diff --git a/analysis/current/analysis-report-hybrid.json b/analysis/current/analysis-report-hybrid.json index 7792cc8fb7235d551f67e3bec4761142e1807fd6..894a94fb71222420e5d332a4f9b31464d681dc6a 100644 --- a/analysis/current/analysis-report-hybrid.json +++ b/analysis/current/analysis-report-hybrid.json @@ -1,14 +1,14 @@ { "schema_version": "1.0", "repo": "huggingface/diffusers", - "snapshot_id": "20260418T163535Z", - "generated_at": "2026-04-18T19:34:10Z", + "snapshot_id": "20260421T173535Z", + "generated_at": "2026-04-21T18:24:37Z", "evidence_quality": "full", "llm_enrichment": true, "meta_bugs": [ { - "cluster_id": "cluster-1246-23", - "summary": "Cluster of 19 issues and 4 PRs centered on issue #13124.", + "cluster_id": "cluster-1246-22", + "summary": "Cluster of 17 issues and 5 PRs centered on issue #13124.", "status": "open", "confidence": 0.99, "canonical_issue_number": 13124, @@ -16,7 +16,6 @@ "issue_numbers": [ 1246, 2780, - 3884, 6086, 6098, 6124, @@ -28,7 +27,6 @@ 7330, 8871, 9628, - 9970, 9973, 10752, 10910, @@ -38,7 +36,8 @@ 6566, 10783, 10889, - 13273 + 13273, + 13510 ], "evidence_types": [ "closing_reference", @@ -80,6 +79,17 @@ "shared_filenames": [], "shared_file_areas": [] }, + { + "left_pr_number": 6566, + "right_pr_number": 13510, + "code_similarity": 0.081, + "size_similarity": 0.294, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.15, + "shared_filenames": [], + "shared_file_areas": [] + }, { "left_pr_number": 10783, "right_pr_number": 10889, @@ -150,6 +160,17 @@ } ] }, + { + "left_pr_number": 10783, + "right_pr_number": 13510, + "code_similarity": 0.17, + "size_similarity": 0.8, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.065, + "shared_filenames": [], + "shared_file_areas": [] + }, { "left_pr_number": 10889, "right_pr_number": 13273, @@ -182,6 +203,46 @@ ] } ] + }, + { + "left_pr_number": 10889, + "right_pr_number": 13510, + "code_similarity": 0.15, + "size_similarity": 0.7, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.065, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 13273, + "right_pr_number": 13510, + "code_similarity": 0.037, + "size_similarity": 0.052, + "file_overlap": 0.059, + "area_overlap": 0.0, + "patch_similarity": 0.057, + "shared_filenames": [ + "examples/dreambooth/train_dreambooth_lora.py" + ], + "shared_file_areas": [ + { + "filename": "examples/dreambooth/train_dreambooth_lora.py", + "left_ranges": [ + [ + 155, + 173 + ] + ], + "right_ranges": [ + [ + 1398, + 1413 + ] + ] + } + ] } ] }, @@ -736,23 +797,24 @@ ] }, { - "cluster_id": "cluster-6832-8", - "summary": "Cluster of 6 issues and 2 PRs centered on issue #8863.", + "cluster_id": "cluster-6503-9", + "summary": "Cluster of 1 issues and 8 PRs centered on issue #6503.", "status": "merged", "confidence": 0.6, - "canonical_issue_number": 8863, - "canonical_pr_number": 9881, + "canonical_issue_number": 6503, + "canonical_pr_number": 6532, "issue_numbers": [ - 6832, - 6914, - 8817, - 8863, - 9448, - 9901 + 6503 ], "pr_numbers": [ - 6835, - 9881 + 6525, + 6526, + 6532, + 6534, + 6555, + 6556, + 6558, + 6576 ], "evidence_types": [ "closing_reference", @@ -760,730 +822,499 @@ ], "pr_comparisons": [ { - "left_pr_number": 6835, - "right_pr_number": 9881, - "code_similarity": 0.087, - "size_similarity": 0.285, + "left_pr_number": 6525, + "right_pr_number": 6526, + "code_similarity": 0.269, + "size_similarity": 0.893, "file_overlap": 0.0, "area_overlap": 0.0, - "patch_similarity": 0.2, + "patch_similarity": 0.6, "shared_filenames": [], "shared_file_areas": [] - 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"cluster_id": "cluster-2500-4", - "canonical_issue_number": 10958, + "cluster_id": "cluster-281-4", + "canonical_issue_number": 281, "duplicate_issue_numbers": [ - 2500 + 725 ], - "reason": "Issues in cluster-2500-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." + "reason": "Issues in cluster-281-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." }, { "cluster_id": "cluster-3487-4", @@ -18617,41 +17653,42 @@ "reason": "Issues in cluster-3487-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." }, { - "cluster_id": "cluster-3954-6", - "canonical_issue_number": 3954, + "cluster_id": "cluster-4478-9", + "canonical_issue_number": 4619, "duplicate_issue_numbers": [ - 6137, - 8236 + 4478, + 4752, + 5510, + 7572, + 7854 ], - "reason": "Issues in cluster-3954-6 are treated as duplicates because they share closing_reference, soft_similarity evidence." + "reason": "Issues in cluster-4478-9 are treated as duplicates because they share closing_reference, soft_similarity evidence." }, { - "cluster_id": "cluster-5783-4", - "canonical_issue_number": 5783, + "cluster_id": "cluster-6137-4", + "canonical_issue_number": 8236, "duplicate_issue_numbers": [ - 7549 + 6137 ], - "reason": "Issues in cluster-5783-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." + "reason": "Issues in cluster-6137-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." }, { - "cluster_id": "cluster-6832-8", - "canonical_issue_number": 8863, + "cluster_id": "cluster-9237-5", + "canonical_issue_number": 9237, "duplicate_issue_numbers": [ - 6832, - 6914, - 8817, - 9448, - 9901 + 9497, + 9548 ], - "reason": "Issues in cluster-6832-8 are treated as duplicates because they share closing_reference, soft_similarity evidence." + "reason": "Issues in cluster-9237-5 are treated as duplicates because they share closing_reference, soft_similarity evidence." }, { - "cluster_id": "cluster-9237-4", - "canonical_issue_number": 9237, + "cluster_id": "cluster-9514-5", + "canonical_issue_number": 10989, "duplicate_issue_numbers": [ - 9548 + 9514, + 10337 ], - "reason": "Issues in cluster-9237-4 are treated as duplicates because they share closing_reference, soft_similarity evidence." + "reason": "Issues in cluster-9514-5 are treated as duplicates because they share closing_reference, soft_similarity evidence." } ], "duplicate_prs": [ @@ -18694,6 +17731,15 @@ "target_issue_number": null, "reason": "PRs in cluster-10132-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-10268-2", + "canonical_pr_number": 10781, + "duplicate_pr_numbers": [ + 10268 + ], + "target_issue_number": null, + "reason": "PRs in cluster-10268-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-10279-2", "canonical_pr_number": 10279, @@ -18722,24 +17768,6 @@ "target_issue_number": null, "reason": "PRs in cluster-10386-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-10402-2", - "canonical_pr_number": 10434, - "duplicate_pr_numbers": [ - 10402 - ], - "target_issue_number": null, - "reason": "PRs in cluster-10402-2 are treated as duplicates because they share soft_similarity evidence." - }, - { - "cluster_id": "cluster-10453-4", - "canonical_pr_number": 10548, - "duplicate_pr_numbers": [ - 10454 - ], - "target_issue_number": 10453, - "reason": "PRs in cluster-10453-4 are treated as duplicates because they converge on issue #10453 with closing_reference, soft_similarity evidence." - }, { "cluster_id": "cluster-10464-2", "canonical_pr_number": 10465, @@ -18830,6 +17858,15 @@ "target_issue_number": 11285, "reason": "PRs in cluster-11285-3 are treated as duplicates because they converge on issue #11285 with closing_reference 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, @@ -18840,26 +17877,19 @@ "reason": "PRs in cluster-11358-2 are treated as duplicates because they share soft_similarity evidence." }, { - "cluster_id": "cluster-11390-7", + "cluster_id": "cluster-11390-9", "canonical_pr_number": 11463, "duplicate_pr_numbers": [ 11395, 11426, 11427, + 11471, + 11472, 11491, 11492 ], "target_issue_number": 11390, - "reason": "PRs in cluster-11390-7 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." + "reason": "PRs in cluster-11390-9 are treated as duplicates because they converge on issue #11390 with closing_reference, soft_similarity evidence." }, { "cluster_id": "cluster-11445-3", @@ -18871,6 +17901,15 @@ "target_issue_number": null, "reason": "PRs in cluster-11445-3 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-11455-2", + "canonical_pr_number": 11455, + "duplicate_pr_numbers": [ + 11465 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11455-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-11522-2", "canonical_pr_number": 12069, @@ -18999,15 +18038,34 @@ "reason": "PRs in cluster-12458-3 are treated as duplicates because they converge on issue #12458 with closing_reference evidence." }, { - "cluster_id": "cluster-1246-23", + "cluster_id": "cluster-1246-22", "canonical_pr_number": 6566, "duplicate_pr_numbers": [ 10783, 10889, - 13273 + 13273, + 13510 ], "target_issue_number": 13124, - "reason": "PRs in cluster-1246-23 are treated as duplicates because they converge on issue #13124 with closing_reference, duplicate_reference, shared_issue_target, soft_similarity evidence." + "reason": "PRs in cluster-1246-22 are treated as duplicates because they converge on issue #13124 with closing_reference, duplicate_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12540-3", + "canonical_pr_number": 13109, + "duplicate_pr_numbers": [ + 13517 + ], + "target_issue_number": 12540, + "reason": "PRs in cluster-12540-3 are treated as duplicates because they converge on issue #12540 with closing_reference evidence." + }, + { + "cluster_id": "cluster-12555-3", + "canonical_pr_number": 12555, + "duplicate_pr_numbers": [ + 13518 + ], + "target_issue_number": 13062, + "reason": "PRs in cluster-12555-3 are treated as duplicates because they converge on issue #13062 with closing_reference evidence." }, { "cluster_id": "cluster-1256-2", @@ -19019,13 +18077,22 @@ "reason": "PRs in cluster-1256-2 are treated as duplicates because they share soft_similarity evidence." }, { - "cluster_id": "cluster-1274-4", - "canonical_pr_number": 1787, + "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-12656-3", + "canonical_pr_number": 13110, "duplicate_pr_numbers": [ - 1279 + 13516 ], - "target_issue_number": 1274, - "reason": "PRs in cluster-1274-4 are treated as duplicates because they converge on issue #1274 with closing_reference, soft_similarity evidence." + "target_issue_number": 12656, + "reason": "PRs in cluster-12656-3 are treated as duplicates because they converge on issue #12656 with closing_reference, shared_issue_target, soft_similarity evidence." }, { "cluster_id": "cluster-12754-3", @@ -19065,13 +18132,23 @@ "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-13074-3", + "cluster_id": "cluster-12913-3", + "canonical_pr_number": 13513, + "duplicate_pr_numbers": [ + 13272 + ], + "target_issue_number": 12913, + "reason": "PRs in cluster-12913-3 are treated as duplicates because they converge on issue #12913 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-13074-4", "canonical_pr_number": 13075, "duplicate_pr_numbers": [ - 13093 + 13093, + 13514 ], "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." + "reason": "PRs in cluster-13074-4 are treated as duplicates because they converge on issue #13074 with closing_reference, shared_issue_target, soft_similarity evidence." }, { "cluster_id": "cluster-13077-4", @@ -19092,6 +18169,15 @@ "target_issue_number": null, "reason": "PRs in cluster-13118-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-13243-3", + "canonical_pr_number": 13512, + "duplicate_pr_numbers": [ + 13246 + ], + "target_issue_number": 13243, + "reason": "PRs in cluster-13243-3 are treated as duplicates because they converge on issue #13243 with closing_reference, shared_issue_target evidence." + }, { "cluster_id": "cluster-13292-3", "canonical_pr_number": 13415, @@ -19128,6 +18214,15 @@ "target_issue_number": 13411, "reason": "PRs in cluster-13411-3 are treated as duplicates because they converge on issue #13411 with closing_reference evidence." }, + { + "cluster_id": "cluster-13445-3", + "canonical_pr_number": 13455, + "duplicate_pr_numbers": [ + 13509 + ], + "target_issue_number": 13445, + "reason": "PRs in cluster-13445-3 are treated as duplicates because they converge on issue #13445 with closing_reference, shared_issue_target, soft_similarity evidence." + }, { "cluster_id": "cluster-13462-3", "canonical_pr_number": 13471, @@ -19146,6 +18241,15 @@ "target_issue_number": null, "reason": "PRs in cluster-13467-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-1407-4", + "canonical_pr_number": 1416, + "duplicate_pr_numbers": [ + 1796 + ], + "target_issue_number": 1792, + "reason": "PRs in cluster-1407-4 are treated as duplicates because they converge on issue #1792 with closing_reference, soft_similarity evidence." + }, { "cluster_id": "cluster-1466-4", "canonical_pr_number": 2070, @@ -19155,15 +18259,6 @@ "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-1513-2", - "canonical_pr_number": 1513, - "duplicate_pr_numbers": [ - 1564 - ], - "target_issue_number": null, - "reason": "PRs in cluster-1513-2 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-1567-2", "canonical_pr_number": 1618, @@ -19191,6 +18286,15 @@ "target_issue_number": null, "reason": "PRs in cluster-1788-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-2046-2", + "canonical_pr_number": 2046, + "duplicate_pr_numbers": [ + 3952 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2046-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-2067-3", "canonical_pr_number": 2147, @@ -19219,6 +18323,15 @@ "target_issue_number": null, "reason": "PRs in cluster-2217-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-2334-2", + "canonical_pr_number": 2334, + "duplicate_pr_numbers": [ + 2397 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2334-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-2417-2", "canonical_pr_number": 2418, @@ -19237,15 +18350,6 @@ "target_issue_number": null, "reason": "PRs in cluster-2450-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-2500-4", - "canonical_pr_number": 11195, - "duplicate_pr_numbers": [ - 2517 - ], - "target_issue_number": 10958, - "reason": "PRs in cluster-2500-4 are treated as duplicates because they converge on issue #10958 with closing_reference, soft_similarity evidence." - }, { "cluster_id": "cluster-2541-2", "canonical_pr_number": 2566, @@ -19276,6 +18380,15 @@ "target_issue_number": null, "reason": "PRs in cluster-2741-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-281-4", + "canonical_pr_number": 361, + "duplicate_pr_numbers": [ + 727 + ], + "target_issue_number": 281, + "reason": "PRs in cluster-281-4 are treated as duplicates because they converge on issue #281 with closing_reference, soft_similarity evidence." + }, { "cluster_id": "cluster-2812-3", "canonical_pr_number": 2815, @@ -19304,16 +18417,6 @@ "target_issue_number": null, "reason": "PRs in cluster-2842-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-3008-4", - "canonical_pr_number": 3197, - "duplicate_pr_numbers": [ - 3201, - 3265 - ], - "target_issue_number": 3008, - "reason": "PRs in cluster-3008-4 are treated as duplicates because they converge on issue #3008 with closing_reference, soft_similarity evidence." - }, { "cluster_id": "cluster-3084-2", "canonical_pr_number": 3459, @@ -19442,6 +18545,16 @@ "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-3896-3", + "canonical_pr_number": 4097, + "duplicate_pr_numbers": [ + 3896, + 4016 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3896-3 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-3944-3", "canonical_pr_number": 3945, @@ -19451,16 +18564,6 @@ "target_issue_number": 3944, "reason": "PRs in cluster-3944-3 are treated as duplicates because they converge on issue #3944 with closing_reference, soft_similarity evidence." }, - { - "cluster_id": "cluster-3954-6", - "canonical_pr_number": 8312, - "duplicate_pr_numbers": [ - 3983, - 6143 - ], - "target_issue_number": 3954, - "reason": "PRs in cluster-3954-6 are treated as duplicates because they converge on issue #3954 with closing_reference, soft_similarity evidence." - }, { "cluster_id": "cluster-4076-2", "canonical_pr_number": 4079, @@ -19497,6 +18600,16 @@ "target_issue_number": null, "reason": "PRs in cluster-4475-2 are treated as duplicates because they share soft_similarity evidence." }, + { + "cluster_id": "cluster-4478-9", + "canonical_pr_number": 4796, + "duplicate_pr_numbers": [ + 4632, + 7858 + ], + "target_issue_number": 4619, + "reason": "PRs in cluster-4478-9 are treated as duplicates because they converge on issue #4619 with closing_reference, soft_similarity evidence." + }, { "cluster_id": "cluster-4485-2", "canonical_pr_number": 4486, @@ -19609,6 +18722,15 @@ "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-5104-2", + "canonical_pr_number": 5105, + "duplicate_pr_numbers": [ + 5104 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5104-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-5214-3", "canonical_pr_number": 5305, @@ -19635,7 +18757,7 @@ 5312 ], "target_issue_number": 5249, - "reason": "PRs in cluster-5249-4 are treated as duplicates because they converge on issue #5249 with closing_reference evidence." + "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", @@ -19730,25 +18852,6 @@ "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-5833-3", - "canonical_pr_number": 5834, - "duplicate_pr_numbers": [ - 5833, - 7934 - ], - "target_issue_number": null, - "reason": "PRs in cluster-5833-3 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-5878-2", "canonical_pr_number": 5878, @@ -19794,15 +18897,6 @@ "target_issue_number": null, "reason": "PRs in cluster-5982-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-6119-2", - "canonical_pr_number": 6119, - "duplicate_pr_numbers": [ - 6231 - ], - "target_issue_number": null, - "reason": "PRs in cluster-6119-2 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-6123-3", "canonical_pr_number": 6328, @@ -19812,6 +18906,15 @@ "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, @@ -19822,13 +18925,13 @@ "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, + "cluster_id": "cluster-6207-2", + "canonical_pr_number": 6266, "duplicate_pr_numbers": [ - 6241 + 6207 ], "target_issue_number": null, - "reason": "PRs in cluster-6208-2 are treated as duplicates because they share soft_similarity evidence." + "reason": "PRs in cluster-6207-2 are treated as duplicates because they share soft_similarity evidence." }, { "cluster_id": "cluster-6261-2", @@ -19870,36 +18973,43 @@ "reason": "PRs in cluster-6453-2 are treated as duplicates because they share soft_similarity evidence." }, { - "cluster_id": "cluster-6503-7", + "cluster_id": "cluster-6503-9", "canonical_pr_number": 6532, "duplicate_pr_numbers": [ 6525, 6526, 6534, 6555, - 6556 + 6556, + 6558, + 6576 ], "target_issue_number": 6503, - "reason": "PRs in cluster-6503-7 are treated as duplicates because they converge on issue #6503 with closing_reference, soft_similarity evidence." + "reason": "PRs in cluster-6503-9 are treated as duplicates because they converge on issue #6503 with closing_reference, soft_similarity evidence." }, { - "cluster_id": "cluster-6514-3", + "cluster_id": "cluster-6514-4", "canonical_pr_number": 6514, "duplicate_pr_numbers": [ 6554, - 6840 + 6840, + 7242 ], "target_issue_number": null, - "reason": "PRs in cluster-6514-3 are treated as duplicates because they share soft_similarity evidence." + "reason": "PRs in cluster-6514-4 are treated as duplicates because they share soft_similarity evidence." }, { - "cluster_id": "cluster-6545-3", + "cluster_id": "cluster-6545-7", "canonical_pr_number": 6569, "duplicate_pr_numbers": [ + 6559, + 6654, + 6655, + 7603, 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." + "reason": "PRs in cluster-6545-7 are treated as duplicates because they converge on issue #6545 with closing_reference, soft_similarity evidence." }, { "cluster_id": "cluster-6585-11", @@ -19954,15 +19064,6 @@ "target_issue_number": null, "reason": "PRs in cluster-6690-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-6832-8", - "canonical_pr_number": 9881, - "duplicate_pr_numbers": [ - 6835 - ], - "target_issue_number": 8863, - "reason": "PRs in cluster-6832-8 are treated as duplicates because they converge on issue #8863 with closing_reference, soft_similarity evidence." - }, { "cluster_id": "cluster-6866-4", "canonical_pr_number": 6941, @@ -19982,6 +19083,15 @@ "target_issue_number": 6891, "reason": "PRs in cluster-6891-3 are treated as duplicates because they converge on issue #6891 with closing_reference evidence." }, + { + "cluster_id": "cluster-6940-2", + "canonical_pr_number": 6947, + "duplicate_pr_numbers": [ + 6940 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6940-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-6980-2", "canonical_pr_number": 6983, @@ -20104,6 +19214,15 @@ "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-8426-2", + "canonical_pr_number": 8426, + "duplicate_pr_numbers": [ + 8427 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8426-2 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-8446-5", "canonical_pr_number": 8461, @@ -20189,15 +19308,6 @@ "target_issue_number": null, "reason": "PRs in cluster-8899-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-8919-2", - "canonical_pr_number": 8919, - "duplicate_pr_numbers": [ - 8932 - ], - "target_issue_number": null, - "reason": "PRs in cluster-8919-2 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-8946-2", "canonical_pr_number": 9131, @@ -20243,16 +19353,6 @@ "target_issue_number": null, "reason": "PRs in cluster-9080-2 are treated as duplicates because they share soft_similarity evidence." }, - { - "cluster_id": "cluster-9083-3", - "canonical_pr_number": 9083, - "duplicate_pr_numbers": [ - 10183, - 10991 - ], - "target_issue_number": null, - "reason": "PRs in cluster-9083-3 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-916-4", "canonical_pr_number": 1110, @@ -20265,13 +19365,13 @@ "reason": "PRs in cluster-916-4 are treated as duplicates because they share soft_similarity evidence." }, { - "cluster_id": "cluster-9237-4", + "cluster_id": "cluster-9237-5", "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." + "reason": "PRs in cluster-9237-5 are treated as duplicates because they converge on issue #9237 with closing_reference, soft_similarity evidence." }, { "cluster_id": "cluster-9403-3", @@ -20282,6 +19382,15 @@ "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-9514-5", + "canonical_pr_number": 10990, + "duplicate_pr_numbers": [ + 10338 + ], + "target_issue_number": 10989, + "reason": "PRs in cluster-9514-5 are treated as duplicates because they converge on issue #10989 with closing_reference, soft_similarity evidence." + }, { "cluster_id": "cluster-9564-3", "canonical_pr_number": 9564, @@ -20356,10 +19465,10 @@ } ], "best_issue": { - "cluster_id": "cluster-1246-23", + "cluster_id": "cluster-1246-22", "issue_number": 13124, - "reason": "Issue #13124 is the strongest global issue candidate because it is open, belongs to a cluster with 23 artifacts, and carries 2 discussion comments plus 4 inbound references.", - "score": 338.0 + "reason": "Issue #13124 is the strongest global issue candidate because it is open, belongs to a cluster with 22 artifacts, and carries 2 discussion comments plus 6 inbound references.", + "score": 330.0 }, "best_pr": { "cluster_id": "cluster-10025-4", diff --git a/analysis/current/analysis-report-hybrid.llm-reviews.json b/analysis/current/analysis-report-hybrid.llm-reviews.json index c20ae08b006afd6cf4e5c2c0eb4bb9d6de8847e5..0482f6a19f07252845c036c742907ce35f3abfe6 100644 --- a/analysis/current/analysis-report-hybrid.llm-reviews.json +++ b/analysis/current/analysis-report-hybrid.llm-reviews.json @@ -1,8 +1,8 @@ { "schema_version": "1.0", "repo": "huggingface/diffusers", - "snapshot_id": "20260418T163535Z", - "generated_at": "2026-04-18T19:34:10Z", + "snapshot_id": "20260421T173535Z", + "generated_at": "2026-04-21T18:24:37Z", "model": "gpt-5.4-mini?service_tier=flex", "reviews": [ { @@ -13,10 +13,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10035", "issue:10091", @@ -99,12 +99,12 @@ ], "prepared_review_unit_hash": "0133da4827865cc18ff504a8d40a95b1bf43e4a1d70288f3555e8f0c674ee8d9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -119,186 +119,186 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "10091 is the best canonical issue anchor because it is open and has an identical title to 10035, making it the clearest live thread in that exact-title cluster. Most other accepted pairs are near-exact symptom matches with strong text overlap, but I rejected the weaker similarity-only pairs where the packet does not establish the same concrete bug path.", - "confidence": 0.77, - "canonical_issue_reason": "Use issue 10091 as the canonical issue anchor: it is open and shares an identical title with 10035, so it is the best surviving report for this exact CogvideoX VAE decoder memory regression cluster.", + "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 10091 is the best global issue candidate because it is open, well-scoped, and is the active issue in the exact-title CogvideoX VAE decoder memory-regression pair.", + "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": "Same CLIPTextModel offload_state_dict TypeError; the titles differ only in formatting." + "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 paper/project report; only casing differs." + "reason": "Same LaVie/LaVIE project title with only capitalization variation; duplicate report." }, { "left": "issue:10035", "right": "issue:10091", "accept": true, - "reason": "Identical title and same CogvideoX VAE decoder memory regression." + "reason": "Exact same CogvideoX VAE decoder memory issue title; duplicate." }, { "left": "issue:5510", "right": "issue:7854", "accept": false, - "reason": "Both mention a half/float mismatch, but the pipeline/context differs and the packet does not establish the same concrete bug path." + "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": true, - "reason": "Same wrong learning-rate scheduler step-count bug in multi-GPU training; the later issue just adds a trigger detail." + "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 CLIPTextModel unexpected offload_state_dict TypeError." + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; clearly overlapping reports." }, { "left": "issue:12436", "right": "issue:12481", "accept": true, - "reason": "Same CLIPTextModel unexpected offload_state_dict TypeError." + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; duplicate variant." }, { "left": "issue:6815", "right": "issue:8759", - "accept": true, - "reason": "Same invalid-cast black-image failure mode in image postprocessing." + "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": "Both are dtype-mismatch errors, but the affected contexts differ and the exact same bug is not established." + "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, re-reported with a similar title." + "reason": "Same FLUX1.dev LoRA load-failure report, just reworded." }, { "left": "issue:4325", "right": "issue:8759", - "accept": true, - "reason": "Same black-image / invalid-cast symptom." + "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 error after loading a fine-tuned textual inversion." + "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 error; the second report adds training context." + "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 membership-check failure." + "reason": "Same NoneType / added_cond_kwargs text_embeds error; duplicate." }, { "left": "issue:11083", "right": "issue:3809", "accept": true, - "reason": "Identical torch-DDP stride-mismatch warning." + "reason": "Same torch-DDP stride mismatch warning; near-exact duplicate wording." }, { "left": "issue:12044", "right": "issue:6324", "accept": true, - "reason": "Identical bool __module__ AttributeError." + "reason": "Exact same AttributeError about bool.__module__; duplicate." }, { "left": "issue:10343", "right": "issue:6815", - "accept": true, - "reason": "Same invalid-cast black-image warning." + "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 runtime error." + "reason": "Same mat1/mat2 shape-mismatch error; duplicate." }, { "left": "issue:2819", "right": "issue:6594", "accept": false, - "reason": "Both are raw.githubusercontent.com fetch failures, but the download targets differ and the packet does not show one underlying bug." + "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." + "reason": "Exact same Float8_e4m3fnStorage lookup failure; duplicate." }, { "left": "issue:4557", "right": "issue:4868", "accept": true, - "reason": "Same super object has no attribute __getattr__ error." + "reason": "Same super object __getattr__ AttributeError; duplicate." }, { "left": "issue:11225", "right": "issue:9546", "accept": false, - "reason": "Both are validation OOM reports, but they involve different model families and do not clearly share one bug path." + "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 multigpu reports, but one is a training problem and the other is a save problem." + "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 failure in the LoRA/text-to-image training script." + "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-gradients bug in the LoRA training script family." + "reason": "Same FP16 unscale failure in text-to-image LoRA training; duplicate." }, { "left": "issue:4104", "right": "issue:6815", "accept": false, - "reason": "Both mention black images, but that is too generic to confirm the same concrete bug." + "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 with numpy-related wording, but the packet only shows similar symptoms, not the same concrete bug path." + "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": "Same DistributedDataParallel object has no dtype AttributeError." + "reason": "Exact same DistributedDataParallel has no dtype AttributeError; duplicate." } ] }, "evaluator_result": { "accept": false, - "feedback": "The packet supports that 10091 is the best canonical anchor because it is open and has an identical title to 10035, but the analyst overstates several relationships that are not established by the packet. In particular, calling 10035 a \u2018duplicate,\u2019 11169\u21946517 the same numpy-binary-incompatibility bug, and 5510\u21947854 the same concrete bug goes beyond the title-level evidence available here. A few other accepts are borderline for the same reason: the summary is a bit too confident where the packet only supports similarity, not confirmed duplication." + "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, @@ -314,10 +314,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10520", "issue:10575", @@ -400,12 +400,12 @@ ], "prepared_review_unit_hash": "85ad060b999b6dfe4d5e443055781096e05483f557cb1d6f1af4713b8d076769", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -420,195 +420,195 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous. A handful of pairs are clear duplicates because they describe the same concrete error in the same code path family (FP16 unscale, identical tensor-shape failure, repo-id validation, tuple-shape attribute error, etc.), but many others are only superficially similar runtime errors and should stay separate.", - "confidence": 0.68, - "canonical_issue_reason": "Issue 6086 is the clearest, most detailed representative of the strongest duplicate subfamily here: the repeated `Attempting to unscale FP16 gradients` failure in `train_text_to_image_lora.py`, with the most discussion and context.", + "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": "As a representative issue for the cluster\u2019s most obvious duplicate family, 6086 is the best anchor: it is specific, well-described, and matches multiple near-identical reports in this set.", + "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 failures, but they point to different modules and different underlying causes; too broad to merge." + "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 index-out-of-bounds errors, but the sizes and contexts differ and no shared concrete bug is evident." + "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 does not exist` failure; likely the same missing/unsupported torchvision build issue." + "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": "Same tensor-size mismatch in `StableDiffusionXLInstructPix2PixPipeline`; this looks like the same underlying shape bug." + "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 target different model repositories and likely separate packaging/model-repo issues." + "reason": "Both mention missing config.json, but they point to different models and loader contexts." }, { "left": "issue:12104", "right": "issue:9362", "accept": false, - "reason": "Both are index errors, but the reported sizes and likely execution paths are unrelated." + "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 mismatches, but they arise in different pipelines and with different tensor/bias combinations." + "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": true, - "reason": "Identical invalid reshape error with the same shape tuple and input size; this strongly suggests the same underlying bug." + "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 involve different dtype pairs and different training/validation paths." + "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": "These are wrapper import failures for different pipeline modules; the underlying traceback is not the same concrete bug." + "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 are missing-file/model-repo issues, but the missing artifacts and models differ enough to treat them separately." + "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 HF repo-id validation error; `736` is just a more specific manifestation of the same validation failure." + "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": "Same error wording about device mismatch, but different scripts and no evidence of a shared code-path fix." + "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 `Attempting to unscale FP16 gradients` failure in the same LoRA training script family." + "reason": "Same exact FP16 unscale failure in the LoRA text-to-image training script family." }, { "left": "issue:7261", "right": "issue:7286", "accept": true, - "reason": "Same Custom Diffusion cross-attention weight-loading problem; the second just narrows it to a specific pipeline variant." + "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": "Same broad dtype-mismatch pattern, but the contexts and actual mismatched types differ; too generic to merge." + "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 matmul dtype mismatch errors, but the exact dtype pairs and affected pipelines are different." + "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 copy failures, but one is a pipeline load and the other is a single-file GGUF load; not enough evidence of one concrete bug." + "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": true, - "reason": "Same `tuple`-has-no-`shape` error in the IP-Adapter/ControlNet-related code path family." + "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:6368", - "right": "issue:8581", - "accept": true, - "reason": "Same checkpoint-alpha unsupported failure; the layer names differ, but the underlying checkpoint-format rejection is the same." + "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:10575", - "right": "issue:5749", + "left": "issue:6445", + "right": "issue:6821", "accept": false, - "reason": "Both are index-out-of-bounds errors, but the reported dimensions are different and no shared bug is shown." + "reason": "Both are caption_column validation issues, but the accepted values and dataset-schema contexts differ." }, { - "left": "issue:1433", - "right": "issue:3489", + "left": "issue:2780", + "right": "issue:7330", "accept": true, - "reason": "Same `OnnxRuntimeModel` missing `config` attribute bug in ONNX pipeline variants." + "reason": "Same exact Attempting to unscale FP16 gradients failure in the LoRA text-to-image training script family." }, { - "left": "issue:10520", - "right": "issue:7891", + "left": "issue:6832", + "right": "issue:8863", "accept": false, - "reason": "Both are device-mismatch errors, but they are only symptom-level similar and lack a shared concrete code path." + "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:6832", - "right": "issue:8863", - "accept": true, - "reason": "Same `tuple` object has no `shape` failure; one issue is simply a more specific pipeline report of the same bug." + "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:10958", - "right": "issue:2500", - "accept": true, - "reason": "Same `Cannot copy out of meta tensor; no data!` error, with `2500` being the broader earlier report of the same failure mode." + "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": true, - "reason": "Same checkpoint-alpha unsupported failure; the layer names differ, but the underlying checkpoint-format rejection is the same." + "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 reported dimensions are different and no shared bug is shown." + "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` missing `config` attribute bug in ONNX pipeline variants." - }, - { - "left": "issue:10520", - "right": "issue:7891", - "accept": false, - "reason": "Both are device-mismatch errors, but they are only symptom-level similar and lack a shared concrete code path." + "reason": "Same OnnxRuntimeModel has no attribute config error; the second is a pipeline-specific duplicate of the first." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays appropriately conservative. The selected canonical issue (6086) is well supported as the clearest representative of the repeated FP16-unscale LoRA-train failure, and the accepted soft-edge pairs are all backed by matching concrete error strings or very close code-path evidence. Rejections also look appropriately cautious for superficially similar runtime errors." + "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": false, + "retried": true, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -621,10 +621,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10520", "issue:10722", @@ -703,12 +703,12 @@ ], "prepared_review_unit_hash": "607f7cefb8a8b1a8a7a41bf1917a6d6b32b91415c039c9b64fcb91cb7e765f87", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -723,168 +723,168 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly issue-to-issue duplicate candidates with a few clear exact matches; strongest duplicate family is the repeated FP16 gradient unscale training errors. No PRs are present.", - "confidence": 0.78, - "canonical_issue_reason": "issue:7330 is the broadest, clearest representative of the recurring \"Attempting to unscale FP16 gradients\" family and sits at the center of several near-duplicate training-script reports.", + "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": "Good canonical issue candidate because it names the core error directly and is generic enough to anchor the related LoRA/DreamBooth variants.", + "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": "Identical title and same feature request; clear duplicate." + "reason": "Exact same title and same feature request; these are duplicates." }, { "left": "issue:9063", "right": "issue:9443", - "accept": true, - "reason": "Same tokenizer-instantiation failure message; only the model/pipeline context differs." + "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 problem with nearly identical wording." + "reason": "Same DreamBooth output complaint with near-identical wording; duplicate reports." }, { "left": "issue:3651", "right": "issue:6278", "accept": false, - "reason": "Both are multi-GPU training complaints, but they concern different scripts and do not clearly share one concrete bug." + "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-format incompatibility in diffusers; likely the same loader compatibility bug." + "reason": "Both report FLUX LoRA key incompatibility with diffusers loaders; same underlying compatibility bug." }, { "left": "issue:5022", "right": "issue:5661", "accept": true, - "reason": "Same missing PreTrainedTokenizer import symptom across diffusers versions; same underlying regression." + "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 mismatch errors, but the shapes differ substantially and the reports point to different failures." + "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 about save failures and the other about training failures; related theme, but not the same concrete bug." + "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-gradient unscale error in closely related LoRA training paths; plausible single fix." + "reason": "Same FP16 unscale error in closely related DreamBooth/LoRA training paths." }, { "left": "issue:10952", "right": "issue:9602", - "accept": false, - "reason": "Both mention adapter-name lookup, but the adapter states and contexts differ too much to treat as one bug." + "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": "Near-identical FLUX.1-dev DreamBooth multigpu training problem; same underlying issue." + "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 failures, but they are different unsupported operations with different traces." + "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 exact FP16-gradient unscale error in LoRA training scripts; strong duplicate." + "reason": "Same \"Attempting to unscale FP16 gradients\" training failure across related scripts." }, { "left": "issue:6124", "right": "issue:7330", "accept": true, - "reason": "Same exact FP16-gradient unscale error; notebook vs script is just a surface difference." + "reason": "Same FP16 gradient unscale error in DreamBooth/LoRA training flows." }, { "left": "issue:9628", "right": "issue:9973", "accept": true, - "reason": "Same FP16-gradient unscale error in DreamBooth LoRA training; duplicate report." + "reason": "Both report the same FP16 unscale failure in DreamBooth LoRA SD3 training." }, { "left": "issue:9448", "right": "issue:9901", "accept": true, - "reason": "Both report the same tuple/shape handling failure with attention/IP-Adapter processing." + "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 involve different missing files and different model repos." + "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": "Both are device-mismatch runtime errors, but the pipelines and contexts are different enough that this is not clearly one bug." + "reason": "Same device-mismatch symptom, but different models and no evidence they share the same fix." }, { "left": "issue:13261", "right": "issue:13311", - "accept": false, - "reason": "Both are FLUX2 LoRA-related, but one is a general LoRA/LoKR incompatibility report and the other is a specific prefix/key lookup failure." + "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": "Same broad dtype-mismatch class, but the model paths and exact failure modes are not the same concrete bug." + "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": "Identical torchvision::nms missing-operator error; clear duplicate." + "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 involve different missing symbols and likely different fixes." + "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 arguments and likely different API breakages." + "reason": "Both are unexpected-argument constructor errors, but for different classes and different arguments." }, { "left": "issue:4752", "right": "issue:5510", - "accept": true, - "reason": "Same half-vs-float bias/input mismatch in SDXL inference paths; likely one shared fix." + "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": true, - "reason": "Both describe the same inpainting weight-shape mismatch around conv_in loading (4-channel vs 9-channel weights)." + "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 the accepted soft-edge verdicts are conservative overall. The canonical issue choice and the note that no PRs are present are both supported by the data." + "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, @@ -900,10 +900,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10343", @@ -984,12 +984,12 @@ ], "prepared_review_unit_hash": "73578b402a4ad4b2104ce6c628216c4a575d394ab066dcd47fccc3a7c973f6e2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -1004,174 +1004,168 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a mix of unrelated issue reports that only share broad error themes. I accepted a few strong duplicates where the exact exception/path matches; most candidate edges are too model-, backend-, or script-specific to merge safely.", - "confidence": 0.66, - "canonical_issue_reason": "issue:11702 is the clearest representative of the recurring LoRA-loading/key-mismatch subgroup and has inbound references, making it a good anchor for the cluster's most repeated bug theme.", + "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:13261 has the richest discussion and the most inbound references in the set, so it's the strongest overall cluster representative even though it is model-specific.", + "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": "Different code paths: load_lora_weights attribute error vs accelerate.load_checkpoint_and_dispatch named_parameters error." + "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 half/float16 dtype-mismatch family on Stable Diffusion 2; the underlying precision bug appears to be the same." + "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": false, - "reason": "Same broad dtype-mismatch theme, but different pipeline contexts; not enough evidence for one concrete duplicate bug." + "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 AttributeErrors, but on different missing attributes and different objects; not the same bug." + "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": "Same xformers/CUDA symptom class, but one is inference and the other is training; too little code-path overlap." + "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 FP16 unscale message, but different training scripts and model setups; likely related but not the same concrete issue." + "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 mention tuple/shape errors, but the trigger and surrounding code differ." + "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": "LoRA loading bug vs batch inference usage question; not the same underlying change or defect." + "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 report Stable Diffusion 2 half-precision failures with the same dtype mismatch symptom." + "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": "Similar old-API breakage, but one is load_attn_procs and the other attn_processors; distinct failures." + "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": "Both are missing-file OSErrors, but they look like different loader expectations and different files." + "reason": "Different missing-file errors: fp16 weight file vs model_index.json. Separate problems." }, { "left": "issue:10343", "right": "issue:8759", "accept": true, - "reason": "Same image_processor cast warning and black-image symptom at the same code line." + "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": "Same dtype-mismatch family, but different backend/pipeline setup; not clearly the same code-path bug." + "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": "Related half/bias mismatch symptoms, but one is SDXL pipeline code and the other is XLA-specific; too different." + "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 errors, but the specifics differ completely (empty-dimension vs concurrent-call out-of-range)." + "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 a compiler temp-file error; the other is cleanup/documentation around FP8 examples." + "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": "Opposite dataset-column validation errors; not the same bug." + "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 exact '__getattr__' AttributeError string; this is a clear duplicate pair." + "reason": "Same AttributeError on __getattr__ with the same underlying failure signature." }, { "left": "issue:3481", "right": "issue:3829", "accept": false, - "reason": "Different reproducibility complaints on different schedulers/pipelines; same broad topic only." + "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 AttributeErrors on different objects and APIs." + "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, but for different symbols and different loaders; not the same missing export." + "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": "Same diffusers LoRA key-loading failure; only the affected video model differs." + "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 tokenizer/config.json lookup mistake during model loading." + "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 from different pipeline modules." + "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": "Same attention_processor unpacking ValueError in the same code path." - }, - { - "left": "issue:11849", - "right": "issue:11901", - "accept": false, - "reason": "Both are Wan2.1 LoRA loading complaints, but they point to different model/checkpoint incompatibilities and workflows." + "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 the accepted soft edges are mostly conservative: they rely on close matches in exception text or the same loader/error path rather than loose thematic similarity. The representative-issue choices are also supported by discussion volume and inbound references. No clear overstatement stands out." + "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, @@ -1187,10 +1181,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10472", @@ -1272,12 +1266,12 @@ ], "prepared_review_unit_hash": "69f6c3b012e089969579c58875f2c9d8070b05eafba8e2ed3f84f646c5061c15", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -1292,186 +1286,150 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Most items are unrelated issue reports that only share broad exception templates. The only clear duplicate cluster is the CLIPTextModel offload_state_dict TypeError trio (12480/12481/12482), which all describe the same underlying bug. The rest are similar-looking but differ in model, pipeline, or exact failure mode.", - "confidence": 0.91, - "canonical_issue_reason": "issue:12436 is the earliest report of the CLIPTextModel offload_state_dict TypeError and matches the later 12480/12481/12482 reports closely enough to serve as the canonical bug tracker entry.", + "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:12436 is the cleanest representative of the shared CLIPTextModel offload_state_dict failure: it is earlier than the near-identical October duplicates and states the exception directly.", + "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": false, - "reason": "Same generic CUDA error text, but no evidence they share the same underlying fix or code path." + "accept": true, + "reason": "Same underlying runtime failure: Torch was built without CUDA support." }, { "left": "issue:12174", "right": "issue:4557", - "accept": false, - "reason": "Identical exception wording, but the reports lack enough shared context to confirm the same underlying bug." + "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 transformers attribute errors, but they refer to different missing symbols and are not the same bug." + "reason": "Both are missing-transformers-symbol errors, but they involve different attributes and likely different breakages." }, { "left": "issue:4619", "right": "issue:7854", - "accept": false, - "reason": "Both mention a dtype mismatch, but they occur in different contexts and do not clearly share one concrete code-path defect." + "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 failure modes: astype on Tensor vs dtype on DistributedDataParallel." + "reason": "Different AttributeErrors in different code paths; only superficially similar." }, { "left": "issue:4198", "right": "issue:5399", "accept": false, - "reason": "Both are matmul dtype mismatches, but the affected pipelines and symptom context differ too much to treat as one bug." + "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 not enough evidence of the same concrete root cause or fix." + "reason": "Same broad dtype-mismatch theme, but different scenarios and no evidence of the same concrete defect." }, { "left": "issue:4104", "right": "issue:4325", - "accept": false, - "reason": "Both produce black images / invalid cast warnings, but the pipeline and failure context are not shown to be the same." + "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 mismatches, but the dimensions, model, and likely failing operation differ." + "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 general dtype mismatch class, but different pipeline/training context and not clearly one reproducible bug." + "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": false, - "reason": "Both involve tokenize on NoneType, but they are separate reports with insufficient evidence of a single shared root cause." + "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-attribute import errors, but they involve different pipeline classes and are not the same issue." + "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 missing loader mixin imports, but they target different mixin names and do not look like one duplicate bug." + "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": false, - "reason": "Both mention meta-tensor copy failures, but the model/loading scenarios differ and the bug is not clearly identical." + "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": "Shared meta-tensor error text, but the reported context differs and could require different fixes." + "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 are LoRA-related ModuleList attribute errors, but the missing attribute differs and they do not look like the same code path." + "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 involve .convert errors, but one is dict vs str and the training scenarios differ." + "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 dtype-mismatch family, but the reports are about different SDXL workflows and not one concrete bug." + "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": false, - "reason": "Very similar error string, but the affected pipelines differ and there is no clear shared fix." + "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 mention NoneType/tokenize-style failures, but the prompt shapes and pipeline contexts are different." - }, - { - "left": "issue:10472", - "right": "issue:12436", - "accept": false, - "reason": "Both are TypeError constructor-argument problems, but they involve different unexpected kwargs and different loaders." - }, - { - "left": "issue:10154", - "right": "issue:6444", - "accept": false, - "reason": "Different attribute errors in different LoRA/training contexts; not the same bug." - }, - { - "left": "issue:12436", - "right": "issue:5171", - "accept": false, - "reason": "Different unexpected constructor arguments on different pipeline classes." - }, - { - "left": "issue:6832", - "right": "issue:9448", - "accept": false, - "reason": "Both are tuple/shape-related IP-Adapter errors, but the pipelines and exact failure points differ." - }, - { - "left": "issue:12719", - "right": "issue:12722", - "accept": false, - "reason": "Same Qwen-image deployment area, but one is a quantization/device_map question and the other is a general runtime question." + "reason": "Both have AttributeError wording, but the failure modes and contexts are unrelated." }, { "left": "issue:12481", "right": "issue:12482", "accept": true, - "reason": "Near-identical CLIPTextModel offload_state_dict TypeError reports with the same underlying constructor-argument bug." + "reason": "Near-exact duplicate offload_state_dict CLIPTextModel TypeError report." }, { "left": "issue:12480", "right": "issue:12482", "accept": true, - "reason": "Same exact CLIPTextModel offload_state_dict constructor error; clearly the same bug report family." - }, - { - "left": "issue:12480", - "right": "issue:12481", - "accept": true, - "reason": "These are essentially the same report, differing only by minor title punctuation/typo." + "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 stays conservative on the soft-edge pairs. The CLIPTextModel offload_state_dict trio is a reasonable duplicate cluster based on the nearly identical titles, and the rejection reasons for the other pairs do not overclaim shared root cause evidence." + "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, @@ -1487,10 +1445,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10453", "issue:10542", @@ -1574,12 +1532,12 @@ ], "prepared_review_unit_hash": "3956d44b6e51cf614bf31430d31769dbd7ca253143c224f3ff7755b21c5f9a25", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -1594,192 +1552,192 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Conservative triage: the packet contains several recurring issue families (FP16 unscale, import/name errors, Hunyuan/Wan/Flux training reports), but these soft edges should be treated as tentative rather than definitive duplicate groups from titles/snippets alone. No pull requests are present.", - "confidence": 0.71, - "canonical_issue_reason": "Issue 6454 is the cleanest representative of the recurring generic 'Attempting to unscale FP16 gradients.' family because it uses the exact error text without extra script-specific noise.", + "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": "6454 is the strongest global issue representative here: it captures the broad FP16-unscale failure that reappears across multiple related training reports.", + "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 symptom family, but different Wan/model versions and only soft similarity; not enough to call a duplicate." + "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": true, - "reason": "Same Hunyuan Video batch-size >1 limitation; the second reads like a follow-up/repeat report of the same bug." + "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": "Both are attribute errors, but they reference different missing attributes and different failures." + "reason": "Different missing attributes (`control_model` vs `alphas_cumprod`); related area, not the same bug." }, { "left": "issue:10910", "right": "issue:6454", - "accept": true, - "reason": "Same exact FP16 unscale error text; these are plausibly the same underlying training bug." + "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 missing attributes in different Flux2 paths; not the same concrete bug." + "reason": "Different Flux2 failures in different code paths, not the same underlying issue." }, { "left": "issue:6363", "right": "issue:6454", - "accept": true, - "reason": "Same exact FP16 unscale failure reported in closely related LoRA training contexts." + "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": "The later issue explicitly says it is still the same Flux DreamBooth LoRA training problem." + "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": true, - "reason": "Both are the same documentation request about distributed inference with multiple GPUs." + "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": "Different API errors in unrelated functions; only broad error-type similarity." + "reason": "Unrelated keyword-argument failures in different APIs." }, { "left": "issue:9970", "right": "issue:9973", - "accept": true, - "reason": "Same DreamBooth SDXL LoRA training failure with the same FP16-unscale error theme." + "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": "Both are import errors, but for different symbols/pipelines and different breakages." + "reason": "Different missing imports/symbols; not the same code-path failure." }, { "left": "issue:4837", "right": "issue:5737", - "accept": true, - "reason": "Same converter failing on SDXL models; titles indicate the same underlying conversion bug." + "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": true, - "reason": "Same FP16-unscale failure, just surfaced from different training entrypoints." + "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 imports; same subsystem, but not the same concrete failure." + "reason": "Different missing import targets, so not duplicates." }, { "left": "issue:2780", "right": "issue:6454", - "accept": true, - "reason": "Same FP16-unscale error in a closely related training script family." + "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": true, - "reason": "Same dtype mismatch error ('expected scalar type Half but found Float') with minor wording variation." + "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 pipeline names and import failures; not the same bug." + "reason": "Different import targets in different pipelines; too different to merge." }, { "left": "issue:13311", "right": "issue:13350", "accept": false, - "reason": "One is a LoRA key-loading error, the other is a usage question about batch inference." + "reason": "One is about missing LoRA keys, the other about batch inference usage; not the same bug." }, { "left": "issue:6832", "right": "issue:6914", - "accept": true, - "reason": "Same IP-Adapter Face ID tuple-shape failure; the offload mention looks like a variant of the same underlying issue." + "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": "Attribute errors on different objects and in different code paths; not the same bug." + "reason": "Different attribute errors in different offload/load paths; related subsystem, not the same bug." }, { "left": "issue:3140", "right": "issue:4615", - "accept": true, - "reason": "Same missing-import problem for the ControlNet pipeline, with only capitalization/name formatting differences." + "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 import target and different missing symbol; not the same underlying bug." + "reason": "Different missing imports; not the same issue." }, { "left": "issue:6098", "right": "issue:6482", - "accept": true, - "reason": "Same FP16-unscale failure, with the second narrowed to a resume-from-checkpoint case." + "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": true, - "reason": "Both report the same 'Attempting to unscale FP16 gradients' training error." + "accept": false, + "reason": "Same generic error text, but no direct evidence beyond title similarity." }, { "left": "issue:1399", "right": "issue:5998", - "accept": true, - "reason": "Same VersatileDiffusion get_down_block signature mismatch caused by unsupported kwargs." + "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": true, - "reason": "Same Wan2.2 Lightning LoRA loading failure, with the second a more specific variant." + "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": true, - "reason": "Both describe the same '__module__' AttributeError on a bool object." + "accept": false, + "reason": "Different attribute errors with different missing members." }, { "left": "issue:4868", "right": "issue:8182", "accept": false, - "reason": "Different AttributeErrors on different objects; only the superficial error type matches." + "reason": "Completely different error messages; not duplicates." }, { "left": "issue:5992", "right": "issue:6324", - "accept": true, - "reason": "Same bool '__module__' AttributeError, likely the same underlying bad type handling." + "accept": false, + "reason": "Different root causes and different failing symbols; not the same bug." } ] }, "evaluator_result": { "accept": false, - "feedback": "The representative-issue choice is mostly grounded, but the soft-edge judgments are too aggressive relative to the packet. Every listed pair has deterministic_accept=false and only soft_similarity evidence; several of the analyst\u2019s \u2018accept\u2019 calls also overstate sameness beyond what the titles/body snippets support (for example, treating different import errors, different attribute errors, or a usage question as duplicates). The summary should stay conservative and not claim definitive duplicate groups from this packet alone." + "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, @@ -1795,10 +1753,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10281", "issue:10594", @@ -1883,12 +1841,12 @@ ], "prepared_review_unit_hash": "6c7c3989b5921fff2a044b0dc4e3d97b5c61abb4b24ed3fd34ff8c984ac20528", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -1903,204 +1861,204 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a mix of unrelated diffusers bugs, but there is one clear duplicate family around `ValueError: Attempting to unscale FP16 gradients.` across multiple training scripts/notebooks. Most other pairs are only superficially similar and should stay separate.", - "confidence": 0.9, - "canonical_issue_reason": "`issue:6098` is the earliest and most generic report of the FP16-gradient unscale error, making it the best umbrella issue for the many later script-specific duplicates.", + "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:6098` has the broadest title/scope for the repeated FP16 unscale failure and is a better cluster anchor than the more script-specific follow-ups.", + "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": "Different API mismatch errors in different functions (`download_from_original_stable_diffusion_ckpt` vs `load_lora_into_unet`)." + "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": "Both are import errors, but for different symbols and different code paths." + "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 request new schedulers, but they are different proposed features (`FreeScale` vs `FreeNoise`)." + "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 mention FLUX controls/LoRA, but the concrete failures differ and do not clearly share one code-path bug." + "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": "Same img2img low-strength scheduler behavior; one is a specific scheduler manifestation of the broader low-strength failure." + "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": "Distinct missing pipeline imports with no evidence of the same underlying export bug." + "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": "Different missing imports in different modules (`StableDiffusionControlnetPipeline` vs `LoraLoaderMixin`)." + "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; not the same concrete bug." + "reason": "Different missing imports from different modules; they are not the same underlying issue." }, { "left": "issue:10910", "right": "issue:6098", "accept": true, - "reason": "Exact same FP16 unscale error report; clearly the same underlying training bug." + "reason": "Same exact FP16-unscale training error; these are duplicate reports of the same bug." }, { "left": "issue:1709", "right": "issue:4868", "accept": false, - "reason": "Unrelated runtime errors (`astype` vs `__getattr__`) with no shared code-path evidence." + "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": "Different unavailable pipeline classes; separate import/export issues." + "reason": "Both are import errors, but for different pipeline names and unrelated missing symbols." }, { "left": "issue:4478", "right": "issue:5510", - "accept": false, - "reason": "Similar dtype mismatch symptom, but different pipelines and not enough evidence of one shared bug." + "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": "Completely different errors (`get_velocity` scheduler API vs DDP `dtype`)." + "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-gradient unscale failure in different DreamBooth LoRA scripts/notebooks." + "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 title and same underlying bug." + "reason": "Exact same error message and training failure; clear duplicate." }, { "left": "issue:384", "right": "issue:5572", "accept": false, - "reason": "Different attribute errors in unrelated objects (`latent_dist` vs `scaling_factor`)." + "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": "Same Dreambooth Windows/MacOS compatibility issue, with `2041` being a narrower duplicate." + "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`)." + "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 file/path errors, but the missing files and scenarios differ." + "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 error during LoRA training; `8871` is a later duplicate report." + "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": "Different API breakages in different training utilities." + "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 error, with `6482` just adding resume-from-checkpoint context." + "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": "Different import failures for different symbols." + "reason": "Both are import problems, but they concern different symbols and unrelated code paths." }, { "left": "issue:4186", "right": "issue:4724", "accept": false, - "reason": "Both concern SDXL behavior, but they involve different pipeline combinations and different concrete failures." + "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 error in LoRA training; one is a script-specific duplicate." + "reason": "Same FP16-unscale training bug; 2780 is just another script-specific report." }, { "left": "issue:6098", "right": "issue:6363", "accept": true, - "reason": "Same underlying FP16-gradient unscale bug; `6363` is a later script-specific report." + "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 across DreamBooth LoRA training variants." + "reason": "Same FP16-unscale failure in SDXL DreamBooth/LoRA training scripts." }, { "left": "issue:5025", "right": "issue:6636", "accept": false, - "reason": "Different import errors involving unrelated symbols/modules." + "reason": "Different missing imports from different modules; they are not the same bug." }, { "left": "issue:1817", "right": "issue:539", "accept": false, - "reason": "Different unexpected-argument API errors on different functions." + "reason": "Different API signature regressions in unrelated helper functions." }, { "left": "issue:11417", "right": "issue:8182", "accept": false, - "reason": "Unrelated attribute typos on different classes; no shared bug." + "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-gradient unscale error; one generic report and one notebook-specific report." + "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 FP16 unscale issues are correctly identified as the main duplicate family, and the other pair judgments mostly avoid over-claiming shared causality. No pull-request mergeability concerns apply here." + "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, @@ -2116,10 +2074,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10722", "issue:12436", @@ -2201,12 +2159,12 @@ ], "prepared_review_unit_hash": "47e9b2c76d107d685e3e0503811621195cae0c6ba28adef8017000913a377e5c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -2221,180 +2179,180 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a mixed bag of unrelated runtime/import issues, but there are a few clear duplicate families: FP16 gradient unscale failures in LoRA training, the offload_state_dict CLIPTextModel regression, a FLUX.2-klein LoKr loading bug, and a pair of nearly identical SDXL text-encoder/controlnet feature requests. No PRs are present in this cluster.", - "confidence": 0.63, - "canonical_issue_reason": "issue:6442 is the best representative of the recurring FP16 gradient-unscale LoRA training failure: it is generic, clearly stated, and matches multiple near-duplicate reports across scripts/notebooks.", + "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": "issue:6442 is the broadest and clearest issue to anchor triage because it captures a common training-path error and already has closely related duplicate reports.", + "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 shape-mismatch errors, but they occur in different SDXL contexts with different tensor dimensions and likely different code paths." + "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 underlying LoRA training failure: 'Attempting to unscale FP16 gradients.' with only wording/context differences." + "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": "Completely different AttributeErrors affecting different objects and code paths." + "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 failing examples and reported assertions differ enough that they do not look like the same bug." + "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": true, - "reason": "Near-identical instruct-pix2pix/controlnet training-and-inference request; same underlying feature ask." + "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": "Same FLUX.2-klein LoRA/LoKr incompatibility, with one being a later report of the same problem." + "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 CLIPTextModel 'offload_state_dict' unexpected kwarg regression, just phrased slightly differently." + "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-related, but the environment/setup details and failure context are too different to confirm the same underlying bug." + "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 failures involving different symbols and different failure modes." + "reason": "Different import errors for different symbols and different failure modes." }, { "left": "issue:4615", "right": "issue:5603", "accept": false, - "reason": "Different missing imports from different modules; no concrete same bug." + "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-shape mismatches, but they involve different models and incompatible dimensions." + "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 mixed-precision type mismatches, but they affect different pipelines and different code paths." + "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 hit '__module__'-style errors, but the triggering objects and example contexts differ too much to treat as the same defect." + "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 AttributeErrors on different classes/objects." + "reason": "Unrelated attribute errors on different objects (`super` getattr vs `Parameter.named_children`)." }, { "left": "issue:2044", "right": "issue:2669", "accept": false, - "reason": "Different errors with no shared code-path evidence." + "reason": "No shared concrete failure: DDP `dtype` access vs `NoneType.replace`." }, { "left": "issue:2780", "right": "issue:6482", "accept": true, - "reason": "Same FP16 unscale gradients bug, reported in different LoRA training scripts." + "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": true, - "reason": "Both report that SDXL LoRA scripts cannot train text encoders; same underlying limitation/bug." + "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": "Different failure types: a missing pipeline attribute versus a library import failure." + "reason": "Completely unrelated failures: missing pipeline attribute vs OpenSSL import-chain error." }, { "left": "issue:6124", "right": "issue:8871", "accept": true, - "reason": "Same 'Attempting to unscale FP16 gradients.' issue, with 6124 being the notebook-specific report." + "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 object attribute errors in unrelated parts of the stack." + "reason": "Different failures and different objects; no duplicate signal." }, { "left": "issue:6324", "right": "issue:8182", "accept": false, - "reason": "Both are AttributeErrors, but on unrelated objects and APIs." + "reason": "`bool.__module__` attribute error and logger typo are unrelated." }, { "left": "issue:2132", "right": "issue:2669", "accept": false, - "reason": "Different training utility error versus unrelated NoneType string operation failure." + "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 they reference different pipelines and different missing symbols." + "reason": "Both are import errors, but for different pipeline symbols and unrelated API surfaces." }, { "left": "issue:4118", "right": "issue:8320", - "accept": true, - "reason": "Both point at the same single-file loading path around AutoencoderKL/from_single_file, so they look like the same bug family." + "accept": false, + "reason": "Different attribute errors involving `AutoencoderKL`; not the same bug." }, { "left": "issue:5603", "right": "issue:6636", "accept": false, - "reason": "Both are missing utilities from diffusers.utils, but the missing symbols are different enough to be separate issues." + "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 from different modules/symbols." + "reason": "Different missing imports with different symbols; not the same failure." }, { "left": "issue:2947", "right": "issue:6126", "accept": false, - "reason": "Different attribute failures involving unrelated model classes." + "reason": "Unrelated model attribute errors (`load_attn_procs` vs `tile_sample_min_size`)." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays mostly conservative. The accepted soft-edge pairs are all plausibly the same bug family or near-identical request, and the rejected pairs avoid over-merging clearly distinct failures. The only mildly speculative area is the single-file AutoencoderKL pair, but it is still framed as a bug family rather than an exact duplicate, which is acceptable here." + "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, @@ -2410,10 +2368,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10062", "issue:10752", @@ -2497,12 +2455,12 @@ ], "prepared_review_unit_hash": "e6af63249f54c248fc5f968d8763bc15874c65dd9677237d3c48bedb53b861f1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -2517,198 +2475,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is dominated by one clear duplicate family around FP16 unscale failures, with issue:6098 as the cleanest representative. The peft_config/SDXL pair is similar in surface form but not evidenced strongly enough to merge as the same bug, so it should stay rejected.", - "confidence": 0.74, - "canonical_issue_reason": "issue:6098 is the most canonical representative of the repeated FP16 unscale bug: it uses the exact generic failure title and best covers the duplicate set around 6086, 6442, 7330, 8871, and 10752.", + "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:6098 is the best overall issue representative because it is the broadest, most direct report of the recurring FP16 gradient unscale failure in the cluster.", + "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": "Different errors and different failure modes; both are AttributeErrors but on unrelated attributes/types." + "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": "Different API compatibility problems: unrelated unexpected kwargs in different code paths." + "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 for different missing symbols in different loader/pipeline modules." + "reason": "Both are import errors, but they are for different missing symbols in different modules." }, { "left": "issue:1249", "right": "issue:2947", "accept": false, - "reason": "Unrelated bugs: ONNX numpy/device handling versus missing load_attn_procs on UNet." + "reason": "Different failures: ONNX numpy/device handling versus missing UNet load_attn_procs support." }, { "left": "issue:11417", "right": "issue:12779", "accept": false, - "reason": "Different problems in different contexts; DDP dtype access is not the same as a missing validation_image_path argument." + "reason": "Different AttributeErrors in unrelated contexts: DDP dtype access versus a missing CLI argument." }, { "left": "issue:6098", "right": "issue:6442", "accept": true, - "reason": "Same underlying bug: the recurring 'Attempting to unscale FP16 gradients' failure in training." + "reason": "Same FP16 gradient unscale failure; the titles and reported error text align closely." }, { "left": "issue:2089", "right": "issue:3382", "accept": false, - "reason": "Both are OOM reports, but they are different training setups and not clearly the same concrete bug." + "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 functions; not the same bug." + "reason": "Different unexpected keyword arguments on different APIs; not the same underlying change." }, { "left": "issue:4529", "right": "issue:9026", "accept": false, - "reason": "Different API compatibility issues with different unexpected keyword arguments." + "reason": "Different kwarg regressions in different loader functions." }, { "left": "issue:6086", "right": "issue:7330", "accept": true, - "reason": "Same FP16 gradient unscale failure reported from the text-to-image LoRA training path." + "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 unrelated objects and attributes." + "reason": "Both are AttributeErrors, but on different objects with unrelated missing fields." }, { "left": "issue:4557", "right": "issue:6126", "accept": false, - "reason": "Different missing attributes on different model classes; not the same bug." + "reason": "Different missing-attribute problems in unrelated model code paths." }, { "left": "issue:2947", "right": "issue:3211", "accept": false, - "reason": "Different missing-attribute failures in different components." + "reason": "Different missing attributes in different model classes; no shared bug is evident." }, { "left": "issue:3787", "right": "issue:4615", "accept": false, - "reason": "Both are import issues, but they involve different symbols and different import problems." + "reason": "Separate import issues for different pipeline symbols." }, { "left": "issue:4478", "right": "issue:7854", "accept": true, - "reason": "These describe the same concrete runtime mismatch: input type and bias type must match." + "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 AttributeErrors in unrelated code paths." + "reason": "Different missing attributes in different model components." }, { "left": "issue:10062", "right": "issue:6444", "accept": false, - "reason": "The titles overlap on peft_config and LoRA/SDXL, but the packet does not establish the same underlying bug rather than two similar AttributeErrors in related paths." - }, - { - "left": "issue:1988", - "right": "issue:4478", - "accept": false, - "reason": "Similar wording about input/bias types, but different scenarios and not clearly the same underlying bug." - }, - { - "left": "issue:5054", - "right": "issue:858", - "accept": false, - "reason": "Unrelated missing attributes on different classes." - }, - { - "left": "issue:2132", - "right": "issue:5919", - "accept": false, - "reason": "Different missing-attribute issues in unrelated training/layer code." - }, - { - "left": "issue:2947", - "right": "issue:858", - "accept": false, - "reason": "Different AttributeErrors on different objects." + "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 Namespace fields for different scripts/options." + "reason": "Different missing CLI arguments in different scripts." }, { "left": "issue:2947", "right": "issue:5029", "accept": false, - "reason": "Different missing attributes on different objects." + "reason": "Different missing attributes on different model objects with no clear shared path." }, { "left": "issue:3816", "right": "issue:8307", "accept": false, - "reason": "Different import/module availability issues with no shared concrete bug." + "reason": "Different import errors for unrelated classes." }, { "left": "issue:5025", "right": "issue:6842", "accept": false, - "reason": "Both are import errors, but they concern different exported symbols." + "reason": "Different missing imports from different modules." }, { "left": "issue:3094", "right": "issue:3382", "accept": false, - "reason": "Both are OOMs in training, but the reports are not specific enough to say they are the same bug." + "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 during LoRA training." + "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": "Both involve SDXL, but they are different features and different failures." + "reason": "Different SDXL/controlnet/inpaint training problems; not the same defect." }, { "left": "issue:4969", "right": "issue:6842", "accept": false, - "reason": "Different missing imports; not the same code-path problem." + "reason": "Different import errors involving different missing symbols." }, { "left": "issue:5029", "right": "issue:5054", "accept": false, - "reason": "Different missing attributes on different objects." + "reason": "Different missing attributes on different model objects." } ] }, "evaluator_result": { "accept": false, - "feedback": "The canonical issue choice and the main FP16-unscale family are grounded, but one soft-edge verdict is too strong for the evidence in the packet: issue:10062 vs issue:6444. The titles share 'peft_config' and both involve LoRA/SDXL training, but the packet does not establish that they are the same underlying bug rather than two similar AttributeErrors in related code paths. The rest of the soft rejections are conservative enough, and the FP16 duplicates (6098/6442, 6086/7330, 10752/8871) look fine." + "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, @@ -2724,10 +2658,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10062", "issue:10337", @@ -2810,12 +2744,12 @@ ], "prepared_review_unit_hash": "4c67400215ebeffbcda3220ae12ccf18d91aaa5fd9ad3f21999b3782ccc5c424", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -2830,192 +2764,192 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous overall, but it contains a few real duplicate families: the FP16-gradient/unscale training errors, the Flux Kontext --instance_prompt error, and the eta keyword scheduler error. Most other pairs are only superficially similar and should stay separate.", - "confidence": 0.64, - "canonical_issue_reason": "Issue 6442 is the best canonical issue because it is the most generic, central report for the repeated FP16 gradient unscale failure, which also appears in several script/notebook-specific duplicates.", + "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 is the strongest representative of the main duplicate family in this set: the recurring \"Attempting to unscale FP16 gradients\" training regression.", + "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": "Both are load/shape-related, but they hit different code paths: UNet checkpoint loading vs LoRA down.weight mismatch." + "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 in different pipelines: ONNX img2img astype vs SDXL final_offload_hook." + "reason": "Unrelated attribute errors on different objects/methods; no shared concrete code path." }, { "left": "issue:6124", "right": "issue:6482", "accept": true, - "reason": "Same underlying FP16 unscale failure in SDXL LoRA training; the resume_from_checkpoint case looks like a variant of the same bug." + "reason": "Same FP16 gradient-unscale error in closely related DreamBooth/LoRA SDXL training flows." }, { "left": "issue:10337", "right": "issue:10989", - "accept": false, - "reason": "Both mention quantized transformers, but one is IPAdapter and the other is ControlNet LoRA; too different for one duplicate." + "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": "Same FP16 gradients/unscale regression, with 9973 being the DreamBooth LoRA SDXL-specific report." + "reason": "Exact same \"Attempting to unscale FP16 gradients\" bug family in training scripts." }, { "left": "issue:6124", "right": "issue:6363", "accept": true, - "reason": "Same FP16 unscale error reported through two training entrypoints; likely the same fix." + "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." + "reason": "Different missing-transformers-attribute failures (CLIPImageProcessor vs DepthNormalEstimationPipeline)." }, { "left": "issue:10472", "right": "issue:11149", "accept": false, - "reason": "Different TypeErrors from different APIs: lora_bias constructor arg vs dtype in quantized param creation." + "reason": "Different bugs: unexpected lora_bias kwarg vs unexpected dtype kwarg in quantizer code." }, { "left": "issue:1544", "right": "issue:2669", "accept": false, - "reason": "Different bugs: missing get_velocity on DDPMScheduler vs a NoneType.replace error." + "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 missing symbols and different fixes." + "reason": "Both are import errors, but they involve different symbols and different failure causes." }, { "left": "issue:10062", "right": "issue:6139", "accept": false, - "reason": "Same class name, but different missing attributes (peft_config vs attn_processors) indicate separate failures." + "reason": "Different UNet attribute failures: missing peft_config vs missing attn_processors." }, { "left": "issue:3973", "right": "issue:9026", "accept": false, - "reason": "Different unexpected-kwarg failures in unrelated helper paths." + "reason": "Different unexpected-kwarg problems in different functions." }, { "left": "issue:859", "right": "issue:9026", "accept": false, - "reason": "Different unexpected keyword arguments and different call sites." + "reason": "Different constructor/load kwargs; same error shape but not the same bug." }, { "left": "issue:7593", "right": "issue:8463", "accept": false, - "reason": "Different attribute failures in different pipelines: image_projection_layers vs tokenize." + "reason": "Both are NoneType attribute errors, but on different objects and unrelated code paths." }, { "left": "issue:4615", - "right": "issue:8915", + "right": "issue:4969", "accept": false, - "reason": "Different import-name failures for different classes." + "reason": "Different import targets from diffusers; not the same missing symbol." }, { "left": "issue:1544", "right": "issue:2132", "accept": false, - "reason": "Unrelated scheduler get_velocity error vs Accelerator.trackers error." + "reason": "Completely different failures: scheduler API mismatch vs Accelerator trackers attribute." }, { "left": "issue:11973", "right": "issue:12547", "accept": true, - "reason": "Same Flux Kontext I2I training script error: --instance_prompt is required in both reports." + "reason": "Same Flux Kontext issue: the script requires --instance_prompt in both reports." }, { "left": "issue:11435", "right": "issue:3787", "accept": false, - "reason": "Different import problems: a missing pipeline export vs partially initialized-module import failure." + "reason": "Both are import errors, but they reference different modules/symbols and different root causes." }, { "left": "issue:4615", - "right": "issue:4969", + "right": "issue:8915", "accept": false, - "reason": "Different missing import symbols; only the broad import-error shape is shared." + "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; not the same concrete bug." + "reason": "Different attribute errors on different objects; no evidence of a shared fix." }, { "left": "issue:170", "right": "issue:1842", "accept": true, - "reason": "Both report the same unexpected eta kwarg problem in scheduler stepping; one is the generic form of the other." + "reason": "Same unexpected-eta error in the Stable Diffusion step call." }, { "left": "issue:3569", "right": "issue:3728", "accept": false, - "reason": "Two unrelated new-pipeline requests, not duplicates." + "reason": "Two separate new-pipeline requests, not duplicates." }, { "left": "issue:1709", "right": "issue:8182", "accept": false, - "reason": "Completely different errors: astype on Tensor vs warninging typo on Logger." + "reason": "Unrelated attribute errors on Tensor vs Logger." }, { "left": "issue:384", "right": "issue:6858", "accept": false, - "reason": "Different failures: latent_dist missing vs a string lacking convert during controlnet training." + "reason": "Both mention attribute errors, but the failing objects and contexts are unrelated." }, { "left": "issue:12492", "right": "issue:3816", "accept": false, - "reason": "Related deprecation theme, but different missing transformer classes and separate fixes." + "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 errors in different pipeline code paths." + "reason": "Different missing-method failures in different APIs." }, { "left": "issue:3202", "right": "issue:5054", "accept": false, - "reason": "Both are missing pipeline methods, but on different methods and pipeline classes." + "reason": "Different pipeline attribute gaps; no shared underlying bug." }, { "left": "issue:6086", "right": "issue:6124", "accept": true, - "reason": "Same FP16 gradient unscale regression across LoRA training examples/notebooks." + "reason": "Same FP16 gradient-unscale error across LoRA training examples; plausibly one fix covers both." }, { "left": "issue:3015", "right": "issue:672", "accept": false, - "reason": "Different conversion tasks: ControlNet format conversion vs generic diffusers ckpt conversion." + "reason": "Related conversion topics, but one is ControlNet-specific and the other is a broader ckpt conversion request." } ] }, "evaluator_result": { "accept": true, - "feedback": "The analysis is grounded in the packet and the accepted soft pairs are conservative: each accepted pair shares the same core failure mode in the titles (FP16 unscale, `--instance_prompt`, or `eta` kwarg) with only entrypoint/variant differences. The rejected pairs also stay appropriately cautious about superficially similar but distinct errors. Canonical issue 6442 is a reasonable generic representative of the FP16 unscale family." + "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, @@ -3031,10 +2965,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10062", "issue:10180", @@ -3116,12 +3050,12 @@ ], "prepared_review_unit_hash": "095f40d9ea6986d0cd036195504f536c04230a5e954a0907ebe4607637b15e79", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -3136,186 +3070,171 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is mostly heterogeneous: many items share surface-level symptoms like import errors, device mismatches, or missing attributes, but they describe different code paths, models, or APIs. I found no pair that is clearly the same underlying bug/change, so all soft edges are rejected.", - "confidence": 0.9, - "canonical_issue_reason": "issue:2947 is the closest anchor to a recurring LoRA/UNet attribute-error family and is the most concrete, code-path-specific report among the closest-looking items.", + "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": "issue:2947 is the best representative issue because it names a specific missing method on a specific model class, making it the most actionable and least generic candidate in this mixed cluster.", + "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 reference different missing pipeline classes and likely different export paths." + "reason": "Both are import errors, but they fail on different missing symbols in different modules." }, { "left": "issue:1991", "right": "issue:5897", "accept": false, - "reason": "Same broad device-mismatch symptom, but one is checkpoint-merger and the other is LoRA training; different code paths." + "reason": "Both mention device mismatches, but they involve different workflows and likely different root causes." }, { "left": "issue:5025", "right": "issue:9645", "accept": false, - "reason": "Both are import errors from diffusers, but for different symbols in different modules." + "reason": "Different missing exports from different namespaces; no shared concrete fix." }, { "left": "issue:6098", "right": "issue:9628", "accept": false, - "reason": "Both mention FP16 unscale errors, but they occur in different training scripts and likely stem from different setups." + "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 wrapper types; not the same underlying bug." + "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 load failures, but for different assets and model repos." + "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 FP16 gradient symptom, but the reports target different scripts and contexts." + "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 behavior, but one is ControlNet inpaint and the other is SDXL image-encoder handling after Kolors; not the same fix." + "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": "Both are import errors, but they involve unrelated missing names." + "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 one is NPU edit flow and the other is Flux inference on CUDA/CPU; distinct code paths." + "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 from different functions and features." + "reason": "Both are unexpected keyword errors, but in different helper functions and code paths." }, { "left": "issue:5246", "right": "issue:8307", "accept": false, - "reason": "Both are missing attribute/class reports, but they concern different symbols and subsystems." + "reason": "Different missing attributes on the diffusers module; not the same issue." }, { "left": "issue:1249", "right": "issue:4557", "accept": false, - "reason": "Different failure modes: ndarray device access in OnnxPipeline versus super().__getattr__ behavior." + "reason": "Completely different failures: ndarray `.device` versus `super().__getattr__`." }, { "left": "issue:3638", "right": "issue:3728", "accept": false, - "reason": "Both are new pipeline requests, not the same model or change." + "reason": "Both are new-pipeline proposals, but for different models and different changes." }, { "left": "issue:6842", "right": "issue:9645", "accept": false, - "reason": "Both are import errors, but for different pipeline/loaders and different missing names." + "reason": "Different missing pipeline/import symbols; same package, not the same fix." }, { "left": "issue:10180", "right": "issue:10512", "accept": false, - "reason": "Both mention Flux LoRA loading, but one is multiple LoRAs with Control LoRA and the other is Quanto Flux LoRA loading; not clearly mergeable." + "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": "Both are attribute errors, but one is scheduler velocity support and the other is config scaling_factor; unrelated." + "reason": "Different missing attributes on different components." }, { "left": "issue:10062", "right": "issue:2947", "accept": false, - "reason": "Related LoRA/UNet area, but different missing attributes and likely different API regressions." + "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 missing versus UNet attn processor loading are separate bugs." + "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 error is unrelated to UNet LoRA attribute handling." + "reason": "`NoneType.replace` is unrelated to UNet attention-processor loading." }, { "left": "issue:4265", "right": "issue:4615", "accept": false, - "reason": "Both are import errors, but they refer to different ControlNet pipeline classes." - }, - { - "left": "issue:13015", - "right": "issue:7891", - "accept": false, - "reason": "Both are device mismatches, but they are on different hardware/runtime paths and not the same bug." - }, - { - "left": "issue:3040", - "right": "issue:3211", - "accept": false, - "reason": "Different attribute failures caused by different object types and missing properties." - }, - { - "left": "issue:2947", - "right": "issue:409", - "accept": false, - "reason": "Different missing methods on different pipeline/model classes; only a superficial attribute-error similarity." + "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 underlying issues despite both involving attribute access on model wrappers." + "reason": "Different attribute errors on different object types; no shared code path." }, { "left": "issue:11978", "right": "issue:9873", "accept": false, - "reason": "Both are model/pipeline additions, but for different models and feature requests." + "reason": "Different pipeline feature requests for different models." }, { "left": "issue:2947", "right": "issue:3202", "accept": false, - "reason": "UNet LoRA loading bug versus ControlNet VAE tiling attribute; unrelated." + "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": "Both are attribute errors, but the missing members and object types are unrelated." + "reason": "Different attribute errors in different module types; not the same bug." } ] }, - "evaluator_result": null, - "evaluator_used": false, - "retried": false, + "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 @@ -3328,10 +3247,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10472", @@ -3411,12 +3330,12 @@ ], "prepared_review_unit_hash": "12a59477cb507f962dabf77c3435a9c97764dc5c891bd90cf48261590398c71b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -3431,174 +3350,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is a mixed bag of mostly unrelated issue reports; there is no single cluster-wide duplicate. The only clear soft duplicate is the FP16 unscale error pair, while the rest share only broad subsystem or error-category similarity.", - "confidence": 0.69, - "canonical_issue_reason": "Issue 6098 is the cleanest representative of the exact FP16 unscale bug; it has the generic error title and matches the later training-script report 9973 most closely.", + "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": "6098 is the strongest global issue anchor because its title is the most general form of a repeated concrete failure mode seen elsewhere in the set.", + "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 runtime failures, but they point to different code paths and different error messages; too broad to be the same bug." + "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": "These are unrelated attribute errors on different objects; the shared wording is only superficial." + "reason": "Different missing-attribute errors on different objects; only superficial similarity." }, { "left": "issue:11417", "right": "issue:4868", "accept": false, - "reason": "Both involve AttributeError, but the missing attributes and affected objects differ, so they are not the same underlying defect." + "reason": "Unrelated attribute errors in different code paths." }, { "left": "issue:6176", "right": "issue:6382", "accept": false, - "reason": "One is about loading LoRA weights after DreamBooth training; the other is an IP-Adapter key error during later SDXL usage. Different failures." + "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": "AudioLDM2 cache-position missing in GPT2Model is unrelated to AudioLDM pipeline scheduler initialization failure." + "reason": "Different AudioLDM-related failures with different missing attributes and root causes." }, { "left": "issue:9278", "right": "issue:9790", - "accept": false, - "reason": "Same model/task and both mention multigpu, but the reports are too generic to prove the same concrete bug without a shared failure signature." + "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 refer to different missing symbols and different compatibility breaks." + "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": "A bool __module__ AttributeError is unrelated to OnnxRuntimeModel missing config; they do not share the same code path." + "reason": "Different attribute errors on different types; not the same bug." }, { "left": "issue:409", "right": "issue:858", "accept": false, - "reason": "These are generic attribute/parameter object errors in different parts of the library; not the same bug." + "reason": "These failures are unrelated and arise from different objects and APIs." }, { "left": "issue:6363", "right": "issue:6442", - "accept": false, - "reason": "They share the exact FP16 gradient error phrase, but without bodies/diffs there is no proof they are the same report; still, they look like closely related duplicates rather than one exact soft edge pair." + "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": "OnnxPipeline numpy device handling and StableDiffusionXL final_offload_hook are different missing-attribute issues." + "reason": "Different pipeline attribute failures with no shared concrete code path." }, { "left": "issue:10472", "right": "issue:1817", "accept": false, - "reason": "Unexpected lora_bias kwarg and unexpected num_cycles kwarg are separate API mismatch problems." + "reason": "Both are TypeErrors, but they concern different unexpected arguments and different workflows." }, { "left": "issue:2669", "right": "issue:5572", "accept": false, - "reason": "Both are NoneType/FrozenDict attribute errors, but on different attributes and different pipeline internals." + "reason": "Different AttributeErrors with different failing objects and causes." }, { "left": "issue:10010", "right": "issue:6811", "accept": false, - "reason": "Both mention Hugging Face model resolution failures, but they are different models and different missing files." + "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 DistributedDataParallel, but one is a dtype attribute problem and the other is disable_adapters; different failures." + "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": "Different object types and different missing attributes; not the same underlying issue." + "reason": "Completely different attribute errors; not duplicates." }, { "left": "issue:11214", "right": "issue:5522", "accept": false, - "reason": "These are both API/signature mismatches, but they affect different methods and different model classes." + "reason": "Different TypeErrors from different APIs and subsystems." }, { "left": "issue:6098", "right": "issue:9973", "accept": true, - "reason": "Same concrete FP16 unscale gradient error in training, with 9973 clearly re-reporting the same failure in a specific script." + "reason": "Exact same FP16 gradient unscale failure; duplicate training error report." }, { "left": "issue:1249", "right": "issue:8463", "accept": false, - "reason": "OnnxPipeline device access and InstructP2P tokenization failure are unrelated." + "reason": "Different runtime failures in different pipelines; no shared concrete bug." }, { "left": "issue:2098", "right": "issue:3008", - "accept": false, - "reason": "Both mention torch.randn, but the contexts are different community pipelines and the failure signatures are not the same." + "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": "Both are import errors, but they involve different exported names and different compatibility breaks." + "reason": "Different import errors involving different symbols; not the same bug." }, { "left": "issue:11865", "right": "issue:2947", "accept": false, - "reason": "CosmosTransformer3DModel missing from_single_file is unrelated to UNet2DConditionModel missing load_attn_procs." + "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": false, - "reason": "These are the same FP16-gradient family, but the pair is only a near-duplicate on title wording, not a clearly separate same-change report." + "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": "Both are pipeline attribute errors, but they concern different attributes and different pipeline versions/features." + "reason": "Different missing-attribute failures on different pipeline classes." }, { "left": "issue:7228", "right": "issue:7593", "accept": false, - "reason": "Tracing-related dtype missing and IP-Adapter embed preparation failure are different code paths." + "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 mixed-precision type mismatches, but one is an inference bias/input mismatch and the other is a validation-time FLUX dreambooth issue." + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and likely different code paths." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet, and the soft-edge verdicts stay conservative. The only clearly supported duplicate-like pair is 6098/9973, and the rest are correctly treated as broad-similarity but not same-bug matches. The canonical/best anchors are also reasonable. One minor nuance: 6086/6098 looks very close, but rejecting it is still defensible given the conservative bar." + "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, @@ -3614,10 +3533,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11218", "issue:11435", @@ -3699,12 +3618,12 @@ ], "prepared_review_unit_hash": "fcb9b3e8dc5f6c5005491f093528b68cefd94f2670fdde432bd199b40a5813e2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -3914,10 +3833,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11865", "issue:12126", @@ -4002,12 +3921,12 @@ ], "prepared_review_unit_hash": "5f1b445255407c2ce8e2a3cc917ae04c41b863a9a9faa09a8a0519d3ca21a06e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -4226,10 +4145,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10180", @@ -4313,12 +4232,12 @@ ], "prepared_review_unit_hash": "f60bf3fd5d4786bdce866babc7115723d1e67cdcdf738f20cc85ace54a5ba534", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -4534,10 +4453,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10722", "issue:11117", @@ -4617,12 +4536,12 @@ ], "prepared_review_unit_hash": "74f3f67064eed847ecf9def9f7fda1519d271344509796da2856c29f1e12883e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -4817,7 +4736,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10180", @@ -4897,14 +4816,14 @@ "issue:3279|issue:5757", "issue:2947|issue:6044" ], - "prepared_review_unit_hash": "f0933e672756b31ceb74228bea250a6e2be7738d86f046e907eaf5a108fb9324", + "prepared_review_unit_hash": "7f40a94b37c2715112e66bf1b0d0d27fffcf6a9b315a9e0575c4bc93b2609656", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -4919,180 +4838,180 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a heterogeneous set of unrelated diffusers issues, with a few clear duplicate-style pairs around the same error and script path. Most soft matches are false positives across different models, components, or feature requests.", - "confidence": 0.69, - "canonical_issue_reason": "issue:6098 is the best canonical issue: it states the core FP16 unscale failure in a generic form and has an exact duplicate in issue:10752; the rest of the cluster is too mixed to support one global canonical beyond that subcluster.", + "summary": "This cluster is mostly a loose mix of diffusers issues around imports, training, and Flux/IP-Adapter loading; only a few pairs are clear duplicates, chiefly the ControlNet mixed-precision and textual-inversion/from_single_file reports.", + "confidence": 0.68, + "canonical_issue_reason": "Issue 2908 is the best canonical anchor because it is a concrete, script-specific bug report and has a near-identical duplicate in 2991.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6098 is the strongest representative issue because it captures the clearest exact-duplicate error pair and uses the broadest symptom wording.", + "best_issue_reason": "Issue 2908 is the most actionable issue in the cluster: it names the exact example script and failure mode, making it the strongest duplicate target among the accepted pairs.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:10963", "right": "issue:1255", "accept": false, - "reason": "Both are import errors, but they are for different exported symbols and do not indicate the same underlying bug." + "reason": "Both are import errors, but they concern different missing symbols and different code paths." }, { "left": "issue:10963", "right": "issue:4969", "accept": false, - "reason": "Different missing imports from different modules; same general symptom, not the same defect." + "reason": "Different missing imports (`AutoencoderKLWan` vs `CrossAttention`), so not the same bug." }, { "left": "issue:2908", "right": "issue:2991", "accept": true, - "reason": "Same ControlNet mixed-precision training failure in the same example path; the titles describe the same underlying bug." + "reason": "Both report ControlNet PyTorch training/example mixed-precision failures in the same training script family." }, { "left": "issue:13124", "right": "issue:2780", - "accept": true, - "reason": "Same FP16 unscale error in LoRA training; only the training script variant differs." + "accept": false, + "reason": "Same error phrase, but different training scripts and no clear evidence of the same underlying fix." }, { "left": "issue:10026", "right": "issue:9630", "accept": false, - "reason": "Both involve flux-controlnet and multi-GPU settings, but one is a memory complaint and the other is a single-GPU configuration error." + "reason": "Both involve Flux ControlNet multi-GPU/single-GPU setups, but one is about memory scaling and the other a specific configuration error." }, { "left": "issue:6112", "right": "issue:7221", "accept": false, - "reason": "Same broad symptom of noisy output, but the models and likely root causes differ." + "reason": "Both describe noisy outputs, but they are different models and likely different inference/setup issues." }, { "left": "issue:4754", "right": "issue:579", "accept": false, - "reason": "Both are textual inversion loading issues, but they fail on different missing files and are not clearly the same bug." + "reason": "Both are textual inversion loading problems, but the missing file and failure mode differ." }, { "left": "issue:8482", "right": "issue:8615", "accept": false, - "reason": "These are separate feature requests for different SD3 capabilities, not one change." + "reason": "These are different feature requests for Stable Diffusion 3, not the same change." }, { "left": "issue:2294", "right": "issue:3140", "accept": false, - "reason": "Different pipeline import failures for different classes; too broad to be the same bug." + "reason": "Different missing pipeline imports (`VideoInpaint` vs `ControlNet`) with no shared concrete bug." }, { "left": "issue:12826", "right": "issue:4969", "accept": false, - "reason": "Different import/export symbols and different code paths." + "reason": "Different missing imports (`export_to_video` vs `CrossAttention`)." }, { "left": "issue:11199", "right": "issue:7681", "accept": false, - "reason": "Both are import-time failures, but the reported failing modules and root causes are different." + "reason": "Both are import/runtime failures, but one is on `onnx_utils` and the other is an OpenSSL/`lib` dependency error." }, { "left": "issue:11283", "right": "issue:11827", "accept": false, - "reason": "Both mention safetensors header errors, but they appear to be model-specific load failures rather than the same underlying defect." + "reason": "Both mention safetensors header deserialization, but they are on different model families and likely different file/data issues." }, { "left": "issue:12826", "right": "issue:5025", "accept": false, - "reason": "Different missing symbols in different utility modules." + "reason": "Different import symbols and unrelated code paths." }, { "left": "issue:3569", "right": "issue:3638", "accept": false, - "reason": "Both are new pipeline proposals, but for different models and different functionality." + "reason": "These are separate new-pipeline feature requests for different models." }, { "left": "issue:10848", "right": "issue:11581", "accept": false, - "reason": "Both are IP-Adapter loading errors, but the failing keyword argument and affected constructor differ." + "reason": "Both concern IP-Adapter loading in FLUX, but the reported constructor kwarg errors differ (`device` vs `dtype`)." }, { "left": "issue:10180", "right": "issue:10989", "accept": false, - "reason": "Both involve Flux Control LoRA, but one is about multiple LoRAs and the other about quantized transformers; different bugs." + "reason": "Both are Flux Control LoRA issues, but one is about multiple LoRAs and the other about quantized transformers." }, { "left": "issue:1444", "right": "issue:4969", "accept": false, - "reason": "Different import symbols with no evidence of the same failure mode." + "reason": "Different import failures for different classes." }, { "left": "issue:1538", "right": "issue:1611", "accept": false, - "reason": "Same pipeline family, but different model checkpoints and no clear proof of one shared defect." + "reason": "Same pipeline name, but different base models and likely different compatibility regressions." }, { "left": "issue:2984", "right": "issue:7223", "accept": false, - "reason": "Both are video-generation research/pipeline requests, but they are distinct model introductions." + "reason": "One is a research paper/model request and the other is a new pipeline request; not duplicates." }, { "left": "issue:4063", "right": "issue:4069", "accept": true, - "reason": "Same textual inversion unloading bug; the titles differ only in wording and scope." + "reason": "Near-identical textual inversion unload issues; same underlying pipeline cleanup behavior." }, { "left": "issue:4052", "right": "issue:4118", "accept": true, - "reason": "Same from_single_file attribute failure; 4118 just names the specific class involved." + "reason": "Both are the same from_single_file regression around `AutoencoderKL`, with one being the class-specific variant of the other." }, { "left": "issue:9527", "right": "issue:9911", "accept": false, - "reason": "Different controlnet/flux dtype and multi-controlnet layer-length issues; not the same bug." + "reason": "Both are dtype/controlnet-related errors, but the scenarios are different: mixed precision mismatch vs multiple ControlNet layer lengths." }, { "left": "issue:10752", "right": "issue:6098", - "accept": true, - "reason": "Exact same FP16 gradients unscale error; these are duplicates." + "accept": false, + "reason": "The error text is similar, but there is no evidence they arise from the same training code path or fix." }, { "left": "issue:4052", "right": "issue:8320", "accept": false, - "reason": "Both are from_single_file-related, but the failure signatures differ enough that they are not clearly the same bug." + "reason": "Same feature area, but `from_single_file` with `__name__` is a distinct error manifestation and likely a different regression." }, { "left": "issue:6044", "right": "issue:6734", "accept": false, - "reason": "Different attribute errors in different runtime contexts." + "reason": "Different failures: missing `do_classifier_free_guidance` vs tokenizer being `None`." }, { "left": "issue:3279", "right": "issue:5757", - "accept": true, - "reason": "Same dreambooth LoRA resume-from-checkpoint problem across the base and SDXL scripts." + "accept": false, + "reason": "Both are resume-from-checkpoint problems, but they affect different scripts/models and are not clearly the same bug." }, { "left": "issue:2947", "right": "issue:6044", "accept": false, - "reason": "Different attribute/method errors in unrelated pipeline/model code paths." + "reason": "Different missing attributes on different pipeline classes; not the same underlying issue." } ] }, "evaluator_result": { "accept": true, - "feedback": "The analysis is generally grounded in the packet and stays conservative on the ambiguous pairs. The duplicate-style links it accepts are plausible from the titles and error strings, and the many rejected matches are appropriately cautious. The canonical choice around issue:6098 is also supported by the explicit duplicate pairing with issue:10752 and by the broad FP16-unscale wording." + "feedback": "The summary is grounded in the packet and the soft-edge decisions are appropriately conservative. The accepted duplicate pairs are all reasonably supported by the titles/body descriptions, and the rejected pairs avoid overstating similarity where the bug paths differ. Canonicalizing around issue 2908 is defensible given the script-specific ControlNet mixed-precision report and its close match with 2991." }, "evaluator_used": true, "retried": false, @@ -5111,7 +5030,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10066", "issue:10591", @@ -5189,14 +5108,14 @@ "issue:1260|issue:2294", "issue:1572|issue:3420" ], - "prepared_review_unit_hash": "f471eaa66af2db1d5ccd57fdba6b8c37a4610db57ac4ba88c5c70f95957e3c3f", + "prepared_review_unit_hash": "cfc781f3b34e6c28466d63d9db766ad180309eca3ec31a5f8083fe671b4ffb53", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -5211,174 +5130,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "A few tight duplicate clusters emerge, mainly around FP16 gradient unscale failures, import/export errors, and one device_map TypeError. Most other pairs are only broadly similar and should stay separate.", - "confidence": 0.68, - "canonical_issue_reason": "Best canonical issue is the generic FP16-gradient failure report: it is the broadest title and closest match to multiple script-specific variants in this set.", - "canonical_pr_reason": "No pull requests are present in the provided items.", - "best_issue_reason": "Issue 6454 is the strongest representative for the recurring \"Attempting to unscale FP16 gradients\" bug because its title is generic and it aligns with multiple related training-script reports.", - "best_pr_reason": "No pull requests are present in the provided items.", + "summary": "A small set of true duplicates is present around FP16-unscale and import-signature regressions; most other pairs are only loosely similar symptoms across different models, scripts, or pipelines and should remain separate.", + "confidence": 0.74, + "canonical_issue_reason": "Issue #6454 is the broadest, most generic report of the recurring \"Attempting to unscale FP16 gradients\" failure, so it best represents the duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #6454 is the best representative because it states the core error cleanly without tying it to one narrow script-specific trigger.", + "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:4619", "right": "issue:6879", "accept": false, - "reason": "Both are dtype-related training errors, but they describe different failure modes and code paths." + "reason": "Both are dtype-mismatch runtime errors, but they affect different training paths (SDXL LoRA vs Custom Diffusion) and are not clearly the same bug." }, { "left": "issue:12047", "right": "issue:12147", "accept": false, - "reason": "Same Wan2.2 area, but one is LoRA fusion and the other is LoRA loading; not the same concrete bug." + "reason": "Both mention Wan2.2 LoRA problems, but one is fusion and the other loading; different code paths and not clearly one concrete defect." }, { "left": "issue:12097", "right": "issue:13258", "accept": false, - "reason": "VRAM OOM vs missing image-to-video support are different issues." + "reason": "One is VRAM OOM, the other is a missing Image-to-Video model; these are different problems." }, { "left": "issue:1478", "right": "issue:4542", "accept": false, - "reason": "Similar multi-image symptom, but different pipelines and likely different fixes." + "reason": "Both are multi-image output limitations, but they hit different pipeline classes and are not clearly the same underlying defect." }, { "left": "issue:8975", "right": "issue:9062", "accept": false, - "reason": "Different missing exports: LoraLoaderMixin vs StableAudioPipeline." + "reason": "Both are import errors, but they involve different symbols and unrelated modules." }, { "left": "issue:11014", "right": "issue:4872", "accept": false, - "reason": "Both are OOM reports, but from different hardware/setup contexts and not clearly the same bug." + "reason": "Both are OOM reports, but one is generic high-RAM A100 training and the other is SDXL T4 finetuning; too broad to treat as one bug." }, { "left": "issue:3884", "right": "issue:5897", "accept": false, - "reason": "Different training failures: one generic script error, one device-placement mismatch." + "reason": "Same script family, but the titles do not identify the same concrete failure; #5897 is a device mismatch while #3884 is generic." }, { "left": "issue:10752", "right": "issue:2780", "accept": true, - "reason": "Same underlying FP16 gradient unscale failure in LoRA training scripts." + "reason": "Same FP16-gradient unscale ValueError in LoRA training; #2780 is the exact script-specific report of the same bug." }, { "left": "issue:13124", "right": "issue:6454", - "accept": true, - "reason": "Both report the same \"Attempting to unscale FP16 gradients\" error; 13124 is a script-specific variant." + "accept": false, + "reason": "Both mention the FP16-unscale error, but one is DreamBooth LoRA with a validation_prompt trigger and the other is a broader/general report; not clearly one concrete code path." }, { "left": "issue:1842", "right": "issue:859", "accept": false, - "reason": "Unexpected kwarg errors, but for different arguments (`eta` vs `device_map`)." + "reason": "Both are unexpected-kwarg TypeErrors, but the kwargs differ (eta vs device_map) and point to different incompatibilities." }, { "left": "issue:1100", "right": "issue:7210", "accept": false, - "reason": "Different attribute errors affecting different objects and code paths." + "reason": "Different attribute errors in different wrappers/paths; not the same bug." }, { "left": "issue:852", "right": "issue:859", "accept": true, - "reason": "Same device_map unexpected-kwarg TypeError; one report is MPS-specific, the other generic." + "reason": "Both report the same device_map unexpected-keyword regression in initialization; same underlying API mismatch." }, { "left": "issue:1263", "right": "issue:1444", "accept": true, - "reason": "Same missing StableDiffusionSafetyChecker import." + "reason": "These are the same missing StableDiffusionSafetyChecker import error, phrased slightly differently." }, { "left": "issue:7133", "right": "issue:9841", "accept": false, - "reason": "Both are DreamBooth LoRA issues, but the reported failures are different." + "reason": "Different DreamBooth SDXL LoRA problems: checkpoint resume size mismatch vs use_dora TypeError." }, { "left": "issue:4483", "right": "issue:4724", "accept": false, - "reason": "Different SDXL pipeline bugs: nondeterminism vs multi-image output handling." + "reason": "Both involve SDXL pipelines, but the reported bugs are different (determinism vs checkpoint/pipeline behavior)." }, { "left": "issue:1255", "right": "issue:13087", "accept": false, - "reason": "Different missing symbols from diffusers exports." + "reason": "Both are missing-import errors, but they are different symbols and unrelated fixes." }, { "left": "issue:10066", "right": "issue:11410", "accept": false, - "reason": "Both are unpacking errors in attention code, but the arity and reported context differ enough to treat separately." + "reason": "Both are attention-related unpacking errors, but the expected arity and failing call sites differ, so they are not clearly the same bug." }, { "left": "issue:1082", "right": "issue:1946", "accept": false, - "reason": "Both are CUDA failures, but not the same concrete bug." + "reason": "Different low-level CUDA failures in different contexts; too generic to merge." }, { "left": "issue:1260", "right": "issue:9062", "accept": false, - "reason": "Different missing imports with no shared concrete failure." + "reason": "Different missing import symbols; not the same issue." }, { "left": "issue:10591", "right": "issue:8534", "accept": false, - "reason": "Both involve SD3 training, but the reported problems are different." + "reason": "Both are SD3 training-script complaints, but they describe different problems in different scripts." }, { "left": "issue:2044", "right": "issue:2132", "accept": false, - "reason": "Different attribute errors on different wrapper objects." + "reason": "Different attribute errors on different objects; unrelated failures." }, { "left": "issue:13124", "right": "issue:6363", - "accept": true, - "reason": "Same FP16 gradient unscale error in the LoRA training scripts." + "accept": false, + "reason": "Same broad error family, but the scripts and trigger differ; not enough evidence of one identical underlying bug." }, { "left": "issue:4872", "right": "issue:6697", "accept": false, - "reason": "Both are OOM reports, but not the same specific failure or trigger." + "reason": "Both are OOMs in SDXL finetuning, but the reports are too general and context-specific to be the same concrete bug." }, { "left": "issue:3728", "right": "issue:8414", "accept": false, - "reason": "Completely different model/pipeline requests." + "reason": "Completely different model domains and feature requests; not duplicates." }, { "left": "issue:1260", "right": "issue:2294", "accept": false, - "reason": "Different missing import symbols." + "reason": "Both are import errors, but they concern different pipeline classes and different missing names." }, { "left": "issue:1572", "right": "issue:3420", "accept": false, - "reason": "Different pipeline incompatibility bugs in different components." + "reason": "Both mention pipeline incompatibilities, but the affected pipelines and failure modes differ." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: it correctly centers the FP16-gradient issues around 6454/6363/10752/13124 and notes no pull requests are present. The soft-edge calls are generally conservative, with the accepted pairs limited to near-identical titles or clearly the same error class, and the rejected pairs staying cautious where the titles only overlap broadly." + "feedback": "The cluster summary is grounded in the packet, and the soft-edge decisions are conservative overall. The accepted pairs are well-supported duplicates (same FP16-unscale error, same device_map init regression, same SafetyChecker import error), while the rejections stay cautious where the packet only shows shared symptoms or related but distinct code paths. The chosen canonical issue #6454 is also a reasonable generic representative of the FP16-unscale cluster." }, "evaluator_used": true, "retried": false, @@ -5397,7 +5316,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10066", "issue:10453", @@ -5474,14 +5393,14 @@ "issue:4615|issue:9062", "issue:1946|issue:3382" ], - "prepared_review_unit_hash": "33cd8edc48ffdf296c23866604592fab6daa0ae0e53bef7b984e7069df290081", + "prepared_review_unit_hash": "e303f34fa6daec21415633e668d593403af0ddc737a420d74d37847688d7dec0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -5496,171 +5415,171 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The packet is mostly unrelated reports, but it is not accurate to say there is only one duplicate pair. The strongest duplicate-looking pair in the provided soft edges is the custom `text_encoder` loading bug in `StableDiffusionPipeline.from_single_file` (4446/4911), and there is also a separate near-identical import-error pair in the packet itself (`DPMSolverMultistepScheduler`: 1255/1260).", - "confidence": 0.89, - "canonical_issue_reason": "Issue 4911 is the clearest anchor for the `from_single_file` custom `text_encoder` failure because it states the symptom more directly, while 4446 is the broader earlier report.", + "summary": "This set is mostly a loose lexical cluster, not one coherent duplicate group. I found only two true duplicate pairs; the rest are related only at a broad subsystem or symptom level and should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits the whole cluster: most items are unrelated import errors, training bugs, pipeline limitations, or feature requests. If forced to anchor the only exact duplicate pair, issue 1255 is the cleanest representative of that narrow import-error duplicate.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 4911 is the strongest representative for the text_encoder-loading bug cluster; it is specific, concrete, and closely matches its duplicate counterpart.", + "best_issue_reason": "Issue 1255 is the strongest issue candidate for a canonical anchor because it is a clear, specific import-error report with a near-verbatim duplicate (1260). It is still not a good representative of the full set, which is too heterogeneous.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:10963", "right": "issue:4615", "accept": false, - "reason": "Both are import errors, but they involve different missing symbols and different code paths." + "reason": "Both are import errors from diffusers, but they concern different missing symbols ('AutoencoderKLWan' vs 'StableDiffusionControlnetPipeline') and likely different code paths." }, { "left": "issue:246", "right": "issue:409", "accept": false, - "reason": "Different missing APIs on different objects; same broad dependency mismatch, not the same defect." + "reason": "Both mention missing transformers-era APIs, but the actual failures are unrelated attributes ('FeatureExtractionMixin' vs 'enable_attention_slicing')." }, { "left": "issue:10963", "right": "issue:1263", "accept": false, - "reason": "Both are import failures, but for different symbols and pipelines." + "reason": "Same broad theme of missing imports, but different classes/modules and no evidence of the same underlying bug." }, { "left": "issue:10066", "right": "issue:7049", "accept": false, - "reason": "Both mention unpacking errors, but the failing code paths and expected tuple sizes differ." + "reason": "Both are unpacking errors, but the expected tuple arity differs and the contexts are different enough to suggest separate bugs." }, { "left": "issue:1255", "right": "issue:6636", "accept": false, - "reason": "Different missing-import symbols; similar symptom, not the same underlying issue." + "reason": "Both are import-related, but one is a scheduler symbol and the other is a utils constant; not the same underlying issue." }, { "left": "issue:7766", "right": "issue:8817", "accept": false, - "reason": "Same feature area, but one is a usage question and the other is a vague failure report; too underspecified to merge." + "reason": "Both concern IP-Adapter FaceID usage, but one is a how-to/question thread and the other is a concrete failure report; too little evidence they share one bug." }, { "left": "issue:3812", "right": "issue:6435", "accept": false, - "reason": "ControlNet-related, but one is a config warning and the other is default-dimension initialization; not the same bug." + "reason": "Both are default/config initialization problems, but they refer to different fields and different models." }, { "left": "issue:12096", "right": "issue:12141", "accept": false, - "reason": "Same pipeline family, but different failures: group offloading versus bf16/fp16 VAE handling." + "reason": "Both are WanVACEPipeline complaints, but one is about group offloading and the other is about bf16/fp16 VAE handling; different failures." }, { "left": "issue:10453", "right": "issue:9051", "accept": false, - "reason": "Both concern batching, but they affect different pipelines and likely different limitations." + "reason": "Both are batch-size limitations, but they are for different pipelines/models and do not look like one concrete bug." }, { "left": "issue:1260", "right": "issue:4615", "accept": false, - "reason": "Different missing imports; same broad import surface, not the same defect." + "reason": "Both are import errors, but for different public classes; not the same missing-export bug." }, { "left": "issue:4446", "right": "issue:4911", "accept": true, - "reason": "These describe the same `StableDiffusionPipeline.from_single_file` custom `text_encoder` loading problem with near-identical repro." + "reason": "Same StableDiffusionPipeline.from_single_file custom text_encoder loading failure, described with nearly identical wording." }, { "left": "issue:7940", "right": "issue:9396", "accept": false, - "reason": "Both are Korean translation issues, but they appear to be separate documentation tasks rather than one bug/change." + "reason": "Both are Korean translation tracking issues, not the same bug or change request." }, { "left": "issue:12492", "right": "issue:7516", "accept": false, - "reason": "Different missing attributes from different packages and models." + "reason": "Different missing attributes in different objects/modules; same general API-version theme, but not the same bug." }, { "left": "issue:1976", "right": "issue:2296", "accept": false, - "reason": "Unrelated failures: tokenizer file lookup versus xformers attention on T4." + "reason": "One is a bad file lookup during loading, the other is xformers behavior on T4; unrelated root causes." }, { "left": "issue:5016", "right": "issue:6894", "accept": false, - "reason": "Related to SDXL LoRA, but one is training text encoders and the other is A1111 loading compatibility." + "reason": "Both involve LoRA/dreambooth scripts, but one is about SDXL text-encoder training and the other about LoRA compatibility in A1111; not the same fix." }, { "left": "issue:2984", "right": "issue:7333", "accept": false, - "reason": "Completely different video-generation topics; not the same underlying report." + "reason": "Different video-generation research/feature threads with no concrete shared bug or change." }, { "left": "issue:13124", "right": "issue:6482", "accept": false, - "reason": "Same exception string, but different scripts and triggers; not enough evidence of one shared bug." + "reason": "Both mention FP16 unscale errors, but the triggering conditions differ and one is specifically tied to validation prompt handling while the other is resume-from-checkpoint." }, { "left": "issue:4241", "right": "issue:5594", "accept": false, - "reason": "Different concerns: feature request versus memory-usage discussion." + "reason": "Both mention LoRA, but one asks about unidiffusers fine-tuning support and the other is about SDXL memory usage; unrelated." }, { "left": "issue:7041", "right": "issue:9889", "accept": false, - "reason": "Both are segfaults, but the inference conditions and likely causes differ." + "reason": "Both are segfaults, but on different inference setups and with no shared code-path evidence." }, { "left": "issue:10860", "right": "issue:11790", "accept": false, - "reason": "Both are LoRA-loading complaints, but they affect different training scripts and destinations." + "reason": "Both are LoRA weight-loading problems, but one is specific to ComfyUI incompatibility and the other is a generic load failure in a different training script." }, { "left": "issue:2947", "right": "issue:9534", "accept": false, - "reason": "Different missing attributes in different model classes; not a shared code-path bug." + "reason": "Different missing attributes on different model classes; not the same underlying API regression." }, { "left": "issue:1734", "right": "issue:5197", "accept": false, - "reason": "Both are multi-GPU slowdown reports, but they concern different training setups and likely different performance causes." + "reason": "Both concern multi-GPU performance, but they describe different training scripts and one is slowdown while the other is OOM; too broad to merge." }, { "left": "issue:1614", "right": "issue:6446", "accept": false, - "reason": "Different symptoms: blank output versus model loading failure." + "reason": "Different symptoms in stable diffusion loading/inference; one is blank output under autocast, the other is model loading on Colab." }, { "left": "issue:4615", "right": "issue:9062", "accept": false, - "reason": "Both are import errors, but for unrelated pipelines and symbols." + "reason": "Both are missing imports from diffusers, but they are for different pipelines/classes and are not the same export issue." }, { "left": "issue:1946", "right": "issue:3382", "accept": false, - "reason": "Different failure modes: xformers CUDA invalid argument versus multi-GPU OOM." + "reason": "One is an xformers CUDA invalid-argument crash, the other is multi-GPU OOM; different failure modes and fixes." } ] }, "evaluator_result": { - "accept": false, - "feedback": "Reject: the summary overstates uniqueness. The packet contains another near-identical duplicate pair, issue:1255 and issue:1260, both about `DPMSolverMultistepScheduler` import errors from `diffusers`. So saying there is 'only one clearly duplicated bug pair' is not grounded. The 4446/4911 pairing may still be the best canonical anchor for that specific text_encoder bug, but the overall summary should be more conservative about there being only one duplicate pair." + "accept": true, + "feedback": "Grounded overall. The cluster does look heterogeneous, and the two near-duplicate issue pairs you singled out are well supported by the packet: 1255/1260 and 4446/4911. The remaining soft-edge rejections are conservative and do not overclaim equivalence." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -5673,10 +5592,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:10436", @@ -5757,12 +5676,12 @@ ], "prepared_review_unit_hash": "15d5746fc52be98ddaaa0894bd21db42991798336a148bf0d50ed56056135fed", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -5960,10 +5879,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10436", "issue:10722", @@ -6043,12 +5962,12 @@ ], "prepared_review_unit_hash": "35e5abdeab95fc3796c97765b0a133ae52f3c35982bcc3f92e856e6a792e06fb", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -6237,10 +6156,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10472", "issue:10839", @@ -6319,12 +6238,12 @@ ], "prepared_review_unit_hash": "a989c457dab79a77c996acfa09dff927fb61d3be5cb97ab082c4df17536be373", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -6516,10 +6435,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10436", "issue:10453", @@ -6600,12 +6519,12 @@ ], "prepared_review_unit_hash": "1e8114d3be6be3050f2e26cea6d9b8ca93875b84ce65341a25b6a5a1ab0ed90d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -6806,7 +6725,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10928", "issue:11014", @@ -6883,14 +6802,14 @@ "issue:2132|issue:2947", "issue:1263|issue:13087" ], - "prepared_review_unit_hash": "172e67bcd05a9623c05df43c28f093978f205613221c2a91f832817e95a3e707", + "prepared_review_unit_hash": "5f5a308e8a393ad072ba352ce20eca79efc5a411d02f796f68a4c07d5e1c157f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -6905,162 +6824,150 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous and does not form one clean duplicate set. The only strong duplicate family is the recurring DreamBooth/LoRA training failure around \"Attempting to unscale FP16 gradients\" and resume-from-checkpoint behavior; the rest are model-specific import/OOM/mismatch reports that should stay separate.", - "confidence": 0.81, - "canonical_issue_reason": "No single cluster-wide canonical issue: the items span unrelated bugs. The closest coherent subgroup is the repeated FP16 unscale-gradient training failure family.", + "summary": "This cluster is mostly noisy and unrelated. The only strong duplicate subgroup is the recurring \"Attempting to unscale FP16 gradients\" training-script failures; the rest of the soft pairs are not the same underlying bug/change.", + "confidence": 0.64, + "canonical_issue_reason": "issue:7330 is the clearest representative of the recurring FP16 unscale-gradient bug: the title states the exact error and it matches multiple near-duplicate training reports.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 1246 is the best representative anchor for the FP16 unscale-gradient training bug family: it is the earliest and broadest report, and later items like 6482, 7330, and 13124 read like variants of the same failure mode.", + "best_issue_reason": "issue:7330 is the best issue to keep as the representative report for the FP16 gradient-unscale problem because it is specific, explicit, and directly matches the repeated failure signature across scripts.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:4409", "right": "issue:5518", "accept": false, - "reason": "Different AttributeError symptoms in different model components; same broad area, but not the same bug." + "reason": "Both are AttributeErrors, but they involve different missing attributes in different code paths ('alphas_cumprod' vs 'time')." }, { "left": "issue:11014", "right": "issue:6028", "accept": false, - "reason": "Both are OOM reports, but they involve different models and setups, so they are not the same underlying issue." + "reason": "Both mention CUDA OOM, but they are different models/workflows and do not indicate the same bug." }, { "left": "issue:13124", "right": "issue:7330", "accept": true, - "reason": "Both report the same FP16 unscale-gradient training failure in LoRA/DreamBooth example scripts; one just names the validation_prompt trigger." + "reason": "Same concrete failure signature: \"Attempting to unscale FP16 gradients\" in DreamBooth/text-to-image training scripts; the validation_prompt mention looks like a trigger of the same bug." }, { "left": "issue:5857", "right": "issue:6382", "accept": false, - "reason": "AnimateDiff/LCM behavior and IP-Adapter key errors are different downstream problems, not one duplicate bug." + "reason": "Different problems: LCM LoRA/AnimateDiff behavior versus an IP-adapter key error." }, { "left": "issue:12157", "right": "issue:6353", "accept": false, - "reason": "Different model/script failures with different error signatures; no shared code-path evidence." + "reason": "Different failures in different training setups: bnb quantization config iteration error vs SDXL controlnet example failure." }, { "left": "issue:3040", "right": "issue:9901", "accept": false, - "reason": "Both are generic attribute errors, but they arise from different objects and call paths." + "reason": "Unrelated AttributeErrors with different objects and code paths." }, { "left": "issue:3794", "right": "issue:4304", "accept": false, - "reason": "Both are feature requests around LoRA/training, not the same specific bug or change." + "reason": "These are feature requests about LoRA/SDXL support, not the same bug." }, { "left": "issue:12529", "right": "issue:8667", "accept": false, - "reason": "Both mention size mismatches, but the affected models and likely failing paths differ." + "reason": "Both are tensor-shape mismatch reports, but they affect different models/pipelines and likely different shape-handling code." }, { "left": "issue:6427", "right": "issue:7178", "accept": false, - "reason": "Model conversion and video export are unrelated issues." + "reason": "Different functionality entirely: model conversion to .ckpt versus export_to_video." }, { "left": "issue:10928", "right": "issue:9044", "accept": false, - "reason": "Both are missing-model-file errors, but the expected filenames and model directories differ." + "reason": "Both are missing-file OSErrors, but they refer to different filenames and model directories, so they are not clearly the same bug." }, { "left": "issue:11362", "right": "issue:5374", "accept": false, - "reason": "Both are unexpected keyword argument errors, but for different APIs and components." + "reason": "Different unexpected-keyword-argument errors in different classes; no shared concrete code path is evident." }, { "left": "issue:1709", "right": "issue:4073", "accept": false, - "reason": "Both involve astype on Tensor, but they are different pipelines and not clearly the same bug instance." + "reason": "Same symptom class ('astype' on Tensor) but in different pipelines/code paths; not enough to treat as the same bug." }, { "left": "issue:2089", "right": "issue:6697", "accept": false, - "reason": "Both are CUDA OOM reports, but on different training workloads and model families." + "reason": "Both are CUDA OOM reports, but they concern different training setups and models." }, { "left": "issue:1246", "right": "issue:6482", "accept": true, - "reason": "Same FP16 unscale-gradient DreamBooth/LoRA failure; 6482 is a later variant tied to resume_from_checkpoint." + "reason": "Same exact FP16 unscale-gradient error, with the SDXL advanced report describing the same training-time failure under resume_from_checkpoint." }, { "left": "issue:1925", "right": "issue:4086", "accept": false, - "reason": "Half-precision inpainting and SDXL ControlNet training failures are different problems." + "reason": "Different model/pipeline failures: half-precision in SD2 inpainting versus SDXL ControlNet training behavior." }, { "left": "issue:12174", "right": "issue:8182", "accept": false, - "reason": "Completely different AttributeError messages with no shared underlying bug." + "reason": "Unrelated AttributeErrors on different classes ('super' __getattr__ vs Logger.warninging)." }, { "left": "issue:12492", "right": "issue:6955", "accept": false, - "reason": "Different import/object-attribute failures in different libraries." + "reason": "Different import/version compatibility issues involving different symbols and modules." }, { "left": "issue:3279", "right": "issue:4733", - "accept": true, - "reason": "Both are train_dreambooth_lora.py resume-from-checkpoint failures; same script path and same underlying resume bug family." + "accept": false, + "reason": "Both mention checkpoint resume problems, but the reported failures are not the same concrete bug or error signature." }, { "left": "issue:12826", "right": "issue:6636", "accept": false, - "reason": "Different missing-import problems with different symbols." + "reason": "Different import errors for different symbols; not the same issue." }, { "left": "issue:1552", "right": "issue:3420", "accept": false, - "reason": "Different pipelines and different failure modes; not the same bug." + "reason": "Different pipeline/model behavior complaints; no shared bug." }, { "left": "issue:4186", "right": "issue:4483", "accept": false, - "reason": "Inpaint/refiner behavior and generator determinism are unrelated." + "reason": "Different topics entirely: SDXL inpaint/refiner behavior versus generator determinism." }, { "left": "issue:5054", "right": "issue:7784", "accept": false, - "reason": "Different missing-attribute errors on different pipeline classes." - }, - { - "left": "issue:2132", - "right": "issue:2947", - "accept": false, - "reason": "Different missing-attribute failures in unrelated training/model code." - }, - { - "left": "issue:1263", - "right": "issue:13087", - "accept": false, - "reason": "Both are import errors, but for different exported symbols and different release surfaces." + "reason": "Both are missing-attribute pipeline errors, but they affect different pipeline classes and methods." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: it separates a small DreamBooth/LoRA FP16-resume family from the otherwise unrelated import/OOM/mismatch issues. The accepted soft edges stay within that narrow family, and the rejected pairs are conservative rather than overstated." + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted soft pairs are well-supported by the shared exact FP16 unscale-gradient error signature, while the rejections generally avoid over-calling similarity on only generic symptom overlap. No PR-pair issue is present." }, "evaluator_used": true, "retried": false, @@ -7076,10 +6983,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10226", "issue:10839", @@ -7159,12 +7066,12 @@ ], "prepared_review_unit_hash": "8cd08451bcbb6ff7c9c0318d6ffcf2e4b5906fc1f322346ebac87f23e6ffd576", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -7356,10 +7263,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10062", "issue:10154", @@ -7438,12 +7345,12 @@ ], "prepared_review_unit_hash": "b36d41ed75d9e31e7385b0c50d20c313cf8f5c1b4395c34826aff3f12a5e64e1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -7635,10 +7542,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10472", "issue:10594", @@ -7717,12 +7624,12 @@ ], "prepared_review_unit_hash": "18e437a9e1d73e80ccbe37cc0c48d6b38b49cadebe656b60ee4ed49ef4213a22", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -7914,10 +7821,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10062", "issue:1100", @@ -7998,12 +7905,12 @@ ], "prepared_review_unit_hash": "3733e3f243bce438bed9dc5e7a31adc697f994c9840ae64ce19a86038711f6a9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -8018,174 +7925,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Most items are unrelated single-issue reports. The only plausible duplicate pair is the HF_HUB_OFFLINE cache-loading regression, where both issues describe cached/sharded model loading failing in offline mode.", - "confidence": 0.86, - "canonical_issue_reason": "issue:1717 is the broader, more general report of offline cached-model loading failure; issue:11447 looks like a narrower manifestation involving shard file resolution.", + "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 best represents the shared offline-loading bug and is phrased more generally than the shard-specific follow-up.", + "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 from unexpected kwargs, but they involve different arguments (`eta` vs `force_hook`) and likely different call sites/version mismatches." + "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": "These are unrelated research/model-request issues, not the same bug or change." + "reason": "Completely unrelated research/model announcement issues, not duplicates." }, { "left": "issue:10062", "right": "issue:1100", "accept": false, - "reason": "Different attribute errors on different objects (`peft_config` vs `device`) with no clear shared code path." + "reason": "Both mention missing attributes, but the models, attributes, and failure contexts differ." }, { "left": "issue:5509", "right": "issue:7214", "accept": false, - "reason": "One is an image/prompt batch-size validation problem; the other is a scheduler karras-sigmas behavior change. Not the same bug." + "reason": "Different failures: image batch-size validation vs scheduler karras_sigma behavior." }, { "left": "issue:6362", "right": "issue:6536", "accept": false, - "reason": "Both mention OOM, but in different fine-tuning contexts and models; too broad to be the same underlying issue." + "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": "Different missing-attribute errors on different objects and subsystems; no evidence they are the same bug." + "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-attribute errors on pipeline-related classes, but they refer to different attributes and different pipeline features." + "reason": "Both are missing pipeline attrs, but they affect different attributes and different pipeline features." }, { "left": "issue:1249", "right": "issue:9534", "accept": false, - "reason": "These are unrelated attribute errors in different models/pipelines (`numpy.ndarray`/OnnxPipeline vs `FluxMultiControlNetModel`)." + "reason": "Different pipeline/model attribute errors with no clear shared code path." }, { "left": "issue:1709", "right": "issue:9534", "accept": false, - "reason": "An ONNX tensor `astype` issue is not the same as a Flux ControlNet config attribute issue." + "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 release/export issues." + "reason": "Both are import errors, but for different symbols and likely different export gaps." }, { "left": "issue:1249", "right": "issue:7228", "accept": false, - "reason": "Different attribute errors in different loading paths (`astype` in ONNX img2img vs `dtype` on traced StableDiffusionPipeline)." + "reason": "Different missing-attribute failures in different loading/tracing paths." }, { "left": "issue:3382", "right": "issue:6028", "accept": false, - "reason": "Both are OOM reports, but one is a training-script multi-GPU issue and the other is Kandinsky 3.0 generation; too different." + "reason": "Both involve OOM, but in different scripts and models; not the same bug." }, { "left": "issue:11978", "right": "issue:3728", "accept": false, - "reason": "A new pipeline request and a separate model/pipeline request are not duplicates." + "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 image-to-image/inpainting-style behavior, but one is a pipeline compatibility bug and the other is an AutoencodeTiny encoding failure." + "reason": "Both concern img2img-like behavior, but they target different pipelines and symptoms." }, { "left": "issue:1255", "right": "issue:4969", "accept": false, - "reason": "Different missing imports for different names; not enough evidence of one underlying import regression." + "reason": "Separate import failures for different classes; no shared concrete bug." }, { "left": "issue:2234", "right": "issue:8939", "accept": false, - "reason": "Training with xformers and tokenizer loading for SD3 are unrelated." + "reason": "Training/xformers issue vs tokenizer loading issue for a different model release." }, { "left": "issue:4409", "right": "issue:5992", "accept": false, - "reason": "Both mention attribute-related failures, but on different objects and example code paths." + "reason": "Different attribute/error classes in unrelated code paths." }, { "left": "issue:499", "right": "issue:7660", "accept": false, - "reason": "A broken example training script and a broken trace example are not the same issue." + "reason": "Both mention examples, but they are different examples with different failures." }, { "left": "issue:5016", "right": "issue:6154", "accept": false, - "reason": "Both involve SDXL LoRA training, but one is about training text encoders and the other is an M2 Mac-specific inability to run the script; not clearly the same bug." + "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 pipeline attribute errors with different root causes and code paths." + "reason": "Different missing-attribute errors in different pipeline behaviors." }, { "left": "issue:3094", "right": "issue:7114", "accept": false, - "reason": "Both are OOM during training, but they target different scripts/models and do not look like one concrete bug." + "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 versus differing results between two training scripts; not the same defect." + "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 cached model loading failing when HF_HUB_OFFLINE=1; 11447 appears to be a specific shard-resolution manifestation of the broader offline-cache bug in 1717." + "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": "Both mention SDXL LoRA dreambooth scripts, but one is a generic inability to run and the other is a specific FP16 unscale error; not clearly the same bug." + "reason": "Different DreamBooth LoRA training failures with no shared concrete code path." }, { "left": "issue:6382", "right": "issue:9115", "accept": false, - "reason": "These are different feature/composition problems involving IP adapter/LCM training versus AnimateDiff-Lightning and motion adapter usage." + "reason": "Different adapter/model combination errors; not the same bug." }, { "left": "issue:4194", "right": "issue:4667", - "accept": false, - "reason": "Both are from_single_file-related, but one is a VAE issue and the other is a pipeline version/load failure." + "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 on the soft-edge pairs. The only accepted duplicate, issue:11447 vs issue:1717, is well supported by both titles and fits the broader/narrower offline-cache loading regression pattern. No pair is overstated." + "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, @@ -8201,10 +8108,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10029", "issue:10169", @@ -8286,12 +8193,12 @@ ], "prepared_review_unit_hash": "7ff83e33041923527703caf93b96ae2e1b5e100dadf3c46504b58f4e607b5f04", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -8306,180 +8213,180 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous: the titles share a generic error-report shape, but most pairs are not the same underlying bug. The only clear duplicate pair in the provided soft edges is the missing config.json report (10169/4648). No PRs are present.", - "confidence": 0.94, - "canonical_issue_reason": "Issue 4648 is the clearest canonical candidate because it gives the concrete missing-config.json failure that matches 10169.", + "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 standalone representative of the only true duplicate thread in this set; the rest of the issues are unrelated bugs and should not be merged into it.", + "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": "Different unsupported kwargs in different contexts ('checkpoint_path' vs 'device_map'); not the same bug." + "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 crashes/segfaults, but in different pipelines and environments; no concrete shared code-path." + "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": "Unrelated attribute errors in different objects/pipelines; only superficial similarity." + "reason": "Both are AttributeErrors, but on different missing methods in different code paths." }, { "left": "issue:5374", "right": "issue:9962", "accept": false, - "reason": "Both mention unexpected kwargs, but they are different arguments and likely different call sites." + "reason": "Different unexpected keyword arguments; same error shape but not the same underlying defect." }, { "left": "issue:7784", "right": "issue:8320", "accept": false, - "reason": "Both are attribute errors, but on different APIs/objects ('upcast_vae' vs '__name__' on from_single_file conversion); not the same defect." + "reason": "Different missing attributes in unrelated code paths." }, { "left": "issue:4324", "right": "issue:6996", "accept": false, - "reason": "Different None-related failures in different forward paths; not a duplicate." + "reason": "Both are NoneType-related errors, but the failing expressions and contexts are different." }, { "left": "issue:4137", "right": "issue:4255", "accept": false, - "reason": "These are result-quality comparisons, not the same concrete bug." + "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-shape mismatches, but the reported pipelines and failure shapes differ; too broad to merge." + "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": "Both are import errors, but for different missing symbols ('StableDiffusionSafetyChecker' vs 'StableDiffusionControlnetPipeline')." + "reason": "Different missing import symbols; likely separate compatibility issues." }, { "left": "issue:1444", "right": "issue:6842", "accept": false, - "reason": "Import errors for different pipeline symbols; no evidence of the same underlying issue." + "reason": "Different missing imports for different pipeline classes." }, { "left": "issue:12174", "right": "issue:6324", "accept": false, - "reason": "Different attribute/type errors with no shared code path." + "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 VRAM use and the other is FastAPI GPU memory retention; not the same bug." + "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 attribute errors on different objects ('config' on OnnxRuntimeModel vs '__getattr__' on super)." + "reason": "Different missing attributes on different objects and in different pipelines." }, { "left": "issue:3290", "right": "issue:8307", "accept": false, - "reason": "'NoneType' flush error vs missing StableCascadeUNet export; unrelated defects." + "reason": "A file flush NoneType error is unrelated to a missing exported class attribute." }, { "left": "issue:5565", "right": "issue:6967", "accept": false, - "reason": "Separate training-script failures with different model/setup contexts; not a duplicate." + "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": "Missing 'set_lora_layer' vs missing 'set_format' are different API compatibility problems." + "reason": "Both are missing-attribute errors, but on unrelated classes and code paths." }, { "left": "issue:1709", "right": "issue:9111", "accept": false, - "reason": "Tensor.astype error in ONNX img2img vs missing scheduler attribute in BitDiffusion; unrelated." + "reason": "ONNX tensor dtype conversion error versus a missing scheduler attribute; unrelated." }, { "left": "issue:10169", "right": "issue:4648", "accept": true, - "reason": "Same concrete bug: config.json is missing / not found in the model directory, with 4648 providing the explicit file-path error." + "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: Tensor.astype in ONNX pipeline vs missing FeatureExtractionMixin import." + "reason": "Different errors in different components: ONNX tensor conversion versus missing transformer mixin import." }, { "left": "issue:4483", "right": "issue:9044", "accept": false, - "reason": "Determinism issue vs missing diffusion_pytorch_model.bin file; different problems." + "reason": "Different SDXL-related failures: nondeterministic generation versus missing model file." }, { "left": "issue:4086", "right": "issue:4483", "accept": false, - "reason": "Training ControlNet not working vs SDXL generator nondeterminism; not the same bug." + "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 attribute errors in different subsystems; no shared failure mode." + "reason": "Different missing attributes on different wrapper/model classes." }, { "left": "issue:1565", "right": "issue:6536", "accept": false, - "reason": "GPU selection/OOM in one report vs UNet3D fine-tuning OOM in another; too generic to treat as the same bug." + "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 are distributed-training failures, but the reports involve different scripts/models and different failure modes." + "reason": "Both involve distributed training timeouts, but the scripts, models, and likely root causes differ." }, { "left": "issue:4483", "right": "issue:7708", "accept": false, - "reason": "Nondeterministic generation vs missing tokenizer/config file; unrelated." + "reason": "Nondeterminism versus missing tokenizer config file; unrelated." }, { "left": "issue:10029", "right": "issue:12174", "accept": false, - "reason": "Different attribute errors ('base_layer' vs '__getattr__'); not the same underlying defect." + "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": "Scheduler strength behavior vs batched seeds in ControlNet/Img2Img; separate functional issues." + "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, the only accepted soft pair (10169/4648) is well-supported by the explicit missing-config.json wording, and the rejections stay conservative without overstating duplicate evidence. No PRs are present, matching the packet." + "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, @@ -8498,7 +8405,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10436", "issue:10612", @@ -8508,10 +8415,8 @@ "issue:11178", "issue:11209", "issue:11224", - "issue:12499", "issue:1260", "issue:1263", - "issue:12896", "issue:13429", "issue:13430", "issue:1495", @@ -8531,6 +8436,7 @@ "issue:3788", "issue:4094", "issue:4241", + "issue:4728", "issue:4779", "issue:4945", "issue:5455", @@ -8538,6 +8444,7 @@ "issue:5689", "issue:6149", "issue:6636", + "issue:7114", "issue:7228", "issue:7513", "issue:7593", @@ -8556,6 +8463,7 @@ "issue:1263|issue:1495", "issue:2904|issue:7228", "issue:4094|issue:4945", + "issue:4728|issue:7114", "issue:7593|issue:858", "issue:11209|issue:11224", "issue:13429|issue:13430", @@ -8574,202 +8482,201 @@ "issue:9497|issue:9500", "issue:2635|issue:2676", "issue:11178|issue:9208", - "issue:3432|issue:3453", - "issue:12499|issue:12896" + "issue:3432|issue:3453" ], - "prepared_review_unit_hash": "d53e39062b6007f22d0486a8154c726d0bf5aa2b0346e07a7ea9f1098c169cb4", + "prepared_review_unit_hash": "df5c3c4fb92ea3d48294abc11942a661c60b835b7b2bc73b89ba09ab59c520ab", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 26, - "serialized_chars": 34244, - "estimated_input_tokens": 8561, - "estimated_eval_tokens": 17378 + "serialized_chars": 34391, + "estimated_input_tokens": 8598, + "estimated_eval_tokens": 17452 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly loose topical overlap rather than true duplication. The strongest duplicate-style pairs are 11209\u219411224, 13429\u219413430, 2390\u21942437, 2635\u21942676, and 11178\u21949208; the LoRA-loading and scheduler-noise links are related but not tight enough to merge as the same bug.", - "confidence": 0.78, - "canonical_issue_reason": "issue:11209 is the best umbrella because it is the most generic open LoRA-loading report, and it cleanly matches issue:11224 as a near-identical duplicate-style report.", + "summary": "This cluster is mostly a grab-bag of model-loading/support issues, with a small number of clear duplicates inside narrower subtopics (LoRA loading, scheduler-name questions, T2I-Adapter support, and ControlNet from_single_file loading).", + "confidence": 0.86, + "canonical_issue_reason": "issue:11209 is the best canonical issue for the LoRA-loading subgroup: it is generic, open, and has a near-identical twin in issue:11224.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11209 is the strongest issue cluster head: it is generic, open, and sits at the center of the closest duplicate pair in the set.", + "best_issue_reason": "issue:11209 is the strongest global issue representative among these items, but only for the LoRA-loading slice of the cluster; the overall set is too mixed to support one broad canonical issue perfectly.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:10436", "right": "issue:1925", "accept": false, - "reason": "Both concern inpainting load failures, but they involve different models and different failure modes, so they are not the same bug." + "reason": "Both mention inpainting, but one is a model-loading failure and the other is a half-precision runtime issue on a different model/version." }, { "left": "issue:10933", "right": "issue:6149", "accept": false, - "reason": "Both mention IP-Adapter loading, but they target different model variants and do not clearly share one concrete failure path." + "reason": "Both are IP-Adapter load errors, but they target different adapter/model variants and do not look like the same concrete bug." }, { "left": "issue:1260", "right": "issue:6636", "accept": false, - "reason": "These are different missing-symbol import errors, not the same underlying import breakage." + "reason": "Different import symbols and different API breakages; same general category, not the same bug." }, { "left": "issue:1263", "right": "issue:1495", "accept": false, - "reason": "Both are import errors, but for different symbols and code paths, so they should stay separate." + "reason": "Both are import errors, but for unrelated symbols and modules." }, { "left": "issue:2904", "right": "issue:7228", "accept": false, - "reason": "AudioLDM scheduler initialization and traced StableDiffusionPipeline dtype access are unrelated failures." + "reason": "Unrelated failures: AudioLDM scheduler initialization vs traced StableDiffusionPipeline missing dtype." }, { "left": "issue:4094", "right": "issue:4945", "accept": false, - "reason": "One asks for a training script and the other for tests; same area, but not the same bug or change." + "reason": "One asks for a training script, the other asks for tests for training; related area but not the same change." + }, + { + "left": "issue:4728", + "right": "issue:7114", + "accept": false, + "reason": "Both involve OOM during training, but on different scripts and contexts, so not the same underlying issue." }, { "left": "issue:7593", "right": "issue:858", "accept": false, - "reason": "These are different AttributeErrors in different pipeline/object contexts." + "reason": "Different attribute errors in different code paths; only superficial 'bug' similarity." }, { "left": "issue:11209", "right": "issue:11224", "accept": true, - "reason": "Same generic LoRA-loading error report, with essentially the same failure description." + "reason": "Near-identical titles and very high textual overlap; both are generic 'Error in loading Lora' reports." }, { "left": "issue:13429", "right": "issue:13430", "accept": true, - "reason": "These are the same JoyAI-Image-Edit request phrased as add/support, so they describe one change request." + "reason": "Same JoyAI-Image-Edit support request, phrased as 'add' vs 'support'." }, { "left": "issue:11062", "right": "issue:11209", "accept": false, - "reason": "Related LoRA-loading symptoms, but 11062 is model-specific and not clearly the same generic loader bug." + "reason": "Both are LoRA loading problems, but 11062 is a specific CivitAI LoRA load error and not clearly the same bug as the generic loading failure." }, { "left": "issue:11062", "right": "issue:11224", "accept": false, - "reason": "Same as above: broad LoRA-loading similarity, but not enough evidence that it is the same concrete defect." + "reason": "Same reason as 11062 vs 11209: similar area, but not enough evidence of the same concrete failure." }, { "left": "issue:9500", "right": "issue:9501", "accept": false, - "reason": "Both are Dreambooth Flux save-related, but one is a checkpoint save failure and the other is a long save delay." + "reason": "Both concern Flux DreamBooth saving, but one is a checkpoint failure and the other is a long save delay; likely distinct symptoms." }, { "left": "issue:5455", "right": "issue:7513", "accept": false, - "reason": "Both mention dreambooth+lora, but the reported failures are different and not clearly the same bug." + "reason": "Both mention DreamBooth/LoRA training problems, but the titles point to different workflows and failure modes." }, { "left": "issue:3728", "right": "issue:3788", "accept": false, - "reason": "Different new pipeline requests for different models; they are not duplicates." + "reason": "Separate new-pipeline requests for different models; same broad theme, not the same change." }, { "left": "issue:9161", "right": "issue:9163", "accept": false, - "reason": "Same training script, but the bugs described are different enough that they should remain separate." + "reason": "Same script area, but one is distributed bugs and the other is tensor bugs; too vague to merge as one issue." }, { "left": "issue:2830", "right": "issue:4779", "accept": false, - "reason": "Both are about ModelScope video generation, but one is a capability question and the other is a pipeline request." + "reason": "Both are about video generation on ModelScope, but one is a question and the other a pipeline request; not clearly the same request." }, { "left": "issue:1962", "right": "issue:2984", "accept": false, - "reason": "Both mention video generation, but they address different topics and are not the same change request." + "reason": "Different video-generation topics and different model families." }, { "left": "issue:10612", "right": "issue:10989", "accept": false, - "reason": "Both involve quantized Flux/LoRA loading, but the concrete pipelines and failures differ." + "reason": "Both involve LoRA loading with quantization, but one is Flux Fill and the other is Flux ControlNet; related bug class, not the same concrete code path." }, { "left": "issue:5630", "right": "issue:5689", "accept": false, - "reason": "These are different scheduler cases, LMS versus DPM++, so the evidence is too weak for a duplicate call." + "reason": "Both report residual noise in SDXL, but they refer to different schedulers and scenarios." }, { "left": "issue:2838", "right": "issue:4241", "accept": false, - "reason": "A ControlNet pipeline request and a unidiffusers LoRA fine-tuning request are unrelated." + "reason": "Both are about control/T2I-adapter style support, but one is a ControlNet pipeline question and the other is fine-tuning unidiffusers with LoRA." }, { "left": "issue:2390", "right": "issue:2437", "accept": true, - "reason": "Both are T2I-Adapter feature requests, with one asking for support and the other for the pipeline implementation." + "reason": "Both are the same T2I-Adapter feature request, one phrased as support and the other as adding the pipeline." }, { "left": "issue:9497", "right": "issue:9500", "accept": false, - "reason": "Both are Dreambooth Flux training issues, but they fail at different steps and should not be merged." + "reason": "Both are Flux DreamBooth training issues, but one is a matrix-shape runtime error and the other is checkpoint saving failure." }, { "left": "issue:2635", "right": "issue:2676", "accept": true, - "reason": "Both ask what DPM++ scheduler names correspond to in diffusers, so they describe the same question." + "reason": "Same underlying scheduler-name mapping question for DPM++ Karras variants." }, { "left": "issue:11178", "right": "issue:9208", "accept": true, - "reason": "Both report from_single_file failing to load ControlNet models; one is a specific instance of the same loader problem." + "reason": "Same from_single_file ControlNet loading problem; 11178 is a concrete instance of the broader 9208 issue." }, { "left": "issue:3432", "right": "issue:3453", "accept": false, - "reason": "Both are precision/runtime errors, but they occur in different scripts and ops." - }, - { - "left": "issue:12499", - "right": "issue:12896", - "accept": false, - "reason": "These are different Wan 2.2 I2V failures: a condition-shape mismatch versus an MPS-specific issue." + "reason": "Both are precision/runtime errors in examples, but on different ops, dtypes, and scripts." } ] }, "evaluator_result": { - "accept": false, - "feedback": "The packet supports some duplicate calls (e.g. 11209\u219411224, 13429\u219413430, 2390\u21942437, 2635\u21942676, 11178\u21949208), but the summary overstates the evidence for the LoRA and scheduler-noise groups. In particular, 11062\u219411209/11224 is only a broad LoRA-loading similarity with a specific model-vs-generic mismatch, and 5630\u21945689 are different scheduler cases (LMS vs DPM++), so calling them \"clear duplicates\" is too strong. The soft-edge verdicts should stay more conservative." + "accept": true, + "feedback": "The summary is well grounded in the packet: it correctly treats the cluster as mixed and only elevates clearly duplicated subtopics where the textual overlap is strong. The accepted soft-edge pairs are conservative enough, and the rejected pairs avoid overclaiming sameness from broad topical similarity alone. No PR-pair mergeability issue applies here." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -8785,7 +8692,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10144", "issue:10343", @@ -8798,11 +8705,11 @@ "issue:11657", "issue:12047", "issue:12052", - "issue:1214", "issue:12458", "issue:12459", + "issue:12499", + "issue:12896", "issue:13311", - "issue:1925", "issue:1962", "issue:197", "issue:199", @@ -8836,6 +8743,7 @@ "issue:9692" ], "soft_pairs": [ + "issue:12499|issue:12896", "issue:12458|issue:12459", "issue:3284|issue:3363", "issue:11209|issue:11286", @@ -8859,193 +8767,192 @@ "issue:197|issue:199", "issue:9237|issue:9497", "issue:5633|issue:7418", - "issue:11657|issue:13311", - "issue:1214|issue:1925" + "issue:11657|issue:13311" ], - "prepared_review_unit_hash": "a6f9e9840246a0acc5af535d32210fc9ad5e5cfaa348aaaf05510d27217e9d65", + "prepared_review_unit_hash": "89cc845ffdb129dfe49ad785f6410e104a612028193b9f84bdca2ef65539bb8c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 33404, - "estimated_input_tokens": 8351, - "estimated_eval_tokens": 16958 + "serialized_chars": 33415, + "estimated_input_tokens": 8354, + "estimated_eval_tokens": 16964 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly unrelated issues. The only clear duplicate cluster is the repeated generic LoRA-loading reports; a couple of code-path-specific import/train-script reports also look duplicate-ish. No PRs are present.", - "confidence": 0.58, - "canonical_issue_reason": "issue:11209 is the broadest and earliest open report in the repeated generic LoRA-loading cluster, so it is the best canonical anchor.", + "summary": "This set is mostly heterogeneous: many feature requests and unrelated model-specific bugs. The clearest duplicate pocket is the LoRA-loading reports (11209/11224/11286), with a likely duplicate pair for Flux Dreambooth training (9237/9497).", + "confidence": 0.74, + "canonical_issue_reason": "issue:11224 is the strongest representative of the LoRA-loading duplicate set: it has the same generic failure title as 11209/11286 and the most discussion activity among them.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11209 is the best overall issue candidate because its title is generic enough to represent the LoRA-loading duplicate cluster without being tied to one specific model.", + "best_issue_reason": "issue:11224 is the best consolidation target for the only clearly duplicated issue family in this batch.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12499", + "right": "issue:12896", + "accept": false, + "reason": "Same Wan 2.2 I2V area, but one is a condition-shape mismatch and the other is an MPS-specific device/backend failure; not the same concrete bug." + }, { "left": "issue:12458", "right": "issue:12459", "accept": false, - "reason": "Different models and different concerns: Qwen image-edit batch inference vs FLUX.1-Kontext-dev throughput." + "reason": "Both mention batch inference, but they are for different models/pipelines and one is a throughput request while the other is an issue report." }, { "left": "issue:3284", "right": "issue:3363", - "accept": false, - "reason": "Same script family, but the reports describe different environments/failures and no concrete shared root cause." + "accept": true, + "reason": "Both report train_dreambooth_lora.py failing, with very similar wording and no sign of different code paths; plausible duplicate." }, { "left": "issue:11209", "right": "issue:11286", "accept": true, - "reason": "Both are generic LoRA-loading failure reports with the same underlying symptom class." + "reason": "Near-identical LoRA loading failure wording in the same subsystem; likely the same underlying bug." }, { "left": "issue:11224", "right": "issue:11286", "accept": true, - "reason": "Same generic LoRA-loading failure category; titles differ only in wording." + "reason": "Near-identical LoRA loading failure wording in the same subsystem; likely the same underlying bug." }, { "left": "issue:3094", "right": "issue:3451", "accept": false, - "reason": "Both involve memory, but one is an OOM during example training and the other is fp16 using more memory than fp32." + "reason": "Both are training-memory related, but one is an OOM during finetuning and the other is an fp16-vs-fp32 memory regression; different bugs." }, { "left": "issue:1962", "right": "issue:5889", "accept": false, - "reason": "A general video-generation request is not the same as the Stable Video Diffusion feature topic." + "reason": "One is a generic request for video generation with Stable Diffusion, the other is about Stable Video Diffusion specifically; not the same issue." }, { "left": "issue:4680", "right": "issue:5594", "accept": false, - "reason": "Both mention SDXL fine-tuning, but one is inpainting support and the other is memory-saving with LoRA." + "reason": "Both touch SDXL fine-tuning, but one asks about inpainting support and the other about LoRA memory usage; different requests." }, { "left": "issue:6584", "right": "issue:6689", "accept": false, - "reason": "Different model conversions to Diffusers; same category, but not the same conversion bug." + "reason": "Both are conversion-to-Diffusers problems, but they involve different source models and no shared concrete failure is evident." }, { "left": "issue:9042", "right": "issue:9148", "accept": false, - "reason": "Add Flux pipeline vs add Flux inpainting pipeline are related features, not the same concrete change." + "reason": "Related Flux feature requests, but one is the base pipeline and the other is inpainting support; not the same change." }, { "left": "issue:12047", "right": "issue:12052", "accept": false, - "reason": "LoRA fusion failure and cross-device tensor multiplication are different code-path problems." + "reason": "Both involve Wan 2.2 and LightX2V, but one is LoRA fusion on GGUF and the other is an offloading device-mismatch bug; different code paths." }, { "left": "issue:3884", "right": "issue:7330", - "accept": true, - "reason": "Same train_text_to_image_lora path; 7330 is the concrete FP16 unscale error behind the broader failure report." + "accept": false, + "reason": "Same training script, but the failure descriptions are too generic vs. a specific FP16 unscale error; not enough evidence of the same bug." }, { "left": "issue:4708", "right": "issue:5603", - "accept": true, - "reason": "Both are import failures from diffusers.utils; 5603 names one missing symbol in the same underlying issue." + "accept": false, + "reason": "Both are import errors from diffusers.utils, but the concrete missing symbol/module failure is different and not clearly the same root cause." }, { "left": "issue:4708", "right": "issue:6636", "accept": false, - "reason": "Different missing symbols from diffusers.utils; likely separate import regressions." + "reason": "Both are import errors from diffusers.utils, but they point to different missing names and could be separate regressions." }, { "left": "issue:2462", "right": "issue:2838", "accept": false, - "reason": "IterableDataset support request is unrelated to a ControlNet pipeline customization request." + "reason": "Different feature requests in different areas; only loosely related by training/pipeline support." }, { "left": "issue:2941", "right": "issue:3061", "accept": false, - "reason": "Scheduler quality complaints and reproducibility issues are different bugs." + "reason": "Both concern Stable Diffusion outputs, but one is scheduler-specific undesired results and the other is general reproducibility; not the same bug." }, { "left": "issue:5118", "right": "issue:9551", "accept": false, - "reason": "Different ControlNet-related questions with no shared concrete failure." + "reason": "Both mention ControlNet, but one is about reference_only usage and the other about Flux ControlNet models; different tasks." }, { "left": "issue:11374", "right": "issue:11569", "accept": false, - "reason": "Different model support requests: SkyReels-V2 vs ltxv-13b-0.9.7-distilled." + "reason": "Both are model-support feature requests, but for different models and different integration work." }, { "left": "issue:10144", "right": "issue:6418", "accept": false, - "reason": "Different video models and different symptoms; not the same underlying bug." + "reason": "Both are video-quality complaints, but they involve different models and different symptoms; not the same underlying issue." }, { "left": "issue:11062", "right": "issue:11286", "accept": false, - "reason": "A specific CivitAI LoRA load error is not enough to merge with a generic LoRA-loading report." + "reason": "Both are LoRA-loading problems, but 11062 is specific to a particular CivitAI LoRA while 11286 is a generic loading error; not enough to treat as the same bug." }, { "left": "issue:10343", "right": "issue:9692", "accept": false, - "reason": "Different CogView3-related failures: black image output vs startup error." + "reason": "Same CogView3-Plus family, but one is a black-image/cast warning and the other is a startup error; different failures." }, { "left": "issue:197", "right": "issue:199", "accept": false, - "reason": "Both are dead-code cleanup requests, but for different subsystems and changes." + "reason": "Both are dead-code cleanup items, but they target different modules and are not the same change." }, { "left": "issue:9237", "right": "issue:9497", - "accept": false, - "reason": "Flux dreambooth LoRA training and a mat2 shape error are different concrete problems." + "accept": true, + "reason": "Both are Flux Dreambooth/LoRA training problems, and 9497 looks like a concrete runtime manifestation of the broader training issue in 9237." }, { "left": "issue:5633", "right": "issue:7418", "accept": false, - "reason": "Different files and code paths; not the same bug." + "reason": "Different files and different bug reports; no evidence they are the same defect." }, { "left": "issue:11657", "right": "issue:13311", "accept": false, - "reason": "Different model families and different LoRA-loading symptoms." - }, - { - "left": "issue:1214", - "right": "issue:1925", - "accept": false, - "reason": "Both mention half precision, but the affected models and code paths differ." + "reason": "Both mention missing LoRA keys with prefix='transformer', but they affect different model families and likely different loaders." } ] }, "evaluator_result": { "accept": true, - "feedback": "Grounded overall. The canonical issue choice is conservative and supported by the packet: issue:11209 is the earliest open, generic LoRA-loading report among the repeated cluster. The reject calls are mostly cautious and aligned with the titles. The accepted soft pairs are still plausible from the packet text, especially the generic LoRA-loading cluster and the import/train-script duplicates. No PRs are present, as stated." + "feedback": "The summary is grounded in the packet: the LoRA-loading trio is the strongest duplicate pocket, and the 9237/9497 Flux Dreambooth pair is plausibly related. The non-duplicate calls are generally conservative and supported by the differing titles/symptoms." }, "evaluator_used": true, "retried": false, @@ -9064,7 +8971,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10226", "issue:10282", @@ -9077,9 +8984,11 @@ "issue:11824", "issue:11839", "issue:11865", + "issue:1214", "issue:12216", "issue:12645", "issue:12653", + "issue:1925", "issue:2830", "issue:2966", "issue:3019", @@ -9087,8 +8996,6 @@ "issue:3420", "issue:3774", "issue:3885", - "issue:4185", - "issue:4398", "issue:4520", "issue:4708", "issue:4733", @@ -9115,6 +9022,7 @@ "issue:9857" ], "soft_pairs": [ + "issue:1214|issue:1925", "issue:11315|issue:12653", "issue:4708|issue:6794", "issue:7168|issue:7306", @@ -9137,188 +9045,190 @@ "issue:11865|issue:9141", "issue:2830|issue:3019", "issue:10282|issue:11839", - "issue:9497|issue:9548", - "issue:4185|issue:4398" + "issue:9497|issue:9548" ], - "prepared_review_unit_hash": "7f539a42fa98424d88fdbb802043cf22c45e52da1c8c75d5bc3d077d6f9c0108", + "prepared_review_unit_hash": "c8d315b9364c00ee5b1089325b80a4be00eeeeb25158216210e1892d3cc59ae0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33890, - "estimated_input_tokens": 8473, - "estimated_eval_tokens": 17202 + "serialized_chars": 33858, + "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 mostly a set of near-matches around several different pipelines, but the titles point to distinct bugs or feature requests rather than one duplicate. The only clearly central issue is the original Flux Dreambooth LoRA training report, which later follow-ups reference.", - "confidence": 0.79, - "canonical_issue_reason": "issue:9237 is the broadest and most central Flux Dreambooth LoRA training report, and later issues like 9548 explicitly treat it as the parent thread.", + "summary": "This cluster is mostly a grab bag of unrelated issues across different pipelines/models. The only clear duplicate-looking pair is the rope float64 MPS regression. No PRs are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:9237 is the best representative anchor because it is the broadest FLUX dreambooth/LoRA training thread and has the strongest follow-up activity among the Flux-training issues.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9237 is the best anchor for the Flux Dreambooth LoRA duplicate family because it is the original umbrella report with the most direct follow-up traffic.", + "best_issue_reason": "issue:9237 is the most useful global issue to keep as the canonical reference for the recurring Flux dreambooth/LoRA reports; it is broad, central, and has the most discussion/inbound references in that subtopic.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1214", + "right": "issue:1925", + "accept": false, + "reason": "Both mention half-precision, but one is CLIPTextModel-specific and the other is SD2 inpainting; too broad to treat as the same bug." + }, { "left": "issue:11315", "right": "issue:12653", - "accept": false, - "reason": "Both mention rope float64/MPS breakage, but they refer to different model codepaths (HiDream vs PRX transformer rope) and are not clearly the same fixable bug." + "accept": true, + "reason": "Both describe the same rope implementation float64 regression breaking MPS/NPU; same underlying bug and likely one fix." }, { "left": "issue:4708", "right": "issue:6794", "accept": false, - "reason": "Both are import errors, but they involve different symbols and modules; this is not the same underlying failure." + "reason": "Both are import errors, but they point to different symbols/modules and do not clearly share the same root cause." }, { "left": "issue:7168", "right": "issue:7306", "accept": false, - "reason": "These are unrelated: one is IP-Adapter image embedding shape handling, the other is float16 support in a different pipeline." + "reason": "Different problems: IP-Adapter image-embed shape handling versus float16 support in LEditsPPPipelineStableDiffusionXL." }, { "left": "issue:2966", "right": "issue:3026", "accept": false, - "reason": "Both are training-script errors, but they affect different launch modes and appear to be separate bugs." + "reason": "Same script family, but one is multi-GPU training and the other is a single-GPU accelerate launch failure; not enough evidence of the same concrete bug." }, { "left": "issue:7621", "right": "issue:8359", "accept": false, - "reason": "Different features and failure modes: cosxl_edit integration versus from_single_file custom checkpoint loading." + "reason": "Different features: cosxl_edit pipeline compatibility versus from_single_file with custom checkpoints." }, { "left": "issue:4736", "right": "issue:4872", "accept": false, - "reason": "Both concern SDXL finetuning resource issues, but one is an OOM/cast error in a LoRA script and the other is a general Colab VRAM complaint." + "reason": "Both mention SDXL finetuning OOM, but one also has an invalid-cast error and they do not look like the same specific failure." }, { "left": "issue:10749", "right": "issue:10872", "accept": false, - "reason": "These are separate feature requests for different pipelines and different loading APIs (GGUF support vs from_single_file support)." + "reason": "Both are feature requests for new loading support, but they target different models and formats." }, { "left": "issue:7263", "right": "issue:9448", "accept": false, - "reason": "Both involve IP-Adapter, but the concrete failures differ: attention slicing compatibility versus tuple/shape handling in ControlNet inpaint." + "reason": "Both involve IP-Adapter, but the failures are different: attention slicing versus a tuple/shape error in ControlNet inpaint." }, { "left": "issue:5226", "right": "issue:5227", "accept": false, - "reason": "Same broad area, but one is load_lora_weights on an adapter pipeline and the other is torch.compile compatibility; not the same bug." + "reason": "Both concern LoRA loading, but one is AdapterPipeline compatibility and the other is torch.compile interaction; different code paths." }, { "left": "issue:3420", "right": "issue:4520", "accept": false, - "reason": "ControlNet inpaint pipeline failure and LoRA scale with attention slicing are distinct code paths and distinct bugs." + "reason": "Different subsystems and symptoms: ControlNet/Diffusion pipeline mismatch versus LoRA scale with attention slicing." }, { "left": "issue:7513", "right": "issue:9237", "accept": false, - "reason": "Both are Dreambooth/LoRA issues, but one is SDXL-specific while the other is Flux-specific; they are not the same underlying problem." + "reason": "Both are Dreambooth/LoRA training reports, but one is SDXL on a 3060 and the other is FLUX training; not the same bug." }, { "left": "issue:10226", "right": "issue:9857", "accept": false, - "reason": "Both are Flux tensor-size mismatch reports, but they hit different training workflows (Dreambooth LoRA vs ControlNet) and likely different model inputs." + "reason": "Both are Flux tensor-shape failures, but one is Dreambooth LoRA training and the other is ControlNet embedding mismatch; too different to merge." }, { "left": "issue:11824", "right": "issue:11839", "accept": false, - "reason": "Different FluxKontext errors: multi-image runtime failure versus GGUF invalid input size." + "reason": "Same pipeline family, but one is multi-image input handling and the other is GGUF loading with invalid input size; not clearly the same defect." }, { "left": "issue:10848", "right": "issue:9026", "accept": false, - "reason": "Both are loader signature mismatches, but they are on different functions with different unexpected keywords and different subsystems." + "reason": "Both are unexpected-kwarg errors, but they occur in different loader functions with different arguments and likely different fixes." }, { "left": "issue:4733", "right": "issue:5757", "accept": false, - "reason": "Both are resume-from-checkpoint problems, but they affect different training scripts and do not read as the same defect." + "reason": "Both are checkpoint-resume issues, but they are on different training scripts and the reports do not show the same underlying failure." }, { "left": "issue:10869", "right": "issue:10958", "accept": false, - "reason": "Both involve meta tensors, but the reported operations differ (.item() versus copy-out) and the affected pipelines are different." + "reason": "Both are meta-tensor errors, but one is Tensor.item() and the other is copy-out; similar class of symptom, not the same concrete bug." }, { "left": "issue:7492", "right": "issue:8939", "accept": false, - "reason": "Different model-loading failures: one is repository lookup, the other is tokenizer resolution for a specific model." + "reason": "Both are loading failures, but one is a missing repository and the other is a tokenizer load error for a different model." }, { "left": "issue:12216", "right": "issue:12645", "accept": false, - "reason": "These are not duplicates: one reports inferior image quality, the other slower inference speed." + "reason": "Same model family, but one is quality comparison and the other is speed comparison; not the same issue." }, { "left": "issue:3774", "right": "issue:3885", "accept": false, - "reason": "Same training script family, but one is a zero3 memory-saving bug and the other is a general VRAM-reduction question." + "reason": "Both concern VRAM/memory in train_text_to_image.py, but one is zero3 not saving memory and the other is a general VRAM reduction question." }, { "left": "issue:11865", "right": "issue:9141", "accept": false, - "reason": "Both are missing from_single_file support, but for different model classes and different implementation paths." + "reason": "Both mention missing from_single_file support, but they target different model classes and different user requests." }, { "left": "issue:2830", "right": "issue:3019", "accept": false, - "reason": "Completely different feature requests in different domains; no shared bug or change." + "reason": "Image-to-video/modelscope question versus segment-anything for text-guided editing; unrelated." }, { "left": "issue:10282", "right": "issue:11839", "accept": false, - "reason": "Both mention Flux loading problems, but one is an x_embedder shape mismatch and the other is a GGUF input-size error in FluxKontext; not the same bug." + "reason": "Both involve shape/input-size mismatch, but one is a Flux x_embedder weight shape issue and the other is GGUF load input-size validation; different failures." }, { "left": "issue:9497", "right": "issue:9548", "accept": false, - "reason": "9548 is explicitly a follow-up to 9237, while 9497 is a separate Flux Dreambooth training error with a different stack failure." - }, - { - "left": "issue:4185", - "right": "issue:4398", - "accept": false, - "reason": "Both mention black images in SDXL contexts, but one is ControlNet inference and the other is LoRA Dreambooth; too different to merge." + "reason": "Both are Flux Dreambooth/LoRA training reports, but one is a mat2 dimensionality error and the other is a follow-up on the earlier Flux issue; not the same concrete bug." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: issue:9237 is a reasonable canonical anchor for the Flux dreambooth/LoRA cluster, the rope float64 MPS pair is the only clearly duplicate-looking one, and the note that no PRs are present is supported. The soft-edge verdicts are generally conservative and do not overstate duplicate evidence." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -9333,7 +9243,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10937", "issue:11464", @@ -9348,15 +9258,15 @@ "issue:2244", "issue:2250", "issue:2636", - "issue:2883", "issue:3289", "issue:3391", "issue:3728", "issue:3788", "issue:3826", + "issue:4185", "issue:4213", + "issue:4398", "issue:4733", - "issue:4779", "issue:4872", "issue:5005", "issue:5226", @@ -9384,6 +9294,7 @@ "issue:9914" ], "soft_pairs": [ + "issue:4185|issue:4398", "issue:2636|issue:5005", "issue:8723|issue:9012", "issue:6274|issue:6275", @@ -9407,193 +9318,192 @@ "issue:3788|issue:3826", "issue:5412|issue:5840", "issue:4213|issue:5226", - "issue:12009|issue:12047", - "issue:2883|issue:4779" + "issue:12009|issue:12047" ], - "prepared_review_unit_hash": "a4211212ed4f6adec3b0e07b021d947af007803cf3df869fe092745bd94ffeea", + "prepared_review_unit_hash": "4a9321ff7cf7fd748e76f181fc590f2669c771739f70523e759d5abf66c8e845", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 33766, - "estimated_input_tokens": 8442, - "estimated_eval_tokens": 17140 + "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 mostly heterogeneous: many unrelated feature requests and model-specific bugs. Only a few soft pairs clearly describe the same underlying failure mode, mainly checkpoint resume and specific model loading/resolution bugs.", - "confidence": 0.63, - "canonical_issue_reason": "issue:9343 is the clearest actionable bug report in the set: it is open, detailed, and ties the failure to a specific FLUX loading configuration (`low_cpu_mem_usage=False` + `ignore_mismatched_sizes=True`).", + "summary": "This set is mostly a mix of unrelated issues, with a few clear duplicate-style pairs around the same concrete bug (resume-from-checkpoint progress handling, Stable Cascade resolution failures, and some model-loading errors). I did not find a single global canonical issue/PR for the whole cluster.", + "confidence": 0.79, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:9343 is the strongest issue candidate overall because it has a concrete repro surface and addresses a current, specific loading bug rather than a broad feature request.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4185", + "right": "issue:4398", + "accept": false, + "reason": "Both mention black images, but they involve different pipelines and likely different root causes." + }, { "left": "issue:2636", "right": "issue:5005", "accept": true, - "reason": "Both report the same resume-from-checkpoint progress/resume behavior in training scripts." + "reason": "Same resume-from-checkpoint progress-bar/skip-step bug in training scripts." }, { "left": "issue:8723", "right": "issue:9012", "accept": true, - "reason": "Both concern SD3ControlNetModel.from_transformer failing during initialization/load; same concrete code path." + "reason": "Both target SD3ControlNetModel.from_transformer loading/initialization failures on the same code path." }, { "left": "issue:6274", "right": "issue:6275", "accept": false, - "reason": "Related adapter area, but one is about multiple adapters and the other about incomplete model support; not the same bug." + "reason": "Both are T2I-Adapter issues, but one is about multiple adapters and the other about model coverage." }, { "left": "issue:11464", "right": "issue:12459", "accept": false, - "reason": "Different problems: LoRA loading into FluxControlPipeline vs batch inference throughput." + "reason": "Different FLUX problems: model loading vs batch inference throughput." }, { "left": "issue:10937", "right": "issue:11864", "accept": false, - "reason": "Both mention compile/encode errors, but they involve different autoencoders and different failure causes." + "reason": "Both are torch.compile encode failures, but they affect different models and error modes." }, { "left": "issue:6277", "right": "issue:6363", - "accept": false, - "reason": "Same script family, but the reports describe different concrete failures; too broad to treat as duplicates." + "accept": true, + "reason": "Same train_text_to_image_lora.py gradient/unscale failure reported at different specificity levels." }, { "left": "issue:3728", "right": "issue:9873", "accept": false, - "reason": "Different feature requests for different pipelines." + "reason": "Both are new pipeline requests, but for completely different models." }, { "left": "issue:9343", "right": "issue:9667", "accept": false, - "reason": "Both are FLUX load issues, but the triggers and failure modes differ." + "reason": "Different FLUX load-time issues with different flags and failure contexts." }, { "left": "issue:7142", "right": "issue:7432", "accept": false, - "reason": "Both are output-mismatch complaints, but they target different models and likely different root causes." + "reason": "Both compare diffusers to WebUI, but the model/context differ and the reports are too broad to treat as the same bug." }, { "left": "issue:7355", "right": "issue:7644", "accept": true, - "reason": "Both describe Stable Cascade failures on non-standard image sizes/resolution handling." + "reason": "Same Stable Cascade resolution-handling failure with arbitrary / non-power-of-two sizes." }, { "left": "issue:3788", "right": "issue:9873", "accept": false, - "reason": "Unrelated new-pipeline feature requests." + "reason": "Different new pipeline proposals with no shared concrete bug or feature." }, { "left": "issue:9115", "right": "issue:9187", "accept": false, - "reason": "Different adapter/model combinations and different bugs." + "reason": "Different adapter integrations and different failure modes." }, { "left": "issue:2052", "right": "issue:4733", "accept": false, - "reason": "Both are resume-from-checkpoint issues, but in different training scripts with different symptoms." + "reason": "Both involve checkpoint resume, but they are different training scripts and errors." }, { "left": "issue:3289", "right": "issue:3391", "accept": false, - "reason": "Same subsystem, but one is a resolution bug and the other is an overexposure issue; not clearly the same underlying defect." + "reason": "Same DeepFloyd area, but the bugs are different symptoms and likely different causes." }, { "left": "issue:11630", "right": "issue:11674", "accept": false, - "reason": "One is a from_single_file support request; the other is a broader Wan VACE capability request." + "reason": "Same Wan VACE family, but one is single-file support and the other is ref-image/multi-control-video support." }, { "left": "issue:2244", "right": "issue:2250", "accept": false, - "reason": "Different DreamBooth inference failures with different symptoms." + "reason": "Both are DreamBooth inference issues, but the failures are unrelated." }, { "left": "issue:9343", "right": "issue:9914", "accept": false, - "reason": "Both involve FLUX loading, but one is a base-model load configuration bug and the other is a LoRA loading problem." + "reason": "Both concern FLUX loading, but one is a mismatched-size/load flag issue and the other is LoRA loading with Xlabs." }, { "left": "issue:7057", "right": "issue:771", "accept": false, - "reason": "Different model/training contexts and different precision-related failures." + "reason": "Both are checkpoint or precision-related, but the actual models and failure paths differ." }, { "left": "issue:6201", "right": "issue:8645", "accept": false, - "reason": "Prompt-encoding bug versus missing helper function; unrelated." + "reason": "Different code paths entirely: prompt embedding handling vs missing single_file_utils helper." }, { "left": "issue:2089", "right": "issue:4872", "accept": false, - "reason": "Both mention OOM during training, but they are different training setups and not the same bug." + "reason": "Both are OOM training reports, but on different models and scenarios." }, { "left": "issue:3788", "right": "issue:3826", "accept": false, - "reason": "Different new pipeline requests." + "reason": "Both are new pipeline requests, but they are unrelated models/features." }, { "left": "issue:5412", "right": "issue:5840", "accept": true, - "reason": "Both report train_dreambooth_lora_sdxl.py failing to resume from checkpoint, with the same underlying resume logic." + "reason": "Same train_dreambooth_lora_sdxl.py checkpoint-resume failure." }, { "left": "issue:4213", "right": "issue:5226", "accept": false, - "reason": "Different issues: from_single_file dependency handling versus LoRA loading on an adapter pipeline." + "reason": "Different SDXL loading features and different failures." }, { "left": "issue:12009", "right": "issue:12047", "accept": false, - "reason": "Same model family, but loading GGUF vs fusing a LoRA are different concrete problems." - }, - { - "left": "issue:2883", - "right": "issue:4779", - "accept": false, - "reason": "Both mention image-to-video, but they are separate pipeline requests rather than the same specific change." + "reason": "Same model family, but one is single-file loading and the other is LoRA fusion on GGUF; not clearly the same bug." } ] }, "evaluator_result": { "accept": true, - "feedback": "The packet-grounded summary is conservative and consistent with the issue titles/bodies. The accepted soft pairs all have clear topical overlap and plausible same-bug alignment (resume/checkpoint progress handling, SD3ControlNetModel.from_transformer load errors, Stable Cascade resolution handling, and train_dreambooth_lora_sdxl.py resume failures). The rejected pairs are also cautious and not overstated. The best/canonical issue choice (issue:9343) is supported by the packet as a specific open FLUX loading bug with a concrete repro configuration." + "feedback": "The cluster summary is grounded in the packet, and the soft-edge decisions are conservative overall. The accepted pairs are plausible duplicates or near-duplicates based on the titles, while the rejected pairs are appropriately cautious and do not overstate identity across different models, scripts, or failure modes. No canonical issue/PR is asserted without support, and the summary does not overclaim a single global bug." }, "evaluator_used": true, "retried": false, @@ -9612,7 +9522,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10350", "issue:10472", @@ -9631,17 +9541,17 @@ "issue:2560", "issue:2772", "issue:2774", + "issue:2883", "issue:2891", "issue:3008", "issue:3094", - "issue:3112", "issue:3184", "issue:3569", "issue:3631", "issue:3639", "issue:4000", "issue:4580", - "issue:5314", + "issue:4779", "issue:5433", "issue:5465", "issue:5577", @@ -9664,6 +9574,7 @@ "issue:9953" ], "soft_pairs": [ + "issue:2883|issue:4779", "issue:10653|issue:9953", "issue:10350|issue:12082", "issue:3569|issue:3639", @@ -9687,193 +9598,192 @@ "issue:10472|issue:10848", "issue:8494|issue:852", "issue:2294|issue:7147", - "issue:6183|issue:7210", - "issue:3112|issue:5314" + "issue:6183|issue:7210" ], - "prepared_review_unit_hash": "b30b36c82858c05d5fa132dcdb183e92720e72d2e897f606125b7f52a862459a", + "prepared_review_unit_hash": "3869d19c7f88ed381f1cd72f0597f44f79c60aa0528ca70d94baf2dcb24dacca", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34789, - "estimated_input_tokens": 8698, - "estimated_eval_tokens": 17652 + "serialized_chars": 34770, + "estimated_input_tokens": 8693, + "estimated_eval_tokens": 17642 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a loose thematic group rather than true duplicates. The only strong duplicate pair is the ControlNet local-data-loading bug in `train_controlnet.py`; the rest are similar only at a broad subsystem or symptom level and should stay separate.", - "confidence": 0.56, - "canonical_issue_reason": "Issue 2772 is the clearest, most specific report of the shared `train_controlnet.py` local dataset loading bug, and issue 7267 reads like the same failure mode with a less specific title.", + "summary": "This cluster is mostly heterogeneous. Two pairs look like true duplicates or near-duplicates around the same code path; the rest are only loosely similar by topic and should stay separate.", + "confidence": 0.95, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 2772 is the best representative issue in this set: it is concrete, actionable, and has the strongest duplicate relationship to another item in the cluster.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2883", + "right": "issue:4779", + "accept": false, + "reason": "Both mention image-to-video, but one is a generic pipeline request and the other is a ModelScope-specific pipeline item; not the same bug/change." + }, { "left": "issue:10653", "right": "issue:9953", "accept": false, - "reason": "Both are about quantized modules and device moves, but one is a bitsandbytes 8-bit `.to(cpu)` limitation and the other is a pipeline `.to(cuda)` error; not the same concrete bug." + "reason": "Both involve quantized modules and device moves, but one is 8-bit to CPU and the other is moving a quantized component to CUDA; different failure paths." }, { "left": "issue:10350", "right": "issue:12082", "accept": false, - "reason": "Both mention high VAE memory use, but they concern different models and contexts (`SD2.1` decoder vs `wan2.1` VAE after compile)." + "reason": "Both mention VAE memory, but they target different models and triggers (SD2.1 decoder vs Wan2.1 after compile)." }, { "left": "issue:3569", "right": "issue:3639", "accept": false, - "reason": "These are different new-pipeline requests (`Uni-ControlNet` vs `GlyphControl`), not the same underlying change or bug." + "reason": "These are separate new-pipeline requests for different features (Uni-ControlNet vs GlyphControl)." }, { "left": "issue:5433", "right": "issue:6295", "accept": false, - "reason": "Both report artifacts with DPM++/SDXL, but the conditions differ enough (`without refiner` vs `use_lu_lambdas`) that they do not clearly describe the same bug." + "reason": "Both are about DPM++ artifacts, but the reported conditions differ enough (missing refiner vs use_lu_lambdas) that they do not clearly describe one concrete bug." }, { "left": "issue:2772", "right": "issue:7267", "accept": true, - "reason": "Both point to the same `train_controlnet.py` local dataset loading problem; 7267 is a broader re-report of the same broken local-loading path." + "reason": "Both describe the same train_controlnet.py local-dataset/local-loading problem; the titles point to the same underlying script bug." }, { "left": "issue:5577", "right": "issue:6183", "accept": false, - "reason": "Both are `from_single_file` loading failures, but for different models and different failure types (`ControlNetModel` key error vs SDXL shape mismatch)." + "reason": "Both involve from_single_file, but they hit different model types and different errors (ControlNet key error vs SDXL shape issue)." }, { "left": "issue:9501", "right": "issue:9727", "accept": false, - "reason": "Both involve Flux DreamBooth saving, but one is a long save delay and the other is a multi-GPU save problem; too different to merge as one bug." + "reason": "Both are DreamBooth/FLUX save problems, but one is delayed saving and the other is a multigpu save failure; not clearly the same bug." }, { "left": "issue:2089", "right": "issue:3094", "accept": false, - "reason": "Both are CUDA OOM training reports, but they involve different scripts/models and likely different memory-pressure causes." + "reason": "Both are OOM reports during training, but they involve different examples and contexts; too broad to be one bug." }, { "left": "issue:1495", "right": "issue:7147", "accept": false, - "reason": "These are unrelated import errors for different missing symbols." + "reason": "Both are import errors, but for different symbols and different releases; not the same issue." }, { "left": "issue:3008", "right": "issue:3184", - "accept": false, - "reason": "Same community pipeline name, but one is an invalid `torch.randn` argument combination and the other is generator-list handling; different bugs." + "accept": true, + "reason": "Both are about lpw_stable_diffusion handling generator lists/invalid torch.randn arguments, which looks like the same concrete pipeline bug." }, { "left": "issue:12195", "right": "issue:7185", "accept": false, - "reason": "These are different version-compatibility problems (`torch.library.custom_op` missing vs general PyTorch 2.2.0 support question)." + "reason": "One is a specific AutoencoderKL failure on PyTorch 2.3.1; the other is a general question about PyTorch 2.2.0 support." }, { "left": "issue:5661", "right": "issue:5917", "accept": false, - "reason": "Different regressions: a missing tokenizer symbol versus a checkpoint conversion failure after upgrade." + "reason": "Both are upgrade-related errors, but they concern unrelated missing names in different code paths." }, { "left": "issue:2774", "right": "issue:4000", "accept": false, - "reason": "Both are conversion-related, but they concern different source formats and different conversion paths." + "reason": "Both are conversion problems, but one is ControlNet safetensors conversion and the other is SD 2.0 ckpt conversion; different tools and likely different bugs." }, { "left": "issue:11948", "right": "issue:7209", "accept": false, - "reason": "Both involve offline/local loading, but one is `from_pretrained` on WanTransformer3DModel and the other is `from_single_file` with HTTPS fallback; not the same code path." + "reason": "Both concern offline loading, but one is from_pretrained for WanTransformer3DModel and the other is from_single_file with a local safetensor; different loading paths." }, { "left": "issue:12458", "right": "issue:12645", "accept": false, - "reason": "Same model family, but one is batch inference/feature request and the other is a speed comparison; not the same bug." + "reason": "One is a batch inference issue/feature request and the other is a speed comparison complaint; not the same bug." }, { "left": "issue:3631", "right": "issue:4580", "accept": false, - "reason": "Different pipeline issues: inpainting with latents versus UniPC scheduling with Karras sigmas." + "reason": "Different pipelines and errors: inpainting latents exception vs UniPC schedule/use_karras_sigmas exception." }, { "left": "issue:5846", "right": "issue:6073", "accept": false, - "reason": "The titles suggest different SDXL training/setup errors; not enough evidence of a shared defect." + "reason": "Both are beginner DreamBooth support reports, but they do not identify the same concrete failure." }, { "left": "issue:2392", "right": "issue:2560", "accept": false, - "reason": "One is a prompt_embeds validation bug, the other is generator-list output inconsistency; unrelated pipeline behavior." + "reason": "Both touch StableDiffusionImg2ImgPipeline, but one is a prompt_embeds validation error and the other is differing outputs with a generator list." }, { "left": "issue:2459", "right": "issue:771", "accept": false, - "reason": "Both are training-related, but one is xformers attention not working and the other is BF16 support; distinct issues." + "reason": "Unrelated training/setup failures: xformers enablement vs BF16 support." }, { "left": "issue:2891", "right": "issue:5465", "accept": false, - "reason": "These are unrelated pipeline limitations (`embeds` support vs `inpaint_strength` behavior)." + "reason": "Both mention unsupported options/docs mismatches, but they are different features (embeds vs inpaint_strength) and not one bug." }, { "left": "issue:10472", "right": "issue:10848", "accept": false, - "reason": "Different unexpected-kwarg failures in different features (`lora_bias` vs `device` for IP-Adapter loading)." + "reason": "Both are unexpected-keyword errors, but for different arguments and loading functions; too generic to merge." }, { "left": "issue:8494", "right": "issue:852", "accept": false, - "reason": "Both are unexpected-keyword-argument errors, but they are for different arguments, versions, and execution paths." + "reason": "Different unexpected keyword arguments in different versions/code paths; not the same defect." }, { "left": "issue:2294", "right": "issue:7147", "accept": false, - "reason": "Different missing pipeline symbols; same import-error class but not the same missing object or fix." + "reason": "Both are import errors, but they reference different missing pipeline symbols and different eras." }, { "left": "issue:6183", "right": "issue:7210", "accept": false, - "reason": "Both mention SDXL loading, but one is a shape mismatch from `from_single_file` and the other is an `accelerate` dispatch attribute error." - }, - { - "left": "issue:3112", - "right": "issue:5314", - "accept": false, - "reason": "Both are ControlNet inpainting related, but one is a multi-ControlNet pipeline request and the other is a reference-inpainting pipeline request." + "reason": "One is a from_single_file shape issue and the other is an accelerate dispatch attribute error; unrelated failures." } ] }, "evaluator_result": { "accept": true, - "feedback": "The assessment is grounded in the packet and stays conservative. The 2772/7267 pairing is the only one that clearly shares the same concrete `train_controlnet.py` local-loading bug by title, while the other soft-edge rejections appropriately avoid overclaiming duplicate status from broad symptom similarity alone." + "feedback": "The evaluation is grounded in the packet and stays conservative. The two accepted pairs are reasonably supported as likely duplicates/near-duplicates, and the remaining pairs are appropriately rejected for being only loosely related or clearly different failure modes. The cluster summary also matches the evidence: mostly heterogeneous with only two plausible duplicate pairs." }, "evaluator_used": true, "retried": false, @@ -9892,7 +9802,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:10994", @@ -9910,6 +9820,7 @@ "issue:2163", "issue:2371", "issue:2480", + "issue:3112", "issue:3221", "issue:3450", "issue:3694", @@ -9922,12 +9833,12 @@ "issue:5025", "issue:5128", "issue:5226", + "issue:5314", "issue:5442", "issue:5633", "issue:579", "issue:5931", "issue:6574", - "issue:6791", "issue:692", "issue:7223", "issue:7239", @@ -9935,7 +9846,6 @@ "issue:7483", "issue:7708", "issue:7871", - "issue:8659", "issue:9343", "issue:9525", "issue:9803", @@ -9944,6 +9854,7 @@ "issue:9971" ], "soft_pairs": [ + "issue:3112|issue:5314", "issue:12195|issue:12666", "issue:1013|issue:1538", "issue:2371|issue:2480", @@ -9966,187 +9877,186 @@ "issue:9343|issue:9525", "issue:1614|issue:993", "issue:13277|issue:13319", - "issue:2163|issue:3694", - "issue:6791|issue:8659" + "issue:2163|issue:3694" ], - "prepared_review_unit_hash": "288343a31a244270d462d2ea8d4d26be16ea93cc94abac4086d205d6b96b2006", + "prepared_review_unit_hash": "964a7151bb94f18a804812e8aaa39c3bb98644817efdda03b912b21b9665ed7b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34034, - "estimated_input_tokens": 8509, - "estimated_eval_tokens": 17274 + "serialized_chars": 33985, + "estimated_input_tokens": 8497, + "estimated_eval_tokens": 17250 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is mostly a grab-bag of unrelated issues across training, loading, precision, and pipeline compatibility. Only the SDXL LoRA-to-Diffusers conversion script pair looks like the same underlying bug; the rest are too different to merge as duplicates.", - "confidence": 0.67, - "canonical_issue_reason": "Issue 7483 is the clearest representative of the only credible duplicate pair (LoRA conversion script failures on SDXL), and it is more specific than 4616 about the failing model context.", + "summary": "Most items are unrelated diffusers bugs/feature requests; only one soft pair looks like a true duplicate around the SDXL LoRA-to-Diffusers conversion script. The rest are too broad, different code paths, or only share a subsystem name.", + "confidence": 0.84, + "canonical_issue_reason": "issue:7483 is the better canonical issue for the accepted duplicate pair because it is more specific about the failing SDXL 1.0 base-model conversion path, while issue:4616 is broader and less explicit.", "canonical_pr_reason": null, - "best_issue_reason": "7483 is the best issue to represent the cluster only because it matches the one true near-duplicate subgroup; there is no single coherent cluster-wide bug beyond that.", + "best_issue_reason": "issue:7483 is the strongest representative issue in this set: it clearly states the broken script and the SDXL 1.0 base-model condition, making it easier to anchor discussion and deduping.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3112", + "right": "issue:5314", + "accept": false, + "reason": "Both concern ControlNet/inpainting, but one is a multi-controlnet request and the other is reference inpainting; different change requests, not the same bug." + }, { "left": "issue:12195", "right": "issue:12666", "accept": false, - "reason": "Different failures: one is a PyTorch API incompatibility in AutoencoderKL, the other is a missing pipeline in a specific Diffusers release." + "reason": "Completely different problems: an AutoencoderKL custom_op compatibility error versus a missing Kandinsky video pipeline release feature." }, { "left": "issue:1013", "right": "issue:1538", "accept": false, - "reason": "Same pipeline family, but the symptoms and reported triggers differ: Diffusers version compatibility vs. a specific base model problem." + "reason": "Same pipeline family, but the failures are different: one is a version-compatibility issue and the other is model-specific compatibility with stable-diffusion-2-base." }, { "left": "issue:2371", "right": "issue:2480", "accept": false, - "reason": "Both involve Dreambooth, but one is about generated objects missing from output while the other is checkpoint directory structure." + "reason": "Different Dreambooth output/checkpoint problems; one is about generated objects not appearing, the other about checkpoint directory layout." }, { "left": "issue:4708", "right": "issue:5025", "accept": false, - "reason": "Both mention import problems, but 5025 is specifically about randn_tensor; 4708 is too generic to treat as the same bug." + "reason": "Both are import-related, but one is a generic diffusers.utils import error and the other is specifically missing randn_tensor; not enough evidence they share the same root cause." }, { "left": "issue:9803", "right": "issue:9914", "accept": false, - "reason": "Both relate to Flux LoRA loading, but 9914 is a specific Xlabs-trained LoRA conversion/loading case and not clearly the same defect as the broader loading failure." + "reason": "Both mention Flux LoRA loading, but the titles point to different failure modes and Xlabs-specific loading behavior; too broad to treat as the same concrete bug." }, { "left": "issue:1181", "right": "issue:692", "accept": false, - "reason": "One is a request for an example, the other is a training-vs-fine-tuning clarification; they are not the same underlying issue." + "reason": "A training-from-scratch issue and a request for a fine-tuning example are not the same underlying bug or change." }, { "left": "issue:4480", "right": "issue:5931", "accept": false, - "reason": "Different bug types: an MPS fp16 kernel crash versus nondeterministic generation." + "reason": "Different symptoms and likely different root causes: MPS kernel crash with fp16 versus nondeterministic generation." }, { "left": "issue:10994", "right": "issue:11045", "accept": false, - "reason": "Both are Flux Dreambooth LoRA issues, but one crashes at batch size >1 while the other crashes when loading a specific model; different code paths." + "reason": "Both involve train_dreambooth_lora_flux, but one crashes with batch size > 1 during training while the other crashes when loading Flux Schnell 1; not the same code-path problem." }, { "left": "issue:4566", "right": "issue:7239", "accept": false, - "reason": "Both are SDXL LoRA training issues, but checkpoint resume failure and tensor shape mismatch are distinct problems." + "reason": "Checkpoint resume failure and SDXL LoRA shape-mismatch error are distinct issues." }, { "left": "issue:11127", "right": "issue:9971", "accept": false, - "reason": "One is about loading a single-file Flux model, the other about a scheduler not working on Flux; different functionality." + "reason": "Both are Flux-related, but one is a QwenImage single-file loading issue and the other is a scheduler issue; different concrete bugs." }, { "left": "issue:5442", "right": "issue:7243", "accept": false, - "reason": "These are unrelated feature requests for different pipelines/models." + "reason": "These are separate model/pipeline feature requests (ScaleCrafter vs ResAdapter), not duplicates." }, { "left": "issue:4724", "right": "issue:6574", "accept": false, - "reason": "Different pipelines and failure modes: SDXL img2img behavior versus an SVD warning/precision issue." + "reason": "An SDXL img2img correctness issue and an SVD pipeline warning are unrelated." }, { "left": "issue:3221", "right": "issue:3450", "accept": false, - "reason": "Different code paths: attention processor loading vs. from_ckpt conversion support." + "reason": "Different loading APIs and different failure contexts; only the general theme of pipeline loading overlaps." }, { "left": "issue:579", "right": "issue:7708", "accept": false, - "reason": "Both involve missing config files, but in different loaders, models, and error contexts." + "reason": "Both mention missing config.json, but they target different loading workflows and model types; not clearly the same bug." }, { "left": "issue:4616", "right": "issue:7483", "accept": true, - "reason": "Both report the same SDXL LoRA-to-Diffusers conversion script failing on SDXL base-model use; these look like the same underlying script bug." + "reason": "Both describe the SDXL LoRA-to-Diffusers conversion script failing for SDXL-based models; same concrete bug/change with closely matching scope." }, { "left": "issue:5128", "right": "issue:7871", "accept": false, - "reason": "One is a single-file safetensors load error, the other is a blockwise-scale issue with a specific LoRA file." + "reason": "A single-file loading error and a blockwise-scale LoRA issue are different problems." }, { "left": "issue:1214", "right": "issue:5226", "accept": false, - "reason": "Half-precision CLIPTextModel behavior and Flux adapter LoRA loading are unrelated." + "reason": "Half-precision CLIPTextModel behavior and SDXL adapter LoRA loading are unrelated." }, { "left": "issue:1962", "right": "issue:7223", "accept": false, - "reason": "One is a user asking about video generation; the other is a proposal to add a specific video-generation model." + "reason": "A generic video generation question and a request to add Latte are not duplicates." }, { "left": "issue:4210", "right": "issue:5633", "accept": false, - "reason": "UNet attention_mask usage and a transformer_temporal.py bug are different components and different issues." + "reason": "UNet attention_mask usage and a transformer_temporal bug are different code paths and different bugs." }, { "left": "issue:9343", "right": "issue:9525", "accept": false, - "reason": "Both are Flux-related, but one is a model-loading flag incompatibility and the other is lora_scale having no effect." + "reason": "Both are Flux-related, but one is a loading/size mismatch error and the other is lora_scale not taking effect; different defects." }, { "left": "issue:1614", "right": "issue:993", "accept": false, - "reason": "Both mention precision, but one is a black-image autocast crash and the other is a dtype mismatch in fp16; not the same concrete bug." + "reason": "Both are precision-related, but black-image output on autocast and generic fp16 dtype mismatch are not the same concrete failure." }, { "left": "issue:13277", "right": "issue:13319", "accept": false, - "reason": "Shared Ulysses SP mention, but one fails in batch-input pipeline usage and the other in backward pass; different code paths." + "reason": "Same Ulysses SP topic, but one fails with batch inputs in the pipeline while the other fails in backward pass; different bugs." }, { "left": "issue:2163", "right": "issue:3694", "accept": false, - "reason": "Both are example-script problems, but one is a UNet dtype mismatch and the other is missing model/config files." - }, - { - "left": "issue:6791", - "right": "issue:8659", - "accept": false, - "reason": "Same script family, but one says the script can't run generally while the other focuses on checkpoint resume and inference loading; not clearly the same defect." + "reason": "UNet dtype mismatch during training and missing model/config files in the example are unrelated failures." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet metadata and stays conservative. The accepted 4616/7483 pair is the only clearly overlapping bug description by title, and the rejected soft edges are all defensible as distinct enough from the available evidence." + "feedback": "The analyst output is grounded in the packet and stays conservative on the soft-edge pairs. The one accepted duplicate pair (issue:4616 / issue:7483) is plausibly the same SDXL LoRA conversion-script bug, and the rest are reasonably rejected as different failure modes, feature requests, or only loosely related subsystem overlaps. The summary does not overstate evidence." }, "evaluator_used": true, "retried": false, @@ -10165,7 +10075,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10169", "issue:10591", @@ -10195,6 +10105,7 @@ "issue:6415", "issue:6548", "issue:6741", + "issue:6791", "issue:6914", "issue:7057", "issue:7185", @@ -10203,10 +10114,9 @@ "issue:7589", "issue:8236", "issue:8307", - "issue:8534", "issue:861", "issue:8613", - "issue:8708", + "issue:8659", "issue:8839", "issue:8909", "issue:9141", @@ -10217,6 +10127,7 @@ "issue:9857" ], "soft_pairs": [ + "issue:6791|issue:8659", "issue:5963|issue:6028", "issue:4593|issue:4697", "issue:6383|issue:7185", @@ -10241,199 +10152,198 @@ "issue:3325|issue:3884", "issue:11417|issue:4492", "issue:2459|issue:7057", - "issue:8307|issue:9141", - "issue:8534|issue:8708" + "issue:8307|issue:9141" ], - "prepared_review_unit_hash": "966490c542651aeb8a3b5f57448c152f626c680d23b0f2b86f5d3631e1ade51f", + "prepared_review_unit_hash": "935735cde9dff9cc7f164243105317ba0189630ce8f92a638882fd9f74a87d28", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 26, - "serialized_chars": 34795, - "estimated_input_tokens": 8699, - "estimated_eval_tokens": 17654 + "serialized_chars": 34775, + "estimated_input_tokens": 8694, + "estimated_eval_tokens": 17644 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly unrelated issues grouped by superficial similarity (errors, OOMs, LoRA, Flux, SD3). The only clear duplicate-like pair is the multi-GPU LR scheduler step-count bug.", - "confidence": 0.83, - "canonical_issue_reason": "issue:6137 is the clearest, most general description of the shared bug: incorrect LR scheduler step counting under multi-GPU parallelism. Its pair issue:8236 is a narrower example of the same problem.", + "summary": "The cluster is mostly heterogeneous: many unrelated bug reports across different models, training scripts, and loading paths. Only one clear duplicate pair stands out: 6137 and 8236, both about incorrect LR scheduler step-count calculation in multi-GPU training.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 6137 is the best canonical issue because 8236 is a near-duplicate of the same multi-GPU LR scheduler step-count bug.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6137 best represents the cluster\u2019s one true duplicate-style bug because it states the root scheduling issue more generally and precisely.", + "best_issue_reason": "6137 is the strongest representative of the only real duplicate thread in this set; the rest of the items are too diverse to share one underlying fix.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6791", + "right": "issue:8659", + "accept": false, + "reason": "Both mention SDXL training, but one is a generic can't-run issue and the other is checkpoint resume/load behavior; different failures and code paths." + }, { "left": "issue:5963", "right": "issue:6028", "accept": false, - "reason": "Both are Kandinsky 3.0 problems, but one is an input/embeds handling failure and the other is an OOM; different bugs." + "reason": "Same model family, but one is failing when passing embeds instead of prompts and the other is a CUDA OOM; not the same bug." }, { "left": "issue:4593", "right": "issue:4697", "accept": false, - "reason": "Both involve LoRA loading, but one is a rank-constraint error and the other is a specific post-0.20.0 loading regression; not the same concrete bug." + "reason": "Both are LoRA-loading problems, but they affect different scenarios and error conditions; not clearly the same underlying defect." }, { "left": "issue:6383", "right": "issue:7185", "accept": false, - "reason": "These are both general compatibility questions, but one is about multi-stage schedulers and the other about PyTorch version support; not duplicates." + "reason": "A scheduler feature question and a PyTorch version-compatibility question are not duplicate bug reports." }, { "left": "issue:6176", "right": "issue:8839", "accept": false, - "reason": "Both mention LoRA weights, but one is after DreamBooth training and the other is an SD3 LoRA weight error; too different to merge." + "reason": "Different LoRA issues on different models/scripts; one is loading weights after DreamBooth training, the other is an SD3 LoRA weight error." }, { "left": "issue:7513", "right": "issue:9548", "accept": false, - "reason": "Both are Flux/LoRA training-related, but one is SDXL DreamBooth OOM and the other is a Flux DreamBooth regression; different failure modes." + "reason": "Both involve FLUX/LoRA training, but the reported problems and scripts differ too much to be the same bug." }, { "left": "issue:3094", "right": "issue:4872", "accept": false, - "reason": "Both are OOM reports, but they concern different training scripts and contexts; same symptom, not same underlying bug." + "reason": "Both are OOM reports, but they concern different examples and model setups; likely separate memory issues." }, { "left": "issue:1214", "right": "issue:7589", "accept": false, - "reason": "Half-precision CLIPTextModel behavior is unrelated to GLIGEN not working." + "reason": "Half-precision CLIPTextModel failure is unrelated to GLIGEN layout-to-image behavior." }, { "left": "issue:9799", "right": "issue:9857", "accept": false, - "reason": "Both are tensor-size mismatch errors, but the titles point to different training paths and models; not enough to treat as the same bug." + "reason": "Both are tensor-size mismatch errors, but the titles point to different FLUX training paths and likely different root causes." }, { "left": "issue:10671", "right": "issue:9450", "accept": false, - "reason": "Different issues: one is DiffusionPipeline dtype/device access determinism, the other is FluxPipeline multi-GPU device placement." + "reason": "Both mention device/dtype issues, but one is DiffusionPipeline dtype/device access and the other is a multi-GPU tensor device mismatch; not the same bug." }, { "left": "issue:7057", "right": "issue:861", "accept": false, - "reason": "A model checkpoint not working is not the same as a ckpt-to-diffusers conversion failure." + "reason": "A broken checkpoint load is not the same as a conversion-from-ckpt problem." }, { "left": "issue:2132", "right": "issue:6741", "accept": false, - "reason": "Both are AttributeErrors in examples, but they refer to different missing attributes in different scripts." + "reason": "Different missing-attribute errors in different scripts: Accelerator.trackers vs Namespace.no_flip." }, { "left": "issue:3706", "right": "issue:7405", "accept": false, - "reason": "These are separate new-model announcements, not the same bug or change." + "reason": "These are model announcement/new-model issues, not duplicates of the same bug or change." }, { "left": "issue:4389", "right": "issue:9343", "accept": false, - "reason": "ControlNet loading and Flux loading with mismatched sizes are different model-loading problems." + "reason": "Both are model-loading reports, but ControlNet loading and FLUX low_cpu_mem_usage/ignore_mismatched_sizes failures are distinct." }, { "left": "issue:4697", "right": "issue:6176", "accept": false, - "reason": "Both involve LoRA loading, but the reported breakages are different enough that they do not clearly share one root cause." + "reason": "Both mention loading LoRA weights, but they are different scenarios with different symptoms and no clear shared code-path bug." }, { "left": "issue:6137", "right": "issue:8236", "accept": true, - "reason": "Both describe the same scheduler-step-count bug in multi-GPU training; 8236 is a narrower example of the same underlying issue." + "reason": "These describe the same bug: LR scheduler step-count is computed incorrectly in multi-GPU training, with 8236 giving a specific num_train_epochs case of 6137." }, { "left": "issue:10722", "right": "issue:9857", "accept": false, - "reason": "Both mention tensor-size mismatch during training, but the contexts differ and there is no clear shared code-path from the titles alone." + "reason": "Both are shape-mismatch reports, but they affect different training setups and do not clearly share one root cause." }, { "left": "issue:6415", "right": "issue:6914", "accept": false, - "reason": "IP-Adapter support limitations and a tuple/shape AttributeError from CPU offload are unrelated." + "reason": "Both involve IP-Adapter-FaceID, but one is about unsupported features and the other is an offload-related AttributeError; not the same defect." }, { "left": "issue:8613", "right": "issue:8909", "accept": false, - "reason": "OOM when using a caption column and problems saving text_encoder_ti are different training issues." + "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 output quality and RGBA image handling in prepare_latents are unrelated." + "reason": "Scheduler output quality and RGBA latent handling are different pipeline bugs." }, { "left": "issue:10591", "right": "issue:11314", "accept": false, - "reason": "Different training-script problems: one is an SD3 LoRA script issue, the other a Flux ControlNet script mistake." + "reason": "Different training scripts, different models, and different reported mistakes; not a duplicate bug." }, { "left": "issue:10169", "right": "issue:1976", "accept": false, - "reason": "Both mention missing config files, but one is generic and the other is a specific tokenizer/config.json path issue; not clearly the same bug." + "reason": "Both mention config.json, but 1976 is specifically about tokenizer/config.json lookup; 10169 is too generic to confirm the same bug." }, { "left": "issue:3325", "right": "issue:3884", "accept": false, - "reason": "Both are runtime errors in training, but one is CUDA invalid argument and the other is a generic text-to-image LoRA error." + "reason": "Different scripts and errors: DreamBooth CUDA invalid argument vs text-to-image LoRA failure." }, { "left": "issue:11417", "right": "issue:4492", "accept": false, - "reason": "Missing dtype on DistributedDataParallel and NameError for lowercase false are different programming errors." + "reason": "An AttributeError on DistributedDataParallel.dtype is unrelated to a lowercase boolean NameError." }, { "left": "issue:2459", "right": "issue:7057", "accept": false, - "reason": "An xformers memory-efficient attention issue in a LoRA script is unrelated to a checkpoint loading problem." + "reason": "xFormers attention not working in a training script is unrelated to a checkpoint load failure." }, { "left": "issue:8307", "right": "issue:9141", "accept": false, - "reason": "Missing StableCascadeUNet and missing FluxPipeline.from_single_file() are different API-availability issues." - }, - { - "left": "issue:8534", - "right": "issue:8708", - "accept": false, - "reason": "Both are SD3 training-script issues, but one is wrong logit-normal weighting and the other is a missing vae.config.shift_factor; different bugs." + "reason": "Missing StableCascadeUNet API and missing FluxPipeline.from_single_file are different missing-symbol issues." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: the only accepted pair, issue:6137 \u2194 issue:8236, is well-supported by the titles about the same LR scheduler step-count bug under multi-GPU training. The remaining soft-edge rejections are appropriately conservative because they rely on superficial similarity only and do not overclaim shared root cause evidence." + "feedback": "Grounded and suitably conservative. The summary stays within the packet evidence, and the only affirmative soft-edge pair (6137/8236) is well-supported by the closely matching LR-scheduler/multi-GPU titles. The other pairs are rejected cautiously rather than overstated." }, "evaluator_used": true, "retried": false, @@ -10452,7 +10362,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10128", "issue:10381", @@ -10471,9 +10381,7 @@ "issue:2089", "issue:2299", "issue:2857", - "issue:3032", "issue:3325", - "issue:3497", "issue:3706", "issue:3764", "issue:4000", @@ -10486,7 +10394,6 @@ "issue:4736", "issue:4969", "issue:5578", - "issue:5919", "issue:5934", "issue:6444", "issue:6794", @@ -10497,13 +10404,16 @@ "issue:7854", "issue:8414", "issue:8500", + "issue:8534", "issue:8557", "issue:8614", + "issue:8708", "issue:8833", "issue:8939", "issue:9421" ], "soft_pairs": [ + "issue:8534|issue:8708", "issue:6444|issue:7728", "issue:8500|issue:8557", "issue:1398|issue:1552", @@ -10526,198 +10436,187 @@ "issue:1398|issue:1614", "issue:4566|issue:7133", "issue:12657|issue:13249", - "issue:4229|issue:7757", - "issue:3032|issue:3497", - "issue:3497|issue:5919" + "issue:4229|issue:7757" ], - "prepared_review_unit_hash": "00021578414f3cc04c550e40b5eef149bd3d779357e1a0397e9cc8b3e2055362", + "prepared_review_unit_hash": "df4e2576b5d9e3761534940afdb53d42c41937e94e7a389001aa04b7a4f13a9d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 25, - "serialized_chars": 34988, - "estimated_input_tokens": 8747, - "estimated_eval_tokens": 17750 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34171, + "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 grab-bag of unrelated Diffusers support/runtime/model-loading issues. Only two soft pairs look like true duplicates: SD3 token-limit training reports and SDXL LoRA checkpoint-resume mismatch reports.", - "confidence": 0.91, - "canonical_issue_reason": "Issue #4736 is the strongest standalone bug report in the set: it is detailed, reproducible, and has the highest discussion/reference activity among the concrete training-error issues.", + "summary": "This cluster is a heterogeneous mix of unrelated issues (feature requests, model-support questions, file-loading/import errors, and distinct training/runtime bugs). I found no convincing duplicate pairs, and there are no PRs in the cluster.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the items span multiple unrelated problem types and code paths, so collapsing them into one issue would be incorrect.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #4736 is the best overall representative issue here because it is a substantive, actionable bug report rather than a vague support question or a narrow one-off loading error.", + "best_issue_reason": "issue:10381 is the most detailed, diagnosis-rich report, so it is the best representative anchor if one must pick an issue.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8534", + "right": "issue:8708", + "accept": false, + "reason": "Both mention SD3 training, but one is about wrong logit-normal weighting and the other about a missing `shift_factor`; different bugs." + }, { "left": "issue:6444", "right": "issue:7728", "accept": false, - "reason": "Both involve SDXL LoRA/advanced training, but the failures are different (checkpointing peft_config AttributeError vs generic Accelerate error) and do not read like the same bug." + "reason": "Both involve SDXL LoRA training, but one is a `peft_config` checkpointing issue and the other is an Accelerate runtime error; not the same concrete failure." }, { "left": "issue:8500", "right": "issue:8557", - "accept": true, - "reason": "Both report the same SD3 training token-limit problem; the titles and scope align closely enough to be duplicate reports." + "accept": false, + "reason": "Both mention token limits, but one is a general question and the other is a training-specific SD3 report; not enough to treat as one bug." }, { "left": "issue:1398", "right": "issue:1552", "accept": false, - "reason": "These are different compatibility problems: MPS/Apple Silicon support versus attention slicing on SD2." + "reason": "Different problems: Apple Silicon/MPS support for SD2 versus `enable_attention_slicing()` incompatibility." }, { "left": "issue:3706", "right": "issue:8414", "accept": false, - "reason": "Different model launches entirely (Wuerstchen vs ConsistencyTTA); same broad 'new model' theme is not enough." + "reason": "Both are model-related announcements, but Wuerstchen and ConsistencyTTA are different models/changes." }, { "left": "issue:10381", "right": "issue:10798", "accept": false, - "reason": "Both mention Flux quantization, but one is a Flux+LoRA inference error and the other is a Bitsandbytes/device-combination bug; not the same concrete failure." + "reason": "Both are Flux quantization/LoRA reports, but they involve different backends and symptoms (`Quanto`/Zero GPU spaces vs `bitsandbytes` device-combination bug)." }, { "left": "issue:1166", "right": "issue:1475", "accept": false, - "reason": "Textual inversion on TPU hanging while saving is unrelated to training with two class image sets." + "reason": "Textual inversion appears in both, but one is a TPU save hang and the other is a multi-class DreamBooth/textual inversion training question." }, { "left": "issue:3325", "right": "issue:4701", "accept": false, - "reason": "Different code paths and errors: DreamBooth CUDA invalid-argument versus AutoencoderKL float32 gradient CUDA error." + "reason": "Different failures: DreamBooth CUDA invalid argument versus AutoencoderKL differentiation CUDA error." }, { "left": "issue:10128", "right": "issue:2857", "accept": false, - "reason": "Both are feature requests asking for support, but they request different models/features." + "reason": "These are unrelated feature requests for different models/capabilities (`fastercache` vs UniDiffuser)." }, { "left": "issue:11396", "right": "issue:4453", "accept": false, - "reason": "Both are LoRA conversion questions, but for different source/target formats and different ecosystems; not the same underlying issue." + "reason": "Both ask about LoRA conversion, but they target different source models and output ecosystems (hidream/comfyui vs SDXL/AUTO1111)." }, { "left": "issue:4648", "right": "issue:5578", "accept": false, - "reason": "Both are model-loading OSErrors, but they concern different missing files and different loading contexts." + "reason": "Both are missing-file load errors, but they refer to different missing files and different loading contexts." }, { "left": "issue:4708", "right": "issue:4969", "accept": false, - "reason": "Both are import failures, but they are about different symbols/modules and likely unrelated." + "reason": "Both are import errors, but they involve different missing symbols/modules and likely different root causes." }, { "left": "issue:3764", "right": "issue:5934", "accept": false, - "reason": "Both mention torch.compile, but the reported failures are different and not clearly the same bug." + "reason": "Both mention `torch.compile`, but the reported failures are different and not clearly the same code-path bug." }, { "left": "issue:10928", "right": "issue:8939", "accept": false, - "reason": "Different loading failures: missing diffusion_pytorch_model.fp16.bin versus tokenizer loading for SD3." + "reason": "Different loading issues: missing `diffusion_pytorch_model.fp16.bin` versus tokenizer loading failure for SD3 medium." }, { "left": "issue:6794", "right": "issue:7681", "accept": false, - "reason": "Both are import errors, but one is a training_utils symbol issue and the other is an environment/OpenSSL library failure." + "reason": "Both are import-time errors, but the missing symbol and dependency failure are unrelated." }, { "left": "issue:8614", "right": "issue:8833", "accept": false, - "reason": "Both mention missing config.json, but they are for different model types and likely separate packaging/load issues." + "reason": "Both mention `config.json`, but they concern different artifacts/models and are not the same loading bug." }, { "left": "issue:11117", "right": "issue:7854", "accept": false, - "reason": "Both are dtype mismatch runtime errors, but they appear in different pipelines and with different exact failure points." + "reason": "Both are dtype mismatch runtime errors, but they affect different code paths and error conditions." }, { "left": "issue:2299", "right": "issue:4000", "accept": false, - "reason": "These are both about checkpoints/conversion, but one is a support question and the other is a specific ckpt-to-diffusers conversion task." + "reason": "One asks about fine-tuned checkpoints in Diffusers; the other is about converting an SD2 checkpoint to Diffusers format. Related topic, not the same issue." }, { "left": "issue:1976", "right": "issue:9421", "accept": false, - "reason": "Both are model access/loading problems, but they concern different repositories and different missing assets." + "reason": "Both are model access/load errors, but they refer to different models and different missing-path situations." }, { "left": "issue:2089", "right": "issue:4736", "accept": false, - "reason": "Both are DreamBooth/text-to-image training failures with CUDA OOM in the mix, but the scripts and error signatures differ." + "reason": "Both mention training and OOM, but one is DreamBooth on AltDiffusion and the other is SDXL LoRA with an additional invalid-value symptom." }, { "left": "issue:1398", "right": "issue:1614", "accept": false, - "reason": "Same SD2/Apple-Silicon vicinity, but one is general MPS support and the other is black output with autocast; not clearly the same bug." + "reason": "Different SD2/MPS versus autocast black-image behavior; not the same bug." }, { "left": "issue:4566", "right": "issue:7133", - "accept": true, - "reason": "Both report SDXL LoRA checkpoint resume failures caused by text-encoder state/size mismatch when resuming from a checkpoint." + "accept": false, + "reason": "Both are checkpoint-resume problems for SDXL LoRA, but one is a generic resume failure and the other is a text-encoder size mismatch; too different to merge." }, { "left": "issue:12657", "right": "issue:13249", "accept": false, - "reason": "Different models and different failure modes; only a broad 'stopped working' similarity." + "reason": "Different models and failure reports: Qwen Image Edit quantization versus Z-Image LoRA support." }, { "left": "issue:4229", "right": "issue:7757", "accept": false, - "reason": "Different scripts and different issues: multi-GPU training error versus multi-GPU OOM." - }, - { - "left": "issue:3032", - "right": "issue:3497", - "accept": false, - "reason": "Different missing API attributes on different pipeline classes; not the same underlying bug." - }, - { - "left": "issue:3497", - "right": "issue:5919", - "accept": false, - "reason": "A missing from_ckpt method and a missing set_lora_layer method are unrelated failures." + "reason": "Both are multi-GPU training issues, but they involve different scripts and different error classes (accelerated training error vs OOM)." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet, and the two accepted soft pairs are conservative and plausible duplicates (#8500/#8557 and #4566/#7133). The remaining pair judgments stay cautious and do not overclaim beyond the evidence provided." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -10732,21 +10631,22 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10453", "issue:10650", "issue:10760", "issue:11417", "issue:11839", - "issue:12009", "issue:1214", "issue:1925", "issue:2091", + "issue:3032", "issue:3061", "issue:3325", "issue:3382", "issue:3454", + "issue:3497", "issue:3774", "issue:4213", "issue:4325", @@ -10759,6 +10659,7 @@ "issue:5811", "issue:5884", "issue:5897", + "issue:5919", "issue:6096", "issue:6131", "issue:6159", @@ -10774,16 +10675,15 @@ "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:3032|issue:3497", + "issue:3497|issue:5919", "issue:4325|issue:6492", "issue:5811|issue:5884", "issue:3325|issue:7619", @@ -10806,195 +10706,196 @@ "issue:9497|issue:9799", "issue:5455|issue:5897", "issue:10760|issue:7681", - "issue:7418|issue:7848", - "issue:8871|issue:9548", - "issue:12009|issue:9208" + "issue:7418|issue:7848" ], - "prepared_review_unit_hash": "bc55ddf53b56ff5edb778c7a748964f2ec886125a6cee8c286b441907ea0cb0f", + "prepared_review_unit_hash": "766a327c71b41c64442ec4085daf13dcfeb6314509edb5a2fd6149b59050b7b6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 35013, - "estimated_input_tokens": 8754, - "estimated_eval_tokens": 17764 + "serialized_chars": 34384, + "estimated_input_tokens": 8596, + "estimated_eval_tokens": 17448 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are not duplicates of one another; they are mostly unrelated Diffusers bugs across different pipelines, model families, and failure modes. The soft-similarity scores are driven by generic error wording, not a shared underlying defect.", - "confidence": 0.96, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous: many unrelated training/inference/import/runtime bug reports with only one clear duplicate-like pair around `caption_column` validation. Most soft matches are superficial (same pipeline, same framework, or same broad error class) rather than the same underlying bug.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 6821 is the clearest, older report of the `caption_column` validation failure; 7735 appears to be the same bug phrased differently.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "6821 is the strongest representative issue in the only near-duplicate pair and has the most explicit, concise failure description.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3032", + "right": "issue:3497", + "accept": false, + "reason": "Both are attribute errors on different pipeline APIs (`from_pretrained` vs `from_ckpt`); not the same bug." + }, + { + "left": "issue:3497", + "right": "issue:5919", + "accept": false, + "reason": "Different missing attributes (`from_ckpt` vs `set_lora_layer`) and different code paths." + }, { "left": "issue:4325", "right": "issue:6492", "accept": false, - "reason": "Both mention black/invalid image output, but one is SDXL 1.0 rendering while the other is generic image generation; no clear shared code-path or same bug." + "reason": "Both mention black images, but one is an SDXL runtime warning/cast issue and the other is a broad symptom report; too vague to treat as the same bug." }, { "left": "issue:5811", "right": "issue:5884", "accept": false, - "reason": "One is about adding callback_on_step_end to pipelines; the other is broad IP-Adapter support across ControlNet/T2I. Same ecosystem, different change requests." + "reason": "One is about callback arguments, the other about IP-Adapter support; distinct feature changes." }, { "left": "issue:3325", "right": "issue:7619", "accept": false, - "reason": "Both are training/runtime errors, but one is CUDA invalid argument in DreamBooth and the other is a channel mismatch in train_dreambooth.py; different failures." + "reason": "Both involve `train_dreambooth.py`, but the reported failures are different (`CUDA invalid argument` vs channel mismatch)." }, { "left": "issue:1925", "right": "issue:964", "accept": false, - "reason": "Both concern inpainting, but one is half precision on Stable Diffusion 2 inpainting and the other is a generic inpainting example not working; insufficient evidence of the same bug." + "reason": "Half-precision inpainting vs generic inpainting failure; not clearly the same issue." }, { "left": "issue:6226", "right": "issue:6446", "accept": false, - "reason": "These are unrelated loading issues: one is a conversion script breaking webui loading, the other is Stable Diffusion 2-1 not loading on Colab minimal loading." + "reason": "Both are loading problems, but the targets and failure modes differ substantially." }, { "left": "issue:11417", "right": "issue:6351", "accept": false, - "reason": "Both mention distributed wrappers, but one is missing dtype on DistributedDataParallel and the other is missing disable_adapters; different attribute access bugs." + "reason": "Both are DDP attribute errors, but they involve different missing attributes and likely different fixes." }, { "left": "issue:5314", "right": "issue:5474", "accept": false, - "reason": "ControlNet reference inpainting vs a new Stable Diffusion Reference Only pipeline request; similar theme but not the same bug/change." + "reason": "Related ControlNet/reference themes, but one is a pipeline request and the other is a different reference-only concept." }, { "left": "issue:3454", "right": "issue:5502", "accept": false, - "reason": "Both are training script compatibility issues, but one is DreamBooth LoRA on latest and the other is custom diffusion fp16 support; not the same defect." + "reason": "Different training scripts and different compatibility problems; not the same bug." }, { "left": "issue:5465", "right": "issue:6159", "accept": false, - "reason": "Both are pipeline argument problems, but one is DiffEdit inpaint_strength handling and the other is StableDiffusionXLControlNetXSPipeline lacking denoising_end; different APIs." + "reason": "Different pipelines and different unsupported parameters (`inpaint_strength` vs `denoising_end`)." }, { "left": "issue:1214", "right": "issue:4213", "accept": false, - "reason": "Half precision/import issues in unrelated components: CLIPTextModel fp16 vs SDXL from_single_file requiring accelerate; different code paths." + "reason": "Half-precision CLIP bug vs single-file SDXL loading without accelerate; unrelated." }, { "left": "issue:6131", "right": "issue:6561", "accept": false, - "reason": "Both are IP-Adapter-related loading problems, but one is IP adapter plus not working and the other is missing config.json for h94/IP-Adapter; different failure modes." + "reason": "One is an IP-Adapter support failure, the other is a missing model file/config error." }, { "left": "issue:2091", "right": "issue:3382", "accept": false, - "reason": "Both involve multi-GPU training, but one is resuming from checkpoint and the other is OOM on train_text_to_image.py; not the same issue." + "reason": "Both concern multi-GPU training, but one is checkpoint resume and the other is OOM behavior." }, { "left": "issue:10453", "right": "issue:9643", "accept": false, - "reason": "Hunyuan Video batch-size limitation and Flux multiple ControlNets are unrelated model capabilities." + "reason": "Different model families and different limitations (`batch size > 1` vs multiple ControlNets)." }, { "left": "issue:4375", "right": "issue:6096", "accept": false, - "reason": "Both mention torch.compile crashes, but one is a generic inference crash and the other is SVD-specific DynamicOutputShapeException; not the same bug." + "reason": "Both involve `torch.compile`, but the model-specific failure modes differ; not enough to call them the same bug." }, { "left": "issue:10650", "right": "issue:11839", "accept": false, - "reason": "Both are invalid shape errors, but they refer to different models/pipelines (Lumina vs FluxKontext GGUF) and likely different tensor shape assumptions." + "reason": "Both are shape/input-size errors, but on different models and different loading paths." }, { "left": "issue:2091", "right": "issue:3774", "accept": false, - "reason": "Both are training scripts, but one is checkpoint resume on multi-GPU and the other is zero3 memory savings not working; different symptoms and root causes." + "reason": "Different multi-GPU training issues: checkpoint resume vs zero3 memory savings." }, { "left": "issue:9497", "right": "issue:9727", "accept": false, - "reason": "Both are FLUX DreamBooth training issues, but one is mat2 must be a matrix and the other is multi-GPU save problem; not the same concrete failure." + "reason": "Both are Flux Dreambooth reports, but the errors are different (`mat2` shape vs save problem on multigpu)." }, { "left": "issue:3061", "right": "issue:6548", "accept": false, - "reason": "Reproducibility in Stable Diffusion vs RGBA image misclassified as latents in img2img; different bugs." + "reason": "Reproducibility issue vs RGBA/image-as-latents bug; not the same underlying defect." }, { "left": "issue:6821", "right": "issue:7735", - "accept": false, - "reason": "These are both caption_column validation errors, but one says value 'text' needs to be one of image and the other says caption_column text not found; related but not the same exact issue." + "accept": true, + "reason": "Near-identical `caption_column` validation failure in the training CLI; same underlying bug and likely duplicate report." }, { "left": "issue:9497", "right": "issue:9799", "accept": false, - "reason": "Both are Flux training/runtime tensor-shape problems, but the error tensors and context differ; not enough evidence for one underlying defect." + "reason": "Both are Flux training errors, but the tensor-shape failures are different." }, { "left": "issue:5455", "right": "issue:5897", "accept": false, - "reason": "Both are training notebook/script failures, but one is a subprocess error in dreambooth+lora notebook and the other is a device mismatch in text-to-image LoRA; different code paths." + "reason": "Both are LoRA training failures, but they are different scripts and different error types." }, { "left": "issue:10760", "right": "issue:7681", "accept": false, - "reason": "Import-time failures, but one is a missing legacy pipeline attribute and the other is an OpenSSL/lib X509 flag import error; unrelated causes." + "reason": "An import/export attribute bug vs an environment/OpenSSL import failure; unrelated." }, { "left": "issue:7418", "right": "issue:7848", "accept": false, - "reason": "A bug in a community upscale script vs incorrect decoding in lpw_stable_diffusion_xl; different files and behaviors." - }, - { - "left": "issue:8871", - "right": "issue:9548", - "accept": false, - "reason": "Both are LoRA/Flux training problems, but one is FP16 unscale error and the other is a multi-GPU save issue; not the same bug." - }, - { - "left": "issue:12009", - "right": "issue:9208", - "accept": false, - "reason": "Both are from_single_file/loading issues with control-like models, but one is Wan2.2 GGUF meta-tensor copy failure and the other is controlnet model loading support; different model families and failures." + "reason": "Same community example file family, but one is a code bug and the other is a decoding issue; not clearly the same bug." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: it correctly identifies the only clear duplicate-like pair (6821/7735) and treats the rest conservatively as superficially similar rather than the same bug. The soft-edge rejections are cautious and supported by the titles/body metadata. No overstatement noted." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -11009,11 +10910,12 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1082", "issue:11247", "issue:11410", + "issue:12009", "issue:12587", "issue:1260", "issue:12699", @@ -11027,10 +10929,8 @@ "issue:2437", "issue:2578", "issue:281", - "issue:3061", "issue:3152", "issue:4213", - "issue:4483", "issue:4566", "issue:4911", "issue:4969", @@ -11051,15 +10951,19 @@ "issue:7147", "issue:725", "issue:7757", - "issue:8686", + "issue:8871", "issue:8939", "issue:8956", "issue:9051", + "issue:9208", "issue:9527", + "issue:9548", "issue:9667", "issue:9841" ], "soft_pairs": [ + "issue:8871|issue:9548", + "issue:12009|issue:9208", "issue:1672|issue:2299", "issue:3152|issue:4969", "issue:1260|issue:7147", @@ -11081,189 +10985,190 @@ "issue:11410|issue:9667", "issue:281|issue:725", "issue:8939|issue:8956", - "issue:13073|issue:9051", - "issue:3061|issue:4483", - "issue:6964|issue:8686" + "issue:13073|issue:9051" ], - "prepared_review_unit_hash": "fd99d15f6d3508c1c6e6c5af9e00f5202ed36bd812da6a18df2b0419fb824159", + "prepared_review_unit_hash": "13c5d6ef4dbf97229d641e2f2f6b6d9660dc32031f0ca176be8da301e28ffce2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33950, - "estimated_input_tokens": 8488, - "estimated_eval_tokens": 17232 + "serialized_chars": 34565, + "estimated_input_tokens": 8642, + "estimated_eval_tokens": 17540 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This looks like a noisy set of mostly unrelated Diffusers issues, with many soft-pair matches driven by surface-level title similarity rather than the same concrete bug. The only strong thematic center is ControlNet-related work, but even those items mostly differ by model, pipeline, or failure mode, so the soft edges should be rejected.", - "confidence": 0.84, - "canonical_issue_reason": "issue 2331 is the broadest and most central ControlNet pipeline thread in the set, with the most discussion and inbound references among the ControlNet-related items.", + "summary": "This cluster is mostly a loose set of unrelated training/loading bugs. Only the Accelerate/model-loading feature requests (281 and 725) look like the same underlying change; the rest are too contextually different to merge as duplicates.", + "confidence": 0.63, + "canonical_issue_reason": "Issue 725 is the clearest concrete version of the shared model-loading optimization request and overlaps directly with issue 281\u2019s ask to natively use Accelerate to reduce memory during model loading.", "canonical_pr_reason": null, - "best_issue_reason": "issue 2331 is the best representative issue for the cluster\u2019s nearest shared theme because it is the foundational ControlNet pipeline request and the broadest umbrella among the related items.", + "best_issue_reason": "Issue 725 is the strongest canonical candidate because it is specific, actionable, and the only near-duplicate pair in the set clearly points to the same feature area.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8871", + "right": "issue:9548", + "accept": false, + "reason": "Both mention LoRA/Flux training, but the reported failures and scopes differ; this is not the same concrete bug." + }, + { + "left": "issue:12009", + "right": "issue:9208", + "accept": false, + "reason": "Both are from_single_file loading failures, but they affect different model families and fail for different reasons." + }, { "left": "issue:1672", "right": "issue:2299", "accept": false, - "reason": "Different problems: checkpoint conversion image sizing vs fine-tuned checkpoint support in Diffusers." + "reason": "Both relate to checkpoint conversion/loading, but one is about wrong output image size and the other is about fast-stable-diffusion checkpoint support." }, { "left": "issue:3152", "right": "issue:4969", "accept": false, - "reason": "Both are import errors, but they concern unrelated packages and symbols with no shared code path." + "reason": "Generic import errors, but they refer to different missing symbols and unrelated code paths." }, { "left": "issue:1260", "right": "issue:7147", "accept": false, - "reason": "Separate missing-import failures for different classes; not the same bug." + "reason": "Both are import-name failures, but they concern different pipeline classes and do not indicate the same bug." }, { "left": "issue:12699", "right": "issue:12720", "accept": false, - "reason": "Both mention wan 2.2, but one is video quality degradation and the other is quantization after LoRA loading." + "reason": "One is a video quality regression over repeated prompts, the other is a quantization-after-LoRA question; different problems." }, { "left": "issue:4911", "right": "issue:5128", "accept": false, - "reason": "Both are from_single_file loading issues, but they involve different pipelines and different failure conditions." + "reason": "Both involve from_single_file, but they concern different model types and different missing/invalid loading data." }, { "left": "issue:2578", "right": "issue:4213", "accept": false, - "reason": "Editable install failure and missing accelerate dependency are unrelated." + "reason": "Editable install trouble is unrelated to SDXL from_single_file needing accelerate." }, { "left": "issue:6353", "right": "issue:7146", "accept": false, - "reason": "One is a training example error and the other is an OOM during SDXL fine-tuning." + "reason": "Training-example error vs CUDA OOM; same broad area, but not the same underlying bug." }, { "left": "issue:6154", "right": "issue:6967", "accept": false, - "reason": "Different training bugs: M2 Mac training failure vs prior-preservation shape mismatch." + "reason": "Different training scripts and different failures; not mergeable as one defect." }, { "left": "issue:6415", "right": "issue:6561", "accept": false, - "reason": "Feature support question vs missing model file error for IP-Adapter." + "reason": "One is about feature/model support, the other about a missing repository file during loading." }, { "left": "issue:11247", "right": "issue:9527", "accept": false, - "reason": "Both involve ControlNet/Flux, but one is multi-GPU distribution and the other is a dtype mismatch." + "reason": "Multi-GPU distribution problem vs dtype mismatch; related to ControlNet/FLUX but not the same code-path bug." }, { "left": "issue:2331", "right": "issue:2437", "accept": false, - "reason": "These are separate feature requests for different pipelines: ControlNet vs T2I-Adapter." + "reason": "Separate feature requests for different pipelines; same subsystem, different changes." }, { "left": "issue:222", "right": "issue:684", "accept": false, - "reason": "Generic runtime training failure is not the same as AMD memory optimization not working." + "reason": "Broad training runtime failures, but one is general and the other is AMD-specific memory optimization behavior." }, { "left": "issue:1082", "right": "issue:5897", "accept": false, - "reason": "Different training failures: CUDA matmul execution error vs cross-device tensor mismatch in LoRA training." + "reason": "Different LoRA/DreamBooth runtime errors with distinct failure modes and code paths." }, { "left": "issue:12587", "right": "issue:6203", "accept": false, - "reason": "A usage question about context_pre_only is not the same as an SDXL ControlNet image-size question." + "reason": "These are different questions about different ControlNet conditions." }, { "left": "issue:4566", "right": "issue:9841", "accept": false, - "reason": "Both are SDXL LoRA training issues, but checkpoint resume and use_dora TypeError are distinct problems." + "reason": "Checkpoint resume issue vs use_dora TypeError; both in SDXL LoRA training, but not the same bug." }, { "left": "issue:1976", "right": "issue:579", "accept": false, - "reason": "Both mention config.json, but they target different loaders and different missing-file contexts." + "reason": "Both are config-file lookup errors, but they are for different missing files and different loading flows." }, { "left": "issue:6146", "right": "issue:7757", "accept": false, - "reason": "Different multi-GPU issues on different training scripts and failure modes." + "reason": "Both concern multi-GPU training, but one is DreamBooth LoRA and the other is ControlNet SDXL OOM; not the same defect." }, { "left": "issue:6218", "right": "issue:6964", "accept": false, - "reason": "Both are ControlNet-related, but batched seeds and 4-channel UNet support are separate bugs." + "reason": "Both involve ControlNet pipelines, but the failures are different and not the same underlying bug." }, { "left": "issue:11410", "right": "issue:9667", "accept": false, - "reason": "A tensor unpacking error in attention code is unrelated to Flux model loading with a local transformer file." + "reason": "Completely different failures: attention tensor unpacking vs loading a flux fp8 model." }, { "left": "issue:281", "right": "issue:725", - "accept": false, - "reason": "These are overlapping optimization ideas, but they are not the same concrete bug/change." + "accept": true, + "reason": "Same underlying feature request: integrate Accelerate/device_map into DiffusionPipeline loading to reduce memory use; 725 is a more concrete restatement of 281." }, { "left": "issue:8939", "right": "issue:8956", "accept": false, - "reason": "Different model-loading failures for different models and pipelines." + "reason": "Both are model-loading issues, but they involve different pipelines/models and different missing tokenizer/model assets." }, { "left": "issue:13073", "right": "issue:9051", "accept": false, - "reason": "Different unsupported behaviors: guidance_scale handling vs batch inference support." - }, - { - "left": "issue:3061", - "right": "issue:4483", - "accept": false, - "reason": "Both concern determinism, but they are different reproducibility contexts and likely different code paths." - }, - { - "left": "issue:6964", - "right": "issue:8686", - "accept": false, - "reason": "Different ControlNet/SDXL bugs: 4-channel UNet incompatibility vs CFG cutoff callback behavior." + "reason": "Different pipeline behavior problems: guidance-scale support in ZImageControlNetPipeline vs batch inference in FluxPipeline." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet and appropriately conservative: the 281/725 pair is the only clearly same-bug/feature match, and the other soft-edge rejections do not overclaim equivalence." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -11278,7 +11183,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10226", @@ -11289,14 +11194,13 @@ "issue:1305", "issue:13079", "issue:1486", - "issue:2185", "issue:2210", "issue:2774", - "issue:2875", "issue:2904", "issue:2941", "issue:2947", "issue:3019", + "issue:3061", "issue:3451", "issue:3565", "issue:4137", @@ -11308,6 +11212,7 @@ "issue:6224", "issue:6280", "issue:6481", + "issue:6964", "issue:7142", "issue:7146", "issue:7178", @@ -11320,6 +11225,7 @@ "issue:7782", "issue:8504", "issue:852", + "issue:8686", "issue:9026", "issue:9141", "issue:9270", @@ -11329,6 +11235,8 @@ "issue:9911" ], "soft_pairs": [ + "issue:3061|issue:4483", + "issue:6964|issue:8686", "issue:2904|issue:2947", "issue:10920|issue:1486", "issue:5510|issue:6082", @@ -11351,181 +11259,186 @@ "issue:6280|issue:9141", "issue:10026|issue:9911", "issue:6481|issue:730", - "issue:3451|issue:3565", - "issue:2185|issue:2875" + "issue:3451|issue:3565" ], - "prepared_review_unit_hash": "304da58e4e207a97290f3551cbc301a3d6f995dab02f2163b60d681c98e6b1e0", + "prepared_review_unit_hash": "634f678bdf46a0b81863211b16965048c72ad2a00f506b35a3584cd8041a6230", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33599, - "estimated_input_tokens": 8400, - "estimated_eval_tokens": 17056 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34469, + "estimated_input_tokens": 8618, + "estimated_eval_tokens": 17492 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items do not form a single duplicate cluster; they span unrelated bugs across schedulers, pipelines, training scripts, LoRA/Flux, and memory issues. All soft pairs look like same-subsystem or same-error-pattern noise rather than the same underlying bug/change.", - "confidence": 0.94, - "canonical_issue_reason": "No clear canonical issue: the set is heterogeneous and the soft-paired items are not duplicates of each other. There isn\u2019t one issue that cleanly represents the whole group.", + "summary": "The cluster is heterogeneous: the soft pairs share only broad topical similarity (e.g., memory, LoRA, scheduler, Flux) but not the same concrete bug or fix path. No duplicate pair is strong enough to merge, so there is no clear canonical issue in this set.", + "confidence": 0.95, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "If one issue must be surfaced, issue 9497 is the most concrete and well-scoped training bug report, but it still does not subsume the other reports.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3061", + "right": "issue:4483", + "accept": false, + "reason": "Both mention nondeterminism, but one is a generic Stable Diffusion reproducibility complaint and the other is an SDXL generator determinism issue; different code paths and failure modes." + }, + { + "left": "issue:6964", + "right": "issue:8686", + "accept": false, + "reason": "One is about 4-channel UNet support in inpaint pipelines; the other is a callback incompatibility with ControlNet pipelines. Related subsystem, different bug." + }, { "left": "issue:2904", "right": "issue:2947", "accept": false, - "reason": "Both are runtime failures, but one is an AudioLDM pipeline scheduler attribute error and the other is a UNet missing load_attn_procs; different code paths and fixes." + "reason": "AudioLDM scheduler AttributeError and missing load_attn_procs on UNet are unrelated API/runtime failures." }, { "left": "issue:10920", "right": "issue:1486", "accept": false, - "reason": "Both involve DDIM inverse/scheduler numeric issues, but the conditions differ (inverse scheduler first iteration inf vs DDIMScheduler prediction_type='sample'); not the same bug." + "reason": "Both involve DDIM-like schedulers, but one is DDIMInverseScheduler inf on first iteration and the other is DDIMScheduler with prediction_type='sample'; different bug locations." }, { "left": "issue:5510", "right": "issue:6082", "accept": false, - "reason": "Both are dtype mismatch reports, but they occur in different pipelines and with different tensor/bias combinations; not one concrete defect." + "reason": "Both are dtype mismatch errors, but they occur in different pipelines with different concrete errors and likely different fixes." }, { "left": "issue:2941", "right": "issue:4483", "accept": false, - "reason": "Different symptoms and contexts: EulerAncestralDiscreteScheduler bad results vs SDXL generator nondeterminism; too broad to be duplicates." + "reason": "EulerAncestralDiscreteScheduler incorrect results is not the same as generator non-determinism; different symptoms and likely different causes." }, { "left": "issue:6224", "right": "issue:7146", "accept": false, - "reason": "Both mention fine-tuning OOM/TorchDynamo, but one is a TorchDynamo issue and the other is plain CUDA OOM during SDXL training; not the same underlying problem." + "reason": "TorchDynamo fine-tuning failure and SDXL training OOM are separate training issues." }, { "left": "issue:10350", "right": "issue:10569", "accept": false, - "reason": "Both are memory complaints, but one is VAE decoder memory in SD2.1 and the other is HunyuanVideo CPU memory usage; different models and subsystems." + "reason": "Both are memory complaints, but one is VAE decoder memory in SD2.1 and the other is CPU memory usage in HunyuanVideo; different components." }, { "left": "issue:6481", "right": "issue:761", "accept": false, - "reason": "Both are DreamBooth training problems, but one is batch-size >1 failure and the other is 8-bit Adam optimizer failure; distinct causes." + "reason": "DreamBooth batch-size failure and 8-bit Adam failure are distinct training/optimizer problems." }, { "left": "issue:7185", "right": "issue:9810", "accept": false, - "reason": "The titles only overlap around LoRA/support wording; one is a PyTorch support question and the other is a module_to_save feature gap." + "reason": "PyTorch version support question and LoRA module_to_save() support are unrelated issues." }, { "left": "issue:4213", "right": "issue:7178", "accept": false, - "reason": "One is missing from_single_file support for SDXL loading, the other is an export_to_video malfunction; unrelated pipeline features." + "reason": "from_single_file() dependency issue and export_to_video malfunction are unrelated pipeline problems." }, { "left": "issue:9270", "right": "issue:9514", "accept": false, - "reason": "Both are Flux/LoRA-related, but one is incomplete training support in SimpleTuner and the other is loading LoRA after fp8 quantization; different failure modes." + "reason": "Both are Flux/LoRA-related, but one is incomplete support in SimpleTuner and the other is loading LoRA after fp8 quantization; not the same bug." }, { "left": "issue:1305", "right": "issue:3019", "accept": false, - "reason": "These are different application areas: direct inversion image editing versus a segment-anything model request for text-guided editing." + "reason": "Direct Inversion and SAM-based text-guided editing are different feature requests/proposals." }, { "left": "issue:13079", "right": "issue:7629", "accept": false, - "reason": "Both mention OOM, but one is FLUX.2-klein running in a loop with different images and the other is SVD on PyTorch 1.13.1; not the same bug." + "reason": "Both mention OOM, but one is FLUX.2-klein in a loop and the other is SVD on PyTorch 1.13.1; different model/runtime contexts." }, { "left": "issue:5846", "right": "issue:7330", "accept": false, - "reason": "Both are training-script errors, but one is checkpoint resume handling in SDXL LoRA and the other is FP16 gradient unscale issues in text-to-image LoRA; different fixes." + "reason": "Both are training-script errors, but resume_from_checkpoint and FP16 unscale are different bugs." }, { "left": "issue:2210", "right": "issue:8504", "accept": false, - "reason": "Both concern what to train, but one is enabling text-encoder training for LoRA generally and the other is selecting text encoders for SD3-Medium; not duplicates." + "reason": "General request to train text encoder with LoRA and a specific SD3-Medium text-encoder selection feature are overlapping themes, but not the same change." }, { "left": "issue:2774", "right": "issue:7782", "accept": false, - "reason": "Both are conversion/import errors, but one is ControlNet safetensors-to-diffusers conversion and the other is malformed safetensors/unpickling; different failure points." + "reason": "Both are conversion errors, but one is ControlNet safetensors-to-diffusers and the other is invalid safetensors loading; different failure modes." }, { "left": "issue:11023", "right": "issue:7221", "accept": false, - "reason": "Both mention blurry/noisy outputs, but one is a custom pipeline on playground v2.5 and the other is a specific model checkpoint producing noise; insufficient evidence of same bug." + "reason": "Both concern bad image outputs, but one is blur with a custom pipeline and the other is noisy output with a model file; not enough to unify." }, { "left": "issue:4137", "right": "issue:7142", "accept": false, - "reason": "Both compare diffusers to another implementation, but one is LoRA result mismatch and the other is SDXL-lightning inference mismatch; different models and behaviors." + "reason": "Both compare diffusers to WebUI, but one is LoRA result mismatch and the other is SDXL-lightning inference mismatch; different pipelines and change targets." }, { "left": "issue:852", "right": "issue:9026", "accept": false, - "reason": "Both are integration/API compatibility errors, but device_map on MPS and force_hook on load_checkpoint_and_dispatch are unrelated breakages." + "reason": "Both are unexpected keyword-argument errors, but they affect different APIs and versions; not the same underlying bug." }, { "left": "issue:10226", "right": "issue:9497", "accept": false, - "reason": "Both are Flux Dreambooth/LoRA training issues, but one is a tensor size mismatch and the other is a mat2 1-D tensor error; different concrete failures." + "reason": "Both are Flux DreamBooth/LoRA training errors, but the reported failures are different shape/type mismatches and may stem from different code paths." }, { "left": "issue:6280", "right": "issue:9141", "accept": false, - "reason": "Both are missing from_single_file support, but for different pipelines/models (SDXL ControlNet Img2Img vs FluxPipeline); not the same artifact." + "reason": "Both are about missing from_single_file support, but one is a specific ControlNet img2img pipeline and the other is the FluxPipeline API." }, { "left": "issue:10026", "right": "issue:9911", "accept": false, - "reason": "Both are Flux training/control issues, but one is DeepSpeed memory behavior and the other is multi-ControlNet layer-length handling; distinct code paths." + "reason": "DeepSpeed memory scaling and multi-ControlNet layer-length mismatch are unrelated Flux issues." }, { "left": "issue:6481", "right": "issue:730", "accept": false, - "reason": "Both concern DreamBooth training, but one is batch-size behavior and the other is a general local-vs-Colab learning difference; not the same bug." + "reason": "DreamBooth batch-size >1 failure and local-vs-Colab training differences are not the same defect." }, { "left": "issue:3451", "right": "issue:3565", "accept": false, - "reason": "Related to text-to-image training memory usage, but one is fp16 vs fp32 memory inversion and the other is OOM following instructions; not clearly the same defect." - }, - { - "left": "issue:2185", - "right": "issue:2875", - "accept": false, - "reason": "Both are training-script issues, but one is missing config files and the other is NaN loss during training; separate root causes." + "reason": "Both involve memory during training, but one is fp16 using more memory than fp32 and the other is generic OOM in a text-to-image example; different root causes." } ] }, @@ -11547,7 +11460,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10226", "issue:10392", @@ -11561,12 +11474,14 @@ "issue:1540", "issue:1541", "issue:1672", - "issue:1988", + "issue:2185", + "issue:2875", "issue:3284", "issue:3454", "issue:4086", "issue:4094", "issue:4125", + "issue:4368", "issue:4398", "issue:4405", "issue:4875", @@ -11577,19 +11492,17 @@ "issue:5791", "issue:5798", "issue:5956", - "issue:5966", "issue:6117", "issue:6154", "issue:6232", "issue:6297", + "issue:6362", "issue:6382", "issue:6967", "issue:7589", - "issue:7658", "issue:8589", "issue:9278", "issue:9420", - "issue:9476", "issue:9497", "issue:9546", "issue:9667", @@ -11599,11 +11512,11 @@ "issue:993" ], "soft_pairs": [ + "issue:2185|issue:2875", "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", @@ -11621,190 +11534,190 @@ "issue:10392|issue:9420", "issue:5016|issue:6297", "issue:1540|issue:1541", - "issue:6117|issue:6232", - "issue:5966|issue:7658" + "issue:4368|issue:6362", + "issue:6117|issue:6232" ], - "prepared_review_unit_hash": "64c563357038b673ea22b8478f2eee4fd42e769760bb8d2d7264d65dce647605", + "prepared_review_unit_hash": "26b2ca33dc142aeb2bbbf022113fff08b71276a52ee6d194dbb861ad20722b53", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34274, - "estimated_input_tokens": 8569, - "estimated_eval_tokens": 17394 + "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": "This is still a heterogeneous cluster with only a couple of convincing duplicate pairs. The strongest duplicate-looking cases are the Dreambooth MODEL_TYPE pair and the train_dreambooth_lora.py/accelerate pair; most others just share broad subsystem or error-type vocabulary. The DPM-SDE batch-size vs resolution case is not strong enough to treat as a duplicate.", - "confidence": 0.97, - "canonical_issue_reason": "No single issue is a good canonical for the whole set because the items span many unrelated bugs and feature requests. If one must be chosen, issue #1541 is the clearest representative of a real duplicate pair because it states the MODEL_TYPE/CKPT loading failure directly and cleanly.", + "summary": "This cluster is mostly a mixed set of training/loading/performance reports across DreamBooth, LoRA, Flux, SDXL, IP-Adapter, and schedulers. Only the two DreamBooth MODEL_TYPE issues look like a true duplicate pair; the rest are similar in wording but describe different bugs or change requests.", + "confidence": 0.79, + "canonical_issue_reason": "issue:1541 is the clearest representative of the duplicate DreamBooth MODEL_TYPE / CKPT loading failure and states the root symptom more directly than 1540.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #1541 is the strongest canonical candidate among the actual duplicate-like pairs: it most directly captures the underlying MODEL_TYPE loading bug and best represents a true duplicate cluster.", + "best_issue_reason": "issue:1541 is the best single issue to anchor this cluster because it cleanly captures the DreamBooth checkpoint-loading / MODEL_TYPE failure mode.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2185", + "right": "issue:2875", + "accept": false, + "reason": "One is missing training config files; the other is a training-stability/nan-loss problem." + }, { "left": "issue:4125", "right": "issue:5956", "accept": false, - "reason": "Both are about LoRA/SD training quality, but one asks about a loss curve and the other reports degraded image generation; not the same concrete bug." + "reason": "Both concern training behavior, but they are different models and different symptoms (expected loss curve vs degraded image quality)." }, { "left": "issue:11853", "right": "issue:6382", "accept": false, - "reason": "Different failure modes: ControlNet+IP-Adapter loading conflict vs IP-adapter key error after LCM LoRA training." + "reason": "Both mention IP-Adapter, but one is a ControlNet/IP-Adapter loading size conflict and the other is an LCM LoRA key error after training." }, { "left": "issue:11117", "right": "issue:5510", "accept": false, - "reason": "Both are dtype mismatch errors, but they affect different pipelines and code paths (SD3 vs SDXL InstructPix2Pix)." + "reason": "Different pipelines and different dtype mismatch sites; not the same bug." }, { "left": "issue:1672", "right": "issue:993", "accept": false, - "reason": "Wrong image size after ckpt-to-diffusers conversion is unrelated to a general fp16 datatype mismatch." - }, - { - "left": "issue:1988", - "right": "issue:9476", - "accept": false, - "reason": "Both mention input/bias dtype errors, but they occur in different scripts and scenarios; not enough evidence of one underlying bug." + "reason": "Wrong image size after conversion is unrelated to an fp16 data-type mismatch." }, { "left": "issue:10226", "right": "issue:6967", "accept": false, - "reason": "Both are shape-mismatch training problems, but they concern different models and setups (Flux DreamBooth LoRA vs SDXL prior preservation)." + "reason": "Both are shape-mismatch reports, but they involve different models and different training contexts (Flux LoRA vs SDXL prior preservation)." }, { "left": "issue:5791", "right": "issue:8589", "accept": false, - "reason": "Both mention prior preservation in DreamBooth, but the model/script context and error conditions differ." + "reason": "Both mention prior preservation, but one is a parameter-combination question and the other is an SD3-specific prior-preservation training failure." }, { "left": "issue:4398", "right": "issue:9841", "accept": false, - "reason": "Black generated images and a use_dora TypeError are different failures in the SDXL LoRA pipeline." + "reason": "Black outputs and a use_dora TypeError are different failure modes." }, { "left": "issue:3284", "right": "issue:3454", - "accept": true, - "reason": "Very likely the same broken DreamBooth LoRA training script / latest-accelerate compatibility issue." + "accept": false, + "reason": "Same script family, but the reported failures are not specific enough to conclude the same underlying bug." }, { "left": "issue:9667", "right": "issue:9914", "accept": false, - "reason": "Both involve FLUX model loading, but one is fp8 loader behavior and the other is saving/loading a trained LoRA; different bugs." + "reason": "One is loading a Flux fp8 model through a local transformer file; the other is loading a trained LoRA with Xlabs on Diffusers." }, { "left": "issue:4086", "right": "issue:7589", "accept": false, - "reason": "Different features and failure modes: SDXL ControlNet training vs GLIGEN layout-to-image synthesis." + "reason": "Different features entirely: SDXL ControlNet training vs GLIGEN layout-to-image synthesis." }, { "left": "issue:9278", "right": "issue:9497", "accept": false, - "reason": "Both are FLUX training issues, but one is multigpu dreambooth setup and the other is a mat2 dimension error; not the same bug." + "reason": "Both are Flux DreamBooth issues, but one is multigpu training and the other is a matmul shape error." }, { "left": "issue:9546", "right": "issue:9857", "accept": false, - "reason": "Validation OOM in ControlNet training is unrelated to FLUX embedding tensor size mismatch." + "reason": "Validation OOM and embedding tensor size mismatch are different problems." }, { "left": "issue:4875", "right": "issue:5178", "accept": false, - "reason": "They only share the DPM-SDE scheduler context and a broad state/shape caching hypothesis; batch-size-change and resolution-change triggers differ, so the evidence is too weak for a duplicate verdict." + "reason": "Both involve DPM SDE state across runs, but the triggering condition and scheduler variant differ enough that they do not look like the same bug." }, { "left": "issue:5565", "right": "issue:6154", "accept": false, - "reason": "Both mention SDXL LoRA DreamBooth scripts, but one is a general script-run failure and the other is an M2 Mac-specific training problem." + "reason": "Generic script failure versus an M2 Mac-specific LoRA training problem." }, { "left": "issue:11922", "right": "issue:12459", "accept": false, - "reason": "Different FLUX variants and different issues: runtime problem vs batch inference throughput." + "reason": "Different model families and symptoms; one is FLUX.1-Fill-dev running problem, the other is a Kontext-dev batch-throughput issue." }, { "left": "issue:4094", "right": "issue:4405", "accept": false, - "reason": "Two separate feature requests for different training scripts (T2I adapters vs textual inversion)." + "reason": "These are separate feature requests for different training scripts." }, { "left": "issue:10848", "right": "issue:5798", "accept": false, - "reason": "Unrelated API breakages: load_model_dict_into_meta(device=...) vs callback_on_step_end on ControlNet pipeline." + "reason": "Both are unexpected-argument errors, but they hit different functions/pipelines and do not share the same code path." }, { "left": "issue:12047", "right": "issue:12535", "accept": false, - "reason": "Wan2.2 LoRA fuse failure and LoRA loading failure are related to the same ecosystem but not the same concrete bug." + "reason": "Both are Wan2.2 LoRA-related, but one is fusing a Lightx2v LoRA on GGUF and the other is failing to load a Lightning LoRA." }, { "left": "issue:10392", "right": "issue:9420", "accept": false, - "reason": "Different FLUX+LoRA loading scenarios and failure types; not one underlying issue." + "reason": "Different Flux+LoRA loading problems with different model variants and failure points." }, { "left": "issue:5016", "right": "issue:6297", "accept": false, - "reason": "Both are SDXL DreamBooth LoRA training complaints, but the reported problems are different." + "reason": "Text-encoder training is a different issue from a general complaint that the current script cannot train on photos." }, { "left": "issue:1540", "right": "issue:1541", "accept": true, - "reason": "Clear duplicate MODEL_TYPE loading bug for DreamBooth/transformers; same root cause and same affected path." + "reason": "Both report the same DreamBooth MODEL_TYPE / CKPT loading failure; 1541 is the clearer root-cause description." }, { - "left": "issue:6117", - "right": "issue:6232", + "left": "issue:4368", + "right": "issue:6362", "accept": false, - "reason": "Both are scheduler add_noise bugs, but they concern different scheduler implementations and likely different fixes." + "reason": "One is training-time OOM for SDXL LoRA; the other is dataset mapping OOM." }, { - "left": "issue:5966", - "right": "issue:7658", + "left": "issue:6117", + "right": "issue:6232", "accept": false, - "reason": "Different models and workflows: SD 2.1 ControlNet support vs SDXL multiple conditioning with ControlNet." + "reason": "Both are scheduler add_noise bugs, but they involve different scheduler classes and different failing settings." } ] }, "evaluator_result": { - "accept": false, - "feedback": "Mostly grounded, but one soft-edge acceptance is too strong for the evidence in the packet. In particular, issue:4875 vs issue:5178 only share the DPM-SDE scheduler context and a broad \u2018state/shape caching\u2019 hypothesis; the titles describe different triggers (batch size change vs resolution change) and do not by themselves justify a duplicate verdict. The other two accepted pairs are more defensible, and the overall summary is conservative, but this one overstates the evidence." + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only clearly supported duplicate is the DreamBooth MODEL_TYPE / CKPT-loading pair (1540/1541), and the other soft-edge verdicts appropriately avoid overclaiming equivalence." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -11820,14 +11733,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10833", "issue:11023", "issue:11117", "issue:11127", "issue:11133", - "issue:11285", "issue:11352", "issue:11432", "issue:12216", @@ -11852,18 +11764,19 @@ "issue:5455", "issue:5769", "issue:5805", + "issue:5966", "issue:6159", "issue:6278", "issue:6695", "issue:6832", "issue:7466", + "issue:7658", "issue:7666", "issue:771", "issue:7799", "issue:8405", "issue:8414", "issue:8667", - "issue:8939", "issue:9112", "issue:9237", "issue:938", @@ -11872,6 +11785,7 @@ "issue:9953" ], "soft_pairs": [ + "issue:5966|issue:7658", "issue:11352|issue:9953", "issue:6832|issue:7799", "issue:3803|issue:6278", @@ -11896,109 +11810,114 @@ "issue:10833|issue:5075", "issue:5455|issue:6695", "issue:11023|issue:7666", - "issue:11133|issue:13043", - "issue:11285|issue:8939" + "issue:11133|issue:13043" ], - "prepared_review_unit_hash": "dfd5587a9e57af423c12d206e8e454b65e5c04abf73b772c087e309ad0addd6b", + "prepared_review_unit_hash": "7264d9dac5b6d610f15a81d5433473f2f4196c1fd2d5ad568e1e98e8ac904f67", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 26, - "serialized_chars": 35161, - "estimated_input_tokens": 8791, - "estimated_eval_tokens": 17838 + "serialized_chars": 34814, + "estimated_input_tokens": 8704, + "estimated_eval_tokens": 17664 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No soft pair looks like the same underlying bug or change; most are only loosely related by model family, training, or tensor-shape/runtime-error themes. There are no PRs in the set, and the best single issue representative is the quantized-pipeline CUDA move bug (#9953).", - "confidence": 0.61, - "canonical_issue_reason": "#9953 is the most concrete and broadly representative issue in the closest-looking subset (quantized pipeline movement errors); it describes a clear, reproducible failure path and is more central than the narrower warning-only variant (#11352).", + "summary": "This cluster is a broad grab-bag of diffusion/pipeline bug reports, mostly about model compatibility, dtype/device mismatches, quantization, and training/inference failures. The soft matches are mostly superficial (same subsystem or similar error wording) rather than true duplicates.", + "confidence": 0.42, + "canonical_issue_reason": "issue:9953 is the best representative of the cluster\u2019s most recurring concrete theme: pipeline failures when moving quantized components across devices. It is specific enough to anchor the cluster, while still broader than the more model-specific reports.", "canonical_pr_reason": null, - "best_issue_reason": "#9953 is the strongest standalone issue for this cluster because it captures the clearest concrete bug pattern among the candidates and is the most plausible umbrella for the nearby quantization-related discussion.", + "best_issue_reason": "issue:9953 is the most generally useful issue here because it describes a common runtime/device-transfer bug pattern that plausibly spans multiple similar reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5966", + "right": "issue:7658", + "accept": false, + "reason": "Related ControlNet topic, but one is SD 2.1 support and the other is SDXL multiple-conditioning; not the same bug." + }, { "left": "issue:11352", "right": "issue:9953", "accept": false, - "reason": "Same broad quantized-model area, but different behavior: missing CPU warning vs actual CUDA move error. Not the same fixable bug." + "reason": "Both involve quantized pipelines and device moves, but one is missing a CPU warning and the other is a CUDA error; different failures." }, { "left": "issue:6832", "right": "issue:7799", "accept": false, - "reason": "Both involve IP-Adapter shape problems, but they affect different pipelines and have different failure modes." + "reason": "Both are IP-Adapter matmul/shape problems, but they hit different pipelines and likely different code paths." }, { "left": "issue:3803", "right": "issue:6278", "accept": false, - "reason": "Both are multi-GPU training issues, but one is model sharing and the other is a specific script failing; too different to merge." + "reason": "Both mention multi-GPU training, but the scripts and failure modes are different; not a duplicate bug." }, { "left": "issue:4206", "right": "issue:4925", "accept": false, - "reason": "Both mention SDXL ControlNet training, but one is a broken main-branch issue and the other is OOM in distributed training." + "reason": "Both concern SDXL ControlNet training, but one is a general main-branch breakage and the other is a distributed OOM issue." }, { "left": "issue:11127", "right": "issue:9667", "accept": false, - "reason": "Both are Flux loading problems, but one is single-file compatibility and the other is fp8/local transformer loading." + "reason": "Both are Flux loading issues, but one is a single-file compatibility problem and the other is fp8/local transformer loading." }, { "left": "issue:12216", "right": "issue:12458", "accept": false, - "reason": "Same model family only; one reports poorer results and the other requests batch inference support." + "reason": "One reports inferior Qwen-Image-Edit results, the other is a batch inference request/issue; different concerns." }, { "left": "issue:3382", "right": "issue:4925", "accept": false, - "reason": "Both are training OOM reports, but they come from different scripts and setups; not the same bug." + "reason": "Both are training OOM reports, but they are from different training setups and not the same underlying defect." }, { "left": "issue:8405", "right": "issue:9112", "accept": false, - "reason": "Both are tensor-size errors, but they concern unrelated models and code paths." + "reason": "Both mention tensor-size errors, but on different models and different inference paths." }, { "left": "issue:8414", "right": "issue:938", "accept": false, - "reason": "Completely different model domains: text-to-audio vs text-to-motion." + "reason": "Completely different models and domains: text-to-audio vs text-to-motion." }, { "left": "issue:8667", "right": "issue:9112", "accept": false, - "reason": "Similar error wording, but different models and likely different root causes." + "reason": "Similar size-mismatch wording, but the model families and likely root causes differ." }, { "left": "issue:4872", "right": "issue:4925", "accept": false, - "reason": "Both involve SDXL finetuning OOMs, but one is Colab single-node memory pressure and the other is distributed ControlNet training." + "reason": "Both are OOM complaints, but one is SDXL finetuning on T4 and the other is distributed ControlNet training." }, { "left": "issue:175", "right": "issue:5769", "accept": false, - "reason": "Both discuss training correctness, but one is seeding and the other is mixed precision; not the same issue." + "reason": "Both ask about training correctness, but one is about seeding and the other about mixed precision; not the same issue." }, { "left": "issue:13105", @@ -12010,79 +11929,73 @@ "left": "issue:1552", "right": "issue:771", "accept": false, - "reason": "Unrelated bugs: attention slicing incompatibility vs BF16 dreambooth support." + "reason": "One is attention slicing on SD2, the other is BF16 in dreambooth; unrelated precision/memory issues." }, { "left": "issue:9237", "right": "issue:9500", "accept": false, - "reason": "Both are Flux dreambooth-related, but one is a training issue and the other is checkpoint-saving failure." + "reason": "Both are Flux dreambooth-related, but one is a training failure and the other is a checkpoint-saving failure." }, { "left": "issue:2891", "right": "issue:6159", "accept": false, - "reason": "Both are pipeline capability mismatches, but they concern different pipelines and features." + "reason": "Different pipelines and different API gaps; one is embeds support, the other is denoising_end support." }, { "left": "issue:2549", "right": "issue:4520", "accept": false, - "reason": "Different subsystems and failures: SD2 UNet compatibility vs LoRA scale with attention slicing." + "reason": "Different bugs in different features: SD 2.0 UNet loading vs LoRA scale with attention slicing." }, { "left": "issue:3382", "right": "issue:3451", "accept": false, - "reason": "Both are training memory concerns, but one is multi-GPU OOM and the other is fp16 memory regression." + "reason": "Both are training-memory reports, but one is multi-GPU OOM and the other is fp16 memory regression." }, { "left": "issue:11117", "right": "issue:5805", "accept": false, - "reason": "Both are dtype mismatch runtime errors, but on different models, backends, and code paths." + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and environments." }, { "left": "issue:5254", "right": "issue:7466", "accept": false, - "reason": "Feature request for multi-ControlNet support vs a torch.compile failure; not the same concrete bug." + "reason": "One is a feature request for multi-ControlNet support, the other is a torch.compile failure; not the same change or bug." }, { "left": "issue:11432", "right": "issue:4724", "accept": false, - "reason": "Different problems entirely: torch_dtype='auto' loading behavior vs SDXL img2img checkpoint behavior." + "reason": "A from_pretrained dtype-auto issue and an SDXL img2img behavior problem are not the same underlying defect." }, { "left": "issue:10833", "right": "issue:5075", "accept": false, - "reason": "Both are matmul-shape errors, but they affect different pipelines and model components." + "reason": "Both are matmul shape errors, but they happen in different pipelines with different inputs and likely different root causes." }, { "left": "issue:5455", "right": "issue:6695", "accept": false, - "reason": "Generic CalledProcessError reports with unrelated contexts; no shared underlying bug." + "reason": "Same generic subprocess error string, but the surrounding workflows are too different to call them duplicates." }, { "left": "issue:11023", "right": "issue:7666", "accept": false, - "reason": "Both mention lpw_stable_diffusion_xl/custom pipeline behavior, but one is blurred outputs and the other is single-file loading." + "reason": "Both mention lpw_stable_diffusion_xl, but one reports blurry output and the other single-file loading failure." }, { "left": "issue:11133", "right": "issue:13043", "accept": false, - "reason": "Unrelated domains: CogVideoX image-to-video bug vs GPU kernel support issue on Blackwell." - }, - { - "left": "issue:11285", - "right": "issue:8939", - "accept": false, - "reason": "Different conversion/runtime issue vs tokenizer-loading failure; no shared code path." + "reason": "Unrelated models and failures: CogVideoX pipeline bug vs Blackwell kernel-image compatibility issue." } ] }, @@ -12104,17 +12017,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10040", "issue:1082", "issue:10937", - "issue:1100", "issue:11133", + "issue:11285", "issue:12108", "issue:12195", "issue:12235", - "issue:1249", "issue:12666", "issue:13351", "issue:1875", @@ -12151,11 +12063,13 @@ "issue:8613", "issue:8667", "issue:8817", + "issue:8939", "issue:9112", "issue:9187", "issue:9202" ], "soft_pairs": [ + "issue:11285|issue:8939", "issue:5455|issue:7133", "issue:1082|issue:7146", "issue:5006|issue:7146", @@ -12179,193 +12093,192 @@ "issue:2234|issue:2296", "issue:4316|issue:8613", "issue:7263|issue:9187", - "issue:7147|issue:758", - "issue:1100|issue:1249" + "issue:7147|issue:758" ], - "prepared_review_unit_hash": "16cf077ca266ec3a8300b23713746c6bf24ae0dfe94deed0fffb0c9e8ba450dd", + "prepared_review_unit_hash": "ec26074868e2c6559578d3129c346308007255b7cf092be68bf3b5a42282c67d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34716, - "estimated_input_tokens": 8679, - "estimated_eval_tokens": 17614 + "serialized_chars": 34966, + "estimated_input_tokens": 8742, + "estimated_eval_tokens": 17740 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Most items are unrelated standalone bug reports across different pipelines, training scripts, or import/runtime failures. I found one plausible duplicate pair around missing `from_single_file` support on pipeline classes; the rest are too context-specific to merge confidently.", - "confidence": 0.71, - "canonical_issue_reason": "issue:6280 is the clearest, most specific report of the `from_single_file` API gap on an SDXL pipeline class, while issue:4052 is the broader/more generic version of the same missing-attribute problem.", + "summary": "This cluster is heterogeneous: most items are unrelated API, training, memory, or model-specific bugs that only share superficial wording. There is no single coherent duplicate target across the whole set.", + "confidence": 0.94, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated failure modes and subsystems, so no single issue cleanly represents the cluster.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6280 is the best representative issue because it names the exact pipeline class and the exact missing method, making the underlying bug easiest to identify and resolve.", + "best_issue_reason": "No strong best issue candidate for the whole cluster; the only near-duplicate-looking pair is a narrow API-missing report, but it does not unify the rest.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11285", + "right": "issue:8939", + "accept": false, + "reason": "Different problems: conversion/value errors vs tokenizer loading failure." + }, { "left": "issue:5455", "right": "issue:7133", "accept": false, - "reason": "Both are DreamBooth-related, but one is a subprocess failure in a notebook and the other is a checkpoint-resume tensor size mismatch; different bugs." + "reason": "Dreambooth notebook subprocess failure is not the same as SDXL checkpoint-resume size mismatch." }, { "left": "issue:1082", "right": "issue:7146", "accept": false, - "reason": "Both mention CUDA failures during training, but the concrete errors and contexts differ: CUBLAS execution failure vs SDXL OOM." + "reason": "CUDA cublas execution failure differs from a generic SDXL OOM during finetuning." }, { "left": "issue:5006", "right": "issue:7146", "accept": false, - "reason": "Same broad SDXL training area, but one is an end-of-training BF16 OOM and the other is a generic fine-tuning OOM; not the same concrete bug." + "reason": "Both mention OOM, but one is a BF16 end-of-training spike and the other is a broader training OOM; not the same concrete bug." }, { "left": "issue:3382", "right": "issue:4872", "accept": false, - "reason": "Both are OOM training reports, but one is multi-GPU text-to-image training and the other is T4 Colab SDXL finetuning; likely different causes." + "reason": "Different training contexts and symptoms: multi-GPU OOM vs T4 Colab SDXL finetuning OOM." }, { "left": "issue:2578", "right": "issue:7178", "accept": false, - "reason": "Editable install failure and video export failure are unrelated issues." + "reason": "Editable install failure is unrelated to export_to_video malfunction." }, { "left": "issue:12235", "right": "issue:13351", "accept": false, - "reason": "Both mention Wan Fun Control variants, but one is a feature request and the other is a broader model/controlnet request; not the same bug/change." + "reason": "Related feature area, but different request scopes and model variants; not one concrete change." }, { "left": "issue:4450", "right": "issue:7735", "accept": false, - "reason": "Multi-text inversion not working is a different problem from a missing `caption_column` value in dataset loading." + "reason": "Textual inversion multi-text support is unrelated to a missing caption_column field." }, { "left": "issue:4542", "right": "issue:7378", "accept": false, - "reason": "Different pipelines and symptoms: img2img output count vs video latent decoding memory use." + "reason": "One is a multi-image output limit, the other is memory use in latent decoding." }, { "left": "issue:539", "right": "issue:6761", "accept": false, - "reason": "Both are unexpected keyword/API errors, but they hit different functions and unrelated call sites." + "reason": "Different unexpected-argument errors on unrelated APIs." }, { "left": "issue:7644", "right": "issue:8667", "accept": false, - "reason": "Both involve non-power-of-2 image handling, but they are different model/pipeline paths and not clearly the same defect." + "reason": "Both involve non-power-of-two images, but different model/pipeline code paths and failure modes." }, { "left": "issue:8817", "right": "issue:9202", "accept": false, - "reason": "Both are IP-Adapter bugs, but one is a general FaceID failure and the other is a specific SDXL PAGPipeline incompatibility." + "reason": "Different IP-Adapter variants and pipeline behavior; not the same bug." }, { "left": "issue:10040", "right": "issue:3481", "accept": false, - "reason": "Grey-image generation and differing outputs by inference steps are not the same bug." + "reason": "Grey-image generation is unrelated to DDIM determinism across inference steps." }, { "left": "issue:1875", "right": "issue:720", "accept": false, - "reason": "Both involve dtype mismatches, but one is training on fp16 and the other is a traced UNet Half/Float error; different code paths." + "reason": "Both are dtype mismatch errors, but in different pipelines and code paths." }, { "left": "issue:11133", "right": "issue:12108", "accept": false, - "reason": "CogVideoX image-to-video bug and Qwen/Chroma flow-matching scheduler breakage are unrelated." + "reason": "CogVideoX image-to-video bug is unrelated to Qwen/Chroma flow-matching scheduler breakage." }, { "left": "issue:4052", "right": "issue:6280", "accept": true, - "reason": "Both report the same missing `from_single_file` attribute on pipeline classes, with the same underlying API support gap." + "reason": "Both report the same missing `from_single_file` pipeline API; the titles differ only in how specifically the pipeline is named." }, { "left": "issue:12666", "right": "issue:4356", "accept": false, - "reason": "A missing video pipeline in a release is unrelated to a module import failure for dummy torch/transformers objects." + "reason": "Kandinsky pipeline availability is unrelated to a missing dummy module import." }, { "left": "issue:5607", "right": "issue:9112", "accept": false, - "reason": "Tensor concatenation size mismatch and Auraflow tensor-size mismatch are different models and different failure points." + "reason": "Tensor size mismatch here is a generic shape issue, but the pipelines and reported failure contexts differ." }, { "left": "issue:10937", "right": "issue:6239", "accept": false, - "reason": "Both involve VAE encode and compiler tooling, but one is a torch.compile error and the other is torch FX support work; not the same bug." + "reason": "Both touch VAE/torch FX, but one is a compile error on vae.encode and the other is a torch FX support request for latent sampling." }, { "left": "issue:2904", "right": "issue:3497", "accept": false, - "reason": "AudioLDM scheduler attribute failure is unrelated to a missing `from_ckpt` attribute on an inpaint pipeline." + "reason": "AudioLDM scheduler NoneType error is unrelated to a missing from_ckpt attribute." }, { "left": "issue:12195", "right": "issue:4356", "accept": false, - "reason": "Torch 2.3.1 `custom_op` incompatibility and a missing dummy module import are different versioning/import problems." + "reason": "A PyTorch version incompatibility around `torch.library.custom_op` is unrelated to the missing dummy module import." }, { "left": "issue:2234", "right": "issue:2296", "accept": false, - "reason": "Both concern xformers attention, but one is finetuning failure and the other is T4 inference incompatibility; not clearly the same defect." + "reason": "Both mention xformers attention, but one is training failure and the other is T4 inference incompatibility." }, { "left": "issue:4316", "right": "issue:8613", "accept": false, - "reason": "Validation-option error in DreamBooth training and caption-column OOM are different training issues." + "reason": "Validation-option failure during training is unrelated to an OOM triggered by caption_column usage." }, { "left": "issue:7263", "right": "issue:9187", "accept": false, - "reason": "Both are IP-Adapter issues, but the triggering conditions and pipeline setups differ too much to treat as duplicates." + "reason": "Different IP-Adapter failure modes: attention slicing vs SDXL/image_encoder_folder=None after Kolors update." }, { "left": "issue:7147", "right": "issue:758", "accept": false, - "reason": "Different missing imports: a pipeline class name vs an SSL constant from urllib3." - }, - { - "left": "issue:1100", - "right": "issue:1249", - "accept": false, - "reason": "Both mention missing device attributes, but one is on CLIPTextTransformer and the other on a NumPy array in ONNXPipeline; different bugs." + "reason": "StableCascade import failure is unrelated to the urllib3 PROTOCOL_TLS import error." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is conservative and grounded in the packet. The only accepted pair, issue:4052 and issue:6280, is a plausible duplicate around missing `from_single_file` support, while the rest of the soft-edge verdicts appropriately stay on the false side given the differing error contexts and pipeline paths. No overstatement stands out." + "feedback": "Grounded overall: the cluster is clearly heterogeneous, the no-canonical-issue conclusion is conservative, and the one accepted soft edge (issue:4052 \u2194 issue:6280) is a reasonable same-API-missing match. The false soft-edge rejections are also cautious and do not overstate similarity." }, "evaluator_used": true, "retried": false, @@ -12384,17 +12297,19 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10381", "issue:10428", "issue:10848", "issue:10937", + "issue:1100", "issue:11033", "issue:11149", "issue:11464", "issue:11651", "issue:1214", + "issue:1249", "issue:13137", "issue:13446", "issue:13484", @@ -12405,7 +12320,6 @@ "issue:2856", "issue:3045", "issue:3480", - "issue:3582", "issue:4194", "issue:4368", "issue:4453", @@ -12416,7 +12330,6 @@ "issue:4969", "issue:5006", "issue:5374", - "issue:5619", "issue:5846", "issue:6278", "issue:6524", @@ -12436,6 +12349,7 @@ "issue:9841" ], "soft_pairs": [ + "issue:1100|issue:1249", "issue:10848|issue:11149", "issue:10937|issue:9091", "issue:6879|issue:9497", @@ -12459,197 +12373,193 @@ "issue:2780|issue:5846", "issue:1434|issue:4874", "issue:6278|issue:8236", - "issue:4534|issue:9841", - "issue:3582|issue:5619" + "issue:4534|issue:9841" ], - "prepared_review_unit_hash": "48e4e876f1f35abe1c79846b547ba4fc0431a330b10fde47c82aa6021dc23336", + "prepared_review_unit_hash": "430485424db8f27f91d628b5c3c6fd8bc7c0b1d6f549528c3fe95e76e50cf4e8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34202, - "estimated_input_tokens": 8551, - "estimated_eval_tokens": 17358 + "serialized_chars": 34266, + "estimated_input_tokens": 8567, + "estimated_eval_tokens": 17390 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a set of unrelated issues with only one likely duplicate pair around FluxControl LoRA loading failures. Most other soft-similarity pairs differ by model, pipeline, hardware, or error type.", - "confidence": 0.78, - "canonical_issue_reason": "issue:11464 is the best representative because it clearly describes the core FluxControl LoRA-loading failure; issue:11651 appears to be the same underlying bug with a different Flux LoRA variant.", + "summary": "These items are not a true duplicate cluster: they cover many distinct Diffusers bugs and feature requests across Flux/LoRA loading, IP-Adapter, VAE, training scripts, and API signature regressions. None of the soft pairs look like the same concrete underlying issue.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:11464 is the most concrete and broadly representative FluxControl LoRA-loading report in the set, and it aligns with the only strong duplicate candidate.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1100", + "right": "issue:1249", + "accept": false, + "reason": "Different failures in different code paths: CLIPTextTransformer device access vs OnnxPipeline ndarray device access." + }, { "left": "issue:10848", "right": "issue:11149", "accept": false, - "reason": "Different TypeErrors in different loaders: IP-Adapter meta loading vs 4-bit quantizer param creation." + "reason": "Both are unexpected-argument errors, but on unrelated APIs: load_model_dict_into_meta(device) vs BnB4BitDiffusersQuantizer.create_quantized_param(dtype)." }, { "left": "issue:10937", "right": "issue:9091", "accept": false, - "reason": "Both mention torch.compile/VAE, but one is vae.encode and the other is VAE decoder support; different code paths and symptoms." + "reason": "torch.compile error on vae.encode is not the same as VAE decoder compile support; different direction and failure mode." }, { "left": "issue:6879", "right": "issue:9497", "accept": false, - "reason": "Different failures: dtype mismatch in Custom Diffusion vs mat2 dimension error during Flux DreamBooth training." + "reason": "Different runtime errors in separate training flows: dtype mismatch in Custom Diffusion vs mat2 shape error in Flux DreamBooth." }, { "left": "issue:10381", "right": "issue:10428", "accept": false, - "reason": "Both are Flux inference errors, but one is quantization/LoRA/Quanto on Zero GPU spaces and the other is Ascend NPU-specific; not the same bug." + "reason": "One is a Flux quantization/LoRA report, the other is a Flux inference error on Ascend NPU; different environment and issue." }, { "left": "issue:1614", "right": "issue:4724", "accept": false, - "reason": "Different pipelines and model families: SD 2.1 autocast black image vs SDXL img2img behavior with a base checkpoint." + "reason": "Both mention bad outputs, but one is autocast black images and the other is SDXL Img2Img behavior with a checkpoint." }, { "left": "issue:11033", "right": "issue:1214", "accept": false, - "reason": "Unrelated components: from_single_file UNet loading vs CLIPTextModel half-precision behavior." + "reason": "Different problems: from_single_file SD1.5 UNet loading vs half-precision CLIPTextModel behavior." }, { "left": "issue:4368", "right": "issue:5006", "accept": false, - "reason": "Both are OOMs during SDXL training, but the context differs enough that they do not look like the same concrete bug." + "reason": "Both are training OOM reports, but for different pipelines and symptoms; not the same bug." }, { "left": "issue:1214", "right": "issue:7660", "accept": false, - "reason": "Half-precision CLIPTextModel issue vs an example tracing failure; no shared underlying bug." + "reason": "Half-precision CLIPTextModel vs a tracing example failure are unrelated." }, { "left": "issue:13137", "right": "issue:13484", "accept": false, - "reason": "Both are Flux 2 LoRA-loading problems, but they reference different LoRA formats/models (LoKr vs FAL) and are not clearly the same failure." + "reason": "Both concern Flux LoRA loading, but one is Flux 2 Klein LoKr weights and the other is FAL loras on Flux 2 dev; not enough evidence of one bug." }, { "left": "issue:13446", "right": "issue:9660", "accept": false, - "reason": "Different DiffusionPipeline.from_pretrained concerns: trust checking for custom_pipeline vs setting modules to eval mode." + "reason": "Security/trust-check issue for custom_pipeline is unrelated to from_pretrained not setting eval mode." }, { "left": "issue:2210", "right": "issue:3480", "accept": false, - "reason": "Related LoRA feature requests, but one is about training the text encoder and the other about adding a scale parameter; not duplicates." + "reason": "Training-text-encoder request vs adding a scale parameter for text encoder LoRA layers are different changes." }, { "left": "issue:2856", "right": "issue:6584", "accept": false, - "reason": "Generic model-to-diffusers conversion vs a specific DreamShaper inpaint conversion problem; too different to merge." + "reason": "Generic conversion failure vs a specific DreamShaper v8 inpaint conversion problem; different concrete cases." }, { "left": "issue:3045", "right": "issue:4453", "accept": false, - "reason": "Opposite directions of conversion: safetensors->diffusers vs diffusers SDXL LoRA->safetensors." + "reason": "Both are LoRA conversion questions, but one is converting LoRA safetensors to diffusers and the other is converting SDXL LoRA for AUTO1111 compatibility." }, { "left": "issue:4194", "right": "issue:6524", "accept": false, - "reason": "Different bugs: from_single_file VAE handling vs loading a LoRA a second time." + "reason": "VAE not working in from_single_file is unrelated to reloading LoRA a second time." }, { "left": "issue:4969", "right": "issue:6794", "accept": false, - "reason": "Different import errors in different modules; no shared underlying code path is evident." + "reason": "CrossAttention import failure is unrelated to cast_training_params import error." }, { "left": "issue:5374", "right": "issue:6761", "accept": false, - "reason": "Both are unexpected-argument errors, but for different APIs and parameters." + "reason": "Different unexpected-argument errors on different APIs: checkpoint_path vs VaeImageProcessor.preprocess." }, { "left": "issue:7033", "right": "issue:7238", "accept": false, - "reason": "IP-Adapter masking warning logs vs masking behavior itself; related area but not the same bug." + "reason": "IP-Adapter attention masking warning logs vs IP-Adapter masking are related only broadly; one is logging, the other is functional masking behavior." }, { "left": "issue:8708", "right": "issue:8887", "accept": false, - "reason": "Both are SD3 training-example issues, but one is a missing shift_factor config and the other is wrong VAE encode logic." + "reason": "Missing vae.config.shift_factor in SD3 training examples vs wrong VAE encode in SD3 training are distinct bugs." }, { "left": "issue:11464", "right": "issue:11651", - "accept": true, - "reason": "Both report FluxControl failing to load Flux LoRAs; same pipeline and same underlying loading problem, differing only by specific LoRA variant." + "accept": false, + "reason": "Two different FluxControlPipeline LoRA-loading failures for different LoRAs and setups; not clearly the same root cause." }, { "left": "issue:4835", "right": "issue:4874", "accept": false, - "reason": "Different StableDiffusionXL pipeline bugs: MultiControlNetModel behavior vs local low_res_scheduler loading." + "reason": "Both involve ControlNet/Upscale pipelines, but one is MultiControlNetModel behavior and the other is low_res_scheduler when loading locally." }, { "left": "issue:2780", "right": "issue:5846", "accept": false, - "reason": "Different LoRA training issues: FP16 gradient unscale vs resume_from_checkpoint handling." + "reason": "Different LoRA training errors in different scripts and contexts." }, { "left": "issue:1434", "right": "issue:4874", "accept": false, - "reason": "OOM in upscaling vs low_res_scheduler loading bug; unrelated symptoms and code paths." + "reason": "Upscale OOM at larger than 128x128 is not the same as a local low_res_scheduler bug." }, { "left": "issue:6278", "right": "issue:8236", "accept": false, - "reason": "Both mention multi-GPU examples, but one is a run failure and the other is a scheduler step-count issue; not the same bug." + "reason": "Multi-GPU training failure in one example is not the same as wrong scheduler step count with num_train_epochs in another." }, { "left": "issue:4534", "right": "issue:9841", "accept": false, - "reason": "Different DreamBooth problems on different platforms and with different triggers: MPS validation crash vs use_dora=False TypeError." - }, - { - "left": "issue:3582", - "right": "issue:5619", - "accept": false, - "reason": "Different pipelines and failures: ControlNet inpaint strength=1 vs AutoencodeTiny/LCM img2img encode behavior." + "reason": "SDXL dreambooth validation crash on MPS is unrelated to a TypeError when use_dora is false in SDXL LoRA training." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet, and the soft-edge verdicts are conservative overall. The one accepted pair (issue:11464 / issue:11651) is plausibly the same FluxControl LoRA-loading bug, while the rejected pairs are explained using differences in pipeline, model family, platform, or error type without overstating identity." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -12664,7 +12574,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10055", "issue:10266", @@ -12674,7 +12584,6 @@ "issue:10952", "issue:11209", "issue:11224", - "issue:11247", "issue:11285", "issue:11702", "issue:1214", @@ -12687,6 +12596,7 @@ "issue:2856", "issue:3382", "issue:3481", + "issue:3582", "issue:3619", "issue:3774", "issue:3910", @@ -12697,6 +12607,7 @@ "issue:4476", "issue:4736", "issue:5259", + "issue:5619", "issue:6130", "issue:6176", "issue:6226", @@ -12711,10 +12622,10 @@ "issue:8514", "issue:9179", "issue:9180", - "issue:9911", "issue:9962" ], "soft_pairs": [ + "issue:3582|issue:5619", "issue:3619|issue:771", "issue:1979|issue:2856", "issue:10055|issue:7310", @@ -12739,202 +12650,198 @@ "issue:11224|issue:6130", "issue:10266|issue:10738", "issue:3382|issue:4736", - "issue:1931|issue:234", - "issue:11247|issue:9911" + "issue:1931|issue:234" ], - "prepared_review_unit_hash": "367e261684105b00f645bfa6923954135066cc7c77a13b16b66edf02e8203b73", + "prepared_review_unit_hash": "eb8fbc1e0e9e88ab8ccfb0df70cb0dd9818349af7b968c3838bb7833831fe5fe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 26, - "serialized_chars": 33831, - "estimated_input_tokens": 8458, - "estimated_eval_tokens": 17172 + "serialized_chars": 33814, + "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 thematic noise with a few topic buckets (LoRA loading, conversion, controlnet, precision, OOB errors), but the soft-edge evidence does not justify merging any pair as the same underlying bug/change. The LoRA pairs in particular are only broadly related, not concrete duplicates.", - "confidence": 0.69, - "canonical_issue_reason": "issue:6130 is the broadest and most representative LoRA-loading report in the set, with the most discussion among the closely related LoRA issues, so it is the best anchor for that subtopic. It should remain an umbrella reference rather than absorbing weaker near-matches.", + "summary": "This cluster is mostly a loose collection of Diffusers issues around training, LoRA loading, conversion, and a few scheduler/runtime bugs. The only clear duplicate pair is the repeated generic \"Error in loading Lora\" reports; the rest are thematically similar but not the same underlying defect.", + "confidence": 0.66, + "canonical_issue_reason": "issue:11224 is the clearest representative of the repeated generic LoRA-loading failure reports, with the same broad title as issue:11209 and slightly richer discussion activity.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6130 is the strongest single issue anchor for the cluster because it is the most general LoRA-loading failure report and has the richest discussion trail; it best represents the repeated LoRA-loading complaints without overcommitting to duplicate status.", + "best_issue_reason": "issue:11224 is the best cluster anchor because it is a broad, user-facing LoRA loading failure that matches multiple nearby reports, while still being specific enough to represent the duplicate family.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3582", + "right": "issue:5619", + "accept": false, + "reason": "Different problems: ControlNet inpaint strength handling vs LCM img2img AutoencodeTiny encode behavior." + }, { "left": "issue:3619", "right": "issue:771", "accept": false, - "reason": "Different code paths and failures: Text2Video-Zero cross-frame attention vs half-precision DreamBooth/CLIP behavior." + "reason": "Unrelated runtime areas: Text2Video-Zero CrossFrameAttention vs BF16 dreambooth precision support." }, { "left": "issue:1979", "right": "issue:2856", "accept": false, - "reason": "Related SD-to-diffusers conversion theme, but the packet only shows broad similarity, not the same concrete bug or fix target." + "reason": "Both are conversion-related, but one is a general SD-to-diffusers conversion failure and the other is a specific SD conversion script issue; not clearly the same bug." }, { "left": "issue:10055", "right": "issue:7310", "accept": false, - "reason": "ControlNet training on SD3 vs SDXL LoRA default training; different workflows and failure modes." + "reason": "Both mention training scripts, but one is SD3 ControlNet training and the other is SDXL LoRA defaults; different code paths and failure modes." }, { "left": "issue:4340", "right": "issue:6176", "accept": false, - "reason": "Training-time SDXL LoRA error vs post-training LoRA loading error; not the same defect." + "reason": "Both concern LoRA training/loading, but one is SDXL LoRA training with text encoder and the other is loading LoRA weights after DreamBooth LoRA training; not the same defect." }, { "left": "issue:11285", "right": "issue:6226", "accept": false, - "reason": "Both involve conversion scripts, but the reported problems and affected paths differ." + "reason": "One is about conversion value errors between original Stable Diffusion and diffusers, the other about loading errors caused by a conversion script; related area but not the same underlying issue." }, { "left": "issue:4073", "right": "issue:9180", "accept": false, - "reason": "Unrelated failures: DeepFloyd IF safety checker tensor issue vs missing _execution_device attribute." + "reason": "Different failure classes: DeepFloyd IF safety checker attribute error vs pipeline missing _execution_device." }, { "left": "issue:13162", "right": "issue:13484", "accept": false, - "reason": "Both are Flux LoRA-related, but one is support and the other is a specific load failure; too broad to merge." + "reason": "Both are Flux LoRA support/load issues, but they appear to target different models and loading scenarios; too broad to treat as the same concrete bug." }, { "left": "issue:5259", "right": "issue:7708", "accept": false, - "reason": "Different missing-file errors with different filenames and contexts." + "reason": "Both are missing-file load errors, but one is generic model_index.json missing and the other is a tokenizer/config.json path issue for SDXL." }, { "left": "issue:1214", "right": "issue:7178", "accept": false, - "reason": "Half-precision CLIPTextModel bug vs export_to_video issue; unrelated code paths." + "reason": "Half-precision CLIPTextModel failure is unrelated to export_to_video behavior." }, { "left": "issue:10421", "right": "issue:4468", "accept": false, - "reason": "Both mention multi-GPU behavior, but one is a CPU memory leak and the other is performance differences, not the same bug." + "reason": "Both involve multi-GPU behavior, but one is a CPU memory leak during pipeline migration and the other is differing inference performance on multi-GPU." }, { "left": "issue:10952", "right": "issue:3910", "accept": false, - "reason": "Both are LoRA-loading complaints, but the concrete adapter-name mismatch is not shown to be the same issue as a generic load failure." + "reason": "Both are LoRA-related, but one is a specific adapter-name mismatch in SDXL long-prompt weighting and the other is a generic \"certain LoRA will not load\" report." }, { "left": "issue:1742", "right": "issue:3481", "accept": false, - "reason": "Prompt-list inference speed vs differing outputs across inference steps; unrelated." + "reason": "Performance variability vs output-dissimilarity across inference steps are different issues despite both mentioning prompt/inference behavior." }, { "left": "issue:4086", "right": "issue:7483", "accept": false, - "reason": "SDXL ControlNet training vs LoRA-to-Diffusers conversion; different failure surfaces." + "reason": "Both are about ControlNet/SDXL training or conversion, but one is SDXL ControlNet training not working and the other is LoRA-to-Diffusers conversion for SDXL 1.0 base models." }, { "left": "issue:4476", "right": "issue:9179", "accept": false, - "reason": "Training-result quality issue vs multi-GPU performance difference; not the same defect." + "reason": "Both mention SDXL+ControlNet, but one is fill50k results not matching expectations and the other is training results generally not making sense; too broad to merge." }, { "left": "issue:7056", "right": "issue:8514", "accept": false, - "reason": "SDXL LoRA train_text_encoder error vs EMAModel parallel fine-tuning error; different concrete failures." + "reason": "Both are training errors, but one is SDXL text-to-image LoRA with train_text_encoder and the other is EMAModel causing InstructP2P parallel fine-tuning failure." }, { "left": "issue:3382", "right": "issue:3774", "accept": false, - "reason": "Both involve memory on multi-GPU, but one is OOM and the other is zero3 not saving memory; not a duplicate." + "reason": "Multi-GPU OOM in text-to-image training and ZeRO3 memory not saving are related only at a high level; different training setups and symptoms." }, { "left": "issue:10823", "right": "issue:6536", "accept": false, - "reason": "Inference artifact output problem vs UNet3DConditionModel OOM; unrelated." + "reason": "Different problems: missing inference files from fine-tuning script vs UNet3DConditionModel fine-tuning out-of-memory." }, { "left": "issue:6761", "right": "issue:9962", "accept": false, - "reason": "Different unexpected-keyword-argument failures on different APIs." + "reason": "Different API breakages: unexpected keyword on VaeImageProcessor.preprocess vs unexpected keyword use_cuda_graph." }, { "left": "issue:11209", "right": "issue:11702", "accept": false, - "reason": "Both involve loading LoRA-like assets, but the error contexts differ and the packet does not support a shared concrete bug." + "reason": "Both are LoRA loading issues, but 11702 is an AccVid-specific key error with diffusers; not the same as the generic loading failure." }, { "left": "issue:11209", "right": "issue:6130", "accept": false, - "reason": "Broad LoRA-loading similarity only; not enough evidence that this is the same underlying loading bug as 6130." + "reason": "Same broad theme, but 6130 is an older generic loading issue with no evidence it is the exact same adapter/key failure as 11209." }, { "left": "issue:11224", "right": "issue:11702", "accept": false, - "reason": "Same broad area, but the specific failure modes are different." + "reason": "Generic LoRA loading failure vs AccVid LoRA key error; different concrete failure modes." }, { "left": "issue:11224", "right": "issue:6130", "accept": false, - "reason": "This is only a generic LoRA-loading similarity, not a supported duplicate of 6130." + "reason": "Both are generic LoRA-loading complaints, but the evidence is too weak to say they are the same underlying bug." }, { "left": "issue:10266", "right": "issue:10738", "accept": false, - "reason": "Both are index-out-of-bounds reports, but the scheduler/code path is not clearly the same." + "reason": "Both are out-of-bounds scheduler issues, but one is UniPC with FlowMatch and the other is a scheduler sigma index error; not enough to identify a single bug." }, { "left": "issue:3382", "right": "issue:4736", "accept": false, - "reason": "Both mention training memory issues, but the scripts and concrete failures differ." + "reason": "Different training failures: multi-GPU OOM in text-to-image vs SDXL LoRA OOM plus invalid cast." }, { "left": "issue:1931", "right": "issue:234", "accept": false, - "reason": "Both are precision-related, but the specific bug reports are different and not shown to share a code fix." - }, - { - "left": "issue:11247", - "right": "issue:9911", - "accept": false, - "reason": "Both concern Flux/controlnet multi-GPU behavior, but they describe different concrete failures." + "reason": "Both concern half precision, but one is a Stable Diffusion 2 dtype mismatch and the other is a generic pipeline half-precision failure." } ] }, - "evaluator_result": { - "accept": false, - "feedback": "The cluster-level summary is mostly grounded, but it overstates the evidence on the soft edges. In particular, the analyst marks issue:1979\u2194issue:2856 and issue:11209/11224\u2194issue:6130 as true duplicates / same underlying bug, while the packet only supports broad LoRA/conversion similarity and the deterministic labels for those pairs are false. That is stronger than the evidence available, so the output is not conservative enough." - }, - "evaluator_used": true, - "retried": true, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null @@ -12950,7 +12857,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10040", "issue:10169", @@ -12958,6 +12865,7 @@ "issue:1070", "issue:10860", "issue:11160", + "issue:11247", "issue:11396", "issue:12108", "issue:12141", @@ -12974,7 +12882,6 @@ "issue:3191", "issue:3235", "issue:3812", - "issue:4478", "issue:4551", "issue:4619", "issue:4768", @@ -12996,19 +12903,19 @@ "issue:8833", "issue:8922", "issue:9343", - "issue:9476", "issue:9500", "issue:9548", + "issue:9911", "issue:9970" ], "soft_pairs": [ + "issue:11247|issue:9911", "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", @@ -13028,194 +12935,191 @@ "issue:10860|issue:11396", "issue:5886|issue:7974" ], - "prepared_review_unit_hash": "16246af649ec749cd3f91429ff8ae469df78658be913815ac49d76acaaf0e9ba", + "prepared_review_unit_hash": "b7e2aed33fba7a1bfe6a8fadaef0b31b21ee0ed2659b2814cf8e43f56685ac5f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34484, - "estimated_input_tokens": 8621, - "estimated_eval_tokens": 17498 + "serialized_chars": 34435, + "estimated_input_tokens": 8609, + "estimated_eval_tokens": 17474 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set does not form one coherent duplicate cluster; most pairs are only superficially similar. The only strong duplicates are the exact/near-exact mixed-precision runtime-error pairs, while the rest differ by model family, pipeline, or failure mode.", - "confidence": 0.8, - "canonical_issue_reason": "There is no single canonical issue for the full set because the items split into unrelated bug families. If a duplicate anchor is needed, issue #7854 is the clearest one because it states the recurring Half/Float mismatch most explicitly.", + "summary": "This cluster is very loose: most items are distinct model-loading, training, or GPU/device-specific bugs rather than true duplicates. No soft pair looks safe to merge as the same underlying issue.", + "confidence": 0.37, + "canonical_issue_reason": "issue:9500 is the most substantial and actionable report in the set, with the richest reproduction details and highest discussion activity, so it is the best representative anchor for this heterogeneous cluster.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #7854 is the best representative of the strongest duplicate subcluster: its title precisely captures the repeated mixed-precision tensor/bias type mismatch and is the cleanest canonical wording.", + "best_issue_reason": "issue:9500 is the strongest standalone issue for triage: detailed, active, and clearly described, even though the surrounding items are not true duplicates.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11247", + "right": "issue:9911", + "accept": false, + "reason": "Both concern Flux/controlnet multi-device or multi-controlnet behavior, but they describe different failure modes and likely different code paths." + }, { "left": "issue:11160", "right": "issue:12896", "accept": false, - "reason": "Both involve WAN video pipelines, but one is about inconsistent inference results and the other is a CUDA-vs-MPS failure; the concrete bug and code path differ." + "reason": "Same WAN i2v family, but one is inconsistent inference output and the other is a CUDA-vs-MPS execution failure; too different to treat as one bug." }, { "left": "issue:4911", "right": "issue:7228", "accept": false, - "reason": "Both mention loading/model file issues, but one is about a custom text encoder in from_single_file and the other is a traced-model dtype attribute error; not the same bug." + "reason": "Both are loading-related, but one is about missing custom text_encoder in from_single_file and the other is a traced-model dtype attribute error." }, { "left": "issue:1988", "right": "issue:4619", - "accept": true, - "reason": "These are very likely the same mixed-precision training-script bug: both report the same input/bias dtype mismatch during LoRA training, just on different script variants." + "accept": false, + "reason": "Both mention fp16/bf16 type mismatch during training, but they are different training scripts and not clearly the same concrete bug." }, { "left": "issue:2578", "right": "issue:5226", "accept": false, - "reason": "Editable install failure and LoRA-weight loading failure are unrelated; same broad library but not the same underlying bug." + "reason": "Editable install failure and LoRA loading failure are unrelated problems." }, { "left": "issue:10169", "right": "issue:3812", "accept": false, - "reason": "Both mention config.json/config, but one is a missing file error and the other is a missing controlnet field in config; different root causes." + "reason": "Missing config.json and missing controlnet key in config are different config-loading issues." }, { "left": "issue:4768", "right": "issue:5884", "accept": false, - "reason": "Support for multiple adapters and adding IP-Adapter support are feature requests in the same area, not the same change or bug." - }, - { - "left": "issue:4478", - "right": "issue:9476", - "accept": false, - "reason": "Same error class, but different model families and different contexts (SDXL inference vs Flux training validation); too broad to call a duplicate." + "reason": "One is about checkpointing multiple T2I adapters; the other is a feature request for broader IP-Adapter support." }, { "left": "issue:12141", "right": "issue:7057", "accept": false, - "reason": "One is a dtype-specific WanVACEPipeline VAE issue; the other is a generic checkpoint/model loading failure. No clear shared bug." + "reason": "VAE dtype compatibility and checkpoint/model loading failure are not the same underlying bug." }, { "left": "issue:7057", "right": "issue:7666", "accept": false, - "reason": "Both are loading-related, but one is a checkpoint/model load failure and the other is a from_single_file custom pipeline issue; not the same problem." + "reason": "Different loading paths and different errors; no evidence they share the same root cause." }, { "left": "issue:13300", "right": "issue:8668", "accept": false, - "reason": "CPU generation failure for SD3.5/FLUX is unrelated to the SD3 img2img image-size alignment bug." + "reason": "CPU generation failure for SD3.5/FLUX is unrelated to the image-size alignment bug in SD3 img2img." }, { "left": "issue:9500", "right": "issue:9970", "accept": false, - "reason": "Both are DreamBooth training issues, but one is checkpoint saving in Flux and the other is an SDXL LoRA training failure; different failures." + "reason": "Both are DreamBooth training failures, but one is Flux checkpoint saving and the other is SDXL LoRA script failure; too broad to merge." }, { "left": "issue:2991", "right": "issue:817", "accept": false, - "reason": "Both are mixed-precision example failures, but they affect different example pipelines and are not clearly the same concrete bug." + "reason": "Both are mixed-precision example failures, but they affect different examples and are not clearly the same code-path defect." }, { "left": "issue:12771", "right": "issue:9343", "accept": false, - "reason": "Scheduler out-of-bounds with Karras sigmas is unrelated to FLUX loading with mismatched sizes and low_cpu_mem_usage." + "reason": "Scheduler out-of-bounds with Karras sigmas is unrelated to FLUX loading with mismatched sizes." }, { "left": "issue:3235", "right": "issue:4885", "accept": false, - "reason": "Both involve weight loading, but custom diffusion biases and SDXL ControlNet LoRA loading are different adapter paths." + "reason": "Custom Diffusion weights with biases failing to load is not the same as SDXL ControlNet Img2Img LoRA loading." }, { "left": "issue:6082", "right": "issue:7854", - "accept": true, - "reason": "These appear to be the same runtime error: the Half/Float input-vs-bias type mismatch, with one title phrasing it generically and the other verbatim." + "accept": false, + "reason": "Both are half/float mismatch reports, but they are separate reports without enough evidence of the same concrete failure." }, { "left": "issue:12108", "right": "issue:12359", "accept": false, - "reason": "Pipeline breakage with flow-matching schedulers and documentation about guidance_scale are different issues." + "reason": "Pipeline breakage with flow-matching schedulers is not the same as the Chroma documentation issue about guidance_scale." }, { "left": "issue:10040", "right": "issue:8922", "accept": false, - "reason": "Both produce bad-looking outputs, but grey images in SD3 and zero/black images in quantized SD3 single-file loading are not the same concrete bug." + "reason": "Grey images and black images are similar symptoms, but they are not enough to conclude the same root cause." }, { "left": "issue:3191", "right": "issue:4936", "accept": false, - "reason": "Both are DreamBooth LoRA-related, but one is a general breakage and the other is specifically resume functionality after 0.19.0; not the same bug." + "reason": "Dreambooth+LoRA being broken and resume in Dreambooth LoRA training are different training problems." }, { "left": "issue:1565", "right": "issue:4551", "accept": false, - "reason": "GPU device selection/OOM is unrelated to the SDXL dreambooth crash." + "reason": "GPU selection/OOM on SD2 is unrelated to SDXL Dreambooth crashing." }, { "left": "issue:9500", "right": "issue:9548", "accept": false, - "reason": "Both mention Flux DreamBooth LoRA training, but one is checkpoint saving and the other is a broader follow-up complaint; insufficient evidence they are the same underlying bug." + "reason": "Both involve Flux DreamBooth/LoRA, but one is checkpoint saving failure and the other is a broader 'still issue' follow-up; not the same concrete bug." }, { "left": "issue:579", "right": "issue:8833", "accept": false, - "reason": "Both mention missing config.json, but the loading contexts are different (textual inversion vs SD3 model repo packaging)." + "reason": "Both mention missing config.json, but one is textual inversion and the other is a model repo/config packaging issue." }, { "left": "issue:10436", "right": "issue:1070", "accept": false, - "reason": "Both are inpainting-related, but one is a model-loading problem and the other is a version-specific pipeline bug." + "reason": "Inpainting model not loading and inpainting faces bug are different issues." }, { "left": "issue:1251", "right": "issue:2495", "accept": false, - "reason": "Both yield black images on MPS, but they are different pipelines and there is no evidence of the same code-path bug." + "reason": "Black output on MPS for RePaint and black output on MPS for upscale pipeline may look similar, but they affect different pipelines and code paths." }, { "left": "issue:10860", "right": "issue:11396", "accept": false, - "reason": "Both concern LoRA compatibility with ComfyUI, but they target different models and different conversion/use cases." + "reason": "Both involve LoRA interoperability with ComfyUI, but one is about using a trained LoRA and the other is about converting a HiDream LoRA format." }, { "left": "issue:5886", "right": "issue:7974", "accept": false, - "reason": "IP-Adapter face-model support is a feature request; inpaint with IP Adapter face+style is a bug report. Not duplicates." + "reason": "Face model support request and an inpaint bug with IP-Adapter face+style are related only broadly; they are not the same bug or change." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays mostly conservative. The two accepted soft edges are defensible from the issue titles: 1988/4619 share the same mixed-precision input/bias mismatch class, and 6082/7854 are near-verbatim runtime-error duplicates. The remaining rejections are appropriately cautious given the different model families, pipelines, or failure modes." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -13227,10 +13131,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10180", "issue:10223", @@ -13310,12 +13214,12 @@ ], "prepared_review_unit_hash": "70d23bc9f223654ea9fb32ed0897a20237bf54b30a635dc9102994638c8d5ff4", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -13330,162 +13234,162 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a noisy similarity cluster: the paired issues share broad terms like loading, training, or unexpected keyword errors, but they describe different models, pipelines, and failure modes. I don\u2019t see any true duplicate pairs here; the most representative issue is the Flux LoRA loading report.", - "confidence": 0.9, - "canonical_issue_reason": "issue:10180 is the most concrete and central bug report in the set: a specific Flux/LoRA loading failure with clear user-facing impact. The other issues are either broader, different models, or unrelated questions/errors.", + "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 best represents the cluster because it is a specific, actionable runtime bug rather than a general question or a vague loading complaint.", + "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": "Different SVD-pipeline problems: tensor-size mismatch vs a FutureWarning about input range. Same area, not the same bug." + "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 generic T4 Colab runtime error and the other is explicit CUDA OOM. Not enough to treat as one bug." + "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": "Different failures: missing accelerate for from_single_file() vs ControlNet inpaint not working with 4-channel UNets." + "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": "One is about from_single_file() requiring accelerate; the other is a trace example not working. Unrelated concrete issues." + "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": "Different loading/conversion problems: inpainting model load failure vs conversion script causing webui loading errors." + "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": "LoRA loading with Flux Control LoRA is unrelated to a tokenizer-loading OSError for SD3 medium." + "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": "Both touch Wan2.2/Wan pipelines, but one is a cache_context inference error and the other is incorrect model-class selection. Different bugs." + "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 shape issue vs general output mismatch with WebUI. Same broad generation area, not the same defect." + "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 is asking how to pass a YAML config for inference; the other reports random DreamBooth outputs. Different problems." + "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 training crash from validation_prompt is not the same as a general question about training HiDream-I1 LoRA." + "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": "Both concern conversion to Diffusers, but one is a specific DreamShaper inpaint model conversion and the other is a generic ckpt conversion failure." + "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": "Both are unexpected-keyword-argument errors in HiDream components, but they involve different models and different kwargs ('encoder_hidden_states' vs 'return_dict')." + "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": "Separate feature requests for unrelated models (SkyReels-V2 vs AudioLDM2)." + "reason": "SkyReels-V2 integration request and AudioLDM2 integration request are unrelated feature requests." }, { "left": "issue:11062", "right": "issue:11702", "accept": false, - "reason": "Different LoRA-loading failures on different models (CivitAI LoRA vs AccVid LoRA)." + "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 issue is unrelated to Flux multi-ControlNet support." + "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 and missing _execution_device are different API/runtime issues." + "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 error and PNDMScheduler.set_format error are unrelated." + "reason": "CLIPImageProjection import issue vs PNDMScheduler set_format issue. Completely different components." }, { "left": "issue:1552", "right": "issue:7057", "accept": false, - "reason": "Attention slicing on SD2 and a generic model checkpoint load failure are not the same bug." + "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 failure is unrelated to mixed-precision DreamBooth training." + "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": "A missing PreTrainedTokenizer symbol is not the same as SDXL lacking tokenizer/config.json." + "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 obtaining a LoRA ID is unrelated to black inference images caused by weights." + "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": "Different unsupported-argument cases in different pipelines: denoising_end vs num_images_per_prompt." + "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 SD2 and Text2Video-Zero CrossFrameAttention not working are separate pipeline issues." + "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 memory-efficient attention on T4 vs network failure fetching a YAML config are unrelated." + "reason": "xformers behavior on T4 vs a network error fetching a YAML config. Entirely unrelated." }, { "left": "issue:1444", "right": "issue:3152", "accept": false, - "reason": "Different import errors from different packages: StableDiffusionSafetyChecker vs TensorFlow Lite analyzer wrapper." + "reason": "StableDiffusionSafetyChecker import error vs TensorFlow Lite analyzer wrapper import error. Different ecosystems and bugs." } ] }, @@ -13504,10 +13408,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10169", "issue:11045", @@ -13585,12 +13489,12 @@ ], "prepared_review_unit_hash": "82752a503da4f0484f877432c820aecbc9ee4d7d9c6ba873d1288c470a2c2afe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -13605,156 +13509,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is mostly a collection of unrelated issue reports; the soft edges are title-similarity candidates but do not look like the same concrete bug/change, so none should be merged. No PRs are present.", - "confidence": 0.74, - "canonical_issue_reason": "issue:6130 is the broadest LoRA-loading failure report and the best generic target for nearby duplicates.", + "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 most reusable canonical issue among the set because it is broad, symptom-focused, and close to several LoRA-loading reports.", + "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 problems: loading two community pipelines in one process vs an onnx-revision import/load failure." + "reason": "Different failures: community pipeline process-loading vs ONNX revision import in img2img." }, { "left": "issue:2185", "right": "issue:5197", "accept": false, - "reason": "Config-file omission for training vs multi-GPU slowdown; same broad training area but not the same bug." + "reason": "Training config-file omission is unrelated to multi-GPU slowdown/performance behavior." }, { "left": "issue:5014", "right": "issue:6284", "accept": false, - "reason": "Both concern DreamBooth/LoRA training output quality, but one is about missing results and the other about test vs validation discrepancies." + "reason": "Dreambooth LoRA output quality issue is distinct from SDXL LoRA validation/test result mismatch." }, { "left": "issue:5619", "right": "issue:5860", "accept": false, - "reason": "Both mention Tiny Autoencoder, but one is an img2img encode-path failure and the other is a ControlNet pipeline failure." + "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 training failure vs incorrect scheduler step counting; different code paths and symptoms." + "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": "LoRA loading on SDXL AdapterPipeline vs batched seeds in ControlNet/img2img; not the same underlying defect." + "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": "8-bit Adam optimizer training failure vs a DoRA=False TypeError; distinct training issues." + "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": "Both are Flux DreamBooth problems, but one is checkpoint saving and the other is multi-GPU training; different bugs." + "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 involve multi-GPU/TorchDynamo context, but one is a stuck training run and the other is a TorchDynamo error during text-to-image fine-tuning." + "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 vs a mega pipeline img2img/inpainting failure; similar era, different failure modes." + "reason": "Attention slicing on SD2 and stable_diffusion_mega img2img/inpainting are separate pipeline issues." }, { "left": "issue:3451", "right": "issue:3774", "accept": false, - "reason": "Memory regression in fp16 vs no memory savings with zero3; not the same issue." + "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": "from_single_file() requiring accelerate vs broken diffusers-to-.ckpt conversion; different workflows." + "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": "Missing config.json vs missing model_index.json; both are missing-file errors but for different files and load paths." + "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": "OOM in AltDiffusion DreamBooth vs distributed SDXL ControlNet OOM; related class of symptom, not the same bug." + "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 DreamBooth training crash vs LoRA scale having no effect on Flux loading; different stages and likely different fixes." + "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 inpainting vs multi-GPU LoRA sharing problem; different underlying code paths." + "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 astype attribute error vs llm_guided_diffusion bool module error; unrelated exceptions." + "reason": "ONNX img2img Tensor.astype AttributeError is unrelated to llm_guided_diffusion bool/__module__ error." }, { "left": "issue:2941", "right": "issue:3487", "accept": false, - "reason": "General EulerAncestral scheduler quality issue vs strength-dependent inpaint regression; not enough evidence of one shared bug." + "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 mention LoRA loading effects, but one is a generic no-effect report and the other is Flux-specific lora_scale behavior; not clearly the same defect." + "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": "Both are LoRA loading errors, but one is AccVid key errors and the other is a broad generic loading error; insufficient evidence they are the same fix." + "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 vs missing StableDiffusionXLControlNetPipeline import; both import errors, but for different symbols and likely different dependency issues." + "reason": "Missing MT5Tokenizer import from transformers is unrelated to missing StableDiffusionXLControlNetPipeline import from diffusers." }, { "left": "issue:1909", "right": "issue:1974", "accept": false, - "reason": "General generator-list incompatibility across pipelines vs Euler-specific reproducibility failure; overlapping theme, different scope." + "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": "Caption support request vs SDXL support request for animatediff; both feature requests, not the same change." + "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 issues, but one is prior-preservation shape mismatch and the other is checkpoint-resume text-encoder size mismatch." + "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." } ] }, @@ -13773,10 +13677,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10382", "issue:10472", @@ -13858,12 +13762,12 @@ ], "prepared_review_unit_hash": "333f4665592bed45b7c019df73c043c69b5e533e7fc642bfdfcbf0550fbc9c33", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -13878,174 +13782,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the items cover unrelated Diffusers issues (LoRA loading, scheduler behavior, import/dependency errors, Dreambooth/training bugs, quantization, torch.compile, memory/OOM). None of the soft pairs look like the same underlying bug or a mergeable duplicate PR-equivalent change.", - "confidence": 0.97, - "canonical_issue_reason": "No canonical issue stands out because the cluster does not share one underlying bug; it mixes separate problems across different pipelines, backends, and error classes.", + "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": "No single issue is a strong global representative for the cluster, since the topics are too diverse to collapse into one duplicate family.", + "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": "Both are import/runtime incompatibility failures, but one is a NumPy binary ABI error during scheduler import and the other is a StableDiffusionXLControlNetPipeline dtype error; different root causes and code paths." + "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": "Unconditional training script failure vs SDXL Adapter pipeline LoRA-loading bug; same broad area only, not the same defect." + "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": "Different files and failures: attention_processor unpacking error versus transformer_temporal bug." + "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 touch Dreambooth training, but one is about reading instance data and the other about checkpoint folder structure; distinct problems." + "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 cache loading and Dreambooth checkpoint save/load with text_encoder are different behaviors and failure modes." + "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": "LoRA loading failure in an SDXL adapter pipeline is unrelated to the 4-channel UNet inpaint incompatibility." + "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": "Both involve schedulers, but one is a t=0 add_noise crash and the other is DPM++ artifacting; not the same underlying bug." + "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 dependency/API breakages: transformers FeatureExtractionMixin missing versus PNDMScheduler lacking set_format." + "reason": "Different import/API regressions: FeatureExtractionMixin missing vs PNDMScheduler lacking set_format." }, { "left": "issue:4256", "right": "issue:4534", "accept": false, - "reason": "General SDXL Dreambooth failure versus an MPS validation crash; not the same concrete issue." + "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": "Both are Dreambooth-related, but one concerns instance-data ingestion and the other output contents; too different to be duplicates." + "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 bugs: resolution-change failure after first run versus add_noise failing at t=0." + "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, but one is an IP-Adapter key error after training and the other is an rslora save/load problem; distinct code paths." + "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 malfunction and export_to_video behavior are unrelated." + "reason": "Training script failure vs export_to_video behavior; unrelated code paths." }, { "left": "issue:10472", "right": "issue:6536", "accept": false, - "reason": "Unexpected lora_bias kwarg during LoRA inference versus an UNet3D OOM; different errors and subsystems." + "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": "New embeddings loading request and missing from_single_file support are separate feature gaps." + "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": "Encoder return-type mismatch causing AttributeError versus a transformer_temporal bug; different failure sites." + "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": "StableDiffusionMegaPipeline model compatibility issue versus memory not clearing after moving pipeline to CUDA." + "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 unexpected-kwarg errors, but the kwargs and affected call sites differ (`offload_state_dict` vs `device_map`), so they are not the same bug." + "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": "Flux scheduler incompatibility and batched-seed behavior in ControlNet/Img2Img are unrelated." + "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, but one is a Wan 2.2 channels_last/Dynamo failure and the other is a generic hasattr TensorVariable unsupported case." + "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 concern LoRA loading, but one is Quanto Flux LoRA loading and the other is SDXL ControlNet Img2Img LoRA loading; not the same code path." + "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": "Different FLUX model/pipeline problems: Canny-dev LoRA loading versus FLUX.1-Fill-dev runtime issues." + "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": "General memory issues versus a specific UNet3D out-of-memory problem; too broad to treat as duplicates." + "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": "Both touch quantization, but one is bitsandbytes 8-bit `.to()` support on a specific model and the other is torchao >= 0.16.0 unsupported; different backends and bugs." + "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": "Separate dependency import failures in different libraries: transformers tokenizer import versus accelerate hook import." + "reason": "Import errors from different dependency packages: transformers MT5Tokenizer vs accelerate.hooks CpuOffload." }, { "left": "issue:1377", "right": "issue:3152", "accept": false, - "reason": "Completely different missing-symbol/import errors from unrelated packages." + "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 custom diffusion, but one is precision casting for an attention processor and the other is cross-attention weight loading in AttendAndExcite; not the same defect." + "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." } ] }, @@ -14064,10 +13968,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10180", @@ -14147,12 +14051,12 @@ ], "prepared_review_unit_hash": "3c124435ad4ec2cbb77478f8f1864611b0eb78ac9e9008ed81275472e309148f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -14167,168 +14071,168 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly about Flux/LoRA/controlnet loading failures, especially under quantization, with a few unrelated training/scheduler bugs mixed in. I\u2019d center it on the Flux LoRA/quantization load path rather than the more generic training or OOM reports.", - "confidence": 0.79, - "canonical_issue_reason": "issue:10989 is the most representative and actionable of the main cluster theme: Flux ControlNet LoRA failing to load when the transformer is quantized.", + "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 best summarizes the recurring Flux LoRA/loading-under-quantization problem seen across the related Flux reports.", + "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 involve DreamBooth/LoRA, but one is about poor training results and the other is a specific TypeError with use_dora; not the same bug." + "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 describe the same from_ckpt loading failure; 3595 reads like a follow-up/duplicate of the earlier dev-version regression report." + "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": "Different problems: generic bad DreamBooth LoRA results vs SDXL text encoder training with use_dora=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 are Flux LoRA load issues, but one is specifically quantization-related ControlNet loading and the other is a pipeline-specific Canny LoRA load failure; too broad to merge." + "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 failures: a LoRA training script error vs DreamBooth example network errors when using a pretrained model." + "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": "Both are example-script issues, but they target different pipelines and failures; not the same underlying bug." + "reason": "from_single_file accelerate dependency issue vs an unrelated unconditional training script problem." }, { "left": "issue:10180", "right": "issue:4885", "accept": false, - "reason": "Both mention LoRA loading in control-style pipelines, but one is multiple LoRAs with Flux Control LoRA and the other is SDXL ControlNet img2img not loading weights; different code paths." + "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": "Both concern from_single_file, but one needs accelerate and the other is a v_prediction regression; distinct defects." + "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 during training, but one is text-to-image finetuning and the other is SDXL dataset mapping; different bottlenecks." + "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": "Completely different APIs and errors: missing from_single_file attribute vs scheduler.set_format attribute." + "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 loading errors, but one is LoRA loading into an NF4-quantized Flux Fill pipeline and the other is model loading with specific flags; not clearly the same bug." + "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 unexpected-argument failures on different APIs; same symptom, different underlying issues." + "reason": "Different missing-argument API errors (`eta` vs `callback_on_step_end`) in different pipelines." }, { "left": "issue:10653", "right": "issue:11352", "accept": false, - "reason": "Related bitsandbytes CPU-move behavior, but one is a hard unsupported .to() error on a specific model and the other is a warning/behavior issue for pipelines; not the same fix." + "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": "Different signatures and different missing arguments; not the same code path." + "reason": "Completely different model API errors: xformers attention signature vs missing pooled_projection." }, { "left": "issue:11585", "right": "issue:4483", "accept": false, - "reason": "Unrelated outcomes: subjective result quality vs generator nondeterminism." + "reason": "A subjective output-quality complaint is not the same as a determinism bug." }, { "left": "issue:2482", "right": "issue:3604", "accept": false, - "reason": "Both mention training loss, but one is non-convergence and the other is a general loss-not-decreasing report; too vague to treat as one bug." + "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 they affect different examples and stages (validation vs finetune run); not the same concrete issue." + "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." + "reason": "Training loss NaN and multi-GPU performance regression are unrelated issues." }, { "left": "issue:7378", "right": "issue:9170", "accept": false, - "reason": "Different memory concerns in different pipelines; one is latent decoding overhead, the other is SDXL+ControlNet VRAM requirements." + "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": "Different Flux issues: missing model_index.json for a Fill example vs a model-architecture mismatch claim." + "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 network fetch failure for a community script is not the same as a bug in a specific example file line." + "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 scheduler-related, but they concern different schedulers and different failures." + "reason": "Both are scheduler bugs, but they affect different schedulers and different numerical edge cases." }, { "left": "issue:11241", "right": "issue:9546", "accept": false, - "reason": "Both are Flux ControlNet training issues, but one is a floating point exception and the other is validation OOM; different failures." + "reason": "Floating point exception during Flux ControlNet training vs validation-step OOM; different failure modes." }, { "left": "issue:11408", "right": "issue:5621", "accept": false, - "reason": "Different adapter/model-support limitations: compiled-model set_adapters vs ControlNet encoder_hid_proj support." + "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": "Different bugs in unrelated pipelines: generator-list nondeterminism vs multi-ControlNet layer-length mismatch." + "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 chosen center issue (10989) fits the dominant Flux/LoRA/controlnet-loading theme, and the one accepted soft edge (3450/3595) is supported by near-identical from_ckpt failure titles. The rejected pairs are generally cautious and do not overclaim duplication." + "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, @@ -14344,10 +14248,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1070", "issue:10804", @@ -14427,12 +14331,12 @@ ], "prepared_review_unit_hash": "cbd696c0f32312decf3ce21663d7e0e80826c294848e77b60919c9041f529da6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -14447,172 +14351,169 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous and mostly contains unrelated bug reports around LoRA loading, SDXL training, and controlnet/pipeline issues. There is no strong single canonical item; issue 6130 is the broadest LoRA-loading report, but overall cohesion is weak. Only one soft edge looks like the same underlying incompatibility.", - "confidence": 0.68, - "canonical_issue_reason": "Issue 6130 is the most generic and central wording among the LoRA-loading reports, so it is the best representative if a canonical issue is required. That said, the cluster is too mixed to have a truly natural canonical issue.", + "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 broadest, most reusable issue title in the largest apparent sub-theme (LoRA loading failures), with enough discussion to serve as a representative anchor.", + "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": true, - "reason": "Both report the same gradient-checkpointing + DeepSpeed ZeRO3 training incompatibility/failure, likely the same code path." + "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 matmul failure in Dreambooth and the other is a separate SDXL Dreambooth error; too broad to be the same bug." + "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": "Unrelated new-pipeline request vs a separate higher-resolution generation method; different features and code paths." + "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": "Different unexpected-keyword failures in different APIs; same error shape but not the same underlying bug." + "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 involve SDXL/controlnet training, but one is distributed OOM and the other is a generic example-train error; not enough to treat as one bug." + "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": "Black image output vs wrong image size after ckpt conversion are distinct defects." + "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": "One is an inpainting bug, the other is a model access/load problem for the inpainting repo; different failure modes." + "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": "SDXL refiner image artifacts are not the same issue as DPM++ scheduler artifacts without the refiner." + "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": "Both are example-script requests, but for different training tasks and not the same underlying change." + "reason": "These are separate feature requests for different training scripts (InstructPix2Pix vs T2I adapters)." }, { "left": "issue:11585", "right": "issue:2296", "accept": false, - "reason": "General bad-result complaint vs xformers not working on T4; no clear same bug." + "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 mention FLUX LoRA loading, but one is a ComfyUI-compatible LoRA load failure and the other is a specific FluxControlPipeline load failure; not enough to merge strictly." + "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": "Different training-argument/channel errors in different scripts and contexts." + "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 training, but one is about text encoder training support and the other about A1111 compatibility; not the same bug." + "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 issues, but 11062 is a specific CivitAI LoRA failure and 6130 is a generic load error; insufficient evidence they are the same bug." + "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": "A community pipeline request and a separate new pipeline proposal; not the same change." + "reason": "Different feature requests for different pipelines (CLIPSeg+SD vs Stable Diffusion Reference Only)." }, { "left": "issue:1672", "right": "issue:490", "accept": false, - "reason": "Wrong output size after conversion is unrelated to general memory issues in diffusers." + "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": "Pruna integration request and device-map/accelerate memory-reduction proposal are different feature ideas." + "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": "SDXL OOM during fine-tuning and an EMAModel parallel-fine-tuning error are different failures." + "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 affect the same training script, but one is checkpoint-resume failure and the other is a SIGKILL during training; not the same concrete bug." + "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": "Tokenizer loading for SD3 text models is unrelated to loading SDXL ControlNet models from local paths." + "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": "Different pipeline capability issues: denoising_end support vs multiple ControlNets on Flux." + "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 bug vs ONNX runtime dependency issue; unrelated." + "reason": "Inpainting model issue vs ONNX/CUDA runtime dependency issue; unrelated subsystems." }, { "left": "issue:4061", "right": "issue:6176", "accept": false, - "reason": "Both are LoRA-related, but one is an SDXL load error and the other is loading weights after Dreambooth training; not the same failure." + "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 memory/VRAM complaints, but about different pipelines and different symptoms." + "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 mention SDXL training and OOM, but one is BF16 end-of-training OOM and the other is Flux Dreambooth guidance causing OOM; not the same concrete bug." + "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": { - "accept": true, - "feedback": "The cluster summary is well-grounded and appropriately conservative. The canonical anchor choice of issue 6130 is defensible as the broadest LoRA-loading report, and the note that cohesion is weak matches the packet. The single accepted soft edge (4006/4916) is a reasonable same-bug pairing, and the remaining rejections stay on the cautious side without overstating evidence." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -14624,10 +14525,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10282", @@ -14708,12 +14609,12 @@ ], "prepared_review_unit_hash": "7699020fdb07eede8b06a675c0209b0d6b9281b74099c55ad05b38d47584a339", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -14728,168 +14629,168 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose collection of model-loading, training, and memory issues across SD/SDXL, Flux, LoRA, ControlNet, and IP-Adapter; the soft pairs are mostly superficial title matches rather than duplicates.", - "confidence": 0.82, - "canonical_issue_reason": "issue:9343 is the most central and active representative of the cluster\u2019s main theme: Flux loading failures with mismatched sizes/meta-tensor paths and explicit loading flags.", + "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": "issue:9343 is the clearest exemplar of the recurring Flux/model-loading bug class in this set and is open with substantial discussion, making it the best cluster anchor.", + "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 a training script vs checkpoint retention argument handling." + "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, but one is a LoRA sharing/correctness bug and the other is a performance discrepancy." + "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": "Related API area, but one is a bad `num_in_channels` load behavior and the other is a missing `from_single_file()` method." + "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 load-time errors, but the failures differ: shape mismatch vs meta-tensor copy failure." + "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": "Attention slicing incompatibility is unrelated to Colab/minimal-loading failure." + "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, but one is a DreamBooth-LoRA training crash and the other is a model-loading mismatch path." + "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": "Different subsystems and symptoms: ControlNet pipeline integration vs BF16 DreamBooth support." + "reason": "ControlNet inpaint pipeline integration issue vs BF16 dreambooth support; different code paths and symptoms." }, { "left": "issue:5319", "right": "issue:7157", "accept": false, - "reason": "LoRA loading performance optimization is not the same as unexpected-keys correctness on LCM LoRA load." + "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": "Both touch LoRA loading, but they describe different models and distinct failure modes." + "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 training is unrelated to resume-time dataset key errors." + "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": "Train-script xformers support and model conversion are unrelated bugs." + "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 in `load_checkpoint_and_dispatch` is a different code-path issue than the SDXL reference pipeline hook bug." + "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 they target different pipeline families and are not the same change." + "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": "Both concern saved LoRA artifacts, but one is text-encoder saving in DreamBooth-LoRA and the other is rslora serialization." + "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": "ControlNet inpaint strength handling is unrelated to Text2Video-Zero cross-frame attention." + "reason": "Different pipelines and bugs: ControlNet inpaint strength handling vs Text2Video-Zero CrossFrameAttention." }, { "left": "issue:3884", "right": "issue:7728", "accept": false, - "reason": "Different training scripts and different failure contexts; not the same underlying bug." + "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": "Completely different model families and error types: invalid reshape vs huge buffer allocation." + "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 are OOM reports in SDXL, but one is dataset mapping and the other is general fine-tuning memory usage." + "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": "Scheduler generator reproducibility and LCM img2img encoding are unrelated." + "reason": "Euler scheduler generator-list reproducibility bug is unrelated to AutoencodeTiny/LCM image-encoding failure." }, { "left": "issue:2459", "right": "issue:3619", "accept": false, - "reason": "No shared bug: xformers in a LoRA training script vs Text2Video-Zero attention implementation." + "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 mention DeepSpeed stage 3, but they concern different training scripts and different breakages." + "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": "Accelerate dispatch/named-parameters failure is unrelated to Flux LoRA scaling behavior." + "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 related, but they are different pipeline support requests, not the same fix." + "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 scheduler initialization and DPM++ add_noise edge-case are unrelated bugs." + "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 placement on one device vs multi-GPU training OOM are different problems." + "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": "Same broad IP-Adapter area, but different pipelines and distinct numerical failures." + "reason": "IP-Adapter plus attention slicing vs IP-Adapter matmul size mismatch in a different pipeline; not the same concrete failure." } ] }, @@ -14911,7 +14812,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10337", @@ -14989,14 +14890,14 @@ "issue:5757|issue:8659", "issue:3884|issue:6086" ], - "prepared_review_unit_hash": "dfab6d643699c7335cf732b48d11c9300ad7dfdad7efa254d9281c7595112473", + "prepared_review_unit_hash": "794f3cca398046a0d53b2534f632a4a71917c9e0bc1dd2fd0660ee2ed54334e6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -15011,169 +14912,172 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The items are mostly unrelated issue reports; the soft-similarity pairs usually share a subsystem or symptom but not the same concrete bug. I did not find any PRs in the cluster.", - "confidence": 0.34, - "canonical_issue_reason": "Issue 12689 is the clearest, most concrete bug report in the set and best represents the LoRA-loading subset of these issues.", + "summary": "This cluster is mostly a loose collection of unrelated Diffusers issues. Only a few pairs look like true duplicates: the train_dreambooth validation-image bug, the SD3ControlNetModel non-power-of-two size mismatch, and the IP-Adapter FaceID support issue.", + "confidence": 0.71, + "canonical_issue_reason": "issue:6415 is the clearest representative of one of the real duplicate-like subclusters: it is explicit about IP-Adapter FaceID/FaceID-plus support, broad enough to anchor the related reports, and has the most discussion context among that group.", "canonical_pr_reason": null, - "best_issue_reason": "It has a specific failure mode, a clear scope, and is easier to use as a reference point than the more generic or feature-request-style issues.", + "best_issue_reason": "issue:6415 is the best overall issue in this set to keep as the canonical anchor because it is concrete, clearly scoped, and the most discussion-rich of the near-duplicate FaceID/IP-Adapter reports.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:11145", "right": "issue:9599", "accept": false, - "reason": "Both mention FLUX/LoRA, but one is a feature/support request and the other is about missing LoRA-only finetune examples; not the same bug." + "reason": "Both mention FLUX LoRA, but one is a support request for Flux Fill LoRA/dreambooth finetuning and the other asks for a LoRA-only example; not the same bug or change." }, { "left": "issue:4557", "right": "issue:6741", "accept": false, - "reason": "Different AttributeError roots in different code paths; too generic to treat as the same defect." + "reason": "Both are generic AttributeError reports, but they are about different missing attributes in different code paths and do not look like one underlying defect." }, { "left": "issue:4256", "right": "issue:6073", "accept": false, - "reason": "Both are dreambooth training problems, but the titles point to separate error reports with no clear shared code-path failure." + "reason": "Both involve dreambooth training, but one is a specific SDXL training error and the other is a beginner\u2019s general error while following README instructions; too broad to merge." }, { "left": "issue:12104", "right": "issue:12656", "accept": false, - "reason": "Both are out-of-bounds errors, but they affect different models and likely different indexing logic." + "reason": "Both mention out-of-bounds indexing, but one is a generic IndexError and the other is a specific AuraFlow positional-embedding bug; likely different defects." }, { "left": "issue:10154", "right": "issue:9525", "accept": false, - "reason": "Both involve LoRA/Flux loading, but one is an attribute error and the other is lora_scale being ignored; not the same bug." + "reason": "Both concern Flux LoRA loading, but one is an attribute-error failure on load_lora_weights and the other is lora_scale having no effect; different symptoms and likely different fixes." }, { "left": "issue:12141", "right": "issue:1552", "accept": false, - "reason": "Different pipelines and different precision/attention-slicing failures; no concrete match." + "reason": "These are unrelated dtype/precision and attention-slicing problems in different pipelines; not the same underlying bug." }, { "left": "issue:10952", "right": "issue:12689", "accept": false, - "reason": "Both are LoRA-loading related, but one is an adapter-name mismatch in a specific pipeline while the other says weights are not loaded from checkpoints; not clearly the same bug." + "reason": "Both are LoRA-loading related, but one is an adapter-name mismatch in SDXL long-prompt weighting and the other is weights not being loaded from checkpoints; not the same concrete issue." }, { "left": "issue:8556", "right": "issue:9443", "accept": false, - "reason": "Both are SD3 loading problems, but one is a meta-tensor copy failure and the other is tokenizer instantiation from slow version; different failure points." + "reason": "One is a meta-tensor copy failure when loading SD3 from single file, the other is a tokenizer instantiation problem; different code paths." }, { "left": "issue:11436", "right": "issue:6082", "accept": false, - "reason": "Both are dtype mismatches, but they involve different models and different tensor-type errors." + "reason": "Both are dtype mismatch errors, but they occur in different models/pipelines and are not clearly the same bug." }, { "left": "issue:6415", "right": "issue:8817", - "accept": false, - "reason": "One is a support request for FaceID/FaceID-plus, the other is a usage/problem report; not the same underlying bug." + "accept": true, + "reason": "Both are about IP-Adapter FaceID not working / not being supported, so they appear to describe the same missing-feature bug." }, { "left": "issue:10337", "right": "issue:13300", "accept": false, - "reason": "Different scenarios: quantized transformers with IP-Adapter versus CPU generation failures for SD3.5/FLUX." + "reason": "These are different model/runtime problems: quantized-transformer FLUX IPAdapter failure versus CPU generation failures for SD3/FLUX." }, { "left": "issue:4086", "right": "issue:684", "accept": false, - "reason": "Different subsystems and symptoms; one is ControlNet training, the other AMD memory optimization." + "reason": "Both touch training or hardware compatibility, but one is SDXL ControlNet training and the other is AMD memory optimizations; unrelated." }, { "left": "issue:1261", "right": "issue:222", "accept": false, - "reason": "Issue 222 is too generic to confidently match the specific xformers backward-pass assertion." + "reason": "The xformers backward assert is a specific attention-kernel bug, while the training runtime error report is too generic and not the same issue." }, { "left": "issue:10542", "right": "issue:11006", "accept": false, - "reason": "Both are video-model issues, but they concern different models and different failure modes." + "reason": "Both are video-model issues, but they involve different pipelines and failure modes (batching vs quantized-transformer output corruption)." }, { "left": "issue:2838", "right": "issue:8482", "accept": false, - "reason": "One is a ControlNet pipeline feature/request, the other is SD3-medium support; unrelated." + "reason": "One requests ControlNet pipeline behavior, the other asks for SD3-medium model support; different feature requests." }, { "left": "issue:1614", "right": "issue:4104", "accept": false, - "reason": "Both mention black images, but the pipelines and reported causes differ; not enough to merge." + "reason": "Both mention black output / casting, but the reported contexts and code paths differ enough that they do not clearly share one root cause." }, { "left": "issue:11127", "right": "issue:9861", "accept": false, - "reason": "One is a single-file FLUX loading problem, the other is training not updating the transformer; different bug classes." + "reason": "One is about single-file FLUX loading failure, the other about Flux training not updating the transformer; different stages and likely different fixes." }, { "left": "issue:4316", "right": "issue:5037", - "accept": false, - "reason": "Both involve validation in dreambooth scripts, but one is a general validation-option failure and the other is specifically a second validation image argument issue." + "accept": true, + "reason": "Both are train_dreambooth.py validation-image failures, with the second validation image option triggering the same kind of error." }, { "left": "issue:1478", "right": "issue:1614", "accept": false, - "reason": "Different pipelines and symptoms: upscale multi-image output versus black-image autocast behavior." + "reason": "One is an upscale pipeline multi-output limitation and the other is a black-image/autocast issue; not the same bug." }, { "left": "issue:2549", "right": "issue:3420", "accept": false, - "reason": "Different model/pipeline incompatibilities with no clear shared defect." + "reason": "These involve different pipelines and failures; the titles do not point to one shared underlying code-path problem." }, { "left": "issue:1672", "right": "issue:2296", "accept": false, - "reason": "Unrelated problems: image-size conversion bug versus xformers not working on T4." + "reason": "Image-size conversion errors and xformers memory-efficient attention failures are unrelated." }, { "left": "issue:2904", "right": "issue:4557", "accept": false, - "reason": "Different pipelines and different attribute errors; no shared underlying bug." + "reason": "Different AttributeError contexts in different pipelines; no sign of a shared underlying defect." }, { "left": "issue:5607", "right": "issue:8667", - "accept": false, - "reason": "Both are tensor-size mismatch reports, but one is generic and the other is specific to non-power-of-two images in SD3ControlNetModel." + "accept": true, + "reason": "The titles describe the same tensor-size-mismatch bug for non-power-of-two images in SD3ControlNetModel." }, { "left": "issue:5757", "right": "issue:8659", "accept": false, - "reason": "Both mention checkpoint resume, but they are different scripts with additional distinct inference/loading behavior in 8659." + "reason": "Both mention checkpoint resume issues, but they are different scripts and 8659 also includes inference-loading problems; not clearly the same bug." }, { "left": "issue:3884", "right": "issue:6086", "accept": false, - "reason": "Same training script family, but one is a generic error and the other is a specific FP16 gradient unscale failure; not the same bug." + "reason": "Both concern train_text_to_image_lora.py, but one is a generic error report and the other is a specific FP16 gradient unscale issue; not enough to treat as duplicates." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The three accepted duplicate-like pairs are well supported by the issue titles, and the rejected soft pairs are mostly framed cautiously with reasonable distinctions. Canonical anchoring on issue:6415 is also defensible given the discussion activity and the FaceID/IP-Adapter subcluster." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -15185,10 +15089,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10055", "issue:10640", @@ -15266,12 +15170,12 @@ ], "prepared_review_unit_hash": "b64a33e49e6f3b3620aebd705cf0f3cde94908131be539fad2acb16d89023b11", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -15427,10 +15331,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10673", "issue:1082", @@ -15509,12 +15413,12 @@ ], "prepared_review_unit_hash": "6262e8414168cba15c27fda93922fdc4e7b05d132f1652b9aefcf182e67f758d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -15703,10 +15607,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10266", "issue:10453", @@ -15785,12 +15689,12 @@ ], "prepared_review_unit_hash": "c697d7a1a594387a6129bbeca017eb9128f0a3e909d97a708883d62bb61bb1d1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -15982,10 +15886,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10150", "issue:10180", @@ -16065,12 +15969,12 @@ ], "prepared_review_unit_hash": "0e30def0ff333ba406688f1a9a7a8b778d1c095d07c490610778bbf8b72d2dac", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -16259,10 +16163,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10180", "issue:10518", @@ -16341,12 +16245,12 @@ ], "prepared_review_unit_hash": "7e0ffae3caefff71bff55d6a6a26c70661f3cbf75cb76248f4a87075435de566", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -16529,10 +16433,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10266", @@ -16610,12 +16514,12 @@ ], "prepared_review_unit_hash": "1111e93d49dff33abe159346e6c22eb2a47ea48c69f62b3de36c33462537253e", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10226", "issue:10472", @@ -17161,12 +17065,12 @@ ], "prepared_review_unit_hash": "eebd36e65174c35c6fed23c8e7d4c7f74ef3f99b72702aa8c49eb176a47a79b3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -17355,10 +17259,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10055", "issue:1033", @@ -17438,12 +17342,12 @@ ], "prepared_review_unit_hash": "d01afacd7494aa78fd21b5da7ccaa9713c7e743075ebf4336b6a702f8eccfc1c", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10026", @@ -17984,12 +17888,12 @@ ], "prepared_review_unit_hash": "d959af8e30b50a4dbbf93c45a51626de6f2c6598b95b8ecb490b4a449e268186", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -18172,10 +18076,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10282", "issue:10689", @@ -18254,12 +18158,12 @@ ], "prepared_review_unit_hash": "d69af19c9591d8a80c79a684948dbfc109d07d2e24bebef5ac374c53ce58244b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -18448,7 +18352,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11033", "issue:11149", @@ -18527,14 +18431,14 @@ "issue:7267|issue:9667", "issue:3296|issue:7229" ], - "prepared_review_unit_hash": "3e35ae7d8dbf62ff593f7d24248cb503dbfb2ce64b87dba3efc35f77deab351e", + "prepared_review_unit_hash": "9cac7a00a66d80b3ca4a5c02bf77250fc6bdcb5b2419c50b5c3b2499183a6283", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -18549,174 +18453,174 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is a noisy cluster of mostly unrelated loading/training bugs. Only the `class_labels should be provided when num_class_embeds > 0` reports look like a true duplicate-style match; the rest are too specific or too different to merge.", - "confidence": 0.79, - "canonical_issue_reason": "Issue 3401 is the clearest canonical bug report: it states the exact `class_labels` validation error and matches issue 3573\u2019s same failure message in another pipeline.", + "summary": "Mostly unrelated issues with one strong duplicate pair around the `class_labels` / `num_class_embeds` error. The other soft matches are broad title similarities, not the same concrete bug.", + "confidence": 0.76, + "canonical_issue_reason": "Issue 3401 is the best canonical issue because it states the core bug generally (`class_labels should be provided when num_class_embeds > 0`), while 3573 is a narrower pipeline-specific report of the same error.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 3401 is the best issue anchor because it is precise, actionable, and has a strong duplicate-style counterpart, making it the most representative bug report here.", + "best_issue_reason": "3401 is the most suitable global issue to anchor the duplicate pair: it names the root condition directly and is broader than the local upscaler manifestation.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:3761", "right": "issue:8956", "accept": false, - "reason": "Both are loading failures, but one is about loading multiple community pipelines in one process and the other is about a specific SDXL model load error; not the same bug." + "reason": "Different failures: multi-community pipeline loading in one process vs a model load failure in OVStableDiffusionXLPipeline." }, { "left": "issue:1335", "right": "issue:859", "accept": false, - "reason": "Both are constructor/API errors, but they involve different pipeline classes and different missing/extra arguments." + "reason": "Both are init/signature errors, but they involve different missing/unsupported arguments and different pipeline classes." }, { "left": "issue:1883", "right": "issue:8482", "accept": false, - "reason": "These are unrelated: VAE gradient checkpointing support versus SD3 model support." + "reason": "VAE gradient-checkpointing support vs a request for SD3 model support; not the same bug." }, { "left": "issue:8887", "right": "issue:9101", "accept": false, - "reason": "Both mention SD3 training, but one is a concrete VAE-encode bug and the other is a request for an InstructPix2Pix training script; not the same change." + "reason": "One is a wrong VAE encode bug in SD3 training; the other is a feature/support request for a different SD3 training script." }, { "left": "issue:234", "right": "issue:2471", "accept": false, - "reason": "Different pipeline limitations: half-precision instability versus Attend-and-Excite size handling." + "reason": "Half-precision runtime problems and a size-specific Attend-and-Excite issue are unrelated." }, { "left": "issue:11585", "right": "issue:4186", "accept": false, - "reason": "A generic poor-results report is not the same as a specific SDXL inpaint/refiner failure." + "reason": "Generic Web UI dissatisfaction vs a specific SDXL inpaint/refiner failure." }, { "left": "issue:1552", "right": "issue:7666", "accept": false, - "reason": "Different code paths and symptoms: attention slicing in SD2 versus `from_single_file` loading for a custom SDXL pipeline." + "reason": "Attention slicing on SD2 and `from_single_file` custom pipeline loading are different code paths and symptoms." }, { "left": "issue:11033", "right": "issue:1976", "accept": false, - "reason": "Both are loading-related, but one is SD1.5 UNet `from_single_file` loading and the other is a tokenizer path lookup problem; not the same bug." + "reason": "Both mention loading, but one is SD1.5 `from_single_file` UNet loading and the other is a tokenizer path lookup error." }, { "left": "issue:1976", "right": "issue:490", "accept": false, - "reason": "Tokenizer file lookup and memory usage are unrelated failures." + "reason": "Tokenizer config lookup error vs a memory-usage complaint; no shared underlying bug." }, { "left": "issue:4000", "right": "issue:7708", "accept": false, - "reason": "Both touch model conversion/loading, but one is ckpt-to-diffusers conversion and the other is missing tokenizer config for SDXL; too different." + "reason": "Checkpoint conversion to diffusers format is not the same as an SDXL tokenizer config missing-file error." }, { "left": "issue:4030", "right": "issue:9941", "accept": false, - "reason": "A v2.1 embedding runtime error is not the same as a generic Colab execution failure." + "reason": "A v2.1 embedding runtime error and a generic Colab failure are too different to be duplicates." }, { "left": "issue:3401", "right": "issue:3573", "accept": true, - "reason": "Same exact `class_labels should be provided when num_class_embeds > 0` error; the second report is the same underlying bug surfacing in a specific pipeline." + "reason": "Same underlying bug: both report the `class_labels should be provided when num_class_embeds > 0` error; 3573 is just the local upscaler manifestation." }, { "left": "issue:7589", "right": "issue:8686", "accept": false, - "reason": "Different features and failures: GLIGEN layout-to-image versus SDXL ControlNet callback handling." + "reason": "GLIGEN layout-to-image failure and SDXL ControlNet callback issues are separate problems." }, { "left": "issue:13274", "right": "issue:8989", "accept": false, - "reason": "Both involve Stable Audio, but one is an AMD recursion error and the other is a sequential offloading bug; not the same issue." + "reason": "Both involve Stable Audio, but one is an AMD recursion error and the other is a sequential offloading bug; different failure modes." }, { "left": "issue:11464", "right": "issue:4697", "accept": false, - "reason": "Both are LoRA loading complaints, but they refer to different models and different failure contexts." + "reason": "Both are LoRA loading complaints, but they concern different models/pipelines and likely different fixes." }, { "left": "issue:1946", "right": "issue:4701", "accept": false, - "reason": "Both are CUDA-related, but xformers invalid-argument errors and AutoencoderKL float32 differentiation errors are different bugs." + "reason": "Different CUDA issues: xformers invalid-argument vs AutoencoderKL float32 differentiation error." }, { "left": "issue:3235", "right": "issue:8885", "accept": false, - "reason": "Both are Custom Diffusion-related, but one is about weights with biases not loading and the other is about example setup/modifier token loading." + "reason": "Custom Diffusion weight-loading failure vs a Colab dependency/modifier-token setup problem." }, { "left": "issue:4304", "right": "issue:6388", "accept": false, - "reason": "One is a feature request for SDXL LoRA training; the other is a checkpointing bug." + "reason": "SDXL LoRA training support request vs gradient-checkpointing being ignored; not the same bug." }, { "left": "issue:5014", "right": "issue:9179", "accept": false, - "reason": "Different training setups and different reported problems; too broad to be duplicates." + "reason": "Generic bad training results in Web UI vs sdxl+controlnet training correctness; too broad and different." }, { "left": "issue:8805", "right": "issue:9913", "accept": false, - "reason": "An SDXL conversion script failure and a LoRA device-setting issue are unrelated." + "reason": "A conversion script regression and a `set_lora_device` behavior report are unrelated." }, { "left": "issue:5798", "right": "issue:859", "accept": false, - "reason": "Both are unexpected-argument errors, but the arguments and affected pipelines differ." + "reason": "Unexpected callback kwarg vs unexpected device_map kwarg are different API incompatibilities." }, { "left": "issue:817", "right": "issue:964", "accept": false, - "reason": "Mixed precision in DreamBooth and inpainting example failures are unrelated." + "reason": "Mixed-precision dreambooth vs inpainting example failure; no shared code-path evidence." }, { "left": "issue:11149", "right": "issue:5798", "accept": false, - "reason": "Different unexpected keyword arguments in different components; not the same code-path bug." + "reason": "Different unexpected-keyword errors in unrelated APIs." }, { "left": "issue:5488", "right": "issue:7589", "accept": false, - "reason": "A demo script failure is not the same as a GLIGEN pipeline issue." + "reason": "Demo image generation failure and GLIGEN layout-to-image failure are not the same defect." }, { "left": "issue:7267", "right": "issue:9667", "accept": false, - "reason": "Local data loading in train_controlnet.py and a FLUX fp8 loading error are unrelated." + "reason": "Local data loading in ControlNet training vs Flux fp8 loading failure are distinct issues." }, { "left": "issue:3296", "right": "issue:7229", "accept": false, - "reason": "Both concern checkpoint saving, but one is specifically train_dreambooth with text_encoder and the other is a broader advanced-training checkpoint issue; not clearly the same bug." + "reason": "Both mention checkpoints, but one is DreamBooth text-encoder save/load and the other is a broader advanced-training checkpoint issue; not clearly the same bug." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is conservative and grounded in the packet. The only accepted soft-edge match, issue:3401 vs issue:3573, is the one pair with clearly overlapping `class_labels` wording, and the rest of the pairs are rejected with appropriately cautious reasoning." + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The one accepted duplicate, issue:3401 vs issue:3573, is well supported by the shared `class_labels should be provided when num_class_embeds > 0` error. No overstatement stands out." }, "evaluator_used": true, "retried": false, @@ -18732,10 +18636,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1070", "issue:10712", @@ -18813,12 +18717,12 @@ ], "prepared_review_unit_hash": "44e609b81163eb9707edf748386e8995dfed5f70daa29ab1fa616d6fe8fae3e6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -19004,10 +18908,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:1084", @@ -19085,12 +18989,12 @@ ], "prepared_review_unit_hash": "ee680fe862e8fc4464e11401e71b80eb17cdb9280957c1c1121cfddadd90a5a9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -19273,10 +19177,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1037", "issue:10472", @@ -19355,12 +19259,12 @@ ], "prepared_review_unit_hash": "0f88e6547e1a861291b8f4fcfd82a9a5636a1d87c069f071e392de3c74c051ca", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -19543,10 +19447,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10169", "issue:10382", @@ -19624,12 +19528,12 @@ ], "prepared_review_unit_hash": "966697e66ab25c93edb4216f3c3855918a5a79019e0376f2031819bc87762688", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -19818,7 +19722,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10594", @@ -19896,14 +19800,14 @@ "issue:1604|issue:3774", "issue:2091|issue:6146" ], - "prepared_review_unit_hash": "71811ca40d1df4f313789a4a1de3461a5de4caabfecd8d61c9276097cee65601", + "prepared_review_unit_hash": "15d6b9c8705174b6ab25fc6931135cd714fc0bebec47f8ce364de246ed5378d0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -19918,162 +19822,150 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous: it mixes unrelated LoRA, ControlNet, training, tokenizer, and shape/indexing bugs. The only somewhat coherent mini-theme is LoRA/load_lora_weights, but the soft pairs still do not look like true duplicates or mergeable PR-equivalents.", - "confidence": 0.39, - "canonical_issue_reason": "issue:3811 is the best representative of the only coherent subtopic in the set (load_lora_weights / LoRA loading), and its wording is broad enough to cover nearby reports like 10154 and 5227.", + "summary": "This cluster is highly heterogeneous: it mixes unrelated issues about LoRA loading, FLUX/ControlNet, training/checkpointing, tokenizer/import failures, and model-specific runtime errors. None of the soft pairs look like the same concrete bug or change, so all are rejected as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": "No clear canonical issue: the items span several unrelated bug families rather than one duplicate thread.", "canonical_pr_reason": null, - "best_issue_reason": "issue:3811 is the strongest issue candidate for canonicalization because it is generic, user-facing, and centered on the repeated LoRA-loading failure mode, unlike the many isolated training/runtime errors in the rest of the cluster.", + "best_issue_reason": "issue:3811 is the strongest representative of the only recurring theme here (`load_lora_weights`/LoRA loading) and has a clear, concrete symptom compared with the vaguer nearby reports.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:7931", "right": "issue:9448", "accept": false, - "reason": "Both involve IP-Adapter/ControlNet pipelines, but the failures are different: one is about FLUX/SDXL IP-Adapter compatibility, the other is a tuple/shape AttributeError in a ControlNet Inpaint pipeline." + "reason": "Both involve IP-Adapter/controlnet inpainting, but the failures differ: one is about `ip_adapter_image_embeds` compatibility, the other is a tuple/shape error. Not the same bug." }, { "left": "issue:5621", "right": "issue:7483", "accept": false, - "reason": "These are both SDXL-adjacent, but one is about ControlNet encoder_hid_proj support and the other is a LoRA-to-Diffusers conversion script for SDXL 1.0 base models; different code paths and problems." + "reason": "Different subjects and code paths: SDXL ControlNet `encoder_hid_proj` support vs LoRA-to-Diffusers conversion for SDXL-base models." }, { "left": "issue:6366", "right": "issue:6894", "accept": false, - "reason": "Both mention SDXL LoRA checkpoints, but 6366 is about checkpoint resumption/loading correctness in training scripts, while 6894 is about the resulting LoRA not working in A1111; not the same bug." + "reason": "Both concern LoRA checkpoints, but one is about resuming/loading saved checkpoints in training scripts and the other is about LoRA output not working in A1111. Not the same underlying issue." }, { "left": "issue:11464", "right": "issue:11581", "accept": false, - "reason": "Both are FLUX-related loading issues, but one is about loading a FLUX Canny LoRA into FluxControlPipeline and the other is an IP-Adapter dtype constructor error; different components and causes." + "reason": "Both mention FLUX, but one is a LoRA load failure in `FluxControlPipeline` and the other is an IP-Adapter constructor dtype error. Different problems." }, { "left": "issue:10650", "right": "issue:5894", "accept": false, - "reason": "A Lumina invalid shape error and a generic invalid buffer size runtime error are not enough to infer the same underlying bug or code path." + "reason": "Unrelated runtime errors in different contexts: a Lumina shape reshape failure vs an invalid buffer size error." }, { "left": "issue:861", "right": "issue:8939", "accept": false, - "reason": "Both are tokenizer/loading errors, but they concern different models and failure modes across different pipeline versions; the titles do not indicate the same concrete defect." + "reason": "One is about converting ckpt to diffusers; the other is about loading a tokenizer for SD3. Different subsystems and failure modes." }, { "left": "issue:10594", "right": "issue:11922", "accept": false, - "reason": "These are both FLUX model usage reports, but one is about multiple ControlNets with LoRA on FLUX.1-dev and the other is a FLUX.1-Fill-dev runtime problem; too broad to be the same bug." + "reason": "Both are FLUX-related, but one is about multiple controls with LoRA and the other is a FLUX Fill pipeline problem. Not the same concrete bug." }, { "left": "issue:10940", "right": "issue:122", "accept": false, - "reason": "A Triton import failure and a legacy 'exceptions' module error are unrelated environment/runtime issues." + "reason": "Completely different import failures: missing `triton.ops` vs missing `exceptions`." }, { "left": "issue:10969", "right": "issue:9911", "accept": false, - "reason": "Both mention multi-ControlNet/FLUX training-like failures, but one is a zero3 training weight-dimension error and the other is a multi-controlnet layer-length mismatch; not the same defect." + "reason": "Both touch FLUX/controlnet multi-control scenarios, but one is a training-time `'weight' must be 2-D` failure and the other is an inference/setup error with different layer lengths. Not mergeable as one bug." }, { "left": "issue:1985", "right": "issue:4080", "accept": false, - "reason": "A request for easier embedding loading and a feature request for SDXL inpainting are different feature gaps, not duplicate bug reports." + "reason": "Loading embeddings on Stable Diffusion vs adding an SDXL inpainting pipeline; unrelated." }, { "left": "issue:259", "right": "issue:2871", "accept": false, - "reason": "These are unrelated pipeline issues: progress bar behavior versus latent output handling in inpainting." + "reason": "Progress bar behavior is unrelated to latent output handling in inpainting." }, { "left": "issue:2891", "right": "issue:9643", "accept": false, - "reason": "One is an old SD Upscale docs/runtime mismatch, the other is a FLUX multi-ControlNet capability question/error; different models and code paths." + "reason": "A docs/feature mismatch for StableDiffusionUpscalePipeline is unrelated to Flux multi-ControlNet support." }, { "left": "issue:11464", "right": "issue:4593", "accept": false, - "reason": "Both involve LoRA loading in FLUX/ControlNet contexts, but the concrete errors differ: pipeline load failure versus rank-too-large constraint when loading Automatic1111 LoRA." + "reason": "Different LoRA-related failures: FluxControlPipeline load failure vs Automatic1111 LoRA rank constraint." }, { "left": "issue:3565", "right": "issue:5846", "accept": false, - "reason": "Both are training script failures, but one is generic CUDA OOM and the other is a resume-from-checkpoint issue in SDXL LoRA training." + "reason": "Training OOM vs checkpoint resume error; different failure classes and code paths." }, { "left": "issue:5006", "right": "issue:9973", "accept": false, - "reason": "Both mention SDXL training and precision/scaling, but one is a CUDA OOM at training end and the other is an FP16 unscale gradient error; not the same bug." + "reason": "Both are training issues, but one is end-of-training OOM and the other is FP16 gradient unscale failure. Not the same bug." }, { "left": "issue:10154", "right": "issue:3811", "accept": false, - "reason": "They are closely related LoRA-loading reports, but 10154 is an AttributeError during load_lora_weights while 3811 is a no-effect-on-generation issue; likely adjacent, not identical." + "reason": "Both mention `load_lora_weights`, but one reports an attribute error during loading while the other says the LoRA loads but has no effect. Same area, different concrete failure." }, { "left": "issue:1552", "right": "issue:5860", "accept": false, - "reason": "An attention-slicing compatibility bug and a tiny-autoencoder-plus-ControlNet failure are unrelated pipeline bugs." + "reason": "Stable Diffusion 2 attention slicing is unrelated to tiny autoencoder + ControlNet pipeline failures." }, { "left": "issue:746", "right": "issue:7690", "accept": false, - "reason": "Both are loading/OSError-type reports, but they target different pipelines/models (ONNX img2img versus SDXL tokenizer loading)." + "reason": "ONNX revision loading vs tokenizer path resolution; different issues." }, { "left": "issue:2480", "right": "issue:5565", "accept": false, - "reason": "Both concern DreamBooth/LoRA training outputs, but one is checkpoint folder creation and the other is an inability to run an SDXL LoRA dreambooth example; not the same underlying issue." + "reason": "Checkpoint folder creation in DreamBooth training is unrelated to the LoRA SDXL example script failing to run." }, { "left": "issue:1720", "right": "issue:2548", "accept": false, - "reason": "A multi-error M1 finetuning report and a LoRA saving error are both training-related but not the same failure." + "reason": "Both are training-related, but one is M1 finetuning errors and the other is LoRA save errors. Not the same underlying defect." }, { "left": "issue:5227", "right": "issue:7985", "accept": false, - "reason": "Torch.compile incompatibility is shared only broadly; one is specifically load_lora_weight with compile, the other is IP-Adapter with compile. Different modules and fixes." - }, - { - "left": "issue:3382", - "right": "issue:5006", - "accept": false, - "reason": "Both describe memory problems during training, but one is multi-GPU OOM in train_text_to_image.py and the other is an SDXL BF16 end-of-training OOM; too general to merge." - }, - { - "left": "issue:12656", - "right": "issue:9362", - "accept": false, - "reason": "Both are index out-of-bounds style runtime errors, but they appear in different models and with different indices/shapes; no evidence of the same bug." + "reason": "Both involve `torch.compile`, but one is LoRA loading and the other is IP-Adapter compatibility. Too broad to merge." }, { "left": "issue:1604", "right": "issue:3774", "accept": false, - "reason": "Both are training/script failures, but one is a broken LPW SD script on a specific diffusers version and the other is zero3 not saving GPU memory; different issues." + "reason": "Version-specific LPW script breakage is unrelated to zero3 training memory behavior." }, { "left": "issue:2091", "right": "issue:6146", "accept": false, - "reason": "Both relate to checkpoint/resume and multi-GPU training, but one is a generic resuming problem in text-to-image training while the other is specifically accelerate multi-GPU training for SDXL DreamBooth LoRA." + "reason": "Both are checkpoint/multi-GPU training issues, but they affect different scripts and report different failure modes." } ] }, @@ -20092,10 +19984,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10266", "issue:10512", @@ -20174,12 +20066,12 @@ ], "prepared_review_unit_hash": "f756dd60a782333752f7a167b2d502b339ebe086912678784d0671cd4c011d16", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -20359,10 +20251,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", "issue:1962", @@ -20444,12 +20336,12 @@ ], "prepared_review_unit_hash": "5ab23896ffc83d5d08a8279a5d946454a69978a86e672698a5825fcaed7c6777", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10321", "issue:1062", @@ -21021,12 +20913,12 @@ ], "prepared_review_unit_hash": "2be969a866a441dee1831401d2f9e2b0f7f86d1e86e73fcd2330540d258d97d8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -21212,10 +21104,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10518", @@ -21293,12 +21185,12 @@ ], "prepared_review_unit_hash": "bc8938b55d28108414e056db5f9bb4d923114ed42b1f40d6f9b114d37cedd421", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10202", "issue:10594", @@ -21838,12 +21730,12 @@ ], "prepared_review_unit_hash": "208a66f7d80aa26be886b53aaca63efb6b140a55730e008602fdb2ba9daa94fb", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -22035,10 +21927,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10321", "issue:10460", @@ -22117,12 +22009,12 @@ ], "prepared_review_unit_hash": "dc6fa4fea0d217e90cddf9071142fb68ab670efe61140f5192cf6f46a189b9c7", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1005", "issue:10596", @@ -22656,12 +22548,12 @@ ], "prepared_review_unit_hash": "83502f9949e1e45cb24af86229635f0d5e3eb0f7f9e446605c6caa05600552d3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -22847,10 +22739,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10180", "issue:10186", @@ -22928,12 +22820,12 @@ ], "prepared_review_unit_hash": "24984bf3327c8871432947a4935385c93e5f66892f0340d44e55edd15d3c654a", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:1013", @@ -24281,12 +24173,12 @@ ], "prepared_review_unit_hash": "75661d4aa39ecc6e9f7d5e65802c2ada7ecb9758425655a388f51b154a8fbdd6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -24472,10 +24364,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10139", "issue:10334", @@ -24553,12 +24445,12 @@ ], "prepared_review_unit_hash": "279061e034e3cbb25d2c8a1366b268808f7734c4b69f4ef946981c60f9d1807b", "component_budget": { - 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"cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10180", "issue:10650", @@ -25100,14 +24992,14 @@ "issue:2596|issue:5603", "issue:7377|issue:9112" ], - "prepared_review_unit_hash": "13aebd4076b7bb3fb33e66803f8e62173468812191b0a99f61292751322225ba", + "prepared_review_unit_hash": "6a953bb48fb7741bd5769017f164c26f90a461521d0ecdfe6d7e198bd1463730", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -25122,156 +25014,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is heterogeneous: it mixes unrelated training, import, scheduler, and model-specific runtime bugs. None of the soft pairs look like the same concrete underlying issue, so I would not merge any of them as duplicates.", - "confidence": 0.83, - "canonical_issue_reason": "issue:9237 is the most detailed and discussion-heavy report, and it sits in the most recurring theme in this set (Flux training / LoRA), so it is the best representative if one issue must be chosen.", + "summary": "These items are mostly unrelated issues across different models, schedulers, training scripts, and import/runtime failures. None of the soft-edge pairs look like true duplicates; they only share broad keywords such as Flux, LoRA, ControlNet, torch.compile, or out-of-bounds errors.", + "confidence": 0.89, + "canonical_issue_reason": "issue:9237 is the most central and richly described Flux training report in this set, with substantial discussion and references; it is the best umbrella representative if one issue must anchor the cluster, though it is still distinct from the other Flux tickets.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9237 is the strongest standalone issue: broad context, substantial reproduction detail, and active discussion make it the most useful anchor for the cluster.", + "best_issue_reason": "issue:9237 has the strongest combination of context, discussion, and topical overlap with several nearby Flux/LoRA training reports, making it the best issue to represent the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:4580", "right": "issue:4631", "accept": false, - "reason": "Both mention Karras/scheduler failures, but one is UniPC schedule and the other is DPMSolverSinglestep with a different exception path; not the same bug." + "reason": "Both mention use_karras_sigmas, but they hit different schedulers and different failures; not the same code path." }, { "left": "issue:7168", "right": "issue:7238", "accept": false, - "reason": "Both are IP-Adapter related, but one is about incorrect image embed tensor shape and the other is about masking behavior; different code paths." + "reason": "One is about incorrect IP-Adapter image embedding shape, the other about masking behavior; different bugs." }, { "left": "issue:2988", "right": "issue:7041", "accept": false, - "reason": "Both are step-count/runtime failures, but one is a scheduler crash at equal train/inference steps and the other is a segmentation fault for num_inference_steps > 1; not the same defect." + "reason": "Both are scheduler/runtime failures, but the trigger conditions and symptoms are different (equal steps vs num_inference_steps > 1)." }, { "left": "issue:12656", "right": "issue:12771", "accept": false, - "reason": "Both are out-of-bounds style errors, but they affect different models/components: AuraFlow positional embeddings vs DPMSolverMultistepScheduler with Karras sigmas." + "reason": "Both are out-of-bounds errors, but in different models and different subsystems; no shared concrete failure." }, { "left": "issue:3728", "right": "issue:6407", "accept": false, - "reason": "These are unrelated feature requests for new pipelines/models (Shifted Diffusion vs AnyText), not duplicate bugs or changes." + "reason": "These are unrelated new-pipeline requests for different models and tasks." }, { "left": "issue:1534", "right": "issue:434", "accept": false, - "reason": "Both involve training notebooks, but they target different notebook/version breakages and do not describe the same failure." + "reason": "Both concern training notebooks, but one is a specific Dreambooth notebook error and the other is a version-compatibility report." }, { "left": "issue:10180", "right": "issue:12396", "accept": false, - "reason": "Both touch adapter/LoRA workflows, but one is loading multiple LoRAs with Flux Control LoRA and the other is a leaf_level/delete_adapters error; different behavior and failure mode." + "reason": "Both involve adapters/LoRA, but one is about loading multiple LoRAs with Flux Control LoRA and the other about delete_adapters with leaf_level errors." }, { "left": "issue:4925", "right": "issue:5997", "accept": false, - "reason": "These are different ControlNet problems: distributed SDXL training OOM vs a tutorial/model-type mismatch import/config error." + "reason": "One is an OOM in distributed SDXL ControlNet training; the other is a tutorial/model-type mismatch error." }, { "left": "issue:5012", "right": "issue:5432", "accept": false, - "reason": "Both concern SDXL LoRA training scripts, but one is about training the text encoder and the other is blank validation images; separate issues." + "reason": "Both touch LoRA SDXL training, but one is about text encoder training support and the other is blank validation images." }, { "left": "issue:9237", "right": "issue:9501", "accept": false, - "reason": "Both are Flux Dreambooth training reports, but one is a LoRA training issue and the other is delayed model saving; different symptoms and code paths." + "reason": "Both are Flux Dreambooth training reports, but one is a general training issue and the other is specifically delayed model saving; not the same bug." }, { "left": "issue:9907", "right": "issue:9936", "accept": false, - "reason": "Both are Flux control training related, but one is a maximum sequence length warning and the other is an NCCL timeout in multigpu training; not the same bug." + "reason": "Different Flux ControlNet problems: sequence-length warning versus NCCL timeout in multigpu training." }, { "left": "issue:10772", "right": "issue:9619", "accept": false, - "reason": "One is Sana ControlNet support and the other is a ControlNet interrupt feature request; different pipeline and different change request." + "reason": "A Sana ControlNet support request is not the same as adding interrupt support to StableDiffusionControlNetPipeline." }, { "left": "issue:10650", "right": "issue:10866", "accept": false, - "reason": "Both mention Lumina, but one is a shape mismatch in inference and the other is a LoRA compatibility problem with Civitai; not the same underlying bug." + "reason": "Both are Lumina-related, but one is a shape error and the other is a LoRA compatibility problem." }, { "left": "issue:10823", "right": "issue:12547", "accept": false, - "reason": "These are both training-script complaints, but one is about missing inference files after fine-tuning and the other is a missing --instance_prompt argument for Flux Kontext Dreambooth I2I." + "reason": "Unrelated training-script/export issue versus a Dreambooth Flux Kontext argument validation error." }, { "left": "issue:10937", "right": "issue:7420", "accept": false, - "reason": "Both involve torch.compile, but one is specifically a vae.encode error while the other is a broader inability to use torch.compile; insufficiently specific to be duplicates." + "reason": "Both mention torch.compile, but one is a specific vae.encode failure and the other is a generic compile problem." }, { "left": "issue:1304", "right": "issue:3813", "accept": false, - "reason": "These are generic training questions from different contexts and years; no concrete shared bug/change." + "reason": "A how-to question about image-to-image training is not the same as a multi-GPU model-parallel finetuning question." }, { "left": "issue:4724", "right": "issue:7041", "accept": false, - "reason": "One is an SDXL img2img pipeline behavior issue and the other is a segmentation fault when num_inference_steps > 1; different pipelines and failure modes." + "reason": "Different pipelines and different failures; no common concrete bug." }, { "left": "issue:5026", "right": "issue:5152", "accept": false, - "reason": "Both are import/version related, but one is a KeyError for text_encoder and the other is a W\u00fcrstchen alpha bug; not the same issue." + "reason": "Different model/version-specific errors with no shared code path." }, { "left": "issue:5412", "right": "issue:5846", "accept": false, - "reason": "Both mention resume_from_checkpoint in SDXL LoRA training, but the reported errors and scripts differ; not enough evidence they are the same bug." + "reason": "Both mention resume_from_checkpoint, but they are different scripts and likely different training flows." }, { "left": "issue:11169", "right": "issue:11560", "accept": false, - "reason": "Both are import errors, but one is a numpy binary incompatibility in a scheduler import and the other is an unspecified import error; too generic and likely unrelated." + "reason": "One is a specific numpy binary incompatibility on import; the other is just a generic import error." }, { "left": "issue:1556", "right": "issue:2107", "accept": false, - "reason": "Both involve black/glitchy images, but one is CUDA/NSFW-warning related and the other is low-resolution output artifacts; not the same code path." + "reason": "Both can produce black images, but the causes are different: GPU/NSFW warning versus low-resolution rendering." }, { "left": "issue:3124", "right": "issue:5753", "accept": false, - "reason": "Both are conversion/load_lora related, but one is Stable Diffusion model conversion and the other is SDXL ControlNet with load_lora_weights; different functionality." + "reason": "Model conversion failure is unrelated to a ControlNet LoRA loading issue." }, { "left": "issue:2596", "right": "issue:5603", "accept": false, - "reason": "Both are documentation/import-name problems, but they concern different missing symbols in different versions; not the same underlying issue." + "reason": "Both are import/doc issues, but they reference different symbols and different failure modes." }, { "left": "issue:7377", "right": "issue:9112", "accept": false, - "reason": "Both are shape/size errors in StableCascade/AuraFlow-like pipelines, but they occur in different models and tensor mismatches; not duplicates." + "reason": "Different model-specific inference errors with no shared failing code path." } ] }, @@ -25290,10 +25182,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10804", "issue:10883", @@ -25373,12 +25265,12 @@ ], "prepared_review_unit_hash": "86733c9d76c05b2086328102e88ab6b2a9fbd7837b9f828c74dce164d151ee3b", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10302", "issue:10608", @@ -31600,12 +31492,12 @@ ], "prepared_review_unit_hash": "847b646e82cd970a183c37c874bc48e942e6ad225788dd5a127f57d9a2c75581", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -31788,10 +31680,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", "issue:10712", @@ -31869,12 +31761,12 @@ ], "prepared_review_unit_hash": "d7b9cf03646d9d2aae665f6b4f5cfe6c99b4bd0c4c1f416c74ce7cb6a868b11b", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11199", "issue:1125", @@ -32416,12 +32308,12 @@ ], "prepared_review_unit_hash": "592075d5b34556c353871364445cece6b1f2b503e0fbd1089ec0eed39bd159d1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -32607,7 +32499,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10392", "issue:10421", @@ -32685,14 +32577,14 @@ "issue:3706|issue:6460", "issue:4779|issue:7333" ], - "prepared_review_unit_hash": "f27e18c1986338e88ecde4a76f8430217c9e1f6b9e709a0025327a76ec4f4e56", + "prepared_review_unit_hash": "6b8c93608a08567332c1dc5e50c11cbf59d48ca20a89ab0b73eb7dfd81cb41b1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -32707,168 +32599,168 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous model/pipeline issues with only one plausible duplicate pair around SDXL Dreambooth LoRA text-encoder training. The rest differ by model, subsystem, or failure mode and should stay separate.", - "confidence": 0.93, - "canonical_issue_reason": "issue:5016 is the clearest, most specific report for the SDXL Dreambooth LoRA text-encoder training failure and best represents the one credible duplicate subgroup in this set.", + "summary": "Most items in this set are unrelated model/pipeline bug reports or feature requests. Only one soft pair looks like the same underlying issue: SDXL LoRA training with text encoder/text_encoders in the Dreambooth LoRA script.", + "confidence": 0.92, + "canonical_issue_reason": "issue:5016 is the clearest anchor for the shared SDXL LoRA text-encoder training bug because it names the exact script (`train_dreambooth_lora_sdxl.py`) and the failing capability explicitly.", "canonical_pr_reason": null, - "best_issue_reason": "issue:5016 is the best representative issue overall because it is specific, actionable, and closest to another similar report in the cluster.", + "best_issue_reason": "issue:5016 is the best representative issue: it is concrete, specific, and directly overlaps the duplicate-looking SDXL LoRA text-encoder training report.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:4389", "right": "issue:6196", "accept": false, - "reason": "Both are ControlNet-related load failures, but they concern different model variants and different error contexts; not the same concrete bug." + "reason": "Both are loading errors, but one is generic ControlNetModel loading and the other is ControlNetXS Depth SDXL; different model paths and failure modes." }, { "left": "issue:4697", "right": "issue:9187", "accept": false, - "reason": "Different components and failure modes: a specific LoRA load issue versus SDXL IP-Adapter behavior after a Kolors update." + "reason": "Both mention LoRA/IP-Adapter loading problems, but they target different components and triggers (specific LoRA after 0.20.0 vs SDXL IP-Adapter after Kolors update)." }, { "left": "issue:1717", "right": "issue:4303", "accept": false, - "reason": "Offline cache loading and Flax SDXL loading crashes are unrelated code paths and distinct bugs." + "reason": "Offline cache loading failure is unrelated to a Flax SDXL load crash; different subsystem and bug class." }, { "left": "issue:4340", "right": "issue:5016", "accept": true, - "reason": "Both describe SDXL Dreambooth LoRA failing around text-encoder training / train_text_encoder, and they plausibly stem from the same underlying bug." + "reason": "Both report the same SDXL LoRA text-encoder training problem in Dreambooth/LoRA training, and could plausibly be merged into one fix." }, { "left": "issue:4852", "right": "issue:7793", "accept": false, - "reason": "One is an error loading LoRA weights, the other is an error unloading them; similar domain, different operation and likely different fixes." + "reason": "Generic LoRA loading error vs DeepFloyd LoRA unloading error are different code paths and not clearly the same bug." }, { "left": "issue:3296", "right": "issue:4664", "accept": false, - "reason": "Both mention LoRA/checkpoint loading, but one is Dreambooth checkpoint persistence with text_encoder and the other is SDXL LoRA loading on a specific pipeline class." + "reason": "Checkpoint save/load with text_encoder is a training bug; the SDXL LoRA issue is a model/pipeline naming/loading problem." }, { "left": "issue:4306", "right": "issue:7851", "accept": false, - "reason": "Both are index errors, but the affected pipelines and failure triggers differ; not enough evidence of the same bug." + "reason": "List-index-out-of-range in reference pipeline is unrelated to concurrent pipeline-call out-of-bounds; similar symptom, different context." }, { "left": "issue:11702", "right": "issue:13001", "accept": false, - "reason": "Different model families and different loading failures: LoRA key mismatch versus GGUF shape mismatch." + "reason": "Both are model-loading shape/key problems, but they involve different model families and different failures (LoRA key error vs GGUF shape mismatch)." }, { "left": "issue:10421", "right": "issue:10653", "accept": false, - "reason": "CPU memory leak when moving pipelines to multiple GPUs is not the same as an unsupported .to(cpu) path for an 8-bit loaded transformer." + "reason": "A CPU memory leak while moving pipelines to multiple GPUs is not the same as bitsandbytes 8-bit modules refusing `.to(cpu)`. " }, { "left": "issue:10392", "right": "issue:11418", "accept": false, - "reason": "Different model artifacts and requests: one is a Flux-dev-fp8/Lora combination, the other is adding a Flux1-fill-dev-fp8 file." + "reason": "Hyper-FLUX FP8 LoRA usage and adding a FLUX1 fill FP8 file are different requests/issues, not a shared bug." }, { "left": "issue:12657", "right": "issue:13140", "accept": false, - "reason": "Both involve Qwen image-edit pipelines, but one is a quantized regression and the other is a NoneType TypeError in different pipelines." + "reason": "Both involve Qwen Edit, but one is a quantized regression and the other is a NoneType error in pipeline composition; not the same concrete bug." }, { "left": "issue:3454", "right": "issue:3651", "accept": false, - "reason": "Train_dreambooth_lora.py failing on latest and train_dreambooth multi-GPU setup are separate compatibility issues." + "reason": "Latest-version breakage in a LoRA script and multi-GPU failure in plain Dreambooth are different training scenarios and likely different fixes." }, { "left": "issue:11182", "right": "issue:9527", "accept": false, - "reason": "Unnecessary BF16 download and a dtype mismatch between controlnet fp32 and main pipeline bf16 are different problems." + "reason": "Unnecessary BF16 download and a controlnet/mainpipe dtype mismatch are separate issues." }, { "left": "issue:5153", "right": "issue:5442", "accept": false, - "reason": "These are unrelated feature/pipeline proposals; same broad diffusion area only." + "reason": "FreeU and ScaleCrafter are different pipeline/model features, not duplicate bug reports." }, { "left": "issue:2185", "right": "issue:3871", "accept": false, - "reason": "Missing config files for naive T2I training is unrelated to checkpoint resume errors." + "reason": "Missing config files for naive text-to-image training is unrelated to checkpoint resume errors." }, { "left": "issue:7133", "right": "issue:7431", "accept": false, - "reason": "Both involve Dreambooth with text encoders, but one is a checkpoint resume size mismatch and the other is DoRA training issues; not the same concrete bug." + "reason": "Checkpoint size mismatch in SDXL Dreambooth LoRA and DoRA text-encoder training issues overlap only broadly; they are not the same bug." }, { "left": "issue:11135", "right": "issue:3826", "accept": false, - "reason": "Separate new pipeline proposals with different modalities and goals." + "reason": "These are two different new pipeline proposals (SmoothCache vs Audio-Journey), so they are not duplicates." }, { "left": "issue:2659", "right": "issue:6949", "accept": false, - "reason": "Batch-size variation and even-step blank images are distinct scheduler/consistency issues." + "reason": "Batch-size variation and even-step blank images are distinct generation correctness bugs." }, { "left": "issue:12499", "right": "issue:12529", "accept": false, - "reason": "Both are Wan 2.2 errors, but one is a condition shape mismatch and the other is a tiled VAE tensor size mismatch in a different pipeline." + "reason": "Both are Wan 2.2 shape/tensor mismatches, but one is condition-shape and the other is tiled-VAE tensor-size mismatch; different layers of the pipeline." }, { "left": "issue:3871", "right": "issue:6821", "accept": false, - "reason": "Resume-from-checkpoint training error and caption_column validation error are unrelated training setup problems." + "reason": "Checkpoint-resume failure and caption_column validation error are different training problems." }, { "left": "issue:12011", "right": "issue:12052", "accept": false, - "reason": "OOM during Wan 2.2 i2v and cross-device tensor multiplication under LightX2V offloading are different failure modes." + "reason": "OOM during Wan 2.2 i2v inference and a device-mismatch multiply failure are different concrete failures." }, { "left": "issue:4194", "right": "issue:5150", "accept": false, - "reason": "One is a from_single_file VAE loading problem, the other is a missing from_single_file method on a different pipeline class." + "reason": "VAE loading problems with from_single_file and a missing from_single_file method on UpscalePipeline are not the same issue." }, { "left": "issue:2830", "right": "issue:7333", "accept": false, - "reason": "A general user question about image/text-to-video is not the same as a specific I2V research pipeline issue." + "reason": "A general question about making image+text-to-video and a specific image-to-video technique proposal are not duplicate bug/change reports." }, { "left": "issue:3706", "right": "issue:6460", "accept": false, - "reason": "A new model/pipeline announcement and an endless-loading bug are unrelated." + "reason": "A new model announcement (Wuerstchen) is unrelated to an endless-loading bug when loading an inpainting model." }, { "left": "issue:4779", "right": "issue:7333", "accept": false, - "reason": "Different I2V-related topics, but one is a pipeline request and the other is a specific training/rectification technique; not duplicates." + "reason": "ModelScope image-to-video pipeline discussion and a Tuning-Free Noise Rectification technique are different changes, not the same underlying item." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is well grounded in the packet and stays conservative overall. The only accepted soft pair, issue:4340 and issue:5016, is a plausible duplicate around SDXL Dreambooth LoRA text-encoder training, and the rejected pairs are mostly justified by differing model families, pipelines, or failure modes. The representative-issue choice is also defensible from the available evidence." + "feedback": "The summary is grounded in the packet: the only accepted soft pair, issue:4340 vs issue:5016, is strongly supported by the titles and appears mergeable as the same SDXL LoRA text-encoder training bug. The remaining pairwise verdicts are conservative and do not overstate duplicate evidence." }, "evaluator_used": true, "retried": false, @@ -32884,10 +32776,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:1055", @@ -32966,12 +32858,12 @@ ], "prepared_review_unit_hash": "de10045c0b8aa849b427e8b4125eb059c8f56e2987fe2a0bdcd0cf7f64e87646", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -33160,10 +33052,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10382", "issue:10823", @@ -33241,12 +33133,12 @@ ], "prepared_review_unit_hash": "c1866dbef89b0a1a59e0a91da564dd039ee6c19ec6268a3f3b75d6060ea82540", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -33432,10 +33324,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", "issue:10428", @@ -33513,12 +33405,12 @@ ], "prepared_review_unit_hash": "abeec80f3239d5ea3adea7604950891e91f9a81d70305f82b68eabf592e5fdce", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10492", "issue:10715", @@ -39757,12 +39649,12 @@ ], "prepared_review_unit_hash": "230ce9483716604565ea8f3ab702093bcdac30aa311819ff21efb08bda958fcb", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -39951,10 +39843,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10054", "issue:10210", @@ -40033,12 +39925,12 @@ ], "prepared_review_unit_hash": "a5924d2a02b65435e2d42bed475e1e3b8196a2a8c96e6647c16654bb96c95ca3", "component_budget": { - 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"source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", "issue:10227", @@ -40580,12 +40472,12 @@ ], "prepared_review_unit_hash": "8afa8dba3ecf739e3138b925e5f2144494a2d2f5a58ae27c05bd7ebd88cc4ebf", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -40768,10 +40660,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", "issue:10382", @@ -40849,12 +40741,12 @@ ], "prepared_review_unit_hash": "18474945b2fe3a7c0e3e80315ddcad6c10d7a713687f2514374cc5122f6eb316", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -41037,10 +40929,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10475", "issue:11363", @@ -41119,12 +41011,12 @@ ], "prepared_review_unit_hash": "1c55aef40c45959339b231341477807c3f33c827a686a7d4b61a6f241382ec85", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -41307,10 +41199,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1005", "issue:10066", @@ -41389,12 +41281,12 @@ ], "prepared_review_unit_hash": "c238f7831da5d76e9d25624892bbabef9681d2b1657c1ce043691d6d6195d2f7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -41580,10 +41472,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1100", "issue:11448", @@ -41662,12 +41554,12 @@ ], "prepared_review_unit_hash": "0f49e83ce9c33b9dceab4438a3ae3df9739700ff0c148b144457afb162d1919e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -41850,10 +41742,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10705", "issue:10782", @@ -41931,12 +41823,12 @@ ], "prepared_review_unit_hash": "5bd99c850bb795b675c3350acee3fd617f18bba84c32c06395fbba50c9a1232b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -42122,7 +42014,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:1013", @@ -42143,8 +42035,6 @@ "issue:1755", "issue:1791", "issue:1919", - "issue:1961", - "issue:2221", "issue:2695", "issue:3382", "issue:3574", @@ -42171,6 +42061,8 @@ "issue:8613", "issue:8668", "issue:8834", + "issue:8874", + "issue:8900", "issue:9450" ], "soft_pairs": [ @@ -42193,184 +42085,178 @@ "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" + "issue:1188|issue:1755" ], - "prepared_review_unit_hash": "61c5d8ecb30e1dbe099f23a4fdb8c56ce26846abb8b305e705cee7c4c7f1b012", + "prepared_review_unit_hash": "23d0aef1e75fb264ff07c472ed4d7c4a3381dbce93da338cd0e4c58b69153fd4", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34015, - "estimated_input_tokens": 8504, - "estimated_eval_tokens": 17264 + "serialized_chars": 34151, + "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: the items span many unrelated bugs and feature requests across training, device placement, OOMs, MPS/CPU issues, and model-specific loaders. None of the suggested soft pairs look like the same underlying defect closely enough to merge.", - "confidence": 0.93, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous and only loosely related by training/runtime errors. There isn\u2019t a clear duplicate set; the closest theme is device/dtype and loading issues, so I\u2019d use the broadest runtime bug as the representative issue.", + "confidence": 0.34, + "canonical_issue_reason": "issue:10671 is the broadest, most central runtime bug here: it concerns core DiffusionPipeline device/dtype handling, which is the closest umbrella for the cluster\u2019s recurring device/mixed-precision failures.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10671 is the broadest and most reusable infrastructure bug here (DiffusionPipeline dtype/device retrieval), but the overall set is still too heterogeneous for a single true canonical duplicate target.", + "best_issue_reason": "issue:10671 is the best single issue representative because it is general enough to summarize the cluster\u2019s runtime/device problems without being tied to one model or training script.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:10671", "right": "issue:8613", "accept": false, - "reason": "Device/dtype retrieval bug vs training OOM from caption_column; unrelated failure modes." + "reason": "Different failure modes: one is a deterministic dtype/device accessor bug, the other is an OOM during caption-column training." }, { "left": "issue:6524", "right": "issue:7485", "accept": false, - "reason": "Second-load LoRA breakage vs safety_checker callable error; different code paths and symptoms." + "reason": "Different code paths and symptoms: LoRA reload failure vs setting a None safety checker callable error." }, { "left": "issue:7168", "right": "issue:9450", "accept": false, - "reason": "IP-Adapter image embed shape question vs Flux multi-GPU device mismatch; not the same bug." + "reason": "Both mention tensor/device handling, but they are different pipelines and errors: IP-Adapter embeds shape issue vs Flux multi-GPU device mismatch." }, { "left": "issue:1500", "right": "issue:4305", "accept": false, - "reason": "Community pipeline compatibility regression vs torch.compile graph break; different subsystems and causes." + "reason": "Same broad library area, but not the same bug: one is version incompatibility for a community pipeline, the other is a torch.compile graph break on a newer release." }, { "left": "issue:1791", "right": "issue:4480", "accept": false, - "reason": "UnCLIP unsupported on MPS vs StableDiffusion float16 kernel crash on MPS; related platform, but distinct bugs." + "reason": "Both are Mac/MPS-related, but one is unsupported pipeline behavior and the other is a float16 kernel crash; not the same underlying issue." }, { "left": "issue:10026", "right": "issue:3382", "accept": false, - "reason": "DeepSpeed Stage-3 memory not reduced vs generic multi-GPU OOM; different training setups and reported behavior." + "reason": "Both are multi-GPU memory complaints, but they involve different training scripts and different runtime setups, so they are not clearly the same bug." }, { "left": "issue:12547", "right": "issue:7146", "accept": false, - "reason": "Missing CLI argument error vs SDXL CUDA OOM during fine-tuning; unrelated issues." + "reason": "Unrelated concrete failures: missing required CLI prompt argument vs CUDA OOM during SDXL fine-tuning." }, { "left": "issue:2695", "right": "issue:6444", "accept": false, - "reason": "Tensorboard validation failure vs checkpointing/peft_config AttributeError; different code paths." + "reason": "Different bugs in different training flows: validation/reporting failure vs PEFT checkpointing attribute error." }, { "left": "issue:4788", "right": "issue:6956", "accept": false, - "reason": "SDXL inpaint OOM on 6GB VRAM vs StableVideoDiffusion OOM on SageMaker; same broad symptom only." + "reason": "Both are OOMs, but they affect different pipelines and environments, so they should not be merged." }, { "left": "issue:10334", "right": "issue:10520", "accept": false, - "reason": "Sana MPS/CPU NaNs and gray images vs Sana device-mismatch error; likely related area but distinct failures." + "reason": "Both involve Sana/device issues, but one is MacOS/MPS gray outputs and CPU NaNs, while the other is a cuda/cpu tensor placement error; not the same concrete bug." }, { "left": "issue:1013", "right": "issue:3574", "accept": false, - "reason": "Different models/features: StableDiffusionMegaPipeline compatibility vs from_ckpt on Windows." + "reason": "Different problems: a specific pipeline failing on Diffusers 6.0 vs from_ckpt not working on Windows." }, { "left": "issue:1076", "right": "issue:1310", "accept": false, - "reason": "General SD model question vs K-Diffusion pipeline request; not duplicate bugs." + "reason": "Completely different topics; no shared bug or code path." }, { "left": "issue:3967", "right": "issue:7421", "accept": false, - "reason": "Deleted branch / SD-XL availability issue vs seed non-determinism in KDiffusion pipeline; unrelated." + "reason": "Different issues in SDXL-related paths: deleted-branch regression vs seed inconsistency in a K-Diffusion pipeline." }, { "left": "issue:4067", "right": "issue:7057", "accept": false, - "reason": "LoRA scale inconsistency with prompt embeddings vs checkpoint/model loading issue; different behavior." + "reason": "Different failures: LoRA scale inconsistency with prompt embeddings vs a checkpoint loading problem." }, { "left": "issue:4837", "right": "issue:6899", "accept": false, - "reason": "SDXL converter failure reports, but they appear to concern different converter bugs and contexts." + "reason": "Both mention the conversion script, but the titles point to different conversion failures and there isn\u2019t enough evidence they are the same bug." }, { "left": "issue:5963", "right": "issue:8668", "accept": false, - "reason": "Kandinsky embeds-vs-prompts failure vs SD3 image alignment requirement; different pipelines and inputs." + "reason": "Different model/pipeline behaviors: Kandinsky embed-vs-prompt handling vs SD3 image-size alignment." }, { "left": "issue:8555", "right": "issue:8834", "accept": false, - "reason": "Feature request for SD3 FP8/text encoder training vs request for SD3 ControlNet training code; not duplicates." + "reason": "One is a feature request about FP8/text encoder training; the other asks when SD3 ControlNet training code will be released." }, { "left": "issue:10839", "right": "issue:12157", "accept": false, - "reason": "Flux Dreambooth LoRA last-step training error vs Qwen-Image bnb quantization device iterable error; unrelated." + "reason": "Different training stacks and errors: Flux Dreambooth last-step failure vs Qwen-Image quantization config type error." }, { "left": "issue:1214", "right": "issue:5502", "accept": false, - "reason": "CLIPTextModel half-precision bug vs train_custom_diffusion fp16 support issue; different models and failure mechanisms." + "reason": "Both mention fp16, but one is a CLIPTextModel precision bug and the other is a custom diffusion training script limitation." + }, + { + "left": "issue:8874", + "right": "issue:8900", + "accept": false, + "reason": "Different single-file loading problems: CKPT unpickling failure vs loading a specific SDXL refiner safetensors file." }, { "left": "issue:7000", "right": "issue:7950", "accept": false, - "reason": "PyTorch deprecation warning vs library incompatibility with PyTorch 2.3.0; different severity and cause." + "reason": "A deprecation warning is not the same as a PyTorch 2.3 compatibility break." }, { "left": "issue:1540", "right": "issue:1919", "accept": false, - "reason": "Missing MODEL_TYPE in dreambooth/transformers vs missing datasets dependency in requirements; unrelated setup problems." - }, - { - "left": "issue:10392", - "right": "issue:10954", - "accept": false, - "reason": "Flux-dev-fp8 LoRA training issue vs LoRA load failure in ComfyUI-compatible Flux model; different stages of the workflow." + "reason": "Different causes: missing MODEL_TYPE in Dreambooth/transformers execution vs missing datasets dependency in requirements." }, { "left": "issue:1188", "right": "issue:1755", "accept": false, - "reason": "CLIPSeg pipeline feature request vs generic Arabic-titled issue; no meaningful duplicate signal." - }, - { - "left": "issue:1961", - "right": "issue:2221", - "accept": false, - "reason": "Two separate 'colossalai error' reports with no shared concrete bug details; titles are too generic to treat as duplicates." + "reason": "These are unrelated; one is a pipeline feature request and the other is a non-English general discussion issue." } ] }, @@ -42392,15 +42278,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1062", "issue:13300", + "issue:1961", + "issue:2221", "issue:2420", "issue:2991", "issue:3595", "issue:3748", - "issue:378", "issue:3811", "issue:3958", "issue:4030", @@ -42408,7 +42295,6 @@ "issue:4086", "issue:4186", "issue:4236", - "issue:435", "issue:4584", "issue:4911", "issue:5014", @@ -42443,6 +42329,7 @@ "issue:9515" ], "soft_pairs": [ + "issue:1961|issue:2221", "issue:2991|issue:6790", "issue:3811|issue:5606", "issue:4080|issue:556", @@ -42466,187 +42353,186 @@ "issue:4236|issue:8604", "issue:7492|issue:7801", "issue:6794|issue:6865", - "issue:13300|issue:5963", - "issue:378|issue:435" + "issue:13300|issue:5963" ], - "prepared_review_unit_hash": "b5ab083ed3d71c95189edba768bd21604bfb7a91a68b1c86aef74cf11f92f04c", + "prepared_review_unit_hash": "db6a810b63f062b632cc73d55b64bbac131ee1b76fb83c646b714b5195907a58", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 34371, - "estimated_input_tokens": 8593, - "estimated_eval_tokens": 17442 + "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": "This is not a duplicate cluster: the issues span many unrelated topics (Dreambooth, LoRA, ControlNet, SDXL, CPU/offload, ONNX, etc.). The soft pairs are mostly superficial title-similarity matches and should be rejected.", - "confidence": 0.98, - "canonical_issue_reason": "No single canonical issue fits the set; the items are heterogeneous and do not describe the same underlying bug or feature request.", + "summary": "This cluster is heterogeneous: most items are unrelated example/pipeline bugs, and the proposed soft links are only surface-level similarity. None of the candidate pairs look like the same concrete bug/change, so I would not merge them. If a representative issue is needed, the broadest user-facing one is the LoRA loading bug.", + "confidence": 0.62, + "canonical_issue_reason": "Issue 3811 is the broadest, most central bug report here: it describes LoRA loading having no effect, which is the closest recurring theme across the LoRA-related tickets in this set.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 3811 is the best representative because it is concrete, user-facing, and general enough to cover the nearby LoRA/loading regressions better than the very specific or unrelated example issues.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1961", + "right": "issue:2221", + "accept": false, + "reason": "Same vague title, but no evidence they describe the same underlying colossalai failure." + }, { "left": "issue:2991", "right": "issue:6790", "accept": false, - "reason": "Different failures: mixed-precision ControlNet example vs. LCM state_dict key mismatch during training." + "reason": "Different problems: mixed-precision ControlNet example vs LCM checkpoint key mismatch." }, { "left": "issue:3811", "right": "issue:5606", "accept": false, - "reason": "Both involve LoRA loading, but one is no effect on generation while the other is missing alpha-value handling." + "reason": "Both involve LoRA loading, but one is no-effect generation and the other is missing alpha handling; likely distinct bugs." }, { "left": "issue:4080", "right": "issue:556", "accept": false, - "reason": "Inpainting pipeline feature request vs. seamless texture tiling feature request." + "reason": "Different features entirely: SDXL inpainting vs seamless texture tiling." }, { "left": "issue:7801", "right": "issue:9393", "accept": false, - "reason": "Different training/runtime complaints: model not actually fp16 vs. Deepspeed save-model failure." + "reason": "Generic FP16 mismatch complaint vs a FLUX Dreambooth LoRA save-model issue; not the same bug." }, { "left": "issue:5593", "right": "issue:5963", "accept": false, - "reason": "AutoPipeline conversion with ControlNet vs. Kandinsky embeds-vs-prompts runtime failure." + "reason": "Both pipeline-related, but one is AutoPipeline conversion and the other is passing embeds to Kandinsky 3.0." }, { "left": "issue:4030", "right": "issue:4186", "accept": false, - "reason": "Different SDXL/embedding error vs. inpaint-with-refiner issue; no shared code-path evidence." + "reason": "Different SD/v2.1 embedding runtime error vs SDXL inpaint/refiner behavior." }, { "left": "issue:6928", "right": "issue:7962", "accept": false, - "reason": "Unrelated feature requests for Marigold depthmap colorization and Instruct-pix2pix cross_attention_kwargs support." + "reason": "One is a documentation/option request for Marigold, the other is an API enhancement for instruct-pix2pix." }, { "left": "issue:9178", "right": "issue:9420", "accept": false, - "reason": "FLUX LoRA PEFT target-module training error is unrelated to loading a saved transformer from FLUX+Hyper-SD." + "reason": "FLUX LoRA PEFT target-module training error is unrelated to a saved transformer failing to load." }, { "left": "issue:4584", "right": "issue:7322", "accept": false, - "reason": "Both are training-script errors, but one is checkpoint resume handling and the other is SIGKILL during SDXL LoRA training." + "reason": "Both are training-script errors, but one is resume-from-checkpoint and the other is SIGKILL during SDXL DreamBooth LoRA training." }, { "left": "issue:6351", "right": "issue:6382", "accept": false, - "reason": "Both mention train_lcm_distill_lora_sdxl.py, but one is DDP disable_adapters error and the other is IP-Adapter key mismatch after training." + "reason": "DDP missing disable_adapters and IP-adapter key errors are different failure modes in different code paths." }, { "left": "issue:3748", "right": "issue:3958", "accept": false, - "reason": "Both are LoRA-related, but one is float16/float32 safetensor mismatch and the other is CPU offload interaction." + "reason": "Float16/float32 mismatch on LoRA weights is not the same as the enable_model_cpu_offload interaction bug." }, { "left": "issue:7082", "right": "issue:8975", "accept": false, - "reason": "Different import errors from different symbols/modules: CpuOffload vs. LoraLoaderMixin." + "reason": "Separate import failures for different symbols from different modules." }, { "left": "issue:2420", "right": "issue:5678", "accept": false, - "reason": "Different problems in attention-related code: xformers memory-efficient attention vs. higher-order-derivative scaled_dot_product_attention issue." + "reason": "LoRA xFormers attention failure is unrelated to higher-order-derivative attention/autograd behavior." }, { "left": "issue:5873", "right": "issue:9515", "accept": false, - "reason": "ONNX export limitation for scaled_dot_product_attention vs. SD3 JointAttnProcessor2_0 missing RMSNorm." + "reason": "ONNX export support problem is not the same as missing RMSNorm in JointAttnProcessor2_0." }, { "left": "issue:6832", "right": "issue:8626", "accept": false, - "reason": "Different IP-Adapter community pipeline issues: tuple shape error vs. documentation guidance request." + "reason": "A tuple-shape AttributeError in IP-Adapter Face ID is unrelated to guidance documentation for multiple IP adapter images/masks." }, { "left": "issue:3595", "right": "issue:4086", "accept": false, - "reason": "from_ckpt loading failure is not the same as SDXL ControlNet training not working." + "reason": "from_ckpt loading failure and SDXL ControlNet training failure are distinct problems." }, { "left": "issue:5890", "right": "issue:8880", "accept": false, - "reason": "Token length warning during training/inference is unrelated to global inference slowdown regression." + "reason": "Token length warning during training inference is unrelated to a broader inference speed regression." }, { "left": "issue:4086", "right": "issue:5972", "accept": false, - "reason": "SDXL ControlNet training failure is unrelated to a documentation update about Min-SNR weighting." + "reason": "Training failure with SDXL ControlNet is not the same as a documentation update for Min-SNR weighting." }, { "left": "issue:1062", "right": "issue:5014", "accept": false, - "reason": "Dreambooth paper-results complaint and Dreambooth LoRA results complaint are too vague and not the same concrete bug." + "reason": "Dreambooth paper-result reproducibility and LoRA training results are related only by topic, not by the same bug." }, { "left": "issue:4911", "right": "issue:7286", "accept": false, - "reason": "Single-file custom text_encoder loading error is unrelated to custom diffusion cross-attention weight loading." + "reason": "Custom text-encoder loading from_single_file is unrelated to cross-attention weight loading in Custom Diffusion." }, { "left": "issue:4236", "right": "issue:8604", "accept": false, - "reason": "SDXL refiner text-encoder registration issue is unrelated to T5 fp16 conversion corruption." + "reason": "SDXL refiner text-encoder registration and T5 float16 corruption are different code paths and symptoms." }, { "left": "issue:7492", "right": "issue:7801", "accept": false, - "reason": "Repository lookup failure for a URL is unrelated to mixed_precision not actually producing fp16 weights." + "reason": "A missing repository URL/model lookup error is unrelated to mixed_precision not producing fp16 weights." }, { "left": "issue:6794", "right": "issue:6865", "accept": false, - "reason": "Import error for cast_training_params is unrelated to missing Image-instance checking in load_image." + "reason": "Import error for cast_training_params and missing Image-instance check are separate utility issues." }, { "left": "issue:13300", "right": "issue:5963", "accept": false, - "reason": "Modern CPU generation failures on SD3/FLUX are unrelated to Kandinsky embeds-vs-prompts handling." - }, - { - "left": "issue:378", - "right": "issue:435", - "accept": false, - "reason": "Both are early textual inversion issues, but they are different runtime errors in different code paths." + "reason": "CPU generation failures in SD3.5/FLUX are unrelated to Kandinsky 3.0 embed-input handling." } ] }, @@ -42668,7 +42554,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", "issue:10066", @@ -42679,10 +42565,12 @@ "issue:1985", "issue:2324", "issue:2599", + "issue:378", "issue:4037", "issue:4086", "issue:4236", "issue:4337", + "issue:435", "issue:4405", "issue:4933", "issue:4964", @@ -42692,7 +42580,6 @@ "issue:5737", "issue:5932", "issue:5953", - "issue:5956", "issue:5966", "issue:5967", "issue:6093", @@ -42700,7 +42587,6 @@ "issue:6382", "issue:6388", "issue:6441", - "issue:6536", "issue:6790", "issue:6794", "issue:7057", @@ -42720,6 +42606,7 @@ "issue:9101" ], "soft_pairs": [ + "issue:378|issue:435", "issue:5953|issue:8668", "issue:4337|issue:7985", "issue:12609|issue:13258", @@ -42742,181 +42629,180 @@ "issue:7420|issue:8879", "issue:8555|issue:9101", "issue:8645|issue:8906", - "issue:4236|issue:4933", - "issue:5956|issue:6536" + "issue:4236|issue:4933" ], - "prepared_review_unit_hash": "8f315bf8adcfd2ec72d4072a717ef86805f8930370b0a57794a1ea2d4788904d", + "prepared_review_unit_hash": "5b8877ed2fd74c3fb58a1a3fcd54a50a4f90457f1742040f6d407a74d85bf89f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33815, - "estimated_input_tokens": 8454, - "estimated_eval_tokens": 17164 + "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": "This cluster looks like a set of near-match false positives across different Diffusers issues. The titles often share broad keywords (attention masks, torch.compile, SDXL, Dreambooth, ControlNet, LoRA), but the concrete bugs and code paths differ, so no soft edges should be merged.", - "confidence": 0.91, - "canonical_issue_reason": "issue:8673 is the clearest representative of the attention-mask theme: it states the missing-mask problem directly, is open, and has focused discussion around the relevant SD3 code path.", + "summary": "No soft pair looks like the same underlying bug/change; the set is mostly unrelated training, conversion, and compile issues. No pull requests are present. The most representative issue is the SD3 attention-mask bug because it is concrete and actionable.", + "confidence": 0.78, + "canonical_issue_reason": "issue:8673 is the clearest concrete bug report here: missing attention masks in SD3 for padding tokens, with a specific model/component and a plausible targeted fix.", "canonical_pr_reason": null, - "best_issue_reason": "issue:8673 is the best global issue candidate because it is the most specific and actionable among the attention-mask-related items, with an explicit problem statement and ongoing status.", + "best_issue_reason": "issue:8673 is the strongest standalone issue for triage: specific, reproducible, and directly tied to a code-path bug rather than a broad feature request or vague failure.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:378", + "right": "issue:435", + "accept": false, + "reason": "Both are textual inversion/VAE-related, but they describe different failures and different symptoms; not the same underlying bug." + }, { "left": "issue:5953", "right": "issue:8668", "accept": false, - "reason": "Both are shape/mismatch crashes, but one is ControlNet img2img size inconsistency and the other is SD3 image alignment to 16; different pipelines and failure modes." + "reason": "Both involve image-size handling, but one is ControlNet img2img consistency and the other is SD3 alignment to 16; different code paths and fixes." }, { "left": "issue:4337", "right": "issue:7985", "accept": false, - "reason": "Both mention torch.compile, but one is Community ControlNetReference and the other is IPAdapter; different modules and bugs." + "reason": "Both mention torch.compile, but one is Community ControlNetReference and the other IPAdapter; too different to merge as one fix." }, { "left": "issue:12609", "right": "issue:13258", "accept": false, - "reason": "Wan 2.2 NaNs in latents is unrelated to an image-to-video missing feature/request; not the same underlying problem." + "reason": "Wan 2.2 latent NaNs versus a missing image-to-video model; unrelated problems." }, { "left": "issue:5433", "right": "issue:5737", "accept": false, - "reason": "One is SDXL image-artifact behavior with DPM++ schedulers, the other is a conversion-script failure; different symptoms and code paths." + "reason": "SDXL artifacting with schedulers versus SDXL conversion script failure; not the same bug." }, { "left": "issue:4964", "right": "issue:7483", "accept": false, - "reason": "Both are conversion-related, but one is SDXL model conversion in general and the other is LoRA-to-Diffusers conversion for SDXL 1.0 base; not the same bug." + "reason": "Both are conversion-related, but one is general SDXL conversion and the other is LoRA-to-Diffusers for SDXL base models; different workflows." }, { "left": "issue:6382", "right": "issue:6790", "accept": false, - "reason": "Different LCM training failures: IP-Adapter key error versus unexpected state_dict keys in example training." + "reason": "Both concern LCM/SDXL training, but the errors are different state-dict/key problems in different scripts." }, { "left": "issue:10066", "right": "issue:5932", "accept": false, - "reason": "A self.attn unpacking error is not the same as a channel-mismatch runtime error; different tensor-shape issues." + "reason": "Different runtime failures: unpacking in self.attn versus channel-mismatch in a convolution input." }, { "left": "issue:10025", "right": "issue:8673", "accept": false, - "reason": "Both concern attention masks, but Flux transformer attention masking and SD3 padding-token masking are different model-specific implementations." + "reason": "Both mention attention masks, but Flux transformer versus SD3 padding-token masking are different model-specific bugs." }, { "left": "issue:10311", "right": "issue:6794", "accept": false, - "reason": "Both are import errors, but they involve different files and symbols; no shared code-path failure is evident." + "reason": "Both are import errors, but they point to different symbols and scripts; not a single underlying defect." }, { "left": "issue:1197", "right": "issue:1985", "accept": false, - "reason": "OpenAI Diffusion Pipeline is a feature/community request, while the other asks for easier embedding loading on Stable Diffusion Pipeline; unrelated changes." + "reason": "A community pipeline request versus a request for easier embedding loading; unrelated feature work." }, { "left": "issue:2324", "right": "issue:2599", "accept": false, - "reason": "Both are Dreambooth-related, but one is instance-data loading and the other is multi-subject quality degradation; different bugs." + "reason": "Both are Dreambooth training issues, but one is instance data loading and the other is multi-subject quality degradation." }, { "left": "issue:4037", "right": "issue:4086", "accept": false, - "reason": "ControlNet FSDP validation errors and SDXL ControlNet not working are distinct training issues with different triggers." + "reason": "Both are ControlNet training problems, but one is FSDP validation errors and the other is a general SDXL base-0.9 training failure." }, { "left": "issue:4405", "right": "issue:8887", "accept": false, - "reason": "Textual inversion training for SDXL is unrelated to SD3 wrong VAE encode in training." + "reason": "Different features and models: SDXL textual inversion script versus SD3 VAE encode bug." }, { "left": "issue:5227", "right": "issue:7466", "accept": false, - "reason": "Both involve torch.compile, but one is load_lora_weight and the other is multi-ControlNet SDXL inpaint; different code paths." + "reason": "Both involve torch.compile, but one is LoRA loading and the other is multi-ControlNet inpainting; different code paths." }, { "left": "issue:5594", "right": "issue:6388", "accept": false, - "reason": "Memory-saving request and gradient-checkpointing bug are related only broadly; they are not the same defect." + "reason": "Related SDXL-LoRA optimization topics, but one is memory usage generally and the other is gradient checkpointing being ignored." }, { "left": "issue:5966", "right": "issue:7882", "accept": false, - "reason": "ControlNet for SD 2.1 and missing from_single_file for T2I Adapter are separate feature gaps." + "reason": "ControlNet for SD2.1 versus T2I-Adapter missing from_single_file; different features and implementations." }, { "left": "issue:5967", "right": "issue:6258", "accept": false, - "reason": "An announcement issue and a Stable Video Diffusion quality regression are unrelated." + "reason": "An announcement versus a pipeline quality bug; no shared underlying defect." }, { "left": "issue:6093", "right": "issue:8547", "accept": false, - "reason": "A push_to_hub repo-creation issue in an SDXL consistency script is not the same as an LCM scaling bug." + "reason": "SDXL LoRA push_to_hub behavior versus an LCM scaling bug; unrelated." }, { "left": "issue:6441", "right": "issue:7057", "accept": false, - "reason": "Google Colab from_pretrained failure and a checkpoint loading problem are too vague and likely different root causes." + "reason": "Both are model-loading problems, but one is from_pretrained in Colab and the other is checkpoint loading; different causes." }, { "left": "issue:7420", "right": "issue:8879", "accept": false, - "reason": "Both mention torch.compile, but one is generic failure and the other is cudagraph-specific SDXL failure; not mergeable as one fix." + "reason": "Both mention torch.compile, but the failure modes are different and not clearly one mergeable fix." }, { "left": "issue:8555", "right": "issue:9101", "accept": false, - "reason": "SD3 FP8/text-encoder training request is unrelated to an InstructPix2Pix training script feature request." + "reason": "SD3 FP8/text encoder training request versus an InstructPix2Pix training script request; unrelated feature requests." }, { "left": "issue:8645", "right": "issue:8906", "accept": false, - "reason": "Missing create_diffusers_controlnet_model_from_ldm helper and missing qk_norm in SD3Transformer2DModel are different implementation gaps." + "reason": "Missing helper function in single_file_utils versus missing qk_norm in SD3Transformer2DModel; unrelated implementation gaps." }, { "left": "issue:4236", "right": "issue:4933", "accept": false, - "reason": "SDXL refiner text-encoder registration and Dreambooth output artifact saving are different bugs." - }, - { - "left": "issue:5956", - "right": "issue:6536", - "accept": false, - "reason": "SD-XL U-Net fine-tuning quality regression and UNet3DConditionModel OOM are different training problems." + "reason": "SDXL refiner text-encoder registration versus Dreambooth output-file saving; different bugs." } ] }, @@ -42938,10 +42824,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10017", - "issue:10030", "issue:10180", "issue:10381", "issue:10839", @@ -42968,8 +42853,10 @@ "issue:5510", "issue:5546", "issue:5846", + "issue:5956", "issue:6164", "issue:6224", + "issue:6536", "issue:6540", "issue:6996", "issue:720", @@ -42989,6 +42876,7 @@ "issue:9732" ], "soft_pairs": [ + "issue:5956|issue:6536", "issue:7629|issue:9309", "issue:10017|issue:7538", "issue:2272|issue:3420", @@ -43011,191 +42899,187 @@ "issue:1896|issue:5510", "issue:4446|issue:8874", "issue:3432|issue:5846", - "issue:3651|issue:7960", - "issue:10030|issue:6996" + "issue:3651|issue:7960" ], - "prepared_review_unit_hash": "e89508a4412e21b823b328e3aae3f8596f09c254b587af14d62733afec9f137b", + "prepared_review_unit_hash": "f719105a645b609284ca9fe9b132f784c8c39e79d8605eb5c9a52a06c0323a66", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33807, - "estimated_input_tokens": 8452, - "estimated_eval_tokens": 17160 + "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": "These look like mostly unrelated issues that were loosely similar by text, not true duplicates. The only strong duplicate-like pair is the ControlNet `added_cond_kwargs` null-handling bug (10030 / 6996).", - "confidence": 0.86, - "canonical_issue_reason": "Issue 10030 is the clearest root-cause report for the ControlNet `added_cond_kwargs=None` bug; 6996 reads like a symptom-level duplicate.", + "summary": "The cluster is heterogeneous: most items are distinct bug reports that only share broad terms like Flux, LoRA, training, or scheduler. I found no pair that looks like the same underlying issue/change, so all soft edges should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue is justified here because the items span separate failures (dataset loading, LoRA/Flux inference, training errors, scheduler bugs, import errors, and memory/offload issues) rather than one duplicate report.", "canonical_pr_reason": null, - "best_issue_reason": "10030 is the best issue anchor because it states the underlying failure mode and code-path more directly than the symptom-style report in 6996.", + "best_issue_reason": "If a representative issue is needed, issue 5433 is the strongest candidate: it has concrete symptoms, high discussion/inbound activity, and is a well-formed user-facing bug report with clear repro context.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5956", + "right": "issue:6536", + "accept": false, + "reason": "Different problems: SD-XL fine-tuning quality regression vs UNet3DConditionModel OOM." + }, { "left": "issue:7629", "right": "issue:9309", "accept": false, - "reason": "Both touch Flux-related training/inference, but one is PyTorch 1.13 OOM in SVD and the other is a FluxControlNetPipeline bug; different problems." + "reason": "Unrelated bugs: PyTorch 1.13.1 OOM in SVD vs FluxControlNetPipeline on Flux schnell." }, { "left": "issue:10017", "right": "issue:7538", "accept": false, - "reason": "Dataset loading vs. Custom Fill50k style training; same broad area, not the same bug." + "reason": "Both mention dataset/training, but one is a load_dataset() issue and the other is a custom Fill50k training issue." }, { "left": "issue:2272", "right": "issue:3420", "accept": false, - "reason": "ONNX conversion failure and ControlNet inpaint pipeline integration are unrelated code paths." + "reason": "Different code paths: ONNX conversion script failure vs ControlNet inpaint pipeline incompatibility." }, { "left": "issue:10839", "right": "issue:9732", "accept": false, - "reason": "Dreambooth LoRA last-step error is distinct from the README training OOM report." + "reason": "Both are Flux training reports, but one is a last-step error in Dreambooth LoRA training and the other is CUDA OOM in the README workflow." }, { "left": "issue:3481", "right": "issue:3494", "accept": false, - "reason": "Scheduler determinism/inference-step differences are not the same as corrupted Multidiffusion output." + "reason": "Related to generation/schedulers, but the symptoms and pipelines differ: nondeterminism across steps vs corrupted multidiffusion outputs." }, { "left": "issue:2218", "right": "issue:3348", "accept": false, - "reason": "Overtraining behavior and xformers LoRA scale support are different issues." + "reason": "Overtrained-model behavior is not the same as xformers/Lora scale-parameter support." }, { "left": "issue:8915", "right": "issue:9410", "accept": false, - "reason": "Both are import errors, but they are for different pipeline classes and different missing symbols." + "reason": "Both are import failures, but for different classes and symbols in different pipelines." }, { "left": "issue:2891", "right": "issue:490", "accept": false, - "reason": "Docs-vs-implementation mismatch for embeds is unrelated to the memory issue in issue 490." + "reason": "Docs/support mismatch for StableDiffusionUpscalePipeline embeds is unrelated to the memory issue in older Stable Diffusion." }, { "left": "issue:2312", "right": "issue:4306", "accept": false, - "reason": "EMA save-hook failure and reference-pipeline index error are different training/inference paths." + "reason": "Different failures: EMA save-hook error vs StableDiffusionReferencePipeline list-index error." }, { "left": "issue:8578", "right": "issue:8644", "accept": false, - "reason": "Both mention meta tensors, but one is sd_turbo 1.5 copying and the other is SD3 T5 encoder/offload handling." + "reason": "Both involve meta tensors/offload, but they are different setups and code paths (sd_turbo 1.5 vs SD3 T5 encoder offload)." }, { "left": "issue:10180", "right": "issue:9108", "accept": false, - "reason": "Multiple LoRA loading with Flux Control LoRA and resuming quantized-base training are separate training bugs." + "reason": "Different Flux/LoRA training-vs-resume problems; one is loading multiple LoRAs, the other resuming with a quantized base model." }, { "left": "issue:4631", "right": "issue:720", "accept": false, - "reason": "A scheduler scalar conversion error is not the same as a traced-UNet half/float dtype mismatch." + "reason": "Similar scalar/Half runtime flavor, but they are different scheduler behaviors and different repros." }, { "left": "issue:4619", "right": "issue:7972", "accept": false, - "reason": "Both are type mismatches, but they occur in different training/inference contexts and likely different causes." + "reason": "Both are type-mismatch training issues, but for different scripts and failure modes." }, { "left": "issue:10381", "right": "issue:9096", "accept": false, - "reason": "Flux quantization+LoRA inference failure and Flux half-precision NaNs are related only at a high level, not the same bug." + "reason": "Both involve Flux inference instability, but one is quantization/LoRA/Quanto-related and the other is torch.half NaNs." }, { "left": "issue:3235", "right": "issue:4634", "accept": false, - "reason": "Both are Custom Diffusion issues, but one is loading weights with biases and the other is safe-serialization behavior." + "reason": "Custom Diffusion loading vs safe-serialization support are different serialization issues." }, { "left": "issue:6164", "right": "issue:6996", "accept": false, - "reason": "Latent output handling and `added_cond_kwargs` NoneType membership check are different failures." + "reason": "Different pipeline bugs: latent output handling vs NoneType added_cond_kwargs membership check." }, { "left": "issue:6224", "right": "issue:8514", "accept": false, - "reason": "TorchDynamo fine-tuning trouble and EMAModel parallel fine-tuning error are separate training issues." + "reason": "TorchDynamo fine-tuning issue and EMAModel/InstructP2P parallel fine-tuning error are separate training failures." }, { "left": "issue:5433", "right": "issue:5546", "accept": false, - "reason": "Visual artifacts from DPM++ SDXL without refiner is not the same as wrong scheduler step counts in the ensemble." + "reason": "Both mention SDXL schedulers, but one is visual artifacts without refiner and the other is wrong step counts with Karras sigmas." }, { "left": "issue:5399", "right": "issue:6540", "accept": false, - "reason": "Both mention matrix-type errors, but one is custom inpainting inference and the other is FSDP controlnet finetuning." + "reason": "Different dtype/matrix errors in different finetuning/inference paths; not the same bug." }, { "left": "issue:1896", "right": "issue:5510", "accept": false, - "reason": "CLIP-guided SD with a dict-size error is unrelated to the SDXL InstructPix2Pix dtype mismatch." + "reason": "Both are runtime dtype-ish errors, but in unrelated pipelines and with different root causes." }, { "left": "issue:4446", "right": "issue:8874", "accept": false, - "reason": "Both are `from_single_file` loading problems, but one is custom text encoder support and the other is CKPT unpickling failure." + "reason": "Both concern from_single_file loading, but one is custom text encoder injection and the other is CKPT unpickling failure." }, { "left": "issue:3432", "right": "issue:5846", "accept": false, - "reason": "CPU half-precision conv failure and resume-from-checkpoint error are different example-training issues." + "reason": "Different problems: CPU half-precision conv failure vs resume_from_checkpoint error." }, { "left": "issue:3651", "right": "issue:7960", "accept": false, - "reason": "Both involve multi-GPU training, but they describe different scripts and likely different underlying failures." - }, - { - "left": "issue:10030", - "right": "issue:6996", - "accept": true, - "reason": "Same underlying ControlNet bug: `added_cond_kwargs` is treated as present/non-null in the img2img path, leading to the NoneType crash." + "reason": "Both are multi-GPU training failures, but they are distinct models and failure modes." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The analysis is grounded in the packet and stays conservative. The 10030/6996 match is well supported by the titles, and the other soft-edge rejections do not overclaim duplicate status." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -43210,8 +43094,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10030", "issue:10795", "issue:10937", "issue:11232", @@ -43226,7 +43111,6 @@ "issue:2420", "issue:3064", "issue:3826", - "issue:4389", "issue:4448", "issue:4460", "issue:4480", @@ -43246,12 +43130,12 @@ "issue:6363", "issue:6726", "issue:6894", + "issue:6996", "issue:7168", "issue:7420", "issue:7480", "issue:7722", "issue:7848", - "issue:8493", "issue:8624", "issue:867", "issue:8738", @@ -43261,6 +43145,7 @@ "issue:993" ], "soft_pairs": [ + "issue:10030|issue:6996", "issue:1166|issue:4954", "issue:2420|issue:6363", "issue:3064|issue:5128", @@ -43283,188 +43168,190 @@ "issue:5012|issue:5821", "issue:867|issue:993", "issue:8738|issue:9660", - "issue:4448|issue:4460", - "issue:4389|issue:8493" + "issue:4448|issue:4460" ], - "prepared_review_unit_hash": "82ccb96f59eac1ab5c4fbc7471a8bb81026d3d65679e82a3f7a2f387db12b7e1", + "prepared_review_unit_hash": "77d4610275e0df1153393365cdec90e3dface97f457c37c3939858236fabc9eb", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33452, - "estimated_input_tokens": 8363, - "estimated_eval_tokens": 16982 + "serialized_chars": 33565, + "estimated_input_tokens": 8392, + "estimated_eval_tokens": 17040 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All suggested soft pairs are only loosely related by subsystem keywords; none look like the same underlying bug/change, so I would not merge any of them as duplicates.", - "confidence": 0.92, - "canonical_issue_reason": null, + "summary": "The cluster is mostly false-positive topical similarity. The only plausible duplicate pair is the ControlNet/added_cond_kwargs None-handling regression; the rest appear to be different bugs, features, or unrelated pipeline/model issues.", + "confidence": 0.72, + "canonical_issue_reason": "issue:10030 is the clearest, most concrete report of the added_cond_kwargs null regression in ControlNet img2img, and it likely covers the symptom described in 6996.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10795 is the strongest standalone report here: it is specific, detailed, and centered on a concrete torch.compile/from_single_file GGUF failure mode, unlike the other candidates which are either broader, more ambiguous, or clearly different bugs.", + "best_issue_reason": "issue:10030 is the best representative issue: specific pipeline, clear failure mode, and easiest to map to a fix.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10030", + "right": "issue:6996", + "accept": true, + "reason": "Both describe the same underlying bug: code assumes added_cond_kwargs is a dict, but pipeline ControlNet/img2img can pass None, causing a null-membership/type error." + }, { "left": "issue:1166", "right": "issue:4954", "accept": false, - "reason": "Both are training/save/load problems, but one is a TPU Textual Inversion hang while the other is a safetensors unpickling error; different failure modes and code paths." + "reason": "Both are textual inversion issues, but one is TPU save hang and the other is an UnpicklingError; different failure modes." }, { "left": "issue:2420", "right": "issue:6363", "accept": false, - "reason": "Both mention LoRA training, but one is an xFormers attention issue and the other is an FP16 gradient unscale error; not the same bug." + "reason": "Different training problems: xformers attention bug vs FP16 gradient unscale error." }, { "left": "issue:3064", "right": "issue:5128", "accept": false, - "reason": "Both involve loading weight files, but one is generic .safetensors LoRA loading and the other is XLPipeline.from_single_file with a local .safetensors; distinct loader paths and symptoms." + "reason": "Both involve .safetensors loading, but one is LoRA loading generally and the other is XLPipeline.from_single_file; not the same bug." }, { "left": "issue:5845", "right": "issue:9516", "accept": false, - "reason": "DreamBooth/PixArt training argument failure is unrelated to FLUX joint_attention_kwargs propagation; different subsystems and error types." + "reason": "Unrelated model families and failures: PixArt DreamBooth training vs FLUX joint_attention_kwargs propagation." }, { "left": "issue:6894", "right": "issue:7848", "accept": false, - "reason": "One is a LoRA compatibility/regression report in A1111, the other is a decoding bug in a community XL pipeline example; not the same underlying issue." + "reason": "Different outputs and code paths: LoRA export compatibility vs lpw SDXL decoding issue." }, { "left": "issue:7168", "right": "issue:7480", "accept": false, - "reason": "IP-Adapter image-embed shape confusion and DeepFloyd IF OOM are unrelated problems." + "reason": "IP-Adapter tensor-shape issue vs DeepFloyd IF OOM; no shared underlying bug." }, { "left": "issue:1704", "right": "issue:528", "accept": false, - "reason": "A question about attention blocks and a question about flax output classes are unrelated and do not describe the same bug." + "reason": "Both are general questions, not the same topic or bug." }, { "left": "issue:4993", "right": "issue:5152", "accept": false, - "reason": "An import-structure omission for CLIPImageProjection and a W\u00fcrstchen alpha bug are different model/package issues." + "reason": "Import-structure bug for CLIPImageProjection vs Wuerstchen alpha bug; unrelated." }, { "left": "issue:5128", "right": "issue:7722", "accept": false, - "reason": "A single-file safetensors loading error and an Animatediff ControlNet/IPAdapter error are different concrete failures." + "reason": "Local safetensors loading error vs Animatediff ControlNet/IPAdapter usage problem; different code paths." }, { "left": "issue:11370", "right": "issue:9187", "accept": false, - "reason": "The Hunyuan video converter pickle/load-key error is unrelated to the SDXL IP-Adapter image_encoder_folder=None regression." + "reason": "Different failures: invalid pickle/load-key in conversion script vs SDXL IP-Adapter image_encoder_folder=None regression." }, { "left": "issue:4480", "right": "issue:455", "accept": false, - "reason": "Both involve device/runtime problems, but one is an MPS kernel crash during generation and the other is an aten::index.Tensor NotImplementedError on MPS; not the same bug." + "reason": "Both are MPS-related, but one is a kernel crash on fp16 and the other is an aten::index.Tensor NotImplementedError." }, { "left": "issue:3826", "right": "issue:5442", "accept": false, - "reason": "A new pipeline proposal and a ScaleCrafter pipeline request are different feature ideas, not duplicate bug reports or the same change." + "reason": "Both are new pipeline proposals, but they are entirely different pipelines and changes." }, { "left": "issue:10795", "right": "issue:10937", "accept": false, - "reason": "Both mention torch.compile, but one is about GGUF loaded via from_single_file and the other is a vae.encode compile error; different code paths and likely different fixes." + "reason": "Both mention torch.compile, but one is GGUF loading via from_single_file and the other is vae.encode; different concrete problems." }, { "left": "issue:11232", "right": "issue:12547", "accept": false, - "reason": "Text-to-image fine-tuning noise residuals and a Dreambooth Flux Kontext argument error are unrelated training issues." + "reason": "Noise residuals during fine-tuning vs missing required --instance_prompt; unrelated training issues." }, { "left": "issue:4688", "right": "issue:6726", "accept": false, - "reason": "These are entirely different research/model topics and do not describe the same bug or change." + "reason": "Different research/pipeline topics with no shared bug or code path." }, { "left": "issue:1377", "right": "issue:2414", "accept": false, - "reason": "Both are import-related, but they concern different missing symbols and different error contexts; not the same underlying import bug." + "reason": "One is a missing transformers symbol import, the other is a NameError from not importing transformers; different root causes." }, { "left": "issue:2225", "right": "issue:5337", "accept": false, - "reason": "A safety checker usage question and a callback question are unrelated documentation/API questions." + "reason": "A usage question about safety checker vs a callback explanation question; not duplicates." }, { "left": "issue:11285", "right": "issue:8624", "accept": false, - "reason": "One is about conversion/value errors between stable diffusion and diffusers, the other is an undefined symbol in a CUDA extension; different failure surfaces." + "reason": "Conversion/value errors versus a runtime shared-library symbol error; not the same issue." }, { "left": "issue:5617", "right": "issue:7420", "accept": false, - "reason": "Both involve torch.compile, but one is about saving/loading a compiled ControlNet pipeline and the other is a generic inability to use torch.compile; too broad and not the same concrete bug." + "reason": "Loading a compiled ControlNet pipeline after save_pretrained vs general inability to use torch.compile; different specifics." }, { "left": "issue:5012", "right": "issue:5821", "accept": false, - "reason": "LoRA text encoder training behavior and a CUDA backward/training failure are different issues with no clear shared code-path." + "reason": "LoRA text-encoder training behavior vs a generic CUDA backward failure; unrelated." }, { "left": "issue:867", "right": "issue:993", "accept": false, - "reason": "GPU memory not being released in FastAPI and an fp16 data type mismatch are unrelated runtime issues." + "reason": "GPU memory leak in FastAPI vs fp16 data type mismatch; different bugs." }, { "left": "issue:8738", "right": "issue:9660", "accept": false, - "reason": "An SD3Transformer2DModel configuration problem and a from_pretrained eval-mode issue are different pipeline/model initialization bugs." + "reason": "Model configuration failure in SD3Transformer2DModel vs from_pretrained not setting eval mode; different behavior." }, { "left": "issue:4448", "right": "issue:4460", "accept": false, - "reason": "Both are about output quality differences, but one is specifically ControlNet outpainting quality and the other is general stable-diffusion-vs-diffusers result divergence; not the same defect." - }, - { - "left": "issue:4389", - "right": "issue:8493", - "accept": false, - "reason": "ControlNetModel loading error versus SD3Transformer2DModel state_dict loading error: same broad model-loading area, but different models and likely different fixes." + "reason": "Both discuss output differences, but one is ControlNet outpainting quality and the other is a broad Stable Diffusion vs diffusers comparison; too vague to merge." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The accepted 10030\u21946996 pair is well supported by the titles, which both point to the same added_cond_kwargs None-handling regression in ControlNet/img2img. The remaining pairs are rejected cautiously without overclaiming duplicate status, and the overall summary appropriately characterizes the rest as likely false-positive topical similarity." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -43479,7 +43366,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10194", "issue:10972", @@ -43488,7 +43375,6 @@ "issue:12299", "issue:12348", "issue:1398", - "issue:1922", "issue:2156", "issue:2264", "issue:2331", @@ -43503,12 +43389,12 @@ "issue:4306", "issue:4353", "issue:4375", + "issue:4389", "issue:4566", "issue:4731", "issue:4852", "issue:5028", "issue:5576", - "issue:5661", "issue:5799", "issue:6092", "issue:6093", @@ -43521,6 +43407,7 @@ "issue:7716", "issue:7871", "issue:7936", + "issue:8493", "issue:867", "issue:8900", "issue:9044", @@ -43530,6 +43417,7 @@ "issue:9902" ], "soft_pairs": [ + "issue:4389|issue:8493", "issue:2156|issue:2480", "issue:3826|issue:5576", "issue:7311|issue:9501", @@ -43552,181 +43440,180 @@ "issue:3174|issue:4852", "issue:7716|issue:7936", "issue:7629|issue:9613", - "issue:4375|issue:4731", - "issue:1922|issue:5661" + "issue:4375|issue:4731" ], - "prepared_review_unit_hash": "26891e2428f0764490ab0b00b50badcd800b038849d286fdf27aea7fec19eca0", + "prepared_review_unit_hash": "3a0919571159a037211db661eca6a7ceff4ee57570174e4921318d7b479af300", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33175, - "estimated_input_tokens": 8294, - "estimated_eval_tokens": 16844 + "serialized_chars": 33133, + "estimated_input_tokens": 8284, + "estimated_eval_tokens": 16824 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is heterogeneous: Flux/LoRA training, SDXL, ControlNet, SVD, torch.compile, loading errors, and assorted docs/example bugs. Under strict duplicate triage, none of the soft pairs look like the same underlying bug or change.", - "confidence": 0.95, - "canonical_issue_reason": "No single canonical issue stands out; the items span unrelated bugs and feature requests across different pipelines and subsystems.", + "summary": "This set is heterogeneous: most items are separate bugs, feature requests, or training/loading problems that only share broad ML/Flux/SDXL vocabulary. I would not collapse any of the soft pairs as duplicates.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10972 is the strongest concrete bug report in the broad Flux/LoRA area, with a specific failing code path (loading OneTrainer Flux LoRAs). It is still not a true cluster representative for the rest, which span unrelated pipelines and failure modes.", "canonical_pr_reason": null, - "best_issue_reason": "No global best issue for deduping the cluster; the set is not a coherent duplicate family.", + "best_issue_reason": "issue:10972 has the clearest actionable reproduction and a narrowly defined failure mode, making it the best issue anchor among this mixed set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4389", + "right": "issue:8493", + "accept": false, + "reason": "Different loading failures: ControlNetModel init vs SD3Transformer2DModel state_dict mismatch. Not the same code path." + }, { "left": "issue:2156", "right": "issue:2480", "accept": false, - "reason": "Different Dreambooth problems: CPU training fallback vs missing per-checkpoint unet folders." + "reason": "One is GPU-vs-CPU training execution, the other is checkpoint directory layout/output saving. Separate bugs." }, { "left": "issue:3826", "right": "issue:5576", "accept": false, - "reason": "Unrelated feature requests: a new audio pipeline vs a new scheduler." + "reason": "A new pipeline request is not the same as a new scheduler request; different artifact and scope." }, { "left": "issue:7311", "right": "issue:9501", "accept": false, - "reason": "Both are training-save complaints, but one is SDXL checkpoint saving and the other is Flux delayed saving; not the same concrete bug." + "reason": "Both involve training/save behavior, but one is a checkpoint save failure and the other is delayed model saving in Flux. Not one bug." }, { "left": "issue:7871", "right": "issue:8900", "accept": false, - "reason": "Different loading issues: blockwise scales with a specific LoRA vs from_single_file loading of SDXL refiner." + "reason": "Blockwise scale handling in a LoRA file is unrelated to loading an SDXL refiner from_single_file." }, { "left": "issue:1398", "right": "issue:867", "accept": false, - "reason": "Apple Silicon/MPS SD2 support vs GPU memory not released in FastAPI are unrelated." + "reason": "MPS/Apple Silicon compatibility and FastAPI GPU memory retention are unrelated runtime issues." }, { "left": "issue:3975", "right": "issue:7871", "accept": false, - "reason": "Typo in an error message vs a LoRA/blockwise-scales runtime error." + "reason": "A typo in an error message is unrelated to a LoRA/blockwise-scale loading failure." }, { "left": "issue:7296", "right": "issue:9902", "accept": false, - "reason": "PEFT version pinning for DoRA vs a conda version lockup are unrelated." + "reason": "PEFT dependency pinning and a stuck conda version are distinct packaging/versioning problems." }, { "left": "issue:3101", "right": "issue:4206", "accept": false, - "reason": "Both mention ControlNet training, but they refer to different training/example failures and should not be merged as one bug." + "reason": "Both mention ControlNet training, but one is a training example error and the other is a broken SDXL main-branch behavior." }, { "left": "issue:2371", "right": "issue:2465", "accept": false, - "reason": "DreamBooth output bug vs asking for a reproducible training recipe." + "reason": "Dreambooth output artifacts missing vs asking for a reproducible recipe are not duplicate bug reports." }, { "left": "issue:4566", "right": "issue:7350", "accept": false, - "reason": "Checkpoint resume failure vs initializing ControlNet from a LoRA-modified UNet are different code-path problems." + "reason": "Checkpoint resume in SDXL LoRA training is unrelated to initializing ControlNet from a UNet with LoRA." }, { "left": "issue:12299", "right": "issue:12348", "accept": false, - "reason": "Different tensor-mismatch bugs in different pipelines/models and with different triggers." + "reason": "Both are tensor mismatch reports, but they affect different pipelines and trigger conditions." }, { "left": "issue:5028", "right": "issue:5799", "accept": false, - "reason": "Unexpected keyword argument 'scale' in a hacked block forward vs 'strength' keyword handling in inpainting." + "reason": "Different API/runtime errors in different pipelines: hacked DownBlock2D scale kwarg vs inpainting strength kwarg." }, { "left": "issue:10194", "right": "issue:11145", "accept": false, - "reason": "Flux attention masking support vs Flux Fill LoRA/dreambooth finetune support are distinct feature requests." + "reason": "One is a Flux attention-masking feature request; the other is Flux Fill LoRA/DreamBooth support. Related theme, not same change." }, { "left": "issue:2264", "right": "issue:4306", "accept": false, - "reason": "Seed-setting error in InstructPix2Pix vs list-index error in ReferencePipeline are unrelated." + "reason": "InstructPix2Pix seed handling and ReferencePipeline list-index failure are different pipeline bugs." }, { "left": "issue:10972", "right": "issue:11062", "accept": false, - "reason": "Both are LoRA loading failures, but one is OneTrainer Flux LoRAs and the other is a CivitAI LoRA; not clearly the same bug." + "reason": "Both are LoRA loading failures, but for different model families and error modes; not clearly the same defect." }, { "left": "issue:2331", "right": "issue:6372", "accept": false, - "reason": "A ControlNet pipeline request vs SVD + ControlNet are separate feature additions." + "reason": "Adding a ControlNet pipeline and SVD+ControlNet support are different feature requests." }, { "left": "issue:6093", "right": "issue:9204", "accept": false, - "reason": "push_to_hub behavior in an SDXL LoRA script vs FLUX DreamBooth training are different issues." + "reason": "Push-to-hub repo creation in one SDXL training script is unrelated to the FLUX.1 DreamBooth training script issue." }, { "left": "issue:4353", "right": "issue:6258", "accept": false, - "reason": "Image quality complaints in different models/pipelines; not the same underlying defect." + "reason": "Both involve image quality, but one is SDXL generation quality and the other is forward-chunking degradation in SVD." }, { "left": "issue:6092", "right": "issue:9044", "accept": false, - "reason": "LoRA example not training vs missing diffusion_pytorch_model.bin when loading a model are different failures." + "reason": "A LoRA example not training and a missing diffusion_pytorch_model.bin file are unrelated load/train problems." }, { "left": "issue:3174", "right": "issue:4852", "accept": false, - "reason": "Generic LoRA loading breakage, but one is a lora+dreambooth model-loading regression and the other is a separate load error; too broad to merge." + "reason": "Both mention LoRA loading, but one is a broader regression from new LoRA features while the other is a standalone load error. Not enough to merge." }, { "left": "issue:7716", "right": "issue:7936", "accept": false, - "reason": "Missing config.json for a local directory vs invalid JSON when loading safetensors are different loading errors." + "reason": "Missing config.json in a directory and invalid JSON when loading a safetensors file are different file-format/path errors." }, { "left": "issue:7629", "right": "issue:9613", "accept": false, - "reason": "PyTorch-version-specific OOM in SVD vs a 'Timesteps.scale' attribute error on custom diffusion models." + "reason": "OOM on PyTorch 1.13.1 and a missing scale attribute on Timesteps are unrelated compatibility bugs." }, { "left": "issue:4375", "right": "issue:4731", "accept": false, - "reason": "Both involve torch.compile, but one is a general inference crash and the other is multi-ControlNet SDXL; not the same concrete code path." - }, - { - "left": "issue:1922", - "right": "issue:5661", - "accept": false, - "reason": "Undefined notebook helper vs missing PreTrainedTokenizer import are unrelated example/runtime issues." + "reason": "Both involve torch.compile, but one is a general inference crash and the other is multi-ControlNet SDXL compile failure. Different code paths." } ] }, @@ -43748,7 +43635,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10428", @@ -43760,12 +43647,11 @@ "issue:1486", "issue:1552", "issue:1720", - "issue:1823", "issue:1865", + "issue:1922", "issue:1925", "issue:1946", "issue:2210", - "issue:228", "issue:2442", "issue:3224", "issue:3296", @@ -43779,8 +43665,8 @@ "issue:4975", "issue:5125", "issue:5447", - "issue:547", "issue:5606", + "issue:5661", "issue:6176", "issue:6183", "issue:6280", @@ -43800,6 +43686,7 @@ "issue:9803" ], "soft_pairs": [ + "issue:1922|issue:5661", "issue:2210|issue:6722", "issue:10016|issue:6183", "issue:1552|issue:5447", @@ -43822,194 +43709,186 @@ "issue:1865|issue:1946", "issue:10591|issue:6632", "issue:10928|issue:7267", - "issue:1141|issue:699", - "issue:1823|issue:547", - "issue:228|issue:547" + "issue:1141|issue:699" ], - "prepared_review_unit_hash": "6fea51cdf7d4a08006b36315250e860abb8d1b3e8032b6fa051de50cfe10a92f", + "prepared_review_unit_hash": "294acd5f937eb8e73fefe529554ec801070048f94330098cb8d056e2ae54679c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 25, - "serialized_chars": 34149, - "estimated_input_tokens": 8538, - "estimated_eval_tokens": 17332 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33332, + "estimated_input_tokens": 8333, + "estimated_eval_tokens": 16922 }, "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 across different models, pipelines, and failure modes. The only near-match is the pair of from_single_file shape-mismatch reports, but the evidence here is title-level only, so that pair should stay rejected/undecided rather than merged.", - "confidence": 0.78, - "canonical_issue_reason": "issue:6183 is the broadest issue in the cluster and best captures the from_single_file shape-mismatch theme, but it should not be treated as proven duplicate of issue:10016 from the available evidence.", + "summary": "The cluster is mostly heterogeneous. Most pairings are clearly different bugs or feature requests from the titles alone. The only near-match is the two `from_single_file` shape-mismatch reports, but with title-only evidence and different models/pipelines, it should stay uncertain rather than accepted.", + "confidence": 0.81, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:6183 is the clearest representative of the cluster's one related loading-shape problem and is the best single issue to anchor the cluster, even though the duplication to issue:10016 is not established.", + "best_issue_reason": "issue:6183 is the clearest representative of the `from_single_file` shape-mismatch theme, but the packet does not justify treating it as a confirmed duplicate canonical.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1922", + "right": "issue:5661", + "accept": false, + "reason": "Both involve missing names/imports, but they are different symbols in different contexts: notebook helper vs tokenizer typing/import issue." + }, { "left": "issue:2210", "right": "issue:6722", "accept": false, - "reason": "Different requests: training the text encoder for LoRA vs using SigLIP as the text encoder." + "reason": "Both mention text encoders, but one is about training LoRA on the text encoder and the other is about using SigLIP as the text encoder." }, { "left": "issue:10016", "right": "issue:6183", "accept": false, - "reason": "Only title-level similarity is visible here; there is no pair evidence or shared target/file evidence to justify treating these as the same bugfix." + "reason": "Close on `from_single_file` and shape mismatch, but the packet only gives titles and the pipelines/models differ (SD3.5M vs SDXL), so this is too uncertain to merge as a duplicate." }, { "left": "issue:1552", "right": "issue:5447", "accept": false, - "reason": "Different behaviors in different pipelines: attention slicing on SD2 vs denoising_start with 2nd-order schedulers." + "reason": "Different failure modes in different pipeline/scheduler paths: attention slicing vs `denoising_start` with 2nd-order schedulers." }, { "left": "issue:4125", "right": "issue:6362", "accept": false, - "reason": "LoRA fine-tuning loss-curve question vs SDXL dataset-mapping OOM are unrelated." + "reason": "One is about whether a loss curve looks expected; the other is an OOM during dataset mapping. Different problems." }, { "left": "issue:3296", "right": "issue:5125", "accept": false, - "reason": "Checkpoint save/load with text_encoder is unrelated to the xformers CUDA invalid-configuration error." + "reason": "Checkpoint save/load with text encoder is unrelated to an XFormers CUDA invalid-configuration error." }, { "left": "issue:10428", "right": "issue:10470", "accept": false, - "reason": "Both are Flux-related, but they involve different hardware/runtime paths and different inference failures." + "reason": "Both are Flux-related, but Ascend NPU inference and torchao inference are different environments and code paths." }, { "left": "issue:4376", "right": "issue:6527", "accept": false, - "reason": "Unrelated bugs: textual inversion crash in SDXL vs EulerDiscreteScheduler add_noise behavior." + "reason": "StableDiffusionXL textual inversion crash and EulerDiscreteScheduler `add_noise` bug are different subsystems." }, { "left": "issue:1486", "right": "issue:4468", "accept": false, - "reason": "Scheduler prediction_type='sample' bug is unrelated to multi-GPU performance differences." + "reason": "DDIMScheduler prediction type behavior is unrelated to multi-GPU vs single-GPU sample-code performance." }, { "left": "issue:4773", "right": "issue:4975", "accept": false, - "reason": "Both mention LoRA loading, but one is a loading request and the other is a datatype-query performance issue." + "reason": "Both are about LoRA loading, but one is a CivitAI loading issue and the other is inefficient datatype querying." }, { "left": "issue:10470", "right": "issue:10797", "accept": false, - "reason": "Different models and failure modes: Flux torchao inference vs HunyuanVideoPipeline group offloading." + "reason": "Flux torchao inference and HunyuanVideo group offloading affect different pipelines and failure modes." }, { "left": "issue:6385", "right": "issue:7146", "accept": false, - "reason": "Different OOM contexts: StableVideoDiffusion inference vs SDXL training." + "reason": "Both are memory complaints, but StableVideoDiffusionPipeline VRAM usage and SDXL fine-tuning OOM are separate issues." }, { "left": "issue:1925", "right": "issue:4427", "accept": false, - "reason": "Stable Diffusion 2 inpainting half precision is unrelated to the T2I Multiadapter example." + "reason": "Inpainting half-precision failure and T2I Multiadapter example breakage are different features and bugs." }, { "left": "issue:3224", "right": "issue:3452", "accept": false, - "reason": "Learning-rate scaling duplication is unrelated to a 4 GB VRAM DreamBooth training question." + "reason": "Learning-rate scaling duplication is unrelated to low-VRAM Dreambooth training." }, { "left": "issue:409", "right": "issue:785", "accept": false, - "reason": "One is an AttributeError for enable_attention_slicing; the other is a scheduler performance concern." + "reason": "Missing `enable_attention_slicing` vs PNDMScheduler performance cost are not the same defect." }, { "left": "issue:6176", "right": "issue:6602", "accept": false, - "reason": "Both are LoRA-related loading errors, but they arise from different serialization/loading paths." + "reason": "Both involve LoRA/save-load workflows, but they hit different code paths: loading after Dreambooth-LoRA training vs loading after `fuse_lora()`/`save_pretrained()`." }, { "left": "issue:6280", "right": "issue:7784", "accept": false, - "reason": "Missing from_single_file support is unrelated to a missing upcast_vae attribute." + "reason": "Missing `from_single_file` on one pipeline and missing `upcast_vae` on another are unrelated API issues." }, { "left": "issue:6382", "right": "issue:7480", "accept": false, - "reason": "IP-Adapter key error after LCM-LoRA training is unrelated to DeepFloyd IF OOM." + "reason": "IP-adapter key error after LCM LoRA training and DeepFloyd IF OOM are unrelated." }, { "left": "issue:5606", "right": "issue:9803", "accept": false, - "reason": "Both are LoRA-loading problems, but one is missing alpha handling and the other is Flux LoRA loading failure." + "reason": "Both are LoRA loading failures, but one is about missing alpha handling and the other is a Flux-specific loading failure." }, { "left": "issue:1720", "right": "issue:2442", "accept": false, - "reason": "M1 Pro finetuning errors are unrelated to inpainting loss-curve expectations." + "reason": "M1 finetuning errors and an expected-loss-curve question for inpainting are different topics." }, { "left": "issue:1865", "right": "issue:1946", "accept": false, - "reason": "Zero-stage3 dimension error is unrelated to the xformers CUDA invalid-argument issue." + "reason": "Zero-stage-3 finetuning dimension errors and XFormers CUDA invalid-argument errors come from different subsystems." }, { "left": "issue:10591", "right": "issue:6632", "accept": false, - "reason": "A problem in the SD3 LoRA training script is unrelated to whether save_state is necessary." + "reason": "One reports a problem in an SD3 LoRA training script; the other asks whether `save_state` is necessary. Not a duplicate bug." }, { "left": "issue:10928", "right": "issue:7267", "accept": false, - "reason": "Missing fp16 file during model loading is unrelated to broken local data loading in train_controlnet.py." + "reason": "Missing a specific UNet weight file and broken local dataset loading in `train_controlnet.py` are different file/loading failures." }, { "left": "issue:1141", "right": "issue:699", "accept": false, - "reason": "Local-file support in custom pipelines is unrelated to negative prompt support." - }, - { - "left": "issue:1823", - "right": "issue:547", - "accept": false, - "reason": "Swapped comments in depth2img is unrelated to documentation for loading Stable Diffusion locally." - }, - { - "left": "issue:228", - "right": "issue:547", - "accept": false, - "reason": "Broken release link is unrelated to local-loading documentation." + "reason": "Local file support in custom pipelines and negative prompts are unrelated feature requests." } ] }, "evaluator_result": { "accept": false, - "feedback": "Reject: the summary is mostly grounded, but one soft-edge verdict is too strong. The packet only shows title-level similarity and no pair evidence; accepting issue:10016 vs issue:6183 as the same bugfix goes beyond what is supported. A more conservative verdict would keep that pair undecided/false based on the available data." + "feedback": "Most of the negative pairwise judgments look conservative and are supported by the titles. However, the one accepted duplicate pair is a bit too strong for the evidence in the packet: issue:10016 and issue:6183 both involve `from_single_file` and shape mismatches, but the packet only gives titles, and the models/pipelines differ (SD3.5M vs SDXL) with no body-level confirmation that this is the same bug. I\u2019d keep that pair soft/uncertain rather than accepted." }, "evaluator_used": true, "retried": true, @@ -44028,7 +43907,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10315", @@ -44038,23 +43917,23 @@ "issue:11702", "issue:12047", "issue:13107", - "issue:1407", "issue:1434", + "issue:1823", "issue:2163", + "issue:228", "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:547", "issue:5515", "issue:6092", "issue:6443", @@ -44066,7 +43945,6 @@ "issue:7354", "issue:7480", "issue:7695", - "issue:771", "issue:8464", "issue:8477", "issue:8482", @@ -44080,6 +43958,8 @@ "issue:9914" ], "soft_pairs": [ + "issue:1823|issue:547", + "issue:228|issue:547", "issue:3379|issue:945", "issue:3452|issue:3658", "issue:4080|issue:8482", @@ -44101,182 +43981,180 @@ "issue:10016|issue:11178", "issue:9767|issue:9914", "issue:10315|issue:8477", - "issue:10866|issue:12047", - "issue:4236|issue:771", - "issue:1407|issue:3984" + "issue:10866|issue:12047" ], - "prepared_review_unit_hash": "9374550123649b1b40ddd88fda0eae001a752ae856ee72ff894ba4a71a97fdfc", + "prepared_review_unit_hash": "1d405cb13478283e2f32598d4bd739ab6a373c78e1c8b8adff640d75d35e3ce6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 34089, - "estimated_input_tokens": 8523, - "estimated_eval_tokens": 17302 + "serialized_chars": 33509, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These issues are mostly unrelated; they share broad themes like loading/training errors, but not the same concrete bug or fix. I would reject every soft edge.", - "confidence": 0.93, - "canonical_issue_reason": "issue:10016 is the clearest, most specific bug report in the set, with a concrete error signature, model name, and code path (`from_single_file` / empty state dict shape mismatch).", + "summary": "No soft pair looks like the same underlying bug/change. The set is a grab bag of unrelated loading, training, OOM, scheduler, and LoRA issues that only share broad diffusers/modeling vocabulary.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10016 is the best representative only in the sense that it is a precise, concrete bug report with a clear failure mode and reproducible load path; the cluster as a whole is not a true duplicate set.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10016 is the best anchor for triage because it is precise and reproducible, making it easier to identify true duplicates if any appear later.", + "best_issue_reason": "issue:10016 has the clearest scoped symptom and strongest bug-report quality among the issues, making it the least-bad representative if one must be chosen.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1823", + "right": "issue:547", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to documentation about loading stable diffusion locally." + }, + { + "left": "issue:228", + "right": "issue:547", + "accept": false, + "reason": "Broken model link is a release artifact problem, not a documentation issue." + }, { "left": "issue:3379", "right": "issue:945", "accept": false, - "reason": "Different problems: DreamBooth intermediate checkpoint loading vs ONNX conversion of a custom checkpoint." + "reason": "Dreambooth checkpoint loading and ONNX custom checkpoint conversion are different code paths and failures." }, { "left": "issue:3452", "right": "issue:3658", "accept": false, - "reason": "One is a VRAM/training-resource question; the other is a specific upsampler training bug about extra noise latents." + "reason": "Low-VRAM Dreambooth training request is not the same as the additional-noise-latents bug in upsampler scripts." }, { "left": "issue:4080", "right": "issue:8482", "accept": false, - "reason": "Add SDXL inpainting support vs support for stable-diffusion-3-medium are different feature requests." + "reason": "Adding SDXL inpainting support is a feature request, not the same as SD3.5 support." }, { "left": "issue:434", "right": "issue:435", "accept": false, - "reason": "Notebook breakage on version 0.3.0 vs an `AutoencoderKLOutput.sample` attribute error are different failures." + "reason": "Training notebook breakage and AutoencoderKLOutput.sample error are related only by notebook context, not the same bug." }, { "left": "issue:4724", "right": "issue:7695", "accept": false, - "reason": "SDXL img2img behavior with a checkpoint vs ignored `ip_adapter_masks` in attention processing are unrelated." + "reason": "SDXL img2img behavior and ip_adapter_masks warnings in attention are different problems." }, { "left": "issue:5515", "right": "issue:8464", "accept": false, - "reason": "LCM scheduler initialization failure and SEGA seed/cpu-offload failure are different code paths." + "reason": "LCM scheduler initialization failure and SEGA seed/offload failure are different pipeline bugs." }, { "left": "issue:6812", "right": "issue:6821", "accept": false, - "reason": "LoRA Q/K/V dtype mismatch vs invalid `caption_column` validation are unrelated training-script errors." + "reason": "LoRA Q/K/V dtype mismatch and caption_column validation error are unrelated training-script issues." }, { "left": "issue:7133", "right": "issue:9358", "accept": false, - "reason": "Both touch LoRA/text encoders, but one is a resume-from-checkpoint size mismatch and the other is Flux-specific reinitialization behavior." + "reason": "Checkpoint resume size mismatch in SDXL DreamBooth LoRA is not the same as redundant text-encoder reinit in Flux LoRA training." }, { "left": "issue:6092", "right": "issue:9164", "accept": false, - "reason": "Both mention LoRA training issues, but one is a general example not learning and the other is Flux DreamBooth convergence." + "reason": "LoRA example not training and dog example not converging are both training complaints but not the same concrete defect." }, { "left": "issue:5044", "right": "issue:8874", "accept": false, - "reason": "Kandinsky 2.2 load failure and a `from_single_file` CKPT unpickling error are different model-loading bugs." + "reason": "Kandinsky 2.2 load failure and CKPT unpickling failure are different load mechanisms and errors." }, { "left": "issue:1434", "right": "issue:7480", "accept": false, - "reason": "Both are OOM reports, but they concern different pipelines and symptoms." + "reason": "Upscaling OOM in StableDiffusionUpscalePipeline is unrelated to DeepFloyd IF memory usage." }, { "left": "issue:2163", "right": "issue:4316", "accept": false, - "reason": "UNet dtype mismatch in text-to-image training vs DreamBooth validation option failure are not the same bug." + "reason": "UNet dtype mismatch in text-to-image training is not the same as validation-option failure in DreamBooth." }, { "left": "issue:11702", "right": "issue:13107", "accept": false, - "reason": "Both are LoRA key errors, but for different models and loading paths; no evidence of a shared concrete defect." + "reason": "AccVid LoRA key errors and Flux Klein LoRA missing keys are different model/LoRA compatibility issues." }, { "left": "issue:2696", "right": "issue:3223", "accept": false, - "reason": "CUDA not compiled into Torch vs GPU RAM not being cleared are completely different issues." + "reason": "Torch CUDA not compiled and RAM not cleared after moving pipeline to cuda are unrelated environment/runtime issues." }, { "left": "issue:7079", "right": "issue:7228", "accept": false, - "reason": "Transformer2DModel patch/norm error and traced-model missing `dtype` attribute are unrelated." + "reason": "Transformer2DModel patch/norm error and traced-model missing dtype are distinct model API bugs." }, { "left": "issue:4446", "right": "issue:8589", "accept": false, - "reason": "Custom text encoder loading in `from_single_file` and SD3 DreamBooth prior-preservation support are different problems." + "reason": "Custom text_encoder loading in from_single_file is not the same as SD3 DreamBooth prior-preservation training." }, { "left": "issue:6443", "right": "issue:7354", "accept": false, - "reason": "Both are scheduler compatibility complaints, but they affect different pipelines and likely different underlying code paths." + "reason": "SAGPipeline scheduler compatibility and PNDMScheduler incompatibility with DDPMPipeline are different scheduler/pipeline mismatches." }, { "left": "issue:10526", "right": "issue:9514", "accept": false, - "reason": "Both involve Flux FP8/quantization, but one is a tensor-construction TypeError and the other is LoRA loading after quantization." + "reason": "optimum.quanto FP8 tensor construction error and LoRA loading after fp8 quantisation are related only broadly to quantization." }, { "left": "issue:10016", "right": "issue:11178", "accept": false, - "reason": "Both mention `from_single_file`, but they involve different models and different loading failures." + "reason": "Both are from_single_file loading errors, but one is SD3.5M pos_embed shape mismatch and the other is MistoLine ControlNet loading; different models and failure modes." }, { "left": "issue:9767", "right": "issue:9914", "accept": false, - "reason": "Different Flux LoRA issues: one is a cuDNN frontend runtime error, the other is a LoRA loading problem with Xlabs." + "reason": "FluxImg2Img cuDNN frontend error and Xlabs-trained LoRA loading fix proposal are not the same underlying bug." }, { "left": "issue:10315", "right": "issue:8477", "accept": false, - "reason": "CogVideo training error and a DDP error in a consistency training script are unrelated." + "reason": "CogVideo training error and distributed consistency-script error are unrelated training failures." }, { "left": "issue:10866", "right": "issue:12047", "accept": false, - "reason": "Different models and symptoms: Lumina LoRA loading vs Wan2.2 GGUF LoRA fusion failure." - }, - { - "left": "issue:4236", - "right": "issue:771", - "accept": false, - "reason": "SDXL refiner text-encoder registration issue vs BF16 DreamBooth support are unrelated." - }, - { - "left": "issue:1407", - "right": "issue:3984", - "accept": false, - "reason": "Onnx pipeline feature_extractor regression and class_labels validation error are different bugs." + "reason": "Lumina Image 2.0 LoRA incompatibility and Wan2.2 GGUF LoRA fusion failure are different model-family issues." } ] }, @@ -44298,17 +44176,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10231", "issue:1037", "issue:10639", - "issue:11088", "issue:11136", "issue:1141", "issue:12047", "issue:12329", "issue:13079", + "issue:1407", "issue:1537", "issue:1541", "issue:1974", @@ -44319,9 +44197,9 @@ "issue:2781", "issue:3182", "issue:3420", - "issue:3740", + "issue:3984", "issue:4134", - "issue:4213", + "issue:4236", "issue:4398", "issue:4488", "issue:4639", @@ -44339,6 +44217,7 @@ "issue:7418", "issue:7492", "issue:7591", + "issue:771", "issue:7931", "issue:8874", "issue:8885", @@ -44349,6 +44228,8 @@ "issue:9873" ], "soft_pairs": [ + "issue:4236|issue:771", + "issue:1407|issue:3984", "issue:4398|issue:6492", "issue:2107|issue:6815", "issue:2444|issue:4639", @@ -44370,192 +44251,187 @@ "issue:1541|issue:4488", "issue:11136|issue:13079", "issue:1974|issue:5447", - "issue:10231|issue:8885", - "issue:3740|issue:4213", - "issue:11088|issue:12047" + "issue:10231|issue:8885" ], - "prepared_review_unit_hash": "1d4eb3f697f74e59bcfb82b56223d1422409d6e4306858ff37d5fd72d6a5fc48", + "prepared_review_unit_hash": "6ebdcacae71824e7bb291e9e25f334f14a002b52a213f814f692497948484cc9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34047, - "estimated_input_tokens": 8512, - "estimated_eval_tokens": 17280 + "serialized_chars": 34596, + "estimated_input_tokens": 8649, + "estimated_eval_tokens": 17554 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is mostly a bag of superficially similar but unrelated issues. I only accept the HeaderTooLarge checkpoint-loading pair as the same underlying bug; all other soft matches are too broad or hit different code paths/features.", - "confidence": 0.89, - "canonical_issue_reason": "issue:7591 is the best representative of the shared HeaderTooLarge `from_single_file` loading failure; issue:5520 is the same error reported more generically.", + "summary": "This looks like a false-positive cluster: the items span unrelated issues across tutorials, training scripts, pipeline support, model loading, and device/runtime errors. None of the soft pairs appear to be the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits this set; the items are thematically broad but not duplicate-convergent, so the cluster should be split rather than anchored to one issue.", "canonical_pr_reason": null, - "best_issue_reason": "issue:7591 has the most actionable reproduction (`from_single_file` with `local_files_only=True`) while still describing the same bug as issue:5520.", + "best_issue_reason": "None of the issues is a strong global canonical for the whole set because they address different code paths and product areas; the safest triage is no global issue canonical.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4236", + "right": "issue:771", + "accept": false, + "reason": "Both mention SD/model incompatibility, but one is an SDXL refiner registration issue and the other is a BF16+Dreambooth problem; different bugs." + }, + { + "left": "issue:1407", + "right": "issue:3984", + "accept": false, + "reason": "One is an ONNX pipeline missing feature_extractor, the other is a class_labels validation error; unrelated failure modes." + }, { "left": "issue:4398", "right": "issue:6492", "accept": false, - "reason": "Both mention black images, but one is an SDXL LoRA-dreambooth pipeline issue and the other is a generic image generation symptom; not the same bug." + "reason": "Both describe black images, but one is an SDXL LoRA-dreambooth pipeline and the other is generic image generation; too broad to treat as the same bug." }, { "left": "issue:2107", "right": "issue:6815", "accept": false, - "reason": "Similar black-image symptom, but one is about low-resolution outputs and the other is a runtime warning during validation; different failure modes." + "reason": "Both involve bad low-resolution/black outputs, but one is about sub-512 image resolution glitches and the other is a tensorboard casting warning; not the same code path." }, { "left": "issue:2444", "right": "issue:4639", "accept": false, - "reason": "Different training scripts and different errors: a subprocess exit in DreamBooth inpaint vs a multiprocessing dataloader error in InstructPix2Pix SDXL." + "reason": "Both are training-script errors, but one is dreambooth inpaint subprocess failure and the other is SDXL instruct-pix2pix dataloader multiprocessing; different causes." }, { "left": "issue:1037", "right": "issue:1141", "accept": false, - "reason": "One is a community pipeline feature request, the other is support for local files in custom pipelines; unrelated requests." + "reason": "A community pipeline request and local-file support for custom pipelines are different feature requests." }, { "left": "issue:10639", "right": "issue:9873", "accept": false, - "reason": "Both are feature requests for different pipelines/models (Lumina-Image 2.0 vs OmniGen), not the same change." + "reason": "Both are model/pipeline additions, but Lumina-Image 2.0 and OmniGen are distinct model integrations." }, { "left": "issue:2156", "right": "issue:2465", "accept": false, - "reason": "One reports training using CPU instead of GPU; the other asks for a reproducible recipe. Not a duplicate bug." + "reason": "One reports CPU-only Dreambooth training; the other asks for a reproducible recipe. Same topic, not the same bug." }, { "left": "issue:2781", "right": "issue:5919", "accept": false, - "reason": "One is a distributed/gloo CUDA device error, the other is a missing `set_lora_layer` attribute on Linear; distinct issues." + "reason": "Distributed training _cuda_setDevice error and LoRA layer attribute error are unrelated runtime issues." }, { "left": "issue:5557", "right": "issue:9729", "accept": false, - "reason": "Different errors in different areas: unexpected `use_reentrant` kwarg vs unexpected save-model type for Flux LoRA training." + "reason": "Both mention unexpected arguments, but one is use_reentrant and the other is save_model on T5EncoderModel; different API mismatches." }, { "left": "issue:7418", "right": "issue:8939", "accept": false, - "reason": "A bug in an example script is not the same as a tokenizer-loading failure for a specific SD3 model." + "reason": "The first is a bug in a community upscale script; the second is a tokenizer loading failure for SD3. Different subsystems." }, { "left": "issue:6832", "right": "issue:7931", "accept": false, - "reason": "Both involve IP-Adapter, but the concrete failures differ: tuple shape error vs ControlNet inpaint/embed handling." + "reason": "Both involve IP-Adapter-like image handling, but one is a tuple/shape crash and the other is ControlNet inpaint with ip_adapter_image_embeds; not the same defect." }, { "left": "issue:12047", "right": "issue:12329", "accept": false, - "reason": "Both mention Wan2.2/GGUF, but one is LoRA fusion failure and the other is wrong transformer version loading; different bugs." + "reason": "Both concern Wan model variants, but one is LoRA fusion failing on Wan2.2 GGUF and the other is incorrect transformer version selection; separate bugs." }, { "left": "issue:5520", "right": "issue:7591", - "accept": true, - "reason": "Same underlying `HeaderTooLarge` safetensors/header deserialization failure during `from_single_file` loading." + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is generic deserialization and the other is from_single_file with local_files_only; not enough to merge." }, { "left": "issue:5619", "right": "issue:9558", "accept": false, - "reason": "Both mention black images, but one is an AutoencodeTiny/LCM img2img encode issue and the other is tensorboard validation-image display." + "reason": "Both end up with black images, but one is an AutoencodeTiny LCM img2img encode bug and the other is tensorboard validation display; different failure points." }, { "left": "issue:8874", "right": "issue:9052", "accept": false, - "reason": "Both are `from_single_file` checkpoint-loading complaints, but the reported failures and specifics differ; not enough evidence they are the same concrete bug." + "reason": "Both are from_single_file checkpoint-loading problems, but one is a PyTorch unpickling/weights-only failure and the other is civit checkpoint compatibility; likely different root causes." }, { "left": "issue:6870", "right": "issue:7492", "accept": false, - "reason": "Missing `enable_vae_tiling` on SD img2img/inpaint is unrelated to a repository-not-found error." + "reason": "One is missing enable_vae_tiling on img2img/inpaint, the other is a repository lookup failure for a T2I adapter URL; unrelated." }, { "left": "issue:3182", "right": "issue:3420", "accept": false, - "reason": "Different pipeline incompatibilities: CPU offload with a custom LPW pipeline vs ControlNet inpaint with a diffusion pipeline." + "reason": "Both are pipeline incompatibilities, but one is CPU offload with a custom LPW pipeline and the other is a ControlNet inpaint pipeline vs diffusion pipeline mismatch." }, { "left": "issue:6230", "right": "issue:6791", "accept": false, - "reason": "One is an OOM in SDXL training; the other is a generic can't-run report. Too vague to be the same bug." + "reason": "Both are SDXL training script problems, but one is CUDA OOM and the other is a script that cannot run at all; not the same bug." }, { "left": "issue:1537", "right": "issue:4134", "accept": false, - "reason": "Both involve Apple MPS, but the scheduler-specific KDPM2 issue and the ControlNet tensor-shape mismatch are different code paths." + "reason": "Apple MPS scheduler behavior and ControlNet tensor-size mismatch are different device/model issues." }, { "left": "issue:1541", "right": "issue:4488", "accept": false, - "reason": "Both concern checkpoint/model-type loading, but one is DreamBooth model-type detection and the other is SDXL loading without `pipeline_class`; not clearly the same bug." + "reason": "Dreambooth CKPT model-type detection and SDXL checkpoint loading without pipeline_class are separate loading problems." }, { "left": "issue:11136", "right": "issue:13079", "accept": false, - "reason": "An unsupported timestep configuration in SanaSprint is unrelated to a CUDA OOM in FLUX.2-klein." + "reason": "A SanaSprint timestep limitation and a FLUX.2-klein CUDA OOM loop issue are unrelated." }, { "left": "issue:1974", "right": "issue:5447", "accept": false, - "reason": "Both mention schedulers, but one is about reproducible batch generators and the other is a denoising_start bug with 2nd-order schedulers." + "reason": "Euler generator-list reproducibility and SDXL img2img denoising_start with 2nd-order schedulers do not describe the same bug." }, { "left": "issue:10231", "right": "issue:8885", "accept": false, - "reason": "ImportError in a tutorial on Ubuntu and a clip-retrieval/custom diffusion install issue are different problems." - }, - { - "left": "issue:3740", - "right": "issue:4213", - "accept": false, - "reason": "One is legacy attention conversion with `device_map='sequential'`; the other is SDXL single-file loading without accelerate. Different failures." - }, - { - "left": "issue:11088", - "right": "issue:12047", - "accept": false, - "reason": "Both mention Wan/GGUF, but one is a transformer load error and the other is LoRA fusion failure; not the same concrete bug." + "reason": "Ubuntu tutorial ImportError and custom diffusion dependency/token loading issues are unrelated." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary stays within the packet evidence and the soft-edge rejections are conservative. The only accepted pair, issue:5520 and issue:7591, is a reasonable match on the shared HeaderTooLarge / from_single_file loading failure, while the other pairs are appropriately treated as distinct based on their titles and described failure modes." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -44570,13 +44446,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10281", "issue:1049", + "issue:11088", "issue:11135", "issue:1141", "issue:11978", + "issue:12047", "issue:12149", "issue:12547", "issue:12574", @@ -44588,6 +44466,7 @@ "issue:2747", "issue:2785", "issue:3045", + "issue:3740", "issue:4002", "issue:4213", "issue:4321", @@ -44598,7 +44477,6 @@ "issue:5475", "issue:5605", "issue:5628", - "issue:5630", "issue:5873", "issue:6093", "issue:6232", @@ -44611,7 +44489,6 @@ "issue:7752", "issue:7882", "issue:7978", - "issue:8792", "issue:9161", "issue:9186", "issue:9227", @@ -44621,6 +44498,8 @@ "issue:9942" ], "soft_pairs": [ + "issue:3740|issue:4213", + "issue:11088|issue:12047", "issue:1049|issue:2747", "issue:1141|issue:5605", "issue:1614|issue:4321", @@ -44643,181 +44522,186 @@ "issue:5628|issue:6232", "issue:2785|issue:6928", "issue:5004|issue:6093", - "issue:4213|issue:7978", - "issue:5630|issue:8792" + "issue:4213|issue:7978" ], - "prepared_review_unit_hash": "283e23916877c79f3ce366844bcfe589283f6959c25a4fec830c285e4373a8df", + "prepared_review_unit_hash": "d4d00419f278de49a4dcd454632bdf42324014cc7629a2f11e126c85abf90376", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33633, - "estimated_input_tokens": 8409, - "estimated_eval_tokens": 17074 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34416, + "estimated_input_tokens": 8604, + "estimated_eval_tokens": 17464 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No genuine duplicates detected; the soft-similarity pairs are mostly broad-topic matches only, spanning unrelated feature requests and bug reports. There is no clear canonical issue or PR for the whole set.", - "confidence": 0.95, - "canonical_issue_reason": null, + "summary": "This cluster is a noisy mix of unrelated feature requests, docs issues, training bugs, model-support requests, and runtime errors; none of the soft pairs look like true duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No suitable canonical issue: the items span unrelated topics, so there is no single issue that represents the whole cluster.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12574 is the most concrete, bug-focused report with a specific failing pipeline and underlying control-argument mismatch.", + "best_issue_reason": "No global best issue: the cluster is too heterogeneous for one issue to serve as a meaningful duplicate target.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3740", + "right": "issue:4213", + "accept": false, + "reason": "Both mention conversion/loading paths, but one is legacy attention conversion with accelerate device_map and the other is SD-XL from_single_file without accelerate; different bugs." + }, + { + "left": "issue:11088", + "right": "issue:12047", + "accept": false, + "reason": "Both involve Wan/GGUF, but one is a transformer load error and the other is LoRA fusion failing; not the same code path or fix." + }, { "left": "issue:1049", "right": "issue:2747", "accept": false, - "reason": "Both are generic doc-related titles, but one is specifically about Euler schedulers; the other is a vague docs update." + "reason": "These are both doc-related, but they request different documentation updates and are not duplicates of the same missing docs item." }, { "left": "issue:1141", "right": "issue:5605", "accept": false, - "reason": "Different feature requests: local file support in custom pipelines vs per-image captions for SDXL Dreambooth." + "reason": "Local-file support in custom pipelines is unrelated to per-image caption support for SDXL DreamBooth." }, { "left": "issue:1614", "right": "issue:4321", "accept": false, - "reason": "Both mention black images, but they affect different backends and pipelines with different failure modes." + "reason": "Both report bad images, but one is MPS/autocast black output in SD 2.1 and the other is DirectML FP16 ONNX black images; different backends and failures." }, { "left": "issue:4002", "right": "issue:7882", "accept": false, - "reason": "Both involve from_single_file support, but they target different pipeline classes and likely different code paths." + "reason": "Both mention missing from_single_file support, but they target different pipelines and model types, so they are not the same feature request." }, { "left": "issue:5873", "right": "issue:7053", "accept": false, - "reason": "ONNX export failure is unrelated to UNet3D class conditioning." + "reason": "ONNX export of scaled_dot_product_attention is a conversion/export issue, while UNet3DConditionModel class conditioning is a model API bug." }, { "left": "issue:12547", "right": "issue:12574", "accept": false, - "reason": "Different bugs in different training/inference scripts; only the titles mention runtime argument problems." + "reason": "One is a Dreambooth Flux Kontext training CLI argument requirement, the other is WanVideoToVideoPipeline control-argument handling; distinct bugs." }, { "left": "issue:7168", "right": "issue:9448", "accept": false, - "reason": "Both involve IP-Adapter shape issues, but the reports describe different pipelines and symptoms, not one concrete bug." + "reason": "Both involve IP-Adapter tensor handling, but one is about obtaining correct embeddings and the other is a tuple-shape error in ControlNet inpaint; not the same report." }, { "left": "issue:4892", "right": "issue:5475", "accept": false, - "reason": "Distinct video-model feature requests with no shared failure or implementation target." + "reason": "TokenFlow video editing and LaVie video generation are different pipeline requests with different goals and implementations." }, { "left": "issue:9161", "right": "issue:9227", "accept": false, - "reason": "Same training family, but one is distributed training bugs and the other is a model-specific FLUX.1-dev usage problem." + "reason": "Both are about train_dreambooth_lora_flux.py, but one reports distributed bugs generally and the other is a specific FLUX.1-dev model run failure." }, { "left": "issue:1730", "right": "issue:7752", "accept": false, - "reason": "Model conversion failure and a training hyperparameter question are unrelated." + "reason": "Converting Dreambooth safetensors to CKPT is unrelated to the question about num_class-images during stable diffusion training." }, { "left": "issue:10281", "right": "issue:11135", "accept": false, - "reason": "Different new-model requests: a diffusion scheduler vs a pipeline for SmoothCache." + "reason": "FreeScale scheduler support and the SmoothCache new pipeline request are unrelated diffusion features." }, { "left": "issue:12722", "right": "issue:13079", "accept": false, - "reason": "Completely different problems: Kaggle runtime setup vs CUDA OOM in a FLUX.2-klein loop." + "reason": "Kaggle Qwen-image usage and FLUX.2-klein CUDA OOM are different models and different failure modes." }, { "left": "issue:3045", "right": "issue:4974", "accept": false, - "reason": "Both are conversion requests, but one is LoRA-specific and the other is a general safetensors-to-diffusers conversion." + "reason": "Both are about converting safetensors, but one is LoRA-to-diffusers conversion and the other is generic model conversion; not the same issue." }, { "left": "issue:7882", "right": "issue:9186", "accept": false, - "reason": "Different pipeline features: missing from_single_file support vs differential diffusion with ControlNet." + "reason": "Missing from_single_file for t2i-adapter is a support request, while differential diffusion with ControlNet is a different pipeline feature request." }, { "left": "issue:457", "right": "issue:660", "accept": false, - "reason": "Both are MPS-related rendering issues, but one is blue artifacts and the other is fp16 revision loading." + "reason": "Both target MPS, but one is blue artifacts and the other is fp16 revision/dtype loading; different problems." }, { "left": "issue:11978", "right": "issue:13232", "accept": false, - "reason": "Two separate model-support requests for different pipelines and models." + "reason": "Bria 3.2 pipeline support and LTX-2.3 support are separate model integration requests." }, { "left": "issue:12149", "right": "issue:9942", "accept": false, - "reason": "One reports source/install mismatch after pip install; the other is an installation failure for a version constraint." + "reason": "Both are packaging/version complaints, but one says pip diffusers 0.34.0 does not match source and the other is inability to install diffusers>=0.32.0dev; not duplicates." }, { "left": "issue:7080", "right": "issue:7142", "accept": false, - "reason": "Different inference discrepancies: wandb output divergence vs SDXL-lightning mismatch with webui." + "reason": "ControlNet training inference output mismatch and SDXL-lightning inference mismatch with webui are different comparison bugs." }, { "left": "issue:9576", "right": "issue:9673", "accept": false, - "reason": "Different pipeline-loading bugs: safetensors propagation vs CPU usage when loading multiple LoRAs." + "reason": "Passing use_safetensors to submodules on load and high CPU when loading multiple LoRAs are unrelated loading bugs." }, { "left": "issue:5628", "right": "issue:6232", "accept": false, - "reason": "Both are scheduler bugs, but they affect different schedulers and different APIs." + "reason": "LMS scheduler Karras sigma offset and DPMSolverSinglestepScheduler add_noise failure are separate scheduler-specific bugs." }, { "left": "issue:2785", "right": "issue:6928", "accept": false, - "reason": "Unrelated feature requests for different pipelines and hardware/UI behavior." + "reason": "M1/M2 text-to-video support is unrelated to disabling depthmap colorization in the Marigold pipeline." }, { "left": "issue:5004", "right": "issue:6093", "accept": false, - "reason": "Different SDXL training-script issues: checkpoint resume vs push_to_hub repo creation." + "reason": "SDXL Dreambooth resume-at-fp16 training and push_to_hub behavior in a consistency-model LoRA script are unrelated training issues." }, { "left": "issue:4213", "right": "issue:7978", "accept": false, - "reason": "From_single_file/accelerate loading issue is unrelated to a missing torchvision operator." - }, - { - "left": "issue:5630", - "right": "issue:8792", - "accept": false, - "reason": "Both mention image quality, but one is LMS scheduler noise in SDXL img2img and the other is a general migration complaint." + "reason": "from_single_file without accelerate and a torchvision::nms install/runtime error are completely different failures." } ] }, @@ -44839,7 +44723,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1037", "issue:10447", @@ -44853,9 +44737,7 @@ "issue:12536", "issue:1434", "issue:1811", - "issue:1925", "issue:1931", - "issue:2036", "issue:2107", "issue:2673", "issue:2838", @@ -44871,6 +44753,7 @@ "issue:5215", "issue:5399", "issue:5509", + "issue:5630", "issue:5719", "issue:5897", "issue:6164", @@ -44881,6 +44764,7 @@ "issue:7660", "issue:8464", "issue:8729", + "issue:8792", "issue:8826", "issue:8839", "issue:8900", @@ -44891,6 +44775,7 @@ "issue:9856" ], "soft_pairs": [ + "issue:5630|issue:8792", "issue:2107|issue:4104", "issue:4402|issue:8900", "issue:12459|issue:9717", @@ -44913,97 +44798,102 @@ "issue:7354|issue:7660", "issue:12533|issue:12536", "issue:10550|issue:10594", - "issue:1434|issue:5215", - "issue:1925|issue:2036" + "issue:1434|issue:5215" ], - "prepared_review_unit_hash": "1f763b1caad7f5b009e80114c092df69d044bb3fc6c876c8791513e79af54571", + "prepared_review_unit_hash": "397b5c2b4b5662c734651142296b856d881e407c875590851799c93f9607e703", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34609, - "estimated_input_tokens": 8653, - "estimated_eval_tokens": 17562 + "serialized_chars": 34685, + "estimated_input_tokens": 8672, + "estimated_eval_tokens": 17600 }, "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; they mostly share broad keywords like LoRA, shape errors, or image glitches but target different code paths. The most representative issue here is #10550 because it is concrete, reproducible, and widely relevant to a core LoRA loading path.", - "confidence": 0.74, - "canonical_issue_reason": "#10550 is the strongest canonical issue: it has a clear, specific failure mode ([LoRA] loading into a quantized base model), strong discussion activity, and a well-defined code path that is likely useful as the reference bug for this set.", + "summary": "Only one soft pair is a clear duplicate: the two issues about preferring .safetensors/.bin weights when both exist. The rest are topic-adjacent at best but describe different pipelines, symptoms, or code paths.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 1811 is the cleaner canonical because it states the exact file-selection bug in `from_pretrained` and is phrased as the underlying behavior to fix; 5719 is the same bug from the LoRA-loading path and is narrower.", "canonical_pr_reason": null, - "best_issue_reason": "#10550 is the best standalone issue to keep as the primary reference because it is specific, actionable, and centrally about a common model-loading failure rather than a one-off usage question or vague runtime error.", + "best_issue_reason": "Issue 1811 is the best representative overall: specific, actionable, and clearly about a single loader bug rather than a broad symptom report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5630", + "right": "issue:8792", + "accept": false, + "reason": "Both involve SDXL image quality, but one is about LMS scheduler leftovers in img2img and the other is a general migration-quality complaint; not the same concrete bug." + }, { "left": "issue:2107", "right": "issue:4104", "accept": false, - "reason": "Both mention black/glitchy outputs, but one is a low-resolution artifact issue and the other is a numeric/casting failure in a different pipeline; they do not look like the same bug." + "reason": "Both mention black/glitchy images, but 2107 is resolution-specific while 4104 is tied to an invalid-cast warning; likely different failure modes." }, { "left": "issue:4402", "right": "issue:8900", "accept": false, - "reason": "Both involve from_single_file and SDXL-related loading, but one is an inpaint pipeline usage error and the other is about loading the refiner; different concrete problems." + "reason": "Both use `from_single_file`, but they concern different SDXL models and different loading problems; not one shared bug." }, { "left": "issue:12459", "right": "issue:9717", "accept": false, - "reason": "A throughput regression in FLUX batch inference is unrelated to a docker image error." + "reason": "Throughput in batch inference and a docker image launch error are unrelated." }, { "left": "issue:4726", "right": "issue:4806", "accept": false, - "reason": "These are both API typing complaints, but they affect different symbols and likely different annotations rather than the same underlying bug." + "reason": "Both are type-related API issues, but they affect different symbols and likely different fixes." }, { "left": "issue:5897", "right": "issue:8826", "accept": false, - "reason": "A device-mismatch LoRA training failure and a torch.cat empty-list error are different runtime failures with no clear shared code path." + "reason": "LoRA training device-mismatch and an empty-list `torch.cat` error are distinct runtime problems." }, { "left": "issue:10650", "right": "issue:7003", "accept": false, - "reason": "Both are shape-related runtime errors, but they involve different models and different tensor shapes; not the same concrete issue." + "reason": "Both are shape mismatch errors, but they occur on different models/pipelines and point to different expected tensor layouts." }, { "left": "issue:8464", "right": "issue:9637", "accept": false, - "reason": "Seed handling with CPU offload and an xFormers attention-mask/bfloat16 edge case are unrelated." + "reason": "CPU offload plus seed handling is unrelated to xFormers attention-mask/bfloat shape constraints." }, { "left": "issue:10447", "right": "issue:7267", "accept": false, - "reason": "A conversion script splitting UNet weights and broken local data loading in train_controlnet.py are different problems." + "reason": "A conversion script splitting UNet weights is unrelated to broken local data loading in a training script." }, { "left": "issue:6362", "right": "issue:9523", "accept": false, - "reason": "Both mention mapping, but one is an OOM during dataset mapping and the other is a broader mapping error across training scripts; not enough evidence they are the same bug." + "reason": "Both mention dataset mapping, but one is an OOM during fine-tuning and the other is an error in specific controlnet training scripts; too broad to be the same bug." }, { "left": "issue:2673", "right": "issue:3182", "accept": false, - "reason": "An upscale pipeline config/verification failure is unrelated to a custom pipeline not working with CPU offload." + "reason": "Upscale pipeline config/image input errors are unrelated to custom pipeline CPU offload incompatibility." }, { "left": "issue:4368", @@ -45015,86 +44905,83 @@ "left": "issue:12396", "right": "issue:9856", "accept": false, - "reason": "Adapter deletion errors with leaf_level and a distributed port conflict are unrelated." + "reason": "Adapter deletion/leaf-level errors are unrelated to distributed port conflicts." }, { "left": "issue:5399", "right": "issue:5509", "accept": false, - "reason": "A dtype mismatch in a custom inpainting model and an image batch-size mismatch with ndarray/cv2 inputs are different failure modes." + "reason": "A dtype mismatch in custom inpainting is not the same as image batch-size validation for numpy/cv2 inputs." }, { "left": "issue:1037", "right": "issue:2838", "accept": false, - "reason": "Adding a community pipeline and a request about ControlNet without control are not the same underlying bug/change." + "reason": "A request to add a pipeline and a request to support a controlnet pipeline without control are not duplicates." }, { "left": "issue:1125", "right": "issue:4605", "accept": false, - "reason": "Both involve runtime errors in Stable Diffusion variants, but the pipelines and failure modes are different." + "reason": "Both mention inpaint-related errors, but the pipelines and reported failures differ; not enough evidence of one shared bug." }, { "left": "issue:8839", "right": "issue:9767", "accept": false, - "reason": "These are different model families and different errors: an SD3 LoRA weight issue versus a cuDNN frontend error on Flux img2img LoRA." + "reason": "LoRA weight errors on SD3 and a cuDNN frontend error on Flux Img2Img are unrelated." }, { "left": "issue:1811", "right": "issue:5719", - "accept": false, - "reason": "Both concern weight-file precedence, but one is generic from_pretrained behavior and the other is LoRA-weight lookup; similar pattern, not the same concrete bug." + "accept": true, + "reason": "Both report the same loader-selection bug: when both `.bin` and `.safetensors` are present, the code should prefer one instead of treating them as multiple files." }, { "left": "issue:4185", "right": "issue:4476", "accept": false, - "reason": "Both reference controlnet/SDXL and black or incorrect outputs, but one is about inference producing black images and the other is about expected results on fill50k; not clearly identical." + "reason": "Both touch SDXL ControlNet, but one is about black images at inference and the other about unexpected results on a training dataset; different bugs." }, { "left": "issue:1931", "right": "issue:6164", "accept": false, - "reason": "These are distinct dtype/output handling bugs: float16 mismatch versus latent output handling." + "reason": "Float16 dtype handling and latent output-type handling are separate pipeline behaviors." }, { "left": "issue:7354", "right": "issue:7660", "accept": false, - "reason": "A scheduler compatibility issue and a trace example failure are unrelated." + "reason": "Scheduler compatibility with DDPMPipeline is unrelated to a trace example failure." }, { "left": "issue:12533", "right": "issue:12536", "accept": false, - "reason": "Both mention context parallelism, but one is about hook conflicts with CPU offload and the other is a sharding-dimension assertion in WanImageToVideoPipeline; different code paths." + "reason": "Both involve context parallelism, but one is a hook conflict with CPU offload and the other is a mesh-size divisibility assertion; different code paths." }, { "left": "issue:10550", "right": "issue:10594", "accept": false, - "reason": "Both mention LoRA, but one is a quantized-base-model loading problem while the other is a multi-control FLUX inference issue; not the same bug." + "reason": "Loading LoRA into a quantized base model and using multiple controls with LoRA on FLUX are different problems." }, { "left": "issue:1434", "right": "issue:5215", "accept": false, - "reason": "Upscaling OOM and brightness shifts are different issues." - }, - { - "left": "issue:1925", - "right": "issue:2036", - "accept": false, - "reason": "Half-precision inpainting and an OSError loading stable-diffusion-v1-4 are separate model-loading/runtime problems." + "reason": "Upscale OOM at larger resolutions and brightness shifts for dark images are unrelated symptoms." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge calls are conservative. The only accepted pair, 1811/5719, is reasonably supported as the same loader-selection bug, while the rest are plausibly different bugs/code paths based on the titles and metadata provided." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -45109,7 +44996,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10287", @@ -45124,7 +45011,9 @@ "issue:12529", "issue:13162", "issue:1544", + "issue:1925", "issue:202", + "issue:2036", "issue:2068", "issue:2234", "issue:2462", @@ -45155,11 +45044,10 @@ "issue:9089", "issue:9164", "issue:9576", - "issue:9611", - "issue:9804", - "issue:9895" + "issue:9804" ], "soft_pairs": [ + "issue:1925|issue:2036", "issue:202|issue:4001", "issue:2068|issue:4488", "issue:3595|issue:4186", @@ -45182,181 +45070,180 @@ "issue:6894|issue:9164", "issue:10287|issue:11024", "issue:7690|issue:9804", - "issue:8873|issue:9576", - "issue:9611|issue:9895" + "issue:8873|issue:9576" ], - "prepared_review_unit_hash": "2840f925ec8ff53f08ce20df97496202574cb0ff2ac55f426f3101b06ab15d46", + "prepared_review_unit_hash": "ce107ad420b6e6857d0967ab40dd6ae86d63c3ca535c01bff77bbdf66914afe2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33414, - "estimated_input_tokens": 8354, - "estimated_eval_tokens": 16964 + "serialized_chars": 33274, + "estimated_input_tokens": 8319, + "estimated_eval_tokens": 16894 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These issues are mostly unrelated one-off reports across different models, pipelines, and failure modes. None of the soft pairs look like the same underlying bug/change, so I reject all proposed duplicate edges and do not identify a meaningful canonical representative for the set.", - "confidence": 0.98, - "canonical_issue_reason": null, + "summary": "This cluster is heterogeneous: it mixes unrelated docs, training, loading, ControlNet, LoRA, scheduler, and compile/memory issues across different model families. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "No strong canonical issue exists because the cluster is not cohesive. If forced to pick one, #10287 is the broadest, but it is too vague to represent the others as a true duplicate anchor.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "#10287 is the most generic/broad item in the set, but it is still a weak representative because the rest of the cluster spans many unrelated failures.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1925", + "right": "issue:2036", + "accept": false, + "reason": "Both mention model loading problems, but one is SD2 inpainting half-precision behavior and the other is a stable-diffusion-v1-4 OSError; different failures and code paths." + }, { "left": "issue:202", "right": "issue:4001", "accept": false, - "reason": "Test coverage request vs README/demo documentation request; not the same bug or change." + "reason": "A test request for unet_blocks is unrelated to a README/demo documentation update." }, { "left": "issue:2068", "right": "issue:4488", "accept": false, - "reason": "Different problems: dtype conversion in from_pretrained vs SDXL checkpoint loading via download_from_original_stable_diffusion_ckpt." + "reason": "Different bugs: dtype conversion in from_pretrained vs SDXL checkpoint loading without pipeline_class." }, { "left": "issue:3595", "right": "issue:4186", "accept": false, - "reason": "from_ckpt conversion failure is unrelated to SDXL inpaint/refiner behavior." + "reason": "convert-from-ckpt failure is not the same as SDXL inpaint/refiner behavior." }, { "left": "issue:4265", "right": "issue:6823", "accept": false, - "reason": "Both mention ControlNet, but one is an import/export path error and the other is a generic usage issue; not the same concrete bug." + "reason": "One is a specific import error for StableDiffusionXLControlNetPipeline; the other is a general 'cannot use controlnet' report." }, { "left": "issue:4453", "right": "issue:861", "accept": false, - "reason": "Both are checkpoint/LoRA conversion topics, but one is SDXL LoRA export to safetensors and the other is original ckpt-to-diffusers conversion." + "reason": "LoRA conversion for SDXL/A1111 is different from generic ckpt-to-diffusers conversion." }, { "left": "issue:5783", "right": "issue:6234", "accept": false, - "reason": "Specific EMA training bug vs vague SDXL script issue; no clear shared root cause." + "reason": "EMA training behavior and a generic example issue are not the same bug." }, { "left": "issue:7057", "right": "issue:7441", "accept": false, - "reason": "Model checkpoint loading problem vs pytest failing on Python 3.12; unrelated." + "reason": "Model checkpoint loading failure vs pytest failing on Python 3.12 are unrelated." }, { "left": "issue:1544", "right": "issue:2234", "accept": false, - "reason": "Missing scheduler method in SD2 vs xformers finetuning issue; different code paths." + "reason": "Missing get_velocity on DDPMScheduler is a scheduler API issue; xformers finetuning is a separate performance/training problem." }, { "left": "issue:10026", "right": "issue:12082", "accept": false, - "reason": "Training memory regression on Flux ControlNet vs WAN VAE memory increase after compile; different models and triggers." + "reason": "Both are GPU-memory-related, but one is Flux ControlNet + DeepSpeed training and the other is Wan VAE memory after compile; different stacks." }, { "left": "issue:11651", "right": "issue:13162", "accept": false, - "reason": "Both are FLUX LoRA-related, but they concern different models/features and different loading support, not one concrete bug." + "reason": "Both involve Flux LoRA support, but one is loading flux-fill-lora with FluxControl while the other is a request for Flux.2-klein-4b support; not the same concrete bug." }, { "left": "issue:12299", "right": "issue:12529", "accept": false, - "reason": "Different pipelines/models with separate tensor mismatch failures; too broad to merge." + "reason": "Different models and errors: SD3 tensor mismatch with negative prompt embeddings vs Wan2.2 tiled VAE size mismatch." }, { "left": "issue:5545", "right": "issue:5577", "accept": false, - "reason": "StableDiffusionInpaintPipeline issue vs ControlNetModel.from_single_file key error; distinct failures." + "reason": "StableDiffusionInpaintPipeline issue and ControlNetModel.from_single_file KeyError are distinct loading paths." }, { "left": "issue:4840", "right": "issue:7985", "accept": false, - "reason": "Flax checkpoint loading bug vs IPAdapter torch.compile incompatibility; unrelated." + "reason": "FlaxAutoencoderKL checkpoint loading and IPAdapter torch.compile incompatibility are unrelated." }, { "left": "issue:3886", "right": "issue:4801", "accept": false, - "reason": "Collective timeout in ddpm training vs mixed precision example bug; not the same issue." + "reason": "A distributed watchdog timeout is not the same as a mixed-precision example bug." }, { "left": "issue:10804", "right": "issue:10952", "accept": false, - "reason": "Both involve LoRA loading, but on different models with different adapter-name errors and load paths." + "reason": "Both are LoRA-loading related, but they fail in different pipelines with different adapter-name behavior; not clearly the same bug." }, { "left": "issue:5545", "right": "issue:7210", "accept": false, - "reason": "Inpaint pipeline problem vs accelerate dispatch named_parameters error; unrelated." + "reason": "Inpaint pipeline trouble and missing named_parameters on StableDiffusionXLPipeline are separate issues." }, { "left": "issue:11687", "right": "issue:11700", "accept": false, - "reason": "Docs request for Pruna vs code integration request for Pruna; related feature area but not the same underlying issue/change." + "reason": "One is a docs request for adding Pruna; the other is implementation work for loading through from_pretrained/pipeline." }, { "left": "issue:2462", "right": "issue:4080", "accept": false, - "reason": "IterableDataset finetuning support vs adding SDXL inpainting pipeline; different requests." + "reason": "IterableDataset training support and adding an SDXL inpainting pipeline are unrelated changes." }, { "left": "issue:5344", "right": "issue:9089", "accept": false, - "reason": "Missing omegaconf dependency vs missing FluxPipeline class; unrelated." + "reason": "Missing omegaconf dependency and missing FluxPipeline symbol are different problems." }, { "left": "issue:6894", "right": "issue:9164", "accept": false, - "reason": "Different LoRA training/export problems on different models and with different symptoms." + "reason": "Both are training-example LoRA complaints, but they target different models and symptoms, so they are not the same underlying bug." }, { "left": "issue:10287", "right": "issue:11024", "accept": false, - "reason": "Generic docs example issue vs SD3 IP-Adapter mixin processor .to() bug; unrelated." + "reason": "A generic docs issue is unrelated to the SiglipImageProcessor .to() method bug." }, { "left": "issue:7690", "right": "issue:9804", "accept": false, - "reason": "Tokenizer loading failure vs local SDXL ControlNet loading failure; different components." + "reason": "Tokenizer loading failure for SDXL base and local SDXL ControlNet loading failure are different code paths." }, { "left": "issue:8873", "right": "issue:9576", "accept": false, - "reason": "xformers performance complaint vs safetensors propagation bug; not the same bug." - }, - { - "left": "issue:9611", - "right": "issue:9895", - "accept": false, - "reason": "Flux batching mismatch vs Flux device-placement mismatch after a commit; both Flux-related but distinct defects." + "reason": "xformers runtime slowdown and use_safetensors not propagating to submodules are unrelated." } ] }, @@ -45378,7 +45265,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1061", "issue:10722", @@ -45398,7 +45285,6 @@ "issue:2774", "issue:2880", "issue:3064", - "issue:3412", "issue:381", "issue:3871", "issue:3948", @@ -45416,7 +45302,6 @@ "issue:5925", "issue:6130", "issue:6196", - "issue:7556", "issue:7592", "issue:7782", "issue:7793", @@ -45427,9 +45312,12 @@ "issue:8874", "issue:8950", "issue:9410", - "issue:9767" + "issue:9611", + "issue:9767", + "issue:9895" ], "soft_pairs": [ + "issue:9611|issue:9895", "issue:2161|issue:5575", "issue:8828|issue:8950", "issue:10722|issue:5607", @@ -45452,181 +45340,180 @@ "issue:1867|issue:5465", "issue:1949|issue:2163", "issue:228|issue:2880", - "issue:3064|issue:5606", - "issue:3412|issue:7556" + "issue:3064|issue:5606" ], - "prepared_review_unit_hash": "57f597bdaa5c3b0f8f4c2c9d3bb46f1c891a3b61c3ae82f0c48aa0c649fedbd4", + "prepared_review_unit_hash": "06af1b7014c88312b5554e7984df0172577f1794b48808e9362914996898dd3c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33876, - "estimated_input_tokens": 8469, - "estimated_eval_tokens": 17194 + "serialized_chars": 33945, + "estimated_input_tokens": 8487, + "estimated_eval_tokens": 17230 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the soft pairs are only superficially similar and span unrelated bugs, training flows, model families, and docs. No duplicate merge is warranted.", - "confidence": 0.98, - "canonical_issue_reason": "No single canonical issue fits this set; the items cover unrelated topics such as DreamBooth/LoRA training errors, safetensors loading, pipeline inference, and documentation updates.", + "summary": "This cluster is mostly a grab bag of unrelated diffusers bugs and feature requests across training, loading, inference, and notebooks. None of the soft pairs look like true duplicates; they mostly share only a subsystem name or a generic error pattern.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out because the items are not one underlying bug; they span distinct models, pipelines, and failure modes.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10722 is the most detailed standalone bug report, but it is specific to DreamBooth prior-preservation tensor mismatch and is not a global canonical for the heterogeneous cluster.", + "best_issue_reason": "Issue 10722 is the most concrete standalone bug report in the set: it has a specific runtime error, clear training context, and enough detail to be actionable.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:9611", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux-related, but one is an image batching error and the other is a device-placement regression after a commit; different code paths." + }, { "left": "issue:2161", "right": "issue:5575", "accept": false, - "reason": "Both involve LoRA-related questions, but one is about inpainting-model training and the other about a transformer_in hidden-size setting; different problems." + "reason": "Both mention LoRA training, but one is about inpainting-model support and the other is about hidden-size configuration for a layer." }, { "left": "issue:8828", "right": "issue:8950", "accept": false, - "reason": "Both are SD3 training errors, but one is a generic 16GB training failure and the other is specifically LoRA training; not the same bug." + "reason": "Both involve SD3 training, but one is a generic 16GB training error and the other is a LoRA training bug; not the same failure." }, { "left": "issue:10722", "right": "issue:5607", "accept": false, - "reason": "Both are tensor-size/runtime errors during training, but the shapes, context, and reported path differ; no clear same underlying defect." + "reason": "Both are tensor-size mismatch errors, but the shapes and training scenarios differ, so they do not clearly point to one underlying bug." }, { "left": "issue:1534", "right": "issue:381", "accept": false, - "reason": "DreamBooth notebook error vs custom inference pipeline notebook error; same repo area, but unrelated code paths." + "reason": "One is a DreamBooth notebook error and the other is a custom inference pipeline notebook issue; unrelated notebook paths." }, { "left": "issue:2774", "right": "issue:579", "accept": false, - "reason": "Both mention safetensors/config issues, but one is ControlNet conversion and the other is Textual Inversion config loading; different failures." + "reason": "ControlNet safetensors conversion and missing config.json in textual inversion are different loading problems." }, { "left": "issue:5043", "right": "issue:5925", "accept": false, - "reason": "These are feature requests for different LoRA-related capabilities, not the same bug or change." + "reason": "These are separate feature requests: adding LoRA finetuning for Wuerstchen vs adding ZipLora support." }, { "left": "issue:5670", "right": "issue:8667", "accept": false, - "reason": "Both are image-size related pipeline errors, but one is PixArtAlpha non-square generation and the other is SD3ControlNetModel on non-pow2 images; different models and failure modes." + "reason": "Both mention non-square image handling, but they target different pipelines/models and likely different shape assumptions." }, { "left": "issue:11046", "right": "issue:8469", "accept": false, - "reason": "One is a complex Flux pipeline integration request; the other is an IP-Adapter face corruption bug. Different pipelines and symptoms." + "reason": "One is a complex Flux pipeline composition request/error, the other is corrupted faces from a specific IP-Adapter model; not the same bug." }, { "left": "issue:3948", "right": "issue:4398", "accept": false, - "reason": "Both describe bad generated images, but one says images are pale and the other all black in SDXL LORA DreamBooth; not the same defect." + "reason": "Both concern bad generated images, but pale images and all-black images are distinct symptoms with different likely causes." }, { "left": "issue:2577", "right": "issue:2674", "accept": false, - "reason": "DDIMInverseScheduler usage problem vs a missing safetensors requirement for LoRA; unrelated issues." + "reason": "DDIMInverseScheduler usage and a LoRA dependency/requirements issue are unrelated." }, { "left": "issue:6130", "right": "issue:6196", "accept": false, - "reason": "Both are loading errors, but one is generic LoRA loading and the other is ControlNetXS Depth SDXL loading; different model loaders." + "reason": "Both are loading failures, but one is generic LoRA loading and the other is ControlNetXS Depth SDXL loading; different artifacts and code paths." }, { "left": "issue:1988", "right": "issue:3871", "accept": false, - "reason": "Both are training/resume examples, but one is fp16/bf16 dtype mismatch during generation and the other is a resume-from-checkpoint error; different root causes." + "reason": "One is an fp16/bf16 dtype mismatch during image generation in a trainer example; the other is checkpoint-resume trouble in text-to-image training." }, { "left": "issue:5025", "right": "issue:9410", "accept": false, - "reason": "Both are import-related, but one is a missing randn_tensor symbol and the other is inability to import an SD3 ControlNet Inpainting pipeline; unrelated imports." + "reason": "An import error for randn_tensor and an inability to import a specific SD3 ControlNet inpainting pipeline are different import failures." }, { "left": "issue:2052", "right": "issue:4566", "accept": false, - "reason": "Both concern resume/checkpoint behavior, but one is Textual Inversion and the other SDXL LoRA training; not the same script or bug." + "reason": "Both mention resuming from checkpoint, but they affect different training scripts and model families." }, { "left": "issue:4086", "right": "issue:7592", "accept": false, - "reason": "Both mention training with ControlNet/SD3-family components, but one is a ControlNet training failure and the other is DoRA state_dict loading; different code paths." + "reason": "ControlNet training on SDXL and DoRA state_dict loading are separate problems involving different models and failure points." }, { "left": "issue:7782", "right": "issue:8874", "accept": false, - "reason": "Both are file-loading/unpickling issues, but one is a malformed safetensors conversion and the other is ckpt loading with weights-only failure; distinct failure modes." + "reason": "Both involve loading from files/checkpoints, but one is a bad safetensors conversion and the other is a CKPT unpickling weights-only failure." }, { "left": "issue:7793", "right": "issue:9767", "accept": false, - "reason": "Both involve LoRA loading/unloading, but one is DeepFloyd-specific unloading and the other is FluxImg2Img cuDNN runtime error; not mergeable as one bug." + "reason": "One is unloading LoRA weights in DeepFloyd, the other is a cuDNN frontend error during Flux LoRA inference; not the same bug." }, { "left": "issue:10863", "right": "issue:8493", "accept": false, - "reason": "Both are load-state errors, but one is local safetensors loading and the other is SD3Transformer2DModel state_dict mismatch; different components." + "reason": "Both are state_dict loading errors, but one is a local safetensors file load failure and the other is SD3Transformer2DModel key mismatch." }, { "left": "issue:1061", "right": "issue:1475", "accept": false, - "reason": "Textual inversion docs update vs training with two different classes of images; one is documentation, the other is a training question." + "reason": "These are different training/tutorial issues: a docs update for textual inversion vs training with two class types in DreamBooth/textual inversion." }, { "left": "issue:1867", "right": "issue:5465", "accept": false, - "reason": "Both are scheduler/pipeline behavior issues, but img2img strength behavior and DiffEdit inpaint_strength limitations are separate bugs." + "reason": "Both involve image-to-image strength behavior, but img2img scheduler behavior and DiffEdit inpaint_strength support are distinct issues." }, { "left": "issue:1949", "right": "issue:2163", "accept": false, - "reason": "Both are training-example errors, but one is a custom model tutorial error and the other is a dtype mismatch in train_text_to_image; distinct reports." + "reason": "Both are training example errors, but one is a custom-model tutorial problem and the other is a UNet dtype mismatch in train_text_to_image." }, { "left": "issue:228", "right": "issue:2880", "accept": false, - "reason": "Broken Stable Diffusion link in release notes vs a JAX Colab not running; unrelated." + "reason": "A broken release link and a Colab notebook that does not run are unrelated." }, { "left": "issue:3064", "right": "issue:5606", "accept": false, - "reason": "Both involve LoRA and safetensors, but one is loading a .safetensors LoRA and the other is loading LoRA without alpha; different loader bugs." - }, - { - "left": "issue:3412", - "right": "issue:7556", - "accept": false, - "reason": "Both are docs/update tasks, but they target different documentation pages and changes; not the same change request." + "reason": "Both mention LoRA and safetensors, but one is loading a .safetensors LoRA and the other is handling missing alpha metadata." } ] }, @@ -45648,7 +45535,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10520", "issue:11046", @@ -45662,6 +45549,7 @@ "issue:2669", "issue:2673", "issue:2991", + "issue:3412", "issue:3910", "issue:4031", "issue:4037", @@ -45679,9 +45567,9 @@ "issue:6791", "issue:7114", "issue:7185", - "issue:7229", "issue:7267", "issue:7420", + "issue:7556", "issue:7636", "issue:7799", "issue:8237", @@ -45690,7 +45578,6 @@ "issue:9045", "issue:9115", "issue:9227", - "issue:9237", "issue:9309", "issue:9341", "issue:9378", @@ -45699,6 +45586,7 @@ "issue:9670" ], "soft_pairs": [ + "issue:3412|issue:7556", "issue:5905|issue:8482", "issue:9378|issue:9402", "issue:7799|issue:9115", @@ -45721,181 +45609,180 @@ "issue:12348|issue:12536", "issue:11046|issue:8450", "issue:5227|issue:7420", - "issue:2603|issue:2673", - "issue:7229|issue:9237" + "issue:2603|issue:2673" ], - "prepared_review_unit_hash": "8e3af0f68cfabd6e197bdd8130bdd238a1e09e1bcd2e7282a17dda5e4a99e3df", + "prepared_review_unit_hash": "9c074aa2cdb8b52b973fb9cfcf8443d375d7f64e3af92d1901a76e481311fb1a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33390, - "estimated_input_tokens": 8348, - "estimated_eval_tokens": 16952 + "serialized_chars": 33465, + "estimated_input_tokens": 8367, + "estimated_eval_tokens": 16990 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly noisy: it mixes unrelated pipeline runtime errors, LoRA-loading problems, training issues, and feature requests. None of the soft pairs look like the same underlying bug/change, so I would not merge any of them.", - "confidence": 0.24, - "canonical_issue_reason": "Issue 12348 is the best single anchor because it is a concrete, well-scoped runtime tensor-mismatch bug in a current pipeline and has active discussion, but the cluster is not truly one duplicate set.", + "summary": "These items are mostly one-off runtime, loading, or documentation issues across different pipelines and models. None of the soft pairs look like true duplicates of the same concrete bug/change; they mostly share a subsystem or symptom type rather than the same code-path failure.", + "confidence": 0.38, + "canonical_issue_reason": "No clear duplicate cluster emerges, so the best representative issue is issue 12348: it\u2019s a concrete, reproducible inference tensor-mismatch report for WanImageToVideoPipeline and is one of the most specific runtime-bug entries in the set.", "canonical_pr_reason": null, - "best_issue_reason": "Among these mostly unrelated items, 12348 is the most representative actionable bug report; the rest are either different models, different failure modes, or feature requests.", + "best_issue_reason": "Issue 12348 is the strongest standalone issue in this set because it describes an actionable pipeline failure with a clear symptom and scope. It is more representative than the vague feature requests or generic error reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3412", + "right": "issue:7556", + "accept": false, + "reason": "Both are docs-related, but one is a stable-diffusion docs update and the other is Animatediff scheduler docs; different scope and no shared bug/change." + }, { "left": "issue:5905", "right": "issue:8482", "accept": false, - "reason": "Different requests: adding diffusion-GAN vs support for Stable Diffusion 3 medium." + "reason": "Different model requests: diffusion-GAN versus Stable Diffusion 3 support. Same broad repo area, not the same underlying change." }, { "left": "issue:9378", "right": "issue:9402", "accept": false, - "reason": "Both concern Flux ControlNet, but one is about Xlabs ControlNet support and the other about adding img2img/inpaint pipelines; not the same change." + "reason": "Both involve Flux ControlNet, but one requests Xlabs ControlNet support and the other adds img2img/inpaint pipelines; separate features." }, { "left": "issue:7799", "right": "issue:9115", "accept": false, - "reason": "Different pipelines and bugs: IP-Adapter matmul mismatch in InstructPix2Pix vs AnimateDiff-Lightning/SDXL motion adapter issues." + "reason": "Different pipelines and failure modes; both are image-generation errors but not the same concrete bug." }, { "left": "issue:4031", "right": "issue:7267", "accept": false, - "reason": "Unrelated failures: local safety-checker loading vs broken local data loading in a training script." + "reason": "Unrelated loading problems: safety checker local-file loading versus train_controlnet local data loading." }, { "left": "issue:3910", "right": "issue:4697", "accept": false, - "reason": "Both are LoRA-loading complaints, but the reports point to different symptoms and likely different causes." + "reason": "Both mention LoRA loading, but the reports are too generic and likely different failure causes/regressions; not enough to treat as the same bug." }, { "left": "issue:5595", "right": "issue:6435", "accept": false, - "reason": "One is an explicit height/width validation error; the other is a default-dimension initialization bug in ControlNet." + "reason": "One is a validation error for non-divisible dimensions; the other is a ControlNet default width/height initialization problem." }, { "left": "issue:9227", "right": "issue:9309", "accept": false, - "reason": "Different Flux training/inference paths and different error modes; not the same underlying bug." + "reason": "Both are Flux-related, but one is a DreamBooth LoRA training issue and the other is a FluxControlNetPipeline runtime bug." }, { "left": "issue:2669", "right": "issue:5596", "accept": false, - "reason": "Different AttributeErrors in different code paths; no clear shared root cause." + "reason": "Different attribute errors in different preprocessing/build paths; no clear shared code-path." }, { "left": "issue:2991", "right": "issue:4037", "accept": false, - "reason": "Both involve ControlNet training, but mixed-precision validation failures and FSDP validation errors are not the same issue." + "reason": "Both are ControlNet training issues, but mixed-precision example failure and FSDP validation errors are distinct problems." }, { "left": "issue:9341", "right": "issue:9670", "accept": false, - "reason": "One is a specific Flux LoRA loading problem; the other is a missing PEFT backend requirement." + "reason": "Both concern LoRA loading, but one is about Flux LoRA key handling and the other is a missing PEFT backend requirement." }, { "left": "issue:4134", "right": "issue:7636", "accept": false, - "reason": "MPS tensor-size mismatch in ControlNet is unrelated to a question about using the SDXL tile model." + "reason": "A device-specific tensor size mismatch on MPS versus a how-to/support request for the SDXL tile ControlNet model." }, { "left": "issue:10520", "right": "issue:9045", "accept": false, - "reason": "Both mention device-related problems, but Sana 4K device mismatch and StableDiffusion3Pipeline CUDA conversion with accelerate/peft are different bugs." + "reason": "Both are device-placement issues, but they hit different models/pipelines and different code paths." }, { "left": "issue:1988", "right": "issue:6162", "accept": false, - "reason": "Different model families and error types: fp16/bf16 input/bias type mismatch vs IP-Adapter shape mismatch." + "reason": "Both are generation-time shape/type mismatches, but one is fp16/bf16 input-bias type mismatch and the other is an IP-Adapter shape mismatch." }, { "left": "issue:11185", "right": "issue:11824", "accept": false, - "reason": "Different models and failures: CogView4 image generation error vs FluxKontextPipeline multi-image input error." + "reason": "Different models and different error contexts; both are generic generation failures only at the title level." }, { "left": "issue:2596", "right": "issue:5025", "accept": false, - "reason": "Documentation typo/error vs runtime import error; unrelated fixes." + "reason": "Both are diffusers.utils import/documentation problems, but they refer to different symbols and different underlying breakages." }, { "left": "issue:3910", "right": "issue:8237", "accept": false, - "reason": "Both concern LoRA loading, but one is a generic load failure and the other is a specific missing key in an SDXL LoRA." + "reason": "Both are LoRA-loading complaints, but one is a generic load failure and the other is a missing SDXL text-projection key." }, { "left": "issue:5458", "right": "issue:7185", "accept": false, - "reason": "LoRA local-files behavior vs PyTorch version support question; unrelated." + "reason": "Local-files-only behavior in LoRA loading is unrelated to a broader PyTorch version support question." }, { "left": "issue:5862", "right": "issue:9515", "accept": false, - "reason": "Different model-internals issues: gradient checkpointing support vs missing RMSNorm in a processor implementation." + "reason": "Different Transformer internals: gradient checkpointing support versus missing RMSNorm in a specific attention processor." }, { "left": "issue:6791", "right": "issue:7114", "accept": false, - "reason": "Same script, but different failures: can't run at all vs CUDA OOM. Not the same underlying bug." + "reason": "Same training script, but one report says it can't run while the other is specifically CUDA OOM; not the same bug." }, { "left": "issue:12348", "right": "issue:12536", "accept": false, - "reason": "Both are WanImageToVideoPipeline-related, but one is a resolution-dependent tensor mismatch and the other is a sharding/mesh divisibility assertion; different root causes." + "reason": "Both are WanImageToVideoPipeline tensor-size complaints, but one is a resolution-dependent mismatch and the other is a context-parallelism mesh divisibility assertion; related theme, not clearly the same bug." }, { "left": "issue:11046", "right": "issue:8450", "accept": false, - "reason": "Different pipelines and behaviors: Flux with controlnet/inpainting/IP-Adapter vs SDXL inpainting noise at strength 1.0." + "reason": "Both involve Flux/SD-style inference, but one is a multi-feature Flux pipeline request and the other is an SDXL inpainting noise bug." }, { "left": "issue:5227", "right": "issue:7420", "accept": false, - "reason": "Related only by torch.compile mention; the concrete failure modes are different." + "reason": "Both mention torch.compile, but one is specifically load_lora_weight incompatibility and the other is a general inability to use torch.compile." }, { "left": "issue:2603", "right": "issue:2673", "accept": false, - "reason": "Different pipeline limitations/errors; no concrete shared bug path." - }, - { - "left": "issue:7229", - "right": "issue:9237", - "accept": false, - "reason": "Different training bugs in different workflows; not duplicates." + "reason": "Different pipeline issues: non-square image support versus an upscale pipeline config/image input error." } ] }, @@ -45917,7 +45804,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10575", "issue:10972", @@ -45937,12 +45824,10 @@ "issue:2841", "issue:3111", "issue:3347", - "issue:3382", "issue:3689", "issue:3724", "issue:4080", "issue:4354", - "issue:4639", "issue:4647", "issue:4667", "issue:4701", @@ -45959,15 +45844,18 @@ "issue:6731", "issue:6758", "issue:7214", + "issue:7229", "issue:7441", "issue:7592", "issue:7974", "issue:8541", "issue:8615", + "issue:9237", "issue:9454", "issue:9729" ], "soft_pairs": [ + "issue:7229|issue:9237", "issue:10575|issue:7214", "issue:10972|issue:11209", "issue:10972|issue:11224", @@ -45991,196 +45879,195 @@ "issue:4647|issue:7441", "issue:5226|issue:6758", "issue:6731|issue:9729", - "issue:8541|issue:9454", - "issue:3382|issue:4639" + "issue:8541|issue:9454" ], - "prepared_review_unit_hash": "43a97a56fd019c7dfa3402ceaffa07a051c38516584260a6771aee5f425f1192", + "prepared_review_unit_hash": "5c075ccbe10b6b4c3a5a3c0523b8f20a2423b25379637f1192185327d5f75c6a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 33543, - "estimated_input_tokens": 8386, - "estimated_eval_tokens": 17028 + "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": "Mostly unrelated issues with one defensible duplicate pair: the LoRA unload/remove requests (3689\u21945170). The similarly titled LoRA loading reports (10972\u219411209 and 10972\u219411224) are not close enough to merge and should stay separate.", - "confidence": 0.89, - "canonical_issue_reason": "issue:3689 is the clearest representative because it states the concrete unload/remove request directly; issue:5170 is the shorter paraphrase of the same need.", + "summary": "This set is mostly heterogeneous issues with only a couple of likely duplicate subclusters. The clearest matches are the LoRA-loading reports and the LoRA-removal reports; most other soft edges are only broad subsystem similarity and should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:10972 is the strongest issue canonical in this set because it is the most specific LoRA-loading failure and has two near-identical follow-up reports (11209, 11224) pointing to the same problem class.", "canonical_pr_reason": null, - "best_issue_reason": "issue:3689 is the best overall issue candidate because it is specific, reusable, and the most clearly documented instance of the only true duplicate-like pair in this set.", + "best_issue_reason": "issue:10972 is the best representative issue overall: concrete bug title, clear failure mode, and it anchors the only strong duplicate-like pairings in the set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7229", + "right": "issue:9237", + "accept": false, + "reason": "Both mention training issues, but they concern different workflows and failure modes; not the same underlying bug." + }, { "left": "issue:10575", "right": "issue:7214", "accept": false, - "reason": "Both involve DPMSolverMultistepScheduler, but the failures are different and not clearly the same bug." + "reason": "Same scheduler family, but one is an IndexError and the other is a karras_sigmas regression; too different to merge." }, { "left": "issue:10972", "right": "issue:11209", - "accept": false, - "reason": "Both are LoRA-loading reports, but the concrete contexts differ: OneTrainer Flux LoRAs versus a generic loading error." + "accept": true, + "reason": "Both are LoRA loading failures; 11209 looks like a generic report of the same underlying loading bug seen in 10972." }, { "left": "issue:10972", "right": "issue:11224", - "accept": false, - "reason": "Same broad LoRA-loading area, but the reports do not show the same underlying code-path failure." + "accept": true, + "reason": "Same LoRA-loading failure class as 10972, with 11224 appearing to be another report of the same bug." }, { "left": "issue:2185", "right": "issue:3347", "accept": false, - "reason": "Training config omissions and NaN image output are unrelated problems." + "reason": "Training config files missing vs NaN image output are unrelated issues." }, { "left": "issue:2645", "right": "issue:4701", "accept": false, - "reason": "Both mention CUDA, but they concern different models and distinct failure modes." + "reason": "Both are CUDA-related errors, but they occur in different code paths and are not the same bug." }, { "left": "issue:2841", "right": "issue:3724", "accept": false, - "reason": "These are unrelated feature requests in the same general domain." + "reason": "One is a scheduler feature request and the other is a watermarking feature idea; unrelated." }, { "left": "issue:12319", "right": "issue:12673", "accept": false, - "reason": "Both touch group offloading, but the triggers and affected code paths differ." + "reason": "Both involve group offloading, but the reported problems are different enough that they do not look like the same bug." }, { "left": "issue:4837", "right": "issue:6713", "accept": false, - "reason": "Both are converter-script failures, but the concrete error conditions are different." + "reason": "Both mention the same conversion script, but the failures differ (SDXL conversion vs HeaderTooLarge)." }, { "left": "issue:6415", "right": "issue:7974", "accept": false, - "reason": "Both involve FaceID/IP-Adapter and inpainting, but they are not the same bug report." + "reason": "Different IP-Adapter requests/bugs; not the same concrete issue." }, { "left": "issue:12329", "right": "issue:12565", "accept": false, - "reason": "A model-version misclassification and a generic Wan2.1 I2V runtime issue are not the same problem." + "reason": "Same Wan image-to-video area, but one is a model-loading/version mismatch and the other is a running issue; not clearly duplicate." }, { "left": "issue:5226", "right": "issue:7592", "accept": false, - "reason": "One is about load_lora_weights on a pipeline; the other is a DoRA state_dict loading problem." + "reason": "Both are LoRA/adapter loading problems, but they concern different mechanisms (load_lora_weights vs DoRA state_dict keys)." }, { "left": "issue:5647", "right": "issue:6610", "accept": false, - "reason": "Different SDXL inpaint issues with different symptoms and triggers." + "reason": "Both hit SDXL inpaint pipeline paths, but the symptoms and triggers differ." }, { "left": "issue:11103", "right": "issue:1647", "accept": false, - "reason": "Unrelated questions." + "reason": "A repo-selection question and a color-correction question are unrelated." }, { "left": "issue:1304", "right": "issue:5337", "accept": false, - "reason": "A training question and a callback documentation question are unrelated." + "reason": "Training guidance vs callback semantics; no shared bug/change." }, { "left": "issue:2210", "right": "issue:3111", "accept": false, - "reason": "Both are about model conditioning/training flexibility, but they request different capabilities." + "reason": "Both are about conditioning/encoder ideas, but they are different feature requests." }, { "left": "issue:2645", "right": "issue:5593", "accept": false, - "reason": "Both touch ControlNet-adjacent pipelines, but the concrete failure modes differ." + "reason": "ControlNet CUDA failure vs AutoPipeline ControlNet wrapping failure; different issues." }, { "left": "issue:2689", "right": "issue:5387", "accept": false, - "reason": "A broken image link and a broken documentation link are not the same issue." + "reason": "Both are broken-link reports, but they point to different links/doc pages." }, { "left": "issue:3689", "right": "issue:5170", "accept": true, - "reason": "Both ask for removing or unloading LoRA after load_lora_weights, so they describe the same underlying request." + "reason": "These describe the same underlying need to remove/unload LoRA weights after loading them." }, { "left": "issue:4080", "right": "issue:8615", "accept": false, - "reason": "Both are pipeline-related feature requests, but they are distinct additions." + "reason": "Different feature requests in different model families; not duplicates." }, { "left": "issue:4354", "right": "issue:4667", "accept": false, - "reason": "Both mention from_single_file, but they affect different pipeline classes and failure conditions." + "reason": "Both involve from_single_file, but the pipeline class and failure mode differ." }, { "left": "issue:4647", "right": "issue:7441", "accept": false, - "reason": "A mid_block config bug and a Python 3.12 pytest failure are unrelated." + "reason": "Model architecture bug vs test/runtime compatibility issue; unrelated." }, { "left": "issue:5226", "right": "issue:6758", "accept": false, - "reason": "Both are SDXL-related, but one is a LoRA-loading bug and the other is a support gap for a different parameter." + "reason": "One is a LoRA loading bug and the other is a missing parameter support issue; not the same bug." }, { "left": "issue:6731", "right": "issue:9729", "accept": false, - "reason": "Different pipeline-class handling problems with different model families and symptoms." + "reason": "Unhandled pipeline class vs unexpected saved model type in Flux training; unrelated." }, { "left": "issue:8541", "right": "issue:9454", "accept": false, - "reason": "Both are repository-not-found errors, but for different models and URLs." - }, - { - "left": "issue:3382", - "right": "issue:4639", - "accept": false, - "reason": "A multi-GPU OOM in training and a multiprocessing data-loader error are different issues." + "reason": "Both are model-not-found errors, but they refer to different models and repos." } ] }, "evaluator_result": { - "accept": false, - "feedback": "The analysis is mostly conservative, but the summary overstates one linkage: it says it would merge the \"pair of same-titled LoRA loading errors,\" yet both 10972\u219411209 and 10972\u219411224 are explicitly rejected in the soft-edge verdicts. That makes the summary internally inconsistent and less grounded than required. The LoRA unload/remove pair (3689\u21945170) looks defensible, but the broader merge claim should be removed or softened." + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The accepted soft edges are defensible from the titles alone, especially the identical LoRA-loading reports and the unload/remove LoRA pair. The rejected edges are generally conservative and do not overclaim duplicates. No mergeability issues apply here because this is issue clustering rather than a PR pair." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -46196,7 +46083,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10198", "issue:10472", @@ -46211,7 +46098,6 @@ "issue:13079", "issue:13107", "issue:13300", - "issue:1388", "issue:1692", "issue:1717", "issue:1976", @@ -46219,11 +46105,12 @@ "issue:2234", "issue:2244", "issue:3250", + "issue:3382", "issue:3468", "issue:4185", "issue:4340", - "issue:4366", "issue:4398", + "issue:4639", "issue:4702", "issue:5442", "issue:5919", @@ -46248,6 +46135,7 @@ "issue:9857" ], "soft_pairs": [ + "issue:3382|issue:4639", "issue:4185|issue:6949", "issue:11584|issue:7985", "issue:1692|issue:5919", @@ -46270,181 +46158,180 @@ "issue:1717|issue:954", "issue:11436|issue:11824", "issue:6258|issue:8922", - "issue:3250|issue:6335", - "issue:1388|issue:4366" + "issue:3250|issue:6335" ], - "prepared_review_unit_hash": "2a9c66bfb3f04e866f813f9c269e86c19835ce7b51f2ac93cd64222defb13c26", + "prepared_review_unit_hash": "53b004aa764076ea5fb0e5a6f3149fed800b5356128772bef7f0a9b890f3fe10", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34383, - "estimated_input_tokens": 8596, - "estimated_eval_tokens": 17448 + "serialized_chars": 34451, + "estimated_input_tokens": 8613, + "estimated_eval_tokens": 17482 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous rather than duplicate-heavy: it mixes unrelated model-specific bugs, compile/offload issues, feature requests, and training/inference regressions. None of the soft pairs appear to be the same underlying issue closely enough to merge.", - "confidence": 0.18, + "summary": "This cluster is heterogeneous: it mixes unrelated issues across training, inference, LoRA, torch.compile, model-loading, and feature requests. None of the soft edges look like true duplicates.", + "confidence": 0.98, "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "No strong canonical issue exists in this mixed cluster; if one must be chosen, #13300 is the broadest open bug report with a detailed repro and clearer generality than the others.", + "best_issue_reason": "No single issue is a good canonical representative because the items do not share one underlying bug or change request. They span many distinct models, code paths, and symptoms.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3382", + "right": "issue:4639", + "accept": false, + "reason": "Different failures: multi-GPU text-to-image OOM vs multiprocessing data-loader error in a different script." + }, { "left": "issue:4185", "right": "issue:6949", "accept": false, - "reason": "Both mention bad image outputs, but one is SDXL ControlNet black images and the other is DPMSolverSinglestepScheduler blank images at even steps; different code paths and failure modes." + "reason": "Both are image-quality problems, but one is SDXL ControlNet black images and the other is DPMSolver even-step blank outputs; different code paths and symptoms." }, { "left": "issue:11584", "right": "issue:7985", "accept": false, - "reason": "Both involve torch.compile, but one is group offloading on hunyuanvideo_frampack and the other is IP-Adapter incompatibility; not the same concrete bug." + "reason": "Different torch.compile incompatibilities in different pipelines/models; not the same underlying bug." }, { "left": "issue:1692", "right": "issue:5919", "accept": false, - "reason": "Both are AttributeErrors, but one is a multiprocessing/pickle lambda issue and the other is a missing set_lora_layer method on Linear; unrelated causes." + "reason": "Pickling a lambda and missing set_lora_layer on Linear are unrelated errors." }, { "left": "issue:5442", "right": "issue:6407", "accept": false, - "reason": "ScaleCrafter pipeline support and AnyText model addition are different feature requests with no shared bug/change." + "reason": "One is a pipeline implementation request, the other is a request for a different model; not duplicates." }, { "left": "issue:6914", "right": "issue:8626", "accept": false, - "reason": "One is an offload/IP-Adapter FaceID shape error, the other is documentation guidance for multiple IP-Adapter images/masks; not the same problem." + "reason": "One is an offload/runtime AttributeError in IP-Adapter-FaceID, the other is documentation/guidance for multiple IP-Adapter inputs." }, { "left": "issue:10795", "right": "issue:11864", "accept": false, - "reason": "Both hit compile-related failures, but one is GGUF from_single_file loading and the other is AutoencoderDC.encode under fullgraph compile; different paths." + "reason": "GGUF from_single_file torch.compile failure vs AutoencoderDC fullgraph name resolution error; unrelated code paths." }, { "left": "issue:13300", "right": "issue:7355", "accept": false, - "reason": "CPU generation failures vs arbitrary-resolution/bfloat16 Stable Cascade errors; different models and distinct dtype/resolution issues." + "reason": "Different models and failures: CPU generation errors on SD3.5/FLUX vs Stable Cascade bfloat16 arbitrary-resolution issue." }, { "left": "issue:12104", "right": "issue:9112", "accept": false, - "reason": "IndexError from empty dimension and a tensor size mismatch in Auraflow are different runtime bugs." + "reason": "Index out of bounds and tensor-size mismatch are different runtime bugs." }, { "left": "issue:13079", "right": "issue:13107", "accept": false, - "reason": "One is CUDA OOM in a FLUX.2-klein loop, the other is Flux Klein LoRA missing-key loading errors; not the same defect." + "reason": "CUDA OOM in a loop and LoRA missing-key loading errors are unrelated." }, { "left": "issue:10198", "right": "issue:10540", "accept": false, - "reason": "Both are FLUX loading-related, but one is a weight mismatch and the other is from_single_file failure after Flux Fill support; too different to merge." + "reason": "Flux weight mismatch and Flux Dev from_single_file loading failure are different symptoms and likely different root causes." }, { "left": "issue:7793", "right": "issue:8532", "accept": false, - "reason": "Unload-error vs memory growth while loading LoRA weights are related broadly, but they are not the same concrete bug or fix path." + "reason": "Both involve LoRA weights, but unloading errors and progressive memory growth are different problems; too broad to merge." }, { "left": "issue:1976", "right": "issue:2234", "accept": false, - "reason": "Incorrect tokenizer file lookup and xformers finetuning failure are unrelated issues." + "reason": "Incorrect tokenizer file lookup and xformers finetuning failure are unrelated." }, { "left": "issue:2163", "right": "issue:7330", "accept": false, - "reason": "Both occur in training, but one is a UNet dtype mismatch and the other is FP16 gradient unscale failure; different root causes." + "reason": "Training dtype mismatch and FP16 unscale error are different failures in different parts of the training loop." }, { "left": "issue:2244", "right": "issue:3468", "accept": false, - "reason": "Dreambooth half-precision CPU inference error and missing model_index.json are separate failures in different stages." + "reason": "Dreambooth CPU half-precision runtime error vs missing model_index.json are unrelated." }, { "left": "issue:11978", "right": "issue:9744", "accept": false, - "reason": "These are separate model-addition feature requests for Bria 3.2 and Mochi; same category, not same change." + "reason": "Both are feature requests, but for different models and different additions." }, { "left": "issue:4702", "right": "issue:8887", "accept": false, - "reason": "A VQ-VAE example request and an SD3 VAE encode bug are not the same issue." + "reason": "VQ-VAE example request and SD3 VAE encode bug are not the same change." }, { "left": "issue:9523", "right": "issue:9857", "accept": false, - "reason": "Generic controlnet training error mapping and a specific FLUX controlnet embedding size mismatch are related only at a high level, not as one bug." + "reason": "Broad controlnet training error-mapping issue vs a specific FLUX controlnet embedding-size mismatch; not a duplicate." }, { "left": "issue:10472", "right": "issue:9069", "accept": false, - "reason": "Unexpected lora_bias kwarg and np.ndarray type mismatch are unrelated errors." + "reason": "Unexpected lora_bias keyword and np.ndarray type mismatch are unrelated errors." }, { "left": "issue:4340", "right": "issue:4398", "accept": false, - "reason": "Both touch SDXL LoRA training, but one is train_text_encoder errors and the other is black-image output in a different pipeline." + "reason": "SDXL LoRA training error with text encoder and black-image dreambooth inference are different bugs." }, { "left": "issue:1717", "right": "issue:954", "accept": false, - "reason": "Offline cached model loading and post-login loading failure are different hub/auth/cache problems." + "reason": "Offline cached-model loading and post-login loading failure are different authentication/cache problems." }, { "left": "issue:11436", "right": "issue:11824", "accept": false, - "reason": "Hidream dtype mismatch and FluxKontext multi-image inference error are unrelated model/runtime failures." + "reason": "Hidream dtype mismatch vs FluxKontext multi-image input error are unrelated model-specific bugs." }, { "left": "issue:6258", "right": "issue:8922", "accept": false, - "reason": "Both mention bad outputs, but one is forward-chunking image quality degradation and the other is quantized SD3 single-file returning black images; different causes." + "reason": "Forward-chunking quality degradation and quantized-T5 zero-output are different issues." }, { "left": "issue:3250", "right": "issue:6335", "accept": false, - "reason": "Can't run StableDiffusionKDiffusionPipeline and ControlNetImg2Img size control are unrelated pipeline issues." - }, - { - "left": "issue:1388", - "right": "issue:4366", - "accept": false, - "reason": "A conversion-script adaptation request for SD 2.0 and an SDXL full U-Net fine-tuning issue are not the same underlying change." + "reason": "StableDiffusionKDiffusionPipeline runtime failure and ControlNet output-size control bug are unrelated." } ] }, @@ -46466,7 +46353,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10804", "issue:1092", @@ -46475,6 +46362,7 @@ "issue:11819", "issue:12120", "issue:12195", + "issue:1388", "issue:1717", "issue:222", "issue:2324", @@ -46490,6 +46378,7 @@ "issue:4194", "issue:4332", "issue:4340", + "issue:4366", "issue:4520", "issue:4727", "issue:5226", @@ -46503,12 +46392,10 @@ "issue:6203", "issue:6839", "issue:7041", - "issue:7223", "issue:7377", "issue:7644", "issue:7681", "issue:817", - "issue:8309", "issue:8567", "issue:8668", "issue:8708", @@ -46517,6 +46404,7 @@ "issue:9270" ], "soft_pairs": [ + "issue:1388|issue:4366", "issue:2822|issue:6093", "issue:5488|issue:8668", "issue:5226|issue:5862", @@ -46539,190 +46427,186 @@ "issue:10954|issue:11464", "issue:4183|issue:7377", "issue:11819|issue:12120", - "issue:222|issue:4117", - "issue:7223|issue:8309" + "issue:222|issue:4117" ], - "prepared_review_unit_hash": "9a1f5fd73c6deb610809ea87217e8ca772649a49f42414b93bf952fd19bde8d0", + "prepared_review_unit_hash": "16f6dba662713b03d61034b9a7b8f9ed2c9871c8af168628a8e9677425a92a78", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33450, - "estimated_input_tokens": 8363, - "estimated_eval_tokens": 16982 + "serialized_chars": 33472, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly conservative clustering: the items are a mix of unrelated pipeline, training, and model-loading issues. The FLUX LoRA pair (10954/11464) looks related by topic, but with only titles/body metadata there isn\u2019t enough evidence to confidently call them the same bug, so I\u2019d keep them separate.", - "confidence": 0.68, - "canonical_issue_reason": "Issue 10804 is the broadest and most general FLUX1.dev/comfy-ui LoRA load-failure report, so it is the best canonical anchor for that small family of similar reports.", + "summary": "No PRs are present. Most soft pairs are clearly unrelated by title; the only mild theme overlap is among FLUX/LoRA reports, but they describe different pipelines, model variants, or training vs loading problems, so they should stay separate.", + "confidence": 0.76, + "canonical_issue_reason": "issue:10954 is the most general and current report of the FLUX1.dev LoRA loading failure, so it is the best umbrella duplicate target among the FLUX-related issues.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10804 is the clearest representative of the recurring FLUX LoRA loading problem and has the broadest, least specific wording for deduplication.", + "best_issue_reason": "Open, generic, and directly about the core symptom (FLUX1.dev LoRA fails to load), which makes it the best issue to anchor related follow-ups.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1388", + "right": "issue:4366", + "accept": false, + "reason": "Different topics: SD 2.0 conversion script vs SD-XL full U-Net fine-tuning." + }, { "left": "issue:2822", "right": "issue:6093", "accept": false, - "reason": "ControlNet training convergence vs push_to_hub repo-creation behavior; different subsystems and failure modes." + "reason": "Training convergence complaint vs push_to_hub behavior; not the same bug." }, { "left": "issue:5488", "right": "issue:8668", "accept": false, - "reason": "Demo code failure vs SD3 img2img alignment bug; not the same underlying issue." + "reason": "Demo image-generation failure is unrelated to SD3 img2img input-size alignment." }, { "left": "issue:5226", "right": "issue:5862", "accept": false, - "reason": "load_lora_weights on a pipeline vs gradient checkpointing support in Transformer2DModel; unrelated defects." + "reason": "LoRA loading in SDXL adapter pipeline vs gradient checkpointing support in Transformer2DModel." }, { "left": "issue:10804", "right": "issue:9270", "accept": false, - "reason": "Both involve FLUX LoRA, but one is a load failure and the other is a training-support complaint; too little evidence they are the same concrete bug." + "reason": "Both mention FLUX LoRA, but one is a load failure and the other is incomplete training-support for SimpleTuner." }, { "left": "issue:1092", "right": "issue:4520", "accept": false, - "reason": "Attention slicing is a shared term, but one is about Euler behavior and the other is LoRA scale handling; different problems." + "reason": "Euler/attention slicing issue is not the same as LoRA scale with attention slicing." }, { "left": "issue:3112", "right": "issue:5474", "accept": false, - "reason": "Multi-ControlNet inpainting vs a reference-only pipeline proposal; separate feature areas." + "reason": "Multi-ControlNet inpainting vs a new reference-only pipeline proposal; different changes." }, { "left": "issue:3824", "right": "issue:6203", "accept": false, - "reason": "Legacy inpaint pipeline question vs SDXL controlnet image-size question; no shared bug path." + "reason": "Legacy-vs-new inpaint pipeline question is unrelated to SDXL ControlNet image-size conditioning." }, { "left": "issue:3937", "right": "issue:4194", "accept": false, - "reason": "ZeroscopeXL model behavior vs VAE loading with from_single_file; different pipeline/model issues." + "reason": "ZeroscopeXL pipeline behavior vs from_single_file VAE loading; different failures." }, { "left": "issue:4332", "right": "issue:7644", "accept": false, - "reason": "xformers on Kandinsky2.2 vs Stable Cascade non-power-of-two image failure; unrelated." + "reason": "xformers on Kandinsky2.2 vs Stable Cascade non-power-of-two image handling." }, { "left": "issue:4727", "right": "issue:5545", "accept": false, - "reason": "local_files_only auto-pipeline behavior vs a StableDiffusionInpaintPipeline issue; not the same defect." + "reason": "local_files_only auto-pipeline breakage is unrelated to an inpaint pipeline problem." }, { "left": "issue:5647", "right": "issue:7041", "accept": false, - "reason": "SDXL inpaint strength==1 bug vs segmentation fault at num_inference_steps>1; distinct code paths." + "reason": "Different failure modes and conditions in different pipelines; not the same underlying bug." }, { "left": "issue:4340", "right": "issue:5897", "accept": false, - "reason": "Both are LoRA training errors, but the concrete failures differ: train_text_encoder behavior vs device-placement mismatch." + "reason": "Both are LoRA training errors, but they involve different scripts and different concrete failures." }, { "left": "issue:6839", "right": "issue:8900", "accept": false, - "reason": "Both are from_single_file loading questions, but for different models/pipelines and different failure modes." + "reason": "Both use from_single_file, but one is Stable Video Diffusion and the other is SDXL refiner; distinct loading paths." }, { "left": "issue:1717", "right": "issue:3623", "accept": false, - "reason": "Offline cached-model loading vs inability to load larger models; not the same underlying issue." + "reason": "Offline cached-model loading is unrelated to generic large-model loading issues." }, { "left": "issue:3468", "right": "issue:4117", "accept": false, - "reason": "Missing model_index.json generation vs SDXL Dreambooth not working; different bugs." + "reason": "Missing model_index.json is different from SDXL Dreambooth not working." }, { "left": "issue:2324", "right": "issue:817", "accept": false, - "reason": "Instance-data reading bug vs mixed-precision issue in Dreambooth; unrelated." + "reason": "Instance-data loading bug vs mixed-precision issue in Dreambooth; unrelated." }, { "left": "issue:12195", "right": "issue:7681", "accept": false, - "reason": "Torch custom_op regression vs OpenSSL/lib import failure; completely different causes." + "reason": "PyTorch custom_op incompatibility is unrelated to a lib/X509 import error." }, { "left": "issue:2947", "right": "issue:9142", "accept": false, - "reason": "Missing load_attn_procs on UNet vs multiple-controlnet support in Hunyuan DiT; different functionality." + "reason": "Missing load_attn_procs on UNet and multi-ControlNet __module__ error are different code paths." }, { "left": "issue:8567", "right": "issue:8708", "accept": false, - "reason": "SD3 training objective question vs missing shift_factor in Dreambooth examples; not the same bug." + "reason": "Training objective question for SD3 is not the same as a missing shift_factor in examples." }, { "left": "issue:10954", "right": "issue:11464", "accept": false, - "reason": "Both mention FLUX LoRA loading, but the available metadata only supports a shared bug family, not enough evidence that they are the same concrete failure." + "reason": "Both are FLUX LoRA loading reports, but they target different model variants/pipelines and don't clearly share one concrete defect." }, { "left": "issue:4183", "right": "issue:7377", "accept": false, - "reason": "ControlNet guidance_scale bug vs StableCascadeDecoderPipeline num_images_per_prompt error; different failures." + "reason": "ControlNet guidance-scale bug is unrelated to Stable Cascade num_images_per_prompt handling." }, { "left": "issue:11819", "right": "issue:12120", "accept": false, - "reason": "Kontext LoRA training script request vs a general question about training LoRA on flux-schnell; not duplicates." + "reason": "Different FLUX LoRA-training questions: image-editing Kontext vs distilled flux-schnell." }, { "left": "issue:222", "right": "issue:4117", "accept": false, - "reason": "Generic training RuntimeError vs SDXL Dreambooth issue; too broad to be the same bug." - }, - { - "left": "issue:7223", - "right": "issue:8309", - "accept": false, - "reason": "Latte video-generation feature request vs conditional diffusion distillation proposal; separate enhancements." + "reason": "Generic training runtime error is not the same as SDXL Dreambooth failure." } ] }, - "evaluator_result": { - "accept": false, - "feedback": "The overall clustering is mostly cautious, but the single accepted soft-edge pair is a bit overstated for the packet: 10954 and 11464 both mention FLUX LoRA loading, but the packet only gives titles/body lengths, so the claim that they fail in the same FluxControlPipeline path is not grounded. I\u2019d want a more conservative justification (shared FLUX LoRA load failure, maybe same bug family) before accepting. The rest of the rejects look suitably conservative." - }, - "evaluator_used": true, - "retried": true, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null @@ -46738,7 +46622,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10210", "issue:10518", @@ -46761,13 +46645,11 @@ "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", @@ -46777,12 +46659,14 @@ "issue:6382", "issue:6518", "issue:6548", + "issue:7223", "issue:730", "issue:7589", "issue:760", "issue:7644", "issue:8228", "issue:8305", + "issue:8309", "issue:8588", "issue:8950", "issue:9142", @@ -46790,6 +46674,7 @@ "issue:9673" ], "soft_pairs": [ + "issue:7223|issue:8309", "issue:5577|issue:8228", "issue:5226|issue:6110", "issue:10210|issue:6548", @@ -46812,181 +46697,180 @@ "issue:1985|issue:2462", "issue:2806|issue:730", "issue:2904|issue:9142", - "issue:3040|issue:6324", - "issue:3799|issue:4726" + "issue:3040|issue:6324" ], - "prepared_review_unit_hash": "e602910496bf47fff96d40ba0ef5858cd72e2db8cec81f956ac487e8899c462d", + "prepared_review_unit_hash": "9623ca72643682c7c86154ce99cf572f0bb769191964d1c7a06ec6da4047aff3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34555, - "estimated_input_tokens": 8639, - "estimated_eval_tokens": 17534 + "serialized_chars": 34515, + "estimated_input_tokens": 8629, + "estimated_eval_tokens": 17514 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a false-positive text-similarity grouping: the issues span unrelated pipelines, training scripts, and environment-specific failures. None of the soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", - "confidence": 0.42, - "canonical_issue_reason": "If forced to pick a single representative issue, #10210 is the cleanest and most concrete standalone bug report: a specific pipeline (FluxImg2ImgPipeline) with a clearly stated, user-visible symptom.", + "summary": "This set is highly heterogeneous: it mixes unrelated issues about img2img behavior, DreamBooth/LoRA training, model loading, scheduler math, MPS/flash-attn compatibility, and feature requests. None of the soft edges looks like the same underlying bug or change, so all are false positives.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the items span many unrelated bugs/features and do not form a single duplicate cluster.", "canonical_pr_reason": null, - "best_issue_reason": "#10210 is the best overall issue to anchor the cluster because it is specific, easy to understand, and describes a concrete runtime behavior rather than a vague feature request or script complaint.", + "best_issue_reason": "No single issue is a good global representative for deduping because there is no coherent shared problem across the set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7223", + "right": "issue:8309", + "accept": false, + "reason": "One is a video-generation model integration request; the other is a diffusion distillation feature request." + }, { "left": "issue:5577", "right": "issue:8228", "accept": false, - "reason": "Both mention single-file loading/weight keys, but one is a specific ControlNet key error and the other is a CLIPTextModel loading regression; different failure modes." + "reason": "Both involve `from_single_file`, but one is a ControlNet key error and the other is a CLIPTextModel loading failure." }, { "left": "issue:5226", "right": "issue:6110", "accept": false, - "reason": "Both involve LoRA loading, but one is an SDXL AdapterPipeline integration issue and the other is offline loading behavior; not the same bug." + "reason": "Both mention `load_lora_weights`, but one is an SDXL adapter compatibility bug and the other is an offline-loading problem." }, { "left": "issue:10210", "right": "issue:6548", "accept": false, - "reason": "Both are img2img-related, but one reports near-identity outputs in FluxImg2ImgPipeline while the other is an RGBA image being misdetected as latents." + "reason": "Both are img2img-related, but one reports near-identity output in Flux and the other is an RGBA latent-handling bug in SD/SDXL." }, { "left": "issue:3175", "right": "issue:3774", "accept": false, - "reason": "Both are training-related, but one is multi-face DreamBooth usage and the other is a ZeRO-3 memory-saving problem; unrelated causes." + "reason": "Different training problems: multi-face DreamBooth behavior vs. Zero3 memory savings not appearing." }, { "left": "issue:10722", "right": "issue:7644", "accept": false, - "reason": "Both are shape/size-related in training, but the tensor mismatch during DreamBooth prior preservation is not the same as Stable Cascade failing on non-power-of-2 images." + "reason": "A tensor-shape mismatch during DreamBooth training is not the same as Stable Cascade failing on non-power-of-two images." }, { "left": "issue:4566", "right": "issue:8950", "accept": false, - "reason": "Both mention LoRA training, but one is checkpoint resume failure and the other is a generic SD3 LoRA training bug; no clear shared code-path." + "reason": "Both are LoRA training issues, but one is checkpoint resume and the other is an SD3 training bug." }, { "left": "issue:6107", "right": "issue:6382", "accept": false, - "reason": "Both involve IP-Adapter, but one is an app/environment-specific EC2 failure and the other is an IP-Adapter key error after LCM LoRA training; different issues." + "reason": "Both mention IP-Adapter, but one is an environment-specific app load failure and the other is a training-to-inference key mismatch." }, { "left": "issue:10518", "right": "issue:8588", "accept": false, - "reason": "One is a problem in an SD3 LoRA Colab training script; the other is a missing conversion script file. They do not describe the same defect." + "reason": "One reports a problem in a training script; the other says a conversion script is missing entirely." }, { "left": "issue:11489", "right": "issue:9156", "accept": false, - "reason": "Both concern Flux LoRA training, but one is an error running the advanced training script and the other is CUDA OOM; not the same underlying bug." + "reason": "A generic Flux LoRA training error is not the same as a Flux LoRA CUDA OOM." }, { "left": "issue:2244", "right": "issue:2844", "accept": false, - "reason": "Both are runtime errors around pipeline inputs, but one is a Half/norma_cpu DreamBooth inference failure and the other is a prompt/image-embedding API misuse error." + "reason": "Different pipelines and different failures: DreamBooth Half-precision CPU norm vs. explicit image-embedding handling in UnCLIP." }, { "left": "issue:4306", "right": "issue:8305", "accept": false, - "reason": "Both are errors, but one is a list-index failure in StableDiffusionReferencePipeline and the other is an eta-range issue in TCDScheduler; unrelated." + "reason": "A StableDiffusionReferencePipeline index error is unrelated to a scheduler `eta` range issue." }, { "left": "issue:5862", "right": "issue:7589", "accept": false, - "reason": "Gradient checkpointing support and GLIGEN not working are different feature/broken-path reports, not the same bug." + "reason": "Gradient-checkpointing support in Transformer2DModel is not the same as GLIGEN not working." }, { "left": "issue:3802", "right": "issue:3954", "accept": false, - "reason": "Both are training-example issues, but one is about checkpoints_total_limit and the other about scheduler step counting; separate code paths." + "reason": "One is about checkpoint limiting; the other is about incorrect LR scheduler step counts in multi-GPU examples." }, { "left": "issue:11182", "right": "issue:9673", "accept": false, - "reason": "Both are loading/performance complaints, but unnecessary BF16 variant download and high CPU when loading multiple LoRAs are different behaviors." + "reason": "An unnecessary BF16 download is unrelated to high CPU usage when loading multiple LoRAs." }, { "left": "issue:10967", "right": "issue:11256", "accept": false, - "reason": "These are distinct feature requests for different papers/models (LaVie/Cinemo vs ReNeg), not duplicates." + "reason": "These are separate feature requests for different models/methods, not the same integration." }, { "left": "issue:12022", "right": "issue:12535", "accept": false, - "reason": "One is a flash-attention API compatibility bug; the other is a Wan2.2 Lightning LoRA loading issue. Different subsystems and symptoms." + "reason": "Flash-attn interface incompatibility is unrelated to Wan2.2 Lightning LoRA loading." }, { "left": "issue:2392", "right": "issue:6518", "accept": false, - "reason": "An img2img prompt_embeds validation error and a NoneType floor-division error in LCM distillation are unrelated." + "reason": "An img2img prompt_embeds validation error is unrelated to a `NoneType // int` training crash." }, { "left": "issue:4480", "right": "issue:760", "accept": false, - "reason": "Both involve MPS and StableDiffusionPipeline, but one is a kernel crash with float16 and the other is unexpected output on an older version; not the same concrete bug." + "reason": "Both are MPS-related, but one is a kernel crash with float16 and the other is incorrect output in an older version." }, { "left": "issue:1807", "right": "issue:2296", "accept": false, - "reason": "Inference slowing down over generations is a performance regression; xformers not working on T4 is an acceleration/back-end compatibility issue." + "reason": "Inference slowdown over time is not the same issue as xformers attention failing on T4." }, { "left": "issue:1985", "right": "issue:2462", "accept": false, - "reason": "Loading embeddings on Stable Diffusion Pipeline and IterableDataset support for finetuning are unrelated requests." + "reason": "Loading embeddings and IterableDataset finetuning are different feature requests." }, { "left": "issue:2806", "right": "issue:730", "accept": false, - "reason": "Pipeline printing/custom components and DreamBooth learning locally vs Colab describe different areas and failure modes." + "reason": "A pipeline-printing customization bug is unrelated to DreamBooth learning differently locally vs Colab." }, { "left": "issue:2904", "right": "issue:9142", "accept": false, - "reason": "AudioLDM scheduler NoneType errors and Hunyuan DiT multiple-ControlNet loading errors are unrelated pipeline failures." + "reason": "AudioLDM scheduler initialization failure and Hunyuan Dit multi-ControlNet loading are different code paths." }, { "left": "issue:3040", "right": "issue:6324", "accept": false, - "reason": "Both mention '__module__' attribute errors, but they stem from different argument types and contexts; not the same underlying bug." - }, - { - "left": "issue:3799", - "right": "issue:4726", - "accept": false, - "reason": "These are separate typing issues in different APIs: scheduler.from_pretrained return typing vs callback annotation in __call__." + "reason": "Both mention `__module__`, but the failures come from different bad input types and different contexts." } ] }, @@ -47008,7 +46892,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10040", "issue:10180", @@ -47027,12 +46911,14 @@ "issue:2786", "issue:3645", "issue:3660", + "issue:3799", "issue:4206", "issue:4229", "issue:4488", "issue:4639", "issue:4667", "issue:4724", + "issue:4726", "issue:4868", "issue:4892", "issue:4935", @@ -47053,13 +46939,12 @@ "issue:7392", "issue:7466", "issue:7785", - "issue:8543", - "issue:8726", "issue:9187", "issue:9267", "issue:9421" ], "soft_pairs": [ + "issue:3799|issue:4726", "issue:4488|issue:4667", "issue:5840|issue:6894", "issue:7303|issue:7392", @@ -47082,181 +46967,180 @@ "issue:1264|issue:3645", "issue:3660|issue:4724", "issue:5150|issue:5862", - "issue:6196|issue:6602", - "issue:8543|issue:8726" + "issue:6196|issue:6602" ], - "prepared_review_unit_hash": "ce82e791f51c90d269e79ef717bb9d2ca2c8221af8b72ef74f9b5b5e370044b1", + "prepared_review_unit_hash": "6f85aad33b48bd49fae1750d45fb681163addeb8237a485a32de106162fed483", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33968, - "estimated_input_tokens": 8492, - "estimated_eval_tokens": 17240 + "serialized_chars": 33994, + "estimated_input_tokens": 8499, + "estimated_eval_tokens": 17254 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is heterogeneous: model loading, LoRA, ControlNet, scheduler, training, and video/model-specific bugs are mixed together. None of the soft pairs look like true duplicates of the same underlying issue.", - "confidence": 0.94, - "canonical_issue_reason": null, + "summary": "This cluster is a weakly related grab-bag of mostly unrelated diffusers issues across loading, training, scheduler, ControlNet, LoRA, and pipeline support. None of the proposed soft pairs look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue cleanly represents the cluster: the items cover many different code paths and features, so any one issue would be a misleading canonical.", "canonical_pr_reason": null, - "best_issue_reason": "No single issue is a clear canonical duplicate target; if a representative anchor is needed, issue:6894 is the most substantive and well-discussed bug report in the set.", + "best_issue_reason": "There is no strong global best issue here; the cluster is not cohesive enough for one issue to serve as a reliable representative.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3799", + "right": "issue:4726", + "accept": false, + "reason": "Different problems: scheduler type inference vs a callback typing issue in a pipeline call signature." + }, { "left": "issue:4488", "right": "issue:4667", "accept": false, - "reason": "Both are about single-file/model loading, but one is SDXL checkpoint conversion without pipeline_class and the other is a general from_single_file regression; different concrete bugs." + "reason": "Both mention from_single_file, but one is SDXL checkpoint loading via ckpt conversion and the other is a generic v0.20.0 failure for StableDiffusionPipeline; not the same bug." }, { "left": "issue:5840", "right": "issue:6894", "accept": false, - "reason": "Both mention LoRA/training, but one is checkpoint resume/freezing in SDXL DreamBooth training and the other is LoRA compatibility in A1111; not the same bug." + "reason": "Both concern SDXL LoRA training, but one is resume/freezing behavior and the other is A1111 compatibility after export; different failure modes." }, { "left": "issue:7303", "right": "issue:7392", "accept": false, - "reason": "Scheduler zero_snr support and multi-aspect-ratio SDXL training are unrelated code paths and symptoms." + "reason": "Scheduler zero-SNR support is unrelated to SDXL multi-aspect-ratio training." }, { "left": "issue:2364", "right": "issue:499", "accept": false, - "reason": "Both are generic training-script failures, but they refer to different scripts and likely different breakages." + "reason": "Generic training-script failure versus unconditional training script not working; too broad and not clearly the same concrete bug." }, { "left": "issue:4868", "right": "issue:9267", "accept": false, - "reason": "Different AttributeError causes in different components; no shared underlying code-path problem." + "reason": "Different attribute errors in different components: a super().__getattr__ issue versus missing rope in FLUX transformer code." }, { "left": "issue:6801", "right": "issue:7785", "accept": false, - "reason": "Scheduler load failure and very slow first inference are distinct runtime behaviors, not the same bug." + "reason": "Scheduler loading error versus slow first inference; different symptoms and code paths." }, { "left": "issue:6110", "right": "issue:9187", "accept": false, - "reason": "Offline LoRA loading and SDXL IP-Adapter image_encoder_folder behavior are separate features with separate failures." + "reason": "Offline LoRA loading and SDXL IP-Adapter image_encoder_folder behavior are unrelated." }, { "left": "issue:2326", "right": "issue:2548", "accept": false, - "reason": "Both involve LoRA artifacts, but one is LoRA conversion to safetensors/ckpt and the other is LoRA saving during finetuning; not clearly the same defect." + "reason": "Both involve LoRA, but one is converting LoRA weights to safetensors/ckpt and the other is saving finetuning LoRA; not the same bug." }, { "left": "issue:4229", "right": "issue:4639", "accept": false, - "reason": "Both are training/multiprocessing issues, but they affect different scripts and failure modes." + "reason": "Both are multi-GPU training errors, but they affect different scripts and failure modes." }, { "left": "issue:10180", "right": "issue:12078", "accept": false, - "reason": "Flux Control LoRA loading multiple LoRAs and Flux Control finetuning validation input are different problems." + "reason": "Different feature areas: loading multiple LoRAs with Flux Control LoRA versus a Flux Control finetuning validation-input example problem." }, { "left": "issue:4206", "right": "issue:7466", "accept": false, - "reason": "SDXL controlnet training broken and torch.compile multi-controlnet inpaint failure are different concrete bugs." + "reason": "ControlNet training with SDXL versus torch.compile failing for multi-ControlNet in SDXL inpaint; related subsystem, but not the same bug." }, { "left": "issue:7053", "right": "issue:7185", "accept": false, - "reason": "Class conditioning in UNet3DConditionModel and PyTorch version support are unrelated." + "reason": "Unet3D class conditioning bug is unrelated to PyTorch 2.2 support concerns." }, { "left": "issue:12012", "right": "issue:12499", "accept": false, - "reason": "Both are Wan 2.2 issues, but one is first-block cache context state and the other is I2V condition shape mismatch; different code paths." + "reason": "apply_first_block_cache context-state error is unrelated to Wan 2.2 I2V condition shape mismatch." }, { "left": "issue:10040", "right": "issue:9421", "accept": false, - "reason": "Grey generated images and inability to access an inpainting model are unrelated." + "reason": "Grey images in SD3 and inability to access an inpainting model are different issues." }, { "left": "issue:2786", "right": "issue:4935", "accept": false, - "reason": "Depth2Img numpy/transformers compatibility and an SDXL LoRA layer question do not describe the same bug." + "reason": "A numpy/transformers pipeline compatibility bug is unrelated to a question about AttnProcsLayers usage in an SDXL LoRA training script." }, { "left": "issue:11178", "right": "issue:12029", "accept": false, - "reason": "MistoLine ControlNet loading with from_single_file and X-Omni-En model loading failures are different model-specific issues." + "reason": "MistoLine ControlNet loading and X-Omni-En model loading are different model-specific loading issues." }, { "left": "issue:4892", "right": "issue:5295", "accept": false, - "reason": "TokenFlow and LAVIE are different video-generation/editing pipelines; no shared duplicate bug." + "reason": "TokenFlow video editing pipeline and LAVIE video generation are different pipeline proposals, not duplicates." }, { "left": "issue:1061", "right": "issue:593", "accept": false, - "reason": "Documentation/example update is not the same as repeated-image behavior in high-res Stable Diffusion." + "reason": "Textual inversion doc update versus repeated images in high-res stable diffusion; unrelated." }, { "left": "issue:10772", "right": "issue:11547", "accept": false, - "reason": "Sana ControlNet support and Flux fill dev ControlNet support are distinct model-feature requests." + "reason": "Both request ControlNet support, but for different model families (Sana vs Flux fill dev); not the same concrete change." }, { "left": "issue:1264", "right": "issue:3645", "accept": false, - "reason": "Hard-coded noise scheduler and a ControlNet inpaint training help request are not the same underlying issue." + "reason": "Hard-coded scheduler issue in dreambooth training is unrelated to a ControlNet inpaint training/help question." }, { "left": "issue:3660", "right": "issue:4724", "accept": false, - "reason": "torch.compile/Lora/xformers incompatibility and SDXL img2img checkpoint behavior are different problems." + "reason": "torch.compile with LoRA/xformers is unrelated to SDXL img2img behavior with a base checkpoint." }, { "left": "issue:5150", "right": "issue:5862", "accept": false, - "reason": "Missing from_single_file on a pipeline and lack of gradient checkpointing support in Transformer2DModel are unrelated." + "reason": "from_single_file missing for UpscalePipeline is unrelated to Transformer2DModel gradient checkpointing support." }, { "left": "issue:6196", "right": "issue:6602", "accept": false, - "reason": "ControlNetXS SDXL loading failure and fuse_lora/save_pretrained reload failure are separate bugs." - }, - { - "left": "issue:8543", - "right": "issue:8726", - "accept": false, - "reason": "Gradient checkpointing failure in SD3 DreamBooth and text encoder errors in SD3 DreamBooth scripts are related only by model family, not the same bug." + "reason": "Two different loading/saving failures: ControlNetXS Depth SDXL loading versus loading after fuse_lora/save_pretrained." } ] }, @@ -47278,7 +47162,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1100", "issue:11700", @@ -47317,10 +47201,10 @@ "issue:6492", "issue:6722", "issue:6911", - "issue:7592", - "issue:8493", "issue:8532", + "issue:8543", "issue:8555", + "issue:8726", "issue:905", "issue:9134", "issue:9279", @@ -47329,6 +47213,7 @@ "issue:9997" ], "soft_pairs": [ + "issue:8543|issue:8726", "issue:4664|issue:5544", "issue:1271|issue:347", "issue:2707|issue:3325", @@ -47351,181 +47236,180 @@ "issue:1616|issue:5379", "issue:2618|issue:3391", "issue:3124|issue:6911", - "issue:4080|issue:5905", - "issue:7592|issue:8493" + "issue:4080|issue:5905" ], - "prepared_review_unit_hash": "25cf40fa8764544b95750e2ba0d551347b2035ccee35f23c580e502b452ab41a", + "prepared_review_unit_hash": "139feee643d0f44638d1e32d1348622dc3311a7c6fe5e52c6768cacf7d6599ff", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33243, - "estimated_input_tokens": 8311, - "estimated_eval_tokens": 16878 + "serialized_chars": 33237, + "estimated_input_tokens": 8310, + "estimated_eval_tokens": 16876 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a real duplicate cluster; it mixes many unrelated issue types with only weak topical similarity (mostly generic loading, black-image, or community-pipeline requests). No soft edge looks like the same underlying bug/change.", - "confidence": 0.94, - "canonical_issue_reason": null, + "summary": "This cluster is mostly a loose topical bundle of diffusion, LoRA, pipeline, and training issues rather than true duplicates. None of the soft pairs look like the same underlying bug/change, so all are rejected.", + "confidence": 0.78, + "canonical_issue_reason": "issue:12689 is the most concrete, bug-focused report in the set: a clear loading failure for LoRA adapter weights from checkpoints with an actionable symptom statement.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12689 is the broadest representative of the repeated LoRA-loading complaints, but the overall set is too heterogeneous for a true canonical duplicate target.", + "best_issue_reason": "issue:12689 is the best representative issue overall because it is specific, reproducible, and about a core failure mode (LoRA checkpoint loading) rather than a broad feature request or vague symptom.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8543", + "right": "issue:8726", + "accept": false, + "reason": "Both involve SD3 text-encoder/training problems, but one is a gradient-checkpointing failure and the other is text encoder errors in training scripts; different concrete bugs." + }, { "left": "issue:4664", "right": "issue:5544", "accept": false, - "reason": "Both mention model/pipeline behavior in SDXL, but one is a LoRA loading bug and the other is a FreeU disable error; different code paths and fixes." + "reason": "Both mention SDXL/LoRA-related pipeline behavior, but the symptoms differ: one is a LoRA loading inconsistency, the other is a FreeU disable error." }, { "left": "issue:1271", "right": "issue:347", "accept": false, - "reason": "Both concern installation/setup, but one is Dreambooth notebook dependency setup and the other is package resolution for diffusers; not the same failure." + "reason": "Both are dependency/install issues, but they concern different environments and failure modes; not the same underlying packaging 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." + "reason": "A syntax error in a conversion script and a CUDA runtime error during DreamBooth training are unrelated code paths." }, { "left": "issue:4185", "right": "issue:6492", "accept": false, - "reason": "Both report black images, but one is a ControlNet SDXL issue and the other is a generic image generation symptom; the likely root causes differ." + "reason": "Both mention black images, but one is specifically SDXL ControlNet inference while the other is a generic image-generation symptom with unknown cause." }, { "left": "issue:3221", "right": "issue:3660", "accept": false, - "reason": "Both touch LoRA/attention-related areas, but one is about load_attn_procs and the other is torch.compile with LoRA/xformers; not the same bug." + "reason": "These are different problems: attn processor loading in one version versus torch.compile compatibility with LoRA/xformers." }, { "left": "issue:3420", "right": "issue:6911", "accept": false, - "reason": "An inpaint pipeline composition bug and a 3D UNet class-label issue are different model behaviors." + "reason": "Different models and failures: a ControlNet inpaint pipeline issue versus class-label handling in a 3D UNet." }, { "left": "issue:8532", "right": "issue:9914", "accept": false, - "reason": "Both are LoRA-loading problems, but one is progressive memory growth and the other is a specific Xlabs trained-LoRA loading failure; not one concrete bug." + "reason": "Both involve LoRA loading, but one is memory growth during loading and the other is a specific Flux/Xlabs loading error; not the same bug." }, { "left": "issue:12535", "right": "issue:12689", "accept": false, - "reason": "Both mention LoRA loading, but they target different models and symptoms: a Wan2.2 Lightning LoRA not loading versus generic checkpoint adapter weights missing." + "reason": "Both are LoRA-loading complaints, but they target different model families and different failure modes, so they should not be merged." }, { "left": "issue:1197", "right": "issue:905", "accept": false, - "reason": "Both are community pipeline requests, but they ask for different pipelines with different functionality." + "reason": "These are separate community pipeline requests with different use cases; no shared underlying bug or implementation change." }, { "left": "issue:234", "right": "issue:2549", "accept": false, - "reason": "Half-precision instability and an SD2 UNet compatibility/runtime issue are distinct problems." + "reason": "Half-precision instability and an SD 2.0 UNet failure are not the same issue, even if both relate to Stable Diffusion models." }, { "left": "issue:4325", "right": "issue:5103", "accept": false, - "reason": "Both mention black images, but the reported contexts differ and one points to a DDIM zero-SNR issue while the other is SDXL NaN/uint8 casting behavior." + "reason": "Both produce black images, but the reported triggers differ (SDXL warning/cast path vs zero-SNR DDIM), so the underlying cause is not clearly the same." }, { "left": "issue:6722", "right": "issue:8555", "accept": false, - "reason": "A SigLIP text-encoder feature request and SD3 FP8/text-encoder training request are different enhancements." + "reason": "A feature request to use SigLIP as text encoder is not the same as SD3 text-encoder training availability/fp8 support." }, { "left": "issue:9134", "right": "issue:9997", "accept": false, - "reason": "Both are Flux LoRA related, but one is a loading issue with SimpleTuner-trained LoRAs and the other is support for new author-provided LoRAs; not the same bug." + "reason": "Both mention Flux LoRAs, but one is a specific incompatibility with SimpleTuner-trained LoRAs and the other is a broader support request for new LoRAs." }, { "left": "issue:1100", "right": "issue:1544", "accept": false, - "reason": "Different attribute errors in different components: CLIPTextTransformer.device versus DDPMScheduler.get_velocity." + "reason": "Different attribute errors in different components: CLIPTextTransformer device access versus DDPMScheduler get_velocity." }, { "left": "issue:12195", "right": "issue:13142", "accept": false, - "reason": "Different dependency breakages on different components: AutoencoderKL with torch.library.custom_op versus PRXPipeline.from_pretrained with transformers 5.1.0." + "reason": "Both are version-compatibility regressions, but they involve different packages and distinct failing APIs." }, { "left": "issue:2465", "right": "issue:2599", "accept": false, - "reason": "A request for a reproducible Dreambooth recipe and a complaint about multi-subject training quality are related only at a high level, not the same issue." + "reason": "A request for a reproducible training recipe is not the same as a report that multi-subject DreamBooth training yields worse quality." }, { "left": "issue:12575", "right": "issue:9953", "accept": false, - "reason": "Different subsystems: attention backend checks versus moving a pipeline with a quantized component to CUDA." + "reason": "These concern different failures: attention-backend checks in Chroma versus moving a quantized component to CUDA." }, { "left": "issue:11700", "right": "issue:9279", "accept": false, - "reason": "One is a Pruna integration request for from_pretrained/pipeline loading; the other is dynamic LoRA loading with torch.compile. Related theme, but not the same change." + "reason": "One is a Pruna integration request for from_pretrained/pipeline loading, the other is dynamic LoRA loading with torch.compile; separate feature changes." }, { "left": "issue:1350", "right": "issue:5442", "accept": false, - "reason": "A DiffusionDet object-detection request and a ScaleCrafter pipeline request are unrelated additions." + "reason": "Completely different domains: object detection (DiffusionDet) versus higher-resolution image generation (ScaleCrafter)." }, { "left": "issue:1616", "right": "issue:5379", "accept": false, - "reason": "Both are community pipeline requests, but for different pipelines and use cases." + "reason": "Different community pipelines with no shared bug or implementation target." }, { "left": "issue:2618", "right": "issue:3391", "accept": false, - "reason": "ControlNet float-tensor image input and DeepFloyd super-resolution overexposure are different pipeline behaviors." + "reason": "A ControlNet image-input type issue and a DeepFloyd overexposure bug are unrelated pipeline problems." }, { "left": "issue:3124", "right": "issue:6911", "accept": false, - "reason": "A model conversion failure and a 3D UNet class-label bug are unrelated." + "reason": "Stable Diffusion model conversion failure and a 3D UNet class-label bug are different code paths entirely." }, { "left": "issue:4080", "right": "issue:5905", "accept": false, - "reason": "An SDXL inpainting pipeline request and a diffusion-GAN model request are different feature requests." - }, - { - "left": "issue:7592", - "right": "issue:8493", - "accept": false, - "reason": "Both involve loading/state_dict issues, but one is DoRA missing keys and the other is SD3Transformer2DModel shape/key errors; different model classes and fixes." + "reason": "An SDXL inpainting pipeline request and a diffusion-GAN model request are separate feature additions, not duplicates." } ] }, @@ -47547,7 +47431,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10928", "issue:11247", @@ -47570,7 +47454,6 @@ "issue:5509", "issue:5578", "issue:5606", - "issue:5687", "issue:5753", "issue:5783", "issue:5862", @@ -47584,9 +47467,10 @@ "issue:6934", "issue:6974", "issue:7549", - "issue:7616", + "issue:7592", "issue:7619", "issue:8233", + "issue:8493", "issue:8518", "issue:8732", "issue:8832", @@ -47599,6 +47483,7 @@ "issue:9979" ], "soft_pairs": [ + "issue:7592|issue:8493", "issue:11584|issue:8518", "issue:6549|issue:6561", "issue:8732|issue:8909", @@ -47621,191 +47506,187 @@ "issue:5578|issue:5862", "issue:5783|issue:7549", "issue:2192|issue:6791", - "issue:3177|issue:7619", - "issue:5687|issue:7616" + "issue:3177|issue:7619" ], - "prepared_review_unit_hash": "a71907ae188c30f3f81b73e2c45778fbfa22db55513ffaf6f79d2df47b2c54f2", + "prepared_review_unit_hash": "ab8a689ba648803f9f46af465d02c934ebbd0f4633a8776e6a4802bbf9bb1b01", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34229, - "estimated_input_tokens": 8558, - "estimated_eval_tokens": 17372 + "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": "The cluster is mostly heterogeneous title-similarity noise across unrelated bugs, features, and scripts. I found one likely duplicate pair around SDXL EMA handling in `train_text_to_image_sdxl.py`; all other soft edges should be rejected.", + "summary": "This is not a true duplicate cluster: the issues span many unrelated bugs/features across model loading, training scripts, ControlNet/Flux/Wan/SD3, compilation, and file/path errors. The soft-link suggestions are mostly driven by superficial title similarity, not the same underlying problem.", "confidence": 0.94, - "canonical_issue_reason": "`issue:7549` is the clearest representative of the only plausible duplicate thread: it is specific, scoped to `train_text_to_image_sdxl.py`, and directly overlaps the EMA problem described in `issue:5783`.", + "canonical_issue_reason": "No single issue is a safe canonical target; the items describe different code paths and failure modes, so collapsing them would be incorrect.", "canonical_pr_reason": null, - "best_issue_reason": "`issue:7549` is the most concrete and representative issue in the set: well-scoped, reproducible, and tied to a clear code path, with a near-duplicate sibling already visible.", + "best_issue_reason": "None is a strong global representative because the set is heterogeneous rather than a near-duplicate cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7592", + "right": "issue:8493", + "accept": false, + "reason": "Both involve state_dict loading, but they target different models and failure modes (DoRA key coverage vs SD3Transformer2DModel mismatch)." + }, { "left": "issue:11584", "right": "issue:8518", "accept": false, - "reason": "Different failures: `torch.compile`/group offloading on HunyuanVideo vs SD3 `torch._dynamo` unsupported call path." + "reason": "Both mention torch.compile, but one is a group offloading incompatibility and the other is an SD3 dynamo unsupported-call error." }, { "left": "issue:6549", "right": "issue:6561", "accept": false, - "reason": "LoRA weight logging warning is unrelated to the IP-Adapter missing `config.json` load error." + "reason": "Different LoRA/IP-Adapter loading problems: one is a lora_weight logging issue, the other is a missing config.json file path error." }, { "left": "issue:8732", "right": "issue:8909", "accept": false, - "reason": "Both concern saving, but one is advanced training checkpointing while the other is `text_encoder_ti` saving in DreamBooth LoRA." + "reason": "Both are training/save related, but one is checkpoint saving in SD1.5 advanced training and the other is text_encoder_ti saving in a Dreambooth LoRA script." }, { "left": "issue:4835", "right": "issue:5606", "accept": false, - "reason": "ControlNet/MultiControlNet img2img bug is unrelated to loading LoRA without an alpha value." + "reason": "ControlNet img2img with MultiControlNetModel is unrelated to LoRA loading with no alpha value." }, { "left": "issue:6351", "right": "issue:8832", "accept": false, - "reason": "Different code paths: DDP missing `disable_adapters` vs a runtime crash on `pipe(prompt).images[0]`." + "reason": "One is a DDP adapter attribute error in a training script; the other is a generic runtime crash on pipeline image generation." }, { "left": "issue:8958", "right": "issue:9534", "accept": false, - "reason": "One is a PyTorch registration incompatibility, the other is a missing `config` attribute on `FluxMultiControlNetModel`." + "reason": "These are different PyTorch/Flux problems: a torch.library API mismatch versus FluxMultiControlNetModel missing config." }, { "left": "issue:10928", "right": "issue:8233", "accept": false, - "reason": "Model file resolution in a UNet directory is not the same as a depth pipeline fp16 failure." + "reason": "Both mention fp16/model handling, but one is a missing model file and the other is a depth pipeline fp16 error." }, { "left": "issue:2163", "right": "issue:2707", "accept": false, - "reason": "A dtype mismatch in training is not the same as a syntax error in the conversion script." + "reason": "Different training/conversion failures: UNet dtype mismatch during text-to-image training vs a syntax error in a conversion script." }, { "left": "issue:6427", "right": "issue:6934", "accept": false, - "reason": "Both are conversion bugs, but one targets `.ckpt` conversion and the other SDXL original-format conversion; not the same concrete defect." + "reason": "Both are conversion bugs, but they refer to different converters and outputs (.ckpt vs original SDXL format) without evidence of the same defect." }, { "left": "issue:11247", "right": "issue:9979", "accept": false, - "reason": "Both involve Flux + ControlNet, but one is multi-GPU distribution and the other is a channels/shape error; different bugs." + "reason": "Both involve Flux controlnet/multi-GPU-ish topics, but one is transformer distribution across GPUs and the other is an img2img controlnet channels error." }, { "left": "issue:3648", "right": "issue:3881", "accept": false, - "reason": "These are usage questions about VRAM and training settings, not the same bug report." + "reason": "These are generic how-to questions about training size/epochs, not the same concrete bug." }, { "left": "issue:5753", "right": "issue:6323", "accept": false, - "reason": "One is a ControlNet + LoRA loading issue, the other is a TensorRT pipeline attribute error." + "reason": "Different ControlNet/Lora integration issues: one is load_lora_weights failure, the other is a TensorRT img2img guidance_scale attribute problem." }, { "left": "issue:2250", "right": "issue:5509", "accept": false, - "reason": "DreamBooth prompt-generation failure is unrelated to image batch-size validation for numpy/cv2 inputs." + "reason": "Dreambooth prompt-generation failure is unrelated to image batch-size validation for np.ndarray/cv2 inputs." }, { "left": "issue:1363", "right": "issue:1616", "accept": false, - "reason": "Same LPW theme, but one is an ONNX/scheduler error and the other is a community pipeline compatibility report." + "reason": "Both concern LPW/community pipelines, but one is an ONNX scheduler error and the other is a general Diffusers version/support question." }, { "left": "issue:9422", "right": "issue:9927", "accept": false, - "reason": "ControlNet training NaNs are not the same as the SDv3 `HeaderTooLarge` failure." + "reason": "Different training instability bugs: one is NaNs during custom ControlNet SDXL backprop, the other is HeaderTooLarge when training controlnet with SD3." }, { "left": "issue:11351", "right": "issue:13258", "accept": false, - "reason": "One reports unexpected float32 dtype in Wan video processing; the other reports a missing Wan2.2 image-to-video model." + "reason": "Both mention Wan video models, but one is a datatype question for a processor and the other is a missing Wan2.2 TI2V model/package issue." }, { "left": "issue:2838", "right": "issue:5966", "accept": false, - "reason": "A feature request about ControlNet pipeline style is not the same as asking for Stable Diffusion 2.1 ControlNet support." + "reason": "One asks for ControlNet pipeline behavior; the other is a request for Stable Diffusion 2.1 ControlNet support." }, { "left": "issue:4520", "right": "issue:6974", "accept": false, - "reason": "LoRA scale with attention slicing is unrelated to textual inversion unload behavior." + "reason": "Both are adapter-related, but one is a LoRA scale + attention slicing bug and the other is textual inversion unload missing tokenizer/text encoder cleanup." }, { "left": "issue:5233", "right": "issue:9084", "accept": false, - "reason": "Wrong callback step value is unrelated to the SD3 inpaint scheduler step-order bug." + "reason": "Different scheduler/callback semantics: wrong callback step value vs SD3 inpaint EulerA scale_model_input ordering." }, { "left": "issue:5578", "right": "issue:5862", "accept": false, - "reason": "A missing `model_index.json` load error is unrelated to adding gradient checkpointing support." + "reason": "A missing model_index.json load error is unrelated to Transformer2DModel gradient checkpointing support." }, { "left": "issue:5783", "right": "issue:7549", - "accept": true, - "reason": "Both point to the same `train_text_to_image_sdxl.py` EMA problem; `7549` is the more specific statement of the likely same bug." + "accept": false, + "reason": "Both are SDXL training issues, but one is EMA not working in the training script and the other is a suspected UNet EMA bug; not clearly the same defect." }, { "left": "issue:2192", "right": "issue:6791", "accept": false, - "reason": "Missing CLI arguments in `train_dreambooth_lora.py` is a different script and issue from `train_text_to_image_sdxl.py` failing to run." + "reason": "Different training-script issues: missing CLI arguments in one script vs an SDXL training script that cannot run." }, { "left": "issue:3177", "right": "issue:7619", "accept": false, - "reason": "DeepSpeed stage-3 offload problems are not the same as the DreamBooth channel-count error." - }, - { - "left": "issue:5687", - "right": "issue:7616", - "accept": false, - "reason": "Both mention img2img quality at low strength, but one is a Karras-sigma timestep bug and the other is a Playground 2.5 artifact report; not enough to treat as the same bug." + "reason": "DeepSpeed stage-3 offloading in Dreambooth is unrelated to a channel-number mismatch in advanced Dreambooth training." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet: most pairs are indeed title-similarity-only and appear unrelated, and the 5783/7549 pair is a reasonable conservative duplicate call based on the shared `train_text_to_image_sdxl` EMA bug theme. The soft-edge rejections are cautious and do not overclaim beyond what the titles support." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -47820,7 +47701,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10550", @@ -47849,20 +47730,20 @@ "issue:5023", "issue:5152", "issue:5432", + "issue:5687", "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:7616", "issue:7948", "issue:8732", "issue:8738", @@ -47872,6 +47753,7 @@ "issue:9763" ], "soft_pairs": [ + "issue:5687|issue:7616", "issue:2091|issue:8732", "issue:1205|issue:4974", "issue:2462|issue:5966", @@ -47895,187 +47777,186 @@ "issue:3191|issue:3445", "issue:4993|issue:5023", "issue:10026|issue:8738", - "issue:11133|issue:12359", - "issue:6540|issue:6858" + "issue:11133|issue:12359" ], - "prepared_review_unit_hash": "9ed85a686ea254de8623409b7ce5d354e5bd953c29e80c5a4bad081f3da21823", + "prepared_review_unit_hash": "d3f74e51f642801bf80d5f4d59b5e49d9571652274ea83024ba44c94eeb9244b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34234, - "estimated_input_tokens": 8559, - "estimated_eval_tokens": 17374 + "serialized_chars": 34226, + "estimated_input_tokens": 8557, + "estimated_eval_tokens": 17370 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are not true duplicates; they mostly share broad subsystem keywords (training, ControlNet, LoRA, pipelines, conversions) but describe different bugs or feature requests. No soft pair is close enough to merge as one underlying change.", - "confidence": 0.93, - "canonical_issue_reason": "issue:9546 is the clearest concrete bug report in the most cohesive sub-area here (Flux ControlNet training), so it is the best representative issue, though the cluster overall is not duplicate-tight.", + "summary": "The cluster is largely heterogeneous: it mixes unrelated model-loading, scheduler, documentation, and training bugs. The only loose thematic concentration is around Flux/ControlNet training, but the specific failures differ enough that none of the soft pairs should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "issue:9546 is the best umbrella issue for the Flux ControlNet train-example memory-related reports in this set; it is broader and more representative than the more specific token-truncation or validation/OOM variants.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9546 is the strongest standalone issue: specific failure mode, clear reproduction context, and directly actionable training bug. The other issues are either broader feature requests, documentation, or different code paths.", + "best_issue_reason": "issue:9546 has the clearest cluster-central topic and the most discussion among the Flux ControlNet training issues, so it is the best candidate to anchor that subtopic even though the set is not a true duplicate cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5687", + "right": "issue:7616", + "accept": false, + "reason": "Both mention bad img2img behavior, but one is a scheduler duplicate-timestep bug and the other is low-denoise artifacts in a specific model; not the same concrete failure." + }, { "left": "issue:2091", "right": "issue:8732", "accept": false, - "reason": "Both concern training/checkpointing, but one is checkpoint resume on multi-GPU and the other is checkpoint saving; different failure modes." + "reason": "Checkpoint-resume failures and checkpoint-saving issues are related only broadly; they describe different training paths and different breakages." }, { "left": "issue:1205", "right": "issue:4974", "accept": false, - "reason": "Both are model-to-diffusers conversion requests, but they target different source formats (SD ckpt vs safetensors) and likely different conversion paths." + "reason": "These are opposite conversion directions (SD to ONNX vs safetensors to diffusers) and are not the same change or bug." }, { "left": "issue:2462", "right": "issue:5966", "accept": false, - "reason": "IterableDataset training support and ControlNet 2.1 support are unrelated feature requests." + "reason": "IterableDataset training support and ControlNet SD2.1 support are unrelated feature/usage topics." }, { "left": "issue:6811", "right": "issue:9454", "accept": false, - "reason": "Both are model-not-found/download issues, but for different models and URLs; not the same bug." + "reason": "Both are 'model not found' reports, but for different models and likely different repository/config issues." }, { "left": "issue:7079", "right": "issue:8873", "accept": false, - "reason": "Transformer patch/norm-type error is a model-shape bug, while xformers slowness is a performance regression." + "reason": "Transformer patch/norm errors and xformers performance are distinct problems with no shared code-path evidence." }, { "left": "issue:1249", "right": "issue:1974", "accept": false, - "reason": "OnnxPipeline ndarray/device error is unrelated to Euler scheduler reproducibility with generator lists." + "reason": "ONNX pipeline ndarray device errors and Euler scheduler generator-list handling are unrelated." }, { "left": "issue:11447", "right": "issue:8873", "accept": false, - "reason": "Offline checkpoint shard loading failure and xformers performance are different issues." + "reason": "Offline checkpoint shard loading and xformers speed regressions are unrelated subsystems and failures." }, { "left": "issue:255", "right": "issue:3103", "accept": false, - "reason": "Both involve image-size handling, but one is a StableDiffusionPipeline unet block error and the other is inpainting size behavior." + "reason": "Both concern image dimensions, but one is a Stable Diffusion unet_blocks error and the other is an inpainting height/width topic; not enough to be the same bug." }, { "left": "issue:3019", "right": "issue:6407", "accept": false, - "reason": "Text-guided image editing with SAM and AnyText are different model/application proposals." + "reason": "These are different research-feature requests for text/image editing, not the same underlying issue." }, { "left": "issue:5432", "right": "issue:6949", "accept": false, - "reason": "Blank validation images in SDXL LoRA training and even-step blank images in a scheduler are different bugs." + "reason": "Both mention blank outputs, but one is blank validation images in a LoRA training script and the other is a scheduler-specific blank-image bug." }, { "left": "issue:7255", "right": "issue:7948", "accept": false, - "reason": "PeRFlow and MuLan are unrelated research/feature proposals." + "reason": "Completely different model/proposal topics; no shared bug or change." }, { "left": "issue:2991", "right": "issue:761", "accept": false, - "reason": "Mixed-precision ControlNet example failure and 8-bit Adam DreamBooth failure are different training paths and errors." + "reason": "Mixed-precision ControlNet example failure and 8-bit Adam DreamBooth failure are different training configuration bugs." }, { "left": "issue:9546", "right": "issue:9763", "accept": false, - "reason": "Both are Flux ControlNet training issues, but one is validation-step OOM and the other is prompt truncation at 77 tokens; different problems." + "reason": "Both are Flux ControlNet training issues, but one is validation-step OOM while the other is token truncation beyond 77 tokens; different concrete bugs." }, { "left": "issue:5023", "right": "issue:5152", "accept": false, - "reason": "WuerstchenCombinedPipeline import error and W\u00fcrstchen bug are related only by model family, not the same concrete failure." + "reason": "Both are W\u00fcrstchen-related, but one is an import error in 0.21.0 and the other is a different bug in 0.21.3 alpha; not clearly the same issue." }, { "left": "issue:10550", "right": "issue:11702", "accept": false, - "reason": "LoRA loading into quantized base models and AccVid LoRA key errors are both LoRA-loading topics but on different models and failure points." + "reason": "Both involve LoRA loading, but one is quantized-base-model loading and the other is an AccVid-specific key error; different code paths." }, { "left": "issue:3540", "right": "issue:6157", "accept": false, - "reason": "'prompt_embeds' support in TextToVideoZeroPipeline and IP-Adapter not working in ControlNetImg2ImgPipeline are unrelated pipeline bugs." + "reason": "TextToVideoZero prompt-embedding support and ControlNetImg2Img IP-Adapter behavior are unrelated pipeline bugs." }, { "left": "issue:1552", "right": "issue:730", "accept": false, - "reason": "Attention slicing on SD2 and DreamBooth training quality differences are unrelated." + "reason": "Both are DreamBooth/training-related, but the reported failures and conditions differ substantially." }, { "left": "issue:6382", "right": "issue:7033", "accept": false, - "reason": "IP-adapter key error during LCM LoRA training and IP-Adapter attention masking warnings are different code paths and severities." + "reason": "A training/loading key error with IP-Adapter and IP-Adapter attention masking warnings are not the same bug." }, { "left": "issue:2581", "right": "issue:4000", "accept": false, - "reason": "Both concern checkpoint conversion, but ControlNet 2.1 conversion and SD2 ckpt conversion are distinct conversion targets." + "reason": "ControlNet conversion support and SD2.0 ckpt-to-diffusers conversion are adjacent but not the same conversion task or failure." }, { "left": "issue:4892", "right": "issue:5889", "accept": false, - "reason": "TokenFlow and Stable Video Diffusion are different pipeline/model requests." + "reason": "TokenFlow and Stable Video Diffusion are distinct video-generation features with no concrete duplicate evidence." }, { "left": "issue:3191", "right": "issue:3445", "accept": false, - "reason": "DreamBooth+LoRA broken and text-encoder monkey-patching broken are related but not the same bug." + "reason": "DreamBooth+LoRA broken and text-encoder monkey-patching not working are related only at a very high level; different failure modes." }, { "left": "issue:4993", "right": "issue:5023", "accept": false, - "reason": "CLIPImageProjection import structure issue and WuerstchenCombinedPipeline import error are different missing-export problems." + "reason": "CLIPImageProjection import-structure exposure and W\u00fcrstchenCombinedPipeline import error are separate import issues affecting different symbols." }, { "left": "issue:10026", "right": "issue:8738", "accept": false, - "reason": "DeepSpeed memory reduction issue and SD3Transformer2DModel configuration failure are separate training/configuration bugs." + "reason": "Flux ControlNet memory behavior and SD3Transformer2DModel configuration are different training/model-setup issues." }, { "left": "issue:11133", "right": "issue:12359", "accept": false, "reason": "CogVideoX image-to-video pipeline bug and Chroma guidance_scale documentation bug are unrelated." - }, - { - "left": "issue:6540", - "right": "issue:6858", - "accept": false, - "reason": "FSDP mat2/matrix error in ControlNet finetuning and string '.convert' attribute error in training are different runtime failures." } ] }, @@ -48097,7 +47978,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10040", "issue:10428", @@ -48129,10 +48010,11 @@ "issue:6090", "issue:6258", "issue:6385", + "issue:6540", "issue:6549", "issue:6594", + "issue:6858", "issue:7002", - "issue:7168", "issue:7731", "issue:7950", "issue:7974", @@ -48141,7 +48023,6 @@ "issue:8518", "issue:8551", "issue:858", - "issue:8832", "issue:8879", "issue:8958", "issue:9630", @@ -48149,6 +48030,7 @@ "issue:9979" ], "soft_pairs": [ + "issue:6540|issue:6858", "issue:11359|issue:12120", "issue:11830|issue:4321", "issue:1802|issue:4186", @@ -48172,187 +48054,186 @@ "issue:10428|issue:9979", "issue:1695|issue:2089", "issue:4030|issue:6594", - "issue:6090|issue:7002", - "issue:7168|issue:8832" + "issue:6090|issue:7002" ], - "prepared_review_unit_hash": "7917f5847d69574023460dfb1a3d93bc1247d73c769b3c7b617723cbd05512eb", + "prepared_review_unit_hash": "45ad2ebb03a8073b9415e5615cc95178bc39ae6ba7620445d8e7f4e343e4092a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34777, - "estimated_input_tokens": 8695, - "estimated_eval_tokens": 17646 + "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": "This cluster is mostly a false-positive similarity set: it mixes black/grey image reports, dtype/device mismatches, compile/offload failures, training questions, and unrelated pipeline regressions. I do not see any soft pair that clearly describes the same concrete bug or change.", - "confidence": 0.76, - "canonical_issue_reason": "If a single representative is required, issue 4321 is the most concrete and well-scoped of the recurring black-image reports, but the overall cluster is too heterogeneous to treat as one duplicate set.", + "summary": "This cluster is mostly a loose collection of unrelated issues that only share broad symptom patterns (black/grey images, pipeline errors, training/runtime exceptions). None of the soft pairs look like safe duplicates under a strict same-code-path standard.", + "confidence": 0.37, + "canonical_issue_reason": "issue:10040 is the most general and representative visible-output corruption report in the set, with decent discussion and references, so it is the best canonical stand-in for the image-artifact subset.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 4321 is the best standalone issue candidate because it has a specific symptom, backend, and reproduction context; however, it should be used only as a loose representative, not as proof the cluster is one bug.", + "best_issue_reason": "issue:10040 is concrete, recent, and broadly framed enough to anchor triage for the image-generation artifact reports; it is more representative than the highly specific one-off errors.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6540", + "right": "issue:6858", + "accept": false, + "reason": "Different failures: FSDP matrix-shape error in ControlNet fine-tuning vs a string/convert AttributeError during controlnet training." + }, { "left": "issue:11359", "right": "issue:12120", "accept": false, - "reason": "Feature request about faster LTX-Video inference vs a LoRA training question for Flux; unrelated topics." + "reason": "Feature request about LTX-Video speed vs a how-to question about training LoRA on a distilled Flux model; not the same bug." }, { "left": "issue:11830", "right": "issue:4321", "accept": false, - "reason": "Both mention black output, but they hit different pipelines/backends (Framepack float16 vs ONNX DirectML FP16) and likely different code paths." + "reason": "Both mention black output, but the pipelines and backends differ (FramePack float16 vs ONNX StableDiffusion DirectML), so this is too broad to merge as one bug." }, { "left": "issue:1802", "right": "issue:4186", "accept": false, - "reason": "UNet encoder_hidden_states=None bug is unrelated to SDXL inpaint/refiner failure." + "reason": "Different code paths and symptoms: encoder_hidden_states=None on unet_2d_condition vs SDXL inpaint/refiner behavior." }, { "left": "issue:2107", "right": "issue:2179", "accept": false, - "reason": "Both involve black/glitchy images, but one is low-resolution rendering and the other is a Flax scheduler issue; not the same underlying bug." + "reason": "Low-resolution glitch/black images vs FlaxDDPMScheduler black images; same broad symptom, but not clearly the same underlying defect." }, { "left": "issue:6385", "right": "issue:8551", "accept": false, - "reason": "VRAM usage problem vs VAE device placement with device_map='balanced'; different failure modes." + "reason": "VRAM usage issue vs device placement bug for image latents; unrelated underlying problems." }, { "left": "issue:11136", "right": "issue:9889", "accept": false, - "reason": "SanaSprint timestep support error is unrelated to an SDXL turbo segmentation fault." + "reason": "SanaSprint timestep support limitation vs SDXL-turbo segfault; different models and different failure modes." }, { "left": "issue:10040", "right": "issue:6258", "accept": false, - "reason": "Grey images in SD3 vs forward-chunking quality degradation in Stable Video Diffusion; too different to merge." + "reason": "Grey image generation in SD3 vs quality degradation from forward chunking in Stable Video Diffusion; not the same bug." }, { "left": "issue:2695", "right": "issue:9630", "accept": false, - "reason": "ControlNet validation/TensorBoard issue vs flux-controlnet single-GPU configuration error; unrelated." + "reason": "Tensorboard validation failure during training vs flux-controlnet num_single_layers handling on single GPU; unrelated." }, { "left": "issue:2495", "right": "issue:4321", "accept": false, - "reason": "Both are black-image reports, but on different pipelines/platforms (MPS upscale vs DirectML FP16) with no clear shared code path." + "reason": "Both produce black images, but they are distinct pipelines/backends (MPS upscale vs ONNX DirectML), so they should not be merged." }, { "left": "issue:11410", "right": "issue:7950", "accept": false, - "reason": "Attention unpacking ValueError vs PyTorch 2.3 incompatibility; not the same concrete bug." + "reason": "Attention unpacking ValueError vs PyTorch 2.3 compatibility issue; not the same concrete code-path." }, { "left": "issue:6549", "right": "issue:7974", "accept": false, - "reason": "Warning log typo with IP-Adapter+LoRA vs an inpaint IP-Adapter bug; unrelated." + "reason": "Warning-log typo/reporting issue vs IP-Adapter inpaint bug; different symptoms and fixes." }, { "left": "issue:4936", "right": "issue:8472", "accept": false, - "reason": "DreamBooth LoRA resume regression vs a general pretraining question; not duplicates." + "reason": "Dreambooth resume regression vs a question about training LoRA with other modules; not duplicate bug reports." }, { "left": "issue:5227", "right": "issue:8879", "accept": false, - "reason": "Both involve torch.compile, but one is LoRA loading and the other is cudagraph failure in SDXL; different code-path problems." + "reason": "LoRA loading with torch.compile vs torch.compile+cudagraph failure on SDXL; related theme, but not the same underlying defect." }, { "left": "issue:11006", "right": "issue:11104", "accept": false, - "reason": "Different video pipelines and different issues (quantized transformer output vs offload method breakage)." + "reason": "Wan 2.1 I2V quantized-transformer video corruption vs LTX-Video offload methods broken; different pipelines and failure mechanisms." }, { "left": "issue:1536", "right": "issue:3213", "accept": false, - "reason": "Same lpw_stable_diffusion family, but 3213 reads like a later regression rather than the same underlying bug." + "reason": "Both concern lpw_stable_diffusion, but one is a compatibility report and the other is a later breakage report; insufficient evidence they are the same bug." }, { "left": "issue:4752", "right": "issue:5274", "accept": false, - "reason": "Both are dtype mismatch errors, but in different contexts (SDXL pipeline inference vs training with mixed precision)." + "reason": "SDXL bias/input dtype mismatch in inference vs mixed-precision training dtype error; similar dtype flavor, but different code paths and likely different fixes." }, { "left": "issue:8182", "right": "issue:8958", "accept": false, - "reason": "Logger typo vs missing torch.library.register_fake API; unrelated." + "reason": "Logger API typo vs torch.library.register_fake missing in PyTorch 2.4; completely unrelated." }, { "left": "issue:8518", "right": "issue:8879", "accept": false, - "reason": "Both are compile-related, but the actual failures differ (unsupported call_function vs cudagraph failure)." + "reason": "SD3 torch.compile unsupported UserDefinedClassVariable vs SDXL torch.compile+cudagraph failure; different models and compiler failure sites." }, { "left": "issue:1100", "right": "issue:858", "accept": false, - "reason": "Different attribute errors on different classes; no shared bug." + "reason": "CLIPTextTransformer device attribute issue vs Parameter.named_children AttributeError; different API breakages." }, { "left": "issue:4892", "right": "issue:7731", "accept": false, - "reason": "TokenFlow video editing vs StreamingT2V long-video generation; different projects/features." + "reason": "Distinct research/pipeline features (TokenFlow vs StreamingT2V), not the same bug." }, { "left": "issue:10428", "right": "issue:9979", "accept": false, - "reason": "Ascend NPU Flux inference error vs Flux img2img ControlNet channel mismatch; not the same bug." + "reason": "Both mention Flux, but one is an Ascend NPU inference error and the other is a controlnet channels mismatch; different problems." }, { "left": "issue:1695", "right": "issue:2089", "accept": false, - "reason": "Multi-GPU DreamBooth/deepspeed training question vs CUDA OOM in AltDiffusion DreamBooth training; different problems." + "reason": "Dreambooth multi-GPU/deepspeed training request vs a CUDA OOM in AltDiffusion DreamBooth; unrelated." }, { "left": "issue:4030", "right": "issue:6594", "accept": false, - "reason": "Stable Diffusion embedding runtime error vs network download failure fetching a config file." + "reason": "Stable Diffusion embedding runtime error vs network failure fetching a remote config file; not duplicate issues." }, { "left": "issue:6090", "right": "issue:7002", "accept": false, - "reason": "Channel-count mismatch vs invalid buffer size; different root causes." - }, - { - "left": "issue:7168", - "right": "issue:8832", - "accept": false, - "reason": "IP-Adapter embedding-shape question vs generic crash when indexing output images; unrelated." + "reason": "Channel-count mismatch in a model layer vs an invalid buffer size memory error; different root causes." } ] }, @@ -48374,7 +48255,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:10165", @@ -48392,12 +48273,10 @@ "issue:11215", "issue:11464", "issue:11648", - "issue:1185", "issue:11853", "issue:2234", "issue:2265", "issue:259", - "issue:2599", "issue:2880", "issue:3149", "issue:3382", @@ -48416,8 +48295,10 @@ "issue:6154", "issue:6297", "issue:6741", + "issue:7168", "issue:7516", "issue:7982", + "issue:8832", "issue:9136", "issue:9208", "issue:9525", @@ -48425,6 +48306,7 @@ "issue:987" ], "soft_pairs": [ + "issue:7168|issue:8832", "issue:2265|issue:3886", "issue:10492|issue:11062", "issue:11014|issue:3382", @@ -48447,181 +48329,180 @@ "issue:1070|issue:259", "issue:10940|issue:7516", "issue:11215|issue:9525", - "issue:11464|issue:11648", - "issue:1185|issue:2599" + "issue:11464|issue:11648" ], - "prepared_review_unit_hash": "2546870894476a9c5ad81aab037c33af0eb59054ecaab513f99bafad0c363114", + "prepared_review_unit_hash": "cfceafada8fdff137a5554f74a1b7eff8f5057a5e8bdacf9ffb372ba3c516474", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33171, - "estimated_input_tokens": 8293, - "estimated_eval_tokens": 16842 + "serialized_chars": 33213, + "estimated_input_tokens": 8304, + "estimated_eval_tokens": 16864 }, "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, docs, training issues, and LoRA/load failures across different pipelines and versions. The soft pairs are only superficially similar by broad keywords and should all be rejected.", - "confidence": 0.95, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous: LoRA/Flux loading and scaling issues appear alongside unrelated training, scheduler, docs, and pipeline bugs. None of the soft pairs look like true duplicates; they\u2019re only loosely similar by subsystem.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 9525 is the clearest concrete bug report in the densest recurring theme (Flux/LoRA behavior), but the overall cluster is too mixed to treat it as a real duplicate anchor.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 9525 is the most actionable standalone report: specific title, clear symptom, and a focused code-path (Flux LoRA scale handling).", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7168", + "right": "issue:8832", + "accept": false, + "reason": "Different problems: IP-Adapter image embedding tensor shape vs a generic pipeline crash on `pipe(prompt)`." + }, { "left": "issue:2265", "right": "issue:3886", "accept": false, - "reason": "Different failures: ONNXRuntime incompatibility in a training script vs distributed watchdog timeout during DDPM training. Same area, not the same bug." + "reason": "Different failures: ONNXRuntime incompatibility in a training script vs distributed collective timeout during ddpm training." }, { "left": "issue:10492", "right": "issue:11062", "accept": false, - "reason": "Both mention loading/fusing LoRA, but one is a torchao quantize+fuse error and the other is a specific CivitAI LoRA loading problem. Different code paths and symptoms." + "reason": "Related to quantization/LoRA, but one is a torchao quantize fuse error and the other is a CivitAI LoRA load error in a different setup." }, { "left": "issue:11014", "right": "issue:3382", "accept": false, - "reason": "Both are OOM reports, but one is general CUDA OOM on Colab and the other is multi-GPU training OOM. Not the same underlying issue." + "reason": "Both mention OOM, but the contexts differ: inference on Colab A100 vs multi-GPU training memory usage." }, { "left": "issue:10223", "right": "issue:4398", "accept": false, - "reason": "Unrelated: a question about obtaining a LoRA ID for inference vs SDXL LoRA dreambooth producing black images." + "reason": "Completely different topics: a question about a LoRA ID for inference vs all-black images in an SDXL LoRA dreambooth pipeline." }, { "left": "issue:5128", "right": "issue:9208", "accept": false, - "reason": "Both involve single-file loading, but one is loading a local safetensors with XLPipeline and the other is ControlNet models with from_single_file(). Different model/component failures." + "reason": "Both involve loading files/models, but one is a local `.safetensors` load and the other is ControlNet loading from single-file checkpoints." }, { "left": "issue:5215", "right": "issue:5630", "accept": false, - "reason": "Both describe image quality changes, but one is brightness shifts in upscale pipeline and the other is leftover noise in SDXL Img2Img with LMS scheduler. Different bugs." + "reason": "Both are image-quality regressions, but one is brightness shift in upscale and the other is leftover noise in SDXL img2img with LMS." }, { "left": "issue:3566", "right": "issue:987", "accept": false, - "reason": "Both are about odd image outputs, but one is a ControlNet reference community pipeline and the other is a speech-to-image pipeline. No concrete shared code-path evidence." + "reason": "Both report unexpected output colors/artifacts, but the pipelines and symptoms are different (ControlNet reference vs speech-to-image green output)." }, { "left": "issue:5630", "right": "issue:9558", "accept": false, - "reason": "Noise leftover in SDXL Img2Img is not the same as black validation images in TensorBoard. Different subsystems and failure modes." + "reason": "Different manifestations: noise leftover in SDXL img2img vs black validation images in tensorboard." }, { "left": "issue:11853", "right": "issue:9136", "accept": false, - "reason": "Both mention quality issues with adapters, but one is ControlNet+IP-Adapter VRAM/config sizing and the other is IP-Adapter output quality at some resolutions. Not the same bug." + "reason": "Not the same bug: one is a controlnet+IP-Adapter dimension conflict, the other is a general quality issue at some resolutions." }, { "left": "issue:6154", "right": "issue:6741", "accept": false, - "reason": "Different training-script issues: SDXL LoRA training on M2 Mac vs a missing no_flip argument in Diffusion DPO script. No shared underlying defect." + "reason": "Different training problems: SDXL LoRA training on M2 Mac vs a missing `no_flip` argument in a Diffusion DPO script." }, { "left": "issue:3595", "right": "issue:7982", "accept": false, - "reason": "Both involve loading/conversion helpers, but from_ckpt failure and from_pipe with MultiControlNetModel are distinct compatibility problems." + "reason": "Both are `from_*`/loading-related, but one is `from_ckpt` failure and the other is `from_pipe` with MultiControlNetModel." }, { "left": "issue:2234", "right": "issue:6297", "accept": false, - "reason": "One is xformers memory-efficient attention breaking finetuning; the other is SDXL LoRA training not working on photos. Same training domain, not same bug." + "reason": "Both concern training, but one is xformers memory-efficient attention and the other is SDXL LoRA training on photos." }, { "left": "issue:5258", "right": "issue:5433", "accept": false, - "reason": "Both are SDXL/control-related, but one is ControlNet inpaint with refiner model and the other is DPM++ artifacts without refiner. Different pipeline behaviors." + "reason": "Different SDXL/refiner issues: controlnet inpaint with refiner vs DPM++ artifacts without refiner." }, { "left": "issue:10165", "right": "issue:10866", "accept": false, - "reason": "Both concern LoRA scale/seed or LoRA availability, but one is seed preservation when changing LoRA scale and the other is Lumina Image 2.0 LoRA compatibility. Not the same issue." + "reason": "Both mention LoRA, but one is seed preservation when changing scale and the other is a Lumina/Civitai compatibility problem." }, { "left": "issue:5064", "right": "issue:5075", "accept": false, - "reason": "Both involve SDXL refiner inference, but one is out-of-space during refiner use and the other is a prompt-embedding shape mismatch. Different concrete failures." + "reason": "Both involve SDXL refiner usage, but one is out-of-space inference and the other is a prompt-embedding shape mismatch." }, { "left": "issue:1013", "right": "issue:3149", "accept": false, - "reason": "Completely different: StableDiffusionMegaPipeline on old diffusers vs nondeterministic images in diffusers 0.14.0." + "reason": "Different core bugs: a specific StableDiffusionMegaPipeline compatibility issue vs nondeterministic image generation." }, { "left": "issue:1049", "right": "issue:3412", "accept": false, - "reason": "Both are docs-related, but they request different documentation updates for different schedulers/endpoints; not duplicates." + "reason": "Both are docs-related, but they request different documentation updates (Euler schedulers vs stable diffusion next steps)." }, { "left": "issue:10512", "right": "issue:10804", "accept": false, - "reason": "Both are LoRA loading issues, but one is Quanto Flux LoRA can't load and the other is a ComfyUI-compatible FLUX1.dev LoRA load failure. Similar theme only, no evidence of same root cause." + "reason": "Related to FLUX LoRA loading, but one is Quanto Flux LoRA load failure and the other is a ComfyUI-compatible FLUX1.dev LoRA load failure." }, { "left": "issue:1061", "right": "issue:2880", "accept": false, - "reason": "Different documentation/runtime contexts: Textual Inversion instruction update vs a JAX Colab environment not running." + "reason": "Different content entirely: a text inversion docs update vs a JAX Colab runtime failure." }, { "left": "issue:1070", "right": "issue:259", "accept": false, - "reason": "Both are Stable Diffusion pipeline bugs, but one is inpainting in a new version and the other is a progress bar fix. No overlap in underlying defect." + "reason": "Different pipelines and symptoms: inpainting bug in new SD vs progress bar behavior in Stable Diffusion." }, { "left": "issue:10940", "right": "issue:7516", "accept": false, - "reason": "Different import/package issues: missing triton.ops vs missing DepthNormalEstimationPipeline attribute. Separate dependency/export problems." + "reason": "Unrelated import/runtime issues: missing `triton.ops` vs missing `DepthNormalEstimationPipeline` symbol." }, { "left": "issue:11215", "right": "issue:9525", "accept": false, - "reason": "Both mention LoRA support, but one is quantization slowness with FLUX.1-dev and the other is lora_scale having no effect when loading with Flux. Not the same bug." + "reason": "Both touch LoRA and quantization/Flux, but one is about slow quantization and ineffective LoRA support, not the same as `lora_scale` having no effect." }, { "left": "issue:11464", "right": "issue:11648", "accept": false, - "reason": "Both are FLUX/LoRA-related, but one is loading a specific Canny-dev LoRA into FluxControlPipeline and the other asks how to load LoRA weights with an fp8 transformer. Different technical problems." - }, - { - "left": "issue:1185", - "right": "issue:2599", - "accept": false, - "reason": "Dreambooth reproducibility vs multi-subject Dreambooth quality degradation. Related training area, but not the same underlying issue." + "reason": "Both are Flux/LoRA-related, but one is loading a specific Canny-dev LoRA in FluxControlPipeline and the other is fp8 transformer LoRA weight handling." } ] }, @@ -48643,8 +48524,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:1185", "issue:11964", "issue:1304", "issue:1305", @@ -48658,6 +48540,7 @@ "issue:2361", "issue:2437", "issue:2462", + "issue:2599", "issue:2645", "issue:2689", "issue:2776", @@ -48673,7 +48556,6 @@ "issue:4064", "issue:4080", "issue:4117", - "issue:4152", "issue:4376", "issue:4868", "issue:4933", @@ -48688,12 +48570,12 @@ "issue:684", "issue:7428", "issue:776", - "issue:7877", "issue:905", "issue:9178", "issue:9637" ], "soft_pairs": [ + "issue:1185|issue:2599", "issue:11964|issue:9178", "issue:1304|issue:2093", "issue:1305|issue:5153", @@ -48716,181 +48598,180 @@ "issue:3811|issue:4868", "issue:383|issue:528", "issue:4080|issue:6158", - "issue:4117|issue:684", - "issue:4152|issue:7877" + "issue:4117|issue:684" ], - "prepared_review_unit_hash": "4607527e02a2ed5d9acbd15c67ca501413dd3418d1b1732c1d2891c3f9c9812b", + "prepared_review_unit_hash": "d09b840b81656e8e5645999b5000d223f5c3a87dea35c61653624fd27316622b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32748, - "estimated_input_tokens": 8187, - "estimated_eval_tokens": 16630 + "serialized_chars": 32722, + "estimated_input_tokens": 8181, + "estimated_eval_tokens": 16618 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a grab-bag of unrelated diffusion-model issues and feature requests. The clearest, most actionable bug report is the Flux LoRA load failure in issue 11964; none of the soft pairs look like true duplicates.", + "summary": "This cluster is a broad false positive: it mixes Dreambooth/LoRA training bugs, pipeline feature requests, platform-specific errors, and unrelated questions. None of the soft-edge pairs look like the same underlying issue or change.", "confidence": 0.91, - "canonical_issue_reason": "Issue 11964 is the most concrete, current, and actionable bug report in the set: a specific Flux LoRA load KeyError with a clear missing-weight path.", + "canonical_issue_reason": "Issue 4117 is the most substantial bug report in the training-related subset and the closest thing to a cluster anchor, but it is still distinct from the other Dreambooth/LoRA reports.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 11964 is the strongest representative because it describes a precise runtime failure with a named missing parameter and likely reproducible code path.", + "best_issue_reason": "Issue 4117 is the strongest representative artifact: detailed repro, clear failure mode, and the broadest relevance among the training-bug issues in this mixed set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1185", + "right": "issue:2599", + "accept": false, + "reason": "Both concern Dreambooth results, but one is about reproducibility and the other about multi-subject quality degradation; different bugs." + }, { "left": "issue:11964", "right": "issue:9178", "accept": false, - "reason": "Both are Flux LoRA-related, but one is a load-time missing-weight KeyError and the other is a training-time PEFT target-module error; different code paths." + "reason": "Both mention Flux LoRA, but one is a load-time missing-weights KeyError and the other is a training target-module error." }, { "left": "issue:1304", "right": "issue:2093", "accept": false, - "reason": "One is a general how-to question, the other is a broad topic issue; no shared bug or change." + "reason": "These are both image-to-image related, but one is a how-to/training question and the other is a generic model-topic issue." }, { "left": "issue:1305", "right": "issue:5153", "accept": false, - "reason": "Completely different topics: a paper/request about Direct Inversion vs a FreeU feature request." + "reason": "Direct Inversion and FreeU are unrelated research/features; no shared bug or change path." }, { "left": "issue:1500", "right": "issue:2053", "accept": false, - "reason": "Pipeline compatibility bug versus VRAM regression; distinct problems." + "reason": "One is a community pipeline incompatibility, the other is a VRAM regression; different symptoms and code paths." }, { "left": "issue:1552", "right": "issue:1807", "accept": false, - "reason": "Attention slicing failure and per-generation slowdown are separate performance issues." + "reason": "Attention slicing breakage is not the same as gradually slowing inference; different performance issues." }, { "left": "issue:1572", "right": "issue:4933", "accept": false, - "reason": "Img2img/inpainting pipeline breakage versus Dreambooth checkpoint export failure; unrelated." + "reason": "Img2img/inpainting pipeline failure is unrelated to Dreambooth checkpoint export problems." }, { "left": "issue:2218", "right": "issue:5014", "accept": false, - "reason": "Both mention training quality, but they describe different symptoms and likely different causes." + "reason": "Both describe poor training outcomes, but one is generic overtraining and the other is specifically LoRA results not showing up." }, { "left": "issue:2361", "right": "issue:4376", "accept": false, - "reason": "Checkpoint save crash and SDXL textual inversion crash are unrelated." + "reason": "Checkpoint-save crashing and textual inversion crashing are different failures in different scripts/pipelines." }, { "left": "issue:2437", "right": "issue:4064", "accept": false, - "reason": "Both are feature requests for new pipelines, but for different pipelines and changes." + "reason": "Both are pipeline feature requests, but for different pipeline types and different functionality." }, { "left": "issue:2462", "right": "issue:540", "accept": false, - "reason": "IterableDataset support and memory optimization are different training concerns." + "reason": "IterableDataset support and GPU memory usage are unrelated training concerns." }, { "left": "issue:2645", "right": "issue:660", "accept": false, - "reason": "Both involve Apple/MPS contexts, but one is a CUDA assertion in ControlNet and the other is fp16 on MPS; not the same bug." + "reason": "Both involve Apple hardware, but one is a ControlNet CUDA assertion and the other is fp16/MPS execution." }, { "left": "issue:2689", "right": "issue:776", "accept": false, - "reason": "A broken image link is unrelated to an img2img batch-size bug." + "reason": "A broken image link is not the same as an img2img batch-size bug." }, { "left": "issue:2776", "right": "issue:5595", "accept": false, - "reason": "Dreambooth/DeepSpeed setup issue versus invalid height/width validation; unrelated." + "reason": "DeepSpeed/ZeRO runtime failure is unrelated to invalid image size dimensions." }, { "left": "issue:2783", "right": "issue:905", "accept": false, - "reason": "Both mention img2img/inpainting, but one is for ControlNet and the other is a community pipeline request; not the same concrete change." + "reason": "Both mention img2img/inpainting, but one is a ControlNet pipeline request and the other is a broader community pipeline question." }, { "left": "issue:2785", "right": "issue:4080", "accept": false, - "reason": "Text-to-video M1/M2 support and SDXL inpainting are unrelated feature requests." + "reason": "M1/M2 text-to-video support and SDXL inpainting are different feature requests for different pipelines." }, { "left": "issue:2844", "right": "issue:668", "accept": false, - "reason": "StableUnCLIP image-embedding error versus Dreambooth runtime error on Colab; different failures." + "reason": "StableUnCLIP image-embedding passing and Dreambooth on Colab are unrelated runtime errors." }, { "left": "issue:2991", "right": "issue:9637", "accept": false, - "reason": "Mixed-precision ControlNet example issue and XFormers bfloat/mask issue are distinct bugs." + "reason": "Both touch attention/mixed precision, but they affect different mechanisms: ControlNet mixed-precision vs XFormers attention-mask/bfloat16 edge case." }, { "left": "issue:3175", "right": "issue:3803", "accept": false, - "reason": "Both concern training, but one is multi-face Dreambooth and the other is multi-GPU LoRA sharing; different code paths." + "reason": "Multi-face Dreambooth training and multi-GPU LoRA synchronization are different training problems." }, { "left": "issue:3583", "right": "issue:7428", "accept": false, - "reason": "Mixture of Diffusers support and layer diffusion support are different features." + "reason": "These are separate feature requests for different diffusion variants; no same implementation target." }, { "left": "issue:3811", "right": "issue:4868", "accept": false, - "reason": "LoRA having no effect and an AttributeError in __getattr__ are not the same underlying issue." + "reason": "LoRA load having no effect on generation is not the same as a generic AttributeError in __getattr__." }, { "left": "issue:383", "right": "issue:528", "accept": false, - "reason": "General configuration question versus model output class question; unrelated." + "reason": "Both are conceptual questions about model classes, but they are about different frameworks and different topics." }, { "left": "issue:4080", "right": "issue:6158", "accept": false, - "reason": "SDXL inpainting pipeline request and Animatediff SDXL support request are separate features." + "reason": "SDXL inpainting and animatediff SDXL support are separate pipeline features." }, { "left": "issue:4117", "right": "issue:684", "accept": false, - "reason": "Dreambooth on SDXL and AMD memory optimization are different training problems." - }, - { - "left": "issue:4152", - "right": "issue:7877", - "accept": false, - "reason": "Attention-kwargs routing and adding out_dim to Attention are related only broadly; not the same bug or mergeable change." + "reason": "Dreambooth failing on SDXL is unrelated to AMD training memory optimization issues." } ] }, @@ -48912,7 +48793,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:12369", "issue:12457", @@ -48921,18 +48802,16 @@ "issue:12482", "issue:12483", "issue:2453", - "issue:3698", + "issue:4152", "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", @@ -48954,6 +48833,7 @@ "issue:7142", "issue:7146", "issue:7592", + "issue:7877", "issue:8472", "issue:8532", "issue:9393", @@ -48964,6 +48844,7 @@ "issue:986" ], "soft_pairs": [ + "issue:4152|issue:7877", "issue:4274|issue:5371", "issue:4316|issue:5432", "issue:4340|issue:8472", @@ -48987,208 +48868,192 @@ "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" + "issue:12369|issue:12457" ], - "prepared_review_unit_hash": "42fc4fde5723355507b628bff6084ee4f6567bdc68e642a2a6e1804a82e7b532", + "prepared_review_unit_hash": "4e391ebdd7279f255cdf9d73a62083af3a4483abf58579417381147f78b3473e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 28, - "serialized_chars": 34481, - "estimated_input_tokens": 8621, - "estimated_eval_tokens": 17498 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33140, + "estimated_input_tokens": 8285, + "estimated_eval_tokens": 16826 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a set of unrelated issue soft-matches, with one strong duplicate group around the CLIPTextModel `offload_state_dict` TypeError and one smaller CineScale feature pair. The rest are too broad or differ in concrete failure mode/script/model to merge as duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "issue:12483 is the clearest and most general report of the repeated `CLIPTextModel.__init__() got unexpected keyword argument 'offload_state_dict'` problem, and it cleanly subsumes the near-identical reports in 12480/12481/12482.", + "summary": "This cluster is mostly unrelated issue reports, except for a tight duplicate set about `offload_state_dict` / `CLIPTextModel` / the diffusers-transformers dependency conflict. I would use issue 12483 as the canonical issue for that duplicate group.", + "confidence": 0.95, + "canonical_issue_reason": "12483 is the most complete and highest-level report in the duplicate set: it frames the problem as a diffusers 0.35.1 vs transformers 4.57.0 dependency conflict causing the `offload_state_dict` TypeError, while 12480-12482 are narrower near-duplicate titles of the same failure.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12483 is the best representative issue in this set because it states the dependency-conflict failure most directly and has multiple duplicate reports pointing to the same underlying bug.", + "best_issue_reason": "12483 is the best triage anchor because it captures the underlying compatibility problem, not just the surface CLIPTextModel constructor error.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4152", + "right": "issue:7877", + "accept": false, + "reason": "Both concern attention APIs, but one asks for mixed attention kwargs per processor and the other for an `out_dim` option on Attention; different feature requests." + }, { "left": "issue:4274", "right": "issue:5371", "accept": false, - "reason": "Both are BLIP-related requests, but one is for BLIP Diffusion and the other for BLIP inpainting support; these are different features." + "reason": "Both mention BLIP, but one requests BLIP Diffusion support and the other BLIP inpainting pipeline support; separate additions." }, { "left": "issue:4316", "right": "issue:5432", "accept": false, - "reason": "Both involve validation in training scripts, but they are different scripts and different symptoms, so not the same bug." + "reason": "Both are training-script validation issues, but they affect different scripts and symptoms, so they are not the same bug." }, { "left": "issue:4340", "right": "issue:8472", "accept": false, - "reason": "One reports an SDXL LoRA training error, the other is a general question about pretraining LoRA with other modules; not the same issue." + "reason": "One is an SDXL LoRA training error and the other is a general question about training LoRA with other modules; not the same concrete problem." }, { "left": "issue:4405", "right": "issue:6388", "accept": false, - "reason": "Textual inversion script creation and gradient-checkpointing behavior in SDXL LoRA training are distinct changes." + "reason": "Textual inversion script request and gradient-checkpointing ignored in SDXL LoRA training are unrelated changes." }, { "left": "issue:4460", "right": "issue:7142", "accept": false, - "reason": "Both describe result mismatches, but they concern different models/pipelines and different concrete problems." + "reason": "Both compare diffusers output against another implementation, but they involve different models and failure modes." }, { "left": "issue:4727", "right": "issue:5577", "accept": false, - "reason": "Local-files-only auto pipeline loading and ControlNet from_single_file key lookup are unrelated loader bugs." + "reason": "One is about `local_files_only` auto pipelines; the other is a `from_single_file` ControlNet key error. Different code paths." }, { "left": "issue:4773", "right": "issue:8532", "accept": false, - "reason": "Both mention LoRA loading, but one is about loading CivitAI LoRAs and the other about memory growth during loading; different bug paths." + "reason": "Both involve LoRA loading, but one is about loading a specific CivitAI LoRA and the other about progressive memory growth; different bugs." }, { "left": "issue:4806", "right": "issue:5330", "accept": false, - "reason": "Both are UNet2DModel issues, but one is a parameter type problem and the other is ignored class_labels handling." + "reason": "Both touch UNet2DModel, but one is a parameter type issue and the other is `class_labels` being ignored in forward; not the same defect." }, { "left": "issue:5004", "right": "issue:6439", "accept": false, - "reason": "Checkpoint resume failure and a broken documentation link are not the same underlying issue." + "reason": "Checkpoint-resume training failure and a broken docs link are unrelated." }, { "left": "issue:5150", "right": "issue:5405", "accept": false, - "reason": "Both mention from_single_file, but one is a missing method and the other is a weight-overwrite bug in a different loader path." + "reason": "Both mention `from_single_file`, but one is a missing method on StableDiffusionUpscalePipeline and the other is weights not being overwritten in SDXL loading." }, { "left": "issue:5392", "right": "issue:986", "accept": false, - "reason": "These are separate training/question threads with no concrete shared bug or change." + "reason": "A training question for latent diffusion and a butterfly demo question are unrelated." }, { "left": "issue:5932", "right": "issue:7002", "accept": false, - "reason": "Different runtime failures in different code paths; the error signatures do not point to the same bug." + "reason": "Both are runtime errors in pipelines, but they describe different symptoms and likely different root causes." }, { "left": "issue:6218", "right": "issue:7592", "accept": false, - "reason": "Batched seeds behavior in ControlNet/img2img and DoRA state_dict loading are unrelated." + "reason": "Batch seed handling in pipelines vs incomplete DoRA state dict loading are unrelated." }, { "left": "issue:6297", "right": "issue:9393", "accept": false, - "reason": "Both are LoRA training-related, but for different models and different failure modes (training vs saving)." + "reason": "Both are LoRA training problems, but they involve different models, tooling, and failure points." }, { "left": "issue:6791", "right": "issue:7146", "accept": false, - "reason": "Same script family, but one is a generic run failure and the other is an OOM; not enough to treat as the same bug." + "reason": "Same training script, but one report says it cannot run while the other is specifically CUDA OOM; not the same issue." }, { "left": "issue:6865", "right": "issue:9645", "accept": false, - "reason": "A missing `Image` instance check and an import error for a loader mixin are different code-path problems." + "reason": "A load_image type-check bug and an import error for a loader mixin are unrelated." }, { "left": "issue:7009", "right": "issue:9568", "accept": false, - "reason": "These concern different video/image model issues and different failure modes." + "reason": "Different model families and different reconstruction/generation failures." }, { "left": "issue:9611", "right": "issue:9767", "accept": false, - "reason": "Both touch FluxImg2Img, but one is an image batching error and the other is a cuDNN/LoRA runtime issue; not the same bug." + "reason": "Both involve FluxImg2ImgPipeline, but one is an image 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-identical `CLIPTextModel.__init__() got unexpected keyword argument 'offload_state_dict'` report; same underlying bug." + "reason": "Same `offload_state_dict` TypeError family; 12481 is just another phrasing of the same diffusers/transformers incompatibility." }, { "left": "issue:12482", "right": "issue:12483", "accept": true, - "reason": "Same TypeError and same offending kwarg as 12483; clear duplicate." + "reason": "Same underlying bug: `CLIPTextModel` receives unexpected `offload_state_dict`, matching the same compatibility problem." }, { "left": "issue:12480", "right": "issue:12483", "accept": true, - "reason": "Same offload_state_dict TypeError with essentially the same report; duplicate." + "reason": "Same root cause and error path; 12480 is a duplicate report of the `offload_state_dict` constructor failure." }, { "left": "issue:2453", "right": "issue:6423", "accept": false, - "reason": "A contribution question and a results-reproducibility issue are unrelated." + "reason": "General contribution question and a specific reproducibility issue are unrelated." }, { "left": "issue:2453", "right": "issue:4241", "accept": false, - "reason": "General contribution question versus a LoRA fine-tuning support request; not the same issue." + "reason": "A contribution question and a LoRA fine-tuning feature request are not duplicates." }, { "left": "issue:12369", "right": "issue:12457", - "accept": true, - "reason": "Both are CineScale feature requests; `12457` is the broader duplicate of the more specific Wan 2.1 CineScale request." - }, - { - "left": "issue:3698", - "right": "issue:4445", - "accept": false, - "reason": "Inpainting-model conversion and LoRA finetuning guidance are unrelated." - }, - { - "left": "issue:4241", - "right": "issue:4876", - "accept": false, - "reason": "Both mention LoRA, but one is about fine-tuning support and the other about adding a layer-standard-deviation argument; different changes." - }, - { - "left": "issue:4241", - "right": "issue:6423", "accept": false, - "reason": "Fine-tuning support and Fill50k result reproducibility are not the same problem." + "reason": "Both are CineScale-related, but the titles are too broad to confirm the same bug or change; insufficient evidence for a duplicate merge." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: the 12480/12481/12482/12483 cluster is clearly the repeated `offload_state_dict` TypeError, and the rest of the pairs are mostly conservative false matches based on differing scripts, models, or failure modes. The CineScale pair is a plausible soft duplicate/feature match from the titles alone. No pull-request mergeability issue applies here." + "feedback": "The summary is grounded in the packet: 12369/12457 is a separate CineScale pair, and 12480/12481/12482/12483 are a clear duplicate cluster around the same `offload_state_dict` / `CLIPTextModel` constructor failure. The soft-edge rejections are conservative and the accepted duplicates are well supported by the near-identical titles and high similarity scores." }, "evaluator_used": true, "retried": false, @@ -49207,7 +49072,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11519", "issue:11560", @@ -49225,14 +49090,17 @@ "issue:3427", "issue:3576", "issue:3593", + "issue:3698", "issue:378", "issue:384", "issue:3902", + "issue:4241", "issue:4445", "issue:4609", "issue:4716", "issue:4747", "issue:4750", + "issue:4876", "issue:4913", "issue:4922", "issue:4978", @@ -49243,13 +49111,10 @@ "issue:5630", "issue:5932", "issue:5947", + "issue:6423", "issue:6572", - "issue:671", "issue:692", - "issue:743", "issue:7619", - "issue:7972", - "issue:8241", "issue:9031", "issue:9032", "issue:9038", @@ -49259,6 +49124,10 @@ "issue:9410" ], "soft_pairs": [ + "issue:3698|issue:4445", + "issue:4241|issue:4876", + "issue:4241|issue:6423", + "issue:4445|issue:4876", "issue:4445|issue:692", "issue:3576|issue:3593", "issue:4913|issue:6572", @@ -49282,200 +49151,204 @@ "issue:5932|issue:7619", "issue:5274|issue:5425", "issue:1962|issue:2195", - "issue:3385|issue:3427", - "issue:7972|issue:8241", - "issue:671|issue:743" + "issue:3385|issue:3427" ], - "prepared_review_unit_hash": "bb11a84029ba0791139697733b5a632b694e38741037d71a6ac093274b6e36c4", + "prepared_review_unit_hash": "a23ea9e51211db08377febf02ae14ebd6430d169449931f451d33af42a611df0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 26, - "serialized_chars": 33794, - "estimated_input_tokens": 8449, - "estimated_eval_tokens": 17154 + "soft_pair_count": 28, + "serialized_chars": 34301, + "estimated_input_tokens": 8576, + "estimated_eval_tokens": 17408 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The items split into several small duplicate-like clusters rather than one single topic. Strongest matches are the DiagonalGaussianDistribution/latent_dist error, the SDXL img2img denoising-offset scheduler bug, the Flux-on-MPS float64 issue, and the Dreambooth channel-mismatch error.", - "confidence": 0.71, - "canonical_issue_reason": "issue:5628 is the clearest concrete bug report among the duplicate candidates and best captures the SDXL img2img denoising-offset/scheduler problem.", + "summary": "Mostly a heterogeneous cluster of unrelated feature requests and bug reports. The only strong duplicate family I see is the DreamBooth channel-mismatch error pair (5932/7619), with a second textual-inversion/DiagonalGaussianDistribution pair (378/384) also looking like the same underlying bug. The other soft pairs are broader similarity matches but not true duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 5932 is the clearest concrete bug report in the set and has the strongest duplicate match (7619) with a reproducible channel-mismatch traceback.", "canonical_pr_reason": null, - "best_issue_reason": "issue:5628 is the strongest canonical issue candidate because it has a specific repro and symptom, and it cleanly subsumes the closely related img2img scheduler reports.", + "best_issue_reason": "5932 is the best issue to keep as the canonical representative of its bug family; most other items are feature/support requests rather than the same defect.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:4445", + "accept": false, + "reason": "Different asks: converting an inpainting model to diffusers vs guidance on LoRA finetuning." + }, + { + "left": "issue:4241", + "right": "issue:4876", + "accept": false, + "reason": "Both mention LoRA, but one is about fine-tuning support and the other is about exposing a layer-std argument; not the same change." + }, + { + "left": "issue:4241", + "right": "issue:6423", + "accept": false, + "reason": "Unrelated feature request vs reproduction issue for fill50k results." + }, + { + "left": "issue:4445", + "right": "issue:4876", + "accept": false, + "reason": "Finetuning how-to vs LoRA initialization parameter request; different topics." + }, { "left": "issue:4445", "right": "issue:692", "accept": false, - "reason": "Both are generic training questions, but they ask for different things (LoRA finetuning vs a general diffusion finetuning example) and do not describe the same concrete bug/change." + "reason": "General fine-tuning example request is not the same as a LoRA finetuning question." }, { "left": "issue:3576", "right": "issue:3593", "accept": false, - "reason": "Both mention xformers, but one is a Textual Inversion TypeError and the other is a LoRA second-call failure; different code paths and failure modes." + "reason": "Both involve xformers, but one is Textual Inversion and the other is LoRA/PyTorch 2.0 second-call failure; different code paths." }, { "left": "issue:4913", "right": "issue:6572", "accept": false, - "reason": "Both are ControlNet-related feature requests, but they target different pipelines/models (openpose SDXL vs ControlNetXS SDXL inpaint)." + "reason": "Different pipeline/model requests: ControlNet openpose for SDXL vs ControlNetXS inpaint pipeline." }, { "left": "issue:1755", "right": "issue:4609", "accept": false, - "reason": "No clear shared bug/change; these appear to be unrelated requests in different languages/topics." + "reason": "No meaningful overlap beyond generic support-request noise; unrelated subjects." }, { "left": "issue:1755", "right": "issue:2311", "accept": false, - "reason": "Unrelated topics; one is a generic request and the other is a scheduler request." + "reason": "Generic unrelated issue vs UniPC scheduler request." }, { "left": "issue:4922", "right": "issue:692", "accept": false, - "reason": "Android demo request vs fine-tuning example request; different feature areas." + "reason": "Android demo request is unrelated to diffusion fine-tuning examples." }, { "left": "issue:4750", "right": "issue:4978", "accept": false, - "reason": "Both involve inpainting/preprocessors, but they ask for different preprocessors and different behavior, so they are not the same underlying issue." + "reason": "Both touch inpainting preprocessors, but they ask for different specific preprocessors and behaviors; not clearly the same change." }, { "left": "issue:200", "right": "issue:202", "accept": false, - "reason": "These are clearly different test requests for different files/classes." + "reason": "Different test additions for different files/classes." }, { "left": "issue:11560", "right": "issue:9410", "accept": false, - "reason": "Both are import problems, but they concern different modules and different import failures." + "reason": "Generic import error is too vague to treat as the same as the SD3 ControlNet inpainting import failure." }, { "left": "issue:9031", "right": "issue:9032", "accept": false, - "reason": "Different Flax pipeline questions: disabling safety checker vs getting a TPU MWE." + "reason": "Different FlaxStableDiffusionPipeline questions: safety checker vs TPU colab setup." }, { "left": "issue:4716", "right": "issue:4747", "accept": false, - "reason": "One is about SDXL long prompts; the other is a missing model_index.json after loading LoRA. Different problems." - }, - { - "left": "issue:5628", - "right": "issue:5630", - "accept": true, - "reason": "Same SDXL img2img/LMS scheduler denoising bug: both describe incorrect denoising_start/end behavior and leftover-noise symptoms." + "reason": "SDXL long-prompt handling vs missing model_index.json after loading a fine-tuned LoRA; unrelated issues." }, { "left": "issue:378", "right": "issue:384", "accept": true, - "reason": "Same Textual Inversion / DiagonalGaussianDistribution bug; 384 is the concrete AttributeError variant of the same underlying failure." + "reason": "Same Textual Inversion / DiagonalGaussianDistribution bug family; 384 reads like the concrete error manifestation of 378." }, { "left": "issue:1962", "right": "issue:3902", "accept": false, - "reason": "Both are video-generation-related requests, but they target different feature proposals rather than the same change." + "reason": "Both are video-related, but one is a stable-diffusion video-generation request and the other is a Control-A-Video request." }, { "left": "issue:9038", "right": "issue:9039", "accept": false, - "reason": "Different FlaxStableDiffusionPipeline features: prompt weighting vs LoRA loading." + "reason": "Prompt weighting and LoRA loading are separate API requests, not one duplicate bug." }, { "left": "issue:2462", "right": "issue:5947", "accept": false, - "reason": "Unrelated requests: IterableDataset finetuning support vs diffusion-DPO policy/objective wording." + "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); same broad area but not the same concrete change." + "reason": "Different model support requests: MAGI-1 vs Wan 2.1 CineScale up-to-4K." }, { "left": "issue:5447", "right": "issue:5628", - "accept": true, - "reason": "Same SDXL img2img denoising/timestep offset problem; 5447 and 5628 describe the same underlying scheduler handling bug from different angles." + "accept": false, + "reason": "Both concern denoising start/end behavior, but they target different scheduler configurations and symptoms; too broad to merge as one bug." }, { "left": "issue:9047", "right": "issue:9224", - "accept": true, - "reason": "Likely the same Flux-on-MPS failure; 9224 points to the hardcoded float64 Metal incompatibility that explains 9047's broader MPS failure." + "accept": false, + "reason": "MPS failure vs a specific float64-on-Metal limitation; related theme, but not clearly the same underlying defect from the available evidence." }, { "left": "issue:2453", "right": "issue:2838", "accept": false, - "reason": "A contribution/how-to question vs a ControlNet feature request; not duplicates." + "reason": "Contribution questions and ControlNet pipeline behavior are unrelated." }, { "left": "issue:5932", "right": "issue:7619", "accept": true, - "reason": "Same channel-mismatch RuntimeError family in Dreambooth/training; 7619 is the broader description of the same bug." + "reason": "Same concrete DreamBooth channel-count mismatch; 7619 is essentially the same error class as 5932." }, { "left": "issue:5274", "right": "issue:5425", "accept": false, - "reason": "Different training/checkpointing failures with different symptoms and contexts; not the same bug." + "reason": "Different training/checkpointing problems; no shared concrete bug." }, { "left": "issue:1962", "right": "issue:2195", "accept": false, - "reason": "Both are video-oriented, but one is a generic video-generation request and the other is a specific Tune-A-Video request." + "reason": "Both mention video, but they are different feature requests with different targets." }, { "left": "issue:3385", "right": "issue:3427", "accept": false, - "reason": "Both mention JAX, but they are requests for different models/features and do not point to the same underlying change." - }, - { - "left": "issue:7972", - "right": "issue:8241", - "accept": false, - "reason": "Both are LEDITS++-related, but one is a type mismatch and the other is an abnormal model size concern; too different to treat as the same issue." - }, - { - "left": "issue:671", - "right": "issue:743", - "accept": false, - "reason": "Both concern model conversion, but one is about non-identical converted outputs and the other is a conversion failure; different bugs." + "reason": "Distinct model-support requests for different JAX integrations." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The accepted duplicate pairs are plausible from the titles/descriptions, and the rejected pairs are reasonably distinguished without overstating evidence." + "feedback": "The summary is grounded in the packet and the soft-edge verdicts are generally conservative. The main duplicate family callout (5932/7619) is well supported, and the other pairs are mostly reasonable false negatives. Minor caution: avoid wording that implies extra evidence not shown in the packet (for example, a specific 'traceback') unless it appears in the issue text." }, "evaluator_used": true, "retried": false, @@ -49494,12 +49367,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", - "issue:11315", "issue:11432", - "issue:11436", "issue:11555", "issue:11560", "issue:1158", @@ -49538,13 +49409,17 @@ "issue:5947", "issue:6042", "issue:6572", - "issue:8493", - "issue:8738", + "issue:671", + "issue:743", + "issue:7972", + "issue:8241", "issue:9042", "issue:9264", "issue:9825" ], "soft_pairs": [ + "issue:7972|issue:8241", + "issue:671|issue:743", "issue:3698|issue:5162", "issue:2838|issue:5947", "issue:1755|issue:5480", @@ -49567,188 +49442,180 @@ "issue:12567|issue:13105", "issue:11432|issue:11555", "issue:2195|issue:2984", - "issue:12097|issue:12499", - "issue:8493|issue:8738", - "issue:11315|issue:11436" + "issue:12097|issue:12499" ], - "prepared_review_unit_hash": "dbf64630bfed879016a1f71615f614ed8d64344068d235f12f4d44f89b1ab3e8", + "prepared_review_unit_hash": "4beb389ab275dfe8d3b19c2ebcf5fef1dc71649b04981687ff38cdcb520438e0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 32795, - "estimated_input_tokens": 8199, - "estimated_eval_tokens": 16654 + "serialized_chars": 32730, + "estimated_input_tokens": 8183, + "estimated_eval_tokens": 16622 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These are mostly unrelated issue topics; the soft pairs share broad models/subsystems but not the same concrete bug or requested change. No PRs are present. I\u2019d treat issue 8493 as the strongest standalone canonical issue because it is the most detailed and actionable report.", - "confidence": 0.34, - "canonical_issue_reason": "Issue 8493 has the richest debugging context and discussion, making it the best representative standalone issue in this set.", + "summary": "This set is mostly false-positive similarity pairs across unrelated feature requests and bugs (diffusers, Wan, Z-Image, Flux, tests, and model import/conversion issues). I would not merge any of the soft edges.", + "confidence": 0.67, + "canonical_issue_reason": "If a single issue must anchor this bucket, issue 11555 is the cleanest representative because it is a clearly scoped, actionable feature request with discussion and references; the rest are mostly narrower or unrelated reports.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 8493 is the most informative and actionable bug report here; the others are either sparse, generic, or clearly about different problems.", + "best_issue_reason": "Issue 11555 is the strongest standalone issue here: it has a clear request, active discussion, and enough specificity to be triaged without depending on other reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7972", + "right": "issue:8241", + "accept": false, + "reason": "Both mention LEDITS++, but one is a type-mismatch bug and the other is a model-size anomaly; different underlying problems." + }, + { + "left": "issue:671", + "right": "issue:743", + "accept": false, + "reason": "Both are about conversion, but one reports non-identical converted outputs while the other cannot convert a ckpt at all." + }, { "left": "issue:3698", "right": "issue:5162", "accept": false, - "reason": "Different tasks: converting an inpainting model vs converting a folder checkpoint to safetensors." + "reason": "Different change requests: inpainting conversion vs a folder-to-safetensors script." }, { "left": "issue:2838", "right": "issue:5947", "accept": false, - "reason": "Unrelated topics: ControlNet pipeline behavior vs Diffusion-DPO policy objective." + "reason": "No shared code path; controlnet pipeline behavior and Diffusion-DPO policy objectives are unrelated." }, { "left": "issue:1755", "right": "issue:5480", "accept": false, - "reason": "Generic post vs request for EDM implementation; not the same change." + "reason": "No concrete overlap; a generic Arabic-titled issue and an EDM implementation request are not the same bug/change." }, { "left": "issue:9042", "right": "issue:9264", "accept": false, - "reason": "Both are Flux-related, but one is a general pipeline request and the other is a specific inpainting request." + "reason": "Both are Flux-related, but one requests the base Flux pipeline and the other asks for a Flux inpainting model; distinct feature work." }, { "left": "issue:11630", "right": "issue:11878", "accept": false, - "reason": "One asks for from_single_file support; the other reports GGUF failure on a specific model size." + "reason": "Same model family, but different problems: single-file loading support versus GGUF compatibility for a specific model size." }, { "left": "issue:201", "right": "issue:338", "accept": false, - "reason": "Different test additions: attention class vs LMS Discrete." + "reason": "Different test additions for different components; they are not the same test failure or fix." }, { "left": "issue:201", "right": "issue:339", "accept": false, - "reason": "Different test additions: attention class vs Karras VE." + "reason": "Same as above: separate test coverage requests, not one underlying issue." }, { "left": "issue:2221", "right": "issue:2268", "accept": false, - "reason": "Both mention ColossalAI, but the titles are too generic to confirm the same underlying bug." + "reason": "Both are ColossalAI errors in general, but there is no evidence they are the same failing code path or fix." }, { "left": "issue:10049", "right": "issue:11560", "accept": false, - "reason": "Cannot import MochiPipeline is specific; import error is too vague and could be many different failures." + "reason": "Both are import errors, but one is specific to MochiPipeline while the other is generic and lacks evidence of the same root cause." }, { "left": "issue:4913", "right": "issue:5926", "accept": false, - "reason": "Different model/pipeline requests with no concrete overlap." + "reason": "Different model requests entirely: controlnet-openpose-sdxl versus Kandinsky 3.0." }, { "left": "issue:13232", "right": "issue:13351", "accept": false, - "reason": "Different feature requests for different model families." + "reason": "Different model/support requests for unrelated families (LTX vs Wan/Flux controlnet)." }, { "left": "issue:1158", "right": "issue:1160", "accept": false, - "reason": "Different pytest failures in different tests." + "reason": "Both are test problems, but one is test interference in config tests and the other is a hang in a local custom pipeline test." }, { "left": "issue:9042", "right": "issue:9825", "accept": false, - "reason": "Related Flux area, but one is a pipeline request and the other is IP-Adapter support; not the same change." + "reason": "Both involve Flux, but one is adding the pipeline and the other is adding IPAdapter support; separate concrete changes." }, { "left": "issue:4835", "right": "issue:5112", "accept": false, - "reason": "Same broad pipeline family, but the reported failures are different bugs." + "reason": "Same pipeline name, but different bugs: MultiControlNetModel handling versus a torch.Size type error." }, { "left": "issue:6042", "right": "issue:6572", "accept": false, - "reason": "Different features: SDXL-turbo distilling example vs ControlNetXS inpaint pipeline." + "reason": "Unrelated feature requests: SDXL-turbo distillation example versus a ControlNetXS inpaint pipeline." }, { "left": "issue:2830", "right": "issue:4609", "accept": false, - "reason": "Different model requests: text/image-to-video vs a T2I adapter model." + "reason": "Different model requests with no shared underlying defect or implementation path." }, { "left": "issue:3699", "right": "issue:4141", "accept": false, - "reason": "Completely different failures: CUDA on macOS vs second controlnet not respected." + "reason": "Completely unrelated: macOS CUDA import error versus controlnet inpaint not respecting the second controlnet." }, { "left": "issue:12097", "right": "issue:12896", "accept": false, - "reason": "Both are Wan 2.2, but one is VRAM OOM and the other is an MPS failure." + "reason": "Both are Wan2.2 issues, but one is a VRAM OOM at the end and the other is an MPS backend failure; different symptoms and likely different fixes." }, { "left": "issue:12732", "right": "issue:12738", "accept": false, - "reason": "Same Z-Image area, but one is a generic inference error and the other is a batch-size assertion failure." + "reason": "Both concern Z-Image, but one is a generic inference pipeline error while the other is a batch-size assertion failure; not enough evidence they are the same bug." }, { "left": "issue:12567", "right": "issue:13105", "accept": false, - "reason": "Both mention noise, but they concern different models and code paths." + "reason": "Both mention noise, but one is specifically tied to Ulysses Attention and the other to a Wan T2V model output issue." }, { "left": "issue:11432", "right": "issue:11555", "accept": false, - "reason": "`torch_dtype=\"auto\"` behavior and `device_map=\"auto\"` support are different API questions." + "reason": "Both use \"auto\", but one is a torch_dtype parsing bug and the other is a device_map support request; different code paths." }, { "left": "issue:2195", "right": "issue:2984", "accept": false, - "reason": "Different video-model requests, not the same feature." - }, - { - "left": "issue:12097", - "right": "issue:12499", - "accept": false, - "reason": "One is an OOM report; the other is a condition shape mismatch." - }, - { - "left": "issue:8493", - "right": "issue:8738", - "accept": false, - "reason": "Related SD3Transformer2DModel area, but one is a state_dict loading error and the other is a configuration issue." - }, - { - "left": "issue:11315", - "right": "issue:11436", - "accept": false, - "reason": "Both are HiDream issues, but one is a float64 RoPE/MPS bug and the other is a dtype mismatch at inference." + "reason": "Different video-generation requests with no clear shared root cause or implementation." } ] }, @@ -49770,11 +49637,12 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10120", "issue:1076", "issue:10760", + "issue:11315", "issue:11436", "issue:11653", "issue:11821", @@ -49800,13 +49668,9 @@ "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", @@ -49815,13 +49679,17 @@ "issue:7303", "issue:7408", "issue:8477", + "issue:8493", "issue:8560", + "issue:8738", "issue:8803", "issue:8894", "issue:9218", "issue:9220" ], "soft_pairs": [ + "issue:8493|issue:8738", + "issue:11315|issue:11436", "issue:4269|issue:4615", "issue:6287|issue:8803", "issue:11436|issue:11653", @@ -49846,200 +49714,198 @@ "issue:1755|issue:4042", "issue:5017|issue:6423", "issue:5017|issue:7303", - "issue:2195|issue:3838", - "issue:6095|issue:6096", - "issue:5770|issue:6288" + "issue:2195|issue:3838" ], - "prepared_review_unit_hash": "beae35f301447feb057c07e6c0c8b0d34f4f02439968af0d7cc9ee42ce58f3d3", + "prepared_review_unit_hash": "03903b07fdff4db092d807e9722b29e500d3d55f5665fe844bc48547628aecda", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 27, - "serialized_chars": 34210, - "estimated_input_tokens": 8553, - "estimated_eval_tokens": 17362 + "serialized_chars": 33657, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is highly heterogeneous, and none of the soft-similarity pairs are true duplicates of the same underlying bug or change. Most are related only at a broad subsystem level, not a mergeable duplicate match.", - "confidence": 0.93, - "canonical_issue_reason": "Issue 9220 is the best representative among the set because it is a concrete, actionable PAG bug with a specific traceback; however, there is no strong duplicate cluster and no issue should be treated as a canonical merge target with high confidence.", + "summary": "This set does not form a single duplicate cluster; it contains many unrelated issue reports. All soft-pair candidates are false positives and should be kept separate.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 9220 is the strongest standalone issue here: it names an exact pipeline, an exact failure mode, and is more specific than the adjacent PAG feature request in 9218.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8493", + "right": "issue:8738", + "accept": false, + "reason": "Both concern SD3Transformer2DModel, but one is a state_dict loading error and the other is a configuration issue; similar subsystem, not the same bug." + }, + { + "left": "issue:11315", + "right": "issue:11436", + "accept": false, + "reason": "Both are HiDream dtype-related, but one is a float64 RoPE/MPS failure and the other is a Half vs BFloat16 matmul mismatch; different code paths and symptoms." + }, { "left": "issue:4269", "right": "issue:4615", "accept": false, - "reason": "Both are ControlNet-related import/API problems, but they concern different symbols and different failure modes; not the same bug." + "reason": "Different problems: a TypeError from default args in check_inputs versus an import-name failure for ControlNetPipeline." }, { "left": "issue:6287", "right": "issue:8803", "accept": false, - "reason": "Unrelated issues: one is about packaging dependencies, the other about a duplicate assignment in attention code." + "reason": "One is dependency cleanup in setup.py, the other is a duplicate assignment in attention_processor.py; no duplicate bug/change." }, { "left": "issue:11436", "right": "issue:11653", "accept": false, - "reason": "Different HiDream problems: dtype mismatch during inference vs. LoRA key-format support during loading/training." + "reason": "One reports a runtime dtype mismatch in HiDream inference; the other requests support for .alpha LoRA keys. Different issues." }, { "left": "issue:2453", "right": "issue:5017", "accept": false, - "reason": "General contribution question vs. a specific control mode feature request; not duplicates." + "reason": "General contribution question versus a feature request for control mode in ControlNet; unrelated." }, { "left": "issue:10760", "right": "issue:12606", "accept": false, - "reason": "Both are import issues, but they target different modules and different missing/wrong imports." + "reason": "Both mention imports, but they refer to different scripts and different import failures." }, { "left": "issue:11821", "right": "issue:11878", "accept": false, - "reason": "One is about passing list prompts to WanVACEPipeline; the other is GGUF support for a transformer model. Different bugs." + "reason": "WanVACE prompt-list support and WanVACE GGUF 1.3B loading are distinct issues." }, { "left": "issue:10120", "right": "issue:8560", "accept": false, - "reason": "Both mention memory/OOM, but they are different training setups and different models; too broad to be duplicates." + "reason": "Both mention SD3 training memory/OOM, but one is DreamBooth+SD3 memory consumption and the other is a 4090 OOM during SD3 training; not the same concrete bug." }, { "left": "issue:1076", "right": "issue:321", "accept": false, - "reason": "No shared underlying bug/change; one is a model info/about issue, the other is a blended diffusion feature request." + "reason": "Completely different topics: stable-diffusion-v1-5 discussion versus blended diffusion." }, { "left": "issue:3728", "right": "issue:7408", "accept": false, - "reason": "Both are new pipeline proposals, but they describe different pipelines and use cases." + "reason": "Different proposed pipelines/models: Shifted Diffusion versus FRESCO." }, { "left": "issue:4225", "right": "issue:4406", "accept": false, - "reason": "Both involve loading errors, but one is ControlNet state_dict mismatch and the other is safetensors header corruption; not the same issue." + "reason": "ControlNet state_dict loading errors are not the same as a safetensor header deserialization failure." }, { "left": "issue:2015", "right": "issue:6572", "accept": false, - "reason": "Different pipeline requests: categorical diffusion versus ControlNetXS inpaint pipeline." + "reason": "Categorical diffusion pipeline and ControlNetXS-SDXL-Inpaint-Pipeline are unrelated feature requests." }, { "left": "issue:321", "right": "issue:322", "accept": false, - "reason": "Two separate research ideas with different names and contexts; not the same change." + "reason": "Different diffusion methods/models: Blended Diffusion versus V-Diffusion." }, { "left": "issue:3788", "right": "issue:7408", "accept": false, - "reason": "Different new pipeline requests for different models/tasks; only broadly related to visual generation." + "reason": "UniControl and FRESCO are separate pipeline requests with different functionality." }, { "left": "issue:6444", "right": "issue:6482", "accept": false, - "reason": "Both are DreamBooth/LoRA training issues, but one is a checkpointing AttributeError and the other is a resume/unscale FP16 gradient error." + "reason": "Both are training-script failures, but they are different errors triggered by different conditions." }, { "left": "issue:4232", "right": "issue:5284", "accept": false, - "reason": "Instruct-pix2pix/controlnet training support vs. ControlNet-LLLite support; related area, different concrete requests." + "reason": "Instruct-pix2pix via ControlNet condition is not the same change as ControlNet-LLLite support." }, { "left": "issue:6008", "right": "issue:6393", "accept": false, - "reason": "Different failures: IP-Adapter Plus Face with LCM LoRA vs. private HF download through from_single_file." + "reason": "IP-Adapter/LCM LoRA failure and private HF download failure through from_single_file are unrelated." }, { "left": "issue:9218", "right": "issue:9220", "accept": false, - "reason": "One is a feature request for PAG with guess mode; the other is a specific undefined-variable bug in the PAG pipeline. Related topic, but not the same change." + "reason": "PAG guess-mode support request versus an undefined-variable bug in PAG pipeline code; not the same bug." }, { "left": "issue:1755", "right": "issue:2635", "accept": false, - "reason": "The Arabic placeholder issue and scheduler question are unrelated." + "reason": "General discussion thread versus a scheduler naming question; no duplicate relationship." }, { "left": "issue:8477", "right": "issue:8894", "accept": false, - "reason": "Different training scripts and different errors; not the same underlying bug." + "reason": "Both involve training scripts, but they reference different scripts and likely different distributed-training failures." }, { "left": "issue:1962", "right": "issue:3838", "accept": false, - "reason": "Video generation with stable diffusion and Video Composer are distinct pipeline concepts." + "reason": "Video generation with stable diffusion and Video Composer are distinct topics." }, { "left": "issue:4913", "right": "issue:6042", "accept": false, - "reason": "Different SDXL/openpose ControlNet topic vs. an SVD turbo distillation question." + "reason": "ControlNet OpenPose SDXL model discussion is unrelated to an SDXL-turbo distillation example request." }, { "left": "issue:1755", "right": "issue:4042", "accept": false, - "reason": "No common bug/change; one is a generic/placeholder issue, the other asks about combining reference-only with inpainting and depth control." + "reason": "General thread versus a question about combining reference-only, inpainting, and depth control; not duplicates." }, { "left": "issue:5017", "right": "issue:6423", "accept": false, - "reason": "ControlNet control mode request vs. a fill50k reproducibility problem; unrelated." + "reason": "Control mode request for ControlNet and inability to reproduce fill50k results are unrelated." }, { "left": "issue:5017", "right": "issue:7303", "accept": false, - "reason": "A generic control mode feature request and a scheduler zero_snr question are different changes." + "reason": "Control mode for ControlNet and enabling zero_snr via from_pretrained are unrelated." }, { "left": "issue:2195", "right": "issue:3838", "accept": false, - "reason": "Tune A Video and Video Composer are separate video-related topics, not duplicates." - }, - { - "left": "issue:6095", - "right": "issue:6096", - "accept": false, - "reason": "Same SVD pipeline area, but one is an IndexError in scheduling_euler_discrete and the other is a torch.compile DynamicOutputShapeException; different fixes." - }, - { - "left": "issue:5770", - "right": "issue:6288", - "accept": false, - "reason": "Dataset access blocking an LCM distill example is unrelated to the default learning rate for LCM LoRA training." + "reason": "Tune A Video and Video Composer are different video-generation projects/requests." } ] }, @@ -50061,7 +49927,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10049", "issue:10186", @@ -50078,11 +49944,7 @@ "issue:13065", "issue:13232", "issue:1976", - "issue:2195", - "issue:2822", - "issue:2830", "issue:3113", - "issue:3140", "issue:3698", "issue:3861", "issue:3902", @@ -50097,7 +49959,11 @@ "issue:5227", "issue:5318", "issue:5341", + "issue:5770", + "issue:6095", + "issue:6096", "issue:6161", + "issue:6288", "issue:6393", "issue:8488", "issue:8503", @@ -50112,6 +49978,8 @@ "issue:9147" ], "soft_pairs": [ + "issue:6095|issue:6096", + "issue:5770|issue:6288", "issue:3698|issue:6161", "issue:11560|issue:8975", "issue:12369|issue:13232", @@ -50133,182 +50001,180 @@ "issue:3902|issue:4042", "issue:10737|issue:9141", "issue:10049|issue:12606", - "issue:3113|issue:3902", - "issue:2195|issue:2830", - "issue:2822|issue:3140" + "issue:3113|issue:3902" ], - "prepared_review_unit_hash": "e0de1e0091d550d138fdaddde6b096cf341be588e014d9d0ef5835b9baa7432f", + "prepared_review_unit_hash": "3199a43a3cd07c6b72572d73fe3c994d7a1095c643f01f695f57915984a1b909", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32869, - "estimated_input_tokens": 8218, - "estimated_eval_tokens": 16692 + "serialized_chars": 32876, + "estimated_input_tokens": 8219, + "estimated_eval_tokens": 16694 }, "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 look similar at the title level (many are import errors, pipeline feature requests, or model-specific bugs). None of the proposed soft pairs look like the same underlying defect or change, so they should all be kept separate.", + "summary": "This set is not a true duplicate cluster: the issues span unrelated import errors, pipeline feature requests, training bugs, model-support requests, and documentation/API mismatches. None of the soft pairs look like 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, + "canonical_issue_reason": "No single canonical issue fits this cluster because the items are about different models, different failure modes, and different feature requests rather than one shared problem.", + "canonical_pr_reason": "There are no pull requests in the cluster, so no canonical PR applies.", + "best_issue_reason": "No issue is a good global representative because the topics are too heterogeneous to collapse into one duplicate family.", + "best_pr_reason": "No pull requests are present, so there is no global best PR candidate.", "soft_edge_verdicts": [ + { + "left": "issue:6095", + "right": "issue:6096", + "accept": false, + "reason": "Same pipeline family, but one is an IndexError in scheduling and the other is a torch.compile dynamic shape exception; different code paths and fixes." + }, + { + "left": "issue:5770", + "right": "issue:6288", + "accept": false, + "reason": "Both mention LCM, but one is blocked by dataset access and the other is about an overly small default learning rate; not the same bug." + }, { "left": "issue:3698", "right": "issue:6161", "accept": false, - "reason": "One is about converting an inpainting model to diffusers; the other is a sigma-handling algorithm tweak. Different topics and code paths." + "reason": "One is about converting an inpainting model to Diffusers; the other is about sigma handling in schedulers. Different issues." }, { "left": "issue:11560", "right": "issue:8975", "accept": false, - "reason": "Both mention import problems, but one is a vague generic import error and the other is specifically missing LoraLoaderMixin. Not the same bug." + "reason": "Both are import-related, but they concern different symbols and likely different breakages." }, { "left": "issue:12369", "right": "issue:13232", "accept": false, - "reason": "Separate feature requests for different models (Wan 2.1 CineScale vs LTX-2.3 support)." + "reason": "Different model support requests for different architectures; not the same underlying change." }, { "left": "issue:10893", "right": "issue:13065", "accept": false, - "reason": "Both mention controlnet, but they target different models and different requested capabilities." + "reason": "Both are controlnet feature requests, but for different models and capabilities; too broad to merge as one fix." }, { "left": "issue:10460", "right": "issue:9026", "accept": false, - "reason": "UNet argument mismatch documentation issue vs an unrelated load_checkpoint_and_dispatch TypeError." + "reason": "One missing documented argument in UNet2DModel; the other is an unexpected argument in load_checkpoint_and_dispatch. Unrelated APIs." }, { "left": "issue:5023", "right": "issue:9147", "accept": false, - "reason": "Import error for WuerstchenCombinedPipeline vs Flux autopipeline error. Different pipelines and failures." + "reason": "One is a specific pipeline import error; the other is a Flux auto-pipeline error. Different failure modes." }, { "left": "issue:9001", "right": "issue:9112", "accept": false, - "reason": "Same model family, but one is an aspect-ratio feature request and the other is a tensor shape mismatch error." + "reason": "Both are Auraflow-related, but one is about aspect ratios and the other is a tensor shape mismatch during inference." }, { "left": "issue:4241", "right": "issue:5017", "accept": false, - "reason": "Fine-tuning/PEFT request vs control mode for ControlNet. Different feature areas." + "reason": "A LoRA fine-tuning request and a control mode request are distinct feature areas." }, { "left": "issue:5227", "right": "issue:8518", "accept": false, - "reason": "Both involve torch.compile, but one is a LoRA-weight loading bug and the other is an SD3 dynamo unsupported-op crash." + "reason": "Both involve torch.compile, but one is a LoRA weight-loading bug and the other is an SD3 compile unsupported exception." }, { "left": "issue:10186", "right": "issue:10204", "accept": false, - "reason": "Import error for a missing pipeline class vs quality degradation during iterative inpainting. Different underlying problems." + "reason": "One is an import failure for FluxFillPipeline; the other is a quality degradation issue during iterative inpainting." }, { "left": "issue:8488", "right": "issue:8565", "accept": false, - "reason": "Both are SD3 pipeline issues, but from_pretrained exception and load_lora_weights IndexError are distinct failure modes." + "reason": "Both are SD3-related, but one is a from_pretrained exception and the other is an IndexError in load_lora_weights." }, { "left": "issue:8503", "right": "issue:8511", "accept": false, - "reason": "Gradient checkpointing crash vs text encoders not being unloaded in training scripts. Different bugs." + "reason": "Different SD3 problems: gradient checkpointing crash versus training script not unloading text encoders." }, { "left": "issue:3861", "right": "issue:4250", "accept": false, - "reason": "Both concern from_pretrained, but one is about API naming/usage and the other about incorrect model loading behavior." + "reason": "Both mention from_pretrained, but one is about syntax/API naming and the other about incorrect model loading behavior." }, { "left": "issue:5318", "right": "issue:5341", "accept": false, - "reason": "Both are PEFT-related docs/examples, but one is tutorial coverage and the other is updating scripts to a new API." + "reason": "Both are PEFT documentation/example requests, but they target different tutorial/script updates rather than one concrete fix." }, { "left": "issue:1160", "right": "issue:1976", "accept": false, - "reason": "Test hang/freezing vs wrong tokenizer file lookup. Unrelated issues." + "reason": "A hanging pytest test and a tokenizer/config file lookup error are unrelated." }, { "left": "issue:10658", "right": "issue:12624", "accept": false, - "reason": "onnxruntime provider_options feature request vs Wan image-to-video strength parameter request. Different APIs." + "reason": "One requests provider_options for onnxruntime; the other requests a strength parameter for a video pipeline. Different features." }, { "left": "issue:4524", "right": "issue:5118", "accept": false, - "reason": "AnimateDiff support request vs ControlNet reference_only usage question. Different features." + "reason": "AnimateDiff integration and ControlNet reference-only usage are separate feature requests." }, { "left": "issue:4789", "right": "issue:6393", "accept": false, - "reason": "General DeepFloyd IF download failure vs private HF link failure in from_single_file. Different download paths and causes." + "reason": "Both involve downloads, but one is DeepFloyd IF download failure and the other is private HF link failure via from_single_file; different root causes." }, { "left": "issue:3902", "right": "issue:4042", "accept": false, - "reason": "Control-a-video request vs combining reference-only with inpainting/depth control. Different capabilities." + "reason": "Control-a-video and combining reference-only with inpainting/depth control are different requests." }, { "left": "issue:10737", "right": "issue:9141", "accept": false, - "reason": "Flux encode_image missing image_encoder vs Flux lacking from_single_file. Different missing functionality." + "reason": "Both are FluxPipeline issues, but one lacks image_encoder in encode_image and the other lacks from_single_file; different missing functionality." }, { "left": "issue:10049", "right": "issue:12606", "accept": false, - "reason": "MochiPipeline import problem vs wrong import in a conversion script. Not the same artifact." + "reason": "Both are import-related, but one is about MochiPipeline import and the other is a wrong import in a conversion script." }, { "left": "issue:3113", "right": "issue:3902", "accept": false, - "reason": "Layout control with cross-attention guidance vs control-a-video. Different research/features." - }, - { - "left": "issue:2195", - "right": "issue:2830", - "accept": false, - "reason": "Both are video-related, but one is Tune-A-Video and the other is a question about a different model; no shared concrete bug." - }, - { - "left": "issue:2822", - "right": "issue:3140", - "accept": false, - "reason": "Training convergence complaint vs missing pipeline import error. Different problems." + "reason": "Different control-related research/features with no shared concrete bug or code path." } ] }, @@ -50330,7 +50196,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10421", "issue:10460", @@ -50346,14 +50212,15 @@ "issue:13101", "issue:1594", "issue:1925", + "issue:2195", "issue:2440", "issue:272", "issue:2737", + "issue:2822", "issue:2830", + "issue:3140", "issue:338", - "issue:3431", "issue:3467", - "issue:3566", "issue:3728", "issue:3838", "issue:3902", @@ -50381,6 +50248,8 @@ "issue:9825" ], "soft_pairs": [ + "issue:2195|issue:2830", + "issue:2822|issue:3140", "issue:12060|issue:13101", "issue:1925|issue:2440", "issue:1594|issue:3728", @@ -50404,196 +50273,201 @@ "issue:10467|issue:10526", "issue:4750|issue:6572", "issue:10817|issue:8503", - "issue:5436|issue:5794", - "issue:3431|issue:3566" + "issue:5436|issue:5794" ], - "prepared_review_unit_hash": "1d62c8e95499c3a58d152da7c793e1661146c9a537156157f107b9f7f3ce1b10", + "prepared_review_unit_hash": "1757c7506c0119bbed7a2d973e045a082e689e5364e86f624cc7f32b24ee284f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 25, - "serialized_chars": 32833, - "estimated_input_tokens": 8209, - "estimated_eval_tokens": 16674 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33651, + "estimated_input_tokens": 8413, + "estimated_eval_tokens": 17082 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a loose topical grouping rather than true duplicates. The strongest duplicate-like pair is the FlowMatchEulerDiscreteScheduler bug pair (11749/9331); most other pairs share only a subsystem or feature area, not the same concrete issue.", - "confidence": 0.81, - "canonical_issue_reason": "Issue 11749 is the best anchor because it is a specific, still-open scheduler bug with a clear concrete failure mode, and it has the strongest duplicate-like companion in 9331.", + "summary": "Mostly unrelated Diffusers issues; only a few soft pairs look like true duplicates. No PRs are present, and there is no single umbrella issue for the whole set.", + "confidence": 0.78, + "canonical_issue_reason": "issue:2440 is the clearest duplicate target in the only strong issue family (float16 inpainting load errors), but the overall set is too heterogeneous to have one true canonical.", "canonical_pr_reason": null, - "best_issue_reason": "11749 is the most representative issue here: it is narrowly scoped, technical, and the clearest candidate for a real duplicate relationship within the set.", + "best_issue_reason": "issue:2440 is the best standalone anchor for triage: specific, reproducible, and directly matches the strongest near-duplicate pair.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2195", + "right": "issue:2830", + "accept": false, + "reason": "Different tasks: video generation request vs a ModelScope video-use question." + }, + { + "left": "issue:2822", + "right": "issue:3140", + "accept": false, + "reason": "Training slowdown/error in ControlNet is unrelated to an import failure." + }, { "left": "issue:12060", "right": "issue:13101", "accept": false, - "reason": "Too little evidence of the same bug: 12060 is a DiT-block question, while 13101 has only a generic title and does not ground a matching failure mode." + "reason": "A question about DiT block availability is unrelated to a malformed huggingface issue." }, { "left": "issue:1925", "right": "issue:2440", "accept": true, - "reason": "Both describe the same inpainting float16 loading problem, with only superficial wording differences." + "reason": "Both report inpainting models failing in float16/half precision; same underlying loading/runtime bug." }, { "left": "issue:1594", "right": "issue:3728", "accept": false, - "reason": "Both are video-related, but they ask for different capabilities and do not describe the same defect or change." + "reason": "Img2Img video-generation discussion and a shifted-diffusion text-to-image pipeline request are different changes." }, { "left": "issue:8503", "right": "issue:8507", "accept": false, - "reason": "Same SD3 area, but the titles point to different failures: a gradient-checkpointing crash versus a train_text_encoder failure." + "reason": "Same SD3 area, but gradient-checkpointing crashes and train_text_encoder failures are different bugs." }, { "left": "issue:10421", "right": "issue:12754", "accept": false, - "reason": "Different problems: a CPU memory leak when moving pipelines to multiple GPUs versus default float32 conversion in from_pipe." + "reason": "Multi-GPU memory leak and from_pipe dtype conversion are different problems and code paths." }, { "left": "issue:10950", "right": "issue:9680", "accept": false, - "reason": "Documentation broken versus an SDXL generation bug; no evidence they are the same underlying issue." + "reason": "Broken docs for Accelerate inference and broken SDXL unconditional generation are unrelated." }, { "left": "issue:10421", "right": "issue:12599", "accept": false, - "reason": "Both involve moving pipelines to CUDA/GPU, but one is a leak and the other is slowness; not the same concrete bug." + "reason": "CUDA move slowness is not the same bug as a memory leak when moving pipelines across GPUs." }, { "left": "issue:4305", "right": "issue:5034", "accept": false, - "reason": "Unrelated failure modes: a torch.compile graph break versus a progress-bar display issue." + "reason": "torch.compile graph breaks and checkpoint-loading progress-bar glitches are unrelated." }, { "left": "issue:9148", "right": "issue:9825", "accept": false, - "reason": "Both are FLUX feature requests, but they target different additions: inpainting versus IP-Adapter support." + "reason": "Flux inpainting pipeline support and FLUX IP-Adapter support are separate feature requests." }, { "left": "issue:3467", "right": "issue:4733", "accept": false, - "reason": "Both are resume-related training issues, but they affect different scripts and different failure behaviors." + "reason": "Resume-step bug in ControlNet training is different from the DreamBooth LoRA optimizer-state error." }, { "left": "issue:5314", "right": "issue:9264", "accept": false, - "reason": "Both mention inpainting, but they are separate feature requests for different pipelines/models." + "reason": "ControlNet reference inpainting and Flux inpainting are distinct pipeline requests." }, { "left": "issue:2830", "right": "issue:3838", "accept": false, - "reason": "Both are video-generation requests, but for different models/features; not the same change." + "reason": "A generic video-generation question and a Video Composer request are not the same concrete issue." }, { "left": "issue:11749", "right": "issue:9331", "accept": true, - "reason": "Both point to the same FlowMatchEulerDiscreteScheduler timestep/indexing precision problem." + "reason": "Both describe the same FlowMatchEulerDiscreteScheduler timestep/indexing precision bug." }, { "left": "issue:4972", "right": "issue:5009", - "accept": false, - "reason": "Both are Wuerstchen-related, but the titles indicate different reports and there is not enough evidence of the same bug." + "accept": true, + "reason": "Both are wuerstchen runtime/example failures and appear to be the same underlying issue." }, { "left": "issue:11560", "right": "issue:9062", "accept": false, - "reason": "A generic import error is not the same as a specific missing StableAudioPipeline import." + "reason": "A vague import error is too broad to treat as the same issue as StableAudioPipeline import failure." }, { "left": "issue:272", "right": "issue:338", "accept": false, - "reason": "Feature request versus tests request; same scheduler name, but not the same underlying issue or change." + "reason": "K-LMS inpainting support and LMS-discrete test coverage are different tasks." }, { "left": "issue:10460", "right": "issue:6901", "accept": false, - "reason": "Different artifacts: a UNet2DModel API/doc mismatch versus a Flax scheduler implementation gap." + "reason": "Missing mid_block_type on UNet2DModel is unrelated to missing clip_sample on FlaxDDIMScheduler." }, { "left": "issue:1594", "right": "issue:3902", "accept": false, - "reason": "Both are video-related, but they are separate feature requests with different scope." + "reason": "Img2Img for video generation and control-a-video are different feature requests." }, { "left": "issue:2737", "right": "issue:6866", "accept": false, - "reason": "Different support requests in different areas; no same concrete bug or change." + "reason": "CLIP guidance support and IP-Adapter support are separate feature changes." }, { "left": "issue:4913", "right": "issue:5168", "accept": false, - "reason": "Both are ControlNet-related, but they request different capabilities and are not the same issue." + "reason": "ControlNet-openpose SDXL and ControlNet-XS support are related only broadly, not the same concrete change." }, { "left": "issue:10467", "right": "issue:10526", "accept": false, - "reason": "Both are FLUX FP8 issues, but one concerns example-code output and the other is a specific tensor-construction TypeError." + "reason": "An FP8 example-code artifact issue and a WeightQBytesTensor constructor TypeError are different bugs." }, { "left": "issue:4750", "right": "issue:6572", "accept": false, - "reason": "Both involve inpainting, but they are different pipeline/support requests rather than the same bug." + "reason": "Inpaint + LaMa preprocessor and ControlNetXS-SDXL-Inpaint-Pipeline are different feature requests." }, { "left": "issue:10817", "right": "issue:8503", "accept": false, - "reason": "Different topics: missing SD3 auto-pipeline support versus a gradient-checkpointing crash." + "reason": "SD3 ControlNet support and SD3 gradient-checkpointing crashes are unrelated." }, { "left": "issue:5436", "right": "issue:5794", "accept": false, - "reason": "Both are SDXL/example issues, but one is a training example error and the other is a missing tokenizer config." - }, - { - "left": "issue:3431", - "right": "issue:3566", - "accept": false, - "reason": "Both mention ControlNet/inpainting-related quality issues, but the titles do not indicate the same concrete defect." + "reason": "ControlNet XL training error and missing tokenizer/config.json are different problems." } ] }, "evaluator_result": { - "accept": false, - "feedback": "Several verdict reasons go beyond what is grounded in the packet. For example, `issue:12060` vs `issue:13101` is described as a \u201cvague import/source issue,\u201d but the packet only shows the title `huggingface ` for 13101, so that specific failure mode is not evidenced here. A few other reasons also infer details more strongly than the packet supports. The overall clustering looks broadly conservative, but I can\u2019t accept it because some soft-edge rationales are not tightly grounded in the provided data." + "accept": true, + "feedback": "The summary is grounded in the packet: it correctly characterizes the set as mostly heterogeneous, notes there are no PRs, and only elevates a small number of duplicate-looking issue pairs. The accepted soft-edge verdicts are conservative and align with the issue titles, especially 1925\u21942440, 11749\u21949331, and 4972\u21945009. No clear evidence of overstatement beyond modest inference from titles." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -50609,7 +50483,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10460", "issue:10472", @@ -50619,17 +50493,17 @@ "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:3431", "issue:3451", + "issue:3566", "issue:3958", "issue:4063", "issue:4376", @@ -50642,7 +50516,6 @@ "issue:5109", "issue:5205", "issue:5258", - "issue:5317", "issue:5318", "issue:5320", "issue:5339", @@ -50661,6 +50534,7 @@ "issue:993" ], "soft_pairs": [ + "issue:3431|issue:3566", "issue:5318|issue:5320", "issue:4611|issue:4779", "issue:6681|issue:7178", @@ -50684,200 +50558,192 @@ "issue:12239|issue:9825", "issue:4376|issue:5824", "issue:2618|issue:2822", - "issue:3958|issue:5395", - "issue:1261|issue:2444", - "issue:5317|issue:5318" + "issue:3958|issue:5395" ], - "prepared_review_unit_hash": "8adc4cd38720d429438ae5024ea05396331dcf95f8aaad3edbc7a3b87106d659", + "prepared_review_unit_hash": "8a47365430f4e77200019c22e313de53f69138a2b123deb6dff7d8c6f8653ba4", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 26, - "serialized_chars": 34177, - "estimated_input_tokens": 8545, - "estimated_eval_tokens": 17346 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "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": "The set is mostly a collection of unrelated issues; there is no single cluster-wide duplicate theme. Only two soft pairs look like true duplicates: the SDXL ControlNet LoRA-loading failures and the fp16 dtype-mismatch reports.", - "confidence": 0.89, - "canonical_issue_reason": "No single canonical across the full set; among the clear duplicate pairs, issue 5109 is the best canonical target because it states the concrete failing path (`load_lora_weights` on `StableDiffusionXLControlNetImg2ImgPipeline`) most explicitly.", + "summary": "The set is mostly unrelated issues grouped by loose thematic similarity. I only consider two soft pairs as true duplicates: the fp16 dtype mismatch reports and the StableDiffusionXLControlNetImg2Img LoRA-loading reports.", + "confidence": 0.84, + "canonical_issue_reason": "No single issue cleanly represents the whole heterogeneous set; if one canonical issue must be chosen, #4885 is the clearest concrete bug report and anchors the strongest duplicate pair (#5109) around the same pipeline/LoRA-loading failure.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 5109 is the strongest issue candidate overall: it is specific, reproducible, and clearly describes the same concrete bug as its duplicate partner. The fp16 pair is also a likely duplicate, but 5109 is the clearest canonical target.", + "best_issue_reason": "#4885 is the best issue candidate because it is specific, reproducible, and narrowly scoped to a concrete pipeline bug, making it a strong triage anchor for the matching report in #5109.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3431", + "right": "issue:3566", + "accept": false, + "reason": "Both are ControlNet-related, but they describe different problems and different pipelines; too broad to be the same bug." + }, { "left": "issue:5318", "right": "issue:5320", "accept": false, - "reason": "Different requests: one is for PEFT tutorials, the other is an API enhancement (`adapter_name` in `fuse_lora`)." + "reason": "One is docs/tutorials, the other is a PEFT API change; related topic, but not the same change request." }, { "left": "issue:4611", "right": "issue:4779", "accept": false, - "reason": "Both mention ModelScope/video, but they are different feature requests with no shared concrete bug/change." + "reason": "Both mention ModelScope/video models, but they target different features and are not clearly the same underlying request." }, { "left": "issue:6681", "right": "issue:7178", "accept": false, - "reason": "Same function name, but the titles describe different, too-generic export problems; not enough evidence of the same failure." + "reason": "Same function name, but the reports are too generic to confirm the same concrete export bug." }, { "left": "issue:12221", "right": "issue:13351", "accept": false, - "reason": "Both are ControlNet support requests, but for different model/pipeline combinations." + "reason": "Different model families and different ControlNet support requests; not the same bug or change." }, { "left": "issue:2163", "right": "issue:2466", "accept": false, - "reason": "Unrelated bugs: UNet dtype mismatch during training vs checkpoint retention not limiting." + "reason": "Training dtype mismatch vs checkpoint retention behavior; unrelated issues." }, { "left": "issue:6688", "right": "issue:9303", "accept": false, - "reason": "Separate feature requests for different video models/tools, not the same underlying change." + "reason": "Different feature additions in the video space; no shared code-path bug is evident." }, { "left": "issue:5075", "right": "issue:5258", "accept": false, - "reason": "Both involve SDXL refiner, but the reported failures are different code paths and symptoms." + "reason": "Both involve SDXL/refiner, but one is a prompt-embedding shape error and the other is an inpaint/refiner pipeline issue." }, { "left": "issue:2213", "right": "issue:3451", "accept": false, - "reason": "TPU distributed hang vs fp16 memory regression are different problems." + "reason": "TPU distributed setup hang vs fp16 memory regression; unrelated failures." }, { "left": "issue:10817", "right": "issue:8507", "accept": false, - "reason": "Both are SD3-related, but one is missing control nets and the other is a dreambooth text-encoder training failure." + "reason": "Both are SD3-related, but one is missing auto pipeline support and the other is a DreamBooth training failure." }, { "left": "issue:2985", "right": "issue:5926", "accept": false, - "reason": "Different Kandinsky versions and different requests; not the same bug/change." + "reason": "Different Kandinsky versions and different feature scopes; not duplicates." }, { "left": "issue:10950", "right": "issue:9045", "accept": false, - "reason": "Documentation breakage vs runtime CUDA/accelerate conversion failure are unrelated." + "reason": "Documentation breakage vs runtime device-conversion failure; not the same underlying issue." }, { "left": "issue:5054", "right": "issue:5824", "accept": false, - "reason": "Different SDXL bugs: missing attribute during offload handling vs bad default in `get_add_time_ids()`." + "reason": "Both are SDXL, but they concern different bugs in different methods." }, { "left": "issue:4885", "right": "issue:5109", "accept": true, - "reason": "Same concrete SDXL ControlNet Img2Img LoRA-loading failure; one title is the specific exception report for the same bug." + "reason": "Same pipeline and same LoRA-loading path; one report says weights do not load, the other says the load call raises, which plausibly describes the same bug." }, { "left": "issue:4063", "right": "issue:5205", "accept": false, - "reason": "Textual inversion unloading issue vs a broader repaint/controlnet usage scenario; not the same failure." + "reason": "Textual inversion unload vs inpainting/controlnet usage; different behaviors and code paths." }, { "left": "issue:4888", "right": "issue:5339", "accept": false, - "reason": "Both are about local/offline loading, but one is offline safetensor loading and the other is a local-file load complaint; too broad to merge." + "reason": "Both concern local/offline safetensor loading, but the failure modes are too broad and not clearly the same bug." }, { "left": "issue:775", "right": "issue:993", "accept": true, - "reason": "Both describe the same fp16/dtype mismatch class of failure in Stable Diffusion; the later title is a more explicit restatement." + "reason": "Both describe the same fp16/dtype mismatch class of Stable Diffusion failure, with nearly identical symptom framing." }, { "left": "issue:321", "right": "issue:938", "accept": false, - "reason": "Completely different research/model requests with no shared bug or code path." + "reason": "Completely different model domains: diffusion images vs text-to-motion." }, { "left": "issue:11315", "right": "issue:11653", "accept": false, - "reason": "Both are HiDream-related, but one is an MPS float64 rope bug and the other is about `.alpha` LoRA keys." + "reason": "HiDream RoPE/MPS numeric issue vs LoRA key compatibility; different underlying problems." }, { "left": "issue:12221", "right": "issue:9825", "accept": false, - "reason": "Different feature requests for different pipeline families: DiffSynth ControlNet vs FLUX IPAdapters." + "reason": "Both are feature requests around adapters/controlnets, but they target different model families and capabilities." }, { "left": "issue:10460", "right": "issue:10472", "accept": false, - "reason": "Unrelated issues: missing documented constructor arg vs unexpected `lora_bias` kwarg during inference." + "reason": "A missing model init argument vs an unexpected LoRA keyword argument; unrelated bugs." }, { "left": "issue:12239", "right": "issue:9825", "accept": false, - "reason": "Different feature requests: InfiniteTalk support vs FLUX IPAdapters." + "reason": "InfiniteTalk support vs FLUX IPAdapter support; different features." }, { "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 projection-dimension default bug." + "reason": "Both are SDXL issues, but one is textual inversion loading and the other is a default-dimension bug." }, { "left": "issue:2618", "right": "issue:2822", "accept": false, - "reason": "Image input type handling vs training convergence are unrelated ControlNet problems." + "reason": "Input type handling for ControlNet vs training convergence performance; not the same issue." }, { "left": "issue:3958", "right": "issue:5395", "accept": false, - "reason": "Both involve LoRA/Civitai, but one is offload-related and the other is a LoRA-combining bug in PEFT." - }, - { - "left": "issue:1261", - "right": "issue:2444", - "accept": false, - "reason": "Xformers backward assertion vs a dreambooth script exit error are not the same code-path problem." - }, - { - "left": "issue:5317", - "right": "issue:5318", - "accept": false, - "reason": "Both are documentation-related PEFT items, but one is API documentation and the other is tutorials; not duplicates." + "reason": "Both mention LoRA/Civitai/PEFT, but one is cpu-offload interaction and the other is combining LoRAs; different problems." } ] }, "evaluator_result": { "accept": true, - "feedback": "Grounded and appropriately conservative. The summary matches the packet: most pairs are unrelated, and only the two accepted pairs (4885/5109 and 775/993) have enough title-level overlap to justify likely duplicate treatment. No overstatement or mergeability issue is present." + "feedback": "The summary is grounded in the packet and stays mostly conservative: it avoids collapsing the heterogeneous set into one theme, and the two accepted soft pairs are reasonably supported by closely matching titles/symptoms. No soft-edge verdict looks overstated relative to the available evidence." }, "evaluator_used": true, "retried": false, @@ -50896,17 +50762,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10658", "issue:1083", "issue:10873", - "issue:10897", "issue:1117", "issue:11561", "issue:12338", - "issue:12412", "issue:1255", + "issue:1261", "issue:13477", "issue:1363", "issue:1375", @@ -50917,16 +50782,17 @@ "issue:1919", "issue:1961", "issue:2377", - "issue:2722", + "issue:2444", "issue:2775", "issue:2904", "issue:3565", - "issue:3623", "issue:3788", "issue:460", "issue:4789", "issue:4912", "issue:5008", + "issue:5317", + "issue:5318", "issue:5480", "issue:579", "issue:5835", @@ -50948,6 +50814,8 @@ "issue:989" ], "soft_pairs": [ + "issue:1261|issue:2444", + "issue:5317|issue:5318", "issue:1755|issue:5008", "issue:12338|issue:13477", "issue:7390|issue:8359", @@ -50970,201 +50838,192 @@ "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" + "issue:4912|issue:6161" ], - "prepared_review_unit_hash": "7511e79ccc80649fa884e649fbbb819b0ec3ff00848ad2a211654218bf4c5de9", + "prepared_review_unit_hash": "71afc8ffa10a11591e795aaa98ab6d70558a2dbb0dc22e60cf9e046313620518", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 26, - "serialized_chars": 33959, - "estimated_input_tokens": 8490, - "estimated_eval_tokens": 17236 + "soft_pair_count": 25, + "serialized_chars": 33821, + "estimated_input_tokens": 8456, + "estimated_eval_tokens": 17168 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a noisy similarity cluster: the issues span unrelated bugs, feature requests, and model/pipeline support topics. Only one pair looks like the same underlying feature request around IP-Adapter support for FLUX pipelines.", - "confidence": 0.83, - "canonical_issue_reason": "issue:9825 is the clearest broad representative of the one likely-duplicate feature thread (IP-Adapter support for FLUX pipelines) and is more general than the FluxFill-specific request.", + "summary": "Most candidate pairs are only superficially similar and do not describe the same bug or change. The only likely duplicate is the missing-`datasets` dependency report pair (1463/1919).", + "confidence": 0.72, + "canonical_issue_reason": "Issue 1919 is the better canonical for the `datasets` dependency problem because it identifies the root cause in `requirements.txt`, while 1463 mainly reports the resulting import error.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9825 is the best global representative because it is the broadest, most directly stated problem among the few genuinely related items in the cluster.", + "best_issue_reason": "Issue 1919 is the clearest actionable issue in this set: it states the missing dependency/fix path directly and serves well as the duplicate target for the related import-error report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1261", + "right": "issue:2444", + "accept": false, + "reason": "Different failures: xformers backward kernel assert vs a DreamBooth script exit-status error." + }, + { + "left": "issue:5317", + "right": "issue:5318", + "accept": false, + "reason": "Same broad PEFT area, but one is API docs and the other is tutorials; not the same bug/change." + }, { "left": "issue:1755", "right": "issue:5008", "accept": false, - "reason": "Unrelated topics: a generic Arabic-titled issue vs TryOnDiffusion implementation; no shared bug/change path." + "reason": "Unrelated topics; no shared underlying bug or implementation." }, { "left": "issue:12338", "right": "issue:13477", "accept": false, - "reason": "Both mention bugs, but one is AutoencoderDC slicing/decoding and the other is ErnieImage callback scope; different code paths." + "reason": "VAE slicing/decoding bug vs a callback `locals()` scope bug; different code paths." }, { "left": "issue:7390", "right": "issue:8359", "accept": false, - "reason": "Both involve from_single_file, but one is SDXL ControlNet Inpaint and the other is custom checkpoints; too different to treat as the same bug." + "reason": "Both mention `from_single_file`, but they target different pipeline/custom-checkpoint scenarios and failures." }, { "left": "issue:11561", "right": "issue:9825", - "accept": true, - "reason": "Both request IP-Adapter support for FLUX pipelines; same feature area and plausibly one implementation/PR." + "accept": false, + "reason": "Both involve IP-Adapter/FLUX support, but one is FluxFill-specific and the other is a broader FLUX-pipeline feature request." }, { "left": "issue:1594", "right": "issue:3788", "accept": false, - "reason": "Img2Img video generation vs a new UniControl pipeline request; different features." + "reason": "One asks for img2img video generation; the other requests a new pipeline implementation." }, { "left": "issue:1255", "right": "issue:1375", "accept": false, - "reason": "Import-related, but one is a missing scheduler symbol and the other is a broken import after a PR; not the same concrete issue." + "reason": "Both are import-related, but one is a missing scheduler export and the other is a broader import regression from a PR." }, { "left": "issue:1363", "right": "issue:1407", "accept": false, - "reason": "Different ONNX pipeline failures: long-prompt LMS error vs missing feature_extractor in SD 2.0 ONNX pipeline." + "reason": "Different ONNX problems: long-prompt/LMS scheduler error vs missing `feature_extractor` in an SD2.0 ONNX pipeline." }, { "left": "issue:4789", "right": "issue:7793", "accept": false, - "reason": "DeepFloyd IF download problem vs LoRA unloading error; unrelated." + "reason": "Download failure for DeepFloyd IF vs LoRA unload error; unrelated underlying bugs." }, { "left": "issue:2904", "right": "issue:5835", "accept": false, - "reason": "AudioLDM scheduler NoneType failure vs using pretrained MusicLDM pipeline; not the same bug." + "reason": "AudioLDM scheduler attribute error vs general MusicLDM pipeline usage; not the same concrete issue." }, { "left": "issue:1463", "right": "issue:1919", - "accept": false, - "reason": "Both mention datasets, but one is a missing package import and the other is a requirements.txt omission for a dreambooth example." + "accept": true, + "reason": "Both point to the same missing `datasets` dependency; 1919 names the root cause in `requirements.txt` and 1463 reports the import symptom." }, { "left": "issue:10658", "right": "issue:9610", "accept": false, - "reason": "onnxruntime provider_options support vs adding load_lora_weights to an SD3 img2img pipeline; different changes." + "reason": "ONNXRuntime provider options vs adding LoRA loading to a Stable Diffusion 3 img2img pipeline; different changes." }, { "left": "issue:1083", "right": "issue:460", "accept": false, - "reason": "FP16 ONNX incorrect output vs CPU/GPU onnxruntime dependency selection; different underlying problems." + "reason": "Both are ONNX-related, but one is FP16 output correctness and the other is runtime/provider installation requirements." }, { "left": "issue:10873", "right": "issue:9450", "accept": false, - "reason": "Different pipeline/model issues: SanaPipeline bug vs Flux multi-GPU device placement error." + "reason": "Different pipeline bugs: SanaPipeline issue vs FluxPipeline multi-GPU device placement error." }, { "left": "issue:1117", "right": "issue:2377", "accept": false, - "reason": "Test additions for multiple negative prompts vs EMAModel tests; unrelated." + "reason": "Test-request for multiple negative prompts vs tests for EMAModel; unrelated scope." }, { "left": "issue:5008", "right": "issue:5480", "accept": false, - "reason": "TryOnDiffusion implementation vs EDM implementation request; different model families/features." + "reason": "One is a specific TryOnDiffusion implementation issue; the other is a request for EDM support." }, { "left": "issue:5480", "right": "issue:7380", "accept": false, - "reason": "Both are method requests, but EDM and DMD distillation are different algorithms and would not merge into one PR." + "reason": "Both are model/pipeline feature requests, but they are for different diffusion methods and not the same change." }, { "left": "issue:6234", "right": "issue:8803", "accept": false, - "reason": "train_text_to_image_sdxl example issue vs duplicate hidden_states assignment in attention processor; unrelated." + "reason": "Different problems: SDXL text-to-image example issue vs a duplicate assignment in attention processor code." }, { "left": "issue:6243", "right": "issue:7243", "accept": false, - "reason": "IP-Adapter Face ID vs ResAdapter; different adapter features and code paths." + "reason": "IP-Adapter Face ID support request vs ResAdapter implementation request; different features." }, { "left": "issue:7191", "right": "issue:7490", "accept": false, - "reason": "Generic import problem vs backward-pass problem; no clear overlap." + "reason": "Generic import problem vs a backward-pass problem; too little overlap to be the same bug." }, { "left": "issue:3565", "right": "issue:7012", "accept": false, - "reason": "Training OOM vs v_prediction causing weird images; different failure modes." + "reason": "CUDA OOM during text-to-image training vs weird images with `v_prediction`; different failure modes." }, { "left": "issue:1961", "right": "issue:579", "accept": false, - "reason": "ColossalAI integration error vs missing config.json for textual inversion; unrelated." + "reason": "Different missing-package/import issues and different affected workflows; not the same report." }, { "left": "issue:2775", "right": "issue:989", "accept": false, - "reason": "torch._dynamo.optimize misuse vs embedding weight dimensionality error; unrelated code paths." + "reason": "`torch._dynamo.optimize` non-function error is unrelated to the `weight` must be 2-D runtime error." }, { "left": "issue:4912", "right": "issue:6161", "accept": false, - "reason": "SDXL checkpoint conversion support vs sigma scheduling behavior; different concerns." - }, - { - "left": "issue:2722", - "right": "issue:3623", - "accept": false, - "reason": "ControlNet conversion mismatch vs loading larger models; not the same issue." - }, - { - "left": "issue:12412", - "right": "issue:9825", - "accept": false, - "reason": "HunyuanImage-3.0 support request is unrelated to FLUX IP-Adapter support." - }, - { - "left": "issue:10897", - "right": "issue:9825", - "accept": false, - "reason": "SkyReels-A1 support request is unrelated to FLUX IP-Adapter support." + "reason": "Custom SDXL checkpoint conversion request vs sigma-discard behavior; unrelated changes." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative overall. The only accepted soft pair, issue:11561 with issue:9825, is a plausible shared feature request around IP-Adapter support for FLUX pipelines, while the rejected pairs are appropriately treated as unrelated or too loosely connected. The choice of issue:9825 as the canonical/best representative is also reasonable given its broader wording." + "feedback": "The summary is grounded in the packet and stays conservative. The only positive duplicate call, 1463/1919, is well supported by the titles and issue descriptions (missing `datasets` package vs missing dependency in `requirements.txt`). The other pair verdicts are appropriately cautious given the limited evidence in the packet. " }, "evaluator_used": true, "retried": false, @@ -51183,26 +51042,28 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10883", "issue:10891", + "issue:10897", "issue:11117", "issue:11519", "issue:1156", "issue:12239", + "issue:12412", "issue:1594", - "issue:1633", "issue:2195", "issue:222", "issue:2673", "issue:2676", - "issue:2737", + "issue:2722", "issue:2799", "issue:3178", "issue:3221", "issue:3537", + "issue:3623", "issue:3728", "issue:3817", "issue:4232", @@ -51216,7 +51077,6 @@ "issue:541", "issue:5757", "issue:5998", - "issue:6008", "issue:6016", "issue:6136", "issue:7146", @@ -51228,12 +51088,15 @@ "issue:8837", "issue:8994", "issue:9101", - "issue:9223", "issue:9248", "issue:9680", - "issue:9732" + "issue:9732", + "issue:9825" ], "soft_pairs": [ + "issue:2722|issue:3623", + "issue:12412|issue:9825", + "issue:10897|issue:9825", "issue:4837|issue:6016", "issue:10883|issue:11519", "issue:1594|issue:2195", @@ -51255,188 +51118,195 @@ "issue:4969|issue:9248", "issue:10100|issue:12239", "issue:2673|issue:2799", - "issue:4232|issue:5168", - "issue:6008|issue:9223", - "issue:1633|issue:2737" + "issue:4232|issue:5168" ], - "prepared_review_unit_hash": "70434f8475edcfa987cfb60f17ee1e8908c653afa1d46f4874cda923f57a9f88", + "prepared_review_unit_hash": "2d489d75bf7a2c841a4cb79fb786fce21dfb645a6eef81ee9bab2511cb2e6557", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 32939, - "estimated_input_tokens": 8235, - "estimated_eval_tokens": 16726 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33610, + "estimated_input_tokens": 8403, + "estimated_eval_tokens": 17062 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a noisy mix of unrelated model-support, training, and pipeline bugs; none of the soft pairs look like true duplicates.", - "confidence": 0.95, - "canonical_issue_reason": "No canonical issue stands out: the items span unrelated requests and bugs, and the soft pairs do not share the same underlying change or failure mode.", - "canonical_pr_reason": "No PRs are present in this cluster.", - "best_issue_reason": "No global best issue is suitable; any pick would be arbitrary because the cluster is heterogeneous and not a duplicate set.", - "best_pr_reason": "No PRs to nominate.", + "summary": "The cluster is mostly a collection of unrelated support requests and bug reports. The only close pair is the bf16/half type-mismatch reports, but the available evidence is still only soft similarity rather than a confirmed duplicate/root-cause match.", + "confidence": 0.64, + "canonical_issue_reason": "Issue 10891 is the broadest bfloat16-conversion bug report in the set, so it is the best tentative canonical issue, but the packet does not prove that 11117 is the same root cause.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10891 is the strongest issue candidate for grouping the bf16/half mismatch symptom, though only as a tentative umbrella for a related report rather than a confirmed duplicate.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2722", + "right": "issue:3623", + "accept": false, + "reason": "Both are model-loading/conversion complaints, but they describe different failures and no shared concrete bug is evident." + }, + { + "left": "issue:12412", + "right": "issue:9825", + "accept": false, + "reason": "Separate feature requests for different model/pipeline support; same broad area, not the same change." + }, + { + "left": "issue:10897", + "right": "issue:9825", + "accept": false, + "reason": "Different requested model support items with no shared code-path or bug." + }, { "left": "issue:4837", "right": "issue:6016", "accept": false, - "reason": "Same script family, but different failures (SDXL conversion vs torch.Size shape error); not the same bug." + "reason": "Same conversion script, but the reported failures differ and do not clearly point to one underlying defect." }, { "left": "issue:10883", "right": "issue:11519", "accept": false, - "reason": "Different model support requests: Marigold update vs MAGI-1 support." + "reason": "Different model support/update requests; no common bug or merged change." }, { "left": "issue:1594", "right": "issue:2195", "accept": false, - "reason": "Both are video-generation related, but they ask for different features (img2img video vs Tune-A-Video)." + "reason": "Both concern video generation, but one is img2img video support and the other is Tune-A-Video; not the same artifact." }, { "left": "issue:7146", "right": "issue:9732", "accept": false, - "reason": "Both are OOM training reports, but on different scripts/models and likely different causes." + "reason": "Both mention OOM during training, but they are different training scripts/models and likely different memory issues." }, { "left": "issue:2676", "right": "issue:4524", "accept": false, - "reason": "Scheduler question vs AnimateDiff support request; unrelated changes." + "reason": "A scheduler compatibility question vs. an AnimateDiff integration request; unrelated changes." }, { "left": "issue:8994", "right": "issue:9680", "accept": false, - "reason": "Different generation bugs: steps stuck at 0 vs SDXL unconditional generation broken." + "reason": "Both describe generation problems, but the symptoms and likely code paths are too different to merge as one bug." }, { "left": "issue:10891", "right": "issue:11117", "accept": false, - "reason": "Both involve bfloat16/half conversion, but they affect different pipelines and error paths." + "reason": "The titles suggest a related bf16/half mismatch, but the packet does not provide body evidence tying them to one confirmed duplicate or shared root cause; treat this as soft similarity only." }, { "left": "issue:4702", "right": "issue:9101", "accept": false, - "reason": "Different training-script requests for different models (VQ-VAE vs SD3 InstructPix2Pix)." + "reason": "Both ask for training scripts, but they target different models and training setups." }, { "left": "issue:6136", "right": "issue:7417", "accept": false, - "reason": "Both mention Mac NaNs, but one is StableDiffusionPipeline inference and the other is a lora-fuse test failure." + "reason": "Both involve NaN-related behavior, but one is Mac CPU inference and the other is a LoRA fuse test; not the same bug." }, { "left": "issue:5757", "right": "issue:7322", "accept": false, - "reason": "Same script name, but one is checkpoint-resume failure and the other is SIGKILL during training." + "reason": "Both are training errors, but they concern different scripts, versions, and failure modes." }, { "left": "issue:11117", "right": "issue:8488", "accept": false, - "reason": "Both are SD3Pipeline issues, but one is a dtype mismatch runtime error and the other is a from_pretrained exception." + "reason": "These are different StableDiffusion3Pipeline failures; one is a bf16 mismatch, the other is a from_pretrained exception." }, { "left": "issue:8604", "right": "issue:8837", "accept": false, - "reason": "Different bugs: T5 float16 conversion corruption vs SlicedAttnProcessor behavior." + "reason": "Different bugs in different components: corrupted output from T5 fp16 conversion vs. a sliced attention processor issue." }, { "left": "issue:1156", "right": "issue:222", "accept": false, - "reason": "Both are generic 'training doesn't work' reports, but too vague to confirm a shared root cause." + "reason": "Generic training failures with insufficient evidence of a shared underlying defect." }, { "left": "issue:3537", "right": "issue:541", "accept": false, - "reason": "ControlNet conversion script vs SageMaker deployment; unrelated." + "reason": "A ControlNet conversion script request and a SageMaker support issue are unrelated." }, { "left": "issue:3221", "right": "issue:7350", "accept": false, - "reason": "Both involve UNet/ControlNet loading, but they hit different code paths and failure modes." + "reason": "Different ControlNet/LoRA loading problems with distinct failure contexts." }, { "left": "issue:3178", "right": "issue:5998", "accept": false, - "reason": "Same pipeline family, but 5998 is a specific constructor-arg TypeError while 3178 is a general bug." + "reason": "Same pipeline name, but one is a generic bug report and the other is a specific TyperError; not enough to treat as one change." }, { "left": "issue:4250", "right": "issue:5034", "accept": false, - "reason": "One is incorrect model loading, the other is a progress-bar display issue." + "reason": "Different symptoms: incorrect from_pretrained loading vs. a progress-bar display issue." }, { "left": "issue:3728", "right": "issue:3817", "accept": false, - "reason": "Different new pipeline requests: text-to-image vs dance generation from music." + "reason": "Both are new pipeline requests, but they concern different projects and capabilities." }, { "left": "issue:4969", "right": "issue:9248", "accept": false, - "reason": "ImportError for CrossAttention vs package installation advice; not the same bug." + "reason": "An import error report and a pip install command request are not the same bug." }, { "left": "issue:10100", "right": "issue:12239", "accept": false, - "reason": "Different model support requests: ConsisID vs InfiniteTalk." + "reason": "Separate support requests for different models; only superficial similarity." }, { "left": "issue:2673", "right": "issue:2799", "accept": false, - "reason": "Both concern model/pipeline mismatch, but 2799 is validation behavior while 2673 is an upscale-pipeline failure." + "reason": "One is an upscale pipeline usage error; the other is a request to raise a clearer mismatch error, not the same underlying bug." }, { "left": "issue:4232", "right": "issue:5168", "accept": false, - "reason": "Both mention ControlNet, but one requests instruct-pix2pix code and the other ControlNet-XS support." - }, - { - "left": "issue:6008", - "right": "issue:9223", - "accept": false, - "reason": "Unrelated: IP-Adapter/LCM LoRA failure vs Python dependency conflict." - }, - { - "left": "issue:1633", - "right": "issue:2737", - "accept": false, - "reason": "Different scheduler feature requests: karras sigmas vs CLIP guidance." + "reason": "Both involve ControlNet-related work, but one is instruct-pix2pix training/inference and the other is ControlNet-XS support." } ] }, - "evaluator_result": null, - "evaluator_used": false, - "retried": false, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative on the unrelated pairs, but it overreaches on issue:10891 vs issue:11117. The packet does not provide body evidence linking them, and the soft-pair metadata marks that pair as deterministic_accept=false. Based on the available information, this should be treated as at most a plausible soft similarity, not a confirmed duplicate/root-cause match." + }, + "evaluator_used": true, + "retried": true, "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null @@ -51452,7 +51322,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10150", "issue:10737", @@ -51468,10 +51338,11 @@ "issue:1305", "issue:13279", "issue:1375", + "issue:1633", + "issue:2737", "issue:3043", "issue:3171", "issue:3325", - "issue:3630", "issue:3725", "issue:4063", "issue:4213", @@ -51483,11 +51354,11 @@ "issue:4496", "issue:457", "issue:4598", - "issue:4747", "issue:4849", "issue:4912", "issue:4978", "issue:541", + "issue:6008", "issue:7569", "issue:760", "issue:761", @@ -51496,13 +51367,14 @@ "issue:9063", "issue:911", "issue:9161", + "issue:9223", "issue:9450", - "issue:9539", "issue:9861", - "issue:9895", "issue:9936" ], "soft_pairs": [ + "issue:6008|issue:9223", + "issue:1633|issue:2737", "issue:761|issue:911", "issue:11374|issue:12695", "issue:3171|issue:4496", @@ -51524,182 +51396,180 @@ "issue:11642|issue:9861", "issue:9161|issue:9936", "issue:10737|issue:9450", - "issue:4390|issue:4598", - "issue:9539|issue:9895", - "issue:3630|issue:4747" + "issue:4390|issue:4598" ], - "prepared_review_unit_hash": "8b10405744a2f97bcb91a4b8bc9aeef1109c804ab43c22baed8668074f5d54fe", + "prepared_review_unit_hash": "31b130d70af874938b81ba1a3deedb1e5309014c667679f62aa568353af0ec65", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33143, - "estimated_input_tokens": 8286, - "estimated_eval_tokens": 16828 + "serialized_chars": 33086, + "estimated_input_tokens": 8272, + "estimated_eval_tokens": 16800 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is mostly heterogeneous. The soft links are driven by shared keywords like Flux, SDXL, MPS, from_single_file, or training scripts, but they mostly describe different bugs, features, or support requests rather than the same underlying change.", - "confidence": 0.95, - "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated bugs, feature requests, and support questions, so there is no clear duplicate target for the cluster.", + "summary": "The cluster is only loosely related by diffusion pipelines and transformer/loader issues, but the paired items are not the same underlying bug or change. Most are different pipelines, different hardware backends, or distinct feature requests, so none of the soft edges should be merged.", + "confidence": 0.31, + "canonical_issue_reason": "Issue #12754 is the clearest self-contained API bug in the set and is broadly representative of the pipeline-loading/casting theme, but the cluster overall is heterogeneous rather than a true duplicate set.", "canonical_pr_reason": null, - "best_issue_reason": "No issue is a good global representative for deduping this set; the apparent similarities are mostly superficial and do not point to one shared code-path problem.", + "best_issue_reason": "Issue #12754 is the strongest representative issue because it describes a specific, actionable regression in core pipeline behavior with clear expected-vs-actual semantics.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6008", + "right": "issue:9223", + "accept": false, + "reason": "Different problems: IP-Adapter/LCM face integration failure vs dependency/version conflict around pyarrow; unrelated symptoms and code paths." + }, + { + "left": "issue:1633", + "right": "issue:2737", + "accept": false, + "reason": "Both mention scheduler/features, but one is karras sigmas in a wrapper pipeline and the other is CLIP guidance support; different changes and APIs." + }, { "left": "issue:761", "right": "issue:911", "accept": false, - "reason": "Both are DreamBooth-related, but one is an 8-bit Adam training failure and the other is a bad-config regression; different problems." + "reason": "Both are DreamBooth-related, but one is an 8-bit Adam training failure and the other is a bad config regression; not the same bug." }, { "left": "issue:11374", "right": "issue:12695", "accept": false, - "reason": "Both are feature requests for model support, but they target different models and integrations (SkyReels-V2 vs Hunyuan v1.5)." + "reason": "SkyReels-V2 support and Hunyuan v1.5 support are separate model-integration feature requests, not the same change." }, { "left": "issue:3171", "right": "issue:4496", "accept": false, - "reason": "Both mention prompt-related ideas, but one is LPW for ControlNet and the other is prompt fusion; not the same feature." + "reason": "LPW prompt support for ControlNet and prompt fusion are different prompt-handling features with no shared concrete bug." }, { "left": "issue:4450", "right": "issue:4849", "accept": false, - "reason": "One is a multi-textual-inversion example not working, the other is a question about multi-GPU textual inversion training." + "reason": "Multi textual inversion example failure and multi-GPU textual inversion training are unrelated issues despite both involving textual inversion." }, { "left": "issue:4232", "right": "issue:4978", "accept": false, - "reason": "These are different pipeline/conditioner requests: instruct-pix2pix with ControlNet vs inpaint_global_harmonious preprocessing." + "reason": "Instruct-pix2pix with ControlNet vs inpaint_global_harmonious preprocessor usage are different pipeline/preprocessor topics." }, { "left": "issue:12599", "right": "issue:13279", "accept": false, - "reason": "Both involve loading/moving models, but one is slow CUDA transfer performance and the other is an older-transformers loading error for AutoencoderRAE." + "reason": "Extremely slow CUDA move after loading vs AutoencoderRAE loading error with older transformers are different loading/runtime problems." }, { "left": "issue:4912", "right": "issue:541", "accept": false, - "reason": "A checkpoint-conversion request and a SageMaker deployment topic are unrelated." + "reason": "Custom SDXL checkpoint conversion and SageMaker support are separate workflow/environment requests, not the same bug or change." }, { "left": "issue:10795", "right": "issue:12728", "accept": false, - "reason": "Both mention torch.compile, but they hit different model families and different failures; not the same concrete bug." + "reason": "torch.compile on GGUF-loaded transformer models and Wan 2.2 compile/channels_last failures are distinct compiler/model-path issues." }, { "left": "issue:10737", "right": "issue:9063", "accept": false, - "reason": "Both are FluxPipeline issues, but one is missing image_encoder in encode_image while the other is tokenizer instantiation from a slow version." + "reason": "Missing image_encoder in FluxPipeline encode_image and tokenizer instantiation failure in FluxPipeline are different failures in different components." }, { "left": "issue:10150", "right": "issue:12754", "accept": false, - "reason": "One is slow SDXL loading/inference, the other is from_pipe forcing float32; related area, but different bugs." + "reason": "SDXL slow loading/inference is a performance complaint, while from_pipe float32 conversion is a dtype regression; not the same bug." }, { "left": "issue:1305", "right": "issue:4063", "accept": false, - "reason": "Direct Inversion is a new method request, while the other is unloading a textual inversion checkpoint; different features." + "reason": "Direct Inversion and unloading a textual inversion checkpoint are different features in the inversion/textual-inversion area, not duplicates." }, { "left": "issue:1263", "right": "issue:1375", "accept": false, - "reason": "Both are import-related, but one is a specific safety-checker import error and the other is a broad package import breakage from a PR." + "reason": "Importing StableDiffusionSafetyChecker and a PR breaking diffusers import are different import failures with different root causes." }, { "left": "issue:3725", "right": "issue:4302", "accept": false, - "reason": "Both involve LoRA loading, but they concern different setups and failures; not clearly the same code-path issue." + "reason": "A1111 LoRA support failure and SDXL LoRA loading compatibility are both LoRA-related, but they are distinct compatibility problems." }, { "left": "issue:1188", "right": "issue:3043", "accept": false, - "reason": "Both are pipeline feature requests, but CLIPSeg x Stable Diffusion and ODISE are distinct integrations." + "reason": "CLIPSeg x Stable Diffusion pipeline request and ODISE pipeline request are separate model integrations, not one change." }, { "left": "issue:4480", "right": "issue:7569", "accept": false, - "reason": "Both are Mac/MPS-related, but one is a float16 generation kernel crash and the other is a FreeU test failure." + "reason": "Both are Mac/MPS-related, but one is a kernel crash during generation and the other is a failing test for FreeU; different concrete bugs." }, { "left": "issue:4213", "right": "issue:8435", "accept": false, - "reason": "Both mention from_single_file, but one is about missing accelerate support and the other is a generic runtime error." + "reason": "Both concern from_single_file, but one is specifically SD-XL without accelerate and the other is a generic runtime error; too broad to treat as the same bug." }, { "left": "issue:3325", "right": "issue:7646", "accept": false, - "reason": "Both are training-script issues, but they affect different scripts and different failure modes." + "reason": "CUDA invalid-argument during DreamBooth training and dataloader_num_workers questions in a LoRA script are not the same underlying issue." }, { "left": "issue:457", "right": "issue:760", "accept": false, - "reason": "Both are MPS rendering problems, but the symptoms differ and there is no clear shared concrete bug." + "reason": "Both are MPS-related, but one reports blue artifacts and the other unexpected StableDiffusionPipeline output; different symptoms and likely causes." }, { "left": "issue:11642", "right": "issue:9861", "accept": false, - "reason": "Both are Flux-related, but one is prompt_embeds_scale having no effect and the other is training not updating the transformer model." + "reason": "prompt_embeds_scale having no effect in FluxPriorReduxPipeline and Flux training not updating the transformer are unrelated Flux issues." }, { "left": "issue:9161", "right": "issue:9936", "accept": false, - "reason": "Both involve distributed Flux training, but the scripts and symptoms differ (general distributed bugs vs NCCL timeout)." + "reason": "Distributed bugs in train_dreambooth_lora_flux.py and NCCL timeout in train_controlnet_flux.py are different multi-GPU training failures." }, { "left": "issue:10737", "right": "issue:9450", "accept": false, - "reason": "Both are FluxPipeline problems, but one is encode_image missing image_encoder and the other is a multi-GPU device mismatch." + "reason": "Both are FluxPipeline issues, but one is a missing image encoder and the other is a multi-GPU device placement error; different code paths." }, { "left": "issue:4390", "right": "issue:4598", "accept": false, - "reason": "A missing-requirements report and a complaint about uninformative dependency errors are related only at a very high level." - }, - { - "left": "issue:9539", - "right": "issue:9895", - "accept": false, - "reason": "Different pipelines, different model dtypes, and different runtime errors; not the same underlying bug." - }, - { - "left": "issue:3630", - "right": "issue:4747", - "accept": false, - "reason": "These are unrelated: an Unknown error in UNet2DModel versus a missing model_index.json after loading SDXL LoRA." + "reason": "Missing requirements and uninformative missing-dependency errors are both dependency-related, but one is a packaging issue and the other is an error-message improvement." } ] }, @@ -51721,7 +51591,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1076", "issue:1082", @@ -51747,11 +51617,11 @@ "issue:3348", "issue:3406", "issue:3451", - "issue:3624", + "issue:3630", "issue:4186", "issue:4232", - "issue:4269", "issue:4445", + "issue:4747", "issue:4949", "issue:5002", "issue:5118", @@ -51769,10 +51639,12 @@ "issue:9063", "issue:9142", "issue:938", - "issue:9576", - "issue:9660" + "issue:9539", + "issue:9895" ], "soft_pairs": [ + "issue:9539|issue:9895", + "issue:3630|issue:4747", "issue:10952|issue:9142", "issue:1082|issue:1608", "issue:2722|issue:743", @@ -51784,7 +51656,6 @@ "issue:9025|issue:9039", "issue:2579|issue:3348", "issue:8507|issue:8511", - "issue:9576|issue:9660", "issue:3171|issue:6141", "issue:4445|issue:8780", "issue:11133|issue:13034", @@ -51796,187 +51667,186 @@ "issue:200|issue:3406", "issue:322|issue:938", "issue:8939|issue:9063", - "issue:3451|issue:7646", - "issue:3624|issue:4269" + "issue:3451|issue:7646" ], - "prepared_review_unit_hash": "9647b0bd9eab3ecf2dc89b418be81a5fadfc627ccc7d2bb8af056befc8e61fca", + "prepared_review_unit_hash": "59c655620b7cd9d9ad83b8e06f1166dedf336e7c57adc9b32860eb5e7bacce79", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34232, - "estimated_input_tokens": 8558, - "estimated_eval_tokens": 17372 + "serialized_chars": 34309, + "estimated_input_tokens": 8578, + "estimated_eval_tokens": 17412 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No soft pair looks like a true duplicate; most are related only at a broad subsystem level (training, loading, offloading, ControlNet, SDXL, etc.) rather than the same concrete bug. The strongest standalone issue is the open offloading regression report.", - "confidence": 0.93, - "canonical_issue_reason": "issue:13488 is the clearest current, broadly scoped bug report: a concrete diffusers regression that breaks offloading, with enough detail to be actionable.", + "summary": "This cluster is not a true duplicate set. The items span many unrelated issues across different pipelines, schedulers, training scripts, loading paths, and model families; the proposed soft edges mostly share only generic error wording or a broad subsystem name.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue fits this cluster: the items are too heterogeneous to represent one underlying bug or change.", "canonical_pr_reason": null, - "best_issue_reason": "issue:13488 is the most suitable representative issue because it describes a specific regression, is open, and has broader impact than the more niche model- or script-specific reports.", + "best_issue_reason": "No global best issue for the whole cluster; at most, a few offloading-related items form a loose subtheme, but they are still not the same concrete failure.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:9539", + "right": "issue:9895", + "accept": false, + "reason": "Both mention device-mismatch failures, but they are different pipelines and contexts (CogVideoX image-to-video float8 issue vs FluxPipeline offloading regression)." + }, + { + "left": "issue:3630", + "right": "issue:4747", + "accept": false, + "reason": "Both are loading/runtime errors, but one is an unknown UNet2DModel error and the other is a missing model_index.json when loading fine-tuned SDXL LoRA." + }, { "left": "issue:10952", "right": "issue:9142", "accept": false, - "reason": "Both mention adapter/control loading errors, but they hit different pipelines and different failure modes; not the same bug." + "reason": "These are different adapter/loading bugs: missing LoRA adapter name in SDXLLongPromptWeightingPipeline vs multi-controlnet type error in Hunyuan DiT." + }, + { + "left": "issue:11050", + "right": "issue:11182", + "accept": false, + "reason": "One is a bf16/fp16 dtype-casting bug in a training script; the other is an unnecessary BF16 variant download during model loading." }, { "left": "issue:1082", "right": "issue:1608", "accept": false, - "reason": "Both are training failures, but one is a CUDA cublas error in DreamBooth and the other is a step-count stop on T4; different issues." + "reason": "Both are training failures, but the concrete problems differ: cublasLtMatmul execution failure vs training stopping at 500 steps on T4." }, { "left": "issue:2722", "right": "issue:743", "accept": false, - "reason": "Both involve conversion workflows, but one is a ControlNet UNet mismatch after conversion and the other is a ckpt-to-diffusers conversion failure; not the same code path." + "reason": "Both involve conversion, but they are not the same bug: ControlNet UNet mismatch after conversion vs general ckpt-to-diffusers conversion failure." }, { "left": "issue:4186", "right": "issue:5258", "accept": false, - "reason": "Both involve SDXL and a refiner, but one is plain inpaint with refiner and the other is ControlNet inpaint with refiner; too different to merge." + "reason": "Both mention SDXL inpaint/refiner, but one is inpainting not working with refiner and the other is a ControlNet inpaint/refiner combination." }, { "left": "issue:4232", "right": "issue:5118", "accept": false, - "reason": "Both reference ControlNet usage, but one is instruct-pix2pix training/inference and the other is reference_only usage; different features and bugs." + "reason": "These are different ControlNet-related questions/features (instruct-pix2pix with controlnet condition vs reference_only usage)." }, { "left": "issue:2195", "right": "issue:4949", "accept": false, - "reason": "Different video-model topics: Tune-A-Video vs ProPainter in/outpainting. No shared concrete bug." + "reason": "Unrelated video-model topics: Tune-A-Video vs ProPainter in/outpainting for video." }, { "left": "issue:2439", "right": "issue:3103", "accept": false, - "reason": "One is an inpainting pipeline loading/running issue; the other is about inpainting height/width parameters. Different problems." + "reason": "Both are inpainting-related, but one is loading/running the inpainting pipeline and the other is a height/width parameter issue." }, { - "left": "issue:11050", - "right": "issue:11182", + "left": "issue:8507", + "right": "issue:8511", "accept": false, - "reason": "Training dtype casting in SD3 ControlNet is unrelated to an unnecessary BF16 variant download." + "reason": "Both touch SD3 training scripts, but the failures differ: text encoder training fails vs text encoders not being unloaded." }, { "left": "issue:9025", "right": "issue:9039", "accept": false, - "reason": "Both are FlaxStableDiffusionPipeline questions, but one is from_single_file loading and the other is LoRA loading; different code paths." + "reason": "Different Flax pipeline operations: from_single_file on Kaggle TPU VM vs load_lora_weights." }, { "left": "issue:2579", "right": "issue:3348", "accept": false, - "reason": "Both mention xFormers/LoRA, but one is a general xFormers bug/misuse report and the other is about scale parameter support for LoRA with xFormers." - }, - { - "left": "issue:8507", - "right": "issue:8511", - "accept": false, - "reason": "Both are SD3 training-related, but one is a train_text_encoder failure and the other is a missing unload of text encoders; related area, not the same bug." - }, - { - "left": "issue:9576", - "right": "issue:9660", - "accept": false, - "reason": "Both are pipeline-loading behaviors, but one concerns use_safetensors propagation and the other evaluation mode setup; distinct fixes." + "reason": "Both reference xFormers, but one is a possible xFormers bug/misuse and the other is a feature request for LoRA scale support with xFormers." }, { "left": "issue:3171", "right": "issue:6141", "accept": false, - "reason": "Both are ControlNet feature requests, but they ask for different parameters and different behaviors." + "reason": "These are separate ControlNet feature requests: LPW prompt support vs control_mode/resize_mode parameters." }, { "left": "issue:4445", "right": "issue:8780", "accept": false, - "reason": "A general how-to LoRA question is unrelated to a model/input dtype mismatch bug." + "reason": "A how-to question about LoRA finetuning is not the same as a dtype mismatch bug between model and input data." }, { "left": "issue:11133", "right": "issue:13034", "accept": false, - "reason": "Both are about Wan/CogVideoX-style pipelines, but one is a generic image-to-video bug and the other is specifically height/width handling in WanPipeline." + "reason": "Different pipelines and failures: CogVideoX image-to-video bug vs WanPipeline height/width behavior." }, { "left": "issue:1076", "right": "issue:322", "accept": false, - "reason": "Completely unrelated topics: Stable Diffusion v1.5 discussion vs V-Diffusion." + "reason": "Completely unrelated: Stable Diffusion v1-5 discussion vs V-Diffusion model topic." }, { "left": "issue:12052", "right": "issue:13488", "accept": false, - "reason": "Both mention offloading, but 12052 is a model-specific device-mismatch failure in Wan 2.2 while 13488 is a broader diffusers offloading regression." + "reason": "Both involve offloading, but the reports are not the same concrete bug: Wan 2.2 LightX2V device-mismatch failure vs a broader diffusers-0.38.0.dev0 offloading regression." }, { "left": "issue:3094", "right": "issue:7646", "accept": false, - "reason": "OOM during text-to-image finetuning is unrelated to dataloader worker configuration in a LoRA script." + "reason": "Different training concerns: OOM during finetuning vs dataloader_num_workers behavior in a LoRA training script." }, { "left": "issue:5002", "right": "issue:6901", "accept": false, - "reason": "Different scheduler API gaps: missing use_karras_sigmas vs missing clip_sample." + "reason": "Both are scheduler API gaps, but they affect different methods and classes: use_karras_sigmas vs clip_sample." }, { "left": "issue:1367", "right": "issue:2843", "accept": false, - "reason": "One is about saving scheduler config with custom betas; the other is multi-GPU checkpoint saving. Not the same issue." + "reason": "Saving scheduler config with custom trained_betas is unrelated to multi-GPU checkpoint saving." }, { "left": "issue:200", "right": "issue:3406", "accept": false, - "reason": "A test placeholder and an attention bug for only_cross_attention are unrelated." + "reason": "A resnet test request is unrelated to an attention-class bug with only_cross_attention=True." }, { "left": "issue:322", "right": "issue:938", "accept": false, - "reason": "Different model families and tasks: V-Diffusion vs Human Motion Diffusion." + "reason": "Different model-family topics with no shared concrete bug or fix." }, { "left": "issue:8939", "right": "issue:9063", "accept": false, - "reason": "Both are tokenizer-loading errors, but they affect different pipelines/models and different tokenizer conversion paths." + "reason": "Both are tokenizer/loading errors, but they involve different models and failure modes, so they are not the same issue." }, { "left": "issue:3451", "right": "issue:7646", "accept": false, - "reason": "FP16 memory regression and dataloader worker settings are unrelated training issues." - }, - { - "left": "issue:3624", - "right": "issue:4269", - "accept": false, - "reason": "Both are TypeErrors, but the underlying causes and affected APIs are different." + "reason": "Both are training-script questions, but fp16 memory usage and dataloader_num_workers are unrelated problems." } ] }, @@ -51998,7 +51868,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10144", "issue:10336", @@ -52013,21 +51883,21 @@ "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:3624", "issue:3728", "issue:3884", "issue:3944", + "issue:4269", "issue:4686", "issue:4839", "issue:5128", @@ -52050,6 +51920,7 @@ "issue:9166" ], "soft_pairs": [ + "issue:3624|issue:4269", "issue:3944|issue:5605", "issue:10883|issue:7243", "issue:10658|issue:11700", @@ -52068,192 +51939,194 @@ "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" ], - "prepared_review_unit_hash": "e969e650627318a98191b4e32dece5ee1a8f65fb5d763e464acb13b3bfecc1d9", + "prepared_review_unit_hash": "e2f02a6ef58f75fab5ea4be8bda3f514975d3841a8f9151cac6f8e12f33ce581", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34047, - "estimated_input_tokens": 8512, - "estimated_eval_tokens": 17280 + "serialized_chars": 34063, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The candidate pairs are only superficially similar; they span different models, pipelines, and bug types. I do not see a true duplicate cluster here, so there is no good canonical issue or PR.", - "confidence": 0.98, - "canonical_issue_reason": null, + "summary": "This cluster is mostly a false-positive similarity set: the items span unrelated models, pipelines, training scripts, and API bugs. I only accept the pairs that look like the same fp16/attention-slicing code-path issue.", + "confidence": 0.88, + "canonical_issue_reason": "No single issue is a safe canonical for the whole set: the items span many unrelated bugs, features, and model families.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "No issue cleanly represents the whole cluster for deduping; any single choice would collapse unrelated topics.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3624", + "right": "issue:4269", + "accept": false, + "reason": "Both mention TypeError, but they concern different pipeline paths and different failure causes." + }, { "left": "issue:3944", "right": "issue:5605", "accept": false, - "reason": "Both are DreamBooth-related, but one asks for LoRA network rank customization and the other for per-image caption support; different feature requests." + "reason": "Same DreamBooth area, but one is about LoRA rank customization and the other about per-image captions; different changes." }, { "left": "issue:10883", "right": "issue:7243", "accept": false, - "reason": "Different topics entirely: SanaPipeline failure vs ResAdapter proposal." + "reason": "Both are model/pipeline issues, but they refer to different models and different problem types." }, { "left": "issue:10658", "right": "issue:11700", "accept": false, - "reason": "One requests an ORT session parameter, the other is about Pruna loading integration; not the same code-path." + "reason": "Both touch loading/integration, but one is about onnxruntime session options and the other about Pruna pipeline loading; not the same bug." }, { "left": "issue:10144", "right": "issue:12666", "accept": false, - "reason": "Mochi video quality concern vs Kandinsky 5.0 pipeline availability; unrelated products and problems." + "reason": "Both are video-related, but they involve different models and unrelated failure modes." }, { "left": "issue:8500", "right": "issue:8588", "accept": false, - "reason": "SD3 token limit question vs missing conversion script; different issue classes." + "reason": "Both are SD3-related, but one is a token-limit question and the other is a missing conversion script." }, { "left": "issue:1082", "right": "issue:713", "accept": false, - "reason": "Both are training failures, but the reported errors and likely causes are different and not the same bug." + "reason": "Training errors are too generic here; the reported failures and contexts are not the same." + }, + { + "left": "issue:10460", + "right": "issue:10848", + "accept": false, + "reason": "Both are API mismatch problems, but they concern different functions and different call sites." }, { "left": "issue:1478", "right": "issue:4686", "accept": false, - "reason": "Upscale pipeline multi-image output bug vs loading a saved pipeline; distinct behaviors." + "reason": "Same pipeline class, but one is about multi-image output and the other about loading a saved pipeline; different bugs." }, { "left": "issue:10653", "right": "issue:10710", "accept": false, - "reason": "bitsandbytes `.to()` limitation for HunyuanVideoTransformer3DModel vs support for DDUF format; unrelated." + "reason": "Completely different subjects: quantized model movement vs DDUF support." }, { "left": "issue:3728", "right": "issue:7333", "accept": false, - "reason": "New text-to-image pipeline request vs image-to-video noise rectification paper/pipeline; not duplicates." - }, - { - "left": "issue:10460", - "right": "issue:10848", - "accept": false, - "reason": "Missing documented `mid_block_type` argument in UNet2DModel vs unexpected `device` kwarg in `load_model_dict_into_meta`." + "reason": "Both are diffusion research/pipeline topics, but they are different requested methods and not the same change." }, { "left": "issue:1405", "right": "issue:1552", - "accept": false, - "reason": "Both involve attention slicing, but one is a broken API on main and the other is a specific Stable Diffusion 2 incompatibility." + "accept": true, + "reason": "These both point to the same attention-slicing bug: `enable_attention_slicing()` failing in practice, with SD2 as a concrete manifestation." }, { "left": "issue:660", "right": "issue:775", - "accept": false, - "reason": "Both mention fp16/MPS-type problems, but they describe different runtime contexts and failure modes." + "accept": true, + "reason": "Both describe the same fp16-on-MPS failure class; one is a specific M1 report, the other a broader fp16/autocast complaint." }, { "left": "issue:1099", "right": "issue:2392", "accept": false, - "reason": "DreamBooth class-name handling vs `prompt_embeds` validation in Img2Img; different arguments and code paths." + "reason": "Different DreamBooth/pipeline errors with no shared failing code path." }, { "left": "issue:8759", "right": "issue:9166", "accept": false, - "reason": "Both concern image processing behavior, but one is a runtime warning in SD3 casting and the other is unexpected overlay behavior." + "reason": "Both involve image processing, but one is an SD3 cast warning and the other is overlay behavior; not the same bug." }, { "left": "issue:10608", "right": "issue:11396", "accept": false, - "reason": "Multi-GPU HunyuanVideo pipeline failure vs converting HiDream LoRA for ComfyUI; unrelated." + "reason": "Unrelated: multi-GPU HunyuanVideo pipeline execution vs LoRA format conversion question." }, { "left": "issue:6503", "right": "issue:6891", "accept": false, - "reason": "Torch.compile compatibility for training scripts vs model card utility refactor; different maintenance tasks." + "reason": "Both are training-script tracker items, but they target different utility updates and code changes." }, { "left": "issue:5128", "right": "issue:6357", "accept": false, - "reason": "Local safetensors loading failure vs differences between API and local results; not the same underlying bug." + "reason": "Different problems: loading a local safetensors file vs API/local result discrepancies." }, { "left": "issue:12009", "right": "issue:12037", "accept": false, - "reason": "Single-file GGUF loading failure vs Lightx2v LoRA compatibility; both Wan-related but different problems." - }, - { - "left": "issue:11247", - "right": "issue:13176", - "accept": false, - "reason": "Different models and failures: FluxTransformer2DModel multi-GPU/controlnet vs UNet2DConditionModel attention error." + "reason": "Same Wan 2.2 family, but one is a GGUF loading/meta-tensor issue and the other is LoRA compatibility; not mergeable as one fix." }, { "left": "issue:2830", "right": "issue:5205", "accept": false, - "reason": "General question about image/text-to-video with ModelScope vs repaint + ControlNet workflow; not duplicates." + "reason": "Different use cases and pipelines; no shared underlying bug." }, { "left": "issue:11117", "right": "issue:8565", "accept": false, - "reason": "SD3 dtype mismatch runtime error vs SD3 LoRA loading IndexError; distinct bugs." + "reason": "Both are SD3 pipeline issues, but one is a dtype mismatch runtime error and the other is a LoRA loading IndexError." }, { "left": "issue:10336", "right": "issue:10873", "accept": false, - "reason": "Sana activation explosion/clamping issue vs a specific SanaPipeline issue on a particular model checkpoint; not the same symptom." + "reason": "Both are Sana-related, but the reported failures are different and do not clearly share one code path." }, { "left": "issue:5573", "right": "issue:5997", "accept": false, - "reason": "ControlNet weight initialization slowness vs SDXL tutorial text/config error; unrelated." + "reason": "ControlNet-related, but one is weight initialization timing and the other is an SDXL tutorial/model-type error." }, { "left": "issue:3884", "right": "issue:4839", "accept": false, - "reason": "Training script error vs lora_scale type error; both are training-related but different failures." + "reason": "Both mention LoRA, but one is a training-script error and the other is a `lora_scale` type issue; different fixes." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative: it treats the cluster as mostly unrelated and only accepts the two genuinely plausible same-bug pairs (attention slicing; fp16/MPS). The reject reasons are cautious and aligned with the titles, without overclaiming shared root causes." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -52265,10 +52138,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10045", "issue:10111", @@ -52347,12 +52220,12 @@ ], "prepared_review_unit_hash": "570589de6fe35337daac7e5bffdba4eadd8dedbe56adcb254cba19aaaabd0c8c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -52544,7 +52417,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", "issue:10282", @@ -52552,6 +52425,8 @@ "issue:10710", "issue:1083", "issue:10920", + "issue:11023", + "issue:11275", "issue:11283", "issue:11709", "issue:12009", @@ -52584,12 +52459,10 @@ "issue:668", "issue:6869", "issue:7178", - "issue:7180", "issue:7243", "issue:7377", "issue:7405", "issue:7408", - "issue:7562", "issue:7968", "issue:7972", "issue:8790", @@ -52597,6 +52470,7 @@ ], "soft_pairs": [ "issue:12126|issue:12529", + "issue:11023|issue:11275", "issue:10025|issue:7968", "issue:1565|issue:1608", "issue:5510|issue:7972", @@ -52618,191 +52492,190 @@ "issue:3405|issue:4314", "issue:2618|issue:3140", "issue:3250|issue:5523", - "issue:12113|issue:12348", - "issue:7180|issue:7562" + "issue:12113|issue:12348" ], - "prepared_review_unit_hash": "bbf2110f7cb2671220db892a5c4f35920c448b5149334f7e4e56e9ab9688884c", + "prepared_review_unit_hash": "3474ed79761d74cb654f393987ca9d65b565cea9c70759c28dbe421b22f2583a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33921, - "estimated_input_tokens": 8481, - "estimated_eval_tokens": 17218 + "serialized_chars": 33942, + "estimated_input_tokens": 8486, + "estimated_eval_tokens": 17228 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Most pairs are only superficially similar and should remain separate. The WanImageToVideoPipeline pair (12113/12348) is related, but the packet only supports a shared symptom family, not a confirmed duplicate bug.", - "confidence": 0.73, - "canonical_issue_reason": "issue:12348 is the broadest open WanImageToVideoPipeline report and the best representative for the resolution-sensitive tensor mismatch theme, but issue:12113 should only be treated as closely related, not proven identical.", + "summary": "This cluster is mostly heterogeneous; only one soft pair looks like a true duplicate: the WanImageToVideoPipeline resolution/tensor-mismatch reports. The rest are superficial lexical matches across different bugs, models, or code paths.", + "confidence": 0.87, + "canonical_issue_reason": "issue:12348 is the broadest and most representative Wan report: it is open, describes a resolution-dependent tensor mismatch, and can subsume the more specific channel-count failure in 12113.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12348 is the best global issue representative because it is open, broader in scope, and describes the resolution-dependent WanImageToVideoPipeline mismatch more generally.", + "best_issue_reason": "issue:12348 is the best anchor for deduping because it captures the underlying WanImageToVideoPipeline resolution mismatch without narrowing to one exact tensor shape error.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:12126", "right": "issue:12529", "accept": false, - "reason": "Same Wan family, but different failures: cache_context switching vs tiled VAE tensor size mismatch." + "reason": "Both are Wan-related, but one is a cache_context meta-tensor switch bug and the other is a tiled-VAE tensor-size mismatch; different failing code paths." + }, + { + "left": "issue:11023", + "right": "issue:11275", + "accept": false, + "reason": "Different models and failures: blurred images in a custom SDXL pipeline vs a VAE NoneType addition error in ResnetUpsampleBlock2D." }, { "left": "issue:10025", "right": "issue:7968", "accept": false, - "reason": "Both mention attention, but they are different models/modules and different code paths." + "reason": "Both mention attention, but one is Flux transformer attention masking and the other is UNetMotionModel attention internals; not the same bug." }, { "left": "issue:1565", "right": "issue:1608", "accept": false, - "reason": "Unrelated training issues: GPU selection/OOM vs training stopping at 500 steps." + "reason": "One is GPU selection / device placement, the other is training stopping at 500 steps; unrelated issues." }, { "left": "issue:5510", "right": "issue:7972", "accept": false, - "reason": "Both are dtype/type mismatch symptoms, but for different pipelines and likely different fixes." + "reason": "Both are type-mismatch flavored, but they affect different pipelines and likely different casting paths; too broad to treat as one bug." }, { "left": "issue:10920", "right": "issue:9023", "accept": false, - "reason": "DDIMInverseScheduler inf bug is unrelated to a generic sample-code failure." + "reason": "A scheduler inf-at-first-step bug is not the same as a vague sample code failure." }, { "left": "issue:11283", "right": "issue:11709", "accept": false, - "reason": "Different Wan loading errors: header deserialization vs CausVid LoRA key loading." + "reason": "Both are Wan loading errors, but one is header deserialization and the other is a CausVid LoRA key error; not the same underlying failure." }, { "left": "issue:5606", "right": "issue:6368", "accept": false, - "reason": "Both involve LoRA alpha metadata, but one is missing alpha handling and the other rejects an unsupported alpha layer." + "reason": "Both mention LoRA alpha, but one is missing-alpha handling during load and the other is unsupported-alpha checkpoint parsing; different bugs." }, { "left": "issue:1083", "right": "issue:2941", "accept": false, - "reason": "Different problems: FP16 ONNX output correctness vs scheduler quality on Stable Diffusion." + "reason": "FP16 ONNX incorrect output and EulerAncestral scheduler results are different issues in different subsystems." }, { "left": "issue:5429", "right": "issue:5462", "accept": false, - "reason": "One is about supporting models without VAE in examples; the other is about LCM img2img support." + "reason": "Support for models without VAE in examples is unrelated to adding img2img support for LCMs." }, { "left": "issue:10282", "right": "issue:12009", "accept": false, - "reason": "Both are Wan loading problems, but one is a shape mismatch and the other is a GGUF/meta-tensor load failure." + "reason": "Both are Wan model loading problems, but one is an x_embedder shape mismatch and the other is a meta-tensor copy failure for GGUF; not the same code-path problem." }, { "left": "issue:10514", "right": "issue:10710", "accept": false, - "reason": "Sana resolution-binning limitation and DDUF support are unrelated." + "reason": "Sana resolution-binning/sample_size support and DDUF format support are unrelated." }, { "left": "issue:1534", "right": "issue:668", "accept": false, - "reason": "Both are DreamBooth-related, but they describe different training failures." + "reason": "Both involve DreamBooth training, but the notebook error and T4 runtime/OOM issue are distinct." }, { "left": "issue:5769", "right": "issue:5772", "accept": false, - "reason": "Mixed-precision training question and webdataset performance question are unrelated." + "reason": "Mixed precision training correctness and dataset/webdataset speed are unrelated concerns." }, { "left": "issue:4542", "right": "issue:7377", "accept": false, - "reason": "Both involve multi-image generation limits, but different pipelines and likely different causes." + "reason": "Both involve num_images_per_prompt/batching, but they are different pipelines and different concrete failures." }, { "left": "issue:1475", "right": "issue:5877", "accept": false, - "reason": "DreamBooth/textual inversion topics overlap, but the specific failures are not the same." + "reason": "Training on two image classes vs a subprocess error in DreamBooth/textual inversion are not the same bug." }, { "left": "issue:6869", "right": "issue:7178", "accept": false, - "reason": "Same function area, but one is a concrete unpacking error and the other is a generic export_to_video failure." + "reason": "Both mention export_to_video, but one is a specific unpacking exception and the other is a generic non-working report; insufficiently concrete to merge." }, { "left": "issue:3891", "right": "issue:7408", "accept": false, - "reason": "Different pipeline requests: Tortoise TTS vs FRESCO." + "reason": "Different new pipeline requests: Tortoise TTS vs FRESCO." }, { "left": "issue:7243", "right": "issue:8790", "accept": false, - "reason": "Different features and code paths: ResAdapter vs SDXL TensorRT/IP Adapter." + "reason": "ResAdapter and SDXL TensorRT + IP Adapter are different features, not duplicate bugs." }, { "left": "issue:3728", "right": "issue:7405", "accept": false, - "reason": "Different model/pipeline requests with no shared bug." + "reason": "Separate new-model/pipeline requests for Shifted Diffusion and DynamiCrafter." }, { "left": "issue:3405", "right": "issue:4314", "accept": false, - "reason": "ControlNet training bug and interrupted-download write protection are unrelated." + "reason": "ControlNet training bug and interrupted-download write-protection are unrelated." }, { "left": "issue:2618", "right": "issue:3140", "accept": false, - "reason": "Image-input support for ControlNet is unrelated to an import error." + "reason": "Accepting an image-input bug and an import error for the same pipeline would overreach; these are different failure modes." }, { "left": "issue:3250", "right": "issue:5523", "accept": false, - "reason": "Pipeline runtime failure vs nondeterministic results are different issues." + "reason": "Unable to run a specific pipeline and inconsistent results across runs are not the same underlying bug." }, { "left": "issue:12113", "right": "issue:12348", - "accept": false, - "reason": "Both WanImageToVideoPipeline reports point to tensor/channel mismatch behavior and resolution sensitivity, but the packet does not prove they are the same underlying bug." - }, - { - "left": "issue:7180", - "right": "issue:7562", - "accept": false, - "reason": "Different SDXL ControlNet/offload failures in separate scenarios." + "accept": true, + "reason": "Both report WanImageToVideoPipeline failures that vary with resolution and manifest as tensor/channel mismatches; 12113 looks like a specific instance of the broader issue in 12348." } ] }, "evaluator_result": { - "accept": false, - "feedback": "The pairwise verdicts are mostly conservative, but the 12113/12348 match is stated too strongly for the evidence in the packet. The packet supports that both are WanImageToVideoPipeline issues involving tensor/channel mismatches and resolution sensitivity, but it does not prove they are the same underlying bug. Marking them as a definite duplicate / \u2018same bug\u2019 overstates the available evidence, so I can\u2019t accept the summary as written." + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it treats the cluster as mostly heterogeneous and only elevates the WanImageToVideoPipeline pair (12113/12348), which is supported by the titles as a resolution-dependent tensor/channel mismatch. The other soft-edge rejections are phrased cautiously and do not overstate duplicate evidence." }, "evaluator_used": true, - "retried": true, - "accepted_nontrivial_soft_edge": false, + "retried": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -52817,7 +52690,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10050", "issue:10054", @@ -52847,11 +52720,12 @@ "issue:6439", "issue:6463", "issue:6695", - "issue:6725", + "issue:7180", "issue:7303", "issue:7418", "issue:7441", "issue:7456", + "issue:7562", "issue:7629", "issue:7636", "issue:7681", @@ -52865,10 +52739,10 @@ "issue:9397", "issue:9680", "issue:9729", - "issue:9731", "issue:9933" ], "soft_pairs": [ + "issue:7180|issue:7562", "issue:10050|issue:12752", "issue:10054|issue:9933", "issue:3880|issue:5710", @@ -52891,191 +52765,190 @@ "issue:3159|issue:6439", "issue:10937|issue:11749", "issue:11223|issue:11283", - "issue:6287|issue:7441", - "issue:6725|issue:9731" + "issue:6287|issue:7441" ], - "prepared_review_unit_hash": "9944c88c392d6c92d1c5037876d0fb41eb8a1b81d714d6c5cc58ae6392cb45a6", + "prepared_review_unit_hash": "581fd296433be1614f244c64bddbd68b2d409047783e2d922b7c9602474382ea", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34095, - "estimated_input_tokens": 8524, - "estimated_eval_tokens": 17304 + "serialized_chars": 34121, + "estimated_input_tokens": 8531, + "estimated_eval_tokens": 17318 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is mostly heterogeneous and does not form one duplicate cluster. The only plausible near-duplicate pair is the LPW Stable Diffusion XL pipeline decoding/blur issue (11023 \u2194 7848).", - "confidence": 0.78, - "canonical_issue_reason": "Issue 7848 is the clearest canonical for the LPW Stable Diffusion XL bug: it points to the exact community pipeline and describes the decode problem directly, while 11023 reads like the same symptom (blurred output) on a specific model.", + "summary": "The packet does not support any true duplicate merges with high confidence. The listed pairs are mostly thematic similarities across broad model/pipeline areas, but the evidence shown here is too weak and non-specific to treat them as the same underlying bug or change. No PRs are present.", + "confidence": 0.23, + "canonical_issue_reason": "There is no single canonical issue for this cluster because the items span unrelated bugs, feature requests, and docs/questions. The soft pairs are not conservatively established duplicates from the packet alone.", "canonical_pr_reason": null, - "best_issue_reason": "7848 is the strongest issue to keep as the representative duplicate target because it is the most specific, code-path-focused report among the near-duplicate candidates.", + "best_issue_reason": "If one issue must be used as the most concrete representative, issue 7562 is the strongest standalone candidate because it has a specific pipeline, a clear failure mode, and a focused reproducer. That said, it is not justified as a canonical duplicate anchor for the whole cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7180", + "right": "issue:7562", + "accept": false, + "reason": "Related ControlNet/offload area, but the packet only shows thematic overlap and no shared filenames, targets, or concrete proof of the same bug." + }, { "left": "issue:10050", "right": "issue:12752", "accept": false, - "reason": "Both are about img2img/inpainting pipelines, but one asks for a KDiffusion equivalent and the other requests Z-Image support; different features, not the same bug/change." + "reason": "Both involve img2img/inpainting themes, but one is a capability question and the other is a pipeline request for a different model family." }, { "left": "issue:10054", "right": "issue:9933", "accept": false, - "reason": "Different concrete bugs: one is EulerDiscreteScheduler beta sigma argument handling, the other is missing width/height in StableDiffusion3Img2ImgPipeline." + "reason": "A scheduler linspace bug and an img2img API parameter issue are different code-path problems." }, { "left": "issue:3880", "right": "issue:5710", "accept": false, - "reason": "Inpainting quality degradation and a scheduler initialization bug are unrelated code-paths." + "reason": "Inpainting degradation and scheduler initialization missing sigmas are unrelated failures." }, { "left": "issue:4368", "right": "issue:8560", "accept": false, - "reason": "Both mention OOM, but they involve different models and training setups; not the same underlying fix." + "reason": "Both are OOM reports, but the model/training contexts differ and the packet gives no evidence of the same root cause." }, { "left": "issue:6363", "right": "issue:6695", "accept": false, - "reason": "Training-script FP16 gradient scaling error vs a subprocess launch error; unrelated." + "reason": "Training gradient scaling error versus subprocess startup failure; no shared bug path is shown." }, { "left": "issue:6463", "right": "issue:7456", "accept": false, - "reason": "Missing audio_diffusion pipeline and a missing raise statement are unrelated." + "reason": "A missing pipeline request is unrelated to a documentation/code typo about an exception path." }, { "left": "issue:7303", "right": "issue:9397", "accept": false, - "reason": "Both are scheduler-related feature requests, but they target different schedulers and use cases." + "reason": "Scheduler-related titles are too broad here; zero_snr creation and SGMUniform support are different changes." }, { "left": "issue:7681", "right": "issue:9034", "accept": false, - "reason": "OpenSSL import failure vs an unnecessary sentencepiece dependency; unrelated." + "reason": "Import/OpenSSL failure and an unnecessary dependency requirement are unrelated." }, { "left": "issue:6095", "right": "issue:7629", "accept": false, - "reason": "Both concern SVD, but one is an Euler discrete scheduling index error and the other is a version-specific OOM issue." + "reason": "Different scheduler/runtime problems: an IndexError in one case and version-specific OOM in the other." }, { "left": "issue:10573", "right": "issue:7931", "accept": false, - "reason": "Same pipeline family, but different failures: padding_mask_crop with multiple ControlNets vs IP-Adapter image_embeds support." + "reason": "Same pipeline family, but the feature interactions differ: multicontrolnet padding crop versus IP-Adapter embeds." }, { "left": "issue:10500", "right": "issue:10653", "accept": false, - "reason": "Both are HunyuanVideo/bitsandbytes device issues, but the concrete errors differ (.to() on 8bit module vs same-device tensor mismatch)." + "reason": "Similar HunyuanVideo/bitsandbytes context, but the packet does not establish the same concrete failure path." }, { "left": "issue:8850", "right": "issue:9680", "accept": false, - "reason": "Community pipelines mirror failure and SDXL unconditional generation are unrelated." + "reason": "One is a community pipeline mirror/infrastructure issue, the other is an SDXL generation bug." }, { "left": "issue:11023", "right": "issue:7848", - "accept": true, - "reason": "These describe the same LPW Stable Diffusion XL pipeline bug: blurred/incorrectly decoded output from the same community pipeline code path." + "accept": false, + "reason": "Both mention lpw_stable_diffusion_xl, but the packet only supports broad similarity, not a confirmed duplicate bug." }, { "left": "issue:5335", "right": "issue:7418", "accept": false, - "reason": "A deployment/local mirror question and a docs code typo are not the same issue." + "reason": "A deployment question and a code bug in a community pipeline are not the same issue." }, { "left": "issue:9025", "right": "issue:9031", "accept": false, - "reason": "Different user questions about Flax pipelines; one is from_single_file on TPU, the other is disabling the safety checker." + "reason": "Same pipeline class, but the problems are different: from_single_file on TPU versus disabling the safety checker." }, { "left": "issue:4616", "right": "issue:7636", "accept": false, - "reason": "LoRA conversion script failure and ControlNet tile usage are unrelated." + "reason": "A LoRA conversion script bug and a controlnet usage question are different topics." }, { "left": "issue:11229", "right": "issue:11342", "accept": false, - "reason": "Both mention MPS, but one is NaNs from attention slicing in SDXL and the other is a Sana-sprint pipeline failure." + "reason": "Both mention MPS, but they affect different pipelines/models and do not show the same failure mode." }, { "left": "issue:10639", "right": "issue:12369", "accept": false, - "reason": "A request for Lumina-Image 2.0 support and a Wan 2.1 CineScale upscaling request are different feature additions." + "reason": "Unrelated support requests for different model families and capabilities." }, { "left": "issue:11489", "right": "issue:9729", "accept": false, - "reason": "Same training script family, but one is a general Flux LoRA training error and the other is a specific save-model T5EncoderModel mismatch." + "reason": "The titles suggest the same script family, but the packet does not provide enough concrete overlap to confirm the same bug." }, { "left": "issue:3159", "right": "issue:6439", "accept": false, - "reason": "Both are docs-related, but one is a typo in example code and the other is a broken fp16 link." + "reason": "Two documentation-related issues, but they concern different docs and different problems." }, { "left": "issue:10937", "right": "issue:11749", "accept": false, - "reason": "torch.compile vae.encode errors and FlowMatchEulerDiscreteScheduler floating-point issues are separate problems." + "reason": "torch.compile/VAE encode errors and scheduler floating-point issues are distinct bugs." }, { "left": "issue:11223", "right": "issue:11283", "accept": false, - "reason": "Wan layer-wise upcasting OOM with LoRAs and Wan header deserialization failure are different failures." + "reason": "OOM with layer-wise upcasting and a WAN header deserialization error are not the same failure." }, { "left": "issue:6287", "right": "issue:7441", "accept": false, - "reason": "Unused dependencies in setup.py and pytest not running on Python 3.12 are unrelated." - }, - { - "left": "issue:6725", - "right": "issue:9731", - "accept": false, - "reason": "An LDMPipeline image-generation request and a Playground2.5 LoRA-training question are unrelated." + "reason": "Dependency cleanup and a pytest Python 3.12 failure are unrelated." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet: it correctly identifies the set as mostly heterogeneous and only flags the 11023 \u2194 7848 pair as a plausible duplicate. The soft-edge rejections are conservative and the one accepted pair is reasonably supported by the titles." + "accept": false, + "feedback": "The summary is too confident for the evidence in the packet. Every listed pair is only supported by soft similarity, with deterministic_accept=false and no shared filenames/targets, so the analyst should not mark any of them as true duplicates without stronger grounding. In particular, the accepted pairs (7180/7562, 10500/10653, 11023/7848, 11489/9729) are plausible thematic matches but not conservatively established as mergeable duplicate issues from the packet alone. The overall claim that there are 'a few true duplicate-like pairs' overstates the evidence." }, "evaluator_used": true, - "retried": false, - "accepted_nontrivial_soft_edge": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -53090,7 +52963,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10057", "issue:10282", @@ -53105,7 +52978,6 @@ "issue:1290", "issue:1433", "issue:1445", - "issue:1544", "issue:1941", "issue:2044", "issue:2311", @@ -53126,6 +52998,7 @@ "issue:6162", "issue:6368", "issue:6506", + "issue:6725", "issue:6839", "issue:7177", "issue:7219", @@ -53138,9 +53011,11 @@ "issue:8975", "issue:9450", "issue:9551", + "issue:9731", "issue:9904" ], "soft_pairs": [ + "issue:6725|issue:9731", "issue:3085|issue:539", "issue:1941|issue:2728", "issue:3623|issue:4446", @@ -53163,181 +53038,180 @@ "issue:4615|issue:6142", "issue:10757|issue:8975", "issue:10282|issue:6368", - "issue:9450|issue:9904", - "issue:1207|issue:1544" + "issue:9450|issue:9904" ], - "prepared_review_unit_hash": "c57f46574d455709961081f4738739c9f93354e36837a7b14be42d94176218a0", + "prepared_review_unit_hash": "534256fd54f88e5148501de2bbcf6a84ab196df54d8740de924b44fc5c23dec4", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33536, - "estimated_input_tokens": 8384, - "estimated_eval_tokens": 17024 + "serialized_chars": 34070, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is a grab bag of mostly unrelated Diffusers issues: model loading, pipeline-specific shape/config errors, training utilities, and a few feature requests. The soft links are only title-level similarity and do not look like the same underlying bug or change, so none should be merged.", - "confidence": 0.89, - "canonical_issue_reason": "issue:6839 is the clearest, most concrete representative of the recurring from_single_file loading failures in this set, with a well-scoped user-visible bug report and substantial discussion.", + "summary": "This cluster is a loose collection of unrelated Diffusers issues; the soft links are mostly superficial similarity matches rather than true duplicates. No PRs are present.", + "confidence": 0.95, + "canonical_issue_reason": "Issue #9450 is the clearest, most concrete bug report in the set and a reasonable anchor for the cluster, even though the overall group is not a single duplicate family.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6839 best fits the cluster as the most actionable and representative issue among the loading/error reports; it is specific enough to anchor triage without overgeneralizing.", + "best_issue_reason": "#9450 has a specific code path, explicit runtime error, and enough detail to be useful as the representative issue; most others are either broad feature requests or different failure modes.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6725", + "right": "issue:9731", + "accept": false, + "reason": "Both are broad model-usage questions, but one is about LDMPipeline generation and the other about Playground2.5 LoRA training; not the same bug or change." + }, { "left": "issue:3085", "right": "issue:539", "accept": false, - "reason": "Both are API/compatibility complaints, but one is about a removed cache-folder argument and the other about snapshot_download kwargs; not the same bug." + "reason": "Both mention API/compatibility problems, but one is about a removed cache-folder argument and the other about snapshot_download keyword support; different issues." }, { "left": "issue:1941", "right": "issue:2728", "accept": false, - "reason": "Both concern loading custom models/pipelines, but UnCLIP custom pipeline loading and safetensors loading for UNet are different failure modes." + "reason": "Both involve loading custom or safetensors models, but they target different pipelines and different failure modes." }, { "left": "issue:3623", "right": "issue:4446", "accept": false, - "reason": "Both mention loading difficulty, but one is about larger models generally while the other is about custom text_encoder support in from_single_file." + "reason": "Both are model-loading troubles, but one is about larger models in general and the other about custom text_encoder support in from_single_file; not the same defect." }, { "left": "issue:7243", "right": "issue:9551", "accept": false, - "reason": "One is a resolution adapter feature request and the other asks how to use Flux ControlNet models; same area, different change/request." + "reason": "Both mention adapter/control-style models, but they concern different model families and different integration questions." }, { "left": "issue:6162", "right": "issue:8863", "accept": false, - "reason": "Both involve shape-related runtime errors, but the IP-Adapter SDXL mismatch and tuple.shape AttributeError are distinct code paths." + "reason": "Both are shape-related runtime errors, but one is specifically IP-Adapter SDXL mismatch and the other is a generic tuple/shape AttributeError; not the same underlying bug." }, { "left": "issue:4648", "right": "issue:7177", "accept": false, - "reason": "Both are model/config loading errors, but missing config.json and StableCascadeDecoderPipeline.from_pretrained are not the same underlying bug." + "reason": "Both are loading/config errors, but one is missing config.json and the other is StableCascadeDecoderPipeline.from_pretrained; different causes." }, { "left": "issue:6506", "right": "issue:6839", "accept": false, - "reason": "Both are StableVideoDiffusionPipeline issues, but one is np output type and the other is from_single_file loading; different behaviors." + "reason": "Both are StableVideoDiffusionPipeline issues, but one is about output_type=\"np\" returning a list and the other is from_single_file support; different code paths." }, { "left": "issue:11519", "right": "issue:8410", "accept": false, - "reason": "One requests MAGI-1 support and the other requests native TextDiffuser support; both are feature requests, not duplicates." + "reason": "Both are requests for support of a model family, but they ask for different models and different pipeline integrations." }, { "left": "issue:1433", "right": "issue:1445", "accept": false, - "reason": "Both involve OnnxRuntime/ONNX pipelines, but the missing config attribute and the inpaint legacy AttributeError are separate issues." + "reason": "Both are ONNX-related attribute errors, but they occur in different classes/pipelines and are not clearly the same bug." }, { "left": "issue:3019", "right": "issue:4609", "accept": false, - "reason": "Both are community-model requests, but text-guided image editing with SAM and a T2I-Adapter model are different additions." + "reason": "One requests SAM text-guided editing support and the other provides a t2iadapter model; these are unrelated feature requests." }, { "left": "issue:11023", "right": "issue:8613", "accept": false, - "reason": "The blur output complaint and the OOM complaint are unrelated symptoms, likely from different causes and fixes." + "reason": "Both report quality/performance problems, but one is blur output in a custom pipeline and the other is an OOM during caption loading; not duplicates." }, { "left": "issue:3901", "right": "issue:4159", "accept": false, - "reason": "Missing requirements.txt is a repo/setup problem; DiffEdit VRAM usage is an algorithmic memory issue." + "reason": "One is a missing requirements.txt file and the other is a VRAM-heavy DiffEdit usage issue; unrelated." }, { "left": "issue:10057", "right": "issue:8885", "accept": false, - "reason": "Both mention token-related setup, but FluxTransformer2DModel.from_single_file and Custom Diffusion modifier-token installation/loading are different bugs." + "reason": "One is about token issues in from_single_file and the other is about custom diffusion installation/token loading; different failures." }, { "left": "issue:10321", "right": "issue:10398", "accept": false, - "reason": "Missing model files in LTX-Video versus target modules not found in base model are distinct loading/configuration failures." + "reason": "Both concern LTX-Video/Flux-style loading, but one is missing model files and the other is missing target modules for LoRA-like attachment; different problems." }, { "left": "issue:2311", "right": "issue:2635", "accept": false, - "reason": "UniPC Scheduler implementation request and a question about DPM++ Karras schedulers are related only by scheduler theme, not the same issue." + "reason": "Both mention schedulers, but one is a UniPC scheduler request and the other asks which scheduler corresponds to specific names; not the same issue." }, { "left": "issue:1037", "right": "issue:1290", "accept": false, - "reason": "Both are community-pipeline requests, but Stable Diffusion Telephone and DreamArtist are different pipelines/features." + "reason": "Both are community-pipeline requests, but they are for different models and different contributions." }, { "left": "issue:3043", "right": "issue:7219", "accept": false, - "reason": "Both request adding models, but ODISE and SUPIR are unrelated additions with different code paths." + "reason": "Both are model addition requests, but ODISE and SUPIR are distinct features with no shared underlying bug." }, { "left": "issue:1207", "right": "issue:2044", "accept": false, - "reason": "CUDA runtime symbol error and DDP dtype attribute error are separate environment/runtime failures." + "reason": "Both are environment/runtime AttributeErrors, but one is a missing CUDA symbol and the other is DDP lacking dtype; unrelated." }, { "left": "issue:11063", "right": "issue:8373", "accept": false, - "reason": "Incorrect attention-mask padding and incorrect-format error message are not the same bug; one is logic, the other is diagnostics." + "reason": "Both mention input/preparation logic, but one is about attention mask padding and the other is an incorrect error message; not the same defect." }, { "left": "issue:4615", "right": "issue:6142", "accept": false, - "reason": "ImportError for StableDiffusionControlnetPipeline and NameError for start_training are unrelated API/symbol issues." + "reason": "Both are NameError/ImportError-style issues, but they refer to different symbols and different code paths." }, { "left": "issue:10757", "right": "issue:8975", "accept": false, - "reason": "Variable rename in a conversion script and missing LoraLoaderMixin import are different code changes, not duplicates." + "reason": "One is a variable-name cleanup request and the other is an import error for LoraLoaderMixin; unrelated." }, { "left": "issue:10282", "right": "issue:6368", "accept": false, - "reason": "Shape mismatch on x_embedder weights and unsupported LoRA checkpoint layer names are distinct model-loading compatibility issues." + "reason": "Both involve model weight/lora loading mismatches, but they describe different unsupported states and different failure points." }, { "left": "issue:9450", "right": "issue:9904", "accept": false, - "reason": "Both are FluxPipeline bugs, but one is a multi-GPU device placement error and the other is silent output shape rounding; different root causes." - }, - { - "left": "issue:1207", - "right": "issue:1544", - "accept": false, - "reason": "CUDA runtime undefined symbol and DDPMScheduler missing get_velocity are unrelated failures." + "reason": "Both are FluxPipeline issues, but one is a multi-GPU device-placement error and the other is silent image-shape rounding; different bugs." } ] }, @@ -53359,7 +53233,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10111", @@ -53371,15 +53245,15 @@ "issue:11396", "issue:1160", "issue:1166", + "issue:1207", "issue:1290", "issue:12995", "issue:1539", + "issue:1544", "issue:1617", "issue:1677", "issue:197", - "issue:1974", "issue:200", - "issue:2083", "issue:2221", "issue:2321", "issue:2560", @@ -53411,6 +53285,7 @@ "issue:9958" ], "soft_pairs": [ + "issue:1207|issue:1544", "issue:1539|issue:2321", "issue:1617|issue:2221", "issue:10010|issue:4648", @@ -53435,203 +53310,199 @@ "issue:10010|issue:10675", "issue:4436|issue:5300", "issue:6234|issue:8918", - "issue:8485|issue:8834", - "issue:1974|issue:2083" + "issue:8485|issue:8834" ], - "prepared_review_unit_hash": "54ca3ba12df74f0d47c3e534201b77ad11084ea5d6a071bcfb534bb7de831205", + "prepared_review_unit_hash": "25afe53a6796405da625e2428e512fc46c7af08f233f00f31fe020495a682297", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 26, - "serialized_chars": 34258, - "estimated_input_tokens": 8565, - "estimated_eval_tokens": 17386 + "serialized_chars": 34278, + "estimated_input_tokens": 8570, + "estimated_eval_tokens": 17396 }, "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 that only share broad subsystem keywords. I found one plausible duplicate pair in FLUX LoRA training; the rest look like superficial topic matches rather than the same bug.", - "confidence": 0.84, - "canonical_issue_reason": "issue:10226 is the most concrete report of the FLUX Dreambooth LoRA shape/mismatch failure and best anchors the one likely duplicate pair.", + "summary": "This cluster is mostly a heterogeneous mix of unrelated issues that only share broad Diffusers/Flux wording. I do not see any pair that clearly describes the same underlying bug or change, so I would reject all soft-edge duplicate candidates.", + "confidence": 0.89, + "canonical_issue_reason": "issue:10111 is the broadest Flux-pipeline bug report and the closest thing to a cluster anchor, but it is still too generic to serve as a true duplicate target for the other issues.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10226 is the strongest representative issue in this set because it describes the underlying FLUX LoRA training failure more specifically than the later crash report.", + "best_issue_reason": "issue:9895 is the most concrete, actionable issue in the set: it names a specific FluxPipeline regression, a failing error, and a suspect commit.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1207", + "right": "issue:1544", + "accept": false, + "reason": "Different scheduler/runtime failures: CUDA symbol resolution vs missing DDPMScheduler.get_velocity." + }, { "left": "issue:1539", "right": "issue:2321", "accept": false, - "reason": "Both mention incorrect model handling, but one is a conversion-script type bug and the other is an inference EMA-weight issue; different code paths." + "reason": "Unrelated problems: conversion-script type handling vs EMA weight copying in inference." }, { "left": "issue:1617", "right": "issue:2221", "accept": false, - "reason": "A missing-CLI-arguments training script error is not the same as a ColossalAI integration failure." + "reason": "Different training/runtime errors with no shared code-path or symptom." }, { "left": "issue:10010", "right": "issue:4648", "accept": false, - "reason": "Both are file-not-found loading problems, but they involve different models and missing files (model_index.json vs config.json) with different causes." + "reason": "Both are file-not-found style reports, but one is a remote Flux Fill model URL 404 and the other is a local config.json lookup failure." }, { "left": "issue:1290", "right": "issue:541", "accept": false, - "reason": "A community DreamArtist proposal and a SageMaker usage issue are unrelated." + "reason": "Community model request vs SageMaker deployment topic; not the same bug/change." }, { "left": "issue:11023", "right": "issue:12995", "accept": false, - "reason": "One is a blurred SDXL custom-pipeline inference bug; the other asks what a Cosmos-Predict2.5 video pipeline does." + "reason": "Different models and questions: blurry SDXL custom pipeline output vs Cosmos-Predict2.5 video behavior." }, { "left": "issue:10111", "right": "issue:10675", "accept": false, - "reason": "Both are FLUX-related, but one is a broad bug roundup and the other is a specific scheduler max_shift configuration difference." + "reason": "Generic Flux pipeline bug report vs a specific scheduler max_shift configuration discrepancy." }, { "left": "issue:10796", "right": "issue:11396", "accept": false, - "reason": "These are separate documentation/how-to questions for different models and workflows." + "reason": "Unrelated docs/how-to questions for different models and workflows." }, { "left": "issue:197", "right": "issue:200", "accept": false, - "reason": "Dead-code cleanup and a test request are not the same change." + "reason": "Delete dead code vs add tests for resnet; not the same underlying issue." }, { "left": "issue:2560", "right": "issue:462", "accept": false, - "reason": "Both concern img2img behavior, but one is list-of-generators reproducibility and the other is an Apple MPS regression." + "reason": "Different pipeline regressions with different symptoms and platforms." }, { "left": "issue:3043", "right": "issue:3891", "accept": false, - "reason": "Different feature requests for entirely different pipelines/models." + "reason": "Separate feature requests for different pipelines/models." }, { "left": "issue:3043", "right": "issue:6688", "accept": false, - "reason": "Add ODISE and Add MotionCntrl are separate feature requests." + "reason": "Separate feature requests; no evidence they are the same change." }, { "left": "issue:6234", "right": "issue:8588", "accept": false, - "reason": "These are different missing/buggy example-script reports for different model families." + "reason": "Both involve example/script gaps, but they target different scripts and model families." }, { "left": "issue:6374", "right": "issue:9258", "accept": false, - "reason": "A Qwen LoRA weight-loading question is unrelated to a FLUX LoRA training speed investigation." + "reason": "LoRA weight-loading question vs Flux LoRA training speed comparison; different issues." }, { "left": "issue:8880", "right": "issue:9895", "accept": false, - "reason": "Inference slowdown across versions is unrelated to a device-mismatch crash in FluxPipeline." + "reason": "Performance regression vs device-placement error; different concrete failures." }, { "left": "issue:1160", "right": "issue:1166", "accept": false, - "reason": "Both hang, but one is a pytest custom-pipeline hang and the other is TPU textual inversion saving hang; different scenarios." + "reason": "Both mention hangs, but they are different tests/training flows and different failure points." }, { "left": "issue:3706", "right": "issue:4609", "accept": false, - "reason": "A new model request for Wuerstchen is unrelated to a t2iadapter model listing request." + "reason": "New model addition vs providing a specific existing model; not duplicates." }, { "left": "issue:6141", "right": "issue:9958", "accept": false, - "reason": "Both are support requests, but ControlNet parameter support and Autoencoder tiling are different features." + "reason": "Different feature requests in different components (ControlNet params vs VAE tiling)." }, { "left": "issue:10226", "right": "issue:10994", - "accept": true, - "reason": "These both point to the same FLUX Dreambooth LoRA training path failing with a tensor/shape issue, and the batch-size>1 crash plausibly describes the same underlying mismatch bug." + "accept": false, + "reason": "Both are Flux LoRA training problems, but the titles point to different failure modes and are not clearly the same bug." }, { "left": "issue:1677", "right": "issue:785", "accept": false, - "reason": "Wrong input datatype for StableDiffusionPipeline is not the same as PNDM scheduler performance cost." + "reason": "Incorrect pipeline call type vs PNDM scheduler performance cost; unrelated." }, { "left": "issue:5881", "right": "issue:7142", "accept": false, - "reason": "Both are quality regressions, but one is about Animatediff output fidelity and the other is SDXL-lightning inference parity." + "reason": "Separate output-quality complaints for different models and setups." }, { "left": "issue:6278", "right": "issue:6518", "accept": false, - "reason": "Both hit the same training script family, but the reported failures differ: multi-GPU runtime failure vs NoneType floor-division argument handling." + "reason": "Same script family, but one is a multi-GPU failure and the other is a NoneType division crash; not clearly the same bug." }, { "left": "issue:10010", "right": "issue:10675", "accept": false, - "reason": "A FLUX Fill model download failure is not the same as a scheduler config max_shift discrepancy." + "reason": "Both mention Flux, but one is a missing model file and the other is a scheduler config mismatch." }, { "left": "issue:4436", "right": "issue:5300", "accept": false, - "reason": "A conversion request and a networking complaint are unrelated." + "reason": "Conversion workflow vs network connectivity complaint; not the same issue." }, { "left": "issue:6234", "right": "issue:8918", "accept": false, - "reason": "Different training scripts and different breakages; not the same bug." + "reason": "Different training scripts and different broken behavior." }, { "left": "issue:8485", "right": "issue:8834", "accept": false, - "reason": "A request for SD3 LoRA support is not the same as asking for SD3 ControlNet training code." - }, - { - "left": "issue:1974", - "right": "issue:2083", - "accept": false, - "reason": "Both involve generators and schedulers, but they target different schedulers and conditions; this looks like related class-wide behavior, not one concrete duplicate bug." + "reason": "Support request for SD3 LoRA vs question about SD3 ControlNet training release; different feature asks." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative. The one accepted FLUX LoRA pair is at least plausibly the same underlying bug, and the rejected soft pairs are explained with reasonable code-path or feature differences rather than overclaiming duplicates." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -53646,7 +53517,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10054", "issue:10231", @@ -53661,7 +53532,9 @@ "issue:1350", "issue:1539", "issue:1617", + "issue:1974", "issue:1976", + "issue:2083", "issue:2161", "issue:2676", "issue:2830", @@ -53678,8 +53551,6 @@ "issue:4647", "issue:4665", "issue:5108", - "issue:5320", - "issue:5341", "issue:5557", "issue:5731", "issue:6572", @@ -53697,6 +53568,7 @@ "issue:9895" ], "soft_pairs": [ + "issue:1974|issue:2083", "issue:10231|issue:8624", "issue:11014|issue:7513", "issue:9350|issue:9799", @@ -53719,187 +53591,189 @@ "issue:11178|issue:8465", "issue:3984|issue:7686", "issue:4178|issue:4194", - "issue:3963|issue:4665", - "issue:5320|issue:5341" + "issue:3963|issue:4665" ], - "prepared_review_unit_hash": "c186a9a5c66baebda5c4f29de1a2c93356a6686ec2e0fe06410d704e1b6e1d4b", + "prepared_review_unit_hash": "b0dc3d1b7f99391ac7232fe29388fb26f6b48f94df37c6bdf961cc7920b4cdd0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33821, - "estimated_input_tokens": 8456, - "estimated_eval_tokens": 17168 + "serialized_chars": 33881, + "estimated_input_tokens": 8471, + "estimated_eval_tokens": 17198 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is a heterogeneous mix of unrelated issues. The proposed soft pairs mostly share only a broad subsystem (schedulers, loading, Flux, Windows, etc.) but not the same concrete bug or change, so none should be merged as duplicates.", - "confidence": 0.96, - "canonical_issue_reason": "No single true canonical issue stands out because the cluster is not a duplicate set. If one must be picked as the best representative bug report, issue 12436 is the most concrete and actionable.", + "summary": "Most items are separate issue reports with only title-level thematic overlap. The strongest duplicate-like pair is issue:12436 and issue:12483, where the broader diffusers/transformers version-conflict report plausibly subsumes the specific CLIPTextModel TypeError. By contrast, issue:1974 and issue:2083 should stay separate: the evidence only shows superficial overlap around schedulers and generators, not a shared root cause.", + "confidence": 0.82, + "canonical_issue_reason": "issue:12483 is the better canonical issue because it is broader and more diagnostic, framing the diffusers/transformers incompatibility directly, while issue:12436 is a narrower symptom of that same problem.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 12436 is the clearest, most specific report: it names an exact TypeError, the offending argument, and the relevant version context.", + "best_issue_reason": "issue:12483 is the strongest representative issue: it clearly describes the underlying version conflict and is the best anchor for triage of the related TypeError report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1974", + "right": "issue:2083", + "accept": false, + "reason": "Only title-level similarity is visible around schedulers and multiple generators; the concrete scheduler/parameter details differ, so there is not enough evidence to call this the same bug." + }, { "left": "issue:10231", "right": "issue:8624", "accept": false, - "reason": "Different failures: an Ubuntu import error in tutorial code vs a CUDA extension undefined-symbol runtime error." + "reason": "Different failures in different contexts: a tutorial ImportError on Ubuntu versus an undefined-symbol CUDA extension issue during SD3 inference." }, { "left": "issue:11014", "right": "issue:7513", "accept": false, - "reason": "Both mention memory pressure, but one is a general OOM report and the other is a specific SDXL LoRA training problem on a 3060; not the same bug." + "reason": "Both mention OOM, but the scenarios and likely causes differ; there is no evidence of a shared underlying bug." }, { "left": "issue:9350", "right": "issue:9799", "accept": false, - "reason": "The first is a deprecation warning about txt_ids shape; the second is a tensor-size mismatch runtime error." + "reason": "A deprecation warning about txt_ids shape is not the same as a tensor-size mismatch runtime error." }, { "left": "issue:4213", "right": "issue:5108", "accept": false, - "reason": "Both are pipeline-related, but one is about from_single_file requiring accelerate and the other is a multi-adapter XL exception." + "reason": "These are different pipeline/model exceptions; shared SDXL context is too broad to merge them." }, { "left": "issue:1350", "right": "issue:3073", "accept": false, - "reason": "Two separate feature requests for different model families, not the same underlying change." + "reason": "Separate feature requests for different model families, not the same change." }, { "left": "issue:12436", "right": "issue:12483", "accept": false, - "reason": "Related theme, but one is a specific CLIPTextModel constructor kwarg TypeError and the other is a broader dependency-compatibility report; insufficient evidence they are the same bug." + "reason": "Not a soft-edge candidate in this packet, but the broader version-conflict issue does appear to encompass the narrower constructor TypeError." }, { "left": "issue:2830", "right": "issue:4611", "accept": false, - "reason": "One asks about text/image-to-video use of a ModelScope model; the other is about VideoComposer integration with ModelScope." + "reason": "Unrelated video/modelscope topics without a shared bug or code path." }, { "left": "issue:5731", "right": "issue:7456", "accept": false, - "reason": "Different code paths: AutoencoderKL logvar behavior vs a missing raise statement." + "reason": "A missing trainable logvar implementation is unrelated to a missing raise statement." }, { "left": "issue:6572", "right": "issue:8790", "accept": false, - "reason": "Both mention SDXL-ish components, but one is a ControlNetXS inpaint pipeline request and the other is TensorRT + IP-Adapter support." + "reason": "Different model/pipeline requests; no shared defect is evident." }, { "left": "issue:2676", "right": "issue:3974", "accept": false, - "reason": "Scheduler naming/support question vs a safetensors loading bug in an inpaint pipeline." + "reason": "A scheduler-support question and a safetensors loading problem are unrelated." }, { "left": "issue:4647", "right": "issue:6958", "accept": false, - "reason": "Both are missing-argument style model-init issues, but they concern different modules and different parameters." + "reason": "Both are UNet configuration issues, but they affect different parameters and model paths, so they do not clearly describe the same bug." }, { "left": "issue:1539", "right": "issue:1976", "accept": false, - "reason": "Unrelated: conversion-script type handling vs incorrect tokenizer file lookup." + "reason": "A conversion-script type issue and a tokenizer file-path error are different problems." }, { "left": "issue:2161", "right": "issue:4605", "accept": false, - "reason": "Inpainting appears in both, but one is a LoRA training question and the other is a long-prompt-weighting pipeline error." + "reason": "These concern different training/pipeline failures and do not look like one underlying issue." }, { "left": "issue:10920", "right": "issue:9096", "accept": false, - "reason": "Different numerical-stability bugs in different models/schedulers; no concrete shared code path." + "reason": "Different numerical-stability symptoms in different scheduler/model contexts; not the same code-path problem." }, { "left": "issue:10054", "right": "issue:7183", "accept": false, - "reason": "One is an incorrect torch.linspace call in beta-sigma testing; the other is stale scheduler class-name metadata." + "reason": "Both are scheduler-related, but one is a torch.linspace argument bug and the other is a wrong class-name display issue." }, { "left": "issue:10855", "right": "issue:12761", "accept": false, - "reason": "Gradient accumulation behavior vs an attention backward gradient-count error are unrelated issues." + "reason": "Gradient accumulation behavior and an incorrect gradient-count backward error are unrelated." }, { "left": "issue:2984", "right": "issue:3073", "accept": false, - "reason": "Separate feature requests for different model classes; too broad to treat as the same change." + "reason": "Separate model requests, not duplicates." }, { "left": "issue:11540", "right": "issue:9895", "accept": false, - "reason": "Both concern Flux, but one is VAE slicing behavior and the other is a device-mismatch regression." + "reason": "Both involve Flux, but one is about VAE slicing and the other about a device-placement regression." }, { "left": "issue:1617", "right": "issue:5557", "accept": false, - "reason": "Different CLI/runtime problems: missing required training arguments vs an unexpected keyword argument." + "reason": "Missing required arguments and an unexpected keyword argument are different bugs." }, { "left": "issue:11178", "right": "issue:8465", "accept": false, - "reason": "Both are from_single_file loading issues, but they target different models and different missing configuration files." + "reason": "Both are from_single_file loading issues, but they involve different models and different failure causes." }, { "left": "issue:3984", "right": "issue:7686", "accept": false, - "reason": "Different initialization errors with different required parameters and different block types." + "reason": "Different constructor validation errors with different parameters and model classes." }, { "left": "issue:4178", "right": "issue:4194", "accept": false, - "reason": "LoRA unloading with XFormers is a distinct bug from a VAE problem when loading from_single_file." + "reason": "LoRA unloading with xformers and a from_single_file VAE failure are unrelated." }, { "left": "issue:3963", "right": "issue:4665", "accept": false, - "reason": "Both are Windows-related loading issues, but one is auto-downloading weights and the other is safetensors/bin-file resolution." - }, - { - "left": "issue:5320", - "right": "issue:5341", - "accept": false, - "reason": "A PEFT API enhancement request is not the same as updating example scripts to match the API." + "reason": "Both are Windows-related, but one is about auto-download behavior and the other about safetensors/bin file selection." } ] }, - "evaluator_result": null, - "evaluator_used": false, - "retried": false, + "evaluator_result": { + "accept": false, + "feedback": "The overall summary is mostly grounded, and the 12436/12483 linkage looks reasonable. However, the acceptance of issue:1974 with issue:2083 overstates the evidence: the packet only shows title-level similarity around multiple generators and schedulers, which is not enough to conservatively treat them as the same bug. The safer verdict there is non-duplicate unless body text or explicit linkage confirms shared root cause." + }, + "evaluator_used": true, + "retried": true, "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null @@ -53915,7 +53789,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10210", @@ -53946,12 +53820,12 @@ "issue:4935", "issue:5022", "issue:5118", - "issue:5476", + "issue:5320", + "issue:5341", "issue:5877", "issue:5968", "issue:6560", "issue:7003", - "issue:7043", "issue:7191", "issue:7350", "issue:7418", @@ -53967,6 +53841,7 @@ "issue:9958" ], "soft_pairs": [ + "issue:5320|issue:5341", "issue:11448|issue:8637", "issue:1524|issue:5877", "issue:3699|issue:4418", @@ -53989,181 +53864,180 @@ "issue:2437|issue:3043", "issue:3537|issue:4702", "issue:4407|issue:4648", - "issue:4935|issue:7350", - "issue:5476|issue:7043" + "issue:4935|issue:7350" ], - "prepared_review_unit_hash": "c1ed9e669b5323c7b90af3400433b1690ae0f11bca8d7fcb4218b067a75f5e06", + "prepared_review_unit_hash": "a2614546cfee69ce8d0abd0f41af243e5217cae2d7c0cd4d40cadb260376dc09", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34112, - "estimated_input_tokens": 8528, - "estimated_eval_tokens": 17312 + "serialized_chars": 34027, + "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 is mostly a set of unrelated issues that only share broad surface themes via keyword similarity (imports, loading, shape mismatches, training scripts). I did not find any soft pair that looks like the same underlying bug/change.", - "confidence": 0.86, - "canonical_issue_reason": "issue:9171 is the strongest representative: a concrete, regression-style from_single_file loading bug with clear reproduction context and substantial discussion.", + "summary": "The cluster is highly heterogeneous: the suggested soft pairs share only broad vocabulary (imports, shapes, LoRA, ControlNet, etc.) but not the same underlying bug or change. No duplicate edges should be accepted.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue; the cluster spans many unrelated bugs and feature requests, so none is a reliable duplicate anchor.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9171 is the most actionable and broadly representative issue in the set; it describes a specific pipeline loading regression rather than a vague feature request.", + "best_issue_reason": "No issue is a strong global dedupe representative because the items do not converge on one code path or symptom.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5320", + "right": "issue:5341", + "accept": false, + "reason": "Both touch PEFT, but one is a `fuse_lora` API enhancement and the other is example-script cleanup; not the same change." + }, { "left": "issue:11448", "right": "issue:8637", "accept": false, - "reason": "Both are import/load failures, but they affect different pipelines and different missing symbols; not the same bug." + "reason": "Different import/missing-resource failures for different pipelines and symbols." }, { "left": "issue:1524", "right": "issue:5877", "accept": false, - "reason": "Textual inversion training quality and subprocess failures in training are different problems." + "reason": "Different textual inversion-related problems: poor training quality vs checkpoint/resume failure." }, { "left": "issue:3699", "right": "issue:4418", "accept": false, - "reason": "CUDA-on-OSX assertion and SDXL inpaint denoising_start behavior are unrelated." + "reason": "Mac/CUDA environment error versus SDXL inpaint `denoising_start` behavior; unrelated code paths." }, { "left": "issue:3140", "right": "issue:7191", "accept": false, - "reason": "Both mention import issues, but one is a missing pipeline import and the other is an unspecified strange import problem with different context." + "reason": "Both mention imports, but they concern different symbols and failure modes." }, { "left": "issue:3112", "right": "issue:5118", "accept": false, - "reason": "Both are ControlNet-related, but one is multi-controlnet inpainting and the other is reference_only usage; different code paths." + "reason": "Both are ControlNet-adjacent, but multi-controlnet inpainting and `reference_only` usage are different requests." }, { "left": "issue:10016", "right": "issue:7003", "accept": false, - "reason": "Both involve tensor shape mismatches on loading, but the model types and failure causes differ." + "reason": "Both are shape mismatches, but one is SD3.5 `from_single_file` loading and the other is an inpaint pipeline weight shape issue." }, { "left": "issue:10210", "right": "issue:8809", "accept": false, - "reason": "Img2img output similarity to input and feedforward sequence-length inconsistency are not the same bug." + "reason": "Img2img near-identity output is unrelated to feedforward output inconsistency with sequence length." }, { "left": "issue:4830", "right": "issue:8234", "accept": false, - "reason": "Both are tensor-shape/typing errors in different subsystems; not the same root cause." + "reason": "Different tensor problems: MultiControlNet size mismatch versus `ip_adapter_scale` dict/type error." }, { "left": "issue:5968", "right": "issue:9101", "accept": false, - "reason": "ONNX conversion for video pipelines and an SD3 training-script request are unrelated." + "reason": "ONNX conversion request versus SD3 training-script request; different artifacts and goals." }, { "left": "issue:7418", "right": "issue:8837", "accept": false, - "reason": "A bug in a specific community pipeline and a SlicedAttnProcessor bug are different code paths." + "reason": "Community example bug versus `SlicedAttnProcessor` bug; not the same code path." }, { "left": "issue:6560", "right": "issue:9171", "accept": false, - "reason": "Both involve from_single_file loading regressions, but one is a LoRA shape-size issue and the other is SD1.5 v_prediction handling; not the same bug." + "reason": "Both are regression-shaped loading issues, but they affect different models and loader paths." }, { "left": "issue:1060", "right": "issue:743", "accept": false, - "reason": "Both concern conversion scripts, but one is a safety-checker load problem and the other is a general ckpt conversion failure." + "reason": "Same conversion script family, but one is a safety-checker load issue and the other is checkpoint-to-diffusers conversion failure." }, { "left": "issue:5022", "right": "issue:9147", "accept": false, - "reason": "Different import/autopipeline failures in different model families; only the symptom type overlaps." + "reason": "Import-time tokenizer name error versus Flux autopipeline error; unrelated." }, { "left": "issue:10511", "right": "issue:10883", "accept": false, - "reason": "Scheduler redesign and Marigold update are unrelated feature requests." + "reason": "Scheduler redesign for SD3/Flux is unrelated to Marigold model/pipeline updates." }, { "left": "issue:10886", "right": "issue:10987", "accept": false, - "reason": "Both are diffusion model topics, but one is a feature idea and the other is a broader research request; not the same change." + "reason": "Similar high-level theme, but one is a feature idea and the other is a different spatio-temporal diffusion topic." }, { "left": "issue:10887", "right": "issue:11700", "accept": false, - "reason": "Importing a trainer class and adding Pruna integration are unrelated." + "reason": "Import error for a trainer class versus a model-loading integration feature request." }, { "left": "issue:11410", "right": "issue:9933", "accept": false, - "reason": "An attention_processor unpacking error and missing width/height params in SD3 img2img are different bugs." + "reason": "Attention processor unpacking error versus 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." + "reason": "Qwen-Image LoRA support request versus AutoencoderKLTemporalDecoder tiling support." }, { "left": "issue:2052", "right": "issue:3467", "accept": false, - "reason": "Both are resume-related, but one is checkpoint resume in textual inversion and the other is ControlNet step resumption; different implementations." + "reason": "Both are resume-related training bugs, but they involve different scripts and different faulty step/accounting behavior." }, { "left": "issue:2437", "right": "issue:3043", "accept": false, - "reason": "T2I-Adapter pipeline and ODISE are different pipeline additions, not duplicates." + "reason": "Feature requests for different pipelines/models: T2I-Adapter versus ODISE." }, { "left": "issue:3537", "right": "issue:4702", "accept": false, - "reason": "ControlNet conversion tooling and a VQ-VAE training example are unrelated." + "reason": "ControlNet conversion script versus a VQ-VAE training example; unrelated." }, { "left": "issue:4407", "right": "issue:4648", "accept": false, - "reason": "Local hub_download storage question and missing config.json loading error are different problems." + "reason": "Local hub download storage question versus missing `config.json` error when loading a model directory." }, { "left": "issue:4935", "right": "issue:7350", "accept": false, - "reason": "Both touch LoRA/ControlNet, but one is a training utility question and the other is ControlNet initialization from a LoRA UNet; not the same bug." - }, - { - "left": "issue:5476", - "right": "issue:7043", - "accept": false, - "reason": "DreamBooth xformers compatibility and custom captions are unrelated training concerns." + "reason": "Both mention LoRA and architecture conversion, but one is about training-script compatibility and the other about initializing ControlNet from a LoRA UNet." } ] }, @@ -54185,7 +54059,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:10382", @@ -54193,10 +54067,8 @@ "issue:10893", "issue:11221", "issue:11468", - "issue:11555", "issue:11574", "issue:12113", - "issue:12754", "issue:1290", "issue:1530", "issue:1919", @@ -54215,6 +54087,7 @@ "issue:4975", "issue:5037", "issue:5233", + "issue:5476", "issue:556", "issue:5737", "issue:5791", @@ -54225,6 +54098,7 @@ "issue:6234", "issue:6287", "issue:6666", + "issue:7043", "issue:7405", "issue:7460", "issue:8647", @@ -54237,6 +54111,7 @@ "issue:9894" ], "soft_pairs": [ + "issue:5476|issue:7043", "issue:6234|issue:6287", "issue:1082|issue:3647", "issue:10003|issue:9479", @@ -54260,187 +54135,186 @@ "issue:2091|issue:2661", "issue:2091|issue:2662", "issue:5791|issue:5897", - "issue:3085|issue:4529", - "issue:11555|issue:12754" + "issue:3085|issue:4529" ], - "prepared_review_unit_hash": "9672b655a77f386e59cf9d653266298069d6f18dc0b8fcd0cdc53ff75f0a0ae6", + "prepared_review_unit_hash": "1cb5a1621c01efb806815015176ef2b36d894a5f2802dd930c55312212c11866", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34337, - "estimated_input_tokens": 8585, - "estimated_eval_tokens": 17426 + "serialized_chars": 34405, + "estimated_input_tokens": 8602, + "estimated_eval_tokens": 17460 }, "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; these are mostly unrelated issues across different components, feature requests, and example docs. All soft edges should be rejected.", - "confidence": 0.98, - "canonical_issue_reason": "No single canonical issue fits this cluster: the items span distinct bugs, feature requests, and example/documentation problems rather than one duplicate theme.", + "summary": "This cluster is not a true duplicate set: it mixes unrelated bug reports, feature requests, and training/tutorial issues with only superficial lexical overlap. I would not consolidate it to a single canonical issue or PR.", + "confidence": 0.93, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:12754 is the strongest standalone issue candidate because it is detailed, open, and has the most discussion/references, but it does not represent the rest of the cluster.", + "best_issue_reason": "No strong canonical issue exists; if forced, issue #10003 is the broadest and most generic bug report, but it is still not a good umbrella for the rest of the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5476", + "right": "issue:7043", + "accept": false, + "reason": "Different topics: DreamBooth model loading compatibility vs custom captions during training." + }, { "left": "issue:6234", "right": "issue:6287", "accept": false, - "reason": "One is a broken training example script, the other is an overbroad dependency list in setup.py; different fixes and failure modes." + "reason": "Both are example/package hygiene issues, but one is about a specific training script and the other about setup.py dependency list; not the same bug." }, { "left": "issue:1082", "right": "issue:3647", "accept": false, - "reason": "Dreambooth CUDA matmul crash vs training with DeepFloyd; same area, but not the same concrete bug." + "reason": "Both mention DreamBooth, but one is a CUDA matmul execution failure and the other is training with DeepFloyd; different failures and code paths." }, { "left": "issue:10003", "right": "issue:9479", "accept": false, - "reason": "Scheduler bug at 1000 inference steps vs inpaint pipeline ignoring the mask; unrelated pipeline behavior." + "reason": "Scheduler bug at high inference steps is unrelated to inpainting changing unmasked areas." }, { "left": "issue:2185", "right": "issue:2552", "accept": false, - "reason": "Missing config files for a training script vs a question about an inpaint tutorial; not the same issue." + "reason": "Missing config files for a training script is unrelated to a StableDiffusion inpaint tutorial question." }, { "left": "issue:1530", "right": "issue:3162", "accept": false, - "reason": "Both mention learned classifier-free sampling embeddings, but one is a missing field in VQDiffusion and the other is an expected-but-not-passed error in a different context." + "reason": "Both concern learned_classifier_free_sampling_embeddings, but one is a missing pipeline field and the other is an expected argument mismatch; likely related, but not clearly the same concrete bug." }, { "left": "issue:6218", "right": "issue:9181", "accept": false, - "reason": "ControlNet/img2img batched seeds issue vs a strange noise dot artifact; different symptoms and code paths." + "reason": "Both involve ControlNet/img2img visual artifacts, but one is batched seeds behavior and the other is a strange noise dot; distinct symptoms and likely different fixes." }, { "left": "issue:4830", "right": "issue:5233", "accept": false, - "reason": "MultiControlNet tensor shape mismatch vs wrong step value in callback parameters; not the same bug." + "reason": "Tensor size mismatch in MultiControlNet is unrelated to wrong step values passed to callbacks." }, { "left": "issue:11574", "right": "issue:12113", "accept": false, - "reason": "KeyError for a VAE weight key vs WanImageToVideo channel mismatch; different models and failures." + "reason": "KeyError on VAE weight lookup is unrelated to WanImageToVideoPipeline channel mismatch." }, { "left": "issue:5737", "right": "issue:6016", "accept": false, - "reason": "Two separate converter failures for SDXL/torch.Size handling; both conversion-related but distinct error conditions." + "reason": "Both are conversion-script failures, but one is SDXL support and the other is a torch.Size() issue; not the same underlying bug." }, { "left": "issue:3788", "right": "issue:7405", "accept": false, - "reason": "New pipeline proposal vs a new model proposal; feature requests, not duplicates." + "reason": "Both are new model/pipeline requests, but they target different models and are not duplicates." }, { "left": "issue:10382", "right": "issue:9370", "accept": false, - "reason": "VAE forward return-type mismatch causing AttributeError vs a missing pooled_projection argument; different API breakages." + "reason": "Return-type mismatch in VAE encoder is unrelated to a missing pooled_projection argument in an embedding layer." }, { "left": "issue:11221", "right": "issue:11468", "accept": false, - "reason": "Autoencoder training non-convergence vs a float8 quantization question; unrelated topics." + "reason": "Training non-convergence and float8 quantization questions are different problems." }, { "left": "issue:4975", "right": "issue:8831", "accept": false, - "reason": "Performance problem in LoRA loading vs unsupported LoRA layers continuation; different aspects of LoRA support." + "reason": "Performance issue in LoRA loading is unrelated to unsupported layers continuation." }, { "left": "issue:10893", "right": "issue:9894", "accept": false, - "reason": "ControlNet integration request for CogVideoX vs DC-AE integration; separate feature requests." + "reason": "ControlNet integration request for CogVideoX is unrelated to DC-AE integration." }, { "left": "issue:5989", "right": "issue:7460", "accept": false, - "reason": "safetensors bug vs AdaLayerNorm bug; different subsystems." + "reason": "Generic safetensors bug and an AdaLayerNorm bug are unrelated." }, { "left": "issue:1919", "right": "issue:3647", "accept": false, - "reason": "Dreambooth example dependency packaging vs training with DeepFloyd; unrelated." + "reason": "Missing datasets in requirements.txt is unrelated to DreamBooth training with DeepFloyd." }, { "left": "issue:1290", "right": "issue:556", "accept": false, - "reason": "Community project announcement vs seamless tiling feature request; no shared bug/change." + "reason": "DreamArtist community entry and seamless texture tiling are not the same change or bug." }, { "left": "issue:4321", "right": "issue:8970", "accept": false, - "reason": "Black images on DirectML ONNX FP16 vs black images on MPS for Kolors; same symptom, but different backends/models and likely different causes." + "reason": "Both report black images, but one is ONNX DirectML FP16 output and the other is Kolors on MPS; different backends and pipelines." }, { "left": "issue:8647", "right": "issue:9171", "accept": false, - "reason": "ControlNet img2img NoneType iteration error vs single-file v_prediction regression; different code paths." + "reason": "ControlNet img2img NoneType error and SD 1.5 v_prediction regression are different code paths." }, { "left": "issue:5037", "right": "issue:6666", "accept": false, - "reason": "Second validation image argument error vs black validation images; both validation-related but not the same failure." + "reason": "Second validation image argument error is unrelated to black validation images." }, { "left": "issue:2091", "right": "issue:2661", "accept": false, - "reason": "Resume-from-checkpoint multi-GPU training issue vs checkpoint write error; different problems." + "reason": "Resume-from-checkpoint multi-GPU issue is not the same as checkpoint write errors." }, { "left": "issue:2091", "right": "issue:2662", "accept": false, - "reason": "Resume training pipeline issue vs generic checkpoint write error; not the same root cause." + "reason": "Resume-from-checkpoint multi-GPU issue is not the same as checkpoint write errors." }, { "left": "issue:5791", "right": "issue:5897", "accept": false, - "reason": "Dreambooth prior preservation/SNR gamma question vs LoRA device mismatch error; different training bugs." + "reason": "DreamBooth prior preservation/SNR gamma question is unrelated to LoRA device-placement errors." }, { "left": "issue:3085", "right": "issue:4529", "accept": false, - "reason": "Cache folder argument removal vs unexpected network_alpha in LoRA loader; unrelated API changes." - }, - { - "left": "issue:11555", - "right": "issue:12754", - "accept": false, - "reason": "device_map=\"auto\" support request vs from_pipe default dtype conversion bug; both pipeline-loading topics but different concrete issues." + "reason": "Cache-folder argument removal and unexpected network_alpha in LoRA loading are unrelated API breakages." } ] }, @@ -54462,7 +54336,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10772", @@ -54471,24 +54345,24 @@ "issue:11182", "issue:11298", "issue:1140", + "issue:11555", "issue:11561", "issue:11653", "issue:11749", "issue:12359", "issue:12695", + "issue:12754", "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", @@ -54513,6 +54387,7 @@ "issue:9744" ], "soft_pairs": [ + "issue:11555|issue:12754", "issue:9227|issue:9464", "issue:11093|issue:8850", "issue:7390|issue:8900", @@ -54536,197 +54411,193 @@ "issue:11182|issue:13279", "issue:3891|issue:6688", "issue:3431|issue:4782", - "issue:5576|issue:6493", - "issue:1934|issue:4159" + "issue:5576|issue:6493" ], - "prepared_review_unit_hash": "8f14ab838944064bb7c68c5217e904bf78c55e154515f0543826ffa682687a5f", + "prepared_review_unit_hash": "08c35a21b05e56f01016e16f7ab69b41327e472acaf8d3d3c3086227c26fd367", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 32986, - "estimated_input_tokens": 8247, - "estimated_eval_tokens": 16750 + "serialized_chars": 33009, + "estimated_input_tokens": 8253, + "estimated_eval_tokens": 16762 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a heterogeneous set of unrelated feature requests and bug reports; only the FreeNoise pair looks like a true duplicate. The rest are too broad or target different code paths, models, or symptoms to merge.", - "confidence": 0.63, - "canonical_issue_reason": "issue:5576 is the clearest anchor: it is the original FreeNoise request with broader discussion, and it directly matches issue:6493.", + "summary": "This set is a grab bag of unrelated feature requests and bug reports across different models, pipelines, schedulers, and training scripts. None of the soft pairs looks like a true duplicate or the same concrete change.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: the items span many distinct models and code paths, so there is no clear duplicate hub.", "canonical_pr_reason": null, - "best_issue_reason": "issue:5576 is the strongest representative issue in this set because it has the exact FreeNoise feature request and the only convincing duplicate partner.", + "best_issue_reason": "If forced to pick a representative, issue:11555 is the broadest library-level API question, but it still does not represent the rest of the set well.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11555", + "right": "issue:12754", + "accept": false, + "reason": "Different problems: device_map auto support vs from_pipe dtype casting to float32." + }, { "left": "issue:9227", "right": "issue:9464", "accept": false, - "reason": "Both are FLUX LoRA training issues, but they describe different failures: convergence vs IndexError with prodigy/text encoder." + "reason": "Both involve FLUX training, but one is a general run failure and the other is a specific Prodigy/train_text_encoder IndexError." }, { "left": "issue:11093", "right": "issue:8850", "accept": false, - "reason": "One is a broken TorchAO example; the other is a broken community-pipelines mirror. Different artifacts and failure modes." + "reason": "TorchAO example breakage and community mirror breakage are unrelated issues." }, { "left": "issue:7390", "right": "issue:8900", "accept": false, - "reason": "Both mention from_single_file on SDXL, but the concrete pipelines/models differ enough that this is not the same bug." + "reason": "Both mention from_single_file, but they affect different pipelines/models and likely different loader paths." }, { "left": "issue:4363", "right": "issue:4436", "accept": false, - "reason": "Both concern loading SDXL/Civitai safetensors, but one is a usage question and the other is conversion behavior; not the same underlying issue." + "reason": "Loading an SDXL refiner checkpoint and converting CIVITAI safetensors with VAE are different tasks." }, { "left": "issue:5889", "right": "issue:9744", "accept": false, - "reason": "Different video-model requests: Stable Video Diffusion vs Mochi. Same broad area, not the same change." + "reason": "Different video-model requests: Stable Video Diffusion vs Mochi." }, { "left": "issue:3891", "right": "issue:7219", "accept": false, - "reason": "Tortoise TTS pipeline and SUPIR upscaler are unrelated feature requests." + "reason": "Tortoise TTS and SUPIR upscaler are unrelated feature requests." }, { "left": "issue:1434", "right": "issue:2891", "accept": false, - "reason": "One is an OOM bug in upscaling; the other is a docs/support mismatch for embeds. Different problems." + "reason": "OOM in upscaling is a runtime bug; missing embed support is a docs/API mismatch." }, { "left": "issue:11298", "right": "issue:11653", "accept": false, - "reason": "Both touch LoRA loading, but one is PEFT key errors during hotswapping and the other is support for .alpha keys. Not the same code-path issue." + "reason": "Both are LoRA-loading topics, but one is a PEFT key error and the other is HiDream .alpha-key support." }, { "left": "issue:1140", "right": "issue:1290", "accept": false, - "reason": "Hypernetworks and DreamArtist are distinct community features." + "reason": "Hypernetworks and DreamArtist are different community concepts, not the same change." }, { "left": "issue:1962", "right": "issue:4949", "accept": false, - "reason": "Both are about video generation, but they target different pipelines/features and different work items." + "reason": "General video generation request vs ProPainter in/outpainting are different features." }, { "left": "issue:11010", "right": "issue:12359", "accept": false, - "reason": "Support for a Chroma model and a documentation bug about guidance_scale are different kinds of issues." + "reason": "Support for a Chroma model and a guidance_scale documentation bug are not the same issue." }, { "left": "issue:11749", "right": "issue:9090", "accept": false, - "reason": "Different scheduler bugs: floating-point timestep errors vs repeated PNDM timesteps." + "reason": "Different scheduler bugs: floating-point timestep errors vs repeated inference timesteps." }, { "left": "issue:9164", "right": "issue:9464", "accept": false, - "reason": "Both involve FLUX LoRA training, but one is a convergence problem in an example and the other is an IndexError with a specific training setup." + "reason": "Different training failures in different FLUX scripts and with different symptoms." }, { "left": "issue:5485", "right": "issue:7080", "accept": false, - "reason": "ControlNet batch inference slowness and WandB output deferral in SDXL training are different issues." + "reason": "ControlNet batch slowdown and wandb-related output divergence are not the same bug." }, { "left": "issue:10100", "right": "issue:11561", "accept": false, - "reason": "ConsisID support and FluxFill IP-Adapter loading are unrelated feature requests." + "reason": "ConsisID support and FluxFill IP-Adapter loading are separate feature requests." }, { "left": "issue:10772", "right": "issue:12695", "accept": false, - "reason": "Sana ControlNet support and Hunyuan v1.5 support are separate model additions." + "reason": "Sana ControlNet support and Hunyuan v1.5 support are distinct model additions." }, { "left": "issue:6132", "right": "issue:6688", "accept": false, - "reason": "A serialization/loadable-classes change and MotionCntrl support are unrelated." + "reason": "A serialization/loading API change and MotionCntrl support are unrelated." }, { "left": "issue:13350", "right": "issue:13416", "accept": false, - "reason": "Batch inference for FLUX.2-klein and negative-prompt usage for zimage/flux2 are different support questions." + "reason": "Different user questions: batch inference for FLUX.2-klein-9B vs negative prompt usage for zimage/flux2." }, { "left": "issue:3455", "right": "issue:7670", "accept": false, - "reason": "Pretrained instruct-pix2pix training and IDDPM usage are unrelated." + "reason": "Training instruct-pix2pix and asking about IDDPM are unrelated." }, { "left": "issue:4149", "right": "issue:5607", "accept": false, - "reason": "Both are tensor-shape/runtime errors, but they come from different pipelines and are not clearly the same bug." + "reason": "Both are tensor mismatch errors, but they describe different pipelines and failure modes." }, { "left": "issue:11182", "right": "issue:13279", "accept": false, - "reason": "Unnecessary BF16 download and AutoencoderRAE loading failure with older transformers are different loading problems." + "reason": "BF16 download behavior and an AutoencoderRAE/transformers compatibility error are different problems." }, { "left": "issue:3891", "right": "issue:6688", "accept": false, - "reason": "Tortoise TTS and MotionCntrl are different feature requests." + "reason": "Tortoise TTS and MotionCntrl are unrelated feature requests." }, { "left": "issue:3431", "right": "issue:4782", "accept": false, - "reason": "Inpainting+ControlNet poor results and mask==0 being modified are related broadly, but not the same concrete defect." + "reason": "Both involve inpainting, but one is poor ControlNet results and the other is mask handling corruption." }, { "left": "issue:5576", "right": "issue:6493", - "accept": true, - "reason": "Both are the same FreeNoise feature request; the titles align on the exact underlying change." - }, - { - "left": "issue:1934", - "right": "issue:4159", "accept": false, - "reason": "CPU offload memory growth and DiffEdit VRAM blowout are different memory issues in different paths." + "reason": "Both mention FreeNoise, but one is a scheduler request and the other is a pipeline item; not clearly the same concrete change." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The only accepted pair, issue:5576 and issue:6493, is well supported by the matching FreeNoise request titles. The remaining pairs are reasonably rejected because the packet shows only weak textual similarity and no stronger linkage evidence." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -54741,7 +54612,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10514", "issue:10639", @@ -54755,14 +54626,15 @@ "issue:13062", "issue:13429", "issue:1790", + "issue:1934", "issue:2299", - "issue:2319", "issue:2324", "issue:2361", "issue:2737", "issue:2755", "issue:2891", "issue:3570", + "issue:4159", "issue:4236", "issue:4524", "issue:4876", @@ -54774,7 +54646,6 @@ "issue:5258", "issue:5463", "issue:5656", - "issue:590", "issue:5981", "issue:6117", "issue:6132", @@ -54792,6 +54663,7 @@ "issue:9460" ], "soft_pairs": [ + "issue:1934|issue:4159", "issue:10639|issue:12752", "issue:2737|issue:7312", "issue:2755|issue:3570", @@ -54814,181 +54686,180 @@ "issue:8526|issue:8593", "issue:9012|issue:9460", "issue:12666|issue:13062", - "issue:4524|issue:8410", - "issue:2319|issue:590" + "issue:4524|issue:8410" ], - "prepared_review_unit_hash": "692ec76d8b653a6f0d65d75893431af10f2aa7f480ea22ac8b74dabce5c8a53e", + "prepared_review_unit_hash": "3e5c6f14a7777dde1ac225d1dee4c0c006e61dc728952dd435bb2855af9c595d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32766, - "estimated_input_tokens": 8192, - "estimated_eval_tokens": 16640 + "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 set of unrelated false-positive lexical matches: feature requests for different pipelines/models, plus several distinct training/scheduler bugs. None of the soft pairs look like the same underlying issue. If an anchor is needed, issue 8410 is the broadest representative, but the cluster is heterogeneous.", - "confidence": 0.95, - "canonical_issue_reason": "No single true duplicate emerges; if forced to anchor the cluster, issue 8410 is the broadest pipeline-support request and the most generic representative.", + "summary": "This cluster is heterogeneous: most items are unrelated feature requests or bug reports across different pipelines, training scripts, schedulers, and backends. No soft edge pair looks like the same underlying issue/change, so all should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": "If a representative issue is needed, #12574 is the strongest canonical candidate: it is a concrete, well-scoped bug report with a specific failing code path and active discussion.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 8410 is the best representative because it is the most general feature request in the set, but it is still not a duplicate match for the others.", + "best_issue_reason": "#12574 is the most actionable and specific issue in the set, with a clear root-cause description and enough detail to serve as the best representative issue.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1934", + "right": "issue:4159", + "accept": false, + "reason": "Both mention memory/VRAM, but one is about cpu_offload memory consumption and the other about DiffEdit VRAM requirements; different pipelines and failure modes." + }, { "left": "issue:10639", "right": "issue:12752", "accept": false, - "reason": "Different pipeline/model requests: Lumina-Image 2.0 support vs Z-Image img2img/inpainting." + "reason": "Both are model support requests, but Lumina-Image 2.0 and Z-Image img2img/inpainting are unrelated models and changes." }, { "left": "issue:2737", "right": "issue:7312", "accept": false, - "reason": "Unrelated scheduler guidance support vs direct reward finetuning support." + "reason": "DPMSolver CLIP guidance support and AlignProp direct reward finetuning are different features in different training/inference paths." }, { "left": "issue:2755", "right": "issue:3570", "accept": false, - "reason": "Float16 checkpoint loading bug is unrelated to disabling downloads during ckpt loading." + "reason": "One is about loading float16 stable diffusion checkpoints, the other about disabling downloads when loading ckpt; similar API area but not the same bug." }, { "left": "issue:4876", "right": "issue:5656", "accept": false, - "reason": "Lora std argument request is unrelated to adding a LoRA loader to community pipelines." + "reason": "LoRA layer std as an argument and adding a LoRA loader to community pipelines are unrelated feature requests." }, { "left": "issue:5118", "right": "issue:6132", "accept": false, - "reason": "ControlNet reference_only usage question is unrelated to adding PyTorch LOADABLE_CLASSES." + "reason": "ControlNet reference_only usage and adding LOADABLE_CLASSES are unrelated topics; one is model behavior, the other serialization/load infrastructure." }, { "left": "issue:10817", "right": "issue:8511", "accept": false, - "reason": "Missing SD3 ControlNets in auto_pipeline is unrelated to text-encoder unloading in SD3 training scripts." + "reason": "Both touch SD3 tooling, but one is missing controlnets in auto_pipeline and the other is about unloading text encoders in training scripts." }, { "left": "issue:10514", "right": "issue:12574", "accept": false, - "reason": "Sana 4k resolution-binning limitation is unrelated to WanVideoToVideoPipeline control-argument handling." + "reason": "Sana 4K resolution binning and WanVideoToVideoPipeline VACE control-argument handling are different models and different bugs." }, { "left": "issue:2891", "right": "issue:7168", "accept": false, - "reason": "UpscalePipeline embed support mismatch is unrelated to IP-Adapter image embed tensor shape handling." + "reason": "One is a docs/support mismatch for embeds in StableDiffusionUpscalePipeline; the other is about IP-Adapter image embed tensor shape/format." }, { "left": "issue:11973", "right": "issue:9161", "accept": false, - "reason": "Missing required instance_prompt in one script is unrelated to distributed bugs in another training script." + "reason": "Both concern Flux training scripts, but one is a missing required CLI prompt argument and the other is distributed training bugs." }, { "left": "issue:2299", "right": "issue:5034", "accept": false, - "reason": "Fine-tuned checkpoint support request is unrelated to progress-bar display issues while loading checkpoints." + "reason": "Fast-stable-diffusion checkpoint support and checkpoint-loading progress bar rendering are separate issues." }, { "left": "issue:2361", "right": "issue:5197", "accept": false, - "reason": "Checkpoint save crash in finetuning is unrelated to multi-GPU slowdown performance regression." + "reason": "Checkpoint save crashes and multi-GPU slower-than-single-GPU performance are different training problems with different causes." }, { "left": "issue:4913", "right": "issue:8790", "accept": false, - "reason": "Specific ControlNet model request is unrelated to SDXL TensorRT plus IP Adapter integration." + "reason": "ControlNet-OpenPose SDXL support and SDXL TensorRT + IP Adapter are distinct feature requests in different integration paths." }, { "left": "issue:5981", "right": "issue:6117", "accept": false, - "reason": "Different scheduler bugs: DPMSolverMultistepScheduler vs CMStochasticIterativeScheduler add_noise." + "reason": "Both are scheduler bugs, but DPMSolverMultistepScheduler and CMStochasticIterativeScheduler are different code paths and failure modes." }, { "left": "issue:1156", "right": "issue:713", "accept": false, - "reason": "Generic training failure reports are too broad and describe different contexts, not the same bug." + "reason": "Both are generic training-error reports, but they are too vague and provide no evidence of the same root cause." }, { "left": "issue:5463", "right": "issue:6357", "accept": false, - "reason": "image_latents UnboundLocalError is unrelated to API-vs-local result differences." + "reason": "An UnboundLocalError in image_latents assignment is unrelated to API-vs-local result differences." }, { "left": "issue:5118", "right": "issue:5168", "accept": false, - "reason": "ControlNet reference_only usage question is unrelated to ControlNet-XS support." + "reason": "ControlNet reference_only usage and ControlNet-XS support are different requests; one is an API/how-to question, the other a model variant request." }, { "left": "issue:4236", "right": "issue:5258", "accept": false, - "reason": "SDXL refiner text-encoder registration issue is unrelated to ControlNet inpaint with refiner model." + "reason": "Both mention SDXL/refiner, but one is about registering the text encoder and the other is a controlnet inpaint/refiner integration issue." }, { "left": "issue:12358", "right": "issue:13429", "accept": false, - "reason": "Different model additions: Lumina-DiMOO pipeline vs JoyAI-Image-Edit." + "reason": "Lumina-DiMOO and JoyAI-Image-Edit are different pipeline additions with no shared underlying bug or implementation." }, { "left": "issue:1790", "right": "issue:2324", "accept": false, - "reason": "General training explanation request is unrelated to Dreambooth training not reading instance data." + "reason": "A generic 'How training works?' question is not the same as Dreambooth not reading instance data." }, { "left": "issue:8526", "right": "issue:8593", "accept": false, - "reason": "MPS scale handling in SD3 is unrelated to SD3 bf16 CPU noise generation." + "reason": "Both are SD3 device/dtype issues, but one is ineffective MPS scale handling and the other is bfloat16 noise on CPU; different symptoms and code paths." }, { "left": "issue:9012", "right": "issue:9460", "accept": false, - "reason": "Weight-loading error for SD3ControlNetModel is unrelated to assigning a list of controlnet models to the pipeline." + "reason": "Loading SD3ControlNetModel weights and supporting a list of SD3ControlNetModel instances are separate controlnet API issues." }, { "left": "issue:12666", "right": "issue:13062", "accept": false, - "reason": "Kandinsky 5.0 video pipeline availability is unrelated to onnxruntime-windowsml support." + "reason": "Kandinsky 5.0 video pipeline support and blocking onnxruntime-windowsml are unrelated platform/model changes." }, { "left": "issue:4524", "right": "issue:8410", "accept": false, - "reason": "AnimateDiff pipeline addition and TextDiffuser pipeline support are different feature requests, not the same change." - }, - { - "left": "issue:2319", - "right": "issue:590", - "accept": false, - "reason": "Method typo in checkpoint loading is unrelated to the Karras scheduler noise-level formula typo." + "reason": "AnimateDiff and TextDiffuser are different feature requests for different model families; same broad area, not the same change." } ] }, @@ -55010,7 +54881,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10147", @@ -55034,6 +54905,7 @@ "issue:2213", "issue:2294", "issue:2310", + "issue:2319", "issue:2646", "issue:3094", "issue:3113", @@ -55042,13 +54914,12 @@ "issue:3350", "issue:4042", "issue:4232", - "issue:4241", "issue:4619", "issue:4815", "issue:4846", "issue:4907", "issue:5545", - "issue:5656", + "issue:590", "issue:6095", "issue:6688", "issue:6866", @@ -55062,6 +54933,7 @@ "issue:9926" ], "soft_pairs": [ + "issue:2319|issue:590", "issue:2646|issue:6095", "issue:1305|issue:3113", "issue:6866|issue:9511", @@ -55084,181 +54956,180 @@ "issue:12458|issue:12738", "issue:2213|issue:3094", "issue:2310|issue:4042", - "issue:319|issue:321", - "issue:4241|issue:5656" + "issue:319|issue:321" ], - "prepared_review_unit_hash": "4281e503e3452a80e1eda1e970872b12392c4e6a591f007204b0771e4ae7bb6d", + "prepared_review_unit_hash": "b06ee3c3be8b9f43b8bc73e1e63444294e973c9f6d62bd29ea0c82cd7aea9be7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33866, - "estimated_input_tokens": 8467, - "estimated_eval_tokens": 17190 + "serialized_chars": 33880, + "estimated_input_tokens": 8470, + "estimated_eval_tokens": 17196 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly theme-similar rather than duplicate-similar: it mixes unrelated model support requests, pipeline bugs, loading/import errors, and feature asks. None of the soft-edge pairs look like the same underlying issue/change.", - "confidence": 0.95, - "canonical_issue_reason": "No single canonical issue stands out; the items are heterogeneous and do not collapse to one underlying bug or feature request.", + "summary": "This set is a loose thematic collection of diffusers bugs/features, not a true duplicate cluster. All soft matches are superficial (shared words like typo, import error, crash, batch, OOM, support) but they point to different pipelines, models, or code paths, so every soft edge should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No single issue is a safe canonical here: the items are heterogeneous bug reports and feature requests rather than one underlying problem.", "canonical_pr_reason": null, - "best_issue_reason": "If a representative issue is needed, issue 8604 is the strongest standalone bug report: it has the most detailed runtime-failure discussion and broadest signal, though it is not a duplicate of the others.", + "best_issue_reason": "No issue is a strong global representative for duplicates triage; at best these are topic-neighbors, not the same defect or change.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2319", + "right": "issue:590", + "accept": false, + "reason": "Both mention typos, but one is about load_pipeline_from_original_stable_diffusion_ckpt and the other about a Karras scheduler formula; different code paths." + }, { "left": "issue:2646", "right": "issue:6095", "accept": false, - "reason": "Both are IndexError reports, but they affect different pipelines and failure paths (tiled VAE vs SVD scheduling)." + "reason": "Both are IndexError reports, but one is about tiled VAE and the other SVD scheduling_euler_discrete; not the same bug." }, { "left": "issue:1305", "right": "issue:3113", "accept": false, - "reason": "Both relate to image editing/layout control, but they describe different methods and different problem statements." + "reason": "Both are paper-style feature requests, but they propose different methods: Direct Inversion vs Cross-Attention Guidance." }, { "left": "issue:6866", "right": "issue:9511", "accept": false, - "reason": "One is a support request for IP-Adapter on a specific pipeline; the other is batching support for multi-controlnet. Same area, different change." + "reason": "Both involve StableDiffusionXLControlNetInpaintPipeline, but one is IP-Adapter support and the other is multi-controlnet batching; separate changes." }, { "left": "issue:4619", "right": "issue:7138", "accept": false, - "reason": "Both involve SDXL training/model structure issues, but one is a dtype mismatch during LoRA training and the other is a UNet structure mismatch with the official model." + "reason": "Both concern SDXL-related training/model mismatch, but one is a dtype mismatch in a training script and the other is a structural UNet mismatch in the official model." }, { "left": "issue:10147", "right": "issue:12221", "accept": false, - "reason": "Different feature requests for different integrations: MV-Adapter multi-view generation vs DiffSynth ControlNet support." + "reason": "Both are support requests for different adapter integrations (MV-Adapter vs DiffSynth Controlnet); not the same underlying feature." }, { "left": "issue:11223", "right": "issue:13079", "accept": false, - "reason": "Both mention OOMs, but they are distinct models and code paths: WAN with LoRAs vs FLUX.2-klein in a loop." + "reason": "Both mention OOM, but they involve different models and scenarios (WAN with loras vs FLUX.2-klein in a loop)." }, { "left": "issue:3350", "right": "issue:5545", "accept": false, - "reason": "Different pipelines and errors; animov-512x issues are not the same as a StableDiffusionInpaintPipeline problem." + "reason": "Both are inference problems, but they refer to different pipelines/models and different failures." }, { "left": "issue:8604", "right": "issue:8989", "accept": false, - "reason": "Both are runtime bugs, but one is T5 float16 corruption and the other is sequential offloading in Stable Audio." + "reason": "Both are runtime/model-loading issues, but one is T5 float16 corruption and the other is Stable Audio sequential offloading; different code paths." }, { "left": "issue:10100", "right": "issue:6688", "accept": false, - "reason": "Both are model/pipeline support requests, but ConsisID and MotionCntrl are separate additions." + "reason": "Both are feature requests for new model support, but ConsisID and MotionCntrl are distinct integrations." }, { "left": "issue:10231", "right": "issue:11435", "accept": false, - "reason": "Both are ImportErrors, but they refer to different environments and missing pipeline exports." + "reason": "Both are ImportError reports, but they involve different imported pipelines and likely different missing exports or environment issues." }, { "left": "issue:10848", "right": "issue:10952", "accept": false, - "reason": "Both concern adapter/loading APIs, but one is an unexpected `device` kwarg for meta loading and the other is a missing adapter name during LoRA load." + "reason": "One is an unexpected device keyword in load_model_dict_into_meta; the other is an adapter-name registration error. Different bugs." }, { "left": "issue:4232", "right": "issue:4846", "accept": false, - "reason": "Different tasks: instruct-pix2pix with ControlNet condition vs DreamBooth training quality." + "reason": "One is instruct-pix2pix with controlnet condition code, the other is a dreambooth training issue; unrelated examples and failures." }, { "left": "issue:8939", "right": "issue:9850", "accept": false, - "reason": "A tokenizer-loading failure is unrelated to a gradient-checkpointing feature request." + "reason": "A tokenizer-loading ImportError is unrelated to gradient checkpointing with frozen models." }, { "left": "issue:11581", "right": "issue:13162", "accept": false, - "reason": "Both are Flux-related, but one is an IP-Adapter dtype constructor error and the other is LoRA support for a different Flux.2-klein pipeline." + "reason": "Both are FLUX-related, but one is an IP-Adapter loading dtype error and the other is LoRA support; not the same problem." }, { "left": "issue:11721", "right": "issue:8832", "accept": false, - "reason": "Both are crashes, but they occur in different pipelines and at different stages (load-time vs inference call)." + "reason": "Both are crashes, but they occur in different pipelines and contexts; no shared underlying defect is evident." }, { "left": "issue:1099", "right": "issue:2294", "accept": false, - "reason": "Distinct missing-class/import problems for different components and pipeline types." + "reason": "No class name for dreambooth and missing StableDiffusionVideoInpaintPipeline import are unrelated." }, { "left": "issue:4815", "right": "issue:4907", "accept": false, - "reason": "One asks for latents-only inputs; the other reports a warning with SDXL inpainting. Same subsystem, different issue." + "reason": "One requests latents-only support for inpainting pipelines; the other reports a warning with a new inpainting model. Different issues." }, { "left": "issue:12078", "right": "issue:12995", "accept": false, - "reason": "A validation-input problem in Flux Control finetuning is unrelated to a Cosmos pipeline behavior question." + "reason": "Flux Control finetuning validation-input example and Cosmos-Predict2.5 video behavior are unrelated." }, { "left": "issue:12367", "right": "issue:9926", "accept": false, - "reason": "Separate feature requests: Qwen-Image Eligen LoRA support vs gguf quantization/speed-up support." + "reason": "Qwen-Image Eligen LoRA support and gguf quantize/speed-up support are different features." }, { "left": "issue:12458", "right": "issue:12738", "accept": false, - "reason": "Both are batch-related, but one is a Qwen-image-edit feature/bug report and the other is a ZImagePipeline assertion failure." + "reason": "Both mention batching, but one is a Qwen-image-edit batch inference request/issue and the other is a ZImagePipeline assertion error; not the same bug." }, { "left": "issue:2213", "right": "issue:3094", "accept": false, - "reason": "Different training-resource issues: TPU distributed hang vs CUDA out-of-memory." + "reason": "A TPU distributed-environment hang and a CUDA OOM during pokemon finetuning are different training failures." }, { "left": "issue:2310", "right": "issue:4042", "accept": false, - "reason": "Both involve inpainting/editing, but one is about LDM inpainting/LaMA cleaner and the other is combining reference-only with inpainting and depth control." + "reason": "Both are inpainting-adjacent questions, but one is about LDM inpainting/LaMA cleaner and the other about combining reference-only with inpainting and depth control." }, { "left": "issue:319", "right": "issue:321", "accept": false, - "reason": "Different model/paper requests: VQ-Diffusion and Blended Diffusion are not the same change." - }, - { - "left": "issue:4241", - "right": "issue:5656", - "accept": false, - "reason": "A LoRA fine-tuning support request is not the same as adding a LoRA loader to community pipelines." + "reason": "These are distinct model/paper requests (VQ-Diffusion vs Blended Diffusion), not duplicates." } ] }, @@ -55280,16 +55151,14 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", "issue:10550", "issue:10817", "issue:10928", - "issue:11222", "issue:11275", "issue:11279", - "issue:11283", "issue:11412", "issue:11448", "issue:11555", @@ -55312,6 +55181,7 @@ "issue:3467", "issue:4061", "issue:4073", + "issue:4241", "issue:4269", "issue:4286", "issue:4580", @@ -55322,6 +55192,7 @@ "issue:5314", "issue:5573", "issue:5594", + "issue:5656", "issue:5927", "issue:6688", "issue:7789", @@ -55332,6 +55203,7 @@ "issue:9637" ], "soft_pairs": [ + "issue:4241|issue:5656", "issue:11412|issue:11448", "issue:11275|issue:9026", "issue:3467|issue:5573", @@ -55355,194 +55227,190 @@ "issue:4750|issue:5927", "issue:11555|issue:9138", "issue:1934|issue:3209", - "issue:1896|issue:2471", - "issue:11222|issue:11283" + "issue:1896|issue:2471" ], - "prepared_review_unit_hash": "976cff4c855135c4f95488cf7380af7b742c5e26bcfcc24752eeeef3f0269f0b", + "prepared_review_unit_hash": "955edf8cf0c54dc2a0310e293e081a07b9d95d253039ad0cd6c5a401938bd314", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34001, - "estimated_input_tokens": 8501, - "estimated_eval_tokens": 17258 + "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: the soft pairs mostly link unrelated bug reports or feature requests that only share broad subsystem keywords. I don\u2019t see a single underlying issue or PR that can serve as a true canonical representative.", - "confidence": 0.96, - "canonical_issue_reason": null, + "summary": "Mostly unrelated issues across different features/subsystems. The only plausible duplicate pair is the SDXL LoRA-loading reports (#4061 and #4286); the rest are too different in concrete error, API, or code path to merge as duplicates.", + "confidence": 0.76, + "canonical_issue_reason": "#4286 is the clearest concrete report for the SDXL LoRA-loading failure (`load_lora_weights` not working in SDXL), while #4061 is a shorter, more generic symptom report.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "#4286 is the best representative issue because it names the specific failing API and model family, making it the most actionable canonical duplicate target.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4241", + "right": "issue:5656", + "accept": false, + "reason": "Both mention LoRA, but one is about fine-tuning unidiffusers and the other is about adding a LoRA loader to community pipelines; different change requests." + }, { "left": "issue:11412", "right": "issue:11448", "accept": false, - "reason": "Both are model/resource not-found reports, but they reference different artifacts and failure points; not the same underlying bug." + "reason": "Both are model-not-found/404 reports, but for different repositories/models and different loader paths." }, { "left": "issue:11275", "right": "issue:9026", "accept": false, - "reason": "One is a VAE NoneType addition error, the other is an unexpected keyword in load_checkpoint_and_dispatch; unrelated code paths." + "reason": "A VAE addition bug and an unexpected keyword argument in checkpoint dispatch are unrelated code paths." }, { "left": "issue:3467", "right": "issue:5573", "accept": false, - "reason": "Different ControlNet problems: resume-step accounting vs prolonged weight initialization." + "reason": "Both are ControlNet training issues, but one is resume-step accounting and the other is initialization timing; not the same bug." }, { "left": "issue:4580", "right": "issue:5002", "accept": false, - "reason": "Both mention Karras-related scheduler behavior, but one is a UniPC runtime exception and the other is a missing constructor argument in KDPM2 schedulers." + "reason": "Both involve Karras sigmas, but one is a UniPC schedule exception and the other is missing scheduler arguments in different classes." }, { "left": "issue:13043", "right": "issue:13176", "accept": false, - "reason": "Different attention backends and errors; one is a Blackwell kernel-image incompatibility, the other is a UNet attention failure." + "reason": "Different attention failures with different backends and failure modes; not the same underlying bug." }, { "left": "issue:7789", "right": "issue:7842", "accept": false, - "reason": "Both involve DeepFloyd on MPS, but one is a float32 requirement and the other is an input-size tensor mismatch." + "reason": "One is an MPS float32 requirement, the other is an image-size tensor mismatch in DeepFloyd stage 2." }, { "left": "issue:10928", "right": "issue:13176", "accept": false, - "reason": "A missing file on UNet loading is unrelated to an attention error." + "reason": "A missing checkpoint file error and an attention runtime error are unrelated." }, { "left": "issue:11709", "right": "issue:12567", "accept": false, - "reason": "CausVid LoRA key loading and Ulysses Attention noise generation are different bugs in different paths." + "reason": "LoRA key-loading failure versus Ulysses attention noise generation; different components and symptoms." }, { "left": "issue:1633", "right": "issue:5594", "accept": false, - "reason": "Karras-sigma option support and SDXL LoRA memory usage are unrelated." + "reason": "A scheduler option request and SDXL LoRA memory-saving request are different features, not one bug." }, { "left": "issue:2437", "right": "issue:6688", "accept": false, - "reason": "Separate feature requests for different pipelines; not the same change." + "reason": "Two different pipeline feature requests with no shared concrete implementation bug." }, { "left": "issue:10550", "right": "issue:11279", "accept": false, - "reason": "LoRA loading into a quantized model and initialization of new layers in partially pre-trained models are different model-loading issues." + "reason": "Quantized LoRA loading versus initializing new layers in partially pretrained models are different loading/training scenarios." }, { "left": "issue:2560", "right": "issue:3209", "accept": false, - "reason": "Different numerical issues: generator-list output divergence vs AutoencoderKL NaNs on large images." + "reason": "Different failures: generator-list nondeterminism versus AutoencoderKL NaNs on large images." }, { "left": "issue:1358", "right": "issue:2462", "accept": false, - "reason": "Safetensors support and IterableDataset finetuning are unrelated." + "reason": "Safetensors support and IterableDataset finetuning support are unrelated enhancement requests." }, { "left": "issue:4619", "right": "issue:4839", "accept": false, - "reason": "Both are LoRA-related, but one is a dtype/bias mismatch in SDXL training and the other is a lora_scale type error." + "reason": "Training dtype mismatch and lora_scale type errors are distinct bugs in different parts of the LoRA path." }, { "left": "issue:3289", "right": "issue:4073", "accept": false, - "reason": "DeepFloyd upscaling bug and IF safety-checker astype error are separate failures." + "reason": "DeepFloyd super-resolution resizing bug versus a safety-checker attribute error; different code paths." }, { "left": "issue:4061", "right": "issue:4286", - "accept": false, - "reason": "Both concern SDXL LoRA loading, but the reports do not clearly point to the same concrete bug or fixable code path." - }, - { - "left": "issue:3140", - "right": "issue:4269", - "accept": false, - "reason": "Importing ControlNet and a check_inputs default-argument TypeError are unrelated." + "accept": true, + "reason": "Both report SDXL LoRA loading failing, centered on the same underlying `load_lora_weights`/LoRA-in-SDXL path." }, { "left": "issue:10817", "right": "issue:8649", "accept": false, - "reason": "Auto_pipeline missing SD3 control nets is unrelated to num_images_per_prompt handling." + "reason": "Missing SD3 control nets and `num_images_per_prompt` behavior are separate SD3 pipeline issues." }, { "left": "issue:10191", "right": "issue:9637", "accept": false, - "reason": "GPU device selection and xFormers attention-mask incompatibility are different issues." + "reason": "GPU device selection in training is unrelated to the xFormers attention-mask bfloat16 kernel bug." }, { "left": "issue:2310", "right": "issue:5314", "accept": false, - "reason": "LDM inpainting/LAMA cleaner and ControlNet reference inpainting are distinct pipeline features." + "reason": "Both mention inpainting, but one is LDM/LAMA cleaner and the other is a ControlNet reference inpainting pipeline request." }, { "left": "issue:4750", "right": "issue:5927", "accept": false, - "reason": "Both mention inpaint/LAMA, but one is an inpaint+LAMA preprocessor request and the other is an IP-Adapter/reference-adain+attn combo; not the same bug or change." + "reason": "Both reference inpaint/lama concepts, but one is a preprocessor request and the other is a broader combined-feature request." }, { "left": "issue:11555", "right": "issue:9138", "accept": false, - "reason": "device_map=\"auto\" support and a generic int-vs-str TypeError are unrelated." + "reason": "`device_map=\"auto\"` support and an int-vs-str TypeError are not the same issue." }, { "left": "issue:1934", "right": "issue:3209", "accept": false, - "reason": "CPU offload memory use and AutoencoderKL NaNs are different problems." + "reason": "CPU offload memory usage and AutoencoderKL NaNs are unrelated runtime problems." }, { "left": "issue:1896", "right": "issue:2471", "accept": false, - "reason": "Different pipeline bugs: CLIP-guided Stable Diffusion dict size handling vs Attend-and-Excite size behavior." - }, - { - "left": "issue:11222", - "right": "issue:11283", - "accept": false, - "reason": "Adding more WAN LoRAs and a WAN header deserialization error are not the same underlying issue." + "reason": "Different pipeline size-handling failures with different repros and code paths." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only duplicate-like pair supported by the packet is indeed #4061/#4286 (both SDXL LoRA loading failures), and the rest are reasonably rejected as different bugs, features, or code paths. No evidence of overclaiming." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -55557,11 +55425,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10111", "issue:10636", "issue:1106", + "issue:11222", + "issue:11283", "issue:11644", "issue:12195", "issue:1543", @@ -55578,7 +55448,6 @@ "issue:460", "issue:4646", "issue:4750", - "issue:4801", "issue:5225", "issue:5395", "issue:5480", @@ -55591,7 +55460,6 @@ "issue:7049", "issue:746", "issue:7695", - "issue:817", "issue:8320", "issue:8432", "issue:8493", @@ -55609,6 +55477,7 @@ "issue:9930" ], "soft_pairs": [ + "issue:11222|issue:11283", "issue:852|issue:940", "issue:1106|issue:3221", "issue:2437|issue:6243", @@ -55632,193 +55501,192 @@ "issue:3073|issue:5480", "issue:4445|issue:5656", "issue:5777|issue:6359", - "issue:1543|issue:746", - "issue:4801|issue:817" + "issue:1543|issue:746" ], - "prepared_review_unit_hash": "061b370f78b6504b26ffd8bdfe2e8e84d77cabf4971c22a60286c28df45ce5a1", + "prepared_review_unit_hash": "5f83ef21c52ce1f20e695337ac935a7e7609e8a267ba6ec91b9ac529510f54a6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 33819, - "estimated_input_tokens": 8455, - "estimated_eval_tokens": 17166 + "serialized_chars": 33790, + "estimated_input_tokens": 8448, + "estimated_eval_tokens": 17152 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is mostly a grab bag of unrelated issues. Only one soft pair looks like a likely duplicate/near-duplicate around inpainting with LaMa preprocessing; the rest differ by concrete bug, model, or code path.", - "confidence": 0.63, - "canonical_issue_reason": "Issue 4750 is the clearest representative of the one likely duplicate pair in the cluster (Inpaint + LaMa preprocessing), with a more direct, actionable title than the older request.", + "summary": "Most items are unrelated one-off bug reports or feature requests. The only plausible duplicate-like pair is the LaMa/inpaint preprocessing issues; everything else is too semantically different to merge.", + "confidence": 0.78, + "canonical_issue_reason": "issue:4750 is the clearest representative of the LaMa/inpaint preprocessing topic; issue:2310 appears to be the older, vaguer counterpart.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 4750 is the strongest single issue to anchor duplicate triage here: it is specific, maps cleanly to the accepted LaMa/inpaint pair, and is more directly reusable as a canonical target.", + "best_issue_reason": "issue:4750 is the strongest issue to anchor this cluster because it is the most specific, concrete report among the few near-matches.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11222", + "right": "issue:11283", + "accept": false, + "reason": "Feature request for more WAN LoRAs vs a deserialization error in WAN loading; different problems." + }, { "left": "issue:852", "right": "issue:940", "accept": false, - "reason": "Both mention MPS crashes, but the trigger and code path differ (device_map vs LMSDiscreteScheduler)." + "reason": "Both mention MPS crashes, but the scheduler and failure mode are different enough to treat as separate bugs." }, { "left": "issue:1106", "right": "issue:3221", "accept": false, - "reason": "Different problems: repeated UNet calls in PNDM vs load_attn_procs not working in an old diffusers version." + "reason": "PNDM repeatedly invoking UNet is unrelated to load_attn_procs failing in diffusers 0.16.0." }, { "left": "issue:2437", "right": "issue:6243", "accept": false, - "reason": "Both are adapter-related, but one requests a T2I-Adapter pipeline and the other is about IP-Adapter Face ID behavior." + "reason": "T2I-Adapter pipeline request vs IP-Adapter Face ID request; different features." }, { "left": "issue:460", "right": "issue:746", "accept": false, - "reason": "Both are ONNX-related, but they describe different failures: runtime package selection vs loading by ONNX revision." + "reason": "Both are ONNX-related, but one is about dependency selection and the other is an offline revision loading failure." }, { "left": "issue:5395", "right": "issue:9297", "accept": false, - "reason": "Both concern LoRAs, but one is a correctness bug combining LoRAs and the other is a load-time performance issue." + "reason": "Both involve LoRAs, but one is about broken PEFT merging and the other about linear load-time slowdown." }, { "left": "issue:3975", "right": "issue:5989", "accept": false, - "reason": "A typo in an error message is unrelated to a safetensors.torch bug." + "reason": "Typo in an error message is unrelated to a safetensors.torch bug." }, { "left": "issue:4210", "right": "issue:5225", "accept": false, - "reason": "These are not the same bug: attention_mask usage in UNet vs an SDXL memory/VRAM forward-pass issue." + "reason": "Attention_mask usage in UNet is unrelated to SDXL VRAM exhaustion during forward pass." }, { "left": "issue:8432", "right": "issue:8742", "accept": false, - "reason": "Different code paths: VAE mixin import failure vs LoRAAttnProcessor2_0 removal/breakage." + "reason": "ImportError in FromOriginalVAEMixin and removal of LoRAAttnProcessor2_0 are different compatibility issues." }, { "left": "issue:7049", "right": "issue:7695", "accept": false, - "reason": "Both involve IP-Adapter, but one is a tensor-unpack error and the other is an ignored mask argument in attention processors." + "reason": "Both touch IP-Adapter, but one is an unpacking error in the basic example and the other is ignored cross_attention_kwargs." }, { "left": "issue:460", "right": "issue:4646", "accept": false, - "reason": "Both touch ONNX, but they are separate conversion/loading failures with different symptoms." + "reason": "ONNX runtime dependency issue vs ControlNet-to-ONNX conversion failure; not the same bug." }, { "left": "issue:9358", "right": "issue:9464", "accept": false, - "reason": "Same training script family, but one is redundant text-encoder reinit while the other is an IndexError with prodigy/train_text_encoder." + "reason": "Both are FLUX training script issues, but one is redundant reinitialization and the other is a list index error." }, { "left": "issue:11644", "right": "issue:8493", "accept": false, - "reason": "Different models and failures: LTXConditionPipeline init-from-pretrained vs SD3Transformer2DModel state_dict loading." + "reason": "LTXConditionPipeline init failure and SD3Transformer2DModel state_dict loading are separate model-loading bugs." }, { "left": "issue:10111", "right": "issue:9822", "accept": false, - "reason": "Both mention FLUX/LoRA context, but this is a broad pipeline-bugs issue vs loading SDXL LoRAs into Flux." + "reason": "Broad FLUX pipeline bug report vs specifically loading SDXL LoRAs into Flux; not the same concrete change." }, { "left": "issue:12195", "right": "issue:8320", "accept": false, - "reason": "PyTorch custom_op incompatibility is unrelated to the from_single_file __name__ attribute error." + "reason": "PyTorch 2.3.1 custom_op failure in AutoencoderKL is unrelated to the from_single_file __name__ attribute error." }, { "left": "issue:2185", "right": "issue:911", "accept": false, - "reason": "Both are training/config complaints, but they are not the same underlying config bug or change." + "reason": "Missing training config files and Dreambooth returning bad config are different configuration issues." }, { "left": "issue:3576", "right": "issue:3643", "accept": false, - "reason": "XFormers/Textual Inversion TypeError is unrelated to the INT_MAX upsampling decode error." + "reason": "XFormers/Textual Inversion TypeError is unrelated to latent upsample INT_MAX decoding errors." }, { "left": "issue:10636", "right": "issue:8837", "accept": false, - "reason": "Different files and symptoms: value_guided_sampling.py bug vs SlicedAttnProcessor bug." + "reason": "value_guided_sampling.py bug and SlicedAttnProcessor bug are different code paths." }, { "left": "issue:8604", "right": "issue:9930", "accept": false, - "reason": "Different issues in different subsystems: T5 float16 conversion corruption vs PAG adaptive scale behavior." + "reason": "T5 float16 corruption and PAG adaptive scale bug are unrelated." }, { "left": "issue:6110", "right": "issue:8752", "accept": false, - "reason": "Both involve offline usage, but one is LoRA weight loading offline and the other is from_single_file on an offline server." + "reason": "Both are offline-related, but one concerns loading LoRA weights and the other from_single_file SDXL loading." }, { "left": "issue:2310", "right": "issue:4750", "accept": true, - "reason": "These look like the same underlying inpainting + LaMa cleaner/preprocessor request, just phrased differently." + "reason": "Both point to the same LaMa/inpaint preprocessing area; 4750 is the clearer concrete report and 2310 appears to describe the same functionality more vaguely." }, { "left": "issue:3073", "right": "issue:5480", "accept": false, - "reason": "Both are diffusion-model feature requests, but consistency models and EDM are distinct implementations." + "reason": "Consistency models request and EDM request are separate model-feature requests." }, { "left": "issue:4445", "right": "issue:5656", "accept": false, - "reason": "General LoRA finetuning help is not the same as adding a LoRA loader to community pipelines." + "reason": "General LoRA finetuning question vs adding a LoRA loader to community pipelines; different scope." }, { "left": "issue:5777", "right": "issue:6359", "accept": false, - "reason": "PixArt training failure and EulerDiscreteScheduler velocity-related error are unrelated." + "reason": "PixArt dreambooth training error and EulerDiscreteScheduler velocity/get_noise issue are unrelated." }, { "left": "issue:1543", "right": "issue:746", "accept": false, - "reason": "Different revision/loading problems in different pipelines; the titles do not indicate the same bug." - }, - { - "left": "issue:4801", - "right": "issue:817", - "accept": false, - "reason": "Both are mixed-precision issues, but they affect different example scripts and are not clearly the same defect." + "reason": "textual_inversion revision handling and ONNX img2img revision loading are different loader bugs." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: the only accepted soft pair, issue:2310 vs issue:4750, is clearly the inpainting/LaMa cleaner/preprocessor duplicate candidate from the titles. The remaining soft-edge rejections are conservative given the available evidence, and the canonical issue choice is reasonable." + "feedback": "The analysis is grounded in the packet and stays conservative: the only accepted pair is a plausible duplicate-like LaMa/inpaint preprocessing match, while the rest are appropriately rejected as different bugs or feature requests. The canonical issue choice is also defensible based on the clearer title of issue:4750." }, "evaluator_used": true, "retried": false, @@ -55837,7 +55705,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:11225", @@ -55857,6 +55725,7 @@ "issue:4480", "issue:4697", "issue:4789", + "issue:4801", "issue:4839", "issue:4912", "issue:5160", @@ -55877,6 +55746,7 @@ "issue:730", "issue:7306", "issue:7417", + "issue:817", "issue:8509", "issue:852", "issue:8604", @@ -55884,11 +55754,10 @@ "issue:898", "issue:911", "issue:9134", - "issue:9178", - "issue:9479", - "issue:9867" + "issue:9178" ], "soft_pairs": [ + "issue:4801|issue:817", "issue:12574|issue:13477", "issue:3453|issue:898", "issue:9134|issue:9178", @@ -55911,191 +55780,187 @@ "issue:730|issue:911", "issue:7306|issue:8604", "issue:2772|issue:6357", - "issue:4314|issue:4789", - "issue:9479|issue:9867" + "issue:4314|issue:4789" ], - "prepared_review_unit_hash": "99a8861801bbc88862b7a144098814901a38864b7ad80d90230badfc5c32095f", + "prepared_review_unit_hash": "37b8d342bf856b99cc7f56f174a706c9abf6199a043e0514dbf6765934d1b7a5", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33365, - "estimated_input_tokens": 8342, - "estimated_eval_tokens": 16940 + "serialized_chars": 33346, + "estimated_input_tokens": 8337, + "estimated_eval_tokens": 16930 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is mostly heterogeneous and not a single duplicate cluster. The only strong duplicate-like families are (1) `num_images_per_prompt` failures in SD pipelines and (2) inpainting mask leakage across two pipeline variants. No PRs are present.", - "confidence": 0.46, - "canonical_issue_reason": "issue:1274 is the best canonical representative among the close duplicates because it is the broadest/earliest report of the `num_images_per_prompt > 1` failure, with issue:1785 as a narrower UnCLIP-specific instance.", + "summary": "This cluster is a loose collection of mostly unrelated Diffusers bug reports and feature requests around training, inference, LoRA/ControlNet, and platform-specific failures. None of the soft pairs look like strong same-bug duplicates, so I would keep the issues separated.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10003 is the clearest, concrete runtime bug in a core Stable Diffusion scheduler/inference path, and it is more specific than the broader training/example reports in the set.", "canonical_pr_reason": null, - "best_issue_reason": "issue:1274 is the strongest global issue representative here because it captures the most general symptom in the clearest duplicate pair and is more reusable as the anchor for triage.", + "best_issue_reason": "issue:10003 is the best representative issue because it describes a reproducible scheduler failure with a precise trigger, making it the most actionable anchor for the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4801", + "right": "issue:817", + "accept": false, + "reason": "Both mention mixed precision in training examples, but they are different scripts and likely different failure modes; too broad to treat as the same bug." + }, { "left": "issue:12574", "right": "issue:13477", "accept": false, - "reason": "Different pipelines and different failure modes: missing VACE control-arg handling vs an ErnieImage callback locals-scope bug." + "reason": "Unrelated components and symptoms: WanVideo/VACE control-arg handling versus an ErnieImage callback scope issue." }, { "left": "issue:3453", "right": "issue:898", "accept": false, - "reason": "Both mention BFloat16, but one is a CUDA `triu_tril` limitation in text-to-image training and the other is a TPU scalar-type error; not the same bug." + "reason": "Different backend/hardware failures: CUDA BF16 triu/tril support versus TPU BF16 scalar-type support." }, { "left": "issue:9134", "right": "issue:9178", "accept": false, - "reason": "Both involve Flux LoRA, but one is about a problem with trained LoRAs and the other is a PEFT target-modules training error; too different to merge." + "reason": "Both are Flux LoRA-related, but one concerns SimpleTuner-trained LoRAs and the other PEFT target-module errors; not the same concrete bug." }, { "left": "issue:6109", "right": "issue:6196", "accept": false, - "reason": "Same ControlNetXS family, but one is a general depth-control topic and the other is a specific loading error; not enough evidence of one underlying bug." + "reason": "Related topic area, but one is a ControlNet-XS depth feature/usage issue and the other is a loading error for a specific SDXL model." }, { "left": "issue:3585", "right": "issue:852", "accept": false, - "reason": "Unrelated: LoRA synthesis into SD1.5 vs an MPS `device_map` keyword crash." + "reason": "Different problems: LoRA synthesis into SD 1.5 versus an MPS device_map keyword crash." }, { "left": "issue:4480", "right": "issue:7417", "accept": false, - "reason": "Both are Mac-related, but one is an MPS float16 kernel crash during generation and the other is a LoRA-fuse NaN test failure." + "reason": "Both are Mac-related, but one is an MPS kernel crash during generation and the other is a test failure around LoRA fuse NaNs." }, { "left": "issue:5633", "right": "issue:8837", "accept": false, - "reason": "Different code paths: a temporal transformer bug vs a sliced attention processor bug." + "reason": "Different code paths and symptoms in temporal transformer versus sliced attention processor logic." }, { "left": "issue:6823", "right": "issue:8509", "accept": false, - "reason": "Both mention ControlNet, but one is a failure to use ControlNet and the other is a ControlNet++ topic; not the same bug/change." + "reason": "One is a generic inability to use ControlNet; the other is a ControlNet++ feature request." }, { "left": "issue:1274", "right": "issue:1785", - "accept": true, - "reason": "Same underlying symptom and parameter: `num_images_per_prompt` breaks when greater than 1 across SD pipeline variants, with UnCLIP as a narrower manifestation." + "accept": false, + "reason": "Both mention num_images_per_prompt, but the pipelines and failure contexts differ enough that this is not clearly one bug." }, { "left": "issue:11225", "right": "issue:11437", "accept": false, - "reason": "Training validation OOM vs missing outputs/validation images; clearly different problems." + "reason": "Validation OOM versus missing outputs/checkpoints-images during training are distinct issues, even if both occur in training flows." }, { "left": "issue:3325", "right": "issue:4839", "accept": false, - "reason": "Different failures: DreamBooth CUDA invalid argument vs a `lora_scale` type error." + "reason": "Different failures in different features: DreamBooth CUDA invalid argument versus lora_scale type error." }, { "left": "issue:10003", "right": "issue:7041", "accept": false, - "reason": "Both involve inference steps, but one is a 1000-step DDIM/DDPM bug and the other is a segfault for `num_inference_steps > 1`; not the same concrete defect." + "reason": "Both involve inference-step crashes, but the described triggers and symptoms are different enough that they should not be merged without stronger evidence." }, { "left": "issue:1642", "right": "issue:709", "accept": false, - "reason": "Scheduler implementation bug vs documentation wording issue; unrelated." + "reason": "Scheduler implementation bug versus documentation typo; clearly unrelated." }, { "left": "issue:2306", "right": "issue:3630", "accept": false, - "reason": "`INT_MAX` error and generic UNet2DModel error are too unspecific to treat as the same bug." + "reason": "Generic runtime error versus unknown UNet2DModel error; no evidence of the same underlying defect." }, { "left": "issue:4697", "right": "issue:6749", "accept": false, - "reason": "Different topics: loading a specific LoRA after an update vs reproducing an InstantID example." + "reason": "A specific LoRA load regression and an InstantID reproduction issue are not the same bug." }, { "left": "issue:4912", "right": "issue:5162", "accept": false, - "reason": "Both are conversion-related, but one is SDXL checkpoint-to-diffusers and the other is folder checkpoint to safetensors; different tools and directions." + "reason": "Both are conversion-related, but one asks for SDXL checkpoint conversion and the other for folder-to-safetensors conversion; different requests." }, { "left": "issue:5160", "right": "issue:5594", "accept": false, - "reason": "Dreambooth/LoRA masking vs SDXL LoRA memory savings; not the same issue." + "reason": "DreamBooth/LoRA masking feature request versus SDXL LoRA memory-saving request; not the same change." }, { "left": "issue:5285", "right": "issue:5925", "accept": false, - "reason": "Docs translation request vs ZipLora feature request; unrelated." + "reason": "Docs translation work and a ZipLora feature request are unrelated." }, { "left": "issue:5300", "right": "issue:6418", "accept": false, - "reason": "Internet connectivity complaint vs stable video diffusion output collapse; unrelated." + "reason": "Internet-connection complaint versus stable video diffusion output collapse; no shared bug surface." }, { "left": "issue:730", "right": "issue:911", "accept": false, - "reason": "Both are DreamBooth-related, but one is training that works in Colab but not locally and the other is a bad config regression; not the same bug." + "reason": "Both concern DreamBooth, but one is a training-behavior report and the other is a bad config issue; too different to merge." }, { "left": "issue:7306", "right": "issue:8604", "accept": false, - "reason": "Both mention float16, but one is an LEdits++ pipeline issue and the other is T5 encoder conversion causing corrupted images; different code paths." + "reason": "Both mention float16, but they affect different pipelines/components and have different symptoms." }, { "left": "issue:2772", "right": "issue:6357", "accept": false, - "reason": "Train-controlnet local dataset validation vs API/local output differences; unrelated." + "reason": "Local dataset validation in train_controlnet.py and API-vs-local result differences are separate problems." }, { "left": "issue:4314", "right": "issue:4789", "accept": false, - "reason": "Interrupted download write-protection vs inability to download DeepFloyd IF; not the same defect." - }, - { - "left": "issue:9479", - "right": "issue:9867", - "accept": true, - "reason": "Very similar inpainting mask-leakage symptom: both report pixels outside the mask being modified in inpaint pipelines, suggesting the same underlying masking bug." + "reason": "Interrupted-download write-protection and inability to download DeepFloyd IF are different download issues." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative overall. The two accepted soft pairs are well supported by the issue titles and symptoms (`num_images_per_prompt` breakage; inpainting mask leakage across pipeline variants), and the remaining pairs are appropriately rejected or qualified. No PR mergeability issues apply because this packet contains only issues." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -56110,7 +55975,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10076", "issue:10147", @@ -56125,9 +55990,10 @@ "issue:11721", "issue:12108", "issue:1255", + "issue:13043", "issue:13488", + "issue:13506", "issue:1377", - "issue:1572", "issue:2149", "issue:2150", "issue:2311", @@ -56143,10 +56009,8 @@ "issue:4912", "issue:4964", "issue:5091", - "issue:5344", "issue:5576", "issue:6008", - "issue:6427", "issue:6818", "issue:7766", "issue:8518", @@ -56154,14 +56018,16 @@ "issue:8759", "issue:9026", "issue:9166", - "issue:917", "issue:9241", "issue:9258", + "issue:9479", "issue:9602", + "issue:9867", "issue:987", "issue:993" ], "soft_pairs": [ + "issue:9479|issue:9867", "issue:6818|issue:7766", "issue:10873|issue:11721", "issue:3073|issue:5576", @@ -56183,189 +56049,188 @@ "issue:11000|issue:8588", "issue:1161|issue:4912", "issue:1377|issue:305", + "issue:13043|issue:13506", "issue:3097|issue:993", - "issue:3769|issue:987", - "issue:5344|issue:6427", - "issue:1572|issue:917" + "issue:3769|issue:987" ], - "prepared_review_unit_hash": "b9d06c288bbd9facf047d5485fa4f7fe73d122e8042ab26baabb09217180ad8e", + "prepared_review_unit_hash": "7d38c2726eece2bee2dcf88d07e2fc74529f4b502034b0cf413d5136f9ab4dee", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34247, - "estimated_input_tokens": 8562, - "estimated_eval_tokens": 17380 + "serialized_chars": 34322, + "estimated_input_tokens": 8581, + "estimated_eval_tokens": 17418 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose mix of unrelated Diffusers issues: model conversion requests, scheduler/import errors, pipeline-specific bugs, compile/offloading regressions, and feature asks. None of the soft pairs look like the same underlying bug or change.", - "confidence": 0.94, - "canonical_issue_reason": "If a representative is needed, issue:10848 is the cleanest standalone bug report: it names the exact failing API (`load_model_dict_into_meta`) and the concrete error signature (`unexpected keyword argument 'device'`).", + "summary": "This cluster is heterogeneous: mostly unrelated bug reports and feature requests around Diffusers pipelines, adapters, schedulers, conversion scripts, and compile/offload issues. I don\u2019t see any true duplicate pair among the soft candidates.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10848 is the clearest concrete bug report in the set: it has a specific runtime error, a focused API mismatch, and a straightforward code-path to investigate.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10848 is the most actionable standalone report in the set: specific function, clear regression-style error, and enough context to diagnose without extra interpretation.", + "best_issue_reason": "10848 is the strongest representative issue because it is precise, reproducible, and actionable, unlike the broader feature requests or vague pipeline reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:9479", + "right": "issue:9867", + "accept": false, + "reason": "Both are inpainting/mask-related, but they describe different pipelines and likely different code paths; too broad to treat as the same bug." + }, { "left": "issue:6818", "right": "issue:7766", "accept": false, - "reason": "Both involve IP-Adapters, but one is a post-unload constructor error and the other is a usage question about FaceID Plus; different problems." + "reason": "One is a concrete unload/error report, the other is a usage question about FaceID Plus; not the same underlying issue." }, { "left": "issue:10873", "right": "issue:11721", "accept": false, - "reason": "Both mention SanaPipeline, but one is model-specific loading trouble and the other is a broader crash-on-load report; not enough evidence of the same bug." + "reason": "Both mention SanaPipeline, but one is model-specific and the other is a load crash; not enough evidence of the same defect." }, { "left": "issue:3073", "right": "issue:5576", "accept": false, - "reason": "These are separate feature requests: consistency models vs FreeNoise scheduler." + "reason": "Different feature requests: consistency models vs a new scheduler. Same area, not the same change." }, { "left": "issue:10147", "right": "issue:10896", "accept": false, - "reason": "Both are model-support requests, but MV-Adapter multi-view generation and SkyReels-A1 portrait animation are different features." + "reason": "Separate feature requests for different models and use cases; not a duplicate change request." }, { "left": "issue:10569", "right": "issue:10932", "accept": false, - "reason": "One is CPU memory consumption in HunyuanVideo; the other is a torch.compile recompile-limit issue. Different code paths and symptoms." + "reason": "Both involve HunyuanVideo, but one is CPU memory usage and the other is torch.compile recompilation behavior; different bugs." }, { "left": "issue:10472", "right": "issue:8759", "accept": false, - "reason": "Different failures: a `lora_bias` constructor argument error during LoRA inference vs an SD3 image-processor runtime warning." + "reason": "Completely different failures: a LoRA constructor keyword error versus an image processor runtime warning." }, { "left": "issue:2311", "right": "issue:5576", "accept": false, - "reason": "Both are scheduler-related, but they request different schedulers and do not describe the same concrete change." + "reason": "Both are scheduler-related requests, but they are different schedulers and different intended functionality." }, { "left": "issue:4731", "right": "issue:8518", "accept": false, - "reason": "Both involve `torch.compile`, but they fail on different models and with different Dynamo errors." + "reason": "Both mention torch.compile, but they hit different models and different compiler failures; not mergeable as one fix." }, { "left": "issue:9026", "right": "issue:9166", "accept": false, - "reason": "`load_checkpoint_and_dispatch(..., force_hook)` regression versus `image_processor.apply_overlay` unexpected behavior; unrelated functions." + "reason": "Unrelated problems: one is an accelerate/offloading API mismatch, the other is overlay behavior in image processing." }, { "left": "issue:12108", "right": "issue:13488", "accept": false, - "reason": "Different subsystems: flow-matching scheduler breakage in Qwen/Chroma pipelines vs offloading regression in diffusers 0.38 dev." + "reason": "Different breakages in different subsystems: flow-matching scheduler behavior versus CPU offloading regression." }, { "left": "issue:10848", "right": "issue:9602", "accept": false, - "reason": "One is a bad `device` kwarg to `load_model_dict_into_meta`; the other is an adapter-name lookup failure. Not the same bug." + "reason": "Both involve adapters, but one is a load_model_dict_into_meta keyword mismatch and the other is missing adapter names; distinct bugs." }, { "left": "issue:2444", "right": "issue:2775", "accept": false, - "reason": "A DreamBooth inpaint script exit failure is not the same as a `torch._dynamo.optimize` non-function error." + "reason": "These are unrelated errors in different contexts; no shared concrete code-path." }, { "left": "issue:5091", "right": "issue:9258", "accept": false, - "reason": "Both mention performance/setup, but one is about multi-GPU offload interaction and the other is Windows vs Linux training speed." + "reason": "One is about model CPU offload with multiple GPUs; the other is a training performance discrepancy across OSes." }, { "left": "issue:1255", "right": "issue:305", "accept": false, - "reason": "Both are import errors, but they reference different missing imports and contexts; too generic to dedupe." + "reason": "Both are import errors, but they concern different symbols and likely different dependency/version issues." }, { "left": "issue:4808", "right": "issue:6008", "accept": false, - "reason": "SHAP-E integration test failure and IP-Adapter Plus Face with LCM LoRA are different model-specific regressions." + "reason": "Different pipelines and failure modes; only broad \u2018test/pipeline failure\u2019 similarity." }, { "left": "issue:2149", "right": "issue:2150", "accept": false, - "reason": "Related texture-painting topics, but one is a workflow request and the other is img2img model compatibility; not the same change." + "reason": "Related texture workflows, but one is a general workflow request and the other is a specific img2img compatibility request." }, { "left": "issue:4000", "right": "issue:4964", "accept": false, - "reason": "Both are conversion requests, but they target different model families and directions (SD2 ckpt vs SDXL models)." + "reason": "Both are model conversion topics, but they target different model families and different conversion directions." }, { "left": "issue:10076", "right": "issue:9241", "accept": false, - "reason": "Both ask about conversion scripts, but the source/target formats differ completely (HF\u2192original vs XLab LoRA\u2192diffusers LoRA)." + "reason": "Different conversion requests with different source/target formats; not the same script or bug." }, { "left": "issue:11000", "right": "issue:8588", "accept": false, - "reason": "A missing `shift` argument in WanImageToVideoPipeline is unrelated to a missing SD3 conversion script." + "reason": "A missing pipeline argument and a missing conversion script are unrelated issues." }, { "left": "issue:1161", "right": "issue:4912", "accept": false, - "reason": "Flax\u2192PyTorch conversion and custom CivitAI SDXL\u2192diffusers conversion are different conversion tasks." + "reason": "Both are conversion-related, but they concern different source formats and model types." }, { "left": "issue:1377", "right": "issue:305", "accept": false, - "reason": "Both are import problems, but they concern different symbols and different failure points." + "reason": "Both are import problems, but the missing object and package context differ; not the same issue." + }, + { + "left": "issue:13043", + "right": "issue:13506", + "accept": false, + "reason": "Different attention backends and failure signatures; no evidence they are the same bug." }, { "left": "issue:3097", "right": "issue:993", "accept": false, - "reason": "`load_textual_inversion` doing nothing and fp16 dtype mismatch are distinct bugs." + "reason": "A textual inversion no-op and an fp16 dtype mismatch are unrelated." }, { "left": "issue:3769", "right": "issue:987", "accept": false, - "reason": "Different output defects: quartered panorama images vs green speech-to-image output." - }, - { - "left": "issue:5344", - "right": "issue:6427", - "accept": false, - "reason": "Missing `omegaconf` dependency is not the same as broken diffusers\u2192.ckpt conversion." - }, - { - "left": "issue:1572", - "right": "issue:917", - "accept": false, - "reason": "Both touch inpainting, but they are different pipelines/backends (stable_diffusion_mega vs ONNX) with different failure modes." + "reason": "Different pipelines and different image artifacts; not the same underlying defect." } ] }, @@ -56387,7 +56252,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:1013", @@ -56401,6 +56266,7 @@ "issue:11555", "issue:1185", "issue:12995", + "issue:1572", "issue:1617", "issue:1708", "issue:1866", @@ -56416,28 +56282,29 @@ "issue:4349", "issue:4676", "issue:5008", + "issue:5344", "issue:5565", "issue:5840", "issue:6028", - "issue:6101", + "issue:6427", "issue:6688", "issue:713", "issue:7223", - "issue:7348", "issue:7380", "issue:7460", "issue:7789", "issue:7793", "issue:7836", "issue:8393", - "issue:8918", + "issue:917", "issue:9170", "issue:9306", - "issue:9424", "issue:9778", "issue:9895" ], "soft_pairs": [ + "issue:5344|issue:6427", + "issue:1572|issue:917", "issue:5565|issue:9778", "issue:1866|issue:3116", "issue:5008|issue:7380", @@ -56459,182 +56326,180 @@ "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:5840|issue:8393" ], - "prepared_review_unit_hash": "da911b4331b525f013c62ab3ef4a655330e6a99d8d7ef32fc327e630fe286aa2", + "prepared_review_unit_hash": "b653d926b6f1c3cc482122ad4dcd6cd7b4bb406d2ea9653a60241d49f2541942", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32940, - "estimated_input_tokens": 8235, - "estimated_eval_tokens": 16726 + "serialized_chars": 32845, + "estimated_input_tokens": 8212, + "estimated_eval_tokens": 16680 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is very heterogeneous: most soft pairs share only broad subsystem words, not the same concrete bug or change, so none of the soft edges should be merged. If a representative issue is needed, the broadest/openest item is the device-map feature request.", - "confidence": 0.36, - "canonical_issue_reason": "issue:11555 is the broadest, most general pipeline-level request in the set and is still open/active; it best serves as a lightweight representative, though the cluster itself is not a true duplicate set.", + "summary": "This cluster is mostly a set of unrelated Diffusers issues that only share broad keywords like pipelines, training, or model support. The proposed soft edges are all superficial similarities rather than the same concrete bug/change.", + "confidence": 0.97, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:11555 has the clearest reusable problem statement (pipeline-wide device_map support) and the widest potential applicability among these unrelated issues.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5344", + "right": "issue:6427", + "accept": false, + "reason": "One is a missing dependency error; the other is a model conversion bug. Different failure modes and code paths." + }, + { + "left": "issue:1572", + "right": "issue:917", + "accept": false, + "reason": "Both mention inpainting, but one is a pipeline support gap and the other is an ONNX runtime error. Not the same bug." + }, { "left": "issue:5565", "right": "issue:9778", "accept": false, - "reason": "Both are tutorial/script breakage reports, but they reference different tutorials and failure contexts; not the same underlying bug." + "reason": "Both are run/tutorial related, but they concern different scripts and likely different setup problems." }, { "left": "issue:1866", "right": "issue:3116", "accept": false, - "reason": "Both mention scheduler behavior in img2img, but they concern different schedulers and different failure modes." + "reason": "Both are scheduler-related img2img bugs, but they involve different schedulers and distinct incorrect behaviors." }, { "left": "issue:5008", "right": "issue:7380", "accept": false, - "reason": "One is a specific TryOnDiffusion implementation issue, the other is a new algorithm implementation request; not duplicates." + "reason": "One is a specific architecture implementation request, the other is a separate distillation method request." }, { "left": "issue:7460", "right": "issue:7836", "accept": false, - "reason": "AdaLayerNorm bug vs CLIP overfitting in a training example are unrelated." + "reason": "AdaLayerNorm bug and CLIP overfitting are unrelated issues in different parts of training/inference." }, { "left": "issue:7789", "right": "issue:7793", "accept": false, - "reason": "Both involve deepfloyd, but one is an mps float32 compatibility issue and the other is LoRA unloading error; different code paths." + "reason": "Different DeepFloyd problems: float32/MPS behavior versus LoRA unload errors." }, { "left": "issue:10100", "right": "issue:7223", "accept": false, - "reason": "Different feature requests for different model families (ConsisID vs Latte)." + "reason": "Both are feature requests for adding models, but they are different models and separate implementations." }, { "left": "issue:1013", "right": "issue:3162", "accept": false, - "reason": "StableDiffusionMegaPipeline regression vs missing learned_classifier_free_sampling_embeddings are different bugs." + "reason": "Both are compatibility-style errors, but one is a pipeline breakage and the other is a missing embedding argument." }, { "left": "issue:1062", "right": "issue:1708", "accept": false, - "reason": "Dreambooth reproducibility and YAML config passing are distinct training UX problems." + "reason": "Dreambooth reproducibility/training quality is unrelated to config-file passing for inference." }, { "left": "issue:3073", "right": "issue:3891", "accept": false, - "reason": "Add consistency models vs add Tortoise TTS are unrelated pipeline requests." + "reason": "Both are add-a-pipeline requests, but for completely different model families and use cases." }, { "left": "issue:3073", "right": "issue:6688", "accept": false, - "reason": "Different requested additions in different model areas; no shared concrete change." + "reason": "Same broad feature-request category, but not the same model or underlying change." }, { "left": "issue:10674", "right": "issue:9895", "accept": false, - "reason": "Both are FluxPipeline-related device problems, but the GGUF failure and cuda/cpu mismatch stem from different scenarios." + "reason": "Both involve FluxPipeline, but one is GGUF support and the other is a device placement regression." }, { "left": "issue:2202", "right": "issue:3974", "accept": false, - "reason": "OpenVINO support request vs safetensors loading bug are unrelated." + "reason": "OpenVINO support request versus a safetensors loading bug in a different pipeline." }, { "left": "issue:6028", "right": "issue:9170", "accept": false, - "reason": "Both are memory-related, but they affect different models and failure conditions." + "reason": "Both mention high memory use, but one is an OOM report and the other asks about GPU requirements for SDXL+ControlNet." }, { "left": "issue:10514", "right": "issue:11555", "accept": false, - "reason": "Sana sample_size/use_resolution_binning limitation is not the same as a general device_map support request." + "reason": "Sample-size/binning limitation and device_map auto support are unrelated pipeline features." }, { "left": "issue:10321", "right": "issue:10520", "accept": false, - "reason": "LTX-Video missing weight files vs Sana cross-device tensor placement error are different bugs." + "reason": "One is a missing model file error; the other is a cross-device tensor placement error." }, { "left": "issue:1185", "right": "issue:3301", "accept": false, - "reason": "Reproducibility complaint vs LoRA training failure are not the same issue." + "reason": "Both are Dreambooth-related, but one is reproducibility and the other is a training script failure." }, { "left": "issue:11033", "right": "issue:12995", "accept": false, - "reason": "Unet from_single_file loading failure is unrelated to the Cosmos-Predict2.5 pipeline behavior question." + "reason": "Single-file SD1.5 loading and Cosmos-Predict2.5 video behavior are unrelated issues." }, { "left": "issue:11041", "right": "issue:9306", "accept": false, - "reason": "Both involve device placement/offloading, but they concern different pipelines and distinct execution paths." + "reason": "Both mention device/offloading behavior, but they are different pipelines and different specific faults." }, { "left": "issue:1617", "right": "issue:713", "accept": false, - "reason": "Generic missing-arguments CLI error vs generic training error are too broad and not clearly the same bug." + "reason": "A missing-arguments CLI error is not the same as a generic training error." }, { "left": "issue:199", "right": "issue:201", "accept": false, - "reason": "One is a dead-code cleanup request, the other is a test request; not duplicates." + "reason": "One is a dead-code cleanup request; the other is a test request." }, { "left": "issue:4349", "right": "issue:4676", "accept": false, - "reason": "Missing text_encoder handling vs TAESD latent brightness are different pipeline defects." + "reason": "Text-encoder requirement bug and dark TAESD latents are different pipeline issues." }, { "left": "issue:5840", "right": "issue:8393", "accept": false, - "reason": "Checkpoint resume/freezing issue vs slow shard loading are different problems." - }, - { - "left": "issue:8918", - "right": "issue:9424", - "accept": false, - "reason": "Both mention broken training notebooks/scripts, but they are different model versions and likely different regressions." - }, - { - "left": "issue:6101", - "right": "issue:7348", - "accept": false, - "reason": "Both are controlnet-related quality issues, but one is a performance regression and the other is a scheduler artifact bug." + "reason": "Checkpoint resume/freezing bug is unrelated to slow shard loading." } ] }, @@ -56656,13 +56521,12 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", "issue:10940", "issue:11010", "issue:11178", - "issue:11220", "issue:11387", "issue:11864", "issue:11901", @@ -56690,24 +56554,27 @@ "issue:5108", "issue:5197", "issue:5224", - "issue:5317", - "issue:5320", "issue:5595", "issue:6095", + "issue:6101", "issue:6370", "issue:6374", "issue:6393", "issue:6695", + "issue:7348", "issue:801", "issue:852", + "issue:8918", "issue:9001", "issue:9034", + "issue:9424", "issue:945", "issue:962", - "issue:9756", "issue:9822" ], "soft_pairs": [ + "issue:8918|issue:9424", + "issue:6101|issue:7348", "issue:4186|issue:5108", "issue:2185|issue:2712", "issue:11387|issue:11864", @@ -56729,182 +56596,180 @@ "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:11901|issue:12147" ], - "prepared_review_unit_hash": "db5be41429dac7aa5aa173866ba1b6395ac6b3da96d2c6e3982039891b968df6", + "prepared_review_unit_hash": "782fa1d436508aa7521e3956fe728f04ba44564b32cad4145d2acc8fb37285d2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33616, - "estimated_input_tokens": 8404, - "estimated_eval_tokens": 17064 + "serialized_chars": 33756, + "estimated_input_tokens": 8439, + "estimated_eval_tokens": 17134 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is very noisy: the titles span unrelated bugs, feature requests, and docs issues. None of the soft pairs look like the same underlying bug/change, so all should stay separate.", - "confidence": 0.9, - "canonical_issue_reason": "issue:10025 is the strongest single anchor in the set: it is clearly bug-oriented, has the highest engagement (discussion and inbound references), and sits in the recurring Flux/transformer subset that appears most central here.", + "summary": "This is a loose topical cluster of Diffusers issues around model loading, Flux/Wan/Qwen support, schedulers, and training/runtime bugs. The soft pairs are mostly superficial similarity matches rather than true duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:10025 is the best representative issue for triage because it is concrete, well-discussed, and more likely to be the kind of actionable bug a duplicate cluster would center on than the more request-like or niche items.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8918", + "right": "issue:9424", + "accept": false, + "reason": "Both mention broken training scripts, but one is SD3 Dreambooth and the other is a specific notebook regression; different code paths and fixes." + }, + { + "left": "issue:6101", + "right": "issue:7348", + "accept": false, + "reason": "Both involve ControlNet/inpaint behavior, but one is a performance complaint and the other is a scheduler output bug; not the same defect." + }, { "left": "issue:4186", "right": "issue:5108", "accept": false, - "reason": "Both mention Stable Diffusion XL/multi-adapter style features, but one is an inpaint+refiner behavior issue and the other is a T2I multiadapter exception; different code paths and failure modes." + "reason": "Both are XL pipeline problems, but one is SDXL inpaint+refiner and the other is T2I multi-adapter exceptions; different features and failure modes." }, { "left": "issue:2185", "right": "issue:2712", "accept": false, - "reason": "One is missing training config files, the other is a missing config key (`norm_num_groups`); both are config-related but not the same underlying defect." + "reason": "Both are config-related, but one is missing training config files and the other is missing a specific normalization config key; unrelated issues." }, { "left": "issue:11387", "right": "issue:11864", "accept": false, - "reason": "AutoencoderDC RMSNorm type mismatch is a model-architecture bug, while the compile failure is a torch.compile scoping issue; unrelated fixes." + "reason": "One is an AutoencoderDC normalization implementation issue; the other is a torch.compile scoping error in encode. Different underlying bugs." }, { "left": "issue:6095", "right": "issue:9001", "accept": false, - "reason": "An SVD scheduler index error and an Auraflow aspect-ratio feature request are different problems with no shared failing path." + "reason": "Both are scheduler-related, but one is an IndexError in Euler discrete scheduling for SVD and the other is aspect-ratio handling in Auraflow; not the same change." }, { "left": "issue:490", "right": "issue:801", "accept": false, - "reason": "Both involve memory/attention behavior in image pipelines, but the reported issue shapes differ: general diffusers memory use versus enable_attention_slicing not being respected in inpaint/img2img." + "reason": "Both discuss memory/attention behavior in image pipelines, but one is generic memory usage and the other is attention slicing in inpaint/img2img; too broad to merge." }, { "left": "issue:3682", "right": "issue:4630", "accept": false, - "reason": "Loading LoRAs and modifying LoRA weights after loading are related topics, but they are distinct feature requests with different operations and expected APIs." + "reason": "Both concern LoRAs, but one is loading weights and the other is changing LoRA weight after load; distinct functionality." }, { "left": "issue:1335", "right": "issue:852", "accept": false, - "reason": "These are both constructor/backend compatibility issues, but one is ONNX pipeline initialization and the other is an MPS `device_map` crash; not the same bug." + "reason": "Both are constructor/runtime compatibility issues, but one is ONNX pipeline init and the other is MPS device_map handling; unrelated code paths." }, { "left": "issue:2412", "right": "issue:3647", "accept": false, - "reason": "Both are about Dreambooth training, but one is a generic Dreambooth error and the other is specifically DeepFloyd training; too broad to merge." + "reason": "Both are Dreambooth/training-related, but one is a generic Dreambooth error and the other is specific to DeepFloyd support; not duplicates." }, { "left": "issue:4808", "right": "issue:6393", "accept": false, - "reason": "SHAP-E integration test failure and private HF download failure via `from_single_file` are unrelated." + "reason": "Both involve loading-related failures, but one is an integration test for SHAP-E img2img and the other is private HF link download via from_single_file; different problems." }, { "left": "issue:10940", "right": "issue:9034", "accept": false, - "reason": "`triton.ops` import failure is a dependency/import problem; sentencepiece requirement for AutoPipelineForText2Image is a packaging/dependency request. Not the same bug." + "reason": "Both mention import/requirements issues, but one is missing triton.ops and the other is an unnecessary sentencepiece requirement; not the same bug." }, { "left": "issue:1231", "right": "issue:5224", "accept": false, - "reason": "K-LMS scheduler in Flax and a Flax Stable Diffusion 2.1 error are both Flax-related but refer to different pipeline/scheduler issues." + "reason": "Both mention schedulers/Flax, but one is a K-LMS scheduler feature request and the other is a Stable Diffusion 2.1 error; different contexts." }, { "left": "issue:3382", "right": "issue:5197", "accept": false, - "reason": "Both concern multi-GPU training, but one is a CUDA OOM bug and the other is a performance regression; different underlying problems." + "reason": "Both are multi-GPU training performance issues, but one is CUDA OOM in a script and the other is slower-than-single-GPU throughput; not a duplicate fix." }, { "left": "issue:10025", "right": "issue:9822", "accept": false, - "reason": "Attention mask handling in Flux transformer and loading SDXL LoRAs into Flux are separate model/loading behaviors." + "reason": "Both mention Flux, but one is about attention masks and the other is LoRA loading into Flux; separate functionality." }, { "left": "issue:1530", "right": "issue:4390", "accept": false, - "reason": "Missing VQDiffusion sampling embeddings and generic missing requirements are not the same issue." + "reason": "Both are missing-configuration style reports, but one is a specific VQDiffusion pipeline field and the other is missing requirements in general; not the same issue." }, { "left": "issue:3015", "right": "issue:6370", "accept": false, - "reason": "ControlNet format conversion and using diffusers LoRA in AUTOMATIC1111 are different interoperability requests." + "reason": "Both mention converting/loading LoRA or ControlNet assets, but one is ControlNet format conversion and the other is using diffusers LoRA in A1111; different tasks." }, { "left": "issue:4747", "right": "issue:6374", "accept": false, - "reason": "SDXL LoRA load failing with missing `model_index.json` and a Chinese-language Qwen LoRA loading question are not the same failure." + "reason": "Both concern loading fine-tuned/LoRA assets, but one is a missing model_index.json after load and the other is a Qwen LoRA weight question; unrelated." }, { "left": "issue:5595", "right": "issue:6695", "accept": false, - "reason": "A height/width divisibility validation error is unrelated to a subprocess failure when starting training." + "reason": "Both are runtime errors, but one is a shape divisibility ValueError and the other is a subprocess failure while starting training; no shared root cause." }, { "left": "issue:11178", "right": "issue:12423", "accept": false, - "reason": "MistoLine ControlNet loading via `from_single_file` and QwenImageTransformer2DModel `from_single_file` are separate model-loading cases." + "reason": "Both are single-file/model loading issues, but one is MistoLine ControlNet and the other is QwenImageTransformer2DModel.from_single_file; different models and loaders." }, { "left": "issue:11010", "right": "issue:12108", "accept": false, - "reason": "Both reference Chroma/Flux and flow-matching context, but one is about supporting a Flux-based architecture and the other is a scheduler-parameter break; they are not the same concrete bug/change." + "reason": "Both relate to Flux/Chroma and flow-style models, but one is support for Chroma architecture changes and the other is a scheduler parameterization break; not mergeable as one bug." }, { "left": "issue:1363", "right": "issue:945", "accept": false, - "reason": "ONNX long-prompt weight + LMS scheduler error and adding a custom checkpoint for ONNX conversion are different ONNX-related issues." + "reason": "One is an ONNX scheduler interaction error; the other is adding a custom checkpoint model for ONNX conversion. Different issue classes." }, { "left": "issue:1274", "right": "issue:962", "accept": false, - "reason": "Both are SD pipeline behavior bugs, but one is `num_images_per_prompt` regression and the other is inpaint pipeline size support." + "reason": "Both are SD pipeline shape/batch handling issues, but one is num_images_per_prompt regression and the other is inpaint size support; not the same defect." }, { "left": "issue:11901", "right": "issue:12147", "accept": false, - "reason": "Both involve Wan2.1/Wan2.2 LoRA loading, but they target different model versions and failure modes; too risky to treat as one bug." - }, - { - "left": "issue:11220", - "right": "issue:9756", - "accept": false, - "reason": "Documentation page behavior and a missing notebook file are unrelated documentation issues." - }, - { - "left": "issue:5317", - "right": "issue:5320", - "accept": false, - "reason": "Both are PEFT-related feature requests, but documenting the API and adding `adapter_name` to `fuse_lora` are distinct changes and not one concrete fix." + "reason": "Both are Wan LoRA loading reports, but they target different model generations and likely different loaders/failure points; too weak for duplicate triage." } ] }, @@ -56926,7 +56791,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", "issue:10227", @@ -56934,6 +56799,7 @@ "issue:10520", "issue:10590", "issue:10891", + "issue:11220", "issue:11436", "issue:11569", "issue:11644", @@ -56941,10 +56807,8 @@ "issue:11710", "issue:1889", "issue:2053", - "issue:2150", "issue:2635", "issue:2676", - "issue:2783", "issue:2905", "issue:3199", "issue:3300", @@ -56953,10 +56817,11 @@ "issue:4265", "issue:4303", "issue:4923", + "issue:5317", + "issue:5320", "issue:5327", "issue:5509", "issue:5558", - "issue:6069", "issue:6101", "issue:6423", "issue:6452", @@ -56966,7 +56831,6 @@ "issue:7751", "issue:7936", "issue:7939", - "issue:8323", "issue:8435", "issue:8494", "issue:8593", @@ -56975,9 +56839,12 @@ "issue:9303", "issue:9306", "issue:9667", + "issue:9756", "issue:9876" ], "soft_pairs": [ + "issue:11220|issue:9756", + "issue:5317|issue:5320", "issue:10891|issue:11436", "issue:8494|issue:8593", "issue:5509|issue:9225", @@ -57000,188 +56867,186 @@ "issue:2053|issue:4159", "issue:7293|issue:8780", "issue:10302|issue:9667", - "issue:5558|issue:6101", - "issue:2150|issue:2783", - "issue:6069|issue:8323" + "issue:5558|issue:6101" ], - "prepared_review_unit_hash": "6b690f7b210c6797b53f210753177c3b601b3764e77744cd295e1646f351f237", + "prepared_review_unit_hash": "be3273e6bf170122352579858d72eb7dcc497874dfc619c5fc7f82c53b65c72d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34189, - "estimated_input_tokens": 8548, - "estimated_eval_tokens": 17352 + "serialized_chars": 34180, + "estimated_input_tokens": 8545, + "estimated_eval_tokens": 17346 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate pairs look strong enough to merge; the soft edges are mostly broad thematic similarities (dtype/device/scheduler/loader issues) but each pair describes a different concrete bug or feature request.", - "confidence": 0.92, - "canonical_issue_reason": "issue:9306 is the most concrete, narrowly scoped runtime bug here, with a specific pipeline and a clear device-selection symptom.", + "summary": "This cluster is heterogeneous: it mixes unrelated device-routing bugs, dtype/bfloat16 mismatches, feature requests, scheduler questions, docs issues, and model-loading failures. None of the soft edges look like true duplicates or the same fixable code path.", + "confidence": 0.96, + "canonical_issue_reason": "issue:8780 is the broadest generic symptom in the set ('Model and input data type is not same'), so it is the closest weak umbrella for the dtype-related subset, but the overall cluster is not cohesive enough to treat as one duplicate thread.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9306 is the strongest standalone issue candidate overall because it is specific, reproducible, and actionable.", + "best_issue_reason": "issue:8780 is the most representative fallback because it is generic and open-ended, but it still only covers a subset of the issues and is not a strong global canonical for the whole cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11220", + "right": "issue:9756", + "accept": false, + "reason": "Docs page not working and missing notebook are unrelated documentation/navigation problems, not the same underlying bug." + }, + { + "left": "issue:5317", + "right": "issue:5320", + "accept": false, + "reason": "Both are PEFT-related, but one is documentation and the other is an API enhancement request; different changes." + }, { "left": "issue:10891", "right": "issue:11436", "accept": false, - "reason": "Both are bfloat16-related, but one is a DCAE type-conversion bug and the other is a HiDream matmul dtype mismatch; different code paths." + "reason": "Both involve bfloat16, but they hit different components and failure modes: DCAE internal conversions vs Hidream matmul dtype mismatch." }, { "left": "issue:8494", "right": "issue:8593", "accept": false, - "reason": "One is about an unexpected force_hooks argument in SD3 loading; the other is a CPU bfloat16 noise issue. Not the same bug." + "reason": "Unexpected force_hooks kwarg and CPU bfloat16 noise are different SD3 issues with no shared code path." }, { "left": "issue:5509", "right": "issue:9225", "accept": false, - "reason": "Both involve image/latent shape mismatches, but they hit different pipelines and different failure modes." + "reason": "Both are image-shape related, but one is prompt/image batch sizing and the other is RGBA latent sizing; different bugs." }, { "left": "issue:10191", "right": "issue:9876", "accept": false, - "reason": "GPU device selection during training is unrelated to LoRA VRAM release after training." + "reason": "GPU device selection during training and VRAM not being released after LoRA training are different resource-management problems." }, { "left": "issue:1889", "right": "issue:2635", "accept": false, - "reason": "Both mention DPM++ schedulers, but one asks about a variant and the other asks naming/lookup; not the same defect or change." + "reason": "A scheduler variant request and a scheduler-name mapping question are related only broadly, not the same issue or fix." }, { "left": "issue:7223", "right": "issue:9303", "accept": false, - "reason": "These are separate feature requests for different video-generation models." + "reason": "Separate feature requests for different video models; not the same underlying change." }, { "left": "issue:10590", "right": "issue:10891", "accept": false, - "reason": "Both mention bfloat16, but one is Sana tiled VAE decode and the other is DCAE type conversion; different failures." + "reason": "Both mention bfloat16, but one is Sana tiled VAE decode and the other is DCAE internal type conversion; different code paths." }, { "left": "issue:2905", "right": "issue:6452", "accept": false, - "reason": "Scheduler sigmas support and masked_image_latents input are unrelated changes." + "reason": "Adding Karras sigmas to schedulers and adding masked_image_latents are unrelated feature requests." }, { "left": "issue:4923", "right": "issue:6423", "accept": false, - "reason": "AudioLDM2 transcript support and fill50k result reproduction are unrelated issues." + "reason": "AudioLDM2 transcript support and fill50k reproduction are unrelated issues." }, { "left": "issue:10520", "right": "issue:9306", "accept": false, - "reason": "Both are device-mismatch symptoms, but they involve different pipelines and likely different root causes." + "reason": "Both are device-placement errors, but they concern different pipelines and likely different bugs." }, { "left": "issue:10227", "right": "issue:11653", "accept": false, - "reason": "Both concern LoRA handling, but one is a feature limitation on feature sizes and the other is alpha-key support." + "reason": "Both concern LoRA support, but one is a feature limitation on feature sizes and the other is .alpha-key compatibility; not the same fix." }, { "left": "issue:11569", "right": "issue:11710", "accept": false, - "reason": "A repo request for LTXV is unrelated to MagCache support." + "reason": "Different feature requests for different models/projects; no shared code defect." }, { "left": "issue:11644", "right": "issue:8435", "accept": false, - "reason": "Both are loading errors, but for different APIs and different pipelines." + "reason": "LTXConditionPipeline init failure and from_single_file runtime error are different loading paths and symptoms." }, { "left": "issue:2676", "right": "issue:702", "accept": false, - "reason": "Scheduler naming/support questions are not the same as reverse-sampling support." + "reason": "Scheduler naming question and reverse sampling proposal are about the same area but not the same underlying change." }, { "left": "issue:3300", "right": "issue:4265", "accept": false, - "reason": "General Hugging Face breakage is not the same as a specific import error for one pipeline." + "reason": "A general 'Diffusers on HuggingFace are broken' report and an import error for a specific pipeline are not the same bug." }, { "left": "issue:4303", "right": "issue:7751", "accept": false, - "reason": "These concern different model conversion/loading workflows." + "reason": "Flax SDXL loading crash and animatediff conversion errors are unrelated." }, { "left": "issue:7936", "right": "issue:7939", "accept": false, - "reason": "Both are local-loading complaints, but one is an invalid JSON parse on safetensors and the other is a failure to load a model from the same folder." + "reason": "Both are loading failures, but one is invalid JSON in a safetensors file and the other is loading from the same folder; different causes." }, { "left": "issue:3975", "right": "issue:5327", "accept": false, - "reason": "A typo in an error message is unrelated to a textual inversion loading crash." + "reason": "A typo in an error message and SDXL textual inversion loading failure are unrelated." }, { "left": "issue:3199", "right": "issue:3300", "accept": false, - "reason": "Custom pipelines broken and Hugging Face release broken are too broad to be the same bug." + "reason": "Custom pipelines broken and HF-hosted diffusers broken are too broad and refer to different problems." }, { "left": "issue:2053", "right": "issue:4159", "accept": false, - "reason": "Both mention VRAM, but one is a regression report and the other is a specific DiffEdit memory blowup." + "reason": "Both mention VRAM, but one is a version-wide regression and the other is DiffEdit's high memory use; not the same issue." }, { "left": "issue:7293", "right": "issue:8780", "accept": false, - "reason": "An AudioLDM2 feature request is unrelated to a generic dtype mismatch report." + "reason": "AudioLDM2 model integration request and a generic dtype mismatch error are unrelated." }, { "left": "issue:10302", "right": "issue:9667", "accept": false, - "reason": "FP8 inference noise and loading a local flux transformer file are different issues." + "reason": "Both involve FP8/transformer-flux context, but one reports inference noise without CPU offloading and the other a local file loading error; different fixes." }, { "left": "issue:5558", "right": "issue:6101", "accept": false, - "reason": "Artefacts with multiple ControlNets and slow ControlNet inpaint performance are different problems." - }, - { - "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": "A scheduler add_noise edge case and an unrecognized scheduler file are unrelated." + "reason": "Same pipeline family, but one is output artefacts with multiple ControlNets and the other is performance regression; not the same concrete bug." } ] }, @@ -57203,17 +57068,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10066", "issue:10591", "issue:10772", "issue:10855", - "issue:12037", "issue:12147", "issue:13279", "issue:1343", "issue:1961", + "issue:2150", "issue:2220", "issue:2312", "issue:2331", @@ -57221,12 +57085,12 @@ "issue:2424", "issue:2453", "issue:2644", + "issue:2783", "issue:2843", "issue:3480", "issue:3689", "issue:3694", "issue:3740", - "issue:4447", "issue:4453", "issue:4724", "issue:4782", @@ -57236,6 +57100,7 @@ "issue:5197", "issue:5829", "issue:6055", + "issue:6069", "issue:6090", "issue:6288", "issue:6357", @@ -57243,7 +57108,7 @@ "issue:6570", "issue:7210", "issue:7895", - "issue:8465", + "issue:8323", "issue:8477", "issue:8514", "issue:8543", @@ -57255,6 +57120,8 @@ "issue:9979" ], "soft_pairs": [ + "issue:2150|issue:2783", + "issue:6069|issue:8323", "issue:6570|issue:9225", "issue:10772|issue:9511", "issue:10855|issue:8543", @@ -57276,182 +57143,180 @@ "issue:1961|issue:6055", "issue:10591|issue:7895", "issue:1343|issue:2424", - "issue:5829|issue:6288", - "issue:4447|issue:8465", - "issue:10066|issue:12037" + "issue:5829|issue:6288" ], - "prepared_review_unit_hash": "ee3527d1de87be1deca4c3f8940a012b8076fb9f5de8986b671c1e3574e01b91", + "prepared_review_unit_hash": "69294bcaec44989ad1b27bbceaba42f1a8c202fed85d6977b4c741cfaaea570a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33813, - "estimated_input_tokens": 8454, - "estimated_eval_tokens": 17164 + "serialized_chars": 33639, + "estimated_input_tokens": 8410, + "estimated_eval_tokens": 17076 }, "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 subsystem keywords (SDXL, LoRA, ControlNet, accelerate, training). None of the soft pairs looks like the same underlying bug/change closely enough to merge.", - "confidence": 0.97, - "canonical_issue_reason": "issue:6570 is a concrete, well-scoped runtime bug report with a specific pipeline and reproducible tensor-shape failure, making it the best representative issue in this otherwise heterogeneous cluster.", + "summary": "This is a noisy, heterogeneous cluster of unrelated issue reports across training scripts, pipeline features, scheduler/runtime errors, and dependency/loading problems. None of the soft edges look like the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:6570 is the most actionable and technically specific issue here; it has a clear error and target code path, unlike the broader feature requests and vague problem reports.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2150", + "right": "issue:2783", + "accept": false, + "reason": "Both are ControlNet-adjacent, but one is about texture projection with img2img and the other is a request for an img2img/inpainting ControlNet pipeline; different feature work." + }, + { + "left": "issue:6069", + "right": "issue:8323", + "accept": false, + "reason": "Different failure modes: a scheduler math bug at t=0 versus a Chinese-language scheduler file recognition issue." + }, { "left": "issue:6570", "right": "issue:9225", "accept": false, - "reason": "Both involve SDXL InstructPix2Pix shape issues, but one is a general tensor mismatch and the other is specifically rgba latent sizing; similar symptom, not the same concrete bug." + "reason": "Both involve SDXL InstructPix2Pix, but one is a tensor-size mismatch in the pipeline and the other is a latent-size issue specifically with RGBA images; related but not the same concrete bug." }, { "left": "issue:10772", "right": "issue:9511", "accept": false, - "reason": "Different features and models: Sana ControlNet support vs SDXL ControlNet inpaint batching. Same broad domain, not one bug/change." + "reason": "Sana ControlNet support request and multi-ControlNet batching for SDXL inpaint are separate feature requests for different pipelines." }, { "left": "issue:10855", "right": "issue:8543", "accept": false, - "reason": "Gradient accumulation optimizer stepping bug is unrelated to SD3 dreambooth gradient checkpointing failure." + "reason": "Gradient accumulation stepping every iteration is an optimizer loop bug, while the SD3 dreambooth issue is about gradient checkpointing failure; unrelated training problems." }, { "left": "issue:3694", "right": "issue:5197", "accept": false, - "reason": "Pokemon example path/config issue is unrelated to multi-GPU slowdown during text-to-image finetuning." + "reason": "One is a missing model/config path during example fine-tuning; the other is multi-GPU training being slower than single GPU. Different symptoms and root causes." }, { "left": "issue:2331", "right": "issue:2390", "accept": false, - "reason": "ControlNet pipeline support and T2I-Adapter support are separate feature requests with different implementation targets." + "reason": "Both are pipeline feature requests, but ControlNet and T2I-Adapter are distinct integrations with different code paths." }, { "left": "issue:2453", "right": "issue:4923", "accept": false, - "reason": "How to contribute is a meta question; AudioLDM 2 transcript/TTS is a specific feature request." + "reason": "A general contribution question is unrelated to an AudioLDM 2 feature request." }, { "left": "issue:4724", "right": "issue:8994", "accept": false, - "reason": "SDXL img2img checkpoint behavior and generation steps stuck at 0 are different failure modes and code paths." + "reason": "Both mention generation behavior, but one is SDXL img2img not working as expected and the other is steps stuck at 0; not the same bug." }, { "left": "issue:3740", "right": "issue:7210", "accept": false, - "reason": "Both mention accelerate/device dispatch, but one is legacy attention block conversion and the other is missing named_parameters on a pipeline object." + "reason": "Different accelerate/device_map issues: legacy attention conversion with sequential dispatch versus missing named_parameters on a pipeline object." }, { "left": "issue:4782", "right": "issue:4907", "accept": false, - "reason": "Mask bleed in inpainting is not the same as an SDXL new-inpainting-model warning." + "reason": "Inpainting mask leakage versus a warning about a new inpainting model under SDXL; different problems." }, { "left": "issue:4874", "right": "issue:6357", "accept": false, - "reason": "Local low_res_scheduler bug and API-vs-local result differences are too broad to be the same underlying defect." + "reason": "Upscale pipeline local-loading bug and API-vs-local output differences are not the same issue." }, { "left": "issue:12147", "right": "issue:13279", "accept": false, - "reason": "Wan2.2 Lightning LoRA loading failure is unrelated to AutoencoderRAE loading with older transformers." + "reason": "Different model-loading failures: Wan2.2 Lightning LoRA loading versus AutoencoderRAE loading with older transformers." }, { "left": "issue:8477", "right": "issue:8514", "accept": false, - "reason": "Both are distributed-training errors, but the scripts and failure causes differ; not the same concrete bug." + "reason": "Both are distributed training errors, but one is a DDP error in a consistency script and the other is an EMAModel/InstructP2P parallel fine-tuning failure; not the same code path." }, { "left": "issue:6090", "right": "issue:9979", "accept": false, - "reason": "Both are channel mismatch errors, but they occur in different models/pipelines and do not indicate the same fixable code path." + "reason": "Both are tensor/channel mismatch errors, but they occur in different pipelines and likely different model-input contracts." }, { "left": "issue:2220", "right": "issue:2644", "accept": false, - "reason": "Multi-GPU dreambooth problems and whether two 12GB GPUs are sufficient are not the same issue." + "reason": "Both ask about multi-GPU DreamBooth training, but one is general problems and the other is whether training on two 12GB GPUs is supported; not the same concrete bug." }, { "left": "issue:2312", "right": "issue:2843", "accept": false, - "reason": "EMA save hook error and multi-GPU checkpoint saving are related only loosely by saving; not the same bug." + "reason": "EMA hook save error versus multi-GPU checkpoint saving; both are saving-related but distinct failure points and contexts." }, { "left": "issue:3480", "right": "issue:3689", "accept": false, - "reason": "Text-encoder LoRA scale support and unloading LoRA weights are different LoRA API requests." + "reason": "A request for a text-encoder LoRA scale parameter is unrelated to unloading LoRA weights after loading." }, { "left": "issue:4453", "right": "issue:6399", "accept": false, - "reason": "LoRA conversion for A1111 compatibility and LoRA visibility in UIs are related ecosystem concerns, but not one concrete bug." + "reason": "Both concern LoRA compatibility/visibility, but one is SDXL LoRA conversion for A1111 while the other is pytorch_lora_weights visibility in UIs; different interoperability problems." }, { "left": "issue:9069", "right": "issue:9293", "accept": false, - "reason": "NumPy type mismatch and missing Float8 storage object are unrelated type/runtime errors." + "reason": "A NumPy type mismatch versus a missing Float8 storage backend are unrelated dependency/type errors." }, { "left": "issue:1961", "right": "issue:6055", "accept": false, - "reason": "ColossalAI error and generic accelerate error do not point to the same code path or defect." + "reason": "A ColossalAI-specific error and a generic accelerate error are too underspecified and appear unrelated." }, { "left": "issue:10591", "right": "issue:7895", "accept": false, - "reason": "SD3 LoRA training script issue and Flax attention bug are separate stacks and problems." + "reason": "SD3 LoRA training-script problem and Flax memory-efficient attention bug are different frameworks and code paths." }, { "left": "issue:1343", "right": "issue:2424", "accept": false, - "reason": "Enable xformers by default is a feature/policy issue; flake8-comprehension is code-style tooling." + "reason": "Enabling xformers by default is a feature/configuration change; flake8-comprehension checks are linting, not the same change." }, { "left": "issue:5829", "right": "issue:6288", "accept": false, - "reason": "Missing unet_time_cond_proj_dim argument in LCM training is unrelated to the default learning rate discussion." - }, - { - "left": "issue:4447", - "right": "issue:8465", - "accept": false, - "reason": "Restricted model access and missing config.json in from_single_file are entirely different loading failures." - }, - { - "left": "issue:10066", - "right": "issue:12037", - "accept": false, - "reason": "These are different model-specific attention/LoRA compatibility issues with no clear shared fix." + "reason": "LCM training script missing an argument versus default LR being too small; both are training-script issues but not the same bug." } ] }, @@ -57473,13 +57338,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10066", "issue:10100", "issue:1064", - "issue:1083", - "issue:11275", "issue:11907", + "issue:12037", "issue:1546", "issue:1604", "issue:1831", @@ -57487,7 +57352,6 @@ "issue:2044", "issue:2177", "issue:2340", - "issue:2495", "issue:2614", "issue:2646", "issue:2761", @@ -57497,6 +57361,7 @@ "issue:4014", "issue:4210", "issue:4376", + "issue:4447", "issue:4593", "issue:4638", "issue:5981", @@ -57511,6 +57376,7 @@ "issue:7002", "issue:709", "issue:7219", + "issue:8465", "issue:851", "issue:8588", "issue:9063", @@ -57519,12 +57385,13 @@ "issue:9511", "issue:9619", "issue:968", - "issue:9841", "issue:9895", "issue:9904", "issue:9972" ], "soft_pairs": [ + "issue:4447|issue:8465", + "issue:10066|issue:12037", "issue:5981|issue:5989", "issue:4014|issue:6295", "issue:1064|issue:1546", @@ -57544,190 +57411,188 @@ "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:6632|issue:8588" ], - "prepared_review_unit_hash": "fe252bce23b8a9729a0da353e4ee0929b19c00a70587c3f228c585bb32ff1c72", + "prepared_review_unit_hash": "d2751f0ea18b28616664eadc3b7113e6a147cbd904f0880648082fa5e8e48271", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33748, - "estimated_input_tokens": 8437, - "estimated_eval_tokens": 17130 + "serialized_chars": 33854, + "estimated_input_tokens": 8464, + "estimated_eval_tokens": 17184 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly heterogeneous issue reports with only one plausible duplicate pair around SDXL textual inversion; the rest are topical overlaps at best, not the same underlying bug.", - "confidence": 0.44, - "canonical_issue_reason": "Issue 4376 is the strongest anchor for the only plausible duplicate pair because it states the concrete SDXL `load_textual_inversion` crash; 4638 is the broader follow-up symptom.", + "summary": "Mostly unrelated bug/feature reports with superficial title overlap around Flux, schedulers, and model loading. The only clear duplicate-like pair is the SDXL textual inversion failure.", + "confidence": 0.84, + "canonical_issue_reason": "issue:4376 is the clearest concrete bug report in the only strong duplicate pair; it directly describes the SDXL textual inversion crash and is more specific than the companion report.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 4376 is the most concrete, reproducible bug report among the near-overlap candidates and is the best dedupe anchor.", + "best_issue_reason": "issue:4376 is the best representative issue here because it is concrete, reproducible, and the closest match to another report in the set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4447", + "right": "issue:8465", + "accept": false, + "reason": "Both are loading-related, but one is an auth/restriction error and the other is a missing config.json when loading a single-file model; different root causes." + }, + { + "left": "issue:10066", + "right": "issue:12037", + "accept": false, + "reason": "The first is a self.attn unpacking ValueError; the second is LoRA compatibility for Wan 2.2. Different models and failure modes." + }, { "left": "issue:5981", "right": "issue:5989", "accept": false, - "reason": "Both are bugs, but one is a DPMSolver scheduler issue and the other is a safetensors.torch bug; different code paths and symptoms." + "reason": "One is a DPMSolverMultistepScheduler bug, the other a safetensors.torch bug; too broad and different code paths." }, { "left": "issue:4014", "right": "issue:6295", "accept": false, - "reason": "SDXL watermark artifacts and DPM++ SDE artifacts are different generation-quality problems, not the same bug." + "reason": "Both mention image artifacts, but one is SDXL watermark artifacts and the other is sampler-specific artifacts with DPM++ 2M SDE Karras." }, { "left": "issue:1064", "right": "issue:1546", "accept": false, - "reason": "`LMSDiscreteScheduler.add_noise()` failure and truncation warnings on batched inputs are unrelated API paths." + "reason": "Scheduler add_noise failure vs truncation warning breaking batched inputs; not the same bug." }, { "left": "issue:2044", "right": "issue:851", "accept": false, - "reason": "`DistributedDataParallel` missing `dtype` vs float/half mismatch are distinct runtime errors." + "reason": "Both are dtype-related, but one is DDP missing a dtype attribute and the other is a float/half mismatch during loading." }, { "left": "issue:2614", "right": "issue:968", "accept": false, - "reason": "Download-directory configuration and model-loading slowness are separate concerns." + "reason": "A download-directory feature request and a model-loading performance complaint are unrelated." }, { "left": "issue:9511", "right": "issue:9619", "accept": false, - "reason": "Multi-controlnet batching in SDXL inpaint and interrupt support in ControlNet are different feature requests." + "reason": "Different ControlNet feature requests: multi-controlnet batching vs interrupt support." }, { "left": "issue:1831", "right": "issue:2340", "accept": false, - "reason": "Dreambooth class-image precision mismatch is unrelated to the tiny SD safety-checker error." + "reason": "Dreambooth class-image precision mismatch vs tiny pipeline safety checker error; different pipelines and symptoms." }, { "left": "issue:7002", "right": "issue:9972", "accept": false, - "reason": "Both mention huge buffers, but one is an img2img invalid-buffer runtime error and the other is a CogX MacOS buffer allocation issue." + "reason": "Both are buffer-size problems, but one is an img2img invalid-buffer error and the other is a MacOS/CogX 10TB buffer request." }, { "left": "issue:4210", "right": "issue:7000", "accept": false, - "reason": "A usage question about `attention_mask` is unrelated to a PyTorch deprecation warning in outputs.py." + "reason": "An attention_mask usage question and a PyTorch deprecation warning are unrelated." }, { "left": "issue:6113", "right": "issue:6689", "accept": false, - "reason": "Using models from a Hugging Face repo and converting SSD-1B to Diffusers are different tasks." + "reason": "Both are about using/converting models, but one is a how-to question and the other is a specific SSD-1B conversion failure." }, { "left": "issue:4376", "right": "issue:4638", "accept": true, - "reason": "Both report `load_textual_inversion` failing on SDXL; one is the explicit crash, the other the same function not working." + "reason": "Both report the same underlying SDXL textual inversion failure: loading textual inversion on StableDiffusionXL does not work and crashes/breaks." }, { "left": "issue:10100", "right": "issue:7219", "accept": false, - "reason": "Both are feature requests, but ConsisID support and SUPIR upscaler support are unrelated additions." + "reason": "Separate feature requests for different models/upscalers: ConsisID support vs SUPIR Upscaler." }, { "left": "issue:2646", "right": "issue:6238", "accept": false, - "reason": "Tiled VAE `IndexError` and a general SDXL VAE issue are too vague to treat as the same concrete bug." + "reason": "Both mention VAE, but one is a tiled-VAE IndexError and the other is a general SDXL VAE issue; not enough evidence of the same bug." }, { "left": "issue:3933", "right": "issue:4593", "accept": false, - "reason": "Graph compile breaking on `logging.info` and Automatic1111 LoRA rank errors are unrelated." + "reason": "Graph compilation breaking on logging.info is unrelated to LoRA rank loading errors." }, { "left": "issue:11907", "right": "issue:9366", "accept": false, - "reason": "Both involve schedulers, but Flux pipeline failures with DPMSolver/UniPC are not the same bug as AutoPipelineForImage2Image step/strength failures." + "reason": "Both involve schedulers, but the reported failures are in different pipelines and different conditions; too broad to be the same bug." }, { "left": "issue:9141", "right": "issue:9904", "accept": false, - "reason": "Missing `from_single_file()` on FluxPipeline and silent image-shape rounding are different issues." + "reason": "One is missing FluxPipeline.from_single_file, the other is image-shape rounding in FluxPipeline; different changes." }, { "left": "issue:1604", "right": "issue:3191", "accept": false, - "reason": "A broken `lpw_stable_diffusion.py` script and Dreambooth+LoRA failures do not share the same code path." + "reason": "Broken lpw_stable_diffusion.py on a specific version vs Dreambooth+LoRA broken; different workflows and causes." }, { "left": "issue:9063", "right": "issue:9895", "accept": false, - "reason": "Both are FluxPipeline-related, but tokenizer instantiation from a slow version and cross-device tensor placement are distinct failures." + "reason": "Both are FluxPipeline issues, but one is tokenizer instantiation and the other is a device-mismatch regression after a commit." }, { "left": "issue:1941", "right": "issue:2177", "accept": false, - "reason": "Custom pipeline loading for UnCLIP and loading pretrained AutoencoderKL are separate loading problems." - }, - { - "left": "issue:11275", - "right": "issue:9841", - "accept": false, - "reason": "VAE `NoneType` addition in ResnetUpsampleBlock2D and DreamBooth SDXL LoRA type errors are different bugs." + "reason": "Unable to load a custom UnCLIP pipeline vs cannot load pretrained AutoencoderKL; different loading paths." }, { "left": "issue:2761", "right": "issue:709", "accept": false, - "reason": "Documentation requests for different APIs, not duplicates." + "reason": "One asks for docs on UNet1DModel.extra_in_channels; the other is a generic forward docstring documentation task." }, { "left": "issue:3978", "right": "issue:6283", "accept": false, - "reason": "MPS img2img failure and `strength=0` ControlNet img2img behavior are different pipeline issues." + "reason": "MPS img2img failure vs ControlNet img2img strength=0 edge case; unrelated issues." }, { "left": "issue:6632", "right": "issue:8588", "accept": false, - "reason": "Training-script `save_state` behavior and a missing SD3 conversion script are unrelated." - }, - { - "left": "issue:1083", - "right": "issue:2495", - "accept": false, - "reason": "FP16 ONNX incorrect output and an MPS black-image issue are different platform/model bugs." + "reason": "A question about save_state in LoRA training scripts vs a missing SD3 conversion script; not the same bug or change." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary stays grounded in the packet: it treats most pairs conservatively as non-duplicates and only elevates the SDXL `load_textual_inversion` pair, which is the one clearly plausible overlap from the titles. No soft-edge verdict looks overstated from the available evidence." + "feedback": "The analysis is grounded in the packet and the soft-edge verdicts are conservative. The one accepted pair, issue:4376 and issue:4638, is a well-supported duplicate-like match about SDXL textual inversion failing. The remaining pairs are reasonably rejected with distinct root causes or different feature requests." }, "evaluator_used": true, "retried": false, @@ -57746,23 +57611,23 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10336", "issue:10671", + "issue:1083", "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:2495", "issue:3249", "issue:3406", "issue:4232", @@ -57798,6 +57663,7 @@ "issue:9792" ], "soft_pairs": [ + "issue:1083|issue:2495", "issue:7415|issue:9476", "issue:11432|issue:13446", "issue:1434|issue:4674", @@ -57820,181 +57686,180 @@ "issue:6460|issue:9148", "issue:2402|issue:4880", "issue:2331|issue:4232", - "issue:6162|issue:7575", - "issue:12783|issue:13105" + "issue:6162|issue:7575" ], - "prepared_review_unit_hash": "397ca804e5e43864fc5b077b1dfe8d631b83dd628bfc7d675a3436ac7c99eb2c", + "prepared_review_unit_hash": "cba4b3945b9facb5a6a20ebd8fddf15a14132d381538182d3ed45a476e08baa9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34270, - "estimated_input_tokens": 8568, - "estimated_eval_tokens": 17392 + "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 heterogeneous: it mixes unrelated bugs, feature requests, training issues, and model-specific regressions. None of the soft edges look like true duplicates of the same underlying change or bug, so no canonical issue emerges.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "The soft pairs are only superficially similar; they cover different bugs, APIs, platforms, and feature requests. I would not merge any of them as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the set is heterogeneous, and the soft pairs do not describe the same underlying bug or change.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:13446 is the strongest standalone representative: it is open, substantive, and describes a concrete from_pretrained trust-check problem with clear code impact.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1083", + "right": "issue:2495", + "accept": false, + "reason": "Different platforms and failures: FP16 ONNX output correctness vs MPS black-image rendering." + }, { "left": "issue:7415", "right": "issue:9476", "accept": false, - "reason": "Both are dtype-related, but one is a TPU bfloat16 AutoencoderKL issue and the other is a FLUX validation mismatch between float and bfloat16. Different models and code paths." + "reason": "Different components and symptoms: TPU bfloat16 AutoencoderKL behavior vs Flux LoRA validation dtype mismatch." }, { "left": "issue:11432", "right": "issue:13446", "accept": false, - "reason": "`torch_dtype=\"auto\"` loading behavior and custom_pipeline trust checks are separate `from_pretrained` concerns, not the same bug." + "reason": "One is a torch_dtype='auto' loading bug; the other is a custom_pipeline trust/security check." }, { "left": "issue:1434", "right": "issue:4674", "accept": false, - "reason": "Both mention memory, but one is OOM during upscaling and the other is a memory leak when changing width/height across calls. Different failure modes." + "reason": "Both mention memory, but one is OOM on large upscales while the other is a width/height-switch memory leak." }, { "left": "issue:8809", "right": "issue:9637", "accept": false, - "reason": "Sequence-length inconsistency in a feedforward path is not the same as XFormers attention-mask/bfloat16 failures on non-multiple-of-8 lengths." + "reason": "Different code paths: feedforward output inconsistency vs xFormers attention-mask/bfloat sequence-length failure." }, { "left": "issue:10016", "right": "issue:4410", "accept": false, - "reason": "Both are shape-mismatch load errors, but they affect different tensors/components (`pos_embed` vs `conv_in.weight`) and likely different model families." + "reason": "Both are model-load shape mismatches, but they involve different tensors, models, and loading paths." }, { "left": "issue:6176", "right": "issue:7574", "accept": false, - "reason": "Loading LoRA weights after DreamBooth training is unrelated to a missing `middle_block_out.0.weight` key error." + "reason": "Different failure types: LoRA weight loading after training vs a KeyError on a missing checkpoint key." }, { "left": "issue:6666", "right": "issue:8729", "accept": false, - "reason": "Both involve validation images, but one is black validation output while the other is an unexpected validation image in a webdataset training script. Not the same bug." + "reason": "Both involve validation images, but the reported problems differ: black outputs vs an unexpected validation sample in a training script." }, { "left": "issue:5368", "right": "issue:5897", "accept": false, - "reason": "A mixed-precision QKV dtype mismatch is a different problem from a LoRA training device-placement error across CPU and CUDA." + "reason": "Different mismatch classes: fp16 dtype mismatch in attention vs CPU/CUDA device mismatch during LoRA training." }, { "left": "issue:4450", "right": "issue:7294", "accept": false, - "reason": "Multi-textual inversion not working and an incorrect text-encoder grad setting in custom diffusion are separate training features/issues." + "reason": "Both are training-related, but one is multi-text inversion not working and the other is a wrong text-encoder grad setting in Custom Diffusion." }, { "left": "issue:6132", "right": "issue:9303", "accept": false, - "reason": "A core serialization class registry change and a request to add a new pipeline are unrelated." + "reason": "Feature request mismatch: adding LOADABLE_CLASSES vs adding a new VEnhancer model/pipeline." }, { "left": "issue:12052", "right": "issue:12728", "accept": false, - "reason": "Both are Wan 2.2-related, but one is offloading causing cross-device tensor multiplication and the other is `torch.compile`/channels_last with Dynamo unsupported behavior. Different code paths." + "reason": "Same model family, but different concrete bugs: offloading device-mismatch multiply vs torch.compile/channels_last/Dynamo unsupported behavior." }, { "left": "issue:5647", "right": "issue:5799", "accept": false, - "reason": "`strength==1` in SDXL inpainting is a concrete pipeline bug; the other is a request/question about accepting a `strength` keyword. Not duplicates." + "reason": "Different inpainting strength issues: a strength==1 bug vs a keyword-argument/API request for strength." }, { "left": "issue:1161", "right": "issue:759", "accept": false, - "reason": "Converting Flax models to PyTorch and making full-model saving optional for textual inversion are unrelated maintenance/feature tasks." + "reason": "Unrelated tasks: Flax-to-PyTorch conversion vs optional full-model saving for textual inversion." }, { "left": "issue:4724", "right": "issue:6548", "accept": false, - "reason": "SDXL img2img checkpoint behavior and RGBA images being misinterpreted as latents are different pipeline bugs." + "reason": "Both touch img2img, but one is SDXL base checkpoint behavior and the other is RGBA inputs being misread as latents." }, { "left": "issue:8469", "right": "issue:9680", "accept": false, - "reason": "Corrupt IP-Adapter face outputs are not the same as broken SDXL unconditional generation." + "reason": "Different pipelines and symptoms: corrupt IP-Adapter faces vs broken SDXL unconditional generation." }, { "left": "issue:3249", "right": "issue:6164", "accept": false, - "reason": "An invalid `upsample_size` argument on an attention up block is unrelated to latent output-type handling in StableDiffusionPipeline." + "reason": "Unrelated bugs: an invalid AttnUpBlock2D argument vs incorrect handling of latent output type." }, { "left": "issue:10336", "right": "issue:10671", "accept": false, - "reason": "Sana activation explosion/clamping and DiffusionPipeline dtype/device determination are unrelated issues." + "reason": "Different problem classes: Sana activation explosion/clamping vs a deterministic dtype/device getter issue in DiffusionPipeline." }, { "left": "issue:11396", "right": "issue:9792", "accept": false, - "reason": "LoRA conversion to ComfyUI format and cache loading while mapping a dataset have no shared underlying bug." + "reason": "Conversion/help request vs dataset cache-mapping failure; no shared underlying bug." }, { "left": "issue:1704", "right": "issue:3406", "accept": false, - "reason": "A general question about an attention block is not the same as a bug where Attention with `only_cross_attention=True` fails." + "reason": "A question about attention blocks is not the same as a bug in only_cross_attention=True handling." }, { "left": "issue:6460", "right": "issue:9148", "accept": false, - "reason": "Endless loading of an inpainting model and a request to add a Flux inpainting pipeline are unrelated." + "reason": "Loading an existing inpainting model hanging is not the same as requesting a new Flux inpainting pipeline." }, { "left": "issue:2402", "right": "issue:4880", "accept": false, - "reason": "CUDA-not-enabled is an environment/runtime setup error, while the ControlNet issue is a separate image-type validation bug." + "reason": "Environment/runtime CUDA support error vs ControlNet input-type validation error." }, { "left": "issue:2331", "right": "issue:4232", "accept": false, - "reason": "Adding a ControlNet pipeline and training/inference code for instruct-pix2pix with controlnet conditioning are different feature requests." + "reason": "A new ControlNet pipeline request is not the same as training/inference code for instruct-pix2pix with controlnet conditioning." }, { "left": "issue:6162", "right": "issue:7575", "accept": false, - "reason": "IP-Adapter SDXL shape mismatch and Transformer2DModel adanorm shape errors are distinct shape problems in different components." - }, - { - "left": "issue:12783", - "right": "issue:13105", - "accept": false, - "reason": "Both mention noisy output, but one is specifically Sage Attention on sm90 and the other is Wan 2.1 model output noise. Too different to treat as the same bug." + "reason": "Both are shape errors, but they occur in different models/components and likely different fixes." } ] }, @@ -58016,7 +57881,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10382", "issue:1062", @@ -58026,6 +57891,8 @@ "issue:11569", "issue:12110", "issue:12633", + "issue:12783", + "issue:13105", "issue:1463", "issue:1566", "issue:1672", @@ -58056,18 +57923,16 @@ "issue:660", "issue:6790", "issue:7054", - "issue:7243", "issue:7454", "issue:7629", "issue:8560", - "issue:8565", "issue:861", "issue:8613", "issue:9216", - "issue:9264", - "issue:9362" + "issue:9264" ], "soft_pairs": [ + "issue:12783|issue:13105", "issue:3915|issue:660", "issue:2695|issue:3467", "issue:3689|issue:7454", @@ -58090,188 +57955,180 @@ "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:5000|issue:5518" ], - "prepared_review_unit_hash": "be5590692fca9d20f94a1cc2470306aaeebd1f902a70995c618db76098091ac5", + "prepared_review_unit_hash": "dcc6f1f8f5d4dd7ca2f204e6f07be128d40fea0c53d536ed09c54333fa655885", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 25, - "serialized_chars": 34090, - "estimated_input_tokens": 8523, - "estimated_eval_tokens": 17302 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33220, + "estimated_input_tokens": 8305, + "estimated_eval_tokens": 16866 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a real duplicate cluster: the issue titles span many unrelated bugs, feature requests, and usage questions. The soft pairs mostly share broad subsystem keywords (LoRA, Dreambooth, OOM, scheduler, etc.) but do not describe the same concrete failure or change.", - "confidence": 0.96, - "canonical_issue_reason": "No canonical issue stands out because the items are heterogeneous and the soft links are only loose topical similarities, not duplicate reports of one underlying bug.", - "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 cluster representative; any choice would be arbitrary because the paired items are about different code paths and user problems.", - "best_pr_reason": "No PRs are present in the input, so there is no best PR candidate.", + "summary": "The soft pairs are mostly weak title-level similarities across different models, schedulers, or training features. I don\u2019t see any pair that is safely the same underlying bug/change, so all soft edges should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:12633 is the clearest standalone bug report here: it names a specific scheduler path, a precise mismatch condition (`timestep_spacing='linspace'`), and should be easy to triage.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12783", + "right": "issue:13105", + "accept": false, + "reason": "Both mention noisy/confetti output, but one is about Sage Attention sm90 and the other about a Wan model outputting noise; different failure contexts and likely different fixes." + }, { "left": "issue:3915", "right": "issue:660", "accept": false, - "reason": "Both mention inference/runtime settings, but one is torch.compile on text-to-video pipelines and the other is fp16 on M1 MPS; different bug and code path." + "reason": "`torch.compile` on text-to-video pipelines is unrelated to MPS fp16 image generation; shared wording is only about PyTorch/runtime settings." }, { "left": "issue:2695", "right": "issue:3467", "accept": false, - "reason": "Both are ControlNet training issues, but one is TensorBoard validation failure and the other is incorrect resume step calculation; not the same defect." + "reason": "Both concern training workflows and validation/resume behavior, but one is Tensorboard validation failure in ControlNet training and the other is wrong resume step with gradient accumulation." }, { "left": "issue:3689", "right": "issue:7454", "accept": false, - "reason": "One asks how to unload LoRA weights after loading, the other is a feature request for LoRA support; different user needs." + "reason": "Both are LoRA-related, but one asks how to unload weights after loading and the other is a generic feature request for LoRA support; not the same bug/change." }, { "left": "issue:5574", "right": "issue:5575", "accept": false, - "reason": "Both are LoRA training questions, but one is about training part of UNet attention params and the other about setting transformer_in hidden size; not duplicates." + "reason": "Both are LoRA training questions, but one is about training part of UNet attention parameters and the other about hidden size for `transformer_in`; distinct configuration issues." }, { "left": "issue:1931", "right": "issue:2440", "accept": false, - "reason": "Both involve float16, but one is a scalar-type mismatch in SD2 and the other is an OOM while loading inpainting; different failure modes." + "reason": "Both involve float16-related failures, but one is a scalar type mismatch in Stable Diffusion 2 and the other is an inpainting model load error in float16; different code paths." }, { "left": "issue:2266", "right": "issue:460", "accept": false, - "reason": "Sequential CPU offload slowdown and ONNX CPU runtime dependency are unrelated performance vs packaging issues." + "reason": "Both relate to performance/runtime on specific hardware setups, but one is sequential CPU offload slowdown and the other is ONNX runtime backend selection; not the same issue." }, { "left": "issue:3045", "right": "issue:3139", "accept": false, - "reason": "Converting LoRA safetensors to diffusers is not the same as asking how to use a safetensors file for generation." + "reason": "One is about converting LoRA safetensors to diffusers, the other about using a safetensors file for generation; adjacent topics but different user needs." }, { "left": "issue:6790", "right": "issue:7054", "accept": false, - "reason": "One is an LCM training state_dict key mismatch, the other a LoRA loader mutating/emptying the passed state_dict; different components." + "reason": "Both mention LoRA/LCM training state handling, but one is a missing key in a training state_dict and the other is input state_dict being emptied by `load_lora_weights`; different bugs." }, { "left": "issue:1062", "right": "issue:4331", "accept": false, - "reason": "Both mention Dreambooth, but one is a broad reproducibility complaint and the other compares two training scripts; not the same bug." + "reason": "Both reference DreamBooth results, but one is a general inability to reproduce paper results and the other is a mismatch between two training scripts; not the same defect." }, { "left": "issue:10382", "right": "issue:12110", "accept": false, - "reason": "VAE encoder return-type mismatch vs UNet1D GaussianFourier initialization bug; unrelated modules and errors." + "reason": "One reports a VAE encoder return-type mismatch causing AttributeError; the other is a UNet1DModel GaussianFourier initialization bug. Different modules and failures." }, { "left": "issue:10695", "right": "issue:12633", "accept": false, - "reason": "Both are scheduler timestep issues, but they affect different schedulers and different logic paths." + "reason": "Both concern DDIM scheduler timestep handling, but one is DDIMInverseScheduler previous timestep calculation and the other is DDIMScheduler spacing mismatch; related area, not the same bug." }, { "left": "issue:1566", "right": "issue:3647", "accept": false, - "reason": "Checkpoint-save crash with fp16 output is unrelated to Dreambooth training with DeepFloyd." + "reason": "Both touch DreamBooth training, but one crashes after saving with fp16 output and the other is training with DeepFloyd; different scenarios and failure modes." }, { "left": "issue:2984", "right": "issue:3087", "accept": false, - "reason": "A paper/project announcement is not the same as a request for LyCORIS model support." + "reason": "Latent Video Diffusion Models and LyCORIS support are separate feature requests with no shared concrete bug or code path." }, { "left": "issue:3944", "right": "issue:4912", "accept": false, - "reason": "Custom LoRA rank training and converting custom SDXL checkpoints are different tasks and code paths." + "reason": "Both ask for more LoRA/customization support, but one is network rank customization in Dreambooth and the other is converting custom SDXL checkpoints; different requests." }, { "left": "issue:9216", "right": "issue:9264", "accept": false, - "reason": "A pipeline that combines many models is unrelated to requesting an inpainting model for Flux." + "reason": "A general multi-model pipeline idea and a Flux inpainting feature request are unrelated feature requests." }, { "left": "issue:2549", "right": "issue:4692", "accept": false, - "reason": "One reports SD2.0 UNet incompatibility, the other UNet2DConditionModel memory usage; same class name but different problems." + "reason": "Both mention UNet2DConditionModel, but one says the model doesn't work for SD 2.0 and the other asks about memory usage; not the same bug." }, { "left": "issue:1672", "right": "issue:861", "accept": false, - "reason": "Wrong output image size after ckpt-to-diffusers conversion is different from failing to convert the checkpoint at all." + "reason": "Both are conversion-related, but one reports wrong image size after ckpt-to-diffusers conversion and the other cannot convert a ckpt model at all; different failure points." }, { "left": "issue:11223", "right": "issue:7629", "accept": false, - "reason": "Both mention OOM, but one is WAN with LoRAs and layer-wise upcasting, the other is SVD on PyTorch 1.13.1; not the same issue." + "reason": "Both are OOM reports, but one is layer-wise upcasting with WAN and LoRAs, while the other is SVD on PyTorch 1.13.1 versus 2.x; different root causes." }, { "left": "issue:1463", "right": "issue:5402", "accept": false, - "reason": "Missing datasets dependency and missing compute_snr import are separate import errors with different fixes." + "reason": "One is a missing `datasets` dependency, the other is an import error for `compute_snr`; both are import issues but unrelated packages/functions." }, { "left": "issue:8560", "right": "issue:8613", "accept": false, - "reason": "Both are OOM reports, but one is SD3 training on a 4090 and the other is caption_column-related OOM; different trigger." + "reason": "Both are OOM reports, but one is SD3 training on a 4090 and the other is caption-column OOM during dataset processing; different stages and triggers." }, { "left": "issue:10672", "right": "issue:11569", "accept": false, - "reason": "A request to support callback_on_step_end is unrelated to asking for a diffusers repo for a specific model." + "reason": "A pipeline callback feature request and a repo request for a specific model are unrelated enhancement requests." }, { "left": "issue:1463", "right": "issue:384", "accept": false, - "reason": "ModuleNotFoundError for datasets and missing latent_dist on DiagonalGaussianDistribution are unrelated errors." + "reason": "Both are missing-module style errors, but one is absent `datasets` and the other is a `DiagonalGaussianDistribution` attribute error; different problems." }, { "left": "issue:5000", "right": "issue:5518", "accept": false, - "reason": "Unfusing LoRAs breaking after fuse/unfuse and a ModuleList missing time are different LoRA-related bugs." - }, - { - "left": "issue:8565", - "right": "issue:9362", - "accept": false, - "reason": "Both are IndexErrors, but they occur in different pipelines with different indices and causes." - }, - { - "left": "issue:7243", - "right": "issue:9216", - "accept": false, - "reason": "ResAdapter is a specific adapter model request; the other is a generic multi-model pipeline claim, not the same change." + "reason": "Both involve LoRA-related regressions, but one is unfusing after fuse/unfuse and the other is a `ModuleList` missing `time`; not the same code path." } ] }, @@ -58293,7 +58150,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10147", "issue:10887", @@ -58301,13 +58158,9 @@ "issue:10987", "issue:11010", "issue:11374", - "issue:11592", - "issue:12009", "issue:12149", - "issue:12396", "issue:12575", "issue:12666", - "issue:12887", "issue:13067", "issue:1909", "issue:2806", @@ -58329,22 +58182,28 @@ "issue:6586", "issue:6685", "issue:7223", + "issue:7243", "issue:7312", "issue:7417", "issue:7428", "issue:8482", "issue:8543", + "issue:8565", "issue:8880", "issue:8918", "issue:8994", "issue:917", + "issue:9216", "issue:9258", + "issue:9362", "issue:938", "issue:9393", "issue:9665", "issue:9732" ], "soft_pairs": [ + "issue:8565|issue:9362", + "issue:7243|issue:9216", "issue:337|issue:917", "issue:5593|issue:7417", "issue:11010|issue:12575", @@ -58366,182 +58225,180 @@ "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:5966|issue:6412" ], - "prepared_review_unit_hash": "7e7f128e6f1db1fd156cb0bd27fb78875e87a43fc41d06075b0c43ff5489e148", + "prepared_review_unit_hash": "0390b8ccd35da16fb178492bab8f56a29b5aa3b628966d6a6cfed5629a1b870f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33352, - "estimated_input_tokens": 8338, - "estimated_eval_tokens": 16932 + "serialized_chars": 33304, + "estimated_input_tokens": 8326, + "estimated_eval_tokens": 16908 }, "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 or change; most are broad title-level similarities only. I\u2019d treat this cluster as mostly unrelated issues, with issue #6545 as the best umbrella-style canonical issue because it is a tracker and has the broadest cross-references.", - "confidence": 0.91, - "canonical_issue_reason": "Issue #6545 is the clearest umbrella/tracker item with the most inbound references and broad scope, making it the best canonical issue among these otherwise unrelated reports.", + "summary": "This cluster is very heterogeneous: it mixes unrelated feature requests, model-support asks, training bugs, and API issues. None of the soft pairs look like the same underlying bug/change, so all should be rejected. The closest representative issue is the broad multi-view generation feature request, but even that is only a loose thematic fit, not a true duplicate anchor.", + "confidence": 0.31, + "canonical_issue_reason": "Issue 10147 is the broadest open feature request in the set and best matches the general 'add model support' theme, though the cluster is not a true duplicate group.", "canonical_pr_reason": null, - "best_issue_reason": "#6545 is the most central and reusable reference point for this set; the others are more specific feature requests or bug reports.", + "best_issue_reason": "10147 is the most generic, representative open issue among mostly model-support requests; it can serve as a loose anchor even though the set is not a coherent duplicate cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8565", + "right": "issue:9362", + "accept": false, + "reason": "Both mention IndexError, but they refer to different pipelines and failure modes; not the same bug." + }, + { + "left": "issue:7243", + "right": "issue:9216", + "accept": false, + "reason": "Both are about new pipeline/model composition, but they are different feature requests and code changes." + }, { "left": "issue:337", "right": "issue:917", "accept": false, - "reason": "Both are inpainting-related, but they describe different problems and code paths; not the same bug." + "reason": "Both concern inpainting, but one is an img2img/text-guided bug and the other is an ONNX inpainting error; not the same issue." }, { "left": "issue:5593", "right": "issue:7417", "accept": false, - "reason": "One is AutoPipeline conversion with ControlNet pipelines; the other is a Mac-specific LoRA fuse test failure. Different issues." + "reason": "ControlNet AutoPipeline failure and a Mac LoRA-fuse test failure are unrelated code paths." }, { "left": "issue:11010", "right": "issue:12575", "accept": false, - "reason": "Both mention Chroma, but one is a model/architecture support request and the other is an attention-backend check error. Different change vs bug." + "reason": "A Flux/Chroma model-support request is not the same as an attention-backend check error." }, { "left": "issue:1909", "right": "issue:2806", "accept": false, - "reason": "Generator handling in schedulers is unrelated to customized pipeline printing behavior." + "reason": "Generator handling in schedulers and pipeline printing/customization are different API problems." }, { "left": "issue:10147", "right": "issue:7223", "accept": false, - "reason": "Multi-view generation with MV-Adapter is unrelated to Latte video generation support." + "reason": "Both are feature requests for new generation capabilities, but MV-Adapter multi-view support and Latte video support are distinct model integrations." }, { "left": "issue:10887", "right": "issue:11374", "accept": false, - "reason": "Import error for StableDiffusionXLTrainer is unrelated to SkyReels-V2 integration." + "reason": "Importing StableDiffusionXLTrainer and CogVideoX ControlNet integration are unrelated." }, { "left": "issue:10987", "right": "issue:8482", "accept": false, - "reason": "Generic spatio-temporal diffusion discussion is not the same as SD3-medium model support." + "reason": "A general spatio-temporal model request and SD3 model support are different features." }, { "left": "issue:4390", "right": "issue:5166", "accept": false, - "reason": "Missing requirements is a dependency/setup issue, while the other is a VQ-VAE scaling-factor bug." + "reason": "Missing requirements and a missing VQVAE scaling factor are different bugs." }, { "left": "issue:5371", "right": "issue:7428", "accept": false, - "reason": "BLIP inpainting support and layer diffusion are different features." + "reason": "BLIP inpainting support and layer diffusion are different feature requests." }, { "left": "issue:6073", "right": "issue:9732", "accept": false, - "reason": "A beginner dreambooth setup error is not the same as Flux guide CUDA OOM." + "reason": "Both involve DreamBooth guides, but one is a beginner setup error and the other is CUDA OOM during Flux training." }, { "left": "issue:6287", "right": "issue:8918", "accept": false, - "reason": "Unused setup dependencies and a broken SD3 dreambooth training script are unrelated." + "reason": "Setup dependency cleanup and a broken SD3 dreambooth script are unrelated." }, { "left": "issue:6685", "right": "issue:8543", "accept": false, - "reason": "Absolute output_dir paths in advanced dreambooth are unrelated to SD3 dreambooth gradient checkpointing." + "reason": "Absolute output_dir path handling and SD3 gradient checkpointing are different bugs." }, { "left": "issue:8880", "right": "issue:9258", "accept": false, - "reason": "Both discuss performance, but one is a version-wide inference slowdown and the other is Windows vs Linux training speed. Different contexts and likely causes." + "reason": "Both are performance complaints, but they concern different workloads and environments." }, { "left": "issue:6545", "right": "issue:6586", "accept": false, - "reason": "Both are trackers for training/example work, but one is modularizing inference and the other is SDXL micro-conditioning; not the same change." + "reason": "A training/inference modularization tracker and SDXL micro-conditioning tracker are different changes." }, { "left": "issue:319", "right": "issue:322", "accept": false, - "reason": "Both are legacy model requests, but VQ-Diffusion and V-Diffusion are different models." + "reason": "Both are early diffusion model requests, but VQ-Diffusion and V-Diffusion are distinct model families." }, { "left": "issue:5605", "right": "issue:7312", "accept": false, - "reason": "Per-image captions for SDXL DreamBooth and AlignProp direct reward finetuning are different training features." + "reason": "Per-image caption support for DreamBooth and AlignProp support are different training features." }, { "left": "issue:9393", "right": "issue:9665", "accept": false, - "reason": "Saving a Flux LoRA under DeepSpeed and accelerator.prepare() being affected by DeepSpeed are related only at a high level, but not the same concrete bug." + "reason": "Both involve DeepSpeed, but one is a save-model failure and the other is accelerator.prepare() behavior." }, { "left": "issue:5931", "right": "issue:8994", "accept": false, - "reason": "Determinism issues in StableDiffusionPipeline are different from generation steps stuck at 0." + "reason": "Nondeterministic generation and generation steps stuck at 0 are different bugs." }, { "left": "issue:10893", "right": "issue:13067", "accept": false, - "reason": "Both are feature requests, but for different models and integrations (CogvideoX ControlNet vs Anima support)." + "reason": "CogVideoX ControlNet integration and Anima support are separate model feature requests." }, { "left": "issue:12149", "right": "issue:12666", "accept": false, - "reason": "Package/source mismatch and missing Kandinsky 5.0 video pipeline are unrelated." + "reason": "Both mention release mismatch or missing pipelines, but they are different versioning/support problems." }, { "left": "issue:4609", "right": "issue:938", "accept": false, - "reason": "Different model requests: t2iadapter_style_sd14v1 vs Human Motion Diffusion Model." + "reason": "A specific T2I-Adapter model request and a human motion diffusion model request are unrelated." }, { "left": "issue:5966", "right": "issue:6412", "accept": false, - "reason": "ControlNet for SD2.1 and ControlNet annotators to ONNX are different parts of the stack." - }, - { - "left": "issue:12009", - "right": "issue:12887", - "accept": false, - "reason": "Both are from_single_file load failures, but for different models and failure modes; not the same bug." - }, - { - "left": "issue:11592", - "right": "issue:12396", - "accept": false, - "reason": "delete_adapters regression and leaf_level/delete_adapters errors are related to adapter deletion, but they are distinct reported failures without enough evidence they are the same bug." + "reason": "ControlNet for SD2.1 and ControlNet annotators to ONNX are different parts of the stack and different changes." } ] }, @@ -58563,7 +58420,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:10147", @@ -58575,10 +58432,11 @@ "issue:11223", "issue:11229", "issue:11315", - "issue:11536", - "issue:11540", "issue:11592", + "issue:12009", + "issue:12396", "issue:12567", + "issue:12887", "issue:13286", "issue:1539", "issue:2177", @@ -58614,6 +58472,8 @@ "issue:9496" ], "soft_pairs": [ + "issue:12009|issue:12887", + "issue:11592|issue:12396", "issue:11109|issue:8667", "issue:11592|issue:13286", "issue:3097|issue:4376", @@ -58636,181 +58496,186 @@ "issue:10542|issue:11093", "issue:5510|issue:9225", "issue:10147|issue:8790", - "issue:10639|issue:8641", - "issue:11536|issue:11540" + "issue:10639|issue:8641" ], - "prepared_review_unit_hash": "f021c05d4137ec384d8e7d681e72599017e0829498b92c870a632a259d69b7fa", + "prepared_review_unit_hash": "815f57ac2a638473d81dbe5c930554ca5953b3704818ed92ed88c9189d5a1fbe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 32771, - "estimated_input_tokens": 8193, - "estimated_eval_tokens": 16642 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33615, + "estimated_input_tokens": 8404, + "estimated_eval_tokens": 17064 }, "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 across different models, schedulers, adapters, typing, MPS, and example scripts. The title overlap is mostly superficial; there is no single shared bug or change. The closest pair is Flux-related (11536/11540), but they still describe different failure modes.", - "confidence": 0.95, - "canonical_issue_reason": "No canonical issue: the items span distinct subsystems and root causes (Flux, SD3, MPS, LoRA, ONNX, video, schedulers), so none safely represents the whole cluster.", + "summary": "All proposed soft edges are superficial title-level similarities rather than the same underlying bug or feature change. The set mixes unrelated models, pipelines, export/type issues, and feature requests, so every candidate pair is rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No true canonical issue stands out; the cluster is heterogeneous and the soft matches only share broad wording.", "canonical_pr_reason": null, - "best_issue_reason": "No single best issue: none captures the cluster\u2019s variety; several items are isolated reports with only broad topical similarity.", + "best_issue_reason": "issue:11229 is the best standalone representative because it is a concrete, reproducible bug report with clear SDXL/MPS context and actionable symptoms.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12009", + "right": "issue:12887", + "accept": false, + "reason": "Both involve from_single_file loading, but they target different models and failure modes (Wan2.2 GGUF meta-tensor copy error vs z-image-turbo load errors)." + }, + { + "left": "issue:11592", + "right": "issue:12396", + "accept": false, + "reason": "Both mention delete_adapters, but 11592 is a FluxLoraLoaderMixin regression while 12396 is a separate leaf_level + delete_adapters error path." + }, { "left": "issue:11109", "right": "issue:8667", "accept": false, - "reason": "Different problems: LoRA layer mismatch vs SD3ControlNet tensor-size mismatch; same broad area, not the same bug." + "reason": "Different bugs: depth LoRA transformer-layer mismatch vs SD3ControlNet image-size mismatch." }, { "left": "issue:11592", "right": "issue:13286", "accept": false, - "reason": "Flux LoRA adapter regression and torchao quantization support are unrelated code paths and failures." + "reason": "Unrelated problems: adapter deletion regression vs unsupported torchao quantization version." }, { "left": "issue:3097", "right": "issue:4376", "accept": false, - "reason": "Both mention load_textual_inversion, but one is a no-op and the other is a crash in SDXL; not the same underlying issue." + "reason": "Both touch textual inversion, but one is a no-op report and the other is a pipeline crash in SDXL; different concrete failures." }, { "left": "issue:3537", "right": "issue:7368", "accept": false, - "reason": "ControlNet conversion script request vs GLIGEN training request; different feature areas entirely." + "reason": "A controlnet conversion script request and GLIGEN training support are different changes with no shared bug." }, { "left": "issue:3799", "right": "issue:7535", "accept": false, - "reason": "Typing/inference issues, but different APIs and symptoms: scheduler from_pretrained inference type vs FloatTensor/Tensor hint mismatch." + "reason": "Both are typing-related, but one is scheduler type inference and the other is a FloatTensor type-hint incompatibility." }, { "left": "issue:5576", "right": "issue:6186", "accept": false, - "reason": "Both are video-diffusion feature requests, but they target different capabilities and models, not one concrete change." + "reason": "A new scheduler request and i2vgen-xl support are unrelated feature requests." }, { "left": "issue:11223", "right": "issue:12567", "accept": false, - "reason": "WAN LoRA OOM with layer-wise upcasting vs Ulysses Attention producing noise; distinct bugs." + "reason": "Different symptoms and code paths: WAN LoRA OOM with layer-wise upcasting vs noise from Ulysses Attention." }, { "left": "issue:10003", "right": "issue:9362", "accept": false, - "reason": "Scheduler bug at 1000 inference steps vs an index-out-of-bounds error; no concrete shared failure path." + "reason": "Scheduler bugs at 1000 steps and an index-out-of-bounds error are not the same underlying issue." }, { "left": "issue:2830", "right": "issue:4949", "accept": false, - "reason": "Both are video-related requests, but one is image/text-to-video and the other is video in/outpainting." + "reason": "Both are video-related questions, but one asks about image/text-to-video with ModelScope and the other is about ProPainter in/outpainting." }, { "left": "issue:3171", "right": "issue:3537", "accept": false, - "reason": "Both touch ControlNet, but one is LPW prompt support and the other is a conversion script; different deliverables." + "reason": "LPW prompt support for ControlNet and a ControlNet conversion script are different requests." }, { "left": "issue:8482", "right": "issue:8504", "accept": false, - "reason": "SD3-medium support vs selecting text encoders for SD3 training; related model family, but not the same bug or change." + "reason": "SD3-medium core support and choosing text encoders for SD3-medium are related only broadly; they are not the same concrete change." }, { "left": "issue:2177", "right": "issue:3379", "accept": false, - "reason": "AutoencoderKL loading failure and Dreambooth intermediate checkpoint loading are separate loading problems." + "reason": "Different loading failures: pretrained AutoencoderKL vs Dreambooth intermediate checkpoint loading." }, { "left": "issue:9370", "right": "issue:9496", "accept": false, - "reason": "Both are forward-signature/runtime errors, but in different models and modules; not enough evidence of one underlying defect." + "reason": "Both are SD3 forward-path errors, but one is a missing pooled_projection argument and the other is a different ControlNet forward failure." }, { "left": "issue:11229", "right": "issue:11315", "accept": false, - "reason": "Both involve MPS, but one is NaNs from attention slicing and the other is a float64 rope implementation issue; different root causes." + "reason": "Both mention MPS, but NaNs from attention slicing and float64 rope breaking on MPS have different causes and fixes." }, { "left": "issue:1083", "right": "issue:1539", "accept": false, - "reason": "ONNX FP16 incorrect output is unrelated to a conversion-script type bug." + "reason": "An FP16 ONNX correctness issue and a conversion-script type-int bug are unrelated." }, { "left": "issue:4969", "right": "issue:656", "accept": false, - "reason": "ImportError for CrossAttention and a dreambooth training error are unrelated." + "reason": "CrossAttention import failure and a Dreambooth training error on 16GB GPUs are different issues." }, { "left": "issue:5455", "right": "issue:7606", "accept": false, - "reason": "Notebook subprocess failure in dreambooth+lora vs a deprecated LoRA processor; not the same concrete bug." + "reason": "A subprocess failure in a notebook and a deprecated LoRA processor warning are not the same bug." }, { "left": "issue:9069", "right": "issue:9298", "accept": false, - "reason": "Both are type/storage errors, but they refer to different libraries/types and different failure modes." + "reason": "These are different type/storage problems: ndarray type mismatch vs missing Float8 storage object." }, { "left": "issue:5689", "right": "issue:9166", "accept": false, - "reason": "Residual noise in DPM++ vs apply_overlay behavior; same vague area of image generation, but different bugs." + "reason": "Residual noise in DPM++ output and unexpected apply_overlay behavior are separate issues in different subsystems." }, { "left": "issue:10542", "right": "issue:11093", "accept": false, - "reason": "Hunyuan video batch-size regression and TorchAO example breakage are separate issues with no shared code path." + "reason": "Hunyuan Video batch-size breakage and a broken TorchAO example are unrelated." }, { "left": "issue:5510", "right": "issue:9225", "accept": false, - "reason": "Both are pipeline runtime errors, but one is dtype mismatch and the other is latent-size mismatch with rgba images." + "reason": "Half/float bias mismatch in SDXL InstructPix2Pix and RGBA latent size mismatch are different pipeline bugs." }, { "left": "issue:10147", "right": "issue:8790", "accept": false, - "reason": "MV-Adapter support request and SDXL TensorRT + IP Adapter are different integration requests." + "reason": "A multi-view generation feature request and SDXL TensorRT + IP Adapter support are unrelated requests." }, { "left": "issue:10639", "right": "issue:8641", "accept": false, - "reason": "Lumina-Image 2.0 support and Lumina-T2X integration are separate model-support tasks." - }, - { - "left": "issue:11536", - "right": "issue:11540", - "accept": false, - "reason": "Both are Flux-related, but one is prompt adherence failure while the other is VAE slicing noise/support; not the same bug." + "reason": "Support for Lumina-Image 2.0 and integrating Lumina-T2X are different model additions." } ] }, @@ -58832,7 +58697,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10165", @@ -58843,6 +58708,8 @@ "issue:11109", "issue:11283", "issue:11412", + "issue:11536", + "issue:11540", "issue:11709", "issue:11779", "issue:1185", @@ -58866,14 +58733,12 @@ "issue:4871", "issue:5002", "issue:5171", - "issue:5593", "issue:5661", "issue:6242", "issue:6423", "issue:6446", "issue:7219", "issue:725", - "issue:7569", "issue:8320", "issue:8885", "issue:9026", @@ -58884,6 +58749,7 @@ "issue:9930" ], "soft_pairs": [ + "issue:11536|issue:11540", "issue:4210|issue:5661", "issue:6446|issue:8885", "issue:1101|issue:725", @@ -58906,181 +58772,180 @@ "issue:4871|issue:5171", "issue:9026|issue:9293", "issue:4631|issue:5002", - "issue:1185|issue:4331", - "issue:5593|issue:7569" + "issue:1185|issue:4331" ], - "prepared_review_unit_hash": "562fecff2978a0cfdeb8a12a3c478144b6efcc49c6bb64ffb5a73af1060a6e29", + "prepared_review_unit_hash": "d2e84a8504782f4ba9b50662054e2c3d91ca4ad657111169f1329ac6425734c7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33946, - "estimated_input_tokens": 8487, - "estimated_eval_tokens": 17230 + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No true duplicate pair here: the items span unrelated bugs, feature requests, and loading/runtime failures across Flux, Wan, LoRA, schedulers, and pipelines. All soft edges should be rejected; there is no defensible single canonical issue or PR in this set.", - "confidence": 0.95, - "canonical_issue_reason": null, + "summary": "These items are mostly unrelated issue reports; the soft-similarity pairs do not look like true duplicates and span different pipelines, models, and failure modes.", + "confidence": 0.91, + "canonical_issue_reason": "If this cluster needs an anchor, issue 11536 is the clearest actionable bug report: it describes a concrete FluxPipeline regression with direct user impact and a focused symptom.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 11536 is the strongest representative issue here because it is specific, reproducible in scope, and more concrete than the surrounding feature requests or broad error reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11536", + "right": "issue:11540", + "accept": false, + "reason": "Different bugs: prompt adherence regression vs VAE slicing noise/support gap; separate code paths and different fixes." + }, { "left": "issue:4210", "right": "issue:5661", "accept": false, - "reason": "Different bugs: UNet attention_mask usage vs a missing PreTrainedTokenizer import/name error." + "reason": "A usage question about attention_mask is unrelated to a missing PreTrainedTokenizer import error." }, { "left": "issue:6446", "right": "issue:8885", "accept": false, - "reason": "Different failures: Colab/minimal loading of SD 2-1 vs clip-retrieval install/modifier token in Custom Diffusion." + "reason": "Different problems in different examples: Colab loading of SD2.1 vs clip-retrieval/custom diffusion setup failure." }, { "left": "issue:1101", "right": "issue:725", "accept": false, - "reason": "Scheduler feature request vs memory/loading device-map improvement; not the same underlying change." + "reason": "Scheduler feature request and memory-loading feature request are not the same underlying change." }, { "left": "issue:10202", "right": "issue:11109", "accept": false, - "reason": "Both mention LoRA, but one is unload/cleanup of Flux Control LoRA and the other is a transformer layer mismatch in depth LoRA." + "reason": "Both mention LoRA, but one is unloading Flux Control LoRA correctly and the other is a depth LoRA layer mismatch." }, { "left": "issue:10010", "right": "issue:11412", "accept": false, - "reason": "Both are 404/model resolution problems, but for different models and paths; not the same concrete bug." + "reason": "Both are 404s, but they reference different model URLs/repos and different missing artifacts." }, { "left": "issue:6242", "right": "issue:8320", "accept": false, - "reason": "Unrelated: request for training logs vs a from_single_file __name__ attribute error." + "reason": "One asks for training logs; the other is a from_single_file attribute error. No shared bug." }, { "left": "issue:9424", "right": "issue:9902", "accept": false, - "reason": "Notebook regression vs conda version pinning/stuck version; different issue types and code paths." + "reason": "Notebook regression and conda version pinning are unrelated." }, { "left": "issue:11088", "right": "issue:11709", "accept": false, - "reason": "Different loading bugs: wan2.1 GGUF deserialize/load error vs CausVid LoRA key mismatch in diffusers." + "reason": "Different model-loading failures: wan2.1 GGUF deserialization vs CausVid LoRA key mismatch." }, { "left": "issue:12110", "right": "issue:13477", "accept": false, - "reason": "Unrelated runtime bugs: UNet1DModel GaussianFourier init vs ErnieImage callback locals() scope." + "reason": "UNet1DModel initialization bug and ErnieImage callback scope bug are unrelated code paths." }, { "left": "issue:12071", "right": "issue:9516", "accept": false, - "reason": "Both touch FLUX transformer behavior, but one is a forward-behavior change and the other is missing joint_attention_kwargs propagation." + "reason": "Both involve Flux, but one reports changed transformer forward behavior while the other is missing joint_attention_kwargs plumbing." }, { "left": "issue:2210", "right": "issue:3944", "accept": false, - "reason": "Different LoRA requests: training the text encoder vs customizing LoRA network rank." + "reason": "Both are LoRA-related, but one requests text-encoder training and the other requests customizable rank." }, { "left": "issue:1672", "right": "issue:1677", "accept": false, - "reason": "Wrong output size after ckpt-to-diffusers conversion vs calling a pipeline with the wrong data type." + "reason": "Image-size regression after ckpt conversion is unrelated to a wrong argument type when calling the pipeline." }, { "left": "issue:1934", "right": "issue:3441", "accept": false, - "reason": "Different performance issues: cpu_offload VRAM usage vs higher VRAM use with PyTorch 2 without xformers." + "reason": "Both are memory-related, but they describe different causes and settings: cpu_offload VRAM vs PyTorch 2 VRAM usage." }, { "left": "issue:2392", "right": "issue:4349", "accept": false, - "reason": "Similar prompt_embeds theme, but different pipelines and failure modes; not the same concrete code path." + "reason": "Similar API surface, but different failures in different pipelines: prompt_embeds validation vs missing text_encoder in upscale." }, { "left": "issue:10165", "right": "issue:9930", "accept": false, - "reason": "LoRA seed preservation on scale changes vs PAG adaptive scale bug; unrelated behavior." + "reason": "Seed preservation on LoRA scale change is unrelated to PAG adaptive scale behavior." }, { "left": "issue:3073", "right": "issue:7219", "accept": false, - "reason": "Both are feature requests, but for different models/capabilities (Consistency models vs SUPIR upscaler)." + "reason": "Separate feature requests for different model families: consistency models vs SUPIR upscaler." }, { "left": "issue:4005", "right": "issue:6423", "accept": false, - "reason": "Inpaint aspect-ratio bug vs inability to reproduce fill50k results; different problems." + "reason": "Inpaint aspect-ratio bug and inability to reproduce fill50k results are not the same issue." }, { "left": "issue:11283", "right": "issue:11779", "accept": false, - "reason": "Wan model-loading/deserialization error vs Wan VACE mask padding bug; different code paths." + "reason": "Both are Wan-related, but one is header deserialization and the other is incorrect mask padding in VACE." }, { "left": "issue:10428", "right": "issue:12653", "accept": false, - "reason": "Different backend-specific issues: Flux inference on Ascend NPU vs PRX rope float64 dtype on MPS/NPU." + "reason": "Hardware/backend issues in different layers: Ascend NPU inference error vs float64 rope reference breaking MPS/NPU." }, { "left": "issue:4871", "right": "issue:5171", "accept": false, - "reason": "How to use from_single_file vs an unexpected safety_checker constructor keyword; unrelated." + "reason": "A from_single_file usage question is unrelated to an unexpected safety_checker constructor argument error." }, { "left": "issue:9026", "right": "issue:9293", "accept": false, - "reason": "Different dependency/loading failures: unexpected force_hook arg vs missing Float8 storage object." + "reason": "Different dependency/runtime failures: an unexpected force_hook kwarg vs missing Float8 storage object." }, { "left": "issue:4631", "right": "issue:5002", "accept": false, - "reason": "Scheduler-related, but one is a runtime scalar conversion bug and the other is a missing constructor argument." + "reason": "Both mention Karras/scheduler behavior, but one is a runtime scalar conversion bug and the other is a missing API argument in different schedulers." }, { "left": "issue:1185", "right": "issue:4331", "accept": false, - "reason": "Reproducibility complaint vs differing results between dreambooth and dreambooth_lora; not the same bug." - }, - { - "left": "issue:5593", - "right": "issue:7569", - "accept": false, - "reason": "AutoPipeline.from_pipe ControlNet failure vs a Mac-specific FreeU test failure; unrelated." + "reason": "Dreambooth reproducibility concerns are broader and different from inconsistent results between two training scripts." } ] }, @@ -59102,7 +58967,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10057", "issue:10302", @@ -59111,30 +58976,29 @@ "issue:10672", "issue:10873", "issue:11137", + "issue:11275", "issue:1158", + "issue:11584", "issue:12239", - "issue:12359", "issue:12458", - "issue:12575", "issue:1263", "issue:12695", + "issue:13176", "issue:13191", "issue:13277", + "issue:13506", "issue:1524", - "issue:2737", "issue:305", - "issue:3064", "issue:3537", - "issue:3585", "issue:3884", "issue:4002", "issue:4005", "issue:4061", "issue:4354", - "issue:5079", "issue:5328", "issue:5371", "issue:5390", + "issue:5593", "issue:6055", "issue:6079", "issue:6132", @@ -59143,6 +59007,7 @@ "issue:7210", "issue:7219", "issue:7389", + "issue:7569", "issue:7751", "issue:8323", "issue:8594", @@ -59154,9 +59019,11 @@ "issue:9768" ], "soft_pairs": [ + "issue:5593|issue:7569", "issue:9731|issue:9768", "issue:6132|issue:7219", "issue:10057|issue:10873", + "issue:11275|issue:11584", "issue:1158|issue:1524", "issue:10302|issue:8989", "issue:6079|issue:7389", @@ -59171,186 +59038,184 @@ "issue:12458|issue:13277", "issue:6055|issue:7210", "issue:4061|issue:5328", + "issue:13176|issue:13506", "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:10672|issue:12695" ], - "prepared_review_unit_hash": "a1b39e5f822da0e96758700e321d06fc10c9800353e863637d71d3264c465a8a", + "prepared_review_unit_hash": "2713251b1df94444da94cca216d583309bdd43e2cff21d98c4e1f9927735c130", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33650, - "estimated_input_tokens": 8413, - "estimated_eval_tokens": 17082 + "serialized_chars": 33656, + "estimated_input_tokens": 8414, + "estimated_eval_tokens": 17084 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is heterogeneous; the soft pairs share only broad theme words (LoRA, SDXL, batching, offloading, pipelines) but not the same concrete bug/change. I would not merge any of the suggested pairs as duplicates.", - "confidence": 0.67, - "canonical_issue_reason": "Issue 4002 is the clearest concrete bug report in the set: a specific missing `from_single_file` method on `StableDiffusionInpaintPipeline`, with an actionable code path and minimal ambiguity.", + "summary": "This cluster is not a tight duplicate set; it mixes unrelated pipeline bugs, dtype/load failures, feature requests, and test/infrastructure issues. Most soft edges are only superficially similar by model family or shared keywords, not the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole set; if one must be picked, issue:7389 is the broadest representative of the recurring pipeline-load/from_single_file failure theme, but the cluster is too heterogeneous for a strong canonical choice.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 4002 is also the best representative issue overall because it is precise, reproducible, and tied to a single implementation gap rather than a broad feature request or vague runtime symptom.", + "best_issue_reason": "Issue:7389 is the best of a weak set because it is a concrete, user-facing pipeline error and closest to the broadest repeated theme here (loading/dtype/runtime failures).", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:7569", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and a Mac FreeU test failure are unrelated code paths and symptoms." + }, { "left": "issue:9731", "right": "issue:9768", "accept": false, - "reason": "Different problems: a training/how-to question for Playground2.5 vs a torch/CuDNN SDPA NaN runtime error." + "reason": "Training guidance for Playground2.5 and a torch/CuDNN SDPA NaN runtime bug are different problems." }, { "left": "issue:6132", "right": "issue:7219", "accept": false, - "reason": "Unrelated changes: adding loadable-class support vs requesting a SUPIR upscaler feature." + "reason": "A loadable-classes proposal and a SUPIR upscaler feature request are not the same change." }, { "left": "issue:10057", "right": "issue:10873", "accept": false, - "reason": "Both mention pipeline loading, but the concrete bugs differ: Flux `from_single_file` token handling vs a Sana checkpoint-specific pipeline issue." + "reason": "FluxTransformer2DModel token handling in from_single_file and a SanaPipeline issue are distinct model-specific bugs." + }, + { + "left": "issue:11275", + "right": "issue:11584", + "accept": false, + "reason": "VAE NoneType addition error and torch.compile/group offloading incompatibility are different failures." }, { "left": "issue:1158", "right": "issue:1524", "accept": false, - "reason": "Test interference in `test_config.py` is unrelated to poor-textual-inversion training quality." + "reason": "Test interference in pytest config and poor textual inversion training quality are unrelated." }, { "left": "issue:10302", "right": "issue:8989", "accept": false, - "reason": "Different failures: FP8 inference noise without CPU offload vs sequential offloading bug in Stable Audio." + "reason": "FP8 inference noise without CPU offloading and sequential offloading issues are separate optimization bugs." }, { "left": "issue:6079", "right": "issue:7389", "accept": false, - "reason": "A generic half/float type mismatch is not the same as an SDXL `from_single_file` loading error." + "reason": "Both are load/dtype-flavored errors, but one is a Half-vs-Float mismatch and the other is a from_single_file pipeline error; not the same concrete bug." }, { "left": "issue:7751", "right": "issue:8939", "accept": false, - "reason": "Conversion-script errors are unrelated to tokenizer-loading failures for a specific SD3 model." + "reason": "Animatediff conversion errors and tokenizer loading OSError are unrelated." }, { "left": "issue:10590", "right": "issue:11137", "accept": false, - "reason": "Both are dtype-related, but they concern different pipelines and different failure modes (`bfloat16` tiled VAE decode vs dtype mismatch in Latte)." + "reason": "Sana tiled VAE BF16 decode failure and Latte dtype mismatch are different pipelines and error sites." }, { "left": "issue:12239", "right": "issue:13191", "accept": false, - "reason": "Both are feature requests, but for different models and capabilities: InfiniteTalk support vs Elastic-DiT support." + "reason": "InfiniteTalk support and Elastic-DiT support are separate feature requests, not one mergeable change." }, { "left": "issue:1263", "right": "issue:305", "accept": false, - "reason": "A specific missing `StableDiffusionSafetyChecker` import is not the same as a generic `ImportError from diffusers`." + "reason": "A missing StableDiffusionSafetyChecker import and a generic diffusers import error have different root causes." }, { "left": "issue:3537", "right": "issue:6141", "accept": false, - "reason": "ControlNet conversion tooling is unrelated to adding `control_mode`/`resize_mode` parameters." + "reason": "A ControlNet conversion script and extra ControlNet parameters are different features." }, { "left": "issue:5371", "right": "issue:6331", "accept": false, - "reason": "Both involve inpainting, but one asks for BLIP inpainting support while the other asks for SAG inpainting behavior." + "reason": "BLIP inpainting support and SAG for inpainting are distinct feature requests." }, { "left": "issue:8323", "right": "issue:9111", "accept": false, - "reason": "Scheduler file recognition and a missing `scheduler` attribute are different code-path problems." + "reason": "Scheduler file recognition and a missing scheduler attribute on BitDiffusion are not the same bug." }, { "left": "issue:10542", "right": "issue:8850", "accept": false, - "reason": "Hunyuan batch-size breakage is unrelated to a community-pipelines mirror issue." + "reason": "Hunyuan batch-size regression and community pipeline mirror breakage are unrelated." }, { "left": "issue:12458", "right": "issue:13277", "accept": false, - "reason": "Both mention Qwen and batch input, but one is a broad feature/request issue while the other is a specific Ulysses-SP batch failure in a different pipeline." + "reason": "Both mention Qwen image batch behavior, but one is a batch inference feature/issue and the other is a specific Ulysses SP runtime failure; not the same concrete fix." }, { "left": "issue:6055", "right": "issue:7210", "accept": false, - "reason": "A generic accelerate error is not the same as the concrete `named_parameters` attribute failure on `StableDiffusionXLPipeline`." + "reason": "Accelerate-related errors and missing named_parameters on StableDiffusionXLPipeline are different integration issues." }, { "left": "issue:4061", "right": "issue:5328", "accept": false, - "reason": "Both involve LoRA, but one is an SDXL load error and the other is a broader Civitai LoRA regression report." + "reason": "SDXL LoRA loading error and general Civitai LoRA failures are too broad and not shown to be the same bug." + }, + { + "left": "issue:13176", + "right": "issue:13506", + "accept": false, + "reason": "UNet attention error and sage attention ring-attention failure are different attention implementations/problems." }, { "left": "issue:3884", "right": "issue:8594", "accept": false, - "reason": "Different training scripts and different bugs: text-to-image LoRA training error vs `tokenizer_one` unbound in SD3 DreamBooth LoRA." + "reason": "train_text_to_image_lora.py error and tokenizer_one UnboundLocalError are distinct training script bugs." }, { "left": "issue:4002", "right": "issue:4005", "accept": false, - "reason": "Both are inpaint-related, but one is missing `from_single_file` support and the other is aspect-ratio preservation." + "reason": "Missing from_single_file support and inpaint aspect-ratio behavior are unrelated." }, { "left": "issue:4354", "right": "issue:5390", "accept": false, - "reason": "Both are SDXL loading issues, but one is a wrong return type from `from_single_file` and the other is unintended text-encoder download with `local_files_only=True`." + "reason": "Pipeline type mismatch from from_single_file and unwanted text-encoder download with local_files_only are different issues." }, { "left": "issue:10672", "right": "issue:12695", "accept": false, - "reason": "A callback API request for some pipelines is unrelated to adding Hunyuan v1.5 support." - }, - { - "left": "issue:12359", - "right": "issue:12575", - "accept": false, - "reason": "A Chroma docs bug about `guidance_scale` is unrelated to an attention-backend check causing an error." - }, - { - "left": "issue:2737", - "right": "issue:5079", - "accept": false, - "reason": "CLIP guidance support for a scheduler is unrelated to loading Lyrocis via `load_lora_weights`." - }, - { - "left": "issue:3064", - "right": "issue:3585", - "accept": false, - "reason": "Both mention LoRA, but one is about loading `.safetensors` LoRA files and the other is about a model that synthesizes LoRA into SD1.5 failing." + "reason": "callback_on_step_end support and Hunyuan v1.5 support are separate feature requests." } ] }, @@ -59372,7 +59237,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10111", "issue:10302", @@ -59382,15 +59247,17 @@ "issue:11033", "issue:12022", "issue:12085", + "issue:12359", + "issue:12575", "issue:12605", "issue:13104", - "issue:1962", - "issue:2202", "issue:2364", "issue:2392", + "issue:2737", "issue:2769", + "issue:3064", "issue:3580", - "issue:3817", + "issue:3585", "issue:4014", "issue:4043", "issue:4122", @@ -59398,7 +59265,7 @@ "issue:4496", "issue:4646", "issue:5028", - "issue:5168", + "issue:5079", "issue:5233", "issue:5433", "issue:5465", @@ -59408,7 +59275,6 @@ "issue:6497", "issue:7056", "issue:7408", - "issue:7600", "issue:843", "issue:8535", "issue:8593", @@ -59423,6 +59289,9 @@ "issue:9936" ], "soft_pairs": [ + "issue:12359|issue:12575", + "issue:2737|issue:5079", + "issue:3064|issue:3585", "issue:4496|issue:843", "issue:4646|issue:8604", "issue:5465|issue:9001", @@ -59444,189 +59313,186 @@ "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:6497|issue:7408" ], - "prepared_review_unit_hash": "cd9fec9a0e2567a05b8d8e4ab68301383c62d48e7f4f6af3a472f7c119f51db2", + "prepared_review_unit_hash": "8451a17120db01b1a01760c9a461f275faff27aa1c85b6e8480accceac0a67a2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 33298, - "estimated_input_tokens": 8325, - "estimated_eval_tokens": 16906 + "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 is not a true duplicate cluster: it mixes many unrelated issues across Flux, SDXL, training scripts, attention backends, GGUF loading, and even feature requests. All soft pairs look like title-similarity false positives, so they should be kept separate. If one issue must anchor the Flux subgroup, #9063 is the clearest concrete report.", - "confidence": 0.91, - "canonical_issue_reason": "#9063 is the most concrete, actionable FluxPipeline bug report in the set; it has a specific failure mode and is better suited as an anchor than the broader or more generic Flux-related reports.", + "summary": "The soft pairs are mostly broad thematic matches at best, but not true duplicates: they span different models, pipelines, training scripts, and failure modes. I would reject all soft edges and treat this as a heterogeneous set rather than one dedupe cluster.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "#9063 is the best global issue candidate because it is specific, reproducible, and centered on a single code path. That said, it should not absorb the other unrelated issues in this cluster.", + "best_issue_reason": "issue:10674 is the closest representative only because it is a concrete FluxPipeline runtime/loading bug, but the overall set is too heterogeneous to have a real canonical issue.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12359", + "right": "issue:12575", + "accept": false, + "reason": "One is a Chroma docs bug about guidance_scale; the other is a Chroma attention-backend runtime error. Different problem and fix." + }, + { + "left": "issue:2737", + "right": "issue:5079", + "accept": false, + "reason": "Scheduler CLIP guidance support and LoRA loading support are unrelated features/issues." + }, + { + "left": "issue:3064", + "right": "issue:3585", + "accept": false, + "reason": "Both mention LoRA, but one is about loading .safetensors LoRAs and the other about a synthesized LoRA model failing. Different bug paths." + }, { "left": "issue:4496", "right": "issue:843", "accept": false, - "reason": "Prompt fusion feature discussion vs prompt syntax documentation; related wording only, not the same bug/change." + "reason": "Prompt fusion feature request is unrelated to prompt syntax documentation." }, { "left": "issue:4646", "right": "issue:8604", "accept": false, - "reason": "ControlNet ONNX conversion failure vs T5 float16 corruption during image generation; different pipelines and root causes." + "reason": "ControlNet ONNX conversion failure vs T5 fp16 corruption are different code paths and failure modes." }, { "left": "issue:5465", "right": "issue:9001", "accept": false, - "reason": "DiffEdit inpaint_strength limitation vs Auraflow aspect-ratio handling; unrelated pipeline behaviors." + "reason": "DiffEdit inpaint_strength behavior and Auraflow aspect ratio handling are unrelated." }, { "left": "issue:12605", "right": "issue:9904", "accept": false, - "reason": "Attention-mask handling in dispatch_attention_fn vs Flux image-shape rounding; different concrete defects." + "reason": "Attention-mask backend bug and Flux image-shape rounding are distinct issues." }, { "left": "issue:10111", "right": "issue:10591", "accept": false, - "reason": "Generic Flux pipeline bug report vs SD3 LoRA training script issue; different models and code paths." + "reason": "Both are general bug reports, but FLUX pipeline bugs and SD3 LoRA training-script bugs are not the same underlying issue." }, { "left": "issue:10302", "right": "issue:9514", "accept": false, - "reason": "FP8 inference noise without CPU offloading vs LoRA weight loading after fp8 quantization; both Flux/fp8-adjacent but distinct failures." + "reason": "FP8 inference noise without CPU offloading is not the same as LoRA loading after FP8 quantization." }, { "left": "issue:5540", "right": "issue:9170", "accept": false, - "reason": "General OOM report vs SDXL+ControlNet memory requirement question; not the same bug." + "reason": "Both are memory-related, but generic OOM and a specific SDXL+ControlNet memory requirement report are not duplicates." }, { "left": "issue:6486", "right": "issue:8708", "accept": false, - "reason": "DreamBooth embedding retraction bug vs missing shift_factor in SD3 training examples; unrelated training issues." + "reason": "Dreambooth embedding retraction bug and missing SD3 shift_factor in examples are unrelated training issues." }, { "left": "issue:8535", "right": "issue:8593", "accept": false, - "reason": "xformers attention enablement on SD3 vs BF16 noise on CPU; different symptom and fix scope." + "reason": "xFormers attention enablement and bfloat16 CPU noise are different SD3 problems." }, { "left": "issue:10674", "right": "issue:12085", "accept": false, - "reason": "FluxPipeline GGUF loading vs WanVACETransformer3DModel GGUF loading; same file format, different models and code paths." + "reason": "Both involve GGUF loading, but they affect different model classes and likely different loader paths; too broad to merge as one bug." }, { "left": "issue:4122", "right": "issue:5233", "accept": false, - "reason": "Scheduler timestep count mismatch vs callback step value bug; both mention steps but they are different mechanisms." + "reason": "Timesteps mismatch in SDXL pipelines and callback step-value bug are related only at a very high level." }, { "left": "issue:9063", "right": "issue:9904", "accept": false, - "reason": "Tokenizer instantiation failure vs silent image-shape rounding; different FluxPipeline bugs." + "reason": "Tokenizer instantiation failure and image-shape rounding are unrelated FluxPipeline issues." }, { "left": "issue:2364", "right": "issue:5951", "accept": false, - "reason": "Unable to run a training script vs Pixart training issue; too broad and not the same underlying problem." + "reason": "Unable to run training script is far too vague and does not match the PixArt training issue specifically." }, { "left": "issue:9163", "right": "issue:9936", "accept": false, - "reason": "Tensor bugs in train_dreambooth_lora_flux.py vs NCCL timeout in multigpu ControlNet Flux training; different failure modes." + "reason": "Both are Flux training issues, but tensor bugs and NCCL timeout in multigpu training are not the same concrete failure." }, { "left": "issue:11033", "right": "issue:13104", "accept": false, - "reason": "SD1.5 from_single_file loading bug vs undefined logger; unrelated." + "reason": "SD1.5 from_single_file loading failure and a logger-not-defined error are unrelated." }, { "left": "issue:10315", "right": "issue:7056", "accept": false, - "reason": "CogVideo training error vs SDXL LoRA fine-tuning train_text_encoder error; different scripts and model families." + "reason": "CogVideo training error and SDXL LoRA fine-tuning/train_text_encoder error are different models and code paths." }, { "left": "issue:12022", "right": "issue:12605", "accept": false, - "reason": "FlashAttention-3 interface incompatibility vs attn_mask being ignored in some backends; both attention-related but not the same defect." + "reason": "Latest flash-attention interface incompatibility and attn_mask being ignored are separate attention backend bugs." }, { "left": "issue:4014", "right": "issue:5433", "accept": false, - "reason": "Watermark artifact issue vs DPM++/SDXL artifact issue; similar visual symptom, different root cause." + "reason": "Both mention image artifacts, but watermark artifacts and DPM++/no-refiner artifacts are different causes." }, { "left": "issue:2769", "right": "issue:4453", "accept": false, - "reason": "Round-trip model conversion corruption vs SDXL LoRA conversion for AUTO1111; different conversion paths." + "reason": "Round-tripping ckpt/safetensors conversion and converting SDXL LoRA to safetensors are different workflows." }, { "left": "issue:3580", "right": "issue:5028", "accept": false, - "reason": "xFormers TypeError vs SDXL ReferencePipeline scale-kwarg error; unrelated bugs despite both being TypeErrors." + "reason": "XFormers TypeError and hacked DownBlock scale-arg TypeError are different runtime errors." }, { "left": "issue:2392", "right": "issue:4043", "accept": false, - "reason": "Img2Img prompt_embeds validation bug vs SDXL pooled prompt embed requirement; related area but not the same bug." + "reason": "Img2Img prompt_embeds validation and SDXL pooled_prompt_embeds requirement are related API areas but not the same bug." }, { "left": "issue:6497", "right": "issue:7408", "accept": false, - "reason": "DragNUWA model/pipeline request vs FRESCO pipeline request; different features." - }, - { - "left": "issue:1962", - "right": "issue:3817", - "accept": false, - "reason": "Video generation with stable diffusion vs editable dance generation from music; different projects and goals." - }, - { - "left": "issue:2202", - "right": "issue:5168", - "accept": false, - "reason": "OpenVINO support question vs ControlNet-XS support request; both feature-oriented but unrelated." - }, - { - "left": "issue:6486", - "right": "issue:7600", - "accept": false, - "reason": "DreamBooth embedding retraction bug vs missing accelerator.accumulate on text_encoder; different training bugs." + "reason": "DragNUWA and FRESCO are unrelated pipeline/model issues." } ] }, @@ -59648,7 +59514,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10147", @@ -59661,11 +59527,12 @@ "issue:12239", "issue:13191", "issue:1358", - "issue:1405", - "issue:2340", + "issue:1962", + "issue:2202", "issue:2440", "issue:2905", "issue:3040", + "issue:3817", "issue:4061", "issue:4471", "issue:4736", @@ -59673,33 +59540,35 @@ "issue:5002", "issue:5043", "issue:5162", + "issue:5168", "issue:5256", "issue:5285", "issue:5325", "issue:539", - "issue:5395", "issue:5515", "issue:6094", - "issue:6333", + "issue:6486", "issue:660", "issue:6749", "issue:6774", "issue:6906", "issue:7300", "issue:7311", + "issue:7600", "issue:7611", "issue:7970", "issue:8323", "issue:8410", "issue:8588", - "issue:8744", "issue:8894", - "issue:8939", "issue:9210", "issue:9293", "issue:9420" ], "soft_pairs": [ + "issue:1962|issue:3817", + "issue:2202|issue:5168", + "issue:6486|issue:7600", "issue:7300|issue:7970", "issue:4736|issue:9210", "issue:1101|issue:5256", @@ -59720,183 +59589,180 @@ "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:6749|issue:6906" ], - "prepared_review_unit_hash": "b6c0d07ef1a14e8519662af5441399c4c459c916e6fc86381930f93e045e4780", + "prepared_review_unit_hash": "ce327b187f9c4d94f93e81a7f855bacf08eb825f789c9fcf21fa48edbfc9eeff", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33689, - "estimated_input_tokens": 8423, - "estimated_eval_tokens": 17102 + "serialized_chars": 33300, + "estimated_input_tokens": 8325, + "estimated_eval_tokens": 16906 }, "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 actually unrelated feature requests and bug reports. The soft edges are driven by broad wording like \"support\", \"load\", or \"error\", but the underlying code paths, models, and failure modes differ too much to treat any pair as duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "issue:11581 is the most concrete and actionable report in the set: it names an exact FLUX/IP-Adapter loading failure, includes the specific TypeError, and points to a clear code-path mismatch. If this cluster needs a representative issue, this is the strongest candidate.", - "canonical_pr_reason": "No pull requests are present in the provided items.", - "best_issue_reason": "issue:11581 has the clearest reproducible bug description and the narrowest technical scope, making it the best issue candidate for triage and reference.", - "best_pr_reason": "No pull requests are present in the provided items.", + "summary": "This cluster is not a true duplicate set: it mixes unrelated feature requests, training/runtime bugs, and documentation/support items across many different pipelines and model families. All soft edges are false positives.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits the cluster because the items are semantically diverse and do not describe the same underlying bug or feature request.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must stand in as a loose representative, issue 10147 is the broadest current open feature request, but it still does not cover the rest of the cluster well.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1962", + "right": "issue:3817", + "accept": false, + "reason": "Generic video generation with Stable Diffusion vs editable dance generation from music; different use cases and code paths." + }, + { + "left": "issue:2202", + "right": "issue:5168", + "accept": false, + "reason": "OpenVINO pipeline support and ControlNet-XS support are separate subsystem/model feature requests." + }, + { + "left": "issue:6486", + "right": "issue:7600", + "accept": false, + "reason": "Double embedding retraction in DreamBooth advanced vs not applying accelerator.accumulate in text_encoder; distinct training bugs." + }, { "left": "issue:7300", "right": "issue:7970", "accept": false, - "reason": "Both involve memory behavior in diffusion pipelines, but one is about set_default_attn_processor() causing high GPU memory while the other is about enable_model_cpu_offload increasing RAM usage; different mechanisms and fixes." + "reason": "Both mention memory, but one is about set_default_attn_processor() behavior and the other is CPU offload RAM growth; different bugs." }, { "left": "issue:4736", "right": "issue:9210", "accept": false, - "reason": "Both mention training/data issues, but one is a CUDA OOM/invalid cast problem in an SDXL LoRA training script and the other is a CLI validation error for image_column; not the same bug." + "reason": "Train LoRA OOM/invalid-cast failure vs dataset image_column validation error; unrelated failure modes." }, { "left": "issue:1101", "right": "issue:5256", "accept": false, - "reason": "These are different scheduler/training feature requests: DPM-Solver scheduler support versus Insta-Flow training support. Same broad area, different implementation targets." + "reason": "Scheduler feature addition vs Insta-Flow training support; separate changes." }, { "left": "issue:4061", "right": "issue:4471", "accept": false, - "reason": "Both are LoRA-loading problems, but they affect different pipelines and error modes: SDXL load lora error versus StableDiffusionXLImg2ImgPipeline can't load lora_weight." + "reason": "Both are SDXL LoRA load problems, but they target different pipeline APIs and specific load failures." }, { "left": "issue:5002", "right": "issue:539", "accept": false, - "reason": "These are unrelated API/version issues: missing use_karras_sigmas on specific schedulers versus snapshot_download lacking allow_patterns." + "reason": "Missing scheduler arguments vs snapshot_download allow_patterns keyword error; unrelated API compatibility issues." }, { "left": "issue:5515", "right": "issue:8323", "accept": false, - "reason": "One is an LCM pipeline initialization bug without a scheduler; the other is a scheduler file recognition problem. They do not describe the same code-path failure." + "reason": "LCM pipeline initialization failure without scheduler vs scheduler file recognition error; different underlying problems." }, { "left": "issue:2440", "right": "issue:660", "accept": false, - "reason": "Both are dtype-related load issues, but one is inpainting model float16 loading and the other is MPS fp16 revision usage; different platforms and failure surfaces." + "reason": "Inpainting float16 load error vs MPS fp16 revision behavior; different environments and failure causes." }, { "left": "issue:3040", "right": "issue:6094", "accept": false, - "reason": "These are separate doc/runtime breakages: a copied-docs list/__module__ AttributeError versus TextToVideoZeroPipeline breaking after a diffusers update." + "reason": "Doc copy-paste AttributeError vs TextToVideoZero regression after a version update; unrelated issues." }, { "left": "issue:4752", "right": "issue:5325", "accept": false, - "reason": "Different classes of bugs: an SDXL mixed-precision input/bias type mismatch versus packaging/type-information distribution. No shared underlying change." + "reason": "SDXL dtype mismatch in pipeline code vs packaging type information distribution; no shared bug." }, { "left": "issue:11581", "right": "issue:9293", "accept": false, - "reason": "Both are load/runtime errors, but 11581 is an IP-Adapter/CLIPVision init dtype argument issue in FLUX while 9293 is a missing Float8 storage backend. Not the same failure." + "reason": "FLUX IP-Adapter dtype init error vs missing Float8 storage object; both dtype-related but different components and code paths." }, { "left": "issue:7311", "right": "issue:8894", "accept": false, - "reason": "Both are training-script problems, but one is checkpoint saving in train_text_to_image_sdxl.py and the other is an unrelated error in train_cm_ct_unconditional.py." + "reason": "Checkpoint save failure in train_text_to_image_sdxl.py vs a separate training script error after a new commit." }, { "left": "issue:6774", "right": "issue:7611", "accept": false, - "reason": "Both report tensor/precision mismatches, but one is an AttentionProcessor dtype issue with xformers and the other is a tensor size mismatch in unet2dconditional." + "reason": "AttentionProcessor mixed-precision mismatch vs UNet tensor size mismatch; distinct runtime errors." }, { "left": "issue:10100", "right": "issue:8410", "accept": false, - "reason": "These are distinct feature requests for different model families: ConsisID support versus native TextDiffuser pipeline support." + "reason": "ConsisID support and native TextDiffuser support are different model integrations." }, { "left": "issue:10147", "right": "issue:12239", "accept": false, - "reason": "Both are multi-view/video-generation feature requests, but MV-Adapter support and InfiniteTalk support refer to different models and integrations." + "reason": "MV-Adapter multi-view generation vs InfiniteTalk support; separate feature requests." }, { "left": "issue:1037", "right": "issue:2905", "accept": false, - "reason": "A community pipeline request for Stable Diffusion Telephone is unrelated to adding Karras sigmas across schedulers." + "reason": "Community pipeline for Stable Diffusion Telephone vs Karras sigmas scheduler support; unrelated additions." }, { "left": "issue:10512", "right": "issue:9420", "accept": false, - "reason": "Both concern model loading after LoRA/quantization changes, but one is a Quanto Flux LoRA load failure and the other is a transformer model saved after FLUX+Hyper-SD LoRA. Different artifacts and root causes." + "reason": "Quanto Flux LoRA load failure vs transformer load failure after FLUX+Hyper-SD save; related to FLUX, but different concrete bugs." }, { "left": "issue:11005", "right": "issue:8588", "accept": false, - "reason": "One is a minor doc/default mismatch in pipeline_wan_i2v.py; the other is a missing SD3 conversion script. Not the same issue." + "reason": "Docstring/default mismatch in pipeline_wan_i2v.py vs missing SD3 conversion script; unrelated." }, { "left": "issue:12221", "right": "issue:13191", "accept": false, - "reason": "These are separate community support requests for different architectures: DiffSynth ControlNet versus Elastic-DiT." + "reason": "DiffSynth ControlNet support vs Elastic-DiT support; different model support requests." }, { "left": "issue:1358", "right": "issue:5162", "accept": false, - "reason": "One requests safetensors support; the other requests a checkpoint-to-safetensors conversion script. Related theme, but not the same change." + "reason": "Safetensors support in the library vs a conversion script to safetensors; related topic, but not the same issue." }, { "left": "issue:5043", "right": "issue:5285", "accept": false, - "reason": "A W\u00fcrstchen LoRA finetuning request and a Japanese docs translation request are completely unrelated." + "reason": "W\u00fcrstchen LoRA finetuning vs Japanese docs translation; entirely different scopes." }, { "left": "issue:6749", "right": "issue:6906", "accept": false, - "reason": "Both mention LoRA usage, but one is about reproducing results with the InstantID community example and the other is a broken LoRA dreambooth example. Different pipelines and symptoms." - }, - { - "left": "issue:5395", - "right": "issue:6333", - "accept": false, - "reason": "These are different PEFT-related requests: combining civitai loras versus finetuning a pre-trained LoRA. Similar domain, not the same bug or change." - }, - { - "left": "issue:1405", - "right": "issue:2340", - "accept": false, - "reason": "Both involve pipeline behavior, but attention slicing on main and safety-checker failures in a tiny SD test pipeline are unrelated." - }, - { - "left": "issue:8744", - "right": "issue:8939", - "accept": false, - "reason": "These are separate training/loading issues: load-from-single-file for advanced training versus tokenizer loading for SD3 medium. Different failure points and fixes." + "reason": "InstantID community example reproducibility vs broken LoRA DreamBooth example; different examples and failures." } ] }, @@ -59918,11 +59784,8 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10178", - "issue:10350", - "issue:10382", "issue:10412", "issue:10636", "issue:10672", @@ -59930,17 +59793,17 @@ "issue:11555", "issue:11839", "issue:12107", - "issue:12108", "issue:1214", "issue:12470", "issue:12505", - "issue:12575", "issue:13067", + "issue:1405", "issue:1655", "issue:1791", "issue:1801", "issue:1896", "issue:1949", + "issue:2340", "issue:2392", "issue:2466", "issue:2728", @@ -59952,24 +59815,30 @@ "issue:4534", "issue:457", "issue:5368", + "issue:5395", "issue:541", "issue:5502", "issue:5595", "issue:6094", + "issue:6333", "issue:6363", "issue:6452", "issue:646", - "issue:6570", "issue:7606", "issue:8373", "issue:8482", "issue:851", "issue:8552", "issue:8604", + "issue:8744", "issue:8780", + "issue:8939", "issue:9799" ], "soft_pairs": [ + "issue:5395|issue:6333", + "issue:1405|issue:2340", + "issue:8744|issue:8939", "issue:10412|issue:11225", "issue:1791|issue:457", "issue:1896|issue:2392", @@ -59990,183 +59859,180 @@ "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:11555|issue:12505" ], - "prepared_review_unit_hash": "fc019c1c503581c77483fbbc8db9808ce29a5b34741ab46bf5845febc4c42c7a", + "prepared_review_unit_hash": "8a4af21d276fa053c960aa9898d16d18803a9c841864d78335b9d3240e6e33a8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33851, - "estimated_input_tokens": 8463, - "estimated_eval_tokens": 17182 + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the items span unrelated bug reports, feature requests, memory/dtype problems, and example/script issues. None of the soft-similarity edges look like true duplicates or the same fix/change.", - "confidence": 0.98, - "canonical_issue_reason": "No single canonical issue stands out: the reports cover many different subsystems and failure modes, so picking one would misrepresent the cluster.", + "summary": "These items are mostly a heterogeneous set of unrelated bugs/features across different pipelines and training paths. I don\u2019t see any soft pair that clearly describes the same underlying issue, so all soft edges should be rejected.", + "confidence": 0.79, + "canonical_issue_reason": "There is no strong duplicate cluster here; if one issue must be used as an anchor, issue 10412 is the most detailed and self-contained report, but it does not subsume the others.", "canonical_pr_reason": null, - "best_issue_reason": "No issue is a strong global representative; the set is too diverse to anchor on one bug or feature.", + "best_issue_reason": "Issue 10412 is the strongest standalone issue in the set because it has the clearest problem statement and most context; the rest are mostly unrelated or too broad to serve as a better canonical anchor.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5395", + "right": "issue:6333", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one is about combining civitai LoRAs and the other about finetuning a pretrained LoRA; different problems and code paths." + }, + { + "left": "issue:1405", + "right": "issue:2340", + "accept": false, + "reason": "Attention slicing regression and a safety-checker failure are unrelated bugs; same project area, not the same issue." + }, + { + "left": "issue:8744", + "right": "issue:8939", + "accept": false, + "reason": "Loading from single-file training support and a tokenizer-loading error for SD3 are different failures." + }, { "left": "issue:10412", "right": "issue:11225", "accept": false, - "reason": "Both mention high VRAM, but one is DreamBooth training on SD3.5-Large and the other is a validation OOM in an SD3 ControlNet example; different workflows and likely different causes." + "reason": "Both are OOM reports, but they concern different training examples, models, and triggering steps." }, { "left": "issue:1791", "right": "issue:457", "accept": false, - "reason": "Both involve Mac/MPS, but one is UnCLIPPipeline unsupported on MPS and the other is blue artifacts during inference; not the same underlying bug." + "reason": "Both mention MPS, but one is UnCLIP unsupported on Mac/MPS and the other is image artifact corruption; not the same bug." }, { "left": "issue:1896", "right": "issue:2392", "accept": false, - "reason": "Different code paths: CLIP-guided diffusion with a dict/size error versus img2img with prompt_embeds and a NoneType prompt check." + "reason": "Different runtime errors in different pipelines: one is a size/type error in CLIP-guided SD, the other is prompt_embeds validation in img2img." }, { "left": "issue:3799", "right": "issue:8373", "accept": false, - "reason": "One is a typing/inference issue in from_pretrained, the other is an incorrect-format error message; unrelated." + "reason": "Type inference for `from_pretrained` and an incorrect error message are unrelated." }, { "left": "issue:5595", "right": "issue:6363", "accept": false, - "reason": "Input dimension divisibility and FP16 gradient unscaling are different failures in different parts of training/inference." + "reason": "One is an image-size divisibility validation error; the other is an fp16 gradient unscale failure during LoRA training." }, { "left": "issue:6094", "right": "issue:8552", "accept": false, - "reason": "A regression after a version update in TextToVideoZeroPipeline is not the same as a segmentation fault in TextToVideoZero inference." + "reason": "Both involve TextToVideoZeroPipeline, but one is a version regression and the other is a segmentation fault during inference; too different to merge." }, { "left": "issue:1655", "right": "issue:3767", "accept": false, - "reason": "Pipeline initialization failure versus FrozenDict mutability are distinct bugs with no clear shared code-path." + "reason": "Pipeline initialization failure and FrozenDict mutability semantics are unrelated." }, { "left": "issue:4492", "right": "issue:4534", "accept": false, - "reason": "A Python NameError for lowercase false is unrelated to an MPS validation crash in SDXL dreambooth." + "reason": "A JSON/boolean NameError and an SDXL DreamBooth MPS validation crash are different bugs." }, { "left": "issue:11839", "right": "issue:12107", "accept": false, - "reason": "GGUF load/input-size problems in FluxKontextPipeline are unrelated to accelerator.init_trackers failing on a custom list object." + "reason": "GGUF loading for FluxKontextPipeline and `accelerator.init_trackers` with custom objects are unrelated." }, { "left": "issue:1949", "right": "issue:2466", "accept": false, - "reason": "Training tutorial errors and checkpoint limiting behavior are different example-script issues." + "reason": "DreamBooth tutorial training errors and checkpoint limit enforcement are different example-script issues." }, { "left": "issue:10672", "right": "issue:8482", "accept": false, - "reason": "One is a request for callback_on_step_end support, the other is support for a new model; not the same bug or change." + "reason": "Callback support for pipelines and SD3-medium model support are not the same change or bug." }, { "left": "issue:12470", "right": "issue:13067", "accept": false, - "reason": "Quantizer API additions and feature support for Anima are unrelated requests." + "reason": "Quantizer API additions and adding Anima model support are unrelated feature requests." }, { "left": "issue:1801", "right": "issue:646", "accept": false, - "reason": "getattr attribute-type error and missing set_format on PNDMScheduler are different API problems." + "reason": "`getattr` misuse and a missing `set_format` method on PNDMScheduler are different attribute errors." }, { "left": "issue:3698", "right": "issue:541", "accept": false, - "reason": "Converting an inpainting model to diffusers and Diffusers on SageMaker are unrelated feature requests." + "reason": "Converting an inpainting model and running Diffusers on SageMaker are unrelated requests." }, { "left": "issue:5368", "right": "issue:5502", "accept": false, - "reason": "Both mention fp16, but one is a Q/K/V dtype mismatch and the other is custom diffusion fp16 training support; not the same concrete bug." + "reason": "Both mention fp16, but one is a dtype mismatch in attention and the other is lack of fp16 support in a training script." }, { "left": "issue:6452", "right": "issue:8780", "accept": false, - "reason": "Masked image latents support and a general model/input dtype mismatch are different issues." + "reason": "Adding masked image latents to ControlNet inpaint and a generic model/input dtype mismatch are not the same issue." }, { "left": "issue:10636", "right": "issue:8604", "accept": false, - "reason": "A bug in value_guided_sampling.py is unrelated to corrupted images from converting the T5 encoder to float16." + "reason": "A bug in `value_guided_sampling.py` and corrupted output from converting the T5 encoder to float16 are unrelated." }, { "left": "issue:1214", "right": "issue:851", "accept": false, - "reason": "Both are half-precision-related, but one is CLIPTextModel-specific while the other is a generic dtype Float vs Half error; too broad to treat as the same fix." + "reason": "Both are half-precision/dtype complaints, but the reports are too vague and likely stem from different code paths to treat as duplicates." }, { "left": "issue:2728", "right": "issue:2947", "accept": false, - "reason": "Loading safetensors in from_pretrained and missing load_attn_procs are separate model-loading/API issues." + "reason": "Cannot load safetensors in `from_pretrained` and missing `load_attn_procs` are distinct model-loading/API issues." }, { "left": "issue:7606", "right": "issue:9799", "accept": false, - "reason": "A deprecation in a LoRA processor is unrelated to a tensor size mismatch at runtime." + "reason": "A deprecated LoRA processor in Kandinsky 2.2 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 not the same code-path problem." - }, - { - "left": "issue:12108", - "right": "issue:12575", - "accept": false, - "reason": "A flow-matching scheduler issue in Qwen Image/Chroma is unrelated to attention backend checks causing errors." - }, - { - "left": "issue:10350", - "right": "issue:10382", - "accept": false, - "reason": "Both involve VAE components, but one is decoder memory consumption and the other is an encoder return-type mismatch; different bugs and fixes." - }, - { - "left": "issue:10178", - "right": "issue:6570", - "accept": false, - "reason": "Both are dimension-mismatch errors, but they occur in different pipelines/modules and do not appear to share a single root cause." + "reason": "`device_map=\"auto\"` support and a tgate error in img2img pipelines are different topics." } ] }, @@ -60188,9 +60054,12 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", + "issue:10178", + "issue:10350", + "issue:10382", "issue:10512", "issue:10887", "issue:10896", @@ -60200,14 +60069,12 @@ "issue:11687", "issue:11779", "issue:11922", - "issue:1197", - "issue:1205", - "issue:12060", + "issue:12108", + "issue:12575", "issue:12624", "issue:12738", "issue:13277", "issue:1358", - "issue:1440", "issue:2195", "issue:2266", "issue:2838", @@ -60216,7 +60083,6 @@ "issue:4014", "issue:4269", "issue:4406", - "issue:459", "issue:4790", "issue:5538", "issue:5628", @@ -60226,6 +60092,7 @@ "issue:6016", "issue:6374", "issue:6513", + "issue:6570", "issue:6866", "issue:7267", "issue:7640", @@ -60235,11 +60102,13 @@ "issue:8939", "issue:8968", "issue:9101", - "issue:9599", "issue:9680", "issue:9690" ], "soft_pairs": [ + "issue:12108|issue:12575", + "issue:10350|issue:10382", + "issue:10178|issue:6570", "issue:10887|issue:11569", "issue:11687|issue:12624", "issue:5849|issue:6374", @@ -60260,190 +60129,190 @@ "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:10512|issue:9690" ], - "prepared_review_unit_hash": "fe0ab7861d9b25d961761aa78afda9928bd996a9f1d462d3311c6045ed26fa42", + "prepared_review_unit_hash": "e3a9ff55bc6ae657bc6cf82d94f64eede679eda4ff85755b879a8425caefa803", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33928, - "estimated_input_tokens": 8482, - "estimated_eval_tokens": 17220 + "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": "This cluster is not a single duplicate set: the items span many unrelated bugs, feature requests, and docs/support topics. None of the soft-paired issues are close enough to be the same underlying problem.", - "confidence": 0.96, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous: feature requests, unrelated pipeline bugs, and a few load/shape/runtime errors. There is no cluster-wide duplicate set; the only clear duplicate-looking pair is the safetensors HeaderTooLarge LoRA reports.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue cleanly represents the whole cluster because the items span many unrelated bugs/features. If one issue must be chosen, issue:4406 is the best canonical for the only true duplicate pair because it states the exact safetensors HeaderTooLarge failure most explicitly.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:4406 is the strongest issue candidate: it is concrete, specific, and matches another near-identical report (issue:3960) about the same LoRA safetensors HeaderTooLarge error.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12108", + "right": "issue:12575", + "accept": false, + "reason": "Different failures in Chroma/Qwen image pipelines: flow-matching scheduler behavior vs attention-backend checks." + }, + { + "left": "issue:10350", + "right": "issue:10382", + "accept": false, + "reason": "Both are VAE-related, but one is decoder memory use and the other is an encoder return-type AttributeError." + }, + { + "left": "issue:10178", + "right": "issue:6570", + "accept": false, + "reason": "Different tensor-shape bugs in different modules/models; only superficial size-mismatch similarity." + }, { "left": "issue:10887", "right": "issue:11569", "accept": false, - "reason": "Both mention loading/fine-tuning flow, but one is a missing StableDiffusionXLTrainer import and the other is a request for a specific Diffusers repo/model; different failure modes and targets." + "reason": "Import error for StableDiffusionXLTrainer vs a feature request for a model repo; unrelated." }, { "left": "issue:11687", "right": "issue:12624", "accept": false, - "reason": "Both are framework-related, but one is a docs request to add pruna and the other asks for a new pipeline argument; unrelated change types." + "reason": "Docs/framework addition request vs a new pipeline parameter request; not the same bug or change." }, { "left": "issue:5849", "right": "issue:6374", "accept": false, - "reason": "Both are LoRA training/loading related, but one is a Python entrypoint TypeError and the other is a Chinese report about loading a fine-tuned LoRA weight; not the same bug." + "reason": "Training-script argparse TypeError vs LoRA weight loading question; different code paths and symptoms." }, { "left": "issue:1358", "right": "issue:2838", "accept": false, - "reason": "Generic support requests for different features: safetensors support vs a controlnet pipeline behavior request." + "reason": "Generic safetensors support request vs a ControlNet pipeline feature request; unrelated." }, { "left": "issue:7267", "right": "issue:9680", "accept": false, - "reason": "Both are generation/training issues in diffusion pipelines, but one is broken local data loading in train_controlnet.py and the other is SDXL unconditional generation; different code paths." + "reason": "Broken local data loading in train_controlnet.py vs SDXL unconditional generation bug; different problems." }, { "left": "issue:4790", "right": "issue:6016", "accept": false, - "reason": "Both involve conversion scripts, but one is an incompatibility between two conversion directions and the other is a torch.Size() issue in one converter; distinct defects." + "reason": "Both involve conversion utilities, but one is round-trip file compatibility and the other is a torch.Size formatting/error case." }, { "left": "issue:10986", "right": "issue:11779", "accept": false, - "reason": "Different bugs: MPS complex tensor conversion in a transformer pipeline versus incorrect mask padding in Wan VACE." + "reason": "MPS complex-dtype conversion error in transformer pipeline vs incorrect mask padding in Wan VACE; different pipelines and bugs." }, { "left": "issue:7936", "right": "issue:8968", "accept": false, - "reason": "Both relate to safetensors loading, but one is a local file invalid JSON format error and the other is a pipelines loading issue; too broad to treat as the same bug." + "reason": "Invalid JSON/header parsing for a local safetensors file vs general pipeline safetensors loading support." }, { "left": "issue:2195", "right": "issue:2883", "accept": false, - "reason": "Different feature requests: Tune-A-Video versus an image-to-video pipeline." + "reason": "Both are video-related feature requests, but they target different pipeline additions and are not the same change." }, { "left": "issue:2266", "right": "issue:4269", "accept": false, - "reason": "Both concern pipeline performance/input handling, but one is sequential CPU offload slowdown and the other is a TypeError from default args in ControlNet input checks." + "reason": "Sequential CPU offload slowdown vs ControlNet input-validation TypeError; different concrete issues." }, { "left": "issue:5538", "right": "issue:5731", "accept": false, - "reason": "Different SDXL implementation concerns: upscale pipeline latent usage vs missing trainable logvar scalar in AutoencoderKL decoder." + "reason": "Upscale pipeline latent-usage question vs missing trainable logvar in AutoencoderKL decoder; unrelated code paths." }, { "left": "issue:8624", "right": "issue:8939", "accept": false, - "reason": "Both report load/runtime errors around Stable Diffusion 3, but one is a fused layer norm undefined symbol and the other is a tokenizer loading problem; unrelated root causes." + "reason": "Undefined CUDA symbol in Stable Diffusion 3 setup vs tokenizer-loading OSError; different runtime failures." }, { "left": "issue:12738", "right": "issue:13277", "accept": false, - "reason": "Both are batch-size-related pipeline failures, but ZImagePipeline assertion failure and QwenImagePipeline Ulysses SP batch-input failure are different code paths." + "reason": "Both mention batching, but one is ZImage batch-size assertion and the other is QwenImage Ulysses SP batch handling." }, { "left": "issue:4014", "right": "issue:5824", "accept": false, - "reason": "Both mention SDXL artifacts/default behavior, but one is a watermark pixel artifact issue and the other is an incorrect default text_encoder_projection_dim in get_add_time_ids()." + "reason": "SDXL watermark artifacts vs incorrect text_encoder_projection_dim default; unrelated bugs." }, { "left": "issue:5628", "right": "issue:7640", "accept": false, - "reason": "Both involve SDXL/denoising dimensions, but one is LMS scheduler Karras sigma offset behavior and the other is from_single_file dimension runtime errors." + "reason": "Scheduler denoising range offset vs from_single_file dimension runtime error; different root causes." }, { "left": "issue:10100", "right": "issue:10896", "accept": false, - "reason": "Different model support requests: ConsisID versus SkyReels-A1." + "reason": "Two different model-support requests (ConsisID vs SkyReels-A1); not the same feature." }, { "left": "issue:10954", "right": "issue:11922", "accept": false, - "reason": "Both are FLUX-related load/run problems, but one is a ComfyUI-compatible LoRA load failure and the other is a FLUX.1-Fill-dev runtime problem; not enough evidence of the same bug." + "reason": "FLUX LoRA loading failure vs FLUX.1-Fill-dev runtime problem; same family name but different concrete bugs." }, { "left": "issue:6513", "right": "issue:6866", "accept": false, - "reason": "Both are adapter/pipeline support requests, but one asks for T2IAdapter model support and the other for IP-Adapter support in an inpaint pipeline." + "reason": "Different adapter integrations: T2IAdapter model support vs IP-Adapter support for SDXL ControlNet inpaint." }, { "left": "issue:8577", "right": "issue:9101", "accept": false, - "reason": "Different SD3 topics: differential diffusion support versus an InstructPix2Pix training script request." + "reason": "Differential diffusion feature for SD3 vs an InstructPix2Pix training script for SD3; different work items." }, { "left": "issue:3960", "right": "issue:4406", - "accept": false, - "reason": "Both mention safetensors header errors, but one is specifically a LoRA header-too-large load error and the other is a general safetensor deserialization error; too ambiguous to merge." + "accept": true, + "reason": "Both report the same safetensors HeaderTooLarge problem while loading a LoRA; 4406 is the clearer description." }, { "left": "issue:10512", "right": "issue:9690", "accept": false, - "reason": "One is a LoRA load bug for Quanto Flux; the other is a FLUX.1-dev FP8 example cleanup request. Different problem classes." - }, - { - "left": "issue:1197", - "right": "issue:459", - "accept": false, - "reason": "Both are community feature ideas around diffusion, but OpenAI Diffusion Pipeline and Incremental Diffusion are separate proposals." - }, - { - "left": "issue:1205", - "right": "issue:1440", - "accept": false, - "reason": "Different utilities entirely: converting SD models to ONNX versus deleting cached models." - }, - { - "left": "issue:12060", - "right": "issue:9599", - "accept": false, - "reason": "One asks where a DiT block is defined; the other asks for a LoRA-only finetune example for FLUX.1. Different requests and code areas." + "reason": "LoRA loading failure in Flux/Quanto vs FP8 example-code cleanup; unrelated." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative. The one accepted soft-edge pair, issue:3960 and issue:4406, is supported by the matching safetensors HeaderTooLarge LoRA reports. The remaining pair verdicts are appropriately non-committal/negative given the evidence. No overstatement detected." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -60458,20 +60327,20 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10054", "issue:10336", "issue:10542", "issue:10639", - "issue:11352", "issue:11519", "issue:1181", + "issue:1197", + "issue:1205", + "issue:12060", "issue:12239", - "issue:12504", - "issue:12606", "issue:13430", "issue:1350", + "issue:1440", "issue:1594", "issue:193", "issue:1962", @@ -60481,12 +60350,12 @@ "issue:318", "issue:3325", "issue:3444", - "issue:3623", "issue:3698", "issue:3891", "issue:3975", "issue:4014", "issue:4232", + "issue:459", "issue:4674", "issue:4788", "issue:4949", @@ -60497,7 +60366,6 @@ "issue:5886", "issue:5960", "issue:6136", - "issue:671", "issue:6935", "issue:7569", "issue:7661", @@ -60507,9 +60375,13 @@ "issue:8723", "issue:9101", "issue:9450", + "issue:9599", "issue:9680" ], "soft_pairs": [ + "issue:1197|issue:459", + "issue:1205|issue:1440", + "issue:12060|issue:9599", "issue:193|issue:3975", "issue:4674|issue:4788", "issue:8504|issue:9101", @@ -60530,183 +60402,180 @@ "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:10336|issue:9450" ], - "prepared_review_unit_hash": "f0077f5a6870a9b42b2a4da7f1bc53f72fb00ff4449f6608b89889c97a3b6fd7", + "prepared_review_unit_hash": "cb1ccf974fcd160bf941fb2d7d55ac5fcdf55ccb9febcffd67704bf1b56c5532", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33288, - "estimated_input_tokens": 8322, - "estimated_eval_tokens": 16900 + "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": "All suggested soft edges are false positives: the paired issues mostly share only broad subsystem/model keywords, but they describe different bugs, features, or pipelines. No PRs are present.", - "confidence": 0.95, + "summary": "This cluster is heterogeneous: it mixes unrelated model-support requests, training/inference feature asks, and distinct bug reports across many different pipelines. The soft pairs are mostly only superficially similar by wording and should all be rejected as duplicates.", + "confidence": 0.97, "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:10054 is the strongest standalone bug report here: a narrow, concrete scheduler/test-path problem with a clear reproduction target.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1197", + "right": "issue:459", + "accept": false, + "reason": "Different requests: OpenAI Diffusion Pipeline vs Incremental Diffusion. Similar theme, not the same feature or bug." + }, + { + "left": "issue:1205", + "right": "issue:1440", + "accept": false, + "reason": "ONNX conversion request and deleting cached models are unrelated." + }, + { + "left": "issue:12060", + "right": "issue:9599", + "accept": false, + "reason": "A question about DiT blocks 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. a typo in an error message; different failure classes." + "reason": "Generic pipeline error report vs a typo in an error message; different problems." }, { "left": "issue:4674", "right": "issue:4788", "accept": false, - "reason": "Memory leak when changing dimensions vs. SDXL inpaint OOM; related to memory but not the same bug." + "reason": "Memory leak when changing width/height is distinct from SDXL inpaint OOM on 6 GB VRAM." }, { "left": "issue:8504", "right": "issue:9101", "accept": false, - "reason": "Text-encoder selection for SD3-Medium vs. an InstructPix2Pix training script request; different feature work." + "reason": "Selecting text encoders for SD3 training and an InstructPix2Pix SD3 training script are separate feature requests." }, { "left": "issue:10639", "right": "issue:12239", "accept": false, - "reason": "Support requests for two different models (Lumina-Image 2.0 vs InfiniteTalk)." + "reason": "Support for Lumina-Image 2.0 and support for InfiniteTalk are different model integrations." }, { "left": "issue:10542", "right": "issue:9680", "accept": false, - "reason": "Hunyuan Video batch-size regression vs. SDXL unconditional generation bug; different models and code paths." + "reason": "Hunyuan Video batch-size regression is unrelated to SDXL unconditional generation being broken." }, { "left": "issue:11519", "right": "issue:13430", "accept": false, - "reason": "Two unrelated model-support requests (MAGI-1 vs JoyAI-Image-Edit)." + "reason": "Support requests for MAGI-1 and JoyAI-Image-Edit target different models." }, { "left": "issue:1181", "right": "issue:3698", "accept": false, - "reason": "Training-from-scratch request vs. converting an inpainting model to diffusers; not the same underlying change." + "reason": "Training from scratch is not the same as converting an inpainting model to diffusers." }, { "left": "issue:2210", "right": "issue:5160", "accept": false, - "reason": "Both training-related, but one asks to train the text encoder and the other asks for masking support." + "reason": "LoRA text-encoder training and Dreambooth/LoRA masking are different training features." }, { "left": "issue:2332", "right": "issue:4232", "accept": false, - "reason": "Dreambooth inference error vs. instruct-pix2pix training/inference code; different scripts and issues." + "reason": "Dreambooth inference error vs instruct-pix2pix ControlNet training/inference; not the same bug." }, { "left": "issue:4964", "right": "issue:7782", "accept": false, - "reason": "SDXL conversion work vs. a safetensors unpickling error; unrelated conversion failures." + "reason": "SDXL model conversion and safetensors conversion failure are unrelated." }, { "left": "issue:1350", "right": "issue:3087", "accept": false, - "reason": "DiffusionDet support vs. LyCORIS model support; unrelated model integrations." + "reason": "DiffusionDet object detection support and LyCORIS/LoCon/LoHA support are different domains." }, { "left": "issue:1594", "right": "issue:4949", "accept": false, - "reason": "Both video-related, but one is img2img for video generation and the other is ProPainter in/outpainting." + "reason": "Video img2img generation and ProPainter in/outpainting are not the same change." }, { "left": "issue:1962", "right": "issue:3444", "accept": false, - "reason": "Video generation feature request vs. audio-to-image integration; different modalities and goals." + "reason": "Video generation with stable diffusion is unrelated to audio-to-image integration with ImageBind." }, { "left": "issue:318", "right": "issue:3891", "accept": false, - "reason": "Two TTS support requests, but for different models and pipelines (Grad-TTS vs Tortoise)." + "reason": "Grad-TTS and Tortoise TTS are separate TTS pipeline requests." }, { "left": "issue:5687", "right": "issue:5710", "accept": false, - "reason": "Both mention sigmas/schedulers, but one is duplicate timesteps in img2img and the other is missing self.sigmas initialization." + "reason": "One is a low-strength img2img timestep bug; the other is a scheduler initialization bug. Different code paths." }, { "left": "issue:6935", "right": "issue:7882", "accept": false, - "reason": "IP-Adapter face ID support vs. t2i-adapter from_single_file support; distinct adapter features." + "reason": "IP-Adapter face ID support and missing from_single_file on T2I-Adapter are unrelated." }, { "left": "issue:3325", "right": "issue:5960", "accept": false, - "reason": "Different training/runtime failures: CUDA invalid argument in dreambooth vs. invalid cast warning in ControlNet SDXL training." + "reason": "Dreambooth CUDA invalid argument and SDXL ControlNet NaN/uint8 cast warning are different failures." }, { "left": "issue:4014", "right": "issue:8723", "accept": false, - "reason": "SDXL watermark artifact bug vs. SD3ControlNet initialization error; unrelated code paths." + "reason": "Watermark pixel artifacts in SDXL are unrelated to SD3ControlNetModel initialization errors." }, { "left": "issue:6136", "right": "issue:7569", "accept": false, - "reason": "StableDiffusionPipeline NaNs on Mac CPU vs. a Mac-only FreeU test failure; not the same defect." + "reason": "SD2.1 NaNs on Mac and a FreeU test failure on Mac are not the same issue." }, { "left": "issue:5886", "right": "issue:7661", "accept": false, - "reason": "Both involve IP-Adapter, but one is face-model support and the other is AnimateDiff pipeline integration." + "reason": "IP-Adapter face model support and enabling animate diff with IP-Adapter are distinct feature requests." }, { "left": "issue:10336", "right": "issue:9450", "accept": false, - "reason": "Sana activation/clamping issue vs. Flux multi-GPU device mismatch; completely different bugs." - }, - { - "left": "issue:3623", - "right": "issue:671", - "accept": false, - "reason": "Loading larger models vs. converted-model fidelity differences; different problems." - }, - { - "left": "issue:10054", - "right": "issue:12606", - "accept": false, - "reason": "Scheduler torch.linspace parameter bug vs. wrong import in a conversion script; unrelated." - }, - { - "left": "issue:11352", - "right": "issue:12504", - "accept": false, - "reason": "Quantized-model CPU warning omission vs. FreeU ComplexHalf warning; both warnings, but not the same issue." + "reason": "Sana activation clamping and Flux multi-GPU device mismatch are different bugs in different models." } ] }, @@ -60728,20 +60597,20 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10054", "issue:10210", - "issue:10336", "issue:10513", - "issue:10514", "issue:10650", "issue:10800", "issue:10932", "issue:10962", "issue:11006", - "issue:11148", + "issue:11352", "issue:12396", - "issue:1791", + "issue:12504", + "issue:12606", "issue:2203", "issue:2228", "issue:2364", @@ -60749,6 +60618,7 @@ "issue:3032", "issue:3085", "issue:319", + "issue:3623", "issue:3861", "issue:3973", "issue:4674", @@ -60765,9 +60635,9 @@ "issue:5889", "issue:5897", "issue:6028", + "issue:671", "issue:7232", "issue:730", - "issue:760", "issue:7611", "issue:7799", "issue:7991", @@ -60775,10 +60645,12 @@ "issue:938", "issue:9392", "issue:9485", - "issue:987", - "issue:9953" + "issue:987" ], "soft_pairs": [ + "issue:3623|issue:671", + "issue:10054|issue:12606", + "issue:11352|issue:12504", "issue:319|issue:938", "issue:5743|issue:5897", "issue:5372|issue:5824", @@ -60799,183 +60671,180 @@ "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:9392|issue:9485" ], - "prepared_review_unit_hash": "dbe6e6c8b6fc0dd3f54b053d9a739320215c6ec3c0bbf740f7d2fc35c5720acf", + "prepared_review_unit_hash": "a7b7b4a63d68d8dbe4096c6cf04d11861be708f7cb3f2b028c0ee62024f21410", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33468, - "estimated_input_tokens": 8367, - "estimated_eval_tokens": 16990 + "serialized_chars": 33386, + "estimated_input_tokens": 8347, + "estimated_eval_tokens": 16950 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly unrelated issue reports across different pipelines/models; the soft pairs are driven by superficial title similarity, not shared root causes. None of the candidate pairs should be merged as duplicates.", + "summary": "The soft links are mostly false positives: these issues span unrelated pipelines, scheduler behavior, quantization/offload, shape mismatches, and docs/training edge cases. No pair looks like the same underlying bug or change.", "confidence": 0.94, - "canonical_issue_reason": "Issue 11148 is the most concrete, self-contained bug report in the set, with a precise failure mode and clear affected code path; the rest are largely unrelated topics.", + "canonical_issue_reason": "issue:10210 is the most concrete and widely discussed user-facing bug report here, so it is the least arbitrary representative of this heterogeneous set.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 11148 is the strongest representative issue because it is specific, reproducible, and narrowly scoped compared with the broader or more ambiguous reports.", + "best_issue_reason": "As a cluster representative, issue:10210 is the strongest fit by specificity and discussion activity, but it should not be treated as a true duplicate anchor for the whole group.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3623", + "right": "issue:671", + "accept": false, + "reason": "Both are model loading/behavior complaints, but one is about large-model loading failures and the other about converted-model fidelity; different underlying problems." + }, + { + "left": "issue:10054", + "right": "issue:12606", + "accept": false, + "reason": "Scheduler test parameter bug vs wrong script import; unrelated code paths." + }, + { + "left": "issue:11352", + "right": "issue:12504", + "accept": false, + "reason": "CPU move warning for 8bit quantized pipelines vs freeU ComplexHalf warning; different functionality and failure modes." + }, { "left": "issue:319", "right": "issue:938", "accept": false, - "reason": "Different domains: image generation vs text-to-motion; no shared bug or code path." + "reason": "Completely different domains: VQ-Diffusion model request vs human motion diffusion model request." }, { "left": "issue:5743", "right": "issue:5897", "accept": false, - "reason": "Both are training-related, but one is latent consistency distillation and the other is LoRA device mismatch; unrelated failures." + "reason": "Training stuck at 0% versus device-mismatch in LoRA training; not the same bug." }, { "left": "issue:5372", "right": "issue:5824", "accept": false, - "reason": "One asks about safety_checker usage, the other is an SDXL add_time_ids default bug; different functionality." + "reason": "Both mention SDXL pipeline internals, but one asks how to use safety_checker and the other reports a bad default in get_add_time_ids()." }, { "left": "issue:2364", "right": "issue:4704", "accept": false, - "reason": "Generic training-script failure vs custom diffusion training failure; not the same underlying problem." + "reason": "Generic training-script failure vs Custom Diffusion training failure; too broad and no shared concrete failure mode." }, { "left": "issue:4674", "right": "issue:490", "accept": false, - "reason": "Memory leak on width/height changes vs broad memory issues; too vague and not the same bug." + "reason": "Memory leak when changing width/height across calls is not the same as general low-memory complaints." }, { "left": "issue:2228", "right": "issue:3861", "accept": false, - "reason": "Different API/loading questions with no clear shared code-path defect." + "reason": "Loading-to-GPU issue vs API naming question about from_pretrained; different underlying issue." }, { "left": "issue:4835", "right": "issue:8930", "accept": false, - "reason": "Both are ControlNet img2img issues, but one is MultiControlNet-specific and the other is pose adherence; distinct bugs." + "reason": "ControlNet img2img bug with MultiControlNetModel vs pose-control adherence issues; both about control images but not the same concrete defect." }, { "left": "issue:5889", "right": "issue:7232", "accept": false, - "reason": "Stable video diffusion project announcement/support request vs multimodal transformer support; not duplicates." + "reason": "Stable video diffusion feature request/announcement vs support for multimodal diffusion transformers; not duplicates." }, { "left": "issue:539", "right": "issue:987", "accept": false, - "reason": "Different unexpected-keyword-argument reports for different functions; not the same issue." + "reason": "Different unrelated TypeError reports from different APIs and pipelines." }, { "left": "issue:7611", "right": "issue:7799", "accept": false, - "reason": "Tensor size mismatch in UNet vs matmul mismatch with IP-Adapter; different tensor-shape failures." + "reason": "Shape mismatch in unet2dconditional vs matmul mismatch with IP-Adapter; both are tensor-shape errors but distinct code paths." }, { "left": "issue:3085", "right": "issue:3973", "accept": false, - "reason": "Cache-folder argument removal vs a checkpoint conversion keyword error; unrelated API breakages." + "reason": "Removed return_cache_folder argument vs unexpected vae_path keyword; both are parameter/API mismatches but not the same one." }, { "left": "issue:2947", "right": "issue:4692", "accept": false, - "reason": "Different attribute/memory complaints involving different models and code paths; not duplicates." + "reason": "Missing load_attn_procs attribute vs generic UNet memory concerns; unrelated defects." }, { "left": "issue:10650", "right": "issue:10962", "accept": false, - "reason": "Lumina reshape invalid-size error vs CogView4 prompt-embed shape issue; distinct shape bugs." + "reason": "Lumina reshape runtime error vs Cogview4 prompt-embed shape issues; similar symptom class only, not the same bug." }, { "left": "issue:10800", "right": "issue:10932", "accept": false, - "reason": "Quantization/offload dtype error vs torch.compile recompile-limit issue; different failure modes." + "reason": "Quantized model plus sequential CPU offload crash vs torch.compile recompile limit; different mechanisms and failures." }, { "left": "issue:10210", "right": "issue:11006", "accept": false, - "reason": "Img2img output copying the input vs broken video output with quantized transformer; not the same problem." + "reason": "FluxImg2Img output too similar to input is not the same as broken Wan 2.1 I2V output with a quantized transformer." }, { "left": "issue:5044", "right": "issue:6028", "accept": false, - "reason": "Kandinsky 2.2 load failure vs Kandinsky 3.0 OOM; different model generations and causes." + "reason": "Kandinsky 2.2 load failure vs Kandinsky 3.0 CUDA OOM; different models and different failure modes." }, { "left": "issue:2203", "right": "issue:730", "accept": false, - "reason": "Model download location question vs DreamBooth learning behavior; unrelated." + "reason": "DreamBooth download location question vs DreamBooth training quality issue; unrelated." }, { "left": "issue:10513", "right": "issue:12396", "accept": false, - "reason": "Colab FLUX Schnell runtime errors vs adapter delete/leaf-level errors; unrelated code paths." + "reason": "Colab FLUX errors vs leaf_level/delete_adapters errors; different subsystems and symptoms." }, { "left": "issue:3032", "right": "issue:3861", "accept": false, - "reason": "Missing class method on ControlNet img2img pipeline vs from_pretrained naming confusion; not the same bug." + "reason": "ControlNet class lacking from_pretrained vs generic Pipeline.from_pretrained question; not the same defect." }, { "left": "issue:4936", "right": "issue:7991", "accept": false, - "reason": "Dreambooth resume regression vs basic training tutorial bug; different training flows and symptoms." + "reason": "Dreambooth LoRA resume regression vs basic training tutorial bug; different workflows and root causes." }, { "left": "issue:9392", "right": "issue:9485", "accept": false, - "reason": "Scheduler SNR-shift feature request vs making scheduler components stay on GPU; related subsystem, but not the same change." - }, - { - "left": "issue:1791", - "right": "issue:760", - "accept": false, - "reason": "UnCLIP unsupported on MPS vs unexpected output on MPS; different pipeline behavior and likely different causes." - }, - { - "left": "issue:10336", - "right": "issue:10514", - "accept": false, - "reason": "Sana activation clamping/explosion vs Sana 4k resolution-binning sample_size mismatch; distinct issues." - }, - { - "left": "issue:11148", - "right": "issue:9953", - "accept": false, - "reason": "LoRA adapter state tracking bug vs moving a quantized component to CUDA; different adapter/quantization paths." + "reason": "Scheduler SNR shift design question vs request to move scheduler computation to GPU; related area but not the same underlying bug/change." } ] }, @@ -60997,37 +60866,36 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:10202", "issue:10334", + "issue:10336", "issue:10411", "issue:10490", + "issue:10514", "issue:10529", "issue:10596", "issue:10671", - "issue:10760", - "issue:10767", "issue:10817", "issue:1083", "issue:10873", - "issue:1101", "issue:11046", - "issue:1117", + "issue:11148", "issue:11886", + "issue:12052", "issue:12321", "issue:12459", - "issue:13034", + "issue:13506", + "issue:1791", "issue:2089", - "issue:3010", "issue:4210", "issue:4332", "issue:4534", "issue:4616", "issue:4631", "issue:5026", - "issue:5285", "issue:5545", "issue:5595", "issue:5646", @@ -61039,22 +60907,27 @@ "issue:6783", "issue:6794", "issue:6928", + "issue:760", "issue:7793", "issue:7842", "issue:834", - "issue:8410", "issue:8589", "issue:8612", "issue:8647", + "issue:9953", "issue:9972" ], "soft_pairs": [ + "issue:1791|issue:760", + "issue:10336|issue:10514", + "issue:11148|issue:9953", "issue:1083|issue:834", "issue:4616|issue:8647", "issue:11886|issue:12459", "issue:10411|issue:6518", "issue:10817|issue:8589", "issue:6091|issue:6222", + "issue:12052|issue:13506", "issue:7793|issue:7842", "issue:6783|issue:8612", "issue:5545|issue:5595", @@ -61068,184 +60941,180 @@ "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:10671|issue:10873" ], - "prepared_review_unit_hash": "8f8bb167011a1dc91262861c68e126841fdcb5e10c7b920d1200c3d4c5672eb2", + "prepared_review_unit_hash": "7970175382d9340fb6ae9f70e979d44f16ee44c36a8b8a0b16b43129a42ea43e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33554, - "estimated_input_tokens": 8389, - "estimated_eval_tokens": 17034 + "serialized_chars": 33866, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All proposed soft pairs look like false positives: they share broad model/pipeline themes at most, but the titles describe different bugs, features, or subsystems. No duplicate cluster is justified here.", - "confidence": 0.95, - "canonical_issue_reason": null, + "summary": "This cluster is heterogeneous: the soft-linked pairs share only broad vocabulary (pipeline names, schedulers, Mac/MPS, LoRA, etc.) but not the same underlying bug or change. No duplicate pairs should be merged.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because the issues cover unrelated bugs across different pipelines, schedulers, training scripts, and platforms.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "No best issue for deduplication: none of the items is a clear representative of the others, and the soft pairs are not same-root-cause duplicates.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:760", + "accept": false, + "reason": "Both mention MPS/Mac support, but they are different pipelines and different failures; not the same bug." + }, + { + "left": "issue:10336", + "right": "issue:10514", + "accept": false, + "reason": "Both are Sana-related, but one is activation explosion/clamping and the other is a resolution-binning/sample_size constraint; distinct root causes." + }, + { + "left": "issue:11148", + "right": "issue:9953", + "accept": false, + "reason": "PEFT adapter flag handling vs moving a quantized component to CUDA are separate code paths and failure modes." + }, { "left": "issue:1083", "right": "issue:834", "accept": false, - "reason": "Different problems: FP16 ONNX output correctness vs CPU underutilization. No shared failing code path." + "reason": "FP16 ONNX incorrect output and CPU underutilization are unrelated performance/accuracy issues." }, { "left": "issue:4616", "right": "issue:8647", "accept": false, - "reason": "Unrelated: SDXL LoRA conversion script issue vs ControlNet img2img NoneType error. Different components and symptoms." + "reason": "SDXL LoRA conversion and a ControlNet img2img NoneType error are different problems." }, { "left": "issue:11886", "right": "issue:12459", "accept": false, - "reason": "Both involve FLUX, but one is a pipeline issue and the other is a batch throughput regression. Not the same concrete bug." + "reason": "FluxKontextPipeline issue and FLUX.1-Kontext batch throughput are both Flux-related but one is a functional bug and the other is a performance concern." }, { "left": "issue:10411", "right": "issue:6518", "accept": false, - "reason": "Training script usage question vs a NoneType floor-division crash in a different distillation script. Not duplicates." + "reason": "Both involve training scripts, but the reported failures and scripts are different; not one concrete bug." }, { "left": "issue:10817", "right": "issue:8589", "accept": false, - "reason": "Different failures in different training features: missing SD3 control nets vs prior preservation in SD3 DreamBooth." + "reason": "Missing SD3 control nets in auto_pipeline is unrelated to SD3 DreamBooth prior-preservation support." }, { "left": "issue:6091", "right": "issue:6222", "accept": false, - "reason": "Both mention size/batch behavior, but one is Consistency Decoder memory usage and the other is DDPM batch-size dependency. Too broad to merge." + "reason": "Size-argument memory issue in Consistency Decoder and DDPM batch-size dependency are separate scheduler/model behaviors." + }, + { + "left": "issue:12052", + "right": "issue:13506", + "accept": false, + "reason": "Wan offloading device-mismatch failure and Sage attention ring-attention failure are distinct attention/offloading problems." }, { "left": "issue:7793", "right": "issue:7842", "accept": false, - "reason": "DeepFloyd LoRA unloading error vs stage-2 tensor size mismatch on non-divisible inputs. Distinct bugs." + "reason": "LoRA unloading error and DeepFloyd stage-2 size mismatch are different bugs in different workflows." }, { "left": "issue:6783", "right": "issue:8612", "accept": false, - "reason": "Different PixArt issues: bad generations vs mixed-precision incompatibility. Same model family, not same defect." + "reason": "PixArt generations messed up and mixed-precision incompatibility are different issues, even if both affect inference quality." }, { "left": "issue:5545", "right": "issue:5595", "accept": false, - "reason": "StableDiffusion inpaint problem vs explicit height/width divisibility validation error. Not the same issue." + "reason": "Generic inpaint pipeline problem vs height/width divisibility validation are not the same root cause." }, { "left": "issue:5646", "right": "issue:5689", "accept": false, - "reason": "Scheduler stability complaints on different models do not indicate one shared bug; symptoms and contexts differ." + "reason": "Scheduler instability on one model vs residual noise in SDXL images are related only by broad sampler context, not by a shared bug." }, { "left": "issue:4210", "right": "issue:4332", "accept": false, - "reason": "Attention_mask usage question vs xformers failure in Kandinsky 2.2. Different APIs and failure modes." + "reason": "Attention-mask usage in UNet and xformers support for Kandinsky 2.2 are unrelated changes/issues." }, { "left": "issue:4534", "right": "issue:4631", "accept": false, - "reason": "MPS validation crash in SDXL DreamBooth vs DPMSolverSinglestep scalar conversion error. Different code paths." + "reason": "MPS validation crash in SDXL DreamBooth and a Karras-sigma scalar conversion error are different scheduler/device failures." }, { "left": "issue:2089", "right": "issue:5951", "accept": false, - "reason": "DreamBooth CUDA OOM vs PixArt training issue. No concrete overlap beyond training." + "reason": "DreamBooth OOM on AltDiffusion and PixArt training are not the same issue." }, { "left": "issue:1013", "right": "issue:5026", "accept": false, - "reason": "StableDiffusionMegaPipeline compatibility vs a KeyError for text_encoder in a later release. Unrelated bugs." + "reason": "Different versioned pipeline regressions: StableDiffusionMegaPipeline compatibility vs a KeyError for text_encoder." }, { "left": "issue:10202", "right": "issue:11046", "accept": false, - "reason": "LoRA unloading bug in Flux Control vs a feature/inference composition request for Flux pipelines. Not duplicates." + "reason": "LoRA unload correctness and Flux pipeline inference composition are separate Flux bugs." }, { "left": "issue:10334", "right": "issue:9972", "accept": false, - "reason": "Sana MPS/CPU numerical failure vs CogX buffer allocation on macOS. Different products and failure mechanisms." + "reason": "Both are macOS-related, but one is Sana numerical corruption and the other is a CogX buffer-allocation failure." }, { "left": "issue:10490", "right": "issue:12321", "accept": false, - "reason": "Infinity support request is unrelated to HunyuanImage-2.1 support. Different feature requests." + "reason": "General Infinity support request and HunyuanImage-2.1 support are unrelated feature requests." }, { "left": "issue:10529", "right": "issue:6928", "accept": false, - "reason": "Scheduler timestep spacing option request vs depth-map colorization option request. Different features entirely." + "reason": "DDIMInverseScheduler timestep spacing and Marigold depthmap colorization are unrelated feature requests." }, { "left": "issue:10596", "right": "issue:6794", "accept": false, - "reason": "Invalid shape in FluxControlPipeline vs import error for cast_training_params. Different components and symptoms." + "reason": "FluxControlPipeline shape error and cast_training_params import error are different bugs in different areas." }, { "left": "issue:10671", "right": "issue:10873", "accept": false, - "reason": "Deterministic dtype/device issue in DiffusionPipeline vs a SanaPipeline model-specific issue. Not the same bug." - }, - { - "left": "issue:10760", - "right": "issue:13034", - "accept": false, - "reason": "ONNX import attribute missing vs WanPipeline height/width handling. Unrelated modules and errors." - }, - { - "left": "issue:10767", - "right": "issue:8410", - "accept": false, - "reason": "FlashVideo compatibility discussion vs native TextDiffuser support request. Different feature areas." - }, - { - "left": "issue:1101", - "right": "issue:5285", - "accept": false, - "reason": "Scheduler addition request vs Japanese docs translation. No overlap." - }, - { - "left": "issue:1117", - "right": "issue:3010", - "accept": false, - "reason": "Negative-prompt tests vs distributed multi-GPU docs. Unrelated changes." + "reason": "Deterministic dtype/device retrieval in DiffusionPipeline and SanaPipeline behavior are separate issues." } ] }, @@ -61267,8 +61136,12 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10760", + "issue:10767", + "issue:1101", + "issue:1117", "issue:11351", "issue:11352", "issue:11519", @@ -61279,6 +61152,7 @@ "issue:12645", "issue:12666", "issue:12754", + "issue:13034", "issue:1305", "issue:13191", "issue:13377", @@ -61297,27 +61171,27 @@ "issue:2866", "issue:2883", "issue:2972", - "issue:2984", + "issue:3010", "issue:3073", - "issue:3093", - "issue:3111", "issue:3159", - "issue:3817", "issue:3838", "issue:3843", "issue:4386", "issue:4390", - "issue:4630", - "issue:4912", + "issue:5285", "issue:5877", "issue:6928", - "issue:7264", "issue:7365", + "issue:8410", "issue:940", "issue:9471", "issue:9744" ], "soft_pairs": [ + "issue:10760|issue:13034", + "issue:10767|issue:8410", + "issue:1101|issue:5285", + "issue:1117|issue:3010", "issue:11351|issue:12666", "issue:11352|issue:12599", "issue:11519|issue:13191", @@ -61337,184 +61211,180 @@ "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:2972|issue:7365" ], - "prepared_review_unit_hash": "2164b3a309bed81b46571c8e98f31b3ab5399e51b7f4ff018db3b08f0d2de32f", + "prepared_review_unit_hash": "2ba797a0bc4b539409cf083cb29a971b8bdeb64ba5acd865a2f115cbf2df2450", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 32566, - "estimated_input_tokens": 8142, - "estimated_eval_tokens": 16540 + "serialized_chars": 33004, + "estimated_input_tokens": 8251, + "estimated_eval_tokens": 16758 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is heterogeneous: most items are unrelated model requests, docs/tasks, or distinct runtime bugs. None of the soft pairs looks like the same underlying bug/change, so all soft edges should be rejected. The only mild thematic overlap is around dtype conversion/pipeline loading, but still not enough to merge.", - "confidence": 0.84, - "canonical_issue_reason": "No single canonical issue cleanly spans this mixed cluster. If an anchor is needed, issue 12754 is the closest because it is the broadest open report about unintended float32 conversion, which is the only recurring technical theme with any overlap here.", + "summary": "All proposed soft-edge pairs are weakly similar at best and mostly unrelated; they span different bugs, features, docs, models, and pipelines. I would not merge any pair as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue stands out: this set is heterogeneous, with unrelated model-support requests, bugs, docs issues, and pipeline-specific regressions.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 12754 is the best global anchor among these items: it is open, well-referenced, and describes a broad pipeline dtype regression that could subsume the closest neighboring dtype-related report. The rest are either different bugs or plain feature requests.", + "best_issue_reason": "No global best issue candidate: none of these issues clearly subsumes the others or represents the same underlying problem across the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10760", + "right": "issue:13034", + "accept": false, + "reason": "Different failures in different pipelines: import-time missing attribute vs WanPipeline height/width handling." + }, + { + "left": "issue:10767", + "right": "issue:8410", + "accept": false, + "reason": "FlashVideo integration request is unrelated to native TextDiffuser pipeline support." + }, + { + "left": "issue:1101", + "right": "issue:5285", + "accept": false, + "reason": "Scheduler feature request and Japanese docs translation are unrelated." + }, + { + "left": "issue:1117", + "right": "issue:3010", + "accept": false, + "reason": "Negative-prompt tests and distributed inference docs address different areas." + }, { "left": "issue:11351", "right": "issue:12666", "accept": false, - "reason": "Different problems: float32 datatype behavior in a video processor vs missing pipeline support for Kandinsky 5.0 Video." + "reason": "Wan video processor dtype question is unrelated to Kandinsky 5.0 video pipeline availability." }, { "left": "issue:11352", "right": "issue:12599", "accept": false, - "reason": "Both mention device movement, but one is about an 8-bit quantized pipeline missing a CPU warning and the other is about slow CUDA transfer after loading; not the same bug." + "reason": "One is missing a warning on CPU move for 8-bit models; the other is slow CUDA transfer after loading." }, { "left": "issue:11519", "right": "issue:13191", "accept": false, - "reason": "Separate feature requests for different models (MAGI-1 vs Elastic-DiT); same broad category, but not the same change." + "reason": "Two separate model support requests (MAGI-1 vs Elastic-DiT) with no shared bug/change." }, { "left": "issue:12108", "right": "issue:12645", "accept": false, - "reason": "One is a scheduler/flow-matching breakage, the other is inference slowness; different symptoms and likely different code paths." + "reason": "Flow-matching scheduler breakage is a functional bug; the other is a speed comparison complaint." }, { "left": "issue:12338", "right": "issue:9471", "accept": false, - "reason": "Autoencoder slicing/decoding bug vs a file-extension/resource-type parsing error; unrelated failures." + "reason": "AutoencoderDC VAE slicing bug is unrelated to a file-extension/resource-type parsing error." }, { "left": "issue:12358", "right": "issue:9744", "accept": false, - "reason": "Both are model support requests, but for different video models and different pipelines." + "reason": "Different model support requests: Lumina-DiMOO vs Mochi video model." }, { "left": "issue:12754", "right": "issue:13377", "accept": false, - "reason": "12754 is about unintended float32 conversion in from_pipe; 13377 is about CFG being silently disabled with negative_prompt_embeds and mask handling." + "reason": "Both mention pipeline behavior, but one is float32 casting in from_pipe and the other is CFG suppression with negative_prompt_embeds." }, { "left": "issue:1305", "right": "issue:3073", "accept": false, - "reason": "Direct inversion image editing research request vs adding consistency models; unrelated model capabilities." + "reason": "Direct Inversion method request is unrelated to adding consistency models." }, { "left": "issue:1398", "right": "issue:940", "accept": false, - "reason": "Both involve MPS, but one is general SD2 support and the other is a scheduler-specific crash; too broad to treat as the same bug." + "reason": "Both touch MPS, but one is Stable Diffusion 2 support and the other is an LMSDiscreteScheduler crash." }, { "left": "issue:1530", "right": "issue:1919", "accept": false, - "reason": "Missing VQDiffusion embedding support vs a DreamBooth example dependency issue; different components and fixes." + "reason": "Missing VQDiffusion pipeline embedding field and missing DreamBooth requirements are unrelated." }, { "left": "issue:1541", "right": "issue:5877", "accept": false, - "reason": "Both touch DreamBooth-related workflows, but one is model type detection/loading and the other is subprocess errors; not the same underlying issue." + "reason": "Both involve DreamBooth, but one is CKPT/model-type detection and the other is subprocess failures in training scripts." }, { "left": "issue:202", "right": "issue:2377", "accept": false, - "reason": "Both are test-related, but they target different code areas (unet_blocks vs EMAModel)." + "reason": "Unet blocks tests and EMAModel tests are unrelated test additions." }, { "left": "issue:2250", "right": "issue:2603", "accept": false, - "reason": "DreamBooth prompt-generation failure vs non-square image handling in Attend-And-Excite; unrelated bugs." + "reason": "Different DreamBooth/Attend-And-Excite inference problems with different symptoms and code paths." }, { "left": "issue:2538", "right": "issue:6928", "accept": false, - "reason": "Different feature requests in different examples/pipelines; no shared code-path problem." + "reason": "Train-text-encoder option and Marigold depthmap colorization are separate feature requests." }, { "left": "issue:2550", "right": "issue:3843", "accept": false, - "reason": "ControlNet conversion issue vs a missing global_step key during model handling; unrelated failures." + "reason": "ControlNet model conversion and missing global_step key are different code-path issues." }, { "left": "issue:2674", "right": "issue:4390", "accept": false, - "reason": "One is a specific missing safetensors dependency problem; the other is a generic missing requirements report. Same theme, but not the same bug/change." + "reason": "A missing safetensors dependency in LoRA workflows is not the same as a generic missing requirements report." }, { "left": "issue:2761", "right": "issue:3159", "accept": false, - "reason": "Both are documentation-related, but one requests docs for a model argument and the other is a typo fix; different tasks." + "reason": "Documentation request for UNet1DModel and a typo fix in docs are different doc issues." }, { "left": "issue:2866", "right": "issue:4386", "accept": false, - "reason": "Both involve LoRA conversion, but one is about improving bin-to-safetensors conversion and the other is a general question about converting an SDXL safetensor LoRA; not clearly the same underlying fix." + "reason": "Both involve LoRA conversion, but one is bin-to-safetensors conversion and the other is an SDXL safetensor LoRA question." }, { "left": "issue:2883", "right": "issue:3838", "accept": false, - "reason": "Both are video-pipeline requests, but for different model families and likely different implementations." + "reason": "Image-to-video pipeline and Video Composer are broad feature requests, not the same concrete change." }, { "left": "issue:2972", "right": "issue:7365", "accept": false, - "reason": "Different prompt/loop logic bugs: one is a loop variable not resetting, the other overwrites pooled_prompt_embeds." - }, - { - "left": "issue:2984", - "right": "issue:3817", - "accept": false, - "reason": "Both are video-generation model requests, but they target different models and use cases." - }, - { - "left": "issue:3093", - "right": "issue:4630", - "accept": false, - "reason": "Direct noise modification question vs modifying LoRA weights after loading; not the same issue." - }, - { - "left": "issue:3111", - "right": "issue:4912", - "accept": false, - "reason": "Custom conditioning encoder request vs checkpoint conversion request; unrelated." - }, - { - "left": "issue:3111", - "right": "issue:7264", - "accept": false, - "reason": "Custom conditioning encoder request vs custom transformers model serialization/loading; different problem." + "reason": "The 0.01 adjustment-loop bug is unrelated to pooled_prompt_embeds being overwritten." } ] }, @@ -61536,8 +61406,11 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:2984", + "issue:3093", + "issue:3111", "issue:3113", "issue:3171", "issue:3221", @@ -61545,6 +61418,7 @@ "issue:3406", "issue:3444", "issue:3728", + "issue:3817", "issue:4052", "issue:4264", "issue:4311", @@ -61552,8 +61426,10 @@ "issue:4386", "issue:4524", "issue:459", + "issue:4630", "issue:4868", "issue:4877", + "issue:4912", "issue:5062", "issue:5070", "issue:5130", @@ -61570,23 +61446,22 @@ "issue:6732", "issue:692", "issue:7147", - "issue:7237", + "issue:7264", "issue:7377", "issue:7440", "issue:7456", "issue:8410", "issue:8451", "issue:8495", - "issue:8593", "issue:8792", "issue:9001", - "issue:9026", - "issue:9298", - "issue:9454", - "issue:9793", - "issue:9902" + "issue:9793" ], "soft_pairs": [ + "issue:2984|issue:3817", + "issue:3093|issue:4630", + "issue:3111|issue:4912", + "issue:3111|issue:7264", "issue:3113|issue:5442", "issue:3171|issue:5070", "issue:3221|issue:3338", @@ -61607,183 +61482,186 @@ "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:7147|issue:7377" ], - "prepared_review_unit_hash": "3ece4e6f8763a1e95e2ca2bb4152aaa69abc5c36e1be0edf09497fa06780efc1", + "prepared_review_unit_hash": "3e021c1dca14cd8227729ef04a265755017fba3d368aa51187a5a1eb77645736", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 32367, - "estimated_input_tokens": 8092, - "estimated_eval_tokens": 16440 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33185, + "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 unrelated Diffusers issues spanning feature requests, bug reports, docs, and usage questions. None of the soft pairs look like the same underlying bug or change, so all should be rejected as duplicates.", - "confidence": 0.94, - "canonical_issue_reason": "issue:4524 is the most active and broadly relevant item in the set (high discussion and inbound references), but it is still only a single feature request and not a true duplicate anchor for the rest of the cluster.", + "summary": "This cluster is mostly a set of unrelated feature requests/questions across different Diffusers pipelines and utilities; the soft-similarity links are not strong enough to treat any pair as duplicates.", + "confidence": 0.34, + "canonical_issue_reason": "issue:4524 is the strongest representative issue here: it has the highest discussion activity and inbound references, and it is a concrete feature request rather than a narrow one-off question.", "canonical_pr_reason": null, - "best_issue_reason": "issue:4524 is the best representative by activity and community interest, though the cluster does not contain a coherent duplicate family.", + "best_issue_reason": "issue:4524 is the best single issue to anchor the cluster because it is prominent, substantive, and clearly scoped to a real product enhancement.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2984", + "right": "issue:3817", + "accept": false, + "reason": "Unrelated topics: long-video diffusion model research vs editable dance generation from music." + }, + { + "left": "issue:3093", + "right": "issue:4630", + "accept": false, + "reason": "Noise manipulation during generation is different from changing LoRA weights after loading." + }, + { + "left": "issue:3111", + "right": "issue:4912", + "accept": false, + "reason": "Custom conditioning encoder support is unrelated to converting SDXL checkpoints." + }, + { + "left": "issue:3111", + "right": "issue:7264", + "accept": false, + "reason": "Custom conditioning encoder support is a different problem from serializing/loading custom Transformers models." + }, { "left": "issue:3113", "right": "issue:5442", "accept": false, - "reason": "Different topics: layout control with cross-attention guidance vs ScaleCrafter higher-resolution generation. Same broad diffusion research theme, not the same bug/change." + "reason": "Cross-attention layout control and ScaleCrafter are different feature requests for different code paths." }, { "left": "issue:3171", "right": "issue:5070", "accept": false, - "reason": "Both concern ControlNet usage, but one asks for LPW prompt support and the other for example settings only_mid_control/sd_locked. Not the same issue." + "reason": "Both mention ControlNet-style prompting, but one is about LPW prompts and the other about specific control flags in an example; not the same bug/change." }, { "left": "issue:3221", "right": "issue:3338", "accept": false, - "reason": "One is an attn processor loading failure; the other is slow import time. Different failure modes and code paths." + "reason": "A version-specific attention processor loading bug is unrelated to slow package import time." }, { "left": "issue:3406", "right": "issue:4311", "accept": false, - "reason": "only_cross_attention behavior vs local_files_only pipeline-class assignment error. No shared underlying bug." + "reason": "only_cross_attention behavior is unrelated to the local_files_only pipeline_class bug." }, { "left": "issue:3406", "right": "issue:5062", "accept": false, - "reason": "Attention-class malfunction for only_cross_attention is unrelated to a processor typo in attention docs/code naming." + "reason": "Attention behavior for only_cross_attention is different from a typo in attention processor naming." }, { "left": "issue:3444", "right": "issue:3728", "accept": false, - "reason": "ImageBind audio-to-image integration request vs a new Shifted Diffusion pipeline request. Different features." + "reason": "Audio-to-image integration is unrelated to shifted diffusion text-to-image support." }, { "left": "issue:4052", "right": "issue:7440", "accept": false, - "reason": "Missing from_single_file attribute is unrelated to a dataset availability problem." + "reason": "Missing from_single_file import and a missing dataset are unrelated issues." }, { "left": "issue:4264", "right": "issue:7456", "accept": false, - "reason": "Missing example images vs missing raise statement. Documentation artifact issue versus code correctness issue." + "reason": "Missing example images is not the same as a missing raise statement." }, { "left": "issue:4312", "right": "issue:5371", "accept": false, - "reason": "SAG support for inpainting/img2img and BLIP inpainting support are different pipeline feature requests." + "reason": "SAG for inpainting/img2img and BLIP inpainting support are different pipeline feature requests." }, { "left": "issue:4386", "right": "issue:4877", "accept": false, - "reason": "SDXL LoRA conversion question vs exposing noise_init_strength as an input arg. Different tasks." + "reason": "LoRA conversion for SDXL is unrelated to exposing noise_init_strength as an input argument." }, { "left": "issue:4524", "right": "issue:6616", "accept": false, - "reason": "AnimateDiff integration and classifier-guidance are separate pipeline/features, not one concrete fix." + "reason": "AnimateDiff pipeline support and classifier guidance are different concrete features affecting different generation paths." }, { "left": "issue:459", "right": "issue:692", "accept": false, - "reason": "Incremental Diffusion proposal vs a fine-tuning example request. Not the same underlying change." + "reason": "Incremental diffusion and an example for fine-tuning are not the same underlying issue." }, { "left": "issue:4868", "right": "issue:8495", "accept": false, - "reason": "Generic super().__getattr__ AttributeError vs SD3 tokenizer enum parsing error. Distinct runtime failures." + "reason": "A Python AttributeError in one path is unrelated to an SD3 tokenizer enum deserialization error." }, { "left": "issue:5130", "right": "issue:6732", "accept": false, - "reason": "Scheduler usage question vs documentation gap for trained_betas. Related subsystem, but not the same issue." + "reason": "A scheduler usage question is not the same as undocumented trained_betas documentation." }, { "left": "issue:5254", "right": "issue:9001", "accept": false, - "reason": "Multi-ControlNet inpainting support and Auraflow aspect ratios are unrelated feature requests." + "reason": "Multi-ControlNet inpaint support and Auraflow aspect ratios are separate pipeline enhancements." }, { "left": "issue:5284", "right": "issue:8410", "accept": false, - "reason": "ControlNet-LLLite support and native TextDiffuser pipeline support are different additions." + "reason": "ControlNet-LLLite support and native TextDiffuser support are different model/pipeline additions." }, { "left": "issue:5643", "right": "issue:6113", "accept": false, - "reason": "How to use IP-Adapter ControlNet vs how to use models from a specific HF repo. Different usage questions." + "reason": "How to use IP-Adapter ControlNet is unrelated to loading models from the sd_control_collection repo." }, { "left": "issue:5931", "right": "issue:9793", "accept": false, - "reason": "Non-deterministic generation vs progress bar update problem. Separate code paths and symptoms." + "reason": "Generation nondeterminism and a progress bar update issue are different bugs." }, { "left": "issue:6093", "right": "issue:8451", "accept": false, - "reason": "push_to_hub behavior in a training script vs training-script documentation about frozen UNet parameters. Not duplicates." + "reason": "push_to_hub behavior in one training script is unrelated to missing training details for frozen UNet parameters." }, { "left": "issue:6295", "right": "issue:8792", "accept": false, - "reason": "Artifacts with a specific scheduler setting vs quality degradation when migrating from A1111. Similar symptom class, but too broad and not the same concrete bug." + "reason": "Artifacts with a specific sampler setting are not the same as general quality degradation migrating from A1111 to Diffusers." }, { "left": "issue:7147", "right": "issue:7377", "accept": false, - "reason": "Import error for StableCascadeDecoderPipeline vs batching error with num_images_per_prompt. Different pipeline issues." - }, - { - "left": "issue:7237", - "right": "issue:9902", - "accept": false, - "reason": "Missing EDMEulerScheduler symbol vs conda version being stuck. No meaningful overlap." - }, - { - "left": "issue:8593", - "right": "issue:9454", - "accept": false, - "reason": "SD3 bfloat16-on-CPU noise issue vs CogVideoX model lookup failure. Unrelated failures." - }, - { - "left": "issue:9026", - "right": "issue:9298", - "accept": false, - "reason": "Unexpected force_hook kwarg in dispatch vs missing Float8 storage object. Different dependency/runtime problems." + "reason": "Import failure for StableCascadeDecoderPipeline is different from a runtime error when num_images_per_prompt > 1." } ] }, @@ -61805,7 +61683,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10204", "issue:10382", @@ -61822,12 +61700,9 @@ "issue:11363", "issue:11570", "issue:12338", - "issue:12605", "issue:12656", "issue:12981", - "issue:13377", "issue:1815", - "issue:2906", "issue:3177", "issue:3748", "issue:3765", @@ -61837,25 +61712,31 @@ "issue:4631", "issue:5313", "issue:5710", - "issue:6385", - "issue:6506", - "issue:7082", + "issue:7237", "issue:7322", "issue:782", "issue:7897", + "issue:8593", "issue:8831", + "issue:9026", "issue:9051", "issue:9170", "issue:9178", + "issue:9298", "issue:9331", "issue:9417", + "issue:9454", "issue:9460", "issue:9479", "issue:9496", "issue:954", - "issue:9637" + "issue:9637", + "issue:9902" ], "soft_pairs": [ + "issue:7237|issue:9902", + "issue:8593|issue:9454", + "issue:9026|issue:9298", "issue:9331|issue:9417", "issue:12338|issue:9637", "issue:5313|issue:8831", @@ -61876,192 +61757,189 @@ "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:10382|issue:12656" ], - "prepared_review_unit_hash": "3c813ab1c424bc731232e2473bba39bb61326efbee6563c5d8b26acc0d9085e1", + "prepared_review_unit_hash": "c2203eb4bf353f7c8ed3d9fdf922062bd14ae063a68d9a285902cb69d4061c65", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33590, - "estimated_input_tokens": 8398, - "estimated_eval_tokens": 17052 + "serialized_chars": 33359, + "estimated_input_tokens": 8340, + "estimated_eval_tokens": 16936 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Most candidate pairs are adjacent-topic lookalikes rather than true duplicates. The only clear duplicate is the FlowMatchEulerDiscreteScheduler `index_for_timestep()` bug pair (#10584 and #9331).", - "confidence": 0.93, - "canonical_issue_reason": "issue:9331 is the broadest and clearest statement of the shared `index_for_timestep()` defect; #10584 reads like a symptom-specific report of the same bug.", + "summary": "This cluster is mostly noisy and spans many unrelated bug reports and feature requests. The inpainting trio is the strongest thematic group, with #3880 as the best umbrella issue. For soft edges, only the DPMSolverSinglestepScheduler pair looks like a real duplicate-style match; the FlowMatch `index_for_timestep` pair should be rejected because one is a bug report and the other is a performance suggestion.", + "confidence": 0.79, + "canonical_issue_reason": "#3880 is the clearest broad inpainting-defect report and works best as the umbrella for related masked-area degradation complaints, including #9479 and the later FluxFill inpainting quality issue.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9331 is the best global issue anchor because it most directly names the concrete code path implicated by the one accepted duplicate pair.", + "best_issue_reason": "#3880 is the most representative standalone bug in the set: it describes a concrete inpainting degradation problem with broad applicability.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7237", + "right": "issue:9902", + "accept": false, + "reason": "Unrelated: missing scheduler class vs a conda version pin/stuck version issue." + }, + { + "left": "issue:8593", + "right": "issue:9454", + "accept": false, + "reason": "Different bugs: SD3 CPU bfloat16 noise vs CogVideoX image2video model loading." + }, + { + "left": "issue:9026", + "right": "issue:9298", + "accept": false, + "reason": "Different failure modes: unexpected `force_hook` arg vs missing `Float8_e4m3fnStorage`." + }, { "left": "issue:9331", "right": "issue:9417", "accept": false, - "reason": "Same scheduler method area, but #9331 is a bug report while #9417 is a performance suggestion to optimize the implementation; not the same underlying defect." + "reason": "Same function name, but one is a correctness bug report and the other is a performance suggestion; not the same underlying defect." }, { "left": "issue:12338", "right": "issue:9637", "accept": false, - "reason": "Unrelated failures: AutoencoderDC VAE slicing/decoding bug vs xFormers attention-mask/bfloat16 backend issue." + "reason": "Different runtime issues: AutoencoderDC slicing decode bug vs xFormers attention-mask/bfloat16 failure." }, { "left": "issue:5313", "right": "issue:8831", "accept": false, - "reason": "Both mention LoRA, but one is about non-revertible fuse behavior and the other about unsupported layers; different problems." + "reason": "Both are LoRA-related, but they describe different problems: non-revertible fuse vs unsupported layers." }, { "left": "issue:1815", "right": "issue:3177", "accept": false, - "reason": "Both involve DeepSpeed training, but they concern different scripts and failure modes; not the same code-path bug." + "reason": "Both involve DeepSpeed, but the reported training/offloading failures are different." }, { "left": "issue:11329", "right": "issue:11570", "accept": false, - "reason": "Both touch bitsandbytes quantization, but one reports a memory leak and the other a `.to()` cast failure when loading LoRA weights." + "reason": "Shared quantization context, but memory leak and `.to()` cast breakage are distinct bugs." }, { "left": "issue:4229", "right": "issue:7322", "accept": false, - "reason": "Different training errors and likely different root causes; one is multi-GPU accelerated training, the other is a SIGKILL during DreamBooth LoRA training." + "reason": "Both are training failures, but the contexts and failure causes differ." }, { "left": "issue:10584", "right": "issue:9331", - "accept": true, - "reason": "These describe the same `index_for_timestep()` problem in `scheduling_flow_match_euler_discrete.py` / `FlowMatchEulerDiscreteScheduler`." + "accept": false, + "reason": "Related scheduler area, but the specific reports do not clearly describe the same concrete bug." }, { "left": "issue:10447", "right": "issue:10928", "accept": false, - "reason": "Both relate to model file handling, but one is a converter splitting UNet weights and the other is a missing file during loading; not the same bug." + "reason": "Model file handling is only a broad theme; conversion splitting and missing fp16 weights are different issues." }, { "left": "issue:10204", "right": "issue:10833", "accept": false, - "reason": "Both are FluxFillPipeline issues, but one is inpainting quality degradation over iterations and the other is a bitsandbytes shape-mismatch error." + "reason": "Same pipeline family, but iterative inpainting degradation and quantization shape mismatch are different bugs." }, { "left": "issue:11109", "right": "issue:9178", "accept": false, - "reason": "Both are LoRA-related mismatches, but they occur in different model stacks and describe different mismatch types." + "reason": "Different LoRA problems: transformer layer mismatch vs PEFT target-module errors." }, { "left": "issue:10737", "right": "issue:9051", "accept": false, - "reason": "Same FluxPipeline family, but one is a missing `image_encoder` in `encode_image` and the other is lack of batch inference support." + "reason": "Both are FluxPipeline issues, but missing image encoder and lack of batch inference are different problems." }, { "left": "issue:7897", "right": "issue:9170", "accept": false, - "reason": "Both mention memory/GPU scaling, but one is multi-GPU behavior and the other is large VRAM requirements for SDXL+ControlNet; not the same defect." + "reason": "Both mention resource pressure, but they are not the same underlying bug." }, { "left": "issue:3765", "right": "issue:3880", "accept": false, - "reason": "Both are visual quality complaints, but one is ControlNet training stacking effects and the other is inpainting degrading unmasked areas." + "reason": "Different tasks and symptoms: ControlNet training stacking effects vs inpainting mask degradation." }, { "left": "issue:9460", "right": "issue:9496", "accept": false, - "reason": "Different SD3 ControlNet problems: list assignment support vs a forward-function error." + "reason": "Feature request to assign multiple ControlNet models vs a forward-function error." }, { "left": "issue:4631", "right": "issue:5710", - "accept": false, - "reason": "Same scheduler class, but one is a Karras-sigmas runtime scalar conversion error and the other is missing `self.sigmas` initialization; related but not the same bug." + "accept": true, + "reason": "Same scheduler class and same sigma initialization/code-path problem; these look like the same underlying bug." }, { "left": "issue:782", "right": "issue:954", "accept": false, - "reason": "Both are loading/auth issues, but one is about `use_auth_token` removal and the other is a post-login loading problem." + "reason": "Both are auth/download-related, but they are not the same failure." }, { "left": "issue:3748", "right": "issue:4520", "accept": false, - "reason": "Distinct LoRA issues: dtype mismatch loading safetensors vs attention slicing ignoring LoRA scale." + "reason": "Both involve LoRA, but dtype mismatch on load and attention-slicing scale behavior are different bugs." }, { "left": "issue:11223", "right": "issue:11363", "accept": false, - "reason": "Both are OOM reports, but for different pipelines and causes; not a single concrete bug." + "reason": "OOM reports in different contexts without evidence of the same root cause." }, { "left": "issue:11010", "right": "issue:9479", "accept": false, - "reason": "Unrelated topics: Chroma/Flux architecture support vs StableDiffusionInpaintPipeline masking behavior." + "reason": "Architecture-support request vs a stable-diffusion inpainting bug; not the same issue." }, { "left": "issue:11258", "right": "issue:12981", "accept": false, - "reason": "Same LTX family, but different versions and artifact types (single-file model vs GGUF loading); not the same change/bug." + "reason": "Same LTX family, but different versions/formats and different loading problems." }, { "left": "issue:10382", "right": "issue:12656", "accept": false, - "reason": "Completely different failures: VAE forward return-type mismatch vs AuraFlow positional embedding index OOB." - }, - { - "left": "issue:12605", - "right": "issue:13377", - "accept": false, - "reason": "Both involve masking/attention logic, but one ignores `attn_mask` in backends and the other silently disables CFG when a mask is `None`." - }, - { - "left": "issue:6385", - "right": "issue:6506", - "accept": false, - "reason": "StableVideoDiffusionPipeline issues, but one is excessive VRAM usage and the other is incorrect `output_type='np'` return type." - }, - { - "left": "issue:2906", - "right": "issue:7082", - "accept": false, - "reason": "Different dependency/import failures: missing `PreTrainedTokenizer` vs missing `CpuOffload`." + "reason": "Completely unrelated: VAE return-type mismatch vs AuraFlow positional embedding out-of-bounds." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The analysis is grounded in the packet and stays conservative on the soft-edge pairs. The single accepted duplicate pair (#10584 / #9331) is well supported, and the remaining pairs are appropriately treated as non-duplicates without overstating evidence." + "accept": false, + "feedback": "Rejecting because one soft-edge verdict overstates the evidence: issue #9331 and #9417 share a function name, but the packet shows a bug report versus a performance suggestion, not the same underlying defect. The rest of the pairing judgments are mostly conservative, and the inpainting umbrella choice is plausible, but this accept is too strong for the available evidence." }, "evaluator_used": true, - "retried": false, + "retried": true, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -62077,25 +61955,25 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10111", "issue:10231", "issue:10897", - "issue:11555", "issue:11592", "issue:1185", "issue:12108", - "issue:1231", + "issue:12605", "issue:12653", + "issue:13377", "issue:1417", "issue:1708", "issue:1857", "issue:1934", - "issue:2016", "issue:2507", "issue:2532", "issue:2784", + "issue:2906", "issue:2984", "issue:337", "issue:3444", @@ -62103,18 +61981,18 @@ "issue:3769", "issue:4390", "issue:4480", - "issue:4492", - "issue:5402", "issue:6112", "issue:6256", + "issue:6385", + "issue:6506", "issue:6533", "issue:6901", + "issue:7082", "issue:7380", "issue:7492", "issue:775", "issue:834", "issue:8410", - "issue:8551", "issue:8593", "issue:8604", "issue:8832", @@ -62129,6 +62007,9 @@ "issue:984" ], "soft_pairs": [ + "issue:12605|issue:13377", + "issue:6385|issue:6506", + "issue:2906|issue:7082", "issue:6256|issue:9610", "issue:2507|issue:834", "issue:11592|issue:8832", @@ -62150,196 +62031,196 @@ "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:2532|issue:3769" ], - "prepared_review_unit_hash": "004a60eba58879c4f83439d60638f948739acdedea39c6c862ade003ce5994a7", + "prepared_review_unit_hash": "c1d21b56e926fe5d4f8834a7b6db046c18097fa27bab2dbb1a57cd85373e9f60", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34002, - "estimated_input_tokens": 8501, - "estimated_eval_tokens": 17258 + "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": "The cluster is not a true duplicate set: the soft pairs mostly share only broad subsystem keywords (pipelines, FLUX, device_map, precision, etc.) but describe different bugs, features, or model-specific regressions. No PRs are present. If a single issue must act as a bucket, the broad FLUX umbrella issue is the closest fit.", - "confidence": 0.97, - "canonical_issue_reason": "issue:10111 is the broadest umbrella-style issue in the set ('Some bugs in FLUX pipeline'), so it is the closest thing to a canonical bucket, even though the surrounding items are not true duplicates of it.", + "summary": "This cluster is mostly heterogeneous: the soft matches are broad topical similarities, not true duplicates. The only clear duplicate-like pair is the StableDiffusionPanoramaPipeline get_views / quartered-image bug.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 2532 is the best root-cause anchor: it names the faulty `get_views` method, while 3769 is the downstream symptom report for the same panorama bug.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10111 is the most generic and umbrella-like issue title here; it is the only one that could plausibly group multiple FLUX-related reports, whereas the others are narrow, model-specific, or unrelated.", + "best_issue_reason": "Issue 2532 is the most actionable representative in the set because it points to the underlying code path rather than only the visual failure mode.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12605", + "right": "issue:13377", + "accept": false, + "reason": "Both are attention/mask-related FLUX bugs, but they affect different code paths: backend attention dispatch vs CFG being skipped when `mask` is `None`." + }, + { + "left": "issue:6385", + "right": "issue:6506", + "accept": false, + "reason": "Same broad StableVideoDiffusion area, but one is VRAM usage and the other is output type mismatch; not the same bug." + }, + { + "left": "issue:2906", + "right": "issue:7082", + "accept": false, + "reason": "Both are import/type-related failures, but they concern unrelated symbols (`PreTrainedTokenizer` vs `CpuOffload`) and different subsystems." + }, { "left": "issue:6256", "right": "issue:9610", "accept": false, - "reason": "Both are feature requests, but one is about callbacks in pipelines and the other about adding load_lora_weights to SD3 img2img; different API changes." + "reason": "Both are pipeline API feature requests, but they ask for different callbacks/methods and do not describe the same change." }, { "left": "issue:2507", "right": "issue:834", "accept": false, - "reason": "Both mention performance, but safetensors load speed and CPU underutilization are different problems with different code paths." + "reason": "Both mention performance, but one is safetensors load speed and the other is CPU underutilization during runtime; different problems." }, { "left": "issue:11592", "right": "issue:8832", "accept": false, - "reason": "A FluxLoraLoaderMixin regression is not the same as a generic crash at pipe(prompt).images[0]; different failure modes." + "reason": "One is a FLUX LoRA adapter regression; the other is a generic crash when calling `pipe(prompt)`. No concrete shared code path." }, { "left": "issue:3728", "right": "issue:6533", "accept": false, - "reason": "These are unrelated pipeline/model requests: shifted diffusion text-to-image vs Marigold monocular depth estimation." + "reason": "Both are requests for new pipelines, but they target different models/tasks and are not the same feature." }, { "left": "issue:1934", "right": "issue:984", "accept": false, - "reason": "CPU offload VRAM usage and an F.interpolate large-batch bug are unrelated." + "reason": "Unrelated performance/memory complaints in different code paths; no evidence of a shared underlying defect." }, { "left": "issue:7492", "right": "issue:9209", "accept": false, - "reason": "Both involve model loading, but one is a missing-repo URL error and the other is a mirror connectivity error; not the same bug." + "reason": "Both involve loading models, but one is a missing repo error and the other is a network/mirror connectivity issue." }, { "left": "issue:12108", "right": "issue:9460", "accept": false, - "reason": "Flow-matching scheduler breakage and assigning a list of ControlNet models are different pipeline behaviors." + "reason": "Different pipelines and different failures: flow-matching scheduler breakage vs assigning multiple ControlNet models." }, { "left": "issue:12108", "right": "issue:12653", "accept": false, - "reason": "The first is a scheduler/flow-matching issue; the second is an MPS float64 rope problem. No shared code-path." + "reason": "Completely different problems: scheduler compatibility vs RoPE dtype causing MPS/NPU issues." }, { "left": "issue:10111", "right": "issue:9516", "accept": false, - "reason": "Both are FLUX-related, but one is a broad pipeline-bugs umbrella and the other is a specific joint_attention_kwargs forwarding bug." + "reason": "Both mention FLUX, but one is a vague multi-bug report and the other is a specific missing `joint_attention_kwargs` pass-through; not the same bug." }, { "left": "issue:2784", "right": "issue:7380", "accept": false, - "reason": "Dreambooth for text-to-video and one-step diffusion distillation are unrelated feature requests." + "reason": "Both are feature requests, but they propose different diffusion capabilities and are not duplicates." }, { "left": "issue:4480", "right": "issue:8604", "accept": false, - "reason": "Both touch precision/device behavior, but one is an MPS float16 kernel crash and the other is corrupted output from converting the T5 encoder to float16." + "reason": "Both are fp16/MPS-related image corruption reports, but they involve different models/components and different failure modes." }, { "left": "issue:1185", "right": "issue:1708", "accept": false, - "reason": "Dreambooth reproducibility and passing a YAML config for inference are unrelated." + "reason": "Dreambooth is the only shared topic; one is reproducibility and the other is config-file usage. Not the same issue." }, { "left": "issue:337", "right": "issue:775", "accept": false, - "reason": "img2img/inpainting failures and fp16-without-autocast problems are different issues, even if both affect generation quality." + "reason": "Both are generation bugs, but one concerns img2img/inpainting behavior and the other fp16 without autocast." }, { "left": "issue:10231", "right": "issue:9023", "accept": false, - "reason": "Both are 'sample code cannot run' style reports, but they target different environments and likely different root causes." + "reason": "Both are generic run failures, but they are too unspecific and do not point to the same underlying problem." }, { "left": "issue:6112", "right": "issue:8593", "accept": false, - "reason": "Noise outputs on sdxl-turbo and noise outputs on SD3 bfloat16 CPU are model-specific and not the same bug." + "reason": "Both produce noise, but on different models and precisions; the bug reports do not indicate the same root cause." }, { "left": "issue:9320", "right": "issue:9719", "accept": false, - "reason": "Custom diffusion save/load regressions and disable_progress_bar being ignored are unrelated." + "reason": "Saved/loaded finetuned weights in custom diffusion is unrelated to a progress-bar suppression regression." }, { "left": "issue:10897", "right": "issue:8410", "accept": false, - "reason": "SkyReels-A1 support and TextDiffuser native support are different feature requests for different model families." + "reason": "Both are feature requests for new model support, but they are about different pipelines/tasks." }, { "left": "issue:1417", "right": "issue:1857", "accept": false, - "reason": "CPU offloading implementation concerns and UnCLIP poor testing are not the same underlying issue." + "reason": "CPU offloading implementation concerns are unrelated to UnCLIP test coverage." }, { "left": "issue:2984", "right": "issue:3444", "accept": false, - "reason": "Latent video diffusion and audio-to-image integration are different modality/model requests." + "reason": "Both request new pipeline/model support, but they are for different modalities and concrete changes." }, { "left": "issue:9171", "right": "issue:9719", "accept": false, - "reason": "A from_single_file v_prediction regression is unrelated to progress-bar suppression during shard loading." + "reason": "A single-file loading regression for SD 1.5 `v_prediction` is unrelated to `disable_progress_bar` being ignored." }, { "left": "issue:4390", "right": "issue:6901", "accept": false, - "reason": "Missing requirements and a missing clip_sample implementation are different problems." + "reason": "Missing requirements vs missing `clip_sample` implementation: both are 'missing' in name only, not the same defect." }, { "left": "issue:2532", "right": "issue:3769", - "accept": false, - "reason": "Both concern panorama-style output, but one is a get_views method bug and the other is a quartered-image artifact; not enough to call them duplicates." - }, - { - "left": "issue:4492", - "right": "issue:5402", - "accept": false, - "reason": "NameError for 'false' and inability to import compute_snr are unrelated errors." - }, - { - "left": "issue:11555", - "right": "issue:8551", - "accept": false, - "reason": "Both mention device_map, but one asks for auto support in pipelines while the other reports a specific balanced-device placement bug in SDXL inpaint." - }, - { - "left": "issue:1231", - "right": "issue:2016", - "accept": false, - "reason": "Flax K-LMS scheduler work and a sampling-per-device regression are unrelated." + "accept": true, + "reason": "These describe the same StableDiffusionPanoramaPipeline bug: a `get_views` defect causing the quartered/incorrect panorama output." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation is grounded in the packet and stays conservative: the rejected soft pairs are only matched on broad topical similarity, while issue:2532 vs issue:3769 is a plausible same-bug pair based on the panorama/get_views titles. No overstatement that would require rejection." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -62354,42 +62235,41 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10111", - "issue:10472", "issue:10518", "issue:10760", "issue:10833", "issue:10883", "issue:10893", - "issue:11045", "issue:11144", - "issue:11275", "issue:11283", "issue:11352", "issue:11547", + "issue:11555", "issue:11674", - "issue:11721", "issue:12110", "issue:12157", "issue:12221", + "issue:1231", "issue:12547", "issue:13221", "issue:13261", - "issue:1963", + "issue:2016", "issue:2319", "issue:2532", "issue:3576", "issue:4080", "issue:4141", + "issue:4492", "issue:4639", "issue:5006", "issue:5028", "issue:5118", "issue:5128", - "issue:5392", + "issue:5402", "issue:5441", "issue:5463", "issue:5749", @@ -62398,6 +62278,7 @@ "issue:6095", "issue:6281", "issue:7629", + "issue:8551", "issue:9031", "issue:9038", "issue:9551", @@ -62405,6 +62286,9 @@ "issue:9619" ], "soft_pairs": [ + "issue:4492|issue:5402", + "issue:11555|issue:8551", + "issue:1231|issue:2016", "issue:10883|issue:9551", "issue:5118|issue:5866", "issue:5749|issue:6095", @@ -62425,183 +62309,180 @@ "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:10833|issue:11352" ], - "prepared_review_unit_hash": "ea24f8f84580b4e7ac481285d35b67526429d9b8e082e2a2f5b0c48a76f85b22", + "prepared_review_unit_hash": "8ad9cc2dee261c6ba8d915d03a182bfc4aea49119f86cbb1e0b62b93c6ac57b8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33576, - "estimated_input_tokens": 8394, - "estimated_eval_tokens": 17044 + "serialized_chars": 33512, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster does not contain a clear duplicate set: the items span unrelated model families, pipelines, training scripts, and feature requests. The soft edges are only broad keyword overlaps (e.g. ControlNet, LoRA, FLUX, Wan, Flax) and should all be rejected.", - "confidence": 0.93, + "summary": "The cluster is heterogeneous: it mixes unrelated feature requests, import errors, training-script bugs, and pipeline-specific regressions. None of the soft pairs look like the same underlying issue or change, so all soft edges are rejected.", + "confidence": 0.95, "canonical_issue_reason": null, "canonical_pr_reason": null, "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4492", + "right": "issue:5402", + "accept": false, + "reason": "Different problems: a JSON/boolean typo (`false` vs `False`) versus a missing `compute_snr` import. No shared code path." + }, + { + "left": "issue:11555", + "right": "issue:8551", + "accept": false, + "reason": "Both mention `device_map`, but one is a broad feature question and the other is a specific VAE device-placement bug in an inpaint pipeline." + }, + { + "left": "issue:1231", + "right": "issue:2016", + "accept": false, + "reason": "Both are Flax-related, but one is a scheduler request and the other is a sampling regression. Not the same bug/change." + }, { "left": "issue:10883", "right": "issue:9551", "accept": false, - "reason": "Both mention controlnet-related work, but one is a Marigold update request and the other is about x-labs FLUX controlnet models; different model families and different asks." + "reason": "Different feature requests in different model families; no shared concrete implementation target." }, { "left": "issue:5118", "right": "issue:5866", "accept": false, - "reason": "One asks how to use ControlNet reference-only in diffusers; the other is about AnimateDiff + ControlNet behavior. Same subsystem, but not the same bug/change." + "reason": "Both touch ControlNet usage, but one is about reference-only support and the other is AnimateDiff+ControlNet integration. Different code paths." }, { "left": "issue:5749", "right": "issue:6095", "accept": false, - "reason": "Both are IndexError reports, but they affect different pipelines and likely different failure paths; too generic to be duplicates." + "reason": "Both are IndexErrors, but they affect different pipelines and likely different scheduler logic. Too broad to merge." }, { "left": "issue:10100", "right": "issue:12221", "accept": false, - "reason": "ConsisID support and DiffSynth ControlNet support are unrelated feature requests for different integrations." + "reason": "Both are feature requests, but for unrelated models/integrations. No duplicate underlying change." }, { "left": "issue:10893", "right": "issue:9619", "accept": false, - "reason": "One requests CogVideoX ControlNet integration, the other requests interrupt support in StableDiffusionControlNetPipeline; different features and code paths." + "reason": "One requests CogVideoX ControlNet support; the other requests interrupt support for StableDiffusionControlNetPipeline. Unrelated changes." }, { "left": "issue:13221", "right": "issue:13261", "accept": false, - "reason": "Both concern LoRA/Lokr support, but for different models (Zimage vs FLUX.2-klein-9B) and different reported problems." + "reason": "Both mention LoRA, but one is a general support issue and the other is a specific FLUX.2-klein-9B LoRA/Lokr compatibility problem." }, { "left": "issue:4141", "right": "issue:6281", "accept": false, - "reason": "One is a ControlNet inpainting behavior bug; the other is an import error for MultiControlNetModel. Different layers of the stack and different fixes." + "reason": "One is a MultiControlNet behavior bug; the other is an import error for `MultiControlNetModel`. Related area, but not the same defect." }, { "left": "issue:11144", "right": "issue:9576", "accept": false, - "reason": "Flax UNet dtype initialization and safetensors propagation are separate issues with no clear shared code-path." + "reason": "Different concerns: dtype initialization in Flax UNet versus `use_safetensors` propagation when loading pipelines." }, { "left": "issue:11283", "right": "issue:11674", "accept": false, - "reason": "Both are Wan-related, but one is a deserialization header error and the other is a VACE feature request; not the same issue." + "reason": "Same Wan ecosystem, but one is a deserialization failure and the other is a feature request for VACE inputs. Not the same issue." }, { "left": "issue:5128", "right": "issue:5463", "accept": false, - "reason": "Loading a local safetensors checkpoint is unrelated to an UnboundLocalError on image_latents; different pipeline failures." + "reason": "Unrelated errors: loading a local safetensors file versus an `image_latents` uninitialized variable." }, { "left": "issue:12157", "right": "issue:12547", "accept": false, - "reason": "A bnb_quantization_config_path device-iteration error is unrelated to a missing --instance_prompt argument in Dreambooth Flux Kontext training." + "reason": "Both are training-time errors, but caused by different scripts and different root causes (`torch.device` iterable bug vs missing `--instance_prompt`)." }, { "left": "issue:10111", "right": "issue:10518", "accept": false, - "reason": "Both are FLUX/SD training-related, but one is a general FLUX pipeline bug report and the other is a specific sd3 LoRA example script issue." + "reason": "Different pipelines and different bug reports; no evidence they share the same root cause." }, { "left": "issue:10760", "right": "issue:12110", "accept": false, - "reason": "An import attribute error for an ONNX pipeline is unrelated to a UNet1DModel GaussianFourier initialization bug." + "reason": "Different code paths and error types: import failure for an ONNX pipeline class versus UNet1D initialization bug." }, { "left": "issue:4080", "right": "issue:5947", "accept": false, - "reason": "An SDXL inpainting pipeline feature request and a Diffusion-DPO policy objective issue are entirely unrelated." + "reason": "A new SDXL inpainting pipeline request is unrelated to a Diffusion-DPO policy objective request." }, { "left": "issue:9031", "right": "issue:9038", "accept": false, - "reason": "Both are FlaxStableDiffusionPipeline questions, but one is about disabling safety_checker and the other about prompt weights; different features." + "reason": "Both are Flax feature questions, but one is about disabling the safety checker and the other about prompt weighting. Separate features." }, { "left": "issue:5006", "right": "issue:7629", "accept": false, - "reason": "Both mention OOM, but they involve different models and environments (SDXL BF16 training vs SVD on PyTorch 1.13.1)." + "reason": "Both involve OOM, but in different models, versions, and circumstances. Not a single concrete bug." }, { "left": "issue:10893", "right": "issue:11547", "accept": false, - "reason": "These are separate feature requests: CogVideoX ControlNet integration versus Flux fill-dev ControlNet support." + "reason": "Both reference ControlNet, but they target different model families and different feature requests." }, { "left": "issue:4639", "right": "issue:5441", "accept": false, - "reason": "Different training scripts and different failures: multiprocessing data-loader error vs missing attn_processors in WuerstchenPrior." + "reason": "Different training scripts and failures: dataloader multiprocessing versus missing `attn_processors` on WuerstchenPrior." }, { "left": "issue:2319", "right": "issue:2532", "accept": false, - "reason": "A typo in a loading helper and a panorama pipeline get_views bug are unrelated." + "reason": "A typo fix in one method is unrelated to a panorama pipeline `get_views` bug." }, { "left": "issue:3576", "right": "issue:5028", "accept": false, - "reason": "Both are TypeErrors, but the affected components differ: xformers/textual inversion versus a hacked DownBlock2D forward in SDXL reference pipeline." - }, - { - "left": "issue:10472", - "right": "issue:11275", - "accept": false, - "reason": "Both are runtime errors during model use, but one is a LoRA `lora_bias` argument issue and the other is a VAE ResnetUpsampleBlock2D NoneType addition bug." + "reason": "Both are TypeErrors, but caused by different mechanisms and pipeline implementations. Not mergeable as one fix." }, { "left": "issue:10833", "right": "issue:11352", "accept": false, - "reason": "A FluxFillPipeline matrix-shape mismatch and a bnb CPU-move warning issue are unrelated." - }, - { - "left": "issue:11045", - "right": "issue:11721", - "accept": false, - "reason": "Both mention model load crashes, but they involve different pipelines/models (Flux Schnell training vs SanaPipeline) and different failure modes." - }, - { - "left": "issue:1963", - "right": "issue:5392", - "accept": false, - "reason": "Latent unconditional generation is a different topic from how to train an unconditional latent diffusion model; the latter is a usage question, not the same bug." + "reason": "Both involve bitsandbytes quantization, but one is a matrix-shape runtime failure and the other is a missing CPU-move warning. Different outcomes and fixes." } ] }, @@ -62623,30 +62504,31 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10302", "issue:10467", "issue:10757", - "issue:11422", + "issue:11045", + "issue:11721", "issue:12308", "issue:1304", "issue:1335", "issue:1434", "issue:1519", "issue:1672", + "issue:1963", "issue:3301", "issue:3624", - "issue:3651", "issue:4331", "issue:4349", "issue:4436", "issue:463", "issue:4880", "issue:5112", + "issue:5392", "issue:5465", "issue:5474", - "issue:5523", "issue:5873", "issue:6054", "issue:6087", @@ -62667,7 +62549,6 @@ "issue:8997", "issue:9147", "issue:9297", - "issue:9393", "issue:9397", "issue:9505", "issue:9713", @@ -62675,6 +62556,8 @@ "issue:9941" ], "soft_pairs": [ + "issue:11045|issue:11721", + "issue:1963|issue:5392", "issue:1519|issue:785", "issue:8523|issue:8997", "issue:3301|issue:4331", @@ -62696,182 +62579,180 @@ "issue:5465|issue:7049", "issue:7138|issue:8744", "issue:9147|issue:9941", - "issue:7682|issue:9297", - "issue:11422|issue:9393", - "issue:3651|issue:5523" + "issue:7682|issue:9297" ], - "prepared_review_unit_hash": "3b84d893568930b3cab7d794b3b4da2bb9830a88854e53d0e4bfa38551991053", + "prepared_review_unit_hash": "248dc76b6833d784100e959c26b24b49eb928e510e30b122b36e0c0ff77f927c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34614, - "estimated_input_tokens": 8654, - "estimated_eval_tokens": 17564 + "serialized_chars": 34590, + "estimated_input_tokens": 8648, + "estimated_eval_tokens": 17552 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a duplicate cluster; the items cover many unrelated bugs, feature requests, and environment-specific failures across training, inference, conversion, schedulers, and pipelines. All soft-edge pairs should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This cluster is mostly a grab bag of unrelated issues across different pipelines, training scripts, schedulers, conversion utilities, and model families. I do not see a true duplicate set here, so all soft pairs are rejected.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out because the items are not the same underlying bug; they cover distinct failures and feature requests across different code paths.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 11045 is the most concrete, self-contained bug report in the set: it names a specific crash, a specific model, and a specific training script, making it a good representative issue if one must be chosen.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11045", + "right": "issue:11721", + "accept": false, + "reason": "Both are load-time crashes, but they involve different pipelines/models (Flux Schnell vs SanaPipeline) and different failure contexts." + }, + { + "left": "issue:1963", + "right": "issue:5392", + "accept": false, + "reason": "Same broad topic of unconditional latent diffusion, but one is a generation issue and the other is a how-to/training question; not the same bug." + }, { "left": "issue:1519", "right": "issue:785", "accept": false, - "reason": "No: noisy batch outputs on Apple M2 is an inference correctness bug, while PNDMScheduler cost is a performance issue in a different code path." + "reason": "No overlap in underlying problem: noisy batch outputs on Apple M2 vs scheduler performance cost." }, { "left": "issue:8523", "right": "issue:8997", "accept": false, - "reason": "No: generic CUDA error in a playground app does not match a Kolors scheduler integration error; different models and failure modes." + "reason": "Different failures in different models/code paths; only a superficial \u201cCUDA error / scheduler error\u201d similarity." }, { "left": "issue:3301", "right": "issue:4331", "accept": false, - "reason": "No: one is a broken DreamBooth LoRA training script, the other reports differing results between DreamBooth and DreamBooth-LoRA; not the same bug." + "reason": "Both involve DreamBooth/LoRA training, but one is a generic failure report and the other is a behavioral discrepancy between two scripts." }, { "left": "issue:10757", "right": "issue:8939", "accept": false, - "reason": "No: variable naming in a conversion script is unrelated to tokenizer loading failure for SD3." + "reason": "Unrelated: variable-name fix in a conversion script vs tokenizer loading failure for an SD3 model." }, { "left": "issue:1672", "right": "issue:6087", "accept": false, - "reason": "No: wrong image size after ckpt-to-diffusers conversion is unrelated to saving/loading LoRA config and lora_alpha inference mismatch." + "reason": "Different subsystems and symptoms: checkpoint conversion image size mismatch vs LoRA config persistence causing wrong lora_alpha." }, { "left": "issue:10302", "right": "issue:10467", "accept": false, - "reason": "No: FP8 inference noise is a runtime precision issue, while the FLUX example issue appears to be an example/code-generation artifact." + "reason": "FP8 inference noise is a runtime quality bug; the other appears to be about example-code/file-name output and is not the same issue." }, { "left": "issue:1335", "right": "issue:3624", "accept": false, - "reason": "No: missing vae_encoder in ONNX pipeline init is a constructor/API mismatch, not the same as getattr attribute-name type error." + "reason": "Different TypeErrors in different code paths; no evidence they share the same underlying defect." }, { "left": "issue:4880", "right": "issue:6054", "accept": false, - "reason": "No: ControlNet image argument validation is unrelated to an EulerDiscreteScheduler torch.from_numpy misuse." + "reason": "Different pipeline bugs: ControlNet image validation vs Euler scheduler timestep handling." }, { "left": "issue:5474", "right": "issue:9713", "accept": false, - "reason": "No: a proposed new reference-only pipeline is a feature request, not a controlnet-training implementation proposal." + "reason": "A proposed new pipeline vs a controlnet-training implementation request; not duplicate bugs." }, { "left": "issue:5873", "right": "issue:9902", "accept": false, - "reason": "No: ONNX export support for scaled_dot_product_attention is unrelated to a conda version being stuck." + "reason": "ONNX export failure is unrelated to the conda version/package-management issue." }, { "left": "issue:5112", "right": "issue:6283", "accept": false, - "reason": "No: SDXL ControlNet img2img dtype/shape error is different from strength=0 behavior in the same pipeline family." + "reason": "Both are SDXL ControlNet img2img issues, but one is a float/shape TypeError and the other is a strength=0 edge-case; not clearly the same bug." }, { "left": "issue:6095", "right": "issue:8565", "accept": false, - "reason": "No: SVD scheduling index error and StableDiffusion3 LoRA load IndexError are different pipelines and different failure points." + "reason": "Both mention IndexError, but they affect different pipelines and code paths (SVD scheduling vs SD3 LoRA loading)." }, { "left": "issue:6162", "right": "issue:7611", "accept": false, - "reason": "No: IP-Adapter shape mismatch in SDXL is not the same as a generic UNet tensor size mismatch." + "reason": "Both are tensor/shape mismatch reports, but they concern different models and different components; too broad to merge." }, { "left": "issue:1434", "right": "issue:4349", "accept": false, - "reason": "No: upscale OOM from large images is a memory issue, while the other is a missing text_encoder dependency despite prompt_embeds." + "reason": "Same upscale pipeline family, but one is an OOM scaling issue and the other is a missing text_encoder compatibility bug." }, { "left": "issue:6323", "right": "issue:9505", "accept": false, - "reason": "No: TensorRT guidance_scale attribute assignment problem is unrelated to a checkpoint key missing during upscaling." + "reason": "Completely different problems: a TensorRT attribute-setting issue vs a checkpoint key mismatch when upscaling." }, { "left": "issue:12308", "right": "issue:9397", "accept": false, - "reason": "No: flash-attn kernel support for non-Hopper GPUs is an implementation/support request, while SGMUniform scheduler support for Hyper LoRAs is a different feature request." + "reason": "Different feature requests in unrelated areas: flash-attn support vs scheduler support for Hyper LoRAs." }, { "left": "issue:1304", "right": "issue:463", "accept": false, - "reason": "No: a how-to question about text-guided img2img is not the same as a general super-resolution diffusion model request." + "reason": "A training-how-to question and a super-resolution model request are not duplicates." }, { "left": "issue:4436", "right": "issue:8708", "accept": false, - "reason": "No: converting CIVITAI safetensors to diffusers is unrelated to missing vae.config.shift_factor in SD3 dreambooth examples." + "reason": "Both involve VAE/diffusers context, but one is conversion from civitai safetensors and the other is a missing SD3 training config field." }, { "left": "issue:5465", "right": "issue:7049", "accept": false, - "reason": "No: DiffEdit inpaint_strength limitation is a parameter-handling issue; the IP adapter example error is a separate unpacking/shape bug." + "reason": "Different pipeline bugs with different failure modes; no shared concrete code-path problem." }, { "left": "issue:7138", "right": "issue:8744", "accept": false, - "reason": "No: SDXL UNet structure mismatch and loading from single file for training are different problems." + "reason": "SDXL UNet structure mismatch vs single-file loading for training are unrelated." }, { "left": "issue:9147", "right": "issue:9941", "accept": false, - "reason": "No: FLUX autopipeline error is unrelated to a generic stable diffusion colab failure." + "reason": "Flux autopipeline error and a generic Colab stable-diffusion error do not describe the same defect." }, { "left": "issue:7682", "right": "issue:9297", "accept": false, - "reason": "No: multi-GPU SD1.5 execution problems are different from linear LoRA load-time slowdown." - }, - { - "left": "issue:11422", - "right": "issue:9393", - "accept": false, - "reason": "No: validation prompt crashes HiDream LoRA training, while the other issue is about saving Flux1 Dreambooth LoRA models with deepspeed." - }, - { - "left": "issue:3651", - "right": "issue:5523", - "accept": false, - "reason": "No: multi-GPU DreamBooth training failure is not the same as nondeterministic results across runs." + "reason": "One is a multi-GPU runtime issue; the other is a LoRA loading performance complaint." } ] }, @@ -62893,7 +62774,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", "issue:10334", @@ -62906,6 +62787,7 @@ "issue:11050", "issue:11137", "issue:11222", + "issue:11422", "issue:11519", "issue:11721", "issue:11724", @@ -62918,17 +62800,15 @@ "issue:2444", "issue:2606", "issue:2838", - "issue:2844", "issue:3338", - "issue:3679", + "issue:3651", "issue:4005", "issue:4043", "issue:4116", "issue:4349", "issue:4399", - "issue:4779", - "issue:5009", "issue:5034", + "issue:5523", "issue:5897", "issue:5934", "issue:5947", @@ -62939,11 +62819,14 @@ "issue:8885", "issue:9248", "issue:9374", + "issue:9393", "issue:9471", "issue:9516", "issue:9958" ], "soft_pairs": [ + "issue:11422|issue:9393", + "issue:3651|issue:5523", "issue:1100|issue:2444", "issue:10952|issue:9471", "issue:10896|issue:11519", @@ -62965,182 +62848,180 @@ "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:2838|issue:4005" ], - "prepared_review_unit_hash": "dbd9e95fe38b9ae64149961d03b8477c3fd5d8346ce66b29c39af70505c4a5b9", + "prepared_review_unit_hash": "59b8bfa533b8a14a098ea613a81873b24b793565b8a1420c2d540171b578e641", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33771, - "estimated_input_tokens": 8443, - "estimated_eval_tokens": 17142 + "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 noisy: it mixes unrelated support requests, model-specific bugs, scheduler issues, and training/inference errors. None of the soft pairs look like the same underlying bug/change, so I would not collapse any of them as duplicates.", - "confidence": 0.79, - "canonical_issue_reason": "Issue 10025 is the most generic and central title here, directly naming the Flux transformer attention-mask problem and serving as the best anchor for the small attention/transformer subset.", + "summary": "This cluster is a loose mix of diffusers issues around FLUX/SD3/Sana/Wan transformer conditioning, attention masks, LoRA loading, dtype mismatches, and unrelated support requests. None of the soft pairs look like true duplicates of the same concrete bug/change.", + "confidence": 0.28, + "canonical_issue_reason": "issue:10025 is the broadest representative of the FLUX transformer attention/mask thread and is closer than the others to the shared transformer-conditioning theme.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10025 is the best overall representative because it is broad, concrete, and closest to the recurring transformer/attention-mask theme; the rest are mostly unrelated point bugs or feature requests.", + "best_issue_reason": "issue:10025 is the best single issue to anchor this cluster because it is concrete, model-specific, and sits near the center of the FLUX attention-related reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11422", + "right": "issue:9393", + "accept": false, + "reason": "Different failures: validation-prompt crash during training vs DeepSpeed save-model failure." + }, + { + "left": "issue:3651", + "right": "issue:5523", + "accept": false, + "reason": "One is a multi-GPU training problem; the other is run-to-run inconsistency, not the same bug." + }, { "left": "issue:1100", "right": "issue:2444", "accept": false, - "reason": "Different failures: CLIPTextTransformer device attribute access vs a training script exiting nonzero. Same general area of errors, but not the same bug." + "reason": "Unrelated error paths: CLIPTextTransformer.device exception vs dreambooth inpaint subprocess failure." }, { "left": "issue:10952", "right": "issue:9471", "accept": false, - "reason": "LoRA adapter-name mismatch in SDXL long-prompt weighting is unrelated to a CoreML file-extension/resource-type parsing error." + "reason": "LoRA adapter-name lookup error and file-extension/resource-type parsing error are different issues." }, { "left": "issue:10896", "right": "issue:11519", "accept": false, - "reason": "Both are support requests, but for different models (SkyReels-A1 vs MAGI-1) and different underlying work." + "reason": "Both are support requests, but for different models and no shared concrete defect." }, { "left": "issue:2294", "right": "issue:3338", "accept": false, - "reason": "Import error for a missing pipeline symbol is not the same as slow diffusers import performance." + "reason": "Importing a specific pipeline is not the same as slow package import performance." }, { "left": "issue:4116", "right": "issue:7185", "accept": false, - "reason": "Embedding handling in StableDiffusionXLImg2ImgPipeline is unrelated to a question about PyTorch version support." + "reason": "Embedding-handling bug vs PyTorch version support question; not the same code-path problem." }, { "left": "issue:5947", "right": "issue:8482", "accept": false, - "reason": "Diffusion-DPO policy discussion is not the same as requesting Stable Diffusion 3 medium support." + "reason": "Policy-objective request and model-support request are unrelated." }, { "left": "issue:9374", "right": "issue:9958", "accept": false, - "reason": "AutoPipeline support for Flux pipelines and AutoencoderKLTemporalDecoder tiling are different feature requests in different code paths." + "reason": "Different components and different changes: AutoPipeline FLUX support vs Autoencoder tiling support." }, { "left": "issue:4043", "right": "issue:4349", "accept": false, - "reason": "Both mention prompt embeddings, but one is an SDXL API requirement and the other is a pipeline assumption about text_encoder presence; not the same concrete bug." + "reason": "Both involve embeddings, but the affected pipelines and failure modes differ." }, { "left": "issue:11721", "right": "issue:8885", "accept": false, - "reason": "SanaPipeline load crash is unrelated to a Custom Diffusion example dependency/install issue." + "reason": "SanaPipeline load crash is unrelated to clip-retrieval/modifier-token installation issues." }, { "left": "issue:10334", "right": "issue:10336", "accept": false, - "reason": "Both are Sana-related, but one reports NaNs/gray images on MacOS and the other reports exploding activations and clamping; too different to merge." + "reason": "Same model family, but one is MacOS NaNs/grey output and the other is activation explosion/clamping." }, { "left": "issue:11907", "right": "issue:12771", "accept": false, - "reason": "Both involve schedulers, but one is a general Flux compatibility complaint while the other is a specific out-of-bounds bug for squaredcos_cap_v2 with Karras sigmas." + "reason": "Both are scheduler-related, but one is FLUX pipeline incompatibility and the other is a specific out-of-bounds scheduler bug." }, { "left": "issue:2606", "right": "issue:5897", "accept": false, - "reason": "DeepSpeed save_state hang during LoRA training is a different failure mode from a CUDA/CPU device mismatch during training." + "reason": "DeepSpeed save_state hang and device-mismatch LoRA training error are different problems." }, { "left": "issue:5034", "right": "issue:6351", "accept": false, - "reason": "Incorrect progress-bar display while loading checkpoints is unrelated to DistributedDataParallel lacking disable_adapters." + "reason": "Progress-bar display issue and DDP disable_adapters attribute error are unrelated." }, { "left": "issue:4399", "right": "issue:5934", "accept": false, - "reason": "PyTorch compile plus CPU offload incompatibility is not the same as a broader compile error report." + "reason": "Both mention torch.compile, but one is specifically about CPU offload interaction while the other is a broader compile error report." }, { "left": "issue:10025", "right": "issue:9516", "accept": false, - "reason": "Both touch FLUX transformer internals, but one is about attention masks and the other about joint_attention_kwargs not being forwarded; different code-path issues." + "reason": "Both touch FLUX transformer attention plumbing, but one is about attention masks and the other about joint_attention_kwargs forwarding; not the same concrete bug." }, { "left": "issue:10712", "right": "issue:11050", "accept": false, - "reason": "RuntimeError with StableDiffusion3 prompt_embeds is distinct from a training-time dtype casting omission for prompt_embeds/pooled_prompt_embeds." + "reason": "Inference RuntimeError with prompt_embeds vs training dtype-casting issue; different code paths." }, { "left": "issue:10954", "right": "issue:11724", "accept": false, - "reason": "FLUX LoRA load failure is unrelated to Chroma attention masking in the transformer." + "reason": "LoRA loading on FLUX vs Chroma attention masking are different model-specific issues." }, { "left": "issue:11137", "right": "issue:13300", "accept": false, - "reason": "Latte dtype mismatch and CPU generation failures for SD3.5/FLUX are different models and different symptoms." + "reason": "Latte dtype mismatch and CPU generation failures for SD3.5/FLUX are not the same underlying defect." }, { "left": "issue:11222", "right": "issue:11779", "accept": false, - "reason": "WAN LoRA support request is not the same as a WAN VACE mask-padding bug." + "reason": "Wan LoRA support request and Wan VACE mask-padding bug are different kinds of tasks." }, { "left": "issue:12195", "right": "issue:9248", "accept": false, - "reason": "PyTorch custom_op incompatibility and a generic install/upgrade note are not the same bug." + "reason": "Version-specific AutoencoderKL torch API failure is not the same as a pip installation command request." }, { "left": "issue:6866", "right": "issue:9958", "accept": false, - "reason": "IP-Adapter support for an SDXL ControlNet inpaint pipeline is unrelated to tiling support in AutoencoderKLTemporalDecoder." + "reason": "IP-Adapter support request and Autoencoder tiling support are unrelated feature requests." }, { "left": "issue:2838", "right": "issue:4005", "accept": false, - "reason": "A request to support ControlNet without control is unrelated to StableDiffusionInpaintPipeline aspect-ratio preservation." - }, - { - "left": "issue:2844", - "right": "issue:5009", - "accept": false, - "reason": "Explicitly passing image embeddings to StableUnCLIPImg2ImgPipeline is a different problem from a Wuerstchen error." - }, - { - "left": "issue:3679", - "right": "issue:4779", - "accept": false, - "reason": "A feature request for watermark-free text-to-video models is not the same as a ModelScope image-to-video pipeline request." + "reason": "ControlNet pipeline feature request and inpaint aspect-ratio bug are not duplicates." } ] }, @@ -63162,18 +63043,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10057", "issue:10227", - "issue:10231", "issue:10492", "issue:10514", "issue:10705", "issue:10952", "issue:11570", - "issue:1261", - "issue:1314", "issue:13191", "issue:13232", "issue:1536", @@ -63181,10 +63059,14 @@ "issue:177", "issue:181", "issue:2712", + "issue:2844", "issue:3284", + "issue:3679", "issue:3799", "issue:4542", "issue:4672", + "issue:4779", + "issue:5009", "issue:5168", "issue:5284", "issue:5325", @@ -63208,12 +63090,13 @@ "issue:8429", "issue:8801", "issue:8834", - "issue:8975", "issue:9648", "issue:9904", "issue:9972" ], "soft_pairs": [ + "issue:2844|issue:5009", + "issue:3679|issue:4779", "issue:10057|issue:7982", "issue:4542|issue:6593", "issue:4672|issue:8834", @@ -63235,186 +63118,187 @@ "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:6548|issue:6657" ], - "prepared_review_unit_hash": "be6282d4fbf64ce7054447709b270ebbf471815546fc733cb241f2930a8a7bb1", + "prepared_review_unit_hash": "389ac52b1742176531fc0d148c8947b7468cae14e95f2143461293ef9e54b119", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34062, - "estimated_input_tokens": 8516, - "estimated_eval_tokens": 17288 + "serialized_chars": 33901, + "estimated_input_tokens": 8476, + "estimated_eval_tokens": 17208 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly unrelated issue set spanning LoRA loading, pipeline support, xformers/backward failures, and assorted model-specific feature requests. Only the xformers backward reports look like the same underlying bug.", - "confidence": 0.66, - "canonical_issue_reason": "issue:6809 is the broadest, most reusable regression report in the set: a general LoRA adapter loading failure under PEFT, with fewer hardcoded assumptions than the more specific adapter-name or quantization variants.", + "summary": "These look like a loose set of unrelated Diffusers issues with a few superficial title similarities, not a true duplicate cluster. None of the soft pairs appear to be the same underlying bug or change.", + "confidence": 0.88, + "canonical_issue_reason": "issue:11570 is the strongest standalone bug report here: it has a concrete failure mode, clear affected area (load_lora_weights with quantized text encoders), and broad user impact.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6809 is the best representative issue because it captures the underlying LoRA-loading regression at the right abstraction level and is less narrowly scoped than the neighboring LoRA reports.", + "best_issue_reason": "issue:11570 is the best representative issue among the set because it is specific, reproducible, and actionable; most other issues are either feature requests or unrelated regressions.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2844", + "right": "issue:5009", + "accept": false, + "reason": "Different pipelines and failures: StableUnCLIP image-embeds handling vs Wuerstchen error. Shared vagueness only." + }, + { + "left": "issue:3679", + "right": "issue:4779", + "accept": false, + "reason": "Both are about video models, but one is about new text2video models and the other an image-to-video pipeline; not the same bug." + }, { "left": "issue:10057", "right": "issue:7982", "accept": false, - "reason": "Different APIs and failures: single-file token handling vs from_pipe/MultiControlNet loading." + "reason": "Different code paths: from_single_file token/loading issue vs from_pipe with MultiControlNetModel." }, { "left": "issue:4542", "right": "issue:6593", "accept": false, - "reason": "Img2img multi-image output bug vs a request to add load_lora_weights support." + "reason": "One is about img2img output count, the other is a request to add load_lora_weights support; not the same underlying problem." }, { "left": "issue:4672", "right": "issue:8834", "accept": false, - "reason": "Training VRAM reduction vs releasing SD3 ControlNet training code; not the same bug." + "reason": "VRAM reduction for SDXL LoRA training is unrelated to releasing SD3 ControlNet training code." }, { "left": "issue:6870", "right": "issue:9648", "accept": false, - "reason": "Missing enable_vae_tiling support in one pipeline vs memory overflow when tiling is enabled." + "reason": "Both mention enable_vae_tiling, but one is missing support in pipelines and the other is a memory overflow regression; distinct bugs." }, { "left": "issue:5399", "right": "issue:8429", "accept": false, - "reason": "Custom inpainting dtype mismatch vs I2VGen-XL inference script malfunction; different code paths." + "reason": "Custom inpainting dtype mismatch is unrelated to I2VGenXL inference-script issues." }, { "left": "issue:10492", "right": "issue:6809", "accept": false, - "reason": "Both are LoRA-related, but one is torchao quantize/fuse and the other is a general PEFT LoRA loading regression." + "reason": "Both involve LoRA/quantization, but one is torchao quantize + fuse failure and the other is PEFT adapter loading; different failure modes." }, { "left": "issue:5168", "right": "issue:8410", "accept": false, - "reason": "Different model-support requests for unrelated architectures." + "reason": "ControlNet-XS support and TextDiffuser pipeline support are separate feature requests." }, { "left": "issue:5284", "right": "issue:8801", "accept": false, - "reason": "Different model-support requests; same broad area but not the same change." + "reason": "ControlNet-LLLite support and Kolors support are unrelated model support requests." }, { "left": "issue:6141", "right": "issue:7877", "accept": false, - "reason": "ControlNet control_mode/resize_mode support request vs Attention out_dim support; unrelated feature asks." + "reason": "ControlNet parameter support vs Attention block out_dim support are unrelated feature requests." }, { "left": "issue:5963", "right": "issue:9972", "accept": false, - "reason": "Kandinsky prompt/embed behavior vs an outlandish CogX buffer allocation issue." + "reason": "Kandinsky embeds-vs-prompts bug is unrelated to CogX's MacOS buffer problem." }, { "left": "issue:10952", "right": "issue:11570", "accept": false, - "reason": "Both touch LoRA loading, but one is adapter-name resolution and the other is a .to() cast problem on quantized text encoders." + "reason": "Both touch LoRA loading, but one is an adapter-name mismatch and the other is a .to() cast problem on quantized text encoders; not the same bug." }, { "left": "issue:172", "right": "issue:177", "accept": false, - "reason": "Progress bar option request vs documentation request; unrelated." + "reason": "Progress bar options and from_pretrained subfolder documentation are unrelated." }, { "left": "issue:13191", "right": "issue:13232", "accept": false, - "reason": "Separate model support requests for different architectures." + "reason": "Elastic-DiT support and LTX-2.3 support are separate model-support requests." }, { "left": "issue:3799", "right": "issue:5325", "accept": false, - "reason": "Type inference bug vs packaging type distribution; different problems." + "reason": "Scheduler type inference bug and packaging type distribution issue are unrelated." }, { "left": "issue:5857", "right": "issue:5881", "accept": false, - "reason": "AnimateDiff/LCM LoRA behavior vs general Animatediff quality complaint; too broad to merge." + "reason": "Both mention AnimateDiff/LCM, but one is a LoRA compatibility issue and the other is a quality regression; not the same concrete bug." }, { "left": "issue:6096", "right": "issue:7629", "accept": false, - "reason": "SVD torch.compile dynamic shape failure vs PyTorch 1.13.1 OOM; different root causes." + "reason": "SVD torch.compile dynamic shape failure is unrelated to SVD OOM on PyTorch 1.13.1." }, { "left": "issue:10227", "right": "issue:10514", "accept": false, - "reason": "LoRA feature-size NotImplementedError vs Sana sample_size support limitation; not the same bug." + "reason": "LoRA feature-size support error and Sana resolution-binning/sample_size issue are unrelated." }, { "left": "issue:181", "right": "issue:3284", "accept": false, - "reason": "Image-writing failure in a script vs accelerate-related training script failure; different symptoms and paths." + "reason": "Train script image writing failure is unrelated to accelerate failure in dreambooth LoRA training." }, { "left": "issue:2712", "right": "issue:6444", "accept": false, - "reason": "Missing config key warning vs checkpointing-related AttributeError; unrelated." + "reason": "Missing norm_num_groups config and missing peft_config on CLIPTextModel are different initialization/training issues." }, { "left": "issue:10705", "right": "issue:9904", "accept": false, - "reason": "Pipeline reuse performance regression vs image-shape rounding; different FluxPipeline bugs." + "reason": "Same pipeline family, but one is performance degradation when reusing a FluxPipeline and the other is output-shape rounding; different bugs." }, { "left": "issue:1536", "right": "issue:5645", "accept": false, - "reason": "Custom pipeline incompatibility vs new LCM core support regression; not the same change." + "reason": "Custom pipeline incompatibility with newer diffusers and LCM core support problems are not the same issue." }, { "left": "issue:6548", "right": "issue:6657", "accept": false, - "reason": "RGBA image latent handling vs UNet3D frame/channel swap; different tensor-shape bugs." - }, - { - "left": "issue:1261", - "right": "issue:1314", - "accept": true, - "reason": "Both report xformers attention backward failures during backprop; the Windows report looks like a platform-specific manifestation of the same underlying backward-path bug." + "reason": "RGBA latent handling bug in img2img is unrelated to frames/channels swapped in UNet3DConditionModel." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet, and the issue-level judgments stay conservative. The only accepted soft pair, issue:1261 vs issue:1314, is reasonably supported by the shared xformers backward-failure theme. The LoRA-related representative/canonical choice also looks defensible from the titles alone." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -63429,15 +63313,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10139", + "issue:10231", "issue:10382", "issue:10722", "issue:10952", - "issue:11275", "issue:11536", "issue:11644", + "issue:1261", "issue:12610", "issue:1314", "issue:1657", @@ -63474,12 +63359,14 @@ "issue:8612", "issue:8708", "issue:8874", - "issue:9138", + "issue:8975", "issue:929", "issue:9477", "issue:9895" ], "soft_pairs": [ + "issue:1261|issue:1314", + "issue:10231|issue:8975", "issue:10382|issue:12610", "issue:5630|issue:6068", "issue:1314|issue:5678", @@ -63498,185 +63385,190 @@ "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" ], - "prepared_review_unit_hash": "3bd2ec9a1ed41d4ca980f351cad7e2426ea86dca4e9ae7b13c1f16f8e1eede50", + "prepared_review_unit_hash": "d7914eb5a2034d0ae7e71032f5774a62b8fead97132314ce47b81157bf478e6b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33601, - "estimated_input_tokens": 8401, - "estimated_eval_tokens": 17058 + "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 cluster is highly heterogeneous. The soft pairs mostly share only broad subsystems (VAE, scheduler, ControlNet, loading) but not the same concrete bug or change, so none should be merged as duplicates.", - "confidence": 0.9, - "canonical_issue_reason": "No single true canonical issue stands out because the items span unrelated bugs and feature requests; 10139 is only the most generic pipeline-init regression, not a duplicate hub.", + "summary": "This looks like a false-positive similarity cluster: the issues cover many unrelated bugs and features, so none of the soft pairs should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated topics (attention, loaders, schedulers, training, docs, LoRA, VAE, device mismatch), so this is not a duplicate cluster.", "canonical_pr_reason": null, - "best_issue_reason": "10139 is the cleanest representative if one must be chosen: it is a concrete, broadly phrased pipeline-init bug and more canonical than the more niche or request-like items.", + "best_issue_reason": "No issue is a good global representative because the cluster is heterogeneous; selecting one would misrepresent the rest.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1261", + "right": "issue:1314", + "accept": false, + "reason": "Both are xformers/backward errors, but one is a CUDA stride assert and the other is a Windows ME/gradient issue; not the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8975", + "accept": false, + "reason": "Both mention import errors, but they affect different imports and have different root causes." + }, { "left": "issue:10382", "right": "issue:12610", "accept": false, - "reason": "Different failures: VAE forward return-type mismatch vs Quanto/group-offload device mismatch." + "reason": "These are different failures in different code paths: VAE return-type mismatch vs. Quanto/group-offload device mismatch." }, { "left": "issue:5630", "right": "issue:6068", "accept": false, - "reason": "Both involve SDXL inference quality, but one is LMS/img2img noise and the other is DDIM sample correctness; distinct scheduler bugs." + "reason": "Both are SDXL sampling quality problems, but they involve different schedulers and distinct symptoms; not one concrete bug." }, { "left": "issue:1314", "right": "issue:5678", "accept": false, - "reason": "One is xformers backward failure on Windows; the other is higher-order autograd with scaled_dot_product_attention. Not the same bug." + "reason": "Attention-related errors, but one is a Windows xformers backward issue and the other is higher-order-derivative behavior with SDPA." }, { "left": "issue:170", "right": "issue:444", "accept": false, - "reason": "Unexpected `eta` kwarg vs `num_inference_steps` index error are separate scheduler API issues." + "reason": "Both are scheduler-related, but one is an unexpected eta argument and the other is an index error on step counts." }, { "left": "issue:201", "right": "issue:929", "accept": false, - "reason": "A test-task issue and an attention-sqrt implementation question are unrelated." + "reason": "A test request and an attention-optimization question are not the same underlying issue." }, { "left": "issue:2518", "right": "issue:4002", "accept": false, - "reason": "Missing xformers support in an example script vs missing `from_single_file` on an inpaint pipeline are different feature gaps." + "reason": "Different missing features in different examples/pipelines; no shared bug path." }, { "left": "issue:4913", "right": "issue:5866", "accept": false, - "reason": "Both mention ControlNet, but one is a model/package issue and the other is a combo workflow request; not the same change." + "reason": "Both mention ControlNet, but these are different scenarios and not the same change or bug." }, { "left": "issue:5598", "right": "issue:5989", "accept": false, - "reason": "A text encoder modification bug and a safetensors bug are unrelated." + "reason": "Unrelated failures: a text encoder helper bug versus a safetensors bug." }, { "left": "issue:5846", "right": "issue:7012", "accept": false, - "reason": "Checkpoint resume failure vs v-prediction image quality issue are different training/inference bugs." + "reason": "Training checkpoint resume error and v-prediction image quality issues are different problems." }, { "left": "issue:1742", "right": "issue:1909", "accept": false, - "reason": "Prompt-list performance variance vs generator-list/scheduler API mismatch are separate concerns." + "reason": "One is a performance inconsistency with identical prompts; the other is a generator API mismatch." }, { "left": "issue:4042", "right": "issue:6460", "accept": false, - "reason": "A usage question about combining pipelines and a model-loading hang are not the same bug." + "reason": "A feature-composition question versus an endless-loading bug; not duplicates." }, { "left": "issue:10952", "right": "issue:6809", "accept": false, - "reason": "Both concern LoRA loading, but one is adapter-name mismatch in an SDXL pipeline and the other is generic PEFT load failures; too different to merge." + "reason": "Both involve LoRA loading, but the adapter-name error and PEFT loading regression are different failure modes." }, { "left": "issue:5485", "right": "issue:8612", "accept": false, - "reason": "ControlNet batch inference slowness and PixArt mixed-precision incompatibility are unrelated." + "reason": "ControlNet batch slowness and mixed-precision incompatibility are unrelated." }, { "left": "issue:10722", "right": "issue:7606", "accept": false, - "reason": "DreamBooth tensor-size mismatch and Kandinsky LoRA deprecation are different code paths and problems." + "reason": "Different model/training issues with different error shapes; no shared concrete code path." }, { "left": "issue:1925", "right": "issue:3915", "accept": false, - "reason": "Half-precision inpainting failure and torch.compile text-to-video issues do not describe the same defect." + "reason": "Half-precision inpainting and torch.compile for text-to-video are unrelated bugs." }, { "left": "issue:3975", "right": "issue:7591", "accept": false, - "reason": "A typo in an error message and a HeaderTooLarge loading error are unrelated." + "reason": "A typo in an error message is unrelated to the HeaderTooLarge loading failure." }, { "left": "issue:3643", "right": "issue:5607", "accept": false, - "reason": "INT_MAX overflow in latent decoding vs a tensor-size mismatch during concatenation are distinct runtime errors." + "reason": "Different runtime shape/size failures in different pipeline stages." }, { "left": "issue:4954", "right": "issue:8874", "accept": false, - "reason": "Both are loading/unpickling problems, but one is textual inversion embedding load failure and the other is CKPT `from_single_file` weights-only load failure; not the same underlying change." - }, - { - "left": "issue:11275", - "right": "issue:9138", - "accept": false, - "reason": "VAE NoneType addition and int-vs-str comparison TypeError are unrelated." + "reason": "Both are load/unpickling errors, but they arise from different loaders and artifacts; not the same bug." }, { "left": "issue:1657", "right": "issue:4405", "accept": false, - "reason": "A request for a Kaggle notebook and a request to create a textual inversion training script are different feature requests." + "reason": "A request for notebook examples is not the same as adding a new training script." }, { "left": "issue:4578", "right": "issue:8708", "accept": false, - "reason": "Both touch VAE/docs/examples, but one is documentation omission and the other is a missing config field in training examples; not the same bug." + "reason": "Documentation wording and a missing config field in training examples are different issues." }, { "left": "issue:5989", "right": "issue:9477", "accept": false, - "reason": "Safetensors bug vs `GatheredParameters` callable error are unrelated." + "reason": "Completely unrelated: a safetensors bug versus a GatheredParameters callable error." }, { "left": "issue:10139", "right": "issue:11644", "accept": false, - "reason": "Different pipeline-init bugs affecting different models and failure modes." + "reason": "Both involve pipeline initialization, but they concern different pipelines and distinct bugs." }, { "left": "issue:11536", "right": "issue:9895", "accept": false, - "reason": "Prompt-adherence regression in FluxPipeline vs device-mismatch after a commit are distinct issues." + "reason": "Same pipeline family, but prompt adherence regression and device-mismatch runtime error are not the same underlying change." } ] }, @@ -63695,10 +63587,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10239", "issue:10314", @@ -63777,12 +63669,12 @@ ], "prepared_review_unit_hash": "d33a0ea1a8132c75f9b9d1e8467d5065eb8d0d300bc61424bb020305aaf8db25", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -63968,7 +63860,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10896", "issue:1099", @@ -64044,14 +63936,14 @@ "issue:1857|issue:259", "issue:1099|issue:1260" ], - "prepared_review_unit_hash": "56aa7f5d862df63e6fd9fa6586e4e70c4e1e229d1018571a1f1a33c23ca35fca", + "prepared_review_unit_hash": "e561bd828a41a8f6a7c248154a7630448f7aa8e767cfa594dfdaf681fc02fa36", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -64066,156 +63958,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is not a duplicate cluster: the items span many unrelated feature requests, load failures, training errors, and environment-specific bugs. All soft pairs look like superficial keyword similarity rather than the same underlying issue/change.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This cluster is not a duplicate set; it mixes unrelated feature requests and bug reports across training, schedulers, Flux, ControlNet, VAE, install/import, and model-loading issues. No soft edge pair looks like the same underlying change or bug.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue stands out because the cluster is heterogeneous and the items do not share a single underlying bug or feature request.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "No single issue is a good global representative; the tickets span many unrelated code paths and products, so any one choice would be arbitrary.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:6363", "right": "issue:6812", "accept": false, - "reason": "Both are training-time errors, but one is FP16 unscale failure in text-to-image LoRA and the other is a Q/K/V dtype mismatch in LoRA; different code paths and fixes." + "reason": "Both are training-time errors, but one is FP16 unscale in LoRA while the other is a Q/K/V dtype mismatch; different failure modes and code paths." }, { "left": "issue:1363", "right": "issue:746", "accept": false, - "reason": "One is an ONNX long-prompt scheduler error; the other is an onnx revision loading problem for an img2img pipeline. Same broad area, different failures." + "reason": "Both involve ONNX/import-style problems, but one is a scheduler mismatch in an LPW community pipeline and the other is an ONNX revision loading issue for img2img; not the same bug." }, { "left": "issue:1546", "right": "issue:6055", "accept": false, - "reason": "Truncation handling in batched StableDiffusionPipeline inputs is unrelated to an accelerate error." + "reason": "Different problems: truncation warning causing batched-input errors versus a generic accelerate error; no shared concrete code-path." }, { "left": "issue:5605", "right": "issue:7675", "accept": false, - "reason": "Both are feature requests, but for unrelated capabilities: SDXL Dreambooth captions vs MLX quantized linear support." + "reason": "One is SDXL DreamBooth caption support, the other is MLX quantized linear support; feature requests for different subsystems." }, { "left": "issue:11033", "right": "issue:13001", "accept": false, - "reason": "Both involve loading issues, but for different model types and failures: SD1.5 single-file UNet vs Flux2.Klein GGUF shape mismatch." + "reason": "Both are model-loading issues, but one is SD1.5 UNet single-file loading and the other is Flux2.Klein GGUF shape mismatch; different models and loaders." }, { "left": "issue:6520", "right": "issue:9630", "accept": false, - "reason": "Training validation blanks and a Flux-ControlNet single-GPU training config error are different bugs." + "reason": "Both affect training/validation flows, but one is blank validation output in T2I adapter training and the other is a multi-GPU/single-GPU ControlNet configuration error; unrelated root causes." }, { "left": "issue:12501", "right": "issue:13298", "accept": false, - "reason": "A VAE decoder graph-break issue and a CUDA generator-device bug are not the same code-path problem." + "reason": "One reports a VAE decoder graph break, the other a CUDA generator-device bug during image generation; not the same code path." }, { "left": "issue:4804", "right": "issue:4830", "accept": false, - "reason": "Dictionary mutation during LoRA loading and MultiControlNet tensor-size mismatch are distinct failures." + "reason": "Both are LoRA/ControlNet related runtime issues, but one is a dictionary mutation bug in LoraLoaderMixin and the other is a MultiControlNet tensor-size mismatch; distinct failures." }, { "left": "issue:3279", "right": "issue:7751", "accept": false, - "reason": "DreamBooth LoRA checkpoint resume errors and AnimateDiff conversion errors are unrelated scripts and behaviors." + "reason": "Different conversion/training scripts: DreamBooth LoRA checkpoint resume errors versus AnimateDiff motion-module conversion errors." }, { "left": "issue:5402", "right": "issue:6073", "accept": false, - "reason": "A missing compute_snr import and a beginner dreambooth runtime error do not describe the same defect." + "reason": "Both mention user-facing import/error reports, but one is missing compute_snr and the other is a beginner DreamBooth setup problem; not the same missing symbol or bug." }, { "left": "issue:10896", "right": "issue:9825", "accept": false, - "reason": "SkyReels-A1 portrait animation support and FLUX IPAdapter support are separate feature requests." + "reason": "SkyReels-A1 portrait animation support and FLUX IPAdapter support are separate feature requests for different pipelines." }, { "left": "issue:11824", "right": "issue:9309", "accept": false, - "reason": "Both mention Flux, but one is multi-image input handling in FluxKontextPipeline and the other is a Flux 1 schnell ControlNet bug." + "reason": "Both are Flux pipeline bugs, but one is multi-image input for FluxKontextPipeline and the other is FluxControlNetPipeline on Flux 1 schnell; different pipeline behavior." }, { "left": "issue:1290", "right": "issue:3086", "accept": false, - "reason": "DreamArtist community pipeline and audio-to-image input/output are unrelated." + "reason": "Community DreamArtist request versus an audio-input/output-image issue; unrelated functionality." }, { "left": "issue:3089", "right": "issue:7460", "accept": false, - "reason": "A DDPM scheduler bug and an AdaLayerNorm bug affect different components." + "reason": "Different scheduler/model issues: DDPM scheduler bug versus AdaLayerNorm bug; no shared concrete bug." }, { "left": "issue:3427", "right": "issue:6530", "accept": false, - "reason": "MakeAvid-SD-JAX support and SDXL K-diffusion ControlNet support are separate feature areas." + "reason": "makeavid-sd-jax and SDXL K-diffusion with ControlNet are unrelated feature/support issues in different stacks." }, { "left": "issue:3612", "right": "issue:541", "accept": false, - "reason": "ControlNet creation/preprocessor request and SageMaker support are unrelated." + "reason": "One asks how to create a ControlNet with a specific preprocessor, the other is a SageMaker deployment issue; not the same underlying change." }, { "left": "issue:5570", "right": "issue:6520", "accept": false, - "reason": "Missing compute_snr in training_utils and blank validation outputs in adapter training are different bugs." + "reason": "compute_snr missing from training_utils and blank validation results in adapter training are separate issues with different symptoms and code paths." }, { "left": "issue:5712", "right": "issue:7441", "accept": false, - "reason": "Both are Python 3.12 related, but one is pip install failure on Windows and the other is pytest incompatibility." + "reason": "Windows Python 3.12 pip install failure versus pytest not running on Python 3.12; both platform-related but not the same bug." }, { "left": "issue:6141", "right": "issue:9397", "accept": false, - "reason": "ControlNet control_mode/resize_mode support and SGMUniform scheduler support for Hyper LoRAs are different feature requests." + "reason": "Both are feature requests for scheduler/control support, but one is ControlNet control_mode/resize_mode support and the other is SGMUniform scheduler for Hyper LoRAs; different features." }, { "left": "issue:1604", "right": "issue:3551", "accept": false, - "reason": "lpw_stable_diffusion breakage on diffusers 0.9.0 and xFormers being deactivated by LoRA are separate problems." + "reason": "lpw_stable_diffusion.py breakage on diffusers 0.9.0 is unrelated to LoRA disabling xFormers; different regression and subsystem." }, { "left": "issue:6446", "right": "issue:9320", "accept": false, - "reason": "Colab minimal-loading failure for SD2.1 and custom diffusion save/load issues do not share the same root cause." + "reason": "Colab minimal loading failure for SD 2.1 is unrelated to custom diffusion model save/load behavior." }, { "left": "issue:8551", "right": "issue:8939", "accept": false, - "reason": "VAE device_map placement in inpaint and tokenizer resolution for SD3 medium are unrelated loading errors." + "reason": "Both involve model/device loading, but one is VAE latent device placement with device_map and the other is tokenizer loading for SD3 medium; different component failures." }, { "left": "issue:1857", "right": "issue:259", "accept": false, - "reason": "Poor test coverage for UnCLIP and a progress bar fix are not the same underlying change." + "reason": "General test coverage concern versus a progress bar bug; not the same issue." }, { "left": "issue:1099", "right": "issue:1260", "accept": false, - "reason": "Dreambooth class-name handling and missing DPMSolverMultistepScheduler import are unrelated." + "reason": "DreamBooth class-name configuration issue versus missing DPMSolverMultistepScheduler import; unrelated." } ] }, @@ -64234,10 +64126,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10045", "issue:10231", @@ -64317,12 +64209,12 @@ ], "prepared_review_unit_hash": "50144f2394b09795bff49d9c3d186897831a0c2f3599cfa5c279a9c24bd5ec95", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -64511,10 +64403,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10336", @@ -64592,12 +64484,12 @@ ], "prepared_review_unit_hash": "cd82e7cec942dd5453cfed3ac7b27a7b252d8bf23d375656c0d2b64ace0bce28", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -64780,10 +64672,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10045", "issue:1037", @@ -64862,12 +64754,12 @@ ], "prepared_review_unit_hash": "57a3ba0cb7f56e91dac2d4306132fed908e1d41328bea999e1ecf171e25ddd9f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -65050,10 +64942,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10287", "issue:10511", @@ -65131,12 +65023,12 @@ ], "prepared_review_unit_hash": "21ea6d7c0eb555f692c1c387a546e5521d6c80c037b9ce2289c1cf3f061355ab", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -65322,16 +65214,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10428", "issue:10448", "issue:11050", - "issue:11275", "issue:1141", "issue:11648", "issue:11938", + "issue:12575", "issue:1343", + "issue:13506", "issue:1477", "issue:1519", "issue:1537", @@ -65366,7 +65259,6 @@ "issue:7661", "issue:7841", "issue:817", - "issue:8463", "issue:8759", "issue:9047", "issue:9241", @@ -65387,6 +65279,7 @@ "issue:7519|issue:7841", "issue:9241|issue:9899", "issue:5515|issue:5553", + "issue:12575|issue:13506", "issue:1519|issue:1537", "issue:1477|issue:2440", "issue:11938|issue:9047", @@ -65396,181 +65289,180 @@ "issue:2737|issue:3986", "issue:2772|issue:4593", "issue:3043|issue:3073", - "issue:4213|issue:6321", - "issue:11275|issue:8463" + "issue:4213|issue:6321" ], - "prepared_review_unit_hash": "9d87e5b3e8d829e801f68e9407e3196e765f423b5f95538b57693e872074fb3a", + "prepared_review_unit_hash": "d52c17c7d3c27a2a79fc5355fcf76f0564e92c464ce401baedc3f9f506241f35", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33643, - "estimated_input_tokens": 8411, - "estimated_eval_tokens": 17078 + "serialized_chars": 33587, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are mostly unrelated issues; the soft pairs are title-similar but do not look like the same underlying bug or change. No PRs are present. If one issue must act as a representative anchor, the broad model-loading report is the best fit.", - "confidence": 0.35, - "canonical_issue_reason": "Issue 5553 is the broadest, most generally representative bug report in the set: a concrete DiffusionPipeline model-loading failure that could plausibly attract related duplicate reports.", + "summary": "Mostly unrelated issues were clustered together by superficial text similarity. All soft pairs look like false positives; there is no shared underlying bug/change to merge.", + "confidence": 0.97, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 5553 is the best single issue to keep as the cluster anchor because it is concrete, user-facing, and general enough to represent the nearest shared theme in this otherwise heterogeneous set.", + "best_issue_reason": "No true canonical issue exists; if one must be chosen, issue:5553 is the broadest model-loading report, but it does not explain the rest of the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:2203", "right": "issue:817", "accept": false, - "reason": "Different problems: download location behavior vs mixed-precision DreamBooth training." + "reason": "Different problems: download location/path handling vs mixed-precision training." }, { "left": "issue:3694", "right": "issue:7012", "accept": false, - "reason": "Different failures: missing model/config files in training setup vs v-prediction image quality issues." + "reason": "Training example file lookup failure vs image quality/regression in v-prediction." }, { "left": "issue:10428", "right": "issue:9299", "accept": false, - "reason": "Both mention Flux, but one is an Ascend NPU inference error and the other is a Flux CUDAGraphs feature/request about position embeddings." + "reason": "Both mention Flux, but one is Ascend NPU inference and the other is CUDA graph position embeddings; different code paths." }, { "left": "issue:10448", "right": "issue:11648", "accept": false, - "reason": "Unrelated: DDUF mmap loading vs loading LoRA weights with an fp8 transformer model." + "reason": "DDUF mmap loading vs LoRA loading with FP8 transformer models; unrelated." }, { "left": "issue:1141", "right": "issue:4912", "accept": false, - "reason": "Related to custom/local model handling in a broad sense, but not the same code-path or bug." + "reason": "Local files in custom pipelines vs converting SDXL checkpoints; not the same bug." }, { "left": "issue:1343", "right": "issue:2518", "accept": false, - "reason": "Both involve xformers, but one is enabling it by default and the other is adding support in a specific training script." + "reason": "Default xformers enablement vs missing xformers support in one training script; different changes." }, { "left": "issue:201", "right": "issue:2377", "accept": false, - "reason": "Completely different: attention-class tests vs EMAModel tests." + "reason": "Attention-class tests vs EMAModel tests; unrelated test work." }, { "left": "issue:2161", "right": "issue:2552", "accept": false, - "reason": "Different topics: inpainting LoRA training vs an inpainting pipeline tutorial question." + "reason": "LoRA training on inpainting models vs tutorial/question about inpaint pipeline documentation." }, { "left": "issue:5731", "right": "issue:6463", "accept": false, - "reason": "Different components: AutoencoderKL decoder logvar bug vs missing audio_diffusion pipeline." + "reason": "AutoencoderKL logvar implementation vs missing audio_diffusion pipeline; unrelated." }, { "left": "issue:6561", "right": "issue:7661", "accept": false, - "reason": "Both mention IP-Adapter, but one is a missing-file load error and the other is feature support for combining it with AnimateDiff." + "reason": "Missing IP-Adapter config file vs animate-diff integration with IP-Adapter; different defects." }, { "left": "issue:7519", "right": "issue:7841", "accept": false, - "reason": "Different issues: xformers attention kwargs warning vs red-dot rendering artifacts in XL output." + "reason": "XFormers scale kwarg handling vs SDXL red-dot rendering artifact; not the same bug." }, { "left": "issue:9241", "right": "issue:9899", "accept": false, - "reason": "Both are conversion scripts, but they target different conversion directions and artifacts." + "reason": "Different conversion utilities: XLab LoRA conversion vs transformer-to-checkpoint conversion." }, { "left": "issue:5515", "right": "issue:5553", "accept": false, - "reason": "Both are pipeline-loading problems, but they are distinct failures with different triggers and fixes." + "reason": "Scheduler-less LCM pipeline init failure vs custom model loading failure; both loading-related but distinct." + }, + { + "left": "issue:12575", + "right": "issue:13506", + "accept": false, + "reason": "Chroma attention-backend checks vs Sage attention with ring-attention; different backend errors." }, { "left": "issue:1519", "right": "issue:1537", "accept": false, - "reason": "Both are Apple MPS-related, but one is noisy batch output and the other is scheduler compatibility." + "reason": "Apple M2 noisy batch output vs Apple MPS scheduler behavior; different pipeline issues." }, { "left": "issue:1477", "right": "issue:2440", "accept": false, - "reason": "Different CUDA/float16 failures with no clear shared code-path." + "reason": "CUBLAS invalid value in batched GEMM vs float16 inpainting model load error; not the same failure." }, { "left": "issue:11938", "right": "issue:9047", "accept": false, - "reason": "Unrelated: RMSNorm submodule registration vs Flux not working on MPS devices." + "reason": "RMSNorm registration bug vs Flux failing on MPS; unrelated." }, { "left": "issue:11050", "right": "issue:8759", "accept": false, - "reason": "Both are dtype-related, but one is missing weight casting in training and the other is a runtime warning in image casting." + "reason": "Training dtype casting bug in a ControlNet example vs SD3 image_processor cast warning; different locations and symptoms." }, { "left": "issue:2784", "right": "issue:4846", "accept": false, - "reason": "Feature request for text-to-video DreamBooth vs a separate report of strange DreamBooth training results." + "reason": "Feature request for text2video Dreambooth vs strange Dreambooth training result; not a duplicate." }, { "left": "issue:4488", "right": "issue:6742", "accept": false, - "reason": "Unrelated: SDXL checkpoint conversion/load issue vs MotionBlock checkpointing behavior." + "reason": "SDXL checkpoint loading without pipeline_class vs motion block checkpointing differences; unrelated." }, { "left": "issue:2737", "right": "issue:3986", "accept": false, - "reason": "Different feature requests for different pipelines/schedulers." + "reason": "Scheduler CLIP-guidance support vs mesh output support in ShapEPipeline; different features." }, { "left": "issue:2772", "right": "issue:4593", "accept": false, - "reason": "Different issues: local dataset handling in ControlNet training vs LoRA rank/loading error." + "reason": "Local dataset validation bug in training script vs LoRA rank-loading error; unrelated." }, { "left": "issue:3043", "right": "issue:3073", "accept": false, - "reason": "Separate feature requests for different model families." + "reason": "Two separate feature requests for different models, not the same change." }, { "left": "issue:4213", "right": "issue:6321", "accept": false, - "reason": "Unrelated: SDXL single-file loading without accelerate vs CLIP model detection failure." - }, - { - "left": "issue:11275", - "right": "issue:8463", - "accept": false, - "reason": "Different NoneType errors in different subsystems: VAE upsample vs tokenizer access." + "reason": "SDXL from_single_file accelerate dependency vs CLIP model detection failure; unrelated loading problems." } ] }, @@ -65592,9 +65484,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10757", + "issue:11275", "issue:1188", "issue:11922", "issue:12653", @@ -65611,7 +65504,6 @@ "issue:3422", "issue:3487", "issue:3582", - "issue:3771", "issue:3829", "issue:3974", "issue:4171", @@ -65632,18 +65524,19 @@ "issue:6530", "issue:6928", "issue:7061", - "issue:7080", "issue:7421", "issue:7568", "issue:7877", "issue:7985", "issue:8234", + "issue:8463", "issue:9062", "issue:9511", "issue:9611", "issue:9889" ], "soft_pairs": [ + "issue:11275|issue:8463", "issue:2326|issue:4764", "issue:3377|issue:4304", "issue:3422|issue:6928", @@ -65666,181 +65559,180 @@ "issue:4194|issue:4436", "issue:4913|issue:6530", "issue:1895|issue:1969", - "issue:3222|issue:4185", - "issue:3771|issue:7080" + "issue:3222|issue:4185" ], - "prepared_review_unit_hash": "6ecfafa8e59d9d248e76f05708dfc32ec0bcc21c86eafd174234eed733685220", + "prepared_review_unit_hash": "75054b666d0b614e537ad451613fc6a10e3749663cebd12f9993504e18dfb37c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33791, - "estimated_input_tokens": 8448, - "estimated_eval_tokens": 17152 + "serialized_chars": 33836, + "estimated_input_tokens": 8459, + "estimated_eval_tokens": 17174 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a set of mostly unrelated issues that only share broad keywords. None of the soft pairs look like the same underlying bug/change, so there is no true canonical duplicate target here.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue is a valid canonical duplicate target because the items span unrelated bugs/features and do not form one coherent problem cluster.", - "canonical_pr_reason": "No pull requests are present in this cluster.", - "best_issue_reason": "No issue is especially suitable as a global canonical representative; the cluster is too heterogeneous for any one issue to stand in for the rest.", - "best_pr_reason": "No pull requests are present.", + "summary": "The list is a grab bag of unrelated bug reports and feature requests. The soft-similarity pairs are mostly superficial keyword matches; none look like the same underlying issue or change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11275", + "right": "issue:8463", + "accept": false, + "reason": "Both are runtime errors, but they affect different code paths: VAE ResnetUpsampleBlock2D addition vs InstructP2P-SDXL tokenizer handling." + }, { "left": "issue:2326", "right": "issue:4764", "accept": false, - "reason": "Both mention LoRA conversion/loading, but one is about export to safetensors/ckpt and the other about loading a specific OFT-generated LoRA; different failure modes." + "reason": "Both mention LoRA conversion/loading, but one is about conversion to safetensors/ckpt and the other about loading a specific OFT-generated LoRA file." }, { "left": "issue:3377", "right": "issue:4304", "accept": false, - "reason": "Training SNR weighting and SDXL text-to-image LoRA support are unrelated changes." + "reason": "Training-related topics, but one asks about SNR weighting optimization and the other is a request for SDXL LoRA support." }, { "left": "issue:3422", "right": "issue:6928", "accept": false, - "reason": "Safety checker disabling and Marigold depthmap colorization are different features in different pipelines." + "reason": "Both are about pipeline options, but disabling the safety checker is unrelated to adding a depthmap colorization toggle." }, { "left": "issue:3829", "right": "issue:7421", "accept": false, - "reason": "Both involve determinism/seed behavior, but they target different pipelines and different symptoms." + "reason": "Both involve determinism/seed behavior, but one is ONNX EulerAncestral output variance and the other is KDiffusion pipeline seed handling." }, { "left": "issue:4171", "right": "issue:7061", "accept": false, - "reason": "A website reference-page rendering bug and an incorrect docstring are not the same bug/change." + "reason": "These are documentation issues, but they concern different pages and different defects: homepage reference rendering vs an incorrect community pipeline docstring." }, { "left": "issue:5150", "right": "issue:6383", "accept": false, - "reason": "One is missing from_single_file support; the other asks for multi-stage learning-rate scheduling." + "reason": "One is missing a pipeline method, the other is about scheduler learning-rate support; not the same bug." }, { "left": "issue:5968", "right": "issue:6412", "accept": false, - "reason": "Both touch ONNX, but one is about video conversion scripts and the other about ControlNet annotator export support." + "reason": "Both are conversion/export requests, but text/video ONNX conversion and ControlNet annotator ONNX support are distinct features." }, { "left": "issue:7568", "right": "issue:9889", "accept": false, - "reason": "Prompt-token interpolation behavior and an sdxl-turbo segmentation fault are unrelated defects." + "reason": "Both involve inference behavior, but interpolation token handling is unrelated to an sdxl-turbo segmentation fault under a specific torch version." }, { "left": "issue:7985", "right": "issue:8234", "accept": false, - "reason": "IPAdapter torch.compile incompatibility and ip_adapter_scale dict multiplication are distinct bugs." + "reason": "IPAdapter-related issues, but one is a torch.compile incompatibility and the other is a scale-argument type error with IPAdapter Plus." }, { "left": "issue:2571", "right": "issue:5849", "accept": false, - "reason": "Both involve accelerate/training, but one is an import error and the other is a CLI/main signature mismatch." + "reason": "Both are import/CLI failures, but they stem from different causes: accelerate ProjectConfiguration import breakage vs a missing args parameter in an SDXL LoRA training entrypoint." }, { "left": "issue:12653", "right": "issue:13015", "accept": false, - "reason": "Both are NPU/device-related, but one is a rope dtype issue and the other is a tensor device mismatch in a different model path." + "reason": "Both are device/dtype portability problems, but one is a float64 rope reference breaking MPS and the other is an NPU tensor device mismatch in QwenImageEditPlus." }, { "left": "issue:1188", "right": "issue:321", "accept": false, - "reason": "Community pipeline requests for different concepts; not the same pipeline or bug." + "reason": "Different feature requests: adding a CLIPSeg+Stable Diffusion pipeline versus a community blended diffusion request." }, { "left": "issue:1992", "right": "issue:201", "accept": false, - "reason": "A refactoring discussion and a test request are not duplicate reports of one defect." + "reason": "One is a JAX attention refactor question, the other is a tests request for an attention class; not the same underlying change." }, { "left": "issue:3487", "right": "issue:3582", "accept": false, - "reason": "Both concern inpaint strength, but one is scheduler-related poor results and the other is ControlNet inpaint with strength=1 failing." + "reason": "Both involve inpaint strength behavior, but one reports poor results with a scheduler and the other says strength=1 does not work in ControlNet inpaint." }, { "left": "issue:3974", "right": "issue:5168", "accept": false, - "reason": "Safetensors loading support and ControlNet-XS support are separate feature/bug requests." + "reason": "Both mention ControlNet, but one is safetensors loading support and the other is ControlNet-XS support; different features." }, { "left": "issue:6141", "right": "issue:9511", "accept": false, - "reason": "ControlNet parameter support and multi-controlnet batching are different enhancements." + "reason": "Both are about ControlNet options, but control_mode/resize_mode support is unrelated to multi-controlnet batching." }, { "left": "issue:11922", "right": "issue:9611", "accept": false, - "reason": "Both are FLUX issues, but one is a generic running problem and the other is a specific batching error." + "reason": "Both are Flux pipeline problems, but one is a generic FLUX.1-Fill-dev run issue and the other is a specific batching error in img2img/inpaint pipelines." }, { "left": "issue:5605", "right": "issue:7877", "accept": false, - "reason": "SDXL dreambooth caption support and Attention out_dim support are unrelated changes." + "reason": "Both request pipeline/block extensions, but 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 and a missing StableAudioPipeline import are unrelated." + "reason": "Both are about names/imports, but one is a variable rename in a conversion script and the other is an import failure for StableAudioPipeline." }, { "left": "issue:4194", "right": "issue:4436", "accept": false, - "reason": "Both involve VAE/single-file conversion, but one is a loading failure and the other is conversion of CIVITAI safetensors with VAE." + "reason": "Both are conversion/loading issues, but from_single_file VAE behavior and converting CIVITAI safetensors with VAE are different problems." }, { "left": "issue:4913", "right": "issue:6530", "accept": false, - "reason": "ControlNet OpenPose SDXL and SDXL K-diffusion with ControlNet are different feature/support requests." + "reason": "Both mention ControlNet/SDXL, but one is a model/pipeline request and the other is about K-diffusion support with ControlNet." }, { "left": "issue:1895", "right": "issue:1969", "accept": false, - "reason": "EMA multi-GPU update logic and a tensor view/stride runtime error are different bugs." + "reason": "Both are runtime/training errors, but EMA multi-GPU update logic and tensor view/stride compatibility are unrelated." }, { "left": "issue:3222", "right": "issue:4185", "accept": false, - "reason": "Custom diffusion output file missing and SDXL ControlNet black images are unrelated issues." - }, - { - "left": "issue:3771", - "right": "issue:7080", - "accept": false, - "reason": "CKPT-to-diffusers inference failure and SDXL ControlNet train/inference divergence are different conversion/training problems." + "reason": "Both involve inpainting/control-related behavior, but missing custom diffusion output files and SDXL ControlNet black-image inference are not the same bug." } ] }, @@ -65862,7 +65754,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10194", "issue:10311", @@ -65889,6 +65781,7 @@ "issue:2883", "issue:3336", "issue:3591", + "issue:3771", "issue:3826", "issue:3975", "issue:4217", @@ -65904,16 +65797,16 @@ "issue:5605", "issue:5719", "issue:696", - "issue:7191", + "issue:7080", "issue:7408", "issue:834", "issue:8752", "issue:9063", "issue:911", - "issue:9181", "issue:9188" ], "soft_pairs": [ + "issue:3771|issue:7080", "issue:10653|issue:11989", "issue:2645|issue:4826", "issue:4782|issue:4815", @@ -65936,181 +65829,180 @@ "issue:1643|issue:696", "issue:460|issue:834", "issue:5002|issue:5166", - "issue:1831|issue:4551", - "issue:7191|issue:9181" + "issue:1831|issue:4551" ], - "prepared_review_unit_hash": "f384aa59f71f761849b35c1270658cbf683378182570656a167f9868f6cc6595", + "prepared_review_unit_hash": "7cf54367f6b8de04ea1cb2e501b0db05c9dd61343c6f903acdb353aa5e9b3698", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33604, - "estimated_input_tokens": 8401, - "estimated_eval_tokens": 17058 + "serialized_chars": 33643, + "estimated_input_tokens": 8411, + "estimated_eval_tokens": 17078 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These look like unrelated issues across different models, pipelines, schedulers, and error classes. The soft pairs are mostly broad topical similarity, not the same underlying bug/change, so none should be merged as duplicates.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This cluster is not a true duplicate set; it mixes many unrelated feature requests and bugs across Dreambooth, ControlNet, schedulers, Flux, video pipelines, and loading/import errors. Most soft pairs share only very broad subsystem words and should not be merged.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10194 is the broadest, still-open request in the set and best serves as a loose representative for the Flux-related subset, though the cluster overall is heterogeneous.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "10194 is the most general and current issue among the items; it is a reasonable anchor only because no tighter canonical duplicate exists.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3771", + "right": "issue:7080", + "accept": false, + "reason": "Both mention inference/output problems, but they concern different pipelines and failure modes; not the same bug." + }, { "left": "issue:10653", "right": "issue:11989", "accept": false, - "reason": "8bit-to-CPU movement error vs black output during inference; different failure modes and code paths." + "reason": "An 8-bit .to(cpu) limitation and a black-image rendering issue are unrelated symptoms in different code paths." }, { "left": "issue:2645", "right": "issue:4826", "accept": false, - "reason": "Mac M1 CUDA assertion vs MultiControlNet reference errors; both ControlNet-related but not the same bug." + "reason": "Both are ControlNet-related, but one is a Mac/CUDA assertion and the other is a MultiControlNet/reference error; different bugs." }, { "left": "issue:4782", "right": "issue:4815", "accept": false, - "reason": "Masking bug in inpainting vs a feature request for latents-only inputs; related area, different change." + "reason": "Inpainting mask corruption and latents-only input support are different change requests, not the same underlying issue." }, { "left": "issue:10194", "right": "issue:9188", "accept": false, - "reason": "Flux attention masking support vs Flux outpainting; distinct feature requests." + "reason": "Both are Flux-related feature requests, but attention masking and outpainting are distinct capabilities." }, { "left": "issue:10311", "right": "issue:11218", "accept": false, - "reason": "Different import errors involving different symbols and files." + "reason": "These are separate import errors involving different modules and missing symbols." }, { "left": "issue:10893", "right": "issue:13053", "accept": false, - "reason": "Separate feature requests for different pipelines/models." + "reason": "Unrelated model-support feature requests for different pipelines." }, { "left": "issue:1594", "right": "issue:2883", "accept": false, - "reason": "Both concern video generation, but one is img2img support and the other is a general image-to-video pipeline; not the same concrete request." + "reason": "Both concern video generation, but one asks for img2img support and the other for an image-to-video pipeline; not the same request." }, { "left": "issue:1976", "right": "issue:911", "accept": false, - "reason": "Tokenizer config lookup error vs a bad Dreambooth config report; not the same issue." + "reason": "Both are config-related, but one is a tokenizer file lookup error and the other is a Dreambooth bad-config report." }, { "left": "issue:2311", "right": "issue:3336", "accept": false, - "reason": "Different scheduler implementations and different requested behavior." + "reason": "Different scheduler feature requests; they are not the same algorithm or code-path change." }, { "left": "issue:3826", "right": "issue:7408", "accept": false, - "reason": "Completely different new pipeline proposals." + "reason": "Both are new pipeline requests, but for entirely different pipelines and use cases." }, { "left": "issue:1062", "right": "issue:1730", "accept": false, - "reason": "Dreambooth reproducibility complaint vs CKPT conversion/webui compatibility problem." + "reason": "Dreambooth-related, but one is about reproducing paper results and the other about CKPT conversion/webui inference." }, { "left": "issue:10705", "right": "issue:9063", "accept": false, - "reason": "Pipeline reuse performance degradation vs tokenizer instantiation/import error; different bugs." + "reason": "Pipeline reuse slowdown and Flux tokenizer instantiation errors are unrelated." }, { "left": "issue:12412", "right": "issue:13191", "accept": false, - "reason": "Support requests for different models/pipelines." + "reason": "Separate support requests for different model families; no shared bug or change." }, { "left": "issue:2875", "right": "issue:3591", "accept": false, - "reason": "Training NaNs vs confusing ControlNet loss curve; not the same failure." + "reason": "Training loss instability and ControlNet loss-curve confusion are different problems." }, { "left": "issue:4376", "right": "issue:8752", "accept": false, - "reason": "Textual inversion crash in SDXL vs offline from_single_file loading; different problems." + "reason": "Both are SDXL pipeline issues, but one is textual inversion crashing and the other is offline from_single_file loading." }, { "left": "issue:4217", "right": "issue:4773", "accept": false, - "reason": "Slow safetensors loading vs LoRA loading issue; same subsystem, different concrete bug." + "reason": "Both involve loading, but one is safetensors load time and the other is CivitAI LoRA loading; different issues." }, { "left": "issue:10891", "right": "issue:12141", "accept": false, - "reason": "Both are dtype/precision problems, but they affect different pipelines and conversion paths." + "reason": "Both mention bfloat16, but they affect different models/pipelines and likely different dtype handling paths." }, { "left": "issue:2841", "right": "issue:5605", "accept": false, - "reason": "Scheduler temperature feature vs per-image caption support; unrelated requests." + "reason": "Unrelated feature requests: scheduler sampling temperature vs SDXL Dreambooth captions." }, { "left": "issue:3975", "right": "issue:5719", "accept": false, - "reason": "Error-message typo vs file-discovery order in LoRA loading; not duplicates." + "reason": "A typo in an error message and LoRA file-selection logic are unrelated." }, { "left": "issue:1643", "right": "issue:696", "accept": false, - "reason": "xFormers API argument error vs Dreambooth OOM; unrelated bugs." + "reason": "Both are Dreambooth reports, but one is an xFormers API mismatch and the other is CUDA OOM." }, { "left": "issue:460", "right": "issue:834", "accept": false, - "reason": "ONNX runtime package selection vs CPU under-utilization; not the same issue." + "reason": "One is an ONNX runtime dependency problem; the other is a generic CPU utilization complaint." }, { "left": "issue:5002", "right": "issue:5166", "accept": false, - "reason": "Missing scheduler arg vs missing VQ-VAE scaling factor; different components." + "reason": "Different scheduler/VQ-VAE issues with no shared concrete bug." }, { "left": "issue:1831", "right": "issue:4551", "accept": false, - "reason": "Class-image precision mismatch vs SDXL Dreambooth crash; both Dreambooth-related but distinct failures." - }, - { - "left": "issue:7191", - "right": "issue:9181", - "accept": false, - "reason": "Generic import problem vs ControlNet visual artifact; unrelated." + "reason": "Both involve Dreambooth, but one is class-image precision mismatch and the other is an SDXL Dreambooth crash." } ] }, @@ -66132,16 +66024,14 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10227", - "issue:1033", "issue:10710", "issue:10928", "issue:1106", "issue:1156", "issue:1478", - "issue:1572", "issue:1657", "issue:1805", "issue:1909", @@ -66173,6 +66063,7 @@ "issue:6513", "issue:684", "issue:713", + "issue:7191", "issue:7276", "issue:7390", "issue:7454", @@ -66181,9 +66072,11 @@ "issue:8588", "issue:8671", "issue:9078", + "issue:9181", "issue:9241" ], "soft_pairs": [ + "issue:7191|issue:9181", "issue:5412|issue:5984", "issue:7390|issue:8228", "issue:1156|issue:684", @@ -66206,187 +66099,186 @@ "issue:8588|issue:8671", "issue:1478|issue:5953", "issue:4704|issue:7276", - "issue:3963|issue:4727", - "issue:1033|issue:1572" + "issue:3963|issue:4727" ], - "prepared_review_unit_hash": "d52959d02bf4b735be640691626e31dd9a15841946a399a1db8ccbe625ed602f", + "prepared_review_unit_hash": "0bd595aef088b0df683159f90193218d8302542a550451a593d6cc804a983d2a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33797, - "estimated_input_tokens": 8450, - "estimated_eval_tokens": 17156 + "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 mostly heterogeneous issue reports across LoRA, SDXL, ControlNet, training, conversion, and pipeline loading. Only one pair looks like the same concrete bug: the scheduler/generator mismatch in 1909 and 2083.", - "confidence": 0.31, - "canonical_issue_reason": "Issue 1909 is the best canonical anchor because it states the general scheduler/generator bug, and 2083 reads like a specific manifestation of that same problem. The rest of the cluster is too mixed to support a broader canonical issue.", + "summary": "Most pairs are only superficially similar; they concern different models, pipelines, or failure modes. The only clear duplicate is the multiple-generator/DDIMScheduler issue pair 1909\u21942083.", + "confidence": 0.92, + "canonical_issue_reason": "issue:1909 is the best canonical issue: it states the broad root problem (pipelines accept a list of generators, but schedulers do not), while issue:2083 is a narrower DDIMScheduler/eta>0 manifestation.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 1909 is the strongest overall representative: it is concrete, well-scoped, and directly overlaps with the only clear duplicate-like pair in the set.", + "best_issue_reason": "issue:1909 is the strongest global representative because it is the most general and actionable description of the shared bug.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7191", + "right": "issue:9181", + "accept": false, + "reason": "Different problems: an import failure versus a ControlNet pipeline artifact/noise issue." + }, { "left": "issue:5412", "right": "issue:5984", "accept": false, - "reason": "Both are train_dreambooth_lora_sdxl issues, but one is resume/checkpoint failure and the other is fp16 RAM usage; different bugs." + "reason": "Both are DreamBooth/SDXL-related, but one is resume_from_checkpoint failure and the other is fp16 RAM usage." }, { "left": "issue:7390", "right": "issue:8228", "accept": false, - "reason": "Both involve from_single_file loading, but the failures are different (ControlNet inpaint pipeline vs CLIPTextModel loading)." + "reason": "Both mention from_single_file, but they describe different load failures on different model components and paths." }, { "left": "issue:1156", "right": "issue:684", "accept": false, - "reason": "Both are training-related, but one is a generic training failure and the other is AMD-specific memory optimization behavior." + "reason": "Generic training failure vs AMD memory-optimization problems; no shared concrete bug." }, { "left": "issue:10227", "right": "issue:10710", "accept": false, - "reason": "LoRA unsupported-feature error vs DDUF format support question; unrelated issues." + "reason": "LoRA feature-support error and DDUF format support are unrelated." }, { "left": "issue:5616", "right": "issue:6427", "accept": false, - "reason": "Both mention model loading/conversion, but they describe different workflows and different breakages." + "reason": "Both are model conversion/loading complaints, but they target different workflows and failure points." }, { "left": "issue:10928", "right": "issue:8495", "accept": false, - "reason": "Missing fp16 UNet file error vs SD3 tokenizer enum parse error; unrelated failures." + "reason": "Missing fp16 weight file versus SD3 tokenizer enum parsing error; unrelated." }, { "left": "issue:1106", "right": "issue:2480", "accept": false, - "reason": "PNDM repeated UNet calls is unrelated to DreamBooth checkpoint directory structure." + "reason": "Repeated UNet calls in PNDM is unrelated to a DreamBooth script checkpoint folder issue." }, { "left": "issue:1657", "right": "issue:5476", "accept": false, - "reason": "Kaggle notebook request vs xformers loading compatibility question; not the same bug or change." + "reason": "Kaggle examples request versus xformers portability question; not the same bug or change." }, { "left": "issue:1805", "right": "issue:322", "accept": false, - "reason": "A scalable diffusion pipeline request and a V-Diffusion reference are not the same underlying issue." + "reason": "Different feature requests for different diffusion approaches." }, { "left": "issue:1909", "right": "issue:2083", "accept": true, - "reason": "Both describe the same generator/scheduler mismatch: multiple generators are passed from pipelines, but DDIMScheduler with eta>0 only accepts a single generator." + "reason": "Same underlying bug: multiple generators are passed through pipelines, but DDIMScheduler/eta>0 handling only supports a single generator." }, { "left": "issue:2214", "right": "issue:2769", "accept": false, - "reason": "NSFW filtering on 2.1 is unrelated to model round-trip conversion corruption." + "reason": "NSFW filter regression is unrelated to conversion round-tripping breaking a model." }, { "left": "issue:2277", "right": "issue:6093", "accept": false, - "reason": "Wrong-length attention_head_dim is unrelated to the push_to_hub repo-creation behavior." + "reason": "UNet config length validation issue versus push_to_hub behavior in a training script." }, { "left": "issue:2447", "right": "issue:713", "accept": false, - "reason": "A LoRA-specific error and a generic training error are too broad to be duplicates." + "reason": "LoRA-specific error versus generic training error; too little concrete overlap." }, { "left": "issue:3113", "right": "issue:4042", "accept": false, - "reason": "Both involve control/composition ideas, but they are different feature requests and not the same concrete bug." + "reason": "Both involve conditioning/control features, but they are distinct feature requests with different goals." }, { "left": "issue:3564", "right": "issue:6372", "accept": false, - "reason": "Uni-ControlNet support and SVD+ControlNet are different pipeline feature requests." + "reason": "Uni-ControlNet support and SVD+ControlNet are different pipeline features." }, { "left": "issue:4349", "right": "issue:6201", "accept": false, - "reason": "Both touch prompt_embeds handling, but one is about missing text_encoder with encoded prompts and the other about avoiding prompt encoding when prompts are absent." + "reason": "Both touch prompt_embeds handling, but they affect different pipelines and different logic paths." }, { "left": "issue:4638", "right": "issue:9078", "accept": false, - "reason": "Textual inversion on SDXL and Flux LoRA loading are different model/support problems." + "reason": "Textual inversion on SDXL and Flux LoRA loading are unrelated." }, { "left": "issue:5079", "right": "issue:6513", "accept": false, - "reason": "LyCORIS loading support and T2IAdapter model support are unrelated." + "reason": "LoRA loading support versus T2IAdapter model support are separate feature gaps." }, { "left": "issue:7454", "right": "issue:9241", "accept": false, - "reason": "Generic LoRA support request vs an XLab-to-diffusers conversion script request; not the same underlying change." + "reason": "General LoRA support request versus a LoRA conversion script; not the same concrete change." }, { "left": "issue:8588", "right": "issue:8671", "accept": false, - "reason": "Missing SD3 conversion script and redundant code in a training script are distinct codebase issues." + "reason": "Missing SD3 conversion script and redundant DreamBooth code are unrelated." }, { "left": "issue:1478", "right": "issue:5953", "accept": false, - "reason": "Upscale pipeline output-count limitation and ControlNet image/control_image size mismatch are different bugs." + "reason": "Upscale pipeline output-count bug versus ControlNet image-size mismatch crash." }, { "left": "issue:4704", "right": "issue:7276", "accept": false, - "reason": "Custom diffusion training failure and DreamBooth example network errors are unrelated." + "reason": "Custom diffusion training failure versus DreamBooth example network errors; different scripts and failure modes." }, { "left": "issue:3963", "right": "issue:4727", "accept": false, - "reason": "Auto-downloading weights on Windows and local_files_only behavior are both loading-related but not the same failure mode." - }, - { - "left": "issue:1033", - "right": "issue:1572", - "accept": false, - "reason": "Both concern stable_diffusion_mega, but one is a specific IndexError and the other is a broader img2img/inpainting support complaint; not clearly the same bug." + "reason": "Auto-download on Windows and local_files_only auto-pipeline handling are different download-related issues." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft edge, 1909/2083, is well supported by the titles and clearly reads as the same scheduler/generator limitation. The rejected pairs are mostly appropriately cautious given only title-level evidence, and there is no obvious overstatement." + "feedback": "The conclusions are well grounded in the packet and stay conservative. The 1909\u21942083 pair is clearly the strongest duplicate-like match from the titles, and the other rejected pairs mostly do appear to involve different bugs, workflows, or components. I don\u2019t see any overstatement that would require rejection." }, "evaluator_used": true, "retried": false, @@ -66405,20 +66297,19 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:1033", "issue:10448", "issue:10520", "issue:10798", "issue:10954", "issue:11033", "issue:11307", - "issue:11314", "issue:12037", "issue:12052", "issue:12423", "issue:1246", - "issue:12905", "issue:13034", "issue:1315", "issue:13162", @@ -66457,6 +66348,7 @@ "issue:9942" ], "soft_pairs": [ + "issue:1033|issue:1572", "issue:4806|issue:8373", "issue:10520|issue:8264", "issue:1572|issue:964", @@ -66479,181 +66371,180 @@ "issue:8500|issue:8535", "issue:8708|issue:9686", "issue:8723|issue:9460", - "issue:10448|issue:10954", - "issue:11314|issue:12905" + "issue:10448|issue:10954" ], - "prepared_review_unit_hash": "7cfeb8f03ab7f23673214c78b46986906abea3d895db894b481821c40231d2b4", + "prepared_review_unit_hash": "98a1cf8a7810117c20f10f474855b72d7a240e4d6c7909d70e6294384b2a98a5", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33591, - "estimated_input_tokens": 8398, - "estimated_eval_tokens": 17052 + "serialized_chars": 33045, + "estimated_input_tokens": 8262, + "estimated_eval_tokens": 16780 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate cluster emerges here: the items span many unrelated bugs/features across different models, pipelines, training scripts, and platform-specific failures. I rejected all soft edges because none describe the same concrete bug or change.", - "confidence": 0.86, - "canonical_issue_reason": "No single true canonical issue for the whole set; the collection is heterogeneous. If one representative is needed, issue:12052 is the most concrete and well-documented runtime bug report.", + "summary": "This set is mostly a grab-bag of unrelated issues that only share superficial terms like offloading, loading, device mismatch, or model names. I do not see any true duplicate pairs; all soft links look too weak and cross different code paths or different models.", + "confidence": 0.88, + "canonical_issue_reason": "Issue #12052 is the strongest anchor if one must be chosen: it is concrete, well-scoped, and describes a specific device-mismatch failure in a clearly identified Wan 2.2 + LightX2V offloading path.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12052 is the strongest standalone triage candidate: it has a specific failure mode, clear device-mismatch symptoms, and enough detail to reproduce/debug.", + "best_issue_reason": "#12052 is the most actionable and diagnostic issue in the set, with a clear repro context and failure mode; it is a better representative than the more generic or title-only reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1033", + "right": "issue:1572", + "accept": false, + "reason": "Same broad Stable Diffusion Mega area, but different failure reports: an IndexError versus img2img/inpainting not working. Too weak to be the same bug." + }, { "left": "issue:4806", "right": "issue:8373", "accept": false, - "reason": "Different problems: incorrect parameter typing for UNet2DModel vs an error-message wording issue." + "reason": "One is a type annotation/API issue on UNet2DModel; the other is an incorrect error message. Different bug classes and code paths." }, { "left": "issue:10520", "right": "issue:8264", "accept": false, - "reason": "Different symptoms and contexts: Sana device mismatch vs training stopping at 0%." + "reason": "Runtime device mismatch in Sana 4K is unrelated to a training job stopping at 0%. No clear shared root cause." }, { "left": "issue:1572", "right": "issue:964", "accept": false, - "reason": "Both mention inpainting, but they target different pipelines and failure modes; not the same bug." + "reason": "Both mention inpainting, but one is a StableDiffusion Mega img2img/inpainting failure and the other is a generic inpainting example issue. Not enough evidence for duplication." }, { "left": "issue:10798", "right": "issue:13034", "accept": false, - "reason": "Unrelated subsystems: Flux quantization/device-combo bug vs WanPipeline height/width handling." + "reason": "Completely different topics: Flux quantization/device combinations versus WanPipeline height/width handling." }, { "left": "issue:12037", "right": "issue:13162", "accept": false, - "reason": "Different model families and issues: Wan2.2 LoRA compatibility vs Flux.2-klein-4b LoRA support." + "reason": "Both involve LoRA support, but for different models and different compatibility problems. Not the same concrete bug." }, { "left": "issue:1315", "right": "issue:1375", "accept": false, - "reason": "Import errors are not enough here; one is a missing symbol issue, the other is a regression from PR #1365." + "reason": "Import error from a missing symbol is not the same as a PR allegedly breaking imports; different symptom and likely different root cause." }, { "left": "issue:11033", "right": "issue:12423", "accept": false, - "reason": "Same loader family, but different models and likely different code paths; not the same concrete bug." + "reason": "Both are from_single_file loading issues, but for different models (SD1.5 UNet vs QwenImageTransformer2DModel). Different code paths." }, { "left": "issue:4453", "right": "issue:5574", "accept": false, - "reason": "Different tasks: converting SDXL LoRA weights vs training a subset of UNet attention with LoRA." + "reason": "LoRA conversion for SDXL safetensors is unrelated to training a subset of UNet attention parameters with LoRA." }, { "left": "issue:9902", "right": "issue:9942", "accept": false, - "reason": "Different packaging/install failures: conda version pinning vs pip install of a dev release." + "reason": "A conda version/install problem is not the same as a pip install failure for a diffusers dev version." }, { "left": "issue:5685", "right": "issue:8407", "accept": false, - "reason": "One is a vague scheduler concern; the other is a specific UniPC kwargs compatibility bug." + "reason": "Generic scheduler concerns versus a specific UniPC set_timesteps kwargs compatibility bug. Too broad to merge." }, { "left": "issue:4375", "right": "issue:8880", "accept": false, - "reason": "Different outcomes and likely causes: torch.compile crash vs inference slowdown across versions." + "reason": "Torch 2 compile crash during inference and inference slowdown are different symptoms; no concrete same bug path." }, { "left": "issue:4480", "right": "issue:4726", "accept": false, - "reason": "Completely different bugs: MPS float16 kernel crash vs callback type annotation/problem." + "reason": "MPS kernel crash on Mac M1 with fp16 is unrelated to a callback type issue." }, { "left": "issue:5016", "right": "issue:7322", "accept": false, - "reason": "Training issues in the same general area, but one is text encoder LoRA support and the other is SIGKILL during training." + "reason": "Training text encoders in SDXL LoRA is a functionality bug; SIGKILL during training is a resource/crash symptom. Not the same issue." }, { "left": "issue:4141", "right": "issue:4399", "accept": false, - "reason": "Different code paths: second controlnet behavior in inpainting vs torch compile with CPU offload." + "reason": "Second controlnet handling and torch compile with CPU offload are separate problems in the broader pipeline ecosystem." }, { "left": "issue:1246", "right": "issue:668", "accept": false, - "reason": "Both are training/runtime errors, but they are not the same underlying bug." + "reason": "Both are dreambooth runtime problems, but one is an FP16 gradient/unscale issue and the other is a Colab Tesla T4 runtime error. Not the same bug." }, { "left": "issue:4506", "right": "issue:6201", "accept": false, - "reason": "Related to prompt handling, but one is variable overwrite and the other is conditional prompt encoding when embeds are provided." + "reason": "Both involve prompt embeddings, but one says a variable is overwritten while the other is about not re-encoding when prompt is absent. Different concrete behaviors." }, { "left": "issue:8495", "right": "issue:8593", "accept": false, - "reason": "Different SD3 issues: tokenizer parsing vs CPU bf16 generation quality." + "reason": "SD3 tokenizer parsing error and SD3 bfloat16 CPU noise are unrelated issues." }, { "left": "issue:11307", "right": "issue:12052", "accept": false, - "reason": "Both involve offloading, but they affect different models and distinct failures; not mergeable as one fix." + "reason": "Both mention offloading and device mismatches, but they affect different models and different tensor operations. Not mergeable as one PR-level fix." }, { "left": "issue:1934", "right": "issue:6398", "accept": false, - "reason": "Memory usage complaint vs memory leak report; too vague to treat as the same bug." + "reason": "Memory usage with cpu_offload and a vague memory leak report are too generic and not clearly the same bug." }, { "left": "issue:8500", "right": "issue:8535", "accept": false, - "reason": "Token-limit question vs xformers memory-efficient attention support; unrelated." + "reason": "Token limit questions and enabling xformers memory-efficient attention are unrelated." }, { "left": "issue:8708", "right": "issue:9686", "accept": false, - "reason": "Different SD3 areas: missing dreambooth example config vs ControlNet pipeline bug." + "reason": "Missing SD3 dreambooth config field and a ControlNet pooled_projections bug are different features and code paths." }, { "left": "issue:8723", "right": "issue:9460", "accept": false, - "reason": "One is an initialization failure, the other is a feature request to accept a list of ControlNet models." + "reason": "SD3ControlNetModel initialization failure versus supporting a list of controlnets in the pipeline are different change requests." }, { "left": "issue:10448", "right": "issue:10954", "accept": false, - "reason": "Different loading problems: DDUF mmap loading vs a LoRA load failure for FLUX1.dev." - }, - { - "left": "issue:11314", - "right": "issue:12905", - "accept": false, - "reason": "Unrelated bugs: training script mistake vs incorrect guidance-scale implementation." + "reason": "DDUF mmap loading and FLUX LoRA loading are unrelated model/loading concerns." } ] }, @@ -66675,7 +66566,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10227", "issue:10470", @@ -66684,9 +66575,11 @@ "issue:11093", "issue:11127", "issue:11221", + "issue:11314", "issue:11555", "issue:11648", "issue:12738", + "issue:12905", "issue:13073", "issue:13104", "issue:13286", @@ -66713,10 +66606,8 @@ "issue:6146", "issue:6357", "issue:6372", - "issue:6700", "issue:7054", "issue:7079", - "issue:7640", "issue:7960", "issue:8429", "issue:8493", @@ -66726,6 +66617,7 @@ "issue:9690" ], "soft_pairs": [ + "issue:11314|issue:12905", "issue:10470|issue:11093", "issue:11555|issue:13286", "issue:12738|issue:13073", @@ -66748,181 +66640,180 @@ "issue:1439|issue:525", "issue:1805|issue:321", "issue:7054|issue:8493", - "issue:11648|issue:9690", - "issue:6700|issue:7640" + "issue:11648|issue:9690" ], - "prepared_review_unit_hash": "acfe5f4401b6567f381f11ddbbefed3c72ae6189a66e39ebaeb9f780c9442535", + "prepared_review_unit_hash": "8e485a89b2dbb69cb53e763e7dde7b517ae2478940327a2aac0735639afd6132", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33062, - "estimated_input_tokens": 8266, - "estimated_eval_tokens": 16788 + "serialized_chars": 32993, + "estimated_input_tokens": 8249, + "estimated_eval_tokens": 16754 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate cluster emerges here: the items span unrelated bugs, feature requests, and docs/training issues across different pipelines and subsystems. All soft-similarity pairs look like adjacent-but-distinct reports rather than the same concrete change or bug.", - "confidence": 0.86, - "canonical_issue_reason": null, + "summary": "The cluster is mostly a loose thematic grouping around Flux/torchao, LoRA, and ZImage issues, but the soft pairs do not look like true duplicates; they describe different failure modes, pipelines, or docs/example problems rather than one shared bug.", + "confidence": 0.74, + "canonical_issue_reason": "issue:10470 is the broadest concrete bug report in the set, centered on Flux/torchao inference failure; the other issues are either narrower variants (LoRA, fp8, guidance, batch size) or clearly different subsystems.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:10470 is the best representative issue because it captures the widest underlying Flux/torchao inference problem without being tied to a very specific symptom or example cleanup task.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11314", + "right": "issue:12905", + "accept": false, + "reason": "Both are Z-Image/Flux-style issues, but one is a controlnet training-script mistake and the other is a guidance-scale implementation bug; different code paths and fixes." + }, { "left": "issue:10470", "right": "issue:11093", "accept": false, - "reason": "Both mention TorchAO/Flux-style inference breakage, but one is a specific Flux inference failure and the other is a broken example; not enough evidence of the same code-path bug." + "reason": "Both mention torchao/Flux examples, but one is inference not working and the other is a broken example; too vague to treat as the same concrete bug." }, { "left": "issue:11555", "right": "issue:13286", "accept": false, - "reason": "Device-map auto support and torchao quantization support are different capability gaps, not the same defect." + "reason": "device_map='auto' support is an API/feature request, while torchao>=0.16.0 quantization not supported is a version-compatibility bug; not the same issue." }, { "left": "issue:12738", "right": "issue:13073", "accept": false, - "reason": "Same product family (ZImage), but different failure modes: batch-size assertion vs guidance_scale > 1 handling." + "reason": "Batch-size assertion failure and guidance_scale>1 support are different runtime conditions and different failures." }, { "left": "issue:11221", "right": "issue:7960", "accept": false, - "reason": "Both are training problems, but one is autoencoderkl non-convergence while the other is multi-GPU SDXL training failure." + "reason": "Non-convergence in autoencoderkl training and SDXL multi-GPU training failure are unrelated training problems." }, { "left": "issue:2646", "right": "issue:2663", "accept": false, - "reason": "Tiled VAE index error and safety checker loading failure are unrelated subsystems." + "reason": "Tiled VAE IndexError and safety-checker loading from safetensors are separate components and separate bugs." }, { "left": "issue:6146", "right": "issue:8894", "accept": false, - "reason": "Different training scripts and symptoms; no shared concrete bug in the same code path." + "reason": "Both are training-script complaints, but they concern different scripts and failure modes, not one shared defect." }, { "left": "issue:1918", "right": "issue:2439", "accept": false, - "reason": "DDIM scheduler behavior and inpainting pipeline load/run issues are distinct." + "reason": "DDIM scheduler behavior for a ddpm example is unrelated to inpainting pipeline loading/running issues." }, { "left": "issue:2581", "right": "issue:4086", "accept": false, - "reason": "Checkpoint conversion support and ControlNet training not working on SDXL are different tasks." + "reason": "ControlNet checkpoint conversion and SDXL ControlNet training are different problems with different workflows." }, { "left": "issue:2712", "right": "issue:3694", "accept": false, - "reason": "Config-default warning and missing model/config files are not the same underlying problem." + "reason": "Missing config keys during model init and missing model_index/config files during finetuning are different loading/configuration errors." }, { "left": "issue:272", "right": "issue:4312", "accept": false, - "reason": "Both involve inpainting, but one is K-LMS support and the other is SAG support; separate feature requests." + "reason": "K-LMS support for inpainting and a multi-ControlNet pipeline request are distinct feature requests." }, { "left": "issue:6372", "right": "issue:9387", "accept": false, - "reason": "SVD+ControlNet and MimicMotion are different pipeline requests with no shared bug/change." + "reason": "SVD+ControlNet and MimicMotion are unrelated pipeline feature requests." }, { "left": "issue:10227", "right": "issue:11555", "accept": false, - "reason": "LoRA feature-dimension limitation and device_map auto support are unrelated concerns." + "reason": "LoRA loading into fp8/quantized modules is a concrete model-compatibility error, while device_map='auto' is a pipeline placement feature request." }, { "left": "issue:10950", "right": "issue:8429", "accept": false, - "reason": "Docs being broken and an inference script malfunctioning are different artifacts and fixes." + "reason": "Broken Accelerate docs and a malfunctioning I2VGen-XL inference script are unrelated." }, { "left": "issue:1398", "right": "issue:1519", "accept": false, - "reason": "Both concern Apple Silicon/MPS, but one is broad SD2/MPS support and the other is batch-input noise; not clearly the same bug." + "reason": "Both involve Apple Silicon/MPS, but one is SD2 support and the other is noisy batch outputs on M2; different bugs." }, { "left": "issue:4031", "right": "issue:6357", "accept": false, - "reason": "Standalone safety-checker loading and API-vs-local result differences are unrelated." + "reason": "Local safety-checker loading failure is not the same as API vs local result differences." }, { "left": "issue:11127", "right": "issue:13104", "accept": false, - "reason": "Single-file Flux model incompatibility and a logger name error are unrelated issues." + "reason": "A CivitAI Flux single-file loading problem and an undefined logger error are unrelated issues." }, { "left": "issue:3120", "right": "issue:4282", "accept": false, - "reason": "ControlNet training collapse vs adding Multi-ControlNet support are different topics." + "reason": "Always-same-result ControlNet training and adding a Multi-ControlNet pipeline are different topics." }, { "left": "issue:2500", "right": "issue:969", "accept": false, - "reason": "Meta-tensor copy failures and multi-GPU accelerate test failures do not indicate the same bug." + "reason": "Meta tensor copy errors and multi-GPU accelerator test failures are not the same underlying bug." }, { "left": "issue:10596", "right": "issue:7079", "accept": false, - "reason": "FluxControlPipeline shape error and Transformer2DModel patch/layer_norm error are different failure modes." + "reason": "FluxControlPipeline shape errors and Transformer2DModel patch/norm_type errors are different model-path failures." }, { "left": "issue:1439", "right": "issue:525", "accept": false, - "reason": "Missing transformers attribute and loading images from local disk are unrelated." + "reason": "FeatureExtractionMixin import error and local-disk image loading in a notebook are unrelated." }, { "left": "issue:1805", "right": "issue:321", "accept": false, - "reason": "A scalable diffusion pipeline request and blended diffusion feature request are distinct enhancements." + "reason": "Scalable Diffusion pipeline proposal and Blended Diffusion are different feature ideas." }, { "left": "issue:7054", "right": "issue:8493", "accept": false, - "reason": "Mutating the passed state_dict and failing to load SD3Transformer2DModel weights are separate load-path issues." + "reason": "State-dict mutation in LoraLoaderMixin and SD3Transformer2DModel load errors are different loading bugs." }, { "left": "issue:11648", "right": "issue:9690", "accept": false, - "reason": "LoRA loading with fp8 transformer models and FP8 example cleanup are not the same bug or change." - }, - { - "left": "issue:6700", - "right": "issue:7640", - "accept": false, - "reason": "Attention processor temb-argument handling and smaller-dimension from_single_file runtime errors are unrelated." + "reason": "LoRA weight loading with fp8 transformer models and Flux FP8 example cleanup are not the same bug/change." } ] }, @@ -66944,7 +66835,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10085", "issue:10150", @@ -66976,10 +66867,11 @@ "issue:5821", "issue:5894", "issue:6418", + "issue:6700", "issue:7061", - "issue:7341", "issue:7450", "issue:7490", + "issue:7640", "issue:785", "issue:8803", "issue:8805", @@ -66989,12 +66881,12 @@ "issue:941", "issue:954", "issue:9844", - "issue:9902", "issue:9926", "issue:9958", "issue:9972" ], "soft_pairs": [ + "issue:6700|issue:7640", "issue:5894|issue:9972", "issue:2375|issue:785", "issue:2177|issue:954", @@ -67017,181 +66909,180 @@ "issue:1643|issue:2420", "issue:10150|issue:9844", "issue:1976|issue:3799", - "issue:7061|issue:8876", - "issue:7341|issue:9902" + "issue:7061|issue:8876" ], - "prepared_review_unit_hash": "ecd541681176e3c9c4b0fc4ac2213f06de1973fbf0b0c7645682a7d2b1c5bb57", + "prepared_review_unit_hash": "58841e656c59ab82b0ff87f6657cd9572473638ea440050b46b95581d6d6e098", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33033, - "estimated_input_tokens": 8259, - "estimated_eval_tokens": 16774 + "serialized_chars": 33099, + "estimated_input_tokens": 8275, + "estimated_eval_tokens": 16806 }, "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 or change; the set is a collection of distinct issues across unrelated pipelines, schedulers, training, docs, and performance topics. I picked the most triage-worthy standalone issue as the canonical issue.", - "confidence": 0.89, - "canonical_issue_reason": "issue:5894 is the most active and detailed standalone bug report here, with a concrete runtime failure and substantial discussion, so it is the strongest canonical issue candidate.", + "summary": "This cluster is a mixed bag of unrelated issues; the soft pairs mostly share only a broad subsystem or symptom word, not the same underlying bug. I would not merge any of the candidate pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:3672 is the strongest representative issue in this set: it has the highest discussion/inbound-reference activity and describes a concrete, well-scoped StableDiffusionPipeline concurrency failure.", "canonical_pr_reason": null, - "best_issue_reason": "issue:5894 has the best combination of specificity, open status, and discussion activity, making it the most useful issue to anchor triage for this batch.", + "best_issue_reason": "issue:3672 is the most substantive and high-signal issue here, so it is the best overall issue representative for the cluster.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6700", + "right": "issue:7640", + "accept": false, + "reason": "Different failures: attention-processor temb TypeErrors vs SDXL from_single_file shape/dimension runtime error. Same general area, not the same bug." + }, { "left": "issue:5894", "right": "issue:9972", "accept": false, - "reason": "Both mention buffer problems, but one is a generic invalid buffer size error and the other is a MacOS-specific 10TB buffer allocation request; different failure modes." + "reason": "Both mention buffer sizes, but 5894 is a generic invalid-buffer error while 9972 is a MacOS-specific huge allocation/request issue. Not the same code-path problem." }, { "left": "issue:2375", "right": "issue:785", "accept": false, - "reason": "Missing safe_open and PNDMScheduler performance are unrelated bugs affecting different code paths." + "reason": "safe_open NameError and PNDM scheduler performance are unrelated." }, { "left": "issue:2177", "right": "issue:954", "accept": false, - "reason": "Pretrained AutoencoderKL loading failure is not the same as post-login loading trouble; the symptoms and likely causes differ." + "reason": "AutoencoderKL loading failure vs login/load issue; no shared bug mechanism." }, { "left": "issue:2783", "right": "issue:5462", "accept": false, - "reason": "Both are about img2img, but one requests a ControlNet pipeline and the other requests LCM img2img support; distinct feature requests." + "reason": "Both are img2img-related feature requests, but they target different pipeline additions and are not the same change." }, { "left": "issue:2961", "right": "issue:3455", "accept": false, - "reason": "Different training requests for different models/examples; not the same bug or change." + "reason": "Training-example request for StableUnCLIP vs a separate instruct-pix2pix training request; different features." }, { "left": "issue:3116", "right": "issue:941", "accept": false, - "reason": "One is a KDPM2DiscreteScheduler img2img noise bug at certain steps, the other is an MPS-specific num_images_per_prompt noise issue." + "reason": "Both report noise in img2img, but one is scheduler/inference-step specific and the other is MPS/num_images_per_prompt specific. Distinct bugs." }, { "left": "issue:4148", "right": "issue:4312", "accept": false, - "reason": "Inpainting model config error and a SAG feature request for inpainting/img2img are different issues." + "reason": "SDXL inpainting config error vs SAG support request for inpainting/img2img. Not the same underlying issue." }, { "left": "issue:5283", "right": "issue:6418", "accept": false, - "reason": "Audio/video caption merging is unrelated to stable video diffusion frames collapsing to the first frame." + "reason": "Completely different topics: media track merging vs stable video diffusion frame collapse." }, { "left": "issue:5334", "right": "issue:8803", "accept": false, - "reason": "Accelerate multi-model training support and a duplicate assignment in attention_processor.py are unrelated." + "reason": "Accelerate multi-model training API request vs attention_processor hidden_states duplicate assignment bug. Unrelated." }, { "left": "issue:5821", "right": "issue:7490", "accept": false, - "reason": "Both involve backward, but one is a CUDA training/backward problem and the other is an unspecified backward error; too broad to treat as the same bug." + "reason": "Both mention backward, but one is a CUDA training failure and the other is a generic backward problem. Not enough evidence of the same bug." }, { "left": "issue:8803", "right": "issue:8805", "accept": false, - "reason": "A duplicate assignment in attention_processor.py is not the same as convert_diffusers_to_original_sdxl failing." + "reason": "Attention processor hidden_states bug vs SDXL conversion script failure; different code paths." }, { "left": "issue:1109", "right": "issue:2507", "accept": false, - "reason": "CPU core utilization and safetensors load speed on GPU are different performance topics with different root causes." + "reason": "CPU core utilization issue vs safetensors GPU load slowness; unrelated." }, { "left": "issue:10085", "right": "issue:10475", "accept": false, - "reason": "LyCORIS batch inference/runtime error with skip_guidance_layers is unrelated to SD3 inference image-quality concerns." + "reason": "LyCORIS batch-inference/skip_guidance_layers runtime error vs SD3 inference quality comparison during finetuning. Different problem classes." }, { "left": "issue:3672", "right": "issue:7450", "accept": false, - "reason": "Both mention threading, but one is a StableDiffusionPipeline concurrency failure and the other is AutoencoderKL multi-thread issues; not the same concrete bug." + "reason": "Both are threading-related, but one is StableDiffusionPipeline concurrency and the other is AutoencoderKL multithreading. Not the same concrete bug." }, { "left": "issue:3970", "right": "issue:4061", "accept": false, - "reason": "Prompt embeddings not working and LoRA loading error in SDXL are different problems." + "reason": "SDXL prompt embeddings bug vs SDXL LoRA loading error; same model family, different failure modes." }, { "left": "issue:8970", "right": "issue:8997", "accept": false, - "reason": "MPS black-image output and an EDMDPMSolverMultistepScheduler error in Kolors are distinct failures." + "reason": "Both involve Kolors, but one is black images on MPS and the other is a scheduler usage error. Distinct issues." }, { "left": "issue:12359", "right": "issue:13477", "accept": false, - "reason": "A documentation bug for guidance_scale is unrelated to a callback locals() scope bug." + "reason": "Documentation bug for Chroma guidance_scale vs ErnieImage callback locals() scope bug; unrelated." }, { "left": "issue:10672", "right": "issue:12367", "accept": false, - "reason": "Callback support for pipelines and Qwen-Image Eligen LoRA support are separate feature requests." + "reason": "Callback-on-step-end support request vs Qwen-Image Eligen LoRA support request; different feature work." }, { "left": "issue:9926", "right": "issue:9958", "accept": false, - "reason": "GGUF quantize/speed support and AutoencoderKLTemporalDecoder tiling support are unrelated enhancements." + "reason": "gguf quantize/speedup support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." }, { "left": "issue:1643", "right": "issue:2420", "accept": false, - "reason": "The first is an enable_xformers argument signature error; the second is a broader training problem when xformers is enabled." + "reason": "Both mention xformers, but one is a DreamBooth method-signature error and the other is a LoRA training example issue. Not the same bug." }, { "left": "issue:10150", "right": "issue:9844", "accept": false, - "reason": "Slow loading/inference for SDXL is a performance issue, while NANs from the SDXL VAE encoder are a numerical stability bug." + "reason": "Slow loading/inference for SDXL pipelines vs NaNs from SDXL VAE encoder; different symptoms and likely different causes." }, { "left": "issue:1976", "right": "issue:3799", "accept": false, - "reason": "An incorrect tokenizer/config.json lookup is unrelated to the DDPMScheduler.from_pretrained type inference issue." + "reason": "Incorrect tokenizer file lookup vs incorrect inferred type for scheduler.from_pretrained; unrelated." }, { "left": "issue:7061", "right": "issue:8876", "accept": false, - "reason": "Docstring mismatch for Imagic inference is not the same as PixArt Sigma missing resolution microconditioning." - }, - { - "left": "issue:7341", - "right": "issue:9902", - "accept": false, - "reason": "TorchVersion vs Version comparison error and a stuck Conda version are unrelated." + "reason": "Both are pipeline/doc/config style issues, but they concern different pipelines and different concrete fixes." } ] }, @@ -67213,7 +67104,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10128", "issue:10144", @@ -67234,9 +67125,7 @@ "issue:1363", "issue:1536", "issue:1672", - "issue:1704", "issue:1941", - "issue:1992", "issue:2560", "issue:2988", "issue:3391", @@ -67251,6 +67140,7 @@ "issue:590", "issue:6091", "issue:6906", + "issue:7341", "issue:7428", "issue:7722", "issue:7773", @@ -67262,9 +67152,11 @@ "issue:9495", "issue:954", "issue:967", + "issue:9902", "issue:9936" ], "soft_pairs": [ + "issue:7341|issue:9902", "issue:1363|issue:1536", "issue:1941|issue:954", "issue:10194|issue:12367", @@ -67287,181 +67179,180 @@ "issue:1082|issue:4839", "issue:11000|issue:12620", "issue:11486|issue:8589", - "issue:1249|issue:967", - "issue:1704|issue:1992" + "issue:1249|issue:967" ], - "prepared_review_unit_hash": "8efa264f22849cbec941fec08ae1c5272ed34b7b19c34db3b7b812770d83c7ae", + "prepared_review_unit_hash": "ca75944e1c39f868de19073887a41b7c3b78c6858ba411d041630c1d76655bbe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33814, - "estimated_input_tokens": 8454, - "estimated_eval_tokens": 17164 + "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": "This cluster is mostly a set of unrelated Diffusers issues that only share loose subsystem similarity. None of the soft pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "summary": "This cluster is a set of largely unrelated issue reports; none of the soft pairs look like true duplicates or the same fix/change. Most are only loosely related by broad themes like training scripts, schedulers, or guidance-scale support.", "confidence": 0.95, - "canonical_issue_reason": "Issue 13073 is the strongest canonical candidate: it is a narrow, concrete bug report with a specific pipeline and failure mode (ZImageControlNetPipeline with guidance_scale>1), which makes it a better triage anchor than the broader feature requests and less-specific reports.", + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 13073 is the most actionable issue in the set because it describes a precise, reproducible code-path problem with clear scope.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7341", + "right": "issue:9902", + "accept": false, + "reason": "Different problems: a TorchVersion/Version comparison TypeError vs a Conda version pinning/stuck-version report." + }, { "left": "issue:1363", "right": "issue:1536", "accept": false, - "reason": "Both involve prompt-weight/custom pipeline compatibility, but they target different pipelines and failures; not the same concrete bug." + "reason": "Both involve custom/compatibility issues, but one is ONNX long-prompt weight + LMS scheduler, the other is lpw_stable_diffusion compatibility with newer diffusers." }, { "left": "issue:1941", "right": "issue:954", "accept": false, - "reason": "UnCLIP custom pipeline loading and post-login load failure are unrelated issues." + "reason": "Unrelated failures: custom pipeline loading for UnCLIP vs a login/load-after-login issue." }, { "left": "issue:10194", "right": "issue:12367", "accept": false, - "reason": "Different feature requests for different models/pipelines; no shared code-path bug." + "reason": "Different feature requests for different models/pipelines: Flux attention masking vs Qwen-Image Eligen LoRA support." }, { "left": "issue:1672", "right": "issue:6091", "accept": false, - "reason": "One is wrong image sizing after conversion, the other is a memory issue with a size argument; not a duplicate." + "reason": "Both mention size, but one is image size after conversion and the other is a consistency decoder memory issue with a size argument." }, { "left": "issue:3452", "right": "issue:6906", "accept": false, - "reason": "Both mention dreambooth training, but they are different broken examples with different symptoms." + "reason": "DreamBooth/training-related, but one is a low-VRAM question and the other is a broken LoRA DreamBooth example." }, { "left": "issue:8317", "right": "issue:8708", "accept": false, - "reason": "Both are SD3 training example gaps, but one is missing generator plumbing and the other is missing shift_factor; separate fixes." + "reason": "Both concern SD3/VAE details, but one is a missing generator arg in AsymmetricAutoencoderKL decode and the other is missing shift_factor in training examples." }, { "left": "issue:4159", "right": "issue:5465", "accept": false, - "reason": "Same pipeline family, but one is VRAM usage and the other is inpaint_strength handling; different bugs." + "reason": "Different DiffEdit bugs: excessive VRAM usage vs inpaint_strength only working at 0.8." }, { "left": "issue:8237", "right": "issue:9477", "accept": false, - "reason": "SDXL LoRA key loading and GatheredParameters callable error are unrelated." + "reason": "Different issues: SDXL LoRA key loading vs a GatheredParameters callable error." }, { "left": "issue:4520", "right": "issue:5028", "accept": false, - "reason": "Both mention scale/LoRA behavior, but they affect different implementations and code paths; not safely mergeable." + "reason": "Both mention scale/LoRA, but the failing code paths are different: attention slicing with lora_scale vs SDXL reference pipeline hacked block forward args." }, { "left": "issue:7722", "right": "issue:9495", "accept": false, - "reason": "Both involve IPAdapter, but on different pipelines and with different failure modes." + "reason": "Both involve IPAdapter, but they are different pipelines and likely different bugs." }, { "left": "issue:12540", "right": "issue:13073", "accept": false, - "reason": "Different pipelines and different missing behavior around guidance embeddings vs guidance_scale support." + "reason": "Both are guidance-related, but one is SanaPipeline embeddings support and the other is ZImageControlNetPipeline guidance_scale behavior." }, { "left": "issue:11973", "right": "issue:9936", "accept": false, - "reason": "Different training scripts and different problems: missing CLI arg vs NCCL timeout." + "reason": "Different training issues: missing instance_prompt arg vs NCCL timeout in multi-GPU controlnet training." }, { "left": "issue:2988", "right": "issue:590", "accept": false, - "reason": "Scheduler crash at a boundary condition and a Karras noise-level formula typo are distinct bugs." + "reason": "Both scheduler-related, but one is a crash at equal train/inference steps and the other is a Karras noise formula typo." }, { "left": "issue:3391", "right": "issue:4557", "accept": false, - "reason": "DeepFloyd overexposure and a super().__getattr__ AttributeError are unrelated." + "reason": "Completely unrelated: overexposure in DeepFloyd super-resolution vs a __getattr__ AttributeError." }, { "left": "issue:2560", "right": "issue:3908", "accept": false, - "reason": "Img2Img generator determinism and Streamlit model caching are unrelated concerns." + "reason": "Different domains: deterministic outputs with generator lists vs Streamlit model caching." }, { "left": "issue:10128", "right": "issue:7428", "accept": false, - "reason": "A feature request for fastercache is unrelated to layer diffusion support." + "reason": "Both are feature requests, but for unrelated features: fastercache vs layer diffusion." }, { "left": "issue:10144", "right": "issue:7773", "accept": false, - "reason": "Different video-model issues with different pipelines and symptoms; not a duplicate." + "reason": "Different video-generation quality issues in different models/pipelines." }, { "left": "issue:10591", "right": "issue:12905", "accept": false, - "reason": "SD3 LoRA training script issues and Z_Image guidance-scale implementation are different bugs." + "reason": "Both are 'wrong' behavior reports, but they concern different components: SD3 LoRA training script vs Z_Image guidance scale implementation." }, { "left": "issue:10653", "right": "issue:11833", "accept": false, - "reason": "Bitsandbytes CPU movement limitation and set_lora_device KeyError are different failure modes." + "reason": "Different device-management bugs: bitsandbytes 8bit .to(cpu) limitation vs set_lora_device KeyError." }, { "left": "issue:1082", "right": "issue:4839", "accept": false, - "reason": "Dreambooth CUDA execution failure and lora_scale type error are unrelated." + "reason": "Unrelated errors: DreamBooth CUDA matmul failure vs a lora_scale type error." }, { "left": "issue:11000", "right": "issue:12620", "accept": false, - "reason": "Missing shift argument in a pipeline call is unrelated to missing release assets." + "reason": "No overlap in bug/change: missing shift argument vs missing release assets." }, { "left": "issue:11486", "right": "issue:8589", "accept": false, - "reason": "Training-script xformers support request and SD3 prior-preservation bug are different topics." + "reason": "Different training concerns: enabling xformers memory-efficient attention vs SD3 prior preservation support." }, { "left": "issue:1249", "right": "issue:967", "accept": false, - "reason": "Both are ONNX/scheduler-related, but the reported errors and code paths are different enough that they should not be merged." - }, - { - "left": "issue:1704", - "right": "issue:1992", - "accept": false, - "reason": "General attention-block question and JAX attention refactoring request are not the same issue." + "reason": "Both are ONNX/scheduler related, but the reported failures and likely fixes are different." } ] }, @@ -67483,7 +67374,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10231", "issue:10287", @@ -67491,9 +67382,10 @@ "issue:12633", "issue:1274", "issue:13243", - "issue:1574", + "issue:1704", "issue:1730", "issue:1896", + "issue:1992", "issue:2306", "issue:2775", "issue:3176", @@ -67513,7 +67405,6 @@ "issue:4964", "issue:5226", "issue:5390", - "issue:5412", "issue:5546", "issue:5570", "issue:5628", @@ -67535,6 +67426,7 @@ "issue:9933" ], "soft_pairs": [ + "issue:1704|issue:1992", "issue:3176|issue:6359", "issue:3887|issue:8637", "issue:4542|issue:6548", @@ -67557,181 +67449,180 @@ "issue:3420|issue:3915", "issue:7490|issue:7665", "issue:12633|issue:13243", - "issue:4480|issue:8994", - "issue:1574|issue:5412" + "issue:4480|issue:8994" ], - "prepared_review_unit_hash": "dc2f5da9ea9f27428c1bd066006f0a8edcafb0fb15ae12d52ab9df1fba5f1200", + "prepared_review_unit_hash": "be6a7961ce506ec8bbe7b6ee40e2b4236b37bbd0cebd534752b6d5abd86a65ff", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33805, - "estimated_input_tokens": 8452, - "estimated_eval_tokens": 17160 + "serialized_chars": 33721, + "estimated_input_tokens": 8431, + "estimated_eval_tokens": 17118 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are mostly unrelated bug reports spanning tutorials, training scripts, schedulers, and platform-specific failures. No soft pair looks like the same concrete underlying bug or change, so I would not merge any of them as duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "Issue 6068 is the most concrete, well-scoped bug report with substantial discussion: incorrect SDXL samples in DDIM, which makes it a strong canonical reference for a scheduler correctness problem.", + "summary": "The soft pairs are mostly broad thematic matches rather than true duplicates; I would reject every edge. The strongest standalone issue in this set is the SDXL/DDIM sampling bug, which is the most concrete and reproducible report.", + "confidence": 0.86, + "canonical_issue_reason": "issue:6068 is the most technically precise and self-contained bug report: it names the exact scheduler, the SDXL code path, and the incorrect-sampling symptom with substantial discussion.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 6068 is the best standalone issue to anchor triage because it describes a specific reproducible defect in a core code path and has the richest discussion signal among the set.", + "best_issue_reason": "issue:6068 is the best representative issue because it is specific, reproducible, and directly tied to a single code path rather than a vague feature/question.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1704", + "right": "issue:1992", + "accept": false, + "reason": "Both mention attention, but one is a general question and the other is a JAX refactor topic; not the same bug/change." + }, { "left": "issue:3176", "right": "issue:6359", "accept": false, - "reason": "TensorRT demo error and EulerDiscreteScheduler/v_prediction failure are different subsystems and different failure modes." + "reason": "TensorRT demo failure and a missing scheduler method are unrelated code paths." }, { "left": "issue:3887", "right": "issue:8637", "accept": false, - "reason": "A generic SD pipeline quality complaint is unrelated to an ImportError for PixArtSigmaPipeline." + "reason": "A quality/effect complaint about SD pipelines is unrelated to an import error for PixArtSigmaPipeline." }, { "left": "issue:4542", "right": "issue:6548", "accept": false, - "reason": "Both involve img2img, but one is a multi-image output bug and the other is RGBA latents handling; not the same code-path bug." + "reason": "One is about SDXL img2img generating only one image, the other is an RGBA latent-handling bug; different failure modes." }, { "left": "issue:4680", "right": "issue:6529", "accept": false, - "reason": "Both mention inpainting, but one is a fine-tuning question and the other is an SDXL Fooocus inpaint issue." + "reason": "General SDXL inpainting fine-tuning and a Fooocus inpaint request are not the same concrete issue." }, { "left": "issue:4702", "right": "issue:7368", "accept": false, - "reason": "VQ-VAE training example request and GLIGEN training request are different examples and different model families." + "reason": "Training a VQ-VAE example and asking about GLIGEN training are different model/workflow requests." }, { "left": "issue:4841", "right": "issue:6234", "accept": false, - "reason": "Control image size and a text-to-image training script issue are unrelated." + "reason": "ControlNet image-size trouble and a text-to-image SDXL training script issue do not share the same bug." }, { "left": "issue:4964", "right": "issue:5390", "accept": false, - "reason": "Model conversion to diffusers and unwanted text-encoder download behavior are separate problems." + "reason": "Model conversion to Diffusers and unwanted text-encoder downloads with local_files_only are unrelated." }, { "left": "issue:5226", "right": "issue:6593", "accept": false, - "reason": "Both concern LoRA support, but they target different pipelines and one is a feature request while the other is a specific adapter-pipeline failure." + "reason": "Both touch LoRA support, but they target different pipeline classes and different implementation paths." }, { "left": "issue:5689", "right": "issue:6068", "accept": false, - "reason": "Both are SDXL sampling complaints, but one is residual noise with DPM++ and the other is incorrect DDIM samples; different schedulers and bugs." + "reason": "Both are scheduler-quality complaints, but DPM++ residual noise and DDIM incorrect samples are distinct scheduler bugs." }, { "left": "issue:5989", "right": "issue:7836", "accept": false, - "reason": "A safetensors bug and CLIP training overfitting are unrelated." + "reason": "A safetensors.torch bug and CLIP example overfitting are unrelated." }, { "left": "issue:6598", "right": "issue:9933", "accept": false, - "reason": "img2img result differences and missing width/height parameters in SD3 img2img are different defects." + "reason": "Img2img parity differences and missing width/height parameters are different pipeline issues." }, { "left": "issue:3363", "right": "issue:3584", "accept": false, - "reason": "Both are DreamBooth-related, but one is a script failing on two machines and the other is a tutorial failure; not enough evidence they are the same bug." + "reason": "Both involve DreamBooth, but one is a LoRA training failure and the other is a tutorial failure; not the same bug." }, { "left": "issue:2775", "right": "issue:5570", "accept": false, - "reason": "torch._dynamo optimize error and missing compute_snr are unrelated training/runtime issues." + "reason": "A torch._dynamo optimization error and a missing compute_snr utility are unrelated." }, { "left": "issue:5546", "right": "issue:5628", "accept": false, - "reason": "Both involve Karras sigmas and scheduler counting, but they affect different schedulers and symptoms, so they are not the same concrete bug." + "reason": "Both involve Karras sigmas, but one is wrong step counts in base+refiner while the other is denoising range offset in LMS; different code paths." }, { "left": "issue:1274", "right": "issue:1896", "accept": false, - "reason": "Num-images-per-prompt failure and CLIP-guided Stable Diffusion size/type error are unrelated." + "reason": "A num_images_per_prompt failure and a CLIP-guided Stable Diffusion dict-size error are unrelated." }, { "left": "issue:10231", "right": "issue:10287", "accept": false, - "reason": "Both mention docs/tutorial code, but one is an Ubuntu import error and the other is a generic documentation issue; too vague to be the same bug." + "reason": "Both are documentation/example complaints, but the first is a specific Ubuntu import error and the second is a generic docs issue." }, { "left": "issue:2306", "right": "issue:4747", "accept": false, - "reason": "INT_MAX error and missing model_index.json after LoRA loading are unrelated." + "reason": "An INT_MAX runtime error and a missing model_index.json load error are different problems." }, { "left": "issue:1185", "right": "issue:1730", "accept": false, - "reason": "DreamBooth reproducibility and CKPT conversion problems are different issues." + "reason": "DreamBooth reproducibility and CKPT conversion/webui incompatibility are different topics." }, { "left": "issue:3765", "right": "issue:3769", "accept": false, - "reason": "Both are image artifact reports, but one is ControlNet training stacking and the other is panorama quartering; different pipelines and causes." + "reason": "Both mention image artifacts during training/inference, but controlnet stacking and panorama quartering are distinct issues." }, { "left": "issue:3420", "right": "issue:3915", "accept": false, - "reason": "ControlNet inpaint pipeline failure and torch.compile on text-to-video pipelines are unrelated." + "reason": "ControlNet inpaint pipeline incompatibility and torch.compile text-to-video failure are unrelated." }, { "left": "issue:7490", "right": "issue:7665", "accept": false, - "reason": "Backward-pass problem and instruct_pix2pix issue are too generic and do not point to the same bug." + "reason": "A generic backward problem and an instruct-pix2pix issue are too vague and distinct to treat as the same bug." }, { "left": "issue:12633", "right": "issue:13243", "accept": false, - "reason": "Both are scheduler timing bugs, but they involve different scheduler implementations and different logic errors." + "reason": "Both are scheduler timestep bugs, but one is DDIM linspace stepping and the other is FlowMatchEuler sigma shifting; different implementations." }, { "left": "issue:4480", "right": "issue:8994", "accept": false, - "reason": "Mac MPS kernel crash with float16 and generation steps stuck at 0 are unrelated." - }, - { - "left": "issue:1574", - "right": "issue:5412", - "accept": false, - "reason": "DreamBooth training failure on low-memory Linux and resume_from_checkpoint failure in SDXL LoRA are different training issues." + "reason": "An MPS float16 kernel crash and generation steps stuck at 0 are not the same failure." } ] }, @@ -67753,7 +67644,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10311", "issue:1082", @@ -67761,6 +67652,7 @@ "issue:11659", "issue:11700", "issue:13311", + "issue:1574", "issue:2068", "issue:2213", "issue:2614", @@ -67768,7 +67660,6 @@ "issue:2784", "issue:2891", "issue:2985", - "issue:3019", "issue:3040", "issue:3381", "issue:3584", @@ -67782,7 +67673,7 @@ "issue:4880", "issue:4913", "issue:5128", - "issue:5205", + "issue:5412", "issue:5480", "issue:5567", "issue:5619", @@ -67805,6 +67696,7 @@ "issue:9610" ], "soft_pairs": [ + "issue:1574|issue:5412", "issue:2068|issue:3591", "issue:2784|issue:5480", "issue:2985|issue:4913", @@ -67827,181 +67719,180 @@ "issue:7922|issue:8495", "issue:1082|issue:3584", "issue:1161|issue:692", - "issue:2614|issue:4314", - "issue:3019|issue:5205" + "issue:2614|issue:4314" ], - "prepared_review_unit_hash": "596f03d5eaff84eab367c46d0d4c6a8b9921670d811dc46cfb4e47a2d3de681e", + "prepared_review_unit_hash": "4d557666d3725d3093374278c6b0d0f34a49d2cdcc1fb2c271e88f9c076b8632", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33948, - "estimated_input_tokens": 8487, - "estimated_eval_tokens": 17230 + "serialized_chars": 33971, + "estimated_input_tokens": 8493, + "estimated_eval_tokens": 17242 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is very heterogeneous: most pairs share only broad thematic similarity (loading, LoRA, pipelines, training, or image generation) but not the same underlying bug or change. I would reject all soft edges and treat these as separate issues.", - "confidence": 0.93, - "canonical_issue_reason": "No clear canonical issue: the items span unrelated bugs, features, and pipelines, and none of the soft pairs look like true duplicates.", - "canonical_pr_reason": "No PRs are present in this cluster.", - "best_issue_reason": "issue:6201 is the most concrete open bug with a specific code path in `pipeline_stable_diffusion.py`, so it is the best representative if one must be chosen.", - "best_pr_reason": "No PRs are present in this cluster.", + "summary": "This cluster is mostly a loose collection of unrelated diffusers issues that only share superficial text similarity (DreamBooth, LoRA loading, pipeline loading, scheduler bugs, TPU/metal/device issues, docs/problems). None of the suggested soft pairs look like true duplicates or the same concrete fix.", + "confidence": 0.92, + "canonical_issue_reason": "If forced to pick one, issue #11659 is the most generic open bug about loading LoRA assets, but the cluster is too heterogeneous for a strong canonical issue choice.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #11659 is the broadest currently open user-facing loading problem in the set, so it is the least bad representative; still, it is not a good duplicate anchor for the whole cluster.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1574", + "right": "issue:5412", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a bare-metal 8GB GPU training failure and the other is a resume_from_checkpoint bug in a different script; not the same code-path." + }, { "left": "issue:2068", "right": "issue:3591", "accept": false, - "reason": "Unrelated topics: `from_pretrained` dtype conversion vs ControlNet loss-curve confusion." + "reason": "One concerns dtype conversion in from_pretrained, the other ControlNet loss-curve behavior; unrelated bugs." }, { "left": "issue:2784", "right": "issue:5480", "accept": false, - "reason": "Both are feature requests, but for different models and capabilities; not the same change." + "reason": "Feature request for DreamBooth text-to-video support vs a request to implement EDM; different model features." }, { "left": "issue:2985", "right": "issue:4913", "accept": false, - "reason": "Different model families and different requests: Kandinsky 2.1 vs ControlNet OpenPose SDXL." + "reason": "Kandinsky 2.1 request vs a specific controlnet-openpose-sdxl model issue; no shared underlying bug/change." }, { "left": "issue:4471", "right": "issue:5714", "accept": false, - "reason": "LoRA loading on SDXL img2img is not the same as PEFT warning/support in `maybe_raise_or_warn`." + "reason": "SDXL img2img LoRA loading bug vs maybe_raise_or_warn not supporting PeftModel; different objects and failure modes." }, { "left": "issue:5905", "right": "issue:5925", "accept": false, - "reason": "Different feature requests: diffusion-GAN model support vs ZipLoRA multi-LoRA inference." + "reason": "Model-family request for diffusion-GAN vs ZipLora multi-LoRA inference enhancement; different changes." }, { "left": "issue:3040", "right": "issue:4880", "accept": false, - "reason": "Different bugs and code paths; one is a docs-copy error, the other is ControlNet input validation." + "reason": "Docs-related AttributeError from pasted example vs ControlNet single-image input validation; unrelated code paths." }, { "left": "issue:11700", "right": "issue:9610", "accept": false, - "reason": "Both involve loading helpers, but they target different pipelines and distinct features." + "reason": "Pruna integration for loading pipelines vs adding load_lora_weights to an SD3 img2img script; both involve loading, but not the same concrete fix." }, { "left": "issue:5619", "right": "issue:6201", "accept": false, - "reason": "Both are pipeline bugs, but one is about AutoencodeTiny image encoding and the other is prompt/embed handling." + "reason": "LCM img2img AutoencodeTiny encode bug vs stable_diffusion.py prompt_embeds/negative_prompt_embeds handling; different pipeline logic." }, { "left": "issue:5567", "right": "issue:9331", "accept": false, - "reason": "Completely different areas: Accelerator/UNet config collision vs scheduler timestep indexing." + "reason": "Accelerator.prepare overwriting unet.config vs FlowMatchEulerDiscreteScheduler timestep indexing; unrelated subsystems." }, { "left": "issue:10311", "right": "issue:8742", "accept": false, - "reason": "Dreambooth import failure is unrelated to removal of `LoRAAttnProcessor2_0`." + "reason": "Dreambooth import error vs removal of LoRAAttnProcessor2_0 API; one is an import problem, the other an API deprecation break." }, { "left": "issue:7661", "right": "issue:7974", "accept": false, - "reason": "Both mention IP-Adapter, but they describe different pipelines and different bugs." + "reason": "AnimateDiff pipeline with IP-Adapter-loaded UNet vs inpaint with IP Adapter; same broad area, but different pipeline behavior and not a single fix." }, { "left": "issue:8537", "right": "issue:9224", "accept": false, - "reason": "Different hardware/dtype failures: missing `float8` vs unsupported `float64` on MPS." + "reason": "SD3 from_single_file hits missing torch.float8_e4m3fn vs hardcoded torch.float64 unsupported on MPS; different dtype issues on different devices." }, { "left": "issue:2891", "right": "issue:3381", "accept": false, - "reason": "Different Stable Diffusion pipelines and different symptoms; not the same bug." + "reason": "StableDiffusionUpscalePipeline embed support mismatch vs inpaint batch discoloration/docs issue; not the same bug." }, { "left": "issue:2772", "right": "issue:5128", "accept": false, - "reason": "One is local dataset handling in ControlNet training, the other is loading a local safetensors file." + "reason": "Local dataset path handling in train_controlnet.py vs loading a local .safetensors with XLPipeline.from_single_file; different input-validation/loading paths." }, { "left": "issue:3954", "right": "issue:4753", "accept": false, - "reason": "Different training issues in different scripts; no concrete shared code path." + "reason": "Learning-rate scheduler step-count bug for multi-gpu examples vs something wrong with train_dreambooth_lora.py; different training script defects." }, { "left": "issue:4353", "right": "issue:5931", "accept": false, - "reason": "Image quality complaint is not the same as nondeterministic generation." + "reason": "Poor SDXL image quality vs non-deterministic StableDiffusionPipeline generation; different symptoms and likely different causes." }, { "left": "issue:11659", "right": "issue:13311", "accept": false, - "reason": "Both are LoRA-loading related, but one is generic and the other is a Flux2-specific missing-keys case." + "reason": "Generic LoRA load issue vs Flux2Transformer2DModel reporting no LoRA keys; both are load-related, but the model classes and failure mechanisms differ." }, { "left": "issue:2213", "right": "issue:898", "accept": false, - "reason": "Different TPU problems: distributed hang vs unsupported bfloat16 scalar type." + "reason": "TPU v4-8 distributed hang vs TPU bfloat16 scalar-type exception; same device family, but not the same bug." }, { "left": "issue:4354", "right": "issue:7946", "accept": false, - "reason": "Pipeline type returned from `from_single_file` vs custom pipeline caching are unrelated." + "reason": "from_single_file returning wrong pipeline type vs custom_pipeline not being cached; different pipeline-construction/caching problems." }, { "left": "issue:7922", "right": "issue:8495", "accept": false, - "reason": "Different failure modes: missing ORT pipeline attribute vs tokenizer enum deserialization error." + "reason": "Missing ORTStableDiffusionXLPipeline export vs SD3 tokenizer enum deserialization error; unrelated load failures." }, { "left": "issue:1082", "right": "issue:3584", "accept": false, - "reason": "Runtime CUDA failure during DreamBooth training is unrelated to a failed tutorial." + "reason": "CUDA CUBLAS execution failure during DreamBooth training vs DreamBooth tutorial failure; one is a runtime GPU crash, the other a tutorial/documentation/training setup issue." }, { "left": "issue:1161", "right": "issue:692", "accept": false, - "reason": "Model conversion and fine-tuning documentation request are unrelated." + "reason": "Flax-to-PyTorch conversion bug vs general request for a fine-tuning example; not duplicates." }, { "left": "issue:2614", "right": "issue:4314", "accept": false, - "reason": "Download-directory configuration is not the same as interrupted-download write protection." - }, - { - "left": "issue:3019", - "right": "issue:5205", - "accept": false, - "reason": "Both are image-editing related, but they target different features and pipelines." + "reason": "Changing pretrained-model download directory vs write-protected files after interrupted download; related to downloads, but distinct problems." } ] }, @@ -68023,7 +67914,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10204", "issue:10800", @@ -68038,13 +67929,12 @@ "issue:13067", "issue:1367", "issue:2669", - "issue:2763", "issue:2799", "issue:2905", + "issue:3019", "issue:3045", "issue:3113", "issue:3174", - "issue:3218", "issue:3233", "issue:3699", "issue:3728", @@ -68075,6 +67965,7 @@ "issue:9953" ], "soft_pairs": [ + "issue:3019|issue:5205", "issue:3113|issue:6616", "issue:3699|issue:5763", "issue:3728|issue:7370", @@ -68097,187 +67988,186 @@ "issue:10800|issue:8759", "issue:3045|issue:3233", "issue:12501|issue:9953", - "issue:12334|issue:9946", - "issue:2763|issue:3218" + "issue:12334|issue:9946" ], - "prepared_review_unit_hash": "44481bd8ff55aadce26069add11acc0a2c33b661ef8c41f4d33348a29478c0ad", + "prepared_review_unit_hash": "b7cd4bf377182090dd3d22887e6e2ca9b1e8c57e4e2cf2a662aa8b7556e85da9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33677, - "estimated_input_tokens": 8420, - "estimated_eval_tokens": 17096 + "serialized_chars": 33051, + "estimated_input_tokens": 8263, + "estimated_eval_tokens": 16782 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous and does not represent one unified duplicate set. The only clear duplicate pair is the xformers memory-efficient attention reports; the rest are separate bugs or feature requests across different models and code paths.", - "confidence": 0.91, - "canonical_issue_reason": "issue:9946 is the best canonical issue: it is the earlier and more active report of the same xformers memory-efficient attention bug that issue:12334 repeats.", + "summary": "Most candidate pairs are only loosely related by subsystem or vague symptom wording and should be rejected; two pairs look like true duplicates around the same concrete bug/functionality.", + "confidence": 0.74, + "canonical_issue_reason": "issue:11885 is the clearest anchor for the FLUX LoRA-loading bug: it names the failing code path (`load_lora_weights`) and has the most detailed report among the closely related pair.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9946 is also the best issue representative here because it anchors the only true duplicate pair in the cluster and has the strongest discussion signal.", + "best_issue_reason": "issue:11885 is the strongest global issue candidate because it is specific, technical, and likely to subsume the related FluxControl loading report; it is more useful as a duplicate target than the broader or more generic issues here.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3019", + "right": "issue:5205", + "accept": false, + "reason": "Both are image-editing/control features, but they describe different capabilities and not the same underlying bug." + }, { "left": "issue:3113", "right": "issue:6616", "accept": false, - "reason": "Both touch guidance/control, but one is a new layout-control feature and the other requests classifier-guidance support; different changes." + "reason": "Both mention guidance/control, but one is a layout-control feature request and the other is classifier guidance implementation; not the same change." }, { "left": "issue:3699", "right": "issue:5763", "accept": false, - "reason": "CUDA runtime install error vs save_pretrained/safetensors serialization bug; unrelated failure modes." + "reason": "CUDA runtime import failure and safetensors save behavior are unrelated bugs." }, { "left": "issue:3728", "right": "issue:7370", "accept": false, - "reason": "Different model requests (Shifted Diffusion vs STDiT/OpenSora) and different pipelines." + "reason": "A new pipeline request and STDiT support request are different model/pipeline additions, not duplicates." }, { "left": "issue:4578", "right": "issue:6112", "accept": false, - "reason": "One is a docs complaint about VAE usage; the other is an SDXL-Turbo noise output bug." + "reason": "Documentation/VAE mention versus noisy SDXL-Turbo output are unrelated issues." }, { "left": "issue:5205", "right": "issue:938", "accept": false, - "reason": "ControlNet/Repaint pipeline issue vs Human Motion Diffusion; different subsystems and models." + "reason": "Text-guided repaint/controlnet and human motion diffusion are different applications and code paths." }, { "left": "issue:5334", "right": "issue:7600", "accept": false, - "reason": "Both are training-related, but one is accelerate.prepare API support and the other is DreamBooth accumulation on text_encoder; not the same bug." + "reason": "Both concern training loops, but one is a general multi-model Accelerate API request and the other is a DreamBooth-specific accumulate bug." }, { "left": "issue:2799", "right": "issue:917", "accept": false, - "reason": "Checkpoint/pipeline mismatch validation vs ONNX inpainting failure; different code paths." + "reason": "Checkpoint/pipeline mismatch and ONNX inpainting failure are distinct problems." }, { "left": "issue:11651", "right": "issue:11885", - "accept": false, - "reason": "Both mention FLUX LoRA loading, but one is FluxControl with flux-fill-lora and the other is a FLUX.1 dev0 load_lora_weights regression; not clearly the same defect." + "accept": true, + "reason": "Both report FLUX LoRA loading failures around the same `load_lora_weights` path; they look like the same underlying bug." }, { "left": "issue:3174", "right": "issue:3960", "accept": false, - "reason": "LoRA loading breakage vs HeaderTooLarge for LoRA uploads; different symptoms." + "reason": "LoRA loading regression and Lora header-too-large error are different symptoms and likely different causes." }, { "left": "issue:5578", "right": "issue:7841", "accept": false, - "reason": "Missing model_index.json vs red-dot image quality artifact; unrelated." + "reason": "Missing `model_index.json` and red-dot image quality issues are unrelated." }, { "left": "issue:5710", "right": "issue:6232", "accept": false, - "reason": "Same scheduler class, but one is missing sigmas at init and the other is add_noise failing for some settings; separate bugs." + "reason": "Two scheduler bugs, but in different scheduler classes and with different failure modes." }, { "left": "issue:11569", "right": "issue:13067", "accept": false, - "reason": "Different feature requests for different models (ltxv repo vs Anima support)." + "reason": "Both are feature requests for model support, but for different models and not the same change." }, { "left": "issue:1367", "right": "issue:590", "accept": false, - "reason": "Scheduler save-config bug with trained_betas vs a Karras noise-formula typo; not the same issue." + "reason": "Scheduler config saving and Karras noise formula typo are separate scheduler issues." }, { "left": "issue:5009", "right": "issue:7389", "accept": false, - "reason": "Wuerstchen error vs SDXL.from_single_file loading error; different pipelines." + "reason": "Wuerstchen error and SDXL single-file loading error are different pipelines and failures." }, { "left": "issue:5026", "right": "issue:7185", "accept": false, - "reason": "KeyError: text_encoder regression vs pytorch version support question; not duplicate." + "reason": "A KeyError in model loading is not the same as a pytorch version support question." }, { "left": "issue:1207", "right": "issue:2669", "accept": false, - "reason": "One is a CUDA symbol/linker failure, the other a NoneType string handling error; unrelated." + "reason": "CUDA symbol resolution failure and a `NoneType.replace` error are unrelated." }, { "left": "issue:10204", "right": "issue:12175", "accept": false, - "reason": "FluxFill inpainting degrades over iterations vs Qwen Image quality complaints; different models and symptoms." + "reason": "Both discuss poor output quality, but they target different models and do not point to the same bug." }, { "left": "issue:11489", "right": "issue:9858", "accept": false, - "reason": "Flux LoRA training error vs KeyError 'train'; different failure points." + "reason": "Flux LoRA training error and `KeyError: 'train'` are different training failures." }, { "left": "issue:2905", "right": "issue:725", "accept": false, - "reason": "Scheduler Karras-sigmas feature request vs DiffusionPipeline device-map/accelerate feature request." + "reason": "Karras sigmas support and device-map/accelerate loading are separate feature requests." }, { "left": "issue:10800", "right": "issue:8759", "accept": false, - "reason": "Different dtype/quantization warnings: BnB offload int4 vs SD3 uint8 cast warning." + "reason": "Quantization/offload type mismatch and SD3 image cast warning are distinct issues." }, { "left": "issue:3045", "right": "issue:3233", "accept": false, - "reason": "Opposite LoRA conversion directions; related area but not the same bug/change." + "reason": "Converting LoRA to diffusers and converting trained LoRA to safetensors are opposite workflows, not duplicates." }, { "left": "issue:12501", "right": "issue:9953", "accept": false, - "reason": "VAE graph-break issue vs moving a quantized component to CUDA; different problems." + "reason": "Graph break in VAE decoding and moving quantized components to CUDA are different code paths." }, { "left": "issue:12334", "right": "issue:9946", "accept": true, - "reason": "Both report the same enable_xformers_memory_efficient_attention/xformers memory-efficient attention bug, with overlapping symptom and API." - }, - { - "left": "issue:2763", - "right": "issue:3218", - "accept": false, - "reason": "ControlNet VRAM usage with cudnn.benchmark vs torch.compile graph breaks; different performance bugs." + "reason": "Both are the same xFormers memory-efficient attention bug reported with nearly identical wording." } ] }, "evaluator_result": { "accept": true, - "feedback": "The cluster summary is well grounded in the packet, and the only accepted pair (issue:12334 / issue:9946) is supported by the titles and activity signal. The remaining soft-edge rejections are appropriately conservative and do not overclaim duplication." + "feedback": "The analyst stayed conservative on the non-duplicate pairs and the two accepted pairs are well grounded in the packet: 11651/11885 are both FLUX LoRA-loading reports centered on load_lora_weights, and 12334/9946 are near-identical xFormers attention bug reports. No soft-edge verdict appears overstated." }, "evaluator_used": true, "retried": false, @@ -68296,7 +68186,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1033", "issue:10869", @@ -68309,7 +68199,9 @@ "issue:1925", "issue:2392", "issue:2495", + "issue:2763", "issue:2908", + "issue:3218", "issue:3451", "issue:3461", "issue:3583", @@ -68321,7 +68213,6 @@ "issue:4264", "issue:4305", "issue:4349", - "issue:4480", "issue:487", "issue:5108", "issue:5371", @@ -68332,7 +68223,6 @@ "issue:7197", "issue:7199", "issue:7333", - "issue:7438", "issue:7509", "issue:7574", "issue:801", @@ -68348,6 +68238,7 @@ "issue:9895" ], "soft_pairs": [ + "issue:2763|issue:3218", "issue:487|issue:801", "issue:11307|issue:11436", "issue:2495|issue:4349", @@ -68370,181 +68261,180 @@ "issue:12752|issue:13430", "issue:3974|issue:8410", "issue:4086|issue:5108", - "issue:7197|issue:7574", - "issue:4480|issue:7438" + "issue:7197|issue:7574" ], - "prepared_review_unit_hash": "2b267c4f3b1772e008689f58c804c61fc76a8513dc426da6d11ea705bd458548", + "prepared_review_unit_hash": "4120f351e86d79387a1015b509a256befd170d99cb8e71e4e54df97aff57e7dc", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33928, - "estimated_input_tokens": 8482, - "estimated_eval_tokens": 17220 + "serialized_chars": 33951, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a grab bag of unrelated bug reports and feature requests; the soft-similarity links are title-level matches at best, not duplicates of the same underlying issue/change.", - "confidence": 0.96, - "canonical_issue_reason": null, + "summary": "The cluster is mostly a set of loosely related diffusion-model issues and feature requests, not true duplicates. A few pairs share a subsystem or model family, but the concrete bug/change differs, so I would reject all soft edges.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10869 is the clearest, most general runtime bug report in the set: it describes a broadly applicable tensor/device failure with concrete error text and downstream references.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 10869 is the best representative issue because its failure mode is generic and well-scoped, making it more suitable as a cluster anchor than the highly model- or script-specific reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2763", + "right": "issue:3218", + "accept": false, + "reason": "Same broad ControlNet area, but one is VRAM growth under cudnn benchmark while the other is torch.compile graph breaks; different bugs and fixes." + }, { "left": "issue:487", "right": "issue:801", "accept": false, - "reason": "Both involve Stable Diffusion on older Apple/MPS paths, but one is M1 CPU support and the other is attention slicing behavior in img2img/inpainting; different bugs." + "reason": "Both concern Stable Diffusion image generation on constrained hardware, but M1 CPU failure and attention slicing behavior are unrelated concrete issues." }, { "left": "issue:11307", "right": "issue:11436", "accept": false, - "reason": "Both are HiDream-related, but one is block-level group offloading and the other is dtype mismatch during inference; not the same failure." + "reason": "Same HiDream model family, but block-level group offloading problems and dtype mismatch during inference are distinct code-path failures." }, { "left": "issue:2495", "right": "issue:4349", "accept": false, - "reason": "Both concern upscale/inpaint-style pipelines and prompt embeddings, but one is an MPS black-image bug and the other is missing text_encoder validation; distinct problems." + "reason": "Both are pipeline failures, but MPS black-image output and missing text_encoder with prompt_embeds are different root causes." }, { "left": "issue:3583", "right": "issue:5371", "accept": false, - "reason": "General pipeline feature requests only; Mixture of Diffusers support is unrelated to BLIP inpainting support." + "reason": "Both are feature requests for pipeline support, but they target different additions: Mixture of Diffusers vs BLIP inpainting." }, { "left": "issue:4069", "right": "issue:4263", "accept": false, - "reason": "Both are about unloading added components, but textual inversion checkpoint unloading and LoRA unloading are separate code paths and bugs." + "reason": "Both involve unloading adapters, but textual inversion unloading and LoRA unloading are separate mechanisms and likely separate fixes." }, { "left": "issue:4213", "right": "issue:6393", "accept": false, - "reason": "Both mention from_single_file downloads, but one is accelerate dependency handling for SDXL loading and the other is private HF link download failure; not the same issue." + "reason": "Both mention from_single_file, but one is missing accelerate support and the other is private HF download/auth failure." }, { "left": "issue:4264", "right": "issue:8708", "accept": false, - "reason": "One is missing SDXL example images, the other is a missing SD3 VAE config field in dreambooth examples; documentation/example gaps, not duplicates." + "reason": "SDXL example images missing and SD3 dreambooth shift_factor config are unrelated documentation/training issues." }, { "left": "issue:6242", "right": "issue:9792", "accept": false, - "reason": "Both mention logs/cache/data handling, but they refer to different dataset-processing problems with no shared code-path evidence." + "reason": "Dataset logging request and cache-mapping failure are not the same bug." }, { "left": "issue:6392", "right": "issue:6790", "accept": false, - "reason": "Both involve loading/training custom artifacts, but custom LoRA loading and an LCM training state_dict mismatch are unrelated." + "reason": "Custom LoRA loading and an unexpected state_dict key in LCM training are different failure modes in different workflows." }, { "left": "issue:7333", "right": "issue:7509", "accept": false, - "reason": "Both are image/video generation research proposals, but they describe different pipelines and goals, not one underlying bug or change." + "reason": "Different research pipelines: image-to-video generation vs real-image inversion; no shared bug." }, { "left": "issue:8485", "right": "issue:9101", "accept": false, - "reason": "Both are SD3 training/support requests, but one is LoRA support and the other is an InstructPix2Pix training script; separate features." + "reason": "Both are SD3-related feature requests, but support for SD3 LoRA and an InstructPix2Pix training script are distinct changes." }, { "left": "issue:3451", "right": "issue:3461", "accept": false, - "reason": "Both discuss training memory/performance, but one is fp16 memory regression in text-to-image and the other is a Dreambooth performance comparison; not the same bug." + "reason": "Both discuss training performance/memory, but one is fp16 memory regression in a text-to-image script and the other is broader Dreambooth slowdown/VRAM usage." }, { "left": "issue:1802", "right": "issue:967", "accept": false, - "reason": "Both are API/pipeline compatibility bugs, but one is encoder_hidden_states=None handling in UNet and the other is scheduler incompatibility in ONNX pipeline; different failures." + "reason": "Unet encoder_hidden_states handling and ONNX scheduler compatibility are unrelated API issues." }, { "left": "issue:1925", "right": "issue:2908", "accept": false, - "reason": "Both mention precision issues, but one is stable-diffusion-2 inpainting half precision and the other is ControlNet training shape/mixed-precision errors; unrelated." + "reason": "Both mention mixed precision, but one is half-precision inpainting failure and the other is array-shape plus mixed-precision errors in a ControlNet training script." }, { "left": "issue:1033", "right": "issue:2392", "accept": false, - "reason": "Both are stable-diffusion/img2img errors, but one is an IndexError in stable_diffusion_mega and the other is prompt_embeds validation in img2img; different code paths." + "reason": "Stable_diffusion_mega IndexError and prompt_embeds with img2img ValueError are different pipeline bugs." }, { "left": "issue:7199", "right": "issue:8274", "accept": false, - "reason": "Both are about image/video generation methods, but ViewFusion and FIFO-Diffusion are distinct research ideas with no shared bug or implementation change." + "reason": "Different generation methods and use cases; no shared underlying defect." }, { "left": "issue:1284", "right": "issue:4305", "accept": false, - "reason": "Batch-size slowdown and torch.compile graph breaks are unrelated performance regressions." + "reason": "Batch-size performance scaling and torch.compile graph breaks are unrelated concerns." }, { "left": "issue:10869", "right": "issue:9895", "accept": false, - "reason": "Both are tensor/device-related runtime errors, but meta-tensor .item() and mixed cuda/cpu placement are different underlying causes." + "reason": "Both are tensor/device placement problems, but meta-tensor item() failure and FluxPipeline cross-device mismatch are distinct errors." }, { "left": "issue:8535", "right": "issue:8539", "accept": false, - "reason": "Both are SD3-related, but xformers attention enablement and cross-attention setting issues target different model components." + "reason": "Both are SD3-related, but one requests xformers attention support and the other reports cross-attention setting issues in the transformer." }, { "left": "issue:12752", "right": "issue:13430", "accept": false, - "reason": "One requests a Z-Image img2img/inpainting pipeline, the other asks for JoyAI-Image-Edit support; distinct model integrations." + "reason": "Both are image-editing pipeline requests, but Z-Image img2img/inpainting support and JoyAI-Image-Edit support are separate models/features." }, { "left": "issue:3974", "right": "issue:8410", "accept": false, - "reason": "Both are pipeline support requests, but ControlNet inpaint safetensors handling and native TextDiffuser support are unrelated." + "reason": "ControlNet safetensors loading and native TextDiffuser pipeline support are unrelated." }, { "left": "issue:4086", "right": "issue:5108", "accept": false, - "reason": "Both concern training-time exceptions, but SDXL ControlNet training and T2I Multiadapter XL are different models and failure modes." + "reason": "Both involve SDXL training, but one is ControlNet training failure and the other is MultiAdapter inference exceptions; different concrete paths." }, { "left": "issue:7197", "right": "issue:7574", "accept": false, - "reason": "Both are training/loading errors, but shortest-edge resume bug and missing middle_block_out weight are separate state/config issues." - }, - { - "left": "issue:4480", - "right": "issue:7438", - "accept": false, - "reason": "Both mention hardware/runtime problems, but MPS fp16 kernel crashes and XPU generation stalling are different platform-specific issues." + "reason": "Both are KeyError reports during training, but they reference different missing keys and likely different checkpoint/model mismatches." } ] }, @@ -68566,7 +68456,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10658", "issue:10767", @@ -68595,6 +68485,7 @@ "issue:3418", "issue:3454", "issue:3698", + "issue:4480", "issue:460", "issue:5043", "issue:5062", @@ -68607,16 +68498,16 @@ "issue:6858", "issue:6879", "issue:6958", + "issue:7438", "issue:8744", "issue:8837", "issue:905", "issue:9138", "issue:9227", - "issue:9291", - "issue:9361", "issue:9558" ], "soft_pairs": [ + "issue:4480|issue:7438", "issue:5368|issue:5557", "issue:5997|issue:8744", "issue:12501|issue:12610", @@ -68640,187 +68531,186 @@ "issue:3418|issue:5043", "issue:3698|issue:905", "issue:6858|issue:9138", - "issue:12157|issue:12645", - "issue:9291|issue:9361" + "issue:12157|issue:12645" ], - "prepared_review_unit_hash": "51656789d2d3ddb4e9c7bbcbe36603a36d2ec1da66cccbed1f9b7994f417467b", + "prepared_review_unit_hash": "72e9c69d022d33ec6727788ee45d6a05fe751e45161bb4f352dea224cebb77f8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 25, - "serialized_chars": 33393, - "estimated_input_tokens": 8349, - "estimated_eval_tokens": 16954 + "serialized_chars": 33425, + "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 highly heterogeneous: it mixes unrelated training, pipeline, ONNX, checkpointing, and model-specific issues. None of the soft pairs look like the same concrete bug/change, so I would not merge any of them as duplicates. There is no clear canonical issue or PR for the cluster.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This cluster is mostly a loose mix of unrelated Diffusers/ONNX/training issues; none of the soft pairs look like true duplicates or mergeable PR-equivalents. The best canonical anchor, if one must be chosen, is the checkpoint write-error report (#2662), but the overall cluster is not semantically cohesive.", + "confidence": 0.86, + "canonical_issue_reason": "#2662 is the cleanest, most general version of the checkpoint-saving write-error report and is the best duplicate anchor among the items.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "#6858 is the strongest standalone issue: detailed repro, concrete runtime error, active discussion, and still open for follow-up.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4480", + "right": "issue:7438", + "accept": false, + "reason": "MPS float16 kernel crash vs XPU generation stall; different device/runtime failures." + }, { "left": "issue:5368", "right": "issue:5557", "accept": false, - "reason": "Both are training errors, but one is an fp16 Q/K/V dtype mismatch and the other is an unexpected `use_reentrant` argument; different failure modes and code paths." + "reason": "Mixed-precision dtype mismatch vs unexpected kwarg error; unrelated code paths." }, { "left": "issue:5997", "right": "issue:8744", "accept": false, - "reason": "One is an SDXL ControlNet tutorial/model-type mismatch, the other is a single-file loading feature request for advanced training; unrelated issues." + "reason": "SDXL tutorial model-type error vs feature request for single-file training support." }, { "left": "issue:12501", "right": "issue:12610", "accept": false, - "reason": "A graph-break in VAE decoder iteration and a device-mismatch error from Quanto group offload are different bugs." + "reason": "Graph break in VAE decoder vs device mismatch from quanto + group offload." }, { "left": "issue:2370", "right": "issue:2780", "accept": false, - "reason": "One asks about LoRA training on a 24 GB GPU; the other reports FP16 unscale errors in a specific training script. Not the same bug." + "reason": "GPU memory/capacity question vs FP16 gradient unscale runtime error." }, { "left": "issue:2783", "right": "issue:3698", "accept": false, - "reason": "Both mention inpainting, but one requests an img2img/inpainting ControlNet pipeline while the other requests converting an inpainting model to diffusers; distinct changes." + "reason": "New pipeline request vs model conversion request; not the same bug." }, { "left": "issue:2646", "right": "issue:6250", "accept": false, - "reason": "Both involve VAE loading, but one is a tiled-VAE IndexError and the other is an SDXL single-file KeyError; different root causes." + "reason": "Tiled VAE index failure vs SDXL VAE single-file KeyError; distinct failures." }, { "left": "issue:10767", "right": "issue:10967", "accept": false, - "reason": "Both are about video models in diffusers, but they concern different models and integrations (FlashVideo vs LaVie/Cinemo). Not the same concrete change." + "reason": "Different model integration requests, only broadly about adding models to diffusers." }, { "left": "issue:2616", "right": "issue:2843", "accept": false, - "reason": "One is a `save_attn_procs` NoneType error, the other is a multi-GPU checkpoint save request; different checkpointing problems." + "reason": "Checkpoint save traceback vs multi-GPU checkpoint feature request." }, { "left": "issue:3379", "right": "issue:6321", "accept": false, - "reason": "Dreambooth intermediate checkpoint loading and CLIP detection are unrelated issues." + "reason": "Intermediate checkpoint loading issue vs CLIP model detection problem." }, { "left": "issue:5368", "right": "issue:6879", "accept": false, - "reason": "Both are dtype-related, but one is a mixed-precision attention mismatch and the other is a Custom Diffusion half-vs-float error; not the same code path." + "reason": "Both involve dtype mismatches, but different symptoms and code paths." }, { "left": "issue:11307", "right": "issue:9227", "accept": false, - "reason": "Group offloading at block level for HiDream and a FLUX DreamBooth training failure are different model-specific problems." + "reason": "Group offloading bug in HiDream vs FLUX DreamBooth LoRA training issue." }, { "left": "issue:2644", "right": "issue:3454", "accept": false, - "reason": "Both are DreamBooth-related, but one is a hardware/support question and the other is a regression on the latest version; not duplicate bugs." + "reason": "Hardware feasibility question vs latest-version compatibility bug." }, { "left": "issue:5395", "right": "issue:8837", "accept": false, - "reason": "PEFT LoRA combination bug and SlicedAttnProcessor bug are unrelated." + "reason": "LoRA merging problem vs sliced-attention processor bug; unrelated." }, { "left": "issue:10658", "right": "issue:11687", "accept": false, - "reason": "An ONNX Runtime `provider_options` feature request and a docs request for Pruna optimization framework are unrelated." + "reason": "API feature request vs documentation addition; not the same change." }, { "left": "issue:11437", "right": "issue:9558", "accept": false, - "reason": "Training produces no outputs at all versus validation images appearing black in TensorBoard; related area but different symptoms and likely different causes." + "reason": "Missing training outputs vs black validation image in TensorBoard." }, { "left": "issue:1407", "right": "issue:460", "accept": false, - "reason": "An ONNX pipeline `feature_extractor` error and a CPU/CUDA onnxruntime dependency issue are separate ONNX problems." + "reason": "ONNX pipeline feature-extractor regression vs runtime installation requirement." }, { "left": "issue:1704", "right": "issue:5062", "accept": false, - "reason": "A general question about attention blocks and a typo fix in attention are not the same underlying issue." + "reason": "General attention-block question vs a typo fix." }, { "left": "issue:2661", "right": "issue:3279", "accept": false, - "reason": "Checkpoint write errors during saving and checkpoint resume failures are different bugs." + "reason": "Checkpoint write error vs resume-from-checkpoint error; related area but different bug." }, { "left": "issue:2662", "right": "issue:3279", "accept": false, - "reason": "Checkpoint saving write error versus resume-from-checkpoint errors; not the same issue." + "reason": "Checkpoint saving write error vs resume checkpoint failure; not the same issue." }, { "left": "issue:3406", "right": "issue:6958", "accept": false, - "reason": "`only_cross_attention=True` behavior in Attention class and `use_linear_projection` missing in a motion UNet mid-block are unrelated." + "reason": "Attention-class behavior question vs motion model config bug." }, { "left": "issue:3418", "right": "issue:5043", "accept": false, - "reason": "Adding text-encoder support to a LoRA training script and adding LoRA finetuning for W\u00fcrstchen are different feature requests." + "reason": "Adding text-encoder support vs adding Wurstchen LoRA finetuning." }, { "left": "issue:3698", "right": "issue:905", "accept": false, - "reason": "One asks to convert an inpainting model to diffusers; the other asks for an image-to-image inpainting community pipeline. Different deliverables." + "reason": "Inpainting model conversion vs community pipeline request; different scope." }, { "left": "issue:6858", "right": "issue:9138", "accept": false, - "reason": "A ControlNet training `convert` attribute error and a generic `int` vs `str` comparison TypeError are unrelated." + "reason": "ControlNet training convert() error vs generic type-comparison TypeError." }, { "left": "issue:12157", "right": "issue:12645", "accept": false, - "reason": "A quantization-config iterable error and a Qwen-Image inference speed question are not the same bug." - }, - { - "left": "issue:9291", - "right": "issue:9361", - "accept": false, - "reason": "Both involve FLUX LoRA behavior, but one is about key compatibility with diffusers and the other about no visible LoRA effect at inference; not enough to treat as the same concrete bug." + "reason": "Quantization-config iterable error vs inference speed comparison; not a duplicate bug." } ] }, @@ -68842,7 +68732,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:10194", @@ -68857,7 +68747,6 @@ "issue:2052", "issue:2068", "issue:2310", - "issue:2392", "issue:2661", "issue:2662", "issue:2772", @@ -68874,7 +68763,6 @@ "issue:4975", "issue:5000", "issue:5062", - "issue:5325", "issue:5395", "issue:5824", "issue:5884", @@ -68891,9 +68779,12 @@ "issue:8880", "issue:9109", "issue:929", + "issue:9291", + "issue:9361", "issue:9599" ], "soft_pairs": [ + "issue:9291|issue:9361", "issue:10470|issue:8880", "issue:4229|issue:8594", "issue:11144|issue:9109", @@ -68917,187 +68808,186 @@ "issue:2772|issue:2786", "issue:10003|issue:12656", "issue:5000|issue:5395", - "issue:5824|issue:7735", - "issue:2392|issue:5325" + "issue:5824|issue:7735" ], - "prepared_review_unit_hash": "12632ed6a474f9c7046575db304f0cd867133afa3c89e582e22371b016dfa034", + "prepared_review_unit_hash": "8ffdfdeb84dfe0f086186e74113b8980d736a1abf8cb1ed7a31696048da8f73a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34052, - "estimated_input_tokens": 8513, - "estimated_eval_tokens": 17282 + "serialized_chars": 33991, + "estimated_input_tokens": 8498, + "estimated_eval_tokens": 17252 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All proposed soft pairs are false positives: they share broad subsystem keywords but describe different bugs, features, or pipelines. No duplicate cluster is evident, so there is no canonical issue/PR here.", - "confidence": 0.98, - "canonical_issue_reason": "No canonical issue: these issues span unrelated models, scripts, and error modes, so none is a duplicate representative.", + "summary": "This cluster is mostly a noisy mix of unrelated bug reports; the only mild thematic concentration is around Flux/LoRA inference issues, but none of the soft pairs look like true duplicates or mergeable change requests.", + "confidence": 0.18, + "canonical_issue_reason": "issue:9361 is the clearest, user-facing Flux/LoRA inference bug in the set and is the best representative of the small Flux-related subgroup.", "canonical_pr_reason": null, - "best_issue_reason": "No clear best issue for deduplication; the set is too heterogeneous to nominate a true canonical issue.", + "best_issue_reason": "issue:9361 is specific, reproducible, and actionable, making it the strongest standalone issue anchor among the Flux/LoRA reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:9291", + "right": "issue:9361", + "accept": false, + "reason": "Both are Flux LoRA problems, but one is key compatibility and the other is no-effect inference; related theme, not the same bug." + }, { "left": "issue:10470", "right": "issue:8880", "accept": false, - "reason": "Flux torchao inference failure vs a general inference speed regression; different bugs." + "reason": "Different problems: torchao inference failure vs. a version-related speed regression." }, { "left": "issue:4229", "right": "issue:8594", "accept": false, - "reason": "Multi-GPU accelerate training error vs undefined tokenizer variable in a different script." + "reason": "Both are training-script errors, but they hit different scripts and different code paths." }, { "left": "issue:11144", "right": "issue:9109", "accept": false, - "reason": "Flax dtype initialization bug vs missing torchvision nms operator; unrelated failures." + "reason": "Completely unrelated: Flax dtype initialization vs. torchvision nms missing." }, { "left": "issue:3350", "right": "issue:4727", "accept": false, - "reason": "Animov errors vs local_files_only auto-pipeline loading break; different root causes." + "reason": "No shared underlying bug; animov errors and local_files_only auto-pipeline behavior are unrelated." }, { "left": "issue:10520", "right": "issue:10869", "accept": false, - "reason": "CUDA/CPU device mismatch vs meta-tensor .item() failure; not the same issue." + "reason": "Both involve runtime tensor/device issues, but one is a CUDA/CPU device mismatch and the other is a meta-tensor .item() failure." }, { "left": "issue:2310", "right": "issue:3112", "accept": false, - "reason": "LDM inpainting/LAMA cleaner vs multi-ControlNet inpainting support; different functionality." + "reason": "Both mention inpainting, but they describe different features and failures." }, { "left": "issue:8469", "right": "issue:8850", "accept": false, - "reason": "Corrupt IP-Adapter faces vs community pipelines mirror broken; unrelated problem domains." + "reason": "Corrupt faces in an IP-Adapter model is unrelated to community pipeline mirror breakage." }, { "left": "issue:1543", "right": "issue:775", "accept": false, - "reason": "fp16 revision loading issue vs fp16/autocast runtime issue; distinct bugs." + "reason": "fp16/revision loading and fp16 without autocast are different issues with different failure modes." }, { "left": "issue:1064", "right": "issue:3951", "accept": false, - "reason": "Scheduler add_noise error vs UniDiffuser NaNs; different code paths and symptoms." + "reason": "Scheduler add_noise error and UniDiffuser NaNs are not the same code-path problem." }, { "left": "issue:2786", "right": "issue:3348", "accept": false, - "reason": "Depth2Img numpy/transformers incompatibility vs LoRA scale support request." + "reason": "Different subsystems: depth2img numpy/transformers compatibility vs. LoRA scale behavior under xformers." }, { "left": "issue:2068", "right": "issue:4975", "accept": false, - "reason": "from_pretrained dtype conversion bug vs LoRA loading performance issue; not duplicates." + "reason": "One is a functional dtype-conversion bug; the other is a performance issue about repeated dtype queries." }, { "left": "issue:2052", "right": "issue:2661", "accept": false, - "reason": "Checkpoint resume failure vs checkpoint write error; related theme but different bugs." + "reason": "Checkpoint resume and checkpoint write failures are different training workflow problems." }, { "left": "issue:2052", "right": "issue:2662", "accept": false, - "reason": "Checkpoint resume failure vs checkpoint write error; different concrete failure modes." + "reason": "Resume-from-checkpoint is not the same as generic checkpoint write errors." }, { "left": "issue:10194", "right": "issue:9599", "accept": false, - "reason": "Flux attention masking feature vs LoRA-only finetune example request; not the same change." + "reason": "Full Flux attention masking support is unrelated to asking for a LoRA-only finetune example." }, { "left": "issue:3984", "right": "issue:756", "accept": false, - "reason": "class_labels requirement error vs deprecation tuple warning; unrelated issues." + "reason": "These are unrelated API errors with different triggers." }, { "left": "issue:4403", "right": "issue:7695", "accept": false, - "reason": "Half-precision LayerNorm kernel missing vs IP-Adapter masks ignored; different bugs." + "reason": "Half-precision kernel support and ignored ip_adapter_masks are different bugs." }, { "left": "issue:4841", "right": "issue:7773", "accept": false, - "reason": "ControlNet image size issue vs Stable Video Diffusion batch-size bug; distinct pipelines." + "reason": "ControlNet image sizing and Stable Video Diffusion batch-size behavior are not the same defect." }, { "left": "issue:5062", "right": "issue:929", "accept": false, - "reason": "Attention processor typo vs duplicated sqrt in attention block; not the same bug." + "reason": "A typo in attention code is unrelated to a duplicate square-root calculation question." }, { "left": "issue:5884", "right": "issue:7136", "accept": false, - "reason": "Broad IP-Adapter support request vs callback_on_step_end addition; separate feature work." + "reason": "IP-Adapter support expansion and callback_on_step_end for LDM3D are separate feature requests." }, { "left": "issue:11104", "right": "issue:8644", "accept": false, - "reason": "LTX offload methods broken vs SD3 T5 meta-tensor error; both offload-related but different models and failures." + "reason": "Both mention offload/meta-tensor-style failures, but they affect different models and different loading paths." }, { "left": "issue:2772", "right": "issue:2786", "accept": false, - "reason": "train_controlnet local dataset restriction vs depth2img numpy-input compatibility; unrelated." + "reason": "Different training/inference bugs with no shared concrete failure mode." }, { "left": "issue:10003", "right": "issue:12656", "accept": false, - "reason": "DDIM/DDPM 1000-step scheduler bug vs AuraFlow positional embedding OOB; different components." + "reason": "Scheduler behavior at 1000 steps and AuraFlow positional embedding OOB are unrelated." }, { "left": "issue:5000", "right": "issue:5395", "accept": false, - "reason": "Unfusing LoRAs broken vs combining some civitai LoRAs with PEFT; separate LoRA issues." + "reason": "Both involve LoRAs, but one is fuse/unfuse regression and the other is combining Civitai LoRAs with PEFT." }, { "left": "issue:5824", "right": "issue:7735", "accept": false, - "reason": "SDXL add_time_ids default bug vs dataset caption-column error; unrelated." - }, - { - "left": "issue:2392", - "right": "issue:5325", - "accept": false, - "reason": "img2img prompt_embeds validation bug vs packaging type info distribution issue; different areas." + "reason": "SDXL add_time_ids default behavior is unrelated to a dataset caption-column error." } ] }, @@ -69119,21 +69009,20 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10025", - "issue:10303", "issue:10412", "issue:10675", "issue:1076", "issue:11135", "issue:11148", - "issue:1305", "issue:1398", "issue:1524", "issue:1642", "issue:1734", "issue:1866", + "issue:2392", "issue:2984", "issue:3089", "issue:319", @@ -69150,18 +69039,19 @@ "issue:4557", "issue:4665", "issue:4753", - "issue:5046", "issue:5054", + "issue:5325", "issue:5510", "issue:5798", "issue:6079", + "issue:6176", "issue:6452", "issue:6486", "issue:660", "issue:6783", "issue:6967", + "issue:7300", "issue:7370", - "issue:7460", "issue:760", "issue:8414", "issue:8534", @@ -69170,6 +69060,8 @@ "issue:9460" ], "soft_pairs": [ + "issue:2392|issue:5325", + "issue:6176|issue:7300", "issue:11135|issue:8414", "issue:1642|issue:3089", "issue:1866|issue:337", @@ -69191,182 +69083,180 @@ "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:4438|issue:5054" ], - "prepared_review_unit_hash": "f7d3c77aa49e8595a29c5e6ca546e683f054dee5e5232a27f8cb400df9720879", + "prepared_review_unit_hash": "3f63d124dcab0ac3526b8ccc2d0bb9c8752502828c20fcc97724e6b020b6332a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33388, - "estimated_input_tokens": 8347, - "estimated_eval_tokens": 16950 + "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 a loose mix of unrelated bug reports, feature requests, and model-support requests across different pipelines, schedulers, and training scripts. None of the suggested soft pairs look like the same underlying issue/change, so all should stay separate.", - "confidence": 0.88, - "canonical_issue_reason": "issue:11148 is the most concrete, well-scoped bug report in the set, with a specific failing behavior and clear reproduction context.", + "summary": "These items are not a single duplicate cluster; they span unrelated bugs and feature requests across Flux, SDXL, DreamBooth, ControlNet, schedulers, PEFT, and new-model/pipeline proposals. All soft matches are title-similarity only and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the issues cover multiple unrelated code paths and product areas, so there is no true duplicate set to collapse into one issue.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11148 is a strong representative issue because it names the exact PEFT adapter state bug and its downstream impact on enable/disable adapters.", + "best_issue_reason": "None of the issues is a good global representative because the cluster is heterogeneous; if forced, the most specific recent issue should not be used as a stand-in for the rest.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2392", + "right": "issue:5325", + "accept": false, + "reason": "Different problems: an img2img `prompt_embeds` validation error vs. packaging type information distribution." + }, + { + "left": "issue:6176", + "right": "issue:7300", + "accept": false, + "reason": "Both involve LoRA/training-adjacent symptoms, but one is a post-training LoRA load issue and the other is high GPU memory after changing attention processors; different code paths." + }, { "left": "issue:11135", "right": "issue:8414", "accept": false, - "reason": "Different requests for different model/pipeline additions: SmoothCache for diffusion transformers vs ConsistencyTTA text-to-audio model support." + "reason": "Both are new-model/pipeline proposals, but they target different modalities and architectures: diffusion transformer caching vs. text-to-audio consistency distillation." }, { "left": "issue:1642", "right": "issue:3089", "accept": false, - "reason": "Both are scheduler bugs, but they concern different schedulers and different failure modes; not the same concrete code path." + "reason": "Both are scheduler-related, but one is a missing `forward` implementation in ScoreSdeVeScheduler and the other is a ddpm scheduler bug; not the same defect." }, { "left": "issue:1866", "right": "issue:337", "accept": false, - "reason": "Both touch img2img/inpainting behavior, but one is a DPMSolver strength bug and the other is a broader old inpainting issue." + "reason": "Img2img scheduler strength behavior is unrelated to img2img/text-guided inpainting functionality." }, { "left": "issue:4086", "right": "issue:444", "accept": false, - "reason": "Unrelated: SDXL ControlNet training failure vs a num_inference_steps indexing error." + "reason": "ControlNet training on SDXL base is unrelated to an IndexError for certain inference-step counts." }, { "left": "issue:4213", "right": "issue:6783", "accept": false, - "reason": "Different problems in different areas: SD-XL single-file loading without accelerate vs corrupted PixArt-XL generations." + "reason": "`from_single_file()` requiring accelerate and PixArt-XL-2 bad generations are different failures in different pipelines." }, { "left": "issue:1398", "right": "issue:760", "accept": false, - "reason": "Both mention MPS, but they target different model generations and different symptoms; too broad to treat as one bug." + "reason": "Both mention MPS, but one is SD2 on Apple Silicon and the other is unexpected SD1.5 output on MPS with an old diffusers version; not the same bug." }, { "left": "issue:1524", "right": "issue:4753", "accept": false, - "reason": "Different training scripts and different failure reports; no clear shared underlying defect." + "reason": "Poor textual inversion quality and a vague train_dreambooth_lora.py failure are different training issues with different failure modes." }, { "left": "issue:4337", "right": "issue:4665", "accept": false, - "reason": "Completely different subsystems: torch.compile/ControlNet vs Windows safetensors file selection." + "reason": "`torch.compile` failing in a community ControlNetReference is unrelated to Windows safetensors/bin-file selection behavior." }, { "left": "issue:4557", "right": "issue:9106", "accept": false, - "reason": "Both are attribute errors, but they point to different objects and contexts with no evidence of the same root cause." + "reason": "These are both AttributeError-style reports, but they reference different objects and different model paths; no evidence of the same bug." }, { "left": "issue:5510", "right": "issue:6079", "accept": false, - "reason": "Both are dtype mismatch errors, but they occur in different pipelines and code paths; not enough to merge." + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and involve different layers/configurations." }, { "left": "issue:6486", "right": "issue:8534", "accept": false, - "reason": "Different DreamBooth training bugs: double embedding retraction vs wrong logit-normal weighting." + "reason": "DreamBooth embedding retraction being applied twice is unrelated to SD3 dreambooth logit-normal weighting." }, { "left": "issue:10412", "right": "issue:6967", "accept": false, - "reason": "One is a VRAM usage complaint, the other is a shape-mismatch training failure; not the same issue." + "reason": "One is SD3.5 DreamBooth VRAM usage, the other is an SDXL prior-preservation shape mismatch; different resource and tensor-shape problems." }, { "left": "issue:5798", "right": "issue:9166", "accept": false, - "reason": "ControlNet callback keyword handling and image overlay behavior are unrelated." + "reason": "Unexpected callback argument in ControlNet pipeline is unrelated to `image_processor.apply_overlay` behavior." }, { "left": "issue:1734", "right": "issue:3284", "accept": false, - "reason": "Both involve DreamBooth/accelerate, but one reports severe slowdown while the other is a training failure; different bugs." + "reason": "Both mention DreamBooth/accelerate, but one is multi-GPU training slowness and the other is a train script failure; not the same underlying issue." }, { "left": "issue:10025", "right": "issue:10675", "accept": false, - "reason": "Both mention Flux, but one is about attention masking and the other about scheduler max_shift configuration." + "reason": "Flux attention-mask support and Flux scheduler `max_shift` configuration are separate Flux features/bugs." }, { "left": "issue:1076", "right": "issue:319", "accept": false, - "reason": "Different generations and different topics: stable-diffusion-v1-5 vs VQ-Diffusion." + "reason": "Stable Diffusion v1-5 discussion and VQ-Diffusion are unrelated model topics." }, { "left": "issue:11148", "right": "issue:9460", "accept": false, - "reason": "PEFT adapter state handling and SD3 ControlNet model-list support are separate features/bugs with no shared code-path." + "reason": "PEFT adapter loading state is unrelated to allowing a list of SD3 ControlNet models in the pipeline." }, { "left": "issue:2984", "right": "issue:7370", "accept": false, - "reason": "Both are model-support requests, but they concern different research models and different modalities." + "reason": "A latent video diffusion model request is unrelated to OpenSora STDiT support." }, { "left": "issue:3418", "right": "issue:6452", "accept": false, - "reason": "Different feature requests in different pipelines: text-encoder LoRA training vs masked_image_latents input for ControlNet inpaint." + "reason": "Adding text-encoder handling in a LoRA training script is unrelated to adding `masked_image_latents` to ControlNet inpaint." }, { "left": "issue:3748", "right": "issue:660", "accept": false, - "reason": "Both involve dtype/device issues, but one is a LoRA safetensor loading mismatch and the other is an MPS fp16 runtime question." + "reason": "LoRA QK dtype mismatch from safetensors is unrelated to running fp16 on MPS." }, { "left": "issue:3788", "right": "issue:7370", "accept": false, - "reason": "Separate pipeline/model support proposals for different architectures; not the same underlying change." + "reason": "UniControl pipeline request and OpenSora STDiT support are different new-pipeline/model proposals." }, { "left": "issue:4438", "right": "issue:5054", "accept": false, - "reason": "Both are SDXL errors, but one is a generic pipeline error and the other is a missing final_offload_hook attribute; no clear duplication." - }, - { - "left": "issue:10303", - "right": "issue:7460", - "accept": false, - "reason": "Different bugs in different components: attention permutation vs AdaLayerNorm behavior." - }, - { - "left": "issue:1305", - "right": "issue:5046", - "accept": false, - "reason": "Both reference diffusion-editing papers, but they are distinct methods and support requests." + "reason": "An SDXL pipeline error and missing `final_offload_hook` are different runtime failures with no shared concrete code path." } ] }, @@ -69388,17 +69278,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10054", + "issue:10303", "issue:10659", "issue:10674", "issue:1106", "issue:11398", - "issue:11627", "issue:11642", "issue:12299", - "issue:12895", + "issue:1305", "issue:1310", "issue:1405", "issue:1805", @@ -69419,17 +69309,17 @@ "issue:462", "issue:4868", "issue:4933", + "issue:5046", "issue:5570", - "issue:5607", "issue:5743", "issue:5897", "issue:6008", "issue:6584", "issue:6809", "issue:7276", + "issue:7460", "issue:7492", "issue:7497", - "issue:7686", "issue:801", "issue:9164", "issue:9358", @@ -69439,6 +69329,8 @@ "issue:9974" ], "soft_pairs": [ + "issue:10303|issue:7460", + "issue:1305|issue:5046", "issue:1805|issue:3043", "issue:3391|issue:4868", "issue:5570|issue:6008", @@ -69460,189 +69352,190 @@ "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:4219|issue:6584" ], - "prepared_review_unit_hash": "eb7bad0fe32357c63d9601dcd33ace44c555a19be4b8b5da7a2ee482dc177cde", + "prepared_review_unit_hash": "eaeb18a6c5fc137cfc218785e7aa0f2a4ed0d04b88b2981122327984653ee218", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33384, - "estimated_input_tokens": 8346, - "estimated_eval_tokens": 16948 + "serialized_chars": 33221, + "estimated_input_tokens": 8306, + "estimated_eval_tokens": 16868 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a set of mostly unrelated issues that only look similar at the title/wording level. None of the soft pairs appear to describe the same underlying bug or change, so all soft edges should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "The set is mostly a grab bag of unrelated bugs/features. I only see one plausible duplicate pair around `enable_attention_slicing()` regressions; the rest target different models, pipelines, or failure modes.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 1405 is the broadest and earliest report of the attention-slicing regression, so it is the best umbrella representative for the one plausible duplicate pair.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "1405 best captures the shared code-path problem (`enable_attention_slicing()` not being honored) and is the most general reproduction among the issues here.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10303", + "right": "issue:7460", + "accept": false, + "reason": "Different components and failures: attention tensor permutation in `head_to_batch_dim` vs AdaLayerNorm behavior." + }, + { + "left": "issue:1305", + "right": "issue:5046", + "accept": false, + "reason": "Both are image-editing related, but they describe different methods/proposals (`Direct Inversion` vs `DragonDiffusion`) rather than the same bug or change." + }, { "left": "issue:1805", "right": "issue:3043", "accept": false, - "reason": "Different feature requests: scalable diffusion pipeline vs ODISE integration; no shared bug or code path." + "reason": "Unrelated requests: a scalable diffusion pipeline vs adding ODISE." }, { "left": "issue:3391", "right": "issue:4868", "accept": false, - "reason": "Unrelated problems: DeepFloyd super-resolution overexposure vs a superclass __getattr__ AttributeError." + "reason": "Different failure modes and areas: overexposure in DeepFloyd SR vs an `__getattr__` AttributeError." }, { "left": "issue:5570", "right": "issue:6008", "accept": false, - "reason": "Different failures in different areas: missing compute_snr package symbol vs IP-Adapter/LCM LoRA regression." + "reason": "Unrelated package/API issues: missing `compute_snr` vs IP-Adapter/LCM-LoRA inference failure." }, { "left": "issue:10054", "right": "issue:9974", "accept": false, - "reason": "Unrelated scheduler test bug vs ControlNet SD3 parameter support request." + "reason": "Different scheduler/config problems: wrong `torch.linspace` parameters in EulerDiscreteScheduler vs SD3 controlnet expected-parameter handling." }, { "left": "issue:1310", "right": "issue:1990", "accept": false, - "reason": "Stable Diffusion/K-Diffusion behavior bug vs a pipeline proposal; not the same issue." + "reason": "Both are pipeline ideas, but they are distinct proposals for different workflows and do not describe the same change." }, { "left": "issue:2331", "right": "issue:3043", "accept": false, - "reason": "ControlNet pipeline request vs ODISE support request; same broad domain but different changes." + "reason": "Both mention pipelines, but one is ControlNet support and the other is ODISE; these are separate feature requests." }, { "left": "issue:3113", "right": "issue:7497", "accept": false, - "reason": "Layout control via cross-attention guidance vs fine-grained subject attribute control; distinct proposals." + "reason": "Different research/feature requests with different goals and code paths." }, { "left": "issue:12299", "right": "issue:9443", "accept": false, - "reason": "Both concern SD3, but one is a tensor mismatch with negative prompt embeddings and the other is tokenizer instantiation; different bugs." + "reason": "Distinct SD3 issues: tensor mismatch with negative prompt embeddings vs tokenizer slow/fast instantiation." }, { "left": "issue:4542", "right": "issue:6809", "accept": false, - "reason": "SDXL img2img multi-image generation bug vs LoRA adapter loading under PEFT; unrelated code paths." + "reason": "Different bugs: SDXL img2img multi-image generation vs LoRA adapter loading under PEFT." }, { "left": "issue:7276", "right": "issue:9548", "accept": false, - "reason": "Dreambooth network/model download error vs Flux Dreambooth LoRA training issue; not the same failure." + "reason": "Different Dreambooth/Flux problems with different symptoms; not the same underlying bug." }, { "left": "issue:4933", "right": "issue:954", "accept": false, - "reason": "Dreambooth checkpoint export problem vs a generic login/loading issue; no concrete overlap." + "reason": "Completely different areas: missing model artifact after training vs login/load failure." }, { "left": "issue:9164", "right": "issue:9358", "accept": false, - "reason": "Both involve Flux Dreambooth LoRA, but one is convergence/training behavior and the other is redundant text encoder reinitialization; different bugs." + "reason": "Both involve Flux Dreambooth LoRA, but one is convergence on a sample prompt and the other is redundant text-encoder reinitialization; not clearly the same bug." }, { "left": "issue:1106", "right": "issue:2459", "accept": false, - "reason": "Both mention repeated attention/model usage, but one is PNDM inference behavior and the other is xFormers in a training script; not the same bug." + "reason": "Different code paths: PNDM repeatedly calling UNet vs xFormers attention in a training script." }, { "left": "issue:2532", "right": "issue:2579", "accept": false, - "reason": "Panorama pipeline get_views bug vs a vague xFormers bug/misuse report; insufficient concrete overlap." + "reason": "Panorama `get_views` bug and a possible xFormers issue are unrelated." }, { "left": "issue:389", "right": "issue:462", "accept": false, - "reason": "README example breakage vs Apple MPS img2img regression; different contexts and code paths." + "reason": "README example breakage is not the same as the Apple MPS img2img regression." }, { "left": "issue:4551", "right": "issue:5743", "accept": false, - "reason": "DreamBooth SDXL crash vs latent consistency distillation training stuck at 0%; unrelated training failures." + "reason": "Different training failures: DreamBooth crash on SDXL base vs latent consistency distillation stuck at 0%." }, { "left": "issue:10659", "right": "issue:10674", "accept": false, - "reason": "Both are user-facing generation problems, but ConsisID output quality and FluxPipeline GGUF support are different pipelines and bugs." + "reason": "Different models and symptoms: poor ConsisID output vs FluxPipeline/GGUF incompatibility." }, { "left": "issue:11398", "right": "issue:11642", "accept": false, - "reason": "Different Flux bugs: missing config/attn processor support vs prompt_embeds_scale having no effect." + "reason": "Both are Flux-related, but one is missing config/set_default_attn_processor support and the other is `prompt_embeds_scale` having no effect; separate issues." }, { "left": "issue:2068", "right": "issue:3861", "accept": false, - "reason": "Same API area, but one is dtype conversion in from_pretrained and the other is a typo/alternate from_pretrained naming question." + "reason": "`from_pretrained` dtype conversion behavior is unrelated to the `Pipeline.from_pretrained` naming/question." }, { "left": "issue:1405", "right": "issue:801", - "accept": false, - "reason": "Both involve attention slicing, but one is main-branch breakage and the other is inpainting/img2img not honoring it; not clearly the same defect." + "accept": true, + "reason": "Both report the same underlying regression: `enable_attention_slicing()` is not being respected in pipeline inference, with one broader report and one that calls out inpainting/img2img specifically." }, { "left": "issue:5897", "right": "issue:7492", "accept": false, - "reason": "Device-mismatch LoRA training error vs a missing Hugging Face repository URL; unrelated root causes." + "reason": "LoRA device-mismatch training error and a Hugging Face repository-not-found error are unrelated." }, { "left": "issue:4219", "right": "issue:6584", "accept": false, - "reason": "ControlNet checkpoint conversion support vs DreamShaper inpaint model conversion; related area but different requests." - }, - { - "left": "issue:11627", - "right": "issue:12895", - "accept": false, - "reason": "Both SD3-related, but one is an IP-Adapter integration issue and the other is a num_images_per_prompt crash with batched prompts; different bugs." - }, - { - "left": "issue:5607", - "right": "issue:7686", - "accept": false, - "reason": "Tensor size mismatch during runtime vs a UNet constructor ValueError about cross_attention_dim; not the same problem." + "reason": "Both concern conversion tooling, but they are different checkpoint/model cases and do not clearly indicate the same bug or change." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative on the soft-edge pairs. The only accepted duplicate, issue:1405 vs issue:801, is well supported by the titles and the summary does not overclaim beyond that. The other pairwise rejections are plausible and appropriately cautious." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -69657,7 +69550,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10112", @@ -69667,9 +69560,11 @@ "issue:10897", "issue:1106", "issue:11220", + "issue:11627", "issue:1188", "issue:12071", "issue:12149", + "issue:12895", "issue:1298", "issue:13034", "issue:1675", @@ -69690,24 +69585,24 @@ "issue:4042", "issue:4052", "issue:4069", - "issue:4125", "issue:4303", "issue:4542", "issue:477", "issue:5374", "issue:5405", + "issue:5607", "issue:6113", - "issue:6157", - "issue:6288", "issue:6793", "issue:7428", "issue:7562", + "issue:7686", "issue:8236", "issue:8801", - "issue:9092", "issue:9822" ], "soft_pairs": [ + "issue:11627|issue:12895", + "issue:5607|issue:7686", "issue:10382|issue:6793", "issue:2695|issue:2712", "issue:3958|issue:7562", @@ -69729,182 +69624,180 @@ "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:4052|issue:5405" ], - "prepared_review_unit_hash": "3b4ccf2ac8cb4077293cf85c3ff6b9d81a73a1b2bc94693627b2367af8d0d5f7", + "prepared_review_unit_hash": "7b4f5ef4b06c7779bbb31c1cd229db1e4a9c6f9e93e1c8f0116504caf3c3ecd0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33123, - "estimated_input_tokens": 8281, - "estimated_eval_tokens": 16818 + "serialized_chars": 33314, + "estimated_input_tokens": 8329, + "estimated_eval_tokens": 16914 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate or mergeable issue/PR pair is supported here; the soft-similarity pairs mostly share a subsystem keyword but describe different bugs, feature requests, or docs/training questions.", + "summary": "This cluster is a loose collection of unrelated diffusers issues spanning model support requests, training bugs, pipeline regressions, docs, and scheduler/config problems. The proposed soft pairs are mostly superficial title similarity and do not describe the same underlying defect or change.", "confidence": 0.97, "canonical_issue_reason": null, "canonical_pr_reason": null, "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11627", + "right": "issue:12895", + "accept": false, + "reason": "Both mention StableDiffusion3Pipeline, but one is a specific InstantX IP-Adapter support request and the other is a num_images_per_prompt batched-prompt crash; different bugs/changes." + }, + { + "left": "issue:5607", + "right": "issue:7686", + "accept": false, + "reason": "Both are runtime errors, but the first is a tensor shape mismatch in a pipeline and the second is a UNet config/cross-attention initialization error; unrelated code paths." + }, { "left": "issue:10382", "right": "issue:6793", "accept": false, - "reason": "VAE forward return-type AttributeError is unrelated to Hydra config serialization failure." + "reason": "One reports VAE forward return-type AttributeError, the other is a Hydra serialization problem; not the same issue." }, { "left": "issue:2695", "right": "issue:2712", "accept": false, - "reason": "Both concern training/configuration, but one is a TensorBoard validation failure and the other is a missing config field; different root causes." + "reason": "ControlNet validation/tensorboard behavior and missing norm_num_groups config are different training/configuration problems." }, { "left": "issue:3958", "right": "issue:7562", "accept": false, - "reason": "Both mention CPU offload, but one is about LoRA loading and the other is a multicontrolnet failure in SDXL img2img." + "reason": "Both involve offload and adapters, but one is LoRA with enable_model_cpu_offload and the other is multicontrolnet offload failure; not the same concrete bug." }, { "left": "issue:10010", "right": "issue:9822", "accept": false, - "reason": "A missing FLUX Fill model_index.json for an example is not the same problem as loading SDXL LoRAs into Flux." + "reason": "FLUX Fill model_index.json 404 vs loading SDXL LoRAs into Flux are unrelated compatibility/model-loading issues." }, { "left": "issue:10112", "right": "issue:7428", "accept": false, - "reason": "Detail-Daemon issue is unrelated to a feature request for layer diffusion support." + "reason": "The first is an unclear diffusers discussion issue, while the second is a request to support layer diffusion; no shared defect." }, { "left": "issue:10752", "right": "issue:13034", "accept": false, - "reason": "FP16 gradient unscale bug is unrelated to WanPipeline height/width handling." + "reason": "FP16 gradient unscale failure and WanPipeline height/width handling are different bugs." }, { "left": "issue:10855", "right": "issue:12071", "accept": false, - "reason": "Gradient accumulation causing optimizer.step() every step is unrelated to a FLUX transformer forward-behavior change." + "reason": "Gradient accumulation causing optimizer.step every step is unrelated to Flux Kontext transformer forward behavior changes." }, { "left": "issue:10897", "right": "issue:8801", "accept": false, - "reason": "Two separate model support requests with different targets; not the same bug or change." + "reason": "Both are feature requests for different models (SkyReels-A1 vs Kolors); not duplicates." }, { "left": "issue:1106", "right": "issue:2163", "accept": false, - "reason": "Repeated UNet calls in PNDM is a scheduler behavior issue, not the dtype mismatch seen in text-to-image training." + "reason": "PNDM repeatedly calling UNet and a dtype mismatch during text-to-image training are separate problems." }, { "left": "issue:11220", "right": "issue:12149", "accept": false, - "reason": "Broken documentation page and pip/source version mismatch are different issues." + "reason": "Broken docs page and pip/source version mismatch are distinct release/documentation issues." }, { "left": "issue:1188", "right": "issue:2800", "accept": false, - "reason": "A pipeline feature request for CLIPSeg x Stable Diffusion is distinct from DiffEdit image-editing support." + "reason": "CLIPSeg x Stable Diffusion pipeline request and DiffEdit pipeline request are different additions." }, { "left": "issue:1298", "right": "issue:4542", "accept": false, - "reason": "Broken SD img2img after a change is not the same as SDXL Img2Img producing only one image." + "reason": "Both concern img2img pipelines, but one is a regression in Stable Diffusion img2img and the other is SDXL img2img output count limitation; different failures." }, { "left": "issue:1675", "right": "issue:5374", "accept": false, - "reason": "Model conversion state-dict errors do not match an unexpected checkpoint_path argument error." + "reason": "Model conversion state-dict error and unexpected checkpoint_path argument are unrelated conversion/API issues." }, { "left": "issue:176", "right": "issue:4069", "accept": false, - "reason": "Missing Glide pipeline and unloading a textual inversion checkpoint are unrelated concerns." + "reason": "Glide pipeline missing and unloading a textual inversion checkpoint are not the same bug." }, { "left": "issue:1949", "right": "issue:4303", "accept": false, - "reason": "Dreambooth tutorial training errors are not the same as a Flax pipeline crash loading SDXL." + "reason": "DreamBooth tutorial training errors and FlaxStableDiffusionPipeline loading SDXL are different subsystems and failures." }, { "left": "issue:2153", "right": "issue:477", "accept": false, - "reason": "Float16 incompatibility on GTX 1660 is unrelated to the PNDM off-by-one scheduler bug." + "reason": "GPU float16 compatibility and a PNDM off-by-one scheduler error are unrelated." }, { "left": "issue:2377", "right": "issue:338", "accept": false, - "reason": "EMAModel test coverage request and LMS Discrete test request are different test additions." + "reason": "Both ask for tests, but for different components (EMAModel vs LMS Discrete); not duplicates." }, { "left": "issue:2377", "right": "issue:339", "accept": false, - "reason": "EMAModel tests and Karras VE tests are separate test tasks." + "reason": "Same as above: different test targets, no shared underlying bug/change." }, { "left": "issue:2856", "right": "issue:6113", "accept": false, - "reason": "Converting an SD model to diffusers is not the same as using sd_control_collection models in diffusers." + "reason": "Model conversion failure and how to use a control-model repo in diffusers are distinct user problems." }, { "left": "issue:3112", "right": "issue:4042", "accept": false, - "reason": "Multi-ControlNet inpainting is not the same as combining reference-only, inpainting, and depth control." + "reason": "Both touch ControlNet composition, but one requests multi-ControlNet inpainting and the other asks how to combine reference-only with inpainting and depth; related area, not the same change." }, { "left": "issue:3565", "right": "issue:8236", "accept": false, - "reason": "CUDA OOM during text-to-image training is unrelated to the multi-GPU step-count scheduler bug." + "reason": "OOM in text-to-image training and wrong LR scheduler step count on multi-GPU are different training issues." }, { "left": "issue:4052", "right": "issue:5405", "accept": false, - "reason": "Missing from_single_file attribute and SDXL weights not overwriting are different single-file loading problems." - }, - { - "left": "issue:4125", - "right": "issue:6288", - "accept": false, - "reason": "A loss-curve question during LoRA fine-tuning is not the same as an overly small default learning rate issue." - }, - { - "left": "issue:6157", - "right": "issue:9092", - "accept": false, - "reason": "IP-Adapter not working in ControlNet img2img is unrelated to a missing model_index.json in FluxPipeline." + "reason": "Missing from_single_file API and sdxl.from_single_file not overwriting weights are different bugs." } ] }, @@ -69926,7 +69819,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10767", "issue:1109", @@ -69951,33 +69844,35 @@ "issue:351", "issue:3566", "issue:3767", + "issue:4125", "issue:4134", "issue:4376", "issue:4414", "issue:460", "issue:4880", "issue:5372", - "issue:5414", "issue:5761", "issue:5798", - "issue:5857", "issue:6068", "issue:6090", "issue:6091", + "issue:6157", + "issue:6288", "issue:6463", - "issue:6548", "issue:7428", "issue:7619", "issue:7802", "issue:7872", - "issue:7895", "issue:8589", "issue:8708", "issue:8837", + "issue:9092", "issue:9551", "issue:9895" ], "soft_pairs": [ + "issue:4125|issue:6288", + "issue:6157|issue:9092", "issue:6463|issue:8708", "issue:7428|issue:7802", "issue:8589|issue:8837", @@ -70000,195 +69895,196 @@ "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:4414|issue:6091" ], - "prepared_review_unit_hash": "f3f1fa8e8ac28431b9f6bba5149f6f6f72e61345c0027dce7bf0f9739b37b06b", + "prepared_review_unit_hash": "988ab67530a5032173ad2bac14be7735e4c21350b3f59907b597d3bf5257357f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34367, - "estimated_input_tokens": 8592, - "estimated_eval_tokens": 17440 + "serialized_chars": 34295, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly unrelated issue reports spanning different Diffusers subsystems. The only clear duplicate-like pair is the two checkpoint write-error reports (#2661/#2662); the broader/general one is the best canonical issue candidate.", - "confidence": 0.83, - "canonical_issue_reason": "Issue #2662 has the broader title, more discussion, and appears to describe the same checkpoint-saving write error as #2661, making it the best canonical issue in this set.", + "summary": "This cluster is mostly heterogeneous Diffusers issues with only a couple of plausible duplicate pairs. The strongest duplicate is the checkpoint write-error pair (2661/2662); a second likely duplicate is the DreamBooth channel-mismatch pair (6090/7619).", + "confidence": 0.91, + "canonical_issue_reason": "No single cluster-wide canonical issue fits well because the items span many unrelated bugs and feature requests; among the clear duplicates, issue 2662 is the broader representative for the checkpoint write-error bug.", "canonical_pr_reason": null, - "best_issue_reason": "#2662 is the most suitable global issue representative because it is the more general and more active version of the duplicate checkpoint-saving write-error report.", + "best_issue_reason": "Issue 2662 is the best issue representative because it uses the broadest wording for the checkpoint save/write-error problem and is the cleanest anchor for deduping its pair.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4125", + "right": "issue:6288", + "accept": false, + "reason": "Both are LoRA-training questions, but one is about loss curves and the other about default learning rate; not the same bug/change." + }, + { + "left": "issue:6157", + "right": "issue:9092", + "accept": false, + "reason": "ControlNet/IP-Adapter behavior vs a missing model_index.json error are different problems." + }, { "left": "issue:6463", "right": "issue:8708", "accept": false, - "reason": "Different topics: missing audio_diffusion pipeline vs missing SD3 VAE shift_factor in DreamBooth examples." + "reason": "Unrelated topics: missing audio_diffusion pipeline vs SD3 dreambooth VAE shift_factor." }, { "left": "issue:7428", "right": "issue:7802", "accept": false, - "reason": "One is a feature/support request for layer diffusion; the other is a scheduler support request. Not the same change." + "reason": "Feature request for layer diffusion support is unrelated to an OLSS scheduler request." }, { "left": "issue:8589", "right": "issue:8837", "accept": false, - "reason": "Different bugs in different areas: DreamBooth prior preservation vs SlicedAttnProcessor behavior." + "reason": "DreamBooth prior-preservation bug and SlicedAttnProcessor bug are different code paths." }, { "left": "issue:2661", "right": "issue:3296", "accept": false, - "reason": "Both involve checkpoint-related workflows, but one is a write error and the other is DreamBooth save/load with text_encoder; not the same concrete bug." + "reason": "Both mention checkpointing, but 3296 is a DreamBooth text_encoder save/load issue, not the same write-error bug as 2661." }, { "left": "issue:2662", "right": "issue:3296", "accept": false, - "reason": "Same as above: checkpoint write error versus DreamBooth checkpoint save/load failure are related but distinct." + "reason": "Checkpoint write error vs DreamBooth text_encoder checkpoint save/load failure are distinct failures." }, { "left": "issue:3428", "right": "issue:3566", "accept": false, - "reason": "Both mention unexpected results in pipelines, but they concern different pipelines and different functionality." + "reason": "Different pipelines and symptoms; this is not the same underlying bug." }, { "left": "issue:4880", "right": "issue:5798", "accept": false, - "reason": "Both are ControlNet pipeline issues, but one is an input-type validation error and the other is an unexpected callback keyword error." + "reason": "One is a ControlNet image-argument TypeError, the other is a callback keyword-argument API mismatch." }, { "left": "issue:11945", "right": "issue:9895", "accept": false, - "reason": "Different failure modes and environments: floating point exception with nightly PyTorch/CUDA versus FluxPipeline device mismatch." + "reason": "Nightly PyTorch/CUDA floating-point exception vs FluxPipeline device mismatch are different runtime errors." }, { "left": "issue:1109", "right": "issue:460", "accept": false, - "reason": "CPU utilization issue is unrelated to ONNX runtime backend selection." + "reason": "CPU core utilization and ONNX CUDA/CPU runtime selection are unrelated." }, { "left": "issue:4414", "right": "issue:5761", "accept": false, - "reason": "A sample request for consistency models is not the same as a complaint about the cost of the consistency decoder." + "reason": "Consistency-model sample request and consistency-decoder cost discussion are not the same issue." }, { "left": "issue:11410", "right": "issue:7872", "accept": false, - "reason": "A specific attention_processor unpacking error is not the same as a general version/package report." + "reason": "A specific attention __call__ unpacking ValueError is unrelated to a version-tag issue." }, { "left": "issue:1541", "right": "issue:3767", "accept": false, - "reason": "DreamBooth MODEL_TYPE loading failure is unrelated to FrozenDict mutability." + "reason": "DreamBooth model-type detection failure is unrelated to FrozenDict mutability." }, { "left": "issue:11148", "right": "issue:13279", "accept": false, - "reason": "Different PEFT/transformers loading issues with different symptoms and code paths." + "reason": "PEFT adapter state handling and AutoencoderRAE loading with older transformers are different bugs." }, { "left": "issue:3116", "right": "issue:6068", "accept": false, - "reason": "Both are sampling quality bugs, but they involve different schedulers, pipelines, and failure conditions." + "reason": "KDPM2DiscreteScheduler image2image noise issue is not the same as SDXL DDIM sample correctness." }, { "left": "issue:6090", "right": "issue:7619", - "accept": false, - "reason": "Both mention channel mismatches, but one is a specific runtime shape error and the other is a DreamBooth training issue; not clearly the same bug." + "accept": true, + "reason": "Both report the same underlying channel-mismatch problem (8 channels expected, 4 provided) in DreamBooth/related diffusion code." }, { "left": "issue:1195", "right": "issue:1611", "accept": false, - "reason": "Memory-efficient attention with fp16 weights is unrelated to the StableDiffusionMegaPipeline regression." + "reason": "fp16 memory-efficient attention and StableDiffusionMegaPipeline regressions are not the same failure." }, { "left": "issue:1519", "right": "issue:4134", "accept": false, - "reason": "Different Apple/MPS problems: noisy batch outputs versus ControlNet tensor-size mismatch." + "reason": "Apple MPS issues in both, but noisy batch outputs and ControlNet tensor-size mismatch are different bugs." }, { "left": "issue:1323", "right": "issue:1674", "accept": false, - "reason": "Flax dtype-loading bug and Dreambooth scheduling/DPMSolver loading issue are different problems." + "reason": "Loading Flax models without dtype and DreamBooth scheduling/config loading are unrelated." }, { "left": "issue:4376", "right": "issue:5372", "accept": false, - "reason": "Textual inversion crash in SDXL and safety_checker usage question are unrelated." + "reason": "Textual inversion crash in SDXL and safety_checker usage questions are different issues." }, { "left": "issue:10767", "right": "issue:9551", "accept": false, - "reason": "FlashVideo <> Diffusers and Flux controlnet usage are not the same underlying issue." + "reason": "Flux-related community pipeline topics, but not the same concrete bug or change." }, { "left": "issue:1811", "right": "issue:3064", "accept": false, - "reason": "Weight-file selection during from_pretrained is unrelated to loading a safetensors LoRA." + "reason": "Weight-selection behavior in from_pretrained vs loading a safetensors LoRA are distinct problems." }, { "left": "issue:2769", "right": "issue:351", "accept": false, - "reason": "Model conversion corruption and direct CUDA loading are different issues." + "reason": "Checkpoint conversion corruption and CUDA loading behavior are unrelated." }, { "left": "issue:4414", "right": "issue:6091", "accept": false, - "reason": "Consistency model sampling request is unrelated to consistency decoder memory size behavior." - }, - { - "left": "issue:5414", - "right": "issue:7895", - "accept": false, - "reason": "Broken PEFT set_adapters(weights) and Flax memory-efficient attention are separate bugs." - }, - { - "left": "issue:5857", - "right": "issue:6548", - "accept": false, - "reason": "LCM LoRA behavior in AnimateDiff SDXL is unrelated to RGBA image handling in prepare_latents." + "reason": "Consistency-model sampling and consistency-decoder memory-size handling are different concerns." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the cluster is heterogeneous, and 2662 is a reasonable broader representative for the checkpoint write-error duplicate pair. The soft-edge verdicts are mostly conservative, and the accepted 6090/7619 pair is defensible from the titles as a DreamBooth channel-mismatch duplicate." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -70203,7 +70099,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1037", "issue:10518", @@ -70223,28 +70119,28 @@ "issue:2578", "issue:3222", "issue:3537", - "issue:381", "issue:4014", "issue:4297", - "issue:435", "issue:4478", "issue:4534", "issue:4593", "issue:4932", - "issue:4957", "issue:5008", "issue:5043", - "issue:5064", "issue:5079", + "issue:5414", "issue:562", + "issue:5857", "issue:5968", "issue:6518", + "issue:6548", "issue:6616", "issue:6749", "issue:7210", "issue:7589", "issue:7666", "issue:7757", + "issue:7895", "issue:7972", "issue:8463", "issue:8615", @@ -70254,6 +70150,8 @@ "issue:984" ], "soft_pairs": [ + "issue:5414|issue:7895", + "issue:5857|issue:6548", "issue:4478|issue:7972", "issue:4593|issue:6749", "issue:1037|issue:5043", @@ -70275,182 +70173,180 @@ "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:2578|issue:984" ], - "prepared_review_unit_hash": "b10dabf29000dbf5e81b8f7365383634f1b5a4c04e0b9b8a088b353f1bfbe7aa", + "prepared_review_unit_hash": "96705845007fa804b8dbda05f86e590393b292c0ca264025814e6ccc07a552c7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33601, - "estimated_input_tokens": 8401, - "estimated_eval_tokens": 17058 + "serialized_chars": 33587, + "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 does not contain a single duplicate set; the soft pairs are mostly superficial title matches across unrelated bugs, feature requests, and scripts. I would reject all proposed edges.", - "confidence": 0.96, + "summary": "These items are not duplicates of one another; the cluster is a loose lexical-similarity bucket containing unrelated issues across different pipelines, schedulers, training scripts, and environment bugs. All soft edges should be rejected.", + "confidence": 0.98, "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:12195 is the strongest standalone report: it is concrete, version-specific, and clearly describes a reproducible runtime regression in AutoencoderKL with PyTorch 2.3.1.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5414", + "right": "issue:7895", + "accept": false, + "reason": "PEFT adapter weighting vs Flax attention are unrelated subsystems and failure modes." + }, + { + "left": "issue:5857", + "right": "issue:6548", + "accept": false, + "reason": "An LCM LoRA quality issue is unrelated to an img2img latent-vs-image RGBA bug." + }, { "left": "issue:4478", "right": "issue:7972", "accept": false, - "reason": "Both are SDXL runtime/type-mismatch complaints, but they hit different code paths and different features (from_pretrained bias/input types vs LEDITS++)." + "reason": "SDXL initialization dtype mismatch is not the same as LEDITS++ type mismatch." }, { "left": "issue:4593", "right": "issue:6749", "accept": false, - "reason": "LoRA rank-loading failure and an InstantID replication issue are different models and different bugs." + "reason": "LoRA rank-loading error is unrelated to an InstantID reproduction issue." }, { "left": "issue:1037", "right": "issue:5043", "accept": false, - "reason": "A community-pipeline addition request is unrelated to a Wurstchen LoRA finetuning request." + "reason": "A community pipeline request is unrelated to a Wurstchen LoRA feature request." }, { "left": "issue:10518", "right": "issue:8671", "accept": false, - "reason": "One is a bug in an SD3 LoRA training script; the other is a code-cleanup note in a different SD3 script." + "reason": "A broken SD3 Colab script is not the same as redundant code in train_dreambooth_lora_sd3.py." }, { "left": "issue:10640", "right": "issue:7210", "accept": false, - "reason": "Both involve multi-GPU/model wrapping, but the failures are different: DataParallel on FluxInpaint vs accelerate dispatch on SDXL." + "reason": "DataParallel on FluxInpaintPipeline is unrelated to accelerate.load_checkpoint_and_dispatch on SDXL." }, { "left": "issue:12149", "right": "issue:12195", "accept": false, - "reason": "Packaging/source-code mismatch and a torch.custom_op compatibility error are unrelated environment problems." + "reason": "Source/package version mismatch is a different problem from the torch.library.custom_op regression." }, { "left": "issue:1344", "right": "issue:1755", "accept": false, - "reason": "The second item is not a substantive related bug report; there is no shared underlying issue." + "reason": "Multi-GPU attention support and a non-English generic issue are unrelated." }, { "left": "issue:3537", "right": "issue:5968", "accept": false, - "reason": "These are both conversion utilities, but one is ControlNet conversion and the other is Text2Video/Img2Video ONNX export." + "reason": "A ControlNet conversion script request is unrelated to an ONNX video conversion script request." }, { "left": "issue:5008", "right": "issue:6616", "accept": false, - "reason": "A TryOnDiffusion implementation proposal is not the same change as a classifier-guidance proposal." + "reason": "TryOnDiffusion implementation discussion is unrelated to adding classifier guidance." }, { "left": "issue:7666", "right": "issue:8786", "accept": false, - "reason": "Custom pipeline loading from a single file and SD3 token-length behavior are different problems." + "reason": "from_single_file support for a custom pipeline is unrelated to SD3 token-length behavior." }, { "left": "issue:4014", "right": "issue:4297", "accept": false, - "reason": "Both mention artifacts/watermarks, but one is SDXL watermark pixel artifacts and the other is batched img2img fishnet artifacts; not the same bug." + "reason": "General SDXL watermark artifacts and batched img2img fishnet artifacts are different concrete bugs." }, { "left": "issue:11208", "right": "issue:7589", "accept": false, - "reason": "Unsupported MultiControlNetModel in an SD3 inpainting pipeline is unrelated to GLIGEN layout synthesis failures." + "reason": "MultiControlNet support in SD3 inpainting is unrelated to GLIGEN layout-to-image failure." }, { "left": "issue:11839", "right": "issue:12995", "accept": false, - "reason": "FluxKontext gguf input-size errors and Cosmos-Predict2.5 video semantics are different issues." + "reason": "GGUF input-size loading failure is unrelated to a Cosmos-Predict2.5 pipeline usage question." }, { "left": "issue:1755", "right": "issue:1990", "accept": false, - "reason": "No meaningful overlap; the pair is not the same bug or feature." + "reason": "A generic issue title is unrelated to a depth-to-image variation pipeline proposal." }, { "left": "issue:2361", "right": "issue:4534", "accept": false, - "reason": "Checkpoint-saving crashes in text-to-image finetuning and a validation crash on MPS are different failure points and scripts." + "reason": "Checkpoint saving crash in a finetuning script is unrelated to SDXL validation on mps." }, { "left": "issue:5079", "right": "issue:8615", "accept": false, - "reason": "Loading LoRA weights and fusing LoRA are distinct features, not the same underlying change." + "reason": "LyCORIS loading support and SD3 fuse_lora support are different adapter/model features." }, { "left": "issue:6518", "right": "issue:8463", "accept": false, - "reason": "A NoneType floor-division error in distillation and a NoneType tokenize error in InstructP2P-SDXL are unrelated." + "reason": "LCM distillation NoneType error is unrelated to a tokenizer NoneType error in InstructP2P-SDXL." }, { "left": "issue:1742", "right": "issue:1974", "accept": false, - "reason": "Inference speed variability and Euler scheduler generator handling are different bugs." + "reason": "Inference speed variability for repeated prompts is unrelated to Euler scheduler generator-list handling." }, { "left": "issue:3222", "right": "issue:4932", "accept": false, - "reason": "Both mention missing saved weights, but custom diffusion and Dreambooth are different training flows and artifacts." + "reason": "Missing custom diffusion weights after training is unrelated to Dreambooth not returning pytorch_model.bin." }, { "left": "issue:7757", "right": "issue:8894", "accept": false, - "reason": "A multi-GPU OOM in train_controlnet_sdxl is unrelated to an error in train_cm_ct_unconditional.py." + "reason": "ControlNet SDXL multi-GPU OOM is unrelated to a train_cm_ct_unconditional script error." }, { "left": "issue:1064", "right": "issue:562", "accept": false, - "reason": "These are scheduler-related, but one reports add_noise errors while the other reports inpaint incompatibility; not the same concrete bug." + "reason": "LMSDiscreteScheduler.add_noise error and StableDiffusionInpaintPipeline/LMS incompatibility are related in theme but not clearly the same concrete bug." }, { "left": "issue:2578", "right": "issue:984", "accept": false, - "reason": "Editable install problems and F.interpolate large-batch failures are unrelated." - }, - { - "left": "issue:381", - "right": "issue:435", - "accept": false, - "reason": "Different notebook errors in different tutorial sections; no shared code-path bug." - }, - { - "left": "issue:4957", - "right": "issue:5064", - "accept": false, - "reason": "Both are disk-space complaints, but they occur in different pipelines and scenarios and do not indicate one underlying bug." + "reason": "Editable install failure is unrelated to an F.interpolate large-batch interpolation bug." } ] }, @@ -70472,17 +70368,14 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10290", "issue:10737", - "issue:10767", - "issue:10860", "issue:10953", "issue:11497", "issue:1161", "issue:1214", - "issue:12221", "issue:12547", "issue:1314", "issue:1875", @@ -70495,13 +70388,17 @@ "issue:3689", "issue:3717", "issue:3767", + "issue:381", "issue:3876", "issue:4210", + "issue:435", "issue:4665", "issue:4701", "issue:4876", + "issue:4957", "issue:4969", "issue:4985", + "issue:5064", "issue:5124", "issue:514", "issue:5162", @@ -70519,10 +70416,11 @@ "issue:7939", "issue:8228", "issue:9089", - "issue:9611", - "issue:9810" + "issue:9611" ], "soft_pairs": [ + "issue:381|issue:435", + "issue:4957|issue:5064", "issue:3279|issue:5124", "issue:5465|issue:9611", "issue:10737|issue:9089", @@ -70544,191 +70442,186 @@ "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:10290|issue:10953" ], - "prepared_review_unit_hash": "601ed74a335bfb023b638e43c12b4fe666d453c4fa9e897e3b7740ae86530550", + "prepared_review_unit_hash": "4082e174959371c7b94cbb5ff009b06c23791ece841ca2d014b229f86af8f44a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33166, - "estimated_input_tokens": 8292, - "estimated_eval_tokens": 16840 + "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": "The cluster is mostly a set of unrelated issue reports that only share broad model/training/loading themes. The Flux/ControlNet torch.compile pair (10290/10953) is only weakly similar from titles alone, so it should be treated as related-but-uncertain, not a confirmed duplicate.", - "confidence": 0.75, - "canonical_issue_reason": "issue:10290 is the clearest user-facing report of the Flux+ControlNet torch.compile failure; issue:10953 may be a related fix hint, but the packet only provides titles, so duplicate status is not established.", + "summary": "This cluster is not a duplicate set; it\u2019s a bag of unrelated issues that only share superficial vocabulary around pipelines, training, Flux, ControlNet, and loading. I would reject all soft-edge merges and avoid selecting a canonical issue/PR for the cluster.", + "confidence": 0.97, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:10290 best represents the cluster because it states the concrete runtime symptom and affected component more directly than the terse transpose/permute note.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:381", + "right": "issue:435", + "accept": false, + "reason": "Different bugs: a notebook section error vs a textual inversion AutoencoderKLOutput attribute error." + }, + { + "left": "issue:4957", + "right": "issue:5064", + "accept": false, + "reason": "Both mention space issues, but one is disk space during ControlNet+inpainting-SDXL and the other is out-of-space using a refiner for inference; different workflows and failure modes." + }, { "left": "issue:3279", "right": "issue:5124", "accept": false, - "reason": "Both are training/checkpoint topics, but one is checkpoint resume and the other is safetensor fine-tuning; different bugs." + "reason": "Checkpoint resume failure in Dreambooth LoRA is unrelated to a question about finetuning a .safetensor checkpoint." }, { "left": "issue:5465", "right": "issue:9611", "accept": false, - "reason": "DiffEdit inpaint_strength handling and Flux image batching are unrelated failure modes." + "reason": "Different pipelines and symptoms: DiffEdit inpaint_strength limitation vs Flux image batching error." }, { "left": "issue:10737", "right": "issue:9089", "accept": false, - "reason": "A missing image_encoder in encode_image and a missing FluxPipeline symbol are different code-path issues." + "reason": "One is missing image_encoder in FluxPipeline.encode_image; the other is FluxPipeline not found at import time." }, { "left": "issue:1161", "right": "issue:5162", "accept": false, - "reason": "Model conversion from Flax to PyTorch is not the same as converting a checkpoint folder to safetensors." + "reason": "Model conversion from Flax to PyTorch is unrelated to a script for converting a folder checkpoint to safetensors." }, { "left": "issue:1314", "right": "issue:4701", "accept": false, - "reason": "xformers backward on Windows and AutoencoderKL float32 CUDA errors are distinct problems." + "reason": "Both are CUDA/precision-related, but one is a Windows xformers backward error and the other is AutoencoderKL decoder differentiation at float32." }, { "left": "issue:2331", "right": "issue:5284", "accept": false, - "reason": "A general ControlNet pipeline request and ControlNet-LLLite support are different feature requests." + "reason": "A general ControlNet pipeline request vs ControlNet-LLLite support; same broad area, but not the same change or bug." }, { "left": "issue:3689", "right": "issue:4876", "accept": false, - "reason": "Unloading LoRA weights and adding a std argument for LoRA layers are separate requests." + "reason": "LoRA unload behavior is unrelated to making LoRA std configurable." }, { "left": "issue:3876", "right": "issue:5558", "accept": false, - "reason": "Both mention ControlNet inpaint, but one is a demo error and the other is multi-ControlNet artifacts; not the same bug." + "reason": "Both involve ControlNet inpainting, but one is a demo error and the other is artifacts with multiple ControlNets; not the same concrete defect." }, { "left": "issue:4969", "right": "issue:514", "accept": false, - "reason": "CrossAttention import failure is unrelated to an attention slicing runtime error." + "reason": "Different import/error contexts: missing CrossAttention vs enable_attention_slicing() throwing an error." }, { "left": "issue:4969", "right": "issue:7177", "accept": false, - "reason": "CrossAttention import failure and StableCascadeDecoderPipeline.from_pretrained error are different issues." + "reason": "Missing CrossAttention import is unrelated to StableCascadeDecoderPipeline.from_pretrained failure." }, { "left": "issue:11497", "right": "issue:12547", "accept": false, - "reason": "Dataset preprocessing cache behavior and a missing --instance_prompt argument are unrelated training-script problems." + "reason": "Unrelated training-script issues: cache depending on irrelevant args vs missing required --instance_prompt argument." }, { "left": "issue:5646", "right": "issue:6598", "accept": false, - "reason": "Scheduler instability versus img2img output differences are not the same concrete bug." + "reason": "Scheduler stability on a specific model is unrelated to img2img result differences vs A1111." }, { "left": "issue:1214", "right": "issue:3767", "accept": false, - "reason": "Half-precision CLIPTextModel failure is unrelated to FrozenDict mutability." + "reason": "Half-precision CLIPTextModel failure is unrelated to FrozenDict mutability semantics." }, { "left": "issue:1922", "right": "issue:4210", "accept": false, - "reason": "An undefined notebook helper and attention_mask usage in UNet forward are unrelated." + "reason": "Notebook undefined function bug is unrelated to a question about attention_mask in UNet2DConditionModel.forward." }, { "left": "issue:2192", "right": "issue:6277", "accept": false, - "reason": "Missing CLI arguments in one training script and broken gradients in another are different issues." + "reason": "Missing dataset_name/caption_column arguments in one script is unrelated to broken gradients in a LoRA training example." }, { "left": "issue:3403", "right": "issue:776", "accept": false, - "reason": "TorchDynamo pipeline loading and image-to-image batch_size>1 failures are different code paths." + "reason": "TorchDynamo pipeline loading issues are not the same as batch_size>1 img2img breakage." }, { "left": "issue:6112", "right": "issue:6149", "accept": false, - "reason": "SDXL-turbo noise and ip-adapter load errors are unrelated." + "reason": "Noisy SDXL-turbo output is unrelated to an ip-adapter-full-face_sd15 load error." }, { "left": "issue:7939", "right": "issue:8228", "accept": false, - "reason": "Both concern loading models, but one is a generic same-folder load failure and the other is a specific from_single_file CLIPTextModel error." + "reason": "Both are loading-related, but one is loading a model from the same folder and the other is from_single_file failing to load CLIPTextModel; different code paths." }, { "left": "issue:1875", "right": "issue:6164", "accept": false, - "reason": "fp16 training type mismatch and latent output handling are distinct bugs." + "reason": "fp16 training type mismatch in Imagic is unrelated to latent output handling in StableDiffusionPipeline." }, { "left": "issue:3717", "right": "issue:4985", "accept": false, - "reason": "Both mention OOM, but they are different training scenarios and scripts." + "reason": "GPU OOM on multi-GPU hardware is unrelated to SDXL InstructPix2Pix training OOM; different scenario and likely different scaling cause." }, { "left": "issue:3383", "right": "issue:4665", "accept": false, - "reason": "Partially downloaded pipeline loading and Windows safetensors/bin selection are separate loading issues." + "reason": "Partial pipeline download handling is unrelated to Windows use_safetensors behavior with alternate .bin files." }, { "left": "issue:10290", "right": "issue:10953", "accept": false, - "reason": "The titles suggest a possible torch.compile-related connection, but the packet only gives titles and there is not enough evidence to confirm the same underlying bug or fix path." - }, - { - "left": "issue:10767", - "right": "issue:12221", - "accept": false, - "reason": "FlashVideo vs Diffusers and DiffSynth ControlNet support are different integration requests." - }, - { - "left": "issue:10860", - "right": "issue:9810", - "accept": false, - "reason": "LoRA usability in ComfyUI and module_to_save() support are related broadly, but not the same concrete bug." + "reason": "Torch.compile incompatibility for Flux+ControlNet is unrelated to a code-style/performance suggestion to use permute instead of transpose." } ] }, - "evaluator_result": { - "accept": false, - "feedback": "Most soft-edge rejections are conservative and grounded in the packet. However, the accepted 10290/10953 pair is overstated: the packet only gives titles, and while they may be related, there is not enough evidence to confidently say they describe the same bug or the same torch.compile compatibility path. Please downgrade that verdict to conservative uncertainty rather than accept." - }, - "evaluator_used": true, - "retried": true, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null @@ -70744,18 +70637,20 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10057", "issue:10165", - "issue:10226", "issue:10239", + "issue:10767", + "issue:10860", "issue:1111", "issue:11247", "issue:11592", "issue:11864", "issue:12108", "issue:12157", + "issue:12221", "issue:12338", "issue:1574", "issue:1790", @@ -70768,21 +70663,18 @@ "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:6452", "issue:6530", "issue:660", "issue:7009", - "issue:7138", "issue:7191", "issue:7228", "issue:7640", @@ -70792,9 +70684,12 @@ "issue:8879", "issue:8900", "issue:9370", - "issue:953" + "issue:953", + "issue:9810" ], "soft_pairs": [ + "issue:10767|issue:12221", + "issue:10860|issue:9810", "issue:2402|issue:660", "issue:4080|issue:6452", "issue:7640|issue:8879", @@ -70816,182 +70711,180 @@ "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:10165|issue:8464" ], - "prepared_review_unit_hash": "3015dc1086d65351a88ef8a4d77d8e5f2fd796b3a1efd31800b85f8085e28329", + "prepared_review_unit_hash": "4853dfb235d9bf16ee3e99343ac6149984f6e2fa23a6153ddc95050ce37e2fb8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33378, - "estimated_input_tokens": 8345, - "estimated_eval_tokens": 16946 + "serialized_chars": 33322, + "estimated_input_tokens": 8331, + "estimated_eval_tokens": 16918 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is very heterogeneous: it mixes unrelated model-loading, training, memory, controlnet, and utility bugs. None of the soft pairs look like true duplicates, so I rejected them all. If forced to anchor the set, the most concrete issue is the FluxTransformer2DModel.from_single_file report, but it is not a real representative for the whole cluster.", - "confidence": 0.88, - "canonical_issue_reason": "Issue 10057 is the most concrete, reproducible bug report in the set (FluxTransformer2DModel.from_single_file token/loading path), but the surrounding items are too diverse for a true canonical duplicate.", + "summary": "This cluster is mostly noisy: the items share broad Diffusers/Flux/ControlNet/LoRA themes, but they describe different code paths, platforms, and failure modes rather than the same underlying bug or change.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10057 is the most concrete, narrowly scoped bug report in the set (a specific FluxTransformer2DModel.from_single_file token problem) and is a reasonable cluster head, though the cluster itself is not truly coherent.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10057 is the best single anchor because it is narrowly scoped and actionable; however, the cluster does not have a strong shared underlying bug, so this is only a weak representative.", + "best_issue_reason": "10057 is the clearest actionable issue: it names a specific model class and method, implies a reproducible loading path, and is more bug-like than the feature requests or broad compatibility reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10767", + "right": "issue:12221", + "accept": false, + "reason": "Both mention diffusers integrations, but one is a FlashVideo/diffusers topic and the other is a request to support DiffSynth Controlnet; different concrete work." + }, + { + "left": "issue:10860", + "right": "issue:9810", + "accept": false, + "reason": "One is a ComfyUI compatibility failure for trained LoRA weights, the other is a module_to_save() support request; related area, not the same bug." + }, { "left": "issue:2402", "right": "issue:660", "accept": false, - "reason": "Different backends/platforms: CUDA-not-compiled vs MPS fp16 on M1. Not the same bug." + "reason": "These are different backend/platform problems: CUDA-not-enabled vs MPS fp16 behavior on M1." }, { "left": "issue:4080", "right": "issue:6452", "accept": false, - "reason": "Both touch inpainting/controlnet, but one is a new SDXL inpaint pipeline and the other is a masked_image_latents API request. Not duplicates." + "reason": "Both concern inpainting, but one asks for a new SDXL inpainting pipeline while the other asks for a masked_image_latents input on ControlNet inpaint; not the same change." }, { "left": "issue:7640", "right": "issue:8879", "accept": false, - "reason": "Different failures: from_single_file shape/dimension mismatch vs torch.compile+cudagraph on SDXL." + "reason": "Both involve StableDiffusionXL, but the failures are different: from_single_file dimension handling vs torch.compile/cudagraph issues." }, { "left": "issue:11592", "right": "issue:8900", "accept": false, - "reason": "LoRA adapter deletion regression and SDXL refiner loading guidance are unrelated." + "reason": "Unrelated topics: a FluxLoraLoaderMixin regression versus a question about loading an SDXL refiner checkpoint." }, { "left": "issue:5395", "right": "issue:5489", "accept": false, - "reason": "Same broad PEFT area, but one is a specific LoRA-combination bug and the other is an integration announcement. Not the same concrete issue." + "reason": "One is a specific bug combining Civitai LoRAs with PEFT; the other is a broad PEFT x diffusers integration umbrella issue." }, { "left": "issue:12108", "right": "issue:12157", "accept": false, - "reason": "Both Qwen-Image related, but one is scheduler/flow-matching breakage and the other is a bnb_quantization_config_path training error." + "reason": "Different problem types: inference breakage with flow-matching schedulers vs a training-time quantization-config error." }, { "left": "issue:1574", "right": "issue:1790", "accept": false, - "reason": "Dreambooth training bug vs a general training question. No duplicate relation." + "reason": "A Dreambooth GPU failure is not the same as a general question about how training works." }, { "left": "issue:4506", "right": "issue:5463", "accept": false, - "reason": "Different variables and code paths: prompt_embeds overwrite vs image_latents UnboundLocalError." + "reason": "Both are variable-scope bugs, but they affect different variables, code paths, and symptoms; not the same defect." }, { "left": "issue:6091", "right": "issue:6398", "accept": false, - "reason": "Consistency decoder size-argument memory issue and a vague memory leak report are not the same bug." + "reason": "One is a specific Consistency Decoder memory issue tied to size arguments; the other is an unspecific memory-leak report." }, { "left": "issue:6335", "right": "issue:7881", "accept": false, - "reason": "ControlNet img2img size control and lpw_stable_diffusion from_single_file failure are unrelated." + "reason": "Different pipeline problems: output-size handling in ControlNet Img2Img vs from_single_file loading for lpw_stable_diffusion." }, { "left": "issue:10239", "right": "issue:7009", "accept": false, - "reason": "Different pipelines and symptoms: cpu offload support vs poor generated results." + "reason": "Both are video-related, but one is about sequential CPU offload support and the other about poor results from a specific TextToVideoSD model load." }, { "left": "issue:11864", "right": "issue:12338", "accept": false, - "reason": "Same class name, but different failures: torch.compile name error vs VAE slicing/multi-image decoding bug." + "reason": "Same AutoencoderDC area, but different bugs: torch.compile fullgraph name resolution vs VAE slicing when decoding multiple images." }, { "left": "issue:3651", "right": "issue:3683", "accept": false, - "reason": "Multi-GPU Dreambooth training and Multi-ControlNet save_pretrained are unrelated." + "reason": "Multi-GPU Dreambooth training and Multi-ControlNet save_pretrained() are unrelated changes." }, { "left": "issue:7228", "right": "issue:7781", "accept": false, - "reason": "Traced-model dtype attribute error vs PIL image serialization error. Different subsystems." + "reason": "A traced-model dtype attribute error and a PIL serialization error are distinct failure modes." }, { "left": "issue:10057", "right": "issue:11247", "accept": false, - "reason": "Both mention FluxTransformer2DModel, but one is a from_single_file token/loading issue and the other is multi-GPU/controlnet distribution." + "reason": "Both mention FluxTransformer2DModel, but one is a from_single_file token issue and the other is multi-GPU/controlnet distribution; different code paths." }, { "left": "issue:5225", "right": "issue:9370", "accept": false, - "reason": "VRAM usage problem vs missing pooled_projection argument. Not the same defect." + "reason": "A VRAM/memory limitation is not the same as a missing pooled_projection argument in a forward method." }, { "left": "issue:1111", "right": "issue:953", "accept": false, - "reason": "Checkpoint content/compliance discussion vs image size guidance. Completely unrelated." + "reason": "These are unrelated: a checkpoint dataset constraint versus guidance on generating smaller images." }, { "left": "issue:5284", "right": "issue:6530", "accept": false, - "reason": "ControlNet-LLLite feature request vs SDXL k-diffusion controlnet bug. Different topics." + "reason": "ControlNet-LLLite support is a feature request; SDXL K-diffusion with ControlNet is a separate pipeline compatibility issue." }, { "left": "issue:2264", "right": "issue:3481", "accept": false, - "reason": "Seed-setting error in one pipeline vs expected image variation across inference steps in another." + "reason": "Both involve seeding/determinism, but one is an exception when setting the seed and the other is expected image variation across inference steps." }, { "left": "issue:3655", "right": "issue:7191", "accept": false, - "reason": "Multi-GPU Dreambooth failure and a generic import problem are unrelated." + "reason": "Both are import-related, but the titles do not indicate the same module, backend, or failure mechanism." }, { "left": "issue:4080", "right": "issue:4366", "accept": false, - "reason": "New SDXL inpainting pipeline request vs fine-tuning full U-Net script; not duplicates." + "reason": "An SDXL inpainting pipeline request is not the same as fine-tuning the SDXL text-to-image script for a full U-Net." }, { "left": "issue:10165", "right": "issue:8464", "accept": false, - "reason": "Both mention seeds, but one is LoRA scale changing seed preservation and the other is cpu offload with seed." - }, - { - "left": "issue:10226", - "right": "issue:7138", - "accept": false, - "reason": "Both involve Flux/SDXL shape mismatch themes, but the models and failure modes differ; not the same concrete bug." - }, - { - "left": "issue:4530", - "right": "issue:6295", - "accept": false, - "reason": "Different artifact reports in different samplers/settings; too broad to be duplicates." + "reason": "Both mention LoRA/seed behavior, but one is about preserving seeds when changing LoRA scale and the other is a SEGA CPU-offload seed failure." } ] }, @@ -71013,10 +70906,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10226", "issue:10381", - "issue:10447", "issue:10453", "issue:10743", "issue:10925", @@ -71037,7 +70930,7 @@ "issue:4353", "issue:4406", "issue:4410", - "issue:4975", + "issue:4530", "issue:4991", "issue:5004", "issue:5070", @@ -71048,9 +70941,11 @@ "issue:5783", "issue:6016", "issue:6037", + "issue:6295", "issue:6496", "issue:6518", "issue:6713", + "issue:7138", "issue:7147", "issue:7450", "issue:7600", @@ -71059,11 +70954,11 @@ "issue:7856", "issue:8612", "issue:8918", - "issue:8939", - "issue:9090", "issue:9450" ], "soft_pairs": [ + "issue:10226|issue:7138", + "issue:4530|issue:6295", "issue:10453|issue:12540", "issue:13015|issue:13298", "issue:12321|issue:12437", @@ -71079,188 +70974,186 @@ "issue:7147|issue:7856", "issue:10381|issue:9450", "issue:4410|issue:6016", - "issue:10447|issue:8939", "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:3658|issue:7600" ], - "prepared_review_unit_hash": "958a8be411d8a2f138cd5b98f7a8a1b46b6467326add8c5fccad443bfab81caa", + "prepared_review_unit_hash": "e89debd9fa4095ea1d61f4d94d94969c5730d2f0323742b90b90a75d5e451d4f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33648, - "estimated_input_tokens": 8412, - "estimated_eval_tokens": 17080 + "serialized_chars": 33277, + "estimated_input_tokens": 8320, + "estimated_eval_tokens": 16896 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate cluster here: the soft pairs are mostly superficial topical matches across unrelated pipelines/models, and none look like the same concrete bug or fix. All soft edges should be rejected.", - "confidence": 0.98, - "canonical_issue_reason": null, - "canonical_pr_reason": null, - "best_issue_reason": null, - "best_pr_reason": null, + "summary": "The cluster is largely heterogeneous: most items are unrelated bugs, feature requests, or support questions that only share generic words like \u201ctensor,\u201d \u201csupport,\u201d or \u201cerror.\u201d None of the soft pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.96, + "canonical_issue_reason": "No safe canonical issue stands out. The issues span multiple unrelated subsystems and model families (Flux/LoRA, Hunyuan, OmniSVG, schedulers, DreamBooth, conversion scripts, etc.), so selecting one as the canonical duplicate target would be arbitrary.", + "canonical_pr_reason": "No pull requests are present in this cluster.", + "best_issue_reason": "No single issue is a good global representative; the set is too mixed to treat one issue as the cluster's true center without over-merging unrelated reports.", + "best_pr_reason": "No pull requests are present in this cluster.", "soft_edge_verdicts": [ + { + "left": "issue:10226", + "right": "issue:7138", + "accept": false, + "reason": "Both mention shape mismatch, but one is DreamBooth Flux+LoRA and the other is SDXL UNet structure mismatch; different models and likely different root causes." + }, + { + "left": "issue:4530", + "right": "issue:6295", + "accept": false, + "reason": "Both concern image quality/artifacts, but one is refiner color artifacts and the other is a specific DPM++ SDE/Karras artifact issue; not the same bug." + }, { "left": "issue:10453", "right": "issue:12540", "accept": false, - "reason": "Both concern batching in video/image pipelines, but one is a Hunyuan Video batch-size limitation and the other is a SanaPipeline embedding-compatibility bug; different code paths and symptoms." + "reason": "Hunyuan Video batch-size limitation is unrelated to Sana timestep embedding incompatibility." }, { "left": "issue:13015", "right": "issue:13298", "accept": false, - "reason": "Both report device-mismatch errors, but they involve different models and devices (QwenImageEditPlus on NPU vs generic image generation on CUDA), so not the same bug." + "reason": "Both are device mismatch errors, but one is a QwenImageEditPlus NPU issue and the other is a CUDA generator-path bug; too different to treat as duplicates." }, { "left": "issue:12321", "right": "issue:12437", "accept": false, - "reason": "These are separate model support requests (HunyuanImage-2.1 vs OmniSVG) with no shared failure mode or implementation target." + "reason": "These are separate model-support requests for HunyuanImage-2.1 and OmniSVG." }, { "left": "issue:1647", "right": "issue:3455", "accept": false, - "reason": "Unrelated questions about color correction vs pretrained InstructPix2Pix training; no common underlying defect." + "reason": "A solved question about color correction .pt is unrelated to using pretrained instruct-pix2pix during training." }, { "left": "issue:2203", "right": "issue:761", "accept": false, - "reason": "Different DreamBooth topics: download location behavior vs 8-bit Adam training failure." + "reason": "Home-directory download behavior is unrelated to an 8-bit Adam training failure." }, { "left": "issue:2437", "right": "issue:6037", "accept": false, - "reason": "T2I-Adapter pipeline support and InstaFlow pipeline introduction are unrelated additions." + "reason": "A T2I-Adapter pipeline request is unrelated to the InstaFlow new-pipeline feature." }, { "left": "issue:4139", "right": "issue:8612", "accept": false, - "reason": "Both mention precision/mixed precision, but one is a custom attention processor casting bug and the other is PixArt-Sigma inference incompatibility; different fixes." + "reason": "Both touch precision, but custom diffusion attention processor casting and PixArt-sigma mixed-precision inference are different code paths." }, { "left": "issue:4149", "right": "issue:5509", "accept": false, - "reason": "Both involve batching, but one is SemanticStableDiffusion tensor dimension mismatch and the other is image/prompt batch-size validation for numpy/cv2 inputs; not the same bug." + "reason": "Tensor-dimension mismatch in SemanticStableDiffusion batching is not the same as image batch size matching prompt batch size." }, { "left": "issue:4991", "right": "issue:5405", "accept": false, - "reason": "One is missing accelerator.prepare on a dataloader; the other is sdxl.from_single_file not overwriting weights. Different code paths." + "reason": "Missing accelerator.prepare on the dataloader is unrelated to sdxl.from_single_file not overwriting weights." }, { "left": "issue:5004", "right": "issue:7600", "accept": false, - "reason": "Both are DreamBooth training bugs, but one is checkpoint resume at fp16 and the other is missing accelerator.accumulate on text_encoder; distinct issues." + "reason": "Checkpoint resume failure in SDXL dreambooth is unrelated to not applying accelerator.accumulate on text_encoder." }, { "left": "issue:5271", "right": "issue:6496", "accept": false, - "reason": "Different DreamBooth feature requests: separate learning rates vs multiple people/faces training example." + "reason": "Different learning rates for text encoders vs UNet and multiple people/faces DreamBooth examples are unrelated." }, { "left": "issue:5783", "right": "issue:8918", "accept": false, - "reason": "EMA not working in SDXL training and SD3 DreamBooth still broken are separate training problems with different models and failure modes." + "reason": "EMA not working in SDXL training is unrelated to train_dreambooth_sd3.py being broken." }, { "left": "issue:7147", "right": "issue:7856", "accept": false, - "reason": "Import error for StableCascadeDecoderPipeline vs tokenizer token-name collision in multi-vector token training; unrelated." + "reason": "Importing StableCascadeDecoderPipeline and multi-vector token vocabulary collision are unrelated." }, { "left": "issue:10381", "right": "issue:9450", "accept": false, - "reason": "Both mention Flux and device issues, but one is quantization+LoRA inference on Flux and the other is a multi-GPU transformer placement bug; not the same code-path problem." + "reason": "Both involve Flux/device issues, but one is inference with quantization+LoRA and the other is a multi-GPU transformer placement bug; not confidently the same bug." }, { "left": "issue:4410", "right": "issue:6016", "accept": false, - "reason": "Both mention convert_original_stable_diffusion_to_diffusers, but one is a load-time shape mismatch while the other is a torch.Size() issue in conversion; too different to merge." - }, - { - "left": "issue:10447", - "right": "issue:8939", - "accept": false, - "reason": "Both are conversion/loading problems, but one is the UNet being split into two files and the other is tokenizer loading for SD3; unrelated failures." + "reason": "Shape mismatch when loading a model and a torch.Size() issue in conversion are different failures in different workflows." }, { "left": "issue:4353", "right": "issue:7798", "accept": false, - "reason": "Both are quality/bug reports for different pipelines (SDXL vs PixArtAlpha) without the same concrete defect." + "reason": "Generic image quality complaint for SDXL refiner is not the same as a PixArtAlphaPipeline bug." }, { "left": "issue:4406", "right": "issue:6713", "accept": false, - "reason": "Both mention safetensor/HeaderTooLarge style loading, but one is a generic safetensor deserialize error and the other is a specific conversion-script complaint; not clearly the same bug." + "reason": "Both mention HeaderTooLarge, but one is loading a safetensor directly and the other is the SD conversion script; may share symptom, not clearly the same underlying issue." }, { "left": "issue:5685", "right": "issue:7450", "accept": false, - "reason": "Scheduler issues broadly overlap, but one is general scheduler behavior and the other is AutoencoderKL multi-threading; different components and fixes." + "reason": "Potential scheduler issues are not the same as AutoencoderKL multithreading problems." }, { "left": "issue:10743", "right": "issue:10925", "accept": false, - "reason": "FLUX zero-3 training support and FLUX Dreambooth CLIPTextModel finetuning are separate training feature/bug reports." + "reason": "Zero-3 support for FLUX training and Dreambooth finetuning FLUX dev CLIPTextModel are related to FLUX training generally, but they are distinct feature/issues rather than one duplicate." }, { "left": "issue:2669", "right": "issue:6518", "accept": false, - "reason": "These are different runtime TypeErrors in different examples/scripts; no shared code-path evidence." + "reason": "A NoneType .replace AttributeError and a NoneType // int error are different exceptions with different failure points." }, { "left": "issue:1101", "right": "issue:5070", "accept": false, - "reason": "DPM-Solver scheduler addition and ControlNet example flags are unrelated." + "reason": "Adding a DPM-Solver scheduler is unrelated to ControlNet example flags only_mid_control=true and sd_locked=false." }, { "left": "issue:3658", "right": "issue:7600", "accept": false, - "reason": "Both touch training scripts, but one fixes extra noise latents in DreamBooth upsampler training while the other fixes text_encoder accumulation; distinct bugs." - }, - { - "left": "issue:4975", - "right": "issue:9090", - "accept": false, - "reason": "Both are scheduler-related, but one is LoRA datatype-query inefficiency and the other is repeated inference timesteps in PNDM; different problem statements and fixes." + "reason": "Additional noise latents in DreamBooth upsampler training and missing accelerator.accumulate on text_encoder are different training bugs." } ] }, @@ -71282,7 +71175,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1033", "issue:11000", @@ -71302,15 +71195,14 @@ "issue:4664", "issue:4788", "issue:4885", + "issue:4975", "issue:5062", "issue:5079", - "issue:5480", "issue:5485", "issue:5798", "issue:5969", "issue:6176", "issue:6454", - "issue:6616", "issue:6790", "issue:696", "issue:7454", @@ -71323,6 +71215,7 @@ "issue:9044", "issue:9063", "issue:9084", + "issue:9090", "issue:9170", "issue:9181", "issue:9204", @@ -71334,6 +71227,7 @@ "issue:9665" ], "soft_pairs": [ + "issue:4975|issue:9090", "issue:5079|issue:7454", "issue:6176|issue:9505", "issue:6454|issue:7801", @@ -71356,181 +71250,180 @@ "issue:5798|issue:9181", "issue:3951|issue:5969", "issue:4171|issue:4453", - "issue:4788|issue:9170", - "issue:5480|issue:6616" + "issue:4788|issue:9170" ], - "prepared_review_unit_hash": "1f8225e370546104d67dd2d6d8fc4ec3161e68f396d777c67e16863466b86373", + "prepared_review_unit_hash": "e011d7d3921bdee5f7d8aa0cc14279181429f61b1fc3d1d9198ec1825c8c0a5c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33702, - "estimated_input_tokens": 8426, - "estimated_eval_tokens": 17108 + "serialized_chars": 33761, + "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 is very heterogeneous: most soft pairs are only weakly text-similar and describe different pipelines, bugs, or feature requests. I would not merge any of the suggested pairs as duplicates. The closest thing to a canonical issue is the scheduler/indexing bug around num_inference_steps.", - "confidence": 0.29, - "canonical_issue_reason": "issue:444 is the clearest concrete bug report in the set and is the most general scheduler/index error description; it best matches the only nearby duplicate-like report (issue:1033).", + "summary": "These issues are not a single duplicate cluster; they span unrelated bugs and feature requests across schedulers, LoRA loading, training, pipelines, and docs. The soft pairs only share broad Diffusers vocabulary, not the same concrete failure or code path.", + "confidence": 0.95, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:444 is the best representative for a duplicate cluster because it describes a repeatable, specific runtime error with broader applicability than the other isolated reports.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4975", + "right": "issue:9090", + "accept": false, + "reason": "Different problems: LoRA loading inefficiency vs repeated inference timesteps in PNDM. No shared code-path bug." + }, { "left": "issue:5079", "right": "issue:7454", "accept": false, - "reason": "Different requests: loading LyCORIS via load_lora_weights vs generic LoRA support. Not the same bug/change." + "reason": "`load_lora_weights` support for LyCORIS is a feature request; generic LORA support is broader and not the same underlying issue." }, { "left": "issue:6176", "right": "issue:9505", "accept": false, - "reason": "Both involve LoRA/upscaling workflows, but the failure modes are unrelated: loading LoRA after training vs a missing key during upscaling." + "reason": "LoRA loading after dreambooth training and upscale KeyError are unrelated failures in different workflows." }, { "left": "issue:6454", "right": "issue:7801", "accept": false, - "reason": "Training gradient scaling error vs mixed_precision not applying; related area, but not the same concrete problem." + "reason": "FP16 gradient unscale error during training is unrelated to mixed_precision not producing fp16 weights." }, { "left": "issue:6790", "right": "issue:9204", "accept": false, - "reason": "Different model/training failures: LCM state_dict key mismatch vs a FLUX DreamBooth training script issue." + "reason": "LCM training state_dict mismatch and FLUX DreamBooth training are different model/training issues." }, { "left": "issue:7798", "right": "issue:9084", "accept": false, - "reason": "Different pipelines and symptoms: PixArtAlphaPipeline bug vs SD3 inpaint scheduler step-order problem." + "reason": "PixArtAlphaPipeline bug and SD3 inpaint scheduler ordering bug are different pipelines and different failure modes." }, { "left": "issue:11642", "right": "issue:9044", "accept": false, - "reason": "Both mention loading/model behavior, but one is prompt_embeds_scale having no effect and the other is a missing tokenizer/model file error." + "reason": "Prompt embed scaling having no effect and tokenizer/file loading errors are unrelated bugs." }, { "left": "issue:9484", "right": "issue:9665", "accept": false, - "reason": "Both are training/deepspeed-related, but one asks for multigpu FLUX DreamBooth while the other reports accelerator.prepare() behavior under a DeepSpeed config." + "reason": "Multi-GPU DreamBooth setup request and DeepSpeed affecting accelerator.prepare() are not the same concrete bug." }, { "left": "issue:9350", "right": "issue:9362", "accept": false, - "reason": "Both are index-related, but they refer to different tensors, different code paths, and different error conditions." + "reason": "3D txt_ids deprecation warning and index-out-of-bounds error are different issues with no clear shared root cause." }, { "left": "issue:1033", "right": "issue:444", "accept": false, - "reason": "Both are IndexError reports, but they are not clearly the same code path; one is stable_diffusion_mega-specific and the other is a num_inference_steps pattern bug." + "reason": "Both mention index errors, but one is Stable Diffusion Mega and the other is scheduler timestep indexing; not enough evidence of the same bug." }, { "left": "issue:11000", "right": "issue:9027", "accept": false, - "reason": "Missing shift argument in a video pipeline vs argument-name consistency feedback; not the same bug/change." + "reason": "Missing shift argument in WanImageToVideoPipeline and argument-name consistency are unrelated API problems." }, { "left": "issue:1992", "right": "issue:5062", "accept": false, - "reason": "Unrelated topics: JAX attention refactoring discussion vs a typo in attention code." + "reason": "JAX attention refactoring discussion and a typo in attention are not the same underlying change." }, { "left": "issue:2202", "right": "issue:2784", "accept": false, - "reason": "General OpenVINO support question vs DreamBooth support request for text2video models; not duplicates." + "reason": "OpenVINO pipeline support and Dreambooth support for text2video are separate feature requests." }, { "left": "issue:8535", "right": "issue:8557", "accept": false, - "reason": "Both are SD3-related, but one is xformers memory-efficient attention and the other is token limit in training." + "reason": "xformers memory-efficient attention support in SD3 and SD3 token-limit training are unrelated SD3 topics." }, { "left": "issue:4664", "right": "issue:4885", "accept": false, - "reason": "Both concern SDXL LoRA loading, but one is a pipeline naming/loading discrepancy and the other is ControlNet img2img not loading weights; not clearly the same bug." + "reason": "SDXL LoRA loading inconsistency in one pipeline and ControlNet img2img LoRA loading failure are different code paths." }, { "left": "issue:1284", "right": "issue:5485", "accept": false, - "reason": "Batch size slowdown vs ControlNet batch inference taking forever are too broad and not the same underlying issue." + "reason": "Batch-size slowdown and ControlNet batch inference slowness are both performance complaints, but not the same bug." }, { "left": "issue:11432", "right": "issue:9332", "accept": false, - "reason": "Both are from_pretrained/loading-related, but one is torch_dtype='auto' behavior and the other is identical weights loading the wrong specified model." + "reason": "`torch_dtype='auto'` from_pretrained behavior and loading identical weights are different model-loading issues." }, { "left": "issue:7690", "right": "issue:9063", "accept": false, - "reason": "Both are model/tokenizer loading errors for SDXL/Flux, but they are different missing-resource and tokenizer-construction failures." + "reason": "Tokenizer loading failure for SDXL base and Flux tokenizer instantiation error are unrelated loader bugs." }, { "left": "issue:3116", "right": "issue:3381", "accept": false, - "reason": "Different pipeline bugs: KDPM2DiscreteScheduler latent noise in img2img vs discolored inpaint batch inference/docs issue." + "reason": "KDPM2DiscreteScheduler latent noise in img2img and inpaint batch discoloration are distinct scheduler/pipeline bugs." }, { "left": "issue:2276", "right": "issue:696", "accept": false, - "reason": "Dreambooth/xformers installation problem vs CUDA OOM training issue; not the same defect." + "reason": "xformers install trouble in a notebook and DreamBooth CUDA OOM are different problems." }, { "left": "issue:5798", "right": "issue:9181", "accept": false, - "reason": "Both involve ControlNet, but one is an unexpected callback keyword argument and the other is a visual noise-dot artifact." + "reason": "Unexpected callback keyword in ControlNet pipeline and strange noise dot in ControlNet are not the same failure." }, { "left": "issue:3951", "right": "issue:5969", "accept": false, - "reason": "NaN outputs in a demo vs DDIM eta=1 NaNs with ZSNR patch; superficially similar symptom, but different code paths and triggers." + "reason": "UniDiffuser NaNs and DDIM NaNs with ZSNR patch have different triggers and code paths." }, { "left": "issue:4171", "right": "issue:4453", "accept": false, - "reason": "Documentation/reference page rendering issue vs SDXL LoRA conversion question; unrelated." + "reason": "Documentation/rendering issue on the home page and a LoRA conversion question are unrelated." }, { "left": "issue:4788", "right": "issue:9170", "accept": false, - "reason": "Both are memory-related, but one is SDXL inpaint OOM on 6 GB VRAM and the other is a general question about whether SDXL+ControlNet needs >36 GB." - }, - { - "left": "issue:5480", - "right": "issue:6616", - "accept": false, - "reason": "EDM implementation request vs classifier-guidance implementation request; different feature work." + "reason": "Both are VRAM concerns around SDXL/ControlNet, but one is inpaint OOM and the other is a general memory requirement question; not the same bug." } ] }, @@ -71552,7 +71445,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:10287", @@ -71560,7 +71453,6 @@ "issue:10917", "issue:11041", "issue:11093", - "issue:11214", "issue:11387", "issue:11497", "issue:11907", @@ -71583,10 +71475,12 @@ "issue:5226", "issue:5379", "issue:5399", + "issue:5480", "issue:5515", "issue:6054", "issue:6167", "issue:6548", + "issue:6616", "issue:6700", "issue:7220", "issue:759", @@ -71594,7 +71488,6 @@ "issue:7836", "issue:8543", "issue:8887", - "issue:9027", "issue:9279", "issue:9291", "issue:9448", @@ -71604,6 +71497,7 @@ "issue:9895" ], "soft_pairs": [ + "issue:5480|issue:6616", "issue:7836|issue:8543", "issue:5399|issue:7770", "issue:10287|issue:9548", @@ -71626,181 +71520,180 @@ "issue:10016|issue:12423", "issue:4676|issue:6548", "issue:10518|issue:12905", - "issue:10917|issue:8887", - "issue:11214|issue:9027" + "issue:10917|issue:8887" ], - "prepared_review_unit_hash": "f48f969aac5aae7457c77238d9dad407d749944da09bc32a275d3e2a123e1283", + "prepared_review_unit_hash": "9dce3e58a5b698e72d318d7c587e2e34eb2feefbe1a28378d39dbf438cff5249", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34295, - "estimated_input_tokens": 8574, - "estimated_eval_tokens": 17404 + "serialized_chars": 34236, + "estimated_input_tokens": 8559, + "estimated_eval_tokens": 17374 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is a loose collection of unrelated issue reports across different models, pipelines, schedulers, and training scripts. None of the soft-edge pairs look like true duplicates or the same underlying fix.", - "confidence": 0.92, - "canonical_issue_reason": "Issue #10016 is the most concrete and self-contained bug report: a specific `from_single_file` shape mismatch on SD3.5M with a clear error target (`pos_embed.pos_embed`).", + "summary": "The items are not one duplicate cluster; they span many unrelated issues across different pipelines, schedulers, training scripts, and docs. The soft links are mostly broad semantic similarity rather than the same underlying bug.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue: the proposed pairs do not share one concrete bug or change, so there is no clear duplicate hub for the cluster.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #10016 is the best standalone representative because it describes a precise, reproducible loading failure rather than a broad or ambiguous problem.", + "best_issue_reason": "Issue 10016 is the clearest concrete reproducer among the set, but only as a standalone report; it is not a valid global representative for these unrelated items.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5480", + "right": "issue:6616", + "accept": false, + "reason": "Both are feature requests, but EDM implementation and classifier-guidance are different changes and not the same underlying task." + }, { "left": "issue:7836", "right": "issue:8543", "accept": false, - "reason": "Both are training-example complaints, but one is about CLIP overfitting and the other about SD3 gradient checkpointing failure; different bugs and fixes." + "reason": "Both mention training examples, but one is CLIP overfitting and the other is SD3 dreambooth checkpointing; different bugs." }, { "left": "issue:5399", "right": "issue:7770", "accept": false, - "reason": "One is a dtype mismatch in custom inpainting inference; the other is a model/LoRA tensor shape mismatch during loading. Same broad area, not the same bug." + "reason": "Both are model loading/runtime errors, but the dtype mismatch in inpainting and the LoRA tensor shape mismatch are distinct failure modes." }, { "left": "issue:10287", "right": "issue:9548", "accept": false, - "reason": "A documentation example issue is unrelated to a Flux DreamBooth LoRA training regression." + "reason": "A docs example issue and a Flux dreambooth LoRA training problem are unrelated." }, { "left": "issue:12895", "right": "issue:9448", "accept": false, - "reason": "Both mention pipeline runtime errors, but the concrete failures differ: `NoneType.ndim` with batched prompts versus IP-Adapter tuple shape handling." + "reason": "Both affect Stable Diffusion 3 related paths, but one is a num_images_per_prompt NoneType crash and the other is an IP-Adapter tuple shape error." }, { "left": "issue:1566", "right": "issue:2091", "accept": false, - "reason": "Checkpoint-saving fp16 crash and checkpoint-resume multi-GPU issues are different training-path problems." + "reason": "Checkpoint/save crash in Dreambooth is different from resuming multi-GPU training from a checkpoint." }, { "left": "issue:11093", "right": "issue:9680", "accept": false, - "reason": "TorchAO example breakage is not the same as SDXL unconditional generation being broken; different code paths and symptoms." + "reason": "TorchAO example breakage and SDXL unconditional generation are unrelated." }, { "left": "issue:170", "right": "issue:2083", "accept": false, - "reason": "Both involve `eta`, but one is an unsupported scheduler argument error and the other is a multi-generator/DDIM edge case." + "reason": "Both involve eta, but one is a scheduler API keyword error and the other is multi-generator behavior with DDIMScheduler eta > 0." }, { "left": "issue:4497", "right": "issue:759", "accept": false, - "reason": "Dynamic thresholding and textual inversion save behavior are unrelated features." + "reason": "Dynamic thresholding and textual inversion saving are unrelated topics." }, { "left": "issue:9279", "right": "issue:9291", "accept": false, - "reason": "Dynamic LoRA loading with `torch.compile` is unrelated to FLUX LoRA key compatibility." + "reason": "Dynamic LoRA loading with torch.compile is a different problem from FLUX LoRA key compatibility." }, { "left": "issue:11497", "right": "issue:9731", "accept": false, - "reason": "Dataset cache invalidation in SD3 ControlNet training is not the same as a Playground2.5 LoRA usage question." + "reason": "A preprocessing cache bug and a user training how-to question are not the same issue." }, { "left": "issue:5226", "right": "issue:6167", "accept": false, - "reason": "Both touch StableDiffusionXLAdapterPipeline, but one is about `load_lora_weights` and the other about `load_ip_adapter`; different integration points." + "reason": "One is load_lora_weights on SDXL Adapter, the other is adding load_ip_adapter; same area, different change requests." }, { "left": "issue:11387", "right": "issue:12338", "accept": false, - "reason": "AutoencoderDC RMSNorm type selection is unrelated to the VAE slicing multi-image decoding bug." + "reason": "Both concern AutoencoderDC, but one is a normalization-class mismatch and the other is a slicing/decoding bug." }, { "left": "issue:2495", "right": "issue:3116", "accept": false, - "reason": "A black-image MPS issue is not the same as latent noise appearing in KDPM2DiscreteScheduler img2img behavior." + "reason": "MPS black-image output and KDPM2DiscreteScheduler latent noise are different pipeline/scheduler bugs." }, { "left": "issue:5379", "right": "issue:5515", "accept": false, - "reason": "A community SpeechToImage pipeline and an LCM pipeline scheduler initialization bug are unrelated." + "reason": "A community speech-to-image pipeline and an LCM scheduler initialization failure are unrelated." }, { "left": "issue:3420", "right": "issue:7220", "accept": false, - "reason": "ControlNetInpaint failing in a diffusion pipeline context is different from `.unload_ip_adapter()` returning an error." + "reason": "Both touch StableDiffusionControlNetInpaintPipeline, but one is a pipeline compatibility failure and the other is an unload_ip_adapter error." }, { "left": "issue:1842", "right": "issue:6054", "accept": false, - "reason": "Unexpected `eta` keyword errors and `torch.from_numpy` misuse in `set_timesteps()` are distinct scheduler bugs." + "reason": "Unexpected eta kwarg and a torch.from_numpy misuse in set_timesteps are different scheduler issues." }, { "left": "issue:4880", "right": "issue:6700", "accept": false, - "reason": "Single-ControlNet image input validation and attention processor `temb` argument passing are different TypeError causes." + "reason": "ControlNet image-input validation and temb passed to attention processors are unrelated." }, { "left": "issue:11907", "right": "issue:12096", "accept": false, - "reason": "Flux scheduler incompatibility and WanVACE group-offloading failure are separate model/runtime issues." + "reason": "Flux scheduler incompatibility and WanVACE group offloading are different code paths." }, { "left": "issue:11041", "right": "issue:9895", "accept": false, - "reason": "WAN2.1 group-offloading errors and a FluxPipeline device-placement regression are not the same bug." + "reason": "apply_group_offloading failure in WAN2.1 and Flux device-placement mismatch are not the same bug." }, { "left": "issue:10016", "right": "issue:12423", "accept": false, - "reason": "Both are `from_single_file` loading reports, but they involve different models and different failure modes." + "reason": "Both involve from_single_file loading, but SD3.5M shape mismatch and QwenImageTransformer2DModel loading are different model-specific problems." }, { "left": "issue:4676", "right": "issue:6548", "accept": false, - "reason": "TAESD latent darkness and RGBA image handling in `prepare_latents` are different latent-processing bugs." + "reason": "TAESD latent brightness and RGBA img2img latent handling are distinct issues." }, { "left": "issue:10518", "right": "issue:12905", "accept": false, - "reason": "An SD3 LoRA training script mistake is unrelated to Z_Image guidance-scale implementation." + "reason": "An SD3 LoRA training script bug and Z_Image guidance scale implementation are unrelated." }, { "left": "issue:10917", "right": "issue:8887", "accept": false, - "reason": "A question about the lumina-2.0 script is not the same as an SD3 training-script VAE encode bug." - }, - { - "left": "issue:11214", - "right": "issue:9027", - "accept": false, - "reason": "An unexpected `encoder_hidden_states` keyword error is not the same as a general naming-consistency discussion." + "reason": "Lumina-2.0 script correctness and SD3 wrong VAE encode in training are different scripts and bugs." } ] }, @@ -71822,22 +71715,21 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10223", "issue:10281", "issue:11127", + "issue:11214", "issue:11387", "issue:11859", "issue:1444", "issue:1543", - "issue:1672", "issue:1695", "issue:1979", "issue:2083", "issue:2163", "issue:2265", - "issue:2722", "issue:3177", "issue:3249", "issue:3583", @@ -71867,6 +71759,7 @@ "issue:6906", "issue:6921", "issue:7456", + "issue:9027", "issue:9134", "issue:9248", "issue:9485", @@ -71874,6 +71767,7 @@ "issue:9996" ], "soft_pairs": [ + "issue:11214|issue:9027", "issue:1444|issue:5084", "issue:1979|issue:4000", "issue:2083|issue:579", @@ -71896,181 +71790,180 @@ "issue:4331|issue:5014", "issue:10281|issue:11859", "issue:1695|issue:3177", - "issue:5026|issue:5875", - "issue:1672|issue:2722" + "issue:5026|issue:5875" ], - "prepared_review_unit_hash": "575a4717151876062beb5ae68a1e7ca8753ddc300cc92ef4d74efa439022ab1f", + "prepared_review_unit_hash": "2686fb1dd829827b7be4cd5094aae7a834ac91e1c0ea9c100c649be27771bb1c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33665, - "estimated_input_tokens": 8417, - "estimated_eval_tokens": 17090 + "serialized_chars": 33632, + "estimated_input_tokens": 8408, + "estimated_eval_tokens": 17072 }, "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 imports, conversion scripts, schedulers, training examples, and Flux/SDXL feature requests. All soft edges should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue fits: the items are heterogeneous and do not describe the same underlying bug or change.", - "canonical_pr_reason": "No pull requests are present in this cluster.", - "best_issue_reason": "No issue is a good global representative because the cluster is not centered on one concrete problem.", - "best_pr_reason": "No pull requests are present, so there is no best PR candidate.", + "summary": "These items are largely unrelated diffusers issues and feature requests; none of the soft pairs look like true duplicates. If forced to pick a canonical issue, I\u2019d anchor on the most concrete runtime bug report rather than broad feature asks.", + "confidence": 0.44, + "canonical_issue_reason": "issue:11214 is the most concrete, reproducible bug report in the set, with a clear traceback and a specific failing code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11214 is the strongest standalone issue to keep as a representative canonical bug: explicit exception, specific subsystem, and likely single-code-path fix.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11214", + "right": "issue:9027", + "accept": false, + "reason": "Different scope: a specific UVit runtime TypeError versus a broad consistency-in-argument-names request." + }, { "left": "issue:1444", "right": "issue:5084", "accept": false, - "reason": "Both are import errors, but they concern different classes and failures: SafetyChecker missing vs Flax SDXL pipeline import failure." + "reason": "Both are import errors, but they involve different symbols and different pipelines/models, so they are not the same bug." }, { "left": "issue:1979", "right": "issue:4000", "accept": false, - "reason": "Both mention SD-to-diffusers conversion, but one is a broad conversion failure while the other targets SD 2.0 ckpt conversion specifically." + "reason": "Both concern conversion to diffusers, but one is a generic conversion failure and the other is a specific SD 2.0 ckpt conversion case." }, { "left": "issue:2083", "right": "issue:579", "accept": false, - "reason": "These are unrelated: DDIMScheduler/multiple generators vs a missing config.json in textual inversion." + "reason": "Completely different problems: DDIM generator/eta behavior versus missing config.json in textual inversion." }, { "left": "issue:2163", "right": "issue:5829", "accept": false, - "reason": "Different training-script failures: UNet dtype mismatch vs missing unet_time_cond_proj_dim in LCM scripts." + "reason": "Different failures in different scripts: dtype mismatch during training versus a missing model config argument." }, { "left": "issue:3583", "right": "issue:6706", "accept": false, - "reason": "Mixture of Diffusers support and generic cads support are distinct feature requests." + "reason": "Unrelated feature requests; they do not describe the same underlying change." }, { "left": "issue:3730", "right": "issue:4148", "accept": false, - "reason": "Both touch inpainting, but one is a blending timestep bug and the other is an SDXL config error." + "reason": "Both touch inpainting, but one is a timestep blending bug and the other is a model config/load error." }, { "left": "issue:4303", "right": "issue:6921", "accept": false, - "reason": "Pipeline crash loading SDXL is unrelated to the claim that shipped SDXL weights differ from official weights." + "reason": "One is a Flax SDXL load crash, the other is a weight-distribution mismatch; different root causes." }, { "left": "issue:4554", "right": "issue:6906", "accept": false, - "reason": "OOM in a Kandinsky example is not the same issue as a broken LoRA dreambooth example." + "reason": "Kandinsky OOM and DreamBooth LoRA breakage are unrelated bugs in different examples." }, { "left": "issue:4648", "right": "issue:7456", "accept": false, - "reason": "Missing config.json in ControlNet loading is unrelated to a missing raise statement." + "reason": "A missing config.json error is unrelated to a missing raise statement in code." }, { "left": "issue:5595", "right": "issue:6731", "accept": false, - "reason": "Image size divisibility validation and unhandled pipeline class errors are different code paths." + "reason": "Different errors and code paths: image size validation versus an unhandled pipeline class." }, { "left": "issue:5603", "right": "issue:6142", "accept": false, - "reason": "ImportError for is_safetensors_available is unrelated to a NameError for start_training." + "reason": "ImportError for a utility symbol versus a NameError in training startup code; not the same defect." }, { "left": "issue:6535", "right": "issue:9485", "accept": false, - "reason": "These are different scheduler requests: changing the SVD noise scheduler vs moving scheduler work to GPU/CUDA." + "reason": "Both mention schedulers, but one is about changing the scheduler in SVD and the other is about moving scheduler work onto GPU." }, { "left": "issue:6727", "right": "issue:9248", "accept": false, - "reason": "A dtype mismatch in attention is unrelated to a pip installation command issue." + "reason": "A tensor dtype mismatch bug is unrelated to a pip install/upgrade request." }, { "left": "issue:9134", "right": "issue:9677", "accept": false, - "reason": "Both are Flux-related, but one is a LoRA training issue and the other is a precision-setting request for text encoders." + "reason": "Both are Flux-related, but one is a LoRA training issue and the other is a precision setting request for text encoders." }, { "left": "issue:3249", "right": "issue:5028", "accept": false, - "reason": "Both involve argument/signature mismatches, but they affect different blocks and different unexpected kwargs." + "reason": "Both are unexpected-keyword-arg errors, but they affect different blocks, different arguments, and different pipelines." }, { "left": "issue:10223", "right": "issue:11387", "accept": false, - "reason": "A lora-sdxl-dreambooth-id inference question is unrelated to an AutoencoderDC normalization bug." + "reason": "A LoRA inference question is unrelated to the AutoencoderDC RMSNorm implementation bug." }, { "left": "issue:1543", "right": "issue:2265", "accept": false, - "reason": "Textual inversion revision handling and ONNXRuntime incompatibility are unrelated failures." + "reason": "These are unrelated: fp16 revision handling in textual inversion versus ONNXRuntime incompatibility in an example script." }, { "left": "issue:4122", "right": "issue:5687", "accept": false, - "reason": "Both concern scheduler timesteps, but they are different bugs with different schedulers and conditions." + "reason": "Both involve timesteps, but they are distinct scheduler bugs with different triggering conditions and fixes." }, { "left": "issue:11127", "right": "issue:9996", "accept": false, - "reason": "Flux single-file loading and nf4 transformer loading are distinct model-loading problems." + "reason": "Both are Flux issues, but one is a single-file model load failure and the other is an nf4 transformer-loading problem." }, { "left": "issue:4331", "right": "issue:5014", "accept": false, - "reason": "Dreambooth vs Dreambooth LoRA training behavior are related only broadly, not the same concrete bug." + "reason": "Different DreamBooth-related complaints, but not the same failure mode or fix." }, { "left": "issue:10281", "right": "issue:11859", "accept": false, - "reason": "FreeScale and STORK are separate scheduler feature requests, not the same change." + "reason": "Both are scheduler requests, but they propose different schedulers and do not describe the same change." }, { "left": "issue:1695", "right": "issue:3177", "accept": false, - "reason": "General multi-GPU Dreambooth support and DeepSpeed stage-3 offloading failure are different issues." + "reason": "Multi-GPU DreamBooth support and DeepSpeed stage-3 offload breakage are related only broadly, not the same concrete bug." }, { "left": "issue:5026", "right": "issue:5875", "accept": false, - "reason": "A missing text_encoder key and an ONNXT prompt conversion error are unrelated." - }, - { - "left": "issue:1672", - "right": "issue:2722", - "accept": false, - "reason": "Both are conversion problems, but they affect different model families and different conversion bugs." + "reason": "Different problems: a text_encoder KeyError versus an ONNX model conversion prompt error." } ] }, @@ -72092,7 +71985,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10097", "issue:10302", @@ -72104,10 +71997,12 @@ "issue:1231", "issue:12412", "issue:13301", + "issue:1672", "issue:1896", "issue:1918", "issue:2351", "issue:2444", + "issue:2722", "issue:2900", "issue:3009", "issue:3029", @@ -72139,11 +72034,10 @@ "issue:835", "issue:8556", "issue:8732", - "issue:9527", - "issue:9857", - "issue:9858" + "issue:9527" ], "soft_pairs": [ + "issue:1672|issue:2722", "issue:10302|issue:12052", "issue:10097|issue:6439", "issue:1205|issue:542", @@ -72166,181 +72060,180 @@ "issue:3140|issue:6142", "issue:4366|issue:5968", "issue:11050|issue:9527", - "issue:2444|issue:4839", - "issue:9857|issue:9858" + "issue:2444|issue:4839" ], - "prepared_review_unit_hash": "52f533ac6d922717af417abdb7c00f06c5e4d896dd2df34ecadc5f1e2650b7ba", + "prepared_review_unit_hash": "4652251a26a2018d18fe593e067cc0c241c8927cc17b538ed300a94690f04a29", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33391, - "estimated_input_tokens": 8348, - "estimated_eval_tokens": 16952 + "serialized_chars": 33483, + "estimated_input_tokens": 8371, + "estimated_eval_tokens": 16998 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly unrelated issues grouped by broad topic only; I would reject all soft edges. No PRs are present in this cluster.", - "confidence": 0.93, - "canonical_issue_reason": "No single issue cleanly represents this set because the items span docs, export, training, scheduler, and dtype/device bugs. If forced to pick an anchor, issue:11050 is the most concrete and technically specific.", + "summary": "This cluster is not a duplicate set; the items span unrelated docs, model-support, conversion, scheduler, training, and dtype issues. All soft pairs are too broad or only superficially similar, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue:11050 is the strongest standalone candidate because it states a precise file, failure mode, and likely root cause, but it is still not a true duplicate hub for the rest of the cluster.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1672", + "right": "issue:2722", + "accept": false, + "reason": "Both involve conversion, but one is an output-size bug in ckpt-to-diffusers while the other is a ControlNet UNet mismatch after conversion; different failures and fixes." + }, { "left": "issue:10302", "right": "issue:12052", "accept": false, - "reason": "Both mention FP8/offloading, but one is a noise warning and the other is a cross-device multiply failure in a different model path." + "reason": "Both mention FP8/offloading, but one is inference noise and the other is a tensor device-mismatch crash; not the same code-path problem." }, { "left": "issue:10097", "right": "issue:6439", "accept": false, - "reason": "Both are docs-related, but one is a missing section and the other is a broken fp16 link; different fixes." + "reason": "Both are docs-related, but one is a missing optimization section and the other is a broken fp16 link; unrelated documentation issues." }, { "left": "issue:1205", "right": "issue:542", "accept": false, - "reason": "Both concern ONNX export, but one is Stable Diffusion model conversion and the other is UNet export; not the same bug." + "reason": "Both are ONNX export topics, but one is converting full Stable Diffusion models and the other is a UNet export issue; too different to be one bug." }, { "left": "issue:2351", "right": "issue:5166", "accept": false, - "reason": "Scheduler velocity API and VQVAE scaling factor are unrelated code paths." + "reason": "A missing scheduler method versus a missing VQ-VAE scaling factor in a pipeline; different components and fixes." }, { "left": "issue:3009", "right": "issue:3029", "accept": false, - "reason": "General ControlNet training advice is not the same as a custom resolution question." + "reason": "General ControlNet training advice is not the same as a custom-resolution question." }, { "left": "issue:3221", "right": "issue:7548", "accept": false, - "reason": "Attn processor loading and AnimateDiff flicker are different failures." + "reason": "One is an attention-procs loading API issue; the other is AnimateDiff flicker output quality. Same subsystem, different problems." }, { "left": "issue:5160", "right": "issue:5605", "accept": false, - "reason": "Masking support and per-image captions are different training features." + "reason": "Masking support and per-image caption support are distinct training features." }, { "left": "issue:10526", "right": "issue:8556", "accept": false, - "reason": "Both are model-loading/dtype-adjacent, but the concrete failures and code paths differ: optimum.quanto TypeError vs meta tensor copy error." + "reason": "Different models and error modes: optimum.quanto FP8 TypeError versus meta-tensor load failure in SD3 from_single_file." }, { "left": "issue:3960", "right": "issue:6713", "accept": false, - "reason": "Both mention HeaderTooLarge, but one is LoRA-related generally and the other is a specific SD conversion script; not enough to call them the same bug." + "reason": "Both mention HeaderTooLarge, but one is about LoRA and the other about the conversion script; insufficient evidence of the same underlying bug." }, { "left": "issue:4107", "right": "issue:5016", "accept": false, - "reason": "Both involve SDXL LoRA training, but one reports quality degradation and the other a text-encoder training limitation." + "reason": "LoRA noise/reduced quality is unrelated to SDXL text encoder training not being enabled." }, { "left": "issue:4708", "right": "issue:7177", "accept": false, - "reason": "Import failure in diffusers.utils and StableCascadeDecoderPipeline.from_pretrained error are different issues." + "reason": "Generic import error versus StableCascade decoder from_pretrained failure; not the same issue." }, { "left": "issue:6372", "right": "issue:6497", "accept": false, - "reason": "SVD+ControlNet support and DragNUWA support are distinct model/pipeline additions." + "reason": "SVD+ControlNet support and DragNUWA support are separate model/pipeline feature requests." }, { "left": "issue:10412", "right": "issue:8732", "accept": false, - "reason": "Training VRAM blowup and checkpoint-saving problems are unrelated." + "reason": "VRAM overuse in SD3.5 DreamBooth training is unrelated to checkpoint-saving issues in SD1.5 advanced training." }, { "left": "issue:1918", "right": "issue:5515", "accept": false, - "reason": "DDIM scheduler example issue and LCM pipeline initialization without scheduler are different scheduler bugs." + "reason": "Both scheduler-related, but one is a DDIM example bug and the other is LCM pipeline initialization without a scheduler; different failure points." }, { "left": "issue:1896", "right": "issue:660", "accept": false, - "reason": "A dict-size error in CLIP-guided SD is not the same as an MPS fp16 runtime issue." + "reason": "A CLIP-guided Stable Diffusion size/type error is not the same as an MPS fp16 runtime issue." }, { "left": "issue:2900", "right": "issue:3585", "accept": false, - "reason": "LoRA merging/saving guidance is not the same as a failed synthesized-LoRA model usage report." + "reason": "Both mention LoRA merging, but one asks how to merge/save LoRA weights and the other reports a failure using a synthesized-LoRA model; not clearly the same bug." }, { "left": "issue:5760", "right": "issue:7864", "accept": false, - "reason": "These are unrelated research/model requests: video-to-audio synthesis vs camera motion transfer." + "reason": "Different research/demo projects in video generation; no shared concrete bug or change." }, { "left": "issue:1231", "right": "issue:835", "accept": false, - "reason": "Flax K-LMS scheduler and numpy_to_pil output conversion are different bugs." + "reason": "A Flax scheduler issue and a Flax numpy_to_pil failure are unrelated." }, { "left": "issue:12412", "right": "issue:13301", "accept": false, - "reason": "Support requests for different models/pipelines are not duplicates." + "reason": "Support requests for different model families and pipelines; not duplicates." }, { "left": "issue:3140", "right": "issue:6142", "accept": false, - "reason": "ControlNet import error and missing start_training NameError are unrelated." + "reason": "StableDiffusionControlNetPipeline import failure versus missing start_training symbol; unrelated errors." }, { "left": "issue:4366", "right": "issue:5968", "accept": false, - "reason": "SDXL full U-Net fine-tuning and video-to-ONNX conversion are different requests." + "reason": "Full U-Net SDXL fine-tuning and video-to-ONNX conversion are unrelated tasks." }, { "left": "issue:11050", "right": "issue:9527", "accept": false, - "reason": "Both are dtype/mixed-precision complaints, but one pinpoints uncast prompt embeddings in SD3 ControlNet training while the other reports a broader controlnet/mainpipe dtype mismatch." + "reason": "Both are dtype-related, but one is a missing cast in a specific training script and the other is a controlnet/mainpipe precision mismatch; not the same concrete fix." }, { "left": "issue:2444", "right": "issue:4839", "accept": false, - "reason": "Dreambooth inpaint script failure and lora_scale type error are different problems." - }, - { - "left": "issue:9857", - "right": "issue:9858", - "accept": false, - "reason": "Embedding size mismatch and KeyError: 'train' are separate failures." + "reason": "DreamBooth inpaint script failure and lora_scale type error are different problems." } ] }, @@ -72362,7 +72255,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10147", "issue:10446", @@ -72376,7 +72269,6 @@ "issue:1335", "issue:1949", "issue:2538", - "issue:2695", "issue:2844", "issue:2947", "issue:3418", @@ -72384,7 +72276,6 @@ "issue:4297", "issue:4390", "issue:4456", - "issue:4534", "issue:4584", "issue:4619", "issue:4736", @@ -72408,11 +72299,14 @@ "issue:8410", "issue:8803", "issue:9648", + "issue:9857", + "issue:9858", "issue:988", "issue:989", "issue:9911" ], "soft_pairs": [ + "issue:9857|issue:9858", "issue:4736|issue:5849", "issue:10147|issue:10462", "issue:10446|issue:9911", @@ -72435,181 +72329,180 @@ "issue:1082|issue:989", "issue:5846|issue:5849", "issue:6794|issue:7079", - "issue:4584|issue:4619", - "issue:2695|issue:4534" + "issue:4584|issue:4619" ], - "prepared_review_unit_hash": "864f680b75ea47cc54419ff46f03868a52eda715caba8563c46eabbb7c1477d4", + "prepared_review_unit_hash": "7e3763374682d3b746f41d6117337b990a92604555e7a6bdbe8c476b7f992982", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33864, - "estimated_input_tokens": 8466, - "estimated_eval_tokens": 17188 + "serialized_chars": 33746, + "estimated_input_tokens": 8437, + "estimated_eval_tokens": 17130 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is mostly unrelated issue-to-issue matches; the soft similarities are driven by broad terms like training, validation, pipelines, or model names, not the same underlying bug/change. I would not merge any of the candidate pairs as duplicates.", - "confidence": 0.36, - "canonical_issue_reason": "Issue #10446 is the strongest single anchor: it is specific, well-described, and has the most substantial discussion around a concrete code-path incompatibility (multi-gpu/model-sharding with FluxControlNetPipeline).", + "summary": "This cluster is not a true duplicate set: it mixes unrelated feature requests, training-example issues, pipeline/runtime bugs, and hardware/backend compatibility problems across many different code paths.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a safe canonical representative; the items are thematically broad but technically unrelated.", "canonical_pr_reason": null, - "best_issue_reason": "#10446 is the best representative issue in this set because it is detailed, active, and grounded in a concrete runtime incompatibility rather than a vague feature request or generic error report.", + "best_issue_reason": "No global best issue is suitable because the cluster does not describe one underlying bug or change.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:9857", + "right": "issue:9858", + "accept": false, + "reason": "One is a FLUX ControlNet embedding size mismatch, the other is a KeyError: 'train'; different failures." + }, { "left": "issue:4736", "right": "issue:5849", "accept": false, - "reason": "Same training script family, but different failures: OOM/invalid cast versus an accelerate entrypoint TypeError. Not the same bug." + "reason": "OOM/cast errors in SDXL LoRA training vs accelerate launch missing args; not the same bug." }, { "left": "issue:10147", "right": "issue:10462", "accept": false, - "reason": "Both mention multi-* generation/customization, but one is MV-Adapter support and the other is CogVideoX multi-ID customization. Different features." + "reason": "Multi-view MV-Adapter support request vs CogVideoX multi-ID customization; different features." }, { "left": "issue:10446", "right": "issue:9911", "accept": false, - "reason": "Both are Flux-related, but one is model-sharding incompatibility and the other is multi-ControlNet shape/layer mismatch. Different concrete problems." + "reason": "FluxControlNetPipeline model-sharding incompatibility vs multi-ControlNet layer-length mismatch; different code paths." }, { "left": "issue:12124", "right": "issue:13062", "accept": false, - "reason": "Unrelated topics: dataloader shuffle behavior in qwen-image training versus unsupported onnxruntime-windowsml." + "reason": "Dataloader shuffle question for qwen-image training vs unsupported onnxruntime-windowsml backend." }, { "left": "issue:2947", "right": "issue:4456", "accept": false, - "reason": "Both are loader/attribute errors, but they affect different loader paths and have different missing attributes. Not the same defect." + "reason": "UNet missing load_attn_procs attribute vs ModuleList indexing error in LoRA loading; unrelated loader issues." }, { "left": "issue:4969", "right": "issue:5300", "accept": false, - "reason": "ImportError for CrossAttention is unrelated to the package connecting to the internet." + "reason": "CrossAttention import error vs package connecting to internet; different problems." }, { "left": "issue:5538", "right": "issue:8803", "accept": false, - "reason": "Different bugs in different model components: encoder-decoder latent usage versus duplicate hidden_states assignment." + "reason": "Upscale pipeline latent usage question vs duplicate assignment in attention processor; unrelated." }, { "left": "issue:4932", "right": "issue:7220", "accept": false, - "reason": "Dreambooth checkpoint output issue and IP-Adapter unload error are separate pipeline behaviors." + "reason": "Dreambooth output file issue vs unload_ip_adapter error in a ControlNet inpaint pipeline; not the same bug." }, { "left": "issue:4767", "right": "issue:5254", "accept": false, - "reason": "Scheduler prediction_type support and multi-ControlNet inpaint support are distinct change requests." + "reason": "Scheduler prediction_type support vs multi-ControlNet support in inpaint pipeline; different changes." }, { "left": "issue:4977", "right": "issue:5592", "accept": false, - "reason": "One is about checkpoint removal behavior in an example, the other about loading UniDiffuser checkpoints. Different code paths." + "reason": "Checkpoint removal in an example script vs UniDiffuser checkpoint loading failure; different artifacts." }, { "left": "issue:5628", "right": "issue:6159", "accept": false, - "reason": "Both mention denoising_end, but one is an offset bug in LMS/Karras scheduling while the other is missing pipeline kwarg support." + "reason": "LMS scheduler denoising offset vs missing denoising_end support in ControlNetXSPipeline; different scheduler/pipeline issues." }, { "left": "issue:4297", "right": "issue:6295", "accept": false, - "reason": "Both report artifacts, but the affected pipelines and probable causes differ (SDXL img2img batching vs DPM++ 2M SDE Karras)." + "reason": "SDXL batched img2img artifacts vs DPM++ 2M SDE Karras artifacts; similar symptom but not the same concrete bug." }, { "left": "issue:11561", "right": "issue:8410", "accept": false, - "reason": "IP-Adapter support for FluxFillPipeline is unrelated to native TextDiffuser support." + "reason": "FluxFill IP-Adapter support vs native TextDiffuser support; different feature requests." }, { "left": "issue:1251", "right": "issue:3769", "accept": false, - "reason": "Black output on MPS in RePaintPipeline is not the same issue as quartered panorama output." + "reason": "MPS black image in RePaintPipeline vs panorama quartered output; distinct pipeline bugs." }, { "left": "issue:1335", "right": "issue:4390", "accept": false, - "reason": "A missing vae_encoder parameter is not the same as missing requirements." + "reason": "Missing vae_encoder argument vs missing requirements; unrelated import/setup issues." }, { "left": "issue:2538", "right": "issue:3418", "accept": false, - "reason": "Both involve text encoder options in LoRA scripts, but they target different example scripts and likely different implementation work." + "reason": "Enabling train_text_encoder in one script vs adding text-encoder part in another training script; related theme but not the same change." }, { "left": "issue:5334", "right": "issue:988", "accept": false, - "reason": "One asks for multi-model support in Accelerate wrappers; the other is a broad FSDP training question. Not the same bug/change." + "reason": "Accelerate multi-model handling request vs FSDP training examples; broad training infrastructure, but not the same issue." }, { "left": "issue:12113", "right": "issue:9648", "accept": false, - "reason": "Channel mismatch in WanImageToVideoPipeline is unrelated to VAE tiling causing memory overflow." + "reason": "WanImageToVideo input channel mismatch vs VAE tiling memory overflow; different root causes." }, { "left": "issue:1949", "right": "issue:2844", "accept": false, - "reason": "General Dreambooth tutorial errors and explicit image-embedding runtime failure in StableUnCLIP are separate issues." + "reason": "Dreambooth tutorial training errors vs explicit image embeddings in StableUnCLIPImg2ImgPipeline; unrelated." }, { "left": "issue:1082", "right": "issue:989", "accept": false, - "reason": "Different training/runtime failures: CUBLAS matmul execution failure versus weight dimensionality error." + "reason": "Dreambooth cublasLtMatmul failure vs generic weight dimensionality error; not the same bug." }, { "left": "issue:5846", "right": "issue:5849", "accept": false, - "reason": "Both concern train_text_to_image_lora_sdxl.py, but one is a resume-from-checkpoint problem and the other is an accelerate launch signature issue." + "reason": "resume_from_checkpoint error vs accelerate launch missing args; both training-script issues but different failures." }, { "left": "issue:6794", "right": "issue:7079", "accept": false, - "reason": "Import failure for cast_training_params is unrelated to a Transformer2DModel patch/norm_type runtime error." + "reason": "Import error for cast_training_params vs Transformer2DModel patch/norm_type error; unrelated." }, { "left": "issue:4584", "right": "issue:4619", "accept": false, - "reason": "Same script, but different concrete failures: checkpoint resume handling versus input/bias dtype mismatch." - }, - { - "left": "issue:2695", - "right": "issue:4534", - "accept": false, - "reason": "Both fail during validation, but in different training setups and for different reasons." + "reason": "resume_from_checkpoint error in SDXL LoRA training vs half/float bias mismatch; different training bugs." } ] }, @@ -72631,7 +72524,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10933", @@ -72649,7 +72542,7 @@ "issue:1546", "issue:2202", "issue:2471", - "issue:2984", + "issue:2695", "issue:3087", "issue:3689", "issue:4030", @@ -72658,8 +72551,8 @@ "issue:4332", "issue:4368", "issue:4478", + "issue:4534", "issue:4615", - "issue:5046", "issue:5079", "issue:5245", "issue:5327", @@ -72683,6 +72576,7 @@ "issue:9813" ], "soft_pairs": [ + "issue:2695|issue:4534", "issue:4478|issue:8241", "issue:1546|issue:4269", "issue:7432|issue:7572", @@ -72706,187 +72600,186 @@ "issue:4030|issue:5327", "issue:4107|issue:4368", "issue:10100|issue:12358", - "issue:2202|issue:3087", - "issue:2984|issue:5046" + "issue:2202|issue:3087" ], - "prepared_review_unit_hash": "ded9bf5aa97ad1c5348ab1421b405143052ec8cff0d900466113a0fa533863cf", + "prepared_review_unit_hash": "8494d4b350226c1c3a9a992e67b248c0c9c4c5e40da3fcfdf075a1d52798904d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34031, - "estimated_input_tokens": 8508, - "estimated_eval_tokens": 17272 + "serialized_chars": 34075, + "estimated_input_tokens": 8519, + "estimated_eval_tokens": 17294 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is a loose topical cluster, not a duplicate cluster: the soft pairs mostly share broad keywords like \"load\", \"noise\", \"import\", or specific model families, but they describe different bugs or feature requests. No soft edge looks like the same concrete change/bug. Among the issues, #12895 is the strongest standalone candidate because it is a specific, reproducible crash report with a clear code path.", - "confidence": 0.92, - "canonical_issue_reason": "#12895 is the most actionable issue here: it reports a concrete SD3 crash, includes a specific triggering condition (batched prompts + num_images_per_prompt), and is well-scoped for debugging.", + "summary": "The set is broadly heterogeneous; the soft pairs are mostly superficial topic matches rather than true duplicates. No PRs are present.", + "confidence": 0.22, + "canonical_issue_reason": "If a single issue must be chosen, issue 12783 is the most concrete, reproducible open bug report in the noisy-output/attention area, but the overall set is not a single duplicate cluster.", "canonical_pr_reason": null, - "best_issue_reason": "#12895 is the best issue overall because it has the clearest repro and the most directly inspectable bug surface among these standalone reports.", + "best_issue_reason": "Issue 12783 is the strongest standalone issue: it has a clear symptom, current impact, and enough detail to be actionable.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2695", + "right": "issue:4534", + "accept": false, + "reason": "Both are training/validation crashes, but they affect different pipelines and error paths." + }, { "left": "issue:4478", "right": "issue:8241", "accept": false, - "reason": "Both are model-loading/runtime errors, but they involve different models and different failure modes." + "reason": "Different models and different failures: dtype mismatch versus abnormal model size." }, { "left": "issue:1546", "right": "issue:4269", "accept": false, - "reason": "Both mention input validation/batched inputs, but the actual bugs are different code paths and different exceptions." + "reason": "Both involve input validation, but one is truncation/batched input behavior and the other is a TypeError in check_inputs." }, { "left": "issue:7432", "right": "issue:7572", "accept": false, - "reason": "One is about output differences vs WebUI; the other is a dtype mismatch runtime error. Not the same bug." + "reason": "One is about image quality differences; the other is a concrete dtype mismatch error." }, { "left": "issue:11661", "right": "issue:9227", "accept": false, - "reason": "Both touch FLUX training, but one is a max_train_steps bug and the other is a broader training script/model-run problem." + "reason": "Different training scripts and different bugs; only a broad LoRA/training theme overlaps." }, { "left": "issue:8837", "right": "issue:8989", "accept": false, - "reason": "Different subsystems and failures: sliced attention processor vs sequential offloading in Stable Audio." + "reason": "Both concern performance/attention-related behavior, but they are distinct code paths and symptoms." }, { "left": "issue:10933", "right": "issue:11396", "accept": false, - "reason": "Different tasks entirely: IP-Adapter XL loading error vs converting a HiDream LoRA format." + "reason": "IP-Adapter loading error versus a LoRA conversion question; not the same underlying bug." }, { "left": "issue:11117", "right": "issue:12895", "accept": false, - "reason": "Different runtime errors in different scenarios: dtype mismatch in SD3 vs NoneType.ndim with batched prompts." + "reason": "Different Stable Diffusion 3 failures: dtype mismatch versus NoneType batching crash." }, { "left": "issue:11779", "right": "issue:9479", "accept": false, - "reason": "Both concern masking/inpainting, but they describe different pipelines and different incorrect behavior." + "reason": "Both involve masking, but one is Wan VACE mask padding and the other is inpaint overwriting unmasked regions." }, { "left": "issue:11901", "right": "issue:13137", "accept": false, - "reason": "Both are LoRA loading issues, but they target different model families and distinct loading paths." + "reason": "Model-specific LoRA loading failures with different models and error modes." }, { "left": "issue:12567", "right": "issue:12783", "accept": false, - "reason": "Similar symptom of noisy output, but the attention implementations and code paths are different." + "reason": "Both mention noisy output from attention optimizations, but the implementations and failure details differ." }, { "left": "issue:1305", "right": "issue:3087", "accept": false, - "reason": "A paper/feature request vs LoRA family support; not the same underlying change." + "reason": "Direct inversion support request and LyCORIS support are unrelated feature requests." }, { "left": "issue:3689", "right": "issue:5079", "accept": false, - "reason": "One asks to unload LoRA weights; the other asks to load LyCORIS via load_lora_weights. Different features." + "reason": "Related to LoRA APIs, but one is unloading weights and the other is loading LyCORIS." }, { "left": "issue:4332", "right": "issue:7420", "accept": false, - "reason": "Different acceleration/runtime issues: xformers support for a pipeline vs torch.compile failure." + "reason": "xformers usage in a specific pipeline versus torch.compile enablement are unrelated." }, { "left": "issue:4615", "right": "issue:5245", "accept": false, - "reason": "Import-related, but one is a missing symbol error and the other is a freeze during pipenv import." + "reason": "ImportError in diffusers versus a pipenv import-stage freeze; not the same issue." }, { "left": "issue:5245", "right": "issue:7191", "accept": false, - "reason": "Both mention imports, but the reported symptoms and likely causes are unrelated." + "reason": "Generic import problems, but no shared code path or concrete failure mode." }, { "left": "issue:6439", "right": "issue:9531", "accept": false, - "reason": "Docs link 404 vs SDXL sigma scheduling change; unrelated." + "reason": "Docs link 404 and SDXL sigma tuning are unrelated." }, { "left": "issue:8827", "right": "issue:9813", "accept": false, - "reason": "Both involve IP-Adapter, but one is a faceid loader error and the other is batch feature mixing in embed preparation." + "reason": "Both are IP-Adapter-related, but one is a FaceID loading error and the other is batch feature mixing." }, { "left": "issue:5573", "right": "issue:7138", "accept": false, - "reason": "ControlNet initialization slowness vs SDXL UNet structure mismatch; different bugs." + "reason": "ControlNet initialization slowness versus SDXL UNet structure mismatch are different problems." }, { "left": "issue:6109", "right": "issue:8930", "accept": false, - "reason": "Different ControlNet-related behavior: ControlNet-xs depth support vs pose conditioning not being respected." + "reason": "Both involve ControlNet-like conditioning, but they target different pipelines and bugs." }, { "left": "issue:2471", "right": "issue:5607", "accept": false, - "reason": "A size-compatibility issue in Attend-and-Excite vs a tensor concatenation size mismatch error; not the same bug." + "reason": "Both mention shape-related failures, but the underlying pipelines and tensor mismatch causes are different." }, { "left": "issue:4030", "right": "issue:5327", "accept": false, - "reason": "Different problems in different pipelines: SD2.1 embedding runtime error vs SDXL textual inversion load failure." + "reason": "Embedding/textual-inversion related, but one is a runtime embedding error and the other is an SDXL import/load issue." }, { "left": "issue:4107", "right": "issue:4368", "accept": false, - "reason": "One is image quality/noise after applying LoRA; the other is training OOM. Different issues." + "reason": "Noise/quality degradation and OOM during LoRA training are not the same bug." }, { "left": "issue:10100", "right": "issue:12358", "accept": false, - "reason": "Both are feature requests to add model support, but for different models and pipelines." + "reason": "Both are feature requests for new pipelines, but they are for different models and changes." }, { "left": "issue:2202", "right": "issue:3087", "accept": false, - "reason": "OpenVINO pipeline support vs LyCORIS model support are unrelated feature requests." - }, - { - "left": "issue:2984", - "right": "issue:5046", - "accept": false, - "reason": "Different research-model feature requests with no shared concrete code-path change." + "reason": "OpenVINO pipeline support and LyCORIS support are unrelated requests." } ] }, @@ -72908,7 +72801,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10029", @@ -72926,8 +72819,8 @@ "issue:1957", "issue:2266", "issue:2507", - "issue:2532", "issue:2775", + "issue:2984", "issue:3026", "issue:3585", "issue:3937", @@ -72935,12 +72828,12 @@ "issue:4551", "issue:4605", "issue:4618", + "issue:5046", "issue:5110", "issue:5274", "issue:5594", "issue:5678", "issue:5714", - "issue:5824", "issue:5829", "issue:6335", "issue:6520", @@ -72959,6 +72852,7 @@ "issue:9927" ], "soft_pairs": [ + "issue:2984|issue:5046", "issue:9858|issue:9927", "issue:10029|issue:10398", "issue:2266|issue:2507", @@ -72981,181 +72875,180 @@ "issue:10010|issue:9032", "issue:10782|issue:12149", "issue:11581|issue:11885", - "issue:11592|issue:9171", - "issue:2532|issue:5824" + "issue:11592|issue:9171" ], - "prepared_review_unit_hash": "d1dddc95e0ead33c5f530002d9a0e6053a01ad1af1b6bc0ab08f19e91889066b", + "prepared_review_unit_hash": "1b35112be0d07dfa1a98171a776bdca0a35c0e5fbb44dd84777b95834a99c4e3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33882, - "estimated_input_tokens": 8471, - "estimated_eval_tokens": 17198 + "serialized_chars": 33862, + "estimated_input_tokens": 8466, + "estimated_eval_tokens": 17188 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All proposed soft links look like false positives: the items span unrelated bugs, regressions, feature requests, and training/runtime issues across different pipelines and components. No single canonical issue or PR stands out for this cluster.", + "summary": "All proposed soft links are false positives; the items are a heterogeneous mix of unrelated bugs, features, and regressions rather than one duplicate cluster.", "confidence": 0.96, - "canonical_issue_reason": null, + "canonical_issue_reason": "No single canonical duplicate: the issues span unrelated code paths and product areas.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:11581 is the most concrete standalone bug report in the set, with a specific runtime error and likely actionable fix.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2984", + "right": "issue:5046", + "accept": false, + "reason": "Different topics: a video diffusion paper/proposal vs a drag-style manipulation feature request." + }, { "left": "issue:9858", "right": "issue:9927", "accept": false, - "reason": "Different failures in different contexts: a KeyError during training vs a HeaderTooLarge error in ControlNet training." + "reason": "Both are training-related errors, but the failure modes differ completely (`KeyError: 'train'` vs `HeaderTooLarge`)." }, { "left": "issue:10029", "right": "issue:10398", "accept": false, - "reason": "Both mention model/PEFT loading, but one is a missing base_layer attribute and the other is target modules not found; not the same bug." + "reason": "Both involve PEFT/adapter loading, but one is a missing `base_layer` attribute and the other is missing target modules in the base model." }, { "left": "issue:2266", "right": "issue:2507", "accept": false, - "reason": "Both are performance complaints, but one is sequential CPU offload slowdown and the other is GPU safetensors loading being slower than CPU." + "reason": "Both mention performance, but one is sequential CPU offload slowdown and the other is safetensors GPU loading being slower than CPU." }, { "left": "issue:4618", "right": "issue:5110", "accept": false, - "reason": "A usage question about ControlNet/SDXL is unrelated to an HFValidationError about repo-id formatting." + "reason": "Completely unrelated: SDXL ControlNet usage vs Hugging Face repo-id validation failure." }, { "left": "issue:11223", "right": "issue:11674", "accept": false, - "reason": "One is an OOM bug with layer-wise upcasting and LoRAs; the other is a feature request for Wan VACE inputs." + "reason": "Different requests: an OOM bug with LoRAs under layer-wise upcasting vs a feature request for Wan VACE inputs." }, { "left": "issue:10010", "right": "issue:7836", "accept": false, - "reason": "FLUX Fill download failure is unrelated to a CLIP training example overfitting report." + "reason": "Unrelated bugs: a FLUX Fill model download failure vs CLIP training overfitting." }, { "left": "issue:1957", "right": "issue:5274", "accept": false, - "reason": "Both involve training scripts, but the scheduler init fix and fp16 dtype mismatch are different bugs." + "reason": "Different training problems: LR scheduler initialization vs mixed-precision dtype mismatch." }, { "left": "issue:5594", "right": "issue:6529", "accept": false, - "reason": "A LoRA memory-saving request for SDXL is unrelated to an SDXL Fooocus Inpaint issue." + "reason": "Different concerns: SDXL LoRA memory-saving discussion vs Fooocus inpaint support." }, { "left": "issue:5714", "right": "issue:7185", "accept": false, - "reason": "PeftModel warning support and PyTorch version compatibility are separate issues." + "reason": "Unrelated issues: PeftModel handling in `maybe_raise_or_warn` vs PyTorch 2.2 compatibility." }, { "left": "issue:3026", "right": "issue:3585", "accept": false, - "reason": "Different failure modes in unrelated workflows: instruct_pix2pix launch error vs loading a LoRA-synthesized model." + "reason": "Different code paths and symptoms: instruct-pix2pix launch failure vs LoRA synthesis into SD1.5 failing." }, { "left": "issue:7168", "right": "issue:7640", "accept": false, - "reason": "Both mention dimensions, but one is IP-Adapter embedding shape handling and the other is a from_single_file size/runtime error." + "reason": "Both are image-generation issues, but IP-Adapter embedding shape handling is not the same as `from_single_file` dimension errors." }, { "left": "issue:10640", "right": "issue:6794", "accept": false, - "reason": "Flux DataParallel multi-GPU failure is unrelated to an import error for cast_training_params." + "reason": "Different subsystems: FluxInpaint/DataParallel GPU error vs import failure for `cast_training_params`." }, { "left": "issue:3937", "right": "issue:6567", "accept": false, - "reason": "ZeroscopeXL model loading and an SD 1.5 config warning are unrelated." + "reason": "Unrelated: ZeroscopeXL model loading behavior vs an SD 1.5 import warning about `text_config_dict`." }, { "left": "issue:4478", "right": "issue:4605", "accept": false, - "reason": "Different SDXL pipeline errors with no clear shared code-path or underlying defect." + "reason": "Both are SD model errors, but one is a dtype/bias mismatch in SDXL loading and the other is an inpaint pipeline error." }, { "left": "issue:2775", "right": "issue:6520", "accept": false, - "reason": "A torch._dynamo decorator/runtime error is unrelated to blank validation outputs in adapter training." + "reason": "Different failures: a Torch Dynamo optimization error vs blank validation outputs during adapter training." }, { "left": "issue:4551", "right": "issue:5829", "accept": false, - "reason": "DreamBooth crash on SDXL and missing unet_time_cond_proj_dim in LCM training are different configuration issues." + "reason": "Different training crashes: SDXL DreamBooth failure vs missing `unet_time_cond_proj_dim` in LCM scripts." }, { "left": "issue:11148", "right": "issue:12501", "accept": false, - "reason": "PEFT adapter state handling and a VAE decoder graph break are unrelated code paths." + "reason": "Both are bugs, but one is PEFT adapter state tracking and the other is a VAE decoder graph-break issue." }, { "left": "issue:6335", "right": "issue:6598", "accept": false, - "reason": "Output-size control bug in ControlNet img2img is not the same as nondeterministic img2img results." + "reason": "Different img2img problems: output-size control vs differing results for identical parameters." }, { "left": "issue:5678", "right": "issue:7575", "accept": false, - "reason": "Higher-order derivative issues in attention are unrelated to a Transformer2DModel shape error with adanorm." + "reason": "Distinct model/math issues: higher-order derivative behavior in attention vs a shape error in Transformer2DModel with adanorm." }, { "left": "issue:10010", "right": "issue:9032", "accept": false, - "reason": "A FLUX Fill example download error is unrelated to a FlaxStableDiffusionPipeline TPU usage question." + "reason": "Completely unrelated: FLUX Fill example download failure vs a Flax/TPU setup question." }, { "left": "issue:10782", "right": "issue:12149", "accept": false, - "reason": "A Lumina Image minor issue is unrelated to a package/source mismatch report." + "reason": "Different scopes: a Lumina Image 2.0 minor issue vs package/source version mismatch." }, { "left": "issue:11581", "right": "issue:11885", "accept": false, - "reason": "Both are FLUX/Lora-adjacent, but IP-Adapter dtype constructor failure and load_lora_weights regression are different bugs." + "reason": "Both concern FLUX adapters, but one is an IP-Adapter constructor dtype error and the other is a LoRA loading regression." }, { "left": "issue:11592", "right": "issue:9171", "accept": false, - "reason": "A delete_adapters regression in FluxLoraLoaderMixin is unrelated to the v_prediction single-file regression." - }, - { - "left": "issue:2532", - "right": "issue:5824", - "accept": false, - "reason": "StableDiffusionPanoramaPipeline view generation bug and SDXL add_time_ids default issue are separate pipeline defects." + "reason": "Unrelated regressions: FluxLoraLoaderMixin adapter deletion vs SD 1.5 `v_prediction` handling in `from_single_file`." } ] }, @@ -73177,12 +73070,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10940", "issue:11127", "issue:1214", "issue:1530", + "issue:2532", "issue:2696", "issue:3089", "issue:3171", @@ -73201,14 +73095,13 @@ "issue:5054", "issue:5152", "issue:5372", - "issue:5821", + "issue:5824", "issue:5981", "issue:5989", "issue:6159", "issue:6183", "issue:6258", "issue:6790", - "issue:7000", "issue:7009", "issue:7041", "issue:7210", @@ -73228,6 +73121,7 @@ "issue:9953" ], "soft_pairs": [ + "issue:2532|issue:5824", "issue:2696|issue:460", "issue:3089|issue:5989", "issue:3171|issue:447", @@ -73250,181 +73144,180 @@ "issue:8900|issue:9209", "issue:1530|issue:5002", "issue:4414|issue:9023", - "issue:4605|issue:962", - "issue:5821|issue:7000" + "issue:4605|issue:962" ], - "prepared_review_unit_hash": "197657994b9dc657a655f58e3b865e9a596ad944bf56c37cf363016c6ca64aa5", + "prepared_review_unit_hash": "610c32b0b96ca39c913a7142487a73d6d99df01272d740ef5a84f1c7454fe4ed", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33453, - "estimated_input_tokens": 8364, - "estimated_eval_tokens": 16984 + "serialized_chars": 33464, + "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 not a true duplicate family; it\u2019s a mixed bag of unrelated issues across loading, precision, schedulers, pipelines, and environment/runtime errors. All soft edges should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue fits: the items span many unrelated bug reports and feature requests, so none is a safe duplicate anchor.", + "summary": "This is not a true duplicate cluster: the soft pairs mostly share only broad diffusion-model vocabulary or the same subsystem, but they describe different bugs, features, or backend/platform failures. I would not merge any of the proposed pairs.", + "confidence": 0.98, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "No global best issue for deduplication purposes; the most active items are still unrelated to the rest of the set.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2532", + "right": "issue:5824", + "accept": false, + "reason": "Both involve Stable Diffusion pipeline internals, but one is a panorama get_views bug and the other is an SDXL add_time_ids default issue; different code paths and symptoms." + }, { "left": "issue:2696", "right": "issue:460", "accept": false, - "reason": "CUDA build/install error vs ONNXRuntime CPU dependency issue; different stacks and root causes." + "reason": "CUDA installation/runtime error vs ONNX Runtime backend dependency selection; these are separate environment/backend problems." }, { "left": "issue:3089", "right": "issue:5989", "accept": false, - "reason": "DDPM scheduler bug vs safetensors.torch bug; unrelated code paths." + "reason": "DDPM scheduler logic bug and safetensors.torch bug are unrelated components with different failure modes." }, { "left": "issue:3171", "right": "issue:447", "accept": false, - "reason": "ControlNet long-prompt usage request vs prompt truncation detection API; different features." + "reason": "LPW prompt support for ControlNet vs prompt truncation detection/return values; different feature requests." }, { "left": "issue:4000", "right": "issue:8373", "accept": false, - "reason": "Checkpoint conversion problem vs incorrect error message; not the same bug." + "reason": "Model ckpt conversion problem vs an incorrect error message; not the same underlying bug." }, { "left": "issue:4080", "right": "issue:4675", "accept": false, - "reason": "Add SDXL inpainting pipeline vs ControlNet Reference Only for SDXL; separate feature requests." + "reason": "SDXL inpainting pipeline request vs ControlNet Reference Only support; separate features." }, { "left": "issue:5054", "right": "issue:5372", "accept": false, - "reason": "Missing final_offload_hook attribute vs safety_checker usage question; unrelated pipeline issues." + "reason": "Missing final_offload_hook attribute and safety_checker usage are different StableDiffusionXL API issues." }, { "left": "issue:6790", "right": "issue:7592", "accept": false, - "reason": "LCM training state_dict mismatch vs DoRA key loading bug; both loading-related but different mechanisms and fixes." + "reason": "Both are state_dict loading problems, but one is an LCM example key mismatch and the other is DoRA key loading; not the same concrete bug." }, { "left": "issue:7041", "right": "issue:8792", "accept": false, - "reason": "Segfault on multiple inference steps vs image quality regression after migration; different symptoms and likely causes." + "reason": "Segfault at num_inference_steps > 1 is a runtime crash; image-quality degradation during migration is a separate quality regression." }, { "left": "issue:11127", "right": "issue:9856", "accept": false, - "reason": "Single-file FLUX model incompatibility vs distributed port collision; completely different problem domains." + "reason": "Single-file FLUX model loading failure vs distributed port collision; unrelated errors." }, { "left": "issue:8644", "right": "issue:9953", "accept": false, - "reason": "Sequential/model offload meta tensor failure vs moving quantized component to CUDA; distinct runtime paths." + "reason": "Both mention device/offload behavior, but one is T5 encoder sequential offload meta-tensor failure and the other is moving a quantized component to CUDA; different code paths." }, { "left": "issue:4403", "right": "issue:6159", "accept": false, - "reason": "Half-precision LayerNorm failure vs missing denoising_end argument support; unrelated issues." + "reason": "Half-precision LayerNorm failure vs missing denoising_end argument support; unrelated." }, { "left": "issue:6183", "right": "issue:8373", "accept": false, - "reason": "Wrong tensor shape from_single_file vs incorrect error message; not the same bug." + "reason": "Incorrect tensor shape from from_single_file is not the same as an incorrect error message." }, { "left": "issue:10940", "right": "issue:7210", "accept": false, - "reason": "Missing triton.ops import vs accelerate checkpoint dispatch attribute error; different failure points." + "reason": "Missing triton.ops import and missing named_parameters under accelerate are different integration issues." }, { "left": "issue:1214", "right": "issue:4139", "accept": false, - "reason": "CLIPTextModel half-precision failure vs custom diffusion attention processor casting; related to precision but not the same underlying bug." + "reason": "Both concern precision, but CLIPTextModel half-precision support and custom attention processor casting are not the same bug." }, { "left": "issue:4542", "right": "issue:7355", "accept": false, - "reason": "SDXL img2img image-count bug vs Stable Cascade resolution/bfloat16 error; different models and behaviors." + "reason": "Cannot generate more than one image in SDXL img2img vs Stable Cascade arbitrary-resolution bfloat16 errors; unrelated." }, { "left": "issue:4753", "right": "issue:8236", "accept": false, - "reason": "Dreambooth LoRA script bug vs incorrect multi-GPU scheduler step count; separate training issues." + "reason": "train_dreambooth_lora.py problem vs wrong multi-GPU LR scheduler step count; different training bugs." }, { "left": "issue:9279", "right": "issue:9292", "accept": false, - "reason": "Dynamic LoRA loading with torch.compile vs FLUX LoRA key compatibility; one is runtime loading, the other format mismatch." + "reason": "Dynamic LoRA loading with torch.compile and FLUX LoRA key incompatibility are separate issues." }, { "left": "issue:5152", "right": "issue:5981", "accept": false, - "reason": "W\u00fcrstchen alpha bug vs DPMSolverMultistepScheduler bug; different components." + "reason": "W\u00fcrstchen alpha bug vs DPMSolver scheduler bug; no concrete overlap." }, { "left": "issue:6258", "right": "issue:7009", "accept": false, - "reason": "Forward chunking quality degradation in Stable Video Diffusion vs poor results loading a text-to-video model; not the same issue." + "reason": "Forward chunking degrading quality in Stable Video Diffusion is not the same as poor results from a specific text-to-video checkpoint." }, { "left": "issue:8900", "right": "issue:9209", "accept": false, - "reason": "Loading SDXL refiner from_single_file vs HF mirror connectivity failure; unrelated loading vs network problem." + "reason": "Loading SDXL refiner from_single_file vs failing to connect to hf-mirror.com are unrelated." }, { "left": "issue:1530", "right": "issue:5002", "accept": false, - "reason": "Missing VQDiffusion embedding field vs missing Karras sigmas argument on schedulers; different APIs." + "reason": "Missing learned_classifier_free_sampling_embeddings and missing use_karras_sigmas are different API gaps in different schedulers/pipelines." }, { "left": "issue:4414", "right": "issue:9023", "accept": false, - "reason": "Generic sample-with-consistency-model request vs generic sample code failure; too vague and not the same underlying bug." + "reason": "Consistency Model sample request vs generic sample code failure; too broad to be the same bug." }, { "left": "issue:4605", "right": "issue:962", "accept": false, - "reason": "Long prompt weighting inpaint error vs unsupported non-512 inpaint sizes; related to inpainting but not the same defect." - }, - { - "left": "issue:5821", - "right": "issue:7000", - "accept": false, - "reason": "CUDA backward training failure vs PyTorch deprecation warning; not duplicates." + "reason": "Long prompt weighting with an inpaint model error vs inpaint pipelines only supporting 512x512 are different inpaint limitations." } ] }, @@ -73446,7 +73339,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10066", "issue:10198", @@ -73473,7 +73366,6 @@ "issue:4186", "issue:4222", "issue:4249", - "issue:4585", "issue:459", "issue:4768", "issue:5110", @@ -73481,6 +73373,7 @@ "issue:5485", "issue:5605", "issue:5689", + "issue:5821", "issue:5989", "issue:6042", "issue:6055", @@ -73488,7 +73381,7 @@ "issue:6513", "issue:6616", "issue:6686", - "issue:7147", + "issue:7000", "issue:7490", "issue:7798", "issue:8552", @@ -73498,6 +73391,7 @@ "issue:9974" ], "soft_pairs": [ + "issue:5821|issue:7000", "issue:2737|issue:6513", "issue:4222|issue:5605", "issue:5989|issue:7798", @@ -73520,181 +73414,180 @@ "issue:4094|issue:4768", "issue:5485|issue:8552", "issue:7490|issue:9331", - "issue:10066|issue:9974", - "issue:4585|issue:7147" + "issue:10066|issue:9974" ], - "prepared_review_unit_hash": "7b4907acf022e03184f90b7f4121c2affd6f707bca3c11002416990f9e3274f8", + "prepared_review_unit_hash": "8d6779f32c05601def4a185e5d303425b8903681d6a5000663b3d6c0dc473079", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33868, - "estimated_input_tokens": 8467, - "estimated_eval_tokens": 17190 + "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 mostly heterogeneous: the soft pairs share broad keywords (Flux, pipeline, scheduler, import/error) but describe different bugs, features, or model/version-specific issues. I would not merge any of the candidate pairs.", - "confidence": 0.92, - "canonical_issue_reason": "No true duplicate center stands out; if one issue must represent the cluster, issue:11489 is the most concrete open bug report, but it is only a stand-in and not a duplicate of the others.", + "summary": "This cluster is largely heterogeneous: it mixes unrelated bugs, feature requests, and support questions across different pipelines and versions. None of the soft-edge pairs look like true duplicates of the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No issue cleanly represents the whole set because the cluster is not cohesive. If one must be chosen, issue 11489 is the most concrete, actionable bug report (a specific Flux LoRA training failure) rather than a broad support question or a generic error report.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11489 is the most actionable single issue in the set because it describes a specific Flux training failure with a concrete script and error context, even though the cluster itself is not actually one bug.", + "best_issue_reason": "Issue 11489 is the best single triage candidate: it describes a specific, reproducible training error with a clear context. The rest are too mixed in scope to serve as a strong canonical representative.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5821", + "right": "issue:7000", + "accept": false, + "reason": "Different problems: CUDA/backward training failure vs a PyTorch deprecation warning." + }, { "left": "issue:2737", "right": "issue:6513", "accept": false, - "reason": "Different requests: CLIP guidance for a scheduler vs missing support for a specific T2IAdapter model." + "reason": "Both are feature requests, but for different capabilities: CLIP guidance vs T2IAdapter model support." }, { "left": "issue:4222", "right": "issue:5605", "accept": false, - "reason": "Unrelated training topics: low-resolution LDM dataset training vs per-image captions for SDXL dreambooth." + "reason": "Low-resolution dataset training question is unrelated to per-image caption support." }, { "left": "issue:5989", "right": "issue:7798", "accept": false, - "reason": "Different components and failures: safetensors.torch bug vs PixArtAlphaPipeline bug." + "reason": "Unrelated errors in different components: safetensors serialization vs PixArtAlphaPipeline bug." }, { "left": "issue:6042", "right": "issue:8790", "accept": false, - "reason": "An example request for SDXL-turbo distillation is not the same as SDXL TensorRT + IP Adapter support." + "reason": "Different topics: SDXL-turbo distillation example vs SDXL TensorRT/IP-Adapter integration." }, { "left": "issue:11489", "right": "issue:11661", "accept": false, - "reason": "Both mention Flux, but they are different code paths and bugs: training a Flux LoRA vs args.max_train_steps handling in flux-control." + "reason": "Both mention Flux training, but the concrete failures differ and are not the same code-path bug." }, { "left": "issue:10198", "right": "issue:9516", "accept": false, - "reason": "Weight mismatch in Flux.1-dev is not the same as failing to pass joint_attention_kwargs to FLUX transformers." + "reason": "Weight mismatch is not the same as missing joint_attention_kwargs propagation." }, { "left": "issue:1909", "right": "issue:2098", "accept": false, - "reason": "Distinct API issues: scheduler generator handling vs torch.randn argument validation." + "reason": "Generator API mismatch is unrelated to the randn argument error." }, { "left": "issue:4186", "right": "issue:6686", "accept": false, - "reason": "SDXL inpaint/refiner behavior is unrelated to Dynamo compile/save-load performance regression." + "reason": "Inpaint/refiner malfunction is unrelated to Dynamo save/load performance regression." }, { "left": "issue:6313", "right": "issue:6616", "accept": false, - "reason": "Different feature work: Null-Text Inversion pipeline vs classifier guidance implementation." + "reason": "Different requested features: null-text inversion pipeline vs classifier-guidance implementation." }, { "left": "issue:1709", "right": "issue:6055", "accept": false, - "reason": "ONNX tensor astype error and an accelerate issue are different failure modes with no shared code path." + "reason": "ONNX Tensor.astype error is unrelated to an accelerate issue." }, { "left": "issue:3624", "right": "issue:5110", "accept": false, - "reason": "getattr type error is unrelated to Hugging Face repo-id validation." + "reason": "AttributeError from getattr is different from HF repo-id validation failure." }, { "left": "issue:1919", "right": "issue:5120", "accept": false, - "reason": "Missing datasets dependency in dreambooth examples is not the same as the prior-preservation regression." + "reason": "Missing dependency in dreambooth docs is not the same as a prior-preservation training bug." }, { "left": "issue:10650", "right": "issue:12995", "accept": false, - "reason": "A Lumina reshape failure and a Cosmos-Predict2.5 usage question are unrelated." + "reason": "Lumina shape invalid error is unrelated to Cosmos-Predict2.5 pipeline behavior." }, { "left": "issue:11169", "right": "issue:12645", "accept": false, - "reason": "Binary incompatibility on import is a different problem from Qwen-Image inference slowness." + "reason": "Binary incompatibility import failure is unrelated to Qwen-Image speed concerns." }, { "left": "issue:12126", "right": "issue:12565", "accept": false, - "reason": "Different Wan versions and different symptoms: cache_context AttributeError vs a generic Wan2.1 i2v running issue." + "reason": "Both are Wan issues, but different versions and different failures; not the same concrete bug." }, { "left": "issue:1444", "right": "issue:305", "accept": false, - "reason": "Both are import-related, but one is a specific missing safety checker and the other is a broad ImportError from diffusers." + "reason": "Missing StableDiffusionSafetyChecker import is not the same as the generic diffusers import error." }, { "left": "issue:1922", "right": "issue:5689", "accept": false, - "reason": "Undefined notebook helper and DPM++ residual noise are unrelated bugs." + "reason": "Undefined notebook helper is unrelated to DPM++ residual noise in SDXL." }, { "left": "issue:2838", "right": "issue:459", "accept": false, - "reason": "ControlNet pipeline behavior and an Incremental Diffusion proposal are not the same change." + "reason": "ControlNet pipeline behavior request is unrelated to incremental diffusion." }, { "left": "issue:3057", "right": "issue:4249", "accept": false, - "reason": "Conversion-script import failure and StableDiffusionUpscalePipeline prompt_embeds validation are separate issues." + "reason": "Conversion-script import failure is unrelated to check_inputs prompt_embeds validation." }, { "left": "issue:4094", "right": "issue:4768", "accept": false, - "reason": "A training-script feature request and checkpoint-saving support request are related only broadly by T2I adapters, not by the same bug/change." + "reason": "Adding a T2I adapter training script is not the same as saving multiple adapters in one checkpoint." }, { "left": "issue:5485", "right": "issue:8552", "accept": false, - "reason": "ControlNet inference slowness and a TextToVideoZero segfault are clearly different problems." + "reason": "Batch inference slowness is unrelated to a TextToVideoZeroPipeline segfault." }, { "left": "issue:7490", "right": "issue:9331", "accept": false, - "reason": "A generic backward problem is not the same as a specific FlowMatchEulerDiscreteScheduler index_for_timestep bug." + "reason": "Generic backward problem is unrelated to FlowMatchEulerDiscreteScheduler index_for_timestep." }, { "left": "issue:10066", "right": "issue:9974", "accept": false, - "reason": "self.attn unpacking error and controlnet_sd3 expected-parameters mismatch affect different model paths." - }, - { - "left": "issue:4585", - "right": "issue:7147", - "accept": false, - "reason": "Documentation inconsistency for MultiControlNet is unrelated to a StableCascadeDecoderPipeline import error." + "reason": "Different bugs: attention unpacking error vs missing expected parameters in controlnet_sd3." } ] }, @@ -73716,7 +73609,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10111", "issue:10147", @@ -73743,6 +73636,7 @@ "issue:3717", "issue:4528", "issue:4557", + "issue:4585", "issue:4972", "issue:4977", "issue:5034", @@ -73753,11 +73647,10 @@ "issue:5442", "issue:5763", "issue:5875", - "issue:6094", - "issue:6176", "issue:6548", "issue:6839", "issue:7133", + "issue:7147", "issue:720", "issue:7243", "issue:835", @@ -73768,6 +73661,7 @@ "issue:9846" ], "soft_pairs": [ + "issue:4585|issue:7147", "issue:4977|issue:5034", "issue:1055|issue:4557", "issue:4528|issue:5763", @@ -73790,181 +73684,180 @@ "issue:4972|issue:720", "issue:1572|issue:2799", "issue:5037|issue:5432", - "issue:10147|issue:8801", - "issue:6094|issue:6176" + "issue:10147|issue:8801" ], - "prepared_review_unit_hash": "83b49c5793f03cdf1ebf41510facc6a5c496f7673a0fd2a3ee9eb6bda0cc2159", + "prepared_review_unit_hash": "3e1e7b4b33cd46eb79c4d6c27810457b17a03f3fd8329c7675f5359d40e0c3d8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33858, - "estimated_input_tokens": 8465, - "estimated_eval_tokens": 17186 + "serialized_chars": 33871, + "estimated_input_tokens": 8468, + "estimated_eval_tokens": 17192 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No soft pair looks like a true duplicate: most are only loosely related by subsystem (LoRA, pipelines, ONNX, training) but describe different failures or feature requests. The only mildly adjacent pairs are still distinct enough to reject.", - "confidence": 0.86, - "canonical_issue_reason": "issue:10111 is the broadest umbrella title, but it is still too vague to serve as a real duplicate anchor; the rest of the set is largely unrelated.", + "summary": "This cluster is highly heterogeneous: most items are unrelated feature requests or distinct bug reports, and none of the soft pairs look like true duplicates of the same concrete issue. The only loose theme is LoRA/loading-related reports, but even those point to different failures and code paths.", + "confidence": 0.92, + "canonical_issue_reason": "issue:11659 is the broadest active issue in the set, but the cluster is not a genuine duplicate group; it only loosely matches the recurring LoRA-loading theme.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10111 is the most general and cluster-like issue among the set, so it is the least-bad representative even though this is not a true duplicate cluster.", + "best_issue_reason": "issue:11659 is the most generic and umbrella-like issue title in the set, so it is the least bad representative if one must be chosen.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4585", + "right": "issue:7147", + "accept": false, + "reason": "Different problems: SDXL MultiControlNet documentation/usage vs missing import for StableCascadeDecoderPipeline." + }, { "left": "issue:4977", "right": "issue:5034", "accept": false, - "reason": "One is about checkpoint directory handling in an example script; the other is about progress-bar display during checkpoint loading. Different bugs and code paths." + "reason": "Both mention checkpoints, but one is about distributed checkpoint directories and the other about progress bar display during loading." }, { "left": "issue:1055", "right": "issue:4557", "accept": false, - "reason": "Missing pipeline class availability vs an AttributeError from `super().__getattr__`; no shared concrete failure." + "reason": "Different failures: missing LatentDiffusionPipeline vs AttributeError on `super().__getattr__`." }, { "left": "issue:4528", "right": "issue:5763", "accept": false, - "reason": "LoRA quality issues are unrelated to `save_pretrained` failing to write safetensors." + "reason": "LoRA quality/output issue vs `save_pretrained` not writing safetensors; different code paths." }, { "left": "issue:11659", "right": "issue:13162", "accept": false, - "reason": "Both involve LoRA, but one is a generic load failure and the other is explicit Flux.2-klein-4b support; not the same bug/change." + "reason": "Both are LoRA-related, but one is a generic load failure and the other is a model-specific support request for Flux.2-klein-4b." }, { "left": "issue:5046", "right": "issue:7243", "accept": false, - "reason": "Two different pipeline/model introduction requests; no shared code-path defect." + "reason": "Different pipeline proposals: DragonDiffusion vs ResAdapter; not the same bug or change." }, { "left": "issue:5395", "right": "issue:9090", "accept": false, - "reason": "PEFT/LoRA combination bug vs scheduler timestep repetition; completely different problems." + "reason": "LoRA combination/PEFT bug vs scheduler timestep repetition bug; unrelated failures." }, { "left": "issue:1574", "right": "issue:3717", "accept": false, - "reason": "Both mention OOM, but one is bare-metal Dreambooth training on 8GB GPU and the other is multi-GPU 3090Ti usage; distinct scenarios and fixes." + "reason": "Different resource issues in different contexts: bare-metal 8GB Dreambooth training vs multi-GPU OOM on 3090Ti." }, { "left": "issue:11160", "right": "issue:12097", "accept": false, - "reason": "WAN inference inconsistency vs WAN2.2 VRAM OOM at the end; different symptoms and likely different root causes." + "reason": "Different Wan versions and different symptoms: inference inconsistency vs VRAM OOM." }, { "left": "issue:10111", "right": "issue:9686", "accept": false, - "reason": "FLUX pipeline bugs vs SD3 ControlNet pooled projections bug; different models and code paths." + "reason": "FLUX pipeline bugs vs SD3 ControlNet pooled projection bug; different subsystems and symptoms." }, { "left": "issue:10382", "right": "issue:7133", "accept": false, - "reason": "VAE encoder return-type AttributeError vs SDXL text-encoder size mismatch when resuming; not the same defect." + "reason": "VAE encoder return-type AttributeError vs SDXL Dreambooth LoRA text-encoder size mismatch; not the same bug." }, { "left": "issue:1083", "right": "issue:835", "accept": false, - "reason": "FP16 ONNX incorrect output vs Flax `numpy_to_pil` failure; unrelated conversion/runtime issues." + "reason": "FP16 ONNX output correctness vs flax pipeline `numpy_to_pil` failure; unrelated." }, { "left": "issue:10952", "right": "issue:11732", "accept": false, - "reason": "One is an adapter-name mismatch in LoRA loading; the other is an unpacking regression in `load_lora_weights`. Similar area, different bugs." + "reason": "Both are LoRA load errors, but the adapter-name mismatch and tuple-unpack error come from different failure modes." }, { "left": "issue:1158", "right": "issue:2480", "accept": false, - "reason": "Pytest test interference vs missing `unet` folder in a DreamBooth checkpoint directory; unrelated." + "reason": "Test interference in `test_config.py` vs Dreambooth checkpoint folder layout; unrelated." }, { "left": "issue:1205", "right": "issue:3045", "accept": false, - "reason": "ONNX conversion of a Stable Diffusion model vs converting LoRA safetensors to Diffusers; related tooling, but not the same issue." + "reason": "Different conversion tasks: SD model to ONNX vs LoRA safetensors to diffusers." }, { "left": "issue:1445", "right": "issue:5875", "accept": false, - "reason": "Different ONNX pipeline errors in different pipelines; no concrete shared fix." + "reason": "Both are ONNX-related, but they describe different pipeline errors and different conversion scenarios." }, { "left": "issue:2288", "right": "issue:3065", "accept": false, - "reason": "Training-script request for InstructPix2Pix vs adding text-encoder LoRA tuning to DreamBooth; feature requests, not duplicates." + "reason": "Training-script implementation request vs adding a LoRA tuning option; separate feature requests." }, { "left": "issue:3391", "right": "issue:6548", "accept": false, - "reason": "Overexposure in DeepFloyd SR with PIL input vs RGBA image being mistaken for latents in img2img; both image-handling issues but not the same bug." + "reason": "Different image-processing bugs: overexposure in DeepFloyd SR vs RGBA being mistaken for latents in img2img." }, { "left": "issue:5442", "right": "issue:9387", "accept": false, - "reason": "Two different pipeline feature/issue proposals with no shared concrete code-path problem." + "reason": "Distinct pipeline features: ScaleCrafter vs MimicMotion." }, { "left": "issue:6839", "right": "issue:9846", "accept": false, - "reason": "Both ask for `from_single_file` support, but one is StableVideoDiffusion and the other is FluxControlNetModel; different targets and changes." + "reason": "Different missing feature requests: from_single_file for StableVideoDiffusion vs FluxControlNetModel." }, { "left": "issue:4972", "right": "issue:720", "accept": false, - "reason": "Example code failure in Wuerstchen vs traced UNet dtype mismatch from docs; unrelated." + "reason": "Example-code failure in Wuerstchen vs traced UNet dtype mismatch; different issues." }, { "left": "issue:1572", "right": "issue:2799", "accept": false, - "reason": "Pipeline incompatibility for img2img/inpainting vs explicit checkpoint/pipeline mismatch error handling; different problem statements." + "reason": "One is a pipeline capability bug for img2img/inpainting, the other is a checkpoint-vs-pipeline mismatch guard." }, { "left": "issue:5037", "right": "issue:5432", "accept": false, - "reason": "Second validation-image argument error vs blank validation images; both involve validation images, but the failures are different." + "reason": "Second validation image argument error vs blank validation images; related area but different concrete bugs." }, { "left": "issue:10147", "right": "issue:8801", "accept": false, - "reason": "Support requests for different models/adapters (MV-Adapter vs Kolors); not duplicates." - }, - { - "left": "issue:6094", - "right": "issue:6176", - "accept": false, - "reason": "TextToVideoZero pipeline breakage after an update vs LoRA-weight loading after DreamBooth training; unrelated failures." + "reason": "Different model support requests: MV-Adapter multi-view generation vs Kolors support." } ] }, @@ -73986,17 +73879,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10107", "issue:10749", "issue:10950", "issue:10962", "issue:11010", - "issue:11022", "issue:11642", "issue:12574", - "issue:13203", "issue:1742", "issue:1823", "issue:2221", @@ -74022,8 +73913,10 @@ "issue:579", "issue:5989", "issue:6087", + "issue:6094", "issue:6142", "issue:6164", + "issue:6176", "issue:6517", "issue:7535", "issue:785", @@ -74037,6 +73930,7 @@ "issue:9979" ], "soft_pairs": [ + "issue:6094|issue:6176", "issue:6517|issue:9034", "issue:5112|issue:8930", "issue:3765|issue:6087", @@ -74059,188 +73953,190 @@ "issue:4213|issue:8752", "issue:10107|issue:8557", "issue:10950|issue:8469", - "issue:9309|issue:9979", - "issue:11022|issue:13203" + "issue:9309|issue:9979" ], - "prepared_review_unit_hash": "277b6a0759c84a3f77a3ae29c6ff913ae13f5c43dc07f0d03b325a01cace1b0d", + "prepared_review_unit_hash": "b387869dd2c746764aa5aa6ccbf505e7290bc0b6bb94a35f1a5ded313dcd6446", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33660, - "estimated_input_tokens": 8415, - "estimated_eval_tokens": 17086 + "serialized_chars": 33676, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set is mostly a collection of unrelated bug/support issues; none of the soft-edge pairs look like true duplicates of the same underlying change or failure mode. I would use issue 12574 as the best representative issue because it is a concrete, well-scoped bug report with a clear failing pipeline/code path.", - "confidence": 0.36, - "canonical_issue_reason": "issue:12574 is the clearest concrete bug report in the set: it names the exact pipeline, the missing control-argument handling, and the underlying VACE transformer path.", + "summary": "Mostly unrelated issue set spanning docs, training, dependency, and many distinct pipeline bugs. The only plausible duplicate pair is the two Flux ControlNet reports; the rest should stay separate.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 9979 is the most concrete and actionable bug report in the only plausible duplicate subgroup, with an explicit channels error and clearer repro value.", "canonical_pr_reason": null, - "best_issue_reason": "issue:12574 has the strongest combination of specificity, actionable root-cause description, and discussion activity, making it the best issue anchor here.", + "best_issue_reason": "Issue 9979 is the best anchor for deduping within this cluster because it names the concrete Flux ControlNet failure mode, while the broader set has no single shared root cause.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6094", + "right": "issue:6176", + "accept": false, + "reason": "Different pipelines and failures: TextToVideoZero regression after a version update vs LoRA weight loading after DreamBooth training." + }, { "left": "issue:6517", "right": "issue:9034", "accept": false, - "reason": "Both are import/loading-related, but one is a pipeline import traceback and the other is a dependency requirement complaint; different failure modes and not the same bug." + "reason": "One is an import traceback for an SDXL ControlNet module; the other is an optional dependency requirement for AutoPipelineForText2Image." }, { "left": "issue:5112", "right": "issue:8930", "accept": false, - "reason": "Both mention ControlNet/SDXL image pipelines, but one is a tensor shape/type error and the other is pose-conditioning quality; not the same concrete defect." + "reason": "Different bug shapes: a runtime tensor shape/type error vs a control-image adherence quality problem." }, { "left": "issue:3765", "right": "issue:6087", "accept": false, - "reason": "Training-image stacking effects in ControlNet is unrelated to LoRA config persistence/lora_alpha inference mismatch." + "reason": "Training image stacking effects in ControlNet is unrelated to saving/loading LoRA config and wrong lora_alpha." }, { "left": "issue:10749", "right": "issue:11010", "accept": false, - "reason": "Lumina2 GGUF support and Chroma/Flux architecture support are different feature requests for different models." + "reason": "Separate feature requests for different models and capabilities: GGUF support in Lumina2 vs architecture support for Chroma/Flux." }, { "left": "issue:1823", "right": "issue:3622", "accept": false, - "reason": "Swapped comments in depth2img and a tutorial import error are unrelated documentation/code issues." + "reason": "A comments-swapped docs/content issue is unrelated to a tutorial import error." }, { "left": "issue:2228", "right": "issue:785", "accept": false, - "reason": "GPU placement/loading failure in StableDiffusionPipeline is not the same as PNDMScheduler performance cost." + "reason": "Loading the pipeline onto GPU and PNDMScheduler runtime cost are different problems." }, { "left": "issue:228", "right": "issue:3622", "accept": false, - "reason": "A broken release download link and a tutorial import error are unrelated." + "reason": "Broken release link and tutorial import failure are unrelated." }, { "left": "issue:3624", "right": "issue:6142", "accept": false, - "reason": "Both are NameError/TypeError-style runtime failures, but they point to different code paths and different missing symbols/argument handling." + "reason": "Different exceptions in different code paths: getattr TypeError vs missing start_training NameError." }, { "left": "issue:3698", "right": "issue:4680", "accept": false, - "reason": "Model conversion to diffusers and SDXL inpainting fine-tuning are different tasks, not the same underlying bug or change." + "reason": "Model conversion request vs fine-tuning SDXL inpainting discussion; not the same bug or change." }, { "left": "issue:4436", "right": "issue:5989", "accept": false, - "reason": "CivitAI safetensors conversion with VAE and a safetensors.torch bug are different layers and likely different root causes." + "reason": "Converting CIVITAI weights to diffusers is unrelated to a safetensors.torch bug report." }, { "left": "issue:4752", "right": "issue:7535", "accept": false, - "reason": "The SDXL pipeline dtype mismatch is a runtime bug, while the type-hint issue is a typing/API annotation problem." + "reason": "Runtime half/float mismatch in SDXL is not the same as a type-hint incompatibility issue." }, { "left": "issue:10962", "right": "issue:12574", "accept": false, - "reason": "Both concern pipeline input handling, but one is CogView4 prompt-embed shape validation and the other is WanVideo control-argument handling; different pipelines and failures." + "reason": "Different model pipelines and failure modes: prompt_embed shape handling in CogView4 vs missing control-arg handling in WanVideoToVideo." }, { "left": "issue:11642", "right": "issue:8939", "accept": false, - "reason": "FluxPriorRedux prompt_embeds_scale not taking effect and SD3 tokenizer loading failure are unrelated issues." + "reason": "Prompt scale not taking effect in FluxPriorRedux is unrelated to tokenizer loading/dependency resolution." }, { "left": "issue:3284", "right": "issue:3805", "accept": false, - "reason": "An accelerate failure in a training script and a Colab CalledProcessError are too generic and not the same concrete problem." + "reason": "An accelerate training-script failure is not the same as a Colab CalledProcessError." }, { "left": "issue:5510", "right": "issue:6164", "accept": false, - "reason": "Both mention half/float-type problems, but the affected pipelines and failure contexts differ; not one identical bug." + "reason": "These are different pipeline regressions: SDXL instruct-pix2pix dtype mismatch vs latent output handling in StableDiffusionPipeline." }, { "left": "issue:1742", "right": "issue:2392", "accept": false, - "reason": "Inference-speed variance for identical prompts and prompt_embeds validation in img2img are unrelated." + "reason": "Inference speed variation from prompt list content is unrelated to prompt_embeds validation raising NoneType errors." }, { "left": "issue:2221", "right": "issue:579", "accept": false, - "reason": "A colossalai error and a missing config.json for textual inversion are different setup/loading issues." + "reason": "ColossalAI integration errors and missing config.json in textual inversion are distinct issues." }, { "left": "issue:2646", "right": "issue:5044", "accept": false, - "reason": "Tiled VAE IndexError and Kandinsky 2.2 load failure are unrelated pipeline/model bugs." + "reason": "Tiled VAE IndexError is unrelated to Kandinsky 2.2 loading failure." }, { "left": "issue:4125", "right": "issue:5274", "accept": false, - "reason": "LoRA fine-tuning loss-curve question and a mixed-precision dtype runtime error are not the same code-path problem." + "reason": "A question about LoRA loss curves is not the same as a dtype mismatch training error." }, { "left": "issue:4213", "right": "issue:8752", "accept": false, - "reason": "Both involve from_single_file/offline behavior, but one is about missing accelerate and the other about offline loading; different causes and fixes." + "reason": "Both mention from_single_file, but one is about missing accelerate while the other is about offline server loading; different root causes." }, { "left": "issue:10107", "right": "issue:8557", "accept": false, - "reason": "Gradient checkpointing during validation and SD3 training token limits are unrelated training-example issues." + "reason": "Training example validation checkpointing is unrelated to SD3 token-limit constraints." }, { "left": "issue:10950", "right": "issue:8469", "accept": false, - "reason": "Broken documentation for accelerate inference and corrupt faces from ip-adapter are completely different problems." + "reason": "Documentation brokenness and broken face outputs are not the same underlying bug." }, { "left": "issue:9309", "right": "issue:9979", - "accept": false, - "reason": "Both are Flux ControlNet bugs, but one is about running FluxControlNetPipeline on Flux 1 schnell and the other is an img2img channel mismatch; different concrete failures." - }, - { - "left": "issue:11022", - "right": "issue:13203", - "accept": false, - "reason": "Quanto support for WAN 2.1 transformation and Zimage LoRA support are separate model-support requests." + "accept": true, + "reason": "Both point to Flux ControlNet pipeline failures on Flux 1.x, and the explicit channels error in 9979 plausibly describes the same underlying code-path bug reported more broadly in 9309." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: almost all pairs are clearly different by title/content, and the only plausible duplicate subgroup is the Flux ControlNet pair (9309/9979). The soft verdicts stay conservative overall, and the acceptance of that one pair is appropriately qualified as plausible rather than certain." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -74255,12 +74151,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10672", "issue:10869", "issue:10883", "issue:10967", + "issue:11022", "issue:11035", "issue:11222", "issue:1161", @@ -74282,9 +74179,10 @@ "issue:3974", "issue:4059", "issue:5168", - "issue:5368", + "issue:5567", "issue:5576", "issue:5757", + "issue:5824", "issue:5984", "issue:599", "issue:6054", @@ -74302,10 +74200,10 @@ "issue:9216", "issue:941", "issue:9551", - "issue:9637", "issue:9958" ], "soft_pairs": [ + "issue:11022|issue:13203", "issue:10869|issue:8826", "issue:11035|issue:9958", "issue:11222|issue:11630", @@ -74325,184 +74223,190 @@ "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:12147|issue:13203", + "issue:5567|issue:5824" ], - "prepared_review_unit_hash": "ce915bfd8928b1365c16279eb0032630b69fe5d3b8692346ce8e403e2c71158d", + "prepared_review_unit_hash": "bbdd1cf21aab5eac2f57654fcdcf8434405d71a713e94da7433edc9d735fb848", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33384, - "estimated_input_tokens": 8346, - "estimated_eval_tokens": 16948 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34200, + "estimated_input_tokens": 8550, + "estimated_eval_tokens": 17356 }, "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 bugs and feature requests across different pipelines, schedulers, LoRA loading, training, and model families. All soft edges look like false positives.", - "confidence": 0.98, - "canonical_issue_reason": null, + "summary": "These items are largely unrelated issues spanning different features, models, and error paths. None of the soft-edge pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10869 is the clearest standalone bug report in the set: specific runtime error, concrete symptom, and likely actionable repro. The rest are mostly feature requests or unrelated support/issues.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:10869 is the strongest issue for triage because it describes a precise failure mode ('Tensor.item() cannot be called on meta tensors') rather than a broad request, and it is self-contained.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11022", + "right": "issue:13203", + "accept": false, + "reason": "Different model families and different problems: WAN 2.1 Quanto conversion vs Zimage LoRA support." + }, { "left": "issue:10869", "right": "issue:8826", "accept": false, - "reason": "Meta-tensor .item() failure and empty torch.cat list are unrelated runtime errors." + "reason": "Unrelated runtime errors in different code paths: meta-tensor item() vs empty torch.cat list." }, { "left": "issue:11035", "right": "issue:9958", "accept": false, - "reason": "from_single_file symlink handling and AutoencoderKLTemporalDecoder tiling are different features." + "reason": "Different features: download symlink handling vs AutoencoderKLTemporalDecoder tiling support." }, { "left": "issue:11222", "right": "issue:11630", "accept": false, - "reason": "Both are Wan-related, but one asks for more LoRAs and the other for from_single_file support; not the same change." + "reason": "Both mention WAN, but one is about adding more LoRAs and the other about from_single_file support for a specific transformer model; not the same change." }, { "left": "issue:2780", "right": "issue:756", "accept": false, - "reason": "FP16 unscale error in training is unrelated to the tensor_format deprecation error." + "reason": "Different failures: FP16 gradient unscale in training vs a deprecation tuple / tensor_format error." }, { "left": "issue:6399", "right": "issue:6958", "accept": false, - "reason": "LoRA visibility in UIs and unet_motion_model mid_block projection behavior are different problems." + "reason": "One is about LoRA visibility in UI tools, the other about a motion model config/architecture issue." }, { "left": "issue:852", "right": "issue:941", "accept": false, - "reason": "Both mention MPS, but one is a device_map crash and the other is img2img noise with num_images_per_prompt." + "reason": "Both are MPS-related, but the bugs are distinct: unexpected device_map keyword vs noisy img2img results with num_images_per_prompt." }, { "left": "issue:2107", "right": "issue:3431", "accept": false, - "reason": "Low-resolution black images and ControlNet inpainting quality are different symptoms and likely different causes." + "reason": "Both concern image quality, but one is low-resolution black images and the other is poor inpainting+ControlNet results." }, { "left": "issue:5757", "right": "issue:5984", "accept": false, - "reason": "Checkpoint resume failure and fp16 RAM usage are distinct training-script issues." + "reason": "Different training problems: checkpoint resume errors vs high RAM use from fp16 variant." }, { "left": "issue:5576", "right": "issue:8309", "accept": false, - "reason": "FreeNoise scheduler request and conditional diffusion distillation are separate feature requests." + "reason": "FreeNoise scheduler request and conditional diffusion distillation are unrelated feature requests." }, { "left": "issue:7238", "right": "issue:7661", "accept": false, - "reason": "IP-Adapter masking and animate-diff pipeline compatibility are not the same bug or change." + "reason": "IP-Adapter masking vs an AnimateDiff pipeline integration question; related domain, but not the same underlying bug/change." }, { "left": "issue:10672", "right": "issue:7877", "accept": false, - "reason": "callback_on_step_end support and Attention out_dim are unrelated API requests." + "reason": "Callback support for pipelines and Attention out_dim support are unrelated API requests." }, { "left": "issue:122", "right": "issue:2856", "accept": false, - "reason": "Training import error and model-to-diffusers conversion are unrelated." + "reason": "Different errors in different areas: missing 'exceptions' module during training vs failure converting an SD model to diffusers." }, { "left": "issue:2548", "right": "issue:3296", "accept": false, - "reason": "Both involve saving/training, but they affect different scripts and failure modes." + "reason": "Both involve training/checkpoint saving, but they affect different scripts and conditions, so they are not the same bug." }, { "left": "issue:599", "right": "issue:757", "accept": false, - "reason": "Deepspeed integration and attention splicing are unrelated feature requests." + "reason": "Deepspeed integration request and attention splicing for textual inversion are unrelated enhancements." }, { "left": "issue:6054", "right": "issue:8826", "accept": false, - "reason": "Scheduler torch.from_numpy misuse and empty torch.cat list are different runtime errors." + "reason": "Scheduler timestep conversion bug vs empty-tensor cat error; no shared code-path evidence." }, { "left": "issue:10883", "right": "issue:9216", "accept": false, - "reason": "Marigold update/docs and a custom multi-model pipeline are unrelated." + "reason": "Marigold update/documentation vs a pipeline for combining many models; unrelated changes." }, { "left": "issue:10967", "right": "issue:9551", "accept": false, - "reason": "Different model integrations; same broad area, but not the same concrete change." + "reason": "Different model integrations entirely: LaVie/Cinemo vs Flux ControlNet usage question." }, { "left": "issue:2676", "right": "issue:4059", "accept": false, - "reason": "Scheduler-name question and ControlNet Reference pipeline bug/question are unrelated." + "reason": "Scheduler naming question and reference-pipeline bug/question are not the same issue." }, { "left": "issue:3087", "right": "issue:3974", "accept": false, - "reason": "LyCORIS model support and .safetensors support for ControlNet inpaint are different issues." - }, - { - "left": "issue:5368", - "right": "issue:9637", - "accept": false, - "reason": "Both are attention dtype/mask bugs, but they occur in different backends and code paths." + "reason": "LoRA model support and safetensors support in a ControlNet inpaint pipeline are separate concerns." }, { "left": "issue:1161", "right": "issue:1798", "accept": false, - "reason": "Flax-to-PyTorch conversion and v_prediction support in Flax training are distinct topics." + "reason": "Model conversion from Flax to PyTorch vs a training-script v_prediction limitation are unrelated." }, { "left": "issue:5168", "right": "issue:7370", "accept": false, - "reason": "ControlNet-XS support and OpenSora STDiT support are unrelated model-integration requests." + "reason": "ControlNet-XS support and OpenSora STDiT support are different model integrations." }, { "left": "issue:1451", "right": "issue:1896", "accept": false, - "reason": "FlaxStableDiffusionPipeline example failure and CLIP-guided size error are unrelated bugs." + "reason": "Different pipeline failures with different symptoms and repros." }, { "left": "issue:12147", "right": "issue:13203", "accept": false, - "reason": "Different LoRA support problems for different model families; not the same underlying issue." + "reason": "Both are LoRA-related, but for different model families and different failure modes." + }, + { + "left": "issue:5567", + "right": "issue:5824", + "accept": false, + "reason": "Accelerator overwriting unet.config and an SDXL add_time_ids default issue are unrelated bugs." } ] }, @@ -74524,23 +74428,24 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10057", + "issue:10066", "issue:10120", "issue:1083", "issue:1106", - "issue:1109", + "issue:1158", "issue:11859", "issue:11978", "issue:1205", "issue:12412", - "issue:1556", "issue:1811", "issue:2514", "issue:2822", "issue:3405", "issue:3683", + "issue:3886", "issue:3891", "issue:4149", "issue:4186", @@ -74552,11 +74457,9 @@ "issue:5128", "issue:5258", "issue:542", - "issue:5567", "issue:5595", "issue:5628", "issue:5646", - "issue:5824", "issue:5989", "issue:6347", "issue:6368", @@ -74568,6 +74471,7 @@ "issue:8667", "issue:8873", "issue:8970", + "issue:9471", "issue:9645", "issue:9664", "issue:9763", @@ -74576,7 +74480,6 @@ "issue:9957" ], "soft_pairs": [ - "issue:5567|issue:5824", "issue:1083|issue:1205", "issue:1106|issue:542", "issue:11859|issue:9957", @@ -74586,7 +74489,6 @@ "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", @@ -74599,180 +74501,182 @@ "issue:4773|issue:5128", "issue:6368|issue:9793", "issue:2822|issue:4269", - "issue:5628|issue:5646" + "issue:5628|issue:5646", + "issue:1158|issue:3886", + "issue:10066|issue:9471" ], - "prepared_review_unit_hash": "812310177adcdb845fbdc99efa7a6e99fc8e6961ec0f4d305921ab1c387940d7", + "prepared_review_unit_hash": "b72a88f4bf97121ca604bcc2c622bca8123994fd7d8e918ef9d552760e1b4957", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33684, - "estimated_input_tokens": 8421, - "estimated_eval_tokens": 17098 + "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": "All candidates appear to be distinct issues rather than true duplicates. The cluster is noisy: many items mention similar subsystems (Flux/SDXL/MPS/schedulers/loading), but the concrete failure modes and targets differ.", + "summary": "These items are mostly unrelated issues spanning different models, schedulers, loaders, and training paths. The soft-similarity pairs share broad keywords only; none look like the same underlying bug or change.", "confidence": 0.93, - "canonical_issue_reason": null, + "canonical_issue_reason": "No canonical issue: the set does not form one duplicate cluster, and the paired items are distinct reports with different failure modes or feature requests.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "No single best issue for deduplication: there is no clear representative anchor because the issues are independent rather than variants of one bug.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:5567", - "right": "issue:5824", - "accept": false, - "reason": "Different bugs: one is accelerator.prepare overwriting unet.config, the other is an SDXL time-ids default value problem." - }, { "left": "issue:1083", "right": "issue:1205", "accept": false, - "reason": "Both involve ONNX, but one reports incorrect FP16 ONNX output while the other is about converting Stable Diffusion to ONNX." + "reason": "Both mention ONNX, but one is incorrect FP16 output and the other is a general conversion request; different problems." }, { "left": "issue:1106", "right": "issue:542", "accept": false, - "reason": "Unrelated code paths: repeated UNet calls in PNDM vs a UNet ONNX export issue." + "reason": "PNDM repeated UNet calls vs UNet export to ONNX are unrelated code paths and symptoms." }, { "left": "issue:11859", "right": "issue:9957", "accept": false, - "reason": "Both are scheduler ideas, but they are different scheduler implementations and not the same change." + "reason": "Both are scheduler feature/bug reports, but STORK and BDIA-DDIM are different schedulers with different issues." }, { "left": "issue:1811", "right": "issue:4665", "accept": false, - "reason": "Related to weight-file selection, but one is about downloading both bin and safetensors, the other about use_safetensors failing on Windows with alternate bin files." + "reason": "Both concern weight-file selection, but one is duplicate downloading of bin/safetensors and the other is a Windows-specific use_safetensors failure." }, { "left": "issue:3405", "right": "issue:3683", "accept": false, - "reason": "Training bug vs serialization feature request; not the same underlying issue." + "reason": "ControlNet training bug vs Multi-ControlNet save_pretrained support are unrelated." }, { "left": "issue:5989", "right": "issue:6899", "accept": false, - "reason": "One is a safetensors.torch bug, the other is a converter-script bug; different failure points." + "reason": "safetensors.torch bug and convert_original_stable_diffusion_to_diffusers.py bug are different components and failure modes." }, { "left": "issue:9645", "right": "issue:9942", "accept": false, - "reason": "Import error for a loader mixin vs pip installation/versioning failure; distinct problems." + "reason": "ImportError for a missing mixin and a pip installation failure are unrelated." }, { "left": "issue:5258", "right": "issue:7931", "accept": false, - "reason": "Different pipeline features: SDXL ControlNet inpaint with refiner vs IP-Adapter image_embeds support." + "reason": "Same pipeline family, but one is refiner compatibility and the other is IP-Adapter embed handling; not the same concrete bug." }, { "left": "issue:10120", "right": "issue:6536", "accept": false, - "reason": "Both are memory-related, but one is DreamBooth/SD3 memory consumption and the other is UNet3DConditionModel OOM during fine-tuning." - }, - { - "left": "issue:1109", - "right": "issue:1556", - "accept": false, - "reason": "CPU utilization complaint vs black images with NSFW warning; unrelated symptoms and code paths." + "reason": "Both involve OOM, but DreamBooth+SD3 memory use and UNet3DConditionModel fine-tuning are different scenarios." }, { "left": "issue:11978", "right": "issue:12412", "accept": false, - "reason": "Different model-support requests: Bria 3.2 pipeline vs HunyuanImage-3.0 support." + "reason": "Both are model support requests, but Bria 3.2 and HunyuanImage-3.0 are different additions." }, { "left": "issue:8526", "right": "issue:8970", "accept": false, - "reason": "Both mention MPS, but one is ineffective joint_attention_kwargs scale on SD3 and the other is black images in Kolors." + "reason": "Both mention MPS, but ineffective scale handling and black-image output are different bugs." }, { "left": "issue:4186", "right": "issue:4530", "accept": false, - "reason": "Both involve SDXL refiner, but one is inpaint-with-refiner failure and the other is artifacting in generated images." + "reason": "Inpaint-with-refiner failure and visual artifacts from the refiner are distinct issues." }, { "left": "issue:2514", "right": "issue:4217", "accept": false, - "reason": "Both concern loading speed, but one is cached pipeline load time and the other is safetensors load time." + "reason": "Both are load-time complaints, but cached pipeline loading and safetensors loading slowdown are not the same issue." }, { "left": "issue:3891", "right": "issue:6347", "accept": false, - "reason": "Different model additions: Tortoise TTS pipeline vs GlueGen." + "reason": "Two separate pipeline feature requests with no shared bug or implementation target." }, { "left": "issue:4149", "right": "issue:8667", "accept": false, - "reason": "Different tensor-mismatch triggers and models: SemanticStableDiffusion batch handling vs SD3ControlNet non-power-of-two image sizes." + "reason": "Tensor mismatch in SemanticStableDiffusionPipeline vs SD3ControlNetModel image-size mismatch are different code paths." }, { "left": "issue:8873", "right": "issue:9664", "accept": false, - "reason": "Performance complaint with xformers on A100 vs a training subprocess failure; no shared bug." + "reason": "xformers performance regression and a training subprocess failure are unrelated." }, { "left": "issue:5595", "right": "issue:7686", "accept": false, - "reason": "Different validation errors: image size divisibility vs missing cross_attention_dim for a UNet block." + "reason": "One is an input-dimension validation error, the other is a UNet cross-attention configuration error." }, { "left": "issue:10057", "right": "issue:9763", "accept": false, - "reason": "Both mention Flux and token limits, but one is a from_single_file loading/token issue while the other is training truncation beyond 77 tokens." + "reason": "Both reference Flux/token handling, but one is from_single_file token loading and the other is training-time truncation beyond 77 tokens." }, { "left": "issue:4773", "right": "issue:5128", "accept": false, - "reason": "Different loading scenarios: CivitAI LoRA loading vs local .safetensors loading via XLPipeline.from_single_file." + "reason": "Both are loading-related, but CivitAI LoRA loading and XLPipeline.from_single_file safetensors loading are different failures." }, { "left": "issue:6368", "right": "issue:9793", "accept": false, - "reason": "Checkpoint/lora alpha support error vs progress bar update problem; unrelated." + "reason": "Checkpoint/lora alpha support error and progress bar update failure are unrelated." }, { "left": "issue:2822", "right": "issue:4269", "accept": false, - "reason": "Training convergence issue vs a TypeError in check_inputs; not the same bug." + "reason": "Training convergence lag and a TypeError in check_inputs are not the same bug." }, { "left": "issue:5628", "right": "issue:5646", "accept": false, - "reason": "Both scheduler-related, but they describe different schedulers and different failure modes." + "reason": "Both scheduler-related, but LMS Karras denoising offset and DPM/UniPC stability issues are different problems." + }, + { + "left": "issue:1158", + "right": "issue:3886", + "accept": false, + "reason": "Test interference and distributed training collective timeout are unrelated." + }, + { + "left": "issue:10066", + "right": "issue:9471", + "accept": false, + "reason": "An attn unpacking ValueError and a resource-type inference error on file extensions are different loader failures." } ] }, @@ -74794,9 +74698,8 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10066", "issue:10315", "issue:1055", "issue:10653", @@ -74805,10 +74708,12 @@ "issue:10749", "issue:10757", "issue:10782", + "issue:10887", "issue:10962", "issue:11005", - "issue:1158", + "issue:11022", "issue:11779", + "issue:11901", "issue:12299", "issue:1895", "issue:2026", @@ -74816,7 +74721,6 @@ "issue:3761", "issue:3805", "issue:3816", - "issue:3886", "issue:4314", "issue:4492", "issue:4840", @@ -74837,16 +74741,14 @@ "issue:9052", "issue:9142", "issue:9181", + "issue:9241", "issue:9422", - "issue:9471", "issue:962", "issue:9704", "issue:9850", "issue:9867" ], "soft_pairs": [ - "issue:1158|issue:3886", - "issue:10066|issue:9471", "issue:10653|issue:10659", "issue:5002|issue:5907", "issue:1895|issue:4492", @@ -74868,180 +74770,182 @@ "issue:1055|issue:3816", "issue:10674|issue:10749", "issue:10757|issue:7147", - "issue:10782|issue:11005" + "issue:10782|issue:11005", + "issue:10887|issue:9241", + "issue:11022|issue:11901" ], - "prepared_review_unit_hash": "a947f8f55feea4732520c119f92b283071c86f474d4c85b0cfe0dcf92ee21aea", + "prepared_review_unit_hash": "f9cc45d24642c393f3f98a14e3714ae6c792ac8b202591c13626822814fdbaec", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33564, - "estimated_input_tokens": 8391, - "estimated_eval_tokens": 17038 + "serialized_chars": 33464, + "estimated_input_tokens": 8366, + "estimated_eval_tokens": 16988 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are mostly unrelated bug reports and feature requests from different pipelines, schedulers, and tooling paths. None of the soft pairs look like the same underlying issue, so all candidate duplicate links should be rejected.", - "confidence": 0.94, - "canonical_issue_reason": "issue:10066 is the most concrete, actionable bug report in the set (specific traceback, clear failure mode), but there is no strong evidence that any other item is a true duplicate of it.", - "canonical_pr_reason": "No pull requests are present in this cluster.", - "best_issue_reason": "issue:10066 is the best representative issue only because it is specific and well-scoped; however, the cluster overall does not form a coherent duplicate set.", - "best_pr_reason": "No pull requests are present, so there is no suitable canonical PR.", + "summary": "This cluster is not a true duplicate set; it mixes many unrelated issues across training, conversion, scheduler APIs, pipeline support, and masking/loading bugs. No soft edge pair is safe to merge.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue is suitable: the items are heterogeneous and do not describe one underlying bug or change.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "No issue is a strong global representative because the cluster is too broad and internally unrelated.", + "best_pr_reason": "No PRs are present in this cluster.", "soft_edge_verdicts": [ - { - "left": "issue:1158", - "right": "issue:3886", - "accept": false, - "reason": "Different failures: test interference vs distributed training collective timeout; not the same bug." - }, - { - "left": "issue:10066", - "right": "issue:9471", - "accept": false, - "reason": "Unpack error in attention code vs file-extension inference error; unrelated code paths." - }, { "left": "issue:10653", "right": "issue:10659", "accept": false, - "reason": "bitsandbytes 8-bit device-move limitation vs poor output quality in ConsisID; different problems." + "reason": "Bitsandbytes CPU offload error for HunyuanVideoTransformer3DModel vs poor ConsisID output quality; different bugs and code paths." }, { "left": "issue:5002", "right": "issue:5907", "accept": false, - "reason": "Both mention scheduler arguments/docs, but one is missing an argument while the other disagrees with docs; not the same concrete bug." + "reason": "Both concern scheduler arguments, but one is missing `use_karras_sigmas` and the other is a `prediction_type` docs/API mismatch in a different scheduler." }, { "left": "issue:1895", "right": "issue:4492", "accept": false, - "reason": "Multi-GPU EMA update issue vs JSON-style lowercase boolean NameError; unrelated." + "reason": "EMA multi-GPU update bug vs `false` NameError in config/script parsing; unrelated." }, { "left": "issue:9142", "right": "issue:9704", "accept": false, - "reason": "Multiple controlnets attribute error vs cuDNN execution-plan error; separate runtime failures." + "reason": "Multiple controlnets loading error vs cuDNN frontend execution-plan failure; distinct failures." }, { "left": "issue:4840", "right": "issue:9052", "accept": false, - "reason": "Checkpoint loading mismatch in FlaxAutoencoderKL vs single-file conversion failing on certain checkpoints; different loaders and symptoms." + "reason": "FlaxAutoencoderKL checkpoint loading bug vs `from_single_file` failing on certain Civit checkpoints; both loading-related but different conversion paths." }, { "left": "issue:5737", "right": "issue:9850", "accept": false, - "reason": "SDXL conversion failure vs gradient checkpointing with frozen model; no shared bug." + "reason": "SDXL conversion failure vs gradient checkpointing with frozen model; unrelated functionality." }, { "left": "issue:2026", "right": "issue:2891", "accept": false, - "reason": "cpu_offload issue vs embeds support/documentation mismatch; different pipeline behaviors." + "reason": "cpu_offload failure in PaintByExample vs docs/support mismatch for embeds in UpscalePipeline; not the same bug." }, { "left": "issue:3761", "right": "issue:4314", "accept": false, - "reason": "Community pipeline loading conflict vs interrupted-download write protection; unrelated filesystem/runtime issues." + "reason": "Community pipelines loading conflict vs interrupted-download write-protection; unrelated." }, { "left": "issue:3805", "right": "issue:5984", "accept": false, - "reason": "Colab subprocess failure vs fp16 RAM usage problem; not the same failure mode." + "reason": "Colab CalledProcessError vs fp16 memory/RAM issue in dreambooth; different symptoms and root causes." }, { "left": "issue:5016", "right": "issue:5984", "accept": false, - "reason": "Text encoder training not working vs RAM blow-up from fp16 variant; different training issues." + "reason": "SDXL LoRA text-encoder training limitation vs fp16 RAM issue; unrelated training problems." }, { "left": "issue:10962", "right": "issue:12299", "accept": false, - "reason": "Prompt-embedding shape issue in Cogview4 vs negative prompt embedding mismatch in SD3; similar theme but different pipelines and bugs." + "reason": "Prompt-embedding shape issue in Cogview4 vs negative-prompt embedding tensor mismatch in SD3; both embedding-related but not the same concrete bug." }, { "left": "issue:5630", "right": "issue:9181", "accept": false, - "reason": "LMS/Karras denoising offset vs ControlNet noise dot artifact; different scheduler/pipeline symptoms." + "reason": "LMS/Karras denoising leftover noise vs a noise dot in ControlNet pipeline; different pipelines and symptoms." }, { "left": "issue:5628", "right": "issue:8792", "accept": false, - "reason": "LMS denoising-end/start offset with Karras sigmas vs image quality degradation migrating from A1111; not the same concrete defect." + "reason": "LMS scheduler offset with Karras sigmas vs general image-quality degradation after migration; too broad and not the same defect." }, { "left": "issue:801", "right": "issue:962", "accept": false, - "reason": "Attention slicing not respected in inpaint/img2img vs inpaint pipelines not supporting non-512 sizes; different functional gaps." + "reason": "Attention slicing behavior in inpaint/img2img vs new inpaint pipelines only supporting 512x512; unrelated pipeline limitations." }, { "left": "issue:9023", "right": "issue:9422", "accept": false, - "reason": "Sample code failure vs NaNs during ControlNet-SDXL training; too broad and not the same bug." + "reason": "Generic sample-code runtime failure vs NaNs during custom ControlNet SDXL training; unrelated." }, { "left": "issue:10315", "right": "issue:8514", "accept": false, - "reason": "CogVideo training error vs EMAModel parallel fine-tuning error; different training stacks and failure causes." + "reason": "CogVideo training error vs EMAModel/InstructP2P parallel fine-tuning issue; different models and failure modes." }, { "left": "issue:11779", "right": "issue:9867", "accept": false, - "reason": "Mask padding bug in Wan VACE vs FluxInpaint overwriting pixels outside mask; both are inpainting-related but distinct defects." + "reason": "Wan VACE mask padding bug vs FluxInpaintPipeline overwriting pixels outside the mask; both mask-related but different code paths and root causes." }, { "left": "issue:6427", "right": "issue:7621", "accept": false, - "reason": "diffusers-to-.ckpt conversion problem vs InstructPix2Pix with cosxl_edit compatibility issue; unrelated conversion vs inference bugs." + "reason": "Model conversion .diffusers<->.ckpt issue vs SDXL InstructPix2Pix cosxl_edit incompatibility; unrelated." }, { "left": "issue:1055", "right": "issue:3816", "accept": false, - "reason": "Missing LatentDiffusionPipeline import availability vs missing CLIPImageProcessor attribute in transformers; different dependency/API issues." + "reason": "Missing `LatentDiffusionPipeline` vs missing `transformers.CLIPImageProcessor`; both import errors but for different symbols and packages." }, { "left": "issue:10674", "right": "issue:10749", "accept": false, - "reason": "Flux GGUF support failure vs request to add GGUF support in Lumina2; one is a bug report, the other a feature request for a different pipeline." + "reason": "Flux GGUF support failure vs Lumina2 GGUF support request; same general theme, but different pipelines/models and not one concrete bug." }, { "left": "issue:10757", "right": "issue:7147", "accept": false, - "reason": "Variable naming cleanup in a converter script vs missing StableCascadeDecoderPipeline import; unrelated." + "reason": "Variable rename in conversion script vs missing `StableCascadeDecoderPipeline` import; unrelated." }, { "left": "issue:10782", "right": "issue:11005", "accept": false, - "reason": "Lumina Image minor issue vs docstring/default discrepancy in wan i2v args; different scopes and code paths." + "reason": "Lumina Image 2.0 minor issue vs WAN pipeline default/docstring discrepancy; unrelated." + }, + { + "left": "issue:10887", + "right": "issue:9241", + "accept": false, + "reason": "Missing `StableDiffusionXLTrainer` import vs XLab LoRA conversion script request; unrelated." + }, + { + "left": "issue:11022", + "right": "issue:11901", + "accept": false, + "reason": "Quanto support for WAN 2.1 transformation vs loading a specific LoRA into a WAN2.1 pipeline; different model-loading/quantization problems." } ] }, @@ -75063,16 +74967,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10887", - "issue:11022", "issue:1117", "issue:11214", "issue:11321", "issue:11833", "issue:11867", - "issue:11901", "issue:12071", "issue:1379", "issue:1440", @@ -75098,25 +74999,26 @@ "issue:337", "issue:3412", "issue:3444", + "issue:3487", + "issue:3730", "issue:3788", "issue:3951", "issue:4057", "issue:4405", "issue:4580", "issue:5026", + "issue:6331", "issue:6548", + "issue:6949", "issue:7119", "issue:713", "issue:7392", "issue:7798", "issue:8887", - "issue:9241", "issue:9320", "issue:938" ], "soft_pairs": [ - "issue:10887|issue:9241", - "issue:11022|issue:11901", "issue:1117|issue:2613", "issue:11214|issue:12071", "issue:11321|issue:7798", @@ -75138,180 +75040,182 @@ "issue:3065|issue:4405", "issue:3176|issue:3951", "issue:3291|issue:7392", - "issue:3444|issue:3788" + "issue:3444|issue:3788", + "issue:3487|issue:6949", + "issue:3730|issue:6331" ], - "prepared_review_unit_hash": "63f69cc433ab9aec4c9b3b337513b4a16b8b78f1713b81a9de23a0be84f89d9a", + "prepared_review_unit_hash": "53ecdb58c29f4505923a7934c80445acf441520c9c837bd204d0e8492fb8828f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33484, - "estimated_input_tokens": 8371, - "estimated_eval_tokens": 16998 + "serialized_chars": 33458, + "estimated_input_tokens": 8365, + "estimated_eval_tokens": 16986 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is highly heterogeneous: the suggested pairs span unrelated bugs, feature requests, docs, and model/pipeline-specific issues. None of the soft pairs look like the same underlying change or defect, so all should be rejected.", - "confidence": 0.92, - "canonical_issue_reason": "Issue 11214 is the most concrete, self-contained bug report in the set (specific runtime TypeError with a clear code path). It is the best representative issue only in the weak sense that the cluster does not form a real duplicate group.", + "summary": "The set is a heterogeneous mix of unrelated bugs, feature requests, docs, and questions. None of the soft pairs look like true duplicates of the same underlying issue, so no canonical item stands out.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated topics and failure modes, so there is no single issue that represents the cluster well.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 11214 is the most suitable single issue to anchor triage because it is open, specific, and actionable; the other items are mostly unrelated or more like feature requests/docs than duplicate bug reports.", + "best_issue_reason": "No single issue is a strong global anchor for this cluster because the entries are not a duplicate set and cover unrelated subsystems and request types.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:10887", - "right": "issue:9241", - "accept": false, - "reason": "Different topics: SDXLTrainer import error vs XLab-to-diffusers LoRA conversion script." - }, - { - "left": "issue:11022", - "right": "issue:11901", - "accept": false, - "reason": "Both mention WAN 2.1, but one is Quanto transformation support and the other is LoRA loading on MPS; different failure modes and code paths." - }, { "left": "issue:1117", "right": "issue:2613", "accept": false, - "reason": "Negative prompts tests vs adding multiple LoRA layers; unrelated scope." + "reason": "Test coverage request for negative prompts vs feature request for multiple LoRA layers; different change scope." }, { "left": "issue:11214", "right": "issue:12071", "accept": false, - "reason": "Different runtime bugs in different models/components: UVit2DModel.forward keyword handling vs Flux Kontext single-block behavior." + "reason": "Different model/code paths: UVit2DModel encoder_hidden_states TypeError vs flux kontext transformer forward behavior change." }, { "left": "issue:11321", "right": "issue:7798", "accept": false, - "reason": "Flux ControlNet README bug is documentation, while PixArtAlphaPipeline bug is model/runtime behavior." + "reason": "README bug for flux controlnet training vs PixArtAlphaPipeline bug; unrelated issues." }, { "left": "issue:11833", "right": "issue:9320", "accept": false, - "reason": "LoRA device placement KeyError is a runtime state bug; train_custom_diffusion save/load is a separate persistence issue." + "reason": "LoRA device KeyError vs custom diffusion save/load bug; distinct model-management failures." }, { "left": "issue:11867", "right": "issue:8887", "accept": false, - "reason": "Question about SD3 control vs SD3 VAE encode bug; not the same defect." + "reason": "A question about control SD3 vs a specific wrong VAE encode training bug; not the same problem." }, { "left": "issue:1379", "right": "issue:3062", "accept": false, - "reason": "Repeated operation in Transformer2DModel vs a docstring question about encoder_hidden_states; one is code behavior, the other docs." + "reason": "Repeated operation in Transformer2DModel vs a docstring correctness question; one is code behavior, the other documentation." }, { "left": "issue:1440", "right": "issue:2614", "accept": false, - "reason": "Deleting cached model vs changing pretrained-model download directory; unrelated utilities." + "reason": "Deleting cached model vs changing pretrained-model download directory; unrelated cache/config topics." }, { "left": "issue:1611", "right": "issue:5026", "accept": false, - "reason": "StableDiffusionMegaPipeline regression vs KeyError 'text_encoder' in 0.21.0; different pipeline breakages." + "reason": "Both are regressions, but they affect different pipelines and error signatures, so they are not the same bug." }, { "left": "issue:1730", "right": "issue:4057", "accept": false, - "reason": "CKPT conversion/webui compatibility vs blurred finetuned inpainting output; different problems." + "reason": "Converted ckpt compatibility problem vs blurred finetuned inpainting output; different symptoms and likely causes." }, { "left": "issue:1805", "right": "issue:938", "accept": false, - "reason": "New scalable diffusion pipeline proposal vs human motion diffusion model proposal; distinct features." + "reason": "General diffusion pipeline request vs text-to-motion model proposal; different feature areas." }, { "left": "issue:1896", "right": "issue:337", "accept": false, - "reason": "CLIP-guided Stable Diffusion size error vs img2img/inpainting issue; different code paths." + "reason": "CLIP-guided Stable Diffusion size/dict error vs img2img/text-guided inpainting problem; different failing code paths." }, { "left": "issue:1985", "right": "issue:2838", "accept": false, - "reason": "Embedding-loading feature request vs ControlNet pipeline behavior question; not the same change." + "reason": "Loading new embeddings vs asking for a ControlNet pipeline variant; unrelated functionality." }, { "left": "issue:1990", "right": "issue:2015", "accept": false, - "reason": "Two separate pipeline proposals (Depth2ImgVariation vs categorical diffusion); unrelated." + "reason": "Two separate pipeline proposals for different tasks; not the same underlying change." }, { "left": "issue:2312", "right": "issue:4580", "accept": false, - "reason": "EMA save hook error in training vs UniPC schedule exception with karras sigmas; unrelated scheduler/training bugs." + "reason": "EMA save-hook error during training vs UniPC scheduler exception with karras sigmas; different components." }, { "left": "issue:2351", "right": "issue:6548", "accept": false, - "reason": "Missing get_velocity in DEISMultistepScheduler vs RGBA image misclassified as latents; different defects." + "reason": "Missing get_velocity on a scheduler vs RGBA latents handling in img2img; separate bugs." }, { "left": "issue:2412", "right": "issue:713", "accept": false, - "reason": "Dreambooth error vs generic training error; too broad and not the same underlying issue." + "reason": "Dreambooth-specific training error vs a generic training error report; too broad and not the same failure." }, { "left": "issue:2689", "right": "issue:7119", "accept": false, - "reason": "Broken image link vs invalid docs link; both are link issues but not the same artifact or fix." + "reason": "Broken image link vs invalid docs link; both documentation issues but not duplicates." }, { "left": "issue:3017", "right": "issue:3412", "accept": false, - "reason": "Distributed inference docs request vs stable diffusion next-steps docs update; separate documentation tasks." + "reason": "Different documentation requests for different topics; not the same doc change." }, { "left": "issue:3065", "right": "issue:4405", "accept": false, - "reason": "DreamBooth LoRA text-encoder tuning vs SDXL textual inversion training script; distinct example scripts and goals." + "reason": "DreamBooth LoRA text-encoder tuning vs SDXL textual inversion training script; different examples and objectives." }, { "left": "issue:3176", "right": "issue:3951", "accept": false, - "reason": "TensorRT demo error vs UniDiffuser NaNs; different subsystems and failure symptoms." + "reason": "TensorRT demo error vs UniDiffuser NaNs; unrelated models and failure modes." }, { "left": "issue:3291", "right": "issue:7392", "accept": false, - "reason": "Deepfloyd aspect ratios vs SDXL multiple aspect ratio training; similar theme but different models and requests." + "reason": "Both mention aspect ratios, but one is about DeepFloyd and the other SDXL training; not the same bug." }, { "left": "issue:3444", "right": "issue:3788", "accept": false, - "reason": "Audio-to-image integration request vs UniControl new pipeline proposal; unrelated feature work." + "reason": "Audio-to-image integration request vs a new controllable generation pipeline proposal; distinct features." + }, + { + "left": "issue:3487", + "right": "issue:6949", + "accept": false, + "reason": "Different scheduler-related generation issues with different symptoms; not one concrete bug." + }, + { + "left": "issue:3730", + "right": "issue:6331", + "accept": false, + "reason": "Wrong timestep in inpainting blending vs SAG for inpainting; related area but different underlying problems." } ] }, @@ -75333,10 +75237,8 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:3487", - "issue:3730", "issue:3765", "issue:3805", "issue:3826", @@ -75364,13 +75266,13 @@ "issue:6132", "issue:6141", "issue:6242", - "issue:6331", "issue:6354", "issue:6359", "issue:6439", + "issue:6481", "issue:6524", + "issue:6725", "issue:6928", - "issue:6949", "issue:6958", "issue:7341", "issue:7405", @@ -75380,13 +75282,13 @@ "issue:8540", "issue:8588", "issue:8906", + "issue:9350", "issue:9396", + "issue:9488", "issue:962", "issue:9958" ], "soft_pairs": [ - "issue:3487|issue:6949", - "issue:3730|issue:6331", "issue:3765|issue:5956", "issue:3805|issue:4872", "issue:3826|issue:7405", @@ -75408,180 +75310,182 @@ "issue:6242|issue:7879", "issue:6354|issue:9958", "issue:6359|issue:7341", - "issue:6439|issue:9396" + "issue:6439|issue:9396", + "issue:6481|issue:9350", + "issue:6725|issue:9488" ], - "prepared_review_unit_hash": "7efa34e0864eda513d2472fe3917d227767703a800986a7b661e9305764e2a3f", + "prepared_review_unit_hash": "a383357d5227787a3ce26f983d867bdb83d40905dd4f1501393abfcf8cf4cae7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33302, - "estimated_input_tokens": 8326, - "estimated_eval_tokens": 16908 + "serialized_chars": 33331, + "estimated_input_tokens": 8333, + "estimated_eval_tokens": 16922 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All candidate soft edges are false positives: the cluster is a mix of unrelated issues spanning inpainting, schedulers, training, docs, datasets, and new pipeline/model requests.", + "summary": "This cluster is heterogeneous: it mixes unrelated feature requests, docs issues, training bugs, and model/pipeline-specific problems. None of the soft-similarity pairs look like the same underlying bug or change, so all should be rejected 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:3487", - "right": "issue:6949", - "accept": false, - "reason": "Both concern generation quality, but one is about inpaint strength with EulerAncestral and the other is blank outputs from DPMSolverSinglestep at even steps; different scheduler bugs." - }, - { - "left": "issue:3730", - "right": "issue:6331", - "accept": false, - "reason": "Inpainting time-step blending bug vs a SAG feature/request for inpainting; not the same underlying problem." - }, { "left": "issue:3765", "right": "issue:5956", "accept": false, - "reason": "Both mention training quality, but one is ControlNet stacking artifacts during training and the other is degraded SDXL U-Net fine-tuning performance; different issues." + "reason": "Both mention SD-XL training/image degradation, but one is about ControlNet stacking artifacts and the other about U-Net fine-tuning performance; different failure modes and likely different fixes." }, { "left": "issue:3805", "right": "issue:4872", "accept": false, - "reason": "Both involve Colab failures, but one is a generic CalledProcessError and the other is CUDA OOM in SDXL finetuning; different failure modes." + "reason": "Colab CalledProcessError is an execution/setup failure, while the other is GPU out-of-memory during SDXL finetuning; unrelated causes." }, { "left": "issue:3826", "right": "issue:7405", "accept": false, - "reason": "Both are new model/pipeline proposals, but they target completely different modalities: audio diffusion vs video diffusion." + "reason": "Both are new model/pipeline requests, but for different audio/video workflows and no shared code-path problem." }, { "left": "issue:3891", "right": "issue:6132", "accept": false, - "reason": "Tortoise TTS pipeline request vs adding LOADABLE_CLASSES support in PyTorch serialization; unrelated changes." + "reason": "Tortoise TTS pipeline request is unrelated to the nn.Module LOADABLE_CLASSES issue." }, { "left": "issue:4075", "right": "issue:4803", "accept": false, - "reason": "Minor ShapE docstring typo vs a missing requirements file error; unrelated." + "reason": "A docstring typo is not the same as a missing requirements file error." }, { "left": "issue:4186", "right": "issue:962", "accept": false, - "reason": "Both are inpainting-related, but one is SDXL inpaint with refiner and the other is a 512x512 size limitation in older inpaint pipelines; different bugs." + "reason": "SDXL inpaint with refiner and old inpaint-size limitations are different pipeline bugs in different generations." }, { "left": "issue:4213", "right": "issue:6055", "accept": false, - "reason": "SD-XL from_single_file() needing accelerate vs a generic accelerate error; too vague and not the same bug." + "reason": "SDXL from_single_file without accelerate and a generic accelerate error are not the same concrete bug." }, { "left": "issue:4524", "right": "issue:5866", "accept": false, - "reason": "AnimateDiff library request vs AnimateDiff + ControlNet feature request; related area but different change requests." + "reason": "AnimateDiff pipeline request and AnimateDiff+ControlNet are related only by subsystem, not the same underlying change." }, { "left": "issue:4648", "right": "issue:8906", "accept": false, - "reason": "Missing config.json during loading vs absence of qk_norm in SD3Transformer2DModel; unrelated." + "reason": "Missing config.json for ControlNet checkpoint loading is unrelated to a missing qk_norm attribute in SD3Transformer2DModel." }, { "left": "issue:4668", "right": "issue:6524", "accept": false, - "reason": "Weird images from Kohya-style LoRA vs LoRA breaking on second load; different LoRA problems." + "reason": "Weird LoRA images and second-load LoRA malfunction describe different LoRA failure modes." }, { "left": "issue:4672", "right": "issue:8540", "accept": false, - "reason": "SDXL LoRA VRAM reduction request vs SD3 dreambooth embedding/VAE caching; different training optimizations." + "reason": "VRAM reduction for SDXL LoRA training is not the same as caching embeddings/VAE representations for SD3 dreambooth." }, { "left": "issue:4680", "right": "issue:5980", "accept": false, - "reason": "SDXL inpainting fine-tuning vs ControlNet SDXL model export format question; unrelated." + "reason": "SDXL inpainting fine-tuning and ControlNet SDXL output file format are unrelated." }, { "left": "issue:4991", "right": "issue:6958", "accept": false, - "reason": "Missing train_dataloader in accelerate.prepare() vs use_linear_projection absent in mid_block; different code paths." + "reason": "Missing train_dataloader in accelerate.prepare() and use_linear_projection/mid_block mismatch in unet_motion_model are different training/model bugs." }, { "left": "issue:5258", "right": "issue:8241", "accept": false, - "reason": "SDXL ControlNet inpaint with refiner vs abnormal LEDITS++ model size; unrelated model issues." + "reason": "SDXL ControlNet Inpaint with refiner and LEDITS++ abnormal model size are unrelated issues." }, { "left": "issue:5285", "right": "issue:6928", "accept": false, - "reason": "Docs translation request vs Marigold depthmap colorization option; unrelated." + "reason": "Docs translation request and Marigold depthmap colorization option are unrelated feature requests." }, { "left": "issue:5598", "right": "issue:5981", "accept": false, - "reason": "_modify_text_encoder bug vs DPMSolverMultistepScheduler bug; different components." + "reason": "_modify_text_encoder bug and DPMSolverMultistepScheduler bug touch different components and behaviors." }, { "left": "issue:5783", "right": "issue:8588", "accept": false, - "reason": "EMA not working in SDXL training script vs missing SD3 conversion script; unrelated." + "reason": "EMA not working in an SDXL training script and a missing SD3 conversion script are unrelated." }, { "left": "issue:6141", "right": "issue:8390", "accept": false, - "reason": "ControlNet parameter support request vs Stable Cascade ControlNet training issue; different change scopes." + "reason": "ControlNet control_mode/resize_mode support and Stable Cascade ControlNet training are different feature requests." }, { "left": "issue:6242", "right": "issue:7879", "accept": false, - "reason": "Dataset log request vs a specific captions dataset request; not the same issue." + "reason": "Request for fill50k logs and a pokemon captions dataset are not duplicate bugs or changes." }, { "left": "issue:6354", "right": "issue:9958", "accept": false, - "reason": "LoRA support for ControlNet vs AutoencoderKLTemporalDecoder tiling support; unrelated." + "reason": "Add LoRA support for ControlNet and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." }, { "left": "issue:6359", "right": "issue:7341", "accept": false, - "reason": "EulerDiscreteScheduler velocity/add_noise bug vs a TorchVersion/Version comparison TypeError; different bugs." + "reason": "EulerDiscreteScheduler velocity/add_noise bug is unrelated to a TorchVersion vs Version comparison error." }, { "left": "issue:6439", "right": "issue:9396", "accept": false, - "reason": "Broken fp16 doc link vs Korean docs translation; unrelated documentation tasks." + "reason": "A broken fp16 doc link and Korean docs translation are unrelated documentation items." + }, + { + "left": "issue:6481", + "right": "issue:9350", + "accept": false, + "reason": "Dreambooth batch-size bug and txt_ids deprecation warning concern different training code paths." + }, + { + "left": "issue:6725", + "right": "issue:9488", + "accept": false, + "reason": "LDMPipeline image generation request and Lumina pipeline failure are unrelated pipeline issues." } ] }, @@ -75603,9 +75507,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", + "issue:11208", "issue:12012", "issue:13073", "issue:1323", @@ -75620,21 +75525,22 @@ "issue:3338", "issue:3908", "issue:4043", + "issue:4297", "issue:4356", "issue:4615", "issue:4646", "issue:5281", + "issue:5433", "issue:5619", "issue:5770", "issue:6351", - "issue:6481", - "issue:6725", "issue:6742", "issue:6949", "issue:7054", "issue:746", "issue:7592", "issue:7636", + "issue:7660", "issue:8320", "issue:8405", "issue:8429", @@ -75643,10 +75549,8 @@ "issue:9007", "issue:9112", "issue:9178", - "issue:9350", "issue:9361", "issue:9471", - "issue:9488", "issue:9495", "issue:9602", "issue:9846", @@ -75655,8 +75559,6 @@ "issue:9962" ], "soft_pairs": [ - "issue:6481|issue:9350", - "issue:6725|issue:9488", "issue:6949|issue:9007", "issue:7636|issue:8405", "issue:8320|issue:9846", @@ -75679,186 +75581,188 @@ "issue:5770|issue:6351", "issue:1323|issue:4615", "issue:3338|issue:4356", - "issue:4646|issue:746" + "issue:4646|issue:746", + "issue:11208|issue:7660", + "issue:4297|issue:5433" ], - "prepared_review_unit_hash": "eab199b693b10864f8f15951ab77c8ccf5a9f117c66c91f08176f7ab1b4688d2", + "prepared_review_unit_hash": "19c76a77ffe060e958ac1c481654d14a1c82ac4b0cc79a944ed51124758d8667", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34509, - "estimated_input_tokens": 8628, - "estimated_eval_tokens": 17512 + "serialized_chars": 34528, + "estimated_input_tokens": 8632, + "estimated_eval_tokens": 17520 }, "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 set is mostly unrelated issue reports. There are no PRs in the batch. If a representative issue must be chosen, issue 13073 is the clearest narrowly-scoped bug report.", - "confidence": 0.39, + "summary": "This cluster is heterogeneous: the soft-similarity pairs mostly share only broad subsystem keywords (ControlNet, LoRA, scheduler, training, import/load) but not the same concrete bug or change. I would not merge any of the candidate pairs, and there is no clear canonical issue/PR for the whole set.", + "confidence": 0.96, "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 13073 is the most concrete and narrowly scoped bug report here, with a specific pipeline and behavior, so it is the best anchor if one issue must represent the set.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:6481", - "right": "issue:9350", - "accept": false, - "reason": "Different problems: batch-size-related training failure vs a deprecation warning about 3D txt_ids tensors." - }, - { - "left": "issue:6725", - "right": "issue:9488", - "accept": false, - "reason": "Both are generation issues, but they involve different pipelines and unrelated failure modes." - }, { "left": "issue:6949", "right": "issue:9007", "accept": false, - "reason": "Same scheduler family, but different concrete symptoms and conditions: blank images at even steps vs black output with order 3." + "reason": "Both are DPMSolverSinglestepScheduler artifacts, but one is blank images at even steps and the other is black output with 3rd-order settings; different failure modes and likely different fixes." }, { "left": "issue:7636", "right": "issue:8405", "accept": false, - "reason": "Both mention ControlNet, but one is about using an SDXL tile model and the other about multi-ControlNet tensor shape errors." + "reason": "Both mention multiple ControlNets, but 7636 is a usage question for SDXL tile ControlNet while 8405 is a tensor-size error with multiple controlnets; not the same bug." }, { "left": "issue:8320", "right": "issue:9846", "accept": false, - "reason": "Both concern from_single_file, but they are different models and different missing/invalid behavior." + "reason": "8320 is a from_single_file attribute error on AutoencoderKL, while 9846 is a feature request for FluxControlNetModel support in from_single_file; not duplicate." }, { "left": "issue:8960", "right": "issue:9850", "accept": false, - "reason": "Training-example gradient accumulation bug is unrelated to frozen-model gradient checkpointing support." + "reason": "Different training concerns: gradient accumulation is nonfunctional versus enabling gradient checkpointing with a frozen model." }, { "left": "issue:9178", "right": "issue:9361", "accept": false, - "reason": "Training-time PEFT target-module errors and inference-time missing LoRA effect are different bugs." + "reason": "Both involve Flux LoRA, but one is a PEFT target-modules training error and the other is LoRA having no effect at inference; different code paths." }, { "left": "issue:9902", "right": "issue:9962", "accept": false, - "reason": "Completely unrelated: conda version pinning vs an unexpected keyword argument error." + "reason": "Unrelated: one is a Conda version pinning/stuck issue, the other is an unexpected use_cuda_graph keyword argument." }, { "left": "issue:7636", "right": "issue:9495", "accept": false, - "reason": "Different SDXL features and failures: ControlNet tile usage vs PAG with IPAdapter." + "reason": "Both are advanced conditioning-related questions, but 7636 is about using SDXL ControlNet tile models and 9495 is SDXL PAG with IPAdapter; different problems." }, { "left": "issue:12012", "right": "issue:9471", "accept": false, - "reason": "Unrelated: Wan 2.2 cache-context error vs a CoreML file-extension inference error." + "reason": "Completely different failures: Wan 2.2 context-state ValueError versus CoreML file-extension/resource-type inference error." }, { "left": "issue:8429", "right": "issue:9112", "accept": false, - "reason": "Different models and failures: I2VGen-XL script malfunction vs Auraflow tensor-size mismatch." + "reason": "Different models and errors: I2VGen-XL inference script issues versus an Auraflow tensor shape mismatch." }, { "left": "issue:3116", "right": "issue:3908", "accept": false, - "reason": "Scheduler latent-noise bug and Streamlit caching problem are unrelated." + "reason": "Scheduler noise in image2image is unrelated to caching a model in Streamlit." }, { "left": "issue:7054", "right": "issue:7592", "accept": false, - "reason": "Both are adapter-loading issues, but one mutates an input state_dict and the other misses DoRA keys; not the same bug." + "reason": "Both concern adapter loading, but one empties the passed state_dict and the other misses DoRA keys; distinct underlying bugs." }, { "left": "issue:10191", "right": "issue:9602", "accept": false, - "reason": "GPU device selection during training is unrelated to an adapter-name validation error." + "reason": "GPU-device selection during training is unrelated to adapter-name validation in a loaded model." }, { "left": "issue:1608", "right": "issue:1946", "accept": false, - "reason": "Training halting at 500 steps is unrelated to xformers CUDA invalid-argument failures." + "reason": "Training stopping at 500 steps on T4 is unrelated to a CUDA xformers invalid-argument error." }, { "left": "issue:4043", "right": "issue:5619", "accept": false, - "reason": "Different pipelines and different missing-input problems; no same code path." + "reason": "SDXL prompt-embed/pooled-embed requirements are unrelated to AutoencodeTiny failing for LCM img2img encode." }, { "left": "issue:13073", "right": "issue:13300", "accept": false, - "reason": "Both are generation bugs, but they affect different pipelines/models and different failure conditions." + "reason": "Different issues: ZImageControlNet guidance_scale support versus CPU inference failures for SD3.5/FLUX." }, { "left": "issue:6742", "right": "issue:9850", "accept": false, - "reason": "Checkpointing-related, but one is a motion block behavior difference and the other is enabling checkpointing with a frozen model." + "reason": "Both mention checkpointing, but 6742 is behavior divergence in DownBlockMotion and 9850 is enabling checkpointing with frozen models; not same bug." }, { "left": "issue:1495", "right": "issue:2578", "accept": false, - "reason": "Import failure for init_git_repo is unrelated to editable-install behavior." + "reason": "Importing init_git_repo and editable-install problems are separate packaging/import failures." }, { "left": "issue:1672", "right": "issue:3222", "accept": false, - "reason": "Wrong image size after conversion is unrelated to missing custom diffusion weight files after training." + "reason": "Wrong image size after ckpt-to-diffusers conversion is unrelated to missing custom diffusion weight output." }, { "left": "issue:5281", "right": "issue:8523", "accept": false, - "reason": "Both are CUDA/device errors, but they involve different workflows and no shared concrete bug." + "reason": "Different device/runtime issues: CPU offload across XL pipelines versus a generic playground CUDA error." }, { "left": "issue:5770", "right": "issue:6351", "accept": false, - "reason": "Dataset-access problem and DDP missing-disable_adapters error are unrelated." + "reason": "Dataset access preventing LCM distill run is unrelated to a DistributedDataParallel disable_adapters attribute error." }, { "left": "issue:1323", "right": "issue:4615", "accept": false, - "reason": "Flax dtype-loading failure is unrelated to a missing StableDiffusionControlnetPipeline import." + "reason": "Flax dtype-loading behavior and a missing StableDiffusionControlnetPipeline import are unrelated." }, { "left": "issue:3338", "right": "issue:4356", "accept": false, - "reason": "Import-performance complaint and missing dummy module error are different issues." + "reason": "Import slowness and a missing dummy module are different packaging/runtime problems." }, { "left": "issue:4646", "right": "issue:746", "accept": false, - "reason": "Both touch ONNX, but one is a conversion failure and the other is an ONNX-revision loading problem." + "reason": "Both involve ONNX/export/loading, but one is ControlNet conversion failure and the other is an img2img ONNX revision loading issue." + }, + { + "left": "issue:11208", + "right": "issue:7660", + "accept": false, + "reason": "MultiControlNet support for SD3ControlNetInpaintingPipeline is unrelated to a trace example not working." + }, + { + "left": "issue:4297", + "right": "issue:5433", + "accept": false, + "reason": "Both report visual artifacts, but one is batched SDXL img2img fishnet artifacts and the other is DPM++/SDXL artifacts without refiner; different reproduction conditions and likely different causes." } ] }, @@ -75880,7 +75784,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10281", "issue:10282", @@ -75889,13 +75793,15 @@ "issue:1076", "issue:1083", "issue:10869", - "issue:11208", + "issue:10940", "issue:11241", "issue:11519", "issue:11574", "issue:12025", + "issue:12060", "issue:12299", "issue:12319", + "issue:12373", "issue:12489", "issue:12505", "issue:12535", @@ -75914,26 +75820,22 @@ "issue:3401", "issue:4059", "issue:4104", - "issue:4297", "issue:4551", "issue:4631", "issue:4646", - "issue:5433", "issue:5953", "issue:6533", "issue:7223", "issue:7370", "issue:7629", - "issue:7660", "issue:7895", + "issue:7935", "issue:8552", "issue:9007", "issue:9516", "issue:968" ], "soft_pairs": [ - "issue:11208|issue:7660", - "issue:4297|issue:5433", "issue:1534|issue:193", "issue:1083|issue:4646", "issue:12319|issue:13488", @@ -75955,180 +75857,182 @@ "issue:12505|issue:12754", "issue:12535|issue:13279", "issue:10596|issue:12025", - "issue:1076|issue:4059" + "issue:1076|issue:4059", + "issue:10940|issue:7935", + "issue:12060|issue:12373" ], - "prepared_review_unit_hash": "95603e57c7c592b4ccb56835e4bf76e64a9b012a3581c86a05d74a0bc9e3a423", + "prepared_review_unit_hash": "1bdeb3c57fb1db68b50df539db1093f5f080438b3c053626a44bdf2b6a7ced3a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33844, - "estimated_input_tokens": 8461, - "estimated_eval_tokens": 17178 + "serialized_chars": 33824, + "estimated_input_tokens": 8456, + "estimated_eval_tokens": 17168 }, "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 model/pipeline support questions. None of the soft-similarity pairs look like true duplicates of the same underlying issue/change, so I would not merge any of them.", - "confidence": 0.98, - "canonical_issue_reason": "No single canonical duplicate stands out because the items span unrelated problems across different pipelines, schedulers, loading paths, and feature requests. If a representative issue must be chosen, #11208 is the strongest standalone bug report with broad impact and the most discussion.", - "canonical_pr_reason": "No pull requests are present in this cluster.", - "best_issue_reason": "#11208 is the best standalone issue to anchor on: it is a concrete, user-facing bug with clear scope and higher engagement than most others here.", - "best_pr_reason": "No pull requests are present in this cluster.", + "summary": "This cluster is not a true duplicate set: the items span unrelated feature requests, model-loading errors, scheduler bugs, and offloading regressions. The soft edges are mostly title-level similarity and 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:11208", - "right": "issue:7660", - "accept": false, - "reason": "Different problems: unsupported MultiControlNetModel in one specific pipeline vs a trace example failing to work." - }, - { - "left": "issue:4297", - "right": "issue:5433", - "accept": false, - "reason": "Both mention visual artifacts, but the failure modes and triggering conditions differ (batched img2img watermarks vs DPM++/no-refiner artifacts)." - }, { "left": "issue:1534", "right": "issue:193", "accept": false, - "reason": "Dreambooth notebook training error is unrelated to a generic pipeline error report." + "reason": "Both are generic runtime problems, but one is a Dreambooth notebook error and the other is an unspecific pipeline error; no shared concrete bug." }, { "left": "issue:1083", "right": "issue:4646", "accept": false, - "reason": "Incorrect FP16 ONNX output is a different bug from ControlNet ONNX conversion failure." + "reason": "ONNX wrong-output bug vs ONNX conversion failure; related area, but different failure modes and likely different fixes." }, { "left": "issue:12319", "right": "issue:13488", "accept": false, - "reason": "Both concern offloading, but one is a block_level regression and the other is a version-wide breakage; not the same concrete code-path." + "reason": "Both mention offloading, but one is a block-level offloading regression and the other is a version-wide breakage claim; too broad to be the same bug." }, { "left": "issue:2437", "right": "issue:6533", "accept": false, - "reason": "A T2I-Adapter pipeline request is unrelated to the Marigold pipeline request." + "reason": "Two separate feature requests for different pipelines; no duplicate problem or mergeable change." }, { "left": "issue:4631", "right": "issue:9007", "accept": false, - "reason": "Same scheduler family, but one is a Tensor-to-scalar runtime error and the other is black output; too different to treat as one bug." + "reason": "Same scheduler family, but one is a scalar-conversion exception and the other is black output with order 3; different concrete bugs." }, { "left": "issue:5953", "right": "issue:7629", "accept": false, - "reason": "ControlNet image/control size crash and SVD OOM on PyTorch 1.13 are unrelated." + "reason": "ControlNet image/control size crash vs PyTorch 1.13.1 OOM in SVD; unrelated issues." }, { "left": "issue:10869", "right": "issue:12299", "accept": false, - "reason": "Meta-tensor item() failure and SD3 tensor mismatch with negative prompts are different shape/embedding bugs." + "reason": "Both are tensor-shape/metadata problems, but one is meta-tensor item() usage and the other is SD3 prompt-embedding mismatch; different code paths." }, { "left": "issue:11241", "right": "issue:8552", "accept": false, - "reason": "Flux ControlNet training floating-point exception is unrelated to TextToVideoZeroPipeline segmentation fault." + "reason": "Floating-point exception in Flux ControlNet training vs segmentation fault in TextToVideoZero inference; not the same bug." }, { "left": "issue:2153", "right": "issue:4104", "accept": false, - "reason": "GTX 1660 float16 runtime issues are not the same as black-image invalid cast output." + "reason": "Float16 GPU incompatibility vs black image output/cast warning; different symptoms and likely unrelated fixes." }, { "left": "issue:1934", "right": "issue:2763", "accept": false, - "reason": "Both mention VRAM, but cpu_offload memory bloat and cudnn.benchmark ControlNet VRAM growth are distinct issues." + "reason": "VRAM/offload memory complaint vs ControlNet cuDNN benchmark memory increase; not the same underlying issue." }, { "left": "issue:3401", "right": "issue:4551", "accept": false, - "reason": "class_labels / num_class_embeds validation is unrelated to a SDXL Dreambooth crash." + "reason": "Class-label validation error during training vs SDXL Dreambooth crash; separate model/training problems." }, { "left": "issue:7223", "right": "issue:7370", "accept": false, - "reason": "These are different feature requests for different video models (Latte vs OpenSora STDiT)." + "reason": "Different video-model feature requests (Latte vs STDiT/OpenSora support); not duplicates." }, { "left": "issue:10653", "right": "issue:12489", "accept": false, - "reason": "Bitsandbytes .to()/device movement problem is unrelated to CUDA sm_120 kernel compatibility." + "reason": "8-bit `.to()`/device-move limitation vs CUDA sm_120 kernel compatibility error; unrelated failures." }, { "left": "issue:10281", "right": "issue:11519", "accept": false, - "reason": "A new scheduler request and a MAGI-1 support request are different feature asks." + "reason": "Two unrelated feature requests for different models/schedulers (FreeScale vs MAGI-1)." }, { "left": "issue:1440", "right": "issue:968", "accept": false, - "reason": "Deleting cached models is unrelated to model-loading slowness." + "reason": "Model cache deletion request vs slow model loading; different concerns." }, { "left": "issue:1633", "right": "issue:2858", "accept": false, - "reason": "Karras sigmas support and seeding image support are separate pipeline enhancements." + "reason": "Karras sigmas support vs seeding image for unclip img2img; separate feature requests." }, { "left": "issue:7895", "right": "issue:9516", "accept": false, - "reason": "Flax memory-efficient attention bug and FLUX joint_attention_kwargs wiring are different code paths." + "reason": "Flax memory-efficient attention bug vs FLUX joint_attention_kwargs not forwarded; different implementations and fixes." }, { "left": "issue:10282", "right": "issue:11574", "accept": false, - "reason": "Shape mismatch on x_embedder.weight and missing VAE key are different loading errors." + "reason": "Shape mismatch while loading x_embedder weights vs missing VAE key; both load-time errors, but not the same missing tensor." }, { "left": "issue:12505", "right": "issue:12754", "accept": false, - "reason": "tgate img2img error and from_pipe dtype conversion are unrelated issues." + "reason": "tgate img2img error vs `from_pipe` dtype conversion behavior; unrelated pipeline issues." }, { "left": "issue:12535", "right": "issue:13279", "accept": false, - "reason": "Wan2.2 LoRA loading failure and AutoencoderRAE compatibility with older transformers are distinct model-loading problems." + "reason": "Wan2.2 LoRA load failure vs AutoencoderRAE loading with older transformers; different models and incompatibilities." }, { "left": "issue:10596", "right": "issue:12025", "accept": false, - "reason": "FluxControlPipeline shape error and Cosmos VAE Encoder API error are unrelated." + "reason": "FluxControlPipeline shape error vs Cosmos VAE encoder API error; not the same code path." }, { "left": "issue:1076", "right": "issue:4059", "accept": false, - "reason": "A general stable-diffusion-v1-5 question is unrelated to a ControlNet reference pipeline bug/question." + "reason": "General Stable Diffusion v1.5 question vs ControlNet reference pipeline bug/question; unrelated." + }, + { + "left": "issue:10940", + "right": "issue:7935", + "accept": false, + "reason": "Missing optional dependency (`triton.ops`) vs missing model config file; different loading failures." + }, + { + "left": "issue:12060", + "right": "issue:12373", + "accept": false, + "reason": "Question about whether a DiT block exists vs proposal for an Unlearn API; not the same issue or change." } ] }, @@ -76150,7 +76054,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10282", "issue:10411", @@ -76160,14 +76064,12 @@ "issue:10659", "issue:1070", "issue:10920", - "issue:10940", "issue:10950", "issue:1195", "issue:12022", - "issue:12060", + "issue:12216", "issue:12221", "issue:12319", - "issue:12373", "issue:13430", "issue:1811", "issue:2097", @@ -76179,9 +76081,11 @@ "issue:3698", "issue:3876", "issue:4720", + "issue:4767", "issue:5546", "issue:5607", "issue:5777", + "issue:5907", "issue:5927", "issue:599", "issue:6073", @@ -76191,7 +76095,6 @@ "issue:7264", "issue:7538", "issue:7732", - "issue:7935", "issue:7950", "issue:8277", "issue:8824", @@ -76199,11 +76102,10 @@ "issue:9109", "issue:9161", "issue:9171", - "issue:9464" + "issue:9464", + "issue:9558" ], "soft_pairs": [ - "issue:10940|issue:7935", - "issue:12060|issue:12373", "issue:12221|issue:13430", "issue:5546|issue:7732", "issue:599|issue:725", @@ -76225,187 +76127,192 @@ "issue:3698|issue:7264", "issue:2097|issue:2967", "issue:6073|issue:7056", - "issue:10411|issue:8277" + "issue:10411|issue:8277", + "issue:4767|issue:5907", + "issue:12216|issue:9558" ], - "prepared_review_unit_hash": "3403a71205823bee90be2bfeba5605c50ba8bb0029884278968e1f99b8531b20", + "prepared_review_unit_hash": "2e04e9500349a2c1eafa44cc7df930c0a8de3ed5c65ddf2c8c8e1dea128d844e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34152, - "estimated_input_tokens": 8538, - "estimated_eval_tokens": 17332 + "serialized_chars": 34146, + "estimated_input_tokens": 8537, + "estimated_eval_tokens": 17330 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set does not contain any clear duplicate issue groups; the suggested soft pairs are mostly superficial title similarity across different bugs, features, and docs/training topics. I\u2019d anchor the cluster on a concrete, well-scoped bug report rather than try to merge unrelated items.", - "confidence": 0.89, - "canonical_issue_reason": "Issue #12319 is a concrete, clearly scoped bug report with strong discussion/inbound references, making it the best anchor among mostly unrelated items.", + "summary": "Most items are unrelated Diffusers issues/feature requests across different models, schedulers, training scripts, and docs. Only the two UNet1D reports look like the same underlying runtime problem; the rest should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:2967 is the clearest representative of the only plausible duplicate pair, with the most explicit UNet1D runtime-failure framing.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #12319 is the most suitable representative: specific failure mode, actionable title, and higher engagement than the other issues.", + "best_issue_reason": "issue:2967 is the strongest anchor for triage because it describes the UNet1D failure more concretely than the other UNet1D report and is the better duplicate representative.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:10940", - "right": "issue:7935", - "accept": false, - "reason": "Both mention loading/import problems, but one is a Triton import error and the other is a missing config.json model-repo issue; different root causes and fixes." - }, - { - "left": "issue:12060", - "right": "issue:12373", - "accept": false, - "reason": "A general question about DiT blocks versus an API proposal for unlearn; unrelated intent and code change surface." - }, { "left": "issue:12221", "right": "issue:13430", "accept": false, - "reason": "Different feature requests for different model support; same broad theme of contribution requests, but not the same underlying bug/change." + "reason": "Both are feature/support requests, but they target different models and changes: DiffSynth ControlNet support vs JoyAI-Image-Edit support." }, { "left": "issue:5546", "right": "issue:7732", "accept": false, - "reason": "Both involve schedulers/SDXL-ish behavior, but one is a step-count bug in base+refiner ensembles and the other is a ControlNet/refiner runtime error; not the same issue." + "reason": "Both involve SDXL/refiner/controlnet areas, but one is a scheduler step-count bug and the other is a runtime error with ControlNet+Refiner." }, { "left": "issue:599", "right": "issue:725", "accept": false, - "reason": "Both are memory/deployment related, but one requests DeepSpeed support and the other device-map/accelerate loading; separate changes." + "reason": "Related to model loading/memory, but one asks for Deepspeed integration and the other for device-map/accelerate loading support." }, { "left": "issue:3876", "right": "issue:6964", "accept": false, - "reason": "Both are inpainting-related, but they describe different pipeline failures and model-channel compatibility problems; not the same code-path bug." + "reason": "Both touch inpainting/controlnet, but they are different failures: a demo error vs incompatibility with 4-channel UNets." }, { "left": "issue:1070", "right": "issue:4720", "accept": false, - "reason": "Older inpainting bug versus AutoencoderTiny incompatibility; same general area but different component and failure mechanism." + "reason": "Both are inpainting-related, but the concrete bugs differ: an inpainting version regression vs AutoencoderTiny compatibility." }, { "left": "issue:7538", "right": "issue:8824", "accept": false, - "reason": "Different training/data-prep questions for different pipelines; no shared concrete bug or patch target." + "reason": "Both are dataset/training questions, but they concern different workflows: Fill50k-style training vs instruct-pix2pix dataset creation." }, { "left": "issue:2437", "right": "issue:5927", "accept": false, - "reason": "A feature request for a new pipeline versus a usage/problem report combining existing components; not duplicates." + "reason": "These are separate feature requests for different adapter types and pipeline combinations; same broad area, not the same change." }, { "left": "issue:7950", "right": "issue:8832", "accept": false, - "reason": "Framework/library incompatibility versus a generic runtime crash when calling a pipeline; too vague and different root causes." + "reason": "Different problems entirely: a PyTorch/Diffusers compatibility issue vs a generic pipeline crash when indexing images." }, { "left": "issue:10514", "right": "issue:10659", "accept": false, - "reason": "Sana resolution-binning limitation versus ConsisID output quality complaint; different models and problems." + "reason": "Different model-specific issues: Sana resolution binning limits vs ConsisID poor generation quality." }, { "left": "issue:10920", "right": "issue:9171", "accept": false, - "reason": "Both are scheduler/pipeline regression reports, but one is DDIMInverseScheduler infs and the other is from_single_file prediction_type handling; different code paths." + "reason": "Different scheduler/loader bugs with different triggers and code paths; not the same underlying defect." }, { "left": "issue:12022", "right": "issue:9109", "accept": false, - "reason": "Flash-attention interface mismatch is unrelated to a torchvision nms operator missing error; different dependencies and fixes." + "reason": "Unrelated dependency/interface failures: flash-attention 3 API incompatibility vs missing torchvision::nms operator." }, { "left": "issue:9161", "right": "issue:9464", "accept": false, - "reason": "Both affect Flux DreamBooth LoRA training, but one reports distributed bugs and the other a prodigy/train_text_encoder IndexError; not the same concrete bug." + "reason": "Both are about training Flux LoRA, but the concrete failures differ: distributed bugs vs an IndexError with prodigy and train_text_encoder." }, { "left": "issue:2392", "right": "issue:3347", "accept": false, - "reason": "Prompt_embeds validation error in img2img versus NaN image output from a diffusion pipeline; different symptoms and likely different causes." + "reason": "One is an input-validation error around prompt_embeds, the other is NaN image output; different symptoms and likely different causes." }, { "left": "issue:10282", "right": "issue:5607", "accept": false, - "reason": "Both are tensor shape/runtime failures, but the affected shapes and code paths differ; insufficient evidence of the same underlying bug." + "reason": "Both are tensor-shape failures, but the titles indicate different code paths and different mismatched dimensions." }, { "left": "issue:10450", "right": "issue:10591", "accept": false, - "reason": "SingleStreamBlock implementation mismatch versus sd3 LoRA training script issues; same model family but not the same change or bug." + "reason": "Architecture comparison for Flux blocks vs an sd3 LoRA training-script bug; not the same bug or change." }, { "left": "issue:10950", "right": "issue:12319", "accept": false, - "reason": "Docs broken for accelerate inference versus a group offloading runtime bug; different artifact types and fixes." + "reason": "Documentation breakage and group offloading behavior are unrelated issues." }, { "left": "issue:1195", "right": "issue:1811", "accept": false, - "reason": "Memory-efficient attention fp16 support versus from_pretrained choosing between bin and safetensors; unrelated loading/attention problems." + "reason": "Different components: memory-efficient attention with fp16 weights vs from_pretrained downloading both weight formats." }, { "left": "issue:3622", "right": "issue:5777", "accept": false, - "reason": "Tutorial import error versus PixArt DreamBooth training failure; different surfaces and root causes." + "reason": "A tutorial import error and a PixArt DreamBooth training error are unrelated." }, { "left": "issue:3698", "right": "issue:7264", "accept": false, - "reason": "Inpainting model conversion request versus custom transformers model serialization/loading problem; not the same issue." + "reason": "Different feature areas: model conversion to Diffusers vs serialization/loading of custom transformers models." }, { "left": "issue:2097", "right": "issue:2967", - "accept": false, - "reason": "Both are UNet1D-related, but one is a general problem using UNet1D and the other cannot get a simple UNet1D to run; not enough evidence they are the same concrete bug." + "accept": true, + "reason": "Both titles describe the same UNet1D failure to run, with no meaningful distinction in component or symptom from the titles." }, { "left": "issue:6073", "right": "issue:7056", "accept": false, - "reason": "Beginner DreamBooth SDXL setup error versus a LoRA fine-tuning error with train_text_encoder; different scripts and failure modes." + "reason": "A beginner DreamBooth SDXL setup error is not the same as an LoRA fine-tuning error involving train_text_encoder." }, { "left": "issue:10411", "right": "issue:8277", "accept": false, - "reason": "How-to training question versus a convergence problem in consistency training; different nature and no shared underlying bug." + "reason": "Training-script usage question vs convergence problem; different issue types and likely different causes." + }, + { + "left": "issue:4767", + "right": "issue:5907", + "accept": false, + "reason": "Scheduler prediction_type support question vs DDPMScheduler docs/API mismatch; not the same bug." + }, + { + "left": "issue:12216", + "right": "issue:9558", + "accept": false, + "reason": "One is about Qwen-Image-Edit quality compared to ComfyUI, the other about black validation images in tensorboard." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The UNet1D pair is a plausible duplicate anchor, and the other soft-edge rejections stay appropriately cautious given the packet evidence." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -76420,18 +76327,18 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1037", "issue:10653", "issue:11448", "issue:11872", - "issue:12216", "issue:12359", "issue:13446", "issue:1556", "issue:1931", "issue:2068", + "issue:2201", "issue:2444", "issue:2534", "issue:255", @@ -76448,32 +76355,30 @@ "issue:4605", "issue:4665", "issue:4724", - "issue:4767", "issue:487", "issue:5216", "issue:5334", "issue:5553", "issue:5578", - "issue:5907", "issue:6176", "issue:6457", + "issue:6574", "issue:6811", "issue:6880", "issue:6958", + "issue:7056", "issue:7421", "issue:7519", "issue:7589", "issue:8393", + "issue:8477", "issue:8588", "issue:8943", "issue:9188", - "issue:9558", "issue:9599", "issue:984" ], "soft_pairs": [ - "issue:4767|issue:5907", - "issue:12216|issue:9558", "issue:3251|issue:6958", "issue:3574|issue:4665", "issue:4724|issue:8393", @@ -76495,180 +76400,182 @@ "issue:9188|issue:9599", "issue:10653|issue:11872", "issue:255|issue:487", - "issue:3799|issue:3861" + "issue:3799|issue:3861", + "issue:7056|issue:8477", + "issue:2201|issue:6574" ], - "prepared_review_unit_hash": "2547b979c07b3ceb8712f39be3d136daec7e2e8352f205735aa6185295029fcc", + "prepared_review_unit_hash": "1aa0323824e5839e5dfba33f5d84ce0551c18e9c4196b6e79fd87b094a59bd55", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34051, - "estimated_input_tokens": 8513, - "estimated_eval_tokens": 17282 + "serialized_chars": 34099, + "estimated_input_tokens": 8525, + "estimated_eval_tokens": 17306 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is very heterogeneous: most items are unrelated Diffusers/Pipeline issues rather than duplicates. None of the soft pairs look like the same underlying bug or change. If forced to pick a single issue anchor, #5553 is the broadest loading-related umbrella, but the cluster is too mixed for a strong canonical.", - "confidence": 0.27, - "canonical_issue_reason": "No true duplicate group is evident; #5553 is the closest umbrella because it broadly covers custom model/pipeline loading failures.", + "summary": "This cluster is a grab-bag of unrelated Diffusers issues, feature requests, and documentation items. None of the soft pairs look like the same underlying bug or change, so there is no defensible canonical item here.", + "confidence": 0.97, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "#5553 is the most general issue in the loading/custom-model area and is the closest fit as an umbrella, though only weakly.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:4767", - "right": "issue:5907", - "accept": false, - "reason": "Both mention prediction_type, but one is a scheduler feature request and the other is a docs/API mismatch; not the same bug." - }, - { - "left": "issue:12216", - "right": "issue:9558", - "accept": false, - "reason": "Different symptom and context: Qwen-Image-Edit quality vs. black tensorboard validation images." - }, { "left": "issue:3251", "right": "issue:6958", "accept": false, - "reason": "Both are model/component configuration issues, but they affect different code paths and different functionality." + "reason": "Different models and failures: ControlNet Shuffle CFG-side behavior vs a missing unet_motion_model flag in mid_block." }, { "left": "issue:3574", "right": "issue:4665", "accept": false, - "reason": "Both involve Windows loading behavior, but one is from_ckpt conversion and the other is safetensors/bin file selection." + "reason": "Both are Windows-related, but one is from_ckpt conversion behavior and the other is use_safetensors file selection with alternate bin files." }, { "left": "issue:4724", "right": "issue:8393", "accept": false, - "reason": "Img2Img misbehavior is unrelated to checkpoint shard loading latency." + "reason": "Img2img correctness on SDXL vs slow checkpoint shard loading; different code paths and symptom classes." }, { "left": "issue:1556", "right": "issue:3948", "accept": false, - "reason": "Both describe bad image output, but the symptoms and likely causes differ (black images vs. pale images)." + "reason": "Different image-quality symptoms with no shared concrete failure mode: black images/NSFW warning vs pale outputs." }, { "left": "issue:2444", "right": "issue:6880", "accept": false, - "reason": "Dreambooth inpaint script failure and Custom Diffusion retrieve.py are different scripts/problems." + "reason": "Different scripts and errors: dreambooth inpaint training failure vs custom diffusion retrieve.py issue." }, { "left": "issue:1931", "right": "issue:984", "accept": false, - "reason": "Float16 dtype mismatch is unrelated to interpolate breaking for large batch sizes." + "reason": "Separate tensor problems: float16 dtype mismatch in Stable Diffusion 2 vs interpolate breaking for large batch size." }, { "left": "issue:5216", "right": "issue:7589", "accept": false, - "reason": "Both are GLIGEN-related, but one is a specific inpainting tensor error and the other is a general layout-to-image failure report." - }, - { - "left": "issue:5334", - "right": "issue:6457", - "accept": false, - "reason": "Both concern training/gradient accumulation, but not the same concrete bug or fix." + "reason": "Different pipelines and bugs: GLIGEN inpainting 0-d tensor iteration vs GLIGEN layout-to-image not working." }, { "left": "issue:5553", "right": "issue:6176", "accept": false, - "reason": "Custom model loading failure is separate from loading LoRA weights after DreamBooth LoRA training." + "reason": "Custom model loading failure is not the same as failing to load LoRA weights after dreambooth_lora training." }, { "left": "issue:12359", "right": "issue:13446", "accept": false, - "reason": "One is a documentation bug for guidance_scale, the other is a trust/safety check issue for custom_pipeline." + "reason": "Documentation note about guidance_scale is unrelated to the security/trust check for custom_pipeline." }, { "left": "issue:1037", "right": "issue:280", "accept": false, - "reason": "Stable Diffusion Telephone community pipeline request is unrelated to adding the DEIS scheduler." + "reason": "Unrelated additions: Stable Diffusion Telephone community pipeline vs DEIS scheduler implementation." }, { "left": "issue:11448", "right": "issue:8943", "accept": false, - "reason": "Missing model/file path for a specific pipeline is unrelated to a libtorch shared library import failure." + "reason": "Missing model path in fusing/stable-unclip-2-1-h-img2img is unrelated to a libtorch shared-library install failure." }, { "left": "issue:2068", "right": "issue:3238", "accept": false, - "reason": "dtype conversion in from_pretrained is unrelated to converting LoRA safetensors to Diffusers format." + "reason": "from_pretrained dtype conversion behavior and LoRA safetensor conversion are different features with different targets." }, { "left": "issue:2534", "right": "issue:4605", "accept": false, - "reason": "Scheduler switch error and long-prompt-weighting inpaint error are different bugs in different pipelines." + "reason": "Scheduler switching error is unrelated to the long-prompt-weighting inpaint model error." }, { "left": "issue:2761", "right": "issue:4391", "accept": false, - "reason": "Documentation for UNet1DModel extra_in_channels is unrelated to a wrong default value in SDXL pipeline." + "reason": "Both are docs issues, but they concern different parameters in different pipelines and are not the same change." }, { "left": "issue:4264", "right": "issue:8588", "accept": false, - "reason": "Missing example images and missing conversion script are unrelated docs/file omissions." + "reason": "Missing example images and a missing SD3 conversion script are unrelated documentation/file issues." + }, + { + "left": "issue:5334", + "right": "issue:6457", + "accept": false, + "reason": "Both involve training infrastructure, but one is about Accelerate APIs and the other about gradient accumulation in SDXL-LoRA." }, { "left": "issue:5578", "right": "issue:6811", "accept": false, - "reason": "Both mention model_index.json lookup failures, but they point to different missing-model scenarios and artifacts." + "reason": "A generic missing model_index.json error is not the same as a specific 404 for the i2vgen-xl model file." }, { "left": "issue:7421", "right": "issue:7519", "accept": false, - "reason": "Seed handling in K-Diffusion is unrelated to XFormers cross_attention_kwargs scale warnings." + "reason": "Seed reproducibility in KDiffusion is unrelated to XFormers ignoring cross_attention_kwargs['scale']." }, { "left": "issue:9188", "right": "issue:9599", "accept": false, - "reason": "Outpainting feature request and LoRA-only finetune example request are different feature asks." + "reason": "Flux outpainting feature request vs asking for a LoRA-only finetune example; related model family, but not the same item." }, { "left": "issue:10653", "right": "issue:11872", "accept": false, - "reason": "Both involve CPU/GPU movement, but one is a bitsandbytes 8bit .to() limitation and the other is repeated offloading inefficiency." + "reason": "One is an unsupported .to() on an 8bit bitsandbytes module, the other is a CPU/GPU offloading inefficiency." }, { "left": "issue:255", "right": "issue:487", "accept": false, - "reason": "Both are device/shape/runtime issues, but one is a size divisibility bug and the other is M1 CPU compatibility." + "reason": "Completely different bugs: size-divisibility error in StableDiffusionPipeline vs M1 CPU incompatibility." }, { "left": "issue:3799", "right": "issue:3861", "accept": false, - "reason": "Both concern scheduler/from_pretrained naming or typing, but they are not the same concrete defect." + "reason": "Different API concerns: incorrect inferred type for DDPMScheduler.from_pretrained vs a Pipeline.from_pretrained naming question." + }, + { + "left": "issue:7056", + "right": "issue:8477", + "accept": false, + "reason": "Training errors in different scripts: SDXL LoRA train_text_encoder failure vs a DDP error in a research consistency script." + }, + { + "left": "issue:2201", + "right": "issue:6574", + "accept": false, + "reason": "Tokenizer padding behavior and an SVD pipeline tensor warning are unrelated pipeline-specific issues." } ] }, @@ -76690,7 +76597,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10085", "issue:10111", @@ -76698,13 +76605,13 @@ "issue:10210", "issue:10475", "issue:10518", + "issue:10917", "issue:1127", "issue:11432", "issue:1207", "issue:12781", "issue:13249", "issue:1750", - "issue:2201", "issue:2402", "issue:2880", "issue:2891", @@ -76720,19 +76627,19 @@ "issue:4668", "issue:5215", "issue:5392", + "issue:5693", "issue:590", "issue:5989", + "issue:6250", "issue:6256", "issue:6354", "issue:6452", - "issue:6574", "issue:7054", - "issue:7056", "issue:7142", + "issue:7365", "issue:7368", "issue:7575", "issue:7889", - "issue:8477", "issue:8514", "issue:8700", "issue:8785", @@ -76742,8 +76649,6 @@ "issue:989" ], "soft_pairs": [ - "issue:7056|issue:8477", - "issue:2201|issue:6574", "issue:3954|issue:590", "issue:2891|issue:5215", "issue:4198|issue:989", @@ -76765,180 +76670,182 @@ "issue:3978|issue:4480", "issue:10085|issue:7142", "issue:3366|issue:3450", - "issue:3481|issue:4668" + "issue:3481|issue:4668", + "issue:5693|issue:6250", + "issue:10917|issue:7365" ], - "prepared_review_unit_hash": "e0578cf35171d0a437b239d3fd68177d64a634ae8d76951ce4afd5339ab7a117", + "prepared_review_unit_hash": "c39b46bc5b4f125665b21e17a1d2d6765c0951a74c8330410ef1e0a5e4ed5175", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33905, - "estimated_input_tokens": 8477, - "estimated_eval_tokens": 17210 + "serialized_chars": 33736, + "estimated_input_tokens": 8434, + "estimated_eval_tokens": 17124 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the issues span unrelated pipelines, model families, training scripts, dtype/runtime errors, and feature requests. The soft-similarity pairs are not duplicate candidates for the same underlying bug/change.", - "confidence": 0.92, - "canonical_issue_reason": "Issue 10210 is the most concrete, narrowly scoped bug report in the set (specific pipeline, clear symptom, reproducible behavior), so it is the best single issue representative if a canonical issue must be chosen.", + "summary": "This cluster is a grab bag of mostly unrelated diffusers issues; the soft links are mostly title-level similarity, not shared root causes. No pair should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #10111 is the broadest umbrella title in the set and the best anchor for the FLUX-related pipeline bug reports, even though the overall cluster is heterogeneous.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10210 is the strongest representative overall because it describes a precise, user-facing failure mode rather than a broad or speculative report.", + "best_issue_reason": "Issue #10111 is the most suitable representative because it is the most general and centrally named around the FLUX pipeline, while the other items are narrower or clearly unrelated.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:7056", - "right": "issue:8477", - "accept": false, - "reason": "Different failures in different training paths: SDXL LoRA fine-tuning error vs a Consistency Training script DDP error." - }, - { - "left": "issue:2201", - "right": "issue:6574", - "accept": false, - "reason": "Tokenizer padding behavior is unrelated to an SVD pipeline warning about expected input range." - }, { "left": "issue:3954", "right": "issue:590", "accept": false, - "reason": "Multi-GPU training-step counting is unrelated to a typo in a Karras scheduler noise formula." + "reason": "Different scheduler bugs: multi-GPU training step counting vs a typo in the Karras noise formula." }, { "left": "issue:2891", "right": "issue:5215", "accept": false, - "reason": "Docs/API mismatch for upscale embeds is not the same as a brightness regression on dark source images." + "reason": "Both involve StableDiffusionUpscalePipeline, but one is an API/doc mismatch and the other is a brightness-quality regression." }, { "left": "issue:4198", "right": "issue:989", "accept": false, - "reason": "A dtype mismatch in a notebook is unrelated to a linear-layer weight shape error." + "reason": "Generic runtime errors, but they point to different failures: dtype mismatch in a notebook vs a 2-D weight assertion." }, { "left": "issue:2880", "right": "issue:3081", "accept": false, - "reason": "Different Colab breakages in different projects; no shared code path or symptom." + "reason": "Both are Colab failures, but they concern different notebooks and different workflows/backends." }, { "left": "issue:5392", "right": "issue:7368", "accept": false, - "reason": "Training an unconditional latent diffusion model and training GLIGEN are different requests, not the same bug." + "reason": "Both are training questions, but they target different models and feature requests, not the same bug or change." }, { "left": "issue:6354", "right": "issue:9610", "accept": false, - "reason": "Adding LoRA support for ControlNet is a different change from adding load_lora_weights to SD3 img2img." + "reason": "Both mention LoRA support, but they are different concrete pipeline additions for different models and use cases." }, { "left": "issue:8514", "right": "issue:9415", "accept": false, - "reason": "EMAModel parallel fine-tuning failure and CogVideoX parameter-module errors affect different subsystems and code paths." + "reason": "Different model-specific errors with no shared code path or fix." }, { "left": "issue:10210", "right": "issue:7054", "accept": false, - "reason": "FluxImg2Img output collapse is unrelated to load_lora_weights mutating a passed state_dict." + "reason": "One is a FluxImg2Img output-quality bug; the other is a LoRA loader mutating the input state_dict." }, { "left": "issue:7575", "right": "issue:8863", "accept": false, - "reason": "Transformer2DModel adanorm shape mismatch is not the same as a generic tuple-has-no-shape AttributeError." + "reason": "Both are shape/attribute errors, but they describe different underlying failures in different components." }, { "left": "issue:1127", "right": "issue:2402", "accept": false, - "reason": "ONNX/DML import traceback is unrelated to Torch being built without CUDA." + "reason": "Different backend/runtime issues: ONNX/DML provider traceback vs PyTorch CUDA-not-enabled assertion." }, { "left": "issue:1207", "right": "issue:1750", "accept": false, - "reason": "Both are symbol/linker errors, but they refer to different missing CUDA-related symbols on different environments." + "reason": "Both are symbol/loading errors, but the symbols, environments, and root causes are different." }, { "left": "issue:10111", "right": "issue:7889", "accept": false, - "reason": "A vague FLUX pipeline bug summary is not the same underlying issue as single_file_utils checkpoint-loading bugs." + "reason": "FLUX pipeline bugs are unrelated to single-file checkpoint loading bugs." }, { "left": "issue:10518", "right": "issue:12781", "accept": false, - "reason": "An SD3 example script problem is unrelated to a Discord login/access issue." + "reason": "Completely unrelated: an SD3 LoRA colab script issue vs a Discord login problem." }, { "left": "issue:4217", "right": "issue:5989", "accept": false, - "reason": "Slow safetensors loading is not the same as a safetensors.torch bug." + "reason": "Related to safetensors broadly, but one is load-time performance and the other is a library bug." }, { "left": "issue:6256", "right": "issue:6452", "accept": false, - "reason": "These are separate feature requests for different pipeline callbacks versus masked-image-latents support." + "reason": "Both are feature requests in pipelines, but they are distinct API additions with different targets." }, { "left": "issue:8700", "right": "issue:8785", "accept": false, - "reason": "Both mention PAG, but they target different model families and different pipeline additions." + "reason": "Both request PAG support, but for different pipelines/models and not the same change." }, { "left": "issue:11432", "right": "issue:13249", "accept": false, - "reason": "torch_dtype='auto' loading behavior is unrelated to a LoRA regression on Z-Image." + "reason": "Unrelated: torch_dtype auto-loading behavior vs a LoRA regression for Z-Image." }, { "left": "issue:10204", "right": "issue:10475", "accept": false, - "reason": "FluxFill inpainting drift over iterations is different from SD3 fine-tuning inference quality mismatch." + "reason": "Both are image-quality complaints, but they concern different pipelines and different contexts." }, { "left": "issue:3978", "right": "issue:4480", "accept": false, - "reason": "Both are MPS-related, but one is img2img not working and the other is a float16 kernel crash; not the same bug." + "reason": "Both involve MPS, but one is img2img not working and the other is a float16 kernel crash." }, { "left": "issue:10085", "right": "issue:7142", "accept": false, - "reason": "LyCORIS batch-inference/skip_guidance_layers runtime error is unrelated to SDXL-lightning inference differing from webui." + "reason": "Different inference problems: LyCORIS batch inference with skip_guidance_layers vs SDXL-lightning output mismatch." }, { "left": "issue:3366", "right": "issue:3450", "accept": false, - "reason": "LoRALinearLayer autocast behavior is unrelated to from_ckpt loading failures." + "reason": "Different bugs: autocast being blocked by LoRALinearLayer vs a from_ckpt regression." }, { "left": "issue:3481", "right": "issue:4668", "accept": false, - "reason": "Different problems: DDIM step-count sensitivity versus weird images from a Kohya-style LoRA." + "reason": "Both are image-quality complaints, but one is scheduler-step determinism and the other is LoRA-style weird outputs." + }, + { + "left": "issue:5693", + "right": "issue:6250", + "accept": false, + "reason": "Both involve VAE loading, but the failure modes and loading paths differ." + }, + { + "left": "issue:10917", + "right": "issue:7365", + "accept": false, + "reason": "Unrelated: a Lumina-2.0 script question vs pooled_prompt_embeds being overwritten." } ] }, @@ -76960,10 +76867,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10798", - "issue:10917", "issue:11437", "issue:12078", "issue:12097", @@ -76979,24 +76885,25 @@ "issue:2501", "issue:2578", "issue:2780", + "issue:2838", + "issue:3026", "issue:3287", "issue:3481", "issue:4598", + "issue:4923", "issue:5006", "issue:5043", "issue:5112", "issue:5433", "issue:5485", - "issue:5693", "issue:5769", - "issue:6250", "issue:6506", "issue:6535", "issue:6790", "issue:6812", + "issue:6821", "issue:7210", "issue:725", - "issue:7365", "issue:7421", "issue:7535", "issue:8233", @@ -77011,8 +76918,6 @@ "issue:9539" ], "soft_pairs": [ - "issue:5693|issue:6250", - "issue:10917|issue:7365", "issue:1273|issue:1704", "issue:2359|issue:725", "issue:2578|issue:4598", @@ -77032,182 +76937,184 @@ "issue:3481|issue:7421", "issue:9306|issue:9539", "issue:10798|issue:12110", + "issue:3026|issue:6821", "issue:1353|issue:1377", "issue:1633|issue:3287", - "issue:2500|issue:2501" + "issue:2500|issue:2501", + "issue:2838|issue:4923" ], - "prepared_review_unit_hash": "4393aa2e43b097c0dd9e2c067a7568d4851e1c0962b656f040a3446b29bb28b9", + "prepared_review_unit_hash": "eda0c1c9dfca8a36c9a179263b396176b736c0f2df725a1c4bdf062fcf88337c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33405, - "estimated_input_tokens": 8352, - "estimated_eval_tokens": 16960 + "serialized_chars": 33672, + "estimated_input_tokens": 8418, + "estimated_eval_tokens": 17092 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These are mostly unrelated issues across different pipelines/features; the soft pairs share only broad vocabulary (e.g. SDXL, VAE, LoRA, device/mixed precision) and do not look like the same underlying bug or change.", - "confidence": 0.71, - "canonical_issue_reason": "If one issue must stand in as the cluster representative, issue 12110 is the most concrete and actionable code-path bug report; however, the set does not form a true duplicate cluster.", + "summary": "The cluster is highly heterogeneous: the items cover unrelated training, inference, import, scheduler, OOM, and API issues, and none of the soft-similarity pairs look like the same underlying bug. No duplicate merge candidate stands out.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster well; the topics are too diverse and the proposed soft pairs are only superficially similar.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 12110 is the strongest standalone report: it names a specific model/component, describes a concrete initialization bug, and is more directly actionable than the broader questions or support-style issues.", + "best_issue_reason": "No issue is a strong global representative for the cluster. If forced, issue:725 is the broadest infrastructure-oriented item, but it still does not cover the rest of the unrelated bugs and feature requests.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:5693", - "right": "issue:6250", - "accept": false, - "reason": "Both mention VAE loading, but one is a generic load error and the other is a specific SDXL single-file KeyError; not the same bug." - }, - { - "left": "issue:10917", - "right": "issue:7365", - "accept": false, - "reason": "A question about a lumina script is unrelated to a pooled_prompt_embeds overwrite bug." - }, { "left": "issue:1273", "right": "issue:1704", "accept": false, - "reason": "Both are general questions, but they concern different topics and code paths." + "reason": "Both are generic questions, but one is about DreamBooth mean loss calculation and the other about attention blocks; different problems." }, { "left": "issue:2359", "right": "issue:725", "accept": false, - "reason": "Img2img latent output support is unrelated to device-mapping/accelerate memory-loading behavior." + "reason": "Latent output_type in img2img is unrelated to adding device maps/accelerate loading support." }, { "left": "issue:2578", "right": "issue:4598", "accept": false, - "reason": "Editable install problems and missing-dependency error messaging are different issues." + "reason": "Editable install failure and missing-dependency error are different failure modes with different fixes." }, { "left": "issue:5769", "right": "issue:8671", "accept": false, - "reason": "Mixed-precision training correctness is not the same as redundant code in an SD3 LoRA script." + "reason": "Mixed-precision training correctness and redundant code in SD3 dreambooth are not the same bug." }, { "left": "issue:7535", "right": "issue:8612", "accept": false, - "reason": "A type-hint incompatibility is unrelated to Pixart-sigma mixed-precision inference errors." + "reason": "Type-hint incompatibility is unrelated to mixed-precision inference behavior." }, { "left": "issue:5433", "right": "issue:8792", "accept": false, - "reason": "Both involve image quality, but one is a scheduler-specific artifact issue and the other is a broad migration quality regression." + "reason": "Both mention image quality, but one is DPM++/SDXL artifacts and the other is migration quality degradation; not the same code-path issue." }, { "left": "issue:6506", "right": "issue:6535", "accept": false, - "reason": "Returning the wrong output type is unrelated to changing the noise scheduler." + "reason": "Output_type='np' return type bug is unrelated to allowing scheduler changes in StableVideoDiffusionPipeline." }, { "left": "issue:6790", "right": "issue:9166", "accept": false, - "reason": "A state_dict key mismatch in training is unrelated to image_processor overlay behavior." + "reason": "Unexpected state_dict key during LCM training is different from image_processor.apply_overlay behavior." }, { "left": "issue:11437", "right": "issue:12078", "accept": false, - "reason": "Training not creating outputs is not the same as a problematic example validation input." + "reason": "Missing training outputs/validation images and a bad example validation input are separate issues." }, { "left": "issue:2780", "right": "issue:6812", "accept": false, - "reason": "Both are LoRA training errors, but they are distinct dtype/mixed-precision failures with different triggers." + "reason": "FP16 unscale error and Q/K/V dtype mismatch are different LoRA training errors." }, { "left": "issue:12097", "right": "issue:13105", "accept": false, - "reason": "VRAM OOM in Wan2.2 and output noise in Wan2.1 are different problems and different pipelines." + "reason": "VRAM OOM at the end and output noise in Wan2.1 are unrelated failure types." }, { "left": "issue:5112", "right": "issue:5485", "accept": false, - "reason": "A shape/type error in ControlNet img2img is unrelated to batch inference slowness." + "reason": "A float tensor size error in SDXL ControlNet img2img is not the same as batch inference being slow." }, { "left": "issue:5043", "right": "issue:725", "accept": false, - "reason": "A request for W\u00fcrstchen LoRA finetuning is not the same as a memory-footprint/device-map feature request." + "reason": "LoRA finetuning support for W\u00fcrstchen is unrelated to device-map/accelerate loading support." }, { "left": "issue:8534", "right": "issue:8673", "accept": false, - "reason": "Wrong logit-normal weighting and missing attention masks are separate SD3 training issues." + "reason": "Wrong logit-normal weighting and missing attention masks in SD3 are distinct training changes." }, { "left": "issue:5006", "right": "issue:8233", "accept": false, - "reason": "One is an end-of-training OOM and the other is an fp16 pipeline error; different symptoms and code paths." + "reason": "BF16 end-of-training OOM in SDXL and fp16 depth-pipeline errors are different bugs." }, { "left": "issue:7210", "right": "issue:8752", "accept": false, - "reason": "An accelerate dispatch attribute error is unrelated to offline single-file loading." + "reason": "Missing named_parameters under load_checkpoint_and_dispatch and offline from_single_file support are separate pipeline-loading issues." }, { "left": "issue:3481", "right": "issue:7421", "accept": false, - "reason": "Scheduler-step sensitivity in SD text2image is not the same as seed handling in StableDiffusionXLKDiffusionPipeline." + "reason": "Different inference steps changing outputs and seed not working in KDiffusion are related only at a high level; they are not the same concrete bug." }, { "left": "issue:9306", "right": "issue:9539", "accept": false, - "reason": "Both are CogVideoX issues, but one is wrong device selection and the other is a float8 index_select runtime error; not the same bug." + "reason": "Wrong device selection in CogVideoX loading is unrelated to float8 index_select kernel failure." }, { "left": "issue:10798", "right": "issue:12110", "accept": false, - "reason": "Flux quantization/device-combination problems are unrelated to UNet1DModel GaussianFourier initialization." + "reason": "Flux quantization/device-combination issues with bitsandbytes are unrelated to UNet1DModel GaussianFourier initialization." + }, + { + "left": "issue:3026", + "right": "issue:6821", + "accept": false, + "reason": "InstructPix2Pix launch/runtime error and caption_column validation error are different training-script problems." }, { "left": "issue:1353", "right": "issue:1377", "accept": false, - "reason": "Combining a training script with a pipeline is unrelated to a missing transformers import." + "reason": "Combining train_unconditional with LDMPipeline is unrelated to the CLIPVisionModelWithProjection import error." }, { "left": "issue:1633", "right": "issue:3287", "accept": false, - "reason": "Optional Karras sigmas in a wrapper pipeline is a different feature than supporting improved DDPM." + "reason": "Karras sigmas in a wrapper pipeline and support for improved DDPM are both feature requests, but they are different changes and not one duplicate change set." }, { "left": "issue:2500", "right": "issue:2501", "accept": false, - "reason": "A specific meta-tensor copy failure is only one symptom among many failing tests, not clearly the same underlying bug." + "reason": "A specific meta-tensor copy error is not the same as a broad set of failures on v0.13.1." + }, + { + "left": "issue:2838", + "right": "issue:4923", + "accept": false, + "reason": "ControlNet pipeline behavior and AudioLDM 2 transcript support are unrelated features." } ] }, @@ -77229,7 +77136,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10729", "issue:10932", @@ -77242,7 +77149,6 @@ "issue:1677", "issue:1889", "issue:2098", - "issue:2838", "issue:2858", "issue:3052", "issue:3065", @@ -77254,9 +77160,9 @@ "issue:3951", "issue:4213", "issue:4353", + "issue:4530", "issue:4584", "issue:4638", - "issue:4923", "issue:5225", "issue:5313", "issue:5371", @@ -77267,6 +77173,7 @@ "issue:5890", "issue:5903", "issue:5947", + "issue:5969", "issue:6136", "issue:6722", "issue:7053", @@ -77280,7 +77187,6 @@ "issue:962" ], "soft_pairs": [ - "issue:2838|issue:4923", "issue:2858|issue:5605", "issue:3052|issue:3638", "issue:3065|issue:5371", @@ -77303,180 +77209,181 @@ "issue:10950|issue:11092", "issue:3149|issue:3481", "issue:3951|issue:6136", - "issue:4353|issue:5903" + "issue:4353|issue:5903", + "issue:4530|issue:5969" ], - "prepared_review_unit_hash": "036cc55e376be401baec1f2e15137f581fb1f5272507da6aa67c0e9f159d6ff5", + "prepared_review_unit_hash": "d2146241ab2043570689170c768896368d1afbb04d225125905ee8ef400122e8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33282, - "estimated_input_tokens": 8321, - "estimated_eval_tokens": 16898 + "serialized_chars": 33181, + "estimated_input_tokens": 8296, + "estimated_eval_tokens": 16848 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is not a duplicate set: the items span many unrelated bugs/features across SDXL, LoRA, schedulers, docs, and model pipelines. None of the soft pairs look like the same underlying issue, so all should be rejected.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue is a good canonical because the cluster is thematically mixed and the soft pairs do not represent true duplicates.", + "summary": "This cluster is highly heterogeneous: the paired items share only broad Diffusers/domain vocabulary and do not describe the same bug or change. None of the soft edges should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single issue is a plausible canonical representative because the cluster mixes unrelated reports across different pipelines, models, and bug classes.", "canonical_pr_reason": null, - "best_issue_reason": "No global best issue: the items cover unrelated problem reports, so choosing one as representative would be misleading.", + "best_issue_reason": "No issue is a strong global canonical because the items are not duplicates; the cluster is too diverse for a single representative issue.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:2838", - "right": "issue:4923", - "accept": false, - "reason": "Different requests: ControlNet pipeline behavior vs AudioLDM 2 transcript/text-to-speech support." - }, { "left": "issue:2858", "right": "issue:5605", "accept": false, - "reason": "Both involve image-related workflows, but one asks for seeding image support in UnCLIP img2img and the other for per-image captions in SDXL DreamBooth." + "reason": "Both are feature requests for different SDXL-related capabilities, not the same underlying problem." }, { "left": "issue:3052", "right": "issue:3638", "accept": false, - "reason": "Versatile Diffusion control request is unrelated to a new Prompt-Free Diffusion pipeline proposal." + "reason": "One is a control feature request; the other is a new pipeline proposal. Different change types and scopes." }, { "left": "issue:3065", "right": "issue:5371", "accept": false, - "reason": "DreamBooth LoRA text-encoder tuning is not the same as adding BLIP inpainting pipeline support." + "reason": "DreamBooth LoRA tuning request vs BLIP inpainting support; unrelated features." }, { "left": "issue:3811", "right": "issue:5313", "accept": false, - "reason": "Both mention LoRA, but one is about load_lora_weights having no effect and the other about fuse/unfuse reversibility; different bugs." + "reason": "Both concern LoRA behavior, but one is loading having no effect and the other is fuse revertibility; different bugs." }, { "left": "issue:5225", "right": "issue:9496", "accept": false, - "reason": "SDXL memory/VRAM forward-pass issue is unrelated to SD3ControlNetModel forward errors." + "reason": "SDXL memory/VRAM issue vs SD3ControlNet forward error; different code paths and failures." }, { "left": "issue:5594", "right": "issue:6722", "accept": false, - "reason": "SDXL LoRA memory-saving fine-tuning is unrelated to using SigLIP as a text encoder." + "reason": "SDXL LoRA memory-saving request vs using SigLIP as text encoder; unrelated enhancements." }, { "left": "issue:5605", "right": "issue:9397", "accept": false, - "reason": "Per-image captions for SDXL DreamBooth and SGMUniform scheduler support for Hyper-LoRAs are different feature requests." + "reason": "Per-image caption support for DreamBooth vs Hyper LoRA scheduler support; different features." }, { "left": "issue:5947", "right": "issue:8577", "accept": false, - "reason": "Diffusion-DPO policy objective discussion is unrelated to differential diffusion in SD3." + "reason": "Policy objective/Diffusion-DPO request vs Differential Diffusion on SD3; not the same bug or change." }, { "left": "issue:10932", "right": "issue:12338", "accept": false, - "reason": "A torch._dynamo recompile-limit issue in HunyuanVideo is not the same as an AutoencoderDC slicing/decoding bug." + "reason": "Torch.compile recompile-limit on HunyuanVideo vs AutoencoderDC VAE slicing bug; unrelated failures." }, { "left": "issue:11885", "right": "issue:13311", "accept": false, - "reason": "Both are LoRA-related, but they affect different Flux model generations and different failure modes (loading bug vs missing LoRA keys)." + "reason": "Different LoRA-loading issues for different Flux model generations and error messages; not one concrete fix." }, { "left": "issue:1677", "right": "issue:2098", "accept": false, - "reason": "Wrong input data type for StableDiffusionPipeline is unrelated to invalid torch.randn argument combinations." + "reason": "Wrong data type passed to StableDiffusionPipeline vs torch.randn argument error; distinct runtime errors." }, { "left": "issue:4584", "right": "issue:5890", "accept": false, - "reason": "A resume-from-checkpoint training bug is not the same as a tokenizer length warning during inference." + "reason": "Training resume checkpoint failure vs tokenizer length warning during inference; not the same issue." }, { "left": "issue:579", "right": "issue:911", "accept": false, - "reason": "Textual inversion config.json lookup failure and Dreambooth bad config are different configuration problems." + "reason": "Textual inversion config file missing vs DreamBooth bad config; both config-related but different components and bugs." }, { "left": "issue:10729", "right": "issue:8463", "accept": false, - "reason": "hook removal AttributeError from delattr is unrelated to a NoneType tokenizer error in InstructP2P-SDXL." + "reason": "Hook removal AttributeError vs tokenizer missing on InstructP2P-SDXL; unrelated AttributeError causes." }, { "left": "issue:4213", "right": "issue:4638", "accept": false, - "reason": "Missing accelerate for from_single_file SDXL loading is unrelated to load_textual_inversion not working on SDXL." + "reason": "SDXL from_single_file without accelerate vs textual inversion on SDXL; different pipeline/setup problems." }, { "left": "issue:1125", "right": "issue:962", "accept": false, - "reason": "Mega inpaint pipeline runtime error and inpaint size limitations are distinct inpaint issues." + "reason": "Inpaint pipeline runtime error vs inpaint pipelines not supporting non-512 sizes; different limitations." }, { "left": "issue:1889", "right": "issue:3336", "accept": false, - "reason": "DPM++ SDE variant request is unrelated to DPM-Solver Multistep inverse scheduler." + "reason": "Scheduler variant request vs inverse scheduler request; related theme but not the same concrete scheduler change." }, { "left": "issue:5656", "right": "issue:9610", "accept": false, - "reason": "Community pipeline LoRA loader support is a different request from adding load_lora_weights to the SD3 img2img pipeline." + "reason": "Community LoRA loader addition vs SD3 img2img LoRA loading support; different targets and implementations." }, { "left": "issue:7053", "right": "issue:7730", "accept": false, - "reason": "UNet3DConditionModel class conditioning bug is unrelated to missing timeout parameters in requests calls." + "reason": "Missing class conditioning in UNet3D vs missing timeout on requests calls; unrelated code paths." }, { "left": "issue:10950", "right": "issue:11092", "accept": false, - "reason": "Broken doc section for accelerate inference is unrelated to empty timesteps in SDXL img2img with SDXL-Turbo." + "reason": "Documentation broken vs empty timesteps in SDXL-Turbo img2img; not the same bug." }, { "left": "issue:3149", "right": "issue:3481", "accept": false, - "reason": "General non-determinism in Diffusers 0.14.0 is not the same as DDIMScheduler producing different images across step counts." + "reason": "Generic nondeterminism report vs DDIM step-dependent image differences; similar symptom, different reported behavior and context." }, { "left": "issue:3951", "right": "issue:6136", "accept": false, - "reason": "UniDiffuser demo NaNs and StableDiffusionPipeline NaNs on Mac CPU are separate model/runtime failures." + "reason": "UniDiffuser NaNs vs StableDiffusionPipeline NaNs on Mac CPU; different models and failure conditions." }, { "left": "issue:4353", "right": "issue:5903", "accept": false, - "reason": "SDXL poor quality is a broad quality complaint, while the other is a specific edge-artifact issue for resolutions not divisible by 32." + "reason": "Poor SDXL image quality vs edge artifacts from non-32-divisible resolutions; different quality problems." + }, + { + "left": "issue:4530", + "right": "issue:5969", + "accept": false, + "reason": "SDXL refiner color artifacts vs DDIM eta=1 NaNs with ZSNR patch; distinct bugs." } ] }, @@ -77498,11 +77405,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10191", "issue:10334", "issue:11047", "issue:11148", + "issue:11275", "issue:11486", "issue:12104", "issue:1314", @@ -77522,13 +77431,11 @@ "issue:3494", "issue:4149", "issue:4361", - "issue:4530", "issue:4631", "issue:4668", "issue:4913", "issue:5374", "issue:5578", - "issue:5969", "issue:6092", "issue:6359", "issue:7021", @@ -77550,10 +77457,10 @@ "issue:9841" ], "soft_pairs": [ - "issue:4530|issue:5969", "issue:11047|issue:9218", "issue:11486|issue:9841", "issue:1919|issue:1923", + "issue:10191|issue:11275", "issue:1314|issue:2844", "issue:9154|issue:9343", "issue:2044|issue:2068", @@ -77575,178 +77482,178 @@ "issue:1611|issue:852", "issue:3494|issue:7142" ], - "prepared_review_unit_hash": "d7eb0124c8f992144be124b1aaa09444d2421cfbe6ba1fe293187ccefddabb44", + "prepared_review_unit_hash": "3bea66e36faf84c178098173ed171a2b778d0813cb8f0fcc8f2805cf1b9fa052", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34131, - "estimated_input_tokens": 8533, - "estimated_eval_tokens": 17322 + "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 pair looks like the same underlying bug or change. The similarities are mostly broad error/artifact wording or shared subsystem names, but the concrete failure modes and code paths differ.", - "confidence": 0.97, - "canonical_issue_reason": "issue:8493 is the strongest standalone bug report here: it is detailed, reproducible, and centered on a concrete loading failure path with useful context for triage.", + "summary": "These items are a grab bag of unrelated bug reports and feature requests across LoRA training, loading/model config, schedulers, ControlNet/PAG, HF_HOME, and platform-specific failures. None of the soft pairs look like the same underlying defect, so I would not merge any of them as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits well: the set is not one coherent duplicate cluster, and the pairs span unrelated code paths and failure modes.", "canonical_pr_reason": null, - "best_issue_reason": "issue:8493 is the best representative issue overall because it has a specific error, substantial reproduction detail, and a clear code-path target.", + "best_issue_reason": "No best issue representative is clear for the same reason; nothing here broadly subsumes the others as the same bug/change.", "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "issue:4530", - "right": "issue:5969", - "accept": false, - "reason": "Both mention image corruption/NaNs, but one is SDXL refiner artifacts and the other is DDIM eta/ZSNR NaNs; different settings and failure modes." - }, { "left": "issue:11047", "right": "issue:9218", "accept": false, - "reason": "Both mention PAG, but one is missing a ControlNet PAG inpaint model in a pipeline and the other is PAG with guess mode; not the same bug." + "reason": "Both mention PAG, but one is about ControlNet PAG inpaint support and the other about PAG guess mode; different requests, not the same bug." }, { "left": "issue:11486", "right": "issue:9841", "accept": false, - "reason": "Training-script xformers enabling is unrelated to a DreamBooth SDXL LoRA TypeError on `use_dora=False`; different code paths." + "reason": "Training-script xformers support and a DreamBooth SDXL LoRA TypeError are unrelated code paths." }, { "left": "issue:1919", "right": "issue:1923", "accept": false, - "reason": "One is a missing Python dependency in a DreamBooth example, the other is missing CUDA libraries in a Dockerfile; same general setup area, different issue." + "reason": "Missing datasets in requirements.txt and missing CUDA libraries in a Dockerfile are different environment/setup problems." + }, + { + "left": "issue:10191", + "right": "issue:11275", + "accept": false, + "reason": "GPU device selection in training and a VAE NoneType addition error are unrelated failures." }, { "left": "issue:1314", "right": "issue:2844", "accept": false, - "reason": "Xformers backward error on Windows is unrelated to an explicit image-embeddings runtime error in StableUnCLIPImg2ImgPipeline." + "reason": "Windows xformers backward error and explicit image-embeddings runtime error are different pipeline problems." }, { "left": "issue:9154", "right": "issue:9343", "accept": false, - "reason": "Both involve model loading, but one is broken VAE PT loading and the other is FLUX loading with `low_cpu_mem_usage=False` and mismatched sizes; different failure paths." + "reason": "Both involve loading models, but one is about VAE PT loading and the other FLUX loading with mismatched sizes; not the same defect." }, { "left": "issue:2044", "right": "issue:2068", "accept": false, - "reason": "A DDP `dtype` attribute error and a `from_pretrained` dtype-conversion complaint are different bugs affecting different layers." + "reason": "A DDP wrapper lacking dtype is not the same as from_pretrained failing to convert model dtype." }, { "left": "issue:3481", "right": "issue:4149", "accept": false, - "reason": "One is scheduler-step-count-dependent image divergence, the other is a batch prompt/negative-prompt tensor dimension mismatch." + "reason": "Different inference outputs with DDIM steps and a tensor dimension mismatch in SemanticStableDiffusion are unrelated." }, { "left": "issue:7636", "right": "issue:8609", "accept": false, - "reason": "Both involve control-related pipelines, but one is about SDXL tile ControlNet usage and the other is a custom hd_painter pipeline with IP-Adapter; not the same defect." + "reason": "ControlNet SDXL tile usage and a custom hd_painter pipeline with IP-Adapter are different integration issues." }, { "left": "issue:8493", "right": "issue:8960", "accept": false, - "reason": "A SD3Transformer2DModel state_dict loading error is unrelated to gradient accumulation being nonfunctional in a training example." + "reason": "SD3Transformer2DModel state_dict loading and gradient accumulation in the basic training example are unrelated." }, { "left": "issue:1709", "right": "issue:3381", "accept": false, - "reason": "ONNX `astype` AttributeError and inpaint discoloration are different bugs with different code paths and symptoms." + "reason": "An ONNX conversion astype error and discolored inpaint batch inference are different bugs." }, { "left": "issue:1931", "right": "issue:4631", "accept": false, - "reason": "Both are numeric/runtime errors, but one is float16 dtype mismatch and the other is a scalar conversion issue in DPMSolverSinglestepScheduler with Karras sigmas." + "reason": "Half-vs-float dtype mismatch in SD2 is unrelated to DPMSolverSinglestepScheduler scalar conversion." }, { "left": "issue:2020", "right": "issue:5374", "accept": false, - "reason": "Converting dance diffusion to diffusers is unrelated to an unexpected `checkpoint_path` argument error." + "reason": "Dance Diffusion conversion failure and an unexpected checkpoint_path argument are different API issues." }, { "left": "issue:4668", "right": "issue:7974", "accept": false, - "reason": "Weird images from a Kohya-style LoRA and bugs in inpaint with IP-Adapter are different pipeline interactions, not the same root cause." + "reason": "Kohya-style LoRA weird images and inpaint with IP-Adapter are not the same underlying change or bug." }, { "left": "issue:4913", "right": "issue:8509", "accept": false, - "reason": "A specific ControlNet OpenPose SDXL model request and a generic ControlNet++ issue are not the same bug/change." + "reason": "Both are about ControlNet-related names, but one is a specific model entry and the other is a broader ControlNet++ topic; no shared bug." }, { "left": "issue:5578", "right": "issue:6359", "accept": false, - "reason": "Missing `model_index.json` is a packaging/loading problem; missing `get_velocity` for EulerDiscreteScheduler is a scheduler API gap." + "reason": "Missing model_index.json and missing get_velocity/add_noise behavior in EulerDiscreteScheduler are unrelated." }, { "left": "issue:11148", "right": "issue:8514", "accept": false, - "reason": "PEFT LoRA config-state handling is unrelated to an EMAModel parallel fine-tuning error in InstructP2P." + "reason": "PEFT adapter flag handling and EMAModel parallel fine-tuning errors are different subsystems." }, { "left": "issue:12104", "right": "issue:13286", "accept": false, - "reason": "An out-of-bounds index error is not the same as torchao quantization unsupported at version >= 0.16.0." + "reason": "An index-out-of-bounds runtime error and unsupported torchao quantization versions are unrelated." }, { "left": "issue:2370", "right": "issue:6092", "accept": false, - "reason": "A feasibility question about LoRA training on 24GB GPUs is unrelated to a LoRA example that fails to train anything." + "reason": "A question about whether LoRA training fits on a 24 GB GPU is not the same as the LoRA example not training anything." }, { "left": "issue:7021", "right": "issue:8441", "accept": false, - "reason": "An import error around HF_HOME is different from infinite recursion in `create_dynamic_module` when HF_HOME is a relative path." + "reason": "HF_HOME import error and infinite recursion from relative HF_HOME are related only by environment variable name, not the same concrete bug." }, { "left": "issue:4361", "right": "issue:8894", "accept": false, - "reason": "A safetensors shared-tensors saving issue and a training-script error are unrelated despite both touching model workflows." + "reason": "Safetensors shared-tensor saving and a training-script error after a new commit are unrelated." }, { "left": "issue:10334", "right": "issue:9768", "accept": false, - "reason": "Both mention NaNs/artifacts, but one is Sana on macOS/MPS with grey images and CPU NaNs, while the other is a torch 2.5 CuDNN SDPA NaN backend issue." + "reason": "MacOS/MPS grey images and CPU NaNs versus torch 2.5 CuDNN SDPA NaNs are different platform-specific failures." }, { "left": "issue:1611", "right": "issue:852", "accept": false, - "reason": "Both are MPS-related, but one is a specific StableDiffusionMegaPipeline regression and the other is an older device_map keyword crash in diffusers." + "reason": "A pipeline regression with stable-diffusion-v1-5 and an MPS device_map keyword error are unrelated." }, { "left": "issue:3494", "right": "issue:7142", "accept": false, - "reason": "Corrupted images across schedulers is not the same as SDXL-lightning inference differing from webui; they point to different reproducibility and scheduler issues." + "reason": "Corrupted images with different schedulers and SDXL-lightning differing from webui are not the same bug." } ] }, @@ -77768,7 +77675,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10790", "issue:11000", @@ -77777,9 +77684,11 @@ "issue:11163", "issue:11661", "issue:12012", + "issue:12047", "issue:124", "issue:12533", "issue:12540", + "issue:13506", "issue:1791", "issue:2107", "issue:2262", @@ -77800,7 +77709,6 @@ "issue:4648", "issue:4720", "issue:5225", - "issue:5371", "issue:5593", "issue:6001", "issue:6157", @@ -77808,7 +77716,6 @@ "issue:6807", "issue:7456", "issue:7535", - "issue:7802", "issue:7842", "issue:8234", "issue:843", @@ -77829,6 +77736,7 @@ "issue:11661|issue:8950", "issue:2844|issue:5225", "issue:4134|issue:7842", + "issue:12047|issue:13506", "issue:10790|issue:9511", "issue:11000|issue:7456", "issue:11136|issue:12540", @@ -77841,181 +77749,180 @@ "issue:4080|issue:4589", "issue:4080|issue:8577", "issue:4194|issue:6001", - "issue:4648|issue:8943", - "issue:5371|issue:7802" + "issue:4648|issue:8943" ], - "prepared_review_unit_hash": "5007b33fd7e8bc997424a198a1c2d47382aba389057bbf552c61667075856764", + "prepared_review_unit_hash": "16438d5c14293bc3d2c8d6b13e3edbddf928d35a5fd418cec615831163d76900", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32933, - "estimated_input_tokens": 8234, - "estimated_eval_tokens": 16724 + "serialized_chars": 32981, + "estimated_input_tokens": 8246, + "estimated_eval_tokens": 16748 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The items are a loose collection of unrelated issues; the soft similarities are mostly superficial title overlap (e.g. offloading, MPS, VRAM, pipeline names) rather than the same underlying bug.", - "confidence": 0.31, - "canonical_issue_reason": "issue:11162 is the most concrete, actionable pipeline bug in the set and has the clearest evidence of related user impact and discussion, though the cluster overall is not a true duplicate group.", + "summary": "This set is not a tight duplicate cluster; it mixes many unrelated issues across different pipelines and subsystems. None of the suggested soft edges look like the same underlying bug/change with enough certainty to merge.", + "confidence": 0.34, + "canonical_issue_reason": "issue:11162 is the most concrete and representative of the few closely related WanImageToVideo reports: it names the pipeline, the offloading failure mode, and has the clearest direct remediation target.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11162 is the best representative issue because it is specific, bug-oriented, and tied to an identifiable code path (WanImageToVideoPipeline offloading).", + "best_issue_reason": "issue:11162 is the strongest issue candidate for triage because it describes a specific runtime problem in a specific code path and appears more actionable than the adjacent Wan latent/argument reports.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:6320", "right": "issue:9298", "accept": false, - "reason": "Different problems: remote model lookup failure vs missing Float8 storage type; only both are runtime errors." + "reason": "Both are remote/model-loading style errors, but they are different failures with different APIs and root causes; not the same bug." }, { "left": "issue:1791", "right": "issue:455", "accept": false, - "reason": "Both are device/backend limitations, but one is UnCLIP on MPS and the other is a generic aten::index.Tensor MPS error; not the same bug." + "reason": "Both are MPS-related compatibility issues, but one is UnCLIPPipeline support and the other is a tensor indexing backend limitation; too broad to merge." }, { "left": "issue:2674", "right": "issue:4159", "accept": false, - "reason": "LoRA dependency packaging issue vs extreme VRAM usage in DiffEdit; unrelated failure modes." + "reason": "One is about missing safetensors dependency for LoRA, the other about extreme VRAM usage in DiffEdit; unrelated problems." }, { "left": "issue:4324", "right": "issue:8234", "accept": false, - "reason": "NoneType iteration in UNet forward vs ip_adapter_scale dict multiplication TypeError; different code paths and root causes." + "reason": "Different TypeErrors in different code paths: unet forward None handling versus ip_adapter_scale dict multiplication." }, { "left": "issue:4403", "right": "issue:6157", "accept": false, - "reason": "Half precision LayerNorm kernel limitation vs IP-Adapter support in ControlNet img2img; not the same issue." + "reason": "Both mention model/runtime failures, but one is a Half LayerNorm backend issue and the other is ip_adapter not working in ControlNet img2img; not the same bug." }, { "left": "issue:4720", "right": "issue:7535", "accept": false, - "reason": "AutoencoderTiny compatibility in image/inpaint pipelines vs a type-hint mismatch; one is runtime functionality, the other typing." + "reason": "AutoencoderTiny pipeline incompatibility is not the same as a type-hint mismatch; one is runtime behavior, the other is typing/API consistency." }, { "left": "issue:5593", "right": "issue:6807", "accept": false, - "reason": "AutoPipeline.from_pipe with ControlNet pipelines vs test collection failures on MPS; unrelated maintenance vs backend test infra." + "reason": "AutoPipeline ControlNet conversion failure and test collection on MPS are different issues affecting different layers." }, { "left": "issue:11661", "right": "issue:8950", "accept": false, - "reason": "Different training bugs: None-valued max_train_steps in flux-control examples vs SD3 LoRA training issue." + "reason": "Both are training bugs, but one is a None handling issue in flux-control examples and the other is an SD3 LoRA training bug; no concrete shared code path." }, { "left": "issue:2844", "right": "issue:5225", "accept": false, - "reason": "StableUnCLIP image embeddings runtime error vs SDXL VRAM exhaustion; same broad area, different failures." + "reason": "StableUnCLIP explicit image-embedding passing and SDXL high-VRAM usage are unrelated." }, { "left": "issue:4134", "right": "issue:7842", "accept": false, - "reason": "ControlNet tensor size mismatch on MPS vs DeepFloyd stage-2 size mismatch when image size is not divisible by 8; similar symptom only, different pipelines." + "reason": "Both involve tensor-size problems, but they concern different pipelines and different mismatch scenarios." + }, + { + "left": "issue:12047", + "right": "issue:13506", + "accept": false, + "reason": "Wan2.2 GGUF LoRA fusion failure and Sage attention ring-attention failure are distinct backend/compatibility problems." }, { "left": "issue:10790", "right": "issue:9511", "accept": false, - "reason": "Both mention ControlNet and batching/offload themes, but one is Flux ControlNet CPU offload VRAM usage and the other is SDXL multi-controlnet batching." + "reason": "Both involve ControlNet/offload/batching themes, but one is CPU offload VRAM usage and the other is multi-controlnet batching; not the same change." }, { "left": "issue:11000", "right": "issue:7456", "accept": false, - "reason": "WanImageToVideoPipeline missing shift argument is a pipeline API bug; 'Missing raise statement' is a code-quality/validation issue." + "reason": "WanImageToVideo missing shift argument is unrelated to a generic missing raise statement." }, { "left": "issue:11136", "right": "issue:12540", "accept": false, - "reason": "SanaSprint timestep support constraint vs SanaCombinedTimestepGuidanceEmbeddings compatibility with SanaPipeline; related model family but different concrete bugs." + "reason": "SCM intermediate timesteps support in SanaSprintPipeline and SanaCombinedTimestepGuidanceEmbeddings in SanaPipeline are different Sana issues." }, { "left": "issue:11162", "right": "issue:11163", "accept": false, - "reason": "Same WanImageToVideoPipeline family, but one is offloading support and the other is broken latent math; distinct fixes." + "reason": "Same pipeline family, but offloading support and latent-preparation math are different concrete bugs with different fixes." }, { "left": "issue:12012", "right": "issue:12533", "accept": false, - "reason": "Wan 2.2 first-block cache context error vs CPU offload/context-parallel hook conflicts; both touch infrastructure, but not the same code-path problem." + "reason": "Wan 2.2 context error with first-block cache and hooks conflicts between context parallelism and CPU offload are related only broadly by Wan/offload behavior, not the same issue." }, { "left": "issue:124", "right": "issue:2961", "accept": false, - "reason": "General training dataset documentation request vs StableUnCLIP training example request; both documentation topics, not duplicates." + "reason": "Dataset creation documentation request and StableUnCLIP training example request are both docs, but they are distinct requests." }, { "left": "issue:2107", "right": "issue:3948", "accept": false, - "reason": "Low-resolution glitchy/black images vs pale generated images; both image-quality complaints, but different observed artifacts and likely causes." + "reason": "Low-resolution black/glitchy images and pale generated images are different output-quality problems with different causes." }, { "left": "issue:2262", "right": "issue:3883", "accept": false, - "reason": "Both are user help questions about LoRA/realistic vision, but they are about different usage problems." + "reason": "LoRA usage help and realistic vision in dreambooth are not the same topic or bug." }, { "left": "issue:3171", "right": "issue:843", "accept": false, - "reason": "LPW prompt support request vs prompt syntax documentation request; adjacent documentation topics, not the same change." + "reason": "LPW prompt support for controlnet and prompt syntax documentation are separate documentation/feature requests." }, { "left": "issue:4080", "right": "issue:4589", "accept": false, - "reason": "SDXL inpainting feature request vs ControlNet img2img/inpaint XL support issue; both ask for pipelines, but not the same pipeline work." + "reason": "SDXL inpainting pipeline request and XL ControlNet img2img/inpaint pipeline request overlap in area but are different feature requests." }, { "left": "issue:4080", "right": "issue:8577", "accept": false, - "reason": "Inpainting pipeline request vs differential diffusion support; different features and implementation targets." + "reason": "Inpainting pipeline request and Differential Diffusion with SD3 are unrelated feature requests." }, { "left": "issue:4194", "right": "issue:6001", "accept": false, - "reason": "Single-file VAE problem in StableDiffusionPipeline vs from_single_file returning the wrong XL pipeline type; different loading bugs." + "reason": "StableDiffusionPipeline.from_single_file VAE issue and refiner returning the wrong pipeline are different single-file loading bugs." }, { "left": "issue:4648", "right": "issue:8943", "accept": false, - "reason": "Missing config.json in a local model directory vs shared-library load failure installing main branch; both installation/config issues, but unrelated causes." - }, - { - "left": "issue:5371", - "right": "issue:7802", - "accept": false, - "reason": "BLIP inpainting support request vs OLSS scheduler support request; both feature requests, but different subsystems and changes." + "reason": "Missing config.json in a local directory and missing libtorch_cuda_cu.so after installing main are different environment/setup failures." } ] }, @@ -78037,7 +77944,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", "issue:1061", @@ -78048,7 +77955,6 @@ "issue:1801", "issue:1896", "issue:2024", - "issue:2202", "issue:2392", "issue:2439", "issue:2772", @@ -78061,7 +77967,7 @@ "issue:4593", "issue:4885", "issue:5112", - "issue:5284", + "issue:5371", "issue:5463", "issue:5703", "issue:5972", @@ -78076,6 +77982,7 @@ "issue:7681", "issue:775", "issue:7757", + "issue:7802", "issue:8523", "issue:8546", "issue:8551", @@ -78089,6 +77996,7 @@ "issue:9941" ], "soft_pairs": [ + "issue:5371|issue:7802", "issue:5989|issue:9248", "issue:6320|issue:8551", "issue:3194|issue:4557", @@ -78111,181 +78019,180 @@ "issue:1896|issue:2439", "issue:1061|issue:175", "issue:10887|issue:7264", - "issue:1439|issue:1801", - "issue:2202|issue:5284" + "issue:1439|issue:1801" ], - "prepared_review_unit_hash": "ff66da48bc30d95214508367c34d37c21ea6a8bec907fb3896e76e0b60eefba0", + "prepared_review_unit_hash": "b0c0e8bb8f2814b9ca93300ade7a1341a30d973529c4fc4a78eb06358d8553a0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34167, - "estimated_input_tokens": 8542, - "estimated_eval_tokens": 17340 + "serialized_chars": 34142, + "estimated_input_tokens": 8536, + "estimated_eval_tokens": 17328 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is noisy and heterogeneous: it mixes unrelated CUDA/device, import, scheduler, LoRA, documentation, and feature-request issues. None of the soft pairs look like the same underlying bug or change, so all are rejected.", - "confidence": 0.96, - "canonical_issue_reason": "No single canonical issue is a safe choice; the items span many unrelated bugs and feature requests rather than one duplicate thread.", + "summary": "This cluster is a broad mix of unrelated issues (GPU selection, scheduler bugs, import/runtime errors, LoRA loading, docs, and model-specific feature requests). None of the soft-edge pairs look like the same underlying bug or change, so there is no clear canonical issue/PR here.", + "confidence": 0.99, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "No strong global representative exists; any issue pick would be arbitrary because the cluster is not centered on one concrete problem.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5371", + "right": "issue:7802", + "accept": false, + "reason": "Different topics: BLIP inpainting support request vs OLSS scheduler support request; both are feature asks, not the same change." + }, { "left": "issue:5989", "right": "issue:9248", "accept": false, - "reason": "Both are install/package-related, but one is a safetensors bug and the other is an upgrade command issue; not the same underlying problem." + "reason": "Different installation/package problems: a safetensors.torch bug vs a pip install command issue." }, { "left": "issue:6320", "right": "issue:8551", "accept": false, - "reason": "Remote model lookup failure vs VAE device-map latent placement bug; different code paths and symptoms." + "reason": "Both mention remote/model loading, but one is Emu2 remote model resolution and the other is inpaint VAE device placement; not the same bug." }, { "left": "issue:3194", "right": "issue:4557", "accept": false, - "reason": "bitsandbytes metadata/install failure is unrelated to the __getattr__ AttributeError." + "reason": "Unrelated errors: bitsandbytes package metadata missing vs a __getattr__ AttributeError." }, { "left": "issue:9613", "right": "issue:9731", "accept": false, - "reason": "A specific timesteps API regression and a general how-to/training question are not duplicates." + "reason": "Different subjects: timesteps.scale attribute error vs how to train a LoRA on Playground2.5." }, { "left": "issue:4885", "right": "issue:5112", "accept": false, - "reason": "Both touch SDXL ControlNet img2img, but one is LoRA loading and the other is a float/shape construction error; different bugs." + "reason": "Both are SDXL ControlNet-related, but one is LoRA weight loading and the other is a torch.Size float shape error; different code paths." }, { "left": "issue:5703", "right": "issue:9181", "accept": false, - "reason": "DDIM inverse reconstruction vs a visual noise dot artifact are not the same failure." + "reason": "Different inference bugs: DDIM inverse noise reconstruction vs a visible noise dot artifact in ControlNet." }, { "left": "issue:7191", "right": "issue:9331", "accept": false, - "reason": "Generic import trouble is unrelated to the FlowMatchEuler scheduler index logic bug." + "reason": "Different import/scheduler problems: a strange import problem vs FlowMatchEulerDiscreteScheduler index_for_timestep logic." }, { "left": "issue:7681", "right": "issue:9941", "accept": false, - "reason": "An OpenSSL/import environment error is not the same as a general Colab runtime failure report." + "reason": "Both are import/runtime failures, but the underlying causes differ completely: OpenSSL symbol missing vs colab stable diffusion error." }, { "left": "issue:2772", "right": "issue:5463", "accept": false, - "reason": "Train script dataset handling and an UnboundLocalError in image latents are different code-path bugs." + "reason": "Different training-script bugs: local dataset validation in train_controlnet.py vs image_latents unbound variable." }, { "left": "issue:4122", "right": "issue:7041", "accept": false, - "reason": "Both are inference-related, but wrong timestep count and segmentation fault are distinct issues." + "reason": "Different scheduler/runtime failures: wrong timesteps count in SDXL pipelines vs a segmentation fault after num_inference_steps > 1." }, { "left": "issue:7616", "right": "issue:8523", "accept": false, - "reason": "Low-denoise artifacts in Playground 2.5 are not the same as a CUDA error in Playground." + "reason": "Different symptoms and scope: low-denoise artifacts in Playground 2.5 img2img vs a generic playground CUDA error." }, { "left": "issue:10191", "right": "issue:7757", "accept": false, - "reason": "GPU selection going to the wrong device is different from multi-GPU OOM behavior." + "reason": "Both are GPU/memory-related training issues, but one is wrong GPU device selection and the other is multi-GPU OOM; not the same bug." }, { "left": "issue:11962", "right": "issue:9134", "accept": false, - "reason": "A GGUF model support request and Flux LoRA training issues are unrelated." + "reason": "Different model families and problems: FLUX.1-Kontext-dev GGUF support vs Flux LoRA compatibility with SimpleTuner." }, { "left": "issue:2392", "right": "issue:6793", "accept": false, - "reason": "prompt_embeds validation in img2img is unrelated to hydra serialization failures." + "reason": "Different failure modes: img2img prompt_embeds validation bug vs Hydra model serialization." }, { "left": "issue:2024", "right": "issue:351", "accept": false, - "reason": "A corrupted notebook file and a CUDA loading issue are unrelated." + "reason": "Unrelated notebook corruption vs model not loading directly into CUDA." }, { "left": "issue:4213", "right": "issue:775", "accept": false, - "reason": "Missing accelerate for from_single_file is not the same as fp16/autocast behavior." + "reason": "Different issues: from_single_file() needing accelerate vs fp16/autocast behavior." }, { "left": "issue:4529", "right": "issue:7054", "accept": false, - "reason": "Both concern LoRA loading, but one is an unexpected keyword and the other mutates the passed state_dict; not the same bug." + "reason": "Both involve LoRA helpers, but one is an unexpected keyword argument and the other mutates/empties the passed state_dict; different defects." }, { "left": "issue:4593", "right": "issue:5972", "accept": false, - "reason": "LoRA rank conversion failure vs documentation about Min-SNR weighting are unrelated." + "reason": "Different LoRA/documentation problems: rank limit failure for Automatic1111 LoRA vs Min-SNR weighting docs for controlnet training." }, { "left": "issue:8546", "right": "issue:8556", "accept": false, - "reason": "Both mention SD3/from_single_file, but one is missing support and the other is a meta-tensor load error; not the same fix." + "reason": "Both concern SD3/from_single_file, but one is missing support and the other is a meta-tensor copy error; not the same underlying bug." }, { "left": "issue:1896", "right": "issue:2439", "accept": false, - "reason": "A shape/type error in CLIP-guided diffusion and an inpainting pipeline loading issue are different failures." + "reason": "Different pipelines and errors: CLIP guided SD size dict type error vs inpainting pipeline loading/running issues." }, { "left": "issue:1061", "right": "issue:175", "accept": false, - "reason": "Documentation update for a notebook and a question about torch.manual_seed are unrelated." + "reason": "Different content entirely: example instruction update vs questioning torch.manual_seed usage." }, { "left": "issue:10887", "right": "issue:7264", "accept": false, - "reason": "Importing a missing trainer symbol is not the same as serializing/loading a custom transformers model." + "reason": "Both are import/serialization related, but one is missing StableDiffusionXLTrainer and the other is custom transformers model serialization/loading." }, { "left": "issue:1439", "right": "issue:1801", "accept": false, - "reason": "A missing transformers attribute and a bad getattr argument type are different attribute errors." - }, - { - "left": "issue:2202", - "right": "issue:5284", - "accept": false, - "reason": "Two feature requests in different areas (OpenVINO vs ControlNet-LLLite) are not duplicates." + "reason": "Both are attribute-style import errors, but one is transformers FeatureExtractionMixin missing and the other is a generic getattr() attribute name type error." } ] }, @@ -78307,13 +78214,11 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10198", "issue:1033", "issue:10448", - "issue:11036", - "issue:11351", "issue:11418", "issue:11580", "issue:11648", @@ -78323,6 +78228,7 @@ "issue:175", "issue:2024", "issue:2068", + "issue:2202", "issue:2775", "issue:2883", "issue:3184", @@ -78337,6 +78243,7 @@ "issue:5037", "issue:525", "issue:5256", + "issue:5284", "issue:5432", "issue:5515", "issue:5685", @@ -78359,6 +78266,7 @@ "issue:9241" ], "soft_pairs": [ + "issue:2202|issue:5284", "issue:2883|issue:7408", "issue:4888|issue:5432", "issue:5968|issue:9241", @@ -78381,181 +78289,180 @@ "issue:7267|issue:8578", "issue:10198|issue:11418", "issue:11648|issue:8997", - "issue:10448|issue:11580", - "issue:11036|issue:11351" + "issue:10448|issue:11580" ], - "prepared_review_unit_hash": "3b71930541d7cd85d174a53f84733f6bc9406fc38a408a636dfe01882be7cd19", + "prepared_review_unit_hash": "e192abd99c3de38b8bb27209495a1b87b07443a0a76b07edac548b5131c09cb7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33497, - "estimated_input_tokens": 8375, - "estimated_eval_tokens": 17006 + "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": "These items do not form a coherent duplicate cluster; the soft pairs are mostly weak keyword matches across different models, pipelines, and bug types, so all candidate links should be rejected.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue is a clear canonical target here; the set is heterogeneous and the pairings are only superficially similar.", + "summary": "The cluster is mostly a grab-bag of unrelated diffusers support questions and bugs. None of the soft pairs look like true duplicates or mergeable same-change PRs, so all soft edges are rejected.", + "confidence": 0.94, + "canonical_issue_reason": "Use issue 11580 as the anchor only because it is the broadest open FLUX/fp8-related topic in an otherwise heterogeneous cluster; it is not a true duplicate of the others.", "canonical_pr_reason": null, - "best_issue_reason": "No issue cleanly represents the cluster overall; even the closest FLUX/fp8 items are about different underlying requests or failures.", + "best_issue_reason": "Issue 11580 is the best representative by breadth and activity: it is open, central to the recurring FLUX/fp8 theme, and more useful as a cluster anchor than the narrower, one-off bug reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2202", + "right": "issue:5284", + "accept": false, + "reason": "Different feature requests in different subsystems: OpenVINO support vs ControlNet-LLLite support." + }, { "left": "issue:2883", "right": "issue:7408", "accept": false, - "reason": "Both are pipeline-related, but one is a general image-to-video pipeline request and the other is a specific FRESCO pipeline topic; different underlying change." + "reason": "Both are pipeline ideas, but they target different pipelines and different changes." }, { "left": "issue:4888", "right": "issue:5432", "accept": false, - "reason": "One is about offline safetensors loading, the other about blank validation images; unrelated bugs." + "reason": "Offline safetensors loading and blank validation images are unrelated problems." }, { "left": "issue:5968", "right": "issue:9241", "accept": false, - "reason": "Both mention conversion scripts, but the conversion targets are different and not the same code path." + "reason": "ONNX conversion request is unrelated to converting an XLab LoRA to diffusers LoRA." }, { "left": "issue:6359", "right": "issue:8645", "accept": false, - "reason": "Different missing API/functionality reports in different modules; not the same defect." + "reason": "Scheduler velocity/noise bug and missing single_file_utils helper are different code-path issues." }, { "left": "issue:7054", "right": "issue:8975", "accept": false, - "reason": "One is a mutation bug in LoRA loading, the other is an import error for the mixin; different failure modes." + "reason": "LoRA state_dict mutation and an import error for LoraLoaderMixin are not the same bug." }, { "left": "issue:1323", "right": "issue:2068", "accept": false, - "reason": "Both involve dtype, but one is a flax loading requirement and the other is about dtype conversion in from_pretrained; not the same issue." + "reason": "Both mention dtype/loading, but one is a Flax missing-dtype loader failure and the other is about from_pretrained conversion semantics." }, { "left": "issue:1566", "right": "issue:5829", "accept": false, - "reason": "Both are training-script crashes, but the causes are unrelated and in different LCM/Dreambooth paths." + "reason": "Dreambooth fp16 checkpoint crash and LCM missing config argument are separate training failures." }, { "left": "issue:8970", "right": "issue:9224", "accept": false, - "reason": "Both involve MPS, but one is black-image output and the other is an unsupported float64 dtype; distinct bugs." + "reason": "Both involve MPS, but black-image output is not the same as a hardcoded float64 device incompatibility." }, { "left": "issue:3700", "right": "issue:5037", "accept": false, - "reason": "Different training-script problems with different arguments and code paths." + "reason": "Different training-script issues: min_snr handling vs validation_image argument behavior." }, { "left": "issue:7548", "right": "issue:9096", "accept": false, - "reason": "Both concern bad outputs, but one is flicker in Animate Diff and the other is NaNs in Flux half precision; not the same bug." + "reason": "AnimateDiff flicker and Flux half-precision NaNs are different model/runtime symptoms." }, { "left": "issue:5515", "right": "issue:5685", "accept": false, - "reason": "One is a concrete missing-scheduler initialization failure; the other is a broad scheduler discussion, not a matching defect." + "reason": "Both mention schedulers, but one is a pipeline init failure and the other is a broader scheduler discussion without the same concrete bug." }, { "left": "issue:1304", "right": "issue:3377", "accept": false, - "reason": "A how-to training question and an SNR weighting question are not duplicates." + "reason": "A training how-to question and an SNR weighting optimization question are not duplicates." }, { "left": "issue:175", "right": "issue:3207", "accept": false, - "reason": "Completely different topics: seed usage in example code vs attention implementation behavior." + "reason": "Manual seed usage and attention implementation compatibility are unrelated." }, { "left": "issue:2024", "right": "issue:525", "accept": false, - "reason": "Different notebooks and different failure modes; no shared underlying bug." + "reason": "Corrupted notebook file vs local image loading in a notebook are different failures." }, { "left": "issue:2775", "right": "issue:4210", "accept": false, - "reason": "A torch._dynamo runtime error and an attention_mask API question are unrelated." + "reason": "TorchDynamo non-function error and UNet attention_mask usage are different implementation questions." }, { "left": "issue:3730", "right": "issue:4312", "accept": false, - "reason": "One is a timestep bug in inpainting blending; the other is a feature request about SAG support." + "reason": "Wrong timestep in inpainting blending and SAG support for inpainting/img2img are distinct issues." }, { "left": "issue:4708", "right": "issue:9147", "accept": false, - "reason": "Both mention import/error contexts, but they concern different FLUX/autopipeline code paths." + "reason": "Import error in diffusers.utils and Flux autopipeline error are unrelated." }, { "left": "issue:5256", "right": "issue:5905", "accept": false, - "reason": "Both ask for new model support, but for different models and different training stacks." + "reason": "Different model-support requests: Insta-Flow training vs diffusion-GAN." }, { "left": "issue:1033", "right": "issue:3184", "accept": false, - "reason": "Different pipelines and different errors; only broad stable-diffusion context overlaps." + "reason": "IndexError in stable_diffusion_mega and generator-list support in lpw_stable_diffusion are not the same bug." }, { "left": "issue:7267", "right": "issue:8578", "accept": false, - "reason": "Local data loading failure vs meta-tensor copy failure; unrelated bugs." + "reason": "Broken local data loading in train_controlnet and meta-tensor copy failure in sd_turbo are different problems." }, { "left": "issue:10198", "right": "issue:11418", "accept": false, - "reason": "Both reference FLUX and weights, but one is a mismatch problem and the other is how to add an fp8 checkpoint." + "reason": "Both are FLUX-related, but weight mismatch in Flux.1-dev is not the same as adding a specific fp8 safetensors file." }, { "left": "issue:11648", "right": "issue:8997", "accept": false, - "reason": "Different models and different problem types; not the same underlying issue." + "reason": "LoRA loading with fp8 transformer weights and an EDMDPMSolverMultistepScheduler error in Kolors are unrelated." }, { "left": "issue:10448", "right": "issue:11580", "accept": false, - "reason": "A file-loading/mmap feature request is unrelated to FP8 FLUX support." - }, - { - "left": "issue:11036", - "right": "issue:11351", - "accept": false, - "reason": "Different model-specific questions about latent conditioning vs processor dtype; not duplicates." + "reason": "DDUF mmap loading and FLUX fp8 model support are different feature requests." } ] }, @@ -78577,11 +78484,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10052", "issue:10715", "issue:11023", + "issue:11036", + "issue:11351", "issue:11436", "issue:1160", "issue:12613", @@ -78613,11 +78522,9 @@ "issue:5574", "issue:5630", "issue:5897", - "issue:6016", "issue:6079", "issue:6183", "issue:6359", - "issue:6560", "issue:6661", "issue:7053", "issue:7591", @@ -78628,6 +78535,7 @@ "issue:9731" ], "soft_pairs": [ + "issue:11036|issue:11351", "issue:1160|issue:5245", "issue:2737|issue:4559", "issue:3612|issue:7921", @@ -78650,181 +78558,180 @@ "issue:6661|issue:9731", "issue:11436|issue:12632", "issue:4480|issue:7842", - "issue:5630|issue:8450", - "issue:6016|issue:6560" + "issue:5630|issue:8450" ], - "prepared_review_unit_hash": "2e1b5ec9a9258f1f0475cc19bfb968e986a2119623393f86ff58f4fe110b6752", + "prepared_review_unit_hash": "42870251d830053399a450637258bd913e98f25dbfe44aec4692abd5dc8325bf", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33576, - "estimated_input_tokens": 8394, - "estimated_eval_tokens": 17044 + "serialized_chars": 33570, + "estimated_input_tokens": 8393, + "estimated_eval_tokens": 17042 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly false-positive similarity: the issues span unrelated bugs, feature requests, loader failures, dtype mismatches, and pipeline-specific rendering problems. None of the soft pairs look like the same underlying defect/change.", - "confidence": 0.87, - "canonical_issue_reason": null, + "summary": "The cluster is heterogeneous: most pairs share only broad wording around image-generation failures, dtype issues, or pipeline behavior, but they do not describe the same underlying bug/change. No soft duplicate edges are strong enough to merge.", + "confidence": 0.76, + "canonical_issue_reason": "issue:12632 is the clearest concrete bug report in the set: it names a specific pipeline, a reproducible failure, and an explicit dtype mismatch error, making it the best representative anchor for the cluster\u2019s runtime-failure theme.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:12632 is the strongest issue to keep as the representative one because it is specific, reproducible, and directly describes the failure mode rather than asking a general question or reporting a vague symptom.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11036", + "right": "issue:11351", + "accept": false, + "reason": "Different model/code paths and different problems: latent-condition operations question vs Wan i2v float32 dtype behavior." + }, { "left": "issue:1160", "right": "issue:5245", "accept": false, - "reason": "Both describe hangs, but one is a pytest custom-pipeline freeze and the other is an import-stage freeze in pipenv; different code paths and symptoms." + "reason": "Both mention hanging/freezing, but one is a pytest hang in a custom-pipeline test while the other freezes at import in pipenv; not the same bug." }, { "left": "issue:2737", "right": "issue:4559", "accept": false, - "reason": "Both are prompt/scheduler-adjacent feature requests, but CLIP guidance support and long weighted prompt support are distinct changes." + "reason": "Separate feature requests: scheduler CLIP guidance support vs long weighted prompt support." }, { "left": "issue:3612", "right": "issue:7921", "accept": false, - "reason": "Both mention ControlNet/IP-Adapter controls, but one asks for a reference ControlNet setup and the other for guidance start/end parameters; not the same fix." + "reason": "Different ControlNet/IP-Adapter feature questions; no shared concrete bug or fix path." }, { "left": "issue:4921", "right": "issue:5433", "accept": false, - "reason": "Both concern SDXL image quality, but one is refiner erasing details and the other is DPM++ artifacts without the refiner; different underlying behavior." + "reason": "Both concern SDXL image quality, but one is refiner erasing details and the other is DPM++ artifacts without refiner; too different to treat as the same bug." }, { "left": "issue:3363", "right": "issue:5897", "accept": false, - "reason": "Both are training failures, but one is a machine-dependent failure in Dreambooth LoRA training and the other is a concrete cpu/cuda device mismatch." + "reason": "Both are training failures, but they involve different scripts and different error modes; not one underlying defect." }, { "left": "issue:4826", "right": "issue:8233", "accept": false, - "reason": "Both are pipeline errors, but ControlNet Reference/MultiControlNet errors and Depth pipeline fp16 errors are unrelated failures." + "reason": "Different pipeline errors: MultiControlNet reference handling vs fp16 depth pipeline failure." }, { "left": "issue:1677", "right": "issue:2228", "accept": false, - "reason": "Wrong dtype when calling StableDiffusionPipeline is a different bug from not loading the pipe onto GPU during from_pretrained." + "reason": "Wrong datatype on pipeline call vs pipeline not loading onto GPU; different failure classes." }, { "left": "issue:13256", "right": "issue:5022", "accept": false, - "reason": "A packaging/version-compatibility complaint is not the same as a missing name import error in diffusers." + "reason": "Dependency/version compatibility question vs a specific import-time NameError; not the same issue." }, { "left": "issue:10052", "right": "issue:6359", "accept": false, - "reason": "A syntax error on ctx and a missing scheduler method/get_velocity issue are unrelated." + "reason": "Syntax error on ctx is unrelated to the scheduler velocity/helper-function bug." }, { "left": "issue:10715", "right": "issue:11023", "accept": false, - "reason": "Both produce bad images, but black images on ROCm for Kolors and blurry images in a custom SDXL pipeline are different model/path failures." + "reason": "Both are image-quality reports, but they concern different models and symptoms (black images on ROCm vs blur on a custom SDXL pipeline)." }, { "left": "issue:12752", "right": "issue:13429", "accept": false, - "reason": "Both are image-edit related, but one requests img2img/inpainting support for Z-Image and the other asks to add a specific model; not the same change." + "reason": "Feature request for Z-Image img2img/inpainting vs request to add a different model; not a duplicate bug." }, { "left": "issue:1717", "right": "issue:3767", "accept": false, - "reason": "Offline cache loading and FrozenDict mutability are unrelated issues." + "reason": "Offline cache loading failure and FrozenDict mutability are unrelated." }, { "left": "issue:2518", "right": "issue:5070", "accept": false, - "reason": "Missing xformers support in an example and adding only_mid_control/sd_locked flags are separate example changes." + "reason": "Different feature additions in different examples; no shared concrete change." }, { "left": "issue:4305", "right": "issue:5143", "accept": false, - "reason": "torch.compile graph breaks and tiny output differences from the same input are different problems." + "reason": "torch.compile graph break is unrelated to tiny numerical differences in UNet outputs." }, { "left": "issue:4419", "right": "issue:7053", "accept": false, - "reason": "Offset noise not used in SDXL inference and UNet3D class conditioning are different feature gaps." + "reason": "Different model features and behavior gaps: offset noise inference vs missing class conditioning in UNet3DConditionModel." }, { "left": "issue:4605", "right": "issue:6079", "accept": false, - "reason": "An inpaint/long-prompt pipeline error is not the same as a half-vs-float scalar type mismatch." + "reason": "Inpaint-model error with long-prompt weighting vs a generic Half/Float dtype mismatch; too broad and not the same code path." }, { "left": "issue:5143", "right": "issue:5574", "accept": false, - "reason": "Numerical non-determinism in UNet output is unrelated to LoRA training of attention parameters." + "reason": "Numerical-output drift vs training a subset of UNet attention parameters; unrelated." }, { "left": "issue:12613", "right": "issue:13350", "accept": false, - "reason": "A nan-in-latent bug in Wan 2.2 i2v is unrelated to a how-to question for FLUX.2 batch inference." + "reason": "Wan i2v latent NaNs and FLUX.2 batch inference usage are different topics." }, { "left": "issue:6183", "right": "issue:7591", "accept": false, - "reason": "Shape mismatch from from_single_file and a local_files_only HeaderTooLarge load error are different loader issues." + "reason": "Different loading failures: shape mismatch from_single_file vs offline local file header error." }, { "left": "issue:6661", "right": "issue:9731", "accept": false, - "reason": "OOM during MPS training at certain image sizes is not the same as a general Playground2.5 LoRA training usage question." + "reason": "Training OOM on specific image sizes vs a how-to question about LoRA training; not duplicates." }, { "left": "issue:11436", "right": "issue:12632", "accept": false, - "reason": "Both are dtype mismatch errors, but they involve different models and different execution contexts; too broad to treat as one bug." + "reason": "Both are dtype mismatch crashes, but they involve different models/pipelines and different concrete mismatch pairs, so they are not safely the same bug." }, { "left": "issue:4480", "right": "issue:7842", "accept": false, - "reason": "MPS kernel crash with float16 and a tensor size mismatch in DeepFloyd stage 2 are unrelated failures." + "reason": "MPS float16 kernel crash on Mac M1 vs stage-2 tensor size mismatch for non-8-divisible images; different root causes." }, { "left": "issue:5630", "right": "issue:8450", "accept": false, - "reason": "Both mention noisy SDXL outputs, but one is an LMS scheduler artifact and the other is noise at strength=1.0 in inpainting; not the same code path." - }, - { - "left": "issue:6016", - "right": "issue:6560", - "accept": false, - "reason": "A conversion script torch.Size() issue and a LoRA shape-size regression are not the same defect." + "reason": "Both mention SDXL noise, but one is LMS scheduler leftover noise in img2img and the other is inpainting noise at strength 1.0; too different to merge." } ] }, @@ -78846,7 +78753,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10514", @@ -78860,7 +78767,6 @@ "issue:11148", "issue:11561", "issue:1160", - "issue:1195", "issue:12108", "issue:12308", "issue:12540", @@ -78877,7 +78783,6 @@ "issue:2941", "issue:3101", "issue:3116", - "issue:3162", "issue:3184", "issue:3799", "issue:4305", @@ -78892,12 +78797,15 @@ "issue:5595", "issue:5760", "issue:5951", + "issue:6016", + "issue:6560", "issue:660", "issue:8989", "issue:9220", "issue:984" ], "soft_pairs": [ + "issue:6016|issue:6560", "issue:1974|issue:3184", "issue:1064|issue:1961", "issue:2549|issue:2728", @@ -78920,181 +78828,180 @@ "issue:10768|issue:11145", "issue:10772|issue:12308", "issue:11047|issue:9220", - "issue:11561|issue:13430", - "issue:1195|issue:3162" + "issue:11561|issue:13430" ], - "prepared_review_unit_hash": "350a22f467637a3ac6baf1818484c6b5ebaece60267fcb3c4d6fe3b47091a647", + "prepared_review_unit_hash": "a84b24640423d036ad3e35f282a650b52dddb8faf16c7b10139837fc0f4eeb2a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33748, - "estimated_input_tokens": 8437, - "estimated_eval_tokens": 17130 + "serialized_chars": 33750, + "estimated_input_tokens": 8438, + "estimated_eval_tokens": 17132 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is not a duplicate cluster: the items span many unrelated bugs, feature requests, and training examples, and the soft pairs are mostly title-similarity false positives. No safe canonical issue/PR emerges.", - "confidence": 0.95, - "canonical_issue_reason": "No single issue is a safe canonical because the set mixes unrelated topics (scheduler bugs, pipeline support requests, model-loading errors, training examples, and backend portability issues).", + "summary": "This cluster is mostly a grab bag of unrelated Diffusers issue reports. The soft pairs are only superficially similar by shared keywords like pipeline, scheduler, or model loading, but they point to different code paths, models, or features. No PRs are present.", + "confidence": 0.31, + "canonical_issue_reason": "Issue #2799 is the best umbrella representative because it is the broadest general bug report around model/pipeline compatibility and overlaps the most with the cluster\u2019s recurring loading/runtime themes.", "canonical_pr_reason": null, - "best_issue_reason": "No issue is globally suitable as the best representative; none covers the heterogeneous set or unifies the underlying code path.", + "best_issue_reason": "#2799 is the most generally useful issue to anchor the cluster, but it still does not truly unify the rest of the reports into one duplicate bug.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6016", + "right": "issue:6560", + "accept": false, + "reason": "Both mention shape-related failures, but one is a conversion utility bug and the other is a LoRA regression; different code paths and symptoms." + }, { "left": "issue:1974", "right": "issue:3184", "accept": false, - "reason": "Both mention generator lists, but one is a scheduler reproducibility bug and the other is a community pipeline issue; different code paths." + "reason": "Both involve generator lists, but one is scheduler reproducibility and the other is a community pipeline-specific failure." }, { "left": "issue:1064", "right": "issue:1961", "accept": false, - "reason": "No meaningful overlap beyond generic runtime errors." + "reason": "Completely unrelated: one is an LMSDiscreteScheduler add_noise error, the other is a ColossalAI integration error." }, { "left": "issue:2549", "right": "issue:2728", "accept": false, - "reason": "One is an UNet compatibility problem, the other is safetensors loading for UNet; distinct failures." + "reason": "Both are model-loading failures, but one is an SD2 UNet compatibility problem and the other is safetensors loading in from_pretrained." }, { "left": "issue:2941", "right": "issue:4767", "accept": false, - "reason": "Same scheduler family, but one reports undesired SD outputs and the other asks for prediction_type support; not the same bug." + "reason": "Same scheduler family, but one reports bad outputs in Stable Diffusion while the other asks for prediction_type sample support; not the same bug." }, { "left": "issue:10636", "right": "issue:8989", "accept": false, - "reason": "Different pipelines and different failure modes." + "reason": "Different components entirely: value_guided_sampling.py versus Stable Audio sequential offloading." }, { "left": "issue:487", "right": "issue:660", "accept": false, - "reason": "Both involve M1, but one is StableDiffusionPipeline on CPU and the other is fp16 on MPS; different issues." + "reason": "Both are Apple/M1-related, but one is StableDiffusionPipeline on M1 CPU and the other is fp16 revision/dtype handling on MPS." }, { "left": "issue:11148", "right": "issue:12108", "accept": false, - "reason": "PEFT adapter state handling vs a scheduler/flow-matching pipeline break; unrelated." + "reason": "PEFT adapter state tracking is unrelated to the Qwen/Chroma flow-matching scheduler breakage." }, { "left": "issue:4332", "right": "issue:984", "accept": false, - "reason": "xformers backend failure and a large-batch interpolation bug are unrelated." + "reason": "Unrelated bugs: xformers support in kandinsky2.2 versus a large-batch F.interpolate failure." }, { "left": "issue:5046", "right": "issue:5760", "accept": false, - "reason": "Completely different model/paper support requests with no shared code path." + "reason": "Different projects and domains; no shared code path or change." }, { "left": "issue:5274", "right": "issue:5436", "accept": false, - "reason": "Training dtype mismatch vs ControlNet XL example failure; separate problems." + "reason": "Both are training errors, but they concern different examples and different failure modes." }, { "left": "issue:1160", "right": "issue:5595", "accept": false, - "reason": "A test hang is unrelated to the image size divisibility validation error." + "reason": "A test hang and an image size validation error are not the same underlying bug." }, { "left": "issue:1083", "right": "issue:3116", "accept": false, - "reason": "FP16 ONNX correctness and KDPM2 image2image noise behavior are different bugs." + "reason": "FP16 ONNX correctness and KDPM2DiscreteScheduler img2img noise are unrelated." }, { "left": "issue:4305", "right": "issue:5570", "accept": false, - "reason": "torch.compile graph breaks and a missing training_utils symbol are not the same issue." + "reason": "A torch.compile graph break and a missing compute_snr helper are distinct issues." }, { "left": "issue:2221", "right": "issue:2412", "accept": false, - "reason": "Both are generic training errors, but the model/pipeline contexts and root causes differ." + "reason": "Generic ColossalAI mention is not enough; one report is a ColossalAI error and the other is DreamBooth-related." }, { "left": "issue:1544", "right": "issue:3799", "accept": false, - "reason": "Missing get_velocity at runtime vs incorrect type inference for from_pretrained; different code paths." + "reason": "Both mention DDPMScheduler, but one is a missing get_velocity method and the other is a typing issue from from_pretrained." }, { "left": "issue:3101", "right": "issue:5951", "accept": false, - "reason": "Different training examples/models and different reported failures." + "reason": "ControlNet training example failure and PixArt training are different workflows and bugs." }, { "left": "issue:2439", "right": "issue:2799", "accept": false, - "reason": "Inpainting pipeline loading/running issue is not the same as an explicit checkpoint-pipeline mismatch check." + "reason": "Both are about pipeline/model loading, but the inpainting pipeline report is not clearly the same mismatch bug as the explicit checkpoint-vs-pipeline validation issue." }, { "left": "issue:10010", "right": "issue:5578", "accept": false, - "reason": "Both mention model_index.json, but one is a remote 404 for FLUX Fill and the other is a local-path/package-name OSError." + "reason": "Both mention model_index.json, but one is a missing file on a specific FLUX repo URL and the other appears to be a different OSError context." }, { "left": "issue:10514", "right": "issue:12540", "accept": false, - "reason": "Both are Sana-related, but resolution binning/sample_size and combined timestep guidance embeddings are distinct problems." + "reason": "Same Sana family, but one is resolution binning/sample_size support and the other is embedding compatibility with SanaPipeline." }, { "left": "issue:10768", "right": "issue:11145", "accept": false, - "reason": "Negative prompt support request vs Flux Fill LoRA/dreambooth support are unrelated." + "reason": "Different features entirely: negative prompt support for Hunyuan video versus FLUX Fill finetuning support." }, { "left": "issue:10772", "right": "issue:12308", "accept": false, - "reason": "Sana ControlNet support and flash-attn kernel support are different feature requests." + "reason": "Sana ControlNet support and flash-attn kernel support are unrelated feature requests." }, { "left": "issue:11047", "right": "issue:9220", "accept": false, - "reason": "Both are PAG-related, but they target different pipelines and different bugs." + "reason": "Both touch PAG/controlnet wording, but one is a missing ControlNet PAG inpaint model and the other is an undefined variable in a PAG pipeline." }, { "left": "issue:11561", "right": "issue:13430", "accept": false, - "reason": "IP-Adapter support for FluxFillPipeline is unrelated to JoyAI-Image-Edit support." - }, - { - "left": "issue:1195", - "right": "issue:3162", - "accept": false, - "reason": "Memory-efficient attention fp16 behavior is unrelated to missing learned_classifier_free_sampling_embeddings." + "reason": "Different pipelines and different requested features; no evidence of the same bug." } ] }, @@ -79116,9 +79023,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1083", + "issue:1195", "issue:12037", "issue:1205", "issue:12053", @@ -79129,10 +79037,10 @@ "issue:1909", "issue:1931", "issue:201", - "issue:2331", "issue:2414", "issue:2844", "issue:2857", + "issue:3162", "issue:3198", "issue:3441", "issue:3494", @@ -79154,7 +79062,6 @@ "issue:5645", "issue:6028", "issue:660", - "issue:6688", "issue:6801", "issue:6914", "issue:7428", @@ -79168,6 +79075,7 @@ "issue:9813" ], "soft_pairs": [ + "issue:1195|issue:3162", "issue:12037|issue:12053", "issue:1205|issue:4436", "issue:1284|issue:1486", @@ -79191,151 +79099,156 @@ "issue:2414|issue:6801", "issue:3441|issue:3660", "issue:3494|issue:3980", - "issue:1083|issue:542", - "issue:2331|issue:6688" + "issue:1083|issue:542" ], - "prepared_review_unit_hash": "9d91dff09bba063c1b2443236ebfe3351808c1b138b321d75fadb18bacb22245", + "prepared_review_unit_hash": "4e251a4044f0dcf829299fc51ea4271818ae4d59713201e455fc663f446d051e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 33625, - "estimated_input_tokens": 8407, - "estimated_eval_tokens": 17070 + "serialized_chars": 33696, + "estimated_input_tokens": 8424, + "estimated_eval_tokens": 17104 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No soft edge looks like a true duplicate. The candidates span different bugs/features and broad subsystems (conversion, schedulers, LoRA loading, performance, docs, and pipeline behavior), so this set does not form a single duplicate cluster.", - "confidence": 0.98, - "canonical_issue_reason": null, + "summary": "This cluster is a grab bag of semantically similar but mostly unrelated issues; none of the soft edges look like true duplicates, so all should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue cleanly represents this heterogeneous set; if one must be chosen, issue:1931 is the most detailed concrete bug report with a clear runtime error and repro context.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:1931 is the strongest standalone issue candidate because it has a specific failure mode, substantial reproduction detail, and a clearly actionable bug report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1195", + "right": "issue:3162", + "accept": false, + "reason": "Both involve fp16-related behavior, but one is memory-efficient attention with fp16 weights and the other is a missing expected embedding argument; different code paths and failure modes." + }, { "left": "issue:12037", "right": "issue:12053", "accept": false, - "reason": "Different model families and failure modes: WanTransformer3DModel compatibility vs Flux1.Dev Kohya LoRA text-encoder support." + "reason": "Both mention model/LoRA compatibility, but they concern different models and different breakages, so they are not the same underlying bug." }, { "left": "issue:1205", "right": "issue:4436", "accept": false, - "reason": "Both involve conversion, but one is ONNX export and the other is converting a CIVITAI safetensors checkpoint to diffusers; not the same bug." + "reason": "Both are about model conversion workflows, but one is SD-to-ONNX conversion and the other is CIVITAI safetensors to diffusers; distinct tasks and issues." }, { "left": "issue:1284", "right": "issue:1486", "accept": false, - "reason": "Batch-size slowdown is a performance concern, while DDIMScheduler prediction_type='sample' is a scheduler correctness bug." + "reason": "Batch-size slowdown and DDIMScheduler prediction_type behavior are unrelated bugs." }, { "left": "issue:1535", "right": "issue:2844", "accept": false, - "reason": "Image Variation Pipeline feature request is unrelated to explicit image-embedding runtime errors in StableUnCLIPImg2ImgPipeline." + "reason": "Image variation pipeline support and explicit image-embedding runtime errors are different feature/bug requests." }, { "left": "issue:1909", "right": "issue:4483", "accept": false, - "reason": "Generator-list handling in pipelines is unrelated to SDXL generator determinism." + "reason": "Both mention generators, but one is a scheduler API mismatch for list vs single generator, while the other is nondeterminism in SDXL; not the same defect." }, { "left": "issue:201", "right": "issue:4416", "accept": false, - "reason": "Test attention class vs T2I Adapter tests are different test targets, not the same issue." + "reason": "These are both testing-related, but they target different components and do not describe the same bug or change." }, { "left": "issue:2857", "right": "issue:7428", "accept": false, - "reason": "UniDiffuser support request is unrelated to layer diffusion support request." + "reason": "Both are feature requests for support of different methods/models, not duplicates." }, { "left": "issue:3198", "right": "issue:4911", "accept": false, - "reason": "Textual inversion safetensors loading differs from custom text_encoder loading in from_single_file." + "reason": "Textual inversion loading and custom text_encoder loading are separate loader problems." }, { "left": "issue:4075", "right": "issue:4308", "accept": false, - "reason": "Docstring typo in ShapEImg2ImgPipeline is unrelated to a guidance_scale default/documentation mismatch in SDXL." + "reason": "These are both docstring issues, but they concern different pipelines and different documentation mistakes." }, { "left": "issue:4217", "right": "issue:7785", "accept": false, - "reason": "Both mention slow loading, but one is safetensors load time generally and the other is very slow first inference in diffusers 0.27.x." + "reason": "Both are performance/loading complaints, but one is safetensors loading and the other is first-inference slowdown in a later version; different likely causes." }, { "left": "issue:5598", "right": "issue:5633", "accept": false, - "reason": "_modify_text_encoder bug and transformer_temporal.py bug affect different code paths." + "reason": "These are bugs in different implementation files with no clear shared code path or identical failure." }, { "left": "issue:7428", "right": "issue:7670", "accept": false, - "reason": "Layer diffusion support request is unrelated to the IDDPM usage question." + "reason": "One asks for layer diffusion support, the other asks how to use IDDPM; different requests." }, { "left": "issue:8393", "right": "issue:9297", "accept": false, - "reason": "Checkpoint shard loading slowdown and multiple-LoRA load-time linear growth are different performance problems." + "reason": "Both mention loading time, but one is checkpoint shard loading and the other is multi-LoRA load-time scaling; not the same issue." }, { "left": "issue:8485", "right": "issue:8555", "accept": false, - "reason": "SD3 LoRA support request and SD3 FP8/text-encoder training request are distinct feature asks." + "reason": "LoRA support and FP8/text-encoder training are different SD3 feature requests." }, { "left": "issue:6914", "right": "issue:9813", "accept": false, - "reason": "IP-Adapter-FaceID offload AttributeError is a different bug from batch feature mixing in prepare_ip_adapter_image_embeds." + "reason": "Both are IP-Adapter bugs, but one is an offload-related AttributeError and the other is batch feature mixing; different concrete code-path problems." }, { "left": "issue:6028", "right": "issue:9479", "accept": false, - "reason": "Kandinsky 3.0 OOM is a memory-capacity issue; inpaint mask leakage is a correctness bug in a different pipeline." + "reason": "A Kandinsky OOM error and an inpainting-mask corruption bug are unrelated." }, { "left": "issue:5515", "right": "issue:5645", "accept": false, - "reason": "LCM pipeline init-without-scheduler failure and new core LCM support being broken are related only loosely, but not the same concrete bug." + "reason": "Both involve LCM, but one is pipeline initialization without scheduler and the other is a core support bug; distinct defects." }, { "left": "issue:1931", "right": "issue:660", "accept": false, - "reason": "Both are float16-related, but one is a Stable Diffusion 2 dtype mismatch and the other is an MPS fp16 revision/runtime issue." + "reason": "Both are fp16/float16-related, but they involve different models, platforms, and error conditions; not the same bug." }, { "left": "issue:1284", "right": "issue:5034", "accept": false, - "reason": "Batch-size slowdown is unrelated to checkpoint loading progress-bar display corruption." + "reason": "Batch size affecting sample time and progress bar display during checkpoint loading are unrelated." }, { "left": "issue:1323", @@ -79347,31 +79260,25 @@ "left": "issue:2414", "right": "issue:6801", "accept": false, - "reason": "Missing transformers import when loading from hub is unrelated to scheduler loading errors in diffusers 0.26.0." + "reason": "Missing transformers import and scheduler-loading problem are separate errors." }, { "left": "issue:3441", "right": "issue:3660", "accept": false, - "reason": "Higher VRAM usage under PyTorch 2 without xformers is a different problem from torch.compile incompatibility with LoRA/xformers." + "reason": "Both mention performance and xformers/torch.compile, but one is higher VRAM usage and the other is compile compatibility; different issues." }, { "left": "issue:3494", "right": "issue:3980", "accept": false, - "reason": "Multidiffusion corrupted images with schedulers is not the same as prompt-length differences vs A1111." + "reason": "Both are about output discrepancies, but one is multidiffusion with schedulers and the other is long-prompt divergence from A1111; not the same underlying bug." }, { "left": "issue:1083", "right": "issue:542", "accept": false, - "reason": "FP16 ONNX incorrect output and UNet export-to-ONNX are both ONNX-related, but they describe different export/precision issues and are not clearly the same bug." - }, - { - "left": "issue:2331", - "right": "issue:6688", - "accept": false, - "reason": "A ControlNet pipeline feature request is unrelated to a MotionCntrl feature request." + "reason": "Both involve ONNX, but one is incorrect FP16 ONNX output and the other is a UNet export issue; different bugs and likely different failure points." } ] }, @@ -79393,7 +79300,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10658", "issue:10743", @@ -79405,6 +79312,7 @@ "issue:1655", "issue:1755", "issue:1790", + "issue:2331", "issue:2412", "issue:2480", "issue:2783", @@ -79424,14 +79332,13 @@ "issue:5120", "issue:5166", "issue:543", - "issue:5577", "issue:5687", "issue:5761", "issue:5772", "issue:5905", "issue:6141", + "issue:6688", "issue:6709", - "issue:6793", "issue:6928", "issue:7053", "issue:7240", @@ -79444,6 +79351,7 @@ "issue:9902" ], "soft_pairs": [ + "issue:2331|issue:6688", "issue:2412|issue:5120", "issue:5166|issue:7240", "issue:1655|issue:499", @@ -79466,181 +79374,180 @@ "issue:5050|issue:9241", "issue:12499|issue:12565", "issue:4551|issue:6709", - "issue:10914|issue:8613", - "issue:5577|issue:6793" + "issue:10914|issue:8613" ], - "prepared_review_unit_hash": "625fdfc72d443d7299f0e4c0460aaefb660be3c4dbbe39b14355ab32118f95a7", + "prepared_review_unit_hash": "251591c9449ec4196746f8352b9764eeca62db54217a89e81b2ab2b3d640c78b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32737, - "estimated_input_tokens": 8185, - "estimated_eval_tokens": 16626 + "serialized_chars": 32661, + "estimated_input_tokens": 8166, + "estimated_eval_tokens": 16588 }, "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, training issues, and version/configuration bugs. I would not merge any soft pair as duplicates. There are no PRs in the set; issue:10914 is the best single issue anchor only because it is a concrete open bug report, not because it matches the others closely.", - "confidence": 0.93, - "canonical_issue_reason": "issue:10914 is the most concrete open bug report here, but the cluster is too mixed to support a strong duplicate canonical beyond that.", - "canonical_pr_reason": null, - "best_issue_reason": "issue:10914 is the most actionable open issue, though it still does not represent the rest of the set well.", - "best_pr_reason": null, + "summary": "All provided soft pairs are false positives: the items span unrelated bugs, features, and model/version-specific reports rather than one duplicated underlying issue. No PRs are present.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: the set is heterogeneous, covering unrelated pipelines, training scripts, schedulers, and package/version problems.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No issue is a strong global representative because there is no shared underlying bug/change to anchor deduplication.", + "best_pr_reason": "No PR representative exists because the cluster contains no PRs.", "soft_edge_verdicts": [ + { + "left": "issue:2331", + "right": "issue:6688", + "accept": false, + "reason": "Different feature requests: adding a ControlNet pipeline vs adding MotionCntrl." + }, { "left": "issue:2412", "right": "issue:5120", "accept": false, - "reason": "Both mention DreamBooth training, but one is a generic error and the other is a prior-preservation regression; different bug causes and code paths." + "reason": "Both involve DreamBooth, but one is a general error report and the other is a prior-preservation regression; not the same concrete bug." }, { "left": "issue:5166", "right": "issue:7240", "accept": false, - "reason": "Different model/pipeline problems: unconditional LDM VQVAE scaling vs low-quality output in ImageNet conditional LDM conversion." + "reason": "Different problems in different pipelines/models: VQVAE scaling factor vs low-quality conversion output." }, { "left": "issue:1655", "right": "issue:499", "accept": false, - "reason": "One is an initialization failure for StableDiffusionImageVariationPipeline, the other is an unconditional training script failure." + "reason": "Unrelated: pipeline initialization failure vs an unconditional training script issue." }, { "left": "issue:1655", "right": "issue:543", "accept": false, - "reason": "Initialization bug vs DDP stride warning; not the same underlying issue." + "reason": "Different subsystems: pipeline init bug vs a DDP gradient-stride warning." }, { "left": "issue:10658", "right": "issue:6928", "accept": false, - "reason": "ONNX Runtime provider_options support and Marigold depthmap colorization are unrelated." + "reason": "Different domains: ONNX Runtime provider options vs a depth-map colorization option." }, { "left": "issue:10743", "right": "issue:9227", "accept": false, - "reason": "Both involve FLUX training, but one asks for ZeRO-3 support and the other reports a run failure with a specific model; not the same bug." + "reason": "Both mention FLUX training, but one is a Zero-3 feature request and the other is a specific script/runtime problem." }, { "left": "issue:3805", "right": "issue:730", "accept": false, - "reason": "Colab subprocess failure vs DreamBooth local/Colab behavior; too broad and not the same defect." + "reason": "Both mention Colab, but the failure modes are different and not the same bug." }, { "left": "issue:4701", "right": "issue:5761", "accept": false, - "reason": "AutoencoderKL float32 CUDA differentiation error is unrelated to the consistency decoder cost discussion." + "reason": "Unrelated: AutoencoderKL CUDA differentiation error vs consistency decoder cost discussion." }, { "left": "issue:5687", "right": "issue:9090", "accept": false, - "reason": "Both mention repeated timesteps, but they are different schedulers and different failure modes, so not a single concrete bug." + "reason": "Different scheduler bugs on different code paths; not clearly the same repeated-timestep defect." }, { "left": "issue:5772", "right": "issue:7053", "accept": false, - "reason": "Dataset backend performance question vs UNet3DConditionModel class conditioning bug; unrelated." + "reason": "Completely unrelated topics: dataset performance vs UNet3D class conditioning." }, { "left": "issue:1608", "right": "issue:2991", "accept": false, - "reason": "Training stopping at 500 steps on T4 is not the same as a mixed-precision ControlNet example failure." + "reason": "Different training issues: step-limit stop on T4 vs mixed-precision ControlNet example failure." }, { "left": "issue:3593", "right": "issue:4972", "accept": false, - "reason": "LoRA/xformers second-call failure and Wuerstchen example runtime failure are different code paths and symptoms." + "reason": "Different example/runtime failures; no shared concrete root cause." }, { "left": "issue:1790", "right": "issue:2480", "accept": false, - "reason": "General training question vs missing checkpoint folder behavior in DreamBooth; not duplicates." + "reason": "A general how-to question vs a DreamBooth checkpoint-folder bug." }, { "left": "issue:12149", "right": "issue:9902", "accept": false, - "reason": "Both are version-related complaints, but one is pip/source alignment and the other is Conda pinning; not the same issue." + "reason": "Both are version complaints, but one is source-vs-pip alignment and the other is a stuck conda version; not the same issue." }, { "left": "issue:1755", "right": "issue:3336", "accept": false, - "reason": "Non-technical/general issue vs scheduler feature request; no duplicate relationship." + "reason": "No meaningful overlap beyond being general issue titles; unrelated content." }, { "left": "issue:2783", "right": "issue:6141", "accept": false, - "reason": "Pipeline creation request vs extra ControlNet parameters; one is much broader and not the same change." + "reason": "Related ControlNet area, but one requests a pipeline and the other asks for extra parameters; not the same change." }, { "left": "issue:3452", "right": "issue:988", "accept": false, - "reason": "Low-VRAM DreamBooth training and FSDP support are different training concerns." + "reason": "Different topics: low-VRAM DreamBooth training vs FSDP support for examples." }, { "left": "issue:3698", "right": "issue:5905", "accept": false, - "reason": "Inpainting model conversion and diffusion-GAN model request are unrelated model-adoption topics." + "reason": "Unrelated model conversion request vs a request for a different model family." }, { "left": "issue:3944", "right": "issue:4241", "accept": false, - "reason": "LoRA rank customization in DreamBooth vs asking for LoRA fine-tuning support in unidiffusers; different requests." + "reason": "Both involve LoRA, but one is a DreamBooth rank option and the other asks about unidiffusers fine-tuning; not the same bug/change." }, { "left": "issue:5050", "right": "issue:9241", "accept": false, - "reason": "Config-change request in LoRA vs conversion script for XLab LoRA; not the same underlying task." + "reason": "Unrelated: LoRA config changing vs a lora conversion script." }, { "left": "issue:12499", "right": "issue:12565", "accept": false, - "reason": "Related Wan I2V area, but one is a specific condition-shape mismatch and the other is a broad running issue for a different version." + "reason": "Same model family, but different versions and different symptoms; not a single duplicate bug." }, { "left": "issue:4551", "right": "issue:6709", "accept": false, - "reason": "SDXL DreamBooth crash vs Custom Diffusion concept-list bug; both are training issues but not the same defect." + "reason": "Different training failures in different methods/models: SDXL DreamBooth crash vs Custom Diffusion concept-list bug." }, { "left": "issue:10914", "right": "issue:8613", "accept": false, - "reason": "Unexpected CPU offload and an OOM from caption_column are different runtime/resource problems." - }, - { - "left": "issue:5577", - "right": "issue:6793", - "accept": false, - "reason": "ControlNet single-file loading KeyError and Hydra serialization failure are unrelated failures." + "reason": "Both are resource-related, but one is unintended CPU offload and the other is an OOM from caption settings; different root causes." } ] }, @@ -79662,7 +79569,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10178", @@ -79675,7 +79582,6 @@ "issue:11315", "issue:11342", "issue:11412", - "issue:11448", "issue:11700", "issue:1399", "issue:1931", @@ -79689,11 +79595,13 @@ "issue:3724", "issue:4386", "issue:459", + "issue:5577", "issue:5907", "issue:5917", "issue:6113", "issue:6686", "issue:672", + "issue:6793", "issue:7002", "issue:7380", "issue:7483", @@ -79708,12 +79616,12 @@ "issue:8803", "issue:8805", "issue:8943", - "issue:9167", "issue:9471", "issue:9670", "issue:9719" ], "soft_pairs": [ + "issue:5577|issue:6793", "issue:1399|issue:5907", "issue:7636|issue:8241", "issue:10178|issue:7002", @@ -79736,181 +79644,180 @@ "issue:3468|issue:7716", "issue:10518|issue:11314", "issue:10640|issue:7483", - "issue:10986|issue:11088", - "issue:11448|issue:9167" + "issue:10986|issue:11088" ], - "prepared_review_unit_hash": "09a24a4931bf05547f1acd790835ab6ed988667546e8dddac0b5822146af957f", + "prepared_review_unit_hash": "0666cb83b724503ce38503df775f4d7145241cd816ab4d6f45cae6b62004cca6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34091, - "estimated_input_tokens": 8523, - "estimated_eval_tokens": 17302 + "serialized_chars": 34127, + "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 highly heterogeneous: it mixes model-loading 404s, MPS/dtype/runtime bugs, conversion-script regressions, and training-example issues. None of the soft pairs look like true duplicates or mergeable fixes; they mostly share only broad subsystem keywords.", - "confidence": 0.27, - "canonical_issue_reason": "issue:1931 is the clearest, most concrete standalone bug report in the set: a specific runtime dtype mismatch with an explicit error message and reproducible inference path.", + "summary": "All soft edges look like false positives. The cluster is a heterogeneous mix of unrelated diffusers issues and feature requests: missing files/404s, dtype and MPS failures, training-script bugs, conversion regressions, and scheduler/API questions.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items do not share one underlying defect, so there is no meaningful duplicate center for the cluster.", "canonical_pr_reason": null, - "best_issue_reason": "issue:1931 has the strongest canonical-triage qualities here: concise title, direct failure mode, and broad user impact on a core Stable Diffusion pipeline path.", + "best_issue_reason": "No single issue is a strong global representative; the reports span different models, scripts, and failure modes rather than one code-path bug.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5577", + "right": "issue:6793", + "accept": false, + "reason": "Different bugs: a checkpoint key error in ControlNet loading vs a Hydra serialization failure." + }, { "left": "issue:1399", "right": "issue:5907", "accept": false, - "reason": "Both are API-compatibility complaints, but one is a model block constructor error and the other is a scheduler argument mismatch; different code paths and fixes." + "reason": "Both are kwarg/API issues, but they hit different components and different parameters." }, { "left": "issue:7636", "right": "issue:8241", "accept": false, - "reason": "One is a usage question about SDXL tile ControlNet, the other is about an abnormal model size; no shared underlying bug." + "reason": "One is a usage question for SDXL ControlNet tile; the other is a model size anomaly for LEDITS++." }, { "left": "issue:10178", "right": "issue:7002", "accept": false, - "reason": "Both mention size-related failures, but one is a 3D block dimension mismatch and the other is an img2img buffer-size blowup; not the same defect." + "reason": "Different runtime failures in unrelated pipelines: 3D block dimension mismatch vs invalid buffer size." }, { "left": "issue:10010", "right": "issue:8943", "accept": false, - "reason": "A missing Hugging Face model file and a CUDA shared-library install error are unrelated failure modes." + "reason": "A missing model file on Hugging Face is not the same as a missing CUDA shared library." }, { "left": "issue:10803", "right": "issue:7380", "accept": false, - "reason": "A feature proposal for SANA variants and an implementation request for one-step diffusion are different changes, not duplicates." + "reason": "A feature proposal for SANARubber is unrelated to implementing one-step diffusion distillation." }, { "left": "issue:11412", "right": "issue:7773", "accept": false, - "reason": "A 404 on a model repo and a batch-size generation bug are unrelated." + "reason": "404 model availability and batch-size generation bugs are different underlying problems." }, { "left": "issue:2843", "right": "issue:6686", "accept": false, - "reason": "Both touch multi-GPU/optimization topics, but one is about checkpoint saving and the other about Dynamo performance after save/load; different bugs." + "reason": "Checkpoint saving in multi-GPU training is distinct from Dynamo compile performance after save/load." }, { "left": "issue:3724", "right": "issue:459", "accept": false, - "reason": "A watermarking feature request and an incremental diffusion idea are separate enhancement proposals." + "reason": "Two separate feature ideas: watermarking vs incremental diffusion." }, { "left": "issue:4386", "right": "issue:672", "accept": false, - "reason": "A question about SDXL LoRA conversion and a ckpt-format conversion request are related only by broad conversion tooling, not the same issue." + "reason": "Different conversion requests with different directions and formats; not the same bug or change." }, { "left": "issue:5917", "right": "issue:6113", "accept": false, - "reason": "One is a regression in a conversion utility after upgrade; the other is a general how-to question about using a repo model." + "reason": "A conversion regression is not the same as a how-to-use question for control collection models." }, { "left": "issue:8588", "right": "issue:8805", "accept": false, - "reason": "Both are conversion-script problems, but they concern different scripts and different missing/incorrect behavior." + "reason": "Different missing-script/regression reports for different conversion tools and model families." }, { "left": "issue:8671", "right": "issue:8803", "accept": false, - "reason": "A cleanup/refactor note in train_dreambooth_lora_sd3.py and a duplicate assignment in attention_processor.py are different files and issues." + "reason": "Redundant training-script code and a duplicate assignment in attention code are unrelated." }, { "left": "issue:2606", "right": "issue:3177", "accept": false, - "reason": "Both involve DeepSpeed training, but one is a save_state hang and the other is stage-3 offloading behavior; not the same bug." + "reason": "Both mention DeepSpeed, but one is a save_state hang and the other is stage-3 offload breakage." }, { "left": "issue:11315", "right": "issue:11342", "accept": false, - "reason": "Both are MPS-related, but they affect different models and have different root causes (float64 rope vs pipeline failure)." + "reason": "Both are MPS-related, but they involve different models and different code paths." }, { "left": "issue:1931", "right": "issue:2340", "accept": false, - "reason": "A float16/float mismatch in Stable Diffusion 2 is not the same as a tiny-pipeline safety-checker error." + "reason": "A float16 type mismatch in Stable Diffusion 2 is unrelated to a tiny pipeline safety-checker error." }, { "left": "issue:11700", "right": "issue:8780", "accept": false, - "reason": "A request to add pruna integration is unrelated to a generic model/input dtype mismatch error." + "reason": "An integration request is not the same as a generic model/input dtype mismatch." }, { "left": "issue:2841", "right": "issue:2905", "accept": false, - "reason": "Both are scheduler-related feature requests, but one asks for temperature sampling and the other for Karras sigmas; separate changes." + "reason": "Both are scheduler feature requests, but they ask for different additions and changes." }, { "left": "issue:8532", "right": "issue:9670", "accept": false, - "reason": "Progressive memory growth while loading LoRA weights is unrelated to a missing PEFT backend dependency error." + "reason": "Memory growth when loading LoRA weights is unrelated to a missing PEFT backend dependency." }, { "left": "issue:9471", "right": "issue:9719", "accept": false, - "reason": "A file-extension inference error and an ignored progress-bar flag are different loading behaviors with different fixes." + "reason": "A file-extension inference error is unrelated to an ignored progress-bar setting." }, { "left": "issue:3468", "right": "issue:7716", "accept": false, - "reason": "Both mention missing model metadata files, but one is about Dreambooth not generating model_index.json and the other is about a directory missing config.json; not the same underlying bug." + "reason": "Both mention missing config files, but they are different files and different failure modes." }, { "left": "issue:10518", "right": "issue:11314", "accept": false, - "reason": "Two separate training-script complaints for different models and scripts; the underlying faults are not shown to be the same." + "reason": "These are unrelated training-script bug reports for different projects/models." }, { "left": "issue:10640", "right": "issue:7483", "accept": false, - "reason": "A multi-GPU FluxInpaintPipeline DataParallel runtime error is unrelated to an SDXL LoRA conversion-script incompatibility." + "reason": "A DataParallel multi-GPU runtime error is unrelated to an SDXL LoRA conversion issue." }, { "left": "issue:10986", "right": "issue:11088", "accept": false, - "reason": "An MPS complex-dtype conversion bug and a wan2.1 gguf load error are different code paths and failure modes." - }, - { - "left": "issue:11448", - "right": "issue:9167", - "accept": false, - "reason": "A missing model repository and an import failure for StableDiffusion3Pipeline are distinct issues." + "reason": "Different code paths and symptoms: MPS complex dtype conversion vs GGUF load failure." } ] }, @@ -79932,10 +79839,11 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10281", "issue:1109", + "issue:11448", "issue:11989", "issue:12108", "issue:1344", @@ -79947,6 +79855,7 @@ "issue:2213", "issue:2659", "issue:2851", + "issue:3348", "issue:337", "issue:3566", "issue:3585", @@ -79974,15 +79883,16 @@ "issue:7735", "issue:7962", "issue:8464", - "issue:8482", "issue:8488", - "issue:8813", + "issue:9167", "issue:9495", "issue:9856", "issue:9861", "issue:9957" ], "soft_pairs": [ + "issue:1109|issue:3348", + "issue:11448|issue:9167", "issue:1375|issue:1495", "issue:11989|issue:9861", "issue:5670|issue:7644", @@ -80005,181 +79915,186 @@ "issue:4484|issue:5433", "issue:5606|issue:7735", "issue:6162|issue:9495", - "issue:6452|issue:7962", - "issue:8482|issue:8813" + "issue:6452|issue:7962" ], - "prepared_review_unit_hash": "39101a2c57fcf63f4eef891a9c5be0d1b0d7c329ce73ec327afb4e6750cdc7aa", + "prepared_review_unit_hash": "30504ef83c4149f8737d7d91b322aca7c15375de177d23d31e6462f08492e51a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33497, - "estimated_input_tokens": 8375, - "estimated_eval_tokens": 17006 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34359, + "estimated_input_tokens": 8590, + "estimated_eval_tokens": 17436 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the soft edges are only title-similarity matches and do not represent the same underlying bug or change. No duplicate group is evident, so there is no meaningful canonical artifact here.", - "confidence": 0.98, - "canonical_issue_reason": "No clear canonical issue: the items span unrelated bugs, feature requests, and pipeline-specific regressions; the soft links are superficial similarity matches.", + "summary": "This cluster is heterogeneous; the soft pairs are superficial matches across unrelated bugs, feature requests, import errors, training issues, and scheduler changes. No duplicate PRs are present.", + "confidence": 0.95, + "canonical_issue_reason": "No true canonical issue: the set spans unrelated topics. If one must be chosen, issue 12108 is the closest scheduler/pipeline regression.", "canonical_pr_reason": null, - "best_issue_reason": "No single issue is a good global representative because the cluster does not share one concrete problem or code change.", + "best_issue_reason": "Issue 12108 is the most concrete and well-scoped bug report among this mixed set, with explicit pipeline/scheduler behavior and discussion.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1109", + "right": "issue:3348", + "accept": false, + "reason": "Different problems: CPU utilization vs LoRA scale/xformers support." + }, + { + "left": "issue:11448", + "right": "issue:9167", + "accept": false, + "reason": "Missing model path vs missing pipeline import; unrelated failures." + }, { "left": "issue:1375", "right": "issue:1495", "accept": false, - "reason": "Both are import-related, but one is a broken diffusers import after a PR and the other is a missing `init_git_repo` symbol; different failures and likely different fixes." + "reason": "Both are import-related, but they concern different symbols and breakages." }, { "left": "issue:11989", "right": "issue:9861", "accept": false, - "reason": "Black inference image vs Flux transformer not updating during training are unrelated symptoms in different code paths." + "reason": "Black inference output vs Flux training not updating transformer; different code paths." }, { "left": "issue:5670", "right": "issue:7644", "accept": false, - "reason": "Both concern image sizing, but one is PixArtAlpha non-square generation and the other is Stable Cascade on non-power-of-2 sizes; not the same bug." + "reason": "Both mention image size/shape, but different pipelines and failure modes." }, { "left": "issue:2659", "right": "issue:6725", "accept": false, - "reason": "Batch-size-dependent output variation is a reproducibility issue; LDMPipeline generation is a feature request, not the same underlying problem." + "reason": "Batch-size variation bug vs a generic LDM pipeline feature request." }, { "left": "issue:4580", "right": "issue:8488", "accept": false, - "reason": "UniPC Karras-sigma exception and StableDiffusion3Pipeline `from_pretrained` failure are different scheduler/model-loading issues." + "reason": "Different pipelines and exception types; not the same concrete bug." }, { "left": "issue:1867", "right": "issue:337", "accept": false, - "reason": "Both involve img2img/inpainting behavior, but one is low-strength scheduler behavior and the other is general inpainting support; not one concrete bug." + "reason": "Both involve img2img, but one is scheduler strength behavior and the other is inpainting/guided usage." }, { "left": "issue:2163", "right": "issue:2213", "accept": false, - "reason": "Dtype mismatch during text-to-image training and TPU distributed hang are separate training-environment problems." + "reason": "Training issues in different environments: dtype mismatch vs TPU hang." }, { "left": "issue:4708", "right": "issue:6079", "accept": false, - "reason": "Import error for `diffusers.utils` and half/float scalar-type mismatch are unrelated code-path failures." + "reason": "Import error vs tensor dtype mismatch; unrelated." }, { "left": "issue:12108", "right": "issue:13446", "accept": false, - "reason": "Flow-matching scheduler breakage in specific pipelines is unrelated to trust validation for `custom_pipeline` loading." + "reason": "Scheduler/flow-matching regression vs custom_pipeline trust check; unrelated." }, { "left": "issue:8464", "right": "issue:9856", "accept": false, - "reason": "CPU-offload seeding failure and distributed port-in-use error are different runtime/environment problems." + "reason": "SEGA seed/offload failure vs distributed port conflict; unrelated." }, { "left": "issue:10281", "right": "issue:9957", "accept": false, - "reason": "FreeScale scheduler request and BDIA-DDIM scheduler request are distinct feature requests for different schedulers." + "reason": "Both are scheduler requests, but for different schedulers and changes." }, { "left": "issue:2851", "right": "issue:3717", "accept": false, - "reason": "TPU `push_to_hub` training issue and multi-GPU OOM are different distributed-training problems." + "reason": "TPU hub-push problem vs multi-GPU OOM; different distributed-training issues." }, { "left": "issue:3585", "right": "issue:5110", "accept": false, - "reason": "LoRA synthesis failure and HFValidationError on repo id are unrelated; one is model loading, the other is hub ID validation." + "reason": "LoRA synthesis failure vs repo-id validation error; unrelated." }, { "left": "issue:1109", "right": "issue:4752", "accept": false, - "reason": "CPU core underutilization and SDXL dtype mismatch are unrelated performance vs type-consistency issues." + "reason": "CPU core usage issue vs SDXL dtype/bias mismatch; unrelated." }, { "left": "issue:3566", "right": "issue:5689", "accept": false, - "reason": "ControlNet reference community pipeline odd results and SDXL DPM++ residual noise are different pipeline/scheduler behaviors." + "reason": "Different image-quality complaints with different features and triggers." }, { "left": "issue:1344", "right": "issue:4042", "accept": false, - "reason": "Multi-GPU attention support and combining reference-only with inpainting/depth are not the same bug or change." + "reason": "Multi-GPU limitation vs pipeline-composition question; unrelated." }, { "left": "issue:4021", "right": "issue:5390", "accept": false, - "reason": "Excess CLIP download in `from_single_file` and text encoder download with `local_files_only=True` are related to loading, but they are separate concrete regressions." + "reason": "Both concern extra SDXL downloads, but different entrypoints and components." }, { "left": "issue:4080", "right": "issue:7962", "accept": false, - "reason": "SDXL inpainting pipeline request and adding `cross_attention_kwargs` to instruct-pix2pix are different feature additions." + "reason": "Feature request for SDXL inpainting vs API enhancement for instruct-pix2pix." }, { "left": "issue:4171", "right": "issue:5246", "accept": false, - "reason": "Docs/reference-page rendering issue and missing `CLIPImageProjection` attribute are unrelated." + "reason": "Docs rendering issue vs missing attribute import error; unrelated." }, { "left": "issue:4484", "right": "issue:5433", "accept": false, - "reason": "SDXL Kohya LoRA artifacts and DPM++ residual noise in SDXL are both quality complaints, but not the same specific defect." + "reason": "Both mention SDXL artifacts, but one is LoRA weirdness and the other is DPM++ residual noise." }, { "left": "issue:5606", "right": "issue:7735", "accept": false, - "reason": "LoRA no-alpha loading bug and caption column not found in dataset training are unrelated training/data issues." + "reason": "LoRA alpha loading bug vs dataset caption column error; unrelated." }, { "left": "issue:6162", "right": "issue:9495", "accept": false, - "reason": "IP-Adapter shape mismatch on SDXL and SDXL PAG with IPAdapter not working are different compatibility problems." + "reason": "Both involve IP-Adapter/SDXL, but the concrete failures differ and are not clearly the same bug." }, { "left": "issue:6452", "right": "issue:7962", "accept": false, - "reason": "Adding `masked_image_latents` to ControlNet inpaint and exposing `cross_attention_kwargs` in instruct-pix2pix are unrelated API requests." - }, - { - "left": "issue:8482", - "right": "issue:8813", - "accept": false, - "reason": "Stable Diffusion 3 support and Differential Diffusion with Kolors are different model/pipeline feature requests." + "reason": "Different API feature requests in different pipelines; not duplicates." } ] }, @@ -80201,10 +80116,11 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10239", "issue:1061", + "issue:10671", "issue:12022", "issue:1477", "issue:1633", @@ -80216,15 +80132,12 @@ "issue:2577", "issue:2782", "issue:2843", - "issue:3029", - "issue:307", "issue:3481", "issue:3580", "issue:3612", "issue:4349", "issue:4414", "issue:4468", - "issue:459", "issue:4677", "issue:4767", "issue:5465", @@ -80233,7 +80146,6 @@ "issue:5760", "issue:5881", "issue:5897", - "issue:5997", "issue:6087", "issue:6132", "issue:6709", @@ -80243,17 +80155,22 @@ "issue:7415", "issue:7728", "issue:776", + "issue:8482", "issue:8708", + "issue:8813", "issue:8885", "issue:8939", "issue:9209", "issue:9398", "issue:9523", + "issue:9660", "issue:9719" ], "soft_pairs": [ + "issue:8482|issue:8813", "issue:8885|issue:9209", "issue:6709|issue:8939", + "issue:10671|issue:9660", "issue:2276|issue:3580", "issue:4414|issue:4468", "issue:5897|issue:7415", @@ -80273,182 +80190,180 @@ "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:2179|issue:3481" ], - "prepared_review_unit_hash": "1b36ac24b54f1e96ebdc8f4f10d1ad4a6b3dfc712aef021f5abd7f4b38ee8d16", + "prepared_review_unit_hash": "30f6c3c3e4bbf443afa789bbf2a2f2e636e4c2f3e02d3055ddc02ae87e69543b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33918, - "estimated_input_tokens": 8480, - "estimated_eval_tokens": 17216 + "serialized_chars": 33962, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is highly heterogeneous: it mixes unrelated bugs, feature requests, docs issues, scheduler problems, training failures, and backend/API mismatches. None of the soft pairs look like the same underlying issue, so there is no strong duplicate cluster here.", - "confidence": 0.95, - "canonical_issue_reason": "No single underlying bug clearly spans these items; if one issue must serve as an anchor, #10239 is the most concrete self-contained runtime/API bug among the mixed set.", + "summary": "This cluster is not a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and model-specific problems. All suggested soft pairs are keyword-similar but do not describe the same underlying change or failure mode.", + "confidence": 0.93, + "canonical_issue_reason": "issue:10671 is the most generally applicable, concrete bug report in the set; it targets a core DiffusionPipeline behavior rather than a narrow model/example-specific edge case.", "canonical_pr_reason": null, - "best_issue_reason": "#10239 is a specific, actionable pipeline compatibility bug with a clear code-path and reproduction surface, making it the best representative issue in this otherwise mixed collection.", + "best_issue_reason": "issue:10671 is the strongest canonical candidate because it describes a clear, reproducible pipeline-level issue with broader impact than the more specialized reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:8482", + "right": "issue:8813", + "accept": false, + "reason": "Different topics: SD3 model support vs Differential Diffusion/Kolors. No shared code-path or fix." + }, { "left": "issue:8885", "right": "issue:9209", "accept": false, - "reason": "Different problems: installing/loading clip-retrieval on Colab vs failing to connect to hf-mirror to download a model." + "reason": "Both involve loading, but one is a Colab/Custom Diffusion installation/token issue and the other is a mirror connectivity problem." }, { "left": "issue:6709", "right": "issue:8939", "accept": false, - "reason": "Custom Diffusion concept-list training bug vs SD3 tokenizer download/load failure; different subsystems and failure modes." + "reason": "Custom Diffusion training/concept-list bug vs SD3 tokenizer loading error; unrelated failures." + }, + { + "left": "issue:10671", + "right": "issue:9660", + "accept": false, + "reason": "Both touch pipeline internals, but one is about dtype/device access determinism and the other about from_pretrained not setting eval mode." }, { "left": "issue:2276", "right": "issue:3580", "accept": false, - "reason": "Sequential CPU offload slowdown is a performance regression; XFormers TypeError is an installation/runtime API error." + "reason": "Sequential CPU offload slowdown vs XFormers TypeError are different bugs and different fix paths." }, { "left": "issue:4414", "right": "issue:4468", "accept": false, - "reason": "Consistency Model sampling request vs multi-GPU vs single-GPU performance difference; unrelated topics." + "reason": "Different subjects: Consistency Model sample request vs multi-GPU sample performance difference." }, { "left": "issue:5897", "right": "issue:7415", "accept": false, - "reason": "LoRA training device-mismatch bug vs AutoencoderKL bf16 TPU issue; different models, devices, and code paths." + "reason": "Training-time device mismatch in LoRA vs AutoencoderKL bfloat16 behavior on TPU; not the same bug." }, { "left": "issue:7728", "right": "issue:9523", "accept": false, - "reason": "SDXL DreamBooth Accelerate error vs controlnet training error mapping across SD3/SDXL/Flux; not the same concrete bug." + "reason": "Both are training-script errors, but they affect different scripts and likely different mapping/config problems." }, { "left": "issue:1477", "right": "issue:1831", "accept": false, - "reason": "CUBLAS GEMM runtime failure vs DreamBooth class-image precision mismatch; distinct errors in different workflows." + "reason": "CUDA cublas runtime failure vs Dreambooth class-image precision mismatch; unrelated failure modes." }, { "left": "issue:2577", "right": "issue:5628", "accept": false, - "reason": "DDIMInverseScheduler not working vs LMS/Karras denoising offset; both scheduler-related but different bugs." + "reason": "DDIMInverseScheduler not working vs LMS/Karras denoising offset issue are distinct scheduler problems." }, { "left": "issue:5760", "right": "issue:7333", "accept": false, - "reason": "Video-to-audio synthesis paper/topic vs image-to-video generation method; unrelated requests." + "reason": "Completely different research tasks: video-to-audio synthesis vs image-to-video generation." }, { "left": "issue:8939", "right": "issue:9719", "accept": false, - "reason": "Tokenizer load failure for SD3 model vs disable_progress_bar being ignored during checkpoint loading; unrelated." + "reason": "Tokenizer load failure vs progress-bar suppression bug are unrelated." }, { "left": "issue:2266", "right": "issue:2782", "accept": false, - "reason": "Offload slowdown vs sequential model offloading error; related wording, but one is performance and the other is a different failure." + "reason": "Both mention offloading, but one is a slowdown and the other is an explicit error; not the same underlying bug." }, { "left": "issue:2437", "right": "issue:6132", "accept": false, - "reason": "Add a T2I-Adapter pipeline vs add LOADABLE_CLASSES support; separate feature requests." + "reason": "Feature request for a T2I-Adapter pipeline vs adding LOADABLE_CLASSES support; different changes." }, { "left": "issue:4677", "right": "issue:7009", "accept": false, - "reason": "Docs script error for text-guided inpainting vs poor results from TextToVideoSDPipeline; different issues entirely." + "reason": "Doc script error in text-guided inpainting vs poor output quality in TextToVideoSDPipeline; unrelated." }, { "left": "issue:4767", "right": "issue:5465", "accept": false, - "reason": "Scheduler prediction_type support request vs DiffEdit inpaint_strength limitation; both parameter-related, but not the same bug/change." + "reason": "Scheduler prediction_type support vs DiffEdit inpaint_strength limitation are different pipeline behaviors." }, { "left": "issue:5630", "right": "issue:5881", "accept": false, - "reason": "SDXL img2img leftover-noise issue vs AnimateDiff underperforming original repo; different pipelines and symptoms." + "reason": "Both are quality complaints, but they concern different pipelines and different suspected causes." }, { "left": "issue:8708", "right": "issue:9398", "accept": false, - "reason": "Missing shift_factor in SD3 dreambooth examples vs missing pooled_projection argument in an embeddings forward call; unrelated." + "reason": "Missing SD3 VAE config field in training examples vs missing pooled_projection argument in an embedding forward path; unrelated." }, { "left": "issue:10239", "right": "issue:12022", "accept": false, - "reason": "HunyuanVideoPipeline sequential CPU offload support vs flash_attention_3 interface incompatibility; different subsystems and fixes." + "reason": "Sequential CPU offload support vs flash-attention-3 interface compatibility are entirely different subsystems." }, { "left": "issue:2843", "right": "issue:6087", "accept": false, - "reason": "Multi-GPU checkpoint saving vs LoRAConfig persistence causing wrong lora_alpha; both involve saving, but not the same bug." + "reason": "Checkpoint saving in multi-GPU training vs LoRA config persistence/lora_alpha loading are not the same bug." }, { "left": "issue:4349", "right": "issue:7357", "accept": false, - "reason": "Upscale pipeline requiring text_encoder despite prompt_embeds vs SDXL slow inference; unrelated API vs performance issues." + "reason": "Pipeline requiring text_encoder despite prompt_embeds vs SDXL inference slowdown with compile/fuse_loras; different problems." }, { "left": "issue:1061", "right": "issue:776", "accept": false, - "reason": "Documentation update for textual inversion vs image-to-image batch_size>1 runtime breakage; docs vs code bug." + "reason": "Documentation update for textual inversion vs img2img batch_size>1 bug; no overlap beyond general pipeline docs." }, { "left": "issue:1633", "right": "issue:3612", "accept": false, - "reason": "karras sigmas support in k_diffusion wrapper vs creating a ControlNet without a model using reference_adain+attn; unrelated feature requests." + "reason": "Scheduler sigma option request vs ControlNet creation/how-to question; unrelated." }, { "left": "issue:2179", "right": "issue:3481", "accept": false, - "reason": "FlaxDDPMScheduler black images vs DDIM step-count sensitivity; both about scheduler output, but not the same defect." - }, - { - "left": "issue:3029", - "right": "issue:5997", - "accept": false, - "reason": "ControlNet custom resolution request vs SDXL tutorial model-type mismatch; different issues despite both touching ControlNet docs." - }, - { - "left": "issue:307", - "right": "issue:459", - "accept": false, - "reason": "Proposal to merge Stable Diffusion pipelines vs incremental diffusion concept; unrelated feature discussions." + "reason": "FlaxDDPMScheduler producing black images vs DDIM step-count inconsistency; different schedulers and symptoms." } ] }, @@ -80470,7 +80385,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10050", "issue:10566", @@ -80494,24 +80409,24 @@ "issue:2737", "issue:2763", "issue:2786", - "issue:3043", - "issue:3065", + "issue:3029", + "issue:307", "issue:3455", "issue:3958", "issue:4111", "issue:4116", "issue:4264", "issue:4282", + "issue:459", "issue:5313", "issue:5523", "issue:5731", - "issue:6132", + "issue:5997", "issue:6313", "issue:6320", "issue:6548", "issue:6616", "issue:6639", - "issue:7043", "issue:7380", "issue:7389", "issue:7432", @@ -80522,6 +80437,8 @@ "issue:9216" ], "soft_pairs": [ + "issue:3029|issue:5997", + "issue:307|issue:459", "issue:4111|issue:4116", "issue:4264|issue:5731", "issue:6616|issue:7380", @@ -80543,182 +80460,162 @@ "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:2763|issue:4282" ], - "prepared_review_unit_hash": "8a3dc3eec7efe495a1720f36e2d6334e09197963222f042871a1275c201f6659", + "prepared_review_unit_hash": "975870b02843fc140d798b73833f65baa222a7b125f327f46e1ac3056be8a04a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33899, - "estimated_input_tokens": 8475, - "estimated_eval_tokens": 17206 + "serialized_chars": 33958, + "estimated_input_tokens": 8490, + "estimated_eval_tokens": 17236 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a single duplicate cluster; it mixes unrelated feature requests and bug reports across many different pipelines/models. None of the proposed soft pairs look like the same underlying issue.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This is a loose similarity cluster around diffusion pipelines and model-loading issues, but the items are not true duplicates of one another. I would not merge any of the soft-edge pairs.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 307 is the broadest umbrella-style topic in the set, but it is still not a concrete duplicate anchor for the others.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 12574 is the most concrete, narrowly scoped bug report in the set, with a clear failing pipeline and specific underlying transformer/control-arg mismatch, but it is not a true canonical for the whole cluster.", + "best_issue_reason": "Issue 307 is the only broad representative, but the cluster is too heterogeneous for a strong canonical issue choice.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3029", + "right": "issue:5997", + "accept": false, + "reason": "Both mention ControlNet/tutorials, but one is about custom resolution and the other is an SDXL config/type-instantiation error." + }, + { + "left": "issue:307", + "right": "issue:459", + "accept": false, + "reason": "A pipeline-merging feature request and an incremental diffusion concept are unrelated underlying changes." + }, { "left": "issue:4111", "right": "issue:4116", "accept": false, - "reason": "Same broad SDXL img2img area, but one is VRAM/loading and the other is embedding input behavior; different bugs." + "reason": "Same pipeline family, but one is a VRAM/load failure and the other is an embeddings-input bug." }, { "left": "issue:4264", "right": "issue:5731", "accept": false, - "reason": "Missing example images is unrelated to the AutoencoderKL logvar implementation bug." + "reason": "Missing example images is unrelated to the AutoencoderKL decoder logvar implementation gap." }, { "left": "issue:6616", "right": "issue:7380", "accept": false, - "reason": "Classifier-guidance support and one-step diffusion distillation are different features with different code paths." + "reason": "Classifier-guidance support and one-step diffusion distillation are different changes with different code paths." }, { "left": "issue:6639", "right": "issue:7432", "accept": false, - "reason": "Both mention output differences, but one is a LoRA loading inconsistency and the other is general diffusers-vs-WebUI image disparity." + "reason": "Both describe output differences, but they point to different models and likely different root causes." }, { "left": "issue:11779", "right": "issue:12574", "accept": false, - "reason": "Wan VACE mask padding and missing control-argument handling are distinct failure modes." + "reason": "Wan/VACE issues, but mask padding and missing control-argument handling are distinct bugs." }, { "left": "issue:2480", "right": "issue:5523", "accept": false, - "reason": "Dreambooth checkpoint folder bug is not the same as general run-to-run inconsistency." + "reason": "Checkpoint-directory naming is unrelated to non-deterministic run-to-run results." }, { "left": "issue:10566", "right": "issue:12071", "accept": false, - "reason": "CogVideoX forward inefficiency and Flux Kontext block behavior changes are unrelated models and code paths." + "reason": "Different transformer models and different problems; no shared concrete bug." }, { "left": "issue:10673", "right": "issue:12025", "accept": false, - "reason": "AuraFlow shape reshape error and Cosmos VAE encoder API error are different pipelines and different root causes." + "reason": "AuraFlow shape mismatch and Cosmos VAE API misuse are unrelated failure modes." }, { "left": "issue:7389", "right": "issue:7640", "accept": false, - "reason": "Both are from_single_file load errors, but they affect different pipelines and appear to stem from different dimension/config problems." + "reason": "Both are SDXL from_single_file issues, but the errors and triggering conditions differ." }, { "left": "issue:11178", "right": "issue:8614", "accept": false, - "reason": "ControlNet single-file config.json absence is a packaging/loading issue, not the MistoLine rank_256 from_single_file bug." - }, - { - "left": "issue:2786", - "right": "issue:6548", - "accept": false, - "reason": "Numpy input compatibility in depth2img and RGBA latent handling are separate img2img edge cases." - }, - { - "left": "issue:11627", - "right": "issue:8539", - "accept": false, - "reason": "SD3 + IP-Adapter support is a feature integration request, while the SD3 transformer issue is a cross-attention bug." - }, - { - "left": "issue:3958", - "right": "issue:5313", - "accept": false, - "reason": "enable_model_cpu_offload behavior and non-revertible LoRA fuse are different LoRA lifecycle problems." - }, - { - "left": "issue:12012", - "right": "issue:12536", - "accept": false, - "reason": "Cache context missing and context-parallel sharding divisibility are distinct Wan 2.2 execution issues." - }, - { - "left": "issue:6320", - "right": "issue:8956", - "accept": false, - "reason": "Emu2 remote model resolution failure is unrelated to OVStableDiffusionXLPipeline model loading." + "reason": "Both involve single-file ControlNet loading, but missing config.json is a different issue than loading a rank_256 ControlNet." }, { "left": "issue:10050", "right": "issue:9216", "accept": false, - "reason": "A question about img2img KDiffusion equivalents is not the same as a custom multi-model pipeline implementation." + "reason": "An img2img KDiffusion pipeline question is not the same change as a multi-model-at-once pipeline implementation." }, { "left": "issue:11010", "right": "issue:13107", "accept": false, - "reason": "Chroma Flux architecture changes and Flux Klein LoRA missing-key errors are not the same bug or change." + "reason": "Flux Chroma architecture support and Flux LoRA missing-key errors are different underlying problems." }, { "left": "issue:1141", "right": "issue:2737", "accept": false, - "reason": "Local file support for custom pipelines is unrelated to CLIP guidance support for a scheduler." + "reason": "Local-file support in custom pipelines is unrelated to scheduler CLIP-guidance support." }, { "left": "issue:1273", "right": "issue:3455", "accept": false, - "reason": "Dreambooth mean-loss calculation and pretrained-in-training are different training concerns." + "reason": "Dreambooth loss calculation and instruct-pix2pix training usage are not the same bug or feature." }, { "left": "issue:1304", "right": "issue:205", "accept": false, - "reason": "Text-guided image-to-image training and interpolation scripts are unrelated example/training requests." + "reason": "Training text-guided img2img and adding interpolation example scripts are different feature requests." }, { "left": "issue:2437", "right": "issue:6313", "accept": false, - "reason": "T2I-Adapter pipeline support and Null-Text Inversion pipeline implementation are separate pipeline feature requests." + "reason": "T2I-Adapter pipeline support and null-text inversion pipeline implementation are distinct additions." }, { "left": "issue:2763", "right": "issue:4282", "accept": false, - "reason": "ControlNet VRAM regression and Multi-ControlNet support are different problems; one is a performance bug, the other a new pipeline." + "reason": "ControlNet VRAM regression and multi-ControlNet support are different concerns, not one duplicate change." }, { - "left": "issue:3043", - "right": "issue:6132", + "left": "issue:2786", + "right": "issue:6548", "accept": false, - "reason": "ODISE support and LOADABLE_CLASSES are unrelated library capabilities." + "reason": "Both touch img2img input handling, but numpy-input incompatibility and RGBA latent misclassification are separate bugs." }, { - "left": "issue:3065", - "right": "issue:7043", + "left": "issue:11627", + "right": "issue:8539", "accept": false, - "reason": "LoRA tuning for DreamBooth and custom captions are distinct training feature requests." + "reason": "SD3 IP-Adapter usage and SD3 cross-attention issues are different code-path problems." } ] }, @@ -80740,19 +80637,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10178", "issue:10191", "issue:10311", "issue:10446", - "issue:10447", - "issue:10823", "issue:10963", - "issue:12895", - "issue:2392", + "issue:2722", "issue:2961", - "issue:3103", + "issue:3043", + "issue:3065", "issue:3191", "issue:3223", "issue:3325", @@ -80773,11 +80668,14 @@ "issue:5432", "issue:5654", "issue:5873", + "issue:6132", "issue:6157", + "issue:6176", "issue:6354", "issue:6359", "issue:656", "issue:6996", + "issue:7043", "issue:7079", "issue:770", "issue:8241", @@ -80785,20 +80683,21 @@ "issue:8824", "issue:8939", "issue:9047", - "issue:917", "issue:9178", "issue:9397", "issue:9424", "issue:9926" ], "soft_pairs": [ + "issue:3043|issue:6132", + "issue:3065|issue:7043", "issue:4756|issue:5432", "issue:6354|issue:9926", "issue:6359|issue:7079", "issue:9047|issue:9178", "issue:10191|issue:10446", "issue:5399|issue:8241", - "issue:10447|issue:10823", + "issue:2722|issue:6176", "issue:10311|issue:10963", "issue:2961|issue:3604", "issue:3191|issue:3960", @@ -80813,182 +80712,180 @@ "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:10178|issue:8405" ], - "prepared_review_unit_hash": "3ad7667bc31392d4d1eaefae87a85985583dbf80bbb743ba97b50084f2f6dd7e", + "prepared_review_unit_hash": "d70bc543d68dfa77f42cfdb378ecb50ac69d179335b6dbece88f639573208289", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34275, - "estimated_input_tokens": 8569, - "estimated_eval_tokens": 17394 + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No soft pair looks like the same underlying bug or change; most are only broadly related by subsystem or symptom. There are no PRs in the set. The best single issue candidate is 10446 because it is an open, detailed, reproducible pipeline incompatibility report.", - "confidence": 0.46, - "canonical_issue_reason": "10446 is the most detailed open bug report and the closest thing to a cluster anchor, but the overall set is mostly unrelated.", + "summary": "This cluster is a heterogeneous mix of unrelated issues, mostly around DreamBooth/LoRA, ControlNet/Flux, import errors, GPU/runtime configuration, and a few example/model-conversion bugs. None of the soft edges look like true duplicates of the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits the cluster: the items span distinct code paths and problem types rather than one shared defect. If forced to pick a representative, issue 10446 is the strongest standalone open bug because it is detailed and active, but it does not subsume the rest.", "canonical_pr_reason": null, - "best_issue_reason": "10446 is the strongest triage candidate: concrete pipeline name, clear incompatibility claim, and active discussion.", + "best_issue_reason": "Issue 10446 is the best global representative only in the sense that it is a concrete, active, well-described bug; however, the cluster is too diverse for it to serve as a true umbrella duplicate.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3043", + "right": "issue:6132", + "accept": false, + "reason": "Different requests: adding ODISE vs adding LOADABLE_CLASSES support. No shared bug or fix path." + }, + { + "left": "issue:3065", + "right": "issue:7043", + "accept": false, + "reason": "Both touch DreamBooth/LoRA-adjacent training, but one asks for a LoRA text-encoder option and the other is about custom captions. Not the same issue." + }, { "left": "issue:4756", "right": "issue:5432", "accept": false, - "reason": "Both are training-script related, but one asks for example support and the other reports blank validation images; different bugs." + "reason": "Training-style support for StableUnCLIP is unrelated to blank validation images in SDXL LoRA training." }, { "left": "issue:6354", "right": "issue:9926", "accept": false, - "reason": "One is ControlNet LoRA support, the other is gguf quantization/speedup support; unrelated feature requests." + "reason": "LoRA support for ControlNet and gguf quantize/speedup support are unrelated feature requests." }, { "left": "issue:6359", "right": "issue:7079", "accept": false, - "reason": "Different code paths and failure modes: scheduler velocity/v-prediction vs Transformer2DModel patch normalization." + "reason": "Scheduler velocity/add_noise behavior is unrelated to Transformer2DModel patch/norm_type layer_norm errors." }, { "left": "issue:9047", "right": "issue:9178", "accept": false, - "reason": "Both mention Flux, but one is an MPS runtime failure and the other is a LoRA train target-modules issue." + "reason": "MPS execution failure for Flux and PEFT target-module errors in Flux LoRA training are different problems in different code paths." }, { "left": "issue:10191", "right": "issue:10446", "accept": false, - "reason": "GPU selection bug vs multi-GPU/model-sharding incompatibility; not the same concrete problem." + "reason": "GPU selection misrouting in training is not the same as FluxControlNetPipeline multi-gpu/model-sharding incompatibility." }, { "left": "issue:5399", "right": "issue:8241", "accept": false, - "reason": "Different runtime errors in different contexts: dtype mismatch during inpainting vs model size/LEDITS++ concern." + "reason": "Custom inpainting dtype mismatch and abnormal LEDITS++ model size are unrelated bugs." }, { - "left": "issue:10447", - "right": "issue:10823", + "left": "issue:2722", + "right": "issue:6176", "accept": false, - "reason": "One is a conversion utility splitting UNet weights; the other is a fine-tuning script missing inference outputs." + "reason": "ControlNet conversion mismatch is unrelated to loading LoRA weights after DreamBooth LoRA training." }, { "left": "issue:10311", "right": "issue:10963", "accept": false, - "reason": "Both are import errors, but they involve different modules and different missing symbols." + "reason": "Import error in train_dreambooth.py and missing AutoencoderKLWan import are different import failures with different causes." }, { "left": "issue:2961", "right": "issue:3604", "accept": false, - "reason": "Training example request vs loss-not-decreasing training issue; not the same bug or change." + "reason": "StableUnCLIP training example request is not the same as loss not decreasing during finetuning." }, { "left": "issue:3191", "right": "issue:3960", "accept": false, - "reason": "LoRA+Dreambooth breakage and LoRA header size errors are different failure modes." + "reason": "DreamBooth+LoRA breakage is not the same as the LoRA HeaderTooLarge serialization issue." }, { "left": "issue:3223", "right": "issue:6157", "accept": false, - "reason": "Memory cleanup after moving to CUDA is unrelated to IP-Adapter not working in ControlNet img2img." + "reason": "Memory not being cleared after moving pipeline to CUDA is unrelated to IP-Adapter not working in ControlNetImg2ImgPipeline." }, { "left": "issue:3325", "right": "issue:4801", "accept": false, - "reason": "CUDA invalid-argument in Dreambooth training is distinct from a mixed-precision bug in unconditional training." + "reason": "CUDA invalid-argument in DreamBooth training and mixed-precision bug in unconditional training are distinct training failures." }, { "left": "issue:3377", "right": "issue:5654", "accept": false, - "reason": "General SNR-weighting question vs specific Min-SNR v-prediction example support; related topic, but not the same issue." + "reason": "A question about SNR weighting optimization is not the same as the Min-SNR v-prediction feature request." }, { "left": "issue:3390", "right": "issue:4665", "accept": false, - "reason": "Local safetensors loading is different from Windows safetensors/bin-file selection behavior." + "reason": "Loading local safetensors and Windows use_safetensors fallback behavior are different file-loading issues." }, { "left": "issue:4969", "right": "issue:5061", "accept": false, - "reason": "ImportError for CrossAttention is unrelated to an argument error in the conversion script." + "reason": "CrossAttention import failure and convert_original_stable_diffusion_to_diffusers config argument error are unrelated import/CLI problems." }, { "left": "issue:5025", "right": "issue:770", "accept": false, - "reason": "Missing randn_tensor import and Colab training startup failure are different issues." + "reason": "Missing randn_tensor import is unrelated to Colab not starting training." }, { "left": "issue:5079", "right": "issue:9397", "accept": false, - "reason": "Both are LoRA-related feature requests, but they target different loading/scheduler behaviors." + "reason": "LoRA loader support for LyCORIS and SGMUniform scheduler support for Hyper-LoRAs are different feature requests." }, { "left": "issue:5112", "right": "issue:6996", "accept": false, - "reason": "Different pipeline errors: float tensor-size construction vs None added_cond_kwargs iteration." + "reason": "A torch.Size float/int construction error in SDXL ControlNet Img2Img is unrelated to a NoneType added_cond_kwargs error." }, { "left": "issue:514", "right": "issue:656", "accept": false, - "reason": "Attention slicing error is not the same as the 16GB Dreambooth training error." + "reason": "Attention slicing runtime error and 16GB DreamBooth training error are not the same bug." }, { "left": "issue:5873", "right": "issue:9424", "accept": false, - "reason": "ONNX export limitation and a broken notebook are unrelated." + "reason": "ONNX export failure for scaled_dot_product_attention is unrelated to the broken DreamBooth LoRA notebook." }, { "left": "issue:8824", "right": "issue:8939", "accept": false, - "reason": "Custom instruct-pix2pix dataset setup and SD3 tokenizer loading are unrelated." + "reason": "Custom instruct-pix2pix dataset support and SD3 tokenizer load failure are different topics." }, { "left": "issue:10178", "right": "issue:8405", "accept": false, - "reason": "Different tensor-size mismatch contexts: 3D UNet block dimensions vs multiple ControlNets." - }, - { - "left": "issue:12895", - "right": "issue:2392", - "accept": false, - "reason": "Both involve None/prompt handling, but they are different pipelines and different triggers." - }, - { - "left": "issue:3103", - "right": "issue:917", - "accept": false, - "reason": "Inpainting height/width handling and ONNX inpainting export errors are different issues." + "reason": "A 3D U-Net dimension mismatch and multiple ControlNets tensor size error are different shape-mismatch reports with different code paths." } ] }, @@ -81010,25 +80907,24 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1070", "issue:11000", "issue:11006", "issue:11470", - "issue:11574", - "issue:11833", + "issue:12895", "issue:13124", - "issue:1434", "issue:1746", "issue:1817", "issue:1821", "issue:1944", + "issue:2392", "issue:2444", "issue:2579", "issue:2737", "issue:3032", - "issue:3097", + "issue:3103", "issue:3287", "issue:3468", "issue:3551", @@ -81056,12 +80952,15 @@ "issue:8535", "issue:8556", "issue:8809", + "issue:917", "issue:9674", "issue:987", "issue:9946", "issue:9962" ], "soft_pairs": [ + "issue:12895|issue:2392", + "issue:3103|issue:917", "issue:4964|issue:671", "issue:11000|issue:9962", "issue:11470|issue:13124", @@ -81084,195 +80983,196 @@ "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:3468|issue:6321" ], - "prepared_review_unit_hash": "3c13516963901c586d3b38b0c6b423b37ba5d85ddb4265635c3f14a1cb5f7b49", + "prepared_review_unit_hash": "d607374e04700579993f0c55c1decde2b5f7fa44931de637eb67a161d41493fe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34230, - "estimated_input_tokens": 8558, - "estimated_eval_tokens": 17372 + "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": "These items are a mixed bag of unrelated Diffusers issues (inpainting, SDXL, DreamBooth, LoRA, schedulers, conversion, etc.). The soft pairs share only broad subsystem similarity or generic wording, not the same concrete bug/change, so none should be merged as duplicates.", - "confidence": 0.97, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous: the items span unrelated bugs, feature requests, and training/model-loading issues. The only near-duplicate pair is the SD3 xformers enablement report. No PRs were provided.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 8535 is the best canonical for the only true duplicate-like theme here: it directly names the SD3 xformers enablement problem and is the more specific representative of that pair.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "Issue 11006 is the strongest standalone issue overall: it has a concrete Wan 2.1 I2V failure mode, a specific pipeline, and a clear bug report that looks actionable on its own.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12895", + "right": "issue:2392", + "accept": false, + "reason": "Both are prompt/embed-related runtime errors, but they affect different pipelines and different failure modes; not the same underlying bug." + }, + { + "left": "issue:3103", + "right": "issue:917", + "accept": false, + "reason": "Both mention inpainting, but one is about height/width handling and the other about ONNX inpainting errors; too different to be duplicates." + }, { "left": "issue:4964", "right": "issue:671", "accept": false, - "reason": "Both concern model conversion, but one is about SDXL conversion and the other about original Stable Diffusion conversion not matching outputs; different bugs and workflows." + "reason": "Both concern model conversion, but one is about SDXL conversion generally and the other about original Stable Diffusion conversion outputs not matching; different bugs." }, { "left": "issue:11000", "right": "issue:9962", "accept": false, - "reason": "Missing shift argument in WanImageToVideoPipeline is unrelated to an unexpected use_cuda_graph keyword error." + "reason": "Both are argument/signature errors, but they involve different APIs and different missing kwargs; not the same code-path problem." }, { "left": "issue:11470", "right": "issue:13124", "accept": false, - "reason": "TensorBoard log image handling in a training script is unrelated to FP16 unscale errors triggered by validation_prompt." + "reason": "Training script issues, but one is about tensorboard log images and the other about FP16 gradient unscale during validation; unrelated failure modes." }, { "left": "issue:2737", "right": "issue:3287", "accept": false, - "reason": "CLIP guidance support for a scheduler is a feature request; improved DDPM support is a separate model request." + "reason": "Both are scheduler-related feature requests, but one is CLIP guidance support and the other is improved DDPM support; not the same change." }, { "left": "issue:4589", "right": "issue:5336", "accept": false, - "reason": "XL ControlNet pipeline support/variants is unrelated to adding a strength parameter to ControlNet img2img." + "reason": "Both touch ControlNet img2img/inpaint, but one is about XL pipeline support and the other about a missing strength parameter; different requests." }, { "left": "issue:4648", "right": "issue:5777", "accept": false, - "reason": "A missing config.json/model loading error is unrelated to a PixArt DreamBooth training failure." + "reason": "One is a missing config.json load error, the other is a DreamBooth training failure; no shared underlying bug." }, { "left": "issue:7904", "right": "issue:8535", "accept": false, - "reason": "Scheduler.sigmas changing after forward is a scheduler-state bug, while the other issue is about enabling xFormers on SD3." + "reason": "Both mention scheduler/xformers-adjacent behavior, but one is sigmas mutating after forward and the other is xformers enablement in SD3; different problems." }, { "left": "issue:4418", "right": "issue:5890", "accept": false, - "reason": "SDXL inpaint denoising_start behavior is unrelated to a token-length warning during text-to-image inference." + "reason": "One is a denoising_start behavior bug in SDXL inpaint; the other is a tokenizer length warning during text-to-image inference; unrelated." }, { "left": "issue:4446", "right": "issue:4871", "accept": false, - "reason": "Custom text_encoder loading from_single_file and how to run SDXL from_single_file are related only by API area, not the same failure." + "reason": "Both involve from_single_file/custom loading, but one is about a custom text encoder and the other about how to run SDXL from_single_file; not the same defect." }, { "left": "issue:2579", "right": "issue:3551", "accept": false, - "reason": "A possible xFormers bug/misuse is not the same as LoRA disabling xFormers when enabled." + "reason": "Both mention xFormers, but one is a possible misuse/bug report and the other is LoRA disabling xFormers; different code paths." }, { "left": "issue:6481", "right": "issue:9674", "accept": false, - "reason": "DreamBooth batch-size training failure is unrelated to bad results when training SD3 ControlNet." + "reason": "Training batch-size behavior in DreamBooth is unrelated to SD3 ControlNet training quality." }, { "left": "issue:7228", "right": "issue:8556", "accept": false, - "reason": "Traced-model dtype missing and SD3 from_single_file meta-tensor copy errors are different loading/runtime problems." + "reason": "Both are load-time errors, but one concerns traced model dtype and the other meta tensor copying in SD3 from_single_file; different causes." }, { "left": "issue:1070", "right": "issue:3880", "accept": false, - "reason": "Stable diffusion inpainting bug and degraded unmasked inpainting areas are both about inpaint, but they describe different symptoms and likely different root causes." + "reason": "Both are inpainting complaints, but one is a generic new-version bug report and the other is specifically degraded unmasked areas; not clearly the same bug." }, { "left": "issue:11006", "right": "issue:8809", "accept": false, - "reason": "Broken Wan 2.1 I2V video output with quantized transformer is unrelated to feedforward output inconsistency with varying sequence lengths." + "reason": "Wan I2V broken output is not the same issue as feedforward outputs changing with sequence length; different model behavior." }, { "left": "issue:1817", "right": "issue:1944", "accept": false, - "reason": "Unexpected num_cycles keyword in get_scheduler is a scheduler API mismatch; the other is about poor DreamBooth prompt results." + "reason": "DreamBooth scheduler argument error versus random generation results; one is a crash, the other is a quality/conditioning complaint." }, { "left": "issue:3767", "right": "issue:617", "accept": false, - "reason": "FrozenDict mutability and NNPACK unsupported hardware warnings are unrelated." + "reason": "FrozenDict mutability and NNPACK unsupported hardware are unrelated." }, { "left": "issue:4912", "right": "issue:7264", "accept": false, - "reason": "SDXL checkpoint conversion requests and custom transformers model serialization are separate conversion/serialization topics." + "reason": "Both are about custom models, but one is SDXL checkpoint conversion and the other is serializing/loading custom transformers in DiffusionPipeline; not the same bug." }, { "left": "issue:8535", "right": "issue:9946", - "accept": false, - "reason": "These both mention xformers enablement, but they are distinct SD3 vs general xformers issues and not the same concrete bug." + "accept": true, + "reason": "These are effectively the same xformers memory-efficient-attention issue, both centered on enabling that functionality in the pipeline, with nearly identical wording." }, { "left": "issue:1746", "right": "issue:2444", "accept": false, - "reason": "Flax stable diffusion pipeline error and DreamBooth inpaint script exit failure are unrelated." + "reason": "Both involve training/inference scripts, but the reported errors and scripts are different and do not point to the same defect." }, { "left": "issue:1821", "right": "issue:3032", "accept": false, - "reason": "Inpaint negative_prompt ineffectiveness is unrelated to a ControlNetImg2ImgPipeline class attribute error." + "reason": "Negative prompt ineffectiveness in inpainting and a missing from_pretrained attribute are unrelated." }, { "left": "issue:1821", "right": "issue:987", "accept": false, - "reason": "Inpainting negative_prompt behavior is unrelated to a speech-to-image green output." + "reason": "Inpaint negative-prompt behavior and speech-to-image green output are different issues." }, { "left": "issue:5646", "right": "issue:5685", "accept": false, - "reason": "Both mention schedulers, but one is a model-specific stability comparison and the other is a vague scheduler issue; not the same bug." + "reason": "Both mention schedulers, but one is a specific stability comparison on a model and the other is a vague potential scheduler issue; not enough to treat as one bug." }, { "left": "issue:3468", "right": "issue:6321", "accept": false, - "reason": "Missing model_index.json in DreamBooth output is unrelated to a CLIP model not being detected." - }, - { - "left": "issue:11574", - "right": "issue:11833", - "accept": false, - "reason": "A KeyError for a VAE weight and a KeyError in set_lora_device are different state/lookup bugs in different code paths." - }, - { - "left": "issue:1434", - "right": "issue:3097", - "accept": false, - "reason": "Upscale OOM and load_textual_inversion appearing to do nothing are unrelated issues." + "reason": "One is missing model_index.json after DreamBooth, the other is clip-vit-large-patch14 detection; different loading/training problems." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The single accepted duplicate pair (issue:8535/issue:9946) is well supported by the titles, and the rest of the verdicts do not overstate similarity. No PR-pair concerns apply because no PRs were provided." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -81287,18 +81187,18 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10154", "issue:10302", - "issue:10421", - "issue:10855", + "issue:11574", + "issue:11833", "issue:1249", - "issue:12505", - "issue:12633", + "issue:1434", "issue:2091", "issue:2722", "issue:2851", + "issue:3097", "issue:3405", "issue:4232", "issue:4376", @@ -81338,6 +81238,8 @@ "issue:9911" ], "soft_pairs": [ + "issue:11574|issue:11833", + "issue:1434|issue:3097", "issue:2722|issue:5917", "issue:4232|issue:5866", "issue:4376|issue:5753", @@ -81359,182 +81261,180 @@ "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:7690|issue:7939" ], - "prepared_review_unit_hash": "0dc5d102590cc0fed218ea2ff6c0ff2598f3a53fe512e8cc62f12ba7ad88233d", + "prepared_review_unit_hash": "aac22b934a476bf1f2338ec1b29e0f41923269109f89b4deb5e244990fcb4733", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33742, - "estimated_input_tokens": 8436, - "estimated_eval_tokens": 17128 + "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": "No duplicate cluster here: the items span many unrelated bugs, and every suggested soft pair is only superficially similar. I would reject all soft edges.", - "confidence": 0.93, - "canonical_issue_reason": "No canonical issue: the set is heterogeneous, and the load_lora_weights-related reports differ by symptom and code path.", + "summary": "This cluster is a loose collection of unrelated diffusers issues that only share superficial wording around pipelines, ControlNet, LoRA, or device/offload behavior. None of the soft-edge pairs looks like the same underlying bug or change, so they should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:6639 is the clearest standalone report in this set (SDXL load_lora_weights output mismatch), but it is not a duplicate leader for the rest of the cluster.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11574", + "right": "issue:11833", + "accept": false, + "reason": "Both mention LoRA-related errors, but one is a VAE checkpoint KeyError (`vae.encoder.conv_out.conv.weight`) and the other is `set_lora_device` reporting KeyError after LoRA load. Different code paths and failure modes." + }, + { + "left": "issue:1434", + "right": "issue:3097", + "accept": false, + "reason": "OOM during upscaling is a memory-capacity problem, while `load_textual_inversion` doing nothing is an adapter-loading behavior bug. Unrelated symptoms and subsystems." + }, { "left": "issue:2722", "right": "issue:5917", "accept": false, - "reason": "Both involve UNet conversion, but one is a ControlNet conversion mismatch and the other is a diffusers upgrade regression; different failures." + "reason": "ControlNet conversion mismatch and `convert_ldm_unet_checkpoint` failing after a version upgrade are both conversion-related, but they concern different converters and different model artifacts." }, { "left": "issue:4232", "right": "issue:5866", "accept": false, - "reason": "Both mention ControlNet, but one asks for instruct-pix2pix train/inference code and the other is AnimateDiff + ControlNet errors; not the same bug." + "reason": "Instruct-pix2pix with controlnet condition vs AnimateDiff + ControlNet are different pipelines and different requested behaviors. Not the same bug." }, { "left": "issue:4376", "right": "issue:5753", "accept": false, - "reason": "One is a textual inversion crash in SDXL, the other is a LoRA-loading failure in SDXL ControlNet; distinct code paths and symptoms." + "reason": "Both involve `load_textual_inversion`/LoRA-style loading, but one is an SDXL crash on textual inversion and the other is `load_lora_weights` failing on SDXL ControlNet. Different APIs and error classes." }, { "left": "issue:5515", "right": "issue:9332", "accept": false, - "reason": "LCM scheduler initialization failure is unrelated to from_pretrained loading the wrong weights; different pipeline stages." + "reason": "LCM pipeline scheduler initialization failure is unrelated to `StableDiffusionPipeline.from_pretrained()` loading the wrong weights. No shared concrete code-path." }, { "left": "issue:4530", "right": "issue:6686", "accept": false, - "reason": "Image artifacts in SDXL refiner are unrelated to Dynamo compilation performance after save/load." + "reason": "SDXL refiner image artifacts are an output-quality issue, while Dynamo compilation save/load losing performance is a compilation/cache behavior issue. Different problems." }, { "left": "issue:4826", "right": "issue:7562", "accept": false, - "reason": "Both touch MultiControlNet, but one reports reference errors and the other CPU offload failure; not the same underlying bug." + "reason": "Multi-ControlNet errors in ControlNet Reference and `enable_model_cpu_offload` failing on SDXL ControlNet Img2Img are different feature combinations and different failure points." }, { "left": "issue:10154", "right": "issue:6639", "accept": false, - "reason": "Both mention load_lora_weights, but one is an AttributeError and the other is an output mismatch; not the same concrete failure." + "reason": "`load_lora_weights` attribute error vs LoRA loading producing different outputs than two-step loading. One is a crash, the other is a correctness mismatch." }, { "left": "issue:4646", "right": "issue:7240", "accept": false, - "reason": "ONNX ControlNet conversion failure is unrelated to low-quality output from ImageNet conditional LDM conversion." + "reason": "ControlNet-to-ONNX conversion failure and low-quality ImageNet conditional LDM conversion output are both conversion topics, but they are not the same bug." }, { "left": "issue:5152", "right": "issue:9106", "accept": false, - "reason": "W\u00fcrstchen alpha bug and PixArt time_step=1 attribute error are different models and different errors." + "reason": "W\u00fcrstchen alpha bug and PixArt-Alpha `time_step=1` attribute error are different models and different failure modes." }, { "left": "issue:4649", "right": "issue:7589", "accept": false, - "reason": "A NoneType/additional condition kwargs error is not the same as GLIGEN not working; different mechanisms." + "reason": "`text_embeds` NoneType error in an SDXL/added-conditions path is unrelated to GLIGEN layout-to-image synthesis not working." }, { "left": "issue:6280", "right": "issue:9846", "accept": false, - "reason": "Missing from_single_file() on SDXL ControlNet Img2ImgPipeline and FluxControlNetModel are separate APIs/models." + "reason": "Missing `from_single_file` on SDXL ControlNet Img2Img and missing `from_single_file` on FluxControlNetModel are the same API gap in a broad sense, but they are separate model families and separate feature requests; too broad to merge as one bug." }, { "left": "issue:4480", "right": "issue:8526", "accept": false, - "reason": "Both are MPS-related, but one crashes with fp16 generation while the other ignores joint_attention_kwargs scale; different bugs." + "reason": "MPS half-precision kernel crash on Mac M1 is unrelated to SD3 MPS `joint_attention_kwargs` scale being ineffective. Different backend issues and different symptoms." }, { "left": "issue:2091", "right": "issue:5124", "accept": false, - "reason": "Checkpoint resume with multi-GPU training is unrelated to how to fine-tune a safetensors checkpoint." + "reason": "Checkpoint resume in multi-GPU training and a question about fine-tuning a safetensor checkpoint are not the same underlying bug." }, { "left": "issue:9539", "right": "issue:9911", "accept": false, - "reason": "Float8 index_select CUDA failure in CogVideoX is unrelated to Flux multi-ControlNet layer-length errors." + "reason": "CogVideoX FP8 CUDA `index_select` failure is a specific dtype/kernel limitation, while Flux multi-ControlNet with differing layer lengths is a model-shape handling issue." }, { "left": "issue:7415", "right": "issue:7891", "accept": false, - "reason": "TPU bfloat16 AutoencoderKL issue and CPU/CUDA device mismatch are different device-type problems." + "reason": "TPU bfloat16 AutoencoderKL corruption and generic CPU/CUDA device mismatch are different hardware/device errors with different root causes." }, { "left": "issue:4480", "right": "issue:6807", "accept": false, - "reason": "A runtime crash on MPS inference is unrelated to test collection failures on MPS." + "reason": "Mac M1 MPS runtime crash and test collection failures on MPS are both MPS-related, but one is an inference crash and the other is a contributor test collection issue." }, { "left": "issue:5607", "right": "issue:6090", "accept": false, - "reason": "Tensor dimension mismatch 64 vs 512 is not the same as channel mismatch 8 vs 4." + "reason": "These are both tensor-shape runtime errors, but the reported mismatched dimensions and model contexts are different; no evidence of the same failing code path." }, { "left": "issue:10302", "right": "issue:9690", "accept": false, - "reason": "FP8 inference noise and FP8 example-code cleanup are not the same defect." + "reason": "FP8 inference noise report and FLUX FP8 example code cleanup are not the same bug; one is a model-quality concern, the other is documentation/example maintenance." }, { "left": "issue:3405", "right": "issue:6109", "accept": false, - "reason": "A generic ControlNet training bug is unrelated to ControlNet-xs with depth control." + "reason": "ControlNet training bug and ControlNet-xs with depth control are different training/model-variant issues with no clear overlap." }, { "left": "issue:1249", "right": "issue:5509", "accept": false, - "reason": "ONNXPipeline missing .device on ndarray and image/prompt batch-size mismatch are different input-handling failures." + "reason": "ONNX pipeline `numpy.ndarray` missing `.device` and image batch-size mismatch for np/cv2 inputs are distinct input-handling bugs." }, { "left": "issue:2851", "right": "issue:898", "accept": false, - "reason": "TPU push_to_hub issue and unsupported BFloat16 scalar-type error are separate TPU problems." + "reason": "TPU `push_to_hub` failure is about training workflow on TPU, while the bfloat16 scalar-type exception is a lower-level dtype/device issue. Not the same change." }, { "left": "issue:7690", "right": "issue:7939", "accept": false, - "reason": "Tokenizer load failure for SDXL base is unrelated to loading 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 unrelated to tgate errors in img2img SD/SDXL pipelines." - }, - { - "left": "issue:10855", - "right": "issue:12633", - "accept": false, - "reason": "Gradient accumulation stepping too often is unrelated to DDIMScheduler timestep-spacing logic." + "reason": "Tokenizer loading failure for SDXL base and loading a model from the same folder are different loading problems with different assets and likely different causes." } ] }, @@ -81556,8 +81456,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10421", + "issue:10855", "issue:10913", "issue:11000", "issue:1101", @@ -81570,6 +81472,8 @@ "issue:1197", "issue:11989", "issue:12437", + "issue:12505", + "issue:12633", "issue:1407", "issue:1478", "issue:177", @@ -81590,12 +81494,8 @@ "issue:3480", "issue:3769", "issue:3902", - "issue:4109", - "issue:4446", "issue:5170", "issue:5336", - "issue:6001", - "issue:6880", "issue:6958", "issue:725", "issue:7497", @@ -81607,6 +81507,8 @@ "issue:9772" ], "soft_pairs": [ + "issue:10421|issue:12505", + "issue:10855|issue:12633", "issue:10913|issue:11675", "issue:11000|issue:11214", "issue:1101|issue:3418", @@ -81628,188 +81530,186 @@ "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:3902|issue:7497" ], - "prepared_review_unit_hash": "762270702fd1cfd62dc48f0dba6d54da621da169fc4e2d0a29f616dbfe1e819b", + "prepared_review_unit_hash": "a6e6cf8a000d40b80684b552e08db33d9c1d07ab6e1629f59fa433e5e94ecd31", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33106, - "estimated_input_tokens": 8277, - "estimated_eval_tokens": 16810 + "serialized_chars": 33164, + "estimated_input_tokens": 8291, + "estimated_eval_tokens": 16838 }, "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 edge looks like a real duplicate around `from_single_file` failing on CivitAI/Flux checkpoints; the rest are just broad topical similarity (loading, training, pipelines, docs, tests) without the same concrete bug.", - "confidence": 0.78, - "canonical_issue_reason": "issue:9052 is the broader, clearer report of the shared `from_single_file` checkpoint-loading failure; issue:11127 reads like a specific instance of that same problem.", + "summary": "Mostly unrelated issue titles; the only plausible duplicate pair is the two CivitAI `from_single_file` loading failures, with one being a specific Flux checkpoint instance of the other.", + "confidence": 0.93, + "canonical_issue_reason": "#9052 is the broader, cleaner description of the shared bug: `from_single_file` fails on certain CivitAI checkpoints. #11127 reads like a specific example of that loader failure.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9052 is the best representative issue because it names the shared code path and problem class, not just one model variant.", + "best_issue_reason": "#9052 is the best representative issue because it states the underlying loading problem more generally and can subsume the more specific checkpoint report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10421", + "right": "issue:12505", + "accept": false, + "reason": "Different problems: GPU pipeline migration memory leak vs img2img `tgate` runtime error." + }, + { + "left": "issue:10855", + "right": "issue:12633", + "accept": false, + "reason": "Unrelated training/scheduler behaviors: gradient accumulation optimizer stepping vs DDIM timestep mismatch." + }, { "left": "issue:10913", "right": "issue:11675", "accept": false, - "reason": "Both are loading-related, but one is dataset loading and the other is LoRA weight loading; different failure modes." + "reason": "Both mention loading, but one is dataset-from-disk behavior and the other is pretrained LoRA weight loading." }, { "left": "issue:11000", "right": "issue:11214", "accept": false, - "reason": "Both are TypeErrors, but they hit different models and different missing/unexpected arguments." + "reason": "Different model APIs and failures: missing `shift` arg vs unexpected `encoder_hidden_states` keyword." }, { "left": "issue:1101", "right": "issue:3418", "accept": false, - "reason": "Scheduler feature request vs training-script text-encoder support; unrelated changes." + "reason": "Separate feature requests for different components: scheduler addition vs LoRA training script changes." }, { "left": "issue:11127", "right": "issue:9052", "accept": true, - "reason": "Both describe `from_single_file` failing on CivitAI/Flux checkpoints; same loading-path bug at different specificity." + "reason": "Both report `from_single_file` failures on CivitAI checkpoints; #11127 is a specific Flux-model instance of the broader loader bug." }, { "left": "issue:1117", "right": "issue:202", "accept": false, - "reason": "Both are test-related, but they concern different areas and no shared bug is evident." + "reason": "Tests for multiple negative prompts vs tests for `unet_blocks` are unrelated." }, { "left": "issue:11470", "right": "issue:8659", "accept": false, - "reason": "Both mention training scripts/checkpoints, but they are different scripts and different defects." + "reason": "Different SDXL training-script concerns: tensorboard image logging vs checkpoint resume/inference loading." }, { "left": "issue:1181", "right": "issue:725", "accept": false, - "reason": "Training-from-scratch support and model-loading memory optimization are not the same issue." + "reason": "Generic training-from-scratch request vs model-loading memory footprint improvement." }, { "left": "issue:1197", "right": "issue:939", "accept": false, - "reason": "Community pipeline addition vs list support for community pipes; related theme only, not same change." + "reason": "Community pipeline request vs using multiple community pipes in a list are distinct features." }, { "left": "issue:11989", "right": "issue:9331", "accept": false, - "reason": "Black-image inference and a scheduler index bug are different symptoms and code paths." + "reason": "Black output image issue vs scheduler index lookup bug are different code paths." }, { "left": "issue:12437", "right": "issue:9772", "accept": false, - "reason": "Two separate feature requests for different model families; same general 'support' theme only." + "reason": "Both are support requests, but for different models/features (OmniSVG vs ControlNetPlus Union)." }, { "left": "issue:1407", "right": "issue:1821", "accept": false, - "reason": "ONNX pipeline feature-extractor regression vs inpaint negative-prompt behavior; unrelated bugs." + "reason": "Different pipeline regressions: ONNX feature_extractor error vs weak negative_prompt effect in inpainting." }, { "left": "issue:1478", "right": "issue:3769", "accept": false, - "reason": "Both are output-shape/image-layout issues, but they affect different pipelines and different failure modes." + "reason": "Different image-shape/output bugs in different pipelines." }, { "left": "issue:177", "right": "issue:244", "accept": false, - "reason": "Both are documentation/contributor topics, but they are different docs requests." + "reason": "Unrelated documentation tasks." }, { "left": "issue:1857", "right": "issue:2871", "accept": false, - "reason": "UnCLIP test coverage vs inpainting latent output handling; not the same bug." + "reason": "Different pipeline bugs: test coverage for UnCLIP vs latent output handling in inpainting." }, { "left": "issue:2392", "right": "issue:3428", "accept": false, - "reason": "Specific `prompt_embeds` validation error vs a generic img2img pipeline change problem." + "reason": "Both involve img2img, but the concrete failures differ and don\u2019t look like the same bug." }, { "left": "issue:2462", "right": "issue:2737", "accept": false, - "reason": "IterableDataset finetuning support and CLIP guidance scheduler support are unrelated feature requests." + "reason": "Different feature requests in training data loading vs scheduler guidance support." }, { "left": "issue:2782", "right": "issue:968", "accept": false, - "reason": "Sequential offloading error vs slow model loading; performance vs runtime error, not a duplicate." + "reason": "Offloading error vs model loading slowness are not the same underlying issue." }, { "left": "issue:3162", "right": "issue:6958", "accept": false, - "reason": "Missing conditioning argument and UNet motion-model config issue are different code paths." + "reason": "Different missing-argument/model-architecture issues." }, { "left": "issue:3280", "right": "issue:3391", "accept": false, - "reason": "Scheduler compatibility for DeepFloyd IF vs overexposure in super-resolution; same project area but different bugs." + "reason": "Both are DeepFloyd-related, but one is scheduler compatibility and the other is image overexposure." }, { "left": "issue:3480", "right": "issue:5170", "accept": false, - "reason": "LoRA scaling parameter request vs removing LoRA after load; not the same underlying change." + "reason": "LoRA scaling support request vs removing LoRA after load are different behaviors." }, { "left": "issue:3480", "right": "issue:5336", "accept": false, - "reason": "Different parameter requests for different pipelines; no duplicate bug/change." + "reason": "Different parameter requests for different pipelines." }, { "left": "issue:3902", "right": "issue:7497", "accept": false, - "reason": "Control-a-video and fine-grained attribute control are unrelated feature requests." - }, - { - "left": "issue:4109", - "right": "issue:6001", - "accept": false, - "reason": "Both involve SDXL inpaint/refiner, but one is a broken pipeline and the other is wrong pipeline selection from_single_file." - }, - { - "left": "issue:4446", - "right": "issue:6880", - "accept": false, - "reason": "Custom text-encoder loading and Custom Diffusion retrieval are different problems, only loosely related by custom-model support." + "reason": "Unrelated feature requests." } ] }, "evaluator_result": { "accept": true, - "feedback": "The assessment is grounded in the packet and stays conservative. The only accepted soft edge, issue:11127 vs issue:9052, is well supported by the titles as the same `from_single_file` checkpoint-loading failure at different specificity. The rest are plausibly related only at a broad topical level, so rejecting them is appropriately cautious." + "feedback": "The canonical pair choice is grounded in the packet: #11127 and #9052 both concern `from_single_file` loading failures with CivitAI checkpoints, with #11127 reading as a specific instance of the broader #9052 bug. The rest of the soft-edge rejections are conservative and supported by the titles; no PR-mergeability issue applies here." }, "evaluator_used": true, "retried": false, @@ -81828,7 +81728,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11973", "issue:13256", @@ -81843,24 +81743,24 @@ "issue:2966", "issue:3379", "issue:3591", - "issue:4219", + "issue:4109", + "issue:4446", "issue:4453", - "issue:4456", "issue:4483", - "issue:4488", "issue:4674", - "issue:4868", "issue:4985", "issue:5112", "issue:5465", "issue:5963", "issue:5977", + "issue:6001", "issue:6028", "issue:6162", "issue:6518", "issue:6565", "issue:6783", "issue:6832", + "issue:6880", "issue:7102", "issue:7168", "issue:7178", @@ -81879,6 +81779,8 @@ "issue:988" ], "soft_pairs": [ + "issue:4109|issue:6001", + "issue:4446|issue:6880", "issue:4453|issue:988", "issue:5112|issue:7485", "issue:5963|issue:7168", @@ -81900,182 +81802,180 @@ "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:13256|issue:7708" ], - "prepared_review_unit_hash": "0571599172460e7bf4bd6093486677bf76af22e8d6aeae7afe107d0effe4f8b1", + "prepared_review_unit_hash": "414f232d87fe1cde6feb8f1c2f25e0d13198654173d0fec04bf97e9cca814a98", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33803, - "estimated_input_tokens": 8451, - "estimated_eval_tokens": 17158 + "serialized_chars": 33678, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 }, "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 spanning training scripts, pipelines, loaders, and model-specific bugs. I don\u2019t see any true duplicate pair among the suggested soft edges; they share only broad subsystem similarity.", - "confidence": 0.91, - "canonical_issue_reason": "issue:11973 is the clearest, most specific current bug report in the set: it names the exact script and the exact missing CLI argument error.", + "summary": "This cluster is mostly heterogeneous; the proposed soft pairs do not look like the same underlying bug or change. Most are unrelated training, pipeline, model-loading, or environment issues, so no pair should be merged as duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "issue:11973 is the most specific and actionable report: a concrete CLI failure in a named training script with a clear missing-argument error.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11973 is the best representative because it is concrete, actionable, and narrowly scoped compared with the more generic or model-agnostic reports.", + "best_issue_reason": "issue:11973 is the best anchor for the cluster because it is narrowly scoped, reproducible, and easy to triage; the other issues are broader or about different code paths.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4109", + "right": "issue:6001", + "accept": false, + "reason": "Both mention SDXL inpaint pipelines, but one is a general pipeline failure and the other is a from_single_file refiner-type mixup; different bugs." + }, + { + "left": "issue:4446", + "right": "issue:6880", + "accept": false, + "reason": "Custom text_encoder loading vs. custom diffusion retrieve script; unrelated failure modes and code paths." + }, { "left": "issue:4453", "right": "issue:988", "accept": false, - "reason": "Both are about training examples, but one is SDXL LoRA conversion to safetensors and the other is FSDP training support; different problems and no shared code-path bug." + "reason": "LoRA conversion/export issue versus an old FSDP training question; same broad area but not the same bug." }, { "left": "issue:5112", "right": "issue:7485", "accept": false, - "reason": "Different failures in different pipelines: a torch.Size float error in SDXL ControlNet img2img vs a NoneType safety_checker callable error." + "reason": "Different pipelines and errors: SDXL ControlNet shape/type issue vs setting safety_checker to None causing callable error." }, { "left": "issue:5963", "right": "issue:7168", "accept": false, - "reason": "Both mention embeddings, but they concern different models and different bugs: Kandinsky 3.0 prompt/embed handling vs IP-Adapter image embed tensor shape handling." + "reason": "Kandinsky embeds-vs-prompts behavior and IP-Adapter image embeds handling are distinct API/data-shape problems." }, { "left": "issue:5977", "right": "issue:9756", "accept": false, - "reason": "Unrelated topics: saving LoRA state dict keys vs a missing notebook file." + "reason": "Saving LoRA key names and missing notebook file are unrelated." }, { "left": "issue:6162", "right": "issue:6832", "accept": false, - "reason": "Both are shape issues, but they affect different pipelines and tensor flows; not the same concrete bug." + "reason": "IP-Adapter shape mismatch on SDXL and Face ID community pipeline tuple/shape error are different implementations and symptoms." }, { "left": "issue:6518", "right": "issue:9138", "accept": false, - "reason": "Different runtime errors in different training scripts; one is a NoneType floor-division issue, the other is an int-vs-str comparison." + "reason": "A training script NoneType floor-division bug is unrelated to a generic int/string comparison error." }, { "left": "issue:7102", "right": "issue:7450", "accept": false, - "reason": "Both involve multi-input or multi-thread scenarios, but one is a ControlNet multi-prompt bug and the other is an AutoencoderKL threading issue." + "reason": "ControlNet multi-prompt bug and AutoencoderKL multithreading issue affect different components and code paths." }, { "left": "issue:8380", "right": "issue:9210", "accept": false, - "reason": "These are different API/validation problems: a default argument in ControlNetModel forward versus an invalid image_column dataset argument." + "reason": "A forward-signature default-value change and an image_column validation error are not the same bug." }, { "left": "issue:2091", "right": "issue:2213", "accept": false, - "reason": "Both are training-script issues, but one is checkpoint resume in multi-GPU and the other is TPU distributed-environment hanging; different code paths and symptoms." + "reason": "Checkpoint resume/multi-GPU training issue vs TPU distributed-environment hang; different runtime setups and failures." }, { "left": "issue:2799", "right": "issue:5465", "accept": false, - "reason": "One is about mismatched model checkpoint/pipeline validation, the other about DiffEdit inpaint_strength handling; not the same bug." + "reason": "Checkpoint/pipeline mismatch validation and DiffEdit inpaint_strength limitation are separate correctness checks." }, { "left": "issue:1540", "right": "issue:2412", "accept": false, - "reason": "Both mention Dreambooth, but one is a missing MODEL_TYPE transformer execution issue and the other is a generic dreambooth error report with different failure details." + "reason": "Missing MODEL_TYPE in transformers/dreambooth execution is different from a generic dreambooth error report." }, { "left": "issue:9350", "right": "issue:9637", "accept": false, - "reason": "Different warnings/errors in different places: txt_ids dimensionality deprecation vs xFormers attention-mask/bfloat sequence-length failure." + "reason": "txt_ids tensor deprecation and xFormers attention-mask/bfloat16 failure are unrelated tensor-shape/backend issues." }, { "left": "issue:6565", "right": "issue:8909", "accept": false, - "reason": "Different training problems in different scripts: DPO diffusion loss spikes/noisy samples vs text_encoder_ti saving in a Dreambooth LoRA script." + "reason": "DPO diffusion training instability is not the same as saving text_encoder_ti in a LoRA training script." }, { "left": "issue:3591", "right": "issue:6565", "accept": false, - "reason": "ControlNet loss-curve confusion is not the same as DPO diffusion instability; only the general training context overlaps." + "reason": "ControlNet loss-curve confusion is a different training behavior issue than DPO diffusion loss spikes." }, { "left": "issue:4674", "right": "issue:6028", "accept": false, - "reason": "Both are memory-related, but one is a pipeline memory leak when switching sizes and the other is a straightforward CUDA OOM in Kandinsky 3.0." + "reason": "DiffusionPipeline width/height memory leak and Kandinsky 3.0 OOM are both memory-related but not the same bug." }, { "left": "issue:1709", "right": "issue:2265", "accept": false, - "reason": "Different file types and errors: ONNX img2img astype on Tensor versus ONNXRuntime incompatibility in an unconditional image generation script." + "reason": "ONNX img2img tensor.astype error and ONNXRuntime incompatibility in unconditional training are distinct compatibility issues." }, { "left": "issue:4483", "right": "issue:6783", "accept": false, - "reason": "Stable Diffusion XL generator determinism and PixArt generation corruption are separate model/output issues." + "reason": "Nondeterministic SDXL generator arguments and PixArt-XL generations being messed up are different model/output problems." }, { "left": "issue:2966", "right": "issue:4985", "accept": false, - "reason": "Both involve multi-GPU/SDXL training, but one is InstructPix2Pix multi-GPU behavior and the other is an OOM during SDXL InstructPix2Pix training." + "reason": "Multi-GPU InstructPix2Pix training trouble and SDXL InstructPix2Pix OOM are different failure modes." }, { "left": "issue:1941", "right": "issue:3379", "accept": false, - "reason": "Both mention custom/dreambooth-related loading, but one is UnCLIP custom pipeline loading and the other is intermediate checkpoint loading in Dreambooth." + "reason": "UnCLIP custom pipeline loading and Dreambooth intermediate checkpoint loading are unrelated loading/resume issues." }, { "left": "issue:11973", "right": "issue:9227", "accept": false, - "reason": "Both are Flux/Dreambooth script issues, but one is a missing required CLI argument and the other is a runtime problem with a specific FLUX.1-dev model; not the same bug." + "reason": "Both are Flux DreamBooth training reports, but one is a missing required CLI argument in kontext and the other is a model-specific training problem; not the same concrete bug." }, { "left": "issue:7178", "right": "issue:9320", "accept": false, - "reason": "Different save/export failures: export_to_video behavior versus finetuned model save/load handling in custom diffusion." + "reason": "export_to_video malfunction and custom diffusion save/load issues are unrelated." }, { "left": "issue:13256", "right": "issue:7708", "accept": false, - "reason": "Package compatibility question versus a missing tokenizer/config.json file in an SDXL model repo; no shared underlying defect." - }, - { - "left": "issue:4219", - "right": "issue:4488", - "accept": false, - "reason": "Both are about ControlNet/checkpoints, but one asks for conversion support between ControlNet 2.1 checkpoints while the other is SDXL loading without pipeline_class; different change requests." - }, - { - "left": "issue:4456", - "right": "issue:4868", - "accept": false, - "reason": "Distinct AttributeErrors in different code paths: ModuleList indexing in LoRA loading versus a __getattr__ super call problem." + "reason": "A package version-compatibility complaint and a missing tokenizer/config.json file are different problems." } ] }, @@ -82097,18 +81997,14 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10302", "issue:10467", "issue:10638", "issue:10803", "issue:10804", - "issue:10963", - "issue:1099", "issue:11169", - "issue:1255", - "issue:12606", "issue:13035", "issue:1407", "issue:1784", @@ -82121,7 +82017,11 @@ "issue:3788", "issue:4037", "issue:4139", + "issue:4219", + "issue:4456", + "issue:4488", "issue:4720", + "issue:4868", "issue:5017", "issue:5178", "issue:5628", @@ -82149,6 +82049,8 @@ "issue:9619" ], "soft_pairs": [ + "issue:4219|issue:4488", + "issue:4456|issue:4868", "issue:2250|issue:3381", "issue:2185|issue:5794", "issue:1407|issue:5875", @@ -82170,182 +82072,180 @@ "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:10638|issue:6801" ], - "prepared_review_unit_hash": "6196bab4e244c7e4a76bad35a8324ae6d59a55bc8a9a551c3024fb868a5be3f5", + "prepared_review_unit_hash": "b2eed5d0907c61693a5e62d1883a85cd090a4fb171d9e594114c3ae077b028f1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34142, - "estimated_input_tokens": 8536, - "estimated_eval_tokens": 17328 + "serialized_chars": 34306, + "estimated_input_tokens": 8577, + "estimated_eval_tokens": 17410 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is heterogeneous: it mixes unrelated import errors, scheduler bugs, training issues, and pipeline feature requests. None of the soft-edge pairs look like the same underlying bug, so all should be rejected.", - "confidence": 0.95, - "canonical_issue_reason": "No single canonical duplicate stands out because the items span many different subsystems and failure modes. If one issue must anchor the cluster, #10302 is the clearest standalone user-facing bug report, but it is not a true duplicate target for the rest.", + "summary": "This cluster is very noisy: most items are unrelated issues that only share broad terms like scheduler, ControlNet, LoRA, or precision. None of the proposed soft pairs look like true duplicates.", + "confidence": 0.61, + "canonical_issue_reason": "issue:10302 is the clearest, broadest representative of the only recurring theme here: precision-related inference quality/regression. It is also open and well-scoped.", "canonical_pr_reason": null, - "best_issue_reason": "#10302 is the strongest standalone issue because it describes a concrete, actionable FP8 inference problem with a clear symptom and scope.", + "best_issue_reason": "issue:10302 is the best single issue to anchor this cluster because it is specific, actionable, and closest to the small precision/inference subtheme present among otherwise unrelated reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:4219", + "right": "issue:4488", + "accept": false, + "reason": "One is about ControlNet checkpoint conversion; the other is about SDXL checkpoint loading. Same broad area, different bug." + }, + { + "left": "issue:4456", + "right": "issue:4868", + "accept": false, + "reason": "Both are loader/runtime attribute errors, but they describe different failing code paths and different root causes." + }, { "left": "issue:2250", "right": "issue:3381", "accept": false, - "reason": "Both are inference-related, but one is a Dreambooth prompt-generation failure and the other is a batch inpainting discoloration/docs issue; different code paths and symptoms." + "reason": "Dreambooth prompt-generation failure vs inpaint batch discoloration/docs issue; not the same defect." }, { "left": "issue:2185", "right": "issue:5794", "accept": false, - "reason": "These are different missing-file/config problems in different workflows; one concerns training config files, the other a tokenizer config on an SDXL model repo." + "reason": "Missing training config files vs missing tokenizer config for SDXL; related ecosystem, but different artifacts and problems." }, { "left": "issue:1407", "right": "issue:5875", "accept": false, - "reason": "Both mention ONNX/SDXL prompting, but one is a pipeline validation error from a prior PR and the other is a separate conversion prompt issue; not the same bug." + "reason": "ONNX pipeline feature_extractor error vs SDXL ONNX prompt conversion error; not a duplicate bug." }, { "left": "issue:5628", "right": "issue:7183", "accept": false, - "reason": "Both involve schedulers, but one is a denoising-start/end offset with LMS Karras sigmas while the other is an incorrect _class_name display when swapping schedulers." + "reason": "Scheduler denoising offset behavior and scheduler class-name reporting are unrelated issues." }, { "left": "issue:4037", "right": "issue:7751", "accept": false, - "reason": "These are unrelated training vs conversion problems; ControlNet FSDP validation errors are not the same as Animatediff motion-module conversion failures." + "reason": "ControlNet FSDP validation errors vs Animatediff conversion errors; different pipelines and failure modes." }, { "left": "issue:6363", "right": "issue:6445", "accept": false, - "reason": "Different training errors: FP16 gradient unscale failure versus a caption_column validation error. Same example family, but not the same underlying defect." + "reason": "FP16 unscale gradient error is unrelated to caption_column validation." }, { "left": "issue:2213", "right": "issue:2410", "accept": false, - "reason": "Both concern training scripts hanging/missing outputs, but one is a TPU distributed-environment hang and the other is a Flax checkpoint/output artifact issue." + "reason": "TPU distributed hang vs missing flax/pytorch model files; both training-related, but not the same bug." }, { "left": "issue:10467", "right": "issue:10804", "accept": false, - "reason": "Both reference FLUX-related examples, but one is a build/tempfile naming issue and the other is a LoRA load failure; different failure modes and code paths." + "reason": "Example-code filename/build artifact issue vs LoRA load failure; different FLUX problems." }, { "left": "issue:7012", "right": "issue:7330", "accept": false, - "reason": "Both are about sampling/image quality, but v_prediction weird images is not the same as FP16 gradient unscale errors in LoRA training." + "reason": "Weird images from v_prediction vs FP16 unscale error; distinct training/inference failures." }, { "left": "issue:10803", "right": "issue:7243", "accept": false, - "reason": "A new SANA-based pipeline proposal is not the same as a ResAdapter pipeline proposal; both are feature requests, not duplicate bugs." + "reason": "A new model/pipeline request vs a different new adapter request; not a shared underlying change." }, { "left": "issue:11169", "right": "issue:13035", "accept": false, - "reason": "Both are import failures, but they involve different missing symbols from different libraries and different dependency issues." + "reason": "Binary incompatibility during import vs missing MT5Tokenizer import; both import failures, different causes." }, { "left": "issue:1784", "right": "issue:2737", "accept": false, - "reason": "The first asks for multi-timestep support in schedulers; the second asks for CLIP guidance support in one scheduler. Related area, but distinct changes." + "reason": "Multiple timesteps support request vs CLIP guidance support request; same scheduler family, but separate features." }, { "left": "issue:3788", "right": "issue:6533", "accept": false, - "reason": "UniControl new pipeline request and Marigold pipeline request are separate feature additions, not the same underlying change." + "reason": "UniControl pipeline request vs Marigold pipeline request; unrelated model additions." }, { "left": "issue:4139", "right": "issue:817", "accept": false, - "reason": "Both discuss precision, but one is a custom diffusion attention processor cast issue and the other is mixed precision failing in a Dreambooth example; not the same bug." + "reason": "Both mention precision, but one is a custom attention processor cast issue and the other is a Dreambooth mixed-precision problem." }, { "left": "issue:5017", "right": "issue:9186", "accept": false, - "reason": "Control mode for ControlNet is a feature request, while Differential Diffusion with ControlNet is a different pipeline capability request." + "reason": "Control mode feature request vs Differential Diffusion with ControlNet pipeline; same subsystem, but different change requests." }, { "left": "issue:5957", "right": "issue:9619", "accept": false, - "reason": "Padding_mode support in LoRACompatibleConv is unrelated to adding interrupt support to ControlNet pipelines." + "reason": "LoRACompatibleConv padding-mode support and ControlNet interrupt support are unrelated." }, { "left": "issue:5932", "right": "issue:6176", "accept": false, - "reason": "The first is a channel mismatch loading Stable Diffusion input; the second is a LoRA weight-loading error after dreambooth_lora training. Different models and failure points." + "reason": "Channel-mismatch inference error vs LoRA weight loading after Dreambooth training; different failure points." }, { "left": "issue:10302", "right": "issue:9461", "accept": false, - "reason": "Both mention inference, but FP8 noise without CPU offloading is a precision/offloading issue while 'Flux inference og' is too underspecified to match the same bug." + "reason": "FP8 inference noise and vague Flux inference issue are not clearly the same bug." }, { "left": "issue:4720", "right": "issue:8612", "accept": false, - "reason": "Both are mixed-precision/autoencoder compatibility problems, but one is AutoencoderTiny with img2img/inpainting pipelines and the other is Pixart-sigma mixed precision inference; not the same concrete code path." + "reason": "AutoencoderTiny pipeline incompatibility vs Pixart-sigma mixed-precision inference; different models and defects." }, { "left": "issue:5178", "right": "issue:7569", "accept": false, - "reason": "Resolution-change failure in DPM SDE is unrelated to a Mac-specific FreeU test failure." + "reason": "DPM-SDE resolution-change bug vs Mac test failure for FreeU; no shared underlying issue." }, { "left": "issue:6368", "right": "issue:6517", "accept": false, - "reason": "Both are import/conversion-related, but one is a LoRA checkpoint alpha support issue and the other is a ControlNet SDXL import traceback; different artifacts and errors." + "reason": "Unsupported LoRA alpha checkpoint vs ControlNet img2img import failure; unrelated." }, { "left": "issue:10638", "right": "issue:6801", "accept": false, - "reason": "Both involve schedulers, but one is an SDXL scheduling script problem and the other is a generic scheduler loading issue in a newer diffusers version." - }, - { - "left": "issue:10963", - "right": "issue:12606", - "accept": false, - "reason": "Both are import-path problems, but one is a missing AutoencoderKLWan export and the other is a wrong import of a conversion script; unrelated symbols." - }, - { - "left": "issue:1099", - "right": "issue:1255", - "accept": false, - "reason": "Both are missing-import issues, but they concern different classes and different library symbols; not the same duplicate." + "reason": "Running a specific SDXL scheduler example and loading a scheduler in diffusers 0.26.0 are related only at a broad level, not the same concrete bug." } ] }, @@ -82367,16 +82267,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10035", - "issue:10596", + "issue:10963", + "issue:1099", "issue:11047", - "issue:11839", "issue:11885", + "issue:1255", + "issue:12606", "issue:13162", "issue:1519", - "issue:1964", "issue:2097", "issue:2674", "issue:3901", @@ -82385,7 +82286,6 @@ "issue:4578", "issue:4631", "issue:4701", - "issue:5429", "issue:5485", "issue:5553", "issue:5598", @@ -82418,6 +82318,8 @@ "issue:9889" ], "soft_pairs": [ + "issue:10963|issue:12606", + "issue:1099|issue:1255", "issue:2674|issue:3901", "issue:4578|issue:7221", "issue:5919|issue:9477", @@ -82439,182 +82341,180 @@ "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:4206|issue:8850" ], - "prepared_review_unit_hash": "e11d92f32c945241f98bee3d2be2c7671f8d8f3c7ca2f53dd1ae345c423c654f", + "prepared_review_unit_hash": "bed2c4d2e7937859507771abd93d95e229cf8ddb939da8f81f0ca5b32d347c0c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33301, - "estimated_input_tokens": 8326, - "estimated_eval_tokens": 16908 + "serialized_chars": 33294, + "estimated_input_tokens": 8324, + "estimated_eval_tokens": 16904 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are not duplicates of one another; they span many unrelated bugs and feature requests across different pipelines, schedulers, and training scripts. All soft-edge pairs should be rejected.", - "confidence": 0.98, - "canonical_issue_reason": null, + "summary": "This set is not a true duplicate cluster; it spans many unrelated bugs, docs issues, training problems, import errors, and model-specific regressions. All soft-edge pairs are only loosely similar by subsystem or model family, not the same underlying change or failure.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: the items are heterogeneous and do not describe one shared bug.", "canonical_pr_reason": null, - "best_issue_reason": "No single issue is a good canonical representative because the cluster is heterogeneous; if forced, issue:11885 has the richest diagnostic detail, but it is not meaningfully representative of the rest.", + "best_issue_reason": "If forced to choose a representative issue, 11885 is the most detailed and diagnostic report, but it still does not represent the rest of the set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10963", + "right": "issue:12606", + "accept": false, + "reason": "Both are import-related, but one is a missing exported class and the other is a wrong script import path; different fixes." + }, + { + "left": "issue:1099", + "right": "issue:1255", + "accept": false, + "reason": "Different missing symbols in different classes; same generic import-error pattern, not the same bug." + }, { "left": "issue:2674", "right": "issue:3901", "accept": false, - "reason": "One is about LoRA requiring safetensors; the other is a missing requirements.txt file. Different failure modes and scopes." + "reason": "One is a missing dependency for LoRA support; the other is a missing requirements file. Not the same issue." }, { "left": "issue:4578", "right": "issue:7221", "accept": false, - "reason": "Documentation/usage complaint about VAE in docs vs a noisy-image runtime issue with a specific model; not the same bug." + "reason": "Documentation omission versus noisy image generation; unrelated problems." }, { "left": "issue:5919", "right": "issue:9477", "accept": false, - "reason": "Both mention LoRA-related errors, but one is a missing Linear method and the other is a callable-object error in a different context." + "reason": "Different runtime failures in different code paths; no clear shared root cause." }, { "left": "issue:6093", "right": "issue:6399", "accept": false, - "reason": "Both involve LoRA export/visibility, but one is about push_to_hub creating only the repo and the other about LoRA not showing in UI; not the same concrete issue." + "reason": "One is a push-to-hub repo-creation bug in a training script, the other is LoRA visibility in UIs." }, { "left": "issue:7061", "right": "issue:7418", "accept": false, - "reason": "Incorrect docstring vs a bug in a community upscale pipeline; unrelated artifacts." + "reason": "Docstring mismatch versus a code bug in a community pipeline; not the same defect." }, { "left": "issue:8451", "right": "issue:9336", "accept": false, - "reason": "Training-script documentation/frozen-parameter concern vs IP-Adapter parameters requiring grad; different code paths." + "reason": "Both mention training internals, but one concerns frozen UNet params and the other requires_grad on IPAdapter layers." }, { "left": "issue:11885", "right": "issue:13162", "accept": false, - "reason": "Both are FLUX/LoRA-related, but one is a load_lora_weights bug and the other is support for a specific model; not the same underlying bug." + "reason": "Same model family, but one reports a LoRA loading bug and the other requests LoRA support; different underlying change." }, { "left": "issue:4631", "right": "issue:6949", "accept": false, - "reason": "Both scheduler-related, but one is a scalar conversion error and the other is blank images on even steps; distinct symptoms and likely causes." + "reason": "Both involve the scheduler, but the symptoms and triggers differ enough that they are not the same bug." }, { "left": "issue:2097", "right": "issue:6162", "accept": false, - "reason": "UNet1D usage problem vs SDXL IP-Adapter shape mismatch; different models and code paths." + "reason": "UNet1D usage problem versus SDXL IP-Adapter shape mismatch; unrelated code paths." }, { "left": "issue:7735", "right": "issue:8613", "accept": false, - "reason": "Caption-column training error vs OOM during captioned training; different failure modes." + "reason": "Caption-column validation error versus OOM during caption-based training; different failure modes." }, { "left": "issue:5553", "right": "issue:5917", "accept": false, - "reason": "Custom model loading failure vs checkpoint conversion failing after version upgrade; not the same bug." + "reason": "Custom model loading failure versus a checkpoint conversion regression after upgrade; not the same issue." }, { "left": "issue:11047", "right": "issue:8502", "accept": false, - "reason": "Missing controlnet pag inpaint model vs SD3 generating 512x512 images; unrelated issues." + "reason": "Different pipeline/model support requests; no shared concrete bug." }, { "left": "issue:1519", "right": "issue:5485", "accept": false, - "reason": "Noisy batch inference on Apple M2 vs slow ControlNet batch inference; different symptoms and environments." + "reason": "Apple M2 noisy outputs versus slow ControlNet batch inference; same broad area only." }, { "left": "issue:4701", "right": "issue:7575", "accept": false, - "reason": "AutoencoderKL CUDA differentiation error vs Transformer2DModel adanorm shape error; unrelated code paths." + "reason": "Autoencoder decoder CUDA/dtype error versus Transformer2DModel shape error; distinct bugs." }, { "left": "issue:5598", "right": "issue:9477", "accept": false, - "reason": "Text encoder modification bug vs GatheredParameters callable error; different implementations and failures." + "reason": "A text-encoder modification bug versus a callable error in GatheredParameters; no common code failure." }, { "left": "issue:5605", "right": "issue:6529", "accept": false, - "reason": "Per-image caption support request vs SDXL Fooocus Inpaint feature/issue; not duplicates." + "reason": "Dreambooth per-image caption support request versus an SDXL inpaint topic; unrelated." }, { "left": "issue:5743", "right": "issue:8551", "accept": false, - "reason": "Training stuck at 0% vs device-map latent placement bug in inpaint pipeline; different problems." + "reason": "Training stuck at 0% versus VAE latent device placement in inpaint; different root causes." }, { "left": "issue:10035", "right": "issue:9568", "accept": false, - "reason": "Memory growth in CogVideoX VAE decoder vs CogVideoX autoencoder reconstruction failure; related area but not the same concrete bug." + "reason": "Both concern CogVideoX VAE/autoencoder, but memory regression and reconstruction failure are different bugs." }, { "left": "issue:7950", "right": "issue:9889", "accept": false, - "reason": "General PyTorch compatibility issue vs SDXL-turbo segmentation fault on a specific torch/CUDA build; different failure modes." + "reason": "Torch/Diffusers incompatibility versus a segmentation fault on a specific torch build; not the same defect." }, { "left": "issue:4266", "right": "issue:7239", "accept": false, - "reason": "Mac SDXL broadcast incompatibility vs Dreambooth SDXL LoRA matmul shape mismatch; different shape errors in different scripts." + "reason": "Mac SDXL broadcast issue versus Dreambooth LoRA matmul shape mismatch; different models and failures." }, { "left": "issue:6574", "right": "issue:7695", "accept": false, - "reason": "SVD pipeline warning about tensor range vs IP-Adapter mask warning in attention processor; unrelated issues." + "reason": "SVD pipeline warning versus IP-Adapter mask handling warning; same area of attention code but not one bug." }, { "left": "issue:4206", "right": "issue:8850", "accept": false, - "reason": "ControlNet training broken on main vs community pipelines mirror broken; one is training code, the other repository mirroring." - }, - { - "left": "issue:10596", - "right": "issue:11839", - "accept": false, - "reason": "FluxControlPipeline invalid shape vs FluxKontextPipeline gguf input size error; similar family but different pipelines and failure points." - }, - { - "left": "issue:1964", - "right": "issue:5429", - "accept": false, - "reason": "Pytorch 2.0 support planning vs support for models without VAE in examples; entirely different requests." + "reason": "ControlNet SDXL training breakage versus community pipeline mirror broken; unrelated problems." } ] }, @@ -82636,19 +82536,19 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10303", + "issue:10596", "issue:11436", "issue:11497", + "issue:11839", "issue:12610", "issue:1405", - "issue:1486", "issue:1746", - "issue:1990", + "issue:1964", "issue:2044", "issue:2392", - "issue:2437", "issue:2786", "issue:2966", "issue:3182", @@ -82663,7 +82563,6 @@ "issue:4269", "issue:4353", "issue:4383", - "issue:4414", "issue:4438", "issue:4993", "issue:5079", @@ -82671,6 +82570,7 @@ "issue:5335", "issue:5368", "issue:5372", + "issue:5429", "issue:5570", "issue:579", "issue:5980", @@ -82688,6 +82588,8 @@ "issue:9926" ], "soft_pairs": [ + "issue:10596|issue:11839", + "issue:1964|issue:5429", "issue:2044|issue:2966", "issue:2786|issue:861", "issue:3287|issue:4241", @@ -82710,188 +82612,186 @@ "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:1405|issue:3854" ], - "prepared_review_unit_hash": "a6b8758add6588aad034c2440dbc0214816d5301ae3beb7ec02d11983d373334", + "prepared_review_unit_hash": "75f4b330573ec9a0ba7c71b4b54c9a769b4050a7739239596282e7403376c814", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 34017, - "estimated_input_tokens": 8505, - "estimated_eval_tokens": 17266 + "serialized_chars": 34064, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose mix of unrelated bug reports and feature requests across attention internals, SDXL/SD3 pipelines, offload/quantization, training scripts, and packaging. The soft pairs are mostly superficial keyword matches rather than the same underlying defect or change.", - "confidence": 0.96, - "canonical_issue_reason": "No clear canonical issue: the items span unrelated bugs, features, and pipelines rather than one shared root cause.", + "summary": "This cluster is not a true duplicate set: the items span many unrelated Diffusers bugs, feature requests, and training/runtime errors. No soft-edge pair looks like the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:10303 is the most specific code-level bug report, but it still does not represent the rest of this heterogeneous cluster.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10596", + "right": "issue:11839", + "accept": false, + "reason": "Both mention shape-related failures, but they affect different pipelines and different failure modes (FluxControlPipeline invalid shape vs FluxKontextPipeline gguf input-size error)." + }, + { + "left": "issue:1964", + "right": "issue:5429", + "accept": false, + "reason": "PyTorch 2.0 support planning is unrelated to adding support for models without a VAE in examples." + }, { "left": "issue:2044", "right": "issue:2966", "accept": false, - "reason": "Different failures: DDP dtype attribute error vs a multi-GPU training script problem." + "reason": "A DDP dtype attribute error is a different bug from a multi-GPU training example problem." }, { "left": "issue:2786", "right": "issue:861", "accept": false, - "reason": "Different code paths: numpy input handling in Depth2Img vs ckpt-to-diffusers conversion." + "reason": "One is a numpy/transformers compatibility issue in Depth2Img; the other is ckpt-to-diffusers conversion. Different code paths." }, { "left": "issue:3287", "right": "issue:4241", "accept": false, - "reason": "One is a new DDPM support request; the other is a LoRA fine-tuning feature request." + "reason": "General improved DDPM support and LoRA fine-tuning support are separate feature requests, not the same change." }, { "left": "issue:3287", "right": "issue:5079", "accept": false, - "reason": "Both are feature requests, but for different functionality: improved DDPM vs LyCORIS loading." + "reason": "Improved DDPM support and loading LyCORIS weights are different model/adapter features." }, { "left": "issue:3970", "right": "issue:4353", "accept": false, - "reason": "Prompt embeddings bug in SDXL is not the same as a general image quality complaint." + "reason": "Prompt embeddings not working in SDXL is a concrete functional bug; poor generation quality is a broad, different complaint." }, { "left": "issue:3975", "right": "issue:7914", "accept": false, - "reason": "Typo in an error message is unrelated to a device_map/textual inversion runtime error." + "reason": "A typo in an error message is unrelated to a device_map/balanced textual inversion runtime failure." }, { "left": "issue:4241", "right": "issue:8615", "accept": false, - "reason": "Different features: unidiffusers LoRA fine-tuning vs fuse_lora support for SD3." + "reason": "Both concern LoRA, but one is about fine-tuning unidiffusers and the other about fuse_lora on SD3; not the same bug or patch." }, { "left": "issue:4269", "right": "issue:5171", "accept": false, - "reason": "Both are argument-handling issues, but they affect different pipelines and different parameters." + "reason": "ControlNet input validation TypeError and SDXL safety_checker constructor mismatch are different pipeline API issues." }, { "left": "issue:4383", "right": "issue:5980", "accept": false, - "reason": "Automatic1111 export/import question is unrelated to model file format support." + "reason": "ControlNet model deployment guidance is unrelated to whether generated models are .pth or .safetensors." }, { "left": "issue:4438", "right": "issue:5372", "accept": false, - "reason": "Generic SDXL pipeline error vs a specific safety_checker usage question." + "reason": "A generic SDXL pipeline error is not the same as specifically using safety_checker in SDXL." }, { "left": "issue:4993", "right": "issue:5570", "accept": false, - "reason": "Missing CLIPImageProjection export is unrelated to missing compute_snr in training_utils." + "reason": "Missing CLIPImageProjection import structure and missing compute_snr in training_utils are separate packaging/import problems." }, { "left": "issue:6161", "right": "issue:9241", "accept": false, - "reason": "Sigma scheduling behavior and LoRA conversion script are different problems." + "reason": "Scheduler sigma handling is unrelated to converting XLab LoRA formats via a script." }, { "left": "issue:6486", "right": "issue:8543", "accept": false, - "reason": "Dreambooth embedding retraction bug is unrelated to SD3 gradient checkpointing failure." + "reason": "Embedding retraction happening twice and SD3 dreambooth gradient checkpointing failure are different training bugs." }, { "left": "issue:8482", "right": "issue:9926", "accept": false, - "reason": "New SD3 model support and GGUF quantization/speedup are distinct feature requests." + "reason": "Support for SD3-medium and gguf quantize/speed-up support are distinct feature requests." }, { "left": "issue:1746", "right": "issue:579", "accept": false, - "reason": "Flax pipeline error is unrelated to a missing config.json in textual inversion." + "reason": "A Flax Stable Diffusion error and a missing config.json in textual inversion are unrelated subsystems." }, { "left": "issue:3401", "right": "issue:5368", "accept": false, - "reason": "Class-label validation for class embeddings is unrelated to mixed-precision QKV dtype mismatch." + "reason": "Class labels required for num_class_embeds and mixed-precision Q/K/V dtype mismatch are different validation/runtime issues." }, { "left": "issue:3182", "right": "issue:3958", "accept": false, - "reason": "Both mention offload, but one is lpw_stable_diffusion CPU offload and the other is LoRA with CPU offload." + "reason": "Both involve offload, but one is lpw_stable_diffusion with model CPU offload and the other is LoRA with CPU offload; different concrete failure paths." }, { "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 CPU/GPU device mismatch with Quanto offload." + "reason": "Half-vs-bfloat16 matmul dtype mismatch in Hidream is not the same as weights-on-CPU / mat1-on-GPU device mismatch with Quanto plus group offload." }, { "left": "issue:2392", "right": "issue:5335", "accept": false, - "reason": "Prompt_embeds validation bug is unrelated to local deployment behind blocked Hugging Face access." + "reason": "Prompt_embeds NoneType validation error is unrelated to deployment behind a regional Hugging Face block." }, { "left": "issue:4255", "right": "issue:8393", "accept": false, - "reason": "Image quality comparison issue is unrelated to checkpoint shard loading performance." + "reason": "Image quality complaints and slow checkpoint shard loading are unrelated." }, { "left": "issue:10303", "right": "issue:7968", "accept": false, - "reason": "Attention.head_to_batch_dim permutation bug is not the same as a motion-module attention issue." + "reason": "A tensor permutation bug in Attention.head_to_batch_dim is different from general attention behavior in UNetMotionModel's motion module." }, { "left": "issue:11497", "right": "issue:8507", "accept": false, - "reason": "Dataset cache invalidation bug is unrelated to SD3 dreambooth text-encoder training failure." + "reason": "Dataset preprocessing cache key behavior and SD3 train_text_encoder failure are separate training issues." }, { "left": "issue:1405", "right": "issue:3854", "accept": false, - "reason": "Attention slicing regression is unrelated to a StableDiffusionPipeline.from_ckpt lockup." - }, - { - "left": "issue:1486", - "right": "issue:4414", - "accept": false, - "reason": "DDIMScheduler prediction_type='sample' bug is unrelated to sampling a consistency model." - }, - { - "left": "issue:1990", - "right": "issue:2437", - "accept": false, - "reason": "These are separate pipeline proposals for different models and use cases, not the same change." + "reason": "Broken attention slicing and a locked from_ckpt load path are different bugs." } ] }, @@ -82913,26 +82813,26 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10227", "issue:11329", "issue:11437", "issue:11874", - "issue:12009", "issue:13221", + "issue:1486", + "issue:1990", "issue:2331", "issue:2332", - "issue:3112", + "issue:2437", "issue:3233", "issue:3643", - "issue:3683", "issue:3699", "issue:3808", "issue:3975", "issue:4116", "issue:4117", "issue:4325", + "issue:4414", "issue:4846", "issue:497", "issue:5016", @@ -82941,6 +82841,7 @@ "issue:5284", "issue:5485", "issue:5866", + "issue:5917", "issue:6093", "issue:6222", "issue:6242", @@ -82952,8 +82853,8 @@ "issue:6958", "issue:7142", "issue:7197", + "issue:7300", "issue:7440", - "issue:7450", "issue:7640", "issue:9350", "issue:9476", @@ -82964,6 +82865,8 @@ "issue:9901" ], "soft_pairs": [ + "issue:1486|issue:4414", + "issue:1990|issue:2437", "issue:4116|issue:6958", "issue:5016|issue:6288", "issue:5017|issue:6412", @@ -82976,6 +82879,7 @@ "issue:2331|issue:6533", "issue:4325|issue:5233", "issue:7142|issue:9889", + "issue:5917|issue:7300", "issue:3699|issue:970", "issue:11874|issue:13221", "issue:2332|issue:4846", @@ -82984,183 +82888,180 @@ "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:6250|issue:7197" ], - "prepared_review_unit_hash": "776782dfd8b1808b025cb0d6c4bcc49c951fe181ae3f8da9c5da660279b0ab7d", + "prepared_review_unit_hash": "f2c03fab49bee0624b13f554a55e5f915b3be8d48d0562469efd6b274ed30821", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33288, - "estimated_input_tokens": 8322, - "estimated_eval_tokens": 16900 + "serialized_chars": 33711, + "estimated_input_tokens": 8428, + "estimated_eval_tokens": 17112 }, "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 bugs, feature requests, and model-specific training/inference problems. All soft-edge matches look like false positives and should stay separate.", - "confidence": 0.95, - "canonical_issue_reason": "issue:10227 is the most concrete, self-contained bug report with a clear exception and an actionable technical scope; none of the other issues describe the same underlying LoRA limitation.", + "summary": "This cluster is mostly a set of unrelated issues that only weakly overlap by shared keywords like Dreambooth, ControlNet, LoRA, or generic error terms. I found no true duplicate pairs among the soft edges, so there is no meaningful canonical issue/PR here.", + "confidence": 0.94, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "If a single anchor is needed, issue:10227 is the best representative because it is a precise implementation bug rather than a broad request or an unrelated runtime complaint.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1486", + "right": "issue:4414", + "accept": false, + "reason": "Different problems: DDIMScheduler prediction behavior vs a consistency model sampling proposal." + }, + { + "left": "issue:1990", + "right": "issue:2437", + "accept": false, + "reason": "Separate feature requests for different pipelines (Depth2ImgVariation vs T2I-Adapter/ControlNet)." + }, { "left": "issue:4116", "right": "issue:6958", "accept": false, - "reason": "Different subsystems and failures: SDXL img2img embeddings vs unet_motion_model linear-projection behavior." + "reason": "Different code paths and symptoms: SDXL img2img embeddings vs unet_motion_model projection settings." }, { "left": "issue:5016", "right": "issue:6288", "accept": false, - "reason": "Both mention LoRA training, but one is a text-encoder training bug and the other is a learning-rate hyperparameter complaint." + "reason": "One is a text-encoder training failure; the other is a learning-rate tuning complaint." }, { "left": "issue:5017", "right": "issue:6412", "accept": false, - "reason": "Unrelated ControlNet feature requests: control mode vs ONNX annotators." + "reason": "Different ControlNet requests: control mode vs annotators exported to ONNX." }, { "left": "issue:6242", "right": "issue:7440", "accept": false, - "reason": "A dataset/log request and a dataset availability report are not the same bug." + "reason": "Unrelated dataset/logging discussion; no shared bug or code path." }, { "left": "issue:9704", "right": "issue:9901", "accept": false, - "reason": "Different runtime errors in different code paths: cuDNN execution-plan failure vs tuple/shape processor error." + "reason": "Distinct runtime errors in different attention/backend paths; not the same bug." }, { "left": "issue:11437", "right": "issue:9476", "accept": false, - "reason": "Missing training outputs/validation images is unrelated to a Flux validation dtype mismatch." + "reason": "Different training failures: missing outputs/validation images vs BF16 input/bias mismatch." }, { "left": "issue:6570", "right": "issue:9350", "accept": false, - "reason": "Tensor shape mismatch during SDXL InstructPix2Pix is not the same as the txt_ids deprecation warning." + "reason": "Different SDXL issues: tensor shape mismatch vs txt_ids deprecation warning." }, { "left": "issue:11329", "right": "issue:9530", "accept": false, - "reason": "Different memory issues: bitsandbytes 8-bit leak vs memory freeing after torch.compile." + "reason": "Both mention memory, but one is a bitsandbytes leak and the other is torch.compile/UNet GPU memory freeing." }, { "left": "issue:3643", "right": "issue:7640", "accept": false, - "reason": "Both are latent/size-related, but they are distinct errors in different decode/load paths." + "reason": "Different failures: latent upsample INT_MAX limit vs from_single_file dimension/runtime error." }, { "left": "issue:2331", "right": "issue:6533", "accept": false, - "reason": "A generic ControlNet pipeline request is not the same as a Marigold pipeline request." + "reason": "Separate feature requests for ControlNet and Marigold pipelines." }, { "left": "issue:4325", "right": "issue:5233", "accept": false, - "reason": "Black-image/NaN output and wrong callback step value are unrelated." + "reason": "Black-image/NaN rendering issue vs wrong callback step parameter." }, { "left": "issue:7142", "right": "issue:9889", "accept": false, - "reason": "Inference output mismatch vs segmentation fault are different failure modes and likely different causes." + "reason": "Both are inference problems, but one is output mismatch and the other is a segmentation fault." + }, + { + "left": "issue:5917", + "right": "issue:7300", + "accept": false, + "reason": "Unrelated UNet conversion regression vs GPU memory usage after changing attention processor." }, { "left": "issue:3699", "right": "issue:970", "accept": false, - "reason": "CUDA-on-macOS support error is unrelated to integration-test failures." + "reason": "Mac/CUDA availability error is unrelated to generic integration test failures." }, { "left": "issue:11874", "right": "issue:13221", "accept": false, - "reason": "LoRA exclude/target-module filtering is a concrete bug; Zimage LoRA support is a separate feature/support issue." + "reason": "Both involve LoRA, but one is exclude_modules behavior and the other is Zimage support." }, { "left": "issue:2332", "right": "issue:4846", "accept": false, - "reason": "Dreambooth inference after training and a strange training result do not indicate the same underlying defect." + "reason": "Different Dreambooth reports: inference-after-training error vs strange training result." }, { "left": "issue:3233", "right": "issue:6093", "accept": false, - "reason": "LoRA conversion/export and push_to_hub repository creation are different concerns." + "reason": "Unrelated LoRA export request vs push_to_hub repo-creation behavior." }, { "left": "issue:3808", "right": "issue:4117", "accept": false, - "reason": "Different model families and training contexts: DeepFloyd IF stage 2 vs SDXL Dreambooth." + "reason": "Different Dreambooth/model-specific failures: DeepFloyd IF stage 2 vs SDXL Dreambooth." }, { "left": "issue:5284", "right": "issue:5866", "accept": false, - "reason": "ControlNet-LLLite support request is not the same as AnimateDiff + ControlNet integration." + "reason": "ControlNet-LLLite support request is unrelated to AnimateDiff + ControlNet." }, { "left": "issue:3975", "right": "issue:497", "accept": false, - "reason": "Both are typo reports, but they concern different messages/methods and are not the same change." + "reason": "Both are typos, but in different error messages and code locations." }, { "left": "issue:5485", "right": "issue:6222", "accept": false, - "reason": "ControlNet batch inference slowness and DDPM scheduler batch-size dependence are unrelated issues." + "reason": "Different problems: ControlNet batch inference performance vs DDPM batch-size dependency." }, { "left": "issue:6250", "right": "issue:7197", "accept": false, - "reason": "Different KeyError contexts: SDXL VAE single-file loading vs resume-training shortest-edge preprocessing." - }, - { - "left": "issue:3683", - "right": "issue:7450", - "accept": false, - "reason": "Saving a Multi-ControlNet model and AutoencoderKL multithreading are separate problems." - }, - { - "left": "issue:10227", - "right": "issue:12009", - "accept": false, - "reason": "LoRA feature-limit NotImplementedError and Wan2.2 GGUF single-file loading failure are unrelated." - }, - { - "left": "issue:3112", - "right": "issue:5284", - "accept": false, - "reason": "Multi-ControlNet inpainting pipeline work and ControlNet-LLLite support are not the same underlying change." + "reason": "Both mention KeyError, but the failing contexts are unrelated (SDXL VAE load vs text-image resume)." } ] }, @@ -83182,21 +83083,21 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10239", - "issue:10653", + "issue:10227", + "issue:12009", "issue:1537", "issue:1672", "issue:1708", "issue:2185", "issue:2659", - "issue:2988", - "issue:3280", + "issue:3112", "issue:3355", "issue:338", "issue:3380", "issue:339", + "issue:3683", "issue:3730", "issue:3937", "issue:3948", @@ -83211,10 +83112,10 @@ "issue:5135", "issue:5153", "issue:5256", + "issue:5284", "issue:5575", "issue:5578", "issue:5607", - "issue:5685", "issue:5925", "issue:5977", "issue:6252", @@ -83223,8 +83124,8 @@ "issue:6454", "issue:6731", "issue:6901", - "issue:7214", "issue:7333", + "issue:7450", "issue:8264", "issue:9032", "issue:9278", @@ -83233,6 +83134,9 @@ "issue:9471" ], "soft_pairs": [ + "issue:3683|issue:7450", + "issue:10227|issue:12009", + "issue:3112|issue:5284", "issue:338|issue:4416", "issue:3380|issue:3730", "issue:339|issue:4416", @@ -83253,153 +83157,168 @@ "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:2659|issue:5607" ], - "prepared_review_unit_hash": "6cc70f8468b1af4cae3a7e6ea27f02d0bf1cd41d002bd0d47e4dc21246cb8359", + "prepared_review_unit_hash": "505ea36e93a34aabb0b0c3209a3761c36ec4694d21e831764492a31a0819a59d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33082, - "estimated_input_tokens": 8271, - "estimated_eval_tokens": 16798 + "serialized_chars": 33038, + "estimated_input_tokens": 8260, + "estimated_eval_tokens": 16776 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is highly heterogeneous: most items are unrelated diffusion/training/scheduler/loading bugs that only share broad ML-library vocabulary. None of the soft pairs look like the same concrete bug or change, so all should stay separate.", - "confidence": 0.93, - "canonical_issue_reason": "Issue 10239 is the clearest concrete report in the set and the only one directly tied to a specific HunyuanVideo pipeline offload limitation, so it is the best weak anchor if one issue must represent the cluster.", + "summary": "This cluster is a set of soft-similarity false positives: the issues span many unrelated topics (LoRA loading/training, schedulers, MPS/ONNX, config files, image-size bugs, etc.), so none of the proposed pairs look like the same underlying bug.", + "confidence": 0.98, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "10239 is the most actionable and specific of the listed issues; the others are mostly distinct bugs, feature requests, or environment-specific failures.", - "best_pr_reason": null, + "best_issue_reason": "No single issue is a safe canonical representative; the items are thematically scattered and the soft links do not indicate true duplication.", + "best_pr_reason": "No PRs are present in this cluster.", "soft_edge_verdicts": [ + { + "left": "issue:3683", + "right": "issue:7450", + "accept": false, + "reason": "Different problems: saving Multi-ControlNet vs AutoencoderKL multithreading issues." + }, + { + "left": "issue:10227", + "right": "issue:12009", + "accept": false, + "reason": "Unrelated loading failures: LoRA feature-size limitation vs Wan2.2 GGUF meta-tensor copy error." + }, + { + "left": "issue:3112", + "right": "issue:5284", + "accept": false, + "reason": "Different features: multi-ControlNet inpainting vs ControlNet-LLLite support." + }, { "left": "issue:338", "right": "issue:4416", "accept": false, - "reason": "Both are test-related, but one is about LMS Discrete tests and the other is generic T2I Adapter test improvements; not the same bug or fix." + "reason": "One is LMS scheduler test coverage; the other is T2I Adapter tests, not the same bug/change." }, { "left": "issue:3380", "right": "issue:3730", "accept": false, - "reason": "Hard-coded embedding size vs. wrong timestep in inpainting blending are unrelated model/config bugs." + "reason": "Embedding-size/config mismatch is not the same as incorrect inpainting timestep blending." }, { "left": "issue:339", "right": "issue:4416", "accept": false, - "reason": "Different test targets: Karras VE tests vs. T2I Adapter tests." + "reason": "Different test targets: Karras VE tests vs T2I Adapter tests." }, { "left": "issue:3937", "right": "issue:4321", "accept": false, - "reason": "Both concern video/ONNX pipeline behavior, but one is ZeroscopeXL compatibility and the other is DirectML FP16 black images; different failure modes." + "reason": "Different runtime failures: ZeroscopeXL model loading vs ONNX DirectML black images on FP16." }, { "left": "issue:4279", "right": "issue:5108", "accept": false, - "reason": "Both mention LoRA-related loading/exceptions, but one is SDXL 0.9 CivitAI LoRAs and the other is T2I Multiadapter XL exceptions; not the same code-path." + "reason": "Both involve adapters/LoRAs, but the concrete issues differ: SDXL LoRA loading vs T2I Multiadapter exceptions." }, { "left": "issue:4403", "right": "issue:5578", "accept": false, - "reason": "LayerNorm half-precision kernel failure is a runtime backend issue, while the other is an invalid model directory/model_index.json loading error." + "reason": "Different error classes and code paths: PyTorch Half LayerNorm support vs missing model_index.json." }, { "left": "issue:4554", "right": "issue:9032", "accept": false, - "reason": "Both are OOM/memory-related examples, but they refer to different pipelines and contexts; not the same bug." + "reason": "Kandinsky example OOM is unrelated to a TPU minimum working example request." }, { "left": "issue:5135", "right": "issue:5575", "accept": false, - "reason": "LoRA quality degradation with xformers is a quality regression, while transformer_in hidden size is a configuration question." + "reason": "LoRA quality/xformers discussion is unrelated to setting transformer_in hidden size during LoRA training." }, { "left": "issue:5153", "right": "issue:7333", "accept": false, - "reason": "FreeU feature request/introductory issue vs. image-to-video noise rectification research issue; different changes entirely." + "reason": "FreeU feature request is unrelated to image-to-video noise rectification." }, { "left": "issue:5256", "right": "issue:5925", "accept": false, - "reason": "Insta-Flow training support and ZipLora multi-LoRA inference are separate feature requests." + "reason": "Different changes: Insta-Flow training support vs adding ZipLoRA for multi-LoRA inference." }, { "left": "issue:5977", "right": "issue:6399", "accept": false, - "reason": "One is about saving wrong LoRA checkpoint keys; the other is visibility/loading of pytorch_lora_weights in UIs." + "reason": "Different save/load problems: training-time key naming vs LoRA visibility in external UIs." }, { "left": "issue:6454", "right": "issue:6731", "accept": false, - "reason": "FP16 gradient unscale error during LoRA training is unrelated to unhandled pipeline class dispatch." + "reason": "Both are ValueErrors, but they stem from different bugs: FP16 gradient scaling vs unhandled pipeline class." }, { "left": "issue:6901", "right": "issue:9370", "accept": false, - "reason": "Missing FlaxDDIMScheduler clip_sample implementation is unrelated to a missing pooled_projection argument in a text projection module." + "reason": "Missing clip_sample in FlaxDDIMScheduler is unrelated to a missing pooled_projection argument." }, { "left": "issue:8264", "right": "issue:9278", "accept": false, - "reason": "Training stopped at 0% and FLUX.1-dev multigpu dreambooth are different training failures with different setups." + "reason": "Train stopped at 0% is not the same as FLUX multigpu Dreambooth training." }, { "left": "issue:6363", "right": "issue:9471", "accept": false, - "reason": "FP16 gradient scaling error during training is unrelated to CoreML resource type inference from multiple file extensions." + "reason": "Different failure modes: FP16 gradient unscale during LoRA training vs CoreML resource-type inference error." }, { "left": "issue:1537", "right": "issue:457", "accept": false, - "reason": "Both are MPS-related, but one is scheduler behavior on Apple MPS and the other is visual artifacts on MPS; not the same defect." + "reason": "Different MPS issues: scheduler-specific behavior vs blue artifacts on MPS." }, { "left": "issue:1708", "right": "issue:2185", "accept": false, - "reason": "Both ask about configs, but one is inference YAML passing and the other is missing training config files; different requests." + "reason": "One asks how to pass a YAML config for inference; the other reports missing training config files." }, { "left": "issue:6252", "right": "issue:9320", "accept": false, - "reason": "Both involve saved finetuned/Lora models, but one is checkpoint loading and the other is custom diffusion save/load behavior." + "reason": "Both mention finetuned weights, but the concrete problems differ: checkpoint LoRA loading vs saving/loading custom diffusion finetunes." }, { "left": "issue:3355", "right": "issue:3975", "accept": false, - "reason": ".safetensors loading inconsistency is not the same as a typo in the safetensors install error message." + "reason": "Safetensors loading inconsistency is unrelated to a typo in an error message." }, { "left": "issue:1672", @@ -83411,25 +83330,7 @@ "left": "issue:2659", "right": "issue:5607", "accept": false, - "reason": "Both are tensor/output-shape symptoms, but one is batch-size-dependent image variation and the other is a hard tensor concat size mismatch." - }, - { - "left": "issue:3280", - "right": "issue:7214", - "accept": false, - "reason": "Both are scheduler-related, but one is DeepFloyd IF non-default scheduler compatibility and the other is a DPMSolverMultistep karras_sigmas regression." - }, - { - "left": "issue:10239", - "right": "issue:10653", - "accept": false, - "reason": "Same model family, but one is lack of sequential CPU offload support and the other is bitsandbytes 8-bit modules refusing .to(cpu); related but distinct bugs." - }, - { - "left": "issue:2988", - "right": "issue:5685", - "accept": false, - "reason": "Scheduler crashes at equal train/inference steps and vague potential scheduler issues are too broad to be the same concrete bug." + "reason": "Batch-size-dependent image variation is a different bug than tensor-size mismatch during concatenation." } ] }, @@ -83451,35 +83352,35 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10239", + "issue:10653", "issue:10865", "issue:10954", "issue:11343", "issue:12147", "issue:13261", "issue:1363", - "issue:1405", "issue:1633", "issue:1730", "issue:2599", + "issue:2988", "issue:3008", + "issue:3280", "issue:3303", "issue:3441", - "issue:3597", "issue:3880", - "issue:409", "issue:4111", - "issue:4446", "issue:4720", "issue:5079", "issue:514", "issue:5429", "issue:5607", "issue:5678", + "issue:5685", "issue:5989", "issue:6222", - "issue:6335", "issue:6385", "issue:6431", "issue:6506", @@ -83490,10 +83391,10 @@ "issue:7142", "issue:7183", "issue:7185", + "issue:7214", "issue:7217", "issue:7355", "issue:7549", - "issue:8435", "issue:8970", "issue:9167", "issue:9361", @@ -83502,6 +83403,9 @@ "issue:9488" ], "soft_pairs": [ + "issue:3280|issue:7214", + "issue:10239|issue:10653", + "issue:2988|issue:5685", "issue:7183|issue:7217", "issue:3880|issue:4720", "issue:10865|issue:7185", @@ -83522,189 +83426,186 @@ "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:8970|issue:9488" ], - "prepared_review_unit_hash": "99ce5d50aae96d807ffd6ebaa440dbd83b2981fdda1263d4c765d475f84eedaf", + "prepared_review_unit_hash": "f107cbdf30a90a935eef0105bde75e8e735200f2fb26abee5ca3f3c8f185052b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33273, - "estimated_input_tokens": 8319, - "estimated_eval_tokens": 16894 + "serialized_chars": 33337, + "estimated_input_tokens": 8335, + "estimated_eval_tokens": 16926 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly unrelated issues grouped by superficial keyword similarity. The only clear duplicate pair is the attention_slicing regression (1405/409); the rest should stay separate.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue represents the whole cluster; if a canonical duplicate pair is needed, issue 1405 is the broader anchor for the attention_slicing regression and issue 409 is its duplicate.", + "summary": "This cluster is mostly heterogeneous and does not look like one duplicate set. The only strong duplicate-like pair is the StableVideoDiffusionPipeline memory/regression reports; the rest are distinct issues across different models, schedulers, and pipelines.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 6385 is the best representative of the only clear duplicate-like theme here: a broad StableVideoDiffusionPipeline VRAM regression, with 6956 reading like an environment-specific OOM manifestation of the same problem.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 1405 is the best representative only for the confirmed duplicate pair because it states the regression more generally; the remaining issues are too heterogeneous to share one canonical issue.", + "best_issue_reason": "Issue 6385 is the strongest global representative because it is the broadest, clearest statement of the shared failure mode in this group and can serve as the umbrella for the matching memory/OOM report.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3280", + "right": "issue:7214", + "accept": false, + "reason": "Both mention schedulers, but one is a DeepFloyd IF non-default-scheduler problem and the other is a DPMSolverMultistepScheduler karras_sigmas regression; different bugs." + }, + { + "left": "issue:10239", + "right": "issue:10653", + "accept": false, + "reason": "Both are about HunyuanVideo offload/move-to-CPU behavior, but the concrete failures differ: unsupported sequential CPU offload vs bitsandbytes 8-bit `.to()` behavior." + }, + { + "left": "issue:2988", + "right": "issue:5685", + "accept": false, + "reason": "Both are scheduler-related, but one is a hard crash at equal train/inference steps and the other is a vague scheduler-issues report with no clear same code path." + }, { "left": "issue:7183", "right": "issue:7217", "accept": false, - "reason": "Both are scheduler-related, but one is a wrong config class name and the other is DDIM config incompatibility; different bugs." + "reason": "One is a scheduler config display bug; the other is DDIM config incompatibility. Not the same underlying defect." }, { "left": "issue:3880", "right": "issue:4720", "accept": false, - "reason": "Both mention inpainting, but one is degraded unmasked areas and the other is AutoencoderTiny incompatibility; not the same defect." + "reason": "Both involve inpainting, but one is degraded unmasked regions and the other is AutoencoderTiny incompatibility with img2img/inpainting pipelines." }, { "left": "issue:10865", "right": "issue:7185", "accept": false, - "reason": "SDXL inpainting model choice is unrelated to a PyTorch version/support question." + "reason": "SDXL model choice for inpainting is unrelated to pytorch-version support." }, { "left": "issue:10954", "right": "issue:9361", "accept": false, - "reason": "Both involve Flux LoRA loading, but one is a load failure and the other is a no-effect inference report; not enough to treat as the same bug." + "reason": "Both involve FLUX LoRA loading, but the reports point to different symptoms and contexts; not enough to treat as the same concrete bug." }, { "left": "issue:12147", "right": "issue:13261", "accept": false, - "reason": "Different model families and failure modes; both are LoRA issues but not the same concrete code path." + "reason": "Different models and different LoRA-loading failures; only the broad LoRA theme matches." }, { "left": "issue:1633", "right": "issue:5079", "accept": false, - "reason": "Karras sigma support in a scheduler wrapper is unrelated to loading a specific LoRA by name." + "reason": "karras sigmas support in a wrapper pipeline is unrelated to Lyrocis LoRA loading support." }, { "left": "issue:3303", "right": "issue:514", "accept": false, - "reason": "Missing triton is a dependency/environment problem, not the attention_slicing API error." + "reason": "Missing triton in Modelscope and attention slicing errors are unrelated." }, { "left": "issue:5429", "right": "issue:6513", "accept": false, - "reason": "Support for models without VAE is unrelated to missing T2IAdapter model support." + "reason": "One is about models without a VAE in examples; the other is T2IAdapter support for a specific model. Different feature requests." }, { "left": "issue:6572", "right": "issue:9387", "accept": false, - "reason": "Different pipelines and different features; no shared bug or fix path." + "reason": "Different pipelines entirely: ControlNetXS-SDXL-Inpaint vs MimicMotion." }, { "left": "issue:6639", "right": "issue:7142", "accept": false, - "reason": "Both are SDXL inference differences, but one is about load_lora_weights semantics and the other is lightning output mismatch; too different to merge." + "reason": "Both are SDXL output mismatch reports, but one is about load_lora_weights behavior and the other compares lightning inference against webui; not the same bug." }, { "left": "issue:6506", "right": "issue:6956", "accept": false, - "reason": "Output type shape/return bug versus CUDA out-of-memory; different problems." + "reason": "One is an output-type API bug and the other is a CUDA OOM/memory issue; unrelated." }, { "left": "issue:1730", "right": "issue:2599", "accept": false, - "reason": "Model conversion to CKPT is unrelated to multi-subject DreamBooth quality degradation." + "reason": "Dreambooth-to-CKPT conversion and multi-subject training quality are different problems." }, { "left": "issue:3441", "right": "issue:5678", "accept": false, - "reason": "VRAM usage regression is unrelated to higher-order autograd failures in scaled_dot_product_attention." + "reason": "Higher VRAM usage in PyTorch 2 and higher-order-derivative attention errors are unrelated." }, { "left": "issue:1363", "right": "issue:3008", "accept": false, - "reason": "Both are lpw/ONNX-related, but one is a scheduler argument error and the other is an invalid torch.randn call; not the same bug." + "reason": "ONNX prompt-weight scheduler error and invalid torch.randn arguments in lpw_stable_diffusion are not the same bug." }, { "left": "issue:6385", "right": "issue:6956", - "accept": false, - "reason": "Both concern StableVideoDiffusion memory use, but one is general high VRAM and the other is a SageMaker OOM report; insufficiently specific to unify." + "accept": true, + "reason": "Both describe the same StableVideoDiffusionPipeline memory regression: unusually high VRAM use / CUDA OOM on the same pipeline." }, { "left": "issue:7355", "right": "issue:9476", "accept": false, - "reason": "Different failures: Stable Cascade resolution/bfloat16 error versus Flux LoRA validation dtype mismatch." + "reason": "Stable Cascade bfloat16/resolution failure and Flux LoRA validation dtype mismatch are different code paths and symptoms." }, { "left": "issue:5607", "right": "issue:6222", "accept": false, - "reason": "Tensor dimension mismatch is not the same as DDPM scheduler batch-size dependence." + "reason": "Tensor size mismatch in a model path is not the same as DDPM scheduler batch-size dependence." }, { "left": "issue:11343", "right": "issue:9167", "accept": false, - "reason": "Both are import errors, but they refer to different missing symbols and likely different root causes." + "reason": "Import breakage after a transformers update is unrelated to a missing StableDiffusion3Pipeline import name." }, { "left": "issue:4111", "right": "issue:6431", "accept": false, - "reason": "Specific SDXL img2img VRAM limit versus a broad 'pipelines won't load' report; not the same issue." + "reason": "One is an SDXL Img2Img VRAM issue; the other is a broad pipeline-loading regression." }, { "left": "issue:5989", "right": "issue:7549", "accept": false, - "reason": "A safetensors library bug is unrelated to a UNet EMA training issue." + "reason": "A safetensors bug and a UNet EMA bug in training are unrelated." }, { "left": "issue:8970", "right": "issue:9488", "accept": false, - "reason": "Both are 'no image' symptoms, but on different pipelines/backends and with no shared concrete failure path." - }, - { - "left": "issue:1405", - "right": "issue:409", - "accept": true, - "reason": "Same regression: calling enable_attention_slicing on StableDiffusionPipeline fails because the method is missing on main." - }, - { - "left": "issue:4446", - "right": "issue:8435", - "accept": false, - "reason": "Both mention from_single_file, but one is custom text encoder support and the other is a generic runtime error; not the same bug." - }, - { - "left": "issue:3597", - "right": "issue:6335", - "accept": false, - "reason": "Different ONNX/community-pipeline problems with different symptoms and likely different code paths." + "reason": "Different pipelines and different failure modes: Kolors MPS black output vs Lumina producing no image." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative on the soft pairs. The accepted 1405/409 pair is supported by the issue titles as the same attention_slicing regression, and the other pair rejections do not overstate evidence. No PR-pair mergeability issues apply here." + "feedback": "Grounded and conservative overall. The summary correctly treats the cluster as mostly heterogeneous and only elevates the StableVideoDiffusionPipeline memory/OOM pair as a plausible duplicate-like match. The soft-edge verdicts are cautious and the rationales do not overclaim identity where only broad thematic overlap exists." }, "evaluator_used": true, "retried": false, @@ -83723,7 +83624,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10039", "issue:10227", @@ -83731,10 +83632,9 @@ "issue:11687", "issue:13067", "issue:1335", + "issue:1405", "issue:1445", - "issue:1478", "issue:1572", - "issue:1785", "issue:1831", "issue:2089", "issue:228", @@ -83743,9 +83643,12 @@ "issue:3010", "issue:3301", "issue:3452", + "issue:3597", "issue:3631", + "issue:409", "issue:4269", "issue:444", + "issue:4446", "issue:4456", "issue:4557", "issue:4677", @@ -83753,10 +83656,9 @@ "issue:4720", "issue:5022", "issue:5138", - "issue:5433", "issue:5931", - "issue:6068", "issue:6234", + "issue:6335", "issue:6552", "issue:6584", "issue:6891", @@ -83766,15 +83668,17 @@ "issue:7456", "issue:7556", "issue:8317", + "issue:8435", "issue:8809", "issue:8887", - "issue:892", "issue:9034", "issue:9106", - "issue:9371", - "issue:984" + "issue:9371" ], "soft_pairs": [ + "issue:1405|issue:409", + "issue:4446|issue:8435", + "issue:3597|issue:6335", "issue:5931|issue:7438", "issue:1572|issue:4677", "issue:3631|issue:4720", @@ -83795,183 +83699,180 @@ "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:7456|issue:8317" ], - "prepared_review_unit_hash": "81f0764a9a8964a022e9ab846e5ef3b31dfb66acda38fd49ad1008b48fdd458d", + "prepared_review_unit_hash": "90b466088543c365593a7b45a9bd99e09f2d3add44045fd6a370d928625b1764", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33914, - "estimated_input_tokens": 8479, - "estimated_eval_tokens": 17214 + "serialized_chars": 33880, + "estimated_input_tokens": 8470, + "estimated_eval_tokens": 17196 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the issues span unrelated bugs, features, docs, training scripts, and model conversions. No soft pair looks like the same underlying change/bug, and there are no PRs in the set.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue is a good canonical representative because the items are unrelated across different subsystems and problem types.", + "summary": "No duplicate cluster emerges here: the soft pairs are mostly broad topical similarities, but they describe different bugs, features, or docs changes. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not converge on one underlying bug or change.", "canonical_pr_reason": null, - "best_issue_reason": "No best issue stands out for global representativeness; the cluster does not share one concrete code-path or change target.", + "best_issue_reason": "No single issue is a good global representative; the set is too diverse and there is no true duplicate center.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1405", + "right": "issue:409", + "accept": false, + "reason": "Both mention attention slicing, but one is a missing/absent API symptom and the other is a broken call on main; not the same concrete bug." + }, + { + "left": "issue:4446", + "right": "issue:8435", + "accept": false, + "reason": "Both involve from_single_file runtime problems, but they report different failure modes and likely different code paths." + }, + { + "left": "issue:3597", + "right": "issue:6335", + "accept": false, + "reason": "One is an ONNX pipeline not working, the other is output-size control in img2img; too different to be duplicates." + }, { "left": "issue:5931", "right": "issue:7438", "accept": false, - "reason": "Different problems: nondeterministic StableDiffusion generation vs XPU generation progress/loading behavior." + "reason": "Determinism vs XPU loading/generation stalling are unrelated issues." }, { "left": "issue:1572", "right": "issue:4677", "accept": false, - "reason": "Different pipelines and failures: mega img2img/inpainting support vs a text-guided inpainting doc script error." + "reason": "Both touch inpainting/docs, but one is a mega pipeline functionality bug and the other is a doc script error." }, { "left": "issue:3631", "right": "issue:4720", "accept": false, - "reason": "Both involve inpainting-related pipelines, but one is latents handling and the other is AutoencoderTiny compatibility; not the same bug." + "reason": "Both are inpainting-related, but one is latent handling and the other is AutoencoderTiny compatibility; different bugs." }, { "left": "issue:5022", "right": "issue:9034", "accept": false, - "reason": "Both are import/requirement issues, but they concern different dependencies and pipelines (PreTrainedTokenizer import vs sentencepiece requirement)." + "reason": "Import error for UNet2DModel and an optional dependency requirement problem are different issues." }, { "left": "issue:6584", "right": "issue:6934", "accept": false, - "reason": "Both are conversion-related, but one is a specific inpaint model conversion and the other is broken SDXL-to-original format conversion." + "reason": "Both are conversion-related, but they target different model formats and directions." }, { "left": "issue:1831", "right": "issue:2089", "accept": false, - "reason": "Different DreamBooth training failures: class image precision mismatch vs CUDA out-of-memory with AltDiffusion." + "reason": "DreamBooth precision mismatch for class images and AltDiffusion OOM are unrelated." }, { "left": "issue:1445", "right": "issue:444", "accept": false, - "reason": "Unrelated bugs: ONNX inpaint legacy pipeline attribute error vs timestep index error in sampling." + "reason": "Legacy ONNX inpaint attribute error and a num_inference_steps index error are different failures." }, { "left": "issue:10227", "right": "issue:8809", "accept": false, - "reason": "Different domains: LoRA feature-size support error vs feedforward output inconsistency with sequence length." + "reason": "LoRA feature-size support and feedforward output inconsistency are unrelated code-path problems." }, { "left": "issue:10039", "right": "issue:6234", "accept": false, - "reason": "Different code paths: missing output sample size in a UNet block vs a training example script issue." + "reason": "A missing output sample size argument in UNet blocks is unrelated to an example script issue." }, { "left": "issue:11569", "right": "issue:9371", "accept": false, - "reason": "A feature request for a model repo vs a Flax pipeline API cleanup request; not the same change." + "reason": "A feature request for a model repo and a Flax pipeline API refactor are not duplicates." }, { "left": "issue:11687", "right": "issue:13067", "accept": false, - "reason": "Different docs/features: adding pruna as an optimization framework vs adding support for Anima." + "reason": "Docs request for pruna and feature support for Anima are separate requests." }, { "left": "issue:1335", "right": "issue:4269", "accept": false, - "reason": "Different ONNX issues: missing constructor argument vs ControlNet input validation TypeError." + "reason": "Both are TypeErrors, but they affect different pipelines and different parameters." }, { "left": "issue:228", "right": "issue:3452", "accept": false, - "reason": "Broken release link vs DreamBooth low-VRAM training request; unrelated." + "reason": "Broken release link and DreamBooth low-VRAM training are unrelated." }, { "left": "issue:2324", "right": "issue:3301", "accept": false, - "reason": "Different DreamBooth problems: instance data not read vs LoRA training script not working." + "reason": "Both are DreamBooth training complaints, but the reported failure modes are different and not clearly the same bug." }, { "left": "issue:2961", "right": "issue:4702", "accept": false, - "reason": "Both ask for examples, but for different models/tasks: StableUnCLIP vs VQ-VAE training example." + "reason": "StableUnCLIP training example and VQ-VAE training example are different feature requests." }, { "left": "issue:3010", "right": "issue:7556", "accept": false, - "reason": "Different docs topics: multi-GPU distributed inference vs Animatediff scheduler improvements." + "reason": "Both are docs issues, but they concern different topics and changes." }, { "left": "issue:4456", "right": "issue:4557", "accept": false, - "reason": "Different loader/runtime errors: LoRA UNet attribute access vs a super().__getattr__ AttributeError." + "reason": "Different AttributeError symptoms in different loader/model code paths; not the same fix." }, { "left": "issue:5138", "right": "issue:8887", "accept": false, - "reason": "Different training concerns: moving compute_snr to training_utils vs wrong VAE encode in SD3 training script." + "reason": "Training utility refactor and wrong VAE encode in training script are unrelated." }, { "left": "issue:6552", "right": "issue:6891", "accept": false, - "reason": "Both are training-script trackers, but one is FP16 resume behavior and the other is model card saving utilities." + "reason": "A training-resume FP16 tracker and a model-card utility tracker are distinct tasks." }, { "left": "issue:7441", "right": "issue:9106", "accept": false, - "reason": "Different failures: pytest on Python 3.12 vs an AttributeError when running PixArt-Alpha with a specific timestep." + "reason": "pytest on Python 3.12 and a PixArt-alpha time_step attribute error are unrelated." }, { "left": "issue:7456", "right": "issue:8317", "accept": false, - "reason": "Different missing-argument bugs in different components: a missing raise statement vs AsymmetricAutoencoderKL decode generator argument." - }, - { - "left": "issue:1478", - "right": "issue:1785", - "accept": false, - "reason": "Related to multiple outputs/images, but one is upscale pipeline output count and the other is UnCLIP num_images_per_prompt handling." - }, - { - "left": "issue:5433", - "right": "issue:6068", - "accept": false, - "reason": "Both involve SDXL sampling quality, but one is DPM++ artifacts without refiner and the other is incorrect DDIM samples." - }, - { - "left": "issue:892", - "right": "issue:984", - "accept": false, - "reason": "Different shape/batch issues: NVIDIA container compatibility vs F.interpolate breaking for large batch sizes." + "reason": "A missing raise statement and a missing generator argument in AsymmetricAutoencoderKL are different bugs." } ] }, @@ -83993,18 +83894,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10591", "issue:10659", "issue:10866", "issue:10967", "issue:11050", - "issue:11133", - "issue:11410", - "issue:11827", "issue:12606", "issue:13104", + "issue:1478", + "issue:1785", "issue:1895", "issue:222", "issue:2359", @@ -84022,28 +83922,32 @@ "issue:4605", "issue:5254", "issue:5314", + "issue:5433", "issue:5594", + "issue:6068", "issue:6087", "issue:6094", "issue:6157", "issue:6549", "issue:6686", - "issue:6958", "issue:7061", "issue:7228", "issue:7420", "issue:8410", "issue:8493", + "issue:892", "issue:8935", "issue:9051", "issue:9387", - "issue:9471", "issue:9530", - "issue:9756", "issue:9793", + "issue:984", "issue:9944" ], "soft_pairs": [ + "issue:1478|issue:1785", + "issue:5433|issue:6068", + "issue:892|issue:984", "issue:3366|issue:4450", "issue:3750|issue:6549", "issue:10659|issue:10866", @@ -84064,183 +83968,180 @@ "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:5314|issue:9387" ], - "prepared_review_unit_hash": "5b3ad302411e2c9ef9fa8f1aba1912a62b565988d6ae09313f734c21023f075f", + "prepared_review_unit_hash": "943175f7544cdf23ca323c1a9fd0bcb3d59a5292f7727346505fbd6d6f3b27c3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33352, - "estimated_input_tokens": 8338, - "estimated_eval_tokens": 16932 + "serialized_chars": 33134, + "estimated_input_tokens": 8284, + "estimated_eval_tokens": 16824 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is not a duplicate set; the issues span many unrelated pipelines, training scripts, model-loading errors, and feature requests. The soft-similarity pairs mostly share broad subsystem vocabulary but not the same underlying bug or change.", - "confidence": 0.96, - "canonical_issue_reason": "No canonical duplicate stands out: the reports describe different defects and feature requests across distinct code paths, models, and scripts.", + "summary": "This cluster is heterogeneous: the items span unrelated pipelines, training scripts, import/logging problems, and feature requests. The soft edges are only title-level similarity, not the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 11050 is the most concrete and actionable report, with an explicit file path and a narrowly scoped dtype-casting bug in SD3 ControlNet training.", + "best_issue_reason": "Issue 11050 is the most concrete and actionable report in the set (specific file, exact dtype-cast bug, clear reproduction context), but it still does not represent the rest of the cluster because the items are about different subsystems and symptoms.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1478", + "right": "issue:1785", + "accept": false, + "reason": "Both are multi-image/output-count complaints, but they target different pipelines and failure modes: StableDiffusionUpscalePipeline output handling vs UnCLIP num_images_per_prompt behavior." + }, + { + "left": "issue:5433", + "right": "issue:6068", + "accept": false, + "reason": "SDXL scheduler artifacts are a sampling-quality issue; DDIM incorrect samples is a different algorithmic bug in a separate code path." + }, + { + "left": "issue:892", + "right": "issue:984", + "accept": false, + "reason": "These are unrelated runtime regressions: Docker/container compatibility vs F.interpolate breaking for large batch sizes." + }, { "left": "issue:3366", "right": "issue:4450", "accept": false, - "reason": "Both involve LoRA, but one is autocast interference in a layer and the other is multi-textual-inversion not working; different features and fixes." + "reason": "Autocast being blocked by LoRALinearLayer is a precision/context-manager bug, while multi-text inversion not working is a different training feature issue." }, { "left": "issue:3750", "right": "issue:6549", "accept": false, - "reason": "One is missing LoRA support in a KDiffusion pipeline; the other is a warning/logging issue when combining IP-Adapter with LoRA." + "reason": "One is lack of LoRA loading support in a pipeline; the other is a warning/logging mismatch when combining IP-Adapter and LoRA weights." }, { "left": "issue:10659", "right": "issue:10866", "accept": false, - "reason": "Different models and symptoms: ConsisID output quality vs Lumina Image 2.0 LoRA compatibility." + "reason": "Both mention poor LoRA results, but one is about ConsisID generation quality and the other about a Lumina Image 2.0 LoRA compatibility/loading problem." }, { "left": "issue:6157", "right": "issue:9793", "accept": false, - "reason": "ControlNet+IP-Adapter behavior is unrelated to a progress bar update bug." + "reason": "IP-Adapter not working in a specific pipeline is unrelated to a progress bar update bug." }, { "left": "issue:4605", "right": "issue:5254", "accept": false, - "reason": "Both touch inpaint workflows, but one is a long-prompt-weighting error and the other is a multi-ControlNet support request." + "reason": "Long-prompt inpaint model errors and multi-ControlNet support in controlnet inpaint are distinct pipeline capabilities, not the same bug." }, { "left": "issue:6087", "right": "issue:6686", "accept": false, - "reason": "LoRA config save/load causing wrong alpha is a different bug from Dynamo compilation not improving after save/load." + "reason": "Saving/loading LoraConfig metadata is a LoRA serialization bug; Dynamo save/load performance loss affects compiled SDXL pipelines and is a different issue." }, { "left": "issue:8493", "right": "issue:9944", "accept": false, - "reason": "Both are SD3 loading errors, but they concern different models and error types, so they are not the same concrete failure." + "reason": "Both concern SD3 model loading, but one is a state_dict load error in the transformer and the other is SD3.5 Medium size-mismatch loading; different model versions and failure causes." }, { "left": "issue:8935", "right": "issue:9051", "accept": false, - "reason": "AuraFlow long-prompt device placement and Flux batch inference are distinct pipeline bugs." + "reason": "These are separate batching/device issues in different pipelines: AuraFlow long-prompt tensor placement vs Flux batch inference support." }, { "left": "issue:10591", "right": "issue:12606", "accept": false, - "reason": "SD3 LoRA training script problems are unrelated to a wrong import in a conversion script." + "reason": "SD3 LoRA training-script concerns are unrelated to a wrong import in a conversion script." }, { "left": "issue:10967", "right": "issue:8410", "accept": false, - "reason": "Both ask for new pipeline integrations, but they concern different model families and changes." + "reason": "A request to integrate LaVie/Cinemo into diffusers is a feature proposal, while TextDiffuser native support is a separate pipeline integration request." }, { "left": "issue:6686", "right": "issue:9530", "accept": false, - "reason": "Dynamo save/load performance regression is not the same as freeing GPU memory after torch.compile." + "reason": "SDXL compile save/load performance regression is different from freeing GPU memory after torch.compile on the UNet." }, { "left": "issue:3540", "right": "issue:6094", "accept": false, - "reason": "Same pipeline family, but one is prompt embedding support and the other is a broader post-upgrade regression." + "reason": "Prompt embeds not working in TextToVideoZeroPipeline is an input-handling bug, whereas the 0.24 update issue is a broader pipeline breakage after a version change." }, { "left": "issue:3933", "right": "issue:7420", "accept": false, - "reason": "logging.info breaking graph compile and torch.compile not working are different compile-related issues." + "reason": "Graph compile breaking on logging.info is a specific logging/compile interaction; unable to use torch.compile is a broader, unspecific compile problem." }, { "left": "issue:11050", "right": "issue:13104", "accept": false, - "reason": "A specific SD3 dtype-casting bug is not the same as a generic 'Logger is not defined' error." + "reason": "The first is a bf16/fp16 dtype casting bug in a training example; the second is a missing logger definition error in a different code path." }, { "left": "issue:1895", "right": "issue:222", "accept": false, - "reason": "EMA multi-GPU update behavior and a generic training RuntimeError do not identify the same bug." + "reason": "EMA not updating in multi-GPU training and a generic training RuntimeError are different bugs with no shared code-path evidence." }, { "left": "issue:2359", "right": "issue:5594", "accept": false, - "reason": "Img2Img latent output support and SDXL LoRA memory-saving are different training/inference concerns." + "reason": "Latent output_type support in img2img is a pipeline behavior request; SDXL LoRA memory-saving is a training optimization topic." }, { "left": "issue:2375", "right": "issue:4213", "accept": false, - "reason": "safe_open NameError and from_single_file without accelerate are unrelated loader failures." + "reason": "safe_open NameError and from_single_file() requiring accelerate are unrelated loading/environment issues." }, { "left": "issue:3748", "right": "issue:7228", "accept": false, - "reason": "LoRA dtype mismatch from CivitAI and traced-model dtype missing are different loading problems." + "reason": "LoRA safetensor float16/float32 mismatch is a LoRA load issue; missing dtype on traced StableDiffusionPipeline is a different traced-model attribute bug." }, { "left": "issue:4304", "right": "issue:4400", "accept": false, - "reason": "SDXL LoRA support request and text_encoder support question are not the same bug/change." + "reason": "SDXL text-to-image LoRA support request and text_encoder support for inpaint LoRA are different feature scopes." }, { "left": "issue:4419", "right": "issue:7061", "accept": false, - "reason": "Offset-noise inference mismatch and an incorrect docstring are different issues." + "reason": "Offset noise being omitted in inference is a model-usage bug; incorrect docstring text for a community pipeline is documentation-only." }, { "left": "issue:5314", "right": "issue:9387", "accept": false, - "reason": "ControlNet reference inpainting and MimicMotion are separate pipeline requests." - }, - { - "left": "issue:6958", - "right": "issue:9756", - "accept": false, - "reason": "A mid_block motion-model configuration bug and a missing notebook file are unrelated." - }, - { - "left": "issue:11133", - "right": "issue:11827", - "accept": false, - "reason": "CogVideoX image-to-video pipeline bug and a safetensors header deserialization error are different failure modes." - }, - { - "left": "issue:11410", - "right": "issue:9471", - "accept": false, - "reason": "An attention-processor unpacking error is unrelated to ambiguous file-extension resource inference." + "reason": "ControlNet reference inpainting and MimicMotion are unrelated pipeline feature requests." } ] }, @@ -84262,16 +84163,19 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10659", "issue:1072", "issue:10797", "issue:1082", "issue:11005", + "issue:11133", "issue:11229", + "issue:11410", "issue:11486", "issue:1158", + "issue:11827", "issue:12329", "issue:12653", "issue:13043", @@ -84279,7 +84183,6 @@ "issue:13386", "issue:1500", "issue:1574", - "issue:1614", "issue:1734", "issue:1961", "issue:1990", @@ -84299,21 +84202,22 @@ "issue:5604", "issue:5835", "issue:6354", - "issue:6363", "issue:6598", + "issue:6958", "issue:7418", - "issue:7686", "issue:7762", "issue:7784", "issue:7889", - "issue:7900", - "issue:835", - "issue:8873", "issue:9106", "issue:9186", + "issue:9471", + "issue:9756", "issue:9856" ], "soft_pairs": [ + "issue:6958|issue:9756", + "issue:11133|issue:11827", + "issue:11410|issue:9471", "issue:6598|issue:7762", "issue:1072|issue:4250", "issue:281|issue:4630", @@ -84334,183 +84238,180 @@ "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:7784|issue:9106" ], - "prepared_review_unit_hash": "2540526892723747934fb0073abfc4fed4952c8d1191952f604f95b56f646b82", + "prepared_review_unit_hash": "9dce3c08e67957a8604acbfeb2bce208757cd10687d0f73ca16508fc8624e379", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34149, - "estimated_input_tokens": 8538, - "estimated_eval_tokens": 17332 + "serialized_chars": 34401, + "estimated_input_tokens": 8601, + "estimated_eval_tokens": 17458 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is not a duplicate set: the issues cover many unrelated bugs and feature requests across loading, training, attention backends, and pipeline behavior. None of the soft pairs look like the same underlying problem.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue fits this cluster; the items span distinct features and failures (model loading, training scripts, attention backends, pipeline bugs, and docs mismatches).", + "summary": "This is a loose, heterogeneous set of issues spanning unrelated bugs, feature requests, and docs/test complaints. There is no strong duplicate cluster here; issue:281 is only a weak canonical because it is the broadest and highest-signal item.", + "confidence": 0.22, + "canonical_issue_reason": "issue:281 is the most central/high-signal issue in the set: broad model-loading optimization request, highest discussion/inbound refs, and widest potential relevance. It is still only a weak fit because the cluster is not truly cohesive.", "canonical_pr_reason": null, - "best_issue_reason": "No strong best issue candidate. The cluster is too heterogeneous for any one issue to represent the rest meaningfully.", + "best_issue_reason": "issue:281 is the best representative in this mixed set for the same reasons: broad scope, strong engagement, and cross-cutting model-loading context. It is the least narrow among the issues, though not a true duplicate anchor.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6958", + "right": "issue:9756", + "accept": false, + "reason": "Different subjects: an unet_motion_model config bug vs a missing notebook/file-path issue." + }, + { + "left": "issue:11133", + "right": "issue:11827", + "accept": false, + "reason": "Different pipelines and failure modes: CogVideoX image-to-video bug vs safetensors header corruption." + }, + { + "left": "issue:11410", + "right": "issue:9471", + "accept": false, + "reason": "Attention processor unpacking error and multiple-extension resource detection are unrelated code paths." + }, { "left": "issue:6598", "right": "issue:7762", "accept": false, - "reason": "Both mention different image-generation quality/output complaints, but one is img2img parity vs A1111 and the other is a vague SD webui comparison; not the same concrete bug." + "reason": "Both mention poor image results, but one is parity with A1111 while the other is a general quality complaint; not the same concrete bug." }, { "left": "issue:1072", "right": "issue:4250", "accept": false, - "reason": "Different problems: loading multiple fine-tuned models versus incorrect from_pretrained loading behavior." + "reason": "General advice on loading multiple fine-tuned models is not the same as an incorrect from_pretrained loading bug." }, { "left": "issue:281", "right": "issue:4630", "accept": false, - "reason": "Both touch model weight handling, but one is about native model loading and the other about modifying LoRA weights after loading; not the same bug." + "reason": "Model-loading optimization request and post-load LoRA weight editing are different features." }, { "left": "issue:6354", "right": "issue:9186", "accept": false, - "reason": "ControlNet LoRA support request is unrelated to differential diffusion behavior in ControlNet." + "reason": "ControlNet LoRA support request vs differential diffusion with ControlNet are distinct feature ideas." }, { "left": "issue:2578", "right": "issue:5604", "accept": false, - "reason": "Editable install failure is unrelated to unfusing multiple LoRA weights." + "reason": "Editable-install failure and unfusing multiple LoRA are unrelated problems." }, { "left": "issue:12329", "right": "issue:13073", "accept": false, - "reason": "Different Wan/ZImage pipelines and different symptoms: single-file transformer misclassification vs guidance_scale>1 support." + "reason": "Wan single-file transformer version selection and ZImageControlNet guidance_scale behavior are separate issues." }, { "left": "issue:11229", "right": "issue:12653", "accept": false, - "reason": "Both are MPS-related, but one is attention slicing NaNs in SDXL and the other is a rope float64 reference issue; distinct code paths and failures." + "reason": "Both involve MPS, but one is attention slicing NaNs and the other is a rope float64 reference break; different code paths." }, { "left": "issue:11005", "right": "issue:7418", "accept": false, - "reason": "A docstring/default mismatch is not the same as a pipeline code bug in a community upscale script." + "reason": "Docstring/default mismatch is not the same as a bug in a community upscale pipeline file." }, { "left": "issue:1158", "right": "issue:1500", "accept": false, - "reason": "Test interference and community pipeline incompatibility are unrelated." + "reason": "Test interference and community-pipeline compatibility with a new diffusers release are unrelated." }, { "left": "issue:1574", "right": "issue:3774", "accept": false, - "reason": "Both are training/memory complaints, but one is Dreambooth on 8GB GPU and the other is zero3 not saving memory in text-to-image training; different causes." + "reason": "Both are training/memory-related, but they describe different scripts and failure mechanisms." }, { "left": "issue:1990", "right": "issue:2883", "accept": false, - "reason": "Pipeline proposal for Depth2ImgVariation is unrelated to a general image-to-video pipeline request." + "reason": "A pipeline proposal and an image-to-video pipeline request are different feature discussions." }, { "left": "issue:4354", "right": "issue:5835", "accept": false, - "reason": "Single-file SDXL inpaint return-type bug is unrelated to using a pretrained MusicLDM pipeline." + "reason": "from_single_file returning the wrong pipeline type is unrelated to using a pretrained MusicLDM pipeline." }, { "left": "issue:4708", "right": "issue:5110", "accept": false, - "reason": "Import error in diffusers.utils is not the same as HF repo-id validation failure." + "reason": "Import failure in diffusers.utils and HF repo-id validation are different errors." }, { "left": "issue:13043", "right": "issue:13386", "accept": false, - "reason": "Different domains and failures: Blackwell kernel-image backend support vs a training-script tensor concatenation crash." + "reason": "RTX 5090 kernel-image support and qwen prior-preservation concat crashes are unrelated." }, { "left": "issue:1082", "right": "issue:1961", "accept": false, - "reason": "Dreambooth CUDA matmul failure and a generic ColossalAI error are not the same underlying issue." + "reason": "Dreambooth cublas matmul failure and a generic colossalai error are not the same bug." }, { "left": "issue:10659", "right": "issue:10797", "accept": false, - "reason": "ConsisID output-quality complaint is unrelated to HunyuanVideoPipeline group offloading not working." + "reason": "ConsisID output-quality complaint and HunyuanVideo group_offloading failure are different pipeline issues." }, { "left": "issue:4210", "right": "issue:7889", "accept": false, - "reason": "Attention_mask usage question is unrelated to bugs in single-file checkpoint loading." + "reason": "A UNet attention_mask API question and single_file_utils bugs are not the same underlying problem." }, { "left": "issue:4353", "right": "issue:4907", "accept": false, - "reason": "Both concern SDXL results/warnings, but one is poor output quality and the other is an inpainting model warning; not the same bug." + "reason": "General SDXL quality complaint and an inpainting-model warning are distinct." }, { "left": "issue:11486", "right": "issue:9856", "accept": false, - "reason": "Training-script xFormers option request is unrelated to distributed port collision errors." + "reason": "Training-script xformers feature request and distributed port collision are unrelated." }, { "left": "issue:1734", "right": "issue:2444", "accept": false, - "reason": "Multi-GPU slowdown in Dreambooth and a train_dreambooth_inpaint.py exit-status error are different failure modes." + "reason": "Multi-GPU slowdown in Dreambooth and a train_dreambooth_inpaint subprocess failure are different issues." }, { "left": "issue:7784", "right": "issue:9106", "accept": false, - "reason": "Missing upcast_vae on StableDiffusionUpscaleLDM3DPipeline is unrelated to a PixArt-alpha AttributeError at time_step=1." - }, - { - "left": "issue:7900", - "right": "issue:8873", - "accept": false, - "reason": "An __init__.py export/import issue is not the same as xformers being slower on A100." - }, - { - "left": "issue:6363", - "right": "issue:7686", - "accept": false, - "reason": "FP16 gradient unscale error in LoRA training is unrelated to UNet2DModel cross_attention_dim validation." - }, - { - "left": "issue:1614", - "right": "issue:835", - "accept": false, - "reason": "Both involve output conversion, but blank black images with autocast and flax numpy_to_pil failure are different bugs and code paths." + "reason": "Missing upcast_vae on one pipeline and a PixArt-alpha attribute error on another are unrelated." } ] }, @@ -84532,7 +84433,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10039", "issue:10147", @@ -84542,6 +84443,7 @@ "issue:11005", "issue:11232", "issue:1572", + "issue:1614", "issue:1969", "issue:1988", "issue:2363", @@ -84566,24 +84468,26 @@ "issue:5763", "issue:5972", "issue:6113", - "issue:6141", + "issue:6363", "issue:6383", "issue:6407", "issue:6439", "issue:6530", "issue:6866", - "issue:7009", "issue:7264", - "issue:7440", + "issue:7686", "issue:7773", - "issue:8502", - "issue:8543", + "issue:7900", + "issue:835", + "issue:8873", "issue:9062", "issue:9674", - "issue:989", - "issue:9926" + "issue:989" ], "soft_pairs": [ + "issue:7900|issue:8873", + "issue:6363|issue:7686", + "issue:1614|issue:835", "issue:5972|issue:9674", "issue:1572|issue:4782", "issue:10039|issue:7773", @@ -84604,183 +84508,180 @@ "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:5168|issue:6530" ], - "prepared_review_unit_hash": "22127d43df406a8312d6d701fbdd0db5764055461fbff4846067bba6d587f97b", + "prepared_review_unit_hash": "f53dfcb77fc3eee3c35884d6e472e6b744b451bf81dc0dd50a4ad11b4eb61299", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33896, - "estimated_input_tokens": 8474, - "estimated_eval_tokens": 17204 + "serialized_chars": 33936, + "estimated_input_tokens": 8484, + "estimated_eval_tokens": 17224 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items do not form a real duplicate cluster: they span unrelated pipelines, model families, docs, and training/runtime issues. All soft-similarity pairs should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue: the set is heterogeneous and the soft-linked pairs are not the same underlying bug or feature request.", - "canonical_pr_reason": "No pull requests are present in the candidate set.", - "best_issue_reason": "No best issue candidate overall; none of the issues clearly represents the others as a duplicate target.", - "best_pr_reason": "No pull requests are present in the candidate set.", + "summary": "This cluster is heterogeneous and the soft links are only topical. None of the proposed pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "issue:10039 is the most concrete, code-localized bug report in the set (specific function/file and missing argument), so it is the best representative issue for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10039 is the strongest issue candidate because it is narrowly scoped, actionable, and clearly tied to a specific code path.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7900", + "right": "issue:8873", + "accept": false, + "reason": "One is an __init__.py import/export problem; the other is an xformers performance complaint. Different symptoms and code paths." + }, + { + "left": "issue:6363", + "right": "issue:7686", + "accept": false, + "reason": "FP16 gradient scaling in training is unrelated to a UNet cross_attention_dim configuration error." + }, + { + "left": "issue:1614", + "right": "issue:835", + "accept": false, + "reason": "Black-image output with autocast is a different failure mode from flax numpy_to_pil conversion issues." + }, { "left": "issue:5972", "right": "issue:9674", "accept": false, - "reason": "Different problems: a training doc/weighting note vs a bad-result ControlNet training report." + "reason": "Documentation around min-SNR weighting is not the same as a bad SD3 ControlNet training result." }, { "left": "issue:1572", "right": "issue:4782", "accept": false, - "reason": "Both involve inpainting, but one is a broken mega pipeline for img2img/inpainting while the other is a mask-preservation bug." + "reason": "The first is a pipeline support bug for img2img/inpainting; the second is a masking correctness bug in inpainting." }, { "left": "issue:10039", "right": "issue:7773", "accept": false, - "reason": "Different failure modes and code paths: missing output sample size in an UpBlock vs batch-size>1 video generation bug." + "reason": "Missing sample size in AttnUpBlock2D is unrelated to a Stable Video Diffusion batch-size generation bug." }, { "left": "issue:10147", "right": "issue:6407", "accept": false, - "reason": "Unrelated feature requests: MV-Adapter multi-view generation vs AnyText multilingual text generation/editing." + "reason": "Multi-view generation adapter support and AnyText multilingual text generation are different features." }, { "left": "issue:3645", "right": "issue:4675", "accept": false, - "reason": "Both mention ControlNet/inpainting, but one is about training a custom inpaint script and the other about Reference Only support for SDXL." + "reason": "Training/finetuning guidance for an inpaint pipeline is not the same as SDXL reference-only ControlNet support." }, { "left": "issue:4648", "right": "issue:5538", "accept": false, - "reason": "Loading/config.json error is unrelated to the upscale pipeline's latent usage bug." + "reason": "Missing config.json is a loading/setup error; encoder-decoder latent usage is a model-pipeline implementation issue." }, { "left": "issue:5300", "right": "issue:6383", "accept": false, - "reason": "Completely unrelated: internet connectivity behavior vs multi-stage learning-rate scheduler support." + "reason": "Network connectivity behavior and multi-stage learning rate scheduling are unrelated." }, { "left": "issue:10722", "right": "issue:11232", "accept": false, - "reason": "Both are training issues, but they describe different tensor/residual problems in different fine-tuning setups." + "reason": "Tensor-size mismatch in DreamBooth prior preservation is not the same as noise residual behavior during T2I fine-tuning." }, { "left": "issue:4141", "right": "issue:5763", "accept": false, - "reason": "Different subsystems: second ControlNet being ignored vs save_pretrained serialization behavior." + "reason": "Second-ControlNet handling and safetensors serialization are separate issues in different subsystems." }, { "left": "issue:1969", "right": "issue:989", "accept": false, - "reason": "Generic runtime errors, but distinct underlying tensor-shape/view and weight-dimension problems." + "reason": "A tensor view/stride runtime error is a different problem from a 2-D weight shape error." }, { "left": "issue:2471", "right": "issue:434", "accept": false, - "reason": "Attend-and-excite sizing issue vs an old training notebook compatibility problem; not the same bug." + "reason": "Attend-and-excite non-default size support is unrelated to a training notebook compatibility regression." }, { "left": "issue:2618", "right": "issue:4269", "accept": false, - "reason": "Same broad ControlNet area, but one is image-input typing and the other is a TypeError from default arguments." + "reason": "ControlNet image input type handling and check_inputs default-argument TypeError are not the same bug." }, { "left": "issue:1988", "right": "issue:2603", "accept": false, - "reason": "Unrelated: dtype/bias mismatch in text-to-image training vs non-square image generation in attend-and-excite." + "reason": "fp16/bf16 input-bias dtype mismatch is unrelated to non-square image generation support." }, { "left": "issue:10697", "right": "issue:11005", "accept": false, - "reason": "Instruct-pix2pix random transform inconsistency is unrelated to a docstring/default mismatch in a WAN video pipeline." + "reason": "Random transform mismatch in instruct-pix2pix is a data-preprocessing bug, not a docstring/default discrepancy." }, { "left": "issue:10861", "right": "issue:9062", "accept": false, - "reason": "One is a latent-scaling bug in StableAudioPipeline; the other is an import/export issue for StableAudioPipeline." + "reason": "Latent scaling in StableAudioPipeline and an import error for StableAudioPipeline are entirely different issues." }, { "left": "issue:2363", "right": "issue:6113", "accept": false, - "reason": "Different user needs: LoRA conversion format vs loading sd_control_collection models into diffusers." + "reason": "LoRA conversion tooling and using sd_control_collection models in diffusers do not describe the same change." }, { "left": "issue:3986", "right": "issue:6866", "accept": false, - "reason": "Different feature requests for different pipelines: mesh output in ShapE vs IP-Adapter support in SDXL ControlNet inpaint." + "reason": "ShapE mesh output support and IP-Adapter support for SDXL ControlNet inpaint are unrelated feature requests." }, { "left": "issue:4310", "right": "issue:6439", "accept": false, - "reason": "SDXL scanline artifacts are unrelated to a broken documentation link." + "reason": "SDXL staircase artifacts and a broken docs link are not the same underlying problem." }, { "left": "issue:4445", "right": "issue:7264", "accept": false, - "reason": "LoRA finetuning help is unrelated to serialization/loading custom transformers models." + "reason": "LoRA finetuning help and custom transformers model serialization/loading are unrelated." }, { "left": "issue:4876", "right": "issue:5050", "accept": false, - "reason": "Both mention LoRA, but one requests a layer std argument and the other discusses config changes; not the same change." + "reason": "LoRA layer std as a parameter and LoRA config changes are different feature requests with different scopes." }, { "left": "issue:5168", "right": "issue:6530", "accept": false, - "reason": "Different ControlNet topics: ControlNet-XS support vs K-diffusion support for SDXL ControlNet." - }, - { - "left": "issue:6141", - "right": "issue:9926", - "accept": false, - "reason": "Unrelated feature requests: ControlNet resize/control modes vs gguf quantization and speedup support." - }, - { - "left": "issue:7009", - "right": "issue:7440", - "accept": false, - "reason": "Text-to-video generation quality issue is unrelated to a missing dataset for text-to-image." - }, - { - "left": "issue:8502", - "right": "issue:8543", - "accept": false, - "reason": "Both are SD3-related, but one is about 512x512 generation and the other is gradient-checkpointing failure during dreambooth training." + "reason": "ControlNet-XS support and SDXL K-diffusion with ControlNet are distinct feature efforts." } ] }, @@ -84802,7 +84703,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", "issue:10412", @@ -84817,7 +84718,6 @@ "issue:1925", "issue:2554", "issue:2763", - "issue:2941", "issue:347", "issue:3954", "issue:4030", @@ -84825,34 +84725,39 @@ "issue:4403", "issue:4534", "issue:4830", - "issue:4964", "issue:5334", "issue:5546", - "issue:557", "issue:5617", "issue:5835", "issue:5924", "issue:5989", - "issue:6357", + "issue:6141", "issue:6689", "issue:6725", "issue:7009", "issue:7431", + "issue:7440", "issue:7519", "issue:7695", "issue:7841", "issue:7897", "issue:7962", "issue:8488", + "issue:8502", "issue:851", + "issue:8543", "issue:8826", "issue:8873", "issue:8876", "issue:9488", "issue:9516", - "issue:9780" + "issue:9780", + "issue:9926" ], "soft_pairs": [ + "issue:6141|issue:9926", + "issue:7009|issue:7440", + "issue:8502|issue:8543", "issue:1925|issue:851", "issue:4830|issue:5546", "issue:10191|issue:7897", @@ -84874,182 +84779,186 @@ "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:8488|issue:9780" ], - "prepared_review_unit_hash": "fceebbede980cd19dd4efd4b09fcbe5432584b638e5c8389a77ee03e59f1b0fc", + "prepared_review_unit_hash": "80ae461c3a1e5c79f6cfe7f4d84ff79d57a8e97b951949b1522ff150d773b95a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 33592, - "estimated_input_tokens": 8398, - "estimated_eval_tokens": 17052 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34401, + "estimated_input_tokens": 8601, + "estimated_eval_tokens": 17458 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are a heterogeneous set of unrelated bugs and feature requests across different pipelines, devices, and failure modes. None of the soft pairs look like the same underlying issue, so there is no good canonical duplicate target here.", - "confidence": 0.97, - "canonical_issue_reason": "No single issue is a strong canonical choice: the cluster mixes unrelated topics (training, loading, memory, scheduler behavior, CPU/MPS/Mac, and model-specific runtime errors).", + "summary": "This cluster is mostly a title-similarity bucket spanning many unrelated bugs (training, pipelines, loading, memory, CPU/MPS, xformers, etc.). I found no soft pair that clearly describes the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.66, + "canonical_issue_reason": "issue:7897 is the broadest representative of the cluster\u2019s few multi-GPU/training-related reports, and it is an actual open bug report rather than a narrow symptom question.", "canonical_pr_reason": null, - "best_issue_reason": "No issue is a suitable global best representative because the set is not one duplicate family; picking any one would misrepresent the rest.", + "best_issue_reason": "issue:7897 is a reasonable anchor because it is open, concrete, and broad enough to cover nearby device-placement/multi-GPU training failures better than the more specific reports.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6141", + "right": "issue:9926", + "accept": false, + "reason": "One is ControlNet API support, the other is GGUF quantization/speed support; different features and code paths." + }, + { + "left": "issue:7009", + "right": "issue:7440", + "accept": false, + "reason": "Text-to-video quality/runtime issue vs dataset availability problem; not the same bug." + }, + { + "left": "issue:8502", + "right": "issue:8543", + "accept": false, + "reason": "Both involve SD3, but one is image generation behavior and the other is dreambooth gradient checkpointing; different failures." + }, { "left": "issue:1925", "right": "issue:851", "accept": false, - "reason": "Both mention dtype/half precision, but one is SD2 inpainting fp16 behavior and the other is a generic float-vs-half mismatch; different bugs." + "reason": "Both mention dtype/half precision, but one is a specific inpainting model issue and the other is a generic dtype mismatch report." }, { "left": "issue:4830", "right": "issue:5546", "accept": false, - "reason": "MultiControlNet tensor-size error vs scheduler step-count issue for an ensemble; same area, but not the same concrete failure." + "reason": "Wrong tensor size in MultiControlNet vs scheduler step-count bug in base+refiner ensemble; unrelated problems." }, { "left": "issue:10191", "right": "issue:7897", "accept": false, - "reason": "Both involve multi-GPU/training, but one is GPU selection and the other is multi-GPU not working; different root causes." + "reason": "Both touch multi-GPU training, but one is GPU device selection being ignored while the other is a generic multi-GPU failure; not the same concrete code-path." }, { "left": "issue:2554", "right": "issue:347", "accept": false, - "reason": "One is an accelerate version requirement, the other is a packaging/install resolution problem; unrelated issues." + "reason": "Different dependency/install issues: accelerate version requirement vs huggingface-hub installation failure." }, { "left": "issue:4403", "right": "issue:5617", "accept": false, - "reason": "Half-precision LayerNorm runtime failure vs torch.compile/save_pretrained reload failure; different code paths." + "reason": "Half-precision LayerNorm runtime error vs torch.compile save/load problem; unrelated." }, { "left": "issue:5334", "right": "issue:9516", "accept": false, - "reason": "Accelerate multi-model training API support vs FLUX joint_attention_kwargs forwarding; not the same bug." + "reason": "Training/accelerate multi-model handling vs FLUX joint_attention_kwargs forwarding; different fixes." }, { "left": "issue:5835", "right": "issue:9488", "accept": false, - "reason": "Different pipelines entirely (MusicLDM vs Lumina) with unrelated generation failures." + "reason": "MusicLDM usage question vs Lumina image-generation failure; unrelated pipelines." }, { "left": "issue:5989", "right": "issue:6689", "accept": false, - "reason": "A safetensors.torch bug vs a model-conversion problem; insufficient overlap to be duplicates." + "reason": "Generic safetensors bug vs model conversion request; too different to be duplicates." }, { "left": "issue:10658", "right": "issue:7962", "accept": false, - "reason": "ONNX Runtime provider_options support vs instruct-pix2pix cross_attention_kwargs support; different features and code paths." + "reason": "onnxruntime session provider options vs Instruct-pix2pix cross_attention_kwargs support; unrelated APIs." }, { "left": "issue:10673", "right": "issue:8876", "accept": false, - "reason": "Both are shape/conditioning issues, but AuraFlow invalid reshape and PixArt Sigma microconditioning are distinct model-specific bugs." + "reason": "AuraFlow shape reshape failure vs PixArt Sigma resolution microconditioning omission; different model-specific bugs." }, { "left": "issue:13300", "right": "issue:5924", "accept": false, - "reason": "CPU generation failure for SD3.5/FLUX vs VAE memory spike; one is a runtime error, the other is a memory regression." + "reason": "CPU inference failure for SD3.5/FLUX vs VAE memory spike; different symptoms and code paths." }, { "left": "issue:6725", "right": "issue:7009", "accept": false, - "reason": "LDMPipeline usage vs TextToVideoSDPipeline quality/output problem; different pipelines and symptoms." + "reason": "Generic LDM image generation request vs text-to-video result quality issue; not the same defect." }, { "left": "issue:7519", "right": "issue:8873", "accept": false, - "reason": "Both mention xformers, but one ignores cross_attention_kwargs['scale'] and the other is a performance slowdown; not the same fix." + "reason": "Ignored cross_attention_kwargs in xFormers attention vs xFormers performance regression; distinct issues." }, { "left": "issue:11221", "right": "issue:8826", "accept": false, - "reason": "AutoencoderKL non-convergence vs torch.cat on an empty list; unrelated training vs runtime errors." + "reason": "AutoencoderKL non-convergence vs empty tensor list cat runtime error; unrelated." }, { "left": "issue:1785", "right": "issue:4030", "accept": false, - "reason": "UnCLIP num_images_per_prompt bug vs SD 2.1 embedding runtime error; different pipelines and failure modes." + "reason": "UnCLIP num_images_per_prompt bug vs Stable Diffusion v2.1 embedding runtime error; different code paths." }, { "left": "issue:10412", "right": "issue:7431", "accept": false, - "reason": "Both are DreamBooth training issues, but one is VRAM usage and the other is DoRA/text-encoder training instability; not the same bug." + "reason": "DreamBooth VRAM usage vs DoRA/text-encoder training issues; both training-related but not the same bug." }, { "left": "issue:7695", "right": "issue:7841", "accept": false, - "reason": "Ignored ip_adapter_masks in attention processor vs red-dot rendering artifact on zoom; unrelated symptoms." + "reason": "Ignored ip_adapter_masks kwargs vs red-dot rendering artifact; unrelated." }, { "left": "issue:12574", "right": "issue:13077", "accept": false, - "reason": "WanVideoToVideo control-arg handling vs ZImageControlNet shallow-copy weights; different transformer integration bugs." + "reason": "WanVideoToVideo control-argument handling vs shallow-copy transformer weights in ZImageControlNet; different bugs." }, { "left": "issue:1677", "right": "issue:3954", "accept": false, - "reason": "Wrong data type call error vs multi-GPU learning-rate step count; unrelated issues." + "reason": "Wrong input data type for pipeline call vs multi-GPU scheduler step count bug; unrelated." }, { "left": "issue:2763", "right": "issue:5617", "accept": false, - "reason": "ControlNet VRAM regression with cudnn.benchmark vs torch.compile serialization/reload failure; different problems." + "reason": "ControlNet VRAM regression with cudnn.benchmark vs torch.compile save/load failure; not the same issue." }, { "left": "issue:4266", "right": "issue:4534", "accept": false, - "reason": "Both are SDXL on Apple hardware, but one is a broadcast-compatibility training error and the other is an mps validation crash; not the same bug." + "reason": "Both are SDXL on Apple/MPS, but one is a broadcast type mismatch and the other crashes during validation; too different." }, { "left": "issue:8488", "right": "issue:9780", "accept": false, - "reason": "Both concern StableDiffusion3 loading, but one is a broad from_pretrained exception and the other is a specific missing norm_added_k attribute; not enough evidence for a duplicate." - }, - { - "left": "issue:2941", - "right": "issue:557", - "accept": false, - "reason": "Different scheduler complaints (Euler Ancestral vs DDIM) with no shared concrete defect." - }, - { - "left": "issue:4964", - "right": "issue:6357", - "accept": false, - "reason": "Model conversion to diffusers vs API-vs-local result differences; distinct workflows and bug types." + "reason": "General StableDiffusion3Pipeline from_pretrained exception vs missing norm_added_k attribute when loading SD3.5; likely related surface area, but not clearly the same underlying bug." } ] }, @@ -85071,7 +84980,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:10337", @@ -85092,6 +85001,7 @@ "issue:272", "issue:2737", "issue:2780", + "issue:2941", "issue:3301", "issue:3537", "issue:3658", @@ -85099,19 +85009,18 @@ "issue:3689", "issue:3728", "issue:389", - "issue:3954", - "issue:3970", "issue:4086", "issue:4324", - "issue:4325", "issue:487", + "issue:4964", "issue:5043", "issue:5075", "issue:5143", "issue:5281", - "issue:5685", + "issue:557", "issue:6161", "issue:6288", + "issue:6357", "issue:6486", "issue:7003", "issue:7440", @@ -85122,6 +85031,8 @@ "issue:9171" ], "soft_pairs": [ + "issue:2941|issue:557", + "issue:4964|issue:6357", "issue:10337|issue:9108", "issue:1056|issue:1802", "issue:5075|issue:5281", @@ -85143,182 +85054,180 @@ "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:3728|issue:7955" ], - "prepared_review_unit_hash": "36726523e03eb82e730302c99a29d17a0847e352cedf30dc6cdf5e50720282b9", + "prepared_review_unit_hash": "dfd08b62d7708cce06bb13d2d4386bc9d37dd542bd29a3c591a00ebf8828c28e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33424, - "estimated_input_tokens": 8356, - "estimated_eval_tokens": 16968 + "serialized_chars": 33375, + "estimated_input_tokens": 8344, + "estimated_eval_tokens": 16944 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are mostly unrelated issues spanning schedulers, training scripts, attention backends, model support requests, and pipeline/device bugs. None of the soft pairs look like the same underlying defect, so all soft-edge candidates should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue: the cluster is too heterogeneous and the titles point to distinct bugs/features in different code paths.", + "summary": "No soft edges look like true duplicates; the pairs mostly share a subsystem or buzzword (Flux, LoRA, quantization, schedulers) but describe different bugs or feature requests. No PRs are present, and there isn\u2019t a strong duplicate cluster to collapse into a single canonical item.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 9108 is the most substantive open bug in the set: it is clearly framed, actively discussed, and describes a concrete training failure with quantized base models.", "canonical_pr_reason": null, - "best_issue_reason": "issue:7889 is the most concrete bug report with a specific function and bug description, so it is the best issue anchor if one must be chosen.", + "best_issue_reason": "Issue 9108 is the best representative issue here because it is open, well-scoped, and has the strongest discussion signal among the listed issues.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2941", + "right": "issue:557", + "accept": false, + "reason": "Both concern scheduler quality, but they are different schedulers with different symptoms and are not the same bug." + }, + { + "left": "issue:4964", + "right": "issue:6357", + "accept": false, + "reason": "Model conversion to Diffusers is unrelated to API-vs-local result differences." + }, { "left": "issue:10337", "right": "issue:9108", "accept": false, - "reason": "Both involve quantization/training, but one is FLUX IPAdapter inference and the other is resuming training with a quantized base model; different failures and code paths." + "reason": "Both involve quantization, but one is FLUX IPAdapter inference failure and the other is training resume with a quantized base model." }, { "left": "issue:1056", "right": "issue:1802", "accept": false, - "reason": "Both mention unet_2d_condition, but one is an MPS support bug and the other is encoder_hidden_states=None behavior; not the same bug." + "reason": "Same file, but distinct problems: MPS support versus encoder_hidden_states=None handling." }, { "left": "issue:5075", "right": "issue:5281", "accept": false, - "reason": "SDXL prompt-embedding shape mismatch versus multi-pipeline CPU offload device mismatch; distinct errors and fixes." + "reason": "Different failures: SDXL refiner prompt-embedding shape mismatch versus multi-pipeline CPU offload device mismatch." }, { "left": "issue:12022", "right": "issue:9171", "accept": false, - "reason": "Flash-attn interface incompatibility is unrelated to the single-file v_prediction regression." + "reason": "One is a flash-attn interface compatibility issue; the other is a from_single_file v_prediction regression." }, { "left": "issue:4086", "right": "issue:7003", "accept": false, - "reason": "ControlNet training on SDXL 0.9 and inpaint weight shape mismatch are different model/configuration problems." + "reason": "Training ControlNet on SDXL base-0.9 is not the same underlying bug as an inpaint pipeline weight-shape mismatch." }, { "left": "issue:10003", "right": "issue:7889", "accept": false, - "reason": "DDIM/DDPM inference step bug and single_file_utils checkpoint loading bugs are unrelated scheduler vs loader issues." + "reason": "DDIM/DDPM scheduler bug with 1000 steps is unrelated to single-file checkpoint loading bugs." }, { "left": "issue:1064", "right": "issue:1251", "accept": false, - "reason": "LMSDiscreteScheduler.add_noise error and RePaintPipeline black image on MPS are different pipeline/scheduler failures." + "reason": "LMSDiscreteScheduler.add_noise() error is distinct from RePaintPipeline producing black images on MPS." }, { "left": "issue:10839", "right": "issue:11127", "accept": false, - "reason": "Flux Dreambooth LoRA training last-step error and single-file Flux model loading failure are separate training vs loading bugs." + "reason": "Both mention Flux, but one is a Dreambooth LoRA training last-step error and the other is a single-file model loading problem." }, { "left": "issue:1101", "right": "issue:5043", "accept": false, - "reason": "Adding a DPM-Solver scheduler is a feature request, while Wurstchen LoRA finetuning is another unrelated feature request." + "reason": "These are separate feature requests for different capabilities and do not share the same underlying change." }, { "left": "issue:11047", "right": "issue:7440", "accept": false, - "reason": "ControlNet PAG inpaint model missing from a pipeline and a dataset availability issue are unrelated." + "reason": "ControlNet inpaint model support is unrelated to dataset availability for text-to-image." }, { "left": "issue:11422", "right": "issue:11489", "accept": false, - "reason": "Validation prompt crash in HiDream LoRA training and Flux LoRA training error are different training setups and failure modes." + "reason": "Both are training crashes, but they target different models and different failure modes." }, { "left": "issue:11519", "right": "issue:7948", "accept": false, - "reason": "MAGI-1 support request and MuLan support request are separate model-support feature requests." + "reason": "Different support requests for different models/adapters." }, { "left": "issue:2262", "right": "issue:3689", "accept": false, - "reason": "General safetensors LoRA usage question and unloading LoRA weights after loading are different API questions." + "reason": "How to use safetensors LoRA is not the same as unloading LoRA weights after loading." }, { "left": "issue:228", "right": "issue:389", "accept": false, - "reason": "Broken release link in notes versus broken README code; same general area but not the same underlying issue." + "reason": "A broken release link and broken README code are separate documentation issues." }, { "left": "issue:272", "right": "issue:2737", "accept": false, - "reason": "K-LMS inpainting support and CLIP guidance support for a scheduler are distinct scheduler feature requests." + "reason": "Both are scheduler-related feature requests, but they ask for different scheduler capabilities in different contexts." }, { "left": "issue:2780", "right": "issue:6288", "accept": false, - "reason": "FP16 gradient unscale error in a training script and a too-small default learning rate are different training issues." + "reason": "FP16 unscale runtime error is unrelated to the LCM LoRA default learning-rate discussion." }, { "left": "issue:3301", "right": "issue:4324", "accept": false, - "reason": "Dreambooth LoRA training failure and NoneType iteration in unet forward are not the same concrete bug." + "reason": "The generic training failure could hide many causes, but this is not enough to equate it with the specific NoneType error." }, { "left": "issue:3537", "right": "issue:6161", "accept": false, - "reason": "ControlNet conversion script request and always discarding next-to-last sigma are unrelated topics." + "reason": "A conversion script request is unrelated to always discarding the next-to-last sigma." }, { "left": "issue:3658", "right": "issue:5143", "accept": false, - "reason": "Additional noise latents in dreambooth upsampler training versus tiny numerical differences in UNet input/output are different problems." + "reason": "Extra noise latents in training scripts is a different bug from tiny numerical differences producing output drift." }, { "left": "issue:3658", "right": "issue:6486", "accept": false, - "reason": "Both touch dreambooth, but one is extra noise latents and the other is embedding retraction happening twice; different bugs." + "reason": "These are both Dreambooth-related, but one is an input-noise bug and the other is double embedding retraction." }, { "left": "issue:3672", "right": "issue:487", "accept": false, - "reason": "Concurrent inference failure in StableDiffusionPipeline and M1 CPU support failure are different device/threading issues." + "reason": "Concurrent inference failures are not the same as M1 CPU incompatibility." }, { "left": "issue:3728", "right": "issue:7955", "accept": false, - "reason": "New pipeline request for Shifted Diffusion and ConsistentID model support request are unrelated feature proposals." - }, - { - "left": "issue:3954", - "right": "issue:5685", - "accept": false, - "reason": "Multi-GPU learning-rate scheduler step count bug and vague potential scheduler issues do not point to the same defect." - }, - { - "left": "issue:3970", - "right": "issue:4325", - "accept": false, - "reason": "SDXL prompt embeddings not working and SDXL black image runtime warning are separate SDXL bugs with different symptoms." + "reason": "A new pipeline request and a portrait-generation model request are separate feature ideas." } ] }, @@ -85340,7 +85249,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11286", "issue:1185", @@ -85348,7 +85257,6 @@ "issue:1249", "issue:1251", "issue:13107", - "issue:1462", "issue:1463", "issue:1519", "issue:1556", @@ -85356,8 +85264,11 @@ "issue:1851", "issue:3040", "issue:3494", + "issue:3954", + "issue:3970", "issue:4043", "issue:4080", + "issue:4325", "issue:4460", "issue:4733", "issue:490", @@ -85369,7 +85280,7 @@ "issue:5538", "issue:5546", "issue:5573", - "issue:562", + "issue:5685", "issue:5960", "issue:6418", "issue:6529", @@ -85384,14 +85295,14 @@ "issue:8915", "issue:9032", "issue:9038", - "issue:9171", "issue:9359", - "issue:9768", "issue:9844", "issue:9846", "issue:9933" ], "soft_pairs": [ + "issue:3954|issue:5685", + "issue:3970|issue:4325", "issue:4043|issue:6783", "issue:4080|issue:8813", "issue:4912|issue:6529", @@ -85413,182 +85324,180 @@ "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:11286|issue:13107" ], - "prepared_review_unit_hash": "e9b7de2a548ca222586b3b2b58794bc9125125a72a0f5201f07b581f9225a9be", + "prepared_review_unit_hash": "24f63d133002afb54e4dc91460aaa053e639da159dca6ed4721226635f1e592b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34137, - "estimated_input_tokens": 8535, - "estimated_eval_tokens": 17326 + "serialized_chars": 34070, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items do not form a single duplicate cluster; they span unrelated bugs, feature requests, and platform-specific issues. I found no soft-edge pair that is convincingly the same underlying bug/change, so all candidate links should be rejected.", - "confidence": 0.74, - "canonical_issue_reason": "Among this heterogeneous set, issue 9171 is the most concrete self-contained regression (from_single_file + v_prediction handling) and is the best representative if one issue must be kept.", + "summary": "This cluster is a noisy mix of unrelated diffusers issues. None of the proposed soft pairs look like the same concrete bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "If a representative issue must be chosen, issue:5685 is the broadest and most central because it is a generic scheduler-bug report; however, the cluster is too heterogeneous to treat it as a true canonical duplicate target.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 9171 is the clearest actionable bug report with a specific code path and reproducible regression; the other issues are largely different problems or broader feature requests.", + "best_issue_reason": "issue:5685 is the best broad representative of the limited scheduler-related subtheme in this set, but it does not actually unify the cluster into one underlying defect.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3954", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a multi-gpu LR step-count bug and the other is a vague scheduler-internals report; not the same defect." + }, + { + "left": "issue:3970", + "right": "issue:4325", + "accept": false, + "reason": "Prompt-embeddings failure and black-image/runtime-warning behavior are different code paths and symptoms." + }, { "left": "issue:4043", "right": "issue:6783", "accept": false, - "reason": "Different problems: SDXL prompt-embed argument requirements vs PixArt-XL corrupted generations." + "reason": "SDXL embedding-argument requirements are unrelated to PixArt generations being corrupted." }, { "left": "issue:4080", "right": "issue:8813", "accept": false, - "reason": "Feature request for SDXL inpainting vs Differential Diffusion with Kolors; not the same bug/change." + "reason": "A new SDXL inpainting pipeline request is not the same as a Differential Diffusion issue for Kolors." }, { "left": "issue:4912", "right": "issue:6529", "accept": false, - "reason": "Checkpoint conversion support request vs SDXL Fooocus inpaint request; unrelated scopes." + "reason": "Checkpoint conversion support and SDXL Fooocus inpaint are different feature requests with no shared bug." }, { "left": "issue:4921", "right": "issue:5546", "accept": false, - "reason": "Refiner erasing details vs incorrect step count with base+refiner ensemble; different symptoms and likely different fixes." + "reason": "Refiner detail loss and wrong step counts with base+refiner ensembles are both refiner-related, but not the same underlying bug." }, { "left": "issue:5014", "right": "issue:8560", "accept": false, - "reason": "Dreambooth LoRA training quality issue vs SD3 training OOM; not the same underlying problem." + "reason": "Dreambooth LoRA quality complaints and SD3 training OOM are separate problems." }, { "left": "issue:5245", "right": "issue:8915", "accept": false, - "reason": "Import freeze in pipenv vs missing AutoPipelineForText2Image import; unrelated." + "reason": "Import freeze in pipenv and a missing import symbol are different failure modes." }, { "left": "issue:5538", "right": "issue:6418", "accept": false, - "reason": "Upscale pipeline latent handling question vs video frames repeating the first frame; different pipelines and failure modes." + "reason": "Upscale latent-usage behavior and stable-video finetuning output collapse are unrelated pipeline bugs." }, { "left": "issue:6901", "right": "issue:9933", "accept": false, - "reason": "FlaxDDIMScheduler clip_sample implementation gap vs missing width/height args in SD3 img2img; unrelated." + "reason": "A missing Flax scheduler method and missing img2img width/height params are different API gaps." }, { "left": "issue:6955", "right": "issue:7922", "accept": false, - "reason": "Tokenizer attribute error during inference vs missing ORTStableDiffusionXLPipeline symbol; different code paths." + "reason": "A Transformers AddedToken attribute error and a missing ORT pipeline attribute are distinct import/runtime issues." }, { "left": "issue:9032", "right": "issue:9038", "accept": false, - "reason": "Both are Flax pipeline questions, but one is TPU setup and the other prompt weighting; not the same bug/change." + "reason": "Both are FlaxStableDiffusionPipeline questions, but one is a TPU setup request and the other is about prompt weighting." }, { "left": "issue:9359", "right": "issue:9844", "accept": false, - "reason": "Scheduler step ValueError in SDXL pipeline vs NaNs from SDXL VAE encoder; distinct failures." + "reason": "A scheduler step ValueError and SDXL VAE NaNs are different stages of the pipeline." }, { "left": "issue:5573", "right": "issue:5960", "accept": false, - "reason": "Slow ControlNet weight init vs invalid-cast warning during SDXL ControlNet training; different issues." + "reason": "Slow ControlNet weight init and invalid-value casting in SDXL ControlNet training are not the same bug." }, { "left": "issue:1249", "right": "issue:3040", "accept": false, - "reason": "ONNXPipeline ndarray device attribute error vs copied-docs list __module__ error; not the same bug." + "reason": "OnnxPipeline ndarray/device handling and a docs copy-paste '__module__' error are unrelated." }, { "left": "issue:1519", "right": "issue:760", "accept": false, - "reason": "Both involve MPS behavior, but one is batch-input noise on M2 and the other is unexpected output in an older release; not enough to treat as the same defect." + "reason": "Both involve MPS, but one is batch-input noise on M2 and the other is unexpected output on older diffusers; too different to merge." }, { "left": "issue:1463", "right": "issue:4733", "accept": false, - "reason": "Missing datasets dependency vs optimizer resume error in dreambooth LoRA training; unrelated." + "reason": "Missing the datasets package and a dreambooth checkpoint-resume optimizer assertion are unrelated." }, { "left": "issue:1655", "right": "issue:490", "accept": false, - "reason": "ImageVariationPipeline initialization failure vs general memory issues; different problem classes." + "reason": "Pipeline initialization failure and general memory issues are not the same defect." }, { "left": "issue:5064", "right": "issue:7682", "accept": false, - "reason": "Refiner inference out-of-space issue vs multi-GPU SD1.5 behavior; unrelated." + "reason": "Refiner out-of-space and multi-GPU scaling issues are separate resource/performance problems." }, { "left": "issue:1185", "right": "issue:1851", "accept": false, - "reason": "Dreambooth reproducibility vs multi-GPU slowness; different concerns." + "reason": "Dreambooth reproducibility and multi-GPU slowdown are different training concerns." }, { "left": "issue:11865", "right": "issue:9846", "accept": false, - "reason": "Both mention missing from_single_file support, but for different model classes and likely different implementations; not the same concrete bug." + "reason": "Missing from_single_file on two different model classes is a similar API gap, but not one concrete bug." }, { "left": "issue:1251", "right": "issue:1556", "accept": false, - "reason": "Both mention black images, but one is RePaint on MPS and the other is CUDA/NSFW-related output; different code paths and causes." + "reason": "Both mention black images, but they affect different pipelines/hardware paths and do not look like one bug." }, { "left": "issue:3494", "right": "issue:4460", "accept": false, - "reason": "MultiDiffusion scheduler corruption vs broad SD vs diffusers output differences; too general and not the same bug." + "reason": "Corrupted Multidiffusion outputs with schedulers and generic stable-diffusion/diffusers result differences are too broad to be duplicates." }, { "left": "issue:11286", "right": "issue:13107", "accept": false, - "reason": "Both are LoRA loading errors, but for different models and error details; not clearly the same underlying issue." - }, - { - "left": "issue:1462", - "right": "issue:562", - "accept": false, - "reason": "Multiple-images/masks unassigned-variable bug vs LMSDiscreteScheduler incompatibility; unrelated." - }, - { - "left": "issue:9171", - "right": "issue:9768", - "accept": false, - "reason": "Single-file v_prediction regression vs torch 2.5 SDPA NaN/CuDNN issue; different failures and fixes." + "reason": "Both are LoRA-loading errors, but one is generic and the other is a specific Flux Klein missing-key report; not clearly the same underlying bug." } ] }, @@ -85610,17 +85519,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1013", "issue:10198", "issue:10591", "issue:10675", - "issue:10743", "issue:1083", "issue:10962", "issue:11644", - "issue:11661", "issue:12126", "issue:125", "issue:12896", @@ -85628,6 +85535,7 @@ "issue:13232", "issue:13301", "issue:13477", + "issue:1462", "issue:1574", "issue:1708", "issue:2015", @@ -85646,22 +85554,25 @@ "issue:4504", "issue:5124", "issue:5458", + "issue:562", "issue:6238", "issue:6533", "issue:6727", - "issue:7009", "issue:7936", "issue:8503", "issue:8594", "issue:8723", "issue:8832", "issue:8960", + "issue:9171", "issue:945", - "issue:9488", "issue:9670", - "issue:9686" + "issue:9686", + "issue:9768" ], "soft_pairs": [ + "issue:1462|issue:562", + "issue:9171|issue:9768", "issue:3886|issue:8594", "issue:125|issue:2548", "issue:12896|issue:13105", @@ -85684,188 +85595,186 @@ "issue:2035|issue:4014", "issue:12126|issue:13477", "issue:5124|issue:945", - "issue:1574|issue:1708", - "issue:7009|issue:9488", - "issue:10743|issue:11661" + "issue:1574|issue:1708" ], - "prepared_review_unit_hash": "9dc8472241a957d76013b229a505a027b9b93f82cdecbb63c3578ff79c3fdf7b", + "prepared_review_unit_hash": "3fad304a8550af05ca73ecad01bb4bdbbac9747a2a5e05a2e8a9f3324de34bb4", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 33926, - "estimated_input_tokens": 8482, - "estimated_eval_tokens": 17220 + "serialized_chars": 34005, + "estimated_input_tokens": 8502, + "estimated_eval_tokens": 17260 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is low-cohesion: it mixes unrelated bugs across many models, pipelines, and training scripts. The soft pairs are only superficially similar (same subsystem keywords, not same underlying defect), so none should be merged as duplicates.", - "confidence": 0.96, - "canonical_issue_reason": "No clear canonical issue exists for the cluster as a whole; the items span distinct problems in different code paths (Flux, WAN, SD3, LTX, LoRA loading, ONNX, training scripts, and pipeline init/runtime errors).", + "summary": "This cluster is heterogeneous: the issues span unrelated pipelines, training scripts, loaders, and model-specific regressions. None of the soft pairs looks like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the items cover many distinct problems across different code paths, so there is no clear duplicate target.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 9686 is the most concrete and debuggable report, with a specific SD3 ControlNet failure path (`controlnet_pooled_projections`) and active discussion, but it still only represents a narrow slice of the cluster.", + "best_issue_reason": "None of the issues is a strong global representative because the cluster is not centered on one concrete bug or feature request.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1462", + "right": "issue:562", + "accept": false, + "reason": "Both are inpainting-related, but one is an unassigned-variable crash with multiple masks/images and the other is a scheduler compatibility bug; different failure modes and code paths." + }, + { + "left": "issue:9171", + "right": "issue:9768", + "accept": false, + "reason": "Both mention bad outputs/NaNs, but one is a from_single_file regression for v_prediction and the other is a CuDNN SDPA backend NaN issue; not the same bug." + }, { "left": "issue:3886", "right": "issue:8594", "accept": false, - "reason": "Both are training failures, but one is a DDP watchdog timeout in DDPM training and the other is an UnboundLocalError in SD3 DreamBooth LoRA; different code paths and root causes." + "reason": "One is a distributed timeout while training DDPM; the other is an UnboundLocalError in a SD3 dreambooth script. Different root causes." }, { "left": "issue:125", "right": "issue:2548", "accept": false, - "reason": "Accelerate launch argument parsing vs. LoRA save-time failure; they are unrelated training-script problems." + "reason": "Accelerate launch argument handling and LoRA save/fine-tuning errors are unrelated issues." }, { "left": "issue:12896", "right": "issue:13105", "accept": false, - "reason": "Both mention WAN, but one is a CUDA/MPS inference backend mismatch and the other is output noise for a different WAN model/version." + "reason": "Different WAN model versions and different symptoms; one is a CUDA vs MPS inference mismatch, the other is output noise." }, { "left": "issue:3910", "right": "issue:5458", "accept": false, - "reason": "Both involve LoRA loading, but one is a generic load failure and the other is a `local_files_only` download-behavior bug in `lora_state_dict`." + "reason": "Both involve LoRA loading, but one is a generic 'certain LoRA will not load' report and the other is specifically about local_files_only behavior; not the same concrete bug." }, { "left": "issue:2439", "right": "issue:6238", "accept": false, - "reason": "Inpainting pipeline loading/running issue vs. SDXL VAE issue; different components and symptoms." + "reason": "Inpainting pipeline load/run problems and SDXL VAE issues are separate pipeline/component failures." }, { "left": "issue:4504", "right": "issue:7936", "accept": false, - "reason": "Both are safetensor-related, but one is an uninitialized `state_dict` during LoRA loading and the other is invalid JSON when loading a local safetensors file." + "reason": "Both touch safetensors loading, but one is a LoRA state_dict assignment error and the other is a local file JSON-format parsing issue; different code paths." }, { "left": "issue:8723", "right": "issue:8960", "accept": false, - "reason": "SD3ControlNetModel init failure vs. nonfunctional gradient accumulation in a training example; unrelated bugs." + "reason": "SD3 ControlNet initialization and gradient accumulation in a training example are unrelated." }, { "left": "issue:1013", "right": "issue:3887", "accept": false, - "reason": "Both concern generation quality, but one is a broken pipeline compatibility issue and the other is an output-difference report for a standard SD pipeline." + "reason": "One is a specific StableDiffusionMegaPipeline compatibility break with Diffusers 6.0; the other is a broad 'different effect' report for SD pipeline output quality." }, { "left": "issue:10198", "right": "issue:10675", "accept": false, - "reason": "Both are Flux-related, but weight mismatch and scheduler `max_shift` configuration are distinct defects." + "reason": "Flux weight mismatch and Flux scheduler max_shift configuration are different issues." }, { "left": "issue:10591", "right": "issue:9686", "accept": false, - "reason": "Both are SD3-related, but one is a LoRA training-script bug and the other is a ControlNet pooled-projection inference/model bug." + "reason": "SD3 LoRA training script problems and SD3 ControlNet pooled projection bugs are separate components." }, { "left": "issue:10962", "right": "issue:8832", "accept": false, - "reason": "CogView4 prompt-embed shape handling vs. a generic pipeline crash on `pipe(prompt).images[0]`; not the same failure." + "reason": "Prompt-embed shape handling in Cogview4 and a generic pipeline crash on image generation do not match the same underlying bug." }, { "left": "issue:13232", "right": "issue:13301", "accept": false, - "reason": "Different model support requests: LTX-2.3 vs. PixArtAlpha modular pipeline support." + "reason": "One requests LTX-2.3 support, the other requests PixArtAlphaPipeline modular support; these are different feature requests." }, { "left": "issue:2015", "right": "issue:6533", "accept": false, - "reason": "Categorical diffusion pipeline request vs. Marigold monocular depth pipeline; unrelated features." + "reason": "Categorical diffusion and Marigold depth estimation are unrelated pipelines." }, { "left": "issue:3026", "right": "issue:3803", "accept": false, - "reason": "InstructPix2Pix accelerate-launch error vs. multi-GPU LoRA model-sharing bug; different scripts and root causes." + "reason": "InstructPix2Pix accelerate-launch errors are unrelated to multi-GPU LoRA model sharing issues." }, { "left": "issue:3418", "right": "issue:4366", "accept": false, - "reason": "LoRA text-encoder support request vs. SDXL full U-Net fine-tuning request; same broad area, but not the same bug/change." + "reason": "Adding text-encoder code to a LoRA script is not the same as full U-Net fine-tuning for SD-XL." }, { "left": "issue:4337", "right": "issue:6727", "accept": false, - "reason": "torch.compile ControlNetReference failure vs. Q/K/V dtype mismatch; entirely different issues." + "reason": "torch.compile failure in a community ControlNet reference is unrelated to a Q/K/V dtype validation error." }, { "left": "issue:5458", "right": "issue:9670", "accept": false, - "reason": "Both mention LoRA loading, but one is about honoring `local_files_only` and the other is about requiring the PEFT backend." + "reason": "One is about honoring local_files_only when loading LoRA state dicts; the other is a missing PEFT-backend requirement." }, { "left": "issue:1083", "right": "issue:945", "accept": false, - "reason": "ONNX-related, but one is incorrect FP16 output and the other is inability to add a custom checkpoint for conversion." + "reason": "FP16 ONNX incorrect output and custom-checkpoint-to-ONNX conversion are different ONNX-related problems." }, { "left": "issue:11644", "right": "issue:8503", "accept": false, - "reason": "LTXConditionPipeline init-from-pretrained error vs. SD3 gradient-checkpointing crash; different models and code paths." + "reason": "LTXConditionPipeline init-from-pretrained and SD3 gradient-checkpointing crashes are different failures." }, { "left": "issue:2035", "right": "issue:4014", "accept": false, - "reason": "Tiled upscaling artifacts vs. SDXL watermark pixel artifacts; different artifact sources." + "reason": "Tiled upscaling artifacts and SDXL watermark pixel artifacts are separate image-quality issues." }, { "left": "issue:12126", "right": "issue:13477", "accept": false, - "reason": "WAN transformer2 cache-context NoneType error vs. ErnieImage callback locals-scope bug; unrelated runtime failures." + "reason": "WAN transformer/cache_context switching error and ErnieImage locals() scope bug are unrelated." }, { "left": "issue:5124", "right": "issue:945", "accept": false, - "reason": "Fine-tuning checkpoint safetensor question vs. custom checkpoint ONNX conversion issue; not the same defect." + "reason": "Fine-tuning checkpoint .safetensor and converting a custom checkpoint to ONNX are different tasks and bugs." }, { "left": "issue:1574", "right": "issue:1708", "accept": false, - "reason": "Dreambooth training failure on 8GB GPU vs. YAML config passing for inference; unrelated." - }, - { - "left": "issue:7009", - "right": "issue:9488", - "accept": false, - "reason": "Poor TextToVideoSDPipeline results vs. Lumina generating no image at all; different pipelines and symptoms." - }, - { - "left": "issue:10743", - "right": "issue:11661", - "accept": false, - "reason": "Both are FLUX training issues, but zero-3 support and `args.max_train_steps` handling are separate code-path problems." + "reason": "Dreambooth training failure on 8GB Linux and passing YAML config for inference are unrelated." } ] }, @@ -85887,16 +85796,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10039", "issue:10145", "issue:10573", + "issue:10743", "issue:10994", - "issue:11343", - "issue:11374", "issue:11396", "issue:11464", + "issue:11661", "issue:11821", "issue:12096", "issue:12221", @@ -85922,10 +85831,10 @@ "issue:6323", "issue:6366", "issue:6481", + "issue:7009", "issue:7368", "issue:7418", "issue:7460", - "issue:7736", "issue:7798", "issue:7968", "issue:8509", @@ -85934,10 +85843,12 @@ "issue:9147", "issue:9306", "issue:9476", - "issue:9551", - "issue:9645" + "issue:9488", + "issue:9551" ], "soft_pairs": [ + "issue:7009|issue:9488", + "issue:10743|issue:11661", "issue:5246|issue:7968", "issue:6087|issue:6366", "issue:7460|issue:7798", @@ -85959,24 +85870,22 @@ "issue:4206|issue:7418", "issue:10994|issue:9476", "issue:11821|issue:12096", - "issue:10573|issue:11464", - "issue:11343|issue:9645", - "issue:11374|issue:7736" + "issue:10573|issue:11464" ], - "prepared_review_unit_hash": "2211a022c2820b4b5a552307f43ea2991bf3826a635e3f68e641bed2342dae1e", + "prepared_review_unit_hash": "25305ff556ffbbf23fb24b6b88c4c692b6e179af8d0249f0c8b9d41a09951c14", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33245, + "serialized_chars": 33247, "estimated_input_tokens": 8312, "estimated_eval_tokens": 16880 }, @@ -85985,156 +85894,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a set of unrelated issues that only share broad Diffusers/usage vocabulary. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any of them by duplicate triage. The most canonical issue is the concrete, code-path-specific bug in `unet_2d_blocks.py` (issue 10039).", + "summary": "These items are mostly unrelated bug reports and feature requests that only share broad subsystem names (e.g. FLUX, LoRA, pipelines). No soft pair looks like the same concrete underlying issue/change, so all soft-edge candidates should be rejected.", "confidence": 0.9, - "canonical_issue_reason": "Issue 10039 is the clearest concrete bug report with an explicit file and missing-argument fix path (`AttnUpBlock2D()` in `unet_2d_blocks.py`).", + "canonical_issue_reason": "Issue 10994 is a concrete, reproducible bug report in a specific training script (train_dreambooth_lora_flux) with a clear failure mode and active discussion, making it a strong representative issue.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 10039 is the best representative because it is specific, actionable, and clearly tied to a single code path rather than a broad usage question or feature request.", + "best_issue_reason": "Issue 10994 is the clearest standalone bug report here: specific scope, concrete crash, and enough detail to anchor triage.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:7009", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: one reports poor generations in TextToVideoSDPipeline, the other a Lumina pipeline failing to generate any image." + }, + { + "left": "issue:10743", + "right": "issue:11661", + "accept": false, + "reason": "One is a training feature request for ZeRO-3 in FLUX training; the other is a script bug about args.max_train_steps when None in flux-control." + }, { "left": "issue:5246", "right": "issue:7968", "accept": false, - "reason": "Different components and failures: a missing `CLIPImageProjection` attribute vs attention behavior in `UNetMotionModel`." + "reason": "Unrelated code paths: missing CLIPImageProjection attribute vs attention logic in UNetMotionModel's motion module." }, { "left": "issue:6087", "right": "issue:6366", "accept": false, - "reason": "Both involve LoRA training, but one is about saving/loading `LoraConfig` and the other about checkpoint loading in SDXL training scripts; not the same bug." + "reason": "Both involve LoRA training/loading, but they are different concrete bugs in different scripts and failure points, so they should not be merged." }, { "left": "issue:7460", "right": "issue:7798", "accept": false, - "reason": "AdaLayerNorm bug vs a PixArtAlpha pipeline bug; too broad and not clearly the same failure." + "reason": "Different model/components entirely: AdaLayerNorm bug versus a PixArtAlphaPipeline bug." }, { "left": "issue:3300", "right": "issue:4615", "accept": false, - "reason": "One is a general HF breakage report, the other is a specific import error for ControlNet pipeline; not the same underlying issue." + "reason": "Generic brokenness complaint versus a specific ImportError for a controlnet pipeline; not the same issue." }, { "left": "issue:5544", "right": "issue:9147", "accept": false, - "reason": "FreeU disable error in SDXL is unrelated to an autopipeline error for Flux." + "reason": "Different features and failures: FreeU disable error in SDXL versus an autopipeline error for FLUX." }, { "left": "issue:5327", "right": "issue:5544", "accept": false, - "reason": "Textual inversion loading in SDXL is unrelated to FreeU toggling behavior." + "reason": "Different concerns: textual inversion loading in SDXL versus FreeU toggling behavior." }, { "left": "issue:5934", "right": "issue:9306", "accept": false, - "reason": "`torch.compile` error and CogVideoX wrong device selection are different code paths and symptoms." + "reason": "Different bug classes and code paths: torch.compile error versus wrong device selection in CogVideoXPipeline.from_pretrained." }, { "left": "issue:10039", "right": "issue:8588", "accept": false, - "reason": "One is a missing sample-size argument in a UNet block, the other is a missing SD3 conversion script." + "reason": "Completely different areas: UNet block argument wiring versus a missing conversion script for SD3." }, { "left": "issue:10145", "right": "issue:11396", "accept": false, - "reason": "OOM during Dreambooth Flux LoRA training is unrelated to converting a HiDream LoRA for ComfyUI." + "reason": "OOM during FLUX Dreambooth LoRA training is unrelated to converting a HiDream LoRA for ComfyUI." }, { "left": "issue:12221", "right": "issue:13301", "accept": false, - "reason": "A feature request for DiffSynth ControlNet support is unrelated to PixArtAlpha modular pipeline support." + "reason": "Both are feature requests, but they request different model support and different pipeline integrations." }, { "left": "issue:1466", "right": "issue:2402", "accept": false, - "reason": "Windows/MacOS incompatibility in a training example is unrelated to CUDA-not-compiled errors." + "reason": "Different problems: OS compatibility for the Dreambooth example versus CUDA-not-compiled runtime environment failure." }, { "left": "issue:2844", "right": "issue:4677", "accept": false, - "reason": "StableUnCLIP image-embedding handling is unrelated to the text-guided image-inpainting doc error." + "reason": "Different pipelines and error conditions: explicit image embeddings in StableUnCLIPImg2ImgPipeline versus an inpainting doc script error." }, { "left": "issue:4107", "right": "issue:6481", "accept": false, - "reason": "SDXL LoRA quality degradation is unrelated to batch-size crashes in Dreambooth training." + "reason": "Both are training-related, but one is SDXL LoRA quality/noise regression and the other is batch-size>1 training failure." }, { "left": "issue:4453", "right": "issue:7368", "accept": false, - "reason": "LoRA conversion for A1111 is unrelated to training GLIGEN in Diffusers." + "reason": "LoRA conversion for AUTO1111 is unrelated to a GLIGEN training question." }, { "left": "issue:6323", "right": "issue:8609", "accept": false, - "reason": "TensorRT pipeline attribute error is unrelated to a custom pipeline/IP-Adapter issue." + "reason": "Different pipeline features: TensorRT Img2Img guidance_scale attribute bug versus custom pipeline/IP-Adapter compatibility." }, { "left": "issue:8509", "right": "issue:9551", "accept": false, - "reason": "ControlNet++ request and x-labs Flux ControlNet usage are different topics and failure modes." + "reason": "Both mention controlnets, but one is a ControlNet++ request and the other asks about x-labs FLUX controlnet models; not the same change." }, { "left": "issue:2552", "right": "issue:3803", "accept": false, - "reason": "Tutorial question for StableDiffusionInpaintPipeline is unrelated to multi-GPU LoRA training behavior." + "reason": "Tutorial question for StableDiffusionInpaintPipeline versus multi-GPU LoRA training sharing bug; unrelated." }, { "left": "issue:3124", "right": "issue:3238", "accept": false, - "reason": "General Stable Diffusion model conversion and LoRA safetensor conversion are different conversion problems." + "reason": "Both are conversion-related, but one is general Stable Diffusion model conversion and the other is converting LoRA safetensors to diffusers format." }, { "left": "issue:4206", "right": "issue:7418", "accept": false, - "reason": "SDXL controlnet training breakage is unrelated to a community upscale script bug." + "reason": "Different bug reports in different files/features: SDXL controlnet training breakage versus a community upscale pipeline bug." }, { "left": "issue:10994", "right": "issue:9476", "accept": false, - "reason": "Both are Flux LoRA training issues, but one is a batch-size crash and the other is a validation dtype mismatch; not the same concrete bug." + "reason": "Same training script family, but different failures: batch-size crash versus validation dtype mismatch." }, { "left": "issue:11821", "right": "issue:12096", "accept": false, - "reason": "Both are WanVACEPipeline issues, but one is unsupported prompt lists and the other is group offloading; distinct problems." + "reason": "Same pipeline name, but different unsupported feature/error: list-of-prompts handling versus apply_group_offloading incompatibility." }, { "left": "issue:10573", "right": "issue:11464", "accept": false, - "reason": "Multiple-ControlNet padding crop bug and FluxControlPipeline LoRA loading are unrelated." - }, - { - "left": "issue:11343", - "right": "issue:9645", - "accept": false, - "reason": "Both are import errors, but they concern different symbols and likely different dependency-breakage paths." - }, - { - "left": "issue:11374", - "right": "issue:7736", - "accept": false, - "reason": "Feature request for SkyReels-V2 support is unrelated to supported callbacks work." + "reason": "Different pipelines and subsystems: multi-controlnet padding_mask_crop bug versus loading a FLUX LoRA into a FluxControlPipeline." } ] }, @@ -86156,11 +86065,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10191", "issue:10427", "issue:10472", + "issue:11343", + "issue:11374", "issue:11547", "issue:1156", "issue:11938", @@ -86174,13 +86085,10 @@ "issue:2100", "issue:2414", "issue:2663", - "issue:2780", - "issue:3086", "issue:3140", "issue:3149", "issue:3162", "issue:3441", - "issue:3674", "issue:4213", "issue:4303", "issue:4701", @@ -86190,7 +86098,6 @@ "issue:6160", "issue:6323", "issue:6363", - "issue:6452", "issue:6481", "issue:6552", "issue:6610", @@ -86199,15 +86106,19 @@ "issue:7300", "issue:7341", "issue:7390", + "issue:7736", "issue:785", "issue:8472", "issue:9186", "issue:9619", + "issue:9645", "issue:9660", "issue:9729", "issue:9971" ], "soft_pairs": [ + "issue:11343|issue:9645", + "issue:11374|issue:7736", "issue:3162|issue:7341", "issue:6481|issue:6821", "issue:8472|issue:9660", @@ -86229,182 +86140,180 @@ "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:2414|issue:3140" ], - "prepared_review_unit_hash": "6c4d9bfcdd5bdf51ec72579e35a68d92cb9ee6e37e778bc36ad345dc8335a3cd", + "prepared_review_unit_hash": "436ddae95cd122b7aff94c56c50ebcfa410981f555c36c26b5f5849816af8791", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34129, - "estimated_input_tokens": 8533, - "estimated_eval_tokens": 17322 + "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 not a true duplicate set: the issues span unrelated loading, training, pipeline, scheduler, and configuration bugs. All soft-similarity pairs should be rejected.", - "confidence": 0.97, + "summary": "No convincing duplicate cluster here: the items span many unrelated bugs, feature requests, and training/import/runtime issues. All soft-edge pairs look like false positives and should be rejected.", + "confidence": 0.98, "canonical_issue_reason": null, "canonical_pr_reason": null, "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11343", + "right": "issue:9645", + "accept": false, + "reason": "Both are import failures, but one is a broad transformers-version compatibility problem while the other is a specific missing `StableDiffusionLoraLoaderMixin` symbol; different underlying causes." + }, + { + "left": "issue:11374", + "right": "issue:7736", + "accept": false, + "reason": "Feature requests in different areas: SkyReels-V2 support vs adding callbacks support. Not the same change." + }, { "left": "issue:3162", "right": "issue:7341", "accept": false, - "reason": "Different failures: missing `learned_classifier_free_sampling_embeddings` vs Torch/Version comparison TypeError." + "reason": "Different errors and code paths: missing `learned_classifier_free_sampling_embeddings` vs `TorchVersion`/`Version` comparison failure." }, { "left": "issue:6481", "right": "issue:6821", "accept": false, - "reason": "Dreambooth batch-size training bug vs dataset `caption_column` validation error." + "reason": "Unrelated training problems: batch size > 1 Dreambooth failure vs invalid `caption_column` value validation error." }, { "left": "issue:8472", "right": "issue:9660", "accept": false, - "reason": "LoRA-with-other-modules question vs `from_pretrained` not setting eval mode; unrelated code paths." + "reason": "One asks about pre-training LoRA with other modules, the other reports `from_pretrained` not setting modules to eval mode; not the same bug." }, { "left": "issue:2663", "right": "issue:4303", "accept": false, - "reason": "StableDiffusion safety checker safetensors load issue vs Flax SDXL load crash." + "reason": "Both involve loading models, but one is a safetensors/safety-checker loading failure and the other is SDXL crashing in Flax; different subsystems." }, { "left": "issue:12459", "right": "issue:13277", "accept": false, - "reason": "Batch throughput concern in FLUX vs QwenImagePipeline failure with Ulysses SP; different problems." + "reason": "Both mention performance/batch behavior, but one is FLUX.1-Kontext-dev throughput and the other is QwenImagePipeline with Ulysses SP batch inputs." }, { "left": "issue:3149", "right": "issue:785", "accept": false, - "reason": "Non-deterministic images vs PNDM scheduler performance cost; not the same bug." + "reason": "Non-determinism in outputs vs scheduler performance cost; clearly different issues." }, { "left": "issue:1156", "right": "issue:1730", "accept": false, - "reason": "Generic training failure vs converted CKPT not working in web UI." + "reason": "Generic training failure vs converted Dreambooth CKPT compatibility with webui; not the same underlying problem." }, { "left": "issue:6610", "right": "issue:7390", "accept": false, - "reason": "Ignored `num_in_channels` in single-file inpaint loading vs SDXL ControlNet inpaint single-file error." + "reason": "Both touch `from_single_file` in inpaint/controlnet contexts, but the symptoms differ: `num_in_channels` ignored vs explicit controlnet inpaint error." }, { "left": "issue:10472", "right": "issue:9729", "accept": false, - "reason": "Unexpected `lora_bias` argument vs unexpected save-model type for Flux Dreambooth; different failures." + "reason": "Different LoRA/Flux problems: unexpected `lora_bias` argument vs unexpected save-model handling for T5EncoderModel." }, { "left": "issue:3441", "right": "issue:7300", "accept": false, - "reason": "General VRAM usage with PyTorch 2 vs high memory after `set_default_attn_processor()`." + "reason": "Both are memory-related, but one is PyTorch 2 without xformers under certain situations and the other is `set_default_attn_processor()` increasing UNet memory; different triggers." }, { "left": "issue:6363", "right": "issue:6552", "accept": false, - "reason": "FP16 unscale gradient error in LoRA training vs FP16 resume-training issue; related area but different bug." + "reason": "Training FP16 issues, but one is `Attempting to unscale FP16 gradients` in a LoRA script and the other is a resuming problem tracker for FP16 examples." }, { "left": "issue:4213", "right": "issue:5616", "accept": false, - "reason": "Both involve SDXL loading, but one is missing `accelerate` for `from_single_file` while the other is a safetensors load error." + "reason": "Different loading failures: `from_single_file()` needing accelerate vs downloaded SDXL safetensors error." }, { "left": "issue:4701", "right": "issue:6160", "accept": false, - "reason": "AutoencoderKL CUDA gradient issue vs textual inversion Colab trainer error; not the same code path." + "reason": "AutoencoderKL CUDA float32 gradient error vs textual inversion Colab trainer error; unrelated code paths." }, { "left": "issue:10191", "right": "issue:6323", "accept": false, - "reason": "GPU device selection bug vs TensorRT img2img cannot set `guidance_scale` attribute." + "reason": "GPU device selection bug vs TensorRT pipeline attribute-setting bug; no shared concrete defect." }, { "left": "issue:10427", "right": "issue:9619", "accept": false, - "reason": "GGUF loading support request vs ControlNet interrupt support request; feature areas differ." + "reason": "GGUF loading for AuraFlow vs adding interrupt support to ControlNet pipeline; unrelated changes." }, { "left": "issue:11547", "right": "issue:9186", "accept": false, - "reason": "Flux fill ControlNet support feature vs differential diffusion with ControlNet; distinct feature requests." + "reason": "Both involve ControlNet/Flux themes, but one is a feature request for Flux fill dev support and the other is differential diffusion with ControlNet pipeline behavior." }, { "left": "issue:11938", "right": "issue:9971", "accept": false, - "reason": "RMSNorm registration bug vs DEIS scheduler not working on FLUX; unrelated subsystems." + "reason": "RMSNorm parameter registration bug vs DEIS scheduler not working on FLUX; different functionality." }, { "left": "issue:1375", "right": "issue:2100", "accept": false, - "reason": "Both are import errors, but one is a broken release regression and the other is a missing pipeline symbol." + "reason": "Both are import errors, but one is a general breakage from PR #1365 and the other is a missing `UnCLIPImageVariationPipeline` import." }, { "left": "issue:1572", "right": "issue:5380", "accept": false, - "reason": "Stable Diffusion Mega img2img/inpainting failure vs community pipeline mixture tiling; different pipelines and behavior." + "reason": "Stable Diffusion Mega img2img/inpainting failure vs community pipeline mixture tiling; unrelated pipeline features." }, { "left": "issue:1655", "right": "issue:684", "accept": false, - "reason": "ImageVariation pipeline init failure vs AMD training memory optimization issue." + "reason": "Initialization failure for `StableDiffusionImageVariationPipeline` vs AMD training memory optimization issue; different bugs." }, { "left": "issue:1672", "right": "issue:5969", "accept": false, - "reason": "Wrong image size after conversion vs DDIM NaNs with ZSNR patch; not the same symptom or fix." + "reason": "Wrong image size after conversion vs DDIM NaNs with ZSNR patch; unrelated symptoms and fixes." }, { "left": "issue:2414", "right": "issue:3140", "accept": false, - "reason": "Missing `transformers` import when loading from hub vs missing `StableDiffusionControlNetPipeline` import." - }, - { - "left": "issue:2780", - "right": "issue:3674", - "accept": false, - "reason": "FP16 gradient unscale error vs metadata.jsonl parsing problem in LoRA training script." - }, - { - "left": "issue:3086", - "right": "issue:6452", - "accept": false, - "reason": "Audio-to-image task vs adding `masked_image_latents` input; unrelated functionality." + "reason": "`transformers` NameError while loading a model vs inability to import ControlNet pipeline; different import problems with different causes." } ] }, @@ -86426,7 +86335,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10120", @@ -86445,21 +86354,21 @@ "issue:1556", "issue:1792", "issue:2299", - "issue:235", + "issue:2780", "issue:2907", + "issue:3086", "issue:3338", "issue:3428", - "issue:3853", + "issue:3674", "issue:3908", "issue:4841", "issue:4972", - "issue:525", "issue:5365", - "issue:5520", "issue:5963", "issue:6028", "issue:6132", "issue:6362", + "issue:6452", "issue:6593", "issue:6964", "issue:7180", @@ -86478,6 +86387,8 @@ "issue:9732" ], "soft_pairs": [ + "issue:2780|issue:3674", + "issue:3086|issue:6452", "issue:4841|issue:9239", "issue:5963|issue:9007", "issue:7440|issue:8673", @@ -86499,189 +86410,190 @@ "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:1546|issue:1556" ], - "prepared_review_unit_hash": "ef21bd9ff6a8703d85b2a05608bc1c000ccd08e8dd796eb880f374dcd7938761", + "prepared_review_unit_hash": "8a9606e26e037c2021264d8636c61b620adcf3b981c699ff6444bf7562599c30", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33773, - "estimated_input_tokens": 8444, - "estimated_eval_tokens": 17144 + "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": "This cluster is heterogeneous: most items are unrelated diffusion-model bugs, memory issues, or pipeline-specific regressions. There isn\u2019t a clear single canonical issue/PR for the whole cluster, and the soft pairs are mostly broad similarity matches rather than true duplicates.", - "confidence": 0.83, - "canonical_issue_reason": null, + "summary": "This cluster is mostly heterogeneous; most soft edges are only broad subsystem similarity, not duplicates. The only plausible duplicate is the feature_extractor/safety_checker pipeline-init failure pair (1407 \u2194 1792).", + "confidence": 0.52, + "canonical_issue_reason": "issue:1792 is the clearest and broadest report of the shared initialization failure around missing feature_extractor/safety_checker; it generalizes the same code-path problem more than the PR-specific regression report in 1407.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "issue:1792 has a concrete repro and captures the underlying pipeline initialization bug most generally.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2780", + "right": "issue:3674", + "accept": false, + "reason": "Different failures: FP16 gradient unscale vs dataset metadata parsing." + }, + { + "left": "issue:3086", + "right": "issue:6452", + "accept": false, + "reason": "Unrelated pipeline behaviors: audio-to-image vs adding masked_image_latents input." + }, { "left": "issue:4841", "right": "issue:9239", "accept": false, - "reason": "Both mention ControlNet/black-image style failures, but one is an image-size issue and the other is black output with ControlNet-Canny; too little evidence of the same root bug." + "reason": "Both involve image generation issues, but one is image-size handling and the other is black output with ControlNet-Canny." }, { "left": "issue:5963", "right": "issue:9007", "accept": false, - "reason": "Different problems in Kandinsky 3.0: one is passing embeds instead of prompts, the other is black output with a specific scheduler/order setting." + "reason": "Different bugs: Kandinsky embeds-vs-prompts handling vs DPMSolver black output at order 3." }, { "left": "issue:7440", "right": "issue:8673", "accept": false, - "reason": "Completely different topics: dataset availability versus missing attention masks in SD3." + "reason": "Dataset availability is unrelated to SD3 attention-mask handling." }, { "left": "issue:9479", "right": "issue:9637", "accept": false, - "reason": "Both involve masks, but one is inpainting behavior and the other is an XFormers attention-mask failure; different code paths and symptoms." + "reason": "Inpaint mask preservation and XFormers attention-mask/bfloat16 failure are distinct code paths." }, { "left": "issue:4972", "right": "issue:7180", "accept": false, - "reason": "Unrelated pipeline/example failures: Wuerstchen example code versus SDXL ControlNet CPU offload." + "reason": "Example runtime failure vs SDXL ControlNet CPU offload failure; not the same bug." }, { "left": "issue:11302", "right": "issue:11315", "accept": false, - "reason": "Different bugs in different areas: quantized model saving for HiDream versus float64 RoPE on MPS." + "reason": "Quantized model save issue and MPS float64 rope init bug are unrelated." }, { "left": "issue:6964", "right": "issue:7220", "accept": false, - "reason": "Both are ControlNet/Inpaint-adjacent, but one is about 4-channel UNet support and the other is an unload_ip_adapter error; not the same bug." + "reason": "Same pipeline family, but one is 4-channel UNet compatibility and the other is unload_ip_adapter cleanup." }, { "left": "issue:6593", "right": "issue:8752", "accept": false, - "reason": "Different feature requests/bugs: LoRA loading for SDXL Img2Img versus offline from_single_file loading." + "reason": "LoRA loading request for SDXL Img2Img is unrelated to offline from_single_file loading." }, { "left": "issue:12011", "right": "issue:9732", "accept": false, - "reason": "Both are OOM reports, but they occur in different models and workflows: Wan 2.2 i2v inference versus DreamBooth training on Flux." + "reason": "Both mention OOM, but on different models/tasks and likely different causes." }, { "left": "issue:5365", "right": "issue:6028", "accept": false, - "reason": "Different issue classes: num_inference_steps error in txt2video versus Kandinsky 3.0 CUDA OOM." + "reason": "num_inference_steps validation in txt2video is unrelated to Kandinsky OOM." }, { "left": "issue:8182", "right": "issue:8495", "accept": false, - "reason": "Unrelated: a logger API typo versus an SD3 tokenizer/deserialization error." + "reason": "Logger typo and SD3 tokenizer enum parsing failure are unrelated." }, { "left": "issue:10120", "right": "issue:6362", "accept": false, - "reason": "Both mention memory pressure, but one is DreamBooth+SD3 consumption and the other is SDXL dataset-mapping OOM; different failure points." + "reason": "Both are memory complaints, but one is DreamBooth+SD3 and the other is dataset mapping during SDXL fine-tuning." }, { "left": "issue:1407", "right": "issue:1792", - "accept": false, - "reason": "Related only at a very broad level: both mention missing feature_extractor/safety_checker, but one is an ONNX pipeline regression and the other is an Img2Img initialization issue; not safe to treat as the same bug." + "accept": true, + "reason": "Both describe the same underlying initialization bug: pipelines error when feature_extractor/safety_checker are missing from SD/SD2-style variants." }, { "left": "issue:2299", "right": "issue:3338", "accept": false, - "reason": "General performance/import concern versus a specific fast-stable-diffusion fine-tuned checkpoint topic; not the same underlying problem." + "reason": "Fast-stable-diffusion checkpoint support request vs slow import performance; different issues." }, { "left": "issue:12034", "right": "issue:12529", "accept": false, - "reason": "Both concern Wan 2.2, but one is poor output quality and the other is a tiled VAE tensor-size mismatch; distinct bugs." + "reason": "Both are Wan 2.2 i2v reports, but one is poor quality and the other is a tiled VAE tensor mismatch." }, { "left": "issue:1251", "right": "issue:2907", "accept": false, - "reason": "Different MPS/offload failures: RePaint black output on MPS versus calling enable_model_cpu_offload twice." + "reason": "Black image on MPS in RePaintPipeline vs calling enable_model_cpu_offload twice; not the same bug." }, { "left": "issue:10798", "right": "issue:13107", "accept": false, - "reason": "Different quantization problems: Flux device-combination issues versus LoRA missing-key errors." + "reason": "Flux quantization device-combination bug and Flux Klein LoRA missing-key errors are distinct." }, { "left": "issue:7485", "right": "issue:9448", "accept": false, - "reason": "Both are pipeline errors, but one is setting safety_checker and the other is an IP-Adapter tuple/shape AttributeError; different root causes." + "reason": "Safety checker NoneType callable error vs IP-Adapter tuple shape AttributeError in ControlNet inpaint." }, { "left": "issue:10752", "right": "issue:12110", "accept": false, - "reason": "Both are bug reports, but one is FP16 gradient unscaling and the other is UNet1DModel GaussianFourier initialization; unrelated." + "reason": "FP16 gradient unscale bug and UNet1DModel GaussianFourier init bug are unrelated." }, { "left": "issue:3428", "right": "issue:3908", "accept": false, - "reason": "General user-facing pipeline behavior changes versus Streamlit model caching; not the same bug." + "reason": "Different concerns: unexpected img2img behavior vs caching a model in Streamlit." }, { "left": "issue:10100", "right": "issue:6132", "accept": false, - "reason": "Different requests: adding ConsisID support versus adding LOADABLE_CLASSES support for nn.Module." + "reason": "ConsisID support request is unrelated to adding LOADABLE_CLASSES." }, { "left": "issue:1546", "right": "issue:1556", "accept": false, - "reason": "Batched truncation warning versus black images with CUDA/NSFW warning; different symptoms and likely different causes." - }, - { - "left": "issue:235", - "right": "issue:525", - "accept": false, - "reason": "Generic CUDA porting trouble versus a training notebook image-loading issue; unrelated." - }, - { - "left": "issue:3853", - "right": "issue:5520", - "accept": false, - "reason": "Both mention HeaderTooLarge, but one is LoRA weight loading and the other is header deserialization generally; not enough evidence they are the same concrete bug." + "reason": "Truncation warning causing batched-input errors is not the same as black images with NSFW warning." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The output is conservative and grounded in the packet. The only accepted duplicate pair, issue:1407 \u2194 issue:1792, is well supported by the titles describing the same missing feature_extractor/safety_checker initialization failure. The other soft-edge rejections are appropriately cautious and do not overclaim duplication." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -86696,21 +86608,20 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10526", - "issue:1062", "issue:1068", "issue:1082", "issue:1866", "issue:1925", "issue:2035", - "issue:2132", - "issue:2332", + "issue:235", "issue:2410", "issue:2577", "issue:3103", "issue:3646", + "issue:3853", "issue:3954", "issue:4069", "issue:4530", @@ -86718,14 +86629,15 @@ "issue:4638", "issue:4686", "issue:4692", - "issue:4733", "issue:4747", "issue:4885", "issue:490", "issue:4907", "issue:4911", "issue:5226", + "issue:525", "issue:5335", + "issue:5520", "issue:5572", "issue:5963", "issue:6087", @@ -86748,6 +86660,8 @@ "issue:967" ], "soft_pairs": [ + "issue:235|issue:525", + "issue:3853|issue:5520", "issue:4630|issue:725", "issue:4911|issue:9147", "issue:7080|issue:8930", @@ -86769,182 +86683,180 @@ "issue:6536|issue:6657", "issue:1866|issue:967", "issue:4692|issue:490", - "issue:4638|issue:5226", - "issue:1062|issue:2332", - "issue:2132|issue:4733" + "issue:4638|issue:5226" ], - "prepared_review_unit_hash": "5bc489c9cb1fdc64ae7457d94901efbffaab71ef0ee8f34ce8436d36e3f6c126", + "prepared_review_unit_hash": "61a9c4dd3ce67e744b40c02a232608f29625f8251521fca549c808d59a34a01c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34205, - "estimated_input_tokens": 8552, - "estimated_eval_tokens": 17360 + "serialized_chars": 34093, + "estimated_input_tokens": 8524, + "estimated_eval_tokens": 17304 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These items are mostly unrelated issue reports spanning different features and error classes. None of the soft-similarity pairs look like true duplicates or the same fix/change, so all soft edges should be rejected. There are no PRs in the cluster; issue #10526 is the best representative because it is a concrete, well-scoped bug report with a specific traceback.", - "confidence": 0.96, - "canonical_issue_reason": "#10526 is the most concrete and actionable issue in the set: it names a specific Flux FP8/optimum.quanto failure and includes a precise TypeError, making it a reasonable anchor even though the cluster is not a true duplicate group.", + "summary": "The listed issues are broadly heterogeneous; the proposed soft pairs mostly share generic ML/diffusers wording but not the same underlying bug or fix path. No single issue stands out as a safe canonical duplicate target for the whole set.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: the collection mixes unrelated problems (CUDA/runtime failures, scheduler math, model loading/serialization, LoRA/Textual Inversion, ControlNet, Flux, SDXL, and architecture bugs), so collapsing them into one duplicate target would be unsafe.", "canonical_pr_reason": null, - "best_issue_reason": "#10526 is the strongest issue to keep as the cluster representative because it has a clear error signature, specific affected path, and a focused reproduction target.", + "best_issue_reason": "No global best issue: none of the candidates cleanly represents the rest of the set, and the closest-looking items still point to distinct code paths and failure modes.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:235", + "right": "issue:525", + "accept": false, + "reason": "Both mention training/CUDA-adjacent problems, but one is a standalone CUDA porting issue and the other is a local image loading notebook problem; different bug and fix path." + }, + { + "left": "issue:3853", + "right": "issue:5520", + "accept": false, + "reason": "Both are about weight/header deserialization, but the concrete failures differ: LoRA weight loading vs generic HeaderTooLarge serialization error." + }, { "left": "issue:4630", "right": "issue:725", "accept": false, - "reason": "Both mention model weight handling, but one is about modifying LoRA weights after load and the other is about device maps/memory loading; different bugs and fixes." + "reason": "One asks to modify LoRA weights after loading; the other is about pipeline device mapping / accelerate memory reduction. Related area, but not the same bug." }, { "left": "issue:4911", "right": "issue:9147", "accept": false, - "reason": "Both involve Flux/custom loading, but one is about loading a custom text encoder in from_single_file and the other is an autopipeline Flux error; not the same code-path failure." + "reason": "Both involve Flux/autopipeline loading errors, but one is a custom text_encoder loading failure and the other is a general Flux autopipeline error; not clearly the same code-path issue." }, { "left": "issue:7080", "right": "issue:8930", "accept": false, - "reason": "SDXL ControlNet training inference drift vs img2img pose adherence are different behaviors and likely different bugs." + "reason": "Both concern SDXL ControlNet behavior, but one is a training/inference output mismatch while the other is pose-image conditioning not being respected; different symptoms and likely different causes." }, { "left": "issue:3954", "right": "issue:6087", "accept": false, - "reason": "Training step count for multi-GPU schedulers and saving/loading LoRA config are unrelated issues." + "reason": "One is a wrong step-count bug in multi-GPU scheduler training, the other is incorrect LoRA alpha persistence on save/load; same broad training area, not same defect." }, { "left": "issue:4686", "right": "issue:5335", "accept": false, - "reason": "Loading a saved pipeline versus general local deployment/network access are not the same defect." + "reason": "One is about loading a locally saved pipeline, the other about deploying behind a network block; these are unrelated operational/loading issues." }, { "left": "issue:4885", "right": "issue:8831", "accept": false, - "reason": "Both concern LoRA in SDXL-adjacent pipelines, but one is a pipeline-specific loading failure and the other is unsupported LoRA layers; too broad to merge as one fix." + "reason": "Both touch LoRA support, but one is an SDXL ControlNet pipeline load issue and the other is unsupported LoRA layers continuation; not the same underlying change." }, { "left": "issue:10526", "right": "issue:9293", "accept": false, - "reason": "Both are FP8/float8-related errors, but they point to different storage/tensor construction failures and different library paths." + "reason": "Both are low-level tensor/storage errors, but one is an optimum.quanto WeightQBytesTensor constructor failure and the other is a missing Float8 storage type; different stack and bug." }, { "left": "issue:1925", "right": "issue:2577", "accept": false, - "reason": "Half precision inpainting and DDIMInverseScheduler failures are unrelated scheduler/model-mode issues." + "reason": "One is half-precision inpainting failure, the other is DDIMInverseScheduler behavior; both are diffusion issues but not the same bug." }, { "left": "issue:7708", "right": "issue:9063", "accept": false, - "reason": "Both are Flux/model-loading errors, but one is a missing tokenizer config and the other is a tokenizer instantiation/version mismatch; different root causes." + "reason": "Both involve Flux/SDXL-style model loading, but one is a missing tokenizer/config file and the other is a tokenizer instantiation compatibility error; distinct failures." }, { "left": "issue:6232", "right": "issue:7506", "accept": false, - "reason": "Scheduler add_noise edge cases and CLIP text model meta-tensor loading failures are distinct bugs." + "reason": "Both mention scheduler/model loading problems, but one is a DPMSolver add_noise edge case and the other is a meta-tensor copy/model init mismatch; unrelated code paths." }, { "left": "issue:1068", "right": "issue:1082", "accept": false, - "reason": "Both are Dreambooth failures, but one is an elastic multiprocessing launch error and the other is a CUDA cublasLtMatmul execution failure." + "reason": "Both are runtime failures, but one is a distributed launch/elastic error and the other is a CUDA cublasLtMatmul failure in Dreambooth; not the same defect." }, { "left": "issue:3646", "right": "issue:4747", "accept": false, - "reason": "ControlNetModel.from_unet missing versus SDXL LoRA load missing model_index.json are different loading-path problems." + "reason": "Both are model/API loading issues, but one is ControlNetModel.from_unet missing and the other is missing model_index.json after loading a fine-tuned SDXL LoRA; different targets." }, { "left": "issue:2035", "right": "issue:4530", "accept": false, - "reason": "Tiled upscaling artifacts and SDXL refiner color artifacts are both visual quality complaints but not the same underlying bug." + "reason": "Both mention visual artifacts, but one is tiled upscaling launch/tiling behavior and the other is SDXL refiner color artifacts; too different to merge." }, { "left": "issue:2410", "right": "issue:5572", "accept": false, - "reason": "Flax model export missing files and FrozenDict missing scaling_factor are unrelated save/load and config-access problems." + "reason": "One is a Flax training script output-file issue, the other is a FrozenDict missing scaling_factor attribute in a pipeline; unrelated." }, { "left": "issue:3103", "right": "issue:4907", "accept": false, - "reason": "Inpainting height/width handling and SDXL inpainting warning are not the same defect." + "reason": "Both relate to inpainting, but one is height/width handling and the other is an SDXL inpainting model warning; not the same concrete bug." }, { "left": "issue:4069", "right": "issue:7694", "accept": false, - "reason": "Textual inversion unloading and ControlNetXS checkpoint key updates concern different components and different changes." + "reason": "One is about unloading textual inversion checkpoints from a pipeline; the other is checkpoint key updates for ControlNetXS. Same ecosystem, different changes." }, { "left": "issue:5963", "right": "issue:6807", "accept": false, - "reason": "Kandinsky embed-input handling and MPS test collection failures are unrelated." + "reason": "One is Kandinsky embeddings vs prompts behavior, the other is MPS test collection failure; no shared bug or fix." }, { "left": "issue:6234", "right": "issue:8708", "accept": false, - "reason": "A training example issue for SDXL and a missing vae.config.shift_factor in SD3 dreambooth examples are different model/example problems." + "reason": "One is an example script issue for SDXL training, the other is a missing VAE shift_factor in SD3 dreambooth examples; different model family and issue." }, { "left": "issue:6536", "right": "issue:6657", "accept": false, - "reason": "UNet3D fine-tuning OOM and swapped frames/channels in UNet3DConditionModel are distinct 3D-model issues." + "reason": "One is UNet3DConditionModel fine-tuning OOM, the other is frames/channels being swapped in UNet3DConditionModel; memory vs tensor-shape bug." }, { "left": "issue:1866", "right": "issue:967", "accept": false, - "reason": "Both involve schedulers, but one is a DPMSolverSinglestep img2img strength bug and the other is an ONNX pipeline unsupported-operand error." + "reason": "Both are scheduler incompatibilities, but one is img2img strength handling in DPMSolverSinglestepScheduler and the other is OnnxStableDiffusionPipeline unsupported operand errors; not the same fix." }, { "left": "issue:4692", "right": "issue:490", "accept": false, - "reason": "General UNet2DConditionModel memory concerns and broad diffusion memory issues are too vague and not the same concrete bug." + "reason": "Both concern memory, but one is a UNet2DConditionModel memory issue and the other is a broad pipeline memory comparison; too generic to treat as duplicate." }, { "left": "issue:4638", "right": "issue:5226", "accept": false, - "reason": "SDXL textual inversion loading and SDXL adapter LoRA loading are different loading paths and fixes." - }, - { - "left": "issue:1062", - "right": "issue:2332", - "accept": false, - "reason": "Dreambooth reproduction failure and post-training inference error are separate user reports with different failure stages." - }, - { - "left": "issue:2132", - "right": "issue:4733", - "accept": false, - "reason": "Missing Accelerator.trackers in a script and resume-from-checkpoint optimizer inf-check failure are unrelated training script issues." + "reason": "Both are about loading LoRA/textual inversion on SDXL pipelines, but one is textual inversion loading and the other is adapter pipeline LoRA support; different pipeline paths." } ] }, @@ -86966,27 +86878,27 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10003", "issue:10010", "issue:10194", "issue:10392", "issue:10450", + "issue:1062", "issue:10782", - "issue:11093", "issue:11117", "issue:11570", "issue:11830", - "issue:12034", "issue:12082", - "issue:12175", "issue:12783", "issue:1298", "issue:13137", "issue:1478", "issue:1790", + "issue:2132", "issue:2276", + "issue:2332", "issue:2410", "issue:2728", "issue:2783", @@ -86996,6 +86908,7 @@ "issue:3171", "issue:3451", "issue:4709", + "issue:4733", "issue:5315", "issue:5605", "issue:5931", @@ -87007,7 +86920,6 @@ "issue:761", "issue:7895", "issue:8440", - "issue:8469", "issue:8578", "issue:9393", "issue:9670", @@ -87018,6 +86930,8 @@ "issue:9953" ], "soft_pairs": [ + "issue:1062|issue:2332", + "issue:2132|issue:4733", "issue:5315|issue:6232", "issue:6790|issue:6906", "issue:11117|issue:7415", @@ -87039,192 +86953,187 @@ "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:10392|issue:9670" ], - "prepared_review_unit_hash": "300c2b9d507528edfcf4fe106c6b457ca5c2bbf82fb7753b9b61c575515b649b", + "prepared_review_unit_hash": "913085fb97cc5e8bb47aeb7c2eb95d8fbda379ceafff007b044ceb2152db1c86", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33551, - "estimated_input_tokens": 8388, - "estimated_eval_tokens": 17032 + "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 items are mostly unrelated bugs across different models/pipelines. Only one pair looks like a true duplicate: the StableDiffusion nondeterminism reports. The other soft pairs are same-subsystem or same-error-class similarities, but not clearly the same underlying bug.", - "confidence": 0.9, - "canonical_issue_reason": "Issue 5931 is the cleanest representative of the only strong duplicate pair because it directly captures the StableDiffusionPipeline determinism regression seen in 3149.", + "summary": "No soft pair looks like a safe duplicate merge candidate; the set is a heterogeneous mix of unrelated scheduler, Flux, DreamBooth, quantization, docs, and feature-request issues. No PRs are present.", + "confidence": 0.94, + "canonical_issue_reason": "No single issue is a safe canonical here: the items span unrelated bugs and feature requests across different pipelines, model families, and tooling.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 5931 is the most actionable and specific issue in the set, and it best anchors the clear determinism subcluster.", + "best_issue_reason": "No issue is a strong global representative for duplication triage because the cluster does not center on one underlying defect or change.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1062", + "right": "issue:2332", + "accept": false, + "reason": "Both mention DreamBooth, but one is about training repeatability and the other about inference after training; different failure modes and code paths." + }, + { + "left": "issue:2132", + "right": "issue:4733", + "accept": false, + "reason": "Both are DreamBooth training issues, but 'Accelerator.trackers' missing and checkpoint resume optimizer checks are unrelated bugs." + }, { "left": "issue:5315", "right": "issue:6232", "accept": false, - "reason": "Both are scheduler bugs, but they affect different schedulers and different methods; not the same underlying defect." + "reason": "Both are scheduler bugs, but they target different schedulers and different methods (DDIMInverseScheduler.step vs DPMSolverSinglestepScheduler.add_noise)." }, { "left": "issue:6790", "right": "issue:6906", "accept": false, - "reason": "Both mention training/example breakage, but the failures are unrelated state-dict mismatch vs DreamBooth LoRA setup." + "reason": "LCM state_dict key mismatch and a broken LoRA DreamBooth example are different training problems, not one underlying defect." }, { "left": "issue:11117", "right": "issue:7415", "accept": false, - "reason": "Both are dtype-related, but one is SD3 pipeline runtime mismatch and the other is AutoencoderKL bfloat16 TPU behavior; different bugs." + "reason": "Both are dtype-related, but they affect different pipelines/devices and have different mismatch scenarios (SD3 Half/BFloat16 vs AutoencoderKL bfloat16 on TPU)." }, { "left": "issue:2410", "right": "issue:3451", "accept": false, - "reason": "One is missing model artifacts in a Flax training script, the other is fp16 memory use; unrelated." + "reason": "Missing model output files in a Flax training script is unrelated to fp16 memory usage in another training script." }, { "left": "issue:11570", "right": "issue:9953", "accept": false, - "reason": "Both involve quantized components and .to(), but they describe different code paths and error surfaces; not enough evidence of the same bug." + "reason": "Both involve quantized components, but one breaks LoRA weight loading on bitsandbytes text encoders while the other breaks moving a quantized pipeline to CUDA." }, { "left": "issue:2728", "right": "issue:2803", "accept": false, - "reason": "Safetensors loading and local docs build failures are unrelated." + "reason": "A safetensors loading issue and a local docs build failure are clearly unrelated." }, { "left": "issue:10003", "right": "issue:8578", "accept": false, - "reason": "Scheduler failure at 1000 steps is unrelated to a meta-tensor copy error in sd_turbo." + "reason": "A scheduler bug at 1000 inference steps and a meta-tensor copy error during loading are different bugs with different triggers." }, { "left": "issue:10010", "right": "issue:9756", "accept": false, - "reason": "A missing FLUX model file is unrelated to a missing notebook file." + "reason": "A missing model_index.json for FLUX Fill and a missing notebook file are unrelated path/resource issues." }, { "left": "issue:10450", "right": "issue:7895", "accept": false, - "reason": "Different Flux internals: transformer block mismatch vs Flax memory-efficient attention." + "reason": "Different Flux/Flax blocks and a broken memory-efficient attention path are not the same concrete problem." }, { "left": "issue:10782", "right": "issue:13137", "accept": false, - "reason": "A minor Lumina issue and a Flux 2 LoRA loading error are different models and bugs." + "reason": "These concern different models and different adapter/LoRA behaviors, so they are not duplicates." }, { "left": "issue:1298", "right": "issue:1478", "accept": false, - "reason": "Different pipelines and symptoms; one is img2img regression, the other is multi-image output handling." + "reason": "One is a regression in Stable Diffusion img2img; the other is an output-count limitation in the upscale pipeline." }, { "left": "issue:1790", "right": "issue:761", "accept": false, - "reason": "General training question vs DreamBooth 8-bit Adam failure; not duplicates." + "reason": "A generic training question is not the same as a DreamBooth 8-bit optimizer failure." }, { "left": "issue:2783", "right": "issue:3171", "accept": false, - "reason": "Feature request for img2img/inpainting ControlNet vs LPW prompt support; different asks." + "reason": "Both are ControlNet feature requests, but they ask for different features and do not describe the same change." }, { "left": "issue:3086", "right": "issue:5605", "accept": false, - "reason": "Audio-to-image request and SDXL DreamBooth caption support are unrelated features." + "reason": "Input-audio/output-image and per-image caption support are unrelated feature requests." }, { "left": "issue:3149", "right": "issue:5931", - "accept": true, - "reason": "Both report nondeterministic StableDiffusion generation; they describe the same reproducibility bug." + "accept": false, + "reason": "Both mention nondeterminism, but they are broad symptom reports in different contexts and versions; not clearly the same underlying bug." }, { "left": "issue:6727", "right": "issue:8440", "accept": false, - "reason": "Different ValueErrors with different mixins and dtype conditions; not the same failure." + "reason": "These are different ValueError contexts in different APIs; the titles do not indicate one shared bug." }, { "left": "issue:12082", "right": "issue:9763", "accept": false, - "reason": "VAE memory growth after compile is unrelated to token truncation in Flux ControlNet training." + "reason": "GPU memory growth after compile and token truncation in Flux ControlNet training are unrelated issues." }, { "left": "issue:2276", "right": "issue:4709", "accept": false, - "reason": "xformers installation problems and ControlNet guess mode support are unrelated." + "reason": "A xformers installation problem in a Colab notebook is unrelated to ControlNet guess mode support." }, { "left": "issue:11830", "right": "issue:12783", "accept": false, - "reason": "Both are bad-output reports, but one is black frames on float16 and the other is noisy/confetti output on sm90 Sage Attention; different bugs." + "reason": "Both are visual-output problems, but black output in framepack fp16 and confetti/noisy output on sm90 are different symptoms with different likely causes." }, { "left": "issue:9393", "right": "issue:9858", "accept": false, - "reason": "Model saving with deepspeed/LoRA and a KeyError:'train' are different problems." + "reason": "Saving a Flux DreamBooth LoRA with DeepSpeed and a KeyError: 'train' are not the same bug." }, { "left": "issue:10194", "right": "issue:9926", "accept": false, - "reason": "Flux attention masking support and gguf quantize/speedup support are different feature requests." + "reason": "Flux attention masking support and gguf quantize/speed-up support are different feature requests." }, { "left": "issue:10392", "right": "issue:9670", "accept": false, - "reason": "LoRA loading error in Flux is not the same as a missing PEFT backend dependency error." - }, - { - "left": "issue:11093", - "right": "issue:8469", - "accept": false, - "reason": "TorchAO example breakage and corrupt IP-Adapter faces are unrelated." - }, - { - "left": "issue:12034", - "right": "issue:12175", - "accept": false, - "reason": "Both complain about image quality, but they target different models and likely different root causes." + "reason": "A Flux fp8/LoRA compatibility issue and a PEFT-backend requirement for loading LoRA are distinct adapter-loading problems." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The evaluation is grounded in the packet and the soft-edge rejections stay conservative. The 3149/5931 duplicate call is well supported by the titles, and the summary does not overclaim the other pairs." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -87239,13 +87148,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10277", "issue:10673", + "issue:11093", "issue:11581", "issue:11874", + "issue:12034", "issue:12108", + "issue:12175", "issue:13203", "issue:2371", "issue:2614", @@ -87257,7 +87169,6 @@ "issue:3570", "issue:3631", "issue:4057", - "issue:4213", "issue:4337", "issue:4398", "issue:4554", @@ -87269,16 +87180,14 @@ "issue:5593", "issue:6125", "issue:6313", - "issue:6476", "issue:6667", "issue:6700", - "issue:6742", "issue:7168", - "issue:7178", "issue:7348", "issue:7378", "issue:7417", "issue:7661", + "issue:8469", "issue:8831", "issue:9223", "issue:9298", @@ -87290,6 +87199,8 @@ "issue:9933" ], "soft_pairs": [ + "issue:11093|issue:8469", + "issue:12034|issue:12175", "issue:2614|issue:3570", "issue:2776|issue:9223", "issue:3073|issue:3087", @@ -87311,182 +87222,180 @@ "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:11581|issue:9298" ], - "prepared_review_unit_hash": "e730d6f73c07fa4ad0f433db162a1d5fa8a9b2d387d0625ad6c7f6a5c63e6f5f", + "prepared_review_unit_hash": "aec09ecac663944e4ba13573a8937db2b49beee94d76805425b6be451115debe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33383, - "estimated_input_tokens": 8346, - "estimated_eval_tokens": 16948 + "serialized_chars": 33366, + "estimated_input_tokens": 8342, + "estimated_eval_tokens": 16940 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the paired issues span unrelated features, models, pipelines, and error modes. None of the soft-edge pairs look like the same underlying bug or change, so there is no credible canonical duplicate across the set.", + "summary": "This looks like a false-positive semantic cluster: the items span unrelated model, pipeline, training, and dependency issues. None of the soft pairs describe the same concrete bug or change, so I would not merge any of them as duplicates.", "confidence": 0.97, - "canonical_issue_reason": null, + "canonical_issue_reason": "No single canonical issue stands out; the set is heterogeneous and the soft-paired items are not the same underlying bug. If forced, 12108 is only the closest thematic match because it is one of the few scheduler/flow-matching reports, but it still does not represent the whole set.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "There is no good global best issue for dedupe here because the cluster is not a true duplicate group. The issues are too diverse in model, subsystem, and failure mode to use one as the representative canonical.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11093", + "right": "issue:8469", + "accept": false, + "reason": "Different problems: TorchAO example breakage vs IP-Adapter face corruption." + }, + { + "left": "issue:12034", + "right": "issue:12175", + "accept": false, + "reason": "Both mention quality, but they are different models and likely different root causes." + }, { "left": "issue:2614", "right": "issue:3570", "accept": false, - "reason": "Both touch loading/configuration, but one is about changing the pretrained-model download directory and the other about disabling downloads when loading ckpt; different user actions and fixes." + "reason": "Download-directory configuration vs disabling downloads when loading ckpt are separate behaviors." }, { "left": "issue:2776", "right": "issue:9223", "accept": false, - "reason": "One is a training-script/DeepSpeed runtime issue, the other is a dependency version conflict around pyarrow; not the same bug path." + "reason": "DeepSpeed/runtime setup issue vs Python dependency conflict; unrelated." }, { "left": "issue:3073", "right": "issue:3087", "accept": false, - "reason": "Feature requests for different model families: consistency models vs LyCORIS support. No shared underlying defect." + "reason": "Feature request for consistency models vs LoRA/LyCORIS support request." }, { "left": "issue:3631", "right": "issue:4782", "accept": false, - "reason": "Both involve inpainting, but one is a latent-argument exception and the other is mask corruption/region modification; different failure modes." + "reason": "Inpainting latents exception is not the same as mask leakage during inpainting." }, { "left": "issue:3631", "right": "issue:7378", "accept": false, - "reason": "Inpainting latent exception vs AnimateDiff video latent decoding memory usage; unrelated pipelines and symptoms." + "reason": "Inpainting exception vs AnimateDiff video-to-video memory usage; different code paths." }, { "left": "issue:4337", "right": "issue:4554", "accept": false, - "reason": "torch.compile with ControlNetReference is a compile/runtime compatibility issue; Kandinsky 2.2 example OOM is a memory problem in a different example." + "reason": "torch.compile ControlNetReference failure is distinct from Kandinsky OOM." }, { "left": "issue:4398", "right": "issue:8831", "accept": false, - "reason": "Both mention LoRA, but one is black outputs in SDXL LoRA-dreambooth and the other is unsupported layers in a separate continuation; not the same concrete bug." + "reason": "SDXL LORA dreambooth black images and unsupported-layers continuation are not the same bug." }, { "left": "issue:7168", "right": "issue:7661", "accept": false, - "reason": "Both concern IP-Adapter integration, but one is about incorrect image embeddings shape and the other about constructing AnimateDiff with an IP-adapter-loaded UNet; different code paths." + "reason": "IP-Adapter embedding shape issue vs request to support IP-Adapter in AnimateDiff." }, { "left": "issue:9534", "right": "issue:9665", "accept": false, - "reason": "FluxMultiControlNetModel missing config attribute vs DeepSpeed affecting accelerator.prepare(); unrelated subsystems and errors." + "reason": "Missing config attribute in FluxMultiControlNetModel is unrelated to accelerator.prepare being affected by DeepSpeed config." }, { "left": "issue:3019", "right": "issue:6313", "accept": false, - "reason": "A request for SAM-based editing vs implementing Null-Text Inversion pipeline; different feature additions, not duplicates." + "reason": "A model request and a pipeline implementation request are different changes." }, { "left": "issue:10673", "right": "issue:9704", "accept": false, - "reason": "AuraFlow shape mismatch in a specific pipeline vs a generic cuDNN frontend execution-plan failure; different root causes." + "reason": "Shape mismatch in AuraFlow pipeline vs cuDNN frontend execution-plan error; different failure modes." }, { "left": "issue:6667", "right": "issue:9674", "accept": false, - "reason": "An open controlnet-xs-inpaint request vs bad training results for SD3 ControlNet; separate models and problem types." + "reason": "controlnet-xs-inpaint request is not the same as poor SD3 controlnet training results." }, { "left": "issue:2371", "right": "issue:4057", "accept": false, - "reason": "Dreambooth training objects missing in output vs blurred finetuned inpainting results; distinct symptoms and likely fixes." + "reason": "Dreambooth output omission vs blurred finetuned inpainting output are distinct issues." }, { "left": "issue:5593", "right": "issue:9660", "accept": false, - "reason": "AutoPipeline.from_pipe failing on ControlNet pipelines vs from_pretrained not setting eval mode; different API behaviors." + "reason": "AutoPipeline.from_pipe with ControlNet vs from_pretrained not setting eval mode are separate bugs." }, { "left": "issue:6125", "right": "issue:9933", "accept": false, - "reason": "UnetMotionModel parameter handling vs missing width/height on StableDiffusion3Img2ImgPipeline; unrelated model APIs." + "reason": "UnetMotionModel parameter handling is unrelated to missing width/height in SD3 img2img." }, { "left": "issue:10277", "right": "issue:12108", "accept": false, - "reason": "Using Euler scheduler in FluxFill vs Qwen Image/Chroma breaking with flow-matching schedulers; similar theme but different pipelines and failure modes." + "reason": "Both mention schedulers/flow matching, but they target different pipelines and concrete failure contexts." }, { "left": "issue:11874", "right": "issue:13203", "accept": false, - "reason": "LoRA exclude_modules matching issue vs Zimage LoRA support request; not the same bug or feature." + "reason": "LoRA exclude_modules behavior is a different support issue than Zimage LoRA support." }, { "left": "issue:5178", "right": "issue:7417", "accept": false, - "reason": "DPM SDE resolution-change failure vs a Mac-only test failure for LoRA fuse nan; different triggers and code paths." + "reason": "DPM SDE resolution-change bug is unrelated to the Mac lora_fuse_nan test failure." }, { "left": "issue:2772", "right": "issue:4874", "accept": false, - "reason": "train_controlnet.py rejecting local datasets vs StableDiffusionUpscalePipeline low_res_scheduler bug from local loading; different scripts and errors." + "reason": "Local dataset validation in train_controlnet.py is not the same as low_res_scheduler behavior in upscale pipeline." }, { "left": "issue:4668", "right": "issue:7348", "accept": false, - "reason": "Weird images from Kohya-style LoRA on SD1.5 vs weird results using EulerAncestralDiscreteScheduler in ControlNetInpaint; similar wording only, but distinct model/pipeline combinations." + "reason": "Weird images from Kohya-style LoRA vs weird results with EulerAncestralControlNetInpaint are not the same concrete bug." }, { "left": "issue:4649", "right": "issue:6700", "accept": false, - "reason": "NoneType added_cond_kwargs text_embeds error vs attention processors receiving unwanted temb; both TypeErrors but in different components and call signatures." + "reason": "Both are TypeErrors in model internals, but they arise from different parameters and code paths." }, { "left": "issue:11581", "right": "issue:9298", "accept": false, - "reason": "IP Adapter loading error with unexpected dtype kwarg vs missing Float8_e4m3fnStorage; unrelated model/library compatibility failures." - }, - { - "left": "issue:6476", - "right": "issue:7178", - "accept": false, - "reason": "Both mention export_to_video, but one is an OpenCV-version crash and the other is a general malfunction report; insufficient evidence of the same root cause." - }, - { - "left": "issue:4213", - "right": "issue:6742", - "accept": false, - "reason": "SD-XL from_single_file() needing accelerate vs DownBlockMotion checkpointing behavior differences; separate issues with different subsystems." + "reason": "IP-Adapter dtype kwarg error is unrelated to missing Float8 storage type." } ] }, @@ -87508,7 +87417,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10550", "issue:10640", @@ -87531,6 +87440,7 @@ "issue:3824", "issue:3910", "issue:4075", + "issue:4213", "issue:4222", "issue:4453", "issue:4483", @@ -87547,19 +87457,20 @@ "issue:5645", "issue:5769", "issue:5786", - "issue:5845", "issue:6164", "issue:6274", - "issue:6681", - "issue:6869", - "issue:6906", + "issue:6476", + "issue:6742", "issue:7021", + "issue:7178", "issue:7813", "issue:8393", "issue:8930", "issue:9046" ], "soft_pairs": [ + "issue:6476|issue:7178", + "issue:4213|issue:6742", "issue:5109|issue:8930", "issue:181|issue:3382", "issue:3643|issue:6164", @@ -87581,192 +87492,187 @@ "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:5645|issue:6274" ], - "prepared_review_unit_hash": "fd436fabf143895f14e2215bc429ad19baada6a8285e7c44495a660968ba5529", + "prepared_review_unit_hash": "1a2aa09a712c355ef9219e55d96caf26a4ed2836f8c5f4cf4b01ea5490c7f0db", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33716, - "estimated_input_tokens": 8429, - "estimated_eval_tokens": 17114 + "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": "Mostly unrelated issue reports with one clear duplicate-like pair around `export_to_video`; no PRs are present.", - "confidence": 0.84, - "canonical_issue_reason": "issue:6869 is the most specific report in the `export_to_video` pair, with the concrete traceback and failure mode spelled out.", + "summary": "This set is a loose collection of unrelated issues; the soft-matched pairs only share vague topic similarity and do not describe the same underlying bug or change. All soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:10550 is the strongest standalone report overall: detailed body, high discussion activity, and a clearly defined LoRA/quantization bug.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6476", + "right": "issue:7178", + "accept": false, + "reason": "Both mention export_to_video, but one is an OpenCV-version crash and the other is a general malfunction report; no evidence they are the same failure mode." + }, + { + "left": "issue:4213", + "right": "issue:6742", + "accept": false, + "reason": "SDXL single-file loading without accelerate is unrelated to DownBlockMotion checkpointing behavior; different code paths and symptoms." + }, { "left": "issue:5109", "right": "issue:8930", "accept": false, - "reason": "Both involve ControlNet/SDXL, but one is a LoRA-loading exception and the other is a pose-conditioning fidelity issue; different bugs." + "reason": "One is a LoRA-loading exception in a specific ControlNet img2img pipeline, the other is poor pose adherence in another pipeline; not the same bug." }, { "left": "issue:181", "right": "issue:3382", "accept": false, - "reason": "Both touch training, but one is about image writing and the other is a multi-GPU OOM; not the same problem." + "reason": "Both concern training, but one is image writing failure and the other is multi-GPU OOM; different problems and fixes." }, { "left": "issue:3643", "right": "issue:6164", "accept": false, - "reason": "One is an INT_MAX upsampling crash while decoding latents; the other is incorrect handling of `output_type=\"latent\"`. Different code paths." + "reason": "INT_MAX overflow during latent decoding is a low-level runtime error, while latent output handling is a pipeline API/behavior issue; unrelated." }, { "left": "issue:10550", "right": "issue:11408", "accept": false, - "reason": "LoRA loading into a quantized base model is unrelated to `set_adapters` support for compiled models." + "reason": "LoRA into a quantized base model and set_adapters on compiled models are separate adapter/quantization concerns with different failure points." }, { "left": "issue:10640", "right": "issue:7021", "accept": false, - "reason": "DataParallel FluxInpaintPipeline multi-GPU failure and `HF_HOME` import error are unrelated." + "reason": "DataParallel error in FluxInpaintPipeline is unrelated to HF_HOME import errors." }, { "left": "issue:10658", "right": "issue:12470", "accept": false, - "reason": "`provider_options` in ONNXRuntime and new quantizer API methods are different feature requests." + "reason": "ONNX Runtime provider_options request and DiffusersQuantizer API additions are different feature requests with no shared code-path bug." }, { "left": "issue:11321", "right": "issue:9046", "accept": false, - "reason": "A README bug for flux controlnet training is not the same as a question about Flux VAE latent channels." + "reason": "A README bug for Flux controlnet training is documentation-only; Flux VAE latent_channels is a model-architecture question." }, { "left": "issue:1255", "right": "issue:4585", "accept": false, - "reason": "Missing scheduler import and SDXL MultiControlNet documentation inconsistency are unrelated." + "reason": "Importing DPMSolverMultistepScheduler and SDXL MultiControlNet documentation are unrelated." }, { "left": "issue:1290", "right": "issue:307", "accept": false, - "reason": "A community project post and a request to merge Stable Diffusion pipelines are not the same issue." + "reason": "Community DreamArtist project post is not the same as a request to merge Stable Diffusion pipelines into one." }, { "left": "issue:1685", "right": "issue:3251", "accept": false, - "reason": "Telemetry opt-out and ControlNet Shuffle CFG-side behavior are different bugs/features." + "reason": "Telemetry opt-out and ControlNet Shuffle guidance are unrelated issues." }, { "left": "issue:3062", "right": "issue:4075", "accept": false, - "reason": "Both are docstring questions, but for different classes and unrelated API surfaces." + "reason": "Different docstring questions for different classes; no same underlying bug or change." }, { "left": "issue:3085", "right": "issue:4483", "accept": false, - "reason": "A removed cache-folder argument and SDXL generator nondeterminism are different issues." + "reason": "Removed cache-folder argument and SDXL generator nondeterminism are separate API/behavior issues." }, { "left": "issue:3645", "right": "issue:4705", "accept": false, - "reason": "Both relate to ControlNet/inpainting training, but one is a usage/training question and the other is about modifying a script; no clear same bug." + "reason": "Training/finetuning questions for inpainting pipelines are not the same problem as modifying train_controlnet.py for inpainting." }, { "left": "issue:3674", "right": "issue:4756", "accept": false, - "reason": "Metadata parsing in `train_text_to_image_lora.py` and DreamBooth SDXL style support are different training problems." + "reason": "metadata.jsonl parsing in LoRA training and a request for style-training support are different training-data concerns." }, { "left": "issue:3824", "right": "issue:7813", "accept": false, - "reason": "Inpaint pipeline comparison and tensor timesteps confusion are unrelated." + "reason": "Question about inpaint pipeline variants and a TODO about passing timesteps are unrelated." }, { "left": "issue:3910", "right": "issue:5328", "accept": false, - "reason": "Both mention LoRA loading failures, but the reports describe different scopes and failure modes; not enough evidence of the same bug." + "reason": "Certain LoRA weights failing to load and Civital LoRAs all failing likely refer to different loader/asset issues without concrete overlap." }, { "left": "issue:4222", "right": "issue:5786", "accept": false, - "reason": "Low-resolution dataset training guidance and loading a precomputed cache on another machine are different concerns." + "reason": "Low-resolution dataset training guidance and loading a precomputed cache on another machine are different usage questions." }, { "left": "issue:4453", "right": "issue:5209", "accept": false, - "reason": "LoRA conversion for AUTO1111 and black validation images in a ControlNet/T2IAdapter script are unrelated." + "reason": "Converting SDXL LoRA to safetensors for A1111 and black validation images in a script are unrelated." }, { "left": "issue:4578", "right": "issue:5405", "accept": false, - "reason": "Docs saying VAE is unused and `from_single_file` not overwriting weights are different issues." + "reason": "Documentation claim about VAE usage and from_single_file not overwriting weights are distinct problems." }, { "left": "issue:4676", "right": "issue:8393", "accept": false, - "reason": "Dark TAESD latents and slow checkpoint shard loading are unrelated problems." + "reason": "TAESD latent brightness and checkpoint-shard loading time are unrelated performance/quality topics." }, { "left": "issue:5578", "right": "issue:5769", "accept": false, - "reason": "Missing `model_index.json` and questions about mixed precision training are unrelated." + "reason": "Missing model_index.json and mixed-precision training correctness are unrelated." }, { "left": "issue:5645", "right": "issue:6274", "accept": false, - "reason": "LCM support being broken and multi-adapter T2I-Adapter failures are different code paths." - }, - { - "left": "issue:5845", - "right": "issue:6906", - "accept": false, - "reason": "Both are training-example failures, but they concern different models and examples, not the same bug." - }, - { - "left": "issue:6681", - "right": "issue:6869", - "accept": true, - "reason": "Both target `export_to_video`; 6869 is the specific `ValueError` manifestation of the same underlying export bug described more generally in 6681." + "reason": "LCM support broken and multi-adapter T2I-Adapter behavior are different features with different failure surfaces." } ] }, - "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet: issue:10550 is well supported as a high-activity, detailed standalone report, and issue:6869 is a reasonable canonical choice for the export_to_video pair. The soft-edge verdicts are consistently conservative and avoid overstating duplicate evidence beyond the clear 6681/6869 match. No PR pair claims are made, which fits the packet." - }, - "evaluator_used": true, + "evaluator_result": null, + "evaluator_used": false, "retried": false, - "accepted_nontrivial_soft_edge": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -87781,12 +87687,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10209", "issue:10798", - "issue:12613", - "issue:13311", "issue:1614", "issue:1672", "issue:2201", @@ -87806,9 +87709,13 @@ "issue:5523", "issue:5678", "issue:5791", + "issue:5845", "issue:5849", "issue:5969", "issue:6110", + "issue:6681", + "issue:6869", + "issue:6906", "issue:6967", "issue:7000", "issue:7102", @@ -87827,12 +87734,13 @@ "issue:9161", "issue:9366", "issue:9415", - "issue:9467", "issue:9476", "issue:9477", "issue:9856" ], "soft_pairs": [ + "issue:5845|issue:6906", + "issue:6681|issue:6869", "issue:7333|issue:7955", "issue:8671|issue:8918", "issue:8943|issue:9477", @@ -87854,189 +87762,190 @@ "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:10798|issue:9366" ], - "prepared_review_unit_hash": "21249c0159d8290143043a51b5906fdf4e68a38f11da44fe7eddef276e26a19d", + "prepared_review_unit_hash": "048347806f56ba71778fbc64410a3f5b1b1aea2f649a4caca55ea3549cd56ba3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34492, - "estimated_input_tokens": 8623, - "estimated_eval_tokens": 17502 + "serialized_chars": 34415, + "estimated_input_tokens": 8604, + "estimated_eval_tokens": 17464 }, "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 topical lookalikes across different models, pipelines, or error classes rather than true duplicates. I would not merge any of the proposed soft edges, and there is no single canonical issue for the whole set.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue fits this set: the items span unrelated bugs and feature requests across many pipelines, models, and failure modes.", + "summary": "This cluster is mostly a grab-bag of unrelated issues that only share broad diffusers/Stable Diffusion themes. I only see one plausible duplicate edge around export_to_video; the rest are different bugs, features, or scripts and should stay separate.", + "confidence": 0.58, + "canonical_issue_reason": "issue:6869 is the most concrete report in the only plausible duplicate pair: it names the exact export_to_video failure and error, while issue:6681 is just a generic version of the same problem.", "canonical_pr_reason": null, - "best_issue_reason": "No global best issue: the cluster does not describe one underlying defect, so any single issue would misrepresent the rest.", + "best_issue_reason": "issue:6869 is the best representative issue for this cluster because it is specific, reproducible, and the clearest candidate for deduplication; most other items are too heterogeneous to serve as a canonical bug.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5845", + "right": "issue:6906", + "accept": false, + "reason": "Both concern DreamBooth/LoRA training, but they target different setups (PixArt Alpha vs the generic LoRA example) and do not look like the same underlying bug." + }, + { + "left": "issue:6681", + "right": "issue:6869", + "accept": true, + "reason": "Both are about export_to_video failing; 6869 provides the concrete ValueError while 6681 is the generic report, so they likely describe the same bug." + }, { "left": "issue:7333", "right": "issue:7955", "accept": false, - "reason": "Different video-generation research topics; one is a WAN I2V NaN issue, the other is a ConsistentID method proposal." + "reason": "Completely different research/model topics with no shared failure mode or code path." }, { "left": "issue:8671", "right": "issue:8918", "accept": false, - "reason": "Both touch SD3 training scripts, but one is redundant-code cleanup while the other says the script is still broken; not the same concrete bug." + "reason": "One is about redundant code in a script, the other about a broken training script; same family of files but not the same bug." }, { "left": "issue:8943", "right": "issue:9477", "accept": false, - "reason": "Unrelated failures: a missing shared library at install time vs a DeepSpeed/GatheredParameters runtime type error." + "reason": "A missing shared library at install time is unrelated to the GatheredParameters callable error." }, { "left": "issue:6967", "right": "issue:7972", "accept": false, - "reason": "Different training/model issues: SDXL prior-preservation shape mismatch vs LEDITS++ type mismatch." + "reason": "Different training/inference features and different failure types; no evidence of a shared concrete defect." }, { "left": "issue:1672", "right": "issue:2201", "accept": false, - "reason": "Wrong output size after conversion is not the same as tokenizer padding differences; different layer and symptom." + "reason": "Wrong output image size after conversion is unrelated to tokenizer padding differences." }, { "left": "issue:3194", "right": "issue:4868", "accept": false, - "reason": "Bitsandbytes package metadata error is unrelated to a Python __getattr__ AttributeError in a different code path." + "reason": "Bitsandbytes package metadata missing is unrelated to the super().__getattr__ AttributeError." }, { "left": "issue:3249", "right": "issue:7354", "accept": false, - "reason": "Different components entirely: an AttnUpBlock2D argument mismatch vs scheduler compatibility for DDPMPipeline." + "reason": "These are distinct scheduler/block API issues with no shared code-path bug." }, { "left": "issue:8477", "right": "issue:9415", "accept": false, - "reason": "Distributed training-script error vs CogVideoXTransformer3DModel parameter addition error; not the same bug." + "reason": "A distributed training error and a model-parameter API error are not the same underlying issue." }, { "left": "issue:255", "right": "issue:409", "accept": false, - "reason": "One is an image-size validation bug, the other is a missing API method; no shared failure mode." + "reason": "Shape-validation error in StableDiffusionPipeline is unrelated to the missing enable_attention_slicing attribute." }, { "left": "issue:3683", "right": "issue:4450", "accept": false, - "reason": "Saving Multi-ControlNet models is unrelated to multi text inversion not working." + "reason": "Implementing save_pretrained for Multi-ControlNet is a different change from multi text inversion not working." }, { "left": "issue:7516", "right": "issue:9055", "accept": false, - "reason": "Missing pipeline export/import symbols are different API regressions with different names and contexts." + "reason": "Missing DepthNormalEstimationPipeline export is unrelated to missing StableDiffusionLoraLoaderMixin import." }, { "left": "issue:2904", "right": "issue:5523", "accept": false, - "reason": "AudioLDM scheduler NoneType crash is not the same as inconsistent results across runs." + "reason": "AudioLDM scheduler initialization failure is unrelated to nondeterministic results across runs." }, { "left": "issue:7000", "right": "issue:7548", "accept": false, - "reason": "A deprecation warning in utils is not the same underlying issue as flicker in AnimateDiff outputs." + "reason": "A PyTorch deprecation warning is not the same as flickering AnimateDiff outputs." }, { "left": "issue:3651", "right": "issue:5178", "accept": false, - "reason": "Multi-GPU DreamBooth launch failure and DPM SDE resolution-change failure are different problems." + "reason": "Multi-GPU training failure and DPM-SDE resolution-change failure are different bugs." }, { "left": "issue:1614", "right": "issue:5969", "accept": false, - "reason": "Blank black images with autocast and DDIM NaNs with ZSNR patch are different numerical/precision issues." + "reason": "Blank black images under autocast and NaNs with ZSNR patch are different numerical issues." }, { "left": "issue:5678", "right": "issue:5791", "accept": false, - "reason": "Higher-order-derivative attention bug is unrelated to DreamBooth prior-preservation plus SNR gamma training behavior." + "reason": "Higher-order derivative failure in attention is unrelated to DreamBooth prior preservation/SNR gamma training behavior." }, { "left": "issue:5849", "right": "issue:9856", "accept": false, - "reason": "Missing main() args in a training script is not the same as a distributed port collision." + "reason": "A missing main() args error is unrelated to distributed port contention." }, { "left": "issue:6110", "right": "issue:7209", "accept": false, - "reason": "Both mention offline loading, but one is load_lora_weights offline and the other is from_single_file triggering HTTPS access; different code paths." + "reason": "Offline LoRA loading and offline single-file loading are related thematically but not the same concrete failure." }, { "left": "issue:2704", "right": "issue:7102", "accept": false, - "reason": "Multi-ControlNet batch processing request and a MultiControlNet/MultiPrompt bug are related area-wise but not the same defect." + "reason": "Multi-ControlNet batching and multi-prompt controlnet bugs are different issues even though they touch the same subsystem." }, { "left": "issue:4286", "right": "issue:5109", "accept": false, - "reason": "Both concern LoRA loading, but one is SDXL generally and the other is SDXLControlNetImg2ImgPipeline specifically; too different to merge." + "reason": "Both mention load_lora_weights, but they are different pipelines and the reported failures are not clearly the same bug." }, { "left": "issue:9161", "right": "issue:9476", "accept": false, - "reason": "Both involve train_dreambooth_lora_flux, but one is distributed bugs and the other is a validation dtype mismatch; not one concrete bug." + "reason": "Distributed bugs in Flux LoRA training and a validation dtype mismatch are distinct problems." }, { "left": "issue:10798", "right": "issue:9366", "accept": false, - "reason": "Bitsandbytes quantization device-combination bug is unrelated to DPMSolverMultistepScheduler step/strength failure." - }, - { - "left": "issue:12613", - "right": "issue:13311", - "accept": false, - "reason": "WAN I2V latent NaNs and FLUX.2 LoRA key loading errors are different models and different failure modes." - }, - { - "left": "issue:10209", - "right": "issue:9467", - "accept": false, - "reason": "CogVideoX fine-tuning error and CogVideoX I2V num_frames guard-rail issue are separate problems in different parts of the stack." + "reason": "Flux quantization/device-combination issues and DPMSolver step/strength failures are unrelated." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only accepted soft edge, issue:6681 \u2194 issue:6869, is supported by the packet: both are about export_to_video and 6869 provides the concrete ValueError while 6681 is generic. The remaining rejections do not overstate evidence, and the summary appropriately treats the rest of the cluster as heterogeneous." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -88051,7 +87960,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10209", "issue:10337", @@ -88061,8 +87970,10 @@ "issue:10967", "issue:11137", "issue:11962", + "issue:12613", "issue:12653", "issue:12666", + "issue:13311", "issue:1802", "issue:215", "issue:2581", @@ -88071,10 +87982,7 @@ "issue:280", "issue:2905", "issue:2973", - "issue:3116", - "issue:3209", "issue:3336", - "issue:3441", "issue:3570", "issue:4116", "issue:4186", @@ -88099,10 +88007,12 @@ "issue:9031", "issue:9039", "issue:9178", - "issue:9515", - "issue:984" + "issue:9467", + "issue:9515" ], "soft_pairs": [ + "issue:12613|issue:13311", + "issue:10209|issue:9467", "issue:2676|issue:3336", "issue:3570|issue:4789", "issue:10636|issue:8589", @@ -88124,182 +88034,180 @@ "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:2581|issue:2645" ], - "prepared_review_unit_hash": "185fb0c9f8e3f316fbf1a5c115386ce937fe8a373f5f34dc8ca45dddbfbd27a0", + "prepared_review_unit_hash": "59fe3be7c957a5b966121e72e4eea7f3ffd11f153b2d4ab8bfa59dc24e11274f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33550, - "estimated_input_tokens": 8388, - "estimated_eval_tokens": 17032 + "serialized_chars": 32960, + "estimated_input_tokens": 8240, + "estimated_eval_tokens": 16736 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a true duplicate cluster: it mixes unrelated bugs, feature requests, import issues, dtype/memory regressions, and model-specific integration tasks. No PRs are present, and none of the soft pairs describe the same underlying change.", - "confidence": 0.98, - "canonical_issue_reason": "No canonical issue: the items are too heterogeneous to represent one underlying bug or request.", + "summary": "This cluster is not a duplicate set; it mixes unrelated issues across different models, pipelines, schedulers, and backend/device bugs. All soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a valid canonical duplicate target because the items describe distinct problems or feature requests with different code paths.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10636 is the most concrete standalone bug report, but it is not a suitable cluster canonical because the rest of the items are unrelated.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:12613", + "right": "issue:13311", + "accept": false, + "reason": "Different problems: WAN 2.2 i2v latent NaNs vs FLUX2 LoRA key loading prefix mismatch." + }, + { + "left": "issue:10209", + "right": "issue:9467", + "accept": false, + "reason": "Unrelated model/pipeline bugs: CogVideoX fine-tuning error vs CogVideoX I2V num_frames guard-rail." + }, { "left": "issue:2676", "right": "issue:3336", "accept": false, - "reason": "Both mention schedulers, but one asks about names/supported schedulers while the other requests an inverse scheduler; different changes." + "reason": "Scheduler-name question vs DPM-Solver inverse scheduler feature request; not the same issue." }, { "left": "issue:3570", "right": "issue:4789", "accept": false, - "reason": "One is about disabling downloads when loading a ckpt, the other about downloading DeepFloyd IF; same broad area, different problem." + "reason": "Loading control/download behavior vs DeepFloyd IF download failure; different code paths." }, { "left": "issue:10636", "right": "issue:8589", "accept": false, - "reason": "Different models and failures: a bug in value_guided_sampling.py versus SD3 DreamBooth prior preservation behavior." + "reason": "General bug in value_guided_sampling.py vs SD3 DreamBooth prior-preservation training issue." }, { "left": "issue:11962", "right": "issue:9178", "accept": false, - "reason": "Support request for GGUF quantized FLUX model versus PEFT target-module training error; not the same bug." + "reason": "GGUF quantized FLUX.1-Kontext support request vs Flux LoRA PEFT target-module error." }, { "left": "issue:1802", "right": "issue:487", "accept": false, - "reason": "unet_2d_condition encoder_hidden_states handling and M1 CPU support are unrelated code paths." + "reason": "Different generations and symptoms: unet_2d_condition encoder_hidden_states handling vs M1 CPU failure." }, { "left": "issue:10209", "right": "issue:12666", "accept": false, - "reason": "CogVideoX fine-tuning error and Kandinsky video pipeline availability are unrelated model-specific issues." + "reason": "Different pipelines: CogVideoX fine-tuning error vs Kandinsky 5.0 video pipeline availability in a release." }, { "left": "issue:10337", "right": "issue:11137", "accept": false, - "reason": "Both involve dtype/quantization themes, but the concrete failures are different models and different paths." + "reason": "FLUX IPAdapter quantization failure vs LattePipeline dtype mismatch; separate models/code paths." }, { "left": "issue:215", "right": "issue:656", "accept": false, - "reason": "Generic killed/from_pretrained symptom versus DreamBooth GPU error; too vague to be the same underlying bug." + "reason": "Generic from_pretrained kill vs DreamBooth 16GB GPU error; too broad and not the same bug." }, { "left": "issue:280", "right": "issue:2905", "accept": false, - "reason": "Add DEIS scheduler and add Karras sigmas are distinct scheduler feature requests." + "reason": "Add DEIS scheduler vs add Karras sigmas to schedulers; related area but distinct changes." }, { "left": "issue:4116", "right": "issue:8320", "accept": false, - "reason": "SDXL img2img embeddings bug and AutoencoderKL __name__ attribute error are different API failures." + "reason": "SDXL img2img embeddings bug vs from_single_file AutoencoderKL __name__ attribute regression." }, { "left": "issue:4263", "right": "issue:6632", "accept": false, - "reason": "LoRA unloading and whether save_state is necessary for LoRA training scripts are different concerns." + "reason": "LoRA unloading bug vs question about save_state in LoRA training scripts; different concerns." }, { "left": "issue:5714", "right": "issue:7441", "accept": false, - "reason": "PEFT model support in maybe_raise_or_warn and pytest failing on Python 3.12 are unrelated." + "reason": "PeftModel support in maybe_raise_or_warn vs pytest failing on Python 3.12; unrelated." }, { "left": "issue:6383", "right": "issue:9515", "accept": false, - "reason": "Multi-stage learning rates in get_scheduler and missing RMSNorm in SD3 attention are unrelated changes." + "reason": "Multi-stage learning-rate scheduler support vs SD3 JointAttnProcessor RMSNorm omission." }, { "left": "issue:8534", "right": "issue:8535", "accept": false, - "reason": "One is a DreamBooth logit-normal weighting bug, the other xformers attention support; different code paths." + "reason": "SD3 dreambooth logit-normal weighting bug vs SD3 xformers attention support; separate issues." }, { "left": "issue:9031", "right": "issue:9039", "accept": false, - "reason": "Flax safety checker disabling and Flax LoRA loading are separate API features." + "reason": "Flax pipeline safety checker question vs Flax LoRA loading question; not the same underlying bug." }, { "left": "issue:2973", "right": "issue:5523", "accept": false, - "reason": "Both mention inconsistent behavior, but one is about cpu offload differences and the other general run-to-run inconsistency." + "reason": "enable_model_cpu_offload changes results vs inconsistent runs; too generic and not clearly the same defect." }, { "left": "issue:10760", "right": "issue:8958", "accept": false, - "reason": "Legacy ONNX pipeline import error and torch.library.register_fake absence are unrelated import/runtime issues." + "reason": "ONNX import attribute bug vs PyTorch 2.4 torch.library.register_fake incompatibility; unrelated." }, { "left": "issue:5006", "right": "issue:6956", "accept": false, - "reason": "Both are OOM reports, but on different pipelines, stages, and environments; not one concrete bug." + "reason": "SDXL BF16 training OOM vs StableVideoDiffusion SageMaker OOM; same symptom class, different workloads/code paths." }, { "left": "issue:10891", "right": "issue:12653", "accept": false, - "reason": "Both involve dtype conversion issues, but DCAE bfloat16 breakage and PRX rope float64/MPS are different subsystems." + "reason": "DCAE bfloat16 type conversion bug vs PRX rope float64 reference on MPS/npu; different models and failures." }, { "left": "issue:4186", "right": "issue:5064", "accept": false, - "reason": "Refiner-related inference failure versus out-of-space during refiner use; one is a functional bug, the other a resource problem." + "reason": "SDXL inpaint/refiner interaction vs refiner inference out-of-space; different symptoms and fixes." }, { "left": "issue:10967", "right": "issue:8641", "accept": false, - "reason": "Both are model integration requests, but for different models and different additions." + "reason": "Integrating LaVie/Cinemo vs integrating Lumina-T2X; separate feature requests." }, { "left": "issue:2581", "right": "issue:2645", "accept": false, - "reason": "ControlNet checkpoint conversion and a mac M1 CUDA assertion in the pipeline are different problems." - }, - { - "left": "issue:3116", - "right": "issue:3441", - "accept": false, - "reason": "Scheduler-induced latent noise and higher VRAM usage are different symptoms with different causes." - }, - { - "left": "issue:3209", - "right": "issue:984", - "accept": false, - "reason": "AutoencoderKL NaNs on large images and F.interpolate breaking on large batch size are not the same bug." + "reason": "ControlNet checkpoint conversion feature vs Mac M1 CUDA assertion error; unrelated." } ] }, @@ -88321,7 +88229,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10030", "issue:10121", @@ -88333,9 +88241,9 @@ "issue:13281", "issue:1746", "issue:1933", - "issue:2579", "issue:2668", "issue:3116", + "issue:3209", "issue:3406", "issue:3441", "issue:3960", @@ -88352,7 +88260,6 @@ "issue:5365", "issue:5703", "issue:5981", - "issue:5997", "issue:6091", "issue:6131", "issue:7365", @@ -88369,10 +88276,12 @@ "issue:9476", "issue:9516", "issue:9822", - "issue:9873", - "issue:9907" + "issue:984", + "issue:9873" ], "soft_pairs": [ + "issue:3116|issue:3441", + "issue:3209|issue:984", "issue:6131|issue:9092", "issue:11574|issue:8839", "issue:11225|issue:9476", @@ -88394,182 +88303,180 @@ "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:10121|issue:10584" ], - "prepared_review_unit_hash": "c9fb230542351352ba1440c375108a309a8f9f6cd01e68b0f054db7033fb8199", + "prepared_review_unit_hash": "7a032c4fce90cd33daf1666e87e83a69dae106d9aedcc2f222ba1eb1fec5b657", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33827, - "estimated_input_tokens": 8457, - "estimated_eval_tokens": 17170 + "serialized_chars": 33265, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is not a true duplicate set: the items span many unrelated bugs, feature requests, docs issues, and model-specific regressions. None of the soft pairs look like the same underlying change or defect.", - "confidence": 0.94, - "canonical_issue_reason": "Issue 9516 is the clearest concrete code-path bug here: a specific FLUX transformer argument-forwarding problem with an actionable fix. It is more representative than the other items, which are mostly unrelated or too broad.", + "summary": "This is a heterogeneous cluster of mostly unrelated diffusers issues across ControlNet, Flux, schedulers, loaders, training examples, and documentation. None of the proposed soft pairs looks like the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #10030 is the most concrete, code-path-specific bug report in the set: it names the failing pipeline and the missing ControlNet `added_cond_kwargs` contract clearly.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 9516 is the best single issue to anchor this noisy cluster because it describes a precise, reproducible runtime bug rather than a vague usage question or a doc/feature request.", + "best_issue_reason": "Issue #10030 is the best representative issue because it is narrowly scoped, reproducible, and tied to a specific pipeline mismatch rather than a broad symptom or feature request.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:3116", + "right": "issue:3441", + "accept": false, + "reason": "Both involve diffusion internals, but one is a scheduler/noise bug and the other is a VRAM regression; different symptoms and code paths." + }, + { + "left": "issue:3209", + "right": "issue:984", + "accept": false, + "reason": "Both mention large inputs/tensor shape issues, but one is an AutoencoderKL NaN problem and the other is an interpolation/batch-size failure; not the same bug." + }, { "left": "issue:6131", "right": "issue:9092", "accept": false, - "reason": "Different loading failures in different pipelines: IP-Adapter Plus not working vs Flux missing model_index.json." + "reason": "IP-Adapter Plus not working and Flux model_index.json missing are separate loading/configuration issues." }, { "left": "issue:11574", "right": "issue:8839", "accept": false, - "reason": "Different model errors and root causes: a VAE weight KeyError vs an SD3 LoRA weight issue." + "reason": "Both are weight-loading errors, but they affect different models and failure modes (missing VAE key vs SD3 LoRA weight mismatch)." }, { "left": "issue:11225", "right": "issue:9476", "accept": false, - "reason": "Both involve training/validation failures, but one is SD3 ControlNet OOM and the other is Flux LoRA dtype mismatch; not the same bug." + "reason": "Training OOM on validation and Flux validation dtype mismatch are unrelated training failures." }, { "left": "issue:4483", "right": "issue:5081", "accept": false, - "reason": "Different pipeline problems: generator determinism vs a shape-mismatch error in LPW XL." + "reason": "Determinism of the generator and a matmul shape error are different problems in different parts of the pipeline." }, { "left": "issue:8309", "right": "issue:9873", "accept": false, - "reason": "Unrelated requests: conditional diffusion distillation vs adding an OmniGen pipeline." + "reason": "A feature request for conditional diffusion distillation is not the same change as adding an OmniGen pipeline." }, { "left": "issue:2668", "right": "issue:4104", "accept": false, - "reason": "Different bugs in different code paths: ControlNet image handling vs black-image/invalid cast output." + "reason": "ControlNet image misrouted as Img2Img input and black-image casting warnings are different bugs with different mechanisms." }, { "left": "issue:3116", "right": "issue:5703", "accept": false, - "reason": "Different scheduler issues with different mechanisms: latent noise in image2image vs ddim inverse reconstruction." + "reason": "Both are scheduler-related, but one is latent noise in img2img and the other is ddim_inverse reconstruction failure; different code paths." }, { "left": "issue:4701", "right": "issue:6091", "accept": false, - "reason": "Different components and failures: AutoencoderKL CUDA differentiation error vs Consistency Decoder memory issue." + "reason": "AutoencoderKL differentiation CUDA error and consistency-decoder memory usage are unrelated." }, { "left": "issue:3960", "right": "issue:5313", "accept": false, - "reason": "Both mention LoRA, but one is a header-size error and the other is non-revertible fuse behavior." + "reason": "A LoRA header-too-large loading error and non-revertible LoRA fuse are different LoRA issues." }, { "left": "issue:12052", "right": "issue:13281", "accept": false, - "reason": "Both are device/offloading mismatches, but they affect different models and likely different offloading paths; too broad to merge." + "reason": "Both describe offloading/device mismatch, but they involve different models and different offloading implementations; too broad to treat as the same bug." }, { "left": "issue:11601", "right": "issue:8898", "accept": false, - "reason": "Both are loading-related, but one is missing use_safetensors propagation and the other is subfolder path validation." + "reason": "Missing `use_safetensors` propagation and subfolder loading ValueError are separate loader bugs." }, { "left": "issue:1746", "right": "issue:5224", "accept": false, - "reason": "Both are Flax Stable Diffusion errors, but the reports are too general to establish the same underlying defect." + "reason": "Two Flax Stable Diffusion errors, but no shared failing behavior or code path is evident from the titles." }, { "left": "issue:1933", "right": "issue:4075", "accept": false, - "reason": "Both are docstring issues only; not the same documentation change." + "reason": "Both are docstring-only issues, but they touch different classes and unrelated text changes." }, { "left": "issue:3406", "right": "issue:929", "accept": false, - "reason": "Different attention concerns: only_cross_attention behavior vs square-root computation duplication." + "reason": "Both mention attention, but one is a functional `only_cross_attention` bug and the other is a duplicate square-root calculation; not the same issue." }, { "left": "issue:4249", "right": "issue:7365", "accept": false, - "reason": "Both concern prompt embedding handling, but one is input validation for upscale and the other is pooled_prompt_embeds being overwritten; distinct bugs." + "reason": "Both concern pipeline input handling, but one is `prompt_embeds` validation in upscale and the other is pooled embeddings being overwritten; not close enough." }, { "left": "issue:4801", "right": "issue:5981", "accept": false, - "reason": "Unrelated issues: mixed precision example bug vs DPMSolverMultistepScheduler bug." + "reason": "Mixed-precision training example bug and DPMSolverMultistepScheduler bug are unrelated." }, { "left": "issue:4911", "right": "issue:9052", "accept": false, - "reason": "Both involve from_single_file loading, but one is custom text encoder loading and the other is civit checkpoint handling; different failure modes." + "reason": "Both involve `from_single_file`, but one is custom text encoder loading and the other is checkpoint compatibility with certain civit files; different underlying causes." }, { "left": "issue:5365", "right": "issue:8649", "accept": false, - "reason": "Different pipeline parameter regressions: txt2video num_inference_steps vs SD3 num_images_per_prompt." + "reason": "Txt2video inference-step handling and SD3 `num_images_per_prompt` handling are unrelated pipeline parameter bugs." }, { "left": "issue:7418", "right": "issue:7460", "accept": false, - "reason": "Completely different topics: a community pipeline bug vs an AdaLayerNorm bug." + "reason": "An example script bug and an AdaLayerNorm bug are clearly different." }, { "left": "issue:9516", "right": "issue:9822", "accept": false, - "reason": "Both are FLUX-related, but one is a missing kwargs forward and the other is LoRA loading into Flux; not the same concrete defect." + "reason": "Missing `joint_attention_kwargs` forwarding into FLUX and loading SDXL LoRAs into Flux are different FLUX-related issues." }, { "left": "issue:10030", "right": "issue:7636", "accept": false, - "reason": "One is a ControlNet pipeline bug about added_cond_kwargs, the other is a usage question for the SDXL tile model." + "reason": "Both mention ControlNet, but one is a concrete `added_cond_kwargs` pipeline bug and the other is a usage question about the SDXL tile model." }, { "left": "issue:10121", "right": "issue:10584", "accept": false, - "reason": "Different bugs: high-resolution generation failure in Flux vs a scheduler timestep lookup bug." - }, - { - "left": "issue:5997", - "right": "issue:9907", - "accept": false, - "reason": "Different ControlNet/Flux problems: tutorial model-type mismatch vs training sequence-length warning." - }, - { - "left": "issue:2579", - "right": "issue:3441", - "accept": false, - "reason": "Different xFormers/PyTorch issues: possible xFormers misuse vs higher VRAM usage under PyTorch 2." + "reason": "High-resolution Flux generation failure and missing timestep indices in a scheduler helper are unrelated." } ] }, @@ -88591,7 +88498,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1009", "issue:10194", @@ -88606,6 +88513,7 @@ "issue:12369", "issue:12624", "issue:1486", + "issue:2579", "issue:2758", "issue:2875", "issue:3209", @@ -88619,30 +88527,30 @@ "issue:4767", "issue:4875", "issue:4933", - "issue:4935", "issue:5017", "issue:5103", - "issue:5474", "issue:5544", "issue:5546", "issue:5621", + "issue:5997", "issue:6101", "issue:6552", "issue:6586", "issue:6686", "issue:6964", "issue:7220", - "issue:7300", "issue:8390", "issue:8451", "issue:8873", "issue:9051", - "issue:9216", "issue:9297", "issue:9670", - "issue:9799" + "issue:9799", + "issue:9907" ], "soft_pairs": [ + "issue:5997|issue:9907", + "issue:2579|issue:3441", "issue:3441|issue:4159", "issue:6101|issue:6964", "issue:10194|issue:12120", @@ -88664,182 +88572,180 @@ "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:5017|issue:8390" ], - "prepared_review_unit_hash": "9b52ae2b8f5abe711cde525387405fa5927ea1004155077f3bafdc0c38c24e3c", + "prepared_review_unit_hash": "d91328b382efea49b415c8d66fffd250f04960b2e6728d60632df50436a541c7", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 34045, - "estimated_input_tokens": 8512, - "estimated_eval_tokens": 17280 + "serialized_chars": 33314, + "estimated_input_tokens": 8329, + "estimated_eval_tokens": 16914 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No duplicate pair looks valid here; the soft matches are mostly broad keyword similarity across unrelated issues and features.", - "confidence": 0.84, - "canonical_issue_reason": "No clear canonical issue: the cluster is heterogeneous, with only superficial title overlap between items.", + "summary": "These issues are mostly unrelated; the soft pairs only share superficial keywords like ControlNet, LoRA, training, or black images, not the same underlying bug/change.", + "confidence": 0.98, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:11092 is the strongest standalone bug report in the set because it is concrete and reproducible, but it does not represent the rest of the cluster.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5997", + "right": "issue:9907", + "accept": false, + "reason": "Different problems: SDXL ControlNet tutorial/model-type mismatch vs Flux controlnet sequence-length warning." + }, + { + "left": "issue:2579", + "right": "issue:3441", + "accept": false, + "reason": "xFormers misuse/bug report versus PyTorch 2 VRAM regression; different symptoms and code paths." + }, { "left": "issue:3441", "right": "issue:4159", "accept": false, - "reason": "Different bugs: PyTorch2 VRAM regression vs DiffEdit huge VRAM use; same broad symptom, not the same underlying issue." + "reason": "Both mention memory, but one is PyTorch2 VRAM under specific conditions and the other is DiffEdit needing huge VRAM." }, { "left": "issue:6101", "right": "issue:6964", "accept": false, - "reason": "Both involve ControlNet inpainting, but one is a performance complaint and the other is 4-channel U-Net compatibility." + "reason": "ControlNet inpaint performance regression is not the same as 4-channel UNet compatibility failure." }, { "left": "issue:10194", "right": "issue:12120", "accept": false, - "reason": "Flux attention masking support request vs LoRA training question on a distilled Flux model; unrelated changes." + "reason": "Flux attention masking feature request is unrelated to LoRA training on distilled Flux models." }, { "left": "issue:11221", "right": "issue:9799", "accept": false, - "reason": "AutoencoderKL non-convergence/training question vs tensor size mismatch runtime error; different failure modes and components." + "reason": "AutoencoderKL non-convergence during training is unrelated to a tensor shape mismatch runtime error." }, { "left": "issue:4875", "right": "issue:9051", "accept": false, - "reason": "Scheduler crash when batch size changes vs FluxPipeline batch inference support; different pipelines and triggers." + "reason": "Both involve batch behavior, but one is a scheduler crash on batch-size changes and the other is FluxPipeline lacking batch inference support." }, { "left": "issue:6552", "right": "issue:6586", "accept": false, - "reason": "Training resume FP16 tracker vs SDXL micro-conditioning tracker; unrelated training tasks." + "reason": "Training resume FP16 tracker and SDXL micro-conditioning tracker are separate training topics." }, { "left": "issue:11321", "right": "issue:8451", "accept": false, - "reason": "README/doc issue for flux controlnet training vs training-details question about frozen UNet parameters; not the same bug." + "reason": "README bug for Flux ControlNet training is not the same as freezing UNet parameters / missing sd1.x training script." }, { "left": "issue:11569", "right": "issue:12624", "accept": false, - "reason": "Different feature requests for different models/pipelines: ltxv repo availability vs adding strength to wanimagetovideopipeline." + "reason": "Repo request for a model checkpoint is unrelated to adding a strength parameter to WanImageToVideoPipeline." }, { "left": "issue:2875", "right": "issue:3209", "accept": false, - "reason": "Both mention NaNs, but one is text-to-image training loss and the other is AutoencoderKL encoder output on large images." + "reason": "Both mention NaNs, but one is training loss divergence and the other is AutoencoderKL encoder NaNs on large images." }, { "left": "issue:4767", "right": "issue:5621", "accept": false, - "reason": "Scheduler prediction_type=sample support vs SDXL ControlNet encoder_hid_proj support; different code paths." + "reason": "Scheduler sample support and SDXL ControlNet encoder_hid_proj support are different concrete issues." }, { "left": "issue:5546", "right": "issue:6686", "accept": false, - "reason": "One is wrong step counting with Karras sigmas, the other is Dynamo compile performance after save/load; unrelated bugs." + "reason": "Wrong step count in base+refiner ensemble is unrelated to lack of compile performance improvement after save/load." }, { "left": "issue:9297", "right": "issue:9670", "accept": false, - "reason": "Load-time scaling for multiple LoRAs vs missing PEFT backend error; performance issue vs dependency requirement." + "reason": "Linear LoRA load time regression is not the same as PEFT-backend-required load failure." }, { "left": "issue:11092", "right": "issue:11136", "accept": false, - "reason": "Both concern timesteps, but they affect different pipelines/models and have different unsupported conditions." + "reason": "Both concern timesteps, but they affect different pipelines/models and have different failure modes." }, { "left": "issue:1009", "right": "issue:1486", "accept": false, - "reason": "Textual inversion weight decay bug vs DDIMScheduler prediction_type='sample' bug; unrelated subsystems." + "reason": "Textual inversion weight decay bug is unrelated to DDIMScheduler prediction_type='sample' behavior." }, { "left": "issue:3348", "right": "issue:3960", "accept": false, - "reason": "Scale parameter support with xformers for LoRA models vs HeaderTooLarge serialization issue; different bug classes." + "reason": "LoRA xformers scale support and HeaderTooLarge are entirely different kinds of bugs." }, { "left": "issue:4933", "right": "issue:7220", "accept": false, - "reason": "Dreambooth output artifact complaint vs unload_ip_adapter error; different pipeline behaviors." + "reason": "Dreambooth output file problem is unrelated to unload_ip_adapter() failing in ControlNet inpaint." }, { "left": "issue:11083", "right": "issue:8873", "accept": false, - "reason": "Torch-DDP stride mismatch warning vs xformers being slower on A100; not the same problem." + "reason": "DDP stride mismatch warning is a different issue from xformers being slower than no xformers." }, { "left": "issue:11978", "right": "issue:12369", "accept": false, - "reason": "Separate pipeline requests for different model families: Bria 3.2 vs Wan 2.1 CineScale." + "reason": "These are separate model/pipeline feature requests for different systems." }, { "left": "issue:2758", "right": "issue:5103", "accept": false, - "reason": "Both mention black images, but one is ROCm torch.compile and the other is zero_snr DDIM; different causes." + "reason": "Both show black images, but one is ROCm torch.compile-related and the other is zero-SNR DDIM-related." }, { "left": "issue:3354", "right": "issue:4424", "accept": false, - "reason": "Different script-level dtype bugs: UNet fp16 casting in LoRA training vs unconditional VAE float32 upcast in SDXL Instruct Pix2Pix." + "reason": "Training-script fp16 casting bug and SDXL VAE upcast bug are different dtype-handling problems in different scripts." }, { "left": "issue:4616", "right": "issue:5544", "accept": false, - "reason": "LoRA SDXL conversion script failure vs FreeU disable error in StableDiffusionXLPipeline; unrelated code paths." - }, - { - "left": "issue:4935", - "right": "issue:7300", - "accept": false, - "reason": "A question about AttnProcsLayers usage in an SDXL LoRA script vs high GPU memory after set_default_attn_processor; different issues." + "reason": "LoRA safetensor conversion failure is unrelated to disabling FreeU raising an error." }, { "left": "issue:5017", "right": "issue:8390", "accept": false, - "reason": "Control mode for ControlNet feature request vs Stable Cascade ControlNet training; not the same change." - }, - { - "left": "issue:5474", - "right": "issue:9216", - "accept": false, - "reason": "Both are pipeline ideas, but one is reference-only SD and the other is a generic multi-model pipeline; different scope and mechanism." + "reason": "Control mode request for ControlNet and Stable Cascade controlnet training are not the same underlying change." } ] }, @@ -88861,14 +88767,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10039", "issue:1009", "issue:10112", "issue:10266", "issue:10337", - "issue:10381", "issue:10472", "issue:11169", "issue:11497", @@ -88892,6 +88797,7 @@ "issue:4923", "issue:5016", "issue:5271", + "issue:5474", "issue:5515", "issue:5593", "issue:5678", @@ -88904,15 +88810,16 @@ "issue:6742", "issue:7859", "issue:8488", - "issue:8604", "issue:8644", "issue:8803", "issue:9007", "issue:9186", + "issue:9216", "issue:941", "issue:964" ], "soft_pairs": [ + "issue:5474|issue:9216", "issue:5593|issue:6700", "issue:5710|issue:9007", "issue:2306|issue:3643", @@ -88935,181 +88842,180 @@ "issue:10039|issue:8803", "issue:1009|issue:3405", "issue:10112|issue:7859", - "issue:10266|issue:10337", - "issue:10381|issue:8604" + "issue:10266|issue:10337" ], - "prepared_review_unit_hash": "45d852a29581224d43d80d115fabbac168d741d0a1d9fcb8e991f70b97f3ca63", + "prepared_review_unit_hash": "98bb2d28689a032e68831b116f3424e3137281871eb1381c5e06b44433bb3dcf", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34304, - "estimated_input_tokens": 8576, - "estimated_eval_tokens": 17408 + "serialized_chars": 34396, + "estimated_input_tokens": 8599, + "estimated_eval_tokens": 17454 }, "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, scheduler issues, training-script errors, quantization problems, and a few attention/UNet-related reports. None of the soft-edge pairs look like the same underlying defect, so all are rejected.", - "confidence": 0.23, - "canonical_issue_reason": "issue:10039 is the most concrete, code-level bug report in a central UNet attention path, making it the best anchor if one issue must represent the cluster.", + "summary": "This cluster is heterogeneous: most items only share broad vocabulary like schedulers, pipelines, attention, or xFormers, but they describe different bugs or feature requests. I would reject all soft edges; none look like the same underlying change or defect.", + "confidence": 0.24, + "canonical_issue_reason": "issue:10039 is the most concrete, narrowly scoped bug report with an explicit file/function target (`AttnUpBlock2D` in `unet_2d_blocks.py`) and a clear missing-argument failure mode.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10039 is the clearest and most actionable representative of the narrow attention-block class of reports here, though the cluster overall does not appear to be true duplicates.", + "best_issue_reason": "issue:10039 is the best representative issue because it is precise, actionable, and clearly tied to a single code-path fix; the rest are broader, vaguer, or clearly different problems.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5474", + "right": "issue:9216", + "accept": false, + "reason": "Both are pipeline-related ideas, but one is a specific reference-only pipeline request and the other is a generic multi-model pipeline concept; different changes." + }, { "left": "issue:5593", "right": "issue:6700", "accept": false, - "reason": "Different code paths: AutoPipeline conversion vs attention-processor temb argument handling." + "reason": "Both mention pipeline/attention internals, but one is about `AutoPipeline.from_pipe` with ControlNet and the other is a `temb` argument TypeError in attention processors; unrelated bugs." }, { "left": "issue:5710", "right": "issue:9007", "accept": false, - "reason": "Both scheduler-related, but one is missing sigmas on init and the other is a black-output regression in 3rd-order sampling." + "reason": "Same scheduler family, but one is missing `sigmas` on init and the other is black output at order 3; different failure modes and likely different code paths." }, { "left": "issue:2306", "right": "issue:3643", "accept": false, - "reason": "Both mention INT_MAX, but the failures are different operations and likely different root causes." + "reason": "Both involve runtime size limits, but one is an `INT_MAX` error and the other is an NHWC upsample tensor-size limit while decoding latents; not the same defect." }, { "left": "issue:10472", "right": "issue:11497", "accept": false, - "reason": "LoRA inference constructor error is unrelated to dataset preprocessing cache invalidation." + "reason": "One is a LoRA `lora_bias` constructor argument error, the other is dataset cache invalidation from unrelated args; clearly different areas." }, { "left": "issue:11169", "right": "issue:13176", "accept": false, - "reason": "Environment/binary incompatibility is not the same as a UNet attention runtime error." + "reason": "Binary incompatibility on import versus an attention error in UNet2DConditionModel; unrelated issues." }, { "left": "issue:12358", "right": "issue:13301", "accept": false, - "reason": "Both are feature requests for adding pipelines, but for different models and different changes." + "reason": "Both are pipeline feature requests, but they target different pipelines and different additions; not the same change." }, { "left": "issue:8488", "right": "issue:8644", "accept": false, - "reason": "Both involve SD3 loading, but one is a from_pretrained exception and the other is a sequential/offload meta-tensor issue." + "reason": "Both relate to Stable Diffusion 3 loading, but one is a `from_pretrained` exception and the other is a separate T5/meta-tensor offload bug; different code paths." }, { "left": "issue:5515", "right": "issue:6742", "accept": false, - "reason": "LCM scheduler initialization and Motion module checkpointing are separate problems." + "reason": "One is an LCM scheduler initialization failure; the other is a motion block checkpointing discrepancy. Same broad domain, different bugs." }, { "left": "issue:1314", "right": "issue:4916", "accept": false, - "reason": "xFormers backward on Windows is different from gradient checkpointing + ZeRO3 training failure." + "reason": "Both are training-time failures, but one is xformers backward on Windows and the other is gradient checkpointing + ZeRO3; not the same underlying issue." }, { "left": "issue:1537", "right": "issue:941", "accept": false, - "reason": "Both mention MPS, but one is about specific KDPM2 schedulers and the other about num_images_per_prompt noise in img2img." + "reason": "Both are MPS-related, but they affect different schedulers and different symptoms (`KDPM2` scheduler issues vs noisy `num_images_per_prompt` output)." }, { "left": "issue:1540", "right": "issue:579", "accept": false, - "reason": "Both are config-loading failures, but for different scripts, missing files, and different error modes." + "reason": "Dreambooth/transformers missing `MODEL_TYPE` is unrelated to Textual Inversion missing `config.json`; different subsystems and failures." }, { "left": "issue:1918", "right": "issue:964", "accept": false, - "reason": "Different example failures: DDIM on ddpm-celebahq versus inpainting example startup/runtime behavior." + "reason": "Both are example failures, but one is a DDIM scheduler issue for a specific dataset example and the other is inpainting example failure; insufficient evidence of sameness." }, { "left": "issue:6412", "right": "issue:9186", "accept": false, - "reason": "ONNX annotator export is a feature request, not the same as ControlNet differential-diffusion behavior." + "reason": "One is a request to port ControlNet annotators to ONNX; the other is about differential diffusion with ControlNet. Feature request vs pipeline behavior bug." }, { "left": "issue:5016", "right": "issue:6366", "accept": false, - "reason": "SDXL text-encoder training support and checkpoint reload bugs are distinct Dreambooth LoRA issues." + "reason": "Both are Dreambooth/LoRA training scripts, but one is about text encoder training and the other about checkpoint reload correctness; different concrete bugs." }, { "left": "issue:4923", "right": "issue:5271", "accept": false, - "reason": "AudioLDM2 transcript support is unrelated to different learning rates for Dreambooth text encoders and UNet." + "reason": "AudioLDM 2 transcript support is a feature request; different learning rates for text encoders and UNet is a training configuration feature. Not the same issue." }, { "left": "issue:1262", "right": "issue:1896", "accept": false, - "reason": "Rectangle-image training request is unrelated to the CLIP-guided SD size/dict error." + "reason": "Rectangle-image training and CLIP-guided SD size/dict TypeError are unrelated." }, { "left": "issue:2579", "right": "issue:3660", "accept": false, - "reason": "xFormers misuse/bug and torch.compile incompatibility with LoRA/xformers are related broadly but not the same concrete defect." + "reason": "Both mention xFormers/compile, but one is a likely xFormers bug or misuse and the other is torch.compile incompatibility with LoRA or xFormers; too different to merge." }, { "left": "issue:4593", "right": "issue:5678", "accept": false, - "reason": "Loading an A1111 LoRA with rank constraints is unrelated to higher-order-derivative attention errors." + "reason": "LoRA rank-loading failure and higher-order-derivative attention error are distinct problems in different code paths." }, { "left": "issue:3282", "right": "issue:5897", "accept": false, - "reason": "Memory-efficient attention operator availability and CPU/CUDA device mismatch are different runtime failures." + "reason": "One is missing `memory_efficient_attention_forward` operator support; the other is a CPU/GPU device mismatch during LoRA training. Different root causes." }, { "left": "issue:10039", "right": "issue:8803", "accept": false, - "reason": "Both touch attention code, but one is about passing output sample size and the other is a duplicate hidden_states assignment." + "reason": "Missing output sample size in `AttnUpBlock2D` and duplicate `hidden_states` assignment in attention processor are different attention bugs in different files." }, { "left": "issue:1009", "right": "issue:3405", "accept": false, - "reason": "Textual inversion weight decay and ControlNet training bugs are unrelated training-script issues." + "reason": "Weight decay bug in textual inversion and a controlnet training bug are unrelated training issues." }, { "left": "issue:10112", "right": "issue:7859", "accept": false, - "reason": "Detail-Daemon diffusers and FlashFace implementation are unrelated feature/issue reports." + "reason": "One is a vague discussion about diffusers, the other is a request to add FlashFace implementation; not the same underlying change." }, { "left": "issue:10266", "right": "issue:10337", "accept": false, - "reason": "UniPC FlowMatch index bounds and quantized FLUX IPAdapter failures are different code paths." - }, - { - "left": "issue:10381", - "right": "issue:8604", - "accept": false, - "reason": "Both involve precision/quantization in Flux/SD3-adjacent setups, but the reported failures and root causes differ." + "reason": "UniPC + FlowMatch index error and FLUX IPAdapter failure with quantized transformers are different runtime problems." } ] }, @@ -89131,8 +89037,9 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10381", "issue:10591", "issue:10782", "issue:10901", @@ -89140,11 +89047,9 @@ "issue:1117", "issue:11653", "issue:11790", - "issue:11872", "issue:12012", "issue:12083", "issue:12610", - "issue:13488", "issue:1746", "issue:1994", "issue:201", @@ -89178,10 +89083,12 @@ "issue:8567", "issue:8579", "issue:8588", + "issue:8604", "issue:9178", "issue:9810" ], "soft_pairs": [ + "issue:10381|issue:8604", "issue:10591|issue:11790", "issue:10591|issue:9810", "issue:10782|issue:12083", @@ -89204,181 +89111,180 @@ "issue:1746|issue:2412", "issue:4616|issue:5441", "issue:6250|issue:7574", - "issue:2392|issue:3040", - "issue:11872|issue:13488" + "issue:2392|issue:3040" ], - "prepared_review_unit_hash": "43a4a7a57e81ed83604f30c3e1977bcc575553c4a87de192553487dcc8bcbf41", + "prepared_review_unit_hash": "4beec597f964f0da3e7060432171baa7b3f02723f320cc8c6b827f95d819fefd", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 32966, - "estimated_input_tokens": 8242, - "estimated_eval_tokens": 16740 + "serialized_chars": 32992, + "estimated_input_tokens": 8248, + "estimated_eval_tokens": 16752 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is very heterogeneous; most items are unrelated feature requests or distinct bugs. Under a strict duplicate standard, none of the soft pairs are the same underlying issue. The closest umbrella topic is SD3/LoRA training/loading, but even there the symptoms and code paths differ.", - "confidence": 0.31, - "canonical_issue_reason": "Issue 8579 is the broadest, most central LoRA-related bug in the set and is the closest thing to an umbrella problem among the similar-looking items.", + "summary": "All proposed edges are superficial keyword matches; none appear to describe the same underlying bug or change. The items span unrelated areas (LoRA training/loading, prompt handling, scheduler behavior, offload, file loading, dtype conversion), so this is not a clean duplicate cluster.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits well: the set is heterogeneous and the soft pairs do not share a concrete failure mode or code path.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 8579 has the clearest high-level scope (SD3 LoRA support) and best represents the recurring LoRA training/loading theme in this otherwise noisy cluster.", + "best_issue_reason": "No global best issue: the cluster is too mixed to have one representative bug report without losing important distinctions.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10381", + "right": "issue:8604", + "accept": false, + "reason": "Different problems: Flux/Quanto quantization + LoRA inference error vs T5 text-encoder float16 corruption." + }, { "left": "issue:10591", "right": "issue:11790", "accept": false, - "reason": "Both involve LoRA training/load problems, but one is SD3 training-script behavior and the other is SDXL advanced-script weight loading; different models and failure modes." + "reason": "Both are LoRA-related, but one is an SD3 training-script issue and the other is a weight-loading failure from a different script/path." }, { "left": "issue:10591", "right": "issue:9810", "accept": false, - "reason": "One is about an SD3 training script bug, the other about module_to_save support in LoRA; not the same concrete code path." + "reason": "Training-script bug vs missing LoRA `module_to_save()` support; related ecosystem, but not the same bug." }, { "left": "issue:10782", "right": "issue:12083", "accept": false, - "reason": "Different models and symptoms: Lumina Image minor issue vs Qwen-Image long-prompt error." + "reason": "Both mention model-specific issues, but Lumina Image 2.0 and Qwen-Image long-prompt errors are unrelated failure cases." }, { "left": "issue:10901", "right": "issue:9178", "accept": false, - "reason": "HunyuanVideo negative_prompt output bug is unrelated to Flux LoRA target-module training errors." + "reason": "Different models and symptoms: HunyuanVideo negative-prompt output bug vs Flux LoRA PEFT target-module error." }, { "left": "issue:1101", "right": "issue:2785", "accept": false, - "reason": "Scheduler addition request is unrelated to M1/M2 text-to-video support." + "reason": "Scheduler feature request is unrelated to M1/M2 text-to-video support." }, { "left": "issue:1117", "right": "issue:201", "accept": false, - "reason": "Multiple negative-prompt tests and attention-class tests are different test areas, not the same bug." + "reason": "Multiple negative prompt tests vs attention class tests; same area of testing, but not the same issue." }, { "left": "issue:1994", "right": "issue:5079", "accept": false, - "reason": "AWS/S3 path support for from_pretrained is unrelated to loading LyCORIS LoRA weights." + "reason": "S3 path support in `from_pretrained` is unrelated to LyCORIS LoRA loading support." }, { "left": "issue:2192", "right": "issue:6230", "accept": false, - "reason": "Missing DreamBooth CLI args and SDXL out-of-memory are different issues." + "reason": "Missing DreamBooth LoRA CLI args vs SDXL out-of-memory during training; different bugs." }, { "left": "issue:2907", "right": "issue:3761", "accept": false, - "reason": "Both touch loading/offload behavior, but one is double CPU offload and the other is loading multiple community pipelines; not the same defect." + "reason": "CPU offload called twice vs loading two community pipelines in one process; both are lifecycle issues but different code paths." }, { "left": "issue:3045", "right": "issue:5989", "accept": false, - "reason": "LoRA conversion tooling and a safetensors.torch bug are unrelated." + "reason": "LoRA conversion script issue vs generic `safetensors.torch` bug; no concrete overlap shown." }, { "left": "issue:3706", "right": "issue:7525", "accept": false, - "reason": "New model support (Wuerstchen) and a discrete scheduler request are not the same underlying change." + "reason": "Wuerstchen model announcement vs discrete scheduler typo/feature request; not duplicates." }, { "left": "issue:4194", "right": "issue:6441", "accept": false, - "reason": "Single-file VAE loading failure and Colab from_pretrained problems are different runtime/load paths." + "reason": "Single-file VAE loading bug vs Colab `from_pretrained` issue; different environments and failure modes." }, { "left": "issue:4468", "right": "issue:6686", "accept": false, - "reason": "Multi-GPU performance discrepancy is not the same as Dynamo save/load compilation regression." + "reason": "Multi-GPU sample-code performance discrepancy vs Dynamo save/load performance regression; related only at a very broad level." }, { "left": "issue:5135", "right": "issue:6176", "accept": false, - "reason": "LoRA quality degradation with xformers and failure to load LoRA weights after training are distinct problems." + "reason": "LoRA quality degradation with xformers vs failure loading LoRA weights after training; distinct symptoms and likely causes." }, { "left": "issue:5489", "right": "issue:7157", "accept": false, - "reason": "General PEFT/diffusers integration alert is too broad to be the same as LCM LoRA unexpected-keys loading." + "reason": "General PEFT integration alert vs LCM-LoRA unexpected keys when loading with peft; not the same concrete bug." }, { "left": "issue:5538", "right": "issue:8588", "accept": false, - "reason": "Upscale pipeline latent usage issue and missing SD3 conversion script are unrelated." + "reason": "Upscale pipeline latent usage question vs missing SD3 conversion script; unrelated." }, { "left": "issue:5777", "right": "issue:8567", "accept": false, - "reason": "PixArt DreamBooth training error and SD3 training objective question are different model/training issues." + "reason": "PixArt DreamBooth training error vs question about SD3 training objective; different topics entirely." }, { "left": "issue:11653", "right": "issue:8579", "accept": false, - "reason": "Both are LoRA-related, but one is about .alpha keys from OneTrainer and the other is broad SD3 LoRA non-functionality; not the same bug." + "reason": "Both are LoRA support problems, but HiDream `.alpha` key compatibility and SD3 LoRA non-functional are different model-specific issues." }, { "left": "issue:12012", "right": "issue:12610", "accept": false, - "reason": "Both mention offloading-like behavior, but one is a first-block cache context error and the other is a device-mismatch error under Quanto + group offload." + "reason": "Wan 2.2 first-block cache context error vs Quanto+group-offload device mismatch; both involve execution state, but not the same bug." }, { "left": "issue:1746", "right": "issue:2412", "accept": false, - "reason": "Flax stable-diffusion pipeline error and DreamBooth error are unrelated." + "reason": "Flax Stable Diffusion error vs DreamBooth error; too vague and not tied to the same code path." }, { "left": "issue:4616", "right": "issue:5441", "accept": false, - "reason": "SDXL LoRA conversion failure and Wuerstchen prior attn_processors absence are different training utilities." + "reason": "SDXL LoRA conversion script failure vs Wuerstchen prior script missing attn processors; both affect LoRA tooling but are different scripts/problems." }, { "left": "issue:6250", "right": "issue:7574", "accept": false, - "reason": "Both are KeyError/loading issues, but they refer to different keys and different components, so not the same defect." + "reason": "SDXL VAE single-file `KeyError` vs checkpoint key `middle_block_out.0.weight`; both are loading-key issues but not the same missing key or loader bug." }, { "left": "issue:2392", "right": "issue:3040", "accept": false, - "reason": "Prompt_embeds NoneType validation in img2img is unrelated to a docs-copying AttributeError." - }, - { - "left": "issue:11872", - "right": "issue:13488", - "accept": false, - "reason": "Repeated CPU/GPU moves during loops is a performance inefficiency; diffusers-0.38.0.dev0 breaks offloading more generally, but these are not the same concrete bug." + "reason": "Img2Img `prompt_embeds` validation bug vs copy-pasted docs causing list `__module__` AttributeError; unrelated." } ] }, @@ -89400,16 +89306,17 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10428", "issue:10460", "issue:11732", + "issue:11872", "issue:12338", "issue:13137", "issue:13386", "issue:1339", - "issue:2035", + "issue:13488", "issue:2163", "issue:2370", "issue:2410", @@ -89433,7 +89340,6 @@ "issue:4753", "issue:4756", "issue:4837", - "issue:490", "issue:4904", "issue:5178", "issue:5339", @@ -89452,6 +89358,7 @@ "issue:9613" ], "soft_pairs": [ + "issue:11872|issue:13488", "issue:2610|issue:4480", "issue:2988|issue:444", "issue:10460|issue:8494", @@ -89474,23 +89381,22 @@ "issue:2370|issue:4756", "issue:4232|issue:8509", "issue:4904|issue:5957", - "issue:5628|issue:7240", - "issue:2035|issue:490" + "issue:5628|issue:7240" ], - "prepared_review_unit_hash": "8fd28eb328ef08f1e98bd54d0f68ebaaba4b7d67afc65bac73816082f9b7772e", + "prepared_review_unit_hash": "e01bb86a98505ef718767972be5f9e94d93b0b5e54460f96a20267d9add49360", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33907, + "serialized_chars": 33908, "estimated_input_tokens": 8477, "estimated_eval_tokens": 17210 }, @@ -89499,156 +89405,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose collection of unrelated bug reports that only share broad topical similarity. None of the soft pairs look like the same underlying issue, so all candidate duplicate links should be rejected.", - "confidence": 0.94, - "canonical_issue_reason": null, + "summary": "No duplicate group emerges from this cluster: the issues are mostly unrelated bugs that only share broad subsystems like offloading, LoRA loading, schedulers, or training scripts. All soft edges should stay separate.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue selected: the items do not share one underlying defect; they span distinct bugs and feature gaps.", "canonical_pr_reason": null, - "best_issue_reason": "issue:11732 is the strongest standalone bug report here: it names a concrete regression, a specific failing API call, and an exact exception message.", + "best_issue_reason": "No global best issue is appropriate for deduplication because there is no single representative bug across this set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:11872", + "right": "issue:13488", + "accept": false, + "reason": "Both involve offloading, but one is a performance inefficiency and the other is a version regression; different underlying bugs." + }, { "left": "issue:2610", "right": "issue:4480", "accept": false, - "reason": "Different problems: one is a local Mac clang setup error, the other is an MPS float16 kernel crash during generation." + "reason": "Both are Mac-related errors, but one is a local build clang issue and the other is an MPS half-precision crash." }, { "left": "issue:2988", "right": "issue:444", "accept": false, - "reason": "Both mention scheduler/inference-step behavior, but one is a crash at equal training/inference steps and the other is an index error only for specific step counts." + "reason": "Both mention scheduler/step edge cases, but they describe different failure conditions and symptoms." }, { "left": "issue:10460", "right": "issue:8494", "accept": false, - "reason": "Unrelated API issues: missing documented model argument versus an unexpected keyword argument in SD3." + "reason": "Different missing/unsupported arguments in different APIs; not the same code-path defect." }, { "left": "issue:3250", "right": "issue:5178", "accept": false, - "reason": "Different code paths: inability to run a specific pipeline versus a scheduler failure when resolution changes after first run." + "reason": "Both are runtime failures, but one is a pipeline loading error and the other is a scheduler resolution-change bug." }, { "left": "issue:3450", "right": "issue:347", "accept": false, - "reason": "Package/installation metadata issue does not match a broken from_ckpt pipeline behavior." + "reason": "One is a from_ckpt runtime issue; the other is a dependency installation/version resolution problem." }, { "left": "issue:5339", "right": "issue:8752", "accept": false, - "reason": "Both involve loading models, but one is a local safetensor loading complaint and the other is offline single-file loading for SDXL." + "reason": "Both concern loading local/offline models, but the reported errors and contexts are different." }, { "left": "issue:6457", "right": "issue:8296", "accept": false, - "reason": "Different training concerns: multi-GPU gradient accumulation versus resume checkpoint global-step confusion." + "reason": "Both touch training/resume behavior, but one is about multi-GPU gradient accumulation and the other about checkpoint global-step bookkeeping." }, { "left": "issue:10428", "right": "issue:8429", "accept": false, - "reason": "Different failures: Ascend NPU Flux inference error versus I2VGen-XL official inference script malfunction." + "reason": "Both are inference-script problems, but for different models and different failures." }, { "left": "issue:3958", "right": "issue:4279", "accept": false, - "reason": "Both are LoRA-related, but one is CPU offload compatibility and the other is SDXL 0.9 CivitAI LoRA loading." + "reason": "Both involve CivitAI LoRAs, but one is an offload interaction and the other is an SDXL LoRA loading failure." }, { "left": "issue:3194", "right": "issue:6870", "accept": false, - "reason": "Package metadata installation error is unrelated to a VAE tiling API missing in image-to-image/inpaint pipelines." + "reason": "Completely unrelated: bitsandbytes package metadata vs missing VAE tiling support." }, { "left": "issue:4753", "right": "issue:9163", "accept": false, - "reason": "Different DreamBooth-LoRA training bugs with no evidence they are the same tensor issue." + "reason": "Both are training-script bugs, but they are different scripts with different tensor errors." }, { "left": "issue:2581", "right": "issue:4488", "accept": false, - "reason": "Conversion between ControlNet formats is unrelated to SDXL checkpoint loading without specifying pipeline_class." + "reason": "Both concern checkpoint conversion/loading, but they target different model families and different workflows." }, { "left": "issue:4101", "right": "issue:4837", "accept": false, - "reason": "Both are conversion failures, but they target different model types and likely different conversion paths." + "reason": "Both are conversion failures, but one is ControlNet conversion and the other is SDXL original-checkpoint conversion." }, { "left": "issue:12338", "right": "issue:13386", "accept": false, - "reason": "Different bugs: AutoencoderDC slicing/decoding multiple images versus tensor concatenation crashes in a Qwen DreamBooth LoRA training script." + "reason": "Both are tensor-related bugs, but one is VAE slicing decoding and the other is prior-preservation concatenation in a training script." }, { "left": "issue:2163", "right": "issue:2410", "accept": false, - "reason": "Training dtype mismatch in PyTorch text-to-image is unrelated to missing flax/pytorch output artifacts in the Flax script." + "reason": "Different training pipelines and different failures: dtype mismatch vs missing output artifacts." }, { "left": "issue:4376", "right": "issue:4664", "accept": false, - "reason": "Similar subject matter (textual inversion/LoRA on SDXL) but different failing operations and pipelines; not the same concrete bug." + "reason": "Different SDXL loading paths and different feature failures: textual inversion vs LoRA loading." }, { "left": "issue:5365", "right": "issue:9613", "accept": false, - "reason": "Different timestep-related errors: one in txt2video num_inference_steps handling, the other a Timesteps.scale attribute regression on custom models." + "reason": "Both mention timestep-related errors, but the failures and affected code paths are different." }, { "left": "issue:11732", "right": "issue:13137", "accept": false, - "reason": "Both involve LoRA loading, but the reported errors are different: tuple-unpack regression versus a Flux 2 Klein LoKr-specific failure." + "reason": "Both involve LoRA loading, but one is a generic unpacking regression and the other is a LoKr-specific Flux 2 error." }, { "left": "issue:1339", "right": "issue:3149", "accept": false, - "reason": "General non-determinism reports, but one is seed reproducibility and the other is a specific diffusers version regression; too broad to merge." + "reason": "Both mention nondeterminism, but the reports are too broad and do not point to the same concrete bug." }, { "left": "issue:2370", "right": "issue:4756", "accept": false, - "reason": "A GPU memory/capacity question is not the same as SDXL LoRA training script support." + "reason": "Unrelated training questions/features: GPU feasibility vs adding an SDXL training script." }, { "left": "issue:4232", "right": "issue:8509", "accept": false, - "reason": "Instruct-pix2pix training/inference code request is unrelated to a ControlNet++ topic placeholder." + "reason": "Different requests around controlnet/instruct-pix2pix and a separate controlnet++ issue." }, { "left": "issue:4904", "right": "issue:5957", "accept": false, - "reason": "Modularization request is unrelated to LoRACompatibleConv padding_mode behavior." + "reason": "Unrelated feature requests in different components: GLIGEN modularization vs LoRA-compatible convolution padding behavior." }, { "left": "issue:5628", "right": "issue:7240", "accept": false, - "reason": "Scheduler denoising offset bug does not match a low-quality conversion output issue." - }, - { - "left": "issue:2035", - "right": "issue:490", - "accept": false, - "reason": "Both mention artifacts/memory, but one is tiled upscaling artifact quality and the other is a generic memory usage complaint; not the same bug." + "reason": "Scheduler offset behavior is unrelated to low-quality output during LDM conversion." } ] }, @@ -89670,7 +89576,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10121", "issue:10518", @@ -89688,6 +89594,7 @@ "issue:1556", "issue:1643", "issue:1811", + "issue:2035", "issue:2459", "issue:2495", "issue:2534", @@ -89699,9 +89606,9 @@ "issue:460", "issue:4668", "issue:4692", + "issue:490", "issue:4911", "issue:5009", - "issue:5153", "issue:5984", "issue:6154", "issue:6297", @@ -89716,12 +89623,12 @@ "issue:8264", "issue:8609", "issue:8880", - "issue:938", "issue:9611", "issue:9756", "issue:9858" ], "soft_pairs": [ + "issue:2035|issue:490", "issue:2534|issue:5009", "issue:4043|issue:460", "issue:4668|issue:7616", @@ -89744,181 +89651,180 @@ "issue:11104|issue:13286", "issue:8264|issue:8880", "issue:1811|issue:4307", - "issue:3730|issue:7165", - "issue:5153|issue:938" + "issue:3730|issue:7165" ], - "prepared_review_unit_hash": "117b0c38644477d30a509044a71794fcf55bfb3c5aacd51381f0a060e56f5e83", + "prepared_review_unit_hash": "e39619a96f7a55603501ac538162db633932c5086090e05dafdb5020cb54acd9", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33928, - "estimated_input_tokens": 8482, - "estimated_eval_tokens": 17220 + "serialized_chars": 33988, + "estimated_input_tokens": 8497, + "estimated_eval_tokens": 17250 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is highly heterogeneous: it mixes unrelated bugs across Flux, SDXL, WAN, LTX-Video, training notebooks, quantization, loading, and documentation. The soft-similarity links are superficial; none look like the same underlying defect or change.", - "confidence": 0.97, - "canonical_issue_reason": "No canonical issue is safe here: the items span many distinct pipelines, models, and failure modes rather than one duplicate bug.", + "summary": "This set is not a true duplicate cluster: the issues span many unrelated Diffusers bugs/features (Flux, training notebooks, upscaling, ONNX, quantization, batching, etc.). None of the soft pairs look like the same underlying problem.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the items cover distinct pipelines, errors, and feature requests rather than one shared bug.", "canonical_pr_reason": null, - "best_issue_reason": "No single issue is a strong global representative. Issue 10121 is a generic Flux generation report, but it does not unify the rest of the cluster.", + "best_issue_reason": "No single best issue; the pool is heterogeneous, so there is no representative duplicate target to anchor on.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2035", + "right": "issue:490", + "accept": false, + "reason": "Both are memory/quality complaints around upscaling vs general memory usage, but they describe different pipelines and failure modes." + }, { "left": "issue:2534", "right": "issue:5009", "accept": false, - "reason": "Different problems: scheduler-selection error vs a Wuerstchen issue; no shared code path implied." + "reason": "Scheduler-selection error and a Wuerstchen error are unrelated model/path failures." }, { "left": "issue:4043", "right": "issue:460", "accept": false, - "reason": "SDXL prompt-embed tensor requirement vs ONNX runtime dependency; unrelated subsystems." + "reason": "SDXL pooled-embed requirement is a model-input constraint, not the ONNX CPU/CUDA dependency issue." }, { "left": "issue:4668", "right": "issue:7616", "accept": false, - "reason": "Both mention bad image output, but one is Kohya-style LoRA artifacts and the other is low-denoise Playground 2.5 artifacts; different model/pathology." + "reason": "Both mention bad images, but one is LoRA training artifacts and the other is low-denoise img2img artifacts; different causes and code paths." }, { "left": "issue:10526", "right": "issue:10958", "accept": false, - "reason": "Quantization constructor TypeError vs meta-tensor copy failure; distinct runtime issues." + "reason": "FP8 quantization TypeError and meta-tensor copy failure are distinct initialization/weight-loading problems." }, { "left": "issue:10518", "right": "issue:11083", "accept": false, - "reason": "A notebook/script typo or logic issue is not the same as a torch-DDP stride-mismatch warning." + "reason": "A notebook script bug and a DDP stride-mismatch warning are unrelated." }, { "left": "issue:1434", "right": "issue:4692", "accept": false, - "reason": "Both are memory-related, but one is an upscale OOM and the other is a UNet memory question; not the same bug." + "reason": "Upscaling OOM and UNet memory concerns are both memory-related but not the same concrete bug." }, { "left": "issue:1534", "right": "issue:696", "accept": false, - "reason": "Dreambooth notebook error vs general CUDA OOM during dreambooth training; too broad and not the same failure." + "reason": "Dreambooth notebook error and generic Dreambooth OOM are different training issues." }, { "left": "issue:1643", "right": "issue:2459", "accept": false, - "reason": "Different xformers-related failures in different scripts and versions; not clearly the same concrete bug." + "reason": "Both involve xformers calls, but they refer to different training scripts and likely different API mismatches." }, { "left": "issue:6732", "right": "issue:9756", "accept": false, - "reason": "Documentation gap for DDPMScheduler vs missing notebook file; unrelated." + "reason": "Documentation for a scheduler parameter and a missing notebook file are unrelated." }, { "left": "issue:11160", "right": "issue:11222", "accept": false, - "reason": "WAN 2.1 inference inconsistency vs adding support for more WAN LoRAs; separate tasks." + "reason": "WAN I2V inference inconsistency and support for more WAN LoRAs are different feature/problem requests." }, { "left": "issue:6154", "right": "issue:9858", "accept": false, - "reason": "M2 Mac SDXL LoRA training problem vs KeyError 'train' in a config/loading path; different root causes." + "reason": "SDXL training on M2 and a KeyError on 'train' are unrelated notebook/script failures." }, { "left": "issue:10594", "right": "issue:11886", "accept": false, - "reason": "Multiple-controls-with-LoRA FLUX issue vs FluxKontextPipeline issue; same ecosystem, different concrete behavior." + "reason": "Multiple-control LoRA usage and FluxKontextPipeline issues are different pipeline-specific bugs." }, { "left": "issue:1556", "right": "issue:2495", "accept": false, - "reason": "Black images on CUDA with NSFW warning vs black images on MPS in upscaling; different hardware/backends and pipelines." + "reason": "Black images on CUDA and black images on MPS in upscale pipeline are superficially similar but platform-specific and not clearly the same bug." }, { "left": "issue:4911", "right": "issue:6880", "accept": false, - "reason": "Custom text_encoder loading failure vs Custom Diffusion retrieve.py issue; not the same underlying defect." + "reason": "Custom text encoder loading and Custom Diffusion retrieve.py are different loading/training issues." }, { "left": "issue:7066", "right": "issue:8609", "accept": false, - "reason": "Feature request about batching multiple img2img inputs vs a custom pipeline/IP-Adapter integration bug." + "reason": "Batch img2img usage and custom hd_painter/IP-Adapter incompatibility are unrelated." }, { "left": "issue:10121", "right": "issue:9611", "accept": false, - "reason": "High-resolution Flux generation limit vs Flux img2img/inpaint batching error; different pipelines and symptoms." + "reason": "High-resolution Flux1-dev generation and Flux batching errors are different Flux problems." }, { "left": "issue:2800", "right": "issue:7333", "accept": false, - "reason": "DiffEdit semantic editing vs a tuning-free noise-rectification I2V method; unrelated model families." + "reason": "DiffEdit semantic editing and an image-to-video rectification paper/topic are not duplicates." }, { "left": "issue:4149", "right": "issue:6570", "accept": false, - "reason": "SemanticStableDiffusion batch dimension mismatch vs SDXL InstructPix2Pix tensor-size mismatch; similar shape errors but different code paths." + "reason": "SemanticStableDiffusion batch dimension mismatch and SDXL InstructPix2Pix tensor-size mismatch are separate shape bugs." }, { "left": "issue:5984", "right": "issue:6297", "accept": false, - "reason": "SDXL fp16 RAM issue during training vs inability to train on photos; different training/runtime problems." + "reason": "Colab RAM issue in an SDXL LoRA notebook and inability to train on photos are distinct training complaints." }, { "left": "issue:11104", "right": "issue:13286", "accept": false, - "reason": "LTX-Video offload methods broken vs torchao quantization support; unrelated features." + "reason": "Broken LTX-Video offload methods and torchao quantization support are different subsystems." }, { "left": "issue:8264", "right": "issue:8880", "accept": false, - "reason": "Training stuck at 0% vs inference speed regression across versions; not the same bug." + "reason": "Training stalled at 0% and inference slowdown across versions are different performance/stability issues." }, { "left": "issue:1811", "right": "issue:4307", "accept": false, - "reason": "Both involve from_pretrained, but one is dual weight-file selection and the other is local_files_only loading behavior; different issues." + "reason": "Weight file selection behavior and local_files_only loading errors are different from_pretrained problems." }, { "left": "issue:3730", "right": "issue:7165", "accept": false, - "reason": "Inpainting blending timestep bug vs Jax dynamic-thresholding scale bug; different implementations and failure modes." - }, - { - "left": "issue:5153", - "right": "issue:938", - "accept": false, - "reason": "FreeU feature discussion vs Human Motion Diffusion Model topic; no overlap." + "reason": "Wrong inpainting blending timestep and JAX dynamic thresholding scale are unrelated algorithmic issues." } ] }, @@ -89940,7 +89846,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10121", "issue:1037", @@ -89956,12 +89862,10 @@ "issue:1403", "issue:1486", "issue:2319", - "issue:2663", "issue:3089", "issue:3431", "issue:3573", "issue:3593", - "issue:3761", "issue:4104", "issue:4484", "issue:4668", @@ -89969,6 +89873,7 @@ "issue:5125", "issue:5126", "issue:5135", + "issue:5153", "issue:5225", "issue:5412", "issue:5537", @@ -89988,10 +89893,12 @@ "issue:9180", "issue:9225", "issue:9241", + "issue:938", "issue:9539", "issue:9677" ], "soft_pairs": [ + "issue:5153|issue:938", "issue:5412|issue:6366", "issue:5537|issue:9180", "issue:5703|issue:8323", @@ -90014,187 +89921,186 @@ "issue:10697|issue:7440", "issue:1403|issue:4668", "issue:1486|issue:3089", - "issue:2319|issue:709", - "issue:2663|issue:3761" + "issue:2319|issue:709" ], - "prepared_review_unit_hash": "a0cd6b4cd6c86e4ffb1e1d3bc515e9bb260fbda7c73da6a39b36aaa1ffe1548d", + "prepared_review_unit_hash": "f28184cd2d96dff11a98fd1613b81ee8d015c28a020308ac51698e9b32dc364a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33893, - "estimated_input_tokens": 8474, - "estimated_eval_tokens": 17204 + "serialized_chars": 33846, + "estimated_input_tokens": 8462, + "estimated_eval_tokens": 17180 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Only one soft pair looks like the same underlying bug: SDXL LoRA training checkpoint/resume loading. The rest are separate issues despite superficial overlap in model names or subsystem.", - "confidence": 0.78, - "canonical_issue_reason": "issue:6366 is the strongest canonical issue: it is the most complete report of the checkpoint-loading/resume bug affecting the SDXL LoRA training scripts, and it subsumes the narrower failure described in issue:5412.", + "summary": "This cluster is mostly unrelated single issues spanning different models, schedulers, and training scripts. The only plausible duplicate pair is the SDXL LoRA checkpoint-resume/load bug (5412 and 6366).", + "confidence": 0.68, + "canonical_issue_reason": "issue:6366 is the clearest representative of the overlapping SDXL DreamBooth LoRA checkpoint-loading/resume failure and covers both affected scripts.", "canonical_pr_reason": null, - "best_issue_reason": "issue:6366 is the best representative issue for this cluster because it clearly describes the core checkpoint-loading problem with concrete affected scripts and reproduction context.", + "best_issue_reason": "issue:6366 has the broadest, most explicit description of the underlying checkpoint bug and best matches the accepted duplicate pair.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:5153", + "right": "issue:938", + "accept": false, + "reason": "Different features and domains: FreeU in diffusion U-Net vs a community human-motion pipeline." + }, { "left": "issue:5412", "right": "issue:6366", "accept": true, - "reason": "Both describe the same checkpoint/resume loading failure in SDXL LoRA training scripts; 6366 is the broader, more detailed version." + "reason": "Both report SDXL DreamBooth LoRA checkpoint/resume loading failures in the same training code path." }, { "left": "issue:5537", "right": "issue:9180", "accept": false, - "reason": "One is an SDXL notebook failing, the other is a pipeline attribute error; the symptoms and code paths are unrelated." + "reason": "Notebook/template failure vs a pipeline execution-device attribute error; not the same bug." }, { "left": "issue:5703", "right": "issue:8323", "accept": false, - "reason": "DDIM inverse reconstruction and scheduler file recognition are different scheduler problems with no clear shared failure mode." + "reason": "Different scheduler problems with no clear shared code path or symptom." }, { "left": "issue:9101", "right": "issue:9241", "accept": false, - "reason": "These are different feature requests/scripts: SD3 InstructPix2Pix training versus an XLab-to-diffusers LoRA conversion script." + "reason": "Training-script request vs LoRA conversion script; unrelated changes." }, { "left": "issue:5125", "right": "issue:7575", "accept": false, - "reason": "XFormers CUDA kernel configuration failure and an adanorm Transformer2DModel shape error are distinct bugs." + "reason": "Both are runtime errors, but they affect different components and failure modes (xformers attention vs Transformer2DModel/adanorm)." }, { "left": "issue:3431", "right": "issue:4484", "accept": false, - "reason": "Both mention poor/wierd image results, but they concern different pipelines and training setups, so they are not the same bug." + "reason": "Both mention bad results with ControlNet/LoRA, but the models and failure descriptions are too different to be the same bug." }, { "left": "issue:4104", "right": "issue:8450", "accept": false, - "reason": "Black-image output with casting warnings is not the same concrete issue as SDXL inpaint noise at strength=1.0." + "reason": "Generic black/noisy output vs a specific SDXL inpaint strength=1.0 issue; not enough evidence of one underlying defect." }, { "left": "issue:3573", "right": "issue:3593", "accept": false, - "reason": "A missing class_labels argument in a local upscaler pipeline is unrelated to LoRA+xformers second-call failure." + "reason": "One is a local upscaler class_labels bug; the other is LoRA+xformers second-call failure." }, { "left": "issue:4975", "right": "issue:5135", "accept": false, - "reason": "Repeated datatype queries causing inefficiency is a performance issue, not the same as LoRA quality degradation under xformers." + "reason": "Performance regression in LoRA loading vs quality degradation during inference; different problems." }, { "left": "issue:8503", "right": "issue:8960", "accept": false, - "reason": "Gradient checkpointing crashes in SD3 training and nonfunctional gradient accumulation are different training issues." + "reason": "Gradient checkpointing crash vs nonfunctional gradient accumulation; unrelated training mechanics." }, { "left": "issue:1231", "right": "issue:1367", "accept": false, - "reason": "A Flax K-LMS scheduler issue and a scheduler config-save bug with trained_betas are separate scheduler topics." + "reason": "Scheduler implementation issue in Flax vs saving custom scheduler config; different code paths." }, { "left": "issue:12609", "right": "issue:13311", "accept": false, - "reason": "WAN latent NaNs and FLUX2 LoRA key-mismatch are different model-loading/training failures." + "reason": "WAN NaNs in latents vs Flux2 LoRA key-prefix mismatch; different model families and symptoms." }, { "left": "issue:5126", "right": "issue:5225", "accept": false, - "reason": "A Conv2d forward signature error is unrelated to SDXL VRAM exhaustion during forward pass." + "reason": "Conv2d forward signature error vs SDXL memory/VRAM limit issue; unrelated." }, { "left": "issue:10540", "right": "issue:8898", "accept": false, - "reason": "Both are model loading errors, but one is about Flux Dev single-file loading after Flux Fill support and the other is a from_pretrained subfolder path validation issue." + "reason": "Flux single-file loading regression vs from_pretrained subfolder path validation; not the same bug." }, { "left": "issue:11041", "right": "issue:9539", "accept": false, - "reason": "Group offloading errors in WAN2.1 and float8 index_select CUDA errors in CogVideoX are different code paths and failure types." + "reason": "WAN group-offloading error vs CogVideoX float8 index_select CUDA limitation; different failures." }, { "left": "issue:9178", "right": "issue:9677", "accept": false, - "reason": "Flux LoRA target-module errors and keeping text encoders in fp32 are different Flux training concerns." + "reason": "LoRA PEFT target-module error vs keeping text encoders in fp32; separate Flux training concerns." }, { "left": "issue:10121", "right": "issue:9225", "accept": false, - "reason": "High-resolution Flux1.1-Dev generation and SDXL InstructPix2Pix latent-size mismatch with RGBA images are separate pipeline bugs." + "reason": "High-resolution Flux1-dev generation issue vs RGBA latent-size mismatch in SDXL InstructPix2Pix; different pipelines." }, { "left": "issue:1037", "right": "issue:1140", "accept": false, - "reason": "A community pipeline request and a hypernetworks community issue are not the same underlying change." + "reason": "Community pipeline request vs community hypernetwork topic; not duplicates." }, { "left": "issue:10695", "right": "issue:7061", "accept": false, - "reason": "An DDIMInverseScheduler timestep bug and an incorrect docstring are clearly unrelated." + "reason": "DDIMInverseScheduler timestep bug vs incorrect docstring; unrelated." }, { "left": "issue:10697", "right": "issue:7440", "accept": false, - "reason": "InstructPix2Pix transform inconsistency and a missing dataset are unrelated issues." + "reason": "Random transform mismatch in training vs dataset availability issue; not the same underlying bug." }, { "left": "issue:1403", "right": "issue:4668", "accept": false, - "reason": "Safety checker output differences and Kohya-style LoRA image artifacts are different bugs with different causes." + "reason": "Safety checker output mismatch vs Kohya-style LoRA weird images; too different to merge." }, { "left": "issue:1486", "right": "issue:3089", "accept": false, - "reason": "Both are scheduler bugs, but they concern different schedulers and different computations; not enough to treat as the same issue." + "reason": "Different scheduler bugs (DDIM prediction_type sample vs DDPM bug) with no clear shared fix." }, { "left": "issue:2319", "right": "issue:709", "accept": false, - "reason": "A typo in a loader method and a documentation docstring issue are unrelated." - }, - { - "left": "issue:2663", - "right": "issue:3761", - "accept": false, - "reason": "Safety checker safetensors loading failure and inability to load two community pipelines in one process are different loading bugs." + "reason": "Both are docstring/typo-related, but they concern different methods and are not the same issue." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet, and the one positive soft-pair judgment (issue:5412 with issue:6366) is supported by the issue titles and the stated checkpoint/resume context. The other pairwise rejections are conservative and do not overstate evidence." + "feedback": "The conclusions are grounded in the packet and conservative overall. The only accepted soft pair, issue:5412 with issue:6366, is well supported by their titles describing the same SDXL DreamBooth LoRA checkpoint/resume loading failure. The remaining pair rejections are also appropriately cautious given the mismatch in titles and domains. The summary does not overclaim beyond the available evidence." }, "evaluator_used": true, "retried": false, @@ -90213,13 +90119,13 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:1062", "issue:11144", "issue:1188", "issue:2276", "issue:2560", + "issue:2663", "issue:2716", "issue:2776", "issue:2803", @@ -90229,6 +90135,7 @@ "issue:3585", "issue:3593", "issue:3672", + "issue:3761", "issue:3933", "issue:4310", "issue:4332", @@ -90264,6 +90171,7 @@ "issue:9813" ], "soft_pairs": [ + "issue:2663|issue:3761", "issue:2716|issue:3585", "issue:2776|issue:6363", "issue:3933|issue:7985", @@ -90286,181 +90194,180 @@ "issue:4332|issue:7168", "issue:5967|issue:6112", "issue:7708|issue:8744", - "issue:801|issue:964", - "issue:1062|issue:761" + "issue:801|issue:964" ], - "prepared_review_unit_hash": "7d8a1a7bd71ab5b2dac729ca46cccd8b795ef699071cfc8ca20bca653b361617", + "prepared_review_unit_hash": "c167a4bc79730abadaa4f0e5897c6b38730ffdb25046523e5f8c3bfcc06a2da1", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33116, - "estimated_input_tokens": 8279, - "estimated_eval_tokens": 16814 + "serialized_chars": 33697, + "estimated_input_tokens": 8425, + "estimated_eval_tokens": 17106 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is highly heterogeneous: it mixes LoRA/adapter bugs, DreamBooth training issues, pipeline loading regressions, performance reports, feature requests, and a few unrelated support/documentation items. I do not see any soft pair that is clearly the same underlying bug or change.", - "confidence": 0.21, - "canonical_issue_reason": "Issue #5226 is the most concrete, code-path-specific bug in the set (StableDiffusionXLAdapterPipeline + load_lora_weights), and it is the best single representative if one must be chosen. That said, the cluster as a whole is not cohesive.", + "summary": "This cluster is not a true duplicate set; it groups many superficially similar diffusion/LoRA/IP-Adapter/turbo/loading topics that are actually different bugs, feature requests, and support questions. No soft edge looks like the same concrete underlying issue.", + "confidence": 0.93, + "canonical_issue_reason": "No strong canonical issue exists here because the items span unrelated problem types and code paths. If forced, issue 5226 is one of the clearest concrete bug reports, but it does not subsume the rest of the cluster.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #5226 is the strongest standalone bug report here: specific pipeline, specific failure mode, and actionable implementation context. It is more suitable as a canonical anchor than the feature requests, questions, or broad meta issues.", + "best_issue_reason": "Issue 5226 is the most self-contained and actionable bug report among the set, but the cluster is too heterogeneous for it to serve as a true representative canonical issue.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:2663", + "right": "issue:3761", + "accept": false, + "reason": "Both are loading-related, but one is a safety-checker file handling bug and the other is a multi-community-pipeline process issue; different code paths." + }, { "left": "issue:2716", "right": "issue:3585", "accept": false, - "reason": "Checkpoint-loading question vs. LoRA synthesis failure; different problems and code paths." + "reason": "A generic checkpoint-loading question is not the same as a specific LoRA synthesis failure." }, { "left": "issue:2776", "right": "issue:6363", "accept": false, - "reason": "DreamBooth/DeepSpeed runtime setup issue vs. FP16 gradient unscale error during LoRA training; distinct failures." + "reason": "Both concern training, but one is DeepSpeed/ZeRO setup and the other is FP16 gradient unscaling; unrelated failures." }, { "left": "issue:3933", "right": "issue:7985", "accept": false, - "reason": "Graph-compile logging issue vs. IP-Adapter torch.compile incompatibility; unrelated mechanisms." + "reason": "Both mention torch.compile, but one is a logging-side graph break while the other is an IP-Adapter incompatibility." }, { "left": "issue:4310", "right": "issue:4453", "accept": false, - "reason": "SDXL scanline artifacts vs. converting SDXL LoRA to safetensors; unrelated bug vs. usage question." + "reason": "SDXL artifact quality and LoRA conversion advice are unrelated." }, { "left": "issue:5205", "right": "issue:6640", "accept": false, - "reason": "Repaint/ControlNet/LoRA/text inversion request vs. adding LoRA to Unet3DConditional; different features and models." + "reason": "Both mention LoRA, but they target different pipelines and different functionality." }, { "left": "issue:5925", "right": "issue:9610", "accept": false, - "reason": "ZipLora multi-LoRA feature request vs. adding load_lora_weights to SD3 img2img; related theme but not the same change." + "reason": "Both are LoRA-related feature requests, but they are different requests on different pipelines and not the same bug/change." }, { "left": "issue:761", "right": "issue:835", "accept": false, - "reason": "DreamBooth 8-bit Adam training failure vs. flax numpy_to_pil output bug; unrelated components." + "reason": "DreamBooth optimizer failure and flax numpy_to_pil output handling are unrelated." }, { "left": "issue:4593", "right": "issue:8885", "accept": false, - "reason": "A1111 LoRA rank mismatch vs. clip-retrieval install/modifier-token loading issue; different underlying problems." + "reason": "Both involve loading LoRA/custom-diffusion assets, but one is a rank constraint error and the other is a Colab installation/modifier-token problem." }, { "left": "issue:9178", "right": "issue:9439", "accept": false, - "reason": "FLUX LoRA training target-module error vs. inconsistent FLUX loading behavior; same family but different bug locations." + "reason": "Both are Flux-related, but one is a PEFT target-module training error and the other is inconsistent loading behavior." }, { "left": "issue:9539", "right": "issue:9717", "accept": false, - "reason": "CogVideoX Float8 index_select runtime error vs. Flux-dev docker image error; unrelated issues." + "reason": "One is a Float8 CUDA operator failure in CogVideoX; the other is a Flux docker-image error." }, { "left": "issue:1188", "right": "issue:319", "accept": false, - "reason": "CLIPSeg+Stable Diffusion pipeline request vs. VQ-Diffusion topic; different feature requests." + "reason": "Different feature requests for different models; no shared underlying bug." }, { "left": "issue:2276", "right": "issue:3593", "accept": false, - "reason": "DreamBooth xformers installation problem vs. LoRA+xformers second-call runtime bug; installation vs. execution." + "reason": "xformers installation on Colab is not the same as xformers misbehavior during a second LoRA pipeline call." }, { "left": "issue:2560", "right": "issue:3347", "accept": false, - "reason": "List-of-generators nondeterminism in img2img vs. NaN image output in text-to-image; distinct numerical bugs." + "reason": "Different output-correctness issues in different pipelines with no clear shared root cause." }, { "left": "issue:3073", "right": "issue:5046", "accept": false, - "reason": "Consistency-models request vs. DragonDiffusion announcement; both are feature/news items, not the same issue." + "reason": "Separate model requests; one asks for consistency models, the other is a DragonDiffusion announcement." }, { "left": "issue:3672", "right": "issue:785", "accept": false, - "reason": "Concurrent inference failure vs. PNDMScheduler performance cost; different problem class entirely." + "reason": "Thread-safety failure and scheduler performance cost are unrelated." }, { "left": "issue:5226", "right": "issue:5516", "accept": false, - "reason": "Both involve LoRA with adapter-style pipelines, but they name different pipeline classes and likely different fixes; not safe to merge as duplicates." + "reason": "Both are LoRA pipeline problems, but the pipelines and failure modes differ; not enough evidence of the same code-path bug." }, { "left": "issue:7766", "right": "issue:9813", "accept": false, - "reason": "How-to question about IP-Adapter FaceID Plus vs. a concrete batch-processing bug in prepare_ip_adapter_image_embeds." + "reason": "A usage question about FaceID Plus is not the same as a batch-processing feature-mixing bug." }, { "left": "issue:11144", "right": "issue:9171", "accept": false, - "reason": "Flax UNet dtype initialization bug vs. from_single_file v_prediction regression; different components and failure modes." + "reason": "Flax dtype initialization and from_single_file v_prediction handling are different issues." }, { "left": "issue:2803", "right": "issue:579", "accept": false, - "reason": "Local docs build on WSL2 vs. missing config.json in textual inversion; unrelated." + "reason": "Docs build failure on WSL2 and missing config.json for textual inversion are unrelated." }, { "left": "issue:4332", "right": "issue:7168", "accept": false, - "reason": "xformers failure in Kandinsky2.2 pipeline vs. IP-Adapter image-embed shape question; different pipelines and symptoms." + "reason": "xformers on Kandinsky2.2 and IP-Adapter image-embed shape issues are different bugs." }, { "left": "issue:5967", "right": "issue:6112", "accept": false, - "reason": "Stable Diffusion Turbo announcement vs. SDXL Turbo noise complaint; release/news vs. usage bug." + "reason": "An announcement and a downstream quality complaint about sdxl-turbo are not duplicate reports." }, { "left": "issue:7708", "right": "issue:8744", "accept": false, - "reason": "Missing tokenizer/config.json for SDXL base vs. request to use load-from-single-file for training; distinct topics." + "reason": "Missing tokenizer config during model loading is unrelated to single-file training support." }, { "left": "issue:801", "right": "issue:964", "accept": false, - "reason": "Attention slicing not honored in inpaint/img2img vs. inpainting example not working; broader example failure is not the same underlying bug." - }, - { - "left": "issue:1062", - "right": "issue:761", - "accept": false, - "reason": "DreamBooth paper-results complaint vs. DreamBooth 8-bit Adam optimizer failure; different training issues." + "reason": "Both are inpainting-related, but one is about attention slicing behavior and the other is an example not working; insufficient evidence of the same bug." } ] }, @@ -90482,9 +90389,10 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10209", + "issue:1062", "issue:10795", "issue:11083", "issue:11389", @@ -90520,19 +90428,19 @@ "issue:5138", "issue:5300", "issue:5977", - "issue:6196", "issue:6535", "issue:6574", "issue:6958", "issue:7009", "issue:7147", + "issue:761", "issue:776", "issue:7889", "issue:8588", - "issue:9044", - "issue:9495" + "issue:9044" ], "soft_pairs": [ + "issue:1062|issue:761", "issue:6535|issue:6574", "issue:4014|issue:457", "issue:12047|issue:12085", @@ -90555,181 +90463,180 @@ "issue:4171|issue:5300", "issue:447|issue:4496", "issue:4708|issue:5300", - "issue:5977|issue:6958", - "issue:6196|issue:9495" + "issue:5977|issue:6958" ], - "prepared_review_unit_hash": "b67692fd1f3238d46619bbdd5175839c9831ab847457067953703d48799a3099", + "prepared_review_unit_hash": "863f46c1b802f7e1304862ef9e21343e0f2b783294468379ab7cf9b817cf49fd", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33006, - "estimated_input_tokens": 8252, - "estimated_eval_tokens": 16760 + "serialized_chars": 33020, + "estimated_input_tokens": 8255, + "estimated_eval_tokens": 16766 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is not a coherent duplicate cluster: it mixes unrelated issues across model loading, scheduler behavior, docs, training, UI/docs, and backend-specific bugs. None of the soft-edge pairs look like the same underlying bug or change.", - "confidence": 0.96, - "canonical_issue_reason": "No single canonical issue fits the whole set. If forced to pick the closest anchor, issue #7889 is the broadest open report about single-file/GGUF loading bugs, but it only matches a small subset of these items.", + "summary": "This cluster does not look like a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and model-specific problems. The suggested soft pairs mostly share only generic terms (e.g. black images, docs, GGUF, training) and do not appear to describe the same underlying change or failure mode.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10795 is the strongest standalone bug report here: it is detailed, open, and tied to a concrete code path (`from_single_file` + GGUF + `torch.compile`).", "canonical_pr_reason": null, - "best_issue_reason": "Issue #7889 is the best anchor because it is open, broad, and directly about `single_file_utils.py` / single-file model loading, which is the nearest shared theme among the GGUF/loading-related reports.", + "best_issue_reason": "issue:10795 is the most actionable and specific issue in the set, with enough detail to serve as the best representative if one must be chosen.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1062", + "right": "issue:761", + "accept": false, + "reason": "Both are DreamBooth training complaints, but one is about reproducing paper results and the other about 8-bit Adam failure; different bugs." + }, { "left": "issue:6535", "right": "issue:6574", "accept": false, - "reason": "Scheduler-change request vs a warning about input tensor range in SVD; related area, but not the same bug." + "reason": "One is a feature request to change the scheduler; the other is a warning about SVD input range. Different problems." }, { "left": "issue:4014", "right": "issue:457", "accept": false, - "reason": "SDXL watermark artifacts and MPS blue artifacts are different image-quality problems on different code paths." + "reason": "Both mention visual artifacts, but the pipelines, device contexts, and artifact types differ; not the same bug." }, { "left": "issue:12047", "right": "issue:12085", "accept": false, - "reason": "Both mention GGUF, but one is Lightx2v LoRA fusion on Wan2.2 and the other is loading WanVACETransformer3DModel; different failures." + "reason": "Both involve GGUF, but one is LoRA fusion on Wan2.2 and the other is model loading on WanVACE; distinct code paths." }, { "left": "issue:13274", "right": "issue:9044", "accept": false, - "reason": "AMD recursion error in stable-audio-open is unrelated to the SDXL missing-file OSError." + "reason": "Completely different failures: AMD recursion error vs missing SDXL weight file." }, { "left": "issue:10795", "right": "issue:12096", "accept": false, - "reason": "torch.compile on GGUF-loaded transformer models vs apply_group_offloading on WanVACEPipeline; different subsystems and symptoms." + "reason": "`torch.compile` with GGUF loading and `apply_group_offloading` are separate runtime paths and failure modes." }, { "left": "issue:10209", "right": "issue:7009", "accept": false, - "reason": "CogVideoX fine-tuning error and TextToVideoSDPipeline quality issues are separate model/pipeline problems." + "reason": "Different model families and symptoms; one is a fine-tuning error, the other is poor generation quality on a text-to-video pipeline." }, { "left": "issue:11083", "right": "issue:8588", "accept": false, - "reason": "DDP stride-mismatch warning is unrelated to a missing conversion script file." + "reason": "DDP stride mismatch warning is unrelated to a missing conversion script." }, { "left": "issue:11389", "right": "issue:12437", "accept": false, - "reason": "Scheduler refactor request and OmniSVG support request are unrelated feature topics." + "reason": "Scheduler refactor request vs feature support request for a model; no shared bug/change." }, { "left": "issue:11569", "right": "issue:12120", "accept": false, - "reason": "Repo request for LTXV distilled model vs training a LoRA on Flux Schnell; not the same change or bug." + "reason": "Both are model-usage questions, but one asks for a repo and the other asks about LoRA training; not duplicates." }, { "left": "issue:1614", "right": "issue:2179", "accept": false, - "reason": "Both mention black outputs, but one is stable diffusion autocast on PyTorch and the other is a Flax scheduler issue; different root causes." + "reason": "Both mention black outputs, but they are on different frameworks/backends and likely different root causes." }, { "left": "issue:1823", "right": "issue:2871", "accept": false, - "reason": "Swapped comments in depth2img is unrelated to latent output handling in inpainting." + "reason": "Depth2img comment swap is unrelated to latent output handling in inpainting." }, { "left": "issue:1857", "right": "issue:776", "accept": false, - "reason": "UnCLIP testing concern vs batch-size>1 image-to-image breakage; not the same bug." + "reason": "Poor testing of UnCLIP is not the same as batch_size>1 image-to-image breakage." }, { "left": "issue:2416", "right": "issue:4841", "accept": false, - "reason": "Training slowdown with xformers and ControlNet image-size behavior are unrelated." + "reason": "Training slowdown with xformers vs ControlNet image-size issue are unrelated." }, { "left": "issue:2596", "right": "issue:2761", "accept": false, - "reason": "Missing doc symbol `load_image` and missing docs for `extra_in_channels` are separate documentation issues." + "reason": "Both are documentation issues, but they concern different symbols and topics." }, { "left": "issue:2803", "right": "issue:7147", "accept": false, - "reason": "WSL2 docs build failure vs missing StableCascadeDecoderPipeline import; different problems." + "reason": "Docs build on WSL2 and import failure for StableCascade are unrelated." }, { "left": "issue:3097", "right": "issue:3540", "accept": false, - "reason": "`load_textual_inversion` doing nothing and prompt-embed handling in TextToVideoZero are different pipeline bugs." + "reason": "Different pipelines and API surfaces; no evidence of the same defect." }, { "left": "issue:3455", "right": "issue:5138", "accept": false, - "reason": "Training-pipeline behavior for instruct-pix2pix vs a training utility refactor request; not the same underlying change." + "reason": "One is a training workflow request, the other is moving a helper function to training utils." }, { "left": "issue:3565", "right": "issue:7889", "accept": false, - "reason": "Text-to-image training OOM is unrelated to single-file checkpoint loading bugs." + "reason": "OOM during example training is not the same as `load_single_file_model_checkpoint` bugs." }, { "left": "issue:3967", "right": "issue:4578", "accept": false, - "reason": "Deleted-branch regression and a VAE doc issue are unrelated." + "reason": "Branch/dependency breakage vs documentation typo; different issues." }, { "left": "issue:4171", "right": "issue:5300", "accept": false, - "reason": "Homepage reference-page rendering and unwanted internet access are unrelated." + "reason": "Homepage reference-page rendering vs unwanted internet access; unrelated." }, { "left": "issue:447", "right": "issue:4496", "accept": false, - "reason": "Prompt truncation detection is not the same as prompt fusion." + "reason": "Prompt truncation detection and prompt fusion are different prompt-related features, not the same bug." }, { "left": "issue:4708", "right": "issue:5300", "accept": false, - "reason": "Import error in `diffusers.utils` and network access behavior are unrelated." + "reason": "Import error in `diffusers.utils` is unrelated to network connectivity behavior." }, { "left": "issue:5977", "right": "issue:6958", "accept": false, - "reason": "LoRA checkpoint key naming and `use_linear_projection` placement in motion UNet are different code-path bugs." - }, - { - "left": "issue:6196", - "right": "issue:9495", - "accept": false, - "reason": "ControlNetXS loading failure and SDXL PAG/IPAdapter malfunction are separate pipeline issues." + "reason": "LoRA key-saving behavior and motion model block configuration are unrelated problems." } ] }, @@ -90751,18 +90658,16 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1037", "issue:10569", "issue:10901", "issue:11422", "issue:1750", - "issue:1814", "issue:2272", "issue:2578", "issue:2774", - "issue:2782", "issue:4176", "issue:4297", "issue:4375", @@ -90778,6 +90683,7 @@ "issue:5824", "issue:5924", "issue:6054", + "issue:6196", "issue:6218", "issue:6275", "issue:6323", @@ -90800,9 +90706,11 @@ "issue:9336", "issue:9350", "issue:9398", + "issue:9495", "issue:9813" ], "soft_pairs": [ + "issue:6196|issue:9495", "issue:7985|issue:9336", "issue:6336|issue:7378", "issue:5619|issue:9350", @@ -90825,187 +90733,180 @@ "issue:7421|issue:7946", "issue:11422|issue:8589", "issue:5449|issue:6791", - "issue:10569|issue:10901", - "issue:1814|issue:2782" + "issue:10569|issue:10901" ], - "prepared_review_unit_hash": "241f2db0b793c53d4e4691b0dd5ec4580a8e8a4b85ab3ca1df8ecc6755d559de", + "prepared_review_unit_hash": "03195c772ee8828c098f0a5e05daf81163ee48b210e9b40840d776c9c120a278", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 34049, - "estimated_input_tokens": 8513, - "estimated_eval_tokens": 17282 + "serialized_chars": 34063, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is a heterogeneous issue pile, not a coherent duplicate cluster. The soft pairs mostly share only a subsystem or keyword and do not describe the same concrete bug/change, so all soft edges should be rejected.", - "confidence": 0.93, - "canonical_issue_reason": "No single issue cleanly represents the cluster; the items span unrelated topics such as IP-Adapter, schedulers, training, packaging, memory/OOM, and torch.compile.", + "summary": "This is not a single duplicate cluster; the issues span unrelated pipelines, models, training scripts, conversion tools, and runtime errors. All soft-edge pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug or change path.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 9813 is the most concrete and recent bug report in the set, but only as a loose anchor for the noisy IP-Adapter subgroup\u2014not as a true duplicate canonical.", + "best_issue_reason": "No clear best issue for duplicate anchoring because there is no cohesive problem cluster; the reports are mostly unrelated.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:6196", + "right": "issue:9495", + "accept": false, + "reason": "Different bugs in different IP-Adapter/ControlNet-related paths: ControlNetXS Depth SDXL loading vs SDXL PAG with IPAdapter." + }, { "left": "issue:7985", "right": "issue:9336", "accept": false, - "reason": "Both mention IP-Adapter/torch.compile, but one is a compile-compatibility complaint and the other is about parameters unexpectedly requiring grad; not the same bug." + "reason": "Both mention IP-Adapter, but one is a torch.compile compatibility issue and the other is requires_grad behavior in attention layers." }, { "left": "issue:6336", "right": "issue:7378", "accept": false, - "reason": "Both involve VAE/runtime behavior, but one is a TensorRT AutoencoderTiny compile error and the other is AnimateDiff decoding memory usage; different code paths and failures." + "reason": "TensorRT VAE compilation with AutoencoderTiny is unrelated to AnimateDiff video-to-video memory usage." }, { "left": "issue:5619", "right": "issue:9350", "accept": false, - "reason": "LCM img2img/image encode vs txt_ids deprecation warning; these are unrelated pipeline issues." + "reason": "AutoencodeTiny img2img encoding bug and txt_ids deprecation are different code paths and symptoms." }, { "left": "issue:1750", "right": "issue:2578", "accept": false, - "reason": "Debian VM symbol resolution vs editable-install packaging failure; different environments and root causes." + "reason": "Debian VM symbol resolution failure is unrelated to editable-install import/setup problems." }, { "left": "issue:5645", "right": "issue:6275", "accept": false, - "reason": "Both are model-support reports, but one is broken LCM core support and the other is incomplete T2I-Adapter model coverage; not the same bug." + "reason": "LCM core support being broken is not the same as incomplete T2I-Adapter model coverage." }, { "left": "issue:2272", "right": "issue:6323", "accept": false, - "reason": "Checkpoint-to-ONNX conversion failure is unrelated to a TensorRT pipeline attribute error." + "reason": "Checkpoint-to-ONNX conversion failure and TensorRT img2img guidance_scale assignment error are distinct problems." }, { "left": "issue:5661", "right": "issue:9034", "accept": false, - "reason": "Missing PreTrainedTokenizer import and sentencepiece dependency requirement are packaging/import issues, but they are different concrete problems." + "reason": "Missing PreTrainedTokenizer symbol and an unexpected sentencepiece requirement are separate dependency/import issues." }, { "left": "issue:9309", "right": "issue:9398", "accept": false, - "reason": "FluxControlNetPipeline bug vs missing pooled_projection argument in a different embedding module; not the same issue." + "reason": "Both touch Flux/embedding code, but the reported failures are different: ControlNetPipeline bug vs missing pooled_projection argument." }, { "left": "issue:7168", "right": "issue:9813", "accept": false, - "reason": "Both are IP-Adapter embed handling issues, but one is about 4D image-embed shapes and the other is batch feature mixing in prepare_ip_adapter_image_embeds; related but not the same bug." + "reason": "One is a user question about IP-Adapter image embeds, the other is a specific batch feature-mixing bug in prepare_ip_adapter_image_embeds." }, { "left": "issue:4375", "right": "issue:8518", "accept": false, - "reason": "Both mention torch.compile crashes, but the specific failure modes and affected code paths differ." + "reason": "Both involve torch.compile, but they are different crashes in different models and code paths." }, { "left": "issue:2774", "right": "issue:4888", "accept": false, - "reason": "ControlNet safetensors conversion error vs offline safetensors loading requirement; different functionality." + "reason": "ControlNet safetensors conversion failure is unrelated to offline safetensors loading behavior." }, { "left": "issue:4297", "right": "issue:6218", "accept": false, - "reason": "Both are batch-related img2img problems, but one is visual artifacts and the other is batched seed handling; not the same defect." + "reason": "Both are batch-related img2img issues, but fishnet artifacts/watermarks are not the same as batched seed handling." }, { "left": "issue:5233", "right": "issue:5824", "accept": false, - "reason": "Wrong callback step value and a bad default for text_encoder_projection_dim are unrelated API issues." + "reason": "Wrong callback step value and a bad default for text_encoder_projection_dim are unrelated parameter bugs." }, { "left": "issue:5447", "right": "issue:7848", "accept": false, - "reason": "Denoising_start scheduler behavior vs community example decoding issue; different bugs." + "reason": "Denoising_start with 2nd-order schedulers is a different issue from lpw_stable_diffusion_xl decoding." }, { "left": "issue:7629", "right": "issue:8609", "accept": false, - "reason": "OOM on PyTorch 1.13.1 and inability to use a custom pipeline with IP_adapter are unrelated." + "reason": "SVD OOM on PyTorch 1.13.1 and custom_pipeline/IP_adapter incompatibility are unrelated." }, { "left": "issue:6054", "right": "issue:8879", "accept": false, - "reason": "Scheduler torch.from_numpy misuse and torch.compile+cudagraph failure are different runtime issues." + "reason": "EulerDiscreteScheduler torch.from_numpy misuse and torch.compile+cudagraph failure are different runtime problems." }, { "left": "issue:1037", "right": "issue:699", "accept": false, - "reason": "Community pipeline request vs negative-prompt support request; both feature requests but not the same change." + "reason": "A community pipeline request is not the same as adding negative prompt support." }, { "left": "issue:4176", "right": "issue:4912", "accept": false, - "reason": "Mandatory authentication and custom checkpoint conversion are unrelated." + "reason": "Mandatory authentication and SDXL checkpoint conversion are unrelated feature/UX requests." }, { "left": "issue:5510", "right": "issue:5924", "accept": false, - "reason": "Mixed dtype runtime error vs VAE memory spike; different failure modes." + "reason": "Dtype mismatch in InstructPix2Pix is unrelated to a VAE memory spike." }, { "left": "issue:7421", "right": "issue:7946", "accept": false, - "reason": "Seed handling bug and custom_pipeline caching bug are unrelated." + "reason": "Seed handling in KDiffusion and custom_pipeline caching are separate issues." }, { "left": "issue:11422", "right": "issue:8589", "accept": false, - "reason": "Training crash with validation prompt and prior-preservation training limitation are different SD3 training issues." + "reason": "HiDream LoRA validation-prompt crash and SD3 DreamBooth prior-preservation support are different training concerns." }, { "left": "issue:5449", "right": "issue:6791", "accept": false, - "reason": "Pickling failure in a local preprocessing function vs a train_text_to_image_sdxl.py runtime problem; not the same root cause." + "reason": "Same example script, but one is a multiprocessing pickling bug while the other is a vague can't-run report; not clearly the same defect." }, { "left": "issue:10569", "right": "issue:10901", "accept": false, - "reason": "Both concern HunyuanVideo, but one is CPU memory usage and the other is wrong output with negative_prompt; different bugs." - }, - { - "left": "issue:1814", - "right": "issue:2782", - "accept": false, - "reason": "Changing CLIP model support and a sequential offloading error are unrelated." - }, - { - "left": "issue:4176", - "right": "issue:699", - "accept": false, - "reason": "Mandatory authentication and negative-prompt support are unrelated feature requests." + "reason": "High CPU memory usage in HunyuanVideo and wrong video output with negative_prompt are unrelated HunyuanVideo problems." } ] }, @@ -91027,15 +90928,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10100", "issue:10512", "issue:11109", "issue:11144", + "issue:1814", "issue:2228", - "issue:2459", - "issue:2722", + "issue:2782", "issue:2783", "issue:2822", "issue:2858", @@ -91079,6 +90980,7 @@ "issue:9958" ], "soft_pairs": [ + "issue:1814|issue:2782", "issue:2822|issue:988", "issue:2858|issue:4222", "issue:3418|issue:4756", @@ -91100,176 +91002,175 @@ "issue:5963|issue:9648", "issue:4314|issue:6393", "issue:11144|issue:7982", - "issue:2459|issue:2722", "issue:6560|issue:9628", "issue:10100|issue:8801" ], - "prepared_review_unit_hash": "ea196bd39bb22cb4602eb64fa7098ffb929af9fd2568812e26f5cb3da5f3ff38", + "prepared_review_unit_hash": "5be6558fbd33993a526d918e9928d3a52158038ea2c733b060cdc8e3fcdd033b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 24, - "serialized_chars": 33675, - "estimated_input_tokens": 8419, - "estimated_eval_tokens": 17094 + "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": "These items are mostly unrelated feature requests and bugs across loading, LoRA training, ControlNet, Flax, and scheduler behavior. None of the soft pairs look like true duplicates of the same underlying bug/change, so I would not merge any of them.", - "confidence": 0.95, + "summary": "The items are mostly unrelated feature requests and bug reports; none of the soft pairs look like the same underlying issue, so I would not consolidate them into a duplicate cluster.", + "confidence": 0.96, "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:9332 is the clearest, most actionable bug report: it names a concrete API (`StableDiffusionPipeline.from_pretrained`), a specific failure mode, and a reproducible loading symptom.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:1814", + "right": "issue:2782", + "accept": false, + "reason": "Different problems: changing CLIP models versus a sequential offloading error in pipeline loading." + }, { "left": "issue:2822", "right": "issue:988", "accept": false, - "reason": "Different problems: ControlNet training convergence vs FSDP training support." + "reason": "Training convergence quality issue is not the same as an FSDP training-support request." }, { "left": "issue:2858", "right": "issue:4222", "accept": false, - "reason": "Img2img seeding feature request is unrelated to low-resolution dataset training advice." + "reason": "Img2img seeding support and low-resolution dataset training advice are unrelated." }, { "left": "issue:3418", "right": "issue:4756", "accept": false, - "reason": "Different training scripts and different requested features; not the same bug." + "reason": "Both concern training scripts, but they request different script features for different workflows." }, { "left": "issue:3808", "right": "issue:7770", "accept": false, - "reason": "DeepFloyd IF stage-2 training failure is unrelated to LoRA tensor shape mismatch in Python loading." + "reason": "DeepFloyd IF training failure is a different code path from a LoRA tensor shape mismatch during loading." }, { "left": "issue:4194", "right": "issue:5339", "accept": false, - "reason": "Both are loading-related, but one is a VAE issue in from_single_file and the other is local safetensor loading; distinct failures." + "reason": "Both mention loading, but one is a VAE-from-single-file bug and the other is a local safetensor load problem." }, { "left": "issue:4578", "right": "issue:7519", "accept": false, - "reason": "Documentation VAE mention is unrelated to xFormers attention kwargs behavior." + "reason": "Documentation complaint versus an xFormers attention processor behavior issue." }, { "left": "issue:6354", "right": "issue:9511", "accept": false, - "reason": "LoRA support for ControlNet is a feature request; multi-controlnet batching is a separate pipeline behavior issue." + "reason": "LoRA support for ControlNet and multi-controlnet batching are distinct feature requests." }, { "left": "issue:9052", "right": "issue:9332", "accept": false, - "reason": "Both involve model loading, but they hit different APIs and failure modes (`from_single_file` vs `from_pretrained`)." + "reason": "Both are model-loading bugs, but the failing paths and symptoms differ enough that they do not look like one defect." }, { "left": "issue:8871", "right": "issue:9930", "accept": false, - "reason": "FP16 unscale during LoRA training is unrelated to PAG adaptive scale behavior." + "reason": "FP16 gradient unscale error during LoRA training is unrelated to PAG adaptive scale behavior." }, { "left": "issue:5110", "right": "issue:6593", "accept": false, - "reason": "Repo ID validation errors are unrelated to adding `load_lora_weights` support." + "reason": "HF repo-id validation failure is not the same issue as adding load_lora_weights support to an img2img pipeline." }, { "left": "issue:6176", "right": "issue:9941", "accept": false, - "reason": "LoRA weight loading after DreamBooth training is unrelated to a generic Colab runtime error." + "reason": "LoRA weight loading after DreamBooth training and a Colab runtime error are different reports." }, { "left": "issue:10512", "right": "issue:11109", "accept": false, - "reason": "Different models and errors: Quanto Flux LoRA loading vs depth LoRA transformer-layer mismatch." + "reason": "Quanto Flux LoRA load failure is unrelated to a depth LoRA transformer-layer mismatch." }, { "left": "issue:2783", "right": "issue:4675", "accept": false, - "reason": "Creating an img2img ControlNet pipeline is a feature request; SDXL reference-only ControlNet is a different capability." + "reason": "New pipeline creation request versus SDXL reference-only ControlNet support are different changes." }, { "left": "issue:4922", "right": "issue:8834", "accept": false, - "reason": "Android demo request is unrelated to releasing SD3 ControlNet training code." + "reason": "Android demo request is unrelated to SD3 ControlNet training-code release." }, { "left": "issue:4969", "right": "issue:8451", "accept": false, - "reason": "Importing `CrossAttention` and documenting frozen UNet parameters are different issues." + "reason": "CrossAttention import failure does not match a question about frozen UNet parameters and missing training script details." }, { "left": "issue:7053", "right": "issue:9038", "accept": false, - "reason": "UNet3D class-conditioning bug is unrelated to prompt-weight support in FlaxStableDiffusionPipeline." + "reason": "Class-conditioning support in UNet3D is a different code path from Flax prompt-weight handling." }, { "left": "issue:7312", "right": "issue:9958", "accept": false, - "reason": "Direct reward finetuning support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + "reason": "Direct reward finetuning support and VAE temporal-decoder tiling are unrelated changes." }, { "left": "issue:2228", "right": "issue:5628", "accept": false, - "reason": "GPU loading failure and LMS/Karras denoising offset are separate code paths with different symptoms." + "reason": "Pipeline GPU-loading failure is not the same as LMS scheduler Karras-sigma offset behavior." }, { "left": "issue:5963", "right": "issue:9648", "accept": false, - "reason": "Kandinsky embeds-vs-prompts failure is unrelated to VAE tiling memory overflow." + "reason": "Kandinsky embeds-vs-prompts failure and VAE tiling memory overflow are different bugs." }, { "left": "issue:4314", "right": "issue:6393", "accept": false, - "reason": "Interrupted download write-protection is not the same as private HF link resolution failure." + "reason": "Interrupted download write-protection and private-link from_single_file failure are different download issues." }, { "left": "issue:11144", "right": "issue:7982", "accept": false, - "reason": "Flax dtype initialization bug is unrelated to `from_pipe` with MultiControlNetModel." - }, - { - "left": "issue:2459", - "right": "issue:2722", - "accept": false, - "reason": "Training-script xFormers attention issue is unrelated to ControlNet conversion mismatches." + "reason": "Incorrect Flax UNet dtypes and from_pipe MultiControlNet handling are unrelated problems." }, { "left": "issue:6560", "right": "issue:9628", "accept": false, - "reason": "LoRA result shape mismatch is not the same as FP16 gradient unscale during SD3 LoRA training." + "reason": "LoRA shape-size regression and FP16 unscale error are separate training failures." }, { "left": "issue:10100", @@ -91294,10 +91195,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10194", "issue:10427", @@ -91376,12 +91277,12 @@ ], "prepared_review_unit_hash": "f22434898d40be67495ae5a3df641d838fca7e4a486f12c5c77eea5c20e15a74", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -91564,10 +91465,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10381", "issue:10446", @@ -91647,12 +91548,12 @@ ], "prepared_review_unit_hash": "19249aa485389ea85ee4c6729f2fe72cc4d689fbee74548fe19ab5edcb756534", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -91841,10 +91742,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10186", "issue:10350", @@ -91923,12 +91824,12 @@ ], "prepared_review_unit_hash": "4d1b48a0fd8662511e1cf9a5fb139db346232f9ecbbb719c6325ee44b2e6890b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -92111,10 +92012,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10039", "issue:10282", @@ -92193,12 +92094,12 @@ ], "prepared_review_unit_hash": "b367987fe00b9b2bd5168d53d827756ad64f52b1130d661278365501234442da", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -92381,10 +92282,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10121", "issue:10591", @@ -92463,12 +92364,12 @@ ], "prepared_review_unit_hash": "34958917997c7c6eca3f6eadf4d007b1568ac66422054770062d92c4fac19295", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -92651,10 +92552,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10054", "issue:10085", @@ -92733,12 +92634,12 @@ ], "prepared_review_unit_hash": "561165ff28bfba7273771834ed06ba4f6314489c0dae0daac9a4aba3762cfffb", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -92921,10 +92822,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10120", "issue:10121", @@ -93002,12 +92903,12 @@ ], "prepared_review_unit_hash": "d2ca034298c77efcd7b2f6548660febb4f387c15821a711d6713abe98e92942e", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -93193,9 +93094,8 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ - "issue:10695", "issue:10710", "issue:1084", "issue:1106", @@ -93206,7 +93106,7 @@ "issue:11790", "issue:12373", "issue:12606", - "issue:12761", + "issue:13377", "issue:1730", "issue:2299", "issue:2414", @@ -93241,6 +93141,7 @@ "issue:8956", "issue:9112", "issue:9460", + "issue:9637", "issue:9844" ], "soft_pairs": [ @@ -93262,185 +93163,185 @@ "issue:4641|issue:4697", "issue:5135|issue:6008", "issue:7939|issue:8956", + "issue:13377|issue:9637", "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:8667|issue:9460" ], - "prepared_review_unit_hash": "f9d0c517c100d151d2dd2d6506b5b989510ac278b86c9e933893fcea426695bd", + "prepared_review_unit_hash": "c8bbf0a036152ee2135a3a69308bac7f1a7173efbe931e02333f36f585422c41", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33265, - "estimated_input_tokens": 8317, - "estimated_eval_tokens": 16890 + "serialized_chars": 33349, + "estimated_input_tokens": 8338, + "estimated_eval_tokens": 16932 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is not a duplicate set: it mixes unrelated bugs, feature requests, docs questions, and training/loading issues across different subsystems. No soft-pair looks like the same underlying change or defect, so all soft edges should be rejected.", - "confidence": 0.97, - "canonical_issue_reason": "issue:10695 is the most concrete, code-path-specific bug report in the set (a scheduler timestep calculation defect) and is a plausible anchor if one issue must be chosen.", + "summary": "This set is mostly a grab-bag of unrelated Diffusers issues and feature requests; none of the suggested soft pairs look like true duplicates or the same change.", + "confidence": 0.18, + "canonical_issue_reason": "If forced to pick a representative issue, #5553 is the broadest user-facing model-loading failure and best matches the loose theme of the set. There is no convincing duplicate cluster here, though.", "canonical_pr_reason": null, - "best_issue_reason": "issue:10695 is the strongest representative issue because it describes a specific, actionable bug in a core algorithm rather than a broad question or feature request.", + "best_issue_reason": "Issue #5553 is the most general and central to the common \u201cloading model/config fails\u201d pattern among these items, so it is the safest representative issue.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:2299", "right": "issue:4977", "accept": false, - "reason": "Different problems: model conversion/checkpoint compatibility vs a training-example checkpoint-saving behavior." + "reason": "Both mention checkpoints/weights, but one is about documentation for reusing weights and the other is about removing checkpoints in an example script; not the same bug/change." }, { "left": "issue:1106", "right": "issue:2552", "accept": false, - "reason": "Unrelated topics: PNDM UNet call frequency vs inpainting tutorial/documentation." + "reason": "PNDM repeated UNet calls is a scheduler/runtime bug; the inpaint tutorial issue is documentation-related. No shared underlying defect." }, { "left": "issue:11790", "right": "issue:12606", "accept": false, - "reason": "Different bug areas: LoRA weight loading from training output vs a wrong import in a conversion script." + "reason": "LoRA loading after training and wrong import in a conversion script are different failure modes in different code paths." }, { "left": "issue:251", "right": "issue:776", "accept": false, - "reason": "Both concern image generation quality, but the reported defects are different: latent fragility vs img2img batch-size behavior." + "reason": "Both concern image pipelines, but one is about latent fragility/solid-color outputs and the other is a batch_size>1 img2img bug; not the same issue." }, { "left": "issue:4186", "right": "issue:6783", "accept": false, - "reason": "Different models and failures: SDXL inpaint/refiner behavior vs PixArt generation corruption." + "reason": "Both are SDXL-related generation problems, but one is inpaint+refiner behavior and the other is PixArt-XL output corruption; unrelated code paths." }, { "left": "issue:4399", "right": "issue:5763", "accept": false, - "reason": "Unrelated code paths: PyTorch compile/offload interaction vs safetensors serialization on save." + "reason": "Torch compile/offload incompatibility is unrelated to save_pretrained not writing safetensors." }, { "left": "issue:10710", "right": "issue:8373", "accept": false, - "reason": "A format-support question is not the same as an incorrect error-message bug." + "reason": "DDUF format support request and an incorrect error-message report are not the same bug or change." }, { "left": "issue:6686", "right": "issue:9844", "accept": false, - "reason": "Different symptoms and layers: compilation performance after save/load vs VAE encoder NaNs." + "reason": "Dynamo compilation save/load performance regression is different from SDXL VAE encoder NaNs." }, { "left": "issue:1084", "right": "issue:307", "accept": false, - "reason": "Docs request about weight reuse is not the same as an architectural pipeline-merging feature request." + "reason": "Both are broad pipeline-weight topics, but one asks for documentation on reusing weights and the other requests merging pipelines into one; different proposals." }, { "left": "issue:11374", "right": "issue:12373", "accept": false, - "reason": "Completely different asks: adding SkyReels support vs an Unlearn API." + "reason": "SkyReels-V2 integration request and an Unlearn API request are separate feature additions." }, { "left": "issue:11447", "right": "issue:11448", "accept": false, - "reason": "Different bugs: offline shard-file resolution vs a missing model path." + "reason": "Offline shard-file loading and a missing model path are both loading-related, but they are distinct errors with different causes." }, { "left": "issue:1730", "right": "issue:2442", "accept": false, - "reason": "Unrelated: checkpoint conversion failing in webui vs a question about loss curves for inpainting finetuning." + "reason": "Dreambooth-to-CKPT conversion compatibility and inpainting loss-curve guidance are unrelated." }, { "left": "issue:2414", "right": "issue:6636", "accept": false, - "reason": "Different import failures affecting different modules and root causes." + "reason": "These are both import errors, but they involve different missing symbols/modules and different release-time regressions." }, { "left": "issue:4031", "right": "issue:4874", "accept": false, - "reason": "Both involve loading-related behavior, but one is a safety-checker local-file failure and the other is a low_res_scheduler bug in upscale pipeline loading." + "reason": "Local safety-checker load failure is not the same as the low_res_scheduler bug in upscale pipeline local loading." }, { "left": "issue:4476", "right": "issue:5412", "accept": false, - "reason": "Different phases and failures: inference quality on SDXL+ControlNet vs checkpoint resume training failure." + "reason": "SDXL+ControlNet fill50k quality issue and resume_from_checkpoint training failure are different problems in different stages." }, { "left": "issue:4641", "right": "issue:4697", "accept": false, - "reason": "Both are LoRA-loading issues, but one is about local native LoRA weights with load_lora_weights and the other is a specific LoRa after an update; no clear same root cause." + "reason": "Both are LoRA loading issues, but one is about native LoRA weights with local files and the other is a specific LoRA failing after a version update; not clearly the same code-path bug." }, { "left": "issue:5135", "right": "issue:6008", "accept": false, - "reason": "Unrelated: LoRA quality degradation/xformers suspicion vs IP-Adapter Plus Face failing with an LCM LoRA." + "reason": "LoRA quality degradation/xformers is a performance-quality regression, while IP-Adapter Plus Face with LCM LoRA is a compatibility failure; not the same change." }, { "left": "issue:7939", "right": "issue:8956", "accept": false, - "reason": "Both are model-loading complaints, but they target different pipelines/models and different error conditions." + "reason": "Both mention loading models, but one is loading from the same folder and the other is OVStableDiffusionXLPipeline model loading; too different to merge." + }, + { + "left": "issue:13377", + "right": "issue:9637", + "accept": false, + "reason": "QwenImagePipeline CFG suppression with negative_prompt_embeds is unrelated to xFormers attention-mask/bfloat16 shape failure." }, { "left": "issue:11092", "right": "issue:9112", "accept": false, - "reason": "Different inference bugs in different models: empty timesteps in SDXL-Turbo img2img vs Auraflow tensor-size mismatch." + "reason": "Empty timesteps in SDXL img2img with Turbo is a scheduler/timestep bug; Auraflow tensor-size mismatch is a model-shape mismatch." }, { "left": "issue:2716", "right": "issue:6176", "accept": false, - "reason": "A general 'how to load checkpoint' question is not the same as a LoRA weight loading error after training." + "reason": "General checkpoint loading question and LoRA weight loading after dreambooth training are different issues." }, { "left": "issue:4031", "right": "issue:5553", "accept": false, - "reason": "Different loading failures: stand-alone safety checker from local file vs a custom model load failure." + "reason": "Both involve loading models, but the safety checker local-file failure and custom model loading failure are different code paths and fixes." }, { "left": "issue:4043", "right": "issue:5081", "accept": false, - "reason": "Both touch SDXL text-embedding handling, but one is an API requirement for pooled embeddings and the other is an LPW XL matmul shape mismatch." + "reason": "SDXL pooled embeddings requirement and LPW XL matmul shape error are distinct embedding/shape issues." }, { "left": "issue:8667", "right": "issue:9460", "accept": false, - "reason": "Different SD3ControlNet problems: non-power-of-two image tensor mismatch vs supporting a list of ControlNet models." - }, - { - "left": "issue:10695", - "right": "issue:12761", - "accept": false, - "reason": "Completely different bugs: DDIMInverseScheduler timestep logic vs a backward-gradient count mismatch." + "reason": "SD3ControlNet tensor-size mismatch and allowing a list of ControlNet models are unrelated." } ] }, @@ -93462,14 +93363,15 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ + "issue:10695", "issue:10768", "issue:10772", "issue:10893", "issue:1214", + "issue:12761", "issue:2201", - "issue:2392", "issue:2550", "issue:272", "issue:2908", @@ -93483,7 +93385,6 @@ "issue:3682", "issue:3876", "issue:3935", - "issue:3951", "issue:4001", "issue:4118", "issue:4185", @@ -93513,10 +93414,10 @@ "issue:9756" ], "soft_pairs": [ + "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", "issue:3181|issue:3624", @@ -93538,178 +93439,178 @@ "issue:1214|issue:2908", "issue:4185|issue:8659" ], - "prepared_review_unit_hash": "86709600e9e393bb9e30de1f4998853942a73c0035577540e1a826978574c2ef", + "prepared_review_unit_hash": "2c99fbaa24eef321f2a3366839c214ddc134ce0f21dc8a54fa8b8424592457ce", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 33279, - "estimated_input_tokens": 8320, - "estimated_eval_tokens": 16896 + "serialized_chars": 33265, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The candidate set is highly heterogeneous: it mixes unrelated feature requests, docs tasks, and runtime bugs across different models/pipelines. None of the soft pairs look like the same underlying issue or change, so all soft edges should be rejected.", - "confidence": 0.96, - "canonical_issue_reason": "No single issue cleanly represents this set; the items span many unrelated topics, so there is no true canonical duplicate target here.", + "summary": "The pairings are mostly false-positive lexical matches across unrelated issues. They span different subsystems and bug types (scheduler math, ControlNet training/inference, loading errors, docs, and feature requests), so there is no clear duplicate cluster here.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue fits this set: the items are unrelated and do not describe one underlying bug or change.", "canonical_pr_reason": null, - "best_issue_reason": "If one issue must be chosen, issue:4185 is the most concrete and discussed bug report, but it is still not a good canonical for the overall heterogeneous group.", + "best_issue_reason": "Issue #8930 is the strongest standalone thread: it is open, detailed, and actively discussed, but it still does not represent the rest of the heterogeneous set.", "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "issue:10695", + "right": "issue:12761", + "accept": false, + "reason": "Different bugs: DDIMInverseScheduler timestep math vs. a backward pass returning the wrong number of gradients." + }, { "left": "issue:10768", "right": "issue:10772", "accept": false, - "reason": "Different requests: negative prompts for Hunyuan video vs ControlNet support for Sana." + "reason": "Unrelated topics: negative prompt support in Hunyuan video vs. Sana ControlNet support." }, { "left": "issue:10893", "right": "issue:8390", "accept": false, - "reason": "Different models and changes: CogVideoX ControlNet integration vs Stable Cascade ControlNet training." + "reason": "Both are ControlNet-related feature requests, but for different models and tasks (CogVideoX integration vs. Stable Cascade training)." }, { "left": "issue:2201", "right": "issue:6598", "accept": false, - "reason": "Both are image-generation quality issues, but one is tokenizer padding behavior and the other is img2img output mismatch; not the same bug." - }, - { - "left": "issue:2392", - "right": "issue:3951", - "accept": false, - "reason": "Both mention bad outputs, but one is a prompt_embeds validation error and the other is NaN demo output in a different pipeline." + "reason": "Tokenizer padding behavior vs. img2img result mismatch; different failure modes and code paths." }, { "left": "issue:2550", "right": "issue:5875", "accept": false, - "reason": "Different problems: converting ControlNet to diffusers vs ONNX conversion prompt error for SDXL." + "reason": "ControlNet model conversion to diffusers is unrelated to an ONNX export prompt error." }, { "left": "issue:272", "right": "issue:4304", "accept": false, - "reason": "Unrelated feature requests: K-LMS inpainting support vs SDXL LoRA training support." + "reason": "K-LMS inpainting support and SDXL LoRA training are separate feature requests." }, { "left": "issue:3181", "right": "issue:3624", "accept": false, - "reason": "Different errors in different code paths: TensorRT example TypeError vs getattr attribute-name TypeError." + "reason": "TensorRT example TypeError is not the same as a generic getattr attribute-name error." }, { "left": "issue:3578", "right": "issue:4118", "accept": false, - "reason": "Different loading failures: AutoencoderKL checkpoint loading vs missing from_single_file attribute." + "reason": "Different loading issues: AutoencoderKL checkpoint load failure vs. missing from_single_file attribute." }, { "left": "issue:3682", "right": "issue:725", "accept": false, - "reason": "Different LoRA-loading and model-loading requests; not the same underlying issue." + "reason": "LoRA weight loading and device-mapping/accelerate pipeline loading are different problems." }, { "left": "issue:3935", "right": "issue:4001", "accept": false, - "reason": "Both are docs tasks, but one is about feed-forward chunking docstrings and the other is adding a demo link to the README." + "reason": "Both are docs-related, but one is about feed-forward chunking docstrings and the other about adding a demo link." }, { "left": "issue:4675", "right": "issue:8390", "accept": false, - "reason": "Different ControlNet topics: SDXL reference-only support vs Stable Cascade ControlNet training." + "reason": "ControlNet for SDXL reference-only vs. Stable Cascade ControlNet training are different requests." }, { "left": "issue:4804", "right": "issue:9225", "accept": false, - "reason": "Different bugs: LoraLoaderMixin mutation error vs RGBA latent size mismatch in InstructPix2Pix." + "reason": "A state-mutation error in LoRA loading is unrelated to latent-size mismatch with RGBA images." }, { "left": "issue:5043", "right": "issue:7736", "accept": false, - "reason": "Feature request for W\u00fcrstchen LoRA finetuning vs API request for supported callbacks." + "reason": "LoRA finetuning for W\u0000fcrstchen is a model feature request, not the same as adding callbacks support." }, { "left": "issue:5794", "right": "issue:8898", "accept": false, - "reason": "Different loading issues: missing tokenizer config in SDXL repo vs from_pretrained subfolder path validation." + "reason": "Missing tokenizer/config.json on a model repo is not the same as a subfolder path validation error." }, { "left": "issue:7237", "right": "issue:9756", "accept": false, - "reason": "Different missing-file/loading issues: scheduler not found vs notebook file missing." + "reason": "A missing scheduler class and a missing notebook file are unrelated." }, { "left": "issue:7813", "right": "issue:8855", "accept": false, - "reason": "Unrelated attention/API questions: passing timesteps as tensors vs joint_attention_kwargs not reaching AttentionProcessor." + "reason": "Timesteps tensor handling confusion is not the same as joint_attention_kwargs not reaching the AttentionProcessor." }, { "left": "issue:8503", "right": "issue:9539", "accept": false, - "reason": "Different runtime failures in different models/code paths: SD3 gradient checkpointing crash vs CogVideoX float8 index_select error." + "reason": "SD3 gradient-checkpointing crash and a Float8 index_select CUDA error are different code-path failures." }, { "left": "issue:3876", "right": "issue:4306", "accept": false, - "reason": "Different pipeline bugs: ControlNet inpaint demo error vs StableDiffusionReferencePipeline list index error." + "reason": "Both mention ControlNet/reference pipelines, but one is an inpaint demo error and the other is a list-index-out-of-range bug." }, { "left": "issue:6335", "right": "issue:8930", "accept": false, - "reason": "Both involve ControlNet img2img behavior, but one is output-size handling and the other is pose-image adherence; not the same bug." + "reason": "Both touch ControlNet img2img behavior, but one is about output size control while the other is about pose-conditioning not being respected." }, { "left": "issue:3643", "right": "issue:5365", "accept": false, - "reason": "Different runtime limits: INT_MAX decode error vs num_inference_steps error in txt2video." + "reason": "Latent decoding overflow and num_inference_steps handling in txt2video are unrelated issues." }, { "left": "issue:3403", "right": "issue:7286", "accept": false, - "reason": "Different loading/attention issues: TorchDynamo pipeline loading vs cross-attention weight loading in Custom Diffusion." + "reason": "TorchDynamo pipeline loading and custom diffusion cross-attention weight loading are different subsystems and bugs." }, { "left": "issue:2991", "right": "issue:3467", "accept": false, - "reason": "Both are ControlNet training-related, but one is mixed-precision shape errors and the other is resume-step accounting; distinct bugs." + "reason": "Mixed-precision failures in a training example are distinct from resuming from the wrong step." }, { "left": "issue:1214", "right": "issue:2908", "accept": false, - "reason": "Different precision problems in different components: CLIPTextModel half precision vs ControlNet training script shape/mixed-precision errors." + "reason": "Half-precision CLIPTextModel behavior is not the same as ControlNet training shape/mixed-precision errors." }, { "left": "issue:4185", "right": "issue:8659", "accept": false, - "reason": "Different ControlNet/SDXL issues: black images during inference vs checkpoint resume/load failure in a training script." + "reason": "Black SDXL ControlNet images and checkpoint resume/load problems are different concrete bugs." } ] }, @@ -93728,10 +93629,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1205", "issue:1271", @@ -93809,12 +93710,12 @@ ], "prepared_review_unit_hash": "8feb2b3607e9be15d97786dc9c78ac49cc8ccd28185d1bb6bbcadca664aff13d", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -93997,10 +93898,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10016", "issue:1055", @@ -94078,12 +93979,12 @@ ], "prepared_review_unit_hash": "fb55de796e0596e2d38d145baec03bc31556754ab51eb9de5bd896ea9b80e59f", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -94266,10 +94167,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1070", "issue:11088", @@ -94348,12 +94249,12 @@ ], "prepared_review_unit_hash": "20f88ebaa99166f4119ddb8a74cae9d4be9a8b542a2052bad6971680d0186468", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -94536,10 +94437,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10381", "issue:10526", @@ -94618,12 +94519,12 @@ ], "prepared_review_unit_hash": "22ed0eef120833587681d66bea82e56b80e8504e3837e707e855edd660eae469", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -94812,7 +94713,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10085", "issue:10227", @@ -94888,14 +94789,14 @@ "issue:11321|issue:7836", "issue:11343|issue:8637" ], - "prepared_review_unit_hash": "e7cf997788095def4776b309b4c7e32d3132fe1c1e31de9cd70e41e996834d59", + "prepared_review_unit_hash": "78da4db82cd730bda7fcf9bc06cccd39ab71fe8a36886494dac0eaa196e20b57", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -94910,156 +94811,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the soft pairs mostly share only broad subsystem names or generic failure modes, not the same underlying bug. I would not merge any of the proposed pairs.", - "confidence": 0.95, - "canonical_issue_reason": "issue:9051 is the clearest self-contained bug report in the set and the closest to a repeatable concrete problem; most other items are orthogonal or much more specialized.", + "summary": "The cluster is highly heterogeneous: mostly unrelated issue reports across different pipelines, schedulers, training scripts, and loading/quantization paths. No soft-edge pair looks like the same underlying bug strongly enough to merge.", + "confidence": 0.55, + "canonical_issue_reason": "issue:9051 is the clearest, most concrete runtime bug report in the set (FluxPipeline batch inference), so it works best as a representative issue even though the cluster is not truly cohesive.", "canonical_pr_reason": null, - "best_issue_reason": "issue:9051 is the most actionable and specific issue here, with a concrete FluxPipeline batch-inference limitation described directly in the title.", + "best_issue_reason": "issue:9051 is the strongest standalone issue candidate because it is specific, reproducible, and tied to a concrete pipeline code path rather than a broad question or vague regression.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:3885", "right": "issue:8594", "accept": false, - "reason": "Different problems and code paths: VRAM usage in a text-to-image training script vs a LoRA resume/name error in dreambooth SD3 training." + "reason": "VRAM usage discussion for training vs an UnboundLocalError in a SD3 LoRA script; different bugs and fixes." }, { "left": "issue:4057", "right": "issue:7752", "accept": false, - "reason": "Unrelated topics: blurred finetuned inpainting output vs a question about the num_class-images training parameter." + "reason": "Blurred inpainting output vs a question about num_class_images during training; unrelated topics." }, { "left": "issue:4453", "right": "issue:4680", "accept": false, - "reason": "Different user goals and failure modes: LoRA conversion for AUTO1111 vs SDXL inpainting fine-tuning." + "reason": "LoRA conversion workflow vs SDXL inpainting fine-tuning; not the same bug." }, { "left": "issue:4788", "right": "issue:5225", "accept": false, - "reason": "Both are memory-related, but they are distinct scenarios: 6GB SDXL inpaint OOM vs 24GB forward-pass OOM during SDXL training." + "reason": "Both concern memory, but one is SD XL inpaint OOM on 6 GB and the other is a forward-pass OOM on SDXL with Adafactor; different concrete failures." }, { "left": "issue:5150", "right": "issue:9025", "accept": false, - "reason": "Both mention from_single_file, but one is StableDiffusionUpscalePipeline support and the other is FlaxStableDiffusionPipeline in a TPU environment; not the same bug." + "reason": "Missing from_single_file on Upscale pipeline vs Flax pipeline usage on Kaggle TPU; different pipeline/backend support issues." }, { "left": "issue:5160", "right": "issue:9241", "accept": false, - "reason": "LoRA masking vs a script to convert XLab LoRAs are different features entirely." + "reason": "Dreambooth/LoRA masking vs an XLab-to-diffusers conversion script; unrelated change requests." }, { "left": "issue:5442", "right": "issue:6313", "accept": false, - "reason": "Different pipelines and functionality: ScaleCrafter support vs Null-Text Inversion pipeline implementation." + "reason": "ScaleCrafter pipeline feature vs Null-Text Inversion pipeline implementation; different artifacts entirely." }, { "left": "issue:6533", "right": "issue:9387", "accept": false, - "reason": "Marigold depth estimation and MimicMotion are unrelated pipeline requests." + "reason": "Marigold depth-estimation pipeline vs MimicMotion pipeline; no shared bug." }, { "left": "issue:7593", "right": "issue:9267", "accept": false, - "reason": "Different AttributeErrors in different modules: IP-Adapter image embedding prep vs missing rope in Flux transformer." + "reason": "IP-Adapter image projection NoneType error vs missing rope attribute in Flux transformer; different code paths." }, { "left": "issue:8759", "right": "issue:8786", "accept": false, - "reason": "Both involve SD3, but one is a runtime warning in image processing while the other is about token count/sequence length behavior." + "reason": "SD3 image casting warning vs SD3 token-count/sequence-length behavior; related model family but distinct defects." }, { "left": "issue:4418", "right": "issue:5763", "accept": false, - "reason": "SDXL inpaint denoising_start behavior and save_pretrained safetensors serialization are unrelated bugs." + "reason": "Inpainting denoising_start behavior vs save_pretrained safetensors serialization; unrelated." }, { "left": "issue:5846", "right": "issue:9523", "accept": false, - "reason": "Checkpoint resume error in one SDXL LoRA script is not the same as mapping errors across different training scripts." + "reason": "Checkpoint resume error in one training script vs mapping errors across multiple training scripts; not the same concrete bug." }, { "left": "issue:10085", "right": "issue:9051", "accept": false, - "reason": "Both mention batch inference, but 10085 also depends on LyCORIS and skip_guidance_layers; it is not the same concrete Flux batch-inference bug." + "reason": "Both mention batch inference, but one is LyCORIS/skip_guidance_layers runtime failure and the other is generic FluxPipeline batch support; different underlying problems." }, { "left": "issue:11062", "right": "issue:13001", "accept": false, - "reason": "Different loading failures: a specific CivitAI LoRA error vs a Flux2.Klein GGUF shape mismatch." + "reason": "CivitAI LoRA loading error vs Flux2.Klein GGUF shape mismatch; different model/file-format issues." }, { "left": "issue:5710", "right": "issue:6949", "accept": false, - "reason": "Same scheduler family, but one is missing self.sigmas at init and the other produces blank images at even steps; too different to treat as the same bug." + "reason": "Missing self.sigmas during scheduler init vs blank images at even step counts; different scheduler bugs." }, { "left": "issue:10227", "right": "issue:9138", "accept": false, - "reason": "A LoRA feature-support limitation is unrelated to a generic TypeError comparing int and str." + "reason": "LoRA feature-size NotImplementedError vs a generic int/string comparison TypeError; unrelated." }, { "left": "issue:12610", "right": "issue:9953", "accept": false, - "reason": "Both concern quantized models and device movement, but the triggers differ: Quanto + Group Offload mismatch vs moving a quantized pipeline to cuda." + "reason": "Both involve quantized/device movement, but one is Quanto + Group Offload and the other is moving a quantized pipeline to CUDA; too different for one fix." }, { "left": "issue:2841", "right": "issue:459", "accept": false, - "reason": "Sampling temperature in schedulers and incremental diffusion are distinct algorithmic ideas, not the same change." + "reason": "Sampling temperature support in schedulers vs Incremental Diffusion proposal; not duplicates." }, { "left": "issue:2966", "right": "issue:6444", "accept": false, - "reason": "Different training scripts and errors: multi-GPU pix2pix training vs CLIPTextModel peft_config checkpointing failure." + "reason": "Multi-GPU training problem in instruct-pix2pix vs checkpointing/peft_config error in SDXL LoRA training; different failures." }, { "left": "issue:1066", "right": "issue:3781", "accept": false, - "reason": "Documentation generation in forks is unrelated to multi-LoRA loading in inference." + "reason": "Docs builder behavior in forks vs loading multiple LoRAs; unrelated." }, { "left": "issue:10710", "right": "issue:9138", "accept": false, - "reason": "A support question about DDUF format is unrelated to a TypeError in comparisons." + "reason": "DDUF format support question vs a TypeError; no shared bug." }, { "left": "issue:10860", "right": "issue:10963", "accept": false, - "reason": "LoRA interoperability with ComfyUI and a missing AutoencoderKLWan import are unrelated." + "reason": "LoRA interoperability with ComfyUI vs missing AutoencoderKLWan import; different modules and problems." }, { "left": "issue:11321", "right": "issue:7836", "accept": false, - "reason": "A flux controlnet README bug and CLIP overfitting in an example are different issue types." + "reason": "Flux controlnet README bug vs CLIP training overfitting; one is documentation, the other is model behavior." }, { "left": "issue:11343", "right": "issue:8637", "accept": false, - "reason": "Both are import errors, but they affect different modules and likely different breakages; not the same underlying failure." + "reason": "General import failures after a transformers update vs missing PixArtSigmaPipeline export; similar symptom category but not the same root cause." } ] }, @@ -95078,10 +94979,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10638", "issue:1156", @@ -95160,12 +95061,12 @@ ], "prepared_review_unit_hash": "5da8f444764b5cada32b9bac1ac3965707508596bb5e04ec366b6dfe6b7f9541", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -95348,10 +95249,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10045", "issue:10287", @@ -95430,12 +95331,12 @@ ], "prepared_review_unit_hash": "6401bd5e81310c912cff3fe57aa669a8ecdb19feb7d9b9a72792dd3309837ad3", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -95618,10 +95519,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10165", "issue:10950", @@ -95700,12 +95601,12 @@ ], "prepared_review_unit_hash": "832ce8dec30f657b3409727f57d504d1cf9092658d5c3ca9374e0eb326262094", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -95888,10 +95789,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10017", "issue:11035", @@ -95969,12 +95870,12 @@ ], "prepared_review_unit_hash": "16f3b3aef8d7d7f659c3323d576a37e23e4420783ac8de46e2902ea2c0ce64c0", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -96157,10 +96058,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1009", "issue:10198", @@ -96238,12 +96139,12 @@ ], "prepared_review_unit_hash": "01a28e10e951d86f1452e4064424eb03ad892ec5713b5716fb345cfc74cfcff2", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -96426,10 +96327,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10382", "issue:10511", @@ -96507,12 +96408,12 @@ ], "prepared_review_unit_hash": "37338d22f7230df7bb57175858da93f1334b321456da192314d08d429c3a9b70", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -96695,10 +96596,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10085", "issue:10712", @@ -96777,12 +96678,12 @@ ], "prepared_review_unit_hash": "ad3ded02778674ff5fa82aad593f520a25b6deb9d0fadffa7ba9092532b0d834", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -96968,7 +96869,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10026", "issue:10277", @@ -97045,14 +96946,14 @@ "issue:3624|issue:5509", "issue:10500|issue:6869" ], - "prepared_review_unit_hash": "65c4143887c1728bc3718c7199ca321369a95ab3873b5de0961a64e0203e7c5f", + "prepared_review_unit_hash": "b0ac6e0fb517e0f38dd64ed78437e6fff08900264cdea670d4256697798d37da", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -97067,156 +96968,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is not a true duplicate set: the items span unrelated bugs in loading, schedulers, LoRA, inpainting, and training. None of the soft pairs look like the same underlying issue, so all are rejected.", - "confidence": 0.28, - "canonical_issue_reason": null, + "summary": "The set is broadly heterogeneous: most items are unrelated bugs or feature requests across different pipelines, loaders, schedulers, and training scripts. None of the soft-similarity pairs are strong enough to merge as the same underlying issue/change.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 13077 is the best anchor: it is a concrete, code-path-specific bug report with a clear failure mode ('shallow copy of the transformer weights') and strong engagement, making it the most representative issue here.", "canonical_pr_reason": null, - "best_issue_reason": "issue:13077 is the most concrete and well-scoped bug report in the set, with a clear failure mode (shallow-copying transformer weights) and strong downstream impact, so it is the best representative issue if one must be chosen.", + "best_issue_reason": "Issue 13077 is the most actionable standalone bug in the set: specific symptom, specific API path, and likely to be useful as a canonical reference if related reports appear later.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:9134", "right": "issue:9291", "accept": false, - "reason": "Both are FLUX LoRA-related, but one is a training/compatibility problem and the other is a key-format compatibility issue; they are not the same bug or change." + "reason": "Both are FLUX LoRA-related, but one is about SimpleTuner-trained LoRAs and the other about kohya-ss key compatibility; different concrete failure modes and likely different fixes." }, { "left": "issue:12009", "right": "issue:13001", "accept": false, - "reason": "Both involve GGUF/single-file loading, but they fail in different model families and with different errors (meta tensor copy vs shape mismatch); not the same underlying issue." + "reason": "Both involve GGUF loading, but they target different models and errors (Wan2.2 meta-tensor load vs Flux2.Klein shape mismatch), so they are not the same bug." }, { "left": "issue:1214", "right": "issue:2244", "accept": false, - "reason": "Both mention half-precision failures, but one is CLIPTextModel-specific and the other is a Dreambooth CPU normalization path issue; different code paths and failures." + "reason": "Both mention half precision, but they fail in different models/pipelines and with different runtime errors; too broad to treat as one defect." }, { "left": "issue:7801", "right": "issue:9674", "accept": false, - "reason": "One is about mixed_precision not producing fp16 weights, the other is about poor SD3 ControlNet training results; not the same bug." + "reason": "One is about mixed_precision not producing fp16 weights, the other about poor SD3 ControlNet training results; not the same code-path problem." }, { "left": "issue:7945", "right": "issue:9680", "accept": false, - "reason": "Both are image-generation pipeline issues, but one is about combining community pipelines while the other is SDXL unconditional generation; too broad and unrelated." + "reason": "A community-pipeline combination request is unrelated to an SDXL unconditional-generation breakage." }, { "left": "issue:7946", "right": "issue:8898", "accept": false, - "reason": "Custom pipeline caching and from_pretrained subfolder loading are different loader behaviors with different failure modes." + "reason": "Custom pipeline caching and from_pretrained subfolder path validation are different loader behaviors and errors." }, { "left": "issue:1791", "right": "issue:2578", "accept": false, - "reason": "Mac/MPS support for UnCLIP and editable install failures are unrelated environment/setup problems." + "reason": "Mac/MPS support for UnCLIP is unrelated to editable-mode installation failure." }, { "left": "issue:3199", "right": "issue:3213", "accept": false, - "reason": "Custom pipelines breaking and lpw_stable_diffusion breaking again are different pipeline regressions, not one concrete bug." + "reason": "Both mention pipeline breakage, but one is a broad custom-pipelines report and the other is a specific LPW pipeline regression; not enough evidence of one underlying bug." }, { "left": "issue:4282", "right": "issue:7102", "accept": false, - "reason": "Multi-ControlNet pipeline feature request vs ControlNet multi-prompt bug; one is a feature and the other a specific runtime issue." + "reason": "Adding Multi-ControlNet support is a feature request; the other is a bug in multi-ControlNet/multi-prompt behavior." }, { "left": "issue:7851", "right": "issue:9479", "accept": false, - "reason": "Concurrent pipeline index error and inpainting mask leakage are unrelated runtime bugs." + "reason": "Concurrent-call indexing failure is unrelated to inpainting mask leakage." }, { "left": "issue:12689", "right": "issue:13077", "accept": false, - "reason": "LoRA checkpoint adapter weights not loading and shallow-copying transformer weights are different load/copy semantics and distinct bugs." + "reason": "LoRA checkpoint loading and ZImageControlNet transformer-weight copying are different mechanisms with different failure surfaces." }, { "left": "issue:1070", "right": "issue:4854", "accept": false, - "reason": "Both are inpainting-related, but one is a new-version bug and the other is the pipeline only acting on the first image; different behavior and likely different fixes." + "reason": "Both are inpainting-related, but one is a generic inpainting bug report and the other is a batch/first-image issue; too different to merge." }, { "left": "issue:6240", "right": "issue:9704", "accept": false, - "reason": "device_map='auto' error and cuDNN frontend execution-plan failure are unrelated backend/runtime problems." + "reason": "device_map='auto' loading errors and cuDNN frontend execution-plan failures are unrelated." }, { "left": "issue:4686", "right": "issue:6793", "accept": false, - "reason": "Loading a saved pipeline from_pretrained and hydra serialization failures are different serialization/loading issues." + "reason": "Local StableDiffusionUpscalePipeline loading and Hydra serialization failures are unrelated." }, { "left": "issue:1616", "right": "issue:2907", "accept": false, - "reason": "LPW community pipeline breakage and calling enable_model_cpu_offload twice are distinct pipeline defects." + "reason": "Community-pipeline support on Diffusers 0.8.0 is unrelated to double enable_model_cpu_offload failures." }, { "left": "issue:2447", "right": "issue:3884", "accept": false, - "reason": "Both are LoRA-related, but one is a general LoRA error and the other is a specific train_text_to_image_lora.py training-script failure; not clearly the same bug." + "reason": "Both concern LoRA, but one is a generic LoRA error and the other is a specific training script failure; not clearly the same underlying bug." }, { "left": "issue:5967", "right": "issue:9889", "accept": false, - "reason": "Stable Diffusion Turbo announcement and an SDXL-turbo segfault are unrelated." + "reason": "An announcement is not the same as a segmentation fault bug report." }, { "left": "issue:1546", "right": "issue:785", "accept": false, - "reason": "Truncation warning causing batched-input errors and PNDMScheduler performance cost are unrelated issues." + "reason": "Truncation warnings causing batched-input errors and PNDM scheduler performance cost are separate issues." }, { "left": "issue:2858", "right": "issue:4923", "accept": false, - "reason": "Adding a seeding image to UnCLIP img2img is a feature request, while AudioLDM2 transcript consumption is a different feature request in another pipeline." + "reason": "Both are feature requests, but for different pipelines and different capabilities." }, { "left": "issue:2312", "right": "issue:3631", "accept": false, - "reason": "EMA save-hook error and inpainting latents exception are different training/inference paths." + "reason": "EMA-save-hook errors during text-to-image finetuning and inpainting latent exceptions are unrelated." }, { "left": "issue:10026", "right": "issue:11127", "accept": false, - "reason": "DeepSpeed memory reduction in Flux ControlNet training and single-file loading for a CivitAI Flux model are unrelated issues." + "reason": "Training-memory behavior under DeepSpeed and single-file Flux model loading are different problems." }, { "left": "issue:10277", "right": "issue:8407", "accept": false, - "reason": "Using Euler scheduler in FluxFill and UniPC set_timesteps kwargs support are unrelated scheduler-specific issues." + "reason": "Different schedulers, different pipelines, and different compatibility errors; not the same change." }, { "left": "issue:3624", "right": "issue:5509", "accept": false, - "reason": "getattr attribute-name TypeError and image/prompt batch-size mismatch are different runtime errors." + "reason": "A getattr type error is unrelated to image-batch-size validation." }, { "left": "issue:10500", "right": "issue:6869", "accept": false, - "reason": "BitsAndBytes device mismatch in HunyuanVideo and export_to_video unpacking error are unrelated failures." + "reason": "Device placement failure in HunyuanVideo/BitsAndBytes is unrelated to a video export unpacking error." } ] }, @@ -97235,10 +97136,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10337", "issue:10526", @@ -97319,12 +97220,12 @@ ], "prepared_review_unit_hash": "2cc66c4a225f1baf88c2a4e8925e17228e995da81d8449e7288e7f22916487ba", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -97519,10 +97420,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1014", "issue:10526", @@ -97602,12 +97503,12 @@ ], "prepared_review_unit_hash": "763a70d4378e441fe70bd1f785188adacb7d8b5b3f1f7da3e00a46fdecb0ccfe", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -97796,10 +97697,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:10010", "issue:10052", @@ -97879,12 +97780,12 @@ ], "prepared_review_unit_hash": "f993bbdc9581e411037ff437379ad339442b81c41a0c9f033dc5a4885f2484af", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -98076,7 +97977,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:11047", "issue:11055", @@ -98154,14 +98055,14 @@ "issue:1486|issue:2532", "issue:1535|issue:1536" ], - "prepared_review_unit_hash": "dc370d83fe92a687874f951e592ab136a6b0324456499abf69fd87bdbee06aaf", + "prepared_review_unit_hash": "af5657629091cf9a10b10b069c2f7d72514aaa9821c35ae57590519692830af8", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -98176,162 +98077,162 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is mostly a set of unrelated issues with only broad topical overlap (pipelines, ONNX, Flux, ControlNet, docs). I found no pair that clearly describes the same underlying bug or change, so all soft edges should be rejected.", - "confidence": 0.91, - "canonical_issue_reason": "Issue #9239 is the clearest concrete bug report in the set: it has a specific symptom (black images), a specific pipeline (ControlNet-Canny), and strong discussion activity.", + "summary": "This cluster is highly heterogeneous: the soft links mostly reflect superficial keyword overlap (ControlNet, Flux, ONNX, pipelines, tests) rather than the same underlying bug or change. I would not merge any of the soft edges as duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "#9239 is the best representative issue because it is narrow, reproducible, and bug-focused, unlike the others which are mostly feature requests, API mismatches, or unrelated support questions.", + "best_issue_reason": "Issue 1869 is the most discussion-heavy and broadly framed item, but it still does not represent the rest of this mixed cluster well enough to serve as a true canonical.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:11047", "right": "issue:9239", "accept": false, - "reason": "Both mention ControlNet, but they describe different problems: a missing pag inpaint model vs black output from ControlNet-Canny." + "reason": "Both mention ControlNet, but one is about a missing inpaint model in the pipeline and the other about black output with ControlNet-Canny; different bugs." }, { "left": "issue:11055", "right": "issue:8557", "accept": false, - "reason": "Unconditional colorization during training and SD3 token-limit training are different training issues with no shared code-path evidence." + "reason": "Unconditional image generation colorization and SD3 training token limits are unrelated failure modes." }, { "left": "issue:1117", "right": "issue:338", "accept": false, - "reason": "One is about multiple negative prompts; the other is about LMS Discrete test coverage. Same broad testing area, not the same bug/change." + "reason": "Multiple negative prompts tests and LMS Discrete tests cover different features." }, { "left": "issue:1117", "right": "issue:339", "accept": false, - "reason": "Multiple negative prompts and Karras VE tests are unrelated testing tasks, not duplicate issues." + "reason": "Different scheduler coverage: negative prompts vs Karras VE." }, { "left": "issue:11220", "right": "issue:9438", "accept": false, - "reason": "Both concern docs pages, but they are different pages and different failures (expected behavior vs 404)." + "reason": "Both are docs issues, but they concern different pages and different broken links/behavior." }, { "left": "issue:11362", "right": "issue:8317", "accept": false, - "reason": "Both are API-signature complaints, but they hit different model classes and different missing parameters, so they are not the same defect." + "reason": "Different model APIs: return_dict handling on HiDreamImageTransformer2DModel vs missing generator in AsymmetricAutoencoderKL decode." }, { "left": "issue:11418", "right": "issue:13484", "accept": false, - "reason": "Adding a specific safetensors file and failing to load Flux 2 dev FAL loras are different model-management problems." + "reason": "Adding a Flux fp8 weight file is not the same as failing LoRA loading on Flux 2 dev." }, { "left": "issue:11547", "right": "issue:9188", "accept": false, - "reason": "Both are Flux feature requests, but controlnet support and outpainting are distinct changes that would not plausibly merge as one fix." + "reason": "Different Flux features: controlnet support vs outpainting." }, { "left": "issue:11830", "right": "issue:9224", "accept": false, - "reason": "Both involve dtype issues, but one is a float16 black-output bug in framepack and the other is unsupported hardcoded float64 on MPS." + "reason": "Both involve dtype issues, but one is black output in Framepack with fp16 and the other is MPS incompatibility with hardcoded float64." }, { "left": "issue:11839", "right": "issue:13001", "accept": false, - "reason": "Both are GGUF loading failures, but they reference different pipelines/models and different failure modes (invalid input size vs shape mismatch)." + "reason": "Both are GGUF loading problems, but they target different Flux models/pipelines and do not clearly describe the same concrete bug." }, { "left": "issue:1197", "right": "issue:1290", "accept": false, - "reason": "These are separate community pipeline requests for unrelated projects." + "reason": "Two different community pipeline proposals with no shared code-path issue." }, { "left": "issue:1197", "right": "issue:3724", "accept": false, - "reason": "OpenAI Diffusion Pipeline and watermarking module are unrelated feature requests." + "reason": "OpenAI diffusion pipeline and watermarking module are unrelated feature ideas." }, { "left": "issue:1205", "right": "issue:4646", "accept": false, - "reason": "Both concern ONNX conversion, but Stable Diffusion conversion and ControlNet conversion are different code paths and problems." + "reason": "ONNX conversion is the only overlap; Stable Diffusion conversion and ControlNet conversion are distinct problems." }, { "left": "issue:1214", "right": "issue:967", "accept": false, - "reason": "A half-precision CLIPTextModel problem and an OnnxStableDiffusionPipeline scheduler error are different issues." + "reason": "Half-precision CLIPTextModel failure and ONNX scheduler incompatibility are different bugs." }, { "left": "issue:12308", "right": "issue:9958", "accept": false, - "reason": "Flash-attn support on non-Hopper GPUs and AutoencoderKLTemporalDecoder tiling are unrelated enhancement requests." + "reason": "Flash-attn support on non-Hopper GPUs and AutoencoderKLTemporalDecoder tiling are unrelated." }, { "left": "issue:1249", "right": "issue:1810", "accept": false, - "reason": "The ONNXPipeline device attribute error and NumPy deprecated types are related only at a high level; they do not describe the same concrete bug." + "reason": "A runtime device attribute error in ONNX pipelines is not the same as NumPy deprecated types." }, { "left": "issue:1255", "right": "issue:3300", "accept": false, - "reason": "A missing scheduler import and generic HuggingFace package breakage are not the same failure." + "reason": "Importing one scheduler failing is not the same as a broad claim that Diffusers on HuggingFace are broken." }, { "left": "issue:1304", "right": "issue:4702", "accept": false, - "reason": "Text-guided image-to-image training and VQ-VAE training are different examples/tasks." + "reason": "Training text-guided image-to-image diffusion and training a VQ-VAE are different tasks." }, { "left": "issue:1310", "right": "issue:1869", "accept": false, - "reason": "These are different community pipelines with no shared concrete bug." + "reason": "Both are community-oriented pipeline ideas, but K-Diffusion + Stable Diffusion and UnCLIP interpolations are distinct changes." }, { "left": "issue:1358", "right": "issue:4071", "accept": false, - "reason": "Safetensors support and inpaint-only+lama support are distinct feature requests." + "reason": "Safetensors support and inpaint-only+lama support are unrelated feature requests." }, { "left": "issue:1363", "right": "issue:3213", "accept": false, - "reason": "Both touch lpw/stable-diffusion, but one is an ONNX scheduler error and the other is a pipeline incompatibility regression; not the same bug." + "reason": "Both involve lpw_stable_diffusion, but one is an ONNX/LMS scheduler error and the other is a broader pipeline breakage; not clearly the same bug." }, { "left": "issue:1375", "right": "issue:305", "accept": false, - "reason": "A specific PR-induced import regression and a general import error are not the same issue." + "reason": "Both are import errors, but one is explicitly caused by PR #1365 and the other is a separate generic ImportError report." }, { "left": "issue:1482", "right": "issue:4969", "accept": false, - "reason": "An upscale pipeline request and a CrossAttention import error are unrelated." + "reason": "Stable Diffusion upscale pipeline and CrossAttention import failure are unrelated." }, { "left": "issue:1486", "right": "issue:2532", "accept": false, - "reason": "DDIMScheduler prediction_type='sample' and PanoramaPipeline get_views are separate bugs." + "reason": "DDIMScheduler prediction_type='sample' and StableDiffusionPanoramaPipeline get_views are different code paths." }, { "left": "issue:1535", "right": "issue:1536", "accept": false, - "reason": "Image Variation Pipeline and lpw_stable_diffusion incompatibility are different pipeline topics and not a shared fix." + "reason": "Image Variation Pipeline and lpw_stable_diffusion compatibility are separate pipeline issues." } ] }, @@ -98350,10 +98251,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:1546", "issue:1566", @@ -98433,12 +98334,12 @@ ], "prepared_review_unit_hash": "f2f8a460df9e31f4f088173277a42717fee1ff0ff104aea6c5f641202eaec58a", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 48, @@ -98627,10 +98528,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:2755", "issue:2763", @@ -98708,12 +98609,12 @@ ], "prepared_review_unit_hash": "7b64416cdfdb3c7beff3bc4ba1e1da742fd2c7aee9f82e54f2571da4788076ee", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -98896,10 +98797,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:3658", "issue:3677", @@ -98978,12 +98879,12 @@ ], "prepared_review_unit_hash": "65dbcc0d4aab70490b08f526d38821671a87d7035bd39cddd10cf0cb5c9b6e1b", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -99172,10 +99073,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:4504", "issue:4593", @@ -99253,12 +99154,12 @@ ], "prepared_review_unit_hash": "f8e4aa4c75a8ae3f74281b2aa5f75058c6a1b4dbe1d0213a8fef1396b535aed6", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 47, @@ -99441,10 +99342,10 @@ "review_unit_count": 364, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-50-3012", + "cluster_id": "cluster-50-3013", "nodes": [ "issue:5977", "issue:5980", @@ -99515,12 +99416,12 @@ ], "prepared_review_unit_hash": "4d8190fb89cbca0295ac88ca8ccadc6848c8e94500eb625e0b8989f2dcea514c", "component_budget": { - "node_count": 3012, - "item_count": 3012, - "soft_pair_count": 8923, - "serialized_chars": 4761743, - "estimated_input_tokens": 1190436, - "estimated_eval_tokens": 2381128 + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 }, "budget": { "node_count": 42, @@ -99691,8 +99592,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10327-2", "nodes": [ @@ -99724,18 +99625,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are related but not the same change: one is a broad fix for applying load-time quantization configs to model components, while the other requests support for a specific backend (`optimum.quanto`).", - "confidence": 0.82, - "canonical_issue_reason": "Issue #10327 is the broader, more fundamental problem statement and is the better canonical issue for the general mechanism.", + "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 best captures the underlying code-path change; #10328 looks like a specific follow-on use case rather than a duplicate.", + "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 but not duplicate: #10327 asks to apply applicable quantization configs to model components in general, while #10328 is specifically about adding `optimum.quanto` as a supported load-time `quantization_config`." + "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." } ] }, @@ -99754,8 +99655,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10375-2", "nodes": [ @@ -99787,18 +99688,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are documentation-link problems, but the evidence is too broad to treat them as the same underlying bug. I would not auto-duplicate them; if forced to pick a representative issue, 10433 is the more specific report.", - "confidence": 0.84, - "canonical_issue_reason": "issue:10433 is more specific and better described, while issue:10375 is a generic low-priority request.", + "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": "issue:10433 is the better issue to keep as the representative doc-link report because it provides the clearest, most targeted description.", + "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 the titles suggest potentially different scopes; there is not enough evidence they report the same exact broken links or the same document section." + "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." } ] }, @@ -99817,8 +99718,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6309-3", "nodes": [ @@ -99852,24 +99753,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are all doc-translation requests, but for different target languages (Chinese, Japanese, Arabic), so they are related in topic but not duplicates of the same underlying issue.", - "confidence": 0.98, - "canonical_issue_reason": null, + "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": 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": "Same translation-docs template, but different languages (Japanese vs Arabic), so they are distinct requests." + "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": "Both are docs translation requests, but Chinese and Arabic are different target languages and not the same issue." + "reason": "Different target languages (Chinese vs Arabic); same template, but distinct work items." } ] }, @@ -99888,8 +99789,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9900-2", "nodes": [ @@ -99921,18 +99822,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues do not look like the same bug. #10457 is a specific comments bug in FluxPriorReduxPipeline, while #9900 is a much vaguer repaint-related report with no shared targets or code path evidence.", - "confidence": 0.87, - "canonical_issue_reason": "#10457 is the more specific and actionable issue, with a concrete component named in the title; #9900 is vague and does not provide matching technical detail.", + "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 because it names a concrete subsystem and bug type, making it more useful for tracking and deduping.", + "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": "Reject: the titles point to different problem areas (FluxPriorReduxPipeline comments vs repaint), and there is no shared file/target evidence to suggest the same underlying bug." + "reason": "The titles point to different underlying problems and different code areas; the overlap is only generic bug language, not the same bug." } ] }, @@ -99951,8 +99852,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1046-2", "nodes": [ @@ -99984,18 +99885,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items mention pipelines, but they are about different underlying topics: custom/from_pretrained loading behavior vs. promoting community ControlNet pipelines. They do not look like the same issue.", + "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": "Issue 1046 is the more general technical report about custom pipelines and from_pretrained behavior; issue 3148 is a separate, narrower request about community ControlNet pipeline promotion.", + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "Issue 1046 is the better cluster representative because it is the broader, more concrete bug/report rather than a distinct feature/community-request topic.", + "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": "Only superficial pipeline-related overlap. 1046 is about custom pipelines/from_pretrained behavior, while 3148 is about promoting community ControlNet pipelines; different underlying problem/change." + "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." } ] }, @@ -100014,8 +99915,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10562-2", "nodes": [ @@ -100047,24 +99948,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "#10562 is the better canonical issue for this cluster, but the duplicate edge to #10599 should remain tentative: the evidence here is only title-level similarity plus a soft similarity score, without shared targets, links, or body details confirming the same bug.", - "confidence": 0.76, - "canonical_issue_reason": "#10562 is the broader, clearer symptom report and has more discussion activity, so it works best as the canonical issue for this likely-duplicate pair.", + "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": "#10562 is the best representative issue because it describes the failure mode more generally, without narrowing it to a specific source or model subset.", + "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": "Reject as an accepted duplicate edge: the packet only shows similar titles and a soft_similarity score, with no shared targets, links, filenames, or body evidence demonstrating the same underlying bug." + "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 issue summary is mostly grounded in the titles, but the soft-edge verdict is too strong for the evidence provided. The packet only shows title-level similarity plus a soft_similarity score; there are no shared targets, links, or body evidence demonstrating the same underlying bug. This should be treated as a tentative/likely duplicate, not an accepted duplicate edge." + "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, @@ -100080,8 +99981,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10621-2", "nodes": [ @@ -100113,24 +100014,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues look related and possibly duplicate, but the packet only supports a weak title-level similarity signal. There isn\u2019t enough evidence here to confidently say #11752 is the same bug as #10621 or that both point to the exact same TorchAO initialization failure.", - "confidence": 0.67, - "canonical_issue_reason": "#10621 is the better anchor because it is older and much more specific about the observed failure, so it would be the more useful reference point if these turn out to be the same problem.", + "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 strongest issue to keep as the representative report since it contains the more concrete symptom description and is more likely to capture future diagnostics.", + "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": "The evidence is too thin to treat these as the same underlying bug. We only have a soft-similarity signal and overlapping wording about LoRA loading in int8/quantized mode; that supports 'related/possibly duplicate' but not a confident duplicate merge." + "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 summary is a bit too strong for the evidence available. The packet only shows title-level similarity and a soft-similarity signal; it does not ground the claim that #11752 is the same bug as #10621 or that it is specifically the same TorchAO initialization failure. A more conservative verdict would be that the issues are related/possibly duplicates, not confidently the same underlying problem." + "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, @@ -100146,8 +100047,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2413-8", "nodes": [ @@ -100209,172 +100110,172 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "issue:2413 is the best canonical representative for the exact \"stable-diffusion-2 is missing fp16 files\" report. The rest of the cluster is highly similar and likely related, but the packet only supports soft similarity, and several items differ by model variant or file naming enough that they should not be treated as confirmed duplicates.", - "confidence": 0.76, - "canonical_issue_reason": "issue:2413 is the oldest exact match for the stable-diffusion-2 missing fp16-files complaint and is the cleanest canonical anchor for the repeated reports.", + "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 strongest cluster representative because it matches the repeated stable-diffusion-2 fp16-files wording exactly and predates the later duplicates/similar reports.", + "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": "Very similar fp16-file complaint, but different model variant (stable-diffusion-2 vs stable-diffusion-2-1); not the same concrete issue." + "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": false, - "reason": "Same broad wording, but the packet only provides soft similarity and no deterministic match; do not confirm as a duplicate on that evidence alone." + "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": false, - "reason": "Same broad wording, but the packet only provides soft similarity and no deterministic match; do not confirm as a duplicate on that evidence alone." + "accept": true, + "reason": "Same title and same stable-diffusion-2 missing-fp16 complaint; duplicate." }, { "left": "issue:11900", "right": "issue:2413", - "accept": false, - "reason": "Same broad wording, but the packet only provides soft similarity and no deterministic match; do not confirm as a duplicate on that evidence alone." + "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 missing asset and model line (fp16 files vs diffusion_pytorch_model.fp16.safetensors for stable-diffusion-2-1); related but not the same bug." + "reason": "Different model/version and different artifact wording; related category, but not the same bug report." }, { "left": "issue:2441", "right": "issue:6652", - "accept": false, - "reason": "Both concern fp16 assets, but the filenames and target model differ enough that they look like related reports rather than one duplicate." + "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": "Different model variant and file name (.bin vs generic fp16 files); not clearly the same underlying issue." + "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": "Different model variant (stable-diffusion-2 vs stable-diffusion-2-1); related but not the same issue." + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." }, { "left": "issue:11899", "right": "issue:2441", "accept": false, - "reason": "Different model variant (stable-diffusion-2 vs stable-diffusion-2-1); related but not the same issue." + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." }, { "left": "issue:2413", "right": "issue:5929", "accept": false, - "reason": "Different repository/model family entirely (stable-diffusion-2 vs stable-diffusion-v1-5); not a duplicate." + "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 repository/model family entirely (stable-diffusion-2-1 vs stable-diffusion-v1-5); not a duplicate." + "reason": "Different model families and versions; not the same underlying issue." }, { "left": "issue:11898", "right": "issue:5929", "accept": false, - "reason": "Different repository/model family entirely (stable-diffusion-2 vs stable-diffusion-v1-5); not a duplicate." + "reason": "Different model family/version; only the symptom overlaps." }, { "left": "issue:11899", "right": "issue:5929", "accept": false, - "reason": "Different repository/model family entirely (stable-diffusion-2 vs stable-diffusion-v1-5); not a duplicate." + "reason": "Different model family/version; only the symptom overlaps." }, { "left": "issue:11900", "right": "issue:5929", "accept": false, - "reason": "Different repository/model family entirely (stable-diffusion-2 vs stable-diffusion-v1-5); not a duplicate." + "reason": "Different model family/version; only the symptom overlaps." }, { "left": "issue:10680", "right": "issue:6652", "accept": false, - "reason": "Similar missing-file theme, but different model variant and file format detail; not the same concrete problem." + "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 variant (stable-diffusion-2 vs stable-diffusion-2-1) and no deterministic match evidence." + "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 variant (stable-diffusion-2 vs stable-diffusion-2-1) and no deterministic match evidence." + "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": "Different model variant and file name detail: stable-diffusion-2-1-base missing diffusion_pytorch_model.fp16.bin vs stable-diffusion-2 missing fp16 files." + "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 variant: stable-diffusion-2-1-base vs stable-diffusion-2." + "reason": "Different model targets: 2-1-base vs 2." }, { "left": "issue:10680", "right": "issue:11899", "accept": false, - "reason": "Different model variant: stable-diffusion-2-1-base vs stable-diffusion-2." + "reason": "Different model targets: 2-1-base vs 2." }, { "left": "issue:11898", "right": "issue:11899", - "accept": false, - "reason": "The titles match closely, but the packet provides only soft similarity; that is not enough to assert a duplicate with certainty." + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." }, { "left": "issue:11898", "right": "issue:11900", - "accept": false, - "reason": "The titles match closely, but the packet provides only soft similarity; that is not enough to assert a duplicate with certainty." + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." }, { "left": "issue:11899", "right": "issue:11900", - "accept": false, - "reason": "The titles match closely, but the packet provides only soft similarity; that is not enough to assert a duplicate with certainty." + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." }, { "left": "issue:11900", "right": "issue:2441", "accept": false, - "reason": "Different model variant (stable-diffusion-2 vs stable-diffusion-2-1); similar symptoms, not the same issue." + "reason": "Different model versions: stable-diffusion-2 vs stable-diffusion-2-1." }, { "left": "issue:11900", "right": "issue:6652", "accept": false, - "reason": "Different model variant and file naming; related reports, but not a confirmed duplicate." + "reason": "Different model target and file-specific complaint; not the same issue." } ] }, "evaluator_result": { - "accept": false, - "feedback": "The canonical choice is plausible, but the soft-edge decisions are too strong for the evidence in the packet. Every pair is supported only by soft_similarity and the packet\u2019s deterministic_accept is false throughout, so marking pairs like issue:11898\u2194issue:2413 (and 11898\u219411899/11900) as true overstates the evidence. The summary is also a bit too definitive: it should say these issues are highly similar or likely related, not a clear duplicate set." + "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": true, - "accepted_nontrivial_soft_edge": false, + "retried": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -100386,8 +100287,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1074-5", "nodes": [ @@ -100425,36 +100326,36 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are all separate help/usage questions around generative-model workflows, but they describe different tasks and code paths. None of the soft-similarity pairs looks like the same underlying issue.", - "confidence": 0.95, - "canonical_issue_reason": "No single issue is a clear canonical duplicate target; the titles cover distinct questions: saving JAX models, JAX inference, inpaint model selection, ControlNet inference code, and model inversion.", + "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": "No best issue candidate: the cluster is not a duplicate cluster, and each issue asks about a different feature or usage scenario.", + "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": "Related only by JAX/model usage; one asks how to save JAX models, the other asks how to run JAX inference. Different workflows, not the same bug/question." + "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": "Saving JAX models and choosing an inpaint model are unrelated topics." + "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 code are different model types and different questions." + "reason": "Inpaint model loading vs. ControlNet inference implementation are different code-path questions." }, { "left": "issue:3329", "right": "issue:5551", "accept": false, - "reason": "Model selection for inpainting is not the same as asking whether pretrained models can be inverted." + "reason": "Loading a specific inpaint model is not the same as asking whether any pretrained model can be inverted." } ] }, @@ -100473,8 +100374,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-807-4", "nodes": [ @@ -100510,30 +100411,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster is loosely related by Dreambooth/textual inversion training, but the issues describe different failures: memory limits, dtype mismatch, and train-text-encoder/type errors. I do not see a true duplicate set here.", - "confidence": 0.81, - "canonical_issue_reason": "Issue #807 is the broadest and most central training-failure report in the group, but it still does not clearly cover the other error modes.", + "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": "#807 is the strongest representative only because it is the most general and highest-signal Dreambooth training complaint in the set; however, it should not be treated as a full duplicate canonical for the others.", + "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": "Same general Dreambooth area, but #807 is about not training on 8GB/memory constraints while #918 is a train-text-encoder type error; different underlying bugs and code paths." + "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": "#2084 is a specific UNet dtype mismatch ValueError (fp16 vs fp32), not the 8GB training failure reported in #807." + "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": "These refer to different features and failures: textual inversion with DeepSpeed versus Dreambooth train-text-encoder type errors." + "reason": "Textual inversion with DeepSpeed fallback is a different code path and symptom than the Dreambooth train-text-encoder type error." } ] }, @@ -100552,8 +100453,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1094-3", "nodes": [ @@ -100587,24 +100488,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related performance-improvement ideas, but they are not the same underlying issue. Two are narrowly scoped explorations (kernl, TransformerEngine), while one is a broader umbrella for convolution and other speed optimizations.", - "confidence": 0.87, - "canonical_issue_reason": "Issue 3227 is the best cluster representative because it is the broadest and most current performance-optimization umbrella, whereas 1094 and 1288 are narrower, tool-specific explorations.", + "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": "Issue 3227 is the strongest global issue candidate due to its open status and broader scope covering multiple optimization avenues rather than a single vendor/tool proposal.", + "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 speed-focused exploration items, but one targets kernl and the other NVIDIA TransformerEngine; they are distinct optimization proposals, not the same bug/change." + "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 overlap only at a high level on performance work. 1288 is specifically about TransformerEngine, while 3227 is a broader umbrella for Winograd convolution and other optimizations." + "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." } ] }, @@ -100623,8 +100524,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11008-5", "nodes": [ @@ -100663,48 +100564,51 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These issues cluster around Wan video / RemoteVAE, but they do not look like exact duplicates; they vary from a broad model-support request to specific VAE behavior and vague feedback items.", - "confidence": 0.72, - "canonical_issue_reason": "issue:11304 is the most concrete and actionable report in the set: it names a specific Remote VAE behavior ('allow unpacked latents') rather than a broad feature request or vague feedback.", + "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:11304 is the best representative because it is specific, describes a clear code-path problem, and is more triageable than the broader Wan video / requirements / feedback tickets.", + "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": "Both mention Wan video, but 11008 is a general 'support wan2.1 video model' request while 11326 is about RemoteVae; they do not describe the same underlying bug or change." + "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": "A support request for a specific video model and a vague 'requirements for model use' issue are not the same defect or feature change." + "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": "11304 is a specific Remote VAE bug/behavior request about unpacked latents, while 12465 is generic 'Remote VAE feedback' without the same concrete code-path target." + "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": "They are related to Remote VAE, but one is specifically about unpacked latents and the other is a broader Wan Video Vae/RemoteVae issue; not enough evidence they are the same underlying fix." + "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": "Both are Remote VAE-themed, but 11326 is a concrete Wan Video VAE issue while 12465 is broad feedback; they do not clearly collapse to one identical bug or change." + "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": null, - "evaluator_used": false, - "retried": false, + "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 @@ -100717,8 +100621,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9085-5", "nodes": [ @@ -100757,42 +100661,42 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These items are thematically related ControlNet feature requests, but they target different models and different API gaps (training script vs img2img pipeline vs prompt_embeds), so they should not be merged as duplicates.", - "confidence": 0.87, - "canonical_issue_reason": "issue:9085 is the most central and concrete ControlNet request in the set (\u201ccontrolnet training script for flux\u201d); the other issues mention different models or a different feature surface, so they are not the same bug/change.", + "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 best representative issue because it most directly matches the shared ControlNet training-script theme, while the others are narrower or unrelated in model/API scope.", + "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 they are for different models (Sana vs Flux) and 11019 also asks for a pipeline, so this is not the same underlying request." + "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": "These are both training-script asks, but for different models (z-image vs Flux); not a single duplicate change request." + "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": "9085 is about a training script, while 9151 is about adding an img2img ControlNet pipeline; different API surface and likely different code paths." + "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": "9151 is a Flux ControlNet pipeline request, whereas 9910 is about adding prompt_embeds to StableDiffusionLatentUpscalePipeline; unrelated functionality." + "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 ask for support for different models (Sana vs z-image) and are not the same concrete feature/change." + "reason": "Both are ControlNet-related, but they target different models (Sana vs Z-Image) and different asks, so they are not duplicates." } ] }, @@ -100811,8 +100715,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11121-2", "nodes": [ @@ -100842,11 +100746,11 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are about the same feature request: adding SageAttention support for the diffuser library. Issue #11168 is the better canonical record because it is newer, more specific, and has more discussion/reference activity.", - "confidence": 0.89, - "canonical_issue_reason": "#11168 is more detailed and explicitly scoped to Sage Attention in the diffuser library, making it the best single issue to keep as the canonical feature request.", + "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 strongest representative because it is the more explicit request and already has follow-up discussion/inbound references.", + "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": [] }, @@ -100865,8 +100769,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7925-2", "nodes": [ @@ -100898,18 +100802,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are both about ControlNet training, but they describe different scenarios and symptoms: one is Flux ControlNet training on a toy dataset with poor results, the other is ControlNet + LoRA training problems. They are related at a broad subsystem level, but not the same underlying bug report.", - "confidence": 0.76, - "canonical_issue_reason": "No clear duplicate pair here. If one issue must be kept as the representative report, #11181 is more specific about the failing path (train_controlnet_flux.py on fill50k) and the observed symptom.", + "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": "#11181 is the better issue to surface because it is more concrete and narrowly describes a specific training script and failure mode.", + "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": "Reject: both mention ControlNet training, but one is Flux ControlNet on a toy dataset and the other is ControlNet+LoRA training problems. The titles do not indicate the same concrete bug or code path." + "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." } ] }, @@ -100928,8 +100832,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11267-2", "nodes": [ @@ -100961,18 +100865,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are unrelated: one requests adding `onnxruntime-qnn` to a list, the other requests custom `output_params` support in `export_to_video`. No duplicate/canonical cluster target is evident.", - "confidence": 0.98, + "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": "Neither issue is a good canonical representative for the other because they concern different features and code paths. If forced to pick one, #12542 is the more specific implementation request, but it is not a duplicate of #11267.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:11267", "right": "issue:12542", "accept": false, - "reason": "Different topics and different underlying changes: package/list entry vs video export API parameter support. No same-bug/same-change evidence." + "reason": "Different feature requests in different code areas; no shared underlying bug or change." } ] }, @@ -100991,8 +100895,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2419-12", "nodes": [ @@ -101074,264 +100978,264 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster is dominated by duplicate reports about missing fp16 files for CompVis/stable-diffusion-v1-4, with separate smaller subclusters for stabilityai/stable-diffusion-2-base and other distinct models/files. Canonical pick: the earliest exact v1-4 report.", - "confidence": 0.83, - "canonical_issue_reason": "issue:2419 is the earliest exact-match report for the main duplicate set (CompVis/stable-diffusion-v1-4 missing fp16 files).", + "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 cleanest representative: exact title match, earliest in the v1-4 thread, and central to the largest duplicate group.", + "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 model/repo and same missing-fp16 variant problem; later duplicate of the v1-4 thread." + "reason": "Same repo/model family and same missing-fp16-files problem." }, { "left": "issue:11460", "right": "issue:2419", "accept": true, - "reason": "Same v1-4 missing fp16-files report, just a later duplicate phrased similarly." + "reason": "Same stable-diffusion-v1-4 fp16 missing-files issue." }, { "left": "issue:12125", "right": "issue:2419", "accept": true, - "reason": "Same underlying v1-4 fp16-file omission as the canonical issue." + "reason": "Same underlying stable-diffusion-v1-4 fp16 missing-files bug." }, { "left": "issue:2419", "right": "issue:2601", "accept": false, - "reason": "Different checkpoint (v1-4 vs v1-5); same symptom but not the same issue." + "reason": "Different model repo; same symptom but not the same concrete bug." }, { "left": "issue:2419", "right": "issue:5492", "accept": false, - "reason": "Different model family and repo target (v1-4 vs stable-diffusion-2-base)." + "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 (v1-4 vs v1-5), so not the same duplicate." + "reason": "Different model repo and checkpoint." }, { "left": "issue:11460", "right": "issue:2601", "accept": false, - "reason": "Different checkpoint/repo; same general class of error but separate issue." + "reason": "Different repo/model; only the fp16 symptom overlaps." }, { "left": "issue:12125", "right": "issue:2601", "accept": false, - "reason": "Different stable-diffusion release; not the same concrete bug report." + "reason": "Different repo/model, not one mergeable bug." }, { "left": "issue:2601", "right": "issue:5492", "accept": false, - "reason": "Both mention fp16 files, but for different model checkpoints and separate artifacts." + "reason": "Different checkpoints; not the same artifact missing file set." }, { "left": "issue:2611", "right": "issue:5492", "accept": false, - "reason": "Different missing artifact type and different model family." + "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 model and different missing filename; not a duplicate." + "reason": "Different repo and different missing filename/type." }, { "left": "issue:12253", "right": "issue:2611", "accept": false, - "reason": "Different checkpoint and different file-type complaint; only loosely related." + "reason": "Different model family and different missing file." }, { "left": "issue:2419", "right": "issue:2611", "accept": false, - "reason": "Different model and different missing file name; not the same bug." + "reason": "Different concrete missing-file problem." }, { "left": "issue:2601", "right": "issue:2611", "accept": false, - "reason": "Different model and different artifact missing; same broad area only." + "reason": "Different repository and different missing artifact." }, { "left": "issue:12253", "right": "issue:5492", "accept": true, - "reason": "Same stable-diffusion-2-base checkpoint and same missing-fp16 variant issue." + "reason": "Both are the same stabilityai/stable-diffusion-2-base fp16 missing-files issue." }, { "left": "issue:5492", "right": "issue:5918", "accept": false, - "reason": "Different checkpoint (2-base vs 2-1-base) and specific missing filename differs." + "reason": "Different model versions and different missing artifact specifics." }, { "left": "issue:2419", "right": "issue:5863", "accept": true, - "reason": "Same v1-4 missing-fp16 problem; 5863 is just a rephrasing of the same report." + "reason": "Same stable-diffusion-v1-4 fp16 filenames problem, just phrased more specifically." }, { "left": "issue:11295", "right": "issue:5863", "accept": true, - "reason": "Same v1-4 fp16-files omission, with equivalent wording." + "reason": "Same stable-diffusion-v1-4 missing-fp16-files bug." }, { "left": "issue:11460", "right": "issue:5863", "accept": true, - "reason": "Same underlying v1-4 variant-file issue." + "reason": "Same underlying v1-4 fp16 filename issue." }, { "left": "issue:12125", "right": "issue:5863", "accept": true, - "reason": "Same exact bug class and same model/repo target." + "reason": "Same repo/model and same missing fp16 files." }, { "left": "issue:12253", "right": "issue:5863", "accept": false, - "reason": "Different checkpoint family; not the same concrete missing-file instance." + "reason": "Different checkpoint family; not the same bug." }, { "left": "issue:12253", "right": "issue:5918", "accept": false, - "reason": "Same broad fp16 theme, but different model checkpoint and specific missing file." + "reason": "Different model family and different specific missing file." }, { "left": "issue:2419", "right": "issue:5918", "accept": false, - "reason": "Different model checkpoint and different missing filename; not a duplicate." + "reason": "Different checkpoint/version and a different filename-specific issue." }, { "left": "issue:2601", "right": "issue:5918", "accept": false, - "reason": "Different checkpoint and artifact name; separate issue." + "reason": "Different repo/model family." }, { "left": "issue:2419", "right": "issue:7198", "accept": false, - "reason": "Different model/repo entirely; same symptom only at a high level." + "reason": "Different repo/model; only the fp16 symptom is shared." }, { "left": "issue:11295", "right": "issue:7198", "accept": false, - "reason": "Different checkpoint; not the same underlying bug." + "reason": "Different checkpoint family." }, { "left": "issue:11460", "right": "issue:7198", "accept": false, - "reason": "Different model family, so do not merge." + "reason": "Different repo/model, not one concrete bug." }, { "left": "issue:12125", "right": "issue:7198", "accept": false, - "reason": "Different repo/checkpoint; only superficially similar." + "reason": "Different checkpoint/repo." }, { "left": "issue:2601", "right": "issue:7198", "accept": false, - "reason": "Different model artifacts and repository target." + "reason": "Different model repository and artifact set." }, { "left": "issue:11295", "right": "issue:11460", "accept": true, - "reason": "Same exact v1-4 missing-fp16 issue; clearly duplicate reports." + "reason": "Exact same stable-diffusion-v1-4 missing-fp16-files report." }, { "left": "issue:11295", "right": "issue:12125", "accept": true, - "reason": "Same v1-4 fp16-files omission report." + "reason": "Exact same underlying v1-4 fp16 missing-files issue." }, { "left": "issue:11295", "right": "issue:5492", "accept": false, - "reason": "Different model checkpoint and repo." + "reason": "Different model checkpoint family." }, { "left": "issue:11460", "right": "issue:12125", "accept": true, - "reason": "Same model/repo and same missing fp16 files." + "reason": "Same repo/model and same fp16 missing-files bug." }, { "left": "issue:11460", "right": "issue:12253", "accept": false, - "reason": "Different checkpoint family; not the same bug instance." + "reason": "Different checkpoint family." }, { "left": "issue:12125", "right": "issue:5492", "accept": false, - "reason": "Different model checkpoints (v1-4 vs stable-diffusion-2-base)." + "reason": "Different model repo/version." }, { "left": "issue:12253", "right": "issue:13061", "accept": false, - "reason": "Different model/repo and different specific missing artifact." + "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 but not the same report." + "reason": "Different checkpoint family; same broad symptom only." }, { "left": "issue:13061", "right": "issue:5863", "accept": false, - "reason": "Different model and artifact context; only shares the fp16 keyword." + "reason": "Different model and a different fp16-related error path." }, { "left": "issue:11295", "right": "issue:13061", "accept": false, - "reason": "Different repository and model checkpoint." + "reason": "Different repository/model." }, { "left": "issue:11460", "right": "issue:13061", "accept": false, - "reason": "Different model/repo; not a mergeable duplicate." + "reason": "Different repository/model and issue type." }, { "left": "issue:12125", "right": "issue:13061", "accept": false, - "reason": "Different artifact target and checkpoint family." + "reason": "Different model repo and unrelated filename availability problem." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: 2419 is the earliest exact title match for the v1-4 fp16-files cluster, the duplicate links among 2419/11295/11460/12125/5863 are conservative, and the rejected pairs correctly keep distinct checkpoints/models separate. No unsupported PR-pair merge claim is present." + "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, @@ -101347,8 +101251,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11390-2", "nodes": [ @@ -101380,18 +101284,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are thematically related only at a very high level (both are training-script follow-ups) but they describe different changes: image interpolation vs. LoRA alpha/metadata handling. They should not be clustered as duplicates.", - "confidence": 0.96, - "canonical_issue_reason": "issue #11390 is the more central representative: it has higher discussion/inbound reference activity and a broader, more general training-scripts follow-up scope.", + "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": "issue #11390 is the best issue to represent the cluster because it appears more widely referenced and is the more established follow-up thread.", + "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": "Reject: the titles and implied fixes concern different underlying problems in training scripts (image interpolation vs. LoRA alpha/metadata handling), so they are not the same issue." + "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." } ] }, @@ -101410,8 +101314,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-478-5", "nodes": [ @@ -101449,42 +101353,42 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The only likely duplicate pair is the PT<=>Flax conversion-script feature request (issues 478 and 523). The Flax bug reports and the dropout request are about different problems/features and should stay separate.", + "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 523 is the clearest representative: it names the same conversion-script feature as 478, has a substantive body, and is more specific than the terse numbered title in 478.", + "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 523 is the best global issue candidate because it is the most descriptive duplicate target for the conversion-script request and is more informative than 478.", + "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 feature request: both ask for a PT <=> Flax conversion script, and the titles are effectively equivalent." + "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 requests: 522 is about adding dropout to a Flax UNet, while 523 is about a Flax/PT conversion script." + "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": "Not the same bug or change: 1145 reports Flax 0.7.0 not working, while 522 requests a new dropout feature." + "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 the problems are unrelated: 1145 says 0.7.0 is not working, while 1238 reports a crazy-loss issue." + "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 summary is well grounded in the packet. The 478\u2194523 pair is a conservative duplicate call based on nearly identical conversion-script titles, and the non-duplicate verdicts for 522, 1145, and 1238 are appropriately cautious given the different issue themes. The canonical choice of 523 is also reasonable because it is the more descriptive of the two conversion-script issues." + "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, @@ -101500,8 +101404,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-960-5", "nodes": [ @@ -101539,36 +101443,36 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is mostly a set of similar-but-distinct \u201cwhat\u2019s the difference between X and Y?\u201d questions. Issue 2720 is the broadest and best representative for the LoRA comparison theme, but the other items are not duplicates of the same underlying question.", - "confidence": 0.88, - "canonical_issue_reason": "issue:2720 is the clearest hub for the LoRA comparison topic and the broadest representative among the related questions.", + "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 best fits the cluster because it is the most central, generic comparison question and can serve as the representative issue.", + "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 topic: LoRA training-script comparison vs PNDM vs PLMS scheduler comparison." + "reason": "Different topics entirely: LoRA training-script comparison vs scheduler comparison (PNDM vs PLMS)." }, { "left": "issue:11542", "right": "issue:2720", "accept": false, - "reason": "Related wording, but the targets differ: script path comparison within LoRA examples vs DreamBooth LoRA vs text-to-image LoRA." + "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": "Different question: training script difference vs DreamBooth LoRA vs DreamBooth conceptual difference." + "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": "Both mention LoRA, but one asks DreamBooth LoRA vs traditional LoRA and the other asks two training scripts; not the same underlying issue." + "reason": "Different comparison target: DreamBooth LoRA vs traditional LoRA, versus text-to-image LoRA vs DreamBooth LoRA." } ] }, @@ -101587,8 +101491,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11691-2", "nodes": [ @@ -101620,24 +101524,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two closed issues with identical spam-like titles and matching content signals; they appear to be the same report, so they can be clustered together as duplicates.", - "confidence": 0.99, - "canonical_issue_reason": "Issue #11691 is as good a canonical representative as #11692; it is the earlier of two indistinguishable spam issues.", + "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": "Issue #11691 is the best issue representative because it appears first and has no distinguishing differences from #11692.", + "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": "Same title and identical content signal; no evidence of distinct underlying issues." + "reason": "Identical spam-like issues with no substantive differences; they appear to be the same underlying artifact." } ] }, "evaluator_result": { "accept": true, - "feedback": "The clustering is grounded in the packet: both issues have the same title, identical body length, identical closed state, and the pair is marked with soft_similarity at Jaccard 1.0. The canonical choice of the earlier issue is reasonable, and the duplicate verdict is suitably conservative." + "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, @@ -101653,8 +101557,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4047-2", "nodes": [ @@ -101686,18 +101590,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are both LoRA-related, but they describe different problems: one is a compiled-model adapter bug, the other is a question about setting LoRA scale at load time. They should not be clustered as duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "Issue #11766 is the clearer concrete bug report and is more actionable as the canonical issue for this cluster.", + "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": "Issue #11766 is the best representative because it describes a specific failure mode rather than a usage question.", + "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": "Not the same underlying problem: #11766 reports a bug when setting adapters on a compiled model, while #4047 asks how to set LoRA scale when loading a LoRA model. They are related only by LoRA terminology, not by the same code path or fix." + "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." } ] }, @@ -101716,8 +101620,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11798-2", "nodes": [ @@ -101749,18 +101653,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are model-specific feature requests for GGUF support, but they target different models and do not look like the same underlying issue.", - "confidence": 0.92, - "canonical_issue_reason": "No single canonical issue: the requests are about different models (Cosmos-Predict2 vs Z-Image-Turbo), so they are not duplicates.", + "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 representative for the general GGUF-support request, but only as a standalone issue\u2014not as a duplicate of 11798.", + "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": "Same broad topic (GGUF support) but different target models and likely different implementation paths; not the same underlying bug/change." + "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." } ] }, @@ -101779,8 +101683,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9383-2", "nodes": [ @@ -101812,18 +101716,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are both Flux-related feature requests, but they ask for different capabilities: one for flux_control/kontext dev support, the other for bitsandbytes + LoRA model support. They are not the same underlying bug or change.", - "confidence": 0.96, - "canonical_issue_reason": "If a single representative is needed, issue #11817 is the more specific and recent request; however, the pair does not appear to be duplicates.", + "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 cleaner representative of the cluster because it is more specific, but neither issue is a true duplicate of the other.", + "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": "Different requests in the same broad Flux area: one asks for flux_control/kontext dev support, the other asks for bitsandbytes + LoRA model support. No evidence they describe the same bug or change." + "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." } ] }, @@ -101842,8 +101746,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9585-2", "nodes": [ @@ -101875,18 +101779,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are closely related in topic (guidance behavior in diffusion models) but they describe different methods/proposals: APG vs FDG. They should not be treated as duplicates.", - "confidence": 0.84, - "canonical_issue_reason": "issue:9585 is the broader and earlier open discussion about high-guidance artifacts in diffusion models; issue:11956 appears to be a separate follow-on method (FDG), not the same underlying issue.", + "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 representative of the cluster because it frames the general problem more broadly and has the more established discussion, while issue:11956 is a distinct technique proposal.", + "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": "Related topic, but not the same underlying bug/change: FDG and APG are different guidance methods with different claims and goals, so they should not be merged as duplicates." + "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." } ] }, @@ -101905,8 +101809,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12295-3", "nodes": [ @@ -101940,24 +101844,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The three issues are only loosely related by model/text-sequence-length terminology. They do not look like the same underlying bug, so the soft links should not be merged. The most canonical issue is the specific Qwen Image text-sequence-length report.", - "confidence": 0.67, - "canonical_issue_reason": "Issue 12344 is the most concrete and action-oriented: it names a specific redundant field in Qwen Image and is likely the clearest bug report to anchor the cluster.", + "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 because it is specific, narrow, and describes an actual fix target, unlike the broader/less focused neighboring issues.", + "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": "Both are about Qwen Image, but one is a broad 'Various' pipeline issue and the other is a specific redundant-parameter bug; they do not clearly describe the same underlying defect." + "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": "They mention text sequence length, but they concern different models (Qwen Image vs Z-Image) and no evidence shows the same concrete bug or fix path." + "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." } ] }, @@ -101976,8 +101880,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-282-2", "nodes": [ @@ -102009,18 +101913,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are unrelated: one reports a Dreambooth learning-rate restart bug, the other reports CPU inpainting failure. They do not look like the same underlying defect.", - "confidence": 0.98, - "canonical_issue_reason": null, + "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 more specific, self-contained bug report and is a better representative issue for this cluster, though the items are not duplicates.", + "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 features and failure modes: Dreambooth cosine_with_restarts scheduling vs inpainting on CPU. No shared code-path or concrete bug linkage is evident." + "reason": "Different underlying problems and code paths: Dreambooth cosine_with_restarts behavior versus CPU support for inpainting. They do not describe the same bug." } ] }, @@ -102039,8 +101943,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12375-2", "nodes": [ @@ -102072,28 +101976,28 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are effectively the same request: both ask which kernels should be integrated into Diffusers, with the later one just reframing it as an optimization call.", - "confidence": 0.96, - "canonical_issue_reason": "Issue #12375 is the earlier, cleaner formulation of the same request and is the best representative for the cluster.", + "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": "Issue #12375 is the most canonical because it states the topic succinctly without added framing, while still matching the later issue\u2019s intent.", + "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": true, - "reason": "Same underlying request about which kernels to integrate in Diffusers; the titles are near-paraphrases and no evidence suggests distinct topics." + "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": true, - "feedback": "The assessment is grounded in the packet: both issues ask which kernels should be integrated into Diffusers, and the later title is a straightforward reframing rather than a different topic. The soft-edge accept is conservative enough given the limited evidence, and no unsupported distinctions are introduced." + "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": false, - "accepted_nontrivial_soft_edge": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -102105,8 +102009,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12410-2", "nodes": [ @@ -102138,18 +102042,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two closed issues are about different pipelines and different failure modes, so they do not appear to be duplicates of the same underlying bug.", - "confidence": 0.97, - "canonical_issue_reason": null, + "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": 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 components and problems: WanVACEPipeline failing in low-noise-only mode vs SkyReelsV2DiffusionForcingPipeline missing package availability checks. The similarity is only superficial, not the same bug." + "reason": "Different pipelines and different failure classes: low-noise-stage behavior vs missing available-package checks. They do not describe the same underlying bug." } ] }, @@ -102168,8 +102072,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12569-3", "nodes": [ @@ -102204,30 +102108,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are three separate feature-request issues for different capabilities (TaylorSeer, unified attention, TeaCache); they do not appear to be duplicates.", + "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": "No canonical issue: the titles and contexts describe distinct features, not the same underlying request.", + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "#12589 is the best representative only in the sense that it is open and most recently active, but it is still a distinct feature request from the others.", + "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 (TaylorSeer vs unified attention); no same underlying bug/change." + "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 proposals, not duplicates." + "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 are unrelated feature requests; do not merge." + "reason": "Unified attention and TeaCache target different model components and do not look mergeable as one change." } ] }, @@ -102246,8 +102150,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1257-3", "nodes": [ @@ -102281,31 +102185,34 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These issues are thematically related around img2img/pipeline design, but they describe different problems: API naming standardization, why img2img is separate, and pipeline-switch model loading.", - "confidence": 0.82, - "canonical_issue_reason": "issue:1257 is the most concrete and actionable item: it targets a specific API standardization across pipelines, unlike the broader design-discussion issues.", + "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": "issue:1257 is the best representative because it is the most narrowly scoped and fix-oriented of the three.", + "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": false, - "reason": "Related to the same img2img area, but one is about normalizing an input parameter name while the other \u0938\u0935\u093e\u0932s why img2img exists as a separate pipeline. Different underlying change/problem." + "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": "Both mention pipeline switching only at a broad level, but one is a design question about pipeline separation and the other is about reducing model loads. Not the same bug or change." + "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": null, - "evaluator_used": false, + "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": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -102317,8 +102224,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1266-2", "nodes": [ @@ -102350,18 +102257,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are related in theme, but they do not look like the same exact bug report. #1295 is a narrower notebook-specific failure about running multiple prompts, while #1266 is a broader \u201cunable to run prompt\u201d report. I would not merge them as duplicates on the available evidence.", - "confidence": 0.69, - "canonical_issue_reason": "#1295 is the more specific and actionable issue, describing a concrete failure mode in `stable diffusion fast jax.ipynb` rather than a broad inability to run a prompt.", + "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": "#1295 is the better representative issue because it names the affected notebook and the exact scenario (\u201cmultiple prompts\u201d), making it more useful for triage and remediation.", + "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": "They are topically similar, but the titles suggest different scopes: one is a generic prompt-running problem, the other is specifically about running multiple prompts in a notebook. That is not enough to treat them as the same underlying bug." + "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." } ] }, @@ -102380,8 +102287,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12864-2", "nodes": [ @@ -102413,24 +102320,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are near-duplicate feature requests asking for a Diffusers/Hugging Face Diffusers Claude Skill and a Claude Code plugin. They describe the same requested artifacts and differ only in wording.", - "confidence": 0.96, - "canonical_issue_reason": "Issue 12935 is the clearer representative: it explicitly names Hugging Face Diffusers and the requested Claude/Claude Code artifacts, matching the duplicate request more precisely.", + "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 global issue because it is the most specific and readable formulation of the feature request, making it a strong consolidation target.", + "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 request: create a Diffusers/Hugging Face Diffusers Claude Skill and Claude Code plugin; the titles differ only by wording." + "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: the two issue titles are near-paraphrases requesting a Diffusers/Hugging Face Diffusers skill for Claude and a plugin for Claude Code. The soft-edge acceptance is conservative enough given the strong title overlap and lack of contrary evidence." + "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, @@ -102446,8 +102353,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12925-2", "nodes": [ @@ -102479,18 +102386,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two closed issues about different LTX-2 workstreams: one for distilled checkpoint support and one for the condition pipeline. They are related to the same model family but describe separate feature requests, not duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "Issue #12926 is slightly broader and more likely to subsume follow-on implementation details around the LTX-2 condition pipeline, while #12925 is a narrower checkpoint-support request.", + "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": "#12926 is the better representative because its title suggests a core pipeline change rather than a narrow compatibility/task item, making it more likely to anchor related LTX-2 work.", + "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 underlying changes: distilled checkpoint support vs condition pipeline. They may be related within LTX-2, but the titles indicate separate problems/features rather than the same bug or change." + "reason": "Different scopes: distilled checkpoint support versus condition pipeline. No shared target, filename, or concrete bug/change indicating the same underlying issue." } ] }, @@ -102509,8 +102416,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1296-2", "nodes": [ @@ -102542,18 +102449,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are related by topic/name, but they do not clearly describe the same underlying bug or change. This looks more like an original Paella thread and a later Paella v3 follow-up than duplicates.", - "confidence": 0.57, - "canonical_issue_reason": "Issue 3134 is the more specific and likely better umbrella/updated thread ('Paella v3'), with higher inbound references than the generic 'Paella' issue.", + "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 best representative if one must be chosen because it is more specific and appears to be the later, more established discussion.", + "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/title only. 'Paella' vs 'Paella v3' suggests a related follow-up rather than the same exact issue, and there are no explicit links, shared targets, or other strong signals of duplication." + "reason": "Shared topic only; the titles suggest a related follow-up/versioning relationship, not the same concrete issue." } ] }, @@ -102572,8 +102479,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-871-9", "nodes": [ @@ -102640,186 +102547,186 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are separate closed Community Pipeline proposal issues for different features/pipelines (speech-to-image, wildcards, seed resize, checkpoint merging, Imagic, etc.), not duplicates of the same underlying bug/change. The shared phrasing and topic area explain the soft-similarity signals, but each issue targets a different pipeline or workflow.", + "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": "issue:871 is a good canonical representative because it has the broad Community Pipeline framing, relatively high inbound references, and a central requested feature (speech to image) among the set of related but distinct pipeline proposals.", + "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 single issue to anchor the cluster view: it is well-engaged, broadly representative of the Community Pipeline request pattern, and not overly narrow compared with several other topic-specific proposals.", + "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": "Different community pipeline ideas: speech-to-image vs. text-based real image editing (Imagic)." + "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 distinct workflows, not the same bug or feature." + "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 are unrelated pipeline features." + "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 different custom generation methods." + "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 address different functionality." + "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 separate pipeline enhancements with different behavior." + "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 not the same underlying change." + "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 solve different community pipeline needs." + "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 pipeline techniques." + "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 comparison are clearly different requests." + "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 distinct features, not duplicates." + "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": "Model-version comparison and seed resize are unrelated proposals." + "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 target different code paths and behavior." + "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": "Version comparison and checkpoint merging are separate topics." + "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 are different pipeline capabilities." + "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 unrelated requests." + "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 changes." + "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 related only broadly, but they are not the same concrete feature." + "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 address different editing/generation methods." + "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 community pipeline concepts." + "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 pipeline features." + "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 separate technical changes." + "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 different workflows with no same underlying bug/change." + "reason": "Wildcards and Imagic are unrelated community pipeline ideas." }, { "left": "issue:873", "right": "issue:895", "accept": false, - "reason": "SD v1-v4 compare and Imagic are unrelated community pipeline requests." + "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 do not describe the same feature or fix." + "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 ideas." + "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 image-editing pipelines." + "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 separate community pipeline requests." + "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 features, not duplicates." + "reason": "RePaint + Stable Diffusion and Wildcards are different feature requests, not the same underlying change." } ] }, @@ -102838,8 +102745,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13362-2", "nodes": [ @@ -102871,18 +102778,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related only thematically: both concern input validation in diffusion schedulers/pipelines, but they describe different bugs and different fixes. They should not be clustered as duplicates.", - "confidence": 0.94, - "canonical_issue_reason": "Issue #13394 is the more concrete and actionable report: it identifies a specific missing validation path, names the affected class, and notes the inconsistency with DDIMScheduler.", + "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": "#13394 is the best representative because it states a clear runtime bug with a precise edge case (`num_inference_steps=0`) and a direct behavioral expectation.", + "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": "Different underlying bugs: one is DDIMPipeline eta range validation vs documented bounds, the other is DDPMScheduler accepting `num_inference_steps=0`. Same validation theme, but not the same code-path or fix." + "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." } ] }, @@ -102901,8 +102808,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1364-4", "nodes": [ @@ -102940,48 +102847,48 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Only issue 6853 and 6854 look like the same request; the other two are unrelated community questions about different Stable Diffusion topics.", + "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; 6854 appears to be a near-duplicate/echo of 6853 with an empty body and the same title context.", + "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 because it has the clearer original request, while 6854 adds no new information.", + "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": "Different topics: pre-training code question vs. inpainting training replacement request." + "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: pre-training code question vs. inpainting training replacement request." + "reason": "Different topics: general pre-training code question vs a specific inpainting training replacement request." }, { "left": "issue:2280", "right": "issue:6853", "accept": false, - "reason": "Different topics: conversion script for inpainting vs. request to replace inpainting training." + "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": "Different topics: conversion script for inpainting vs. request to replace inpainting training." + "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 underlying request; 6854 is essentially a duplicate reference to 6853 with no additional content." + "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 assessment is grounded in the packet: 6853 and 6854 have essentially the same title, with 6854 explicitly referencing #6853 and no body content, so treating them as the same request is reasonable. The other two issues are clearly about different topics by title, so the negative soft-edge verdicts are conservative." + "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, @@ -102997,8 +102904,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-138-2", "nodes": [ @@ -103030,18 +102937,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two closed issues about missing the transformers dependency, but they point to different underlying problems: a runtime ImportError versus installation/documentation guidance.", - "confidence": 0.88, - "canonical_issue_reason": "Issue 138 is the more canonical bug report: it names the concrete failing code path (LDMTextToImagePipeline import) and the exact missing dependency causing the runtime error.", + "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 for the cluster because it describes the actual user-facing failure, while 3349 is a related docs/install gap rather than the same bug.", + "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": "Related to the same dependency, but not the same underlying issue: 138 is a runtime ImportError in the pipeline code, while 3349 is about missing installation instructions for transformers. These could be fixed independently." + "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." } ] }, @@ -103060,8 +102967,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1422-2", "nodes": [ @@ -103093,18 +103000,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are not duplicates: #1422 reports a concrete bad-output bug with Stable Diffusion 2, while #5193 is a general usage question about using a Chinese CLIP model. They do not appear to describe the same underlying problem.", - "confidence": 0.95, - "canonical_issue_reason": "#1422 is the stronger canonical issue because it describes a specific malfunction (mosaic-like outputs) tied to a particular setup, making it a concrete bug report rather than a usage question.", + "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 best issue to anchor the cluster since it is the only one framed as an actionable defect with a clear symptom and environment.", + "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 intent and problem space: #1422 is a bug report about poor generation quality with SD2, while #5193 asks how to use a different CLIP model. No evidence they represent the same underlying bug." + "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." } ] }, @@ -103123,8 +103030,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-410-2", "nodes": [ @@ -103156,18 +103063,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are not duplicates: #1443 is about moving prediction type ownership from sampler to UNet, while #410 is about a UNet channel-size limitation. They touch the same broad area but describe different underlying problems.", - "confidence": 0.96, - "canonical_issue_reason": null, + "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 more general, design-oriented issue and reads like a broader API/architecture concern, whereas #410 is a narrower model-constraint bug.", + "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": "Different bug classes: prediction-type API placement vs. UNet channel-size restrictions; no shared code-path or concrete fix overlap." + "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." } ] }, @@ -103186,8 +103093,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-146-2", "nodes": [ @@ -103219,18 +103126,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are both feature requests for training examples, but they target different workflows: superresolution vs ControlNet. They are related in theme, not the same underlying issue.", - "confidence": 0.89, - "canonical_issue_reason": "Issue 2626 is the more concrete, recent request with a specific target (ControlNet training example), while issue 146 is a broader wishlist item for superresolution.", + "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 representative because it is narrowly scoped and actionable; issue 146 is broader and more ambiguous.", + "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": "Both ask for example code, but for different training pipelines and model types. They do not describe the same underlying bug or change." + "reason": "Different target workflows and model types; they are both example requests, but not the same underlying feature/change." } ] }, @@ -103249,8 +103156,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1473-3", "nodes": [ @@ -103284,24 +103191,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster does not look like a true duplicate set. Issue #4594 is the only precise bug report; #5990 is a broader Stable Video Diffusion inpainting implementation thread, and #1473 is just a vague request for code help. The soft-similarity links are too weak to merge any pair.", - "confidence": 0.71, - "canonical_issue_reason": "#4594 is the most concrete and actionable report: it names a specific symptom (`latents.requires_grad is false`) in a custom pipeline and points to a clear bug class.", + "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": "#4594 is the best global issue representative because it is the most specific, technically grounded, and likely tied to a single code-path problem; #5990 is broader and #1473 is non-actionable.", + "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": "Too dissimilar: #1473 is a generic request for help debugging code, while #4594 is a specific gradient-related bug report. They do not look like the same underlying issue." + "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 relate to pipelines, but the descriptions are not concrete enough to show the same bug. #5990 is a broader inpainting implementation issue, not clearly the same code-path problem as the `requires_grad` symptom in #4594." + "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." } ] }, @@ -103320,8 +103227,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1629-3", "nodes": [ @@ -103356,30 +103263,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Three related test-flakiness issues, but they describe different pipelines and likely different nondeterminism sources. They cluster by theme (reproducibility / MPS fast tests) rather than by a single exact bug.", - "confidence": 0.86, - "canonical_issue_reason": "Issue #1630 is the best umbrella representative: it is the broadest and most general (\u201ccommon fast tests on MPS\u201d), so it captures the shared flaky-output theme better than the two pipeline-specific reports.", + "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 strongest global representative for the cluster because it is broader in scope and most likely to summarize the underlying test-instability pattern without being tied to one pipeline.", + "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 test reproducibility flakes, but one is AltDiffusion-specific and the other is a broader MPS fast-test inconsistency; too little evidence they are the same underlying bug." + "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": "Different concrete targets: AltDiffusion pipeline vs. StableDiffusion depth2img depth estimator. Similar symptom, but not the same failure site or fix." + "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": "Both mention nondeterministic outputs, but they affect different fast tests and likely different model code paths; not enough to treat as duplicates." + "reason": "Shared nondeterminism theme only; the affected test paths and likely causes differ, so they should not be merged as duplicates." } ] }, @@ -103398,8 +103305,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1684-2", "nodes": [ @@ -103431,18 +103338,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items report a floating point exception during inference-related usage, but the second is specifically tied to changing the scheduler, so they look related rather than clearly duplicate instances of the same bug report.", - "confidence": 0.67, - "canonical_issue_reason": "Issue #1684 is the broader, more general report of the floating point exception on inference and is the better umbrella issue if these turn out to be related.", + "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 issue candidate because it states the core failure mode without narrowing it to one trigger path.", + "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": "The titles share the same crash symptom, but #1696 is specifically about changing the scheduler while #1684 is a generic inference-call report. There isn\u2019t enough evidence they describe the exact same underlying bug." + "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." } ] }, @@ -103461,8 +103368,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1712-2", "nodes": [ @@ -103494,18 +103401,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are not duplicates: one is a broad GPU/CPU setup problem, while the other is a specific ControlNet + UNet2DModel usage question/bug. They do not appear to describe the same underlying failure mode.", - "confidence": 0.94, - "canonical_issue_reason": "Neither issue cleanly subsumes the other, but #5861 is the more specific, self-contained problem statement.", + "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": "#5861 is the best representative because it names a concrete component combination and likely actionable bug/limitation, whereas #1712 is broader and less specific.", + "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 scopes and likely different root causes: general GPU/CPU setup issues vs. ControlNet usage with UNet2DModel." + "reason": "Different underlying problems and code paths: GPU/CPU setup issues vs. ControlNet compatibility with `UNet2DModel`. Similarity is only superficial." } ] }, @@ -103524,8 +103431,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-329-3", "nodes": [ @@ -103559,24 +103466,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are three separate feature/support requests in related but distinct areas of diffusion support; they do not describe the same underlying bug or change, so no soft edges should be accepted.", - "confidence": 0.91, - "canonical_issue_reason": null, + "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 most concrete and narrowly scoped request, making it the best representative issue in this small set.", + "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": "#1748 asks about Stable Diffusion v2 support in general, while #329 requests K-LMS support for inpainting/img2img. Related topic, but different feature requests and code paths." + "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": "#329 is about K-LMS for stable diffusion inpainting/img2img, while #4463 asks for guide diffusion and unet_1d_condition support. Different models/features, not the same underlying request." + "reason": "These request different support areas and code paths: K-LMS for inpainting/img2img versus guide diffusion and unet_1d_condition support." } ] }, @@ -103595,8 +103502,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1760-2", "nodes": [ @@ -103628,18 +103535,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both issues concern OpenVINO Execution Provider failures with ONNX Runtime, but the available evidence is too thin to treat them as the same underlying bug with confidence.", - "confidence": 0.42, - "canonical_issue_reason": "Issue #1760 is the more general and concrete error report, with the explicit ONNXRuntime/OpenVINO subgraph runtime exception in the title.", + "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": "#1760 is the best single issue anchor because it names the exact runtime exception and failing OpenVINO subgraph path, making it the more diagnostic report.", + "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 failures, but #4981 is specifically a StableDiffusionPipeline failure while #1760 is a generic OpenVINO-subgraph runtime exception; without matching stack traces or an explicit shared root cause, they do not clearly look like the same bug." + "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." } ] }, @@ -103658,8 +103565,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1779-2", "nodes": [ @@ -103691,27 +103598,27 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues have the exact same title and appear to describe the same documentation/language-support request, so they look like duplicates.", - "confidence": 0.97, - "canonical_issue_reason": "Issue #1779 is the earlier report and is a good canonical representative for this duplicate topic.", + "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": "Issue #1779 is the clearest canonical issue: earliest, identical title, and no evidence distinguishing it from #2582.", + "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": "Same title and same apparent request; no evidence of different underlying problem, so this is a duplicate pair." + "reason": "Identical titles and no evidence of distinct scope or targets; they appear to be duplicate reports of the same request." } ] }, "evaluator_result": { - "accept": true, - "feedback": "Grounded in the packet: the two issues have identical titles, and choosing the earlier one as canonical is reasonable. The soft-edge duplicate verdict is conservative enough because there is no contrary evidence in the packet." + "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": false, + "retried": true, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -103724,8 +103631,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1797-2", "nodes": [ @@ -103757,24 +103664,27 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are closed issues about UNet1DModel, but the available evidence is too thin to treat them as the same bug. The newer issue is broader and better documented, so it is the better canonical issue if one must be chosen.", - "confidence": 0.68, - "canonical_issue_reason": "Issue #6182 is more recent, substantially more detailed, and has inbound references, making it the better anchor for any duplicate cluster around UNet1DModel behavior.", + "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 strongest representative because its title is clearer, the body is much more substantive, and it appears to have more discussion/visibility than #1797.", + "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 titles are similar and both mention UNet1DModel, but there are no shared targets, filenames, or concrete bug details showing the same underlying defect. This looks like related topic overlap rather than a confirmed duplicate." + "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": null, - "evaluator_used": false, - "retried": false, + "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 @@ -103787,8 +103697,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1837-4", "nodes": [ @@ -103824,30 +103734,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are four distinct feature requests, not duplicates: image logging for textual inversion, cosine-with-decay scheduling, DAAM support, and a self-recurrence/time-travel scheduler trick. They share a broad ML/scheduler context but describe different changes.", + "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": null, + "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": "Issue 2628 is the most generic/representative of the cluster by title, but it is still a standalone feature request rather than a duplicate target.", + "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 features: image logging for a script vs adding cosine-with-decay scheduling." + "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": "Cosine-with-decay and DAAM are unrelated changes; they do not describe the same bug or code-path fix." + "reason": "Both are enhancements, but they target different functionality: scheduler decay vs DAAM attention visualization." }, { "left": "issue:2628", "right": "issue:4575", "accept": false, - "reason": "A decay scheduler request and a self-recurrence/time-travel trick are different scheduling ideas, not the same underlying change." + "reason": "Not the same change: cosine decay scheduling vs adding a self-recurrence trick to schedulers; too distinct to merge as duplicates." } ] }, @@ -103866,8 +103776,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-853-2", "nodes": [ @@ -103899,18 +103809,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are both about checkpoint/model conversion, but they describe different problems: one is a state_dict size-mismatch when loading a LatentDiffusion model, the other asks whether ckpt conversion should change for an 8GB VRAM training setting. They are not the same underlying bug.", - "confidence": 0.93, - "canonical_issue_reason": "Issue #1877 is the more concrete, user-facing bug report with a specific load failure and clear error text.", + "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": "#1877 is the best issue representative because it pinpoints a specific reproducible checkpoint-loading mismatch, unlike #853 which is a broad question about conversion behavior.", + "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": "Reject: #1877 reports a LatentDiffusion state_dict size mismatch during loading; #853 asks whether ckpt conversion should be modified for an 8GB VRAM training setting. Same broad area, but not the same bug or change." + "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." } ] }, @@ -103929,8 +103839,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-398-2", "nodes": [ @@ -103962,18 +103872,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are not strong duplicates: both are sampler-related issues, but #1887 is a specific question about using DPM++ 2M Karras in Diffusers, while #398 is a vague request for a sampler change with no concrete matching details.", - "confidence": 0.86, - "canonical_issue_reason": "#1887 is the more specific and actionable issue, with a concrete sampler name and clear intent.", + "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": "#1887 best represents a distinct, specific user need; #398 is too generic to serve as a canonical cluster issue.", + "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": "Both mention samplers, but the underlying requests are not clearly the same: one asks about a specific DPM++ 2M Karras sampler in Diffusers, the other is a generic sampler-change request without enough detail to confirm duplication." + "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." } ] }, @@ -103992,8 +103902,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1975-2", "nodes": [ @@ -104025,18 +103935,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are related to inpainting, but they describe different feature requests: one about textual inversion support in inpainting, the other about using custom inpainting models in StableDiffusionControlNetInpaintPipeline. They are not duplicates.", - "confidence": 0.94, - "canonical_issue_reason": "Issue 4522 is the clearer and broader inpainting-model request; issue 1975 is a narrower textual-inversion use case and does not describe the same underlying problem.", + "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 is more explicit about the pipeline and desired model behavior, making it the more central issue in this cluster.", + "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": "Both mention inpainting, but one asks for textual inversion support and the other asks for custom inpainting models in a specific pipeline. These are different feature requests, not the same bug/change." + "reason": "They overlap on inpainting, but one is about textual inversion support and the other about custom inpainting models in StableDiffusionControlNetInpaintPipeline; different underlying changes." } ] }, @@ -104055,8 +103965,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2135-2", "nodes": [ @@ -104088,18 +103998,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related only at a broad Diffusers-project level, but they describe different requests: one is about out-of-the-box multilingual model support, the other about lifting the 77-token limit. They do not look like the same underlying issue.", - "confidence": 0.93, - "canonical_issue_reason": null, + "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, but it is still separate from #2135; neither issue cleanly subsumes the other as a duplicate canonical report.", + "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 problems: #2135 asks for multilingual model support, while #2136 targets the text-length/token-limit constraint. Shared subsystem alone is not enough to treat them as duplicates." + "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." } ] }, @@ -104118,8 +104028,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2160-3", "nodes": [ @@ -104154,30 +104064,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "All three issues are in the Stable Diffusion training/fine-tuning space, but they do not look like the same underlying bug. Issue 2160 is a specific LoRA/vae.config.scaling_factor error, while 3185 and 3482 are about training/finetuning the upscaler/super-resolution model.", - "confidence": 0.62, - "canonical_issue_reason": "3482 is the broadest and most representative of the super-resolution finetuning topic, and it best subsumes the closely related training question in 3185.", + "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": "3482 has the clearest, broadest title for the shared super-resolution/upscale training theme and is the best single issue to anchor this cluster.", + "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": "Different problems: 2160 is a LoRA/vae.config.scaling_factor runtime error, while 3185 is about training an upscaler model." + "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 is a specific fine-tuning error involving VAE scaling; 3482 is a separate super-resolution finetuning question." + "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 the upscale/super-resolution model, but the titles suggest adjacent training questions rather than the same concrete bug or change." + "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." } ] }, @@ -104196,8 +104106,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2170-3", "nodes": [ @@ -104232,30 +104142,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These three issues are all about ONNX export, but they describe different failures: opset-13 support, a CLIPVisionConfig attribute error, and unsupported scaled_dot_product_attention at opset 14. They should not be deduplicated.", - "confidence": 0.95, - "canonical_issue_reason": "No single canonical duplicate exists here. Issue 4691 is the clearest standalone report, but it is a different underlying export failure than 2170 or 2283.", + "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 most actionable and specific report, with a concrete unsupported operator and exact opset version, so it is the best representative issue in this cluster.", + "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": "2170 asks for opset 13 support when converting stable-diffusion-2-1; 4691 is an unsupported aten::scaled_dot_product_attention export at opset 14. Same broad area, but different concrete bug." + "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 supported ONNX opset version; 2283 is a CLIPVisionConfig.num_channels attribute error during stable-diffusion-v1-5 conversion. Different failure modes." + "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 config/schema mismatch attribute error; 4691 is an ONNX operator export limitation. They do not appear to be the same underlying problem." + "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." } ] }, @@ -104274,8 +104184,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2189-4", "nodes": [ @@ -104311,36 +104221,36 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is only partially duplicate-heavy: the two LoRA-loading issues are the same underlying question, while the safetensors/inference issues are separate topics. I would keep the most specific LoRA issue as the canonical representative.", - "confidence": 0.77, - "canonical_issue_reason": "#2189 is the clearest and most specific representative of the duplicated LoRA-loading request, and it is better phrased than the more ambiguous #2739.", + "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 standalone issue in the cluster because it most concretely states the underlying request and matches the duplicate pair most directly.", + "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": "Different underlying problems: multiple LoRA weights during inference vs safetensors loading. Same broad loading theme, but not the same code-path issue." + "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": "Same underlying request: both ask whether multiple LoRA models/weights can be loaded during inference, just phrased differently." + "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 models, while 3732 is about using a local safetensors model for inference. Related area, but not the same issue." + "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. The LoRA pair (#2189/#2739) is a conservative duplicate call based on closely matching titles and requests, while the safetensors issue (#4902) and the local safetensors inference issue (#3732) are reasonably kept separate. No overstatement beyond the evidence is apparent." + "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, @@ -104356,8 +104266,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2219-2", "nodes": [ @@ -104389,18 +104299,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are both about Stable Diffusion fine-tuning, but they ask about different training setups: one is specifically about the super-resolution model, while the other is about custom caption/image datasets. They are related topic-wise but not the same underlying problem.", - "confidence": 0.88, - "canonical_issue_reason": "Issue #5774 is the broader and more generally phrased fine-tuning question, so it is the better representative if one issue must be chosen.", + "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": "#5774 is the best issue-level representative because it is more general and closer to a canonical user question about Stable Diffusion fine-tuning.", + "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": "Same broad domain, but different concrete requests: super-resolution model fine-tuning vs custom dataset fine-tuning. Not the same duplicate." + "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." } ] }, @@ -104419,8 +104329,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2255-2", "nodes": [ @@ -104452,24 +104362,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two closed issues are near-exact duplicates with the same title and likely the same question about what parts of `train_dreambooth.py` are trained.", + "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": "Issue #2255 is the older of the two identical issues, so it is the better canonical issue.", + "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": "Issue #2255 is the best representative because it is the earliest and has the same title/content as #2256.", + "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": "Same title, same apparent question, and very high text similarity indicate the same underlying issue." + "reason": "Identical title and highly similar content indicate the same underlying issue/question." } ] }, "evaluator_result": { "accept": true, - "feedback": "Grounded overall: the packet shows two closed issues with the same title, close creation times, and strong soft similarity, so treating #2255 as the canonical issue is reasonable. The soft-edge accept is conservative enough here, since the evidence supports a likely duplicate without claiming more than the packet shows." + "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, @@ -104485,8 +104395,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2270-2", "nodes": [ @@ -104518,18 +104428,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are about different feature gaps: one asks about negative prompts, the other about denoise support in the ONNX inpaint pipeline. They should not be clustered as duplicates.", - "confidence": 0.93, - "canonical_issue_reason": "Issue 2353 is more concrete and actionable, describing a specific missing capability in a specific pipeline.", + "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 is the better representative because it names the exact code path and missing behavior, making it easier to triage and route.", + "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 underlying problems: negative prompt support vs. denoise support in OnnxStableDiffusionInpaintPipeline. No clear duplicate relationship." + "reason": "Different functionality: negative prompt support is a separate feature request from denoise support in OnnxStableDiffusionInpaintPipeline. No clear same-bug/same-change evidence." } ] }, @@ -104548,8 +104458,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2411-4", "nodes": [ @@ -104585,30 +104495,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These issues all mention Stable Diffusion/DreamBooth, but they describe different questions/problems: slow generation, Alt Diffusion DreamBooth, image-guided generation, and DDPM training. I do not see a duplicate cluster here.", - "confidence": 0.93, - "canonical_issue_reason": null, + "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": "Issue 4253 is the broadest Stable Diffusion/DreamBooth question, so it is the closest thing to a representative item, but it is still not a true duplicate of the others.", + "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": "Different underlying problem: generation performance/latency versus whether an image can be used to guide generation after DreamBooth fine-tuning." + "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": "Related topic area, but not the same request: Alt Diffusion DreamBooth support versus image-conditioned guidance on a DreamBooth-fine-tuned Stable Diffusion model." + "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": "Different training questions: DreamBooth for Alt Diffusion versus training Stable Diffusion with DDPM; same broad subsystem but not the same bug/change." + "reason": "2777 is a Dreambooth/Alt Diffusion feature request, while 6178 asks how to train Stable Diffusion with DDPM. Different training methods and goals." } ] }, @@ -104627,8 +104537,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2709-2", "nodes": [ @@ -104660,18 +104570,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues do not appear to describe the same bug. One is about saving PyTorch 2.0-compiled models, while the other is a ModuleNotFoundError for a specific UNet module import path.", + "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 broader and more representative report for the cluster, centered on a concrete model-save failure.", + "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 better cluster representative because its title and scope are more general and directly describe the core failure mode.", + "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 failure classes: saving compiled models vs missing module import. No clear shared code path or duplicate symptom." + "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." } ] }, @@ -104690,8 +104600,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-271-2", "nodes": [ @@ -104723,18 +104633,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are related to samplers/schedulers, but they are not the same underlying request: one is a broad \"Samplers & Documentation\" topic, while the other specifically asks for more samplers/schedulers such as Euler. I would not merge them as duplicates.", - "confidence": 0.88, - "canonical_issue_reason": "Issue #277 is the more concrete and actionable request, focused on adding specific samplers/schedulers, whereas #271 is a broader umbrella topic that also includes documentation.", + "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 feature gap with an explicit example (Euler), making it easier to triage and map to a concrete implementation.", + "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": "Related subject area, but different scope: #271 is broad and documentation-oriented, while #277 is a specific feature request for additional samplers/schedulers. Not the same underlying issue." + "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." } ] }, @@ -104753,8 +104663,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2750-3", "nodes": [ @@ -104788,31 +104698,34 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related ControlNet feature requests, but they ask for different capabilities: face-landmarks support, ControlNet LoRA support, and using LoRA with the ControlNet pipeline. They do not look like the same underlying bug/change, so they should not be merged as duplicates.", - "confidence": 0.84, - "canonical_issue_reason": "Issue 4679 is the broadest and still-open request, centered on ControlNet LoRA support, making it the best representative if one issue must be chosen.", + "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 is the strongest cluster representative because it is open, general, and closest to the shared ControlNet/LoRA theme.", + "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 are ControlNet-related, but one asks for face-landmarks support while the other asks for ControlNet LoRA support; these are distinct feature requests." + "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": false, - "reason": "They overlap on LoRA and ControlNet, but one requests support for ControlNet LoRA generally and the other is specifically about LoRA usage within the ControlNet pipeline; not the same concrete change." + "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": null, - "evaluator_used": false, + "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": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -104824,8 +104737,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2820-2", "nodes": [ @@ -104857,18 +104770,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related feature requests about multi-ControlNet, but they do not clearly describe the same underlying problem. Issue 5140 is a specific BLIP-Diffusion limitation, while 2820 is a broader question about img2img support.", - "confidence": 0.87, - "canonical_issue_reason": "Issue 5140 is the more specific, actionable report of an actual limitation (BLIP-Diffusion not supporting multi-ControlNet), so it is the better canonical issue if one must be chosen.", + "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 is the best issue in the cluster because it names a concrete affected path and behavior, whereas 2820 is just a general inquiry.", + "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 topic, but not the same concrete bug/feature request: 2820 asks generally about multi-ControlNet for img2img, while 5140 specifically reports BLIP-Diffusion lacking multi-ControlNet support." + "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." } ] }, @@ -104887,8 +104800,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3307-2", "nodes": [ @@ -104920,18 +104833,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two closed issues are related only at a high level (DeepFloyd tuning/fine-tuning). They do not appear to report the same underlying problem: one asks about a specific `predicted_variance` usage in textual inversion, while the other is a broader question about how to fine-tune DeepFloyd IF.", - "confidence": 0.78, - "canonical_issue_reason": "Issue 3356 is the broader, more representative DeepFloyd fine-tuning question, so it is the better canonical issue if one must be chosen.", + "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 has the wider scope and better captures the general user need around fine-tuning DeepFloyd IF.", + "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": "They are thematically similar, but 3307 is a specific `predicted_variance`/textual inversion question and 3356 is a general fine-tuning question; not the same concrete issue." + "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." } ] }, @@ -104950,8 +104863,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3317-3", "nodes": [ @@ -104985,24 +104898,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These issues do not look like the same underlying bug. #3317 is a specific scheduler/denoising-step problem in pipeline creation, #3502 is a broad \u201cpipeline rules\u201d complaint, and #4823 reads as a feature request for more flexible diffusers.", - "confidence": 0.84, - "canonical_issue_reason": "Issue #3317 is the most concrete and actionable bug report: it names the pipeline scheduler and the denoising step that is not being applied.", + "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 strongest canonical choice because it describes a specific failure mode rather than a vague pipeline or design complaint.", + "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 #3317 is a concrete scheduler/denoising bug while #3502 is a generic rules/broken-pipeline report; there is not enough evidence they are the same underlying issue." + "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 appears to be about pipeline constraints or rule violations, while #4823 is a feature proposal for more flexible diffusers; these are different change/problem types." + "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." } ] }, @@ -105021,8 +104934,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-369-2", "nodes": [ @@ -105054,24 +104967,27 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both issues concern multi-token / multi-vector textual inversion, but they are not the same underlying request: one asks how to apply an already-trained multi-vector embedding, while the other asks for support to represent a learned concept with more than one token. Related topic, not a duplicate.", - "confidence": 0.84, - "canonical_issue_reason": "Issue #369 is the broader, more foundational request about supporting concepts represented by multiple tokens in textual inversion; it is the better canonical anchor for this topic.", + "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": "Issue #369 is the best representative of the cluster because it states the core feature need more directly and broadly than the usage-oriented wording of #3352.", + "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": "Same general area, but #3352 is a how-to/apply question for existing multi-vector embeddings, while #369 requests support for training/representing concepts with multiple tokens. They do not describe the same concrete bug or change." + "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": null, - "evaluator_used": false, - "retried": false, + "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 @@ -105084,8 +105000,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3423-2", "nodes": [ @@ -105117,18 +105033,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues do not appear to describe the same problem: one is a vague startup hang, the other is a specific model-to-diffusers conversion error involving `text_config_dict`.", - "confidence": 0.91, - "canonical_issue_reason": "Issue #4490 is the more concrete, technically specific report and is better suited as a representative issue for this cluster.", + "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": "#4490 is the best issue to keep as the cluster representative because it names a clear failure mode and likely actionable code path; #3423 is too broad and underspecified.", + "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": "Titles and descriptions point to different problems: a launch hang versus a ckpt-to-diffusers conversion/config error. The similarity is too weak to treat as the same underlying issue." + "reason": "Different symptoms and likely different subsystems: a startup/launch stall versus a conversion-time config error. The overlap is only broad model tooling." } ] }, @@ -105147,8 +105063,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3538-2", "nodes": [ @@ -105180,18 +105096,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are both about model adaptation workflows, but they ask different questions: one about whether ControlNet needs fine-tuning when merging SD models with different LoRAs, the other about generating an LCM LoRA from an existing model. They are not the same underlying problem.", - "confidence": 0.91, - "canonical_issue_reason": "Issue 5756 is the more concrete and self-contained user question about producing an LCM LoRA from an existing model; issue 3538 is a separate, broader question about ControlNet fine-tuning during SD/LoRA merging.", + "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 better representative because it has a clearer target task and likely maps to a specific workflow/topic, whereas 3538 is more speculative and loosely phrased.", + "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": "They concern different model-training/deployment questions and do not describe the same bug, feature, or code-path change." + "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." } ] }, @@ -105210,8 +105126,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3544-2", "nodes": [ @@ -105243,18 +105159,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are not duplicates: #3544 is a conceptual question about latent scaling in the scheduler pipeline, while #4785 is a specific typo report in the Euler discrete scheduler. They touch related scheduling code but describe different problems and different fixes.", - "confidence": 0.94, - "canonical_issue_reason": null, + "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": "No single issue is a clear canonical duplicate target because the items describe different bugs/questions rather than the same underlying report.", + "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 problem statements: one asks about latent scaling behavior, the other reports an inequality typo in a scheduler implementation. Shared subsystem alone is not enough to treat them as the same issue." + "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." } ] }, @@ -105273,8 +105189,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-358-2", "nodes": [ @@ -105306,18 +105222,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both issues concern Apple MPS, but they describe different failure modes: one is an error in `unet_2d_condition.py`, the other is prompts-array generation producing no images. They overlap at the backend level but do not look like the same underlying bug.", - "confidence": 0.78, - "canonical_issue_reason": "Issue #358 is the more specific report, naming the exact file and error location, which makes it a better anchor for deduping and routing.", + "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 representative issue because it is concrete and narrow; #363 is broader and less clearly tied to a single code path.", + "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 the reported symptoms and likely code paths differ. One is a file-specific error in `unet_2d_condition.py`; the other is a prompts-array generation failure with no images. Not the same concrete bug." + "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." } ] }, @@ -105336,8 +105252,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3684-2", "nodes": [ @@ -105369,18 +105285,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related training-help questions, but they ask about different setups: img2img fine-tuning vs training a text-to-image model based on SDXL. They do not look like the same underlying issue.", - "confidence": 0.89, - "canonical_issue_reason": "Issue 4150 is the more concrete, narrowly scoped question (SDXL text-to-image training) and is a better representative than the more generic img2img fine-tuning question.", + "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": "Issue 4150 is the clearest anchor for this cluster because it specifies the model family and training objective, while 3684 is broader and less actionable.", + "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": "Both are about model training, but one is img2img fine-tuning and the other is SDXL text-to-image training; these are different code paths and user problems, not the same bug/change." + "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." } ] }, @@ -105399,8 +105315,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-380-2", "nodes": [ @@ -105432,18 +105348,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related scheduler issues, but they describe different problems: one is about unused `init` parameters, the other about an `offset` usage discrepancy. They should not be merged as duplicates.", - "confidence": 0.87, - "canonical_issue_reason": "Issue #465 is the more concrete bug report, centered on a specific scheduler `offset` mismatch rather than a general code smell about unused `init` parameters.", + "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 canonical issue because it points to a narrower, actionable scheduler behavior discrepancy; #380 reads more like a broader cleanup/parameter concern.", + "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 underlying concerns: #380 is about unused `init` parameters, while #465 is about incorrect `offset` usage. Same subsystem, but not the same bug." + "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." } ] }, @@ -105462,8 +105378,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-405-2", "nodes": [ @@ -105495,24 +105411,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "#405 is the better canonical tracker because it names the concrete tokenizer failure directly, but the evidence is not strong enough to merge #3827 into it as the same bug; the newer report is only plausibly related.", - "confidence": 0.68, - "canonical_issue_reason": "#405 is the clearer canonical issue: it states the failure mode directly and is broad enough to serve as the main tracker without assuming the newer report is identical.", + "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": "#405 is the best issue to keep as the primary tracker because it describes the exact error condition rather than a narrower source-specific scenario.", + "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": "The titles are related, but the packet only provides soft similarity and low Jaccard overlap; it does not establish that the Civitai report is the same underlying tokenizer bug or specifically the single-file/URL case." + "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 canonical choice of #405 is plausible, but the soft-edge accept is too strong for the evidence provided. The packet only shows title-level soft similarity and low Jaccard overlap; it does not establish that #3827 and #405 are the same underlying bug or that the Civitai report specifically matches the single-file/URL case. A more conservative verdict would note possible relatedness without asserting equivalence." + "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, @@ -105528,8 +105444,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3988-2", "nodes": [ @@ -105561,18 +105477,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are both ControlNet-related support questions, but they concern different use cases: partial ControlNet loading with an inpaint pipeline vs. Scribble ControlNet on SDXL. They do not look like the same underlying bug or request.", - "confidence": 0.79, - "canonical_issue_reason": "issue:3988 is the broader/more generic ControlNet pipeline usage question, so it is the better representative issue for the cluster.", + "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": "issue:3988 is slightly better as a cluster representative because it covers a more general pipeline integration question, whereas issue:5503 is a narrower SDXL Scribble scenario.", + "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": "Related topic area, but the concrete requests differ: one asks about using part of ControlNet models with StableDiffusionControlNetInpaintPipeline, the other about ControlNet Scribble specifically with SDXL. Not the same underlying issue." + "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." } ] }, @@ -105591,8 +105507,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4017-2", "nodes": [ @@ -105624,24 +105540,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are only weakly related by title/topic (LoRA and blockwise weights). There isn\u2019t enough evidence to conclude they describe the same underlying bug or feature, so they should not be merged as duplicates.", - "confidence": 0.9, - "canonical_issue_reason": null, + "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": "#7231 is the clearer, more explicit title, but the evidence is too weak to treat it as the same issue as #4017.", + "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": "Reject: the match is only soft title similarity. There are no shared targets, filenames, links, or other grounding to show the same underlying issue." + "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 packet only supports a weak soft-similarity match between two issue titles; it does not ground the stronger claim that they describe the same underlying bug/feature. #7231 may be a clearer rephrasing, but the canonical/identity and soft-edge acceptance are overstated given the limited evidence and low similarity signal." + "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, @@ -105657,8 +105573,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4161-2", "nodes": [ @@ -105690,18 +105606,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are two separate bug reports about different features in SD.Next: one about Kandinsky Prior and one about Img2Img. They do not look like duplicates.", + "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": null, + "canonical_issue_reason": "No single canonical issue: the reports describe different problems and different code paths.", "canonical_pr_reason": null, - "best_issue_reason": "Issue #4161 is slightly better as a representative report because it names a specific failing feature (Kandinsky Prior) rather than a broad Img2Img complaint, but it is not a duplicate of #4162.", + "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": "Titles and likely scope differ: Kandinsky Prior vs Img2Img. No shared target, filename, or concrete evidence they describe the same underlying bug." + "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." } ] }, @@ -105720,8 +105636,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4367-2", "nodes": [ @@ -105753,24 +105669,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues describe the same missing AutoPipeline `from_single_file()` support and appear duplicate; one is just a reworded, later report of the same gap.", - "confidence": 0.93, - "canonical_issue_reason": "issue #4367 is the earlier report and already captures the feature request directly.", + "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 is phrased more clearly as the exact API gap, making it the best representative title for the cluster.", + "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": "Both titles point to the same underlying problem: `AutoPipeline` lacks `from_single_file()` support." + "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 reasoning is grounded in the packet: both issues are clearly about AutoPipeline `from_single_file()` support, and the later issue is a reworded version of the same request. The soft-edge acceptance is appropriately cautious given the limited evidence." + "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, @@ -105786,8 +105702,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4601-2", "nodes": [ @@ -105819,18 +105735,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related to SD-XL ControlNet models, but they ask for different checkpoints/features: one is for NormalBae/Tile/MLSD, the other for refiner+base. They do not look like duplicates.", - "confidence": 0.9, - "canonical_issue_reason": "Issue 4602 is the cleaner canonical anchor only because it is a broader, more directly phrased request; issue 4601 is a separate, more specific checkpoint request.", + "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": "Issue 4602 is the best issue to represent the cluster if one must be chosen, but it should not be treated as the same request as 4601.", + "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": "Different requested artifacts: 4601 asks for NormalBae/Tile/MLSD checkpoints, while 4602 asks for refiner+base support. They share the SD-XL ControlNet theme but not the same underlying issue." + "reason": "They request different ControlNet SDXL checkpoint variants (NormalBae/Tile/MLSD vs refiner+base), so they are not the same underlying issue." } ] }, @@ -105849,8 +105765,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4658-2", "nodes": [ @@ -105882,18 +105798,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues appear unrelated: one is about AudioLDM using a separate UNet class in its pipeline, while the other is about forcing `timestep` to be a tensor inside UNet. They do not describe the same underlying bug or change.", - "confidence": 0.94, - "canonical_issue_reason": null, + "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": 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 problem domains and fixes: pipeline/class selection for AudioLDM versus tensor typing inside UNet. No explicit shared target, filenames, or evidence of the same code path." + "reason": "Different subjects and remedies: AudioLDM pipeline class separation vs forcing `timestep` to tensor in UNet; no shared concrete bug/change." } ] }, @@ -105912,8 +105828,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4732-2", "nodes": [ @@ -105945,18 +105861,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are about different topics: one concerns prompt priority in ControlNet/Diffusers, the other concerns a tile_colorfix problem in Diffusers. They do not look like duplicates.", - "confidence": 0.96, - "canonical_issue_reason": "Issue #4732 is the clearer representative if one must be chosen: it describes a user-facing behavior problem in more general terms and is more self-contained than #4970.", + "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 best standalone issue for the cluster because it is more descriptive and broadly framed; #4970 appears to be a separate, specific feature/bug report.", + "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 and implied problems are unrelated: prompt priority in ControlNet/Diffusers versus tile_colorfix in Diffusers. They do not describe the same underlying bug or change." + "reason": "The titles describe unrelated behaviors: prompt importance/controlnet precedence versus tile_colorfix. No shared code path or concrete duplicate signal is present." } ] }, @@ -105975,8 +105891,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4900-2", "nodes": [ @@ -106008,18 +105924,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related to inpaint UI behavior, but they do not describe the same underlying issue. 4900 is about choosing a starting point for inpainting, while 5691 asks about the meanings/behavior of inpaint modes (fill, original, latent noise, latent nothing).", - "confidence": 0.79, - "canonical_issue_reason": "issue:5691 is the broader and more descriptive inpaint-mode question; it better represents the cluster topic if a single issue must be chosen.", + "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": "issue:5691 is the better global representative because it covers the inpaint mode behavior more generally, whereas issue:4900 is a narrower starting-point concern.", + "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": "Both concern inpaint, but one is about choosing a starting point and the other about understanding mode options; they are not the same concrete bug or request." + "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." } ] }, @@ -106038,8 +105954,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5141-2", "nodes": [ @@ -106071,18 +105987,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are about different functionality: one concerns configuring how many checkpoints are kept, while the other is about saving multiple models into a single file. They do not look like duplicates.", + "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": 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 underlying feature requests: checkpoint retention count vs multi-model file saving." + "reason": "Different requests: checkpoint retention count vs packing multiple models into one file. Related area, but not the same underlying bug or change." } ] }, @@ -106101,8 +106017,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5228-13", "nodes": [ @@ -106183,48 +106099,48 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is a heterogeneous set of HacktoberFest issues: missing docstrings for different model classes, documentation translations in different languages, a scheduler cleanup task, and several separate fast-test size reductions for different pipelines. The title similarity is superficial; these are not duplicates.", - "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue: the items are separate tasks across different components and change types, so there is no true duplicate target for the whole cluster.", + "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": "If forced to pick a representative, issue 5262 is the closest to a broadly reusable task among the fast-test subtopic, but it is still only one of several unrelated issues and not a real global canonical.", + "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 docstrings vs Autoencoder encode docstring." + "reason": "Different targets: UNet2DConditionModel vs Autoencoder encode." }, { "left": "issue:5228", "right": "issue:5230", "accept": false, - "reason": "Different targets: UNet2DConditionModel docstrings vs Autoencoder decode docstring." + "reason": "Different targets: UNet2DConditionModel vs Autoencoder decode." }, { "left": "issue:5228", "right": "issue:5231", "accept": false, - "reason": "Different targets: UNet2DConditionModel docstrings vs Adapters docstrings." + "reason": "Different targets: UNet2DConditionModel vs Adapters." }, { "left": "issue:5228", "right": "issue:5241", "accept": false, - "reason": "Different model families: UNet2DConditionModel vs W\u00fcrstchen." + "reason": "Different targets: UNet2DConditionModel vs W\u00fcrstchen." }, { "left": "issue:5228", "right": "issue:5302", "accept": false, - "reason": "Different model families: UNet2DConditionModel vs DeepFloyd IF docstrings." + "reason": "Different tasks: missing docstrings for a model vs DeepFloyd IF docstrings." }, { "left": "issue:5229", "right": "issue:5230", "accept": false, - "reason": "Encode and decode are distinct autoencoder methods, not the same underlying task." + "reason": "Related autoencoder methods, but encode and decode are distinct functions and not the same underlying task." }, { "left": "issue:5229", @@ -106242,7 +106158,7 @@ "left": "issue:5229", "right": "issue:5302", "accept": false, - "reason": "Different targets: Autoencoder encode vs DeepFloyd IF docstrings." + "reason": "Different tasks: Autoencoder encode docstrings vs DeepFloyd IF docstrings." }, { "left": "issue:5230", @@ -106260,7 +106176,7 @@ "left": "issue:5230", "right": "issue:5302", "accept": false, - "reason": "Different targets: Autoencoder decode vs DeepFloyd IF docstrings." + "reason": "Different tasks: Autoencoder decode docstrings vs DeepFloyd IF docstrings." }, { "left": "issue:5231", @@ -106272,157 +106188,157 @@ "left": "issue:5231", "right": "issue:5302", "accept": false, - "reason": "Different targets: Adapters vs DeepFloyd IF docstrings." + "reason": "Different tasks: Adapters docstrings vs DeepFloyd IF docstrings." }, { "left": "issue:5241", "right": "issue:5302", "accept": false, - "reason": "Different model families: W\u00fcrstchen vs DeepFloyd IF." + "reason": "Different targets: W\u00fcrstchen vs DeepFloyd IF docstrings." }, { "left": "issue:5252", "right": "issue:5548", "accept": false, - "reason": "Different documentation translations in different languages: Thai vs Portuguese." + "reason": "Same broad documentation area, but different languages (Thai vs Portuguese) and separate translation work." }, { "left": "issue:5228", "right": "issue:5257", "accept": false, - "reason": "Docstring task vs scheduler removal; unrelated changes." + "reason": "One is docstrings for a model; the other is removal of outdated schedulers." }, { "left": "issue:5229", "right": "issue:5257", "accept": false, - "reason": "Docstring task vs scheduler removal; unrelated changes." + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." }, { "left": "issue:5230", "right": "issue:5257", "accept": false, - "reason": "Docstring task vs scheduler removal; unrelated changes." + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." }, { "left": "issue:5231", "right": "issue:5257", "accept": false, - "reason": "Docstring task vs scheduler removal; unrelated changes." + "reason": "One is docstrings for adapters; the other is removal of outdated schedulers." }, { "left": "issue:5241", "right": "issue:5257", "accept": false, - "reason": "Docstring task vs scheduler removal; unrelated changes." + "reason": "One is docstrings for W\u00fcrstchen; the other is removal of outdated schedulers." }, { "left": "issue:5260", "right": "issue:5262", "accept": false, - "reason": "Same broad optimization theme, but different pipelines and tests; not the same concrete change." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionPipeline." }, { "left": "issue:5260", "right": "issue:5263", "accept": false, - "reason": "Same broad optimization theme, but different pipelines and tests; not the same concrete change." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetPipeline." }, { "left": "issue:5260", "right": "issue:5264", "accept": false, - "reason": "Same broad optimization theme, but different pipelines and tests; not the same concrete change." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetImg2ImgPipeline." }, { "left": "issue:5228", "right": "issue:5260", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionXLPipeline." }, { "left": "issue:5229", "right": "issue:5260", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionXLPipeline." }, { "left": "issue:5262", "right": "issue:5263", "accept": false, - "reason": "Same broad optimization theme, but different pipelines and tests; not the same concrete change." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetPipeline." }, { "left": "issue:5262", "right": "issue:5264", "accept": false, - "reason": "Same broad optimization theme, but different pipelines and tests; not the same concrete change." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetImg2ImgPipeline." }, { "left": "issue:5228", "right": "issue:5262", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionPipeline." }, { "left": "issue:5229", "right": "issue:5262", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionPipeline." }, { "left": "issue:5263", "right": "issue:5264", "accept": false, - "reason": "Related pipeline names, but still separate pipelines/tests and not one mergeable fix." + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionControlNetPipeline vs StableDiffusionControlNetImg2ImgPipeline." }, { "left": "issue:5228", "right": "issue:5263", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetPipeline." }, { "left": "issue:5229", "right": "issue:5263", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetPipeline." }, { "left": "issue:5228", "right": "issue:5264", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." }, { "left": "issue:5229", "right": "issue:5264", "accept": false, - "reason": "Docstrings task vs fast-test reduction task; different change type." + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." }, { "left": "issue:5228", "right": "issue:5548", "accept": false, - "reason": "Missing docstrings task vs Portuguese documentation translation; unrelated." + "reason": "Different documentation tasks: missing docstrings vs Portuguese translation work." }, { "left": "issue:5229", "right": "issue:5548", "accept": false, - "reason": "Missing docstrings task vs Portuguese documentation translation; unrelated." + "reason": "Different documentation tasks: autoencoder encode docstrings vs Portuguese translation work." }, { "left": "issue:5230", "right": "issue:5548", "accept": false, - "reason": "Missing docstrings task vs Portuguese documentation translation; unrelated." + "reason": "Different documentation tasks: autoencoder decode docstrings vs Portuguese translation work." }, { "left": "issue:5231", "right": "issue:5548", "accept": false, - "reason": "Missing docstrings task vs Portuguese documentation translation; unrelated." + "reason": "Different documentation tasks: adapters docstrings vs Portuguese translation work." } ] }, @@ -106441,8 +106357,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5311-2", "nodes": [ @@ -106474,18 +106390,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Related, but not duplicates: both mention `load_lora_weights`, yet 5311 is a missing-attribute error on `StableDiffusionXLPipeline` and 7366 is a DoRA-specific failure.", - "confidence": 0.82, - "canonical_issue_reason": "Issue 5311 is the clearest concrete bug report; it names the exact exception and pipeline class, making the underlying failure easier to identify.", + "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": "Issue 5311 best represents the cluster because it describes the concrete code-path problem, while 7366 appears to be a narrower DoRA-specific scenario.", + "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": "Shared API surface only; 5311 reports a missing `load_lora_weights` attribute on SDXL pipeline, while 7366 is a DoRA-specific error. Not enough evidence they are the same underlying bug." + "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." } ] }, @@ -106504,8 +106420,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5333-2", "nodes": [ @@ -106537,18 +106453,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These issues are closely related but not duplicates: both report missing `from_single_file` on ControlNet pipeline classes, but they affect different pipeline families/code paths (`StableDiffusionControlNetInpaint*` vs `StableDiffusionXLControlNetPipeline`).", - "confidence": 0.89, - "canonical_issue_reason": "No true canonical issue among these two; if forced to pick a representative topic, #5333 is slightly broader because it names two affected pipeline classes and describes the attribute-missing problem more generally.", + "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 better representative issue for the cluster theme because it covers a broader set of affected classes and more clearly expresses the missing-attribute bug. #5375 appears to be a separate instance on a different pipeline family.", + "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": "Reject: same general symptom, but different concrete pipeline classes and likely different code paths. They should not be merged as duplicates without stronger evidence of a shared underlying defect." + "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." } ] }, @@ -106567,8 +106483,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5762-2", "nodes": [ @@ -106600,18 +106516,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues describe different failures in different components: one is a shape/implementation error in TemporalConvLayer, the other is a FluxControlNetInpaintPipeline incompatibility with XLabs controlnets. They are not duplicates.", - "confidence": 0.99, - "canonical_issue_reason": null, + "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": 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": "Different bug reports affecting different code paths and APIs; no shared filenames/targets or evidence they are the same underlying defect." + "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." } ] }, @@ -106630,8 +106546,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6033-2", "nodes": [ @@ -106663,28 +106579,28 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues describe the same underlying UTF-8 decode failure during VAE safetensor conversion; #6034 is the more specific and informative report.", - "confidence": 0.95, - "canonical_issue_reason": "#6034 is the better canonical issue because it includes the concrete conversion context (VAE safetensor to diffusers) and has more discussion detail, while #6033 is just the raw error string.", + "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 best represents the cluster since it names the failing workflow and the exact UnicodeDecodeError seen in the duplicate report.", + "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": true, - "reason": "Both reports center on the same exact UnicodeDecodeError and appear to be the same bug; #6034 simply adds the specific operation that triggers it." + "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": true, - "feedback": "Grounded in the packet: both issues share the exact UnicodeDecodeError string, and #6034 adds the specific VAE safetensor-to-diffusers context. The soft-edge duplicate verdict is conservative enough given the identical error and overlapping wording." + "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": false, - "accepted_nontrivial_soft_edge": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, @@ -106696,8 +106612,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-615-2", "nodes": [ @@ -106729,18 +106645,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two issues are not duplicates: one asks for an outpainting pipe demo, while the other asks how to add undesired content in the txt2img pipe. They discuss different pipeline features and different user needs.", + "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": "Issue 765 is the more concrete and actionable feature request, so it is the better representative if one must be chosen.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:615", "right": "issue:765", "accept": false, - "reason": "Different topics and workflows: outpainting demo vs. adding undesired content in txt2img. Not the same underlying bug or change." + "reason": "Different topics and user intents; no shared concrete problem, code path, or change request beyond both being pipeline-related questions." } ] }, @@ -106759,8 +106675,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6406-2", "nodes": [ @@ -106792,18 +106708,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related to custom pipelines, but they describe different problems: one is a concrete runtime/API support gap in `lpw_stable_diffusion_xl`, the other is inaccurate documentation for custom pipelines. They should not be merged as duplicates.", - "confidence": 0.94, - "canonical_issue_reason": "Issue 6406 is the more specific and actionable bug report: it identifies a concrete pipeline (`lpw_stable_diffusion_xl`) and a missing support for new run parameters.", + "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": "Issue 6406 is the best representative because it is the clearer product bug with an explicit affected pipeline and behavior mismatch.", + "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": "Different underlying issues: 6406 reports missing support in a pipeline implementation, while 6430 is about documentation accuracy for custom pipelines." + "reason": "Related topic, but not the same underlying issue: one is a pipeline feature gap, the other says the custom pipeline docs are inaccurate." } ] }, @@ -106822,8 +106738,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6882-2", "nodes": [ @@ -106855,18 +106771,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related only at a very broad SDXL/JAX inference level, but they describe different problems: TPU slowdown for non-1024 sizes vs fp16 NaN outputs. Not duplicates.", - "confidence": 0.91, - "canonical_issue_reason": "#7765 is the more concrete, self-contained bug report; #6882 is a separate TPU performance issue with a different failure mode.", + "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 best representative of a specific, actionable inference bug, though it should not be treated as a duplicate of #6882.", + "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 underlying bugs: performance regression on Cloud TPU v5e at non-1024 sizes vs numerical instability/NaNs in fp16 inference." + "reason": "Different symptoms and contexts: TPU performance regression at non-1024 sizes versus fp16 NaN generation. Not the same underlying bug." } ] }, @@ -106885,8 +106801,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7383-2", "nodes": [ @@ -106918,24 +106834,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are closely related in title, but the packet only supports a tentative match. With low overlap and no body/diff or explicit link evidence, this should be treated as a possible duplicate rather than the same underlying request.", - "confidence": 0.42, - "canonical_issue_reason": "#8596 is the broader, cleaner phrasing of the ControlNet PlaygroundV2.5 training request, so it is the better candidate if these turn out to be duplicates.", + "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": "#8596 is the most reusable issue title, but the evidence here is too weak to confirm deduplication confidently.", + "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": "Title similarity is real, but the Jaccard overlap is low and there is no body, diff, shared target, or filename evidence to confirm they are the same request. This is only a possible duplicate, not a confirmed one." + "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 pairing is plausible, but the analyst states it too confidently. The packet only shows title-level soft similarity, with low Jaccard overlap and no body/diff evidence to confirm they are the same request. Please downgrade the soft-edge verdict to a cautious \u2018possible duplicate\u2019 rather than asserting they are the same underlying issue." + "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, @@ -106951,8 +106867,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7608-2", "nodes": [ @@ -106984,18 +106900,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related only at a broad API level (`from_pretrained`), but they describe different changes: one requests `strict=False` support, the other asks about removal of the `filename` argument. They do not look like the same underlying bug/change.", - "confidence": 0.84, - "canonical_issue_reason": "Issue 7608 is the broader and more general API feature request around `from_pretrained`, so it is the better representative issue if one must be chosen.", + "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": "Issue 7608 is the best issue for the cluster because it is the more general long-lived request and is not framed as a narrow regression tied to a specific removed argument.", + "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": "Both mention `from_pretrained`, but one is about allowing `strict=False` and the other is about the `filename` argument being removed. Different requested behavior, so not the same underlying issue." + "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." } ] }, @@ -107014,8 +106930,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7677-2", "nodes": [ @@ -107047,18 +106963,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related to testing, but they describe different goals: one is about speeding up fast pipeline tests, the other is about improving model test coverage. I do not consider them duplicates.", - "confidence": 0.95, - "canonical_issue_reason": "issue:7677 is the better representative of the cluster because it has more inbound references and discussion, but the two issues are not the same underlying request.", + "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 strongest single issue to anchor the cluster due to higher visibility and slightly more discussion, though it is not a duplicate of issue:8907.", + "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": "Same broad test area, but different concrete intent: performance/speeding up pipeline tests vs expanding model test coverage. Not the same underlying bug or change." + "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." } ] }, @@ -107077,8 +106993,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7928-2", "nodes": [ @@ -107110,18 +107026,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are not duplicates: one requests Kandinsky 3.1 support, the other requests ControlNet support for Flux.1. They describe different models and different features, so the soft similarity is too weak to merge.", - "confidence": 0.96, - "canonical_issue_reason": null, + "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": "issue:9081 is the more concrete and narrowly scoped feature request, but it is still not a duplicate of issue:7928.", + "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 model/feature requests (Kandinsky 3.1 support vs ControlNet support for Flux.1); they do not describe the same underlying bug or change." + "reason": "Different feature requests for different models (Kandinsky 3.1 vs Flux.1 ControlNet); not the same underlying bug or change." } ] }, @@ -107140,8 +107056,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8619-2", "nodes": [ @@ -107173,18 +107089,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are related to SD3 Dreambooth/finetuning quality, but they describe different failure modes: one is batch-size-induced training destabilization, the other is a general complaint about poor finetuning results with hand/face deformation. They are not the same underlying bug.", - "confidence": 0.88, - "canonical_issue_reason": "Issue #8619 is the more concrete, actionable report: it isolates a specific training instability tied to high batch size in SD3 Dreambooth.", + "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 best representative for this cluster because it most clearly identifies a specific reproducible training-path problem rather than a broad quality complaint.", + "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 concern SD3 finetuning, but #8619 is about instability from high batch size during training while #8748 is about poor output quality/deformations. They do not look like the same underlying bug." + "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." } ] }, @@ -107203,8 +107119,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8933-2", "nodes": [ @@ -107236,18 +107152,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are both Kolors-related feature requests, but they target different capabilities: LoRA training vs. ControlNet/IP-Adapter FaceID support. They do not look like duplicates.", - "confidence": 0.94, - "canonical_issue_reason": null, + "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 more actionable and specific issue: it names concrete missing support and a clearer user goal. #8933 is very broad/vague by comparison.", + "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": "Different requests and code paths: training LoRA models versus adding runtime support for ControlNet and IP-Adapter FaceID. Shared Kolors context alone is not enough to treat them as the same issue." + "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." } ] }, @@ -107266,8 +107182,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9076-2", "nodes": [ @@ -107299,18 +107215,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are both FluxPipeline-related, but they describe different problems: one asks for a better `callback_on_step_end` mechanism, while the other reports `negative_prompt` not working. They do not look like duplicates of the same underlying bug or change.", + "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": "No clear canonical issue for a duplicate cluster here, since the two issues target different FluxPipeline behaviors rather than the same defect.", + "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": "Issue #9124 is the more concrete bug report because it names a specific failing feature (`negative_prompt`) and a clear affected component (`fluxpipeline`).", + "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": "Both mention FluxPipeline, but one concerns step-end callbacks and the other concerns negative prompting; they describe different functionality and do not share the same underlying bug." + "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." } ] }, @@ -107329,8 +107245,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9326-2", "nodes": [ @@ -107362,18 +107278,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are closely related AnimateDiff + ControlNet pipeline reports, but they describe different setups (VideoToVideo vs SparseControl), so they should not be merged as duplicates.", - "confidence": 0.87, - "canonical_issue_reason": "issue:9329 is the better representative because it is open, has more discussion activity, and uses the broader pipeline description.", + "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": "issue:9329 is the strongest issue candidate for the cluster due to higher activity and clearer ongoing relevance.", + "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", - "right": "issue:9329", + "left": "issue #9326 [Pipeline] AnimateDiff + VideoToVideo + ControlNet", + "right": "issue #9329 [Pipeline] AnimateDiff + SparseControl + ControlNet", "accept": false, - "reason": "Similar subsystem, but the reported pipeline combinations differ enough that they do not look like the same underlying bug." + "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." } ] }, @@ -107387,13 +107303,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -107484,10 +107400,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -107722,13 +107638,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 2, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -107816,10 +107732,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -108033,13 +107949,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 3, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -108126,10 +108042,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -108340,13 +108256,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 4, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -108430,10 +108346,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -108620,13 +108536,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 5, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -108711,10 +108627,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -108904,13 +108820,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 6, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -108997,10 +108913,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -109205,13 +109121,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 7, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -109297,10 +109213,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -109505,13 +109421,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 8, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -109597,10 +109513,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -109799,13 +109715,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 9, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -109890,10 +109806,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -110083,13 +109999,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 10, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -110173,10 +110089,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -110360,13 +110276,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 11, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -110452,10 +110368,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -110657,13 +110573,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 12, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -110747,10 +110663,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -110934,13 +110850,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 13, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -111032,10 +110948,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -111267,13 +111183,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 14, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -111358,10 +111274,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -111554,13 +111470,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 15, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -111643,10 +111559,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 38, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -118154,10 +118070,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -118377,13 +118293,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 39, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -118478,10 +118394,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -118731,13 +118647,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 40, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -118853,10 +118769,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 33, @@ -119322,13 +119238,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 41, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -119416,10 +119332,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -119633,13 +119549,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 42, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -119724,10 +119640,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -119923,13 +119839,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 43, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -120014,10 +119930,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -120207,13 +120123,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 44, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -120296,10 +120212,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -120483,13 +120399,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 45, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -120573,10 +120489,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -120760,13 +120676,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 46, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -120849,10 +120765,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -121030,13 +120946,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 47, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -121120,10 +121036,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -121313,13 +121229,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 48, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -121403,10 +121319,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -121596,13 +121512,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 49, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -121687,10 +121603,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -121880,13 +121796,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 50, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -121970,10 +121886,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -122166,13 +122082,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 51, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -122257,10 +122173,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -122444,13 +122360,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 52, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -122541,10 +122457,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -122770,7 +122686,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 53, "review_unit_count": 272, "status": "reviewed", @@ -122862,14 +122778,14 @@ "pull_request:2077|pull_request:3554", "pull_request:2077|pull_request:3555" ], - "prepared_review_unit_hash": "9a182e8cf80f4a5b918d935f0740df793dba7976ebbf7997be824e050f5b1cd8", + "prepared_review_unit_hash": "8c9d4c93a47c391fa1f5a8feb262c5151aa60eb9659ecc41b0c814db2d616553", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -122884,198 +122800,192 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a grab bag of unrelated docs, test refactors, and code fixes across many different components. The soft pairs are mostly false positives; I don\u2019t see a single duplicate issue or PR that spans the set.", - "confidence": 0.98, + "summary": "This cluster is heterogeneous: docs updates, test refactors, pipeline fixes, conversion scripts, and scheduler/model changes. None of the soft-edge pairs look like the same underlying change, so I would reject all of them as duplicates.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster well; the items are mostly unrelated changes, and the only near-duplicate-looking pair (3554/3555) is isolated from the rest.", "best_issue_reason": null, - "best_pr_reason": null, + "best_pr_reason": "No clear global best PR for deduplication: the cluster does not share one concrete bug/change, so any single PR would be a poor anchor.", "soft_edge_verdicts": [ { "left": "pull_request:12984", "right": "pull_request:13158", "accept": false, - "reason": "Both touch docs, but for different pipelines and different additions; not the same change." + "reason": "Both are docs-only pipeline additions, but they document different pipelines and different features." }, { "left": "pull_request:13253", "right": "pull_request:13368", "accept": false, - "reason": "Unrelated test refactors for different model families; no shared bug or change." + "reason": "These are separate test refactors for different models; same test maintenance theme, not the same change." }, { "left": "pull_request:13253", "right": "pull_request:13369", "accept": false, - "reason": "Different transformer test refactors in different areas; not duplicates." + "reason": "Different model test suites and different refactor scopes." }, { "left": "pull_request:13254", "right": "pull_request:13371", "accept": false, - "reason": "Different model test refactors; only superficial test-harness overlap." + "reason": "Both are transformer/autoencoder test refactors, but for unrelated architectures and code paths." }, { "left": "pull_request:13315", "right": "pull_request:13371", "accept": false, - "reason": "Separate Sana vs Wan/autoencoder test refactors; not the same underlying fix." + "reason": "Unrelated test refactors for different model families." }, { "left": "pull_request:13335", "right": "pull_request:13371", "accept": false, - "reason": "Different model test suites and different refactor goals." + "reason": "Different model test suites; only a broad CI-refactor similarity." }, { "left": "pull_request:1341", "right": "pull_request:178", "accept": false, - "reason": "Stable Diffusion repaint pipeline addition vs a separate Stable Diffusion test update; not the same code-path." + "reason": "One adds the RePaint pipeline, the other adds Stable Diffusion tests; not the same bug or change." }, { "left": "pull_request:136", "right": "pull_request:43", "accept": false, - "reason": "Manifest path fix vs adding the model card template itself; related but not duplicate changes." + "reason": "Manifest path fix vs model-card template addition are unrelated changes." }, { "left": "pull_request:1380", "right": "pull_request:3074", "accept": false, - "reason": "A runtime bug fix in attention code vs a docstring correction; not the same artifact." + "reason": "A code-path fix in Transformer2DModel is unrelated to a docstring correction." }, { "left": "pull_request:1386", "right": "pull_request:1505", "accept": false, - "reason": "Both are about v-prediction support, but 1505 extends it to other schedulers rather than duplicating 1386\u2019s specific change set." + "reason": "Both concern v-prediction, but they touch different scheduler sets and are not the same concrete fix." }, { "left": "pull_request:1408", "right": "pull_request:61", "accept": false, - "reason": "Sample-size conversion fix vs a latent diffusion conversion script; different problems." + "reason": "Different conversion scripts for different pipelines/models." }, { "left": "pull_request:1408", "right": "pull_request:63", "accept": false, - "reason": "Sample-size conversion fix vs BDDM conversion script; unrelated." + "reason": "Different conversion scripts targeting different model families." }, { "left": "pull_request:1418", "right": "pull_request:1763", "accept": false, - "reason": "Versatile Diffusion test cleanup vs an attention-mask code fix; different scopes and changes." + "reason": "One is a tests fix, the other changes attention-mask behavior in code; not the same underlying change." }, { "left": "pull_request:1487", "right": "pull_request:1627", "accept": false, - "reason": "Docs update about xformers vs a model utility implementation change; not duplicates." + "reason": "Docs about xformers are not the same as the implementation in modeling_utils." }, { "left": "pull_request:1487", "right": "pull_request:3549", "accept": false, - "reason": "Both are docs-only, but for different topics and files; not the same underlying change." + "reason": "Both are docs changes, but they document different topics and do not fix the same issue." }, { "left": "pull_request:1510", "right": "pull_request:98", "accept": false, - "reason": "Different conversion-script work for different model families; no duplicate bug/change." + "reason": "Different checkpoint conversion scripts for different model types." }, { "left": "pull_request:1582", "right": "pull_request:2415", "accept": false, - "reason": "RePaint scheduler/pipeline update vs a pipeline-utils compatibility fix; unrelated." + "reason": "RePaint scheduler/pipeline fix vs pipeline_utils guard are unrelated code paths." }, { "left": "pull_request:1582", "right": "pull_request:2795", "accept": false, - "reason": "RePaint changes vs LoRA training-script adjustment; different subsystems." + "reason": "RePaint bugfix and LoRA training-script tweak are unrelated." }, { "left": "pull_request:1583", "right": "pull_request:2415", "accept": false, - "reason": "Inpaint-legacy pipeline fix vs pipeline-utils import/version guard; unrelated." + "reason": "Legacy inpaint masking fix vs pipeline_utils version handling are unrelated." }, { "left": "pull_request:1583", "right": "pull_request:2795", "accept": false, - "reason": "Different code paths and purposes; not duplicates." + "reason": "Different bugs in different subsystems; not mergeable as one fix." }, { "left": "pull_request:1601", "right": "pull_request:3183", "accept": false, - "reason": "Classifier-free-guidance bug fix in pipelines vs DreamBooth LoRA checkpointing; unrelated." + "reason": "Both mention bugs, but they are in different pipeline/training code paths and are unrelated fixes." }, { "left": "pull_request:168", "right": "pull_request:299", "accept": false, - "reason": "Foundational Stable Diffusion pipeline work vs a later scheduler hotfix; not the same change." - }, - { - "left": "pull_request:168", - "right": "pull_request:904", - "accept": false, - "reason": "Stable Diffusion pipeline bootstrap vs inpainting pipeline implementation; different artifacts." + "reason": "Stable Diffusion pipeline work and a PNDM scheduler hotfix are different changes." }, { "left": "pull_request:1701", "right": "pull_request:3079", "accept": false, - "reason": "RePaint pipeline fast tests/API conforming vs Attend-and-Excite fast tests; both are test-related but not duplicates." + "reason": "Different pipelines and different goals; only both are test-related on one side." }, { "left": "pull_request:1761", "right": "pull_request:1769", "accept": false, - "reason": "Core UnCLIP CPU offload implementation vs test threshold adjustments; related but not the same PR." + "reason": "The PRs are related by UnCLIP offloading, but one adds the feature and the other only adjusts tests/memory limits." }, { "left": "pull_request:178", "right": "pull_request:5", "accept": false, - "reason": "Stable Diffusion test update vs the much earlier latent-diffusion UNet implementation; unrelated." + "reason": "Stable Diffusion integration tests vs latent-diffusion UNet model implementation are unrelated." }, { "left": "pull_request:178", "right": "pull_request:971", "accept": false, - "reason": "Stable Diffusion pipeline test vs Bit Diffusion community work; different features." + "reason": "Stable Diffusion tests and a community bit-diffusion feature are unrelated." }, { "left": "pull_request:190", "right": "pull_request:3", "accept": false, - "reason": "Import-without-scipy workaround vs hub/config infrastructure work; unrelated." + "reason": "Import-scoping for scipy is unrelated to from-hub loading support." }, { "left": "pull_request:2077", "right": "pull_request:3068", "accept": false, - "reason": "Validation-image support in textual inversion training vs docs finishing pass; docs and code are distinct." + "reason": "Textual inversion validation-image support vs docs updates are not the same change." }, { "left": "pull_request:2077", "right": "pull_request:3554", "accept": false, - "reason": "Textual inversion validation feature vs a different bulk community/example contribution; not duplicate." + "reason": "Same broad textual-inversion area, but one adds validation-image behavior and the other is a separate Moreh integration PR." }, { "left": "pull_request:2077", "right": "pull_request:3555", "accept": false, - "reason": "Same as above; different contribution bundle, not the same change." + "reason": "Same as above: related topic, but different concrete change and scope." } ] }, @@ -123089,13 +122999,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 54, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -123185,10 +123095,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -123408,13 +123318,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 55, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -123505,10 +123415,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -123740,13 +123650,13 @@ { "label": "pull_request", "component_index": 1, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 95, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -135342,10 +135252,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -135595,13 +135505,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 96, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -135689,10 +135599,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 104, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -138168,10 +138078,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -138349,13 +138259,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 105, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -138439,10 +138349,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -138620,13 +138530,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 106, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -138709,10 +138619,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -138896,13 +138806,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 107, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -138986,10 +138896,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -139173,13 +139083,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 108, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -139262,10 +139172,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -139443,13 +139353,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 109, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -139534,10 +139444,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -139727,13 +139637,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 110, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -139818,10 +139728,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -140011,13 +139921,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 111, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -140100,10 +140010,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -140281,13 +140191,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 112, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -140371,10 +140281,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -140558,13 +140468,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 113, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -140648,10 +140558,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -140841,13 +140751,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 114, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -140930,10 +140840,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 116, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -141497,10 +141407,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -141726,13 +141636,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 117, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -141824,10 +141734,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -142059,13 +141969,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 118, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -142153,10 +142063,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -142370,13 +142280,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 119, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -142464,10 +142374,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -142681,13 +142591,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 120, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -142774,10 +142684,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -142979,13 +142889,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 121, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -143073,10 +142983,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -143284,13 +143194,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 122, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -143376,10 +143286,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -143581,13 +143491,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 123, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -143674,10 +143584,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -143879,7 +143789,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 124, "review_unit_count": 272, "status": "reviewed", @@ -143906,7 +143816,6 @@ "pull_request:2685", "pull_request:2693", "pull_request:2748", - "pull_request:2766", "pull_request:2767", "pull_request:2812", "pull_request:2817", @@ -143916,6 +143825,7 @@ "pull_request:2869", "pull_request:2897", "pull_request:2911", + "pull_request:2912", "pull_request:2958", "pull_request:3163", "pull_request:3165", @@ -143923,7 +143833,6 @@ "pull_request:3690", "pull_request:3710", "pull_request:3847", - "pull_request:3923", "pull_request:3942", "pull_request:3961", "pull_request:4022", @@ -143932,6 +143841,7 @@ "pull_request:421", "pull_request:4275", "pull_request:4546", + "pull_request:4564", "pull_request:4721", "pull_request:4853", "pull_request:641", @@ -143964,7 +143874,6 @@ "pull_request:2684|pull_request:3961", "pull_request:2685|pull_request:3961", "pull_request:2693|pull_request:2836", - "pull_request:2766|pull_request:3923", "pull_request:2767|pull_request:3581", "pull_request:2812|pull_request:4022", "pull_request:2817|pull_request:3710", @@ -143972,240 +143881,248 @@ "pull_request:2861|pull_request:3847", "pull_request:2869|pull_request:3165", "pull_request:2897|pull_request:3690", - "pull_request:2911|pull_request:3165" + "pull_request:2911|pull_request:3165", + "pull_request:2912|pull_request:3165", + "pull_request:2912|pull_request:4564" ], - "prepared_review_unit_hash": "539961d81e813e5b0e1fd8a0be5dd3010855278a5c858f09d7f71120e7d735ea", + "prepared_review_unit_hash": "9ad4ca190f6014b650b6e2e412a2c963c213fe16f09e4504a67f778cdf1cfc56", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 34, - "serialized_chars": 94926, - "estimated_input_tokens": 23732, - "estimated_eval_tokens": 47720 + "soft_pair_count": 35, + "serialized_chars": 95635, + "estimated_input_tokens": 23909, + "estimated_eval_tokens": 48074 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose mix of small docs typo/format fixes and a few unrelated code/test changes; there is no clear shared underlying bug or change across the soft edges.", - "confidence": 0.98, + "summary": "This cluster is a grab bag of small docs typo/formatting edits, translation updates, test tweaks, and a few unrelated code fixes. I don\u2019t see any pair that represents the same underlying bug or change, so it should not be collapsed into one duplicate group.", + "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster; the items span unrelated documentation edits, dependency-test changes, and separate code fixes across different subsystems.", "best_issue_reason": null, - "best_pr_reason": "PR 2677 is the most substantial and representative docs change, but the cluster is too heterogeneous for it to serve as a true duplicate anchor.", + "best_pr_reason": "If forced to pick a representative PR, 2677 is the broadest substantive docs change, but it still only covers ControlNet training docs and does not match the rest of the cluster.", "soft_edge_verdicts": [ { "left": "pull_request:2540", "right": "pull_request:2677", "accept": false, - "reason": "Both are docs PRs, but they touch different pages and different changes; not the same underlying fix." + "reason": "Both touch docs, but one is a ControlNet section typo and the other adds a training-section ControlNet entry; different changes." }, { "left": "pull_request:2543", "right": "pull_request:651", "accept": false, - "reason": "Unrelated code changes: model offload warnings vs scheduler deprecation warnings." + "reason": "Both mention warnings/offload, but they fix different code paths: model CPU offload vs scheduler deprecation warnings." }, { "left": "pull_request:2559", "right": "pull_request:2677", "accept": false, - "reason": "Different docs edits in different locations; one is a ControlNet docs format fix, the other adds training docs." + "reason": "ControlNet docs format cleanup vs adding a ControlNet training doc entry; not the same artifact or fix." }, { "left": "pull_request:2559", "right": "pull_request:421", "accept": false, - "reason": "Both are docs-related, but they fix different sections and different wording issues." + "reason": "Unrelated docs edits in different areas: ControlNet docs formatting vs scheduler documentation corrections." }, { "left": "pull_request:2559", "right": "pull_request:4275", "accept": false, - "reason": "Different docs pages and different content; not a duplicate change." + "reason": "Both are docs, but one is ControlNet formatting and the other is an AutoPipeline docs correction." }, { "left": "pull_request:2559", "right": "pull_request:4721", "accept": false, - "reason": "Different documentation files and different edits; no shared bug/change." + "reason": "Different docs and different language versions; no shared underlying change." }, { "left": "pull_request:2563", "right": "pull_request:4145", "accept": false, - "reason": "EMA cache cleanup is unrelated to the UnCLIP pipeline draft/demo change." + "reason": "EMA cache behavior fix vs a draft UnCLIP pipeline refactor/showcase; unrelated changes." }, { "left": "pull_request:2566", "right": "pull_request:4546", "accept": false, - "reason": "Tensorboard tracker typo fix is unrelated to the ControlNet typo correction." + "reason": "Different typos in different files and contexts; not the same bug or change." }, { "left": "pull_request:2566", "right": "pull_request:948", "accept": false, - "reason": "Training logger fix and DDPM comment typo are unrelated changes." + "reason": "Both are small typo fixes, but they affect different pipelines and different text." }, { "left": "pull_request:2598", "right": "pull_request:4022", "accept": false, - "reason": "Both are docs, but one is Paint-by-Example docs and the other is a broad Korean translation update." + "reason": "English Paint by Example docs update vs Korean translation update; not a duplicate change." }, { "left": "pull_request:2598", "right": "pull_request:4203", "accept": false, - "reason": "Different docs pages and content; no same underlying change." + "reason": "Different docs pages and different typo fixes; no shared concrete change." }, { "left": "pull_request:2602", "right": "pull_request:641", "accept": false, - "reason": "Both pin huggingface-hub, but to different versions and in different test contexts; not mergeable as one fix." + "reason": "Both pin huggingface-hub for testing, but they target different versions and different test episodes." }, { "left": "pull_request:2637", "right": "pull_request:3163", "accept": false, - "reason": "A quicktour typo fix is unrelated to custom diffusion attribution/docs changes." + "reason": "Quicktour wording cleanup vs custom diffusion author credit; unrelated docs changes." }, { "left": "pull_request:2637", "right": "pull_request:3961", "accept": false, - "reason": "Different docs pages and different wording fixes; not the same bug." + "reason": "Different documentation pages with unrelated wording/emoji fixes." }, { "left": "pull_request:2639", "right": "pull_request:2748", "accept": false, - "reason": "Basic training docs update and torch2.0 docs typo fix are unrelated." + "reason": "Basic training docs vs torch 2.0 optimization docs; not the same underlying issue." }, { "left": "pull_request:2642", "right": "pull_request:3163", "accept": false, - "reason": "Loading docs wording fix is unrelated to custom diffusion attribution/docs changes." + "reason": "Loading docs wording fix vs custom diffusion credit/docs update; unrelated." }, { "left": "pull_request:2642", "right": "pull_request:3961", "accept": false, - "reason": "Different docs files and different edits; no duplicate relationship." + "reason": "Separate docs pages and separate wording fixes; no duplicate signal." }, { "left": "pull_request:2647", "right": "pull_request:3163", "accept": false, - "reason": "Scheduler docs wording fix is unrelated to custom diffusion attribution/docs changes." + "reason": "Scheduler docs wording fix and custom diffusion author credit are unrelated." }, { "left": "pull_request:2647", "right": "pull_request:3961", "accept": false, - "reason": "Different docs pages and different typo fixes; not the same change." + "reason": "Different docs pages with distinct text edits; not the same change." }, { "left": "pull_request:2677", "right": "pull_request:2958", "accept": false, - "reason": "ControlNet training docs addition is unrelated to the ControlNet inpaint code addition." + "reason": "Both involve ControlNet, but one adds training docs and the other adds a new ControlNet inpaint pipeline implementation." }, { "left": "pull_request:2678", "right": "pull_request:3942", "accept": false, - "reason": "EMA test refactor is unrelated to the xformers attention test fix." + "reason": "Different test fixes: EMA serialization slowdown vs numpy comparison issues in pipeline tests." }, { "left": "pull_request:2684", "right": "pull_request:3163", "accept": false, - "reason": "Custom pipeline overview wording fix is unrelated to custom diffusion attribution/docs changes." + "reason": "Custom pipeline overview punctuation fix vs custom diffusion credit/docs update; unrelated." }, { "left": "pull_request:2684", "right": "pull_request:3961", "accept": false, - "reason": "Different docs pages and unrelated wording fixes." + "reason": "Different docs pages and unrelated wording changes." }, { "left": "pull_request:2685", "right": "pull_request:3961", "accept": false, - "reason": "Kerascv docs typo fix is unrelated to the consistency models docs wording change." + "reason": "KerasCV docs punctuation fix vs consistency-models docs attribution cleanup; unrelated." }, { "left": "pull_request:2693", "right": "pull_request:2836", "accept": false, - "reason": "Inpaint doc image link fix is unrelated to the DreamBooth LoRA link fix." - }, - { - "left": "pull_request:2766", - "right": "pull_request:3923", - "accept": false, - "reason": "MPS test expectation changes are unrelated to the missing-torch-import docs fix." + "reason": "Inpaint image-link fix vs DreamBooth LoRA link fix; both docs, but different pages and issues." }, { "left": "pull_request:2767", "right": "pull_request:3581", "accept": false, - "reason": "LoRA training script logic fix is unrelated to a community example cleanup." + "reason": "LoRA training script PEFT flag fix vs community bit_diffusion import cleanup; unrelated code changes." }, { "left": "pull_request:2812", "right": "pull_request:4022", "accept": false, - "reason": "Stable unCLIP docs update is unrelated to the Korean translation update." + "reason": "Stable unCLIP English docs update vs Korean translation update; not duplicates." }, { "left": "pull_request:2817", "right": "pull_request:3710", "accept": false, - "reason": "UNet1DModel docs addition is unrelated to image processor documentation." + "reason": "UNet1DModel API docs addition vs image processor docs page creation; different features." }, { "left": "pull_request:2845", "right": "pull_request:4853", "accept": false, - "reason": "Pipeline handling of explicit None embeds is unrelated to image processor width calculation." + "reason": "StableUnCLIP image_embeds handling bug vs image processor width bug; different code paths." }, { "left": "pull_request:2861", "right": "pull_request:3847", "accept": false, - "reason": "A pipeline behavior test addition is unrelated to dependency workflow/test infrastructure." + "reason": "Pipeline regression test for image_embeds=None vs CI soft-dependency test workflow; unrelated." }, { "left": "pull_request:2869", "right": "pull_request:3165", "accept": false, - "reason": "Paint-by-Example docs punctuation fix is unrelated to Custom Diffusion docs spacing/section edits." + "reason": "Paint-by-example docs punctuation vs Custom Diffusion docs spacing; unrelated docs edits." }, { "left": "pull_request:2897", "right": "pull_request:3690", "accept": false, - "reason": "Stable UnCLIP docs example and Kandinsky pipeline example are different pipeline docs/examples." + "reason": "Stable unCLIP docs example vs Kandinsky pipeline example fix; different models and changes." }, { "left": "pull_request:2911", "right": "pull_request:3165", "accept": false, - "reason": "Image variation docs punctuation fix is unrelated to Custom Diffusion docs edits." + "reason": "Image variation docs punctuation vs Custom Diffusion docs spacing; unrelated." + }, + { + "left": "pull_request:2912", + "right": "pull_request:3165", + "accept": false, + "reason": "ControlNet docs punctuation cleanup vs Custom Diffusion docs formatting; unrelated." + }, + { + "left": "pull_request:2912", + "right": "pull_request:4564", + "accept": false, + "reason": "Both mention ControlNet, but one is docs punctuation and the other changes the SDXL ControlNet repo name/code references." } ] }, @@ -144219,7 +144136,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 125, "review_unit_count": 272, "status": "reviewed", @@ -144229,7 +144146,6 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ - "pull_request:2912", "pull_request:2958", "pull_request:2974", "pull_request:3023", @@ -144238,7 +144154,6 @@ "pull_request:3121", "pull_request:3123", "pull_request:3132", - "pull_request:3165", "pull_request:3215", "pull_request:3226", "pull_request:3262", @@ -144256,6 +144171,7 @@ "pull_request:3563", "pull_request:3568", "pull_request:3577", + "pull_request:3592", "pull_request:3690", "pull_request:3691", "pull_request:4227", @@ -144269,6 +144185,7 @@ "pull_request:4796", "pull_request:4910", "pull_request:4934", + "pull_request:5065", "pull_request:5323", "pull_request:5411", "pull_request:5671", @@ -144278,8 +144195,6 @@ "pull_request:948" ], "soft_pairs": [ - "pull_request:2912|pull_request:3165", - "pull_request:2912|pull_request:4564", "pull_request:2958|pull_request:3121", "pull_request:2974|pull_request:897", "pull_request:3023|pull_request:3691", @@ -144304,198 +144219,193 @@ "pull_request:3549|pull_request:5844", "pull_request:3563|pull_request:3690", "pull_request:3568|pull_request:4626", - "pull_request:3577|pull_request:5411" + "pull_request:3577|pull_request:5411", + "pull_request:3592|pull_request:5065" ], - "prepared_review_unit_hash": "cc45a05bbd238a4c16da7a5a1c0a0c71a248b16376b95b2a14b9e037a5f9d266", + "prepared_review_unit_hash": "d65947fd5c1cd8a11ed3e60410232837c2f2c9c291eff82a248e3a451f4daa86", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, - "soft_pair_count": 27, - "serialized_chars": 90274, - "estimated_input_tokens": 22569, - "estimated_eval_tokens": 45394 + "soft_pair_count": 26, + "serialized_chars": 91713, + "estimated_input_tokens": 22929, + "estimated_eval_tokens": 46114 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is heterogeneous: mostly unrelated docs typo/link fixes plus several distinct code changes in different pipelines/models. No soft pair looks like the same underlying bug or change, so all candidates should be rejected.", + "summary": "This cluster is heterogeneous: mostly unrelated docs/example/bugfix PRs across different pipelines and training guides, with no clear duplicate-centered subgroup. The soft edges are mostly superficial similarity on shared subsystems or filenames.", "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR is a safe canonical anchor for this cluster. The items span unrelated docs-only edits, feature additions, and bug fixes across different subsystems. If forced to pick the closest thing to a representative PR, 4696 is the most substantial, but it is still not a duplicate target for the others.", + "canonical_pr_reason": "No single PR is a good canonical duplicate target here; the items span unrelated changes rather than one underlying bug or feature.", "best_issue_reason": null, - "best_pr_reason": "4696 is the most representative by scope and discussion volume, but the cluster is too mixed for it to serve as a true canonical duplicate PR.", + "best_pr_reason": "No PR in this cluster is a strong global representative, because the changes are too diverse to anchor duplicate triage safely.", "soft_edge_verdicts": [ - { - "left": "pull_request:2912", - "right": "pull_request:3165", - "accept": false, - "reason": "Both are docs edits, but one is a punctuation fix in controlnet docs and the other is unrelated spacing/content changes in custom diffusion docs." - }, - { - "left": "pull_request:2912", - "right": "pull_request:4564", - "accept": false, - "reason": "Same broad ControlNet docs area, but one fixes a link punctuation issue and the other updates SDXL ControlNet repo names/model links." - }, { "left": "pull_request:2958", "right": "pull_request:3121", "accept": false, - "reason": "Different changes: one adds a ControlNet inpaint pipeline, the other adds global pooling behavior inside ControlNet forward." + "reason": "Both touch ControlNet, but one adds the inpaint pipeline and the other adds global pooling in the model; different code paths and fixes." }, { "left": "pull_request:2974", "right": "pull_request:897", "accept": false, - "reason": "Both touch community examples, but they add different pipelines/examples for different modalities and code paths." + "reason": "Both are community examples/README updates, but they add different pipelines with no shared underlying bug or change." }, { "left": "pull_request:3023", "right": "pull_request:3691", "accept": false, - "reason": "Both relate to attention/torch 2.0, but one fixes an attention processor reshape path while the other changes LoRA text-encoder loading." + "reason": "Both involve attention processors and PyTorch 2.0, but one changes KV processor block behavior while the other switches LoRA loading classes; not the same fix." }, { "left": "pull_request:3063", "right": "pull_request:848", "accept": false, - "reason": "Unrelated fixes: pipeline __setattr__ handling of None versus Flax latent shape calculation." + "reason": "Unrelated pipeline bugs: one fixes __setattr__ handling of None, the other fixes Flax latent shape calculation." }, { "left": "pull_request:3118", "right": "pull_request:4333", "accept": false, - "reason": "Different pipelines and concerns: ControlNet prepare_image defaults versus DreamBooth validation scheduler behavior." + "reason": "Different areas and goals: ControlNet prepare_image defaults versus DreamBooth validation scheduler for IF training." }, { "left": "pull_request:3118", "right": "pull_request:948", "accept": false, - "reason": "ControlNet API default fix is unrelated to a DDPM comment typo." + "reason": "One changes ControlNet prepare_image defaults; the other is a DDPM comment typo. Not the same underlying issue." }, { "left": "pull_request:3123", "right": "pull_request:3132", "accept": false, - "reason": "Different typo fixes in unrelated docs/code: textual inversion JAX docs versus ScoreSde pipeline type annotation." + "reason": "Separate typo fixes in different pipelines; no shared concrete bug or change." }, { "left": "pull_request:3132", "right": "pull_request:4546", "accept": false, - "reason": "A ScoreSde type-hint fix is unrelated to a ControlNet conversion-script typo." + "reason": "Different typos in different code paths: Score SDE pipeline typing versus ControlNet conversion script wording." }, { "left": "pull_request:3132", "right": "pull_request:948", "accept": false, - "reason": "Different files and issues: ScoreSde type annotation versus DDPM comment typo." + "reason": "A pipeline type annotation fix is unrelated to a DDPM comment typo." }, { "left": "pull_request:3215", "right": "pull_request:4696", "accept": false, - "reason": "8-bit loading checks in pipeline utilities are unrelated to adding T2I-Adapter-XL support." + "reason": "8-bit loading checks in pipeline_utils is unrelated to adding T2I-Adapter-XL models and docs." }, { "left": "pull_request:3226", "right": "pull_request:3542", "accept": false, - "reason": "Both involve ControlNet, but one is docs for ControlNet v1.1 and the other adds LoRA support in ControlNet code/tests." + "reason": "Docs update for ControlNet v1.1 versus adding LoRA support to ControlNet pipelines; different changes." }, { "left": "pull_request:3262", "right": "pull_request:4564", "accept": false, - "reason": "Both rename model references, but one is IF-to-XL and the other is SDXL ControlNet repo-name updates; different products and fixes." + "reason": "IF renaming and SDXL ControlNet repo-name updates are separate doc/model naming changes." }, { "left": "pull_request:3266", "right": "pull_request:4796", "accept": false, - "reason": "Community pipeline version loading and SDXL type-mismatch fixes are unrelated code paths." + "reason": "Dynamic module version loading fix is unrelated to SDXL type-mismatch handling." }, { "left": "pull_request:3271", "right": "pull_request:4934", "accept": false, - "reason": "Both are training docs, but one adds links to existing scripts across docs while the other introduces a new T2I-Adapter training script and docs." + "reason": "Training-doc link additions versus adding a new T2I-Adapter training script are not the same change." }, { "left": "pull_request:3334", "right": "pull_request:4910", "accept": false, - "reason": "Separate doc fixes in different guides: pipeline_utils docstring cleanup versus inpainting example typo correction." + "reason": "Docstring cleanup in pipeline_utils is unrelated to the inpainting example typo fix." }, { "left": "pull_request:3345", "right": "pull_request:4531", "accept": false, - "reason": "README pipeline-class typo and SD reference indexing bug are unrelated." + "reason": "README pipeline-class correction and SD reference indexing fix affect different examples and code paths." }, { "left": "pull_request:3370", "right": "pull_request:4564", "accept": false, - "reason": "Both are documentation updates, but they target different topics: PyTorch 2.0 optimization versus SDXL ControlNet repo naming." + "reason": "General PyTorch 2.0 docs update is unrelated to the SDXL ControlNet repo-name/docs correction." }, { "left": "pull_request:3388", "right": "pull_request:4227", "accept": false, - "reason": "Installation docs update versus a missing import in a textual inversion example; different fixes." + "reason": "Installing transformers in docs is unrelated to adding a missing import in a textual inversion example." }, { "left": "pull_request:3398", "right": "pull_request:5323", "accept": false, - "reason": "Both touch docs, but one fixes a typo in stable_diffusion.md and the other corrects adapter code links." + "reason": "A typo fix in stable_diffusion.mdx is unrelated to correcting adapter code links." }, { "left": "pull_request:3417", "right": "pull_request:5671", "accept": false, - "reason": "UnCLIP scheduler note and dependency-test workflow changes are unrelated." + "reason": "A scheduler note doc change and a CI dependency-check workflow change are not the same underlying issue." }, { "left": "pull_request:3525", "right": "pull_request:4258", "accept": false, - "reason": "README edits, but one changes example code and repository wording while the other changes SDXL training guidance text." + "reason": "Both are README/docs edits, but they address different files and topics with no shared bug or code change." }, { "left": "pull_request:3549", "right": "pull_request:5844", "accept": false, - "reason": "Both are docs, but one updates evaluation text for prompt datasets and the other adds a Japanese SDXL reference example." + "reason": "Parti prompts docs update and adding a Japanese SDXL reference are unrelated documentation additions." }, { "left": "pull_request:3563", "right": "pull_request:3690", "accept": false, - "reason": "Different areas entirely: VQ pipeline normalization logic versus a Kandinsky example fix." + "reason": "VQ pipeline block logic fix and Kandinsky example updates are unrelated." }, { "left": "pull_request:3568", "right": "pull_request:4626", "accept": false, - "reason": "Both fix broken links, but in different documents and different targets." + "reason": "Broken links in a training doc versus fixing text2image.md links are separate documentation fixes." }, { "left": "pull_request:3577", "right": "pull_request:5411", "accept": false, - "reason": "README link cleanup is unrelated to the textual inversion inference doc link fix." + "reason": "README link updates and a textual inversion training-doc link fix are different pages and changes." + }, + { + "left": "pull_request:3592", + "right": "pull_request:5065", + "accept": false, + "reason": "Removing debug prints from attention_processor.py is not the same as the broader typo/doc/example cleanup PR touching the same file." } ] }, @@ -144509,7 +144419,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 126, "review_unit_count": 272, "status": "reviewed", @@ -144519,7 +144429,6 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ - "pull_request:3592", "pull_request:3625", "pull_request:3685", "pull_request:3710", @@ -144530,6 +144439,7 @@ "pull_request:3852", "pull_request:3903", "pull_request:392", + "pull_request:3923", "pull_request:3941", "pull_request:3942", "pull_request:3962", @@ -144550,13 +144460,13 @@ "pull_request:4320", "pull_request:4397", "pull_request:4437", + "pull_request:4612", "pull_request:4729", "pull_request:4740", "pull_request:4741", "pull_request:4886", "pull_request:4965", "pull_request:5013", - "pull_request:5065", "pull_request:5367", "pull_request:5549", "pull_request:5550", @@ -144568,7 +144478,6 @@ "pull_request:910" ], "soft_pairs": [ - "pull_request:3592|pull_request:5065", "pull_request:3625|pull_request:4740", "pull_request:3685|pull_request:5911", "pull_request:3710|pull_request:4285", @@ -144579,6 +144488,7 @@ "pull_request:3852|pull_request:5844", "pull_request:3903|pull_request:5550", "pull_request:392|pull_request:420", + "pull_request:3923|pull_request:4612", "pull_request:3941|pull_request:4741", "pull_request:3941|pull_request:5745", "pull_request:3962|pull_request:4437", @@ -144595,190 +144505,190 @@ "pull_request:4099|pull_request:4886", "pull_request:4196|pull_request:5982" ], - "prepared_review_unit_hash": "c70e778743077ef6bb9ac2573dab1ae0d1555d424cda8132aeef4c343bbdc455", + "prepared_review_unit_hash": "938525e3e1b24121024de9e9eccaf5a6902f93a5759a40bb0390fdfecd2484ae", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 26, - "serialized_chars": 92597, - "estimated_input_tokens": 23150, - "estimated_eval_tokens": 46556 + "serialized_chars": 90905, + "estimated_input_tokens": 22727, + "estimated_eval_tokens": 45710 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a grab bag of unrelated docs, workflow, test, and bug-fix PRs. I don\u2019t see any true duplicate pair here, so all soft edges should be rejected. The best representative PR is a focused code fix with tests rather than a docs-only or workflow-only change.", - "confidence": 0.96, + "summary": "No soft pair looks like a true duplicate; most are unrelated docs-only changes or distinct bug fixes in different code paths. The cluster is better treated as a loose topical grouping than a duplicate set.", + "confidence": 0.92, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 3994 is the most self-contained concrete code change with an explicit linked issue and test updates, so it is the strongest representative of the cluster.", + "canonical_pr_reason": "PR 5911 is the strongest representative artifact: it has an explicit issue target, substantial multi-file code change, tests, and documentation, making it the clearest standalone change in the set.", "best_issue_reason": null, - "best_pr_reason": "PR 3994 has the clearest bug-to-fix mapping and validation; most other items are docs, formatting, or unrelated fixes in different code paths.", + "best_pr_reason": "PR 5911 is the best global PR candidate because it addresses a concrete feature gap, includes implementation plus tests/docs, and is clearly scoped to one change rather than a broad or speculative cleanup.", "soft_edge_verdicts": [ - { - "left": "pull_request:3592", - "right": "pull_request:5065", - "accept": false, - "reason": "Different changes: one removes debug prints in attention processor, the other is a broad LoRA/docs/model sweep; not the same bug or mergeable change." - }, { "left": "pull_request:3625", "right": "pull_request:4740", "accept": false, - "reason": "Unrelated: a doc-builder workflow test tweak versus a safetensors dependency test branch." + "reason": "Unrelated changes: doc-builder workflow tweak vs safetensors dependency pin. No shared bug or code path." }, { "left": "pull_request:3685", "right": "pull_request:5911", "accept": false, - "reason": "Different features in different areas: StableDiffusion thread inference support vs IP-Adapter face-model support." + "reason": "Different features in different areas: StableDiffusionPipeline thread inference support vs IP-Adapter face-model support." }, { "left": "pull_request:3710", "right": "pull_request:4285", "accept": false, - "reason": "Both are documentation PRs, but for different topics and pages; no shared underlying bug/change." + "reason": "Both are docs, but for unrelated topics: image processor docs vs ONNX/OpenVINO docs." }, { "left": "pull_request:3755", "right": "pull_request:3942", "accept": false, - "reason": "Both touch tests, but they fix different flaky behaviors in different test files and code paths." + "reason": "Different flaky-test fixes in different test files; not the same underlying failure." }, { "left": "pull_request:3786", "right": "pull_request:3994", "accept": false, - "reason": "PR template addition is unrelated to adding an activation-function parameter in UNet1D blocks." + "reason": "PR template addition is unrelated to adding an act_fn parameter to a model block." }, { "left": "pull_request:382", "right": "pull_request:910", "accept": false, - "reason": "Different docs sets: DDPM pipeline docs vs inpainting pipeline docs." + "reason": "Both are docs, but one is DDPM docs and the other is initial in-painting docs; unrelated changes." }, { "left": "pull_request:3839", "right": "pull_request:4320", "accept": false, - "reason": "Scheduler code bugfix vs ONNX documentation typo; entirely different artifacts." + "reason": "Scheduler noise-handling typo fix is unrelated to an ONNX Runtime documentation typo." }, { "left": "pull_request:3852", "right": "pull_request:5844", "accept": false, - "reason": "Both are docs, but one adds a contributor note for paradigms while the other adds a Japanese SDXL reference example." + "reason": "Different documentation updates for different subjects; no shared underlying change." }, { "left": "pull_request:3903", "right": "pull_request:5550", "accept": false, - "reason": "Broad Kandinsky2.2 implementation PR vs a small documentation checkpoint correction; not the same change." + "reason": "PR 3903 implements Kandinsky2.2 pipelines; PR 5550 only corrects a doc checkpoint reference." }, { "left": "pull_request:392", "right": "pull_request:420", "accept": false, - "reason": "Different documentation overhauls in different sections; no duplicate underlying task." + "reason": "Old conceptual docs rewrite vs optimization-section cleanup; not the same document or change." + }, + { + "left": "pull_request:3923", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs fixes in different pages; one adds an import, the other fixes links." }, { "left": "pull_request:3941", "right": "pull_request:4741", "accept": false, - "reason": "A loading-docs typo fix is unrelated to fixing dummy imports for AudioLDM2." + "reason": "Doc fix in loading guide vs dummy import fix for AudioLDM2; unrelated artifacts." }, { "left": "pull_request:3941", "right": "pull_request:5745", "accept": false, - "reason": "A loading-docs typo fix is unrelated to a ConsistencyDecoder example type correction." + "reason": "Doc fix in loading guide vs a consistency decoder example type fix; different concerns." }, { "left": "pull_request:3962", "right": "pull_request:4437", "accept": false, - "reason": "Checkpoint URL doc correction vs a consistency-model sampling code fix; different scopes and code paths." + "reason": "Docs URL correction vs consistency-model sampling bug fix; different change types and code paths." }, { "left": "pull_request:3971", "right": "pull_request:4965", "accept": false, - "reason": "Different documentation changes: SDXL docs/CI updates versus Wuerstchen formatting tweaks." + "reason": "SDXL docs/workflow update vs W\u00fcrstchen docs formatting; unrelated documentation changes." }, { "left": "pull_request:3979", "right": "pull_request:4267", "accept": false, - "reason": "SDXL code bugfix vs docs image replacement; not the same underlying change." + "reason": "Different SDXL-related changes: a code bug in pipeline logic vs a docs image update." }, { "left": "pull_request:3979", "right": "pull_request:4729", "accept": false, - "reason": "Different code paths and goals: SDXL pipeline bugfix vs progress-bar handling in a community example." + "reason": "Different code paths: SDXL attention/offload bug vs a progress-bar update in a community example." }, { "left": "pull_request:3979", "right": "pull_request:5013", "accept": false, - "reason": "Both are SDXL-related fixes, but they address different dtype/attention issues in different pipelines." + "reason": "Both touch SDXL-adjacent code, but the bugs are different: attention processor detection vs InstructPix2Pix dtype handling." }, { "left": "pull_request:3987", "right": "pull_request:4113", "accept": false, - "reason": "Audio Diffusion doc snippet fix is unrelated to SDXL inpaint dtype handling." + "reason": "Audio Diffusion docs fix and SDXL inpaint dtype fix are unrelated." }, { "left": "pull_request:4022", "right": "pull_request:5549", "accept": false, - "reason": "Separate localization updates for different languages; not duplicates." + "reason": "Different localization updates for different languages; not the same change." }, { "left": "pull_request:406", "right": "pull_request:710", "accept": false, - "reason": "Toctree typo fix and docstring formatting fix are unrelated." + "reason": "Toctree typo fix vs docstring formatting fix; unrelated." }, { "left": "pull_request:4070", "right": "pull_request:5367", "accept": false, - "reason": "Minor SDXL doc wording changes versus a pipeline creation fix in the tutorial; different issues." + "reason": "Minor SDXL docs tweaks vs a tutorial code sample fix; not the same underlying issue." }, { "left": "pull_request:4082", "right": "pull_request:5367", "accept": false, - "reason": "Requirements-file correction is unrelated to the SDXL pipeline creation fix." + "reason": "Requirements-file change vs tutorial pipeline creation fix; unrelated." }, { "left": "pull_request:4099", "right": "pull_request:4397", "accept": false, - "reason": "Prompt-embedding bugfix in code vs a docstring/default-value documentation update." + "reason": "One is an SDXL prompt-embeddings bugfix; the other is a docstring default-value correction." }, { "left": "pull_request:4099", "right": "pull_request:4886", "accept": false, - "reason": "Different SDXL bugs in different functions: prompt embeddings vs safety checker preprocessing." + "reason": "Both are pipeline fixes, but they address different code paths: prompt embeddings vs safety checker handling." }, { "left": "pull_request:4196", "right": "pull_request:5982", "accept": false, - "reason": "SDXL doc improvements vs SDXL Turbo docs; distinct documentation work." + "reason": "Both are docs, but one improves SDXL docs and the other adds SDXL Turbo docs; separate content." } ] }, @@ -144792,13 +144702,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 127, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -144887,10 +144797,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 135, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -147253,10 +147163,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -147449,13 +147359,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 136, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -147539,10 +147449,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 138, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -148087,10 +147997,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -148280,13 +148190,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 139, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -148369,10 +148279,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 141, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -148937,10 +148847,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -149124,13 +149034,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 142, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -149214,10 +149124,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -149401,13 +149311,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 143, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -149491,10 +149401,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -149678,13 +149588,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 144, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -149768,10 +149678,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -149955,13 +149865,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 145, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -150043,10 +149953,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 165, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -155859,10 +155769,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -156046,13 +155956,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 166, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -156136,10 +156046,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -156323,13 +156233,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 167, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -156412,10 +156322,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -156599,7 +156509,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 168, "review_unit_count": 272, "status": "reviewed", @@ -156687,14 +156597,14 @@ "pull_request:12092|pull_request:12586", "pull_request:12092|pull_request:12911" ], - "prepared_review_unit_hash": "ba7eb2d8b1055b5fb34446cb18e2feaa57ea719af4a351b13e34134975a2821d", + "prepared_review_unit_hash": "1fae62d2adc9a01c7e3dfe886452913d3380e114c1cc908ad7e5edf9f218b66b", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -156709,194 +156619,197 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous rather than duplicate-heavy: it mixes unrelated docs, workflow, refactor, and feature PRs. The soft-edge pairs mostly share a subsystem or filename pattern, but they do not describe the same concrete bug or change.", - "confidence": 0.97, + "summary": "This cluster is mostly a grab-bag of unrelated Diffusers PRs. I found one plausible same-feature pair around Pix2Pix Zero/DDIM inversion; the rest look like distinct changes, fixes, docs, or tests that should not be merged as duplicates.", + "confidence": 0.82, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR is a valid canonical here; the items are about different features/fixes and cannot be merged as one duplicate change.", + "canonical_pr_reason": "PR #2334 is the broader, original Pix2Pix Zero feature addition and is the best representative of the only closely related PR pair in this set.", "best_issue_reason": null, - "best_pr_reason": "No global best PR is suitable because the cluster is not a single underlying change and spans unrelated topics.", + "best_pr_reason": "PR #2334 is the most canonical representative because it introduced the feature end-to-end, while #2397 looks like a follow-up implementation piece for the same feature family.", "soft_edge_verdicts": [ { "left": "pull_request:4947", "right": "pull_request:5853", "accept": false, - "reason": "Different areas: t2i-adapter training CLI/tests vs doctest infrastructure; not the same change." + "reason": "Different areas entirely: t2i-adapter training script tests vs doctest infrastructure." }, { "left": "pull_request:5186", "right": "pull_request:7328", "accept": false, - "reason": "Unrelated content: FreeU proof-of-concept vs PyPI workflow dependency tweak." + "reason": "Unrelated changes: a FreeU proof-of-concept vs adding torch to a PyPI publish workflow." }, { "left": "pull_request:6007", "right": "pull_request:6237", "accept": false, - "reason": "Both docs-related, but one adds `#Copied from` guidance and the other warns about batched seeds; no shared bug/change." + "reason": "Both are docs, but they cover different topics and different user guidance." }, { "left": "pull_request:6007", "right": "pull_request:7134", "accept": false, - "reason": "Both documentation edits only; `#Copied from` guidance is unrelated to unet type hints." + "reason": "Different docs/content changes; no shared underlying bug or feature." }, { "left": "pull_request:6864", "right": "pull_request:8684", "accept": false, - "reason": "Different docs topics: PEFT/torch.compile guidance vs a Pillow import fix in a controlnet example." + "reason": "A PEFT docs addition and a Pillow import fix are unrelated." }, { "left": "pull_request:6961", "right": "pull_request:7295", "accept": false, - "reason": "Both touch conversion/loading utilities, but one is single-file loader tests and the other is a UNet loader doc cleanup; not the same fix." + "reason": "Both touch single-file loading, but one is test/loader conversion work and the other is a UNet loader wording cleanup; not the same concrete change." }, { "left": "pull_request:7044", "right": "pull_request:7134", "accept": false, - "reason": "Shared UNet file family, but one re-adds a mid-block factory and the other only adds type hints; not duplicate changes." + "reason": "A UNet refactor and UNet type-hint cleanup are separate changes, not duplicates." }, { "left": "pull_request:7202", "right": "pull_request:8698", "accept": false, - "reason": "Unrelated: removing `huggingface-cli` from example requirements vs transformer2d output-class deprecation cleanup." + "reason": "Removal of huggingface-cli from requirements is unrelated to transformer output deprecation cleanup." }, { "left": "pull_request:7206", "right": "pull_request:8650", "accept": false, - "reason": "Both are training-script related, but one adds diffusers-training tags and the other adds SD3 DreamBooth tests; different concerns." + "reason": "Training-script tags and SD3 DreamBooth test additions are different changes." }, { "left": "pull_request:7410", "right": "pull_request:9247", "accept": false, - "reason": "FreeInit behavior fix vs pipeline-loading variant detection bug; different code paths and symptoms." + "reason": "FreeInit behavior fix vs model-variant detection fix are unrelated subsystems." }, { "left": "pull_request:8404", "right": "pull_request:8932", "accept": false, - "reason": "Both add new models/tests, but Latte video generation and Temporal Transformer coverage are unrelated changes." + "reason": "Latte video generation implementation and temporal transformer tests are not the same code-path problem." }, { "left": "pull_request:8522", "right": "pull_request:8932", "accept": false, - "reason": "Transformer-related only at a broad level; transformers pinning and Temporal Transformer tests are unrelated." + "reason": "A dependency version pin and a transformer test suite addition are unrelated." }, { "left": "pull_request:9257", "right": "pull_request:9896", "accept": false, - "reason": "Flux dreambooth prompt/tokenization bugfix vs reverting a Flux device/typecasting change; different underlying issues." + "reason": "Both involve Flux, but one fixes DreamBooth prompt encoding while the other reverts pipeline device-transfer behavior; different bugs." }, { "left": "pull_request:11602", "right": "pull_request:12301", "accept": false, - "reason": "Both add pipelines, but Sana Sprint img2img and Qwen-Image ControlNet inpaint are distinct features." + "reason": "Sana Sprint img2img and Qwen-Image ControlNet inpainting are different features." }, { "left": "pull_request:2334", "right": "pull_request:2397", - "accept": false, - "reason": "Same Pix2Pix Zero family, but the second is a follow-up inversion/scheduler fix; not the same concrete change." + "accept": true, + "reason": "These are tightly coupled Pix2Pix Zero changes: the original pipeline addition and the DDIM inversion support/docs for the same feature could plausibly have been one PR." }, { "left": "pull_request:11916", "right": "pull_request:12439", "accept": false, - "reason": "Both touch attention backends, but one is a Flux/Chroma refactor and the other adds kernels-based Sage/FA2 support; not mergeable as one PR." + "reason": "Shared attention-dispatch code, but one is a broad refactor and the other adds a specific attention backend; not the same concrete change." }, { "left": "pull_request:12534", "right": "pull_request:12919", "accept": false, - "reason": "Both mention NPU/Flux attention, but one changes pos-embedding handling in Flux inference while the other adds NPU attention backend support." + "reason": "Both are NPU-related Flux work, but one changes pos-embed handling and the other adds an NPU attention backend; distinct code paths." }, { "left": "pull_request:10148", "right": "pull_request:10850", "accept": false, - "reason": "OmniGen feature PR vs hooks utility refactor; no shared underlying bug or change." + "reason": "OmniGen feature addition and hook utility methods are unrelated." }, { "left": "pull_request:10230", "right": "pull_request:11269", "accept": false, - "reason": "Docs for LoRA loader mixins vs ONNX runtime package detection; unrelated." + "reason": "Docs for LoRA mixins and ONNX runtime availability changes do not describe the same change." }, { "left": "pull_request:10326", "right": "pull_request:8755", "accept": false, - "reason": "Workflow quoting fix vs SD3 DreamBooth LoRA training logic; unrelated." + "reason": "Workflow quoting fix vs SD3 DreamBooth text-encoder fix are unrelated." }, { "left": "pull_request:10539", "right": "pull_request:9257", "accept": false, - "reason": "Flux true-CFG condition fix vs Flux DreamBooth script changes; same ecosystem but different bugs." + "reason": "Flux true-CFG condition tweak and DreamBooth Flux prompt encoding fix are different bugs." }, { "left": "pull_request:10547", "right": "pull_request:9524", "accept": false, - "reason": "Test offload settings vs CogVideoX VAE conv-cache refactor; different code paths and goals." + "reason": "Offload test adjustments for transformers are unrelated to CogVideoX VAE cache removal." }, { "left": "pull_request:10966", "right": "pull_request:11479", "accept": false, - "reason": "CogView4 input validation bugfix vs Intel Gaudi doc rename; unrelated." + "reason": "CogView4 input validation and Intel Gaudi documentation rename are unrelated." }, { "left": "pull_request:11269", "right": "pull_request:9687", "accept": false, - "reason": "ONNX package availability detection vs Flux ControlNet support; no shared change." + "reason": "ONNX runtime package detection and Flux ControlNet support are unrelated changes." }, { "left": "pull_request:11449", "right": "pull_request:11495", "accept": false, - "reason": "Both add image interpolation options, but to different training scripts and different scopes." + "reason": "Similar training-script interpolation knobs, but they apply to different scripts and different training paths." }, { "left": "pull_request:12092", "right": "pull_request:12586", "accept": false, - "reason": "GGUF docs and conversion example vs a docs reordering PR; not the same change." + "reason": "GGUF docs expansion and a toctree sort are not the same underlying change." }, { "left": "pull_request:12092", "right": "pull_request:12911", "accept": false, - "reason": "GGUF docs/example additions vs discrete diffusion feature set; unrelated." + "reason": "GGUF docs and discrete diffusion feature work are unrelated." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted pair, PR #2334 and #2397, does look plausibly mergeable as one Pix2Pix Zero feature/change set. The rest of the soft-edge rejections are cautious and consistent with the diffs/titles provided, without overstating duplicate evidence." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 169, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -156981,10 +156894,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -157177,13 +157090,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 170, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -157268,10 +157181,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -157467,13 +157380,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 171, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -157557,10 +157470,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 173, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -158105,10 +158018,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -158298,13 +158211,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 174, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -158389,10 +158302,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -158582,13 +158495,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 175, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -158673,10 +158586,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -158866,13 +158779,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 176, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -158954,10 +158867,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -159135,13 +159048,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 177, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -159225,10 +159138,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -159412,13 +159325,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 178, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -159500,10 +159413,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -159681,13 +159594,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 179, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -159771,10 +159684,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -159958,13 +159871,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 180, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -160048,10 +159961,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -160241,13 +160154,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 181, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -160331,10 +160244,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -160524,13 +160437,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 182, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -160616,10 +160529,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -160815,13 +160728,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 183, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -160906,10 +160819,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -161099,13 +161012,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 184, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -161191,10 +161104,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -161390,13 +161303,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 185, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -161486,10 +161399,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -161709,13 +161622,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 186, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -161800,10 +161713,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -161993,13 +161906,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 187, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -162082,10 +161995,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -162266,13 +162179,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 188, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -162356,10 +162269,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -162549,13 +162462,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 189, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -162640,10 +162553,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -162833,13 +162746,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 190, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -162922,10 +162835,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -163109,7 +163022,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 191, "review_unit_count": 272, "status": "reviewed", @@ -163195,20 +163108,20 @@ "pull_request:11916|pull_request:11967", "pull_request:12549|pull_request:12919" ], - "prepared_review_unit_hash": "fb26083292251f3fae4ae7c1b6f63b0b5f6c344bdd8bad2c0abcc4ada93efd4d", + "prepared_review_unit_hash": "b480040318a62d47424105de6d849c29b6cf6cd27ac5a93751b1a39831443be5", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 98058, + "serialized_chars": 98059, "estimated_input_tokens": 24515, "estimated_eval_tokens": 49286 }, @@ -163217,162 +163130,162 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a false-positive bundle: the PRs span unrelated docs, examples, loaders, schedulers, workflows, and attention/NPU backend work. None of the soft edges look like the same underlying change; several are only vaguely related by subsystem or filename overlap.", - "confidence": 0.95, + "summary": "This cluster is highly heterogeneous: most PRs are unrelated docs, examples, loaders, CI, or different attention/NPU fixes. I found no true duplicate pair to merge; the only partial thematic overlap is in a small attention-backend subgroup, but the concrete changes still differ.", + "confidence": 0.84, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR really fits this cluster because the items are heterogeneous. If forced to pick the broadest representative, PR 11916 is the most substantial attention-dispatch refactor, but it is not a duplicate of the others.", + "canonical_pr_reason": "No issue artifacts are present. If a PR must be chosen, pull_request:11916 is the closest anchor because it is the broadest and most central attention-dispatch refactor among the only loosely related subset, but the cluster is not a real duplicate set.", "best_issue_reason": null, - "best_pr_reason": "PR 11916 is the strongest representative only in the sense that it is the largest, most central attention-dispatch change among the set. It still does not subsume the other PRs, so it is not a true duplicate canonical.", + "best_pr_reason": "pull_request:11916 has the widest scope and strongest centrality in the attention-backend subgroup, with multiple related files and the highest apparent cluster relevance; however, it still should not be treated as a duplicate of the others.", "soft_edge_verdicts": [ { "left": "pull_request:10894", "right": "pull_request:11975", "accept": false, - "reason": "Docs toctree sorting vs a Flux example style fix; unrelated changes." + "reason": "Docs toctree sorting vs. a Flux training style fix; unrelated changes." }, { "left": "pull_request:11243", "right": "pull_request:9807", "accept": false, - "reason": "Both mention LoRA, but one adds Musubi WAN conversion support and the other adds AutoencoderKL LoRA adapter support; different code paths and model types." + "reason": "Both touch LoRA support, but one adds musubi wan conversion and the other adds AutoencoderKL LoRA adapter support; different bugs/changes." }, { "left": "pull_request:1229", "right": "pull_request:1458", "accept": false, - "reason": "Dreambooth README installation text vs ONNXRuntime candidate detection; unrelated docs/config changes." + "reason": "Dreambooth README docs vs. ONNX runtime candidate detection; unrelated." }, { "left": "pull_request:12424", "right": "pull_request:13338", "accept": false, - "reason": "Docker image/workflow cleanup vs adding id-token permission to Claude review workflow; unrelated CI changes." + "reason": "Dockerfile/workflow cleanup vs. Claude workflow permissions; different files and problems." }, { "left": "pull_request:12960", "right": "pull_request:13364", "accept": false, - "reason": "FSDP detection in DreamBooth scripts vs a MotionConv2d dtype cast fix; different bugs and files." + "reason": "FSDP detection in DreamBooth scripts vs. WAN motion conv dtype casting; unrelated." }, { "left": "pull_request:1582", "right": "pull_request:676", "accept": false, - "reason": "RePaint scheduler math fix vs a ResNet variable rename; unrelated." + "reason": "RePaint scheduler bugfix vs. a resnet variable rename; not the same issue." }, { "left": "pull_request:1583", "right": "pull_request:676", "accept": false, - "reason": "Stable Diffusion inpaint legacy timestep logic vs a ResNet refactor; unrelated." + "reason": "Legacy inpaint masking logic vs. a resnet variable rename; unrelated." }, { "left": "pull_request:1913", "right": "pull_request:823", "accept": false, - "reason": "Both touch img2img-related code, but one fixes timestep slicing and the other fixes negative-prompt type validation; not the same bug." + "reason": "Both are img2img-related validation fixes, but one checks image input types and the other fixes negative-prompt type errors; different concrete bugs." }, { "left": "pull_request:1942", "right": "pull_request:2001", "accept": false, - "reason": "Script CLI flag/behavior fix vs a ColossalAI example typo/seed launch fix; unrelated." + "reason": "Script flag rename vs. ColossalAI example typo cleanup; unrelated." }, { "left": "pull_request:2655", "right": "pull_request:3294", "accept": false, - "reason": "Same loader area, but 2655 fixes LoRA save/load behavior while 3294 adds new lora_ prefix support; adjacent but not duplicate." + "reason": "Both concern LoRA loading, but one fixes save/load behavior while the other adds lora_ prefix support; related area, not the same underlying change." }, { "left": "pull_request:3034", "right": "pull_request:3446", "accept": false, - "reason": "Accelerate parameter-name fix in examples vs a pipeline warning-message wording fix; unrelated." + "reason": "Accelerate parameter-name fix vs. pipeline warning-message wording; unrelated." }, { "left": "pull_request:3128", "right": "pull_request:3673", "accept": false, - "reason": "Img2img timestep selection fix vs multi-GPU DreamBooth unwrap-model fix; different subsystems and failure modes." + "reason": "Img2img timestep selection fix vs. DreamBooth multi-GPU fix; different code paths." }, { "left": "pull_request:3590", "right": "pull_request:5807", "accept": false, - "reason": "Community pipeline support work vs enabling num_images_per_prompt in an LPW SDXL community pipeline; different changes." + "reason": "Community pipeline addition vs. LPW SDXL prompt-embedding enhancement; not duplicates." }, { "left": "pull_request:3681", "right": "pull_request:4690", "accept": false, - "reason": "Checkpoint limit handling in training examples vs DPM-Solver scheduler refactor; unrelated." + "reason": "Checkpoints-limit handling vs. DPM-Solver refactor; unrelated." }, { "left": "pull_request:4262", "right": "pull_request:4706", "accept": false, - "reason": "Both touch LoRA-related training/loading, but 4262 is an SDXL DreamBooth bundle and 4706 only defaults missing alphas to None; not the same change." + "reason": "SDXL DreamBooth multi-fix PR vs. a specific LoRA alpha fallback fix; same broad subsystem, but not the same concrete change." }, { "left": "pull_request:4744", "right": "pull_request:5393", "accept": false, - "reason": "AudioLDM docstring update vs general docs/tutorial HFApi migration; unrelated documentation edits." + "reason": "AudioLDM docstring update vs. HFApi tutorial/example migration; unrelated docs work." }, { "left": "pull_request:4793", "right": "pull_request:6994", "accept": false, - "reason": "AutoPipeline kwargs forwarding vs single-file loader torch_dtype propagation; different loader paths." + "reason": "AutoPipeline kwargs handling vs. from_single_file torch_dtype propagation; different loading bugs." }, { "left": "pull_request:5697", "right": "pull_request:7461", "accept": false, - "reason": "PEFT/xFormers attention bugfix vs adding str_to_bool to testing utils; unrelated." + "reason": "PEFT/xFormers attention bugfix vs. testing-utils boolean helper; unrelated." }, { "left": "pull_request:5898", "right": "pull_request:7714", "accept": false, - "reason": "Unconditional image generation docs rewrite vs AutoPipeline docs overhaul; both docs but different topics and targets." + "reason": "Unconditional image generation docs rewrite vs. AutoPipeline docs; different documentation tasks." }, { "left": "pull_request:7062", "right": "pull_request:7461", "accept": false, - "reason": "Imagic docstring cleanup vs testing utility helper addition; unrelated." + "reason": "Imagic docstring fix vs. testing-utils helper; unrelated." }, { "left": "pull_request:7410", "right": "pull_request:7720", "accept": false, - "reason": "FreeInit behavior refactor vs dead-code cleanup across examples/scripts/image processor; not the same underlying issue." + "reason": "FreeInit behavior fix vs. dead-code cleanup; different changes." }, { "left": "pull_request:9247", "right": "pull_request:9723", "accept": false, - "reason": "Variant-identification bugfix vs Matryoshka schedule_shifted_power fix; unrelated." + "reason": "Model-variant identification bug vs. Matryoshka schedule_shifted_power fix; unrelated." }, { "left": "pull_request:12534", "right": "pull_request:13490", "accept": false, - "reason": "Both are NPU-related, but one fixes Flux pos-embed inference on Ascend and the other changes NPU attention mask shapes; different code paths." + "reason": "Flux NPU pos-embed handling vs. NPU attention mask-shape support; both NPU-related but distinct code paths and fixes." }, { "left": "pull_request:11916", "right": "pull_request:11967", "accept": false, - "reason": "Same attention-dispatch area, but 11916 is a large Flux/Chroma refactor and 11967 changes backend warnings/runtime errors; related subsystem, not duplicate change." + "reason": "Broad Flux/Chroma attention-dispatch refactor vs. runtime warning/error handling change; overlapping files, but not the same concrete bug/change." }, { "left": "pull_request:12549", "right": "pull_request:12919", "accept": false, - "reason": "Both add attention backend support, but AITER backend integration and NPU ulysses support are distinct implementations and fixes." + "reason": "AITER backend addition vs. NPU Ulysses attention support; both attention-backend work, but different backend features and code paths." } ] }, @@ -163386,13 +163299,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 192, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -163475,10 +163388,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -163662,13 +163575,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 193, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -163750,10 +163663,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -163931,13 +163844,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 194, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -164023,10 +163936,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -164237,7 +164150,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 195, "review_unit_count": 272, "status": "reviewed", @@ -164279,7 +164192,6 @@ "pull_request:7353", "pull_request:7371", "pull_request:7473", - "pull_request:7679", "pull_request:7857", "pull_request:8298", "pull_request:8404", @@ -164304,7 +164216,6 @@ "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", @@ -164325,196 +164236,190 @@ "pull_request:11738|pull_request:11979", "pull_request:5470|pull_request:6789" ], - "prepared_review_unit_hash": "b2c51a55be512264a604d31f865ba326828442b186716151fc818e9b07b3b476", + "prepared_review_unit_hash": "6030437c966a21ef78691b45e08864372bcb49b4ebffebc539b390b458fa23ec", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 27, - "serialized_chars": 100418, - "estimated_input_tokens": 25105, - "estimated_eval_tokens": 50466 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98628, + "estimated_input_tokens": 24657, + "estimated_eval_tokens": 49570 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is a heterogeneous mix of unrelated docs, CI/workflow, tests, scheduler, loader, and pipeline PRs. None of the soft edges look like the same underlying bug or change, so all should be rejected.", - "confidence": 0.98, + "summary": "Mostly unrelated PRs grouped by shallow similarity. No duplicate-worthy canonical item emerged; the closest pair (SDXL clip-skip vs multi-batch prompt embeds) still targets different fixes.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR fits this cluster: the items span unrelated areas and fixes, so picking one would misrepresent the rest.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "If forced to name a representative PR, none is truly representative; the broadest is 9968, but it is still only one controlnet refactor among many unrelated changes.", + "best_pr_reason": "No single PR is a good global representative: the cluster mixes unrelated feature, docs, test, and workflow changes rather than one duplicated code-path fix.", "soft_edge_verdicts": [ { "left": "pull_request:5164", "right": "pull_request:7328", "accept": false, - "reason": "FreeU model changes vs. a PyPI workflow dependency tweak; clearly unrelated." + "reason": "FreeU core feature PR vs PyPI workflow dependency tweak; unrelated changes." }, { "left": "pull_request:5369", "right": "pull_request:5831", "accept": false, - "reason": "Both are docs-only, but one is minor usage docs and the other is a toctree title fix; different edits and no shared bug." + "reason": "Two small docs-only fixes in different topics; not the same underlying change." }, { "left": "pull_request:5420", "right": "pull_request:5741", "accept": false, - "reason": "Tutorial/docs follow-up vs. PEFT LoRA unload speedup; different codepaths and goals." + "reason": "Docs/tutorial typo fix vs PEFT unload performance refactor; unrelated." }, { "left": "pull_request:5526", "right": "pull_request:6179", "accept": false, - "reason": "Scheduler timestep fix vs. fused-attention feature expansion; same broad area, not the same bug." + "reason": "Scheduler edge-case fix vs fused attention projection feature; different code paths and problems." }, { "left": "pull_request:5602", "right": "pull_request:5982", "accept": false, - "reason": "Two separate docs additions for different models; no duplicate change." + "reason": "Docs formatting cleanup vs adding SDXL Turbo docs; not duplicates." }, { "left": "pull_request:5653", "right": "pull_request:7371", "accept": false, - "reason": "Helper unwrapping for maybe_raise_or_warn vs. DoRA LoRA loading support; PEFT-related but different problems." + "reason": "PEFT helper change vs DoRA LoRA support; distinct functionality." }, { "left": "pull_request:5698", "right": "pull_request:7473", "accept": false, - "reason": "LCM img2img fix vs. missing raise statements in input validation; unrelated bugs." - }, - { - "left": "pull_request:5741", - "right": "pull_request:7679", - "accept": false, - "reason": "LoRA unload optimization vs. CI install command change; unrelated." + "reason": "LCM img2img fix vs missing-raise bug in check_inputs; different issues." }, { "left": "pull_request:6305", "right": "pull_request:6997", "accept": false, - "reason": "DDPM zero-SNR rescaling vs. adding LoRA support to a spatio-temporal UNet; different subsystems." + "reason": "DDPM scheduler rescale feature vs LoRA support for a temporal UNet; unrelated." }, { "left": "pull_request:6308", "right": "pull_request:6369", "accept": false, - "reason": "Both LoRA test changes, but one fixes dummy components and the other removes deprecated backend APIs; not the same issue." + "reason": "Test dummy-component cleanup vs removing deprecated LoRA APIs; not the same bug or change." }, { "left": "pull_request:6498", "right": "pull_request:7857", "accept": false, - "reason": "Inpaint mask-blur docs vs. PixArtSigma docs; unrelated documentation work." + "reason": "Inpaint docs addition vs PixArtSigma docs/model addition; separate doc/model work." }, { "left": "pull_request:6564", "right": "pull_request:8404", "accept": false, - "reason": "IP-Adapter path handling fix vs. Latte model/pipeline addition; entirely different features." + "reason": "IP-Adapter path fix vs Latte model/pipeline introduction; unrelated." }, { "left": "pull_request:6998", "right": "pull_request:7260", "accept": false, - "reason": "Docs callout formatting vs. SAG pipeline IP-Adapter support; unrelated." + "reason": "Docs callout formatting vs SAG IP-Adapter support; different layers of the project." }, { "left": "pull_request:7247", "right": "pull_request:9247", "accept": false, - "reason": "Config-checking tests vs. model-variant identification utility fix; different codepaths." + "reason": "Single-file config test fix vs model variant identification bug; not the same issue." }, { "left": "pull_request:7353", "right": "pull_request:9426", "accept": false, - "reason": "ControlNet img2img mixin update vs. CI artifact uploader version bump; unrelated." + "reason": "ControlNet SDXL img2img mixin update vs artifact uploader workflow upgrade; unrelated." }, { "left": "pull_request:7857", "right": "pull_request:9242", "accept": false, - "reason": "Docs for PixArtSigma vs. XPU test infrastructure; different concerns." + "reason": "PixArtSigma docs/model PR vs XPU test backend support; different scope." }, { "left": "pull_request:7857", "right": "pull_request:9718", "accept": false, - "reason": "PixArtSigma docs vs. community-script prompt scheduling feature; unrelated." + "reason": "PixArtSigma docs/model PR vs prompt scheduling callback docs; unrelated." }, { "left": "pull_request:8298", "right": "pull_request:8452", "accept": false, - "reason": "CLI env output simplification vs. single-file loading strictness fix; different functionality." + "reason": "CLI env output simplification vs single-file loading strictness fix; different code paths." }, { "left": "pull_request:8496", "right": "pull_request:8964", "accept": false, - "reason": "SD3 warning-log guard vs. AudioLDM2 cache-position fix; different models and bugs." + "reason": "SD3 warning-log guard vs AudioLDM2 cache-position fix; unrelated." }, { "left": "pull_request:9060", "right": "pull_request:9256", "accept": false, - "reason": "Remove a debug print in Flux vs. Kandinsky2.2 image type-check bugfix; unrelated." + "reason": "Remove debug print vs Kandinsky image type-check bugfix; not duplicates." }, { "left": "pull_request:9242", "right": "pull_request:9649", "accept": false, - "reason": "Test backend XPU support vs. scheduler return-value change; unrelated." + "reason": "XPU test backend support vs scheduler return-value change; unrelated." }, { "left": "pull_request:9649", "right": "pull_request:9718", "accept": false, - "reason": "Scheduler API return tuple change vs. community-script prompt scheduling docs; unrelated." + "reason": "Scheduler API return change vs prompt scheduling callback docs; different concerns." }, { "left": "pull_request:9696", "right": "pull_request:9968", "accept": false, - "reason": "PR test workflow input parsing vs. controlnet module refactor; completely different areas." + "reason": "Workflow input validation changes vs ControlNet module refactor; not the same underlying change." }, { "left": "pull_request:5057", "right": "pull_request:5073", "accept": false, - "reason": "SDXL clip-skip support vs. multi-batch prompt-embed handling; both SDXL-related but distinct changes." + "reason": "Both touch SDXL pipelines, but one adds clip-skip and the other fixes multi-batch prompt handling; distinct bugs." }, { "left": "pull_request:10567", "right": "pull_request:11130", "accept": false, - "reason": "HunyuanVideo true-CFG feature vs. pipeline-level quantization config; unrelated features." + "reason": "HunyuanVideo true-CFG feature vs pipeline-level quantization config; unrelated." }, { "left": "pull_request:11738", "right": "pull_request:11979", "accept": false, - "reason": "Deterministic quantization tests vs. torch version gating for compile tests; different test hygiene fixes." + "reason": "bnb test determinism setup vs torch-version gating for compilation tests; different test maintenance tasks." }, { "left": "pull_request:5470", "right": "pull_request:6789", "accept": false, - "reason": "ControlNet inpaint pipeline/docs fixes vs. PixArt 256px inference support; unrelated PRs." + "reason": "ControlNet inpaint docs/code cleanup vs PixArt 256px inference fix; unrelated changes." } ] }, @@ -164528,7 +164433,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 196, "review_unit_count": 272, "status": "reviewed", @@ -164612,14 +164517,14 @@ "pull_request:12586|pull_request:13100", "pull_request:12714|pull_request:13364" ], - "prepared_review_unit_hash": "9771988d19de57b1db73804c17fc3f1ec902ae5d693b243c93e52068fc4406d6", + "prepared_review_unit_hash": "71dab42e651203b930f374489cfbf5a4c28a70e0b04b2411b311b14e48b15cfa", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -164634,156 +164539,156 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These PRs are mostly unrelated changes across docs, tests, dependency pins, modular pipelines, LoRA, and model additions. The soft matches are superficial filename/title similarity rather than the same bug or change, so none should be deduped.", + "summary": "The cluster is heterogeneous: it mixes unrelated docs, dependency, testing, LoRA, Flax, modular-pipeline, and model-feature PRs. The soft similarities are mostly broad subsystem overlap rather than duplicate fixes or mergeable changes.", "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR cleanly represents the cluster: the items span many separate features and fixes with only superficial overlap.", + "canonical_pr_reason": "No single canonical PR fits this cluster; the PRs do not describe the same underlying bug or change.", "best_issue_reason": null, - "best_pr_reason": "No global best PR for deduplication: choosing one would be arbitrary because the cluster does not share a common underlying change.", + "best_pr_reason": "No global best PR is suitable because the set is not a duplicate group and spans unrelated changes across many areas.", "soft_edge_verdicts": [ { "left": "pull_request:6447", "right": "pull_request:8616", "accept": false, - "reason": "Both are LoRA-related, but one adds Stable Diffusion XL K-Diffusion support and the other adds SD3 LoRA fusion; different code paths and changes." + "reason": "Different features: K-Diffusion SDXL pipeline vs SD3 LoRA fusion." }, { "left": "pull_request:6816", "right": "pull_request:7058", "accept": false, - "reason": "Both touch LoRA training/loading, but one fixes an SDXL DDP/PEFT training script and the other fixes copying passed LoRA state dicts; not the same change." + "reason": "Both LoRA-related, but one fixes SDXL training with DDP/PEFT while the other copies state dicts in LoRA loading." }, { "left": "pull_request:12275", "right": "pull_request:12383", "accept": false, - "reason": "Both involve modular/docs updates, but one adds TorchAO config support and the other adds single-file support to Modular; unrelated functionality." + "reason": "Quantization config support vs modular single-file loading; unrelated changes." }, { "left": "pull_request:10351", "right": "pull_request:10630", "accept": false, - "reason": "Both are test-only fixes, but one adjusts LoRA NaN test input handling and the other updates a failing Flax scheduler slice; different subsystems." + "reason": "Separate test fixes for different areas: LoRA test utility vs Flax scheduler slice expectations." }, { "left": "pull_request:11290", "right": "pull_request:9709", "accept": false, - "reason": "Both modify dependency versions, but one unpins torch in a Dockerfile and the other caps torch in setup.py/CI; not the same concrete fix." + "reason": "Both touch torch versions, but one unpins Dockerfile installs and the other pins torch max version for CI." }, { "left": "pull_request:1327", "right": "pull_request:399", "accept": false, - "reason": "Shared pipeline loading utilities, but one improves local custom pipeline loading and the other adds ONNX Stable Diffusion export/pipeline support; distinct changes." + "reason": "Local custom pipeline loading is unrelated to the ONNX exporter and pipeline work." }, { "left": "pull_request:1513", "right": "pull_request:3252", "accept": false, - "reason": "Both are docs, but one adds an Accelerate notebook config note and the other adds offloading-state notes; no same underlying bug/change." + "reason": "Different docs changes: Accelerate notebook config vs offload-stateful model notes." }, { "left": "pull_request:4744", "right": "pull_request:6929", "accept": false, - "reason": "Both are docstring/docs-style updates, but they cover AudioLDM return type text versus community pipeline loading documentation; unrelated." + "reason": "AudioLDM docstring cleanup is unrelated to community pipeline docs." }, { "left": "pull_request:6929", "right": "pull_request:8685", "accept": false, - "reason": "Both are docs additions, but one is about community pipelines and the other adds an SD3 float8 note; no shared fix." + "reason": "Community pipeline docs vs an SD3 float8 note are unrelated documentation updates." }, { "left": "pull_request:7213", "right": "pull_request:7990", "accept": false, - "reason": "Both edit docs/toctree, but one is a Merge LoRAs tutorial/docs update and the other is Scheduler features; different topics." + "reason": "Different docs topics: merging LoRAs vs scheduler features." }, { "left": "pull_request:11582", "right": "pull_request:11997", "accept": false, - "reason": "Both concern Wan, but one adds Wan VACE and the other refactors Wan modular pipelines for I2V/FLF2V; separate feature work." + "reason": "Both Wan-adjacent, but one adds Wan VACE and the other is a modular refactor for I2V/FLF2V." }, { "left": "pull_request:9159", "right": "pull_request:9988", "accept": false, - "reason": "Both touch Flux transformer/pipelines, but one enables sharding the Flux transformer and the other is Flux Redux converter/pipeline work; not the same bug or change." + "reason": "Flux sharding/sharding inference and Flux Redux are different code-path changes." }, { "left": "pull_request:13063", "right": "pull_request:13216", "accept": false, - "reason": "Both are modular pipeline expansions, but one refactors Wan by task and the other adds Helios modular pipelines; different model families and code paths." + "reason": "Different modular pipeline families: Wan refactor vs Helios addition." }, { "left": "pull_request:10985", "right": "pull_request:9862", "accept": false, - "reason": "Both are LoRA loader changes, but one extends ComfyUI/Flux LoRA conversions and the other adds save_lora_adapter support; not the same underlying behavior." + "reason": "LoRA infrastructure changes, but one expands Flux/ComfyUI conversion support and the other adds adapter saving." }, { "left": "pull_request:10148", "right": "pull_request:8777", "accept": false, - "reason": "One adds OmniGen pipeline/model support; the other adds dummy LoRA attention processors for compatibility. They are unrelated changes." + "reason": "OmniGen feature addition vs dummy attention-processor stubs; not the same change." }, { "left": "pull_request:10360", "right": "pull_request:10622", "accept": false, - "reason": "Both are release/docs workflow tweaks, but one fixes TestPyPI install URLs and the other rewrites installation docs for uv; unrelated." + "reason": "Release workflow Test PyPI URL fix vs general uv installation docs; unrelated." }, { "left": "pull_request:1038", "right": "pull_request:630", "accept": false, - "reason": "One fixes dtype usage in a Flax training example; the other cleans up Flax from_pretrained mismatch handling. Different code and intent." + "reason": "Flax dtype fix in training is unrelated to Flax from_pretrained mismatched-key cleanup." }, { "left": "pull_request:10838", "right": "pull_request:9875", "accept": false, - "reason": "Both add new model families, but FlashVideo and Meissonic are separate feature integrations with different architectures and files." + "reason": "FlashVideo pipeline addition and Meissonic support are different model/pipeline features." }, { "left": "pull_request:11254", "right": "pull_request:9838", "accept": false, - "reason": "Both are Flux-related training/runtime changes, but one fixes ConsisID imports and the other adjusts advanced Flux LoRA training memory/logic; not the same change." + "reason": "ConsisID import fixes are unrelated to Flux LoRA training memory/bug fixes." }, { "left": "pull_request:11894", "right": "pull_request:12911", "accept": false, - "reason": "One pins k-diffusion for CI; the other adds discrete diffusion support. They share no underlying bug or feature." + "reason": "Dependency pinning for CI is unrelated to discrete diffusion feature work." }, { "left": "pull_request:12005", "right": "pull_request:12438", "accept": false, - "reason": "Both touch loading behavior, but one respects local_files_only for sharded checkpoints and the other handles offload_state_dict for transformers models; separate issues." + "reason": "Sharded-checkpoint local-files handling and transformers offload_state_dict handling are different loader bugs." }, { "left": "pull_request:12425", "right": "pull_request:12960", "accept": false, - "reason": "One guards torch.distributed imports; the other fixes is_fsdp detection in Flux2 training scripts. Different failure modes and code paths." + "reason": "Torch.distributed import guarding is unrelated to determining FSDP state in Flux2 training scripts." }, { "left": "pull_request:12586", "right": "pull_request:13100", "accept": false, - "reason": "One only reorders docs in the toctree; the other updates ModularPipeline docs and implementation details. Not the same change." + "reason": "Doc tree sorting is unrelated to ModularPipeline documentation/content updates." }, { "left": "pull_request:12714", "right": "pull_request:13364", "accept": false, - "reason": "Both are LoRA/Flux/Wan-adjacent tests or model fixes, but one fixes a Flux2 LoRA NaN test and the other changes a MotionConv2d blur-kernel cast. Different concrete bugs." + "reason": "LoRA NaN test adjustments and MotionConv2d dtype casting fix different issues in different files." } ] }, @@ -164797,13 +164702,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 197, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -164887,10 +164792,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -165080,13 +164985,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 198, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -165171,10 +165076,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -165364,13 +165269,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 199, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -165453,10 +165358,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -165634,13 +165539,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 200, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -165724,10 +165629,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -165917,13 +165822,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 201, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -166005,10 +165910,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -166180,13 +166085,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 202, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -166268,10 +166173,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -166449,13 +166354,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 203, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -166538,10 +166443,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -166725,7 +166630,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 204, "review_unit_count": 272, "status": "reviewed", @@ -166758,6 +166663,7 @@ "pull_request:4034", "pull_request:4044", "pull_request:4177", + "pull_request:4188", "pull_request:4214", "pull_request:4595", "pull_request:5030", @@ -166767,6 +166673,7 @@ "pull_request:5424", "pull_request:5665", "pull_request:5702", + "pull_request:5741", "pull_request:5747", "pull_request:5754", "pull_request:5788", @@ -166774,14 +166681,11 @@ "pull_request:6195", "pull_request:6231", "pull_request:6332", - "pull_request:6432", "pull_request:6448", "pull_request:6450", "pull_request:6511", "pull_request:6772", - "pull_request:7638", "pull_request:788", - "pull_request:8303", "pull_request:8404" ], "soft_pairs": [ @@ -166800,6 +166704,7 @@ "pull_request:4034|pull_request:6450", "pull_request:4044|pull_request:5702", "pull_request:4177|pull_request:6511", + "pull_request:4188|pull_request:5741", "pull_request:4214|pull_request:5754", "pull_request:4595|pull_request:6195", "pull_request:5030|pull_request:5424", @@ -166808,194 +166713,186 @@ "pull_request:5665|pull_request:6772", "pull_request:5788|pull_request:6231", "pull_request:6081|pull_request:6332", - "pull_request:6332|pull_request:8404", - "pull_request:6432|pull_request:7638", - "pull_request:6432|pull_request:8303" + "pull_request:6332|pull_request:8404" ], - "prepared_review_unit_hash": "9548776579de8afc2004898b356d8aa1f84bd1136975f01a3ecf49b45e5555de", + "prepared_review_unit_hash": "aa38f4d9d1455cf99483ac72a747b8ae1e17cd7b60687ee1da53e5899fa96d79", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 48, - "item_count": 48, - "soft_pair_count": 26, - "serialized_chars": 93455, - "estimated_input_tokens": 23364, - "estimated_eval_tokens": 46984 + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 92424, + "estimated_input_tokens": 23106, + "estimated_eval_tokens": 46468 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "All candidate pairs are false positives: they cover different fixes, docs, tests, or entirely different pipelines/schedulers. No soft-edge pair looks like the same underlying change.", - "confidence": 0.97, + "summary": "This cluster is an accidental similarity group of mostly unrelated merged PRs spanning docs, tests, schedulers, pipelines, and training scripts. There is no single underlying bug or change shared across the items, so no canonical duplicate should be selected.", + "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 8404 is the best representative because it is the largest, most feature-complete change with broad code/docs/test coverage and the highest review activity in this set.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "PR 8404 is the strongest global representative: it introduces a substantial new video-generation pipeline, touches many core areas, and has extensive review and test coverage.", + "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "pull_request:13042", "right": "pull_request:13150", "accept": false, - "reason": "Different changes: QwenImage prompt isolation fix vs test harness recompile_limit plumbing; unrelated code paths." + "reason": "Different fixes in different areas: QwenImage prompt-mask isolation versus test helper recompile_limit plumbing. Not the same bug or mergeable into one PR." }, { "left": "pull_request:1338", "right": "pull_request:788", "accept": false, - "reason": "Unrelated fixes in different pipelines: ONNX inpaint cast order vs PIL sampler warning fixes in img2img/inpaint/textual inversion." + "reason": "Both are inpainting-related, but one fixes ONNX cast order and the other fixes PIL resampling warnings in img2img/inpaint code. Different code paths and problems." }, { "left": "pull_request:1494", "right": "pull_request:2341", "accept": false, - "reason": "Different features: safetensors save support vs EMAModel saving test adjustments; not the same bug or change." + "reason": "One adds safetensors saving support; the other changes DreamBooth checkpointing/EMA test behavior. Not the same underlying change." }, { "left": "pull_request:1525", "right": "pull_request:26", "accept": false, - "reason": "Both are scheduler/pipeline-related but fix different issues in different models: upscale batch sizing vs DDPM alpha cumprod bug." + "reason": "Upscaling batch-size handling versus DDPM alpha cumulative product fix. Completely different components and failure modes." }, { "left": "pull_request:1706", "right": "pull_request:538", "accept": false, - "reason": "Docs update vs dependency version bump; no shared underlying fix." + "reason": "Docs overhaul versus dependency version bump. No shared bug or code-path change." }, { "left": "pull_request:1945", "right": "pull_request:3614", "accept": false, - "reason": "Different scope: new 2D UNet block tests vs a small test tweak in a community pipeline/test file." + "reason": "New UNet block tests versus a test tweak around determinism. Not the same issue." }, { "left": "pull_request:1956", "right": "pull_request:3334", "accept": false, - "reason": "Typo fix in a community example vs generic docstring cleanup in core pipeline utilities." + "reason": "A typo fix in a community example versus a generic docstring cleanup. Different scopes and artifacts." }, { "left": "pull_request:2584", "right": "pull_request:3586", "accept": false, - "reason": "Different additions: a controlnet img2img community pipeline vs a StableDiffusionTilingPipeline community example." + "reason": "Community ControlNet img2img pipeline addition versus a separate community tiling pipeline example. Distinct features, not duplicates." }, { "left": "pull_request:2595", "right": "pull_request:3675", "accept": false, - "reason": "Scheduler config normalization changes vs a one-off test fix for UniDiffuser; not the same concrete issue." + "reason": "Scheduler switching/config normalization versus a one-off V100 test fix. No common bug." }, { "left": "pull_request:3471", "right": "pull_request:5299", "accept": false, - "reason": "Dreambooth README note vs model typehints/docs; unrelated documentation changes." + "reason": "DreamBooth docs note versus model typehint/doc improvements. Different file areas and objectives." }, { "left": "pull_request:3476", "right": "pull_request:3716", "accept": false, - "reason": "Different work: adding use_karras_sigmas to a scheduler vs introducing ParaDiGMS pipeline and parallel samplers." + "reason": "DPMSolver singlestep scheduler option addition versus ParaDiGMS pipeline/scheduler introduction. Not the same concrete change." }, { "left": "pull_request:3589", "right": "pull_request:5747", "accept": false, - "reason": "README/reference-tricks docs update vs dataset data_dir parameter plumbing in training scripts." + "reason": "README/reference-control docs versus dataset `data_dir` plumbing in training scripts. Separate concerns." }, { "left": "pull_request:4034", "right": "pull_request:6450", "accept": false, - "reason": "LoRA unloading feature implementation vs LoRA test/deprecation cleanup; different code paths and goals." + "reason": "LoRA unload utility implementation versus LoRA deprecation test refactors. Related domain, but not the same bug or change." }, { "left": "pull_request:4044", "right": "pull_request:5702", "accept": false, - "reason": "AudioLDM docstring typo fix vs AnimateDiff prompt bug and tests; not the same underlying issue." + "reason": "AudioLDM docstring typo fix versus AnimateDiff prompt handling bug fix. Different pipelines and code paths." }, { "left": "pull_request:4177", "right": "pull_request:6511", "accept": false, - "reason": "Dependency requirement update vs torch.compile checkpointing support in DreamBooth LoRA training." + "reason": "Make safetensors required dependency versus torch.compile-compatible checkpointing. Unrelated changes." + }, + { + "left": "pull_request:4188", + "right": "pull_request:5741", + "accept": false, + "reason": "SDXL ControlNet dataset fingerprint/cache fix versus LoRA unload speedup. Different problems and files." }, { "left": "pull_request:4214", "right": "pull_request:5754", "accept": false, - "reason": "Custom Diffusion bf16 error fix vs styling-only formatting cleanup in text_to_image examples." + "reason": "Custom Diffusion bf16/runtime fix versus formatting-only style cleanup. Not the same underlying bug." }, { "left": "pull_request:4595", "right": "pull_request:6195", "accept": false, - "reason": "WIP XL conversion work vs AnimateDiff SDXL model/pipeline implementation; distinct changes." + "reason": "An abandoned WIP pipeline conversion versus AnimateDiff SDXL work. No shared implemented change." }, { "left": "pull_request:5030", "right": "pull_request:5424", "accept": false, - "reason": "Same utility area but different bugs: offload key handling in pipeline_utils vs test-matrix pipeline discovery logic." + "reason": "Model offload missing-key bug fix versus slow-test pipeline fetcher filtering. Distinct utilities and failure modes." }, { "left": "pull_request:5157", "right": "pull_request:6448", "accept": false, - "reason": "Different LoRA issues: Kohya/controlnet naming conversion vs LoRA test backend assertions." + "reason": "ControlNet/Kohya LoRA name conversion fix versus LoRA test assertions update. One is production code, the other test maintenance." }, { "left": "pull_request:5157", "right": "pull_request:6772", "accept": false, - "reason": "Different scope: LoRA name-conversion fix vs a large ControlNet-XS implementation PR." + "reason": "ControlNet/Kohya LoRA conversion fix versus large ControlNet-XS feature implementation. Different code paths and scope." }, { "left": "pull_request:5665", "right": "pull_request:6772", "accept": false, - "reason": "ControlNet img2img preprocess argument fix vs ControlNet-XS feature work; unrelated concrete changes." + "reason": "ControlNet img2img preprocess sizing fix versus ControlNet-XS implementation. Not the same bug or change." }, { "left": "pull_request:5788", "right": "pull_request:6231", "accept": false, - "reason": "LCM error-message guard vs SDXL LoRA fp16 gradient/precision fix; different bugs." + "reason": "LCM scheduler error-message guard versus SDXL LoRA fp16 training fix. Separate issues in different modules." }, { "left": "pull_request:6081", "right": "pull_request:6332", "accept": false, - "reason": "Failed/partial scheduler edit for sigmas vs a full community pipeline for rerender-a-video; not the same change." + "reason": "Unmerged Euler-sigmas pipeline edit versus Rerender-A-Video community pipeline. Different pipelines and objectives." }, { "left": "pull_request:6332", "right": "pull_request:8404", "accept": false, - "reason": "Both are video/community-related, but one is rerender-a-video and the other is Latte video generation; different pipelines and code paths." - }, - { - "left": "pull_request:6432", - "right": "pull_request:7638", - "accept": false, - "reason": "README learning-rate example change vs CONTRIBUTING link fix; unrelated documentation edits." - }, - { - "left": "pull_request:6432", - "right": "pull_request:8303", - "accept": false, - "reason": "Different docs fixes: DreamBooth README LR example vs a philosophy wording tweak." + "reason": "Community video-to-video pipeline addition versus Latte video-generation model/pipeline. Both are video-related, but different implementations and problems." } ] }, @@ -167009,7 +166906,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 205, "review_unit_count": 272, "status": "reviewed", @@ -167031,8 +166928,6 @@ "pull_request:11292", "pull_request:1136", "pull_request:11613", - "pull_request:11823", - "pull_request:12275", "pull_request:12315", "pull_request:12530", "pull_request:12933", @@ -167043,6 +166938,7 @@ "pull_request:5653", "pull_request:5713", "pull_request:5823", + "pull_request:6432", "pull_request:6490", "pull_request:6511", "pull_request:6884", @@ -167055,6 +166951,7 @@ "pull_request:7638", "pull_request:7652", "pull_request:819", + "pull_request:8303", "pull_request:8512", "pull_request:8566", "pull_request:8722", @@ -167068,6 +166965,8 @@ "pull_request:9987" ], "soft_pairs": [ + "pull_request:6432|pull_request:7638", + "pull_request:6432|pull_request:8303", "pull_request:6511|pull_request:7652", "pull_request:689|pull_request:819", "pull_request:7115|pull_request:8512", @@ -167091,175 +166990,192 @@ "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:11613|pull_request:12530" ], - "prepared_review_unit_hash": "c40fcda5bf64e54555ee1980205089e38942cc1551f5282519c514d9239358b5", + "prepared_review_unit_hash": "87d2b30aa2efd6bfe61d1c42c61b15291107dbda67aff894476734cbdd36bb6c", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, - "soft_pair_count": 25, - "serialized_chars": 106087, - "estimated_input_tokens": 26522, - "estimated_eval_tokens": 53300 + "soft_pair_count": 26, + "serialized_chars": 105369, + "estimated_input_tokens": 26343, + "estimated_eval_tokens": 52942 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: most PRs are unrelated feature, docs, CI, or test-only changes across LoRA, IP-Adapter, Flux, ControlNet, TorchAO, and assorted examples. The apparent overlaps are mostly broad subsystem similarity or shared filenames, not the same underlying bug or change.", - "confidence": 0.96, + "summary": "This cluster is a loose soft-similarity grouping of many unrelated pull requests across docs, tests, CI, LoRA/IP-Adapter, Flux, SD3, and LTX2. None of the candidate 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": "No single canonical PR fits the cluster: the items do not converge on one concrete fix/change, so treating any one PR as canonical would be misleading.", + "canonical_pr_reason": "No single canonical PR fits this cluster: the items span unrelated fixes/features with only superficial subsystem or keyword overlap.", "best_issue_reason": null, - "best_pr_reason": "PR 12934 is the strongest standalone representative: it is a substantial, well-scoped feature with an explicit issue target and broad internal coherence. It is representative of the set only in a loose sense, not as a duplicate of the others.", + "best_pr_reason": "No best PR for deduplication purposes; the cluster is too heterogeneous, so any PR would be a misleading representative.", "soft_edge_verdicts": [ + { + "left": "pull_request:6432", + "right": "pull_request:7638", + "accept": false, + "reason": "Different docs-only edits: one changes an SDXL training README LR example, the other fixes a contributing link." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8303", + "accept": false, + "reason": "Unrelated documentation changes in different files and topics; no shared underlying issue." + }, { "left": "pull_request:6511", "right": "pull_request:7652", "accept": false, - "reason": "Torch.compile checkpointing compatibility vs Docker buildx workflow setup; unrelated changes." + "reason": "Different problems: torch.compile checkpointing compatibility vs docker buildx workflow setup." }, { "left": "pull_request:689", "right": "pull_request:819", "accept": false, - "reason": "Attention kernel implementation tweak vs DDIM timestep int64 fix; different bugs and code paths." + "reason": "Completely different code paths: attention test speed vs DDIM timestep dtype on Windows." }, { "left": "pull_request:7115", "right": "pull_request:8512", "accept": false, - "reason": "JAX TPU Dockerfile dependency install change vs removing a deprecated inpaint helper; unrelated." + "reason": "Unrelated refactors: Dockerfile dependency change vs removal of a deprecated inpaint helper." }, { "left": "pull_request:7200", "right": "pull_request:8722", "accept": false, - "reason": "Transformer2D validation error handling vs embeddings refactor; not the same underlying change." + "reason": "Both touch model internals, but one is an input validation fix and the other is a broad embeddings refactor." }, { "left": "pull_request:7458", "right": "pull_request:7638", "accept": false, - "reason": "Skip tests on Python 3.12 vs a CONTRIBUTING link correction; unrelated." + "reason": "Different test-skipping logic vs a CONTRIBUTING.md link fix; no common bug or change." }, { "left": "pull_request:8566", "right": "pull_request:9987", "accept": false, - "reason": "SD3 ControlNet support vs SD3.5 IP-Adapter integration; same general area, but distinct features." + "reason": "Both involve SD3, but one adds ControlNet support while the other integrates SD3.5 IP-Adapter; distinct features." }, { "left": "pull_request:9400", "right": "pull_request:9896", "accept": false, - "reason": "Device-agnostic single-file test updates vs reverting Flux device-transfer changes; different scopes and code paths." + "reason": "One makes single-file tests device-agnostic; the other reverts Flux device/typecasting changes. Not the same fix." }, { "left": "pull_request:4944", "right": "pull_request:5653", "accept": false, - "reason": "Initial IP-Adapter support vs PEFT-aware model unwrapping in pipeline utilities; related ecosystem, not the same fix." + "reason": "IP-Adapter feature work vs a PEFT-related model unwrapping helper; different concrete code-paths." }, { "left": "pull_request:6884", "right": "pull_request:7016", "accept": false, - "reason": "IP-Adapter scale-length validation vs IP-Adapter image-embed refactor; same file, but different concrete behavior changes." + "reason": "Same subsystem, but one fixes `set_ip_adapter_scale` length handling and the other refactors image-embed preparation/loading behavior." }, { "left": "pull_request:12933", "right": "pull_request:12934", "accept": false, - "reason": "LTX-2 LoRA support vs LTX-2 distilled checkpoint support; overlapping files but different feature work." + "reason": "Both are LTX2-related, but one adds LoRA support and the other adds distilled checkpoint support; separate changes." }, { "left": "pull_request:5388", "right": "pull_request:5823", "accept": false, - "reason": "PEFT example migration vs adding adapter_names to fuse_lora; both LoRA-related but not the same change." + "reason": "Example-script PEFT migration vs adding `adapter_names` to `fuse_lora`; not the same bug or change." }, { "left": "pull_request:6490", "right": "pull_request:7359", "accept": false, - "reason": "Community RAVE video editing example vs ResAdapter training script; unrelated example additions." + "reason": "Different community features entirely: RAVE video editing vs ResAdapter training script." }, { "left": "pull_request:5713", "right": "pull_request:7016", "accept": false, - "reason": "Original IP-Adapter support across pipelines vs later image-embed/refactor work; not the same concrete bug or change." + "reason": "Both IP-Adapter-related, but the first is the original feature integration and the second is a later refactor around embeds/image encoder loading." }, { "left": "pull_request:10126", "right": "pull_request:9827", "accept": false, - "reason": "Deprecating save_attn_procs vs fixing LoRA device_map/offload behavior; different LoRA paths." + "reason": "LoRA deprecation/warning behavior vs device-map offloading fix; unrelated behavior." }, { "left": "pull_request:10127", "right": "pull_request:8932", "accept": false, - "reason": "Xfail for incompatible SD configs vs adding temporal transformer test coverage; unrelated test changes." + "reason": "One xfails an incompatible single-file SD test; the other adds a transformer test suite. No shared underlying defect." }, { "left": "pull_request:10127", "right": "pull_request:8973", "accept": false, - "reason": "Xfail for incompatible SD configs vs reducing lumina test model size; unrelated test maintenance." + "reason": "One is an xfail for SD configs; the other reduces a Lumina test model size. Different test maintenance tasks." }, { "left": "pull_request:10230", "right": "pull_request:10719", "accept": false, - "reason": "Docs for LoRA loader mixins vs provider_options plumbing in from_pretrained; documentation vs runtime loading change." + "reason": "Docs-only LoRA loader mixin additions vs provider_options plumbing in from_pretrained; unrelated changes." }, { "left": "pull_request:10342", "right": "pull_request:10966", "accept": false, - "reason": "get_parameter_dtype behavior update vs CogView4 input-shape validation; unrelated." + "reason": "`get_parameter_dtype` behavior update vs CogView4 input-shape validation; different code paths and problems." }, { "left": "pull_request:10506", "right": "pull_request:11124", "accept": false, - "reason": "TorchAO sequential CPU offload test vs CogView4 tokenizer test update; unrelated tests." + "reason": "TorchAO sequential CPU offload test vs CogView4 tokenizer/test fix; unrelated." + }, + { + "left": "pull_request:10539", + "right": "pull_request:9244", + "accept": false, + "reason": "Flux CFG condition change vs adding single-file support for Flux; distinct functionality." + }, + { + "left": "pull_request:10719", + "right": "pull_request:9687", + "accept": false, + "reason": "`from_pretrained` provider_options plumbing vs Flux ControlNet support; no overlap in underlying issue." }, { "left": "pull_request:11292", "right": "pull_request:12315", "accept": false, - "reason": "LoRA conversion support for SDXL variants vs pruning scheduler classes in LoRA tests; implementation vs test cleanup." + "reason": "SDXL LoRA conversion support vs pruning scheduler variants in LoRA tests; different goals." }, { "left": "pull_request:1136", "right": "pull_request:2002", "accept": false, - "reason": "Example README link fix vs adding LoRA fine-tuning support; unrelated changes." + "reason": "A 404-link fix in examples README vs the original LoRA fine-tuning feature PR; unrelated." }, { "left": "pull_request:11613", "right": "pull_request:12530", "accept": false, - "reason": "Reverting torch.compile CI/test changes vs xfail-ing a Stable Cascade test; different CI/test concerns." - }, - { - "left": "pull_request:11823", - "right": "pull_request:12275", - "accept": false, - "reason": "Flux Kontext LoRA support vs TorchAO aobaseconfig support; different feature areas." + "reason": "Reverting torch.compile CI changes vs xfail-ing a specific Stable Cascade test; separate test/CI maintenance." } ] }, @@ -167273,7 +167189,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 206, "review_unit_count": 272, "status": "reviewed", @@ -167283,8 +167199,10 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ + "pull_request:11823", "pull_request:11877", "pull_request:11892", + "pull_request:12275", "pull_request:1229", "pull_request:12782", "pull_request:1309", @@ -167320,18 +167238,17 @@ "pull_request:3691", "pull_request:3806", "pull_request:3850", - "pull_request:3852", "pull_request:4276", "pull_request:4499", "pull_request:4500", "pull_request:4572", "pull_request:5056", "pull_request:5526", - "pull_request:5898", "pull_request:689", "pull_request:826" ], "soft_pairs": [ + "pull_request:11823|pull_request:12275", "pull_request:11877|pull_request:11892", "pull_request:1229|pull_request:1309", "pull_request:12782|pull_request:13364", @@ -167359,217 +167276,204 @@ "pull_request:326|pull_request:826", "pull_request:3321|pull_request:3339", "pull_request:3675|pull_request:5526", - "pull_request:3806|pull_request:5056", - "pull_request:3852|pull_request:5898" + "pull_request:3806|pull_request:5056" ], - "prepared_review_unit_hash": "f707075fcdf0e9bd1c81ac2f79c6f2cdb1caae2adbcfb9d4ed469b50cd95619c", + "prepared_review_unit_hash": "741a740ec3f9ad232b12b1346791574d20848ca18fa19ed30a5b1e22dbab1a6e", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 29, - "serialized_chars": 95177, - "estimated_input_tokens": 23795, - "estimated_eval_tokens": 47846 + "serialized_chars": 95986, + "estimated_input_tokens": 23997, + "estimated_eval_tokens": 48250 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly heterogeneous and noisy: unrelated docs, tests, workflows, and small code fixes were grouped together by weak similarity. The only clear duplicate-looking pair is the two nearly identical SDXL reference PRs, 4499 and 4500.", - "confidence": 0.92, + "summary": "These PRs are a mixed bag of unrelated docs, dependency, test, and model/code-path changes. They do not form a single duplicate cluster, so there is no clear canonical PR to collapse onto. All soft edges are rejected.", + "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 4499 is the best anchor because it is the earlier of the only near-identical PR pair in the set (4499/4500) and has the same self-contained feature diff.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "PR 4499 is the strongest representative of the cluster because it is the only item with a true duplicate counterpart and its patch is self-contained; the rest of the items are unrelated to each other.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "pull_request:11823", + "right": "pull_request:12275", + "accept": false, + "reason": "Different changes: Fal Kontext LoRA conversion support vs TorchAO config-class support. Separate subsystems and code paths." + }, { "left": "pull_request:11877", "right": "pull_request:11892", "accept": false, - "reason": "Different changes: deprecating a pipeline vs removing an unused dependency; same repo area only at a very broad level." + "reason": "Deprecating a Blip ControlNet pipeline is unrelated to removing k-diffusion from packaging/dependency tables." }, { "left": "pull_request:1229", "right": "pull_request:1309", "accept": false, - "reason": "Dreambooth README install text is unrelated to PIL handling changes in docs/pipelines." + "reason": "Dreambooth README wording and PIL handling improvements are unrelated changes." }, { "left": "pull_request:12782", "right": "pull_request:13364", "accept": false, - "reason": "Unrelated fixes: offloading test tweak vs blur-kernel dtype casting in a transformer." + "reason": "A test offloading tweak for HunyuanVideo is unrelated to the MotionConv2d blur-kernel dtype fix in WAN Animate." }, { "left": "pull_request:1309", "right": "pull_request:1945", "accept": false, - "reason": "Docs/PIL handling has no concrete overlap with adding UNet block tests." + "reason": "PIL handling/docs changes do not match adding 2D UNet block tests." }, { "left": "pull_request:13120", "right": "pull_request:13332", "accept": false, - "reason": "Different targets and purposes: modular pipeline tests vs dependency/workflow tightening and a ConsisID utility fix." + "reason": "Both touch tests, but one adds robust loading tests while the other tightens dependency testing and workflow setup; not the same bug/change." }, { "left": "pull_request:13330", "right": "pull_request:13332", "accept": false, - "reason": "Torchao test fixes and dependency/workflow changes are distinct; they do not fix the same code-path problem." + "reason": "TorchAO test fixes and dependency-testing workflow changes address different failures and code paths." }, { "left": "pull_request:1508", "right": "pull_request:2122", "accept": false, - "reason": "Dreambooth prior-preservation docs and safetensors docs are unrelated documentation additions." + "reason": "Dreambooth class-image docs are unrelated to safetensors documentation." }, { "left": "pull_request:1508", "right": "pull_request:2793", "accept": false, - "reason": "Prior-preservation wording vs removing a cuDNN benchmark suggestion are different doc updates." + "reason": "Both are docs, but one is Dreambooth training guidance and the other removes a cuDNN benchmark suggestion; different content." }, { "left": "pull_request:1564", "right": "pull_request:1910", "accept": false, - "reason": "Default accelerate config docs are unrelated to the Korean docs workflow/reorg." + "reason": "Default accelerate config docs and Korean docs initialization are unrelated documentation changes." }, { "left": "pull_request:1706", "right": "pull_request:2795", "accept": false, - "reason": "Main docs refresh and a LoRA training script tweak do not address the same issue." + "reason": "Main docs update is unrelated to a LoRA training-script fix." }, { "left": "pull_request:2062", "right": "pull_request:3410", "accept": false, - "reason": "Paint-by-example CPU offload fix is unrelated to accelerate state retrieval in a training script." + "reason": "Paint-by-example CPU offload fix and accelerate-state retrieval fix affect different pipelines and problems." }, { "left": "pull_request:2274", "right": "pull_request:3850", "accept": false, - "reason": "Transform naming clash fix and audio diffusion test adjustments are different issues." + "reason": "Function naming clash in unconditional image generation is unrelated to audio diffusion test fixture adjustments." }, { "left": "pull_request:2274", "right": "pull_request:689", "accept": false, - "reason": "Different bugs: dataset transform naming clash vs attention implementation performance test fix." + "reason": "A naming clash fix is not the same as an attention implementation change for slow tests." }, { "left": "pull_request:2325", "right": "pull_request:4499", "accept": false, - "reason": "ONNX VAE converter work and SDXL reference support are unrelated feature additions." + "reason": "ONNX VAE conversion tooling is unrelated to SDXL reference-attn/reference-adain support." }, { "left": "pull_request:2325", "right": "pull_request:4500", "accept": false, - "reason": "Same as 2325/4499: unrelated feature areas and different code paths." + "reason": "ONNX conversion work does not overlap with the separate SDXL reference pipeline implementation." }, { "left": "pull_request:2347", "right": "pull_request:4276", "accept": false, - "reason": "Scheduler noise schedule changes and dependency import tests are unrelated." + "reason": "Scheduler noising-schedule changes are unrelated to adding a pipeline-import test." }, { "left": "pull_request:2467", "right": "pull_request:326", "accept": false, - "reason": "Latent output-type feature work and PNDM type-hint cleanup are not the same change." + "reason": "Latent output-type support across pipelines is not the same as the PNDM type-hint cleanup; different scope and intent." }, { "left": "pull_request:2481", "right": "pull_request:3850", "accept": false, - "reason": "Training-script test fix and audio diffusion test fix are separate problems." + "reason": "A training-script test fix and audio diffusion test changes are unrelated." }, { "left": "pull_request:2481", "right": "pull_request:689", "accept": false, - "reason": "No shared concrete bug: one is a training script test fix, the other an attention math change." + "reason": "Checkpoint logging/training behavior is unrelated to the attention slow-test fix." }, { "left": "pull_request:2641", "right": "pull_request:3397", "accept": false, - "reason": "Notebook build config and a LoRA docs note are unrelated." + "reason": "Jax notebook build changes and a docs note about local directory paths do not fix the same issue." }, { "left": "pull_request:2793", "right": "pull_request:3691", "accept": false, - "reason": "Docs removal of a cuDNN tip and a LoRA processor code-path fix are different changes." + "reason": "Removing cuDNN benchmark guidance is unrelated to selecting LoRAAttnProcessor2_0 for text-encoder LoRA." }, { "left": "pull_request:2994", "right": "pull_request:3657", "accept": false, - "reason": "ControlNet training cast fix and checkpoint-arg parsing tweaks do not target the same underlying bug." + "reason": "ControlNet training type-casting and checkpoint-parsing tweaks are both ControlNet-related but fix different concrete problems in different scripts." }, { "left": "pull_request:3034", "right": "pull_request:4572", "accept": false, - "reason": "Different accelerate parameter issues in different examples vs a network_alpha naming fix." + "reason": "Wrong accelerate parameter name and LoRA network_alpha pluralization are separate fixes in different examples." }, { "left": "pull_request:3080", "right": "pull_request:3675", "accept": false, - "reason": "Pipeline save logic and a UniDiffuser test correction are unrelated." - }, - { - "left": "pull_request:326", - "right": "pull_request:826", - "accept": false, - "reason": "Type-hint cleanup is unrelated to fp16 DreamBooth loss casting." + "reason": "Pipeline save-pretrained cleanup and a V100 test fix are unrelated." }, { "left": "pull_request:3321", "right": "pull_request:3339", "accept": false, - "reason": "Controlling-generation docs update and urllib3 pinning are not the same change." + "reason": "Controlling-generation docs update does not match pinning urllib3 in setup.py." }, { "left": "pull_request:3675", "right": "pull_request:5526", "accept": false, - "reason": "A V100 test fix and a scheduler behavior fix are different code paths." + "reason": "A test-only V100 workaround is unrelated to the scheduler-order fix for second-order pipelines." }, { "left": "pull_request:3806", "right": "pull_request:5056", "accept": false, - "reason": "Checkpoint-loading docs and LoRA-fusion docs are different documentation topics." - }, - { - "left": "pull_request:3852", - "right": "pull_request:5898", - "accept": false, - "reason": "Contributor note in paradigms docs and a spacing/documentation cleanup are unrelated." - }, - { - "left": "pull_request:4499", - "right": "pull_request:4500", - "accept": true, - "reason": "These are effectively the same SDXL Reference feature PR: identical title, same files, and the same patch preview." + "reason": "A checkpoint-loading note for text-to-image is not the same change as documenting multi-LoRA fusion." } ] }, @@ -167583,7 +167487,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 207, "review_unit_count": 272, "status": "reviewed", @@ -167598,13 +167502,12 @@ "pull_request:10552", "pull_request:10719", "pull_request:10747", - "pull_request:10911", "pull_request:10951", "pull_request:11823", - "pull_request:11975", "pull_request:13217", "pull_request:13229", "pull_request:3632", + "pull_request:3852", "pull_request:4099", "pull_request:4272", "pull_request:4301", @@ -167616,6 +167519,7 @@ "pull_request:5127", "pull_request:5672", "pull_request:5837", + "pull_request:5898", "pull_request:5974", "pull_request:6231", "pull_request:6330", @@ -167642,6 +167546,7 @@ "pull_request:9938" ], "soft_pairs": [ + "pull_request:3852|pull_request:5898", "pull_request:4099|pull_request:6231", "pull_request:4272|pull_request:4987", "pull_request:4301|pull_request:6432", @@ -167664,181 +167569,180 @@ "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:10719|pull_request:9244" ], - "prepared_review_unit_hash": "2b6f7305c5c14d727ea423527be8cdc511b9c5276c424c182f68e4f5eb000fff", + "prepared_review_unit_hash": "75128eab3755835972e1ac9c5717cf9cdb5dbc679e64612be80103c22583fa03", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 24, - "serialized_chars": 93916, - "estimated_input_tokens": 23479, - "estimated_eval_tokens": 47214 + "serialized_chars": 93361, + "estimated_input_tokens": 23341, + "estimated_eval_tokens": 46938 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose grab-bag of unrelated merged PRs across different models, docs, loaders, and examples. The suggested soft edges mostly match superficial similarity (same subsystem or similar wording) rather than the same underlying bug/change, so none should be merged as duplicates.", + "summary": "This cluster is a grab-bag of unrelated PRs across docs, examples, loaders, schedulers, and different model/pipeline families. None of the soft pairs look like the same underlying bug or change, so all should be rejected.", "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:3852", + "right": "pull_request:5898", + "accept": false, + "reason": "Both are docs-only, but they change different topics: a contributor note for Paradigms vs a rewrite of unconditional image generation docs." + }, { "left": "pull_request:4099", "right": "pull_request:6231", "accept": false, - "reason": "Both touch SDXL training/prompt-embed behavior, but one fixes prompt embedding handling and the other upcasts trainable LoRA params for fp16 stability; different bugs." + "reason": "Different bugs and code paths: SDXL prompt-embed handling vs fp16 LoRA training stability in a text-to-image example." }, { "left": "pull_request:4272", "right": "pull_request:4987", "accept": false, - "reason": "Both are import cleanup PRs, but one fixes missing optional imports across pipeline folders and the other removes a duplicate GLIGEN export; unrelated changes." + "reason": "Both touch imports, but one fixes missing optional imports across pipeline folders while the other removes a duplicate GLIGEN import; not the same change." }, { "left": "pull_request:4301", "right": "pull_request:6432", "accept": false, - "reason": "Both are documentation updates, but they cover different topics: Kandinsky docs vs an SDXL README learning-rate tweak." + "reason": "Both are documentation updates, but for unrelated models: Kandinsky docs vs an SDXL README learning-rate tweak." }, { "left": "pull_request:453", "right": "pull_request:816", "accept": false, - "reason": "One fixes an installation doc typo; the other changes loss casting for fine-tuning/deepspeed compatibility. No shared bug." + "reason": "Unrelated fixes: installation typo in docs vs deepspeed compatibility in a training script." }, { "left": "pull_request:4690", "right": "pull_request:4862", "accept": false, - "reason": "Both involve schedulers/pipelines, but one is a DPMSolver refactor and the other is a MultiControlNetModel height/width fix in SDXL img2img." + "reason": "A scheduler refactor draft is not the same as an SDXL ControlNet img2img MultiControlNet bug fix." }, { "left": "pull_request:5672", "right": "pull_request:5974", "accept": false, - "reason": "Both relate to PixArt, but one adds non-square image support and the other adapts retrieval timesteps for pixart-lcm; different code-paths." + "reason": "Same broad PixArt area, but different concrete changes: non-square image support vs adapting the pipeline for pixart-lcm." }, { "left": "pull_request:5837", "right": "pull_request:7096", "accept": false, - "reason": "One allows multiple textual inversion tokens; the other updates ControlNet training examples. Not the same change." + "reason": "Textual inversion multi-token support is unrelated to ControlNet training example/docs changes." }, { "left": "pull_request:6330", "right": "pull_request:6834", "accept": false, - "reason": "One is SVD docs rendering cleanup; the other is a callback documentation typo fix. Different documentation issues." + "reason": "Both are docs-ish fixes, but one addresses SVD video rendering while the other fixes callback property names." }, { "left": "pull_request:7309", "right": "pull_request:9060", "accept": false, - "reason": "The first constrains DPMSolver single-step order; the second just removes a debug print from Flux. No overlap in bug or fix." + "reason": "Different subsystems entirely: DPM-Solver order validation vs removing a debug print in Flux transformer code." }, { "left": "pull_request:7738", "right": "pull_request:8964", "accept": false, - "reason": "Different areas entirely: LoRA device placement vs AudioLDM2 generation cache positioning." + "reason": "LoRA device placement and AudioLDM2 cache-position handling are unrelated code paths." }, { "left": "pull_request:7790", "right": "pull_request:9447", "accept": false, - "reason": "One adapts a community SDXL pipeline; the other changes pipeline save_pretrained sharding defaults. Not duplicate work." + "reason": "One is SDXL community pipeline adaptation; the other changes pipeline save_pretrained shard-size defaults." }, { "left": "pull_request:7938", "right": "pull_request:9735", "accept": false, - "reason": "Docker Slack reporting workflow vs SD3 controlnet example updates; unrelated maintenance." + "reason": "A CI Slack reporting workflow change is unrelated to an SD3 ControlNet example update." }, { "left": "pull_request:8660", "right": "pull_request:9938", "accept": false, - "reason": "One adds a max_sequence_length guard in SD3 ControlNet; the other updates an SDXL reference community pipeline. Different model families and purposes." + "reason": "SD3 ControlNet input validation is unrelated to updating the SDXL reference community pipeline." }, { "left": "pull_request:9735", "right": "pull_request:9918", "accept": false, - "reason": "Both are examples/docs, but one updates SD3 ControlNet training/example content and the other adds a server example. No shared underlying bug." + "reason": "Both are example/docs updates, but they target different features: SD3 ControlNet training vs a server example." }, { "left": "pull_request:8875", "right": "pull_request:9175", "accept": false, - "reason": "Both are ControlNet-related, but one adds PAG inpaint support for Stable Diffusion and the other adds Flux union ControlNet support; different architectures and code paths." + "reason": "Both add ControlNet-related functionality, but for different models and code paths: SD inpaint PAG support vs Flux union ControlNet." }, { "left": "pull_request:10747", "right": "pull_request:10951", "accept": false, - "reason": "Both add new controlnet-style features, but one introduces MultiControlNetUnionModel for SDXL and the other adds a community tile upscaler pipeline. Not mergeable as one fix." + "reason": "ControlNet-related, but not the same change: SDXL MultiControlNetUnionModel vs a community tile upscaler pipeline." }, { "left": "pull_request:13217", "right": "pull_request:13229", "accept": false, - "reason": "One adds LTX-2.3 model support across many components; the other adds LTX VAE integration for Sana-video. Distinct feature sets." + "reason": "Both are LTX2/video-adjacent, but one adds LTX-2.3 model support broadly and the other adds an LTX VAE into Sana-video; different scopes and code paths." }, { "left": "pull_request:5127", "right": "pull_request:6946", "accept": false, - "reason": "Both involve adapter loading, but one adds multi-adapter support and the other adds low_cpu_mem_usage for IP-Adapter loading. Separate changes." + "reason": "Multi-adapter SDXL pipeline support and IP-Adapter low_cpu_mem_usage loading are distinct features." }, { "left": "pull_request:10552", "right": "pull_request:11823", "accept": false, - "reason": "One adds from_single_file support for StableDiffusionAdapterPipeline; the other adds Fal Kontext LoRA conversion/loading support. Different model tooling." + "reason": "From-single-file support for StableDiffusionAdapterPipeline is unrelated to Flux Kontext LoRA conversion/loading." }, { "left": "pull_request:3632", "right": "pull_request:4408", "accept": false, - "reason": "Both are single-feature pipeline updates, but one adds panorama view batching and the other adds SDXL from_single_file support. Unrelated." + "reason": "Panorama view batching and SDXL from_single_file support are unrelated pipeline changes." }, { "left": "pull_request:10072", "right": "pull_request:9507", "accept": false, - "reason": "One fixes SD3.5 ControlNet offloading/pos-embed handling; the other fixes Flux ControlNet batch/control_mode accumulation. Different concrete bugs." + "reason": "Both involve ControlNet/Flux offloading or batching, but they are different models and concrete fixes; not mergeable as one PR." }, { "left": "pull_request:10292", "right": "pull_request:9212", "accept": false, - "reason": "Both affect AutoPipeline flux mappings, but one adds Flux Control to AutoPipeline and the other fixes Kolors img2img mapping. Different pipeline families." + "reason": "Both touch AutoPipeline, but one adds Flux Control entries and the other fixes Kolors img2img mapping; different targets." }, { "left": "pull_request:10719", "right": "pull_request:9244", "accept": false, - "reason": "One threads provider_options through from_pretrained for ONNX submodels; the other adds Flux from_single_file support. Not the same issue." - }, - { - "left": "pull_request:10911", - "right": "pull_request:11975", - "accept": false, - "reason": "One fixes a Lumina2 LoRA fuse test; the other is a style-only crop reference change in a Flux training example. Not duplicate." + "reason": "Provider-options plumbing in from_pretrained is unrelated to adding single-file support for Flux pipelines." } ] }, @@ -167852,7 +167756,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 208, "review_unit_count": 272, "status": "reviewed", @@ -167862,9 +167766,11 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ + "pull_request:10911", "pull_request:11004", "pull_request:11614", "pull_request:11818", + "pull_request:11975", "pull_request:12424", "pull_request:1282", "pull_request:1309", @@ -167906,12 +167812,11 @@ "pull_request:6787", "pull_request:6841", "pull_request:689", - "pull_request:6893", "pull_request:8702", - "pull_request:8722", "pull_request:9065" ], "soft_pairs": [ + "pull_request:10911|pull_request:11975", "pull_request:11004|pull_request:11818", "pull_request:11614|pull_request:12424", "pull_request:1282|pull_request:2389", @@ -167936,193 +167841,192 @@ "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:6841|pull_request:9065" ], - "prepared_review_unit_hash": "bd198d3439951e75335d4ae8aa329652aab23d7e28ad167f497eb02e6b2d903d", + "prepared_review_unit_hash": "389e7939d23d3f9c2f73d2bbce6c7387ddb2c9a5a6f5e56a5dd8045bb140f9dd", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 26, - "serialized_chars": 99050, - "estimated_input_tokens": 24763, - "estimated_eval_tokens": 49782 + "serialized_chars": 98619, + "estimated_input_tokens": 24655, + "estimated_eval_tokens": 49566 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a collection of unrelated merged PRs spanning docs, CI, examples, pipeline fixes, and larger refactors; there is no single underlying bug or change tying them together, so no duplicate canonical is appropriate.", - "confidence": 0.96, + "summary": "The cluster is a grab-bag of unrelated PRs across tests, docs, workflows, training scripts, and pipeline fixes. The only commonality is vague topical similarity, not the same underlying bug or change, so no soft duplicates should be merged.", + "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: the items do not share one concrete code-path or feature change, and several are clearly unrelated maintenance/docs/feature work.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "No best PR for duplicate triage; picking one would be arbitrary because the set is heterogeneous rather than one duplicate family.", + "best_pr_reason": null, "soft_edge_verdicts": [ + { + "left": "pull_request:10911", + "right": "pull_request:11975", + "accept": false, + "reason": "Different fixes: Lumina2 LoRA fuse NaN test vs a DreamBooth example style/args correction." + }, { "left": "pull_request:11004", "right": "pull_request:11818", "accept": false, - "reason": "Both touch LoRA-related code, but one removes a PEFT full-key-prefix path while the other changes flux denoising sync behavior; different bugs and code paths." + "reason": "PEFT LoRA key-prefix handling and Flux denoising sync removal are unrelated code paths." }, { "left": "pull_request:11614", "right": "pull_request:12424", "accept": false, - "reason": "Both mention docker CI, but 11614 adjusts workflow shell/file handling while 12424 rewrites Dockerfile definitions and workflow metadata; not the same fix." + "reason": "Both touch docker CI, but one is a workflow shell tweak and the other rewrites multiple Dockerfile definitions." }, { "left": "pull_request:1282", "right": "pull_request:2389", "accept": false, - "reason": "Both are docs typo/link fixes, but they update different pages and different wrong links; no shared underlying change." + "reason": "Different documentation typos in different files; not the same change." }, { "left": "pull_request:1309", "right": "pull_request:274", "accept": false, - "reason": "One is a broad PIL-handling/docs/API update, the other adds a Stable Diffusion README; unrelated changes." + "reason": "Broad docs/API cleanup versus adding a Stable Diffusion README; unrelated." }, { "left": "pull_request:1564", "right": "pull_request:3252", "accept": false, - "reason": "Both add docs notes, but one is about accelerate default config in DreamBooth and the other is about stateful CPU offload behavior; different issues." + "reason": "Dreambooth accelerate config docs vs stateful offload notes in fp16 docs." }, { "left": "pull_request:1579", "right": "pull_request:274", "accept": false, - "reason": "Intel research examples versus a Stable Diffusion README; no shared bug or change." + "reason": "Examples/README restructuring and a Stable Diffusion README are different docs additions." }, { "left": "pull_request:1787", "right": "pull_request:689", "accept": false, - "reason": "UnCLIP prompt count fix in training scripts versus a low-level attention performance change; unrelated." + "reason": "Unclip training fix is unrelated to attention implementation changes." }, { "left": "pull_request:1920", "right": "pull_request:2452", "accept": false, - "reason": "A docs translation guide versus adding a core API docs page; both documentation, but not the same artifact or problem." + "reason": "Translation docs addition vs a draft core-api docs page; not the same artifact." }, { "left": "pull_request:2345", "right": "pull_request:4461", "accept": false, - "reason": "Both involve xformers/LoRA-adjacent training code, but one adds a warning and the other adds a conversion-script argument; distinct changes." + "reason": "xFormers warning in training scripts is unrelated to adding a conversion-script argument." }, { "left": "pull_request:2367", "right": "pull_request:3252", "accept": false, - "reason": "Training checkpoint-total-limit plumbing versus offload-state documentation; different features and code paths." + "reason": "Checkpoint-limit training-script feature vs offload documentation notes; different changes." }, { "left": "pull_request:2565", "right": "pull_request:453", "accept": false, - "reason": "UNet1D doc correction versus installation typo fix; unrelated documentation changes." + "reason": "UNet1D doc correction and installation typo fix are unrelated documentation fixes." }, { "left": "pull_request:26", "right": "pull_request:530", "accept": false, - "reason": "A scheduler math correction versus img2img test flakiness; completely different concerns." + "reason": "Scheduler math fix vs flaky img2img test adjustments; different bugs and scopes." }, { "left": "pull_request:3831", "right": "pull_request:4847", "accept": false, - "reason": "A new DDPM inversion pipeline versus a community prompt-free diffusion draft; different pipelines and no shared concrete fix." + "reason": "Rejected draft community pipeline addition is unrelated to the unfinished DDPM inversion pipeline." }, { "left": "pull_request:4078", "right": "pull_request:4910", "accept": false, - "reason": "From-single-file accelerate dependency enforcement versus an inpainting doc typo fix; unrelated." + "reason": "Single-file accelerate requirement and inpainting example typo are unrelated." }, { "left": "pull_request:4099", "right": "pull_request:5695", "accept": false, - "reason": "Both touch prompt embedding handling, but SDXL prompt duplication logic and PixArt masking conditions are separate implementations and bugs." + "reason": "SDXL prompt-embedding duplication bug and PixArt mask-feature condition are different pipeline issues." }, { "left": "pull_request:4262", "right": "pull_request:4404", "accept": false, - "reason": "SDXL DreamBooth LoRA training fixes versus removing textual inversion mentions from SDXL docs; not the same underlying change." + "reason": "SDXL DreamBooth LoRA fixes are not the same as removing textual inversion mentions from SDXL docs." }, { "left": "pull_request:4632", "right": "pull_request:5393", "accept": false, - "reason": "Both are training-example updates, but one fixes SDXL LoRA checkpoint/casting behavior while the other updates examples to HFApi; different scopes." + "reason": "Checkpoint/casting bug fixes in one example script vs HFApi migration docs/examples." }, { "left": "pull_request:4783", "right": "pull_request:5813", "accept": false, - "reason": "SDXL embedding-watermark docs versus splitting loader APIs into separate docs/modules; unrelated documentation/API restructuring." + "reason": "SDXL embedding docs behavior versus loader API documentation refactor; not one concrete fix." }, { "left": "pull_request:4833", "right": "pull_request:6099", "accept": false, - "reason": "LoRA unfuse state_dict/offload behavior versus TextToVideoZero superclass args; distinct code paths and problems." + "reason": "LoRA fuse/unfuse behavior and TextToVideoZero constructor args are unrelated code paths." }, { "left": "pull_request:4910", "right": "pull_request:5407", "accept": false, - "reason": "Inpainting doc variable-name correction versus mixed-precision training fix in unconditional generation; unrelated." + "reason": "Inpainting documentation typo vs mixed-precision training script fix; different concerns." }, { "left": "pull_request:4927", "right": "pull_request:5615", "accept": false, - "reason": "A temporary revert around offloading/LoRA side-loading versus reverting SDXL adapter load_lora logic; both are reverts but of different prior changes." + "reason": "Offloading/textual-inversion revert and SDXL adapter LoRA revert are separate revert scopes." }, { "left": "pull_request:5085", "right": "pull_request:5506", "accept": false, - "reason": "LoRA offloading compatibility fix versus xformers+PEFT attention-processor fix; different concrete bugs." + "reason": "LoRA offloading compatibility fix versus xformers+PEFT attention scaling fix; different underlying problems." }, { "left": "pull_request:6208", "right": "pull_request:6787", "accept": false, - "reason": "Stable diffusion dtype mismatch in decoding versus Marigold depth input-range normalization; unrelated model issues." + "reason": "Stable Diffusion dtype crash fix and Marigold input-range fix are unrelated runtime bugs." }, { "left": "pull_request:6841", "right": "pull_request:8702", "accept": false, - "reason": "Ada-layer-norm parameter compatibility versus an SD3 conversion script; different subsystems and goals." + "reason": "Attention block parameter restoration vs adding an SD3 conversion script; no shared bug/change." }, { "left": "pull_request:6841", "right": "pull_request:9065", "accept": false, - "reason": "Ada-layer-norm parameter compatibility versus adding sentencepiece as a soft dependency; unrelated code changes." - }, - { - "left": "pull_request:6893", - "right": "pull_request:8722", - "accept": false, - "reason": "A 3D UNet attention refactor versus a large embeddings refactor; both are structural but not the same bug or mergeable change." + "reason": "Attention block parameter restoration and sentencepiece dependency support are unrelated." } ] }, @@ -168136,7 +168040,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 209, "review_unit_count": 272, "status": "reviewed", @@ -168173,6 +168077,7 @@ "pull_request:5880", "pull_request:6236", "pull_request:6673", + "pull_request:6893", "pull_request:7062", "pull_request:7134", "pull_request:7213", @@ -168195,6 +168100,7 @@ "pull_request:9988" ], "soft_pairs": [ + "pull_request:6893|pull_request:8722", "pull_request:7134|pull_request:7213", "pull_request:7632|pull_request:9569", "pull_request:8685|pull_request:9918", @@ -168220,184 +168126,190 @@ "pull_request:9473|pull_request:9838", "pull_request:10056|pull_request:11485" ], - "prepared_review_unit_hash": "624d1df9461e63a9347f511ff636180dede27c6a491edc13eb10c797dd1dcd63", + "prepared_review_unit_hash": "6a70b83778d501ea44a816774f2cc9905bd6ca0c2943e063b0329946776b5eab", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 47, - "item_count": 47, - "soft_pair_count": 24, - "serialized_chars": 98665, - "estimated_input_tokens": 24667, - "estimated_eval_tokens": 49590 + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 100878, + "estimated_input_tokens": 25220, + "estimated_eval_tokens": 50696 }, "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 PRs across docs, pipelines, training scripts, CI, and model internals. The only clear duplicate-like pair is the two tiny test-only changes adding `negative_prompt` to `tests/test_pipelines.py`.", - "confidence": 0.95, + "summary": "This cluster is mostly a set of unrelated PRs that only share broad topical keywords (Flux, LoRA, ControlNet, docs, CI, etc.). The only clear duplicate pair is the two negative-prompt test tweaks (#1256/#1258), which are the same test change in slightly different forms.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "No issue artifact is present. If a PR must represent the cluster, #1258 is the cleanest canonical choice because it is the fuller negative-prompt test change and matches the only true duplicate pair.", "best_issue_reason": null, - "best_pr_reason": "PR 1258 is the cleanest representative of the only near-duplicate pair: it makes the same small `negative_prompt` test update as 1256, but with the more explicit keyword-argument form.", + "best_pr_reason": "#1258 is the best PR representative because it cleanly captures the duplicated negative-prompt test fix; the other PRs are too heterogeneous and mostly unrelated feature/docs/infra changes.", "soft_edge_verdicts": [ + { + "left": "pull_request:6893", + "right": "pull_request:8722", + "accept": false, + "reason": "Different subsystems and different goals: 3D UNet attention refactor vs embeddings refactor." + }, { "left": "pull_request:7134", "right": "pull_request:7213", "accept": false, - "reason": "Both are docs edits, but one is UNet type hints and the other is a LoRA/PEFT tutorial refresh; they do not fix the same underlying issue." + "reason": "Type-hint cleanup in UNet code is unrelated to a LoRA docs update." }, { "left": "pull_request:7632", "right": "pull_request:9569", "accept": false, - "reason": "Both touch VAE-related code, but 7632 fixes DreamBooth VAE path handling while 9569 fixes CogVideoX decode batching; different bugs and code paths." + "reason": "Both are model/pipeline fixes, but they address different code paths and different bugs." }, { "left": "pull_request:8685", "right": "pull_request:9918", "accept": false, - "reason": "One is an SD3 float8 note in docs, the other is a server example; unrelated changes." + "reason": "Docs-only changes for unrelated topics: float8 note vs server example." }, { "left": "pull_request:9049", "right": "pull_request:9988", "accept": false, - "reason": "Both involve Flux, but 9049 is a specific `encode_prompt` bug fix while 9988 is a broad Flux Redux feature/conversion change; not the same concrete fix." + "reason": "Both involve Flux, but one is a narrow dtype fix in encode_prompt and the other is a broad Redux/conversion feature PR." }, { "left": "pull_request:2040", "right": "pull_request:241", "accept": false, - "reason": "InstructPix2Pix pipeline vs. an inpainting example script; different additions with no shared bug/change." + "reason": "InstructPix2Pix pipeline addition and an inpainting example script are distinct changes." }, { "left": "pull_request:4617", "right": "pull_request:5057", "accept": false, - "reason": "The encode_prompt refactor and SDXL clip-skip support are related only by shared prompt-encoding infrastructure, not the same underlying change." + "reason": "Encode-prompt refactor and SDXL clip-skip support are related at a high level but not the same concrete change." }, { "left": "pull_request:8616", "right": "pull_request:9423", "accept": false, - "reason": "LoRA fusion for SD3 and differential diffusion for Kolors are unrelated features." + "reason": "LoRA fusion for SD3 vs Differential Diffusion for Kolors are separate features." }, { "left": "pull_request:9175", "right": "pull_request:9311", "accept": false, - "reason": "Both concern ControlNet/SDXL, but one adds Flux Union ControlNet support and the other adds SDXL CFG cutoff callbacks; different functionality." + "reason": "Both mention ControlNet, but they target different models and different functionality." }, { "left": "pull_request:10633", "right": "pull_request:11017", "accept": false, - "reason": "Flux docs IP-Adapter example vs. hybrid inference VAE encode docs/code; no shared underlying bug or feature." + "reason": "Flux docs IP-Adapter example vs hybrid inference VAE encode docs/code are unrelated." }, { "left": "pull_request:11421", "right": "pull_request:11645", "accept": false, - "reason": "Interpolation-mode default in DreamBooth LoRA training and `_torch_version` handling when torch is disabled are unrelated fixes." + "reason": "Interpolation-mode argument change and torch-version fallback are unrelated fixes." }, { "left": "pull_request:1256", "right": "pull_request:1258", "accept": true, - "reason": "These are effectively the same tiny test update: adding `negative_prompt` to the same pipeline test with only a small API call formatting difference." + "reason": "These are the same negative-prompt test update in the same file; the only difference is positional vs named argument style." }, { "left": "pull_request:12618", "right": "pull_request:13164", "accept": false, - "reason": "Both are CI workflow edits, but they fix different dependency-install commands and different test jobs; not the same concrete change." + "reason": "Both touch CI workflows, but one fixes a uv uninstall typo while the other removes test deps; different changes." }, { "left": "pull_request:1282", "right": "pull_request:2994", "accept": false, - "reason": "A docs link correction for text-to-image training is unrelated to a ControlNet training dtype-casting fix." + "reason": "Wrong docs link and ControlNet training type-casting are unrelated." }, { "left": "pull_request:3137", "right": "pull_request:3189", "accept": false, - "reason": "Both are dtype-related, but one fixes class-label timestep embedding casting and the other fixes AudioLDM waveform output dtype; different code paths." + "reason": "Different dtype-related fixes in different components: UNet class labels vs AudioLDM waveform output." }, { "left": "pull_request:4352", "right": "pull_request:4793", "accept": false, - "reason": "Kandinsky combined pipeline offload/xformers helpers versus auto-pipeline config passthrough; separate fixes." + "reason": "Kandinsky combined pipeline offload/xformers additions are not the same as auto_pipeline kwargs handling." }, { "left": "pull_request:5021", "right": "pull_request:7216", "accept": false, - "reason": "Scheduler mapping docs and `from_single_file` signature/docs are unrelated." + "reason": "Scheduler mapping docs vs single-file loader signature update are unrelated." }, { "left": "pull_request:5085", "right": "pull_request:5823", "accept": false, - "reason": "One prevents LoRA offload breakage for incompatible checkpoints; the other adds adapter names to `fuse_lora`. Same area, different changes." + "reason": "Both involve LoRA infrastructure, but one fixes offloading behavior and the other adds adapter_names support for fusion." }, { "left": "pull_request:5299", "right": "pull_request:6236", "accept": false, - "reason": "General typehint/docs cleanup in models versus a ControlNet inpainting documentation fix; not the same issue." + "reason": "General model type-hint/docs cleanup is unrelated to a ControlNet inpainting doc example fix." }, { "left": "pull_request:5880", "right": "pull_request:7632", "accept": false, - "reason": "Both involve VAE behavior, but 5880 is a broad VAE config-registration compatibility change and 7632 is a specific DreamBooth path bug." + "reason": "Both mention VAE loading/compatibility, but they fix different failures in different code paths." }, { "left": "pull_request:6673", "right": "pull_request:7062", "accept": false, - "reason": "InstantID pipeline addition and an imagic docstring fix are unrelated." + "reason": "InstantID pipeline addition vs imagic docstring correction are unrelated." }, { "left": "pull_request:8722", "right": "pull_request:8952", "accept": false, - "reason": "A major embeddings refactor and QKV fusion support are different core-model changes." + "reason": "Embeddings refactor and QKV fusion support are distinct core model changes." }, { "left": "pull_request:9099", "right": "pull_request:9638", "accept": false, - "reason": "Both add ControlNet support in Flux-related areas, but they target different controlnet implementations and pipeline paths." + "reason": "Both are ControlNet-related, but they implement different Flux/SD3 model support and cannot be merged as one fix." }, { "left": "pull_request:9473", "right": "pull_request:9838", "accept": false, - "reason": "Both touch Flux dreambooth training scripts, but 9473 is a Prodigy/T5 LR fix while 9838 adjusts repetition and memory behavior; not the same bug." + "reason": "Shared Flux training files, but the actual fixes are different: LR handling vs custom-prompt repetition/memory logic." }, { "left": "pull_request:10056", "right": "pull_request:11485", "accept": false, - "reason": "Flux Redux pipeline work and Flex.2 pipeline addition are separate feature PRs with no shared concrete change." + "reason": "Flux Redux pipeline work and Flex.2 pipeline addition are unrelated features." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft-edge pair, 1256/1258, is indeed the same tiny `negative_prompt` test change with a small argument-format difference, so treating it as a mergeable duplicate is reasonable. The other soft-edge rejections are also cautious and consistent with the diffs shown." + "feedback": "The summary is grounded in the packet and stays conservative. The lone accepted pair (#1256/#1258) is supported by the shared test file and nearly identical negative-prompt test change, while the other pairwise rejections are plausibly conservative given the packet evidence. No overstatement of evidence stands out." }, "evaluator_used": true, "retried": false, @@ -168408,13 +168320,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 210, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -168497,10 +168409,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -168678,7 +168590,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 211, "review_unit_count": 272, "status": "reviewed", @@ -168764,14 +168676,14 @@ "pull_request:1017|pull_request:1885", "pull_request:10188|pull_request:10506" ], - "prepared_review_unit_hash": "cb3de1cc82b8eb24572222e2612ec73043d1c97ac11a03e43464ee4ea22ef81d", + "prepared_review_unit_hash": "a55676e14ad721a68d9962c2b2afdf02a183f99c6f11a372b5ef4a0be979ed2f", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -168786,162 +168698,162 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is not a real duplicate cluster: it mixes unrelated doc fixes, model/pipeline additions, scheduler tweaks, workflow changes, and LoRA/NPU/Audio/WAN/Flux features. I found no same-underlying-bug/change pairs worth merging.", + "summary": "The soft-edge pairs are mostly broad-similarity false positives: shared subsystems, docs, or adjacent model families, but not the same concrete bug or change. I would not merge any of them as duplicates.", "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 9769 ([core] Mochi T2V) is the most substantial merged PR in the set and the closest thing to a representative anchor, but it is not duplicate-equivalent to the others.", + "canonical_pr_reason": "No single pull request is a clear canonical duplicate target here; the cluster is heterogeneous and the apparent overlaps are mostly superficial or adjacent feature work.", "best_issue_reason": null, - "best_pr_reason": "PR 9769 is the strongest standalone representative by scope and impact (large core model/pipeline addition with extensive review), though the cluster overall is heterogeneous.", + "best_pr_reason": "No PR in this set is a strong global representative for duplicate triage because the items span unrelated features, fixes, and docs updates rather than one underlying change.", "soft_edge_verdicts": [ { "left": "pull_request:2721", "right": "pull_request:3476", "accept": false, - "reason": "Different changes: ModelEditing pipeline addition vs DPMSolver singlestep scheduler option. No shared code path or bug." + "reason": "Different features in different areas: ModelEditing pipeline vs a scheduler sigma option." }, { "left": "pull_request:3386", "right": "pull_request:4098", "accept": false, - "reason": "ControlNet refactor/add img2img-inpaint vs SDXL inpainting. Same broad area, but different concrete PRs and code paths." + "reason": "Both touch image generation/inpainting, but one is a ControlNet refactor and the other is SDXL inpainting; not the same code-path problem." }, { "left": "pull_request:12109", "right": "pull_request:12119", "accept": false, - "reason": "UniPC scheduler custom sigmas/timesteps vs Qwen-Image-Lightning LoRA loading. Different subsystems and purposes." + "reason": "UniPC scheduler custom sigmas/timesteps is unrelated to Qwen-Image-Lightning LoRA loading." }, { "left": "pull_request:12584", "right": "pull_request:12723", "accept": false, - "reason": "SANA-Video inference addition vs LongSANA minute-length video model. Related domain, but distinct models and implementations." + "reason": "Related video-model family, but one adds SANA-Video inference and the other adds LongSANA; different model variants and goals." }, { "left": "pull_request:11231", "right": "pull_request:12119", "accept": false, - "reason": "HiDream image model addition vs Qwen-Image-Lightning LoRA support. Different model families and changes." + "reason": "HiDream Image core addition is unrelated to Qwen-Image-Lightning LoRA support." }, { "left": "pull_request:11660", "right": "pull_request:12387", "accept": false, - "reason": "HiDream LoRA conversion support vs flash attention backend support. Unrelated code paths." + "reason": "HiDream LoRA conversion work is unrelated to FlashAttention kernel support." }, { "left": "pull_request:12024", "right": "pull_request:12074", "accept": false, - "reason": "WAN follow-up for timestep/pipe behavior vs WAN 2.2 second-transformer LoRA loading. Different bug/feature changes." + "reason": "Both are Wan-related, but one fixes recompilation behavior while the other adds LoRA loading for a second transformer." }, { "left": "pull_request:9507", "right": "pull_request:9988", "accept": false, - "reason": "Both Flux-related, but one fixes ControlNet batch mixing and the other is a Flux Redux model/pipeline addition. Not the same change." + "reason": "Both involve Flux, but one fixes ControlNet aggregation and the other is a broader Flux Redux feature set." }, { "left": "pull_request:12897", "right": "pull_request:12919", "accept": false, - "reason": "Both NPU-related, but one fixes Flux positional embedding on NPU and the other adds NPU attention backend support. Different concrete paths." + "reason": "Different NPU improvements: position embeddings vs attention backend support." }, { "left": "pull_request:1", "right": "pull_request:7", "accept": false, - "reason": "Foundational bootstrap PRs, but one adds GLIDE files and the other adds VQ-VAE. Separate model additions." + "reason": "Early repo bootstrap PRs for different model components; not duplicates." }, { "left": "pull_request:10005", "right": "pull_request:11564", "accept": false, - "reason": "Docs update for missing Flux pipelines vs adding prodigy deps to dreambooth requirements. No overlap beyond being small PRs." + "reason": "Docs for missing Flux pipelines vs adding prodigy dependencies; unrelated changes." }, { "left": "pull_request:10058", "right": "pull_request:8412", "accept": false, - "reason": "Both docs-related, but one fixes a link and the other rewrites single-file loading docs. Different documentation changes." + "reason": "Different documentation fixes with no shared underlying issue." }, { "left": "pull_request:10069", "right": "pull_request:10970", "accept": false, - "reason": "BnB quantizer device handling vs PR style bot workflow replacement. Unrelated changes." + "reason": "BnB quantizer device handling fix is unrelated to a GitHub Actions workflow change." }, { "left": "pull_request:10086", "right": "pull_request:8425", "accept": false, - "reason": "Stable Diffusion 3 guidance-layer fix vs workflow rename. Completely different areas." + "reason": "Stable Diffusion 3 guidance-layer bug fix vs workflow name rename; unrelated." }, { "left": "pull_request:101", "right": "pull_request:428", "accept": false, - "reason": "Core initial repo setup vs general docs overhaul. Not the same bug or feature." + "reason": "A large core bootstrap PR and a docs cleanup PR are not the same change." }, { "left": "pull_request:10109", "right": "pull_request:9286", "accept": false, - "reason": "Stable Audio torch_xla support vs adding an export symbol in __init__.py. Different scope and intent." + "reason": "Stable Audio XLA support is unrelated to adding an exported symbol in __init__.py." }, { "left": "pull_request:10114", "right": "pull_request:10730", "accept": false, - "reason": "Stable Audio formatting cleanup vs hook-unwrapping fix in pipeline utils. Not the same issue." + "reason": "Formatting-only cleanup vs hook unwrap bug fix; different changes." }, { "left": "pull_request:10114", "right": "pull_request:11475", "accept": false, - "reason": "Formatting cleanup vs WAN recompilation fix. No shared code-path problem." + "reason": "Formatting-only cleanup vs Wan recompilation fix; unrelated." }, { "left": "pull_request:10115", "right": "pull_request:8497", "accept": false, - "reason": "Flux positional-embedding bug fix vs spelling fix in a scheduler docstring. Not duplicates." + "reason": "Flux positional embedding bug fix vs a spelling correction; no overlap in bug/change." }, { "left": "pull_request:10119", "right": "pull_request:10245", "accept": false, - "reason": "Docs for loading/saving LoRA adapters vs docs for deleting/setting adapters. Related topic, but different API behavior and documentation targets." + "reason": "Both docs mention adapters, but one documents load_lora_adapter and the other delete_adapters; different APIs." }, { "left": "pull_request:10126", "right": "pull_request:8774", "accept": false, - "reason": "save_attn_procs deprecation vs LoraBaseMixin introduction. The latter is broader refactoring, not the same concrete change." + "reason": "Deprecating save_attn_procs is not the same as introducing LoraBaseMixin; one is API cleanup, the other a refactor." }, { "left": "pull_request:10140", "right": "pull_request:9769", "accept": false, - "reason": "ConsisID model/pipeline addition vs Mochi T2V model/pipeline addition. Different models and codebases." + "reason": "ConsisID and Mochi are entirely different model releases." }, { "left": "pull_request:10148", "right": "pull_request:9893", "accept": false, - "reason": "OmniGen model/pipeline addition vs SDXL ControlNet reference community pipeline. Different features and code paths." + "reason": "OmniGen feature addition is unrelated to an SDXL ControlNet reference pipeline." }, { "left": "pull_request:1017", "right": "pull_request:1885", "accept": false, - "reason": "Dreambooth script typing fix vs dreambooth_inpaint loop variable typo fix. Same example family, but different scripts and bugs." + "reason": "Different DreamBooth script typos/fixes in separate files and contexts." }, { "left": "pull_request:10188", "right": "pull_request:10506", "accept": false, - "reason": "LoRA loader expansion/debug behavior vs a torchao sequential CPU offload test. Different functionality and no same underlying bug." + "reason": "Flux LoRA expansion/loading behavior is unrelated to a torchao sequential CPU offload test." } ] }, @@ -168955,13 +168867,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 212, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -169051,10 +168963,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -169274,13 +169186,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 213, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -169372,10 +169284,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -169607,13 +169519,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 214, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -169705,10 +169617,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -169928,13 +169840,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 215, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -170020,10 +169932,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -170219,13 +170131,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 216, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -170316,10 +170228,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -170545,13 +170457,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 217, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -170644,10 +170556,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 219, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -171344,10 +171256,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -171585,13 +171497,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 220, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -171682,10 +171594,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 222, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -172340,10 +172252,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -172563,13 +172475,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 223, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -172667,10 +172579,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -172938,13 +172850,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 224, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -173030,10 +172942,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -173235,13 +173147,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 225, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -173329,10 +173241,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -173540,13 +173452,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 226, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -173635,10 +173547,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -173852,13 +173764,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 227, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -173944,10 +173856,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -174149,7 +174061,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 228, "review_unit_count": 272, "status": "reviewed", @@ -174246,14 +174158,14 @@ "pull_request:418|pull_request:921", "pull_request:4187|pull_request:4690" ], - "prepared_review_unit_hash": "975b875f8024739d5c4c37f1e8a4e3ff6dadce8f301eb4058a6b8132f4afcb13", + "prepared_review_unit_hash": "7e4cd758f3a8d00792c80edc6d952cbc581beb68b64da558d07a0124db48f165", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -174268,234 +174180,234 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This is not a single duplicate cluster: the items span unrelated docs edits, scheduler refactors, SDXL/ControlNet fixes, training examples, and utility changes. None of the soft edges look like the same underlying bug or change, so no canonical PR/issue emerges.", + "summary": "This cluster is highly heterogeneous: most soft links are superficial matches on shared docs/pipeline/scheduler filenames, but the paired PRs address different bugs or unrelated documentation/test edits. I would not merge any of the soft pairs as duplicates.", "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "No canonical PR stands out because the cluster is not a duplicate set; it mixes unrelated docs, tests, scheduler, and pipeline changes.", "best_issue_reason": null, - "best_pr_reason": null, + "best_pr_reason": "No single PR is a safe global representative for this cluster; none subsume the others or fix the same concrete problem.", "soft_edge_verdicts": [ { "left": "pull_request:3928", "right": "pull_request:4396", "accept": false, - "reason": "Both touch ControlNet pipelines, but 3928 fixes timestep-based controlnet_keep indexing while 4396 fixes prompt embedding dtype handling across many pipelines. Different bugs and code paths." + "reason": "Different bugs: ControlNet out-of-list handling vs SDXL/other pipelines allowing encode_prompt without text_encoder set." }, { "left": "pull_request:3931", "right": "pull_request:4748", "accept": false, - "reason": "3931 changes ckpt loading from URLs/local paths; 4748 is a setup.py release-instructions/docs tweak. No shared bug or change." + "reason": "Unrelated changes: ckpt loading logic vs setup.py release instructions." }, { "left": "pull_request:396", "right": "pull_request:397", "accept": false, - "reason": "Both are docs-heavy early PRs, but one is DDIM docs and the other is Quicktour docs. Different content, not the same change." + "reason": "Both are docs, but they update different pages with different content." }, { "left": "pull_request:396", "right": "pull_request:415", "accept": false, - "reason": "DDIM docs vs training docs overhaul; same broad docs area only, but not the same underlying change." + "reason": "Different documentation areas; no shared change or bug." }, { "left": "pull_request:396", "right": "pull_request:418", "accept": false, - "reason": "DDIM docs vs DiffusionPipeline docs/API rewrite. Different docs targets and scope." + "reason": "Different docs pages with different scope and content." }, { "left": "pull_request:396", "right": "pull_request:508", "accept": false, - "reason": "DDIM docs vs scheduler/example code update. No same concrete bug/change." + "reason": "Docs PR vs scheduler/example code changes; unrelated." }, { "left": "pull_request:397", "right": "pull_request:408", "accept": false, - "reason": "Quicktour docs vs general typos across docs. Same repo area, but not the same change." + "reason": "Both are docs edits, but they are separate page-level changes." }, { "left": "pull_request:397", "right": "pull_request:416", "accept": false, - "reason": "Quicktour docs vs models API/docs and implementation updates. Not a duplicate." + "reason": "Quicktour rewrite vs models API/docs overhaul; different changes." }, { "left": "pull_request:397", "right": "pull_request:921", "accept": false, - "reason": "They both mention docs, and share some files, but 921 is a broad v1-5 docs update while 397 is the initial quicktour rewrite. Different scope." + "reason": "Only broad docs overlap; 921 is a larger docs refresh, not the same quicktour change." }, { "left": "pull_request:3971", "right": "pull_request:4010", "accept": false, - "reason": "3971 fixes documentation workflow setup; 4010 fixes SDXL sequential CPU offload behavior. Different code paths and goals." + "reason": "Docs build workflow fix vs SDXL sequential offload code fix." }, { "left": "pull_request:3971", "right": "pull_request:4196", "accept": false, - "reason": "Docs workflow YAML vs SDXL pipeline docs text. Both docs-related, but not the same underlying change." + "reason": "Different issues: documentation workflow vs SDXL docs content updates." }, { "left": "pull_request:3971", "right": "pull_request:4984", "accept": false, - "reason": "Workflow configuration fix vs PR template text fix. Unrelated edits." + "reason": "CI/doc workflow change vs PR template typo update." }, { "left": "pull_request:3972", "right": "pull_request:4850", "accept": false, - "reason": "3972 adjusts docs build workflow structure; 4850 centralizes deprecation warnings in pipelines. No overlap beyond being repo maintenance." + "reason": "Build workflow refactor vs deprecation-warning cleanup; unrelated." }, { "left": "pull_request:3979", "right": "pull_request:6410", "accept": false, - "reason": "3979 changes SDXL attention processor detection in upscale/XL pipelines; 6410 refactors module registration in RL value-guided sampling. Different subsystems and problems." + "reason": "Different code paths: SDXL attention processor check vs RL value-guided sampling module registration." }, { "left": "pull_request:3985", "right": "pull_request:4807", "accept": false, - "reason": "Both are docs PRs, but 3985 edits SDXL docs and 4807 adds Chinese docs. Not the same change." + "reason": "SDXL English docs tweak vs Chinese docs addition; not the same change." }, { "left": "pull_request:3989", "right": "pull_request:5097", "accept": false, - "reason": "3989 fixes SDXL sequential CPU offload for text_encoder_2; 5097 adds float16 test coverage for fast CUDA tests. Same test/pipeline area only superficially." + "reason": "Sequential CPU offload bugfix vs float16 test adjustments." }, { "left": "pull_request:3989", "right": "pull_request:6075", "accept": false, - "reason": "3989 is an SDXL offload fix; 6075 only changes backend cache cleanup in tests. Different underlying issues." + "reason": "Offload logic fix vs backend cache-clearing test/device cleanup." }, { "left": "pull_request:3989", "right": "pull_request:6198", "accept": false, - "reason": "3989 addresses SDXL CPU offload plumbing; 6198 adds a benchmark helper. Unrelated." + "reason": "Pipeline offload fix vs benchmark logging/reporting; unrelated." }, { "left": "pull_request:4", "right": "pull_request:75", "accept": false, - "reason": "Both are very early model-code PRs, but 4 converts GLIDE weights and 75 changes attention implementation for GLIDE. Different changes." + "reason": "Both touch Glide-era code, but one converts weights and the other changes attention implementation; different changes." }, { "left": "pull_request:4058", "right": "pull_request:4237", "accept": false, - "reason": "4058 is SDXL docs formatting/content; 4237 fixes SDXL encode_prompt dtype handling. Docs vs runtime bug." + "reason": "SDXL docs corrections vs prompt-encoding bugfix; unrelated." }, { "left": "pull_request:4058", "right": "pull_request:4238", "accept": false, - "reason": "4058 is docs-only; 4238 changes SDXL ControlNet inference/offload logic. Not the same bug." + "reason": "SDXL docs corrections vs ControlNet inference/offload fix; unrelated." }, { "left": "pull_request:4058", "right": "pull_request:5602", "accept": false, - "reason": "4058 edits SDXL docs; 5602 tweaks overview markdown spacing and links. Too different to be duplicates." + "reason": "Both are docs cleanup, but they touch different pages and edits." }, { "left": "pull_request:408", "right": "pull_request:415", "accept": false, - "reason": "Both are docs PRs, but 408 is typo cleanup across overview/conceptual docs while 415 rewrites training docs. Different changes." + "reason": "Separate documentation updates on different topics/pages." }, { "left": "pull_request:408", "right": "pull_request:418", "accept": false, - "reason": "Typo cleanup vs DiffusionPipeline docs/API rewrite. Not the same underlying change." + "reason": "Different docs areas: models/contribution typos vs DiffusionPipeline overview." }, { "left": "pull_request:4082", "right": "pull_request:6322", "accept": false, - "reason": "4082 fixes a dependency pin in SDXL DreamBooth requirements; 6322 changes training script attention/scheduler behavior. Unrelated." + "reason": "Different problems: SDXL dependency pin vs training script attention/scheduler logic." }, { "left": "pull_request:4082", "right": "pull_request:6337", "accept": false, - "reason": "Requirements pin vs tensorRT img2img latent retrieval change. Different code paths." + "reason": "Requirement pin change vs retrieve_latents fix; unrelated." }, { "left": "pull_request:41", "right": "pull_request:498", "accept": false, - "reason": "41 fixes comments in model files; 498 fixes disable_attention_slicing method calls in pipelines. Shared wording only, not same change." + "reason": "Comment cleanup vs attention-slicing bugfix in pipelines." }, { "left": "pull_request:41", "right": "pull_request:693", "accept": false, - "reason": "Comment cleanup vs BibTeX citation correction. Completely unrelated." + "reason": "Unrelated: model comments vs README citation formatting." }, { "left": "pull_request:41", "right": "pull_request:75", "accept": false, - "reason": "41 is comment formatting; 75 changes attention module behavior for GLIDE. Different underlying change, even though both touch model code." + "reason": "Shared old model code, but one is comment cleanup and the other fixes attention behavior." }, { "left": "pull_request:4106", "right": "pull_request:4276", "accept": false, - "reason": "4106 adds Tortoise TTS; 4276 adds a pipeline import test. No common bug/change." + "reason": "Tortoise TTS implementation vs pipeline import test; different scope." }, { "left": "pull_request:4106", "right": "pull_request:6150", "accept": false, - "reason": "New Tortoise TTS feature vs IP-Adapter conversion helper. Different features and modules." + "reason": "New Tortoise TTS feature vs IP-Adapter converter method; unrelated." }, { "left": "pull_request:4112", "right": "pull_request:5456", "accept": false, - "reason": "Dreambooth LoRA rank support vs RealFill example addition. Different training workflows." + "reason": "DreamBooth LoRA rank enhancement vs RealFill feature addition; different projects." }, { "left": "pull_request:4113", "right": "pull_request:6002", "accept": false, - "reason": "4113 fixes dtype handling in SDXL inpaint VAE encoding; 6002 fixes Stable Video Diffusion guidance scale logic. Different models and bugs." + "reason": "Inpaint dtype bugfix vs Stable Video Diffusion guidance-scale fix." }, { "left": "pull_request:415", "right": "pull_request:921", "accept": false, - "reason": "Both are documentation-heavy, but 415 is training docs and 921 is a broad release/docs update. Not the same concrete change." + "reason": "Both are docs-related, but 921 is a broad docs refresh rather than the same training docs change." }, { "left": "pull_request:416", "right": "pull_request:418", "accept": false, - "reason": "Models docs/API and implementation PR vs DiffusionPipeline docs/API PR. Related theme, but not duplicates." + "reason": "Models API docs vs DiffusionPipeline docs; different documentation targets." }, { "left": "pull_request:418", "right": "pull_request:921", "accept": false, - "reason": "418 introduces DiffusionPipeline docs and API framing; 921 is a later broad v1-5 docs refresh. Overlapping docs area, but not the same change." + "reason": "Only broad docs overlap; the content changes are not the same underlying edit." }, { "left": "pull_request:4187", "right": "pull_request:4690", "accept": false, - "reason": "Both touch DPMSolverMultistepScheduler, but 4187 adds an index counter/unique timestep handling while 4690 refactors initialization around sigmas. Similar subsystem, different concrete changes." + "reason": "Same scheduler file, but different concrete changes: timestep dedup/indexing vs sigma-based refactor." } ] }, @@ -174509,13 +174421,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 229, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -174604,10 +174516,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -174821,13 +174733,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 230, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -174913,10 +174825,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -175118,13 +175030,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 231, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -175213,10 +175125,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -175430,7 +175342,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 232, "review_unit_count": 272, "status": "reviewed", @@ -175449,7 +175361,6 @@ "pull_request:5707", "pull_request:5723", "pull_request:5727", - "pull_request:5741", "pull_request:5750", "pull_request:5780", "pull_request:5788", @@ -175477,7 +175388,6 @@ "pull_request:6656", "pull_request:6800", "pull_request:6861", - "pull_request:6864", "pull_request:6941", "pull_request:7", "pull_request:7062", @@ -175487,7 +175397,8 @@ "pull_request:7510", "pull_request:774", "pull_request:7767", - "pull_request:909" + "pull_request:909", + "pull_request:96" ], "soft_pairs": [ "pull_request:5568|pull_request:5961", @@ -175505,7 +175416,6 @@ "pull_request:5727|pull_request:5911", "pull_request:5727|pull_request:6192", "pull_request:5727|pull_request:6656", - "pull_request:5741|pull_request:6864", "pull_request:5750|pull_request:5895", "pull_request:5780|pull_request:6861", "pull_request:5780|pull_request:7307", @@ -175520,222 +175430,223 @@ "pull_request:5911|pull_request:6656", "pull_request:5920|pull_request:6276", "pull_request:5983|pull_request:7510", - "pull_request:6|pull_request:7" + "pull_request:6|pull_request:7", + "pull_request:6|pull_request:96" ], - "prepared_review_unit_hash": "60da7fe986861c85aeb373efa5522581f3a07be1cea4164af31d0819512df0b7", + "prepared_review_unit_hash": "14501f8b046b6dd31f475d51dcaa11240b7969fe976868225874103f966680de", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 48, - "item_count": 48, + "node_count": 47, + "item_count": 47, "soft_pair_count": 31, - "serialized_chars": 99679, - "estimated_input_tokens": 24920, - "estimated_eval_tokens": 50096 + "serialized_chars": 98130, + "estimated_input_tokens": 24533, + "estimated_eval_tokens": 49322 }, "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 feature/fix PRs across many subsystems, so there is no real duplicate anchor.", - "confidence": 0.98, + "summary": "This cluster is highly heterogeneous: mostly unrelated docs, tests, and feature PRs across different subsystems. I don\u2019t see any true duplicate pair among the soft edges, so the safe outcome is to reject them all.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR fits; the items span unrelated changes and code paths, so none can serve as a duplicate anchor.", + "canonical_pr_reason": "No single PR cleanly represents the cluster; the items span unrelated changes rather than one duplicate thread. If forced, #5911 is the most concrete code change, but it is not a good canonical representative for the whole set.", "best_issue_reason": null, - "best_pr_reason": "No global best PR; the cluster does not share one underlying bug or change, so any single PR would be misleading.", + "best_pr_reason": "No PR is a strong global best because the cluster is not coherent. #5911 is the most substantive and explicitly targeted code change, but it still doesn\u2019t match most of the other items.", "soft_edge_verdicts": [ { "left": "pull_request:5568", "right": "pull_request:5961", "accept": false, - "reason": "Custom pipeline loading fix vs PixArt docstring tweak; unrelated code paths." + "reason": "Different fixes in different areas: custom pipeline loading vs a PixArt docstring/default typo." }, { "left": "pull_request:56", "right": "pull_request:774", "accept": false, - "reason": "Both are test adjustments, but they target different historical failures and suites." + "reason": "Both are test-tolerance tweaks, but they affect different tests and are not the same underlying bug." }, { "left": "pull_request:56", "right": "pull_request:909", "accept": false, - "reason": "Unrelated test-only changes in different areas of the repo." + "reason": "Unrelated test updates: tolerance adjustment in modeling utils vs inpaint pipeline test changes." }, { "left": "pull_request:5614", "right": "pull_request:5858", "accept": false, - "reason": "SDXL width/height revert vs training-doc timesteps dtype change; different changes." + "reason": "Both are revert-style PRs, but they revert different changes in different docs/scripts." }, { "left": "pull_request:5622", "right": "pull_request:6326", "accept": false, - "reason": "Large examples/optimization update vs TensorRT guidance_scale attribute fix; unrelated." + "reason": "Different changes: example repo hygiene/optimization vs fixing a TensorRT guidance_scale setter bug." }, { "left": "pull_request:5622", "right": "pull_request:7077", "accept": false, - "reason": "General examples/docs rewrite vs IPAdapter head reshaping bug; different concrete issues." + "reason": "No shared underlying bug; one is example/README work, the other is an attention-shape fix." }, { "left": "pull_request:5626", "right": "pull_request:7767", "accept": false, - "reason": "CPU offload test fix vs PixArt sigma nits; not the same bug." + "reason": "CPU offload test fix vs PixArt sigma cleanup; unrelated code paths." }, { "left": "pull_request:5682", "right": "pull_request:6339", "accept": false, - "reason": "AnimateDiff WIP checks vs a docs typo fix; unrelated." + "reason": "Same pipeline family, but one is WIP feature work and the other is docs-only; not the same change." }, { "left": "pull_request:5707", "right": "pull_request:7324", "accept": false, - "reason": "LCM add-tests PR vs Stable Cascade test reference updates; different model families and failures." + "reason": "LCM tests vs Stable Cascade tests; different models and unrelated fixes." }, { "left": "pull_request:5723", "right": "pull_request:6051", "accept": false, - "reason": "LCM docs addition vs Flax scheduler implementation; docs and code for different artifacts." + "reason": "Both are LCM-related, but docs vs Flax scheduler/pipeline code are distinct changes." }, { "left": "pull_request:5723", "right": "pull_request:6498", "accept": false, - "reason": "LCM docs vs inpaint mask-blur docs; unrelated documentation changes." + "reason": "Unrelated documentation edits for different topics." }, { "left": "pull_request:5723", "right": "pull_request:6800", "accept": false, - "reason": "LCM docs vs import-utility addition; unrelated." + "reason": "LCM docs vs adding is_torchvision_available; no shared bug or change." }, { "left": "pull_request:5727", "right": "pull_request:5911", "accept": false, - "reason": "LCM example scripts vs IPAdapterFull support; different features and code paths." + "reason": "LCM script additions vs IP-AdapterFull support; different features and code paths." }, { "left": "pull_request:5727", "right": "pull_request:6192", "accept": false, - "reason": "LCM example scripts vs unload_ip_adapter feature; unrelated." + "reason": "Different IP adapter-related features: LCM scripts vs unload_ip_adapter implementation." }, { "left": "pull_request:5727", "right": "pull_request:6656", "accept": false, - "reason": "LCM scripts vs unload_textual_inversion; unrelated loader features." - }, - { - "left": "pull_request:5741", - "right": "pull_request:6864", - "accept": false, - "reason": "PEFT unload speedup vs docs note about torch.compile; unrelated." + "reason": "LCM scripts and textual inversion unloading are unrelated." }, { "left": "pull_request:5750", "right": "pull_request:5895", "accept": false, - "reason": "Reference-only introduction PR vs Stable Video Diffusion addition; no shared underlying change." + "reason": "Generic stable diffusion intro docs vs Stable Video Diffusion implementation work; not the same change." }, { "left": "pull_request:5780", "right": "pull_request:6861", "accept": false, - "reason": "Checkpoint merger typo fix vs SDXL ControlNet update; unrelated." + "reason": "Checkpoint merger docs cleanup vs SDXL ControlNet pipeline update; unrelated." }, { "left": "pull_request:5780", "right": "pull_request:7307", "accept": false, - "reason": "Checkpoint_merger comment fix vs TensorRT example update; unrelated." + "reason": "Community README tweak vs TensorRT txt2img update; different artifacts and behavior." }, { "left": "pull_request:5788", "right": "pull_request:5974", "accept": false, - "reason": "LCM scheduler error handling vs PixArt LCM pipeline adaptation; different concrete changes." + "reason": "Both touch LCM-adjacent code, but scheduler error handling and PixArtAlpha adaptation are separate problems." }, { "left": "pull_request:5842", "right": "pull_request:6241", "accept": false, - "reason": "PixArt aspect-ratio bug fix vs runtime half/float error; unrelated." + "reason": "PixArt 512px resolution bug vs an unrelated runtime type-mismatch fix." }, { "left": "pull_request:5842", "right": "pull_request:7062", "accept": false, - "reason": "PixArt resolution fix vs imagic docstring cleanup; unrelated." + "reason": "PixArt aspect-ratio bug vs imagic docstring cleanup; unrelated." }, { "left": "pull_request:5844", "right": "pull_request:6643", "accept": false, - "reason": "Docs reference to Japanese SDXL vs UViT2D docs; unrelated documentation additions." + "reason": "Different docs additions for different models/topics." }, { "left": "pull_request:5855", "right": "pull_request:6861", "accept": false, - "reason": "README typo fix vs BD-341 pipeline update; unrelated." + "reason": "README typo fix vs SDXL ControlNet pipeline update; unrelated." }, { "left": "pull_request:5895", "right": "pull_request:5982", "accept": false, - "reason": "Stable Video Diffusion feature work vs SDXL Turbo docs; unrelated." + "reason": "Stable Video Diffusion implementation vs SDXL Turbo docs; not the same underlying change." }, { "left": "pull_request:5910", "right": "pull_request:6941", "accept": false, - "reason": "Both involve IP-Adapter, but they address different pipelines and different concrete code paths." + "reason": "Both are IP-Adapter related, but loader/model support and ControlNet inpaint pipeline integration are distinct changes." }, { "left": "pull_request:5911", "right": "pull_request:6192", "accept": false, - "reason": "IPAdapterFull support vs unload_ip_adapter method; different functionality." + "reason": "IPAdapterFull support vs unload_ip_adapter; separate features, not one fix." }, { "left": "pull_request:5911", "right": "pull_request:6656", "accept": false, - "reason": "IPAdapterFull support vs textual inversion unload; unrelated loaders." + "reason": "IP-Adapter support and textual inversion unloading are unrelated loader features." }, { "left": "pull_request:5920", "right": "pull_request:6276", "accept": false, - "reason": "IPEX LoRA support in a community pipeline vs IPAdapter FaceID; unrelated changes." + "reason": "IPEX LoRA support vs IPAdapter FaceID community pipeline; different functionality." }, { "left": "pull_request:5983", "right": "pull_request:7510", "accept": false, - "reason": "SVD doc cleanup vs VAE tiling OOM fix; unrelated." + "reason": "SVD docs cleanup vs VAE tiling OOM fix; unrelated." }, { "left": "pull_request:6", "right": "pull_request:7", "accept": false, - "reason": "Early init-export changes for different model classes; not a duplicate change." + "reason": "Different init/export changes for different model classes; not the same bug or feature." + }, + { + "left": "pull_request:6", + "right": "pull_request:96", + "accept": false, + "reason": "Different early-init/model-export refactors touching separate model families." } ] }, @@ -175749,7 +175660,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 233, "review_unit_count": 272, "status": "reviewed", @@ -175759,7 +175670,6 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ - "pull_request:6", "pull_request:6002", "pull_request:62", "pull_request:6236", @@ -175784,6 +175694,7 @@ "pull_request:6498", "pull_request:6564", "pull_request:662", + "pull_request:6645", "pull_request:6759", "pull_request:6800", "pull_request:6910", @@ -175796,6 +175707,7 @@ "pull_request:802", "pull_request:8268", "pull_request:8272", + "pull_request:8378", "pull_request:8419", "pull_request:8425", "pull_request:8426", @@ -175808,7 +175720,6 @@ "pull_request:96" ], "soft_pairs": [ - "pull_request:6|pull_request:96", "pull_request:6002|pull_request:7653", "pull_request:6002|pull_request:8272", "pull_request:62|pull_request:662", @@ -175842,246 +175753,337 @@ "pull_request:6498|pull_request:8654", "pull_request:6564|pull_request:7720", "pull_request:662|pull_request:78", - "pull_request:662|pull_request:802" + "pull_request:662|pull_request:802", + "pull_request:6645|pull_request:8378" ], - "prepared_review_unit_hash": "1b62eb9916b29709d5b8d118661c4de7b3e489380bb8f45e1f60f7ac902a8835", + "prepared_review_unit_hash": "876dee6355c582c8daad6fa13811bf7e036b41b14e623eee099d70019efc378d", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 35, - "serialized_chars": 99878, - "estimated_input_tokens": 24970, - "estimated_eval_tokens": 50196 + "serialized_chars": 100944, + "estimated_input_tokens": 25236, + "estimated_eval_tokens": 50728 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a loose mix of unrelated feature PRs and small fixes; none of the soft pairs look like true duplicates, so I reject all of them and pick a large, representative feature PR as canonical.", - "confidence": 0.42, + "summary": "This cluster is mostly a set of unrelated PRs that only look similar at a very high level (docs tweaks, pipeline refactors, bug fixes, and model additions). I found no true duplicate PR pairs worth merging, so the cluster should not be collapsed aggressively.", + "confidence": 0.24, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #8483 is the largest and most central artifact here: it adds Stable Diffusion 3 across code, docs, models, loaders, and tests, with the highest activity and broadest impact among the listed PRs.", + "canonical_pr_reason": "PR 8483 is the broadest and most central artifact in the set: a large feature addition that touches core package exports, docs, models, pipelines, and tests. It is the best representative only in the sense of being the most substantial PR here, not because the cluster is a true duplicate set.", "best_issue_reason": null, - "best_pr_reason": "PR #8483 is the best representative of the cluster because it is a substantive feature release rather than a narrow bugfix or docs tweak, and it has the strongest cross-file footprint and review activity.", + "best_pr_reason": "PR 8483 is the strongest single representative of the cluster because it is the largest, most cross-cutting change and the one most likely to absorb follow-up compatibility edits. The rest of the items are mostly narrow, unrelated fixes or docs updates.", "soft_edge_verdicts": [ - { - "left": "pull_request:6", - "right": "pull_request:96", - "accept": false, - "reason": "Both touch early LDM-era code, but #6 only exports UNetLDMModel while #96 is a broader finalize-ldm refactor with different model and attention changes." - }, { "left": "pull_request:6002", "right": "pull_request:7653", "accept": false, - "reason": "Different code paths: SVD guidance-scale logic vs a configuration_utils decorator/helper fix." + "reason": "Completely different fixes: SVD guidance-scale logic vs a configuration decorator/name fix." }, { "left": "pull_request:6002", "right": "pull_request:8272", "accept": false, - "reason": "SVD guidance behavior is unrelated to the scheduler error-message cleanup in many files." + "reason": "Different subsystems and change types: SVD pipeline behavior vs grammar cleanup in scheduler error messages." }, { "left": "pull_request:62", "right": "pull_request:662", "accept": false, - "reason": "#62 fixes the latent diffusion unconditional pipeline decoding path; #662 is a broad textual inversion memory/README change." + "reason": "Unrelated changes: latent diffusion decode scaling vs a textual inversion 6GB setup change." }, { "left": "pull_request:62", "right": "pull_request:96", "accept": false, - "reason": "Both are LDM-related, but they address different code paths: unconditional decoding vs the larger LDM finalization/refactor." + "reason": "Both are LDM-era work, but one fixes unconditional pipeline decoding while the other is a broader finalization/refactor of the latent diffusion stack." }, { "left": "pull_request:6236", "right": "pull_request:6910", "accept": false, - "reason": "Docs only vs code+card standardization; they do not fix the same underlying bug or change." + "reason": "Docs example for ControlNet inpainting vs ControlNet model-card standardization; not the same underlying change." }, { "left": "pull_request:6262", "right": "pull_request:8419", "accept": false, - "reason": "Panorama pipeline refactor and dynamic-module download migration are unrelated." + "reason": "Panorama pipeline refactor and dynamic module download overhaul are unrelated." }, { "left": "pull_request:6263", "right": "pull_request:8419", "accept": false, - "reason": "LDM3D pipeline refactor is unrelated to the cached_download removal work." + "reason": "LDM3D pipeline move and cached_download removal are different changes." }, { "left": "pull_request:6264", "right": "pull_request:8419", "accept": false, - "reason": "SAG pipeline refactor and dynamic-module URL changes are different changes." + "reason": "SAG pipeline refactor does not match the community-pipeline download migration." }, { "left": "pull_request:6296", "right": "pull_request:6344", "accept": false, - "reason": "#6296 adds aMUSEd; #6344 updates aMUSEd links/repo references. Same topic, but not the same underlying change." + "reason": "Initial Amused pipeline addition vs later repo-link updates; related area, but not the same concrete change." }, { "left": "pull_request:6296", "right": "pull_request:6462", "accept": false, - "reason": "Initial aMUSEd pipeline addition vs a later paper-link correction; different scope and fix." + "reason": "Feature addition vs a docs-only paper-link fix." }, { "left": "pull_request:6308", "right": "pull_request:8425", "accept": false, - "reason": "LoRA test dummy-component changes are unrelated to a workflow filename rename." + "reason": "LoRA test fixture adjustments and workflow renaming are unrelated." }, { "left": "pull_request:6322", "right": "pull_request:7510", "accept": false, - "reason": "Training-script guidance/scheduler changes are unrelated to the VAE tiling OOM test fix." + "reason": "Training script changes vs VAE tiling OOM test fixes; different code paths." }, { "left": "pull_request:6322", "right": "pull_request:8481", "accept": false, - "reason": "Different targets: training script behavior vs image-processor error messaging." + "reason": "Different areas: training/validation scheduler changes vs image input error-message handling." }, { "left": "pull_request:6326", "right": "pull_request:6410", "accept": false, - "reason": "TRT img2img guidance-scale handling and RL module registration are unrelated." + "reason": "TensorRT guidance-scale bug vs RL value-guided-sampling module registration; unrelated." }, { "left": "pull_request:6332", "right": "pull_request:6759", "accept": false, - "reason": "Community pipeline addition and InstantID prompt-embedding repeat fix are different changes." + "reason": "A community video pipeline addition vs an InstantID batch-shape fix; no shared underlying bug." }, { "left": "pull_request:6337", "right": "pull_request:7510", "accept": false, - "reason": "retrieve_latents fix in TRT img2img is unrelated to the VAE tiling memory fix." + "reason": "Latent extraction fix in a community pipeline vs a test OOM workaround." }, { "left": "pull_request:6337", "right": "pull_request:8481", "accept": false, - "reason": "Different bugs: latent retrieval in a community pipeline vs image processor input validation." + "reason": "Different bug classes and files; not the same issue." }, { "left": "pull_request:6339", "right": "pull_request:7510", "accept": false, - "reason": "Animatediff docs fix is unrelated to the VAE tiling test OOM issue." + "reason": "AnimateDiff docs cleanup vs VAE tiling memory fix." }, { "left": "pull_request:6339", "right": "pull_request:8481", "accept": false, - "reason": "Docs-only Animatediff change and image-processor validation fix are unrelated." + "reason": "Docs-only AnimateDiff update does not match image-processor validation logic." }, { "left": "pull_request:6373", "right": "pull_request:8698", "accept": false, - "reason": "Workflow deletion and transformer output-class cleanup do not address the same change." + "reason": "Deleting CI workflows is unrelated to removing a deprecation path in transformer2d." }, { "left": "pull_request:6389", "right": "pull_request:7087", "accept": false, - "reason": "Same pipeline area, but #6389 changes the noise_aug_strength type while #7087 is a docs/example enhancement; not the same fix." + "reason": "SVD parameter type fix vs SVD docs expansion; same project area, but different changes and could not be merged as one concrete fix." }, { "left": "pull_request:6410", "right": "pull_request:7077", "accept": false, - "reason": "Value-guided sampling registration fix and IP-Adapter attention reshaping fix are unrelated." + "reason": "RL module-registration fix vs IP-Adapter attention reshaping bug; unrelated code paths." }, { "left": "pull_request:6410", "right": "pull_request:8426", "accept": false, - "reason": "RL module registration fix is unrelated to the workflow dependency change." + "reason": "RL sampler fix and workflow dependency changes are unrelated." }, { "left": "pull_request:6410", "right": "pull_request:8491", "accept": false, - "reason": "Different subsystems: RL value-guided sampling vs dual_transformer import path." + "reason": "RL sampler registration bug and DualTransformer import relocation are unrelated." }, { "left": "pull_request:6410", "right": "pull_request:8656", "accept": false, - "reason": "Unrelated fixes: RL module registration vs sharded-checkpoint hook argument naming." + "reason": "Different areas: RL utility wiring vs sharded checkpoint loading." }, { "left": "pull_request:6433", "right": "pull_request:6487", "accept": false, - "reason": "Gluegen addition and Stable Cascade pipeline introduction are distinct feature PRs." + "reason": "Community pipeline addition vs Stable Cascade/Wuerstchen pipeline introduction; not the same change." }, { "left": "pull_request:6453", "right": "pull_request:6800", "accept": false, - "reason": "Amused paper-link update is unrelated to adding is_torchvision_available." + "reason": "Amused paper-link docs update and torchvision availability support are unrelated." }, { "left": "pull_request:6462", "right": "pull_request:7653", "accept": false, - "reason": "A paper-link correction in docs is unrelated to the configuration decorator fix." + "reason": "Docs link correction vs configuration decorator fix; no overlap." }, { "left": "pull_request:6487", "right": "pull_request:8483", "accept": false, - "reason": "Both are large pipeline launches, but Stable Cascade and Stable Diffusion 3 are different model families and codepaths." + "reason": "Stable Cascade pipeline introduction and Stable Diffusion 3 introduction are separate large features, even though both touch package exports/docs." }, { "left": "pull_request:6498", "right": "pull_request:8268", "accept": false, - "reason": "Inpaint mask-blur docs and from_single_file docs cleanup are unrelated documentation updates." + "reason": "Inpainting docs additions vs from_single_file docs cleanup; different documentation changes." }, { "left": "pull_request:6498", "right": "pull_request:8654", "accept": false, - "reason": "Inpaint docs vs SD3 docs: different topics, no shared underlying change." + "reason": "Inpaint docs update vs SD3 token-limit docs update; unrelated docs." }, { "left": "pull_request:6564", "right": "pull_request:7720", "accept": false, - "reason": "IP Adapter path handling fix and dead-code cleanup/f-string fix are unrelated." + "reason": "IP Adapter path handling bug vs dead-code cleanup/f-string fix." }, { "left": "pull_request:662", "right": "pull_request:78", "accept": false, - "reason": "Textual inversion memory/docs changes and the mid-block UNet refactor are unrelated." + "reason": "Textual inversion setup changes are unrelated to mid-block architectural fixes." }, { "left": "pull_request:662", "right": "pull_request:802", "accept": false, - "reason": "Textual inversion setup changes and a documentation indentation fix are unrelated." + "reason": "Textual inversion changes and docs indentation cleanup are unrelated." + }, + { + "left": "pull_request:6645", + "right": "pull_request:8378", + "accept": false, + "reason": "Community README cleanup vs asymmetric autoencoder forward-path fix; unrelated." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8419", + "accept": false, + "reason": "InstantID prompt-embedding shape fix and community-pipeline download migration are unrelated." + }, + { + "left": "pull_request:6800", + "right": "pull_request:6910", + "accept": false, + "reason": "Adding torchvision helper availability and ControlNet model-card standardization are unrelated." + }, + { + "left": "pull_request:6910", + "right": "pull_request:7077", + "accept": false, + "reason": "Model-card docs/code cleanup vs IP-Adapter attention reshaping bug." + }, + { + "left": "pull_request:7077", + "right": "pull_request:8425", + "accept": false, + "reason": "Attention processor bug fix vs workflow rename; no shared change." + }, + { + "left": "pull_request:7087", + "right": "pull_request:7510", + "accept": false, + "reason": "SVD documentation improvements vs VAE tiling OOM fix; same general model family but not the same bug." + }, + { + "left": "pull_request:7653", + "right": "pull_request:7720", + "accept": false, + "reason": "Decorator fix and dead-code removal are different maintenance changes." + }, + { + "left": "pull_request:7720", + "right": "pull_request:78", + "accept": false, + "reason": "Dead-code cleanup/f-string fix vs UNet mid-block structural fix." + }, + { + "left": "pull_request:78", + "right": "pull_request:802", + "accept": false, + "reason": "Core UNet architectural fix vs a docs indentation fix; unrelated." + }, + { + "left": "pull_request:8268", + "right": "pull_request:8272", + "accept": false, + "reason": "Two unrelated docs/error-message cleanups." + }, + { + "left": "pull_request:8378", + "right": "pull_request:8419", + "accept": false, + "reason": "AsymmetricAutoencoderKL forward fix and community download migration are unrelated." + }, + { + "left": "pull_request:8419", + "right": "pull_request:8425", + "accept": false, + "reason": "Cached-download migration and workflow renaming are different maintenance changes." + }, + { + "left": "pull_request:8425", + "right": "pull_request:8426", + "accept": false, + "reason": "Workflow rename and workflow dependency/install changes are distinct edits, not one underlying fix." + }, + { + "left": "pull_request:8481", + "right": "pull_request:8483", + "accept": false, + "reason": "Image-processor validation messaging fix is not the same as the large SD3 feature addition." + }, + { + "left": "pull_request:8483", + "right": "pull_request:8491", + "accept": false, + "reason": "SD3 feature add and DualTransformer import relocation are related only by package plumbing, not the same concrete change." + }, + { + "left": "pull_request:8654", + "right": "pull_request:8656", + "accept": false, + "reason": "SD3 docs and sharded-checkpoint fixes are unrelated." } ] }, @@ -176095,7 +176097,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 234, "review_unit_count": 272, "status": "reviewed", @@ -176105,7 +176107,6 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ - "pull_request:6645", "pull_request:6754", "pull_request:6759", "pull_request:6765", @@ -176129,6 +176130,7 @@ "pull_request:7156", "pull_request:718", "pull_request:7212", + "pull_request:7213", "pull_request:7259", "pull_request:7307", "pull_request:74", @@ -176139,7 +176141,7 @@ "pull_request:79", "pull_request:822", "pull_request:824", - "pull_request:8378", + "pull_request:8412", "pull_request:8452", "pull_request:8483", "pull_request:8607", @@ -176155,7 +176157,6 @@ "pull_request:979" ], "soft_pairs": [ - "pull_request:6645|pull_request:8378", "pull_request:6754|pull_request:7307", "pull_request:6759|pull_request:6929", "pull_request:6765|pull_request:7307", @@ -176184,216 +176185,224 @@ "pull_request:7156|pull_request:7618", "pull_request:7156|pull_request:8688", "pull_request:718|pull_request:78", - "pull_request:7212|pull_request:8836" + "pull_request:7212|pull_request:8836", + "pull_request:7213|pull_request:8412", + "pull_request:7259|pull_request:8990" ], - "prepared_review_unit_hash": "9d84366274ae7879029baf152a4973a92a77bc42368a2715fcaf1ef9a2a87d1a", + "prepared_review_unit_hash": "5fdcab6a8ccd9fa9e2b29c7fe9f23b5c3db6bae9e0b8171de9bdf14cccebbae5", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 30, - "serialized_chars": 97362, - "estimated_input_tokens": 24341, - "estimated_eval_tokens": 48938 + "soft_pair_count": 31, + "serialized_chars": 98478, + "estimated_input_tokens": 24620, + "estimated_eval_tokens": 49496 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is highly heterogeneous: most items are unrelated docs, CI, dependency, or distinct bugfix/feature PRs, so there is no meaningful duplicate grouping here.", - "confidence": 0.91, + "summary": "The cluster is mostly heterogeneous: the soft pairs share at most a broad subsystem (docs, attention, single-file loading, workflows) but not the same concrete bug or change. I would not merge any of the PR pairs as duplicates.", + "confidence": 0.93, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR fits this cluster; the items do not share one underlying change or bug. If forced to pick a representative, PR 8483 is the most substantial repository-wide change, but it is not a duplicate anchor for the rest.", + "canonical_pr_reason": "No single PR is a clear canonical duplicate target here; the items span unrelated fixes, docs updates, and feature additions across different code paths.", "best_issue_reason": null, - "best_pr_reason": "PR 8483 is the most substantial and central change in the set, touching core models/loaders/docs with broad impact; it is the strongest representative PR, though not a duplicate match for the others.", + "best_pr_reason": "PR 8483 is the strongest standalone reference point because it is a large, well-scoped feature PR with explicit issue linkage and broad code coverage, even though it is not a duplicate of the other items.", "soft_edge_verdicts": [ - { - "left": "pull_request:6645", - "right": "pull_request:8378", - "accept": false, - "reason": "Community README wording fix vs. AsymmetricAutoencoderKL forward bugfix; completely different changes." - }, { "left": "pull_request:6754", "right": "pull_request:7307", "accept": false, - "reason": "Diffusion-DPO training loss fix vs. TensorRT example/docker updates; unrelated code paths." + "reason": "Different features in unrelated files: diffusion DPO training loss fix vs a TensorRT community script update." }, { "left": "pull_request:6759", "right": "pull_request:6929", "accept": false, - "reason": "InstantID pipeline bugfix vs. community-pipeline docs update; different artifacts and issues." + "reason": "Both touch examples, but one fixes InstantID prompt image embedding handling and the other adds community-pipeline docs/support." }, { "left": "pull_request:6765", "right": "pull_request:7307", "accept": false, - "reason": "Hub cache path fix vs. TensorRT example/docker work; no shared underlying bug." + "reason": "Unrelated subsystems: hub/cache path handling vs a TensorRT example update." }, { "left": "pull_request:678", "right": "pull_request:921", "accept": false, - "reason": "Early broad import/model update vs. later docs/version updates; overlapping filenames do not indicate the same change." + "reason": "The shared filenames are only broad Stable Diffusion pipeline docs/code; the actual changes are from different eras and different goals." }, { "left": "pull_request:6800", "right": "pull_request:6989", "accept": false, - "reason": "Add torchvision availability helper vs. benchmark workflow dependency tweak; unrelated." + "reason": "Import utility exposure vs benchmark workflow dependency changes are unrelated." }, { "left": "pull_request:6800", "right": "pull_request:7259", "accept": false, - "reason": "Optional torchvision import support vs. TCD docs introduction; not the same bug/change." + "reason": "A utility availability helper is not the same change as adding TCD docs." }, { "left": "pull_request:6800", "right": "pull_request:7709", "accept": false, - "reason": "Dependency helper addition vs. CI tailscale/privileged workflow changes; different concerns." + "reason": "Torchvision availability export and Docker/CI Tailscale support are separate concerns." }, { "left": "pull_request:6800", "right": "pull_request:8483", "accept": false, - "reason": "Optional dependency helper vs. SD3 feature release; far too broad and unrelated." + "reason": "Adding an availability helper is unrelated to the Stable Diffusion 3 feature PR." }, { "left": "pull_request:6800", "right": "pull_request:8705", "accept": false, - "reason": "Torchvision helper vs. benchmark Docker container addition; no shared code-path." + "reason": "Import-utility plumbing and a benchmarking Docker image are different changes." }, { "left": "pull_request:6837", "right": "pull_request:8607", "accept": false, - "reason": "I2VGenXL docs import order vs. TAESD3 docs; unrelated documentation edits." + "reason": "Both are docs tweaks, but for different models and different capabilities; not the same underlying change." }, { "left": "pull_request:688", "right": "pull_request:822", "accept": false, - "reason": "Flax-without-PyTorch import guard vs. Flax scheduler API update; different bugs and code paths." + "reason": "Flax-without-Torch import handling is a different bug from the Flax scheduler API update." }, { "left": "pull_request:689", "right": "pull_request:978", "accept": false, - "reason": "Attention performance/test fix vs. typo corrections; not the same underlying change." + "reason": "A performance fix in attention code is unrelated to typo/doc wording cleanup." }, { "left": "pull_request:6904", "right": "pull_request:8688", "accept": false, - "reason": "PIL Image loading support vs. DoRA LoRA conversion logic; unrelated loader behavior." + "reason": "Image-loading support for PIL objects is unrelated to LoRA DoRA conversion fixes." }, { "left": "pull_request:693", "right": "pull_request:75", "accept": false, - "reason": "BibTeX citation fix vs. Glide attention refactor; completely different areas." + "reason": "BibTeX citation formatting and Glide attention behavior are unrelated." }, { "left": "pull_request:6989", "right": "pull_request:8990", "accept": false, - "reason": "Benchmark workflow dependency install vs. new PAG pipeline feature; unrelated changes." + "reason": "Benchmark workflow dependency tweaks and a new PAG pipeline are unrelated." }, { "left": "pull_request:6998", "right": "pull_request:8920", "accept": false, - "reason": "Docs callout syntax fix vs. PAG guide edits; both docs-only, but not the same concrete change." + "reason": "Two separate doc callout edits in different guides; not the same content or bug." }, { "left": "pull_request:7", "right": "pull_request:74", "accept": false, - "reason": "VQ-VAE addition vs. Grad-TTS mid-block addition; distinct model features." + "reason": "An initial VQ-VAE addition and a Grad-TTS mid-block change are different features." }, { "left": "pull_request:7", "right": "pull_request:79", "accept": false, - "reason": "VQ-VAE addition vs. unconditional image generation support; different implementation goals." + "reason": "VQ-VAE addition is not the same underlying feature as adding unconditional image generation." }, { "left": "pull_request:7", "right": "pull_request:979", "accept": false, - "reason": "VQ-VAE addition vs. missing README import; unrelated." + "reason": "Model code addition vs a README import fix are unrelated." }, { "left": "pull_request:7024", "right": "pull_request:8607", "accept": false, - "reason": "AnimateLCM docs vs. TAESD3 docs; both docs, but different topics and artifacts." + "reason": "AnimateLCM docs and TAESD3 docs are separate model/tutorial additions." }, { "left": "pull_request:7034", "right": "pull_request:8452", "accept": false, - "reason": "Both touch single-file loading, but one fixes ControlNet meta loading dtype handling and the other relaxes CLIP state-dict strictness; different code paths." + "reason": "Both are in single-file loading, but they fix different code paths: ControlNet meta-loading vs CLIP state-dict strictness." }, { "left": "pull_request:705", "right": "pull_request:824", "accept": false, - "reason": "CUDA CI workflow changes vs. Flax pipeline test changes; not the same fix." + "reason": "CI workflow/testing infrastructure changes are unrelated to Flax test support." }, { "left": "pull_request:7077", "right": "pull_request:8836", "accept": false, - "reason": "IP-Adapter head-to-batch reshaping bug vs. sliced attention loop bug; same subsystem, different defects." + "reason": "Both touch attention processor code, but one fixes IP-Adapter head reshaping while the other fixes sliced-attention loop bounds." }, { "left": "pull_request:7113", "right": "pull_request:9065", "accept": false, - "reason": "Docker Slack notification workflow vs. sentencepiece soft-dependency support; unrelated." + "reason": "Slack notifications for Docker CI and sentencepiece dependency gating are unrelated." }, { "left": "pull_request:7134", "right": "pull_request:8684", "accept": false, - "reason": "UNet type-hint cleanup vs. Pillow import doc fix; no shared underlying issue." + "reason": "UNet type-hint cleanup and a Pillow import docs fix are different edits." }, { "left": "pull_request:7156", "right": "pull_request:7618", "accept": false, - "reason": "Stalebot label normalization vs. CPU offload slow-test fix; unrelated automation vs. pipeline behavior." + "reason": "Stalebot label handling and CPU offload slow-test fixes are unrelated." }, { "left": "pull_request:7156", "right": "pull_request:8688", "accept": false, - "reason": "Stalebot bugfix vs. DoRA LoRA conversion fix; completely different code." + "reason": "Stalebot logic and LoRA conversion logic do not address the same bug." }, { "left": "pull_request:718", "right": "pull_request:78", "accept": false, - "reason": "Typo/doc cleanup vs. mid-block model fix; unrelated changes." + "reason": "Typos/docs cleanup and mid-block architecture fixes are unrelated." }, { "left": "pull_request:7212", "right": "pull_request:8836", "accept": false, - "reason": "TemporalBasicTransformerBlock cleanup vs. sliced attention loop bug; both attention-related but not the same defect." + "reason": "Different attention bugs: duplicate code removal in a transformer block vs a slicing loop off-by-one." + }, + { + "left": "pull_request:7213", + "right": "pull_request:8412", + "accept": false, + "reason": "Merge-LoRAs docs and single-file usage docs are distinct documentation topics." + }, + { + "left": "pull_request:7259", + "right": "pull_request:8990", + "accept": false, + "reason": "TCD intro docs and PAG pipeline implementation/docs are separate features." } ] }, @@ -176407,7 +176416,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 235, "review_unit_count": 272, "status": "reviewed", @@ -176417,8 +176426,6 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ - "pull_request:7213", - "pull_request:7259", "pull_request:7339", "pull_request:7458", "pull_request:7464", @@ -176447,9 +176454,11 @@ "pull_request:824", "pull_request:828", "pull_request:8298", - "pull_request:8412", + "pull_request:8310", + "pull_request:8386", "pull_request:8426", "pull_request:8467", + "pull_request:8478", "pull_request:8491", "pull_request:8652", "pull_request:8836", @@ -176460,14 +176469,13 @@ "pull_request:9116", "pull_request:9251", "pull_request:9463", + "pull_request:9536", "pull_request:9649", "pull_request:9684", "pull_request:9721", "pull_request:9769" ], "soft_pairs": [ - "pull_request:7213|pull_request:8412", - "pull_request:7259|pull_request:8990", "pull_request:7339|pull_request:7778", "pull_request:7458|pull_request:9251", "pull_request:7464|pull_request:8426", @@ -176494,210 +176502,212 @@ "pull_request:800|pull_request:904", "pull_request:8225|pull_request:9015", "pull_request:824|pull_request:828", - "pull_request:8298|pull_request:8652" + "pull_request:8298|pull_request:8652", + "pull_request:8310|pull_request:8478", + "pull_request:8386|pull_request:9536" ], - "prepared_review_unit_hash": "f1902f67bfc9eb4ec683b28e6d356995597d8538c777563e843964c1b617c1e3", + "prepared_review_unit_hash": "f34d81c70d4904e242f7aff0bb3a64584e8d6823e22725d2df5be7c028cda072", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { - "node_count": 47, - "item_count": 47, + "node_count": 48, + "item_count": 48, "soft_pair_count": 29, - "serialized_chars": 97513, - "estimated_input_tokens": 24379, - "estimated_eval_tokens": 49014 + "serialized_chars": 101009, + "estimated_input_tokens": 25253, + "estimated_eval_tokens": 50762 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "No convincing duplicate pairs here: the items span unrelated docs, CI/workflow, test, and feature PRs. One large core feature PR (Mochi T2V) is the best representative of the cluster, but it is not a duplicate of the others.", - "confidence": 0.93, + "summary": "This cluster is a grab bag of unrelated PRs across docs, CI/workflows, tests, loaders, schedulers, and feature additions. I found no true duplicate pairs; the soft links are mostly superficial file/subsystem similarity.", + "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 9769 is the most substantial and self-contained change: a full Mochi T2V feature add with broad code/docs surface and an explicit issue target, making it the strongest representative artifact in this set.", + "canonical_pr_reason": "PR 9769 is the strongest single representative if one must be chosen: it is a large, coherent feature addition with an explicit issue target and broad but internally consistent code/docs changes.", "best_issue_reason": null, - "best_pr_reason": "PR 9769 is the best standalone PR in the set because it is the largest core feature implementation, well-scoped, and has the clearest linkage to a tracked issue.", + "best_pr_reason": "PR 9769 is the best standalone PR in the set: substantial scope, clear feature intent, explicit tracking issue, and well-scoped implementation.", "soft_edge_verdicts": [ - { - "left": "pull_request:7213", - "right": "pull_request:8412", - "accept": false, - "reason": "Both are docs PRs, but one is about merging LoRAs and the other is about single-file loading; different user workflows and files." - }, - { - "left": "pull_request:7259", - "right": "pull_request:8990", - "accept": false, - "reason": "TCD intro docs versus adding SDXL ControlNet PAG img2img support; unrelated feature areas." - }, { "left": "pull_request:7339", "right": "pull_request:7778", "accept": false, - "reason": "Release workflow dependency fix and a debugging SSH runner workflow are unrelated CI changes." + "reason": "Different CI/workflow changes: release dependency install vs SSH debugging workflow. No shared bug or mergeable code path." }, { "left": "pull_request:7458", "right": "pull_request:9251", "accept": false, - "reason": "One skips dynamo tests on Python 3.12; the other triggers fast tests on patch branches. Different test infra changes." + "reason": "One skips Dynamo tests on Python 3.12; the other changes which branches trigger fast tests. Both are test infra, but not the same underlying change." }, { "left": "pull_request:7464", "right": "pull_request:8426", "accept": false, - "reason": "A small ldm3d import fix is unrelated to a mirror community pipeline workflow change." + "reason": "Unrelated: an example import path fix versus mirror-community workflow dependency setup." }, { "left": "pull_request:7464", "right": "pull_request:8491", "accept": false, - "reason": "Different fixes in different code paths: ldm3d import versus dual transformer import registration." + "reason": "Unrelated: community example import fix versus core model import structure fix." }, { "left": "pull_request:7472", "right": "pull_request:9036", "accept": false, - "reason": "Broken README link fix and nightly dependency fix are unrelated maintenance changes." + "reason": "Broken link in examples README versus nightly dependency install fix. Different files and problems." }, { "left": "pull_request:748", "right": "pull_request:819", "accept": false, - "reason": "Dreambooth/textual inversion hub upload fix is unrelated to DDIM timestep dtype handling." + "reason": "Example push_to_hub bug fix versus DDIM timestep dtype fix. Different code paths and eras." }, { "left": "pull_request:7510", "right": "pull_request:9036", "accept": false, - "reason": "A test OOM workaround and a nightly deps workflow fix do not share the same underlying change." + "reason": "OOM fix for a VAE tiling test versus nightly dependency setup; unrelated." }, { "left": "pull_request:7510", "right": "pull_request:9116", "accept": false, - "reason": "VAE tiling OOM test fix and a dead-link docs fix are unrelated." + "reason": "Test OOM fix versus dead-link docs fix. No shared underlying change." }, { "left": "pull_request:7520", "right": "pull_request:9463", "accept": false, - "reason": "HD-Painter community pipeline addition and PAG SD img2img support are different pipeline features." + "reason": "Adding HD-Painter community pipeline versus adding PAG support for SD Img2Img. Distinct features." }, { "left": "pull_request:7564", "right": "pull_request:9036", "accept": false, - "reason": "A broad tests cleanup PR is unrelated to nightly dependency installation changes." + "reason": "AnimateDiff test fixes versus nightly dependency workflow changes. Not the same issue." }, { "left": "pull_request:7564", "right": "pull_request:9116", "accept": false, - "reason": "Tests cleanup and a docs dead-link fix are unrelated." + "reason": "AnimateDiff test fixes versus a docs link fix. Unrelated." }, { "left": "pull_request:7594", "right": "pull_request:8224", "accept": false, - "reason": "Both touch docs, but one fixes callback examples while the other adds DeepFloyd training docs; different topics." + "reason": "Both touch docs, but one fixes callback usage and the other adds DeepFloyd training docs. Different documentation topics and purposes." }, { "left": "pull_request:7627", "right": "pull_request:7913", "accept": false, - "reason": "Playground latents mean/std handling in img2img is a different code-path problem than custom sigmas/timesteps in ControlNet XL." + "reason": "Playground img2img latent handling fix versus adding custom timesteps/sigmas for ControlNet SDXL. Different pipeline bugs." }, { "left": "pull_request:7709", "right": "pull_request:8990", "accept": false, - "reason": "Push-tests runner setup and PAG pipeline implementation are unrelated." + "reason": "Tailscale workflow addition versus adding PAG img2img support. Workflow/CI change, not the same feature or bug." }, { "left": "pull_request:774", "right": "pull_request:78", "accept": false, - "reason": "A test tweak and a historical mid-block model fix are not the same bug/change." + "reason": "A small tests fix versus a historic mid-block architecture refactor. Not the same underlying change." }, { "left": "pull_request:7790", "right": "pull_request:8467", "accept": false, - "reason": "Different community pipelines with different behavior and files; not the same change." + "reason": "Community pipeline addition versus SEGA pipeline fix. Different pipelines and goals." }, { "left": "pull_request:7791", "right": "pull_request:8836", "accept": false, - "reason": "AnimateDiff creation with IP Adapter and sliced-attention loop fixing are separate code-path issues." + "reason": "AnimateDiff IP-Adapter creation support versus sliced attention loop bugfix. Related broad area, but different concrete problems." }, { "left": "pull_request:7857", "right": "pull_request:9649", "accept": false, - "reason": "PixArtSigma docs/code addition and returning pred_original_sample from schedulers are unrelated." + "reason": "PixArtSigma docs addition versus scheduler return_tuple/API behavior fixes. Docs and pipeline docs are not the same change." }, { "left": "pull_request:7919", "right": "pull_request:9684", "accept": false, - "reason": "Offload behavior with device_map enabled is unrelated to CogVideoX VAE framewise batching." + "reason": "Offload behavior fix for loaders versus CogVideoX VAE batching optimization. Different subsystems and defects." }, { "left": "pull_request:7919", "right": "pull_request:9769", "accept": false, - "reason": "Offload/device-map handling and Mochi T2V feature implementation are different concerns." + "reason": "Offload behavior fix versus adding Mochi T2V support. Different code paths and not mergeable into one PR." }, { "left": "pull_request:7938", "right": "pull_request:9721", "accept": false, - "reason": "Slack reporting workflow refactor and Docker torch version pinning are separate CI/container maintenance changes." + "reason": "Docker build status reporting workflow versus pinning torch versions in Dockerfiles. Same broad infra area, but distinct changes." }, { "left": "pull_request:7977", "right": "pull_request:9036", "accept": false, - "reason": "A docs typo fix is unrelated to nightly dependency installation." + "reason": "Docs typo fix versus nightly dependency install fix. Unrelated." }, { "left": "pull_request:7977", "right": "pull_request:9116", "accept": false, - "reason": "Different docs pages and issues; no shared underlying bug or change." + "reason": "Different docs fixes on different pages; no shared underlying bug." }, { "left": "pull_request:800", "right": "pull_request:904", "accept": false, - "reason": "A draft VQ Diffusion implementation and stable diffusion inpainting are entirely different model/pipeline changes." + "reason": "A WIP VQ Diffusion port versus Stable Diffusion inpainting implementation. Completely different features." }, { "left": "pull_request:8225", "right": "pull_request:9015", "accept": false, - "reason": "Ignoring checkpoints on upload and fixing a PIA example are unrelated example-script/docs updates." + "reason": "Ignore checkpoints during upload versus fixing a PIA example in docs. Training upload behavior and docs example are unrelated." }, { "left": "pull_request:824", "right": "pull_request:828", "accept": false, - "reason": "Both are Flax-related tests, but they are separate PRs addressing different test-suite gaps and code changes, not one concrete bug." + "reason": "Both are Flax test PRs and touch the same file, but one adds a test and the other completes existing tests; they are adjacent maintenance changes, not the same concrete bug or change." }, { "left": "pull_request:8298", "right": "pull_request:8652", "accept": false, - "reason": "CLI env output simplification and adding Lumina T2X are unrelated changes." + "reason": "CLI env output simplification versus adding Lumina-T2X. Different subsystems and scopes." + }, + { + "left": "pull_request:8310", + "right": "pull_request:8478", + "accept": false, + "reason": "Both are HunyuanDiT-related, but one is a model refactor and the other adds controlnet/pipeline pieces. Too broad to treat as the same underlying change." + }, + { + "left": "pull_request:8386", + "right": "pull_request:9536", + "accept": false, + "reason": "Test refactors using output_shape versus a tokenizer padding-side fix. Unrelated test versus model code change." } ] }, @@ -176711,7 +176721,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 236, "review_unit_count": 272, "status": "reviewed", @@ -176721,20 +176731,21 @@ "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ + "pull_request:5299", + "pull_request:5312", "pull_request:5910", "pull_request:5911", + "pull_request:6195", "pull_request:6532", "pull_request:6534", + "pull_request:6721", "pull_request:7030", "pull_request:7031", "pull_request:7613", "pull_request:7615", - "pull_request:8310", - "pull_request:8386", "pull_request:839", "pull_request:842", "pull_request:8426", - "pull_request:8478", "pull_request:8481", "pull_request:8483", "pull_request:8491", @@ -176759,7 +176770,6 @@ "pull_request:9196", "pull_request:9249", "pull_request:9426", - "pull_request:9536", "pull_request:9569", "pull_request:9592", "pull_request:9658", @@ -176770,8 +176780,6 @@ "pull_request:9994" ], "soft_pairs": [ - "pull_request:8310|pull_request:8478", - "pull_request:8386|pull_request:9536", "pull_request:839|pull_request:842", "pull_request:8426|pull_request:9739", "pull_request:8481|pull_request:9036", @@ -176798,210 +176806,212 @@ "pull_request:7030|pull_request:7031", "pull_request:6532|pull_request:6534", "pull_request:7613|pull_request:7615", - "pull_request:5910|pull_request:5911" + "pull_request:5910|pull_request:5911", + "pull_request:6195|pull_request:6721", + "pull_request:5299|pull_request:5312" ], - "prepared_review_unit_hash": "e3e2e925d6d2879cdfb81ddfbaefc20ba13fb7658084e164eabfd93fa3d88474", + "prepared_review_unit_hash": "881206149f01e585aa5333b565b2732daca54bb520c67e8b8001737caa9e0e21", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 29, - "serialized_chars": 96458, - "estimated_input_tokens": 24115, - "estimated_eval_tokens": 48486 + "serialized_chars": 95691, + "estimated_input_tokens": 23923, + "estimated_eval_tokens": 48102 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a mixed cluster of unrelated diffusers PRs, with only a couple of clear duplicate/near-duplicate feature pairs. The strongest true duplicates are the IPAdapterFull / SDXL ControlNet IP-Adapter loading pairs; most other soft edges are same-subsystem but different code paths or pure docs/tests changes.", - "confidence": 0.77, + "summary": "A few pairs are true duplicates of the same feature/fix (notably IPAdapterFull, AnimateDiff SDXL, ControlNet IP-Adapter loading, and some docs/typehint cleanups), but most soft edges are only title/subsystem similarity across unrelated scripts, docs, or CI changes.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 8483 is the broadest, most central merged change in the set, with the strongest downstream references and the most substantial core-library impact, so it is the best single representative of this mixed cluster.", + "canonical_pr_reason": "No single PR is the global canonical across this mixed set; the accepted duplicate pairs each have their own merged head PR, and the fuller merged PR should be preferred within each pair.", "best_issue_reason": null, - "best_pr_reason": "PR 8483 is the most canonical-looking landed PR here: large, merged, core functionality, and later PRs build on it. It is a better global anchor than the smaller feature/docs/test PRs.", + "best_pr_reason": "PR 5911 is the strongest representative overall: it is the merged, complete IPAdapterFull implementation with docs and tests, and it clearly subsumes the draft 5910 counterpart.", "soft_edge_verdicts": [ - { - "left": "pull_request:8310", - "right": "pull_request:8478", - "accept": false, - "reason": "Same HunyuanDiT area, but one is a model refactor and the other adds controlnet/pipeline support; related subsystem, different concrete change." - }, - { - "left": "pull_request:8386", - "right": "pull_request:9536", - "accept": false, - "reason": "Both are test-related shape/padding adjustments, but they touch different test suites and different behaviors; not the same underlying bug." - }, { "left": "pull_request:839", "right": "pull_request:842", "accept": false, - "reason": "Both are small cleanup docs/tests PRs, but they fix different issues in different files and are not the same change." + "reason": "Both are small unrelated docs/test edits with no shared bug or code path." }, { "left": "pull_request:8426", "right": "pull_request:9739", "accept": false, - "reason": "One fixes CI workflow setup, the other adds SD3 single-file docs; no shared concrete bug or patch." + "reason": "One changes CI artifact upload, the other adds SD3 docs for float8; unrelated changes." }, { "left": "pull_request:8481", "right": "pull_request:9036", "accept": false, - "reason": "Different CI/runtime fixes in different workflows; same broad maintenance theme only." + "reason": "Image input error-message wording and nightly dependency setup are unrelated." }, { "left": "pull_request:8483", "right": "pull_request:8990", "accept": false, - "reason": "SD3 core release vs SDXL ControlNet PAG support; both are major feature work but on different pipelines and code paths." + "reason": "SD3 model/docs changes vs a PAG ControlNet SDXL img2img pipeline; different features." }, { "left": "pull_request:8491", "right": "pull_request:9077", "accept": false, - "reason": "Import-path fix vs typo cleanup; unrelated concrete changes." + "reason": "Import fix for dual transformer and typo cleanups are unrelated changes." }, { "left": "pull_request:8491", "right": "pull_request:9739", "accept": false, - "reason": "Import-path fix vs SD3 single-file doc update; unrelated patches." + "reason": "Import fix and SD3 docs typo/example update are unrelated." }, { "left": "pull_request:8521", "right": "pull_request:8978", "accept": false, - "reason": "Requirements pin vs large example notebook rewrite; same area only by repo folder, not same change." + "reason": "Requirements pin cleanup and a large notebook/example update are not the same change." }, { "left": "pull_request:8522", "right": "pull_request:9662", "accept": false, - "reason": "Both are dependency/version bumps, but for different packages and tests; not the same bug or fix." + "reason": "Dependency floor bump in setup.py and a test version guard update are related but not the same concrete fix." }, { "left": "pull_request:8583", "right": "pull_request:8607", "accept": false, - "reason": "XFormers support in attention processors vs TAESD3 docs; no same underlying code change." + "reason": "XFormers support in SD3 and TAESD3 docs are different changes." }, { "left": "pull_request:8607", "right": "pull_request:8618", "accept": false, - "reason": "Both are SD3 docs/model-related, but one adds docs and the other adds a new autoencoder config field; different change." + "reason": "Docs example for TAESD3 and adding shift_factor support to AutoencoderTiny are not the same code-path fix." }, { "left": "pull_request:8607", "right": "pull_request:9249", "accept": false, - "reason": "SD3 VAE docs vs SD3 ControlNet example; related ecosystem but different features and code paths." + "reason": "TAESD3 docs and SD3 ControlNet example work are unrelated." }, { "left": "pull_request:8656", "right": "pull_request:9077", "accept": false, - "reason": "Checkpoint sharding fix vs typo cleanup; different fixes, no shared bug." + "reason": "Shard-checkpoint loading fix and typo cleanup touch unrelated areas." }, { "left": "pull_request:8656", "right": "pull_request:9739", "accept": false, - "reason": "Checkpoint sharding fix vs SD3 single-file docs; unrelated." + "reason": "Shard-checkpoint loading fix and SD3 docs typo/example update are unrelated." }, { "left": "pull_request:8685", "right": "pull_request:9592", "accept": false, - "reason": "Float8 usage note vs Flax docstring refactor; both docs-oriented but not the same change." + "reason": "A float8 docs note and Flax docstring refactoring are not duplicates." }, { "left": "pull_request:8705", "right": "pull_request:8990", "accept": false, - "reason": "Docker image addition vs new SDXL PAG pipeline support; unrelated feature work." + "reason": "Docker/CI container setup and a PAG ControlNet pipeline addition are unrelated." }, { "left": "pull_request:8737", "right": "pull_request:9070", "accept": false, - "reason": "CI/workflow and benchmark changes vs FLUX img2img pipeline implementation; no common concrete patch." + "reason": "Broad workflow/example/benchmark changes and a new FLUX img2img pipeline are not the same change." }, { "left": "pull_request:8779", "right": "pull_request:9569", "accept": false, - "reason": "Different SD3 test and model decode fixes in separate files; not the same bug." + "reason": "An SD3 img2img test adjustment and a CogVideoX autoencoder decode fix are unrelated." }, { "left": "pull_request:8851", "right": "pull_request:9934", "accept": false, - "reason": "AuraFlow docs/model introduction vs Mochi docs; unrelated model docs." + "reason": "AuraFlow docs and Mochi docs are separate feature docs." }, { "left": "pull_request:8990", "right": "pull_request:9130", "accept": false, - "reason": "SDXL PAG pipeline addition vs textual inversion README update; same docs area only at a very broad level." + "reason": "PAG ControlNet pipeline support and textual inversion README updates are unrelated." }, { "left": "pull_request:8990", "right": "pull_request:9196", "accept": false, - "reason": "New SDXL ControlNet PAG pipeline vs PixArt attention processor chore; different code paths and goals." + "reason": "Pipeline support and a PixArt attention-processor chore are unrelated." }, { "left": "pull_request:9083", "right": "pull_request:9658", "accept": false, - "reason": "Flux single-file transformer support vs community FLUX ControlNet demo; different deliverables and implementations." + "reason": "Flux single-file transformer support and a community FLUX controlnet demo are different changes." }, { "left": "pull_request:9083", "right": "pull_request:9994", "accept": false, - "reason": "Flux single-file transformer support vs OmniGen model/pipeline addition; separate model families and code changes." + "reason": "Flux single-file support and OmniGen model/pipeline addition are unrelated." }, { "left": "pull_request:9426", "right": "pull_request:9938", "accept": false, - "reason": "CI artifact uploader update vs SDXL reference pipeline update; unrelated changes." + "reason": "CI artifact uploader version bump and SDXL reference docs/code refresh are unrelated." }, { "left": "pull_request:7030", "right": "pull_request:7031", "accept": true, - "reason": "Both are the same SDXL ControlNet inpaint IP-Adapter loading change; 7031 is the fuller merged form of 7030's support." + "reason": "Both add the same IP-Adapter weight-loading support to the SDXL ControlNet inpaint pipeline; 7031 is the fuller merged version." }, { "left": "pull_request:6532", "right": "pull_request:6534", "accept": false, - "reason": "Both target torch.compile compatibility, but they fix different DreamBooth scripts and different call sites; too separate to treat as one PR." + "reason": "Both target torch.compile compatibility, but they fix different DreamBooth training scripts and different code paths." }, { "left": "pull_request:7613", "right": "pull_request:7615", "accept": false, - "reason": "Both standardize advanced training model cards, but they touch different training scripts and docs; not the same code-path fix." + "reason": "Both standardize model-card code, but they are separate SD15 vs SDXL training scripts rather than one duplicated change." }, { "left": "pull_request:5910", "right": "pull_request:5911", "accept": true, - "reason": "Same IPAdapterFull feature/bug fix on the same loader path; 5911 is the more complete merged implementation of 5910's draft support." + "reason": "Same IPAdapterFull support change; 5911 is the complete implementation with docs and tests." + }, + { + "left": "pull_request:6195", + "right": "pull_request:6721", + "accept": true, + "reason": "Same AnimateDiff SDXL feature; 6721 is the finalized pipeline/docs/tests version of the WIP 6195." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5312", + "accept": true, + "reason": "Same typehint/doc cleanup in diffusers/models with the same issue target; both are clearly the same change family." } ] }, @@ -177015,7 +177025,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 237, "review_unit_count": 272, "status": "reviewed", @@ -177039,15 +177049,14 @@ "pull_request:11492", "pull_request:11744", "pull_request:11783", + "pull_request:4595", + "pull_request:4596", "pull_request:4659", "pull_request:4661", "pull_request:5065", "pull_request:5066", - "pull_request:5299", "pull_request:5303", "pull_request:5304", - "pull_request:5312", - "pull_request:6195", "pull_request:6328", "pull_request:6509", "pull_request:6525", @@ -177055,7 +177064,6 @@ "pull_request:6534", "pull_request:6555", "pull_request:6556", - "pull_request:6721", "pull_request:6765", "pull_request:6766", "pull_request:6767", @@ -177071,12 +177079,12 @@ "pull_request:9582", "pull_request:9583", "pull_request:9606", + "pull_request:9707", + "pull_request:9714", "pull_request:9724", "pull_request:9815" ], "soft_pairs": [ - "pull_request:6195|pull_request:6721", - "pull_request:5299|pull_request:5312", "pull_request:11426|pull_request:11427", "pull_request:5065|pull_request:5066", "pull_request:7865|pull_request:7898", @@ -177114,264 +177122,278 @@ "pull_request:6766|pull_request:6769", "pull_request:6767|pull_request:6769", "pull_request:4659|pull_request:4661", - "pull_request:7233|pull_request:7235" + "pull_request:7233|pull_request:7235", + "pull_request:4595|pull_request:4596", + "pull_request:9707|pull_request:9714" ], - "prepared_review_unit_hash": "35ce3b3c2cfe992fbe0806dcf0c80ebb262bd30a4dfc305d3d14b4fe0b8a1c91", + "prepared_review_unit_hash": "ec29025695bae92a84c6c3b4a66bbbe7837c19e9a472d9b0bb91b169afe8b2b3", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 40, - "serialized_chars": 108031, - "estimated_input_tokens": 27008, - "estimated_eval_tokens": 54272 + "serialized_chars": 105999, + "estimated_input_tokens": 26500, + "estimated_eval_tokens": 53256 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This input splits into multiple separate duplicate clusters (AnimateDiff SDXL, fp16 unscaling in dreambooth_lora_sdxl, SD3 ControlNet AutoPipeline, a few same-file doc/code follow-ups). Most same-issue-target pairs are too broad or file-specific to merge as true duplicates.", - "confidence": 0.88, + "summary": "This cluster is heterogeneous: it contains several separate duplicate/follow-up pairs, but they span unrelated features and files, so there is no single cluster-wide canonical PR.", + "confidence": 0.45, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR covers the whole set; if one representative must be chosen, PR 10889 is the cleanest finalized bugfix among the tight duplicate pairs (merged, narrowly scoped, and the final version of the fp16 unscaling fix).", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "10889 is the strongest standalone PR here: it is merged, concrete, and resolves a specific code-path bug rather than a broad or docs-only change.", + "best_pr_reason": null, "soft_edge_verdicts": [ - { - "left": "pull_request:6195", - "right": "pull_request:6721", - "accept": true, - "reason": "Same AnimateDiff SDXL feature/pipeline; 6721 reads like the completed successor to the WIP 6195." - }, - { - "left": "pull_request:5299", - "right": "pull_request:5312", - "accept": false, - "reason": "Both are broad docs/typehint cleanups in different model files; same issue target but not the same concrete change." - }, { "left": "pull_request:11426", "right": "pull_request:11427", "accept": false, - "reason": "Same interpolation feature request, but different training scripts/files; not a single code-path fix." + "reason": "Same feature area, but they update different training scripts; too broad to treat as one concrete duplicate PR." }, { "left": "pull_request:5065", "right": "pull_request:5066", "accept": true, - "reason": "Both appear to address the same AttentionProcessor typo/cleanup issue with overlapping files and the same target." + "reason": "Both are LoRA attention-processor typo fixes for the same issue, with overlapping code changes." }, { "left": "pull_request:7865", "right": "pull_request:7898", "accept": false, - "reason": "Same test-reduction theme, but different pipeline tests and different concrete edits." + "reason": "Different tests for different pipelines; same tracking issue is not enough to merge them." }, { "left": "pull_request:6555", "right": "pull_request:6556", "accept": false, - "reason": "Both are torch.compile compatibility tweaks, but for different training scripts and different code paths." + "reason": "Both address torch.compile compatibility, but for different scripts and code paths." }, { "left": "pull_request:6534", "right": "pull_request:6555", "accept": false, - "reason": "Different scripts and fixes; only the broad compile-compatible theme matches." + "reason": "Different training scripts and different fixes; not the same concrete change." }, { "left": "pull_request:6525", "right": "pull_request:6555", "accept": false, - "reason": "ControlNet training vs text-to-image LoRA training are distinct paths, so these are not duplicates." + "reason": "Unrelated scripts and code paths despite the shared compile-compat theme." }, { "left": "pull_request:6532", "right": "pull_request:6555", "accept": false, - "reason": "Different training scripts and model flows; same theme only at a broad level." + "reason": "Different example scripts; these are separate compatibility fixes, not one duplicate change." }, { "left": "pull_request:6525", "right": "pull_request:6532", "accept": false, - "reason": "Both are compile-compatibility fixes, but they target different example scripts and are not mergeable as one patch." + "reason": "Both are compile-compat patches, but for different training scripts and not the same bug." }, { "left": "pull_request:6525", "right": "pull_request:6534", "accept": false, - "reason": "Different training scripts; related cleanup, not the same underlying bug." + "reason": "Same broad compile-compat theme, but different scripts and code paths." }, { "left": "pull_request:11395", "right": "pull_request:11491", "accept": false, - "reason": "Both add interpolation-mode support, but to different scripts and example flows." + "reason": "Same interpolation idea, but applied to different training scripts." }, { "left": "pull_request:10364", "right": "pull_request:10365", "accept": false, - "reason": "Different pipelines (Sana vs Aura Flow); same XLA pattern, but not the same concrete change." + "reason": "Both add torch_xla support, but to different pipelines and call sites." }, { "left": "pull_request:9583", "right": "pull_request:9724", "accept": false, - "reason": "Both are docstring work, but on different files and different APIs." + "reason": "Different files and different docstring cleanup targets." }, { "left": "pull_request:6534", "right": "pull_request:6556", "accept": false, - "reason": "Different scripts and different code paths despite the shared compile-compatibility goal." + "reason": "Different example scripts; not the same underlying change." }, { "left": "pull_request:6532", "right": "pull_request:6556", "accept": false, - "reason": "Different training scripts; not the same concrete fix." + "reason": "Different scripts and bugs, only loosely related by training context." }, { "left": "pull_request:7052", "right": "pull_request:7307", "accept": true, - "reason": "Same TensorRT example update; 7307 looks like the broader follow-up/superset of 7052." + "reason": "Both update the same TensorRT txt2img community script; 7307 looks like the follow-up/expanded version of the same change." }, { "left": "pull_request:10783", "right": "pull_request:10889", "accept": true, - "reason": "Same fp16 unscaling bug in the same script; 10889 is the merged final fix." + "reason": "Same fp16 unscaling fix in the same train_dreambooth_lora_sdxl.py code path; 10889 is the cleaner final version." }, { "left": "pull_request:11491", "right": "pull_request:11492", "accept": false, - "reason": "Same interpolation feature, but applied to different scripts and not a single code-path change." + "reason": "Same interpolation feature, but they touch different training scripts and are not the same concrete code-path fix." }, { "left": "pull_request:11744", "right": "pull_request:11783", "accept": false, - "reason": "Same metadata feature request, but for different dreambooth scripts and test files." + "reason": "Related LoRA metadata work, but for different scripts and pipelines." }, { "left": "pull_request:6765", "right": "pull_request:6766", "accept": false, - "reason": "Path-handling refactors in different utility files; same theme, not the same change." + "reason": "Both are path-handling cleanups, but in different utility modules." }, { "left": "pull_request:6765", "right": "pull_request:6767", "accept": false, - "reason": "Different files and call sites; not a duplicate code change." + "reason": "Different utility files and unrelated path-handling code paths." }, { "left": "pull_request:6765", "right": "pull_request:6768", "accept": false, - "reason": "Different utility module, same broad Path cleanup only." + "reason": "Same refactor pattern, but different modules and implementations." }, { "left": "pull_request:6765", "right": "pull_request:6769", "accept": false, - "reason": "Same broad Path migration theme, but different utility file and logic." + "reason": "Broad cleanup theme only; not the same concrete change." }, { "left": "pull_request:6766", "right": "pull_request:6767", "accept": false, - "reason": "Different files and different path helpers; too broad to collapse." + "reason": "Different modules; too broad to treat as duplicate." }, { "left": "pull_request:6766", "right": "pull_request:6768", "accept": false, - "reason": "Different utility files; same cleanup theme only." + "reason": "Different utility files with separate path replacements." }, { "left": "pull_request:6767", "right": "pull_request:6768", "accept": false, - "reason": "Same issue target, but different files and unrelated code paths." + "reason": "Different modules and code paths." }, { "left": "pull_request:11463", "right": "pull_request:11491", "accept": false, - "reason": "Different training scripts; same interpolation idea but not one concrete patch." + "reason": "Same interpolation feature, but different training scripts and no shared concrete code path." }, { "left": "pull_request:9724", "right": "pull_request:9815", "accept": true, - "reason": "Same training_utils docstring cleanup in the same file; 9815 looks like the follow-up/finalized version." + "reason": "Both are training_utils.py docstring refactors touching the same functions; 9815 is a later consolidation of the same cleanup." }, { "left": "pull_request:6328", "right": "pull_request:6509", "accept": false, - "reason": "Both are AnimateDiff-related, but one is official video-to-video and the other is a community image-to-video pipeline." + "reason": "AnimateDiff video-to-video and image-to-video are different features, not duplicates." }, { "left": "pull_request:5303", "right": "pull_request:5304", "accept": true, - "reason": "Same DeepFloyd-IF docstring cleanup in the same file family; clearly overlapping work." + "reason": "Same DeepFloyd IF docstring cleanup in the same file and methods; 5304 refines the earlier change." }, { "left": "pull_request:9579", "right": "pull_request:9606", "accept": false, - "reason": "Different files and different docs targets; same documentation theme only." + "reason": "Different files and different documentation updates." }, { "left": "pull_request:9582", "right": "pull_request:9583", "accept": false, - "reason": "Separate files and separate docstring cleanups; not the same change." + "reason": "Separate docstring cleanup in unrelated modules." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11492", + "accept": false, + "reason": "Different scripts; same feature idea is too broad for a duplicate edge." + }, + { + "left": "pull_request:10830", + "right": "pull_request:10888", + "accept": true, + "reason": "Same SD3 ControlNet AutoPipeline export/registration fix, with 10888 appearing to be the merged final version." }, { "left": "pull_request:9582", "right": "pull_request:9815", "accept": false, - "reason": "Different modules and unrelated doc updates." + "reason": "Different files and unrelated docstring edits." }, { "left": "pull_request:6766", "right": "pull_request:6769", "accept": false, - "reason": "Different utility files; same Path refactor theme only." + "reason": "Different utility modules; not the same fix." }, { "left": "pull_request:6767", "right": "pull_request:6769", "accept": false, - "reason": "Different files and different path call sites; not a duplicate change." + "reason": "Different modules and path-handling changes." }, { "left": "pull_request:4659", "right": "pull_request:4661", "accept": true, - "reason": "Same long-weighted-prompt community pipeline work; 4661 appears to be the completed/replacement patch." + "reason": "Both are the same SDXL long weighted prompt pipeline/community README change; 4661 is the clearer merged continuation." }, { "left": "pull_request:7233", "right": "pull_request:7235", "accept": true, - "reason": "Same DoRA support for the SDXL dreambooth LoRA script; 7235 adds the docs/package follow-up to the same feature." + "reason": "Same DoRA training feature for train_dreambooth_lora_sdxl.py; 7235 bundles the script change with docs." + }, + { + "left": "pull_request:4595", + "right": "pull_request:4596", + "accept": true, + "reason": "Both are the same SDXL conversion-script work; 4596 is the implemented version of the WIP 4595 branch." + }, + { + "left": "pull_request:9707", + "right": "pull_request:9714", + "accept": true, + "reason": "Same AuraFlow docstring refactor in the same file; effectively the same change." } ] }, @@ -177385,7 +177407,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 238, "review_unit_count": 272, "status": "reviewed", @@ -177403,13 +177425,13 @@ "pull_request:11491", "pull_request:11511", "pull_request:11512", + "pull_request:11782", + "pull_request:11783", "pull_request:2046", "pull_request:2383", "pull_request:2384", "pull_request:3633", "pull_request:3952", - "pull_request:4595", - "pull_request:4596", "pull_request:5382", "pull_request:5506", "pull_request:5614", @@ -177444,8 +177466,6 @@ "pull_request:9715" ], "soft_pairs": [ - "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", @@ -177480,246 +177500,223 @@ "pull_request:7072|pull_request:7233", "pull_request:11472|pull_request:11491", "pull_request:7072|pull_request:7235", - "pull_request:8932|pull_request:8987" + "pull_request:8932|pull_request:8987", + "pull_request:11782|pull_request:11783" ], - "prepared_review_unit_hash": "c3e5f72d2c7b3f5e21c0c0c0940113ea98b967318bc3aca728ea597111582b0e", + "prepared_review_unit_hash": "7f907488b01a8b15387f0856dba92fb4c277da06b280417cf53ce1c30f4f018f", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, - "soft_pair_count": 37, - "serialized_chars": 99551, - "estimated_input_tokens": 24888, - "estimated_eval_tokens": 50032 + "soft_pair_count": 36, + "serialized_chars": 100711, + "estimated_input_tokens": 25178, + "estimated_eval_tokens": 50612 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a loose collection of near-duplicate PR pairs, mostly docs cleanups, training-script option tweaks, and test additions. I only accepted pairs that clearly touch the same concrete file/change or a direct revert; most cross-file/theme matches were rejected.", - "confidence": 0.78, + "summary": "This cluster is mostly a set of separate duplicate mini-clusters: docs cleanup splits, identical small fixes in one file, and several mirrored training-script updates. I would not treat the whole set as one canonical artifact.", + "confidence": 0.82, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "No single canonical PR for the full set; the items split into multiple unrelated duplicate groups (docs, example scripts, tests, and compile fixes).", "best_issue_reason": null, - "best_pr_reason": "pull_request:11491 is the strongest standalone PR here: it has an explicit issue target, a focused code change, and a clean feature scope.", + "best_pr_reason": "No global best PR; choose a canonical PR separately within each mini-cluster.", "soft_edge_verdicts": [ - { - "left": "pull_request:4595", - "right": "pull_request:4596", - "accept": true, - "reason": "Same conversion-script feature; 4596 looks like the completed version of the WIP 4595." - }, - { - "left": "pull_request:9707", - "right": "pull_request:9714", - "accept": true, - "reason": "Same AuroraFlow docstring refactor in the same file; near-identical change set." - }, { "left": "pull_request:5725", "right": "pull_request:5748", "accept": true, - "reason": "Both are the same broad docs cleanup across overlapping pipeline pages, with substantial filename overlap." + "reason": "Same docs cleanup split across two PRs; overlapping pipeline-page files and matching typo/title edits." }, { "left": "pull_request:5906", "right": "pull_request:5914", "accept": true, - "reason": "Same SDXL LoRA model-card template fix in the same script." + "reason": "Same SDXL LoRA README/template bugfix in the same file; the diffs look like the same small documentation/template correction." }, { "left": "pull_request:6208", "right": "pull_request:6259", "accept": false, - "reason": "Same error wording, but different files and different code paths; not the same concrete fix." + "reason": "Both mention the same RuntimeError, but they fix different code paths: pipeline decoding vs training validation autocast." }, { "left": "pull_request:6241", "right": "pull_request:6259", "accept": false, - "reason": "Title similarity only; the diffs address different training/validation code." + "reason": "No real diff/content on one side, and the pair does not show the same concrete fix." }, { "left": "pull_request:5725", "right": "pull_request:5744", "accept": true, - "reason": "Same docs page cleanup series with overlapping pages and the same editing intent." + "reason": "Same docs cleanup series with overlapping API pipeline pages; this looks like one split documentation change." }, { "left": "pull_request:6208", "right": "pull_request:6241", - "accept": true, - "reason": "Same RuntimeError fix in the stable-diffusion pipeline; 6241 appears to be the same change without the diff preview." + "accept": false, + "reason": "Different artifacts with no shared concrete fix beyond the error title." }, { "left": "pull_request:5382", "right": "pull_request:5614", "accept": false, - "reason": "One is a fix, the other is its revert; opposite changes, not duplicates." + "reason": "The second PR is a revert of the first, so they are opposite changes rather than duplicate fixes." }, { "left": "pull_request:11455", "right": "pull_request:11465", - "accept": false, - "reason": "Same default-interpolation idea, but applied to different training scripts and code paths." + "accept": true, + "reason": "Same image-interpolation change applied to closely related SDXL training scripts; this could plausibly be one PR." }, { "left": "pull_request:9591", "right": "pull_request:9706", "accept": false, - "reason": "Both are docs edits, but for different model files and different doc targets." + "reason": "Both are documentation edits, but they touch different model docs and are not the same underlying change." }, { "left": "pull_request:6558", "right": "pull_request:6576", - "accept": false, - "reason": "Both add torch.compile compatibility, but to different training scripts and different save/unwrap logic." + "accept": true, + "reason": "Same torch.compile compatibility fix in paired InstructPix2Pix training scripts (SD and SDXL); the code pattern is effectively identical." }, { "left": "pull_request:6654", "right": "pull_request:6655", - "accept": false, - "reason": "Same DreamBooth feature family, but one is SD and the other SDXL; not the same PR change." + "accept": true, + "reason": "Same DreamBooth LoRA training/inference refactor applied to SD and SDXL variants; this is one mirrored feature change." }, { "left": "pull_request:8916", "right": "pull_request:8919", "accept": false, - "reason": "Different model test files; same pattern, but not the same underlying bug/change." + "reason": "These add test coverage for different models; same style of test, but not the same bug or change." }, { "left": "pull_request:11431", "right": "pull_request:11512", "accept": false, - "reason": "Different transformer test files and models; too broad to treat as one duplicate." + "reason": "Different model test additions for torch.compile coverage; too model-specific to be one duplicate change." }, { "left": "pull_request:6526", "right": "pull_request:6576", "accept": false, - "reason": "Different training scripts; same compatibility theme, but not the same concrete change." - }, - { - "left": "pull_request:6526", - "right": "pull_request:6577", - "accept": false, - "reason": "Different training scripts and different code paths; only the general goal matches." + "reason": "Both are compile-compatibility work, but on different training scripts and model families; not the same concrete code path." }, { "left": "pull_request:6576", "right": "pull_request:6577", "accept": false, - "reason": "Same compile-compatibility theme, but separate scripts and separate fixes." + "reason": "Same broad compile-compatibility theme, but different training scripts and code paths." }, { "left": "pull_request:9714", "right": "pull_request:9715", "accept": true, - "reason": "Same AuroraFlow docstring refactor in the same file; effectively the same change." + "reason": "Same Auraflow docstring refactor in the same file; one looks like a follow-up/alternate version of the same docs-only change." }, { - "left": "pull_request:5506", - "right": "pull_request:5697", - "accept": true, - "reason": "Same PEFT/xformers attention-projection bugfix in the same file and code path." + "left": "pull_request:6526", + "right": "pull_request:6577", + "accept": false, + "reason": "Different training scripts and different model families; not one mergeable code-path fix." }, { - "left": "pull_request:11471", - "right": "pull_request:11491", + "left": "pull_request:11431", + "right": "pull_request:11511", "accept": false, - "reason": "Same interpolation-mode feature, but for different training scripts with distinct code paths." + "reason": "Different model-specific compile test additions; similar pattern, not the same change." }, { - "left": "pull_request:11472", + "left": "pull_request:11471", "right": "pull_request:11491", - "accept": false, - "reason": "Different script variants; related feature, not the same concrete PR." + "accept": true, + "reason": "Same interpolation-mode change for DreamBooth-style training scripts; the edits are the same feature applied to related scripts." }, { - "left": "pull_request:2383", - "right": "pull_request:2384", + "left": "pull_request:11511", + "right": "pull_request:11512", "accept": false, - "reason": "Direct revert pair, not a duplicate change." + "reason": "Separate model test coverage additions; not the same underlying artifact." }, { - "left": "pull_request:3633", - "right": "pull_request:3952", - "accept": false, - "reason": "Both pin dependency release candidates, but they are different versions and different PRs." + "left": "pull_request:5506", + "right": "pull_request:5697", + "accept": true, + "reason": "Same attention_processor PEFT/xFormers bugfix in the same file, with the later PR refining the earlier scale-argument handling." }, { - "left": "pull_request:2046", - "right": "pull_request:3633", - "accept": false, - "reason": "Different dependency-test PRs with different pin targets and file sets." + "left": "pull_request:11471", + "right": "pull_request:11472", + "accept": true, + "reason": "Same image-interpolation default change across closely related DreamBooth advanced scripts; one PR could have covered both." }, { - "left": "pull_request:7072", - "right": "pull_request:7233", + "left": "pull_request:2383", + "right": "pull_request:2384", "accept": false, - "reason": "Same feature family, but one is an advanced script/docs update and the other is the SDXL DreamBooth script." + "reason": "The second PR is a revert of the first utility addition, so they are not duplicate fixes." }, { - "left": "pull_request:7072", - "right": "pull_request:7235", + "left": "pull_request:3633", + "right": "pull_request:3952", "accept": false, - "reason": "Related DoRA work, but different script variants and not the same concrete change." + "reason": "Both pin dependency versions for different release tests, but they are distinct dependency bumps, not the same change." }, { - "left": "pull_request:8932", - "right": "pull_request:8987", + "left": "pull_request:2046", + "right": "pull_request:3633", "accept": false, - "reason": "Different model test additions; same coverage theme only." + "reason": "Different temporary dependency pins in setup.py; same area, but not the same underlying release-test change." }, { - "left": "pull_request:11431", - "right": "pull_request:11511", + "left": "pull_request:8919", + "right": "pull_request:8932", "accept": false, - "reason": "Different transformer test files and model targets; too broad to merge as duplicates." + "reason": "Different model coverage PRs, not the same bug or change." }, { "left": "pull_request:6525", "right": "pull_request:6526", - "accept": false, - "reason": "Same compile-compatibility theme, but different ControlNet training scripts." - }, - { - "left": "pull_request:6556", - "right": "pull_request:6576", - "accept": false, - "reason": "Different training scripts; same general compile fix, not the same code-path problem." + "accept": true, + "reason": "Same torch.compile compatibility fix for ControlNet training, applied to SD and SDXL variants." }, { - "left": "pull_request:2046", - "right": "pull_request:3952", + "left": "pull_request:7072", + "right": "pull_request:7233", "accept": false, - "reason": "Unrelated dependency-pin test PRs with different versions and files." + "reason": "Both are DoRA-related, but they target different DreamBooth script families and are separate feature implementations." }, { - "left": "pull_request:11471", - "right": "pull_request:11472", + "left": "pull_request:7072", + "right": "pull_request:7235", "accept": false, - "reason": "Same interpolation feature, but separate training scripts and separate code paths." + "reason": "One is the broader advanced-script DoRA work and the other is an SDXL DreamBooth LoRA update; related topic, different change sets." }, { - "left": "pull_request:11455", - "right": "pull_request:11472", + "left": "pull_request:8932", + "right": "pull_request:8987", "accept": false, - "reason": "Same broad resizing tweak, but different scripts and not a single concrete fix." + "reason": "Different model coverage additions, not the same underlying test or bugfix." }, { - "left": "pull_request:11431", - "right": "pull_request:11512", - "accept": false, - "reason": "Different model test PRs; only the compile-test motif matches." + "left": "pull_request:11782", + "right": "pull_request:11783", + "accept": true, + "reason": "Same files and same title; this is effectively the same SD3 LoRA metadata PR presented twice." } ] }, @@ -177733,7 +177730,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 239, "review_unit_count": 272, "status": "reviewed", @@ -177747,8 +177744,8 @@ "pull_request:10316", "pull_request:11449", "pull_request:11492", - "pull_request:11782", - "pull_request:11783", + "pull_request:1346", + "pull_request:1347", "pull_request:2825", "pull_request:2826", "pull_request:3201", @@ -177792,7 +177789,6 @@ "pull_request:9714" ], "soft_pairs": [ - "pull_request:11782|pull_request:11783", "pull_request:8810|pull_request:8864", "pull_request:7797|pull_request:7803", "pull_request:7797|pull_request:7804", @@ -177835,300 +177831,277 @@ "pull_request:6569|pull_request:6655", "pull_request:6569|pull_request:7603", "pull_request:6526|pull_request:6534", - "pull_request:6532|pull_request:6558" + "pull_request:6532|pull_request:6558", + "pull_request:1346|pull_request:1347" ], - "prepared_review_unit_hash": "717e10bb0c087ffc4e4b17d1484cb487922992d9ec1665025d9e0b5d374453b2", + "prepared_review_unit_hash": "eaa2553d0c0493981212581acce95f5bffc345f19891a80ebee2627f7af736e0", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 44, - "serialized_chars": 108616, - "estimated_input_tokens": 27154, - "estimated_eval_tokens": 54564 + "serialized_chars": 107489, + "estimated_input_tokens": 26873, + "estimated_eval_tokens": 54002 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The set mostly splits into a few clear duplicate chains: exact/near-exact reruns of the same PR, replacement PRs for the same feature, and a number of similar-but-distinct example/test updates that should stay separate. The strongest duplicate clusters are the SDXL long weighted prompt pipeline, ControlNet LoRA support, disk offload support, and a few same-file doc/test follow-ups.", - "confidence": 0.86, + "summary": "This set breaks into several unrelated duplicate families: docs-only generator cleanup, core disk-offload/LoRA changes, repeated fast-test size reductions, and multiple training-script compile/inference refactors. Only pairs that target the same concrete file/change were accepted.", + "confidence": 0.84, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 4661 is the best canonical PR: it is the merged final replacement for the SDXL long weighted prompt pipeline work and most directly represents the finished change in that cluster.", + "canonical_pr_reason": "No single cluster-wide canonical PR; the items split into multiple unrelated subclusters. If a representative is needed, 3285 is the strongest core-code candidate because it is the merged implementation of the disk-offload feature in the library code rather than a docs-only or test-only change.", "best_issue_reason": null, - "best_pr_reason": "PR 4661 is the strongest overall representative among these PRs because it is merged, final, and corresponds to a coherent feature rather than a partial draft or a narrow follow-up.", + "best_pr_reason": "3285 is the best overall PR representative among the set because it is a merged, concrete library change with broad utility and clearer implementation value than the smaller doc/test-only edits.", "soft_edge_verdicts": [ - { - "left": "pull_request:11782", - "right": "pull_request:11783", - "accept": true, - "reason": "Same DreamBooth LoRA SD3 feature and same files; this looks like the same PR/change in duplicate form." - }, { "left": "pull_request:8810", "right": "pull_request:8864", "accept": true, - "reason": "Same PAG support for SD ControlNet Img2Img, same implementation area and same concrete change." + "reason": "Same feature and same pipeline family: both add PAG support for SD ControlNet Img2Img, with overlapping pipeline/code files. 8864 is broader, but it is still the same underlying change set." }, { "left": "pull_request:7797", "right": "pull_request:7803", "accept": false, - "reason": "Both shrink fast tests, but they target different pipelines (DDPM vs DDIM) and are separate changes." + "reason": "Both shrink fast tests, but they target different pipelines and code paths (DDPM vs DDIM), so they are not the same concrete change." }, { "left": "pull_request:7797", "right": "pull_request:7804", "accept": false, - "reason": "Different test suites and different model types; only the general goal is shared." + "reason": "Different pipeline/test targets; this is the same optimization pattern, not the same underlying change." }, { "left": "pull_request:7797", "right": "pull_request:7833", "accept": false, - "reason": "Same optimization theme, but this is a different pipeline test with a distinct code path." + "reason": "Different test modules for different audio/image pipelines; too broad to treat as one duplicate change." }, { "left": "pull_request:7797", "right": "pull_request:7846", "accept": false, - "reason": "Different audio pipeline test; not the same underlying bug or change." + "reason": "Same general goal, but a different fast test and different model configuration changes." }, { "left": "pull_request:7803", "right": "pull_request:7804", "accept": false, - "reason": "Different test files/pipelines, so this is not one mergeable change." + "reason": "Separate pipeline tests; they are parallel test-size reductions, not one shared fix." }, { "left": "pull_request:7803", "right": "pull_request:7833", "accept": false, - "reason": "Separate pipeline test reductions, not the same concrete update." + "reason": "Different pipeline families and different test code paths." }, { "left": "pull_request:7803", "right": "pull_request:7846", "accept": false, - "reason": "Different fast test and different model setup." + "reason": "Different test/module; same optimization theme only." }, { "left": "pull_request:7804", "right": "pull_request:7833", "accept": false, - "reason": "Only broadly related test-size reductions; they are distinct PRs." + "reason": "Different fast tests in different pipelines, so not the same concrete bug/change." }, { "left": "pull_request:7804", "right": "pull_request:7846", "accept": false, - "reason": "Different pipelines and test files; not a duplicate change." + "reason": "Same broad test-size-reduction idea, but not the same target or patch." }, { "left": "pull_request:7833", "right": "pull_request:7846", "accept": false, - "reason": "Separate audio pipeline test reductions, not one concrete fix." + "reason": "Different pipeline tests; no shared concrete code path." }, { "left": "pull_request:4629", "right": "pull_request:4659", "accept": true, - "reason": "Same SDXL long weighted prompt pipeline work; 4659 is a replacement of 4629." + "reason": "Same SDXL long weighted prompt feature/revert-rewrite lineage; 4659 is explicitly a replacement of 4629." }, { "left": "pull_request:4629", "right": "pull_request:4661", "accept": true, - "reason": "Same feature and same affected area; 4661 is the final merged version of the same work." + "reason": "Both are the same SDXL long weighted prompt pipeline work, and 4661 is clearly a replacement iteration of the same change." }, { "left": "pull_request:7797", "right": "pull_request:7849", "accept": false, - "reason": "Different pipelines and test files; only the broad goal of shrinking tests matches." + "reason": "Both reduce fast-test model sizes, but for different pipelines and different model setups." }, { "left": "pull_request:7803", "right": "pull_request:7849", "accept": false, - "reason": "Different fast test and different model architecture." + "reason": "Different tests and different model shapes; same maintenance pattern only." }, { "left": "pull_request:7804", "right": "pull_request:7849", "accept": false, - "reason": "Unrelated test suites, so not the same underlying change." + "reason": "Not the same pipeline or test file, just the same speedup pattern." }, { "left": "pull_request:7833", "right": "pull_request:7849", "accept": false, - "reason": "Different pipeline tests with different model reductions." + "reason": "Different model test targets, so not one duplicate change." }, { "left": "pull_request:7846", "right": "pull_request:7849", "accept": false, - "reason": "Different test suite and different pipeline." + "reason": "Same broad goal, but separate test modules and separate patches." }, { "left": "pull_request:9706", "right": "pull_request:9707", "accept": true, - "reason": "Same file and same docstring refactor in AuraFlow transformer docs." + "reason": "Same docstring cleanup in the same transformer file; these are the same documentation change." }, { "left": "pull_request:3201", "right": "pull_request:3265", - "accept": true, - "reason": "Direct revert / re-revert of the same community pipeline change in the same file." + "accept": false, + "reason": "These are opposite-direction follow-ups on the same file (revert vs revert-of-revert), so they are not the same underlying change." }, { "left": "pull_request:8773", "right": "pull_request:8976", "accept": true, - "reason": "Both are the same LoRA base mixin revert work and touch the same core files and functionality." + "reason": "Same revert of the LoraBaseMixin introduction; 8976 is a broader revert of the same change family." }, { "left": "pull_request:8283", "right": "pull_request:8335", "accept": false, - "reason": "Both modularize validation/inference, but they target different training scripts and code paths." + "reason": "Both modularize training inference, but they affect different scripts (base text-to-image LoRA vs SDXL LoRA) and are not the same concrete change." }, { "left": "pull_request:10299", "right": "pull_request:10316", "accept": false, - "reason": "Same documentation pattern, but different pipeline docs and separate edits." + "reason": "Both remove generator from docs examples, but they are separate pipeline docs and not one shared bug fix." }, { "left": "pull_request:11449", "right": "pull_request:11492", "accept": false, - "reason": "Both set LANCZOS defaults, but for different training scripts; too broad to treat as one duplicate." + "reason": "Same interpolation default idea, but applied to different training scripts and code paths." }, { "left": "pull_request:3237", "right": "pull_request:3285", "accept": true, - "reason": "Same disk-offload feature in the same core offload codepath; 3285 looks like the focused implementation behind the broader PR." + "reason": "Same disk-offload feature; 3285 is the focused merged implementation of the same library change that 3237 attempted more broadly." }, { "left": "pull_request:6559", "right": "pull_request:6654", "accept": false, - "reason": "Different training scripts and separate modularization changes." + "reason": "Both refactor training-time validation/inference, but they target different example scripts and are not the same code-path fix." }, { "left": "pull_request:6559", "right": "pull_request:7603", "accept": false, - "reason": "Different example scripts; same general refactor pattern is not enough." + "reason": "Different training examples and different pipelines; only the refactor pattern is shared." }, { "left": "pull_request:6559", "right": "pull_request:8283", "accept": false, - "reason": "Different pipelines and different training examples." + "reason": "Same general modularization pattern, but different example scripts and separate changes." }, { "left": "pull_request:6654", - "right": "pull_request:7603", + "right": "pull_request:6655", "accept": false, - "reason": "Different examples and code paths despite similar validation refactors." + "reason": "Parallel refactors for different Dreambooth variants; not one concrete patch." }, { - "left": "pull_request:6654", - "right": "pull_request:8283", + "left": "pull_request:6569", + "right": "pull_request:6655", "accept": false, - "reason": "Separate training scripts, not one mergeable fix." + "reason": "Different example scripts (InstructPix2Pix SDXL vs Dreambooth LoRA SDXL), so not the same change." }, { - "left": "pull_request:7603", - "right": "pull_request:8283", + "left": "pull_request:6569", + "right": "pull_request:7603", "accept": false, - "reason": "Different scripts and separate inference workflows." + "reason": "Different variants of the example training scripts and different inference flows." }, { "left": "pull_request:6526", "right": "pull_request:6558", "accept": false, - "reason": "Different training scripts; compile-compatibility is the theme, but not the same code change." + "reason": "Both add torch.compile compatibility, but for different training scripts and different unwrap/save logic." }, { "left": "pull_request:4899", "right": "pull_request:5938", "accept": true, - "reason": "Same ControlNet LoRA support work touching the same LoRA/controlnet internals." + "reason": "Same ControlNet LoRA support work; 5938 is the more developed iteration of the same feature." }, { "left": "pull_request:9706", "right": "pull_request:9714", "accept": true, - "reason": "Same docstring refactor in the same file; 9714 is another version of the same change." + "reason": "Same docstring refactor in the same AuraFlow transformer file; these are duplicate documentation edits." }, { "left": "pull_request:2825", "right": "pull_request:2826", "accept": true, - "reason": "Same DreamBooth offset-noise feature in the same script; 2826 is the completed implementation." + "reason": "Both are the Dreambooth offset_noise feature in the same training script; 2826 is the actual implementation of the same change." }, { "left": "pull_request:8916", "right": "pull_request:8932", "accept": false, - "reason": "Different test modules for different model families; only both are coverage additions." - }, - { - "left": "pull_request:6526", - "right": "pull_request:6532", - "accept": false, - "reason": "Both are torch.compile compatibility fixes, but for different training scripts and model paths." + "reason": "Different model test files and different model classes; same coverage-improvement theme only." }, { "left": "pull_request:8973", "right": "pull_request:8985", "accept": true, - "reason": "Same Lumina test-size reduction in the same test file; these are effectively the same fast-test change." + "reason": "Same Lumina fast-test size reduction in the same test file; the exact hyperparameter edits differ, but they target the same underlying test simplification." }, { "left": "pull_request:6556", "right": "pull_request:6577", "accept": false, - "reason": "Different example scripts and different model families; not one concrete change." - }, - { - "left": "pull_request:6569", - "right": "pull_request:6655", - "accept": false, - "reason": "Different training scripts and separate inference/validation refactors." - }, - { - "left": "pull_request:6569", - "right": "pull_request:7603", - "accept": false, - "reason": "Different example pipelines; same refactor pattern is too broad." + "reason": "Different training scripts and different models; not the same concrete compile-compatibility patch." }, { - "left": "pull_request:6526", + "left": "pull_request:6532", "right": "pull_request:6534", "accept": false, - "reason": "Different scripts (ControlNet SDXL vs DreamBooth LoRA SD), so not the same underlying fix." + "reason": "Both are torch.compile compatibility work, but for different Dreambooth script variants and separate code paths." }, { - "left": "pull_request:6532", - "right": "pull_request:6558", + "left": "pull_request:1346", + "right": "pull_request:1347", "accept": false, - "reason": "Separate training scripts and separate compile-compatibility changes." + "reason": "Same README file, but different example snippets and different fixes; they are adjacent maintenance edits, not one duplicate change." } ] }, @@ -178142,7 +178115,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 240, "review_unit_count": 272, "status": "reviewed", @@ -178161,10 +178134,10 @@ "pull_request:11472", "pull_request:11537", "pull_request:11552", + "pull_request:11744", + "pull_request:11782", "pull_request:12269", "pull_request:12454", - "pull_request:1346", - "pull_request:1347", "pull_request:1788", "pull_request:2094", "pull_request:3458", @@ -178202,7 +178175,6 @@ "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", @@ -178237,252 +178209,223 @@ "pull_request:6559|pull_request:6655", "pull_request:6655|pull_request:7603", "pull_request:6655|pull_request:8283", - "pull_request:10268|pull_request:10781" + "pull_request:10268|pull_request:10781", + "pull_request:11744|pull_request:11782" ], - "prepared_review_unit_hash": "244b6941e6f3e5e5734fad2abed774de1323ba02d7c2efa21534421b6291be97", + "prepared_review_unit_hash": "d1bc14d4b91482f7785f35b699db7e770013569ee39972208ffa94d5bc8d26bb", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 36, - "serialized_chars": 103523, - "estimated_input_tokens": 25881, - "estimated_eval_tokens": 52018 + "serialized_chars": 104534, + "estimated_input_tokens": 26134, + "estimated_eval_tokens": 52524 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is really several smaller duplicate subgroups rather than one single bug. I accepted only the pairs that are the same concrete fix/feature on the same code path; most other pairs are just similar maintenance work in different scripts or subsystems.", - "confidence": 0.89, + "summary": "This cluster is mostly a mix of exact duplicate PRs within the same feature, plus many unrelated near-matches that only share a broad theme. I accepted only pairs that clearly target the same concrete file/change and rejected cross-feature or cross-file similarities.", + "confidence": 0.93, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 4502 is the best canonical representative for the large SDXL Reference subcluster: it is the merged, most complete version of the same exact feature added by the other identical PRs.", + "canonical_pr_reason": "PR 4502 is the clearest canonical representative among the exact-duplicate sets: it is merged, well-reviewed, and contains the completed SDXL Reference implementation that 4499/4500/4501 mirror.", "best_issue_reason": null, - "best_pr_reason": "PR 4502 is the strongest overall representative here because it is merged, has the most discussion/inbound references, and sits at the center of the largest exact-duplicate group in this cluster.", + "best_pr_reason": "PR 4502 is the best single representative overall because it is a merged, complete PR with a clear code+docs feature and strong duplicate evidence from identical siblings.", "soft_edge_verdicts": [ - { - "left": "pull_request:1346", - "right": "pull_request:1347", - "accept": false, - "reason": "Both touch the same README, but they fix different example snippets and different issues; not the same underlying change." - }, { "left": "pull_request:6207", "right": "pull_request:6266", - "accept": false, - "reason": "Both are LoRA-script cleanup, but they remove different deprecated helpers from different training scripts; too broad to merge as one duplicate." + "accept": true, + "reason": "Same example script and same LoRA cleanup change; 6266 looks like a duplicate/follow-up of 6207." }, { "left": "pull_request:6534", "right": "pull_request:6558", "accept": false, - "reason": "Same torch.compile theme, but they target different training scripts and code paths, so they are not the same fix." + "reason": "Different training scripts and different model families; same torch.compile theme but not the same concrete change." }, { "left": "pull_request:1788", "right": "pull_request:2094", "accept": true, - "reason": "Both fix the DDIM scheduler handling for prediction_type='sample' in the same code path." + "reason": "Both fix the DDIM prediction_type='sample' scheduler path in the same file; same underlying bug." }, { "left": "pull_request:10386", "right": "pull_request:10387", "accept": true, - "reason": "Same title, same file, same new example; these are effectively duplicate submissions of the same loading-support change." + "reason": "Same new example file and same data multi-process loading change; effectively identical PRs." }, { "left": "pull_request:3458", "right": "pull_request:3460", "accept": true, - "reason": "Both implement the same inpaint LoRA scale/cross-attention support in the same pipeline, with 3460 adding the supporting tests/import cleanup." + "reason": "Same inpaint lora-scale feature in the same code path; 3460 is the test/cleanup follow-up to the same change." }, { "left": "pull_request:4499", "right": "pull_request:4500", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:4499", "right": "pull_request:4501", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:4499", "right": "pull_request:4502", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set; 4502 is the merged final version." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:4500", "right": "pull_request:4501", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:4500", "right": "pull_request:4502", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set; 4502 is the merged final version." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:4501", "right": "pull_request:4502", "accept": true, - "reason": "Same SDXL reference_attn/reference_adain feature, same files, same change set; 4502 is the merged final version." + "reason": "Same SDXL Reference feature, same files, same implementation scope." }, { "left": "pull_request:6942", "right": "pull_request:6944", "accept": false, - "reason": "Both are model-card standardization work, but they target different training scripts and different model families." + "reason": "Both are model-card standardization PRs, but they target different example scripts and different training flows." }, { "left": "pull_request:5833", "right": "pull_request:5834", "accept": false, - "reason": "These are both single-file/import related, but they fix different paths and different problems; not the same concrete bug." + "reason": "Unrelated changes: one is PixArt docs, the other is a single-file import fix for ControlNet." }, { "left": "pull_request:6940", "right": "pull_request:6944", "accept": false, - "reason": "Both standardize model cards, but one is for plain T2I LoRA and the other is for SDXL LoRA; separate changes." + "reason": "Similar model-card cleanup theme, but different scripts and different feature areas." }, { "left": "pull_request:6942", "right": "pull_request:6947", "accept": false, - "reason": "Same general model-card cleanup theme, but they apply to different scripts and adapter types, not one shared change." + "reason": "Different examples and different model-card contexts; not the same underlying change." }, { "left": "pull_request:6944", "right": "pull_request:6947", "accept": false, - "reason": "Different training scripts and model-card targets; only the broad maintenance area overlaps." + "reason": "Different example scripts; only the general model-card cleanup theme is shared." }, { "left": "pull_request:7797", "right": "pull_request:8973", "accept": false, - "reason": "Both reduce fast-test model sizes, but they are for different pipeline tests and unrelated code paths." + "reason": "Both reduce test model sizes, but they are unrelated test files and different pipelines." }, { "left": "pull_request:7803", "right": "pull_request:8973", "accept": false, - "reason": "Different test files and models; same broad test-speed theme only." + "reason": "Different pipeline tests; same broad testing theme only." }, { "left": "pull_request:7804", "right": "pull_request:8973", "accept": false, - "reason": "Different test files and models; same broad test-speed theme only." + "reason": "Different pipeline tests; same broad testing theme only." }, { "left": "pull_request:7833", "right": "pull_request:8973", "accept": false, - "reason": "Different test files and models; same broad test-speed theme only." + "reason": "Different pipeline tests; same broad testing theme only." }, { "left": "pull_request:11421", "right": "pull_request:11472", "accept": false, - "reason": "Same interpolation default idea, but applied to different training scripts and pipelines; not one concrete change." + "reason": "Similar default interpolation tweak, but they are separate training scripts and separate code changes." }, { "left": "pull_request:11451", "right": "pull_request:11552", "accept": false, - "reason": "Both add torch.compile tests, but for different model classes and test files." + "reason": "Different models and different test files; both add torch.compile coverage but not the same bug or change." }, { "left": "pull_request:10268", "right": "pull_request:9083", "accept": false, - "reason": "Both add single-file support, but for different models (Mochi vs Flux), so these are distinct features." + "reason": "Both add single-file support, but for different transformers and different model checkpoints." }, { "left": "pull_request:5299", "right": "pull_request:5391", "accept": false, - "reason": "Both improve docs/type hints, but they touch different files and a broad documentation sweep rather than one shared bug." + "reason": "Both are docs/typehint cleanups, but they touch different files and broader scopes; not one shared change." }, { "left": "pull_request:5312", "right": "pull_request:5391", "accept": false, - "reason": "Same broad docs/type-hint cleanup, but not the same concrete change set or code path." + "reason": "Different file sets and different cleanup scope; only the general docs/typehint theme matches." }, { "left": "pull_request:12269", "right": "pull_request:12454", "accept": true, - "reason": "Both add the same Flux Kontext modular pipeline support across the same modular-pipeline files." + "reason": "Same Flux Kontext modular t2i/i2i feature in the same modular pipeline area; clearly the same underlying change." }, { "left": "pull_request:11451", "right": "pull_request:11537", "accept": false, - "reason": "One adds a Wan compile test and the other targets UNet2DConditionModel; same testing category only." + "reason": "Different models and different tests; same torch.compile theme only." }, { "left": "pull_request:6559", "right": "pull_request:8335", "accept": false, - "reason": "Both modularize training inference, but for different scripts and generations; not the same underlying fix." + "reason": "Both modularize training-time inference, but for different scripts and different pipelines." }, { "left": "pull_request:6654", "right": "pull_request:8335", "accept": false, - "reason": "Different training script and pipeline family; related refactor pattern only." + "reason": "Different training scripts and different example flows; not the same feature." }, { "left": "pull_request:6655", "right": "pull_request:8335", "accept": false, - "reason": "Different training script and pipeline family; related refactor pattern only." + "reason": "Different training scripts and different example flows; not the same feature." }, { "left": "pull_request:9706", "right": "pull_request:9715", "accept": true, - "reason": "Same AuraFlow docstring refactor in the same file; this is the same underlying documentation change." - }, - { - "left": "pull_request:6559", - "right": "pull_request:6655", - "accept": false, - "reason": "Both are training-script inference refactors, but they affect different model families and code paths." - }, - { - "left": "pull_request:6655", - "right": "pull_request:7603", - "accept": false, - "reason": "Same broad modularization pattern, but different scripts and different inference flows." - }, - { - "left": "pull_request:6655", - "right": "pull_request:8283", - "accept": false, - "reason": "Same broad modularization pattern, but different scripts and different inference flows." - }, - { - "left": "pull_request:10268", - "right": "pull_request:10781", - "accept": false, - "reason": "Both are single-file support work, but for different transformer models and different code changes." + "reason": "Same auraflow_transformer_2d docstring refactor in the same file; identical scope." } ] }, @@ -178496,7 +178439,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 241, "review_unit_count": 272, "status": "reviewed", @@ -178516,11 +178459,11 @@ "pull_request:11492", "pull_request:11537", "pull_request:11552", - "pull_request:11744", - "pull_request:11782", "pull_request:121", + "pull_request:12307", "pull_request:12387", "pull_request:12439", + "pull_request:13115", "pull_request:2046", "pull_request:252", "pull_request:2602", @@ -178555,7 +178498,6 @@ "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", @@ -178582,198 +178524,205 @@ "pull_request:2046|pull_request:2602", "pull_request:10504|pull_request:10505", "pull_request:11407|pull_request:11476", - "pull_request:121|pull_request:252" + "pull_request:121|pull_request:252", + "pull_request:12307|pull_request:13115" ], - "prepared_review_unit_hash": "fb6af76d9774c6a6c613965551bc7d0d9ffdc0cb7175bc8eb26242dfa5fe7f96", + "prepared_review_unit_hash": "3e21f0b7cbe33b4e663c0004ad1dc71c88be8a85a8fbed271fad3ac3ec86d0bf", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 28, - "serialized_chars": 101050, - "estimated_input_tokens": 25263, - "estimated_eval_tokens": 50782 + "serialized_chars": 102233, + "estimated_input_tokens": 25559, + "estimated_eval_tokens": 51374 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a loose collection of similarly-shaped PRs (test cleanups, training-script refactors, docs tweaks) rather than true duplicates. I only accepted the exact or near-exact same-change pairs: the repeated lpw_stable_diffusion revert/update cycle, the identical print-removal test PRs, and the shared fp16 LoRA upcasting fix.", - "confidence": 0.79, + "summary": "This cluster is mostly loose topical similarity, not one duplicate set. The only clear duplicate is the identical test-print cleanup PR pair (10504/10505); the rest are related-but-distinct refactors, docs updates, or model/script-specific fixes.", + "confidence": 0.62, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 10505 is the cleanest canonical representative: it is a merged copy of the exact same test print-removal change as 10504, with identical touched files and diff intent.", + "canonical_pr_reason": "PR 10505 is the exact duplicate of 10504, with the same test-only print removals and no substantive divergence; it is also the merged copy.", "best_issue_reason": null, - "best_pr_reason": "PR 10505 is the strongest overall representative because it is an exact duplicate of 10504, already merged, and the change is unambiguous and self-contained.", + "best_pr_reason": "PR 10505 is the cleanest representative of the only true duplicate pair in the set because it is identical to 10504 and already merged.", "soft_edge_verdicts": [ - { - "left": "pull_request:11744", - "right": "pull_request:11782", - "accept": false, - "reason": "Both add LoRA metadata handling to DreamBooth-related scripts, but Sana and SD3 are separate model-specific code paths; this is similar work, not the same change." - }, { "left": "pull_request:6944", "right": "pull_request:7615", "accept": false, - "reason": "Both standardize model-card handling, but they target different training scripts and different implementations; too broad to treat as duplicates." + "reason": "Both are model-card cleanup, but they target different training scripts and different edits; not the same concrete change." }, { "left": "pull_request:2602", "right": "pull_request:3952", "accept": false, - "reason": "These are unrelated temporary dependency-pin test PRs for different huggingface-hub RC versions, not the same bug or change." + "reason": "Both pin huggingface-hub for release testing, but they are different version-test PRs and not the same change." }, { "left": "pull_request:11537", "right": "pull_request:11552", "accept": false, - "reason": "Both add torch.compile tests, but for different models and test files; same chore pattern, not the same underlying artifact." + "reason": "Both add torch.compile tests, but for different models and code paths; too broad to treat as duplicate." }, { "left": "pull_request:10288", "right": "pull_request:9083", "accept": false, - "reason": "Both add Flux single-file support, but for different model variants and code paths (Canny/Depth/Fill vs Transformer)." + "reason": "Both are Flux single-file work, but one adds Canny/Depth/Fill mappings while the other adds transformer loading/docs; distinct features." }, { "left": "pull_request:6526", "right": "pull_request:6555", "accept": false, - "reason": "Both make training scripts torch.compile-compatible, but they patch different scripts and different unwrap/save paths; not the same PR." + "reason": "Both address torch.compile compatibility, but in different training scripts and save/load hooks; not one concrete fix." }, { "left": "pull_request:6532", "right": "pull_request:6577", "accept": false, - "reason": "Different training scripts and different compile-compatibility fixes; similar subsystem, but not the same change." + "reason": "Same compile-compatibility theme, but these are different example scripts with different unwrap/load logic." }, { "left": "pull_request:9257", "right": "pull_request:9473", "accept": false, - "reason": "Both touch Flux DreamBooth code, but one changes prompt/tokenization flow and the other fixes Prodigy learning-rate handling; distinct bugs." + "reason": "These touch Flux dreambooth code, but the changes are different bug fixes in different functions/files." }, { "left": "pull_request:12387", "right": "pull_request:12439", "accept": false, - "reason": "Both concern attention backends, but they add different backend support and different core changes; too broad to merge as duplicates." + "reason": "Both add kernel-backed attention support, but for different backends and different changes; not mergeable as one duplicate." }, { "left": "pull_request:3197", "right": "pull_request:3201", "accept": false, - "reason": "3201 is a revert of 3197, so the changes are opposite, not duplicates." + "reason": "One is the original lpw pipeline update and the other is its revert; opposite intent, not a duplicate change." }, { "left": "pull_request:3197", "right": "pull_request:3265", - "accept": true, - "reason": "3265 restores the exact same lpw_stable_diffusion update as 3197; same file and same change set." + "accept": false, + "reason": "One is the original lpw pipeline update and the other is a revert-of-revert; same file, different history and intent." }, { "left": "pull_request:6569", "right": "pull_request:8335", "accept": false, - "reason": "Both add validation/inference modularization, but in different example scripts with different logic; not the same code-path fix." + "reason": "Both modularize training-time inference, but they are different training examples with different code paths." }, { "left": "pull_request:6119", "right": "pull_request:6231", - "accept": true, - "reason": "Both apply the same fp16 LoRA fix pattern: upcast trainable parameters to fp32 to avoid gradient-scaling issues in LoRA training scripts." + "accept": false, + "reason": "Both fix fp16 LoRA training issues, but in different scripts and with different surrounding code; not the same change." }, { "left": "pull_request:11471", "right": "pull_request:11492", "accept": false, - "reason": "Same interpolation-default idea, but implemented in different DreamBooth training scripts; related refactor, not a duplicate change." + "reason": "Very similar interpolation updates, but they target different scripts and are separate concrete code paths." }, { "left": "pull_request:7797", "right": "pull_request:8985", "accept": false, - "reason": "These are fast-test size reductions for different pipelines; same optimization theme, but not the same test or bug." + "reason": "These reduce dummy model sizes in different test suites; same motivation, but not the same bug or patch." }, { "left": "pull_request:7803", "right": "pull_request:8985", "accept": false, - "reason": "Different pipeline tests and different model-size reductions; not the same concrete change." + "reason": "Different test suites and model configs; this is not a duplicate of the Lumina test change." }, { "left": "pull_request:7804", "right": "pull_request:8985", "accept": false, - "reason": "Different amused vs lumina test simplifications; broad test-speedup theme only." + "reason": "Amused test-size reduction and Lumina test-size reduction are unrelated test-only changes." }, { "left": "pull_request:7833", "right": "pull_request:8985", "accept": false, - "reason": "Different audio vs lumina test reductions; not the same underlying artifact." + "reason": "AudioLDM and Lumina test reductions are separate test maintenance changes, not one underlying fix." }, { "left": "pull_request:11421", "right": "pull_request:11471", "accept": false, - "reason": "Both set LANCZOS defaults, but in different training scripts and contexts; similar refactor, not a duplicate." + "reason": "Same interpolation-mode idea, but different training scripts and not enough evidence of a single shared patch." }, { "left": "pull_request:6550", "right": "pull_request:6556", "accept": false, - "reason": "Both address torch.compile compatibility, but for different SD/SDXL training scripts and different code paths." + "reason": "Both are torch.compile compatibility changes for SDXL, but they affect different training scripts and code paths." }, { "left": "pull_request:6559", "right": "pull_request:6569", "accept": false, - "reason": "Both are training/inference workflow refactors, but they touch different scripts and solve different behavior." + "reason": "Both are inference-in-training refactors, but for different examples and not the same underlying change." + }, + { + "left": "pull_request:6569", + "right": "pull_request:8335", + "accept": false, + "reason": "Different example scripts and different refactor scopes; not a duplicate change." }, { "left": "pull_request:6569", "right": "pull_request:6654", "accept": false, - "reason": "Different example scripts and different inference modularization changes; same family, not same PR." + "reason": "Both modularize validation/inference, but they target different training scripts and plumbing." }, { "left": "pull_request:9592", "right": "pull_request:9707", "accept": false, - "reason": "Both are docstring cleanup PRs, but for unrelated modules and separate changes." + "reason": "Both are docstring refactors, but they touch different files and functions; not the same patch." }, { "left": "pull_request:2046", "right": "pull_request:2602", "accept": false, - "reason": "These are different temporary hub version test bumps at different versions, not duplicates." + "reason": "Both test dependency pinning, but to different hub versions and at different points in time." }, { "left": "pull_request:10504", "right": "pull_request:10505", "accept": true, - "reason": "These are effectively identical print-removal test PRs across the same files, with no meaningful change differences." + "reason": "Exact same test-only print removals in the same files; 10505 is the merged duplicate of 10504." }, { "left": "pull_request:11407", "right": "pull_request:11476", "accept": false, - "reason": "Both are typo-only sweeps, but across different sets of files and unrelated strings/comments." + "reason": "Both are typo cleanup PRs, but they cover different file sets and unrelated text changes." }, { "left": "pull_request:121", "right": "pull_request:252", "accept": false, - "reason": "Both update the README, but the content and scope are different example additions rather than the same change." + "reason": "Both update README examples, but they are different documentation expansions and not the same content." + }, + { + "left": "pull_request:12307", + "right": "pull_request:13115", + "accept": false, + "reason": "Both are modular pipeline fixes, but 12307 is a broad utility refactor while 13115 is a small export/default-blocks tweak." } ] }, @@ -178787,7 +178736,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 242, "review_unit_count": 272, "status": "reviewed", @@ -178803,11 +178752,11 @@ "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:13341", + "pull_request:13342", "pull_request:2812", "pull_request:2813", "pull_request:326", @@ -178847,7 +178796,6 @@ "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", @@ -178884,264 +178832,314 @@ "pull_request:1157|pull_request:1186", "pull_request:11920|pull_request:11955", "pull_request:13254|pull_request:13315", - "pull_request:13254|pull_request:13335" + "pull_request:13254|pull_request:13335", + "pull_request:13254|pull_request:13341", + "pull_request:13254|pull_request:13342", + "pull_request:13315|pull_request:13335", + "pull_request:13315|pull_request:13341", + "pull_request:13315|pull_request:13342", + "pull_request:13335|pull_request:13341", + "pull_request:13335|pull_request:13342", + "pull_request:13341|pull_request:13342" ], - "prepared_review_unit_hash": "155add5443c79604821105006f29fa128234062fd220ba1907f7aa310ba0b4aa", + "prepared_review_unit_hash": "c526fd2b1db65bb59b8457140d6ff860bb190bc86d3ef767e8da4936e5097568", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 38, - "serialized_chars": 110612, - "estimated_input_tokens": 27653, - "estimated_eval_tokens": 55562 + "soft_pair_count": 45, + "serialized_chars": 111721, + "estimated_input_tokens": 27931, + "estimated_eval_tokens": 56118 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster actually contains several unrelated subtopics (modular pipeline refactors, model-card standardization, translation/docs updates, test slices, etc.). I only accepted soft edges where the diffs look like the same concrete change or a clear rework of the same file path; most lookalike PRs are distinct follow-up changes and should stay separate.", - "confidence": 0.84, + "summary": "This isn\u2019t one coherent duplicate cluster; it\u2019s several small same-change pairs mixed together with many unrelated refactors/docs updates. I\u2019d only merge the near-identical reposts or same-file fixes, and keep the broader cross-file/model-variant changes separate.", + "confidence": 0.57, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR spans the whole set; the items split into multiple unrelated duplicate subclusters. If forced to anchor on one, the PAG controlnet PR pair is the clearest true duplicate cluster.", + "canonical_pr_reason": "The cluster is heterogeneous, so there is no single canonical PR for all items; if one anchor is needed, PR 8820 is the strongest because it is the most complete merged PAG-controlnet implementation.", "best_issue_reason": null, - "best_pr_reason": "8820 is the strongest single PR anchor among the true duplicate pairs: it is the more complete, merged version of the PAG controlnet change, including code, docs, and tests.", + "best_pr_reason": "PR 8820 is the best single anchor among the accepted pairs: it\u2019s merged and includes the core PAG controlnet code plus docs/tests, making it more complete than the narrower sibling PR.", "soft_edge_verdicts": [ - { - "left": "pull_request:12307", - "right": "pull_request:13115", - "accept": false, - "reason": "Related modular-pipeline cleanup, but not the same concrete change; 13115 is a follow-up export tweak, not a duplicate of the larger 12307 fix." - }, { "left": "pull_request:2812", "right": "pull_request:2813", "accept": true, - "reason": "Same doc update to the same files; the diffs are effectively identical." + "reason": "Same Stable UnCLIP docs update with effectively identical diff and filenames; clearly the same change." }, { "left": "pull_request:3554", "right": "pull_request:3555", "accept": true, - "reason": "Same generated example/script bundle with the same files and content; clearly duplicated." + "reason": "These are the same textual inversion/moreh mirror patch set with identical file set and intent." }, { "left": "pull_request:8816", "right": "pull_request:8820", "accept": true, - "reason": "Same PAG controlnet change on the same code path; 8820 is the fuller follow-up with docs/tests." + "reason": "Same PAG controlnet addition for SD1.5; 8820 is the more complete follow-up with the same core code-path plus docs/tests." }, { "left": "pull_request:12142", "right": "pull_request:12143", "accept": true, - "reason": "Same bf16/fp16 fix in `pipeline_wan_vace.py` on the same line; 12143 just packages it with extra test changes." + "reason": "Both patch the same bf16/fp16 mask-cast issue in pipeline_wan_vace.py; one PR just adds test coverage." }, { "left": "pull_request:326", "right": "pull_request:327", "accept": true, - "reason": "Same PNDM typing change in the same pipeline file; 327 is a narrower rework of the same edit." + "reason": "Both are the same PNDM pipeline typing/refactor change and could plausibly be merged into one PR." }, { "left": "pull_request:6908", "right": "pull_request:6910", "accept": false, - "reason": "Both are model-card standardizations, but they touch different training scripts and are not the same underlying change." + "reason": "Same broad model-card standardization theme, but different scripts and model variants, so not the same concrete change." }, { "left": "pull_request:6909", "right": "pull_request:6910", "accept": false, - "reason": "Different ControlNet training scripts; similar cleanup pattern, but not a duplicate change." + "reason": "Different ControlNet training targets (flax vs torch) and different files; shared pattern is too broad for duplicate PR triage." }, { "left": "pull_request:6939", "right": "pull_request:6940", "accept": false, - "reason": "Same style of model-card refactor, but applied to different scripts and different outputs." + "reason": "Both standardize model cards, but they touch different training scripts and are not the same PR change." }, { "left": "pull_request:6262", "right": "pull_request:6263", "accept": false, - "reason": "Both move different Stable Diffusion variants out into separate packages; same refactor pattern, but distinct pipelines." + "reason": "Both move different pipelines out of stable_diffusion, but they are separate features/code paths." }, { "left": "pull_request:6262", "right": "pull_request:6264", "accept": false, - "reason": "Different pipeline split-outs (Panorama vs SAG), so not the same change." + "reason": "Different pipeline moves (panorama vs SAG); same refactor family, not the same underlying change." }, { "left": "pull_request:6263", "right": "pull_request:6264", "accept": false, - "reason": "Different pipeline split-outs with separate targets; related refactor family, not duplicates." + "reason": "Different pipeline extractions from stable_diffusion, so they should not be merged as duplicates." }, { "left": "pull_request:6908", "right": "pull_request:6909", "accept": false, - "reason": "Same standardization theme, but different training scripts and file targets." + "reason": "Same model-card cleanup pattern, but one is SDXL and the other is flax; not the same concrete fix." }, { "left": "pull_request:6939", "right": "pull_request:6942", "accept": false, - "reason": "Both standardize model cards, but for different scripts (T2I vs SDXL) and different metadata." + "reason": "Both are model-card standardizations, but for different training scripts and model types." }, { "left": "pull_request:6939", "right": "pull_request:6944", "accept": false, - "reason": "Different LoRA vs base training scripts; similar cleanup, not the same PR." + "reason": "Same broad cleanup theme, but different LoRA script and different implementation details." }, { "left": "pull_request:4022", "right": "pull_request:4684", "accept": false, - "reason": "Both are Korean doc updates, but they are separate translation passes with different content and pages." + "reason": "Both are Korean docs updates, but they are separate translation passes with different content and scope." }, { "left": "pull_request:5828", "right": "pull_request:7746", "accept": false, - "reason": "Different tests and different bugs; one is a no-grad annotation, the other fixes VAE tiling dtype." + "reason": "Both touch consistency-decoder tests, but they fix different test paths and do not look like the same bug fix." }, { "left": "pull_request:6261", "right": "pull_request:6262", "accept": false, - "reason": "Same refactor family, but different pipelines and different code paths." + "reason": "Related refactors, but they split different stable_diffusion subpipelines and are not the same PR change." }, { "left": "pull_request:6261", "right": "pull_request:6263", "accept": false, - "reason": "Different moved pipeline modules; not duplicate changes." + "reason": "Different pipeline extractions; same broad cleanup theme only." }, { "left": "pull_request:6261", "right": "pull_request:6264", "accept": false, - "reason": "Different moved pipeline modules; same broad refactor, not the same PR." + "reason": "Different subpipelines and code paths, so not duplicates." }, { "left": "pull_request:6262", "right": "pull_request:6267", "accept": false, - "reason": "Both relocate pipelines, but they target different variants and files." + "reason": "Both move code out of stable_diffusion, but one is panorama and the other is k-diffusion; separate changes." }, { "left": "pull_request:6263", "right": "pull_request:6267", "accept": false, - "reason": "Different pipeline refactors; similar packaging work, not duplicates." + "reason": "Different pipelines and different extraction work; not the same underlying patch." }, { "left": "pull_request:6264", "right": "pull_request:6267", "accept": false, - "reason": "Different moved pipeline targets; not the same underlying change." + "reason": "Different pipeline move/refactor targets, so they should stay separate." }, { "left": "pull_request:7903", "right": "pull_request:8946", "accept": false, - "reason": "Unrelated test changes in different areas; no shared concrete bug/change." + "reason": "Unrelated test changes: video-processor API validation versus model download request assertions." }, { "left": "pull_request:8064", "right": "pull_request:8946", "accept": false, - "reason": "Different model/test areas and different intent; not duplicates." + "reason": "Both are test-only PRs, but they target different subsystems and failures." }, { "left": "pull_request:8426", "right": "pull_request:8427", - "accept": false, - "reason": "Both touch the same workflow file, but one changes install steps while the other adds debug output; separate fixes." + "accept": true, + "reason": "Same mirror_community_pipeline workflow fix; the second is just a small follow-up of the first." }, { "left": "pull_request:6940", "right": "pull_request:6942", "accept": false, - "reason": "Similar model-card standardization, but different scripts and different training contexts." + "reason": "Both standardize model cards, but they modify different text-to-image scripts and are not the same concrete change." }, { "left": "pull_request:7692", "right": "pull_request:7876", "accept": true, - "reason": "Same community PAG pipeline behavior change; 7876 is a reworked version of the same fix." + "reason": "These are the same PAG community pipeline change reworked/rebased on the same file and code path." }, { "left": "pull_request:9592", "right": "pull_request:9593", "accept": false, - "reason": "Docstring refactors in different files; same style, different code." + "reason": "Both are docstring refactors, but for unrelated files and classes; same style only." }, { "left": "pull_request:6261", "right": "pull_request:6267", "accept": false, - "reason": "Both are modular pipeline refactors, but they move different pipelines and add different exports." + "reason": "Both are stable_diffusion refactors, but they move different pipeline modules and are not duplicates." }, { "left": "pull_request:6265", "right": "pull_request:6267", "accept": false, - "reason": "Different stable-diffusion subpipeline moves; related but not duplicate." + "reason": "Different pipeline extractions from stable_diffusion; same broad refactor family only." }, { "left": "pull_request:6939", "right": "pull_request:6947", "accept": false, - "reason": "Both standardize model cards, but for different pipelines and different code paths." + "reason": "Same model-card standardization theme, but different example scripts and targets." }, { "left": "pull_request:6940", - "right": "pull_request:6947", + "right": "pull_request:6942", "accept": false, - "reason": "Different training scripts and different model-card metadata; not the same change." + "reason": "Different training scripts (LoRA vs SDXL) and different model-card content; not the same PR." }, { "left": "pull_request:9591", "right": "pull_request:9707", "accept": false, - "reason": "Different docstring cleanups in different models; no duplicate bug/change." + "reason": "Both are docstring cleanup PRs, but they touch unrelated code and are not the same change." }, { "left": "pull_request:1157", "right": "pull_request:1186", "accept": false, - "reason": "Similar Flax training-script fixes, but they target different examples and separate code paths." + "reason": "Both mention report_to/push_to_hub fixes, but they are different Flax training scripts and separate patches." }, { "left": "pull_request:11920", "right": "pull_request:11955", "accept": false, - "reason": "Different model test-slice additions for different pipelines; same pattern, not duplicates." + "reason": "Both add test slices, but for different model families (Wan vs Cosmos) and different files." }, { "left": "pull_request:13254", "right": "pull_request:13315", "accept": false, - "reason": "Different transformer test refactors for different models; not the same underlying change." + "reason": "Both are transformer test refactors, but they target different model test suites and code paths." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13335", + "accept": false, + "reason": "Different model test refactors; same CI cleanup theme only." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13341", + "accept": false, + "reason": "Different transformer test suites, so not the same underlying change." }, { "left": "pull_request:13254", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model-specific test refactors; not mergeable as one duplicate PR." + }, + { + "left": "pull_request:13315", "right": "pull_request:13335", "accept": false, - "reason": "Different transformer test refactors for different models; related CI cleanup, not duplicates." + "reason": "Same broad refactor style, but different model families and test files." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13341", + "accept": false, + "reason": "Different transformer test suites; not the same code-path change." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model-specific test refactors, so they should stay separate." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13341", + "accept": false, + "reason": "Separate refactors for different transformer models; same theme only." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model test suites and different changes; not duplicates." + }, + { + "left": "pull_request:13341", + "right": "pull_request:13342", + "accept": false, + "reason": "Both are Bria/Hunyuan-era transformer test refactors, but they affect different model suites and code paths." } ] }, @@ -179155,7 +179153,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 243, "review_unit_count": 272, "status": "reviewed", @@ -179215,14 +179213,6 @@ "pull_request:9715" ], "soft_pairs": [ - "pull_request:13254|pull_request:13341", - "pull_request:13254|pull_request:13342", - "pull_request:13315|pull_request:13335", - "pull_request:13315|pull_request:13341", - "pull_request:13315|pull_request:13342", - "pull_request:13335|pull_request:13341", - "pull_request:13335|pull_request:13342", - "pull_request:13341|pull_request:13342", "pull_request:5104|pull_request:5105", "pull_request:5239|pull_request:5242", "pull_request:7903|pull_request:8064", @@ -179263,274 +179253,256 @@ "pull_request:10183|pull_request:10991", "pull_request:10183|pull_request:9083" ], - "prepared_review_unit_hash": "dcabbfaa1e574170cc1957a5995e1b933a2d4c6974ca4fd3a1d715113e90da69", + "prepared_review_unit_hash": "fc1dd8c91ecfe286d413ffc83ec20788f5951b0445d77d4f410023741d789331", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, "item_count": 48, - "soft_pair_count": 47, - "serialized_chars": 107733, - "estimated_input_tokens": 26934, - "estimated_eval_tokens": 54124 + "soft_pair_count": 39, + "serialized_chars": 105357, + "estimated_input_tokens": 26340, + "estimated_eval_tokens": 52936 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly a heterogeneous maintenance cluster: many PRs are similar in style but apply to different models, pipelines, or example scripts. The only clear duplicate-looking subgroup is the docs link cleanup, especially the Stable UnCLIP and Hunyuan docs fixes.", - "confidence": 0.93, + "summary": "This cluster is heterogeneous: it contains a few true near-duplicates within small subtopics, but most items are separate feature, docs, or test refactors across different models and pipelines. There is no single PR that cleanly represents the whole cluster.", + "confidence": 0.66, "canonical_issue_reason": null, - "canonical_pr_reason": "10434 is the strongest cluster representative: it is issue-linked, broad, and covers the same docs-link cleanup theme across many pages, making it the best canonical PR in this mixed set.", + "canonical_pr_reason": "No single canonical PR for the full cluster; the items split into separate subclusters (DreamBooth timestep bias, torch_xla support, Stable UnCLIP docs, single-file loading, test refactors), so one PR would misrepresent most of the group.", "best_issue_reason": null, - "best_pr_reason": "10434 has the clearest scope and broadest coverage among the merged PRs here, so it is the best overall representative even though the cluster contains several unrelated subfamilies.", + "best_pr_reason": "No global best PR. The cluster is too broad and mixed to use one representative artifact without losing important distinctions between unrelated subgroups.", "soft_edge_verdicts": [ - { - "left": "pull_request:13254", - "right": "pull_request:13341", - "accept": false, - "reason": "Same refactor style, but different model test files (LTX vs Bria); not the same change." - }, - { - "left": "pull_request:13254", - "right": "pull_request:13342", - "accept": false, - "reason": "Different model families and files; both are test refactors, not duplicates." - }, - { - "left": "pull_request:13315", - "right": "pull_request:13335", - "accept": false, - "reason": "Different models (Sana vs Cosmos); similar refactor pattern only." - }, - { - "left": "pull_request:13315", - "right": "pull_request:13341", - "accept": false, - "reason": "Different test targets and code paths; not the same underlying change." - }, - { - "left": "pull_request:13315", - "right": "pull_request:13342", - "accept": false, - "reason": "Different models/pipelines; only the CI refactor pattern matches." - }, - { - "left": "pull_request:13335", - "right": "pull_request:13341", - "accept": false, - "reason": "Different model test files; same refactor family, not a duplicate change." - }, - { - "left": "pull_request:13335", - "right": "pull_request:13342", - "accept": false, - "reason": "Different model targets and test code; not the same PR." - }, - { - "left": "pull_request:13341", - "right": "pull_request:13342", - "accept": false, - "reason": "Different model families and files; too broad to treat as the same change." - }, { "left": "pull_request:5104", "right": "pull_request:5105", - "accept": false, - "reason": "Same idea, but separate training scripts (SDXL LoRA vs base DreamBooth); not one concrete code-path change." + "accept": true, + "reason": "Same feature change (timestep bias args) applied to the two DreamBooth training scripts; these could plausibly have been one PR." }, { "left": "pull_request:5239", "right": "pull_request:5242", "accept": false, - "reason": "Same class, but different methods (encode vs decode) and separate docstring fixes." + "reason": "Both are docstrings, but they cover different methods (encode vs decode) and are separate API cleanups, not the same concrete change." }, { "left": "pull_request:7903", "right": "pull_request:8064", "accept": false, - "reason": "Unrelated work: one is a video processor test PR, the other is a Marigold pipeline addition/test PR." + "reason": "Different pipelines and unrelated test additions; this is not the same underlying bug/change." }, { "left": "pull_request:13069", "right": "pull_request:13071", "accept": false, - "reason": "Different transformer models and different test refactors; same CI pattern only." + "reason": "Different model test refactors; same general test area, but not the same concrete change." }, { "left": "pull_request:6907", "right": "pull_request:6908", "accept": false, - "reason": "Both are ControlNet model-card cleanups, but for different example scripts and scopes." + "reason": "Both standardize model cards, but for different training scripts and variants; this is broad consistency work, not one duplicate change." }, { "left": "pull_request:6907", "right": "pull_request:6909", "accept": false, - "reason": "Different training entrypoints; same documentation standardization theme only." + "reason": "Same rationale: related ControlNet docs refactors, but different scripts and code paths." }, { "left": "pull_request:6907", "right": "pull_request:6910", "accept": false, - "reason": "Same broad docs work, but different script and change set; not duplicates." + "reason": "Related ControlNet model-card cleanup, but not the same artifact or concrete fix." }, { "left": "pull_request:10109", "right": "pull_request:10365", - "accept": false, - "reason": "Both add torch_xla support, but to different pipelines and code paths." + "accept": true, + "reason": "Both add the same torch_xla mark_step support pattern to pipelines; this is the same runtime fix applied to two concrete code paths." }, { "left": "pull_request:10183", "right": "pull_request:10268", "accept": false, - "reason": "Different single-file loaders for different models; same loader subsystem only." + "reason": "Both are single-file support, but for different models and mappings; too broad to treat as one duplicate change." }, { "left": "pull_request:11920", "right": "pull_request:11954", "accept": false, - "reason": "Both add test slices, but for different pipelines and expected outputs." + "reason": "Both update tests, but for different pipelines and different generated outputs." }, { "left": "pull_request:11954", "right": "pull_request:11955", "accept": false, - "reason": "Different pipeline test updates; same testing style, not the same bug/change." + "reason": "Different pipeline test slices; same style of test update, not the same change." }, { "left": "pull_request:13253", "right": "pull_request:13254", "accept": false, - "reason": "Different model test refactors (Z-Image vs LTX); not the same concrete change." + "reason": "Different transformer test refactors for different models; no shared concrete bug/change." }, { "left": "pull_request:13253", "right": "pull_request:13315", "accept": false, - "reason": "Different models and files; same refactor pattern only." + "reason": "Separate refactors for different model tests, not duplicates." }, { "left": "pull_request:13253", "right": "pull_request:13335", "accept": false, - "reason": "Different model test targets; not a duplicate." + "reason": "Different model-specific CI refactors; too broad to merge as duplicates." }, { "left": "pull_request:13253", "right": "pull_request:13341", "accept": false, - "reason": "Different model families and tests; no shared concrete change." + "reason": "Different test refactors for different models." }, { "left": "pull_request:13253", "right": "pull_request:13342", "accept": false, - "reason": "Different model test refactors, not the same PR." + "reason": "Different model test refactors; unrelated concrete changes." }, { "left": "pull_request:13254", "right": "pull_request:13346", "accept": false, - "reason": "Different model test files and model families; only the refactor pattern overlaps." + "reason": "Different model test refactors; not the same underlying issue." }, { "left": "pull_request:13315", "right": "pull_request:13346", "accept": false, - "reason": "Different models and test code paths; not duplicates." + "reason": "Different model-specific refactors with no shared concrete change." }, { "left": "pull_request:13335", "right": "pull_request:13346", "accept": false, - "reason": "Different model test refactors; same theme but not the same change." + "reason": "Separate test refactors for different transformer models." }, { "left": "pull_request:13341", "right": "pull_request:13346", "accept": false, - "reason": "Different model families and files; not the same underlying fix." + "reason": "Different model test refactors, not duplicates." }, { "left": "pull_request:2812", "right": "pull_request:2815", "accept": true, - "reason": "Same Stable UnCLIP docs cleanup theme, same docs file family, and 2815 is the broader final docs update." + "reason": "Same Stable UnCLIP docs update in the same file area; this looks like the same documentation fix family." }, { "left": "pull_request:2813", "right": "pull_request:2815", "accept": true, - "reason": "Same Stable UnCLIP docs fix set; 2815 looks like the consolidated/broader version." + "reason": "Same Stable UnCLIP docs update family and same target file; plausibly one combined docs change." }, { "left": "pull_request:3568", "right": "pull_request:3577", "accept": false, - "reason": "Both fix broken links, but in different documentation pages and contexts." + "reason": "Both are broken-link docs fixes, but they touch different pages and distinct link targets." }, { "left": "pull_request:6908", "right": "pull_request:6942", "accept": false, - "reason": "Different example scripts and model-card templates; same standardization theme only." + "reason": "Same general model-card standardization theme, but different training scripts and different concrete edits." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10434", + "accept": false, + "reason": "Both fix docs links, but they are separate docs sweeps across different pages and link sets." }, { "left": "pull_request:6908", "right": "pull_request:6944", "accept": false, - "reason": "Different training scripts and docs content; not one concrete change." + "reason": "Different model-card cleanup PRs for different training scripts; not one duplicate bug/change." }, { "left": "pull_request:6908", "right": "pull_request:6947", "accept": false, - "reason": "Same broad model-card cleanup category, but different pipelines and code paths." + "reason": "Different model-card updates on different example scripts." }, { "left": "pull_request:6908", "right": "pull_request:6963", "accept": false, - "reason": "Different example scripts; similar docs standardization, not duplicates." + "reason": "Different training examples and different model-card changes; too broad to merge as duplicates." }, { "left": "pull_request:6908", "right": "pull_request:7615", "accept": false, - "reason": "Both standardize model cards, but for different training recipes and files." - }, - { - "left": "pull_request:10402", - "right": "pull_request:10434", - "accept": true, - "reason": "Same broken-links/docs-fix family; 10434 includes the same hunyuan pages and broadens the cleanup across more docs." + "reason": "Related SDXL model-card work, but different example script and different implementation details." }, { "left": "pull_request:6942", "right": "pull_request:6963", "accept": false, - "reason": "Different training examples and model-card text; not the same change." + "reason": "Separate model-card updates for different training scripts." }, { "left": "pull_request:6944", "right": "pull_request:6963", "accept": false, - "reason": "Different scripts and card generation logic; only the docs standardization theme matches." + "reason": "Different example scripts and model-card refactors; not the same concrete change." }, { "left": "pull_request:6947", "right": "pull_request:6963", "accept": false, - "reason": "Different training entrypoints and model-card content; not duplicates." + "reason": "Related docs/model-card standardization, but not the same artifact." + }, + { + "left": "pull_request:1513", + "right": "pull_request:1564", + "accept": false, + "reason": "Both touch DreamBooth README, but they add different accelerate-config guidance and are not the same underlying change." + }, + { + "left": "pull_request:5833", + "right": "pull_request:7934", + "accept": false, + "reason": "One is a single-file import fix, the other is config-dict loading behavior; different bugs." + }, + { + "left": "pull_request:5834", + "right": "pull_request:7934", + "accept": false, + "reason": "Same as above: different single-file loading issues, not duplicates." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10991", + "accept": false, + "reason": "Both add single-file support, but for different models and different conversion paths." + }, + { + "left": "pull_request:10183", + "right": "pull_request:9083", + "accept": false, + "reason": "Different model support additions in the single-file loader; same subsystem, not the same change." } ] }, @@ -179544,13 +179516,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 244, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -179646,10 +179618,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -179911,13 +179883,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 245, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -180004,10 +179976,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -180215,13 +180187,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 246, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -180313,10 +180285,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -180548,13 +180520,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 247, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -180639,10 +180611,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -180832,13 +180804,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 248, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -180924,10 +180896,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -181129,13 +181101,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 249, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -181220,10 +181192,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -181413,13 +181385,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 250, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -181506,10 +181478,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -181711,13 +181683,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 251, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -181800,10 +181772,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -181981,13 +181953,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 252, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -182071,10 +182043,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -182264,13 +182236,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 253, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -182355,10 +182327,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -182548,13 +182520,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 254, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -182638,10 +182610,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - 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"component_count": 255, + "component_count": 265, "review_unit_index": 256, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -183471,10 +183443,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -183670,13 +183642,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 257, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -183782,10 +183754,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -184125,13 +184097,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 258, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -184216,10 +184188,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -184409,13 +184381,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 259, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -184512,10 +184484,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -184783,13 +184755,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 260, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -184877,10 +184849,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -185088,13 +185060,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 261, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -185184,10 +185156,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -185413,7 +185385,7 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 262, "review_unit_count": 272, "status": "reviewed", @@ -185505,14 +185477,14 @@ "pull_request:3|pull_request:88", "pull_request:3068|pull_request:3318" ], - "prepared_review_unit_hash": "9721d49843d69da62e60487ae5fdf8f41e197f98a812d20d43e029ba7872707c", + "prepared_review_unit_hash": "48f7a37812dd583be6b12d4ea8d9961009382123907c4bafd9345e01fa868526", "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -185527,204 +185499,204 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is mostly a loose collection of unrelated docs/typo/feature PRs, with one clear near-duplicate pair around Stable unCLIP docs.", - "confidence": 0.33, + "summary": "These PRs are mostly unrelated documentation, typo, test, or feature-completion changes that only share broad subsystem keywords. I found no soft pair that clearly targets the same concrete bug/change strongly enough to merge as duplicates.", + "confidence": 0.95, "canonical_issue_reason": null, - "canonical_pr_reason": "pull_request:2812 is the strongest anchor because it is the main Stable unCLIP docs update and has an almost identical twin in 2813.", + "canonical_pr_reason": "No single PR is a clear duplicate target across this set; if a representative is needed, PR 2814 is the most substantive feature-completion change, but it is not a duplicate of the others.", "best_issue_reason": null, - "best_pr_reason": "pull_request:2812 is the best overall PR candidate here: it is substantive, and it is the clearest representative of the only true duplicate-like pair in the set.", + "best_pr_reason": "PR 2814 is the strongest standalone representative because it contains concrete Stable UnCLIP code-path completion work, unlike the mostly docs/typo/test PRs.", "soft_edge_verdicts": [ { "left": "pull_request:1968", "right": "pull_request:2062", "accept": false, - "reason": "Both are CPU offload fixes, but for different pipelines and code paths; not the same underlying bug." + "reason": "Both mention CPU offload, but they fix different pipelines and code paths (Stable Diffusion docs/code vs Paint by Example)." }, { "left": "pull_request:21", "right": "pull_request:43", "accept": false, - "reason": "Unrelated changes: model tests vs model card template." + "reason": "Unrelated changes: model tests vs model card template/docs." }, { "left": "pull_request:2197", "right": "pull_request:260", "accept": false, - "reason": "Different typos in unrelated files and eras; not one shared fix." + "reason": "Different typo fixes in different files; no shared bug or code path." }, { "left": "pull_request:2197", "right": "pull_request:353", "accept": false, - "reason": "Both are typo fixes, but in different modules with different issues." + "reason": "Different files and issues: StableDiffusionInpaintPipeline typo vs unet_blocks error message." }, { "left": "pull_request:2197", "right": "pull_request:407", "accept": false, - "reason": "Same broad theme, but different pipeline typo fixes; not the same concrete change." + "reason": "Both are typo-like, but they touch different Stable Diffusion APIs and fixes." }, { "left": "pull_request:2197", "right": "pull_request:798", "accept": false, - "reason": "Different docstring typo in a different model file; not a duplicate." + "reason": "Docstring typo in UNet2DConditionModel is unrelated to the inpaint pipeline typo." }, { "left": "pull_request:2290", "right": "pull_request:3166", "accept": false, - "reason": "Both touch docs, but on unrelated pipeline areas and different fixes." + "reason": "Both are docs fixes, but they affect different pipelines and different text inversion topics." }, { "left": "pull_request:2290", "right": "pull_request:408", "accept": false, - "reason": "Separate docs typo/nit PRs with different targets and scope." + "reason": "Different documentation areas and different wording fixes." }, { "left": "pull_request:2333", "right": "pull_request:421", "accept": false, - "reason": "Unrelated documentation updates in different sections." + "reason": "Ethical guidelines docs and scheduler docs are unrelated pages." }, { "left": "pull_request:2333", "right": "pull_request:4275", "accept": false, - "reason": "Different docs topics; no shared underlying change." + "reason": "Different docs pages and different content; only broad docs similarity." }, { "left": "pull_request:2367", "right": "pull_request:3798", "accept": false, - "reason": "Training scripts overlap, but one adds checkpointing functionality and the other only fixes comments; not mergeable as one change." + "reason": "Checkpoint-limit functionality in training scripts is not the same as comment cleanup in training scripts." }, { "left": "pull_request:2388", "right": "pull_request:2406", "accept": false, - "reason": "Same doc page, but 2406 is a follow-up nit/update rather than the same underlying change as the page creation." + "reason": "Same docs area, but 2388 adds the page while 2406 is a follow-up polish; not the same underlying change." }, { "left": "pull_request:2433", "right": "pull_request:429", "accept": false, - "reason": "Unrelated docs changes." + "reason": "SDEdit note in img2img docs vs configuration docs are unrelated." }, { "left": "pull_request:2433", "right": "pull_request:500", "accept": false, - "reason": "Unrelated docs changes." + "reason": "Different docs topics and different scopes; no shared concrete change." }, { "left": "pull_request:2533", "right": "pull_request:3676", "accept": false, - "reason": "Both are WIP/testing PRs, but they touch different files and problems." + "reason": "One is a setup/workflow debug PR, the other is a doc-builder test PR; unrelated." }, { "left": "pull_request:2540", "right": "pull_request:2788", "accept": false, - "reason": "Different documentation sections and different edits; not the same fix." + "reason": "ControlNet section docs vs training-section deduplication are different doc changes." }, { "left": "pull_request:2540", "right": "pull_request:3744", "accept": false, - "reason": "Docs content vs workflow token change; unrelated." + "reason": "ControlNet docs content change vs workflow token fix; no duplicate bug/change." }, { "left": "pull_request:2569", "right": "pull_request:3821", "accept": false, - "reason": "OpenVINO docs vs translated docs are different changes." + "reason": "OpenVINO docs and Korean translation docs are different workstreams." }, { "left": "pull_request:2587", "right": "pull_request:3821", "accept": false, - "reason": "Both are translated docs, but for different languages and files; not duplicates." + "reason": "Different translated-doc pages and languages; not the same artifact or change." }, { "left": "pull_request:2604", "right": "pull_request:4275", "accept": false, - "reason": "A specific colab-link fix is unrelated to autopipeline docs." + "reason": "Colab-link fix vs AutoPipeline docs correction are unrelated." }, { "left": "pull_request:2604", "right": "pull_request:4721", "accept": false, - "reason": "Different docs fixes in different languages and files." + "reason": "English Colab link fix and Korean DreamBooth translation edit are unrelated." }, { "left": "pull_request:2608", "right": "pull_request:2715", "accept": false, - "reason": "Both are typo PRs, but in different documents and code areas; not the same underlying change." + "reason": "README typo cleanup is unrelated to broader multi-file model/API typo fixes." }, { "left": "pull_request:2608", "right": "pull_request:4479", "accept": false, - "reason": "README typos vs pipeline API typos; unrelated." + "reason": "Different typo fixes in different docs/code areas; only broad stylistic similarity." }, { "left": "pull_request:2715", "right": "pull_request:718", "accept": false, - "reason": "Different typo-cleanup PRs across unrelated files." + "reason": "A large multi-file typo sweep is not the same as the smaller mixed docs/example typo PR." }, { "left": "pull_request:2812", "right": "pull_request:2814", "accept": false, - "reason": "Same feature area, but one is docs and the other is code implementation; not the same concrete fix." + "reason": "Docs update for Stable unCLIP is not the same as the code implementation/completion PR." }, { "left": "pull_request:2812", "right": "pull_request:2922", "accept": false, - "reason": "Related unCLIP topic, but different docs files and different edits." + "reason": "Both concern unCLIP docs, but one is Stable unCLIP docs and the other is a general unclip.mdx wording update." }, { "left": "pull_request:2813", "right": "pull_request:2814", "accept": false, - "reason": "Docs duplicate candidate vs code implementation; too different to merge as one PR." + "reason": "Same as 2812/2814: docs-only versus code-path completion." }, { "left": "pull_request:2813", "right": "pull_request:2922", "accept": false, - "reason": "Related topic but not the same change." + "reason": "Related subject, but different docs pages and different edits; not duplicates." }, { "left": "pull_request:2814", "right": "pull_request:2823", "accept": false, - "reason": "Code completion PR vs later doc improvement; not the same underlying change." + "reason": "Stable UnCLIP code completion and doc improvements are different changes." }, { "left": "pull_request:2861", "right": "pull_request:4276", "accept": false, - "reason": "A pipeline behavior test and a dependency/import test are unrelated." + "reason": "Pipeline behavioral test for image_embeds=None is unrelated to a pipeline-import dependency test." }, { "left": "pull_request:3", "right": "pull_request:88", "accept": false, - "reason": "Very different changes: hub import plumbing vs DDPM implementation work." + "reason": "Foundation/config-loading work vs DDPM implementation work; not the same bug/change." }, { "left": "pull_request:3068", "right": "pull_request:3318", "accept": false, - "reason": "Textual inversion docs vs IF textual inversion implementation; different artifacts and goals." + "reason": "Textual inversion docs updates and IF textual inversion implementation are different changes and code paths." } ] }, @@ -185738,13 +185710,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 263, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -185834,10 +185806,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -186057,13 +186029,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 264, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -186146,10 +186118,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -186327,13 +186299,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 265, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -186417,10 +186389,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -186604,13 +186576,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 266, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -186696,10 +186668,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -186895,13 +186867,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 267, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -186986,10 +186958,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -187179,13 +187151,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 268, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -187268,10 +187240,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -187455,13 +187427,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 269, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -187544,10 +187516,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -187731,13 +187703,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 270, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -187825,10 +187797,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 48, @@ -188036,13 +188008,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 271, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -188124,10 +188096,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 47, @@ -188305,13 +188277,13 @@ { "label": "pull_request", "component_index": 1, - "component_count": 255, + "component_count": 265, "review_unit_index": 272, "review_unit_count": 272, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1-3016", "nodes": [ @@ -188348,10 +188320,10 @@ "component_budget": { "node_count": 3016, "item_count": 3016, - "soft_pair_count": 7644, - "serialized_chars": 8718271, - "estimated_input_tokens": 2179568, - "estimated_eval_tokens": 4359392 + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 }, "budget": { "node_count": 17, @@ -188439,13 +188411,13 @@ { "label": "pull_request", "component_index": 2, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9562-4", "nodes": [ @@ -188539,13 +188511,13 @@ { "label": "pull_request", "component_index": 3, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-999-2", "nodes": [ @@ -188602,13 +188574,13 @@ { "label": "pull_request", "component_index": 4, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9905-11", "nodes": [ @@ -188884,13 +188856,13 @@ { "label": "pull_request", "component_index": 5, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10044-3", "nodes": [ @@ -188965,7 +188937,7 @@ { "label": "pull_request", "component_index": 6, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 2, "status": "reviewed", @@ -189086,7 +189058,7 @@ "pull_request:6514|pull_request:7242", "pull_request:4505|pull_request:6751" ], - "prepared_review_unit_hash": "b0bd9d390bb11078b089142859689ccd8652b51c78ac474c782703c899d19dd9", + "prepared_review_unit_hash": "ca89445835212f449f9c3c0d90fe9a6bdb9da42e76196307d69353d5bbb5e9c9", "component_budget": { "node_count": 36, "item_count": 36, @@ -189108,351 +189080,249 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster is mostly a mix of two real duplicate groups plus many adjacent follow-up feature PRs: a distributed LR-scheduler fix repeated across several training scripts, and a fp16 resume/state-dict fix repeated across DreamBooth/LCM LoRA scripts. Most other soft links are related but not duplicates.", - "confidence": 0.78, + "summary": "Mixed cluster with a few real duplicate families: distributed LR-scheduler fixes across example scripts, and fp16/state-dict resume fixes in LoRA training. Most other pairs are adjacent feature work or docs and should stay separate. The 9308 links to ControlNet scheduler-fix PRs are too weak to merge and should be rejected.", + "confidence": 0.79, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 8461 is the cleanest representative of the largest true-duplicate cluster: a self-contained LR-scheduler fix in a training script, with a clear concrete bug and several near-identical variants in other example trainers.", + "canonical_pr_reason": "PR 8461 is the cleanest anchor for the strongest duplicate family: a focused one-file distributed LR-scheduler bug fix with a direct sibling in 8476 and the same fix pattern repeated elsewhere.", "best_issue_reason": null, - "best_pr_reason": "PR 8461 is the best overall representative because it is merged, narrowly scoped, and sits in the center of the strongest duplicate-like cluster in this set.", + "best_pr_reason": "PR 8461 is the best global representative because it is a crisp, concrete bug fix rather than a feature/docs change, and it sits at the center of the clearest duplicate subcluster in this packet.", "soft_edge_verdicts": [ { "left": "pull_request:8461", "right": "pull_request:9316", "accept": true, - "reason": "Same distributed LR-scheduler bug pattern in the example training step; could plausibly be one PR touching both scripts." + "reason": "Same distributed LR-scheduler math bug and same fix pattern in sibling example training scripts." }, { "left": "pull_request:8446", "right": "pull_request:8461", "accept": true, - "reason": "Same scheduler-warmup/max-train-steps fix, just in another example trainer." + "reason": "Same scheduler computation bug in a closely related example training script; the patch shape is the same." }, { - "left": "pull_request:8446", - "right": "pull_request:8476", - "accept": true, - "reason": "Same LR-scheduler calculation bug in another ControlNet trainer variant." + "left": "pull_request:8461", + "right": "pull_request:9308", + "accept": false, + "reason": "They share a broad scheduler-fix theme, but the packet marks this edge non-deterministic and the scripts are different enough that this is not a single mergeable change." }, { - "left": "pull_request:8461", + "left": "pull_request:8476", "right": "pull_request:9308", - "accept": true, - "reason": "Same scheduler logic bug repeated in a different training example script." + "accept": false, + "reason": "Same broad training-scheduler theme, but different example script and not the same concrete code path; too weak for duplicate triage." }, { "left": "pull_request:8446", "right": "pull_request:9308", - "accept": true, - "reason": "Same underlying scheduler fix applied to another example trainer." + "accept": false, + "reason": "Shared bug class only; the packet does not ground this as the same mergeable patch, so reject conservatively." }, { "left": "pull_request:6514", "right": "pull_request:7126", "accept": false, - "reason": "Different changes: fp16 resume-state fix vs EDM-style training support." + "reason": "Different fixes in different training flows: fp16 resume/state-dict restoration versus EDM-style training support." }, { "left": "pull_request:4016", "right": "pull_request:5778", "accept": false, - "reason": "Different features and scripts; not the same bug or change." + "reason": "Different SDXL training features in different scripts; related domain, but not the same underlying change." }, { "left": "pull_request:4097", "right": "pull_request:6514", "accept": false, - "reason": "One adds SDXL text-encoder LoRA support; the other fixes fp16 resume behavior." + "reason": "One is text-encoder fine-tuning support, the other is an fp16 resume fix; not the same bug or change." }, { "left": "pull_request:3896", "right": "pull_request:4097", "accept": false, - "reason": "Related SDXL DreamBooth work, but one is broad WIP support and the other is a later feature extension." + "reason": "WIP SDXL DreamBooth LoRA support versus a later text-encoder-finetuning follow-up; related, but not a duplicate." }, { "left": "pull_request:6554", "right": "pull_request:7126", "accept": false, - "reason": "Different scripts and different fixes; not the same concrete change." + "reason": "Both are DreamBooth/LoRA training-related, but they fix different problems in different scripts." }, { "left": "pull_request:4016", "right": "pull_request:4505", "accept": false, - "reason": "Different training examples and different functionality." - }, - { - "left": "pull_request:6554", - "right": "pull_request:7242", - "accept": false, - "reason": "Different bug/feature: fp16 resume fix vs prior-preservation handling." - }, - { - "left": "pull_request:5778", - "right": "pull_request:6514", - "accept": false, - "reason": "Different training recipes and different failure modes." - }, - { - "left": "pull_request:2031", - "right": "pull_request:4097", - "accept": false, - "reason": "Unrelated example implementations; no shared concrete bug." - }, - { - "left": "pull_request:4038", - "right": "pull_request:4097", - "accept": false, - "reason": "Different subsystems and unrelated changes." - }, - { - "left": "pull_request:4097", - "right": "pull_request:5778", - "accept": false, - "reason": "Different scripts/features; not duplicates." - }, - { - "left": "pull_request:3425", - "right": "pull_request:3560", - "accept": false, - "reason": "Both touch IF-related training, but they are different scripts and different fixes." - }, - { - "left": "pull_request:5778", - "right": "pull_request:7126", - "accept": false, - "reason": "Distinct training features; not mergeable as one bug fix." - }, - { - "left": "pull_request:4505", - "right": "pull_request:5778", - "accept": false, - "reason": "Different example families and different purposes." + "reason": "Different SDXL training scripts and different feature goals; not the same change." }, { "left": "pull_request:6422", "right": "pull_request:7126", "accept": false, - "reason": "Experimental DPO training vs DreamBooth EDM-style training are unrelated." + "reason": "Separate research/training recipes with different functionality; only superficially related." }, { "left": "pull_request:2478", "right": "pull_request:2978", "accept": false, - "reason": "Same example area, but one is the original script and the other fixes multi-GPU behavior; not the same change." + "reason": "Original example addition versus a later multi-GPU bug fix; not duplicates." }, { "left": "pull_request:2818", "right": "pull_request:2859", "accept": false, - "reason": "Related ControlNet JAX docs/code, but this is a follow-up support change rather than the same fix." + "reason": "Both are ControlNet JAX-related, but one adds the training script and the other adds streaming support; different changes." }, { "left": "pull_request:5778", "right": "pull_request:7242", "accept": false, - "reason": "Different DreamBooth LoRA enhancements, not the same bug." + "reason": "Different SDXL DreamBooth LoRA follow-ups; the prior-preservation fix is not the same change as the EDM-style training work." }, { "left": "pull_request:6751", "right": "pull_request:7126", "accept": false, - "reason": "Different training scripts and different functionality." + "reason": "Different SDXL training examples and different fix scopes." }, { "left": "pull_request:6422", "right": "pull_request:6554", "accept": false, - "reason": "Unrelated projects and fixes." + "reason": "Different training recipes and different bug fixes; no duplicate code path." }, { "left": "pull_request:4016", "right": "pull_request:4038", "accept": false, - "reason": "Different model families and different code paths." + "reason": "Different model families and training features; not the same underlying bug or change." }, { "left": "pull_request:3550", "right": "pull_request:3896", "accept": false, - "reason": "Discussion/spurious-fix PR vs an actual SDXL training implementation; not the same change." - }, - { - "left": "pull_request:1110", - "right": "pull_request:1980", - "accept": false, - "reason": "Both are ORT-related, but they target different example moves/features and are not the same concrete patch." + "reason": "Debug/discussion PR versus broader SDXL LoRA feature work; not the same artifact." }, { - "left": "pull_request:6514", - "right": "pull_request:8446", + "left": "pull_request:5778", + "right": "pull_request:7126", "accept": false, - "reason": "Different bug classes: fp16 resume state vs scheduler math." + "reason": "Different training approaches and different code paths." }, { - "left": "pull_request:2031", - "right": "pull_request:4016", + "left": "pull_request:4505", + "right": "pull_request:5778", "accept": false, - "reason": "Different text-to-image vs DreamBooth LoRA features." + "reason": "Different text-to-image SDXL workstreams; only loosely related." }, { - "left": "pull_request:2818", - "right": "pull_request:4038", - "accept": false, - "reason": "Different ControlNet training stacks and different changes." + "left": "pull_request:6514", + "right": "pull_request:6840", + "accept": true, + "reason": "Same fp16 resume/state-dict restoration bug pattern in LoRA training scripts." }, { - "left": "pull_request:3810", + "left": "pull_request:2478", "right": "pull_request:4505", "accept": false, - "reason": "README/model-card improvements vs a new SDXL training script." + "reason": "Different example families and different functionality." }, { - "left": "pull_request:3360", - "right": "pull_request:3425", - "accept": false, - "reason": "Both are IF-related, but they fix different DreamBooth variants and code paths." - }, - { - "left": "pull_request:1980", - "right": "pull_request:916", + "left": "pull_request:2818", + "right": "pull_request:4038", "accept": false, - "reason": "Both are ORT integrations, but for different example setups and with different scopes." + "reason": "One is JAX ControlNet training, the other is PyTorch SDXL ControlNet support; not the same change." }, { - "left": "pull_request:6514", - "right": "pull_request:8476", + "left": "pull_request:3810", + "right": "pull_request:4016", "accept": false, - "reason": "Unrelated fixes in different training code paths." + "reason": "Model-card/docs cleanup versus SDXL DreamBooth LoRA feature work; not duplicates." }, { - "left": "pull_request:2031", - "right": "pull_request:3896", + "left": "pull_request:3896", + "right": "pull_request:5778", "accept": false, - "reason": "Different training examples and different change sets." + "reason": "Unrelated SDXL training efforts with different goals." }, { - "left": "pull_request:2859", - "right": "pull_request:4505", + "left": "pull_request:4038", + "right": "pull_request:4097", "accept": false, - "reason": "Different codebases/features; only loosely related by training docs." + "reason": "Different pipeline/feature work, not the same underlying bug or change." }, { - "left": "pull_request:3896", - "right": "pull_request:4038", + "left": "pull_request:4505", + "right": "pull_request:6751", "accept": false, - "reason": "Different model families and different implementation work." + "reason": "Both are text-to-image SDXL-related, but they are different additions/fixes in different files." }, { - "left": "pull_request:2859", - "right": "pull_request:2978", + "left": "pull_request:5778", + "right": "pull_request:6514", "accept": false, - "reason": "Different examples and unrelated changes." + "reason": "Different training recipes and fixes; no shared concrete bug." }, { - "left": "pull_request:1834", - "right": "pull_request:2978", - "accept": false, - "reason": "Text-to-image logging vs InstructPix2Pix multi-GPU fix are unrelated." + "left": "pull_request:4016", + "right": "pull_request:4097", + "accept": true, + "reason": "Same SDXL DreamBooth LoRA script line and the later PR is a direct follow-up on the same training implementation." }, { - "left": "pull_request:7242", - "right": "pull_request:8743", - "accept": false, - "reason": "Different DreamBooth/SDXL vs SD3 LoRA changes and different bugs." + "left": "pull_request:6514", + "right": "pull_request:6554", + "accept": true, + "reason": "Same fp16 resume bug pattern applied to another LoRA training script." }, { "left": "pull_request:8461", "right": "pull_request:8476", "accept": true, - "reason": "Same LR-scheduler fix pattern across closely related training scripts." + "reason": "Same distributed LR-scheduler fix across sibling example scripts." }, { "left": "pull_request:8446", "right": "pull_request:8476", "accept": true, - "reason": "Same scheduler bug, just another example trainer." - }, - { - "left": "pull_request:6514", - "right": "pull_request:6554", - "accept": true, - "reason": "Same fp16 resume-state bug in LoRA DreamBooth training, applied to SD and SDXL variants." + "reason": "Same scheduler bug and same fix pattern in a related example training script." }, { "left": "pull_request:8476", "right": "pull_request:9316", "accept": true, - "reason": "Same scheduler math fix across different example training scripts." + "reason": "Same LR-scheduler bug fix pattern in another example training script." }, { "left": "pull_request:8446", "right": "pull_request:9316", "accept": true, - "reason": "Same LR-scheduler bug and same style of patch." + "reason": "Same scheduler-math bug and same style of fix, just in a different example script." }, { "left": "pull_request:9308", "right": "pull_request:9316", "accept": true, - "reason": "Same distributed training scheduler fix in two example trainers." + "reason": "Same distributed scheduler computation bug across example training scripts." }, { "left": "pull_request:3896", "right": "pull_request:4016", - "accept": false, - "reason": "The later PR is a polished follow-up, not the same concrete change as the WIP implementation." + "accept": true, + "reason": "Same SDXL DreamBooth LoRA feature family; 4016 is the polished continuation of the earlier WIP implementation." }, { "left": "pull_request:7126", "right": "pull_request:7242", "accept": false, - "reason": "Different DreamBooth LoRA enhancements, not duplicates." - }, - { - "left": "pull_request:6514", - "right": "pull_request:7242", - "accept": false, - "reason": "Different problem: fp16 resume vs prior-preservation data handling." - }, - { - "left": "pull_request:4097", - "right": "pull_request:4505", - "accept": false, - "reason": "Different training-example work; no shared concrete fix." - }, - { - "left": "pull_request:5778", - "right": "pull_request:6840", - "accept": false, - "reason": "Different training approaches and unrelated fixes." - }, - { - "left": "pull_request:6514", - "right": "pull_request:6840", - "accept": true, - "reason": "Same fp16 resume/state-dict bug in LoRA training, just a different SDXL-family trainer." - }, - { - "left": "pull_request:4505", - "right": "pull_request:6751", - "accept": false, - "reason": "Different changes: new SDXL text-to-image training script vs a precision-specific LoRA fix." - }, - { - "left": "pull_request:4016", - "right": "pull_request:4097", - "accept": false, - "reason": "Feature follow-up, not the same change." + "reason": "EDM-style training support versus a prior-preservation bug fix: related file, different concrete change." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet and stays conservative about the soft edges. The two accepted clusters are well supported: the distributed LR-scheduler fixes across multiple training scripts, and the fp16 resume/state-dict fixes across the DreamBooth/LoRA variants. The rejected pairs are also mostly framed appropriately as related but not the same concrete bugfix. No overstatement stands out." + "accept": false, + "feedback": "Reject: the analyst overstates mergeability in the distributed LR-scheduler cluster. In the packet, the pairs pull_request:8461\u2013pull_request:9308, pull_request:8476\u2013pull_request:9308, and pull_request:8446\u2013pull_request:9308 all have deterministic_accept=false, but the analyst marked them accept. The summary is broadly aligned, but these soft-edge verdicts are not conservative enough and are not grounded by the packet." }, "evaluator_used": true, - "retried": false, + "retried": true, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -189460,7 +189330,7 @@ { "label": "pull_request", "component_index": 6, - "component_count": 255, + "component_count": 265, "review_unit_index": 2, "review_unit_count": 2, "status": "reviewed", @@ -189494,7 +189364,7 @@ "pull_request:1225|pull_request:916", "pull_request:6514|pull_request:6751" ], - "prepared_review_unit_hash": "47c27aeac67cfe5c57e019bec25a360ecb6789f25bc2933ad180472733ca9da4", + "prepared_review_unit_hash": "02027bb584d3f21bd19ea9f5271bfc24795f8200e39ec81a07a1a1bf3d833034", "component_budget": { "node_count": 36, "item_count": 36, @@ -189516,78 +189386,78 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The cluster splits into two real themes: ORT integration for unconditional image training, and fp16 resume fixes across several SDXL LoRA example scripts. The ORT PRs are close duplicates; the mixed-precision resume PRs are related but mostly script-specific, so only the ORT overlaps are accepted.", - "confidence": 0.86, + "summary": "This cluster is actually two loose themes: an ORT integration subcluster around unconditional image generation, and several separate fp16 resume-fix PRs for different LoRA/DreamBooth-style training scripts. I treat only the ORT PRs as true duplicates/same change; the resume-fix PRs are related but not the same concrete code path.", + "confidence": 0.73, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 1110 is the cleanest merged representative of the ORT integration work: it adds the dedicated ORT training script and supporting README updates.", + "canonical_pr_reason": "PR 1110 is the merged, most complete ORT integration: it adds the dedicated ORT example, docs, and the supporting pipeline change, so it best represents the final change in this subcluster.", "best_issue_reason": null, - "best_pr_reason": "PR 1110 is the best overall PR to anchor this cluster because it is merged, self-contained, and most clearly represents the ORT feature thread.", + "best_pr_reason": "PR 1110 is the strongest representative overall because it is merged and contains the finished ORT example plus documentation, making it the clearest canonical PR for the ORT work.", "soft_edge_verdicts": [ { "left": "pull_request:6554", "right": "pull_request:6840", "accept": false, - "reason": "Both are fp16 resume fixes for SDXL LoRA training, but they target different example scripts/code paths, so they are not the same concrete change." + "reason": "Both address fp16 resume issues, but they touch different training scripts and code paths (DreamBooth SD vs. LCM consistency distillation), so they are related fixes rather than the same duplicate change." }, { "left": "pull_request:1110", "right": "pull_request:1225", "accept": true, - "reason": "Same ORT integration for the unconditional image example; 1225 is a flag-based variant of the same feature and could plausibly be one PR." + "reason": "Both are ORT integrations for the unconditional image generation training example and aim at the same underlying change: making that training flow work with ONNX Runtime." }, { "left": "pull_request:1007", "right": "pull_request:1110", "accept": true, - "reason": "Both implement ORT support for the unconditional image example and related pipeline code; they look like two revisions of the same feature." + "reason": "Both implement the same ORT-enabled unconditional training support, with overlapping edits to the example and shared pipeline support, so they look like alternate versions of the same change." }, { "left": "pull_request:1007", "right": "pull_request:1225", "accept": true, - "reason": "Same ORT integration thread for the unconditional image example, with overlapping core changes and example wiring." + "reason": "These are both ORT integration variants for the same unconditional training script and supporting model code, differing mainly in implementation shape rather than underlying goal." }, { "left": "pull_request:6751", "right": "pull_request:6840", "accept": false, - "reason": "Both are mixed-precision LoRA fixes, but they affect different training examples and are not the same concrete bug fix." + "reason": "They both touch LoRA training resume behavior, but they are for different example scripts and different training scenarios, so they are not the same concrete fix." }, { "left": "pull_request:6751", "right": "pull_request:7242", "accept": false, - "reason": "One is mixed-precision resume handling; the other is prior-preservation plumbing in DreamBooth SDXL, so they are different changes." + "reason": "These address unrelated problems: mixed-precision fine-tuning resume vs. prior-preservation collate handling in DreamBooth SDXL." }, { "left": "pull_request:5778", "right": "pull_request:6840", "accept": false, - "reason": "The former adds a datasets-based LCM LoRA SDXL example; the latter fixes fp16 resume behavior. Different feature and bug." + "reason": "Different feature areas and different files; one is an LCM LoRA datasets-version training addition, the other is a resume-from-fp16 bug fix." }, { "left": "pull_request:1007", "right": "pull_request:916", "accept": true, - "reason": "Both are ORT integration PRs for the unconditional image example; the later PR appears to be a fuller or alternate packaging of the same feature." + "reason": "Both are about integrating ORT into the unconditional image generation training stack and share the same supporting core changes, so they appear to be the same underlying feature work." }, { "left": "pull_request:1110", "right": "pull_request:916", "accept": true, - "reason": "Same ORT feature area with the same example and shared pipeline support; these are effectively the same integration work." + "reason": "Both are ORT integration work for unconditional training, with overlapping example/core changes; they look like different iterations of the same change." }, { "left": "pull_request:1225", "right": "pull_request:916", "accept": true, - "reason": "Both target ORT support for the same unconditional training path, with overlapping code changes." + "reason": "Both target ORT support for the unconditional training example and core model/pipeline compatibility, so they are close enough to treat as duplicate change work." }, { "left": "pull_request:6514", "right": "pull_request:6751", "accept": false, - "reason": "These are separate fp16 resume fixes in different example scripts, not one shared code-path change." + "reason": "They are both resume-related LoRA fixes, but they affect different example scripts and are not the same code-path issue." } ] }, @@ -189601,13 +189471,13 @@ { "label": "pull_request", "component_index": 7, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-52-3", "nodes": [ @@ -189672,13 +189542,13 @@ { "label": "pull_request", "component_index": 8, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10081-2", "nodes": [ @@ -189735,13 +189605,13 @@ { "label": "pull_request", "component_index": 9, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9776-2", "nodes": [ @@ -189798,13 +189668,13 @@ { "label": "pull_request", "component_index": 10, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10155-3", "nodes": [ @@ -189869,13 +189739,13 @@ { "label": "pull_request", "component_index": 11, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10173-2", "nodes": [ @@ -189932,13 +189802,13 @@ { "label": "pull_request", "component_index": 12, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10189-2", "nodes": [ @@ -189995,13 +189865,13 @@ { "label": "pull_request", "component_index": 13, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9093-8", "nodes": [ @@ -190156,13 +190026,13 @@ { "label": "pull_request", "component_index": 14, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10229-3", "nodes": [ @@ -190227,13 +190097,13 @@ { "label": "pull_request", "component_index": 15, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10234-7", "nodes": [ @@ -190365,13 +190235,13 @@ { "label": "pull_request", "component_index": 16, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1024-2", "nodes": [ @@ -190428,13 +190298,13 @@ { "label": "pull_request", "component_index": 17, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9891-2", "nodes": [ @@ -190491,13 +190361,13 @@ { "label": "pull_request", "component_index": 18, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1028-3", "nodes": [ @@ -190569,13 +190439,13 @@ { "label": "pull_request", "component_index": 19, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10284-2", "nodes": [ @@ -190632,13 +190502,13 @@ { "label": "pull_request", "component_index": 20, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10308-3", "nodes": [ @@ -190710,13 +190580,13 @@ { "label": "pull_request", "component_index": 21, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10363-2", "nodes": [ @@ -190773,13 +190643,13 @@ { "label": "pull_request", "component_index": 22, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6255-18", "nodes": [ @@ -191182,13 +191052,13 @@ { "label": "pull_request", "component_index": 23, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10400-2", "nodes": [ @@ -191245,13 +191115,13 @@ { "label": "pull_request", "component_index": 24, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10401-2", "nodes": [ @@ -191308,13 +191178,13 @@ { "label": "pull_request", "component_index": 25, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9986-2", "nodes": [ @@ -191371,13 +191241,13 @@ { "label": "pull_request", "component_index": 26, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10440-2", "nodes": [ @@ -191434,13 +191304,13 @@ { "label": "pull_request", "component_index": 27, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9818-2", "nodes": [ @@ -191497,13 +191367,13 @@ { "label": "pull_request", "component_index": 28, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9428-2", "nodes": [ @@ -191560,13 +191430,13 @@ { "label": "pull_request", "component_index": 29, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1052-2", "nodes": [ @@ -191623,13 +191493,13 @@ { "label": "pull_request", "component_index": 30, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10527-3", "nodes": [ @@ -191701,13 +191571,13 @@ { "label": "pull_request", "component_index": 31, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10615-3", "nodes": [ @@ -191772,13 +191642,13 @@ { "label": "pull_request", "component_index": 32, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9080-3", "nodes": [ @@ -191843,13 +191713,13 @@ { "label": "pull_request", "component_index": 33, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8899-4", "nodes": [ @@ -191922,13 +191792,13 @@ { "label": "pull_request", "component_index": 34, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10742-3", "nodes": [ @@ -192000,13 +191870,13 @@ { "label": "pull_request", "component_index": 35, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1078-4", "nodes": [ @@ -192079,13 +191949,13 @@ { "label": "pull_request", "component_index": 36, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10836-4", "nodes": [ @@ -192158,13 +192028,13 @@ { "label": "pull_request", "component_index": 37, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10880-4", "nodes": [ @@ -192244,13 +192114,13 @@ { "label": "pull_request", "component_index": 38, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10881-2", "nodes": [ @@ -192307,13 +192177,13 @@ { "label": "pull_request", "component_index": 39, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10939-2", "nodes": [ @@ -192370,13 +192240,13 @@ { "label": "pull_request", "component_index": 40, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10944-2", "nodes": [ @@ -192433,13 +192303,13 @@ { "label": "pull_request", "component_index": 41, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10973-3", "nodes": [ @@ -192511,13 +192381,13 @@ { "label": "pull_request", "component_index": 42, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11079-2", "nodes": [ @@ -192574,13 +192444,13 @@ { "label": "pull_request", "component_index": 43, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-977-2", "nodes": [ @@ -192637,13 +192507,13 @@ { "label": "pull_request", "component_index": 44, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11094-2", "nodes": [ @@ -192700,13 +192570,13 @@ { "label": "pull_request", "component_index": 45, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-111-2", "nodes": [ @@ -192766,13 +192636,13 @@ { "label": "pull_request", "component_index": 46, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11190-2", "nodes": [ @@ -192829,13 +192699,13 @@ { "label": "pull_request", "component_index": 47, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1121-2", "nodes": [ @@ -192892,7 +192762,7 @@ { "label": "pull_request", "component_index": 48, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -192900,7 +192770,7 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-11219-14", + "cluster_id": "cluster-11219-15", "nodes": [ "pull_request:11219", "pull_request:11245", @@ -192915,7 +192785,8 @@ "pull_request:11459", "pull_request:12350", "pull_request:12842", - "pull_request:13270" + "pull_request:13270", + "pull_request:13535" ], "soft_pairs": [ "pull_request:11219|pull_request:12350", @@ -192938,168 +192809,169 @@ "pull_request:11264|pull_request:12350", "pull_request:11266|pull_request:12350", "pull_request:12350|pull_request:12842", - "pull_request:12842|pull_request:13270" + "pull_request:12842|pull_request:13270", + "pull_request:13270|pull_request:13535" ], - "prepared_review_unit_hash": "ed3c8dca85ed83621d5810bf11c0c4e39cb041513add2083d9a1a9f6f77960f5", + "prepared_review_unit_hash": "f16a567d07b2e685ba57776d555ea9f459ee64c8bef141638198e39e45735882", "component_budget": { - "node_count": 14, - "item_count": 14, - "soft_pair_count": 21, - "serialized_chars": 33522, - "estimated_input_tokens": 8381, - "estimated_eval_tokens": 17018 + "node_count": 15, + "item_count": 15, + "soft_pair_count": 22, + "serialized_chars": 35732, + "estimated_input_tokens": 8933, + "estimated_eval_tokens": 18122 }, "budget": { - "node_count": 14, - "item_count": 14, - "soft_pair_count": 21, - "serialized_chars": 33522, - "estimated_input_tokens": 8381, - "estimated_eval_tokens": 17018 + "node_count": 15, + "item_count": 15, + "soft_pair_count": 22, + "serialized_chars": 35732, + "estimated_input_tokens": 8933, + "estimated_eval_tokens": 18122 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is mostly a collection of independent XPU/A100 test enablement or expectation-update PRs across different pipelines and test files, not one duplicated bugfix/change. I do not see a true duplicate pair here under a strict same-change standard.", - "confidence": 0.94, + "summary": "A loose XPU-focused cluster of mostly test-only PRs, plus a few broader runtime fixes; the shared theme is backend portability, but the items are not duplicates of the same bug/change.", + "confidence": 0.81, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR in this set is a true duplicate of the others; if a representative PR is needed, PR 11404 is the most substantive because it fixes an actual device-handling code path rather than only updating test expectations.", + "canonical_pr_reason": "PR 11404 is the strongest representative: it includes actual runtime code changes in LoRA/GGUF handling plus XPU test enablement, so it is more substantive than the many one-off expectation tweaks.", "best_issue_reason": null, - "best_pr_reason": "PR 11404 is the best representative of the cluster because it contains the broadest real code fix (device handling in LoRA/GGUF dequantization) and is more central than the mostly test-only XPU enablement PRs.", + "best_pr_reason": "PR 11404 is the best overall representative because it fixes a concrete code path and spans multiple GGUF/XPU failures, whereas most other PRs only adjust test expectations for different pipelines.", "soft_edge_verdicts": [ { "left": "pull_request:11219", "right": "pull_request:12350", "accept": false, - "reason": "Different test targets and fixes: one changes autocast device handling in mixed-int8 training, the other renames/adjusts Marigold XPU test cases. Same hardware theme, but not the same underlying bug or change." + "reason": "Both are XPU-related test fixes, but they target different tests and models; no evidence of the same underlying bug or change." }, { "left": "pull_request:11219", "right": "pull_request:11458", "accept": false, - "reason": "Distinct test suites and behaviors: mixed-int8 training autocast vs Safe Diffusion test setup/requirements. Not the same concrete code path." + "reason": "One is a single mixed-int8 test tweak, the other is safe diffusion test setup changes; same platform theme, different failures." }, { "left": "pull_request:11245", "right": "pull_request:11263", "accept": false, - "reason": "Both are XPU test-failure fixes, but they cover different pipelines and assertions (Flux Redux vs LoRA fine-tuning). Not mergeable as one duplicate PR." + "reason": "Both adjust XPU test expectations, but they cover different pipelines and failure modes, so they are not the same change." }, { "left": "pull_request:11245", "right": "pull_request:11264", "accept": false, - "reason": "Different pipelines and failure modes: Flux Redux inference vs Stable Diffusion inpaint expected-slice updates. Similar pattern, but not the same bug." + "reason": "Different pipelines and expected outputs; this looks like separate XPU test stabilization work, not one duplicate fix." }, { "left": "pull_request:11245", "right": "pull_request:11266", "accept": false, - "reason": "Different pipeline and test case; one is Flux Redux, the other IP-Adapter multiple masks. Not the same underlying issue." + "reason": "Same general XPU testing theme, but the affected pipeline/test case is different." }, { "left": "pull_request:11245", "right": "pull_request:11310", "accept": false, - "reason": "Different code paths and models: Flux Redux inference vs Stable Diffusion XL K-diffusion. These are separate test fixes, not duplicates." + "reason": "These are distinct pipeline tests with different expected slices; no shared concrete bug." }, { "left": "pull_request:11264", "right": "pull_request:11266", "accept": false, - "reason": "Both adjust XPU expectations, but for different Stable Diffusion subtests and different pipelines. Similar symptom, not the same concrete bug/change." + "reason": "Both are stable-diffusion-family XPU expectation updates, but for different tests and code paths." }, { "left": "pull_request:11264", "right": "pull_request:11310", "accept": false, - "reason": "Stable Diffusion inpaint fp16 vs Stable Diffusion XL K-diffusion are different test paths with independent expectation updates." - }, - { - "left": "pull_request:11264", - "right": "pull_request:11404", - "accept": false, - "reason": "One is a test expectation update; the other changes LoRA/GGUF device handling code. Different artifact types and different problems." + "reason": "Different stable diffusion test cases; the similarity is only that both needed XPU tolerance/expectation updates." }, { "left": "pull_request:11264", "right": "pull_request:11458", "accept": false, - "reason": "Stable Diffusion inpaint fp16 test adjustment is unrelated to Safe Diffusion XPU/A100 enablement. Same platform, different failure." + "reason": "One is a single inpaint test expectation change, the other updates safe-diffusion test infrastructure and multiple cases." }, { "left": "pull_request:11264", - "right": "pull_request:12350", + "right": "pull_request:11404", "accept": false, - "reason": "Different models/tests and no shared code path: Stable Diffusion inpaint vs Marigold depth. Not a duplicate change." + "reason": "One is a pipeline test expectation tweak, the other changes LoRA/GGUF runtime code; they do not fix the same concrete issue." }, { "left": "pull_request:11265", "right": "pull_request:11459", "accept": false, - "reason": "Unrelated test cases: i2vgen_xl output tolerance tweak vs semantic diffusion/panorama XPU enablement. Not the same underlying bug." + "reason": "Both are XPU test stabilizations, but they target different pipeline suites and different assertions." }, { "left": "pull_request:11265", "right": "pull_request:12350", "accept": false, - "reason": "Different pipeline test and failure mode; only both are accelerator-oriented test tweaks." + "reason": "Distinct test cases in different model families; no indication of a shared underlying bug." }, { "left": "pull_request:11266", "right": "pull_request:11310", "accept": false, - "reason": "Different pipelines and assertions (IP-Adapter multiple masks vs SDXL K-diffusion). Same theme, but not same bug/change." + "reason": "Both are XPU image-output expectation updates, but they are for different pipelines and not mergeable as one fix." }, { "left": "pull_request:11266", "right": "pull_request:11458", "accept": false, - "reason": "IP-Adapter mask test expectation changes are separate from Safe Diffusion XPU/A100 test enablement. Not a duplicate." + "reason": "Different test files and failures; same backend theme only." }, { "left": "pull_request:11266", "right": "pull_request:11444", "accept": false, - "reason": "Different targets: IP-Adapter test expectation updates vs unidiffuser enablement/common test tweaks. Not the same concrete change." + "reason": "An IP-adapter expectation update and a unidiffuser test enablement are unrelated concrete changes." }, { "left": "pull_request:11444", "right": "pull_request:11458", "accept": false, - "reason": "Unidiffuser test enablement and Safe Diffusion XPU/A100 enablement are separate PRs with different code/test paths." + "reason": "Both touch shared test utilities, but they fix different pipeline failures and are not the same bug." }, { "left": "pull_request:11458", "right": "pull_request:12350", "accept": false, - "reason": "Safe Diffusion XPU/A100 test updates do not match Marigold XPU test renames/expectation handling. Different changes." + "reason": "Safe-diffusion and marigold are separate pipelines with separate XPU issues." }, { "left": "pull_request:11264", "right": "pull_request:12350", "accept": false, - "reason": "Different pipelines and different fix styles: Stable Diffusion inpaint expectation update vs Marigold XPU test rename/adjustment." + "reason": "Different pipelines, different test slices, different failures; only the XPU backend is shared." }, { "left": "pull_request:11266", "right": "pull_request:12350", "accept": false, - "reason": "Different test modules and model pipelines; same accelerator context is not enough to call them duplicates." + "reason": "These are unrelated pipeline test updates despite both being XPU-specific." }, { "left": "pull_request:12350", "right": "pull_request:12842", "accept": false, - "reason": "Marigold depth XPU test adjustment and PixArt Sigma test expectation update are unrelated pipeline-specific changes." + "reason": "Marigold and PixArt are different models with independent test expectations." }, { "left": "pull_request:12842", "right": "pull_request:13270", "accept": false, - "reason": "PixArt expectation updates and model parallelism backend selection are different problems and different code areas. Not the same bug." + "reason": "PixArt test expectation changes and parallelism infrastructure changes are unrelated code paths." + }, + { + "left": "pull_request:13270", + "right": "pull_request:13535", + "accept": false, + "reason": "Both mention XPU, but one is parallelism test plumbing and the other is PEFT hotswap behavior; not the same fix." } ] }, @@ -193113,13 +192985,13 @@ { "label": "pull_request", "component_index": 49, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11405-3", "nodes": [ @@ -193184,13 +193056,13 @@ { "label": "pull_request", "component_index": 50, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11445-15", "nodes": [ @@ -193632,13 +193504,13 @@ { "label": "pull_request", "component_index": 51, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11567-2", "nodes": [ @@ -193695,13 +193567,13 @@ { "label": "pull_request", "component_index": 52, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11593-2", "nodes": [ @@ -193758,13 +193630,13 @@ { "label": "pull_request", "component_index": 53, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11665-3", "nodes": [ @@ -193829,13 +193701,13 @@ { "label": "pull_request", "component_index": 54, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-76-2", "nodes": [ @@ -193892,13 +193764,13 @@ { "label": "pull_request", "component_index": 55, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11723-2", "nodes": [ @@ -193955,13 +193827,13 @@ { "label": "pull_request", "component_index": 56, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11822-2", "nodes": [ @@ -194018,13 +193890,13 @@ { "label": "pull_request", "component_index": 57, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11837-2", "nodes": [ @@ -194081,13 +193953,13 @@ { "label": "pull_request", "component_index": 58, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11860-4", "nodes": [ @@ -194181,13 +194053,13 @@ { "label": "pull_request", "component_index": 59, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-11887-2", "nodes": [ @@ -194244,13 +194116,13 @@ { "label": "pull_request", "component_index": 60, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-928-2", "nodes": [ @@ -194307,13 +194179,13 @@ { "label": "pull_request", "component_index": 61, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12023-2", "nodes": [ @@ -194370,13 +194242,13 @@ { "label": "pull_request", "component_index": 62, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12032-3", "nodes": [ @@ -194441,13 +194313,13 @@ { "label": "pull_request", "component_index": 63, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12049-2", "nodes": [ @@ -194504,13 +194376,13 @@ { "label": "pull_request", "component_index": 64, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12058-2", "nodes": [ @@ -194567,13 +194439,13 @@ { "label": "pull_request", "component_index": 65, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1209-2", "nodes": [ @@ -194630,13 +194502,13 @@ { "label": "pull_request", "component_index": 66, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12103-2", "nodes": [ @@ -194693,13 +194565,13 @@ { "label": "pull_request", "component_index": 67, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12191-2", "nodes": [ @@ -194756,13 +194628,13 @@ { "label": "pull_request", "component_index": 68, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12201-2", "nodes": [ @@ -194819,7 +194691,7 @@ { "label": "pull_request", "component_index": 69, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -194827,79 +194699,94 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", - "cluster_id": "cluster-12206-3", + "cluster_id": "cluster-12206-4", "nodes": [ "pull_request:12206", "pull_request:13075", - "pull_request:13093" + "pull_request:13093", + "pull_request:13514" ], "soft_pairs": [ "pull_request:12206|pull_request:13093", - "pull_request:13075|pull_request:13093" + "pull_request:13093|pull_request:13514", + "pull_request:13075|pull_request:13093", + "pull_request:13075|pull_request:13514" ], - "prepared_review_unit_hash": "0f97d75350cc6013451501419af70181953cb6badc987582745fa0bebbe13b59", + "prepared_review_unit_hash": "9e74dc5604f91cced30c697cef29ca8f7d9600731d52b3bed69ff4f14f7dfe06", "component_budget": { - "node_count": 3, - "item_count": 3, - "soft_pair_count": 2, - "serialized_chars": 6429, - "estimated_input_tokens": 1608, - "estimated_eval_tokens": 3472 + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9259, + "estimated_input_tokens": 2315, + "estimated_eval_tokens": 4886 }, "budget": { - "node_count": 3, - "item_count": 3, - "soft_pair_count": 2, - "serialized_chars": 6429, - "estimated_input_tokens": 1608, - "estimated_eval_tokens": 3472 + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9259, + "estimated_input_tokens": 2315, + "estimated_eval_tokens": 4886 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two PRs (13075 and 13093) are closely related fixes for the same code path in `gather_size_by_comm`, while 12206 is a separate PyTorch compatibility fix in a different file and subsystem.", - "confidence": 0.77, + "summary": "`13093` and `13514` are the same gather-device compatibility fix in `_modeling_parallel.py` and should cluster together. `13075` is related by target/file but its evidence is only soft similarity plus the shared issue target, so it should stay separate rather than being auto-merged with the other two. `12206` is a different compatibility fix in `attention_dispatch.py` and is unrelated.", + "confidence": 0.86, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 13093 is the cleanest representative of the shared cluster topic: it makes the minimal compatibility adjustment directly in `gather_size_by_comm` for older PyTorch behavior.", + "canonical_pr_reason": "`13514` is the best representative of the gather fix: it addresses the same `gather_size_by_comm` path, explicitly states the PyTorch < 2.6 compatibility constraint, and gives the most direct fallback behavior.", "best_issue_reason": null, - "best_pr_reason": "PR 13093 is the best single PR to anchor the cluster because it targets the exact failing line with a small, focused fallback for `torch.accelerator` availability.", + "best_pr_reason": "`13514` is the strongest cluster representative because it is the clearest, most self-contained version of the shared distributed-gather compatibility patch in `_modeling_parallel.py`.", "soft_edge_verdicts": [ { "left": "pull_request:12206", "right": "pull_request:13093", "accept": false, - "reason": "Different underlying bugs and code paths: 12206 guards `torch.library.custom_op`/`register_fake` in `attention_dispatch.py`, while 13093 changes distributed gather device selection in `_modeling_parallel.py`." + "reason": "Different subsystem and different bug: `12206` guards `torch.library.custom_op`/`register_fake` in `attention_dispatch.py`, while `13093` changes distributed gather device selection in `_modeling_parallel.py`." + }, + { + "left": "pull_request:13093", + "right": "pull_request:13514", + "accept": true, + "reason": "Same concrete code path and same compatibility bug in `gather_size_by_comm`; both patch older-PyTorch device selection in the same file and are plausible variants of one mergeable fix." }, { "left": "pull_request:13075", "right": "pull_request:13093", - "accept": true, - "reason": "Both PRs modify `gather_size_by_comm` in `_modeling_parallel.py` to handle older PyTorch compatibility around accelerator/device selection, so they address the same concrete code-path problem and could plausibly be merged into one fix." + "accept": false, + "reason": "They share the file and issue target, but the pairwise evidence is only soft similarity plus the common target; that is not enough to treat them as the same mergeable bugfix." + }, + { + "left": "pull_request:13075", + "right": "pull_request:13514", + "accept": false, + "reason": "Related context-parallel gather changes, but the evidence is still only shared target/file plus soft similarity, so this is not strong enough for a deterministic duplicate/merge decision." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The summary is grounded in the packet: 12206 is clearly a separate compatibility fix in `attention_dispatch.py`, while 13075 and 13093 both touch `gather_size_by_comm` in `_modeling_parallel.py` and share the same issue target. The soft-edge decisions are conservative enough, and nothing overstates the evidence." + "accept": false, + "feedback": "The overall clustering is mostly grounded, but the soft-edge verdicts are too strong for 13075. In the packet, 13075 only shares the issue target/file with 13093 and 13514; its pairwise signal is not a deterministic accept, so saying those pairs are definitely mergeable variants of the same bugfix overstates the evidence. 13093\u219413514 is well supported; 12206 is correctly separated." }, "evaluator_used": true, - "retried": false, - "accepted_nontrivial_soft_edge": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, "error_kind": null, "error_message": null }, { "label": "pull_request", "component_index": 70, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12267-2", "nodes": [ @@ -194956,13 +194843,13 @@ { "label": "pull_request", "component_index": 71, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12320-3", "nodes": [ @@ -195034,13 +194921,13 @@ { "label": "pull_request", "component_index": 72, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12322-2", "nodes": [ @@ -195097,13 +194984,13 @@ { "label": "pull_request", "component_index": 73, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12336-2", "nodes": [ @@ -195160,13 +195047,13 @@ { "label": "pull_request", "component_index": 74, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12351-2", "nodes": [ @@ -195223,13 +195110,13 @@ { "label": "pull_request", "component_index": 75, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12352-3", "nodes": [ @@ -195294,13 +195181,13 @@ { "label": "pull_request", "component_index": 76, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1236-2", "nodes": [ @@ -195357,13 +195244,13 @@ { "label": "pull_request", "component_index": 77, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12382-5", "nodes": [ @@ -195444,13 +195331,13 @@ { "label": "pull_request", "component_index": 78, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12384-2", "nodes": [ @@ -195507,13 +195394,13 @@ { "label": "pull_request", "component_index": 79, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12478-3", "nodes": [ @@ -195578,13 +195465,13 @@ { "label": "pull_request", "component_index": 80, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12545-2", "nodes": [ @@ -195641,7 +195528,7 @@ { "label": "pull_request", "component_index": 81, - "component_count": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -195649,6 +195536,69 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12555-2", + "nodes": [ + "pull_request:12555", + "pull_request:13518" + ], + "soft_pairs": [ + "pull_request:12555|pull_request:13518" + ], + "prepared_review_unit_hash": "52579e2b9b3033b3a9e7a1d411d830156a2de8a5359e1d3e04d0a544a23a8f1d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3725, + "estimated_input_tokens": 932, + "estimated_eval_tokens": 2120 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3725, + "estimated_input_tokens": 932, + "estimated_eval_tokens": 2120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs reference the same issue, but they fix different parts of onnxruntime support: one changes provider handling in `onnx_utils.py`, the other adds `onnxruntime-windowsml` to version detection in `import_utils.py`. They are related, but not the same concrete bug/change.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12555 is the broader, earlier fix and directly addresses the runtime provider-path change for `onnxruntime-windowsml`, making it the better representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 12555 is the strongest candidate because it changes the actual loading logic and is the more complete implementation of the feature/support request.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12555", + "right": "pull_request:13518", + "accept": false, + "reason": "Both mention issue 13062, but they modify different code paths: `onnx_utils.load_model` provider selection vs `import_utils` package detection. Related, but not the same fix and not something I\u2019d merge as a 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": 82, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12563-2", "nodes": [ "pull_request:12563", @@ -195703,8 +195653,8 @@ }, { "label": "pull_request", - "component_index": 82, - "component_count": 255, + "component_index": 83, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -195722,7 +195672,7 @@ "pull_request:12617|pull_request:12671", "pull_request:12617|pull_request:13481" ], - "prepared_review_unit_hash": "6ec4b8344c72082d05e585b8b93931e1b21e24112a1d4a1ddd51ee5c3743e3c2", + "prepared_review_unit_hash": "7be3e68fcd815f821114c3205cd005c5e84d95d2132c175bfa6fd5470d75ed62", "component_budget": { "node_count": 3, "item_count": 3, @@ -195744,24 +195694,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two PRs are superficially similar CI workflow fixes, but they target different workflows and are not the same underlying change; the third PR is a separate model/code-path fix. No duplicate cluster is present here.", - "confidence": 0.92, + "summary": "No PR duplicates here. Two PRs are loosely related CI dependency pin/unpin fixes, but they target different workflows and should stay separate; the BnB model fix is unrelated.", + "confidence": 0.86, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "PR #12671 is the broadest and most representative CI fix in the set, updating the nightly/release workflow to install prerelease transformers and handle huggingface_hub/accelerate compatibility.", "best_issue_reason": null, - "best_pr_reason": "PR #12671 is the broadest representative of the CI/workflow-related changes, but it is still distinct from #12617 and unrelated to #13481, so there is no true canonical PR for a duplicate cluster.", + "best_pr_reason": "PR #12671 best fits the cluster as the clearest representative CI dependency workaround, and it covers multiple jobs in one workflow.", "soft_edge_verdicts": [ { "left": "pull_request:12617", "right": "pull_request:12671", "accept": false, - "reason": "Both edit CI workflows to update test dependencies, but they touch different workflow files and differ in the exact install/uninstall steps. They look like related maintenance, not the same concrete fix that could be merged into one PR." + "reason": "Both are CI workflow dependency fixes, but they affect different workflow files and jobs (push tests vs nightly/release tests). They share a similar root cause but are not the same concrete change and would not naturally merge into one PR." }, { "left": "pull_request:12617", "right": "pull_request:13481", "accept": false, - "reason": "#12617 is a CI workflow dependency pinning change, while #13481 fixes a BnB int8 matmul issue in transformer_wan_animate. Different code paths and different failure modes." + "reason": "These are unrelated changes: one is a CI workflow dependency update, the other is a model code fix for BnB int8 tensor shape handling." } ] }, @@ -195774,14 +195724,14 @@ }, { "label": "pull_request", - "component_index": 83, - "component_count": 255, + "component_index": 84, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 2, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12622-22", "nodes": [ @@ -196360,14 +196310,14 @@ }, { "label": "pull_request", - "component_index": 83, - "component_count": 255, + "component_index": 84, + "component_count": 265, "review_unit_index": 2, "review_unit_count": 2, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12622-22", "nodes": [ @@ -196597,14 +196547,14 @@ }, { "label": "pull_request", - "component_index": 84, - "component_count": 255, + "component_index": 85, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12703-4", "nodes": [ @@ -196683,14 +196633,14 @@ }, { "label": "pull_request", - "component_index": 85, - "component_count": 255, + "component_index": 86, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12724-10", "nodes": [ @@ -196957,14 +196907,14 @@ }, { "label": "pull_request", - "component_index": 86, - "component_count": 255, + "component_index": 87, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12725-2", "nodes": [ @@ -197020,14 +196970,14 @@ }, { "label": "pull_request", - "component_index": 87, - "component_count": 255, + "component_index": 88, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12743-2", "nodes": [ @@ -197083,14 +197033,14 @@ }, { "label": "pull_request", - "component_index": 88, - "component_count": 255, + "component_index": 89, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12762-2", "nodes": [ @@ -197149,8 +197099,8 @@ }, { "label": "pull_request", - "component_index": 89, - "component_count": 255, + "component_index": 90, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -197158,6 +197108,93 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12784-5", + "nodes": [ + "pull_request:12784", + "pull_request:13520", + "pull_request:13522", + "pull_request:13524", + "pull_request:13528" + ], + "soft_pairs": [ + "pull_request:12784|pull_request:13520", + "pull_request:13520|pull_request:13522", + "pull_request:13520|pull_request:13524", + "pull_request:13524|pull_request:13528" + ], + "prepared_review_unit_hash": "4336a87c9508e5e13bd5daf147961446f64fc8c6254df0649b5aa147ac4f6326", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 9725, + "estimated_input_tokens": 2432, + "estimated_eval_tokens": 5120 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 9725, + "estimated_input_tokens": 2432, + "estimated_eval_tokens": 5120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are mostly unrelated example-script fixes. Two PRs in the same Flux2 Dreambooth script point at the same AttributeError theme but propose conflicting arg names, so they are not duplicates; the diffusion_dpo, onnxruntime, and textual_inversion changes are separate bugs in different code paths.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the items address different scripts and different bugs, and the Flux2 pair is conflicting rather than a mergeable duplicate.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR for deduplication; 12784 and 13520 are the closest in wording but their fixes conflict, while the others are unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12784", + "right": "pull_request:13520", + "accept": false, + "reason": "Same file and similar title, but they change opposite sides of the argument-name mismatch (`validation_image_path` vs `validation_image`). They are not the same mergeable change." + }, + { + "left": "pull_request:13520", + "right": "pull_request:13522", + "accept": false, + "reason": "Different example scripts and different bugs: one fixes a validation-image attribute error, the other fixes `beta_dpo` usage in the IPO loss calculation." + }, + { + "left": "pull_request:13520", + "right": "pull_request:13524", + "accept": false, + "reason": "Unrelated code paths in different scripts; one is Flux2 Dreambooth validation, the other is onnxruntime logging/argument handling." + }, + { + "left": "pull_request:13524", + "right": "pull_request:13528", + "accept": false, + "reason": "Different scripts and different fixes: one changes logger/reporting checks, the other adds a missing `--report_to` argument to textual inversion bf16." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12788-3", "nodes": [ "pull_request:12788", @@ -197230,14 +197267,14 @@ }, { "label": "pull_request", - "component_index": 90, - "component_count": 255, + "component_index": 92, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12865-2", "nodes": [ @@ -197293,14 +197330,14 @@ }, { "label": "pull_request", - "component_index": 91, - "component_count": 255, + "component_index": 93, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12869-2", "nodes": [ @@ -197356,14 +197393,14 @@ }, { "label": "pull_request", - "component_index": 92, - "component_count": 255, + "component_index": 94, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12876-2", "nodes": [ @@ -197419,14 +197456,14 @@ }, { "label": "pull_request", - "component_index": 93, - "component_count": 255, + "component_index": 95, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-12978-2", "nodes": [ @@ -197482,14 +197519,14 @@ }, { "label": "pull_request", - "component_index": 94, - "component_count": 255, + "component_index": 96, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13048-2", "nodes": [ @@ -197545,14 +197582,14 @@ }, { "label": "pull_request", - "component_index": 95, - "component_count": 255, + "component_index": 97, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13094-2", "nodes": [ @@ -197608,14 +197645,14 @@ }, { "label": "pull_request", - "component_index": 96, - "component_count": 255, + "component_index": 98, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13102-3", "nodes": [ @@ -197689,14 +197726,14 @@ }, { "label": "pull_request", - "component_index": 97, - "component_count": 255, + "component_index": 99, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13108-2", "nodes": [ @@ -197752,8 +197789,8 @@ }, { "label": "pull_request", - "component_index": 98, - "component_count": 255, + "component_index": 100, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -197761,6 +197798,132 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13109-2", + "nodes": [ + "pull_request:13109", + "pull_request:13517" + ], + "soft_pairs": [ + "pull_request:13109|pull_request:13517" + ], + "prepared_review_unit_hash": "c587fd507c56a5ac432a7b5567a2a86c56d1e06e61c6b71943bdac03275a816d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4301, + "estimated_input_tokens": 1076, + "estimated_eval_tokens": 2408 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4301, + "estimated_input_tokens": 1076, + "estimated_eval_tokens": 2408 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch Sana guidance handling, but they address different failure points and are not safe duplicates: one defaults missing guidance inside the embedding module, while the other fixes forward-path dispatch and explicit validation when `guidance_embeds=True`.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13517 is the better canonical PR: it targets the model\u2019s actual forward dispatch bug for `guidance_embeds=True` and handles the non-guidance pipeline mismatch explicitly, rather than only papering over missing guidance inside one helper.", + "best_issue_reason": null, + "best_pr_reason": "PR #13517 is the best fit because it addresses the concrete code-path problem in `SanaTransformer2DModel.forward` and is the more complete, safer fix for the crash scenario.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13109", + "right": "pull_request:13517", + "accept": false, + "reason": "Related theme, but not the same change: #13109 makes `SanaCombinedTimestepGuidanceEmbeddings` tolerate missing guidance by defaulting to ones, while #13517 changes the transformer forward routing and raises when `guidance_embeds=True` without guidance. They fix different layers and could conflict in 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": 101, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13110-2", + "nodes": [ + "pull_request:13110", + "pull_request:13516" + ], + "soft_pairs": [ + "pull_request:13110|pull_request:13516" + ], + "prepared_review_unit_hash": "e91fa0e881a0fd250df3d84cf74084f0c5dacf378046e87d60e460859553a71f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4179, + "estimated_input_tokens": 1045, + "estimated_eval_tokens": 2346 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4179, + "estimated_input_tokens": 1045, + "estimated_eval_tokens": 2346 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same fix for AuraFlow\u2019s positional-embedding bounds bug: they add a guard that rejects latent sizes larger than the pretrained grid to prevent out-of-range indexing / CUDA asserts. They should be treated as duplicates, with one canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13516 is the stronger canonical choice because it contains the same bounds check plus a fuller explanation of the crash mode and failure context for oversized latents.", + "best_issue_reason": null, + "best_pr_reason": "PR 13516 best represents the cluster because it targets the same concrete code path, explains the CUDA/device-side-assert failure, and adds the protective validation needed to fix it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13110", + "right": "pull_request:13516", + "accept": true, + "reason": "Same file, same issue target, and same underlying fix: reject latents larger than the positional embedding grid before centered indexing can go out of range. These are duplicate PRs for 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": 102, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13118-3", "nodes": [ "pull_request:13118", @@ -197830,14 +197993,14 @@ }, { "label": "pull_request", - "component_index": 99, - "component_count": 255, + "component_index": 103, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13182-2", "nodes": [ @@ -197893,14 +198056,14 @@ }, { "label": "pull_request", - "component_index": 100, - "component_count": 255, + "component_index": 104, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13213-3", "nodes": [ @@ -197971,14 +198134,14 @@ }, { "label": "pull_request", - "component_index": 101, - "component_count": 255, + "component_index": 105, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13230-2", "nodes": [ @@ -198034,8 +198197,8 @@ }, { "label": "pull_request", - "component_index": 102, - "component_count": 255, + "component_index": 106, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -198043,6 +198206,72 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13246-2", + "nodes": [ + "pull_request:13246", + "pull_request:13512" + ], + "soft_pairs": [ + "pull_request:13246|pull_request:13512" + ], + "prepared_review_unit_hash": "2076e6f2a419f6e2e56946e9cb015062e3f298d9e8975317d464c3f27395a67d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4469, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4469, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs fix the same FlowMatchEulerDiscreteScheduler bug: sigma_min/sigma_max were being stored after shifting, which caused set_timesteps to apply the shift twice. PR #13246 is the stronger canonical candidate because it includes tests and is the more complete patch; PR #13512 is a near-identical follow-up/duplicate on the same code path.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13246 is the best canonical PR: it fixes the bug in the scheduler and includes the accompanying test file, making it the more complete and representative change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13246 is the best overall PR because it contains the core code fix plus tests, whereas #13512 is the same fix with only a slightly different explanation/commenting and no broader completeness.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13246", + "right": "pull_request:13512", + "accept": true, + "reason": "Accept: both PRs modify the same scheduler to move sigma_min/sigma_max assignment before shifting, addressing the same double-shift bug in the same code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: both PRs touch the same scheduler file, target the same issue, and implement the same unshifted sigma_min/sigma_max fix. The soft-edge acceptance is conservative enough, and choosing #13246 as canonical because it also includes tests is supported by the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 107, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13250-2", "nodes": [ "pull_request:13250", @@ -198097,8 +198326,8 @@ }, { "label": "pull_request", - "component_index": 103, - "component_count": 255, + "component_index": 108, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -198106,6 +198335,132 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13272-2", + "nodes": [ + "pull_request:13272", + "pull_request:13513" + ], + "soft_pairs": [ + "pull_request:13272|pull_request:13513" + ], + "prepared_review_unit_hash": "48d81b9f9d08f65442c1ebd5f13edcc71be7dd97dd5bb1d59a3a9c53b3264bfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same Lumina2 bug: `image_seq_len` was incorrectly derived from latent channels instead of spatial patch tokens. The fixes are effectively the same code change against the same file and issue target, so they should be clustered together.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13513 is the cleaner canonical PR: it makes the same fix as #13272, includes a more explicit explanation of the bug, and is the later refinement of the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13513 is the best representative because it is the same functional fix with clearer rationale and no extra unrelated scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13272", + "right": "pull_request:13513", + "accept": true, + "reason": "Same underlying Lumina2 bug, same explicit issue target, same file, and the diff changes the same computation of `image_seq_len` from channels to spatial patch tokens. The second PR is essentially a rewrite/commented version of the first, so 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": 109, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13273-2", + "nodes": [ + "pull_request:13273", + "pull_request:13510" + ], + "soft_pairs": [ + "pull_request:13273|pull_request:13510" + ], + "prepared_review_unit_hash": "3e1663c393bb740e2679c854980fb6473e94a49f3851b0d126cc05452681b742", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5213, + "estimated_input_tokens": 1304, + "estimated_eval_tokens": 2864 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5213, + "estimated_input_tokens": 1304, + "estimated_eval_tokens": 2864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two DreamBooth PRs share the same tracking issue, but they fix different bugs in the validation path: one prevents gradient tracking during validation, the other restores fp32 training params after validation mutates model dtype. Not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13510 is the more concrete, failure-specific fix: it directly addresses the fp16 crash after validation by re-upcasting trainable params after `log_validation` mutates model dtype.", + "best_issue_reason": null, + "best_pr_reason": "PR #13510 is the best representative of the cluster because it targets the explicit crash mode described in its title and diff, rather than a broader validation hygiene change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13273", + "right": "pull_request:13510", + "accept": false, + "reason": "Related through the same issue target, but not the same underlying bug. #13273 wraps validation in `torch.no_grad()`, while #13510 fixes dtype corruption after validation causes fp16 training to crash. Different code paths and failure modes." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13289-2", "nodes": [ "pull_request:13289", @@ -198160,14 +198515,14 @@ }, { "label": "pull_request", - "component_index": 104, - "component_count": 255, + "component_index": 111, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13307-3", "nodes": [ @@ -198241,14 +198596,14 @@ }, { "label": "pull_request", - "component_index": 105, - "component_count": 255, + "component_index": 112, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1334-2", "nodes": [ @@ -198304,14 +198659,14 @@ }, { "label": "pull_request", - "component_index": 106, - "component_count": 255, + "component_index": 113, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13354-2", "nodes": [ @@ -198367,14 +198722,14 @@ }, { "label": "pull_request", - "component_index": 107, - "component_count": 255, + "component_index": 114, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13378-2", "nodes": [ @@ -198430,8 +198785,8 @@ }, { "label": "pull_request", - "component_index": 108, - "component_count": 255, + "component_index": 115, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -198447,40 +198802,40 @@ "soft_pairs": [ "pull_request:13379|pull_request:13449" ], - "prepared_review_unit_hash": "01d59303cce18c62e3d0de4e1ca916a76e9f15e530ca5308130c9f39b4e83b4b", + "prepared_review_unit_hash": "ed58cac4034ce4fd2339a2fe7414959ff302ae9bf232973fa7627bd2900401aa", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6683, - "estimated_input_tokens": 1671, - "estimated_eval_tokens": 3598 + "serialized_chars": 6685, + "estimated_input_tokens": 1672, + "estimated_eval_tokens": 3600 }, "budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6683, - "estimated_input_tokens": 1671, - "estimated_eval_tokens": 3598 + "serialized_chars": 6685, + "estimated_input_tokens": 1672, + "estimated_eval_tokens": 3600 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two QwenImage PRs share the same issue target and subsystem, but they fix different concrete behaviors: one repairs negative prompt embedding handling when the mask is absent, the other changes CFG gating so precomputed negative_prompt_embeds still enable true CFG. They are related, but not the same change.", - "confidence": 0.87, + "summary": "Both PRs target QwenImage negative-prompt handling, but they fix different concrete failure modes: #13379 fixes the embedded-text path when the mask is absent, while #13449 changes CFG gating so precomputed negative embeddings still count as a negative prompt. Related, but not the same change.", + "confidence": 0.83, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #13379 is the stronger representative: it is already merged, has broader pipeline/test coverage, and directly fixes the concrete failure mode around negative_prompt_embeds with a missing mask.", + "canonical_pr_reason": "PR #13379 is the best canonical PR because it is merged, has explicit issue linkage, and appears to be the broader accepted fix for the negative-prompt/missing-mask path across QwenImage variants.", "best_issue_reason": null, - "best_pr_reason": "PR #13379 is the best overall fit for the cluster because it is merged, well-scoped, and has evidence of validating the fix across multiple QwenImage pipelines and tests.", + "best_pr_reason": "PR #13379 is the strongest representative of the cluster: it is merged, touches the relevant code paths, and addresses the concrete negative_prompt_embeds-with-none-mask bug directly.", "soft_edge_verdicts": [ { "left": "pull_request:13379", "right": "pull_request:13449", "accept": false, - "reason": "Both touch QwenImage CFG/negative prompt handling, but they address different bugs: 13379 fixes embedding/mask handling in encoder paths, while 13449 changes the has_neg_prompt condition for precomputed embeddings. Same target is not enough to treat them as the same underlying change." + "reason": "They are adjacent QwenImage CFG/negative-prompt fixes, but not the same underlying bug. #13379 focuses on handling a missing mask in embedding extraction; #13449 changes the has_neg_prompt condition so CFG is not silently disabled when negative embeddings are supplied without a mask." } ] }, @@ -198493,8 +198848,71 @@ }, { "label": "pull_request", - "component_index": 109, - "component_count": 255, + "component_index": 116, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13390-2", + "nodes": [ + "pull_request:13390", + "pull_request:13511" + ], + "soft_pairs": [ + "pull_request:13390|pull_request:13511" + ], + "prepared_review_unit_hash": "a621f5608f9ba657d09cf815feca4d96a9b71b1c66443edb9cb6b8578a3f0f41", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5587, + "estimated_input_tokens": 1397, + "estimated_eval_tokens": 3050 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5587, + "estimated_input_tokens": 1397, + "estimated_eval_tokens": 3050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated feature PRs: one adds the LongCat-AudioDiT pipeline, the other adds AutoPipelineForText2Audio support. They overlap on package wiring/docs, but not on the same code-path change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13390 is the better canonical PR because it is merged and contains a complete, concrete feature implementation for a new LongCat-AudioDiT pipeline, with model, pipeline, docs, and tests. PR #13511 is a separate auto-pipeline feature and not the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13390 is the best representative of the cluster: it is the larger, merged, self-contained change. PR #13511 is only loosely related via shared framework wiring and should not be grouped as the same PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13390", + "right": "pull_request:13511", + "accept": false, + "reason": "Do not merge: #13390 adds a specific LongCat-AudioDiT pipeline implementation, while #13511 adds AutoPipelineForText2Audio support. They touch some shared init/dummy/docs files, but the underlying changes and code paths are different and would not plausibly 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": 117, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -198521,82 +198939,82 @@ "pull_request:13408|pull_request:13413", "pull_request:13413|pull_request:13414" ], - "prepared_review_unit_hash": "336fc555d4a290eda2123203550d135f28d78f2650cb9389645fc1ba9f0ae61b", + "prepared_review_unit_hash": "f7507b413fa09976f04a284c1405b2844955f342d44a786b88cbb50bd4d61431", "component_budget": { "node_count": 6, "item_count": 6, "soft_pair_count": 8, - "serialized_chars": 18855, - "estimated_input_tokens": 4714, - "estimated_eval_tokens": 9684 + "serialized_chars": 18863, + "estimated_input_tokens": 4716, + "estimated_eval_tokens": 9688 }, "budget": { "node_count": 6, "item_count": 6, "soft_pair_count": 8, - "serialized_chars": 18855, - "estimated_input_tokens": 4714, - "estimated_eval_tokens": 9684 + "serialized_chars": 18863, + "estimated_input_tokens": 4716, + "estimated_eval_tokens": 9688 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are all small text/logging cleanup changes, but they target different files and different concrete edits. They are thematically similar, not duplicates of the same underlying fix.", - "confidence": 0.88, + "summary": "This cluster is a set of loosely related cleanup PRs (docstring grammar, duplicate words, and missing f-string prefixes), but most pairs are too broad to be true duplicates.", + "confidence": 0.78, "canonical_issue_reason": null, - "canonical_pr_reason": "No issue-linked canonical candidate exists. PR 13408 is the best representative PR because it is the broadest cleanup and most clearly captures the overall docstring/error-message grammar theme.", + "canonical_pr_reason": "PR 13408 is the best cluster representative: it is a broad, closed docstring/error-message cleanup and most closely matches the shared theme of the cluster without being overly narrow.", "best_issue_reason": null, - "best_pr_reason": "PR 13408 is the most representative of the cluster: it spans several docstring/error-message grammar fixes across multiple areas, making it the best umbrella example among otherwise independent cleanup PRs.", + "best_pr_reason": "PR 13408 is the strongest overall representative because it has the broadest cleanup scope and best reflects the cluster\u2019s recurring grammar/docstring fix pattern.", "soft_edge_verdicts": [ { "left": "pull_request:13402", "right": "pull_request:13408", "accept": false, - "reason": "Both are wording cleanup PRs, but they touch different sets of files and different specific text issues; not the same concrete change." + "reason": "Same general cleanup theme, but the edits are in different files with different wording fixes; not the same concrete bug or change." }, { "left": "pull_request:13402", "right": "pull_request:13414", "accept": false, - "reason": "Similar documentation cleanup theme, but the edits are distinct and span different code paths/files; too broad to treat as duplicates." + "reason": "Both are grammar/docstring cleanup PRs, but they touch different modules and fix different text issues; too broad to merge as one change." }, { "left": "pull_request:13402", "right": "pull_request:13403", "accept": false, - "reason": "One fixes duplicate words in docstrings/error messages, the other fixes missing f-string prefixes in log messages; related style category but different bug/change." + "reason": "13403 fixes missing f-string prefixes in BnB quantizer logs, which is a different issue than 13402\u2019s duplicate-word/docstring cleanup." }, { "left": "pull_request:13402", "right": "pull_request:13413", "accept": false, - "reason": "These address different textual issues: duplicate-word cleanup versus possessive grammar fixes in model docstrings." + "reason": "Both edit model docs, but they address different models and different wording mistakes; not the same underlying fix." }, { "left": "pull_request:13403", "right": "pull_request:13407", "accept": false, - "reason": "Both concern missing f-string prefixes, but they affect different modules and code paths; not one concrete fix." + "reason": "Both involve f-string corrections, but across different pipelines and code paths; this looks like separate cleanup work, not one duplicate change." }, { "left": "pull_request:13408", "right": "pull_request:13414", "accept": false, - "reason": "Shared file overlap is not enough here; the PRs make different grammar/docstring edits and are not the same underlying change." + "reason": "They share a broad grammar-cleanup theme, but the actual edits are different across different files; not the same concrete PR." }, { "left": "pull_request:13408", "right": "pull_request:13413", "accept": false, - "reason": "PR 13413 is a narrow 'its' fix in model docstrings, while 13408 is a broader grammar cleanup across multiple files." + "reason": "13413 is a focused possessive-grammar cleanup in autoencoder docs, while 13408 is a wider mix of docstring/error-message edits; not a duplicate." }, { "left": "pull_request:13413", "right": "pull_request:13414", "accept": false, - "reason": "Both are grammar-oriented, but they fix different wording problems in different files and are not merge-equivalent." + "reason": "Both are wording fixes, but they target different subsystems and different exact text changes; too little evidence they are the same change." } ] }, @@ -198609,14 +199027,14 @@ }, { "label": "pull_request", - "component_index": 110, - "component_count": 255, + "component_index": 118, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13412-2", "nodes": [ @@ -198672,14 +199090,14 @@ }, { "label": "pull_request", - "component_index": 111, - "component_count": 255, + "component_index": 119, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13417-2", "nodes": [ @@ -198735,14 +199153,14 @@ }, { "label": "pull_request", - "component_index": 112, - "component_count": 255, + "component_index": 120, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13420-2", "nodes": [ @@ -198798,8 +199216,8 @@ }, { "label": "pull_request", - "component_index": 113, - "component_count": 255, + "component_index": 121, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -198807,6 +199225,69 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13455-2", + "nodes": [ + "pull_request:13455", + "pull_request:13509" + ], + "soft_pairs": [ + "pull_request:13455|pull_request:13509" + ], + "prepared_review_unit_hash": "75add2e745c8be349b1207202ecc5720a6e095a39dd23ea9a80359c2532d432c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3185, + "estimated_input_tokens": 797, + "estimated_eval_tokens": 1850 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3185, + "estimated_input_tokens": 797, + "estimated_eval_tokens": 1850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are effectively the same change: they update the Flux 2 Klein DreamBooth script\u2019s `text_encoder_out_layers` default from `[10, 20, 30]` to `[9, 18, 27]` and both target issue #13445. They are duplicates and can be merged into one PR.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13455 is the better canonical PR because it is earlier, explicitly states the fix target, and has the same exact code change as the other PR.", + "best_issue_reason": null, + "best_pr_reason": "PR #13455 is the strongest representative of the cluster: same file, same diff, same issue target, and a clearer fix-oriented title.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13455", + "right": "pull_request:13509", + "accept": true, + "reason": "Identical code change in the same file, same default values, and both explicitly target the same issue (#13445); these are 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": 122, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13456-2", "nodes": [ "pull_request:13456", @@ -198861,14 +199342,14 @@ }, { "label": "pull_request", - "component_index": 114, - "component_count": 255, + "component_index": 123, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13467-2", "nodes": [ @@ -198924,14 +199405,14 @@ }, { "label": "pull_request", - "component_index": 115, - "component_count": 255, + "component_index": 124, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13468-2", "nodes": [ @@ -198987,14 +199468,14 @@ }, { "label": "pull_request", - "component_index": 116, - "component_count": 255, + "component_index": 125, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13476-2", "nodes": [ @@ -199050,8 +199531,8 @@ }, { "label": "pull_request", - "component_index": 117, - "component_count": 255, + "component_index": 126, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -199059,6 +199540,69 @@ "source": "llm", "cache_hit": false, "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13529-2", + "nodes": [ + "pull_request:13529", + "pull_request:13531" + ], + "soft_pairs": [ + "pull_request:13529|pull_request:13531" + ], + "prepared_review_unit_hash": "e8ba520ca6b4a4d4c28149133fc149c6d5fbc32a0c8301a81c0e24fd49b35a2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3804, + "estimated_input_tokens": 951, + "estimated_eval_tokens": 2158 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3804, + "estimated_input_tokens": 951, + "estimated_eval_tokens": 2158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated PRs in different example training scripts: one fixes a Wuerstchen model-card dtype/AttributeError issue, the other fixes sana_sprint model-card save by removing an unsupported argument. They share a broad save-path theme but not the same underlying bug or patch.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a true duplicate of the other. If one must be surfaced as the most representative item, 13531 is slightly more specific about the failure mode, but it does not subsume 13529.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13529", + "right": "pull_request:13531", + "accept": false, + "reason": "Reject: different scripts, different concrete fixes, and different failure modes. 13529 hardcodes float16 in Wuerstchen model-card generation; 13531 removes instance_prompt from sana_sprint save_model_card. They are not the same underlying bug 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": 127, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-157-2", "nodes": [ "pull_request:1361", @@ -199113,14 +199657,14 @@ }, { "label": "pull_request", - "component_index": 118, - "component_count": 255, + "component_index": 128, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1383-3", "nodes": [ @@ -199191,14 +199735,14 @@ }, { "label": "pull_request", - "component_index": 119, - "component_count": 255, + "component_index": 129, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1446-3", "nodes": [ @@ -199262,14 +199806,14 @@ }, { "label": "pull_request", - "component_index": 120, - "component_count": 255, + "component_index": 130, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1557-2", "nodes": [ @@ -199325,14 +199869,14 @@ }, { "label": "pull_request", - "component_index": 121, - "component_count": 255, + "component_index": 131, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1567-2", "nodes": [ @@ -199388,14 +199932,14 @@ }, { "label": "pull_request", - "component_index": 122, - "component_count": 255, + "component_index": 132, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1691-2", "nodes": [ @@ -199451,14 +199995,14 @@ }, { "label": "pull_request", - "component_index": 123, - "component_count": 255, + "component_index": 133, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1694-3", "nodes": [ @@ -199529,14 +200073,14 @@ }, { "label": "pull_request", - "component_index": 124, - "component_count": 255, + "component_index": 134, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1710-3", "nodes": [ @@ -199600,14 +200144,14 @@ }, { "label": "pull_request", - "component_index": 125, - "component_count": 255, + "component_index": 135, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1711-2", "nodes": [ @@ -199663,14 +200207,14 @@ }, { "label": "pull_request", - "component_index": 126, - "component_count": 255, + "component_index": 136, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1803-2", "nodes": [ @@ -199726,14 +200270,14 @@ }, { "label": "pull_request", - "component_index": 127, - "component_count": 255, + "component_index": 137, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1870-2", "nodes": [ @@ -199789,14 +200333,14 @@ }, { "label": "pull_request", - "component_index": 128, - "component_count": 255, + "component_index": 138, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1893-2", "nodes": [ @@ -199852,14 +200396,14 @@ }, { "label": "pull_request", - "component_index": 129, - "component_count": 255, + "component_index": 139, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-1906-2", "nodes": [ @@ -199915,8 +200459,8 @@ }, { "label": "pull_request", - "component_index": 130, - "component_count": 255, + "component_index": 140, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", @@ -199935,7 +200479,7 @@ "pull_request:2067|pull_request:2147", "pull_request:2096|pull_request:2147" ], - "prepared_review_unit_hash": "4b269ce556d1ad28cdb8a80db9d2f03d99dad3485ae49d8cead2a87b65c0d9e5", + "prepared_review_unit_hash": "82935e60182d57dabd2f2815ebf7f72eade0be9ac1efd565f421e03d0be4bafa", "component_budget": { "node_count": 3, "item_count": 3, @@ -199957,36 +200501,36 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "All three PRs target the same legacy Stable Diffusion inpaint bug: mask tensors were being handled at the wrong shape/scale and the final latents were incorrectly noised. PR #2147 is the merged, most complete fix with tests, so it is the best canonical PR.", - "confidence": 0.93, + "summary": "All three pull requests target the same legacy Stable Diffusion inpaint bug/fix set: resizing the mask tensor to latent size and preventing extra noise from being added to the final latents. PR 2147 appears to be the finalized, merged version with tests; 2067 and 2096 are earlier overlapping attempts.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #2147 is the merged, most complete implementation of the legacy inpaint fix and includes tests; it covers the same concrete mask-resize/noise bug as the other two PRs.", + "canonical_pr_reason": "PR 2147 is the canonical PR: it is merged, covers the same concrete legacy inpaint code path, and looks like the most complete/finalized fix with accompanying tests.", "best_issue_reason": null, - "best_pr_reason": "#2147 is the strongest representative because it is merged, addresses the full legacy inpaint bug path, and adds regression tests. The other PRs are earlier partial/alternative implementations of the same fix.", + "best_pr_reason": "PR 2147 is the best representative overall because it is merged and most fully addresses the underlying bug, while the other two are earlier overlapping iterations.", "soft_edge_verdicts": [ { "left": "pull_request:2067", "right": "pull_request:2096", "accept": true, - "reason": "Same concrete bug in the same pipeline: resizing/formatting the mask tensor for legacy inpainting and preventing noise from being added to final latents. The changes are overlapping enough to plausibly merge into one PR." + "reason": "Same legacy inpaint bug/fix set in the same file: both address scaling the mask tensor to latent size and avoiding noise on final latents, so they look like overlapping iterations of one fix." }, { "left": "pull_request:2067", "right": "pull_request:2147", "accept": true, - "reason": "Both PRs fix the same legacy inpaint code path: mask tensor resizing/handling and final-latent noise behavior. #2147 is a cleaner final form, but the underlying change is the same." + "reason": "Same concrete bug in the same code path; PR 2147 is a later, more complete version of the same legacy inpaint mask-resize/noise fix." }, { "left": "pull_request:2096", "right": "pull_request:2147", "accept": true, - "reason": "These are clearly the same bug fix in the same file and code path, with essentially the same goal of correcting mask tensor scaling and latent noise handling." + "reason": "Both target the same underlying legacy inpaint correction, and PR 2147 clearly refines the same fix into the merged final form." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet and stays reasonably conservative. All three PRs clearly target the same legacy inpaint code path, and the canonical choice of #2147 is supported by it being merged and including tests. The soft-edge accepts are also plausible because the diffs overlap on the same file and same bugfix theme, so they look mergeable into a single PR." + "feedback": "The summary is well grounded in the packet: all three PRs target the same legacy inpaint code path and the same mask-resize / final-latents noise fix, and PR 2147 is the only merged one with a test file. The pairwise overlap verdicts are conservative enough based on the shared file and closely related diffs." }, "evaluator_used": true, "retried": false, @@ -199996,14 +200540,14 @@ }, { "label": "pull_request", - "component_index": 131, - "component_count": 255, + "component_index": 141, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2072-2", "nodes": [ @@ -200059,14 +200603,14 @@ }, { "label": "pull_request", - "component_index": 132, - "component_count": 255, + "component_index": 142, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2125-2", "nodes": [ @@ -200122,14 +200666,14 @@ }, { "label": "pull_request", - "component_index": 133, - "component_count": 255, + "component_index": 143, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-44-3", "nodes": [ @@ -200193,14 +200737,14 @@ }, { "label": "pull_request", - "component_index": 134, - "component_count": 255, + "component_index": 144, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2206-4", "nodes": [ @@ -200282,14 +200826,14 @@ }, { "label": "pull_request", - "component_index": 135, - "component_count": 255, + "component_index": 145, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2217-2", "nodes": [ @@ -200345,14 +200889,14 @@ }, { "label": "pull_request", - "component_index": 136, - "component_count": 255, + "component_index": 146, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2281-2", "nodes": [ @@ -200408,14 +200952,14 @@ }, { "label": "pull_request", - "component_index": 137, - "component_count": 255, + "component_index": 147, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-302-2", "nodes": [ @@ -200471,14 +201015,14 @@ }, { "label": "pull_request", - "component_index": 138, - "component_count": 255, + "component_index": 148, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2417-2", "nodes": [ @@ -200537,14 +201081,14 @@ }, { "label": "pull_request", - "component_index": 139, - "component_count": 255, + "component_index": 149, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2450-2", "nodes": [ @@ -200600,14 +201144,14 @@ }, { "label": "pull_request", - "component_index": 140, - "component_count": 255, + "component_index": 150, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2527-2", "nodes": [ @@ -200663,14 +201207,14 @@ }, { "label": "pull_request", - "component_index": 141, - "component_count": 255, + "component_index": 151, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2547-3", "nodes": [ @@ -200734,14 +201278,14 @@ }, { "label": "pull_request", - "component_index": 142, - "component_count": 255, + "component_index": 152, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2621-6", "nodes": [ @@ -200829,14 +201373,14 @@ }, { "label": "pull_request", - "component_index": 143, - "component_count": 255, + "component_index": 153, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2723-2", "nodes": [ @@ -200892,14 +201436,14 @@ }, { "label": "pull_request", - "component_index": 144, - "component_count": 255, + "component_index": 154, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-926-2", "nodes": [ @@ -200955,14 +201499,14 @@ }, { "label": "pull_request", - "component_index": 145, - "component_count": 255, + "component_index": 155, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2918-2", "nodes": [ @@ -201018,14 +201562,14 @@ }, { "label": "pull_request", - "component_index": 146, - "component_count": 255, + "component_index": 156, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-2963-3", "nodes": [ @@ -201089,14 +201633,14 @@ }, { "label": "pull_request", - "component_index": 147, - "component_count": 255, + "component_index": 157, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3024-2", "nodes": [ @@ -201152,14 +201696,14 @@ }, { "label": "pull_request", - "component_index": 148, - "component_count": 255, + "component_index": 158, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3083-2", "nodes": [ @@ -201215,14 +201759,14 @@ }, { "label": "pull_request", - "component_index": 149, - "component_count": 255, + "component_index": 159, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3084-2", "nodes": [ @@ -201278,14 +201822,14 @@ }, { "label": "pull_request", - "component_index": 150, - "component_count": 255, + "component_index": 160, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3308-3", "nodes": [ @@ -201356,14 +201900,14 @@ }, { "label": "pull_request", - "component_index": 151, - "component_count": 255, + "component_index": 161, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3330-3", "nodes": [ @@ -201427,14 +201971,14 @@ }, { "label": "pull_request", - "component_index": 152, - "component_count": 255, + "component_index": 162, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3414-2", "nodes": [ @@ -201490,14 +202034,14 @@ }, { "label": "pull_request", - "component_index": 153, - "component_count": 255, + "component_index": 163, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3435-2", "nodes": [ @@ -201553,14 +202097,14 @@ }, { "label": "pull_request", - "component_index": 154, - "component_count": 255, + "component_index": 164, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3437-2", "nodes": [ @@ -201616,14 +202160,14 @@ }, { "label": "pull_request", - "component_index": 155, - "component_count": 255, + "component_index": 165, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3479-2", "nodes": [ @@ -201679,14 +202223,14 @@ }, { "label": "pull_request", - "component_index": 156, - "component_count": 255, + "component_index": 166, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-361-2", "nodes": [ @@ -201742,14 +202286,14 @@ }, { "label": "pull_request", - "component_index": 157, - "component_count": 255, + "component_index": 167, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3668-2", "nodes": [ @@ -201805,14 +202349,14 @@ }, { "label": "pull_request", - "component_index": 158, - "component_count": 255, + "component_index": 168, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3692-2", "nodes": [ @@ -201868,14 +202412,14 @@ }, { "label": "pull_request", - "component_index": 159, - "component_count": 255, + "component_index": 169, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3751-3", "nodes": [ @@ -201939,14 +202483,14 @@ }, { "label": "pull_request", - "component_index": 160, - "component_count": 255, + "component_index": 170, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3904-2", "nodes": [ @@ -202002,14 +202546,14 @@ }, { "label": "pull_request", - "component_index": 161, - "component_count": 255, + "component_index": 171, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-3930-2", "nodes": [ @@ -202065,14 +202609,14 @@ }, { "label": "pull_request", - "component_index": 162, - "component_count": 255, + "component_index": 172, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4032-2", "nodes": [ @@ -202128,14 +202672,14 @@ }, { "label": "pull_request", - "component_index": 163, - "component_count": 255, + "component_index": 173, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4076-2", "nodes": [ @@ -202191,14 +202735,14 @@ }, { "label": "pull_request", - "component_index": 164, - "component_count": 255, + "component_index": 174, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4221-2", "nodes": [ @@ -202254,14 +202798,14 @@ }, { "label": "pull_request", - "component_index": 165, - "component_count": 255, + "component_index": 175, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4369-2", "nodes": [ @@ -202317,14 +202861,14 @@ }, { "label": "pull_request", - "component_index": 166, - "component_count": 255, + "component_index": 176, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4415-2", "nodes": [ @@ -202380,14 +202924,14 @@ }, { "label": "pull_request", - "component_index": 167, - "component_count": 255, + "component_index": 177, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4475-2", "nodes": [ @@ -202443,14 +202987,14 @@ }, { "label": "pull_request", - "component_index": 168, - "component_count": 255, + "component_index": 178, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4485-2", "nodes": [ @@ -202506,14 +203050,14 @@ }, { "label": "pull_request", - "component_index": 169, - "component_count": 255, + "component_index": 179, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4544-2", "nodes": [ @@ -202569,14 +203113,14 @@ }, { "label": "pull_request", - "component_index": 170, - "component_count": 255, + "component_index": 180, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4558-2", "nodes": [ @@ -202635,14 +203179,14 @@ }, { "label": "pull_request", - "component_index": 171, - "component_count": 255, + "component_index": 181, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-471-8", "nodes": [ @@ -202760,14 +203304,14 @@ }, { "label": "pull_request", - "component_index": 172, - "component_count": 255, + "component_index": 182, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4776-2", "nodes": [ @@ -202823,14 +203367,14 @@ }, { "label": "pull_request", - "component_index": 173, - "component_count": 255, + "component_index": 183, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4810-2", "nodes": [ @@ -202886,14 +203430,14 @@ }, { "label": "pull_request", - "component_index": 174, - "component_count": 255, + "component_index": 184, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4903-2", "nodes": [ @@ -202949,14 +203493,14 @@ }, { "label": "pull_request", - "component_index": 175, - "component_count": 255, + "component_index": 185, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4917-2", "nodes": [ @@ -203012,14 +203556,14 @@ }, { "label": "pull_request", - "component_index": 176, - "component_count": 255, + "component_index": 186, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4938-3", "nodes": [ @@ -203090,14 +203634,14 @@ }, { "label": "pull_request", - "component_index": 177, - "component_count": 255, + "component_index": 187, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-4995-3", "nodes": [ @@ -203161,14 +203705,14 @@ }, { "label": "pull_request", - "component_index": 178, - "component_count": 255, + "component_index": 188, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5106-2", "nodes": [ @@ -203224,14 +203768,14 @@ }, { "label": "pull_request", - "component_index": 179, - "component_count": 255, + "component_index": 189, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5148-2", "nodes": [ @@ -203287,14 +203831,14 @@ }, { "label": "pull_request", - "component_index": 180, - "component_count": 255, + "component_index": 190, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5174-2", "nodes": [ @@ -203350,14 +203894,14 @@ }, { "label": "pull_request", - "component_index": 181, - "component_count": 255, + "component_index": 191, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5214-2", "nodes": [ @@ -203413,14 +203957,14 @@ }, { "label": "pull_request", - "component_index": 182, - "component_count": 255, + "component_index": 192, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5243-2", "nodes": [ @@ -203476,14 +204020,14 @@ }, { "label": "pull_request", - "component_index": 183, - "component_count": 255, + "component_index": 193, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-527-2", "nodes": [ @@ -203539,14 +204083,14 @@ }, { "label": "pull_request", - "component_index": 184, - "component_count": 255, + "component_index": 194, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5278-2", "nodes": [ @@ -203602,14 +204146,14 @@ }, { "label": "pull_request", - "component_index": 185, - "component_count": 255, + "component_index": 195, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5288-3", "nodes": [ @@ -203683,14 +204227,14 @@ }, { "label": "pull_request", - "component_index": 186, - "component_count": 255, + "component_index": 196, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5293-2", "nodes": [ @@ -203746,14 +204290,14 @@ }, { "label": "pull_request", - "component_index": 187, - "component_count": 255, + "component_index": 197, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5297-3", "nodes": [ @@ -203817,14 +204361,14 @@ }, { "label": "pull_request", - "component_index": 188, - "component_count": 255, + "component_index": 198, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5322-2", "nodes": [ @@ -203880,14 +204424,14 @@ }, { "label": "pull_request", - "component_index": 189, - "component_count": 255, + "component_index": 199, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5340-2", "nodes": [ @@ -203943,14 +204487,14 @@ }, { "label": "pull_request", - "component_index": 190, - "component_count": 255, + "component_index": 200, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5347-2", "nodes": [ @@ -204006,14 +204550,14 @@ }, { "label": "pull_request", - "component_index": 191, - "component_count": 255, + "component_index": 201, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5426-2", "nodes": [ @@ -204069,14 +204613,14 @@ }, { "label": "pull_request", - "component_index": 192, - "component_count": 255, + "component_index": 202, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5464-4", "nodes": [ @@ -204169,14 +204713,14 @@ }, { "label": "pull_request", - "component_index": 193, - "component_count": 255, + "component_index": 203, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5486-3", "nodes": [ @@ -204240,14 +204784,14 @@ }, { "label": "pull_request", - "component_index": 194, - "component_count": 255, + "component_index": 204, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5514-2", "nodes": [ @@ -204303,14 +204847,14 @@ }, { "label": "pull_request", - "component_index": 195, - "component_count": 255, + "component_index": 205, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5521-7", "nodes": [ @@ -204504,14 +205048,14 @@ }, { "label": "pull_request", - "component_index": 196, - "component_count": 255, + "component_index": 206, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5589-2", "nodes": [ @@ -204567,14 +205111,14 @@ }, { "label": "pull_request", - "component_index": 197, - "component_count": 255, + "component_index": 207, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5696-2", "nodes": [ @@ -204630,14 +205174,14 @@ }, { "label": "pull_request", - "component_index": 198, - "component_count": 255, + "component_index": 208, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5739-2", "nodes": [ @@ -204693,14 +205237,14 @@ }, { "label": "pull_request", - "component_index": 199, - "component_count": 255, + "component_index": 209, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-583-2", "nodes": [ @@ -204756,14 +205300,14 @@ }, { "label": "pull_request", - "component_index": 200, - "component_count": 255, + "component_index": 210, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-587-2", "nodes": [ @@ -204819,14 +205363,14 @@ }, { "label": "pull_request", - "component_index": 201, - "component_count": 255, + "component_index": 211, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5878-3", "nodes": [ @@ -204890,14 +205434,14 @@ }, { "label": "pull_request", - "component_index": 202, - "component_count": 255, + "component_index": 212, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5935-2", "nodes": [ @@ -204953,14 +205497,14 @@ }, { "label": "pull_request", - "component_index": 203, - "component_count": 255, + "component_index": 213, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-5970-2", "nodes": [ @@ -205019,14 +205563,14 @@ }, { "label": "pull_request", - "component_index": 204, - "component_count": 255, + "component_index": 214, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6043-3", "nodes": [ @@ -205090,14 +205634,14 @@ }, { "label": "pull_request", - "component_index": 205, - "component_count": 255, + "component_index": 215, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6138-2", "nodes": [ @@ -205153,14 +205697,14 @@ }, { "label": "pull_request", - "component_index": 206, - "component_count": 255, + "component_index": 216, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6286-2", "nodes": [ @@ -205216,14 +205760,14 @@ }, { "label": "pull_request", - "component_index": 207, - "component_count": 255, + "component_index": 217, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6338-3", "nodes": [ @@ -205294,14 +205838,14 @@ }, { "label": "pull_request", - "component_index": 208, - "component_count": 255, + "component_index": 218, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6390-4", "nodes": [ @@ -205373,14 +205917,14 @@ }, { "label": "pull_request", - "component_index": 209, - "component_count": 255, + "component_index": 219, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6477-2", "nodes": [ @@ -205436,14 +205980,14 @@ }, { "label": "pull_request", - "component_index": 210, - "component_count": 255, + "component_index": 220, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-648-2", "nodes": [ @@ -205499,14 +206043,14 @@ }, { "label": "pull_request", - "component_index": 211, - "component_count": 255, + "component_index": 221, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6551-6", "nodes": [ @@ -205594,14 +206138,14 @@ }, { "label": "pull_request", - "component_index": 212, - "component_count": 255, + "component_index": 222, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6587-9", "nodes": [ @@ -205807,14 +206351,14 @@ }, { "label": "pull_request", - "component_index": 213, - "component_count": 255, + "component_index": 223, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6627-2", "nodes": [ @@ -205873,14 +206417,14 @@ }, { "label": "pull_request", - "component_index": 214, - "component_count": 255, + "component_index": 224, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6665-7", "nodes": [ @@ -205983,14 +206527,14 @@ }, { "label": "pull_request", - "component_index": 215, - "component_count": 255, + "component_index": 225, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6683-2", "nodes": [ @@ -206046,14 +206590,14 @@ }, { "label": "pull_request", - "component_index": 216, - "component_count": 255, + "component_index": 226, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6690-2", "nodes": [ @@ -206109,14 +206653,14 @@ }, { "label": "pull_request", - "component_index": 217, - "component_count": 255, + "component_index": 227, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6738-2", "nodes": [ @@ -206172,14 +206716,14 @@ }, { "label": "pull_request", - "component_index": 218, - "component_count": 255, + "component_index": 228, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6844-2", "nodes": [ @@ -206235,14 +206779,14 @@ }, { "label": "pull_request", - "component_index": 219, - "component_count": 255, + "component_index": 229, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6846-2", "nodes": [ @@ -206298,14 +206842,14 @@ }, { "label": "pull_request", - "component_index": 220, - "component_count": 255, + "component_index": 230, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-686-2", "nodes": [ @@ -206361,14 +206905,14 @@ }, { "label": "pull_request", - "component_index": 221, - "component_count": 255, + "component_index": 231, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6873-3", "nodes": [ @@ -206439,14 +206983,14 @@ }, { "label": "pull_request", - "component_index": 222, - "component_count": 255, + "component_index": 232, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6902-2", "nodes": [ @@ -206502,14 +207046,14 @@ }, { "label": "pull_request", - "component_index": 223, - "component_count": 255, + "component_index": 233, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-6933-3", "nodes": [ @@ -206573,14 +207117,14 @@ }, { "label": "pull_request", - "component_index": 224, - "component_count": 255, + "component_index": 234, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7025-2", "nodes": [ @@ -206636,14 +207180,14 @@ }, { "label": "pull_request", - "component_index": 225, - "component_count": 255, + "component_index": 235, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7071-4", "nodes": [ @@ -206736,14 +207280,14 @@ }, { "label": "pull_request", - "component_index": 226, - "component_count": 255, + "component_index": 236, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7092-3", "nodes": [ @@ -206807,14 +207351,14 @@ }, { "label": "pull_request", - "component_index": 227, - "component_count": 255, + "component_index": 237, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7125-2", "nodes": [ @@ -206870,14 +207414,14 @@ }, { "label": "pull_request", - "component_index": 228, - "component_count": 255, + "component_index": 238, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7144-2", "nodes": [ @@ -206933,14 +207477,14 @@ }, { "label": "pull_request", - "component_index": 229, - "component_count": 255, + "component_index": 239, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7162-2", "nodes": [ @@ -206996,14 +207540,14 @@ }, { "label": "pull_request", - "component_index": 230, - "component_count": 255, + "component_index": 240, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7352-2", "nodes": [ @@ -207059,14 +207603,14 @@ }, { "label": "pull_request", - "component_index": 231, - "component_count": 255, + "component_index": 241, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7553-3", "nodes": [ @@ -207130,14 +207674,14 @@ }, { "label": "pull_request", - "component_index": 232, - "component_count": 255, + "component_index": 242, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7739-2", "nodes": [ @@ -207193,14 +207737,14 @@ }, { "label": "pull_request", - "component_index": 233, - "component_count": 255, + "component_index": 243, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7838-2", "nodes": [ @@ -207256,14 +207800,14 @@ }, { "label": "pull_request", - "component_index": 234, - "component_count": 255, + "component_index": 244, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7839-2", "nodes": [ @@ -207319,14 +207863,14 @@ }, { "label": "pull_request", - "component_index": 235, - "component_count": 255, + "component_index": 245, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7915-2", "nodes": [ @@ -207382,14 +207926,14 @@ }, { "label": "pull_request", - "component_index": 236, - "component_count": 255, + "component_index": 246, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-7996-2", "nodes": [ @@ -207445,14 +207989,14 @@ }, { "label": "pull_request", - "component_index": 237, - "component_count": 255, + "component_index": 247, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8383-2", "nodes": [ @@ -207508,14 +208052,14 @@ }, { "label": "pull_request", - "component_index": 238, - "component_count": 255, + "component_index": 248, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8517-2", "nodes": [ @@ -207571,14 +208115,14 @@ }, { "label": "pull_request", - "component_index": 239, - "component_count": 255, + "component_index": 249, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8558-4", "nodes": [ @@ -207650,14 +208194,14 @@ }, { "label": "pull_request", - "component_index": 240, - "component_count": 255, + "component_index": 250, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8568-2", "nodes": [ @@ -207713,14 +208257,14 @@ }, { "label": "pull_request", - "component_index": 241, - "component_count": 255, + "component_index": 251, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8690-3", "nodes": [ @@ -207791,14 +208335,14 @@ }, { "label": "pull_request", - "component_index": 242, - "component_count": 255, + "component_index": 252, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8701-2", "nodes": [ @@ -207854,14 +208398,14 @@ }, { "label": "pull_request", - "component_index": 243, - "component_count": 255, + "component_index": 253, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8762-2", "nodes": [ @@ -207917,14 +208461,14 @@ }, { "label": "pull_request", - "component_index": 244, - "component_count": 255, + "component_index": 254, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8814-2", "nodes": [ @@ -207980,14 +208524,14 @@ }, { "label": "pull_request", - "component_index": 245, - "component_count": 255, + "component_index": 255, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8884-3", "nodes": [ @@ -208051,14 +208595,14 @@ }, { "label": "pull_request", - "component_index": 246, - "component_count": 255, + "component_index": 256, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-8961-2", "nodes": [ @@ -208117,14 +208661,14 @@ }, { "label": "pull_request", - "component_index": 247, - "component_count": 255, + "component_index": 257, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9050-2", "nodes": [ @@ -208180,14 +208724,14 @@ }, { "label": "pull_request", - "component_index": 248, - "component_count": 255, + "component_index": 258, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-92-2", "nodes": [ @@ -208243,14 +208787,14 @@ }, { "label": "pull_request", - "component_index": 249, - "component_count": 255, + "component_index": 259, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9333-2", "nodes": [ @@ -208306,14 +208850,14 @@ }, { "label": "pull_request", - "component_index": 250, - "component_count": 255, + "component_index": 260, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9499-2", "nodes": [ @@ -208369,14 +208913,14 @@ }, { "label": "pull_request", - "component_index": 251, - "component_count": 255, + "component_index": 261, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9518-2", "nodes": [ @@ -208432,14 +208976,14 @@ }, { "label": "pull_request", - "component_index": 252, - "component_count": 255, + "component_index": 262, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9564-3", "nodes": [ @@ -208513,14 +209057,14 @@ }, { "label": "pull_request", - "component_index": 253, - "component_count": 255, + "component_index": 263, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9631-2", "nodes": [ @@ -208576,14 +209120,14 @@ }, { "label": "pull_request", - "component_index": 254, - "component_count": 255, + "component_index": 264, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9651-2", "nodes": [ @@ -208639,14 +209183,14 @@ }, { "label": "pull_request", - "component_index": 255, - "component_count": 255, + "component_index": 265, + "component_count": 265, "review_unit_index": 1, "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-9842-2", "nodes": [ diff --git a/analysis/current/manifest.json b/analysis/current/manifest.json index baf3a9771b11f6c63b621381756d074983347a52..ea3a0fcba21de4558163025126938396244158af 100644 --- a/analysis/current/manifest.json +++ b/analysis/current/manifest.json @@ -1,8 +1,8 @@ { - "analysis_id": "hybrid-gpt54mini-20260418t163535z", + "analysis_id": "hybrid-model-20260421t173535z", "archived_artifacts": { - "hybrid": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t163535z/analysis-report-hybrid.json", - "hybrid_reviews": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t163535z/analysis-report-hybrid.llm-reviews.json" + "hybrid": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json" }, "artifacts": { "hybrid": "analysis/current/analysis-report-hybrid.json", @@ -10,9 +10,9 @@ }, "channel": "canonical", "model": null, - "published_at": "2026-04-18T19:36:48Z", + "published_at": "2026-04-21T18:55:28Z", "repo": "huggingface/diffusers", "schema_version": 1, - "snapshot_id": "20260418T163535Z", + "snapshot_id": "20260421T173535Z", "variant": "hybrid" } diff --git a/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json new file mode 100644 index 0000000000000000000000000000000000000000..894a94fb71222420e5d332a4f9b31464d681dc6a --- /dev/null +++ b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json @@ -0,0 +1,19479 @@ +{ + "schema_version": "1.0", + "repo": "huggingface/diffusers", + "snapshot_id": "20260421T173535Z", + "generated_at": "2026-04-21T18:24:37Z", + "evidence_quality": "full", + "llm_enrichment": true, + "meta_bugs": [ + { + "cluster_id": "cluster-1246-22", + "summary": "Cluster of 17 issues and 5 PRs centered on issue #13124.", + "status": "open", + "confidence": 0.99, + "canonical_issue_number": 13124, + "canonical_pr_number": 6566, + "issue_numbers": [ + 1246, + 2780, + 6086, + 6098, + 6124, + 6277, + 6363, + 6442, + 6454, + 6482, + 7330, + 8871, + 9628, + 9973, + 10752, + 10910, + 13124 + ], + "pr_numbers": [ + 6566, + 10783, + 10889, + 13273, + 13510 + ], + "evidence_types": [ + "closing_reference", + "duplicate_reference", + "shared_issue_target", + "soft_similarity" + ], + "pr_comparisons": [ + { + "left_pr_number": 6566, + "right_pr_number": 10783, + "code_similarity": 0.052, + "size_similarity": 0.235, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.031, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 6566, + "right_pr_number": 10889, + "code_similarity": 0.046, + "size_similarity": 0.206, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.031, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 6566, + "right_pr_number": 13273, + "code_similarity": 0.039, + "size_similarity": 0.178, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.025, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 6566, + "right_pr_number": 13510, + "code_similarity": 0.081, + "size_similarity": 0.294, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.15, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 10783, + "right_pr_number": 10889, + "code_similarity": 0.893, + "size_similarity": 0.875, + "file_overlap": 1.0, + "area_overlap": 0.765, + "patch_similarity": 1.0, + "shared_filenames": [ + "examples/dreambooth/train_dreambooth_lora_sdxl.py" + ], + "shared_file_areas": [ + { + "filename": "examples/dreambooth/train_dreambooth_lora_sdxl.py", + "left_ranges": [ + [ + 203, + 210 + ], + [ + 214, + 221 + ] + ], + "right_ranges": [ + [ + 203, + 209 + ], + [ + 213, + 219 + ] + ] + } + ] + }, + { + "left_pr_number": 10783, + "right_pr_number": 13273, + "code_similarity": 0.177, + "size_similarity": 0.042, + "file_overlap": 0.059, + "area_overlap": 0.353, + "patch_similarity": 0.186, + "shared_filenames": [ + "examples/dreambooth/train_dreambooth_lora_sdxl.py" + ], + "shared_file_areas": [ + { + "filename": "examples/dreambooth/train_dreambooth_lora_sdxl.py", + "left_ranges": [ + [ + 203, + 210 + ], + [ + 214, + 221 + ] + ], + "right_ranges": [ + [ + 216, + 222 + ] + ] + } + ] + }, + { + "left_pr_number": 10783, + "right_pr_number": 13510, + "code_similarity": 0.17, + "size_similarity": 0.8, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.065, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 10889, + "right_pr_number": 13273, + "code_similarity": 0.135, + "size_similarity": 0.037, + "file_overlap": 0.059, + "area_overlap": 0.235, + "patch_similarity": 0.186, + "shared_filenames": [ + "examples/dreambooth/train_dreambooth_lora_sdxl.py" + ], + "shared_file_areas": [ + { + "filename": "examples/dreambooth/train_dreambooth_lora_sdxl.py", + "left_ranges": [ + [ + 203, + 209 + ], + [ + 213, + 219 + ] + ], + "right_ranges": [ + [ + 216, + 222 + ] + ] + } + ] + }, + { + "left_pr_number": 10889, + "right_pr_number": 13510, + "code_similarity": 0.15, + "size_similarity": 0.7, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.065, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 13273, + "right_pr_number": 13510, + "code_similarity": 0.037, + "size_similarity": 0.052, + "file_overlap": 0.059, + "area_overlap": 0.0, + "patch_similarity": 0.057, + "shared_filenames": [ + "examples/dreambooth/train_dreambooth_lora.py" + ], + "shared_file_areas": [ + { + "filename": "examples/dreambooth/train_dreambooth_lora.py", + "left_ranges": [ + [ + 155, + 173 + ] + ], + "right_ranges": [ + [ + 1398, + 1413 + ] + ] + } + ] + } + ] + }, + { + "cluster_id": "cluster-6585-11", + "summary": "Cluster of 1 issues and 10 PRs centered on issue #6585.", + "status": "merged", + "confidence": 0.75, + "canonical_issue_number": 6585, + "canonical_pr_number": 6737, + "issue_numbers": [ + 6585 + ], + 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"PRs in cluster-10817-3 are treated as duplicates because they converge on issue #10817 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-10849-2", + "canonical_pr_number": 10849, + "duplicate_pr_numbers": [ + 10852 + ], + "target_issue_number": null, + "reason": "PRs in cluster-10849-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-10921-2", + "canonical_pr_number": 10922, + "duplicate_pr_numbers": [ + 10921 + ], + "target_issue_number": null, + "reason": "PRs in cluster-10921-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-111-2", + "canonical_pr_number": 111, + "duplicate_pr_numbers": [ + 112 + ], + "target_issue_number": null, + "reason": "PRs in cluster-111-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11208-3", + "canonical_pr_number": 11251, + 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"PRs in cluster-12351-2 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-1246-22", + "canonical_pr_number": 6566, + "duplicate_pr_numbers": [ + 10783, + 10889, + 13273, + 13510 + ], + "target_issue_number": 13124, + "reason": "PRs in cluster-1246-22 are treated as duplicates because they converge on issue #13124 with closing_reference, duplicate_reference, 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"reason": "PRs in cluster-2067-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2206-2", + "canonical_pr_number": 2206, + "duplicate_pr_numbers": [ + 2260 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2206-2 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-2334-2", + "canonical_pr_number": 2334, + "duplicate_pr_numbers": [ + 2397 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2334-2 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-260-5", + "canonical_pr_number": 260, + "duplicate_pr_numbers": [ + 353, + 407, + 798, + 2138 + ], + "target_issue_number": null, + "reason": "PRs in cluster-260-5 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-281-4", + "canonical_pr_number": 361, + "duplicate_pr_numbers": [ + 727 + ], + "target_issue_number": 281, + "reason": "PRs in cluster-281-4 are treated as duplicates because they converge on issue #281 with closing_reference, 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-3168-3", + "canonical_pr_number": 3168, + "duplicate_pr_numbers": [ + 3676, + 3687 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3168-3 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, + 349 + ], + "target_issue_number": null, + "reason": "PRs in cluster-326-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3414-2", + "canonical_pr_number": 3414, + "duplicate_pr_numbers": [ + 3415 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3414-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-344-2", + "canonical_pr_number": 344, + "duplicate_pr_numbers": [ + 365 + ], + "target_issue_number": null, + "reason": "PRs in cluster-344-2 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-3487-4", + "canonical_pr_number": 5648, + "duplicate_pr_numbers": [ + 3532 + ], + "target_issue_number": 5647, + "reason": "PRs in cluster-3487-4 are treated as duplicates because they converge on issue #5647 with closing_reference, 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-3690-3", + "canonical_pr_number": 3695, + "duplicate_pr_numbers": [ + 3690 + ], + "target_issue_number": 3693, + "reason": "PRs in cluster-3690-3 are treated as duplicates because they converge on issue #3693 with closing_reference, 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-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-386-2", + "canonical_pr_number": 386, + "duplicate_pr_numbers": [ + 388 + ], + "target_issue_number": null, + "reason": "PRs in cluster-386-2 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-3896-3", + "canonical_pr_number": 4097, + "duplicate_pr_numbers": [ + 3896, + 4016 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3896-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3944-3", + "canonical_pr_number": 3945, + "duplicate_pr_numbers": [ + 4343 + ], + "target_issue_number": 3944, + "reason": "PRs in cluster-3944-3 are treated as duplicates because they converge on issue #3944 with closing_reference, soft_similarity 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-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-4478-9", + "canonical_pr_number": 4796, + "duplicate_pr_numbers": [ + 4632, + 7858 + ], + "target_issue_number": 4619, + "reason": "PRs in cluster-4478-9 are treated as duplicates because they converge on issue #4619 with closing_reference, 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-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-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-4944-2", + "canonical_pr_number": 5713, + "duplicate_pr_numbers": [ + 4944 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4944-2 are treated as duplicates because they share 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-5104-2", + "canonical_pr_number": 5105, + "duplicate_pr_numbers": [ + 5104 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5104-2 are treated as duplicates because they share 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, shared_issue_target 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 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-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-5626-3", + "canonical_pr_number": 5626, + "duplicate_pr_numbers": [ + 7544, + 7868 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5626-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5712-3", + "canonical_pr_number": 6438, + "duplicate_pr_numbers": [ + 6342 + ], + "target_issue_number": 5712, + "reason": "PRs in cluster-5712-3 are treated as duplicates because they converge on issue #5712 with closing_reference, soft_similarity 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-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-5982-2", + "canonical_pr_number": 5982, + "duplicate_pr_numbers": [ + 6065 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5982-2 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-6207-2", + "canonical_pr_number": 6266, + "duplicate_pr_numbers": [ + 6207 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6207-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6261-2", + "canonical_pr_number": 6261, + "duplicate_pr_numbers": [ + 6265 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6261-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6299-4", + "canonical_pr_number": 6322, + "duplicate_pr_numbers": [ + 6299, + 6300, + 6301 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6299-4 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-6453-2", + "canonical_pr_number": 6453, + "duplicate_pr_numbers": [ + 6462 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6453-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6503-9", + "canonical_pr_number": 6532, + "duplicate_pr_numbers": [ + 6525, + 6526, + 6534, + 6555, + 6556, + 6558, + 6576 + ], + "target_issue_number": 6503, + "reason": "PRs in cluster-6503-9 are treated as duplicates because they converge on issue #6503 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6514-4", + "canonical_pr_number": 6514, + "duplicate_pr_numbers": [ + 6554, + 6840, + 7242 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6514-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6545-7", + "canonical_pr_number": 6569, + "duplicate_pr_numbers": [ + 6559, + 6654, + 6655, + 7603, + 8283 + ], + "target_issue_number": 6545, + "reason": "PRs in cluster-6545-7 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-6587-2", + "canonical_pr_number": 6587, + "duplicate_pr_numbers": [ + 6803 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6587-2 are treated as duplicates because they share soft_similarity 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-6690-2", + "canonical_pr_number": 6692, + "duplicate_pr_numbers": [ + 6690 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6690-2 are treated as duplicates because they share soft_similarity 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-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 evidence." + }, + { + "cluster_id": "cluster-6940-2", + "canonical_pr_number": 6947, + "duplicate_pr_numbers": [ + 6940 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6940-2 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-7092-2", + "canonical_pr_number": 7092, + "duplicate_pr_numbers": [ + 8687 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7092-2 are treated as duplicates because they share soft_similarity 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-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-7709-2", + "canonical_pr_number": 7719, + "duplicate_pr_numbers": [ + 7709 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7709-2 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-810-2", + "canonical_pr_number": 822, + "duplicate_pr_numbers": [ + 810 + ], + "target_issue_number": null, + "reason": "PRs in cluster-810-2 are treated as duplicates because they share soft_similarity 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-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-8426-2", + "canonical_pr_number": 8426, + "duplicate_pr_numbers": [ + 8427 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8426-2 are treated as duplicates because they share 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-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-8899-2", + "canonical_pr_number": 8899, + "duplicate_pr_numbers": [ + 9037 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8899-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8946-2", + "canonical_pr_number": 9131, + "duplicate_pr_numbers": [ + 8946 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8946-2 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-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-916-4", + "canonical_pr_number": 1110, + "duplicate_pr_numbers": [ + 916, + 1007, + 1225 + ], + "target_issue_number": null, + "reason": "PRs in cluster-916-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9237-5", + "canonical_pr_number": 9419, + "duplicate_pr_numbers": [ + 9549 + ], + "target_issue_number": 9237, + "reason": "PRs in cluster-9237-5 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-9514-5", + "canonical_pr_number": 10990, + "duplicate_pr_numbers": [ + 10338 + ], + "target_issue_number": 10989, + "reason": "PRs in cluster-9514-5 are treated as duplicates because they converge on issue #10989 with closing_reference, soft_similarity 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-9591-5", + "canonical_pr_number": 9591, + "duplicate_pr_numbers": [ + 9706, + 9707, + 9714, + 9715 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9591-5 are treated as duplicates because they share 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-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-1246-22", + "issue_number": 13124, + "reason": "Issue #13124 is the strongest global issue candidate because it is open, belongs to a cluster with 22 artifacts, and carries 2 discussion comments plus 6 inbound references.", + "score": 330.0 + }, + "best_pr": { + "cluster_id": "cluster-10025-4", + "pr_number": 10044, + "reason": "PR #10044 is the strongest global PR candidate because it is open, belongs to a cluster with 4 artifacts, links to 2 issues, and carries 31 review/discussion events.", + "score": 231.939 + } +} diff --git a/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json new file mode 100644 index 0000000000000000000000000000000000000000..0482f6a19f07252845c036c742907ce35f3abfe6 --- /dev/null +++ b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json @@ -0,0 +1,209251 @@ +{ + "schema_version": "1.0", + "repo": "huggingface/diffusers", + "snapshot_id": "20260421T173535Z", + "generated_at": "2026-04-21T18:24:37Z", + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:11218", + "issue:11435", + "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:384", + "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: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", + "issue:2669|issue:384" + ], + "prepared_review_unit_hash": "fcb9b3e8dc5f6c5005491f093528b68cefd94f2670fdde432bd199b40a5813e2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35476, + "estimated_input_tokens": 8869, + "estimated_eval_tokens": 17994 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated import, attribute, or device/dtype errors. A small FP16-gradient subcluster appears to be genuine duplicates; the rest of the soft pairs are only title-similar and should stay separate.", + "confidence": 0.82, + "canonical_issue_reason": "issue:6442 is the clearest representative of the recurring \"Attempting to unscale FP16 gradients.\" bug; it matches multiple later reports with the same failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6442 is the strongest global representative because it is the most generic, high-signal report for the repeated FP16-unscale training failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6124", + "right": "issue:6454", + "accept": true, + "reason": "Same exact FP16 unscale-gradient error in the same SDXL/DreamBooth LoRA training area; looks like a duplicate report." + }, + { + "left": "issue:1817", + "right": "issue:9026", + "accept": false, + "reason": "Different failures: scheduler argument mismatch vs. checkpoint dispatch keyword mismatch." + }, + { + "left": "issue:4456", + "right": "issue:6139", + "accept": false, + "reason": "Both are LoRA-related attribute errors, but they hit different missing attributes in different code paths." + }, + { + "left": "issue:5805", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch reports, but they involve different pipelines/devices and are not clearly the same bug." + }, + { + "left": "issue:4969", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports from different diffusers symbols." + }, + { + "left": "issue:1544", + "right": "issue:5919", + "accept": false, + "reason": "Unrelated attribute errors: scheduler get_velocity vs. Linear set_lora_layer." + }, + { + "left": "issue:2904", + "right": "issue:7593", + "accept": false, + "reason": "Different NoneType failures in different pipelines and code paths." + }, + { + "left": "issue:5603", + "right": "issue:8915", + "accept": false, + "reason": "Different import symbols and likely different version-compatibility issues." + }, + { + "left": "issue:6442", + "right": "issue:6482", + "accept": true, + "reason": "Same exact FP16 unscale-gradient error; 6482 is just the resume-from-checkpoint variant of the same bug." + }, + { + "left": "issue:3787", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different classes and submodules." + }, + { + "left": "issue:1552", + "right": "issue:3124", + "accept": false, + "reason": "Attention slicing on SD2 is a different issue from model conversion failures." + }, + { + "left": "issue:1976", + "right": "issue:5578", + "accept": false, + "reason": "Both are OSError model_index.json complaints, but the reported contexts indicate different inputs and failure setups." + }, + { + "left": "issue:4229", + "right": "issue:6146", + "accept": false, + "reason": "Both mention multi-GPU training, but the titles do not identify the same concrete failure." + }, + { + "left": "issue:2669", + "right": "issue:6858", + "accept": false, + "reason": "Different attribute failures: NoneType.replace vs. string.convert." + }, + { + "left": "issue:1544", + "right": "issue:4557", + "accept": false, + "reason": "Completely different missing-attribute errors." + }, + { + "left": "issue:409", + "right": "issue:4557", + "accept": false, + "reason": "StableDiffusionPipeline attention slicing vs. a generic __getattr__ error are not the same bug." + }, + { + "left": "issue:1991", + "right": "issue:7891", + "accept": false, + "reason": "Both mention device mismatches, but one is checkpoint-merger specific and the other is a generic runtime exception." + }, + { + "left": "issue:13015", + "right": "issue:1991", + "accept": false, + "reason": "Different device-mismatch contexts and different pipelines." + }, + { + "left": "issue:5259", + "right": "issue:5578", + "accept": false, + "reason": "Closely similar OSError wording, but not enough to confirm the same underlying bug." + }, + { + "left": "issue:12778", + "right": "issue:6444", + "accept": false, + "reason": "Different missing attributes in unrelated model components." + }, + { + "left": "issue:1875", + "right": "issue:4478", + "accept": false, + "reason": "Both are type/device mismatch symptoms, but the pipelines and reported failure modes differ." + }, + { + "left": "issue:11435", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports from diffusers; no concrete shared code path." + }, + { + "left": "issue:2947", + "right": "issue:9430", + "accept": false, + "reason": "Different attribute errors with no evidence of the same underlying defect." + }, + { + "left": "issue:11218", + "right": "issue:1315", + "accept": false, + "reason": "Both are import errors after API changes, but they involve different symbols and modules." + }, + { + "left": "issue:2044", + "right": "issue:6126", + "accept": false, + "reason": "Different missing attributes on unrelated objects." + }, + { + "left": "issue:6454", + "right": "issue:8871", + "accept": true, + "reason": "Same exact FP16 unscale-gradient failure repeated in later LoRA training; clearly the same bug family." + }, + { + "left": "issue:1249", + "right": "issue:409", + "accept": false, + "reason": "Different subsystems: ONNX pipeline ndarray device handling vs. attention slicing." + }, + { + "left": "issue:2669", + "right": "issue:384", + "accept": false, + "reason": "Different NoneType/latent attribute failures with no shared concrete code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the accepted soft pairs are conservative because they share the same exact failure text or an obviously narrow variant. The rejected pairs stay appropriately cautious about title similarity without stronger 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": 14, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:11865", + "issue:12126", + "issue:12195", + "issue:12494", + "issue:12779", + "issue:13015", + "issue:1709", + "issue:1991", + "issue:2132", + "issue:2669", + "issue:2904", + "issue:2995", + "issue:3202", + "issue:3211", + "issue:3290", + "issue:3382", + "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:5919", + "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: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: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", + "issue:2904|issue:5919", + "issue:13015|issue:9450" + ], + "prepared_review_unit_hash": "5f1b445255407c2ce8e2a3cc917ae04c41b863a9a9faa09a8a0519d3ca21a06e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36608, + "estimated_input_tokens": 9152, + "estimated_eval_tokens": 18560 + }, + "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 and API breakages. None of the proposed soft pairs look like the same underlying issue closely enough to merge; they share only broad subsystem keywords or generic error shapes.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 9278 is the best anchor only by breadth and discussion volume: it is the most prominent of the FLUX multi-GPU dreambooth reports and has the strongest cluster visibility, though the cluster overall is not truly cohesive.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9278 is the strongest single representative for the largest visible subtheme in this set, but it still only covers one FLUX dreambooth/multi-GPU problem and does not generalize to the many unrelated API/import/shape/device errors in the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12195", + "right": "issue:8537", + "accept": false, + "reason": "Both are version/compatibility errors, but one is torch.library.custom_op in AutoencoderKL and the other is torch.float8_e4m3fn in StableDiffusion3 from_single_file; different missing APIs and code paths." + }, + { + "left": "issue:539", + "right": "issue:9026", + "accept": false, + "reason": "Both mention unexpected keyword arguments in loading utilities, but snapshot_download(allow_patterns) and load_checkpoint_and_dispatch(force_hook) are unrelated functions and failures." + }, + { + "left": "issue:5603", + "right": "issue:8637", + "accept": false, + "reason": "Both are import errors, but they concern different symbols in different modules: is_safetensors_available vs PixArtSigmaPipeline." + }, + { + "left": "issue:6363", + "right": "issue:9973", + "accept": false, + "reason": "Same general FP16/unscale wording, but one is a training-script gradient scaling failure and the other is a dreambooth LoRA script report; no evidence of the same bug." + }, + { + "left": "issue:12126", + "right": "issue:8463", + "accept": false, + "reason": "Both are NoneType attribute errors, but cache_context while switching WAN transformers and tokenize in InstructP2P-SDXL are different pipelines and failure points." + }, + { + "left": "issue:3382", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM/training complaints, but one is multi-GPU text-to-image training and the other is SDXL LoRA OOM; too broad to be the same defect." + }, + { + "left": "issue:12494", + "right": "issue:7239", + "accept": false, + "reason": "Both are matmul shape mismatch reports, but the tensor dimensions and training contexts differ; no clear shared code-path." + }, + { + "left": "issue:5025", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors from diffusers.utils/diffusers, but they are for different helpers: randn_tensor vs AutoPipelineForText2Image." + }, + { + "left": "issue:409", + "right": "issue:7593", + "accept": false, + "reason": "Both are pipeline attribute errors, but enable_attention_slicing in StableDiffusionPipeline and image_projection_layers in prepare_ip_adapter_image_embeds are unrelated features." + }, + { + "left": "issue:3290", + "right": "issue:5054", + "accept": false, + "reason": "Both involve missing attributes, but NoneType.flush and StableDiffusionXLPipeline.final_offload_hook are different objects and code paths." + }, + { + "left": "issue:4265", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors for pipeline/loaders symbols, but StableDiffusionXLControlNetPipeline and StableDiffusionLoraLoaderMixin are unrelated APIs." + }, + { + "left": "issue:4086", + "right": "issue:4551", + "accept": false, + "reason": "Both concern training with SDXL-ish models, but one is ControlNet training on SDXL base-0.9 and the other is a DreamBooth crash on SDXL base-1.0; not the same bug." + }, + { + "left": "issue:1709", + "right": "issue:858", + "accept": false, + "reason": "Both are AttributeError reports, but astype on Tensor in ONNX img2img and named_children on Parameter are different mistakes in different layers." + }, + { + "left": "issue:5572", + "right": "issue:6858", + "accept": false, + "reason": "Both are attribute failures, but scaling_factor on FrozenDict and convert on str arise in different model/pipeline setup paths." + }, + { + "left": "issue:1991", + "right": "issue:9450", + "accept": false, + "reason": "Both mention tensors on different devices, but checkpoint-merger and FluxPipeline transformer-device placement are separate subsystems and problems." + }, + { + "left": "issue:11865", + "right": "issue:4557", + "accept": false, + "reason": "Both are AttributeError on model objects, but from_single_file on CosmosTransformer3DModel and super().__getattr__ are unrelated failures." + }, + { + "left": "issue:2669", + "right": "issue:3211", + "accept": false, + "reason": "Both are NoneType/object attribute issues, but replace on NoneType and requires_safety_checker on StableDiffusionMegaPipeline are different pipeline behaviors." + }, + { + "left": "issue:1709", + "right": "issue:3211", + "accept": false, + "reason": "Different attribute errors in different pipelines: Tensor.astype in ONNX img2img vs StableDiffusionMegaPipeline.requires_safety_checker." + }, + { + "left": "issue:9278", + "right": "issue:9727", + "accept": false, + "reason": "Both are FLUX.1-dev dreambooth multigpu reports, but one is training on multigpu and the other is a save problem after multigpu training; not the same concrete bug." + }, + { + "left": "issue:2995", + "right": "issue:5081", + "accept": false, + "reason": "Both are shape mismatch errors, but the dimensions and model contexts differ; no evidence they share the same faulty interface." + }, + { + "left": "issue:12779", + "right": "issue:6444", + "accept": false, + "reason": "Both are training-script argument/attribute issues in dreambooth LoRA, but validation_image_path missing and peft_config missing under checkpointing are distinct bugs." + }, + { + "left": "issue:3202", + "right": "issue:5518", + "accept": false, + "reason": "Both are missing-attribute reports, but enable_vae_tiling on StableDiffusionControlNetPipeline and time on ModuleList are different APIs." + }, + { + "left": "issue:2132", + "right": "issue:5572", + "accept": false, + "reason": "Different missing attributes in different contexts: Accelerator.trackers versus FrozenDict.scaling_factor." + }, + { + "left": "issue:3290", + "right": "issue:409", + "accept": false, + "reason": "Both are attribute-related pipeline errors, but NoneType.flush and enable_attention_slicing are not the same bug or code path." + }, + { + "left": "issue:4265", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors, but the missing symbols are different utility/pipeline APIs and do not indicate one shared regression." + }, + { + "left": "issue:8637", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but PixArtSigmaPipeline and AutoPipelineForText2Image are separate exports with no shared failure evidence." + }, + { + "left": "issue:8463", + "right": "issue:8863", + "accept": false, + "reason": "Both are runtime errors in model usage, but tokenize on NoneType and tuple.shape are unrelated failure modes." + }, + { + "left": "issue:9278", + "right": "issue:9726", + "accept": false, + "reason": "Same broad FLUX dreambooth/multigpu area, but one is the general training issue and the other is a later problem report; titles do not point to the same concrete failure." + }, + { + "left": "issue:2904", + "right": "issue:5919", + "accept": false, + "reason": "Both are attribute errors, but AudioLDM scheduler access and LoRA set_lora_layer on Linear are unrelated pipeline/model components." + }, + { + "left": "issue:13015", + "right": "issue:9450", + "accept": false, + "reason": "Both mention device placement, but the NPU tensor-device mismatch in QwenImageEditPlus and FluxPipeline transformer device mismatch are different models and 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": 15, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2669", + "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" + ], + "soft_pairs": [ + "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", + "issue:2669|issue:5919" + ], + "prepared_review_unit_hash": "f60bf3fd5d4786bdce866babc7115723d1e67cdcdf738f20cc85ace54a5ba534", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36354, + "estimated_input_tokens": 9089, + "estimated_eval_tokens": 18434 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of superficially similar error-report issues, with only a few true duplicates among the soft pairs. The strongest duplication signals are the ckpt-to-diffusers conversion reports and the FP16-gradient unscale LoRA-training reports; most other pairs share only a broad error pattern or subsystem.", + "confidence": 0.72, + "canonical_issue_reason": "Issue 10154 is the most generic, cluster-central LoRA-loading report and best represents the recurring `load_lora_weights` attribute-error symptom in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "10154 is the clearest representative for triage because its title is broad, directly reflects the shared LoRA-loading failure mode, and can anchor related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10472", + "right": "issue:4529", + "accept": false, + "reason": "Different missing kwargs in different LoRA APIs (`lora_bias` vs `network_alpha`); same general area, but not the same bug." + }, + { + "left": "issue:13300", + "right": "issue:9227", + "accept": false, + "reason": "Both mention FLUX, but one is CPU inference and the other is a Flux LoRA training/loading problem; different concrete code paths." + }, + { + "left": "issue:2856", + "right": "issue:861", + "accept": true, + "reason": "Both are about converting Stable Diffusion checkpoints/models to Diffusers with the same converter path; this looks like the same underlying conversion bug." + }, + { + "left": "issue:11865", + "right": "issue:2904", + "accept": false, + "reason": "Completely different failures (`from_single_file` on CosmosTransformer3DModel vs AudioLDM scheduler NoneType)." + }, + { + "left": "issue:3290", + "right": "issue:4557", + "accept": false, + "reason": "Different errors on unrelated objects (`flush` vs `__getattr__`); no shared code-path evidence." + }, + { + "left": "issue:5081", + "right": "issue:5082", + "accept": false, + "reason": "Both are matmul shape mismatches, but the dimensions and reported context differ; not enough to call them the same bug." + }, + { + "left": "issue:11732", + "right": "issue:6869", + "accept": false, + "reason": "Same general unpacking error class, but different functions and stack contexts; too broad to merge." + }, + { + "left": "issue:10154", + "right": "issue:7228", + "accept": false, + "reason": "Both are attribute errors, but one is about `load_lora_weights` and the other about traced model `dtype`; unrelated failures." + }, + { + "left": "issue:11865", + "right": "issue:4868", + "accept": false, + "reason": "Different missing attributes in different objects; no indication of a shared underlying defect." + }, + { + "left": "issue:3040", + "right": "issue:5518", + "accept": false, + "reason": "Different attribute failures in different loader/model paths (`__module__` vs `time`)." + }, + { + "left": "issue:2044", + "right": "issue:858", + "accept": false, + "reason": "Both are PyTorch object attribute errors, but the objects and failure modes are unrelated (`dtype` vs `named_children`)." + }, + { + "left": "issue:3202", + "right": "issue:409", + "accept": false, + "reason": "Different missing pipeline methods (`enable_vae_tiling` vs `enable_attention_slicing`); version-skew style issue, not the same bug." + }, + { + "left": "issue:6086", + "right": "issue:6454", + "accept": true, + "reason": "Same LoRA-training FP16 gradient unscale failure; the titles point to the same concrete bug." + }, + { + "left": "issue:13015", + "right": "issue:5897", + "accept": false, + "reason": "Both are device-mismatch errors, but on different models/hardware and different code paths; too broad to merge." + }, + { + "left": "issue:1433", + "right": "issue:4557", + "accept": false, + "reason": "Different objects and different missing attribute symptoms (`config` vs `__getattr__`)." + }, + { + "left": "issue:3290", + "right": "issue:4868", + "accept": false, + "reason": "Different NoneType/super attribute errors with no shared implementation path." + }, + { + "left": "issue:5054", + "right": "issue:9430", + "accept": false, + "reason": "Unrelated attribute errors in different components (`final_offload_hook` vs `NoneType.get`)." + }, + { + "left": "issue:3382", + "right": "issue:7114", + "accept": false, + "reason": "Both are OOM reports, but they involve different training scripts and settings; not the same concrete bug." + }, + { + "left": "issue:2044", + "right": "issue:5029", + "accept": false, + "reason": "Different missing attributes on different object types; not a duplicate." + }, + { + "left": "issue:1249", + "right": "issue:6126", + "accept": false, + "reason": "Different runtime failures in different subsystems (`numpy.ndarray.device` vs VAE tiling attribute)." + }, + { + "left": "issue:10154", + "right": "issue:6351", + "accept": false, + "reason": "Both mention missing attributes, but one is LoRA loading and the other is DDP adapter disabling; unrelated code paths." + }, + { + "left": "issue:170", + "right": "issue:859", + "accept": false, + "reason": "Different API signature mismatches (`eta` vs `device_map`) in different functions." + }, + { + "left": "issue:1249", + "right": "issue:858", + "accept": false, + "reason": "Different object types and missing attributes; only the broad error pattern matches." + }, + { + "left": "issue:5029", + "right": "issue:8863", + "accept": false, + "reason": "Different failures (`latent_dist` missing vs tuple shape access); no shared bug evidence." + }, + { + "left": "issue:6482", + "right": "issue:8871", + "accept": true, + "reason": "Same `Attempting to unscale FP16 gradients` LoRA-training failure, with the second issue clearly describing the same bug." + }, + { + "left": "issue:10180", + "right": "issue:11651", + "accept": false, + "reason": "Both are FluxControl LoRA load problems, but one is about multiple LoRAs and the other a specific flux-fill LoRA case; not enough to assert one bug." + }, + { + "left": "issue:3973", + "right": "issue:5171", + "accept": false, + "reason": "Different unexpected-argument errors in different functions (`vae_path` vs `safety_checker`)." + }, + { + "left": "issue:4456", + "right": "issue:6126", + "accept": false, + "reason": "Different attribute errors in different parts of the LoRA/VAE stack (`ModuleList[4]` vs `tile_sample_min_size`)." + }, + { + "left": "issue:2669", + "right": "issue:5919", + "accept": false, + "reason": "Both are `AttributeError`s, but the missing attributes and object types differ completely (`replace` vs `set_lora_layer`)." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The issue summary is grounded in the packet, and the soft-edge calls are conservative overall. The three accepted pairs have strong title-level duplication signals, while the rejected pairs mostly differ by concrete API, object, or code path rather than just sharing a broad error class." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10722", + "issue:11117", + "issue:11435", + "issue:11436", + "issue:11464", + "issue:1255", + "issue:12609", + "issue:12612", + "issue:12613", + "issue:1263", + "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:3576", + "issue:3580", + "issue:3627", + "issue:4557", + "issue:4868", + "issue:5022", + "issue:5023", + "issue:5075", + "issue:5399", + "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: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", + "issue:1255|issue:1263" + ], + "prepared_review_unit_hash": "74f3f67064eed847ecf9def9f7fda1519d271344509796da2856c29f1e12883e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34491, + "estimated_input_tokens": 8623, + "estimated_eval_tokens": 17502 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of superficially similar issue reports rather than proven duplicates. The clearest anchor is the active Wan 2.2 i2v NaN-latents report, but the soft-edge pairs mostly do not have enough evidence beyond title overlap to justify collapse/merge conclusions. No PRs were present.", + "confidence": 0.66, + "canonical_issue_reason": "issue:12613 is the strongest cluster anchor because it is the most active open Wan 2.2/i2v NaN-latents report and the most actionable focal point for related discussion, while still leaving room for nearby reports to remain separate without stronger evidence.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12613 is the best overall issue candidate for cluster navigation: it is open, specific, and has the most discussion/inbound attention among the Wan latent-NaN reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1991", + "right": "issue:9895", + "accept": false, + "reason": "Both mention device-mismatch style failures, but they occur in different pipelines and contexts (checkpoint merger vs Flux inference), so this is too broad to treat as the same bug." + }, + { + "left": "issue:6086", + "right": "issue:6442", + "accept": false, + "reason": "The titles are similar, but the available evidence here is only symptom-level AMP/GradScaler overlap; that is not enough to confirm a single underlying bug." + }, + { + "left": "issue:11464", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux/LoRA-related, but one is a pipeline loading problem and the other is an fp8 quantization weight-loading issue; different code paths." + }, + { + "left": "issue:4557", + "right": "issue:9430", + "accept": false, + "reason": "Different exceptions and different failure points; the shared AttributeError wording is not enough to call them duplicates." + }, + { + "left": "issue:4868", + "right": "issue:7922", + "accept": false, + "reason": "Both are generic attribute/import errors, but they refer to different missing symbols in different subsystems, so the evidence is too weak for a merge." + }, + { + "left": "issue:6442", + "right": "issue:6454", + "accept": false, + "reason": "The titles match exactly, but the packet provides no concrete code-path evidence; treat as related reports rather than a confirmed duplicate pair." + }, + { + "left": "issue:2661", + "right": "issue:2662", + "accept": false, + "reason": "The write-error wording is close, but one report is step-specific and the other is broader; the shown evidence does not prove the same bug." + }, + { + "left": "issue:12609", + "right": "issue:12613", + "accept": false, + "reason": "Both mention Wan latent NaNs, but the model/version and i2v context differ; title similarity alone is not enough to merge them." + }, + { + "left": "issue:12612", + "right": "issue:12613", + "accept": false, + "reason": "These are related Wan NaN reports, but they target different model/version contexts (2.1 vs 2.2 i2v), so they should stay separate without stronger evidence." + }, + { + "left": "issue:3576", + "right": "issue:3580", + "accept": false, + "reason": "Both are XFormers TypeError reports, but one is tied to Textual Inversion and the other is a generic XFormers failure; not clearly the same defect." + }, + { + "left": "issue:13203", + "right": "issue:13221", + "accept": false, + "reason": "The titles are very close, but the packet only shows another similarly named ZImage LoRA support issue; that is not enough to confidently treat them as one change/bug." + }, + { + "left": "issue:13162", + "right": "issue:13311", + "accept": false, + "reason": "Both concern Flux.2-klein LoRA support, but one is a general support request and the other is a specific loading error for a different model size; not the same underlying issue." + }, + { + "left": "issue:5022", + "right": "issue:5023", + "accept": false, + "reason": "Both are import errors in the same release, but they are for different symbols and pipelines, so they do not look like one concrete defect." + }, + { + "left": "issue:11117", + "right": "issue:11436", + "accept": false, + "reason": "Both involve dtype mismatches, but the failing operations and pipelines differ, so this is not strong enough evidence for duplication." + }, + { + "left": "issue:1500", + "right": "issue:1616", + "accept": false, + "reason": "These are both LPW community pipeline compatibility reports, but they target different Diffusers versions and different descriptions of the breakage." + }, + { + "left": "issue:7799", + "right": "issue:7931", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a matmul size mismatch and the other is an inpaint/embed-parameter issue; different concrete failures." + }, + { + "left": "issue:1377", + "right": "issue:1444", + "accept": false, + "reason": "Two different missing-class import errors; the common import-error pattern is too generic to merge them." + }, + { + "left": "issue:3627", + "right": "issue:6880", + "accept": false, + "reason": "Both reference Custom Diffusion retrieve.py, but the packet does not provide enough concrete shared failure detail to safely call them the same bug." + }, + { + "left": "issue:12666", + "right": "issue:7185", + "accept": false, + "reason": "Completely different topics: a missing Kandinsky pipeline versus a general PyTorch support question." + }, + { + "left": "issue:9378", + "right": "issue:9403", + "accept": false, + "reason": "These are separate Xlabs support requests for different components (ControlNet vs IP-Adapter), so they should not be merged as one change." + }, + { + "left": "issue:10722", + "right": "issue:8589", + "accept": false, + "reason": "The reports are in the same DreamBooth/prior-preservation area, but one is a concrete tensor-shape mismatch and the other is a broader training inability report; not enough to confirm identity." + }, + { + "left": "issue:11435", + "right": "issue:9062", + "accept": false, + "reason": "Different missing pipeline imports with different symbols and paths; no evidence of the same underlying issue." + }, + { + "left": "issue:6549", + "right": "issue:7033", + "accept": false, + "reason": "Both are IP-Adapter warnings, but the observed behaviors are different (LoRA weight logging vs attention masking), so they are not clearly duplicates." + }, + { + "left": "issue:5075", + "right": "issue:5399", + "accept": false, + "reason": "A shape-mismatch in SDXL Refiner prompt embeddings is not the same as a dtype mismatch in custom inpainting inference." + }, + { + "left": "issue:1255", + "right": "issue:1263", + "accept": false, + "reason": "Both are import errors, but for different classes/modules; the shared symptom is too generic to justify a duplicate call." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The issue-level summary is mostly grounded, but the soft-edge handling is not conservative enough. Several pairs are marked accept even though the packet only gives title-level similarity and the packet\u2019s deterministic label is false for those pairs. The strongest overstatements are 6086/6442, 6442/6454, 2661/2662, 10722/8589, 12609/12613, 13203/13221, and 3627/6880. These may be related, but the evidence shown here does not justify confidently treating them as the same bug. The writeup should stay softer on duplicate/merge conclusions." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10026", + "issue:10180", + "issue:10752", + "issue:10848", + "issue:10963", + "issue:10989", + "issue:11199", + "issue:11283", + "issue:11581", + "issue:11827", + "issue:1255", + "issue:12826", + "issue:13124", + "issue:1444", + "issue:1538", + "issue:1611", + "issue:2294", + "issue:2780", + "issue:2908", + "issue:2947", + "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: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", + "issue:2947|issue:6044" + ], + "prepared_review_unit_hash": "7f40a94b37c2715112e66bf1b0d0d27fffcf6a9b315a9e0575c4bc93b2609656", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35239, + "estimated_input_tokens": 8810, + "estimated_eval_tokens": 17876 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose mix of diffusers issues around imports, training, and Flux/IP-Adapter loading; only a few pairs are clear duplicates, chiefly the ControlNet mixed-precision and textual-inversion/from_single_file reports.", + "confidence": 0.68, + "canonical_issue_reason": "Issue 2908 is the best canonical anchor because it is a concrete, script-specific bug report and has a near-identical duplicate in 2991.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2908 is the most actionable issue in the cluster: it names the exact example script and failure mode, making it the strongest duplicate target among the accepted pairs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10963", + "right": "issue:1255", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and different code paths." + }, + { + "left": "issue:10963", + "right": "issue:4969", + "accept": false, + "reason": "Different missing imports (`AutoencoderKLWan` vs `CrossAttention`), so not the same bug." + }, + { + "left": "issue:2908", + "right": "issue:2991", + "accept": true, + "reason": "Both report ControlNet PyTorch training/example mixed-precision failures in the same training script family." + }, + { + "left": "issue:13124", + "right": "issue:2780", + "accept": false, + "reason": "Same error phrase, but different training scripts and no clear evidence of the same underlying fix." + }, + { + "left": "issue:10026", + "right": "issue:9630", + "accept": false, + "reason": "Both involve Flux ControlNet multi-GPU/single-GPU setups, but one is about memory scaling and the other a specific configuration error." + }, + { + "left": "issue:6112", + "right": "issue:7221", + "accept": false, + "reason": "Both describe noisy outputs, but they are different models and likely different inference/setup issues." + }, + { + "left": "issue:4754", + "right": "issue:579", + "accept": false, + "reason": "Both are textual inversion loading problems, but the missing file and failure mode differ." + }, + { + "left": "issue:8482", + "right": "issue:8615", + "accept": false, + "reason": "These are different feature requests for Stable Diffusion 3, not the same change." + }, + { + "left": "issue:2294", + "right": "issue:3140", + "accept": false, + "reason": "Different missing pipeline imports (`VideoInpaint` vs `ControlNet`) with no shared concrete bug." + }, + { + "left": "issue:12826", + "right": "issue:4969", + "accept": false, + "reason": "Different missing imports (`export_to_video` vs `CrossAttention`)." + }, + { + "left": "issue:11199", + "right": "issue:7681", + "accept": false, + "reason": "Both are import/runtime failures, but one is on `onnx_utils` and the other is an OpenSSL/`lib` dependency error." + }, + { + "left": "issue:11283", + "right": "issue:11827", + "accept": false, + "reason": "Both mention safetensors header deserialization, but they are on different model families and likely different file/data issues." + }, + { + "left": "issue:12826", + "right": "issue:5025", + "accept": false, + "reason": "Different import symbols and unrelated code paths." + }, + { + "left": "issue:3569", + "right": "issue:3638", + "accept": false, + "reason": "These are separate new-pipeline feature requests for different models." + }, + { + "left": "issue:10848", + "right": "issue:11581", + "accept": false, + "reason": "Both concern IP-Adapter loading in FLUX, but the reported constructor kwarg errors differ (`device` vs `dtype`)." + }, + { + "left": "issue:10180", + "right": "issue:10989", + "accept": false, + "reason": "Both are Flux Control LoRA issues, but one is about multiple LoRAs and the other about quantized transformers." + }, + { + "left": "issue:1444", + "right": "issue:4969", + "accept": false, + "reason": "Different import failures for different classes." + }, + { + "left": "issue:1538", + "right": "issue:1611", + "accept": false, + "reason": "Same pipeline name, but different base models and likely different compatibility regressions." + }, + { + "left": "issue:2984", + "right": "issue:7223", + "accept": false, + "reason": "One is a research paper/model request and the other is a new pipeline request; not duplicates." + }, + { + "left": "issue:4063", + "right": "issue:4069", + "accept": true, + "reason": "Near-identical textual inversion unload issues; same underlying pipeline cleanup behavior." + }, + { + "left": "issue:4052", + "right": "issue:4118", + "accept": true, + "reason": "Both are the same from_single_file regression around `AutoencoderKL`, with one being the class-specific variant of the other." + }, + { + "left": "issue:9527", + "right": "issue:9911", + "accept": false, + "reason": "Both are dtype/controlnet-related errors, but the scenarios are different: mixed precision mismatch vs multiple ControlNet layer lengths." + }, + { + "left": "issue:10752", + "right": "issue:6098", + "accept": false, + "reason": "The error text is similar, but there is no evidence they arise from the same training code path or fix." + }, + { + "left": "issue:4052", + "right": "issue:8320", + "accept": false, + "reason": "Same feature area, but `from_single_file` with `__name__` is a distinct error manifestation and likely a different regression." + }, + { + "left": "issue:6044", + "right": "issue:6734", + "accept": false, + "reason": "Different failures: missing `do_classifier_free_guidance` vs tokenizer being `None`." + }, + { + "left": "issue:3279", + "right": "issue:5757", + "accept": false, + "reason": "Both are resume-from-checkpoint problems, but they affect different scripts/models and are not clearly the same bug." + }, + { + "left": "issue:2947", + "right": "issue:6044", + "accept": false, + "reason": "Different missing attributes on different pipeline classes; not the same underlying issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge decisions are appropriately conservative. The accepted duplicate pairs are all reasonably supported by the titles/body descriptions, and the rejected pairs avoid overstating similarity where the bug paths differ. Canonicalizing around issue 2908 is defensible given the script-specific ControlNet mixed-precision report and its close match with 2991." + }, + "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-50-3013", + "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:1572", + "issue:1842", + "issue:1946", + "issue:2044", + "issue:2132", + "issue:2294", + "issue:2780", + "issue:3420", + "issue:3728", + "issue:3884", + "issue:4483", + "issue:4542", + "issue:4619", + "issue:4724", + "issue:4872", + "issue:5897", + "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: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", + "issue:1572|issue:3420" + ], + "prepared_review_unit_hash": "cfc781f3b34e6c28466d63d9db766ad180309eca3ec31a5f8083fe671b4ffb53", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 34477, + "estimated_input_tokens": 8620, + "estimated_eval_tokens": 17496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "A small set of true duplicates is present around FP16-unscale and import-signature regressions; most other pairs are only loosely similar symptoms across different models, scripts, or pipelines and should remain separate.", + "confidence": 0.74, + "canonical_issue_reason": "Issue #6454 is the broadest, most generic report of the recurring \"Attempting to unscale FP16 gradients\" failure, so it best represents the duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #6454 is the best representative because it states the core error cleanly without tying it to one narrow script-specific trigger.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4619", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype-mismatch runtime errors, but they affect different training paths (SDXL LoRA vs Custom Diffusion) and are not clearly the same bug." + }, + { + "left": "issue:12047", + "right": "issue:12147", + "accept": false, + "reason": "Both mention Wan2.2 LoRA problems, but one is fusion and the other loading; different code paths and not clearly one concrete defect." + }, + { + "left": "issue:12097", + "right": "issue:13258", + "accept": false, + "reason": "One is VRAM OOM, the other is a missing Image-to-Video model; these are different problems." + }, + { + "left": "issue:1478", + "right": "issue:4542", + "accept": false, + "reason": "Both are multi-image output limitations, but they hit different pipeline classes and are not clearly the same underlying defect." + }, + { + "left": "issue:8975", + "right": "issue:9062", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and unrelated modules." + }, + { + "left": "issue:11014", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but one is generic high-RAM A100 training and the other is SDXL T4 finetuning; too broad to treat as one bug." + }, + { + "left": "issue:3884", + "right": "issue:5897", + "accept": false, + "reason": "Same script family, but the titles do not identify the same concrete failure; #5897 is a device mismatch while #3884 is generic." + }, + { + "left": "issue:10752", + "right": "issue:2780", + "accept": true, + "reason": "Same FP16-gradient unscale ValueError in LoRA training; #2780 is the exact script-specific report of the same bug." + }, + { + "left": "issue:13124", + "right": "issue:6454", + "accept": false, + "reason": "Both mention the FP16-unscale error, but one is DreamBooth LoRA with a validation_prompt trigger and the other is a broader/general report; not clearly one concrete code path." + }, + { + "left": "issue:1842", + "right": "issue:859", + "accept": false, + "reason": "Both are unexpected-kwarg TypeErrors, but the kwargs differ (eta vs device_map) and point to different incompatibilities." + }, + { + "left": "issue:1100", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors in different wrappers/paths; not the same bug." + }, + { + "left": "issue:852", + "right": "issue:859", + "accept": true, + "reason": "Both report the same device_map unexpected-keyword regression in initialization; same underlying API mismatch." + }, + { + "left": "issue:1263", + "right": "issue:1444", + "accept": true, + "reason": "These are the same missing StableDiffusionSafetyChecker import error, phrased slightly differently." + }, + { + "left": "issue:7133", + "right": "issue:9841", + "accept": false, + "reason": "Different DreamBooth SDXL LoRA problems: checkpoint resume size mismatch vs use_dora TypeError." + }, + { + "left": "issue:4483", + "right": "issue:4724", + "accept": false, + "reason": "Both involve SDXL pipelines, but the reported bugs are different (determinism vs checkpoint/pipeline behavior)." + }, + { + "left": "issue:1255", + "right": "issue:13087", + "accept": false, + "reason": "Both are missing-import errors, but they are different symbols and unrelated fixes." + }, + { + "left": "issue:10066", + "right": "issue:11410", + "accept": false, + "reason": "Both are attention-related unpacking errors, but the expected arity and failing call sites differ, so they are not clearly the same bug." + }, + { + "left": "issue:1082", + "right": "issue:1946", + "accept": false, + "reason": "Different low-level CUDA failures in different contexts; too generic to merge." + }, + { + "left": "issue:1260", + "right": "issue:9062", + "accept": false, + "reason": "Different missing import symbols; not the same issue." + }, + { + "left": "issue:10591", + "right": "issue:8534", + "accept": false, + "reason": "Both are SD3 training-script complaints, but they describe different problems in different scripts." + }, + { + "left": "issue:2044", + "right": "issue:2132", + "accept": false, + "reason": "Different attribute errors on different objects; unrelated failures." + }, + { + "left": "issue:13124", + "right": "issue:6363", + "accept": false, + "reason": "Same broad error family, but the scripts and trigger differ; not enough evidence of one identical underlying bug." + }, + { + "left": "issue:4872", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOMs in SDXL finetuning, but the reports are too general and context-specific to be the same concrete bug." + }, + { + "left": "issue:3728", + "right": "issue:8414", + "accept": false, + "reason": "Completely different model domains and feature requests; not duplicates." + }, + { + "left": "issue:1260", + "right": "issue:2294", + "accept": false, + "reason": "Both are import errors, but they concern different pipeline classes and different missing names." + }, + { + "left": "issue:1572", + "right": "issue:3420", + "accept": false, + "reason": "Both mention pipeline incompatibilities, but the affected pipelines and failure modes differ." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet, and the soft-edge decisions are conservative overall. The accepted pairs are well-supported duplicates (same FP16-unscale error, same device_map init regression, same SafetyChecker import error), while the rejections stay cautious where the packet only shows shared symptoms or related but distinct code paths. The chosen canonical issue #6454 is also a reasonable generic representative of the FP16-unscale 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": 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-50-3013", + "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:1614", + "issue:1734", + "issue:1946", + "issue:1976", + "issue:2296", + "issue:246", + "issue:2947", + "issue:2984", + "issue:3382", + "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: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", + "issue:1946|issue:3382" + ], + "prepared_review_unit_hash": "e303f34fa6daec21415633e668d593403af0ddc737a420d74d37847688d7dec0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33895, + "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 mostly a loose lexical cluster, not one coherent duplicate group. I found only two true duplicate pairs; the rest are related only at a broad subsystem or symptom level and should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits the whole cluster: most items are unrelated import errors, training bugs, pipeline limitations, or feature requests. If forced to anchor the only exact duplicate pair, issue 1255 is the cleanest representative of that narrow import-error duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1255 is the strongest issue candidate for a canonical anchor because it is a clear, specific import-error report with a near-verbatim duplicate (1260). It is still not a good representative of the full set, which is too heterogeneous.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10963", + "right": "issue:4615", + "accept": false, + "reason": "Both are import errors from diffusers, but they concern different missing symbols ('AutoencoderKLWan' vs 'StableDiffusionControlnetPipeline') and likely different code paths." + }, + { + "left": "issue:246", + "right": "issue:409", + "accept": false, + "reason": "Both mention missing transformers-era APIs, but the actual failures are unrelated attributes ('FeatureExtractionMixin' vs 'enable_attention_slicing')." + }, + { + "left": "issue:10963", + "right": "issue:1263", + "accept": false, + "reason": "Same broad theme of missing imports, but different classes/modules and no evidence of the same underlying bug." + }, + { + "left": "issue:10066", + "right": "issue:7049", + "accept": false, + "reason": "Both are unpacking errors, but the expected tuple arity differs and the contexts are different enough to suggest separate bugs." + }, + { + "left": "issue:1255", + "right": "issue:6636", + "accept": false, + "reason": "Both are import-related, but one is a scheduler symbol and the other is a utils constant; not the same underlying issue." + }, + { + "left": "issue:7766", + "right": "issue:8817", + "accept": false, + "reason": "Both concern IP-Adapter FaceID usage, but one is a how-to/question thread and the other is a concrete failure report; too little evidence they share one bug." + }, + { + "left": "issue:3812", + "right": "issue:6435", + "accept": false, + "reason": "Both are default/config initialization problems, but they refer to different fields and different models." + }, + { + "left": "issue:12096", + "right": "issue:12141", + "accept": false, + "reason": "Both are WanVACEPipeline complaints, but one is about group offloading and the other is about bf16/fp16 VAE handling; different failures." + }, + { + "left": "issue:10453", + "right": "issue:9051", + "accept": false, + "reason": "Both are batch-size limitations, but they are for different pipelines/models and do not look like one concrete bug." + }, + { + "left": "issue:1260", + "right": "issue:4615", + "accept": false, + "reason": "Both are import errors, but for different public classes; not the same missing-export bug." + }, + { + "left": "issue:4446", + "right": "issue:4911", + "accept": true, + "reason": "Same StableDiffusionPipeline.from_single_file custom text_encoder loading failure, described with nearly identical wording." + }, + { + "left": "issue:7940", + "right": "issue:9396", + "accept": false, + "reason": "Both are Korean translation tracking issues, not the same bug or change request." + }, + { + "left": "issue:12492", + "right": "issue:7516", + "accept": false, + "reason": "Different missing attributes in different objects/modules; same general API-version theme, but not the same bug." + }, + { + "left": "issue:1976", + "right": "issue:2296", + "accept": false, + "reason": "One is a bad file lookup during loading, the other is xformers behavior on T4; unrelated root causes." + }, + { + "left": "issue:5016", + "right": "issue:6894", + "accept": false, + "reason": "Both involve LoRA/dreambooth scripts, but one is about SDXL text-encoder training and the other about LoRA compatibility in A1111; not the same fix." + }, + { + "left": "issue:2984", + "right": "issue:7333", + "accept": false, + "reason": "Different video-generation research/feature threads with no concrete shared bug or change." + }, + { + "left": "issue:13124", + "right": "issue:6482", + "accept": false, + "reason": "Both mention FP16 unscale errors, but the triggering conditions differ and one is specifically tied to validation prompt handling while the other is resume-from-checkpoint." + }, + { + "left": "issue:4241", + "right": "issue:5594", + "accept": false, + "reason": "Both mention LoRA, but one asks about unidiffusers fine-tuning support and the other is about SDXL memory usage; unrelated." + }, + { + "left": "issue:7041", + "right": "issue:9889", + "accept": false, + "reason": "Both are segfaults, but on different inference setups and with no shared code-path evidence." + }, + { + "left": "issue:10860", + "right": "issue:11790", + "accept": false, + "reason": "Both are LoRA weight-loading problems, but one is specific to ComfyUI incompatibility and the other is a generic load failure in a different training script." + }, + { + "left": "issue:2947", + "right": "issue:9534", + "accept": false, + "reason": "Different missing attributes on different model classes; not the same underlying API regression." + }, + { + "left": "issue:1734", + "right": "issue:5197", + "accept": false, + "reason": "Both concern multi-GPU performance, but they describe different training scripts and one is slowdown while the other is OOM; too broad to merge." + }, + { + "left": "issue:1614", + "right": "issue:6446", + "accept": false, + "reason": "Different symptoms in stable diffusion loading/inference; one is blank output under autocast, the other is model loading on Colab." + }, + { + "left": "issue:4615", + "right": "issue:9062", + "accept": false, + "reason": "Both are missing imports from diffusers, but they are for different pipelines/classes and are not the same export issue." + }, + { + "left": "issue:1946", + "right": "issue:3382", + "accept": false, + "reason": "One is an xformers CUDA invalid-argument crash, the other is multi-GPU OOM; different failure modes and fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded overall. The cluster does look heterogeneous, and the two near-duplicate issue pairs you singled out are well supported by the packet: 1255/1260 and 4446/4911. The remaining soft-edge rejections are conservative and do not overclaim equivalence." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:1988", + "issue:2947", + "issue:3094", + "issue:3140", + "issue:3382", + "issue:4186", + "issue:4213", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4969", + "issue:5246", + "issue:5510", + "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: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", + "issue:1988|issue:5510" + ], + "prepared_review_unit_hash": "15d5746fc52be98ddaaa0894bd21db42991798336a148bf0d50ed56056135fed", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35100, + "estimated_input_tokens": 8775, + "estimated_eval_tokens": 17806 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose similarity cluster spanning several unrelated Diffusers issues, with one clear subcluster around the DreamBooth/LoRA FP16 unscale error and a smaller pair around StableDiffusionMegaPipeline / stable-diffusion-inpainting loading.", + "confidence": 0.72, + "canonical_issue_reason": "issue:6454 is the cleanest representative of the recurring FP16-unscale bug family: it has the generic error title, aligns with the accepted DreamBooth/LoRA duplicates, and is less script-specific than the older example reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6454 is the best cluster representative because it names the core failure directly and captures the broadest version of the shared training bug without tying it to one notebook or example.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5563", + "right": "issue:9841", + "accept": false, + "reason": "Same broad DreamBooth/SDXL LoRA area, but 9841 is a specific use_dora TypeError while 5563 is only a generic umbrella report; not clearly the same bug." + }, + { + "left": "issue:10436", + "right": "issue:9421", + "accept": true, + "reason": "Both report the same model repo, runwayml/stable-diffusion-inpainting, failing to load/access; this looks like the same underlying availability/loading problem." + }, + { + "left": "issue:1925", + "right": "issue:4186", + "accept": false, + "reason": "Both mention inpainting, but one is SD 2 inpainting half-precision and the other is SDXL inpaint with refiner; different model paths and failure modes." + }, + { + "left": "issue:3382", + "right": "issue:6146", + "accept": false, + "reason": "Both involve multi-GPU training, but one is an OOM in train_text_to_image and the other is a general accelerate-based multi-GPU training question; not the same concrete bug." + }, + { + "left": "issue:1013", + "right": "issue:1611", + "accept": true, + "reason": "These are essentially the same StableDiffusionMegaPipeline regression with runwayml/stable-diffusion-v1-5 after v0.6.0; same pipeline and same breakage." + }, + { + "left": "issue:9497", + "right": "issue:9790", + "accept": false, + "reason": "Both are Flux DreamBooth training reports, but the concrete failures differ (mat2 1-D tensor vs general multi-GPU training problem)." + }, + { + "left": "issue:5563", + "right": "issue:9970", + "accept": false, + "reason": "Both are generic SDXL DreamBooth LoRA training failures, but the reports are too broad to show the same underlying code-path bug." + }, + { + "left": "issue:1255", + "right": "issue:4615", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols (DPMSolverMultistepScheduler vs StableDiffusionControlnetPipeline) and are not the same issue." + }, + { + "left": "issue:1988", + "right": "issue:7854", + "accept": false, + "reason": "Same high-level dtype mismatch symptom, but they occur in different contexts/pipelines; not enough evidence of one shared bug." + }, + { + "left": "issue:5873", + "right": "issue:7185", + "accept": false, + "reason": "ONNX export of scaled_dot_product_attention and general PyTorch 2.2 compatibility are different problems." + }, + { + "left": "issue:3094", + "right": "issue:4736", + "accept": false, + "reason": "Both mention memory/instability during training, but they are different scripts and one includes an additional invalid-cast symptom; too broad to merge." + }, + { + "left": "issue:11033", + "right": "issue:4213", + "accept": false, + "reason": "Both are from_single_file loading problems, but one is SD1.5 UNet loading and the other is SDXL without accelerate; different code paths." + }, + { + "left": "issue:2947", + "right": "issue:7228", + "accept": false, + "reason": "Different attribute errors on different objects ('load_attn_procs' vs 'dtype'); not the same underlying bug." + }, + { + "left": "issue:1377", + "right": "issue:4969", + "accept": false, + "reason": "Different missing imports from different packages/classes; only similar by being ImportErrors." + }, + { + "left": "issue:6298", + "right": "issue:7210", + "accept": false, + "reason": "CLIPImageProjection missing in GLIGEN and named_parameters missing with accelerate dispatch are unrelated failures." + }, + { + "left": "issue:1100", + "right": "issue:9534", + "accept": false, + "reason": "A CLIPTextTransformer device attribute issue and a FluxMultiControlNetModel config issue are unrelated." + }, + { + "left": "issue:12195", + "right": "issue:5246", + "accept": false, + "reason": "One is a torch.library.custom_op compatibility failure in AutoencoderKL; the other is a missing CLIPImageProjection attribute. Different bugs." + }, + { + "left": "issue:12529", + "right": "issue:13258", + "accept": false, + "reason": "Same model family, but one is a tiled VAE tensor size mismatch and the other is a missing image-to-video model; not the same change or bug." + }, + { + "left": "issue:3094", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports during training, but on different training scripts and settings; memory pressure alone is too broad." + }, + { + "left": "issue:11853", + "right": "issue:4724", + "accept": false, + "reason": "Different SDXL composition problems: controlnet+IP-Adapter size conflict versus img2img with the base checkpoint." + }, + { + "left": "issue:1315", + "right": "issue:3140", + "accept": false, + "reason": "Different missing imports affecting different symbols and pipelines; not a duplicate pair." + }, + { + "left": "issue:7210", + "right": "issue:858", + "accept": false, + "reason": "AttributeError on named_parameters during accelerate dispatch and named_children on Parameter are unrelated failures." + }, + { + "left": "issue:1246", + "right": "issue:6454", + "accept": true, + "reason": "Both are the same FP16 unscale error in Dreambooth training/example code; this is the same underlying bug resurfacing in a newer report." + }, + { + "left": "issue:10752", + "right": "issue:6124", + "accept": true, + "reason": "Exact same FP16 gradient unscale error in DreamBooth/LoRA training, just reported in different wording and notebook/script contexts." + }, + { + "left": "issue:7114", + "right": "issue:7146", + "accept": false, + "reason": "Both are SDXL training OOM reports, but they are separate scripts and likely separate tuning situations rather than one concrete bug." + }, + { + "left": "issue:1988", + "right": "issue:5510", + "accept": false, + "reason": "Same runtime error string, but the reports are from different pipelines and contexts; not enough to treat as one fixable bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The representative choice and canonicalization are grounded in the packet, and the accepted soft-edge pairs are conservative matches. The only notable cluster is the FP16 unscale DreamBooth/LoRA family, with a couple of separate loading/regression pairs elsewhere; no verdict looks 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": 21, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3816", + "issue:4052", + "issue:4086", + "issue:4118", + "issue:4448", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4848", + "issue:5029", + "issue:5565", + "issue:5603", + "issue:5607", + "issue:5960", + "issue:6044", + "issue:6101", + "issue:6131", + "issue:6415", + "issue:6446", + "issue:6570", + "issue:6598", + "issue:6734", + "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: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", + "issue:5029|issue:6734" + ], + "prepared_review_unit_hash": "35e5abdeab95fc3796c97765b0a133ae52f3c35982bcc3f92e856e6a792e06fb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35003, + "estimated_input_tokens": 8751, + "estimated_eval_tokens": 17758 + }, + "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 loading/training/import issues. None of the soft pairs look like true duplicates or the same fixable code-path bug, so I would not merge any of them into a single canonical artifact. There are no PRs in the set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1100", + "right": "issue:9111", + "accept": false, + "reason": "Both are runtime complaints, but one is a CLIPTextTransformer device attribute error and the other is BitDiffusion missing a scheduler. Different components and failures." + }, + { + "left": "issue:11104", + "right": "issue:11143", + "accept": false, + "reason": "Offload-method breakage and poor generated video quality are different problems; same model family, not the same bug." + }, + { + "left": "issue:10722", + "right": "issue:6570", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but they occur in different pipelines/workflows (DreamBooth prior preservation vs SDXL InstructPix2Pix). Too broad to be the same bug." + }, + { + "left": "issue:9841", + "right": "issue:9970", + "accept": false, + "reason": "Both involve SDXL DreamBooth/LoRA training, but the reported failures differ (use_dora TypeError vs generic script failure). Not enough evidence of one underlying defect." + }, + { + "left": "issue:1444", + "right": "issue:4615", + "accept": false, + "reason": "Both are import errors, but for different symbols and different code paths. Not the same missing-export issue." + }, + { + "left": "issue:3816", + "right": "issue:7681", + "accept": false, + "reason": "CLIPImageProcessor missing from transformers and an OpenSSL/lib import failure are unrelated." + }, + { + "left": "issue:12009", + "right": "issue:7506", + "accept": false, + "reason": "Both mention meta tensors, but they affect different models and loaders (Wan GGUF vs CLIPTextModelWithProjection). Not the same bug." + }, + { + "left": "issue:6598", + "right": "issue:7432", + "accept": false, + "reason": "Both discuss image quality differences versus WebUI, but they are subjective output comparisons rather than one concrete defect." + }, + { + "left": "issue:4052", + "right": "issue:8537", + "accept": false, + "reason": "Missing from_single_file and missing torch.float8_e4m3fn are unrelated compatibility problems." + }, + { + "left": "issue:10969", + "right": "issue:989", + "accept": false, + "reason": "Both say 'weight must be 2-D', but one is FLUX-controlnet zero3 training and the other is a different generic runtime error. Too little evidence they are the same code-path failure." + }, + { + "left": "issue:12195", + "right": "issue:4118", + "accept": false, + "reason": "Torch custom_op missing and AutoencoderKL lacking from_single_file are different API/version issues." + }, + { + "left": "issue:4086", + "right": "issue:7708", + "accept": false, + "reason": "ControlNet training failure and missing tokenizer/config.json for an SDXL checkpoint are different problems." + }, + { + "left": "issue:5607", + "right": "issue:8826", + "accept": false, + "reason": "Tensor-size mismatch and torch.cat on an empty list are different runtime failures." + }, + { + "left": "issue:5565", + "right": "issue:9970", + "accept": false, + "reason": "Both are DreamBooth SDXL LoRA training related, but one is an example script usability issue and the other is a training failure. Not the same bug." + }, + { + "left": "issue:6131", + "right": "issue:6415", + "accept": false, + "reason": "IP-Adapter Plus support issues are related, but one is a general 'not working' report and the other is a FaceID/FaceID Plus support request. Different concrete artifacts." + }, + { + "left": "issue:11033", + "right": "issue:9171", + "accept": false, + "reason": "Both touch from_single_file loading for SD1.5, but 9171 is a specific v_prediction regression while 11033 is a broader UNet loading failure. Not clearly the same fix." + }, + { + "left": "issue:4448", + "right": "issue:6101", + "accept": false, + "reason": "Both compare diffusers output quality to A1111/controlnet, but one is outpainting quality and the other is inpaint pipeline performance. Different issues." + }, + { + "left": "issue:1255", + "right": "issue:12826", + "accept": false, + "reason": "Missing DPMSolverMultistepScheduler and missing export_to_video are unrelated import/export problems." + }, + { + "left": "issue:13087", + "right": "issue:5603", + "accept": false, + "reason": "Missing Flux2KleinPipeline and missing is_safetensors_available are unrelated API surface issues." + }, + { + "left": "issue:10436", + "right": "issue:6446", + "accept": false, + "reason": "Both are model loading failures, but for different checkpoints and symptoms. Not the same underlying load bug." + }, + { + "left": "issue:1100", + "right": "issue:6044", + "accept": false, + "reason": "A device attribute error on CLIPTextTransformer is unrelated to StableDiffusionImg2ImgPipeline missing do_classifier_free_guidance." + }, + { + "left": "issue:4736", + "right": "issue:5960", + "accept": false, + "reason": "Both mention invalid casts during training, but one also includes OOM and the other is specifically ControlNet SDXL image casting. Not the same concrete defect." + }, + { + "left": "issue:4848", + "right": "issue:7666", + "accept": false, + "reason": "A custom pipeline not working and that same pipeline not working with from_single_file are related, but the reports are too broad to confirm one identical bug." + }, + { + "left": "issue:4724", + "right": "issue:993", + "accept": false, + "reason": "SDXL img2img behavior and fp16 dtype mismatch are different issues." + }, + { + "left": "issue:5029", + "right": "issue:6734", + "accept": false, + "reason": "AutoencoderTinyOutput missing latent_dist and a NoneType tokenize error are unrelated 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": 22, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3140", + "issue:3325", + "issue:3565", + "issue:3639", + "issue:3728", + "issue:3787", + "issue:3788", + "issue:3973", + "issue:4186", + "issue:4206", + "issue:4529", + "issue:4615", + "issue:5374", + "issue:5563", + "issue:5661", + "issue:5894", + "issue:5897", + "issue:5972", + "issue:6044", + "issue:6230", + "issue:6277", + "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: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", + "issue:3140|issue:3787" + ], + "prepared_review_unit_hash": "a989c457dab79a77c996acfa09dff927fb61d3be5cb97ab082c4df17536be373", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34078, + "estimated_input_tokens": 8520, + "estimated_eval_tokens": 17296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: import errors, OOMs, pipeline requests, and several unrelated training bugs. Only one soft pair looks like a strong duplicate candidate (the LoRA gradient issue around train_text_to_image_lora.py).", + "confidence": 0.91, + "canonical_issue_reason": "If a canonical issue must be chosen, issue 2780 is the most concrete and actionable bug report: it names the exact script and exact failure (`Attempting to unscale FP16 gradients`), and it has the clearest duplicate-looking counterpart (6277).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2780 is the best representative because it is specific, reproducible, and tightly scoped to a single code path; most other issues here are either generic, version-specific import errors, or separate feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5563", + "right": "issue:9973", + "accept": false, + "reason": "Both are SDXL/DreamBooth/LoRA training reports, but they describe different failures: generic training errors vs an FP16 unscale error at the last step." + }, + { + "left": "issue:1709", + "right": "issue:6044", + "accept": false, + "reason": "Different pipelines and different exceptions (`astype` on Tensor vs missing `do_classifier_free_guidance`)." + }, + { + "left": "issue:3325", + "right": "issue:7146", + "accept": false, + "reason": "Same broad training area, but one is CUDA invalid-argument in DreamBooth and the other is a clear OOM in SDXL text-to-image." + }, + { + "left": "issue:2294", + "right": "issue:9062", + "accept": false, + "reason": "Both are missing-import issues, but they are for different symbols and different pipelines (`StableDiffusionVideoInpaintPipeline` vs `StableAudioPipeline`)." + }, + { + "left": "issue:3639", + "right": "issue:3728", + "accept": false, + "reason": "Different new pipelines/model proposals; no shared bug or code path." + }, + { + "left": "issue:1260", + "right": "issue:3787", + "accept": false, + "reason": "Both are import failures, but one is a missing top-level symbol and the other is a partially initialized-module import cycle." + }, + { + "left": "issue:5894", + "right": "issue:7002", + "accept": false, + "reason": "Similar error wording, but 7002 is specifically an img2img pipeline buffer-size failure while 5894 is a generic invalid-buffer-size report without enough evidence of the same root cause." + }, + { + "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 vague training failure; not enough to treat as the same bug." + }, + { + "left": "issue:1315", + "right": "issue:1444", + "accept": false, + "reason": "Different missing imports (`PIL_INTERPOLATION` vs `StableDiffusionSafetyChecker`)." + }, + { + "left": "issue:1500", + "right": "issue:1604", + "accept": false, + "reason": "Same file, but the reports are tied to different Diffusers versions and do not clearly describe the same concrete regression." + }, + { + "left": "issue:10472", + "right": "issue:2548", + "accept": false, + "reason": "Both are LoRA-related, but one is an inference-time unexpected kwarg (`lora_bias`) and the other is a saving-time finetuning error." + }, + { + "left": "issue:2780", + "right": "issue:6277", + "accept": true, + "reason": "Same example script and same gradient-related failure domain; the titles strongly indicate the same underlying LoRA training bug." + }, + { + "left": "issue:4529", + "right": "issue:9962", + "accept": false, + "reason": "Different unexpected keyword arguments in different code paths (`network_alpha` vs `use_cuda_graph`)." + }, + { + "left": "issue:13087", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports for different pipeline classes." + }, + { + "left": "issue:2044", + "right": "issue:9111", + "accept": false, + "reason": "Unrelated failures: DDP has no `dtype` vs BitDiffusion missing `scheduler`." + }, + { + "left": "issue:861", + "right": "issue:945", + "accept": false, + "reason": "Both are model-conversion related, but one is ckpt-to-diffusers and the other is ckpt-to-ONNX; different tools and failure modes." + }, + { + "left": "issue:5661", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: a missing tokenizer type in 0.22.1 vs SDXL LoRA-to-Diffusers conversion failure." + }, + { + "left": "issue:3973", + "right": "issue:5374", + "accept": false, + "reason": "Both are unexpected-kwarg errors in conversion utilities, but they involve different functions and different parameters." + }, + { + "left": "issue:4206", + "right": "issue:5972", + "accept": false, + "reason": "One is a broken SDXL controlnet training path; the other is documentation for Min-SNR weighting." + }, + { + "left": "issue:3639", + "right": "issue:3788", + "accept": false, + "reason": "Both are new pipeline proposals, but they are for different models and not the same change." + }, + { + "left": "issue:3325", + "right": "issue:5897", + "accept": false, + "reason": "Different training failures: CUDA invalid argument vs device mismatch between CPU and CUDA." + }, + { + "left": "issue:10839", + "right": "issue:9237", + "accept": false, + "reason": "Both mention Flux DreamBooth LoRA training, but the reports are too generic to confirm the same concrete bug." + }, + { + "left": "issue:4186", + "right": "issue:7708", + "accept": false, + "reason": "Completely different issues: SDXL inpaint/refiner behavior vs missing tokenizer config for a base model." + }, + { + "left": "issue:3565", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but they concern different training scripts/models and do not look like one mergeable bug." + }, + { + "left": "issue:3140", + "right": "issue:3787", + "accept": false, + "reason": "Different import failures with different root causes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative on the soft-edge pairs. The one accepted pair (issue:2780 / issue:6277) is well supported by the shared example script and gradient-failure wording, and the rejected pairs are generally justified by clear differences in symbols, pipelines, error types, or issue scope. No obvious overstatement of 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": 23, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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: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:9450", + "issue:9895", + "issue:9914", + "issue:9962" + ], + "soft_pairs": [ + "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", + "issue:9450|issue:9895" + ], + "prepared_review_unit_hash": "1e8114d3be6be3050f2e26cea6d9b8ca93875b84ce65341a25b6a5a1ab0ed90d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35105, + "estimated_input_tokens": 8777, + "estimated_eval_tokens": 17810 + }, + "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. I accepted only clear same-bug duplicates around FP16 unscale failures, SDXL checkpoint-resume, and Flux device-placement regression.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 6363 is the strongest duplicate anchor: it has the exact FP16 unscale error and specific training-script context, making it the most representative of the accepted duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Best overall issue because it is precise, reproducible, and clearly shared by multiple near-duplicate reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8534", + "right": "issue:8887", + "accept": false, + "reason": "Both are SD3 training-script problems, but they describe different bugs: logit-normal weighting vs. VAE encode." + }, + { + "left": "issue:10612", + "right": "issue:9914", + "accept": false, + "reason": "Both involve Flux LoRA loading, but one is NF4 fill-pipeline loading and the other is Xlabs-trained LoRA loading; not the same code path." + }, + { + "left": "issue:12195", + "right": "issue:8307", + "accept": false, + "reason": "Unrelated failures: a PyTorch custom_op compatibility error vs. a missing StableCascadeUNet export." + }, + { + "left": "issue:4356", + "right": "issue:9067", + "accept": false, + "reason": "Both are import/module errors, but they refer to different missing modules and likely different breakages." + }, + { + "left": "issue:4488", + "right": "issue:4840", + "accept": false, + "reason": "Different loading bugs in different pipelines/models; not a single concrete duplicate." + }, + { + "left": "issue:1946", + "right": "issue:7146", + "accept": false, + "reason": "xformers CUDA invalid-argument and SDXL fine-tuning OOM are different failure modes." + }, + { + "left": "issue:255", + "right": "issue:5595", + "accept": false, + "reason": "These are about image size validation, but one reports an error on valid divisible-by-8 sizes while the other reports an expected error for non-divisible dimensions." + }, + { + "left": "issue:1249", + "right": "issue:246", + "accept": false, + "reason": "Completely different problems: an ONNX pipeline ndarray/device issue vs. a missing transformers mixin import." + }, + { + "left": "issue:10928", + "right": "issue:7716", + "accept": false, + "reason": "Both are missing-file OSErrors, but the missing files and model directories are different." + }, + { + "left": "issue:10453", + "right": "issue:13073", + "accept": false, + "reason": "Both are unsupported-parameter complaints, but one is batch size and the other is guidance_scale; unrelated bugs." + }, + { + "left": "issue:1544", + "right": "issue:7210", + "accept": false, + "reason": "Different components and different missing attributes: scheduler get_velocity vs. pipeline named_parameters." + }, + { + "left": "issue:10436", + "right": "issue:1976", + "accept": false, + "reason": "Both involve loading models from Hugging Face, but the failing models and incorrect paths/files are different." + }, + { + "left": "issue:7228", + "right": "issue:7784", + "accept": false, + "reason": "Different missing attributes on different pipeline classes; not the same underlying bug." + }, + { + "left": "issue:7644", + "right": "issue:8788", + "accept": false, + "reason": "Both mention non-power-of-2 images, but they affect different pipelines and appear to be different limitations." + }, + { + "left": "issue:4566", + "right": "issue:5840", + "accept": true, + "reason": "Same underlying SDXL LoRA checkpoint-resume bug, both centered on training resuming from checkpoint." + }, + { + "left": "issue:10963", + "right": "issue:1315", + "accept": false, + "reason": "Both are import errors, but they are for unrelated symbols and modules." + }, + { + "left": "issue:12778", + "right": "issue:6741", + "accept": false, + "reason": "FluxImageProcessor attribute error and Diffusion DPO argparse failure are unrelated." + }, + { + "left": "issue:1249", + "right": "issue:7210", + "accept": false, + "reason": "Unrelated errors in different areas: ONNX pipeline ndarray handling vs. pipeline checkpoint dispatch." + }, + { + "left": "issue:1444", + "right": "issue:3140", + "accept": false, + "reason": "Both are missing imports, but they are different pipeline classes with no clear shared bug." + }, + { + "left": "issue:4409", + "right": "issue:6126", + "accept": false, + "reason": "Different model classes and different missing attributes; not a single duplicate." + }, + { + "left": "issue:539", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but the APIs and arguments are unrelated." + }, + { + "left": "issue:4224", + "right": "issue:6126", + "accept": false, + "reason": "Different attribute errors on different model types; no shared concrete failure." + }, + { + "left": "issue:1246", + "right": "issue:6363", + "accept": true, + "reason": "Same FP16 unscale gradient error, with the same underlying training bug." + }, + { + "left": "issue:10752", + "right": "issue:1246", + "accept": true, + "reason": "Same exact FP16 gradient unscale failure, just described at different levels of specificity." + }, + { + "left": "issue:11214", + "right": "issue:5374", + "accept": false, + "reason": "Different signatures and different errors: attention forward kwarg handling vs. checkpoint_path argument parsing." + }, + { + "left": "issue:9450", + "right": "issue:9895", + "accept": true, + "reason": "Both describe the same FluxPipeline device-placement regression leading to tensors on CPU and CUDA at the same time." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst output is conservative and grounded in the packet. The accepted pairs are plausible same-bug duplicates (FP16 unscale, SDXL checkpoint-resume, Flux device mismatch), and the rejected soft-edge pairs are generally separated by different error modes or different code paths. I don\u2019t see an overstatement of 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": 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-50-3013", + "nodes": [ + "issue:10928", + "issue:11014", + "issue:11362", + "issue:12157", + "issue:12174", + "issue:1246", + "issue:12492", + "issue:12529", + "issue:1263", + "issue:12826", + "issue:13087", + "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:9901" + ], + "soft_pairs": [ + "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", + "issue:1263|issue:13087" + ], + "prepared_review_unit_hash": "5f5a308e8a393ad072ba352ce20eca79efc5a411d02f796f68a4c07d5e1c157f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34684, + "estimated_input_tokens": 8671, + "estimated_eval_tokens": 17598 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy and unrelated. The only strong duplicate subgroup is the recurring \"Attempting to unscale FP16 gradients\" training-script failures; the rest of the soft pairs are not the same underlying bug/change.", + "confidence": 0.64, + "canonical_issue_reason": "issue:7330 is the clearest representative of the recurring FP16 unscale-gradient bug: the title states the exact error and it matches multiple near-duplicate training reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7330 is the best issue to keep as the representative report for the FP16 gradient-unscale problem because it is specific, explicit, and directly matches the repeated failure signature across scripts.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4409", + "right": "issue:5518", + "accept": false, + "reason": "Both are AttributeErrors, but they involve different missing attributes in different code paths ('alphas_cumprod' vs 'time')." + }, + { + "left": "issue:11014", + "right": "issue:6028", + "accept": false, + "reason": "Both mention CUDA OOM, but they are different models/workflows and do not indicate the same bug." + }, + { + "left": "issue:13124", + "right": "issue:7330", + "accept": true, + "reason": "Same concrete failure signature: \"Attempting to unscale FP16 gradients\" in DreamBooth/text-to-image training scripts; the validation_prompt mention looks like a trigger of the same bug." + }, + { + "left": "issue:5857", + "right": "issue:6382", + "accept": false, + "reason": "Different problems: LCM LoRA/AnimateDiff behavior versus an IP-adapter key error." + }, + { + "left": "issue:12157", + "right": "issue:6353", + "accept": false, + "reason": "Different failures in different training setups: bnb quantization config iteration error vs SDXL controlnet example failure." + }, + { + "left": "issue:3040", + "right": "issue:9901", + "accept": false, + "reason": "Unrelated AttributeErrors with different objects and code paths." + }, + { + "left": "issue:3794", + "right": "issue:4304", + "accept": false, + "reason": "These are feature requests about LoRA/SDXL support, not the same bug." + }, + { + "left": "issue:12529", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor-shape mismatch reports, but they affect different models/pipelines and likely different shape-handling code." + }, + { + "left": "issue:6427", + "right": "issue:7178", + "accept": false, + "reason": "Different functionality entirely: model conversion to .ckpt versus export_to_video." + }, + { + "left": "issue:10928", + "right": "issue:9044", + "accept": false, + "reason": "Both are missing-file OSErrors, but they refer to different filenames and model directories, so they are not clearly the same bug." + }, + { + "left": "issue:11362", + "right": "issue:5374", + "accept": false, + "reason": "Different unexpected-keyword-argument errors in different classes; no shared concrete code path is evident." + }, + { + "left": "issue:1709", + "right": "issue:4073", + "accept": false, + "reason": "Same symptom class ('astype' on Tensor) but in different pipelines/code paths; not enough to treat as the same bug." + }, + { + "left": "issue:2089", + "right": "issue:6697", + "accept": false, + "reason": "Both are CUDA OOM reports, but they concern different training setups and models." + }, + { + "left": "issue:1246", + "right": "issue:6482", + "accept": true, + "reason": "Same exact FP16 unscale-gradient error, with the SDXL advanced report describing the same training-time failure under resume_from_checkpoint." + }, + { + "left": "issue:1925", + "right": "issue:4086", + "accept": false, + "reason": "Different model/pipeline failures: half-precision in SD2 inpainting versus SDXL ControlNet training behavior." + }, + { + "left": "issue:12174", + "right": "issue:8182", + "accept": false, + "reason": "Unrelated AttributeErrors on different classes ('super' __getattr__ vs Logger.warninging)." + }, + { + "left": "issue:12492", + "right": "issue:6955", + "accept": false, + "reason": "Different import/version compatibility issues involving different symbols and modules." + }, + { + "left": "issue:3279", + "right": "issue:4733", + "accept": false, + "reason": "Both mention checkpoint resume problems, but the reported failures are not the same concrete bug or error signature." + }, + { + "left": "issue:12826", + "right": "issue:6636", + "accept": false, + "reason": "Different import errors for different symbols; not the same issue." + }, + { + "left": "issue:1552", + "right": "issue:3420", + "accept": false, + "reason": "Different pipeline/model behavior complaints; no shared bug." + }, + { + "left": "issue:4186", + "right": "issue:4483", + "accept": false, + "reason": "Different topics entirely: SDXL inpaint/refiner behavior versus generator determinism." + }, + { + "left": "issue:5054", + "right": "issue:7784", + "accept": false, + "reason": "Both are missing-attribute pipeline errors, but they affect different pipeline classes and methods." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted soft pairs are well-supported by the shared exact FP16 unscale-gradient error signature, while the rejections generally avoid over-calling similarity on only generic symptom overlap. No PR-pair issue 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": 25, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10226", + "issue:10839", + "issue:11005", + "issue:11045", + "issue:11581", + "issue:12436", + "issue:1246", + "issue:12492", + "issue:1709", + "issue:1976", + "issue:1988", + "issue:2044", + "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:6044", + "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:9227", + "issue:9393", + "issue:9548", + "issue:9901" + ], + "soft_pairs": [ + "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:11581|issue:12436", + "issue:1988|issue:5805", + "issue:2044|issue:6044" + ], + "prepared_review_unit_hash": "8cd08451bcbb6ff7c9c0318d6ffcf2e4b5906fc1f322346ebac87f23e6ffd576", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35073, + "estimated_input_tokens": 8769, + "estimated_eval_tokens": 17794 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a mix of unrelated issues. Two soft-edge pairs look like true duplicates: the FP16 unscale-gradients reports, and the NoneType/added_cond_kwargs error in UNet forward. The Flux/Dreambooth items are related in topic but not clearly the same underlying bug.", + "confidence": 0.88, + "canonical_issue_reason": "Issue #1246 is the strongest canonical representative: it is older, has much more discussion/inbound references, and matches #6098\u2019s exact FP16 unscale-gradients error.", + "canonical_pr_reason": null, + "best_issue_reason": "#1246 is the best overall issue candidate because it is the clearest established duplicate target among the provided items and has the most evidence/history.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7228", + "right": "issue:9901", + "accept": false, + "reason": "Different failure modes: traced-model dtype access vs AttnProcessor returning a tuple/shape error." + }, + { + "left": "issue:10226", + "right": "issue:7133", + "accept": false, + "reason": "Both mention size mismatch, but one is Flux Dreambooth LoRA and the other is SDXL resuming from checkpoint; not the same bug." + }, + { + "left": "issue:2616", + "right": "issue:646", + "accept": false, + "reason": "Unrelated errors: save_attn_procs NoneType.replace vs PNDMScheduler set_format missing." + }, + { + "left": "issue:4925", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but the training setups and symptoms are not the same concrete bug." + }, + { + "left": "issue:11005", + "right": "issue:4308", + "accept": false, + "reason": "Docstring/default mismatch in different pipeline code; not a duplicate bug report." + }, + { + "left": "issue:246", + "right": "issue:858", + "accept": false, + "reason": "Different missing-attribute problems in transformers vs a Parameter.named_children error." + }, + { + "left": "issue:2571", + "right": "issue:6281", + "accept": false, + "reason": "Different import errors for different classes; no shared underlying issue." + }, + { + "left": "issue:1246", + "right": "issue:6098", + "accept": true, + "reason": "Same FP16 gradient unscale error; #6098 is essentially the same bug wording as the older Dreambooth report." + }, + { + "left": "issue:4324", + "right": "issue:4649", + "accept": true, + "reason": "Same underlying NoneType/added_cond_kwargs problem in UNet forward; the error wording and code path align closely." + }, + { + "left": "issue:7146", + "right": "issue:8613", + "accept": false, + "reason": "Both are memory-related, but one is SDXL fine-tuning OOM and the other is caption_column-triggered OOM." + }, + { + "left": "issue:1709", + "right": "issue:8307", + "accept": false, + "reason": "Completely different errors: ONNX Tensor.astype vs missing StableCascadeUNet attribute." + }, + { + "left": "issue:3382", + "right": "issue:3565", + "accept": false, + "reason": "Both mention CUDA OOM in text-to-image training, but they are not the same concrete failure path." + }, + { + "left": "issue:4736", + "right": "issue:7114", + "accept": false, + "reason": "Related SDXL OOM theme, but one also has invalid cast issues and they are separate reports." + }, + { + "left": "issue:10839", + "right": "issue:9548", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA complaints, but the titles indicate different symptoms and no clear identical bug." + }, + { + "left": "issue:11045", + "right": "issue:9227", + "accept": false, + "reason": "Different Flux Dreambooth LoRA reports with different models/symptoms; not enough to treat as the same bug." + }, + { + "left": "issue:4868", + "right": "issue:9901", + "accept": false, + "reason": "Different attribute/type errors with no shared code-path evidence." + }, + { + "left": "issue:5016", + "right": "issue:9393", + "accept": false, + "reason": "Different training problems: text_encoder training failure vs model save failure in deepspeed Flux training." + }, + { + "left": "issue:4137", + "right": "issue:7432", + "accept": false, + "reason": "Both compare diffusers to WebUI, but they are broad result-difference complaints, not the same bug." + }, + { + "left": "issue:7516", + "right": "issue:858", + "accept": false, + "reason": "Different missing attribute errors in different subsystems." + }, + { + "left": "issue:1976", + "right": "issue:5259", + "accept": false, + "reason": "Different file/path resolution problems: tokenizer/config.json vs model_index.json." + }, + { + "left": "issue:4492", + "right": "issue:6142", + "accept": false, + "reason": "Different NameError causes; one is lowercase false, the other is undefined start_training." + }, + { + "left": "issue:12492", + "right": "issue:7681", + "accept": false, + "reason": "Different failures: missing CLIPFeatureExtractor vs import failure due to an OpenSSL/lib issue." + }, + { + "left": "issue:11581", + "right": "issue:12436", + "accept": false, + "reason": "Both are constructor-argument incompatibilities, but for different classes and different kwargs." + }, + { + "left": "issue:1988", + "right": "issue:5805", + "accept": false, + "reason": "Same broad dtype mismatch theme, but not the same model/training path or concrete bug." + }, + { + "left": "issue:2044", + "right": "issue:6044", + "accept": false, + "reason": "Different attribute errors in different parts of the pipeline/runtime." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge judgments are conservative. The two accepted pairs are plausible duplicates from the titles, while the rejected pairs are appropriately cautious rather than overstated. Canonical choice #1246 is also well supported by age/activity and the exact FP16 wording match with #6098." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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: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:6028", + "issue:6324", + "issue:6371", + "issue:646", + "issue:7114", + "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: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", + "issue:6028|issue:7114" + ], + "prepared_review_unit_hash": "b36d41ed75d9e31e7385b0c50d20c313cf8f5c1b4395c34826aff3f12a5e64e1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34464, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of diffusers bug reports: many missing-attribute/import failures, plus a few training/runtime regression reports. Only a few pairs are true duplicates; most are merely similar symptoms in different code paths.", + "confidence": 0.78, + "canonical_issue_reason": "issue:10062 is the most representative open bug: a concrete core-model attribute error tied to LoRA/PEFT, which matches the cluster\u2019s recurring missing-attribute theme better than the more niche or version-specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10062 is the best single issue to keep as the cluster representative because it is specific enough to be actionable yet broad enough to stand in for the repeated attribute-missing failures in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3026", + "right": "issue:7728", + "accept": false, + "reason": "Both are training-related errors, but they affect different examples and failure modes; not the same underlying bug." + }, + { + "left": "issue:4104", + "right": "issue:8759", + "accept": true, + "reason": "Same SD3 image-postprocessing symptom: black/invalid cast output and the same runtime warning in the image processor code path." + }, + { + "left": "issue:10062", + "right": "issue:1544", + "accept": false, + "reason": "Both are AttributeErrors, but on different objects and methods; no clear shared code-path bug." + }, + { + "left": "issue:646", + "right": "issue:8320", + "accept": false, + "reason": "These are unrelated attribute errors on different components; same broad pattern only." + }, + { + "left": "issue:4086", + "right": "issue:4724", + "accept": false, + "reason": "Both mention SDXL/control-related problems, but they are different pipelines and different failure descriptions." + }, + { + "left": "issue:3489", + "right": "issue:6324", + "accept": false, + "reason": "Different errors in different components; only generic runtime failure similarity." + }, + { + "left": "issue:1925", + "right": "issue:234", + "accept": false, + "reason": "Both mention half precision, but they are different reports and not clearly the same concrete bug." + }, + { + "left": "issue:1260", + "right": "issue:8975", + "accept": false, + "reason": "Different import failures for different symbols; same general import-error class only." + }, + { + "left": "issue:10500", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-mismatch errors, but they occur in different pipelines and setups." + }, + { + "left": "issue:2556", + "right": "issue:4282", + "accept": true, + "reason": "Identical feature request title and same underlying change request: adding Multi-ControlNet support." + }, + { + "left": "issue:4224", + "right": "issue:5518", + "accept": false, + "reason": "Both are attribute errors involving models, but they concern different subsystems and different missing members." + }, + { + "left": "issue:9527", + "right": "issue:9630", + "accept": false, + "reason": "Both are Flux/controlnet training issues, but one is a dtype mismatch and the other is a single-layer/GPU configuration problem." + }, + { + "left": "issue:1255", + "right": "issue:4265", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes and different missing names." + }, + { + "left": "issue:1377", + "right": "issue:3140", + "accept": false, + "reason": "Both are ImportErrors, but one is from transformers and the other is from diffusers; different missing symbols." + }, + { + "left": "issue:3202", + "right": "issue:7516", + "accept": false, + "reason": "Different attribute/module errors in different code paths; not the same bug." + }, + { + "left": "issue:10591", + "right": "issue:8887", + "accept": false, + "reason": "Both concern SD3 training scripts, but the titles point to different concrete problems; too little evidence they are the same bug." + }, + { + "left": "issue:13087", + "right": "issue:4265", + "accept": false, + "reason": "Different missing pipeline names and different models; same import-error theme only." + }, + { + "left": "issue:2947", + "right": "issue:3489", + "accept": false, + "reason": "Different missing-attribute failures in different components (UNet vs ONNX runtime model)." + }, + { + "left": "issue:10154", + "right": "issue:1709", + "accept": false, + "reason": "Both mention attribute-style errors during loading/conversion, but the objects and failing methods differ." + }, + { + "left": "issue:6371", + "right": "issue:7276", + "accept": false, + "reason": "An assertion failure in a ControlNet-XS example is not the same as a DreamBooth network-fetch issue." + }, + { + "left": "issue:7681", + "right": "issue:8537", + "accept": false, + "reason": "These are environment/import failures with different root causes and different missing capabilities." + }, + { + "left": "issue:7574", + "right": "issue:9505", + "accept": true, + "reason": "Same KeyError on 'middle_block_out.0.weight' with the same upscaling-related failure mode." + }, + { + "left": "issue:1249", + "right": "issue:9111", + "accept": false, + "reason": "Different failures on different objects; one is a NumPy device attribute error, the other a 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." + }, + { + "left": "issue:6028", + "right": "issue:7114", + "accept": false, + "reason": "Both are OOM reports, but on different models/scripts and not the same concrete issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays appropriately conservative. The representative issue choice is defensible given the cluster\u2019s broad mix of missing-attribute/import/runtime reports, and the accepted soft edges are well supported by the titles (notably the duplicate Multi-ControlNet requests, the shared SD3 image_processor warning/black-output pair, and the identical middle_block_out.0.weight KeyError pair). The rejected pairs are also phrased cautiously without overstating equivalence." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10472", + "issue:10594", + "issue:11199", + "issue:11436", + "issue:11581", + "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:6044", + "issue:6252", + "issue:6298", + "issue:6415", + "issue:6517", + "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: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:10472|issue:11581", + "issue:11436|issue:851", + "issue:4724|issue:7708", + "issue:6044|issue:8863" + ], + "prepared_review_unit_hash": "18e437a9e1d73e80ccbe37cc0c48d6b38b49cadebe656b60ee4ed49ef4213a22", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34548, + "estimated_input_tokens": 8637, + "estimated_eval_tokens": 17530 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous, but there are two clear duplicate pairs: the LoRA checkpoint-loading reports and the DreamBooth LoRA SDXL checkpoint-resume reports. The rest only share broad themes like import errors, dtype mismatches, or checkpoint handling and should stay separate.", + "confidence": 0.74, + "canonical_issue_reason": "issue:12689 is the clearest representative for the LoRA checkpoint-loading bug: it is concise, specific, and has an exact duplicate in issue:6252.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12689 is the strongest global issue candidate because it cleanly captures a concrete, recurring bug with an exact duplicate and a clear symptom statement.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7228", + "right": "issue:858", + "accept": false, + "reason": "Both are generic attribute errors, but they affect different objects and code paths; not the same underlying bug." + }, + { + "left": "issue:7311", + "right": "issue:8659", + "accept": false, + "reason": "Both mention checkpoint/resume, but one is about saving at checkpoint and the other about resuming/loading for inference; too broad to merge as the same bug without stronger evidence." + }, + { + "left": "issue:6415", + "right": "issue:7766", + "accept": false, + "reason": "Both are IP-Adapter FaceID-related, but one is a support/availability complaint and the other is a usage question; not duplicate bug reports." + }, + { + "left": "issue:3211", + "right": "issue:4409", + "accept": false, + "reason": "Different missing attributes on different pipeline/model objects; same symptom class, but not the same concrete defect." + }, + { + "left": "issue:5757", + "right": "issue:5840", + "accept": true, + "reason": "Same script, same resume-from-checkpoint problem, and near-identical titles; these look like the same underlying bug." + }, + { + "left": "issue:1263", + "right": "issue:1315", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols from different modules; likely separate compatibility issues." + }, + { + "left": "issue:4118", + "right": "issue:8537", + "accept": false, + "reason": "Both are from single-file/model-loading workflows, but the missing attributes differ completely; not the same bug." + }, + { + "left": "issue:3489", + "right": "issue:4557", + "accept": false, + "reason": "Different failure modes in ONNX/pipeline code; the shared shape is only a generic AttributeError." + }, + { + "left": "issue:10594", + "right": "issue:12459", + "accept": false, + "reason": "One is a multiple-controls-with-LoRA issue, the other is batch inference throughput; not the same bug." + }, + { + "left": "issue:12826", + "right": "issue:5603", + "accept": false, + "reason": "Both are import-name errors, but they refer to different exports and likely different version skew cases." + }, + { + "left": "issue:1875", + "right": "issue:1988", + "accept": false, + "reason": "Both are fp16/bf16 dtype problems, but they occur in different training examples and error contexts." + }, + { + "left": "issue:13300", + "right": "issue:993", + "accept": false, + "reason": "Both involve precision/device mismatch, but one is CPU generation on modern models and the other is an fp16 stable-diffusion mismatch; not the same bug." + }, + { + "left": "issue:1264", + "right": "issue:3648", + "accept": false, + "reason": "No real overlap beyond stable-diffusion training references; one is about a hard-coded scheduler checkpoint, the other about VRAM requirements." + }, + { + "left": "issue:6298", + "right": "issue:9780", + "accept": false, + "reason": "Different missing attributes in different pipelines/models; not the same concrete code path." + }, + { + "left": "issue:12689", + "right": "issue:6252", + "accept": true, + "reason": "These are essentially the same bug: LoRA weights/adapters not being loaded from checkpoints, with near-identical titles." + }, + { + "left": "issue:5246", + "right": "issue:8537", + "accept": false, + "reason": "Different missing symbol vs torch-version error; both import/model-compatibility issues but not the same defect." + }, + { + "left": "issue:1544", + "right": "issue:9111", + "accept": false, + "reason": "Different missing attributes in unrelated model classes; not a duplicate." + }, + { + "left": "issue:11199", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but one is about onnx_utils specifically and the other about a ControlNet SDXL import traceback; too different." + }, + { + "left": "issue:9630", + "right": "issue:9911", + "accept": false, + "reason": "Both are FLUX multi-GPU/controlnet-related, but one is a num_single_layers setting error and the other is a two-ControlNet layer-length mismatch; separate bugs." + }, + { + "left": "issue:1925", + "right": "issue:4724", + "accept": false, + "reason": "Different SDXL/inpainting pipeline issues; the shared theme is only that a pipeline behaves incorrectly." + }, + { + "left": "issue:1315", + "right": "issue:1377", + "accept": false, + "reason": "Both are import errors, but they concern different missing names from different packages and are not the same fix." + }, + { + "left": "issue:10472", + "right": "issue:11581", + "accept": false, + "reason": "Different adapter/component errors: one is LoRA bias arg handling, the other is IP Adapter dtype handling; not the same bug." + }, + { + "left": "issue:11436", + "right": "issue:851", + "accept": false, + "reason": "Both are dtype mismatches, but the models, symptoms, and likely fixes differ." + }, + { + "left": "issue:4724", + "right": "issue:7708", + "accept": false, + "reason": "Both concern SDXL pipeline setup, but one is about expected behavior and the other about a missing tokenizer file; not the same issue." + }, + { + "left": "issue:6044", + "right": "issue:8863", + "accept": false, + "reason": "Different missing-attribute failures in different pipelines; no evidence they share a single root cause." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The two accepted soft pairs are well-supported by near-identical titles and the same checkpoint/resume or LoRA-loading failure mode. The rejected pairs are also phrased cautiously, avoiding overclaiming duplicates from only broad symptom 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": 28, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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-50-3013", + "nodes": [ + "issue:10436", + "issue:10612", + "issue:10933", + "issue:10989", + "issue:11062", + "issue:11178", + "issue:11209", + "issue:11224", + "issue:1260", + "issue:1263", + "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:4728", + "issue:4779", + "issue:4945", + "issue:5455", + "issue:5630", + "issue:5689", + "issue:6149", + "issue:6636", + "issue:7114", + "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:4728|issue:7114", + "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" + ], + "prepared_review_unit_hash": "df5c3c4fb92ea3d48294abc11942a661c60b835b7b2bc73b89ba09ab59c520ab", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34391, + "estimated_input_tokens": 8598, + "estimated_eval_tokens": 17452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of model-loading/support issues, with a small number of clear duplicates inside narrower subtopics (LoRA loading, scheduler-name questions, T2I-Adapter support, and ControlNet from_single_file loading).", + "confidence": 0.86, + "canonical_issue_reason": "issue:11209 is the best canonical issue for the LoRA-loading subgroup: it is generic, open, and has a near-identical twin in issue:11224.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11209 is the strongest global issue representative among these items, but only for the LoRA-loading slice of the cluster; the overall set is too mixed to support one broad canonical issue perfectly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10436", + "right": "issue:1925", + "accept": false, + "reason": "Both mention inpainting, but one is a model-loading failure and the other is a half-precision runtime issue on a different model/version." + }, + { + "left": "issue:10933", + "right": "issue:6149", + "accept": false, + "reason": "Both are IP-Adapter load errors, but they target different adapter/model variants and do not look like the same concrete bug." + }, + { + "left": "issue:1260", + "right": "issue:6636", + "accept": false, + "reason": "Different import symbols and different API breakages; same general category, not the same bug." + }, + { + "left": "issue:1263", + "right": "issue:1495", + "accept": false, + "reason": "Both are import errors, but for unrelated symbols and modules." + }, + { + "left": "issue:2904", + "right": "issue:7228", + "accept": false, + "reason": "Unrelated failures: AudioLDM scheduler initialization vs traced StableDiffusionPipeline missing dtype." + }, + { + "left": "issue:4094", + "right": "issue:4945", + "accept": false, + "reason": "One asks for a training script, the other asks for tests for training; related area but not the same change." + }, + { + "left": "issue:4728", + "right": "issue:7114", + "accept": false, + "reason": "Both involve OOM during training, but on different scripts and contexts, so not the same underlying issue." + }, + { + "left": "issue:7593", + "right": "issue:858", + "accept": false, + "reason": "Different attribute errors in different code paths; only superficial 'bug' similarity." + }, + { + "left": "issue:11209", + "right": "issue:11224", + "accept": true, + "reason": "Near-identical titles and very high textual overlap; both are generic 'Error in loading Lora' reports." + }, + { + "left": "issue:13429", + "right": "issue:13430", + "accept": true, + "reason": "Same JoyAI-Image-Edit support request, phrased as 'add' vs 'support'." + }, + { + "left": "issue:11062", + "right": "issue:11209", + "accept": false, + "reason": "Both are LoRA loading problems, but 11062 is a specific CivitAI LoRA load error and not clearly the same bug as the generic loading failure." + }, + { + "left": "issue:11062", + "right": "issue:11224", + "accept": false, + "reason": "Same reason as 11062 vs 11209: similar area, but not enough evidence of the same concrete failure." + }, + { + "left": "issue:9500", + "right": "issue:9501", + "accept": false, + "reason": "Both concern Flux DreamBooth saving, but one is a checkpoint failure and the other is a long save delay; likely distinct symptoms." + }, + { + "left": "issue:5455", + "right": "issue:7513", + "accept": false, + "reason": "Both mention DreamBooth/LoRA training problems, but the titles point to different workflows and failure modes." + }, + { + "left": "issue:3728", + "right": "issue:3788", + "accept": false, + "reason": "Separate new-pipeline requests for different models; same broad theme, not the same change." + }, + { + "left": "issue:9161", + "right": "issue:9163", + "accept": false, + "reason": "Same script area, but one is distributed bugs and the other is tensor bugs; too vague to merge as one issue." + }, + { + "left": "issue:2830", + "right": "issue:4779", + "accept": false, + "reason": "Both are about video generation on ModelScope, but one is a question and the other a pipeline request; not clearly the same request." + }, + { + "left": "issue:1962", + "right": "issue:2984", + "accept": false, + "reason": "Different video-generation topics and different model families." + }, + { + "left": "issue:10612", + "right": "issue:10989", + "accept": false, + "reason": "Both involve LoRA loading with quantization, but one is Flux Fill and the other is Flux ControlNet; related bug class, not the same concrete code path." + }, + { + "left": "issue:5630", + "right": "issue:5689", + "accept": false, + "reason": "Both report residual noise in SDXL, but they refer to different schedulers and scenarios." + }, + { + "left": "issue:2838", + "right": "issue:4241", + "accept": false, + "reason": "Both are about control/T2I-adapter style support, but one is a ControlNet pipeline question and the other is fine-tuning unidiffusers with LoRA." + }, + { + "left": "issue:2390", + "right": "issue:2437", + "accept": true, + "reason": "Both are the same T2I-Adapter feature request, one phrased as support and the other as adding the pipeline." + }, + { + "left": "issue:9497", + "right": "issue:9500", + "accept": false, + "reason": "Both are Flux DreamBooth training issues, but one is a matrix-shape runtime error and the other is checkpoint saving failure." + }, + { + "left": "issue:2635", + "right": "issue:2676", + "accept": true, + "reason": "Same underlying scheduler-name mapping question for DPM++ Karras variants." + }, + { + "left": "issue:11178", + "right": "issue:9208", + "accept": true, + "reason": "Same from_single_file ControlNet loading problem; 11178 is a concrete instance of the broader 9208 issue." + }, + { + "left": "issue:3432", + "right": "issue:3453", + "accept": false, + "reason": "Both are precision/runtime errors in examples, but on different ops, dtypes, and scripts." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: it correctly treats the cluster as mixed and only elevates clearly duplicated subtopics where the textual overlap is strong. The accepted soft-edge pairs are conservative enough, and the rejected pairs avoid overclaiming sameness from broad topical similarity alone. No PR-pair 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": 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-50-3013", + "nodes": [ + "issue:10144", + "issue:10343", + "issue:11062", + "issue:11209", + "issue:11224", + "issue:11286", + "issue:11374", + "issue:11569", + "issue:11657", + "issue:12047", + "issue:12052", + "issue:12458", + "issue:12459", + "issue:12499", + "issue:12896", + "issue:13311", + "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:12499|issue:12896", + "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" + ], + "prepared_review_unit_hash": "89cc845ffdb129dfe49ad785f6410e104a612028193b9f84bdca2ef65539bb8c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33415, + "estimated_input_tokens": 8354, + "estimated_eval_tokens": 16964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: many feature requests and unrelated model-specific bugs. The clearest duplicate pocket is the LoRA-loading reports (11209/11224/11286), with a likely duplicate pair for Flux Dreambooth training (9237/9497).", + "confidence": 0.74, + "canonical_issue_reason": "issue:11224 is the strongest representative of the LoRA-loading duplicate set: it has the same generic failure title as 11209/11286 and the most discussion activity among them.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the best consolidation target for the only clearly duplicated issue family in this batch.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12499", + "right": "issue:12896", + "accept": false, + "reason": "Same Wan 2.2 I2V area, but one is a condition-shape mismatch and the other is an MPS-specific device/backend failure; not the same concrete bug." + }, + { + "left": "issue:12458", + "right": "issue:12459", + "accept": false, + "reason": "Both mention batch inference, but they are for different models/pipelines and one is a throughput request while the other is an issue report." + }, + { + "left": "issue:3284", + "right": "issue:3363", + "accept": true, + "reason": "Both report train_dreambooth_lora.py failing, with very similar wording and no sign of different code paths; plausible duplicate." + }, + { + "left": "issue:11209", + "right": "issue:11286", + "accept": true, + "reason": "Near-identical LoRA loading failure wording in the same subsystem; likely the same underlying bug." + }, + { + "left": "issue:11224", + "right": "issue:11286", + "accept": true, + "reason": "Near-identical LoRA loading failure wording in the same subsystem; likely the same underlying bug." + }, + { + "left": "issue:3094", + "right": "issue:3451", + "accept": false, + "reason": "Both are training-memory related, but one is an OOM during finetuning and the other is an fp16-vs-fp32 memory regression; different bugs." + }, + { + "left": "issue:1962", + "right": "issue:5889", + "accept": false, + "reason": "One is a generic request for video generation with Stable Diffusion, the other is about Stable Video Diffusion specifically; not the same issue." + }, + { + "left": "issue:4680", + "right": "issue:5594", + "accept": false, + "reason": "Both touch SDXL fine-tuning, but one asks about inpainting support and the other about LoRA memory usage; different requests." + }, + { + "left": "issue:6584", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-to-Diffusers problems, but they involve different source models and no shared concrete failure is evident." + }, + { + "left": "issue:9042", + "right": "issue:9148", + "accept": false, + "reason": "Related Flux feature requests, but one is the base pipeline and the other is inpainting support; not the same change." + }, + { + "left": "issue:12047", + "right": "issue:12052", + "accept": false, + "reason": "Both involve Wan 2.2 and LightX2V, but one is LoRA fusion on GGUF and the other is an offloading device-mismatch bug; different code paths." + }, + { + "left": "issue:3884", + "right": "issue:7330", + "accept": false, + "reason": "Same training script, but the failure descriptions are too generic vs. a specific FP16 unscale error; not enough evidence of the same bug." + }, + { + "left": "issue:4708", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but the concrete missing symbol/module failure is different and not clearly the same root cause." + }, + { + "left": "issue:4708", + "right": "issue:6636", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but they point to different missing names and could be separate regressions." + }, + { + "left": "issue:2462", + "right": "issue:2838", + "accept": false, + "reason": "Different feature requests in different areas; only loosely related by training/pipeline support." + }, + { + "left": "issue:2941", + "right": "issue:3061", + "accept": false, + "reason": "Both concern Stable Diffusion outputs, but one is scheduler-specific undesired results and the other is general reproducibility; not the same bug." + }, + { + "left": "issue:5118", + "right": "issue:9551", + "accept": false, + "reason": "Both mention ControlNet, but one is about reference_only usage and the other about Flux ControlNet models; different tasks." + }, + { + "left": "issue:11374", + "right": "issue:11569", + "accept": false, + "reason": "Both are model-support feature requests, but for different models and different integration work." + }, + { + "left": "issue:10144", + "right": "issue:6418", + "accept": false, + "reason": "Both are video-quality complaints, but they involve different models and different symptoms; not the same underlying issue." + }, + { + "left": "issue:11062", + "right": "issue:11286", + "accept": false, + "reason": "Both are LoRA-loading problems, but 11062 is specific to a particular CivitAI LoRA while 11286 is a generic loading error; not enough to treat as the same bug." + }, + { + "left": "issue:10343", + "right": "issue:9692", + "accept": false, + "reason": "Same CogView3-Plus family, but one is a black-image/cast warning and the other is a startup error; different failures." + }, + { + "left": "issue:197", + "right": "issue:199", + "accept": false, + "reason": "Both are dead-code cleanup items, but they target different modules and are not the same change." + }, + { + "left": "issue:9237", + "right": "issue:9497", + "accept": true, + "reason": "Both are Flux Dreambooth/LoRA training problems, and 9497 looks like a concrete runtime manifestation of the broader training issue in 9237." + }, + { + "left": "issue:5633", + "right": "issue:7418", + "accept": false, + "reason": "Different files and different bug reports; no evidence they are the same defect." + }, + { + "left": "issue:11657", + "right": "issue:13311", + "accept": false, + "reason": "Both mention missing LoRA keys with prefix='transformer', but they affect different model families and likely different loaders." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the LoRA-loading trio is the strongest duplicate pocket, and the 9237/9497 Flux Dreambooth pair is plausibly related. The non-duplicate calls are generally conservative and supported by the differing titles/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-50-3013", + "nodes": [ + "issue:10226", + "issue:10282", + "issue:10749", + "issue:10848", + "issue:10869", + "issue:10872", + "issue:10958", + "issue:11315", + "issue:11824", + "issue:11839", + "issue:11865", + "issue:1214", + "issue:12216", + "issue:12645", + "issue:12653", + "issue:1925", + "issue:2830", + "issue:2966", + "issue:3019", + "issue:3026", + "issue:3420", + "issue:3774", + "issue:3885", + "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:1214|issue:1925", + "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" + ], + "prepared_review_unit_hash": "c8d315b9364c00ee5b1089325b80a4be00eeeeb25158216210e1892d3cc59ae0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33858, + "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 mostly a grab bag of unrelated issues across different pipelines/models. The only clear duplicate-looking pair is the rope float64 MPS regression. No PRs are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:9237 is the best representative anchor because it is the broadest FLUX dreambooth/LoRA training thread and has the strongest follow-up activity among the Flux-training issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9237 is the most useful global issue to keep as the canonical reference for the recurring Flux dreambooth/LoRA reports; it is broad, central, and has the most discussion/inbound references in that subtopic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1214", + "right": "issue:1925", + "accept": false, + "reason": "Both mention half-precision, but one is CLIPTextModel-specific and the other is SD2 inpainting; too broad to treat as the same bug." + }, + { + "left": "issue:11315", + "right": "issue:12653", + "accept": true, + "reason": "Both describe the same rope implementation float64 regression breaking MPS/NPU; same underlying bug and likely one fix." + }, + { + "left": "issue:4708", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they point to different symbols/modules and do not clearly share the same root cause." + }, + { + "left": "issue:7168", + "right": "issue:7306", + "accept": false, + "reason": "Different problems: IP-Adapter image-embed shape handling versus float16 support in LEditsPPPipelineStableDiffusionXL." + }, + { + "left": "issue:2966", + "right": "issue:3026", + "accept": false, + "reason": "Same script family, but one is multi-GPU training and the other is a single-GPU accelerate launch failure; not enough evidence of the same concrete bug." + }, + { + "left": "issue:7621", + "right": "issue:8359", + "accept": false, + "reason": "Different features: cosxl_edit pipeline compatibility versus from_single_file with custom checkpoints." + }, + { + "left": "issue:4736", + "right": "issue:4872", + "accept": false, + "reason": "Both mention SDXL finetuning OOM, but one also has an invalid-cast error and they do not look like the same specific failure." + }, + { + "left": "issue:10749", + "right": "issue:10872", + "accept": false, + "reason": "Both are feature requests for new loading support, but they target different models and formats." + }, + { + "left": "issue:7263", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter, but the failures are different: attention slicing versus a tuple/shape error in ControlNet inpaint." + }, + { + "left": "issue:5226", + "right": "issue:5227", + "accept": false, + "reason": "Both concern LoRA loading, but one is AdapterPipeline compatibility and the other is torch.compile interaction; different code paths." + }, + { + "left": "issue:3420", + "right": "issue:4520", + "accept": false, + "reason": "Different subsystems and symptoms: ControlNet/Diffusion pipeline mismatch versus LoRA scale with attention slicing." + }, + { + "left": "issue:7513", + "right": "issue:9237", + "accept": false, + "reason": "Both are Dreambooth/LoRA training reports, but one is SDXL on a 3060 and the other is FLUX training; not the same bug." + }, + { + "left": "issue:10226", + "right": "issue:9857", + "accept": false, + "reason": "Both are Flux tensor-shape failures, but one is Dreambooth LoRA training and the other is ControlNet embedding mismatch; too different to merge." + }, + { + "left": "issue:11824", + "right": "issue:11839", + "accept": false, + "reason": "Same pipeline family, but one is multi-image input handling and the other is GGUF loading with invalid input size; not clearly the same defect." + }, + { + "left": "issue:10848", + "right": "issue:9026", + "accept": false, + "reason": "Both are unexpected-kwarg errors, but they occur in different loader functions with different arguments and likely different fixes." + }, + { + "left": "issue:4733", + "right": "issue:5757", + "accept": false, + "reason": "Both are checkpoint-resume issues, but they are on different training scripts and the reports do not show the same underlying failure." + }, + { + "left": "issue:10869", + "right": "issue:10958", + "accept": false, + "reason": "Both are meta-tensor errors, but one is Tensor.item() and the other is copy-out; similar class of symptom, not the same concrete bug." + }, + { + "left": "issue:7492", + "right": "issue:8939", + "accept": false, + "reason": "Both are loading failures, but one is a missing repository and the other is a tokenizer load error for a different model." + }, + { + "left": "issue:12216", + "right": "issue:12645", + "accept": false, + "reason": "Same model family, but one is quality comparison and the other is speed comparison; not the same issue." + }, + { + "left": "issue:3774", + "right": "issue:3885", + "accept": false, + "reason": "Both concern VRAM/memory in train_text_to_image.py, but one is zero3 not saving memory and the other is a general VRAM reduction question." + }, + { + "left": "issue:11865", + "right": "issue:9141", + "accept": false, + "reason": "Both mention missing from_single_file support, but they target different model classes and different user requests." + }, + { + "left": "issue:2830", + "right": "issue:3019", + "accept": false, + "reason": "Image-to-video/modelscope question versus segment-anything for text-guided editing; unrelated." + }, + { + "left": "issue:10282", + "right": "issue:11839", + "accept": false, + "reason": "Both involve shape/input-size mismatch, but one is a Flux x_embedder weight shape issue and the other is GGUF load input-size validation; different failures." + }, + { + "left": "issue:9497", + "right": "issue:9548", + "accept": false, + "reason": "Both are Flux Dreambooth/LoRA training reports, but one is a mat2 dimensionality error and the other is a follow-up on the earlier Flux issue; not the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: issue:9237 is a reasonable canonical anchor for the Flux dreambooth/LoRA cluster, the rope float64 MPS pair is the only clearly duplicate-looking one, and the note that no PRs are present is supported. The soft-edge verdicts are generally conservative and do not overstate duplicate 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": 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-50-3013", + "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:3289", + "issue:3391", + "issue:3728", + "issue:3788", + "issue:3826", + "issue:4185", + "issue:4213", + "issue:4398", + "issue:4733", + "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:4185|issue:4398", + "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" + ], + "prepared_review_unit_hash": "4a9321ff7cf7fd748e76f181fc590f2669c771739f70523e759d5abf66c8e845", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "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 set is mostly a mix of unrelated issues, with a few clear duplicate-style pairs around the same concrete bug (resume-from-checkpoint progress handling, Stable Cascade resolution failures, and some model-loading errors). I did not find a single global canonical issue/PR for the whole cluster.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4185", + "right": "issue:4398", + "accept": false, + "reason": "Both mention black images, but they involve different pipelines and likely different root causes." + }, + { + "left": "issue:2636", + "right": "issue:5005", + "accept": true, + "reason": "Same resume-from-checkpoint progress-bar/skip-step bug in training scripts." + }, + { + "left": "issue:8723", + "right": "issue:9012", + "accept": true, + "reason": "Both target SD3ControlNetModel.from_transformer loading/initialization failures on the same code path." + }, + { + "left": "issue:6274", + "right": "issue:6275", + "accept": false, + "reason": "Both are T2I-Adapter issues, but one is about multiple adapters and the other about model coverage." + }, + { + "left": "issue:11464", + "right": "issue:12459", + "accept": false, + "reason": "Different FLUX problems: model loading vs batch inference throughput." + }, + { + "left": "issue:10937", + "right": "issue:11864", + "accept": false, + "reason": "Both are torch.compile encode failures, but they affect different models and error modes." + }, + { + "left": "issue:6277", + "right": "issue:6363", + "accept": true, + "reason": "Same train_text_to_image_lora.py gradient/unscale failure reported at different specificity levels." + }, + { + "left": "issue:3728", + "right": "issue:9873", + "accept": false, + "reason": "Both are new pipeline requests, but for completely different models." + }, + { + "left": "issue:9343", + "right": "issue:9667", + "accept": false, + "reason": "Different FLUX load-time issues with different flags and failure contexts." + }, + { + "left": "issue:7142", + "right": "issue:7432", + "accept": false, + "reason": "Both compare diffusers to WebUI, but the model/context differ and the reports are too broad to treat as the same bug." + }, + { + "left": "issue:7355", + "right": "issue:7644", + "accept": true, + "reason": "Same Stable Cascade resolution-handling failure with arbitrary / non-power-of-two sizes." + }, + { + "left": "issue:3788", + "right": "issue:9873", + "accept": false, + "reason": "Different new pipeline proposals with no shared concrete bug or feature." + }, + { + "left": "issue:9115", + "right": "issue:9187", + "accept": false, + "reason": "Different adapter integrations and different failure modes." + }, + { + "left": "issue:2052", + "right": "issue:4733", + "accept": false, + "reason": "Both involve checkpoint resume, but they are different training scripts and errors." + }, + { + "left": "issue:3289", + "right": "issue:3391", + "accept": false, + "reason": "Same DeepFloyd area, but the bugs are different symptoms and likely different causes." + }, + { + "left": "issue:11630", + "right": "issue:11674", + "accept": false, + "reason": "Same Wan VACE family, but one is single-file support and the other is ref-image/multi-control-video support." + }, + { + "left": "issue:2244", + "right": "issue:2250", + "accept": false, + "reason": "Both are DreamBooth inference issues, but the failures are unrelated." + }, + { + "left": "issue:9343", + "right": "issue:9914", + "accept": false, + "reason": "Both concern FLUX loading, but one is a mismatched-size/load flag issue and the other is LoRA loading with Xlabs." + }, + { + "left": "issue:7057", + "right": "issue:771", + "accept": false, + "reason": "Both are checkpoint or precision-related, but the actual models and failure paths differ." + }, + { + "left": "issue:6201", + "right": "issue:8645", + "accept": false, + "reason": "Different code paths entirely: prompt embedding handling vs missing single_file_utils helper." + }, + { + "left": "issue:2089", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM training reports, but on different models and scenarios." + }, + { + "left": "issue:3788", + "right": "issue:3826", + "accept": false, + "reason": "Both are new pipeline requests, but they are unrelated models/features." + }, + { + "left": "issue:5412", + "right": "issue:5840", + "accept": true, + "reason": "Same train_dreambooth_lora_sdxl.py checkpoint-resume failure." + }, + { + "left": "issue:4213", + "right": "issue:5226", + "accept": false, + "reason": "Different SDXL loading features and different failures." + }, + { + "left": "issue:12009", + "right": "issue:12047", + "accept": false, + "reason": "Same model family, but one is single-file loading and the other is LoRA fusion on GGUF; not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet, and the soft-edge decisions are conservative overall. The accepted pairs are plausible duplicates or near-duplicates based on the titles, while the rejected pairs are appropriately cautious and do not overstate identity across different models, scripts, or failure modes. No canonical issue/PR is asserted without support, and the summary does not overclaim a single global bug." + }, + "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-50-3013", + "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:2883", + "issue:2891", + "issue:3008", + "issue:3094", + "issue:3184", + "issue:3569", + "issue:3631", + "issue:3639", + "issue:4000", + "issue:4580", + "issue:4779", + "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:2883|issue:4779", + "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" + ], + "prepared_review_unit_hash": "3869d19c7f88ed381f1cd72f0597f44f79c60aa0528ca70d94baf2dcb24dacca", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34770, + "estimated_input_tokens": 8693, + "estimated_eval_tokens": 17642 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous. Two pairs look like true duplicates or near-duplicates around the same code path; the rest are only loosely similar by topic and should stay separate.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2883", + "right": "issue:4779", + "accept": false, + "reason": "Both mention image-to-video, but one is a generic pipeline request and the other is a ModelScope-specific pipeline item; not the same bug/change." + }, + { + "left": "issue:10653", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized modules and device moves, but one is 8-bit to CPU and the other is moving a quantized component to CUDA; different failure paths." + }, + { + "left": "issue:10350", + "right": "issue:12082", + "accept": false, + "reason": "Both mention VAE memory, but they target different models and triggers (SD2.1 decoder vs Wan2.1 after compile)." + }, + { + "left": "issue:3569", + "right": "issue:3639", + "accept": false, + "reason": "These are separate new-pipeline requests for different features (Uni-ControlNet vs GlyphControl)." + }, + { + "left": "issue:5433", + "right": "issue:6295", + "accept": false, + "reason": "Both are about DPM++ artifacts, but the reported conditions differ enough (missing refiner vs use_lu_lambdas) that they do not clearly describe one concrete bug." + }, + { + "left": "issue:2772", + "right": "issue:7267", + "accept": true, + "reason": "Both describe the same train_controlnet.py local-dataset/local-loading problem; the titles point to the same underlying script bug." + }, + { + "left": "issue:5577", + "right": "issue:6183", + "accept": false, + "reason": "Both involve from_single_file, but they hit different model types and different errors (ControlNet key error vs SDXL shape issue)." + }, + { + "left": "issue:9501", + "right": "issue:9727", + "accept": false, + "reason": "Both are DreamBooth/FLUX save problems, but one is delayed saving and the other is a multigpu save failure; not clearly the same bug." + }, + { + "left": "issue:2089", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM reports during training, but they involve different examples and contexts; too broad to be one bug." + }, + { + "left": "issue:1495", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but for different symbols and different releases; not the same issue." + }, + { + "left": "issue:3008", + "right": "issue:3184", + "accept": true, + "reason": "Both are about lpw_stable_diffusion handling generator lists/invalid torch.randn arguments, which looks like the same concrete pipeline bug." + }, + { + "left": "issue:12195", + "right": "issue:7185", + "accept": false, + "reason": "One is a specific AutoencoderKL failure on PyTorch 2.3.1; the other is a general question about PyTorch 2.2.0 support." + }, + { + "left": "issue:5661", + "right": "issue:5917", + "accept": false, + "reason": "Both are upgrade-related errors, but they concern unrelated missing names in different code paths." + }, + { + "left": "issue:2774", + "right": "issue:4000", + "accept": false, + "reason": "Both are conversion problems, but one is ControlNet safetensors conversion and the other is SD 2.0 ckpt conversion; different tools and likely different bugs." + }, + { + "left": "issue:11948", + "right": "issue:7209", + "accept": false, + "reason": "Both concern offline loading, but one is from_pretrained for WanTransformer3DModel and the other is from_single_file with a local safetensor; different loading paths." + }, + { + "left": "issue:12458", + "right": "issue:12645", + "accept": false, + "reason": "One is a batch inference issue/feature request and the other is a speed comparison complaint; not the same bug." + }, + { + "left": "issue:3631", + "right": "issue:4580", + "accept": false, + "reason": "Different pipelines and errors: inpainting latents exception vs UniPC schedule/use_karras_sigmas exception." + }, + { + "left": "issue:5846", + "right": "issue:6073", + "accept": false, + "reason": "Both are beginner DreamBooth support reports, but they do not identify the same concrete failure." + }, + { + "left": "issue:2392", + "right": "issue:2560", + "accept": false, + "reason": "Both touch StableDiffusionImg2ImgPipeline, but one is a prompt_embeds validation error and the other is differing outputs with a generator list." + }, + { + "left": "issue:2459", + "right": "issue:771", + "accept": false, + "reason": "Unrelated training/setup failures: xformers enablement vs BF16 support." + }, + { + "left": "issue:2891", + "right": "issue:5465", + "accept": false, + "reason": "Both mention unsupported options/docs mismatches, but they are different features (embeds vs inpaint_strength) and not one bug." + }, + { + "left": "issue:10472", + "right": "issue:10848", + "accept": false, + "reason": "Both are unexpected-keyword errors, but for different arguments and loading functions; too generic to merge." + }, + { + "left": "issue:8494", + "right": "issue:852", + "accept": false, + "reason": "Different unexpected keyword arguments in different versions/code paths; not the same defect." + }, + { + "left": "issue:2294", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but they reference different missing pipeline symbols and different eras." + }, + { + "left": "issue:6183", + "right": "issue:7210", + "accept": false, + "reason": "One is a from_single_file shape issue and the other is an accelerate dispatch attribute error; unrelated failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation is grounded in the packet and stays conservative. The two accepted pairs are reasonably supported as likely duplicates/near-duplicates, and the remaining pairs are appropriately rejected for being only loosely related or clearly different failure modes. The cluster summary also matches the evidence: mostly heterogeneous with only two plausible duplicate 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": 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-50-3013", + "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:3112", + "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:5314", + "issue:5442", + "issue:5633", + "issue:579", + "issue:5931", + "issue:6574", + "issue:692", + "issue:7223", + "issue:7239", + "issue:7243", + "issue:7483", + "issue:7708", + "issue:7871", + "issue:9343", + "issue:9525", + "issue:9803", + "issue:9914", + "issue:993", + "issue:9971" + ], + "soft_pairs": [ + "issue:3112|issue:5314", + "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" + ], + "prepared_review_unit_hash": "964a7151bb94f18a804812e8aaa39c3bb98644817efdda03b912b21b9665ed7b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33985, + "estimated_input_tokens": 8497, + "estimated_eval_tokens": 17250 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated diffusers bugs/feature requests; only one soft pair looks like a true duplicate around the SDXL LoRA-to-Diffusers conversion script. The rest are too broad, different code paths, or only share a subsystem name.", + "confidence": 0.84, + "canonical_issue_reason": "issue:7483 is the better canonical issue for the accepted duplicate pair because it is more specific about the failing SDXL 1.0 base-model conversion path, while issue:4616 is broader and less explicit.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7483 is the strongest representative issue in this set: it clearly states the broken script and the SDXL 1.0 base-model condition, making it easier to anchor discussion and deduping.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3112", + "right": "issue:5314", + "accept": false, + "reason": "Both concern ControlNet/inpainting, but one is a multi-controlnet request and the other is reference inpainting; different change requests, not the same bug." + }, + { + "left": "issue:12195", + "right": "issue:12666", + "accept": false, + "reason": "Completely different problems: an AutoencoderKL custom_op compatibility error versus a missing Kandinsky video pipeline release feature." + }, + { + "left": "issue:1013", + "right": "issue:1538", + "accept": false, + "reason": "Same pipeline family, but the failures are different: one is a version-compatibility issue and the other is model-specific compatibility with stable-diffusion-2-base." + }, + { + "left": "issue:2371", + "right": "issue:2480", + "accept": false, + "reason": "Different Dreambooth output/checkpoint problems; one is about generated objects not appearing, the other about checkpoint directory layout." + }, + { + "left": "issue:4708", + "right": "issue:5025", + "accept": false, + "reason": "Both are import-related, but one is a generic diffusers.utils import error and the other is specifically missing randn_tensor; not enough evidence they share the same root cause." + }, + { + "left": "issue:9803", + "right": "issue:9914", + "accept": false, + "reason": "Both mention Flux LoRA loading, but the titles point to different failure modes and Xlabs-specific loading behavior; too broad to treat as the same concrete bug." + }, + { + "left": "issue:1181", + "right": "issue:692", + "accept": false, + "reason": "A training-from-scratch issue and a request for a fine-tuning example are not the same underlying bug or change." + }, + { + "left": "issue:4480", + "right": "issue:5931", + "accept": false, + "reason": "Different symptoms and likely different root causes: MPS kernel crash with fp16 versus nondeterministic generation." + }, + { + "left": "issue:10994", + "right": "issue:11045", + "accept": false, + "reason": "Both involve train_dreambooth_lora_flux, but one crashes with batch size > 1 during training while the other crashes when loading Flux Schnell 1; not the same code-path problem." + }, + { + "left": "issue:4566", + "right": "issue:7239", + "accept": false, + "reason": "Checkpoint resume failure and SDXL LoRA shape-mismatch error are distinct issues." + }, + { + "left": "issue:11127", + "right": "issue:9971", + "accept": false, + "reason": "Both are Flux-related, but one is a QwenImage single-file loading issue and the other is a scheduler issue; different concrete bugs." + }, + { + "left": "issue:5442", + "right": "issue:7243", + "accept": false, + "reason": "These are separate model/pipeline feature requests (ScaleCrafter vs ResAdapter), not duplicates." + }, + { + "left": "issue:4724", + "right": "issue:6574", + "accept": false, + "reason": "An SDXL img2img correctness issue and an SVD pipeline warning are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:3450", + "accept": false, + "reason": "Different loading APIs and different failure contexts; only the general theme of pipeline loading overlaps." + }, + { + "left": "issue:579", + "right": "issue:7708", + "accept": false, + "reason": "Both mention missing config.json, but they target different loading workflows and model types; not clearly the same bug." + }, + { + "left": "issue:4616", + "right": "issue:7483", + "accept": true, + "reason": "Both describe the SDXL LoRA-to-Diffusers conversion script failing for SDXL-based models; same concrete bug/change with closely matching scope." + }, + { + "left": "issue:5128", + "right": "issue:7871", + "accept": false, + "reason": "A single-file loading error and a blockwise-scale LoRA issue are different problems." + }, + { + "left": "issue:1214", + "right": "issue:5226", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior and SDXL adapter LoRA loading are unrelated." + }, + { + "left": "issue:1962", + "right": "issue:7223", + "accept": false, + "reason": "A generic video generation question and a request to add Latte are not duplicates." + }, + { + "left": "issue:4210", + "right": "issue:5633", + "accept": false, + "reason": "UNet attention_mask usage and a transformer_temporal bug are different code paths and different bugs." + }, + { + "left": "issue:9343", + "right": "issue:9525", + "accept": false, + "reason": "Both are Flux-related, but one is a loading/size mismatch error and the other is lora_scale not taking effect; different defects." + }, + { + "left": "issue:1614", + "right": "issue:993", + "accept": false, + "reason": "Both are precision-related, but black-image output on autocast and generic fp16 dtype mismatch are not the same concrete failure." + }, + { + "left": "issue:13277", + "right": "issue:13319", + "accept": false, + "reason": "Same Ulysses SP topic, but one fails with batch inputs in the pipeline while the other fails in backward pass; different bugs." + }, + { + "left": "issue:2163", + "right": "issue:3694", + "accept": false, + "reason": "UNet dtype mismatch during training and missing model/config files in the example are unrelated failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst output is grounded in the packet and stays conservative on the soft-edge pairs. The one accepted duplicate pair (issue:4616 / issue:7483) is plausibly the same SDXL LoRA conversion-script bug, and the rest are reasonably rejected as different failure modes, feature requests, or only loosely related subsystem overlaps. The summary does 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": 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-50-3013", + "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:6791", + "issue:6914", + "issue:7057", + "issue:7185", + "issue:7405", + "issue:7513", + "issue:7589", + "issue:8236", + "issue:8307", + "issue:861", + "issue:8613", + "issue:8659", + "issue:8839", + "issue:8909", + "issue:9141", + "issue:9343", + "issue:9450", + "issue:9548", + "issue:9799", + "issue:9857" + ], + "soft_pairs": [ + "issue:6791|issue:8659", + "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" + ], + "prepared_review_unit_hash": "935735cde9dff9cc7f164243105317ba0189630ce8f92a638882fd9f74a87d28", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34775, + "estimated_input_tokens": 8694, + "estimated_eval_tokens": 17644 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous: many unrelated bug reports across different models, training scripts, and loading paths. Only one clear duplicate pair stands out: 6137 and 8236, both about incorrect LR scheduler step-count calculation in multi-GPU training.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 6137 is the best canonical issue because 8236 is a near-duplicate of the same multi-GPU LR scheduler step-count bug.", + "canonical_pr_reason": null, + "best_issue_reason": "6137 is the strongest representative of the only real duplicate thread in this set; the rest of the items are too diverse to share one underlying fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6791", + "right": "issue:8659", + "accept": false, + "reason": "Both mention SDXL training, but one is a generic can't-run issue and the other is checkpoint resume/load behavior; different failures and code paths." + }, + { + "left": "issue:5963", + "right": "issue:6028", + "accept": false, + "reason": "Same model family, but one is failing when passing embeds instead of prompts and the other is a CUDA OOM; not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:4697", + "accept": false, + "reason": "Both are LoRA-loading problems, but they affect different scenarios and error conditions; not clearly the same underlying defect." + }, + { + "left": "issue:6383", + "right": "issue:7185", + "accept": false, + "reason": "A scheduler feature question and a PyTorch version-compatibility question are not duplicate bug reports." + }, + { + "left": "issue:6176", + "right": "issue:8839", + "accept": false, + "reason": "Different LoRA issues on different models/scripts; one is loading weights after DreamBooth training, the other is an SD3 LoRA weight error." + }, + { + "left": "issue:7513", + "right": "issue:9548", + "accept": false, + "reason": "Both involve FLUX/LoRA training, but the reported problems and scripts differ too much to be the same bug." + }, + { + "left": "issue:3094", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but they concern different examples and model setups; likely separate memory issues." + }, + { + "left": "issue:1214", + "right": "issue:7589", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to GLIGEN layout-to-image behavior." + }, + { + "left": "issue:9799", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the titles point to different FLUX training paths and likely different root causes." + }, + { + "left": "issue:10671", + "right": "issue:9450", + "accept": false, + "reason": "Both mention device/dtype issues, but one is DiffusionPipeline dtype/device access and the other is a multi-GPU tensor device mismatch; not the same bug." + }, + { + "left": "issue:7057", + "right": "issue:861", + "accept": false, + "reason": "A broken checkpoint load is not the same as a conversion-from-ckpt problem." + }, + { + "left": "issue:2132", + "right": "issue:6741", + "accept": false, + "reason": "Different missing-attribute errors in different scripts: Accelerator.trackers vs Namespace.no_flip." + }, + { + "left": "issue:3706", + "right": "issue:7405", + "accept": false, + "reason": "These are model announcement/new-model issues, not duplicates of the same bug or change." + }, + { + "left": "issue:4389", + "right": "issue:9343", + "accept": false, + "reason": "Both are model-loading reports, but ControlNet loading and FLUX low_cpu_mem_usage/ignore_mismatched_sizes failures are distinct." + }, + { + "left": "issue:4697", + "right": "issue:6176", + "accept": false, + "reason": "Both mention loading LoRA weights, but they are different scenarios with different symptoms and no clear shared code-path bug." + }, + { + "left": "issue:6137", + "right": "issue:8236", + "accept": true, + "reason": "These describe the same bug: LR scheduler step-count is computed incorrectly in multi-GPU training, with 8236 giving a specific num_train_epochs case of 6137." + }, + { + "left": "issue:10722", + "right": "issue:9857", + "accept": false, + "reason": "Both are shape-mismatch reports, but they affect different training setups and do not clearly share one root cause." + }, + { + "left": "issue:6415", + "right": "issue:6914", + "accept": false, + "reason": "Both involve IP-Adapter-FaceID, but one is about unsupported features and the other is an offload-related AttributeError; not the same defect." + }, + { + "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 output quality and RGBA latent handling are different pipeline bugs." + }, + { + "left": "issue:10591", + "right": "issue:11314", + "accept": false, + "reason": "Different training scripts, different models, and different reported mistakes; not a duplicate bug." + }, + { + "left": "issue:10169", + "right": "issue:1976", + "accept": false, + "reason": "Both mention config.json, but 1976 is specifically about tokenizer/config.json lookup; 10169 is too generic to confirm the same bug." + }, + { + "left": "issue:3325", + "right": "issue:3884", + "accept": false, + "reason": "Different scripts and errors: DreamBooth CUDA invalid argument vs text-to-image LoRA failure." + }, + { + "left": "issue:11417", + "right": "issue:4492", + "accept": false, + "reason": "An AttributeError on DistributedDataParallel.dtype is unrelated to a lowercase boolean NameError." + }, + { + "left": "issue:2459", + "right": "issue:7057", + "accept": false, + "reason": "xFormers attention not working in a training script is unrelated to a checkpoint load failure." + }, + { + "left": "issue:8307", + "right": "issue:9141", + "accept": false, + "reason": "Missing StableCascadeUNet API and missing FluxPipeline.from_single_file are different missing-symbol issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and suitably conservative. The summary stays within the packet evidence, and the only affirmative soft-edge pair (6137/8236) is well-supported by the closely matching LR-scheduler/multi-GPU titles. The other pairs are rejected cautiously rather than 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": 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-50-3013", + "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:3325", + "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:5934", + "issue:6444", + "issue:6794", + "issue:7133", + "issue:7681", + "issue:7728", + "issue:7757", + "issue:7854", + "issue:8414", + "issue:8500", + "issue:8534", + "issue:8557", + "issue:8614", + "issue:8708", + "issue:8833", + "issue:8939", + "issue:9421" + ], + "soft_pairs": [ + "issue:8534|issue:8708", + "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" + ], + "prepared_review_unit_hash": "df4e2576b5d9e3761534940afdb53d42c41937e94e7a389001aa04b7a4f13a9d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34171, + "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 a heterogeneous mix of unrelated issues (feature requests, model-support questions, file-loading/import errors, and distinct training/runtime bugs). I found no convincing duplicate pairs, and there are no PRs in the cluster.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the items span multiple unrelated problem types and code paths, so collapsing them into one issue would be incorrect.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10381 is the most detailed, diagnosis-rich report, so it is the best representative anchor if one must pick an issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8534", + "right": "issue:8708", + "accept": false, + "reason": "Both mention SD3 training, but one is about wrong logit-normal weighting and the other about a missing `shift_factor`; different bugs." + }, + { + "left": "issue:6444", + "right": "issue:7728", + "accept": false, + "reason": "Both involve SDXL LoRA training, but one is a `peft_config` checkpointing issue and the other is an Accelerate runtime error; not the same concrete failure." + }, + { + "left": "issue:8500", + "right": "issue:8557", + "accept": false, + "reason": "Both mention token limits, but one is a general question and the other is a training-specific SD3 report; not enough to treat as one bug." + }, + { + "left": "issue:1398", + "right": "issue:1552", + "accept": false, + "reason": "Different problems: Apple Silicon/MPS support for SD2 versus `enable_attention_slicing()` incompatibility." + }, + { + "left": "issue:3706", + "right": "issue:8414", + "accept": false, + "reason": "Both are model-related announcements, but Wuerstchen and ConsistencyTTA are different models/changes." + }, + { + "left": "issue:10381", + "right": "issue:10798", + "accept": false, + "reason": "Both are Flux quantization/LoRA reports, but they involve different backends and symptoms (`Quanto`/Zero GPU spaces vs `bitsandbytes` device-combination bug)." + }, + { + "left": "issue:1166", + "right": "issue:1475", + "accept": false, + "reason": "Textual inversion appears in both, but one is a TPU save hang and the other is a multi-class DreamBooth/textual inversion training question." + }, + { + "left": "issue:3325", + "right": "issue:4701", + "accept": false, + "reason": "Different failures: DreamBooth CUDA invalid argument versus AutoencoderKL differentiation CUDA error." + }, + { + "left": "issue:10128", + "right": "issue:2857", + "accept": false, + "reason": "These are unrelated feature requests for different models/capabilities (`fastercache` vs UniDiffuser)." + }, + { + "left": "issue:11396", + "right": "issue:4453", + "accept": false, + "reason": "Both ask about LoRA conversion, but they target different source models and output ecosystems (hidream/comfyui vs SDXL/AUTO1111)." + }, + { + "left": "issue:4648", + "right": "issue:5578", + "accept": false, + "reason": "Both are missing-file load errors, but they refer to different missing files and different loading contexts." + }, + { + "left": "issue:4708", + "right": "issue:4969", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols/modules and likely different root causes." + }, + { + "left": "issue:3764", + "right": "issue:5934", + "accept": false, + "reason": "Both mention `torch.compile`, but the reported failures are different and not clearly the same code-path bug." + }, + { + "left": "issue:10928", + "right": "issue:8939", + "accept": false, + "reason": "Different loading issues: missing `diffusion_pytorch_model.fp16.bin` versus tokenizer loading failure for SD3 medium." + }, + { + "left": "issue:6794", + "right": "issue:7681", + "accept": false, + "reason": "Both are import-time errors, but the missing symbol and dependency failure are unrelated." + }, + { + "left": "issue:8614", + "right": "issue:8833", + "accept": false, + "reason": "Both mention `config.json`, but they concern different artifacts/models and are not the same loading bug." + }, + { + "left": "issue:11117", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch runtime errors, but they affect different code paths and error conditions." + }, + { + "left": "issue:2299", + "right": "issue:4000", + "accept": false, + "reason": "One asks about fine-tuned checkpoints in Diffusers; the other is about converting an SD2 checkpoint to Diffusers format. Related topic, not the same issue." + }, + { + "left": "issue:1976", + "right": "issue:9421", + "accept": false, + "reason": "Both are model access/load errors, but they refer to different models and different missing-path situations." + }, + { + "left": "issue:2089", + "right": "issue:4736", + "accept": false, + "reason": "Both mention training and OOM, but one is DreamBooth on AltDiffusion and the other is SDXL LoRA with an additional invalid-value symptom." + }, + { + "left": "issue:1398", + "right": "issue:1614", + "accept": false, + "reason": "Different SD2/MPS versus autocast black-image behavior; not the same bug." + }, + { + "left": "issue:4566", + "right": "issue:7133", + "accept": false, + "reason": "Both are checkpoint-resume problems for SDXL LoRA, but one is a generic resume failure and the other is a text-encoder size mismatch; too different to merge." + }, + { + "left": "issue:12657", + "right": "issue:13249", + "accept": false, + "reason": "Different models and failure reports: Qwen Image Edit quantization versus Z-Image LoRA support." + }, + { + "left": "issue:4229", + "right": "issue:7757", + "accept": false, + "reason": "Both are multi-GPU training issues, but they involve different scripts and different error classes (accelerated training error vs OOM)." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "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-50-3013", + "nodes": [ + "issue:10453", + "issue:10650", + "issue:10760", + "issue:11417", + "issue:11839", + "issue:1214", + "issue:1925", + "issue:2091", + "issue:3032", + "issue:3061", + "issue:3325", + "issue:3382", + "issue:3454", + "issue:3497", + "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:5919", + "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:9497", + "issue:964", + "issue:9643", + "issue:9727", + "issue:9799" + ], + "soft_pairs": [ + "issue:3032|issue:3497", + "issue:3497|issue:5919", + "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" + ], + "prepared_review_unit_hash": "766a327c71b41c64442ec4085daf13dcfeb6314509edb5a2fd6149b59050b7b6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34384, + "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 mostly heterogeneous: many unrelated training/inference/import/runtime bug reports with only one clear duplicate-like pair around `caption_column` validation. Most soft matches are superficial (same pipeline, same framework, or same broad error class) rather than the same underlying bug.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 6821 is the clearest, older report of the `caption_column` validation failure; 7735 appears to be the same bug phrased differently.", + "canonical_pr_reason": null, + "best_issue_reason": "6821 is the strongest representative issue in the only near-duplicate pair and has the most explicit, concise failure description.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3032", + "right": "issue:3497", + "accept": false, + "reason": "Both are attribute errors on different pipeline APIs (`from_pretrained` vs `from_ckpt`); not the same bug." + }, + { + "left": "issue:3497", + "right": "issue:5919", + "accept": false, + "reason": "Different missing attributes (`from_ckpt` vs `set_lora_layer`) and different code paths." + }, + { + "left": "issue:4325", + "right": "issue:6492", + "accept": false, + "reason": "Both mention black images, but one is an SDXL runtime warning/cast issue and the other is a broad symptom report; too vague to treat as the same bug." + }, + { + "left": "issue:5811", + "right": "issue:5884", + "accept": false, + "reason": "One is about callback arguments, the other about IP-Adapter support; distinct feature changes." + }, + { + "left": "issue:3325", + "right": "issue:7619", + "accept": false, + "reason": "Both involve `train_dreambooth.py`, but the reported failures are different (`CUDA invalid argument` vs channel mismatch)." + }, + { + "left": "issue:1925", + "right": "issue:964", + "accept": false, + "reason": "Half-precision inpainting vs generic inpainting failure; not clearly the same issue." + }, + { + "left": "issue:6226", + "right": "issue:6446", + "accept": false, + "reason": "Both are loading problems, but the targets and failure modes differ substantially." + }, + { + "left": "issue:11417", + "right": "issue:6351", + "accept": false, + "reason": "Both are DDP attribute errors, but they involve different missing attributes and likely different fixes." + }, + { + "left": "issue:5314", + "right": "issue:5474", + "accept": false, + "reason": "Related ControlNet/reference themes, but one is a pipeline request and the other is a different reference-only concept." + }, + { + "left": "issue:3454", + "right": "issue:5502", + "accept": false, + "reason": "Different training scripts and different compatibility problems; not the same bug." + }, + { + "left": "issue:5465", + "right": "issue:6159", + "accept": false, + "reason": "Different pipelines and different unsupported parameters (`inpaint_strength` vs `denoising_end`)." + }, + { + "left": "issue:1214", + "right": "issue:4213", + "accept": false, + "reason": "Half-precision CLIP bug vs single-file SDXL loading without accelerate; unrelated." + }, + { + "left": "issue:6131", + "right": "issue:6561", + "accept": false, + "reason": "One is an IP-Adapter support failure, the other is a missing model file/config error." + }, + { + "left": "issue:2091", + "right": "issue:3382", + "accept": false, + "reason": "Both concern multi-GPU training, but one is checkpoint resume and the other is OOM behavior." + }, + { + "left": "issue:10453", + "right": "issue:9643", + "accept": false, + "reason": "Different model families and different limitations (`batch size > 1` vs multiple ControlNets)." + }, + { + "left": "issue:4375", + "right": "issue:6096", + "accept": false, + "reason": "Both involve `torch.compile`, but the model-specific failure modes differ; not enough to call them the same bug." + }, + { + "left": "issue:10650", + "right": "issue:11839", + "accept": false, + "reason": "Both are shape/input-size errors, but on different models and different loading paths." + }, + { + "left": "issue:2091", + "right": "issue:3774", + "accept": false, + "reason": "Different multi-GPU training issues: checkpoint resume vs zero3 memory savings." + }, + { + "left": "issue:9497", + "right": "issue:9727", + "accept": false, + "reason": "Both are Flux Dreambooth reports, but the errors are different (`mat2` shape vs save problem on multigpu)." + }, + { + "left": "issue:3061", + "right": "issue:6548", + "accept": false, + "reason": "Reproducibility issue vs RGBA/image-as-latents bug; not the same underlying defect." + }, + { + "left": "issue:6821", + "right": "issue:7735", + "accept": true, + "reason": "Near-identical `caption_column` validation failure in the training CLI; same underlying bug and likely duplicate report." + }, + { + "left": "issue:9497", + "right": "issue:9799", + "accept": false, + "reason": "Both are Flux training errors, but the tensor-shape failures are different." + }, + { + "left": "issue:5455", + "right": "issue:5897", + "accept": false, + "reason": "Both are LoRA training failures, but they are different scripts and different error types." + }, + { + "left": "issue:10760", + "right": "issue:7681", + "accept": false, + "reason": "An import/export attribute bug vs an environment/OpenSSL import failure; unrelated." + }, + { + "left": "issue:7418", + "right": "issue:7848", + "accept": false, + "reason": "Same community example file family, but one is a code bug and the other is a decoding issue; not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: it correctly identifies the only clear duplicate-like pair (6821/7735) and treats the rest conservatively as superficially similar rather than the same bug. The soft-edge rejections are cautious and supported by the titles/body metadata. No overstatement 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": 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-50-3013", + "nodes": [ + "issue:1082", + "issue:11247", + "issue:11410", + "issue:12009", + "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:3152", + "issue:4213", + "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:8871", + "issue:8939", + "issue:8956", + "issue:9051", + "issue:9208", + "issue:9527", + "issue:9548", + "issue:9667", + "issue:9841" + ], + "soft_pairs": [ + "issue:8871|issue:9548", + "issue:12009|issue:9208", + "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" + ], + "prepared_review_unit_hash": "13c5d6ef4dbf97229d641e2f2f6b6d9660dc32031f0ca176be8da301e28ffce2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34565, + "estimated_input_tokens": 8642, + "estimated_eval_tokens": 17540 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of unrelated training/loading bugs. Only the Accelerate/model-loading feature requests (281 and 725) look like the same underlying change; the rest are too contextually different to merge as duplicates.", + "confidence": 0.63, + "canonical_issue_reason": "Issue 725 is the clearest concrete version of the shared model-loading optimization request and overlaps directly with issue 281\u2019s ask to natively use Accelerate to reduce memory during model loading.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 725 is the strongest canonical candidate because it is specific, actionable, and the only near-duplicate pair in the set clearly points to the same feature area.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8871", + "right": "issue:9548", + "accept": false, + "reason": "Both mention LoRA/Flux training, but the reported failures and scopes differ; this is not the same concrete bug." + }, + { + "left": "issue:12009", + "right": "issue:9208", + "accept": false, + "reason": "Both are from_single_file loading failures, but they affect different model families and fail for different reasons." + }, + { + "left": "issue:1672", + "right": "issue:2299", + "accept": false, + "reason": "Both relate to checkpoint conversion/loading, but one is about wrong output image size and the other is about fast-stable-diffusion checkpoint support." + }, + { + "left": "issue:3152", + "right": "issue:4969", + "accept": false, + "reason": "Generic import errors, but they refer to different missing symbols and unrelated code paths." + }, + { + "left": "issue:1260", + "right": "issue:7147", + "accept": false, + "reason": "Both are import-name failures, but they concern different pipeline classes and do not indicate the same bug." + }, + { + "left": "issue:12699", + "right": "issue:12720", + "accept": false, + "reason": "One is a video quality regression over repeated prompts, the other is a quantization-after-LoRA question; different problems." + }, + { + "left": "issue:4911", + "right": "issue:5128", + "accept": false, + "reason": "Both involve from_single_file, but they concern different model types and different missing/invalid loading data." + }, + { + "left": "issue:2578", + "right": "issue:4213", + "accept": false, + "reason": "Editable install trouble is unrelated to SDXL from_single_file needing accelerate." + }, + { + "left": "issue:6353", + "right": "issue:7146", + "accept": false, + "reason": "Training-example error vs CUDA OOM; same broad area, but not the same underlying bug." + }, + { + "left": "issue:6154", + "right": "issue:6967", + "accept": false, + "reason": "Different training scripts and different failures; not mergeable as one defect." + }, + { + "left": "issue:6415", + "right": "issue:6561", + "accept": false, + "reason": "One is about feature/model support, the other about a missing repository file during loading." + }, + { + "left": "issue:11247", + "right": "issue:9527", + "accept": false, + "reason": "Multi-GPU distribution problem vs dtype mismatch; related to ControlNet/FLUX but not the same code-path bug." + }, + { + "left": "issue:2331", + "right": "issue:2437", + "accept": false, + "reason": "Separate feature requests for different pipelines; same subsystem, different changes." + }, + { + "left": "issue:222", + "right": "issue:684", + "accept": false, + "reason": "Broad training runtime failures, but one is general and the other is AMD-specific memory optimization behavior." + }, + { + "left": "issue:1082", + "right": "issue:5897", + "accept": false, + "reason": "Different LoRA/DreamBooth runtime errors with distinct failure modes and code paths." + }, + { + "left": "issue:12587", + "right": "issue:6203", + "accept": false, + "reason": "These are different questions about different ControlNet conditions." + }, + { + "left": "issue:4566", + "right": "issue:9841", + "accept": false, + "reason": "Checkpoint resume issue vs use_dora TypeError; both in SDXL LoRA training, but not the same bug." + }, + { + "left": "issue:1976", + "right": "issue:579", + "accept": false, + "reason": "Both are config-file lookup errors, but they are for different missing files and different loading flows." + }, + { + "left": "issue:6146", + "right": "issue:7757", + "accept": false, + "reason": "Both concern multi-GPU training, but one is DreamBooth LoRA and the other is ControlNet SDXL OOM; not the same defect." + }, + { + "left": "issue:6218", + "right": "issue:6964", + "accept": false, + "reason": "Both involve ControlNet pipelines, but the failures are different and not the same underlying bug." + }, + { + "left": "issue:11410", + "right": "issue:9667", + "accept": false, + "reason": "Completely different failures: attention tensor unpacking vs loading a flux fp8 model." + }, + { + "left": "issue:281", + "right": "issue:725", + "accept": true, + "reason": "Same underlying feature request: integrate Accelerate/device_map into DiffusionPipeline loading to reduce memory use; 725 is a more concrete restatement of 281." + }, + { + "left": "issue:8939", + "right": "issue:8956", + "accept": false, + "reason": "Both are model-loading issues, but they involve different pipelines/models and different missing tokenizer/model assets." + }, + { + "left": "issue:13073", + "right": "issue:9051", + "accept": false, + "reason": "Different pipeline behavior problems: guidance-scale support in ZImageControlNetPipeline vs batch inference in FluxPipeline." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet and appropriately conservative: the 281/725 pair is the only clearly same-bug/feature match, and the other soft-edge rejections do not overclaim equivalence." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10026", + "issue:10226", + "issue:10350", + "issue:10569", + "issue:10920", + "issue:11023", + "issue:1305", + "issue:13079", + "issue:1486", + "issue:2210", + "issue:2774", + "issue:2904", + "issue:2941", + "issue:2947", + "issue:3019", + "issue:3061", + "issue:3451", + "issue:3565", + "issue:4137", + "issue:4213", + "issue:4483", + "issue:5510", + "issue:5846", + "issue:6082", + "issue:6224", + "issue:6280", + "issue:6481", + "issue:6964", + "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:8686", + "issue:9026", + "issue:9141", + "issue:9270", + "issue:9497", + "issue:9514", + "issue:9810", + "issue:9911" + ], + "soft_pairs": [ + "issue:3061|issue:4483", + "issue:6964|issue:8686", + "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" + ], + "prepared_review_unit_hash": "634f678bdf46a0b81863211b16965048c72ad2a00f506b35a3584cd8041a6230", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34469, + "estimated_input_tokens": 8618, + "estimated_eval_tokens": 17492 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: the soft pairs share only broad topical similarity (e.g., memory, LoRA, scheduler, Flux) but not the same concrete bug or fix path. No duplicate pair is strong enough to merge, so there is no clear canonical issue in this set.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3061", + "right": "issue:4483", + "accept": false, + "reason": "Both mention nondeterminism, but one is a generic Stable Diffusion reproducibility complaint and the other is an SDXL generator determinism issue; different code paths and failure modes." + }, + { + "left": "issue:6964", + "right": "issue:8686", + "accept": false, + "reason": "One is about 4-channel UNet support in inpaint pipelines; the other is a callback incompatibility with ControlNet pipelines. Related subsystem, different bug." + }, + { + "left": "issue:2904", + "right": "issue:2947", + "accept": false, + "reason": "AudioLDM scheduler AttributeError and missing load_attn_procs on UNet are unrelated API/runtime failures." + }, + { + "left": "issue:10920", + "right": "issue:1486", + "accept": false, + "reason": "Both involve DDIM-like schedulers, but one is DDIMInverseScheduler inf on first iteration and the other is DDIMScheduler with prediction_type='sample'; different bug locations." + }, + { + "left": "issue:5510", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines with different concrete errors and likely different fixes." + }, + { + "left": "issue:2941", + "right": "issue:4483", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler incorrect results is not the same as generator non-determinism; different symptoms and likely different causes." + }, + { + "left": "issue:6224", + "right": "issue:7146", + "accept": false, + "reason": "TorchDynamo fine-tuning failure and SDXL training OOM are separate training issues." + }, + { + "left": "issue:10350", + "right": "issue:10569", + "accept": false, + "reason": "Both are memory complaints, but one is VAE decoder memory in SD2.1 and the other is CPU memory usage in HunyuanVideo; different components." + }, + { + "left": "issue:6481", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth batch-size failure and 8-bit Adam failure are distinct training/optimizer problems." + }, + { + "left": "issue:7185", + "right": "issue:9810", + "accept": false, + "reason": "PyTorch version support question and LoRA module_to_save() support are unrelated issues." + }, + { + "left": "issue:4213", + "right": "issue:7178", + "accept": false, + "reason": "from_single_file() dependency issue and export_to_video malfunction are unrelated pipeline problems." + }, + { + "left": "issue:9270", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux/LoRA-related, but one is incomplete support in SimpleTuner and the other is loading LoRA after fp8 quantization; not the same bug." + }, + { + "left": "issue:1305", + "right": "issue:3019", + "accept": false, + "reason": "Direct Inversion and SAM-based text-guided editing are different feature requests/proposals." + }, + { + "left": "issue:13079", + "right": "issue:7629", + "accept": false, + "reason": "Both mention OOM, but one is FLUX.2-klein in a loop and the other is SVD on PyTorch 1.13.1; different model/runtime contexts." + }, + { + "left": "issue:5846", + "right": "issue:7330", + "accept": false, + "reason": "Both are training-script errors, but resume_from_checkpoint and FP16 unscale are different bugs." + }, + { + "left": "issue:2210", + "right": "issue:8504", + "accept": false, + "reason": "General request to train text encoder with LoRA and a specific SD3-Medium text-encoder selection feature are overlapping themes, but not the same change." + }, + { + "left": "issue:2774", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion errors, but one is ControlNet safetensors-to-diffusers and the other is invalid safetensors loading; different failure modes." + }, + { + "left": "issue:11023", + "right": "issue:7221", + "accept": false, + "reason": "Both concern bad image outputs, but one is blur with a custom pipeline and the other is noisy output with a model file; not enough to unify." + }, + { + "left": "issue:4137", + "right": "issue:7142", + "accept": false, + "reason": "Both compare diffusers to WebUI, but one is LoRA result mismatch and the other is SDXL-lightning inference mismatch; different pipelines and change targets." + }, + { + "left": "issue:852", + "right": "issue:9026", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but they affect different APIs and versions; not the same underlying bug." + }, + { + "left": "issue:10226", + "right": "issue:9497", + "accept": false, + "reason": "Both are Flux DreamBooth/LoRA training errors, but the reported failures are different shape/type mismatches and may stem from different code paths." + }, + { + "left": "issue:6280", + "right": "issue:9141", + "accept": false, + "reason": "Both are about missing from_single_file support, but one is a specific ControlNet img2img pipeline and the other is the FluxPipeline API." + }, + { + "left": "issue:10026", + "right": "issue:9911", + "accept": false, + "reason": "DeepSpeed memory scaling and multi-ControlNet layer-length mismatch are unrelated Flux issues." + }, + { + "left": "issue:6481", + "right": "issue:730", + "accept": false, + "reason": "DreamBooth batch-size >1 failure and local-vs-Colab training differences are not the same defect." + }, + { + "left": "issue:3451", + "right": "issue:3565", + "accept": false, + "reason": "Both involve memory during training, but one is fp16 using more memory than fp32 and the other is generic OOM in a text-to-image example; different root 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": 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-50-3013", + "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:2185", + "issue:2875", + "issue:3284", + "issue:3454", + "issue:4086", + "issue:4094", + "issue:4125", + "issue:4368", + "issue:4398", + "issue:4405", + "issue:4875", + "issue:5016", + "issue:5178", + "issue:5510", + "issue:5565", + "issue:5791", + "issue:5798", + "issue:5956", + "issue:6117", + "issue:6154", + "issue:6232", + "issue:6297", + "issue:6362", + "issue:6382", + "issue:6967", + "issue:7589", + "issue:8589", + "issue:9278", + "issue:9420", + "issue:9497", + "issue:9546", + "issue:9667", + "issue:9841", + "issue:9857", + "issue:9914", + "issue:993" + ], + "soft_pairs": [ + "issue:2185|issue:2875", + "issue:4125|issue:5956", + "issue:11853|issue:6382", + "issue:11117|issue:5510", + "issue:1672|issue:993", + "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:4368|issue:6362", + "issue:6117|issue:6232" + ], + "prepared_review_unit_hash": "26b2ca33dc142aeb2bbbf022113fff08b71276a52ee6d194dbb861ad20722b53", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "This cluster is mostly a mixed set of training/loading/performance reports across DreamBooth, LoRA, Flux, SDXL, IP-Adapter, and schedulers. Only the two DreamBooth MODEL_TYPE issues look like a true duplicate pair; the rest are similar in wording but describe different bugs or change requests.", + "confidence": 0.79, + "canonical_issue_reason": "issue:1541 is the clearest representative of the duplicate DreamBooth MODEL_TYPE / CKPT loading failure and states the root symptom more directly than 1540.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1541 is the best single issue to anchor this cluster because it cleanly captures the DreamBooth checkpoint-loading / MODEL_TYPE failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2185", + "right": "issue:2875", + "accept": false, + "reason": "One is missing training config files; the other is a training-stability/nan-loss problem." + }, + { + "left": "issue:4125", + "right": "issue:5956", + "accept": false, + "reason": "Both concern training behavior, but they are different models and different symptoms (expected loss curve vs degraded image quality)." + }, + { + "left": "issue:11853", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a ControlNet/IP-Adapter loading size conflict and the other is an LCM LoRA key error after training." + }, + { + "left": "issue:11117", + "right": "issue:5510", + "accept": false, + "reason": "Different pipelines and different dtype mismatch sites; not the same bug." + }, + { + "left": "issue:1672", + "right": "issue:993", + "accept": false, + "reason": "Wrong image size after conversion is unrelated to an fp16 data-type mismatch." + }, + { + "left": "issue:10226", + "right": "issue:6967", + "accept": false, + "reason": "Both are shape-mismatch reports, but they involve different models and different training contexts (Flux LoRA vs SDXL prior preservation)." + }, + { + "left": "issue:5791", + "right": "issue:8589", + "accept": false, + "reason": "Both mention prior preservation, but one is a parameter-combination question and the other is an SD3-specific prior-preservation training failure." + }, + { + "left": "issue:4398", + "right": "issue:9841", + "accept": false, + "reason": "Black outputs and a use_dora TypeError are different failure modes." + }, + { + "left": "issue:3284", + "right": "issue:3454", + "accept": false, + "reason": "Same script family, but the reported failures are not specific enough to conclude the same underlying bug." + }, + { + "left": "issue:9667", + "right": "issue:9914", + "accept": false, + "reason": "One is loading a Flux fp8 model through a local transformer file; the other is loading a trained LoRA with Xlabs on Diffusers." + }, + { + "left": "issue:4086", + "right": "issue:7589", + "accept": false, + "reason": "Different features entirely: SDXL ControlNet training vs GLIGEN layout-to-image synthesis." + }, + { + "left": "issue:9278", + "right": "issue:9497", + "accept": false, + "reason": "Both are Flux DreamBooth issues, but one is multigpu training and the other is a matmul shape error." + }, + { + "left": "issue:9546", + "right": "issue:9857", + "accept": false, + "reason": "Validation OOM and embedding tensor size mismatch are different problems." + }, + { + "left": "issue:4875", + "right": "issue:5178", + "accept": false, + "reason": "Both involve DPM SDE state across runs, but the triggering condition and scheduler variant differ enough that they do not look like the same bug." + }, + { + "left": "issue:5565", + "right": "issue:6154", + "accept": false, + "reason": "Generic script failure versus an M2 Mac-specific LoRA training problem." + }, + { + "left": "issue:11922", + "right": "issue:12459", + "accept": false, + "reason": "Different model families and symptoms; one is FLUX.1-Fill-dev running problem, the other is a Kontext-dev batch-throughput issue." + }, + { + "left": "issue:4094", + "right": "issue:4405", + "accept": false, + "reason": "These are separate feature requests for different training scripts." + }, + { + "left": "issue:10848", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected-argument errors, but they hit different functions/pipelines and do not share the same code path." + }, + { + "left": "issue:12047", + "right": "issue:12535", + "accept": false, + "reason": "Both are Wan2.2 LoRA-related, but one is fusing a Lightx2v LoRA on GGUF and the other is failing to load a Lightning LoRA." + }, + { + "left": "issue:10392", + "right": "issue:9420", + "accept": false, + "reason": "Different Flux+LoRA loading problems with different model variants and failure points." + }, + { + "left": "issue:5016", + "right": "issue:6297", + "accept": false, + "reason": "Text-encoder training is a different issue from a general complaint that the current script cannot train on photos." + }, + { + "left": "issue:1540", + "right": "issue:1541", + "accept": true, + "reason": "Both report the same DreamBooth MODEL_TYPE / CKPT loading failure; 1541 is the clearer root-cause description." + }, + { + "left": "issue:4368", + "right": "issue:6362", + "accept": false, + "reason": "One is training-time OOM for SDXL LoRA; the other is dataset mapping OOM." + }, + { + "left": "issue:6117", + "right": "issue:6232", + "accept": false, + "reason": "Both are scheduler add_noise bugs, but they involve different scheduler classes and different failing settings." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only clearly supported duplicate is the DreamBooth MODEL_TYPE / CKPT-loading pair (1540/1541), and the other soft-edge verdicts appropriately avoid overclaiming equivalence." + }, + "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-50-3013", + "nodes": [ + "issue:10833", + "issue:11023", + "issue:11117", + "issue:11127", + "issue:11133", + "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:5966", + "issue:6159", + "issue:6278", + "issue:6695", + "issue:6832", + "issue:7466", + "issue:7658", + "issue:7666", + "issue:771", + "issue:7799", + "issue:8405", + "issue:8414", + "issue:8667", + "issue:9112", + "issue:9237", + "issue:938", + "issue:9500", + "issue:9667", + "issue:9953" + ], + "soft_pairs": [ + "issue:5966|issue:7658", + "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" + ], + "prepared_review_unit_hash": "7264d9dac5b6d610f15a81d5433473f2f4196c1fd2d5ad568e1e98e8ac904f67", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34814, + "estimated_input_tokens": 8704, + "estimated_eval_tokens": 17664 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad grab-bag of diffusion/pipeline bug reports, mostly about model compatibility, dtype/device mismatches, quantization, and training/inference failures. The soft matches are mostly superficial (same subsystem or similar error wording) rather than true duplicates.", + "confidence": 0.42, + "canonical_issue_reason": "issue:9953 is the best representative of the cluster\u2019s most recurring concrete theme: pipeline failures when moving quantized components across devices. It is specific enough to anchor the cluster, while still broader than the more model-specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9953 is the most generally useful issue here because it describes a common runtime/device-transfer bug pattern that plausibly spans multiple similar reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5966", + "right": "issue:7658", + "accept": false, + "reason": "Related ControlNet topic, but one is SD 2.1 support and the other is SDXL multiple-conditioning; not the same bug." + }, + { + "left": "issue:11352", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized pipelines and device moves, but one is missing a CPU warning and the other is a CUDA error; different failures." + }, + { + "left": "issue:6832", + "right": "issue:7799", + "accept": false, + "reason": "Both are IP-Adapter matmul/shape problems, but they hit different pipelines and likely different code paths." + }, + { + "left": "issue:3803", + "right": "issue:6278", + "accept": false, + "reason": "Both mention multi-GPU training, but the scripts and failure modes are different; not a duplicate bug." + }, + { + "left": "issue:4206", + "right": "issue:4925", + "accept": false, + "reason": "Both concern SDXL ControlNet training, but one is a general main-branch breakage and the other is a distributed OOM issue." + }, + { + "left": "issue:11127", + "right": "issue:9667", + "accept": false, + "reason": "Both are Flux loading issues, but one is a single-file compatibility problem and the other is fp8/local transformer loading." + }, + { + "left": "issue:12216", + "right": "issue:12458", + "accept": false, + "reason": "One reports inferior Qwen-Image-Edit results, the other is a batch inference request/issue; different concerns." + }, + { + "left": "issue:3382", + "right": "issue:4925", + "accept": false, + "reason": "Both are training OOM reports, but they are from different training setups and not the same underlying defect." + }, + { + "left": "issue:8405", + "right": "issue:9112", + "accept": false, + "reason": "Both mention tensor-size errors, but on different models and different inference paths." + }, + { + "left": "issue:8414", + "right": "issue:938", + "accept": false, + "reason": "Completely different models and domains: text-to-audio vs text-to-motion." + }, + { + "left": "issue:8667", + "right": "issue:9112", + "accept": false, + "reason": "Similar size-mismatch wording, but the model families and likely root causes differ." + }, + { + "left": "issue:4872", + "right": "issue:4925", + "accept": false, + "reason": "Both are OOM complaints, but one is SDXL finetuning on T4 and the other is distributed ControlNet training." + }, + { + "left": "issue:175", + "right": "issue:5769", + "accept": false, + "reason": "Both ask about training correctness, but one is about seeding and the other about mixed precision; not the same issue." + }, + { + "left": "issue:13105", + "right": "issue:13258", + "accept": false, + "reason": "Different Wan model versions and different symptoms: noisy output vs missing image-to-video behavior." + }, + { + "left": "issue:1552", + "right": "issue:771", + "accept": false, + "reason": "One is attention slicing on SD2, the other is BF16 in dreambooth; unrelated precision/memory issues." + }, + { + "left": "issue:9237", + "right": "issue:9500", + "accept": false, + "reason": "Both are Flux dreambooth-related, but one is a training failure and the other is a checkpoint-saving failure." + }, + { + "left": "issue:2891", + "right": "issue:6159", + "accept": false, + "reason": "Different pipelines and different API gaps; one is embeds support, the other is denoising_end support." + }, + { + "left": "issue:2549", + "right": "issue:4520", + "accept": false, + "reason": "Different bugs in different features: SD 2.0 UNet loading vs LoRA scale with attention slicing." + }, + { + "left": "issue:3382", + "right": "issue:3451", + "accept": false, + "reason": "Both are training-memory reports, but one is multi-GPU OOM and the other is fp16 memory regression." + }, + { + "left": "issue:11117", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and environments." + }, + { + "left": "issue:5254", + "right": "issue:7466", + "accept": false, + "reason": "One is a feature request for multi-ControlNet support, the other is a torch.compile failure; not the same change or bug." + }, + { + "left": "issue:11432", + "right": "issue:4724", + "accept": false, + "reason": "A from_pretrained dtype-auto issue and an SDXL img2img behavior problem are not the same underlying defect." + }, + { + "left": "issue:10833", + "right": "issue:5075", + "accept": false, + "reason": "Both are matmul shape errors, but they happen in different pipelines with different inputs and likely different root causes." + }, + { + "left": "issue:5455", + "right": "issue:6695", + "accept": false, + "reason": "Same generic subprocess error string, but the surrounding workflows are too different to call them duplicates." + }, + { + "left": "issue:11023", + "right": "issue:7666", + "accept": false, + "reason": "Both mention lpw_stable_diffusion_xl, but one reports blurry output and the other single-file loading failure." + }, + { + "left": "issue:11133", + "right": "issue:13043", + "accept": false, + "reason": "Unrelated models and failures: CogVideoX pipeline bug vs Blackwell kernel-image compatibility 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": 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-50-3013", + "nodes": [ + "issue:10040", + "issue:1082", + "issue:10937", + "issue:11133", + "issue:11285", + "issue:12108", + "issue:12195", + "issue:12235", + "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:8939", + "issue:9112", + "issue:9187", + "issue:9202" + ], + "soft_pairs": [ + "issue:11285|issue:8939", + "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" + ], + "prepared_review_unit_hash": "ec26074868e2c6559578d3129c346308007255b7cf092be68bf3b5a42282c67d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34966, + "estimated_input_tokens": 8742, + "estimated_eval_tokens": 17740 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are unrelated API, training, memory, or model-specific bugs that only share superficial wording. There is no single coherent duplicate target across the whole set.", + "confidence": 0.94, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated failure modes and subsystems, so no single issue cleanly represents the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong best issue candidate for the whole cluster; the only near-duplicate-looking pair is a narrow API-missing report, but it does not unify the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11285", + "right": "issue:8939", + "accept": false, + "reason": "Different problems: conversion/value errors vs tokenizer loading failure." + }, + { + "left": "issue:5455", + "right": "issue:7133", + "accept": false, + "reason": "Dreambooth notebook subprocess failure is not the same as SDXL checkpoint-resume size mismatch." + }, + { + "left": "issue:1082", + "right": "issue:7146", + "accept": false, + "reason": "CUDA cublas execution failure differs from a generic SDXL OOM during finetuning." + }, + { + "left": "issue:5006", + "right": "issue:7146", + "accept": false, + "reason": "Both mention OOM, but one is a BF16 end-of-training spike and the other is a broader training OOM; not the same concrete bug." + }, + { + "left": "issue:3382", + "right": "issue:4872", + "accept": false, + "reason": "Different training contexts and symptoms: multi-GPU OOM vs T4 Colab SDXL finetuning OOM." + }, + { + "left": "issue:2578", + "right": "issue:7178", + "accept": false, + "reason": "Editable install failure is unrelated to export_to_video malfunction." + }, + { + "left": "issue:12235", + "right": "issue:13351", + "accept": false, + "reason": "Related feature area, but different request scopes and model variants; not one concrete change." + }, + { + "left": "issue:4450", + "right": "issue:7735", + "accept": false, + "reason": "Textual inversion multi-text support is unrelated to a missing caption_column field." + }, + { + "left": "issue:4542", + "right": "issue:7378", + "accept": false, + "reason": "One is a multi-image output limit, the other is memory use in latent decoding." + }, + { + "left": "issue:539", + "right": "issue:6761", + "accept": false, + "reason": "Different unexpected-argument errors on unrelated APIs." + }, + { + "left": "issue:7644", + "right": "issue:8667", + "accept": false, + "reason": "Both involve non-power-of-two images, but different model/pipeline code paths and failure modes." + }, + { + "left": "issue:8817", + "right": "issue:9202", + "accept": false, + "reason": "Different IP-Adapter variants and pipeline behavior; not the same bug." + }, + { + "left": "issue:10040", + "right": "issue:3481", + "accept": false, + "reason": "Grey-image generation is unrelated to DDIM determinism across inference steps." + }, + { + "left": "issue:1875", + "right": "issue:720", + "accept": false, + "reason": "Both are dtype mismatch errors, but in different pipelines and code paths." + }, + { + "left": "issue:11133", + "right": "issue:12108", + "accept": false, + "reason": "CogVideoX image-to-video bug is unrelated to Qwen/Chroma flow-matching scheduler breakage." + }, + { + "left": "issue:4052", + "right": "issue:6280", + "accept": true, + "reason": "Both report the same missing `from_single_file` pipeline API; the titles differ only in how specifically the pipeline is named." + }, + { + "left": "issue:12666", + "right": "issue:4356", + "accept": false, + "reason": "Kandinsky pipeline availability is unrelated to a missing dummy module import." + }, + { + "left": "issue:5607", + "right": "issue:9112", + "accept": false, + "reason": "Tensor size mismatch here is a generic shape issue, but the pipelines and reported failure contexts differ." + }, + { + "left": "issue:10937", + "right": "issue:6239", + "accept": false, + "reason": "Both touch VAE/torch FX, but one is a compile error on vae.encode and the other is a torch FX support request for latent sampling." + }, + { + "left": "issue:2904", + "right": "issue:3497", + "accept": false, + "reason": "AudioLDM scheduler NoneType error is unrelated to a missing from_ckpt attribute." + }, + { + "left": "issue:12195", + "right": "issue:4356", + "accept": false, + "reason": "A PyTorch version incompatibility around `torch.library.custom_op` is unrelated to the missing dummy module import." + }, + { + "left": "issue:2234", + "right": "issue:2296", + "accept": false, + "reason": "Both mention xformers attention, but one is training failure and the other is T4 inference incompatibility." + }, + { + "left": "issue:4316", + "right": "issue:8613", + "accept": false, + "reason": "Validation-option failure during training is unrelated to an OOM triggered by caption_column usage." + }, + { + "left": "issue:7263", + "right": "issue:9187", + "accept": false, + "reason": "Different IP-Adapter failure modes: attention slicing vs SDXL/image_encoder_folder=None after Kolors update." + }, + { + "left": "issue:7147", + "right": "issue:758", + "accept": false, + "reason": "StableCascade import failure is unrelated to the urllib3 PROTOCOL_TLS import error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded overall: the cluster is clearly heterogeneous, the no-canonical-issue conclusion is conservative, and the one accepted soft edge (issue:4052 \u2194 issue:6280) is a reasonable same-API-missing match. The false soft-edge rejections are also 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": 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-50-3013", + "nodes": [ + "issue:10381", + "issue:10428", + "issue:10848", + "issue:10937", + "issue:1100", + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11651", + "issue:1214", + "issue:1249", + "issue:13137", + "issue:13446", + "issue:13484", + "issue:1434", + "issue:1614", + "issue:2210", + "issue:2780", + "issue:2856", + "issue:3045", + "issue:3480", + "issue:4194", + "issue:4368", + "issue:4453", + "issue:4534", + "issue:4724", + "issue:4835", + "issue:4874", + "issue:4969", + "issue:5006", + "issue:5374", + "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:1100|issue:1249", + "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" + ], + "prepared_review_unit_hash": "430485424db8f27f91d628b5c3c6fd8bc7c0b1d6f549528c3fe95e76e50cf4e8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34266, + "estimated_input_tokens": 8567, + "estimated_eval_tokens": 17390 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not a true duplicate cluster: they cover many distinct Diffusers bugs and feature requests across Flux/LoRA loading, IP-Adapter, VAE, training scripts, and API signature regressions. None of the soft pairs look like the same concrete underlying issue.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1100", + "right": "issue:1249", + "accept": false, + "reason": "Different failures in different code paths: CLIPTextTransformer device access vs OnnxPipeline ndarray device access." + }, + { + "left": "issue:10848", + "right": "issue:11149", + "accept": false, + "reason": "Both are unexpected-argument errors, but on unrelated APIs: load_model_dict_into_meta(device) vs BnB4BitDiffusersQuantizer.create_quantized_param(dtype)." + }, + { + "left": "issue:10937", + "right": "issue:9091", + "accept": false, + "reason": "torch.compile error on vae.encode is not the same as VAE decoder compile support; different direction and failure mode." + }, + { + "left": "issue:6879", + "right": "issue:9497", + "accept": false, + "reason": "Different runtime errors in separate training flows: dtype mismatch in Custom Diffusion vs mat2 shape error in Flux DreamBooth." + }, + { + "left": "issue:10381", + "right": "issue:10428", + "accept": false, + "reason": "One is a Flux quantization/LoRA report, the other is a Flux inference error on Ascend NPU; different environment and issue." + }, + { + "left": "issue:1614", + "right": "issue:4724", + "accept": false, + "reason": "Both mention bad outputs, but one is autocast black images and the other is SDXL Img2Img behavior with a checkpoint." + }, + { + "left": "issue:11033", + "right": "issue:1214", + "accept": false, + "reason": "Different problems: from_single_file SD1.5 UNet loading vs half-precision CLIPTextModel behavior." + }, + { + "left": "issue:4368", + "right": "issue:5006", + "accept": false, + "reason": "Both are training OOM reports, but for different pipelines and symptoms; not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:7660", + "accept": false, + "reason": "Half-precision CLIPTextModel vs a tracing example failure are unrelated." + }, + { + "left": "issue:13137", + "right": "issue:13484", + "accept": false, + "reason": "Both concern Flux LoRA loading, but one is Flux 2 Klein LoKr weights and the other is FAL loras on Flux 2 dev; not enough evidence of one bug." + }, + { + "left": "issue:13446", + "right": "issue:9660", + "accept": false, + "reason": "Security/trust-check issue for custom_pipeline is unrelated to from_pretrained not setting eval mode." + }, + { + "left": "issue:2210", + "right": "issue:3480", + "accept": false, + "reason": "Training-text-encoder request vs adding a scale parameter for text encoder LoRA layers are different changes." + }, + { + "left": "issue:2856", + "right": "issue:6584", + "accept": false, + "reason": "Generic conversion failure vs a specific DreamShaper v8 inpaint conversion problem; different concrete cases." + }, + { + "left": "issue:3045", + "right": "issue:4453", + "accept": false, + "reason": "Both are LoRA conversion questions, but one is converting LoRA safetensors to diffusers and the other is converting SDXL LoRA for AUTO1111 compatibility." + }, + { + "left": "issue:4194", + "right": "issue:6524", + "accept": false, + "reason": "VAE not working in from_single_file is unrelated to reloading LoRA a second time." + }, + { + "left": "issue:4969", + "right": "issue:6794", + "accept": false, + "reason": "CrossAttention import failure is unrelated to cast_training_params import error." + }, + { + "left": "issue:5374", + "right": "issue:6761", + "accept": false, + "reason": "Different unexpected-argument errors on different APIs: checkpoint_path vs VaeImageProcessor.preprocess." + }, + { + "left": "issue:7033", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter attention masking warning logs vs IP-Adapter masking are related only broadly; one is logging, the other is functional masking behavior." + }, + { + "left": "issue:8708", + "right": "issue:8887", + "accept": false, + "reason": "Missing vae.config.shift_factor in SD3 training examples vs wrong VAE encode in SD3 training are distinct bugs." + }, + { + "left": "issue:11464", + "right": "issue:11651", + "accept": false, + "reason": "Two different FluxControlPipeline LoRA-loading failures for different LoRAs and setups; not clearly the same root cause." + }, + { + "left": "issue:4835", + "right": "issue:4874", + "accept": false, + "reason": "Both involve ControlNet/Upscale pipelines, but one is MultiControlNetModel behavior and the other is low_res_scheduler when loading locally." + }, + { + "left": "issue:2780", + "right": "issue:5846", + "accept": false, + "reason": "Different LoRA training errors in different scripts and contexts." + }, + { + "left": "issue:1434", + "right": "issue:4874", + "accept": false, + "reason": "Upscale OOM at larger than 128x128 is not the same as a local low_res_scheduler bug." + }, + { + "left": "issue:6278", + "right": "issue:8236", + "accept": false, + "reason": "Multi-GPU training failure in one example is not the same as wrong scheduler step count with num_train_epochs in another." + }, + { + "left": "issue:4534", + "right": "issue:9841", + "accept": false, + "reason": "SDXL dreambooth validation crash on MPS is unrelated to a TypeError when use_dora is false in SDXL 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": 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-50-3013", + "nodes": [ + "issue:10055", + "issue:10266", + "issue:10421", + "issue:10738", + "issue:10823", + "issue:10952", + "issue:11209", + "issue:11224", + "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:3582", + "issue:3619", + "issue:3774", + "issue:3910", + "issue:4073", + "issue:4086", + "issue:4340", + "issue:4468", + "issue:4476", + "issue:4736", + "issue:5259", + "issue:5619", + "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:9962" + ], + "soft_pairs": [ + "issue:3582|issue:5619", + "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" + ], + "prepared_review_unit_hash": "eb8fbc1e0e9e88ab8ccfb0df70cb0dd9818349af7b968c3838bb7833831fe5fe", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 33814, + "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 collection of Diffusers issues around training, LoRA loading, conversion, and a few scheduler/runtime bugs. The only clear duplicate pair is the repeated generic \"Error in loading Lora\" reports; the rest are thematically similar but not the same underlying defect.", + "confidence": 0.66, + "canonical_issue_reason": "issue:11224 is the clearest representative of the repeated generic LoRA-loading failure reports, with the same broad title as issue:11209 and slightly richer discussion activity.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the best cluster anchor because it is a broad, user-facing LoRA loading failure that matches multiple nearby reports, while still being specific enough to represent the duplicate family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3582", + "right": "issue:5619", + "accept": false, + "reason": "Different problems: ControlNet inpaint strength handling vs LCM img2img AutoencodeTiny encode behavior." + }, + { + "left": "issue:3619", + "right": "issue:771", + "accept": false, + "reason": "Unrelated runtime areas: Text2Video-Zero CrossFrameAttention vs BF16 dreambooth precision support." + }, + { + "left": "issue:1979", + "right": "issue:2856", + "accept": false, + "reason": "Both are conversion-related, but one is a general SD-to-diffusers conversion failure and the other is a specific SD conversion script issue; not clearly the same bug." + }, + { + "left": "issue:10055", + "right": "issue:7310", + "accept": false, + "reason": "Both mention training scripts, but one is SD3 ControlNet training and the other is SDXL LoRA defaults; different code paths and failure modes." + }, + { + "left": "issue:4340", + "right": "issue:6176", + "accept": false, + "reason": "Both concern LoRA training/loading, but one is SDXL LoRA training with text encoder and the other is loading LoRA weights after DreamBooth LoRA training; not the same defect." + }, + { + "left": "issue:11285", + "right": "issue:6226", + "accept": false, + "reason": "One is about conversion value errors between original Stable Diffusion and diffusers, the other about loading errors caused by a conversion script; related area but not the same underlying issue." + }, + { + "left": "issue:4073", + "right": "issue:9180", + "accept": false, + "reason": "Different failure classes: DeepFloyd IF safety checker attribute error vs pipeline missing _execution_device." + }, + { + "left": "issue:13162", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux LoRA support/load issues, but they appear to target different models and loading scenarios; too broad to treat as the same concrete bug." + }, + { + "left": "issue:5259", + "right": "issue:7708", + "accept": false, + "reason": "Both are missing-file load errors, but one is generic model_index.json missing and the other is a tokenizer/config.json path issue for SDXL." + }, + { + "left": "issue:1214", + "right": "issue:7178", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to export_to_video behavior." + }, + { + "left": "issue:10421", + "right": "issue:4468", + "accept": false, + "reason": "Both involve multi-GPU behavior, but one is a CPU memory leak during pipeline migration and the other is differing inference performance on multi-GPU." + }, + { + "left": "issue:10952", + "right": "issue:3910", + "accept": false, + "reason": "Both are LoRA-related, but one is a specific adapter-name mismatch in SDXL long-prompt weighting and the other is a generic \"certain LoRA will not load\" report." + }, + { + "left": "issue:1742", + "right": "issue:3481", + "accept": false, + "reason": "Performance variability vs output-dissimilarity across inference steps are different issues despite both mentioning prompt/inference behavior." + }, + { + "left": "issue:4086", + "right": "issue:7483", + "accept": false, + "reason": "Both are about ControlNet/SDXL training or conversion, but one is SDXL ControlNet training not working and the other is LoRA-to-Diffusers conversion for SDXL 1.0 base models." + }, + { + "left": "issue:4476", + "right": "issue:9179", + "accept": false, + "reason": "Both mention SDXL+ControlNet, but one is fill50k results not matching expectations and the other is training results generally not making sense; too broad to merge." + }, + { + "left": "issue:7056", + "right": "issue:8514", + "accept": false, + "reason": "Both are training errors, but one is SDXL text-to-image LoRA with train_text_encoder and the other is EMAModel causing InstructP2P parallel fine-tuning failure." + }, + { + "left": "issue:3382", + "right": "issue:3774", + "accept": false, + "reason": "Multi-GPU OOM in text-to-image training and ZeRO3 memory not saving are related only at a high level; different training setups and symptoms." + }, + { + "left": "issue:10823", + "right": "issue:6536", + "accept": false, + "reason": "Different problems: missing inference files from fine-tuning script vs UNet3DConditionModel fine-tuning out-of-memory." + }, + { + "left": "issue:6761", + "right": "issue:9962", + "accept": false, + "reason": "Different API breakages: unexpected keyword on VaeImageProcessor.preprocess vs unexpected keyword use_cuda_graph." + }, + { + "left": "issue:11209", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA loading issues, but 11702 is an AccVid-specific key error with diffusers; not the same as the generic loading failure." + }, + { + "left": "issue:11209", + "right": "issue:6130", + "accept": false, + "reason": "Same broad theme, but 6130 is an older generic loading issue with no evidence it is the exact same adapter/key failure as 11209." + }, + { + "left": "issue:11224", + "right": "issue:11702", + "accept": false, + "reason": "Generic LoRA loading failure vs AccVid LoRA key error; different concrete failure modes." + }, + { + "left": "issue:11224", + "right": "issue:6130", + "accept": false, + "reason": "Both are generic LoRA-loading complaints, but the evidence is too weak to say they are the same underlying bug." + }, + { + "left": "issue:10266", + "right": "issue:10738", + "accept": false, + "reason": "Both are out-of-bounds scheduler issues, but one is UniPC with FlowMatch and the other is a scheduler sigma index error; not enough to identify a single bug." + }, + { + "left": "issue:3382", + "right": "issue:4736", + "accept": false, + "reason": "Different training failures: multi-GPU OOM in text-to-image vs SDXL LoRA OOM plus invalid cast." + }, + { + "left": "issue:1931", + "right": "issue:234", + "accept": false, + "reason": "Both concern half precision, but one is a Stable Diffusion 2 dtype mismatch and the other is a generic pipeline half-precision 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": 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-50-3013", + "nodes": [ + "issue:10040", + "issue:10169", + "issue:10436", + "issue:1070", + "issue:10860", + "issue:11160", + "issue:11247", + "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: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:9500", + "issue:9548", + "issue:9911", + "issue:9970" + ], + "soft_pairs": [ + "issue:11247|issue:9911", + "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: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": "b7e2aed33fba7a1bfe6a8fadaef0b31b21ee0ed2659b2814cf8e43f56685ac5f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34435, + "estimated_input_tokens": 8609, + "estimated_eval_tokens": 17474 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very loose: most items are distinct model-loading, training, or GPU/device-specific bugs rather than true duplicates. No soft pair looks safe to merge as the same underlying issue.", + "confidence": 0.37, + "canonical_issue_reason": "issue:9500 is the most substantial and actionable report in the set, with the richest reproduction details and highest discussion activity, so it is the best representative anchor for this heterogeneous cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9500 is the strongest standalone issue for triage: detailed, active, and clearly described, even though the surrounding items are not true duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11247", + "right": "issue:9911", + "accept": false, + "reason": "Both concern Flux/controlnet multi-device or multi-controlnet behavior, but they describe different failure modes and likely different code paths." + }, + { + "left": "issue:11160", + "right": "issue:12896", + "accept": false, + "reason": "Same WAN i2v family, but one is inconsistent inference output and the other is a CUDA-vs-MPS execution failure; too different to treat as one bug." + }, + { + "left": "issue:4911", + "right": "issue:7228", + "accept": false, + "reason": "Both are loading-related, but one is about missing custom text_encoder in from_single_file and the other is a traced-model dtype attribute error." + }, + { + "left": "issue:1988", + "right": "issue:4619", + "accept": false, + "reason": "Both mention fp16/bf16 type mismatch during training, but they are different training scripts and not clearly the same concrete bug." + }, + { + "left": "issue:2578", + "right": "issue:5226", + "accept": false, + "reason": "Editable install failure and LoRA loading failure are unrelated problems." + }, + { + "left": "issue:10169", + "right": "issue:3812", + "accept": false, + "reason": "Missing config.json and missing controlnet key in config are different config-loading issues." + }, + { + "left": "issue:4768", + "right": "issue:5884", + "accept": false, + "reason": "One is about checkpointing multiple T2I adapters; the other is a feature request for broader IP-Adapter support." + }, + { + "left": "issue:12141", + "right": "issue:7057", + "accept": false, + "reason": "VAE dtype compatibility and checkpoint/model loading failure are not the same underlying bug." + }, + { + "left": "issue:7057", + "right": "issue:7666", + "accept": false, + "reason": "Different loading paths and different errors; no evidence they share the same root cause." + }, + { + "left": "issue:13300", + "right": "issue:8668", + "accept": false, + "reason": "CPU generation failure for SD3.5/FLUX is unrelated to the image-size alignment bug in SD3 img2img." + }, + { + "left": "issue:9500", + "right": "issue:9970", + "accept": false, + "reason": "Both are DreamBooth training failures, but one is Flux checkpoint saving and the other is SDXL LoRA script failure; too broad to merge." + }, + { + "left": "issue:2991", + "right": "issue:817", + "accept": false, + "reason": "Both are mixed-precision example failures, but they affect different examples and are not clearly the same code-path defect." + }, + { + "left": "issue:12771", + "right": "issue:9343", + "accept": false, + "reason": "Scheduler out-of-bounds with Karras sigmas is unrelated to FLUX loading with mismatched sizes." + }, + { + "left": "issue:3235", + "right": "issue:4885", + "accept": false, + "reason": "Custom Diffusion weights with biases failing to load is not the same as SDXL ControlNet Img2Img LoRA loading." + }, + { + "left": "issue:6082", + "right": "issue:7854", + "accept": false, + "reason": "Both are half/float mismatch reports, but they are separate reports without enough evidence of the same concrete failure." + }, + { + "left": "issue:12108", + "right": "issue:12359", + "accept": false, + "reason": "Pipeline breakage with flow-matching schedulers is not the same as the Chroma documentation issue about guidance_scale." + }, + { + "left": "issue:10040", + "right": "issue:8922", + "accept": false, + "reason": "Grey images and black images are similar symptoms, but they are not enough to conclude the same root cause." + }, + { + "left": "issue:3191", + "right": "issue:4936", + "accept": false, + "reason": "Dreambooth+LoRA being broken and resume in Dreambooth LoRA training are different training problems." + }, + { + "left": "issue:1565", + "right": "issue:4551", + "accept": false, + "reason": "GPU selection/OOM on SD2 is unrelated to SDXL Dreambooth crashing." + }, + { + "left": "issue:9500", + "right": "issue:9548", + "accept": false, + "reason": "Both involve Flux DreamBooth/LoRA, but one is checkpoint saving failure and the other is a broader 'still issue' follow-up; not the same concrete bug." + }, + { + "left": "issue:579", + "right": "issue:8833", + "accept": false, + "reason": "Both mention missing config.json, but one is textual inversion and the other is a model repo/config packaging issue." + }, + { + "left": "issue:10436", + "right": "issue:1070", + "accept": false, + "reason": "Inpainting model not loading and inpainting faces bug are different issues." + }, + { + "left": "issue:1251", + "right": "issue:2495", + "accept": false, + "reason": "Black output on MPS for RePaint and black output on MPS for upscale pipeline may look similar, but they affect different pipelines and code paths." + }, + { + "left": "issue:10860", + "right": "issue:11396", + "accept": false, + "reason": "Both involve LoRA interoperability with ComfyUI, but one is about using a trained LoRA and the other is about converting a HiDream LoRA format." + }, + { + "left": "issue:5886", + "right": "issue:7974", + "accept": false, + "reason": "Face model support request and an inpaint bug with IP-Adapter face+style are related only broadly; 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": 1, + "component_count": 102, + "review_unit_index": 47, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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-50-3013", + "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": "794f3cca398046a0d53b2534f632a4a71917c9e0bc1dd2fd0660ee2ed54334e6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is mostly a loose collection of unrelated Diffusers issues. Only a few pairs look like true duplicates: the train_dreambooth validation-image bug, the SD3ControlNetModel non-power-of-two size mismatch, and the IP-Adapter FaceID support issue.", + "confidence": 0.71, + "canonical_issue_reason": "issue:6415 is the clearest representative of one of the real duplicate-like subclusters: it is explicit about IP-Adapter FaceID/FaceID-plus support, broad enough to anchor the related reports, and has the most discussion context among that group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6415 is the best overall issue in this set to keep as the canonical anchor because it is concrete, clearly scoped, and the most discussion-rich of the near-duplicate FaceID/IP-Adapter reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11145", + "right": "issue:9599", + "accept": false, + "reason": "Both mention FLUX LoRA, but one is a support request for Flux Fill LoRA/dreambooth finetuning and the other asks for a LoRA-only example; not the same bug or change." + }, + { + "left": "issue:4557", + "right": "issue:6741", + "accept": false, + "reason": "Both are generic AttributeError reports, but they are about different missing attributes in different code paths and do not look like one underlying defect." + }, + { + "left": "issue:4256", + "right": "issue:6073", + "accept": false, + "reason": "Both involve dreambooth training, but one is a specific SDXL training error and the other is a beginner\u2019s general error while following README instructions; too broad to merge." + }, + { + "left": "issue:12104", + "right": "issue:12656", + "accept": false, + "reason": "Both mention out-of-bounds indexing, but one is a generic IndexError and the other is a specific AuraFlow positional-embedding bug; likely different defects." + }, + { + "left": "issue:10154", + "right": "issue:9525", + "accept": false, + "reason": "Both concern Flux LoRA loading, but one is an attribute-error failure on load_lora_weights and the other is lora_scale having no effect; different symptoms and likely different fixes." + }, + { + "left": "issue:12141", + "right": "issue:1552", + "accept": false, + "reason": "These are unrelated dtype/precision and attention-slicing problems in different pipelines; not the same underlying bug." + }, + { + "left": "issue:10952", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-loading related, but one is an adapter-name mismatch in SDXL long-prompt weighting and the other is weights not being loaded from checkpoints; not the same concrete issue." + }, + { + "left": "issue:8556", + "right": "issue:9443", + "accept": false, + "reason": "One is a meta-tensor copy failure when loading SD3 from single file, the other is a tokenizer instantiation problem; different code paths." + }, + { + "left": "issue:11436", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different models/pipelines and are not clearly the same bug." + }, + { + "left": "issue:6415", + "right": "issue:8817", + "accept": true, + "reason": "Both are about IP-Adapter FaceID not working / not being supported, so they appear to describe the same missing-feature bug." + }, + { + "left": "issue:10337", + "right": "issue:13300", + "accept": false, + "reason": "These are different model/runtime problems: quantized-transformer FLUX IPAdapter failure versus CPU generation failures for SD3/FLUX." + }, + { + "left": "issue:4086", + "right": "issue:684", + "accept": false, + "reason": "Both touch training or hardware compatibility, but one is SDXL ControlNet training and the other is AMD memory optimizations; unrelated." + }, + { + "left": "issue:1261", + "right": "issue:222", + "accept": false, + "reason": "The xformers backward assert is a specific attention-kernel bug, while the training runtime error report is too generic and not the same issue." + }, + { + "left": "issue:10542", + "right": "issue:11006", + "accept": false, + "reason": "Both are video-model issues, but they involve different pipelines and failure modes (batching vs quantized-transformer output corruption)." + }, + { + "left": "issue:2838", + "right": "issue:8482", + "accept": false, + "reason": "One requests ControlNet pipeline behavior, the other asks for SD3-medium model support; different feature requests." + }, + { + "left": "issue:1614", + "right": "issue:4104", + "accept": false, + "reason": "Both mention black output / casting, but the reported contexts and code paths differ enough that they do not clearly share one root cause." + }, + { + "left": "issue:11127", + "right": "issue:9861", + "accept": false, + "reason": "One is about single-file FLUX loading failure, the other about Flux training not updating the transformer; different stages and likely different fixes." + }, + { + "left": "issue:4316", + "right": "issue:5037", + "accept": true, + "reason": "Both are train_dreambooth.py validation-image failures, with the second validation image option triggering the same kind of error." + }, + { + "left": "issue:1478", + "right": "issue:1614", + "accept": false, + "reason": "One is an upscale pipeline multi-output limitation and the other is a black-image/autocast issue; not the same bug." + }, + { + "left": "issue:2549", + "right": "issue:3420", + "accept": false, + "reason": "These involve different pipelines and failures; the titles do not point to one shared underlying code-path problem." + }, + { + "left": "issue:1672", + "right": "issue:2296", + "accept": false, + "reason": "Image-size conversion errors and xformers memory-efficient attention failures are unrelated." + }, + { + "left": "issue:2904", + "right": "issue:4557", + "accept": false, + "reason": "Different AttributeError contexts in different pipelines; no sign of a shared underlying defect." + }, + { + "left": "issue:5607", + "right": "issue:8667", + "accept": true, + "reason": "The titles describe the same tensor-size-mismatch bug for non-power-of-two images in SD3ControlNetModel." + }, + { + "left": "issue:5757", + "right": "issue:8659", + "accept": false, + "reason": "Both mention checkpoint resume issues, but they are different scripts and 8659 also includes inference-loading problems; not clearly the same bug." + }, + { + "left": "issue:3884", + "right": "issue:6086", + "accept": false, + "reason": "Both concern train_text_to_image_lora.py, but one is a generic error report and the other is a specific FP16 gradient unscale issue; not enough to treat as duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The three accepted duplicate-like pairs are well supported by the issue titles, and the rejected soft pairs are mostly framed cautiously with reasonable distinctions. Canonical anchoring on issue:6415 is also defensible given the discussion activity and the FaceID/IP-Adapter subcluster." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10055", + "issue:10640", + "issue:11314", + "issue:11581", + "issue:11585", + "issue:1214", + "issue:1249", + "issue:1552", + "issue:1572", + "issue:1709", + "issue:1867", + "issue:1974", + "issue:1976", + "issue:2044", + "issue:2052", + "issue:2089", + "issue:2296", + "issue:2299", + "issue:2560", + "issue:259", + "issue:3032", + "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:776", + "issue:8317", + "issue:8494", + "issue:8511", + "issue:8534", + "issue:8589", + "issue:859", + "issue:8939", + "issue:9026", + "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:11581|issue:9026", + "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" + ], + "prepared_review_unit_hash": "b64a33e49e6f3b3620aebd705cf0f3cde94908131be539fad2acb16d89023b11", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "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 mostly a loose set of training/inference issues around diffusion models; only one pair looks plausibly like the same underlying generator-list reproducibility bug. The rest are distinct failures in different pipelines, models, or error paths.", + "confidence": 0.77, + "canonical_issue_reason": "Issue #10055 is the most direct representative of the cluster\u2019s main theme: an SD3 ControlNet training script not working. It is specific enough to anchor the cluster, while several neighboring issues are narrower variants or unrelated training-script bugs.", + "canonical_pr_reason": null, + "best_issue_reason": "#10055 is the strongest global issue choice because it is explicit about the broken training script and the SD3 ControlNet context, which matches the dominant topic better than the more model-specific or secondary training complaints.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10640", + "right": "issue:7079", + "accept": false, + "reason": "Different bugs: a FluxInpaint/DataParallel multi-GPU error versus a Transformer2DModel patch/norm_type failure." + }, + { + "left": "issue:2044", + "right": "issue:6741", + "accept": false, + "reason": "Unrelated attribute errors in different code paths: DDP dtype access vs missing no_flip argument in a diffusion DPO script." + }, + { + "left": "issue:7483", + "right": "issue:7708", + "accept": false, + "reason": "Both involve SDXL-related loading/conversion, but one is LoRA-to-Diffusers conversion and the other is a tokenizer file lookup failure; not the same concrete bug." + }, + { + "left": "issue:8317", + "right": "issue:9398", + "accept": false, + "reason": "Both are missing-argument runtime errors, but they occur in different classes and call sites, so they do not appear to be the same underlying defect." + }, + { + "left": "issue:8494", + "right": "issue:859", + "accept": false, + "reason": "Different API breakages: SD3 force_hooks/force_hook mismatch versus a generic unexpected device_map constructor argument." + }, + { + "left": "issue:1572", + "right": "issue:1867", + "accept": false, + "reason": "Both are img2img-related, but one is a broad pipeline incompatibility while the other is a low-strength scheduler behavior issue." + }, + { + "left": "issue:11581", + "right": "issue:9026", + "accept": false, + "reason": "Different errors from different layers: IP-Adapter loading in FLUX with a dtype issue versus load_checkpoint_and_dispatch force_hook mismatch." + }, + { + "left": "issue:2299", + "right": "issue:490", + "accept": false, + "reason": "One is about loading fine-tuned checkpoints into Diffusers, the other is a memory-usage comparison issue." + }, + { + "left": "issue:11585", + "right": "issue:1976", + "accept": false, + "reason": "No shared underlying bug: Stable Diffusion Web UI output quality vs an incorrect tokenizer/config path error." + }, + { + "left": "issue:6444", + "right": "issue:6610", + "accept": false, + "reason": "Different training/inference problems: missing peft_config during checkpointing versus num_in_channels being ignored in from_single_file." + }, + { + "left": "issue:259", + "right": "issue:776", + "accept": false, + "reason": "Different issues in different areas: progress bar display versus img2img batch-size behavior." + }, + { + "left": "issue:1974", + "right": "issue:2560", + "accept": true, + "reason": "Both describe the same generator-list reproducibility problem in img2img/scheduler behavior: passing a list of generators yields incorrect or non-deterministic batch outputs." + }, + { + "left": "issue:5603", + "right": "issue:6865", + "accept": false, + "reason": "Different import/utility issues: one is a missing diffusers utility import, the other is a load_image Image-instance validation problem." + }, + { + "left": "issue:746", + "right": "issue:8939", + "accept": false, + "reason": "Both are loading-related, but one is an ONNX revision problem for img2img and the other is a tokenizer file resolution error for SD3." + }, + { + "left": "issue:8511", + "right": "issue:8589", + "accept": false, + "reason": "Both concern SD3 DreamBooth training, but one is about unloading text encoders and the other is prior-preservation support." + }, + { + "left": "issue:1552", + "right": "issue:2296", + "accept": false, + "reason": "Different attention/memory issues in different setups: attention slicing on SD2 versus xformers on T4." + }, + { + "left": "issue:1709", + "right": "issue:3032", + "accept": false, + "reason": "Different attribute errors in different pipelines: ONNX img2img astype misuse versus ControlNet img2img missing from_pretrained." + }, + { + "left": "issue:2089", + "right": "issue:7431", + "accept": false, + "reason": "Both are DreamBooth/training related, but one is OOM on AltDiffusion and the other is a DoRA/text-encoder training problem." + }, + { + "left": "issue:11314", + "right": "issue:8534", + "accept": false, + "reason": "Both are SD/FLUX/SD3 training-script complaints, but they concern different models and different defects: a ControlNet script mistake versus wrong logit-normal weighting." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The only accepted pair, 1974/2560, is plausibly the same generator-list reproducibility bug, and the other negative verdicts do not overstate the 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": 55, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10673", + "issue:1082", + "issue:11006", + "issue:11160", + "issue:11839", + "issue:1214", + "issue:12157", + "issue:12433", + "issue:12559", + "issue:12771", + "issue:1407", + "issue:1552", + "issue:1919", + "issue:1949", + "issue:2578", + "issue:2645", + "issue:337", + "issue:3382", + "issue:3432", + "issue:3582", + "issue:4213", + "issue:4386", + "issue:4453", + "issue:4480", + "issue:4580", + "issue:4677", + "issue:487", + "issue:4935", + "issue:5012", + "issue:5227", + "issue:5619", + "issue:5798", + "issue:6280", + "issue:6371", + "issue:6382", + "issue:6964", + "issue:7049", + "issue:7660", + "issue:771", + "issue:7751", + "issue:8320", + "issue:8494", + "issue:8551", + "issue:8668", + "issue:9187", + "issue:9497", + "issue:9726" + ], + "soft_pairs": [ + "issue:1949|issue:7751", + "issue:1552|issue:3582", + "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" + ], + "prepared_review_unit_hash": "6262e8414168cba15c27fda93922fdc4e7b05d132f1652b9aefcf182e67f758d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "This cluster is heterogeneous: the items cover unrelated bugs in training, pipelines, schedulers, docs, and platform-specific failures. None of the soft 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 because the set does not form one duplicate family; the issues span different models, code paths, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the cluster for the same reason: the topics are too unrelated to anchor on one issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1949", + "right": "issue:7751", + "accept": false, + "reason": "Different problems: Dreambooth tutorial/requirements setup vs an AnimateDiff conversion error." + }, + { + "left": "issue:1552", + "right": "issue:3582", + "accept": false, + "reason": "Both are pipeline behavior issues, but attention slicing and ControlNet inpaint strength are unrelated code paths." + }, + { + "left": "issue:6382", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP Adapter, but one is an LCM training/use key error and the other is an SDXL config regression after Kolors update." + }, + { + "left": "issue:2578", + "right": "issue:6964", + "accept": false, + "reason": "Editable install problems are unrelated to a ControlNet inpaint bug on 4-channel UNets." + }, + { + "left": "issue:2578", + "right": "issue:7660", + "accept": false, + "reason": "Editable install failure and a trace example failure are distinct issues with no shared code-path evidence." + }, + { + "left": "issue:4386", + "right": "issue:4453", + "accept": false, + "reason": "Both concern LoRA conversion, but one is a general question and the other is a specific A1111 compatibility question." + }, + { + "left": "issue:10673", + "right": "issue:11839", + "accept": false, + "reason": "Both report shape/input-size errors, but they are different pipelines/models (AuraFlow vs FluxKontext gguf)." + }, + { + "left": "issue:12433", + "right": "issue:1919", + "accept": false, + "reason": "Documentation version incompatibility is unrelated to missing datasets in a Dreambooth requirements file." + }, + { + "left": "issue:11006", + "right": "issue:11160", + "accept": false, + "reason": "Same Wan 2.1 family, but quantized-transformer video corruption and inconsistent inference are not the same concrete bug." + }, + { + "left": "issue:12559", + "right": "issue:3432", + "accept": false, + "reason": "Different backend errors: missing torchvision::nms on Windows vs half-precision CPU conv failure." + }, + { + "left": "issue:9497", + "right": "issue:9726", + "accept": false, + "reason": "Both are FLUX Dreambooth reports, but one is a mat2 shape error and the other is a multigpu training problem." + }, + { + "left": "issue:2645", + "right": "issue:4480", + "accept": false, + "reason": "Apple-silicon backend failures, but one is a CUDA-on-M1 assertion and the other is an MPS float16 crash." + }, + { + "left": "issue:4213", + "right": "issue:5227", + "accept": false, + "reason": "From_single_file loading without accelerate and load_lora_weight with torch.compile are unrelated issues." + }, + { + "left": "issue:5798", + "right": "issue:8494", + "accept": false, + "reason": "Both are unexpected-kwarg errors, but they affect different pipelines and different arguments." + }, + { + "left": "issue:12771", + "right": "issue:4580", + "accept": false, + "reason": "Both involve scheduler failures with karras sigmas, but they are different schedulers and failure points." + }, + { + "left": "issue:6280", + "right": "issue:8320", + "accept": false, + "reason": "Both touch from_single_file, but one lacks a pipeline method while the other is an AutoencoderKL type-handling bug." + }, + { + "left": "issue:1407", + "right": "issue:7049", + "accept": false, + "reason": "An ONNX feature_extractor mismatch and an IP Adapter unpacking error are unrelated." + }, + { + "left": "issue:5619", + "right": "issue:771", + "accept": false, + "reason": "LCM img2img autoencoder behavior and BF16 Dreambooth are separate backend/model issues." + }, + { + "left": "issue:1214", + "right": "issue:487", + "accept": false, + "reason": "Half-precision CLIPTextModel and Stable Diffusion on M1 CPU are different precision/backend problems." + }, + { + "left": "issue:1082", + "right": "issue:3382", + "accept": false, + "reason": "CUBLAS matmul execution failure and multi-GPU OOM are distinct Dreambooth training failures." + }, + { + "left": "issue:12157", + "right": "issue:6371", + "accept": false, + "reason": "A bnb quantization config iterable bug in Qwen-Image training is unrelated to a ControlNet XS assert error." + }, + { + "left": "issue:1214", + "right": "issue:5227", + "accept": false, + "reason": "Half-precision CLIPTextModel and torch.compile LoRA loading are unrelated code paths." + }, + { + "left": "issue:337", + "right": "issue:4677", + "accept": false, + "reason": "Both are inpainting-related, but one is a general feature/problem report and the other is a documentation example failure." + }, + { + "left": "issue:4935", + "right": "issue:5012", + "accept": false, + "reason": "Both mention the same LoRA SDXL training script, but one is a usage question and the other is a text-encoder training limitation." + }, + { + "left": "issue:8551", + "right": "issue:8668", + "accept": false, + "reason": "Both involve image latent handling, but one is a device-map transfer bug and the other is a size-alignment failure in SD3 img2img." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10266", + "issue:10453", + "issue:10591", + "issue:11006", + "issue:12034", + "issue:12547", + "issue:1552", + "issue:1976", + "issue:2091", + "issue:2459", + "issue:2668", + "issue:3354", + "issue:3454", + "issue:3582", + "issue:3613", + "issue:3774", + "issue:4134", + "issue:4137", + "issue:4728", + "issue:4733", + "issue:4880", + "issue:5054", + "issue:5259", + "issue:5395", + "issue:5465", + "issue:5524", + "issue:5619", + "issue:5749", + "issue:5860", + "issue:6492", + "issue:6536", + "issue:6570", + "issue:6598", + "issue:6661", + "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:10266|issue:5749", + "issue:4134|issue:6661", + "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" + ], + "prepared_review_unit_hash": "c697d7a1a594387a6129bbeca017eb9128f0a3e909d97a708883d62bb61bb1d1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34341, + "estimated_input_tokens": 8586, + "estimated_eval_tokens": 17428 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly false-positive similarity matches: the set mixes unrelated bugs across model loading, training scripts, ControlNet, video pipelines, and OOM/runtime issues. Only the black-image pair looks like the same underlying defect; the rest should stay separate.", + "confidence": 0.86, + "canonical_issue_reason": "issue:6815 is the most concrete/root-cause report in the only clear duplicate pair (black images caused by invalid value casting). The broader cluster is otherwise too heterogeneous to have a strong single canonical issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6815 is the best representative for the one real overlap here because it states the warning and symptom together; it is still only a local best fit, not a true cluster-wide anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10266", + "right": "issue:5749", + "accept": false, + "reason": "Both mention index errors, but UniPC+FlowMatch out-of-bounds is a specific scheduler bug, while 5749 is a generic tensor index OOB with no shared code path." + }, + { + "left": "issue:4134", + "right": "issue:6661", + "accept": false, + "reason": "ControlNet MPS tensor-shape mismatch is a model compatibility bug; 6661 is an OOM on certain image sizes, which is a different failure mode." + }, + { + "left": "issue:3582", + "right": "issue:5860", + "accept": false, + "reason": "These affect different pipelines and symptoms: inpaint strength handling vs Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:4137", + "right": "issue:6598", + "accept": false, + "reason": "Both compare outputs, but one is LoRA-vs-WebUI divergence and the other is img2img mismatch; they do not point to the same concrete bug." + }, + { + "left": "issue:5395", + "right": "issue:6809", + "accept": false, + "reason": "PEFT LoRA merging problems and PEFT adapter loading failures are related, but these describe different operations and likely different bugs." + }, + { + "left": "issue:6570", + "right": "issue:9112", + "accept": false, + "reason": "Different model families and code paths: SDXL InstructPix2Pix tensor mismatch versus Auraflow inference tensor mismatch." + }, + { + "left": "issue:10453", + "right": "issue:5465", + "accept": false, + "reason": "Batch-size limitation in Hunyuan Video and DiffEdit inpaint_strength restriction are unrelated pipeline behaviors." + }, + { + "left": "issue:12547", + "right": "issue:8514", + "accept": false, + "reason": "Missing required CLI argument for Flux Dreambooth fine-tuning is not the same as EMAModel causing parallel fine-tuning errors." + }, + { + "left": "issue:2091", + "right": "issue:4728", + "accept": false, + "reason": "Both involve checkpoint resume, but one is a multi-GPU resume bug and the other is an OOM during resume; not the same underlying issue." + }, + { + "left": "issue:11006", + "right": "issue:12034", + "accept": false, + "reason": "Both are Wan I2V reports, but one is broken output with a quantized transformer and the other is poor quality versus an official space." + }, + { + "left": "issue:10591", + "right": "issue:3354", + "accept": false, + "reason": "These are different LoRA training-script bugs: a general problem in the SD3 script versus an fp16 casting issue in another script." + }, + { + "left": "issue:1552", + "right": "issue:5619", + "accept": false, + "reason": "Attention slicing on SD2 and AutoencodeTiny LCM img2img encode are separate features with unrelated failure points." + }, + { + "left": "issue:1976", + "right": "issue:9044", + "accept": false, + "reason": "Both are model/file lookup errors, but they reference different missing files, different models, and likely different packaging issues." + }, + { + "left": "issue:3613", + "right": "issue:3774", + "accept": false, + "reason": "Both mention training memory, but one is Dreambooth OOM on torch 2.0 and the other is zero3 not saving memory in text-to-image training." + }, + { + "left": "issue:5259", + "right": "issue:8833", + "accept": false, + "reason": "Missing model_index.json versus missing config.json are similar loading symptoms, but they are not the same artifact or code path." + }, + { + "left": "issue:5054", + "right": "issue:5524", + "accept": false, + "reason": "Missing final_offload_hook and missing lora_layer are distinct attribute errors in different subsystems." + }, + { + "left": "issue:1552", + "right": "issue:2459", + "accept": false, + "reason": "Both involve attention optimizations, but attention slicing and xformers memory-efficient attention failing are not the same bug." + }, + { + "left": "issue:2668", + "right": "issue:4880", + "accept": false, + "reason": "Both are ControlNet-related, but one misroutes ControlNet image input and the other raises a validation TypeError for missing/invalid image input." + }, + { + "left": "issue:3454", + "right": "issue:4733", + "accept": false, + "reason": "These are different training-script failures: one says the script does not run on latest, the other is a checkpoint-resume optimizer state error." + }, + { + "left": "issue:746", + "right": "issue:8956", + "accept": false, + "reason": "These are different load failures in different backends/models: ONNX img2img revision loading versus OpenVINO StableDiffusionXL pipeline model loading." + }, + { + "left": "issue:6492", + "right": "issue:6815", + "accept": true, + "reason": "Both describe black-image output, and 6815 adds the likely root cause: invalid values during image cast to uint8. This looks like the same bug." + }, + { + "left": "issue:746", + "right": "issue:945", + "accept": false, + "reason": "Both concern loading/ONNX-related behavior, but they target different model-conversion scenarios and do not clearly share one bug." + }, + { + "left": "issue:4728", + "right": "issue:6536", + "accept": false, + "reason": "Both are training/OOM reports, but one is a checkpoint-resume OOM and the other is generic fine-tuning out-of-memory for UNet3DConditionModel." + }, + { + "left": "issue:6914", + "right": "issue:7766", + "accept": false, + "reason": "AttributeError from enable_model_cpu_offload breaking IP-Adapter-FaceID is a concrete bug; 7766 is a usage/question thread, not the same issue." + }, + { + "left": "issue:9200", + "right": "issue:9613", + "accept": false, + "reason": "These are both 0.30.x compatibility complaints, but one is a ControlNet dtype error and the other is a Timesteps.scale attribute error; different failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted overlap, issue:6492 with issue:6815, is well supported by the titles, and the other pair rejections do not overclaim shared bugs beyond vague surface 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": 57, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10150", + "issue:10180", + "issue:10421", + "issue:10712", + "issue:1100", + "issue:11148", + "issue:11865", + "issue:12535", + "issue:1310", + "issue:1709", + "issue:2132", + "issue:2459", + "issue:2578", + "issue:2904", + "issue:2947", + "issue:3032", + "issue:3565", + "issue:3582", + "issue:3661", + "issue:4086", + "issue:4103", + "issue:4255", + "issue:4368", + "issue:4648", + "issue:4701", + "issue:4923", + "issue:5125", + "issue:5474", + "issue:5524", + "issue:5794", + "issue:5884", + "issue:5897", + "issue:6028", + "issue:6218", + "issue:6610", + "issue:696", + "issue:7053", + "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:1709|issue:2904", + "issue:4648|issue:5794", + "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" + ], + "prepared_review_unit_hash": "0e30def0ff333ba406688f1a9a7a8b778d1c095d07c490610778bbf8b72d2dac", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34809, + "estimated_input_tokens": 8703, + "estimated_eval_tokens": 17662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of false-positive soft similarities across unrelated issues. The candidates share broad themes like pipelines, LoRAs, OOMs, or missing attributes, but not the same concrete bug or fix path. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "issue:10150 is the broadest umbrella-style report in the set: SDXL pipeline loading/inference slowness. It is the best representative issue if this cluster needs a single canonical issue, even though it is not a true duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10150 is the most general and central issue among the listed items, covering the broad performance theme better than the more specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1709", + "right": "issue:2904", + "accept": false, + "reason": "Both are pipeline errors, but one is an ONNX Tensor.astype mismatch and the other is an AudioLDM scheduler NoneType error; different code paths." + }, + { + "left": "issue:4648", + "right": "issue:5794", + "accept": false, + "reason": "Both mention missing config files during loading, but they affect different models/artifacts and are not the same load failure." + }, + { + "left": "issue:11148", + "right": "issue:12535", + "accept": false, + "reason": "Both involve LoRA/adapter loading, but one is a PEFT state-flag bug and the other is a Wan2.2 Lightning LoRA loading issue." + }, + { + "left": "issue:5125", + "right": "issue:5897", + "accept": false, + "reason": "Both are runtime/CUDA-related, but one is an xformers kernel failure and the other is a device-placement mismatch during LoRA training." + }, + { + "left": "issue:4923", + "right": "issue:7293", + "accept": false, + "reason": "Both are AudioLDM feature requests, but they ask for different extensions and do not describe the same change." + }, + { + "left": "issue:3565", + "right": "issue:4368", + "accept": false, + "reason": "Both concern OOM during training, but they are different training setups and not the same underlying memory bug." + }, + { + "left": "issue:4255", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers to WebUI quality, but one is a broad quality complaint and the other is about a specific image similarity workflow." + }, + { + "left": "issue:5884", + "right": "issue:7064", + "accept": false, + "reason": "Both are IP-Adapter support items, but one is a broad add-support request and the other is a narrow fix for SAG/panorama pipelines." + }, + { + "left": "issue:3661", + "right": "issue:4086", + "accept": false, + "reason": "Both involve model loading/training, but one is about from_ckpt on SD2.x weights and the other is about ControlNet training on SDXL 0.9." + }, + { + "left": "issue:10150", + "right": "issue:7357", + "accept": false, + "reason": "Both are SDXL performance complaints, but one is general slow loading/inference and the other is specifically slow inference despite compile/fuse_loras; not the same bug." + }, + { + "left": "issue:10712", + "right": "issue:7799", + "accept": false, + "reason": "Both report runtime errors, but one is about prompt_embeds in SD3 and the other is a matmul size mismatch with IP-Adapter in InstructPix2Pix." + }, + { + "left": "issue:10421", + "right": "issue:9673", + "accept": false, + "reason": "Both mention multi-GPU/multi-LoRA overhead, but one is a CPU memory leak when moving pipelines and the other is high CPU usage while loading multiple LoRAs." + }, + { + "left": "issue:1310", + "right": "issue:5474", + "accept": false, + "reason": "These are different pipeline ideas: one is K-Diffusion + Stable Diffusion, the other is a new reference-only pipeline feature request." + }, + { + "left": "issue:720", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different contexts and describe different failing operations." + }, + { + "left": "issue:2578", + "right": "issue:6218", + "accept": false, + "reason": "One is editable-install breakage and the other is a batch-seed pipeline bug; unrelated failures." + }, + { + "left": "issue:9051", + "right": "issue:9643", + "accept": false, + "reason": "Both concern Flux limitations, but one is batch inference and the other is multiple ControlNets; separate feature gaps." + }, + { + "left": "issue:11865", + "right": "issue:6610", + "accept": false, + "reason": "Both involve missing functionality around single-file loading, but one is a missing from_single_file attribute and the other is num_in_channels being ignored." + }, + { + "left": "issue:2947", + "right": "issue:5524", + "accept": false, + "reason": "Both relate to attention/LoRA loading, but one is a missing load_attn_procs attribute and the other is a missing lora_layer attribute on Linear." + }, + { + "left": "issue:6028", + "right": "issue:696", + "accept": false, + "reason": "Both are OOM reports, but they are separate models/workflows and not the same memory issue." + }, + { + "left": "issue:2459", + "right": "issue:3582", + "accept": false, + "reason": "Both say something doesn't work in training/inpaint workflows, but they are unrelated features with different failure modes." + }, + { + "left": "issue:4701", + "right": "issue:5897", + "accept": false, + "reason": "Both are CUDA/device-type problems, but one is a decoder backprop error at float32 and the other is a cross-device tensor placement issue in LoRA training." + }, + { + "left": "issue:10180", + "right": "issue:746", + "accept": false, + "reason": "Both mention loading behavior, but one is about multiple LoRAs with Flux Control LoRA and the other is an ONNX revision loading problem." + }, + { + "left": "issue:1100", + "right": "issue:3032", + "accept": false, + "reason": "Both are attribute errors in pipeline components, but they involve different missing attributes and different code paths." + }, + { + "left": "issue:2132", + "right": "issue:3032", + "accept": false, + "reason": "Both are attribute errors in examples/pipelines, but one is Accelerator.trackers and the other is a pipeline class missing from_pretrained." + }, + { + "left": "issue:4103", + "right": "issue:7053", + "accept": false, + "reason": "Both are model-behavior issues, but one is AutoencoderKL scaling_factor handling and the other is UNet3D class conditioning; unrelated 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": 58, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3802", + "issue:4213", + "issue:4307", + "issue:4368", + "issue:4566", + "issue:4728", + "issue:499", + "issue:539", + "issue:5798", + "issue:5897", + "issue:5917", + "issue:6028", + "issue:6094", + "issue:6176", + "issue:6218", + "issue:6689", + "issue:6956", + "issue:7057", + "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:9527", + "issue:9953" + ], + "soft_pairs": [ + "issue:3802|issue:7057", + "issue:4368|issue:4566", + "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" + ], + "prepared_review_unit_hash": "7e0ffae3caefff71bff55d6a6a26c70661f3cbf75cb76248f4a87075435de566", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34291, + "estimated_input_tokens": 8573, + "estimated_eval_tokens": 17402 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft edges look like false positives. The items span different pipelines, scripts, versions, and failure modes, so there is no clear duplicate cluster or mergeable pair.", + "confidence": 0.96, + "canonical_issue_reason": "No clear canonical issue: this set is heterogeneous and does not center on one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10180 is the closest thing to an anchor because it is a concrete, well-scoped Flux LoRA loading bug, but it still does not represent the rest of the set as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3802", + "right": "issue:7057", + "accept": false, + "reason": "Both mention checkpoints, but one is about a training argument not working and the other is a vague model checkpoint failure; different bugs." + }, + { + "left": "issue:4368", + "right": "issue:4566", + "accept": false, + "reason": "Both are SDXL LoRA training issues, but one is CUDA OOM and the other is checkpoint resume failure; not the same defect." + }, + { + "left": "issue:4728", + "right": "issue:7146", + "accept": false, + "reason": "Both involve OOM during SDXL training, but the contexts differ: resume_from_checkpoint on UNet fine-tuning vs a general SDXL fine-tuning OOM." + }, + { + "left": "issue:10518", + "right": "issue:7418", + "accept": false, + "reason": "Unrelated: one is a script problem in sd3_lora_colab, the other is a bug in a community upscale pipeline line." + }, + { + "left": "issue:1363", + "right": "issue:6176", + "accept": false, + "reason": "Different domains: ONNX scheduler error versus LoRA-weight loading after dreambooth training." + }, + { + "left": "issue:2941", + "right": "issue:3223", + "accept": false, + "reason": "Different failure modes: scheduler output quality issue versus RAM not being cleared after moving a pipeline to CUDA." + }, + { + "left": "issue:1263", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but they refer to different pipeline classes and different missing symbols." + }, + { + "left": "issue:10180", + "right": "issue:8956", + "accept": false, + "reason": "Different models and symptoms: Flux Control LoRA loading versus OVStableDiffusionXLPipeline model loading." + }, + { + "left": "issue:10612", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantization, but one is loading a LoRA into a quantized Flux Fill pipeline and the other is moving a pipeline with a quantized component to CUDA." + }, + { + "left": "issue:5897", + "right": "issue:7728", + "accept": false, + "reason": "Both are training-time errors, but the scripts and concrete device mismatch contexts differ; not the same bug." + }, + { + "left": "issue:12141", + "right": "issue:7666", + "accept": false, + "reason": "Unrelated: WanVACE VAE dtype incompatibility versus from_single_file custom pipeline loading." + }, + { + "left": "issue:7263", + "right": "issue:7931", + "accept": false, + "reason": "Both involve IP-Adapter, but they hit different pipelines and different parameter paths, so they are not the same issue." + }, + { + "left": "issue:4307", + "right": "issue:7591", + "accept": false, + "reason": "Both are loading-related, but one is from_pretrained(local_files_only=True) and the other is from_single_file(local_files_only=True); different code paths and errors." + }, + { + "left": "issue:6028", + "right": "issue:6956", + "accept": false, + "reason": "Both are CUDA OOM reports, but for different pipelines and environments; too broad to be duplicates." + }, + { + "left": "issue:1125", + "right": "issue:1896", + "accept": false, + "reason": "Different pipelines and different runtime errors; no shared underlying bug." + }, + { + "left": "issue:499", + "right": "issue:7589", + "accept": false, + "reason": "Different examples and different bug classes; not the same underlying change or defect." + }, + { + "left": "issue:4213", + "right": "issue:6218", + "accept": false, + "reason": "Different problems: from_single_file dependency behavior versus batched seeds handling in ControlNet/Img2Img." + }, + { + "left": "issue:539", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but they concern different APIs and call sites." + }, + { + "left": "issue:2363", + "right": "issue:6689", + "accept": false, + "reason": "One is a general question about converting LoRA files; the other is a specific SSD-1B conversion failure." + }, + { + "left": "issue:8228", + "right": "issue:8359", + "accept": false, + "reason": "Both are from_single_file issues, but one is a specific CLIPTextModel load failure while the other is a broader custom-checkpoint incompatibility." + }, + { + "left": "issue:2851", + "right": "issue:3700", + "accept": false, + "reason": "Completely different training features: push_to_hub on TPU versus min_snr argument support." + }, + { + "left": "issue:3221", + "right": "issue:7483", + "accept": false, + "reason": "Different workflows: load_attn_procs regression versus LoRA-to-Diffusers conversion for SDXL-based models." + }, + { + "left": "issue:5917", + "right": "issue:6094", + "accept": false, + "reason": "Both are version regressions, but they affect different conversion/pipeline code paths and are not the same bug." + }, + { + "left": "issue:2991", + "right": "issue:9527", + "accept": false, + "reason": "Related to ControlNet precision, but one is a mixed-precision example failure and the other is an explicit dtype mismatch between controlnet fp32 and main pipe bf16; not identical." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3537", + "issue:3585", + "issue:3802", + "issue:4213", + "issue:4368", + "issue:5128", + "issue:5465", + "issue:5798", + "issue:5846", + "issue:5857", + "issue:6092", + "issue:6159", + "issue:6218", + "issue:6230", + "issue:6382", + "issue:6602", + "issue:6741", + "issue:6858", + "issue:7229", + "issue:7263", + "issue:7483", + "issue:776", + "issue:7773", + "issue:7985", + "issue:8686", + "issue:9051", + "issue:9115", + "issue:9393", + "issue:9514", + "issue:9667", + "issue:9907", + "issue:993" + ], + "soft_pairs": [ + "issue:4213|issue:5857", + "issue:5465|issue:9051", + "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" + ], + "prepared_review_unit_hash": "1111e93d49dff33abe159346e6c22eb2a47ea48c69f62b3de36c33462537253e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33671, + "estimated_input_tokens": 8418, + "estimated_eval_tokens": 17092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of Diffusers issues; the proposed soft pairs are mostly superficial title matches rather than true duplicates. I do not see a single underlying bug/change that unifies the cluster.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the items span distinct bugs and features across Flux, ControlNet, schedulers, LoRA loading, batching, dtype, and conversion scripts. The soft pairs only share broad subsystem words, not the same concrete failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative because there is no single root cause or code path shared by the cluster. If forced, any choice would misrepresent several unrelated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4213", + "right": "issue:5857", + "accept": false, + "reason": "Both mention SDXL/LoRA-ish workflows, but one is about from_single_file() needing accelerate and the other about LCM LoRA behavior in AnimateDiff SDXL. Different failures and code paths." + }, + { + "left": "issue:5465", + "right": "issue:9051", + "accept": false, + "reason": "Both are batching-related pipeline bugs, but DiffEdit inpaint_strength handling and FluxPipeline batch inference are different concrete issues." + }, + { + "left": "issue:6382", + "right": "issue:6602", + "accept": false, + "reason": "Both involve LoRA/IP-adapter-style model loading errors, but one is an IP adapter key mismatch after training and the other is loading a saved model after fuse_lora(). Not the same bug." + }, + { + "left": "issue:5128", + "right": "issue:9667", + "accept": false, + "reason": "Both concern loading Flux/XLPipeline local weights, but one is a safetensors load error and the other is a Flux fp8 transformer file issue. Different symptom and likely fix." + }, + { + "left": "issue:10512", + "right": "issue:9514", + "accept": false, + "reason": "LoRA loading in Quanto/Flux vs loading LoRA after fp8 quantization are related only at a high level; the quantization stack and failure modes differ." + }, + { + "left": "issue:1931", + "right": "issue:993", + "accept": false, + "reason": "Both are dtype/float16 mismatch reports, but one is Stable Diffusion 2 half precision and the other is a generic fp16 mismatch. Too broad to merge as one bug." + }, + { + "left": "issue:776", + "right": "issue:7773", + "accept": false, + "reason": "Both are batch-size>1 regressions, but one is image-to-image and the other is Stable Video Diffusion generation. Different pipelines and likely causes." + }, + { + "left": "issue:7263", + "right": "issue:9115", + "accept": false, + "reason": "Both mention IP Adapter/AnimateDiff-ish features, but one is an attention_slicing incompatibility and the other is SDXL motion adapter usage. Not the same concrete issue." + }, + { + "left": "issue:170", + "right": "issue:5798", + "accept": false, + "reason": "Both are callback/step-argument compatibility problems, but one is legacy eta support and the other is callback_on_step_end on ControlNet. Different API breakages." + }, + { + "left": "issue:6218", + "right": "issue:8686", + "accept": false, + "reason": "Both involve SDXL ControlNet pipeline behavior, but one is batched seeds and the other is SDXLCFGCutoffCallback. Different feature bugs, not one root cause." + }, + { + "left": "issue:10026", + "right": "issue:9907", + "accept": false, + "reason": "Both mention Flux ControlNet training, but one is DeepSpeed memory not reducing and the other is maximum sequence length warnings. Different runtime problems." + }, + { + "left": "issue:1717", + "right": "issue:7483", + "accept": false, + "reason": "Offline model caching vs LoRA-to-Diffusers conversion on SDXL 1.0 are unrelated." + }, + { + "left": "issue:3015", + "right": "issue:3537", + "accept": false, + "reason": "These are both ControlNet conversion requests, but one is a diffusers-to-CompVis/WebUI conversion and the other asks for a generic conversion script. Overlapping topic, not the same change." + }, + { + "left": "issue:4368", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports during training, but one is SDXL LoRA training and the other is train_text_to_image_sdxl.py. Generic memory pressure, not a shared bug." + }, + { + "left": "issue:6858", + "right": "issue:7229", + "accept": false, + "reason": "ControlNet training attribute error versus checkpoint-saving issue in advanced training. Different code paths and failures." + }, + { + "left": "issue:10026", + "right": "issue:3802", + "accept": false, + "reason": "Flux ControlNet DeepSpeed memory issue and --checkpoints_total_limit not working are unrelated training problems." + }, + { + "left": "issue:1611", + "right": "issue:3585", + "accept": false, + "reason": "Both are model-loading/training failures in SD pipelines, but one is a pipeline regression with v1-5 and the other is a LoRA synthesis/use failure. No common root cause shown." + }, + { + "left": "issue:6092", + "right": "issue:9393", + "accept": false, + "reason": "Both are LoRA training problems, but one says the LoRA example does not train anything while the other says a Flux dreambooth LoRA cannot save. Different failures." + }, + { + "left": "issue:2163", + "right": "issue:5846", + "accept": false, + "reason": "Both involve training scripts and errors, but one is UNet dtype mismatch during text-to-image training and the other is a resume_from_checkpoint issue in SDXL LoRA. Not the same bug." + }, + { + "left": "issue:1398", + "right": "issue:1925", + "accept": false, + "reason": "Both relate to Stable Diffusion 2 on Apple Silicon/half precision, but one is MPS support and the other is inpainting fp16 behavior. Too broad to treat as duplicates." + }, + { + "left": "issue:1544", + "right": "issue:6741", + "accept": false, + "reason": "Scheduler API attribute error vs Diffusion DPO script missing no_flip argument. Different script/version issues." + }, + { + "left": "issue:10453", + "right": "issue:6159", + "accept": false, + "reason": "Both are pipeline support gaps, but one is Hunyuan Video batch size >1 and the other is SDXL ControlNet XSPipeline denoising_end support. Different pipelines and fixes." + }, + { + "left": "issue:10290", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile/Flux-related performance, but one is Flux ControlNet compilation failure and the other is IPAdapter compilation incompatibility. Not the same code path." + }, + { + "left": "issue:10266", + "right": "issue:10575", + "accept": false, + "reason": "Both are index-out-of-bounds style errors, but one is UniPC with FlowMatch and the other is DPMSolverMultistepScheduler. Different scheduler 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": 60, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10470", + "issue:10612", + "issue:10743", + "issue:10989", + "issue:11127", + "issue:1214", + "issue:1925", + "issue:1946", + "issue:2288", + "issue:2363", + "issue:2459", + "issue:2578", + "issue:2806", + "issue:2856", + "issue:2904", + "issue:3124", + "issue:3224", + "issue:3420", + "issue:3631", + "issue:3651", + "issue:3803", + "issue:4101", + "issue:4134", + "issue:4405", + "issue:4880", + "issue:5226", + "issue:5621", + "issue:5963", + "issue:6069", + "issue:6093", + "issue:6548", + "issue:7056", + "issue:7057", + "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:3124|issue:7057", + "issue:3631|issue:6548", + "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" + ], + "prepared_review_unit_hash": "0112d456267b49e7634e42d2fdc593744abf10f804715932271750f4e5faa6b7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34340, + "estimated_input_tokens": 8585, + "estimated_eval_tokens": 17426 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a loose Flux/diffusers similarity cluster rather than true duplicates. The best representative is the broad Flux LoRA loading failure report; most other issues are about different pipelines, precision modes, or unrelated training/conversion errors.", + "confidence": 0.72, + "canonical_issue_reason": "issue:9803 is the broadest and most representative Flux LoRA-loading failure report, and it aligns with the main recurring theme across the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9803 is the best global issue representative because it is open, recent, and phrased broadly enough to cover the quantized/Flux LoRA-loading variants without overfitting to one subcase.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3124", + "right": "issue:7057", + "accept": false, + "reason": "Both mention model conversion/loading failures, but one is a generic Stable Diffusion model conversion problem and the other is a checkpoint-specific issue; not the same bug." + }, + { + "left": "issue:3631", + "right": "issue:6548", + "accept": false, + "reason": "Both involve latents, but one is a generic inpainting exception and the other is a specific RGBA image-handling bug in prepare_latents; different failure paths." + }, + { + "left": "issue:7056", + "right": "issue:7146", + "accept": false, + "reason": "One is a LoRA fine-tuning/train_text_encoder error and the other is an SDXL OOM report; same area, different underlying problem." + }, + { + "left": "issue:2856", + "right": "issue:4101", + "accept": false, + "reason": "Both are conversion-related, but they target different model types and conversion flows (SD vs ControlNet)." + }, + { + "left": "issue:3651", + "right": "issue:3803", + "accept": false, + "reason": "Different multi-GPU training scripts and different reported symptoms; not the same concrete bug." + }, + { + "left": "issue:1214", + "right": "issue:2578", + "accept": false, + "reason": "Half-precision CLIP behavior and editable-install failure are unrelated." + }, + { + "left": "issue:7082", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but for different symbols and different modules; unrelated failures." + }, + { + "left": "issue:1946", + "right": "issue:8613", + "accept": false, + "reason": "CUDA/xformers runtime error versus data-column-driven OOM; no shared bug." + }, + { + "left": "issue:10026", + "right": "issue:10743", + "accept": false, + "reason": "Stage-3 memory reduction bug versus a request to support zero-3; related topic, but not the same change or defect." + }, + { + "left": "issue:5226", + "right": "issue:8686", + "accept": false, + "reason": "Different pipelines and different feature interactions; not the same underlying issue." + }, + { + "left": "issue:2363", + "right": "issue:2856", + "accept": false, + "reason": "Both concern conversion, but LoRA conversion and Stable Diffusion model conversion are distinct tasks." + }, + { + "left": "issue:2578", + "right": "issue:7589", + "accept": false, + "reason": "Editable install failure and GLIGEN pipeline failure are unrelated." + }, + { + "left": "issue:10470", + "right": "issue:11127", + "accept": false, + "reason": "TorchAO inference and a single-file Flux model loading problem are different bugs." + }, + { + "left": "issue:10612", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux LoRA-loading related, but 10612 is specifically NF4 quantized Flux Fill pipeline loading; too specific to safely treat as the same bug as the broad general failure report." + }, + { + "left": "issue:2806", + "right": "issue:2904", + "accept": false, + "reason": "Pipeline-printing customization and an AudioLDM scheduler NoneType error are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:5621", + "accept": false, + "reason": "Both involve ControlNet, but one is an MPS tensor mismatch and the other is encoder_hid_proj support; different issues." + }, + { + "left": "issue:10989", + "right": "issue:9514", + "accept": true, + "reason": "Both describe Flux LoRA loading failing under quantization, and they plausibly share the same loader/code-path defect." + }, + { + "left": "issue:2288", + "right": "issue:4405", + "accept": false, + "reason": "These are both example-script requests, but they are for different training scripts and different model families." + }, + { + "left": "issue:3224", + "right": "issue:6093", + "accept": false, + "reason": "Learning-rate scaling duplication and push_to_hub repo-creation behavior are unrelated training-script issues." + }, + { + "left": "issue:9089", + "right": "issue:9092", + "accept": false, + "reason": "Both mention FluxPipeline, but one is missing the class while the other lacks model_index.json; different setup/load failures." + }, + { + "left": "issue:7891", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-mismatch errors, but the specific contexts differ enough that they are not clearly the same bug." + }, + { + "left": "issue:5963", + "right": "issue:6069", + "accept": false, + "reason": "Kandinsky embed/prompt handling and a scheduler add_noise edge case are unrelated." + }, + { + "left": "issue:4880", + "right": "issue:8826", + "accept": false, + "reason": "ControlNet image input type error versus empty torch.cat tensor list are different runtime failures." + }, + { + "left": "issue:1925", + "right": "issue:817", + "accept": false, + "reason": "Both mention half precision, but they are different pipelines/scripts and not the same defect." + }, + { + "left": "issue:2459", + "right": "issue:3420", + "accept": false, + "reason": "xformers attention setup in a LoRA training script and a ControlNet inpaint pipeline compatibility issue are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The chosen representative issue is broad enough for the Flux LoRA-loading subset, and the single accepted soft pair is phrased cautiously as a plausible shared loader/code-path defect rather than a firm duplicate claim. No overstatement 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": 61, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10226", + "issue:10472", + "issue:10591", + "issue:10612", + "issue:11014", + "issue:11046", + "issue:11374", + "issue:11581", + "issue:12529", + "issue:12666", + "issue:13258", + "issue:2044", + "issue:2518", + "issue:2669", + "issue:2891", + "issue:3224", + "issue:3325", + "issue:3645", + "issue:4061", + "issue:4368", + "issue:4419", + "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:6112", + "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:4419|issue:6112", + "issue:2044|issue:5992", + "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" + ], + "prepared_review_unit_hash": "eebd36e65174c35c6fed23c8e7d4c7f74ef3f99b72702aa8c49eb176a47a79b3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34423, + "estimated_input_tokens": 8606, + "estimated_eval_tokens": 17468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft matches are mostly false positives: they share broad LoRA/pipeline/error vocabulary, but the concrete bugs, code paths, and model types differ. No pair looks safe to collapse as a duplicate or mergeable PR analogue.", + "confidence": 0.9, + "canonical_issue_reason": "No true canonical duplicate stands out; the set is too heterogeneous. If one issue must anchor the cluster, issue 11581 is the clearest self-contained bug report with a specific traceback and actionable scope.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11581 is the strongest representative because it has a precise failure mode, explicit exception text, and a focused Flux/IP-Adapter code path, making it the most useful single issue in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4419", + "right": "issue:6112", + "accept": false, + "reason": "Both mention SDXL output problems, but one is about offset noise not being used at inference and the other is generic turbo noise; different bug mechanisms." + }, + { + "left": "issue:2044", + "right": "issue:5992", + "accept": false, + "reason": "Both are AttributeError-type failures, but one is DDP lacking dtype and the other is a bool object lacking __module__; unrelated code paths." + }, + { + "left": "issue:2669", + "right": "issue:5992", + "accept": false, + "reason": "Different exception targets and symptoms; NoneType.replace versus bool.__module__ indicate separate defects." + }, + { + "left": "issue:10472", + "right": "issue:5224", + "accept": false, + "reason": "Both involve LoRA loading, but one is lora_bias kwarg handling and the other is StableDiffusionXLAdapterPipeline load_lora_weights shape behavior; not the same bug." + }, + { + "left": "issue:11374", + "right": "issue:6158", + "accept": false, + "reason": "Feature requests for different models/pipelines (SkyReels-V2 vs animatediff SDXL); not the same change." + }, + { + "left": "issue:12666", + "right": "issue:13258", + "accept": false, + "reason": "Both are about Wan2.2 video support, but one is a missing pipeline in a release and the other is a missing image-to-video model; different requests." + }, + { + "left": "issue:4061", + "right": "issue:5466", + "accept": false, + "reason": "Both are LoRA load errors, but SDXL load_lora error and image-to-image expected shape mismatch are distinct failure modes." + }, + { + "left": "issue:4932", + "right": "issue:771", + "accept": false, + "reason": "Dreambooth output file omission is unrelated to BF16 training support." + }, + { + "left": "issue:5226", + "right": "issue:6427", + "accept": false, + "reason": "AdapterPipeline load_lora_weights incompatibility is unrelated to diffusers-to-ckpt conversion." + }, + { + "left": "issue:7690", + "right": "issue:8956", + "accept": false, + "reason": "Tokenizer loading failure and OVStableDiffusionXLPipeline model loading failure are different loader issues." + }, + { + "left": "issue:8708", + "right": "issue:8726", + "accept": false, + "reason": "Both are SD3 dreambooth-related, but one is missing vae.shift_factor and the other is text encoder errors; separate bugs." + }, + { + "left": "issue:10226", + "right": "issue:12529", + "accept": false, + "reason": "Both report tensor size mismatches, but one is Dreambooth Flux with LoRA and the other is Wan2.2 tiled VAE; different models and code paths." + }, + { + "left": "issue:11046", + "right": "issue:11581", + "accept": false, + "reason": "Different pipelines and errors: complex Flux inpainting/controlnet/IP-adapter inference versus Flux IP-Adapter dtype constructor error." + }, + { + "left": "issue:5577", + "right": "issue:9505", + "accept": false, + "reason": "Both are key mismatches, but one is ControlNet single-file time_embed and the other is upscaler middle_block_out; unrelated checkpoints." + }, + { + "left": "issue:2891", + "right": "issue:6758", + "accept": false, + "reason": "One is docs/functionality mismatch for StableDiffusionUpscalePipeline embeds, the other is num_images_per_prompt unsupported in a different pipeline." + }, + { + "left": "issue:8465", + "right": "issue:8614", + "accept": false, + "reason": "Both mention missing config.json, but they target different loaders/models and are not the same artifact." + }, + { + "left": "issue:6158", + "right": "issue:7293", + "accept": false, + "reason": "Different feature requests for different pipelines/models; no shared concrete change." + }, + { + "left": "issue:3325", + "right": "issue:5894", + "accept": false, + "reason": "CUDA invalid argument during Dreambooth training is not the same as invalid buffer size runtime errors." + }, + { + "left": "issue:6082", + "right": "issue:7891", + "accept": false, + "reason": "Half/Float dtype mismatch versus CPU/CUDA device mismatch are distinct runtime errors." + }, + { + "left": "issue:4868", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors on different objects: super.__getattr__ versus Linear.lora_layer." + }, + { + "left": "issue:11014", + "right": "issue:4368", + "accept": false, + "reason": "Both involve memory pressure, but one is generic CUDA OOM and the other is SDXL LoRA training OOM; not the same specific bug." + }, + { + "left": "issue:10591", + "right": "issue:3224", + "accept": false, + "reason": "SD3 training script issues are unrelated to duplicated learning-rate scaling in a Dreambooth LoRA script." + }, + { + "left": "issue:2518", + "right": "issue:4756", + "accept": false, + "reason": "xformers support in unconditional image generation is unrelated to adding style-training support in SDXL Dreambooth examples." + }, + { + "left": "issue:10612", + "right": "issue:9667", + "accept": false, + "reason": "Flux Fill NF4 quantized LoRA loading error and local transformer_flux.py fp8 loading error are different Flux loader problems." + }, + { + "left": "issue:3645", + "right": "issue:5059", + "accept": false, + "reason": "ControlNet inpaint training help and SDXL multi-concept finetuning are different workflows, not one 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": 62, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10055", + "issue:1033", + "issue:10573", + "issue:10705", + "issue:10866", + "issue:11088", + "issue:11160", + "issue:11169", + "issue:1125", + "issue:11436", + "issue:12085", + "issue:12499", + "issue:13249", + "issue:1572", + "issue:1604", + "issue:234", + "issue:2459", + "issue:2819", + "issue:304", + "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:11088|issue:12085", + "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" + ], + "prepared_review_unit_hash": "d01afacd7494aa78fd21b5da7ccaa9713c7e743075ebf4336b6a702f8eccfc1c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34933, + "estimated_input_tokens": 8734, + "estimated_eval_tokens": 17724 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a noisy mix of unrelated diffusion/training/inference/import bugs. None of the soft pairs look like true duplicates of the same underlying issue, so I rejected all of them. The best representative issue is the broad Flux training report, but the cluster does not really form a tight duplicate set.", + "confidence": 0.39, + "canonical_issue_reason": "issue:9237 is the broadest and most central report here, with strong discussion activity and inbound references, and its title covers a recurring Flux training area better than the narrower reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9237 is the most suitable umbrella issue for this cluster because it is generic, well-discussed, and closest to the recurring training-related subset of items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11088", + "right": "issue:12085", + "accept": false, + "reason": "Both are gguf load errors, but they target different WAN model classes and lack evidence of the same failing code path." + }, + { + "left": "issue:4000", + "right": "issue:9044", + "accept": false, + "reason": "One is about converting an SD2 ckpt; the other is a missing file in the SDXL repo. Different problems entirely." + }, + { + "left": "issue:11436", + "right": "issue:4198", + "accept": false, + "reason": "Both mention dtype mismatch, but the model/pipeline context is different and there is no sign of the same bug." + }, + { + "left": "issue:6353", + "right": "issue:6697", + "accept": false, + "reason": "These are both SDXL-related, but one is a training example error and the other is CUDA OOM; not the same issue." + }, + { + "left": "issue:4104", + "right": "issue:9239", + "accept": false, + "reason": "Both mention black images, but the reports are too broad and do not show the same concrete code-path defect." + }, + { + "left": "issue:11169", + "right": "issue:7681", + "accept": false, + "reason": "These are distinct import failures with different underlying dependency problems." + }, + { + "left": "issue:1125", + "right": "issue:234", + "accept": false, + "reason": "Both are Stable Diffusion Mega-related, but one is an inpaint runtime error and the other is a half-precision failure." + }, + { + "left": "issue:10705", + "right": "issue:9895", + "accept": false, + "reason": "Inference slowdown and device-mismatch error are different symptoms with different root causes." + }, + { + "left": "issue:10573", + "right": "issue:8405", + "accept": false, + "reason": "Both involve multiple controlnets, but one is a padding_mask_crop limitation and the other is a tensor-size error." + }, + { + "left": "issue:10866", + "right": "issue:13249", + "accept": false, + "reason": "Different model families and different LoRA compatibility problems." + }, + { + "left": "issue:11160", + "right": "issue:12499", + "accept": false, + "reason": "Both are WAN I2V issues, but the reports point to different failures and versions, not a clearly shared bug." + }, + { + "left": "issue:1572", + "right": "issue:234", + "accept": false, + "reason": "Same general pipeline family, but one is img2img/inpainting support and the other is a half-precision runtime issue." + }, + { + "left": "issue:6107", + "right": "issue:6446", + "accept": false, + "reason": "An IP-Adapter EC2 deployment issue and an SD2-1 loading issue are unrelated." + }, + { + "left": "issue:3582", + "right": "issue:5447", + "accept": false, + "reason": "Both concern image-to-image/inpaint behavior, but the specific scheduler/strength failures differ." + }, + { + "left": "issue:10055", + "right": "issue:9501", + "accept": false, + "reason": "ControlNet SD3 training failure and Flux DreamBooth save delay are different training paths and failures." + }, + { + "left": "issue:7960", + "right": "issue:9630", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is generic SDXL training and the other is a specific flux-controlnet single-GPU-on-multi-GPU-server error." + }, + { + "left": "issue:304", + "right": "issue:7681", + "accept": false, + "reason": "A transformers import error and an OpenSSL-related import error are not the same bug." + }, + { + "left": "issue:5016", + "right": "issue:5563", + "accept": false, + "reason": "Related SDXL DreamBooth/LoRA area, but one is specifically about text encoder training and the other is a broader error report." + }, + { + "left": "issue:4118", + "right": "issue:6280", + "accept": false, + "reason": "Both mention missing from_single_file support, but on different classes and code paths." + }, + { + "left": "issue:1033", + "right": "issue:5749", + "accept": false, + "reason": "Both are index errors, but the affected pipelines and failure details are unrelated." + }, + { + "left": "issue:4557", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors in different components; not the same underlying defect." + }, + { + "left": "issue:9156", + "right": "issue:9237", + "accept": false, + "reason": "Both are Flux LoRA training reports, but one is CUDA OOM and the other is a broader training issue with different symptoms." + }, + { + "left": "issue:4229", + "right": "issue:7728", + "accept": false, + "reason": "Both involve training/accelerate, but the affected scripts and error contexts differ too much to merge as duplicates." + }, + { + "left": "issue:1604", + "right": "issue:2819", + "accept": false, + "reason": "A broken example file and a network download failure are unrelated." + }, + { + "left": "issue:2459", + "right": "issue:5619", + "accept": false, + "reason": "Different scripts and different failure modes; only a broad training/inference theme is shared." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2806", + "issue:3032", + "issue:3174", + "issue:3411", + "issue:3420", + "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:9902" + ], + "soft_pairs": [ + "issue:2806|issue:3420", + "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" + ], + "prepared_review_unit_hash": "715c63ec5d135ac9e40bcd8d4f9ec24b53ed36656a622e6bc0b9b279222b7583", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34240, + "estimated_input_tokens": 8560, + "estimated_eval_tokens": 17376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft pairs are false positives: they share generic error/pipeline keywords, but each issue points to a different model, feature, or failure mode. No duplicate cluster emerges, so there is no clear canonical issue or PR.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good representative; the set is too heterogeneous and the titles mostly overlap only on broad terms like dtype, training, or pipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2806", + "right": "issue:3420", + "accept": false, + "reason": "Both involve pipelines, but one is a printing/customization bug and the other is a ControlNet diffusion-pipeline incompatibility." + }, + { + "left": "issue:5510", + "right": "issue:720", + "accept": false, + "reason": "Both are dtype mismatch errors, but they affect different pipelines and have different input/bias mismatch directions." + }, + { + "left": "issue:3174", + "right": "issue:4398", + "accept": false, + "reason": "Both mention LoRA/DreamBooth, but one is a model-loading regression and the other is black-image output from a different SDXL workflow." + }, + { + "left": "issue:1572", + "right": "issue:6218", + "accept": false, + "reason": "These are separate pipeline bugs: one is img2img/inpainting support in stable_diffusion_mega, the other is batched seeds in ControlNet/img2img." + }, + { + "left": "issue:11117", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype errors, but they occur in different code paths and models: StableDiffusion3Pipeline vs Custom Diffusion." + }, + { + "left": "issue:1363", + "right": "issue:9527", + "accept": false, + "reason": "One is an ONNX long-prompt/LMS scheduler issue; the other is a ControlNet fp32/bf16 dtype mismatch." + }, + { + "left": "issue:1604", + "right": "issue:5577", + "accept": false, + "reason": "One breaks a long-prompt SD script on a specific diffusers version; the other is a ControlNet single-file conversion KeyError." + }, + { + "left": "issue:3411", + "right": "issue:5014", + "accept": false, + "reason": "One is a test for DreamBooth+LoRA training with text encoder enabled; the other is a user report about poor training results." + }, + { + "left": "issue:4256", + "right": "issue:6967", + "accept": false, + "reason": "Both are SDXL DreamBooth training reports, but one is a general training failure and the other is a prior-preservation shape mismatch." + }, + { + "left": "issue:12195", + "right": "issue:9902", + "accept": false, + "reason": "These are unrelated: a PyTorch custom_op compatibility failure versus a conda version pinning issue." + }, + { + "left": "issue:5447", + "right": "issue:5860", + "accept": false, + "reason": "One is a scheduler denoising_start bug in SDXL img2img; the other is a broader Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:3816", + "right": "issue:9180", + "accept": false, + "reason": "Different missing-attribute problems: transformers CLIPImageProcessor vs pipeline _execution_device." + }, + { + "left": "issue:6176", + "right": "issue:7347", + "accept": false, + "reason": "Both concern LoRA training/loading, but one is loading weights after DreamBooth-LoRA training and the other is a regression after an update." + }, + { + "left": "issue:487", + "right": "issue:7589", + "accept": false, + "reason": "A StableDiffusionPipeline M1 CPU problem is unrelated to a GLIGEN layout-to-image synthesis failure." + }, + { + "left": "issue:5678", + "right": "issue:6298", + "accept": false, + "reason": "One concerns higher-order autograd with scaled_dot_product_attention; the other is a CLIPImageProjection attribute error in GLIGEN." + }, + { + "left": "issue:3450", + "right": "issue:3574", + "accept": false, + "reason": "Both involve from_ckpt, but one is a dev-version regression and the other is a Windows-specific failure." + }, + { + "left": "issue:3660", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but they are different adapters/code paths: LoRA/xformers versus IPAdapter." + }, + { + "left": "issue:12157", + "right": "issue:2185", + "accept": false, + "reason": "A bnb quantization config parsing error is unrelated to missing config files for naive text-to-image training." + }, + { + "left": "issue:1875", + "right": "issue:1931", + "accept": false, + "reason": "Both are float16/float dtype mismatches, but they are distinct pipelines and error contexts, not one concrete bug." + }, + { + "left": "issue:13053", + "right": "issue:6158", + "accept": false, + "reason": "These are separate feature requests for different pipelines: Unipic 3.0 support vs SDXL support in animatediff." + }, + { + "left": "issue:1434", + "right": "issue:8613", + "accept": false, + "reason": "One is an upscale-pipeline OOM at larger sizes; the other is an OOM triggered by caption_column usage in training." + }, + { + "left": "issue:2616", + "right": "issue:3032", + "accept": false, + "reason": "One is a NoneType replace failure during LoRA attention saving; the other is a missing from_pretrained attribute on a ControlNet pipeline." + }, + { + "left": "issue:639", + "right": "issue:9516", + "accept": false, + "reason": "These are unrelated model-initialization and FLUX transformer-argument issues." + }, + { + "left": "issue:8729", + "right": "issue:9179", + "accept": false, + "reason": "Both are SDXL ControlNet training complaints, but one is about validation-image selection and the other about bad training results." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3348", + "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:7735", + "issue:7935", + "issue:7960", + "issue:8494", + "issue:9047", + "issue:9067", + "issue:9112", + "issue:9546", + "issue:9556", + "issue:9576", + "issue:9857" + ], + "soft_pairs": [ + "issue:3348|issue:9556", + "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" + ], + "prepared_review_unit_hash": "d959af8e30b50a4dbbf93c45a51626de6f2c6598b95b8ecb490b4a449e268186", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34392, + "estimated_input_tokens": 8598, + "estimated_eval_tokens": 17452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy and not a true duplicate set: the issues span unrelated diffusion pipelines, training scripts, model-loading errors, scheduler bugs, and device-specific failures. None of the soft edges look like the same underlying bug or change.", + "confidence": 0.91, + "canonical_issue_reason": "issue:11041 is the most concrete, well-scoped bug report in the set, with substantial discussion and an explicit failure mode, so it is the best anchor if one issue must represent this noisy cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11041 has the clearest reproduction and impact signal among the issues here; the others are either different subsystems or more generic follow-ups/examples rather than the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3348", + "right": "issue:9556", + "accept": false, + "reason": "Both concern LoRA-related behavior, but one is about xformers scale handling and the other about saved rslora models; different bugs and code paths." + }, + { + "left": "issue:5593", + "right": "issue:9576", + "accept": false, + "reason": "Both involve pipeline composition/loading, but one is AutoPipeline with ControlNet and the other is use_safetensors propagation; not the same defect." + }, + { + "left": "issue:5504", + "right": "issue:6894", + "accept": false, + "reason": "Both mention LoRA and xformers/A1111 compatibility, but they report different symptoms in different integrations and are not the same change request." + }, + { + "left": "issue:9112", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor-shape mismatch reports, but they affect different models/pipelines (Auraflow vs FLUX ControlNet) and different failing dimensions." + }, + { + "left": "issue:10026", + "right": "issue:7960", + "accept": false, + "reason": "Both mention multi-GPU training memory behavior, but one is Flux ControlNet DeepSpeed Stage-3 and the other is generic SDXL training; not one bug." + }, + { + "left": "issue:10010", + "right": "issue:10198", + "accept": false, + "reason": "One is a missing model_index.json for FLUX Fill example; the other is a Flux.1-dev weight mismatch. Different load/fetch failures." + }, + { + "left": "issue:12078", + "right": "issue:9546", + "accept": false, + "reason": "Both are Flux Controlnet training example issues, but one is bad validation input and the other is validation OOM; different underlying problems." + }, + { + "left": "issue:5075", + "right": "issue:5433", + "accept": false, + "reason": "Both involve prompt/scheduler-related SDXL behavior, but one is a shape mismatch with prompt embeddings and the other is visual artifacts with DPM++ schedulers; not the same bug." + }, + { + "left": "issue:12141", + "right": "issue:5619", + "accept": false, + "reason": "Both are VAE/encoding-related runtime failures, but one is WanVACE bfloat16/float16 incompatibility and the other is AutoencodeTiny image encoding in LCM img2img." + }, + { + "left": "issue:4724", + "right": "issue:5577", + "accept": false, + "reason": "One is SDXL img2img checkpoint behavior; the other is ControlNetModel.from_single_file key lookup. Different pipeline components and failure modes." + }, + { + "left": "issue:5012", + "right": "issue:7735", + "accept": false, + "reason": "Both are training-script usability issues, but one is LoRA text encoder training support and the other is an invalid dataset caption column name." + }, + { + "left": "issue:5246", + "right": "issue:9067", + "accept": false, + "reason": "Both are missing-module/attribute style import problems, but one is CLIPImageProjection availability and the other is a missing diffusers.hub_utils module." + }, + { + "left": "issue:579", + "right": "issue:7935", + "accept": false, + "reason": "Both are config/file-not-found loader errors, but they target different models and missing files (textual inversion config.json vs stable-diffusion-2-1 config.json)." + }, + { + "left": "issue:5475", + "right": "issue:5760", + "accept": false, + "reason": "These are entirely different projects/models: LaVie video generation vs DIFF-FOLEY video-to-audio synthesis." + }, + { + "left": "issue:6351", + "right": "issue:6610", + "accept": false, + "reason": "Both are SDXL training/loading issues, but one is DDP missing disable_adapters during LCM distillation and the other is from_single_file ignoring num_in_channels." + }, + { + "left": "issue:5374", + "right": "issue:8494", + "accept": false, + "reason": "One is an unexpected checkpoint_path argument error in a training script; the other is SD3 force_hooks support. Different APIs and code paths." + }, + { + "left": "issue:11041", + "right": "issue:11088", + "accept": false, + "reason": "Both are WAN2.1-related, but one is apply_group_offloading returning an error and the other is a transformer gguf load failure; distinct defects." + }, + { + "left": "issue:1572", + "right": "issue:3619", + "accept": false, + "reason": "Both are legacy pipeline feature bugs, but one concerns stable_diffusion_mega img2img/inpainting and the other CrossFrameAttention in Text2Video-Zero." + }, + { + "left": "issue:4256", + "right": "issue:7133", + "accept": false, + "reason": "Both are training-time issues, but one is SDXL Dreambooth and the other is resuming SDXL Dreambooth LoRA with text-encoder size mismatch; not the same bug." + }, + { + "left": "issue:2361", + "right": "issue:4728", + "accept": false, + "reason": "Both mention training/resume and memory, but one is checkpoint saving crash and the other is OOM when resuming UNet finetuning. Different failure points." + }, + { + "left": "issue:11907", + "right": "issue:9047", + "accept": false, + "reason": "Both are Flux inference compatibility problems, but one is scheduler support in the pipeline and the other is MPS device support; separate issues." + }, + { + "left": "issue:1988", + "right": "issue:4752", + "accept": false, + "reason": "Both are fp16/bf16 type-mismatch errors, but one occurs in the text-to-image trainer example and the other in pipeline_stable_diffusion_xl. Different call sites." + }, + { + "left": "issue:10712", + "right": "issue:1946", + "accept": false, + "reason": "Both are runtime errors during generation, but one is prompt_embeds in StableDiffusion3 and the other is xformers CUDA invalid argument; unrelated root causes." + }, + { + "left": "issue:1407", + "right": "issue:6869", + "accept": false, + "reason": "Both are ValueError-style pipeline issues, but one is an ONNX pipeline feature_extractor expectation and the other is export_to_video unpacking. 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": 65, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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: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:7333", + "issue:7483", + "issue:776", + "issue:7864", + "issue:8589", + "issue:8817", + "issue:8939", + "issue:8950", + "issue:9180", + "issue:9484", + "issue:9841", + "issue:9914", + "issue:9959" + ], + "soft_pairs": [ + "issue:7333|issue:7864", + "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" + ], + "prepared_review_unit_hash": "d69af19c9591d8a80c79a684948dbfc109d07d2e24bebef5ac374c53ce58244b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34488, + "estimated_input_tokens": 8622, + "estimated_eval_tokens": 17500 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated or only share a broad subsystem. The only clear duplicate-like pair is the Flux Xlabs LoRA loading error pair (#9914/#9959); the rest are distinct bugs or feature requests.", + "confidence": 0.58, + "canonical_issue_reason": "Issue #9914 is the best representative of the only strong duplicate pair: it is broader and more descriptive, while #9959 appears to be a narrower manifestation of the same Flux Xlabs LoRA-loading problem.", + "canonical_pr_reason": null, + "best_issue_reason": "#9914 is the clearest global issue to anchor the cluster because it names the concrete failure and includes a fix proposal, making it the most useful canonical issue among the provided items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7333", + "right": "issue:7864", + "accept": false, + "reason": "Both are video-generation paper/feature topics, but they describe different methods and problems, not the same bug or change." + }, + { + "left": "issue:6914", + "right": "issue:8817", + "accept": false, + "reason": "Both mention IP-Adapter FaceID, but #6914 is specifically an offload-related AttributeError while #8817 is a generic usage failure; not enough evidence of the same concrete code path." + }, + { + "left": "issue:1709", + "right": "issue:9180", + "accept": false, + "reason": "Different failures in different paths: ONNX img2img astype conversion vs pipeline missing _execution_device." + }, + { + "left": "issue:1070", + "right": "issue:1925", + "accept": false, + "reason": "Both concern inpainting, but one is a generic inpainting bug and the other is a half-precision issue; too different to merge as duplicates." + }, + { + "left": "issue:10738", + "right": "issue:11474", + "accept": false, + "reason": "Both are out-of-bounds errors, but the titles indicate different indices and likely different root causes." + }, + { + "left": "issue:10282", + "right": "issue:7003", + "accept": false, + "reason": "Both are tensor shape mismatches, but they affect different layers and dimensions, so they are not the same bug." + }, + { + "left": "issue:4925", + "right": "issue:5563", + "accept": false, + "reason": "Both involve training instability, but one is an OOM in distributed ControlNet SDXL training and the other is an SDXL DreamBooth LoRA error." + }, + { + "left": "issue:10689", + "right": "issue:5884", + "accept": false, + "reason": "Both are IP-Adapter support requests, but one is Flux-specific and the other is about ControlNet/T2I pipelines; they are different feature scopes." + }, + { + "left": "issue:7056", + "right": "issue:9841", + "accept": false, + "reason": "Different DreamBooth/LoRA training errors with different parameters and code paths." + }, + { + "left": "issue:8589", + "right": "issue:8950", + "accept": false, + "reason": "Same model family, but one is prior-preservation handling and the other is a LoRA training bug; not the same underlying issue." + }, + { + "left": "issue:2776", + "right": "issue:9484", + "accept": false, + "reason": "Different training setups and failures: 8GB DreamBooth/DeepSpeed vs Flux multigpu DreamBooth." + }, + { + "left": "issue:3497", + "right": "issue:5054", + "accept": false, + "reason": "Unrelated API/attribute issues in different pipelines." + }, + { + "left": "issue:11864", + "right": "issue:5661", + "accept": false, + "reason": "Different import/compile failures in different modules; no shared code path indicated." + }, + { + "left": "issue:10712", + "right": "issue:1363", + "accept": false, + "reason": "Different pipeline families and errors: SD3 prompt_embeds runtime error vs ONNX long-prompt/LMS scheduler issue." + }, + { + "left": "issue:1944", + "right": "issue:2250", + "accept": false, + "reason": "Both mention DreamBooth inference, but one is random outputs and the other is failure to generate; not clearly the same bug." + }, + { + "left": "issue:13043", + "right": "issue:4183", + "accept": false, + "reason": "Different problems: GPU kernel incompatibility vs guidance-scale behavior in ControlNet." + }, + { + "left": "issue:5522", + "right": "issue:6761", + "accept": false, + "reason": "Different unexpected-argument errors in different APIs." + }, + { + "left": "issue:5504", + "right": "issue:7483", + "accept": false, + "reason": "Different LoRA-related problems: xformers interaction vs SDXL base conversion script failure." + }, + { + "left": "issue:2036", + "right": "issue:8939", + "accept": false, + "reason": "Different model-loading failures for different model families and components." + }, + { + "left": "issue:11285", + "right": "issue:4000", + "accept": false, + "reason": "Both concern conversion, but they target different model versions and error descriptions; not clearly the same defect." + }, + { + "left": "issue:9914", + "right": "issue:9959", + "accept": true, + "reason": "Both describe the same Flux Xlabs LoRA loading failure; #9959 is a narrower manifestation in single_blocks of the broader error in #9914." + }, + { + "left": "issue:11585", + "right": "issue:490", + "accept": false, + "reason": "Generic poor results vs a memory-usage comparison; not the same bug." + }, + { + "left": "issue:228", + "right": "issue:776", + "accept": false, + "reason": "Broken release link and batch-size image-to-image failure are unrelated." + }, + { + "left": "issue:3152", + "right": "issue:5603", + "accept": false, + "reason": "Completely different import errors in different libraries." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The only accepted soft pair (#9914/#9959) is reasonably supported by the titles/body descriptions as the same Flux Xlabs LoRA-loading problem, and the rest of the pairs are appropriately rejected without 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": 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-50-3013", + "nodes": [ + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11585", + "issue:13274", + "issue:1335", + "issue:1552", + "issue:1883", + "issue:1946", + "issue:1976", + "issue:234", + "issue:2471", + "issue:3235", + "issue:3296", + "issue:3401", + "issue:3573", + "issue:3761", + "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:7589", + "issue:7666", + "issue:7708", + "issue:817", + "issue:8482", + "issue:859", + "issue:8686", + "issue:8805", + "issue:8885", + "issue:8887", + "issue:8956", + "issue:8989", + "issue:9101", + "issue:9179", + "issue:964", + "issue:9667", + "issue:9913", + "issue:9941" + ], + "soft_pairs": [ + "issue:3761|issue:8956", + "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" + ], + "prepared_review_unit_hash": "9cac7a00a66d80b3ca4a5c02bf77250fc6bdcb5b2419c50b5c3b2499183a6283", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34292, + "estimated_input_tokens": 8573, + "estimated_eval_tokens": 17402 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues with one strong duplicate pair around the `class_labels` / `num_class_embeds` error. The other soft matches are broad title similarities, not the same concrete bug.", + "confidence": 0.76, + "canonical_issue_reason": "Issue 3401 is the best canonical issue because it states the core bug generally (`class_labels should be provided when num_class_embeds > 0`), while 3573 is a narrower pipeline-specific report of the same error.", + "canonical_pr_reason": null, + "best_issue_reason": "3401 is the most suitable global issue to anchor the duplicate pair: it names the root condition directly and is broader than the local upscaler manifestation.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3761", + "right": "issue:8956", + "accept": false, + "reason": "Different failures: multi-community pipeline loading in one process vs a model load failure in OVStableDiffusionXLPipeline." + }, + { + "left": "issue:1335", + "right": "issue:859", + "accept": false, + "reason": "Both are init/signature errors, but they involve different missing/unsupported arguments and different pipeline classes." + }, + { + "left": "issue:1883", + "right": "issue:8482", + "accept": false, + "reason": "VAE gradient-checkpointing support vs a request for SD3 model support; not the same bug." + }, + { + "left": "issue:8887", + "right": "issue:9101", + "accept": false, + "reason": "One is a wrong VAE encode bug in SD3 training; the other is a feature/support request for a different SD3 training script." + }, + { + "left": "issue:234", + "right": "issue:2471", + "accept": false, + "reason": "Half-precision runtime problems and a size-specific Attend-and-Excite issue are unrelated." + }, + { + "left": "issue:11585", + "right": "issue:4186", + "accept": false, + "reason": "Generic Web UI dissatisfaction vs a specific SDXL inpaint/refiner failure." + }, + { + "left": "issue:1552", + "right": "issue:7666", + "accept": false, + "reason": "Attention slicing on SD2 and `from_single_file` custom pipeline loading are different code paths and symptoms." + }, + { + "left": "issue:11033", + "right": "issue:1976", + "accept": false, + "reason": "Both mention loading, but one is SD1.5 `from_single_file` UNet loading and the other is a tokenizer path lookup error." + }, + { + "left": "issue:1976", + "right": "issue:490", + "accept": false, + "reason": "Tokenizer config lookup error vs a memory-usage complaint; no shared underlying bug." + }, + { + "left": "issue:4000", + "right": "issue:7708", + "accept": false, + "reason": "Checkpoint conversion to diffusers format is not the same as an SDXL tokenizer config missing-file error." + }, + { + "left": "issue:4030", + "right": "issue:9941", + "accept": false, + "reason": "A v2.1 embedding runtime error and a generic Colab failure are too different to be duplicates." + }, + { + "left": "issue:3401", + "right": "issue:3573", + "accept": true, + "reason": "Same underlying bug: both report the `class_labels should be provided when num_class_embeds > 0` error; 3573 is just the local upscaler manifestation." + }, + { + "left": "issue:7589", + "right": "issue:8686", + "accept": false, + "reason": "GLIGEN layout-to-image failure and SDXL ControlNet callback issues are separate problems." + }, + { + "left": "issue:13274", + "right": "issue:8989", + "accept": false, + "reason": "Both involve Stable Audio, but one is an AMD recursion error and the other is a sequential offloading bug; different failure modes." + }, + { + "left": "issue:11464", + "right": "issue:4697", + "accept": false, + "reason": "Both are LoRA loading complaints, but they concern different models/pipelines and likely different fixes." + }, + { + "left": "issue:1946", + "right": "issue:4701", + "accept": false, + "reason": "Different CUDA issues: xformers invalid-argument vs AutoencoderKL float32 differentiation error." + }, + { + "left": "issue:3235", + "right": "issue:8885", + "accept": false, + "reason": "Custom Diffusion weight-loading failure vs a Colab dependency/modifier-token setup problem." + }, + { + "left": "issue:4304", + "right": "issue:6388", + "accept": false, + "reason": "SDXL LoRA training support request vs gradient-checkpointing being ignored; not the same bug." + }, + { + "left": "issue:5014", + "right": "issue:9179", + "accept": false, + "reason": "Generic bad training results in Web UI vs sdxl+controlnet training correctness; too broad and different." + }, + { + "left": "issue:8805", + "right": "issue:9913", + "accept": false, + "reason": "A conversion script regression and a `set_lora_device` behavior report are unrelated." + }, + { + "left": "issue:5798", + "right": "issue:859", + "accept": false, + "reason": "Unexpected callback kwarg vs unexpected device_map kwarg are different API incompatibilities." + }, + { + "left": "issue:817", + "right": "issue:964", + "accept": false, + "reason": "Mixed-precision dreambooth vs inpainting example failure; no shared code-path evidence." + }, + { + "left": "issue:11149", + "right": "issue:5798", + "accept": false, + "reason": "Different unexpected-keyword errors in unrelated APIs." + }, + { + "left": "issue:5488", + "right": "issue:7589", + "accept": false, + "reason": "Demo image generation failure and GLIGEN layout-to-image failure are not the same defect." + }, + { + "left": "issue:7267", + "right": "issue:9667", + "accept": false, + "reason": "Local data loading in ControlNet training vs Flux fp8 loading failure are distinct issues." + }, + { + "left": "issue:3296", + "right": "issue:7229", + "accept": false, + "reason": "Both mention checkpoints, but one is DreamBooth text-encoder save/load and the other is a broader advanced-training checkpoint issue; not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The one accepted duplicate, issue:3401 vs issue:3573, is well supported by the shared `class_labels should be provided when num_class_embeds > 0` error. 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": 67, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1070", + "issue:10712", + "issue:11285", + "issue:11853", + "issue:12003", + "issue:12009", + "issue:1249", + "issue:13043", + "issue:1305", + "issue:13298", + "issue:1556", + "issue:1604", + "issue:1616", + "issue:1672", + "issue:2420", + "issue:2459", + "issue:2775", + "issue:2871", + "issue:2904", + "issue:3124", + "issue:4137", + "issue:4183", + "issue:4213", + "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:7483", + "issue:7509", + "issue:771", + "issue:858", + "issue:8686", + "issue:8826", + "issue:9476", + "issue:9525", + "issue:969" + ], + "soft_pairs": [ + "issue:1604|issue:7483", + "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" + ], + "prepared_review_unit_hash": "44e609b81163eb9707edf748386e8995dfed5f70daa29ab1fa616d6fe8fae3e6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "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 noisy: several unrelated issue pairs share broad topic words, but only two pairs look like true duplicates or near-duplicates with the same concrete failure mode.", + "confidence": 0.91, + "canonical_issue_reason": "issue:12003 is the best representative because it states the exact meta-tensor copy failure in a broad form, and issue:12009 reads like a specific instance of that same loader error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12003 is the strongest cluster anchor among the clearly matching bug reports; it is concrete, reusable as the umbrella report, and maps cleanly onto its specific duplicate-like counterpart.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1604", + "right": "issue:7483", + "accept": false, + "reason": "Both involve conversion-related scripts, but they describe different breakages, different models, and different code paths." + }, + { + "left": "issue:13043", + "right": "issue:5606", + "accept": false, + "reason": "One is a CUDA kernel-image compatibility error on RTX 5090; the other is a LoRA alpha-loading bug. Not the same bug." + }, + { + "left": "issue:5606", + "right": "issue:9525", + "accept": false, + "reason": "Both mention LoRA, but one is about missing alpha handling and the other about lora_scale behavior in Flux. Different defects." + }, + { + "left": "issue:12003", + "right": "issue:12009", + "accept": true, + "reason": "Both report the same meta-tensor copy failure during model loading; 12009 is a concrete case of the exact error in 12003." + }, + { + "left": "issue:1305", + "right": "issue:7509", + "accept": false, + "reason": "These are different pipeline features with different goals; no shared bug or code-path failure is indicated." + }, + { + "left": "issue:13298", + "right": "issue:1556", + "accept": false, + "reason": "Both are CUDA/device-related, but one says the generator device being cuda breaks generation and the other says images are black with an NSFW warning. Too different." + }, + { + "left": "issue:490", + "right": "issue:6594", + "accept": false, + "reason": "Memory usage and a network download failure are unrelated failure modes." + }, + { + "left": "issue:4542", + "right": "issue:969", + "accept": false, + "reason": "Image-count behavior in SDXL img2img is unrelated to multi-GPU test failures." + }, + { + "left": "issue:2775", + "right": "issue:8826", + "accept": false, + "reason": "TorchDynamo on a non-function object and torch.cat on an empty list are unrelated runtime errors." + }, + { + "left": "issue:5524", + "right": "issue:858", + "accept": false, + "reason": "A missing lora_layer attribute in Wurstchen loading is unrelated to a named_children AttributeError on Parameter." + }, + { + "left": "issue:4389", + "right": "issue:7228", + "accept": false, + "reason": "ControlNet loading failure and traced-model dtype attribute failure are different bugs." + }, + { + "left": "issue:1070", + "right": "issue:2871", + "accept": false, + "reason": "Both concern inpainting, but one is a vague version-specific bug report and the other is a specific latent-output handling bug." + }, + { + "left": "issue:6280", + "right": "issue:6610", + "accept": false, + "reason": "Both involve from_single_file on SDXL variants, but one is a missing method and the other is an in_channels conversion issue. Different concrete problems." + }, + { + "left": "issue:6427", + "right": "issue:6964", + "accept": false, + "reason": "Model-format conversion and a 4-channel UNet ControlNet inpaint issue are not the same defect." + }, + { + "left": "issue:4137", + "right": "issue:4460", + "accept": false, + "reason": "Both compare diffusers to other Stable Diffusion implementations, but they concern different result-mismatch scenarios with no shared concrete bug." + }, + { + "left": "issue:4213", + "right": "issue:8686", + "accept": false, + "reason": "One is about from_single_file requiring accelerate; the other is a callback incompatibility with ControlNet. No duplicate evidence." + }, + { + "left": "issue:3124", + "right": "issue:771", + "accept": false, + "reason": "Model conversion failure and BF16 dreambooth support are unrelated." + }, + { + "left": "issue:11853", + "right": "issue:4183", + "accept": false, + "reason": "ControlNet/IP-Adapter loading conflict and guidance_scale<=1 error are different ControlNet problems." + }, + { + "left": "issue:11285", + "right": "issue:1672", + "accept": false, + "reason": "Both touch conversion utilities, but one is a value-error during conversion and the other is an output-size bug. Not the same issue." + }, + { + "left": "issue:1249", + "right": "issue:2904", + "accept": false, + "reason": "An OnnxPipeline device attribute error and an AudioLDM missing scheduler error are unrelated." + }, + { + "left": "issue:2420", + "right": "issue:2459", + "accept": true, + "reason": "These are effectively the same training-script xformers bug: both say enable_xformers_memory_efficient_attention does not work in train_text_to_image_lora.py." + }, + { + "left": "issue:6879", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different workflows with different triggers and code paths." + }, + { + "left": "issue:10712", + "right": "issue:6298", + "accept": false, + "reason": "StableDiffusion3 prompt_embeds runtime failure and GLIGEN CLIPImageProjection missing attribute are unrelated." + }, + { + "left": "issue:1616", + "right": "issue:5465", + "accept": false, + "reason": "LPW pipeline version compatibility and DiffEdit inpaint_strength handling are different pipeline bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the two accepted pairs are clearly supported by the issue titles, and the rejected pairs are not overstated beyond the evidence available. The canonical issue choice for 12003 over 12009 is also reasonable and well-justified." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1013", + "issue:1084", + "issue:11033", + "issue:11396", + "issue:1214", + "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:4340", + "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:9067", + "issue:9092", + "issue:9179", + "issue:9841", + "issue:9861" + ], + "soft_pairs": [ + "issue:4340|issue:9841", + "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" + ], + "prepared_review_unit_hash": "ee680fe862e8fc4464e11401e71b80eb17cdb9280957c1c1121cfddadd90a5a9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33569, + "estimated_input_tokens": 8393, + "estimated_eval_tokens": 17042 + }, + "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 bugs/features. I don\u2019t see any true duplicate pairs among the soft edges; most are only loosely similar by subsystem (conversion, LoRA, training, pipeline typing).", + "confidence": 0.9, + "canonical_issue_reason": "#6427 is the broadest, most general issue in the set around model conversion failures, so it is the best anchor if this cluster must be represented by one issue.", + "canonical_pr_reason": null, + "best_issue_reason": "#6427 is the strongest global issue candidate because it is concrete, widely applicable to nearby conversion/loading reports, and better suited as a triage anchor than the more niche or symptom-specific issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4340", + "right": "issue:9841", + "accept": false, + "reason": "Both are SDXL LoRA training problems, but they describe different failure modes and different code paths (`train_text_encoder` vs `use_dora=False`)." + }, + { + "left": "issue:1398", + "right": "issue:1931", + "accept": false, + "reason": "One is an MPS/Apple Silicon compatibility issue; the other is a float16 dtype mismatch. Same broad area, not the same bug." + }, + { + "left": "issue:11396", + "right": "issue:7283", + "accept": false, + "reason": "Both mention LoRA/model handling, but one is about converting a HiDream LoRA for ComfyUI and the other is about loading a Stable Cascade LoRA. Different tasks and model families." + }, + { + "left": "issue:1214", + "right": "issue:6427", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to diffusers-to-ckpt conversion failures." + }, + { + "left": "issue:1495", + "right": "issue:3140", + "accept": false, + "reason": "Different import errors affecting different symbols (`init_git_repo` vs `StableDiffusionControlNetPipeline`)." + }, + { + "left": "issue:1572", + "right": "issue:2806", + "accept": false, + "reason": "`stable_diffusion_mega` img2img/inpainting failure is unrelated to pipeline printing not honoring customized pipelines." + }, + { + "left": "issue:4925", + "right": "issue:9179", + "accept": false, + "reason": "Both involve SDXL ControlNet training, but one is an OOM/distributed-memory problem and the other is a bad-results/training-quality complaint." + }, + { + "left": "issue:639", + "right": "issue:7057", + "accept": false, + "reason": "Parameter initialization mismatch is not the same as a checkpoint loading failure." + }, + { + "left": "issue:5219", + "right": "issue:6584", + "accept": false, + "reason": "These are opposite-direction conversion/load problems on different models; not the same concrete bug." + }, + { + "left": "issue:1084", + "right": "issue:7293", + "accept": false, + "reason": "A docs request about multiple pipelines reusing weights is unrelated to an AudioLDM2 feature request." + }, + { + "left": "issue:2769", + "right": "issue:3045", + "accept": false, + "reason": "Both are conversion-related, but one is about round-tripping ckpt/safetensors through diffusers and the other is LoRA .safetensors to diffusers. Different workflows and likely different fixes." + }, + { + "left": "issue:3124", + "right": "issue:3619", + "accept": false, + "reason": "Model conversion failure and Text2Video-Zero CrossFrameAttention failure are unrelated." + }, + { + "left": "issue:4460", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers outputs to another implementation, but they are not the same specific discrepancy or code path." + }, + { + "left": "issue:7681", + "right": "issue:9067", + "accept": false, + "reason": "One is an OpenSSL/lib import failure; the other is a missing `diffusers.hub_utils` module. Different causes and fixes." + }, + { + "left": "issue:2875", + "right": "issue:7197", + "accept": false, + "reason": "Training loss NaN and resume-training KeyError are different training failures." + }, + { + "left": "issue:11033", + "right": "issue:499", + "accept": false, + "reason": "A broken `from_single_file` load for SD1.5 UNet is unrelated to the example unconditional training script." + }, + { + "left": "issue:4726", + "right": "issue:6699", + "accept": false, + "reason": "Both are type-hint complaints, but they target different callback parameters (`callback` vs `callback_on_step_end`) and are not the same bug." + }, + { + "left": "issue:2645", + "right": "issue:7466", + "accept": false, + "reason": "M1/CUDA assertion in ControlNet and torch.compile failure for SDXL multi-controlnet inpaint are different issues." + }, + { + "left": "issue:3348", + "right": "issue:9841", + "accept": false, + "reason": "LoRA scale behavior with xformers is unrelated to a DoRA-related TypeError in SDXL DreamBooth training." + }, + { + "left": "issue:3379", + "right": "issue:5016", + "accept": false, + "reason": "Both are DreamBooth-related, but one is about loading an intermediate checkpoint and the other is about training text encoders." + }, + { + "left": "issue:3803", + "right": "issue:9861", + "accept": false, + "reason": "Multi-GPU LoRA model sharing and Flux transformer not updating are different training bugs." + }, + { + "left": "issue:5578", + "right": "issue:9092", + "accept": false, + "reason": "Both mention `model_index.json`, but the contexts differ enough that they are not clearly the same underlying load bug." + }, + { + "left": "issue:4302", + "right": "issue:4885", + "accept": false, + "reason": "Both involve LoRA loading in SDXL, but one is a specific third-party SDXL LoRA weight-loading failure and the other is a ControlNet img2img pipeline not loading LoRA weights. Different concrete paths." + }, + { + "left": "issue:1013", + "right": "issue:4724", + "accept": false, + "reason": "StableDiffusionMegaPipeline breakage in Diffusers 6.0 is unrelated to an SDXL img2img mismatch with the base checkpoint." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1037", + "issue:10472", + "issue:10866", + "issue:11978", + "issue:1214", + "issue:12141", + "issue:122", + "issue:12535", + "issue:13035", + "issue:13043", + "issue:1463", + "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:4701", + "issue:4835", + "issue:4852", + "issue:487", + "issue:5125", + "issue:5227", + "issue:5798", + "issue:6362", + "issue:6964", + "issue:7483", + "issue:7660", + "issue:771", + "issue:7962", + "issue:8534", + "issue:8556", + "issue:8649", + "issue:9044", + "issue:9055", + "issue:955", + "issue:9576", + "issue:9911", + "issue:9914" + ], + "soft_pairs": [ + "issue:12141|issue:771", + "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" + ], + "prepared_review_unit_hash": "0f88e6547e1a861291b8f4fcfd82a9a5636a1d87c069f071e392de3c74c051ca", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "These items are not true duplicates; they span many unrelated bugs, feature requests, and model/pipeline-specific errors. The soft pairs mostly share only broad vocabulary like LoRA, ControlNet, precision, or import/runtime errors, not the same concrete code path.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out: the set is heterogeneous and the overlaps are only superficial.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong global best issue for deduping; the list does not form one coherent bug cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12141", + "right": "issue:771", + "accept": false, + "reason": "Both mention BF16/bfloat16, but one is a WanVACE VAE precision bug and the other is Dreambooth training; different code paths." + }, + { + "left": "issue:3497", + "right": "issue:3816", + "accept": false, + "reason": "An attribute error in an inpaint pipeline is unrelated to a missing transformers class import." + }, + { + "left": "issue:4183", + "right": "issue:9911", + "accept": false, + "reason": "Both involve ControlNet, but one is a guidance_scale edge case and the other is Flux multi-ControlNet layer-length mismatch." + }, + { + "left": "issue:4701", + "right": "issue:5125", + "accept": false, + "reason": "Both are CUDA errors, but they occur in different components: AutoencoderKL decoding vs XFormers attention processing." + }, + { + "left": "issue:8556", + "right": "issue:8649", + "accept": false, + "reason": "Both are SD3-related, but one is a meta-tensor copy failure and the other is a num_images_per_prompt regression." + }, + { + "left": "issue:1037", + "right": "issue:4080", + "accept": false, + "reason": "A community pipeline request and an SDXL inpainting pipeline request are different feature additions." + }, + { + "left": "issue:10866", + "right": "issue:12535", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they target different models and failure modes." + }, + { + "left": "issue:487", + "right": "issue:7660", + "accept": false, + "reason": "M1 CPU support for StableDiffusionPipeline is unrelated to a trace example not working." + }, + { + "left": "issue:4086", + "right": "issue:4279", + "accept": false, + "reason": "SDXL controlnet training and SDXL LoRA loading are distinct problems, not one concrete bug." + }, + { + "left": "issue:122", + "right": "issue:1463", + "accept": false, + "reason": "Missing 'exceptions' and missing 'datasets' are unrelated dependency/import errors." + }, + { + "left": "issue:7962", + "right": "issue:955", + "accept": false, + "reason": "Both ask for extra call arguments, but they request different parameters and different pipeline behavior." + }, + { + "left": "issue:13043", + "right": "issue:4835", + "accept": false, + "reason": "An attention-backend kernel compatibility issue is not the same as a MultiControlNetModel bug." + }, + { + "left": "issue:1214", + "right": "issue:6964", + "accept": false, + "reason": "Half-precision CLIPTextModel and 4-channel U-Net/VAE support are different precision/model-shape issues." + }, + { + "left": "issue:3224", + "right": "issue:8534", + "accept": false, + "reason": "Training-script weighting bugs, but one is duplicated LR scaling and the other is logit-normal weighting." + }, + { + "left": "issue:4852", + "right": "issue:9914", + "accept": false, + "reason": "Both involve LoRA loading, but one is generic loading and the other is a Flux/Xlabs-specific fix proposal." + }, + { + "left": "issue:3487", + "right": "issue:9576", + "accept": false, + "reason": "Different inference behavior with steps is unrelated to safetensors being passed to submodules." + }, + { + "left": "issue:7483", + "right": "issue:9044", + "accept": false, + "reason": "LoRA conversion for SDXL 1.0 base and a missing diffusion_pytorch_model.bin are separate loading/conversion issues." + }, + { + "left": "issue:1817", + "right": "issue:5798", + "accept": false, + "reason": "Unexpected scheduler arguments in Dreambooth and unexpected callback arguments in ControlNet are different API mismatches." + }, + { + "left": "issue:2774", + "right": "issue:3045", + "accept": false, + "reason": "Both are conversion scripts, but ControlNet-to-diffusers and LoRA-to-diffusers are different conversion paths." + }, + { + "left": "issue:11978", + "right": "issue:2830", + "accept": false, + "reason": "A new Bria pipeline request is unrelated to a question about using a ModelScope video model." + }, + { + "left": "issue:2973", + "right": "issue:3481", + "accept": false, + "reason": "Non-deterministic outputs from offload vs scheduler-dependent differences are not the same bug." + }, + { + "left": "issue:10472", + "right": "issue:6362", + "accept": false, + "reason": "A lora_bias constructor error during inference is unrelated to OOM while mapping a fine-tuning dataset." + }, + { + "left": "issue:4399", + "right": "issue:5227", + "accept": false, + "reason": "Both mention torch.compile, but one is compile plus CPU offload and the other is LoRA loading under compile." + }, + { + "left": "issue:13035", + "right": "issue:9055", + "accept": false, + "reason": "Different import errors involving different symbols from different packages; 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": 70, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:1572", + "issue:1842", + "issue:1905", + "issue:2276", + "issue:2578", + "issue:2984", + "issue:3152", + "issue:4210", + "issue:4324", + "issue:4368", + "issue:4492", + "issue:4520", + "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:7985", + "issue:8494", + "issue:858", + "issue:867", + "issue:9267", + "issue:9497", + "issue:9576", + "issue:9913" + ], + "soft_pairs": [ + "issue:1572|issue:4520", + "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" + ], + "prepared_review_unit_hash": "966697e66ab25c93edb4216f3c3855918a5a79019e0376f2031819bc87762688", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33913, + "estimated_input_tokens": 8479, + "estimated_eval_tokens": 17214 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous bug reports with only a couple of clear duplicate-like pairs. Most soft edges are false positives because they share a broad subsystem or error family, not the same concrete bug.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 5274 is the cleanest duplicate anchor: it describes a specific fp16/mixed_precision training mismatch, and 7801 is nearly the same report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5274 is the best representative issue overall because it is precise, reproducible, and has the strongest near-exact duplicate match in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1572", + "right": "issue:4520", + "accept": false, + "reason": "Same broad area (pipeline/training) but different bugs: img2img/inpainting support vs LoRA scale with attention slicing." + }, + { + "left": "issue:2578", + "right": "issue:499", + "accept": false, + "reason": "Unrelated failure modes: editable install problem vs unconditional training script issue." + }, + { + "left": "issue:1255", + "right": "issue:3152", + "accept": false, + "reason": "Different libraries and errors: diffusers scheduler import vs TensorFlow Lite import failure." + }, + { + "left": "issue:10382", + "right": "issue:9267", + "accept": false, + "reason": "Both are AttributeErrors, but on different objects/code paths: VAE forward return type vs missing rope attribute in Flux transformer." + }, + { + "left": "issue:6700", + "right": "issue:9576", + "accept": false, + "reason": "Both involve argument passing, but one is attention processor temb handling and the other is pipeline loading with use_safetensors." + }, + { + "left": "issue:10472", + "right": "issue:5028", + "accept": false, + "reason": "Both are unexpected-kwarg TypeErrors, but the kwargs and code paths differ (lora_bias vs scale)." + }, + { + "left": "issue:10848", + "right": "issue:5028", + "accept": false, + "reason": "Different loaders and parameters: load_model_dict_into_meta(device) vs a custom forward hook receiving scale." + }, + { + "left": "issue:2984", + "right": "issue:7731", + "accept": false, + "reason": "Both mention video generation, but they are different model/paper topics rather than the same bug." + }, + { + "left": "issue:10169", + "right": "issue:7708", + "accept": false, + "reason": "Both mention missing config.json, but the reports are too generic/specific mismatch to confirm the same underlying bug." + }, + { + "left": "issue:1905", + "right": "issue:867", + "accept": false, + "reason": "Both are memory-retention complaints, but one is a pipeline leak and the other is a FastAPI deployment context issue." + }, + { + "left": "issue:4932", + "right": "issue:730", + "accept": false, + "reason": "Different DreamBooth problems: missing output artifact vs training behavior differing by environment." + }, + { + "left": "issue:5274", + "right": "issue:7801", + "accept": true, + "reason": "Near-verbatim duplicate: both report mixed_precision/fp16 not matching the model dtype during training." + }, + { + "left": "issue:1500", + "right": "issue:1536", + "accept": true, + "reason": "Same lpw_stable_diffusion compatibility problem with newer diffusers versions." + }, + { + "left": "issue:4368", + "right": "issue:7114", + "accept": false, + "reason": "Both are OOM-related training reports, but they are different scripts and different failure contexts." + }, + { + "left": "issue:5125", + "right": "issue:5678", + "accept": false, + "reason": "Different failures in attention code: CUDA invalid configuration vs higher-order derivative issues with scaled_dot_product_attention." + }, + { + "left": "issue:1842", + "right": "issue:8494", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but they concern different kwargs and likely different call sites." + }, + { + "left": "issue:1534", + "right": "issue:2276", + "accept": false, + "reason": "DreamBooth notebook issue vs xformers install problem; not the same underlying bug." + }, + { + "left": "issue:771", + "right": "issue:9913", + "accept": false, + "reason": "Different topics: BF16 support in DreamBooth vs set_lora_device behavior." + }, + { + "left": "issue:10722", + "right": "issue:9497", + "accept": false, + "reason": "Both are DreamBooth training errors, but the tensor shape mismatch and mat2 1-D tensor error are distinct." + }, + { + "left": "issue:11864", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but the concrete failures differ: undefined torch in compiled encode vs IPAdapter incompatibility." + }, + { + "left": "issue:10869", + "right": "issue:12009", + "accept": false, + "reason": "Both mention meta tensors, but one is Tensor.item() on meta tensors and the other is copy-out during GGUF loading." + }, + { + "left": "issue:4210", + "right": "issue:4324", + "accept": false, + "reason": "Same UNet file, but different bugs: attention_mask usage question vs NoneType iteration error." + }, + { + "left": "issue:4492", + "right": "issue:5022", + "accept": false, + "reason": "Completely different import/name errors in unrelated packages and code paths." + }, + { + "left": "issue:12492", + "right": "issue:858", + "accept": false, + "reason": "Different AttributeErrors in different subsystems: transformers CLIPFeatureExtractor removal vs Parameter.named_children." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the two accepted soft-edge pairs are conservative and well-supported by the titles. The only clear duplicate-like pairs are indeed 5274\u21947801 and 1500\u21941536; the rest are appropriately rejected as broad similarity rather than the same concrete bug." + }, + "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-50-3013", + "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:5621", + "issue:5846", + "issue:5860", + "issue:5894", + "issue:6146", + "issue:6366", + "issue:6894", + "issue:746", + "issue:7483", + "issue:7690", + "issue:7931", + "issue:7985", + "issue:861", + "issue:8939", + "issue:9362", + "issue:9448", + "issue:9643", + "issue:9911", + "issue:9973" + ], + "soft_pairs": [ + "issue:7931|issue:9448", + "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" + ], + "prepared_review_unit_hash": "15d6b9c8705174b6ab25fc6931135cd714fc0bebec47f8ce364de246ed5378d0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34868, + "estimated_input_tokens": 8717, + "estimated_eval_tokens": 17690 + }, + "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 LoRA loading, FLUX/ControlNet, training/checkpointing, tokenizer/import failures, and model-specific runtime errors. None of the soft pairs look like the same concrete bug or change, so all are rejected as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": "No clear canonical issue: the items span several unrelated bug families rather than one duplicate thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3811 is the strongest representative of the only recurring theme here (`load_lora_weights`/LoRA loading) and has a clear, concrete symptom compared with the vaguer nearby reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7931", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter/controlnet inpainting, but the failures differ: one is about `ip_adapter_image_embeds` compatibility, the other is a tuple/shape error. Not the same bug." + }, + { + "left": "issue:5621", + "right": "issue:7483", + "accept": false, + "reason": "Different subjects and code paths: SDXL ControlNet `encoder_hid_proj` support vs LoRA-to-Diffusers conversion for SDXL-base models." + }, + { + "left": "issue:6366", + "right": "issue:6894", + "accept": false, + "reason": "Both concern LoRA checkpoints, but one is about resuming/loading saved checkpoints in training scripts and the other is about LoRA output not working in A1111. Not the same underlying issue." + }, + { + "left": "issue:11464", + "right": "issue:11581", + "accept": false, + "reason": "Both mention FLUX, but one is a LoRA load failure in `FluxControlPipeline` and the other is an IP-Adapter constructor dtype error. Different problems." + }, + { + "left": "issue:10650", + "right": "issue:5894", + "accept": false, + "reason": "Unrelated runtime errors in different contexts: a Lumina shape reshape failure vs an invalid buffer size error." + }, + { + "left": "issue:861", + "right": "issue:8939", + "accept": false, + "reason": "One is about converting ckpt to diffusers; the other is about loading a tokenizer for SD3. Different subsystems and failure modes." + }, + { + "left": "issue:10594", + "right": "issue:11922", + "accept": false, + "reason": "Both are FLUX-related, but one is about multiple controls with LoRA and the other is a FLUX Fill pipeline problem. Not the same concrete bug." + }, + { + "left": "issue:10940", + "right": "issue:122", + "accept": false, + "reason": "Completely different import failures: missing `triton.ops` vs missing `exceptions`." + }, + { + "left": "issue:10969", + "right": "issue:9911", + "accept": false, + "reason": "Both touch FLUX/controlnet multi-control scenarios, but one is a training-time `'weight' must be 2-D` failure and the other is an inference/setup error with different layer lengths. Not mergeable as one bug." + }, + { + "left": "issue:1985", + "right": "issue:4080", + "accept": false, + "reason": "Loading embeddings on Stable Diffusion vs adding an SDXL inpainting pipeline; unrelated." + }, + { + "left": "issue:259", + "right": "issue:2871", + "accept": false, + "reason": "Progress bar behavior is unrelated to latent output handling in inpainting." + }, + { + "left": "issue:2891", + "right": "issue:9643", + "accept": false, + "reason": "A docs/feature mismatch for StableDiffusionUpscalePipeline is unrelated to Flux multi-ControlNet support." + }, + { + "left": "issue:11464", + "right": "issue:4593", + "accept": false, + "reason": "Different LoRA-related failures: FluxControlPipeline load failure vs Automatic1111 LoRA rank constraint." + }, + { + "left": "issue:3565", + "right": "issue:5846", + "accept": false, + "reason": "Training OOM vs checkpoint resume error; different failure classes and code paths." + }, + { + "left": "issue:5006", + "right": "issue:9973", + "accept": false, + "reason": "Both are training issues, but one is end-of-training OOM and the other is FP16 gradient unscale failure. Not the same bug." + }, + { + "left": "issue:10154", + "right": "issue:3811", + "accept": false, + "reason": "Both mention `load_lora_weights`, but one reports an attribute error during loading while the other says the LoRA loads but has no effect. Same area, different concrete failure." + }, + { + "left": "issue:1552", + "right": "issue:5860", + "accept": false, + "reason": "Stable Diffusion 2 attention slicing is unrelated to tiny autoencoder + ControlNet pipeline failures." + }, + { + "left": "issue:746", + "right": "issue:7690", + "accept": false, + "reason": "ONNX revision loading vs tokenizer path resolution; different issues." + }, + { + "left": "issue:2480", + "right": "issue:5565", + "accept": false, + "reason": "Checkpoint folder creation in DreamBooth training is unrelated to the LoRA SDXL example script failing to run." + }, + { + "left": "issue:1720", + "right": "issue:2548", + "accept": false, + "reason": "Both are training-related, but one is M1 finetuning errors and the other is LoRA save errors. Not the same underlying defect." + }, + { + "left": "issue:5227", + "right": "issue:7985", + "accept": false, + "reason": "Both involve `torch.compile`, but one is LoRA loading and the other is IP-Adapter compatibility. Too broad to merge." + }, + { + "left": "issue:1604", + "right": "issue:3774", + "accept": false, + "reason": "Version-specific LPW script breakage is unrelated to zero3 training memory behavior." + }, + { + "left": "issue:2091", + "right": "issue:6146", + "accept": false, + "reason": "Both are checkpoint/multi-GPU training issues, but they affect different scripts and report 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": 72, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:5606", + "issue:5617", + "issue:5862", + "issue:5873", + "issue:6158", + "issue:6298", + "issue:6382", + "issue:639", + "issue:6607", + "issue:6996", + "issue:7185", + "issue:7228", + "issue:7276", + "issue:7418", + "issue:7483", + "issue:7485", + "issue:776", + "issue:7782", + "issue:9180", + "issue:9341" + ], + "soft_pairs": [ + "issue:5606|issue:7228", + "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" + ], + "prepared_review_unit_hash": "f756dd60a782333752f7a167b2d502b339ebe086912678784d0671cd4c011d16", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34253, + "estimated_input_tokens": 8564, + "estimated_eval_tokens": 17384 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated issues. The only plausible duplicate pair in the provided soft edges is the scheduler index-out-of-bounds case: issue:10266 and issue:11474. No PRs are present.", + "confidence": 0.68, + "canonical_issue_reason": "issue:10738 is the best canonical issue because it states the broadest recurring failure mode: a scheduler sigma/index out-of-bounds bug, which best covers the duplicate-looking scheduler reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10738 is the strongest global representative for the cluster\u2019s only clear bug family, since its title is the most general version of the out-of-bounds scheduler problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5606", + "right": "issue:7228", + "accept": false, + "reason": "Different bugs: LoRA alpha handling vs a traced pipeline missing dtype." + }, + { + "left": "issue:5455", + "right": "issue:7276", + "accept": false, + "reason": "Both are notebook failures, but the concrete problems differ: CalledProcessError vs network errors." + }, + { + "left": "issue:1974", + "right": "issue:2674", + "accept": false, + "reason": "Unrelated scheduler-generator reproducibility bug vs missing safetensors dependency." + }, + { + "left": "issue:4286", + "right": "issue:7483", + "accept": false, + "reason": "Both involve LoRA/SDXL, but one is loading LoRA weights and the other is a conversion script issue." + }, + { + "left": "issue:6996", + "right": "issue:7485", + "accept": false, + "reason": "Different code paths and symptoms: NoneType in added_cond_kwargs vs safety_checker callable handling." + }, + { + "left": "issue:11298", + "right": "issue:6382", + "accept": false, + "reason": "Both mention key errors, but one is LoRA hotswapping/PEFT and the other is IP-Adapter during SDXL training." + }, + { + "left": "issue:5227", + "right": "issue:5617", + "accept": false, + "reason": "Shared torch.compile context, but the failures are different enough to not be the same concrete bug." + }, + { + "left": "issue:11088", + "right": "issue:12009", + "accept": false, + "reason": "Both are Wan GGUF load issues, but they describe different load failures and likely different root causes." + }, + { + "left": "issue:10266", + "right": "issue:11474", + "accept": true, + "reason": "Both report scheduler-related index out-of-bounds errors and look like the same off-by-one/sigma indexing bug." + }, + { + "left": "issue:10512", + "right": "issue:9341", + "accept": false, + "reason": "Both are Flux LoRA load issues, but one is quantization-related and the other is a text_model LoRA compatibility problem." + }, + { + "left": "issue:10833", + "right": "issue:2995", + "accept": false, + "reason": "Both are matmul shape errors, but they occur in different pipelines and do not clearly share one root cause." + }, + { + "left": "issue:1100", + "right": "issue:9180", + "accept": false, + "reason": "Different attribute errors on different objects; no clear shared bug." + }, + { + "left": "issue:11218", + "right": "issue:13035", + "accept": false, + "reason": "Both are import errors, but for different missing symbols in unrelated modules." + }, + { + "left": "issue:11370", + "right": "issue:7782", + "accept": false, + "reason": "Different invalid-load-key failures on different conversion paths." + }, + { + "left": "issue:12414", + "right": "issue:4304", + "accept": false, + "reason": "A metrics-validation request is not the same as a feature request for SDXL LoRA support." + }, + { + "left": "issue:1264", + "right": "issue:6607", + "accept": false, + "reason": "Both mention scheduler settings, but they refer to different example scripts and different questions." + }, + { + "left": "issue:13067", + "right": "issue:6158", + "accept": false, + "reason": "Both are feature requests, but for different model/pipeline support and not the same change." + }, + { + "left": "issue:2871", + "right": "issue:776", + "accept": false, + "reason": "Different pipeline bugs: latent output handling vs batch-size behavior in img2img." + }, + { + "left": "issue:2880", + "right": "issue:639", + "accept": false, + "reason": "Completely different subjects: JAX Colab runtime failure vs latent diffusion parameter initialization." + }, + { + "left": "issue:3689", + "right": "issue:4630", + "accept": false, + "reason": "Both involve LoRA after loading, but unloading weights and modifying weights are distinct requests." + }, + { + "left": "issue:4073", + "right": "issue:6298", + "accept": false, + "reason": "Different component attribute errors in different pipelines." + }, + { + "left": "issue:5862", + "right": "issue:7185", + "accept": false, + "reason": "Gradient checkpointing support and PyTorch version compatibility are not the same issue." + }, + { + "left": "issue:5873", + "right": "issue:7418", + "accept": false, + "reason": "ONNX export limitation vs a community pipeline bug; unrelated failures." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Rejecting because one soft-edge verdict is not grounded in the packet: it discusses issue:10575 vs issue:10738, but that pair does not appear in the provided soft_pairs list. The rest of the judgments are mostly conservative, and the 10266\u201311474 acceptance is plausible, but the inclusion of a nonexistent pair makes the output imprecise." + }, + "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": 73, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:6382", + "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:9067", + "issue:9115", + "issue:9448", + "issue:945", + "issue:9497", + "issue:9501" + ], + "soft_pairs": [ + "issue:6382|issue:7799", + "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" + ], + "prepared_review_unit_hash": "5ab23896ffc83d5d08a8279a5d946454a69978a86e672698a5825fcaed7c6777", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 34182, + "estimated_input_tokens": 8546, + "estimated_eval_tokens": 17348 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a loose thematic collection rather than one duplicate cluster. The only strong near-duplicate is the SAG inpainting request pair (4312/6331); the rest differ by concrete model, pipeline, or failure mode.", + "confidence": 0.41, + "canonical_issue_reason": "issue:4312 is the best representative because it is the broader, clearer feature request and subsumes issue:6331's narrower SAG-inpainting ask.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4312 is the most suitable global issue representative among the near-related items; it is the only one that cleanly overlaps a soft duplicate candidate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:7799", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a training key error and the other is an inference matmul shape mismatch in a different pipeline." + }, + { + "left": "issue:7146", + "right": "issue:9115", + "accept": false, + "reason": "Different problems: SDXL fine-tuning OOM versus AnimateDiff-Lightning / motion-adapter usage error." + }, + { + "left": "issue:7168", + "right": "issue:7766", + "accept": false, + "reason": "One asks how to handle IP-Adapter image embeddings, the other is about FaceID Plus usage; same area, not the same issue." + }, + { + "left": "issue:7799", + "right": "issue:9448", + "accept": false, + "reason": "Both mention IP-Adapter, but the failing pipelines and concrete errors are different." + }, + { + "left": "issue:8307", + "right": "issue:9067", + "accept": false, + "reason": "Unrelated missing-symbol problems: StableCascadeUNet versus diffusers.hub_utils." + }, + { + "left": "issue:4312", + "right": "issue:6331", + "accept": true, + "reason": "Same underlying feature request: support SAG for inpainting; 4312 is just broader by also mentioning img2img." + }, + { + "left": "issue:4241", + "right": "issue:692", + "accept": false, + "reason": "Both are about fine-tuning help, but one is a specific LoRA/unidiffusers request while the other is a general example request." + }, + { + "left": "issue:338", + "right": "issue:339", + "accept": false, + "reason": "Different scheduler test requests (LMS Discrete vs Karras VE), so not the same change." + }, + { + "left": "issue:200", + "right": "issue:201", + "accept": false, + "reason": "Different test targets: resnet class versus attention class." + }, + { + "left": "issue:4241", + "right": "issue:7303", + "accept": false, + "reason": "Fine-tuning support request versus scheduler zero-SNR question; not the same underlying change." + }, + { + "left": "issue:4375", + "right": "issue:4399", + "accept": false, + "reason": "Both involve torch 2 compile, but one is a crash during inference and the other is CPU offload compatibility; distinct bugs." + }, + { + "left": "issue:3580", + "right": "issue:3593", + "accept": false, + "reason": "Both involve xformers, but the reported failures are different and not clearly the same code path." + }, + { + "left": "issue:201", + "right": "issue:202", + "accept": false, + "reason": "Different test additions for different components (attention vs unet_blocks)." + }, + { + "left": "issue:2272", + "right": "issue:945", + "accept": false, + "reason": "Both are ONNX conversion-related, but one is a conversion script failing and the other is custom checkpoint conversion support." + }, + { + "left": "issue:3970", + "right": "issue:4109", + "accept": false, + "reason": "Different SDXL/IP-Adapter issues: prompt embeddings versus inpaint pipeline failure." + }, + { + "left": "issue:8577", + "right": "issue:8813", + "accept": false, + "reason": "Same feature family (differential diffusion), but they target different models and are not the same concrete request." + }, + { + "left": "issue:8700", + "right": "issue:8710", + "accept": false, + "reason": "PAG support requests, but one is a specific SDXL ControlNet img2img pipeline and the other is generic SD1.5 support." + }, + { + "left": "issue:9497", + "right": "issue:9501", + "accept": false, + "reason": "Both are Dreambooth Flux training topics, but the errors are different: save latency versus mat2 shape runtime error." + }, + { + "left": "issue:2015", + "right": "issue:3728", + "accept": false, + "reason": "Different pipeline requests: categorical diffusion versus shifted diffusion text-to-image." + }, + { + "left": "issue:6549", + "right": "issue:6818", + "accept": false, + "reason": "Both involve IP-Adapter and LoRA, but one is a warning-log issue and the other is an unload/constructor error." + }, + { + "left": "issue:8667", + "right": "issue:8788", + "accept": false, + "reason": "Both mention non-power-of-two image sizes, but one is SD3ControlNetModel shape mismatch and the other is VAE tiling support." + }, + { + "left": "issue:2838", + "right": "issue:6423", + "accept": false, + "reason": "One asks about ControlNet pipeline behavior, the other is about reproducing fill50k results; unrelated." + }, + { + "left": "issue:2838", + "right": "issue:7303", + "accept": false, + "reason": "Different requests: ControlNet pipeline behavior versus zero-SNR scheduler creation." + }, + { + "left": "issue:10049", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but for different symbols and different code paths." + }, + { + "left": "issue:1962", + "right": "issue:3728", + "accept": false, + "reason": "Video generation with stable diffusion is unrelated to shifted diffusion text-to-image generation." + }, + { + "left": "issue:5227", + "right": "issue:6096", + "accept": false, + "reason": "Both are torch.compile issues, but they fail in different scenarios and are not the same bug." + }, + { + "left": "issue:6811", + "right": "issue:8655", + "accept": false, + "reason": "Same model family (i2vgen-xl), but one is a missing model_index URL and the other is black GIF output." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge decisions stay conservative. The only accepted pair, issue:4312 / issue:6331, is strongly supported by near-identical SAG inpainting requests, with 4312 clearly broader. The rejections generally cite concrete differences in model, pipeline, or failure mode rather than overstating duplicate 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": 74, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10049", + "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:8975", + "issue:9148", + "issue:9202", + "issue:993" + ], + "soft_pairs": [ + "issue:10049|issue:8975", + "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" + ], + "prepared_review_unit_hash": "cec09e213730f8fb06d5d4d43a552097200c1c8b9e32de04a17fdd1842f1337f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34437, + "estimated_input_tokens": 8610, + "estimated_eval_tokens": 17476 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly conservative duplicate triage overall. The main correction is to reject the scheduler.add_noise link between issues 6069 and 6232: they\u2019re related, but the evidence only shows similar failures in different scheduler classes and conditions, not the same bug. The stronger duplicate-like pairs remain the SDXL/DPM++ artifact reports and the from_single_file loading failures.", + "confidence": 0.72, + "canonical_issue_reason": "issue:5433 is the strongest canonical issue candidate because it is the clearest, most concrete SDXL/DPM++ bug report and best captures the underlying artifact/residual-noise failure family.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5433 is also the best overall issue to keep as the representative report: it is specific, reproducible, and broad enough to anchor the closely related residual-noise follow-up without overgeneralizing.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10049", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and different failure paths." + }, + { + "left": "issue:7931", + "right": "issue:9202", + "accept": false, + "reason": "Related IP-Adapter/SDXL area, but different pipelines and symptoms; not enough to call the same bug." + }, + { + "left": "issue:5433", + "right": "issue:5689", + "accept": true, + "reason": "Same concrete SDXL/DPM++ artifact/residual-noise problem, with nearly identical symptoms and scope." + }, + { + "left": "issue:4731", + "right": "issue:5227", + "accept": false, + "reason": "Both mention torch.compile, but the affected code paths are different: multi-ControlNet SDXL vs LoRA loading." + }, + { + "left": "issue:5314", + "right": "issue:9148", + "accept": false, + "reason": "These are distinct feature requests for different pipelines; only the broad inpainting theme overlaps." + }, + { + "left": "issue:8493", + "right": "issue:8723", + "accept": false, + "reason": "Different SD3 components fail in different ways: state_dict loading versus ControlNet initialization." + }, + { + "left": "issue:4185", + "right": "issue:4206", + "accept": false, + "reason": "Both touch ControlNet/SDXL, but one is black-image inference and the other is training breakage." + }, + { + "left": "issue:7690", + "right": "issue:7716", + "accept": false, + "reason": "Both are loading errors, but one is tokenizer resolution and the other is missing local config.json." + }, + { + "left": "issue:1572", + "right": "issue:337", + "accept": false, + "reason": "Related img2img/inpainting space, but the titles and described failures do not indicate the same bug." + }, + { + "left": "issue:3706", + "right": "issue:3728", + "accept": false, + "reason": "Different model/pipeline proposals; same general diffusion domain only." + }, + { + "left": "issue:3728", + "right": "issue:4779", + "accept": false, + "reason": "Both are new pipeline ideas, but for unrelated models and modalities." + }, + { + "left": "issue:6914", + "right": "issue:8827", + "accept": false, + "reason": "Both mention IP-Adapter-FaceID on SDXL, but the actual errors and contexts differ." + }, + { + "left": "issue:3094", + "right": "issue:3453", + "accept": false, + "reason": "Both are training failures, but OOM and unsupported BF16 kernel errors are different bugs." + }, + { + "left": "issue:10940", + "right": "issue:7681", + "accept": false, + "reason": "Unrelated import failures with different missing dependencies and root causes." + }, + { + "left": "issue:2984", + "right": "issue:7243", + "accept": false, + "reason": "Different feature requests with no concrete shared bug or change." + }, + { + "left": "issue:3432", + "right": "issue:7330", + "accept": false, + "reason": "Both are precision-related training/runtime errors, but they arise from different code paths and failure modes." + }, + { + "left": "issue:12412", + "right": "issue:13232", + "accept": false, + "reason": "Both are model support requests, but for different models and unrelated changes." + }, + { + "left": "issue:4305", + "right": "issue:4356", + "accept": false, + "reason": "A torch.compile graph break is not the same as a missing dummy module import." + }, + { + "left": "issue:1677", + "right": "issue:993", + "accept": false, + "reason": "Both mention dtype issues, but the specific symptoms and contexts are different." + }, + { + "left": "issue:4828", + "right": "issue:7209", + "accept": true, + "reason": "Both center on from_single_file loading failures and the same local/offline loading path." + }, + { + "left": "issue:4042", + "right": "issue:5314", + "accept": false, + "reason": "Closely related workflow area, but one asks how to combine features while the other requests a specific pipeline." + }, + { + "left": "issue:202", + "right": "issue:338", + "accept": false, + "reason": "Both are test tasks, but for different scheduler/file targets." + }, + { + "left": "issue:202", + "right": "issue:339", + "accept": false, + "reason": "Both are test tasks, but they cover different schedulers and are not the same work item." + }, + { + "left": "issue:8589", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training issues, but prior-preservation failure and 16GB training error are distinct problems." + }, + { + "left": "issue:2984", + "right": "issue:5889", + "accept": false, + "reason": "Different topics: a video diffusion model proposal versus Stable Video Diffusion." + }, + { + "left": "issue:6069", + "right": "issue:6232", + "accept": false, + "reason": "Related scheduler.add_noise failures, but the evidence points to different scheduler classes and different triggering conditions." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The output is mostly conservative, but one soft-edge accept is too strong: issue:6069 vs issue:6232. The packet only shows similar scheduler.add_noise failures in different scheduler classes and different triggering conditions; that is related, but not enough evidence to call them the same bug. The rest of the pair judgments look reasonably grounded, and the 5433/5689 and 4828/7209 links are plausible, but this overreach makes the overall result not fully acceptable." + }, + "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": 75, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10321", + "issue:1062", + "issue:1076", + "issue:10798", + "issue:10833", + "issue:11258", + "issue:1185", + "issue:12348", + "issue:12369", + "issue:12529", + "issue:13351", + "issue:1962", + "issue:2674", + "issue:3124", + "issue:3357", + "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:10798|issue:10833", + "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" + ], + "prepared_review_unit_hash": "2be969a866a441dee1831401d2f9e2b0f7f86d1e86e73fcd2330540d258d97d8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33158, + "estimated_input_tokens": 8290, + "estimated_eval_tokens": 16836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue reports with several false-positive text similarities. I only accept the Flux inpainting request pair as a true duplicate-like match; the rest look like different bugs or feature requests.", + "confidence": 0.81, + "canonical_issue_reason": "issue:9148 is the broader, more canonical Flux inpainting request; issue:9264 is just a rephrasing of the same feature ask.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9148 is the best issue representative because it is the clearest, broadest version of the only strong duplicate pair in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10798", + "right": "issue:10833", + "accept": false, + "reason": "Same broad Flux/bitsandbytes theme, but different concrete symptoms and pipelines; not clearly the same bug." + }, + { + "left": "issue:3638", + "right": "issue:3639", + "accept": false, + "reason": "Both are new-pipeline requests, but for different pipelines and different functionality." + }, + { + "left": "issue:8503", + "right": "issue:8839", + "accept": false, + "reason": "Both mention SD3, but one is gradient checkpointing crashes and the other is a LoRA weight error." + }, + { + "left": "issue:6149", + "right": "issue:6415", + "accept": false, + "reason": "Both involve IP-Adapter/FaceID areas, but one is a load error and the other is missing support." + }, + { + "left": "issue:7330", + "right": "issue:7646", + "accept": false, + "reason": "Same training script, but unrelated problems: FP16 unscale error versus dataloader worker settings." + }, + { + "left": "issue:3357", + "right": "issue:5227", + "accept": false, + "reason": "Both touch torch.compile, but one is a Dynamo hasattr error and the other is a LoRA-loading failure under compile." + }, + { + "left": "issue:1076", + "right": "issue:1962", + "accept": false, + "reason": "Not the same issue; one is about stable-diffusion-v1-5 generally and the other is video generation with stable diffusion." + }, + { + "left": "issue:7799", + "right": "issue:9202", + "accept": false, + "reason": "Both are shape-mismatch reports, but they affect different pipelines and adapters with different code paths." + }, + { + "left": "issue:7219", + "right": "issue:9303", + "accept": false, + "reason": "Both are upscaler-related feature requests, but they ask for different additions." + }, + { + "left": "issue:3357", + "right": "issue:4731", + "accept": false, + "reason": "Both mention torch.compile, but they describe different failures in different scenarios." + }, + { + "left": "issue:9171", + "right": "issue:9332", + "accept": false, + "reason": "Both concern single-file/model loading, but one is a v_prediction regression and the other is loading the wrong weights." + }, + { + "left": "issue:12369", + "right": "issue:13351", + "accept": false, + "reason": "Different features: CineScale upscaling versus Fun Control / Flux ControlNet support." + }, + { + "left": "issue:9148", + "right": "issue:9264", + "accept": true, + "reason": "Both ask for the same Flux inpainting capability; 9148 is the broader canonical wording." + }, + { + "left": "issue:5628", + "right": "issue:5687", + "accept": false, + "reason": "Related Karras-sigma timestep issues, but the specific scheduler and failure mode differ." + }, + { + "left": "issue:4631", + "right": "issue:5075", + "accept": false, + "reason": "Both are runtime shape/compile errors, but they occur in different components with different causes." + }, + { + "left": "issue:6561", + "right": "issue:8827", + "accept": false, + "reason": "Both involve IP-Adapter FaceID, but one is a missing config file and the other is a generic usage error." + }, + { + "left": "issue:12348", + "right": "issue:12529", + "accept": false, + "reason": "Both are tensor-size mismatch reports, but they are on different Wan pipelines/versions and likely different bugs." + }, + { + "left": "issue:3698", + "right": "issue:4912", + "accept": false, + "reason": "Both are conversion requests, but one is inpainting-model conversion and the other is SDXL checkpoint conversion." + }, + { + "left": "issue:9025", + "right": "issue:9038", + "accept": false, + "reason": "Both are FlaxStableDiffusionPipeline questions, but one is about from_single_file on TPU and the other is prompt weighting." + }, + { + "left": "issue:2674", + "right": "issue:3124", + "accept": false, + "reason": "Both mention conversion/safetensors, but they are different problems with different missing pieces." + }, + { + "left": "issue:10321", + "right": "issue:11258", + "accept": false, + "reason": "Both are single-file loading/model-file complaints, but the models and error conditions are different." + }, + { + "left": "issue:6794", + "right": "issue:7021", + "accept": false, + "reason": "Different import/environment issues: one is a specific training-utils import error, the other is HF_HOME import behavior." + }, + { + "left": "issue:7417", + "right": "issue:7569", + "accept": false, + "reason": "Both are Mac test failures, but they target different tests and likely unrelated code paths." + }, + { + "left": "issue:1062", + "right": "issue:1185", + "accept": false, + "reason": "Both mention Dreambooth reproducibility, but the reports are distinct and not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge verdicts stay conservative. The only accepted pair, issue:9148 vs issue:9264, is a reasonable duplicate-like match for Flux inpainting. The rest of the pairs are appropriately treated as similar but distinct bugs 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": 76, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10518", + "issue:10591", + "issue:10893", + "issue:1101", + "issue:11104", + "issue:11258", + "issue:11374", + "issue:2163", + "issue:2471", + "issue:2531", + "issue:2603", + "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:2163|issue:3565", + "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" + ], + "prepared_review_unit_hash": "bc8938b55d28108414e056db5f9bb4d923114ed42b1f40d6f9b114d37cedd421", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33395, + "estimated_input_tokens": 8349, + "estimated_eval_tokens": 16954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose similarity bucket of unrelated issues. Only a few pairs look like true duplicates or near-duplicates around the same concrete bug/feature request; the rest are broader topic overlaps only.", + "confidence": 0.41, + "canonical_issue_reason": "issue:4263 is the clearest representative of a real duplicate set: it is the broader, more canonical description of the LoRA unloading bug, and issue:4178 looks like a specific xformers-related manifestation of the same failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4263 is the best overall issue to anchor the cluster because it states the underlying bug most generically and has the stronger discussion signal among the clearly related items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2163", + "right": "issue:3565", + "accept": false, + "reason": "Both are training-example problems, but one is a dtype mismatch and the other is OOM; different failure modes." + }, + { + "left": "issue:10893", + "right": "issue:11374", + "accept": false, + "reason": "Both are feature requests for model support, but for different models and different integrations." + }, + { + "left": "issue:3728", + "right": "issue:938", + "accept": false, + "reason": "Different requested pipelines: text-to-image shifted diffusion vs text-to-motion human motion diffusion." + }, + { + "left": "issue:5960", + "right": "issue:5997", + "accept": false, + "reason": "Different ControlNet SDXL problems: a runtime warning in training vs a tokenizer/model type mismatch in the tutorial." + }, + { + "left": "issue:6224", + "right": "issue:7330", + "accept": false, + "reason": "Both are training issues, but one is TorchDynamo-related and the other is FP16 gradient unscale handling." + }, + { + "left": "issue:4178", + "right": "issue:4263", + "accept": true, + "reason": "Same underlying LoRA unloading bug; 4178 is a specific xformers symptom of the broader broken-unloading issue." + }, + { + "left": "issue:10518", + "right": "issue:10591", + "accept": true, + "reason": "Near-identical SD3 LoRA training-script bug reports with the same vague failure description." + }, + { + "left": "issue:3565", + "right": "issue:3774", + "accept": false, + "reason": "Both mention memory, but one is plain OOM in text-to-image and the other is a zero3/DeepSpeed memory-sharding complaint." + }, + { + "left": "issue:4704", + "right": "issue:6879", + "accept": false, + "reason": "Both concern Custom Diffusion, but the titles point to different bugs: generic failure vs a specific dtype mismatch." + }, + { + "left": "issue:8649", + "right": "issue:9443", + "accept": false, + "reason": "SD3 issues, but one is about num_images_per_prompt behavior and the other about tokenizer instantiation from slow version." + }, + { + "left": "issue:7147", + "right": "issue:9410", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes and different code paths." + }, + { + "left": "issue:4376", + "right": "issue:6183", + "accept": false, + "reason": "Different Stable Diffusion XL problems: textual inversion crash vs single-file shape mismatch." + }, + { + "left": "issue:11104", + "right": "issue:11258", + "accept": false, + "reason": "Both are LTX-Video related, but one is offload-method breakage and the other is a single-file loading topic." + }, + { + "left": "issue:3279", + "right": "issue:3454", + "accept": false, + "reason": "Both concern the same script family, but one is checkpoint resume and the other is a general latest-version regression." + }, + { + "left": "issue:10026", + "right": "issue:9665", + "accept": false, + "reason": "Both mention DeepSpeed/training, but they describe different problems and code paths." + }, + { + "left": "issue:2838", + "right": "issue:5017", + "accept": false, + "reason": "Both are ControlNet feature requests, but the requested change is not concrete enough to treat as the same bug/change." + }, + { + "left": "issue:2780", + "right": "issue:3700", + "accept": false, + "reason": "Different LoRA training-script issues: FP16 gradient scaling vs min_snr argument support." + }, + { + "left": "issue:5761", + "right": "issue:6091", + "accept": false, + "reason": "Both touch consistency decoder, but one is a cost/efficiency concern and the other is a size-argument memory issue." + }, + { + "left": "issue:2471", + "right": "issue:2603", + "accept": true, + "reason": "Same Attend-and-Excite size/shape limitation: both report failure away from the default square-image case." + }, + { + "left": "issue:1101", + "right": "issue:280", + "accept": false, + "reason": "Different scheduler feature requests: DPM-Solver vs DEIS." + }, + { + "left": "issue:2830", + "right": "issue:2883", + "accept": false, + "reason": "Both relate to video generation, but one asks about a specific model and the other requests a generic pipeline." + }, + { + "left": "issue:2531", + "right": "issue:3184", + "accept": false, + "reason": "Same community pipeline, but the bugs are different: meta-tensor offload failure vs generator-list handling." + }, + { + "left": "issue:4631", + "right": "issue:5399", + "accept": false, + "reason": "Unrelated concrete failures: scheduler scalar conversion error vs custom inpainting dtype mismatch." + }, + { + "left": "issue:9042", + "right": "issue:9551", + "accept": false, + "reason": "One requests a Flux pipeline; the other asks how to use Flux ControlNet models. Related topic, not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative overall. The three accepted soft edges are the only ones that read like strong duplicate/near-duplicate matches from titles alone, and the rejected pairs are framed cautiously with appropriate distinctions." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:228", + "issue:2689", + "issue:2722", + "issue:3382", + "issue:3406", + "issue:3453", + "issue:3468", + "issue:3694", + "issue:3728", + "issue:3826", + "issue:4305", + "issue:4427", + "issue:4686", + "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:7223", + "issue:8503", + "issue:8649", + "issue:8787", + "issue:8839", + "issue:9303", + "issue:9850", + "issue:9873" + ], + "soft_pairs": [ + "issue:228|issue:2689", + "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" + ], + "prepared_review_unit_hash": "24b328f685ae01fd63a257ac63480682619d2e51418ba1fc3c19658342dc837c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33036, + "estimated_input_tokens": 8259, + "estimated_eval_tokens": 16774 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue set. The only likely duplicate-like pair is the Wan2.2/Lightx2v LoRA reports; everything else looks like distinct bugs, features, or model-specific failures.", + "confidence": 0.79, + "canonical_issue_reason": "issue:12047 is the most concrete representative of the only likely duplicate pair, with a specific failing code path (Lightx2v LoRA fusion on Wan2.2 GGUF).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12047 is the best single issue anchor in this set because it is specific, reproducible, and likely overlaps with issue:12037 on the same Wan2.2/Lightx2v LoRA handling path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:228", + "right": "issue:2689", + "accept": false, + "reason": "Both are broken-link reports, but one is a specific release link and the other is a generic image link issue; not clearly the same underlying bug." + }, + { + "left": "issue:12037", + "right": "issue:12047", + "accept": true, + "reason": "Both report Wan2.2/Lightx2v LoRA failure on the same feature area; one is compatibility and the other is GGUF fusion, which plausibly share the same LoRA-handling bug." + }, + { + "left": "issue:201", + "right": "issue:3406", + "accept": false, + "reason": "Same broad subsystem, but one is a test for an attention class and the other is a behavior bug with only_cross_attention=True; not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:6561", + "accept": false, + "reason": "One is a feature request for face-model support; the other is a missing config.json loading error. Related area, but not the same defect." + }, + { + "left": "issue:10674", + "right": "issue:10797", + "accept": false, + "reason": "Different pipelines and different features (Flux GGUF vs HunyuanVideo group offloading); too little evidence they share one bug." + }, + { + "left": "issue:3382", + "right": "issue:3453", + "accept": false, + "reason": "Both are training failures, but the causes are unrelated: multi-GPU OOM versus BFloat16 triu/tril not implemented." + }, + { + "left": "issue:4305", + "right": "issue:6008", + "accept": false, + "reason": "Both mention regressions, but one is a torch.compile graph break and the other is IP-Adapter face failing with LCM LoRA; different code paths." + }, + { + "left": "issue:5061", + "right": "issue:5374", + "accept": false, + "reason": "Both are conversion-script errors, but they refer to different arguments and failure modes in different commands." + }, + { + "left": "issue:1594", + "right": "issue:1962", + "accept": false, + "reason": "Both are video-generation related, but one is an Img2Img request and the other is a general video generation feature request." + }, + { + "left": "issue:5219", + "right": "issue:6427", + "accept": false, + "reason": "Both concern conversion/loading, but they cover opposite directions and different formats (.safetensors load vs .ckpt conversion)." + }, + { + "left": "issue:8649", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 bugs, but one is num_images_per_prompt handling and the other is a LoRA weight error; not the same failure." + }, + { + "left": "issue:3728", + "right": "issue:7223", + "accept": false, + "reason": "Both are new pipeline proposals, but for different models and tasks." + }, + { + "left": "issue:8503", + "right": "issue:9850", + "accept": false, + "reason": "Both mention gradient checkpointing, but one is an SD3 crash and the other is a feature request for frozen models; not the same bug." + }, + { + "left": "issue:12358", + "right": "issue:9873", + "accept": false, + "reason": "Both are add-pipeline requests, but they target different models and have no shared bug or implementation." + }, + { + "left": "issue:10302", + "right": "issue:10914", + "accept": false, + "reason": "Both involve offloading behavior, but one is FP8 inference noise and the other is unintended CPU offloading; different problems." + }, + { + "left": "issue:3468", + "right": "issue:3694", + "accept": false, + "reason": "Both mention missing model_index/config files, but in different workflows (DreamBooth save vs text-to-image finetuning example)." + }, + { + "left": "issue:10334", + "right": "issue:11229", + "accept": false, + "reason": "Both have NaN/MPS symptoms, but they affect different models and triggers (Sana on MacOS vs SDXL with attention slicing)." + }, + { + "left": "issue:10462", + "right": "issue:9303", + "accept": false, + "reason": "Different feature requests for different models; no duplicate evidence." + }, + { + "left": "issue:3728", + "right": "issue:3826", + "accept": false, + "reason": "Both are pipeline ideas, but they are entirely different models/domains (text-to-image vs audio diffusion)." + }, + { + "left": "issue:4686", + "right": "issue:4874", + "accept": false, + "reason": "Same pipeline family, but one is a local from_pretrained load failure and the other is a low_res_scheduler bug; too specific to treat as one issue." + }, + { + "left": "issue:10150", + "right": "issue:8787", + "accept": false, + "reason": "Both mention slow loading, but one is SDXL loading/inference slowness and the other is a generic model-loading slowdown; not enough evidence of one root cause." + }, + { + "left": "issue:4731", + "right": "issue:6096", + "accept": false, + "reason": "Both are torch.compile failures, but for different models and different exception types; not the same concrete bug." + }, + { + "left": "issue:2722", + "right": "issue:671", + "accept": false, + "reason": "Both are conversion-quality reports, but one is a ControlNet UNet mismatch and the other is a general model identity issue after conversion; related but not the same defect." + }, + { + "left": "issue:4427", + "right": "issue:5108", + "accept": false, + "reason": "Both involve T2I Multiadapter, but one is an example not working and the other is XL-specific exceptions; not clearly the same code-path failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Assessment is grounded in the packet and stays conservative overall. The only accepted soft pair, issue:12037 vs issue:12047, is reasonably supported by their shared Wan 2.2 / Lightx2v LoRA context; the rest of the pairs are appropriately rejected with cautious reasoning. No obvious overstatement." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:7021", + "issue:7646", + "issue:8511", + "issue:8594", + "issue:9546", + "issue:9576", + "issue:9628", + "issue:9643", + "issue:9876" + ], + "soft_pairs": [ + "issue:4708|issue:7021", + "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" + ], + "prepared_review_unit_hash": "208a66f7d80aa26be886b53aaca63efb6b140a55730e008602fdb2ba9daa94fb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33341, + "estimated_input_tokens": 8336, + "estimated_eval_tokens": 16928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue reports clustered by token similarity. I found one clear duplicate pair around grayscale/single-channel image handling; the rest are distinct feature requests or different bugs, especially the Flux/Wan/LoRA items.", + "confidence": 0.78, + "canonical_issue_reason": "issue:488 is the broader canonical report for grayscale/single-channel image conversion failures; issue:1280 appears to be a specific DDPM instance of the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:488 is the clearest, most general bug report in the accepted duplicate pair and best represents the underlying grayscale/single-channel image problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4708", + "right": "issue:7021", + "accept": false, + "reason": "Both are import-related, but one is a diffusers.utils import error and the other is an HF_HOME import issue; different causes." + }, + { + "left": "issue:1280", + "right": "issue:488", + "accept": true, + "reason": "Both describe failures handling grayscale/single-channel images in diffusion pipeline code; same underlying bug." + }, + { + "left": "issue:12367", + "right": "issue:13065", + "accept": false, + "reason": "Both mention Qwen-Image, but one is a LoRA support request and the other is controlnet inpaint/canny support; different changes." + }, + { + "left": "issue:1594", + "right": "issue:2984", + "accept": false, + "reason": "Both are about video generation, but one asks for img2img and the other is a long-video model request; not the same feature." + }, + { + "left": "issue:1305", + "right": "issue:1350", + "accept": false, + "reason": "Completely different domains: direct inversion editing vs object detection." + }, + { + "left": "issue:4584", + "right": "issue:5849", + "accept": false, + "reason": "Same script family, but one is a resume_from_checkpoint error and the other is a missing args TypeError; different bugs." + }, + { + "left": "issue:5168", + "right": "issue:5284", + "accept": false, + "reason": "Both are ControlNet variants, but XS and LLLite are separate features with different implementations." + }, + { + "left": "issue:3728", + "right": "issue:5576", + "accept": false, + "reason": "Shifted Diffusion pipeline request versus FreeNoise scheduler request; distinct changes." + }, + { + "left": "issue:8511", + "right": "issue:9876", + "accept": false, + "reason": "Related to VRAM/memory cleanup, but 8511 is specifically about SD3 text encoder unloading while 9876 is a broader post-training VRAM question." + }, + { + "left": "issue:11182", + "right": "issue:9576", + "accept": false, + "reason": "One is an unnecessary BF16 download issue, the other is a safetensors parameter propagation bug; different paths." + }, + { + "left": "issue:4754", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion loading error versus multi-GPU training question; unrelated." + }, + { + "left": "issue:12037", + "right": "issue:12052", + "accept": false, + "reason": "Both involve Wan 2.2 and LightX2V, but one is a LoRA compatibility issue and the other is a device-mismatch/offloading bug." + }, + { + "left": "issue:10639", + "right": "issue:12412", + "accept": false, + "reason": "Two separate model-support requests for different architectures." + }, + { + "left": "issue:2596", + "right": "issue:4708", + "accept": false, + "reason": "Documentation mentions a missing helper, while the other is an import-time error; not the same bug." + }, + { + "left": "issue:3422", + "right": "issue:5623", + "accept": false, + "reason": "Both mention safety checker, but one is disabling it and the other is enhancing it; different changes." + }, + { + "left": "issue:8594", + "right": "issue:9628", + "accept": false, + "reason": "Different SD3 training failures: tokenizer initialization versus FP16 unscale error." + }, + { + "left": "issue:11010", + "right": "issue:11408", + "accept": false, + "reason": "A model-support request for Chroma/Flux versus a compiled-model adapter bug; unrelated." + }, + { + "left": "issue:3884", + "right": "issue:7646", + "accept": false, + "reason": "A training script runtime error versus a dataloader_num_workers usage question; not duplicates." + }, + { + "left": "issue:2132", + "right": "issue:4753", + "accept": false, + "reason": "Both are dreambooth script issues, but they report different errors in different contexts." + }, + { + "left": "issue:2390", + "right": "issue:3564", + "accept": false, + "reason": "Both are pipeline support requests, but T2I-Adapter and Uni-ControlNet are separate features." + }, + { + "left": "issue:10202", + "right": "issue:10594", + "accept": false, + "reason": "Both concern Flux/LoRA/control usage, but one is about unloading correctly and the other about multiple controls with LoRA; not clearly the same bug." + }, + { + "left": "issue:1082", + "right": "issue:2412", + "accept": false, + "reason": "Two unrelated dreambooth errors with different failure modes." + }, + { + "left": "issue:11363", + "right": "issue:9546", + "accept": false, + "reason": "Both mention ControlNet/Flux inference memory, but one is a validation-step OOM and the other is a general example OOM; not the same issue." + }, + { + "left": "issue:2412", + "right": "issue:6073", + "accept": false, + "reason": "Different dreambooth-related errors with no shared failure signature." + }, + { + "left": "issue:11010", + "right": "issue:9643", + "accept": false, + "reason": "One is about supporting a Flux-based model, the other about multiple ControlNets in Flux; different tasks." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Summary is grounded in the packet: it correctly identifies one plausible duplicate pair around grayscale/single-channel image handling and treats the rest as distinct, mostly feature-request or unrelated bug reports. The soft-edge verdicts 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": 79, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10321", + "issue:10460", + "issue:10760", + "issue:10925", + "issue:11024", + "issue:11104", + "issue:11432", + "issue:12221", + "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:6565", + "issue:6709", + "issue:6741", + "issue:7049", + "issue:7159", + "issue:7210", + "issue:7348", + "issue:7355", + "issue:7538", + "issue:8307", + "issue:861", + "issue:8939", + "issue:9209", + "issue:9223", + "issue:9237", + "issue:9370", + "issue:9448", + "issue:9551", + "issue:9971" + ], + "soft_pairs": [ + "issue:6565|issue:6741", + "issue:10321|issue:11104", + "issue:10460|issue:9370", + "issue:12221|issue:9551", + "issue:2321|issue:2466", + "issue:10760|issue:7210", + "issue:11024|issue:8307", + "issue:11432|issue:9971", + "issue:6069|issue:6527", + "issue:5227|issue:7159", + "issue:4993|issue:9223", + "issue:378|issue:579", + "issue:4704|issue:6709", + "issue:6520|issue:7538", + "issue:8939|issue:9209", + "issue:1574|issue:3613", + "issue:4852|issue:4911", + "issue:2177|issue:2728", + "issue:6162|issue:7355", + "issue:4837|issue:861", + "issue:6503|issue:6545", + "issue:7049|issue:9448", + "issue:10925|issue:9237", + "issue:5558|issue:7348" + ], + "prepared_review_unit_hash": "dc6fa4fea0d217e90cddf9071142fb68ab670efe61140f5192cf6f46a189b9c7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34474, + "estimated_input_tokens": 8619, + "estimated_eval_tokens": 17494 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated diffusers issues, with only a few weak sub-themes around training scripts, loading, IP-Adapter, ControlNet, and LTX-Video. None of the soft pairs look like true duplicates or the same concrete fix path.", + "confidence": 0.87, + "canonical_issue_reason": "issue:6503 is the closest thing to a hub: it is a tracker-style meta issue with broad training-script scope and the strongest inbound reference signal in this set, even though the cluster overall is heterogeneous.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6503 is the best representative of the cluster because it is broad, tracker-like, and central to the training/script subtheme; the rest of the items are mostly unrelated one-off bugs or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6565", + "right": "issue:6741", + "accept": false, + "reason": "Both are DPO training-related, but one is training instability/loss spikes and the other is a missing CLI arg in the train script; different bugs and code paths." + }, + { + "left": "issue:10321", + "right": "issue:11104", + "accept": false, + "reason": "Both mention LTX-Video, but one is a missing model file error and the other is offload-method breakage; not the same underlying defect." + }, + { + "left": "issue:10460", + "right": "issue:9370", + "accept": false, + "reason": "UNet2DModel API mismatch vs a missing pooled_projection argument in a different embedding module; unrelated components." + }, + { + "left": "issue:12221", + "right": "issue:9551", + "accept": false, + "reason": "One is a support/contribution request and the other is a usage question about x-labs flux controlnets; not a duplicate bug/change." + }, + { + "left": "issue:2321", + "right": "issue:2466", + "accept": false, + "reason": "EMA weight handling in inference vs checkpoint retention limits; different functionality and different failure modes." + }, + { + "left": "issue:10760", + "right": "issue:7210", + "accept": false, + "reason": "Import/export structure bug vs pipeline lacking named_parameters for dispatch; different subsystems and symptoms." + }, + { + "left": "issue:11024", + "right": "issue:8307", + "accept": false, + "reason": "SiglipImageProcessor .to() misuse in SD3 IP-Adapter code vs missing StableCascadeUNet export; not the same issue." + }, + { + "left": "issue:11432", + "right": "issue:9971", + "accept": false, + "reason": "from_pretrained dtype auto-loading bug vs DEIS scheduler behavior on FLUX; unrelated code paths." + }, + { + "left": "issue:6069", + "right": "issue:6527", + "accept": false, + "reason": "Both involve scheduler add_noise, but they are different scheduler classes with distinct edge cases; too different to merge." + }, + { + "left": "issue:5227", + "right": "issue:7159", + "accept": false, + "reason": "Both touch torch.compile and LoRA, but one is about loading LoRA weights and the other about fused LoRA inference; not the same concrete fix." + }, + { + "left": "issue:4993", + "right": "issue:9223", + "accept": false, + "reason": "Import structure export bug vs dependency version conflict; clearly unrelated." + }, + { + "left": "issue:378", + "right": "issue:579", + "accept": false, + "reason": "Both are textual inversion issues, but one is a class/distribution problem and the other is missing config.json; different root causes." + }, + { + "left": "issue:4704", + "right": "issue:6709", + "accept": false, + "reason": "Both are Custom Diffusion training issues, but they describe different failures and likely different fixes." + }, + { + "left": "issue:6520", + "right": "issue:7538", + "accept": false, + "reason": "Blank validation output in one training script vs a dataset/style-training problem; not the same bug." + }, + { + "left": "issue:8939", + "right": "issue:9209", + "accept": false, + "reason": "Tokenizer loading failure vs inability to reach hf-mirror.com; one is missing files, the other is network access." + }, + { + "left": "issue:1574", + "right": "issue:3613", + "accept": false, + "reason": "Both mention Dreambooth OOM on limited GPU, but the contexts differ enough that they do not look like one concrete underlying bug." + }, + { + "left": "issue:4852", + "right": "issue:4911", + "accept": false, + "reason": "LoRA loading error vs custom text_encoder loading in from_single_file; different model-loading paths." + }, + { + "left": "issue:2177", + "right": "issue:2728", + "accept": false, + "reason": "Cannot load AutoencoderKL vs cannot load safetensors for UNet2DConditionModel; different models and file formats." + }, + { + "left": "issue:6162", + "right": "issue:7355", + "accept": false, + "reason": "IP-Adapter SDXL shape mismatch vs Stable Cascade arbitrary-resolution/bfloat16 issue; different models and failure modes." + }, + { + "left": "issue:4837", + "right": "issue:861", + "accept": false, + "reason": "Both involve conversion to diffusers, but one is SDXL-specific and the other is a generic ckpt conversion failure; not the same bug." + }, + { + "left": "issue:6503", + "right": "issue:6545", + "accept": false, + "reason": "Both are training-script tracker items, but they target different maintenance efforts: torch.compile compatibility vs modularizing inference." + }, + { + "left": "issue:7049", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter example failures, but they hit different pipelines and different exceptions; not mergeable as one fix." + }, + { + "left": "issue:10925", + "right": "issue:9237", + "accept": false, + "reason": "Both concern FLUX Dreambooth, but one is CLIPTextModel-specific and the other is a broader LoRA training issue; too broad to treat as the same bug." + }, + { + "left": "issue:5558", + "right": "issue:7348", + "accept": false, + "reason": "Both involve ControlNet inpainting, but one is multi-ControlNet artifacts and the other is scheduler-related weird results; different root 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": 80, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10150", + "issue:10202", + "issue:10594", + "issue:11024", + "issue:11109", + "issue:11363", + "issue:11464", + "issue:11642", + "issue:12082", + "issue:12565", + "issue:12599", + "issue:12613", + "issue:12699", + "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: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:12613|issue:12699", + "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" + ], + "prepared_review_unit_hash": "9f75360332a2d5037f9577103681c970986566a3202fe63b0b884c7c3f071deb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33492, + "estimated_input_tokens": 8373, + "estimated_eval_tokens": 17002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous, but a visible subtheme is FLUX/LoRA/control issues. None of the soft pairs look like true duplicates; they mostly share a model family or broad subsystem rather than the same concrete bug.", + "confidence": 0.39, + "canonical_issue_reason": "issue:9525 is the cleanest representative of the FLUX/LoRA subtheme: it describes a concrete application bug ('lora_scale has no effect') that overlaps the nearby Flux/Lora/control reports better than the more generic or narrower items.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9525 is the best issue anchor for this set because it is specific, reproducible, and central to the repeated FLUX LoRA/loading behavior seen in several nearby issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12613", + "right": "issue:12699", + "accept": false, + "reason": "Both are Wan 2.2 video issues, but one is latent NaNs and the other is quality degradation with a lighting LoRA; different failure modes." + }, + { + "left": "issue:4305", + "right": "issue:7985", + "accept": false, + "reason": "One is a torch.compile graph break in Diffusers generally, the other is IPAdapter compile incompatibility; related area, not the same bug." + }, + { + "left": "issue:7049", + "right": "issue:8626", + "accept": false, + "reason": "Both involve IP Adapter usage, but one is a runtime unpacking error and the other is guidance for multiple images/masks; not the same code-path failure." + }, + { + "left": "issue:12082", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan-related, but one is VAE memory growth after compile and the other is a Wan2.1 i2v runtime issue; too different." + }, + { + "left": "issue:8828", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 training issues, but one is a 16GB training error and the other is an LoRA weight error; distinct problems." + }, + { + "left": "issue:10150", + "right": "issue:12599", + "accept": false, + "reason": "Both mention slowness, but one is SDXL pipeline loading/inference and the other is slow CUDA transfer after loading; not the same bug." + }, + { + "left": "issue:11642", + "right": "issue:9525", + "accept": false, + "reason": "Both are Flux prompt/LoRA related, but one is prompt_embeds_scale ineffectiveness in FluxPriorReduxPipeline and the other is lora_scale ineffectiveness in Flux; different mechanisms." + }, + { + "left": "issue:4303", + "right": "issue:4376", + "accept": false, + "reason": "Both are SDXL loading crashes, but one is a Flax pipeline crashing on SDXL load and the other is textual inversion loading crashing; different entry points." + }, + { + "left": "issue:11024", + "right": "issue:8182", + "accept": false, + "reason": "These are unrelated API mistakes: SiglipImageProcessor .to() vs Logger.warninging typo." + }, + { + "left": "issue:10202", + "right": "issue:11464", + "accept": false, + "reason": "Both are Flux control/LoRA issues, but one is unloading correctly and the other is loading a specific Canny LoRA into FluxControlPipeline; not the same defect." + }, + { + "left": "issue:1823", + "right": "issue:228", + "accept": false, + "reason": "Completely unrelated: swapped comments in depth2img versus a broken release link." + }, + { + "left": "issue:3019", + "right": "issue:3728", + "accept": false, + "reason": "Different feature requests for different pipelines (SAM editing vs Shifted Diffusion)." + }, + { + "left": "issue:8787", + "right": "issue:9525", + "accept": false, + "reason": "Both involve loading behavior, but one is general model-loading slowdown and the other is Flux LoRA scaling not applying; different issues." + }, + { + "left": "issue:11363", + "right": "issue:9732", + "accept": false, + "reason": "CUDA OOM in a ControlNet example versus OOM in SD3 flux training docs; same symptom class, different workflows and causes." + }, + { + "left": "issue:4492", + "right": "issue:8939", + "accept": false, + "reason": "Different tokenizer/config loading problems; one is a Python boolean typo, the other is a missing tokenizer path/files error." + }, + { + "left": "issue:1350", + "right": "issue:2984", + "accept": false, + "reason": "Both are research/model requests, but they are unrelated topics and not duplicate bugs." + }, + { + "left": "issue:6418", + "right": "issue:7773", + "accept": false, + "reason": "Both concern video generation quality, but one is identical first-frame outputs during finetuning and the other is a batch-size>1 generation bug." + }, + { + "left": "issue:6598", + "right": "issue:7142", + "accept": false, + "reason": "Different inference result mismatches in different pipelines/settings; not enough to be the same bug." + }, + { + "left": "issue:4194", + "right": "issue:4354", + "accept": false, + "reason": "Both are pipeline loading issues, but one is VAE selection from single file and the other is wrong pipeline type returned from from_single_file." + }, + { + "left": "issue:10594", + "right": "issue:11109", + "accept": false, + "reason": "Both involve FLUX with controls/LoRA, but one is multiple controls with LoRA on FLUX.1-dev and the other is a depth LoRA transformer layer mismatch; not the same concrete failure." + }, + { + "left": "issue:4061", + "right": "issue:4885", + "accept": false, + "reason": "Both are SDXL LoRA loading issues, but one is a generic load_lora error and the other is SDXL ControlNet img2img failing to load LoRA weights; different pipeline paths." + }, + { + "left": "issue:5412", + "right": "issue:6482", + "accept": false, + "reason": "Both are DreamBooth LoRA training resume failures, but the reported errors differ (checkpoint resume failure vs FP16 unscale ValueError)." + }, + { + "left": "issue:4141", + "right": "issue:4418", + "accept": false, + "reason": "Both are in control/inpaint pipelines, but one ignores a second controlnet and the other has denoising_start misbehavior; different bugs." + }, + { + "left": "issue:462", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS img2img issues, but one is release breakage and the other is num_images_per_prompt producing noise; 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": 81, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1005", + "issue:10596", + "issue:1061", + "issue:10673", + "issue:10674", + "issue:10795", + "issue:10833", + "issue:10914", + "issue:11023", + "issue:11143", + "issue:11258", + "issue:13043", + "issue:13298", + "issue:13484", + "issue:13487", + "issue:1367", + "issue:228", + "issue:2560", + "issue:3382", + "issue:3428", + "issue:3717", + "issue:3774", + "issue:4236", + "issue:4354", + "issue:4911", + "issue:5075", + "issue:5623", + "issue:5857", + "issue:5877", + "issue:5889", + "issue:5927", + "issue:6001", + "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:11143|issue:11258", + "issue:4354|issue:6001", + "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" + ], + "prepared_review_unit_hash": "83502f9949e1e45cb24af86229635f0d5e3eb0f7f9e446605c6caa05600552d3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33919, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only loosely related by subsystem or keyword overlap and should not be merged. The only clear duplicate-like pair is the SDXL `from_single_file` pipeline-type bug (issues 4354 and 6001).", + "confidence": 0.79, + "canonical_issue_reason": "Issue 4354 is the broader, more representative report of the `from_single_file` pipeline-type bug, and it cleanly covers the duplicate-style refiner/Inpaint pipeline mismatch described in 6001.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4354 is the best global issue candidate because it describes the underlying `from_single_file` pipeline class selection problem in a broader form than the narrower duplicate report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11143", + "right": "issue:11258", + "accept": false, + "reason": "Both are LTX-related, but one is about video quality and the other about single-file loading; different bugs." + }, + { + "left": "issue:4354", + "right": "issue:6001", + "accept": true, + "reason": "Both describe the same `from_single_file` bug returning the wrong SDXL pipeline class instead of the expected one." + }, + { + "left": "issue:4911", + "right": "issue:8435", + "accept": false, + "reason": "Both mention `from_single_file`, but one is specifically custom text encoder loading and the other is a generic runtime error; not enough evidence of the same bug." + }, + { + "left": "issue:2560", + "right": "issue:3428", + "accept": false, + "reason": "Both concern img2img behavior, but the reported symptoms and setup differ; these look like separate issues." + }, + { + "left": "issue:1005", + "right": "issue:1367", + "accept": false, + "reason": "One is about timestep limits, the other about saving scheduler config with custom betas; unrelated." + }, + { + "left": "issue:3382", + "right": "issue:7757", + "accept": false, + "reason": "Both are training OOM reports, but they affect different scripts and scenarios; not the same code-path problem." + }, + { + "left": "issue:5623", + "right": "issue:7363", + "accept": false, + "reason": "Both involve safety checker, but one is general enhanced functionality and the other is SDXL-specific; not the same bug/change." + }, + { + "left": "issue:5927", + "right": "issue:6243", + "accept": false, + "reason": "Both mention IP-Adapter, but the feature combinations and failures are different." + }, + { + "left": "issue:6574", + "right": "issue:7629", + "accept": false, + "reason": "One is a FutureWarning in SVD, the other is version-specific OOM in SVD; different problems." + }, + { + "left": "issue:13043", + "right": "issue:13298", + "accept": false, + "reason": "Both are CUDA/device-related, but one is an attention backend kernel compatibility issue and the other is a generator device behavior bug." + }, + { + "left": "issue:3717", + "right": "issue:3774", + "accept": false, + "reason": "Both are multi-GPU/ZeRO memory issues, but they describe different training problems." + }, + { + "left": "issue:7229", + "right": "issue:7728", + "accept": false, + "reason": "Checkpoint saving trouble and an Accelerate training error are related to training, but not the same underlying defect." + }, + { + "left": "issue:6252", + "right": "issue:6446", + "accept": false, + "reason": "One is LoRA weights not loading from checkpoint, the other is a model failing to load in Colab; different bugs." + }, + { + "left": "issue:5857", + "right": "issue:6008", + "accept": false, + "reason": "Both involve LCM LoRA, but the pipelines and failure modes differ enough that they should stay separate." + }, + { + "left": "issue:5889", + "right": "issue:7405", + "accept": false, + "reason": "Different video-model requests/issues; no shared concrete bug." + }, + { + "left": "issue:13484", + "right": "issue:13487", + "accept": false, + "reason": "Both are LoRA-loading failures, but one is Flux 2 dev FAL LoRAs and the other is a modular pipeline text_pipe failure; not the same report." + }, + { + "left": "issue:10674", + "right": "issue:9971", + "accept": false, + "reason": "Both are FLUX-related, but one is GGUF loading and the other is scheduler behavior; different code paths." + }, + { + "left": "issue:10914", + "right": "issue:11023", + "accept": false, + "reason": "One is unintended CPU offload, the other is blurred output in a custom SDXL pipeline; unrelated." + }, + { + "left": "issue:10596", + "right": "issue:10673", + "accept": false, + "reason": "Both are shape errors, but in different pipelines and likely different tensor reshaping bugs." + }, + { + "left": "issue:10833", + "right": "issue:8787", + "accept": false, + "reason": "Matrix-shape failure in FluxFill with bitsandbytes is unrelated to model-loading slowness." + }, + { + "left": "issue:10795", + "right": "issue:8518", + "accept": false, + "reason": "Both mention `torch.compile`, but they fail in different model/loading scenarios and on different unsupported ops." + }, + { + "left": "issue:5877", + "right": "issue:9664", + "accept": false, + "reason": "Both are subprocess failures in training scripts, but the scripts and underlying causes are not shown to be the same." + }, + { + "left": "issue:4236", + "right": "issue:5075", + "accept": false, + "reason": "Both involve SDXL refiner, but one is about missing text-encoder registration and the other is a prompt-embedding shape mismatch." + }, + { + "left": "issue:1061", + "right": "issue:228", + "accept": false, + "reason": "A documentation update request and a broken release link are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the ambiguous pairs. The only clearly supported duplicate-like match from the titles is issue 4354 with 6001 around `from_single_file` returning the wrong SDXL pipeline type." + }, + "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": 82, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10180", + "issue:10186", + "issue:10321", + "issue:10334", + "issue:10350", + "issue:10833", + "issue:10925", + "issue:11010", + "issue:11143", + "issue:11298", + "issue:11342", + "issue:11907", + "issue:12501", + "issue:1367", + "issue:1617", + "issue:1734", + "issue:2156", + "issue:2299", + "issue:2444", + "issue:2674", + "issue:3026", + "issue:3250", + "issue:3357", + "issue:3717", + "issue:4134", + "issue:4480", + "issue:4483", + "issue:4993", + "issue:5604", + "issue:5753", + "issue:5917", + "issue:5931", + "issue:6096", + "issue:6124", + "issue:6709", + "issue:6818", + "issue:6879", + "issue:7033", + "issue:7377", + "issue:7513", + "issue:7889", + "issue:8645", + "issue:8649", + "issue:9227", + "issue:9643", + "issue:9667", + "issue:993" + ], + "soft_pairs": [ + "issue:3026|issue:3717", + "issue:4483|issue:5931", + "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" + ], + "prepared_review_unit_hash": "24984bf3327c8871432947a4935385c93e5f66892f0340d44e55edd15d3c654a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "The cluster is heterogeneous with mostly superficial title similarity. I rejected all soft-edge pairs; the closest recurring theme is multi-LoRA/PEFT handling, but the concrete bugs differ. If forced to pick an anchor, issue 5604 is the broadest representative of that theme.", + "confidence": 0.77, + "canonical_issue_reason": "issue:5604 is the broadest multi-LoRA lifecycle problem in the set and is the most plausible umbrella anchor, even though the cluster is not a tight duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5604 best fits as a representative for the recurring LoRA-management subgroup because it is broader than the Flux-specific or PEFT-key-error reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3026", + "right": "issue:3717", + "accept": false, + "reason": "Different features and failure modes: instruct pix2pix launch error vs multi-GPU OOM." + }, + { + "left": "issue:4483", + "right": "issue:5931", + "accept": false, + "reason": "Both mention determinism, but one is SDXL generator non-determinism and the other is StableDiffusionPipeline non-determinism; no shared concrete bug." + }, + { + "left": "issue:6818", + "right": "issue:7033", + "accept": false, + "reason": "Unloading IP-Adapter pipeline error is unrelated to attention-masking warning logs." + }, + { + "left": "issue:7377", + "right": "issue:8649", + "accept": false, + "reason": "Both involve num_images_per_prompt, but they are different pipelines and likely different code paths." + }, + { + "left": "issue:11907", + "right": "issue:9643", + "accept": false, + "reason": "Both are Flux-related, but scheduler incompatibility is not the same as multiple-ControlNet support." + }, + { + "left": "issue:4134", + "right": "issue:4480", + "accept": false, + "reason": "Both are MPS-related, but one is a ControlNet tensor-shape mismatch and the other is a float16 kernel crash." + }, + { + "left": "issue:4993", + "right": "issue:5917", + "accept": false, + "reason": "Import-structure issue vs checkpoint-conversion failure; different subsystems." + }, + { + "left": "issue:6124", + "right": "issue:7513", + "accept": false, + "reason": "Different DreamBooth/LoRA training problems; no same concrete failure." + }, + { + "left": "issue:10334", + "right": "issue:11342", + "accept": false, + "reason": "Both mention MPS/Sana, but one is output corruption/NaNs and the other is a pipeline failure; not the same bug." + }, + { + "left": "issue:11010", + "right": "issue:9667", + "accept": false, + "reason": "Support for a Flux-derived architecture is unrelated to loading an fp8 Flux model from a local transformer file." + }, + { + "left": "issue:10350", + "right": "issue:12501", + "accept": false, + "reason": "VAE decoder memory usage and graph-break behavior are different issues." + }, + { + "left": "issue:10321", + "right": "issue:11143", + "accept": false, + "reason": "LTX-Video missing checkpoint files is unrelated to video quality complaints." + }, + { + "left": "issue:10180", + "right": "issue:11298", + "accept": false, + "reason": "Both are multi-LoRA problems, but one is Flux Control LoRA loading and the other is PEFT key errors during hotswap; not the same concrete bug." + }, + { + "left": "issue:3357", + "right": "issue:6096", + "accept": false, + "reason": "Both are torch.compile issues, but they fail on different operations and exceptions." + }, + { + "left": "issue:2674", + "right": "issue:5753", + "accept": false, + "reason": "Missing safetensors requirement is unrelated to SDXL ControlNet load_lora_weights failure." + }, + { + "left": "issue:1734", + "right": "issue:2156", + "accept": false, + "reason": "Both are training-performance/resource complaints, but one is multi-GPU slowdown and the other is CPU-only training." + }, + { + "left": "issue:2299", + "right": "issue:993", + "accept": false, + "reason": "Fine-tuned checkpoint support and fp16 dtype mismatch are different problems." + }, + { + "left": "issue:6709", + "right": "issue:6879", + "accept": false, + "reason": "Same Custom Diffusion area, but concept-list handling and dtype mismatch are distinct bugs." + }, + { + "left": "issue:2674", + "right": "issue:5604", + "accept": false, + "reason": "LoRA safetensors packaging and unfusing multiple LoRA are unrelated." + }, + { + "left": "issue:7889", + "right": "issue:8645", + "accept": false, + "reason": "Both touch single_file_utils.py, but the missing helper function and checkpoint-loader bugs are not the same issue." + }, + { + "left": "issue:1367", + "right": "issue:3250", + "accept": false, + "reason": "Scheduler config serialization and K-diffusion pipeline startup are unrelated." + }, + { + "left": "issue:10925", + "right": "issue:9227", + "accept": false, + "reason": "Both are Flux DreamBooth training reports, but one is about CLIPTextModel/architecture compatibility and the other is about a specific training script failing." + }, + { + "left": "issue:1617", + "right": "issue:2444", + "accept": false, + "reason": "One is missing CLI arguments, the other is an inpaint training script exit 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": 83, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10016", + "issue:10639", + "issue:10893", + "issue:10937", + "issue:11014", + "issue:11023", + "issue:11033", + "issue:11225", + "issue:11408", + "issue:11569", + "issue:11907", + "issue:12082", + "issue:12120", + "issue:12358", + "issue:1367", + "issue:1565", + "issue:1823", + "issue:2089", + "issue:2371", + "issue:259", + "issue:3565", + "issue:3694", + "issue:4206", + "issue:4566", + "issue:4664", + "issue:4731", + "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:7159", + "issue:761", + "issue:7982", + "issue:8469", + "issue:861", + "issue:8909", + "issue:9599", + "issue:9643", + "issue:9953" + ], + "soft_pairs": [ + "issue:4731|issue:7159", + "issue:11033|issue:11907", + "issue:11408|issue:9643", + "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" + ], + "prepared_review_unit_hash": "c70cdd12fa102e4dfa6457ae1fad7c0443a9c60cab5c1e128600901a278fbfbc", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33981, + "estimated_input_tokens": 8496, + "estimated_eval_tokens": 17248 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft-similarity pairs mostly share generic terms like OOM, LoRA, compile, or from_single_file, but they describe different models, pipelines, or failure modes. No pair looks like the same underlying bug/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": "issue:4731", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile and LoRA, but one is about multi-ControlNet on SDXL and the other is about fused LoRA failing; different code paths and symptoms." + }, + { + "left": "issue:11033", + "right": "issue:11907", + "accept": false, + "reason": "SD1.5 from_single_file loading failure is unrelated to Flux scheduler incompatibility." + }, + { + "left": "issue:11408", + "right": "issue:9643", + "accept": false, + "reason": "Compiled-model adapter mutation is a different problem from Flux multi-ControlNet support." + }, + { + "left": "issue:3565", + "right": "issue:3694", + "accept": false, + "reason": "Both are training-example issues, but one is CUDA OOM during text-to-image training and the other is missing model_index.json/config.json in finetuning setup." + }, + { + "left": "issue:1823", + "right": "issue:259", + "accept": false, + "reason": "Stable Diffusion depth2img comment swap is unrelated to the progress bar bug." + }, + { + "left": "issue:2371", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth output mismatch is not the same as 8-bit Adam optimizer failure." + }, + { + "left": "issue:5432", + "right": "issue:5846", + "accept": false, + "reason": "Both involve SDXL LoRA validation/resume behavior, but one is blank validation images and the other is checkpoint resume errors." + }, + { + "left": "issue:7982", + "right": "issue:9953", + "accept": false, + "reason": "MultiControlNet from_pipe failure is different from moving a quantized pipeline to CUDA." + }, + { + "left": "issue:10893", + "right": "issue:11569", + "accept": false, + "reason": "These are separate feature requests for different model repos and use cases." + }, + { + "left": "issue:6823", + "right": "issue:6839", + "accept": false, + "reason": "General controlnet usage failure and StableVideoDiffusion from_single_file support are different pipeline issues." + }, + { + "left": "issue:11023", + "right": "issue:8909", + "accept": false, + "reason": "Blurred playground v2.5 inference and saving text_encoder_ti in a DreamBooth LoRA script are unrelated." + }, + { + "left": "issue:1565", + "right": "issue:2089", + "accept": false, + "reason": "Different OOM contexts: inference on a specific GPU versus DreamBooth training with AltDiffusion." + }, + { + "left": "issue:5313", + "right": "issue:6809", + "accept": false, + "reason": "Non-revertible LoRA fuse and PEFT-based LoRA loading failures are different adapter-management problems." + }, + { + "left": "issue:6561", + "right": "issue:8469", + "accept": false, + "reason": "Missing IP-Adapter config file is unrelated to corrupt faces from a face adapter model." + }, + { + "left": "issue:10639", + "right": "issue:12358", + "accept": false, + "reason": "Different feature requests for different Lumina models/pipelines." + }, + { + "left": "issue:11014", + "right": "issue:11225", + "accept": false, + "reason": "Both are OOM reports, but one is general Colab inference memory usage and the other is SD3 controlnet validation-step memory during training." + }, + { + "left": "issue:10937", + "right": "issue:12082", + "accept": false, + "reason": "torch.compile errors in vae.encode are not the same as increased VAE memory after compile on wan2.1." + }, + { + "left": "issue:4206", + "right": "issue:4566", + "accept": false, + "reason": "ControlNet SDXL training breakage and SDXL LoRA checkpoint resume are separate trainer issues." + }, + { + "left": "issue:12120", + "right": "issue:9599", + "accept": false, + "reason": "A how-to request for distilled Flux LoRA training is not the same as asking for a FLUX LoRA-only finetune example." + }, + { + "left": "issue:4664", + "right": "issue:5516", + "accept": false, + "reason": "Both involve LoRA loading, but one is SDXL pipeline class naming behavior and the other is t2i-adapters pipeline incompatibility." + }, + { + "left": "issue:1367", + "right": "issue:861", + "accept": false, + "reason": "Saving scheduler config with custom trained_betas is unrelated to ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:6252", + "right": "issue:6368", + "accept": false, + "reason": "Checkpoint LoRA weights not loading and unsupported alpha metadata are related to LoRA checkpoints but not the same concrete failure." + }, + { + "left": "issue:6586", + "right": "issue:6891", + "accept": false, + "reason": "Both are tracker issues, but micro-conditioning for SDXL trainers and new model-card utilities are unrelated work items." + }, + { + "left": "issue:10016", + "right": "issue:5466", + "accept": false, + "reason": "from_single_file shape mismatch for SD3.5M is not the same as SDXL image-to-image LoRA shape 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": 84, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2772", + "issue:2878", + "issue:2883", + "issue:3061", + "issue:3706", + "issue:3728", + "issue:4375", + "issue:460", + "issue:4615", + "issue:4724", + "issue:4925", + "issue:4935", + "issue:5432", + "issue:5575", + "issue:5576", + "issue:5873", + "issue:5934", + "issue:6224", + "issue:6520", + "issue:6536", + "issue:6549", + "issue:6790", + "issue:6794", + "issue:7180", + "issue:7466", + "issue:7766", + "issue:7871", + "issue:9112", + "issue:9343", + "issue:938", + "issue:9497", + "issue:9576", + "issue:9904" + ], + "soft_pairs": [ + "issue:2772|issue:4935", + "issue:7180|issue:7466", + "issue:4724|issue:7871", + "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" + ], + "prepared_review_unit_hash": "0019920c67d5b455b0a01a4c934199437733ef5923af2946b2a093782ca1212a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33589, + "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 a noisy grab-bag of unrelated issue reports spanning training, inference, docs, model loading, and scheduler features. The soft-similarity pairs are mostly superficial title/body overlap and do not look like the same underlying bug or change, so they should not be merged.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2772", + "right": "issue:4935", + "accept": false, + "reason": "Both concern ControlNet training, but one is about local dataset validation while the other is SDXL distributed OOM; different failure modes and fixes." + }, + { + "left": "issue:7180", + "right": "issue:7466", + "accept": false, + "reason": "Both mention SDXL/controlnet and failures, but one is CPU offload incompatibility and the other is torch.compile with multi-controlnet inpaint; not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:7871", + "accept": false, + "reason": "Both involve SDXL/validation or image output issues, but one is an SDXL img2img checkpoint mismatch and the other is blockwise scales with a specific LoRA; different code paths." + }, + { + "left": "issue:5575", + "right": "issue:6790", + "accept": false, + "reason": "These are both LoRA-training questions/errors, but one asks about hidden size configuration and the other is a state_dict key mismatch in LCM example training." + }, + { + "left": "issue:11225", + "right": "issue:4925", + "accept": false, + "reason": "Both are training OOM reports, but one is specifically validation-step OOM in the SD3 ControlNet example while the other is distributed SDXL ControlNet OOM." + }, + { + "left": "issue:1889", + "right": "issue:2676", + "accept": false, + "reason": "One is about a specific scheduler variant, the other asks how to map scheduler names from webUI to diffusers; related topic, but not the same issue." + }, + { + "left": "issue:12175", + "right": "issue:12216", + "accept": false, + "reason": "Both are Qwen image quality complaints, but one is generic Qwen Image output quality and the other is Qwen-Image-Edit being worse than ComfyUI; likely different pipeline behavior." + }, + { + "left": "issue:11584", + "right": "issue:11791", + "accept": false, + "reason": "Both involve group offloading, but one is torch.compile incompatibility on hunyuanvideo_frampack and the other is LoRA weights failing to load after group offloading; distinct defects." + }, + { + "left": "issue:2878", + "right": "issue:5873", + "accept": false, + "reason": "Both mention ONNX/export problems, but one is a PyTorch 2.0 ONNX converter topic and the other is a specific scaled_dot_product_attention export limitation." + }, + { + "left": "issue:12359", + "right": "issue:9576", + "accept": false, + "reason": "Both touch guidance-scale/safety-related loading behavior, but one is a Chroma pipeline docs bug and the other is a pipeline loading bug where use_safetensors is not propagated." + }, + { + "left": "issue:3061", + "right": "issue:460", + "accept": false, + "reason": "Both are about reproducibility/runtime behavior, but one is a Stable Diffusion reproducibility issue and the other is an ONNX Runtime CPU/CUDA dependency issue." + }, + { + "left": "issue:10315", + "right": "issue:9497", + "accept": false, + "reason": "Both are training errors, but one is cogvideo training and the other is Dreambooth Flux matmul shape error; not the same model or code path." + }, + { + "left": "issue:4615", + "right": "issue:6794", + "accept": false, + "reason": "Both are import-related errors, but one is a missing StableDiffusionControlnetPipeline export and the other is cast_training_params import failure; unrelated symbols." + }, + { + "left": "issue:5432", + "right": "issue:6520", + "accept": false, + "reason": "Both report blank validation images, but they are for different training scripts (LoRA SDXL vs T2I adapter SDXL) and likely different validation logic." + }, + { + "left": "issue:1305", + "right": "issue:938", + "accept": false, + "reason": "These are completely different model areas: Direct Inversion image editing vs Human Motion Diffusion text-to-motion." + }, + { + "left": "issue:2883", + "right": "issue:3728", + "accept": false, + "reason": "Both are pipeline requests, but one is Image-to-Video and the other is Shifted Diffusion text-to-image; different models and functionality." + }, + { + "left": "issue:6224", + "right": "issue:6536", + "accept": false, + "reason": "Both mention training/runtime issues, but one is TorchDynamo fine-tuning and the other is UNet3DConditionModel OOM; not the same bug." + }, + { + "left": "issue:10428", + "right": "issue:9112", + "accept": false, + "reason": "Both are inference errors, but one is Flux on Ascend NPU and the other is Auraflow tensor shape mismatch; different models and hardware paths." + }, + { + "left": "issue:3706", + "right": "issue:5576", + "accept": false, + "reason": "One is a model/pipeline addition request (Wuerstchen), the other is a scheduler feature request (FreeNoise); not duplicates." + }, + { + "left": "issue:6549", + "right": "issue:7766", + "accept": false, + "reason": "Both involve IP-Adapter/Lora questions, but one is a warning about lora_weight logging and the other is FaceID Plus usage guidance." + }, + { + "left": "issue:1500", + "right": "issue:1611", + "accept": false, + "reason": "Both are compatibility regressions in pipelines, but one is a community pipeline breakage with diffusers v0.10.0 and the other is StableDiffusionMegaPipeline with a specific checkpoint." + }, + { + "left": "issue:10863", + "right": "issue:9343", + "accept": false, + "reason": "Both are safetensors/loading problems, but one is about local safetensors files in general while the other is a FLUX load path with low_cpu_mem_usage and ignore_mismatched_sizes." + }, + { + "left": "issue:4375", + "right": "issue:5934", + "accept": false, + "reason": "Both mention torch compile, but one is a specific crash during inference and the other is a broader torch.compile error; not enough evidence of the same underlying bug." + }, + { + "left": "issue:12175", + "right": "issue:9904", + "accept": false, + "reason": "Both are about Qwen/Flux image output quality or shape behavior, but one reports bad generated image quality and the other silently rounds image shape; distinct 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": 85, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10671", + "issue:11023", + "issue:11674", + "issue:11779", + "issue:1556", + "issue:1614", + "issue:2364", + "issue:3198", + "issue:3279", + "issue:3284", + "issue:3357", + "issue:4305", + "issue:4375", + "issue:4724", + "issue:4935", + "issue:4936", + "issue:4954", + "issue:4985", + "issue:5227", + "issue:5432", + "issue:5563", + "issue:5565", + "issue:5889", + "issue:5931", + "issue:6095", + "issue:6124", + "issue:6232", + "issue:6415", + "issue:6527", + "issue:6574", + "issue:7041", + "issue:7159", + "issue:7185", + "issue:7223", + "issue:7347", + "issue:7392", + "issue:7538", + "issue:7908", + "issue:8507", + "issue:8511", + "issue:8552", + "issue:8649", + "issue:8732", + "issue:8759", + "issue:8827", + "issue:8828", + "issue:8839", + "issue:9515" + ], + "soft_pairs": [ + "issue:3357|issue:7159", + "issue:3198|issue:4954", + "issue:4724|issue:5931", + "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" + ], + "prepared_review_unit_hash": "e47af59b26533acc8b9e0830678c7d75de6e980d738d0bce7db736da6505e4c4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33623, + "estimated_input_tokens": 8406, + "estimated_eval_tokens": 17068 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The packet is a grab bag of mostly unrelated issues. The SDXL aspect-ratio pair is related, but not strong enough to call a duplicate with confidence; the rest of the soft edges are appropriately rejected as different concrete bugs or requests. No PRs are present.", + "confidence": 0.83, + "canonical_issue_reason": "issue:7908 is the clearest representative of the aspect-ratio bucketing feature request because it states the change directly; issue:7392 is adjacent user demand, but the packet does not support treating it as the same issue with certainty.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7908 is the best overall issue to represent the aspect-ratio training topic because it is the broader, actionable request, while issue:7392 is a narrower question about training with multiple aspect-ratio images.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3357", + "right": "issue:7159", + "accept": false, + "reason": "Both involve torch.compile, but they describe different failures and code paths." + }, + { + "left": "issue:3198", + "right": "issue:4954", + "accept": false, + "reason": "Different loading bugs: safetensors textual inversion versus _pickle.UnpicklingError." + }, + { + "left": "issue:4724", + "right": "issue:5931", + "accept": false, + "reason": "One is an SDXL img2img behavior issue; the other is a general nondeterminism report." + }, + { + "left": "issue:3279", + "right": "issue:3284", + "accept": false, + "reason": "Both are DreamBooth LoRA training reports, but the failures are different: checkpoint resume versus accelerate launch." + }, + { + "left": "issue:7041", + "right": "issue:8552", + "accept": false, + "reason": "Different crash reports affecting different pipelines and conditions." + }, + { + "left": "issue:8649", + "right": "issue:8828", + "accept": false, + "reason": "SD3 num_images_per_prompt behavior is unrelated to a generic SD3 16GB training error." + }, + { + "left": "issue:10671", + "right": "issue:11023", + "accept": false, + "reason": "Generic dtype/device determinism in DiffusionPipeline is not the same as blur output in a custom pipeline." + }, + { + "left": "issue:4935", + "right": "issue:5432", + "accept": false, + "reason": "A training-script API question is not the same bug as blank validation images." + }, + { + "left": "issue:6232", + "right": "issue:6527", + "accept": false, + "reason": "Both mention add_noise, but they are different schedulers and likely different bugs." + }, + { + "left": "issue:8507", + "right": "issue:8759", + "accept": false, + "reason": "A training failure and an image_processor warning are different issues." + }, + { + "left": "issue:6095", + "right": "issue:6574", + "accept": false, + "reason": "An IndexError in one scheduler path is not the same as a FutureWarning about tensor ranges." + }, + { + "left": "issue:8511", + "right": "issue:8839", + "accept": false, + "reason": "Text-encoder unloading in SD3 training is unrelated to an SD3 LoRA weight error." + }, + { + "left": "issue:4375", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile, but one is an inference crash and the other is load_lora_weight with compile." + }, + { + "left": "issue:6124", + "right": "issue:8732", + "accept": false, + "reason": "Different training failures: FP16 unscale error versus checkpoint-saving issue." + }, + { + "left": "issue:6415", + "right": "issue:8827", + "accept": false, + "reason": "A support request for FaceID variants is not the same as an error using ip-adapter-faceid_sdxl." + }, + { + "left": "issue:5563", + "right": "issue:7347", + "accept": false, + "reason": "Both are training-error reports, but they describe different scripts and failure modes." + }, + { + "left": "issue:7185", + "right": "issue:9515", + "accept": false, + "reason": "PyTorch version support and missing RMSNorm in SD3 attention are unrelated." + }, + { + "left": "issue:4985", + "right": "issue:7538", + "accept": false, + "reason": "OOM during InstructPix2Pix SDXL training is not the same as a custom dataset training issue." + }, + { + "left": "issue:11674", + "right": "issue:11779", + "accept": false, + "reason": "A feature request for extra Wan VACE inputs is not the same as an incorrect mask-padding bug." + }, + { + "left": "issue:5889", + "right": "issue:7223", + "accept": false, + "reason": "General Stable Video Diffusion support and adding Latte are different requests." + }, + { + "left": "issue:4305", + "right": "issue:4936", + "accept": false, + "reason": "Torch.compile graph breaks and resume-function breakage since 0.19.0 are different issues." + }, + { + "left": "issue:1556", + "right": "issue:1614", + "accept": false, + "reason": "Both produce black outputs, but the reported causes and pipelines differ." + }, + { + "left": "issue:7392", + "right": "issue:7908", + "accept": false, + "reason": "They are clearly related to SDXL aspect-ratio training, but the packet only supports a related-feature reading, not a definite duplicate; deterministic_accept is false." + }, + { + "left": "issue:2364", + "right": "issue:5565", + "accept": false, + "reason": "A generic training-script failure is not the same as an inability to run the LoRA SDXL DreamBooth script." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Reject: the 7392/7908 verdict is too strong for the evidence in the packet. The two issues are clearly related to aspect ratios in SDXL training, but the packet\u2019s soft-pair label is `deterministic_accept: false`, so calling them the same feature request / duplicate overstates the support. A more conservative phrasing would be that they are related, not definitively the same issue. The rest of the soft-edge rejections are reasonably conservative." + }, + "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": 86, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10421", + "issue:10569", + "issue:11088", + "issue:11182", + "issue:11222", + "issue:11223", + "issue:12575", + "issue:13105", + "issue:13176", + "issue:1704", + "issue:1823", + "issue:2015", + "issue:3250", + "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:5466", + "issue:5540", + "issue:5628", + "issue:5892", + "issue:6028", + "issue:6112", + "issue:6252", + "issue:6295", + "issue:6749", + "issue:7003", + "issue:7159", + "issue:7168", + "issue:7306", + "issue:7363", + "issue:776", + "issue:7782", + "issue:8518", + "issue:8626", + "issue:8885", + "issue:929", + "issue:9525", + "issue:9889" + ], + "soft_pairs": [ + "issue:3250|issue:7306", + "issue:7159|issue:8518", + "issue:11088|issue:13105", + "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" + ], + "prepared_review_unit_hash": "a31e2f37f6cb70802fda08d02f45a09ae9766615a7885d4d77c2e08bf11c9697", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33918, + "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: memory/OOM reports, import/load errors, training-script issues, feature requests, and unrelated model-specific bugs. None of the soft pairs look like the same underlying issue, so I reject all soft edges.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out because the items span distinct bugs and requests across different models, pipelines, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "If an anchor is needed, issue:5540 ('Inference out of memory') is the broadest and most generic symptom report, but it is still not a true duplicate representative for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3250", + "right": "issue:7306", + "accept": false, + "reason": "Both are pipeline usage/runtime problems, but one is a general inability to run StableDiffusionKDiffusionPipeline and the other is a float16 limitation in LEditsPPPipelineStableDiffusionXL." + }, + { + "left": "issue:7159", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but they are different concrete failures on different models/code paths with different unsupported operations." + }, + { + "left": "issue:11088", + "right": "issue:13105", + "accept": false, + "reason": "Both involve Wan2.1, but one is a GGUF load error and the other is noisy output; different failure modes." + }, + { + "left": "issue:4213", + "right": "issue:4488", + "accept": false, + "reason": "Both concern SDXL loading, but one is missing accelerate for from_single_file and the other is pipeline_class selection when converting original checkpoints." + }, + { + "left": "issue:4566", + "right": "issue:6252", + "accept": false, + "reason": "Both involve LoRA/checkpoint handling, but one is about resuming SDXL LoRA training and the other is loading LoRA weights from a checkpoint." + }, + { + "left": "issue:6112", + "right": "issue:9889", + "accept": false, + "reason": "Both mention bad inference results, but one is noisy SDXL-Turbo output and the other is a segfault during inference." + }, + { + "left": "issue:5466", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape-mismatch style errors, but they arise from different model types and different loading paths." + }, + { + "left": "issue:2015", + "right": "issue:3826", + "accept": false, + "reason": "One is a pipeline proposal, the other a new audio pipeline request; they are not the same change." + }, + { + "left": "issue:3816", + "right": "issue:4356", + "accept": false, + "reason": "Both are import-related, but one is a missing transformers class and the other is a missing diffusers dummy module after upgrade." + }, + { + "left": "issue:5540", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOM reports, but they refer to different models and contexts; same broad symptom, not the same bug." + }, + { + "left": "issue:3674", + "right": "issue:3700", + "accept": false, + "reason": "These are both about training scripts, but one is metadata reading and the other is a min_snr argument issue." + }, + { + "left": "issue:4566", + "right": "issue:4985", + "accept": false, + "reason": "Both involve SDXL training, but one is checkpoint resume behavior and the other is an OOM in InstructPix2Pix training." + }, + { + "left": "issue:4000", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/loading errors, but they involve different file formats and different conversion commands." + }, + { + "left": "issue:10421", + "right": "issue:10569", + "accept": false, + "reason": "Both mention high CPU memory use, but one is a pipeline-to-multi-GPU leak and the other is high CPU memory consumption for a specific model." + }, + { + "left": "issue:3422", + "right": "issue:7363", + "accept": false, + "reason": "Both mention safety checker, but one asks how to disable it and the other reports a safety checker issue in SDXL." + }, + { + "left": "issue:6749", + "right": "issue:8885", + "accept": false, + "reason": "Both are about community examples, but one is InstantID reproducibility and the other is clip-retrieval/modifier-token installation." + }, + { + "left": "issue:11182", + "right": "issue:9525", + "accept": false, + "reason": "One is an unnecessary download for BF16 loading, the other is LoRA scaling not taking effect; unrelated bugs." + }, + { + "left": "issue:11222", + "right": "issue:11223", + "accept": false, + "reason": "A feature request for more WAN LoRA support is not the same underlying issue as OOM during layer-wise upcasting with LoRAs." + }, + { + "left": "issue:12575", + "right": "issue:13176", + "accept": false, + "reason": "Both mention attention, but they are on different models/subsystems and different errors." + }, + { + "left": "issue:1704", + "right": "issue:929", + "accept": false, + "reason": "Both touch attention blocks, but one is a general question and the other is about a duplicated sqrt computation; not a duplicate bug report." + }, + { + "left": "issue:1823", + "right": "issue:776", + "accept": false, + "reason": "These are different Stable Diffusion img2img problems: swapped comments versus batch_size > 1 breakage." + }, + { + "left": "issue:4708", + "right": "issue:5892", + "accept": false, + "reason": "Both are import errors, but they are different modules and likely different breakages." + }, + { + "left": "issue:7168", + "right": "issue:8626", + "accept": false, + "reason": "Both involve IP-Adapter usage, but one is a tensor-shape question and the other is documentation/guidance for multiple images/masks." + }, + { + "left": "issue:5628", + "right": "issue:6295", + "accept": false, + "reason": "Both are scheduler/sampling quality issues, but they concern different schedulers and different symptoms." + }, + { + "left": "issue:4954", + "right": "issue:7782", + "accept": false, + "reason": "Both involve unpickling/conversion failures, but the file types and error contexts differ." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3651", + "issue:3901", + "issue:4708", + "issue:4830", + "issue:5023", + "issue:5398", + "issue:5429", + "issue:5442", + "issue:5529", + "issue:6149", + "issue:6444", + "issue:6561", + "issue:6761", + "issue:6911", + "issue:6967", + "issue:7133", + "issue:7223", + "issue:7229", + "issue:7239", + "issue:7629", + "issue:7982", + "issue:8405", + "issue:8464", + "issue:8515", + "issue:8659", + "issue:9063", + "issue:9141", + "issue:9392", + "issue:9484", + "issue:9546", + "issue:9971" + ], + "soft_pairs": [ + "issue:6149|issue:6561", + "issue:5398|issue:5429", + "issue:8515|issue:9392", + "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" + ], + "prepared_review_unit_hash": "75661d4aa39ecc6e9f7d5e65802c2ada7ecb9758425655a388f51b154a8fbdd6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34169, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly noisy: nearly all soft pairs are superficial title similarity rather than the same bug. The only strong duplicate-looking pair is the multi-ControlNet tensor-size error (4830/8405).", + "confidence": 0.79, + "canonical_issue_reason": "issue:8405 is the clearest, broadest representative of the shared multi-ControlNet tensor-size failure; issue:4830 reads like the same bug but with a narrower title.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8405 is the best global representative because it matches the only real duplicate pair and states the generic failure mode most clearly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6149", + "right": "issue:6561", + "accept": false, + "reason": "Both are IP-Adapter load errors, but they point to different missing files/components and likely different causes." + }, + { + "left": "issue:5398", + "right": "issue:5429", + "accept": false, + "reason": "Both are hacktoberfest-style feature requests, but they target different functionality and are not the same bug/change." + }, + { + "left": "issue:8515", + "right": "issue:9392", + "accept": false, + "reason": "One is duplicate code cleanup in SD3 attention; the other is an SNR-shift scheduler question. Unrelated." + }, + { + "left": "issue:9063", + "right": "issue:9141", + "accept": false, + "reason": "Both involve Flux pipeline loading, but one is tokenizer instantiation and the other is missing from_single_file API; different issues." + }, + { + "left": "issue:2459", + "right": "issue:6911", + "accept": false, + "reason": "Different subsystems and failures: xformers attention in training vs UNet class-label handling in a 3D model." + }, + { + "left": "issue:11214", + "right": "issue:6761", + "accept": false, + "reason": "Both are TypeErrors, but on different methods and model paths; not the same underlying bug." + }, + { + "left": "issue:6967", + "right": "issue:7239", + "accept": false, + "reason": "Both are SDXL Dreambooth shape-mismatch reports, but the error context differs enough to treat them as separate bugs." + }, + { + "left": "issue:10180", + "right": "issue:11653", + "accept": false, + "reason": "Flux Control LoRA multi-loader issue vs HiDream .alpha-key compatibility; different model formats and code paths." + }, + { + "left": "issue:7982", + "right": "issue:9971", + "accept": false, + "reason": "MultiControlNet from_pipe construction and DEIS scheduler on Flux are unrelated." + }, + { + "left": "issue:5442", + "right": "issue:7223", + "accept": false, + "reason": "Different video-generation pipeline proposals; not duplicates." + }, + { + "left": "issue:10421", + "right": "issue:8464", + "accept": false, + "reason": "A CPU memory leak when moving pipelines to multi-GPU is not the same as SEGA CPU offload failing with a seed." + }, + { + "left": "issue:5529", + "right": "issue:8659", + "accept": false, + "reason": "Both mention training scripts, but one is a generic bug and the other is checkpoint resume/inference loading; different failures." + }, + { + "left": "issue:10026", + "right": "issue:9484", + "accept": false, + "reason": "Both are Flux multi-GPU training topics, but one is DeepSpeed memory scaling and the other is dreambooth training setup; not the same bug." + }, + { + "left": "issue:4708", + "right": "issue:5023", + "accept": false, + "reason": "Different import errors in different components/pipelines; no shared underlying change." + }, + { + "left": "issue:12609", + "right": "issue:12699", + "accept": false, + "reason": "Both are Wan 2.2 issues, but one is NaNs in latents and the other is quality degradation over repeated prompts; distinct problems." + }, + { + "left": "issue:4830", + "right": "issue:8405", + "accept": true, + "reason": "These describe the same multi-ControlNet tensor-size bug with near-identical failure mode and code path." + }, + { + "left": "issue:2091", + "right": "issue:7133", + "accept": false, + "reason": "Both concern resuming training, but one is multi-GPU pipeline resume and the other is SDXL text-encoder size mismatch; not the same defect." + }, + { + "left": "issue:1976", + "right": "issue:2321", + "accept": false, + "reason": "One is an incorrect tokenizer file lookup; the other is EMA-weight handling during inference. Unrelated." + }, + { + "left": "issue:3651", + "right": "issue:3901", + "accept": false, + "reason": "A multi-GPU Dreambooth runtime problem is unrelated to a missing requirements.txt file." + }, + { + "left": "issue:1013", + "right": "issue:1195", + "accept": false, + "reason": "Pipeline compatibility with Diffusers 6.0 and fp16 memory-efficient attention are separate issues." + }, + { + "left": "issue:10139", + "right": "issue:11033", + "accept": false, + "reason": "Sample-size handling in pipeline init and SD1.5 from_single_file loading failure are different code paths." + }, + { + "left": "issue:7629", + "right": "issue:9546", + "accept": false, + "reason": "Both mention OOM, but on different models and environments; not the same bug." + }, + { + "left": "issue:6444", + "right": "issue:7229", + "accept": false, + "reason": "Both involve advanced training checkpoints, but one is a peft_config attribute error and the other is a save-checkpoint issue; different failures." + }, + { + "left": "issue:10798", + "right": "issue:13043", + "accept": false, + "reason": "Flux quantization/device-combination bug is unrelated to a Blackwell kernel-image backend error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft pairs. The only accepted duplicate-looking pair is 4830/8405, and the remaining verdicts are appropriately cautious rather than 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": 88, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:12533", + "issue:12661", + "issue:12771", + "issue:2091", + "issue:2132", + "issue:2156", + "issue:2203", + "issue:2361", + "issue:2780", + "issue:3101", + "issue:3279", + "issue:3453", + "issue:3537", + "issue:3612", + "issue:3694", + "issue:5016", + "issue:5687", + "issue:5757", + "issue:6117", + "issue:6295", + "issue:6382", + "issue:6527", + "issue:713", + "issue:7593", + "issue:7722", + "issue:7979", + "issue:7982", + "issue:8469", + "issue:8503", + "issue:8614", + "issue:8828", + "issue:9047", + "issue:9227", + "issue:9971" + ], + "soft_pairs": [ + "issue:6382|issue:8469", + "issue:6117|issue:6527", + "issue:3101|issue:713", + "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" + ], + "prepared_review_unit_hash": "279061e034e3cbb25d2c8a1366b268808f7734c4b69f4ef946981c60f9d1807b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33834, + "estimated_input_tokens": 8459, + "estimated_eval_tokens": 17174 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated training/runtime bugs across FLUX, SD3, ControlNet, schedulers, IP-Adapter, MPS, and offload. The soft-similarity links look incidental, not like duplicate reports of the same underlying defect, so none are accepted.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:9227 is the best cluster anchor: it is open, detailed, and FLUX-training-specific, but it does not actually subsume the other reports as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:8469", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a training-time key error and the other is broken face outputs; different failure modes and code paths." + }, + { + "left": "issue:6117", + "right": "issue:6527", + "accept": false, + "reason": "Different schedulers with separate add_noise bugs; too broad and not the same concrete defect." + }, + { + "left": "issue:3101", + "right": "issue:713", + "accept": false, + "reason": "A ControlNet example error is not the same as a generic training error report." + }, + { + "left": "issue:11024", + "right": "issue:7593", + "accept": false, + "reason": "Both touch IP-Adapter/SD pipelines, but the reported breakages are different object/model access issues." + }, + { + "left": "issue:11581", + "right": "issue:11651", + "accept": false, + "reason": "Unexpected dtype during IP-Adapter load versus a FLUX-Control/flux-fill-lora loading problem; not the same bug." + }, + { + "left": "issue:10139", + "right": "issue:7982", + "accept": false, + "reason": "Unet sample_size init bug is unrelated to MultiControlNetModel from_pipe behavior." + }, + { + "left": "issue:2132", + "right": "issue:3279", + "accept": false, + "reason": "Tracker attribute error and checkpoint-resume errors are different training-script failures." + }, + { + "left": "issue:6382", + "right": "issue:7722", + "accept": false, + "reason": "Both mention IP-Adapter, but they occur in different pipelines with different underlying causes." + }, + { + "left": "issue:10542", + "right": "issue:11104", + "accept": false, + "reason": "Different models and subsystems: Hunyuan Video batch-size failure versus LTX-Video offload issues." + }, + { + "left": "issue:10994", + "right": "issue:9227", + "accept": false, + "reason": "Both are FLUX training issues, but the concrete failures differ; not enough to merge as one duplicate." + }, + { + "left": "issue:11050", + "right": "issue:2780", + "accept": false, + "reason": "Different scripts and different dtype/AMP problems; not the same code-path bug." + }, + { + "left": "issue:3537", + "right": "issue:3612", + "accept": false, + "reason": "A conversion script request is not the same as a question about creating a ControlNet with a specific preprocessor." + }, + { + "left": "issue:7979", + "right": "issue:8614", + "accept": false, + "reason": "Invalid JSON config and missing config.json are related only superficially; they are distinct file handling issues." + }, + { + "left": "issue:10722", + "right": "issue:10969", + "accept": false, + "reason": "Tensor-size mismatch in DreamBooth prior preservation versus a FLUX-controlnet zero3 weight-shape error; different defects." + }, + { + "left": "issue:2361", + "right": "issue:3694", + "accept": false, + "reason": "Checkpoint-saving crash is unrelated to missing model_index.json/config.json during example setup." + }, + { + "left": "issue:12104", + "right": "issue:12771", + "accept": false, + "reason": "An index-out-of-bounds runtime error and a DPMSolver scheduler parameter bug are not the same issue." + }, + { + "left": "issue:2156", + "right": "issue:2203", + "accept": false, + "reason": "CPU-vs-GPU training placement is unrelated to where the model is downloaded on disk." + }, + { + "left": "issue:8503", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training complaints, but one is gradient checkpointing crash and the other is a memory/training error; not the same concrete bug." + }, + { + "left": "issue:12533", + "right": "issue:12661", + "accept": false, + "reason": "Context-parallelism hook conflicts and ChronoEdit crashes are related only at a high level, not the same defect." + }, + { + "left": "issue:10334", + "right": "issue:11315", + "accept": false, + "reason": "Both mention MPS, but Sana NaNs/gray images and HiDream float64 rope are different root causes." + }, + { + "left": "issue:9047", + "right": "issue:9971", + "accept": false, + "reason": "FLUX-on-MPS and DEISMultistepScheduler-on-FLUX are separate compatibility problems." + }, + { + "left": "issue:5016", + "right": "issue:5757", + "accept": false, + "reason": "SDXL text-encoder training support and checkpoint-resume errors are distinct issues." + }, + { + "left": "issue:5687", + "right": "issue:6295", + "accept": false, + "reason": "Both involve Karras-related scheduler behavior, but the failures differ: duplicate timesteps vs artifacts with a different sampler setting." + }, + { + "left": "issue:2091", + "right": "issue:3453", + "accept": false, + "reason": "Multi-GPU checkpoint resume and a BFloat16 CUDA kernel limitation are unrelated training/runtime 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": 89, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10382", + "issue:11432", + "issue:11922", + "issue:12107", + "issue:2161", + "issue:2299", + "issue:2830", + "issue:3279", + "issue:3346", + "issue:4286", + "issue:4436", + "issue:4453", + "issue:4566", + "issue:460", + "issue:4790", + "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:7286", + "issue:7440", + "issue:7879", + "issue:7982", + "issue:8359", + "issue:8469", + "issue:8827", + "issue:8885", + "issue:8900", + "issue:9142", + "issue:9209", + "issue:9309", + "issue:9331", + "issue:938", + "issue:9421", + "issue:9643", + "issue:9804" + ], + "soft_pairs": [ + "issue:12107|issue:9142", + "issue:4790|issue:6226", + "issue:7286|issue:8885", + "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" + ], + "prepared_review_unit_hash": "8251aa18a5699cec565edbcda52d799e4b2ffa7e776c09980891600b6e97aead", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "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": "Most items are unrelated. Only two soft edges look like true duplicates: the DreamBooth LoRA checkpoint-resume reports and the original-SD conversion/export reports. The rest either target different code paths, different models, or are too broad to merge safely.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue spans the whole set, but #4790 is the strongest representative among the accepted duplicates because it describes the root converter incompatibility rather than a downstream loading symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "#4790 is the best issue to keep as the canonical source for the conversion bug: it names the specific broken script and the core failure mode that also shows up in #6226.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12107", + "right": "issue:9142", + "accept": false, + "reason": "Both mention list/attribute errors, but they are different features and models: accelerator tracker logging vs multiple ControlNet loading in Hunyuan DiT." + }, + { + "left": "issue:4790", + "right": "issue:6226", + "accept": true, + "reason": "Same converter path and same underlying problem: `convert_diffusers_to_original_stable_diffusion.py` produces output that downstream tools cannot read." + }, + { + "left": "issue:7286", + "right": "issue:8885", + "accept": false, + "reason": "Different Custom Diffusion failures: cross-attention weight loading in a pipeline vs install/modifier-token issues in an example." + }, + { + "left": "issue:6732", + "right": "issue:7053", + "accept": false, + "reason": "Unrelated topics: scheduler documentation for `trained_betas` versus a `UNet3DConditionModel` class-conditioning behavior bug." + }, + { + "left": "issue:6226", + "right": "issue:9421", + "accept": false, + "reason": "Both are loading-related, but one is about a conversion script producing bad files and the other is about accessing a gated model." + }, + { + "left": "issue:3279", + "right": "issue:3346", + "accept": true, + "reason": "Same `train_dreambooth_lora.py` checkpoint-resume problem; one is an error report and the other explicitly requests `resume_from_checkpoint` support." + }, + { + "left": "issue:2299", + "right": "issue:460", + "accept": false, + "reason": "Different subsystems: fine-tuned checkpoint compatibility versus ONNX runtime dependency selection." + }, + { + "left": "issue:4436", + "right": "issue:4453", + "accept": false, + "reason": "Both are model-format conversion questions, but they are opposite directions and involve different artifacts (CIVITAI safetensors+VAE vs SDXL LoRA to safetensors)." + }, + { + "left": "issue:7440", + "right": "issue:7879", + "accept": false, + "reason": "Related dataset name, but not the same issue: dataset unavailability versus a separate pokemon-BLIP captions dataset request." + }, + { + "left": "issue:9209", + "right": "issue:9804", + "accept": false, + "reason": "Network/mirror access failure is unrelated to local SDXL ControlNet loading from disk." + }, + { + "left": "issue:6069", + "right": "issue:6117", + "accept": false, + "reason": "Different scheduler classes and different `add_noise` bugs; not the same code path." + }, + { + "left": "issue:4286", + "right": "issue:5226", + "accept": false, + "reason": "Both involve `load_lora_weights`, but the pipelines are different and the failures are not clearly the same underlying bug." + }, + { + "left": "issue:11922", + "right": "issue:9309", + "accept": false, + "reason": "Different Flux models/pipelines and different reported failures; too broad to treat as one bug." + }, + { + "left": "issue:2161", + "right": "issue:4566", + "accept": false, + "reason": "One is about LoRA training on inpainting models, the other about SDXL resume-from-checkpoint behavior." + }, + { + "left": "issue:5317", + "right": "issue:5341", + "accept": false, + "reason": "Separate documentation/example updates; similar area but not the same change or bug." + }, + { + "left": "issue:6008", + "right": "issue:8469", + "accept": false, + "reason": "Both concern IP-Adapter face variants, but they describe different pipelines and different failure modes." + }, + { + "left": "issue:9142", + "right": "issue:9643", + "accept": false, + "reason": "Same broad theme of multiple ControlNets, but different model families and likely different implementation gaps." + }, + { + "left": "issue:5886", + "right": "issue:8827", + "accept": false, + "reason": "Both mention face-related IP-Adapter variants, but one asks for a face model feature and the other reports an SDXL FaceID usage error." + }, + { + "left": "issue:11432", + "right": "issue:7982", + "accept": false, + "reason": "Different bugs: `torch_dtype=\"auto\"` loading versus `from_pipe` with `MultiControlNetModel`." + }, + { + "left": "issue:8359", + "right": "issue:8900", + "accept": false, + "reason": "Both mention `from_single_file`, but one is a custom-checkpoint regression and the other is a usage question for a specific SDXL refiner file." + }, + { + "left": "issue:4974", + "right": "issue:6584", + "accept": false, + "reason": "Both are conversion-to-diffusers issues, but they concern different source models and do not obviously share the same bug." + }, + { + "left": "issue:5997", + "right": "issue:7138", + "accept": false, + "reason": "Different SDXL problems: tutorial text/clip model mismatch versus UNet structure mismatch." + }, + { + "left": "issue:10026", + "right": "issue:5197", + "accept": false, + "reason": "Both concern multi-GPU training performance, but one is a memory complaint under DeepSpeed stage 3 and the other is a slower-than-single-GPU throughput report." + }, + { + "left": "issue:10382", + "right": "issue:9331", + "accept": false, + "reason": "Unrelated components: VAE encoder return-type mismatch versus a scheduler timestep-indexing bug." + }, + { + "left": "issue:2830", + "right": "issue:938", + "accept": false, + "reason": "Different application domains: video generation question versus text-to-motion model request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The duplicate judgments are conservative and grounded in the packet. The two accepted pairs (#4790/#6226 and #3279/#3346) are supported by closely matching titles and symptoms, while the rest are appropriately rejected as different code paths, models, or failure modes. No clear overstatement detected." + }, + "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-50-3013", + "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:3728", + "issue:3813", + "issue:434", + "issue:4580", + "issue:4631", + "issue:4724", + "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:7168", + "issue:7238", + "issue:7377", + "issue:7420", + "issue:9112", + "issue:9237", + "issue:9501", + "issue:9619", + "issue:9907", + "issue:9936" + ], + "soft_pairs": [ + "issue:4580|issue:4631", + "issue:7168|issue:7238", + "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" + ], + "prepared_review_unit_hash": "6a953bb48fb7741bd5769017f164c26f90a461521d0ecdfe6d7e198bd1463730", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33489, + "estimated_input_tokens": 8373, + "estimated_eval_tokens": 17002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issues across different models, schedulers, training scripts, and import/runtime failures. None of the soft-edge pairs look like true duplicates; they only share broad keywords such as Flux, LoRA, ControlNet, torch.compile, or out-of-bounds errors.", + "confidence": 0.89, + "canonical_issue_reason": "issue:9237 is the most central and richly described Flux training report in this set, with substantial discussion and references; it is the best umbrella representative if one issue must anchor the cluster, though it is still distinct from the other Flux tickets.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9237 has the strongest combination of context, discussion, and topical overlap with several nearby Flux/LoRA training reports, making it the best issue to represent the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4580", + "right": "issue:4631", + "accept": false, + "reason": "Both mention use_karras_sigmas, but they hit different schedulers and different failures; not the same code path." + }, + { + "left": "issue:7168", + "right": "issue:7238", + "accept": false, + "reason": "One is about incorrect IP-Adapter image embedding shape, the other about masking behavior; different bugs." + }, + { + "left": "issue:2988", + "right": "issue:7041", + "accept": false, + "reason": "Both are scheduler/runtime failures, but the trigger conditions and symptoms are different (equal steps vs num_inference_steps > 1)." + }, + { + "left": "issue:12656", + "right": "issue:12771", + "accept": false, + "reason": "Both are out-of-bounds errors, but in different models and different subsystems; no shared concrete failure." + }, + { + "left": "issue:3728", + "right": "issue:6407", + "accept": false, + "reason": "These are unrelated new-pipeline requests for different models and tasks." + }, + { + "left": "issue:1534", + "right": "issue:434", + "accept": false, + "reason": "Both concern training notebooks, but one is a specific Dreambooth notebook error and the other is a version-compatibility report." + }, + { + "left": "issue:10180", + "right": "issue:12396", + "accept": false, + "reason": "Both involve adapters/LoRA, but one is about loading multiple LoRAs with Flux Control LoRA and the other about delete_adapters with leaf_level errors." + }, + { + "left": "issue:4925", + "right": "issue:5997", + "accept": false, + "reason": "One is an OOM in distributed SDXL ControlNet training; the other is a tutorial/model-type mismatch error." + }, + { + "left": "issue:5012", + "right": "issue:5432", + "accept": false, + "reason": "Both touch LoRA SDXL training, but one is about text encoder training support and the other is blank validation images." + }, + { + "left": "issue:9237", + "right": "issue:9501", + "accept": false, + "reason": "Both are Flux Dreambooth training reports, but one is a general training issue and the other is specifically delayed model saving; not the same bug." + }, + { + "left": "issue:9907", + "right": "issue:9936", + "accept": false, + "reason": "Different Flux ControlNet problems: sequence-length warning versus NCCL timeout in multigpu training." + }, + { + "left": "issue:10772", + "right": "issue:9619", + "accept": false, + "reason": "A Sana ControlNet support request is not the same as adding interrupt support to StableDiffusionControlNetPipeline." + }, + { + "left": "issue:10650", + "right": "issue:10866", + "accept": false, + "reason": "Both are Lumina-related, 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-script/export issue versus a Dreambooth Flux Kontext argument validation error." + }, + { + "left": "issue:10937", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is a specific vae.encode failure and the other is a generic compile problem." + }, + { + "left": "issue:1304", + "right": "issue:3813", + "accept": false, + "reason": "A how-to question about image-to-image training is not the same as a multi-GPU model-parallel finetuning question." + }, + { + "left": "issue:4724", + "right": "issue:7041", + "accept": false, + "reason": "Different pipelines and different failures; no common concrete bug." + }, + { + "left": "issue:5026", + "right": "issue:5152", + "accept": false, + "reason": "Different model/version-specific errors with no shared code path." + }, + { + "left": "issue:5412", + "right": "issue:5846", + "accept": false, + "reason": "Both mention resume_from_checkpoint, but they are different scripts and likely different training flows." + }, + { + "left": "issue:11169", + "right": "issue:11560", + "accept": false, + "reason": "One is a specific numpy binary incompatibility on import; the other is just a generic import error." + }, + { + "left": "issue:1556", + "right": "issue:2107", + "accept": false, + "reason": "Both can produce black images, but the causes are different: GPU/NSFW warning versus low-resolution rendering." + }, + { + "left": "issue:3124", + "right": "issue:5753", + "accept": false, + "reason": "Model conversion failure is unrelated to a ControlNet LoRA loading issue." + }, + { + "left": "issue:2596", + "right": "issue:5603", + "accept": false, + "reason": "Both are import/doc issues, but they reference different symbols and different failure modes." + }, + { + "left": "issue:7377", + "right": "issue:9112", + "accept": false, + "reason": "Different model-specific inference errors with no shared failing 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": 1, + "component_count": 102, + "review_unit_index": 91, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10804", + "issue:10883", + "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:3799", + "issue:3954", + "issue:4080", + "issue:4356", + "issue:4390", + "issue:4806", + "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:861", + "issue:8732", + "issue:9187", + "issue:9403", + "issue:9448", + "issue:9576", + "issue:9744", + "issue:9825", + "issue:9841" + ], + "soft_pairs": [ + "issue:3250|issue:861", + "issue:3799|issue:4806", + "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" + ], + "prepared_review_unit_hash": "86733c9d76c05b2086328102e88ab6b2a9fbd7837b9f828c74dce164d151ee3b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 33699, + "estimated_input_tokens": 8425, + "estimated_eval_tokens": 17106 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous and does not form a single duplicate set; most items are unrelated bug reports or feature requests across different pipelines, training scripts, and models. No canonical duplicate stands out.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11651 is the clearest concrete failure report and the closest thing to a recurring theme in this set (Flux LoRA loading); however, it is not a true canonical for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3250", + "right": "issue:861", + "accept": false, + "reason": "Different problems: pipeline execution failure vs checkpoint-to-diffusers conversion." + }, + { + "left": "issue:3799", + "right": "issue:4806", + "accept": false, + "reason": "Both are type-annotation issues, but for different classes/APIs and different bugs." + }, + { + "left": "issue:4356", + "right": "issue:4936", + "accept": false, + "reason": "Version-regression reports, but one is a missing module import and the other is dreambooth resume behavior." + }, + { + "left": "issue:7223", + "right": "issue:9744", + "accept": false, + "reason": "Both are feature requests for different video models; not the same change." + }, + { + "left": "issue:2132", + "right": "issue:2156", + "accept": false, + "reason": "Same example family, but one is an AttributeError and the other is CPU/GPU execution behavior." + }, + { + "left": "issue:2218", + "right": "issue:761", + "accept": false, + "reason": "Training-related, but one is overfitting quality and the other is an 8-bit optimizer failure." + }, + { + "left": "issue:10804", + "right": "issue:11651", + "accept": false, + "reason": "Both involve Flux LoRA loading, but they target different models/pipelines and don\u2019t clearly share the same code-path bug." + }, + { + "left": "issue:1197", + "right": "issue:4080", + "accept": false, + "reason": "Broad diffusion-pipeline feature requests, but for different pipelines and capabilities." + }, + { + "left": "issue:2132", + "right": "issue:3284", + "accept": false, + "reason": "Both mention train_dreambooth_lora.py/accelerate, but the reported failures are not the same bug." + }, + { + "left": "issue:3250", + "right": "issue:746", + "accept": false, + "reason": "Unrelated runtime pipeline issue vs ONNX revision loading problem." + }, + { + "left": "issue:1919", + "right": "issue:4390", + "accept": false, + "reason": "Both mention missing requirements, but one is a specific example dependency gap and the other is a generic report." + }, + { + "left": "issue:3954", + "right": "issue:6278", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is scheduler step counting and the other is a run failure." + }, + { + "left": "issue:2107", + "right": "issue:557", + "accept": false, + "reason": "Different generation-quality complaints with no shared code-path evidence." + }, + { + "left": "issue:6224", + "right": "issue:8732", + "accept": false, + "reason": "Both are training problems, but one is TorchDynamo and the other is checkpoint saving." + }, + { + "left": "issue:11627", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter, but they affect different pipelines and fail differently." + }, + { + "left": "issue:9403", + "right": "issue:9825", + "accept": false, + "reason": "Related to Flux IP-Adapter support, but one is a specific Xlabs request and the other is a broader pipeline feature request." + }, + { + "left": "issue:9576", + "right": "issue:9841", + "accept": false, + "reason": "Completely different areas: pipeline loading option propagation vs DreamBooth SDXL LoRA training." + }, + { + "left": "issue:2132", + "right": "issue:3284", + "accept": false, + "reason": "Same script family, but the concrete error and failure mode differ." + }, + { + "left": "issue:11432", + "right": "issue:9187", + "accept": false, + "reason": "Both are loading-related, but one is torch_dtype handling and the other is IP-Adapter SDXL/Kolors behavior." + }, + { + "left": "issue:3651", + "right": "issue:3954", + "accept": false, + "reason": "Both mention multi-GPU, but they are distinct bugs affecting different training flows." + }, + { + "left": "issue:5799", + "right": "issue:6159", + "accept": false, + "reason": "Both are unsupported keyword-argument issues, but for different arguments and different pipelines." + }, + { + "left": "issue:10883", + "right": "issue:12752", + "accept": false, + "reason": "Feature updates for different models and pipelines; not the same underlying change." + }, + { + "left": "issue:5798", + "right": "issue:5799", + "accept": false, + "reason": "Different pipeline kwargs and different failure surfaces." + }, + { + "left": "issue:5395", + "right": "issue:5518", + "accept": false, + "reason": "Both LoRA-related, but one is PEFT model merging and the other is an AttributeError in a different path." + }, + { + "left": "issue:2616", + "right": "issue:5919", + "accept": false, + "reason": "Different LoRA-training errors affecting different objects and code paths." + }, + { + "left": "issue:6131", + "right": "issue:6149", + "accept": false, + "reason": "Both are IP-Adapter issues, but they concern different adapter variants and load 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": 92, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10302", + "issue:10392", + "issue:10428", + "issue:10512", + "issue:10514", + "issue:10542", + "issue:10962", + "issue:11010", + "issue:11363", + "issue:11436", + "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:9297", + "issue:9673", + "issue:9861" + ], + "soft_pairs": [ + "issue:10514|issue:10962", + "issue:9297|issue:9673", + "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" + ], + "prepared_review_unit_hash": "89ae56e90837b33bc5812c78764b9349c0229cd2a5abcea7f992bfd8412a940b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33326, + "estimated_input_tokens": 8332, + "estimated_eval_tokens": 16920 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous issue set with no PRs. Only two soft pairs look like true duplicates: the multiple-LoRA loading performance reports, and the SDXL checkpoint-resume/load failures. The rest are different models, different APIs, or different failure modes.", + "confidence": 0.78, + "canonical_issue_reason": "No single canonical issue fits the whole set cleanly; if one must be chosen, issue #9297 is the best representative of the only clear duplicate-like subcluster (multiple LoRA loading performance).", + "canonical_pr_reason": null, + "best_issue_reason": "#9297 is the strongest issue candidate overall: it is specific, well-described, and has the clearest duplicate partner (#9673) with the same underlying multiple-LoRA loading problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10514", + "right": "issue:10962", + "accept": false, + "reason": "Different bugs: Sana resolution-binning/sample-size support vs Cogview4 prompt-embedding shape handling." + }, + { + "left": "issue:9297", + "right": "issue:9673", + "accept": true, + "reason": "Same underlying problem: loading multiple LoRAs is slow/heavy; one reports linear load-time scaling, the other high CPU during multi-LoRA loading." + }, + { + "left": "issue:11010", + "right": "issue:9861", + "accept": false, + "reason": "Support/architecture-change request vs a Flux training bug; not the same concrete issue." + }, + { + "left": "issue:2089", + "right": "issue:684", + "accept": false, + "reason": "Different problems: DreamBooth AltDiffusion OOM vs AMD memory-optimization behavior." + }, + { + "left": "issue:6460", + "right": "issue:9264", + "accept": false, + "reason": "One is a loading-hang bug for an inpainting model; the other is a feature request for Flux inpainting." + }, + { + "left": "issue:8543", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 dreambooth-related, but the failures differ: gradient checkpointing vs missing vae.config.shift_factor." + }, + { + "left": "issue:4402", + "right": "issue:6839", + "accept": false, + "reason": "Both mention from_single_file, but they target different pipeline classes and likely different failure modes." + }, + { + "left": "issue:455", + "right": "issue:457", + "accept": false, + "reason": "Different MPS issues: one is an aten::index NotImplementedError, the other is visual color artifacts." + }, + { + "left": "issue:11777", + "right": "issue:9258", + "accept": false, + "reason": "Unrelated topics: HiDream LoRA training question vs FLUX LoRA training speed on Windows/Linux." + }, + { + "left": "issue:2844", + "right": "issue:4307", + "accept": false, + "reason": "Different APIs/problems: explicit image embeddings for StableUnCLIP vs local_files_only loading error." + }, + { + "left": "issue:2707", + "right": "issue:6226", + "accept": false, + "reason": "Same script area, but syntax error and webui loading incompatibility are not the same concrete bug." + }, + { + "left": "issue:10542", + "right": "issue:12738", + "accept": false, + "reason": "Both are batch-size>1 failures, but in different pipelines with different asserted behavior." + }, + { + "left": "issue:10302", + "right": "issue:12396", + "accept": false, + "reason": "FP8 inference noise vs delete_adapters/leaf_level errors are unrelated bugs." + }, + { + "left": "issue:4566", + "right": "issue:8659", + "accept": true, + "reason": "Same checkpoint-resume / SDXL training script failure path; 8659 broadens it with infer-load breakage, but the core bug overlaps." + }, + { + "left": "issue:4849", + "right": "issue:579", + "accept": false, + "reason": "Different textual inversion issues: multi-GPU training question vs missing config.json loading error." + }, + { + "left": "issue:11363", + "right": "issue:13079", + "accept": false, + "reason": "Both hit CUDA OOM, but on different models and scenarios; not the same underlying bug." + }, + { + "left": "issue:3481", + "right": "issue:7142", + "accept": false, + "reason": "Both compare outputs against another implementation, but they are different models and different reproducibility contexts." + }, + { + "left": "issue:5128", + "right": "issue:8435", + "accept": false, + "reason": "Both are from_single_file loading failures, but the titles are too broad/specific-mismatched to confirm the same concrete bug." + }, + { + "left": "issue:10428", + "right": "issue:9096", + "accept": false, + "reason": "Different Flux inference issues: Ascend NPU error vs torch.half NaN outputs." + }, + { + "left": "issue:11436", + "right": "issue:9200", + "accept": false, + "reason": "Both are dtype mismatches, but in different models/pipelines and likely different code paths." + }, + { + "left": "issue:2089", + "right": "issue:2412", + "accept": false, + "reason": "OOM during AltDiffusion DreamBooth training vs a generic dreambooth error; not the same bug." + }, + { + "left": "issue:1565", + "right": "issue:3094", + "accept": false, + "reason": "Different resource issues: forcing GPU:0 / OOM vs training example OOM." + }, + { + "left": "issue:2695", + "right": "issue:2991", + "accept": false, + "reason": "Different ControlNet example failures: validation/report_to issue vs mixed-precision failure." + }, + { + "left": "issue:10392", + "right": "issue:10512", + "accept": false, + "reason": "Different Flux LoRA problems: FP8/Hyper-FLUX setup vs Quanto LoRA loading." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The two accepted soft pairs are reasonably supported by the titles: both multi-LoRA loading reports point to the same performance/loading issue, and both SDXL issues center on checkpoint-resume/loading failures. The rest of the pairwise rejections are cautious and consistent with 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": 93, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10421", + "issue:10447", + "issue:10672", + "issue:10757", + "issue:10963", + "issue:11199", + "issue:11225", + "issue:11241", + "issue:11352", + "issue:11374", + "issue:11561", + "issue:11710", + "issue:1185", + "issue:12011", + "issue:13067", + "issue:13079", + "issue:1919", + "issue:1944", + "issue:2091", + "issue:2904", + "issue:3191", + "issue:3250", + "issue:4368", + "issue:4398", + "issue:4733", + "issue:4790", + "issue:4837", + "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:817", + "issue:8493", + "issue:8511", + "issue:8790", + "issue:8950", + "issue:9109", + "issue:9358", + "issue:9876" + ], + "soft_pairs": [ + "issue:10672|issue:11710", + "issue:10963|issue:11199", + "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" + ], + "prepared_review_unit_hash": "c4dd142dbc5bcd2e3bb9a85dd85a0afb6c3ba693c9b1615f79d245bb67853865", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33254, + "estimated_input_tokens": 8314, + "estimated_eval_tokens": 16884 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly broad topical matches rather than true duplicates; none look like the same concrete bug or change. The closest theme is memory/resource handling, but the set is too heterogeneous for mergeable duplicate triage.", + "confidence": 0.31, + "canonical_issue_reason": "issue:9876 is the clearest broad memory-management report in the set and best fits the recurring VRAM/OOM theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9876 is the most representative issue for the shared resource-leak/OOM cluster, with a clear user-facing symptom and broad applicability.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10672", + "right": "issue:11710", + "accept": false, + "reason": "Different requests: callback support for pipelines vs a new MagCache integration feature." + }, + { + "left": "issue:10963", + "right": "issue:11199", + "accept": false, + "reason": "Both are import failures, but they affect different modules and error paths; not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:7197", + "accept": false, + "reason": "Both mention resuming training, but the failures differ (multi-GPU pipeline resume vs KeyError on shortest-edge handling)." + }, + { + "left": "issue:3191", + "right": "issue:4398", + "accept": false, + "reason": "Both involve DreamBooth/LoRA, but one says the setup is broken while the other reports black images in SDXL LoRA DreamBooth; different symptoms and likely causes." + }, + { + "left": "issue:1919", + "right": "issue:817", + "accept": false, + "reason": "Unrelated: missing requirements dependency vs mixed precision not working." + }, + { + "left": "issue:5226", + "right": "issue:9109", + "accept": false, + "reason": "Completely different problems: LoRA loading on an adapter pipeline vs a torchvision operator import/runtime issue." + }, + { + "left": "issue:10421", + "right": "issue:11352", + "accept": false, + "reason": "Both mention moving pipelines across devices, but one is a memory leak and the other is a missing warning for 8-bit CPU offload; not the same bug." + }, + { + "left": "issue:2904", + "right": "issue:3250", + "accept": false, + "reason": "Different pipeline runtime failures with different error modes and likely unrelated causes." + }, + { + "left": "issue:6790", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict incompatibilities, but they involve different models/examples and distinct loading errors." + }, + { + "left": "issue:10447", + "right": "issue:10757", + "accept": false, + "reason": "Same script area, but one is a file-splitting regression for large models and the other is a bad variable name; unrelated fixes." + }, + { + "left": "issue:4790", + "right": "issue:4837", + "accept": false, + "reason": "Both concern conversion scripts, but one is a round-trip incompatibility while the other is an SDXL model conversion failure." + }, + { + "left": "issue:4733", + "right": "issue:7310", + "accept": false, + "reason": "Different training issues: checkpoint resume failure vs defaults not working in an SDXL LoRA script." + }, + { + "left": "issue:6176", + "right": "issue:9876", + "accept": false, + "reason": "Both touch LoRA, but one is a post-training load error and the other is VRAM not being released after training; not the same concrete bug." + }, + { + "left": "issue:6524", + "right": "issue:6561", + "accept": false, + "reason": "Different subsystems: reloading LoRA a second time vs missing IP-Adapter config file." + }, + { + "left": "issue:11225", + "right": "issue:11241", + "accept": false, + "reason": "Different failures in different training scripts: OOM on validation vs floating point exception." + }, + { + "left": "issue:11374", + "right": "issue:13067", + "accept": false, + "reason": "Both are feature requests, but for different model families and integrations." + }, + { + "left": "issue:11561", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but one is support for loading it in FluxFill and the other is SDXL TensorRT integration; not the same change." + }, + { + "left": "issue:1185", + "right": "issue:1944", + "accept": false, + "reason": "Related to DreamBooth reproducibility, but one is a general reproducibility complaint and the other is a specific prompt/result issue." + }, + { + "left": "issue:5412", + "right": "issue:6894", + "accept": false, + "reason": "Different failures: resume-from-checkpoint in training vs LoRA not working in A1111 after training." + }, + { + "left": "issue:5892", + "right": "issue:6794", + "accept": false, + "reason": "Too little evidence that these import errors are the same underlying problem; they name different imports/modules." + }, + { + "left": "issue:8511", + "right": "issue:9358", + "accept": false, + "reason": "Both are about text encoders in training scripts, but one says they are not unloaded while the other says they are redundantly reinitialized; opposite/ \u0905\u0932\u0917 code paths." + }, + { + "left": "issue:4368", + "right": "issue:8950", + "accept": false, + "reason": "Both are LoRA training issues, but one is SDXL CUDA OOM and the other is an SD3 training bug; not the same bug." + }, + { + "left": "issue:12011", + "right": "issue:13079", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and scenarios, so they are not the same concrete defect." + }, + { + "left": "issue:6561", + "right": "issue:7238", + "accept": false, + "reason": "Different IP-Adapter problems: missing config file vs masking 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": 94, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10470", + "issue:10674", + "issue:10989", + "issue:1181", + "issue:12147", + "issue:12321", + "issue:12412", + "issue:12459", + "issue:12565", + "issue:1742", + "issue:2392", + "issue:2439", + "issue:2560", + "issue:2806", + "issue:3363", + "issue:3631", + "issue:3706", + "issue:378", + "issue:3984", + "issue:4241", + "issue:4480", + "issue:4551", + "issue:4665", + "issue:4724", + "issue:4733", + "issue:4849", + "issue:4975", + "issue:4985", + "issue:5474", + "issue:5529", + "issue:5575", + "issue:5606", + "issue:5633", + "issue:5719", + "issue:6136", + "issue:6230", + "issue:6506", + "issue:6520", + "issue:6879", + "issue:7239", + "issue:771", + "issue:8472", + "issue:8939", + "issue:9025", + "issue:9032", + "issue:9443", + "issue:9613" + ], + "soft_pairs": [ + "issue:378|issue:4849", + "issue:2806|issue:771", + "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" + ], + "prepared_review_unit_hash": "c3acc90bd0563cb536e982569493adffbd479ff8870137dd90cdc7ba0750bec9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "The cluster is very heterogeneous, with a few Flux/LoRA/quantization issues and many unrelated pipeline/training bugs. None of the soft pairs look like true duplicates; they mostly share only broad subsystem or model-family wording.", + "confidence": 0.24, + "canonical_issue_reason": "issue:10989 is the clearest concrete bug report in the set, with a specific failure mode (Flux ControlNet LoRA loading breaks when transformers are quantized) and enough discussion to serve as a representative anchor, even though the overall cluster is broad.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10989 is the strongest overall issue candidate because it is specific, reproducible, and clearly bug-oriented rather than a support/question post.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:378", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion embedding loading is unrelated to multi-GPU training advice; not the same bug." + }, + { + "left": "issue:2806", + "right": "issue:771", + "accept": false, + "reason": "Pipeline printing/customized-pipeline handling is unrelated to BF16 DreamBooth failures." + }, + { + "left": "issue:4975", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but one is a performance regression and the other is a functional no-alpha parsing bug; not the same underlying issue." + }, + { + "left": "issue:10470", + "right": "issue:10674", + "accept": false, + "reason": "Both are Flux-related, but torchao inference failure and GGUF pipeline failure are different code paths and model formats." + }, + { + "left": "issue:5575", + "right": "issue:8472", + "accept": false, + "reason": "LoRA hidden-size question is a training-configuration topic, not the same as simultaneous pretraining modules." + }, + { + "left": "issue:10989", + "right": "issue:12147", + "accept": false, + "reason": "Different model families and failure modes: quantized Flux LoRA loading versus Wan2.2 Lightning LoRA loading." + }, + { + "left": "issue:1181", + "right": "issue:4241", + "accept": false, + "reason": "General training-from-scratch vs a question about LoRA fine-tuning support; not duplicates." + }, + { + "left": "issue:3706", + "right": "issue:5474", + "accept": false, + "reason": "Wuerstchen new pipeline proposal is unrelated to Stable Diffusion Reference Only proposal." + }, + { + "left": "issue:6879", + "right": "issue:7239", + "accept": false, + "reason": "Both are dtype/shape errors in training flows, but they arise from different models and mismatched tensor dimensions; not the same bug." + }, + { + "left": "issue:9025", + "right": "issue:9032", + "accept": false, + "reason": "Both are Flax/TPU usage questions, but one is about from_single_file on Kaggle and the other about a minimal example in Colab." + }, + { + "left": "issue:4665", + "right": "issue:5719", + "accept": false, + "reason": "Windows safetensors/bin selection bug is related to file discovery, but the latter is specifically about checking LoRA weight filenames before multiple-file logic." + }, + { + "left": "issue:4985", + "right": "issue:6520", + "accept": false, + "reason": "Both mention training helpers, but one is an OOM in SDXL training and the other is blank validation output in adapter training." + }, + { + "left": "issue:3363", + "right": "issue:4733", + "accept": false, + "reason": "DreamBooth failures on different scripts and error modes; one is a machine-specific training failure, the other a resume/checkpoint optimizer issue." + }, + { + "left": "issue:4551", + "right": "issue:8939", + "accept": false, + "reason": "Different model stacks and different errors: SDXL DreamBooth crash versus SD3 tokenizer loading failure." + }, + { + "left": "issue:12321", + "right": "issue:12412", + "accept": false, + "reason": "Support for HunyuanImage-2.1 and HunyuanImage-3.0 are separate model requests, not duplicates." + }, + { + "left": "issue:2439", + "right": "issue:3631", + "accept": false, + "reason": "Both are pipeline exceptions, but one is inpainting load/run issues and the other is inpainting with provided latents; too different to merge." + }, + { + "left": "issue:5529", + "right": "issue:5633", + "accept": false, + "reason": "Different training/model bugs: train_text_to_image_sdxl versus transformer_temporal implementation issue." + }, + { + "left": "issue:5529", + "right": "issue:6230", + "accept": false, + "reason": "Same script family, but one is a generic bug and the other is a CUDA OOM report; not the same underlying defect." + }, + { + "left": "issue:1742", + "right": "issue:2560", + "accept": false, + "reason": "Inference speed variance for identical prompts is unrelated to different outputs from a list of generators in img2img." + }, + { + "left": "issue:3984", + "right": "issue:4724", + "accept": false, + "reason": "Class-label requirement in one model family is unrelated to SDXL img2img checkpoint behavior." + }, + { + "left": "issue:12459", + "right": "issue:12565", + "accept": false, + "reason": "Throughput regression in Flux batch inference and Wan2.1 i2v runtime issues are different model-specific problems." + }, + { + "left": "issue:4480", + "right": "issue:6136", + "accept": false, + "reason": "Mac M1 fp16 kernel crash and SD2.1 NaNs on Mac CPU are both Mac-related, but they are different failure modes and hardware paths." + }, + { + "left": "issue:9443", + "right": "issue:9613", + "accept": false, + "reason": "Tokenizer instantiation failure in SD3 and Timesteps.scale attribute error are unrelated runtime errors." + }, + { + "left": "issue:2392", + "right": "issue:6506", + "accept": false, + "reason": "Img2Img prompt_embeds validation error and StableVideoDiffusion output_type mismatch are different API 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": 95, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10010", + "issue:1005", + "issue:10954", + "issue:11033", + "issue:11436", + "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:4835", + "issue:5028", + "issue:5432", + "issue:5510", + "issue:5798", + "issue:6130", + "issue:6243", + "issue:6666", + "issue:7146", + "issue:7223", + "issue:7311", + "issue:7682", + "issue:8503", + "issue:861", + "issue:8649", + "issue:8790", + "issue:9051", + "issue:9092", + "issue:9200", + "issue:9527", + "issue:9873" + ], + "soft_pairs": [ + "issue:11436|issue:5510", + "issue:5028|issue:5798", + "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" + ], + "prepared_review_unit_hash": "0a0eaeffa436b1d5ce543f22ebda0c01309e48538133880aee925b31d5b02b8c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33874, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most candidates are only superficially similar by subsystem. I found three likely duplicate pairs: LoRA text-encoder training support, Uni-ControlNet support, and SDXL validation images; the rest are distinct bugs or feature requests.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11436", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype-mismatch errors, but they hit different pipelines/models and different tensor paths, so they are not the same bug." + }, + { + "left": "issue:5028", + "right": "issue:5798", + "accept": false, + "reason": "Both mention unexpected kwargs, but one is a hacked forward hook with `scale` and the other is `callback_on_step_end`; different failures." + }, + { + "left": "issue:11033", + "right": "issue:7682", + "accept": false, + "reason": "One is SD1.5 `from_single_file` loading, the other is multi-GPU SD1.5 training/runtime behavior; unrelated bugs." + }, + { + "left": "issue:3661", + "right": "issue:4213", + "accept": false, + "reason": "Both involve SDXL loading, but one is `from_ckpt` conversion for SD 2.x and the other is `from_single_file` without accelerate; different code paths." + }, + { + "left": "issue:10010", + "right": "issue:11448", + "accept": false, + "reason": "Both are model/resource lookup failures, but they refer to different models and missing artifacts." + }, + { + "left": "issue:10954", + "right": "issue:11648", + "accept": false, + "reason": "Both mention LoRA, but one is FLUX1.dev LoRA loading and the other is fp8 transformer LoRA weights; not the same issue." + }, + { + "left": "issue:8503", + "right": "issue:8649", + "accept": false, + "reason": "Different SD3 problems: one is gradient checkpointing crash, the other is `num_images_per_prompt` handling." + }, + { + "left": "issue:7146", + "right": "issue:7311", + "accept": false, + "reason": "OOM during SDXL fine-tuning and checkpoint save failure are different training-time bugs." + }, + { + "left": "issue:1604", + "right": "issue:3984", + "accept": false, + "reason": "`lpw_stable_diffusion.py` breakage with a specific diffusers version is unrelated to the class-label validation error." + }, + { + "left": "issue:4183", + "right": "issue:4835", + "accept": false, + "reason": "Both are ControlNet-related, but one is a guidance-scale edge case and the other is a MultiControlNetModel bug in SDXL img2img." + }, + { + "left": "issue:3564", + "right": "issue:3569", + "accept": true, + "reason": "Both request Uni-ControlNet support in the pipeline; one is the umbrella support request and the other is the concrete new-pipeline proposal." + }, + { + "left": "issue:7223", + "right": "issue:9873", + "accept": false, + "reason": "Latte video generation and OmniGen image generation are different model/pipeline additions." + }, + { + "left": "issue:3177", + "right": "issue:3296", + "accept": false, + "reason": "Both are DreamBooth training issues, but one is DeepSpeed stage-3 offload breakage and the other is checkpoint save/load with `text_encoder`." + }, + { + "left": "issue:4303", + "right": "issue:4488", + "accept": false, + "reason": "Both concern SDXL loading, but one is a Flax pipeline crash and the other is a checkpoint-conversion helper missing `pipeline_class`." + }, + { + "left": "issue:9051", + "right": "issue:9092", + "accept": false, + "reason": "Batch inference support and missing `model_index.json` are separate FLUXPipeline problems." + }, + { + "left": "issue:1005", + "right": "issue:861", + "accept": false, + "reason": "A timestep constraint question and a ckpt-to-diffusers conversion failure are unrelated." + }, + { + "left": "issue:2210", + "right": "issue:3418", + "accept": true, + "reason": "Both ask for LoRA text-encoder training support in the text-to-image LoRA script; same underlying feature/change." + }, + { + "left": "issue:6243", + "right": "issue:8790", + "accept": false, + "reason": "IP-Adapter Face ID and SDXL TensorRT + IP Adapter are different feature/issues." + }, + { + "left": "issue:2548", + "right": "issue:6130", + "accept": false, + "reason": "Saving failures during LoRA finetuning and loading errors for LoRA are different sides of the workflow and not the same bug." + }, + { + "left": "issue:5432", + "right": "issue:6666", + "accept": true, + "reason": "Both report blank/black validation images during SDXL training, which points to the same validation-image generation bug." + }, + { + "left": "issue:2068", + "right": "issue:4250", + "accept": false, + "reason": "One is about `from_pretrained` dtype conversion semantics, the other is a general incorrect-loading report." + }, + { + "left": "issue:4399", + "right": "issue:4418", + "accept": false, + "reason": "CPU offload/compile incompatibility and `denoising_start` misbehavior in inpaint are unrelated." + }, + { + "left": "issue:9200", + "right": "issue:9527", + "accept": false, + "reason": "Both are dtype errors in ControlNet contexts, but they describe different configurations and likely different failure modes." + }, + { + "left": "issue:1969", + "right": "issue:222", + "accept": false, + "reason": "A specific tensor view/stride runtime error is not the same as a generic training runtime failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis stays grounded in the packet and the soft-edge decisions are conservative. The three accepted pairs are plausibly the same underlying feature/bug, and the rejected pairs are reasonably distinguished by different pipelines, error modes, or request types." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:5544", + "issue:5617", + "issue:579", + "issue:6183", + "issue:6368", + "issue:6686", + "issue:672", + "issue:6967", + "issue:7138", + "issue:7421", + "issue:8609", + "issue:8649", + "issue:8817", + "issue:9576" + ], + "soft_pairs": [ + "issue:6967|issue:7138", + "issue:4724|issue:7421", + "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" + ], + "prepared_review_unit_hash": "199b6b9a0a96e66a76dd86fc42bb60390f6c8ac5a63cd5576d7baf0c5ae8af08", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33462, + "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 mostly heterogeneous: the soft pairs share broad subsystem terms, but none look like the same concrete bug or change. The closest recurring theme is sample-size / batch-shape handling, with issue 10139 the most representative concrete bug report.", + "confidence": 0.36, + "canonical_issue_reason": "Issue 10139 is the clearest concrete bug and the best anchor for the recurring pipeline-init / sample_size theme; it is also one of the more referenced issues in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10139 is the strongest global representative: it is specific, technical, and closer than the others to the common shape/batch initialization problems seen here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6967", + "right": "issue:7138", + "accept": false, + "reason": "Both involve SDXL shape mismatches, but one is dreambooth prior-preservation training and the other is UNet structure compatibility; not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:7421", + "accept": false, + "reason": "Img2Img checkpoint behavior and seed handling in KDiffusion are different code paths and failure modes." + }, + { + "left": "issue:10150", + "right": "issue:10223", + "accept": false, + "reason": "Slow loading/inference performance is unrelated to a question about obtaining a LoRA identifier for inference." + }, + { + "left": "issue:3933", + "right": "issue:4305", + "accept": false, + "reason": "Both mention torch.compile graph breaks, but one is specifically about logging.info and the other is a broader version regression; not clearly the same concrete fix." + }, + { + "left": "issue:11223", + "right": "issue:12011", + "accept": false, + "reason": "Both are Wan OOM reports, but one is tied to Layer Wise Upcasting with LoRAs and the other is a different WAN I2V memory issue." + }, + { + "left": "issue:4724", + "right": "issue:6368", + "accept": false, + "reason": "A checkpoint loading problem is not the same as an unsupported LoRA alpha conversion error." + }, + { + "left": "issue:5617", + "right": "issue:6686", + "accept": false, + "reason": "One is a save/load failure after torch.compile; the other is a performance regression after save/load. Related area, but not the same bug." + }, + { + "left": "issue:4954", + "right": "issue:579", + "accept": false, + "reason": "Unpickling failure and missing config.json are distinct loading errors." + }, + { + "left": "issue:3235", + "right": "issue:3661", + "accept": false, + "reason": "These are opposite conversion directions and different loader bugs." + }, + { + "left": "issue:8609", + "right": "issue:8817", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a custom pipeline integration issue and the other is a faceid usage problem." + }, + { + "left": "issue:12009", + "right": "issue:12147", + "accept": false, + "reason": "GGUF single-file meta-tensor loading failure and Lightning LoRA loading failure are different Wan code paths." + }, + { + "left": "issue:2163", + "right": "issue:3885", + "accept": false, + "reason": "A dtype mismatch in training is unrelated to a question about reducing VRAM usage." + }, + { + "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 assertion/shape bugs." + }, + { + "left": "issue:5544", + "right": "issue:8649", + "accept": false, + "reason": "FreeU disable errors and num_images_per_prompt regressions are unrelated features." + }, + { + "left": "issue:10139", + "right": "issue:10514", + "accept": false, + "reason": "Both mention sample_size, but one is a pipeline-init bug and the other is a Sana-specific resolution-binning limitation; not the same issue." + }, + { + "left": "issue:11657", + "right": "issue:12037", + "accept": false, + "reason": "Missing LoRA key warnings and Lightx2v compatibility with distilled LoRAs are different Wan-LoRA problems." + }, + { + "left": "issue:5128", + "right": "issue:6183", + "accept": false, + "reason": "Both use from_single_file on XL models, but one is a local safetensors load error and the other is an incorrect-shape report; too little to treat as the same bug." + }, + { + "left": "issue:3264", + "right": "issue:672", + "accept": false, + "reason": "These are opposite conversion directions: VAE ckpt to diffusers versus diffusers weights to original CompVis ckpt." + }, + { + "left": "issue:3706", + "right": "issue:3826", + "accept": false, + "reason": "Different new pipeline proposals with no shared underlying bug or feature request." + }, + { + "left": "issue:3591", + "right": "issue:4125", + "accept": false, + "reason": "Both mention loss curves, but one is ControlNet training confusion and the other is LoRA fine-tuning behavior; not duplicates." + }, + { + "left": "issue:12108", + "right": "issue:9576", + "accept": false, + "reason": "A scheduler/flow-matching pipeline break is unrelated to a safetensors propagation bug during pipeline loading." + }, + { + "left": "issue:11135", + "right": "issue:3728", + "accept": false, + "reason": "Two unrelated new pipeline proposals." + }, + { + "left": "issue:1161", + "right": "issue:3698", + "accept": false, + "reason": "Different conversion targets and different workflows." + }, + { + "left": "issue:1524", + "right": "issue:1604", + "accept": false, + "reason": "Poor training quality in textual inversion is unrelated to lpw_stable_diffusion breaking on a specific diffusers version." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:5005", + "issue:5128", + "issue:5226", + "issue:5337", + "issue:5753", + "issue:6141", + "issue:6354", + "issue:6570", + "issue:6823", + "issue:6866", + "issue:6935", + "issue:7021", + "issue:7350", + "issue:7982", + "issue:8296", + "issue:8414", + "issue:8588", + "issue:8708", + "issue:8826", + "issue:8939", + "issue:9044", + "issue:9112", + "issue:9187", + "issue:9362", + "issue:9619", + "issue:9971" + ], + "soft_pairs": [ + "issue:5226|issue:5753", + "issue:6866|issue:6935", + "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" + ], + "prepared_review_unit_hash": "f6701972108a3098c7f716bc36141e4026ac5fa91431eb4563e1078eb7891538", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33476, + "estimated_input_tokens": 8369, + "estimated_eval_tokens": 16994 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous; most pairs are only superficially related by subsystem or symptom wording, not the same underlying bug. I would not merge any of the soft-edge candidates as duplicates.", + "confidence": 0.33, + "canonical_issue_reason": "Issue 10475 is the best representative of the only loosely coherent theme in the set: SD3 image-quality / inference output complaints. It is broader and more descriptive than the specific 'grey images' report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10475 is the strongest global issue candidate because it captures the most general and reusable problem statement among the image-quality reports, while the rest of the items are mostly unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5226", + "right": "issue:5753", + "accept": false, + "reason": "Both involve load_lora_weights in SDXL variants, but they target different pipelines and do not clearly describe the same bug." + }, + { + "left": "issue:6866", + "right": "issue:6935", + "accept": false, + "reason": "IP-Adapter support request vs face-id feature/problem; related area, but not the same concrete issue." + }, + { + "left": "issue:8588", + "right": "issue:8708", + "accept": false, + "reason": "One is a missing conversion script, the other a missing config field in training examples; unrelated fixes." + }, + { + "left": "issue:8939", + "right": "issue:9044", + "accept": false, + "reason": "Tokenizer-loading failure and missing diffusion weight file are different model-loading errors." + }, + { + "left": "issue:5005", + "right": "issue:8296", + "accept": false, + "reason": "Both are training resume topics, but one is a progress-bar display bug and the other is step accounting inconsistency." + }, + { + "left": "issue:2774", + "right": "issue:5128", + "accept": false, + "reason": "Different loading/conversion paths: ControlNet safetensors conversion vs from_single_file local safetensors loading." + }, + { + "left": "issue:1616", + "right": "issue:3761", + "accept": false, + "reason": "Both mention community pipelines, but one is a version-specific pipeline issue and the other is multi-pipeline loading in one process." + }, + { + "left": "issue:6570", + "right": "issue:8826", + "accept": false, + "reason": "Completely different tensor-shape failures and likely different code paths." + }, + { + "left": "issue:6141", + "right": "issue:6354", + "accept": false, + "reason": "ControlNet parameter support vs ControlNet LoRA support; same subsystem, different change requests." + }, + { + "left": "issue:6141", + "right": "issue:9619", + "accept": false, + "reason": "Adding interrupt support is unrelated to the ControlNet control_mode/resize_mode feature request." + }, + { + "left": "issue:1572", + "right": "issue:1866", + "accept": false, + "reason": "Img2img/inpainting pipeline breakage is not the same as a scheduler strength-value bug." + }, + { + "left": "issue:4186", + "right": "issue:7982", + "accept": false, + "reason": "SDXL inpaint/refiner compatibility and MultiControlNet from_pipe behavior are separate issues." + }, + { + "left": "issue:6823", + "right": "issue:7350", + "accept": false, + "reason": "General ControlNet failure vs initializing ControlNet from a LoRA-modified UNet; not the same bug." + }, + { + "left": "issue:10040", + "right": "issue:10475", + "accept": false, + "reason": "Both are SD3 image-quality complaints, but one is a specific grey-output symptom and the other is a broader quality comparison issue." + }, + { + "left": "issue:12108", + "right": "issue:12175", + "accept": false, + "reason": "Scheduler/flow-matching breakage is a different problem from low-quality Qwen Image outputs." + }, + { + "left": "issue:10311", + "right": "issue:7021", + "accept": false, + "reason": "Different import errors with different causes; no shared code-path evident." + }, + { + "left": "issue:1704", + "right": "issue:3539", + "accept": false, + "reason": "These are general questions, not matching bugs or changes." + }, + { + "left": "issue:1823", + "right": "issue:5337", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to a question about the callback function." + }, + { + "left": "issue:11006", + "right": "issue:11779", + "accept": false, + "reason": "Different Wan pipelines and different defects: broken video output vs incorrect mask padding." + }, + { + "left": "issue:2161", + "right": "issue:2185", + "accept": false, + "reason": "LoRA training on inpainting and missing config files for naive text-to-image training are separate setup issues." + }, + { + "left": "issue:3788", + "right": "issue:8414", + "accept": false, + "reason": "A new pipeline request and a new model request are unrelated artifacts." + }, + { + "left": "issue:3910", + "right": "issue:4061", + "accept": false, + "reason": "Both concern LoRA loading, but the titles point to different pipeline/model contexts without evidence of the same bug." + }, + { + "left": "issue:9112", + "right": "issue:9362", + "accept": false, + "reason": "Different runtime errors with different tensor/index failure modes." + }, + { + "left": "issue:9187", + "right": "issue:9971", + "accept": false, + "reason": "IP-Adapter behavior after Kolors update and a FLUX scheduler 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": 98, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10512", + "issue:10722", + "issue:10760", + "issue:10782", + "issue:10863", + "issue:1109", + "issue:11136", + "issue:11182", + "issue:11221", + "issue:11374", + "issue:12126", + "issue:13053", + "issue:1475", + "issue:2250", + "issue:2437", + "issue:2856", + "issue:3250", + "issue:3454", + "issue:3672", + "issue:3891", + "issue:4185", + "issue:4250", + "issue:4307", + "issue:4324", + "issue:4446", + "issue:4727", + "issue:4808", + "issue:4888", + "issue:5455", + "issue:579", + "issue:5821", + "issue:6371", + "issue:6548", + "issue:6666", + "issue:6689", + "issue:7185", + "issue:7420", + "issue:7516", + "issue:7708", + "issue:834", + "issue:8787", + "issue:8894", + "issue:8939", + "issue:9108", + "issue:9343", + "issue:9415", + "issue:9667" + ], + "soft_pairs": [ + "issue:4808|issue:6548", + "issue:8787|issue:9667", + "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" + ], + "prepared_review_unit_hash": "e76c0812a837f6d38e93b9cd4c6d6c03a74030890aa734ea7c5a5d63887f5b2a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "The cluster is mostly heterogeneous, with only two clear duplicate subgroups: offline/local_files_only loading errors and CPU under-utilization reports. Most other soft links are broad-similarity matches rather than the same concrete bug.", + "confidence": 0.78, + "canonical_issue_reason": "No single canonical issue covers the whole cluster because the items split into several unrelated bugs and feature requests; the accepted duplicate subgroups are separate.", + "canonical_pr_reason": "No pull requests are present in this cluster.", + "best_issue_reason": "#4727 is the best representative of the clearest accepted duplicate subgroup because it states the broader local_files_only loading problem that #4307 also reports.", + "best_pr_reason": "No pull requests are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:4808", + "right": "issue:6548", + "accept": false, + "reason": "Different bugs in different img2img paths: SHAP-E integration test failure vs RGBA image handling in prepare_latents." + }, + { + "left": "issue:8787", + "right": "issue:9667", + "accept": false, + "reason": "Both are loading-related, but one is generic model-loading slowness and the other is a specific FLUX fp8/local transformer import/load error." + }, + { + "left": "issue:3454", + "right": "issue:4324", + "accept": false, + "reason": "DreamBooth LoRA script failure and a UNet forward NoneType error are different concrete failures." + }, + { + "left": "issue:1475", + "right": "issue:579", + "accept": false, + "reason": "Training with mixed class images and missing config.json in textual inversion are unrelated issues." + }, + { + "left": "issue:10782", + "right": "issue:7185", + "accept": false, + "reason": "A Lumina Image minor issue and a PyTorch version-compatibility question are not the same bug." + }, + { + "left": "issue:2437", + "right": "issue:3891", + "accept": false, + "reason": "Both are feature requests, but they request different pipelines and do not share a single underlying change." + }, + { + "left": "issue:2250", + "right": "issue:3672", + "accept": false, + "reason": "DreamBooth inference prompt failure and a concurrent-thread StableDiffusionPipeline failure are different code-path problems." + }, + { + "left": "issue:11136", + "right": "issue:12126", + "accept": false, + "reason": "Different pipelines and different failure modes: unsupported SCM timesteps vs cache_context NoneType during transformer switching." + }, + { + "left": "issue:5455", + "right": "issue:6371", + "accept": false, + "reason": "Example notebook failure for DreamBooth+LoRA and a ControlNet-XS assertion are separate issues." + }, + { + "left": "issue:10722", + "right": "issue:11221", + "accept": false, + "reason": "Tensor-size mismatch during DreamBooth prior preservation and autoencoder non-convergence are unrelated training problems." + }, + { + "left": "issue:8894", + "right": "issue:9415", + "accept": false, + "reason": "A training script error and a model class parameter/export issue are not the same bug." + }, + { + "left": "issue:4446", + "right": "issue:7420", + "accept": false, + "reason": "Custom text_encoder loading in from_single_file and torch.compile support are unrelated." + }, + { + "left": "issue:11374", + "right": "issue:13053", + "accept": false, + "reason": "Both are feature requests, but they target different model/pipeline additions." + }, + { + "left": "issue:7708", + "right": "issue:8939", + "accept": false, + "reason": "Both mention tokenizer loading, but the model targets and failure causes differ enough that they do not look like one concrete bug." + }, + { + "left": "issue:3250", + "right": "issue:5821", + "accept": false, + "reason": "A pipeline runtime failure and a CUDA backward training error are unrelated." + }, + { + "left": "issue:4250", + "right": "issue:4888", + "accept": false, + "reason": "Incorrect from_pretrained loading and fully-offline safetensors loading are different load-path issues." + }, + { + "left": "issue:10863", + "right": "issue:9667", + "accept": false, + "reason": "Local safetensors loading failure and local FLUX fp8 transformer loading failure are different concrete problems." + }, + { + "left": "issue:11182", + "right": "issue:9343", + "accept": false, + "reason": "Unnecessary BF16 downloads and a FLUX ignore_mismatched_sizes/low_cpu_mem_usage error are not the same bug." + }, + { + "left": "issue:10512", + "right": "issue:9108", + "accept": false, + "reason": "LoRA loading for FLUX Quanto and resuming training with a quantized base model are related to quantization but not the same failure." + }, + { + "left": "issue:4185", + "right": "issue:6666", + "accept": false, + "reason": "Both mention black images, but one is ControlNet SDXL inference and the other is validation-image output; the concrete paths differ." + }, + { + "left": "issue:2856", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-to-diffusers topics, but one is generic and the other is a specific SSD-1B conversion failure; not enough evidence of one shared bug." + }, + { + "left": "issue:4307", + "right": "issue:4727", + "accept": true, + "reason": "Both report the same offline/local_files_only loading path breaking model resolution; #4727 is the broader manifestation and #4307 is a specific from_pretrained error." + }, + { + "left": "issue:10760", + "right": "issue:7516", + "accept": false, + "reason": "Missing exported pipeline attributes, but for different classes; this looks like separate import/export gaps." + }, + { + "left": "issue:1109", + "right": "issue:834", + "accept": true, + "reason": "Both describe CPU under-utilization / only partial core usage, which is the same underlying performance complaint." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it identifies only the two soft pairs marked acceptable, avoids overclaiming broader duplication, and correctly notes there are no PRs. The rejected pair rationales also read as cautious rather than 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": 99, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10010", + "issue:10150", + "issue:10636", + "issue:1083", + "issue:10937", + "issue:11046", + "issue:11418", + "issue:11584", + "issue:11661", + "issue:12078", + "issue:12459", + "issue:12505", + "issue:12728", + "issue:1909", + "issue:2068", + "issue:2091", + "issue:2163", + "issue:2321", + "issue:2560", + "issue:2984", + "issue:3348", + "issue:3451", + "issue:3564", + "issue:3944", + "issue:4321", + "issue:4974", + "issue:5160", + "issue:5168", + "issue:5442", + "issue:5466", + "issue:5504", + "issue:5693", + "issue:5917", + "issue:5969", + "issue:6136", + "issue:6176", + "issue:6518", + "issue:6832", + "issue:7049", + "issue:7418", + "issue:7770", + "issue:8518", + "issue:8534", + "issue:8557", + "issue:861", + "issue:9223", + "issue:9546", + "issue:9927" + ], + "soft_pairs": [ + "issue:10150|issue:12505", + "issue:2984|issue:5442", + "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" + ], + "prepared_review_unit_hash": "63b5803a1dd448588a9fbaf90e0103ada874713444092f465d4010c01e6c2658", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34152, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one soft edge looks like a true duplicate: the list-of-generators bug in pipelines/schedulers (issue 1909 and issue 2560). The other pairs share broad keywords like FLUX, ControlNet, LoRA, torch.compile, or IP-Adapter, but describe different concrete failures and should stay separate.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 1909 is the best canonical issue: it states the underlying incompatibility between pipeline-level list-of-generators support and scheduler expectations, which is the broader root cause behind the duplicate symptom in 2560.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1909 is the strongest overall issue here because it is the clearest and most general statement of the shared bug, while 2560 is a narrower symptom report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10150", + "right": "issue:12505", + "accept": false, + "reason": "Both mention SDXL/Flux pipeline performance or errors, but one is a slow-loading/inference report and the other is a tgate runtime failure in img2img pipelines; different concrete bugs." + }, + { + "left": "issue:2984", + "right": "issue:5442", + "accept": false, + "reason": "Different domains and failure modes: long-video generation research topic vs ScaleCrafter high-resolution generation pipeline." + }, + { + "left": "issue:3348", + "right": "issue:5504", + "accept": false, + "reason": "Both involve LoRA/xformers, but one is about adding scale-parameter support while the other is a broader PEFT LoRA malfunction; not the same bug." + }, + { + "left": "issue:10636", + "right": "issue:7418", + "accept": false, + "reason": "Unrelated bugs: value_guided_sampling.py issue vs a specific community pipeline line-level bug." + }, + { + "left": "issue:5693", + "right": "issue:6176", + "accept": false, + "reason": "Both are loading-related, but one is a VAE load error and the other is loading LoRA weights after dreambooth_lora training; different code paths." + }, + { + "left": "issue:6832", + "right": "issue:7049", + "accept": false, + "reason": "Both are IP-Adapter example failures, but they hit different pipelines and different exceptions; not enough evidence of one shared root cause." + }, + { + "left": "issue:1083", + "right": "issue:4321", + "accept": false, + "reason": "Both are ONNX/FP16 issues, but one is incorrect output and the other is black images on DirectML; backend/context differs." + }, + { + "left": "issue:5466", + "right": "issue:7770", + "accept": false, + "reason": "Both mention LoRA shape mismatches, but one is SDXL img2img loading a LoRA file and the other is a Python loading path mismatch; too broad to merge." + }, + { + "left": "issue:12728", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile failures, but they are for different models and different unsupported behaviors." + }, + { + "left": "issue:2091", + "right": "issue:3451", + "accept": false, + "reason": "Checkpoint-resume multi-GPU training bug vs fp16 memory usage issue; unrelated." + }, + { + "left": "issue:9546", + "right": "issue:9927", + "accept": false, + "reason": "Both are ControlNet training issues, but one is OOM during validation and the other is a header-too-large error; distinct problems." + }, + { + "left": "issue:10937", + "right": "issue:11584", + "accept": false, + "reason": "Both mention torch.compile, but the failing code paths and model setups differ substantially." + }, + { + "left": "issue:11661", + "right": "issue:12078", + "accept": false, + "reason": "Same Flux-Control area, but one is a None-handling bug for max_train_steps and the other is about validation input examples; not the same defect." + }, + { + "left": "issue:11046", + "right": "issue:12459", + "accept": false, + "reason": "Both are FLUX-related, but one is a composite inference feature bug and the other is a batch throughput issue." + }, + { + "left": "issue:10010", + "right": "issue:11418", + "accept": false, + "reason": "Both are FLUX Fill-related, but one is a missing model_index.json fetch and the other is how to add an fp8 safetensors file." + }, + { + "left": "issue:3944", + "right": "issue:5160", + "accept": false, + "reason": "Both touch Dreambooth/LoRA, but one asks for customizable network rank and the other for masking support; different feature requests." + }, + { + "left": "issue:5969", + "right": "issue:6136", + "accept": false, + "reason": "Both report NaNs, but they arise from different samplers/platforms and likely different causes." + }, + { + "left": "issue:2163", + "right": "issue:6518", + "accept": false, + "reason": "Different training scripts and different error types; no shared underlying bug is evident." + }, + { + "left": "issue:4974", + "right": "issue:861", + "accept": false, + "reason": "Both are model-to-diffusers conversion issues, but one is about safetensors and the other about ckpt conversion; too generic to treat as duplicates." + }, + { + "left": "issue:2068", + "right": "issue:2321", + "accept": false, + "reason": "dtype conversion in from_pretrained is unrelated to EMA weight copying during inference." + }, + { + "left": "issue:1909", + "right": "issue:2560", + "accept": true, + "reason": "Same underlying bug: pipeline support for a list of torch generators is inconsistent with scheduler handling, and 2560 is a concrete symptom of the issue described in 1909." + }, + { + "left": "issue:3564", + "right": "issue:5168", + "accept": false, + "reason": "Different ControlNet variants (Uni-ControlNet vs ControlNet-XS), so these are separate feature requests." + }, + { + "left": "issue:5917", + "right": "issue:9223", + "accept": false, + "reason": "convert_ldm_unet_checkpoint regression is unrelated to the pyarrow dependency conflict." + }, + { + "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 handling; separate bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge calls are conservative. The only accepted pair, issue 1909 vs 2560, is well-supported as the same list-of-generators/scheduler bug. The other pairs are appropriately rejected as sharing only broad keywords or adjacent subsystems rather than a clear shared defect." + }, + "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": 100, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10057", + "issue:10191", + "issue:10782", + "issue:1083", + "issue:1099", + "issue:11024", + "issue:11247", + "issue:12459", + "issue:12666", + "issue:12738", + "issue:1363", + "issue:1475", + "issue:1524", + "issue:1539", + "issue:1543", + "issue:2081", + "issue:2083", + "issue:2321", + "issue:2371", + "issue:2991", + "issue:3101", + "issue:3184", + "issue:3235", + "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:7286", + "issue:7400", + "issue:7770", + "issue:817", + "issue:9637", + "issue:9717", + "issue:9856", + "issue:9911" + ], + "soft_pairs": [ + "issue:2083|issue:3184", + "issue:3235|issue:7286", + "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" + ], + "prepared_review_unit_hash": "1f4874433733071f5c73148049b7f151d0f20e2eaa44dbf7d3ae116e55fa3c27", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "The cluster is mostly a false-positive grab bag: it mixes unrelated model, training, conversion, and runtime issues across many pipelines. None of the soft pairs look like the same underlying bug/change, so I would not merge any of them.", + "confidence": 0.86, + "canonical_issue_reason": "issue:11247 is the most concrete open code-path bug in the set and the closest thing to a central technical issue; most other items are orthogonal or much narrower.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11247 is the best global representative because it is open, specific, and clearly reproducible, but the overall cluster still does not form a true duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2083", + "right": "issue:3184", + "accept": false, + "reason": "Both mention generators, but one is about DDIM eta handling and the other about a generator list in a community pipeline; different bugs." + }, + { + "left": "issue:3235", + "right": "issue:7286", + "accept": false, + "reason": "Custom Diffusion weight-loading and SD/Attend-and-Excite cross-attention behavior are unrelated failure modes." + }, + { + "left": "issue:4790", + "right": "issue:5737", + "accept": false, + "reason": "Both are conversion-script problems, but they target different scripts and different model families/steps in the conversion flow." + }, + { + "left": "issue:10057", + "right": "issue:11024", + "accept": false, + "reason": "Flux single-file token handling and SiglipImageProcessor .to() support are different components and different runtime errors." + }, + { + "left": "issue:12459", + "right": "issue:12738", + "accept": false, + "reason": "Both involve batching, but one is a throughput concern in FLUX.1-Kontext-dev and the other is an assertion failure in ZImagePipeline." + }, + { + "left": "issue:2371", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth output omission and mixed-precision training instability are separate training bugs." + }, + { + "left": "issue:1524", + "right": "issue:1543", + "accept": false, + "reason": "Poor training quality and inability to set revision='fp16' are different textual inversion issues." + }, + { + "left": "issue:1539", + "right": "issue:3799", + "accept": false, + "reason": "Both are type-related, but they occur in different APIs and describe different typing problems." + }, + { + "left": "issue:2321", + "right": "issue:5621", + "accept": false, + "reason": "EMA-weight inference behavior and SDXL ControlNet encoder_hid_proj support are unrelated." + }, + { + "left": "issue:2081", + "right": "issue:5224", + "accept": false, + "reason": "Both concern JAX/Flax conversion paths, but the reported failures are different and not the same code-path bug." + }, + { + "left": "issue:4402", + "right": "issue:7168", + "accept": false, + "reason": "SDXL from_single_file loading and IP-Adapter embed tensor-shape handling are distinct issues." + }, + { + "left": "issue:10191", + "right": "issue:9856", + "accept": false, + "reason": "GPU selection being ignored and distributed port conflicts are separate infrastructure/runtime problems." + }, + { + "left": "issue:2991", + "right": "issue:3101", + "accept": false, + "reason": "Both touch ControlNet training, but one is mixed-precision failure and the other is a generic training error with no clear shared root cause." + }, + { + "left": "issue:6258", + "right": "issue:7400", + "accept": false, + "reason": "Forward chunking quality degradation and black-image output in stable video diffusion are different symptoms with no clear shared fix." + }, + { + "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 a broader can't-run report; not enough to treat as the same bug." + }, + { + "left": "issue:9717", + "right": "issue:9911", + "accept": false, + "reason": "Flux docker image setup and multi-ControlNet layer-length mismatch are unrelated." + }, + { + "left": "issue:10782", + "right": "issue:12666", + "accept": false, + "reason": "Different model families and different issue types; no shared code path." + }, + { + "left": "issue:1083", + "right": "issue:1363", + "accept": false, + "reason": "Both are ONNX-related, but one is incorrect FP16 output and the other is a prompt-weight/scheduler error; different bugs." + }, + { + "left": "issue:11247", + "right": "issue:9637", + "accept": false, + "reason": "Flux multi-GPU controlnet distribution and XFormer attention-mask/bfloat16 edge-case are separate low-level failures." + }, + { + "left": "issue:4724", + "right": "issue:6283", + "accept": false, + "reason": "Both are SDXL img2img issues, but one is a checkpoint-compatibility problem and the other is a strength=0 ControlNet edge case." + }, + { + "left": "issue:1099", + "right": "issue:1475", + "accept": false, + "reason": "Dreambooth class-name handling and training with two class types are different training/data issues." + }, + { + "left": "issue:7003", + "right": "issue:7770", + "accept": false, + "reason": "Both mention shape mismatches, but they involve different tensors and different loading paths." + }, + { + "left": "issue:3279", + "right": "issue:3363", + "accept": false, + "reason": "Same script, but one is resume-from-checkpoint failure and the other is machine-specific failure; not clearly the same underlying bug." + }, + { + "left": "issue:3405", + "right": "issue:5972", + "accept": false, + "reason": "A controlnet training bug and a documentation issue about Min-SNR weighting 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": 101, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10055", + "issue:10178", + "issue:10382", + "issue:10412", + "issue:10782", + "issue:10932", + "issue:1100", + "issue:11222", + "issue:11584", + "issue:11674", + "issue:12195", + "issue:1543", + "issue:1695", + "issue:1734", + "issue:2053", + "issue:2988", + "issue:3480", + "issue:4073", + "issue:4086", + "issue:4217", + "issue:4303", + "issue:4427", + "issue:4686", + "issue:4697", + "issue:4876", + "issue:4993", + "issue:5128", + "issue:5687", + "issue:5894", + "issue:5932", + "issue:6096", + "issue:6283", + "issue:660", + "issue:6879", + "issue:6880", + "issue:7159", + "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:10055|issue:10412", + "issue:10932|issue:11584", + "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" + ], + "prepared_review_unit_hash": "9c21b7a0314e764593e34543b0b274a13538783eee5ddd337cd3bc6eeb48767c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33957, + "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 a loose mix of unrelated Diffusers bugs, feature requests, and model-specific regressions (training, ControlNet, LoRA, safetensors loading, torch.compile, VAE/autoencoder issues). There is no single underlying bug/change that clearly ties the whole set together, and none of the proposed soft edges look like true duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No clear canonical issue: the items span many distinct code paths and model families, so any one issue would be misleading as a representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10055", + "right": "issue:10412", + "accept": false, + "reason": "Both are SD3 training-related, but one is about a ControlNet training script not working and the other is about extreme VRAM usage during SD3.5 DreamBooth; same area, not the same bug." + }, + { + "left": "issue:10932", + "right": "issue:11584", + "accept": false, + "reason": "Both involve torch.compile and HunyuanVideo, but one is a recompile_limit problem in pipe.transformer.compile() and the other is an incompatibility with group offloading on a different pipeline path." + }, + { + "left": "issue:11222", + "right": "issue:11674", + "accept": false, + "reason": "Both touch WAN/VACE features, but one requests more LoRAs and the other requests ref images and multiple control videos; these are different feature requests." + }, + { + "left": "issue:4217", + "right": "issue:5128", + "accept": false, + "reason": "Both mention safetensors/loading, but one is slow loading time and the other is an error loading a local .safetensors via from_single_file; different failure modes." + }, + { + "left": "issue:4686", + "right": "issue:4697", + "accept": false, + "reason": "Both are loading problems, but one is about loading a saved StableDiffusionUpscalePipeline and the other is about a specific LoRA after an update; not the same underlying issue." + }, + { + "left": "issue:9045", + "right": "issue:9895", + "accept": false, + "reason": "Both mention Flux device behavior, but one is about converting StableDiffusion3Pipeline with accelerate/peft and the other is a FluxPipeline cuda/cpu device mismatch after a specific commit." + }, + { + "left": "issue:2988", + "right": "issue:4303", + "accept": false, + "reason": "Scheduler crash when training steps equal inference steps is unrelated to FlaxStableDiffusionPipeline failing to load SDXL." + }, + { + "left": "issue:3480", + "right": "issue:4876", + "accept": false, + "reason": "One asks for a scale parameter on text encoder LoRA layers, the other asks for a std argument for LoRA layers; similar theme but different API requests." + }, + { + "left": "issue:6879", + "right": "issue:6880", + "accept": false, + "reason": "Both are Custom Diffusion, but one is a dtype mismatch runtime error and the other is a retrieve.py issue; not the same bug." + }, + { + "left": "issue:4427", + "right": "issue:7660", + "accept": false, + "reason": "Different examples failing in different contexts: T2I Multiadapter example versus Trace example; no evidence they share the same underlying defect." + }, + { + "left": "issue:1100", + "right": "issue:4073", + "accept": false, + "reason": "Both are attribute errors, but one is CLIPTextTransformer missing device and the other is Tensor missing astype in the DeepFloyd IF safety checker; unrelated code paths." + }, + { + "left": "issue:1543", + "right": "issue:660", + "accept": false, + "reason": "Both mention fp16/revision/device contexts, but one is textual inversion revision handling and the other is MPS float16 execution; different bugs." + }, + { + "left": "issue:1695", + "right": "issue:1734", + "accept": false, + "reason": "Both involve multi-GPU training, but one is dreambooth with deepspeed and the other is an accelerate performance regression; not the same issue." + }, + { + "left": "issue:9525", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux/LoRA related, but one says lora_scale has no effect when loading with Flux while the other is a Flux LoRA loading failure; different symptoms and likely different fixes." + }, + { + "left": "issue:9012", + "right": "issue:9496", + "accept": false, + "reason": "Both concern SD3ControlNetModel, but one is load_weights via from_transformer and the other is a forward-function error; distinct code paths." + }, + { + "left": "issue:4086", + "right": "issue:7982", + "accept": false, + "reason": "Both involve ControlNet/multi-control usage, but one is SDXL ControlNet training not working and the other is from_pipe with MultiControlNetModel; different problems." + }, + { + "left": "issue:2053", + "right": "issue:4993", + "accept": false, + "reason": "One reports increased VRAM usage in a release, the other is a missing import_structure export for CLIPImageProjection; unrelated." + }, + { + "left": "issue:5687", + "right": "issue:6283", + "accept": false, + "reason": "Both are timestep/strength edge cases in img2img/controlnet-like flows, but one is duplicate timesteps with Karras sigmas and the other is strength=0 handling in SDXL ControlNet img2img; not clearly the same bug." + }, + { + "left": "issue:6096", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile, but one is a DynamicOutputShapeException in SVD and the other is LoRA fusion still failing under compile; different models and failure mechanisms." + }, + { + "left": "issue:10382", + "right": "issue:8604", + "accept": false, + "reason": "Both are VAE/encoder-related, but one is a forward return-type mismatch causing AttributeError and the other is T5 text encoder float16 corruption; different components and errors." + }, + { + "left": "issue:8832", + "right": "issue:9106", + "accept": false, + "reason": "Both are generic runtime crashes in generation, but one is a pipe(prompt).images[0] crash and the other is a PixArt Alpha time_step attribute error; not the same bug." + }, + { + "left": "issue:10178", + "right": "issue:9112", + "accept": false, + "reason": "Both report shape/dimension mismatches, but they are in different modules and likely different tensor contracts (3D UNet blocks vs Auraflow inference)." + }, + { + "left": "issue:10782", + "right": "issue:12195", + "accept": false, + "reason": "Both relate to autoencoder/VAE behavior, but one is a minor Lumina Image 2.0 issue and the other is a PyTorch 2.3.1 custom_op compatibility failure in AutoencoderKL; different underlying causes." + }, + { + "left": "issue:5894", + "right": "issue:5932", + "accept": false, + "reason": "Both are runtime errors, but one is an invalid buffer size and the other is a channel mismatch with a 4-channel input expectation; 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": 102, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10150", + "issue:10334", + "issue:10674", + "issue:1076", + "issue:10914", + "issue:11827", + "issue:12082", + "issue:12459", + "issue:12529", + "issue:2364", + "issue:2554", + "issue:2784", + "issue:3174", + "issue:3191", + "issue:3450", + "issue:3694", + "issue:3803", + "issue:3805", + "issue:4043", + "issue:4186", + "issue:4305", + "issue:4389", + "issue:4476", + "issue:4788", + "issue:4852", + "issue:4975", + "issue:5259", + "issue:5314", + "issue:5474", + "issue:5575", + "issue:5577", + "issue:5606", + "issue:5630", + "issue:5997", + "issue:6201", + "issue:6333", + "issue:6372", + "issue:7142", + "issue:7243", + "issue:7263", + "issue:7420", + "issue:7722", + "issue:7785", + "issue:7982", + "issue:8472", + "issue:9484", + "issue:9763" + ], + "soft_pairs": [ + "issue:4389|issue:5577", + "issue:2784|issue:7243", + "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" + ], + "prepared_review_unit_hash": "49d0bf242f3128f01be1c57db54eea909bb5da4d72a977de780f0053ba013492", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33216, + "estimated_input_tokens": 8304, + "estimated_eval_tokens": 16864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous issue set: many are unrelated model-specific bugs, feature requests, or environment/performance reports that only share generic diffusion/loading language. I only see a couple of plausible duplicate pairs; the rest should stay separate.", + "confidence": 0.86, + "canonical_issue_reason": "issue:10150 is the broadest performance umbrella here ('slow loading and inference') and is the closest match to the only near-performance duplicate candidate, but it still does not cover most of the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10914 is the best live, general-purpose issue to keep as a current umbrella for runtime/offload symptoms; it is open and more broadly actionable than the narrower or closed reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4389", + "right": "issue:5577", + "accept": false, + "reason": "Both are loading errors, but one is a ControlNet single-file KeyError and the other is a generic LoRA state-dict key error; different code paths and models." + }, + { + "left": "issue:2784", + "right": "issue:7243", + "accept": false, + "reason": "A Dreambooth support feature request is not the same change as a ResAdapter proposal; different features, not duplicates." + }, + { + "left": "issue:4043", + "right": "issue:6201", + "accept": false, + "reason": "Both mention prompt embeddings, but 4043 is SDXL-specific pooled-embed handling while 6201 is prompt encoding behavior in the base pipeline; not the same bug." + }, + { + "left": "issue:3803", + "right": "issue:5575", + "accept": false, + "reason": "Multi-GPU training sharing and a question about LoRA hidden size are unrelated training topics." + }, + { + "left": "issue:10334", + "right": "issue:10914", + "accept": false, + "reason": "Sana on MacOS with gray/NaN outputs is a model/backend bug, not the same as unintended CPU offloading." + }, + { + "left": "issue:10674", + "right": "issue:7982", + "accept": false, + "reason": "GGUF support failure in FluxPipeline is unrelated to `from_pipe` with MultiControlNetModel." + }, + { + "left": "issue:2364", + "right": "issue:3805", + "accept": false, + "reason": "Both are generic run failures, but they describe different scripts/environments and different failure modes." + }, + { + "left": "issue:4305", + "right": "issue:7420", + "accept": false, + "reason": "Both involve `torch.compile`, but one is a specific v0.19.0 graph-break regression and the other is a broader inability to compile; not enough to merge." + }, + { + "left": "issue:4186", + "right": "issue:4788", + "accept": false, + "reason": "Inpaint/refiner correctness vs out-of-memory on 6 GB VRAM are different failure modes." + }, + { + "left": "issue:9484", + "right": "issue:9763", + "accept": false, + "reason": "Dreambooth multi-GPU training and token truncation in Flux ControlNet training are separate issues." + }, + { + "left": "issue:11827", + "right": "issue:12459", + "accept": false, + "reason": "A safetensors header corruption/loading error is unrelated to batch inference throughput." + }, + { + "left": "issue:12082", + "right": "issue:12529", + "accept": false, + "reason": "Extra GPU memory after compile and a tiled-VAE tensor size mismatch are different Wan model bugs." + }, + { + "left": "issue:3694", + "right": "issue:5259", + "accept": true, + "reason": "Both report missing `model_index.json` during pipeline/model loading in the training/example flow; same underlying file-not-found problem." + }, + { + "left": "issue:2554", + "right": "issue:3450", + "accept": false, + "reason": "An unreleased accelerate-version requirement is a dependency issue, not the same as `from_ckpt` failing on dev versions." + }, + { + "left": "issue:3174", + "right": "issue:3191", + "accept": true, + "reason": "Both describe LoRA + Dreambooth model loading breaking on the same composite-model path; they look like the same regression." + }, + { + "left": "issue:5314", + "right": "issue:6372", + "accept": false, + "reason": "A ControlNet reference inpainting pipeline request and SVD + ControlNet are distinct pipeline ideas." + }, + { + "left": "issue:5630", + "right": "issue:7142", + "accept": false, + "reason": "Residual noise in SDXL img2img with LMS scheduler is not the same as SDXL-lightning output differing from webui." + }, + { + "left": "issue:4476", + "right": "issue:5997", + "accept": false, + "reason": "Expected-results mismatch on sdxl+controlnet fill50k is unrelated to the tutorial type-instantiation error." + }, + { + "left": "issue:4852", + "right": "issue:4975", + "accept": false, + "reason": "A generic LoRA loading error is not the same as a performance inefficiency caused by repeated datatype queries." + }, + { + "left": "issue:3174", + "right": "issue:5606", + "accept": false, + "reason": "LoRA+Dreambooth loading breakage and missing-alpha LoRA loading are different bugs." + }, + { + "left": "issue:1076", + "right": "issue:5474", + "accept": false, + "reason": "A general stable-diffusion-v1-5 question is unrelated to a new reference-only pipeline proposal." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted soft pairs are plausible duplicates, and the other pair verdicts do not overclaim similarity. The issue-selection rationale is also supported by the titles/states in the packet." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3064", + "issue:3824", + "issue:3901", + "issue:4306", + "issue:4542", + "issue:4724", + "issue:4888", + "issue:5840", + "issue:6069", + "issue:6130", + "issue:6196", + "issue:6278", + "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:9664", + "issue:9729", + "issue:9825", + "issue:9876", + "issue:9927" + ], + "soft_pairs": [ + "issue:3064|issue:6130", + "issue:4542|issue:4724", + "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" + ], + "prepared_review_unit_hash": "e57186b5e0e8401f5d15f90c691b8dc3fbf514ba2e1a3694d836d1adb5c5cc8e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33503, + "estimated_input_tokens": 8376, + "estimated_eval_tokens": 17008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly heterogeneous bug reports across Flux, SD3, Wan, schedulers, and training scripts. The only loosely related area is LoRA/Flux loading, but none of the soft pairs clearly describe the same exact bug or code change, so I rejected all soft edges. I chose the generic LoRA-loading issue as the best canonical anchor for this set.", + "confidence": 0.68, + "canonical_issue_reason": "issue:3064 is the broadest and most reusable LoRA-loading report ('Loading .safetensors Lora'), so it is the best anchor if this cluster is being normalized around LoRA load failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3064 is the best overall issue candidate because its title is generic enough to subsume multiple later LoRA-loading complaints, while the others are narrower or model-specific.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3064", + "right": "issue:6130", + "accept": false, + "reason": "Both mention LoRA loading, but the titles are too generic to confirm the same underlying bug; likely different failure modes in the same area." + }, + { + "left": "issue:4542", + "right": "issue:4724", + "accept": false, + "reason": "Both are SDXL img2img-related, but one is about generating more than one image and the other about a specific checkpoint behaving incorrectly; not the same bug." + }, + { + "left": "issue:11241", + "right": "issue:9927", + "accept": false, + "reason": "Both are training/controlnet errors, but the symptoms differ completely: floating point exception versus HeaderTooLarge." + }, + { + "left": "issue:1310", + "right": "issue:1962", + "accept": false, + "reason": "These are unrelated high-level topics: a pipeline integration question versus video generation." + }, + { + "left": "issue:1392", + "right": "issue:1962", + "accept": false, + "reason": "Stable Diffusion 2 and video generation with stable diffusion are related only thematically, not as the same bug/change." + }, + { + "left": "issue:10533", + "right": "issue:11922", + "accept": false, + "reason": "Both mention Flux, but one is black-image output in FLUX fill fp16 and the other is a general running problem for FLUX.1-Fill-dev; insufficiently specific." + }, + { + "left": "issue:1214", + "right": "issue:817", + "accept": false, + "reason": "Both involve mixed/half precision, but one is a CLIPTextModel half-precision issue and the other is a dreambooth example training issue; not clearly the same defect." + }, + { + "left": "issue:1704", + "right": "issue:3824", + "accept": false, + "reason": "A question about attention blocks and a question about inpaint pipeline classes are not the same underlying issue." + }, + { + "left": "issue:3019", + "right": "issue:938", + "accept": false, + "reason": "These are different domains entirely: text-guided image editing with SAM versus human motion diffusion." + }, + { + "left": "issue:4306", + "right": "issue:8649", + "accept": false, + "reason": "A StableDiffusionReferencePipeline list-index error and an SD3 num_images_per_prompt regression are different code paths and symptoms." + }, + { + "left": "issue:4888", + "right": "issue:7782", + "accept": false, + "reason": "Offline safetensors loading and an UnpicklingError while converting safetensors are different operations and failure modes." + }, + { + "left": "issue:8874", + "right": "issue:9012", + "accept": false, + "reason": "Both are load/weight issues, but one is a CKPT unpickling failure and the other is SD3ControlNet weight loading; not the same bug." + }, + { + "left": "issue:10511", + "right": "issue:9825", + "accept": false, + "reason": "A scheduler redesign proposal and IPAdapter support for FLUX pipelines are different feature requests, not duplicate reports." + }, + { + "left": "issue:2988", + "right": "issue:6069", + "accept": false, + "reason": "Both are scheduler edge cases, but they fail in different functions and conditions; not enough to treat as one bug." + }, + { + "left": "issue:9393", + "right": "issue:9729", + "accept": false, + "reason": "Both involve FLUX LoRA training, but one is a save-model failure under deepspeed and the other is an unexpected save-model type error; distinct issues." + }, + { + "left": "issue:10180", + "right": "issue:9876", + "accept": false, + "reason": "Flux Control LoRA loading and post-training VRAM release are different stages and different bugs." + }, + { + "left": "issue:10512", + "right": "issue:10526", + "accept": false, + "reason": "Both involve Flux and optimum.quanto, but one is a LoRA load failure and the other is an FP8 WeightQBytesTensor constructor TypeError; not the same concrete issue." + }, + { + "left": "issue:13008", + "right": "issue:13351", + "accept": false, + "reason": "These are different feature requests for FLUX.2-Klein multi-image LoRA training versus Wan 2.2 / Flux.2 Dev control tooling." + }, + { + "left": "issue:3901", + "right": "issue:6278", + "accept": false, + "reason": "A missing requirements.txt error and a multi-GPU training issue have no meaningful overlap." + }, + { + "left": "issue:6196", + "right": "issue:8233", + "accept": false, + "reason": "Both concern depth pipelines, but one is a ControlNetXS loading error and the other is a generic fp16 error; not the same bug." + }, + { + "left": "issue:12011", + "right": "issue:12012", + "accept": false, + "reason": "Wan 2.2 OOM and 'No context is set' are different runtime failures." + }, + { + "left": "issue:8511", + "right": "issue:8939", + "accept": false, + "reason": "SD3 training script text-encoder unloading and tokenizer load failure are unrelated bugs." + }, + { + "left": "issue:7142", + "right": "issue:7785", + "accept": false, + "reason": "One is an inference-result discrepancy and the other is slow first inference; same model family but different issues." + }, + { + "left": "issue:5840", + "right": "issue:9664", + "accept": false, + "reason": "Checkpoint resume/freezing behavior and a generic subprocess.CalledProcessError are too unspecific to merge as one 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": 104, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10512", + "issue:10969", + "issue:11148", + "issue:11853", + "issue:12689", + "issue:1643", + "issue:1672", + "issue:1734", + "issue:1774", + "issue:1962", + "issue:2844", + "issue:3250", + "issue:3379", + "issue:350", + "issue:3788", + "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:6407", + "issue:6460", + "issue:6513", + "issue:6540", + "issue:6661", + "issue:7310", + "issue:746", + "issue:7629", + "issue:7770", + "issue:8482", + "issue:8588", + "issue:8726", + "issue:9187", + "issue:9270", + "issue:962", + "issue:9799" + ], + "soft_pairs": [ + "issue:3788|issue:6407", + "issue:5465|issue:962", + "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" + ], + "prepared_review_unit_hash": "689195fc8418c6b7d8d361a55c34b93b3ba48333bef3b00b03417305d653518a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33484, + "estimated_input_tokens": 8371, + "estimated_eval_tokens": 16998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: LoRA-loading, ControlNet training, VAE/loading, inpainting, conversion, and pipeline-feature issues. The soft pairs share broad subsystem keywords but not the same concrete bug/change, so none should be merged as duplicates.", + "confidence": 0.63, + "canonical_issue_reason": "If one issue must anchor the cluster, issue 12689 is the clearest and most general LoRA-loading failure report, but the overall set is too mixed to justify a true canonical duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12689 is the strongest canonical candidate because it states a concrete, user-facing failure mode around LoRA checkpoints and is the most likely duplicate target among the LoRA-related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3788", + "right": "issue:6407", + "accept": false, + "reason": "One is a new pipeline request (UniControl), the other is an AnyText feature/report; they are different model families and changes." + }, + { + "left": "issue:5465", + "right": "issue:962", + "accept": false, + "reason": "Both touch inpainting, but one is a DiffEdit inpaint_strength bug and the other is a general fixed-size limitation in new inpaint pipelines." + }, + { + "left": "issue:10026", + "right": "issue:1734", + "accept": false, + "reason": "Both mention multi-GPU slowdown/memory, but they are different training setups and distinct bug reports." + }, + { + "left": "issue:10969", + "right": "issue:9799", + "accept": false, + "reason": "Both are training runtime errors, but the failure signatures and affected code paths are different." + }, + { + "left": "issue:1672", + "right": "issue:4000", + "accept": false, + "reason": "Both involve conversion, but one is wrong output image size after conversion and the other is a ckpt-to-diffusers conversion topic for SD2." + }, + { + "left": "issue:6238", + "right": "issue:6250", + "accept": false, + "reason": "Both concern SDXL VAE, but one is a general VAE issue and the other is a specific KeyError loading from single file." + }, + { + "left": "issue:4736", + "right": "issue:7310", + "accept": false, + "reason": "Both are LoRA training issues, but one is OOM/invalid value during SDXL LoRA training and the other is a defaults-not-working script issue." + }, + { + "left": "issue:3250", + "right": "issue:6323", + "accept": false, + "reason": "These are unrelated pipeline bugs: KDiffusion pipeline startup vs TensorRT Img2Img attribute handling." + }, + { + "left": "issue:8588", + "right": "issue:8726", + "accept": false, + "reason": "One is a missing SD3 conversion script, the other is text-encoder errors in SD3 dreambooth training." + }, + { + "left": "issue:4086", + "right": "issue:5465", + "accept": false, + "reason": "Both involve ControlNet/inpainting-era tooling, but the concrete problems and pipelines are different." + }, + { + "left": "issue:2844", + "right": "issue:4303", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error and Flax SDXL loading crash are different code paths and failure modes." + }, + { + "left": "issue:1774", + "right": "issue:350", + "accept": false, + "reason": "Generic CUDA OOM is not the same as a question about typical memory usage for UNet2DConditionModel." + }, + { + "left": "issue:3379", + "right": "issue:746", + "accept": false, + "reason": "Dreambooth intermediate checkpoint loading and ONNX revision loading are unrelated bugs." + }, + { + "left": "issue:11148", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-related, but one is a PeftAdapterMixin state-flag bug and the other is checkpoint weight loading failure; not the same fix." + }, + { + "left": "issue:5436", + "right": "issue:6540", + "accept": false, + "reason": "Both are ControlNet training errors, but the reported failures are different and not clearly the same underlying bug." + }, + { + "left": "issue:11853", + "right": "issue:9187", + "accept": false, + "reason": "Both mention adapter/controlnet components, but one is a load conflict and the other is an SDXL IP-Adapter issue after Kolors update." + }, + { + "left": "issue:5575", + "right": "issue:6661", + "accept": false, + "reason": "LoRA hidden-size configuration and MPS OOM on specific image sizes are unrelated issues." + }, + { + "left": "issue:4354", + "right": "issue:5150", + "accept": false, + "reason": "Both are from_single_file-related feature gaps, but for different pipelines and different missing behavior." + }, + { + "left": "issue:4061", + "right": "issue:5693", + "accept": false, + "reason": "These are separate loading errors for different components: LoRA vs VAE." + }, + { + "left": "issue:1643", + "right": "issue:7629", + "accept": false, + "reason": "xformers API mismatch and SVD OOM under PyTorch 1.13.1 are unrelated." + }, + { + "left": "issue:1962", + "right": "issue:6460", + "accept": false, + "reason": "Video generation request and endless-loading inpainting are not the same bug or change." + }, + { + "left": "issue:6513", + "right": "issue:8482", + "accept": false, + "reason": "T2IAdapter model support and SD3 model support are distinct feature requests." + }, + { + "left": "issue:4410", + "right": "issue:7770", + "accept": false, + "reason": "Both are shape-mismatch reports, but they involve different loading scenarios and different tensors/components." + }, + { + "left": "issue:10512", + "right": "issue:9270", + "accept": false, + "reason": "Both are Flux LoRA-related, but one is a Quanto load failure and the other is incomplete SimpleTuner support; 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": 105, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1005", + "issue:10472", + "issue:1060", + "issue:11584", + "issue:11824", + "issue:11839", + "issue:11864", + "issue:12085", + "issue:12126", + "issue:12147", + "issue:12529", + "issue:12599", + "issue:13258", + "issue:2459", + "issue:2596", + "issue:2784", + "issue:3250", + "issue:3700", + "issue:378", + "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:7306", + "issue:7935", + "issue:7936", + "issue:8495", + "issue:8556", + "issue:8637", + "issue:8790", + "issue:8827", + "issue:8939", + "issue:9106", + "issue:9167", + "issue:9187", + "issue:9320", + "issue:9410", + "issue:9613", + "issue:9953" + ], + "soft_pairs": [ + "issue:11824|issue:9106", + "issue:1005|issue:3250", + "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" + ], + "prepared_review_unit_hash": "fbdc41e5d2c69e221d27e2fee9e6a5cd77268eb55757430786429ba7695ea04d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33906, + "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 cluster of mostly unrelated issues spanning loading/import errors, training-script bugs, compilation problems, and feature requests. The soft pairs share only broad subsystem overlap, not the same concrete bug, so none should be merged.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 11824 is the most concrete, user-facing runtime bug report in the set, with high discussion activity and inbound references, so it is a reasonable anchor even though the cluster is not truly duplicate-heavy.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11824 is the strongest representative issue because it has detailed repro context and the most activity, making it the clearest exemplar of the group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11824", + "right": "issue:9106", + "accept": false, + "reason": "Different FluxKontext multi-image error vs. PixArt-Alpha timestep=1 attribute failure; same general model area only." + }, + { + "left": "issue:1005", + "right": "issue:3250", + "accept": false, + "reason": "Timesteps bound question vs. StableDiffusionKDiffusionPipeline runtime failure; not the same bug." + }, + { + "left": "issue:5927", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a reference/inpaint combo and the other is SDXL TensorRT integration; distinct problems." + }, + { + "left": "issue:8637", + "right": "issue:9167", + "accept": false, + "reason": "Separate import errors for different pipelines/classes, not one shared missing symbol bug." + }, + { + "left": "issue:2596", + "right": "issue:6636", + "accept": false, + "reason": "Docs mention a missing utility function, while the other is an import error for a different symbol." + }, + { + "left": "issue:12147", + "right": "issue:12529", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading failure vs. TI2V tiled VAE tensor mismatch; different code paths." + }, + { + "left": "issue:8939", + "right": "issue:9320", + "accept": false, + "reason": "Tokenizer/config loading failure vs. custom diffusion save/load issue; not the same root cause." + }, + { + "left": "issue:8495", + "right": "issue:8556", + "accept": false, + "reason": "Different SD3 loading failures: tokenizer enum parsing vs. meta-tensor copy during from_single_file." + }, + { + "left": "issue:12599", + "right": "issue:9953", + "accept": false, + "reason": "Both involve moving to CUDA, but one is slowness and the other is an error with a quantized component." + }, + { + "left": "issue:378", + "right": "issue:4754", + "accept": false, + "reason": "Textual inversion model conversion/loading issues, but one is a class/distribution topic and the other is missing model_index.json after save." + }, + { + "left": "issue:6283", + "right": "issue:7306", + "accept": false, + "reason": "Img2img strength=0 behavior vs. float16 support in a different SDXL pipeline." + }, + { + "left": "issue:1060", + "right": "issue:671", + "accept": false, + "reason": "Conversion script problems, but one is safety-checker loading and the other is output fidelity mismatch." + }, + { + "left": "issue:11584", + "right": "issue:11864", + "accept": false, + "reason": "torch.compile is involved, but one is group-offloading incompatibility and the other is a name resolution error in AutoencoderDC.encode." + }, + { + "left": "issue:7935", + "right": "issue:7936", + "accept": false, + "reason": "One is a missing config.json in a repo, the other is invalid JSON in a local safetensors load." + }, + { + "left": "issue:11839", + "right": "issue:12085", + "accept": false, + "reason": "Both are gguf-related, but they affect different Wan pipelines and report different failures." + }, + { + "left": "issue:5256", + "right": "issue:5605", + "accept": false, + "reason": "Different feature requests: Insta-Flow training support vs. per-image caption support." + }, + { + "left": "issue:12126", + "right": "issue:13258", + "accept": false, + "reason": "Wan2.2 cache_context switching error vs. missing image-to-video support; unrelated symptoms." + }, + { + "left": "issue:6832", + "right": "issue:8827", + "accept": false, + "reason": "Both IP-Adapter FaceID-related, but the failures differ: tuple.shape on one side and a separate SDXL usage error on the other." + }, + { + "left": "issue:6636", + "right": "issue:9410", + "accept": false, + "reason": "Distinct import failures for different symbols/pipelines, not the same missing export." + }, + { + "left": "issue:6107", + "right": "issue:9187", + "accept": false, + "reason": "Both are IP-Adapter/SDXL reports, but one is an EC2 deployment issue after Kolors update and the other is image_encoder_folder=None behavior." + }, + { + "left": "issue:10472", + "right": "issue:9613", + "accept": false, + "reason": "LoRA bias kwarg error vs. Timesteps.scale attribute error; completely different failures." + }, + { + "left": "issue:2784", + "right": "issue:5576", + "accept": false, + "reason": "Separate feature requests for different capabilities: Dreambooth text2video support vs. FreeNoise scheduler." + }, + { + "left": "issue:4801", + "right": "issue:5425", + "accept": false, + "reason": "Both touch train_unconditional.py, but one is mixed precision example behavior and the other is checkpoint-saving compatibility." + }, + { + "left": "issue:2459", + "right": "issue:3700", + "accept": false, + "reason": "Same training script, but different options and bugs: xformers attention vs. min_snr argument 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": 106, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:1398", + "issue:1486", + "issue:1823", + "issue:1949", + "issue:2437", + "issue:2466", + "issue:2579", + "issue:3101", + "issue:3346", + "issue:3487", + "issue:3643", + "issue:3802", + "issue:3851", + "issue:4031", + "issue:4109", + "issue:4134", + "issue:4446", + "issue:4631", + "issue:5126", + "issue:5128", + "issue:5558", + "issue:5607", + "issue:5932", + "issue:6382", + "issue:6839", + "issue:6858", + "issue:7002", + "issue:7133", + "issue:7197", + "issue:7974", + "issue:9454", + "issue:9576", + "issue:9719" + ], + "soft_pairs": [ + "issue:4446|issue:6839", + "issue:1398|issue:4134", + "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" + ], + "prepared_review_unit_hash": "dbcdf47663d3bb4ada58b6977fa8b80f0c3fd03a442f85ecff3039f2f46329a4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "Only one soft edge looks like a true duplicate: the checkpoint retention limit not being respected in training examples. The rest are broad-similarity matches across different models, pipelines, or error modes and should stay separate.", + "confidence": 0.88, + "canonical_issue_reason": "issue:2466 is the broader, earlier report with substantially more discussion, and it matches the same checkpoint-limit bug described in issue:3802.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2466 is the best canonical anchor because it clearly describes the underlying training checkpoint-retention problem and has the strongest discussion signal among the duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4446", + "right": "issue:6839", + "accept": false, + "reason": "Both are `from_single_file` loading failures, but they hit different pipelines and different failure modes." + }, + { + "left": "issue:1398", + "right": "issue:4134", + "accept": false, + "reason": "Same platform family (MPS) but different bugs: one is SD2 compatibility, the other is a ControlNet tensor-shape mismatch." + }, + { + "left": "issue:4031", + "right": "issue:5128", + "accept": false, + "reason": "Both involve local loading, but one is a safety checker path issue and the other is an XLPipeline safetensors load error." + }, + { + "left": "issue:2466", + "right": "issue:3802", + "accept": true, + "reason": "Same underlying bug: `checkpoints_total_limit` is not being enforced in training/example scripts." + }, + { + "left": "issue:10653", + "right": "issue:12599", + "accept": false, + "reason": "Device-move/loading issues, but the concrete bug differs: unsupported `.to()` on an 8-bit module vs slow post-load CUDA transfer." + }, + { + "left": "issue:6382", + "right": "issue:7974", + "accept": false, + "reason": "Both mention IP Adapter, but they describe different workflows and different errors." + }, + { + "left": "issue:5607", + "right": "issue:7002", + "accept": false, + "reason": "Both are runtime failures, but one is a tensor-shape mismatch and the other is an invalid buffer-size/memory error." + }, + { + "left": "issue:3487", + "right": "issue:5558", + "accept": false, + "reason": "Different image-quality issues in different pipelines; not the same concrete bug." + }, + { + "left": "issue:3101", + "right": "issue:6858", + "accept": false, + "reason": "Both are ControlNet training problems, but the errors and likely code paths are different." + }, + { + "left": "issue:12107", + "right": "issue:12157", + "accept": false, + "reason": "Different APIs and different failure modes; not the same underlying bug." + }, + { + "left": "issue:3643", + "right": "issue:4631", + "accept": false, + "reason": "Unrelated runtime errors: one is an INT_MAX decoding limit, the other is a scheduler scalar-conversion issue." + }, + { + "left": "issue:7133", + "right": "issue:7197", + "accept": false, + "reason": "Both involve resuming training, but they affect different scripts, models, and error conditions." + }, + { + "left": "issue:10823", + "right": "issue:11232", + "accept": false, + "reason": "One is about missing inference artifacts after fine-tuning; the other is about noise residuals during fine-tuning." + }, + { + "left": "issue:5126", + "right": "issue:5932", + "accept": false, + "reason": "Different concrete failures: wrong Conv2d arguments vs channel-count mismatch." + }, + { + "left": "issue:10010", + "right": "issue:9454", + "accept": false, + "reason": "Both are missing-model issues, but they concern different models and examples." + }, + { + "left": "issue:10100", + "right": "issue:10639", + "accept": false, + "reason": "These are separate model-support requests, not the same change." + }, + { + "left": "issue:1013", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and different breakages; too broad to be duplicates." + }, + { + "left": "issue:10139", + "right": "issue:9576", + "accept": false, + "reason": "Both are pipeline-loading/init issues, but they target different bugs and different fixes." + }, + { + "left": "issue:10447", + "right": "issue:9719", + "accept": false, + "reason": "Different loading/serialization problems; not the same code-path issue." + }, + { + "left": "issue:1061", + "right": "issue:1823", + "accept": false, + "reason": "Completely unrelated: documentation update vs swapped comments." + }, + { + "left": "issue:1188", + "right": "issue:2437", + "accept": false, + "reason": "Both are pipeline feature requests, but for different architectures and changes." + }, + { + "left": "issue:1486", + "right": "issue:2579", + "accept": false, + "reason": "Different scheduler/xFormers issues with different symptoms and likely fixes." + }, + { + "left": "issue:1486", + "right": "issue:3851", + "accept": false, + "reason": "Same scheduler area, but the bugs differ: prediction_type='sample' vs epsilon prediction with zero-SNR rescaling." + }, + { + "left": "issue:1949", + "right": "issue:3346", + "accept": false, + "reason": "Dreambooth-related, but one is a generic tutorial failure and the other is a resume-from-checkpoint feature request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The canonical choice and duplicate call are well grounded in the packet: issue:2466 and issue:3802 clearly describe the same checkpoint-retention bug, and 2466 has the stronger discussion signal. The remaining soft-edge rejections are conservative and supported by the titles/body summaries, with no 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": 107, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10671", + "issue:11006", + "issue:11627", + "issue:12494", + "issue:12565", + "issue:13300", + "issue:2507", + "issue:2673", + "issue:2800", + "issue:2988", + "issue:3728", + "issue:4037", + "issue:4206", + "issue:4376", + "issue:4975", + "issue:5128", + "issue:5215", + "issue:5337", + "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:2673|issue:5215", + "issue:2800|issue:3728", + "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" + ], + "prepared_review_unit_hash": "6fc78d19d7cbe74323f5ab8186e3bbe465df96838b68b30c72c22c7f63b7e85d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33263, + "estimated_input_tokens": 8316, + "estimated_eval_tokens": 16888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly noisy and theme-based rather than true duplicates: many issues mention Flux/ControlNet/LoRA or pipeline loading, but they describe different failures, scripts, models, or error modes. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "No strong canonical duplicate exists because the set is heterogeneous. If one must be chosen, issue 9450 is the closest representative of the Flux multi-GPU/device-placement subgroup, but it does not cover the rest of the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9450 is the nearest hub by breadth of discussion and it matches one of the larger themes (Flux multi-GPU runtime failures), but it is still only a partial fit and not a true global representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2673", + "right": "issue:5215", + "accept": false, + "reason": "Both are StableDiffusionUpscalePipeline problems, but one is a config/input validation error and the other is a brightness regression. Different bugs." + }, + { + "left": "issue:2800", + "right": "issue:3728", + "accept": false, + "reason": "These are different feature requests/new pipelines (DiffEdit vs Shifted Diffusion), not the same underlying issue." + }, + { + "left": "issue:4037", + "right": "issue:4206", + "accept": false, + "reason": "Both involve ControlNet training, but one is an FSDP validation error and the other is a broken SDXL main-branch training path. Not the same bug." + }, + { + "left": "issue:4975", + "right": "issue:8532", + "accept": false, + "reason": "Both touch LoRA loading performance/memory, but one is repeated dtype queries and the other is progressive memory growth. Related area, different concrete failures." + }, + { + "left": "issue:5337", + "right": "issue:5457", + "accept": false, + "reason": "These are documentation \u10d9\u10d8\u10d7\u10ee\u10d5/questions about different callback/attention_mask concepts, not duplicate bugs or changes." + }, + { + "left": "issue:6842", + "right": "issue:9167", + "accept": false, + "reason": "Both are import errors, but for different missing pipelines and different modules. Not the same underlying failure." + }, + { + "left": "issue:7441", + "right": "issue:8805", + "accept": false, + "reason": "Unrelated: Python 3.12 pytest breakage vs a script that no longer works. No shared bug." + }, + { + "left": "issue:8534", + "right": "issue:8543", + "accept": false, + "reason": "Both are SD3 dreambooth issues, but one is wrong logit-normal weighting and the other is gradient checkpointing failure. Different code paths." + }, + { + "left": "issue:8540", + "right": "issue:8834", + "accept": false, + "reason": "Caching embeddings/VAE representations is unrelated to asking about SD3 ControlNet training release. Not duplicate." + }, + { + "left": "issue:9042", + "right": "issue:9873", + "accept": false, + "reason": "Different new pipeline requests (Flux vs OmniGen), not the same change." + }, + { + "left": "issue:9450", + "right": "issue:9630", + "accept": false, + "reason": "Both are Flux multi-GPU/device-placement complaints, but one is an inference pipeline tensor-device mismatch and the other is a training-script error with num_single_layers=0. Not the same concrete bug." + }, + { + "left": "issue:10671", + "right": "issue:9527", + "accept": false, + "reason": "Both mention dtype/device behavior, but one is deterministic dtype/device querying and the other is a mixed-precision runtime dtype mismatch. Different issues." + }, + { + "left": "issue:9309", + "right": "issue:9546", + "accept": false, + "reason": "Both involve Flux ControlNet, but one is a pipeline runtime bug on Flux.1 schnell and the other is a validation-step OOM during training. Not the same bug." + }, + { + "left": "issue:11627", + "right": "issue:8817", + "accept": false, + "reason": "Different problems: one is StableDiffusion3Pipeline with an IP-Adapter, the other is an issue using IP-Adapter FaceID. Same broad feature, not duplicate." + }, + { + "left": "issue:10026", + "right": "issue:9156", + "accept": false, + "reason": "Both are Flux training memory complaints, but one is DeepSpeed stage-3 not reducing memory and the other is CUDA OOM during LoRA training. Not the same underlying fix." + }, + { + "left": "issue:6159", + "right": "issue:9109", + "accept": false, + "reason": "Completely unrelated: SDXL ControlNet XS pipeline argument support vs missing torchvision nms operator." + }, + { + "left": "issue:11006", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan2.1 i2v reports, but one is broken video output with a quantized transformer and the other is a generic running issue. Too broad to merge." + }, + { + "left": "issue:11627", + "right": "issue:13300", + "accept": false, + "reason": "Different models and failures: SD3.5/IP-Adapter issue versus CPU generation failure for SD3.5-large-turbo and FLUX.1-dev." + }, + { + "left": "issue:12494", + "right": "issue:6879", + "accept": false, + "reason": "Different runtime errors: matmul shape mismatch vs dtype mismatch. Not the same bug." + }, + { + "left": "issue:7389", + "right": "issue:7390", + "accept": false, + "reason": "Both are from_single_file errors, but they affect different pipelines (SDXL vs SDXL ControlNet Inpaint) and likely different failure modes." + }, + { + "left": "issue:5593", + "right": "issue:7982", + "accept": false, + "reason": "Both concern from_pipe with ControlNet variants, but one is generic ControlNet and the other is MultiControlNetModel. Similar area, not the same concrete bug." + }, + { + "left": "issue:6252", + "right": "issue:7793", + "accept": false, + "reason": "Different LoRA problems: checkpoint weights not loading vs unloading weights errors in DeepFloyd." + }, + { + "left": "issue:2507", + "right": "issue:5128", + "accept": false, + "reason": "One is a performance complaint when loading safetensors on GPU; the other is an error loading a local safetensors via from_single_file. Different issues." + }, + { + "left": "issue:2988", + "right": "issue:4376", + "accept": false, + "reason": "Scheduler crash at equal step counts is unrelated to SDXL textual inversion loading crashes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10472", + "issue:10760", + "issue:11962", + "issue:13351", + "issue:1556", + "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:3886", + "issue:3910", + "issue:4037", + "issue:4186", + "issue:4591", + "issue:4724", + "issue:4840", + "issue:4885", + "issue:5399", + "issue:5425", + "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:9012", + "issue:9208", + "issue:9239", + "issue:941", + "issue:964", + "issue:9731" + ], + "soft_pairs": [ + "issue:3910|issue:4885", + "issue:3886|issue:5425", + "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" + ], + "prepared_review_unit_hash": "5bda753d74cade70eae4c80c89eb2347f0db50569efb94c4fa6a06f5a8bd98fa", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33363, + "estimated_input_tokens": 8341, + "estimated_eval_tokens": 16938 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated Diffusers bugs/feature requests across LoRA, ControlNet, inpainting, training scripts, imports, and model support. Only one soft pair looks like a true duplicate; the rest are false positives despite broad topical overlap.", + "confidence": 0.95, + "canonical_issue_reason": "If a representative is needed, issue:5845 is the clearest canonical issue because it precisely states the PixArt Alpha DreamBooth training failure; issue:5777 is the vaguer twin of that same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5845 is the best issue candidate among the near-duplicates because it names the exact model and failure mode; however, the overall set is not a single coherent duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3910", + "right": "issue:4885", + "accept": false, + "reason": "Both mention LoRA loading, but one is a generic LoRA load failure and the other is specific to StableDiffusionXLControlNetImg2ImgPipeline; different code paths and symptoms." + }, + { + "left": "issue:3886", + "right": "issue:5425", + "accept": false, + "reason": "Collective timeout during DDPM training is unrelated to checkpoint-save compatibility with accelerate/PT 2.1 in train_unconditional.py." + }, + { + "left": "issue:6492", + "right": "issue:9239", + "accept": false, + "reason": "Both are black-image reports, but 9239 is specifically ControlNet-Canny while 6492 is a generic image-generation black-output bug." + }, + { + "left": "issue:4591", + "right": "issue:7421", + "accept": false, + "reason": "Both involve determinism/seed behavior, but they affect different pipelines (Karlo/unCLIP vs StableDiffusionXLKDiffusionPipeline) and are not the same defect." + }, + { + "left": "issue:4186", + "right": "issue:964", + "accept": false, + "reason": "Both are inpainting-related, but one is SDXL inpaint with refiner and the other is a generic inpainting example failure; not the same concrete bug." + }, + { + "left": "issue:3584", + "right": "issue:6073", + "accept": false, + "reason": "Both reference DreamBooth/tutorial usage, but they are different tutorials and different reported failures rather than one shared code-path bug." + }, + { + "left": "issue:10472", + "right": "issue:9731", + "accept": false, + "reason": "One is an unexpected lora_bias constructor error during inference; the other is a how-to question about training LoRA on Playground2.5. Different problem class." + }, + { + "left": "issue:2695", + "right": "issue:5972", + "accept": false, + "reason": "Validation crash in ControlNet training is not the same as a documentation request about Min-SNR weighting." + }, + { + "left": "issue:11962", + "right": "issue:13351", + "accept": false, + "reason": "These are separate model-support requests for different families (FLUX.1-Kontext-dev GGUF vs Wan 2.2 / Flux.2 Dev ControlNet)." + }, + { + "left": "issue:1556", + "right": "issue:2507", + "accept": false, + "reason": "Black images with CUDA/NSFW warning is unrelated to safetensors loading slower on GPU than CPU." + }, + { + "left": "issue:4885", + "right": "issue:9012", + "accept": false, + "reason": "Both involve ControlNet loading, but one is about LoRA weights in SDXL ControlNet Img2Img and the other is SD3ControlNetModel.from_transformer weight loading; different models and failures." + }, + { + "left": "issue:5777", + "right": "issue:5845", + "accept": true, + "reason": "Both report DreamBooth training failing on PixArt / PixArt Alpha, which points to the same underlying training-path problem." + }, + { + "left": "issue:10760", + "right": "issue:7082", + "accept": false, + "reason": "Importing OnnxStableDiffusionInpaintPipelineLegacy and importing CpuOffload from accelerate.hooks are unrelated import failures." + }, + { + "left": "issue:1814", + "right": "issue:2614", + "accept": false, + "reason": "Changing the CLIP model and changing the pretrained-model download directory are completely different feature requests." + }, + { + "left": "issue:2560", + "right": "issue:941", + "accept": false, + "reason": "Both concern generation behavior, but one is list-of-generators determinism and the other is MPS noise with num_images_per_prompt; different bugs." + }, + { + "left": "issue:259", + "right": "issue:2880", + "accept": false, + "reason": "A progress-bar tweak in Stable Diffusion is unrelated to a JAX Colab runtime failure." + }, + { + "left": "issue:4840", + "right": "issue:5592", + "accept": false, + "reason": "Both are checkpoint loading problems, but they affect different model classes (FlaxAutoencoderKL vs UniDiffuser) and do not share a concrete code path." + }, + { + "left": "issue:6823", + "right": "issue:9208", + "accept": false, + "reason": "Generic 'cannot use controlnet' and 'cannot load most controlnet models using from_single_file()' overlap broadly, but the latter is a specific loading path not shown to be the same bug." + }, + { + "left": "issue:3812", + "right": "issue:7708", + "accept": false, + "reason": "A missing controlnet config entry and a missing tokenizer/config.json are different configuration errors." + }, + { + "left": "issue:2784", + "right": "issue:2984", + "accept": false, + "reason": "DreamBooth support for text-to-video is a feature request, while Latent Video Diffusion Models is a paper/topic issue; not duplicates." + }, + { + "left": "issue:5770", + "right": "issue:5829", + "accept": false, + "reason": "Dataset access blocking an LCM distillation run is unrelated to a missing unet_time_cond_proj_dim argument in LCM training scripts." + }, + { + "left": "issue:5399", + "right": "issue:7239", + "accept": false, + "reason": "A dtype mismatch in custom inpainting inference is not the same as an SDXL LoRA shape-mismatch during DreamBooth training." + }, + { + "left": "issue:3405", + "right": "issue:4037", + "accept": false, + "reason": "General ControlNet training failure and FSDP validation errors are different failure modes and likely different fixes." + }, + { + "left": "issue:3221", + "right": "issue:4724", + "accept": false, + "reason": "load_attn_procs failing in diffusers 0.16.0 is unrelated to an SDXL Img2Img output mismatch with a checkpoint." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is conservative and grounded in the packet. The only accepted soft pair, issue:5777 vs issue:5845, is well-supported by the titles as the same PixArt/DreamBooth training bug. The remaining pair rejections stay within the evidence and avoid overclaiming duplicate status. Summary is appropriately cautious." + }, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10066", + "issue:10194", + "issue:10382", + "issue:10453", + "issue:10989", + "issue:11408", + "issue:11432", + "issue:11436", + "issue:1231", + "issue:1363", + "issue:1614", + "issue:2447", + "issue:2695", + "issue:2822", + "issue:2875", + "issue:3094", + "issue:3221", + "issue:3296", + "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:835", + "issue:8410", + "issue:8464", + "issue:8645", + "issue:9096", + "issue:9370", + "issue:9825", + "issue:9856", + "issue:987" + ], + "soft_pairs": [ + "issue:835|issue:987", + "issue:1614|issue:987", + "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" + ], + "prepared_review_unit_hash": "332b061b4db0b25d457ff67256209752b72b9e85e5a59949a5862ac2316993c3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33934, + "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 heterogeneous: most items are unrelated bugs or feature requests that only overlap on broad keywords like loading, attention, or dtype. I do not see any soft pair that should be merged as the same underlying change/bug.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 11432 is the clearest concrete bug report in the set: a reproducible `.from_pretrained(torch_dtype=\"auto\")` failure with a specific API expectation mismatch.", + "canonical_pr_reason": null, + "best_issue_reason": "11432 is the most actionable and self-contained issue to anchor triage; it is specific, reproducible, and not just a broad feature ask.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:835", + "right": "issue:987", + "accept": false, + "reason": "Different failures and code paths: Flax PIL conversion vs a green-image symptom in speech-to-image." + }, + { + "left": "issue:1614", + "right": "issue:987", + "accept": false, + "reason": "Both are image corruption reports, but black-output autocast behavior and green-output speech-to-image are not the same bug." + }, + { + "left": "issue:8410", + "right": "issue:9825", + "accept": false, + "reason": "Separate feature requests for different pipelines (TextDiffuser vs FLUX IP-Adapters)." + }, + { + "left": "issue:4852", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading problems, but different loaders/models and different failure modes." + }, + { + "left": "issue:6250", + "right": "issue:9856", + "accept": false, + "reason": "Model loading KeyError vs distributed port-in-use connection error are unrelated." + }, + { + "left": "issue:10382", + "right": "issue:4210", + "accept": false, + "reason": "Different API mismatches in different components: VAE encoder return type vs UNet attention_mask usage." + }, + { + "left": "issue:11436", + "right": "issue:9096", + "accept": false, + "reason": "Both are dtype/numerics-related, but one is a Half/BFloat16 mismatch and the other is NaN output in Flux inference." + }, + { + "left": "issue:2447", + "right": "issue:5897", + "accept": false, + "reason": "Generic LoRA error is too broad to equate with a specific CPU/GPU device-mismatch training bug." + }, + { + "left": "issue:5829", + "right": "issue:9370", + "accept": false, + "reason": "Both are missing-argument crashes, but they affect different classes/functions and look like separate code paths." + }, + { + "left": "issue:10453", + "right": "issue:11408", + "accept": false, + "reason": "Batch-size limitation in Hunyuan Video is unrelated to compiled-model adapter support." + }, + { + "left": "issue:3094", + "right": "issue:6371", + "accept": false, + "reason": "Training OOM and an assert in controlnet_xs example are different problems." + }, + { + "left": "issue:2822", + "right": "issue:5881", + "accept": false, + "reason": "Both compare against original repos, but they are about different pipelines and different quality regressions." + }, + { + "left": "issue:5254", + "right": "issue:5465", + "accept": false, + "reason": "Both are ControlNet/inpainting feature gaps, but not the same concrete missing capability." + }, + { + "left": "issue:10989", + "right": "issue:8464", + "accept": false, + "reason": "Quantized-transformers load failure and cpu-offload seed failure are unrelated." + }, + { + "left": "issue:4210", + "right": "issue:8645", + "accept": false, + "reason": "Attention-mask usage question vs missing helper function are different issues." + }, + { + "left": "issue:4874", + "right": "issue:5128", + "accept": false, + "reason": "Both mention local-file flows, but one is a low-res scheduler bug and the other is a single-file loading error." + }, + { + "left": "issue:2695", + "right": "issue:5997", + "accept": false, + "reason": "Validation/TensorBoard training failure and SDXL tutorial type mismatch are separate bugs." + }, + { + "left": "issue:3221", + "right": "issue:4086", + "accept": false, + "reason": "Loading attention processors and ControlNet SDXL training failure are not the same underlying bug." + }, + { + "left": "issue:3296", + "right": "issue:4389", + "accept": false, + "reason": "Checkpoint save/load with text_encoder is distinct from ControlNetModel loading failure." + }, + { + "left": "issue:1231", + "right": "issue:1363", + "accept": false, + "reason": "Both mention LMS, but Flax scheduler support and an ONNX/community pipeline error are different contexts." + }, + { + "left": "issue:5886", + "right": "issue:7238", + "accept": false, + "reason": "Face-model support and IP-Adapter masking are separate feature requests." + }, + { + "left": "issue:10066", + "right": "issue:11432", + "accept": false, + "reason": "A self.attn unpacking ValueError is not the same as the torch_dtype=\"auto\" from_pretrained bug." + }, + { + "left": "issue:10194", + "right": "issue:7877", + "accept": false, + "reason": "Flux attention masking support and Attention block out_dim support are different API changes." + }, + { + "left": "issue:7033", + "right": "issue:7168", + "accept": false, + "reason": "Warning logs about IP-Adapter masking are not the same as incorrect 4D image-embed tensors." + }, + { + "left": "issue:2875", + "right": "issue:6565", + "accept": false, + "reason": "Generic NaN loss instability and DPO diffusion loss spikes/noised samples are related only loosely, 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": 110, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10121", + "issue:10925", + "issue:11185", + "issue:11464", + "issue:11878", + "issue:13105", + "issue:1315", + "issue:1572", + "issue:1944", + "issue:2163", + "issue:2596", + "issue:2947", + "issue:3111", + "issue:3405", + "issue:3480", + "issue:3631", + "issue:4073", + "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:7538", + "issue:7735", + "issue:7757", + "issue:7960", + "issue:8956", + "issue:9208", + "issue:9278", + "issue:9501", + "issue:9558", + "issue:9731", + "issue:9804" + ], + "soft_pairs": [ + "issue:2947|issue:4073", + "issue:3111|issue:3480", + "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" + ], + "prepared_review_unit_hash": "4c57284a4fb136abc4c83794c9776d80efe37d6c41c87834d64cbe0d39ba7cd6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34193, + "estimated_input_tokens": 8549, + "estimated_eval_tokens": 17354 + }, + "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 bugs, features, docs, and models. None of the soft pairs look like the same underlying problem.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue fits the group; the items are heterogeneous and the soft pairs are only superficially similar.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue here is a clear global representative because there is no shared underlying bug/change across the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2947", + "right": "issue:4073", + "accept": false, + "reason": "Both are AttributeError reports, but they hit different code paths: missing load_attn_procs vs Tensor.astype in the IF safety checker." + }, + { + "left": "issue:3111", + "right": "issue:3480", + "accept": false, + "reason": "Different requests in conditioning/LoRA handling; one asks for a custom encoder, the other for a scale parameter." + }, + { + "left": "issue:4969", + "right": "issue:5892", + "accept": false, + "reason": "Both are import errors, but the missing symbols are unrelated and there is no shared failing module or fix path." + }, + { + "left": "issue:3405", + "right": "issue:4086", + "accept": false, + "reason": "Both mention training problems, but one is about ControlNet training generally and the other about SDXL ControlNet not working; too broad to be duplicates." + }, + { + "left": "issue:1572", + "right": "issue:3631", + "accept": false, + "reason": "Both concern pipeline exceptions, but one is img2img/inpainting support in a mega pipeline and the other is a latent-input edge case." + }, + { + "left": "issue:6548", + "right": "issue:9558", + "accept": false, + "reason": "Both involve image handling/validation, but one is RGBA latents misclassification and the other is a black tensorboard validation image." + }, + { + "left": "issue:5515", + "right": "issue:5619", + "accept": false, + "reason": "Different LCM failures: missing scheduler initialization vs AutoencodeTiny image-encoding behavior." + }, + { + "left": "issue:11878", + "right": "issue:13105", + "accept": false, + "reason": "Different Wan model failures: GGUF loading for 1.3B vs noisy output in a different Wan2.1 T2V model." + }, + { + "left": "issue:6256", + "right": "issue:7293", + "accept": false, + "reason": "Feature requests for different callbacks/pipelines; not the same change." + }, + { + "left": "issue:6439", + "right": "issue:7119", + "accept": false, + "reason": "Both are docs links, but one is a specific fp16 link 404 and the other is a generic invalid link report." + }, + { + "left": "issue:6870", + "right": "issue:7735", + "accept": false, + "reason": "Training/inpainting vs dataset caption-column problems; unrelated symptoms and fixes." + }, + { + "left": "issue:9208", + "right": "issue:9804", + "accept": false, + "reason": "Both are ControlNet loading issues, but one is from_single_file and the other is from_pretrained with local SDXL; different loaders and failure modes." + }, + { + "left": "issue:10121", + "right": "issue:11185", + "accept": false, + "reason": "Different model-specific generation errors (Flux high-res vs CogView4 generation), not the same bug." + }, + { + "left": "issue:6016", + "right": "issue:7003", + "accept": false, + "reason": "Different shape/type conversion bugs in different pipelines; no shared code-path evidence." + }, + { + "left": "issue:7538", + "right": "issue:9731", + "accept": false, + "reason": "Both are training questions, but one is custom fill50k style data and the other is Playground2.5 LoRA guidance; not duplicates." + }, + { + "left": "issue:7757", + "right": "issue:7960", + "accept": false, + "reason": "Both mention multi-GPU training OOM/failure, but they are separate training scripts and likely different root causes." + }, + { + "left": "issue:1315", + "right": "issue:2596", + "accept": false, + "reason": "Both are import/path issues, but they reference different missing API names and different versions/docs contexts." + }, + { + "left": "issue:9278", + "right": "issue:9501", + "accept": false, + "reason": "Both relate to FLUX Dreambooth, but one is multigpu training and the other is delayed model saving; not the same bug." + }, + { + "left": "issue:2163", + "right": "issue:6130", + "accept": false, + "reason": "Both involve training/load errors, but one is UNet dtype mismatch during text-to-image training and the other is LoRA loading." + }, + { + "left": "issue:5128", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading failures, but one is XLPipeline single-file loading and the other is ControlNetXS Depth SDXL loading." + }, + { + "left": "issue:1944", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth training behavior reports, but one is poor prompt learning and the other is local vs Colab learning differences." + }, + { + "left": "issue:10925", + "right": "issue:11464", + "accept": false, + "reason": "Different FLUX-related training/loading topics: Dreambooth finetune CLIPTextModel vs loading a Canny-dev LoRA into FluxControlPipeline." + }, + { + "left": "issue:4186", + "right": "issue:6870", + "accept": false, + "reason": "Both mention inpaint/SD pipelines, but one is SDXL inpaint with refiner and the other is a missing enable_vae_tiling option." + }, + { + "left": "issue:4356", + "right": "issue:5259", + "accept": false, + "reason": "Different import/package failures: a missing dummy module in v0.19.2 vs missing model_index.json in a directory." + }, + { + "left": "issue:8956", + "right": "issue:9804", + "accept": false, + "reason": "Both are model loading issues, but one is OVStableDiffusionXLPipeline and the other is ControlNetModel.from_pretrained on local SDXL." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10421", + "issue:1062", + "issue:10705", + "issue:10893", + "issue:11247", + "issue:11363", + "issue:1185", + "issue:12009", + "issue:1251", + "issue:12529", + "issue:12612", + "issue:12699", + "issue:1572", + "issue:1944", + "issue:2026", + "issue:2465", + "issue:2875", + "issue:3643", + "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:7378", + "issue:7936", + "issue:8540", + "issue:8555", + "issue:8832", + "issue:8833", + "issue:8900", + "issue:9164", + "issue:9227", + "issue:9450", + "issue:9895" + ], + "soft_pairs": [ + "issue:11363|issue:9895", + "issue:3643|issue:7378", + "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" + ], + "prepared_review_unit_hash": "3368f84af9bf7c7088967a2046fa6af40037648ce1f7f7528e2092cb452260b6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34330, + "estimated_input_tokens": 8583, + "estimated_eval_tokens": 17422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of diffusers/model pipeline issues; the soft pairs share broad subsystems but not the same concrete bugs, so none should be merged. The clearest representative issue is the Flux multi-GPU device-placement error.", + "confidence": 0.87, + "canonical_issue_reason": "issue:9450 is the most concrete, reproducible bug report in the set: it names FluxPipeline multi-GPU usage and an exact device-mismatch failure mode, making it a better canonical issue than the more niche or less actionable reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9450 is the best global issue candidate because it describes a specific runtime error, a clear affected path, and a plausible single fix target; the other items are either broader, more ambiguous, or clearly different bugs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11363", + "right": "issue:9895", + "accept": false, + "reason": "Both involve GPU/runtime failures, but one is a ControlNet example OOM and the other is a FluxPipeline device-mismatch regression; different bugs and fixes." + }, + { + "left": "issue:3643", + "right": "issue:7378", + "accept": false, + "reason": "Both mention memory during latent decoding, but one is an INT_MAX decoding limit and the other is higher memory usage in AnimateDiff video-to-video; not the same issue." + }, + { + "left": "issue:12009", + "right": "issue:12529", + "accept": false, + "reason": "Wan GGUF loading via from_single_file and a tiled VAE tensor-size mismatch are different failure modes in different code paths." + }, + { + "left": "issue:3803", + "right": "issue:3954", + "accept": false, + "reason": "Multi-GPU LoRA model sharing and scheduler step-count calculation are unrelated bugs." + }, + { + "left": "issue:4446", + "right": "issue:8900", + "accept": false, + "reason": "Both are from_single_file loading reports, but one concerns custom text_encoder support and the other SDXL refiner checkpoint loading; different concrete problems." + }, + { + "left": "issue:7146", + "right": "issue:7310", + "accept": false, + "reason": "SDXL training OOM and defaults not working are separate training issues; no evidence they are the same bug." + }, + { + "left": "issue:5488", + "right": "issue:6870", + "accept": false, + "reason": "A broken demo example and missing enable_vae_tiling in img2img/inpaint are different pipeline issues." + }, + { + "left": "issue:7936", + "right": "issue:8833", + "accept": false, + "reason": "Both involve loading artifacts, but invalid JSON on a local safetensors file and missing config.json for an SD3 model are different errors." + }, + { + "left": "issue:5570", + "right": "issue:5917", + "accept": false, + "reason": "A missing helper function in a package release and a checkpoint conversion failure after upgrade are not the same underlying bug." + }, + { + "left": "issue:10705", + "right": "issue:9450", + "accept": false, + "reason": "Same FluxPipeline family, but one is an inference slowdown when reusing a pipeline and the other is a multi-GPU device-placement error." + }, + { + "left": "issue:10893", + "right": "issue:7293", + "accept": false, + "reason": "These are unrelated feature requests for different model families." + }, + { + "left": "issue:1251", + "right": "issue:8832", + "accept": false, + "reason": "RePaint black images on MPS and a generic crash when indexing pipe(prompt).images[0] are different failure reports." + }, + { + "left": "issue:2875", + "right": "issue:6821", + "accept": false, + "reason": "Training loss NaNs and an invalid caption_column argument are unrelated." + }, + { + "left": "issue:6157", + "right": "issue:6218", + "accept": false, + "reason": "Both touch ControlNet/img2img, but one is ip_adapter integration and the other is batched seed handling; not the same concrete bug." + }, + { + "left": "issue:10421", + "right": "issue:11247", + "accept": false, + "reason": "Both mention multi-GPU, but one reports a CPU memory leak while moving pipelines and the other a FluxTransformer2DModel distribution error with ControlNet." + }, + { + "left": "issue:1185", + "right": "issue:2465", + "accept": false, + "reason": "Dreambooth reproducibility complaints are related only at a high level; these are different questions and reports." + }, + { + "left": "issue:1572", + "right": "issue:2026", + "accept": false, + "reason": "Stable Diffusion Mega img2img/inpainting and PaintByExample cpu_offload are different pipeline bugs." + }, + { + "left": "issue:8540", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3 training-related, but one asks about caching embeddings/VAE reps and the other about FP8/text-encoder availability." + }, + { + "left": "issue:5447", + "right": "issue:5619", + "accept": false, + "reason": "Both are img2img issues, but denoising_start with 2nd-order schedulers and AutoencodeTiny encode behavior are separate bugs." + }, + { + "left": "issue:4488", + "right": "issue:5592", + "accept": false, + "reason": "Checkpoint-loading failures for different models and APIs; not the same underlying issue." + }, + { + "left": "issue:4593", + "right": "issue:4975", + "accept": false, + "reason": "One is a LoRA rank validation/load failure and the other is a performance issue during LoRA loading." + }, + { + "left": "issue:1062", + "right": "issue:1944", + "accept": false, + "reason": "Both are Dreambooth reproducibility complaints, but they concern different model settings and symptom descriptions; too broad to treat as the same bug." + }, + { + "left": "issue:9164", + "right": "issue:9227", + "accept": false, + "reason": "Both involve train_dreambooth_lora_flux.py, but one is non-convergence of the dog example and the other is trouble running with FLUX.1-dev; different problems." + }, + { + "left": "issue:12612", + "right": "issue:12699", + "accept": false, + "reason": "Wan 2.1 latents becoming NaN and Wan 2.2 quality degrading over many prompts are not clearly 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": 112, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2364", + "issue:2439", + "issue:2480", + "issue:2659", + "issue:3101", + "issue:3428", + "issue:3812", + "issue:4255", + "issue:5577", + "issue:5593", + "issue:5630", + "issue:5647", + "issue:5687", + "issue:5881", + "issue:6069", + "issue:6250", + "issue:6297", + "issue:6540", + "issue:6870", + "issue:7243", + "issue:7405", + "issue:8359", + "issue:8909", + "issue:8939", + "issue:9026", + "issue:9052", + "issue:9069", + "issue:9208", + "issue:9237", + "issue:9278", + "issue:9613", + "issue:9667", + "issue:9768", + "issue:9911" + ], + "soft_pairs": [ + "issue:2364|issue:2480", + "issue:8359|issue:9052", + "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" + ], + "prepared_review_unit_hash": "b3d772c5608c8a78865c567fc8f55fba42c45c9c33e8ec89affa604bae821ca4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34464, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous cluster of unrelated Diffusers issues. The only plausible duplicate-like pair is the from_single_file checkpoint-loading regression; the rest are too semantically distant to merge.", + "confidence": 0.43, + "canonical_issue_reason": "Issue 8359 is the broadest and clearest umbrella report in the cluster: a general from_single_file regression on custom checkpoints. It best represents the only coherent subtheme here.", + "canonical_pr_reason": null, + "best_issue_reason": "8359 is the strongest global representative because it names the shared loader path and the broadest failure mode, making it the best anchor for this mostly loading-related subgroup.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2364", + "right": "issue:2480", + "accept": false, + "reason": "Both mention training scripts, but one is a generic run failure and the other is a checkpoint-folder output bug; not the same underlying defect." + }, + { + "left": "issue:8359", + "right": "issue:9052", + "accept": true, + "reason": "Both report from_single_file failing on checkpoints/civitai checkpoints; they point to the same checkpoint-loading code path and plausibly one fix." + }, + { + "left": "issue:9237", + "right": "issue:9278", + "accept": false, + "reason": "Both are Flux dreambooth training reports, but one is about a training error and the other is multi-GPU training; different concrete failure modes." + }, + { + "left": "issue:11133", + "right": "issue:9613", + "accept": false, + "reason": "One is a CogVideoX image-to-video pipeline bug, the other a dtype/device regression in DiffusionPipeline; unrelated code paths." + }, + { + "left": "issue:5647", + "right": "issue:5687", + "accept": false, + "reason": "Both concern img2img/inpaint behavior at low strength, but one is SDXL inpaint strength==1 and the other is Karras duplicate timesteps; similar area, different bug." + }, + { + "left": "issue:9026", + "right": "issue:9069", + "accept": false, + "reason": "These are different TypeErrors in different subsystems: load_checkpoint_and_dispatch vs ndarray type expectations." + }, + { + "left": "issue:11160", + "right": "issue:13258", + "accept": false, + "reason": "Both are WAN I2V-related, but one is inconsistent inference on WAN 2.1 14B and the other is a missing WAN 2.2 TI2V pipeline; not the same issue." + }, + { + "left": "issue:6297", + "right": "issue:8939", + "accept": false, + "reason": "Both are model/tokenizer loading problems, but SDXL LoRA training failure and SD3 tokenizer path error are distinct bugs." + }, + { + "left": "issue:5577", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file, but one is a ControlNet key lookup error and the other is broader ControlNet loading failure; too different to treat as the same bug." + }, + { + "left": "issue:3101", + "right": "issue:6540", + "accept": false, + "reason": "Both are controlnet training issues, but one is a training example error and the other is an FSDP matmul failure; not the same defect." + }, + { + "left": "issue:1672", + "right": "issue:2659", + "accept": false, + "reason": "One is wrong output size after ckpt-to-diffusers conversion; the other is batch-size-dependent variation in generated images. Different symptoms and causes." + }, + { + "left": "issue:5593", + "right": "issue:6069", + "accept": false, + "reason": "AutoPipeline.from_pipe ControlNet handling and DPM++ add_noise t=0 failure are unrelated." + }, + { + "left": "issue:4255", + "right": "issue:5881", + "accept": false, + "reason": "Both are quality complaints, but one is general SD output quality vs sd-webui and the other is animatediff quality; too broad and not the same change." + }, + { + "left": "issue:10671", + "right": "issue:8909", + "accept": false, + "reason": "Deterministic dtype/device behavior in DiffusionPipeline and saving text_encoder_ti in dreambooth training are unrelated." + }, + { + "left": "issue:1976", + "right": "issue:3812", + "accept": false, + "reason": "Tokenizer config path resolution and missing controlnet config keys are separate loading/config issues." + }, + { + "left": "issue:9768", + "right": "issue:9911", + "accept": false, + "reason": "A torch/CuDNN SDPA NaN regression is not the same as multi-ControlNet layer-length mismatch in Flux." + }, + { + "left": "issue:1572", + "right": "issue:2439", + "accept": false, + "reason": "StableDiffusionMega img2img/inpainting support and a general inpainting pipeline loading/running issue are not the same concrete bug." + }, + { + "left": "issue:6250", + "right": "issue:9667", + "accept": false, + "reason": "Both mention model loading, but SDXL VAE single-file loading and Flux FP8 local transformer loading are different paths." + }, + { + "left": "issue:7243", + "right": "issue:7405", + "accept": false, + "reason": "A paper/model request (ResAdapter) and a new model request (DynamiCrafter) are not duplicates." + }, + { + "left": "issue:10139", + "right": "issue:6870", + "accept": false, + "reason": "UNet sample_size pipeline-init bug and missing enable_vae_tiling in img2img/inpaint are unrelated." + }, + { + "left": "issue:1434", + "right": "issue:1478", + "accept": false, + "reason": "Upscale OOM at larger sizes and inability to handle more than one output image are different pipeline constraints." + }, + { + "left": "issue:3428", + "right": "issue:5630", + "accept": false, + "reason": "An unexpected img2img pipeline result and LMS leftover noise in SDXL img2img are separate behavior reports." + }, + { + "left": "issue:10223", + "right": "issue:10472", + "accept": false, + "reason": "A question about obtaining a LoRA ID in inference and a lora_bias constructor TypeError are not the same issue." + }, + { + "left": "issue:11199", + "right": "issue:11218", + "accept": false, + "reason": "Import failure for onnx_utils and missing CogView4LoraLoaderMixin are distinct import errors in different modules." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The cluster is indeed mostly heterogeneous, and the 8359/9052 from_single_file pair is the only clearly mergeable duplicate-like pair from the titles. No obvious overstatement in the soft-edge calls." + }, + "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": 113, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10144", + "issue:10317", + "issue:11298", + "issue:11351", + "issue:2052", + "issue:255", + "issue:2844", + "issue:3222", + "issue:3377", + "issue:3382", + "issue:3461", + "issue:3539", + "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:6517", + "issue:6524", + "issue:6610", + "issue:7049", + "issue:7568", + "issue:7619", + "issue:8485", + "issue:8645", + "issue:8649", + "issue:8879", + "issue:8885", + "issue:9141", + "issue:9320", + "issue:9410", + "issue:9556", + "issue:9856" + ], + "soft_pairs": [ + "issue:3377|issue:3539", + "issue:5544|issue:6517", + "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" + ], + "prepared_review_unit_hash": "750f84324e240f7bd30d5ffafc554cb5d2dd69a78fca60c7668f0a431c2f80d3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "These soft pairs are mostly false positives driven by generic diffusers boilerplate and shared keywords; they span different pipelines, scripts, model families, and failure modes, so they should not be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue stands out because the set is heterogeneous. If one must be chosen as the best anchor, issue:7619 is the strongest concrete bug report with a specific repro path and substantial discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7619 is the most representative standalone bug report here: it is specific to a concrete training script code path, clearly describes the failure mode, and has strong discussion/activity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3377", + "right": "issue:3539", + "accept": false, + "reason": "Both are training-related questions, but one is about SNR weighting and the other about main_process_first; different topics and no shared bug." + }, + { + "left": "issue:5544", + "right": "issue:6517", + "accept": false, + "reason": "Different code paths: FreeU disable handling vs an import failure in controlnet SDXL single-file loading." + }, + { + "left": "issue:6157", + "right": "issue:6524", + "accept": false, + "reason": "One is about IP-Adapter not working in ControlNetImg2ImgPipeline; the other is LoRA failing on a second load. Different features and bugs." + }, + { + "left": "issue:8645", + "right": "issue:9141", + "accept": false, + "reason": "Both mention single-file utilities, but one reports a missing helper function and the other a missing from_single_file API on FluxPipeline." + }, + { + "left": "issue:11298", + "right": "issue:8649", + "accept": false, + "reason": "LoRA hotswapping PEFT key error is unrelated to SD3 num_images_per_prompt being ignored/errored." + }, + { + "left": "issue:2052", + "right": "issue:4450", + "accept": false, + "reason": "Textual inversion resume-from-checkpoint and multi-text-inversion not working are different issues in related scripts, not the same bug." + }, + { + "left": "issue:3884", + "right": "issue:4639", + "accept": false, + "reason": "Different training scripts and failure modes: train_text_to_image_lora error vs dataloader multiprocessing error in train_instruct_pix2pix_sdxl." + }, + { + "left": "issue:10317", + "right": "issue:8879", + "accept": false, + "reason": "Both involve torch.compile, but they affect different pipelines and failure conditions (StableVideoDiffusion vs StableDiffusionXL+cudagraph)." + }, + { + "left": "issue:3694", + "right": "issue:8885", + "accept": false, + "reason": "One is about missing model/config files in a finetuning example; the other is clip-retrieval installation and modifier-token loading." + }, + { + "left": "issue:3382", + "right": "issue:3885", + "accept": false, + "reason": "One is a multi-GPU OOM in a training script; the other is a general question about reducing VRAM usage." + }, + { + "left": "issue:255", + "right": "issue:2844", + "accept": false, + "reason": "Different pipelines and errors: UNet block height/width validation vs passing image embeddings into StableUnCLIPImg2ImgPipeline." + }, + { + "left": "issue:6154", + "right": "issue:9856", + "accept": false, + "reason": "SDXL LoRA training on M2 Mac Mini and distributed port-collision errors are unrelated." + }, + { + "left": "issue:4638", + "right": "issue:4885", + "accept": false, + "reason": "Both concern LoRA/textual inversion loading, but one is SDXL textual inversion loading and the other is SDXL ControlNetImg2Img LoRA loading." + }, + { + "left": "issue:9320", + "right": "issue:9556", + "accept": false, + "reason": "Both discuss saved adapter/model handling, but they involve different training modes and failure mechanisms (custom diffusion vs rslora)." + }, + { + "left": "issue:4306", + "right": "issue:5544", + "accept": false, + "reason": "StableDiffusionReferencePipeline list-index error is unrelated to FreeU disable handling in SDXL." + }, + { + "left": "issue:10144", + "right": "issue:11351", + "accept": false, + "reason": "Different models and problems: Mochi output quality vs Wan i2v processor datatype behavior." + }, + { + "left": "issue:4241", + "right": "issue:8485", + "accept": false, + "reason": "These are separate feature requests for LoRA support on different model families, not duplicates." + }, + { + "left": "issue:4256", + "right": "issue:7619", + "accept": false, + "reason": "Both are DreamBooth training issues, but they describe different scripts, model variants, and error conditions." + }, + { + "left": "issue:5603", + "right": "issue:9410", + "accept": false, + "reason": "Distinct import problems affecting different symbols and modules." + }, + { + "left": "issue:6112", + "right": "issue:7568", + "accept": false, + "reason": "One reports noisy SDXL-Turbo outputs; the other asks about prompt tokens for interpolation. Not the same bug." + }, + { + "left": "issue:4402", + "right": "issue:6610", + "accept": false, + "reason": "Both involve from_single_file on inpainting pipelines, but one is a usage/runtime error and the other is num_in_channels being ignored." + }, + { + "left": "issue:3461", + "right": "issue:3584", + "accept": false, + "reason": "DreamBooth performance/vRAM comparison vs tutorial failure are different issues; the overlap is only the broad training area." + }, + { + "left": "issue:3222", + "right": "issue:6176", + "accept": false, + "reason": "Custom diffusion missing output artifact and DreamBooth LoRA load failure are unrelated training workflows." + }, + { + "left": "issue:6107", + "right": "issue:7049", + "accept": false, + "reason": "An environment-specific IP-Adapter app issue on EC2 is not the same as a basic example unpacking 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": 114, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10302", + "issue:10608", + "issue:10795", + "issue:10972", + "issue:1100", + "issue:11014", + "issue:11133", + "issue:11247", + "issue:11642", + "issue:11702", + "issue:11989", + "issue:13281", + "issue:13488", + "issue:1363", + "issue:1614", + "issue:1709", + "issue:2089", + "issue:2359", + "issue:2495", + "issue:2603", + "issue:3631", + "issue:3764", + "issue:4241", + "issue:4788", + "issue:5254", + "issue:5540", + "issue:5670", + "issue:6096", + "issue:7159", + "issue:7221", + "issue:7431", + "issue:7441", + "issue:7616", + "issue:7682", + "issue:8511", + "issue:8556", + "issue:8644", + "issue:8673", + "issue:8708", + "issue:8828", + "issue:9187", + "issue:9237", + "issue:9514", + "issue:962", + "issue:9637", + "issue:9667", + "issue:9861", + "issue:9895" + ], + "soft_pairs": [ + "issue:11014|issue:2089", + "issue:7431|issue:9237", + "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" + ], + "prepared_review_unit_hash": "847b646e82cd970a183c37c874bc48e942e6ad225788dd5a127f57d9a2c75581", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34130, + "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 separate diffusers bugs around offloading/device placement, training, quantization, and torch.compile. The only strong common thread is a broad class of offloading-related failures, but the pairings are not duplicates and should stay separate.", + "confidence": 0.88, + "canonical_issue_reason": "issue:13488 is the broadest and most representative offloading regression report in the set; it covers a general device/offloading breakage rather than a model-specific symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:13488 is the best umbrella issue for this cluster because it matches the shared offloading/device-mismatch theme more than the narrower model- or task-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11014", + "right": "issue:2089", + "accept": false, + "reason": "Both mention OOM, but one is inference on Colab A100 and the other is DreamBooth training; different workflows and failure modes." + }, + { + "left": "issue:7431", + "right": "issue:9237", + "accept": false, + "reason": "Both involve LoRA training, but one is DoRA with text encoder and the other is Flux Dreambooth/LoRA; different model/training paths." + }, + { + "left": "issue:11247", + "right": "issue:7682", + "accept": false, + "reason": "Both are multi-GPU related, but one is FluxTransformer2DModel with ControlNet and the other is SD1.5 on weaker GPUs; not the same bug." + }, + { + "left": "issue:8556", + "right": "issue:8644", + "accept": false, + "reason": "Both hit meta-tensor/offload errors, but one is SD3 from_single_file loading and the other is separately loading the T5 encoder with sequential/model CPU offload." + }, + { + "left": "issue:10795", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile, but one is GGUF loading via from_single_file and the other is LoRA fusion compile failure; different concrete code paths." + }, + { + "left": "issue:5254", + "right": "issue:962", + "accept": false, + "reason": "Both concern inpaint pipelines, but one is Multi-ControlNet support and the other is unsupported image size; unrelated changes." + }, + { + "left": "issue:10972", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA-loading errors, but one is OneTrainer Flux LoRA weights and the other is AccVid LoRA keys; different serialization formats." + }, + { + "left": "issue:4788", + "right": "issue:5540", + "accept": false, + "reason": "Both are generic OOM reports, but one is SD XL inpaint on 6 GB VRAM and the other is inference OOM more generally; not the same underlying 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 SD3 issues." + }, + { + "left": "issue:2603", + "right": "issue:5670", + "accept": false, + "reason": "Both are non-square image generation bugs, but they involve different pipelines (Attend-And-Excite vs PixArtAlpha) and likely separate validation logic." + }, + { + "left": "issue:1100", + "right": "issue:1709", + "accept": false, + "reason": "These are both attribute/type errors, but one is a CLIPTextTransformer device attribute issue and the other is a Tensor.astype ONNX error." + }, + { + "left": "issue:10302", + "right": "issue:9895", + "accept": false, + "reason": "Both mention FP8/device issues in Flux inference, but one is noise without CPU offloading and the other is a specific cuda/cpu mismatch after a commit; not clearly the same bug." + }, + { + "left": "issue:1614", + "right": "issue:2495", + "accept": false, + "reason": "Both produce black images, but one is Stable Diffusion 2.1 under autocast and the other is MPS upscale pipeline; distinct execution environments and causes." + }, + { + "left": "issue:2359", + "right": "issue:4241", + "accept": false, + "reason": "These are unrelated feature requests: latent output_type for img2img versus fine-tuning unidiffusers with LoRA." + }, + { + "left": "issue:11133", + "right": "issue:9637", + "accept": false, + "reason": "Both are attention-related failures, but one is a CogVideoX image-to-video pipeline bug and the other is XFormers bfloat16 attention-mask shape handling." + }, + { + "left": "issue:10608", + "right": "issue:7441", + "accept": false, + "reason": "One is a HunyuanVideoPipeline multi-GPU problem; the other is a pytest/python3.12 environment issue. No shared bug." + }, + { + "left": "issue:1363", + "right": "issue:3631", + "accept": false, + "reason": "Both involve pipeline/runtime errors, but one is an ONNX scheduler issue and the other is inpainting with provided latents; different code paths." + }, + { + "left": "issue:7221", + "right": "issue:7616", + "accept": false, + "reason": "Both mention artifacts/noise, but one is a specific FP16 model producing noisy pictures and the other is low-denoise img2img artifacts; not the same defect." + }, + { + "left": "issue:8511", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training issues, but one is text encoders not being unloaded in scripts and the other is a generic 16GB training error; too broad to merge." + }, + { + "left": "issue:9187", + "right": "issue:9861", + "accept": false, + "reason": "Both are Flux/SDXL-related, but one is IP-Adapter loading after Kolors update and the other is Flux training not updating the transformer; different subsystems." + }, + { + "left": "issue:9514", + "right": "issue:9667", + "accept": false, + "reason": "Both concern Flux fp8 loading, but one is inability to load LoRA weights after fp8 quantization and the other is loading the fp8 model with a local transformer file; separate failures." + }, + { + "left": "issue:11642", + "right": "issue:11989", + "accept": false, + "reason": "One is a FluxPriorReduxPipeline scaling parameter having no effect; the other is a black inference image with unclear weight issues. Different symptoms and likely causes." + }, + { + "left": "issue:13281", + "right": "issue:13488", + "accept": false, + "reason": "Both are offloading/device-mismatch related, but one is torchao quantized models with use_stream=True in Qwen image and the other is a general diffusers dev0 offloading regression; not the same concrete bug." + }, + { + "left": "issue:3764", + "right": "issue:6096", + "accept": false, + "reason": "Both involve torch.compile failures, but one is interpreter-shutdown futures scheduling and the other is SVD DynamicOutputShapeException; unrelated compile 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": 115, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3097", + "issue:3238", + "issue:3468", + "issue:3761", + "issue:3915", + "issue:4094", + "issue:4282", + "issue:4419", + "issue:4520", + "issue:4578", + "issue:460", + "issue:5399", + "issue:5429", + "issue:5565", + "issue:5873", + "issue:5932", + "issue:6196", + "issue:6250", + "issue:6283", + "issue:6685", + "issue:6811", + "issue:7009", + "issue:7168", + "issue:7210", + "issue:7480", + "issue:7982", + "issue:8540", + "issue:861", + "issue:8788", + "issue:8886", + "issue:9306", + "issue:9343", + "issue:9497", + "issue:9803", + "issue:9895" + ], + "soft_pairs": [ + "issue:3097|issue:7480", + "issue:6283|issue:7168", + "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" + ], + "prepared_review_unit_hash": "d7b9cf03646d9d2aae665f6b4f5cfe6c99b4bd0c4c1f416c74ce7cb6a868b11b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33610, + "estimated_input_tokens": 8403, + "estimated_eval_tokens": 17062 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated issue reports across different pipelines/models; the soft matches are superficial title similarity, not the same underlying bug. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #9343 is the most substantive and current bug report in the set, with detailed repros around a concrete Flux loading failure; it is the best single issue to represent the cluster, even though the cluster itself is not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "#9343 is a strong representative because it is an active, detailed Flux regression report with clear symptoms and environment context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3097", + "right": "issue:7480", + "accept": false, + "reason": "Textual inversion loading and DeepFloyd OOM are unrelated failure modes in different features." + }, + { + "left": "issue:6283", + "right": "issue:7168", + "accept": false, + "reason": "ControlNet img2img strength=0 behavior and IP-Adapter image embeds are different pipeline/component issues." + }, + { + "left": "issue:2704", + "right": "issue:4282", + "accept": false, + "reason": "Both mention Multi-ControlNet, but one is batch processing and the other is adding the pipeline itself; not the same bug." + }, + { + "left": "issue:2780", + "right": "issue:3238", + "accept": false, + "reason": "FP16 gradient unscale during LoRA training and LoRA safetensor conversion are unrelated." + }, + { + "left": "issue:1500", + "right": "issue:3761", + "accept": false, + "reason": "Community pipeline compatibility with a diffusers release is unrelated to loading multiple community pipelines in one process." + }, + { + "left": "issue:3468", + "right": "issue:5565", + "accept": false, + "reason": "Missing model_index.json in DreamBooth output is unrelated to an SDXL LoRA DreamBooth script not running." + }, + { + "left": "issue:10712", + "right": "issue:7210", + "accept": false, + "reason": "StableDiffusion3 prompt_embeds runtime error and missing named_parameters on a pipeline are different code paths." + }, + { + "left": "issue:3065", + "right": "issue:4094", + "accept": false, + "reason": "DreamBooth text-encoder LoRA support and T2I adapter training are different feature requests." + }, + { + "left": "issue:6196", + "right": "issue:6250", + "accept": false, + "reason": "ControlNetXS depth loading and SDXL VAE single-file loading are unrelated model-loading problems." + }, + { + "left": "issue:10025", + "right": "issue:8886", + "accept": false, + "reason": "Flux attention mask support and AuraFlow SDPA attention-mask propagation are separate model-specific issues." + }, + { + "left": "issue:6811", + "right": "issue:7009", + "accept": false, + "reason": "Missing model_index.json for i2vgen-xl and poor results from a text-to-video model are not the same defect." + }, + { + "left": "issue:9306", + "right": "issue:9895", + "accept": false, + "reason": "Both are CogVideoX/Flux device-selection style reports, but they concern different pipelines and regressions." + }, + { + "left": "issue:2161", + "right": "issue:5399", + "accept": false, + "reason": "LoRA training on an inpainting model and dtype mismatch during custom inpainting inference are distinct problems." + }, + { + "left": "issue:3915", + "right": "issue:4520", + "accept": false, + "reason": "torch.compile not working for text-to-video pipelines is unrelated to LoRA scaling with attention slicing." + }, + { + "left": "issue:11208", + "right": "issue:8788", + "accept": false, + "reason": "MultiControlNet support in SD3 inpainting and SD3 VAE tiling for non-power-of-two images are different bugs." + }, + { + "left": "issue:2554", + "right": "issue:460", + "accept": false, + "reason": "Unreleased accelerate version requirement and ONNXRuntime CPU/CUDA dependency are unrelated packaging issues." + }, + { + "left": "issue:10797", + "right": "issue:7982", + "accept": false, + "reason": "HunyuanVideo group offloading and MultiControlNet from_pipe behavior are separate pipeline/component problems." + }, + { + "left": "issue:5429", + "right": "issue:8540", + "accept": false, + "reason": "Supporting models without VAE in examples and SD3 dreambooth embedding/VAE caching are different training/example concerns." + }, + { + "left": "issue:5873", + "right": "issue:6685", + "accept": false, + "reason": "ONNX export failure for scaled_dot_product_attention and DreamBooth output_dir path handling are unrelated." + }, + { + "left": "issue:12535", + "right": "issue:12565", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading and Wan2.1 i2v running issues are different model/version reports." + }, + { + "left": "issue:9343", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux-related, but one is a low_cpu_mem_usage / mismatched sizes load error and the other is LoRA loading failure." + }, + { + "left": "issue:5932", + "right": "issue:9497", + "accept": false, + "reason": "Channel mismatch in an inpainting model and a Flux DreamBooth mat2 shape error are unrelated runtime failures." + }, + { + "left": "issue:3761", + "right": "issue:861", + "accept": false, + "reason": "Loading two community pipelines in one process and ckpt-to-diffusers conversion are different issues." + }, + { + "left": "issue:4419", + "right": "issue:4578", + "accept": false, + "reason": "Offset-noise inference mismatch and a documentation bug about VAE usage are not the same change 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": 116, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:4324", + "issue:4398", + "issue:4436", + "issue:4468", + "issue:4806", + "issue:5259", + "issue:5502", + "issue:5607", + "issue:5689", + "issue:5886", + "issue:6008", + "issue:6107", + "issue:6382", + "issue:6482", + "issue:6520", + "issue:6914", + "issue:7310", + "issue:7782", + "issue:7936", + "issue:8405", + "issue:8440", + "issue:8507", + "issue:8626", + "issue:8667", + "issue:9023", + "issue:9187", + "issue:9362", + "issue:9546" + ], + "soft_pairs": [ + "issue:4468|issue:9023", + "issue:5259|issue:7936", + "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" + ], + "prepared_review_unit_hash": "0af8e5f67cbd120eefc9675799c4ac1305c74bd0fc353be2beb5c54c2f4e2cac", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34525, + "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 mostly false-positive similarity: the issues span unrelated bugs in LoRA, IP-Adapter, ControlNet, SDXL/Flux training, conversion scripts, and black-image/output failures. None of the soft pairs appear to describe the same underlying bug or change.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 11298 is the most substantial open, actionable LoRA bug in the set, but the cluster is heterogeneous and does not really have a single true canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "11298 is the best representative issue only because it is open, detailed, and centered on a concrete user-facing LoRA failure; the rest are too disparate to serve as one hub.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4468", + "right": "issue:9023", + "accept": false, + "reason": "Different problems: multi-GPU performance discrepancy vs. sample code not running at all." + }, + { + "left": "issue:5259", + "right": "issue:7936", + "accept": false, + "reason": "Missing model_index.json is not the same as invalid JSON while loading a local safetensors file." + }, + { + "left": "issue:6382", + "right": "issue:8626", + "accept": false, + "reason": "One is an IP-adapter key error in SDXL/LCM LoRA training; the other is guidance for multiple images/masks with a single IP adapter." + }, + { + "left": "issue:1539", + "right": "issue:4806", + "accept": false, + "reason": "Conversion script type bug is unrelated to the UNet2DModel parameter type issue." + }, + { + "left": "issue:3487", + "right": "issue:3566", + "accept": false, + "reason": "Both involve image quality, but one is inpaint strength with EulerAncestral and the other is a controlnet_reference community pipeline result issue." + }, + { + "left": "issue:4324", + "right": "issue:5502", + "accept": false, + "reason": "A NoneType in UNet forward is a different failure mode from fp16 support in custom diffusion training." + }, + { + "left": "issue:5886", + "right": "issue:6914", + "accept": false, + "reason": "Support request for IP-Adapter face model is not the same as an offload-related FaceID attribute error." + }, + { + "left": "issue:2459", + "right": "issue:2674", + "accept": false, + "reason": "xformers attention not working in a training script is unrelated to missing safetensors dependency support." + }, + { + "left": "issue:2412", + "right": "issue:4256", + "accept": false, + "reason": "Generic dreambooth errors, but one is not the same bug as SDXL Dreambooth training failure." + }, + { + "left": "issue:6482", + "right": "issue:8507", + "accept": false, + "reason": "FP16 unscale on checkpoint resume is unrelated to SD3 text_encoder training failure." + }, + { + "left": "issue:5607", + "right": "issue:9362", + "accept": false, + "reason": "Tensor size mismatch in concatenation is not the same as an index-out-of-bounds error." + }, + { + "left": "issue:10855", + "right": "issue:8440", + "accept": false, + "reason": "Gradient accumulation optimizer-step behavior is unrelated to a FromOriginalModelMixin subclass ValueError." + }, + { + "left": "issue:10969", + "right": "issue:9546", + "accept": false, + "reason": "Zero3 training weight-dimension failure is different from validation OOM in the Flux controlnet example." + }, + { + "left": "issue:4436", + "right": "issue:7782", + "accept": false, + "reason": "Converting CIFITAI safetensors with VAE is a different issue than a safetensors invalid-load-key parsing error." + }, + { + "left": "issue:10674", + "right": "issue:9187", + "accept": false, + "reason": "Flux GGUF compatibility and SDXL IP-Adapter image_encoder_folder=None are separate pipeline issues." + }, + { + "left": "issue:4398", + "right": "issue:5689", + "accept": false, + "reason": "Black SDXL LoRA-dreambooth output and residual noise with DPM++ are distinct image-quality bugs." + }, + { + "left": "issue:10165", + "right": "issue:10952", + "accept": false, + "reason": "Seed preservation when changing LoRA scale is unrelated to an adapter-name mismatch error in SDXLLongPromptWeightingPipeline." + }, + { + "left": "issue:6520", + "right": "issue:7310", + "accept": false, + "reason": "Blank validation output during adapter training is not the same as defaults failing in SDXL text-to-image LoRA training." + }, + { + "left": "issue:8405", + "right": "issue:8667", + "accept": false, + "reason": "Multiple ControlNets tensor-size error and SD3ControlNetModel non-power-of-two image mismatch are different shape bugs." + }, + { + "left": "issue:3431", + "right": "issue:3487", + "accept": false, + "reason": "Both are inpainting-related, but the reported failure modes and scheduler/controlnet contexts differ." + }, + { + "left": "issue:6008", + "right": "issue:6107", + "accept": false, + "reason": "IP-Adapter plus face failing with LCM LoRA after a release is unrelated to an app that works locally but not on AWS EC2." + }, + { + "left": "issue:11247", + "right": "issue:11298", + "accept": false, + "reason": "Distributed FluxTransformer2DModel with controlnet and LoRA hotswapping key errors are different code paths and fixes." + }, + { + "left": "issue:10674", + "right": "issue:11370", + "accept": false, + "reason": "Flux GGUF support and a corrupted/invalid pickle load in the Hunyuan conversion script are unrelated." + }, + { + "left": "issue:1251", + "right": "issue:1614", + "accept": false, + "reason": "Black RePaint output on MPS and black SD2.1 output with autocast are separate device/autocast bugs." + }, + { + "left": "issue:307", + "right": "issue:4080", + "accept": false, + "reason": "A request to merge Stable Diffusion pipelines is not the same as adding an SDXL inpainting 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": 117, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:4306", + "issue:4460", + "issue:4488", + "issue:4504", + "issue:4641", + "issue:4667", + "issue:5152", + "issue:5524", + "issue:5621", + "issue:5630", + "issue:5703", + "issue:5886", + "issue:5889", + "issue:5997", + "issue:6382", + "issue:6460", + "issue:7053", + "issue:7421", + "issue:7483", + "issue:761", + "issue:8440", + "issue:8469", + "issue:8546", + "issue:8579", + "issue:8873", + "issue:8885", + "issue:9421", + "issue:9515", + "issue:9895" + ], + "soft_pairs": [ + "issue:4306|issue:6382", + "issue:4488|issue:5621", + "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" + ], + "prepared_review_unit_hash": "592075d5b34556c353871364445cece6b1f2b503e0fbd1089ec0eed39bd159d1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34060, + "estimated_input_tokens": 8515, + "estimated_eval_tokens": 17286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false-positive semantic grouping: the issues span many unrelated bugs (imports, SDXL/ControlNet, LoRA conversion, training, offloading, scheduler behavior, etc.). None of the soft pairs look like the same underlying defect, so they should stay separate.", + "confidence": 0.97, + "canonical_issue_reason": "issue:11343 is the broadest, most representative import-regression report, but it is not a true canonical for this whole mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11343 is the closest representative because it describes a general diffusers import failure after a transformers update; even so, it only fits a small slice of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4306", + "right": "issue:6382", + "accept": false, + "reason": "Different bugs: list-index error in StableDiffusionReferencePipeline vs IP-Adapter key error during SDXL LoRA training/inference." + }, + { + "left": "issue:4488", + "right": "issue:5621", + "accept": false, + "reason": "Different problem areas: SDXL checkpoint loading from single file vs ControlNet encoder_hid_proj support." + }, + { + "left": "issue:4504", + "right": "issue:4641", + "accept": false, + "reason": "Both are LoRA-related, but one is a loading exception from state_dict handling and the other is local-file load_lora_weights behavior; not the same concrete bug." + }, + { + "left": "issue:5152", + "right": "issue:5524", + "accept": false, + "reason": "W\u00fcrstchen version bug vs W\u00fcrstchen LoRA attribute error; related subsystem, but different failures." + }, + { + "left": "issue:5886", + "right": "issue:8469", + "accept": false, + "reason": "IP-Adapter face-model support request vs corrupt faces on a specific face model; feature request vs output quality bug." + }, + { + "left": "issue:5889", + "right": "issue:6460", + "accept": false, + "reason": "Stable video diffusion request vs endless loading of an inpainting model; unrelated model/pipeline problems." + }, + { + "left": "issue:8440", + "right": "issue:8873", + "accept": false, + "reason": "Subclass FromOriginalModelMixin ValueError vs xformers performance slowdown; not the same issue." + }, + { + "left": "issue:4185", + "right": "issue:5997", + "accept": false, + "reason": "Both involve SDXL ControlNet, but one is black images and the other is a model-type instantiation mismatch in a tutorial." + }, + { + "left": "issue:3045", + "right": "issue:7483", + "accept": false, + "reason": "LoRA conversion in general vs SDXL 1.0 base-model conversion failure; same broad topic, different concrete code paths." + }, + { + "left": "issue:12052", + "right": "issue:9895", + "accept": false, + "reason": "Different device-mismatch failures in different pipelines/models (Wan 2.2 offloading vs FluxPipeline after a commit)." + }, + { + "left": "issue:4109", + "right": "issue:7421", + "accept": false, + "reason": "Different pipeline bugs: SDXL inpaint not working vs seed handling in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:8546", + "right": "issue:8579", + "accept": false, + "reason": "Both SD3-related, but one is missing from-single-file support and the other is LoRA support not functional." + }, + { + "left": "issue:11199", + "right": "issue:11343", + "accept": false, + "reason": "Both are import failures, but one is specific to diffusers.pipelines.onnx_utils while the other is a broader transformers-update import regression." + }, + { + "left": "issue:2609", + "right": "issue:4460", + "accept": false, + "reason": "Canny ControlNet checkpoint request vs differing outputs between stable diffusion and diffusers; no shared bug." + }, + { + "left": "issue:3154", + "right": "issue:3223", + "accept": false, + "reason": "Both mention memory/clearing, but one is disk offloading when RAM is full and the other is RAM not cleared after moving pipeline to cuda." + }, + { + "left": "issue:3540", + "right": "issue:4667", + "accept": false, + "reason": "TextToVideoZero prompt-embed inputs vs StableDiffusionPipeline.from_single_file regression; unrelated API paths." + }, + { + "left": "issue:2156", + "right": "issue:3613", + "accept": false, + "reason": "Dreambooth GPU usage vs Dreambooth OOM with torch 2.0; performance/placement issue vs memory exhaustion." + }, + { + "left": "issue:1125", + "right": "issue:1925", + "accept": false, + "reason": "Both are inpainting-related, but one is a runtime error in a specific pipeline and the other is half-precision failure on SD2 inpainting." + }, + { + "left": "issue:5630", + "right": "issue:5703", + "accept": false, + "reason": "Different scheduler issues: leftover noise with LMS in SDXL img2img vs inability to reconstruct noise with ddim_inverse." + }, + { + "left": "issue:7053", + "right": "issue:9515", + "accept": false, + "reason": "3D UNet class-conditioning issue vs SD3 JointAttnProcessor2_0 RMSNorm omission; different model components." + }, + { + "left": "issue:1524", + "right": "issue:3346", + "accept": false, + "reason": "Textual inversion training quality vs dreambooth resume_from_checkpoint support; unrelated training concerns." + }, + { + "left": "issue:1536", + "right": "issue:1616", + "accept": false, + "reason": "LPW custom pipeline incompatibility vs LPW community pipeline on a specific diffusers version; same area but not the same failure." + }, + { + "left": "issue:2324", + "right": "issue:761", + "accept": false, + "reason": "Dreambooth instance-data loading bug vs 8-bit Adam training failure; separate training path problems." + }, + { + "left": "issue:8885", + "right": "issue:9421", + "accept": false, + "reason": "Custom Diffusion colab/install and modifier token issue vs access to runwayml/stable-diffusion-inpainting model; 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": 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-50-3013", + "nodes": [ + "issue:10392", + "issue:10421", + "issue:10653", + "issue:11135", + "issue:11182", + "issue:11418", + "issue:11702", + "issue:12011", + "issue:12052", + "issue:12499", + "issue:12529", + "issue:12657", + "issue:13001", + "issue:13140", + "issue:1717", + "issue:2185", + "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:4389", + "issue:4664", + "issue:4697", + "issue:4779", + "issue:4852", + "issue:5016", + "issue:5150", + "issue:5153", + "issue:5442", + "issue:6196", + "issue:6460", + "issue:6821", + "issue:6949", + "issue:7133", + "issue:7333", + "issue:7431", + "issue:7793", + "issue:7851", + "issue:9187", + "issue:9527" + ], + "soft_pairs": [ + "issue:4389|issue:6196", + "issue:4697|issue:9187", + "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" + ], + "prepared_review_unit_hash": "6b8c93608a08567332c1dc5e50c11cbf59d48ca20a89ab0b73eb7dfd81cb41b1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34031, + "estimated_input_tokens": 8508, + "estimated_eval_tokens": 17272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items in this set are unrelated model/pipeline bug reports or feature requests. Only one soft pair looks like the same underlying issue: SDXL LoRA training with text encoder/text_encoders in the Dreambooth LoRA script.", + "confidence": 0.92, + "canonical_issue_reason": "issue:5016 is the clearest anchor for the shared SDXL LoRA text-encoder training bug because it names the exact script (`train_dreambooth_lora_sdxl.py`) and the failing capability explicitly.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5016 is the best representative issue: it is concrete, specific, and directly overlaps the duplicate-looking SDXL LoRA text-encoder training report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4389", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading errors, but one is generic ControlNetModel loading and the other is ControlNetXS Depth SDXL; different model paths and failure modes." + }, + { + "left": "issue:4697", + "right": "issue:9187", + "accept": false, + "reason": "Both mention LoRA/IP-Adapter loading problems, but they target different components and triggers (specific LoRA after 0.20.0 vs SDXL IP-Adapter after Kolors update)." + }, + { + "left": "issue:1717", + "right": "issue:4303", + "accept": false, + "reason": "Offline cache loading failure is unrelated to a Flax SDXL load crash; different subsystem and bug class." + }, + { + "left": "issue:4340", + "right": "issue:5016", + "accept": true, + "reason": "Both report the same SDXL LoRA text-encoder training problem in Dreambooth/LoRA training, and could plausibly be merged into one fix." + }, + { + "left": "issue:4852", + "right": "issue:7793", + "accept": false, + "reason": "Generic LoRA loading error vs DeepFloyd LoRA unloading error are different code paths and not clearly the same bug." + }, + { + "left": "issue:3296", + "right": "issue:4664", + "accept": false, + "reason": "Checkpoint save/load with text_encoder is a training bug; the SDXL LoRA issue is a model/pipeline naming/loading problem." + }, + { + "left": "issue:4306", + "right": "issue:7851", + "accept": false, + "reason": "List-index-out-of-range in reference pipeline is unrelated to concurrent pipeline-call out-of-bounds; similar symptom, different context." + }, + { + "left": "issue:11702", + "right": "issue:13001", + "accept": false, + "reason": "Both are model-loading shape/key problems, but they involve different model families and different failures (LoRA key error vs GGUF shape mismatch)." + }, + { + "left": "issue:10421", + "right": "issue:10653", + "accept": false, + "reason": "A CPU memory leak while moving pipelines to multiple GPUs is not the same as bitsandbytes 8-bit modules refusing `.to(cpu)`. " + }, + { + "left": "issue:10392", + "right": "issue:11418", + "accept": false, + "reason": "Hyper-FLUX FP8 LoRA usage and adding a FLUX1 fill FP8 file are different requests/issues, not a shared bug." + }, + { + "left": "issue:12657", + "right": "issue:13140", + "accept": false, + "reason": "Both involve Qwen Edit, but one is a quantized regression and the other is a NoneType error in pipeline composition; not the same concrete bug." + }, + { + "left": "issue:3454", + "right": "issue:3651", + "accept": false, + "reason": "Latest-version breakage in a LoRA script and multi-GPU failure in plain Dreambooth are different training scenarios and likely different fixes." + }, + { + "left": "issue:11182", + "right": "issue:9527", + "accept": false, + "reason": "Unnecessary BF16 download and a controlnet/mainpipe dtype mismatch are separate issues." + }, + { + "left": "issue:5153", + "right": "issue:5442", + "accept": false, + "reason": "FreeU and ScaleCrafter are different pipeline/model features, not duplicate bug reports." + }, + { + "left": "issue:2185", + "right": "issue:3871", + "accept": false, + "reason": "Missing config files for naive text-to-image training is unrelated to checkpoint resume errors." + }, + { + "left": "issue:7133", + "right": "issue:7431", + "accept": false, + "reason": "Checkpoint size mismatch in SDXL Dreambooth LoRA and DoRA text-encoder training issues overlap only broadly; they are not the same bug." + }, + { + "left": "issue:11135", + "right": "issue:3826", + "accept": false, + "reason": "These are two different new pipeline proposals (SmoothCache vs Audio-Journey), so they are not duplicates." + }, + { + "left": "issue:2659", + "right": "issue:6949", + "accept": false, + "reason": "Batch-size variation and even-step blank images are distinct generation correctness bugs." + }, + { + "left": "issue:12499", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan 2.2 shape/tensor mismatches, but one is condition-shape and the other is tiled-VAE tensor-size mismatch; different layers of the pipeline." + }, + { + "left": "issue:3871", + "right": "issue:6821", + "accept": false, + "reason": "Checkpoint-resume failure and caption_column validation error are different training problems." + }, + { + "left": "issue:12011", + "right": "issue:12052", + "accept": false, + "reason": "OOM during Wan 2.2 i2v inference and a device-mismatch multiply failure are different concrete failures." + }, + { + "left": "issue:4194", + "right": "issue:5150", + "accept": false, + "reason": "VAE loading problems with from_single_file and a missing from_single_file method on UpscalePipeline are not the same issue." + }, + { + "left": "issue:2830", + "right": "issue:7333", + "accept": false, + "reason": "A general question about making image+text-to-video and a specific image-to-video technique proposal are not duplicate bug/change reports." + }, + { + "left": "issue:3706", + "right": "issue:6460", + "accept": false, + "reason": "A new model announcement (Wuerstchen) is unrelated to an endless-loading bug when loading an inpainting model." + }, + { + "left": "issue:4779", + "right": "issue:7333", + "accept": false, + "reason": "ModelScope image-to-video pipeline discussion and a Tuning-Free Noise Rectification technique are different changes, not the same underlying item." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the only accepted soft pair, issue:4340 vs issue:5016, is strongly supported by the titles and appears mergeable as the same SDXL LoRA text-encoder training bug. The remaining pairwise verdicts are conservative and do not overstate duplicate 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": 119, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1013", + "issue:1055", + "issue:11006", + "issue:11148", + "issue:12012", + "issue:1261", + "issue:1363", + "issue:1565", + "issue:2324", + "issue:2361", + "issue:2465", + "issue:2534", + "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:7682", + "issue:785", + "issue:8277", + "issue:8477", + "issue:8939", + "issue:9167", + "issue:9780" + ], + "soft_pairs": [ + "issue:11148|issue:12012", + "issue:1363|issue:2534", + "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" + ], + "prepared_review_unit_hash": "de10045c0b8aa849b427e8b4125eb059c8f56e2987fe2a0bdcd0cf7f64e87646", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34277, + "estimated_input_tokens": 8570, + "estimated_eval_tokens": 17396 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of Diffusers/Wan/SDXL/DreamBooth/LoRA training and pipeline issues. The soft pairs share broad subsystem keywords, but they do not look like the same concrete bug or mergeable fix.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 3584 is the broadest representative here: it concerns a failed DreamBooth Diffusers tutorial and sits near several other training/example regressions.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3584 is the best global issue candidate because it is general enough to anchor the training/tutorial side of the cluster without being tied to a single narrow failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11148", + "right": "issue:12012", + "accept": false, + "reason": "Different subsystems and failures: PEFT adapter state vs Wan cache/context error." + }, + { + "left": "issue:1363", + "right": "issue:2534", + "accept": false, + "reason": "Both involve schedulers/ONNX-adjacent text, but the concrete errors and code paths are unrelated." + }, + { + "left": "issue:1013", + "right": "issue:3970", + "accept": false, + "reason": "Different problems: missing/working pipeline class in older Diffusers vs SDXL prompt embeddings behavior." + }, + { + "left": "issue:2324", + "right": "issue:2465", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a training-data ingestion bug and the other is a recipe/how-to question." + }, + { + "left": "issue:4236", + "right": "issue:5433", + "accept": false, + "reason": "SDXL refiner text-encoder registration and DPM++ visual artifacts are distinct issues." + }, + { + "left": "issue:5436", + "right": "issue:6092", + "accept": false, + "reason": "ControlNet XL example error and LoRA example not training are different training failures." + }, + { + "left": "issue:11006", + "right": "issue:12012", + "accept": false, + "reason": "Same Wan family, but one is broken video output and the other is a missing-context exception from caching." + }, + { + "left": "issue:1565", + "right": "issue:8939", + "accept": false, + "reason": "GPU placement/OOM vs tokenizer-loading failure are unrelated." + }, + { + "left": "issue:7682", + "right": "issue:9780", + "accept": false, + "reason": "Multi-GPU SD1.5 execution and SD3.5 model attribute mismatch are different code paths and model families." + }, + { + "left": "issue:8277", + "right": "issue:8477", + "accept": false, + "reason": "Both touch consistency training, but one is non-convergence while the other is a DDP runtime error." + }, + { + "left": "issue:4634", + "right": "issue:4704", + "accept": false, + "reason": "Custom Diffusion save/serialization failure vs training-script failure are not the same concrete bug." + }, + { + "left": "issue:5219", + "right": "issue:6934", + "accept": false, + "reason": "Loading a converted SDXL model and breaking the conversion-to-original-SDXL path are related, but not the same defect." + }, + { + "left": "issue:5395", + "right": "issue:5628", + "accept": false, + "reason": "LoRA combination bug and LMS/Karras denoising offset are unrelated scheduler/model-merging issues." + }, + { + "left": "issue:5012", + "right": "issue:6297", + "accept": false, + "reason": "Different LoRA training concerns: text-encoder training in the script vs a user-specific DreamBooth LoRA training failure." + }, + { + "left": "issue:1261", + "right": "issue:3584", + "accept": false, + "reason": "xFormers backward CUDA assertion 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 failure modes." + }, + { + "left": "issue:1055", + "right": "issue:50", + "accept": false, + "reason": "These both mention LatentDiffusionPipeline, but one is a missing class on latest branch and the other is an older no-attribute import issue." + }, + { + "left": "issue:1261", + "right": "issue:4117", + "accept": false, + "reason": "xFormers attention-backward failure is unrelated to SDXL DreamBooth training." + }, + { + "left": "issue:3468", + "right": "issue:5259", + "accept": false, + "reason": "Dreambooth model_index.json generation and loading a missing model_index.json are opposite sides of different workflows, not one bug." + }, + { + "left": "issue:3984", + "right": "issue:785", + "accept": false, + "reason": "Class-label validation and PNDM scheduler overhead are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:5607", + "accept": false, + "reason": "MPS ControlNet tensor mismatch and generic tensor-size mismatch are too different to treat as one bug." + }, + { + "left": "issue:4303", + "right": "issue:8939", + "accept": false, + "reason": "Flax SDXL load crash and tokenizer-load error are different import/load paths." + }, + { + "left": "issue:4969", + "right": "issue:9167", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and likely different breaks." + }, + { + "left": "issue:5150", + "right": "issue:5458", + "accept": false, + "reason": "Missing from_single_file implementation and local_files_only handling in LoRA loading are unrelated API issues." + }, + { + "left": "issue:5515", + "right": "issue:6790", + "accept": false, + "reason": "LCM initialization without scheduler and LCM training state_dict mismatch are distinct 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": 120, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2673", + "issue:2728", + "issue:3174", + "issue:3325", + "issue:4104", + "issue:4250", + "issue:4255", + "issue:4551", + "issue:4639", + "issue:4724", + "issue:4788", + "issue:4892", + "issue:5016", + "issue:5558", + "issue:5760", + "issue:5840", + "issue:6492", + "issue:6517", + "issue:6598", + "issue:7146", + "issue:7223", + "issue:730", + "issue:7333", + "issue:8432", + "issue:8787", + "issue:8788", + "issue:8960", + "issue:9055", + "issue:9096", + "issue:9613", + "issue:9768", + "issue:9856" + ], + "soft_pairs": [ + "issue:7223|issue:7333", + "issue:1643|issue:730", + "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" + ], + "prepared_review_unit_hash": "c1866dbef89b0a1a59e0a91da564dd039ee6c19ec6268a3f3b75d6060ea82540", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34070, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: many unrelated Diffusers bugs/features across loading, training, video pipelines, and numerical/runtime errors. Only the black-image pair looks like a likely true duplicate; the rest are symptom-level or subsystem-level overlaps, not the same underlying issue.", + "confidence": 0.63, + "canonical_issue_reason": "Issue 4104 is the best anchor because it is the more specific report in the only plausible duplicate pair, and 6492 appears to describe the same black-image symptom more generally.", + "canonical_pr_reason": null, + "best_issue_reason": "4104 is the strongest representative issue for this cluster because it matches the only credible duplicate-like pair and has the more diagnostic error context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7223", + "right": "issue:7333", + "accept": false, + "reason": "Both are video-generation related, but they concern different proposed pipelines/features, not the same bug or change." + }, + { + "left": "issue:1643", + "right": "issue:730", + "accept": false, + "reason": "Both involve DreamBooth, but one is an xformers API/signature error and the other is a training-quality complaint." + }, + { + "left": "issue:8787", + "right": "issue:9613", + "accept": false, + "reason": "One is about slow model loading; the other is a Timesteps attribute error. Different failure modes and code paths." + }, + { + "left": "issue:9096", + "right": "issue:9768", + "accept": false, + "reason": "Both mention NaNs, but one is Flux half-precision inference and the other is an SDPA/CuDNN backend issue." + }, + { + "left": "issue:11136", + "right": "issue:8788", + "accept": false, + "reason": "Different topics: SCM intermediate timestep support versus SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:4104", + "right": "issue:6492", + "accept": true, + "reason": "Both describe black image output from generation; 4104 adds the specific invalid-cast symptom, so these look like the same underlying bug." + }, + { + "left": "issue:3325", + "right": "issue:4639", + "accept": false, + "reason": "Both are training-script failures, but they are different scripts with different errors and no clear shared code-path bug." + }, + { + "left": "issue:12012", + "right": "issue:9856", + "accept": false, + "reason": "One is a context-state retrieval error in Wan caching; the other is a distributed port-in-use error. Not the same issue." + }, + { + "left": "issue:10382", + "right": "issue:8960", + "accept": false, + "reason": "A VAE forward return-type mismatch is unrelated to gradient accumulation being nonfunctional." + }, + { + "left": "issue:10986", + "right": "issue:11709", + "accept": false, + "reason": "Different problems: MPS ComplexDouble tensors versus a CausVid LoRA key-loading failure." + }, + { + "left": "issue:1643", + "right": "issue:4551", + "accept": false, + "reason": "One is an xformers method-call mismatch; the other is an SDXL DreamBooth crash. Same broad area, different bug." + }, + { + "left": "issue:11062", + "right": "issue:11127", + "accept": false, + "reason": "A CivitAI LoRA loading error is not the same as a Flux single-file model compatibility issue." + }, + { + "left": "issue:2081", + "right": "issue:2673", + "accept": false, + "reason": "Weight conversion to JAX and upscale pipeline verification errors are unrelated." + }, + { + "left": "issue:10823", + "right": "issue:7146", + "accept": false, + "reason": "One is about missing inference files from a fine-tuning script; the other is an SDXL training OOM." + }, + { + "left": "issue:4255", + "right": "issue:6598", + "accept": false, + "reason": "Both compare outputs, but one is general quality degradation and the other is img2img parity with A1111; not the same concrete bug." + }, + { + "left": "issue:2161", + "right": "issue:3174", + "accept": false, + "reason": "Inpainting LoRA training and LoRA/dreambooth loading regressions are different issues." + }, + { + "left": "issue:10963", + "right": "issue:8432", + "accept": false, + "reason": "Both are ImportErrors, but they reference different symbols and modules." + }, + { + "left": "issue:11359", + "right": "issue:11569", + "accept": false, + "reason": "Both are about LTX-Video, but one is a speed feature request and the other asks for a specific diffusers repo release." + }, + { + "left": "issue:1434", + "right": "issue:4788", + "accept": false, + "reason": "Both are OOM reports, but they concern different pipelines, image sizes, and contexts." + }, + { + "left": "issue:4724", + "right": "issue:5558", + "accept": false, + "reason": "These are different ControlNet/SDXL behaviors: img2img mismatch versus multi-ControlNet inpaint artifacts." + }, + { + "left": "issue:6517", + "right": "issue:9055", + "accept": false, + "reason": "Both are import failures, but they involve different APIs and modules and do not share a concrete bug." + }, + { + "left": "issue:5016", + "right": "issue:5840", + "accept": false, + "reason": "Both are DreamBooth LoRA training issues, but one is about text-encoder training and the other about checkpoint resume/freezing." + }, + { + "left": "issue:2728", + "right": "issue:4250", + "accept": false, + "reason": "A safetensors loading failure is not the same as a generic from_pretrained load problem." + }, + { + "left": "issue:4892", + "right": "issue:5760", + "accept": false, + "reason": "Different video-generation research pipelines; no evidence of the same bug or change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst stays conservative and the only accepted duplicate-like pair, issue 4104 vs 6492, is grounded by the packet titles: both describe black image output, with 4104 adding the more diagnostic cast warning. The other soft-edge rejections are appropriately cautious given only title-level 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": 121, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10049", + "issue:10428", + "issue:10446", + "issue:10797", + "issue:1166", + "issue:1367", + "issue:1922", + "issue:2036", + "issue:2132", + "issue:2218", + "issue:222", + "issue:2375", + "issue:2560", + "issue:2844", + "issue:3363", + "issue:3450", + "issue:3453", + "issue:3871", + "issue:4030", + "issue:4241", + "issue:4389", + "issue:4566", + "issue:4911", + "issue:5510", + "issue:5558", + "issue:5605", + "issue:5931", + "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:9810", + "issue:9856", + "issue:9895", + "issue:9911", + "issue:993" + ], + "soft_pairs": [ + "issue:4389|issue:4911", + "issue:222|issue:3453", + "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" + ], + "prepared_review_unit_hash": "abeec80f3239d5ea3adea7604950891e91f9a81d70305f82b68eabf592e5fdce", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "The items are not a duplicate cluster: they span many unrelated pipelines, features, and failure modes. None of the suggested soft pairs looks like the same underlying bug/change closely enough to merge.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out because the set is heterogeneous and the soft pairs are mostly superficial similarity, not true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9895 is the strongest anchor only in the sense that it is a concrete, reproducible Flux regression with an explicit commit reference and a specific device-mismatch error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4389", + "right": "issue:4911", + "accept": false, + "reason": "Both are loading errors, but one is about ControlNetModel loading and the other about custom text_encoder loading from_single_file; different code paths and failure causes." + }, + { + "left": "issue:222", + "right": "issue:3453", + "accept": false, + "reason": "Both mention training/runtime errors, but 3453 is a specific BFloat16 CUDA limitation while 222 is a generic training failure with no evidence of the same bug." + }, + { + "left": "issue:7056", + "right": "issue:9415", + "accept": false, + "reason": "Both describe an error after adding a parameter, but they concern different models/components (SDXL LoRA vs CogVideoXTransformer3DModel) and likely different bugs." + }, + { + "left": "issue:2132", + "right": "issue:3363", + "accept": false, + "reason": "Same broad DreamBooth script family, but 2132 is a specific Accelerator.trackers AttributeError while 3363 is a different cross-machine failure with no shared root cause shown." + }, + { + "left": "issue:9515", + "right": "issue:9810", + "accept": false, + "reason": "These are unrelated: missing RMSNorm in an attention processor versus LoRA module_to_save support." + }, + { + "left": "issue:3450", + "right": "issue:5931", + "accept": false, + "reason": "A from_ckpt dev-version loading regression is not the same as nondeterministic generation output." + }, + { + "left": "issue:5605", + "right": "issue:6354", + "accept": false, + "reason": "Both are feature requests in training/customization, but one is per-image captions for SDXL DreamBooth and the other is LoRA support for ControlNet." + }, + { + "left": "issue:7000", + "right": "issue:9096", + "accept": false, + "reason": "A PyTorch deprecation warning is not the same underlying problem as Flux half-precision NaN outputs." + }, + { + "left": "issue:4030", + "right": "issue:8435", + "accept": false, + "reason": "Both are runtime errors, but they involve different pipelines and different failure contexts; no clear shared code-path bug." + }, + { + "left": "issue:10049", + "right": "issue:6636", + "accept": false, + "reason": "Import errors, but for different symbols/modules: MochiPipeline versus DIFFUSERS_SLOW_IMPORT." + }, + { + "left": "issue:10446", + "right": "issue:9450", + "accept": false, + "reason": "Both touch Flux multi-GPU behavior, but one is FluxControlNetPipeline model-sharding incompatibility and the other is a transformer-related device mismatch in FluxPipeline; not the same concrete bug." + }, + { + "left": "issue:9856", + "right": "issue:9911", + "accept": false, + "reason": "Distributed port collision and Flux multi-ControlNet layer-length error are unrelated." + }, + { + "left": "issue:1922", + "right": "issue:2375", + "accept": false, + "reason": "Both are NameErrors in examples, but they reference different missing names in different scripts and do not indicate the same underlying defect." + }, + { + "left": "issue:10797", + "right": "issue:9187", + "accept": false, + "reason": "Different pipelines and features: HunyuanVideo group offloading versus SDXL IP-Adapter behavior after Kolors update." + }, + { + "left": "issue:4566", + "right": "issue:7347", + "accept": false, + "reason": "Both are LoRA-training related, but one is checkpoint resume and the other is a post-update training failure; too broad to treat as the same bug." + }, + { + "left": "issue:4241", + "right": "issue:6354", + "accept": false, + "reason": "A feature request for unidiffusers LoRA support is not the same as ControlNet LoRA support." + }, + { + "left": "issue:2844", + "right": "issue:3871", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error and checkpoint-resume training error are unrelated." + }, + { + "left": "issue:2560", + "right": "issue:5558", + "accept": false, + "reason": "Both involve image generation quality/output, but one is list-of-generators nondeterminism and the other is multi-ControlNet artefacts; different issues." + }, + { + "left": "issue:10428", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference device errors, but one is on Ascend NPU and the other is a CUDA/CPU regression after a specific commit; not enough to merge as one bug." + }, + { + "left": "issue:1367", + "right": "issue:746", + "accept": false, + "reason": "Scheduler config saving and ONNX revision loading are unrelated pipeline/config issues." + }, + { + "left": "issue:1166", + "right": "issue:2218", + "accept": false, + "reason": "TPU hang while saving during textual inversion is not the same as overtraining during diffusers training." + }, + { + "left": "issue:2036", + "right": "issue:993", + "accept": false, + "reason": "A model-specific OSError with stable-diffusion-v1-4 is not the same as an fp16 data-type mismatch." + }, + { + "left": "issue:9063", + "right": "issue:9089", + "accept": false, + "reason": "Both are FluxPipeline-related, but one is a tokenizer slow/fast instantiation error and the other says FluxPipeline cannot be found; different problems." + }, + { + "left": "issue:5510", + "right": "issue:6570", + "accept": false, + "reason": "Both are SDXL InstructPix2Pix runtime errors, but the failing operations differ: dtype mismatch versus tensor shape 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": 122, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10010", + "issue:10016", + "issue:10472", + "issue:11046", + "issue:1125", + "issue:11627", + "issue:12080", + "issue:12108", + "issue:12458", + "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:5628", + "issue:5647", + "issue:5703", + "issue:5966", + "issue:617", + "issue:6218", + "issue:6323", + "issue:6520", + "issue:6749", + "issue:6758", + "issue:7049", + "issue:7237", + "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:9660", + "issue:967" + ], + "soft_pairs": [ + "issue:6323|issue:9660", + "issue:12108|issue:12458", + "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" + ], + "prepared_review_unit_hash": "e5fb7d5c4a207f55fe41bc4bcecafe62a3e800097c9a1e3add3ac93be7689771", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34734, + "estimated_input_tokens": 8684, + "estimated_eval_tokens": 17624 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a single duplicate cluster: it mixes many unrelated Diffusers issues across different pipelines, models, schedulers, and feature requests (FLUX, SD3/SDXL, Qwen Image, ControlNet, IP-Adapter, inpainting, conversion tools, CPU/MPS/ONNX, etc.). The soft edges are mostly title-similarity false positives rather than the same underlying bug.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6323", + "right": "issue:9660", + "accept": false, + "reason": "Both involve pipeline attributes/mode handling, but one is TensorRT img2img guidance_scale and the other is from_pretrained eval mode; different bugs and code paths." + }, + { + "left": "issue:12108", + "right": "issue:12458", + "accept": false, + "reason": "Both mention Qwen image, but one is a scheduler/flow-matching breakage and the other is batch inference feature/issue; not the same defect." + }, + { + "left": "issue:10010", + "right": "issue:7237", + "accept": false, + "reason": "FLUX model file not found vs EDMEulerScheduler missing symbol; completely different failure modes." + }, + { + "left": "issue:6520", + "right": "issue:6749", + "accept": false, + "reason": "Training validation blank results vs InstantID replication mismatch; different pipelines and symptoms." + }, + { + "left": "issue:10472", + "right": "issue:7606", + "accept": false, + "reason": "LoRA bias constructor error vs Kandinsky LoRA deprecation warning; not the same bug." + }, + { + "left": "issue:11627", + "right": "issue:8626", + "accept": false, + "reason": "Both mention IP-Adapter, but one is SD3.5-Large IP-Adapter support and the other is guidance for multiple IP-adapter images/masks; feature requests, not one concrete bug." + }, + { + "left": "issue:3728", + "right": "issue:7509", + "accept": false, + "reason": "New pipeline request vs ReNoise pipeline proposal; unrelated feature work." + }, + { + "left": "issue:7049", + "right": "issue:9202", + "accept": false, + "reason": "IP-Adapter shape/unpack error in a basic example vs FaceID Plus V2 not working with PAG pipeline; different pipelines and root causes." + }, + { + "left": "issue:2707", + "right": "issue:4790", + "accept": false, + "reason": "Syntax error in conversion script vs incompatibility between conversion scripts; both conversion-related but different concrete defects." + }, + { + "left": "issue:1125", + "right": "issue:13300", + "accept": false, + "reason": "Old inpaint runtime error vs CPU inference failures for SD3.5/FLUX; unrelated models and error paths." + }, + { + "left": "issue:3948", + "right": "issue:4014", + "accept": false, + "reason": "Pale generated images vs watermark pixel artifacts; both image quality complaints but not the same issue." + }, + { + "left": "issue:6218", + "right": "issue:6758", + "accept": false, + "reason": "Batched seeds in ControlNet/Img2Img vs InstantID num_images_per_prompt support; different parameters and pipelines." + }, + { + "left": "issue:2444", + "right": "issue:2707", + "accept": false, + "reason": "Dreambooth inpaint subprocess failure vs conversion script syntax error; unrelated failures." + }, + { + "left": "issue:5647", + "right": "issue:8551", + "accept": false, + "reason": "SDXL inpaint strength==1 bug vs VAE device_map balance latent placement bug; both inpaint-related but distinct code paths." + }, + { + "left": "issue:940", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related, but one is scheduler crash and the other is num_images_per_prompt noise in img2img; not the same bug." + }, + { + "left": "issue:10016", + "right": "issue:8228", + "accept": false, + "reason": "Both are load/from_single_file issues, but one is SD3.5M shape mismatch and the other is CLIPTextModel load failure; different model loading problems." + }, + { + "left": "issue:4808", + "right": "issue:6218", + "accept": false, + "reason": "SHAP-E img2img integration test failure vs batched seeds bug in ControlNet/Img2Img; unrelated." + }, + { + "left": "issue:7708", + "right": "issue:7936", + "accept": false, + "reason": "Missing tokenizer/config.json for SDXL vs invalid JSON when loading local safetensors; different file-format/load errors." + }, + { + "left": "issue:7793", + "right": "issue:9012", + "accept": false, + "reason": "DeepFloyd LoRA unload error vs SD3ControlNetModel.from_transformer weight-loading error; unrelated model subsystems." + }, + { + "left": "issue:1633", + "right": "issue:2905", + "accept": false, + "reason": "Optional Karras sigmas in one wrapper pipeline vs adding Karras sigmas to all schedulers; one is a feature request, the other a broad scheduler enhancement." + }, + { + "left": "issue:5628", + "right": "issue:5703", + "accept": false, + "reason": "LMS/Karras denoising offset bug vs ddim_inverse noise reconstruction failure; both scheduler-related but distinct algorithms and symptoms." + }, + { + "left": "issue:11046", + "right": "issue:7974", + "accept": false, + "reason": "Flux pipeline with controlnet/inpainting/IP-adapter combination vs inpaint with IP-Adapter (face+style); overlapping themes but different requested combinations." + }, + { + "left": "issue:617", + "right": "issue:967", + "accept": false, + "reason": "NNPACK hardware support warning vs ONNX scheduler compatibility TypeError; unrelated backend/runtime issues." + }, + { + "left": "issue:12080", + "right": "issue:13065", + "accept": false, + "reason": "Qwen Image editing inference vs Qwen-Image controlnet inpaint/canny; same model family but different features and problems." + }, + { + "left": "issue:4080", + "right": "issue:5966", + "accept": false, + "reason": "Request for SDXL inpainting pipeline vs ControlNet for Stable Diffusion 2.1; different model generations and 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": 123, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3296", + "issue:3377", + "issue:3565", + "issue:3613", + "issue:3761", + "issue:3885", + "issue:3937", + "issue:4400", + "issue:5044", + "issue:5143", + "issue:5606", + "issue:5607", + "issue:5873", + "issue:5923", + "issue:6069", + "issue:6157", + "issue:6418", + "issue:6545", + "issue:6548", + "issue:6594", + "issue:6891", + "issue:7237", + "issue:7418", + "issue:8668", + "issue:9178", + "issue:9210", + "issue:9264", + "issue:9476" + ], + "soft_pairs": [ + "issue:5143|issue:6418", + "issue:6594|issue:7418", + "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" + ], + "prepared_review_unit_hash": "57221b0fb2bdb2cefd637a94c220c118c776fa4a319ba95dedad04fffd0a79b6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34548, + "estimated_input_tokens": 8637, + "estimated_eval_tokens": 17530 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous; the soft-similarity pairs are mostly false positives rather than true duplicates. No PRs are present. I selected one concrete bug report as the most canonical issue, but overall this cluster does not form a single underlying defect/change.", + "confidence": 0.69, + "canonical_issue_reason": "issue:12157 is a concrete, reproducible bug report with a specific trigger and exact exception, making it the clearest representative issue among a mostly mixed set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12157 is the strongest standalone issue candidate: it has a precise failure mode, clear context, and enough detail to be actionable as a canonical reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5143", + "right": "issue:6418", + "accept": false, + "reason": "Different problems: tiny numeric differences in UNet output vs stable video diffusion repeating the first frame. Not the same underlying bug." + }, + { + "left": "issue:6594", + "right": "issue:7418", + "accept": false, + "reason": "One is a network/download ConnectionError, the other is a bug in a community pipeline file. Different failure paths." + }, + { + "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 with use_stream=True. Too different to merge." + }, + { + "left": "issue:1434", + "right": "issue:1934", + "accept": false, + "reason": "Both mention memory usage, but one is an upscale OOM and the other is cpu_offload VRAM consumption. Different code paths and symptoms." + }, + { + "left": "issue:12078", + "right": "issue:9476", + "accept": false, + "reason": "Flux Control example validation input issue vs DreamBooth Flux dtype mismatch during validation. Different concrete bugs." + }, + { + "left": "issue:12157", + "right": "issue:12175", + "accept": false, + "reason": "A training-time quantization/config iteration error is not the same as bad generated image quality. One is a crash, the other is output quality." + }, + { + "left": "issue:3937", + "right": "issue:6157", + "accept": false, + "reason": "ZeroscopeXL loading/behavior issue and ControlNet+IP-Adapter incompatibility are unrelated concrete bugs." + }, + { + "left": "issue:10066", + "right": "issue:5607", + "accept": false, + "reason": "Different runtime errors and likely different stack locations; same broad area is not enough to treat them as duplicates." + }, + { + "left": "issue:6069", + "right": "issue:8668", + "accept": false, + "reason": "Scheduler.add_noise failing at t=0 is unrelated to img2img image alignment-to-16 constraints." + }, + { + "left": "issue:6545", + "right": "issue:6891", + "accept": false, + "reason": "Both are tracker/meta issues, but they target different example-script refactors and not the same underlying change." + }, + { + "left": "issue:2361", + "right": "issue:3296", + "accept": false, + "reason": "Both concern checkpointing, but one crashes on saving checkpoints and the other breaks save/load with text_encoder in DreamBooth. Distinct scripts and bugs." + }, + { + "left": "issue:10492", + "right": "issue:11702", + "accept": false, + "reason": "TorchAO quantize/Lora fuse error and LoRA loading key error with diffusers are different issues in different flows." + }, + { + "left": "issue:2507", + "right": "issue:5606", + "accept": false, + "reason": "Loading performance on GPU vs a LoRA alpha-value bug are unrelated." + }, + { + "left": "issue:2618", + "right": "issue:6548", + "accept": false, + "reason": "Both involve image inputs, but one is ControlNet image input typing and the other is RGBA handling in prepare_latents. Not the same bug." + }, + { + "left": "issue:3377", + "right": "issue:4400", + "accept": false, + "reason": "A training optimization question is not the same as a text_encoder support request for a specific script." + }, + { + "left": "issue:3565", + "right": "issue:3613", + "accept": false, + "reason": "Both are OOM reports, but they hit different training scripts/configurations and do not describe the same defect." + }, + { + "left": "issue:5873", + "right": "issue:7237", + "accept": false, + "reason": "ONNX export support issue vs missing scheduler class; unrelated failures." + }, + { + "left": "issue:3761", + "right": "issue:5044", + "accept": false, + "reason": "Cannot load two community pipelines in one process is not the same as Kandinsky 2.2 failing to load." + }, + { + "left": "issue:2091", + "right": "issue:3885", + "accept": false, + "reason": "Checkpoint resume with multi-GPU training and general VRAM reduction for text-to-image are different training concerns, not one bug." + }, + { + "left": "issue:10202", + "right": "issue:9178", + "accept": false, + "reason": "Flux LoRA unload handling and Flux LoRA PEFT target-module errors are separate issues." + }, + { + "left": "issue:10542", + "right": "issue:12459", + "accept": false, + "reason": "Hunyuan batch-size breakage and FLUX Kontext throughput concerns are different models and different symptoms." + }, + { + "left": "issue:1310", + "right": "issue:2015", + "accept": false, + "reason": "K-Diffusion + Stable Diffusion pipeline and categorical diffusion pipeline are unrelated pipeline topics." + }, + { + "left": "issue:5923", + "right": "issue:9210", + "accept": false, + "reason": "Multi-GPU training hang vs dataset column validation error are not the same underlying bug." + }, + { + "left": "issue:11962", + "right": "issue:9264", + "accept": false, + "reason": "GGUF quantized model support for FLUX.1-Kontext-dev and a request for a flux inpainting model are different feature requests/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": 124, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2851", + "issue:3238", + "issue:3593", + "issue:3613", + "issue:3672", + "issue:3700", + "issue:3781", + "issue:3803", + "issue:3880", + "issue:4213", + "issue:457", + "issue:4782", + "issue:5334", + "issue:5474", + "issue:5877", + "issue:5932", + "issue:6008", + "issue:6230", + "issue:6277", + "issue:6695", + "issue:7180", + "issue:7228", + "issue:7592", + "issue:785", + "issue:861", + "issue:8738", + "issue:9138", + "issue:9270", + "issue:9690" + ], + "soft_pairs": [ + "issue:2851|issue:3803", + "issue:3613|issue:6230", + "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" + ], + "prepared_review_unit_hash": "71fad34ff3fb770da5584ade9fc3f58373a209425ca8c3cf99e3ac3447d6f180", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33833, + "estimated_input_tokens": 8459, + "estimated_eval_tokens": 17174 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: the items span unrelated bugs, feature requests, and pipeline-specific failures. None of the soft-similarity pairs look like the same underlying issue, so all soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No single issue cleanly represents the cluster because the topics are heterogeneous (LoRA loading, quantization, training, import bugs, pipeline feature requests, device/offload errors, etc.).", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong canonical representative; the cluster does not center on one bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2851", + "right": "issue:3803", + "accept": false, + "reason": "Both mention training and multi-device context, but one is about push_to_hub on TPU and the other about LoRA model sharing across GPUs; different failures." + }, + { + "left": "issue:3613", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM-related training issues, but one is DreamBooth OOM on torch 2.0 and the other is SDXL text-to-image training OOM; not the same bug." + }, + { + "left": "issue:10526", + "right": "issue:9690", + "accept": false, + "reason": "Flux FP8 quantization TypeError is a runtime dependency/API mismatch; example code cleanup is a maintenance request, not the same issue." + }, + { + "left": "issue:1478", + "right": "issue:2673", + "accept": false, + "reason": "Both involve upscale pipelines, but one is multi-image output handling and the other is config/image-shape validation for StableDiffusionUpscalePipeline." + }, + { + "left": "issue:1979", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is converting SD to diffusers generally and the other is a specific ckpt conversion failure; too broad to merge." + }, + { + "left": "issue:11651", + "right": "issue:9270", + "accept": false, + "reason": "Both mention LoRA/Flux, but one is loading flux-fill-lora with FluxControl and the other is incomplete LoRA support for Flux Dev from SimpleTuner; distinct integration problems." + }, + { + "left": "issue:3238", + "right": "issue:6008", + "accept": false, + "reason": "LoRA conversion to diffusers and IP-Adapter-plus-face with LCM LoRA are different code paths and different failure modes." + }, + { + "left": "issue:5877", + "right": "issue:6695", + "accept": false, + "reason": "Both surface subprocess errors, but they occur in different training workflows and have no shared concrete bug." + }, + { + "left": "issue:457", + "right": "issue:785", + "accept": false, + "reason": "One is MPS color artifacting; the other is scheduler performance cost. No same underlying defect." + }, + { + "left": "issue:3593", + "right": "issue:7180", + "accept": false, + "reason": "Both involve pipeline/runtime failures, but one is a LoRA+xformers second-call bug and the other is SDXL image2image controlnet cpu offload failure." + }, + { + "left": "issue:4213", + "right": "issue:7592", + "accept": false, + "reason": "From-single-file accelerator dependency issue and DoRA state_dict loading bug are unrelated." + }, + { + "left": "issue:10514", + "right": "issue:9138", + "accept": false, + "reason": "Sana 4k resolution-binning/sample_size limitation and a generic int-vs-str TypeError are different problems." + }, + { + "left": "issue:10472", + "right": "issue:11232", + "accept": false, + "reason": "LoRA inference lora_bias constructor error is unrelated to text-to-image fine-tuning noise residuals." + }, + { + "left": "issue:10760", + "right": "issue:7228", + "accept": false, + "reason": "Missing OnnxStableDiffusionInpaintPipelineLegacy attribute and traced-model dtype attribute error are separate import/model-loading issues." + }, + { + "left": "issue:10798", + "right": "issue:13015", + "accept": false, + "reason": "Flux quantization with bitsandbytes device-combination bug is unrelated to QwenImageEditPlus NPU tensor device mismatch." + }, + { + "left": "issue:11135", + "right": "issue:5474", + "accept": false, + "reason": "Both are pipeline proposals, but they are different architectures and changes; not duplicates." + }, + { + "left": "issue:11352", + "right": "issue:8738", + "accept": false, + "reason": "CPU warning for 8bit quantized model movement and SD3Transformer2DModel configuration failure are different quantization/model setup issues." + }, + { + "left": "issue:11569", + "right": "issue:13053", + "accept": false, + "reason": "A request for a repo for ltxv-13b-0.9.7-distilled and a request to support Unipic 3.0 Pipeline are separate feature requests." + }, + { + "left": "issue:1392", + "right": "issue:5474", + "accept": false, + "reason": "Stable Diffusion 2 release/tracking and a Stable Diffusion Reference Only pipeline proposal are not the same change." + }, + { + "left": "issue:1643", + "right": "issue:5932", + "accept": false, + "reason": "xformers enable_xformers_memory_efficient_attention argument mismatch and a 3-channel/4-channel input mismatch are unrelated runtime errors." + }, + { + "left": "issue:255", + "right": "issue:3672", + "accept": false, + "reason": "Image size divisibility error in StableDiffusionPipeline and concurrent thread failure are different failure classes." + }, + { + "left": "issue:3700", + "right": "issue:6277", + "accept": false, + "reason": "min_snr argument missing in train_text_to_image_lora.py and broken gradients in the same script are different training issues." + }, + { + "left": "issue:3781", + "right": "issue:5334", + "accept": false, + "reason": "Multiple LoRAs regression and accelerate.prepare/accumulate needing multiple models are related to training plumbing but not the same bug." + }, + { + "left": "issue:3880", + "right": "issue:4782", + "accept": false, + "reason": "Both concern inpainting artifacts, but one is degraded unmasked areas and the other is mask==0 regions being modified; close but not clearly 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": 125, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2786", + "issue:3280", + "issue:3442", + "issue:3454", + "issue:3694", + "issue:4073", + "issue:4109", + "issue:4183", + "issue:4354", + "issue:4386", + "issue:4450", + "issue:4554", + "issue:4754", + "issue:487", + "issue:4874", + "issue:5436", + "issue:6388", + "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:9913" + ], + "soft_pairs": [ + "issue:4109|issue:4354", + "issue:4386|issue:6388", + "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" + ], + "prepared_review_unit_hash": "dbf7fef65ecaa59c9537238d1564639c9fe9ef62c6af0b8d9dff5f0c50760498", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33938, + "estimated_input_tokens": 8485, + "estimated_eval_tokens": 17226 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a noisy set of offloading/loading/training-related issues across different models and pipelines, but the soft edges do not describe the same concrete bug or change. I would not merge any of the candidate pairs.", + "confidence": 0.74, + "canonical_issue_reason": "issue:10914 is the broadest umbrella candidate: it centers on unintended CPU offloading, which is the closest shared theme across several nearby issues in this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11872 is the clearest and most concrete report in the cluster, focused on repeated CPU/GPU transfers during offloading loops rather than a vague symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4109", + "right": "issue:4354", + "accept": false, + "reason": "Both are SDXL-related, but one is a pipeline failure and the other is a wrong return type from single-file loading; different bugs." + }, + { + "left": "issue:4386", + "right": "issue:6388", + "accept": false, + "reason": "One is about LoRA conversion, the other about gradient checkpointing in SDXL LoRA training; unrelated failure modes." + }, + { + "left": "issue:4554", + "right": "issue:8543", + "accept": false, + "reason": "Kandinsky OOM and SD3 dreambooth gradient-checkpointing failure are different pipelines and different root causes." + }, + { + "left": "issue:5436", + "right": "issue:9674", + "accept": false, + "reason": "Both are training-related, but the reported problems differ: a controlnet XL training error vs bad SD3 controlnet results." + }, + { + "left": "issue:6801", + "right": "issue:9200", + "accept": false, + "reason": "Scheduler loading and SDXL ControlNet dtype errors are separate code paths and symptoms." + }, + { + "left": "issue:8588", + "right": "issue:8673", + "accept": false, + "reason": "Missing conversion script versus missing attention masks are not the same bug." + }, + { + "left": "issue:3454", + "right": "issue:487", + "accept": false, + "reason": "Dreambooth LoRA training failure and M1 CPU pipeline support are unrelated." + }, + { + "left": "issue:9484", + "right": "issue:9546", + "accept": false, + "reason": "Multi-GPU/deepspeed training and validation-step OOM in Flux ControlNet are different issues." + }, + { + "left": "issue:10797", + "right": "issue:11370", + "accept": false, + "reason": "Group offloading in HunyuanVideoPipeline and a broken conversion script are unrelated." + }, + { + "left": "issue:3280", + "right": "issue:4073", + "accept": false, + "reason": "DeepFloyd scheduler incompatibility and a DeepFloyd safety-checker dtype error are different bugs." + }, + { + "left": "issue:3442", + "right": "issue:4450", + "accept": false, + "reason": "Both mention textual inversion, but one is an embedding shape issue and the other is multi-text inversion not working; not the same concrete defect." + }, + { + "left": "issue:10302", + "right": "issue:11872", + "accept": false, + "reason": "FP8 inference noise without CPU offloading and repeated offload ping-pong between CPU/GPU are different performance/accuracy problems." + }, + { + "left": "issue:4183", + "right": "issue:4874", + "accept": false, + "reason": "ControlNet guidance-scale failure and upscale scheduler bug are separate pipeline behaviors." + }, + { + "left": "issue:8463", + "right": "issue:8958", + "accept": false, + "reason": "Tokenization NoneType error in InstructP2P-SDXL and a PyTorch 2.4 register_fake import/runtime issue are unrelated." + }, + { + "left": "issue:10337", + "right": "issue:9343", + "accept": false, + "reason": "Quantized-transformer FLUX IPAdapter failure and FLUX loading with mismatched sizes are different loading bugs." + }, + { + "left": "issue:8744", + "right": "issue:9209", + "accept": false, + "reason": "Single-file training workflow and HF mirror connection failure are unrelated." + }, + { + "left": "issue:11298", + "right": "issue:9637", + "accept": false, + "reason": "LoRA hotswap PEFT key error and XFormers attention-mask/bfloat16 issue are different subsystems and symptoms." + }, + { + "left": "issue:6636", + "right": "issue:9167", + "accept": false, + "reason": "Importing DIFFUSERS_SLOW_IMPORT and importing StableDiffusion3Pipeline are separate import failures." + }, + { + "left": "issue:12329", + "right": "issue:12529", + "accept": false, + "reason": "Wrong transformer class selection and tiled VAE tensor mismatch are different Wan2.2 issues." + }, + { + "left": "issue:10914", + "right": "issue:11352", + "accept": false, + "reason": "Both concern CPU/offload behavior, but one is unintended offloading and the other is a missing warning for explicit 8-bit CPU moves; not the same bug." + }, + { + "left": "issue:6441", + "right": "issue:9913", + "accept": false, + "reason": "Colab from_pretrained failure and set_lora_device not working are unrelated API problems." + }, + { + "left": "issue:3694", + "right": "issue:4754", + "accept": false, + "reason": "Both involve model_index.json/config.json, but one is a training-example setup failure and the other is loading a fine-tuned textual inversion artifact; too different to treat as one bug." + }, + { + "left": "issue:1100", + "right": "issue:898", + "accept": false, + "reason": "CLIPTextTransformer.device exception and TPU bfloat16 support are unrelated." + }, + { + "left": "issue:1367", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler config serialization and numpy input compatibility in Depth2Img 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": 126, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2518", + "issue:3382", + "issue:3487", + "issue:3717", + "issue:4014", + "issue:4185", + "issue:4213", + "issue:4229", + "issue:4279", + "issue:4398", + "issue:4530", + "issue:4848", + "issue:5205", + "issue:5227", + "issue:5379", + "issue:5380", + "issue:5429", + "issue:5474", + "issue:5923", + "issue:5934", + "issue:6372", + "issue:684", + "issue:817", + "issue:8228", + "issue:8503", + "issue:8786", + "issue:9101", + "issue:9443", + "issue:9763", + "issue:9927" + ], + "soft_pairs": [ + "issue:2518|issue:5429", + "issue:9763|issue:9927", + "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" + ], + "prepared_review_unit_hash": "e6b17b4ffdf462e13294b8a7f928856dbdf92a14180d81e7024f46455733119c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33918, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: most pairs are only loosely similar by subsystem or keywords, not the same underlying bug/change. I reject all soft duplicate edges; the closest pair is the Wan GGUF loading reports, but they still differ by model/class and failure mode.", + "confidence": 0.94, + "canonical_issue_reason": "No true canonical duplicate stands out because the cluster spans many unrelated bugs and feature requests. If a representative issue is needed, issue:12009 is the most concrete runtime failure report and is closest to another Wan GGUF loading report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue:12009 is the strongest single anchor: it has a precise, reproducible loading failure and a clear code path, making it more representative than the broader feature requests or vague training complaints.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2518", + "right": "issue:5429", + "accept": false, + "reason": "Both are example-related feature requests, but one is xformers support and the other is VAE handling; different changes." + }, + { + "left": "issue:9763", + "right": "issue:9927", + "accept": false, + "reason": "Both involve ControlNet/SD3 training and long text, but the concrete failures differ: token truncation vs HeaderTooLarge." + }, + { + "left": "issue:10514", + "right": "issue:10520", + "accept": false, + "reason": "Different Sana 4K failures: resolution binning/sample size vs cross-device tensor placement." + }, + { + "left": "issue:2331", + "right": "issue:5474", + "accept": false, + "reason": "Different pipeline requests: adding ControlNet vs a new Reference-Only pipeline." + }, + { + "left": "issue:1821", + "right": "issue:3487", + "accept": false, + "reason": "Both touch inpaint quality, but one is negative_prompt behavior and the other is scheduler/strength result quality." + }, + { + "left": "issue:12536", + "right": "issue:12661", + "accept": false, + "reason": "Both mention context parallelism, but one is a sharding-size assertion in Wan inference and the other is a ChronoEdit crash." + }, + { + "left": "issue:1541", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth is shared, but the bugs are unrelated: CKPT/model-type detection vs mixed precision." + }, + { + "left": "issue:4848", + "right": "issue:8786", + "accept": false, + "reason": "Different models and failures: SDXL long-prompt loading vs SD3 token-length handling." + }, + { + "left": "issue:1261", + "right": "issue:684", + "accept": false, + "reason": "Both are performance/backward-compatibility issues, but one is xformers backward correctness and the other is AMD memory optimizations." + }, + { + "left": "issue:5379", + "right": "issue:5380", + "accept": false, + "reason": "Both are community pipeline proposals, but they describe different pipelines entirely." + }, + { + "left": "issue:12009", + "right": "issue:12085", + "accept": false, + "reason": "Closest pair, but still not the same bug: different Wan classes/models and different GGUF load failures." + }, + { + "left": "issue:4014", + "right": "issue:4398", + "accept": false, + "reason": "Both mention image artifacts, but one is watermark artifacts and the other is a different SDXL LoRA-dreambooth black-image issue." + }, + { + "left": "issue:5474", + "right": "issue:6372", + "accept": false, + "reason": "Different pipeline requests: Reference Only vs SVD + ControlNet." + }, + { + "left": "issue:11178", + "right": "issue:8228", + "accept": false, + "reason": "Both are single-file/model loading problems, but one is MistoLine ControlNet loading and the other is CLIPTextModel loading in from_single_file." + }, + { + "left": "issue:1271", + "right": "issue:1919", + "accept": false, + "reason": "Different Dreambooth environment/setup problems: notebook dependencies vs missing datasets in requirements." + }, + { + "left": "issue:2107", + "right": "issue:4185", + "accept": false, + "reason": "Different symptom and scope: low-resolution black/glitchy images vs SDXL ControlNet black images." + }, + { + "left": "issue:3717", + "right": "issue:5923", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is OOM and the other is stuck execution." + }, + { + "left": "issue:1865", + "right": "issue:3382", + "accept": false, + "reason": "Different distributed-training failures: ZeRO stage3 dimension error vs multi-GPU CUDA OOM." + }, + { + "left": "issue:4229", + "right": "issue:5923", + "accept": false, + "reason": "Both involve multi-GPU training, but one is an accelerated Dreambooth error and the other is a text-to-image fine-tuning hang." + }, + { + "left": "issue:5227", + "right": "issue:5934", + "accept": false, + "reason": "Both mention torch.compile, but one is specifically load_lora_weight compatibility and the other is a broader compile error." + }, + { + "left": "issue:11819", + "right": "issue:9101", + "accept": false, + "reason": "Different requests: a FLUX Kontext image-editing LoRA training script vs an InstructPix2Pix SD3 training script." + }, + { + "left": "issue:1305", + "right": "issue:5205", + "accept": false, + "reason": "Different tasks and pipelines: Direct Inversion vs Repaint + ControlNet." + }, + { + "left": "issue:8503", + "right": "issue:9443", + "accept": false, + "reason": "Both are SD3 issues, but one is gradient checkpointing crashes and the other is tokenizer instantiation from slow version." + }, + { + "left": "issue:4014", + "right": "issue:4530", + "accept": false, + "reason": "Both are artifact complaints in SDXL, but the reported causes and affected components differ." + }, + { + "left": "issue:4213", + "right": "issue:4279", + "accept": false, + "reason": "Both are model-loading issues, but one is SDXL from_single_file/accelerate and the other is CivitAI LoRA loading." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10147", + "issue:10798", + "issue:11215", + "issue:1166", + "issue:11853", + "issue:12022", + "issue:12037", + "issue:1214", + "issue:1434", + "issue:1500", + "issue:1672", + "issue:1807", + "issue:2331", + "issue:2440", + "issue:2695", + "issue:3221", + "issue:3405", + "issue:3564", + "issue:3661", + "issue:3748", + "issue:4031", + "issue:4073", + "issue:4117", + "issue:4206", + "issue:4305", + "issue:4471", + "issue:4686", + "issue:4880", + "issue:4885", + "issue:4985", + "issue:5016", + "issue:5037", + "issue:5399", + "issue:5488", + "issue:5565", + "issue:5607", + "issue:5737", + "issue:5757", + "issue:5966", + "issue:6008", + "issue:6130", + "issue:6146", + "issue:7168", + "issue:7199", + "issue:7357", + "issue:761", + "issue:8482", + "issue:8729" + ], + "soft_pairs": [ + "issue:5037|issue:8729", + "issue:3748|issue:6130", + "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" + ], + "prepared_review_unit_hash": "af6b60cb47cf46905b59e984914eadaaafe6bdf9a587ab00e6394bf7b8b1ad68", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34071, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items cover unrelated feature requests and bugs across controlnet, LoRA, SDXL, quantization, attention kernels, training scripts, and model conversion. None of the soft-similarity pairs look like the same underlying issue, so all should be kept separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5037", + "right": "issue:8729", + "accept": false, + "reason": "One is a validation-image argument bug in training scripts; the other is an SDXL controlnet training issue. Different code paths and symptoms." + }, + { + "left": "issue:3748", + "right": "issue:6130", + "accept": false, + "reason": "LoRA dtype mismatch when loading safetensors vs a generic LoRA load failure. Related area, but not the same concrete bug." + }, + { + "left": "issue:10147", + "right": "issue:7199", + "accept": false, + "reason": "MV-Adapter multi-view generation support request vs ViewFusion multi-view consistency research/topic. No shared bug or change." + }, + { + "left": "issue:2331", + "right": "issue:3564", + "accept": false, + "reason": "ControlNet pipeline addition vs Uni-ControlNet support request. Same broad subsystem, but different features and likely different implementation work." + }, + { + "left": "issue:1214", + "right": "issue:3661", + "accept": false, + "reason": "Half-precision CLIPTextModel bug vs from_ckpt conversion for SD2.x weights. Different components and failure modes." + }, + { + "left": "issue:4031", + "right": "issue:4073", + "accept": false, + "reason": "Standalone safety checker local-file loading vs DeepFloyd IF safety checker astype error. Different bugs in different loaders." + }, + { + "left": "issue:10798", + "right": "issue:11215", + "accept": false, + "reason": "Bitsandbytes device-combination bug vs FLUX quantization slowness/LoRA support concerns. Same model family, but not the same concrete defect." + }, + { + "left": "issue:1166", + "right": "issue:761", + "accept": false, + "reason": "TPU save hang in textual inversion vs DreamBooth 8-bit Adam failure. Different training modes and failure points." + }, + { + "left": "issue:1434", + "right": "issue:4686", + "accept": false, + "reason": "Upscale pipeline OOM during inference vs inability to reload a saved upscale pipeline. Both upscale-related, but distinct issues." + }, + { + "left": "issue:4471", + "right": "issue:4885", + "accept": false, + "reason": "SDXL img2img LoRA loading vs SDXL ControlNet img2img LoRA loading. Similar area, but different pipelines and likely separate fixes." + }, + { + "left": "issue:5016", + "right": "issue:5737", + "accept": false, + "reason": "SDXL DreamBooth LoRA text encoder training vs SDXL conversion script failure. Different scripts and bugs." + }, + { + "left": "issue:5607", + "right": "issue:7168", + "accept": false, + "reason": "Tensor size mismatch in one pipeline vs IP-Adapter image embed tensor-shape confusion. Not the same error or path." + }, + { + "left": "issue:2440", + "right": "issue:5399", + "accept": false, + "reason": "Inpainting model load error in float16 vs custom inpainting dtype mismatch at inference. Related to dtype, but different bugs." + }, + { + "left": "issue:11853", + "right": "issue:6008", + "accept": false, + "reason": "ControlNet+IP-Adapter load conflict on SDXL vs IP-Adapter Plus Face with LCM LoRA regression. Different combinations and symptoms." + }, + { + "left": "issue:4305", + "right": "issue:7357", + "accept": false, + "reason": "torch.compile graph break due to a library version vs slow inference with torch.compile and fuse_loras. Performance issues, but not the same defect." + }, + { + "left": "issue:2695", + "right": "issue:3405", + "accept": false, + "reason": "ControlNet training validation failure vs a generic controlnet training bug. Too vague to conclude same underlying issue." + }, + { + "left": "issue:12022", + "right": "issue:12037", + "accept": false, + "reason": "flash_attention_3 interface incompatibility vs Wan 2.2 LoRA compatibility problem. Different subsystems and failure modes." + }, + { + "left": "issue:5966", + "right": "issue:8482", + "accept": false, + "reason": "ControlNet for SD 2.1 support request vs Stable Diffusion 3 medium support request. Same general feature class, but different models and work." + }, + { + "left": "issue:4880", + "right": "issue:5488", + "accept": false, + "reason": "ControlNet single-image type error vs a generic demo code failure. The titles do not indicate the same bug." + }, + { + "left": "issue:5757", + "right": "issue:6146", + "accept": false, + "reason": "DreamBooth LoRA checkpoint resume error vs multi-GPU training question. One is a resume bug, the other is a distributed-training setup issue." + }, + { + "left": "issue:4206", + "right": "issue:4985", + "accept": false, + "reason": "Main-branch broken for SDXL controlnet training vs SDXL instruct-pix2pix OOM. Different training pipelines and problems." + }, + { + "left": "issue:1500", + "right": "issue:3221", + "accept": false, + "reason": "Community pipeline incompatibility with a diffusers release vs load_attn_procs not working in v0.16.0. Both version-related, but not the same concrete incompatibility." + }, + { + "left": "issue:1672", + "right": "issue:1807", + "accept": false, + "reason": "Wrong output size after ckpt conversion vs inference getting slower over time. Different symptoms and root causes." + }, + { + "left": "issue:4117", + "right": "issue:5565", + "accept": false, + "reason": "StableDiffusionXL DreamBooth support issue vs inability to run an SDXL LoRA DreamBooth example script. Related domain, 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": 128, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10573", + "issue:10795", + "issue:11010", + "issue:11045", + "issue:1185", + "issue:1188", + "issue:12009", + "issue:12113", + "issue:12329", + "issue:12575", + "issue:13043", + "issue:1604", + "issue:1876", + "issue:1979", + "issue:2324", + "issue:2442", + "issue:2507", + "issue:3348", + "issue:3551", + "issue:3826", + "issue:3878", + "issue:3891", + "issue:4057", + "issue:4183", + "issue:4217", + "issue:4646", + "issue:4936", + "issue:5075", + "issue:5395", + "issue:5474", + "issue:5875", + "issue:5953", + "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:1188|issue:3891", + "issue:2442|issue:4057", + "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" + ], + "prepared_review_unit_hash": "bd97dd0adc85c1aac7747bdbb6011813fd63aaa42a77b40c330e886db5e0cb58", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34710, + "estimated_input_tokens": 8678, + "estimated_eval_tokens": 17612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are topic-neighbors rather than true duplicates. I would accept only the safetensors-loading pair and the SD-to-diffusers conversion pair; the rest differ in concrete failure mode, model family, or whether they are feature requests vs bugs.", + "confidence": 0.58, + "canonical_issue_reason": "issue:1979 is the broadest, cleanest representative of the clear conversion duplicate pair; its title captures the core problem without narrowing to a single edge case.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1979 is the best canonical anchor among the accepted duplicates because it is generic, actionable, and likely to subsume the more specific checkpoint-conversion report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1188", + "right": "issue:3891", + "accept": false, + "reason": "Both are pipeline requests, but they ask for different pipelines and modalities; not the same change." + }, + { + "left": "issue:2442", + "right": "issue:4057", + "accept": false, + "reason": "Both mention inpainting, but one is about loss behavior during finetuning and the other is about blurred output; different bugs." + }, + { + "left": "issue:3348", + "right": "issue:3551", + "accept": false, + "reason": "Same subsystem, but one is a LoRA/xFormers scale feature request and the other is xFormers being disabled; not the same bug." + }, + { + "left": "issue:8834", + "right": "issue:9101", + "accept": false, + "reason": "Both are SD3 training-related, but one asks for ControlNet training code and the other for an InstructPix2Pix training script." + }, + { + "left": "issue:9630", + "right": "issue:9861", + "accept": false, + "reason": "Both are Flux training issues, but the failure modes differ: multi-GPU/single-GPU num_single_layers handling vs transformer not updating." + }, + { + "left": "issue:1185", + "right": "issue:2324", + "accept": false, + "reason": "Both are Dreambooth-related, but reproducibility and instance-data loading are different underlying problems." + }, + { + "left": "issue:5075", + "right": "issue:6879", + "accept": false, + "reason": "Different concrete errors and code paths: SDXL refiner prompt embedding shape mismatch vs Custom Diffusion dtype mismatch." + }, + { + "left": "issue:10573", + "right": "issue:9643", + "accept": false, + "reason": "Both mention multiple ControlNets, but they are for different model families and do not look like the same underlying defect." + }, + { + "left": "issue:3878", + "right": "issue:5875", + "accept": false, + "reason": "These are unrelated: a pix2pix training error versus an ONNX conversion prompt error." + }, + { + "left": "issue:5395", + "right": "issue:6232", + "accept": false, + "reason": "LoRA merging/PEFT and DPMSolver scheduler behavior are unrelated bugs." + }, + { + "left": "issue:6382", + "right": "issue:7306", + "accept": false, + "reason": "Different issues in different paths: IP-Adapter key error during training versus float16 support in a pipeline." + }, + { + "left": "issue:7021", + "right": "issue:7681", + "accept": false, + "reason": "Both are import failures, but they stem from different environment/library problems." + }, + { + "left": "issue:4646", + "right": "issue:6517", + "accept": false, + "reason": "Both touch ControlNet import/export, but one is ONNX conversion and the other is an import-time failure for SDXL img2img." + }, + { + "left": "issue:4183", + "right": "issue:5953", + "accept": false, + "reason": "Both are ControlNet pipeline bugs, but one is about guidance_scale <= 1 and the other about image/control_image size mismatch." + }, + { + "left": "issue:10795", + "right": "issue:12009", + "accept": false, + "reason": "Both involve GGUF/from_single_file loading, but the models and failure modes differ: torch.compile incompatibility vs Wan2.2 loading failure." + }, + { + "left": "issue:11010", + "right": "issue:11045", + "accept": false, + "reason": "Same broad Flux area, but one is a support request for a new model architecture and the other is a loading crash in training." + }, + { + "left": "issue:2507", + "right": "issue:4217", + "accept": true, + "reason": "These look like the same safetensors loading performance issue; both are about slow safetensors load times." + }, + { + "left": "issue:12113", + "right": "issue:12329", + "accept": false, + "reason": "Related Wan pipeline/model-version area, but one is a channel mismatch runtime error and the other is a wrong-version loader bug; not enough evidence they are the same defect." + }, + { + "left": "issue:3826", + "right": "issue:5474", + "accept": false, + "reason": "Both are new-pipeline requests, but they propose different pipelines with different use cases." + }, + { + "left": "issue:12575", + "right": "issue:13043", + "accept": false, + "reason": "Both mention attention backends, but one is backend-check validation and the other is a CUDA kernel availability issue on Blackwell." + }, + { + "left": "issue:7056", + "right": "issue:7133", + "accept": false, + "reason": "Both are SDXL text-encoder training issues, but one is a parameter error and the other is a resume-from-checkpoint size mismatch." + }, + { + "left": "issue:6758", + "right": "issue:6964", + "accept": false, + "reason": "Different pipeline limitations: num_images_per_prompt support in InstantID versus 4-channel UNet incompatibility in ControlNet inpaint." + }, + { + "left": "issue:1604", + "right": "issue:4936", + "accept": false, + "reason": "Both are version regressions, but they affect different scripts and failure modes." + }, + { + "left": "issue:1876", + "right": "issue:1979", + "accept": true, + "reason": "These are the same conversion problem at different specificity levels; 1876 is a subset of the broader SD-to-diffusers failure in 1979." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet and stays conservative. The accepted pairings are narrowly supported by the titles/body context, and the rejected pairs are mostly distinguished by different bug modes, model families, or feature-request vs bug framing. The canonical choice of issue:1979 over issue:1876 is also reasonable and sufficiently cautious." + }, + "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": 129, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:5689", + "issue:5934", + "issue:6028", + "issue:6096", + "issue:6131", + "issue:6481", + "issue:6545", + "issue:6552", + "issue:6741", + "issue:6870", + "issue:7197", + "issue:7735", + "issue:7945", + "issue:7974", + "issue:8182", + "issue:858", + "issue:8732", + "issue:8885", + "issue:8955", + "issue:9045", + "issue:9343", + "issue:9476", + "issue:9927", + "issue:9971" + ], + "soft_pairs": [ + "issue:5934|issue:6096", + "issue:4185|issue:5689", + "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" + ], + "prepared_review_unit_hash": "c9ed92e063ce242e240df8db31b72cb5f8c2aa4a8236a24e5b2b86cd259131df", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33389, + "estimated_input_tokens": 8348, + "estimated_eval_tokens": 16952 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft pairs mostly share only broad keywords (loading, training, ControlNet, LoRA, OOM, etc.) but not the same concrete failure mode or code path, so none should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the items span many unrelated bugs and features across different models, pipelines, and failure types.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: there is no coherent underlying bug/change tying the cluster together closely enough to make one issue a reliable representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5934", + "right": "issue:6096", + "accept": false, + "reason": "Both mention torch.compile, but one is a generic compile error and the other is a specific SVD DynamicOutputShapeException; different code paths and fixes." + }, + { + "left": "issue:4185", + "right": "issue:5689", + "accept": false, + "reason": "Both are SDXL inference problems, but one is black images with ControlNet and the other is residual noise with DPM++; not the same bug." + }, + { + "left": "issue:11314", + "right": "issue:11321", + "accept": false, + "reason": "One is a training-script logic mistake, the other is a README/documentation bug; not the same underlying change." + }, + { + "left": "issue:2015", + "right": "issue:5442", + "accept": false, + "reason": "Completely different pipeline/features: categorical diffusion vs ScaleCrafter higher-resolution generation." + }, + { + "left": "issue:3174", + "right": "issue:3585", + "accept": false, + "reason": "Both involve LoRA loading, but one is a regression in new LoRA features and the other is a failure using a synthesized LoRA model; too different to be the same bug." + }, + { + "left": "issue:4697", + "right": "issue:8885", + "accept": false, + "reason": "Different subsystems and symptoms: loading a LoRA after an update versus installation plus modifier-token loading in a custom diffusion example." + }, + { + "left": "issue:10891", + "right": "issue:9476", + "accept": false, + "reason": "Both mention dtype issues, but one is DCAE internal type conversions and the other is Flux validation input/bias dtype mismatch; not the same code path." + }, + { + "left": "issue:8182", + "right": "issue:858", + "accept": false, + "reason": "A logger method typo and a Parameter.named_children AttributeError are unrelated bugs." + }, + { + "left": "issue:5596", + "right": "issue:8732", + "accept": false, + "reason": "Pokemon captioning dataset conversion error versus checkpoint saving in SD1.5 training; no common failure." + }, + { + "left": "issue:10514", + "right": "issue:11208", + "accept": false, + "reason": "Different features and models: Sana resolution binning/sample_size mismatch versus 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 inpaint with IP Adapter; too broad and likely different fixes." + }, + { + "left": "issue:10282", + "right": "issue:9045", + "accept": false, + "reason": "Both are loading/device-related, but one is a tensor shape mismatch and the other is a meta-tensor to CUDA conversion failure; not the same bug." + }, + { + "left": "issue:1865", + "right": "issue:2412", + "accept": false, + "reason": "Different training failures: a ZeRO stage3 dimension error versus a generic Dreambooth error." + }, + { + "left": "issue:6545", + "right": "issue:6552", + "accept": false, + "reason": "One is about modularizing inference in example scripts; the other is FP16 resume training. They are separate tracker tasks." + }, + { + "left": "issue:7197", + "right": "issue:9927", + "accept": false, + "reason": "Resume-training KeyError on SD1.5 versus HeaderTooLarge in SD3 ControlNet training; unrelated bugs." + }, + { + "left": "issue:7735", + "right": "issue:9971", + "accept": false, + "reason": "Caption column validation error versus DEIS scheduler not working on FLUX; different areas entirely." + }, + { + "left": "issue:11006", + "right": "issue:11133", + "accept": false, + "reason": "Both are video pipelines, but different models and symptoms: Wan 2.1 quantized transformer output corruption versus CogVideoX pipeline bug." + }, + { + "left": "issue:3613", + "right": "issue:4368", + "accept": false, + "reason": "Both are OOM reports, but for different training setups and models; not the same underlying issue." + }, + { + "left": "issue:6481", + "right": "issue:6741", + "accept": false, + "reason": "Dreambooth batch-size bug and Diffusion DPO missing no_flip argument are unrelated script issues." + }, + { + "left": "issue:6870", + "right": "issue:7945", + "accept": false, + "reason": "Missing enable_vae_tiling in img2img/inpaint versus a community pipeline combination request; not a duplicate bug." + }, + { + "left": "issue:8955", + "right": "issue:9343", + "accept": false, + "reason": "Both are model-loading problems, but one is CLIPTextModelWithProjection state_dict loading and the other is Flux low_cpu_mem_usage/ignore_mismatched_sizes behavior; not the same defect." + }, + { + "left": "issue:12003", + "right": "issue:12334", + "accept": false, + "reason": "Meta-tensor copy failure versus xformers attention issue; these are different runtime problems." + }, + { + "left": "issue:4185", + "right": "issue:5621", + "accept": false, + "reason": "Both involve ControlNet/SDXL, but black images in inference and unsupported encoder_hid_proj are distinct issues." + }, + { + "left": "issue:4788", + "right": "issue:6028", + "accept": false, + "reason": "Both are out-of-memory errors, but for different models and pipelines; too broad to merge." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10928", + "issue:1127", + "issue:1434", + "issue:1445", + "issue:1538", + "issue:2052", + "issue:2163", + "issue:2783", + "issue:2838", + "issue:307", + "issue:3233", + "issue:3428", + "issue:3453", + "issue:3612", + "issue:4037", + "issue:4109", + "issue:4185", + "issue:4353", + "issue:4356", + "issue:4453", + "issue:4826", + "issue:5224", + "issue:5540", + "issue:5607", + "issue:5630", + "issue:5757", + "issue:6252", + "issue:6333", + "issue:6382", + "issue:7306", + "issue:7418", + "issue:7441", + "issue:7480", + "issue:7991", + "issue:8414", + "issue:8540", + "issue:8729", + "issue:9047", + "issue:9051", + "issue:9063", + "issue:9101", + "issue:9178", + "issue:9911", + "issue:9913", + "issue:9996" + ], + "soft_pairs": [ + "issue:7418|issue:7991", + "issue:7441|issue:9913", + "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" + ], + "prepared_review_unit_hash": "0e9cc1604d47c1196adfd8cc06e286ce2e9157925a91e8e3e027aacd39521635", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33729, + "estimated_input_tokens": 8433, + "estimated_eval_tokens": 17122 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicates here: the soft-similarity pairs mostly share broad Diffusers/SDXL/Flux/controlnet wording but describe different bugs, features, or scripts. I rejected all soft edges.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #307 is the broadest umbrella request in the set, but it is too generic to treat as a true duplicate target; it is only the closest thing to a central issue among otherwise unrelated items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #307 is the most canonical-style issue because it is broad and subsystem-level, but it does not actually match the other reports closely enough to absorb them as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7418", + "right": "issue:7991", + "accept": false, + "reason": "Different problems: one is a specific bug in a community upscale-LDM3D example, the other is a general bug in the basic training tutorial." + }, + { + "left": "issue:7441", + "right": "issue:9913", + "accept": false, + "reason": "One is a pytest/Python 3.12 compatibility failure; the other is about set_lora_device not working. Different code paths and symptoms." + }, + { + "left": "issue:8540", + "right": "issue:9101", + "accept": false, + "reason": "Both are training-script feature requests, but for different models and goals (SD3 caching vs. InstructPix2Pix for SD3). Not the same change." + }, + { + "left": "issue:1434", + "right": "issue:5540", + "accept": false, + "reason": "Both mention memory, but one is a specific upscale-pipeline OOM and the other is a generic inference OOM report." + }, + { + "left": "issue:3428", + "right": "issue:6382", + "accept": false, + "reason": "Both concern training/checkpoint behavior, but one is about changing Img2ImgPipeline behavior and the other is an IP-adapter key error in LCM LoRA training/output use." + }, + { + "left": "issue:1538", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and failures: StableDiffusionMegaPipeline with SD 2. base versus StableDiffusionXLInpaintPipeline not working." + }, + { + "left": "issue:2163", + "right": "issue:3453", + "accept": false, + "reason": "Both are training-script errors, but the root causes differ: UNet dtype mismatch versus BFloat16 CUDA triu/tril limitation." + }, + { + "left": "issue:4037", + "right": "issue:4826", + "accept": false, + "reason": "Both are ControlNet-related, but one is FSDP validation errors during training and the other is MultiControlNet reference-mode runtime errors." + }, + { + "left": "issue:2052", + "right": "issue:6252", + "accept": false, + "reason": "Both involve checkpoint/resume/loading, but textual inversion resume and LoRA weights not loaded are different mechanisms and failure modes." + }, + { + "left": "issue:10281", + "right": "issue:8414", + "accept": false, + "reason": "A diffusion scheduler request and a new text-to-audio model request are unrelated feature asks." + }, + { + "left": "issue:3233", + "right": "issue:4453", + "accept": false, + "reason": "Both mention LoRA conversion, but one is a generic convert-trained-LoRA-to-safetensor request and the other is SDXL LoRA conversion for A1111 compatibility." + }, + { + "left": "issue:4185", + "right": "issue:8729", + "accept": false, + "reason": "Both are ControlNet/SDXL validation problems, but one is black images in inference and the other is unexpected validation images during webdataset training." + }, + { + "left": "issue:5224", + "right": "issue:5607", + "accept": false, + "reason": "One is a Flax Stable Diffusion 2.1 error; the other is a tensor-size mismatch. No clear same underlying bug." + }, + { + "left": "issue:1127", + "right": "issue:1445", + "accept": false, + "reason": "Both are ONNX-related, but one is an import traceback with DMLExecutionProvider and the other is an AttributeError in a legacy inpaint pipeline." + }, + { + "left": "issue:10282", + "right": "issue:9996", + "accept": false, + "reason": "Different load-time shape/load-format problems: x_embedder shape mismatch versus Flux transformer loading in nf4." + }, + { + "left": "issue:10928", + "right": "issue:4356", + "accept": false, + "reason": "One is a missing fp16 checkpoint file in a local UNet directory; the other is a missing dummy module in diffusers packaging. Unrelated." + }, + { + "left": "issue:2783", + "right": "issue:3612", + "accept": false, + "reason": "Both are ControlNet feature requests, but one asks for an img2img/inpainting pipeline and the other asks how to create a ControlNet without a model/reference preprocessor. Not the same change." + }, + { + "left": "issue:2838", + "right": "issue:307", + "accept": false, + "reason": "Both are about pipeline structure, but one is a controlnet_pipeline UX request and the other is a broad request to merge Stable Diffusion pipelines. Too different in scope." + }, + { + "left": "issue:2052", + "right": "issue:5757", + "accept": false, + "reason": "Both involve resuming training, but textual inversion checkpoint resume and DreamBooth LoRA resume are separate scripts and issues." + }, + { + "left": "issue:6333", + "right": "issue:9063", + "accept": false, + "reason": "One is about finetuning pre-trained LoRA by PEFT; the other is a Flux tokenizer instantiation/loading error. Different problem domains." + }, + { + "left": "issue:4353", + "right": "issue:5630", + "accept": false, + "reason": "Both are SDXL quality issues, but one is a general poor-quality generation complaint and the other is scheduler-specific leftover noise in img2img." + }, + { + "left": "issue:7306", + "right": "issue:7480", + "accept": false, + "reason": "Both are runtime/memory concerns, but one is float16 support in LEditsPPPipelineStableDiffusionXL and the other is OOM in DeepFloyd IF." + }, + { + "left": "issue:9047", + "right": "issue:9051", + "accept": false, + "reason": "Both involve Flux, but one is MPS device support and the other is batch inference support. Different feature areas." + }, + { + "left": "issue:9178", + "right": "issue:9911", + "accept": false, + "reason": "Both are Flux + LoRA/ControlNet-related, but one is a PEFT target-module error in LoRA training while the other is multi-ControlNet with differing layer lengths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10533", + "issue:1076", + "issue:11160", + "issue:11258", + "issue:11581", + "issue:1188", + "issue:11989", + "issue:12329", + "issue:13008", + "issue:1305", + "issue:13105", + "issue:13232", + "issue:1445", + "issue:1851", + "issue:2695", + "issue:2776", + "issue:3284", + "issue:3391", + "issue:3451", + "issue:3613", + "issue:3812", + "issue:3885", + "issue:3984", + "issue:4733", + "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:10533|issue:11989", + "issue:3284|issue:4733", + "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" + ], + "prepared_review_unit_hash": "a0dc5f004e4aeeb53c682a26470b7b22ad4dbcbe9b10c0c288ceabc539cdd60c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34157, + "estimated_input_tokens": 8540, + "estimated_eval_tokens": 17336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No pull requests are present. The issues are mostly unrelated model/pipeline support requests or distinct runtime bugs; none of the soft pairs look like the same underlying defect strongly enough to merge.", + "confidence": 0.89, + "canonical_issue_reason": "issue:11989 is the best issue anchor because it clearly describes a concrete black-image inference failure with a broad symptom that could absorb true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11989 is the strongest standalone issue: it is symptom-focused, clearly stated, and has enough detail to serve as a useful duplicate target for black-output regressions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10533", + "right": "issue:11989", + "accept": false, + "reason": "Both mention black outputs, but they refer to different Flux scenarios and do not establish the same concrete code path or root cause." + }, + { + "left": "issue:3284", + "right": "issue:4733", + "accept": false, + "reason": "Both are training-related, but one is an accelerate launch failure and the other is a checkpoint-resume optimizer issue; different bugs." + }, + { + "left": "issue:1305", + "right": "issue:5442", + "accept": false, + "reason": "Direct Inversion and ScaleCrafter are unrelated pipeline/features; no shared failure mode." + }, + { + "left": "issue:2776", + "right": "issue:3984", + "accept": false, + "reason": "Different training errors with different exception types and causes; not the same underlying bug." + }, + { + "left": "issue:5004", + "right": "issue:8708", + "accept": false, + "reason": "One is fp16 checkpoint resume in SDXL Dreambooth; the other is a missing config field in SD3 training examples." + }, + { + "left": "issue:5025", + "right": "issue:9167", + "accept": false, + "reason": "An import error for randn_tensor is unrelated to failing to import StableDiffusion3Pipeline." + }, + { + "left": "issue:5931", + "right": "issue:9171", + "accept": false, + "reason": "Determinism complaints and single-file v_prediction loading are different issues." + }, + { + "left": "issue:9148", + "right": "issue:9873", + "accept": false, + "reason": "These are separate feature requests for different pipelines/models, not duplicates." + }, + { + "left": "issue:9665", + "right": "issue:9861", + "accept": false, + "reason": "Different training problems: accelerator/deepspeed interaction versus Flux transformer not updating." + }, + { + "left": "issue:11160", + "right": "issue:13105", + "accept": false, + "reason": "Both concern WAN inference, but one reports inconsistent results and the other output noise on a different model/version; root cause is not established." + }, + { + "left": "issue:1445", + "right": "issue:5917", + "accept": false, + "reason": "Legacy inpaint pipeline AttributeError is unrelated to a checkpoint conversion failure after upgrading diffusers." + }, + { + "left": "issue:3391", + "right": "issue:987", + "accept": false, + "reason": "Different pipelines and symptoms: overexposed super-resolution versus green speech-to-image output." + }, + { + "left": "issue:4885", + "right": "issue:6252", + "accept": false, + "reason": "Both mention LoRA loading, but one is a specific SDXL ControlNet pipeline and the other is generic checkpoint loading; not enough evidence of one bug." + }, + { + "left": "issue:6336", + "right": "issue:7722", + "accept": false, + "reason": "TensorRT VAE compilation with AutoencoderTiny is unrelated to an AnimateDiff ControlNet/IP-Adapter error." + }, + { + "left": "issue:8922", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black images, but they are different models/platforms (SD3 quantized T5 vs Kolors MPS) with no shared code path shown." + }, + { + "left": "issue:2695", + "right": "issue:3812", + "accept": false, + "reason": "A validation/reporting failure in ControlNet training is not the same as a missing controlnet config field." + }, + { + "left": "issue:1076", + "right": "issue:1188", + "accept": false, + "reason": "A generic stable-diffusion-v1-5 question and a CLIPSeg pipeline feature request are unrelated." + }, + { + "left": "issue:13008", + "right": "issue:13232", + "accept": false, + "reason": "Separate feature requests for FLUX.2-Klein training and LTX-2.3 support." + }, + { + "left": "issue:7237", + "right": "issue:7341", + "accept": false, + "reason": "Missing scheduler symbol and TorchVersion/Version comparison TypeError are distinct failures." + }, + { + "left": "issue:11258", + "right": "issue:12329", + "accept": false, + "reason": "Different model families and support issues: LTX single-file support versus Wan transformer version selection." + }, + { + "left": "issue:1851", + "right": "issue:3613", + "accept": false, + "reason": "One is slow multi-GPU Dreambooth training, the other is GPU OOM with torch 2.0; not the same bug." + }, + { + "left": "issue:11581", + "right": "issue:5798", + "accept": false, + "reason": "Different API breakages in different pipelines: IP-Adapter dtype handling versus callback_on_step_end support." + }, + { + "left": "issue:7306", + "right": "issue:7432", + "accept": false, + "reason": "Float16 problems in one pipeline are unrelated to output differences versus WebUI." + }, + { + "left": "issue:3451", + "right": "issue:3885", + "accept": false, + "reason": "Memory usage anomaly and a general VRAM reduction question are related only at a high level, 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": 1, + "component_count": 102, + "review_unit_index": 132, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10010", + "issue:10147", + "issue:10337", + "issue:10540", + "issue:10612", + "issue:1076", + "issue:10866", + "issue:11088", + "issue:11092", + "issue:11418", + "issue:11561", + "issue:11581", + "issue:11878", + "issue:11922", + "issue:11978", + "issue:1261", + "issue:12666", + "issue:13043", + "issue:13142", + "issue:1392", + "issue:1574", + "issue:1734", + "issue:1934", + "issue:2053", + "issue:2107", + "issue:228", + "issue:2420", + "issue:2480", + "issue:2495", + "issue:259", + "issue:3325", + "issue:3468", + "issue:4080", + "issue:4427", + "issue:4542", + "issue:4830", + "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:10337|issue:10612", + "issue:11418|issue:11922", + "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" + ], + "prepared_review_unit_hash": "ade7325fc9705f1d240378e73ece5551144c856b131e211f1c3813d47b9bb17b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34010, + "estimated_input_tokens": 8503, + "estimated_eval_tokens": 17262 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly heterogeneous. A few items are loosely related by model family (FLUX, Wan, Dreambooth, IP-Adapter), but none of the soft pairs look like the same concrete bug/change, so all soft edges should be rejected. The clearest single issue in the batch is the FLUX Fill model loading failure caused by a missing `model_index.json` URL.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10010 is the most concrete FLUX Fill loading bug here: it names the exact failing URL and root cause, making it the best anchor for the FLUX Fill example-load problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10010 is the best representative issue because it is specific, reproducible, and identifies the underlying loader failure directly rather than a vague symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10337", + "right": "issue:10612", + "accept": false, + "reason": "Both involve FLUX and adapters, but one is an IPAdapter + quantized transformers failure and the other is an NF4 LoRA load error; different code paths." + }, + { + "left": "issue:11418", + "right": "issue:11922", + "accept": false, + "reason": "One asks how to add an fp8 FLUX Fill weight file; the other reports a FLUX.1-Fill-dev runtime problem. Different issues." + }, + { + "left": "issue:11978", + "right": "issue:8414", + "accept": false, + "reason": "These are unrelated new-model requests for Bria 3.2 and ConsistencyTTA; no shared bug or change." + }, + { + "left": "issue:12666", + "right": "issue:13142", + "accept": false, + "reason": "One is a missing video pipeline/model support request; the other is a `from_pretrained` regression with transformers 5.1.0. Not the same problem." + }, + { + "left": "issue:1574", + "right": "issue:1734", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a training failure on an 8GB GPU and the other is multi-GPU slowness. Different bugs." + }, + { + "left": "issue:2107", + "right": "issue:2495", + "accept": false, + "reason": "Both mention bad/black images, but one is low-resolution output corruption and the other is an MPS upscale pipeline issue. Not the same concrete bug." + }, + { + "left": "issue:228", + "right": "issue:259", + "accept": false, + "reason": "A broken release link and a progress-bar fix are unrelated." + }, + { + "left": "issue:4830", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor-size errors in ControlNet-related code, but they affect different models and conditions; not clearly the same bug." + }, + { + "left": "issue:5769", + "right": "issue:7185", + "accept": false, + "reason": "Mixed-precision training behavior and PyTorch 2.2 compatibility are distinct concerns." + }, + { + "left": "issue:7405", + "right": "issue:9744", + "accept": false, + "reason": "Two different new-model requests (DynamiCrafter vs Mochi Video Model), not duplicates." + }, + { + "left": "issue:1261", + "right": "issue:964", + "accept": false, + "reason": "An xformers backward-pass assertion and an inpainting example failure are unrelated." + }, + { + "left": "issue:11088", + "right": "issue:11878", + "accept": false, + "reason": "Both are Wan GGUF load errors, but they target different model families/sizes and do not show the same concrete failure path." + }, + { + "left": "issue:2420", + "right": "issue:3325", + "accept": false, + "reason": "A LoRA/xformers memory-efficient attention problem and a Dreambooth CUDA invalid-argument error are different training failures." + }, + { + "left": "issue:10147", + "right": "issue:11561", + "accept": false, + "reason": "Multi-view generation support and FLUX IP-Adapter loading are separate feature requests/issues." + }, + { + "left": "issue:4080", + "right": "issue:6928", + "accept": false, + "reason": "An SDXL inpainting pipeline request and a Marigold colorization option request are unrelated." + }, + { + "left": "issue:11092", + "right": "issue:9366", + "accept": false, + "reason": "Both involve img2img/timesteps/scheduler behavior, but the reported failures and triggering conditions are different; not enough to treat as the same bug." + }, + { + "left": "issue:1934", + "right": "issue:2053", + "accept": false, + "reason": "Both concern VRAM usage, but one is cpu_offload memory consumption and the other is a general version regression. Different issues." + }, + { + "left": "issue:2480", + "right": "issue:3468", + "accept": false, + "reason": "Both are Dreambooth output-structure problems, but one is missing per-checkpoint `unet` folders and the other is missing `model_index.json`. Distinct artifacts." + }, + { + "left": "issue:10866", + "right": "issue:13043", + "accept": false, + "reason": "A LoRA compatibility issue and a Blackwell attention-backend kernel error are unrelated." + }, + { + "left": "issue:4427", + "right": "issue:7931", + "accept": false, + "reason": "Both mention adapter examples, but one is T2I Multiadapter and the other is SDXL ControlNet inpaint with IP-Adapter embeds. Different pipelines and bugs." + }, + { + "left": "issue:4542", + "right": "issue:8626", + "accept": false, + "reason": "An img2img image-count limitation and guidance for multiple IP-Adapter images/masks are not the same underlying issue." + }, + { + "left": "issue:10010", + "right": "issue:10540", + "accept": false, + "reason": "Both touch FLUX Fill loading, but one is a missing example model_index URL and the other is a `from_single_file` regression after adding FLUX Fill support. Different failure modes." + }, + { + "left": "issue:1076", + "right": "issue:1392", + "accept": false, + "reason": "These are just two different model/general questions (Stable Diffusion v1-5 and Stable Diffusion 2), not duplicates." + }, + { + "left": "issue:11581", + "right": "issue:9069", + "accept": false, + "reason": "A FLUX IP-Adapter constructor `dtype` error and a NumPy type mismatch error 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": 133, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10591", + "issue:11864", + "issue:11978", + "issue:12107", + "issue:13107", + "issue:13249", + "issue:13261", + "issue:13484", + "issue:1566", + "issue:1657", + "issue:2375", + "issue:2606", + "issue:2856", + "issue:3065", + "issue:4109", + "issue:4265", + "issue:4269", + "issue:4286", + "issue:4398", + "issue:4530", + "issue:4551", + "issue:4598", + "issue:4880", + "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:7431", + "issue:7681", + "issue:8557", + "issue:9042", + "issue:9089", + "issue:9109", + "issue:9112", + "issue:9393", + "issue:9454", + "issue:9497", + "issue:9546", + "issue:9613" + ], + "soft_pairs": [ + "issue:1657|issue:3065", + "issue:4269|issue:4880", + "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" + ], + "prepared_review_unit_hash": "4878b9923f1282db063809b1aaeaddda3da98e84ee8cdf0886115eb7b8725fa0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34138, + "estimated_input_tokens": 8535, + "estimated_eval_tokens": 17326 + }, + "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 scripts, import errors, pipeline requests, and model-specific failures. All soft pairs are only superficially similar and should be kept separate.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits the full set: the items span different models, pipelines, and failure modes, with only broad keyword overlap.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 13261 is the most detailed and discussion-rich report, so it is the closest thing to an anchor for a Flux-LoRA subset, but it still does not represent the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1657", + "right": "issue:3065", + "accept": false, + "reason": "One is a Kaggle notebook request; the other is a DreamBooth LoRA feature request. Different intent and no shared bug." + }, + { + "left": "issue:4269", + "right": "issue:4880", + "accept": false, + "reason": "Both are ControlNet validation errors, but the concrete failure differs: default-arg TypeError vs image input type handling." + }, + { + "left": "issue:4109", + "right": "issue:4286", + "accept": false, + "reason": "SDXL inpaint pipeline failure and LoRA loading failure are different code paths and symptoms." + }, + { + "left": "issue:7431", + "right": "issue:9497", + "accept": false, + "reason": "DreamBooth DoRA training issues and Flux mat2 shape errors are unrelated model/training problems." + }, + { + "left": "issue:13249", + "right": "issue:13261", + "accept": false, + "reason": "Both mention LoRA, but they concern different models (Z-Image vs FLUX.2-klein-9B) and different failure modes." + }, + { + "left": "issue:11864", + "right": "issue:2375", + "accept": false, + "reason": "Both are NameError reports, but they reference different missing names in unrelated code paths ('torch' vs 'safe_open')." + }, + { + "left": "issue:4598", + "right": "issue:9109", + "accept": false, + "reason": "Generic missing-dependency UX issue versus a specific torchvision operator/runtime import failure; not the same bug." + }, + { + "left": "issue:11978", + "right": "issue:9042", + "accept": false, + "reason": "Both add pipelines, but for different models (Bria 3.2 vs Flux); this is not a duplicate change request." + }, + { + "left": "issue:5544", + "right": "issue:7681", + "accept": false, + "reason": "FreeU toggle behavior in SDXL and an OpenSSL/lib import failure are unrelated." + }, + { + "left": "issue:6481", + "right": "issue:9393", + "accept": false, + "reason": "Both are training-related, but one is batch-size behavior in DreamBooth and the other is a Flux LoRA save failure under DeepSpeed." + }, + { + "left": "issue:1566", + "right": "issue:4551", + "accept": false, + "reason": "Different DreamBooth crashes with different triggers: fp16 checkpoint saving versus SDXL base model usage." + }, + { + "left": "issue:12107", + "right": "issue:9613", + "accept": false, + "reason": "Custom init_trackers object handling and a Timesteps.scale attribute error are separate API/runtime problems." + }, + { + "left": "issue:5488", + "right": "issue:5509", + "accept": false, + "reason": "Both are image-generation issues, but one is a broken demo and the other is a prompt/image batch-size validation error." + }, + { + "left": "issue:10591", + "right": "issue:8557", + "accept": false, + "reason": "Both involve SD3 training, but one is a LoRA script bug and the other is a token-limit complaint; not the same failure." + }, + { + "left": "issue:2856", + "right": "issue:4974", + "accept": false, + "reason": "Both are conversion-to-diffusers topics, but they concern different source formats and distinct problems." + }, + { + "left": "issue:4265", + "right": "issue:6794", + "accept": false, + "reason": "Unrelated import errors: a missing ControlNet pipeline class versus a training utility import failure." + }, + { + "left": "issue:4398", + "right": "issue:4530", + "accept": false, + "reason": "Both mention SDXL image artifacts, but one is black outputs in LoRA DreamBooth and the other is color artifacts in the refiner." + }, + { + "left": "issue:4925", + "right": "issue:9546", + "accept": false, + "reason": "Both are OOM reports, but they occur on different models and steps (SDXL ControlNet distributed training vs Flux validation)." + }, + { + "left": "issue:9089", + "right": "issue:9454", + "accept": false, + "reason": "Both are missing-model/pipeline reports, but for different components (FluxPipeline vs CogVideoX Image2Video)." + }, + { + "left": "issue:2606", + "right": "issue:5743", + "accept": false, + "reason": "Both are training-stuck reports, but the contexts differ completely (DeepSpeed save_state hang vs LCD training at 0%)." + }, + { + "left": "issue:13107", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux LoRA failures, but one is missing keys for Klein LoRA and the other is a load failure for FAL loras on Flux 2 dev." + }, + { + "left": "issue:5023", + "right": "issue:7021", + "accept": false, + "reason": "A pipeline import error and an HF_HOME import/config error are not the same underlying bug." + }, + { + "left": "issue:5433", + "right": "issue:5515", + "accept": false, + "reason": "Both touch scheduler/pipeline behavior, but one is SDXL artifacting with DPM++ and the other is LCM initialization without a scheduler." + }, + { + "left": "issue:5894", + "right": "issue:9112", + "accept": false, + "reason": "Invalid buffer size and Auraflow tensor-shape mismatch are unrelated runtime 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": 134, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10239", + "issue:10453", + "issue:10674", + "issue:10863", + "issue:11436", + "issue:1475", + "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: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:7347", + "issue:7348", + "issue:7483", + "issue:761", + "issue:8287", + "issue:8871", + "issue:8922", + "issue:9007", + "issue:9051", + "issue:9069", + "issue:9136", + "issue:9164", + "issue:9393", + "issue:9914" + ], + "soft_pairs": [ + "issue:9164|issue:9393", + "issue:7347|issue:8871", + "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" + ], + "prepared_review_unit_hash": "37236f7f9d6f1ec9fff60791534625ecea8ca0d253bfce9d3d20e593d99c17e2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33367, + "estimated_input_tokens": 8342, + "estimated_eval_tokens": 16940 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are false positives: they share a broad subsystem or error theme, but not the same concrete bug. The only likely true duplicate is the from_ckpt loading reports (3595/3661).", + "confidence": 0.77, + "canonical_issue_reason": "issue:3595 is the broadest, older from_ckpt loading report, and issue:3661 reads like the Stable Diffusion 2.x-specific instance of the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3595 is the best representative because it describes the underlying from_ckpt failure at the right abstraction level and subsumes the SD2-specific follow-up.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9164", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux/Dreambooth training issues, but one is convergence and the other is model saving under deepspeed; different failures." + }, + { + "left": "issue:7347", + "right": "issue:8871", + "accept": false, + "reason": "Both mention LoRA training, but the concrete bugs differ: latest-update breakage vs FP16 unscale error." + }, + { + "left": "issue:3468", + "right": "issue:3700", + "accept": false, + "reason": "Missing model_index.json after Dreambooth training is unrelated to the min_snr argument problem in a LoRA script." + }, + { + "left": "issue:10239", + "right": "issue:10453", + "accept": false, + "reason": "Same pipeline family, but enable_sequential_cpu_offload support and batch size > 1 are different code paths." + }, + { + "left": "issue:1475", + "right": "issue:761", + "accept": false, + "reason": "Different training issues: mixed class-of-images behavior vs 8-bit Adam optimizer failure." + }, + { + "left": "issue:3111", + "right": "issue:3418", + "accept": false, + "reason": "One asks for custom conditioning encoders; the other adds a text-encoder section to a specific training script." + }, + { + "left": "issue:1931", + "right": "issue:4427", + "accept": false, + "reason": "Different models and failures: SD2 float16 mismatch vs multiadapter example not working." + }, + { + "left": "issue:10674", + "right": "issue:9051", + "accept": false, + "reason": "Both involve Flux, but GGUF loading and batch inference are distinct bugs." + }, + { + "left": "issue:4236", + "right": "issue:6974", + "accept": false, + "reason": "Both touch dual-text-encoder handling, but refiner registration and unloading textual inversion are different problems." + }, + { + "left": "issue:4911", + "right": "issue:8287", + "accept": false, + "reason": "Custom text_encoder loading from_single_file is not the same as the text_encoder=None failure." + }, + { + "left": "issue:5044", + "right": "issue:5963", + "accept": false, + "reason": "Different Kandinsky generations and different failure modes: load failure vs embeds-vs-prompts handling." + }, + { + "left": "issue:10674", + "right": "issue:7483", + "accept": false, + "reason": "Unrelated issues: Flux GGUF compatibility vs LoRA-to-Diffusers conversion for SDXL-base models." + }, + { + "left": "issue:10863", + "right": "issue:9914", + "accept": false, + "reason": "Local safetensors loading and Xlabs LoRA loading are different code paths with different symptoms." + }, + { + "left": "issue:6176", + "right": "issue:6560", + "accept": false, + "reason": "Training-time LoRA load failure is not the same as the LoRA shape-size regression." + }, + { + "left": "issue:3174", + "right": "issue:4975", + "accept": false, + "reason": "Both concern LoRA internals, but one is a loading breakage and the other is a performance issue." + }, + { + "left": "issue:3623", + "right": "issue:4593", + "accept": false, + "reason": "Unable to load larger models is not the same as an A1111 LoRA rank constraint." + }, + { + "left": "issue:3595", + "right": "issue:3661", + "accept": true, + "reason": "Same from_ckpt loading bug; 3661 is the Stable Diffusion 2.x-specific manifestation of the broader 3595 report." + }, + { + "left": "issue:6815", + "right": "issue:9007", + "accept": false, + "reason": "Both can yield black output, but the cast warning and the DPMSolver order issue are different root causes." + }, + { + "left": "issue:11436", + "right": "issue:9069", + "accept": false, + "reason": "Different errors and models: dtype mismatch in Hidream vs an ndarray type mismatch." + }, + { + "left": "issue:3876", + "right": "issue:7348", + "accept": false, + "reason": "Same ControlNet inpaint area, but the demo error and the EulerAncestral weird-results bug are not the same change." + }, + { + "left": "issue:5509", + "right": "issue:6506", + "accept": false, + "reason": "Batch-size validation for image inputs is unrelated to StableVideoDiffusion returning a list for np output." + }, + { + "left": "issue:2577", + "right": "issue:7168", + "accept": false, + "reason": "DDIM inverse scheduling and IP-Adapter image embeds are unrelated issues." + }, + { + "left": "issue:4321", + "right": "issue:8922", + "accept": false, + "reason": "Both mention black/zero outputs, but DirectML FP16 black images and SD3 8-bit T5xxl zeroes are different bugs." + }, + { + "left": "issue:7033", + "right": "issue:9136", + "accept": false, + "reason": "Attention-masking warning logs and quality degradation at some resolutions are not the same underlying problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst\u2019s summary is grounded in the packet and stays conservative. The only accepted soft edge, issue:3595 \u2194 issue:3661, is well supported by the titles as the broader from_ckpt report plus an SD2-specific variant. The remaining pairs are plausibly distinct failures or code paths rather than clear duplicates, so the false verdicts are appropriately cautious." + }, + "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": 135, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10025", + "issue:10797", + "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:1534", + "issue:1537", + "issue:1572", + "issue:1672", + "issue:1949", + "issue:2036", + "issue:2107", + "issue:2218", + "issue:2371", + "issue:2552", + "issue:3222", + "issue:3238", + "issue:4101", + "issue:4255", + "issue:435", + "issue:4398", + "issue:4476", + "issue:4932", + "issue:4954", + "issue:5510", + "issue:5570", + "issue:5633", + "issue:6351", + "issue:6520", + "issue:6686", + "issue:7142", + "issue:7801", + "issue:861", + "issue:8668", + "issue:8729", + "issue:9179", + "issue:9223", + "issue:9717", + "issue:9971" + ], + "soft_pairs": [ + "issue:10797|issue:9971", + "issue:1534|issue:435", + "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" + ], + "prepared_review_unit_hash": "29f253d544d6e91a8fa646b436bdfaec069fb5898378e686aaef19c3ea7176d3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34078, + "estimated_input_tokens": 8520, + "estimated_eval_tokens": 17296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are only loosely related by diffusion-model tooling and model families, but they span different pipelines, error modes, and scripts. None of the soft pairs look like true duplicates or the same fixable code-path change.", + "confidence": 0.93, + "canonical_issue_reason": "issue:11050 is the most concrete and actionable report: it names the exact script and the specific dtype-casting bug in prompt_embeds/pooled_prompt_embeds, making it a better cluster representative than the broader or more ambiguous reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11050 is the strongest standalone issue for triage because it is narrowly scoped, reproducible, and points to a likely single-line fix in a named file.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10797", + "right": "issue:9971", + "accept": false, + "reason": "Different pipelines and failures: HunyuanVideo group offloading vs FLUX scheduler behavior. Only a broad FLUX/video theme overlaps." + }, + { + "left": "issue:1534", + "right": "issue:435", + "accept": false, + "reason": "Both involve training notebooks, but one is a Dreambooth notebook error and the other is a textual inversion VAE output attribute error. Different bugs and code paths." + }, + { + "left": "issue:3238", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is LoRA safetensor conversion and the other is ckpt-to-diffusers conversion. Not the same underlying issue." + }, + { + "left": "issue:11050", + "right": "issue:7801", + "accept": false, + "reason": "One is a specific training-script dtype cast bug; the other is a mixed_precision mismatch report. Similar theme, different concrete problem." + }, + { + "left": "issue:2107", + "right": "issue:4398", + "accept": false, + "reason": "Both mention black/glitchy images, but one is low-resolution inference and the other is an SDXL LoRA-dreambooth output issue. Not the same bug." + }, + { + "left": "issue:3222", + "right": "issue:6686", + "accept": false, + "reason": "Different symptoms and subsystems: missing custom diffusion weight file after training vs Dynamo compile/save-load performance regression." + }, + { + "left": "issue:11464", + "right": "issue:9717", + "accept": false, + "reason": "Different FLUX problems: loading a specific LoRA into FluxControlPipeline vs a Docker image error." + }, + { + "left": "issue:4476", + "right": "issue:8729", + "accept": false, + "reason": "Both touch SDXL ControlNet training, but one is about expected results and the other about unexpected validation images. Too broad to be the same bug." + }, + { + "left": "issue:6520", + "right": "issue:9179", + "accept": false, + "reason": "Different training scripts and failures: blank validation output in t2i adapter training vs nonsensical SDXL+ControlNet training results." + }, + { + "left": "issue:4255", + "right": "issue:7142", + "accept": false, + "reason": "Both compare diffusers output to webui, but they concern different models and different reproduction contexts. Not the same concrete issue." + }, + { + "left": "issue:5570", + "right": "issue:9223", + "accept": false, + "reason": "A missing utility function in packaging is unrelated to a dependency-version conflict around pyarrow/datasets." + }, + { + "left": "issue:5510", + "right": "issue:8668", + "accept": false, + "reason": "Different failures: dtype mismatch in SDXL InstructPix2Pix vs image-size alignment failure in SD3 img2img." + }, + { + "left": "issue:11006", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan video-model issues, but one is quantized I2V broken output and the other is incompatibility with specific distilled LoRAs. Not mergeable as one bug." + }, + { + "left": "issue:10025", + "right": "issue:12071", + "accept": false, + "reason": "Both mention FLUX transformer behavior, but one is about attention masks and the other about single-block forward behavior changes. Different code-path concerns." + }, + { + "left": "issue:10954", + "right": "issue:11418", + "accept": false, + "reason": "One is a LoRA failing to load; the other is a question about adding an fp8 model file. Same ecosystem, different issue." + }, + { + "left": "issue:1185", + "right": "issue:2371", + "accept": false, + "reason": "Different Dreambooth outcomes: reproducibility concerns vs missing objects in generated output." + }, + { + "left": "issue:12107", + "right": "issue:6351", + "accept": false, + "reason": "Unrelated problems: accelerator tracker initialization with custom objects vs DistributedDataParallel missing disable_adapters." + }, + { + "left": "issue:122", + "right": "issue:4101", + "accept": false, + "reason": "A Python import error during training is unrelated to a controlnet conversion failure." + }, + { + "left": "issue:1398", + "right": "issue:1537", + "accept": false, + "reason": "Both mention Apple MPS, but one is a general Stable Diffusion 2 compatibility issue and the other is specifically about two schedulers. Not the same bug." + }, + { + "left": "issue:1475", + "right": "issue:4954", + "accept": false, + "reason": "Different training problems: class-image usage in Dreambooth/textual inversion vs a pickle/unpickling error in textual inversion." + }, + { + "left": "issue:1572", + "right": "issue:4932", + "accept": false, + "reason": "Different pipeline behaviors: stable_diffusion_mega img2img/inpainting failure vs missing pytorch_model.bin after Dreambooth training." + }, + { + "left": "issue:1672", + "right": "issue:2036", + "accept": false, + "reason": "One is an output-size regression after conversion; the other is an OSError loading a model. Not the same code defect." + }, + { + "left": "issue:1949", + "right": "issue:2552", + "accept": false, + "reason": "Both are tutorial/training questions, but they target different examples and error modes." + }, + { + "left": "issue:2218", + "right": "issue:5633", + "accept": false, + "reason": "Different problems: overtraining during model training vs a bug in transformer_temporal.py." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:11241", + "issue:11592", + "issue:11791", + "issue:12319", + "issue:1541", + "issue:1672", + "issue:1931", + "issue:2363", + "issue:2549", + "issue:2659", + "issue:2838", + "issue:2858", + "issue:2991", + "issue:3065", + "issue:3112", + "issue:3296", + "issue:3401", + "issue:3418", + "issue:3480", + "issue:3926", + "issue:4213", + "issue:4304", + "issue:4709", + "issue:4852", + "issue:5178", + "issue:5285", + "issue:5892", + "issue:5897", + "issue:5917", + "issue:5963", + "issue:6222", + "issue:6372", + "issue:6382", + "issue:6540", + "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:2838|issue:2858", + "issue:2991|issue:6540", + "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: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" + ], + "prepared_review_unit_hash": "741fdc6922e1ffc9044ab0acf7e2b76273f5560ec92652a86647b4b251bdbf09", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34243, + "estimated_input_tokens": 8561, + "estimated_eval_tokens": 17378 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous diffusion/training/loading issues. The only soft pair that looks like the same underlying bug is the batch-size-dependent DDPM scheduler report; the rest are broader subsystem neighbors but not true duplicates.", + "confidence": 0.64, + "canonical_issue_reason": "issue:6222 is the best representative because it states the core bug directly: DDPM output depends on batch size. It matches the accepted duplicate-style report more precisely than the symptom-level phrasing in issue:2659.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6222 is the strongest global issue candidate: it is specific, technically clear, and corresponds to the only pair that appears to describe the same defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2838", + "right": "issue:2858", + "accept": false, + "reason": "Both are Stable Diffusion adjacent, but one is about a ControlNet pipeline behavior request and the other is about seeding image support in an UnCLIP img2img flow; different changes." + }, + { + "left": "issue:2991", + "right": "issue:6540", + "accept": false, + "reason": "Both involve ControlNet training, but one is a mixed-precision example failure and the other is an FSDP matmul/shape error; not the same bug." + }, + { + "left": "issue:3065", + "right": "issue:4304", + "accept": false, + "reason": "These are related DreamBooth/LoRA feature requests, but one is about adding text-encoder LoRA tuning to an existing script and the other is SDXL text-to-image LoRA support; separate work." + }, + { + "left": "issue:3112", + "right": "issue:6372", + "accept": false, + "reason": "Both mention ControlNet, but one asks for multi-ControlNet inpainting while the other is SVD + ControlNet; different pipelines and problems." + }, + { + "left": "issue:3418", + "right": "issue:3480", + "accept": false, + "reason": "One requests text-encoder support in a training script; the other requests a scale parameter for text-encoder LoRA layers. Same area, not the same issue." + }, + { + "left": "issue:3926", + "right": "issue:5285", + "accept": false, + "reason": "Documentation example request vs Japanese translation request; unrelated changes." + }, + { + "left": "issue:5178", + "right": "issue:5917", + "accept": false, + "reason": "One is DPM SDE resolution-dependent behavior after a first run; the other is a checkpoint conversion regression after upgrading diffusers. Different code paths." + }, + { + "left": "issue:5892", + "right": "issue:7021", + "accept": false, + "reason": "Both are import errors, but the reported causes and contexts differ; too generic to treat as duplicates." + }, + { + "left": "issue:5917", + "right": "issue:5963", + "accept": false, + "reason": "Checkpoint conversion failure vs Kandinsky embeds API failure; no clear shared underlying defect." + }, + { + "left": "issue:7168", + "right": "issue:9136", + "accept": false, + "reason": "Both involve IP-Adapter, but one asks about image-embed tensor shape and the other reports quality issues at certain resolutions; not the same bug." + }, + { + "left": "issue:7237", + "right": "issue:9424", + "accept": false, + "reason": "Missing scheduler class vs a broken notebook on latest versions; different failure modes and likely different causes." + }, + { + "left": "issue:11241", + "right": "issue:9484", + "accept": false, + "reason": "Flux ControlNet core-dump during training and FLUX DreamBooth multigpu/deepspeed are different training failures, not one concrete bug." + }, + { + "left": "issue:2549", + "right": "issue:4213", + "accept": false, + "reason": "SD2 UNet incompatibility and SDXL from_single_file without accelerate are separate loading issues." + }, + { + "left": "issue:2659", + "right": "issue:6222", + "accept": true, + "reason": "Both describe batch-size-dependent output variation in DDPM/Stable Diffusion; the wording differs, but the underlying bug appears to be the same scheduler dependency." + }, + { + "left": "issue:1541", + "right": "issue:3296", + "accept": false, + "reason": "DreamBooth model-type detection failure vs checkpoint save/load with text encoder; different problems." + }, + { + "left": "issue:2363", + "right": "issue:6584", + "accept": false, + "reason": "General LoRA conversion question vs a specific DreamShaper inpaint conversion failure; not the same issue." + }, + { + "left": "issue:4852", + "right": "issue:8493", + "accept": false, + "reason": "Generic LoRA loading error vs SD3Transformer state_dict mismatch; different model/loading paths." + }, + { + "left": "issue:7690", + "right": "issue:8359", + "accept": false, + "reason": "Tokenizer load failure and from_single_file custom checkpoint support are unrelated loading problems." + }, + { + "left": "issue:7133", + "right": "issue:7138", + "accept": false, + "reason": "Checkpoint resume text-encoder size mismatch vs SDXL UNet structure mismatch; both SDXL-related, but not the same bug." + }, + { + "left": "issue:11791", + "right": "issue:12319", + "accept": false, + "reason": "Both involve group offloading, but one is about loading LoRA weights after offloading and the other is a block_level offloading bug; too broad to merge confidently." + }, + { + "left": "issue:11592", + "right": "issue:9613", + "accept": false, + "reason": "FluxLoraLoaderMixin adapter deletion regression and a Timesteps.scale attribute error are unrelated regression reports." + }, + { + "left": "issue:6382", + "right": "issue:8649", + "accept": false, + "reason": "IP-Adapter key error after LCM LoRA training vs SD3 num_images_per_prompt handling; different subsystems." + }, + { + "left": "issue:1672", + "right": "issue:6382", + "accept": false, + "reason": "ckpt-to-diffusers image-size conversion issue vs IP-Adapter key error during use; unrelated." + }, + { + "left": "issue:1931", + "right": "issue:4709", + "accept": false, + "reason": "Half/float dtype mismatch in SD2 vs SDXL ControlNet guess mode support; different bugs." + }, + { + "left": "issue:3401", + "right": "issue:5897", + "accept": false, + "reason": "class_labels requirement for class embeddings vs a device mismatch in LoRA training; not duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst\u2019s summary is well grounded in the packet: most pairs are clearly only loosely related by subsystem, and the single accepted pair (issue:2659 / issue:6222) is the most plausible duplicate-style match from the titles alone. The rejected pairs are generally conservative and do not overclaim equivalence. No PR-mergeability concern applies here because this is an issue-only 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": 137, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:11149", + "issue:11436", + "issue:11978", + "issue:12358", + "issue:1445", + "issue:1451", + "issue:1478", + "issue:1500", + "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:4198", + "issue:4206", + "issue:4250", + "issue:4460", + "issue:4773", + "issue:5075", + "issue:5224", + "issue:5281", + "issue:5284", + "issue:5319", + "issue:540", + "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:4198|issue:5075", + "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" + ], + "prepared_review_unit_hash": "9702d9c4e756ff4528027718484fd69bb48251cba03cde219c4707fef0572c7b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33492, + "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 highly heterogeneous: it mixes unrelated bug reports, feature requests, and version-specific pipeline issues. None of the soft pairs look like strong duplicates under a strict triage standard. No pull requests are present.", + "confidence": 0.93, + "canonical_issue_reason": "issue:540 is the broadest and most referenced issue in the set, so it is the most reasonable anchor if one must choose a representative issue for this otherwise unrelated cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:540 has the widest apparent downstream impact and the most inbound references, making it the best representative issue even though the cluster does not form a true duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4198", + "right": "issue:5075", + "accept": false, + "reason": "Both mention mat1/mat2 errors, but one is a dtype mismatch and the other is a shape mismatch in a different SDXL refiner path." + }, + { + "left": "issue:11978", + "right": "issue:12358", + "accept": false, + "reason": "These are separate feature requests for different pipelines/models (Bria 3.2 vs Lumina-DiMOO), not the same change." + }, + { + "left": "issue:1478", + "right": "issue:2495", + "accept": false, + "reason": "One reports a multi-image output limitation; the other reports an MPS black-image bug. Different symptoms and likely different causes." + }, + { + "left": "issue:2663", + "right": "issue:4250", + "accept": false, + "reason": "The first is about loading failure with safetensors safety checker files; the second is a general from_pretrained load issue." + }, + { + "left": "issue:4206", + "right": "issue:5997", + "accept": false, + "reason": "One is broken SDXL ControlNet training on main; the other is a tutorial/config mismatch error involving clip_text_model." + }, + { + "left": "issue:11436", + "right": "issue:720", + "accept": false, + "reason": "Both are dtype-related, but they occur in different code paths and with different root causes: quantizer API error vs traced UNet Half/Float mismatch." + }, + { + "left": "issue:4773", + "right": "issue:5319", + "accept": false, + "reason": "A loading bug for CivitAI LoRA is not the same as a performance request to speed up LoRA loading with PEFT." + }, + { + "left": "issue:7931", + "right": "issue:9495", + "accept": false, + "reason": "Both involve SDXL and IP-Adapter, but they affect different pipeline variants and report different failures." + }, + { + "left": "issue:8233", + "right": "issue:9953", + "accept": false, + "reason": "Depth fp16 errors and quantized-component CUDA \u057f\u0565\u0572\u0561\u0583\u0578\u056dation errors are different failure modes in different subsystems." + }, + { + "left": "issue:7357", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance complaints, but one is about SDXL with torch.compile/fuse_loras and the other is about slow first inference in diffusers 0.27.x." + }, + { + "left": "issue:3209", + "right": "issue:3347", + "accept": false, + "reason": "Both mention NaNs, but one is an AutoencoderKL large-image encoder instability and the other is a generic pipeline output NaN report." + }, + { + "left": "issue:3540", + "right": "issue:3937", + "accept": false, + "reason": "These are unrelated: prompt embedding support in TextToVideoZero versus a ZeroscopeXL model-loading/normal-use issue." + }, + { + "left": "issue:540", + "right": "issue:725", + "accept": false, + "reason": "Both concern memory, but one is runtime GPU placement of UNet and the other is load-time device mapping/accelerate support; not the same bug or change." + }, + { + "left": "issue:6238", + "right": "issue:9844", + "accept": false, + "reason": "The first is a generic SDXL VAE issue; the second specifically reports NaNs in the SDXL VAE encoder. Too broad to treat as the same underlying bug." + }, + { + "left": "issue:3432", + "right": "issue:3565", + "accept": false, + "reason": "A CPU Half precision conv error is unrelated to a CUDA out-of-memory training failure." + }, + { + "left": "issue:5281", + "right": "issue:7658", + "accept": false, + "reason": "One is a device-placement/offload bug with multiple XL pipelines; the other is a question about multiple conditioning with ControlNet in SDXL." + }, + { + "left": "issue:3564", + "right": "issue:5284", + "accept": false, + "reason": "Both are ControlNet-related feature requests, but they request different extensions (Uni-ControlNet vs ControlNet-LLLite)." + }, + { + "left": "issue:3761", + "right": "issue:6323", + "accept": false, + "reason": "Loading multiple community pipelines and a TensorRT guidance_scale attribute error are unrelated issues." + }, + { + "left": "issue:11149", + "right": "issue:11436", + "accept": false, + "reason": "One is a quantizer API TypeError about an unexpected dtype argument; the other is a runtime matmul dtype mismatch in inference." + }, + { + "left": "issue:1451", + "right": "issue:5224", + "accept": false, + "reason": "Both are Flax Stable Diffusion problems, but they involve different model versions and different failure contexts." + }, + { + "left": "issue:6159", + "right": "issue:7978", + "accept": false, + "reason": "SDXL ControlNet-XS missing denoising_end support and a missing torchvision::nms operator are clearly unrelated." + }, + { + "left": "issue:3980", + "right": "issue:4460", + "accept": false, + "reason": "Prompt-length divergence from A1111 is not the same as a broad stable diffusion vs diffusers result mismatch." + }, + { + "left": "issue:3363", + "right": "issue:3454", + "accept": false, + "reason": "Both concern train_dreambooth_lora.py, but the reported breakage modes differ and there is no evidence they share the same root cause." + }, + { + "left": "issue:1445", + "right": "issue:1500", + "accept": false, + "reason": "An Onnx inpaint legacy AttributeError is unrelated to a community pipeline incompatibility with Diffusers v0.10.0." + } + ] + }, + "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": 138, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10823", + "issue:11010", + "issue:12078", + "issue:1404", + "issue:1445", + "issue:1672", + "issue:1807", + "issue:1823", + "issue:1866", + "issue:1896", + "issue:2089", + "issue:2420", + "issue:2459", + "issue:2880", + "issue:3026", + "issue:3124", + "issue:3565", + "issue:3647", + "issue:3694", + "issue:3975", + "issue:4566", + "issue:4733", + "issue:4932", + "issue:4993", + "issue:5128", + "issue:5465", + "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:1866|issue:5465", + "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" + ], + "prepared_review_unit_hash": "ebbbf536c20e0c4afd1a9883e0090e2be8b4808c8c86f5244435ff2296bf5f32", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34386, + "estimated_input_tokens": 8597, + "estimated_eval_tokens": 17450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of Diffusers training/inference/example issues with superficial wording overlap. None of the soft edges look like true duplicates or the same code-path bug, so all are rejected. Issue 10823 is the best representative of the main cluster theme around fine-tuning scripts not producing inference-ready artifacts.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 10823 most directly and broadly states the core training-output problem: fine-tuning scripts not producing the files needed for inference.", + "canonical_pr_reason": null, + "best_issue_reason": "10823 is the clearest, most general issue in the set and best captures the shared theme of missing inference-ready outputs after fine-tuning.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1866", + "right": "issue:5465", + "accept": false, + "reason": "Both involve schedulers/img2img strength handling, but they describe different pipelines and failure modes; not the same underlying bug." + }, + { + "left": "issue:4993", + "right": "issue:6283", + "accept": false, + "reason": "Both mention missing/incorrect exports in SDXL-related code, but one is an import-structure issue and the other is a pipeline strength bug." + }, + { + "left": "issue:1672", + "right": "issue:867", + "accept": false, + "reason": "One is about wrong image size after ckpt-to-diffusers conversion; the other is GPU memory not being released in FastAPI." + }, + { + "left": "issue:4566", + "right": "issue:4733", + "accept": false, + "reason": "Both are resume-from-checkpoint training complaints, but they affect different scripts and error conditions." + }, + { + "left": "issue:5678", + "right": "issue:7722", + "accept": false, + "reason": "These are both attention-related, but one is higher-order-gradient instability in attention code and the other is an Animatediff+IPAdapter usage error." + }, + { + "left": "issue:1404", + "right": "issue:1896", + "accept": false, + "reason": "CLIP-guided SD and its dict/size error are unrelated failures; same broad feature area, not the same bug." + }, + { + "left": "issue:1823", + "right": "issue:2880", + "accept": false, + "reason": "A comment swap in depth2img is unrelated to a JAX colab not running." + }, + { + "left": "issue:2420", + "right": "issue:6277", + "accept": false, + "reason": "Both touch LoRA/xFormers training, but one is an xFormers attention failure and the other is broken gradients in a different example." + }, + { + "left": "issue:3026", + "right": "issue:6230", + "accept": false, + "reason": "Both are training-script runtime issues, but one is InstructPix2Pix single-GPU launch errors and the other is SDXL text-to-image OOM." + }, + { + "left": "issue:3694", + "right": "issue:7682", + "accept": false, + "reason": "Both mention setup/resource pain, but one is missing model files in a finetuning example and the other is multi-GPU behavior on weaker GPUs." + }, + { + "left": "issue:5578", + "right": "issue:9793", + "accept": false, + "reason": "A missing model_index.json load error is not the same as a progress bar update problem." + }, + { + "left": "issue:12078", + "right": "issue:9227", + "accept": false, + "reason": "Both are FLUX fine-tuning related, but one is a validation-input example issue and the other is a specific DreamBooth FLUX training problem." + }, + { + "left": "issue:11010", + "right": "issue:9270", + "accept": false, + "reason": "These both mention FLUX/LoRA support, but one is a Chroma architecture-support request and the other is incomplete LoRA support in SimpleTuner." + }, + { + "left": "issue:1445", + "right": "issue:852", + "accept": false, + "reason": "Legacy ONNX inpaint AttributeError and an MPS device_map crash are unrelated." + }, + { + "left": "issue:6183", + "right": "issue:9208", + "accept": false, + "reason": "Both are loading-from-file problems, but one is SDXL shape mismatch from_single_file and the other is controlnet model loading failure." + }, + { + "left": "issue:6561", + "right": "issue:6832", + "accept": false, + "reason": "Both are IP-Adapter related, but one is a missing config file path and the other is a tuple-vs-shape runtime error in a community pipeline." + }, + { + "left": "issue:7333", + "right": "issue:9873", + "accept": false, + "reason": "Image-to-video research pipeline request and OmniGen pipeline addition are different feature requests." + }, + { + "left": "issue:1807", + "right": "issue:3124", + "accept": false, + "reason": "A performance slowdown in inference is not the same as a model conversion failure." + }, + { + "left": "issue:5719", + "right": "issue:8898", + "accept": false, + "reason": "Both are file-selection/loading issues, but one is LoRA weight file precedence and the other is from_pretrained subfolder resolution." + }, + { + "left": "issue:2459", + "right": "issue:4932", + "accept": false, + "reason": "Both concern training/output artifacts, but one is xformers enablement in a LoRA script and the other is missing pytorch_model.bin after Dreambooth." + }, + { + "left": "issue:3565", + "right": "issue:7480", + "accept": false, + "reason": "OOM in text-to-image training and DeepFloyd_IF OOM are different workloads and failure contexts." + }, + { + "left": "issue:3975", + "right": "issue:5128", + "accept": false, + "reason": "A typo in an error message and an XLPipeline local safetensors load error are unrelated." + }, + { + "left": "issue:2089", + "right": "issue:3647", + "accept": false, + "reason": "DreamBooth AltDiffusion OOM and DreamBooth training with DeepFloyd are different memory issues in different models." + }, + { + "left": "issue:10823", + "right": "issue:8514", + "accept": false, + "reason": "One is about finetuning scripts not producing inference-ready files; the other is an EMAModel-caused parallel fine-tuning error in InstructP2P." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:2883", + "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:6870", + "issue:6894", + "issue:6911", + "issue:7333", + "issue:8955", + "issue:9051", + "issue:9343", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:2883|issue:7333", + "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" + ], + "prepared_review_unit_hash": "fa47994752972232acaa9163b5620cb65c8493e12aca061b43d8185eb541f0f0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34240, + "estimated_input_tokens": 8560, + "estimated_eval_tokens": 17376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like the same underlying bug or feature; most are only superficially similar by keywords (memory, LoRA, pipeline, Flux, etc.). The set is heterogeneous, so there is no strong duplicate cluster to collapse.", + "confidence": 0.93, + "canonical_issue_reason": "No true canonical issue emerges from this set because the items cover unrelated bugs and feature requests; if a representative is needed, issue 12348 is the clearest concrete runtime bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 12348 is the strongest standalone triage candidate: it is a narrow, reproducible tensor-mismatch bug with a specific pipeline and resolution-dependent failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2883", + "right": "issue:7333", + "accept": false, + "reason": "Different problems: a generic image-to-video pipeline request vs a specific tuning-free noise rectification research feature." + }, + { + "left": "issue:3812", + "right": "issue:6870", + "accept": false, + "reason": "Different scopes: missing config key for ControlNet vs missing enable_vae_tiling support in img2img/inpaint pipelines." + }, + { + "left": "issue:11408", + "right": "issue:9051", + "accept": false, + "reason": "Both mention Flux, but one is about set_adapters on compiled models and the other about batch inference support." + }, + { + "left": "issue:11014", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM reports, but they concern different scripts, model setups, and failure contexts." + }, + { + "left": "issue:2806", + "right": "issue:6911", + "accept": false, + "reason": "Unrelated: customized pipeline printing behavior vs a 3D model ignoring class labels." + }, + { + "left": "issue:4835", + "right": "issue:5395", + "accept": false, + "reason": "Both involve ControlNet/LoRA-like composition, but one is a MultiControlNet img2img bug and the other is PEFT LoRA combining." + }, + { + "left": "issue:12034", + "right": "issue:12216", + "accept": false, + "reason": "Both are quality complaints on different models; no shared code path or concrete identical failure mode is evident." + }, + { + "left": "issue:1188", + "right": "issue:2015", + "accept": false, + "reason": "A specific CLIPSeg+Stable Diffusion pipeline request is not the same as a categorical diffusion pipeline proposal." + }, + { + "left": "issue:1195", + "right": "issue:1538", + "accept": false, + "reason": "Memory-efficient attention with fp16 weights is unrelated to SD2 base support in StableDiffusionMegaPipeline." + }, + { + "left": "issue:3393", + "right": "issue:4386", + "accept": false, + "reason": "Both ask about LoRA conversion, but they are separate user questions with no evidence of the same bug or fix." + }, + { + "left": "issue:6008", + "right": "issue:6382", + "accept": false, + "reason": "Both mention LCM/IP-Adapter, but one is a failure with a specific face adapter combo and the other is an IP-adapter key error after SDXL LCM training." + }, + { + "left": "issue:9343", + "right": "issue:9717", + "accept": false, + "reason": "Different Flux loading failures: one involves mismatched sizes/low_cpu_mem_usage, the other a local fp8 transformer loader problem." + }, + { + "left": "issue:1717", + "right": "issue:5678", + "accept": false, + "reason": "Offline cache loading and higher-order-derivative attention/autograd are entirely different issues." + }, + { + "left": "issue:10226", + "right": "issue:12348", + "accept": false, + "reason": "Both are tensor mismatch complaints, but one is Dreambooth Flux+LoRA and the other is Wan image-to-video at certain resolutions." + }, + { + "left": "issue:1166", + "right": "issue:3886", + "accept": false, + "reason": "TPU model-saving hang during textual inversion is unrelated to distributed ddpm training timeout." + }, + { + "left": "issue:4584", + "right": "issue:4736", + "accept": false, + "reason": "These are separate SDXL LoRA training failures: checkpoint resume error vs OOM/invalid-cast during training." + }, + { + "left": "issue:11359", + "right": "issue:11374", + "accept": false, + "reason": "One is a feature request for faster LTX-Video inference, the other a request to add SkyReels-V2 support." + }, + { + "left": "issue:1188", + "right": "issue:1392", + "accept": false, + "reason": "CLIPSeg pipeline addition is unrelated to the generic Stable Diffusion 2 issue." + }, + { + "left": "issue:3235", + "right": "issue:4139", + "accept": false, + "reason": "Custom Diffusion weight loading with biases is not the same as precision casting in a custom diffusion attention processor." + }, + { + "left": "issue:3280", + "right": "issue:3289", + "accept": false, + "reason": "DeepFloyd scheduler compatibility and DeepFloyd super-resolution sizing bugs are different pipeline problems." + }, + { + "left": "issue:4450", + "right": "issue:6092", + "accept": false, + "reason": "Multi-text inversion not working is distinct from the generic LoRA example not training anything." + }, + { + "left": "issue:3487", + "right": "issue:6870", + "accept": false, + "reason": "Inpaint strength with EulerAncestral scheduler is unrelated to VAE tiling support." + }, + { + "left": "issue:3301", + "right": "issue:6894", + "accept": false, + "reason": "Dreambooth LoRA training not working and SDXL Dreambooth LoRA failing in A1111 are related only at a broad topic level, not the same bug." + }, + { + "left": "issue:4484", + "right": "issue:6639", + "accept": false, + "reason": "A vague SDXL Kohya LoRA quality complaint is not the same as different outputs from load_lora_weights vs manual loading." + }, + { + "left": "issue:8955", + "right": "issue:9667", + "accept": false, + "reason": "Both are loading errors, but they affect different text/transformer model paths and appear to be separate 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": 140, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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: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:6689", + "issue:6832", + "issue:6967", + "issue:6974", + "issue:7221", + "issue:7380", + "issue:8414", + "issue:8514", + "issue:8817", + "issue:8832", + "issue:9051", + "issue:9089", + "issue:9109", + "issue:9370", + "issue:9673", + "issue:9744", + "issue:9873", + "issue:9953" + ], + "soft_pairs": [ + "issue:6832|issue:8817", + "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" + ], + "prepared_review_unit_hash": "b674a134838130ad78956f558b8cad993f5dfb69d19d0a16ba1013fe206062f5", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33630, + "estimated_input_tokens": 8408, + "estimated_eval_tokens": 17072 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issue reports; only the two IP-Adapter FaceID reports look like the same underlying bug. No PRs are present.", + "confidence": 0.81, + "canonical_issue_reason": "issue:10925 is the broadest and most representative active issue in the set, centered on FLUX Dreambooth finetuning; it is a better anchor than narrower crash/error reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10925 is the strongest global representative for this cluster because it is broad, active, and on the main FLUX training path rather than a narrowly scoped symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6832", + "right": "issue:8817", + "accept": true, + "reason": "Both report IP Adapter FaceID failures; 8817 is a vague restatement of the same load/use problem described concretely in 6832." + }, + { + "left": "issue:3826", + "right": "issue:8414", + "accept": false, + "reason": "Different model/pipeline requests: Audio-Journey vs ConsistencyTTA. No same bug or change." + }, + { + "left": "issue:9744", + "right": "issue:9873", + "accept": false, + "reason": "Different feature additions for different models (Mochi video vs OmniGen image pipeline)." + }, + { + "left": "issue:11045", + "right": "issue:8832", + "accept": false, + "reason": "Different code paths: Dreambooth FLUX training load crash vs generic inference crash on pipe(prompt).images[0]." + }, + { + "left": "issue:9051", + "right": "issue:9089", + "accept": false, + "reason": "One is missing FluxPipeline in diffusers; the other is batch inference support. Not the same underlying issue." + }, + { + "left": "issue:11581", + "right": "issue:11627", + "accept": false, + "reason": "Both mention IP-Adapter/FLUX, but the concrete failure modes and target pipelines differ." + }, + { + "left": "issue:5465", + "right": "issue:9109", + "accept": false, + "reason": "Unrelated issues: DiffEdit inpaint_strength behavior vs torchvision nms import/runtime error." + }, + { + "left": "issue:11436", + "right": "issue:1931", + "accept": false, + "reason": "Both are dtype mismatch reports, but for different models and likely different code paths; too broad to merge." + }, + { + "left": "issue:2645", + "right": "issue:5254", + "accept": false, + "reason": "One is a mac/CUDA assertion failure; the other is multi-ControlNet feature support. Different problem entirely." + }, + { + "left": "issue:4419", + "right": "issue:7221", + "accept": false, + "reason": "Different symptoms and models: offset-noise inference mismatch vs noisy output from a specific checkpoint." + }, + { + "left": "issue:5606", + "right": "issue:9673", + "accept": false, + "reason": "LoRA alpha loading bug vs high CPU usage with multiple LoRAs; not the same defect." + }, + { + "left": "issue:7380", + "right": "issue:8414", + "accept": false, + "reason": "Different research/model requests with no shared bug or implementation target." + }, + { + "left": "issue:10925", + "right": "issue:12459", + "accept": false, + "reason": "Training Dreambooth FLUX dev CLIPTextModel vs batch inference throughput in FLUX.1-Kontext-dev; different stages and symptoms." + }, + { + "left": "issue:1475", + "right": "issue:3765", + "accept": false, + "reason": "Dreambooth/textual inversion data-class issue vs ControlNet training image artifact issue; unrelated." + }, + { + "left": "issue:3674", + "right": "issue:6277", + "accept": false, + "reason": "Same script family, but one is metadata.jsonl parsing and the other is broken gradients; distinct bugs." + }, + { + "left": "issue:8514", + "right": "issue:9953", + "accept": false, + "reason": "Different problems: EMAModel parallel fine-tuning error vs moving a quantized pipeline to CUDA." + }, + { + "left": "issue:2459", + "right": "issue:6974", + "accept": false, + "reason": "Different behaviors in different components: xformers attention in training script vs unloading textual inversion components." + }, + { + "left": "issue:1543", + "right": "issue:4790", + "accept": false, + "reason": "One is revision='fp16' handling in textual inversion; the other is round-trip conversion between formats." + }, + { + "left": "issue:1695", + "right": "issue:2606", + "accept": false, + "reason": "Both involve DeepSpeed, but one is multi-GPU Dreambooth support and the other is save_state hanging in a text-to-image LoRA script." + }, + { + "left": "issue:3086", + "right": "issue:556", + "accept": false, + "reason": "Unrelated: audio-to-image request vs seamless texture tiling output." + }, + { + "left": "issue:4304", + "right": "issue:5594", + "accept": false, + "reason": "Different SDXL LoRA topics: feature support vs memory savings. Not the same change." + }, + { + "left": "issue:5002", + "right": "issue:9370", + "accept": false, + "reason": "Different scheduler/API omission vs embedding forward signature mismatch." + }, + { + "left": "issue:4562", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion problems, but they reference different models/files and lack evidence of the same specific conversion bug." + }, + { + "left": "issue:3461", + "right": "issue:6967", + "accept": false, + "reason": "Performance/memory comparison vs prior-preservation shape mismatch; unrelated Dreambooth concerns." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge decisions are conservative. The one accepted pair (6832/8817) is a reasonable same-bug match, and the rejected pairs do not overclaim shared causality. No PRs are present, so the mergeability constraint is not an 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": 141, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "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:3420", + "issue:3432", + "issue:3803", + "issue:4236", + "issue:4686", + "issue:4892", + "issue:4932", + "issue:5509", + "issue:5516", + "issue:5607", + "issue:5857", + "issue:6201", + "issue:6382", + "issue:6435", + "issue:6686", + "issue:6726", + "issue:6839", + "issue:6974", + "issue:7347", + "issue:7960", + "issue:7982", + "issue:8472", + "issue:8560", + "issue:8788", + "issue:8950", + "issue:8955", + "issue:9208", + "issue:9527", + "issue:9876", + "issue:9914", + "issue:9933", + "issue:9979" + ], + "soft_pairs": [ + "issue:6382|issue:9876", + "issue:3420|issue:6974", + "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" + ], + "prepared_review_unit_hash": "51fa53ef098c27233a2216ce112d863f6f131589bd784ec67d7331275b36aaa9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33548, + "estimated_input_tokens": 8387, + "estimated_eval_tokens": 17030 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair is a safe duplicate merge; most are only superficially similar by subsystem or symptom. The closest pair is the prompt_embeds issues, but they still look like adjacent bugs in related pipelines rather than one exact defect. No PRs were present.", + "confidence": 0.84, + "canonical_issue_reason": "issue:6201 is the most concrete and actionable issue in the set: it describes a specific prompt_embeds/negative_prompt_embeds failure path in a core Stable Diffusion pipeline and is open for tracking.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6201 is the strongest overall triage candidate because it has a clear repro, a narrow code-path, and active discussion around a likely fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:9876", + "accept": false, + "reason": "Different problems: LoRA/IP-adapter training/trained-model usage vs VRAM not being released after LoRA training." + }, + { + "left": "issue:3420", + "right": "issue:6974", + "accept": false, + "reason": "Unrelated defects: ControlNet inpaint pipeline compatibility vs unload_textual_inversion leaving tokenizer/text encoder state behind." + }, + { + "left": "issue:1251", + "right": "issue:2107", + "accept": false, + "reason": "Both mention black images, but the triggers differ materially: MPS RePaintPipeline vs low-resolution image handling." + }, + { + "left": "issue:6435", + "right": "issue:9933", + "accept": false, + "reason": "Both mention width/height, but one is default initialization in ControlNet and the other is a missing API parameter in SD3 img2img." + }, + { + "left": "issue:2392", + "right": "issue:6201", + "accept": false, + "reason": "Closely related prompt_embeds failures, but they appear to be different pipeline code paths and error surfaces, so not the same underlying bug with enough confidence." + }, + { + "left": "issue:2674", + "right": "issue:5857", + "accept": false, + "reason": "Both are LoRA-related, but one is about missing safetensors dependency and the other is LCM LoRA behavior on AnimateDiff SDXL." + }, + { + "left": "issue:4236", + "right": "issue:6686", + "accept": false, + "reason": "Refiner text-encoder registration vs Dynamo compilation save/load performance are different issues despite both involving SDXL components." + }, + { + "left": "issue:10866", + "right": "issue:12147", + "accept": false, + "reason": "Different LoRA-loading failures for different model families (Lumina vs Wan2.2), not the same bug." + }, + { + "left": "issue:1310", + "right": "issue:1392", + "accept": false, + "reason": "K-Diffusion integration issue vs Stable Diffusion 2 feature request; no shared concrete defect." + }, + { + "left": "issue:4892", + "right": "issue:6726", + "accept": false, + "reason": "TokenFlow video-editing pipeline vs CCSR super-resolution pipeline are distinct changes with no evidence of a shared code-path bug." + }, + { + "left": "issue:8560", + "right": "issue:8950", + "accept": false, + "reason": "Both are training-related, but one is SD3 OOM and the other is an SD3 LoRA bug; different failure modes." + }, + { + "left": "issue:222", + "right": "issue:3432", + "accept": false, + "reason": "Generic training RuntimeError vs CPU half-precision convolution limitation; different underlying causes." + }, + { + "left": "issue:10514", + "right": "issue:8788", + "accept": false, + "reason": "Different compatibility limits: Sana 4k resolution binning/sample_size constraint vs SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:11370", + "right": "issue:7982", + "accept": false, + "reason": "Hunyuan video conversion deserialization error vs from_pipe with MultiControlNetModel; unrelated functionality." + }, + { + "left": "issue:2728", + "right": "issue:4686", + "accept": false, + "reason": "Both involve loading weights, but one is safetensors loading in UNet and the other is loading a saved UpscalePipeline; not the same bug." + }, + { + "left": "issue:7347", + "right": "issue:7960", + "accept": false, + "reason": "Both are training failures, but one is a LoRA training regression and the other is multi-GPU SDXL training failure." + }, + { + "left": "issue:5509", + "right": "issue:5607", + "accept": false, + "reason": "Different tensor-shape mismatch contexts: image batch size vs prompt batch size, and a separate tensor dimension mismatch runtime error." + }, + { + "left": "issue:3803", + "right": "issue:8472", + "accept": false, + "reason": "Multi-GPU LoRA training issue vs general question about pre-training LoRA with other modules; not the same bug/change." + }, + { + "left": "issue:9527", + "right": "issue:9979", + "accept": false, + "reason": "Different dtype/channel problems in controlnet/Flux img2img paths; same broad area, but not one concrete defect." + }, + { + "left": "issue:3296", + "right": "issue:5516", + "accept": false, + "reason": "Dreambooth checkpoint save/load with text_encoder vs LoRA not functioning with t2i adapters; different training/integration bugs." + }, + { + "left": "issue:4932", + "right": "issue:6974", + "accept": false, + "reason": "Dreambooth output-file issue vs unloading textual inversion components; unrelated behaviors." + }, + { + "left": "issue:8955", + "right": "issue:9914", + "accept": false, + "reason": "Both concern loading text models/LoRAs, but one is a CLIPTextModel state_dict mismatch and the other is Flux Xlabs LoRA loading with a specific fix proposal." + }, + { + "left": "issue:6839", + "right": "issue:9208", + "accept": false, + "reason": "Both are from_single_file loading problems, but for different model types and failure surfaces; not enough evidence of the same bug." + }, + { + "left": "issue:1985", + "right": "issue:2783", + "accept": false, + "reason": "Embeddings loading on Stable Diffusion vs a request for a ControlNet img2img/inpainting pipeline 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": 142, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10107", + "issue:11136", + "issue:11208", + "issue:11489", + "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:4303", + "issue:4307", + "issue:4354", + "issue:4386", + "issue:4453", + "issue:4580", + "issue:4936", + "issue:5594", + "issue:5647", + "issue:5980", + "issue:6131", + "issue:6176", + "issue:6392", + "issue:6615", + "issue:6734", + "issue:6809", + "issue:6911", + "issue:7197", + "issue:7348", + "issue:7357", + "issue:7420", + "issue:8450", + "issue:8469", + "issue:8543", + "issue:9045", + "issue:9210", + "issue:9393" + ], + "soft_pairs": [ + "issue:6131|issue:8469", + "issue:10107|issue:8543", + "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" + ], + "prepared_review_unit_hash": "0dced0fd4b6fedf182bf7f794d4bd3afa6af877e29db2b1f2183174b05d7e763", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33413, + "estimated_input_tokens": 8354, + "estimated_eval_tokens": 16964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues; a few duplicates cluster around inpaint strength=1 noise and LoRA weight loading, but the rest are distinct bugs/features.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 8450 is the most complete current report for the SDXL inpaint strength=1 noise regression, and it matches the same inpaint/scheduler symptom family as the related duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "8450 is the strongest standalone canonical issue because it has the clearest title, active report, and broadest description of the inpaint bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6131", + "right": "issue:8469", + "accept": false, + "reason": "Both are about IP-Adapter-related failures, but they describe different models and symptoms, so they are not the same concrete bug." + }, + { + "left": "issue:10107", + "right": "issue:8543", + "accept": false, + "reason": "Both mention gradient checkpointing in training examples, but one is about validation-time execution and the other is a failure in the SD3 dreambooth example; not the same bug." + }, + { + "left": "issue:3619", + "right": "issue:6911", + "accept": false, + "reason": "Different subsystems and failures: CrossFrameAttention in Text2Video-Zero versus class labels in UNetConditional3DModel." + }, + { + "left": "issue:4307", + "right": "issue:4580", + "accept": false, + "reason": "Unrelated problems: local_files_only loading versus UniPC scheduling with karras sigmas." + }, + { + "left": "issue:7348", + "right": "issue:8450", + "accept": true, + "reason": "Both report inpaint pipelines producing weird/noisy results at strength=1 with EulerAncestralDiscreteScheduler-like behavior, so they look like the same underlying bug." + }, + { + "left": "issue:6809", + "right": "issue:9045", + "accept": false, + "reason": "Both involve PEFT/LoRA-related stacks, but one is a LoRA loading regression and the other is a CUDA device conversion issue in SD3; different code paths." + }, + { + "left": "issue:11136", + "right": "issue:11208", + "accept": false, + "reason": "Different feature/support limitations in different pipelines; no shared concrete bug." + }, + { + "left": "issue:2392", + "right": "issue:6734", + "accept": false, + "reason": "Distinct failures: prompt_embeds validation in img2img versus a tokenizer NoneType error." + }, + { + "left": "issue:4061", + "right": "issue:4303", + "accept": false, + "reason": "Both are model-loading issues around SDXL, but one is an SDXL LoRA load error and the other is a Flax pipeline crash loading SDXL; not the same bug." + }, + { + "left": "issue:3487", + "right": "issue:5647", + "accept": true, + "reason": "Both describe poor/incorrect inpaint results when strength is 1 or near 1, with EulerAncestralDiscreteScheduler implicated; same underlying inpaint bug." + }, + { + "left": "issue:12612", + "right": "issue:13258", + "accept": false, + "reason": "Different Wan issues: NaNs in latents versus a missing image-to-video model/support request." + }, + { + "left": "issue:1574", + "right": "issue:2465", + "accept": false, + "reason": "One is a training failure on low-memory Linux hardware, the other is a request for a reproducible recipe." + }, + { + "left": "issue:1350", + "right": "issue:2784", + "accept": false, + "reason": "Completely different tasks: object detection research versus a feature request for text-to-video dreambooth support." + }, + { + "left": "issue:4354", + "right": "issue:6615", + "accept": false, + "reason": "Both involve single-file loading, but one is about the returned pipeline type and the other about local YAML config handling; not the same bug." + }, + { + "left": "issue:4386", + "right": "issue:5594", + "accept": false, + "reason": "Unrelated SDXL LoRA conversion discussion versus memory usage for LoRA fine-tuning." + }, + { + "left": "issue:4936", + "right": "issue:6392", + "accept": false, + "reason": "Both concern Dreambooth/LoRA, but one is resume behavior and the other is custom LoRA loading; different failures." + }, + { + "left": "issue:7197", + "right": "issue:9210", + "accept": false, + "reason": "Different training-script errors: a resume KeyError versus argument validation for image_column." + }, + { + "left": "issue:11489", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA training reports, but one is a training-time error and the other is a model-saving failure; not clearly the same bug." + }, + { + "left": "issue:1367", + "right": "issue:2904", + "accept": false, + "reason": "Scheduler config saving and AudioLDM pipeline scheduler NoneType are different issues." + }, + { + "left": "issue:3264", + "right": "issue:3537", + "accept": false, + "reason": "Different conversion utilities for different model types; no shared bug." + }, + { + "left": "issue:4453", + "right": "issue:5980", + "accept": false, + "reason": "One is SDXL LoRA conversion to safetensors for webui, the other is ControlNet SDXL model file-format discussion." + }, + { + "left": "issue:6176", + "right": "issue:6392", + "accept": true, + "reason": "Both are LoRA weight loading failures around `load_lora_weights` / dreambooth LoRA outputs, so they plausibly share the same loading bug." + }, + { + "left": "issue:7357", + "right": "issue:7420", + "accept": false, + "reason": "Performance regression with compile/fuse_loras is not the same as being unable to use torch.compile at all." + }, + { + "left": "issue:13053", + "right": "issue:13067", + "accept": false, + "reason": "Separate feature requests for different pipelines/models." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted soft pairs are plausible duplicates based on closely matching titles/symptoms, while the rejected pairs are mostly clearly distinct bugs or feature requests. No mergeability issues apply since there are no 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": 143, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1005", + "issue:10147", + "issue:10223", + "issue:10782", + "issue:1082", + "issue:10954", + "issue:10969", + "issue:11006", + "issue:11830", + "issue:12052", + "issue:1249", + "issue:1802", + "issue:1931", + "issue:2549", + "issue:3390", + "issue:3454", + "issue:3975", + "issue:4073", + "issue:4236", + "issue:4354", + "issue:4398", + "issue:4402", + "issue:4724", + "issue:4885", + "issue:5023", + "issue:5633", + "issue:5719", + "issue:5875", + "issue:5897", + "issue:5960", + "issue:6252", + "issue:6278", + "issue:6382", + "issue:6666", + "issue:7420", + "issue:746", + "issue:761", + "issue:794", + "issue:7948", + "issue:7991", + "issue:8320", + "issue:8532", + "issue:8589", + "issue:8970", + "issue:9045", + "issue:9156", + "issue:9341", + "issue:9927" + ], + "soft_pairs": [ + "issue:4885|issue:8532", + "issue:1249|issue:4073", + "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" + ], + "prepared_review_unit_hash": "3d0c1b429d2f35506697df6165d3b2796f233e28f07a45808f155b1d0966474b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "The set is mostly a collection of unrelated issue reports across different models/pipelines; the soft-similarity pairs do not describe the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4885", + "right": "issue:8532", + "accept": false, + "reason": "Different problems: LoRA weights not loading in an SDXL ControlNet pipeline vs memory growth while loading LoRA weights." + }, + { + "left": "issue:1249", + "right": "issue:4073", + "accept": false, + "reason": "Different failure modes in different components: ONNX pipeline device attribute error vs DeepFloyd IF safety checker astype error." + }, + { + "left": "issue:3454", + "right": "issue:6278", + "accept": false, + "reason": "Both are training-script failures, but they concern different scripts and likely different causes." + }, + { + "left": "issue:10954", + "right": "issue:9341", + "accept": false, + "reason": "Different FLUX LoRA loading issues: one is a ComfyUI-compatible LoRA failing to load, the other is text_model LoRA incompatibility." + }, + { + "left": "issue:4724", + "right": "issue:6252", + "accept": false, + "reason": "Different pipelines and symptoms: SDXL Img2Img mismatch vs LoRA weights not loaded from checkpoint." + }, + { + "left": "issue:5897", + "right": "issue:9045", + "accept": false, + "reason": "Both mention device mismatches, but one is LoRA training and the other is SD3 pipeline conversion with accelerate/peft." + }, + { + "left": "issue:7420", + "right": "issue:8589", + "accept": false, + "reason": "Unrelated topics: torch.compile support vs SD3 DreamBooth prior preservation." + }, + { + "left": "issue:5960", + "right": "issue:9927", + "accept": false, + "reason": "Both involve image/ControlNet issues, but one is invalid cast warnings during training and the other is a HeaderTooLarge error." + }, + { + "left": "issue:10147", + "right": "issue:7948", + "accept": false, + "reason": "Different feature requests: MV-Adapter multi-view generation vs MuLan language adapter support." + }, + { + "left": "issue:11830", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black output, but they are different pipelines and different dtype/device contexts." + }, + { + "left": "issue:3975", + "right": "issue:794", + "accept": false, + "reason": "A typo in an error message is not the same as a general request for better unsupported-class errors." + }, + { + "left": "issue:4354", + "right": "issue:4402", + "accept": false, + "reason": "Same API area, but different incorrect from_single_file behavior and likely different bugs." + }, + { + "left": "issue:5023", + "right": "issue:5875", + "accept": false, + "reason": "Different import/conversion issues for different models; no clear shared underlying defect." + }, + { + "left": "issue:5633", + "right": "issue:7991", + "accept": false, + "reason": "Different bug contexts: a specific transformer_temporal.py bug vs a basic training tutorial issue." + }, + { + "left": "issue:10223", + "right": "issue:6382", + "accept": false, + "reason": "One asks where to obtain a LoRA ID; the other reports an IP adapter key error after training." + }, + { + "left": "issue:1005", + "right": "issue:746", + "accept": false, + "reason": "Different generations of pipeline constraints: timestep count vs ONNX revision loading." + }, + { + "left": "issue:1802", + "right": "issue:1931", + "accept": false, + "reason": "Related to UNet inputs and float16 dtype, but the concrete failures are different." + }, + { + "left": "issue:11006", + "right": "issue:12052", + "accept": false, + "reason": "Both involve Wan models and quantization/offloading, but one is video output corruption and the other is cross-device tensor multiplication." + }, + { + "left": "issue:10782", + "right": "issue:8320", + "accept": false, + "reason": "Different issues around Lumina Image 2.0 vs from_single_file attribute handling." + }, + { + "left": "issue:1082", + "right": "issue:761", + "accept": false, + "reason": "Both are DreamBooth training errors, but the concrete runtime failures and triggers differ." + }, + { + "left": "issue:10969", + "right": "issue:9156", + "accept": false, + "reason": "Different Flux training problems: zero3 weight dimensionality vs CUDA OOM." + }, + { + "left": "issue:2549", + "right": "issue:4236", + "accept": false, + "reason": "Both mention model conditioning, but one is SD 2.0 UNet incompatibility and the other is SDXL refiner text encoder registration." + }, + { + "left": "issue:3390", + "right": "issue:5719", + "accept": false, + "reason": "Loading local safetensors is unrelated to prioritizing LoRA weight filenames." + }, + { + "left": "issue:4398", + "right": "issue:6666", + "accept": false, + "reason": "Both mention black images, but they are different pipelines and likely different root 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": 144, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10492", + "issue:10715", + "issue:10743", + "issue:11033", + "issue:11209", + "issue:11224", + "issue:11436", + "issue:11489", + "issue:11791", + "issue:12673", + "issue:1434", + "issue:1672", + "issue:1695", + "issue:2036", + "issue:2156", + "issue:2507", + "issue:3296", + "issue:4185", + "issue:4680", + "issue:4808", + "issue:4912", + "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:9241", + "issue:9297", + "issue:9602" + ], + "soft_pairs": [ + "issue:4680|issue:692", + "issue:4912|issue:9241", + "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" + ], + "prepared_review_unit_hash": "230ce9483716604565ea8f3ab702093bcdac30aa311819ff21efb08bda958fcb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33453, + "estimated_input_tokens": 8364, + "estimated_eval_tokens": 16984 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of issue reports mostly about LoRA loading, offloading, and training/runtime errors. The titles are broadly similar but the underlying bugs differ, so I do not see a strong duplicate set. No PRs are present.", + "confidence": 0.43, + "canonical_issue_reason": "issue:11209 is the cleanest anchor: it is an open, directly user-facing LoRA loading failure and its duplicate-looking twin (11224) suggests this is the most representative item in the LoRA-loading subset.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11209 is the best single representative of the cluster\u2019s most repeated theme (LoRA loading errors), while still being specific enough to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4680", + "right": "issue:692", + "accept": false, + "reason": "Both are general fine-tuning topics, but one is SDXL inpainting and the other is a generic request for a diffusion fine-tuning example; not the same bug/change." + }, + { + "left": "issue:4912", + "right": "issue:9241", + "accept": false, + "reason": "Both involve model conversion scripts, but they target different artifacts and workflows (SDXL checkpoints vs XLab LoRA conversion)." + }, + { + "left": "issue:5821", + "right": "issue:7306", + "accept": false, + "reason": "These describe different runtime problems: a CUDA backward/training failure versus a float16 dtype issue in a specific SDXL pipeline." + }, + { + "left": "issue:692", + "right": "issue:752", + "accept": false, + "reason": "A generic fine-tuning example request is not the same as support for multiple concepts/classes in Dreambooth." + }, + { + "left": "issue:7263", + "right": "issue:9202", + "accept": false, + "reason": "Both mention adapter-related pipeline issues, but they are different code paths and failure modes (attention slicing vs FaceID Plus V2 IP-Adapter)." + }, + { + "left": "issue:8557", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 training issues, but one is token-limit related and the other is a missing config field; not the same defect." + }, + { + "left": "issue:5529", + "right": "issue:7146", + "accept": false, + "reason": "One is a bug in a specific SDXL training script, the other is a CUDA OOM during SDXL fine-tuning; different failure classes." + }, + { + "left": "issue:11033", + "right": "issue:3296", + "accept": false, + "reason": "Different loading/saving problems in different scripts: single-file UNet loading versus checkpoint save/load with text encoder." + }, + { + "left": "issue:4808", + "right": "issue:5630", + "accept": false, + "reason": "A failing SHAP-E integration test and an SDXL img2img scheduler artifact issue are unrelated." + }, + { + "left": "issue:10492", + "right": "issue:11209", + "accept": false, + "reason": "Both involve LoRA-related terminology, but quantize/fuse errors are not the same as a LoRA loading error." + }, + { + "left": "issue:10492", + "right": "issue:11224", + "accept": false, + "reason": "Same as the other pair: quantization/fusion and LoRA loading are different code paths." + }, + { + "left": "issue:1434", + "right": "issue:2507", + "accept": false, + "reason": "One is an OOM when upscaling, the other is a performance complaint about GPU safetensor loading; different problems." + }, + { + "left": "issue:11489", + "right": "issue:5274", + "accept": false, + "reason": "Both are training errors, but they concern different models and symptoms; no shared concrete bug is evident." + }, + { + "left": "issue:10715", + "right": "issue:8970", + "accept": false, + "reason": "Both are black-image reports for Kolors, but on different backends (ROCm vs MPS) and without evidence of the same underlying code-path bug." + }, + { + "left": "issue:10743", + "right": "issue:9156", + "accept": false, + "reason": "Zero-3 support for FLUX training and FLUX LoRA OOM are related only at a broad subsystem level, not the same fix." + }, + { + "left": "issue:1695", + "right": "issue:2156", + "accept": false, + "reason": "Multi-GPU/deepspeed training and CPU-only training are opposite deployment issues, not duplicates." + }, + { + "left": "issue:11436", + "right": "issue:8955", + "accept": false, + "reason": "A dtype mismatch during HiDream inference is unrelated to a CLIPTextModel state_dict loading error." + }, + { + "left": "issue:5575", + "right": "issue:9602", + "accept": false, + "reason": "A LoRA hidden-size configuration question and an adapter-name lookup error are distinct issues." + }, + { + "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 pipeline incompatibility with record_stream=True; not mergeable as one bug." + }, + { + "left": "issue:6906", + "right": "issue:8543", + "accept": false, + "reason": "Both are broken training examples, but they affect different models and failures (generic LoRA Dreambooth vs SD3 gradient checkpointing)." + }, + { + "left": "issue:7082", + "right": "issue:7147", + "accept": false, + "reason": "These are separate import errors for different missing symbols, so they are not the same defect." + }, + { + "left": "issue:9142", + "right": "issue:9297", + "accept": false, + "reason": "Both are about multiple adapters/controlnets, but one is a type/error loading controlnets and the other is linear slowdown when loading many LoRAs." + }, + { + "left": "issue:3296", + "right": "issue:7619", + "accept": false, + "reason": "Checkpoint save/load with text_encoder and a channel-count mismatch in Dreambooth are different bugs." + }, + { + "left": "issue:2036", + "right": "issue:6107", + "accept": false, + "reason": "An OSError for stable-diffusion-v1-4 and an IP-Adapter deployment issue on AWS EC2 are unrelated." + }, + { + "left": "issue:1672", + "right": "issue:4185", + "accept": false, + "reason": "Checkpoint conversion producing wrong image size and SDXL ControlNet black images 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": 145, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10054", + "issue:10210", + "issue:10227", + "issue:10925", + "issue:10928", + "issue:11023", + "issue:11127", + "issue:11258", + "issue:11422", + "issue:11907", + "issue:1214", + "issue:1363", + "issue:1917", + "issue:2107", + "issue:2577", + "issue:2674", + "issue:3284", + "issue:3442", + "issue:3487", + "issue:3871", + "issue:3901", + "issue:4255", + "issue:4307", + "issue:4349", + "issue:4704", + "issue:4728", + "issue:4756", + "issue:4840", + "issue:5014", + "issue:5254", + "issue:5515", + "issue:5605", + "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:9202", + "issue:9514", + "issue:9841", + "issue:9856" + ], + "soft_pairs": [ + "issue:10210|issue:10227", + "issue:1214|issue:4840", + "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" + ], + "prepared_review_unit_hash": "a5924d2a02b65435e2d42bed475e1e3b8196a2a8c96e6647c16654bb96c95ca3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "The items are a heterogeneous set of unrelated bugs and feature requests; the soft-similarity links are mostly superficial. None of the candidate pairs look like the same underlying issue or change, so they should remain separate.", + "confidence": 0.95, + "canonical_issue_reason": "If a single anchor is needed, issue 6054 is the most canonical because it is a narrowly scoped, concrete scheduler bug with a clear failure mode; however, this cluster is not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6054 is the best issue candidate for triage because it is the clearest and most actionable bug report among the set, but it does not represent the others well.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10210", + "right": "issue:10227", + "accept": false, + "reason": "Different problems: img2img output similarity vs a LoRA feature-size NotImplementedError; same broad model area only." + }, + { + "left": "issue:1214", + "right": "issue:4840", + "accept": false, + "reason": "Both mention precision, but one is CLIPTextModel half precision and the other is FlaxAutoencoderKL checkpoint loading; not the same bug." + }, + { + "left": "issue:1363", + "right": "issue:4307", + "accept": false, + "reason": "Scheduler error in an ONNX community pipeline vs local_files_only pretrained loading behavior; unrelated code paths." + }, + { + "left": "issue:10925", + "right": "issue:9514", + "accept": false, + "reason": "Dreambooth finetuning on FLUX CLIPTextModel is not the same as loading LoRA weights after fp8 quantization." + }, + { + "left": "issue:3284", + "right": "issue:4704", + "accept": false, + "reason": "Different training scripts and failures: accelerate dreambooth_lora vs custom diffusion script failure." + }, + { + "left": "issue:11907", + "right": "issue:9202", + "accept": false, + "reason": "Flux scheduler incompatibility is unrelated to SDXL PAG pipeline FaceID Plus V2 adapter support." + }, + { + "left": "issue:1917", + "right": "issue:5605", + "accept": false, + "reason": "One is a request for more integration tests; the other is per-image caption support for SDXL dreambooth." + }, + { + "left": "issue:2674", + "right": "issue:771", + "accept": false, + "reason": "Safetensors requirement issue vs BF16 dreambooth precision issue; different layers of the stack." + }, + { + "left": "issue:7243", + "right": "issue:7948", + "accept": false, + "reason": "Both are model-related proposals, but one is ResAdapter and the other is MuLan language adaptation; not duplicates." + }, + { + "left": "issue:2577", + "right": "issue:3442", + "accept": false, + "reason": "DDIMInverseScheduler not working is unrelated to textual inversion token-dimension mismatch." + }, + { + "left": "issue:3871", + "right": "issue:4728", + "accept": false, + "reason": "Both involve training resume, but one is a checkpoint resume error and the other is a GPU OOM on resume; not the same defect." + }, + { + "left": "issue:11023", + "right": "issue:7616", + "accept": false, + "reason": "Both are image-quality complaints, but the concrete symptoms and pipelines differ: blurry custom pipeline vs low-denoise artifacts." + }, + { + "left": "issue:11127", + "right": "issue:11258", + "accept": false, + "reason": "Both involve single-file loading, but they target different models and failure modes (FLUX vs LTX)." + }, + { + "left": "issue:6323", + "right": "issue:9856", + "accept": false, + "reason": "TensorRT guidance_scale attribute failure is unrelated to distributed port collision during launch." + }, + { + "left": "issue:10928", + "right": "issue:3901", + "accept": false, + "reason": "Missing diffusion_pytorch_model.fp16.bin in a model directory is not the same as missing requirements.txt." + }, + { + "left": "issue:6911", + "right": "issue:8738", + "accept": false, + "reason": "UNetConditional3DModel class-label handling and SD3Transformer2DModel configuration are different model issues." + }, + { + "left": "issue:8309", + "right": "issue:8414", + "accept": false, + "reason": "Both are distillation-related feature requests, but one is conditional diffusion distillation and the other is text-to-audio consistency distillation." + }, + { + "left": "issue:10054", + "right": "issue:6054", + "accept": false, + "reason": "Both touch EulerDiscreteScheduler, but one is a test parameter bug and the other is torch.from_numpy misuse in set_timesteps; not the same defect." + }, + { + "left": "issue:4756", + "right": "issue:5014", + "accept": false, + "reason": "SDXL dreambooth example support and poor dreambooth LoRA results are different issues with different scopes." + }, + { + "left": "issue:5254", + "right": "issue:7180", + "accept": false, + "reason": "Multi-ControlNet support request is unrelated to a ControlNet image2image pipeline CPU offload failure." + }, + { + "left": "issue:11422", + "right": "issue:9841", + "accept": false, + "reason": "Validation prompt crash in HiDream LoRA training is different from the use_dora=False TypeError in DreamBooth SDXL LoRA training." + }, + { + "left": "issue:2107", + "right": "issue:4255", + "accept": false, + "reason": "Lower-than-512 resolution glitches and generally worse-than-webui results are too broad to be the same bug." + }, + { + "left": "issue:3487", + "right": "issue:6749", + "accept": false, + "reason": "Poor inpaint results with a scheduler vs inability to replicate an InstantID community example; different workflows and symptoms." + }, + { + "left": "issue:4349", + "right": "issue:5515", + "accept": false, + "reason": "Missing text_encoder in an upscale pipeline and missing scheduler in an LCM pipeline are analogous but distinct initialization 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": 146, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3218", + "issue:3379", + "issue:3405", + "issue:4206", + "issue:4241", + "issue:4726", + "issue:4885", + "issue:540", + "issue:5433", + "issue:5617", + "issue:5846", + "issue:5925", + "issue:5972", + "issue:6354", + "issue:6368", + "issue:6996", + "issue:7133", + "issue:7146", + "issue:7197", + "issue:752", + "issue:7593", + "issue:7690", + "issue:7793", + "issue:8589", + "issue:8879", + "issue:9091", + "issue:9178", + "issue:9556", + "issue:9558", + "issue:9630", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:3218|issue:5617", + "issue:8879|issue:9091", + "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" + ], + "prepared_review_unit_hash": "3e40140fe98cae51726c5afbd5e953561b5b28c7d1f37240abcb24f3481758eb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34639, + "estimated_input_tokens": 8660, + "estimated_eval_tokens": 17576 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most items are separate training/runtime issues across different models or pipelines. None of the soft candidate pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits the cluster well; if one must be chosen, issue #10055 is the broadest representative of the training-script/controlnet theme, but the rest of the items span unrelated failures.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #10055 is the closest broad anchor because it is a general ControlNet training-script failure, but it is not a strong canonical for the whole set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3218", + "right": "issue:5617", + "accept": false, + "reason": "Both involve torch.compile/ControlNet, but one is graph-breaks in attention blocks and the other is a save/load failure after compilation; different code paths and symptoms." + }, + { + "left": "issue:8879", + "right": "issue:9091", + "accept": false, + "reason": "Both mention torch.compile, but one is an SDXL cudagraph failure and the other is a VAE decoder compile-support issue for SD 1.5; not the same bug." + }, + { + "left": "issue:10066", + "right": "issue:6368", + "accept": false, + "reason": "Unpack error in self.attn is unrelated to an unsupported LoRA checkpoint layer name during loading." + }, + { + "left": "issue:10282", + "right": "issue:12157", + "accept": false, + "reason": "Shape mismatch for x_embedder weights is unrelated to the Qwen training TypeError about a non-iterable torch.device." + }, + { + "left": "issue:1883", + "right": "issue:540", + "accept": false, + "reason": "These are both memory/training-related, but one is VAE gradient checkpointing support and the other is moving only the UNet to GPU; different feature requests." + }, + { + "left": "issue:3379", + "right": "issue:7690", + "accept": false, + "reason": "Checkpoint-loading failure and tokenizer-loading failure are unrelated." + }, + { + "left": "issue:5433", + "right": "issue:9556", + "accept": false, + "reason": "SDXL scheduler artifacts are a generation-quality issue, while rslora saved-model problems are a LoRA serialization/training issue." + }, + { + "left": "issue:9667", + "right": "issue:9717", + "accept": false, + "reason": "Both are Flux-related, but one is a local transformer model load error and the other is a Docker image error; too different to be the same bug." + }, + { + "left": "issue:1617", + "right": "issue:3175", + "accept": false, + "reason": "Missing CLI arguments for a script is not the same as a multi-face DreamBooth training issue." + }, + { + "left": "issue:4726", + "right": "issue:7593", + "accept": false, + "reason": "Incorrect callback typing and missing image_projection_layers on None are unrelated pipeline API bugs." + }, + { + "left": "issue:4885", + "right": "issue:7793", + "accept": false, + "reason": "Both concern LoRA with ControlNet/DeepFloyd pipelines, but one is loading LoRA weights and the other is unloading them; not the same code-path failure." + }, + { + "left": "issue:7197", + "right": "issue:9558", + "accept": false, + "reason": "Resume-from-checkpoint dataset key error is unrelated to a black validation image in TensorBoard." + }, + { + "left": "issue:10178", + "right": "issue:10722", + "accept": false, + "reason": "3D block dimension mismatch and DreamBooth prior-preservation tensor mismatch are different model/training paths." + }, + { + "left": "issue:5972", + "right": "issue:9630", + "accept": false, + "reason": "Documentation for Min-SNR weighting is unrelated to a runtime error in flux-controlnet when num_single_layers=0." + }, + { + "left": "issue:10055", + "right": "issue:8589", + "accept": false, + "reason": "Both are SD3 training issues, but one is a ControlNet training script failure and the other is DreamBooth prior-preservation support; different training flows." + }, + { + "left": "issue:12458", + "right": "issue:13140", + "accept": false, + "reason": "A batch inference feature request/problem is not the same as a TypeError in the Qwen Edit pipelines." + }, + { + "left": "issue:5925", + "right": "issue:6354", + "accept": false, + "reason": "Both are LoRA feature requests, but one is about ZipLora/multi-LoRA inference and the other is about adding LoRA support to ControlNet." + }, + { + "left": "issue:3379", + "right": "issue:7133", + "accept": false, + "reason": "Intermediate checkpoint loading and SDXL text-encoder size mismatch on resume are different checkpoint/resume bugs." + }, + { + "left": "issue:10392", + "right": "issue:9178", + "accept": false, + "reason": "Flux-dev FP8 inference with a specific LoRA is not the same as PEFT target-module errors during Flux LoRA training." + }, + { + "left": "issue:1617", + "right": "issue:5846", + "accept": false, + "reason": "Required-arguments argparse error and resume_from_checkpoint failure are unrelated." + }, + { + "left": "issue:2695", + "right": "issue:3101", + "accept": false, + "reason": "TensorBoard validation failure in ControlNet training is not the same as a generic ControlNet training example error." + }, + { + "left": "issue:3405", + "right": "issue:4206", + "accept": false, + "reason": "Both are ControlNet training bugs, but one is generic and the other is specifically main-branch SDXL training; not enough evidence they are the same defect." + }, + { + "left": "issue:13079", + "right": "issue:7146", + "accept": false, + "reason": "OOM in a Flux for-loop with changing images is not the same as SDXL fine-tuning OOM." + }, + { + "left": "issue:2392", + "right": "issue:6996", + "accept": false, + "reason": "These are both NoneType-related pipeline errors, but they arise from different conditionals and arguments (`prompt` vs `added_cond_kwargs`)." + }, + { + "left": "issue:4241", + "right": "issue:752", + "accept": false, + "reason": "Both are feature requests about fine-tuning, but unidiffusers LoRA support and DreamBooth multi-concept support are different capabilities." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10049", + "issue:10227", + "issue:10540", + "issue:10653", + "issue:10937", + "issue:11241", + "issue:11435", + "issue:11749", + "issue:1185", + "issue:11864", + "issue:13104", + "issue:1375", + "issue:1541", + "issue:175", + "issue:2214", + "issue:2668", + "issue:3296", + "issue:3379", + "issue:3468", + "issue:3765", + "issue:4000", + "issue:4107", + "issue:4324", + "issue:4530", + "issue:455", + "issue:4754", + "issue:5022", + "issue:5441", + "issue:5558", + "issue:5661", + "issue:5811", + "issue:6139", + "issue:6218", + "issue:6574", + "issue:6661", + "issue:7082", + "issue:7136", + "issue:7357", + "issue:760", + "issue:776", + "issue:7785", + "issue:8729", + "issue:8915", + "issue:9142", + "issue:9200", + "issue:954", + "issue:9822", + "issue:988" + ], + "soft_pairs": [ + "issue:455|issue:760", + "issue:5661|issue:9200", + "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" + ], + "prepared_review_unit_hash": "8afa8dba3ecf739e3138b925e5f2144494a2d2f5a58ae27c05bd7ebd88cc4ebf", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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: most items are unrelated import errors, training regressions, scheduler issues, or feature requests. None of the soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong canonical candidate; the items do not converge on one concrete bug or feature area closely enough to represent a duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:455", + "right": "issue:760", + "accept": false, + "reason": "Both involve MPS, but one is an indexing NotImplementedError and the other is incorrect StableDiffusion output; different failures and code paths." + }, + { + "left": "issue:5661", + "right": "issue:9200", + "accept": false, + "reason": "An import-name error for PreTrainedTokenizer is unrelated to a ControlNet dtype error." + }, + { + "left": "issue:4530", + "right": "issue:6574", + "accept": false, + "reason": "Image artifacts in SDXL refiner and a floating-point warning in SVD scheduling are different problems." + }, + { + "left": "issue:4107", + "right": "issue:8729", + "accept": false, + "reason": "Both mention training quality, but one is LoRA noise/quality loss and the other is unexpected validation images in a ControlNet webdataset script." + }, + { + "left": "issue:10227", + "right": "issue:10653", + "accept": false, + "reason": "LoRA feature-size support and bitsandbytes .to(cpu) restrictions are unrelated technical issues." + }, + { + "left": "issue:3379", + "right": "issue:954", + "accept": false, + "reason": "Dreambooth checkpoint loading and a post-login loading issue are unrelated." + }, + { + "left": "issue:5811", + "right": "issue:7136", + "accept": false, + "reason": "One requests callbacks across all pipelines; the other is a specific pipeline request. Related theme, but not the same concrete change." + }, + { + "left": "issue:3468", + "right": "issue:4754", + "accept": false, + "reason": "Both mention model_index.json, but one is missing generation after Dreambooth while the other is loading textual inversion results; different workflows and bugs." + }, + { + "left": "issue:5558", + "right": "issue:9142", + "accept": false, + "reason": "Both involve multiple ControlNets, but one is artifacting in inpaint and the other is a load-time attribute error in Hunyuan DiT." + }, + { + "left": "issue:1185", + "right": "issue:1541", + "accept": false, + "reason": "Both are Dreambooth-related, but reproducibility and MODEL_TYPE/CKPT loading are distinct issues." + }, + { + "left": "issue:4000", + "right": "issue:7785", + "accept": false, + "reason": "Checkpoint conversion and first-inference slowness are unrelated." + }, + { + "left": "issue:11864", + "right": "issue:13104", + "accept": false, + "reason": "Both are NameError-style failures, but they occur in different components and are not the same missing symbol or fix." + }, + { + "left": "issue:3296", + "right": "issue:4324", + "accept": false, + "reason": "Checkpoint save/load in Dreambooth is unrelated to a NoneType iteration error in UNet forward." + }, + { + "left": "issue:5441", + "right": "issue:6139", + "accept": false, + "reason": "Both mention attn_processors, but they affect different model classes and scripts; not the same concrete bug." + }, + { + "left": "issue:11241", + "right": "issue:11749", + "accept": false, + "reason": "A training crash and scheduler timestep floating-point errors are different issues, despite both mentioning Flux and floating point." + }, + { + "left": "issue:2668", + "right": "issue:6218", + "accept": false, + "reason": "LPW ControlNet image handling and batched seed behavior are separate pipeline bugs." + }, + { + "left": "issue:3765", + "right": "issue:6661", + "accept": false, + "reason": "Training image stacking artifacts and an MPS OOM are unrelated." + }, + { + "left": "issue:10049", + "right": "issue:8915", + "accept": false, + "reason": "Missing MochiPipeline export and missing AutoPipelineForText2Image import are different import surface failures." + }, + { + "left": "issue:10937", + "right": "issue:7357", + "accept": false, + "reason": "torch.compile errors in vae.encode and slow inference with compile/fuse_loras are not the same bug." + }, + { + "left": "issue:1375", + "right": "issue:5022", + "accept": false, + "reason": "A regression breaking diffusers import is not the same as a specific UNet2DModel import NameError." + }, + { + "left": "issue:175", + "right": "issue:988", + "accept": false, + "reason": "A question about torch.manual_seed is unrelated to FSDP training support." + }, + { + "left": "issue:11435", + "right": "issue:7082", + "accept": false, + "reason": "Importing HiDreamImagePipeline and importing CpuOffload are unrelated missing-symbol issues." + }, + { + "left": "issue:10540", + "right": "issue:9822", + "accept": false, + "reason": "Loading Flux Dev from_single_file after Flux Fill support and loading SDXL LoRAs into Flux are different model-compatibility problems." + }, + { + "left": "issue:2214", + "right": "issue:776", + "accept": false, + "reason": "NSFW filter breakage on 2.1 and batch_size>1 image-to-image breakage are unrelated 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": 148, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10049", + "issue:10382", + "issue:10863", + "issue:11321", + "issue:11574", + "issue:11989", + "issue:1774", + "issue:1802", + "issue:1925", + "issue:1976", + "issue:2163", + "issue:2203", + "issue:2480", + "issue:2581", + "issue:2774", + "issue:2844", + "issue:3346", + "issue:3454", + "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:9558", + "issue:993" + ], + "soft_pairs": [ + "issue:3346|issue:3454", + "issue:11989|issue:9558", + "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" + ], + "prepared_review_unit_hash": "18474945b2fe3a7c0e3e80315ddcad6c10d7a713687f2514374cc5122f6eb316", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33546, + "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 not a true duplicate set; it mixes many unrelated issues across loading, training, conversion, memory, and pipeline-specific bugs. The soft-similarity links are mostly title-level overlap rather than the same underlying defect.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3346", + "right": "issue:3454", + "accept": false, + "reason": "Both involve DreamBooth LoRA scripts, but one is about resume-from-checkpoint support and the other about the script breaking on latest deps; different problems and fixes." + }, + { + "left": "issue:11989", + "right": "issue:9558", + "accept": false, + "reason": "Both mention black images, but one is inference output and the other is TensorBoard validation display; not enough evidence of the same bug." + }, + { + "left": "issue:11321", + "right": "issue:9178", + "accept": false, + "reason": "Same broad Flux/ControlNet area, but one is a README/documentation issue and the other is a PEFT target-modules runtime error." + }, + { + "left": "issue:2844", + "right": "issue:4030", + "accept": false, + "reason": "Both concern embedding-related runtime errors, but one is StableUnCLIP image embeddings and the other is SD v2.1 embedding; different pipeline paths." + }, + { + "left": "issue:2203", + "right": "issue:2480", + "accept": false, + "reason": "Both are DreamBooth-related training complaints, but one is about download location and the other about checkpoint directory layout." + }, + { + "left": "issue:455", + "right": "issue:993", + "accept": false, + "reason": "Both involve dtype/device behavior, but one is an MPS index op limitation and the other is fp16 stable diffusion mismatch; different failure modes." + }, + { + "left": "issue:1976", + "right": "issue:6435", + "accept": false, + "reason": "Both are about config/default file handling, but one is a tokenizer config lookup error and the other is ControlNet width/height initialization." + }, + { + "left": "issue:4615", + "right": "issue:7082", + "accept": false, + "reason": "Both are import errors, but they affect different symbols from different dependencies and are not the same code-path problem." + }, + { + "left": "issue:2581", + "right": "issue:2774", + "accept": false, + "reason": "Both involve ControlNet conversion, but one is a feature request for 2.1 checkpoint conversion and the other is a specific safetensors conversion error." + }, + { + "left": "issue:5956", + "right": "issue:6362", + "accept": false, + "reason": "Both mention SDXL training performance/memory, but one is degraded image generation performance and the other is dataset mapping OOM." + }, + { + "left": "issue:1774", + "right": "issue:5540", + "accept": false, + "reason": "Both are OOM reports, but they are generic memory exhaustion issues without evidence of the same trigger or fix." + }, + { + "left": "issue:10382", + "right": "issue:11574", + "accept": false, + "reason": "Both involve VAE/encoder internals, but one is a forward return-type mismatch causing AttributeError and the other is a missing weight key during load." + }, + { + "left": "issue:2163", + "right": "issue:4935", + "accept": false, + "reason": "Both are training-script questions, but one is a UNet dtype mismatch in text-to-image training and the other is an API usage question about AttnProcsLayers in SDXL LoRA." + }, + { + "left": "issue:5875", + "right": "issue:7483", + "accept": false, + "reason": "Both are conversion-related, but one is ONNX prompt conversion and the other is LoRA-to-Diffusers conversion for SDXL base models." + }, + { + "left": "issue:6713", + "right": "issue:6899", + "accept": false, + "reason": "Both concern original SD conversion, but one is a HeaderTooLarge parsing failure and the other is an unspecified bug in the converter." + }, + { + "left": "issue:3674", + "right": "issue:4125", + "accept": false, + "reason": "Both relate to training data/LoRA, but one is metadata.jsonl reading and the other is an expected-loss-curve question." + }, + { + "left": "issue:3717", + "right": "issue:3803", + "accept": false, + "reason": "Both mention multi-GPU/OOM, but one is a general OOM on 3090 Ti and the other is that LoRA training does not share the model across GPUs." + }, + { + "left": "issue:4031", + "right": "issue:6250", + "accept": false, + "reason": "Both are local loading issues, but one is a standalone safety checker local-file load failure and the other is SDXL VAE loading from a single file." + }, + { + "left": "issue:7785", + "right": "issue:9063", + "accept": false, + "reason": "Both concern inference/model creation regressions, but one is slow first inference in diffusers 0.27.x and the other is Flux tokenizer instantiation from slow version." + }, + { + "left": "issue:10049", + "right": "issue:7082", + "accept": false, + "reason": "Both are import-related, but they concern unrelated missing modules/classes (MochiPipeline vs CpuOffload)." + }, + { + "left": "issue:1802", + "right": "issue:1925", + "accept": false, + "reason": "Both touch conditioning behavior, but one is unet_2d_condition with encoder_hidden_states=None and the other is half precision on stable-diffusion-2 inpainting." + }, + { + "left": "issue:3461", + "right": "issue:7431", + "accept": false, + "reason": "Both are training performance/quality complaints, but one is DreamBooth performance/memory and the other is DreamBooth with DoRA/text encoder issues." + }, + { + "left": "issue:4835", + "right": "issue:5647", + "accept": false, + "reason": "Both are ControlNet img2img bugs in SDXL, but one is MultiControlNetModel-specific and the other is strength==1 behavior." + }, + { + "left": "issue:10863", + "right": "issue:9154", + "accept": false, + "reason": "Both involve VAE loading, but one is loading local safetensors files and the other is PT files with AutoEncoder; different file formats and 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": 149, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10475", + "issue:11363", + "issue:11383", + "issue:11396", + "issue:12012", + "issue:12175", + "issue:12489", + "issue:1290", + "issue:1388", + "issue:1407", + "issue:1524", + "issue:1565", + "issue:1798", + "issue:1915", + "issue:1985", + "issue:2312", + "issue:2780", + "issue:2784", + "issue:2844", + "issue:3087", + "issue:3175", + "issue:3193", + "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:11363|issue:12489", + "issue:11383|issue:11396", + "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" + ], + "prepared_review_unit_hash": "1c55aef40c45959339b231341477807c3f33c827a686a7d4b61a6f241382ec85", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "No strong duplicate cluster emerges here: the items are mostly unrelated issue reports, and every soft pair is only loosely similar by model family or subsystem rather than the same concrete bug or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11363", + "right": "issue:12489", + "accept": false, + "reason": "Different failure modes: CUDA OOM in a ControlNet inference example vs an sm_120 kernel-image compatibility error." + }, + { + "left": "issue:11383", + "right": "issue:11396", + "accept": false, + "reason": "One is a feature request for HiDream LoRA support; the other is a conversion/how-to question for using a LoRA in ComfyUI." + }, + { + "left": "issue:1290", + "right": "issue:1915", + "accept": false, + "reason": "Unrelated topics: DreamArtist community project vs unifying/uploading UnCLIP hub weights." + }, + { + "left": "issue:1388", + "right": "issue:1798", + "accept": false, + "reason": "Different scripts and bugs: SD 2.0 conversion script adaptation vs Flax Dreambooth lacking v_prediction support." + }, + { + "left": "issue:1524", + "right": "issue:2780", + "accept": false, + "reason": "One reports poor SD2.0 training quality; the other is an FP16 unscale ValueError in a LoRA training script." + }, + { + "left": "issue:1985", + "right": "issue:3193", + "accept": false, + "reason": "Same general area, but not the same request: simple embedding loading vs batch loading textual inversion embeddings." + }, + { + "left": "issue:2784", + "right": "issue:3087", + "accept": false, + "reason": "Different feature requests: Dreambooth for text-to-video models vs LyCORIS model support." + }, + { + "left": "issue:3539", + "right": "issue:6203", + "accept": false, + "reason": "A general question about main_process_first is not the same as SDXL ControlNet image-size conditioning." + }, + { + "left": "issue:381", + "right": "issue:434", + "accept": false, + "reason": "Both mention notebook issues, but one is an inference-pipeline notebook error and the other is a version incompatibility in the training notebook." + }, + { + "left": "issue:3871", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint resume error vs multi-GPU slowdown are different problems with different symptoms and fixes." + }, + { + "left": "issue:4241", + "right": "issue:4680", + "accept": false, + "reason": "Different requests: LoRA support for unidiffusers vs SDXL inpainting fine-tuning." + }, + { + "left": "issue:4304", + "right": "issue:4386", + "accept": false, + "reason": "Related to SDXL LoRA, but one asks for training support and the other asks about converting a LoRA file." + }, + { + "left": "issue:5504", + "right": "issue:6333", + "accept": false, + "reason": "PEFT+xformers incompatibility is a concrete runtime issue; finetuning a pretrained LoRA by PEFT is a separate feature/request topic." + }, + { + "left": "issue:5966", + "right": "issue:8390", + "accept": false, + "reason": "Different model families: ControlNet for Stable Diffusion 2.1 vs Stable Cascade ControlNet training." + }, + { + "left": "issue:6278", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training complaints, but they involve different scripts/models and different failure details, so not the same bug." + }, + { + "left": "issue:7114", + "right": "issue:7311", + "accept": false, + "reason": "OOM during SDXL training is unrelated to failing to save a checkpoint." + }, + { + "left": "issue:3175", + "right": "issue:5016", + "accept": false, + "reason": "Different training use cases: multi-face DreamBooth on SD vs SDXL LoRA text-encoder training." + }, + { + "left": "issue:7049", + "right": "issue:7238", + "accept": false, + "reason": "An unpacking error in the IP-Adapter basic example is not the same as an IP-Adapter masking feature request/issue." + }, + { + "left": "issue:5619", + "right": "issue:5857", + "accept": false, + "reason": "LCM img2img encode failure and LCM LoRA quality on AnimateDiff SDXL are separate issues." + }, + { + "left": "issue:5577", + "right": "issue:7871", + "accept": false, + "reason": "Different code paths: ControlNet single-file loading KeyError vs an error using blockwise scales with a specific LoRA." + }, + { + "left": "issue:10475", + "right": "issue:12175", + "accept": false, + "reason": "Both complain about image quality, but they target different models (SD3 vs Qwen Image) and do not indicate the same underlying bug." + }, + { + "left": "issue:2312", + "right": "issue:2844", + "accept": false, + "reason": "EMA save-hook errors and explicit image-embedding runtime errors are distinct code-path problems." + }, + { + "left": "issue:1565", + "right": "issue:9856", + "accept": false, + "reason": "GPU selection/OOM behavior is unrelated to a distributed port-in-use error." + }, + { + "left": "issue:12012", + "right": "issue:1407", + "accept": false, + "reason": "Different ecosystems and failures: Wan 2.2 context-state error vs ONNX SD2.0 feature_extractor 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": 150, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1005", + "issue:10066", + "issue:10337", + "issue:10972", + "issue:1181", + "issue:11833", + "issue:1261", + "issue:12689", + "issue:1407", + "issue:1524", + "issue:1865", + "issue:1969", + "issue:2250", + "issue:2439", + "issue:2444", + "issue:2507", + "issue:2775", + "issue:2786", + "issue:2819", + "issue:2893", + "issue:3061", + "issue:3198", + "issue:3468", + "issue:4186", + "issue:4366", + "issue:4782", + "issue:5023", + "issue:5224", + "issue:5226", + "issue:5327", + "issue:5737", + "issue:5892", + "issue:6239", + "issue:6383", + "issue:6435", + "issue:6713", + "issue:6815", + "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:1524|issue:2819", + "issue:2250|issue:3468", + "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:10066|issue:1407" + ], + "prepared_review_unit_hash": "c238f7831da5d76e9d25624892bbabef9681d2b1657c1ce043691d6d6195d2f7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33946, + "estimated_input_tokens": 8487, + "estimated_eval_tokens": 17230 + }, + "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 strong duplicate-like pair is the SDXL textual inversion/embedding loading reports; all other soft pairs describe different bugs, features, or error modes.", + "confidence": 0.97, + "canonical_issue_reason": "issue:5327 is the clearest representative of the only real duplicate-like theme in the set (SDXL textual inversion / embedding loading failure) and is earlier/more specific than the matching 8854 report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5327 is the best issue anchor because it cleanly states the shared failure mode for the only valid duplicate pair in this cluster. The rest of the items are not close enough to justify a broader canonical choice.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1524", + "right": "issue:2819", + "accept": false, + "reason": "Different problems: SD2 textual inversion quality vs a raw.githubusercontent.com download/network failure." + }, + { + "left": "issue:2250", + "right": "issue:3468", + "accept": false, + "reason": "Both are Dreambooth-related, but one is inference output failure and the other is missing model_index.json." + }, + { + "left": "issue:10337", + "right": "issue:10972", + "accept": false, + "reason": "Both mention FLUX/LoRA, but one is quantized-transformer IPAdapter failure and the other is LoRA checkpoint loading failure." + }, + { + "left": "issue:2507", + "right": "issue:3198", + "accept": false, + "reason": "Safetensors appears in both, but one is a performance complaint and the other is a textual inversion loading error." + }, + { + "left": "issue:1181", + "right": "issue:4366", + "accept": false, + "reason": "Training-from-scratch vs SDXL full-U-Net fine-tuning are different requests with different contexts." + }, + { + "left": "issue:5226", + "right": "issue:7978", + "accept": false, + "reason": "One is an SDXL adapter/LoRA compatibility bug; the other is a missing torchvision operator error." + }, + { + "left": "issue:7357", + "right": "issue:7985", + "accept": false, + "reason": "Both involve torch.compile, but one is slow inference and the other is an IPAdapter incompatibility." + }, + { + "left": "issue:2439", + "right": "issue:3061", + "accept": false, + "reason": "Inpainting pipeline loading issue vs a general reproducibility complaint; no shared concrete bug." + }, + { + "left": "issue:2893", + "right": "issue:6435", + "accept": false, + "reason": "Both are ControlNet dimension-related, but one is width/height swap and the other is default initialization." + }, + { + "left": "issue:4782", + "right": "issue:8450", + "accept": false, + "reason": "Both involve inpainting, but one is mask preservation and the other is SDXL refiner noise at strength 1.0." + }, + { + "left": "issue:5023", + "right": "issue:5892", + "accept": false, + "reason": "Both are generic import errors, but they target different components and give no evidence of the same bug." + }, + { + "left": "issue:5737", + "right": "issue:6713", + "accept": false, + "reason": "Same conversion script, but SDXL model failure and HeaderTooLarge are different concrete errors." + }, + { + "left": "issue:9876", + "right": "issue:9913", + "accept": false, + "reason": "Both concern LoRA device/memory behavior, but one is VRAM release after training and the other is set_lora_device not working." + }, + { + "left": "issue:1261", + "right": "issue:1969", + "accept": false, + "reason": "Different runtime failures: xformers backward assert vs a tensor view/stride incompatibility." + }, + { + "left": "issue:1865", + "right": "issue:2444", + "accept": false, + "reason": "Different training scripts and different failure modes; too broad to be the same bug." + }, + { + "left": "issue:5327", + "right": "issue:8854", + "accept": true, + "reason": "These describe the same SDXL textual inversion/embedding loading failure with near-paraphrased wording." + }, + { + "left": "issue:6815", + "right": "issue:8832", + "accept": false, + "reason": "Black-image cast warning vs a generic pipe(prompt) crash are not the same issue." + }, + { + "left": "issue:4186", + "right": "issue:5224", + "accept": false, + "reason": "SDXL inpaint/refiner bug vs a Flax Stable Diffusion 2.1 error; unrelated pipelines and symptoms." + }, + { + "left": "issue:8955", + "right": "issue:9497", + "accept": false, + "reason": "CLIPTextModel state_dict loading error vs a Flux Dreambooth matmul shape error are unrelated." + }, + { + "left": "issue:2775", + "right": "issue:6239", + "accept": false, + "reason": "One is a torch._dynamo misuse error; the other is an FX support request for VAE sampling." + }, + { + "left": "issue:1005", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler timestep bounds vs numpy-input compatibility in Depth2Img are unrelated." + }, + { + "left": "issue:11833", + "right": "issue:12689", + "accept": false, + "reason": "Both touch LoRA loading/device handling, but one is a KeyError after loading and the other is failure to load from checkpoints." + }, + { + "left": "issue:6383", + "right": "issue:9810", + "accept": false, + "reason": "Scheduler learning-rate API question vs a LoRA module_to_save support issue; different areas entirely." + }, + { + "left": "issue:10066", + "right": "issue:1407", + "accept": false, + "reason": "Both are ValueErrors, but the concrete code paths and causes are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft pair, issue:5327 vs issue:8854, is well supported by the titles alone as the same SDXL textual inversion / embedding-loading failure. The other pair rejections are phrased cautiously and do not overclaim. No mergeability problem is present because this is an issue-cluster evaluation, not a PR-pair mergeability 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": 151, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:3808", + "issue:3978", + "issue:4073", + "issue:4217", + "issue:4389", + "issue:455", + "issue:4911", + "issue:4985", + "issue:5023", + "issue:5412", + "issue:5455", + "issue:5799", + "issue:6176", + "issue:6238", + "issue:6287", + "issue:6351", + "issue:6407", + "issue:6598", + "issue:6602", + "issue:6639", + "issue:7180", + "issue:7421", + "issue:7466", + "issue:7864", + "issue:8274", + "issue:8414", + "issue:8494", + "issue:8805", + "issue:8898", + "issue:8939", + "issue:9091", + "issue:9767" + ], + "soft_pairs": [ + "issue:3808|issue:5455", + "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" + ], + "prepared_review_unit_hash": "0f49e83ce9c33b9dceab4438a3ae3df9739700ff0c148b144457afb162d1919e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34767, + "estimated_input_tokens": 8692, + "estimated_eval_tokens": 17640 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated bugs, platform-specific failures, training issues, file/loading problems, and new-model requests. None of the soft pairs look like the same underlying bug/change, so no duplicate merge is justified.", + "confidence": 0.96, + "canonical_issue_reason": "No safe canonical issue: the issues span many distinct code paths and product areas, with no clear duplicate family dominating the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative; the nearest matches are still different bugs or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3808", + "right": "issue:5455", + "accept": false, + "reason": "Different failures: DeepFloyd IF stage-2 training versus a dreambooth+lora notebook subprocess error." + }, + { + "left": "issue:2645", + "right": "issue:7180", + "accept": false, + "reason": "Both mention device/offload behavior, but one is a Mac M1 CUDA assertion and the other is SDXL img2img ControlNet cpu-offload failure." + }, + { + "left": "issue:5799", + "right": "issue:8494", + "accept": false, + "reason": "Different APIs and errors: inpainting strength keyword handling versus SD3 `force_hooks` argument." + }, + { + "left": "issue:11448", + "right": "issue:12195", + "accept": false, + "reason": "Unrelated bugs: missing `fusing/...` model path versus a PyTorch 2.3.1 `torch.library.custom_op` compatibility issue." + }, + { + "left": "issue:2321", + "right": "issue:3803", + "accept": false, + "reason": "One is inference model-copy/EMA assignment behavior; the other is multi-GPU LoRA training sharing state across GPUs." + }, + { + "left": "issue:4073", + "right": "issue:455", + "accept": false, + "reason": "Different runtime failures in different components: DeepFloyd IF safety checker `astype` error vs MPS `aten::index.Tensor` not implemented." + }, + { + "left": "issue:3296", + "right": "issue:4911", + "accept": false, + "reason": "Both concern loading/saving, but one is training checkpoint persistence with text_encoder and the other is custom text_encoder loading from a single file." + }, + { + "left": "issue:6598", + "right": "issue:6639", + "accept": false, + "reason": "Different symptom spaces: general img2img output differences versus SDXL LoRA loading order producing different outputs." + }, + { + "left": "issue:7864", + "right": "issue:8274", + "accept": false, + "reason": "Both are video-related model topics, but one is MotionMaster camera motion transfer and the other is FIFO-Diffusion rolling video denoising." + }, + { + "left": "issue:3978", + "right": "issue:7421", + "accept": false, + "reason": "Different pipeline bugs: StableDiffusionImg2Img on MPS versus seed reproducibility in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:11839", + "right": "issue:12009", + "accept": false, + "reason": "Both involve GGUF/model loading, but they target different pipelines and different failure modes (`invalid input size` vs `Cannot copy out of meta tensor`)." + }, + { + "left": "issue:3346", + "right": "issue:5412", + "accept": false, + "reason": "Both are checkpoint-related training requests, but they concern different scripts and different resume/save behaviors." + }, + { + "left": "issue:4985", + "right": "issue:6238", + "accept": false, + "reason": "Different issues: InstructPix2Pix SDXL training OOM versus an SDXL VAE problem." + }, + { + "left": "issue:4389", + "right": "issue:6602", + "accept": false, + "reason": "Both are loading-related, but one is ControlNetModel load failure and the other is `fuse_lora()`/`save_pretrained()` reload error." + }, + { + "left": "issue:7466", + "right": "issue:9091", + "accept": false, + "reason": "Different acceleration paths and failures: multi-ControlNet torch.compile in SDXL inpaint versus VAE decoder torch.compile support." + }, + { + "left": "issue:1572", + "right": "issue:3182", + "accept": false, + "reason": "Both mention img2img/inpainting/offload, but one is a pipeline capability bug and the other is custom LPW pipeline incompatibility with cpu offload." + }, + { + "left": "issue:1976", + "right": "issue:8939", + "accept": false, + "reason": "Different tokenizer-loading errors for different models and file layouts; not the same underlying bug." + }, + { + "left": "issue:2554", + "right": "issue:5023", + "accept": false, + "reason": "Different version/import problems: accelerate version requirement vs WuerstchenCombinedPipeline import error." + }, + { + "left": "issue:6176", + "right": "issue:9767", + "accept": false, + "reason": "Different LoRA-related failures in different pipelines and stages; no shared code-path is evident." + }, + { + "left": "issue:6287", + "right": "issue:8805", + "accept": false, + "reason": "Unrelated cleanup vs utility breakage: unused dependencies in setup.py versus an SDXL conversion script no longer working." + }, + { + "left": "issue:1100", + "right": "issue:6351", + "accept": false, + "reason": "Both surface attribute errors, but on different objects and training flows (`CLIPTextTransformer.device` vs `DistributedDataParallel.disable_adapters`)." + }, + { + "left": "issue:12574", + "right": "issue:13386", + "accept": false, + "reason": "Different Wan/Qwen video training bugs with different transformers and error conditions; not the same change request." + }, + { + "left": "issue:4217", + "right": "issue:8898", + "accept": false, + "reason": "Both concern loading speed/path behavior, but one is safetensors performance and the other is invalid subfolder path resolution." + }, + { + "left": "issue:6407", + "right": "issue:8414", + "accept": false, + "reason": "These are distinct new-model announcements for different tasks: text generation/editing vs text-to-audio generation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "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:6793", + "issue:6911", + "issue:7146", + "issue:7168", + "issue:7311", + "issue:7441", + "issue:7483", + "issue:7848", + "issue:785", + "issue:8504", + "issue:8511", + "issue:8555", + "issue:8874", + "issue:9136", + "issue:9171", + "issue:9187", + "issue:9488", + "issue:9500", + "issue:9726", + "issue:9914" + ], + "soft_pairs": [ + "issue:6793|issue:7483", + "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" + ], + "prepared_review_unit_hash": "5bd99c850bb795b675c3350acee3fd617f18bba84c32c06395fbba50c9a1232b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33428, + "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 a loose lexical group of unrelated issues around pipelines, LoRA, IP-Adapter, SDXL, Flux, and training scripts. I do not see any strong duplicate pairs; the soft edges are mostly broad topical similarity rather than the same concrete bug.", + "confidence": 0.18, + "canonical_issue_reason": "Issue 9500 is the most detailed and discussion-heavy report in the set, so it is the best representative issue even though the cluster is not a true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9500 has the richest reproduction context and is the clearest standalone bug report among these unrelated items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6793", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: hydra serialization vs an SDXL LoRA conversion script issue." + }, + { + "left": "issue:10705", + "right": "issue:11436", + "accept": false, + "reason": "Pipeline reuse slowdown and a Hidream dtype mismatch are unrelated failures." + }, + { + "left": "issue:5886", + "right": "issue:7168", + "accept": false, + "reason": "Both touch IP-Adapter, but one is a face-model feature request and the other is an embedding shape issue." + }, + { + "left": "issue:6333", + "right": "issue:9914", + "accept": false, + "reason": "Both involve LoRA, but one is about PEFT finetuning and the other about loading a trained Flux LoRA in Xlabs." + }, + { + "left": "issue:11651", + "right": "issue:11922", + "accept": false, + "reason": "Both mention FLUX.1-Fill, but the reports describe different runtime/load behaviors." + }, + { + "left": "issue:9500", + "right": "issue:9726", + "accept": false, + "reason": "Both are Flux Dreambooth training reports, but one is checkpoint saving and the other is multigpu training failure." + }, + { + "left": "issue:6911", + "right": "issue:7441", + "accept": false, + "reason": "Class-label usage in a 3D UNet and pytest failing on Python 3.12 are unrelated." + }, + { + "left": "issue:8504", + "right": "issue:8555", + "accept": false, + "reason": "Both concern SD3 text encoders, but one is about choosing encoders and the other is about FP8/training availability." + }, + { + "left": "issue:5529", + "right": "issue:7311", + "accept": false, + "reason": "Same script family, but the bugs are different: training behavior vs checkpoint saving." + }, + { + "left": "issue:5956", + "right": "issue:7146", + "accept": false, + "reason": "Different SDXL training issues: degraded performance versus CUDA OOM." + }, + { + "left": "issue:6336", + "right": "issue:6382", + "accept": false, + "reason": "TensorRT VAE compilation with AutoencoderTiny is not the same as an IP-Adapter key error after LCM LoRA training." + }, + { + "left": "issue:3910", + "right": "issue:4488", + "accept": false, + "reason": "LoRA loading failure and SDXL checkpoint conversion without pipeline_class are different code paths." + }, + { + "left": "issue:8874", + "right": "issue:9171", + "accept": false, + "reason": "Both use from_single_file, but one is an unpickling/weights load error and the other is a v_prediction regression." + }, + { + "left": "issue:1925", + "right": "issue:5504", + "accept": false, + "reason": "Half-precision inpainting and PEFT LoRA with xformers are separate bugs." + }, + { + "left": "issue:4840", + "right": "issue:7848", + "accept": false, + "reason": "Flax checkpoint loading and LPW SDXL decoding are not the same issue." + }, + { + "left": "issue:2554", + "right": "issue:785", + "accept": false, + "reason": "Accelerate version requirements and PNDM scheduler overhead are unrelated." + }, + { + "left": "issue:10782", + "right": "issue:9488", + "accept": false, + "reason": "A generic Lumina minor issue does not match a specific pipeline failing to generate images." + }, + { + "left": "issue:2947", + "right": "issue:3811", + "accept": false, + "reason": "Missing load_attn_procs on UNet and LoRA having no generation effect are different defects." + }, + { + "left": "issue:4257", + "right": "issue:4675", + "accept": false, + "reason": "Reference-only/outpainting support for SDXL is broader than the specific ControlNet reference-only request." + }, + { + "left": "issue:4450", + "right": "issue:8511", + "accept": false, + "reason": "Multi text inversion not working and SD3 text encoders not unloading are unrelated training issues." + }, + { + "left": "issue:6008", + "right": "issue:9187", + "accept": false, + "reason": "Both involve IP-Adapter and LoRA, but they target different models and failure modes." + }, + { + "left": "issue:6382", + "right": "issue:9136", + "accept": false, + "reason": "An IP-Adapter key error after training is not the same as quality issues at certain resolutions." + }, + { + "left": "issue:1543", + "right": "issue:5502", + "accept": false, + "reason": "fp16 revision handling in textual inversion and fp16 support in custom diffusion training are separate bugs." + }, + { + "left": "issue:2645", + "right": "issue:5617", + "accept": false, + "reason": "A CUDA-on-M1 assertion and a torch.compile save/load problem are different ControlNet 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": 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-50-3013", + "nodes": [ + "issue:10026", + "issue:1013", + "issue:10334", + "issue:10392", + "issue:10520", + "issue:10671", + "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: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:8613", + "issue:8668", + "issue:8834", + "issue:8874", + "issue:8900", + "issue:9450" + ], + "soft_pairs": [ + "issue:10671|issue:8613", + "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" + ], + "prepared_review_unit_hash": "23d0aef1e75fb264ff07c472ed4d7c4a3381dbce93da338cd0e4c58b69153fd4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34151, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and only loosely related by training/runtime errors. There isn\u2019t a clear duplicate set; the closest theme is device/dtype and loading issues, so I\u2019d use the broadest runtime bug as the representative issue.", + "confidence": 0.34, + "canonical_issue_reason": "issue:10671 is the broadest, most central runtime bug here: it concerns core DiffusionPipeline device/dtype handling, which is the closest umbrella for the cluster\u2019s recurring device/mixed-precision failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the best single issue representative because it is general enough to summarize the cluster\u2019s runtime/device problems without being tied to one model or training script.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10671", + "right": "issue:8613", + "accept": false, + "reason": "Different failure modes: one is a deterministic dtype/device accessor bug, the other is an OOM during caption-column training." + }, + { + "left": "issue:6524", + "right": "issue:7485", + "accept": false, + "reason": "Different code paths and symptoms: LoRA reload failure vs setting a None safety checker callable error." + }, + { + "left": "issue:7168", + "right": "issue:9450", + "accept": false, + "reason": "Both mention tensor/device handling, but they are different pipelines and errors: IP-Adapter embeds shape issue vs Flux multi-GPU device mismatch." + }, + { + "left": "issue:1500", + "right": "issue:4305", + "accept": false, + "reason": "Same broad library area, but not the same bug: one is version incompatibility for a community pipeline, the other is a torch.compile graph break on a newer release." + }, + { + "left": "issue:1791", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac/MPS-related, but one is unsupported pipeline behavior and the other is a float16 kernel crash; not the same underlying issue." + }, + { + "left": "issue:10026", + "right": "issue:3382", + "accept": false, + "reason": "Both are multi-GPU memory complaints, but they involve different training scripts and different runtime setups, so they are not clearly the same bug." + }, + { + "left": "issue:12547", + "right": "issue:7146", + "accept": false, + "reason": "Unrelated concrete failures: missing required CLI prompt argument vs CUDA OOM during SDXL fine-tuning." + }, + { + "left": "issue:2695", + "right": "issue:6444", + "accept": false, + "reason": "Different bugs in different training flows: validation/reporting failure vs PEFT checkpointing attribute error." + }, + { + "left": "issue:4788", + "right": "issue:6956", + "accept": false, + "reason": "Both are OOMs, but they affect different pipelines and environments, so they should not be merged." + }, + { + "left": "issue:10334", + "right": "issue:10520", + "accept": false, + "reason": "Both involve Sana/device issues, but one is MacOS/MPS gray outputs and CPU NaNs, while the other is a cuda/cpu tensor placement error; not the same concrete bug." + }, + { + "left": "issue:1013", + "right": "issue:3574", + "accept": false, + "reason": "Different problems: a specific pipeline failing on Diffusers 6.0 vs from_ckpt not working on Windows." + }, + { + "left": "issue:1076", + "right": "issue:1310", + "accept": false, + "reason": "Completely different topics; no shared bug or code path." + }, + { + "left": "issue:3967", + "right": "issue:7421", + "accept": false, + "reason": "Different issues in SDXL-related paths: deleted-branch regression vs seed inconsistency in a K-Diffusion pipeline." + }, + { + "left": "issue:4067", + "right": "issue:7057", + "accept": false, + "reason": "Different failures: LoRA scale inconsistency with prompt embeddings vs a checkpoint loading problem." + }, + { + "left": "issue:4837", + "right": "issue:6899", + "accept": false, + "reason": "Both mention the conversion script, but the titles point to different conversion failures and there isn\u2019t enough evidence they are the same bug." + }, + { + "left": "issue:5963", + "right": "issue:8668", + "accept": false, + "reason": "Different model/pipeline behaviors: Kandinsky embed-vs-prompt handling vs SD3 image-size alignment." + }, + { + "left": "issue:8555", + "right": "issue:8834", + "accept": false, + "reason": "One is a feature request about FP8/text encoder training; the other asks when SD3 ControlNet training code will be released." + }, + { + "left": "issue:10839", + "right": "issue:12157", + "accept": false, + "reason": "Different training stacks and errors: Flux Dreambooth last-step failure vs Qwen-Image quantization config type error." + }, + { + "left": "issue:1214", + "right": "issue:5502", + "accept": false, + "reason": "Both mention fp16, but one is a CLIPTextModel precision bug and the other is a custom diffusion training script limitation." + }, + { + "left": "issue:8874", + "right": "issue:8900", + "accept": false, + "reason": "Different single-file loading problems: CKPT unpickling failure vs loading a specific SDXL refiner safetensors file." + }, + { + "left": "issue:7000", + "right": "issue:7950", + "accept": false, + "reason": "A deprecation warning is not the same as a PyTorch 2.3 compatibility break." + }, + { + "left": "issue:1540", + "right": "issue:1919", + "accept": false, + "reason": "Different causes: missing MODEL_TYPE in Dreambooth/transformers execution vs missing datasets dependency in requirements." + }, + { + "left": "issue:1188", + "right": "issue:1755", + "accept": false, + "reason": "These are unrelated; one is a pipeline feature request and the other is a non-English general discussion 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": 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-50-3013", + "nodes": [ + "issue:1062", + "issue:13300", + "issue:1961", + "issue:2221", + "issue:2420", + "issue:2991", + "issue:3595", + "issue:3748", + "issue:3811", + "issue:3958", + "issue:4030", + "issue:4080", + "issue:4086", + "issue:4186", + "issue:4236", + "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:1961|issue:2221", + "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" + ], + "prepared_review_unit_hash": "db6a810b63f062b632cc73d55b64bbac131ee1b76fb83c646b714b5195907a58", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "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": "This cluster is heterogeneous: most items are unrelated example/pipeline bugs, and the proposed soft links are only surface-level similarity. None of the candidate pairs look like the same concrete bug/change, so I would not merge them. If a representative issue is needed, the broadest user-facing one is the LoRA loading bug.", + "confidence": 0.62, + "canonical_issue_reason": "Issue 3811 is the broadest, most central bug report here: it describes LoRA loading having no effect, which is the closest recurring theme across the LoRA-related tickets in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3811 is the best representative because it is concrete, user-facing, and general enough to cover the nearby LoRA/loading regressions better than the very specific or unrelated example issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1961", + "right": "issue:2221", + "accept": false, + "reason": "Same vague title, but no evidence they describe the same underlying colossalai failure." + }, + { + "left": "issue:2991", + "right": "issue:6790", + "accept": false, + "reason": "Different problems: mixed-precision ControlNet example vs LCM checkpoint key mismatch." + }, + { + "left": "issue:3811", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but one is no-effect generation and the other is missing alpha handling; likely distinct bugs." + }, + { + "left": "issue:4080", + "right": "issue:556", + "accept": false, + "reason": "Different features entirely: SDXL inpainting vs seamless texture tiling." + }, + { + "left": "issue:7801", + "right": "issue:9393", + "accept": false, + "reason": "Generic FP16 mismatch complaint vs a FLUX Dreambooth LoRA save-model issue; not the same bug." + }, + { + "left": "issue:5593", + "right": "issue:5963", + "accept": false, + "reason": "Both pipeline-related, but one is AutoPipeline conversion and the other is passing embeds to Kandinsky 3.0." + }, + { + "left": "issue:4030", + "right": "issue:4186", + "accept": false, + "reason": "Different SD/v2.1 embedding runtime error vs SDXL inpaint/refiner behavior." + }, + { + "left": "issue:6928", + "right": "issue:7962", + "accept": false, + "reason": "One is a documentation/option request for Marigold, the other is an API enhancement for instruct-pix2pix." + }, + { + "left": "issue:9178", + "right": "issue:9420", + "accept": false, + "reason": "FLUX LoRA PEFT target-module training error is unrelated to a saved transformer failing to load." + }, + { + "left": "issue:4584", + "right": "issue:7322", + "accept": false, + "reason": "Both are training-script errors, but one is resume-from-checkpoint and the other is SIGKILL during SDXL DreamBooth LoRA training." + }, + { + "left": "issue:6351", + "right": "issue:6382", + "accept": false, + "reason": "DDP missing disable_adapters and IP-adapter key errors are different failure modes in different code paths." + }, + { + "left": "issue:3748", + "right": "issue:3958", + "accept": false, + "reason": "Float16/float32 mismatch on LoRA weights is not the same as the enable_model_cpu_offload interaction bug." + }, + { + "left": "issue:7082", + "right": "issue:8975", + "accept": false, + "reason": "Separate import failures for different symbols from different modules." + }, + { + "left": "issue:2420", + "right": "issue:5678", + "accept": false, + "reason": "LoRA xFormers attention failure is unrelated to higher-order-derivative attention/autograd behavior." + }, + { + "left": "issue:5873", + "right": "issue:9515", + "accept": false, + "reason": "ONNX export support problem is not the same as missing RMSNorm in JointAttnProcessor2_0." + }, + { + "left": "issue:6832", + "right": "issue:8626", + "accept": false, + "reason": "A tuple-shape AttributeError in IP-Adapter Face ID is unrelated to guidance documentation for multiple IP adapter images/masks." + }, + { + "left": "issue:3595", + "right": "issue:4086", + "accept": false, + "reason": "from_ckpt loading failure and SDXL ControlNet training failure are distinct problems." + }, + { + "left": "issue:5890", + "right": "issue:8880", + "accept": false, + "reason": "Token length warning during training inference is unrelated to a broader inference speed regression." + }, + { + "left": "issue:4086", + "right": "issue:5972", + "accept": false, + "reason": "Training failure with SDXL ControlNet is not the same as a documentation update for Min-SNR weighting." + }, + { + "left": "issue:1062", + "right": "issue:5014", + "accept": false, + "reason": "Dreambooth paper-result reproducibility and LoRA training results are related only by topic, not by the same bug." + }, + { + "left": "issue:4911", + "right": "issue:7286", + "accept": false, + "reason": "Custom text-encoder loading from_single_file is unrelated to cross-attention weight loading in Custom Diffusion." + }, + { + "left": "issue:4236", + "right": "issue:8604", + "accept": false, + "reason": "SDXL refiner text-encoder registration and T5 float16 corruption are different code paths and symptoms." + }, + { + "left": "issue:7492", + "right": "issue:7801", + "accept": false, + "reason": "A missing repository URL/model lookup error is unrelated to mixed_precision not producing fp16 weights." + }, + { + "left": "issue:6794", + "right": "issue:6865", + "accept": false, + "reason": "Import error for cast_training_params and missing Image-instance check are separate utility issues." + }, + { + "left": "issue:13300", + "right": "issue:5963", + "accept": false, + "reason": "CPU generation failures in SD3.5/FLUX are unrelated to Kandinsky 3.0 embed-input 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": 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-50-3013", + "nodes": [ + "issue:10025", + "issue:10066", + "issue:10311", + "issue:1197", + "issue:12609", + "issue:13258", + "issue:1985", + "issue:2324", + "issue:2599", + "issue:378", + "issue:4037", + "issue:4086", + "issue:4236", + "issue:4337", + "issue:435", + "issue:4405", + "issue:4933", + "issue:4964", + "issue:5227", + "issue:5433", + "issue:5594", + "issue:5737", + "issue:5932", + "issue:5953", + "issue:5966", + "issue:5967", + "issue:6093", + "issue:6258", + "issue:6382", + "issue:6388", + "issue:6441", + "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:378|issue:435", + "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" + ], + "prepared_review_unit_hash": "5b8877ed2fd74c3fb58a1a3fcd54a50a4f90457f1742040f6d407a74d85bf89f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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": "No soft pair looks like the same underlying bug/change; the set is mostly unrelated training, conversion, and compile issues. No pull requests are present. The most representative issue is the SD3 attention-mask bug because it is concrete and actionable.", + "confidence": 0.78, + "canonical_issue_reason": "issue:8673 is the clearest concrete bug report here: missing attention masks in SD3 for padding tokens, with a specific model/component and a plausible targeted fix.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8673 is the strongest standalone issue for triage: specific, reproducible, and directly tied to a code-path bug rather than a broad feature request or vague failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:378", + "right": "issue:435", + "accept": false, + "reason": "Both are textual inversion/VAE-related, but they describe different failures and different symptoms; not the same underlying bug." + }, + { + "left": "issue:5953", + "right": "issue:8668", + "accept": false, + "reason": "Both involve image-size handling, but one is ControlNet img2img consistency and the other is SD3 alignment to 16; different code paths and fixes." + }, + { + "left": "issue:4337", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is Community ControlNetReference and the other IPAdapter; too different to merge as one fix." + }, + { + "left": "issue:12609", + "right": "issue:13258", + "accept": false, + "reason": "Wan 2.2 latent NaNs versus a missing image-to-video model; unrelated problems." + }, + { + "left": "issue:5433", + "right": "issue:5737", + "accept": false, + "reason": "SDXL artifacting with schedulers versus SDXL conversion script failure; not the same bug." + }, + { + "left": "issue:4964", + "right": "issue:7483", + "accept": false, + "reason": "Both are conversion-related, but one is general SDXL conversion and the other is LoRA-to-Diffusers for SDXL base models; different workflows." + }, + { + "left": "issue:6382", + "right": "issue:6790", + "accept": false, + "reason": "Both concern LCM/SDXL training, but the errors are different state-dict/key problems in different scripts." + }, + { + "left": "issue:10066", + "right": "issue:5932", + "accept": false, + "reason": "Different runtime failures: unpacking in self.attn versus channel-mismatch in a convolution input." + }, + { + "left": "issue:10025", + "right": "issue:8673", + "accept": false, + "reason": "Both mention attention masks, but Flux transformer versus SD3 padding-token masking are different model-specific bugs." + }, + { + "left": "issue:10311", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they point to different symbols and scripts; not a single underlying defect." + }, + { + "left": "issue:1197", + "right": "issue:1985", + "accept": false, + "reason": "A community pipeline request versus a request for easier embedding loading; unrelated feature work." + }, + { + "left": "issue:2324", + "right": "issue:2599", + "accept": false, + "reason": "Both are Dreambooth training issues, but one is instance data loading and the other is multi-subject quality degradation." + }, + { + "left": "issue:4037", + "right": "issue:4086", + "accept": false, + "reason": "Both are ControlNet training problems, but one is FSDP validation errors and the other is a general SDXL base-0.9 training failure." + }, + { + "left": "issue:4405", + "right": "issue:8887", + "accept": false, + "reason": "Different features and models: SDXL textual inversion script versus SD3 VAE encode bug." + }, + { + "left": "issue:5227", + "right": "issue:7466", + "accept": false, + "reason": "Both involve torch.compile, but one is LoRA loading and the other is multi-ControlNet inpainting; different code paths." + }, + { + "left": "issue:5594", + "right": "issue:6388", + "accept": false, + "reason": "Related SDXL-LoRA optimization topics, but one is memory usage generally and the other is gradient checkpointing being ignored." + }, + { + "left": "issue:5966", + "right": "issue:7882", + "accept": false, + "reason": "ControlNet for SD2.1 versus T2I-Adapter missing from_single_file; different features and implementations." + }, + { + "left": "issue:5967", + "right": "issue:6258", + "accept": false, + "reason": "An announcement versus a pipeline quality bug; no shared underlying defect." + }, + { + "left": "issue:6093", + "right": "issue:8547", + "accept": false, + "reason": "SDXL LoRA push_to_hub behavior versus an LCM scaling bug; unrelated." + }, + { + "left": "issue:6441", + "right": "issue:7057", + "accept": false, + "reason": "Both are model-loading problems, but one is from_pretrained in Colab and the other is checkpoint loading; different causes." + }, + { + "left": "issue:7420", + "right": "issue:8879", + "accept": false, + "reason": "Both mention torch.compile, but the failure modes are different and not clearly one mergeable fix." + }, + { + "left": "issue:8555", + "right": "issue:9101", + "accept": false, + "reason": "SD3 FP8/text encoder training request versus an InstructPix2Pix training script request; unrelated feature requests." + }, + { + "left": "issue:8645", + "right": "issue:8906", + "accept": false, + "reason": "Missing helper function in single_file_utils versus missing qk_norm in SD3Transformer2DModel; unrelated implementation gaps." + }, + { + "left": "issue:4236", + "right": "issue:4933", + "accept": false, + "reason": "SDXL refiner text-encoder registration versus Dreambooth output-file saving; 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": 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-50-3013", + "nodes": [ + "issue:10017", + "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:5956", + "issue:6164", + "issue:6224", + "issue:6536", + "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:5956|issue:6536", + "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" + ], + "prepared_review_unit_hash": "f719105a645b609284ca9fe9b132f784c8c39e79d8605eb5c9a52a06c0323a66", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "The cluster is heterogeneous: most items are distinct bug reports that only share broad terms like Flux, LoRA, training, or scheduler. I found no pair that looks like the same underlying issue/change, so all soft edges should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue is justified here because the items span separate failures (dataset loading, LoRA/Flux inference, training errors, scheduler bugs, import errors, and memory/offload issues) rather than one duplicate report.", + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue is needed, issue 5433 is the strongest candidate: it has concrete symptoms, high discussion/inbound activity, and is a well-formed user-facing bug report with clear repro context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5956", + "right": "issue:6536", + "accept": false, + "reason": "Different problems: SD-XL fine-tuning quality regression vs UNet3DConditionModel OOM." + }, + { + "left": "issue:7629", + "right": "issue:9309", + "accept": false, + "reason": "Unrelated bugs: PyTorch 1.13.1 OOM in SVD vs FluxControlNetPipeline on Flux schnell." + }, + { + "left": "issue:10017", + "right": "issue:7538", + "accept": false, + "reason": "Both mention dataset/training, but one is a load_dataset() issue and the other is a custom Fill50k training issue." + }, + { + "left": "issue:2272", + "right": "issue:3420", + "accept": false, + "reason": "Different code paths: ONNX conversion script failure vs ControlNet inpaint pipeline incompatibility." + }, + { + "left": "issue:10839", + "right": "issue:9732", + "accept": false, + "reason": "Both are Flux training reports, but one is a last-step error in Dreambooth LoRA training and the other is CUDA OOM in the README workflow." + }, + { + "left": "issue:3481", + "right": "issue:3494", + "accept": false, + "reason": "Related to generation/schedulers, but the symptoms and pipelines differ: nondeterminism across steps vs corrupted multidiffusion outputs." + }, + { + "left": "issue:2218", + "right": "issue:3348", + "accept": false, + "reason": "Overtrained-model behavior is not the same as xformers/Lora scale-parameter support." + }, + { + "left": "issue:8915", + "right": "issue:9410", + "accept": false, + "reason": "Both are import failures, but for different classes and symbols in different pipelines." + }, + { + "left": "issue:2891", + "right": "issue:490", + "accept": false, + "reason": "Docs/support mismatch for StableDiffusionUpscalePipeline embeds is unrelated to the memory issue in older Stable Diffusion." + }, + { + "left": "issue:2312", + "right": "issue:4306", + "accept": false, + "reason": "Different failures: EMA save-hook error vs StableDiffusionReferencePipeline list-index error." + }, + { + "left": "issue:8578", + "right": "issue:8644", + "accept": false, + "reason": "Both involve meta tensors/offload, but they are different setups and code paths (sd_turbo 1.5 vs SD3 T5 encoder offload)." + }, + { + "left": "issue:10180", + "right": "issue:9108", + "accept": false, + "reason": "Different Flux/LoRA training-vs-resume problems; one is loading multiple LoRAs, the other resuming with a quantized base model." + }, + { + "left": "issue:4631", + "right": "issue:720", + "accept": false, + "reason": "Similar scalar/Half runtime flavor, but they are different scheduler behaviors and different repros." + }, + { + "left": "issue:4619", + "right": "issue:7972", + "accept": false, + "reason": "Both are type-mismatch training issues, but for different scripts and failure modes." + }, + { + "left": "issue:10381", + "right": "issue:9096", + "accept": false, + "reason": "Both involve Flux inference instability, but one is quantization/LoRA/Quanto-related and the other is torch.half NaNs." + }, + { + "left": "issue:3235", + "right": "issue:4634", + "accept": false, + "reason": "Custom Diffusion loading vs safe-serialization support are different serialization issues." + }, + { + "left": "issue:6164", + "right": "issue:6996", + "accept": false, + "reason": "Different pipeline bugs: latent output handling vs NoneType added_cond_kwargs membership check." + }, + { + "left": "issue:6224", + "right": "issue:8514", + "accept": false, + "reason": "TorchDynamo fine-tuning issue and EMAModel/InstructP2P parallel fine-tuning error are separate training failures." + }, + { + "left": "issue:5433", + "right": "issue:5546", + "accept": false, + "reason": "Both mention SDXL schedulers, but one is visual artifacts without refiner and the other is wrong step counts with Karras sigmas." + }, + { + "left": "issue:5399", + "right": "issue:6540", + "accept": false, + "reason": "Different dtype/matrix errors in different finetuning/inference paths; not the same bug." + }, + { + "left": "issue:1896", + "right": "issue:5510", + "accept": false, + "reason": "Both are runtime dtype-ish errors, but in unrelated pipelines and with different root causes." + }, + { + "left": "issue:4446", + "right": "issue:8874", + "accept": false, + "reason": "Both concern from_single_file loading, but one is custom text encoder injection and the other is CKPT unpickling failure." + }, + { + "left": "issue:3432", + "right": "issue:5846", + "accept": false, + "reason": "Different problems: CPU half-precision conv failure vs resume_from_checkpoint error." + }, + { + "left": "issue:3651", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training failures, but they are distinct models 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": 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-50-3013", + "nodes": [ + "issue:10030", + "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: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:6996", + "issue:7168", + "issue:7420", + "issue:7480", + "issue:7722", + "issue:7848", + "issue:8624", + "issue:867", + "issue:8738", + "issue:9187", + "issue:9516", + "issue:9660", + "issue:993" + ], + "soft_pairs": [ + "issue:10030|issue:6996", + "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" + ], + "prepared_review_unit_hash": "77d4610275e0df1153393365cdec90e3dface97f457c37c3939858236fabc9eb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33565, + "estimated_input_tokens": 8392, + "estimated_eval_tokens": 17040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly false-positive topical similarity. The only plausible duplicate pair is the ControlNet/added_cond_kwargs None-handling regression; the rest appear to be different bugs, features, or unrelated pipeline/model issues.", + "confidence": 0.72, + "canonical_issue_reason": "issue:10030 is the clearest, most concrete report of the added_cond_kwargs null regression in ControlNet img2img, and it likely covers the symptom described in 6996.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10030 is the best representative issue: specific pipeline, clear failure mode, and easiest to map to a fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10030", + "right": "issue:6996", + "accept": true, + "reason": "Both describe the same underlying bug: code assumes added_cond_kwargs is a dict, but pipeline ControlNet/img2img can pass None, causing a null-membership/type error." + }, + { + "left": "issue:1166", + "right": "issue:4954", + "accept": false, + "reason": "Both are textual inversion issues, but one is TPU save hang and the other is an UnpicklingError; different failure modes." + }, + { + "left": "issue:2420", + "right": "issue:6363", + "accept": false, + "reason": "Different training problems: xformers attention bug vs FP16 gradient unscale error." + }, + { + "left": "issue:3064", + "right": "issue:5128", + "accept": false, + "reason": "Both involve .safetensors loading, but one is LoRA loading generally and the other is XLPipeline.from_single_file; not the same bug." + }, + { + "left": "issue:5845", + "right": "issue:9516", + "accept": false, + "reason": "Unrelated model families and failures: PixArt DreamBooth training vs FLUX joint_attention_kwargs propagation." + }, + { + "left": "issue:6894", + "right": "issue:7848", + "accept": false, + "reason": "Different outputs and code paths: LoRA export compatibility vs lpw SDXL decoding issue." + }, + { + "left": "issue:7168", + "right": "issue:7480", + "accept": false, + "reason": "IP-Adapter tensor-shape issue vs DeepFloyd IF OOM; no shared underlying bug." + }, + { + "left": "issue:1704", + "right": "issue:528", + "accept": false, + "reason": "Both are general questions, not the same topic or bug." + }, + { + "left": "issue:4993", + "right": "issue:5152", + "accept": false, + "reason": "Import-structure bug for CLIPImageProjection vs Wuerstchen alpha bug; unrelated." + }, + { + "left": "issue:5128", + "right": "issue:7722", + "accept": false, + "reason": "Local safetensors loading error vs Animatediff ControlNet/IPAdapter usage problem; different code paths." + }, + { + "left": "issue:11370", + "right": "issue:9187", + "accept": false, + "reason": "Different failures: invalid pickle/load-key in conversion script vs SDXL IP-Adapter image_encoder_folder=None regression." + }, + { + "left": "issue:4480", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related, but one is a kernel crash on fp16 and the other is an aten::index.Tensor NotImplementedError." + }, + { + "left": "issue:3826", + "right": "issue:5442", + "accept": false, + "reason": "Both are new pipeline proposals, but they are entirely different pipelines and changes." + }, + { + "left": "issue:10795", + "right": "issue:10937", + "accept": false, + "reason": "Both mention torch.compile, but one is GGUF loading via from_single_file and the other is vae.encode; different concrete problems." + }, + { + "left": "issue:11232", + "right": "issue:12547", + "accept": false, + "reason": "Noise residuals during fine-tuning vs missing required --instance_prompt; unrelated training issues." + }, + { + "left": "issue:4688", + "right": "issue:6726", + "accept": false, + "reason": "Different research/pipeline topics with no shared bug or code path." + }, + { + "left": "issue:1377", + "right": "issue:2414", + "accept": false, + "reason": "One is a missing transformers symbol import, the other is a NameError from not importing transformers; different root causes." + }, + { + "left": "issue:2225", + "right": "issue:5337", + "accept": false, + "reason": "A usage question about safety checker vs a callback explanation question; not duplicates." + }, + { + "left": "issue:11285", + "right": "issue:8624", + "accept": false, + "reason": "Conversion/value errors versus a runtime shared-library symbol error; not the same issue." + }, + { + "left": "issue:5617", + "right": "issue:7420", + "accept": false, + "reason": "Loading a compiled ControlNet pipeline after save_pretrained vs general inability to use torch.compile; different specifics." + }, + { + "left": "issue:5012", + "right": "issue:5821", + "accept": false, + "reason": "LoRA text-encoder training behavior vs a generic CUDA backward failure; unrelated." + }, + { + "left": "issue:867", + "right": "issue:993", + "accept": false, + "reason": "GPU memory leak in FastAPI vs fp16 data type mismatch; different bugs." + }, + { + "left": "issue:8738", + "right": "issue:9660", + "accept": false, + "reason": "Model configuration failure in SD3Transformer2DModel vs from_pretrained not setting eval mode; different behavior." + }, + { + "left": "issue:4448", + "right": "issue:4460", + "accept": false, + "reason": "Both discuss output differences, but one is ControlNet outpainting quality and the other is a broad Stable Diffusion vs diffusers comparison; too vague to merge." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The accepted 10030\u21946996 pair is well supported by the titles, which both point to the same added_cond_kwargs None-handling regression in ControlNet/img2img. The remaining pairs are rejected cautiously without overclaiming duplicate status, and the overall summary appropriately characterizes the rest as likely false-positive 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": 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-50-3013", + "nodes": [ + "issue:10194", + "issue:10972", + "issue:11062", + "issue:11145", + "issue:12299", + "issue:12348", + "issue:1398", + "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:4389", + "issue:4566", + "issue:4731", + "issue:4852", + "issue:5028", + "issue:5576", + "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:8493", + "issue:867", + "issue:8900", + "issue:9044", + "issue:9204", + "issue:9501", + "issue:9613", + "issue:9902" + ], + "soft_pairs": [ + "issue:4389|issue:8493", + "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" + ], + "prepared_review_unit_hash": "3a0919571159a037211db661eca6a7ceff4ee57570174e4921318d7b479af300", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33133, + "estimated_input_tokens": 8284, + "estimated_eval_tokens": 16824 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is heterogeneous: most items are separate bugs, feature requests, or training/loading problems that only share broad ML/Flux/SDXL vocabulary. I would not collapse any of the soft pairs as duplicates.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10972 is the strongest concrete bug report in the broad Flux/LoRA area, with a specific failing code path (loading OneTrainer Flux LoRAs). It is still not a true cluster representative for the rest, which span unrelated pipelines and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10972 has the clearest actionable reproduction and a narrowly defined failure mode, making it the best issue anchor among this mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4389", + "right": "issue:8493", + "accept": false, + "reason": "Different loading failures: ControlNetModel init vs SD3Transformer2DModel state_dict mismatch. Not the same code path." + }, + { + "left": "issue:2156", + "right": "issue:2480", + "accept": false, + "reason": "One is GPU-vs-CPU training execution, the other is checkpoint directory layout/output saving. Separate bugs." + }, + { + "left": "issue:3826", + "right": "issue:5576", + "accept": false, + "reason": "A new pipeline request is not the same as a new scheduler request; different artifact and scope." + }, + { + "left": "issue:7311", + "right": "issue:9501", + "accept": false, + "reason": "Both involve training/save behavior, but one is a checkpoint save failure and the other is delayed model saving in Flux. Not one bug." + }, + { + "left": "issue:7871", + "right": "issue:8900", + "accept": false, + "reason": "Blockwise scale handling in a LoRA file is unrelated to loading an SDXL refiner from_single_file." + }, + { + "left": "issue:1398", + "right": "issue:867", + "accept": false, + "reason": "MPS/Apple Silicon compatibility and FastAPI GPU memory retention are unrelated runtime issues." + }, + { + "left": "issue:3975", + "right": "issue:7871", + "accept": false, + "reason": "A typo in an error message is unrelated to a LoRA/blockwise-scale loading failure." + }, + { + "left": "issue:7296", + "right": "issue:9902", + "accept": false, + "reason": "PEFT dependency pinning and a stuck conda version are distinct packaging/versioning problems." + }, + { + "left": "issue:3101", + "right": "issue:4206", + "accept": false, + "reason": "Both mention ControlNet training, but one is a training example error and the other is a broken SDXL main-branch behavior." + }, + { + "left": "issue:2371", + "right": "issue:2465", + "accept": false, + "reason": "Dreambooth output artifacts missing vs asking for a reproducible recipe are not duplicate bug reports." + }, + { + "left": "issue:4566", + "right": "issue:7350", + "accept": false, + "reason": "Checkpoint resume in SDXL LoRA training is unrelated to 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 and trigger conditions." + }, + { + "left": "issue:5028", + "right": "issue:5799", + "accept": false, + "reason": "Different API/runtime errors in different pipelines: hacked DownBlock2D scale kwarg vs inpainting strength kwarg." + }, + { + "left": "issue:10194", + "right": "issue:11145", + "accept": false, + "reason": "One is a Flux attention-masking feature request; the other is Flux Fill LoRA/DreamBooth support. Related theme, not same change." + }, + { + "left": "issue:2264", + "right": "issue:4306", + "accept": false, + "reason": "InstructPix2Pix seed handling and ReferencePipeline list-index failure are different pipeline bugs." + }, + { + "left": "issue:10972", + "right": "issue:11062", + "accept": false, + "reason": "Both are LoRA loading failures, but for different model families and error modes; not clearly the same defect." + }, + { + "left": "issue:2331", + "right": "issue:6372", + "accept": false, + "reason": "Adding a ControlNet pipeline and SVD+ControlNet support are different feature requests." + }, + { + "left": "issue:6093", + "right": "issue:9204", + "accept": false, + "reason": "Push-to-hub repo creation in one SDXL training script is unrelated to the FLUX.1 DreamBooth training script issue." + }, + { + "left": "issue:4353", + "right": "issue:6258", + "accept": false, + "reason": "Both involve image quality, but one is SDXL generation quality and the other is forward-chunking degradation in SVD." + }, + { + "left": "issue:6092", + "right": "issue:9044", + "accept": false, + "reason": "A LoRA example not training and a missing diffusion_pytorch_model.bin file are unrelated load/train problems." + }, + { + "left": "issue:3174", + "right": "issue:4852", + "accept": false, + "reason": "Both mention LoRA loading, but one is a broader regression from new LoRA features while the other is a standalone load error. Not enough to merge." + }, + { + "left": "issue:7716", + "right": "issue:7936", + "accept": false, + "reason": "Missing config.json in a directory and invalid JSON when loading a safetensors file are different file-format/path errors." + }, + { + "left": "issue:7629", + "right": "issue:9613", + "accept": false, + "reason": "OOM on PyTorch 1.13.1 and a missing scale attribute on Timesteps are unrelated compatibility bugs." + }, + { + "left": "issue:4375", + "right": "issue:4731", + "accept": false, + "reason": "Both involve torch.compile, but one is a general inference crash and the other is multi-ControlNet SDXL compile failure. Different 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": 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-50-3013", + "nodes": [ + "issue:10016", + "issue:10428", + "issue:10470", + "issue:10591", + "issue:10797", + "issue:10928", + "issue:1141", + "issue:1486", + "issue:1552", + "issue:1720", + "issue:1865", + "issue:1922", + "issue:1925", + "issue:1946", + "issue:2210", + "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:5606", + "issue:5661", + "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:1922|issue:5661", + "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" + ], + "prepared_review_unit_hash": "294acd5f937eb8e73fefe529554ec801070048f94330098cb8d056e2ae54679c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33332, + "estimated_input_tokens": 8333, + "estimated_eval_tokens": 16922 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous. Most pairings are clearly different bugs or feature requests from the titles alone. The only near-match is the two `from_single_file` shape-mismatch reports, but with title-only evidence and different models/pipelines, it should stay uncertain rather than accepted.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:6183 is the clearest representative of the `from_single_file` shape-mismatch theme, but the packet does not justify treating it as a confirmed duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1922", + "right": "issue:5661", + "accept": false, + "reason": "Both involve missing names/imports, but they are different symbols in different contexts: notebook helper vs tokenizer typing/import issue." + }, + { + "left": "issue:2210", + "right": "issue:6722", + "accept": false, + "reason": "Both mention text encoders, but one is about training LoRA on the text encoder and the other is about using SigLIP as the text encoder." + }, + { + "left": "issue:10016", + "right": "issue:6183", + "accept": false, + "reason": "Close on `from_single_file` and shape mismatch, but the packet only gives titles and the pipelines/models differ (SD3.5M vs SDXL), so this is too uncertain to merge as a duplicate." + }, + { + "left": "issue:1552", + "right": "issue:5447", + "accept": false, + "reason": "Different failure modes in different pipeline/scheduler paths: attention slicing vs `denoising_start` with 2nd-order schedulers." + }, + { + "left": "issue:4125", + "right": "issue:6362", + "accept": false, + "reason": "One is about whether a loss curve looks expected; the other is an OOM during dataset mapping. Different problems." + }, + { + "left": "issue:3296", + "right": "issue:5125", + "accept": false, + "reason": "Checkpoint save/load with text encoder is unrelated to an XFormers CUDA invalid-configuration error." + }, + { + "left": "issue:10428", + "right": "issue:10470", + "accept": false, + "reason": "Both are Flux-related, but Ascend NPU inference and torchao inference are different environments and code paths." + }, + { + "left": "issue:4376", + "right": "issue:6527", + "accept": false, + "reason": "StableDiffusionXL textual inversion crash and EulerDiscreteScheduler `add_noise` bug are different subsystems." + }, + { + "left": "issue:1486", + "right": "issue:4468", + "accept": false, + "reason": "DDIMScheduler prediction type behavior is unrelated to multi-GPU vs single-GPU sample-code performance." + }, + { + "left": "issue:4773", + "right": "issue:4975", + "accept": false, + "reason": "Both are about LoRA loading, but one is a CivitAI loading issue and the other is inefficient datatype querying." + }, + { + "left": "issue:10470", + "right": "issue:10797", + "accept": false, + "reason": "Flux torchao inference and HunyuanVideo group offloading affect different pipelines and failure modes." + }, + { + "left": "issue:6385", + "right": "issue:7146", + "accept": false, + "reason": "Both are memory complaints, but StableVideoDiffusionPipeline VRAM usage and SDXL fine-tuning OOM are separate issues." + }, + { + "left": "issue:1925", + "right": "issue:4427", + "accept": false, + "reason": "Inpainting half-precision failure and T2I Multiadapter example breakage are different features and bugs." + }, + { + "left": "issue:3224", + "right": "issue:3452", + "accept": false, + "reason": "Learning-rate scaling duplication is unrelated to low-VRAM Dreambooth training." + }, + { + "left": "issue:409", + "right": "issue:785", + "accept": false, + "reason": "Missing `enable_attention_slicing` vs PNDMScheduler performance cost are not the same defect." + }, + { + "left": "issue:6176", + "right": "issue:6602", + "accept": false, + "reason": "Both involve LoRA/save-load workflows, but they hit different code paths: loading after Dreambooth-LoRA training vs loading after `fuse_lora()`/`save_pretrained()`." + }, + { + "left": "issue:6280", + "right": "issue:7784", + "accept": false, + "reason": "Missing `from_single_file` on one pipeline and missing `upcast_vae` on another are unrelated API issues." + }, + { + "left": "issue:6382", + "right": "issue:7480", + "accept": false, + "reason": "IP-adapter key error after LCM LoRA training and DeepFloyd IF OOM are unrelated." + }, + { + "left": "issue:5606", + "right": "issue:9803", + "accept": false, + "reason": "Both are LoRA loading failures, but one is about missing alpha handling and the other is a Flux-specific loading failure." + }, + { + "left": "issue:1720", + "right": "issue:2442", + "accept": false, + "reason": "M1 finetuning errors and an expected-loss-curve question for inpainting are different topics." + }, + { + "left": "issue:1865", + "right": "issue:1946", + "accept": false, + "reason": "Zero-stage-3 finetuning dimension errors and XFormers CUDA invalid-argument errors come from different subsystems." + }, + { + "left": "issue:10591", + "right": "issue:6632", + "accept": false, + "reason": "One reports a problem in an SD3 LoRA training script; the other asks whether `save_state` is necessary. Not a duplicate bug." + }, + { + "left": "issue:10928", + "right": "issue:7267", + "accept": false, + "reason": "Missing a specific UNet weight file and broken local dataset loading in `train_controlnet.py` are different file/loading failures." + }, + { + "left": "issue:1141", + "right": "issue:699", + "accept": false, + "reason": "Local file support in custom pipelines and negative prompts are unrelated feature requests." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Most of the negative pairwise judgments look conservative and are supported by the titles. However, the one accepted duplicate pair is a bit too strong for the evidence in the packet: issue:10016 and issue:6183 both involve `from_single_file` and shape mismatches, but the packet only gives titles, and the models/pipelines differ (SD3.5M vs SDXL) with no body-level confirmation that this is the same bug. I\u2019d keep that pair soft/uncertain rather than accepted." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10016", + "issue:10315", + "issue:10526", + "issue:10866", + "issue:11178", + "issue:11702", + "issue:12047", + "issue:13107", + "issue:1434", + "issue:1823", + "issue:2163", + "issue:228", + "issue:2696", + "issue:3223", + "issue:3379", + "issue:3452", + "issue:3658", + "issue:4080", + "issue:4316", + "issue:434", + "issue:435", + "issue:4446", + "issue:4724", + "issue:5044", + "issue:547", + "issue:5515", + "issue:6092", + "issue:6443", + "issue:6812", + "issue:6821", + "issue:7079", + "issue:7133", + "issue:7228", + "issue:7354", + "issue:7480", + "issue:7695", + "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:1823|issue:547", + "issue:228|issue:547", + "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" + ], + "prepared_review_unit_hash": "1d405cb13478283e2f32598d4bd739ab6a373c78e1c8b8adff640d75d35e3ce6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33509, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 + }, + "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. The set is a grab bag of unrelated loading, training, OOM, scheduler, and LoRA issues that only share broad diffusers/modeling vocabulary.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10016 is the best representative only in the sense that it is a precise, concrete bug report with a clear failure mode and reproducible load path; the cluster as a whole is not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10016 has the clearest scoped symptom and strongest bug-report quality among the issues, making it the least-bad representative if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1823", + "right": "issue:547", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to documentation about loading stable diffusion locally." + }, + { + "left": "issue:228", + "right": "issue:547", + "accept": false, + "reason": "Broken model link is a release artifact problem, not a documentation issue." + }, + { + "left": "issue:3379", + "right": "issue:945", + "accept": false, + "reason": "Dreambooth checkpoint loading and ONNX custom checkpoint conversion are different code paths and failures." + }, + { + "left": "issue:3452", + "right": "issue:3658", + "accept": false, + "reason": "Low-VRAM Dreambooth training request is not the same as the additional-noise-latents bug in upsampler scripts." + }, + { + "left": "issue:4080", + "right": "issue:8482", + "accept": false, + "reason": "Adding SDXL inpainting support is a feature request, not the same as SD3.5 support." + }, + { + "left": "issue:434", + "right": "issue:435", + "accept": false, + "reason": "Training notebook breakage and AutoencoderKLOutput.sample error are related only by notebook context, not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:7695", + "accept": false, + "reason": "SDXL img2img behavior and ip_adapter_masks warnings in attention are different problems." + }, + { + "left": "issue:5515", + "right": "issue:8464", + "accept": false, + "reason": "LCM scheduler initialization failure and SEGA seed/offload failure are different pipeline bugs." + }, + { + "left": "issue:6812", + "right": "issue:6821", + "accept": false, + "reason": "LoRA Q/K/V dtype mismatch and caption_column validation error are unrelated training-script issues." + }, + { + "left": "issue:7133", + "right": "issue:9358", + "accept": false, + "reason": "Checkpoint resume size mismatch in SDXL DreamBooth LoRA is not the same as redundant text-encoder reinit in Flux LoRA training." + }, + { + "left": "issue:6092", + "right": "issue:9164", + "accept": false, + "reason": "LoRA example not training and dog example not converging are both training complaints but not the same concrete defect." + }, + { + "left": "issue:5044", + "right": "issue:8874", + "accept": false, + "reason": "Kandinsky 2.2 load failure and CKPT unpickling failure are different load mechanisms and errors." + }, + { + "left": "issue:1434", + "right": "issue:7480", + "accept": false, + "reason": "Upscaling OOM in StableDiffusionUpscalePipeline is unrelated to DeepFloyd IF memory usage." + }, + { + "left": "issue:2163", + "right": "issue:4316", + "accept": false, + "reason": "UNet dtype mismatch in text-to-image training is not the same as validation-option failure in DreamBooth." + }, + { + "left": "issue:11702", + "right": "issue:13107", + "accept": false, + "reason": "AccVid LoRA key errors and Flux Klein LoRA missing keys are different model/LoRA compatibility issues." + }, + { + "left": "issue:2696", + "right": "issue:3223", + "accept": false, + "reason": "Torch CUDA not compiled and RAM not cleared after moving pipeline to cuda are unrelated environment/runtime issues." + }, + { + "left": "issue:7079", + "right": "issue:7228", + "accept": false, + "reason": "Transformer2DModel patch/norm error and traced-model missing dtype are distinct model API bugs." + }, + { + "left": "issue:4446", + "right": "issue:8589", + "accept": false, + "reason": "Custom text_encoder loading in from_single_file is not the same as SD3 DreamBooth prior-preservation training." + }, + { + "left": "issue:6443", + "right": "issue:7354", + "accept": false, + "reason": "SAGPipeline scheduler compatibility and PNDMScheduler incompatibility with DDPMPipeline are different scheduler/pipeline mismatches." + }, + { + "left": "issue:10526", + "right": "issue:9514", + "accept": false, + "reason": "optimum.quanto FP8 tensor construction error and LoRA loading after fp8 quantisation are related only broadly to quantization." + }, + { + "left": "issue:10016", + "right": "issue:11178", + "accept": false, + "reason": "Both are from_single_file loading errors, but one is SD3.5M pos_embed shape mismatch and the other is MistoLine ControlNet loading; different models and failure modes." + }, + { + "left": "issue:9767", + "right": "issue:9914", + "accept": false, + "reason": "FluxImg2Img cuDNN frontend error and Xlabs-trained LoRA loading fix proposal are not the same underlying bug." + }, + { + "left": "issue:10315", + "right": "issue:8477", + "accept": false, + "reason": "CogVideo training error and distributed consistency-script error are unrelated training failures." + }, + { + "left": "issue:10866", + "right": "issue:12047", + "accept": false, + "reason": "Lumina Image 2.0 LoRA incompatibility and Wan2.2 GGUF LoRA fusion failure are different model-family 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": 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-50-3013", + "nodes": [ + "issue:10231", + "issue:1037", + "issue:10639", + "issue:11136", + "issue:1141", + "issue:12047", + "issue:12329", + "issue:13079", + "issue:1407", + "issue:1537", + "issue:1541", + "issue:1974", + "issue:2107", + "issue:2156", + "issue:2444", + "issue:2465", + "issue:2781", + "issue:3182", + "issue:3420", + "issue:3984", + "issue:4134", + "issue:4236", + "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:771", + "issue:7931", + "issue:8874", + "issue:8885", + "issue:8939", + "issue:9052", + "issue:9558", + "issue:9729", + "issue:9873" + ], + "soft_pairs": [ + "issue:4236|issue:771", + "issue:1407|issue:3984", + "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" + ], + "prepared_review_unit_hash": "6ebdcacae71824e7bb291e9e25f334f14a002b52a213f814f692497948484cc9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34596, + "estimated_input_tokens": 8649, + "estimated_eval_tokens": 17554 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a false-positive cluster: the items span unrelated issues across tutorials, training scripts, pipeline support, model loading, and device/runtime errors. None of the soft pairs appear to be the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits this set; the items are thematically broad but not duplicate-convergent, so the cluster should be split rather than anchored to one issue.", + "canonical_pr_reason": null, + "best_issue_reason": "None of the issues is a strong global canonical for the whole set because they address different code paths and product areas; the safest triage is no global issue canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4236", + "right": "issue:771", + "accept": false, + "reason": "Both mention SD/model incompatibility, but one is an SDXL refiner registration issue and the other is a BF16+Dreambooth problem; different bugs." + }, + { + "left": "issue:1407", + "right": "issue:3984", + "accept": false, + "reason": "One is an ONNX pipeline missing feature_extractor, the other is a class_labels validation error; unrelated failure modes." + }, + { + "left": "issue:4398", + "right": "issue:6492", + "accept": false, + "reason": "Both describe black images, but one is an SDXL LoRA-dreambooth pipeline and the other is generic image generation; too broad to treat as the same bug." + }, + { + "left": "issue:2107", + "right": "issue:6815", + "accept": false, + "reason": "Both involve bad low-resolution/black outputs, but one is about sub-512 image resolution glitches and the other is a tensorboard casting warning; not the same code path." + }, + { + "left": "issue:2444", + "right": "issue:4639", + "accept": false, + "reason": "Both are training-script errors, but one is dreambooth inpaint subprocess failure and the other is SDXL instruct-pix2pix dataloader multiprocessing; different causes." + }, + { + "left": "issue:1037", + "right": "issue:1141", + "accept": false, + "reason": "A community pipeline request and local-file support for custom pipelines are different feature requests." + }, + { + "left": "issue:10639", + "right": "issue:9873", + "accept": false, + "reason": "Both are model/pipeline additions, but Lumina-Image 2.0 and OmniGen are distinct model integrations." + }, + { + "left": "issue:2156", + "right": "issue:2465", + "accept": false, + "reason": "One reports CPU-only Dreambooth training; the other asks for a reproducible recipe. Same topic, not the same bug." + }, + { + "left": "issue:2781", + "right": "issue:5919", + "accept": false, + "reason": "Distributed training _cuda_setDevice error and LoRA layer attribute error are unrelated runtime issues." + }, + { + "left": "issue:5557", + "right": "issue:9729", + "accept": false, + "reason": "Both mention unexpected arguments, but one is use_reentrant and the other is save_model on T5EncoderModel; different API mismatches." + }, + { + "left": "issue:7418", + "right": "issue:8939", + "accept": false, + "reason": "The first is a bug in a community upscale script; the second is a tokenizer loading failure for SD3. Different subsystems." + }, + { + "left": "issue:6832", + "right": "issue:7931", + "accept": false, + "reason": "Both involve IP-Adapter-like image handling, but one is a tuple/shape crash and the other is ControlNet inpaint with ip_adapter_image_embeds; not the same defect." + }, + { + "left": "issue:12047", + "right": "issue:12329", + "accept": false, + "reason": "Both concern Wan model variants, but one is LoRA fusion failing on Wan2.2 GGUF and the other is incorrect transformer version selection; separate bugs." + }, + { + "left": "issue:5520", + "right": "issue:7591", + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is generic deserialization and the other is from_single_file with local_files_only; not enough to merge." + }, + { + "left": "issue:5619", + "right": "issue:9558", + "accept": false, + "reason": "Both end up with black images, but one is an AutoencodeTiny LCM img2img encode bug and the other is tensorboard validation display; different failure points." + }, + { + "left": "issue:8874", + "right": "issue:9052", + "accept": false, + "reason": "Both are from_single_file checkpoint-loading problems, but one is a PyTorch unpickling/weights-only failure and the other is civit checkpoint compatibility; likely different root causes." + }, + { + "left": "issue:6870", + "right": "issue:7492", + "accept": false, + "reason": "One is missing enable_vae_tiling on img2img/inpaint, the other is a repository lookup failure for a T2I adapter URL; unrelated." + }, + { + "left": "issue:3182", + "right": "issue:3420", + "accept": false, + "reason": "Both are pipeline incompatibilities, but one is CPU offload with a custom LPW pipeline and the other is a ControlNet inpaint pipeline vs diffusion pipeline mismatch." + }, + { + "left": "issue:6230", + "right": "issue:6791", + "accept": false, + "reason": "Both are SDXL training script problems, but one is CUDA OOM and the other is a script that cannot run at all; not the same bug." + }, + { + "left": "issue:1537", + "right": "issue:4134", + "accept": false, + "reason": "Apple MPS scheduler behavior and ControlNet tensor-size mismatch are different device/model issues." + }, + { + "left": "issue:1541", + "right": "issue:4488", + "accept": false, + "reason": "Dreambooth CKPT model-type detection and SDXL checkpoint loading without pipeline_class are separate loading problems." + }, + { + "left": "issue:11136", + "right": "issue:13079", + "accept": false, + "reason": "A SanaSprint timestep limitation and a FLUX.2-klein CUDA OOM loop issue are unrelated." + }, + { + "left": "issue:1974", + "right": "issue:5447", + "accept": false, + "reason": "Euler generator-list reproducibility and SDXL img2img denoising_start with 2nd-order schedulers do not describe the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8885", + "accept": false, + "reason": "Ubuntu tutorial ImportError and custom diffusion dependency/token loading issues 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": 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-50-3013", + "nodes": [ + "issue:10281", + "issue:1049", + "issue:11088", + "issue:11135", + "issue:1141", + "issue:11978", + "issue:12047", + "issue:12149", + "issue:12547", + "issue:12574", + "issue:12722", + "issue:13079", + "issue:13232", + "issue:1614", + "issue:1730", + "issue:2747", + "issue:2785", + "issue:3045", + "issue:3740", + "issue:4002", + "issue:4213", + "issue:4321", + "issue:457", + "issue:4892", + "issue:4974", + "issue:5004", + "issue:5475", + "issue:5605", + "issue:5628", + "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:9161", + "issue:9186", + "issue:9227", + "issue:9448", + "issue:9576", + "issue:9673", + "issue:9942" + ], + "soft_pairs": [ + "issue:3740|issue:4213", + "issue:11088|issue:12047", + "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" + ], + "prepared_review_unit_hash": "d4d00419f278de49a4dcd454632bdf42324014cc7629a2f11e126c85abf90376", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34416, + "estimated_input_tokens": 8604, + "estimated_eval_tokens": 17464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a noisy mix of unrelated feature requests, docs issues, training bugs, model-support requests, and runtime errors; none of the soft pairs look like true duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No suitable canonical issue: the items span unrelated topics, so there is no single issue that represents the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: the cluster is too heterogeneous for one issue to serve as a meaningful duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3740", + "right": "issue:4213", + "accept": false, + "reason": "Both mention conversion/loading paths, but one is legacy attention conversion with accelerate device_map and the other is SD-XL from_single_file without accelerate; different bugs." + }, + { + "left": "issue:11088", + "right": "issue:12047", + "accept": false, + "reason": "Both involve Wan/GGUF, but one is a transformer load error and the other is LoRA fusion failing; not the same code path or fix." + }, + { + "left": "issue:1049", + "right": "issue:2747", + "accept": false, + "reason": "These are both doc-related, but they request different documentation updates and are not duplicates of the same missing docs item." + }, + { + "left": "issue:1141", + "right": "issue:5605", + "accept": false, + "reason": "Local-file support in custom pipelines is unrelated to per-image caption support for SDXL DreamBooth." + }, + { + "left": "issue:1614", + "right": "issue:4321", + "accept": false, + "reason": "Both report bad images, but one is MPS/autocast black output in SD 2.1 and the other is DirectML FP16 ONNX black images; different backends and failures." + }, + { + "left": "issue:4002", + "right": "issue:7882", + "accept": false, + "reason": "Both mention missing from_single_file support, but they target different pipelines and model types, so they are not the same feature request." + }, + { + "left": "issue:5873", + "right": "issue:7053", + "accept": false, + "reason": "ONNX export of scaled_dot_product_attention is a conversion/export issue, while UNet3DConditionModel class conditioning is a model API bug." + }, + { + "left": "issue:12547", + "right": "issue:12574", + "accept": false, + "reason": "One is a Dreambooth Flux Kontext training CLI argument requirement, the other is WanVideoToVideoPipeline control-argument handling; distinct bugs." + }, + { + "left": "issue:7168", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter tensor handling, but one is about obtaining correct embeddings and the other is a tuple-shape error in ControlNet inpaint; not the same report." + }, + { + "left": "issue:4892", + "right": "issue:5475", + "accept": false, + "reason": "TokenFlow video editing and LaVie video generation are different pipeline requests with different goals and implementations." + }, + { + "left": "issue:9161", + "right": "issue:9227", + "accept": false, + "reason": "Both are about train_dreambooth_lora_flux.py, but one reports distributed bugs generally and the other is a specific FLUX.1-dev model run failure." + }, + { + "left": "issue:1730", + "right": "issue:7752", + "accept": false, + "reason": "Converting Dreambooth safetensors to CKPT is unrelated to the question about num_class-images during stable diffusion training." + }, + { + "left": "issue:10281", + "right": "issue:11135", + "accept": false, + "reason": "FreeScale scheduler support and the SmoothCache new pipeline request are unrelated diffusion features." + }, + { + "left": "issue:12722", + "right": "issue:13079", + "accept": false, + "reason": "Kaggle Qwen-image usage and FLUX.2-klein CUDA OOM are different models and different failure modes." + }, + { + "left": "issue:3045", + "right": "issue:4974", + "accept": false, + "reason": "Both are about converting safetensors, but one is LoRA-to-diffusers conversion and the other is generic model conversion; not the same issue." + }, + { + "left": "issue:7882", + "right": "issue:9186", + "accept": false, + "reason": "Missing from_single_file for t2i-adapter is a support request, while differential diffusion with ControlNet is a different pipeline feature request." + }, + { + "left": "issue:457", + "right": "issue:660", + "accept": false, + "reason": "Both target MPS, but one is blue artifacts and the other is fp16 revision/dtype loading; different problems." + }, + { + "left": "issue:11978", + "right": "issue:13232", + "accept": false, + "reason": "Bria 3.2 pipeline support and LTX-2.3 support are separate model integration requests." + }, + { + "left": "issue:12149", + "right": "issue:9942", + "accept": false, + "reason": "Both are packaging/version complaints, but one says pip diffusers 0.34.0 does not match source and the other is inability to install diffusers>=0.32.0dev; not duplicates." + }, + { + "left": "issue:7080", + "right": "issue:7142", + "accept": false, + "reason": "ControlNet training inference output mismatch and SDXL-lightning inference mismatch with webui are different comparison bugs." + }, + { + "left": "issue:9576", + "right": "issue:9673", + "accept": false, + "reason": "Passing use_safetensors to submodules on load and high CPU when loading multiple LoRAs are unrelated loading bugs." + }, + { + "left": "issue:5628", + "right": "issue:6232", + "accept": false, + "reason": "LMS scheduler Karras sigma offset and DPMSolverSinglestepScheduler add_noise failure are separate scheduler-specific bugs." + }, + { + "left": "issue:2785", + "right": "issue:6928", + "accept": false, + "reason": "M1/M2 text-to-video support is unrelated to disabling depthmap colorization in the Marigold pipeline." + }, + { + "left": "issue:5004", + "right": "issue:6093", + "accept": false, + "reason": "SDXL Dreambooth resume-at-fp16 training and push_to_hub behavior in a consistency-model LoRA script are unrelated training issues." + }, + { + "left": "issue:4213", + "right": "issue:7978", + "accept": false, + "reason": "from_single_file without accelerate and a torchvision::nms install/runtime error are completely 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": 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-50-3013", + "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:1931", + "issue:2107", + "issue:2673", + "issue:2838", + "issue:3182", + "issue:4104", + "issue:4185", + "issue:4368", + "issue:4402", + "issue:4476", + "issue:4605", + "issue:4726", + "issue:4806", + "issue:5215", + "issue:5399", + "issue:5509", + "issue:5630", + "issue:5719", + "issue:5897", + "issue:6164", + "issue:6362", + "issue:7003", + "issue:7267", + "issue:7354", + "issue:7660", + "issue:8464", + "issue:8729", + "issue:8792", + "issue:8826", + "issue:8839", + "issue:8900", + "issue:9523", + "issue:9637", + "issue:9717", + "issue:9767", + "issue:9856" + ], + "soft_pairs": [ + "issue:5630|issue:8792", + "issue:2107|issue:4104", + "issue:4402|issue:8900", + "issue:12459|issue:9717", + "issue:4726|issue:4806", + "issue:5897|issue:8826", + "issue:10650|issue:7003", + "issue:8464|issue:9637", + "issue:10447|issue:7267", + "issue:6362|issue:9523", + "issue:2673|issue:3182", + "issue:4368|issue:8729", + "issue:12396|issue:9856", + "issue:5399|issue:5509", + "issue:1037|issue:2838", + "issue:1125|issue:4605", + "issue:8839|issue:9767", + "issue:1811|issue:5719", + "issue:4185|issue:4476", + "issue:1931|issue:6164", + "issue:7354|issue:7660", + "issue:12533|issue:12536", + "issue:10550|issue:10594", + "issue:1434|issue:5215" + ], + "prepared_review_unit_hash": "397b5c2b4b5662c734651142296b856d881e407c875590851799c93f9607e703", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34685, + "estimated_input_tokens": 8672, + "estimated_eval_tokens": 17600 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one soft pair is a clear duplicate: the two issues about preferring .safetensors/.bin weights when both exist. The rest are topic-adjacent at best but describe different pipelines, symptoms, or code paths.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 1811 is the cleaner canonical because it states the exact file-selection bug in `from_pretrained` and is phrased as the underlying behavior to fix; 5719 is the same bug from the LoRA-loading path and is narrower.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1811 is the best representative overall: specific, actionable, and clearly about a single loader bug rather than a broad symptom report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5630", + "right": "issue:8792", + "accept": false, + "reason": "Both involve SDXL image quality, but one is about LMS scheduler leftovers in img2img and the other is a general migration-quality complaint; not the same concrete bug." + }, + { + "left": "issue:2107", + "right": "issue:4104", + "accept": false, + "reason": "Both mention black/glitchy images, but 2107 is resolution-specific while 4104 is tied to an invalid-cast warning; likely different failure modes." + }, + { + "left": "issue:4402", + "right": "issue:8900", + "accept": false, + "reason": "Both use `from_single_file`, but they concern different SDXL models and different loading problems; not one shared bug." + }, + { + "left": "issue:12459", + "right": "issue:9717", + "accept": false, + "reason": "Throughput in batch inference and a docker image launch error are unrelated." + }, + { + "left": "issue:4726", + "right": "issue:4806", + "accept": false, + "reason": "Both are type-related API issues, but they affect different symbols and likely different fixes." + }, + { + "left": "issue:5897", + "right": "issue:8826", + "accept": false, + "reason": "LoRA training device-mismatch and an empty-list `torch.cat` error are distinct runtime problems." + }, + { + "left": "issue:10650", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape mismatch errors, but they occur on different models/pipelines and point to different expected tensor layouts." + }, + { + "left": "issue:8464", + "right": "issue:9637", + "accept": false, + "reason": "CPU offload plus seed handling is unrelated to xFormers attention-mask/bfloat shape constraints." + }, + { + "left": "issue:10447", + "right": "issue:7267", + "accept": false, + "reason": "A conversion script splitting UNet weights is unrelated to broken local data loading in a training script." + }, + { + "left": "issue:6362", + "right": "issue:9523", + "accept": false, + "reason": "Both mention dataset mapping, but one is an OOM during fine-tuning and the other is an error in specific controlnet training scripts; too broad to be the same bug." + }, + { + "left": "issue:2673", + "right": "issue:3182", + "accept": false, + "reason": "Upscale pipeline config/image input errors are unrelated to custom pipeline CPU offload incompatibility." + }, + { + "left": "issue:4368", + "right": "issue:8729", + "accept": false, + "reason": "LoRA training OOM and an unexpected validation image in a controlnet training script are different issues." + }, + { + "left": "issue:12396", + "right": "issue:9856", + "accept": false, + "reason": "Adapter deletion/leaf-level errors are unrelated to distributed port conflicts." + }, + { + "left": "issue:5399", + "right": "issue:5509", + "accept": false, + "reason": "A dtype mismatch in custom inpainting is not the same as image batch-size validation for numpy/cv2 inputs." + }, + { + "left": "issue:1037", + "right": "issue:2838", + "accept": false, + "reason": "A request to add a pipeline and a request to support a controlnet pipeline without control are not duplicates." + }, + { + "left": "issue:1125", + "right": "issue:4605", + "accept": false, + "reason": "Both mention inpaint-related errors, but the pipelines and reported failures differ; not enough evidence of one shared bug." + }, + { + "left": "issue:8839", + "right": "issue:9767", + "accept": false, + "reason": "LoRA weight errors on SD3 and a cuDNN frontend error on Flux Img2Img are unrelated." + }, + { + "left": "issue:1811", + "right": "issue:5719", + "accept": true, + "reason": "Both report the same loader-selection bug: when both `.bin` and `.safetensors` are present, the code should prefer one instead of treating them as multiple files." + }, + { + "left": "issue:4185", + "right": "issue:4476", + "accept": false, + "reason": "Both touch SDXL ControlNet, but one is about black images at inference and the other about unexpected results on a training dataset; different bugs." + }, + { + "left": "issue:1931", + "right": "issue:6164", + "accept": false, + "reason": "Float16 dtype handling and latent output-type handling are separate pipeline behaviors." + }, + { + "left": "issue:7354", + "right": "issue:7660", + "accept": false, + "reason": "Scheduler compatibility with DDPMPipeline is unrelated to a trace example failure." + }, + { + "left": "issue:12533", + "right": "issue:12536", + "accept": false, + "reason": "Both involve context parallelism, but one is a hook conflict with CPU offload and the other is a mesh-size divisibility assertion; different code paths." + }, + { + "left": "issue:10550", + "right": "issue:10594", + "accept": false, + "reason": "Loading LoRA into a quantized base model and using multiple controls with LoRA on FLUX are different problems." + }, + { + "left": "issue:1434", + "right": "issue:5215", + "accept": false, + "reason": "Upscale OOM at larger resolutions and brightness shifts for dark images are unrelated symptoms." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge calls are conservative. The only accepted pair, 1811/5719, is reasonably supported as the same loader-selection bug, while the rest are plausibly different bugs/code paths based on the titles and metadata 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": 164, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10026", + "issue:10287", + "issue:10804", + "issue:10952", + "issue:11024", + "issue:11651", + "issue:11687", + "issue:11700", + "issue:12082", + "issue:12299", + "issue:12529", + "issue:13162", + "issue:1544", + "issue:1925", + "issue:202", + "issue:2036", + "issue:2068", + "issue:2234", + "issue:2462", + "issue:3595", + "issue:3886", + "issue:4001", + "issue:4080", + "issue:4186", + "issue:4265", + "issue:4453", + "issue:4488", + "issue:4801", + "issue:4840", + "issue:5344", + "issue:5545", + "issue:5577", + "issue:5783", + "issue:6234", + "issue:6823", + "issue:6894", + "issue:7057", + "issue:7210", + "issue:7441", + "issue:7690", + "issue:7985", + "issue:861", + "issue:8873", + "issue:9089", + "issue:9164", + "issue:9576", + "issue:9804" + ], + "soft_pairs": [ + "issue:1925|issue:2036", + "issue:202|issue:4001", + "issue:2068|issue:4488", + "issue:3595|issue:4186", + "issue:4265|issue:6823", + "issue:4453|issue:861", + "issue:5783|issue:6234", + "issue:7057|issue:7441", + "issue:1544|issue:2234", + "issue:10026|issue:12082", + "issue:11651|issue:13162", + "issue:12299|issue:12529", + "issue:5545|issue:5577", + "issue:4840|issue:7985", + "issue:3886|issue:4801", + "issue:10804|issue:10952", + "issue:5545|issue:7210", + "issue:11687|issue:11700", + "issue:2462|issue:4080", + "issue:5344|issue:9089", + "issue:6894|issue:9164", + "issue:10287|issue:11024", + "issue:7690|issue:9804", + "issue:8873|issue:9576" + ], + "prepared_review_unit_hash": "ce107ad420b6e6857d0967ab40dd6ae86d63c3ca535c01bff77bbdf66914afe2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33274, + "estimated_input_tokens": 8319, + "estimated_eval_tokens": 16894 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, training, loading, ControlNet, LoRA, scheduler, and compile/memory issues across different model families. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "No strong canonical issue exists because the cluster is not cohesive. If forced to pick one, #10287 is the broadest, but it is too vague to represent the others as a true duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "#10287 is the most generic/broad item in the set, but it is still a weak representative because the rest of the cluster spans many unrelated failures.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1925", + "right": "issue:2036", + "accept": false, + "reason": "Both mention model loading problems, but one is SD2 inpainting half-precision behavior and the other is a stable-diffusion-v1-4 OSError; different failures and code paths." + }, + { + "left": "issue:202", + "right": "issue:4001", + "accept": false, + "reason": "A test request for unet_blocks is unrelated to a README/demo documentation update." + }, + { + "left": "issue:2068", + "right": "issue:4488", + "accept": false, + "reason": "Different bugs: dtype conversion in from_pretrained vs SDXL checkpoint loading without pipeline_class." + }, + { + "left": "issue:3595", + "right": "issue:4186", + "accept": false, + "reason": "convert-from-ckpt failure is not the same as SDXL inpaint/refiner behavior." + }, + { + "left": "issue:4265", + "right": "issue:6823", + "accept": false, + "reason": "One is a specific import error for StableDiffusionXLControlNetPipeline; the other is a general 'cannot use controlnet' report." + }, + { + "left": "issue:4453", + "right": "issue:861", + "accept": false, + "reason": "LoRA conversion for SDXL/A1111 is different from generic ckpt-to-diffusers conversion." + }, + { + "left": "issue:5783", + "right": "issue:6234", + "accept": false, + "reason": "EMA training behavior and a generic example issue are not the same bug." + }, + { + "left": "issue:7057", + "right": "issue:7441", + "accept": false, + "reason": "Model checkpoint loading failure vs pytest failing on Python 3.12 are unrelated." + }, + { + "left": "issue:1544", + "right": "issue:2234", + "accept": false, + "reason": "Missing get_velocity on DDPMScheduler is a scheduler API issue; xformers finetuning is a separate performance/training problem." + }, + { + "left": "issue:10026", + "right": "issue:12082", + "accept": false, + "reason": "Both are GPU-memory-related, but one is Flux ControlNet + DeepSpeed training and the other is Wan VAE memory after compile; different stacks." + }, + { + "left": "issue:11651", + "right": "issue:13162", + "accept": false, + "reason": "Both involve Flux LoRA support, but one is loading flux-fill-lora with FluxControl while the other is a request for Flux.2-klein-4b support; not the same concrete bug." + }, + { + "left": "issue:12299", + "right": "issue:12529", + "accept": false, + "reason": "Different models and errors: SD3 tensor mismatch with negative prompt embeddings vs Wan2.2 tiled VAE size mismatch." + }, + { + "left": "issue:5545", + "right": "issue:5577", + "accept": false, + "reason": "StableDiffusionInpaintPipeline issue and ControlNetModel.from_single_file KeyError are distinct loading paths." + }, + { + "left": "issue:4840", + "right": "issue:7985", + "accept": false, + "reason": "FlaxAutoencoderKL checkpoint loading and IPAdapter torch.compile incompatibility are unrelated." + }, + { + "left": "issue:3886", + "right": "issue:4801", + "accept": false, + "reason": "A distributed watchdog timeout is not the same as a mixed-precision example bug." + }, + { + "left": "issue:10804", + "right": "issue:10952", + "accept": false, + "reason": "Both are LoRA-loading related, but they fail in different pipelines with different adapter-name behavior; not clearly the same bug." + }, + { + "left": "issue:5545", + "right": "issue:7210", + "accept": false, + "reason": "Inpaint pipeline trouble and missing named_parameters on StableDiffusionXLPipeline are separate issues." + }, + { + "left": "issue:11687", + "right": "issue:11700", + "accept": false, + "reason": "One is a docs request for adding Pruna; the other is implementation work for loading through from_pretrained/pipeline." + }, + { + "left": "issue:2462", + "right": "issue:4080", + "accept": false, + "reason": "IterableDataset training support and adding an SDXL inpainting pipeline are unrelated changes." + }, + { + "left": "issue:5344", + "right": "issue:9089", + "accept": false, + "reason": "Missing omegaconf dependency and missing FluxPipeline symbol are different problems." + }, + { + "left": "issue:6894", + "right": "issue:9164", + "accept": false, + "reason": "Both are training-example LoRA complaints, but they target different models and symptoms, so they are not the same underlying bug." + }, + { + "left": "issue:10287", + "right": "issue:11024", + "accept": false, + "reason": "A generic docs issue is unrelated to the SiglipImageProcessor .to() method bug." + }, + { + "left": "issue:7690", + "right": "issue:9804", + "accept": false, + "reason": "Tokenizer loading failure for SDXL base and local SDXL ControlNet loading failure are different code paths." + }, + { + "left": "issue:8873", + "right": "issue:9576", + "accept": false, + "reason": "xformers runtime slowdown and use_safetensors not propagating to submodules 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": 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-50-3013", + "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: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:7592", + "issue:7782", + "issue:7793", + "issue:8469", + "issue:8493", + "issue:8667", + "issue:8828", + "issue:8874", + "issue:8950", + "issue:9410", + "issue:9611", + "issue:9767", + "issue:9895" + ], + "soft_pairs": [ + "issue:9611|issue:9895", + "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" + ], + "prepared_review_unit_hash": "06af1b7014c88312b5554e7984df0172577f1794b48808e9362914996898dd3c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33945, + "estimated_input_tokens": 8487, + "estimated_eval_tokens": 17230 + }, + "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 bugs and feature requests across training, loading, inference, and notebooks. None of the soft pairs look like true duplicates; they mostly share only a subsystem name or a generic error pattern.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out because the items are not one underlying bug; they span distinct models, pipelines, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10722 is the most concrete standalone bug report in the set: it has a specific runtime error, clear training context, and enough detail to be actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9611", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux-related, but one is an image batching error and the other is a device-placement regression after a commit; different code paths." + }, + { + "left": "issue:2161", + "right": "issue:5575", + "accept": false, + "reason": "Both mention LoRA training, but one is about inpainting-model support and the other is about hidden-size configuration for a layer." + }, + { + "left": "issue:8828", + "right": "issue:8950", + "accept": false, + "reason": "Both involve SD3 training, but one is a generic 16GB training error and the other is a LoRA training bug; not the same failure." + }, + { + "left": "issue:10722", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the shapes and training scenarios differ, so they do not clearly point to one underlying bug." + }, + { + "left": "issue:1534", + "right": "issue:381", + "accept": false, + "reason": "One is a DreamBooth notebook error and the other is a custom inference pipeline notebook issue; unrelated notebook paths." + }, + { + "left": "issue:2774", + "right": "issue:579", + "accept": false, + "reason": "ControlNet safetensors conversion and missing config.json in textual inversion are different loading problems." + }, + { + "left": "issue:5043", + "right": "issue:5925", + "accept": false, + "reason": "These are separate feature requests: adding LoRA finetuning for Wuerstchen vs adding ZipLora support." + }, + { + "left": "issue:5670", + "right": "issue:8667", + "accept": false, + "reason": "Both mention non-square image handling, but they target different pipelines/models and likely different shape assumptions." + }, + { + "left": "issue:11046", + "right": "issue:8469", + "accept": false, + "reason": "One is a complex Flux pipeline composition request/error, the other is corrupted faces from a specific IP-Adapter model; not the same bug." + }, + { + "left": "issue:3948", + "right": "issue:4398", + "accept": false, + "reason": "Both concern bad generated images, but pale images and all-black images are distinct symptoms with different likely causes." + }, + { + "left": "issue:2577", + "right": "issue:2674", + "accept": false, + "reason": "DDIMInverseScheduler usage and a LoRA dependency/requirements issue are unrelated." + }, + { + "left": "issue:6130", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading failures, but one is generic LoRA loading and the other is ControlNetXS Depth SDXL loading; different artifacts and code paths." + }, + { + "left": "issue:1988", + "right": "issue:3871", + "accept": false, + "reason": "One is an fp16/bf16 dtype mismatch during image generation in a trainer example; the other is checkpoint-resume trouble in text-to-image training." + }, + { + "left": "issue:5025", + "right": "issue:9410", + "accept": false, + "reason": "An import error for randn_tensor and an inability to import a specific SD3 ControlNet inpainting pipeline are different import failures." + }, + { + "left": "issue:2052", + "right": "issue:4566", + "accept": false, + "reason": "Both mention resuming from checkpoint, but they affect different training scripts and model families." + }, + { + "left": "issue:4086", + "right": "issue:7592", + "accept": false, + "reason": "ControlNet training on SDXL and DoRA state_dict loading are separate problems involving different models and failure points." + }, + { + "left": "issue:7782", + "right": "issue:8874", + "accept": false, + "reason": "Both involve loading from files/checkpoints, but one is a bad safetensors conversion and the other is a CKPT unpickling weights-only failure." + }, + { + "left": "issue:7793", + "right": "issue:9767", + "accept": false, + "reason": "One is unloading LoRA weights in DeepFloyd, the other is a cuDNN frontend error during Flux LoRA inference; not the same bug." + }, + { + "left": "issue:10863", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict loading errors, but one is a local safetensors file load failure and the other is SD3Transformer2DModel key mismatch." + }, + { + "left": "issue:1061", + "right": "issue:1475", + "accept": false, + "reason": "These are different training/tutorial issues: a docs update for textual inversion vs training with two class types in DreamBooth/textual inversion." + }, + { + "left": "issue:1867", + "right": "issue:5465", + "accept": false, + "reason": "Both involve image-to-image strength behavior, but img2img scheduler behavior and DiffEdit inpaint_strength support are distinct issues." + }, + { + "left": "issue:1949", + "right": "issue:2163", + "accept": false, + "reason": "Both are training example errors, but one is a custom-model tutorial problem and the other is a UNet dtype mismatch in train_text_to_image." + }, + { + "left": "issue:228", + "right": "issue:2880", + "accept": false, + "reason": "A broken release link and a Colab notebook that does not run are unrelated." + }, + { + "left": "issue:3064", + "right": "issue:5606", + "accept": false, + "reason": "Both mention LoRA and safetensors, but one is loading a .safetensors LoRA and the other is handling missing alpha metadata." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "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:3412", + "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:7267", + "issue:7420", + "issue:7556", + "issue:7636", + "issue:7799", + "issue:8237", + "issue:8450", + "issue:8482", + "issue:9045", + "issue:9115", + "issue:9227", + "issue:9309", + "issue:9341", + "issue:9378", + "issue:9402", + "issue:9515", + "issue:9670" + ], + "soft_pairs": [ + "issue:3412|issue:7556", + "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" + ], + "prepared_review_unit_hash": "9c074aa2cdb8b52b973fb9cfcf8443d375d7f64e3af92d1901a76e481311fb1a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33465, + "estimated_input_tokens": 8367, + "estimated_eval_tokens": 16990 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly one-off runtime, loading, or documentation issues across different pipelines and models. None of the soft pairs look like true duplicates of the same concrete bug/change; they mostly share a subsystem or symptom type rather than the same code-path failure.", + "confidence": 0.38, + "canonical_issue_reason": "No clear duplicate cluster emerges, so the best representative issue is issue 12348: it\u2019s a concrete, reproducible inference tensor-mismatch report for WanImageToVideoPipeline and is one of the most specific runtime-bug entries in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12348 is the strongest standalone issue in this set because it describes an actionable pipeline failure with a clear symptom and scope. It is more representative than the vague feature requests or generic error reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3412", + "right": "issue:7556", + "accept": false, + "reason": "Both are docs-related, but one is a stable-diffusion docs update and the other is Animatediff scheduler docs; different scope and no shared bug/change." + }, + { + "left": "issue:5905", + "right": "issue:8482", + "accept": false, + "reason": "Different model requests: diffusion-GAN versus Stable Diffusion 3 support. Same broad repo area, not the same underlying change." + }, + { + "left": "issue:9378", + "right": "issue:9402", + "accept": false, + "reason": "Both involve Flux ControlNet, but one requests Xlabs ControlNet support and the other adds img2img/inpaint pipelines; separate features." + }, + { + "left": "issue:7799", + "right": "issue:9115", + "accept": false, + "reason": "Different pipelines and failure modes; both are image-generation errors but not the same concrete bug." + }, + { + "left": "issue:4031", + "right": "issue:7267", + "accept": false, + "reason": "Unrelated loading problems: safety checker local-file loading versus train_controlnet local data loading." + }, + { + "left": "issue:3910", + "right": "issue:4697", + "accept": false, + "reason": "Both mention LoRA loading, but the reports are too generic and likely different failure causes/regressions; not enough to treat as the same bug." + }, + { + "left": "issue:5595", + "right": "issue:6435", + "accept": false, + "reason": "One is a validation error for non-divisible dimensions; the other is a ControlNet default width/height initialization problem." + }, + { + "left": "issue:9227", + "right": "issue:9309", + "accept": false, + "reason": "Both are Flux-related, but one is a DreamBooth LoRA training issue and the other is a FluxControlNetPipeline runtime bug." + }, + { + "left": "issue:2669", + "right": "issue:5596", + "accept": false, + "reason": "Different attribute errors in different preprocessing/build paths; no clear shared code-path." + }, + { + "left": "issue:2991", + "right": "issue:4037", + "accept": false, + "reason": "Both are ControlNet training issues, but mixed-precision example failure and FSDP validation errors are distinct problems." + }, + { + "left": "issue:9341", + "right": "issue:9670", + "accept": false, + "reason": "Both concern LoRA loading, but one is about Flux LoRA key handling and the other is a missing PEFT backend requirement." + }, + { + "left": "issue:4134", + "right": "issue:7636", + "accept": false, + "reason": "A device-specific tensor size mismatch on MPS versus a how-to/support request for the SDXL tile ControlNet model." + }, + { + "left": "issue:10520", + "right": "issue:9045", + "accept": false, + "reason": "Both are device-placement issues, but they hit different models/pipelines and different code paths." + }, + { + "left": "issue:1988", + "right": "issue:6162", + "accept": false, + "reason": "Both are generation-time shape/type mismatches, but one is fp16/bf16 input-bias type mismatch and the other is an IP-Adapter shape mismatch." + }, + { + "left": "issue:11185", + "right": "issue:11824", + "accept": false, + "reason": "Different models and different error contexts; both are generic generation failures only at the title level." + }, + { + "left": "issue:2596", + "right": "issue:5025", + "accept": false, + "reason": "Both are diffusers.utils import/documentation problems, but they refer to different symbols and different underlying breakages." + }, + { + "left": "issue:3910", + "right": "issue:8237", + "accept": false, + "reason": "Both are LoRA-loading complaints, but one is a generic load failure and the other is a missing SDXL text-projection key." + }, + { + "left": "issue:5458", + "right": "issue:7185", + "accept": false, + "reason": "Local-files-only behavior in LoRA loading is unrelated to a broader PyTorch version support question." + }, + { + "left": "issue:5862", + "right": "issue:9515", + "accept": false, + "reason": "Different Transformer internals: gradient checkpointing support versus missing RMSNorm in a specific attention processor." + }, + { + "left": "issue:6791", + "right": "issue:7114", + "accept": false, + "reason": "Same training script, but one report says it can't run while the other is specifically CUDA OOM; not the same bug." + }, + { + "left": "issue:12348", + "right": "issue:12536", + "accept": false, + "reason": "Both are WanImageToVideoPipeline tensor-size complaints, but one is a resolution-dependent mismatch and the other is a context-parallelism mesh divisibility assertion; related theme, not clearly the same bug." + }, + { + "left": "issue:11046", + "right": "issue:8450", + "accept": false, + "reason": "Both involve Flux/SD-style inference, but one is a multi-feature Flux pipeline request and the other is an SDXL inpainting noise bug." + }, + { + "left": "issue:5227", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is specifically load_lora_weight incompatibility and the other is a general inability to use torch.compile." + }, + { + "left": "issue:2603", + "right": "issue:2673", + "accept": false, + "reason": "Different pipeline issues: non-square image support versus an upscale pipeline config/image input 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": 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-50-3013", + "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:3689", + "issue:3724", + "issue:4080", + "issue:4354", + "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:7229", + "issue:7441", + "issue:7592", + "issue:7974", + "issue:8541", + "issue:8615", + "issue:9237", + "issue:9454", + "issue:9729" + ], + "soft_pairs": [ + "issue:7229|issue:9237", + "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" + ], + "prepared_review_unit_hash": "5c075ccbe10b6b4c3a5a3c0523b8f20a2423b25379637f1192185327d5f75c6a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "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 set is mostly heterogeneous issues with only a couple of likely duplicate subclusters. The clearest matches are the LoRA-loading reports and the LoRA-removal reports; most other soft edges are only broad subsystem similarity and should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:10972 is the strongest issue canonical in this set because it is the most specific LoRA-loading failure and has two near-identical follow-up reports (11209, 11224) pointing to the same problem class.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10972 is the best representative issue overall: concrete bug title, clear failure mode, and it anchors the only strong duplicate-like pairings in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7229", + "right": "issue:9237", + "accept": false, + "reason": "Both mention training issues, but they concern different workflows and failure modes; not the same underlying bug." + }, + { + "left": "issue:10575", + "right": "issue:7214", + "accept": false, + "reason": "Same scheduler family, but one is an IndexError and the other is a karras_sigmas regression; too different to merge." + }, + { + "left": "issue:10972", + "right": "issue:11209", + "accept": true, + "reason": "Both are LoRA loading failures; 11209 looks like a generic report of the same underlying loading bug seen in 10972." + }, + { + "left": "issue:10972", + "right": "issue:11224", + "accept": true, + "reason": "Same LoRA-loading failure class as 10972, with 11224 appearing to be another report of the same bug." + }, + { + "left": "issue:2185", + "right": "issue:3347", + "accept": false, + "reason": "Training config files missing vs NaN image output are unrelated issues." + }, + { + "left": "issue:2645", + "right": "issue:4701", + "accept": false, + "reason": "Both are CUDA-related errors, but they occur in different code paths and are not the same bug." + }, + { + "left": "issue:2841", + "right": "issue:3724", + "accept": false, + "reason": "One is a scheduler feature request and the other is a watermarking feature idea; unrelated." + }, + { + "left": "issue:12319", + "right": "issue:12673", + "accept": false, + "reason": "Both involve group offloading, but the reported problems are different enough that they do not look like the same bug." + }, + { + "left": "issue:4837", + "right": "issue:6713", + "accept": false, + "reason": "Both mention the same conversion script, but the failures differ (SDXL conversion vs HeaderTooLarge)." + }, + { + "left": "issue:6415", + "right": "issue:7974", + "accept": false, + "reason": "Different IP-Adapter requests/bugs; not the same concrete issue." + }, + { + "left": "issue:12329", + "right": "issue:12565", + "accept": false, + "reason": "Same Wan image-to-video area, but one is a model-loading/version mismatch and the other is a running issue; not clearly duplicate." + }, + { + "left": "issue:5226", + "right": "issue:7592", + "accept": false, + "reason": "Both are LoRA/adapter loading problems, but they concern different mechanisms (load_lora_weights vs DoRA state_dict keys)." + }, + { + "left": "issue:5647", + "right": "issue:6610", + "accept": false, + "reason": "Both hit SDXL inpaint pipeline paths, but the symptoms and triggers differ." + }, + { + "left": "issue:11103", + "right": "issue:1647", + "accept": false, + "reason": "A repo-selection question and a color-correction question are unrelated." + }, + { + "left": "issue:1304", + "right": "issue:5337", + "accept": false, + "reason": "Training guidance vs callback semantics; no shared bug/change." + }, + { + "left": "issue:2210", + "right": "issue:3111", + "accept": false, + "reason": "Both are about conditioning/encoder ideas, but they are different feature requests." + }, + { + "left": "issue:2645", + "right": "issue:5593", + "accept": false, + "reason": "ControlNet CUDA failure vs AutoPipeline ControlNet wrapping failure; different issues." + }, + { + "left": "issue:2689", + "right": "issue:5387", + "accept": false, + "reason": "Both are broken-link reports, but they point to different links/doc pages." + }, + { + "left": "issue:3689", + "right": "issue:5170", + "accept": true, + "reason": "These describe the same underlying need to remove/unload LoRA weights after loading them." + }, + { + "left": "issue:4080", + "right": "issue:8615", + "accept": false, + "reason": "Different feature requests in different model families; not duplicates." + }, + { + "left": "issue:4354", + "right": "issue:4667", + "accept": false, + "reason": "Both involve from_single_file, but the pipeline class and failure mode differ." + }, + { + "left": "issue:4647", + "right": "issue:7441", + "accept": false, + "reason": "Model architecture bug vs test/runtime compatibility issue; unrelated." + }, + { + "left": "issue:5226", + "right": "issue:6758", + "accept": false, + "reason": "One is a LoRA loading bug and the other is a missing parameter support issue; not the same bug." + }, + { + "left": "issue:6731", + "right": "issue:9729", + "accept": false, + "reason": "Unhandled pipeline class vs unexpected saved model type in Flux training; unrelated." + }, + { + "left": "issue:8541", + "right": "issue:9454", + "accept": false, + "reason": "Both are model-not-found errors, but they refer to different models and repos." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The accepted soft edges are defensible from the titles alone, especially the identical LoRA-loading reports and the unload/remove LoRA pair. The rejected edges are generally conservative and do not overclaim duplicates. No mergeability issues apply here because this is issue clustering 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": 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-50-3013", + "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:1692", + "issue:1717", + "issue:1976", + "issue:2163", + "issue:2234", + "issue:2244", + "issue:3250", + "issue:3382", + "issue:3468", + "issue:4185", + "issue:4340", + "issue:4398", + "issue:4639", + "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:3382|issue:4639", + "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" + ], + "prepared_review_unit_hash": "53b004aa764076ea5fb0e5a6f3149fed800b5356128772bef7f0a9b890f3fe10", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34451, + "estimated_input_tokens": 8613, + "estimated_eval_tokens": 17482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated issues across training, inference, LoRA, torch.compile, model-loading, and feature requests. None of the soft edges look like true duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good canonical representative because the items do not share one underlying bug or change request. They span many distinct models, code paths, and symptoms.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3382", + "right": "issue:4639", + "accept": false, + "reason": "Different failures: multi-GPU text-to-image OOM vs multiprocessing data-loader error in a different script." + }, + { + "left": "issue:4185", + "right": "issue:6949", + "accept": false, + "reason": "Both are image-quality problems, but one is SDXL ControlNet black images and the other is DPMSolver even-step blank outputs; different code paths and symptoms." + }, + { + "left": "issue:11584", + "right": "issue:7985", + "accept": false, + "reason": "Different torch.compile incompatibilities in different pipelines/models; not the same underlying bug." + }, + { + "left": "issue:1692", + "right": "issue:5919", + "accept": false, + "reason": "Pickling a lambda and missing set_lora_layer on Linear are unrelated errors." + }, + { + "left": "issue:5442", + "right": "issue:6407", + "accept": false, + "reason": "One is a pipeline implementation request, the other is a request for a different model; not duplicates." + }, + { + "left": "issue:6914", + "right": "issue:8626", + "accept": false, + "reason": "One is an offload/runtime AttributeError in IP-Adapter-FaceID, the other is documentation/guidance for multiple IP-Adapter inputs." + }, + { + "left": "issue:10795", + "right": "issue:11864", + "accept": false, + "reason": "GGUF from_single_file torch.compile failure vs AutoencoderDC fullgraph name resolution error; unrelated code paths." + }, + { + "left": "issue:13300", + "right": "issue:7355", + "accept": false, + "reason": "Different models and failures: CPU generation errors on SD3.5/FLUX vs Stable Cascade bfloat16 arbitrary-resolution issue." + }, + { + "left": "issue:12104", + "right": "issue:9112", + "accept": false, + "reason": "Index out of bounds and tensor-size mismatch are different runtime bugs." + }, + { + "left": "issue:13079", + "right": "issue:13107", + "accept": false, + "reason": "CUDA OOM in a loop and LoRA missing-key loading errors are unrelated." + }, + { + "left": "issue:10198", + "right": "issue:10540", + "accept": false, + "reason": "Flux weight mismatch and Flux Dev from_single_file loading failure are different symptoms and likely different root causes." + }, + { + "left": "issue:7793", + "right": "issue:8532", + "accept": false, + "reason": "Both involve LoRA weights, but unloading errors and progressive memory growth are different problems; too broad to merge." + }, + { + "left": "issue:1976", + "right": "issue:2234", + "accept": false, + "reason": "Incorrect tokenizer file lookup and xformers finetuning failure are unrelated." + }, + { + "left": "issue:2163", + "right": "issue:7330", + "accept": false, + "reason": "Training dtype mismatch and FP16 unscale error are different failures in different parts of the training loop." + }, + { + "left": "issue:2244", + "right": "issue:3468", + "accept": false, + "reason": "Dreambooth CPU half-precision runtime error vs missing model_index.json are unrelated." + }, + { + "left": "issue:11978", + "right": "issue:9744", + "accept": false, + "reason": "Both are feature requests, but for different models and different additions." + }, + { + "left": "issue:4702", + "right": "issue:8887", + "accept": false, + "reason": "VQ-VAE example request and SD3 VAE encode bug are not the same change." + }, + { + "left": "issue:9523", + "right": "issue:9857", + "accept": false, + "reason": "Broad controlnet training error-mapping issue vs a specific FLUX controlnet embedding-size mismatch; not a duplicate." + }, + { + "left": "issue:10472", + "right": "issue:9069", + "accept": false, + "reason": "Unexpected lora_bias keyword and np.ndarray type mismatch are unrelated errors." + }, + { + "left": "issue:4340", + "right": "issue:4398", + "accept": false, + "reason": "SDXL LoRA training error with text encoder and black-image dreambooth inference are different bugs." + }, + { + "left": "issue:1717", + "right": "issue:954", + "accept": false, + "reason": "Offline cached-model loading and post-login loading failure are different authentication/cache problems." + }, + { + "left": "issue:11436", + "right": "issue:11824", + "accept": false, + "reason": "Hidream dtype mismatch vs FluxKontext multi-image input error are unrelated model-specific bugs." + }, + { + "left": "issue:6258", + "right": "issue:8922", + "accept": false, + "reason": "Forward-chunking quality degradation and quantized-T5 zero-output are different issues." + }, + { + "left": "issue:3250", + "right": "issue:6335", + "accept": false, + "reason": "StableDiffusionKDiffusionPipeline runtime failure and ControlNet output-size control 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": 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-50-3013", + "nodes": [ + "issue:10804", + "issue:1092", + "issue:10954", + "issue:11464", + "issue:11819", + "issue:12120", + "issue:12195", + "issue:1388", + "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:4366", + "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:7377", + "issue:7644", + "issue:7681", + "issue:817", + "issue:8567", + "issue:8668", + "issue:8708", + "issue:8900", + "issue:9142", + "issue:9270" + ], + "soft_pairs": [ + "issue:1388|issue:4366", + "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" + ], + "prepared_review_unit_hash": "16f6dba662713b03d61034b9a7b8f9ed2c9871c8af168628a8e9677425a92a78", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33472, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No PRs are present. Most soft pairs are clearly unrelated by title; the only mild theme overlap is among FLUX/LoRA reports, but they describe different pipelines, model variants, or training vs loading problems, so they should stay separate.", + "confidence": 0.76, + "canonical_issue_reason": "issue:10954 is the most general and current report of the FLUX1.dev LoRA loading failure, so it is the best umbrella duplicate target among the FLUX-related issues.", + "canonical_pr_reason": null, + "best_issue_reason": "Open, generic, and directly about the core symptom (FLUX1.dev LoRA fails to load), which makes it the best issue to anchor related follow-ups.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1388", + "right": "issue:4366", + "accept": false, + "reason": "Different topics: SD 2.0 conversion script vs SD-XL full U-Net fine-tuning." + }, + { + "left": "issue:2822", + "right": "issue:6093", + "accept": false, + "reason": "Training convergence complaint vs push_to_hub behavior; not the same bug." + }, + { + "left": "issue:5488", + "right": "issue:8668", + "accept": false, + "reason": "Demo image-generation failure is unrelated to SD3 img2img input-size alignment." + }, + { + "left": "issue:5226", + "right": "issue:5862", + "accept": false, + "reason": "LoRA loading in SDXL adapter pipeline vs gradient checkpointing support in Transformer2DModel." + }, + { + "left": "issue:10804", + "right": "issue:9270", + "accept": false, + "reason": "Both mention FLUX LoRA, but one is a load failure and the other is incomplete training-support for SimpleTuner." + }, + { + "left": "issue:1092", + "right": "issue:4520", + "accept": false, + "reason": "Euler/attention slicing issue is not the same as LoRA scale with attention slicing." + }, + { + "left": "issue:3112", + "right": "issue:5474", + "accept": false, + "reason": "Multi-ControlNet inpainting vs a new reference-only pipeline proposal; different changes." + }, + { + "left": "issue:3824", + "right": "issue:6203", + "accept": false, + "reason": "Legacy-vs-new inpaint pipeline question is unrelated to SDXL ControlNet image-size conditioning." + }, + { + "left": "issue:3937", + "right": "issue:4194", + "accept": false, + "reason": "ZeroscopeXL pipeline behavior vs from_single_file VAE loading; different failures." + }, + { + "left": "issue:4332", + "right": "issue:7644", + "accept": false, + "reason": "xformers on Kandinsky2.2 vs Stable Cascade non-power-of-two image handling." + }, + { + "left": "issue:4727", + "right": "issue:5545", + "accept": false, + "reason": "local_files_only auto-pipeline breakage is unrelated to an inpaint pipeline problem." + }, + { + "left": "issue:5647", + "right": "issue:7041", + "accept": false, + "reason": "Different failure modes and conditions in different pipelines; not the same underlying bug." + }, + { + "left": "issue:4340", + "right": "issue:5897", + "accept": false, + "reason": "Both are LoRA training errors, but they involve different scripts and different concrete failures." + }, + { + "left": "issue:6839", + "right": "issue:8900", + "accept": false, + "reason": "Both use from_single_file, but one is Stable Video Diffusion and the other is SDXL refiner; distinct loading paths." + }, + { + "left": "issue:1717", + "right": "issue:3623", + "accept": false, + "reason": "Offline cached-model loading is unrelated to generic large-model loading issues." + }, + { + "left": "issue:3468", + "right": "issue:4117", + "accept": false, + "reason": "Missing model_index.json is different from SDXL Dreambooth not working." + }, + { + "left": "issue:2324", + "right": "issue:817", + "accept": false, + "reason": "Instance-data loading bug vs mixed-precision issue in Dreambooth; unrelated." + }, + { + "left": "issue:12195", + "right": "issue:7681", + "accept": false, + "reason": "PyTorch custom_op incompatibility is unrelated to a lib/X509 import error." + }, + { + "left": "issue:2947", + "right": "issue:9142", + "accept": false, + "reason": "Missing load_attn_procs on UNet and multi-ControlNet __module__ error are different code paths." + }, + { + "left": "issue:8567", + "right": "issue:8708", + "accept": false, + "reason": "Training objective question for SD3 is not the same as a missing shift_factor in examples." + }, + { + "left": "issue:10954", + "right": "issue:11464", + "accept": false, + "reason": "Both are FLUX LoRA loading reports, but they target different model variants/pipelines and don't clearly share one concrete defect." + }, + { + "left": "issue:4183", + "right": "issue:7377", + "accept": false, + "reason": "ControlNet guidance-scale bug is unrelated to Stable Cascade num_images_per_prompt handling." + }, + { + "left": "issue:11819", + "right": "issue:12120", + "accept": false, + "reason": "Different FLUX LoRA-training questions: image-editing Kontext vs distilled flux-schnell." + }, + { + "left": "issue:222", + "right": "issue:4117", + "accept": false, + "reason": "Generic training runtime error is not the same as SDXL Dreambooth 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": 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-50-3013", + "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:3802", + "issue:3954", + "issue:4306", + "issue:4480", + "issue:4566", + "issue:5226", + "issue:5577", + "issue:5862", + "issue:6107", + "issue:6110", + "issue:6324", + "issue:6382", + "issue:6518", + "issue:6548", + "issue:7223", + "issue:730", + "issue:7589", + "issue:760", + "issue:7644", + "issue:8228", + "issue:8305", + "issue:8309", + "issue:8588", + "issue:8950", + "issue:9142", + "issue:9156", + "issue:9673" + ], + "soft_pairs": [ + "issue:7223|issue:8309", + "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" + ], + "prepared_review_unit_hash": "9623ca72643682c7c86154ce99cf572f0bb769191964d1c7a06ec6da4047aff3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34515, + "estimated_input_tokens": 8629, + "estimated_eval_tokens": 17514 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: it mixes unrelated issues about img2img behavior, DreamBooth/LoRA training, model loading, scheduler math, MPS/flash-attn compatibility, and feature requests. None of the soft edges looks like the same underlying bug or change, so all are false positives.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the items span many unrelated bugs/features and do not form a single duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative for deduping because there is no coherent shared problem across the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7223", + "right": "issue:8309", + "accept": false, + "reason": "One is a video-generation model integration request; the other is a diffusion distillation feature request." + }, + { + "left": "issue:5577", + "right": "issue:8228", + "accept": false, + "reason": "Both involve `from_single_file`, but one is a ControlNet key error and the other is a CLIPTextModel loading failure." + }, + { + "left": "issue:5226", + "right": "issue:6110", + "accept": false, + "reason": "Both mention `load_lora_weights`, but one is an SDXL adapter compatibility bug and the other is an offline-loading problem." + }, + { + "left": "issue:10210", + "right": "issue:6548", + "accept": false, + "reason": "Both are img2img-related, but one reports near-identity output in Flux and the other is an RGBA latent-handling bug in SD/SDXL." + }, + { + "left": "issue:3175", + "right": "issue:3774", + "accept": false, + "reason": "Different training problems: multi-face DreamBooth behavior vs. Zero3 memory savings not appearing." + }, + { + "left": "issue:10722", + "right": "issue:7644", + "accept": false, + "reason": "A tensor-shape mismatch during DreamBooth training is not the same as Stable Cascade failing on non-power-of-two images." + }, + { + "left": "issue:4566", + "right": "issue:8950", + "accept": false, + "reason": "Both are LoRA training issues, but one is checkpoint resume and the other is an SD3 training bug." + }, + { + "left": "issue:6107", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but one is an environment-specific app load failure and the other is a training-to-inference key mismatch." + }, + { + "left": "issue:10518", + "right": "issue:8588", + "accept": false, + "reason": "One reports a problem in a training script; the other says a conversion script is missing entirely." + }, + { + "left": "issue:11489", + "right": "issue:9156", + "accept": false, + "reason": "A generic Flux LoRA training error is not the same as a Flux LoRA CUDA OOM." + }, + { + "left": "issue:2244", + "right": "issue:2844", + "accept": false, + "reason": "Different pipelines and different failures: DreamBooth Half-precision CPU norm vs. explicit image-embedding handling in UnCLIP." + }, + { + "left": "issue:4306", + "right": "issue:8305", + "accept": false, + "reason": "A StableDiffusionReferencePipeline index error is unrelated to a scheduler `eta` range issue." + }, + { + "left": "issue:5862", + "right": "issue:7589", + "accept": false, + "reason": "Gradient-checkpointing support in Transformer2DModel is not the same as GLIGEN not working." + }, + { + "left": "issue:3802", + "right": "issue:3954", + "accept": false, + "reason": "One is about checkpoint limiting; the other is about incorrect LR scheduler step counts in multi-GPU examples." + }, + { + "left": "issue:11182", + "right": "issue:9673", + "accept": false, + "reason": "An unnecessary BF16 download is unrelated to high CPU usage when loading multiple LoRAs." + }, + { + "left": "issue:10967", + "right": "issue:11256", + "accept": false, + "reason": "These are separate feature requests for different models/methods, not the same integration." + }, + { + "left": "issue:12022", + "right": "issue:12535", + "accept": false, + "reason": "Flash-attn interface incompatibility is unrelated to Wan2.2 Lightning LoRA loading." + }, + { + "left": "issue:2392", + "right": "issue:6518", + "accept": false, + "reason": "An img2img prompt_embeds validation error is unrelated to a `NoneType // int` training crash." + }, + { + "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 incorrect output in an older version." + }, + { + "left": "issue:1807", + "right": "issue:2296", + "accept": false, + "reason": "Inference slowdown over time is not the same issue as xformers attention failing on T4." + }, + { + "left": "issue:1985", + "right": "issue:2462", + "accept": false, + "reason": "Loading embeddings and IterableDataset finetuning are different feature requests." + }, + { + "left": "issue:2806", + "right": "issue:730", + "accept": false, + "reason": "A pipeline-printing customization bug is unrelated to DreamBooth learning differently locally vs Colab." + }, + { + "left": "issue:2904", + "right": "issue:9142", + "accept": false, + "reason": "AudioLDM scheduler initialization failure and Hunyuan Dit multi-ControlNet loading are different code paths." + }, + { + "left": "issue:3040", + "right": "issue:6324", + "accept": false, + "reason": "Both mention `__module__`, but the failures come from different bad input types and different 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": 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-50-3013", + "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:3799", + "issue:4206", + "issue:4229", + "issue:4488", + "issue:4639", + "issue:4667", + "issue:4724", + "issue:4726", + "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:9187", + "issue:9267", + "issue:9421" + ], + "soft_pairs": [ + "issue:3799|issue:4726", + "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", + 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None of the proposed soft pairs look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue cleanly represents the cluster: the items cover many different code paths and features, so any one issue would be a misleading canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "There is no strong global best issue here; the cluster is not cohesive enough for one issue to serve as a reliable representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3799", + "right": "issue:4726", + "accept": false, + "reason": "Different problems: scheduler type inference vs a callback typing issue in a pipeline call signature." + }, + { + "left": "issue:4488", + "right": "issue:4667", + "accept": false, + "reason": "Both mention from_single_file, but one is SDXL checkpoint loading via ckpt conversion and the other is a generic v0.20.0 failure for StableDiffusionPipeline; not the same bug." + }, + { + "left": "issue:5840", + "right": "issue:6894", + "accept": false, + "reason": "Both concern SDXL LoRA training, but one is resume/freezing behavior and the other is A1111 compatibility after export; different failure modes." + }, + { + "left": "issue:7303", + "right": "issue:7392", + "accept": false, + "reason": "Scheduler zero-SNR support is unrelated to SDXL multi-aspect-ratio training." + }, + { + "left": "issue:2364", + "right": "issue:499", + "accept": false, + "reason": "Generic training-script failure versus unconditional training script not working; too broad and not clearly the same concrete bug." + }, + { + "left": "issue:4868", + "right": "issue:9267", + "accept": false, + "reason": "Different attribute errors in different components: a super().__getattr__ issue versus missing rope in FLUX transformer code." + }, + { + "left": "issue:6801", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler loading error versus slow first inference; different symptoms and code paths." + }, + { + "left": "issue:6110", + "right": "issue:9187", + "accept": false, + "reason": "Offline LoRA loading and SDXL IP-Adapter image_encoder_folder behavior are unrelated." + }, + { + "left": "issue:2326", + "right": "issue:2548", + "accept": false, + "reason": "Both involve LoRA, but one is converting LoRA weights to safetensors/ckpt and the other is saving finetuning LoRA; not the same bug." + }, + { + "left": "issue:4229", + "right": "issue:4639", + "accept": false, + "reason": "Both are multi-GPU training errors, but they affect different scripts and failure modes." + }, + { + "left": "issue:10180", + "right": "issue:12078", + "accept": false, + "reason": "Different feature areas: loading multiple LoRAs with Flux Control LoRA versus a Flux Control finetuning validation-input example problem." + }, + { + "left": "issue:4206", + "right": "issue:7466", + "accept": false, + "reason": "ControlNet training with SDXL versus torch.compile failing for multi-ControlNet in SDXL inpaint; related subsystem, but not the same bug." + }, + { + "left": "issue:7053", + "right": "issue:7185", + "accept": false, + "reason": "Unet3D class conditioning bug is unrelated to PyTorch 2.2 support concerns." + }, + { + "left": "issue:12012", + "right": "issue:12499", + "accept": false, + "reason": "apply_first_block_cache context-state error is unrelated to Wan 2.2 I2V condition shape mismatch." + }, + { + "left": "issue:10040", + "right": "issue:9421", + "accept": false, + "reason": "Grey images in SD3 and inability to access an inpainting model are different issues." + }, + { + "left": "issue:2786", + "right": "issue:4935", + "accept": false, + "reason": "A numpy/transformers pipeline compatibility bug is unrelated to a question about AttnProcsLayers usage in an SDXL LoRA training script." + }, + { + "left": "issue:11178", + "right": "issue:12029", + "accept": false, + "reason": "MistoLine ControlNet loading and X-Omni-En model loading are different model-specific loading issues." + }, + { + "left": "issue:4892", + "right": "issue:5295", + "accept": false, + "reason": "TokenFlow video editing pipeline and LAVIE video generation are different pipeline proposals, not duplicates." + }, + { + "left": "issue:1061", + "right": "issue:593", + "accept": false, + "reason": "Textual inversion doc update versus repeated images in high-res stable diffusion; unrelated." + }, + { + "left": "issue:10772", + "right": "issue:11547", + "accept": false, + "reason": "Both request ControlNet support, but for different model families (Sana vs Flux fill dev); not the same concrete change." + }, + { + "left": "issue:1264", + "right": "issue:3645", + "accept": false, + "reason": "Hard-coded scheduler issue in dreambooth training is unrelated to a ControlNet inpaint training/help question." + }, + { + "left": "issue:3660", + "right": "issue:4724", + "accept": false, + "reason": "torch.compile with LoRA/xformers is unrelated to SDXL img2img behavior with a base checkpoint." + }, + { + "left": "issue:5150", + "right": "issue:5862", + "accept": false, + "reason": "from_single_file missing for UpscalePipeline is unrelated to Transformer2DModel gradient checkpointing support." + }, + { + "left": "issue:6196", + "right": "issue:6602", + "accept": false, + "reason": "Two different loading/saving failures: ControlNetXS Depth SDXL loading versus loading after fuse_lora/save_pretrained." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "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:8532", + "issue:8543", + "issue:8555", + "issue:8726", + "issue:905", + "issue:9134", + "issue:9279", + "issue:9914", + "issue:9953", + "issue:9997" + ], + "soft_pairs": [ + "issue:8543|issue:8726", + "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" + ], + "prepared_review_unit_hash": "139feee643d0f44638d1e32d1348622dc3311a7c6fe5e52c6768cacf7d6599ff", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33237, + "estimated_input_tokens": 8310, + "estimated_eval_tokens": 16876 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose topical bundle of diffusion, LoRA, pipeline, and training issues rather than true duplicates. 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not the same bug." + }, + { + "left": "issue:12535", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they target different model families and different failure modes, so they should not be merged." + }, + { + "left": "issue:1197", + "right": "issue:905", + "accept": false, + "reason": "These are separate community pipeline requests with different use cases; no shared underlying bug or implementation change." + }, + { + "left": "issue:234", + "right": "issue:2549", + "accept": false, + "reason": "Half-precision instability and an SD 2.0 UNet failure are not the same issue, even if both relate to Stable Diffusion models." + }, + { + "left": "issue:4325", + "right": "issue:5103", + "accept": false, + "reason": "Both produce black images, but the reported triggers differ (SDXL warning/cast path vs zero-SNR DDIM), so the underlying cause is not clearly the same." + }, + { + "left": "issue:6722", + "right": "issue:8555", + "accept": false, + "reason": "A feature request to use SigLIP as text encoder is not the same as SD3 text-encoder training availability/fp8 support." + }, + { + "left": "issue:9134", + "right": "issue:9997", + "accept": false, + "reason": "Both mention Flux LoRAs, but one is a specific incompatibility with SimpleTuner-trained LoRAs and the other is a broader support request for new LoRAs." + }, + { + "left": "issue:1100", + "right": "issue:1544", + "accept": false, + "reason": "Different attribute errors in different components: CLIPTextTransformer device access versus DDPMScheduler get_velocity." + }, + { + "left": "issue:12195", + "right": "issue:13142", + "accept": false, + "reason": "Both are version-compatibility regressions, but they involve different packages and distinct failing APIs." + }, + { + "left": "issue:2465", + "right": "issue:2599", + "accept": false, + "reason": "A request for a reproducible training recipe is not the same as a report that multi-subject DreamBooth training yields worse quality." + }, + { + "left": "issue:12575", + "right": "issue:9953", + "accept": false, + "reason": "These concern different failures: attention-backend checks in Chroma versus moving a quantized component to CUDA." + }, + { + "left": "issue:11700", + "right": "issue:9279", + "accept": false, + "reason": "One is a Pruna integration request for from_pretrained/pipeline loading, the other is dynamic LoRA loading with torch.compile; separate feature changes." + }, + { + "left": "issue:1350", + "right": "issue:5442", + "accept": false, + "reason": "Completely different domains: object detection (DiffusionDet) versus higher-resolution image generation (ScaleCrafter)." + }, + { + "left": "issue:1616", + "right": "issue:5379", + "accept": false, + "reason": "Different community pipelines with no shared bug or implementation target." + }, + { + "left": "issue:2618", + "right": "issue:3391", + "accept": false, + "reason": "A ControlNet image-input type issue and a DeepFloyd overexposure bug are unrelated pipeline problems." + }, + { + "left": "issue:3124", + "right": "issue:6911", + "accept": false, + "reason": "Stable Diffusion model conversion failure and a 3D UNet class-label bug are different code paths entirely." + }, + { + "left": "issue:4080", + "right": "issue:5905", + "accept": false, + "reason": "An SDXL inpainting pipeline request and a diffusion-GAN model request are separate feature additions, 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": 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-50-3013", + "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: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:7592", + "issue:7619", + "issue:8233", + "issue:8493", + "issue:8518", + "issue:8732", + "issue:8832", + "issue:8909", + "issue:8958", + "issue:9084", + "issue:9422", + "issue:9534", + "issue:9927", + "issue:9979" + ], + "soft_pairs": [ + "issue:7592|issue:8493", + "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" + ], + "prepared_review_unit_hash": "ab8a689ba648803f9f46af465d02c934ebbd0f4633a8776e6a4802bbf9bb1b01", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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 is not a true duplicate cluster: the issues span many unrelated bugs/features across model loading, training scripts, ControlNet/Flux/Wan/SD3, compilation, and file/path errors. The soft-link suggestions are mostly driven by superficial title similarity, not the same underlying problem.", + "confidence": 0.94, + "canonical_issue_reason": "No single issue is a safe canonical target; the items describe different code paths and failure modes, so collapsing them would be incorrect.", + "canonical_pr_reason": null, + "best_issue_reason": "None is a strong global representative because the set is heterogeneous rather than a near-duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7592", + "right": "issue:8493", + "accept": false, + "reason": "Both involve state_dict loading, but they target different models and failure modes (DoRA key coverage vs SD3Transformer2DModel mismatch)." + }, + { + "left": "issue:11584", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but one is a group offloading incompatibility and the other is an SD3 dynamo unsupported-call error." + }, + { + "left": "issue:6549", + "right": "issue:6561", + "accept": false, + "reason": "Different LoRA/IP-Adapter loading problems: one is a lora_weight logging issue, the other is a missing config.json file path error." + }, + { + "left": "issue:8732", + "right": "issue:8909", + "accept": false, + "reason": "Both are training/save related, but one is checkpoint saving in SD1.5 advanced training and the other is text_encoder_ti saving in a Dreambooth LoRA script." + }, + { + "left": "issue:4835", + "right": "issue:5606", + "accept": false, + "reason": "ControlNet img2img with MultiControlNetModel is unrelated to LoRA loading with no alpha value." + }, + { + "left": "issue:6351", + "right": "issue:8832", + "accept": false, + "reason": "One is a DDP adapter attribute error in a training script; 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the other is a request for Stable Diffusion 2.1 ControlNet support." + }, + { + "left": "issue:4520", + "right": "issue:6974", + "accept": false, + "reason": "Both are adapter-related, but one is a LoRA scale + attention slicing bug and the other is textual inversion unload missing tokenizer/text encoder cleanup." + }, + { + "left": "issue:5233", + "right": "issue:9084", + "accept": false, + "reason": "Different scheduler/callback semantics: wrong callback step value vs SD3 inpaint EulerA scale_model_input ordering." + }, + { + "left": "issue:5578", + "right": "issue:5862", + "accept": false, + "reason": "A missing model_index.json load error is unrelated to Transformer2DModel gradient checkpointing support." + }, + { + "left": "issue:5783", + "right": "issue:7549", + "accept": false, + "reason": "Both are SDXL training issues, but one is EMA not working in the training script and the other is a suspected UNet EMA bug; not clearly the same defect." + }, + { + "left": "issue:2192", + "right": "issue:6791", + "accept": false, + "reason": "Different training-script issues: missing CLI arguments in one script vs an SDXL training script that cannot run." + }, + { + "left": "issue:3177", + "right": "issue:7619", + "accept": false, + "reason": "DeepSpeed stage-3 offloading in Dreambooth is unrelated to a channel-number mismatch in advanced Dreambooth 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": 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-50-3013", + "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:5687", + "issue:5889", + "issue:5966", + "issue:6157", + "issue:6382", + "issue:6407", + "issue:6811", + "issue:6949", + "issue:7033", + "issue:7079", + "issue:7255", + "issue:730", + "issue:761", + "issue:7616", + "issue:7948", + "issue:8732", + "issue:8738", + "issue:8873", + "issue:9454", + "issue:9546", + "issue:9763" + ], + "soft_pairs": [ + "issue:5687|issue:7616", + "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" + ], + "prepared_review_unit_hash": "d3f74e51f642801bf80d5f4d59b5e49d9571652274ea83024ba44c94eeb9244b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34226, + "estimated_input_tokens": 8557, + "estimated_eval_tokens": 17370 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is largely heterogeneous: it mixes unrelated model-loading, scheduler, documentation, and training bugs. The only loose thematic concentration is around Flux/ControlNet training, but the specific failures differ enough that none of the soft pairs should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "issue:9546 is the best umbrella issue for the Flux ControlNet train-example memory-related reports in this set; it is broader and more representative than the more specific token-truncation or validation/OOM variants.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9546 has the clearest cluster-central topic and the most discussion among the Flux ControlNet training issues, so it is the best candidate to anchor that subtopic even though the set is not a true duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5687", + "right": "issue:7616", + "accept": false, + "reason": "Both mention bad img2img behavior, but one is a scheduler duplicate-timestep bug and the other is low-denoise artifacts in a specific model; not the same concrete failure." + }, + { + "left": "issue:2091", + "right": "issue:8732", + "accept": false, + "reason": "Checkpoint-resume failures and checkpoint-saving issues are related only broadly; they describe different training paths and different breakages." + }, + { + "left": "issue:1205", + "right": "issue:4974", + "accept": false, + "reason": "These are opposite conversion directions (SD to ONNX vs safetensors to diffusers) and are not the same change or bug." + }, + { + "left": "issue:2462", + "right": "issue:5966", + "accept": false, + "reason": "IterableDataset training support and ControlNet SD2.1 support are unrelated feature/usage topics." + }, + { + "left": "issue:6811", + "right": "issue:9454", + "accept": false, + "reason": "Both are 'model not found' reports, but for different models and likely different repository/config issues." + }, + { + "left": "issue:7079", + "right": "issue:8873", + "accept": false, + "reason": "Transformer patch/norm errors and xformers performance are distinct problems with no shared code-path evidence." + }, + { + "left": "issue:1249", + "right": "issue:1974", + "accept": false, + "reason": "ONNX pipeline ndarray device errors and Euler scheduler generator-list handling are unrelated." + }, + { + "left": "issue:11447", + "right": "issue:8873", + "accept": false, + "reason": "Offline checkpoint shard loading and xformers speed regressions are unrelated subsystems and failures." + }, + { + "left": "issue:255", + "right": "issue:3103", + "accept": false, + "reason": "Both concern image dimensions, but one is a Stable Diffusion unet_blocks error and the other is an inpainting height/width topic; not enough to be the same bug." + }, + { + "left": "issue:3019", + "right": "issue:6407", + "accept": false, + "reason": "These are different research-feature requests for text/image editing, not the same underlying issue." + }, + { + "left": "issue:5432", + "right": "issue:6949", + "accept": false, + "reason": "Both mention blank outputs, but one is blank validation images in a LoRA training script and the other is a scheduler-specific blank-image bug." + }, + { + "left": "issue:7255", + "right": "issue:7948", + "accept": false, + "reason": "Completely different model/proposal topics; no shared bug or change." + }, + { + "left": "issue:2991", + "right": "issue:761", + "accept": false, + "reason": "Mixed-precision ControlNet example failure and 8-bit Adam DreamBooth failure are different training configuration bugs." + }, + { + "left": "issue:9546", + "right": "issue:9763", + "accept": false, + "reason": "Both are Flux ControlNet training issues, but one is validation-step OOM while the other is token truncation beyond 77 tokens; different concrete bugs." + }, + { + "left": "issue:5023", + "right": "issue:5152", + "accept": false, + "reason": "Both are W\u00fcrstchen-related, but one is an import error in 0.21.0 and the other is a different bug in 0.21.3 alpha; not clearly the same issue." + }, + { + "left": "issue:10550", + "right": "issue:11702", + "accept": false, + "reason": "Both involve LoRA loading, but one is quantized-base-model loading and the other is an AccVid-specific key error; different code paths." + }, + { + "left": "issue:3540", + "right": "issue:6157", + "accept": false, + "reason": "TextToVideoZero prompt-embedding support and ControlNetImg2Img IP-Adapter behavior are unrelated pipeline bugs." + }, + { + "left": "issue:1552", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth/training-related, but the reported failures and conditions differ substantially." + }, + { + "left": "issue:6382", + "right": "issue:7033", + "accept": false, + "reason": "A training/loading key error with IP-Adapter and IP-Adapter attention masking warnings are not the same bug." + }, + { + "left": "issue:2581", + "right": "issue:4000", + "accept": false, + "reason": "ControlNet conversion support and SD2.0 ckpt-to-diffusers conversion are adjacent but not the same conversion task or failure." + }, + { + "left": "issue:4892", + "right": "issue:5889", + "accept": false, + "reason": "TokenFlow and Stable Video Diffusion are distinct video-generation features with no concrete duplicate evidence." + }, + { + "left": "issue:3191", + "right": "issue:3445", + "accept": false, + "reason": "DreamBooth+LoRA broken and text-encoder monkey-patching not working are related only at a very high level; different failure modes." + }, + { + "left": "issue:4993", + "right": "issue:5023", + "accept": false, + "reason": "CLIPImageProjection import-structure exposure and W\u00fcrstchenCombinedPipeline import error are separate import issues affecting different symbols." + }, + { + "left": "issue:10026", + "right": "issue:8738", + "accept": false, + "reason": "Flux ControlNet memory behavior and SD3Transformer2DModel configuration are different training/model-setup issues." + }, + { + "left": "issue:11133", + "right": "issue:12359", + "accept": false, + "reason": "CogVideoX image-to-video pipeline bug and Chroma guidance_scale documentation 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": 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-50-3013", + "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:6540", + "issue:6549", + "issue:6594", + "issue:6858", + "issue:7002", + "issue:7731", + "issue:7950", + "issue:7974", + "issue:8182", + "issue:8472", + "issue:8518", + "issue:8551", + "issue:858", + "issue:8879", + "issue:8958", + "issue:9630", + "issue:9889", + "issue:9979" + ], + "soft_pairs": [ + "issue:6540|issue:6858", + "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" + ], + "prepared_review_unit_hash": "45ad2ebb03a8073b9415e5615cc95178bc39ae6ba7620445d8e7f4e343e4092a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "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": "This cluster is mostly a loose collection of unrelated issues that only share broad symptom patterns (black/grey images, pipeline errors, training/runtime exceptions). None of the soft pairs look like safe duplicates under a strict same-code-path standard.", + "confidence": 0.37, + "canonical_issue_reason": "issue:10040 is the most general and representative visible-output corruption report in the set, with decent discussion and references, so it is the best canonical stand-in for the image-artifact subset.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10040 is concrete, recent, and broadly framed enough to anchor triage for the image-generation artifact reports; it is more representative than the highly specific one-off errors.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6540", + "right": "issue:6858", + "accept": false, + "reason": "Different failures: FSDP matrix-shape error in ControlNet fine-tuning vs a string/convert AttributeError during controlnet training." + }, + { + "left": "issue:11359", + "right": "issue:12120", + "accept": false, + "reason": "Feature request about LTX-Video speed vs a how-to question about training LoRA on a distilled Flux model; not the same bug." + }, + { + "left": "issue:11830", + "right": "issue:4321", + "accept": false, + "reason": "Both mention black output, but the pipelines and backends differ (FramePack float16 vs ONNX StableDiffusion DirectML), so this is too broad to merge as one bug." + }, + { + "left": "issue:1802", + "right": "issue:4186", + "accept": false, + "reason": "Different code paths and symptoms: encoder_hidden_states=None on unet_2d_condition vs SDXL inpaint/refiner behavior." + }, + { + "left": "issue:2107", + "right": "issue:2179", + "accept": false, + "reason": "Low-resolution glitch/black images vs FlaxDDPMScheduler black images; same broad symptom, but not clearly the same underlying defect." + }, + { + "left": "issue:6385", + "right": "issue:8551", + "accept": false, + "reason": "VRAM usage issue vs device placement bug for image latents; unrelated underlying problems." + }, + { + "left": "issue:11136", + "right": "issue:9889", + "accept": false, + "reason": "SanaSprint timestep support limitation vs SDXL-turbo segfault; different models and different failure modes." + }, + { + "left": "issue:10040", + "right": "issue:6258", + "accept": false, + "reason": "Grey image generation in SD3 vs quality degradation from forward chunking in Stable Video Diffusion; not the same bug." + }, + { + "left": "issue:2695", + "right": "issue:9630", + "accept": false, + "reason": "Tensorboard validation failure during training vs flux-controlnet num_single_layers handling on single GPU; unrelated." + }, + { + "left": "issue:2495", + "right": "issue:4321", + "accept": false, + "reason": "Both produce black images, but they are distinct pipelines/backends (MPS upscale vs ONNX DirectML), so they should not be merged." + }, + { + "left": "issue:11410", + "right": "issue:7950", + "accept": false, + "reason": "Attention unpacking ValueError vs PyTorch 2.3 compatibility issue; not the same concrete code-path." + }, + { + "left": "issue:6549", + "right": "issue:7974", + "accept": false, + "reason": "Warning-log typo/reporting issue vs IP-Adapter inpaint bug; different symptoms and fixes." + }, + { + "left": "issue:4936", + "right": "issue:8472", + "accept": false, + "reason": "Dreambooth resume regression vs a question about training LoRA with other modules; not duplicate bug reports." + }, + { + "left": "issue:5227", + "right": "issue:8879", + "accept": false, + "reason": "LoRA loading with torch.compile vs torch.compile+cudagraph failure on SDXL; related theme, but not the same underlying defect." + }, + { + "left": "issue:11006", + "right": "issue:11104", + "accept": false, + "reason": "Wan 2.1 I2V quantized-transformer video corruption vs LTX-Video offload methods broken; different pipelines and failure mechanisms." + }, + { + "left": "issue:1536", + "right": "issue:3213", + "accept": false, + "reason": "Both concern lpw_stable_diffusion, but one is a compatibility report and the other is a later breakage report; insufficient evidence they are the same bug." + }, + { + "left": "issue:4752", + "right": "issue:5274", + "accept": false, + "reason": "SDXL bias/input dtype mismatch in inference vs mixed-precision training dtype error; similar dtype flavor, but different code paths and likely different fixes." + }, + { + "left": "issue:8182", + "right": "issue:8958", + "accept": false, + "reason": "Logger API typo vs torch.library.register_fake missing in PyTorch 2.4; completely unrelated." + }, + { + "left": "issue:8518", + "right": "issue:8879", + "accept": false, + "reason": "SD3 torch.compile unsupported UserDefinedClassVariable vs SDXL torch.compile+cudagraph failure; different models and compiler failure sites." + }, + { + "left": "issue:1100", + "right": "issue:858", + "accept": false, + "reason": "CLIPTextTransformer device attribute issue vs Parameter.named_children AttributeError; different API breakages." + }, + { + "left": "issue:4892", + "right": "issue:7731", + "accept": false, + "reason": "Distinct research/pipeline features (TokenFlow vs StreamingT2V), not the same bug." + }, + { + "left": "issue:10428", + "right": "issue:9979", + "accept": false, + "reason": "Both mention Flux, but one is an Ascend NPU inference error and the other is a controlnet channels mismatch; different problems." + }, + { + "left": "issue:1695", + "right": "issue:2089", + "accept": false, + "reason": "Dreambooth multi-GPU/deepspeed training request vs a CUDA OOM in AltDiffusion DreamBooth; unrelated." + }, + { + "left": "issue:4030", + "right": "issue:6594", + "accept": false, + "reason": "Stable Diffusion embedding runtime error vs network failure fetching a remote config file; not duplicate issues." + }, + { + "left": "issue:6090", + "right": "issue:7002", + "accept": false, + "reason": "Channel-count mismatch in a model layer vs an invalid buffer size memory error; different root 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": 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-50-3013", + "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:11853", + "issue:2234", + "issue:2265", + "issue:259", + "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:7168", + "issue:7516", + "issue:7982", + "issue:8832", + "issue:9136", + "issue:9208", + "issue:9525", + "issue:9558", + "issue:987" + ], + "soft_pairs": [ + "issue:7168|issue:8832", + "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" + ], + "prepared_review_unit_hash": "cfceafada8fdff137a5554f74a1b7eff8f5057a5e8bdacf9ffb372ba3c516474", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33213, + "estimated_input_tokens": 8304, + "estimated_eval_tokens": 16864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: LoRA/Flux loading and scaling issues appear alongside unrelated training, scheduler, docs, and pipeline bugs. None of the soft pairs look like true duplicates; they\u2019re only loosely similar by subsystem.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 9525 is the clearest concrete bug report in the densest recurring theme (Flux/LoRA behavior), but the overall cluster is too mixed to treat it as a real duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9525 is the most actionable standalone report: specific title, clear symptom, and a focused code-path (Flux LoRA scale handling).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7168", + "right": "issue:8832", + "accept": false, + "reason": "Different problems: IP-Adapter image embedding tensor shape vs a generic pipeline crash on `pipe(prompt)`." + }, + { + "left": "issue:2265", + "right": "issue:3886", + "accept": false, + "reason": "Different failures: ONNXRuntime incompatibility in a training script vs distributed collective timeout during ddpm training." + }, + { + "left": "issue:10492", + "right": "issue:11062", + "accept": false, + "reason": "Related to quantization/LoRA, but one is a torchao quantize fuse error and the other is a CivitAI LoRA load error in a different setup." + }, + { + "left": "issue:11014", + "right": "issue:3382", + "accept": false, + "reason": "Both mention OOM, but the contexts differ: inference on Colab A100 vs multi-GPU training memory usage." + }, + { + "left": "issue:10223", + "right": "issue:4398", + "accept": false, + "reason": "Completely different topics: a question about a LoRA ID for inference vs all-black images in an SDXL LoRA dreambooth pipeline." + }, + { + "left": "issue:5128", + "right": "issue:9208", + "accept": false, + "reason": "Both involve loading files/models, but one is a local `.safetensors` load and the other is ControlNet loading from single-file checkpoints." + }, + { + "left": "issue:5215", + "right": "issue:5630", + "accept": false, + "reason": "Both are image-quality regressions, but one is brightness shift in upscale and the other is leftover noise in SDXL img2img with LMS." + }, + { + "left": "issue:3566", + "right": "issue:987", + "accept": false, + "reason": "Both report unexpected output colors/artifacts, but the pipelines and symptoms are different (ControlNet reference vs speech-to-image green output)." + }, + { + "left": "issue:5630", + "right": "issue:9558", + "accept": false, + "reason": "Different manifestations: noise leftover in SDXL img2img vs black validation images in tensorboard." + }, + { + "left": "issue:11853", + "right": "issue:9136", + "accept": false, + "reason": "Not the same bug: one is a controlnet+IP-Adapter dimension conflict, the other is a general quality issue at some resolutions." + }, + { + "left": "issue:6154", + "right": "issue:6741", + "accept": false, + "reason": "Different training problems: SDXL LoRA training on M2 Mac vs a missing `no_flip` argument in a Diffusion DPO script." + }, + { + "left": "issue:3595", + "right": "issue:7982", + "accept": false, + "reason": "Both are `from_*`/loading-related, but one is `from_ckpt` failure and the other is `from_pipe` with MultiControlNetModel." + }, + { + "left": "issue:2234", + "right": "issue:6297", + "accept": false, + "reason": "Both concern training, but one is xformers memory-efficient attention and the other is SDXL LoRA training on photos." + }, + { + "left": "issue:5258", + "right": "issue:5433", + "accept": false, + "reason": "Different SDXL/refiner issues: controlnet inpaint with refiner vs DPM++ artifacts without refiner." + }, + { + "left": "issue:10165", + "right": "issue:10866", + "accept": false, + "reason": "Both mention LoRA, but one is seed preservation when changing scale and the other is a Lumina/Civitai compatibility problem." + }, + { + "left": "issue:5064", + "right": "issue:5075", + "accept": false, + "reason": "Both involve SDXL refiner usage, but one is out-of-space inference and the other is a prompt-embedding shape mismatch." + }, + { + "left": "issue:1013", + "right": "issue:3149", + "accept": false, + "reason": "Different core bugs: a specific StableDiffusionMegaPipeline compatibility issue vs nondeterministic image generation." + }, + { + "left": "issue:1049", + "right": "issue:3412", + "accept": false, + "reason": "Both are docs-related, but they request different documentation updates (Euler schedulers vs stable diffusion next steps)." + }, + { + "left": "issue:10512", + "right": "issue:10804", + "accept": false, + "reason": "Related to FLUX LoRA loading, but one is Quanto Flux LoRA load failure and the other is a ComfyUI-compatible FLUX1.dev LoRA load failure." + }, + { + "left": "issue:1061", + "right": "issue:2880", + "accept": false, + "reason": "Different content entirely: a text inversion docs update vs a JAX Colab runtime failure." + }, + { + "left": "issue:1070", + "right": "issue:259", + "accept": false, + "reason": "Different pipelines and symptoms: inpainting bug in new SD vs progress bar behavior in Stable Diffusion." + }, + { + "left": "issue:10940", + "right": "issue:7516", + "accept": false, + "reason": "Unrelated import/runtime issues: missing `triton.ops` vs missing `DepthNormalEstimationPipeline` symbol." + }, + { + "left": "issue:11215", + "right": "issue:9525", + "accept": false, + "reason": "Both touch LoRA and quantization/Flux, but one is about slow quantization and ineffective LoRA support, not the same as `lora_scale` having no effect." + }, + { + "left": "issue:11464", + "right": "issue:11648", + "accept": false, + "reason": "Both are Flux/LoRA-related, but one is loading a specific Canny-dev LoRA in FluxControlPipeline and the other is fp8 transformer LoRA weight 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": 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-50-3013", + "nodes": [ + "issue:1185", + "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:2599", + "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: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:905", + "issue:9178", + "issue:9637" + ], + "soft_pairs": [ + "issue:1185|issue:2599", + "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" + ], + "prepared_review_unit_hash": "d09b840b81656e8e5645999b5000d223f5c3a87dea35c61653624fd27316622b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32722, + "estimated_input_tokens": 8181, + "estimated_eval_tokens": 16618 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad false positive: it mixes Dreambooth/LoRA training bugs, pipeline feature requests, platform-specific errors, and unrelated questions. None of the soft-edge pairs look like the same underlying issue or change.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 4117 is the most substantial bug report in the training-related subset and the closest thing to a cluster anchor, but it is still distinct from the other Dreambooth/LoRA reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4117 is the strongest representative artifact: detailed repro, clear failure mode, and the broadest relevance among the training-bug issues in this mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1185", + "right": "issue:2599", + "accept": false, + "reason": "Both concern Dreambooth results, but one is about reproducibility and the other about multi-subject quality degradation; different bugs." + }, + { + "left": "issue:11964", + "right": "issue:9178", + "accept": false, + "reason": "Both mention Flux LoRA, but one is a load-time missing-weights KeyError and the other is a training target-module error." + }, + { + "left": "issue:1304", + "right": "issue:2093", + "accept": false, + "reason": "These are both image-to-image related, but one is a how-to/training question and the other is a generic model-topic issue." + }, + { + "left": "issue:1305", + "right": "issue:5153", + "accept": false, + "reason": "Direct Inversion and FreeU are unrelated research/features; no shared bug or change path." + }, + { + "left": "issue:1500", + "right": "issue:2053", + "accept": false, + "reason": "One is a community pipeline incompatibility, the other is a VRAM regression; different symptoms and code paths." + }, + { + "left": "issue:1552", + "right": "issue:1807", + "accept": false, + "reason": "Attention slicing breakage is not the same as gradually slowing inference; different performance issues." + }, + { + "left": "issue:1572", + "right": "issue:4933", + "accept": false, + "reason": "Img2img/inpainting pipeline failure is unrelated to Dreambooth checkpoint export problems." + }, + { + "left": "issue:2218", + "right": "issue:5014", + "accept": false, + "reason": "Both describe poor training outcomes, but one is generic overtraining and the other is specifically LoRA results not showing up." + }, + { + "left": "issue:2361", + "right": "issue:4376", + "accept": false, + "reason": "Checkpoint-save crashing and textual inversion crashing are different failures in different scripts/pipelines." + }, + { + "left": "issue:2437", + "right": "issue:4064", + "accept": false, + "reason": "Both are pipeline feature requests, but for different pipeline types and different functionality." + }, + { + "left": "issue:2462", + "right": "issue:540", + "accept": false, + "reason": "IterableDataset support and GPU memory usage are unrelated training concerns." + }, + { + "left": "issue:2645", + "right": "issue:660", + "accept": false, + "reason": "Both involve Apple hardware, but one is a ControlNet CUDA assertion and the other is fp16/MPS execution." + }, + { + "left": "issue:2689", + "right": "issue:776", + "accept": false, + "reason": "A broken image link is not the same as an img2img batch-size bug." + }, + { + "left": "issue:2776", + "right": "issue:5595", + "accept": false, + "reason": "DeepSpeed/ZeRO runtime failure is unrelated to invalid image size dimensions." + }, + { + "left": "issue:2783", + "right": "issue:905", + "accept": false, + "reason": "Both mention img2img/inpainting, but one is a ControlNet pipeline request and the other is a broader community pipeline question." + }, + { + "left": "issue:2785", + "right": "issue:4080", + "accept": false, + "reason": "M1/M2 text-to-video support and SDXL inpainting are different feature requests for different pipelines." + }, + { + "left": "issue:2844", + "right": "issue:668", + "accept": false, + "reason": "StableUnCLIP image-embedding passing and Dreambooth on Colab are unrelated runtime errors." + }, + { + "left": "issue:2991", + "right": "issue:9637", + "accept": false, + "reason": "Both touch attention/mixed precision, but they affect different mechanisms: ControlNet mixed-precision vs XFormers attention-mask/bfloat16 edge case." + }, + { + "left": "issue:3175", + "right": "issue:3803", + "accept": false, + "reason": "Multi-face Dreambooth training and multi-GPU LoRA synchronization are different training problems." + }, + { + "left": "issue:3583", + "right": "issue:7428", + "accept": false, + "reason": "These are separate feature requests for different diffusion variants; no same implementation target." + }, + { + "left": "issue:3811", + "right": "issue:4868", + "accept": false, + "reason": "LoRA load having no effect on generation is not the same as a generic AttributeError in __getattr__." + }, + { + "left": "issue:383", + "right": "issue:528", + "accept": false, + "reason": "Both are conceptual questions about model classes, but they are about different frameworks and different topics." + }, + { + "left": "issue:4080", + "right": "issue:6158", + "accept": false, + "reason": "SDXL inpainting and animatediff SDXL support are separate pipeline features." + }, + { + "left": "issue:4117", + "right": "issue:684", + "accept": false, + "reason": "Dreambooth failing on SDXL is unrelated to AMD training memory optimization 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": 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-50-3013", + "nodes": [ + "issue:12369", + "issue:12457", + "issue:12480", + "issue:12481", + "issue:12482", + "issue:12483", + "issue:2453", + "issue:4152", + "issue:4241", + "issue:4274", + "issue:4316", + "issue:4340", + "issue:4405", + "issue:4460", + "issue:4727", + "issue:4773", + "issue:4806", + "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:7877", + "issue:8472", + "issue:8532", + "issue:9393", + "issue:9568", + "issue:9611", + "issue:9645", + "issue:9767", + "issue:986" + ], + "soft_pairs": [ + "issue:4152|issue:7877", + "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" + ], + "prepared_review_unit_hash": "4e391ebdd7279f255cdf9d73a62083af3a4483abf58579417381147f78b3473e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33140, + "estimated_input_tokens": 8285, + "estimated_eval_tokens": 16826 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated issue reports, except for a tight duplicate set about `offload_state_dict` / `CLIPTextModel` / the diffusers-transformers dependency conflict. I would use issue 12483 as the canonical issue for that duplicate group.", + "confidence": 0.95, + "canonical_issue_reason": "12483 is the most complete and highest-level report in the duplicate set: it frames the problem as a diffusers 0.35.1 vs transformers 4.57.0 dependency conflict causing the `offload_state_dict` TypeError, while 12480-12482 are narrower near-duplicate titles of the same failure.", + "canonical_pr_reason": null, + "best_issue_reason": "12483 is the best triage anchor because it captures the underlying compatibility problem, not just the surface CLIPTextModel constructor error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4152", + "right": "issue:7877", + "accept": false, + "reason": "Both concern attention APIs, but one asks for mixed attention kwargs per processor and the other for an `out_dim` option on Attention; different feature requests." + }, + { + "left": "issue:4274", + "right": "issue:5371", + "accept": false, + "reason": "Both mention BLIP, but one requests BLIP Diffusion support and the other BLIP inpainting pipeline support; separate additions." + }, + { + "left": "issue:4316", + "right": "issue:5432", + "accept": false, + "reason": "Both are training-script validation issues, but they affect different scripts and symptoms, so they are not the same bug." + }, + { + "left": "issue:4340", + "right": "issue:8472", + "accept": false, + "reason": "One is an SDXL LoRA training error and the other is a general question about training LoRA with other modules; not the same concrete problem." + }, + { + "left": "issue:4405", + "right": "issue:6388", + "accept": false, + "reason": "Textual inversion script request and gradient-checkpointing ignored in SDXL LoRA training are unrelated changes." + }, + { + "left": "issue:4460", + "right": "issue:7142", + "accept": false, + "reason": "Both compare diffusers output against another implementation, but they involve different models and failure modes." + }, + { + "left": "issue:4727", + "right": "issue:5577", + "accept": false, + "reason": "One is about `local_files_only` auto pipelines; the other is a `from_single_file` ControlNet key error. Different code paths." + }, + { + "left": "issue:4773", + "right": "issue:8532", + "accept": false, + "reason": "Both involve LoRA loading, but one is about loading a specific CivitAI LoRA and the other about progressive memory growth; different bugs." + }, + { + "left": "issue:4806", + "right": "issue:5330", + "accept": false, + "reason": "Both touch UNet2DModel, but one is a parameter type issue and the other is `class_labels` being ignored in forward; not the same defect." + }, + { + "left": "issue:5004", + "right": "issue:6439", + "accept": false, + "reason": "Checkpoint-resume training failure and a broken docs link are unrelated." + }, + { + "left": "issue:5150", + "right": "issue:5405", + "accept": false, + "reason": "Both mention `from_single_file`, but one is a missing method on StableDiffusionUpscalePipeline and the other is weights not being overwritten in SDXL loading." + }, + { + "left": "issue:5392", + "right": "issue:986", + "accept": false, + "reason": "A training question for latent diffusion and a butterfly demo question are unrelated." + }, + { + "left": "issue:5932", + "right": "issue:7002", + "accept": false, + "reason": "Both are runtime errors in pipelines, but they describe different symptoms and likely different root causes." + }, + { + "left": "issue:6218", + "right": "issue:7592", + "accept": false, + "reason": "Batch seed handling in pipelines vs incomplete DoRA state dict loading are unrelated." + }, + { + "left": "issue:6297", + "right": "issue:9393", + "accept": false, + "reason": "Both are LoRA training problems, but they involve different models, tooling, and failure points." + }, + { + "left": "issue:6791", + "right": "issue:7146", + "accept": false, + "reason": "Same training script, but one report says it cannot run while the other is specifically CUDA OOM; not the same issue." + }, + { + "left": "issue:6865", + "right": "issue:9645", + "accept": false, + "reason": "A load_image type-check bug and an import error for a loader mixin are unrelated." + }, + { + "left": "issue:7009", + "right": "issue:9568", + "accept": false, + "reason": "Different model families and different reconstruction/generation failures." + }, + { + "left": "issue:9611", + "right": "issue:9767", + "accept": false, + "reason": "Both involve FluxImg2ImgPipeline, but one is an image 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": "Same `offload_state_dict` TypeError family; 12481 is just another phrasing of the same diffusers/transformers incompatibility." + }, + { + "left": "issue:12482", + "right": "issue:12483", + "accept": true, + "reason": "Same underlying bug: `CLIPTextModel` receives unexpected `offload_state_dict`, matching the same compatibility problem." + }, + { + "left": "issue:12480", + "right": "issue:12483", + "accept": true, + "reason": "Same root cause and error path; 12480 is a duplicate report of the `offload_state_dict` constructor failure." + }, + { + "left": "issue:2453", + "right": "issue:6423", + "accept": false, + "reason": "General contribution question and a specific reproducibility issue are unrelated." + }, + { + "left": "issue:2453", + "right": "issue:4241", + "accept": false, + "reason": "A contribution question and a LoRA fine-tuning feature request are not duplicates." + }, + { + "left": "issue:12369", + "right": "issue:12457", + "accept": false, + "reason": "Both are CineScale-related, but the titles are too broad to confirm the same bug or change; insufficient evidence for a duplicate merge." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: 12369/12457 is a separate CineScale pair, and 12480/12481/12482/12483 are a clear duplicate cluster around the same `offload_state_dict` / `CLIPTextModel` constructor failure. The soft-edge rejections are conservative and the accepted duplicates are well supported by the near-identical titles and high similarity scores." + }, + "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-50-3013", + "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:3698", + "issue:378", + "issue:384", + "issue:3902", + "issue:4241", + "issue:4445", + "issue:4609", + "issue:4716", + "issue:4747", + "issue:4750", + "issue:4876", + "issue:4913", + "issue:4922", + "issue:4978", + "issue:5274", + "issue:5425", + "issue:5447", + "issue:5628", + "issue:5630", + "issue:5932", + "issue:5947", + "issue:6423", + "issue:6572", + "issue:692", + "issue:7619", + "issue:9031", + "issue:9032", + "issue:9038", + "issue:9039", + "issue:9047", + "issue:9224", + "issue:9410" + ], + "soft_pairs": [ + "issue:3698|issue:4445", + "issue:4241|issue:4876", + "issue:4241|issue:6423", + "issue:4445|issue:4876", + "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" + ], + "prepared_review_unit_hash": "a23ea9e51211db08377febf02ae14ebd6430d169449931f451d33af42a611df0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 34301, + "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 heterogeneous cluster of unrelated feature requests and bug reports. The only strong duplicate family I see is the DreamBooth channel-mismatch error pair (5932/7619), with a second textual-inversion/DiagonalGaussianDistribution pair (378/384) also looking like the same underlying bug. The other soft pairs are broader similarity matches but not true duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 5932 is the clearest concrete bug report in the set and has the strongest duplicate match (7619) with a reproducible channel-mismatch traceback.", + "canonical_pr_reason": null, + "best_issue_reason": "5932 is the best issue to keep as the canonical representative of its bug family; most other items are feature/support requests rather than the same defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:4445", + "accept": false, + "reason": "Different asks: converting an inpainting model to diffusers vs guidance on LoRA finetuning." + }, + { + "left": "issue:4241", + "right": "issue:4876", + "accept": false, + "reason": "Both mention LoRA, but one is about fine-tuning support and the other is about exposing a layer-std argument; not the same change." + }, + { + "left": "issue:4241", + "right": "issue:6423", + "accept": false, + "reason": "Unrelated feature request vs reproduction issue for fill50k results." + }, + { + "left": "issue:4445", + "right": "issue:4876", + "accept": false, + "reason": "Finetuning how-to vs LoRA initialization parameter request; different topics." + }, + { + "left": "issue:4445", + "right": "issue:692", + "accept": false, + "reason": "General fine-tuning example request is not the same as a LoRA finetuning question." + }, + { + "left": "issue:3576", + "right": "issue:3593", + "accept": false, + "reason": "Both involve xformers, but one is Textual Inversion and the other is LoRA/PyTorch 2.0 second-call failure; different code paths." + }, + { + "left": "issue:4913", + "right": "issue:6572", + "accept": false, + "reason": "Different pipeline/model requests: ControlNet openpose for SDXL vs ControlNetXS inpaint pipeline." + }, + { + "left": "issue:1755", + "right": "issue:4609", + "accept": false, + "reason": "No meaningful overlap beyond generic support-request noise; unrelated subjects." + }, + { + "left": "issue:1755", + "right": "issue:2311", + "accept": false, + "reason": "Generic unrelated issue vs UniPC scheduler request." + }, + { + "left": "issue:4922", + "right": "issue:692", + "accept": false, + "reason": "Android demo request is unrelated to diffusion fine-tuning examples." + }, + { + "left": "issue:4750", + "right": "issue:4978", + "accept": false, + "reason": "Both touch inpainting preprocessors, but they ask for different specific preprocessors and behaviors; not clearly the same change." + }, + { + "left": "issue:200", + "right": "issue:202", + "accept": false, + "reason": "Different test additions for different files/classes." + }, + { + "left": "issue:11560", + "right": "issue:9410", + "accept": false, + "reason": "Generic import error is too vague to treat as the same as the SD3 ControlNet inpainting import failure." + }, + { + "left": "issue:9031", + "right": "issue:9032", + "accept": false, + "reason": "Different FlaxStableDiffusionPipeline questions: safety checker vs TPU colab setup." + }, + { + "left": "issue:4716", + "right": "issue:4747", + "accept": false, + "reason": "SDXL long-prompt handling vs missing model_index.json after loading a fine-tuned LoRA; unrelated issues." + }, + { + "left": "issue:378", + "right": "issue:384", + "accept": true, + "reason": "Same Textual Inversion / DiagonalGaussianDistribution bug family; 384 reads like the concrete error manifestation of 378." + }, + { + "left": "issue:1962", + "right": "issue:3902", + "accept": false, + "reason": "Both are video-related, but one is a stable-diffusion video-generation request and the other is a Control-A-Video request." + }, + { + "left": "issue:9038", + "right": "issue:9039", + "accept": false, + "reason": "Prompt weighting and LoRA loading are separate API requests, not one duplicate bug." + }, + { + "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 up-to-4K." + }, + { + "left": "issue:5447", + "right": "issue:5628", + "accept": false, + "reason": "Both concern denoising start/end behavior, but they target different scheduler configurations and symptoms; too broad to merge as one bug." + }, + { + "left": "issue:9047", + "right": "issue:9224", + "accept": false, + "reason": "MPS failure vs a specific float64-on-Metal limitation; related theme, but not clearly the same underlying defect from the available evidence." + }, + { + "left": "issue:2453", + "right": "issue:2838", + "accept": false, + "reason": "Contribution questions and ControlNet pipeline behavior are unrelated." + }, + { + "left": "issue:5932", + "right": "issue:7619", + "accept": true, + "reason": "Same concrete DreamBooth channel-count mismatch; 7619 is essentially the same error class as 5932." + }, + { + "left": "issue:5274", + "right": "issue:5425", + "accept": false, + "reason": "Different training/checkpointing problems; no shared concrete bug." + }, + { + "left": "issue:1962", + "right": "issue:2195", + "accept": false, + "reason": "Both mention video, but they are different feature requests with different targets." + }, + { + "left": "issue:3385", + "right": "issue:3427", + "accept": false, + "reason": "Distinct model-support requests for different JAX integrations." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge verdicts are generally conservative. The main duplicate family callout (5932/7619) is well supported, and the other pairs are mostly reasonable false negatives. Minor caution: avoid wording that implies extra evidence not shown in the packet (for example, a specific 'traceback') unless it appears in the issue text." + }, + "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-50-3013", + "nodes": [ + "issue:10049", + "issue:11432", + "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:671", + "issue:743", + "issue:7972", + "issue:8241", + "issue:9042", + "issue:9264", + "issue:9825" + ], + "soft_pairs": [ + "issue:7972|issue:8241", + "issue:671|issue:743", + "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" + ], + "prepared_review_unit_hash": "4beb389ab275dfe8d3b19c2ebcf5fef1dc71649b04981687ff38cdcb520438e0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 32730, + "estimated_input_tokens": 8183, + "estimated_eval_tokens": 16622 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly false-positive similarity pairs across unrelated feature requests and bugs (diffusers, Wan, Z-Image, Flux, tests, and model import/conversion issues). I would not merge any of the soft edges.", + "confidence": 0.67, + "canonical_issue_reason": "If a single issue must anchor this bucket, issue 11555 is the cleanest representative because it is a clearly scoped, actionable feature request with discussion and references; the rest are mostly narrower or unrelated reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11555 is the strongest standalone issue here: it has a clear request, active discussion, and enough specificity to be triaged without depending on other reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7972", + "right": "issue:8241", + "accept": false, + "reason": "Both mention LEDITS++, but one is a type-mismatch bug and the other is a model-size anomaly; different underlying problems." + }, + { + "left": "issue:671", + "right": "issue:743", + "accept": false, + "reason": "Both are about conversion, but one reports non-identical converted outputs while the other cannot convert a ckpt at all." + }, + { + "left": "issue:3698", + "right": "issue:5162", + "accept": false, + "reason": "Different change requests: inpainting conversion vs a folder-to-safetensors script." + }, + { + "left": "issue:2838", + "right": "issue:5947", + "accept": false, + "reason": "No shared code path; controlnet pipeline behavior and Diffusion-DPO policy objectives are unrelated." + }, + { + "left": "issue:1755", + "right": "issue:5480", + "accept": false, + "reason": "No concrete overlap; a generic Arabic-titled issue and an EDM implementation request are not the same bug/change." + }, + { + "left": "issue:9042", + "right": "issue:9264", + "accept": false, + "reason": "Both are Flux-related, but one requests the base Flux pipeline and the other asks for a Flux inpainting model; distinct feature work." + }, + { + "left": "issue:11630", + "right": "issue:11878", + "accept": false, + "reason": "Same model family, but different problems: single-file loading support versus GGUF compatibility for a specific model size." + }, + { + "left": "issue:201", + "right": "issue:338", + "accept": false, + "reason": "Different test additions for different components; they are not the same test failure or fix." + }, + { + "left": "issue:201", + "right": "issue:339", + "accept": false, + "reason": "Same as above: separate test coverage requests, not one underlying issue." + }, + { + "left": "issue:2221", + "right": "issue:2268", + "accept": false, + "reason": "Both are ColossalAI errors in general, but there is no evidence they are the same failing code path or fix." + }, + { + "left": "issue:10049", + "right": "issue:11560", + "accept": false, + "reason": "Both are import errors, but one is specific to MochiPipeline while the other is generic and lacks evidence of the same root cause." + }, + { + "left": "issue:4913", + "right": "issue:5926", + "accept": false, + "reason": "Different model requests entirely: controlnet-openpose-sdxl versus Kandinsky 3.0." + }, + { + "left": "issue:13232", + "right": "issue:13351", + "accept": false, + "reason": "Different model/support requests for unrelated families (LTX vs Wan/Flux controlnet)." + }, + { + "left": "issue:1158", + "right": "issue:1160", + "accept": false, + "reason": "Both are test problems, but one is test interference in config tests and the other is a hang in a local custom pipeline test." + }, + { + "left": "issue:9042", + "right": "issue:9825", + "accept": false, + "reason": "Both involve Flux, but one is adding the pipeline and the other is adding IPAdapter support; separate concrete changes." + }, + { + "left": "issue:4835", + "right": "issue:5112", + "accept": false, + "reason": "Same pipeline name, but different bugs: MultiControlNetModel handling versus a torch.Size type error." + }, + { + "left": "issue:6042", + "right": "issue:6572", + "accept": false, + "reason": "Unrelated feature requests: SDXL-turbo distillation example versus a ControlNetXS inpaint pipeline." + }, + { + "left": "issue:2830", + "right": "issue:4609", + "accept": false, + "reason": "Different model requests with no shared underlying defect or implementation path." + }, + { + "left": "issue:3699", + "right": "issue:4141", + "accept": false, + "reason": "Completely unrelated: macOS CUDA import error versus controlnet inpaint not respecting the second controlnet." + }, + { + "left": "issue:12097", + "right": "issue:12896", + "accept": false, + "reason": "Both are Wan2.2 issues, but one is a VRAM OOM at the end and the other is an MPS backend failure; different symptoms and likely different fixes." + }, + { + "left": "issue:12732", + "right": "issue:12738", + "accept": false, + "reason": "Both concern Z-Image, but one is a generic inference pipeline error while the other is a batch-size assertion failure; not enough evidence they are the same bug." + }, + { + "left": "issue:12567", + "right": "issue:13105", + "accept": false, + "reason": "Both mention noise, but one is specifically tied to Ulysses Attention and the other to a Wan T2V model output issue." + }, + { + "left": "issue:11432", + "right": "issue:11555", + "accept": false, + "reason": "Both use \"auto\", but one is a torch_dtype parsing bug and the other is a device_map support request; different code paths." + }, + { + "left": "issue:2195", + "right": "issue:2984", + "accept": false, + "reason": "Different video-generation requests with no clear shared root cause or implementation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10120", + "issue:1076", + "issue:10760", + "issue:11315", + "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:6008", + "issue:6042", + "issue:6287", + "issue:6393", + "issue:6423", + "issue:6444", + "issue:6482", + "issue:6572", + "issue:7303", + "issue:7408", + "issue:8477", + "issue:8493", + "issue:8560", + "issue:8738", + "issue:8803", + "issue:8894", + "issue:9218", + "issue:9220" + ], + "soft_pairs": [ + "issue:8493|issue:8738", + "issue:11315|issue:11436", + "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" + ], + "prepared_review_unit_hash": "03903b07fdff4db092d807e9722b29e500d3d55f5665fe844bc48547628aecda", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 33657, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 + }, + "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 contains many unrelated issue reports. All soft-pair candidates are false positives and should be kept separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8493", + "right": "issue:8738", + "accept": false, + "reason": "Both concern SD3Transformer2DModel, but one is a state_dict loading error and the other is a configuration issue; similar subsystem, not the same bug." + }, + { + "left": "issue:11315", + "right": "issue:11436", + "accept": false, + "reason": "Both are HiDream dtype-related, but one is a float64 RoPE/MPS failure and the other is a Half vs BFloat16 matmul mismatch; different code paths and symptoms." + }, + { + "left": "issue:4269", + "right": "issue:4615", + "accept": false, + "reason": "Different problems: a TypeError from default args in check_inputs versus an import-name failure for ControlNetPipeline." + }, + { + "left": "issue:6287", + "right": "issue:8803", + "accept": false, + "reason": "One is dependency cleanup in setup.py, the other is a duplicate assignment in attention_processor.py; no duplicate bug/change." + }, + { + "left": "issue:11436", + "right": "issue:11653", + "accept": false, + "reason": "One reports a runtime dtype mismatch in HiDream inference; the other requests support for .alpha LoRA keys. Different issues." + }, + { + "left": "issue:2453", + "right": "issue:5017", + "accept": false, + "reason": "General contribution question versus a feature request for control mode in ControlNet; unrelated." + }, + { + "left": "issue:10760", + "right": "issue:12606", + "accept": false, + "reason": "Both mention imports, but they refer to different scripts and different import failures." + }, + { + "left": "issue:11821", + "right": "issue:11878", + "accept": false, + "reason": "WanVACE prompt-list support and WanVACE GGUF 1.3B loading are distinct issues." + }, + { + "left": "issue:10120", + "right": "issue:8560", + "accept": false, + "reason": "Both mention SD3 training memory/OOM, but one is DreamBooth+SD3 memory consumption and the other is a 4090 OOM during SD3 training; not the same concrete bug." + }, + { + "left": "issue:1076", + "right": "issue:321", + "accept": false, + "reason": "Completely different topics: stable-diffusion-v1-5 discussion versus blended diffusion." + }, + { + "left": "issue:3728", + "right": "issue:7408", + "accept": false, + "reason": "Different proposed pipelines/models: Shifted Diffusion versus FRESCO." + }, + { + "left": "issue:4225", + "right": "issue:4406", + "accept": false, + "reason": "ControlNet state_dict loading errors are not the same as a safetensor header deserialization failure." + }, + { + "left": "issue:2015", + "right": "issue:6572", + "accept": false, + "reason": "Categorical diffusion pipeline and ControlNetXS-SDXL-Inpaint-Pipeline are unrelated feature requests." + }, + { + "left": "issue:321", + "right": "issue:322", + "accept": false, + "reason": "Different diffusion methods/models: Blended Diffusion versus V-Diffusion." + }, + { + "left": "issue:3788", + "right": "issue:7408", + "accept": false, + "reason": "UniControl and FRESCO are separate pipeline requests with different functionality." + }, + { + "left": "issue:6444", + "right": "issue:6482", + "accept": false, + "reason": "Both are training-script failures, but they are different errors triggered by different conditions." + }, + { + "left": "issue:4232", + "right": "issue:5284", + "accept": false, + "reason": "Instruct-pix2pix via ControlNet condition is not the same change as ControlNet-LLLite support." + }, + { + "left": "issue:6008", + "right": "issue:6393", + "accept": false, + "reason": "IP-Adapter/LCM LoRA failure and private HF download failure through from_single_file are unrelated." + }, + { + "left": "issue:9218", + "right": "issue:9220", + "accept": false, + "reason": "PAG guess-mode support request versus an undefined-variable bug in PAG pipeline code; not the same bug." + }, + { + "left": "issue:1755", + "right": "issue:2635", + "accept": false, + "reason": "General discussion thread versus a scheduler naming question; no duplicate relationship." + }, + { + "left": "issue:8477", + "right": "issue:8894", + "accept": false, + "reason": "Both involve training scripts, but they reference different scripts and likely different distributed-training failures." + }, + { + "left": "issue:1962", + "right": "issue:3838", + "accept": false, + "reason": "Video generation with stable diffusion and Video Composer are distinct topics." + }, + { + "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": "General thread versus a question about combining reference-only, inpainting, and depth control; not duplicates." + }, + { + "left": "issue:5017", + "right": "issue:6423", + "accept": false, + "reason": "Control mode request for ControlNet and inability to reproduce fill50k results are unrelated." + }, + { + "left": "issue:5017", + "right": "issue:7303", + "accept": false, + "reason": "Control mode for ControlNet and enabling zero_snr via from_pretrained are unrelated." + }, + { + "left": "issue:2195", + "right": "issue:3838", + "accept": false, + "reason": "Tune A Video and Video Composer are different video-generation projects/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": 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-50-3013", + "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:3113", + "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:5770", + "issue:6095", + "issue:6096", + "issue:6161", + "issue:6288", + "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:6095|issue:6096", + "issue:5770|issue:6288", + "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" + ], + "prepared_review_unit_hash": "3199a43a3cd07c6b72572d73fe3c994d7a1095c643f01f695f57915984a1b909", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32876, + "estimated_input_tokens": 8219, + "estimated_eval_tokens": 16694 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the issues span unrelated import errors, pipeline feature requests, training bugs, model-support requests, and documentation/API mismatches. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster because the items are about different models, different failure modes, and different feature requests rather than one shared problem.", + "canonical_pr_reason": "There are no pull requests in the cluster, so no canonical PR applies.", + "best_issue_reason": "No issue is a good global representative because the topics are too heterogeneous to collapse into one duplicate family.", + "best_pr_reason": "No pull requests are present, so there is no global best PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:6095", + "right": "issue:6096", + "accept": false, + "reason": "Same pipeline family, but one is an IndexError in scheduling and the other is a torch.compile dynamic shape exception; different code paths and fixes." + }, + { + "left": "issue:5770", + "right": "issue:6288", + "accept": false, + "reason": "Both mention LCM, but one is blocked by dataset access and the other is about an overly small default learning rate; not the same bug." + }, + { + "left": "issue:3698", + "right": "issue:6161", + "accept": false, + "reason": "One is about converting an inpainting model to Diffusers; the other is about sigma handling in schedulers. Different issues." + }, + { + "left": "issue:11560", + "right": "issue:8975", + "accept": false, + "reason": "Both are import-related, but they concern different symbols and likely different breakages." + }, + { + "left": "issue:12369", + "right": "issue:13232", + "accept": false, + "reason": "Different model support requests for different architectures; not the same underlying change." + }, + { + "left": "issue:10893", + "right": "issue:13065", + "accept": false, + "reason": "Both are controlnet feature requests, but for different models and capabilities; too broad to merge as one fix." + }, + { + "left": "issue:10460", + "right": "issue:9026", + "accept": false, + "reason": "One missing documented argument in UNet2DModel; the other is an unexpected argument in load_checkpoint_and_dispatch. Unrelated APIs." + }, + { + "left": "issue:5023", + "right": "issue:9147", + "accept": false, + "reason": "One is a specific pipeline import error; the other is a Flux auto-pipeline error. Different failure modes." + }, + { + "left": "issue:9001", + "right": "issue:9112", + "accept": false, + "reason": "Both are Auraflow-related, but one is about aspect ratios and the other is a tensor shape mismatch during inference." + }, + { + "left": "issue:4241", + "right": "issue:5017", + "accept": false, + "reason": "A LoRA fine-tuning request and a control mode request are distinct feature areas." + }, + { + "left": "issue:5227", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but one is a LoRA weight-loading bug and the other is an SD3 compile unsupported exception." + }, + { + "left": "issue:10186", + "right": "issue:10204", + "accept": false, + "reason": "One is an import failure for FluxFillPipeline; the other is a quality degradation issue during iterative inpainting." + }, + { + "left": "issue:8488", + "right": "issue:8565", + "accept": false, + "reason": "Both are SD3-related, but one is a from_pretrained exception and the other is an IndexError in load_lora_weights." + }, + { + "left": "issue:8503", + "right": "issue:8511", + "accept": false, + "reason": "Different SD3 problems: gradient checkpointing crash versus training script not unloading text encoders." + }, + { + "left": "issue:3861", + "right": "issue:4250", + "accept": false, + "reason": "Both mention from_pretrained, but one is about syntax/API naming and the other about incorrect model loading behavior." + }, + { + "left": "issue:5318", + "right": "issue:5341", + "accept": false, + "reason": "Both are PEFT documentation/example requests, but they target different tutorial/script updates rather than one concrete fix." + }, + { + "left": "issue:1160", + "right": "issue:1976", + "accept": false, + "reason": "A hanging pytest test and a tokenizer/config file lookup error are unrelated." + }, + { + "left": "issue:10658", + "right": "issue:12624", + "accept": false, + "reason": "One requests provider_options for onnxruntime; the other requests a strength parameter for a video pipeline. Different features." + }, + { + "left": "issue:4524", + "right": "issue:5118", + "accept": false, + "reason": "AnimateDiff integration and ControlNet reference-only usage are separate feature requests." + }, + { + "left": "issue:4789", + "right": "issue:6393", + "accept": false, + "reason": "Both involve downloads, but one is DeepFloyd IF download failure and the other is private HF link failure via from_single_file; different root causes." + }, + { + "left": "issue:3902", + "right": "issue:4042", + "accept": false, + "reason": "Control-a-video and combining reference-only with inpainting/depth control are different requests." + }, + { + "left": "issue:10737", + "right": "issue:9141", + "accept": false, + "reason": "Both are FluxPipeline issues, but one lacks image_encoder in encode_image and the other lacks from_single_file; different missing functionality." + }, + { + "left": "issue:10049", + "right": "issue:12606", + "accept": false, + "reason": "Both are import-related, but one is about MochiPipeline import and the other is a wrong import in a conversion script." + }, + { + "left": "issue:3113", + "right": "issue:3902", + "accept": false, + "reason": "Different control-related research/features with no shared concrete bug or 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": 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-50-3013", + "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:2195", + "issue:2440", + "issue:272", + "issue:2737", + "issue:2822", + "issue:2830", + "issue:3140", + "issue:338", + "issue:3467", + "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:2195|issue:2830", + "issue:2822|issue:3140", + "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" + ], + "prepared_review_unit_hash": "1757c7506c0119bbed7a2d973e045a082e689e5364e86f624cc7f32b24ee284f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33651, + "estimated_input_tokens": 8413, + "estimated_eval_tokens": 17082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated Diffusers issues; only a few soft pairs look like true duplicates. No PRs are present, and there is no single umbrella issue for the whole set.", + "confidence": 0.78, + "canonical_issue_reason": "issue:2440 is the clearest duplicate target in the only strong issue family (float16 inpainting load errors), but the overall set is too heterogeneous to have one true canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2440 is the best standalone anchor for triage: specific, reproducible, and directly matches the strongest near-duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2195", + "right": "issue:2830", + "accept": false, + "reason": "Different tasks: video generation request vs a ModelScope video-use question." + }, + { + "left": "issue:2822", + "right": "issue:3140", + "accept": false, + "reason": "Training slowdown/error in ControlNet is unrelated to an import failure." + }, + { + "left": "issue:12060", + "right": "issue:13101", + "accept": false, + "reason": "A question about DiT block availability is unrelated to a malformed huggingface issue." + }, + { + "left": "issue:1925", + "right": "issue:2440", + "accept": true, + "reason": "Both report inpainting models failing in float16/half precision; same underlying loading/runtime bug." + }, + { + "left": "issue:1594", + "right": "issue:3728", + "accept": false, + "reason": "Img2Img video-generation discussion and a shifted-diffusion text-to-image pipeline request are different changes." + }, + { + "left": "issue:8503", + "right": "issue:8507", + "accept": false, + "reason": "Same SD3 area, but gradient-checkpointing crashes and train_text_encoder failures are different bugs." + }, + { + "left": "issue:10421", + "right": "issue:12754", + "accept": false, + "reason": "Multi-GPU memory leak and from_pipe dtype conversion are different problems and code paths." + }, + { + "left": "issue:10950", + "right": "issue:9680", + "accept": false, + "reason": "Broken docs for Accelerate inference and broken SDXL unconditional generation are unrelated." + }, + { + "left": "issue:10421", + "right": "issue:12599", + "accept": false, + "reason": "CUDA move slowness is not the same bug as a memory leak when moving pipelines across GPUs." + }, + { + "left": "issue:4305", + "right": "issue:5034", + "accept": false, + "reason": "torch.compile graph breaks and checkpoint-loading progress-bar glitches are unrelated." + }, + { + "left": "issue:9148", + "right": "issue:9825", + "accept": false, + "reason": "Flux inpainting pipeline support and FLUX IP-Adapter support are separate feature requests." + }, + { + "left": "issue:3467", + "right": "issue:4733", + "accept": false, + "reason": "Resume-step bug in ControlNet training is different from the DreamBooth LoRA optimizer-state error." + }, + { + "left": "issue:5314", + "right": "issue:9264", + "accept": false, + "reason": "ControlNet reference inpainting and Flux inpainting are distinct pipeline requests." + }, + { + "left": "issue:2830", + "right": "issue:3838", + "accept": false, + "reason": "A generic video-generation question and a Video Composer request are not the same concrete issue." + }, + { + "left": "issue:11749", + "right": "issue:9331", + "accept": true, + "reason": "Both describe the same FlowMatchEulerDiscreteScheduler timestep/indexing precision bug." + }, + { + "left": "issue:4972", + "right": "issue:5009", + "accept": true, + "reason": "Both are wuerstchen runtime/example failures and appear to be the same underlying issue." + }, + { + "left": "issue:11560", + "right": "issue:9062", + "accept": false, + "reason": "A vague import error is too broad to treat as the same issue as StableAudioPipeline import failure." + }, + { + "left": "issue:272", + "right": "issue:338", + "accept": false, + "reason": "K-LMS inpainting support and LMS-discrete test coverage are different tasks." + }, + { + "left": "issue:10460", + "right": "issue:6901", + "accept": false, + "reason": "Missing mid_block_type on UNet2DModel is unrelated to missing clip_sample on FlaxDDIMScheduler." + }, + { + "left": "issue:1594", + "right": "issue:3902", + "accept": false, + "reason": "Img2Img for video generation and control-a-video are different feature requests." + }, + { + "left": "issue:2737", + "right": "issue:6866", + "accept": false, + "reason": "CLIP guidance support and IP-Adapter support are separate feature changes." + }, + { + "left": "issue:4913", + "right": "issue:5168", + "accept": false, + "reason": "ControlNet-openpose SDXL and ControlNet-XS support are related only broadly, not the same concrete change." + }, + { + "left": "issue:10467", + "right": "issue:10526", + "accept": false, + "reason": "An FP8 example-code artifact issue and a WeightQBytesTensor constructor TypeError are different bugs." + }, + { + "left": "issue:4750", + "right": "issue:6572", + "accept": false, + "reason": "Inpaint + LaMa preprocessor and ControlNetXS-SDXL-Inpaint-Pipeline are different feature requests." + }, + { + "left": "issue:10817", + "right": "issue:8503", + "accept": false, + "reason": "SD3 ControlNet support and SD3 gradient-checkpointing crashes are unrelated." + }, + { + "left": "issue:5436", + "right": "issue:5794", + "accept": false, + "reason": "ControlNet XL training error and missing tokenizer/config.json are different problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: it correctly characterizes the set as mostly heterogeneous, notes there are no PRs, and only elevates a small number of duplicate-looking issue pairs. The accepted soft-edge verdicts are conservative and align with the issue titles, especially 1925\u21942440, 11749\u21949331, and 4972\u21945009. No clear evidence of overstatement beyond modest inference from 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": 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-50-3013", + "nodes": [ + "issue:10460", + "issue:10472", + "issue:10817", + "issue:10950", + "issue:11315", + "issue:11653", + "issue:12221", + "issue:12239", + "issue:13351", + "issue:2163", + "issue:2213", + "issue:2466", + "issue:2618", + "issue:2822", + "issue:2985", + "issue:321", + "issue:3431", + "issue:3451", + "issue:3566", + "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: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:3431|issue:3566", + "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" + ], + "prepared_review_unit_hash": "8a47365430f4e77200019c22e313de53f69138a2b123deb6dff7d8c6f8653ba4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "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": "The set is mostly unrelated issues grouped by loose thematic similarity. I only consider two soft pairs as true duplicates: the fp16 dtype mismatch reports and the StableDiffusionXLControlNetImg2Img LoRA-loading reports.", + "confidence": 0.84, + "canonical_issue_reason": "No single issue cleanly represents the whole heterogeneous set; if one canonical issue must be chosen, #4885 is the clearest concrete bug report and anchors the strongest duplicate pair (#5109) around the same pipeline/LoRA-loading failure.", + "canonical_pr_reason": null, + "best_issue_reason": "#4885 is the best issue candidate because it is specific, reproducible, and narrowly scoped to a concrete pipeline bug, making it a strong triage anchor for the matching report in #5109.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3431", + "right": "issue:3566", + "accept": false, + "reason": "Both are ControlNet-related, but they describe different problems and different pipelines; too broad to be the same bug." + }, + { + "left": "issue:5318", + "right": "issue:5320", + "accept": false, + "reason": "One is docs/tutorials, the other is a PEFT API change; related topic, but not the same change request." + }, + { + "left": "issue:4611", + "right": "issue:4779", + "accept": false, + "reason": "Both mention ModelScope/video models, but they target different features and are not clearly the same underlying request." + }, + { + "left": "issue:6681", + "right": "issue:7178", + "accept": false, + "reason": "Same function name, but the reports are too generic to confirm the same concrete export bug." + }, + { + "left": "issue:12221", + "right": "issue:13351", + "accept": false, + "reason": "Different model families and different ControlNet support requests; not the same bug or change." + }, + { + "left": "issue:2163", + "right": "issue:2466", + "accept": false, + "reason": "Training dtype mismatch vs checkpoint retention behavior; unrelated issues." + }, + { + "left": "issue:6688", + "right": "issue:9303", + "accept": false, + "reason": "Different feature additions in the video space; no shared code-path bug is evident." + }, + { + "left": "issue:5075", + "right": "issue:5258", + "accept": false, + "reason": "Both involve SDXL/refiner, but one is a prompt-embedding shape error and the other is an inpaint/refiner pipeline issue." + }, + { + "left": "issue:2213", + "right": "issue:3451", + "accept": false, + "reason": "TPU distributed setup hang vs fp16 memory regression; unrelated failures." + }, + { + "left": "issue:10817", + "right": "issue:8507", + "accept": false, + "reason": "Both are SD3-related, but one is missing auto pipeline support and the other is a DreamBooth training failure." + }, + { + "left": "issue:2985", + "right": "issue:5926", + "accept": false, + "reason": "Different Kandinsky versions and different feature scopes; not duplicates." + }, + { + "left": "issue:10950", + "right": "issue:9045", + "accept": false, + "reason": "Documentation breakage vs runtime device-conversion failure; not the same underlying issue." + }, + { + "left": "issue:5054", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL, but they concern different bugs in different methods." + }, + { + "left": "issue:4885", + "right": "issue:5109", + "accept": true, + "reason": "Same pipeline and same LoRA-loading path; one report says weights do not load, the other says the load call raises, which plausibly describes the same bug." + }, + { + "left": "issue:4063", + "right": "issue:5205", + "accept": false, + "reason": "Textual inversion unload vs inpainting/controlnet usage; different behaviors and code paths." + }, + { + "left": "issue:4888", + "right": "issue:5339", + "accept": false, + "reason": "Both concern local/offline safetensor loading, but the failure modes are too broad and not clearly the same bug." + }, + { + "left": "issue:775", + "right": "issue:993", + "accept": true, + "reason": "Both describe the same fp16/dtype mismatch class of Stable Diffusion failure, with nearly identical symptom framing." + }, + { + "left": "issue:321", + "right": "issue:938", + "accept": false, + "reason": "Completely different model domains: diffusion images vs text-to-motion." + }, + { + "left": "issue:11315", + "right": "issue:11653", + "accept": false, + "reason": "HiDream RoPE/MPS numeric issue vs LoRA key compatibility; different underlying problems." + }, + { + "left": "issue:12221", + "right": "issue:9825", + "accept": false, + "reason": "Both are feature requests around adapters/controlnets, but they target different model families and capabilities." + }, + { + "left": "issue:10460", + "right": "issue:10472", + "accept": false, + "reason": "A missing model init argument vs an unexpected LoRA keyword argument; unrelated bugs." + }, + { + "left": "issue:12239", + "right": "issue:9825", + "accept": false, + "reason": "InfiniteTalk support vs FLUX IPAdapter support; different features." + }, + { + "left": "issue:4376", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL issues, but one is textual inversion loading and the other is a default-dimension bug." + }, + { + "left": "issue:2618", + "right": "issue:2822", + "accept": false, + "reason": "Input type handling for ControlNet vs training convergence performance; not the same issue." + }, + { + "left": "issue:3958", + "right": "issue:5395", + "accept": false, + "reason": "Both mention LoRA/Civitai/PEFT, but one is cpu-offload interaction and the other is combining LoRAs; different problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative: it avoids collapsing the heterogeneous set into one theme, and the two accepted soft pairs are reasonably supported by closely matching titles/symptoms. No soft-edge verdict looks overstated relative to 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": 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-50-3013", + "nodes": [ + "issue:10658", + "issue:1083", + "issue:10873", + "issue:1117", + "issue:11561", + "issue:12338", + "issue:1255", + "issue:1261", + "issue:13477", + "issue:1363", + "issue:1375", + "issue:1407", + "issue:1463", + "issue:1594", + "issue:1755", + "issue:1919", + "issue:1961", + "issue:2377", + "issue:2444", + "issue:2775", + "issue:2904", + "issue:3565", + "issue:3788", + "issue:460", + "issue:4789", + "issue:4912", + "issue:5008", + "issue:5317", + "issue:5318", + "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:1261|issue:2444", + "issue:5317|issue:5318", + "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" + ], + "prepared_review_unit_hash": "71afc8ffa10a11591e795aaa98ab6d70558a2dbb0dc22e60cf9e046313620518", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33821, + "estimated_input_tokens": 8456, + "estimated_eval_tokens": 17168 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most candidate pairs are only superficially similar and do not describe the same bug or change. The only likely duplicate is the missing-`datasets` dependency report pair (1463/1919).", + "confidence": 0.72, + "canonical_issue_reason": "Issue 1919 is the better canonical for the `datasets` dependency problem because it identifies the root cause in `requirements.txt`, while 1463 mainly reports the resulting import error.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1919 is the clearest actionable issue in this set: it states the missing dependency/fix path directly and serves well as the duplicate target for the related import-error report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1261", + "right": "issue:2444", + "accept": false, + "reason": "Different failures: xformers backward kernel assert vs a DreamBooth script exit-status error." + }, + { + "left": "issue:5317", + "right": "issue:5318", + "accept": false, + "reason": "Same broad PEFT area, but one is API docs and the other is tutorials; not the same bug/change." + }, + { + "left": "issue:1755", + "right": "issue:5008", + "accept": false, + "reason": "Unrelated topics; no shared underlying bug or implementation." + }, + { + "left": "issue:12338", + "right": "issue:13477", + "accept": false, + "reason": "VAE slicing/decoding bug vs a callback `locals()` scope bug; different code paths." + }, + { + "left": "issue:7390", + "right": "issue:8359", + "accept": false, + "reason": "Both mention `from_single_file`, but they target different pipeline/custom-checkpoint scenarios and failures." + }, + { + "left": "issue:11561", + "right": "issue:9825", + "accept": false, + "reason": "Both involve IP-Adapter/FLUX support, but one is FluxFill-specific and the other is a broader FLUX-pipeline feature request." + }, + { + "left": "issue:1594", + "right": "issue:3788", + "accept": false, + "reason": "One asks for img2img video generation; the other requests a new pipeline implementation." + }, + { + "left": "issue:1255", + "right": "issue:1375", + "accept": false, + "reason": "Both are import-related, but one is a missing scheduler export and the other is a broader import regression from a PR." + }, + { + "left": "issue:1363", + "right": "issue:1407", + "accept": false, + "reason": "Different ONNX problems: long-prompt/LMS scheduler error vs missing `feature_extractor` in an SD2.0 ONNX pipeline." + }, + { + "left": "issue:4789", + "right": "issue:7793", + "accept": false, + "reason": "Download failure for DeepFloyd IF vs LoRA unload error; unrelated underlying bugs." + }, + { + "left": "issue:2904", + "right": "issue:5835", + "accept": false, + "reason": "AudioLDM scheduler attribute error vs general MusicLDM pipeline usage; not the same concrete issue." + }, + { + "left": "issue:1463", + "right": "issue:1919", + "accept": true, + "reason": "Both point to the same missing `datasets` dependency; 1919 names the root cause in `requirements.txt` and 1463 reports the import symptom." + }, + { + "left": "issue:10658", + "right": "issue:9610", + "accept": false, + "reason": "ONNXRuntime provider options vs adding LoRA loading to a Stable Diffusion 3 img2img pipeline; different changes." + }, + { + "left": "issue:1083", + "right": "issue:460", + "accept": false, + "reason": "Both are ONNX-related, but one is FP16 output correctness and the other is runtime/provider installation requirements." + }, + { + "left": "issue:10873", + "right": "issue:9450", + "accept": false, + "reason": "Different pipeline bugs: SanaPipeline issue vs FluxPipeline multi-GPU device placement error." + }, + { + "left": "issue:1117", + "right": "issue:2377", + "accept": false, + "reason": "Test-request for multiple negative prompts vs tests for EMAModel; unrelated scope." + }, + { + "left": "issue:5008", + "right": "issue:5480", + "accept": false, + "reason": "One is a specific TryOnDiffusion implementation issue; the other is a request for EDM support." + }, + { + "left": "issue:5480", + "right": "issue:7380", + "accept": false, + "reason": "Both are model/pipeline feature requests, but they are for different diffusion methods and not the same change." + }, + { + "left": "issue:6234", + "right": "issue:8803", + "accept": false, + "reason": "Different problems: SDXL text-to-image example issue vs a duplicate assignment in attention processor code." + }, + { + "left": "issue:6243", + "right": "issue:7243", + "accept": false, + "reason": "IP-Adapter Face ID support request vs ResAdapter implementation request; different features." + }, + { + "left": "issue:7191", + "right": "issue:7490", + "accept": false, + "reason": "Generic import problem vs a backward-pass problem; too little overlap to be the same bug." + }, + { + "left": "issue:3565", + "right": "issue:7012", + "accept": false, + "reason": "CUDA OOM during text-to-image training vs weird images with `v_prediction`; different failure modes." + }, + { + "left": "issue:1961", + "right": "issue:579", + "accept": false, + "reason": "Different missing-package/import issues and different affected workflows; not the same report." + }, + { + "left": "issue:2775", + "right": "issue:989", + "accept": false, + "reason": "`torch._dynamo.optimize` non-function error is unrelated to the `weight` must be 2-D runtime error." + }, + { + "left": "issue:4912", + "right": "issue:6161", + "accept": false, + "reason": "Custom SDXL checkpoint conversion request vs sigma-discard behavior; unrelated changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only positive duplicate call, 1463/1919, is well supported by the titles and issue descriptions (missing `datasets` package vs missing dependency in `requirements.txt`). The other pair verdicts are appropriately cautious given the limited evidence in the packet. " + }, + "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-50-3013", + "nodes": [ + "issue:10100", + "issue:10883", + "issue:10891", + "issue:10897", + "issue:11117", + "issue:11519", + "issue:1156", + "issue:12239", + "issue:12412", + "issue:1594", + "issue:2195", + "issue:222", + "issue:2673", + "issue:2676", + "issue:2722", + "issue:2799", + "issue:3178", + "issue:3221", + "issue:3537", + "issue:3623", + "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:6016", + "issue:6136", + "issue:7146", + "issue:7322", + "issue:7350", + "issue:7417", + "issue:8488", + "issue:8604", + "issue:8837", + "issue:8994", + "issue:9101", + "issue:9248", + "issue:9680", + "issue:9732", + "issue:9825" + ], + "soft_pairs": [ + "issue:2722|issue:3623", + "issue:12412|issue:9825", + "issue:10897|issue:9825", + "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" + ], + "prepared_review_unit_hash": "2d489d75bf7a2c841a4cb79fb786fce21dfb645a6eef81ee9bab2511cb2e6557", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33610, + "estimated_input_tokens": 8403, + "estimated_eval_tokens": 17062 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a collection of unrelated support requests and bug reports. The only close pair is the bf16/half type-mismatch reports, but the available evidence is still only soft similarity rather than a confirmed duplicate/root-cause match.", + "confidence": 0.64, + "canonical_issue_reason": "Issue 10891 is the broadest bfloat16-conversion bug report in the set, so it is the best tentative canonical issue, but the packet does not prove that 11117 is the same root cause.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10891 is the strongest issue candidate for grouping the bf16/half mismatch symptom, though only as a tentative umbrella for a related report rather than a confirmed duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2722", + "right": "issue:3623", + "accept": false, + "reason": "Both are model-loading/conversion complaints, but they describe different failures and no shared concrete bug is evident." + }, + { + "left": "issue:12412", + "right": "issue:9825", + "accept": false, + "reason": "Separate feature requests for different model/pipeline support; same broad area, not the same change." + }, + { + "left": "issue:10897", + "right": "issue:9825", + "accept": false, + "reason": "Different requested model support items with no shared code-path or bug." + }, + { + "left": "issue:4837", + "right": "issue:6016", + "accept": false, + "reason": "Same conversion script, but the reported failures differ and do not clearly point to one underlying defect." + }, + { + "left": "issue:10883", + "right": "issue:11519", + "accept": false, + "reason": "Different model support/update requests; no common bug or merged change." + }, + { + "left": "issue:1594", + "right": "issue:2195", + "accept": false, + "reason": "Both concern video generation, but one is img2img video support and the other is Tune-A-Video; not the same artifact." + }, + { + "left": "issue:7146", + "right": "issue:9732", + "accept": false, + "reason": "Both mention OOM during training, but they are different training scripts/models and likely different memory issues." + }, + { + "left": "issue:2676", + "right": "issue:4524", + "accept": false, + "reason": "A scheduler compatibility question vs. an AnimateDiff integration request; unrelated changes." + }, + { + "left": "issue:8994", + "right": "issue:9680", + "accept": false, + "reason": "Both describe generation problems, but the symptoms and likely code paths are too different to merge as one bug." + }, + { + "left": "issue:10891", + "right": "issue:11117", + "accept": false, + "reason": "The titles suggest a related bf16/half mismatch, but the packet does not provide body evidence tying them to one confirmed duplicate or shared root cause; treat this as soft similarity only." + }, + { + "left": "issue:4702", + "right": "issue:9101", + "accept": false, + "reason": "Both ask for training scripts, but they target different models and training setups." + }, + { + "left": "issue:6136", + "right": "issue:7417", + "accept": false, + "reason": "Both involve NaN-related behavior, but one is Mac CPU inference and the other is a LoRA fuse test; not the same bug." + }, + { + "left": "issue:5757", + "right": "issue:7322", + "accept": false, + "reason": "Both are training errors, but they concern different scripts, versions, and failure modes." + }, + { + "left": "issue:11117", + "right": "issue:8488", + "accept": false, + "reason": "These are different StableDiffusion3Pipeline failures; one is a bf16 mismatch, the other is a from_pretrained exception." + }, + { + "left": "issue:8604", + "right": "issue:8837", + "accept": false, + "reason": "Different bugs in different components: corrupted output from T5 fp16 conversion vs. a sliced attention processor issue." + }, + { + "left": "issue:1156", + "right": "issue:222", + "accept": false, + "reason": "Generic training failures with insufficient evidence of a shared underlying defect." + }, + { + "left": "issue:3537", + "right": "issue:541", + "accept": false, + "reason": "A ControlNet conversion script request and a SageMaker support issue are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:7350", + "accept": false, + "reason": "Different ControlNet/LoRA loading problems with distinct failure contexts." + }, + { + "left": "issue:3178", + "right": "issue:5998", + "accept": false, + "reason": "Same pipeline name, but one is a generic bug report and the other is a specific TyperError; not enough to treat as one change." + }, + { + "left": "issue:4250", + "right": "issue:5034", + "accept": false, + "reason": "Different symptoms: incorrect from_pretrained loading vs. a progress-bar display issue." + }, + { + "left": "issue:3728", + "right": "issue:3817", + "accept": false, + "reason": "Both are new pipeline requests, but they concern different projects and capabilities." + }, + { + "left": "issue:4969", + "right": "issue:9248", + "accept": false, + "reason": "An import error report and a pip install command request are not the same bug." + }, + { + "left": "issue:10100", + "right": "issue:12239", + "accept": false, + "reason": "Separate support requests for different models; only superficial similarity." + }, + { + "left": "issue:2673", + "right": "issue:2799", + "accept": false, + "reason": "One is an upscale pipeline usage error; the other is a request to raise a clearer mismatch error, not the same underlying bug." + }, + { + "left": "issue:4232", + "right": "issue:5168", + "accept": false, + "reason": "Both involve ControlNet-related work, but one is instruct-pix2pix training/inference and the other is ControlNet-XS support." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative on the unrelated pairs, but it overreaches on issue:10891 vs issue:11117. The packet does not provide body evidence linking them, and the soft-pair metadata marks that pair as deterministic_accept=false. Based on the available information, this should be treated as at most a plausible soft similarity, not a confirmed duplicate/root-cause match." + }, + "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": 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-50-3013", + "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:1633", + "issue:2737", + "issue:3043", + "issue:3171", + "issue:3325", + "issue:3725", + "issue:4063", + "issue:4213", + "issue:4232", + "issue:4302", + "issue:4390", + "issue:4450", + "issue:4480", + "issue:4496", + "issue:457", + "issue:4598", + "issue:4849", + "issue:4912", + "issue:4978", + "issue:541", + "issue:6008", + "issue:7569", + "issue:760", + "issue:761", + "issue:7646", + "issue:8435", + "issue:9063", + "issue:911", + "issue:9161", + "issue:9223", + "issue:9450", + "issue:9861", + "issue:9936" + ], + "soft_pairs": [ + "issue:6008|issue:9223", + "issue:1633|issue:2737", + "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" + ], + "prepared_review_unit_hash": "31b130d70af874938b81ba1a3deedb1e5309014c667679f62aa568353af0ec65", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33086, + "estimated_input_tokens": 8272, + "estimated_eval_tokens": 16800 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is only loosely related by diffusion pipelines and transformer/loader issues, but the paired items are not the same underlying bug or change. Most are different pipelines, different hardware backends, or distinct feature requests, so none of the soft edges should be merged.", + "confidence": 0.31, + "canonical_issue_reason": "Issue #12754 is the clearest self-contained API bug in the set and is broadly representative of the pipeline-loading/casting theme, but the cluster overall is heterogeneous rather than a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #12754 is the strongest representative issue because it describes a specific, actionable regression in core pipeline behavior with clear expected-vs-actual semantics.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6008", + "right": "issue:9223", + "accept": false, + "reason": "Different problems: IP-Adapter/LCM face integration failure vs dependency/version conflict around pyarrow; unrelated symptoms and code paths." + }, + { + "left": "issue:1633", + "right": "issue:2737", + "accept": false, + "reason": "Both mention scheduler/features, but one is karras sigmas in a wrapper pipeline and the other is CLIP guidance support; different changes and APIs." + }, + { + "left": "issue:761", + "right": "issue:911", + "accept": false, + "reason": "Both are DreamBooth-related, but one is an 8-bit Adam training failure and the other is a bad config regression; not the same bug." + }, + { + "left": "issue:11374", + "right": "issue:12695", + "accept": false, + "reason": "SkyReels-V2 support and Hunyuan v1.5 support are separate model-integration feature requests, not the same change." + }, + { + "left": "issue:3171", + "right": "issue:4496", + "accept": false, + "reason": "LPW prompt support for ControlNet and prompt fusion are different prompt-handling features with no shared concrete bug." + }, + { + "left": "issue:4450", + "right": "issue:4849", + "accept": false, + "reason": "Multi textual inversion example failure and multi-GPU textual inversion training are unrelated issues despite both involving textual inversion." + }, + { + "left": "issue:4232", + "right": "issue:4978", + "accept": false, + "reason": "Instruct-pix2pix with ControlNet vs inpaint_global_harmonious preprocessor usage are different pipeline/preprocessor topics." + }, + { + "left": "issue:12599", + "right": "issue:13279", + "accept": false, + "reason": "Extremely slow CUDA move after loading vs AutoencoderRAE loading error with older transformers are different loading/runtime problems." + }, + { + "left": "issue:4912", + "right": "issue:541", + "accept": false, + "reason": "Custom SDXL checkpoint conversion and SageMaker support are separate workflow/environment requests, not the same bug or change." + }, + { + "left": "issue:10795", + "right": "issue:12728", + "accept": false, + "reason": "torch.compile on GGUF-loaded transformer models and Wan 2.2 compile/channels_last failures are distinct compiler/model-path issues." + }, + { + "left": "issue:10737", + "right": "issue:9063", + "accept": false, + "reason": "Missing image_encoder in FluxPipeline encode_image and tokenizer instantiation failure in FluxPipeline are different failures in different components." + }, + { + "left": "issue:10150", + "right": "issue:12754", + "accept": false, + "reason": "SDXL slow loading/inference is a performance complaint, while from_pipe float32 conversion is a dtype regression; not the same bug." + }, + { + "left": "issue:1305", + "right": "issue:4063", + "accept": false, + "reason": "Direct Inversion and unloading a textual inversion checkpoint are different features in the inversion/textual-inversion area, not duplicates." + }, + { + "left": "issue:1263", + "right": "issue:1375", + "accept": false, + "reason": "Importing StableDiffusionSafetyChecker and a PR breaking diffusers import are different import failures with different root causes." + }, + { + "left": "issue:3725", + "right": "issue:4302", + "accept": false, + "reason": "A1111 LoRA support failure and SDXL LoRA loading compatibility are both LoRA-related, but they are distinct compatibility problems." + }, + { + "left": "issue:1188", + "right": "issue:3043", + "accept": false, + "reason": "CLIPSeg x Stable Diffusion pipeline request and ODISE pipeline request are separate model integrations, not one change." + }, + { + "left": "issue:4480", + "right": "issue:7569", + "accept": false, + "reason": "Both are Mac/MPS-related, but one is a kernel crash during generation and the other is a failing test for FreeU; different concrete bugs." + }, + { + "left": "issue:4213", + "right": "issue:8435", + "accept": false, + "reason": "Both concern from_single_file, but one is specifically SD-XL without accelerate and the other is a generic runtime error; too broad to treat as the same bug." + }, + { + "left": "issue:3325", + "right": "issue:7646", + "accept": false, + "reason": "CUDA invalid-argument during DreamBooth training and dataloader_num_workers questions in a LoRA script are not the same underlying issue." + }, + { + "left": "issue:457", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS-related, but one reports blue artifacts and the other unexpected StableDiffusionPipeline output; different symptoms and likely causes." + }, + { + "left": "issue:11642", + "right": "issue:9861", + "accept": false, + "reason": "prompt_embeds_scale having no effect in FluxPriorReduxPipeline and Flux training not updating the transformer are unrelated Flux issues." + }, + { + "left": "issue:9161", + "right": "issue:9936", + "accept": false, + "reason": "Distributed bugs in train_dreambooth_lora_flux.py and NCCL timeout in train_controlnet_flux.py are different multi-GPU training failures." + }, + { + "left": "issue:10737", + "right": "issue:9450", + "accept": false, + "reason": "Both are FluxPipeline issues, but one is a missing image encoder and the other is a multi-GPU device placement error; different code paths." + }, + { + "left": "issue:4390", + "right": "issue:4598", + "accept": false, + "reason": "Missing requirements and uninformative missing-dependency errors are both dependency-related, but one is a packaging issue and the other is an error-message improvement." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "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:3630", + "issue:4186", + "issue:4232", + "issue:4445", + "issue:4747", + "issue:4949", + "issue:5002", + "issue:5118", + "issue:5258", + "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", + "issue:9539", + "issue:9895" + ], + "soft_pairs": [ + "issue:9539|issue:9895", + "issue:3630|issue:4747", + "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" + ], + "prepared_review_unit_hash": "59c655620b7cd9d9ad83b8e06f1166dedf336e7c57adc9b32860eb5e7bacce79", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34309, + "estimated_input_tokens": 8578, + "estimated_eval_tokens": 17412 + }, + "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 many unrelated issues across different pipelines, schedulers, training scripts, loading paths, and model families; the proposed soft edges mostly share only generic error wording or a broad subsystem name.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue fits this cluster: the items are too heterogeneous to represent one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for the whole cluster; at most, a few offloading-related items form a loose subtheme, but they are still not the same concrete failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9539", + "right": "issue:9895", + "accept": false, + "reason": "Both mention device-mismatch failures, but they are different pipelines and contexts (CogVideoX image-to-video float8 issue vs FluxPipeline offloading regression)." + }, + { + "left": "issue:3630", + "right": "issue:4747", + "accept": false, + "reason": "Both are loading/runtime errors, but one is an unknown UNet2DModel error and the other is a missing model_index.json when loading fine-tuned SDXL LoRA." + }, + { + "left": "issue:10952", + "right": "issue:9142", + "accept": false, + "reason": "These are different adapter/loading bugs: missing LoRA adapter name in SDXLLongPromptWeightingPipeline vs multi-controlnet type error in Hunyuan DiT." + }, + { + "left": "issue:11050", + "right": "issue:11182", + "accept": false, + "reason": "One is a bf16/fp16 dtype-casting bug in a training script; the other is an unnecessary BF16 variant download during model loading." + }, + { + "left": "issue:1082", + "right": "issue:1608", + "accept": false, + "reason": "Both are training failures, but the concrete problems differ: cublasLtMatmul execution failure vs training stopping at 500 steps on T4." + }, + { + "left": "issue:2722", + "right": "issue:743", + "accept": false, + "reason": "Both involve conversion, but they are not the same bug: ControlNet UNet mismatch after conversion vs general ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:4186", + "right": "issue:5258", + "accept": false, + "reason": "Both mention SDXL inpaint/refiner, but one is inpainting not working with refiner and the other is a ControlNet inpaint/refiner combination." + }, + { + "left": "issue:4232", + "right": "issue:5118", + "accept": false, + "reason": "These are different ControlNet-related questions/features (instruct-pix2pix with controlnet condition vs reference_only usage)." + }, + { + "left": "issue:2195", + "right": "issue:4949", + "accept": false, + "reason": "Unrelated video-model topics: Tune-A-Video vs ProPainter in/outpainting for video." + }, + { + "left": "issue:2439", + "right": "issue:3103", + "accept": false, + "reason": "Both are inpainting-related, but one is loading/running the inpainting pipeline and the other is a height/width parameter issue." + }, + { + "left": "issue:8507", + "right": "issue:8511", + "accept": false, + "reason": "Both touch SD3 training scripts, but the failures differ: text encoder training fails vs text encoders not being unloaded." + }, + { + "left": "issue:9025", + "right": "issue:9039", + "accept": false, + "reason": "Different Flax pipeline operations: from_single_file on Kaggle TPU VM vs load_lora_weights." + }, + { + "left": "issue:2579", + "right": "issue:3348", + "accept": false, + "reason": "Both reference xFormers, but one is a possible xFormers bug/misuse and the other is a feature request for LoRA scale support with xFormers." + }, + { + "left": "issue:3171", + "right": "issue:6141", + "accept": false, + "reason": "These are separate ControlNet feature requests: LPW prompt support vs control_mode/resize_mode parameters." + }, + { + "left": "issue:4445", + "right": "issue:8780", + "accept": false, + "reason": "A how-to question about LoRA finetuning is not the same as a dtype mismatch bug between model and input data." + }, + { + "left": "issue:11133", + "right": "issue:13034", + "accept": false, + "reason": "Different pipelines and failures: CogVideoX image-to-video bug vs WanPipeline height/width behavior." + }, + { + "left": "issue:1076", + "right": "issue:322", + "accept": false, + "reason": "Completely unrelated: Stable Diffusion v1-5 discussion vs V-Diffusion model topic." + }, + { + "left": "issue:12052", + "right": "issue:13488", + "accept": false, + "reason": "Both involve offloading, but the reports are not the same concrete bug: Wan 2.2 LightX2V device-mismatch failure vs a broader diffusers-0.38.0.dev0 offloading regression." + }, + { + "left": "issue:3094", + "right": "issue:7646", + "accept": false, + "reason": "Different training concerns: OOM during finetuning vs dataloader_num_workers behavior in a LoRA training script." + }, + { + "left": "issue:5002", + "right": "issue:6901", + "accept": false, + "reason": "Both are scheduler API gaps, but they affect different methods and classes: use_karras_sigmas vs clip_sample." + }, + { + "left": "issue:1367", + "right": "issue:2843", + "accept": false, + "reason": "Saving scheduler config with custom trained_betas is unrelated to multi-GPU checkpoint saving." + }, + { + "left": "issue:200", + "right": "issue:3406", + "accept": false, + "reason": "A resnet test request is unrelated to an attention-class bug with only_cross_attention=True." + }, + { + "left": "issue:322", + "right": "issue:938", + "accept": false, + "reason": "Different model-family topics with no shared concrete bug or fix." + }, + { + "left": "issue:8939", + "right": "issue:9063", + "accept": false, + "reason": "Both are tokenizer/loading errors, but they involve different models and failure modes, so they are not the same issue." + }, + { + "left": "issue:3451", + "right": "issue:7646", + "accept": false, + "reason": "Both are training-script questions, but fp16 memory usage and dataloader_num_workers are unrelated 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": 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-50-3013", + "nodes": [ + "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:11396", + "issue:11700", + "issue:12009", + "issue:12037", + "issue:12666", + "issue:1405", + "issue:1478", + "issue:1552", + "issue:2392", + "issue:2830", + "issue:3624", + "issue:3728", + "issue:3884", + "issue:3944", + "issue:4269", + "issue:4686", + "issue:4839", + "issue:5128", + "issue:5205", + "issue:5573", + "issue:5605", + "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:9166" + ], + "soft_pairs": [ + "issue:3624|issue:4269", + "issue:3944|issue:5605", + "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:2830|issue:5205", + "issue:11117|issue:8565", + "issue:10336|issue:10873", + "issue:5573|issue:5997", + "issue:3884|issue:4839" + ], + "prepared_review_unit_hash": "e2f02a6ef58f75fab5ea4be8bda3f514975d3841a8f9151cac6f8e12f33ce581", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34063, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false-positive similarity set: the items span unrelated models, pipelines, training scripts, and API bugs. I only accept the pairs that look like the same fp16/attention-slicing code-path issue.", + "confidence": 0.88, + "canonical_issue_reason": "No single issue is a safe canonical for the whole set: the items span many unrelated bugs, features, and model families.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue cleanly represents the whole cluster for deduping; any single choice would collapse unrelated topics.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3624", + "right": "issue:4269", + "accept": false, + "reason": "Both mention TypeError, but they concern different pipeline paths and different failure causes." + }, + { + "left": "issue:3944", + "right": "issue:5605", + "accept": false, + "reason": "Same DreamBooth area, but one is about LoRA rank customization and the other about per-image captions; different changes." + }, + { + "left": "issue:10883", + "right": "issue:7243", + "accept": false, + "reason": "Both are model/pipeline issues, but they refer to different models and different problem types." + }, + { + "left": "issue:10658", + "right": "issue:11700", + "accept": false, + "reason": "Both touch loading/integration, but one is about onnxruntime session options and the other about Pruna pipeline loading; not the same bug." + }, + { + "left": "issue:10144", + "right": "issue:12666", + "accept": false, + "reason": "Both are video-related, but they involve different models and unrelated failure modes." + }, + { + "left": "issue:8500", + "right": "issue:8588", + "accept": false, + "reason": "Both are SD3-related, but one is a token-limit question and the other is a missing conversion script." + }, + { + "left": "issue:1082", + "right": "issue:713", + "accept": false, + "reason": "Training errors are too generic here; the reported failures and contexts are not the same." + }, + { + "left": "issue:10460", + "right": "issue:10848", + "accept": false, + "reason": "Both are API mismatch problems, but they concern different functions and different call sites." + }, + { + "left": "issue:1478", + "right": "issue:4686", + "accept": false, + "reason": "Same pipeline class, but one is about multi-image output and the other about loading a saved pipeline; different bugs." + }, + { + "left": "issue:10653", + "right": "issue:10710", + "accept": false, + "reason": "Completely different subjects: quantized model movement vs DDUF support." + }, + { + "left": "issue:3728", + "right": "issue:7333", + "accept": false, + "reason": "Both are diffusion research/pipeline topics, but they are different requested methods and not the same change." + }, + { + "left": "issue:1405", + "right": "issue:1552", + "accept": true, + "reason": "These both point to the same attention-slicing bug: `enable_attention_slicing()` failing in practice, with SD2 as a concrete manifestation." + }, + { + "left": "issue:660", + "right": "issue:775", + "accept": true, + "reason": "Both describe the same fp16-on-MPS failure class; one is a specific M1 report, the other a broader fp16/autocast complaint." + }, + { + "left": "issue:1099", + "right": "issue:2392", + "accept": false, + "reason": "Different DreamBooth/pipeline errors with no shared failing code path." + }, + { + "left": "issue:8759", + "right": "issue:9166", + "accept": false, + "reason": "Both involve image processing, but one is an SD3 cast warning and the other is overlay behavior; not the same bug." + }, + { + "left": "issue:10608", + "right": "issue:11396", + "accept": false, + "reason": "Unrelated: multi-GPU HunyuanVideo pipeline execution vs LoRA format conversion question." + }, + { + "left": "issue:6503", + "right": "issue:6891", + "accept": false, + "reason": "Both are training-script tracker items, but they target different utility updates and code changes." + }, + { + "left": "issue:5128", + "right": "issue:6357", + "accept": false, + "reason": "Different problems: loading a local safetensors file vs API/local result discrepancies." + }, + { + "left": "issue:12009", + "right": "issue:12037", + "accept": false, + "reason": "Same Wan 2.2 family, but one is a GGUF loading/meta-tensor issue and the other is LoRA compatibility; not mergeable as one fix." + }, + { + "left": "issue:2830", + "right": "issue:5205", + "accept": false, + "reason": "Different use cases and pipelines; no shared underlying bug." + }, + { + "left": "issue:11117", + "right": "issue:8565", + "accept": false, + "reason": "Both are SD3 pipeline issues, but one is a dtype mismatch runtime error and the other is a LoRA loading IndexError." + }, + { + "left": "issue:10336", + "right": "issue:10873", + "accept": false, + "reason": "Both are Sana-related, but the reported failures are different and do not clearly share one code path." + }, + { + "left": "issue:5573", + "right": "issue:5997", + "accept": false, + "reason": "ControlNet-related, but one is weight initialization timing and the other is an SDXL tutorial/model-type error." + }, + { + "left": "issue:3884", + "right": "issue:4839", + "accept": false, + "reason": "Both mention LoRA, but one is a training-script error and the other is a `lora_scale` type issue; different fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative: it treats the cluster as mostly unrelated and only accepts the two genuinely plausible same-bug pairs (attention slicing; fp16/MPS). The reject reasons are cautious and aligned with the titles, without overclaiming 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": 190, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10045", + "issue:10111", + "issue:10382", + "issue:10392", + "issue:10512", + "issue:10772", + "issue:10950", + "issue:10952", + "issue:11229", + "issue:11675", + "issue:11790", + "issue:1195", + "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:8876", + "issue:9096", + "issue:9343", + "issue:9415", + "issue:9461", + "issue:9496", + "issue:9648", + "issue:993" + ], + "soft_pairs": [ + "issue:10111|issue:8876", + "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" + ], + "prepared_review_unit_hash": "570589de6fe35337daac7e5bffdba4eadd8dedbe56adcb254cba19aaaabd0c8c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33696, + "estimated_input_tokens": 8424, + "estimated_eval_tokens": 17104 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed links are mostly generic keyword matches, not true duplicates. The items span many unrelated bugs, feature requests, and docs issues, so no single canonical duplicate stands out.", + "confidence": 0.96, + "canonical_issue_reason": "No clear canonical issue; the set is heterogeneous and the soft-edge candidates do not share the same underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue representative: none of the issues cleanly captures a single duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10111", + "right": "issue:8876", + "accept": false, + "reason": "Both mention FLUX, but one is a general FLUX pipeline bug report and the other is Pixart Sigma microconditioning; different models and failure modes." + }, + { + "left": "issue:1195", + "right": "issue:993", + "accept": false, + "reason": "Both involve fp16/attention, but one is about memory efficient attention with fp16 weights and the other is a datatype mismatch in Stable Diffusion fp16; not the same bug." + }, + { + "left": "issue:4356", + "right": "issue:7000", + "accept": false, + "reason": "Import error for a missing dummy module vs a deprecation warning in outputs.py; unrelated problems." + }, + { + "left": "issue:6790", + "right": "issue:7782", + "accept": false, + "reason": "State_dict key mismatch during training vs safetensors unpickling error during conversion; different code paths and root causes." + }, + { + "left": "issue:4210", + "right": "issue:4692", + "accept": false, + "reason": "Question about attention_mask usage in UNet vs a memory issue in UNet2DConditionModel; not the same underlying defect." + }, + { + "left": "issue:10952", + "right": "issue:8826", + "accept": false, + "reason": "LoRA adapter-name mismatch when loading vs torch.cat with an empty tensor list; distinct failures." + }, + { + "left": "issue:11675", + "right": "issue:11790", + "accept": false, + "reason": "Both are LoRA-loading reports, but they concern different models/scripts and different load-time errors; too broad to merge." + }, + { + "left": "issue:10772", + "right": "issue:13065", + "accept": false, + "reason": "A controlnet support request vs a Qwen-Image controlnet inpaint/canny issue; unrelated." + }, + { + "left": "issue:2689", + "right": "issue:6439", + "accept": false, + "reason": "Both mention broken links, but they point to different assets/docs and different pages." + }, + { + "left": "issue:9343", + "right": "issue:9415", + "accept": false, + "reason": "FLUX load mismatch with ignore_mismatched_sizes vs a CogVideoXTransformer3DModel parameter-module error; different models and bugs." + }, + { + "left": "issue:10512", + "right": "issue:9461", + "accept": false, + "reason": "LoRA loading failure vs a vague Flux inference issue; not enough evidence they are the same concrete bug." + }, + { + "left": "issue:462", + "right": "issue:4724", + "accept": false, + "reason": "Both are img2img-related, but one is an Apple MPS regression and the other is an SDXL checkpoint behavior issue; different contexts." + }, + { + "left": "issue:1594", + "right": "issue:3838", + "accept": false, + "reason": "Img2Img for video generation vs Video Composer feature request; related domain, but not the same change or bug." + }, + { + "left": "issue:10382", + "right": "issue:9648", + "accept": false, + "reason": "VAE forward return-type mismatch causing AttributeError vs VAE tiling causing memory overflow; unrelated symptoms." + }, + { + "left": "issue:10950", + "right": "issue:7210", + "accept": false, + "reason": "Docs link broken vs accelerate dispatch hitting named_parameters on a pipeline; different issue types." + }, + { + "left": "issue:1538", + "right": "issue:3162", + "accept": false, + "reason": "Model incompatibility with stable-diffusion-2-base vs missing learned_classifier_free_sampling_embeddings; different failures." + }, + { + "left": "issue:13137", + "right": "issue:13221", + "accept": false, + "reason": "Both mention LoRA support/loading, but they concern different models and error classes; too broad to treat as duplicates." + }, + { + "left": "issue:1478", + "right": "issue:4349", + "accept": false, + "reason": "Multi-image output limitation vs missing text_encoder despite prompt_embeds; not the same bug." + }, + { + "left": "issue:4000", + "right": "issue:8723", + "accept": false, + "reason": "Checkpoint conversion problem vs SD3ControlNetModel initialization error; unrelated." + }, + { + "left": "issue:10045", + "right": "issue:7681", + "accept": false, + "reason": "General pipeline import problem vs environment-specific OpenSSL/lib import failure; not the same underlying issue." + }, + { + "left": "issue:10950", + "right": "issue:8850", + "accept": false, + "reason": "Broken docs section vs broken community pipelines mirror; both are broken links, but different targets." + }, + { + "left": "issue:10392", + "right": "issue:9461", + "accept": false, + "reason": "Flux-dev-fp8/Lora interaction issue vs a vague Flux inference report; insufficient overlap to call them duplicates." + }, + { + "left": "issue:11229", + "right": "issue:9096", + "accept": false, + "reason": "Both mention NaNs, but one is attention slicing on SDXL/MPS and the other is Flux half-precision inference; different code paths." + }, + { + "left": "issue:10382", + "right": "issue:9496", + "accept": false, + "reason": "VAE return-type mismatch vs SD3ControlNet forward-function error; distinct model components and failures." + }, + { + "left": "issue:4159", + "right": "issue:4390", + "accept": false, + "reason": "High VRAM usage vs missing requirements; no duplicate relation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "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-50-3013", + "nodes": [ + "issue:10025", + "issue:10282", + "issue:10514", + "issue:10710", + "issue:1083", + "issue:10920", + "issue:11023", + "issue:11275", + "issue:11283", + "issue:11709", + "issue:12009", + "issue:12113", + "issue:12126", + "issue:12348", + "issue:12529", + "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:7243", + "issue:7377", + "issue:7405", + "issue:7408", + "issue:7968", + "issue:7972", + "issue:8790", + "issue:9023" + ], + "soft_pairs": [ + "issue:12126|issue:12529", + "issue:11023|issue:11275", + "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" + ], + "prepared_review_unit_hash": "3474ed79761d74cb654f393987ca9d65b565cea9c70759c28dbe421b22f2583a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33942, + "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; only one soft pair looks like a true duplicate: the WanImageToVideoPipeline resolution/tensor-mismatch reports. The rest are superficial lexical matches across different bugs, models, or code paths.", + "confidence": 0.87, + "canonical_issue_reason": "issue:12348 is the broadest and most representative Wan report: it is open, describes a resolution-dependent tensor mismatch, and can subsume the more specific channel-count failure in 12113.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the best anchor for deduping because it captures the underlying WanImageToVideoPipeline resolution mismatch without narrowing to one exact tensor shape error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12126", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan-related, but one is a cache_context meta-tensor switch bug and the other is a tiled-VAE tensor-size mismatch; different failing code paths." + }, + { + "left": "issue:11023", + "right": "issue:11275", + "accept": false, + "reason": "Different models and failures: blurred images in a custom SDXL pipeline vs a VAE NoneType addition error in ResnetUpsampleBlock2D." + }, + { + "left": "issue:10025", + "right": "issue:7968", + "accept": false, + "reason": "Both mention attention, but one is Flux transformer attention masking and the other is UNetMotionModel attention internals; not the same bug." + }, + { + "left": "issue:1565", + "right": "issue:1608", + "accept": false, + "reason": "One is GPU selection / device placement, the other is training stopping at 500 steps; unrelated issues." + }, + { + "left": "issue:5510", + "right": "issue:7972", + "accept": false, + "reason": "Both are type-mismatch flavored, but they affect different pipelines and likely different casting paths; too broad to treat as one bug." + }, + { + "left": "issue:10920", + "right": "issue:9023", + "accept": false, + "reason": "A scheduler inf-at-first-step bug is not the same as a vague sample code failure." + }, + { + "left": "issue:11283", + "right": "issue:11709", + "accept": false, + "reason": "Both are Wan loading errors, but one is header deserialization and the other is a CausVid LoRA key error; not the same underlying failure." + }, + { + "left": "issue:5606", + "right": "issue:6368", + "accept": false, + "reason": "Both mention LoRA alpha, but one is missing-alpha handling during load and the other is unsupported-alpha checkpoint parsing; different bugs." + }, + { + "left": "issue:1083", + "right": "issue:2941", + "accept": false, + "reason": "FP16 ONNX incorrect output and EulerAncestral scheduler results are different issues in different subsystems." + }, + { + "left": "issue:5429", + "right": "issue:5462", + "accept": false, + "reason": "Support for models without VAE in examples is unrelated to adding img2img support for LCMs." + }, + { + "left": "issue:10282", + "right": "issue:12009", + "accept": false, + "reason": "Both are Wan model loading problems, but one is an x_embedder shape mismatch and the other is a meta-tensor copy failure for GGUF; not the same code-path problem." + }, + { + "left": "issue:10514", + "right": "issue:10710", + "accept": false, + "reason": "Sana resolution-binning/sample_size support and DDUF format support are unrelated." + }, + { + "left": "issue:1534", + "right": "issue:668", + "accept": false, + "reason": "Both involve DreamBooth training, but the notebook error and T4 runtime/OOM issue are distinct." + }, + { + "left": "issue:5769", + "right": "issue:5772", + "accept": false, + "reason": "Mixed precision training correctness and dataset/webdataset speed are unrelated concerns." + }, + { + "left": "issue:4542", + "right": "issue:7377", + "accept": false, + "reason": "Both involve num_images_per_prompt/batching, but they are different pipelines and different concrete failures." + }, + { + "left": "issue:1475", + "right": "issue:5877", + "accept": false, + "reason": "Training on two image classes vs a subprocess error in DreamBooth/textual inversion are not the same bug." + }, + { + "left": "issue:6869", + "right": "issue:7178", + "accept": false, + "reason": "Both mention export_to_video, but one is a specific unpacking exception and the other is a generic non-working report; insufficiently concrete to merge." + }, + { + "left": "issue:3891", + "right": "issue:7408", + "accept": false, + "reason": "Different new pipeline requests: Tortoise TTS vs FRESCO." + }, + { + "left": "issue:7243", + "right": "issue:8790", + "accept": false, + "reason": "ResAdapter and SDXL TensorRT + IP Adapter are different features, not duplicate bugs." + }, + { + "left": "issue:3728", + "right": "issue:7405", + "accept": false, + "reason": "Separate new-model/pipeline requests for Shifted Diffusion and DynamiCrafter." + }, + { + "left": "issue:3405", + "right": "issue:4314", + "accept": false, + "reason": "ControlNet training bug and interrupted-download write-protection are unrelated." + }, + { + "left": "issue:2618", + "right": "issue:3140", + "accept": false, + "reason": "Accepting an image-input bug and an import error for the same pipeline would overreach; these are different failure modes." + }, + { + "left": "issue:3250", + "right": "issue:5523", + "accept": false, + "reason": "Unable to run a specific pipeline and inconsistent results across runs are not the same underlying bug." + }, + { + "left": "issue:12113", + "right": "issue:12348", + "accept": true, + "reason": "Both report WanImageToVideoPipeline failures that vary with resolution and manifest as tensor/channel mismatches; 12113 looks like a specific instance of the broader issue in 12348." + } + ] + }, + "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 WanImageToVideoPipeline pair (12113/12348), which is supported by the titles as a resolution-dependent tensor/channel mismatch. The other soft-edge rejections are phrased cautiously and do not overstate duplicate 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-50-3013", + "nodes": [ + "issue:10050", + "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:12752", + "issue:3159", + "issue:3880", + "issue:4368", + "issue:4616", + "issue:5335", + "issue:5710", + "issue:6095", + "issue:6287", + "issue:6363", + "issue:6439", + "issue:6463", + "issue:6695", + "issue:7180", + "issue:7303", + "issue:7418", + "issue:7441", + "issue:7456", + "issue:7562", + "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:9933" + ], + "soft_pairs": [ + "issue:7180|issue:7562", + "issue:10050|issue:12752", + "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" + ], + "prepared_review_unit_hash": "581fd296433be1614f244c64bddbd68b2d409047783e2d922b7c9602474382ea", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34121, + "estimated_input_tokens": 8531, + "estimated_eval_tokens": 17318 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The packet does not support any true duplicate merges with high confidence. The listed pairs are mostly thematic similarities across broad model/pipeline areas, but the evidence shown here is too weak and non-specific to treat them as the same underlying bug or change. No PRs are present.", + "confidence": 0.23, + "canonical_issue_reason": "There is no single canonical issue for this cluster because the items span unrelated bugs, feature requests, and docs/questions. The soft pairs are not conservatively established duplicates from the packet alone.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must be used as the most concrete representative, issue 7562 is the strongest standalone candidate because it has a specific pipeline, a clear failure mode, and a focused reproducer. That said, it is not justified as a canonical duplicate anchor for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7180", + "right": "issue:7562", + "accept": false, + "reason": "Related ControlNet/offload area, but the packet only shows thematic overlap and no shared filenames, targets, or concrete proof of the same bug." + }, + { + "left": "issue:10050", + "right": "issue:12752", + "accept": false, + "reason": "Both involve img2img/inpainting themes, but one is a capability question and the other is a pipeline request for a different model family." + }, + { + "left": "issue:10054", + "right": "issue:9933", + "accept": false, + "reason": "A scheduler linspace bug and an img2img API parameter issue are different code-path problems." + }, + { + "left": "issue:3880", + "right": "issue:5710", + "accept": false, + "reason": "Inpainting degradation and scheduler initialization missing sigmas are unrelated failures." + }, + { + "left": "issue:4368", + "right": "issue:8560", + "accept": false, + "reason": "Both are OOM reports, but the model/training contexts differ and the packet gives no evidence of the same root cause." + }, + { + "left": "issue:6363", + "right": "issue:6695", + "accept": false, + "reason": "Training gradient scaling error versus subprocess startup failure; no shared bug path is shown." + }, + { + "left": "issue:6463", + "right": "issue:7456", + "accept": false, + "reason": "A missing pipeline request is unrelated to a documentation/code typo about an exception path." + }, + { + "left": "issue:7303", + "right": "issue:9397", + "accept": false, + "reason": "Scheduler-related titles are too broad here; zero_snr creation and SGMUniform support are different changes." + }, + { + "left": "issue:7681", + "right": "issue:9034", + "accept": false, + "reason": "Import/OpenSSL failure and an unnecessary dependency requirement are unrelated." + }, + { + "left": "issue:6095", + "right": "issue:7629", + "accept": false, + "reason": "Different scheduler/runtime problems: an IndexError in one case and version-specific OOM in the other." + }, + { + "left": "issue:10573", + "right": "issue:7931", + "accept": false, + "reason": "Same pipeline family, but the feature interactions differ: multicontrolnet padding crop versus IP-Adapter embeds." + }, + { + "left": "issue:10500", + "right": "issue:10653", + "accept": false, + "reason": "Similar HunyuanVideo/bitsandbytes context, but the packet does not establish the same concrete failure path." + }, + { + "left": "issue:8850", + "right": "issue:9680", + "accept": false, + "reason": "One is a community pipeline mirror/infrastructure issue, the other is an SDXL generation bug." + }, + { + "left": "issue:11023", + "right": "issue:7848", + "accept": false, + "reason": "Both mention lpw_stable_diffusion_xl, but the packet only supports broad similarity, not a confirmed duplicate bug." + }, + { + "left": "issue:5335", + "right": "issue:7418", + "accept": false, + "reason": "A deployment question and a code bug in a community pipeline are not the same issue." + }, + { + "left": "issue:9025", + "right": "issue:9031", + "accept": false, + "reason": "Same pipeline class, but the problems are different: from_single_file on TPU versus disabling the safety checker." + }, + { + "left": "issue:4616", + "right": "issue:7636", + "accept": false, + "reason": "A LoRA conversion script bug and a controlnet usage question are different topics." + }, + { + "left": "issue:11229", + "right": "issue:11342", + "accept": false, + "reason": "Both mention MPS, but they affect different pipelines/models and do not show the same failure mode." + }, + { + "left": "issue:10639", + "right": "issue:12369", + "accept": false, + "reason": "Unrelated support requests for different model families and capabilities." + }, + { + "left": "issue:11489", + "right": "issue:9729", + "accept": false, + "reason": "The titles suggest the same script family, but the packet does not provide enough concrete overlap to confirm the same bug." + }, + { + "left": "issue:3159", + "right": "issue:6439", + "accept": false, + "reason": "Two documentation-related issues, but they concern different docs and different problems." + }, + { + "left": "issue:10937", + "right": "issue:11749", + "accept": false, + "reason": "torch.compile/VAE encode errors and scheduler floating-point issues are distinct bugs." + }, + { + "left": "issue:11223", + "right": "issue:11283", + "accept": false, + "reason": "OOM with layer-wise upcasting and a WAN header deserialization error are not the same failure." + }, + { + "left": "issue:6287", + "right": "issue:7441", + "accept": false, + "reason": "Dependency cleanup and a pytest Python 3.12 failure are unrelated." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is too confident for the evidence in the packet. Every listed pair is only supported by soft similarity, with deterministic_accept=false and no shared filenames/targets, so the analyst should not mark any of them as true duplicates without stronger grounding. In particular, the accepted pairs (7180/7562, 10500/10653, 11023/7848, 11489/9729) are plausible thematic matches but not conservatively established as mergeable duplicate issues from the packet alone. The overall claim that there are 'a few true duplicate-like pairs' overstates the 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": 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-50-3013", + "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:1941", + "issue:2044", + "issue:2311", + "issue:2635", + "issue:2728", + "issue:3019", + "issue:3043", + "issue:3085", + "issue:3623", + "issue:3901", + "issue:4159", + "issue:4446", + "issue:4609", + "issue:4615", + "issue:4648", + "issue:539", + "issue:6142", + "issue:6162", + "issue:6368", + "issue:6506", + "issue:6725", + "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:9731", + "issue:9904" + ], + "soft_pairs": [ + "issue:6725|issue:9731", + "issue:3085|issue:539", + "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" + ], + "prepared_review_unit_hash": "534256fd54f88e5148501de2bbcf6a84ab196df54d8740de924b44fc5c23dec4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34070, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "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 links are mostly superficial similarity matches rather than true duplicates. No PRs are present.", + "confidence": 0.95, + "canonical_issue_reason": "Issue #9450 is the clearest, most concrete bug report in the set and a reasonable anchor for the cluster, even though the overall group is not a single duplicate family.", + "canonical_pr_reason": null, + "best_issue_reason": "#9450 has a specific code path, explicit runtime error, and enough detail to be useful as the representative issue; most others are either broad feature requests or different failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6725", + "right": "issue:9731", + "accept": false, + "reason": "Both are broad model-usage questions, but one is about LDMPipeline generation and the other about Playground2.5 LoRA training; not the same bug or change." + }, + { + "left": "issue:3085", + "right": "issue:539", + "accept": false, + "reason": "Both mention API/compatibility problems, but one is about a removed cache-folder argument and the other about snapshot_download keyword support; different issues." + }, + { + "left": "issue:1941", + "right": "issue:2728", + "accept": false, + "reason": "Both involve loading custom or safetensors models, but they target different pipelines and different failure modes." + }, + { + "left": "issue:3623", + "right": "issue:4446", + "accept": false, + "reason": "Both are model-loading troubles, but one is about larger models in general and the other about custom text_encoder support in from_single_file; not the same defect." + }, + { + "left": "issue:7243", + "right": "issue:9551", + "accept": false, + "reason": "Both mention adapter/control-style models, but they concern different model families and different integration questions." + }, + { + "left": "issue:6162", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape-related runtime errors, but one is specifically IP-Adapter SDXL mismatch and the other is a generic tuple/shape AttributeError; not the same underlying bug." + }, + { + "left": "issue:4648", + "right": "issue:7177", + "accept": false, + "reason": "Both are loading/config errors, but one is missing config.json and the other is StableCascadeDecoderPipeline.from_pretrained; different causes." + }, + { + "left": "issue:6506", + "right": "issue:6839", + "accept": false, + "reason": "Both are StableVideoDiffusionPipeline issues, but one is about output_type=\"np\" returning a list and the other is from_single_file support; different code paths." + }, + { + "left": "issue:11519", + "right": "issue:8410", + "accept": false, + "reason": "Both are requests for support of a model family, but they ask for different models and different pipeline integrations." + }, + { + "left": "issue:1433", + "right": "issue:1445", + "accept": false, + "reason": "Both are ONNX-related attribute errors, but they occur in different classes/pipelines and are not clearly the same bug." + }, + { + "left": "issue:3019", + "right": "issue:4609", + "accept": false, + "reason": "One requests SAM text-guided editing support and the other provides a t2iadapter model; these are unrelated feature requests." + }, + { + "left": "issue:11023", + "right": "issue:8613", + "accept": false, + "reason": "Both report quality/performance problems, but one is blur output in a custom pipeline and the other is an OOM during caption loading; not duplicates." + }, + { + "left": "issue:3901", + "right": "issue:4159", + "accept": false, + "reason": "One is a missing requirements.txt file and the other is a VRAM-heavy DiffEdit usage issue; unrelated." + }, + { + "left": "issue:10057", + "right": "issue:8885", + "accept": false, + "reason": "One is about token issues in from_single_file and the other is about custom diffusion installation/token loading; different failures." + }, + { + "left": "issue:10321", + "right": "issue:10398", + "accept": false, + "reason": "Both concern LTX-Video/Flux-style loading, but one is missing model files and the other is missing target modules for LoRA-like attachment; different problems." + }, + { + "left": "issue:2311", + "right": "issue:2635", + "accept": false, + "reason": "Both mention schedulers, but one is a UniPC scheduler request and the other asks which scheduler corresponds to specific names; not the same issue." + }, + { + "left": "issue:1037", + "right": "issue:1290", + "accept": false, + "reason": "Both are community-pipeline requests, but they are for different models and different contributions." + }, + { + "left": "issue:3043", + "right": "issue:7219", + "accept": false, + "reason": "Both are model addition requests, but ODISE and SUPIR are distinct features with no shared underlying bug." + }, + { + "left": "issue:1207", + "right": "issue:2044", + "accept": false, + "reason": "Both are environment/runtime AttributeErrors, but one is a missing CUDA symbol and the other is DDP lacking dtype; unrelated." + }, + { + "left": "issue:11063", + "right": "issue:8373", + "accept": false, + "reason": "Both mention input/preparation logic, but one is about attention mask padding and the other is an incorrect error message; not the same defect." + }, + { + "left": "issue:4615", + "right": "issue:6142", + "accept": false, + "reason": "Both are NameError/ImportError-style issues, but they refer to different symbols and different code paths." + }, + { + "left": "issue:10757", + "right": "issue:8975", + "accept": false, + "reason": "One is a variable-name cleanup request and the other is an import error for LoraLoaderMixin; unrelated." + }, + { + "left": "issue:10282", + "right": "issue:6368", + "accept": false, + "reason": "Both involve model weight/lora loading mismatches, but they describe different unsupported states and different failure points." + }, + { + "left": "issue:9450", + "right": "issue:9904", + "accept": false, + "reason": "Both are FluxPipeline issues, but one is a multi-GPU device-placement error and the other is silent image-shape rounding; 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": 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-50-3013", + "nodes": [ + "issue:10010", + "issue:10111", + "issue:10226", + "issue:10675", + "issue:10796", + "issue:10994", + "issue:11023", + "issue:11396", + "issue:1160", + "issue:1166", + "issue:1207", + "issue:1290", + "issue:12995", + "issue:1539", + "issue:1544", + "issue:1617", + "issue:1677", + "issue:197", + "issue:200", + "issue:2221", + "issue:2321", + "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:785", + "issue:8485", + "issue:8588", + "issue:8834", + "issue:8880", + "issue:8918", + "issue:9258", + "issue:9895", + "issue:9958" + ], + "soft_pairs": [ + "issue:1207|issue:1544", + "issue:1539|issue:2321", + "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" + ], + "prepared_review_unit_hash": "25afe53a6796405da625e2428e512fc46c7af08f233f00f31fe020495a682297", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34278, + "estimated_input_tokens": 8570, + "estimated_eval_tokens": 17396 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a heterogeneous mix of unrelated issues that only share broad Diffusers/Flux wording. I do not see any pair that clearly describes the same underlying bug or change, so I would reject all soft-edge duplicate candidates.", + "confidence": 0.89, + "canonical_issue_reason": "issue:10111 is the broadest Flux-pipeline bug report and the closest thing to a cluster anchor, but it is still too generic to serve as a true duplicate target for the other issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9895 is the most concrete, actionable issue in the set: it names a specific FluxPipeline regression, a failing error, and a suspect commit.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1207", + "right": "issue:1544", + "accept": false, + "reason": "Different scheduler/runtime failures: CUDA symbol resolution vs missing DDPMScheduler.get_velocity." + }, + { + "left": "issue:1539", + "right": "issue:2321", + "accept": false, + "reason": "Unrelated problems: conversion-script type handling vs EMA weight copying in inference." + }, + { + "left": "issue:1617", + "right": "issue:2221", + "accept": false, + "reason": "Different training/runtime errors with no shared code-path or symptom." + }, + { + "left": "issue:10010", + "right": "issue:4648", + "accept": false, + "reason": "Both are file-not-found style reports, but one is a remote Flux Fill model URL 404 and the other is a local config.json lookup failure." + }, + { + "left": "issue:1290", + "right": "issue:541", + "accept": false, + "reason": "Community model request vs SageMaker deployment topic; not the same bug/change." + }, + { + "left": "issue:11023", + "right": "issue:12995", + "accept": false, + "reason": "Different models and questions: blurry SDXL custom pipeline output vs Cosmos-Predict2.5 video behavior." + }, + { + "left": "issue:10111", + "right": "issue:10675", + "accept": false, + "reason": "Generic Flux pipeline bug report vs a specific scheduler max_shift configuration discrepancy." + }, + { + "left": "issue:10796", + "right": "issue:11396", + "accept": false, + "reason": "Unrelated docs/how-to questions for different models and workflows." + }, + { + "left": "issue:197", + "right": "issue:200", + "accept": false, + "reason": "Delete dead code vs add tests for resnet; not the same underlying issue." + }, + { + "left": "issue:2560", + "right": "issue:462", + "accept": false, + "reason": "Different pipeline regressions with different symptoms and platforms." + }, + { + "left": "issue:3043", + "right": "issue:3891", + "accept": false, + "reason": "Separate feature requests for different pipelines/models." + }, + { + "left": "issue:3043", + "right": "issue:6688", + "accept": false, + "reason": "Separate feature requests; no evidence they are the same change." + }, + { + "left": "issue:6234", + "right": "issue:8588", + "accept": false, + "reason": "Both involve example/script gaps, but they target different scripts and model families." + }, + { + "left": "issue:6374", + "right": "issue:9258", + "accept": false, + "reason": "LoRA weight-loading question vs Flux LoRA training speed comparison; different issues." + }, + { + "left": "issue:8880", + "right": "issue:9895", + "accept": false, + "reason": "Performance regression vs device-placement error; different concrete failures." + }, + { + "left": "issue:1160", + "right": "issue:1166", + "accept": false, + "reason": "Both mention hangs, but they are different tests/training flows and different failure points." + }, + { + "left": "issue:3706", + "right": "issue:4609", + "accept": false, + "reason": "New model addition vs providing a specific existing model; not duplicates." + }, + { + "left": "issue:6141", + "right": "issue:9958", + "accept": false, + "reason": "Different feature requests in different components (ControlNet params vs VAE tiling)." + }, + { + "left": "issue:10226", + "right": "issue:10994", + "accept": false, + "reason": "Both are Flux LoRA training problems, but the titles point to different failure modes and are not clearly the same bug." + }, + { + "left": "issue:1677", + "right": "issue:785", + "accept": false, + "reason": "Incorrect pipeline call type vs PNDM scheduler performance cost; unrelated." + }, + { + "left": "issue:5881", + "right": "issue:7142", + "accept": false, + "reason": "Separate output-quality complaints for different models and setups." + }, + { + "left": "issue:6278", + "right": "issue:6518", + "accept": false, + "reason": "Same script family, but one is a multi-GPU failure and the other is a NoneType division crash; not clearly the same bug." + }, + { + "left": "issue:10010", + "right": "issue:10675", + "accept": false, + "reason": "Both mention Flux, but one is a missing model file and the other is a scheduler config mismatch." + }, + { + "left": "issue:4436", + "right": "issue:5300", + "accept": false, + "reason": "Conversion workflow vs network connectivity complaint; not the same issue." + }, + { + "left": "issue:6234", + "right": "issue:8918", + "accept": false, + "reason": "Different training scripts and different broken behavior." + }, + { + "left": "issue:8485", + "right": "issue:8834", + "accept": false, + "reason": "Support request for SD3 LoRA vs question about SD3 ControlNet training release; different 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": 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-50-3013", + "nodes": [ + "issue:10054", + "issue:10231", + "issue:10855", + "issue:10920", + "issue:11014", + "issue:11178", + "issue:11540", + "issue:12436", + "issue:12483", + "issue:12761", + "issue:1350", + "issue:1539", + "issue:1617", + "issue:1974", + "issue:1976", + "issue:2083", + "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:5557", + "issue:5731", + "issue:6572", + "issue:6958", + "issue:7183", + "issue:7456", + "issue:7513", + "issue:7686", + "issue:8465", + "issue:8624", + "issue:8790", + "issue:9096", + "issue:9350", + "issue:9799", + "issue:9895" + ], + "soft_pairs": [ + "issue:1974|issue:2083", + "issue:10231|issue:8624", + "issue:11014|issue:7513", + "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" + ], + "prepared_review_unit_hash": "b0dc3d1b7f99391ac7232fe29388fb26f6b48f94df37c6bdf961cc7920b4cdd0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33881, + "estimated_input_tokens": 8471, + "estimated_eval_tokens": 17198 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are separate issue reports with only title-level thematic overlap. The strongest duplicate-like pair is issue:12436 and issue:12483, where the broader diffusers/transformers version-conflict report plausibly subsumes the specific CLIPTextModel TypeError. By contrast, issue:1974 and issue:2083 should stay separate: the evidence only shows superficial overlap around schedulers and generators, not a shared root cause.", + "confidence": 0.82, + "canonical_issue_reason": "issue:12483 is the better canonical issue because it is broader and more diagnostic, framing the diffusers/transformers incompatibility directly, while issue:12436 is a narrower symptom of that same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12483 is the strongest representative issue: it clearly describes the underlying version conflict and is the best anchor for triage of the related TypeError report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1974", + "right": "issue:2083", + "accept": false, + "reason": "Only title-level similarity is visible around schedulers and multiple generators; the concrete scheduler/parameter details differ, so there is not enough evidence to call this the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8624", + "accept": false, + "reason": "Different failures in different contexts: a tutorial ImportError on Ubuntu versus an undefined-symbol CUDA extension issue during SD3 inference." + }, + { + "left": "issue:11014", + "right": "issue:7513", + "accept": false, + "reason": "Both mention OOM, but the scenarios and likely causes differ; there is no evidence of a shared underlying bug." + }, + { + "left": "issue:9350", + "right": "issue:9799", + "accept": false, + "reason": "A deprecation warning about txt_ids shape is not the same as a tensor-size mismatch runtime error." + }, + { + "left": "issue:4213", + "right": "issue:5108", + "accept": false, + "reason": "These are different pipeline/model exceptions; shared SDXL context is too broad to merge them." + }, + { + "left": "issue:1350", + "right": "issue:3073", + "accept": false, + "reason": "Separate feature requests for different model families, not the same change." + }, + { + "left": "issue:12436", + "right": "issue:12483", + "accept": false, + "reason": "Not a soft-edge candidate in this packet, but the broader version-conflict issue does appear to encompass the narrower constructor TypeError." + }, + { + "left": "issue:2830", + "right": "issue:4611", + "accept": false, + "reason": "Unrelated video/modelscope topics without a shared bug or code path." + }, + { + "left": "issue:5731", + "right": "issue:7456", + "accept": false, + "reason": "A missing trainable logvar implementation is unrelated to a missing raise statement." + }, + { + "left": "issue:6572", + "right": "issue:8790", + "accept": false, + "reason": "Different model/pipeline requests; no shared defect is evident." + }, + { + "left": "issue:2676", + "right": "issue:3974", + "accept": false, + "reason": "A scheduler-support question and a safetensors loading problem are unrelated." + }, + { + "left": "issue:4647", + "right": "issue:6958", + "accept": false, + "reason": "Both are UNet configuration issues, but they affect different parameters and model paths, so they do not clearly describe the same bug." + }, + { + "left": "issue:1539", + "right": "issue:1976", + "accept": false, + "reason": "A conversion-script type issue and a tokenizer file-path error are different problems." + }, + { + "left": "issue:2161", + "right": "issue:4605", + "accept": false, + "reason": "These concern different training/pipeline failures and do not look like one underlying issue." + }, + { + "left": "issue:10920", + "right": "issue:9096", + "accept": false, + "reason": "Different numerical-stability symptoms in different scheduler/model contexts; not the same code-path problem." + }, + { + "left": "issue:10054", + "right": "issue:7183", + "accept": false, + "reason": "Both are scheduler-related, but one is a torch.linspace argument bug and the other is a wrong class-name display issue." + }, + { + "left": "issue:10855", + "right": "issue:12761", + "accept": false, + "reason": "Gradient accumulation behavior and an incorrect gradient-count backward error are unrelated." + }, + { + "left": "issue:2984", + "right": "issue:3073", + "accept": false, + "reason": "Separate model requests, not duplicates." + }, + { + "left": "issue:11540", + "right": "issue:9895", + "accept": false, + "reason": "Both involve Flux, but one is about VAE slicing and the other about a device-placement regression." + }, + { + "left": "issue:1617", + "right": "issue:5557", + "accept": false, + "reason": "Missing required arguments and an unexpected keyword argument are different bugs." + }, + { + "left": "issue:11178", + "right": "issue:8465", + "accept": false, + "reason": "Both are from_single_file loading issues, but they involve different models and different failure causes." + }, + { + "left": "issue:3984", + "right": "issue:7686", + "accept": false, + "reason": "Different constructor validation errors with different parameters and model classes." + }, + { + "left": "issue:4178", + "right": "issue:4194", + "accept": false, + "reason": "LoRA unloading with xformers and a from_single_file VAE failure are unrelated." + }, + { + "left": "issue:3963", + "right": "issue:4665", + "accept": false, + "reason": "Both are Windows-related, but one is about auto-download behavior and the other about safetensors/bin file selection." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall summary is mostly grounded, and the 12436/12483 linkage looks reasonable. However, the acceptance of issue:1974 with issue:2083 overstates the evidence: the packet only shows title-level similarity around multiple generators and schedulers, which is not enough to conservatively treat them as the same bug. The safer verdict there is non-duplicate unless body text or explicit linkage confirms shared root cause." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10016", + "issue:10210", + "issue:10511", + "issue:1060", + "issue:10883", + "issue:10886", + "issue:10887", + "issue:10987", + "issue:11410", + "issue:11448", + "issue:11700", + "issue:12367", + "issue:1524", + "issue:2052", + "issue:2437", + "issue:3043", + "issue:3112", + "issue:3140", + "issue:3467", + "issue:3537", + "issue:3699", + "issue:4407", + "issue:4418", + "issue:4648", + "issue:4702", + "issue:4830", + "issue:4935", + "issue:5022", + "issue:5118", + "issue:5320", + "issue:5341", + "issue:5877", + "issue:5968", + "issue:6560", + "issue:7003", + "issue:7191", + "issue:7350", + "issue:7418", + "issue:743", + "issue:8234", + "issue:8637", + "issue:8809", + "issue:8837", + "issue:9101", + "issue:9147", + "issue:9171", + "issue:9933", + "issue:9958" + ], + "soft_pairs": [ + "issue:5320|issue:5341", + "issue:11448|issue:8637", + "issue:1524|issue:5877", + "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" + ], + "prepared_review_unit_hash": "a2614546cfee69ce8d0abd0f41af243e5217cae2d7c0cd4d40cadb260376dc09", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34027, + "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 highly heterogeneous: the suggested soft pairs share only broad vocabulary (imports, shapes, LoRA, ControlNet, etc.) but not the same underlying bug or change. No duplicate edges should be accepted.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue; the cluster spans many unrelated bugs and feature requests, so none is a reliable duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global dedupe representative because the items do not converge on one code path or symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5320", + "right": "issue:5341", + "accept": false, + "reason": "Both touch PEFT, but one is a `fuse_lora` API enhancement and the other is example-script cleanup; not the same change." + }, + { + "left": "issue:11448", + "right": "issue:8637", + "accept": false, + "reason": "Different import/missing-resource failures for different pipelines and symbols." + }, + { + "left": "issue:1524", + "right": "issue:5877", + "accept": false, + "reason": "Different textual inversion-related problems: poor training quality vs checkpoint/resume failure." + }, + { + "left": "issue:3699", + "right": "issue:4418", + "accept": false, + "reason": "Mac/CUDA environment error versus SDXL inpaint `denoising_start` behavior; unrelated code paths." + }, + { + "left": "issue:3140", + "right": "issue:7191", + "accept": false, + "reason": "Both mention imports, but they concern different symbols and failure modes." + }, + { + "left": "issue:3112", + "right": "issue:5118", + "accept": false, + "reason": "Both are ControlNet-adjacent, but multi-controlnet inpainting and `reference_only` usage are different requests." + }, + { + "left": "issue:10016", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape mismatches, but one is SD3.5 `from_single_file` loading and the other is an inpaint pipeline weight shape issue." + }, + { + "left": "issue:10210", + "right": "issue:8809", + "accept": false, + "reason": "Img2img near-identity output is unrelated to feedforward output inconsistency with sequence length." + }, + { + "left": "issue:4830", + "right": "issue:8234", + "accept": false, + "reason": "Different tensor problems: MultiControlNet size mismatch versus `ip_adapter_scale` dict/type error." + }, + { + "left": "issue:5968", + "right": "issue:9101", + "accept": false, + "reason": "ONNX conversion request versus SD3 training-script request; different artifacts and goals." + }, + { + "left": "issue:7418", + "right": "issue:8837", + "accept": false, + "reason": "Community example bug versus `SlicedAttnProcessor` bug; not the same code path." + }, + { + "left": "issue:6560", + "right": "issue:9171", + "accept": false, + "reason": "Both are regression-shaped loading issues, but they affect different models and loader paths." + }, + { + "left": "issue:1060", + "right": "issue:743", + "accept": false, + "reason": "Same conversion script family, but one is a safety-checker load issue and the other is checkpoint-to-diffusers conversion failure." + }, + { + "left": "issue:5022", + "right": "issue:9147", + "accept": false, + "reason": "Import-time tokenizer name error versus Flux autopipeline error; unrelated." + }, + { + "left": "issue:10511", + "right": "issue:10883", + "accept": false, + "reason": "Scheduler redesign for SD3/Flux is unrelated to Marigold model/pipeline updates." + }, + { + "left": "issue:10886", + "right": "issue:10987", + "accept": false, + "reason": "Similar high-level theme, but one is a feature idea and the other is a different spatio-temporal diffusion topic." + }, + { + "left": "issue:10887", + "right": "issue:11700", + "accept": false, + "reason": "Import error for a trainer class versus a model-loading integration feature request." + }, + { + "left": "issue:11410", + "right": "issue:9933", + "accept": false, + "reason": "Attention processor unpacking error versus missing width/height parameters in SD3 img2img." + }, + { + "left": "issue:12367", + "right": "issue:9958", + "accept": false, + "reason": "Qwen-Image LoRA support request versus AutoencoderKLTemporalDecoder tiling support." + }, + { + "left": "issue:2052", + "right": "issue:3467", + "accept": false, + "reason": "Both are resume-related training bugs, but they involve different scripts and different faulty step/accounting behavior." + }, + { + "left": "issue:2437", + "right": "issue:3043", + "accept": false, + "reason": "Feature requests for different pipelines/models: T2I-Adapter versus ODISE." + }, + { + "left": "issue:3537", + "right": "issue:4702", + "accept": false, + "reason": "ControlNet conversion script versus a VQ-VAE training example; unrelated." + }, + { + "left": "issue:4407", + "right": "issue:4648", + "accept": false, + "reason": "Local hub download storage question versus missing `config.json` error when loading a model directory." + }, + { + "left": "issue:4935", + "right": "issue:7350", + "accept": false, + "reason": "Both mention LoRA and architecture conversion, but one is about training-script compatibility and the other about initializing ControlNet from a LoRA UNet." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10003", + "issue:10382", + "issue:1082", + "issue:10893", + "issue:11221", + "issue:11468", + "issue:11574", + "issue:12113", + "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:5476", + "issue:556", + "issue:5737", + "issue:5791", + "issue:5897", + "issue:5989", + "issue:6016", + "issue:6218", + "issue:6234", + "issue:6287", + "issue:6666", + "issue:7043", + "issue:7405", + "issue:7460", + "issue:8647", + "issue:8831", + "issue:8970", + "issue:9171", + "issue:9181", + "issue:9370", + "issue:9479", + "issue:9894" + ], + "soft_pairs": [ + "issue:5476|issue:7043", + "issue:6234|issue:6287", + "issue:1082|issue:3647", + "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" + ], + "prepared_review_unit_hash": "1cb5a1621c01efb806815015176ef2b36d894a5f2802dd930c55312212c11866", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34405, + "estimated_input_tokens": 8602, + "estimated_eval_tokens": 17460 + }, + "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 bug reports, feature requests, and training/tutorial issues with only superficial lexical overlap. I would not consolidate it to a single canonical issue or PR.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No strong canonical issue exists; if forced, issue #10003 is the broadest and most generic bug report, but it is still not a good umbrella for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5476", + "right": "issue:7043", + "accept": false, + "reason": "Different topics: DreamBooth model loading compatibility vs custom captions during training." + }, + { + "left": "issue:6234", + "right": "issue:6287", + "accept": false, + "reason": "Both are example/package hygiene issues, but one is about a specific training script and the other about setup.py dependency list; not the same bug." + }, + { + "left": "issue:1082", + "right": "issue:3647", + "accept": false, + "reason": "Both mention DreamBooth, but one is a CUDA matmul execution failure and the other is training with DeepFloyd; 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not the same underlying bug." + }, + { + "left": "issue:3788", + "right": "issue:7405", + "accept": false, + "reason": "Both are new model/pipeline requests, but they target different models and are not duplicates." + }, + { + "left": "issue:10382", + "right": "issue:9370", + "accept": false, + "reason": "Return-type mismatch in VAE encoder is unrelated to a missing pooled_projection argument in an embedding layer." + }, + { + "left": "issue:11221", + "right": "issue:11468", + "accept": false, + "reason": "Training non-convergence and float8 quantization questions are different problems." + }, + { + "left": "issue:4975", + "right": "issue:8831", + "accept": false, + "reason": "Performance issue in LoRA loading is unrelated to unsupported layers continuation." + }, + { + "left": "issue:10893", + "right": "issue:9894", + "accept": false, + "reason": "ControlNet integration request for CogVideoX is unrelated to DC-AE integration." + }, + { + "left": "issue:5989", + "right": "issue:7460", + "accept": false, + "reason": "Generic safetensors bug and an AdaLayerNorm bug are unrelated." + }, + { + "left": "issue:1919", + "right": "issue:3647", + "accept": false, + "reason": "Missing datasets in requirements.txt is unrelated to DreamBooth training with DeepFloyd." + }, + { + "left": "issue:1290", + "right": "issue:556", + "accept": false, + "reason": "DreamArtist community entry and seamless texture tiling are not the same change or bug." + }, + { + "left": "issue:4321", + "right": "issue:8970", + "accept": false, + "reason": "Both report black images, but one is ONNX DirectML FP16 output and the other is Kolors on MPS; different backends and pipelines." + }, + { + "left": "issue:8647", + "right": "issue:9171", + "accept": false, + "reason": "ControlNet img2img NoneType error and SD 1.5 v_prediction regression are different code paths." + }, + { + "left": "issue:5037", + "right": "issue:6666", + "accept": false, + "reason": "Second validation image argument error is unrelated to black validation images." + }, + { + "left": "issue:2091", + "right": "issue:2661", + "accept": false, + "reason": "Resume-from-checkpoint multi-GPU issue is not the same as checkpoint write errors." + }, + { + "left": "issue:2091", + "right": "issue:2662", + "accept": false, + "reason": "Resume-from-checkpoint multi-GPU issue is not the same as checkpoint write errors." + }, + { + "left": "issue:5791", + "right": "issue:5897", + "accept": false, + "reason": "DreamBooth prior preservation/SNR gamma question is unrelated to LoRA device-placement errors." + }, + { + "left": "issue:3085", + "right": "issue:4529", + "accept": false, + "reason": "Cache-folder argument removal and unexpected network_alpha in LoRA loading are unrelated API breakages." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "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-50-3013", + "nodes": [ + "issue:10100", + "issue:10772", + "issue:11010", + "issue:11093", + "issue:11182", + "issue:11298", + "issue:1140", + "issue:11555", + "issue:11561", + "issue:11653", + "issue:11749", + "issue:12359", + "issue:12695", + "issue:12754", + "issue:1290", + "issue:13279", + "issue:13350", + "issue:13416", + "issue:1434", + "issue:1962", + "issue:2891", + "issue:3431", + "issue:3455", + "issue:3891", + "issue:4149", + "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:9227", + "issue:9464", + "issue:9744" + ], + "soft_pairs": [ + "issue:11555|issue:12754", + "issue:9227|issue:9464", + "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" + ], + "prepared_review_unit_hash": "08c35a21b05e56f01016e16f7ab69b41327e472acaf8d3d3c3086227c26fd367", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33009, + "estimated_input_tokens": 8253, + "estimated_eval_tokens": 16762 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a grab bag of unrelated feature requests and bug reports across different models, pipelines, schedulers, and training scripts. None of the soft pairs looks like a true duplicate or the same concrete change.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: the items span many distinct models and code paths, so there is no clear duplicate hub.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick a representative, issue:11555 is the broadest library-level API question, but it still does not represent the rest of the set well.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11555", + "right": "issue:12754", + "accept": false, + "reason": "Different problems: device_map auto support vs from_pipe dtype casting to float32." + }, + { + "left": "issue:9227", + "right": "issue:9464", + "accept": false, + "reason": "Both involve FLUX training, but one is a general run failure and the other is a specific Prodigy/train_text_encoder IndexError." + }, + { + "left": "issue:11093", + "right": "issue:8850", + "accept": false, + "reason": "TorchAO example breakage and community mirror breakage are unrelated issues." + }, + { + "left": "issue:7390", + "right": "issue:8900", + "accept": false, + "reason": "Both mention from_single_file, but they affect different pipelines/models and likely different loader paths." + }, + { + "left": "issue:4363", + "right": "issue:4436", + "accept": false, + "reason": "Loading an SDXL refiner checkpoint and converting CIVITAI safetensors with VAE are different tasks." + }, + { + "left": "issue:5889", + "right": "issue:9744", + "accept": false, + "reason": "Different video-model requests: Stable Video Diffusion vs Mochi." + }, + { + "left": "issue:3891", + "right": "issue:7219", + "accept": false, + "reason": "Tortoise TTS and SUPIR upscaler are unrelated feature requests." + }, + { + "left": "issue:1434", + "right": "issue:2891", + "accept": false, + "reason": "OOM in upscaling is a runtime bug; missing embed support is a docs/API mismatch." + }, + { + "left": "issue:11298", + "right": "issue:11653", + "accept": false, + "reason": "Both are LoRA-loading topics, but one is a PEFT key error and the other is HiDream .alpha-key support." + }, + { + "left": "issue:1140", + "right": "issue:1290", + "accept": false, + "reason": "Hypernetworks and DreamArtist are different community concepts, not the same change." + }, + { + "left": "issue:1962", + "right": "issue:4949", + "accept": false, + "reason": "General video generation request vs ProPainter in/outpainting are different features." + }, + { + "left": "issue:11010", + "right": "issue:12359", + "accept": false, + "reason": "Support for a Chroma model and a guidance_scale documentation bug are not the same issue." + }, + { + "left": "issue:11749", + "right": "issue:9090", + "accept": false, + "reason": "Different scheduler bugs: floating-point timestep errors vs repeated inference timesteps." + }, + { + "left": "issue:9164", + "right": "issue:9464", + "accept": false, + "reason": "Different training failures in different FLUX scripts and with different symptoms." + }, + { + "left": "issue:5485", + "right": "issue:7080", + "accept": false, + "reason": "ControlNet batch slowdown and wandb-related output divergence are not the same bug." + }, + { + "left": "issue:10100", + "right": "issue:11561", + "accept": false, + "reason": "ConsisID support and FluxFill IP-Adapter loading are separate feature requests." + }, + { + "left": "issue:10772", + "right": "issue:12695", + "accept": false, + "reason": "Sana ControlNet support and Hunyuan v1.5 support are distinct model additions." + }, + { + "left": "issue:6132", + "right": "issue:6688", + "accept": false, + "reason": "A serialization/loading API change and MotionCntrl support are unrelated." + }, + { + "left": "issue:13350", + "right": "issue:13416", + "accept": false, + "reason": "Different user questions: batch inference for FLUX.2-klein-9B vs negative prompt usage for zimage/flux2." + }, + { + "left": "issue:3455", + "right": "issue:7670", + "accept": false, + "reason": "Training instruct-pix2pix and asking about IDDPM are unrelated." + }, + { + "left": "issue:4149", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor mismatch errors, but they describe different pipelines and failure modes." + }, + { + "left": "issue:11182", + "right": "issue:13279", + "accept": false, + "reason": "BF16 download behavior and an AutoencoderRAE/transformers compatibility error are different problems." + }, + { + "left": "issue:3891", + "right": "issue:6688", + "accept": false, + "reason": "Tortoise TTS and MotionCntrl are unrelated feature requests." + }, + { + "left": "issue:3431", + "right": "issue:4782", + "accept": false, + "reason": "Both involve inpainting, but one is poor ControlNet results and the other is mask handling corruption." + }, + { + "left": "issue:5576", + "right": "issue:6493", + "accept": false, + "reason": "Both mention FreeNoise, but one is a scheduler request and the other is a pipeline item; not clearly the same concrete 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": 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-50-3013", + "nodes": [ + "issue:10514", + "issue:10639", + "issue:10817", + "issue:1156", + "issue:11973", + "issue:12358", + "issue:12574", + "issue:12666", + "issue:12752", + "issue:13062", + "issue:13429", + "issue:1790", + "issue:1934", + "issue:2299", + "issue:2324", + "issue:2361", + "issue:2737", + "issue:2755", + "issue:2891", + "issue:3570", + "issue:4159", + "issue:4236", + "issue:4524", + "issue:4876", + "issue:4913", + "issue:5034", + "issue:5118", + "issue:5168", + "issue:5197", + "issue:5258", + "issue:5463", + "issue:5656", + "issue:5981", + "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:1934|issue:4159", + "issue:10639|issue:12752", + "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" + ], + "prepared_review_unit_hash": "3e5c6f14a7777dde1ac225d1dee4c0c006e61dc728952dd435bb2855af9c595d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 heterogeneous: most items are unrelated feature requests or bug reports across different pipelines, training scripts, schedulers, and backends. No soft edge pair looks like the same underlying issue/change, so all should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": "If a representative issue is needed, #12574 is the strongest canonical candidate: it is a concrete, well-scoped bug report with a specific failing code path and active discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "#12574 is the most actionable and specific issue in the set, with a clear root-cause description and enough detail to serve as the best representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1934", + "right": "issue:4159", + "accept": false, + "reason": "Both mention memory/VRAM, but one is about cpu_offload memory consumption and the other about DiffEdit VRAM requirements; different pipelines and failure modes." + }, + { + "left": "issue:10639", + "right": "issue:12752", + "accept": false, + "reason": "Both are model support requests, but Lumina-Image 2.0 and Z-Image img2img/inpainting are unrelated models and changes." + }, + { + "left": "issue:2737", + "right": "issue:7312", + "accept": false, + "reason": "DPMSolver CLIP guidance support and AlignProp direct reward finetuning are different features in different training/inference paths." + }, + { + "left": "issue:2755", + "right": "issue:3570", + "accept": false, + "reason": "One is about loading float16 stable diffusion checkpoints, the other about disabling downloads when loading ckpt; similar API area but not the same bug." + }, + { + "left": "issue:4876", + "right": "issue:5656", + "accept": false, + "reason": "LoRA layer std as an argument and adding a LoRA loader to community pipelines are unrelated feature requests." + }, + { + "left": "issue:5118", + "right": "issue:6132", + "accept": false, + "reason": "ControlNet reference_only usage and adding LOADABLE_CLASSES are unrelated topics; one is model behavior, the other serialization/load infrastructure." + }, + { + "left": "issue:10817", + "right": "issue:8511", + "accept": false, + "reason": "Both touch SD3 tooling, but one is missing controlnets in auto_pipeline and the other is about unloading text encoders in training scripts." + }, + { + "left": "issue:10514", + "right": "issue:12574", + "accept": false, + "reason": "Sana 4K resolution binning and WanVideoToVideoPipeline VACE control-argument handling are different models and different bugs." + }, + { + "left": "issue:2891", + "right": "issue:7168", + "accept": false, + "reason": "One is a docs/support mismatch for embeds in StableDiffusionUpscalePipeline; the other is about IP-Adapter image embed tensor shape/format." + }, + { + "left": "issue:11973", + "right": "issue:9161", + "accept": false, + "reason": "Both concern Flux training scripts, but one is a missing required CLI prompt argument and the other is distributed training bugs." + }, + { + "left": "issue:2299", + "right": "issue:5034", + "accept": false, + "reason": "Fast-stable-diffusion checkpoint support and checkpoint-loading progress bar rendering are separate issues." + }, + { + "left": "issue:2361", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint save crashes and multi-GPU slower-than-single-GPU performance are different training problems with different causes." + }, + { + "left": "issue:4913", + "right": "issue:8790", + "accept": false, + "reason": "ControlNet-OpenPose SDXL support and SDXL TensorRT + IP Adapter are distinct feature requests in different integration paths." + }, + { + "left": "issue:5981", + "right": "issue:6117", + "accept": false, + "reason": "Both are scheduler bugs, but DPMSolverMultistepScheduler and CMStochasticIterativeScheduler are different code paths and failure modes." + }, + { + "left": "issue:1156", + "right": "issue:713", + "accept": false, + "reason": "Both are generic training-error reports, but they are too vague and provide no evidence of the same root cause." + }, + { + "left": "issue:5463", + "right": "issue:6357", + "accept": false, + "reason": "An UnboundLocalError in image_latents assignment is unrelated to API-vs-local result differences." + }, + { + "left": "issue:5118", + "right": "issue:5168", + "accept": false, + "reason": "ControlNet reference_only usage and ControlNet-XS support are different requests; one is an API/how-to question, the other a model variant request." + }, + { + "left": "issue:4236", + "right": "issue:5258", + "accept": false, + "reason": "Both mention SDXL/refiner, but one is about registering the text encoder and the other is a controlnet inpaint/refiner integration issue." + }, + { + "left": "issue:12358", + "right": "issue:13429", + "accept": false, + "reason": "Lumina-DiMOO and JoyAI-Image-Edit are different pipeline additions with no shared underlying bug or implementation." + }, + { + "left": "issue:1790", + "right": "issue:2324", + "accept": false, + "reason": "A generic 'How training works?' question is not the same as Dreambooth not reading instance data." + }, + { + "left": "issue:8526", + "right": "issue:8593", + "accept": false, + "reason": "Both are SD3 device/dtype issues, but one is ineffective MPS scale handling and the other is bfloat16 noise on CPU; different symptoms and code paths." + }, + { + "left": "issue:9012", + "right": "issue:9460", + "accept": false, + "reason": "Loading SD3ControlNetModel weights and supporting a list of SD3ControlNetModel instances are separate controlnet API issues." + }, + { + "left": "issue:12666", + "right": "issue:13062", + "accept": false, + "reason": "Kandinsky 5.0 video pipeline support and blocking onnxruntime-windowsml are unrelated platform/model changes." + }, + { + "left": "issue:4524", + "right": "issue:8410", + "accept": false, + "reason": "AnimateDiff and TextDiffuser are different feature requests for different model families; same broad area, 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:10231", + "issue:10848", + "issue:10952", + "issue:1099", + "issue:11223", + "issue:11435", + "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:2319", + "issue:2646", + "issue:3094", + "issue:3113", + "issue:319", + "issue:321", + "issue:3350", + "issue:4042", + "issue:4232", + "issue:4619", + "issue:4815", + "issue:4846", + "issue:4907", + "issue:5545", + "issue:590", + "issue:6095", + "issue:6688", + "issue:6866", + "issue:7138", + "issue:8604", + "issue:8832", + "issue:8939", + "issue:8989", + "issue:9511", + "issue:9850", + "issue:9926" + ], + "soft_pairs": [ + "issue:2319|issue:590", + "issue:2646|issue:6095", + "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" + ], + "prepared_review_unit_hash": "b06ee3c3be8b9f43b8bc73e1e63444294e973c9f6d62bd29ea0c82cd7aea9be7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33880, + "estimated_input_tokens": 8470, + "estimated_eval_tokens": 17196 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose thematic collection of diffusers bugs/features, not a true duplicate cluster. All soft matches are superficial (shared words like typo, import error, crash, batch, OOM, support) but they point to different pipelines, models, or code paths, so every soft edge should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No single issue is a safe canonical here: the items are heterogeneous bug reports and feature requests rather than one underlying problem.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for duplicates triage; at best these are topic-neighbors, not the same defect or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2319", + "right": "issue:590", + "accept": false, + "reason": "Both mention typos, but one is about load_pipeline_from_original_stable_diffusion_ckpt and the other about a Karras scheduler formula; different code paths." + }, + { + "left": "issue:2646", + "right": "issue:6095", + "accept": false, + "reason": "Both are IndexError reports, but one is about tiled VAE and the other SVD scheduling_euler_discrete; not the same bug." + }, + { + "left": "issue:1305", + "right": "issue:3113", + "accept": false, + "reason": "Both are paper-style feature requests, but they propose different methods: Direct Inversion vs Cross-Attention Guidance." + }, + { + "left": "issue:6866", + "right": "issue:9511", + "accept": false, + "reason": "Both involve StableDiffusionXLControlNetInpaintPipeline, but one is IP-Adapter support and the other is multi-controlnet batching; separate changes." + }, + { + "left": "issue:4619", + "right": "issue:7138", + "accept": false, + "reason": "Both concern SDXL-related training/model mismatch, but one is a dtype mismatch in a training script and the other is a structural UNet mismatch in the official model." + }, + { + "left": "issue:10147", + "right": "issue:12221", + "accept": false, + "reason": "Both are support requests for different adapter integrations (MV-Adapter vs DiffSynth Controlnet); not the same underlying feature." + }, + { + "left": "issue:11223", + "right": "issue:13079", + "accept": false, + "reason": "Both mention OOM, but they involve different models and scenarios (WAN with loras vs FLUX.2-klein in a loop)." + }, + { + "left": "issue:3350", + "right": "issue:5545", + "accept": false, + "reason": "Both are inference problems, but they refer to different pipelines/models and different failures." + }, + { + "left": "issue:8604", + "right": "issue:8989", + "accept": false, + "reason": "Both are runtime/model-loading issues, but one is T5 float16 corruption and the other is Stable Audio sequential offloading; different code paths." + }, + { + "left": "issue:10100", + "right": "issue:6688", + "accept": false, + "reason": "Both are feature requests for new model support, but ConsisID and MotionCntrl are distinct integrations." + }, + { + "left": "issue:10231", + "right": "issue:11435", + "accept": false, + "reason": "Both are ImportError reports, but they involve different imported pipelines and likely different missing exports or environment issues." + }, + { + "left": "issue:10848", + "right": "issue:10952", + "accept": false, + "reason": "One is an unexpected device keyword in load_model_dict_into_meta; the other is an adapter-name registration error. Different bugs." + }, + { + "left": "issue:4232", + "right": "issue:4846", + "accept": false, + "reason": "One is instruct-pix2pix with controlnet condition code, the other is a dreambooth training issue; unrelated examples and failures." + }, + { + "left": "issue:8939", + "right": "issue:9850", + "accept": false, + "reason": "A tokenizer-loading ImportError is unrelated to gradient checkpointing with frozen models." + }, + { + "left": "issue:11581", + "right": "issue:13162", + "accept": false, + "reason": "Both are FLUX-related, but one is an IP-Adapter loading dtype error and the other is LoRA support; not the same problem." + }, + { + "left": "issue:11721", + "right": "issue:8832", + "accept": false, + "reason": "Both are crashes, but they occur in different pipelines and contexts; no shared underlying defect is evident." + }, + { + "left": "issue:1099", + "right": "issue:2294", + "accept": false, + "reason": "No class name for dreambooth and missing StableDiffusionVideoInpaintPipeline import are unrelated." + }, + { + "left": "issue:4815", + "right": "issue:4907", + "accept": false, + "reason": "One requests latents-only support for inpainting pipelines; the other reports a warning with a new inpainting model. Different issues." + }, + { + "left": "issue:12078", + "right": "issue:12995", + "accept": false, + "reason": "Flux Control finetuning validation-input example and Cosmos-Predict2.5 video behavior are unrelated." + }, + { + "left": "issue:12367", + "right": "issue:9926", + "accept": false, + "reason": "Qwen-Image Eligen LoRA support and gguf quantize/speed-up support are different features." + }, + { + "left": "issue:12458", + "right": "issue:12738", + "accept": false, + "reason": "Both mention batching, but one is a Qwen-image-edit batch inference request/issue and the other is a ZImagePipeline assertion error; not the same bug." + }, + { + "left": "issue:2213", + "right": "issue:3094", + "accept": false, + "reason": "A TPU distributed-environment hang and a CUDA OOM during pokemon finetuning are different training failures." + }, + { + "left": "issue:2310", + "right": "issue:4042", + "accept": false, + "reason": "Both are inpainting-adjacent questions, but one is about LDM inpainting/LaMA cleaner and the other about combining reference-only with inpainting and depth control." + }, + { + "left": "issue:319", + "right": "issue:321", + "accept": false, + "reason": "These are distinct model/paper requests (VQ-Diffusion vs Blended Diffusion), 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": 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-50-3013", + "nodes": [ + "issue:10191", + "issue:10550", + "issue:10817", + "issue:10928", + "issue:11275", + "issue:11279", + "issue:11412", + "issue:11448", + "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:4241", + "issue:4269", + "issue:4286", + "issue:4580", + "issue:4619", + "issue:4750", + "issue:4839", + "issue:5002", + "issue:5314", + "issue:5573", + "issue:5594", + "issue:5656", + "issue:5927", + "issue:6688", + "issue:7789", + "issue:7842", + "issue:8649", + "issue:9026", + "issue:9138", + "issue:9637" + ], + "soft_pairs": [ + "issue:4241|issue:5656", + "issue:11412|issue:11448", + "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" + ], + "prepared_review_unit_hash": "955edf8cf0c54dc2a0310e293e081a07b9d95d253039ad0cd6c5a401938bd314", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "Mostly unrelated issues across different features/subsystems. The only plausible duplicate pair is the SDXL LoRA-loading reports (#4061 and #4286); the rest are too different in concrete error, API, or code path to merge as duplicates.", + "confidence": 0.76, + "canonical_issue_reason": "#4286 is the clearest concrete report for the SDXL LoRA-loading failure (`load_lora_weights` not working in SDXL), while #4061 is a shorter, more generic symptom report.", + "canonical_pr_reason": null, + "best_issue_reason": "#4286 is the best representative issue because it names the specific failing API and model family, making it the most actionable canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4241", + "right": "issue:5656", + "accept": false, + "reason": "Both mention LoRA, but one is about fine-tuning unidiffusers and the other is about adding a LoRA loader to community pipelines; different change requests." + }, + { + "left": "issue:11412", + "right": "issue:11448", + "accept": false, + "reason": "Both are model-not-found/404 reports, but for different repositories/models and different loader paths." + }, + { + "left": "issue:11275", + "right": "issue:9026", + "accept": false, + "reason": "A VAE addition bug and an unexpected keyword argument in checkpoint dispatch are unrelated code paths." + }, + { + "left": "issue:3467", + "right": "issue:5573", + "accept": false, + "reason": "Both are ControlNet training issues, but one is resume-step accounting and the other is initialization timing; not the same bug." + }, + { + "left": "issue:4580", + "right": "issue:5002", + "accept": false, + "reason": "Both involve Karras sigmas, but one is a UniPC schedule exception and the other is missing scheduler arguments in different classes." + }, + { + "left": "issue:13043", + "right": "issue:13176", + "accept": false, + "reason": "Different attention failures with different backends and failure modes; not the same underlying bug." + }, + { + "left": "issue:7789", + "right": "issue:7842", + "accept": false, + "reason": "One is an MPS float32 requirement, the other is an image-size tensor mismatch in DeepFloyd stage 2." + }, + { + "left": "issue:10928", + "right": "issue:13176", + "accept": false, + "reason": "A missing checkpoint file error and an attention runtime error are unrelated." + }, + { + "left": "issue:11709", + "right": "issue:12567", + "accept": false, + "reason": "LoRA key-loading failure versus Ulysses attention noise generation; different components and symptoms." + }, + { + "left": "issue:1633", + "right": "issue:5594", + "accept": false, + "reason": "A scheduler option request and SDXL LoRA memory-saving request are different features, not one bug." + }, + { + "left": "issue:2437", + "right": "issue:6688", + "accept": false, + "reason": "Two different pipeline feature requests with no shared concrete implementation bug." + }, + { + "left": "issue:10550", + "right": "issue:11279", + "accept": false, + "reason": "Quantized LoRA loading versus initializing new layers in partially pretrained models are different loading/training scenarios." + }, + { + "left": "issue:2560", + "right": "issue:3209", + "accept": false, + "reason": "Different failures: generator-list nondeterminism versus AutoencoderKL NaNs on large images." + }, + { + "left": "issue:1358", + "right": "issue:2462", + "accept": false, + "reason": "Safetensors support and IterableDataset finetuning support are unrelated enhancement requests." + }, + { + "left": "issue:4619", + "right": "issue:4839", + "accept": false, + "reason": "Training dtype mismatch and lora_scale type errors are distinct bugs in different parts of the LoRA path." + }, + { + "left": "issue:3289", + "right": "issue:4073", + "accept": false, + "reason": "DeepFloyd super-resolution resizing bug versus a safety-checker attribute error; different code paths." + }, + { + "left": "issue:4061", + "right": "issue:4286", + "accept": true, + "reason": "Both report SDXL LoRA loading failing, centered on the same underlying `load_lora_weights`/LoRA-in-SDXL path." + }, + { + "left": "issue:10817", + "right": "issue:8649", + "accept": false, + "reason": "Missing SD3 control nets and `num_images_per_prompt` behavior are separate SD3 pipeline issues." + }, + { + "left": "issue:10191", + "right": "issue:9637", + "accept": false, + "reason": "GPU device selection in training is unrelated to the xFormers attention-mask bfloat16 kernel bug." + }, + { + "left": "issue:2310", + "right": "issue:5314", + "accept": false, + "reason": "Both mention inpainting, but one is LDM/LAMA cleaner and the other is a ControlNet reference inpainting pipeline request." + }, + { + "left": "issue:4750", + "right": "issue:5927", + "accept": false, + "reason": "Both reference inpaint/lama concepts, but one is a preprocessor request and the other is a broader combined-feature request." + }, + { + "left": "issue:11555", + "right": "issue:9138", + "accept": false, + "reason": "`device_map=\"auto\"` support and an int-vs-str TypeError are not the same issue." + }, + { + "left": "issue:1934", + "right": "issue:3209", + "accept": false, + "reason": "CPU offload memory usage and AutoencoderKL NaNs are unrelated runtime problems." + }, + { + "left": "issue:1896", + "right": "issue:2471", + "accept": false, + "reason": "Different pipeline size-handling failures with different repros and code paths." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only duplicate-like pair supported by the packet is indeed #4061/#4286 (both SDXL LoRA loading failures), and the rest are reasonably rejected as different bugs, features, or code paths. No evidence of 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": 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-50-3013", + "nodes": [ + "issue:10111", + "issue:10636", + "issue:1106", + "issue:11222", + "issue:11283", + "issue:11644", + "issue:12195", + "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:5225", + "issue:5395", + "issue:5480", + "issue:5656", + "issue:5777", + "issue:5989", + "issue:6110", + "issue:6243", + "issue:6359", + "issue:7049", + "issue:746", + "issue:7695", + "issue:8320", + "issue:8432", + "issue:8493", + "issue:852", + "issue:8604", + "issue:8742", + "issue:8752", + "issue:8837", + "issue:911", + "issue:9297", + "issue:9358", + "issue:940", + "issue:9464", + "issue:9822", + "issue:9930" + ], + "soft_pairs": [ + "issue:11222|issue:11283", + "issue:852|issue:940", + "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" + ], + "prepared_review_unit_hash": "5f83ef21c52ce1f20e695337ac935a7e7609e8a267ba6ec91b9ac529510f54a6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33790, + "estimated_input_tokens": 8448, + "estimated_eval_tokens": 17152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated one-off bug reports or feature requests. The only plausible duplicate-like pair is the LaMa/inpaint preprocessing issues; everything else is too semantically different to merge.", + "confidence": 0.78, + "canonical_issue_reason": "issue:4750 is the clearest representative of the LaMa/inpaint preprocessing topic; issue:2310 appears to be the older, vaguer counterpart.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4750 is the strongest issue to anchor this cluster because it is the most specific, concrete report among the few near-matches.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11222", + "right": "issue:11283", + "accept": false, + "reason": "Feature request for more WAN LoRAs vs a deserialization error in WAN loading; different problems." + }, + { + "left": "issue:852", + "right": "issue:940", + "accept": false, + "reason": "Both mention MPS crashes, but the scheduler and failure mode are different enough to treat as separate bugs." + }, + { + "left": "issue:1106", + "right": "issue:3221", + "accept": false, + "reason": "PNDM repeatedly invoking UNet is unrelated to load_attn_procs failing in diffusers 0.16.0." + }, + { + "left": "issue:2437", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter pipeline request vs IP-Adapter Face ID request; different features." + }, + { + "left": "issue:460", + "right": "issue:746", + "accept": false, + "reason": "Both are ONNX-related, but one is about dependency selection and the other is an offline revision loading failure." + }, + { + "left": "issue:5395", + "right": "issue:9297", + "accept": false, + "reason": "Both involve LoRAs, but one is about broken PEFT merging and the other about linear load-time slowdown." + }, + { + "left": "issue:3975", + "right": "issue:5989", + "accept": false, + "reason": "Typo in an error message is unrelated to a safetensors.torch bug." + }, + { + "left": "issue:4210", + "right": "issue:5225", + "accept": false, + "reason": "Attention_mask usage in UNet is unrelated to SDXL VRAM exhaustion during forward pass." + }, + { + "left": "issue:8432", + "right": "issue:8742", + "accept": false, + "reason": "ImportError in FromOriginalVAEMixin and removal of LoRAAttnProcessor2_0 are different compatibility issues." + }, + { + "left": "issue:7049", + "right": "issue:7695", + "accept": false, + "reason": "Both touch IP-Adapter, but one is an unpacking error in the basic example and the other is ignored cross_attention_kwargs." + }, + { + "left": "issue:460", + "right": "issue:4646", + "accept": false, + "reason": "ONNX runtime dependency issue vs ControlNet-to-ONNX conversion failure; not the same bug." + }, + { + "left": "issue:9358", + "right": "issue:9464", + "accept": false, + "reason": "Both are FLUX training script issues, but one is redundant reinitialization and the other is a list index error." + }, + { + "left": "issue:11644", + "right": "issue:8493", + "accept": false, + "reason": "LTXConditionPipeline init failure and SD3Transformer2DModel state_dict loading are separate model-loading bugs." + }, + { + "left": "issue:10111", + "right": "issue:9822", + "accept": false, + "reason": "Broad FLUX pipeline bug report vs specifically loading SDXL LoRAs into Flux; not the same concrete change." + }, + { + "left": "issue:12195", + "right": "issue:8320", + "accept": false, + "reason": "PyTorch 2.3.1 custom_op failure in AutoencoderKL is unrelated to the from_single_file __name__ attribute error." + }, + { + "left": "issue:2185", + "right": "issue:911", + "accept": false, + "reason": "Missing training config files and Dreambooth returning bad config are different configuration issues." + }, + { + "left": "issue:3576", + "right": "issue:3643", + "accept": false, + "reason": "XFormers/Textual Inversion TypeError is unrelated to latent upsample INT_MAX decoding errors." + }, + { + "left": "issue:10636", + "right": "issue:8837", + "accept": false, + "reason": "value_guided_sampling.py bug and SlicedAttnProcessor bug are different code paths." + }, + { + "left": "issue:8604", + "right": "issue:9930", + "accept": false, + "reason": "T5 float16 corruption and PAG adaptive scale bug are unrelated." + }, + { + "left": "issue:6110", + "right": "issue:8752", + "accept": false, + "reason": "Both are offline-related, but one concerns loading LoRA weights and the other from_single_file SDXL loading." + }, + { + "left": "issue:2310", + "right": "issue:4750", + "accept": true, + "reason": "Both point to the same LaMa/inpaint preprocessing area; 4750 is the clearer concrete report and 2310 appears to describe the same functionality more vaguely." + }, + { + "left": "issue:3073", + "right": "issue:5480", + "accept": false, + "reason": "Consistency models request and EDM request are separate model-feature requests." + }, + { + "left": "issue:4445", + "right": "issue:5656", + "accept": false, + "reason": "General LoRA finetuning question vs adding a LoRA loader to community pipelines; different scope." + }, + { + "left": "issue:5777", + "right": "issue:6359", + "accept": false, + "reason": "PixArt dreambooth training error and EulerDiscreteScheduler velocity/get_noise issue are unrelated." + }, + { + "left": "issue:1543", + "right": "issue:746", + "accept": false, + "reason": "textual_inversion revision handling and ONNX img2img revision loading are different loader bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative: the only accepted pair is a plausible duplicate-like LaMa/inpaint preprocessing match, while the rest are appropriately rejected as different bugs or feature requests. The canonical issue choice is also defensible based on the clearer title of issue:4750." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10003", + "issue:11225", + "issue:11437", + "issue:12574", + "issue:1274", + "issue:13477", + "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:4801", + "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:6823", + "issue:7041", + "issue:709", + "issue:730", + "issue:7306", + "issue:7417", + "issue:817", + "issue:8509", + "issue:852", + "issue:8604", + "issue:8837", + "issue:898", + "issue:911", + "issue:9134", + "issue:9178" + ], + "soft_pairs": [ + "issue:4801|issue:817", + "issue:12574|issue:13477", + "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" + ], + "prepared_review_unit_hash": "37b8d342bf856b99cc7f56f174a706c9abf6199a043e0514dbf6765934d1b7a5", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33346, + "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 a loose collection of mostly unrelated Diffusers bug reports and feature requests around training, inference, LoRA/ControlNet, and platform-specific failures. None of the soft pairs look like strong same-bug duplicates, so I would keep the issues separated.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10003 is the clearest, concrete runtime bug in a core Stable Diffusion scheduler/inference path, and it is more specific than the broader training/example reports in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10003 is the best representative issue because it describes a reproducible scheduler failure with a precise trigger, making it the most actionable anchor for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4801", + "right": "issue:817", + "accept": false, + "reason": "Both mention mixed precision in training examples, but they are different scripts and likely different failure modes; too broad to treat as the same bug." + }, + { + "left": "issue:12574", + "right": "issue:13477", + "accept": false, + "reason": "Unrelated components and symptoms: WanVideo/VACE control-arg handling versus an ErnieImage callback scope issue." + }, + { + "left": "issue:3453", + "right": "issue:898", + "accept": false, + "reason": "Different backend/hardware failures: CUDA BF16 triu/tril support versus TPU BF16 scalar-type support." + }, + { + "left": "issue:9134", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux LoRA-related, but one concerns SimpleTuner-trained LoRAs and the other PEFT target-module errors; not the same concrete bug." + }, + { + "left": "issue:6109", + "right": "issue:6196", + "accept": false, + "reason": "Related topic area, but one is a ControlNet-XS depth feature/usage issue and the other is a loading error for a specific SDXL model." + }, + { + "left": "issue:3585", + "right": "issue:852", + "accept": false, + "reason": "Different problems: LoRA synthesis into SD 1.5 versus an MPS device_map keyword crash." + }, + { + "left": "issue:4480", + "right": "issue:7417", + "accept": false, + "reason": "Both are Mac-related, but one is an MPS kernel crash during generation and the other is a test failure around LoRA fuse NaNs." + }, + { + "left": "issue:5633", + "right": "issue:8837", + "accept": false, + "reason": "Different code paths and symptoms in temporal transformer versus sliced attention processor logic." + }, + { + "left": "issue:6823", + "right": "issue:8509", + "accept": false, + "reason": "One is a generic inability to use ControlNet; the other is a ControlNet++ feature request." + }, + { + "left": "issue:1274", + "right": "issue:1785", + "accept": false, + "reason": "Both mention num_images_per_prompt, but the pipelines and failure contexts differ enough that this is not clearly one bug." + }, + { + "left": "issue:11225", + "right": "issue:11437", + "accept": false, + "reason": "Validation OOM versus missing outputs/checkpoints-images during training are distinct issues, even if both occur in training flows." + }, + { + "left": "issue:3325", + "right": "issue:4839", + "accept": false, + "reason": "Different failures in different features: DreamBooth CUDA invalid argument versus lora_scale type error." + }, + { + "left": "issue:10003", + "right": "issue:7041", + "accept": false, + "reason": "Both involve inference-step crashes, but the described triggers and symptoms are different enough that they should not be merged without stronger evidence." + }, + { + "left": "issue:1642", + "right": "issue:709", + "accept": false, + "reason": "Scheduler implementation bug versus documentation typo; clearly unrelated." + }, + { + "left": "issue:2306", + "right": "issue:3630", + "accept": false, + "reason": "Generic runtime error versus unknown UNet2DModel error; no evidence of the same underlying defect." + }, + { + "left": "issue:4697", + "right": "issue:6749", + "accept": false, + "reason": "A specific LoRA load regression and an InstantID reproduction issue are not the same bug." + }, + { + "left": "issue:4912", + "right": "issue:5162", + "accept": false, + "reason": "Both are conversion-related, but one asks for SDXL checkpoint conversion and the other for folder-to-safetensors conversion; different requests." + }, + { + "left": "issue:5160", + "right": "issue:5594", + "accept": false, + "reason": "DreamBooth/LoRA masking feature request versus SDXL LoRA memory-saving request; not the same change." + }, + { + "left": "issue:5285", + "right": "issue:5925", + "accept": false, + "reason": "Docs translation work and a ZipLora feature request are unrelated." + }, + { + "left": "issue:5300", + "right": "issue:6418", + "accept": false, + "reason": "Internet-connection complaint versus stable video diffusion output collapse; no shared bug surface." + }, + { + "left": "issue:730", + "right": "issue:911", + "accept": false, + "reason": "Both concern DreamBooth, but one is a training-behavior report and the other is a bad config issue; too different to merge." + }, + { + "left": "issue:7306", + "right": "issue:8604", + "accept": false, + "reason": "Both mention float16, but they affect different pipelines/components and have different symptoms." + }, + { + "left": "issue:2772", + "right": "issue:6357", + "accept": false, + "reason": "Local dataset validation in train_controlnet.py and API-vs-local result differences are separate problems." + }, + { + "left": "issue:4314", + "right": "issue:4789", + "accept": false, + "reason": "Interrupted-download write-protection and inability to download DeepFloyd IF are different download 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": 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-50-3013", + "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:13043", + "issue:13488", + "issue:13506", + "issue:1377", + "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:5576", + "issue:6008", + "issue:6818", + "issue:7766", + "issue:8518", + "issue:8588", + "issue:8759", + "issue:9026", + "issue:9166", + "issue:9241", + "issue:9258", + "issue:9479", + "issue:9602", + "issue:9867", + "issue:987", + "issue:993" + ], + "soft_pairs": [ + "issue:9479|issue:9867", + "issue:6818|issue:7766", + "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:13043|issue:13506", + "issue:3097|issue:993", + "issue:3769|issue:987" + ], + "prepared_review_unit_hash": "7d38c2726eece2bee2dcf88d07e2fc74529f4b502034b0cf413d5136f9ab4dee", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34322, + "estimated_input_tokens": 8581, + "estimated_eval_tokens": 17418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly unrelated bug reports and feature requests around Diffusers pipelines, adapters, schedulers, conversion scripts, and compile/offload issues. I don\u2019t see any true duplicate pair among the soft candidates.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10848 is the clearest concrete bug report in the set: it has a specific runtime error, a focused API mismatch, and a straightforward code-path to investigate.", + "canonical_pr_reason": null, + "best_issue_reason": "10848 is the strongest representative issue because it is precise, reproducible, and actionable, unlike the broader feature requests or vague pipeline reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9479", + "right": "issue:9867", + "accept": false, + "reason": "Both are inpainting/mask-related, but they describe different pipelines and likely different code paths; too broad to treat as the same bug." + }, + { + "left": "issue:6818", + "right": "issue:7766", + "accept": false, + "reason": "One is a concrete unload/error report, the other is a usage question about FaceID Plus; not the same underlying issue." + }, + { + "left": "issue:10873", + "right": "issue:11721", + "accept": false, + "reason": "Both mention SanaPipeline, but one is model-specific and the other is a load crash; not enough evidence of the same defect." + }, + { + "left": "issue:3073", + "right": "issue:5576", + "accept": false, + "reason": "Different feature requests: consistency models vs a new scheduler. Same area, not the same change." + }, + { + "left": "issue:10147", + "right": "issue:10896", + "accept": false, + "reason": "Separate feature requests for different models and use cases; not a duplicate change request." + }, + { + "left": "issue:10569", + "right": "issue:10932", + "accept": false, + "reason": "Both involve HunyuanVideo, but one is CPU memory usage and the other is torch.compile recompilation behavior; different bugs." + }, + { + "left": "issue:10472", + "right": "issue:8759", + "accept": false, + "reason": "Completely different failures: a LoRA constructor keyword error versus an image processor runtime warning." + }, + { + "left": "issue:2311", + "right": "issue:5576", + "accept": false, + "reason": "Both are scheduler-related requests, but they are different schedulers and different intended functionality." + }, + { + "left": "issue:4731", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but they hit different models and different compiler failures; not mergeable as one fix." + }, + { + "left": "issue:9026", + "right": "issue:9166", + "accept": false, + "reason": "Unrelated problems: one is an accelerate/offloading API mismatch, the other is overlay behavior in image processing." + }, + { + "left": "issue:12108", + "right": "issue:13488", + "accept": false, + "reason": "Different breakages in different subsystems: flow-matching scheduler behavior versus CPU offloading regression." + }, + { + "left": "issue:10848", + "right": "issue:9602", + "accept": false, + "reason": "Both involve adapters, but one is a load_model_dict_into_meta keyword mismatch and the other is missing adapter names; distinct bugs." + }, + { + "left": "issue:2444", + "right": "issue:2775", + "accept": false, + "reason": "These are unrelated errors in different contexts; no shared concrete code-path." + }, + { + "left": "issue:5091", + "right": "issue:9258", + "accept": false, + "reason": "One is about model CPU offload with multiple GPUs; the other is a training performance discrepancy across OSes." + }, + { + "left": "issue:1255", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and likely different dependency/version issues." + }, + { + "left": "issue:4808", + "right": "issue:6008", + "accept": false, + "reason": "Different pipelines and failure modes; only broad \u2018test/pipeline failure\u2019 similarity." + }, + { + "left": "issue:2149", + "right": "issue:2150", + "accept": false, + "reason": "Related texture workflows, but one is a general workflow request and the other is a specific img2img compatibility request." + }, + { + "left": "issue:4000", + "right": "issue:4964", + "accept": false, + "reason": "Both are model conversion topics, but they target different model families and different conversion directions." + }, + { + "left": "issue:10076", + "right": "issue:9241", + "accept": false, + "reason": "Different conversion requests with different source/target formats; not the same script or bug." + }, + { + "left": "issue:11000", + "right": "issue:8588", + "accept": false, + "reason": "A missing pipeline argument and a missing conversion script are unrelated issues." + }, + { + "left": "issue:1161", + "right": "issue:4912", + "accept": false, + "reason": "Both are conversion-related, but they concern different source formats and model types." + }, + { + "left": "issue:1377", + "right": "issue:305", + "accept": false, + "reason": "Both are import problems, but the missing object and package context differ; 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The soft pairs are mostly superficial similarity matches rather than true duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8918", + "right": "issue:9424", + "accept": false, + "reason": "Both mention broken training scripts, but one is SD3 Dreambooth and the other is a specific notebook regression; different code paths and fixes." + }, + { + "left": "issue:6101", + "right": "issue:7348", + "accept": false, + "reason": "Both involve ControlNet/inpaint behavior, but one is a performance complaint and the other is a scheduler output bug; not the same defect." + }, + { + "left": "issue:4186", + "right": "issue:5108", + "accept": false, + "reason": "Both are XL pipeline problems, but one is SDXL inpaint+refiner and the other is T2I multi-adapter exceptions; different features and failure modes." + }, + { + "left": "issue:2185", + "right": "issue:2712", + "accept": false, + "reason": "Both are config-related, but one is missing training config files and the other is missing a specific normalization config key; unrelated issues." + }, + { + "left": "issue:11387", + "right": "issue:11864", + "accept": false, + "reason": "One is an AutoencoderDC normalization implementation issue; the other is a torch.compile scoping error in encode. Different underlying bugs." + }, + { + "left": "issue:6095", + "right": "issue:9001", + "accept": false, + "reason": "Both are scheduler-related, but one is an IndexError in Euler discrete scheduling for SVD and the other is aspect-ratio handling in Auraflow; not the same change." + }, + { + "left": "issue:490", + "right": "issue:801", + "accept": false, + "reason": "Both discuss memory/attention behavior in image pipelines, but one is generic memory usage and the other is attention slicing in inpaint/img2img; too broad to merge." + }, + { + "left": "issue:3682", + "right": "issue:4630", + "accept": false, + "reason": "Both concern LoRAs, but one is loading weights and the other is changing LoRA weight after load; distinct functionality." + }, + { + "left": "issue:1335", + "right": "issue:852", + "accept": false, + "reason": "Both are constructor/runtime compatibility issues, but one is ONNX pipeline init and the other is MPS device_map handling; unrelated code paths." + }, + { + "left": "issue:2412", + "right": "issue:3647", + "accept": false, + "reason": "Both are Dreambooth/training-related, but one is a generic Dreambooth error and the other is specific to DeepFloyd support; not duplicates." + }, + { + "left": "issue:4808", + "right": "issue:6393", + "accept": false, + "reason": "Both involve loading-related failures, but one is an integration test for SHAP-E img2img and the other is private HF link download via from_single_file; different problems." + }, + { + "left": "issue:10940", + "right": "issue:9034", + "accept": false, + "reason": "Both mention import/requirements issues, but one is missing triton.ops and the other is an unnecessary sentencepiece requirement; not the same bug." + }, + { + "left": "issue:1231", + "right": "issue:5224", + "accept": false, + "reason": "Both mention schedulers/Flax, but one is a K-LMS scheduler feature request and the other is a Stable Diffusion 2.1 error; different contexts." + }, + { + "left": "issue:3382", + "right": "issue:5197", + "accept": false, + "reason": "Both are multi-GPU training performance issues, but one is CUDA OOM in a script and the other is slower-than-single-GPU throughput; not a duplicate fix." + }, + { + "left": "issue:10025", + "right": "issue:9822", + "accept": false, + "reason": "Both mention Flux, but one is about attention masks and the other is LoRA loading into Flux; separate functionality." + }, + { + "left": "issue:1530", + "right": "issue:4390", + "accept": false, + "reason": "Both are missing-configuration style reports, but one is a specific VQDiffusion pipeline field and the other is missing requirements in general; not the same issue." + }, + { + "left": "issue:3015", + "right": "issue:6370", + "accept": false, + "reason": "Both mention converting/loading LoRA or ControlNet assets, but one is ControlNet format conversion and the other is using diffusers LoRA in A1111; different tasks." + }, + { + "left": "issue:4747", + "right": "issue:6374", + "accept": false, + "reason": "Both concern loading fine-tuned/LoRA assets, but one is a missing model_index.json after load and the other is a Qwen LoRA weight question; unrelated." + }, + { + "left": "issue:5595", + "right": "issue:6695", + "accept": false, + "reason": "Both are runtime errors, but one is a shape divisibility ValueError and the other is a subprocess failure while starting training; no shared root cause." + }, + { + "left": "issue:11178", + "right": "issue:12423", + "accept": false, + "reason": "Both are single-file/model loading issues, but one is MistoLine ControlNet and the other is QwenImageTransformer2DModel.from_single_file; different models and loaders." + }, + { + "left": "issue:11010", + "right": "issue:12108", + "accept": false, + "reason": "Both relate to Flux/Chroma and flow-style models, but one is support for Chroma architecture changes and the other is a scheduler parameterization break; not mergeable as one bug." + }, + { + "left": "issue:1363", + "right": "issue:945", + "accept": false, + "reason": "One is an ONNX scheduler interaction error; the other is adding a custom checkpoint model for ONNX conversion. Different issue classes." + }, + { + "left": "issue:1274", + "right": "issue:962", + "accept": false, + "reason": "Both are SD pipeline shape/batch handling issues, but one is num_images_per_prompt regression and the other is inpaint size support; not the same defect." + }, + { + "left": "issue:11901", + "right": "issue:12147", + "accept": false, + "reason": "Both are Wan LoRA loading reports, but they target different model generations and likely different loaders/failure points; too weak for duplicate triage." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 207, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10191", + "issue:10227", + "issue:10302", + "issue:10520", + "issue:10590", + "issue:10891", + "issue:11220", + "issue:11436", + "issue:11569", + "issue:11644", + "issue:11653", + "issue:11710", + "issue:1889", + "issue:2053", + "issue:2635", + "issue:2676", + "issue:2905", + "issue:3199", + "issue:3300", + "issue:3975", + "issue:4159", + "issue:4265", + "issue:4303", + "issue:4923", + "issue:5317", + "issue:5320", + "issue:5327", + "issue:5509", + "issue:5558", + "issue:6101", + "issue:6423", + "issue:6452", + "issue:702", + "issue:7223", + "issue:7293", + "issue:7751", + "issue:7936", + "issue:7939", + "issue:8435", + "issue:8494", + "issue:8593", + "issue:8780", + "issue:9225", + "issue:9303", + "issue:9306", + "issue:9667", + "issue:9756", + "issue:9876" + ], + "soft_pairs": [ + "issue:11220|issue:9756", + "issue:5317|issue:5320", + "issue:10891|issue:11436", + "issue:8494|issue:8593", + "issue:5509|issue:9225", + "issue:10191|issue:9876", + "issue:1889|issue:2635", + "issue:7223|issue:9303", + "issue:10590|issue:10891", + "issue:2905|issue:6452", + "issue:4923|issue:6423", + "issue:10520|issue:9306", + "issue:10227|issue:11653", + "issue:11569|issue:11710", + "issue:11644|issue:8435", + "issue:2676|issue:702", + "issue:3300|issue:4265", + "issue:4303|issue:7751", + "issue:7936|issue:7939", + "issue:3975|issue:5327", + "issue:3199|issue:3300", + "issue:2053|issue:4159", + "issue:7293|issue:8780", + "issue:10302|issue:9667", + "issue:5558|issue:6101" + ], + "prepared_review_unit_hash": "be3273e6bf170122352579858d72eb7dcc497874dfc619c5fc7f82c53b65c72d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34180, + "estimated_input_tokens": 8545, + "estimated_eval_tokens": 17346 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated device-routing bugs, dtype/bfloat16 mismatches, feature requests, scheduler questions, docs issues, and model-loading failures. None of the soft edges look like true duplicates or the same fixable code path.", + "confidence": 0.96, + "canonical_issue_reason": "issue:8780 is the broadest generic symptom in the set ('Model and input data type is not same'), so it is the closest weak umbrella for the dtype-related subset, but the overall cluster is not cohesive enough to treat as one duplicate thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8780 is the most representative fallback because it is generic and open-ended, but it still only covers a subset of the issues and is not a strong global canonical for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11220", + "right": "issue:9756", + "accept": false, + "reason": "Docs page not working and missing notebook are unrelated documentation/navigation problems, not the same underlying bug." + }, + { + "left": "issue:5317", + "right": "issue:5320", + "accept": false, + "reason": "Both are PEFT-related, but one is documentation and the other is an API enhancement request; different changes." + }, + { + "left": "issue:10891", + "right": "issue:11436", + "accept": false, + "reason": "Both involve bfloat16, but they hit different components and failure modes: DCAE internal conversions vs Hidream matmul dtype mismatch." + }, + { + "left": "issue:8494", + "right": "issue:8593", + "accept": false, + "reason": "Unexpected force_hooks kwarg and CPU bfloat16 noise are different SD3 issues with no shared code path." + }, + { + "left": "issue:5509", + "right": "issue:9225", + "accept": false, + "reason": "Both are image-shape related, but one is prompt/image batch sizing and the other is RGBA latent sizing; different bugs." + }, + { + "left": "issue:10191", + "right": "issue:9876", + "accept": false, + "reason": "GPU device selection during training and VRAM not being released after LoRA training are different resource-management problems." + }, + { + "left": "issue:1889", + "right": "issue:2635", + "accept": false, + "reason": "A scheduler variant request and a scheduler-name mapping question are related only broadly, not the same issue or fix." + }, + { + "left": "issue:7223", + "right": "issue:9303", + "accept": false, + "reason": "Separate feature requests for different video models; not the same underlying change." + }, + { + "left": "issue:10590", + "right": "issue:10891", + "accept": false, + "reason": "Both mention bfloat16, but one is Sana tiled VAE decode and the other is DCAE internal type conversion; different code paths." + }, + { + "left": "issue:2905", + "right": "issue:6452", + "accept": false, + "reason": "Adding Karras sigmas to schedulers and adding masked_image_latents are unrelated feature requests." + }, + { + "left": "issue:4923", + "right": "issue:6423", + "accept": false, + "reason": "AudioLDM2 transcript support and fill50k reproduction are unrelated issues." + }, + { + "left": "issue:10520", + "right": "issue:9306", + "accept": false, + "reason": "Both are device-placement errors, but they concern different pipelines and likely different bugs." + }, + { + "left": "issue:10227", + "right": "issue:11653", + "accept": false, + "reason": "Both concern LoRA support, but one is a feature limitation on feature sizes and the other is .alpha-key compatibility; not the same fix." + }, + { + "left": "issue:11569", + "right": "issue:11710", + "accept": false, + "reason": "Different feature requests for different models/projects; no shared code defect." + }, + { + "left": "issue:11644", + "right": "issue:8435", + "accept": false, + "reason": "LTXConditionPipeline init failure and from_single_file runtime error are different loading paths and symptoms." + }, + { + "left": "issue:2676", + "right": "issue:702", + "accept": false, + "reason": "Scheduler naming question and reverse sampling proposal are about the same area but not the same underlying change." + }, + { + "left": "issue:3300", + "right": "issue:4265", + "accept": false, + "reason": "A general 'Diffusers on HuggingFace are broken' report and an import error for a specific pipeline are not the same bug." + }, + { + "left": "issue:4303", + "right": "issue:7751", + "accept": false, + "reason": "Flax SDXL loading crash and animatediff conversion errors are unrelated." + }, + { + "left": "issue:7936", + "right": "issue:7939", + "accept": false, + "reason": "Both are loading failures, but one is invalid JSON in a safetensors file and the other is loading from the same folder; different causes." + }, + { + "left": "issue:3975", + "right": "issue:5327", + "accept": false, + "reason": "A typo in an error message and SDXL textual inversion loading failure are unrelated." + }, + { + "left": "issue:3199", + "right": "issue:3300", + "accept": false, + "reason": "Custom pipelines broken and HF-hosted diffusers broken are too broad and refer to different problems." + }, + { + "left": "issue:2053", + "right": "issue:4159", + "accept": false, + "reason": "Both mention VRAM, but one is a version-wide regression and the other is DiffEdit's high memory use; not the same issue." + }, + { + "left": "issue:7293", + "right": "issue:8780", + "accept": false, + "reason": "AudioLDM2 model integration request and a generic dtype mismatch error are unrelated." + }, + { + "left": "issue:10302", + "right": "issue:9667", + "accept": false, + "reason": "Both involve FP8/transformer-flux context, but one reports inference noise without CPU offloading and the other a local file loading error; different fixes." + }, + { + "left": "issue:5558", + "right": "issue:6101", + "accept": false, + "reason": "Same pipeline family, but one is output artefacts with multiple ControlNets and the other is performance regression; 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": 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-50-3013", + "nodes": [ + "issue:10591", + "issue:10772", + "issue:10855", + "issue:12147", + "issue:13279", + "issue:1343", + "issue:1961", + "issue:2150", + "issue:2220", + "issue:2312", + "issue:2331", + "issue:2390", + "issue:2424", + "issue:2453", + "issue:2644", + "issue:2783", + "issue:2843", + "issue:3480", + "issue:3689", + "issue:3694", + "issue:3740", + "issue:4453", + "issue:4724", + "issue:4782", + "issue:4874", + "issue:4907", + "issue:4923", + "issue:5197", + "issue:5829", + "issue:6055", + "issue:6069", + "issue:6090", + "issue:6288", + "issue:6357", + "issue:6399", + "issue:6570", + "issue:7210", + "issue:7895", + "issue:8323", + "issue:8477", + "issue:8514", + "issue:8543", + "issue:8994", + "issue:9069", + "issue:9225", + "issue:9293", + "issue:9511", + "issue:9979" + ], + "soft_pairs": [ + "issue:2150|issue:2783", + "issue:6069|issue:8323", + "issue:6570|issue:9225", + "issue:10772|issue:9511", + "issue:10855|issue:8543", + "issue:3694|issue:5197", + "issue:2331|issue:2390", + "issue:2453|issue:4923", + "issue:4724|issue:8994", + "issue:3740|issue:7210", + "issue:4782|issue:4907", + "issue:4874|issue:6357", + "issue:12147|issue:13279", + "issue:8477|issue:8514", + "issue:6090|issue:9979", + "issue:2220|issue:2644", + "issue:2312|issue:2843", + "issue:3480|issue:3689", + "issue:4453|issue:6399", + "issue:9069|issue:9293", + "issue:1961|issue:6055", + "issue:10591|issue:7895", + "issue:1343|issue:2424", + "issue:5829|issue:6288" + ], + "prepared_review_unit_hash": "69294bcaec44989ad1b27bbceaba42f1a8c202fed85d6977b4c741cfaaea570a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33639, + "estimated_input_tokens": 8410, + "estimated_eval_tokens": 17076 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, heterogeneous cluster of unrelated issue reports across training scripts, pipeline features, scheduler/runtime errors, and dependency/loading problems. None of the soft edges 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:2150", + "right": "issue:2783", + "accept": false, + "reason": "Both are ControlNet-adjacent, but one is about texture projection with img2img and the other is a request for an img2img/inpainting ControlNet pipeline; different feature work." + }, + { + "left": "issue:6069", + "right": "issue:8323", + "accept": false, + "reason": "Different failure modes: a scheduler math bug at t=0 versus a Chinese-language scheduler file recognition issue." + }, + { + "left": "issue:6570", + "right": "issue:9225", + "accept": false, + "reason": "Both involve SDXL InstructPix2Pix, but one is a tensor-size mismatch in the pipeline and the other is a latent-size issue specifically with RGBA images; related but not the same concrete bug." + }, + { + "left": "issue:10772", + "right": "issue:9511", + "accept": false, + "reason": "Sana ControlNet support request and multi-ControlNet batching for SDXL inpaint are separate feature requests for different pipelines." + }, + { + "left": "issue:10855", + "right": "issue:8543", + "accept": false, + "reason": "Gradient accumulation stepping every iteration is an optimizer loop bug, while the SD3 dreambooth issue is about gradient checkpointing failure; unrelated training problems." + }, + { + "left": "issue:3694", + "right": "issue:5197", + "accept": false, + "reason": "One is a missing model/config path during example fine-tuning; the other is multi-GPU training being slower than single GPU. Different symptoms and root causes." + }, + { + "left": "issue:2331", + "right": "issue:2390", + "accept": false, + "reason": "Both are pipeline feature requests, but ControlNet and T2I-Adapter are distinct integrations with different code paths." + }, + { + "left": "issue:2453", + "right": "issue:4923", + "accept": false, + "reason": "A general contribution question is unrelated to an AudioLDM 2 feature request." + }, + { + "left": "issue:4724", + "right": "issue:8994", + "accept": false, + "reason": "Both mention generation behavior, but one is SDXL img2img not working as expected and the other is steps stuck at 0; not the same bug." + }, + { + "left": "issue:3740", + "right": "issue:7210", + "accept": false, + "reason": "Different accelerate/device_map issues: legacy attention conversion with sequential dispatch versus missing named_parameters on a pipeline object." + }, + { + "left": "issue:4782", + "right": "issue:4907", + "accept": false, + "reason": "Inpainting mask leakage versus a warning about a new inpainting model under SDXL; different problems." + }, + { + "left": "issue:4874", + "right": "issue:6357", + "accept": false, + "reason": "Upscale pipeline local-loading bug and API-vs-local output differences are not the same issue." + }, + { + "left": "issue:12147", + "right": "issue:13279", + "accept": false, + "reason": "Different model-loading failures: Wan2.2 Lightning LoRA loading versus AutoencoderRAE loading with older transformers." + }, + { + "left": "issue:8477", + "right": "issue:8514", + "accept": false, + "reason": "Both are distributed training errors, but one is a DDP error in a consistency script and the other is an EMAModel/InstructP2P parallel fine-tuning failure; not the same code path." + }, + { + "left": "issue:6090", + "right": "issue:9979", + "accept": false, + "reason": "Both are tensor/channel mismatch errors, but they occur in different pipelines and likely different model-input contracts." + }, + { + "left": "issue:2220", + "right": "issue:2644", + "accept": false, + "reason": "Both ask about multi-GPU DreamBooth training, but one is general problems and the other is whether training on two 12GB GPUs is supported; not the same concrete bug." + }, + { + "left": "issue:2312", + "right": "issue:2843", + "accept": false, + "reason": "EMA hook save error versus multi-GPU checkpoint saving; both are saving-related but distinct failure points and contexts." + }, + { + "left": "issue:3480", + "right": "issue:3689", + "accept": false, + "reason": "A request for a text-encoder LoRA scale parameter is unrelated to unloading LoRA weights after loading." + }, + { + "left": "issue:4453", + "right": "issue:6399", + "accept": false, + "reason": "Both concern LoRA compatibility/visibility, but one is SDXL LoRA conversion for A1111 while the other is pytorch_lora_weights visibility in UIs; different interoperability problems." + }, + { + "left": "issue:9069", + "right": "issue:9293", + "accept": false, + "reason": "A NumPy type mismatch versus a missing Float8 storage backend are unrelated dependency/type errors." + }, + { + "left": "issue:1961", + "right": "issue:6055", + "accept": false, + "reason": "A ColossalAI-specific error and a generic accelerate error are too underspecified and appear unrelated." + }, + { + "left": "issue:10591", + "right": "issue:7895", + "accept": false, + "reason": "SD3 LoRA training-script problem and Flax memory-efficient attention bug are different frameworks and code paths." + }, + { + "left": "issue:1343", + "right": "issue:2424", + "accept": false, + "reason": "Enabling xformers by default is a feature/configuration change; flake8-comprehension checks are linting, not the same change." + }, + { + "left": "issue:5829", + "right": "issue:6288", + "accept": false, + "reason": "LCM training script missing an argument versus default LR being too small; both are training-script issues 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": 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-50-3013", + "nodes": [ + "issue:10066", + "issue:10100", + "issue:1064", + "issue:11907", + "issue:12037", + "issue:1546", + "issue:1604", + "issue:1831", + "issue:1941", + "issue:2044", + "issue:2177", + "issue:2340", + "issue:2614", + "issue:2646", + "issue:2761", + "issue:3191", + "issue:3933", + "issue:3978", + "issue:4014", + "issue:4210", + "issue:4376", + "issue:4447", + "issue:4593", + "issue:4638", + "issue:5981", + "issue:5989", + "issue:6113", + "issue:6238", + "issue:6283", + "issue:6295", + "issue:6632", + "issue:6689", + "issue:7000", + "issue:7002", + "issue:709", + "issue:7219", + "issue:8465", + "issue:851", + "issue:8588", + "issue:9063", + "issue:9141", + "issue:9366", + "issue:9511", + "issue:9619", + "issue:968", + "issue:9895", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:4447|issue:8465", + "issue:10066|issue:12037", + "issue:5981|issue:5989", + "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:2761|issue:709", + "issue:3978|issue:6283", + "issue:6632|issue:8588" + ], + "prepared_review_unit_hash": "d2751f0ea18b28616664eadc3b7113e6a147cbd904f0880648082fa5e8e48271", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33854, + "estimated_input_tokens": 8464, + "estimated_eval_tokens": 17184 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated bug/feature reports with superficial title overlap around Flux, schedulers, and model loading. The only clear duplicate-like pair is the SDXL textual inversion failure.", + "confidence": 0.84, + "canonical_issue_reason": "issue:4376 is the clearest concrete bug report in the only strong duplicate pair; it directly describes the SDXL textual inversion crash and is more specific than the companion report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4376 is the best representative issue here because it is concrete, reproducible, and the closest match to another report in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4447", + "right": "issue:8465", + "accept": false, + "reason": "Both are loading-related, but one is an auth/restriction error and the other is a missing config.json when loading a single-file model; different root causes." + }, + { + "left": "issue:10066", + "right": "issue:12037", + "accept": false, + "reason": "The first is a self.attn unpacking ValueError; the second is LoRA compatibility for Wan 2.2. Different models and failure modes." + }, + { + "left": "issue:5981", + "right": "issue:5989", + "accept": false, + "reason": "One is a DPMSolverMultistepScheduler bug, the other a safetensors.torch bug; too broad and different code paths." + }, + { + "left": "issue:4014", + "right": "issue:6295", + "accept": false, + "reason": "Both mention image artifacts, but one is SDXL watermark artifacts and the other is sampler-specific artifacts with DPM++ 2M SDE Karras." + }, + { + "left": "issue:1064", + "right": "issue:1546", + "accept": false, + "reason": "Scheduler add_noise failure vs truncation warning breaking batched inputs; not the same bug." + }, + { + "left": "issue:2044", + "right": "issue:851", + "accept": false, + "reason": "Both are dtype-related, but one is DDP missing a dtype attribute and the other is a float/half mismatch during loading." + }, + { + "left": "issue:2614", + "right": "issue:968", + "accept": false, + "reason": "A download-directory feature request and a model-loading performance complaint are unrelated." + }, + { + "left": "issue:9511", + "right": "issue:9619", + "accept": false, + "reason": "Different ControlNet feature requests: multi-controlnet batching vs interrupt support." + }, + { + "left": "issue:1831", + "right": "issue:2340", + "accept": false, + "reason": "Dreambooth class-image precision mismatch vs tiny pipeline safety checker error; different pipelines and symptoms." + }, + { + "left": "issue:7002", + "right": "issue:9972", + "accept": false, + "reason": "Both are buffer-size problems, but one is an img2img invalid-buffer error and the other is a MacOS/CogX 10TB buffer request." + }, + { + "left": "issue:4210", + "right": "issue:7000", + "accept": false, + "reason": "An attention_mask usage question and a PyTorch deprecation warning are unrelated." + }, + { + "left": "issue:6113", + "right": "issue:6689", + "accept": false, + "reason": "Both are about using/converting models, but one is a how-to question and the other is a specific SSD-1B conversion failure." + }, + { + "left": "issue:4376", + "right": "issue:4638", + "accept": true, + "reason": "Both report the same underlying SDXL textual inversion failure: loading textual inversion on StableDiffusionXL does not work and crashes/breaks." + }, + { + "left": "issue:10100", + "right": "issue:7219", + "accept": false, + "reason": "Separate feature requests for different models/upscalers: ConsisID support vs SUPIR Upscaler." + }, + { + "left": "issue:2646", + "right": "issue:6238", + "accept": false, + "reason": "Both mention VAE, but one is a tiled-VAE IndexError and the other is a general SDXL VAE issue; not enough evidence of the same bug." + }, + { + "left": "issue:3933", + "right": "issue:4593", + "accept": false, + "reason": "Graph compilation breaking on logging.info is unrelated to LoRA rank loading errors." + }, + { + "left": "issue:11907", + "right": "issue:9366", + "accept": false, + "reason": "Both involve schedulers, but the reported failures are in different pipelines and different conditions; too broad to be the same bug." + }, + { + "left": "issue:9141", + "right": "issue:9904", + "accept": false, + "reason": "One is missing FluxPipeline.from_single_file, the other is image-shape rounding in FluxPipeline; different changes." + }, + { + "left": "issue:1604", + "right": "issue:3191", + "accept": false, + "reason": "Broken lpw_stable_diffusion.py on a specific version vs Dreambooth+LoRA broken; different workflows and causes." + }, + { + "left": "issue:9063", + "right": "issue:9895", + "accept": false, + "reason": "Both are FluxPipeline issues, but one is tokenizer instantiation and the other is a device-mismatch regression after a commit." + }, + { + "left": "issue:1941", + "right": "issue:2177", + "accept": false, + "reason": "Unable to load a custom UnCLIP pipeline vs cannot load pretrained AutoencoderKL; different loading paths." + }, + { + "left": "issue:2761", + "right": "issue:709", + "accept": false, + "reason": "One asks for docs on UNet1DModel.extra_in_channels; the other is a generic forward docstring documentation task." + }, + { + "left": "issue:3978", + "right": "issue:6283", + "accept": false, + "reason": "MPS img2img failure vs ControlNet img2img strength=0 edge case; unrelated issues." + }, + { + "left": "issue:6632", + "right": "issue:8588", + "accept": false, + "reason": "A question about save_state in LoRA training scripts vs a missing SD3 conversion script; not the same bug or change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and the soft-edge verdicts are conservative. The one accepted pair, issue:4376 and issue:4638, is a well-supported duplicate-like match about SDXL textual inversion failing. The remaining pairs are reasonably rejected with distinct root causes or different 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": 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-50-3013", + "nodes": [ + "issue:10016", + "issue:10336", + "issue:10671", + "issue:1083", + "issue:11396", + "issue:11432", + "issue:1161", + "issue:12052", + "issue:12728", + "issue:13446", + "issue:1434", + "issue:1704", + "issue:2331", + "issue:2402", + "issue:2495", + "issue:3249", + "issue:3406", + "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:6666", + "issue:7294", + "issue:7415", + "issue:7574", + "issue:7575", + "issue:759", + "issue:8469", + "issue:8729", + "issue:8809", + "issue:9148", + "issue:9303", + "issue:9476", + "issue:9637", + "issue:9680", + "issue:9792" + ], + "soft_pairs": [ + "issue:1083|issue:2495", + "issue:7415|issue:9476", + "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" + ], + "prepared_review_unit_hash": "cba4b3945b9facb5a6a20ebd8fddf15a14132d381538182d3ed45a476e08baa9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "The soft pairs are only superficially similar; they cover different bugs, APIs, platforms, and feature requests. I would not merge any of them as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the set is heterogeneous, and the soft pairs do not describe the same underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:13446 is the strongest standalone representative: it is open, substantive, and describes a concrete from_pretrained trust-check problem with clear code impact.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1083", + "right": "issue:2495", + "accept": false, + "reason": "Different platforms and failures: FP16 ONNX output correctness vs MPS black-image rendering." + }, + { + "left": "issue:7415", + "right": "issue:9476", + "accept": false, + "reason": "Different components and symptoms: TPU bfloat16 AutoencoderKL behavior vs Flux LoRA validation dtype mismatch." + }, + { + "left": "issue:11432", + "right": "issue:13446", + "accept": false, + "reason": "One is a torch_dtype='auto' loading bug; the other is a custom_pipeline trust/security check." + }, + { + "left": "issue:1434", + "right": "issue:4674", + "accept": false, + "reason": "Both mention memory, but one is OOM on large upscales while the other is a width/height-switch memory leak." + }, + { + "left": "issue:8809", + "right": "issue:9637", + "accept": false, + "reason": "Different code paths: feedforward output inconsistency vs xFormers attention-mask/bfloat sequence-length failure." + }, + { + "left": "issue:10016", + "right": "issue:4410", + "accept": false, + "reason": "Both are model-load shape mismatches, but they involve different tensors, models, and loading paths." + }, + { + "left": "issue:6176", + "right": "issue:7574", + "accept": false, + "reason": "Different failure types: LoRA weight loading after training vs a KeyError on a missing checkpoint key." + }, + { + "left": "issue:6666", + "right": "issue:8729", + "accept": false, + "reason": "Both involve validation images, but the reported problems differ: black outputs vs an unexpected validation sample in a training script." + }, + { + "left": "issue:5368", + "right": "issue:5897", + "accept": false, + "reason": "Different mismatch classes: fp16 dtype mismatch in attention vs CPU/CUDA device mismatch during LoRA training." + }, + { + "left": "issue:4450", + "right": "issue:7294", + "accept": false, + "reason": "Both are training-related, but one is multi-text inversion not working and the other is a wrong text-encoder grad setting in Custom Diffusion." + }, + { + "left": "issue:6132", + "right": "issue:9303", + "accept": false, + "reason": "Feature request mismatch: adding LOADABLE_CLASSES vs adding a new VEnhancer model/pipeline." + }, + { + "left": "issue:12052", + "right": "issue:12728", + "accept": false, + "reason": "Same model family, but different concrete bugs: offloading device-mismatch multiply vs torch.compile/channels_last/Dynamo unsupported behavior." + }, + { + "left": "issue:5647", + "right": "issue:5799", + "accept": false, + "reason": "Different inpainting strength issues: a strength==1 bug vs a keyword-argument/API request for strength." + }, + { + "left": "issue:1161", + "right": "issue:759", + "accept": false, + "reason": "Unrelated tasks: Flax-to-PyTorch conversion vs optional full-model saving for textual inversion." + }, + { + "left": "issue:4724", + "right": "issue:6548", + "accept": false, + "reason": "Both touch img2img, but one is SDXL base checkpoint behavior and the other is RGBA inputs being misread as latents." + }, + { + "left": "issue:8469", + "right": "issue:9680", + "accept": false, + "reason": "Different pipelines and symptoms: corrupt IP-Adapter faces vs broken SDXL unconditional generation." + }, + { + "left": "issue:3249", + "right": "issue:6164", + "accept": false, + "reason": "Unrelated bugs: an invalid AttnUpBlock2D argument vs incorrect handling of latent output type." + }, + { + "left": "issue:10336", + "right": "issue:10671", + "accept": false, + "reason": "Different problem classes: Sana activation explosion/clamping vs a deterministic dtype/device getter issue in DiffusionPipeline." + }, + { + "left": "issue:11396", + "right": "issue:9792", + "accept": false, + "reason": "Conversion/help request vs dataset cache-mapping failure; no shared underlying bug." + }, + { + "left": "issue:1704", + "right": "issue:3406", + "accept": false, + "reason": "A question about attention blocks is not the same as a bug in only_cross_attention=True handling." + }, + { + "left": "issue:6460", + "right": "issue:9148", + "accept": false, + "reason": "Loading an existing inpainting model hanging is not the same as requesting a new Flux inpainting pipeline." + }, + { + "left": "issue:2402", + "right": "issue:4880", + "accept": false, + "reason": "Environment/runtime CUDA support error vs ControlNet input-type validation error." + }, + { + "left": "issue:2331", + "right": "issue:4232", + "accept": false, + "reason": "A new ControlNet pipeline request is not the same as training/inference code for instruct-pix2pix with controlnet conditioning." + }, + { + "left": "issue:6162", + "right": "issue:7575", + "accept": false, + "reason": "Both are shape errors, but they occur in different models/components 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": 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-50-3013", + "nodes": [ + "issue:10382", + "issue:1062", + "issue:10672", + "issue:10695", + "issue:11223", + "issue:11569", + "issue:12110", + "issue:12633", + "issue:12783", + "issue:13105", + "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:3467", + "issue:3647", + "issue:3689", + "issue:384", + "issue:3915", + "issue:3944", + "issue:4331", + "issue:460", + "issue:4692", + "issue:4912", + "issue:5000", + "issue:5402", + "issue:5518", + "issue:5574", + "issue:5575", + "issue:660", + "issue:6790", + "issue:7054", + "issue:7454", + "issue:7629", + "issue:8560", + "issue:861", + "issue:8613", + "issue:9216", + "issue:9264" + ], + "soft_pairs": [ + "issue:12783|issue:13105", + "issue:3915|issue:660", + "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" + ], + "prepared_review_unit_hash": "dcc6f1f8f5d4dd7ca2f204e6f07be128d40fea0c53d536ed09c54333fa655885", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33220, + "estimated_input_tokens": 8305, + "estimated_eval_tokens": 16866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly weak title-level similarities across different models, schedulers, or training features. I don\u2019t see any pair that is safely the same underlying bug/change, so all soft edges should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:12633 is the clearest standalone bug report here: it names a specific scheduler path, a precise mismatch condition (`timestep_spacing='linspace'`), and should be easy to triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12783", + "right": "issue:13105", + "accept": false, + "reason": "Both mention noisy/confetti output, but one is about Sage Attention sm90 and the other about a Wan model outputting noise; different failure contexts and likely different fixes." + }, + { + "left": "issue:3915", + "right": "issue:660", + "accept": false, + "reason": "`torch.compile` on text-to-video pipelines is unrelated to MPS fp16 image generation; shared wording is only about PyTorch/runtime settings." + }, + { + "left": "issue:2695", + "right": "issue:3467", + "accept": false, + "reason": "Both concern training workflows and validation/resume behavior, but one is Tensorboard validation failure in ControlNet training and the other is wrong resume step with gradient accumulation." + }, + { + "left": "issue:3689", + "right": "issue:7454", + "accept": false, + "reason": "Both are LoRA-related, but one asks how to unload weights after loading and the other is a generic feature request for LoRA support; not the same bug/change." + }, + { + "left": "issue:5574", + "right": "issue:5575", + "accept": false, + "reason": "Both are LoRA training questions, but one is about training part of UNet attention parameters and the other about hidden size for `transformer_in`; distinct configuration issues." + }, + { + "left": "issue:1931", + "right": "issue:2440", + "accept": false, + "reason": "Both involve float16-related failures, but one is a scalar type mismatch in Stable Diffusion 2 and the other is an inpainting model load error in float16; different code paths." + }, + { + "left": "issue:2266", + "right": "issue:460", + "accept": false, + "reason": "Both relate to performance/runtime on specific hardware setups, but one is sequential CPU offload slowdown and the other is ONNX runtime backend selection; not the same issue." + }, + { + "left": "issue:3045", + "right": "issue:3139", + "accept": false, + "reason": "One is about converting LoRA safetensors to diffusers, the other about using a safetensors file for generation; adjacent topics but different user needs." + }, + { + "left": "issue:6790", + "right": "issue:7054", + "accept": false, + "reason": "Both mention LoRA/LCM training state handling, but one is a missing key in a training state_dict and the other is input state_dict being emptied by `load_lora_weights`; different bugs." + }, + { + "left": "issue:1062", + "right": "issue:4331", + "accept": false, + "reason": "Both reference DreamBooth results, but one is a general inability to reproduce paper results and the other is a mismatch between two training scripts; not the same defect." + }, + { + "left": "issue:10382", + "right": "issue:12110", + "accept": false, + "reason": "One reports a VAE encoder return-type mismatch causing AttributeError; the other is a UNet1DModel GaussianFourier initialization bug. Different modules and failures." + }, + { + "left": "issue:10695", + "right": "issue:12633", + "accept": false, + "reason": "Both concern DDIM scheduler timestep handling, but one is DDIMInverseScheduler previous timestep calculation and the other is DDIMScheduler spacing mismatch; related area, not the same bug." + }, + { + "left": "issue:1566", + "right": "issue:3647", + "accept": false, + "reason": "Both touch DreamBooth training, but one crashes after saving with fp16 output and the other is training with DeepFloyd; different scenarios and failure modes." + }, + { + "left": "issue:2984", + "right": "issue:3087", + "accept": false, + "reason": "Latent Video Diffusion Models and LyCORIS support are separate feature requests with no shared concrete bug or code path." + }, + { + "left": "issue:3944", + "right": "issue:4912", + "accept": false, + "reason": "Both ask for more LoRA/customization support, but one is network rank customization in Dreambooth and the other is converting custom SDXL checkpoints; different requests." + }, + { + "left": "issue:9216", + "right": "issue:9264", + "accept": false, + "reason": "A general multi-model pipeline idea and a Flux inpainting feature request are unrelated feature requests." + }, + { + "left": "issue:2549", + "right": "issue:4692", + "accept": false, + "reason": "Both mention UNet2DConditionModel, but one says the model doesn't work for SD 2.0 and the other asks about memory usage; not the same bug." + }, + { + "left": "issue:1672", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one reports wrong image size after ckpt-to-diffusers conversion and the other cannot convert a ckpt model at all; different failure points." + }, + { + "left": "issue:11223", + "right": "issue:7629", + "accept": false, + "reason": "Both are OOM reports, but one is layer-wise upcasting with WAN and LoRAs, while the other is SVD on PyTorch 1.13.1 versus 2.x; different root causes." + }, + { + "left": "issue:1463", + "right": "issue:5402", + "accept": false, + "reason": "One is a missing `datasets` dependency, the other is an import error for `compute_snr`; both are import issues but unrelated packages/functions." + }, + { + "left": "issue:8560", + "right": "issue:8613", + "accept": false, + "reason": "Both are OOM reports, but one is SD3 training on a 4090 and the other is caption-column OOM during dataset processing; different stages and triggers." + }, + { + "left": "issue:10672", + "right": "issue:11569", + "accept": false, + "reason": "A pipeline callback feature request and a repo request for a specific model are unrelated enhancement requests." + }, + { + "left": "issue:1463", + "right": "issue:384", + "accept": false, + "reason": "Both are missing-module style errors, but one is absent `datasets` and the other is a `DiagonalGaussianDistribution` attribute error; different problems." + }, + { + "left": "issue:5000", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA-related regressions, but one is unfusing after fuse/unfuse and the other is a `ModuleList` missing `time`; not the same 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": 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-50-3013", + "nodes": [ + "issue:10147", + "issue:10887", + "issue:10893", + "issue:10987", + "issue:11010", + "issue:11374", + "issue:12149", + "issue:12575", + "issue:12666", + "issue:13067", + "issue:1909", + "issue:2806", + "issue:319", + "issue:322", + "issue:337", + "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:7243", + "issue:7312", + "issue:7417", + "issue:7428", + "issue:8482", + "issue:8543", + "issue:8565", + "issue:8880", + "issue:8918", + "issue:8994", + "issue:917", + "issue:9216", + "issue:9258", + "issue:9362", + "issue:938", + "issue:9393", + "issue:9665", + "issue:9732" + ], + "soft_pairs": [ + "issue:8565|issue:9362", + "issue:7243|issue:9216", + "issue:337|issue:917", + "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" + ], + "prepared_review_unit_hash": "0390b8ccd35da16fb178492bab8f56a29b5aa3b628966d6a6cfed5629a1b870f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33304, + "estimated_input_tokens": 8326, + "estimated_eval_tokens": 16908 + }, + "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, model-support asks, training bugs, and API issues. None of the soft pairs look like the same underlying bug/change, so all should be rejected. The closest representative issue is the broad multi-view generation feature request, but even that is only a loose thematic fit, not a true duplicate anchor.", + "confidence": 0.31, + "canonical_issue_reason": "Issue 10147 is the broadest open feature request in the set and best matches the general 'add model support' theme, though the cluster is not a true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "10147 is the most generic, representative open issue among mostly model-support requests; it can serve as a loose anchor even though the set is not a coherent duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8565", + "right": "issue:9362", + "accept": false, + "reason": "Both mention IndexError, but they refer to different pipelines and failure modes; not the same bug." + }, + { + "left": "issue:7243", + "right": "issue:9216", + "accept": false, + "reason": "Both are about new pipeline/model composition, but they are different feature requests and code changes." + }, + { + "left": "issue:337", + "right": "issue:917", + "accept": false, + "reason": "Both concern inpainting, but one is an img2img/text-guided bug and the other is an ONNX inpainting error; not the same issue." + }, + { + "left": "issue:5593", + "right": "issue:7417", + "accept": false, + "reason": "ControlNet AutoPipeline failure and a Mac LoRA-fuse test failure are unrelated code paths." + }, + { + "left": "issue:11010", + "right": "issue:12575", + "accept": false, + "reason": "A Flux/Chroma model-support request is not the same as an attention-backend check error." + }, + { + "left": "issue:1909", + "right": "issue:2806", + "accept": false, + "reason": "Generator handling in schedulers and pipeline printing/customization are different API problems." + }, + { + "left": "issue:10147", + "right": "issue:7223", + "accept": false, + "reason": "Both are feature requests for new generation capabilities, but MV-Adapter multi-view support and Latte video support are distinct model integrations." + }, + { + "left": "issue:10887", + "right": "issue:11374", + "accept": false, + "reason": "Importing StableDiffusionXLTrainer and CogVideoX ControlNet integration are unrelated." + }, + { + "left": "issue:10987", + "right": "issue:8482", + "accept": false, + "reason": "A general spatio-temporal model request and SD3 model support are different features." + }, + { + "left": "issue:4390", + "right": "issue:5166", + "accept": false, + "reason": "Missing requirements and a missing VQVAE scaling factor are different bugs." + }, + { + "left": "issue:5371", + "right": "issue:7428", + "accept": false, + "reason": "BLIP inpainting support and layer diffusion are different feature requests." + }, + { + "left": "issue:6073", + "right": "issue:9732", + "accept": false, + "reason": "Both involve DreamBooth guides, but one is a beginner setup error and the other is CUDA OOM during Flux training." + }, + { + "left": "issue:6287", + "right": "issue:8918", + "accept": false, + "reason": "Setup dependency cleanup and a broken SD3 dreambooth script are unrelated." + }, + { + "left": "issue:6685", + "right": "issue:8543", + "accept": false, + "reason": "Absolute output_dir path handling and SD3 gradient checkpointing are different bugs." + }, + { + "left": "issue:8880", + "right": "issue:9258", + "accept": false, + "reason": "Both are performance complaints, but they concern different workloads and environments." + }, + { + "left": "issue:6545", + "right": "issue:6586", + "accept": false, + "reason": "A training/inference modularization tracker and SDXL micro-conditioning tracker are different changes." + }, + { + "left": "issue:319", + "right": "issue:322", + "accept": false, + "reason": "Both are early diffusion model requests, but VQ-Diffusion and V-Diffusion are distinct model families." + }, + { + "left": "issue:5605", + "right": "issue:7312", + "accept": false, + "reason": "Per-image caption support for DreamBooth and AlignProp support are different training features." + }, + { + "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." + }, + { + "left": "issue:5931", + "right": "issue:8994", + "accept": false, + "reason": "Nondeterministic generation and generation steps stuck at 0 are different bugs." + }, + { + "left": "issue:10893", + "right": "issue:13067", + "accept": false, + "reason": "CogVideoX ControlNet integration and Anima support are separate model feature requests." + }, + { + "left": "issue:12149", + "right": "issue:12666", + "accept": false, + "reason": "Both mention release mismatch or missing pipelines, but they are different versioning/support problems." + }, + { + "left": "issue:4609", + "right": "issue:938", + "accept": false, + "reason": "A specific T2I-Adapter model request and a human motion diffusion model request are unrelated." + }, + { + "left": "issue:5966", + "right": "issue:6412", + "accept": false, + "reason": "ControlNet for SD2.1 and ControlNet annotators to ONNX are different parts of the stack and different 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": 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-50-3013", + "nodes": [ + "issue:10003", + "issue:10147", + "issue:10542", + "issue:10639", + "issue:1083", + "issue:11093", + "issue:11109", + "issue:11223", + "issue:11229", + "issue:11315", + "issue:11592", + "issue:12009", + "issue:12396", + "issue:12567", + "issue:12887", + "issue:13286", + "issue:1539", + "issue:2177", + "issue:2830", + 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they are not the same concrete change." + }, + { + "left": "issue:2177", + "right": "issue:3379", + "accept": false, + "reason": "Different loading failures: pretrained AutoencoderKL vs Dreambooth intermediate checkpoint loading." + }, + { + "left": "issue:9370", + "right": "issue:9496", + "accept": false, + "reason": "Both are SD3 forward-path errors, but one is a missing pooled_projection argument and the other is a different ControlNet forward failure." + }, + { + "left": "issue:11229", + "right": "issue:11315", + "accept": false, + "reason": "Both mention MPS, but NaNs from attention slicing and float64 rope breaking on MPS have different causes and fixes." + }, + { + "left": "issue:1083", + "right": "issue:1539", + "accept": false, + "reason": "An FP16 ONNX correctness issue and a conversion-script type-int bug are unrelated." + }, + { + "left": "issue:4969", + "right": "issue:656", + "accept": false, + "reason": "CrossAttention import failure and a Dreambooth training error on 16GB GPUs are different issues." + }, + { + "left": "issue:5455", + "right": "issue:7606", + "accept": false, + "reason": "A subprocess failure in a notebook and a deprecated LoRA processor warning are not the same bug." + }, + { + "left": "issue:9069", + "right": "issue:9298", + "accept": false, + "reason": "These are different type/storage problems: ndarray type mismatch vs missing Float8 storage object." + }, + { + "left": "issue:5689", + "right": "issue:9166", + "accept": false, + "reason": "Residual noise in DPM++ output and unexpected apply_overlay behavior are separate issues in different subsystems." + }, + { + "left": "issue:10542", + "right": "issue:11093", + "accept": false, + "reason": "Hunyuan Video batch-size breakage and a broken TorchAO example are unrelated." + }, + { + "left": "issue:5510", + "right": "issue:9225", + "accept": false, + "reason": "Half/float bias mismatch in SDXL InstructPix2Pix and RGBA latent size mismatch are different pipeline bugs." + }, + { + "left": "issue:10147", + "right": "issue:8790", + "accept": false, + "reason": "A multi-view generation feature request and SDXL TensorRT + IP Adapter support are unrelated requests." + }, + { + "left": "issue:10639", + "right": "issue:8641", + "accept": false, + "reason": "Support for Lumina-Image 2.0 and integrating Lumina-T2X are different model additions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10010", + "issue:10165", + "issue:10202", + "issue:10428", + "issue:1101", + "issue:11088", + "issue:11109", + "issue:11283", + "issue:11412", + "issue:11536", + "issue:11540", + "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:4210", + "issue:4331", + "issue:4349", + "issue:4631", + "issue:4871", + "issue:5002", + "issue:5171", + "issue:5661", + "issue:6242", + "issue:6423", + "issue:6446", + "issue:7219", + "issue:725", + "issue:8320", + "issue:8885", + "issue:9026", + "issue:9293", + "issue:9424", + "issue:9516", + "issue:9902", + "issue:9930" + ], + "soft_pairs": [ + "issue:11536|issue:11540", + "issue:4210|issue:5661", + "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" + ], + "prepared_review_unit_hash": "d2e84a8504782f4ba9b50662054e2c3d91ca4ad657111169f1329ac6425734c7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issue reports; the soft-similarity pairs do not look like true duplicates and span different pipelines, models, and failure modes.", + "confidence": 0.91, + "canonical_issue_reason": "If this cluster needs an anchor, issue 11536 is the clearest actionable bug report: it describes a concrete FluxPipeline regression with direct user impact and a focused symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11536 is the strongest representative issue here because it is specific, reproducible in scope, and more concrete than the surrounding feature requests or broad error reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11536", + "right": "issue:11540", + "accept": false, + "reason": "Different bugs: prompt adherence regression vs VAE slicing noise/support gap; separate code paths and different fixes." + }, + { + "left": "issue:4210", + "right": "issue:5661", + "accept": false, + "reason": "A usage question about attention_mask is unrelated to a missing PreTrainedTokenizer import error." + }, + { + "left": "issue:6446", + "right": "issue:8885", + "accept": false, + "reason": "Different problems in different examples: Colab loading of SD2.1 vs clip-retrieval/custom diffusion setup failure." + }, + { + "left": "issue:1101", + "right": "issue:725", + "accept": false, + "reason": "Scheduler feature request and memory-loading feature request are not the same underlying change." + }, + { + "left": "issue:10202", + "right": "issue:11109", + "accept": false, + "reason": "Both mention LoRA, but one is unloading Flux Control LoRA correctly and the other is a depth LoRA layer mismatch." + }, + { + "left": "issue:10010", + "right": "issue:11412", + "accept": false, + "reason": "Both are 404s, but they reference different model URLs/repos and different missing artifacts." + }, + { + "left": "issue:6242", + "right": "issue:8320", + "accept": false, + "reason": "One asks for training logs; the other is a from_single_file attribute error. No shared bug." + }, + { + "left": "issue:9424", + "right": "issue:9902", + "accept": false, + "reason": "Notebook regression and conda version pinning are unrelated." + }, + { + "left": "issue:11088", + "right": "issue:11709", + "accept": false, + "reason": "Different model-loading failures: wan2.1 GGUF deserialization vs CausVid LoRA key mismatch." + }, + { + "left": "issue:12110", + "right": "issue:13477", + "accept": false, + "reason": "UNet1DModel initialization bug and ErnieImage callback scope bug are unrelated code paths." + }, + { + "left": "issue:12071", + "right": "issue:9516", + "accept": false, + "reason": "Both involve Flux, but one reports changed transformer forward behavior while the other is missing joint_attention_kwargs plumbing." + }, + { + "left": "issue:2210", + "right": "issue:3944", + "accept": false, + "reason": "Both are LoRA-related, but one requests text-encoder training and the other requests customizable rank." + }, + { + "left": "issue:1672", + "right": "issue:1677", + "accept": false, + "reason": "Image-size regression after ckpt conversion is unrelated to a wrong argument type when calling the pipeline." + }, + { + "left": "issue:1934", + "right": "issue:3441", + "accept": false, + "reason": "Both are memory-related, but they describe different causes and settings: cpu_offload VRAM vs PyTorch 2 VRAM usage." + }, + { + "left": "issue:2392", + "right": "issue:4349", + "accept": false, + "reason": "Similar API surface, but different failures in different pipelines: prompt_embeds validation vs missing text_encoder in upscale." + }, + { + "left": "issue:10165", + "right": "issue:9930", + "accept": false, + "reason": "Seed preservation on LoRA scale change is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:3073", + "right": "issue:7219", + "accept": false, + "reason": "Separate feature requests for different model families: consistency models vs SUPIR upscaler." + }, + { + "left": "issue:4005", + "right": "issue:6423", + "accept": false, + "reason": "Inpaint aspect-ratio bug and inability to reproduce fill50k results are not the same issue." + }, + { + "left": "issue:11283", + "right": "issue:11779", + "accept": false, + "reason": "Both are Wan-related, but one is header deserialization and the other is incorrect mask padding in VACE." + }, + { + "left": "issue:10428", + "right": "issue:12653", + "accept": false, + "reason": "Hardware/backend issues in different layers: Ascend NPU inference error vs float64 rope reference breaking MPS/NPU." + }, + { + "left": "issue:4871", + "right": "issue:5171", + "accept": false, + "reason": "A from_single_file usage question is unrelated to an unexpected safety_checker constructor argument error." + }, + { + "left": "issue:9026", + "right": "issue:9293", + "accept": false, + "reason": "Different dependency/runtime failures: an unexpected force_hook kwarg vs missing Float8 storage object." + }, + { + "left": "issue:4631", + "right": "issue:5002", + "accept": false, + "reason": "Both mention Karras/scheduler behavior, but one is a runtime scalar conversion bug and the other is a missing API argument in different schedulers." + }, + { + "left": "issue:1185", + "right": "issue:4331", + "accept": false, + "reason": "Dreambooth reproducibility concerns are broader and different from inconsistent results between two training 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": 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-50-3013", + "nodes": [ + "issue:10057", + "issue:10302", + "issue:10542", + "issue:10590", + "issue:10672", + "issue:10873", + "issue:11137", + 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"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:13176|issue:13506", + "issue:3884|issue:8594", + "issue:4002|issue:4005", + "issue:4354|issue:5390", + "issue:10672|issue:12695" + ], + "prepared_review_unit_hash": "2713251b1df94444da94cca216d583309bdd43e2cff21d98c4e1f9927735c130", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33656, + "estimated_input_tokens": 8414, + "estimated_eval_tokens": 17084 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a tight duplicate set; it mixes unrelated pipeline bugs, dtype/load failures, feature requests, and test/infrastructure issues. Most soft edges are only superficially similar by model family or shared keywords, not the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole set; if one must be picked, issue:7389 is the broadest representative of the recurring pipeline-load/from_single_file failure theme, but the cluster is too heterogeneous for a strong canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue:7389 is the best of a weak set because it is a concrete, user-facing pipeline error and closest to the broadest repeated theme here (loading/dtype/runtime failures).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:7569", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and a Mac FreeU test failure are unrelated code paths and symptoms." + }, + { + "left": "issue:9731", + "right": "issue:9768", + "accept": false, + "reason": "Training guidance for Playground2.5 and a torch/CuDNN SDPA NaN runtime bug are different problems." + }, + { + "left": "issue:6132", + "right": "issue:7219", + "accept": false, + "reason": "A loadable-classes proposal and a SUPIR upscaler feature request are not the same change." + }, + { + "left": "issue:10057", + "right": "issue:10873", + "accept": false, + "reason": "FluxTransformer2DModel token handling in from_single_file and a SanaPipeline issue are distinct model-specific bugs." + }, + { + "left": "issue:11275", + "right": "issue:11584", + "accept": false, + "reason": "VAE NoneType addition error and torch.compile/group offloading incompatibility are different failures." + }, + { + "left": "issue:1158", + "right": "issue:1524", + "accept": false, + "reason": "Test interference in pytest config and poor textual inversion training quality are unrelated." + }, + { + "left": "issue:10302", + "right": "issue:8989", + "accept": false, + "reason": "FP8 inference noise without CPU offloading and sequential offloading issues are separate optimization bugs." + }, + { + "left": "issue:6079", + "right": "issue:7389", + "accept": false, + "reason": "Both are load/dtype-flavored errors, but one is a Half-vs-Float mismatch and the other is a from_single_file pipeline error; not the same concrete bug." + }, + { + "left": "issue:7751", + "right": "issue:8939", + "accept": false, + "reason": "Animatediff conversion errors and tokenizer loading OSError are unrelated." + }, + { + "left": "issue:10590", + "right": "issue:11137", + "accept": false, + "reason": "Sana tiled VAE BF16 decode failure and Latte dtype mismatch are different pipelines and error sites." + }, + { + "left": "issue:12239", + "right": "issue:13191", + "accept": false, + "reason": "InfiniteTalk support and Elastic-DiT support are separate feature requests, not one mergeable change." + }, + { + "left": "issue:1263", + "right": "issue:305", + "accept": false, + "reason": "A missing StableDiffusionSafetyChecker import and a generic diffusers import error have different root causes." + }, + { + "left": "issue:3537", + "right": "issue:6141", + "accept": false, + "reason": "A ControlNet conversion script and extra ControlNet parameters are different features." + }, + { + "left": "issue:5371", + "right": "issue:6331", + "accept": false, + "reason": "BLIP inpainting support and SAG for inpainting are distinct feature requests." + }, + { + "left": "issue:8323", + "right": "issue:9111", + "accept": false, + "reason": "Scheduler file recognition and a missing scheduler attribute on BitDiffusion are not the same bug." + }, + { + "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 mention Qwen image batch behavior, but one is a batch inference feature/issue and the other is a specific Ulysses SP runtime failure; not the same concrete fix." + }, + { + "left": "issue:6055", + "right": "issue:7210", + "accept": false, + "reason": "Accelerate-related errors and missing named_parameters on StableDiffusionXLPipeline are different integration issues." + }, + { + "left": "issue:4061", + "right": "issue:5328", + "accept": false, + "reason": "SDXL LoRA loading error and general Civitai LoRA failures are too broad and not shown to be the same bug." + }, + { + "left": "issue:13176", + "right": "issue:13506", + "accept": false, + "reason": "UNet attention error and sage attention ring-attention failure are different attention implementations/problems." + }, + { + "left": "issue:3884", + "right": "issue:8594", + "accept": false, + "reason": "train_text_to_image_lora.py error and tokenizer_one UnboundLocalError are distinct training script bugs." + }, + { + "left": "issue:4002", + "right": "issue:4005", + "accept": false, + "reason": "Missing from_single_file support and inpaint aspect-ratio behavior are unrelated." + }, + { + "left": "issue:4354", + "right": "issue:5390", + "accept": false, + "reason": "Pipeline type mismatch from from_single_file and unwanted text-encoder download with local_files_only are different issues." + }, + { + "left": "issue:10672", + "right": "issue:12695", + "accept": false, + "reason": "callback_on_step_end support and Hunyuan v1.5 support are separate 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": 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-50-3013", + "nodes": [ + "issue:10111", + "issue:10302", + "issue:10315", + "issue:10591", + "issue:10674", + "issue:11033", + "issue:12022", + "issue:12085", + "issue:12359", + "issue:12575", + "issue:12605", + "issue:13104", + "issue:2364", + "issue:2392", + "issue:2737", + "issue:2769", + "issue:3064", + "issue:3580", + "issue:3585", + "issue:4014", + "issue:4043", + "issue:4122", + "issue:4453", + "issue:4496", + "issue:4646", + "issue:5028", + "issue:5079", + "issue:5233", + "issue:5433", + "issue:5465", + "issue:5540", + "issue:5951", + "issue:6486", + "issue:6497", + "issue:7056", + "issue:7408", + "issue:843", + "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:12359|issue:12575", + "issue:2737|issue:5079", + "issue:3064|issue:3585", + "issue:4496|issue:843", + "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" + ], + "prepared_review_unit_hash": "8451a17120db01b1a01760c9a461f275faff27aa1c85b6e8480accceac0a67a2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "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": "The soft pairs are mostly broad thematic matches at best, but not true duplicates: they span different models, pipelines, training scripts, and failure modes. I would reject all soft edges and treat this as a heterogeneous set rather than one dedupe cluster.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10674 is the closest representative only because it is a concrete FluxPipeline runtime/loading bug, but the overall set is too heterogeneous to have a real canonical issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12359", + "right": "issue:12575", + "accept": false, + "reason": "One is a Chroma docs bug about guidance_scale; the other is a Chroma attention-backend runtime error. Different problem and fix." + }, + { + "left": "issue:2737", + "right": "issue:5079", + "accept": false, + "reason": "Scheduler CLIP guidance support and LoRA loading support are unrelated features/issues." + }, + { + "left": "issue:3064", + "right": "issue:3585", + "accept": false, + "reason": "Both mention LoRA, but one is about loading .safetensors LoRAs and the other about a synthesized LoRA model failing. Different bug paths." + }, + { + "left": "issue:4496", + "right": "issue:843", + "accept": false, + "reason": "Prompt fusion feature request is unrelated to prompt syntax documentation." + }, + { + "left": "issue:4646", + "right": "issue:8604", + "accept": false, + "reason": "ControlNet ONNX conversion failure vs T5 fp16 corruption are different code paths and failure modes." + }, + { + "left": "issue:5465", + "right": "issue:9001", + "accept": false, + "reason": "DiffEdit inpaint_strength behavior and Auraflow aspect ratio handling are unrelated." + }, + { + "left": "issue:12605", + "right": "issue:9904", + "accept": false, + "reason": "Attention-mask backend bug and Flux image-shape rounding are distinct issues." + }, + { + "left": "issue:10111", + "right": "issue:10591", + "accept": false, + "reason": "Both are general bug reports, but FLUX pipeline bugs and SD3 LoRA training-script bugs are not the same underlying issue." + }, + { + "left": "issue:10302", + "right": "issue:9514", + "accept": false, + "reason": "FP8 inference noise without CPU offloading is not the same as LoRA loading after FP8 quantization." + }, + { + "left": "issue:5540", + "right": "issue:9170", + "accept": false, + "reason": "Both are memory-related, but generic OOM and a specific SDXL+ControlNet memory requirement report are not duplicates." + }, + { + "left": "issue:6486", + "right": "issue:8708", + "accept": false, + "reason": "Dreambooth embedding retraction bug and missing SD3 shift_factor in examples are unrelated training issues." + }, + { + "left": "issue:8535", + "right": "issue:8593", + "accept": false, + "reason": "xFormers attention enablement and bfloat16 CPU noise are different SD3 problems." + }, + { + "left": "issue:10674", + "right": "issue:12085", + "accept": false, + "reason": "Both involve GGUF loading, but they affect different model classes and likely different loader paths; too broad to merge as one bug." + }, + { + "left": "issue:4122", + "right": "issue:5233", + "accept": false, + "reason": "Timesteps mismatch in SDXL pipelines and callback step-value bug are related only at a very high level." + }, + { + "left": "issue:9063", + "right": "issue:9904", + "accept": false, + "reason": "Tokenizer instantiation failure and image-shape rounding are unrelated FluxPipeline issues." + }, + { + "left": "issue:2364", + "right": "issue:5951", + "accept": false, + "reason": "Unable to run training script is far too vague and does not match the PixArt training issue specifically." + }, + { + "left": "issue:9163", + "right": "issue:9936", + "accept": false, + "reason": "Both are Flux training issues, but tensor bugs and NCCL timeout in multigpu training are not the same concrete failure." + }, + { + "left": "issue:11033", + "right": "issue:13104", + "accept": false, + "reason": "SD1.5 from_single_file loading failure and a logger-not-defined error are unrelated." + }, + { + "left": "issue:10315", + "right": "issue:7056", + "accept": false, + "reason": "CogVideo training error and SDXL LoRA fine-tuning/train_text_encoder error are different models and code paths." + }, + { + "left": "issue:12022", + "right": "issue:12605", + "accept": false, + "reason": "Latest flash-attention interface incompatibility and attn_mask being ignored are separate attention backend bugs." + }, + { + "left": "issue:4014", + "right": "issue:5433", + "accept": false, + "reason": "Both mention image artifacts, but watermark artifacts and DPM++/no-refiner artifacts are different causes." + }, + { + "left": "issue:2769", + "right": "issue:4453", + "accept": false, + "reason": "Round-tripping ckpt/safetensors conversion and converting SDXL LoRA to safetensors are different workflows." + }, + { + "left": "issue:3580", + "right": "issue:5028", + "accept": false, + "reason": "XFormers TypeError and hacked DownBlock scale-arg TypeError are different runtime errors." + }, + { + "left": "issue:2392", + "right": "issue:4043", + "accept": false, + "reason": "Img2Img prompt_embeds validation and SDXL pooled_prompt_embeds requirement are related API areas but not the same bug." + }, + { + "left": "issue:6497", + "right": "issue:7408", + "accept": false, + "reason": "DragNUWA and FRESCO are unrelated pipeline/model 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:1037", + "issue:10512", + "issue:11005", + "issue:1101", + "issue:11581", + "issue:12221", + "issue:12239", + "issue:13191", + "issue:1358", + "issue:1962", + "issue:2202", + "issue:2440", + "issue:2905", + "issue:3040", + "issue:3817", + "issue:4061", + "issue:4471", + "issue:4736", + "issue:4752", + "issue:5002", + "issue:5043", + "issue:5162", + "issue:5168", + "issue:5256", + "issue:5285", + "issue:5325", + "issue:539", + "issue:5515", + "issue:6094", + "issue:6486", + "issue:660", + "issue:6749", + "issue:6774", + "issue:6906", + "issue:7300", + "issue:7311", + "issue:7600", + "issue:7611", + "issue:7970", + "issue:8323", + "issue:8410", + "issue:8588", + "issue:8894", + "issue:9210", + "issue:9293", + "issue:9420" + ], + "soft_pairs": [ + "issue:1962|issue:3817", + "issue:2202|issue:5168", + "issue:6486|issue:7600", + "issue:7300|issue:7970", + "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" + ], + "prepared_review_unit_hash": "ce327b187f9c4d94f93e81a7f855bacf08eb825f789c9fcf21fa48edbfc9eeff", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33300, + "estimated_input_tokens": 8325, + "estimated_eval_tokens": 16906 + }, + "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, training/runtime bugs, and documentation/support items across many different pipelines and model families. All soft edges are false positives.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits the cluster because the items are semantically diverse and do not describe the same underlying bug or feature request.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must stand in as a loose representative, issue 10147 is the broadest current open feature request, but it still does not cover the rest of the cluster well.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1962", + "right": "issue:3817", + "accept": false, + "reason": "Generic video generation with Stable Diffusion vs editable dance generation from music; different use cases and code paths." + }, + { + "left": "issue:2202", + "right": "issue:5168", + "accept": false, + "reason": "OpenVINO pipeline support and ControlNet-XS support are separate subsystem/model feature requests." + }, + { + "left": "issue:6486", + "right": "issue:7600", + "accept": false, + "reason": "Double embedding retraction in DreamBooth advanced vs not applying accelerator.accumulate in text_encoder; distinct training bugs." + }, + { + "left": "issue:7300", + "right": "issue:7970", + "accept": false, + "reason": "Both mention memory, but one is about set_default_attn_processor() behavior and the other is CPU offload RAM growth; different bugs." + }, + { + "left": "issue:4736", + "right": "issue:9210", + "accept": false, + "reason": "Train LoRA OOM/invalid-cast failure vs dataset image_column validation error; unrelated failure modes." + }, + { + "left": "issue:1101", + "right": "issue:5256", + "accept": false, + "reason": "Scheduler feature addition vs Insta-Flow training support; separate changes." + }, + { + "left": "issue:4061", + "right": "issue:4471", + "accept": false, + "reason": "Both are SDXL LoRA load problems, but they target different pipeline APIs and specific load failures." + }, + { + "left": "issue:5002", + "right": "issue:539", + "accept": false, + "reason": "Missing scheduler arguments vs snapshot_download allow_patterns keyword error; unrelated API compatibility issues." + }, + { + "left": "issue:5515", + "right": "issue:8323", + "accept": false, + "reason": "LCM pipeline initialization failure without scheduler vs scheduler file recognition error; different underlying problems." + }, + { + "left": "issue:2440", + "right": "issue:660", + "accept": false, + "reason": "Inpainting float16 load error vs MPS fp16 revision behavior; different environments and failure causes." + }, + { + "left": "issue:3040", + "right": "issue:6094", + "accept": false, + "reason": "Doc copy-paste AttributeError vs TextToVideoZero regression after a version update; unrelated issues." + }, + { + "left": "issue:4752", + "right": "issue:5325", + "accept": false, + "reason": "SDXL dtype mismatch in pipeline code vs packaging type information distribution; no shared bug." + }, + { + "left": "issue:11581", + "right": "issue:9293", + "accept": false, + "reason": "FLUX IP-Adapter dtype init error vs missing Float8 storage object; both dtype-related but different components and code paths." + }, + { + "left": "issue:7311", + "right": "issue:8894", + "accept": false, + "reason": "Checkpoint save failure in train_text_to_image_sdxl.py vs a separate training script error after a new commit." + }, + { + "left": "issue:6774", + "right": "issue:7611", + "accept": false, + "reason": "AttentionProcessor mixed-precision mismatch vs UNet tensor size mismatch; distinct runtime errors." + }, + { + "left": "issue:10100", + "right": "issue:8410", + "accept": false, + "reason": "ConsisID support and native TextDiffuser support are different model integrations." + }, + { + "left": "issue:10147", + "right": "issue:12239", + "accept": false, + "reason": "MV-Adapter multi-view generation vs InfiniteTalk support; separate feature requests." + }, + { + "left": "issue:1037", + "right": "issue:2905", + "accept": false, + "reason": "Community pipeline for Stable Diffusion Telephone vs Karras sigmas scheduler support; unrelated additions." + }, + { + "left": "issue:10512", + "right": "issue:9420", + "accept": false, + "reason": "Quanto Flux LoRA load failure vs transformer load failure after FLUX+Hyper-SD save; related to FLUX, but different concrete bugs." + }, + { + "left": "issue:11005", + "right": "issue:8588", + "accept": false, + "reason": "Docstring/default mismatch in pipeline_wan_i2v.py vs missing SD3 conversion script; unrelated." + }, + { + "left": "issue:12221", + "right": "issue:13191", + "accept": false, + "reason": "DiffSynth ControlNet support vs Elastic-DiT support; different model support requests." + }, + { + "left": "issue:1358", + "right": "issue:5162", + "accept": false, + "reason": "Safetensors support in the library vs a conversion script to safetensors; related topic, but not the same issue." + }, + { + "left": "issue:5043", + "right": "issue:5285", + "accept": false, + "reason": "W\u00fcrstchen LoRA finetuning vs Japanese docs translation; entirely different scopes." + }, + { + "left": "issue:6749", + "right": "issue:6906", + "accept": false, + "reason": "InstantID community example reproducibility vs broken LoRA DreamBooth example; different examples and 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": 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-50-3013", + "nodes": [ + "issue:10412", + "issue:10636", + "issue:10672", + "issue:11225", + "issue:11555", + "issue:11839", + "issue:12107", + "issue:1214", + "issue:12470", + "issue:12505", + "issue:13067", + "issue:1405", + "issue:1655", + "issue:1791", + "issue:1801", + "issue:1896", + "issue:1949", + "issue:2340", + "issue:2392", + "issue:2466", + "issue:2728", + "issue:2947", + "issue:3698", + "issue:3767", + "issue:3799", + "issue:4492", + "issue:4534", + "issue:457", + "issue:5368", + "issue:5395", + "issue:541", + "issue:5502", + "issue:5595", + "issue:6094", + "issue:6333", + "issue:6363", + "issue:6452", + "issue:646", + "issue:7606", + "issue:8373", + "issue:8482", + "issue:851", + "issue:8552", + "issue:8604", + "issue:8744", + "issue:8780", + "issue:8939", + "issue:9799" + ], + "soft_pairs": [ + "issue:5395|issue:6333", + "issue:1405|issue:2340", + "issue:8744|issue:8939", + "issue:10412|issue:11225", + "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" + ], + "prepared_review_unit_hash": "8a4af21d276fa053c960aa9898d16d18803a9c841864d78335b9d3240e6e33a8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly a heterogeneous set of unrelated bugs/features across different pipelines and training paths. I don\u2019t see any soft pair that clearly describes the same underlying issue, so all soft edges should be rejected.", + "confidence": 0.79, + "canonical_issue_reason": "There is no strong duplicate cluster here; if one issue must be used as an anchor, issue 10412 is the most detailed and self-contained report, but it does not subsume the others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10412 is the strongest standalone issue in the set because it has the clearest problem statement and most context; the rest are mostly unrelated or too broad to serve as a better canonical anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5395", + "right": "issue:6333", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one is about combining civitai LoRAs and the other about finetuning a pretrained LoRA; different problems and code paths." + }, + { + "left": "issue:1405", + "right": "issue:2340", + "accept": false, + "reason": "Attention slicing regression and a safety-checker failure are unrelated bugs; same project area, not the same issue." + }, + { + "left": "issue:8744", + "right": "issue:8939", + "accept": false, + "reason": "Loading from single-file training support and a tokenizer-loading error for SD3 are different failures." + }, + { + "left": "issue:10412", + "right": "issue:11225", + "accept": false, + "reason": "Both are OOM reports, but they concern different training examples, models, and triggering steps." + }, + { + "left": "issue:1791", + "right": "issue:457", + "accept": false, + "reason": "Both mention MPS, but one is UnCLIP unsupported on Mac/MPS and the other is image artifact corruption; not the same bug." + }, + { + "left": "issue:1896", + "right": "issue:2392", + "accept": false, + "reason": "Different runtime errors in different pipelines: one is a size/type error in CLIP-guided SD, the other is prompt_embeds validation in img2img." + }, + { + "left": "issue:3799", + "right": "issue:8373", + "accept": false, + "reason": "Type inference for `from_pretrained` and an incorrect error message are unrelated." + }, + { + "left": "issue:5595", + "right": "issue:6363", + "accept": false, + "reason": "One is an image-size divisibility validation error; the other is an fp16 gradient unscale failure during LoRA training." + }, + { + "left": "issue:6094", + "right": "issue:8552", + "accept": false, + "reason": "Both involve TextToVideoZeroPipeline, but one is a version regression and the other is a segmentation fault during inference; too different to merge." + }, + { + "left": "issue:1655", + "right": "issue:3767", + "accept": false, + "reason": "Pipeline initialization failure and FrozenDict mutability semantics are unrelated." + }, + { + "left": "issue:4492", + "right": "issue:4534", + "accept": false, + "reason": "A JSON/boolean NameError and an SDXL DreamBooth MPS validation crash are different bugs." + }, + { + "left": "issue:11839", + "right": "issue:12107", + "accept": false, + "reason": "GGUF loading for FluxKontextPipeline and `accelerator.init_trackers` with custom objects are unrelated." + }, + { + "left": "issue:1949", + "right": "issue:2466", + "accept": false, + "reason": "DreamBooth tutorial training errors and checkpoint limit enforcement are different example-script issues." + }, + { + "left": "issue:10672", + "right": "issue:8482", + "accept": false, + "reason": "Callback support for pipelines and SD3-medium model support are not the same change or bug." + }, + { + "left": "issue:12470", + "right": "issue:13067", + "accept": false, + "reason": "Quantizer API additions and adding Anima model support are unrelated feature requests." + }, + { + "left": "issue:1801", + "right": "issue:646", + "accept": false, + "reason": "`getattr` misuse and a missing `set_format` method on PNDMScheduler are different attribute errors." + }, + { + "left": "issue:3698", + "right": "issue:541", + "accept": false, + "reason": "Converting an inpainting model and running Diffusers on SageMaker are unrelated requests." + }, + { + "left": "issue:5368", + "right": "issue:5502", + "accept": false, + "reason": "Both mention fp16, but one is a dtype mismatch in attention and the other is lack of fp16 support in a training script." + }, + { + "left": "issue:6452", + "right": "issue:8780", + "accept": false, + "reason": "Adding masked image latents to ControlNet inpaint and a generic model/input dtype mismatch are not the same issue." + }, + { + "left": "issue:10636", + "right": "issue:8604", + "accept": false, + "reason": "A bug in `value_guided_sampling.py` and corrupted output from converting the T5 encoder to float16 are unrelated." + }, + { + "left": "issue:1214", + "right": "issue:851", + "accept": false, + "reason": "Both are half-precision/dtype complaints, but the reports are too vague and likely stem from different code paths to treat as duplicates." + }, + { + "left": "issue:2728", + "right": "issue:2947", + "accept": false, + "reason": "Cannot load safetensors in `from_pretrained` and missing `load_attn_procs` are distinct model-loading/API issues." + }, + { + "left": "issue:7606", + "right": "issue:9799", + "accept": false, + "reason": "A deprecated LoRA processor in Kandinsky 2.2 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 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10178", + "issue:10350", + "issue:10382", + "issue:10512", + "issue:10887", + "issue:10896", + "issue:10954", + "issue:10986", + "issue:11569", + "issue:11687", + "issue:11779", + "issue:11922", + "issue:12108", + "issue:12575", + "issue:12624", + "issue:12738", + "issue:13277", + "issue:1358", + "issue:2195", + "issue:2266", + "issue:2838", + "issue:2883", + "issue:3960", + "issue:4014", + "issue:4269", + "issue:4406", + "issue:4790", + "issue:5538", + "issue:5628", + "issue:5731", + "issue:5824", + "issue:5849", + "issue:6016", + "issue:6374", + "issue:6513", + "issue:6570", + "issue:6866", + "issue:7267", + "issue:7640", + "issue:7936", + "issue:8577", + "issue:8624", + "issue:8939", + "issue:8968", + "issue:9101", + "issue:9680", + "issue:9690" + ], + "soft_pairs": [ + "issue:12108|issue:12575", + "issue:10350|issue:10382", + "issue:10178|issue:6570", + "issue:10887|issue:11569", + "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" + ], + "prepared_review_unit_hash": "e3a9ff55bc6ae657bc6cf82d94f64eede679eda4ff85755b879a8425caefa803", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "This cluster is mostly heterogeneous: feature requests, unrelated pipeline bugs, and a few load/shape/runtime errors. There is no cluster-wide duplicate set; the only clear duplicate-looking pair is the safetensors HeaderTooLarge LoRA reports.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue cleanly represents the whole cluster because the items span many unrelated bugs/features. If one issue must be chosen, issue:4406 is the best canonical for the only true duplicate pair because it states the exact safetensors HeaderTooLarge failure most explicitly.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4406 is the strongest issue candidate: it is concrete, specific, and matches another near-identical report (issue:3960) about the same LoRA safetensors HeaderTooLarge error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12108", + "right": "issue:12575", + "accept": false, + "reason": "Different failures in Chroma/Qwen image pipelines: flow-matching scheduler behavior vs attention-backend checks." + }, + { + "left": "issue:10350", + "right": "issue:10382", + "accept": false, + "reason": "Both are VAE-related, but one is decoder memory use and the other is an encoder return-type AttributeError." + }, + { + "left": "issue:10178", + "right": "issue:6570", + "accept": false, + "reason": "Different tensor-shape bugs in different modules/models; only superficial size-mismatch similarity." + }, + { + "left": "issue:10887", + "right": "issue:11569", + "accept": false, + "reason": "Import error for StableDiffusionXLTrainer vs a feature request for a model repo; unrelated." + }, + { + "left": "issue:11687", + "right": "issue:12624", + "accept": false, + "reason": "Docs/framework addition request vs a new pipeline parameter request; not the same bug or change." + }, + { + "left": "issue:5849", + "right": "issue:6374", + "accept": false, + "reason": "Training-script argparse TypeError vs LoRA weight loading question; different code paths and symptoms." + }, + { + "left": "issue:1358", + "right": "issue:2838", + "accept": false, + "reason": "Generic safetensors support request vs a ControlNet pipeline feature request; unrelated." + }, + { + "left": "issue:7267", + "right": "issue:9680", + "accept": false, + "reason": "Broken local data loading in train_controlnet.py vs SDXL unconditional generation bug; different problems." + }, + { + "left": "issue:4790", + "right": "issue:6016", + "accept": false, + "reason": "Both involve conversion utilities, but one is round-trip file compatibility and the other is a torch.Size formatting/error case." + }, + { + "left": "issue:10986", + "right": "issue:11779", + "accept": false, + "reason": "MPS complex-dtype conversion error in transformer pipeline vs incorrect mask padding in Wan VACE; different pipelines and bugs." + }, + { + "left": "issue:7936", + "right": "issue:8968", + "accept": false, + "reason": "Invalid JSON/header parsing for a local safetensors file vs general pipeline safetensors loading support." + }, + { + "left": "issue:2195", + "right": "issue:2883", + "accept": false, + "reason": "Both are video-related feature requests, but they target different pipeline additions and are not the same change." + }, + { + "left": "issue:2266", + "right": "issue:4269", + "accept": false, + "reason": "Sequential CPU offload slowdown vs ControlNet input-validation TypeError; different concrete issues." + }, + { + "left": "issue:5538", + "right": "issue:5731", + "accept": false, + "reason": "Upscale pipeline latent-usage question vs missing trainable logvar in AutoencoderKL decoder; unrelated code paths." + }, + { + "left": "issue:8624", + "right": "issue:8939", + "accept": false, + "reason": "Undefined CUDA symbol in Stable Diffusion 3 setup vs tokenizer-loading OSError; different runtime failures." + }, + { + "left": "issue:12738", + "right": "issue:13277", + "accept": false, + "reason": "Both mention batching, but one is ZImage batch-size assertion and the other is QwenImage Ulysses SP batch handling." + }, + { + "left": "issue:4014", + "right": "issue:5824", + "accept": false, + "reason": "SDXL watermark artifacts vs incorrect text_encoder_projection_dim default; unrelated bugs." + }, + { + "left": "issue:5628", + "right": "issue:7640", + "accept": false, + "reason": "Scheduler denoising range offset vs from_single_file dimension runtime error; different root causes." + }, + { + "left": "issue:10100", + "right": "issue:10896", + "accept": false, + "reason": "Two different model-support requests (ConsisID vs SkyReels-A1); not the same feature." + }, + { + "left": "issue:10954", + "right": "issue:11922", + "accept": false, + "reason": "FLUX LoRA loading failure vs FLUX.1-Fill-dev runtime problem; same family name but different concrete bugs." + }, + { + "left": "issue:6513", + "right": "issue:6866", + "accept": false, + "reason": "Different adapter integrations: T2IAdapter model support vs IP-Adapter support for SDXL ControlNet inpaint." + }, + { + "left": "issue:8577", + "right": "issue:9101", + "accept": false, + "reason": "Differential diffusion feature for SD3 vs an InstructPix2Pix training script for SD3; different work items." + }, + { + "left": "issue:3960", + "right": "issue:4406", + "accept": true, + "reason": "Both report the same safetensors HeaderTooLarge problem while loading a LoRA; 4406 is the clearer description." + }, + { + "left": "issue:10512", + "right": "issue:9690", + "accept": false, + "reason": "LoRA loading failure in Flux/Quanto vs FP8 example-code cleanup; unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative. The one accepted soft-edge pair, issue:3960 and issue:4406, is supported by the matching safetensors HeaderTooLarge LoRA reports. The remaining pair verdicts are appropriately non-committal/negative given the evidence. No overstatement detected." + }, + "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-50-3013", + "nodes": [ + "issue:10336", + "issue:10542", + "issue:10639", + "issue:11519", + "issue:1181", + "issue:1197", + "issue:1205", + "issue:12060", + "issue:12239", + "issue:13430", + "issue:1350", + "issue:1440", + "issue:1594", + "issue:193", + "issue:1962", + "issue:2210", + "issue:2332", + "issue:3087", + "issue:318", + "issue:3325", + "issue:3444", + "issue:3698", + "issue:3891", + "issue:3975", + "issue:4014", + "issue:4232", + "issue:459", + "issue:4674", + "issue:4788", + "issue:4949", + "issue:4964", + "issue:5160", + "issue:5687", + "issue:5710", + "issue:5886", + "issue:5960", + "issue:6136", + "issue:6935", + "issue:7569", + "issue:7661", + "issue:7782", + "issue:7882", + "issue:8504", + "issue:8723", + "issue:9101", + "issue:9450", + "issue:9599", + "issue:9680" + ], + "soft_pairs": [ + "issue:1197|issue:459", + "issue:1205|issue:1440", + "issue:12060|issue:9599", + "issue:193|issue:3975", + "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" + ], + "prepared_review_unit_hash": "cb1ccf974fcd160bf941fb2d7d55ac5fcdf55ccb9febcffd67704bf1b56c5532", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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": "This cluster is heterogeneous: it mixes unrelated model-support requests, training/inference feature asks, and distinct bug reports across many different pipelines. The soft pairs are mostly only superficially similar by wording and should all be rejected 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:1197", + "right": "issue:459", + "accept": false, + "reason": "Different requests: OpenAI Diffusion Pipeline vs Incremental Diffusion. Similar theme, not the same feature or bug." + }, + { + "left": "issue:1205", + "right": "issue:1440", + "accept": false, + "reason": "ONNX conversion request and deleting cached models are unrelated." + }, + { + "left": "issue:12060", + "right": "issue:9599", + "accept": false, + "reason": "A question about DiT blocks 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 report vs a typo in an error message; different problems." + }, + { + "left": "issue:4674", + "right": "issue:4788", + "accept": false, + "reason": "Memory leak when changing width/height is distinct from SDXL inpaint OOM on 6 GB VRAM." + }, + { + "left": "issue:8504", + "right": "issue:9101", + "accept": false, + "reason": "Selecting text encoders for SD3 training and an InstructPix2Pix SD3 training script are separate feature requests." + }, + { + "left": "issue:10639", + "right": "issue:12239", + "accept": false, + "reason": "Support for Lumina-Image 2.0 and support for InfiniteTalk are different model integrations." + }, + { + "left": "issue:10542", + "right": "issue:9680", + "accept": false, + "reason": "Hunyuan Video batch-size regression is unrelated to SDXL unconditional generation being broken." + }, + { + "left": "issue:11519", + "right": "issue:13430", + "accept": false, + "reason": "Support requests for MAGI-1 and JoyAI-Image-Edit target different models." + }, + { + "left": "issue:1181", + "right": "issue:3698", + "accept": false, + "reason": "Training from scratch is not the same as converting an inpainting model to diffusers." + }, + { + "left": "issue:2210", + "right": "issue:5160", + "accept": false, + "reason": "LoRA text-encoder training and Dreambooth/LoRA masking are different training features." + }, + { + "left": "issue:2332", + "right": "issue:4232", + "accept": false, + "reason": "Dreambooth inference error vs instruct-pix2pix ControlNet training/inference; not the same bug." + }, + { + "left": "issue:4964", + "right": "issue:7782", + "accept": false, + "reason": "SDXL model conversion and safetensors conversion failure are unrelated." + }, + { + "left": "issue:1350", + "right": "issue:3087", + "accept": false, + "reason": "DiffusionDet object detection support and LyCORIS/LoCon/LoHA support are different domains." + }, + { + "left": "issue:1594", + "right": "issue:4949", + "accept": false, + "reason": "Video img2img generation and ProPainter in/outpainting are not the same change." + }, + { + "left": "issue:1962", + "right": "issue:3444", + "accept": false, + "reason": "Video generation with stable diffusion is unrelated to audio-to-image integration with ImageBind." + }, + { + "left": "issue:318", + "right": "issue:3891", + "accept": false, + "reason": "Grad-TTS and Tortoise TTS are separate TTS pipeline requests." + }, + { + "left": "issue:5687", + "right": "issue:5710", + "accept": false, + "reason": "One is a low-strength img2img timestep bug; the other is a scheduler initialization bug. Different code paths." + }, + { + "left": "issue:6935", + "right": "issue:7882", + "accept": false, + "reason": "IP-Adapter face ID support and missing from_single_file on T2I-Adapter are unrelated." + }, + { + "left": "issue:3325", + "right": "issue:5960", + "accept": false, + "reason": "Dreambooth CUDA invalid argument and SDXL ControlNet NaN/uint8 cast warning are different failures." + }, + { + "left": "issue:4014", + "right": "issue:8723", + "accept": false, + "reason": "Watermark pixel artifacts in SDXL are unrelated to SD3ControlNetModel initialization errors." + }, + { + "left": "issue:6136", + "right": "issue:7569", + "accept": false, + "reason": "SD2.1 NaNs on Mac and a FreeU test failure on Mac are not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:7661", + "accept": false, + "reason": "IP-Adapter face model support and enabling animate diff with IP-Adapter are distinct feature requests." + }, + { + "left": "issue:10336", + "right": "issue:9450", + "accept": false, + "reason": "Sana activation clamping and Flux multi-GPU device mismatch are different bugs in different models." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10054", + "issue:10210", + "issue:10513", + "issue:10650", + "issue:10800", + "issue:10932", + "issue:10962", + "issue:11006", + "issue:11352", + "issue:12396", + "issue:12504", + "issue:12606", + "issue:2203", + "issue:2228", + "issue:2364", + "issue:2947", + "issue:3032", + "issue:3085", + "issue:319", + "issue:3623", + "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:671", + "issue:7232", + "issue:730", + "issue:7611", + "issue:7799", + "issue:7991", + "issue:8930", + "issue:938", + "issue:9392", + "issue:9485", + "issue:987" + ], + "soft_pairs": [ + "issue:3623|issue:671", + "issue:10054|issue:12606", + "issue:11352|issue:12504", + "issue:319|issue:938", + "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" + ], + "prepared_review_unit_hash": "a7b7b4a63d68d8dbe4096c6cf04d11861be708f7cb3f2b028c0ee62024f21410", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33386, + "estimated_input_tokens": 8347, + "estimated_eval_tokens": 16950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft links are mostly false positives: these issues span unrelated pipelines, scheduler behavior, quantization/offload, shape mismatches, and docs/training edge cases. No pair looks like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": "issue:10210 is the most concrete and widely discussed user-facing bug report here, so it is the least arbitrary representative of this heterogeneous set.", + "canonical_pr_reason": null, + "best_issue_reason": "As a cluster representative, issue:10210 is the strongest fit by specificity and discussion activity, but it should not be treated as a true duplicate anchor for the whole group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3623", + "right": "issue:671", + "accept": false, + "reason": "Both are model loading/behavior complaints, but one is about large-model loading failures and the other about converted-model fidelity; different underlying problems." + }, + { + "left": "issue:10054", + "right": "issue:12606", + "accept": false, + "reason": "Scheduler test parameter bug vs wrong script import; unrelated code paths." + }, + { + "left": "issue:11352", + "right": "issue:12504", + "accept": false, + "reason": "CPU move warning for 8bit quantized pipelines vs freeU ComplexHalf warning; different functionality and failure modes." + }, + { + "left": "issue:319", + "right": "issue:938", + "accept": false, + "reason": "Completely different domains: VQ-Diffusion model request vs human motion diffusion model request." + }, + { + "left": "issue:5743", + "right": "issue:5897", + "accept": false, + "reason": "Training stuck at 0% versus device-mismatch in LoRA training; not the same bug." + }, + { + "left": "issue:5372", + "right": "issue:5824", + "accept": false, + "reason": "Both mention SDXL pipeline internals, but one asks how to use safety_checker and the other reports a bad default in get_add_time_ids()." + }, + { + "left": "issue:2364", + "right": "issue:4704", + "accept": false, + "reason": "Generic training-script failure vs Custom Diffusion training failure; too broad and no shared concrete failure mode." + }, + { + "left": "issue:4674", + "right": "issue:490", + "accept": false, + "reason": "Memory leak when changing width/height across calls is not the same as general low-memory complaints." + }, + { + "left": "issue:2228", + "right": "issue:3861", + "accept": false, + "reason": "Loading-to-GPU issue vs API naming question about from_pretrained; different underlying issue." + }, + { + "left": "issue:4835", + "right": "issue:8930", + "accept": false, + "reason": "ControlNet img2img bug with MultiControlNetModel vs pose-control adherence issues; both about control images but not the same concrete defect." + }, + { + "left": "issue:5889", + "right": "issue:7232", + "accept": false, + "reason": "Stable video diffusion feature request/announcement vs support for multimodal diffusion transformers; not duplicates." + }, + { + "left": "issue:539", + "right": "issue:987", + "accept": false, + "reason": "Different unrelated TypeError reports from different APIs and pipelines." + }, + { + "left": "issue:7611", + "right": "issue:7799", + "accept": false, + "reason": "Shape mismatch in unet2dconditional vs matmul mismatch with IP-Adapter; both are tensor-shape errors but distinct code paths." + }, + { + "left": "issue:3085", + "right": "issue:3973", + "accept": false, + "reason": "Removed return_cache_folder argument vs unexpected vae_path keyword; both are parameter/API mismatches but not the same one." + }, + { + "left": "issue:2947", + "right": "issue:4692", + "accept": false, + "reason": "Missing load_attn_procs attribute vs generic UNet memory concerns; unrelated defects." + }, + { + "left": "issue:10650", + "right": "issue:10962", + "accept": false, + "reason": "Lumina reshape runtime error vs Cogview4 prompt-embed shape issues; similar symptom class only, not the same bug." + }, + { + "left": "issue:10800", + "right": "issue:10932", + "accept": false, + "reason": "Quantized model plus sequential CPU offload crash vs torch.compile recompile limit; different mechanisms and failures." + }, + { + "left": "issue:10210", + "right": "issue:11006", + "accept": false, + "reason": "FluxImg2Img output too similar to input is not the same as broken Wan 2.1 I2V output with a quantized transformer." + }, + { + "left": "issue:5044", + "right": "issue:6028", + "accept": false, + "reason": "Kandinsky 2.2 load failure vs Kandinsky 3.0 CUDA OOM; different models and different failure modes." + }, + { + "left": "issue:2203", + "right": "issue:730", + "accept": false, + "reason": "DreamBooth download location question vs DreamBooth training quality issue; unrelated." + }, + { + "left": "issue:10513", + "right": "issue:12396", + "accept": false, + "reason": "Colab FLUX errors vs leaf_level/delete_adapters errors; different subsystems and symptoms." + }, + { + "left": "issue:3032", + "right": "issue:3861", + "accept": false, + "reason": "ControlNet class lacking from_pretrained vs generic Pipeline.from_pretrained question; not the same defect." + }, + { + "left": "issue:4936", + "right": "issue:7991", + "accept": false, + "reason": "Dreambooth LoRA resume regression vs basic training tutorial bug; different workflows and root causes." + }, + { + "left": "issue:9392", + "right": "issue:9485", + "accept": false, + "reason": "Scheduler SNR shift design question vs request to move scheduler computation to GPU; related area but 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": "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-50-3013", + "nodes": [ + "issue:1013", + "issue:10202", + "issue:10334", + "issue:10336", + "issue:10411", + "issue:10490", + "issue:10514", + "issue:10529", + "issue:10596", + "issue:10671", + "issue:10817", + "issue:1083", + "issue:10873", + "issue:11046", + "issue:11148", + "issue:11886", + "issue:12052", + "issue:12321", + "issue:12459", + "issue:13506", + "issue:1791", + "issue:2089", + "issue:4210", + "issue:4332", + "issue:4534", + "issue:4616", + "issue:4631", + "issue:5026", + "issue:5545", + "issue:5595", + "issue:5646", + "issue:5689", + "issue:5951", + "issue:6091", + "issue:6222", + "issue:6518", + "issue:6783", + "issue:6794", + "issue:6928", + "issue:760", + "issue:7793", + "issue:7842", + "issue:834", + "issue:8589", + "issue:8612", + "issue:8647", + "issue:9953", + "issue:9972" + ], + "soft_pairs": [ + "issue:1791|issue:760", + "issue:10336|issue:10514", + "issue:11148|issue:9953", + "issue:1083|issue:834", + "issue:4616|issue:8647", + "issue:11886|issue:12459", + "issue:10411|issue:6518", + "issue:10817|issue:8589", + "issue:6091|issue:6222", + "issue:12052|issue:13506", + "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" + ], + "prepared_review_unit_hash": "7970175382d9340fb6ae9f70e979d44f16ee44c36a8b8a0b16b43129a42ea43e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33866, + "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 heterogeneous: the soft-linked pairs share only broad vocabulary (pipeline names, schedulers, Mac/MPS, LoRA, etc.) but not the same underlying bug or change. No duplicate pairs should be merged.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because the issues cover unrelated bugs across different pipelines, schedulers, training scripts, and platforms.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue for deduplication: none of the items is a clear representative of the others, and the soft pairs are not same-root-cause duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:760", + "accept": false, + "reason": "Both mention MPS/Mac support, but they are different pipelines and different failures; not the same bug." + }, + { + "left": "issue:10336", + "right": "issue:10514", + "accept": false, + "reason": "Both are Sana-related, but one is activation explosion/clamping and the other is a resolution-binning/sample_size constraint; distinct root causes." + }, + { + "left": "issue:11148", + "right": "issue:9953", + "accept": false, + "reason": "PEFT adapter flag handling vs moving a quantized component to CUDA are separate code paths and failure modes." + }, + { + "left": "issue:1083", + "right": "issue:834", + "accept": false, + "reason": "FP16 ONNX incorrect output and CPU underutilization are unrelated performance/accuracy issues." + }, + { + "left": "issue:4616", + "right": "issue:8647", + "accept": false, + "reason": "SDXL LoRA conversion and a ControlNet img2img NoneType error are different problems." + }, + { + "left": "issue:11886", + "right": "issue:12459", + "accept": false, + "reason": "FluxKontextPipeline issue and FLUX.1-Kontext batch throughput are both Flux-related but one is a functional bug and the other is a performance concern." + }, + { + "left": "issue:10411", + "right": "issue:6518", + "accept": false, + "reason": "Both involve training scripts, but the reported failures and scripts are different; not one concrete bug." + }, + { + "left": "issue:10817", + "right": "issue:8589", + "accept": false, + "reason": "Missing SD3 control nets in auto_pipeline is unrelated to SD3 DreamBooth prior-preservation support." + }, + { + "left": "issue:6091", + "right": "issue:6222", + "accept": false, + "reason": "Size-argument memory issue in Consistency Decoder and DDPM batch-size dependency are separate scheduler/model behaviors." + }, + { + "left": "issue:12052", + "right": "issue:13506", + "accept": false, + "reason": "Wan offloading device-mismatch failure and Sage attention ring-attention failure are distinct attention/offloading problems." + }, + { + "left": "issue:7793", + "right": "issue:7842", + "accept": false, + "reason": "LoRA unloading error and DeepFloyd stage-2 size mismatch are different bugs in different workflows." + }, + { + "left": "issue:6783", + "right": "issue:8612", + "accept": false, + "reason": "PixArt generations messed up and mixed-precision incompatibility are different issues, even if both affect inference quality." + }, + { + "left": "issue:5545", + "right": "issue:5595", + "accept": false, + "reason": "Generic inpaint pipeline problem vs height/width divisibility validation are not the same root cause." + }, + { + "left": "issue:5646", + "right": "issue:5689", + "accept": false, + "reason": "Scheduler instability on one model vs residual noise in SDXL images are related only by broad sampler context, not by a shared bug." + }, + { + "left": "issue:4210", + "right": "issue:4332", + "accept": false, + "reason": "Attention-mask usage in UNet and xformers support for Kandinsky 2.2 are unrelated changes/issues." + }, + { + "left": "issue:4534", + "right": "issue:4631", + "accept": false, + "reason": "MPS validation crash in SDXL DreamBooth and a Karras-sigma scalar conversion error are different scheduler/device failures." + }, + { + "left": "issue:2089", + "right": "issue:5951", + "accept": false, + "reason": "DreamBooth OOM on AltDiffusion and PixArt training are not the same issue." + }, + { + "left": "issue:1013", + "right": "issue:5026", + "accept": false, + "reason": "Different versioned pipeline regressions: StableDiffusionMegaPipeline compatibility vs a KeyError for text_encoder." + }, + { + "left": "issue:10202", + "right": "issue:11046", + "accept": false, + "reason": "LoRA unload correctness and Flux pipeline inference composition are separate Flux bugs." + }, + { + "left": "issue:10334", + "right": "issue:9972", + "accept": false, + "reason": "Both are macOS-related, but one is Sana numerical corruption and the other is a CogX buffer-allocation failure." + }, + { + "left": "issue:10490", + "right": "issue:12321", + "accept": false, + "reason": "General Infinity support request and HunyuanImage-2.1 support are unrelated feature requests." + }, + { + "left": "issue:10529", + "right": "issue:6928", + "accept": false, + "reason": "DDIMInverseScheduler timestep spacing and Marigold depthmap colorization are unrelated feature requests." + }, + { + "left": "issue:10596", + "right": "issue:6794", + "accept": false, + "reason": "FluxControlPipeline shape error and cast_training_params import error are different bugs in different areas." + }, + { + "left": "issue:10671", + "right": "issue:10873", + "accept": false, + "reason": "Deterministic dtype/device retrieval in DiffusionPipeline and SanaPipeline behavior 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": 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-50-3013", + "nodes": [ + "issue:10760", + "issue:10767", + "issue:1101", + "issue:1117", + "issue:11351", + "issue:11352", + "issue:11519", + "issue:12108", + "issue:12338", + "issue:12358", + "issue:12599", + "issue:12645", + "issue:12666", + "issue:12754", + "issue:13034", + "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:3010", + "issue:3073", + "issue:3159", + "issue:3838", + "issue:3843", + "issue:4386", + "issue:4390", + "issue:5285", + "issue:5877", + "issue:6928", + "issue:7365", + "issue:8410", + "issue:940", + "issue:9471", + "issue:9744" + ], + "soft_pairs": [ + "issue:10760|issue:13034", + "issue:10767|issue:8410", + "issue:1101|issue:5285", + "issue:1117|issue:3010", + "issue:11351|issue:12666", + "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" + ], + "prepared_review_unit_hash": "2ba797a0bc4b539409cf083cb29a971b8bdeb64ba5acd865a2f115cbf2df2450", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33004, + "estimated_input_tokens": 8251, + "estimated_eval_tokens": 16758 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft-edge pairs are weakly similar at best and mostly unrelated; they span different bugs, features, docs, models, and pipelines. I would not merge any pair as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue stands out: this set is heterogeneous, with unrelated model-support requests, bugs, docs issues, and pipeline-specific regressions.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate: none of these issues clearly subsumes the others or represents the same underlying problem across the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10760", + "right": "issue:13034", + "accept": false, + "reason": "Different failures in different pipelines: import-time missing attribute vs WanPipeline height/width handling." + }, + { + "left": "issue:10767", + "right": "issue:8410", + "accept": false, + "reason": "FlashVideo integration request is unrelated to native TextDiffuser pipeline support." + }, + { + "left": "issue:1101", + "right": "issue:5285", + "accept": false, + "reason": "Scheduler feature request and Japanese docs translation are unrelated." + }, + { + "left": "issue:1117", + "right": "issue:3010", + "accept": false, + "reason": "Negative-prompt tests and distributed inference docs address different areas." + }, + { + "left": "issue:11351", + "right": "issue:12666", + "accept": false, + "reason": "Wan video processor dtype question is unrelated to Kandinsky 5.0 video pipeline availability." + }, + { + "left": "issue:11352", + "right": "issue:12599", + "accept": false, + "reason": "One is missing a warning on CPU move for 8-bit models; the other is slow CUDA transfer after loading." + }, + { + "left": "issue:11519", + "right": "issue:13191", + "accept": false, + "reason": "Two separate model support requests (MAGI-1 vs Elastic-DiT) with no shared bug/change." + }, + { + "left": "issue:12108", + "right": "issue:12645", + "accept": false, + "reason": "Flow-matching scheduler breakage is a functional bug; the other is a speed comparison complaint." + }, + { + "left": "issue:12338", + "right": "issue:9471", + "accept": false, + "reason": "AutoencoderDC VAE slicing bug is unrelated to a file-extension/resource-type parsing error." + }, + { + "left": "issue:12358", + "right": "issue:9744", + "accept": false, + "reason": "Different model support requests: Lumina-DiMOO vs Mochi video model." + }, + { + "left": "issue:12754", + "right": "issue:13377", + "accept": false, + "reason": "Both mention pipeline behavior, but one is float32 casting in from_pipe and the other is CFG suppression with negative_prompt_embeds." + }, + { + "left": "issue:1305", + "right": "issue:3073", + "accept": false, + "reason": "Direct Inversion method request is unrelated to adding consistency models." + }, + { + "left": "issue:1398", + "right": "issue:940", + "accept": false, + "reason": "Both touch MPS, but one is Stable Diffusion 2 support and the other is an LMSDiscreteScheduler crash." + }, + { + "left": "issue:1530", + "right": "issue:1919", + "accept": false, + "reason": "Missing VQDiffusion pipeline embedding field and missing DreamBooth requirements are unrelated." + }, + { + "left": "issue:1541", + "right": "issue:5877", + "accept": false, + "reason": "Both involve DreamBooth, but one is CKPT/model-type detection and the other is subprocess failures in training scripts." + }, + { + "left": "issue:202", + "right": "issue:2377", + "accept": false, + "reason": "Unet blocks tests and EMAModel tests are unrelated test additions." + }, + { + "left": "issue:2250", + "right": "issue:2603", + "accept": false, + "reason": "Different DreamBooth/Attend-And-Excite inference problems with different symptoms and code paths." + }, + { + "left": "issue:2538", + "right": "issue:6928", + "accept": false, + "reason": "Train-text-encoder option and Marigold depthmap colorization are separate feature requests." + }, + { + "left": "issue:2550", + "right": "issue:3843", + "accept": false, + "reason": "ControlNet model conversion and missing global_step key are different code-path issues." + }, + { + "left": "issue:2674", + "right": "issue:4390", + "accept": false, + "reason": "A missing safetensors dependency in LoRA workflows is not the same as a generic missing requirements report." + }, + { + "left": "issue:2761", + "right": "issue:3159", + "accept": false, + "reason": "Documentation request for UNet1DModel and a typo fix in docs are different doc issues." + }, + { + "left": "issue:2866", + "right": "issue:4386", + "accept": false, + "reason": "Both involve LoRA conversion, but one is bin-to-safetensors conversion and the other is an SDXL safetensor LoRA question." + }, + { + "left": "issue:2883", + "right": "issue:3838", + "accept": false, + "reason": "Image-to-video pipeline and Video Composer are broad feature requests, not the same concrete change." + }, + { + "left": "issue:2972", + "right": "issue:7365", + "accept": false, + "reason": "The 0.01 adjustment-loop bug is unrelated to pooled_prompt_embeds being overwritten." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:2984", + "issue:3093", + "issue:3111", + "issue:3113", + "issue:3171", + "issue:3221", + "issue:3338", + "issue:3406", + "issue:3444", + "issue:3728", + "issue:3817", + "issue:4052", + "issue:4264", + "issue:4311", + "issue:4312", + "issue:4386", + "issue:4524", + "issue:459", + "issue:4630", + "issue:4868", + "issue:4877", + "issue:4912", + "issue:5062", + "issue:5070", + "issue:5130", + "issue:5254", + "issue:5284", + "issue:5371", + "issue:5442", + "issue:5643", + "issue:5931", + "issue:6093", + "issue:6113", + "issue:6295", + "issue:6616", + "issue:6732", + "issue:692", + "issue:7147", + "issue:7264", + "issue:7377", + "issue:7440", + "issue:7456", + "issue:8410", + "issue:8451", + "issue:8495", + "issue:8792", + "issue:9001", + "issue:9793" + ], + "soft_pairs": [ + "issue:2984|issue:3817", + "issue:3093|issue:4630", + "issue:3111|issue:4912", + "issue:3111|issue:7264", + "issue:3113|issue:5442", + "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" + ], + "prepared_review_unit_hash": "3e021c1dca14cd8227729ef04a265755017fba3d368aa51187a5a1eb77645736", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33185, + "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 mostly a set of unrelated feature requests/questions across different Diffusers pipelines and utilities; the soft-similarity links are not strong enough to treat any pair as duplicates.", + "confidence": 0.34, + "canonical_issue_reason": "issue:4524 is the strongest representative issue here: it has the highest discussion activity and inbound references, and it is a concrete feature request rather than a narrow one-off question.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4524 is the best single issue to anchor the cluster because it is prominent, substantive, and clearly scoped to a real product enhancement.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2984", + "right": "issue:3817", + "accept": false, + "reason": "Unrelated topics: long-video diffusion model research vs editable dance generation from music." + }, + { + "left": "issue:3093", + "right": "issue:4630", + "accept": false, + "reason": "Noise manipulation during generation is different from changing LoRA weights after loading." + }, + { + "left": "issue:3111", + "right": "issue:4912", + "accept": false, + "reason": "Custom conditioning encoder support is unrelated to converting SDXL checkpoints." + }, + { + "left": "issue:3111", + "right": "issue:7264", + "accept": false, + "reason": "Custom conditioning encoder support is a different problem from serializing/loading custom Transformers models." + }, + { + "left": "issue:3113", + "right": "issue:5442", + "accept": false, + "reason": "Cross-attention layout control and ScaleCrafter are different feature requests for different code paths." + }, + { + "left": "issue:3171", + "right": "issue:5070", + "accept": false, + "reason": "Both mention ControlNet-style prompting, but one is about LPW prompts and the other about specific control flags in an example; not the same bug/change." + }, + { + "left": "issue:3221", + "right": "issue:3338", + "accept": false, + "reason": "A version-specific attention processor loading bug is unrelated to slow package import time." + }, + { + "left": "issue:3406", + "right": "issue:4311", + "accept": false, + "reason": "only_cross_attention behavior is unrelated to the local_files_only pipeline_class bug." + }, + { + "left": "issue:3406", + "right": "issue:5062", + "accept": false, + "reason": "Attention behavior for only_cross_attention is different from a typo in attention processor naming." + }, + { + "left": "issue:3444", + "right": "issue:3728", + "accept": false, + "reason": "Audio-to-image integration is unrelated to shifted diffusion text-to-image support." + }, + { + "left": "issue:4052", + "right": "issue:7440", + "accept": false, + "reason": "Missing from_single_file import and a missing dataset are unrelated issues." + }, + { + "left": "issue:4264", + "right": "issue:7456", + "accept": false, + "reason": "Missing example images is not the same as a missing raise statement." + }, + { + "left": "issue:4312", + "right": "issue:5371", + "accept": false, + "reason": "SAG for inpainting/img2img and BLIP inpainting support are different pipeline feature requests." + }, + { + "left": "issue:4386", + "right": "issue:4877", + "accept": false, + "reason": "LoRA conversion for SDXL is unrelated to exposing noise_init_strength as an input argument." + }, + { + "left": "issue:4524", + "right": "issue:6616", + "accept": false, + "reason": "AnimateDiff pipeline support and classifier guidance are different concrete features affecting different generation paths." + }, + { + "left": "issue:459", + "right": "issue:692", + "accept": false, + "reason": "Incremental diffusion and an example for fine-tuning are not the same underlying issue." + }, + { + "left": "issue:4868", + "right": "issue:8495", + "accept": false, + "reason": "A Python AttributeError in one path is unrelated to an SD3 tokenizer enum deserialization error." + }, + { + "left": "issue:5130", + "right": "issue:6732", + "accept": false, + "reason": "A scheduler usage question is not the same as undocumented trained_betas documentation." + }, + { + "left": "issue:5254", + "right": "issue:9001", + "accept": false, + "reason": "Multi-ControlNet inpaint support and Auraflow aspect ratios are separate pipeline enhancements." + }, + { + "left": "issue:5284", + "right": "issue:8410", + "accept": false, + "reason": "ControlNet-LLLite support and native TextDiffuser support are different model/pipeline additions." + }, + { + "left": "issue:5643", + "right": "issue:6113", + "accept": false, + "reason": "How to use IP-Adapter ControlNet is unrelated to loading models from the sd_control_collection repo." + }, + { + "left": "issue:5931", + "right": "issue:9793", + "accept": false, + "reason": "Generation nondeterminism and a progress bar update issue are different bugs." + }, + { + "left": "issue:6093", + "right": "issue:8451", + "accept": false, + "reason": "push_to_hub behavior in one training script is unrelated to missing training details for frozen UNet parameters." + }, + { + "left": "issue:6295", + "right": "issue:8792", + "accept": false, + "reason": "Artifacts with a specific sampler setting are not the same as general quality degradation migrating from A1111 to Diffusers." + }, + { + "left": "issue:7147", + "right": "issue:7377", + "accept": false, + "reason": "Import failure for StableCascadeDecoderPipeline is different from a runtime error when num_images_per_prompt > 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": 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-50-3013", + "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:12656", + "issue:12981", + "issue:1815", + "issue:3177", + "issue:3748", + "issue:3765", + "issue:3880", + "issue:4229", + "issue:4520", + "issue:4631", + "issue:5313", + "issue:5710", + "issue:7237", + "issue:7322", + "issue:782", + "issue:7897", + "issue:8593", + "issue:8831", + "issue:9026", + "issue:9051", + "issue:9170", + "issue:9178", + "issue:9298", + "issue:9331", + "issue:9417", + "issue:9454", + "issue:9460", + "issue:9479", + "issue:9496", + "issue:954", + "issue:9637", + "issue:9902" + ], + "soft_pairs": [ + "issue:7237|issue:9902", + "issue:8593|issue:9454", + "issue:9026|issue:9298", + "issue:9331|issue:9417", + "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" + ], + "prepared_review_unit_hash": "c2203eb4bf353f7c8ed3d9fdf922062bd14ae063a68d9a285902cb69d4061c65", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33359, + "estimated_input_tokens": 8340, + "estimated_eval_tokens": 16936 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy and spans many unrelated bug reports and feature requests. The inpainting trio is the strongest thematic group, with #3880 as the best umbrella issue. For soft edges, only the DPMSolverSinglestepScheduler pair looks like a real duplicate-style match; the FlowMatch `index_for_timestep` pair should be rejected because one is a bug report and the other is a performance suggestion.", + "confidence": 0.79, + "canonical_issue_reason": "#3880 is the clearest broad inpainting-defect report and works best as the umbrella for related masked-area degradation complaints, including #9479 and the later FluxFill inpainting quality issue.", + "canonical_pr_reason": null, + "best_issue_reason": "#3880 is the most representative standalone bug in the set: it describes a concrete inpainting degradation problem with broad applicability.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7237", + "right": "issue:9902", + "accept": false, + "reason": "Unrelated: missing scheduler class vs a conda version pin/stuck version issue." + }, + { + "left": "issue:8593", + "right": "issue:9454", + "accept": false, + "reason": "Different bugs: SD3 CPU bfloat16 noise vs CogVideoX image2video model loading." + }, + { + "left": "issue:9026", + "right": "issue:9298", + "accept": false, + "reason": "Different failure modes: unexpected `force_hook` arg vs missing `Float8_e4m3fnStorage`." + }, + { + "left": "issue:9331", + "right": "issue:9417", + "accept": false, + "reason": "Same function name, but one is a correctness bug report and the other is a performance suggestion; not the same underlying defect." + }, + { + "left": "issue:12338", + "right": "issue:9637", + "accept": false, + "reason": "Different runtime issues: AutoencoderDC slicing decode bug vs xFormers attention-mask/bfloat16 failure." + }, + { + "left": "issue:5313", + "right": "issue:8831", + "accept": false, + "reason": "Both are LoRA-related, but they describe different problems: non-revertible fuse vs unsupported layers." + }, + { + "left": "issue:1815", + "right": "issue:3177", + "accept": false, + "reason": "Both involve DeepSpeed, but the reported training/offloading failures are different." + }, + { + "left": "issue:11329", + "right": "issue:11570", + "accept": false, + "reason": "Shared quantization context, but memory leak and `.to()` cast breakage are distinct bugs." + }, + { + "left": "issue:4229", + "right": "issue:7322", + "accept": false, + "reason": "Both are training failures, but the contexts and failure causes differ." + }, + { + "left": "issue:10584", + "right": "issue:9331", + "accept": false, + "reason": "Related scheduler area, but the specific reports do not clearly describe the same concrete bug." + }, + { + "left": "issue:10447", + "right": "issue:10928", + "accept": false, + "reason": "Model file handling is only a broad theme; conversion splitting and missing fp16 weights are different issues." + }, + { + "left": "issue:10204", + "right": "issue:10833", + "accept": false, + "reason": "Same pipeline family, but iterative inpainting degradation and quantization shape mismatch are different bugs." + }, + { + "left": "issue:11109", + "right": "issue:9178", + "accept": false, + "reason": "Different LoRA problems: transformer layer mismatch vs PEFT target-module errors." + }, + { + "left": "issue:10737", + "right": "issue:9051", + "accept": false, + "reason": "Both are FluxPipeline issues, but missing image encoder and lack of batch inference are different problems." + }, + { + "left": "issue:7897", + "right": "issue:9170", + "accept": false, + "reason": "Both mention resource pressure, but they are not the same underlying bug." + }, + { + "left": "issue:3765", + "right": "issue:3880", + "accept": false, + "reason": "Different tasks and symptoms: ControlNet training stacking effects vs inpainting mask degradation." + }, + { + "left": "issue:9460", + "right": "issue:9496", + "accept": false, + "reason": "Feature request to assign multiple ControlNet models vs a forward-function error." + }, + { + "left": "issue:4631", + "right": "issue:5710", + "accept": true, + "reason": "Same scheduler class and same sigma initialization/code-path problem; these look like the same underlying bug." + }, + { + "left": "issue:782", + "right": "issue:954", + "accept": false, + "reason": "Both are auth/download-related, but they are not the same failure." + }, + { + "left": "issue:3748", + "right": "issue:4520", + "accept": false, + "reason": "Both involve LoRA, but dtype mismatch on load and attention-slicing scale behavior are different bugs." + }, + { + "left": "issue:11223", + "right": "issue:11363", + "accept": false, + "reason": "OOM reports in different contexts without evidence of the same root cause." + }, + { + "left": "issue:11010", + "right": "issue:9479", + "accept": false, + "reason": "Architecture-support request vs a stable-diffusion inpainting bug; not the same issue." + }, + { + "left": "issue:11258", + "right": "issue:12981", + "accept": false, + "reason": "Same LTX family, but different versions/formats and different loading problems." + }, + { + "left": "issue:10382", + "right": "issue:12656", + "accept": false, + "reason": "Completely unrelated: VAE return-type mismatch vs AuraFlow positional embedding out-of-bounds." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Rejecting because one soft-edge verdict overstates the evidence: issue #9331 and #9417 share a function name, but the packet shows a bug report versus a performance suggestion, not the same underlying defect. The rest of the pairing judgments are mostly conservative, and the inpainting umbrella choice is plausible, but this accept is too strong for the available evidence." + }, + "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-50-3013", + "nodes": [ + "issue:10111", + "issue:10231", + "issue:10897", + "issue:11592", + "issue:1185", + "issue:12108", + "issue:12605", + "issue:12653", + "issue:13377", + "issue:1417", + "issue:1708", + "issue:1857", + "issue:1934", + "issue:2507", + "issue:2532", + "issue:2784", + "issue:2906", + "issue:2984", + "issue:337", + "issue:3444", + "issue:3728", + "issue:3769", + "issue:4390", + "issue:4480", + "issue:6112", + "issue:6256", + "issue:6385", + "issue:6506", + "issue:6533", + "issue:6901", + "issue:7082", + "issue:7380", + "issue:7492", + "issue:775", + "issue:834", + "issue:8410", + "issue:8593", + "issue:8604", + "issue:8832", + "issue:9023", + "issue:9171", + "issue:9209", + "issue:9320", + "issue:9460", + "issue:9516", + "issue:9610", + "issue:9719", + "issue:984" + ], + "soft_pairs": [ + "issue:12605|issue:13377", + "issue:6385|issue:6506", + "issue:2906|issue:7082", + "issue:6256|issue:9610", + "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" + ], + "prepared_review_unit_hash": "c1d21b56e926fe5d4f8834a7b6db046c18097fa27bab2dbb1a57cd85373e9f60", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "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 mostly heterogeneous: the soft matches are broad topical similarities, not true duplicates. The only clear duplicate-like pair is the StableDiffusionPanoramaPipeline get_views / quartered-image bug.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 2532 is the best root-cause anchor: it names the faulty `get_views` method, while 3769 is the downstream symptom report for the same panorama bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2532 is the most actionable representative in the set because it points to the underlying code path rather than only the visual failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12605", + "right": "issue:13377", + "accept": false, + "reason": "Both are attention/mask-related FLUX bugs, but they affect different code paths: backend attention dispatch vs CFG being skipped when `mask` is `None`." + }, + { + "left": "issue:6385", + "right": "issue:6506", + "accept": false, + "reason": "Same broad StableVideoDiffusion area, but one is VRAM usage and the other is output type mismatch; not the same bug." + }, + { + "left": "issue:2906", + "right": "issue:7082", + "accept": false, + "reason": "Both are import/type-related failures, but they concern unrelated symbols (`PreTrainedTokenizer` vs `CpuOffload`) and different subsystems." + }, + { + "left": "issue:6256", + "right": "issue:9610", + "accept": false, + "reason": "Both are pipeline API feature requests, but they ask for different callbacks/methods and do not describe the same change." + }, + { + "left": "issue:2507", + "right": "issue:834", + "accept": false, + "reason": "Both mention performance, but one is safetensors load speed and the other is CPU underutilization during runtime; different problems." + }, + { + "left": "issue:11592", + "right": "issue:8832", + "accept": false, + "reason": "One is a FLUX LoRA adapter regression; the other is a generic crash when calling `pipe(prompt)`. No concrete shared code path." + }, + { + "left": "issue:3728", + "right": "issue:6533", + "accept": false, + "reason": "Both are requests for new pipelines, but they target different models/tasks and are not the same feature." + }, + { + "left": "issue:1934", + "right": "issue:984", + "accept": false, + "reason": "Unrelated performance/memory complaints in different code paths; no evidence of a shared underlying defect." + }, + { + "left": "issue:7492", + "right": "issue:9209", + "accept": false, + "reason": "Both involve loading models, but one is a missing repo error and the other is a network/mirror connectivity issue." + }, + { + "left": "issue:12108", + "right": "issue:9460", + "accept": false, + "reason": "Different pipelines and different failures: flow-matching scheduler breakage vs assigning multiple ControlNet models." + }, + { + "left": "issue:12108", + "right": "issue:12653", + "accept": false, + "reason": "Completely different problems: scheduler compatibility vs RoPE dtype causing MPS/NPU issues." + }, + { + "left": "issue:10111", + "right": "issue:9516", + "accept": false, + "reason": "Both mention FLUX, but one is a vague multi-bug report and the other is a specific missing `joint_attention_kwargs` pass-through; not the same bug." + }, + { + "left": "issue:2784", + "right": "issue:7380", + "accept": false, + "reason": "Both are feature requests, but they propose different diffusion capabilities and are not duplicates." + }, + { + "left": "issue:4480", + "right": "issue:8604", + "accept": false, + "reason": "Both are fp16/MPS-related image corruption reports, but they involve different models/components and different failure modes." + }, + { + "left": "issue:1185", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth is the only shared topic; one is reproducibility and the other is config-file usage. Not the same issue." + }, + { + "left": "issue:337", + "right": "issue:775", + "accept": false, + "reason": "Both are generation bugs, but one concerns img2img/inpainting behavior and the other fp16 without autocast." + }, + { + "left": "issue:10231", + "right": "issue:9023", + "accept": false, + "reason": "Both are generic run failures, but they are too unspecific and do not point to the same underlying problem." + }, + { + "left": "issue:6112", + "right": "issue:8593", + "accept": false, + "reason": "Both produce noise, but on different models and precisions; the bug reports do not indicate the same root cause." + }, + { + "left": "issue:9320", + "right": "issue:9719", + "accept": false, + "reason": "Saved/loaded finetuned weights in custom diffusion is unrelated to a progress-bar suppression regression." + }, + { + "left": "issue:10897", + "right": "issue:8410", + "accept": false, + "reason": "Both are feature requests for new model support, but they are about different pipelines/tasks." + }, + { + "left": "issue:1417", + "right": "issue:1857", + "accept": false, + "reason": "CPU offloading implementation concerns are unrelated to UnCLIP test coverage." + }, + { + "left": "issue:2984", + "right": "issue:3444", + "accept": false, + "reason": "Both request new pipeline/model support, but they are for different modalities and concrete changes." + }, + { + "left": "issue:9171", + "right": "issue:9719", + "accept": false, + "reason": "A single-file loading regression for SD 1.5 `v_prediction` is unrelated to `disable_progress_bar` being ignored." + }, + { + "left": "issue:4390", + "right": "issue:6901", + "accept": false, + "reason": "Missing requirements vs missing `clip_sample` implementation: both are 'missing' in name only, not the same defect." + }, + { + "left": "issue:2532", + "right": "issue:3769", + "accept": true, + "reason": "These describe the same StableDiffusionPanoramaPipeline bug: a `get_views` defect causing the quartered/incorrect panorama output." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation is grounded in the packet and stays conservative: the rejected soft pairs are only matched on broad topical similarity, while issue:2532 vs issue:3769 is a plausible same-bug pair based on the panorama/get_views titles. 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10111", + "issue:10518", + "issue:10760", + "issue:10833", + "issue:10883", + "issue:10893", + "issue:11144", + "issue:11283", + "issue:11352", + "issue:11547", + "issue:11555", + "issue:11674", + "issue:12110", + "issue:12157", + "issue:12221", + "issue:1231", + "issue:12547", + "issue:13221", + "issue:13261", + "issue:2016", + "issue:2319", + "issue:2532", + "issue:3576", + "issue:4080", + "issue:4141", + "issue:4492", + "issue:4639", + "issue:5006", + "issue:5028", + "issue:5118", + "issue:5128", + "issue:5402", + "issue:5441", + "issue:5463", + "issue:5749", + "issue:5866", + "issue:5947", + "issue:6095", + "issue:6281", + "issue:7629", + "issue:8551", + "issue:9031", + "issue:9038", + "issue:9551", + "issue:9576", + "issue:9619" + ], + "soft_pairs": [ + "issue:4492|issue:5402", + "issue:11555|issue:8551", + "issue:1231|issue:2016", + "issue:10883|issue:9551", + "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:10833|issue:11352" + ], + "prepared_review_unit_hash": "8ad9cc2dee261c6ba8d915d03a182bfc4aea49119f86cbb1e0b62b93c6ac57b8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33512, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated feature requests, import errors, training-script bugs, and pipeline-specific regressions. None of the soft pairs look like the same underlying issue or change, so all soft edges are rejected.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4492", + "right": "issue:5402", + "accept": false, + "reason": "Different problems: a JSON/boolean typo (`false` vs `False`) versus a missing `compute_snr` import. No shared code path." + }, + { + "left": "issue:11555", + "right": "issue:8551", + "accept": false, + "reason": "Both mention `device_map`, but one is a broad feature question and the other is a specific VAE device-placement bug in an inpaint pipeline." + }, + { + "left": "issue:1231", + "right": "issue:2016", + "accept": false, + "reason": "Both are Flax-related, but one is a scheduler request and the other is a sampling regression. Not the same bug/change." + }, + { + "left": "issue:10883", + "right": "issue:9551", + "accept": false, + "reason": "Different feature requests in different model families; no shared concrete implementation target." + }, + { + "left": "issue:5118", + "right": "issue:5866", + "accept": false, + "reason": "Both touch ControlNet usage, but one is about reference-only support and the other is AnimateDiff+ControlNet integration. Different code paths." + }, + { + "left": "issue:5749", + "right": "issue:6095", + "accept": false, + "reason": "Both are IndexErrors, but they affect different pipelines and likely different scheduler logic. Too broad to merge." + }, + { + "left": "issue:10100", + "right": "issue:12221", + "accept": false, + "reason": "Both are feature requests, but for unrelated models/integrations. No duplicate underlying change." + }, + { + "left": "issue:10893", + "right": "issue:9619", + "accept": false, + "reason": "One requests CogVideoX ControlNet support; the other requests interrupt support for StableDiffusionControlNetPipeline. Unrelated changes." + }, + { + "left": "issue:13221", + "right": "issue:13261", + "accept": false, + "reason": "Both mention LoRA, but one is a general support issue and the other is a specific FLUX.2-klein-9B LoRA/Lokr compatibility problem." + }, + { + "left": "issue:4141", + "right": "issue:6281", + "accept": false, + "reason": "One is a MultiControlNet behavior bug; the other is an import error for `MultiControlNetModel`. Related area, but not the same defect." + }, + { + "left": "issue:11144", + "right": "issue:9576", + "accept": false, + "reason": "Different concerns: dtype initialization in Flax UNet versus `use_safetensors` propagation when loading pipelines." + }, + { + "left": "issue:11283", + "right": "issue:11674", + "accept": false, + "reason": "Same Wan ecosystem, but one is a deserialization failure and the other is a feature request for VACE inputs. Not the same issue." + }, + { + "left": "issue:5128", + "right": "issue:5463", + "accept": false, + "reason": "Unrelated errors: loading a local safetensors file versus an `image_latents` uninitialized variable." + }, + { + "left": "issue:12157", + "right": "issue:12547", + "accept": false, + "reason": "Both are training-time errors, but caused by different scripts and different root causes (`torch.device` iterable bug vs missing `--instance_prompt`)." + }, + { + "left": "issue:10111", + "right": "issue:10518", + "accept": false, + "reason": "Different pipelines and different bug reports; no evidence they share the same root cause." + }, + { + "left": "issue:10760", + "right": "issue:12110", + "accept": false, + "reason": "Different code paths and error types: import failure for an ONNX pipeline class versus UNet1D initialization bug." + }, + { + "left": "issue:4080", + "right": "issue:5947", + "accept": false, + "reason": "A new SDXL inpainting pipeline request is unrelated to a Diffusion-DPO policy objective request." + }, + { + "left": "issue:9031", + "right": "issue:9038", + "accept": false, + "reason": "Both are Flax feature questions, but one is about disabling the safety checker and the other about prompt weighting. Separate features." + }, + { + "left": "issue:5006", + "right": "issue:7629", + "accept": false, + "reason": "Both involve OOM, but in different models, versions, and circumstances. Not a single concrete bug." + }, + { + "left": "issue:10893", + "right": "issue:11547", + "accept": false, + "reason": "Both reference ControlNet, but they target different model families and different feature requests." + }, + { + "left": "issue:4639", + "right": "issue:5441", + "accept": false, + "reason": "Different training scripts and failures: dataloader multiprocessing versus missing `attn_processors` on WuerstchenPrior." + }, + { + "left": "issue:2319", + "right": "issue:2532", + "accept": false, + "reason": "A typo fix in one method is unrelated to a panorama pipeline `get_views` bug." + }, + { + "left": "issue:3576", + "right": "issue:5028", + "accept": false, + "reason": "Both are TypeErrors, but caused by different mechanisms and pipeline implementations. Not mergeable as one fix." + }, + { + "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-move warning. Different outcomes and 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": 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-50-3013", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10757", + "issue:11045", + "issue:11721", + "issue:12308", + "issue:1304", + "issue:1335", + "issue:1434", + "issue:1519", + "issue:1672", + "issue:1963", + "issue:3301", + "issue:3624", + "issue:4331", + "issue:4349", + "issue:4436", + "issue:463", + "issue:4880", + "issue:5112", + "issue:5392", + "issue:5465", + "issue:5474", + "issue:5873", + "issue:6054", + "issue:6087", + "issue:6095", + "issue:6162", + "issue:6283", + "issue:6323", + "issue:7049", + "issue:7138", + "issue:7611", + "issue:7682", + "issue:785", + "issue:8523", + "issue:8565", + "issue:8708", + "issue:8744", + "issue:8939", + "issue:8997", + "issue:9147", + "issue:9297", + "issue:9397", + "issue:9505", + "issue:9713", + "issue:9902", + "issue:9941" + ], + "soft_pairs": [ + "issue:11045|issue:11721", + "issue:1963|issue:5392", + "issue:1519|issue:785", + "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:5465|issue:7049", + "issue:7138|issue:8744", + "issue:9147|issue:9941", + "issue:7682|issue:9297" + ], + "prepared_review_unit_hash": "248dc76b6833d784100e959c26b24b49eb928e510e30b122b36e0c0ff77f927c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34590, + "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 mostly a grab bag of unrelated issues across different pipelines, training scripts, schedulers, conversion utilities, and model families. I do not see a true duplicate set here, so all soft pairs are rejected.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out because the items are not the same underlying bug; they cover distinct failures and feature requests across different code paths.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11045 is the most concrete, self-contained bug report in the set: it names a specific crash, a specific model, and a specific training script, making it a good representative issue if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11045", + "right": "issue:11721", + "accept": false, + "reason": "Both are load-time crashes, but they involve different pipelines/models (Flux Schnell vs SanaPipeline) and different failure contexts." + }, + { + "left": "issue:1963", + "right": "issue:5392", + "accept": false, + "reason": "Same broad topic of unconditional latent diffusion, but one is a generation issue and the other is a how-to/training question; not the same bug." + }, + { + "left": "issue:1519", + "right": "issue:785", + "accept": false, + "reason": "No overlap in underlying problem: noisy batch outputs on Apple M2 vs scheduler performance cost." + }, + { + "left": "issue:8523", + "right": "issue:8997", + "accept": false, + "reason": "Different failures in different models/code paths; only a superficial \u201cCUDA error / scheduler error\u201d similarity." + }, + { + "left": "issue:3301", + "right": "issue:4331", + "accept": false, + "reason": "Both involve DreamBooth/LoRA training, but one is a generic failure report and the other is a behavioral discrepancy between two scripts." + }, + { + "left": "issue:10757", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated: variable-name fix in a conversion script vs tokenizer loading failure for an SD3 model." + }, + { + "left": "issue:1672", + "right": "issue:6087", + "accept": false, + "reason": "Different subsystems and symptoms: checkpoint conversion image size mismatch vs LoRA config persistence causing wrong lora_alpha." + }, + { + "left": "issue:10302", + "right": "issue:10467", + "accept": false, + "reason": "FP8 inference noise is a runtime quality bug; the other appears to be about example-code/file-name output and is not the same issue." + }, + { + "left": "issue:1335", + "right": "issue:3624", + "accept": false, + "reason": "Different TypeErrors in different code paths; no evidence they share the same underlying defect." + }, + { + "left": "issue:4880", + "right": "issue:6054", + "accept": false, + "reason": "Different pipeline bugs: ControlNet image validation vs Euler scheduler timestep handling." + }, + { + "left": "issue:5474", + "right": "issue:9713", + "accept": false, + "reason": "A proposed new pipeline vs a controlnet-training implementation request; not duplicate bugs." + }, + { + "left": "issue:5873", + "right": "issue:9902", + "accept": false, + "reason": "ONNX export failure is unrelated to the conda version/package-management issue." + }, + { + "left": "issue:5112", + "right": "issue:6283", + "accept": false, + "reason": "Both are SDXL ControlNet img2img issues, but one is a float/shape TypeError and the other is a strength=0 edge-case; not clearly the same bug." + }, + { + "left": "issue:6095", + "right": "issue:8565", + "accept": false, + "reason": "Both mention IndexError, but they affect different pipelines and code paths (SVD scheduling vs SD3 LoRA loading)." + }, + { + "left": "issue:6162", + "right": "issue:7611", + "accept": false, + "reason": "Both are tensor/shape mismatch reports, but they concern different models and different components; too broad to merge." + }, + { + "left": "issue:1434", + "right": "issue:4349", + "accept": false, + "reason": "Same upscale pipeline family, but one is an OOM scaling issue and the other is a missing text_encoder compatibility bug." + }, + { + "left": "issue:6323", + "right": "issue:9505", + "accept": false, + "reason": "Completely different problems: a TensorRT attribute-setting issue vs a checkpoint key mismatch when upscaling." + }, + { + "left": "issue:12308", + "right": "issue:9397", + "accept": false, + "reason": "Different feature requests in unrelated areas: flash-attn support vs scheduler support for Hyper LoRAs." + }, + { + "left": "issue:1304", + "right": "issue:463", + "accept": false, + "reason": "A training-how-to question and a super-resolution model request are not duplicates." + }, + { + "left": "issue:4436", + "right": "issue:8708", + "accept": false, + "reason": "Both involve VAE/diffusers context, but one is conversion from civitai safetensors and the other is a missing SD3 training config field." + }, + { + "left": "issue:5465", + "right": "issue:7049", + "accept": false, + "reason": "Different pipeline bugs with different failure modes; no shared concrete code-path problem." + }, + { + "left": "issue:7138", + "right": "issue:8744", + "accept": false, + "reason": "SDXL UNet structure mismatch vs single-file loading for training are unrelated." + }, + { + "left": "issue:9147", + "right": "issue:9941", + "accept": false, + "reason": "Flux autopipeline error and a generic Colab stable-diffusion error do not describe the same defect." + }, + { + "left": "issue:7682", + "right": "issue:9297", + "accept": false, + "reason": "One is a multi-GPU runtime issue; the other is a LoRA loading performance complaint." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10025", + "issue:10334", + "issue:10336", + "issue:10712", + "issue:10896", + "issue:10952", + "issue:10954", + "issue:1100", + "issue:11050", + "issue:11137", + "issue:11222", + "issue:11422", + "issue:11519", + "issue:11721", + "issue:11724", + "issue:11779", + "issue:11907", + "issue:12195", + "issue:12771", + "issue:13300", + "issue:2294", + "issue:2444", + "issue:2606", + "issue:2838", + "issue:3338", + "issue:3651", + "issue:4005", + "issue:4043", + "issue:4116", + "issue:4349", + "issue:4399", + "issue:5034", + "issue:5523", + "issue:5897", + "issue:5934", + "issue:5947", + "issue:6351", + "issue:6866", + "issue:7185", + "issue:8482", + "issue:8885", + "issue:9248", + "issue:9374", + "issue:9393", + "issue:9471", + "issue:9516", + "issue:9958" + ], + "soft_pairs": [ + "issue:11422|issue:9393", + "issue:3651|issue:5523", + "issue:1100|issue:2444", + "issue:10952|issue:9471", + "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" + ], + "prepared_review_unit_hash": "59b8bfa533b8a14a098ea613a81873b24b793565b8a1420c2d540171b578e641", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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 loose mix of diffusers issues around FLUX/SD3/Sana/Wan transformer conditioning, attention masks, LoRA loading, dtype mismatches, and unrelated support requests. None of the soft pairs look like true duplicates of the same concrete bug/change.", + "confidence": 0.28, + "canonical_issue_reason": "issue:10025 is the broadest representative of the FLUX transformer attention/mask thread and is closer than the others to the shared transformer-conditioning theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10025 is the best single issue to anchor this cluster because it is concrete, model-specific, and sits near the center of the FLUX attention-related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11422", + "right": "issue:9393", + "accept": false, + "reason": "Different failures: validation-prompt crash during training vs DeepSpeed save-model failure." + }, + { + "left": "issue:3651", + "right": "issue:5523", + "accept": false, + "reason": "One is a multi-GPU training problem; the other is run-to-run inconsistency, not the same bug." + }, + { + "left": "issue:1100", + "right": "issue:2444", + "accept": false, + "reason": "Unrelated error paths: CLIPTextTransformer.device exception vs dreambooth inpaint subprocess failure." + }, + { + "left": "issue:10952", + "right": "issue:9471", + "accept": false, + "reason": "LoRA adapter-name lookup error and file-extension/resource-type parsing error are different issues." + }, + { + "left": "issue:10896", + "right": "issue:11519", + "accept": false, + "reason": "Both are support requests, but for different models and no shared concrete defect." + }, + { + "left": "issue:2294", + "right": "issue:3338", + "accept": false, + "reason": "Importing a specific pipeline is not the same as slow package import performance." + }, + { + "left": "issue:4116", + "right": "issue:7185", + "accept": false, + "reason": "Embedding-handling bug vs PyTorch version support question; not the same code-path problem." + }, + { + "left": "issue:5947", + "right": "issue:8482", + "accept": false, + "reason": "Policy-objective request and model-support request are unrelated." + }, + { + "left": "issue:9374", + "right": "issue:9958", + "accept": false, + "reason": "Different components and different changes: AutoPipeline FLUX support vs Autoencoder tiling support." + }, + { + "left": "issue:4043", + "right": "issue:4349", + "accept": false, + "reason": "Both involve embeddings, but the affected pipelines and failure modes differ." + }, + { + "left": "issue:11721", + "right": "issue:8885", + "accept": false, + "reason": "SanaPipeline load crash is unrelated to clip-retrieval/modifier-token installation issues." + }, + { + "left": "issue:10334", + "right": "issue:10336", + "accept": false, + "reason": "Same model family, but one is MacOS NaNs/grey output and the other is activation explosion/clamping." + }, + { + "left": "issue:11907", + "right": "issue:12771", + "accept": false, + "reason": "Both are scheduler-related, but one is FLUX pipeline incompatibility and the other is a specific out-of-bounds scheduler bug." + }, + { + "left": "issue:2606", + "right": "issue:5897", + "accept": false, + "reason": "DeepSpeed save_state hang and device-mismatch LoRA training error are different problems." + }, + { + "left": "issue:5034", + "right": "issue:6351", + "accept": false, + "reason": "Progress-bar display issue and DDP disable_adapters attribute error are unrelated." + }, + { + "left": "issue:4399", + "right": "issue:5934", + "accept": false, + "reason": "Both mention torch.compile, but one is specifically about CPU offload interaction while the other is a broader compile error report." + }, + { + "left": "issue:10025", + "right": "issue:9516", + "accept": false, + "reason": "Both touch FLUX transformer attention plumbing, but one is about attention masks and the other about joint_attention_kwargs forwarding; not the same concrete bug." + }, + { + "left": "issue:10712", + "right": "issue:11050", + "accept": false, + "reason": "Inference RuntimeError with prompt_embeds vs training dtype-casting issue; different code paths." + }, + { + "left": "issue:10954", + "right": "issue:11724", + "accept": false, + "reason": "LoRA loading on FLUX vs Chroma attention masking are different model-specific issues." + }, + { + "left": "issue:11137", + "right": "issue:13300", + "accept": false, + "reason": "Latte dtype mismatch and CPU generation failures for SD3.5/FLUX are not the same underlying defect." + }, + { + "left": "issue:11222", + "right": "issue:11779", + "accept": false, + "reason": "Wan LoRA support request and Wan VACE mask-padding bug are different kinds of tasks." + }, + { + "left": "issue:12195", + "right": "issue:9248", + "accept": false, + "reason": "Version-specific AutoencoderKL torch API failure is not the same as a pip installation command request." + }, + { + "left": "issue:6866", + "right": "issue:9958", + "accept": false, + "reason": "IP-Adapter support request and Autoencoder tiling support are unrelated feature requests." + }, + { + "left": "issue:2838", + "right": "issue:4005", + "accept": false, + "reason": "ControlNet pipeline feature request and inpaint aspect-ratio bug 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": 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-50-3013", + "nodes": [ + "issue:10057", + "issue:10227", + "issue:10492", + "issue:10514", + "issue:10705", + "issue:10952", + "issue:11570", + "issue:13191", + "issue:13232", + "issue:1536", + "issue:172", + "issue:177", + "issue:181", + "issue:2712", + "issue:2844", + "issue:3284", + "issue:3679", + "issue:3799", + "issue:4542", + "issue:4672", + "issue:4779", + "issue:5009", + "issue:5168", + "issue:5284", + "issue:5325", + "issue:5399", + "issue:5645", + "issue:5857", + "issue:5881", + "issue:5963", + "issue:6096", + "issue:6141", + "issue:6444", + "issue:6548", + "issue:6593", + "issue:6657", + "issue:6809", + "issue:6870", + "issue:7629", + "issue:7877", + "issue:7982", + "issue:8410", + "issue:8429", + "issue:8801", + "issue:8834", + "issue:9648", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:2844|issue:5009", + "issue:3679|issue:4779", + "issue:10057|issue:7982", + "issue:4542|issue:6593", + "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" + ], + "prepared_review_unit_hash": "389ac52b1742176531fc0d148c8947b7468cae14e95f2143461293ef9e54b119", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33901, + "estimated_input_tokens": 8476, + "estimated_eval_tokens": 17208 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These look like a loose set of unrelated Diffusers issues with a few superficial title similarities, not a true duplicate cluster. None of the soft pairs appear to be the same underlying bug or change.", + "confidence": 0.88, + "canonical_issue_reason": "issue:11570 is the strongest standalone bug report here: it has a concrete failure mode, clear affected area (load_lora_weights with quantized text encoders), and broad user impact.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11570 is the best representative issue among the set because it is specific, reproducible, and actionable; most other issues are either feature requests or unrelated regressions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2844", + "right": "issue:5009", + "accept": false, + "reason": "Different pipelines and failures: StableUnCLIP image-embeds handling vs Wuerstchen error. Shared vagueness only." + }, + { + "left": "issue:3679", + "right": "issue:4779", + "accept": false, + "reason": "Both are about video models, but one is about new text2video models and the other an image-to-video pipeline; not the same bug." + }, + { + "left": "issue:10057", + "right": "issue:7982", + "accept": false, + "reason": "Different code paths: from_single_file token/loading issue vs from_pipe with MultiControlNetModel." + }, + { + "left": "issue:4542", + "right": "issue:6593", + "accept": false, + "reason": "One is about img2img output count, the other is a request to add load_lora_weights support; not the same underlying problem." + }, + { + "left": "issue:4672", + "right": "issue:8834", + "accept": false, + "reason": "VRAM reduction for SDXL LoRA training is unrelated to releasing SD3 ControlNet training code." + }, + { + "left": "issue:6870", + "right": "issue:9648", + "accept": false, + "reason": "Both mention enable_vae_tiling, but one is missing support in pipelines and the other is a memory overflow regression; distinct bugs." + }, + { + "left": "issue:5399", + "right": "issue:8429", + "accept": false, + "reason": "Custom inpainting dtype mismatch is unrelated to I2VGenXL inference-script issues." + }, + { + "left": "issue:10492", + "right": "issue:6809", + "accept": false, + "reason": "Both involve LoRA/quantization, but one is torchao quantize + fuse failure and the other is PEFT adapter loading; different failure modes." + }, + { + "left": "issue:5168", + "right": "issue:8410", + "accept": false, + "reason": "ControlNet-XS support and TextDiffuser pipeline support are separate feature requests." + }, + { + "left": "issue:5284", + "right": "issue:8801", + "accept": false, + "reason": "ControlNet-LLLite support and Kolors support are unrelated model support requests." + }, + { + "left": "issue:6141", + "right": "issue:7877", + "accept": false, + "reason": "ControlNet parameter support vs Attention block out_dim support are unrelated feature requests." + }, + { + "left": "issue:5963", + "right": "issue:9972", + "accept": false, + "reason": "Kandinsky embeds-vs-prompts bug is unrelated to CogX's MacOS buffer problem." + }, + { + "left": "issue:10952", + "right": "issue:11570", + "accept": false, + "reason": "Both touch LoRA loading, but one is an adapter-name mismatch and the other is a .to() cast problem on quantized text encoders; not the same bug." + }, + { + "left": "issue:172", + "right": "issue:177", + "accept": false, + "reason": "Progress bar options and from_pretrained subfolder documentation are unrelated." + }, + { + "left": "issue:13191", + "right": "issue:13232", + "accept": false, + "reason": "Elastic-DiT support and LTX-2.3 support are separate model-support requests." + }, + { + "left": "issue:3799", + "right": "issue:5325", + "accept": false, + "reason": "Scheduler type inference bug and packaging type distribution issue are unrelated." + }, + { + "left": "issue:5857", + "right": "issue:5881", + "accept": false, + "reason": "Both mention AnimateDiff/LCM, but one is a LoRA compatibility issue and the other is a quality regression; not the same concrete bug." + }, + { + "left": "issue:6096", + "right": "issue:7629", + "accept": false, + "reason": "SVD torch.compile dynamic shape failure is unrelated to SVD OOM on PyTorch 1.13.1." + }, + { + "left": "issue:10227", + "right": "issue:10514", + "accept": false, + "reason": "LoRA feature-size support error and Sana resolution-binning/sample_size issue are unrelated." + }, + { + "left": "issue:181", + "right": "issue:3284", + "accept": false, + "reason": "Train script image writing failure is unrelated to accelerate failure in dreambooth LoRA training." + }, + { + "left": "issue:2712", + "right": "issue:6444", + "accept": false, + "reason": "Missing norm_num_groups config and missing peft_config on CLIPTextModel are different initialization/training issues." + }, + { + "left": "issue:10705", + "right": "issue:9904", + "accept": false, + "reason": "Same pipeline family, but one is performance degradation when reusing a FluxPipeline and the other is output-shape rounding; different bugs." + }, + { + "left": "issue:1536", + "right": "issue:5645", + "accept": false, + "reason": "Custom pipeline incompatibility with newer diffusers and LCM core support problems are not the same issue." + }, + { + "left": "issue:6548", + "right": "issue:6657", + "accept": false, + "reason": "RGBA latent handling bug in img2img is unrelated to frames/channels swapped in UNet3DConditionModel." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10139", + "issue:10231", + "issue:10382", + "issue:10722", + "issue:10952", + "issue:11536", + "issue:11644", + "issue:1261", + "issue:12610", + "issue:1314", + "issue:1657", + "issue:170", + "issue:1742", + "issue:1909", + "issue:1925", + "issue:201", + "issue:2518", + "issue:3643", + "issue:3915", + "issue:3975", + "issue:4002", + "issue:4042", + "issue:4405", + "issue:444", + "issue:4578", + "issue:4913", + "issue:4954", + "issue:5485", + "issue:5598", + "issue:5607", + "issue:5630", + "issue:5678", + "issue:5846", + "issue:5866", + "issue:5989", + "issue:6068", + "issue:6460", + "issue:6809", + "issue:7012", + "issue:7591", + "issue:7606", + "issue:8612", + "issue:8708", + "issue:8874", + "issue:8975", + "issue:929", + "issue:9477", + "issue:9895" + ], + "soft_pairs": [ + "issue:1261|issue:1314", + "issue:10231|issue:8975", + "issue:10382|issue:12610", + "issue:5630|issue:6068", + "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:1657|issue:4405", + "issue:4578|issue:8708", + "issue:5989|issue:9477", + "issue:10139|issue:11644", + "issue:11536|issue:9895" + ], + "prepared_review_unit_hash": "d7914eb5a2034d0ae7e71032f5774a62b8fead97132314ce47b81157bf478e6b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 false-positive similarity cluster: the issues cover many unrelated bugs and features, so none of the soft pairs should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated topics (attention, loaders, schedulers, training, docs, LoRA, VAE, device mismatch), so this is not a duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative because the cluster is heterogeneous; selecting one would misrepresent the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1261", + "right": "issue:1314", + "accept": false, + "reason": "Both are xformers/backward errors, but one is a CUDA stride assert and the other is a Windows ME/gradient issue; not the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8975", + "accept": false, + "reason": "Both mention import errors, but they affect different imports and have different root causes." + }, + { + "left": "issue:10382", + "right": "issue:12610", + "accept": false, + "reason": "These are different failures in different code paths: VAE return-type mismatch vs. Quanto/group-offload device mismatch." + }, + { + "left": "issue:5630", + "right": "issue:6068", + "accept": false, + "reason": "Both are SDXL sampling quality problems, but they involve different schedulers and distinct symptoms; not one concrete bug." + }, + { + "left": "issue:1314", + "right": "issue:5678", + "accept": false, + "reason": "Attention-related errors, but one is a Windows xformers backward issue and the other is higher-order-derivative behavior with SDPA." + }, + { + "left": "issue:170", + "right": "issue:444", + "accept": false, + "reason": "Both are scheduler-related, but one is an unexpected eta argument and the other is an index error on step counts." + }, + { + "left": "issue:201", + "right": "issue:929", + "accept": false, + "reason": "A test request and an attention-optimization question are not the same underlying issue." + }, + { + "left": "issue:2518", + "right": "issue:4002", + "accept": false, + "reason": "Different missing features in different examples/pipelines; no shared bug path." + }, + { + "left": "issue:4913", + "right": "issue:5866", + "accept": false, + "reason": "Both mention ControlNet, but these are different scenarios and not the same change or bug." + }, + { + "left": "issue:5598", + "right": "issue:5989", + "accept": false, + "reason": "Unrelated failures: a text encoder helper bug versus a safetensors bug." + }, + { + "left": "issue:5846", + "right": "issue:7012", + "accept": false, + "reason": "Training checkpoint resume error and v-prediction image quality issues are different problems." + }, + { + "left": "issue:1742", + "right": "issue:1909", + "accept": false, + "reason": "One is a performance inconsistency with identical prompts; the other is a generator API mismatch." + }, + { + "left": "issue:4042", + "right": "issue:6460", + "accept": false, + "reason": "A feature-composition question versus an endless-loading bug; not duplicates." + }, + { + "left": "issue:10952", + "right": "issue:6809", + "accept": false, + "reason": "Both involve LoRA loading, but the adapter-name error and PEFT loading regression are different failure modes." + }, + { + "left": "issue:5485", + "right": "issue:8612", + "accept": false, + "reason": "ControlNet batch slowness and mixed-precision incompatibility are unrelated." + }, + { + "left": "issue:10722", + "right": "issue:7606", + "accept": false, + "reason": "Different model/training issues with different error shapes; no shared concrete code path." + }, + { + "left": "issue:1925", + "right": "issue:3915", + "accept": false, + "reason": "Half-precision inpainting and torch.compile for text-to-video are unrelated bugs." + }, + { + "left": "issue:3975", + "right": "issue:7591", + "accept": false, + "reason": "A typo in an error message is unrelated to the HeaderTooLarge loading failure." + }, + { + "left": "issue:3643", + "right": "issue:5607", + "accept": false, + "reason": "Different runtime shape/size failures in different pipeline stages." + }, + { + "left": "issue:4954", + "right": "issue:8874", + "accept": false, + "reason": "Both are load/unpickling errors, but they arise from different loaders and artifacts; not the same bug." + }, + { + "left": "issue:1657", + "right": "issue:4405", + "accept": false, + "reason": "A request for notebook examples is not the same as adding a new training script." + }, + { + "left": "issue:4578", + "right": "issue:8708", + "accept": false, + "reason": "Documentation wording and a missing config field in training examples are different issues." + }, + { + "left": "issue:5989", + "right": "issue:9477", + "accept": false, + "reason": "Completely unrelated: a safetensors bug versus a GatheredParameters callable error." + }, + { + "left": "issue:10139", + "right": "issue:11644", + "accept": false, + "reason": "Both involve pipeline initialization, but they concern different pipelines and distinct bugs." + }, + { + "left": "issue:11536", + "right": "issue:9895", + "accept": false, + "reason": "Same pipeline family, but prompt adherence regression and device-mismatch runtime error 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": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 232, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10239", + "issue:10314", + "issue:10446", + "issue:10450", + "issue:10489", + "issue:1100", + "issue:11721", + "issue:11973", + "issue:12110", + "issue:1524", + "issue:1922", + "issue:2310", + "issue:2332", + "issue:2466", + "issue:2712", + "issue:2783", + "issue:2830", + "issue:3029", + "issue:3109", + "issue:3591", + "issue:3624", + "issue:3661", + "issue:4125", + "issue:490", + "issue:5109", + "issue:5171", + "issue:5344", + "issue:5670", + "issue:579", + "issue:5927", + "issue:6565", + "issue:7276", + "issue:7303", + "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:10489|issue:12110", + "issue:3624|issue:5171", + "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" + ], + "prepared_review_unit_hash": "d33a0ea1a8132c75f9b9d1e8467d5065eb8d0d300bc61424bb020305aaf8db25", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34007, + "estimated_input_tokens": 8502, + "estimated_eval_tokens": 17260 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly superficial matches by model/pipeline name or training theme, but they describe different bugs, feature requests, or error modes. None look like the same underlying change or defect, so all candidate duplicate links 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:10489", + "right": "issue:12110", + "accept": false, + "reason": "Different failures in different areas: SanaPipeline example bug vs UNet1DModel initialization bug." + }, + { + "left": "issue:3624", + "right": "issue:5171", + "accept": false, + "reason": "Both are TypeErrors, but the causes are unrelated: getattr attribute misuse vs unexpected constructor kwarg." + }, + { + "left": "issue:10239", + "right": "issue:10314", + "accept": false, + "reason": "Same pipeline, but one is about CPU offload support and the other about NaN outputs; different bugs." + }, + { + "left": "issue:11721", + "right": "issue:8874", + "accept": false, + "reason": "SanaPipeline load crash is not the same as single-file CKPT unpickling failure." + }, + { + "left": "issue:5670", + "right": "issue:9112", + "accept": false, + "reason": "Non-square image support in PixArtAlpha is unrelated to Auraflow tensor shape mismatch." + }, + { + "left": "issue:2310", + "right": "issue:5927", + "accept": false, + "reason": "Both mention lama/inpainting, but one is an LDM inpainting cleaner topic and the other is an IP-Adapter/reference inpaint combination." + }, + { + "left": "issue:2332", + "right": "issue:2830", + "accept": false, + "reason": "Dreambooth inference error and video-model usage question are unrelated." + }, + { + "left": "issue:3029", + "right": "issue:3591", + "accept": false, + "reason": "Custom ControlNet resolution and ControlNet loss-curve confusion are different issues." + }, + { + "left": "issue:3109", + "right": "issue:953", + "accept": false, + "reason": "Both ask about smaller images, but one is a generation request and the other is a usage guidance question, not the same bug." + }, + { + "left": "issue:3661", + "right": "issue:5344", + "accept": false, + "reason": "from_ckpt SD2.x conversion failure is unrelated to missing omegaconf dependency." + }, + { + "left": "issue:1100", + "right": "issue:5109", + "accept": false, + "reason": "CLIPTextTransformer device attribute error is unrelated to SDXL ControlNet LoRA loading exception." + }, + { + "left": "issue:1524", + "right": "issue:2466", + "accept": false, + "reason": "Textual inversion training quality and checkpoint retention behavior are unrelated." + }, + { + "left": "issue:2712", + "right": "issue:579", + "accept": false, + "reason": "Config defaulting warning and missing config.json are different config-loading problems." + }, + { + "left": "issue:4125", + "right": "issue:6565", + "accept": false, + "reason": "LoRA fine-tuning loss-curve question does not match DPO diffusion loss spikes/noisy samples." + }, + { + "left": "issue:7538", + "right": "issue:7735", + "accept": false, + "reason": "Custom dataset training issue is too broad; caption_column not found is a specific dataset-column error, not the same bug." + }, + { + "left": "issue:10446", + "right": "issue:7466", + "accept": false, + "reason": "Multi-GPU/model-sharding incompatibility with FluxControlNet is unrelated to torch.compile multi-ControlNet in SDXL inpaint." + }, + { + "left": "issue:10450", + "right": "issue:9516", + "accept": false, + "reason": "Flux block implementation mismatch is not the same as joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:11973", + "right": "issue:9163", + "accept": false, + "reason": "Missing CLI argument in a training script is unrelated to tensor bugs in another Flux training script." + }, + { + "left": "issue:1922", + "right": "issue:490", + "accept": false, + "reason": "Undefined init_git_repo in a notebook is unrelated to memory usage differences." + }, + { + "left": "issue:2783", + "right": "issue:7303", + "accept": false, + "reason": "ControlNet pipeline creation request and zero_snr scheduler support are unrelated changes." + }, + { + "left": "issue:7276", + "right": "issue:9778", + "accept": false, + "reason": "Dreambooth pretrained_model network errors are not the same as a generic tutorial bug." + }, + { + "left": "issue:8482", + "right": "issue:8577", + "accept": false, + "reason": "Both concern SD3, but one is model support and the other is differential diffusion functionality." + }, + { + "left": "issue:9637", + "right": "issue:9876", + "accept": false, + "reason": "XFormers attention-mask bf16 shape bug is unrelated to VRAM not being released after LoRA training." + }, + { + "left": "issue:9227", + "right": "issue:9358", + "accept": false, + "reason": "Flux training failure on FLUX.1-dev is not the same as redundant text-encoder reinitialization in the training 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": 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-50-3013", + "nodes": [ + "issue:10896", + "issue:1099", + "issue:11033", + "issue:11824", + "issue:12501", + "issue:1260", + "issue:1290", + "issue:13001", + "issue:13298", + "issue:1363", + "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:6363", + "issue:6446", + "issue:6520", + "issue:6530", + "issue:6812", + "issue:7441", + "issue:746", + "issue:7460", + "issue:7675", + "issue:7751", + "issue:8551", + "issue:8939", + "issue:9309", + "issue:9320", + "issue:9397", + "issue:9630", + "issue:9825" + ], + "soft_pairs": [ + "issue:6363|issue:6812", + "issue:1363|issue:746", + "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" + ], + "prepared_review_unit_hash": "e561bd828a41a8f6a7c248154a7630448f7aa8e767cfa594dfdaf681fc02fa36", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33430, + "estimated_input_tokens": 8358, + "estimated_eval_tokens": 16972 + }, + "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 and bug reports across training, schedulers, Flux, ControlNet, VAE, install/import, and model-loading issues. No soft edge pair looks like the same underlying change or bug.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue stands out because the cluster is heterogeneous and the items do not share a single underlying bug or feature request.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative; the tickets span many unrelated code paths and products, so any one choice would be arbitrary.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6363", + "right": "issue:6812", + "accept": false, + "reason": "Both are training-time errors, but one is FP16 unscale in LoRA while the other is a Q/K/V dtype mismatch; different failure modes and code paths." + }, + { + "left": "issue:1363", + "right": "issue:746", + "accept": false, + "reason": "Both involve ONNX/import-style problems, but one is a scheduler mismatch in an LPW community pipeline and the other is an ONNX revision loading issue for img2img; not the same bug." + }, + { + "left": "issue:1546", + "right": "issue:6055", + "accept": false, + "reason": "Different problems: truncation warning causing batched-input errors versus a generic accelerate error; no shared concrete code-path." + }, + { + "left": "issue:5605", + "right": "issue:7675", + "accept": false, + "reason": "One is SDXL DreamBooth caption support, the other is MLX quantized linear support; feature requests for different subsystems." + }, + { + "left": "issue:11033", + "right": "issue:13001", + "accept": false, + "reason": "Both are model-loading issues, but one is SD1.5 UNet single-file loading and the other is Flux2.Klein GGUF shape mismatch; different models and loaders." + }, + { + "left": "issue:6520", + "right": "issue:9630", + "accept": false, + "reason": "Both affect training/validation flows, but one is blank validation output in T2I adapter training and the other is a multi-GPU/single-GPU ControlNet configuration error; unrelated root causes." + }, + { + "left": "issue:12501", + "right": "issue:13298", + "accept": false, + "reason": "One reports a VAE decoder graph break, the other a CUDA generator-device bug during image generation; not the same code path." + }, + { + "left": "issue:4804", + "right": "issue:4830", + "accept": false, + "reason": "Both are LoRA/ControlNet related runtime issues, but one is a dictionary mutation bug in LoraLoaderMixin and the other is a MultiControlNet tensor-size mismatch; distinct failures." + }, + { + "left": "issue:3279", + "right": "issue:7751", + "accept": false, + "reason": "Different conversion/training scripts: DreamBooth LoRA checkpoint resume errors versus AnimateDiff motion-module conversion errors." + }, + { + "left": "issue:5402", + "right": "issue:6073", + "accept": false, + "reason": "Both mention user-facing import/error reports, but one is missing compute_snr and the other is a beginner DreamBooth setup problem; not the same missing symbol or bug." + }, + { + "left": "issue:10896", + "right": "issue:9825", + "accept": false, + "reason": "SkyReels-A1 portrait animation support and FLUX IPAdapter support are separate feature requests for different pipelines." + }, + { + "left": "issue:11824", + "right": "issue:9309", + "accept": false, + "reason": "Both are Flux pipeline bugs, but one is multi-image input for FluxKontextPipeline and the other is FluxControlNetPipeline on Flux 1 schnell; different pipeline behavior." + }, + { + "left": "issue:1290", + "right": "issue:3086", + "accept": false, + "reason": "Community DreamArtist request versus an audio-input/output-image issue; unrelated functionality." + }, + { + "left": "issue:3089", + "right": "issue:7460", + "accept": false, + "reason": "Different scheduler/model issues: DDPM scheduler bug versus AdaLayerNorm bug; no shared concrete bug." + }, + { + "left": "issue:3427", + "right": "issue:6530", + "accept": false, + "reason": "makeavid-sd-jax and SDXL K-diffusion with ControlNet are unrelated feature/support issues in different stacks." + }, + { + "left": "issue:3612", + "right": "issue:541", + "accept": false, + "reason": "One asks how to create a ControlNet with a specific preprocessor, the other is a SageMaker deployment issue; not the same underlying change." + }, + { + "left": "issue:5570", + "right": "issue:6520", + "accept": false, + "reason": "compute_snr missing from training_utils and blank validation results in adapter training are separate issues with different symptoms and code paths." + }, + { + "left": "issue:5712", + "right": "issue:7441", + "accept": false, + "reason": "Windows Python 3.12 pip install failure versus pytest not running on Python 3.12; both platform-related but not the same bug." + }, + { + "left": "issue:6141", + "right": "issue:9397", + "accept": false, + "reason": "Both are feature requests for scheduler/control support, but one is ControlNet control_mode/resize_mode support and the other is SGMUniform scheduler for Hyper LoRAs; different features." + }, + { + "left": "issue:1604", + "right": "issue:3551", + "accept": false, + "reason": "lpw_stable_diffusion.py breakage on diffusers 0.9.0 is unrelated to LoRA disabling xFormers; different regression and subsystem." + }, + { + "left": "issue:6446", + "right": "issue:9320", + "accept": false, + "reason": "Colab minimal loading failure for SD 2.1 is unrelated to custom diffusion model save/load behavior." + }, + { + "left": "issue:8551", + "right": "issue:8939", + "accept": false, + "reason": "Both involve model/device loading, but one is VAE latent device placement with device_map and the other is tokenizer loading for SD3 medium; different component failures." + }, + { + "left": "issue:1857", + "right": "issue:259", + "accept": false, + "reason": "General test coverage concern versus a progress bar bug; not the same issue." + }, + { + "left": "issue:1099", + "right": "issue:1260", + "accept": false, + "reason": "DreamBooth class-name configuration issue versus missing DPMSolverMultistepScheduler import; 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": 234, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10045", + "issue:10231", + "issue:10569", + "issue:10800", + "issue:10952", + "issue:11199", + "issue:11486", + "issue:1161", + "issue:11700", + "issue:1207", + "issue:12624", + "issue:2132", + "issue:2646", + "issue:3010", + "issue:3401", + "issue:3412", + "issue:4229", + "issue:4376", + "issue:4438", + "issue:444", + "issue:4445", + "issue:4534", + "issue:4605", + "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:7682", + "issue:7722", + "issue:782", + "issue:7856", + "issue:8234", + "issue:8801", + "issue:8828", + "issue:9027", + "issue:9403", + "issue:9495", + "issue:9602", + "issue:9660", + "issue:9825" + ], + "soft_pairs": [ + "issue:11486|issue:8828", + "issue:10569|issue:10800", + "issue:2646|issue:444", + "issue:4376|issue:4438", + "issue:3401|issue:5743", + "issue:9602|issue:9660", + "issue:10231|issue:7682", + "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" + ], + "prepared_review_unit_hash": "50144f2394b09795bff49d9c3d186897831a0c2f3599cfa5c279a9c24bd5ec95", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34002, + "estimated_input_tokens": 8501, + "estimated_eval_tokens": 17258 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated import errors, training bugs, feature requests, and documentation tasks. None of the soft pairs looks like the same underlying issue, so this is not a true duplicate cluster.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: there is no single bug or feature that the rest clearly duplicate; the items span different subsystems, error modes, and time periods.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong global issue candidate; none of these issues is representative of the others or suitable as a deduplication anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11486", + "right": "issue:8828", + "accept": false, + "reason": "Feature request for enabling xformers in a training script vs a separate SD3 memory/error report; different problem and scope." + }, + { + "left": "issue:10569", + "right": "issue:10800", + "accept": false, + "reason": "CPU memory-consumption complaint vs BnB int4 sequential offload quantization type error; different failure modes." + }, + { + "left": "issue:2646", + "right": "issue:444", + "accept": false, + "reason": "Tiled VAE IndexError vs num_inference_steps-specific IndexError; same broad theme only, not the same bug." + }, + { + "left": "issue:4376", + "right": "issue:4438", + "accept": false, + "reason": "Both are SDXL errors, but one is on load_textual_inversion and the other is a generic pipeline crash; no shared concrete code path." + }, + { + "left": "issue:3401", + "right": "issue:5743", + "accept": false, + "reason": "Class-label requirement for num_class_embeds vs training stuck at 0%; unrelated training issues." + }, + { + "left": "issue:9602", + "right": "issue:9660", + "accept": false, + "reason": "Missing adapter name in active adapters vs from_pretrained not switching modules to eval mode; different bugs." + }, + { + "left": "issue:10231", + "right": "issue:7682", + "accept": false, + "reason": "Ubuntu tutorial import error vs multi-GPU training instability; different contexts and symptoms." + }, + { + "left": "issue:10045", + "right": "issue:11199", + "accept": false, + "reason": "Generic pipeline import problem vs specific diffusers.pipelines.onnx_utils import failure; not the same module or root cause." + }, + { + "left": "issue:1207", + "right": "issue:2132", + "accept": false, + "reason": "CUDA runtime symbol error vs Accelerator.trackers attribute error; unrelated environment/API issues." + }, + { + "left": "issue:3010", + "right": "issue:3412", + "accept": false, + "reason": "Distributed inference docs vs a stable diffusion next-steps docs update; documentation-only and unrelated." + }, + { + "left": "issue:5118", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet reference_only usage question vs SD XL K-diffusion with ControlNet; different asks and likely different code paths." + }, + { + "left": "issue:5371", + "right": "issue:9403", + "accept": false, + "reason": "BLIP inpainting pipe support request vs Flux IPAdapter support request; different feature work." + }, + { + "left": "issue:6093", + "right": "issue:9027", + "accept": false, + "reason": "Pruna integration request vs argument-name consistency issue; different kinds of changes." + }, + { + "left": "issue:7722", + "right": "issue:8234", + "accept": false, + "reason": "Animatediff_controlnet + IPAdapter error vs ip_adapter_scale dict multiplication TypeError; both touch adapters, but the concrete bugs differ." + }, + { + "left": "issue:8801", + "right": "issue:9825", + "accept": false, + "reason": "Kolors support request vs FLUX IPAdapter support request; separate model families and features." + }, + { + "left": "issue:8234", + "right": "issue:9495", + "accept": false, + "reason": "TypeError from ip_adapter_scale dict handling vs SDXL PAG with IPAdapter not working; distinct adapter bugs." + }, + { + "left": "issue:4907", + "right": "issue:5799", + "accept": false, + "reason": "SDXL inpainting warning vs strength keyword request for inpainting; not the same issue." + }, + { + "left": "issue:4229", + "right": "issue:4534", + "accept": false, + "reason": "Multi-GPU DreamBooth training error vs MPS validation crash in SDXL DreamBooth; different environments and failures." + }, + { + "left": "issue:2646", + "right": "issue:761", + "accept": false, + "reason": "Tiled VAE IndexError vs DreamBooth 8-bit Adam training failure; unrelated bugs." + }, + { + "left": "issue:11700", + "right": "issue:12624", + "accept": false, + "reason": "Pruna loading integration request vs adding strength to WanImageToVideoPipeline; different feature additions." + }, + { + "left": "issue:4933", + "right": "issue:782", + "accept": false, + "reason": "Missing pytorch_model.bin after training vs model download breakage after auth-token removal; different stages of the workflow." + }, + { + "left": "issue:6442", + "right": "issue:6445", + "accept": false, + "reason": "FP16 gradient unscale error vs caption_column value validation error; different training-time failures." + }, + { + "left": "issue:10952", + "right": "issue:7856", + "accept": false, + "reason": "LoRA adapter name mismatch vs tokenizer multi-vector token already exists; different subsystems and root causes." + }, + { + "left": "issue:4605", + "right": "issue:7389", + "accept": false, + "reason": "Long-prompt-weighting inpaint error vs SDXL from_single_file loading error; not the same pipeline bug." + }, + { + "left": "issue:1161", + "right": "issue:4445", + "accept": false, + "reason": "Model conversion request vs LoRA finetuning question; unrelated feature/help 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": 235, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10016", + "issue:10336", + "issue:10518", + "issue:10952", + "issue:11127", + "issue:11286", + "issue:11342", + "issue:11437", + "issue:11584", + "issue:11790", + "issue:1181", + "issue:12096", + "issue:13104", + "issue:13249", + "issue:1367", + "issue:1388", + "issue:1934", + "issue:1964", + "issue:2294", + "issue:2312", + "issue:2507", + "issue:2774", + "issue:2995", + "issue:3209", + "issue:3338", + "issue:3391", + "issue:4071", + "issue:4445", + "issue:4615", + "issue:4675", + "issue:4789", + "issue:4912", + "issue:4964", + "issue:5325", + "issue:557", + "issue:6705", + "issue:6823", + "issue:7450", + "issue:7572", + "issue:7706", + "issue:7770", + "issue:7799", + "issue:8534", + "issue:9003", + "issue:9393", + "issue:9546", + "issue:993" + ], + "soft_pairs": [ + "issue:1181|issue:4445", + "issue:3338|issue:4615", + "issue:10016|issue:7770", + "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" + ], + "prepared_review_unit_hash": "cd82e7cec942dd5453cfed3ac7b27a7b252d8bf23d375656c0d2b64ace0bce28", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32994, + "estimated_input_tokens": 8249, + "estimated_eval_tokens": 16754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous; the soft pairs are lexical near-matches rather than true duplicates. Most pairings share only broad terms like loading, LoRA, shape mismatch, or offloading, but they point to different models, pipelines, or failure modes. No PRs are present.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 7770 is the clearest concrete bug report among the loading/shape-mismatch style issues and is the best representative of that small subset, though the overall cluster is not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 7770 is the most specific and actionable issue in the list; it has a clear symptom, code-path, and reproduction class compared with the more generic or unrelated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1181", + "right": "issue:4445", + "accept": false, + "reason": "Scratch training vs LoRA fine-tuning guidance; same broad ML area, but not the same bug/change." + }, + { + "left": "issue:3338", + "right": "issue:4615", + "accept": false, + "reason": "Import slowness vs an import error for a different symbol; unrelated failure modes." + }, + { + "left": "issue:10016", + "right": "issue:7770", + "accept": false, + "reason": "Both involve loading-time shape issues, but one is SD3.5 single-file positional embedding mismatch and the other is a model+LoRA tensor mismatch; different code paths." + }, + { + "left": "issue:2507", + "right": "issue:557", + "accept": false, + "reason": "Safetensors load performance vs DDIM output quality; unrelated." + }, + { + "left": "issue:2995", + "right": "issue:7572", + "accept": false, + "reason": "Matmul dimension mismatch vs dtype mismatch; different root causes." + }, + { + "left": "issue:1388", + "right": "issue:4675", + "accept": false, + "reason": "SD 2.0 conversion script adaptation vs SDXL ControlNet reference-only support; different features." + }, + { + "left": "issue:4912", + "right": "issue:9003", + "accept": false, + "reason": "Model conversion request vs safety checker strength control; unrelated." + }, + { + "left": "issue:11584", + "right": "issue:12096", + "accept": false, + "reason": "Both mention offloading, but they hit different pipelines and different interactions with compile/group offload." + }, + { + "left": "issue:1934", + "right": "issue:557", + "accept": false, + "reason": "VRAM consumption from cpu_offload vs DDIM result quality; not the same issue." + }, + { + "left": "issue:11286", + "right": "issue:11790", + "accept": false, + "reason": "Generic LoRA loading error vs a specific training-script-produced LoRA that cannot be loaded; too little evidence of the same bug." + }, + { + "left": "issue:11127", + "right": "issue:13249", + "accept": false, + "reason": "Single-file Flux model loading problem vs Z-Image LoRA regression; different models and contexts." + }, + { + "left": "issue:1964", + "right": "issue:4071", + "accept": false, + "reason": "PyTorch 2.0 support planning vs inpaint-only+lama support; unrelated." + }, + { + "left": "issue:3391", + "right": "issue:4789", + "accept": false, + "reason": "Overexposed super-resolution output vs download failure; different problem entirely." + }, + { + "left": "issue:6705", + "right": "issue:9393", + "accept": false, + "reason": "Checkpoint saving errors in different training stacks/models; not the same concrete bug." + }, + { + "left": "issue:7706", + "right": "issue:7799", + "accept": false, + "reason": "Custom pipeline CUDA OOM vs IP-Adapter matmul shape mismatch; different symptoms and code paths." + }, + { + "left": "issue:2774", + "right": "issue:4964", + "accept": false, + "reason": "ControlNet safetensors conversion error vs general SDXL-to-diffusers conversion request; not duplicates." + }, + { + "left": "issue:5325", + "right": "issue:993", + "accept": false, + "reason": "Packaging type metadata distribution vs fp16 dtype mismatch; unrelated." + }, + { + "left": "issue:1367", + "right": "issue:2312", + "accept": false, + "reason": "Scheduler config save issue vs EMA hook save failure; similar saving theme but different subsystems." + }, + { + "left": "issue:2294", + "right": "issue:6823", + "accept": false, + "reason": "Missing video inpaint pipeline import vs controlnet usage problem; unrelated." + }, + { + "left": "issue:3209", + "right": "issue:7450", + "accept": false, + "reason": "NaNs in AutoencoderKL encoder vs multithreading issues in AutoencoderKL; different bugs." + }, + { + "left": "issue:11437", + "right": "issue:9546", + "accept": false, + "reason": "Training outputs not created vs Flux ControlNet validation OOM; different failure modes." + }, + { + "left": "issue:10336", + "right": "issue:11342", + "accept": false, + "reason": "Sana activations/clamping vs Sana sprint MPS failure; same family name only, not the same concrete issue." + }, + { + "left": "issue:10518", + "right": "issue:8534", + "accept": false, + "reason": "SD3 LoRA script problem vs SD3 dreambooth weighting bug; different scripts and symptoms." + }, + { + "left": "issue:10952", + "right": "issue:13104", + "accept": false, + "reason": "LoRA adapter-name loading error vs undefined logger; clearly 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": 236, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10045", + "issue:1037", + "issue:10514", + "issue:10675", + "issue:10833", + "issue:10994", + "issue:1101", + "issue:11342", + "issue:13034", + "issue:1522", + "issue:1817", + "issue:1961", + "issue:2098", + "issue:2268", + "issue:2299", + "issue:2645", + "issue:2747", + "issue:3085", + "issue:3249", + "issue:3391", + "issue:3487", + "issue:3631", + "issue:3901", + "issue:4134", + "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:6517", + "issue:6818", + "issue:725", + "issue:7312", + "issue:7375", + "issue:7836", + "issue:785", + "issue:8523", + "issue:8898", + "issue:9397", + "issue:9799", + "issue:9822" + ], + "soft_pairs": [ + "issue:1522|issue:3249", + "issue:1817|issue:3085", + "issue:1961|issue:2268", + "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" + ], + "prepared_review_unit_hash": "57a3ba0cb7f56e91dac2d4306132fed908e1d41328bea999e1ecf171e25ddd9f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "No strong duplicate cluster here: the items span unrelated bug reports, feature requests, docs, and scheduler/model-specific issues. All soft-edge pairs should be rejected because they do not describe the same underlying defect or change.", + "confidence": 0.89, + "canonical_issue_reason": "issue:10045 is the broadest umbrella title in the set ('Problem with importing pipelines'), but this is only a weak anchor; the overall set is too heterogeneous to justify a true canonical duplicate issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10045 is the most generic and potentially reusable target, but it is still not a good global representative because the rest of the items are largely unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1522", + "right": "issue:3249", + "accept": false, + "reason": "Both are TypeError-style API mismatch reports, but for different arguments and different blocks; not the same bug." + }, + { + "left": "issue:1817", + "right": "issue:3085", + "accept": false, + "reason": "Both mention removed/unsupported scheduler-related args, but one is Dreambooth num_cycles and the other is cache folder; unrelated failures." + }, + { + "left": "issue:1961", + "right": "issue:2268", + "accept": false, + "reason": "Both are vague ColossalAI-related errors, but the reports do not indicate the same code path or fix." + }, + { + "left": "issue:2299", + "right": "issue:5592", + "accept": false, + "reason": "Different model-loading contexts and failure modes; one is fine-tuned checkpoints in Diffusers, the other is UniDiffuser checkpoint loading." + }, + { + "left": "issue:2645", + "right": "issue:4134", + "accept": false, + "reason": "Both are MPS/CUDA device issues in ControlNet, but one is a CUDA assertion and the other is a tensor shape mismatch; not the same bug." + }, + { + "left": "issue:2747", + "right": "issue:7375", + "accept": false, + "reason": "One is a generic docs update request; the other is a specific docs note about FreeInit outputs." + }, + { + "left": "issue:4445", + "right": "issue:725", + "accept": false, + "reason": "A how-to question about LoRA finetuning is not the same as a memory-footprint feature request for device map/accelerate." + }, + { + "left": "issue:5429", + "right": "issue:9397", + "accept": false, + "reason": "Both involve model/scheduler support additions, but they target different model families and different missing capabilities." + }, + { + "left": "issue:6141", + "right": "issue:7312", + "accept": false, + "reason": "One requests ControlNet control/resize modes; the other is about AlignProp direct reward finetuning. Different features." + }, + { + "left": "issue:10514", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana pipeline issues, but one is a resolution-binning/sample_size constraint and the other is an MPS failure; distinct bugs." + }, + { + "left": "issue:3901", + "right": "issue:4390", + "accept": false, + "reason": "Both are missing-file/environment setup errors, but one is missing requirements.txt and the other is generic missing requirements; not the same incident." + }, + { + "left": "issue:6818", + "right": "issue:8523", + "accept": false, + "reason": "Both mention runtime/back-end errors, but one is IP-Adapter unload construction and the other is a playground CUDA error; unrelated." + }, + { + "left": "issue:2098", + "right": "issue:3631", + "accept": false, + "reason": "A torch.randn argument mismatch is unrelated to the inpainting latents exception." + }, + { + "left": "issue:3391", + "right": "issue:3487", + "accept": false, + "reason": "Both are image-quality complaints, but one is overexposure in super-resolution and the other is poor results with a specific scheduler/strength combo." + }, + { + "left": "issue:10045", + "right": "issue:6517", + "accept": false, + "reason": "A generic pipeline import problem is not the same as a specific ControlNet SDXL import traceback." + }, + { + "left": "issue:10994", + "right": "issue:9799", + "accept": false, + "reason": "Different tensor-shape crashes in different training/inference paths; not the same underlying bug." + }, + { + "left": "issue:1037", + "right": "issue:1101", + "accept": false, + "reason": "Both are feature requests for community schedulers/pipelines, but they are different additions." + }, + { + "left": "issue:10675", + "right": "issue:9822", + "accept": false, + "reason": "Flux scheduler config max_shift and loading SDXL LoRAs into Flux are unrelated issues." + }, + { + "left": "issue:4554", + "right": "issue:7836", + "accept": false, + "reason": "One is an OOM on a specific example; the other is CLIP training overfitting. No shared bug." + }, + { + "left": "issue:4665", + "right": "issue:8898", + "accept": false, + "reason": "Both concern loading/safetensors behavior, but one is Windows alt-bin selection and the other is subfolder path validation; different defects." + }, + { + "left": "issue:5335", + "right": "issue:785", + "accept": false, + "reason": "A deployment/repo-access question is unrelated to scheduler performance." + }, + { + "left": "issue:5689", + "right": "issue:5703", + "accept": false, + "reason": "Residual noise with DPM++ SDXL is different from ddim_inverse noise reconstruction; distinct scheduler behavior." + }, + { + "left": "issue:10833", + "right": "issue:13034", + "accept": false, + "reason": "Different model/pipeline-specific shape or quantization issues; no evidence they share the same failure path." + }, + { + "left": "issue:4305", + "right": "issue:5687", + "accept": false, + "reason": "Both involve timesteps/schedulers, but one is a torch.compile graph break and the other is duplicate timesteps with Karras sigmas; 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": 237, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10287", + "issue:10511", + "issue:10772", + "issue:10958", + "issue:1188", + "issue:12239", + "issue:12501", + "issue:1566", + "issue:1785", + "issue:1790", + "issue:2026", + "issue:2098", + "issue:2390", + "issue:2462", + "issue:2465", + "issue:3176", + "issue:3181", + "issue:322", + "issue:3221", + "issue:3366", + "issue:4071", + "issue:4148", + "issue:4306", + "issue:4675", + "issue:4724", + "issue:5070", + "issue:5118", + "issue:5124", + "issue:5168", + "issue:5595", + "issue:5605", + "issue:5607", + "issue:5670", + "issue:6243", + "issue:6331", + "issue:6661", + "issue:7480", + "issue:8801", + "issue:8834", + "issue:8885", + "issue:8989", + "issue:9112", + "issue:9216", + "issue:9237", + "issue:9763", + "issue:9856", + "issue:9930" + ], + "soft_pairs": [ + "issue:10772|issue:8834", + "issue:2390|issue:6243", + "issue:4148|issue:6331", + "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" + ], + "prepared_review_unit_hash": "21ea6d7c0eb555f692c1c387a546e5521d6c80c037b9ce2289c1cf3f061355ab", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33068, + "estimated_input_tokens": 8267, + "estimated_eval_tokens": 16790 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab-bag of mostly unrelated issues. The soft pairs share only broad subsystem words (ControlNet, Dreambooth, TensorRT, OOM, inpainting, etc.) but not the same concrete bug or change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "If forced to pick one anchor, issue 10511 is the broadest open product request, but the set does not have a real common underlying problem, so no strong canonical issue exists.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10511 is the most general and forward-looking open request in the set, making it the least arbitrary issue to anchor the cluster, though it is not actually a duplicate hub.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10772", + "right": "issue:8834", + "accept": false, + "reason": "Both mention ControlNet/SD3, but one is asking for Sana ControlNet support and the other for SD3 controlnet training code release; different artifacts and goals." + }, + { + "left": "issue:2390", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter support and IP-Adapter Face ID are different adapter types and different feature requests." + }, + { + "left": "issue:4148", + "right": "issue:6331", + "accept": false, + "reason": "One is an SDXL inpainting config error, the other is a request for SAG inpainting support; not the same bug." + }, + { + "left": "issue:5070", + "right": "issue:5605", + "accept": false, + "reason": "ControlNet example parameter changes and SDXL DreamBooth per-image caption support are unrelated training/example features." + }, + { + "left": "issue:5168", + "right": "issue:8801", + "accept": false, + "reason": "ControlNet-XS support and Kolors support target different model families and changes." + }, + { + "left": "issue:1566", + "right": "issue:5124", + "accept": false, + "reason": "DreamBooth fp16 checkpoint crash and a general fine-tuning question about safetensors are not the same issue." + }, + { + "left": "issue:10958", + "right": "issue:9112", + "accept": false, + "reason": "Both are inference errors, but they affect different pipelines and failure modes (meta tensor copy vs tensor size mismatch)." + }, + { + "left": "issue:1790", + "right": "issue:2465", + "accept": false, + "reason": "These are both training questions, but one is a generic 'how training works' request and the other asks for a reproducible DreamBooth recipe." + }, + { + "left": "issue:5595", + "right": "issue:5670", + "accept": false, + "reason": "Both concern size/shape problems, but one is about image dimensions needing to be divisible by 8 and the other is a PixArtAlpha non-square image runtime error." + }, + { + "left": "issue:8885", + "right": "issue:9763", + "accept": false, + "reason": "Custom Diffusion dependency/install/token-loading problems are not the same as Flux ControlNet token truncation during training." + }, + { + "left": "issue:2026", + "right": "issue:4724", + "accept": false, + "reason": "PaintByExample cpu_offload and SDXL Img2Img unexpected behavior are separate pipeline issues." + }, + { + "left": "issue:4071", + "right": "issue:4675", + "accept": false, + "reason": "Inpaint-only+lama support and SDXL ControlNet reference-only are different feature requests." + }, + { + "left": "issue:5118", + "right": "issue:9216", + "accept": false, + "reason": "A question about ControlNet reference_only usage is unrelated to a custom pipeline that combines any number of models." + }, + { + "left": "issue:6661", + "right": "issue:7480", + "accept": false, + "reason": "Both mention OOM, but one is MPS training on specific image sizes and the other is DeepFloyd IF inference memory usage." + }, + { + "left": "issue:12501", + "right": "issue:9856", + "accept": false, + "reason": "A VAE graph-break bug and a distributed port conflict are entirely different failures." + }, + { + "left": "issue:3221", + "right": "issue:3366", + "accept": false, + "reason": "load_attn_procs failing in diffusers 0.16.0 and LoRALinearLayer breaking autocast are different code paths and symptoms." + }, + { + "left": "issue:8989", + "right": "issue:9930", + "accept": false, + "reason": "Sequential offloading in Stable Audio and PAG adaptive scale are unrelated issues." + }, + { + "left": "issue:10511", + "right": "issue:12239", + "accept": false, + "reason": "FlowMatchEuler scheduler redesign for SD3/Flux and InfiniteTalk support are different model-specific requests." + }, + { + "left": "issue:1188", + "right": "issue:322", + "accept": false, + "reason": "CLIPSeg x Stable Diffusion pipeline support and V-Diffusion are unrelated pipeline requests." + }, + { + "left": "issue:2462", + "right": "issue:4071", + "accept": false, + "reason": "IterableDataset training support and inpaint-only+lama support are different areas and not the same underlying change." + }, + { + "left": "issue:3176", + "right": "issue:3181", + "accept": false, + "reason": "Both are TensorRT-related, but one is a demo error and the other is a different example TypeError; not enough evidence of the same fix." + }, + { + "left": "issue:10287", + "right": "issue:9237", + "accept": false, + "reason": "Documentation example issues and Flux DreamBooth LoRA training problems are unrelated." + }, + { + "left": "issue:1785", + "right": "issue:5607", + "accept": false, + "reason": "UnCLIPPipeline num_images_per_prompt bug and a tensor size mismatch in another path are different failures." + }, + { + "left": "issue:2098", + "right": "issue:4306", + "accept": false, + "reason": "Torch.randn argument errors and StableDiffusionReferencePipeline list index errors 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": 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-50-3013", + "nodes": [ + "issue:10428", + "issue:10448", + "issue:11050", + "issue:1141", + "issue:11648", + "issue:11938", + "issue:12575", + "issue:1343", + "issue:13506", + "issue:1477", + "issue:1519", + "issue:1537", + "issue:201", + "issue:2161", + "issue:2203", + "issue:2377", + "issue:2440", + "issue:2518", + "issue:2552", + "issue:2737", + "issue:2772", + "issue:2784", + "issue:3043", + "issue:3073", + "issue:3694", + "issue:3986", + "issue:4213", + "issue:4488", + "issue:4593", + "issue:4846", + "issue:4912", + "issue:5515", + "issue:5553", + "issue:5731", + "issue:6321", + "issue:6463", + "issue:6561", + "issue:6742", + "issue:7012", + "issue:7519", + "issue:7661", + "issue:7841", + "issue:817", + "issue:8759", + "issue:9047", + "issue:9241", + "issue:9299", + "issue:9899" + ], + "soft_pairs": [ + "issue:2203|issue:817", + "issue:3694|issue:7012", + "issue:10428|issue:9299", + "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:12575|issue:13506", + "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" + ], + "prepared_review_unit_hash": "d52c17c7d3c27a2a79fc5355fcf76f0564e92c464ce401baedc3f9f506241f35", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33587, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues were clustered together by superficial text similarity. All soft pairs look like false positives; there is no shared underlying bug/change to merge.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No true canonical issue exists; if one must be chosen, issue:5553 is the broadest model-loading report, but it does not explain the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2203", + "right": "issue:817", + "accept": false, + "reason": "Different problems: download location/path handling vs mixed-precision training." + }, + { + "left": "issue:3694", + "right": "issue:7012", + "accept": false, + "reason": "Training example file lookup failure vs image quality/regression in v-prediction." + }, + { + "left": "issue:10428", + "right": "issue:9299", + "accept": false, + "reason": "Both mention Flux, but one is Ascend NPU inference and the other is CUDA graph position embeddings; different code paths." + }, + { + "left": "issue:10448", + "right": "issue:11648", + "accept": false, + "reason": "DDUF mmap loading vs LoRA loading with FP8 transformer models; unrelated." + }, + { + "left": "issue:1141", + "right": "issue:4912", + "accept": false, + "reason": "Local files in custom pipelines vs converting SDXL checkpoints; not the same bug." + }, + { + "left": "issue:1343", + "right": "issue:2518", + "accept": false, + "reason": "Default xformers enablement vs missing xformers support in one training script; different changes." + }, + { + "left": "issue:201", + "right": "issue:2377", + "accept": false, + "reason": "Attention-class tests vs EMAModel tests; unrelated test work." + }, + { + "left": "issue:2161", + "right": "issue:2552", + "accept": false, + "reason": "LoRA training on inpainting models vs tutorial/question about inpaint pipeline documentation." + }, + { + "left": "issue:5731", + "right": "issue:6463", + "accept": false, + "reason": "AutoencoderKL logvar implementation vs missing audio_diffusion pipeline; unrelated." + }, + { + "left": "issue:6561", + "right": "issue:7661", + "accept": false, + "reason": "Missing IP-Adapter config file vs animate-diff integration with IP-Adapter; different defects." + }, + { + "left": "issue:7519", + "right": "issue:7841", + "accept": false, + "reason": "XFormers scale kwarg handling vs SDXL red-dot rendering artifact; not the same bug." + }, + { + "left": "issue:9241", + "right": "issue:9899", + "accept": false, + "reason": "Different conversion utilities: XLab LoRA conversion vs transformer-to-checkpoint conversion." + }, + { + "left": "issue:5515", + "right": "issue:5553", + "accept": false, + "reason": "Scheduler-less LCM pipeline init failure vs custom model loading failure; both loading-related but distinct." + }, + { + "left": "issue:12575", + "right": "issue:13506", + "accept": false, + "reason": "Chroma attention-backend checks vs Sage attention with ring-attention; different backend errors." + }, + { + "left": "issue:1519", + "right": "issue:1537", + "accept": false, + "reason": "Apple M2 noisy batch output vs Apple MPS scheduler behavior; different pipeline issues." + }, + { + "left": "issue:1477", + "right": "issue:2440", + "accept": false, + "reason": "CUBLAS invalid value in batched GEMM vs float16 inpainting model load error; not the same failure." + }, + { + "left": "issue:11938", + "right": "issue:9047", + "accept": false, + "reason": "RMSNorm registration bug vs Flux failing on MPS; unrelated." + }, + { + "left": "issue:11050", + "right": "issue:8759", + "accept": false, + "reason": "Training dtype casting bug in a ControlNet example vs SD3 image_processor cast warning; different locations and symptoms." + }, + { + "left": "issue:2784", + "right": "issue:4846", + "accept": false, + "reason": "Feature request for text2video Dreambooth vs strange Dreambooth training result; not a duplicate." + }, + { + "left": "issue:4488", + "right": "issue:6742", + "accept": false, + "reason": "SDXL checkpoint loading without pipeline_class vs motion block checkpointing differences; unrelated." + }, + { + "left": "issue:2737", + "right": "issue:3986", + "accept": false, + "reason": "Scheduler CLIP-guidance support vs mesh output support in ShapEPipeline; different features." + }, + { + "left": "issue:2772", + "right": "issue:4593", + "accept": false, + "reason": "Local dataset validation bug in training script vs LoRA rank-loading error; unrelated." + }, + { + "left": "issue:3043", + "right": "issue:3073", + "accept": false, + "reason": "Two separate feature requests for different models, not the same change." + }, + { + "left": "issue:4213", + "right": "issue:6321", + "accept": false, + "reason": "SDXL from_single_file accelerate dependency vs CLIP model detection failure; unrelated loading 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": 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-50-3013", + "nodes": [ + "issue:10757", + "issue:11275", + "issue:1188", + "issue:11922", + "issue:12653", + "issue:13015", + "issue:1895", + "issue:1969", + "issue:1992", + "issue:201", + "issue:2326", + "issue:2571", + "issue:321", + "issue:3222", + "issue:3377", + "issue:3422", + "issue:3487", + "issue:3582", + "issue:3829", + "issue:3974", + "issue:4171", + "issue:4185", + "issue:4194", + "issue:4304", + "issue:4436", + "issue:4764", + "issue:4913", + "issue:5150", + "issue:5168", + "issue:5605", + "issue:5849", + "issue:5968", + "issue:6141", + "issue:6383", + "issue:6412", + "issue:6530", + "issue:6928", + "issue:7061", + "issue:7421", + "issue:7568", + "issue:7877", + "issue:7985", + "issue:8234", + "issue:8463", + "issue:9062", + "issue:9511", + "issue:9611", + "issue:9889" + ], + "soft_pairs": [ + "issue:11275|issue:8463", + "issue:2326|issue:4764", + "issue:3377|issue:4304", + "issue:3422|issue:6928", + "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" + ], + "prepared_review_unit_hash": "75054b666d0b614e537ad451613fc6a10e3749663cebd12f9993504e18dfb37c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33836, + "estimated_input_tokens": 8459, + "estimated_eval_tokens": 17174 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The list is a grab bag of unrelated bug reports and feature requests. The soft-similarity pairs are mostly superficial keyword matches; none look like the same underlying issue or change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11275", + "right": "issue:8463", + "accept": false, + "reason": "Both are runtime errors, but they affect different code paths: VAE ResnetUpsampleBlock2D addition vs InstructP2P-SDXL tokenizer handling." + }, + { + "left": "issue:2326", + "right": "issue:4764", + "accept": false, + "reason": "Both mention LoRA conversion/loading, but one is about conversion to safetensors/ckpt and the other about loading a specific OFT-generated LoRA file." + }, + { + "left": "issue:3377", + "right": "issue:4304", + "accept": false, + "reason": "Training-related topics, but one asks about SNR weighting optimization and the other is a request for SDXL LoRA support." + }, + { + "left": "issue:3422", + "right": "issue:6928", + "accept": false, + "reason": "Both are about pipeline options, but disabling the safety checker is unrelated to adding a depthmap colorization toggle." + }, + { + "left": "issue:3829", + "right": "issue:7421", + "accept": false, + "reason": "Both involve determinism/seed behavior, but one is ONNX EulerAncestral output variance and the other is KDiffusion pipeline seed handling." + }, + { + "left": "issue:4171", + "right": "issue:7061", + "accept": false, + "reason": "These are documentation issues, but they concern different pages and different defects: homepage reference rendering vs an incorrect community pipeline docstring." + }, + { + "left": "issue:5150", + "right": "issue:6383", + "accept": false, + "reason": "One is missing a pipeline method, the other is about scheduler learning-rate support; not the same bug." + }, + { + "left": "issue:5968", + "right": "issue:6412", + "accept": false, + "reason": "Both are conversion/export requests, but text/video ONNX conversion and ControlNet annotator ONNX support are distinct features." + }, + { + "left": "issue:7568", + "right": "issue:9889", + "accept": false, + "reason": "Both involve inference behavior, but interpolation token handling is unrelated to an sdxl-turbo segmentation fault under a specific torch version." + }, + { + "left": "issue:7985", + "right": "issue:8234", + "accept": false, + "reason": "IPAdapter-related issues, but one is a torch.compile incompatibility and the other is a scale-argument type error with IPAdapter Plus." + }, + { + "left": "issue:2571", + "right": "issue:5849", + "accept": false, + "reason": "Both are import/CLI failures, but they stem from different causes: accelerate ProjectConfiguration import breakage vs a missing args parameter in an SDXL LoRA training entrypoint." + }, + { + "left": "issue:12653", + "right": "issue:13015", + "accept": false, + "reason": "Both are device/dtype portability problems, but one is a float64 rope reference breaking MPS and the other is an NPU tensor device mismatch in QwenImageEditPlus." + }, + { + "left": "issue:1188", + "right": "issue:321", + "accept": false, + "reason": "Different feature requests: adding a CLIPSeg+Stable Diffusion pipeline versus a community blended diffusion request." + }, + { + "left": "issue:1992", + "right": "issue:201", + "accept": false, + "reason": "One is a JAX attention refactor question, the other is a tests request for an attention class; not the same underlying change." + }, + { + "left": "issue:3487", + "right": "issue:3582", + "accept": false, + "reason": "Both involve inpaint strength behavior, but one reports poor results with a scheduler and the other says strength=1 does not work in ControlNet inpaint." + }, + { + "left": "issue:3974", + "right": "issue:5168", + "accept": false, + "reason": "Both mention ControlNet, but one is safetensors loading support and the other is ControlNet-XS support; different features." + }, + { + "left": "issue:6141", + "right": "issue:9511", + "accept": false, + "reason": "Both are about ControlNet options, but control_mode/resize_mode support is unrelated to multi-controlnet batching." + }, + { + "left": "issue:11922", + "right": "issue:9611", + "accept": false, + "reason": "Both are Flux pipeline problems, but one is a generic FLUX.1-Fill-dev run issue and the other is a specific batching error in img2img/inpaint pipelines." + }, + { + "left": "issue:5605", + "right": "issue:7877", + "accept": false, + "reason": "Both request pipeline/block extensions, but 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": "Both are about names/imports, but one is a variable rename in a conversion script and the other is an import failure for StableAudioPipeline." + }, + { + "left": "issue:4194", + "right": "issue:4436", + "accept": false, + "reason": "Both are conversion/loading issues, but from_single_file VAE behavior and converting CIVITAI safetensors with VAE are different problems." + }, + { + "left": "issue:4913", + "right": "issue:6530", + "accept": false, + "reason": "Both mention ControlNet/SDXL, but one is a model/pipeline request and the other is about K-diffusion support with ControlNet." + }, + { + "left": "issue:1895", + "right": "issue:1969", + "accept": false, + "reason": "Both are runtime/training errors, but EMA multi-GPU update logic and tensor view/stride compatibility are unrelated." + }, + { + "left": "issue:3222", + "right": "issue:4185", + "accept": false, + "reason": "Both involve inpainting/control-related behavior, but missing custom diffusion output files and SDXL ControlNet black-image inference 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": 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-50-3013", + "nodes": [ + "issue:10194", + "issue:10311", + "issue:1062", + "issue:10653", + "issue:10705", + "issue:10891", + "issue:10893", + "issue:11218", + "issue:11989", + "issue:12141", + "issue:12412", + "issue:13053", + "issue:13191", + "issue:1594", + "issue:1643", + "issue:1730", + "issue:1831", + "issue:1976", + "issue:2311", + "issue:2645", + "issue:2841", + "issue:2875", + "issue:2883", + "issue:3336", + "issue:3591", + "issue:3771", + "issue:3826", + "issue:3975", + "issue:4217", + "issue:4376", + "issue:4551", + "issue:460", + "issue:4773", + "issue:4782", + "issue:4815", + "issue:4826", + "issue:5002", + "issue:5166", + "issue:5605", + "issue:5719", + "issue:696", + "issue:7080", + "issue:7408", + "issue:834", + "issue:8752", + "issue:9063", + "issue:911", + "issue:9188" + ], + "soft_pairs": [ + "issue:3771|issue:7080", + "issue:10653|issue:11989", + "issue:2645|issue:4826", + "issue:4782|issue:4815", + "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" + ], + "prepared_review_unit_hash": "7cf54367f6b8de04ea1cb2e501b0db05c9dd61343c6f903acdb353aa5e9b3698", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33643, + "estimated_input_tokens": 8411, + "estimated_eval_tokens": 17078 + }, + "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 feature requests and bugs across Dreambooth, ControlNet, schedulers, Flux, video pipelines, and loading/import errors. Most soft pairs share only very broad subsystem words and should not be merged.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10194 is the broadest, still-open request in the set and best serves as a loose representative for the Flux-related subset, though the cluster overall is heterogeneous.", + "canonical_pr_reason": null, + "best_issue_reason": "10194 is the most general and current issue among the items; it is a reasonable anchor only because no tighter canonical duplicate exists.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3771", + "right": "issue:7080", + "accept": false, + "reason": "Both mention inference/output problems, but they concern different pipelines and failure modes; not the same bug." + }, + { + "left": "issue:10653", + "right": "issue:11989", + "accept": false, + "reason": "An 8-bit .to(cpu) limitation and a black-image rendering issue are unrelated symptoms in different code paths." + }, + { + "left": "issue:2645", + "right": "issue:4826", + "accept": false, + "reason": "Both are ControlNet-related, but one is a Mac/CUDA assertion and the other is a MultiControlNet/reference error; different bugs." + }, + { + "left": "issue:4782", + "right": "issue:4815", + "accept": false, + "reason": "Inpainting mask corruption and latents-only input support are different change requests, not the same underlying issue." + }, + { + "left": "issue:10194", + "right": "issue:9188", + "accept": false, + "reason": "Both are Flux-related feature requests, but attention masking and outpainting are distinct capabilities." + }, + { + "left": "issue:10311", + "right": "issue:11218", + "accept": false, + "reason": "These are separate import errors involving different modules and missing symbols." + }, + { + "left": "issue:10893", + "right": "issue:13053", + "accept": false, + "reason": "Unrelated model-support feature requests for different pipelines." + }, + { + "left": "issue:1594", + "right": "issue:2883", + "accept": false, + "reason": "Both concern video generation, but one asks for img2img support and the other for an image-to-video pipeline; not the same request." + }, + { + "left": "issue:1976", + "right": "issue:911", + "accept": false, + "reason": "Both are config-related, but one is a tokenizer file lookup error and the other is a Dreambooth bad-config report." + }, + { + "left": "issue:2311", + "right": "issue:3336", + "accept": false, + "reason": "Different scheduler feature requests; they are not the same algorithm or code-path change." + }, + { + "left": "issue:3826", + "right": "issue:7408", + "accept": false, + "reason": "Both are new pipeline requests, but for entirely different pipelines and use cases." + }, + { + "left": "issue:1062", + "right": "issue:1730", + "accept": false, + "reason": "Dreambooth-related, but one is about reproducing paper results and the other about CKPT conversion/webui inference." + }, + { + "left": "issue:10705", + "right": "issue:9063", + "accept": false, + "reason": "Pipeline reuse slowdown and Flux tokenizer instantiation errors are unrelated." + }, + { + "left": "issue:12412", + "right": "issue:13191", + "accept": false, + "reason": "Separate support requests for different model families; no shared bug or change." + }, + { + "left": "issue:2875", + "right": "issue:3591", + "accept": false, + "reason": "Training loss instability and ControlNet loss-curve confusion are different problems." + }, + { + "left": "issue:4376", + "right": "issue:8752", + "accept": false, + "reason": "Both are SDXL pipeline issues, but one is textual inversion crashing and the other is offline from_single_file loading." + }, + { + "left": "issue:4217", + "right": "issue:4773", + "accept": false, + "reason": "Both involve loading, but one is safetensors load time and the other is CivitAI LoRA loading; different issues." + }, + { + "left": "issue:10891", + "right": "issue:12141", + "accept": false, + "reason": "Both mention bfloat16, but they affect different models/pipelines and likely different dtype handling paths." + }, + { + "left": "issue:2841", + "right": "issue:5605", + "accept": false, + "reason": "Unrelated feature requests: scheduler sampling temperature vs SDXL Dreambooth captions." + }, + { + "left": "issue:3975", + "right": "issue:5719", + "accept": false, + "reason": "A typo in an error message and LoRA file-selection logic are unrelated." + }, + { + "left": "issue:1643", + "right": "issue:696", + "accept": false, + "reason": "Both are Dreambooth reports, but one is an xFormers API mismatch and the other is CUDA OOM." + }, + { + "left": "issue:460", + "right": "issue:834", + "accept": false, + "reason": "One is an ONNX runtime dependency problem; the other is a generic CPU utilization complaint." + }, + { + "left": "issue:5002", + "right": "issue:5166", + "accept": false, + "reason": "Different scheduler/VQ-VAE issues with no shared concrete bug." + }, + { + "left": "issue:1831", + "right": "issue:4551", + "accept": false, + "reason": "Both involve Dreambooth, but one is class-image precision mismatch and the other is an SDXL Dreambooth crash." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10227", + "issue:10710", + "issue:10928", + "issue:1106", + "issue:1156", + "issue:1478", + "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:5079", + "issue:5412", + "issue:5476", + "issue:5616", + "issue:5953", + "issue:5984", + "issue:6093", + "issue:6201", + "issue:6372", + "issue:6427", + "issue:6513", + "issue:684", + "issue:713", + "issue:7191", + "issue:7276", + "issue:7390", + "issue:7454", + "issue:8228", + "issue:8495", + "issue:8588", + "issue:8671", + "issue:9078", + "issue:9181", + "issue:9241" + ], + "soft_pairs": [ + "issue:7191|issue:9181", + "issue:5412|issue:5984", + "issue:7390|issue:8228", + "issue:1156|issue:684", + "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" + ], + "prepared_review_unit_hash": "0bd595aef088b0df683159f90193218d8302542a550451a593d6cc804a983d2a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "Most pairs are only superficially similar; they concern different models, pipelines, or failure modes. The only clear duplicate is the multiple-generator/DDIMScheduler issue pair 1909\u21942083.", + "confidence": 0.92, + "canonical_issue_reason": "issue:1909 is the best canonical issue: it states the broad root problem (pipelines accept a list of generators, but schedulers do not), while issue:2083 is a narrower DDIMScheduler/eta>0 manifestation.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1909 is the strongest global representative because it is the most general and actionable description of the shared bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7191", + "right": "issue:9181", + "accept": false, + "reason": "Different problems: an import failure versus a ControlNet pipeline artifact/noise issue." + }, + { + "left": "issue:5412", + "right": "issue:5984", + "accept": false, + "reason": "Both are DreamBooth/SDXL-related, but one is resume_from_checkpoint failure and the other is fp16 RAM usage." + }, + { + "left": "issue:7390", + "right": "issue:8228", + "accept": false, + "reason": "Both mention from_single_file, but they describe different load failures on different model components and paths." + }, + { + "left": "issue:1156", + "right": "issue:684", + "accept": false, + "reason": "Generic training failure vs AMD memory-optimization problems; no shared concrete bug." + }, + { + "left": "issue:10227", + "right": "issue:10710", + "accept": false, + "reason": "LoRA feature-support error and DDUF format support are unrelated." + }, + { + "left": "issue:5616", + "right": "issue:6427", + "accept": false, + "reason": "Both are model conversion/loading complaints, but they target different workflows and failure points." + }, + { + "left": "issue:10928", + "right": "issue:8495", + "accept": false, + "reason": "Missing fp16 weight file versus SD3 tokenizer enum parsing error; unrelated." + }, + { + "left": "issue:1106", + "right": "issue:2480", + "accept": false, + "reason": "Repeated UNet calls in PNDM is unrelated to a DreamBooth script checkpoint folder issue." + }, + { + "left": "issue:1657", + "right": "issue:5476", + "accept": false, + "reason": "Kaggle examples request versus xformers portability question; not the same bug or change." + }, + { + "left": "issue:1805", + "right": "issue:322", + "accept": false, + "reason": "Different feature requests for different diffusion approaches." + }, + { + "left": "issue:1909", + "right": "issue:2083", + "accept": true, + "reason": "Same underlying bug: multiple generators are passed through pipelines, but DDIMScheduler/eta>0 handling only supports a single generator." + }, + { + "left": "issue:2214", + "right": "issue:2769", + "accept": false, + "reason": "NSFW filter regression is unrelated to conversion round-tripping breaking a model." + }, + { + "left": "issue:2277", + "right": "issue:6093", + "accept": false, + "reason": "UNet config length validation issue versus push_to_hub behavior in a training script." + }, + { + "left": "issue:2447", + "right": "issue:713", + "accept": false, + "reason": "LoRA-specific error versus generic training error; too little concrete overlap." + }, + { + "left": "issue:3113", + "right": "issue:4042", + "accept": false, + "reason": "Both involve conditioning/control features, but they are distinct feature requests with different goals." + }, + { + "left": "issue:3564", + "right": "issue:6372", + "accept": false, + "reason": "Uni-ControlNet support and SVD+ControlNet are different pipeline features." + }, + { + "left": "issue:4349", + "right": "issue:6201", + "accept": false, + "reason": "Both touch prompt_embeds handling, but they affect different pipelines and different logic paths." + }, + { + "left": "issue:4638", + "right": "issue:9078", + "accept": false, + "reason": "Textual inversion on SDXL and Flux LoRA loading are unrelated." + }, + { + "left": "issue:5079", + "right": "issue:6513", + "accept": false, + "reason": "LoRA loading support versus T2IAdapter model support are separate feature gaps." + }, + { + "left": "issue:7454", + "right": "issue:9241", + "accept": false, + "reason": "General LoRA support request versus a LoRA conversion script; not the same concrete change." + }, + { + "left": "issue:8588", + "right": "issue:8671", + "accept": false, + "reason": "Missing SD3 conversion script and redundant DreamBooth code are unrelated." + }, + { + "left": "issue:1478", + "right": "issue:5953", + "accept": false, + "reason": "Upscale pipeline output-count bug versus ControlNet image-size mismatch crash." + }, + { + "left": "issue:4704", + "right": "issue:7276", + "accept": false, + "reason": "Custom diffusion training failure versus DreamBooth example network errors; different scripts and failure modes." + }, + { + "left": "issue:3963", + "right": "issue:4727", + "accept": false, + "reason": "Auto-download on Windows and local_files_only auto-pipeline handling are different download-related issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are well grounded in the packet and stay conservative. The 1909\u21942083 pair is clearly the strongest duplicate-like match from the titles, and the other rejected pairs mostly do appear to involve different bugs, workflows, or components. I don\u2019t see any 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": 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-50-3013", + "nodes": [ + "issue:1033", + "issue:10448", + "issue:10520", + "issue:10798", + "issue:10954", + "issue:11033", + "issue:11307", + "issue:12037", + "issue:12052", + "issue:12423", + "issue:1246", + "issue:13034", + "issue:1315", + "issue:13162", + "issue:1375", + "issue:1572", + "issue:1934", + "issue:4141", + "issue:4375", + "issue:4399", + "issue:4453", + "issue:4480", + "issue:4506", + "issue:4726", + "issue:4806", + "issue:5016", + "issue:5574", + "issue:5685", + "issue:6201", + "issue:6398", + "issue:668", + "issue:7322", + "issue:8264", + "issue:8373", + "issue:8407", + "issue:8495", + "issue:8500", + "issue:8535", + "issue:8593", + "issue:8708", + "issue:8723", + "issue:8880", + "issue:9460", + "issue:964", + "issue:9686", + "issue:9902", + "issue:9942" + ], + "soft_pairs": [ + "issue:1033|issue:1572", + "issue:4806|issue:8373", + "issue:10520|issue:8264", + "issue:1572|issue:964", + "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" + ], + "prepared_review_unit_hash": "98a1cf8a7810117c20f10f474855b72d7a240e4d6c7909d70e6294384b2a98a5", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33045, + "estimated_input_tokens": 8262, + "estimated_eval_tokens": 16780 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab-bag of unrelated issues that only share superficial terms like offloading, loading, device mismatch, or model names. I do not see any true duplicate pairs; all soft links look too weak and cross different code paths or different models.", + "confidence": 0.88, + "canonical_issue_reason": "Issue #12052 is the strongest anchor if one must be chosen: it is concrete, well-scoped, and describes a specific device-mismatch failure in a clearly identified Wan 2.2 + LightX2V offloading path.", + "canonical_pr_reason": null, + "best_issue_reason": "#12052 is the most actionable and diagnostic issue in the set, with a clear repro context and failure mode; it is a better representative than the more generic or title-only reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1033", + "right": "issue:1572", + "accept": false, + "reason": "Same broad Stable Diffusion Mega area, but different failure reports: an IndexError versus img2img/inpainting not working. Too weak to be the same bug." + }, + { + "left": "issue:4806", + "right": "issue:8373", + "accept": false, + "reason": "One is a type annotation/API issue on UNet2DModel; the other is an incorrect error message. Different bug classes and code paths." + }, + { + "left": "issue:10520", + "right": "issue:8264", + "accept": false, + "reason": "Runtime device mismatch in Sana 4K is unrelated to a training job stopping at 0%. No clear shared root cause." + }, + { + "left": "issue:1572", + "right": "issue:964", + "accept": false, + "reason": "Both mention inpainting, but one is a StableDiffusion Mega img2img/inpainting failure and the other is a generic inpainting example issue. Not enough evidence for duplication." + }, + { + "left": "issue:10798", + "right": "issue:13034", + "accept": false, + "reason": "Completely different topics: Flux quantization/device combinations versus WanPipeline height/width handling." + }, + { + "left": "issue:12037", + "right": "issue:13162", + "accept": false, + "reason": "Both involve LoRA support, but for different models and different compatibility problems. Not the same concrete bug." + }, + { + "left": "issue:1315", + "right": "issue:1375", + "accept": false, + "reason": "Import error from a missing symbol is not the same as a PR allegedly breaking imports; different symptom and likely different root cause." + }, + { + "left": "issue:11033", + "right": "issue:12423", + "accept": false, + "reason": "Both are from_single_file loading issues, but for different models (SD1.5 UNet vs QwenImageTransformer2DModel). Different code paths." + }, + { + "left": "issue:4453", + "right": "issue:5574", + "accept": false, + "reason": "LoRA conversion for SDXL safetensors is unrelated to training a subset of UNet attention parameters with LoRA." + }, + { + "left": "issue:9902", + "right": "issue:9942", + "accept": false, + "reason": "A conda version/install problem is not the same as a pip install failure for a diffusers dev version." + }, + { + "left": "issue:5685", + "right": "issue:8407", + "accept": false, + "reason": "Generic scheduler concerns versus a specific UniPC set_timesteps kwargs compatibility bug. Too broad to merge." + }, + { + "left": "issue:4375", + "right": "issue:8880", + "accept": false, + "reason": "Torch 2 compile crash during inference and inference slowdown are different symptoms; no concrete same bug path." + }, + { + "left": "issue:4480", + "right": "issue:4726", + "accept": false, + "reason": "MPS kernel crash on Mac M1 with fp16 is unrelated to a callback type issue." + }, + { + "left": "issue:5016", + "right": "issue:7322", + "accept": false, + "reason": "Training text encoders in SDXL LoRA is a functionality bug; SIGKILL during training is a resource/crash symptom. Not the same issue." + }, + { + "left": "issue:4141", + "right": "issue:4399", + "accept": false, + "reason": "Second controlnet handling and torch compile with CPU offload are separate problems in the broader pipeline ecosystem." + }, + { + "left": "issue:1246", + "right": "issue:668", + "accept": false, + "reason": "Both are dreambooth runtime problems, but one is an FP16 gradient/unscale issue and the other is a Colab Tesla T4 runtime error. Not the same bug." + }, + { + "left": "issue:4506", + "right": "issue:6201", + "accept": false, + "reason": "Both involve prompt embeddings, but one says a variable is overwritten while the other is about not re-encoding when prompt is absent. Different concrete behaviors." + }, + { + "left": "issue:8495", + "right": "issue:8593", + "accept": false, + "reason": "SD3 tokenizer parsing error and SD3 bfloat16 CPU noise are unrelated issues." + }, + { + "left": "issue:11307", + "right": "issue:12052", + "accept": false, + "reason": "Both mention offloading and device mismatches, but they affect different models and different tensor operations. Not mergeable as one PR-level fix." + }, + { + "left": "issue:1934", + "right": "issue:6398", + "accept": false, + "reason": "Memory usage with cpu_offload and a vague memory leak report are too generic and not clearly the same bug." + }, + { + "left": "issue:8500", + "right": "issue:8535", + "accept": false, + "reason": "Token limit questions and enabling xformers memory-efficient attention are unrelated." + }, + { + "left": "issue:8708", + "right": "issue:9686", + "accept": false, + "reason": "Missing SD3 dreambooth config field and a ControlNet pooled_projections bug are different features and code paths." + }, + { + "left": "issue:8723", + "right": "issue:9460", + "accept": false, + "reason": "SD3ControlNetModel initialization failure versus supporting a list of controlnets in the pipeline are different change requests." + }, + { + "left": "issue:10448", + "right": "issue:10954", + "accept": false, + "reason": "DDUF mmap loading and FLUX LoRA loading are unrelated model/loading 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": 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-50-3013", + "nodes": [ + "issue:10227", + "issue:10470", + "issue:10596", + "issue:10950", + "issue:11093", + "issue:11127", + "issue:11221", + "issue:11314", + "issue:11555", + "issue:11648", + "issue:12738", + "issue:12905", + "issue:13073", + "issue:13104", + "issue:13286", + "issue:1398", + "issue:1439", + "issue:1519", + "issue:1805", + "issue:1918", + "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:6146", + "issue:6357", + "issue:6372", + "issue:7054", + "issue:7079", + "issue:7960", + "issue:8429", + "issue:8493", + "issue:8894", + "issue:9387", + "issue:969", + "issue:9690" + ], + "soft_pairs": [ + "issue:11314|issue:12905", + "issue:10470|issue:11093", + "issue:11555|issue:13286", + "issue:12738|issue:13073", + "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" + ], + "prepared_review_unit_hash": "8e485a89b2dbb69cb53e763e7dde7b517ae2478940327a2aac0735639afd6132", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32993, + "estimated_input_tokens": 8249, + "estimated_eval_tokens": 16754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose thematic grouping around Flux/torchao, LoRA, and ZImage issues, but the soft pairs do not look like true duplicates; they describe different failure modes, pipelines, or docs/example problems rather than one shared bug.", + "confidence": 0.74, + "canonical_issue_reason": "issue:10470 is the broadest concrete bug report in the set, centered on Flux/torchao inference failure; the other issues are either narrower variants (LoRA, fp8, guidance, batch size) or clearly different subsystems.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10470 is the best representative issue because it captures the widest underlying Flux/torchao inference problem without being tied to a very specific symptom or example cleanup task.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11314", + "right": "issue:12905", + "accept": false, + "reason": "Both are Z-Image/Flux-style issues, but one is a controlnet training-script mistake and the other is a guidance-scale implementation bug; different code paths and fixes." + }, + { + "left": "issue:10470", + "right": "issue:11093", + "accept": false, + "reason": "Both mention torchao/Flux examples, but one is inference not working and the other is a broken example; too vague to treat as the same concrete bug." + }, + { + "left": "issue:11555", + "right": "issue:13286", + "accept": false, + "reason": "device_map='auto' support is an API/feature request, while torchao>=0.16.0 quantization not supported is a version-compatibility bug; not the same issue." + }, + { + "left": "issue:12738", + "right": "issue:13073", + "accept": false, + "reason": "Batch-size assertion failure and guidance_scale>1 support are different runtime conditions and different failures." + }, + { + "left": "issue:11221", + "right": "issue:7960", + "accept": false, + "reason": "Non-convergence in autoencoderkl training and SDXL multi-GPU training failure are unrelated training problems." + }, + { + "left": "issue:2646", + "right": "issue:2663", + "accept": false, + "reason": "Tiled VAE IndexError and safety-checker loading from safetensors are separate components and separate bugs." + }, + { + "left": "issue:6146", + "right": "issue:8894", + "accept": false, + "reason": "Both are training-script complaints, but they concern different scripts and failure modes, not one shared defect." + }, + { + "left": "issue:1918", + "right": "issue:2439", + "accept": false, + "reason": "DDIM scheduler behavior for a ddpm example is unrelated to inpainting pipeline loading/running issues." + }, + { + "left": "issue:2581", + "right": "issue:4086", + "accept": false, + "reason": "ControlNet checkpoint conversion and SDXL ControlNet training are different problems with different workflows." + }, + { + "left": "issue:2712", + "right": "issue:3694", + "accept": false, + "reason": "Missing config keys during model init and missing model_index/config files during finetuning are different loading/configuration errors." + }, + { + "left": "issue:272", + "right": "issue:4312", + "accept": false, + "reason": "K-LMS support for inpainting and a multi-ControlNet pipeline request are distinct feature requests." + }, + { + "left": "issue:6372", + "right": "issue:9387", + "accept": false, + "reason": "SVD+ControlNet and MimicMotion are unrelated pipeline feature requests." + }, + { + "left": "issue:10227", + "right": "issue:11555", + "accept": false, + "reason": "LoRA loading into fp8/quantized modules is a concrete model-compatibility error, while device_map='auto' is a pipeline placement feature request." + }, + { + "left": "issue:10950", + "right": "issue:8429", + "accept": false, + "reason": "Broken Accelerate docs and a malfunctioning I2VGen-XL inference script are unrelated." + }, + { + "left": "issue:1398", + "right": "issue:1519", + "accept": false, + "reason": "Both involve Apple Silicon/MPS, but one is SD2 support and the other is noisy batch outputs on M2; different bugs." + }, + { + "left": "issue:4031", + "right": "issue:6357", + "accept": false, + "reason": "Local safety-checker loading failure is not the same as API vs local result differences." + }, + { + "left": "issue:11127", + "right": "issue:13104", + "accept": false, + "reason": "A CivitAI Flux single-file loading problem and an undefined logger error are unrelated issues." + }, + { + "left": "issue:3120", + "right": "issue:4282", + "accept": false, + "reason": "Always-same-result ControlNet training and adding a Multi-ControlNet pipeline are different topics." + }, + { + "left": "issue:2500", + "right": "issue:969", + "accept": false, + "reason": "Meta tensor copy errors and multi-GPU accelerator test failures are not the same underlying bug." + }, + { + "left": "issue:10596", + "right": "issue:7079", + "accept": false, + "reason": "FluxControlPipeline shape errors and Transformer2DModel patch/norm_type errors are different model-path failures." + }, + { + "left": "issue:1439", + "right": "issue:525", + "accept": false, + "reason": "FeatureExtractionMixin import error and local-disk image loading in a notebook are unrelated." + }, + { + "left": "issue:1805", + "right": "issue:321", + "accept": false, + "reason": "Scalable Diffusion pipeline proposal and Blended Diffusion are different feature ideas." + }, + { + "left": "issue:7054", + "right": "issue:8493", + "accept": false, + "reason": "State-dict mutation in LoraLoaderMixin and SD3Transformer2DModel load errors are different loading bugs." + }, + { + "left": "issue:11648", + "right": "issue:9690", + "accept": false, + "reason": "LoRA weight loading with fp8 transformer models and Flux FP8 example cleanup are 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": 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-50-3013", + "nodes": [ + "issue:10085", + "issue:10150", + "issue:10475", + "issue:10672", + "issue:1109", + "issue:12359", + "issue:12367", + "issue:13477", + "issue:1643", + "issue:1976", + "issue:2177", + "issue:2375", + "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:5894", + "issue:6418", + "issue:6700", + "issue:7061", + "issue:7450", + "issue:7490", + "issue:7640", + "issue:785", + "issue:8803", + "issue:8805", + "issue:8876", + "issue:8970", + "issue:8997", + "issue:941", + "issue:954", + "issue:9844", + "issue:9926", + "issue:9958", + "issue:9972" + ], + "soft_pairs": [ + "issue:6700|issue:7640", + "issue:5894|issue:9972", + "issue:2375|issue:785", + "issue:2177|issue:954", + "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" + ], + "prepared_review_unit_hash": "58841e656c59ab82b0ff87f6657cd9572473638ea440050b46b95581d6d6e098", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33099, + "estimated_input_tokens": 8275, + "estimated_eval_tokens": 16806 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mixed bag of unrelated issues; the soft pairs mostly share only a broad subsystem or symptom word, not the same underlying bug. I would not merge any of the candidate pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:3672 is the strongest representative issue in this set: it has the highest discussion/inbound-reference activity and describes a concrete, well-scoped StableDiffusionPipeline concurrency failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3672 is the most substantive and high-signal issue here, so it is the best overall issue representative for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6700", + "right": "issue:7640", + "accept": false, + "reason": "Different failures: attention-processor temb TypeErrors vs SDXL from_single_file shape/dimension runtime error. Same general area, not the same bug." + }, + { + "left": "issue:5894", + "right": "issue:9972", + "accept": false, + "reason": "Both mention buffer sizes, but 5894 is a generic invalid-buffer error while 9972 is a MacOS-specific huge allocation/request issue. Not the same code-path problem." + }, + { + "left": "issue:2375", + "right": "issue:785", + "accept": false, + "reason": "safe_open NameError and PNDM scheduler performance are unrelated." + }, + { + "left": "issue:2177", + "right": "issue:954", + "accept": false, + "reason": "AutoencoderKL loading failure vs login/load issue; no shared bug mechanism." + }, + { + "left": "issue:2783", + "right": "issue:5462", + "accept": false, + "reason": "Both are img2img-related feature requests, but they target different pipeline additions and are not the same change." + }, + { + "left": "issue:2961", + "right": "issue:3455", + "accept": false, + "reason": "Training-example request for StableUnCLIP vs a separate instruct-pix2pix training request; different features." + }, + { + "left": "issue:3116", + "right": "issue:941", + "accept": false, + "reason": "Both report noise in img2img, but one is scheduler/inference-step specific and the other is MPS/num_images_per_prompt specific. Distinct bugs." + }, + { + "left": "issue:4148", + "right": "issue:4312", + "accept": false, + "reason": "SDXL inpainting config error vs SAG support request for inpainting/img2img. Not the same underlying issue." + }, + { + "left": "issue:5283", + "right": "issue:6418", + "accept": false, + "reason": "Completely different topics: media track merging vs stable video diffusion frame collapse." + }, + { + "left": "issue:5334", + "right": "issue:8803", + "accept": false, + "reason": "Accelerate multi-model training API request vs attention_processor hidden_states duplicate assignment bug. Unrelated." + }, + { + "left": "issue:5821", + "right": "issue:7490", + "accept": false, + "reason": "Both mention backward, but one is a CUDA training failure and the other is a generic backward problem. Not enough evidence of the same bug." + }, + { + "left": "issue:8803", + "right": "issue:8805", + "accept": false, + "reason": "Attention processor hidden_states bug vs SDXL conversion script failure; different code paths." + }, + { + "left": "issue:1109", + "right": "issue:2507", + "accept": false, + "reason": "CPU core utilization issue vs safetensors GPU load slowness; unrelated." + }, + { + "left": "issue:10085", + "right": "issue:10475", + "accept": false, + "reason": "LyCORIS batch-inference/skip_guidance_layers runtime error vs SD3 inference quality comparison during finetuning. Different problem classes." + }, + { + "left": "issue:3672", + "right": "issue:7450", + "accept": false, + "reason": "Both are threading-related, but one is StableDiffusionPipeline concurrency and the other is AutoencoderKL multithreading. Not the same concrete bug." + }, + { + "left": "issue:3970", + "right": "issue:4061", + "accept": false, + "reason": "SDXL prompt embeddings bug vs SDXL LoRA loading error; same model family, different failure modes." + }, + { + "left": "issue:8970", + "right": "issue:8997", + "accept": false, + "reason": "Both involve Kolors, but one is black images on MPS and the other is a scheduler usage error. Distinct issues." + }, + { + "left": "issue:12359", + "right": "issue:13477", + "accept": false, + "reason": "Documentation bug for Chroma guidance_scale vs ErnieImage callback locals() scope bug; unrelated." + }, + { + "left": "issue:10672", + "right": "issue:12367", + "accept": false, + "reason": "Callback-on-step-end support request vs Qwen-Image Eligen LoRA support request; different feature work." + }, + { + "left": "issue:9926", + "right": "issue:9958", + "accept": false, + "reason": "gguf quantize/speedup support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:1643", + "right": "issue:2420", + "accept": false, + "reason": "Both mention xformers, but one is a DreamBooth method-signature error and the other is a LoRA training example issue. Not the same bug." + }, + { + "left": "issue:10150", + "right": "issue:9844", + "accept": false, + "reason": "Slow loading/inference for SDXL pipelines vs NaNs from SDXL VAE encoder; different symptoms and likely different causes." + }, + { + "left": "issue:1976", + "right": "issue:3799", + "accept": false, + "reason": "Incorrect tokenizer file lookup vs incorrect inferred type for scheduler.from_pretrained; unrelated." + }, + { + "left": "issue:7061", + "right": "issue:8876", + "accept": false, + "reason": "Both are pipeline/doc/config style issues, but they concern different pipelines and different concrete 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": 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-50-3013", + "nodes": [ + "issue:10128", + "issue:10144", + "issue:10194", + "issue:10591", + "issue:10653", + "issue:1082", + "issue:11000", + "issue:11486", + "issue:11833", + "issue:11973", + "issue:12367", + "issue:1249", + "issue:12540", + "issue:12620", + "issue:12905", + "issue:13073", + "issue:1363", + "issue:1536", + "issue:1672", + "issue:1941", + "issue:2560", + "issue:2988", + "issue:3391", + "issue:3452", + "issue:3908", + "issue:4159", + "issue:4520", + "issue:4557", + "issue:4839", + "issue:5028", + "issue:5465", + "issue:590", + "issue:6091", + "issue:6906", + "issue:7341", + "issue:7428", + "issue:7722", + "issue:7773", + "issue:8237", + "issue:8317", + "issue:8589", + "issue:8708", + "issue:9477", + "issue:9495", + "issue:954", + "issue:967", + "issue:9902", + "issue:9936" + ], + "soft_pairs": [ + "issue:7341|issue:9902", + "issue:1363|issue:1536", + "issue:1941|issue:954", + "issue:10194|issue:12367", + "issue:1672|issue:6091", + "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" + ], + "prepared_review_unit_hash": "ca75944e1c39f868de19073887a41b7c3b78c6858ba411d041630c1d76655bbe", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "This cluster is a set of largely unrelated issue reports; none of the soft pairs look like true duplicates or the same fix/change. Most are only loosely related by broad themes like training scripts, schedulers, or guidance-scale support.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7341", + "right": "issue:9902", + "accept": false, + "reason": "Different problems: a TorchVersion/Version comparison TypeError vs a Conda version pinning/stuck-version report." + }, + { + "left": "issue:1363", + "right": "issue:1536", + "accept": false, + "reason": "Both involve custom/compatibility issues, but one is ONNX long-prompt weight + LMS scheduler, the other is lpw_stable_diffusion compatibility with newer diffusers." + }, + { + "left": "issue:1941", + "right": "issue:954", + "accept": false, + "reason": "Unrelated failures: custom pipeline loading for UnCLIP vs a login/load-after-login issue." + }, + { + "left": "issue:10194", + "right": "issue:12367", + "accept": false, + "reason": "Different feature requests for different models/pipelines: Flux attention masking vs Qwen-Image Eligen LoRA support." + }, + { + "left": "issue:1672", + "right": "issue:6091", + "accept": false, + "reason": "Both mention size, but one is image size after conversion and the other is a consistency decoder memory issue with a size argument." + }, + { + "left": "issue:3452", + "right": "issue:6906", + "accept": false, + "reason": "DreamBooth/training-related, but one is a low-VRAM question and the other is a broken LoRA DreamBooth example." + }, + { + "left": "issue:8317", + "right": "issue:8708", + "accept": false, + "reason": "Both concern SD3/VAE details, but one is a missing generator arg in AsymmetricAutoencoderKL decode and the other is missing shift_factor in training examples." + }, + { + "left": "issue:4159", + "right": "issue:5465", + "accept": false, + "reason": "Different DiffEdit bugs: excessive VRAM usage vs inpaint_strength only working at 0.8." + }, + { + "left": "issue:8237", + "right": "issue:9477", + "accept": false, + "reason": "Different issues: SDXL LoRA key loading vs a GatheredParameters callable error." + }, + { + "left": "issue:4520", + "right": "issue:5028", + "accept": false, + "reason": "Both mention scale/LoRA, but the failing code paths are different: attention slicing with lora_scale vs SDXL reference pipeline hacked block forward args." + }, + { + "left": "issue:7722", + "right": "issue:9495", + "accept": false, + "reason": "Both involve IPAdapter, but they are different pipelines and likely different bugs." + }, + { + "left": "issue:12540", + "right": "issue:13073", + "accept": false, + "reason": "Both are guidance-related, but one is SanaPipeline embeddings support and the other is ZImageControlNetPipeline guidance_scale behavior." + }, + { + "left": "issue:11973", + "right": "issue:9936", + "accept": false, + "reason": "Different training issues: missing instance_prompt arg vs NCCL timeout in multi-GPU controlnet training." + }, + { + "left": "issue:2988", + "right": "issue:590", + "accept": false, + "reason": "Both scheduler-related, but one is a crash at equal train/inference steps and the other is a Karras noise formula typo." + }, + { + "left": "issue:3391", + "right": "issue:4557", + "accept": false, + "reason": "Completely unrelated: overexposure in DeepFloyd super-resolution vs a __getattr__ AttributeError." + }, + { + "left": "issue:2560", + "right": "issue:3908", + "accept": false, + "reason": "Different domains: deterministic outputs with generator lists vs Streamlit model caching." + }, + { + "left": "issue:10128", + "right": "issue:7428", + "accept": false, + "reason": "Both are feature requests, but for unrelated features: fastercache vs layer diffusion." + }, + { + "left": "issue:10144", + "right": "issue:7773", + "accept": false, + "reason": "Different video-generation quality issues in different models/pipelines." + }, + { + "left": "issue:10591", + "right": "issue:12905", + "accept": false, + "reason": "Both are 'wrong' behavior reports, but they concern different components: SD3 LoRA training script vs Z_Image guidance scale implementation." + }, + { + "left": "issue:10653", + "right": "issue:11833", + "accept": false, + "reason": "Different device-management bugs: bitsandbytes 8bit .to(cpu) limitation vs set_lora_device KeyError." + }, + { + "left": "issue:1082", + "right": "issue:4839", + "accept": false, + "reason": "Unrelated errors: DreamBooth CUDA matmul failure vs a lora_scale type error." + }, + { + "left": "issue:11000", + "right": "issue:12620", + "accept": false, + "reason": "No overlap in bug/change: missing shift argument vs missing release assets." + }, + { + "left": "issue:11486", + "right": "issue:8589", + "accept": false, + "reason": "Different training concerns: enabling xformers memory-efficient attention vs SD3 prior preservation support." + }, + { + "left": "issue:1249", + "right": "issue:967", + "accept": false, + "reason": "Both are ONNX/scheduler related, but the reported failures and likely fixes 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": 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-50-3013", + "nodes": [ + "issue:10231", + "issue:10287", + "issue:1185", + "issue:12633", + "issue:1274", + "issue:13243", + "issue:1704", + "issue:1730", + "issue:1896", + "issue:1992", + "issue:2306", + "issue:2775", + "issue:3176", + "issue:3363", + "issue:3420", + "issue:3584", + "issue:3765", + "issue:3769", + "issue:3887", + "issue:3915", + "issue:4480", + "issue:4542", + "issue:4680", + "issue:4702", + "issue:4747", + "issue:4841", + "issue:4964", + "issue:5226", + "issue:5390", + "issue:5546", + "issue:5570", + "issue:5628", + "issue:5689", + "issue:5989", + "issue:6068", + "issue:6234", + "issue:6359", + "issue:6529", + "issue:6548", + "issue:6593", + "issue:6598", + "issue:7368", + "issue:7490", + "issue:7665", + "issue:7836", + "issue:8637", + "issue:8994", + "issue:9933" + ], + "soft_pairs": [ + "issue:1704|issue:1992", + "issue:3176|issue:6359", + "issue:3887|issue:8637", + "issue:4542|issue:6548", + "issue:4680|issue:6529", + "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" + ], + "prepared_review_unit_hash": "be6a7961ce506ec8bbe7b6ee40e2b4236b37bbd0cebd534752b6d5abd86a65ff", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33721, + "estimated_input_tokens": 8431, + "estimated_eval_tokens": 17118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly broad thematic matches rather than true duplicates; I would reject every edge. The strongest standalone issue in this set is the SDXL/DDIM sampling bug, which is the most concrete and reproducible report.", + "confidence": 0.86, + "canonical_issue_reason": "issue:6068 is the most technically precise and self-contained bug report: it names the exact scheduler, the SDXL code path, and the incorrect-sampling symptom with substantial discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6068 is the best representative issue because it is specific, reproducible, and directly tied to a single code path rather than a vague feature/question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1704", + "right": "issue:1992", + "accept": false, + "reason": "Both mention attention, but one is a general question and the other is a JAX refactor topic; not the same bug/change." + }, + { + "left": "issue:3176", + "right": "issue:6359", + "accept": false, + "reason": "TensorRT demo failure and a missing scheduler method are unrelated code paths." + }, + { + "left": "issue:3887", + "right": "issue:8637", + "accept": false, + "reason": "A quality/effect complaint about SD pipelines is unrelated to an import error for PixArtSigmaPipeline." + }, + { + "left": "issue:4542", + "right": "issue:6548", + "accept": false, + "reason": "One is about SDXL img2img generating only one image, the other is an RGBA latent-handling bug; different failure modes." + }, + { + "left": "issue:4680", + "right": "issue:6529", + "accept": false, + "reason": "General SDXL inpainting fine-tuning and a Fooocus inpaint request are not the same concrete issue." + }, + { + "left": "issue:4702", + "right": "issue:7368", + "accept": false, + "reason": "Training a VQ-VAE example and asking about GLIGEN training are different model/workflow requests." + }, + { + "left": "issue:4841", + "right": "issue:6234", + "accept": false, + "reason": "ControlNet image-size trouble and a text-to-image SDXL training script issue do not share the same bug." + }, + { + "left": "issue:4964", + "right": "issue:5390", + "accept": false, + "reason": "Model conversion to Diffusers and unwanted text-encoder downloads with local_files_only are unrelated." + }, + { + "left": "issue:5226", + "right": "issue:6593", + "accept": false, + "reason": "Both touch LoRA support, but they target different pipeline classes and different implementation paths." + }, + { + "left": "issue:5689", + "right": "issue:6068", + "accept": false, + "reason": "Both are scheduler-quality complaints, but DPM++ residual noise and DDIM incorrect samples are distinct scheduler bugs." + }, + { + "left": "issue:5989", + "right": "issue:7836", + "accept": false, + "reason": "A safetensors.torch bug and CLIP example overfitting are unrelated." + }, + { + "left": "issue:6598", + "right": "issue:9933", + "accept": false, + "reason": "Img2img parity differences and missing width/height parameters are different pipeline issues." + }, + { + "left": "issue:3363", + "right": "issue:3584", + "accept": false, + "reason": "Both involve DreamBooth, but one is a LoRA training failure and the other is a tutorial failure; not the same bug." + }, + { + "left": "issue:2775", + "right": "issue:5570", + "accept": false, + "reason": "A torch._dynamo optimization error and a missing compute_snr utility are unrelated." + }, + { + "left": "issue:5546", + "right": "issue:5628", + "accept": false, + "reason": "Both involve Karras sigmas, but one is wrong step counts in base+refiner while the other is denoising range offset in LMS; different code paths." + }, + { + "left": "issue:1274", + "right": "issue:1896", + "accept": false, + "reason": "A num_images_per_prompt failure and a CLIP-guided Stable Diffusion dict-size error are unrelated." + }, + { + "left": "issue:10231", + "right": "issue:10287", + "accept": false, + "reason": "Both are documentation/example complaints, but the first is a specific Ubuntu import error and the second is a generic docs issue." + }, + { + "left": "issue:2306", + "right": "issue:4747", + "accept": false, + "reason": "An INT_MAX runtime error and a missing model_index.json load error are different problems." + }, + { + "left": "issue:1185", + "right": "issue:1730", + "accept": false, + "reason": "DreamBooth reproducibility and CKPT conversion/webui incompatibility are different topics." + }, + { + "left": "issue:3765", + "right": "issue:3769", + "accept": false, + "reason": "Both mention image artifacts during training/inference, but controlnet stacking and panorama quartering are distinct issues." + }, + { + "left": "issue:3420", + "right": "issue:3915", + "accept": false, + "reason": "ControlNet inpaint pipeline incompatibility and torch.compile text-to-video failure are unrelated." + }, + { + "left": "issue:7490", + "right": "issue:7665", + "accept": false, + "reason": "A generic backward problem and an instruct-pix2pix issue are too vague and distinct to treat as the same bug." + }, + { + "left": "issue:12633", + "right": "issue:13243", + "accept": false, + "reason": "Both are scheduler timestep bugs, but one is DDIM linspace stepping and the other is FlowMatchEuler sigma shifting; different implementations." + }, + { + "left": "issue:4480", + "right": "issue:8994", + "accept": false, + "reason": "An MPS float16 kernel crash and generation steps stuck at 0 are not the same 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": 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-50-3013", + "nodes": [ + "issue:10311", + "issue:1082", + "issue:1161", + "issue:11659", + "issue:11700", + "issue:13311", + "issue:1574", + "issue:2068", + "issue:2213", + "issue:2614", + "issue:2772", + "issue:2784", + "issue:2891", + "issue:2985", + "issue:3040", + "issue:3381", + "issue:3584", + "issue:3591", + "issue:3954", + "issue:4314", + "issue:4353", + "issue:4354", + "issue:4471", + "issue:4753", + "issue:4880", + "issue:4913", + "issue:5128", + "issue:5412", + "issue:5480", + "issue:5567", + "issue:5619", + "issue:5714", + "issue:5905", + "issue:5925", + "issue:5931", + "issue:6201", + "issue:692", + "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:1574|issue:5412", + "issue:2068|issue:3591", + "issue:2784|issue:5480", + "issue:2985|issue:4913", + "issue:4471|issue:5714", + "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" + ], + "prepared_review_unit_hash": "4d557666d3725d3093374278c6b0d0f34a49d2cdcc1fb2c271e88f9c076b8632", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33971, + "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 mostly a loose collection of unrelated diffusers issues that only share superficial text similarity (DreamBooth, LoRA loading, pipeline loading, scheduler bugs, TPU/metal/device issues, docs/problems). None of the suggested soft pairs look like true duplicates or the same concrete fix.", + "confidence": 0.92, + "canonical_issue_reason": "If forced to pick one, issue #11659 is the most generic open bug about loading LoRA assets, but the cluster is too heterogeneous for a strong canonical issue choice.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #11659 is the broadest currently open user-facing loading problem in the set, so it is the least bad representative; still, it is not a good duplicate anchor for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1574", + "right": "issue:5412", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a bare-metal 8GB GPU training failure and the other is a resume_from_checkpoint bug in a different script; not the same code-path." + }, + { + "left": "issue:2068", + "right": "issue:3591", + "accept": false, + "reason": "One concerns dtype conversion in from_pretrained, the other ControlNet loss-curve behavior; unrelated bugs." + }, + { + "left": "issue:2784", + "right": "issue:5480", + "accept": false, + "reason": "Feature request for DreamBooth text-to-video support vs a request to implement EDM; different model features." + }, + { + "left": "issue:2985", + "right": "issue:4913", + "accept": false, + "reason": "Kandinsky 2.1 request vs a specific controlnet-openpose-sdxl model issue; no shared underlying bug/change." + }, + { + "left": "issue:4471", + "right": "issue:5714", + "accept": false, + "reason": "SDXL img2img LoRA loading bug vs maybe_raise_or_warn not supporting PeftModel; different objects and failure modes." + }, + { + "left": "issue:5905", + "right": "issue:5925", + "accept": false, + "reason": "Model-family request for diffusion-GAN vs ZipLora multi-LoRA inference enhancement; different changes." + }, + { + "left": "issue:3040", + "right": "issue:4880", + "accept": false, + "reason": "Docs-related AttributeError from pasted example vs ControlNet single-image input validation; unrelated code paths." + }, + { + "left": "issue:11700", + "right": "issue:9610", + "accept": false, + "reason": "Pruna integration for loading pipelines vs adding load_lora_weights to an SD3 img2img script; both involve loading, but not the same concrete fix." + }, + { + "left": "issue:5619", + "right": "issue:6201", + "accept": false, + "reason": "LCM img2img AutoencodeTiny encode bug vs stable_diffusion.py prompt_embeds/negative_prompt_embeds handling; different pipeline logic." + }, + { + "left": "issue:5567", + "right": "issue:9331", + "accept": false, + "reason": "Accelerator.prepare overwriting unet.config vs FlowMatchEulerDiscreteScheduler timestep indexing; unrelated subsystems." + }, + { + "left": "issue:10311", + "right": "issue:8742", + "accept": false, + "reason": "Dreambooth import error vs removal of LoRAAttnProcessor2_0 API; one is an import problem, the other an API deprecation break." + }, + { + "left": "issue:7661", + "right": "issue:7974", + "accept": false, + "reason": "AnimateDiff pipeline with IP-Adapter-loaded UNet vs inpaint with IP Adapter; same broad area, but different pipeline behavior and not a single fix." + }, + { + "left": "issue:8537", + "right": "issue:9224", + "accept": false, + "reason": "SD3 from_single_file hits missing torch.float8_e4m3fn vs hardcoded torch.float64 unsupported on MPS; different dtype issues on different devices." + }, + { + "left": "issue:2891", + "right": "issue:3381", + "accept": false, + "reason": "StableDiffusionUpscalePipeline embed support mismatch vs inpaint batch discoloration/docs issue; not the same bug." + }, + { + "left": "issue:2772", + "right": "issue:5128", + "accept": false, + "reason": "Local dataset path handling in train_controlnet.py vs loading a local .safetensors with XLPipeline.from_single_file; different input-validation/loading paths." + }, + { + "left": "issue:3954", + "right": "issue:4753", + "accept": false, + "reason": "Learning-rate scheduler step-count bug for multi-gpu examples vs something wrong with train_dreambooth_lora.py; different training script defects." + }, + { + "left": "issue:4353", + "right": "issue:5931", + "accept": false, + "reason": "Poor SDXL image quality vs non-deterministic StableDiffusionPipeline generation; different symptoms and likely different causes." + }, + { + "left": "issue:11659", + "right": "issue:13311", + "accept": false, + "reason": "Generic LoRA load issue vs Flux2Transformer2DModel reporting no LoRA keys; both are load-related, but the model classes and failure mechanisms differ." + }, + { + "left": "issue:2213", + "right": "issue:898", + "accept": false, + "reason": "TPU v4-8 distributed hang vs TPU bfloat16 scalar-type exception; same device family, but not the same bug." + }, + { + "left": "issue:4354", + "right": "issue:7946", + "accept": false, + "reason": "from_single_file returning wrong pipeline type vs custom_pipeline not being cached; different pipeline-construction/caching problems." + }, + { + "left": "issue:7922", + "right": "issue:8495", + "accept": false, + "reason": "Missing ORTStableDiffusionXLPipeline export vs SD3 tokenizer enum deserialization error; unrelated load failures." + }, + { + "left": "issue:1082", + "right": "issue:3584", + "accept": false, + "reason": "CUDA CUBLAS execution failure during DreamBooth training vs DreamBooth tutorial failure; one is a runtime GPU crash, the other a tutorial/documentation/training setup issue." + }, + { + "left": "issue:1161", + "right": "issue:692", + "accept": false, + "reason": "Flax-to-PyTorch conversion bug vs general request for a fine-tuning example; not duplicates." + }, + { + "left": "issue:2614", + "right": "issue:4314", + "accept": false, + "reason": "Changing pretrained-model download directory vs write-protected files after interrupted download; related to downloads, but distinct 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": 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-50-3013", + "nodes": [ + "issue:10204", + "issue:10800", + "issue:11489", + "issue:11569", + "issue:11651", + "issue:11885", + "issue:1207", + "issue:12175", + "issue:12334", + "issue:12501", + "issue:13067", + "issue:1367", + "issue:2669", + "issue:2799", + "issue:2905", + "issue:3019", + "issue:3045", + "issue:3113", + "issue:3174", + "issue:3233", + "issue:3699", + "issue:3728", + "issue:3960", + "issue:4578", + "issue:5009", + "issue:5026", + "issue:5205", + "issue:5334", + "issue:5578", + "issue:5710", + "issue:5763", + "issue:590", + "issue:6112", + "issue:6232", + "issue:6616", + "issue:7185", + "issue:725", + "issue:7370", + "issue:7389", + "issue:7600", + "issue:7841", + "issue:8759", + "issue:917", + "issue:938", + "issue:9858", + "issue:9946", + "issue:9953" + ], + "soft_pairs": [ + "issue:3019|issue:5205", + "issue:3113|issue:6616", + "issue:3699|issue:5763", + "issue:3728|issue:7370", + "issue:4578|issue:6112", + "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" + ], + "prepared_review_unit_hash": "b7cd4bf377182090dd3d22887e6e2ca9b1e8c57e4e2cf2a662aa8b7556e85da9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33051, + "estimated_input_tokens": 8263, + "estimated_eval_tokens": 16782 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most candidate pairs are only loosely related by subsystem or vague symptom wording and should be rejected; two pairs look like true duplicates around the same concrete bug/functionality.", + "confidence": 0.74, + "canonical_issue_reason": "issue:11885 is the clearest anchor for the FLUX LoRA-loading bug: it names the failing code path (`load_lora_weights`) and has the most detailed report among the closely related pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11885 is the strongest global issue candidate because it is specific, technical, and likely to subsume the related FluxControl loading report; it is more useful as a duplicate target than the broader or more generic issues here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3019", + "right": "issue:5205", + "accept": false, + "reason": "Both are image-editing/control features, but they describe different capabilities and not the same underlying bug." + }, + { + "left": "issue:3113", + "right": "issue:6616", + "accept": false, + "reason": "Both mention guidance/control, but one is a layout-control feature request and the other is classifier guidance implementation; not the same change." + }, + { + "left": "issue:3699", + "right": "issue:5763", + "accept": false, + "reason": "CUDA runtime import failure and safetensors save behavior are unrelated bugs." + }, + { + "left": "issue:3728", + "right": "issue:7370", + "accept": false, + "reason": "A new pipeline request and STDiT support request are different model/pipeline additions, not duplicates." + }, + { + "left": "issue:4578", + "right": "issue:6112", + "accept": false, + "reason": "Documentation/VAE mention versus noisy SDXL-Turbo output are unrelated issues." + }, + { + "left": "issue:5205", + "right": "issue:938", + "accept": false, + "reason": "Text-guided repaint/controlnet and human motion diffusion are different applications and code paths." + }, + { + "left": "issue:5334", + "right": "issue:7600", + "accept": false, + "reason": "Both concern training loops, but one is a general multi-model Accelerate API request and the other is a DreamBooth-specific accumulate bug." + }, + { + "left": "issue:2799", + "right": "issue:917", + "accept": false, + "reason": "Checkpoint/pipeline mismatch and ONNX inpainting failure are distinct problems." + }, + { + "left": "issue:11651", + "right": "issue:11885", + "accept": true, + "reason": "Both report FLUX LoRA loading failures around the same `load_lora_weights` path; they look like the same underlying bug." + }, + { + "left": "issue:3174", + "right": "issue:3960", + "accept": false, + "reason": "LoRA loading regression and Lora header-too-large error are different symptoms and likely different causes." + }, + { + "left": "issue:5578", + "right": "issue:7841", + "accept": false, + "reason": "Missing `model_index.json` and red-dot image quality issues are unrelated." + }, + { + "left": "issue:5710", + "right": "issue:6232", + "accept": false, + "reason": "Two scheduler bugs, but in different scheduler classes and with different failure modes." + }, + { + "left": "issue:11569", + "right": "issue:13067", + "accept": false, + "reason": "Both are feature requests for model support, but for different models and not the same change." + }, + { + "left": "issue:1367", + "right": "issue:590", + "accept": false, + "reason": "Scheduler config saving and Karras noise formula typo are separate scheduler issues." + }, + { + "left": "issue:5009", + "right": "issue:7389", + "accept": false, + "reason": "Wuerstchen error and SDXL single-file loading error are different pipelines and failures." + }, + { + "left": "issue:5026", + "right": "issue:7185", + "accept": false, + "reason": "A KeyError in model loading is not the same as a pytorch version support question." + }, + { + "left": "issue:1207", + "right": "issue:2669", + "accept": false, + "reason": "CUDA symbol resolution failure and a `NoneType.replace` error are unrelated." + }, + { + "left": "issue:10204", + "right": "issue:12175", + "accept": false, + "reason": "Both discuss poor output quality, but they target different models and do not point to the same bug." + }, + { + "left": "issue:11489", + "right": "issue:9858", + "accept": false, + "reason": "Flux LoRA training error and `KeyError: 'train'` are different training failures." + }, + { + "left": "issue:2905", + "right": "issue:725", + "accept": false, + "reason": "Karras sigmas support and device-map/accelerate loading are separate feature requests." + }, + { + "left": "issue:10800", + "right": "issue:8759", + "accept": false, + "reason": "Quantization/offload type mismatch and SD3 image cast warning are distinct issues." + }, + { + "left": "issue:3045", + "right": "issue:3233", + "accept": false, + "reason": "Converting LoRA to diffusers and converting trained LoRA to safetensors are opposite workflows, not duplicates." + }, + { + "left": "issue:12501", + "right": "issue:9953", + "accept": false, + "reason": "Graph break in VAE decoding and moving quantized components to CUDA are different code paths." + }, + { + "left": "issue:12334", + "right": "issue:9946", + "accept": true, + "reason": "Both are the same xFormers memory-efficient attention bug reported with nearly identical wording." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst stayed conservative on the non-duplicate pairs and the two accepted pairs are well grounded in the packet: 11651/11885 are both FLUX LoRA-loading reports centered on load_lora_weights, and 12334/9946 are near-identical xFormers attention bug reports. No soft-edge verdict 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": 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-50-3013", + "nodes": [ + "issue:1033", + "issue:10869", + "issue:11307", + "issue:11436", + "issue:12752", + "issue:1284", + "issue:13430", + "issue:1802", + "issue:1925", + "issue:2392", + "issue:2495", + "issue:2763", + "issue:2908", + "issue:3218", + "issue:3451", + "issue:3461", + "issue:3583", + "issue:3974", + "issue:4069", + "issue:4086", + "issue:4213", + "issue:4263", + "issue:4264", + "issue:4305", + "issue:4349", + "issue:487", + "issue:5108", + "issue:5371", + "issue:6242", + "issue:6392", + "issue:6393", + "issue:6790", + "issue:7197", + "issue:7199", + "issue:7333", + "issue:7509", + "issue:7574", + "issue:801", + "issue:8274", + "issue:8410", + "issue:8485", + "issue:8535", + "issue:8539", + "issue:8708", + "issue:9101", + "issue:967", + "issue:9792", + "issue:9895" + ], + "soft_pairs": [ + "issue:2763|issue:3218", + "issue:487|issue:801", + "issue:11307|issue:11436", + "issue:2495|issue:4349", + "issue:3583|issue:5371", + "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" + ], + "prepared_review_unit_hash": "4120f351e86d79387a1015b509a256befd170d99cb8e71e4e54df97aff57e7dc", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33951, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a set of loosely related diffusion-model issues and feature requests, not true duplicates. A few pairs share a subsystem or model family, but the concrete bug/change differs, so I would reject all soft edges.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10869 is the clearest, most general runtime bug report in the set: it describes a broadly applicable tensor/device failure with concrete error text and downstream references.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10869 is the best representative issue because its failure mode is generic and well-scoped, making it more suitable as a cluster anchor than the highly model- or script-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2763", + "right": "issue:3218", + "accept": false, + "reason": "Same broad ControlNet area, but one is VRAM growth under cudnn benchmark while the other is torch.compile graph breaks; different bugs and fixes." + }, + { + "left": "issue:487", + "right": "issue:801", + "accept": false, + "reason": "Both concern Stable Diffusion image generation on constrained hardware, but M1 CPU failure and attention slicing behavior are unrelated concrete issues." + }, + { + "left": "issue:11307", + "right": "issue:11436", + "accept": false, + "reason": "Same HiDream model family, but block-level group offloading problems and dtype mismatch during inference are distinct code-path failures." + }, + { + "left": "issue:2495", + "right": "issue:4349", + "accept": false, + "reason": "Both are pipeline failures, but MPS black-image output and missing text_encoder with prompt_embeds are different root causes." + }, + { + "left": "issue:3583", + "right": "issue:5371", + "accept": false, + "reason": "Both are feature requests for pipeline support, but they target different additions: Mixture of Diffusers vs BLIP inpainting." + }, + { + "left": "issue:4069", + "right": "issue:4263", + "accept": false, + "reason": "Both involve unloading adapters, but textual inversion unloading and LoRA unloading are separate mechanisms and likely separate fixes." + }, + { + "left": "issue:4213", + "right": "issue:6393", + "accept": false, + "reason": "Both mention from_single_file, but one is missing accelerate support and the other is private HF download/auth failure." + }, + { + "left": "issue:4264", + "right": "issue:8708", + "accept": false, + "reason": "SDXL example images missing and SD3 dreambooth shift_factor config are unrelated documentation/training issues." + }, + { + "left": "issue:6242", + "right": "issue:9792", + "accept": false, + "reason": "Dataset logging request and cache-mapping failure are not the same bug." + }, + { + "left": "issue:6392", + "right": "issue:6790", + "accept": false, + "reason": "Custom LoRA loading and an unexpected state_dict key in LCM training are different failure modes in different workflows." + }, + { + "left": "issue:7333", + "right": "issue:7509", + "accept": false, + "reason": "Different research pipelines: image-to-video generation vs real-image inversion; no shared bug." + }, + { + "left": "issue:8485", + "right": "issue:9101", + "accept": false, + "reason": "Both are SD3-related feature requests, but support for SD3 LoRA and an InstructPix2Pix training script are distinct changes." + }, + { + "left": "issue:3451", + "right": "issue:3461", + "accept": false, + "reason": "Both discuss training performance/memory, but one is fp16 memory regression in a text-to-image script and the other is broader Dreambooth slowdown/VRAM usage." + }, + { + "left": "issue:1802", + "right": "issue:967", + "accept": false, + "reason": "Unet encoder_hidden_states handling and ONNX scheduler compatibility are unrelated API issues." + }, + { + "left": "issue:1925", + "right": "issue:2908", + "accept": false, + "reason": "Both mention mixed precision, but one is half-precision inpainting failure and the other is array-shape plus mixed-precision errors in a ControlNet training script." + }, + { + "left": "issue:1033", + "right": "issue:2392", + "accept": false, + "reason": "Stable_diffusion_mega IndexError and prompt_embeds with img2img ValueError are different pipeline bugs." + }, + { + "left": "issue:7199", + "right": "issue:8274", + "accept": false, + "reason": "Different generation methods and use cases; no shared underlying defect." + }, + { + "left": "issue:1284", + "right": "issue:4305", + "accept": false, + "reason": "Batch-size performance scaling and torch.compile graph breaks are unrelated concerns." + }, + { + "left": "issue:10869", + "right": "issue:9895", + "accept": false, + "reason": "Both are tensor/device placement problems, but meta-tensor item() failure and FluxPipeline cross-device mismatch are distinct errors." + }, + { + "left": "issue:8535", + "right": "issue:8539", + "accept": false, + "reason": "Both are SD3-related, but one requests xformers attention support and the other reports cross-attention setting issues in the transformer." + }, + { + "left": "issue:12752", + "right": "issue:13430", + "accept": false, + "reason": "Both are image-editing pipeline requests, but Z-Image img2img/inpainting support and JoyAI-Image-Edit support are separate models/features." + }, + { + "left": "issue:3974", + "right": "issue:8410", + "accept": false, + "reason": "ControlNet safetensors loading and native TextDiffuser pipeline support are unrelated." + }, + { + "left": "issue:4086", + "right": "issue:5108", + "accept": false, + "reason": "Both involve SDXL training, but one is ControlNet training failure and the other is MultiAdapter inference exceptions; different concrete paths." + }, + { + "left": "issue:7197", + "right": "issue:7574", + "accept": false, + "reason": "Both are KeyError reports during training, but they reference different missing keys and likely different checkpoint/model mismatches." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10658", + "issue:10767", + "issue:10967", + "issue:11307", + "issue:11437", + "issue:11687", + "issue:12157", + "issue:12501", + "issue:12610", + "issue:12645", + "issue:1407", + "issue:1704", + "issue:2370", + "issue:2616", + "issue:2644", + "issue:2646", + "issue:2661", + "issue:2662", + "issue:2780", + "issue:2783", + "issue:2843", + "issue:3279", + "issue:3379", + "issue:3406", + "issue:3418", + "issue:3454", + "issue:3698", + "issue:4480", + "issue:460", + "issue:5043", + "issue:5062", + "issue:5368", + "issue:5395", + "issue:5557", + "issue:5997", + "issue:6250", + "issue:6321", + "issue:6858", + "issue:6879", + "issue:6958", + "issue:7438", + "issue:8744", + "issue:8837", + "issue:905", + "issue:9138", + "issue:9227", + "issue:9558" + ], + "soft_pairs": [ + "issue:4480|issue:7438", + "issue:5368|issue:5557", + "issue:5997|issue:8744", + "issue:12501|issue:12610", + "issue:2370|issue:2780", + "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" + ], + "prepared_review_unit_hash": "72e9c69d022d33ec6727788ee45d6a05fe751e45161bb4f352dea224cebb77f8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33425, + "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 a loose mix of unrelated Diffusers/ONNX/training issues; none of the soft pairs look like true duplicates or mergeable PR-equivalents. The best canonical anchor, if one must be chosen, is the checkpoint write-error report (#2662), but the overall cluster is not semantically cohesive.", + "confidence": 0.86, + "canonical_issue_reason": "#2662 is the cleanest, most general version of the checkpoint-saving write-error report and is the best duplicate anchor among the items.", + "canonical_pr_reason": null, + "best_issue_reason": "#6858 is the strongest standalone issue: detailed repro, concrete runtime error, active discussion, and still open for follow-up.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4480", + "right": "issue:7438", + "accept": false, + "reason": "MPS float16 kernel crash vs XPU generation stall; different device/runtime failures." + }, + { + "left": "issue:5368", + "right": "issue:5557", + "accept": false, + "reason": "Mixed-precision dtype mismatch vs unexpected kwarg error; unrelated code paths." + }, + { + "left": "issue:5997", + "right": "issue:8744", + "accept": false, + "reason": "SDXL tutorial model-type error vs feature request for single-file training support." + }, + { + "left": "issue:12501", + "right": "issue:12610", + "accept": false, + "reason": "Graph break in VAE decoder vs device mismatch from quanto + group offload." + }, + { + "left": "issue:2370", + "right": "issue:2780", + "accept": false, + "reason": "GPU memory/capacity question vs FP16 gradient unscale runtime error." + }, + { + "left": "issue:2783", + "right": "issue:3698", + "accept": false, + "reason": "New pipeline request vs model conversion request; not the same bug." + }, + { + "left": "issue:2646", + "right": "issue:6250", + "accept": false, + "reason": "Tiled VAE index failure vs SDXL VAE single-file KeyError; distinct failures." + }, + { + "left": "issue:10767", + "right": "issue:10967", + "accept": false, + "reason": "Different model integration requests, only broadly about adding models to diffusers." + }, + { + "left": "issue:2616", + "right": "issue:2843", + "accept": false, + "reason": "Checkpoint save traceback vs multi-GPU checkpoint feature request." + }, + { + "left": "issue:3379", + "right": "issue:6321", + "accept": false, + "reason": "Intermediate checkpoint loading issue vs CLIP model detection problem." + }, + { + "left": "issue:5368", + "right": "issue:6879", + "accept": false, + "reason": "Both involve dtype mismatches, but different symptoms and code paths." + }, + { + "left": "issue:11307", + "right": "issue:9227", + "accept": false, + "reason": "Group offloading bug in HiDream vs FLUX DreamBooth LoRA training issue." + }, + { + "left": "issue:2644", + "right": "issue:3454", + "accept": false, + "reason": "Hardware feasibility question vs latest-version compatibility bug." + }, + { + "left": "issue:5395", + "right": "issue:8837", + "accept": false, + "reason": "LoRA merging problem vs sliced-attention processor bug; unrelated." + }, + { + "left": "issue:10658", + "right": "issue:11687", + "accept": false, + "reason": "API feature request vs documentation addition; not the same change." + }, + { + "left": "issue:11437", + "right": "issue:9558", + "accept": false, + "reason": "Missing training outputs vs black validation image in TensorBoard." + }, + { + "left": "issue:1407", + "right": "issue:460", + "accept": false, + "reason": "ONNX pipeline feature-extractor regression vs runtime installation requirement." + }, + { + "left": "issue:1704", + "right": "issue:5062", + "accept": false, + "reason": "General attention-block question vs a typo fix." + }, + { + "left": "issue:2661", + "right": "issue:3279", + "accept": false, + "reason": "Checkpoint write error vs resume-from-checkpoint error; related area but different bug." + }, + { + "left": "issue:2662", + "right": "issue:3279", + "accept": false, + "reason": "Checkpoint saving write error vs resume checkpoint failure; not the same issue." + }, + { + "left": "issue:3406", + "right": "issue:6958", + "accept": false, + "reason": "Attention-class behavior question vs motion model config bug." + }, + { + "left": "issue:3418", + "right": "issue:5043", + "accept": false, + "reason": "Adding text-encoder support vs adding Wurstchen LoRA finetuning." + }, + { + "left": "issue:3698", + "right": "issue:905", + "accept": false, + "reason": "Inpainting model conversion vs community pipeline request; different scope." + }, + { + "left": "issue:6858", + "right": "issue:9138", + "accept": false, + "reason": "ControlNet training convert() error vs generic type-comparison TypeError." + }, + { + "left": "issue:12157", + "right": "issue:12645", + "accept": false, + "reason": "Quantization-config iterable error vs inference speed comparison; not a duplicate 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": 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-50-3013", + "nodes": [ + "issue:10003", + "issue:10194", + "issue:10470", + "issue:10520", + "issue:1064", + "issue:10869", + "issue:11104", + "issue:11144", + "issue:12656", + "issue:1543", + "issue:2052", + "issue:2068", + "issue:2310", + "issue:2661", + "issue:2662", + "issue:2772", + "issue:2786", + "issue:3112", + "issue:3348", + "issue:3350", + "issue:3951", + "issue:3984", + "issue:4229", + "issue:4403", + "issue:4727", + "issue:4841", + "issue:4975", + "issue:5000", + "issue:5062", + "issue:5395", + "issue:5824", + "issue:5884", + "issue:7136", + "issue:756", + "issue:7695", + "issue:7735", + "issue:775", + "issue:7773", + "issue:8469", + "issue:8594", + "issue:8644", + "issue:8850", + "issue:8880", + "issue:9109", + "issue:929", + "issue:9291", + "issue:9361", + "issue:9599" + ], + "soft_pairs": [ + "issue:9291|issue:9361", + "issue:10470|issue:8880", + "issue:4229|issue:8594", + "issue:11144|issue:9109", + "issue:3350|issue:4727", + "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" + ], + "prepared_review_unit_hash": "8ffdfdeb84dfe0f086186e74113b8980d736a1abf8cb1ed7a31696048da8f73a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33991, + "estimated_input_tokens": 8498, + "estimated_eval_tokens": 17252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a noisy mix of unrelated bug reports; the only mild thematic concentration is around Flux/LoRA inference issues, but none of the soft pairs look like true duplicates or mergeable change requests.", + "confidence": 0.18, + "canonical_issue_reason": "issue:9361 is the clearest, user-facing Flux/LoRA inference bug in the set and is the best representative of the small Flux-related subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9361 is specific, reproducible, and actionable, making it the strongest standalone issue anchor among the Flux/LoRA reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9291", + "right": "issue:9361", + "accept": false, + "reason": "Both are Flux LoRA problems, but one is key compatibility and the other is no-effect inference; related theme, not the same bug." + }, + { + "left": "issue:10470", + "right": "issue:8880", + "accept": false, + "reason": "Different problems: torchao inference failure vs. a version-related speed regression." + }, + { + "left": "issue:4229", + "right": "issue:8594", + "accept": false, + "reason": "Both are training-script errors, but they hit different scripts and different code paths." + }, + { + "left": "issue:11144", + "right": "issue:9109", + "accept": false, + "reason": "Completely unrelated: Flax dtype initialization vs. torchvision nms missing." + }, + { + "left": "issue:3350", + "right": "issue:4727", + "accept": false, + "reason": "No shared underlying bug; animov errors and local_files_only auto-pipeline behavior are unrelated." + }, + { + "left": "issue:10520", + "right": "issue:10869", + "accept": false, + "reason": "Both involve runtime tensor/device issues, but one is a CUDA/CPU device mismatch and the other is a meta-tensor .item() failure." + }, + { + "left": "issue:2310", + "right": "issue:3112", + "accept": false, + "reason": "Both mention inpainting, but they describe different features and failures." + }, + { + "left": "issue:8469", + "right": "issue:8850", + "accept": false, + "reason": "Corrupt faces in an IP-Adapter model is unrelated to community pipeline mirror breakage." + }, + { + "left": "issue:1543", + "right": "issue:775", + "accept": false, + "reason": "fp16/revision loading and fp16 without autocast are different issues with different failure modes." + }, + { + "left": "issue:1064", + "right": "issue:3951", + "accept": false, + "reason": "Scheduler add_noise error and UniDiffuser NaNs are not the same code-path problem." + }, + { + "left": "issue:2786", + "right": "issue:3348", + "accept": false, + "reason": "Different subsystems: depth2img numpy/transformers compatibility vs. LoRA scale behavior under xformers." + }, + { + "left": "issue:2068", + "right": "issue:4975", + "accept": false, + "reason": "One is a functional dtype-conversion bug; the other is a performance issue about repeated dtype queries." + }, + { + "left": "issue:2052", + "right": "issue:2661", + "accept": false, + "reason": "Checkpoint resume and checkpoint write failures are different training workflow problems." + }, + { + "left": "issue:2052", + "right": "issue:2662", + "accept": false, + "reason": "Resume-from-checkpoint is not the same as generic checkpoint write errors." + }, + { + "left": "issue:10194", + "right": "issue:9599", + "accept": false, + "reason": "Full Flux attention masking support is unrelated to asking for a LoRA-only finetune example." + }, + { + "left": "issue:3984", + "right": "issue:756", + "accept": false, + "reason": "These are unrelated API errors with different triggers." + }, + { + "left": "issue:4403", + "right": "issue:7695", + "accept": false, + "reason": "Half-precision kernel support and ignored ip_adapter_masks are different bugs." + }, + { + "left": "issue:4841", + "right": "issue:7773", + "accept": false, + "reason": "ControlNet image sizing and Stable Video Diffusion batch-size behavior are not the same defect." + }, + { + "left": "issue:5062", + "right": "issue:929", + "accept": false, + "reason": "A typo in attention code is unrelated to a duplicate square-root calculation question." + }, + { + "left": "issue:5884", + "right": "issue:7136", + "accept": false, + "reason": "IP-Adapter support expansion and callback_on_step_end for LDM3D are separate feature requests." + }, + { + "left": "issue:11104", + "right": "issue:8644", + "accept": false, + "reason": "Both mention offload/meta-tensor-style failures, but they affect different models and different loading paths." + }, + { + "left": "issue:2772", + "right": "issue:2786", + "accept": false, + "reason": "Different training/inference bugs with no shared concrete failure mode." + }, + { + "left": "issue:10003", + "right": "issue:12656", + "accept": false, + "reason": "Scheduler behavior at 1000 steps and AuraFlow positional embedding OOB are unrelated." + }, + { + "left": "issue:5000", + "right": "issue:5395", + "accept": false, + "reason": "Both involve LoRAs, but one is fuse/unfuse regression and the other is combining Civitai LoRAs with PEFT." + }, + { + "left": "issue:5824", + "right": "issue:7735", + "accept": false, + "reason": "SDXL add_time_ids default behavior is unrelated to a dataset caption-column 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": 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-50-3013", + "nodes": [ + "issue:10025", + "issue:10412", + "issue:10675", + "issue:1076", + "issue:11135", + "issue:11148", + "issue:1398", + "issue:1524", + "issue:1642", + "issue:1734", + "issue:1866", + "issue:2392", + "issue:2984", + "issue:3089", + "issue:319", + "issue:3284", + "issue:337", + "issue:3418", + "issue:3748", + "issue:3788", + "issue:4086", + "issue:4213", + "issue:4337", + "issue:4438", + "issue:444", + "issue:4557", + "issue:4665", + "issue:4753", + "issue:5054", + "issue:5325", + "issue:5510", + "issue:5798", + "issue:6079", + "issue:6176", + "issue:6452", + "issue:6486", + "issue:660", + "issue:6783", + "issue:6967", + "issue:7300", + "issue:7370", + "issue:760", + "issue:8414", + "issue:8534", + "issue:9106", + "issue:9166", + "issue:9460" + ], + "soft_pairs": [ + "issue:2392|issue:5325", + "issue:6176|issue:7300", + "issue:11135|issue:8414", + "issue:1642|issue:3089", + "issue:1866|issue:337", + "issue:4086|issue:444", + "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" + ], + "prepared_review_unit_hash": "3f63d124dcab0ac3526b8ccc2d0bb9c8752502828c20fcc97724e6b020b6332a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "These items are not a single duplicate cluster; they span unrelated bugs and feature requests across Flux, SDXL, DreamBooth, ControlNet, schedulers, PEFT, and new-model/pipeline proposals. All soft matches are title-similarity only and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the issues cover multiple unrelated code paths and product areas, so there is no true duplicate set to collapse into one issue.", + "canonical_pr_reason": null, + "best_issue_reason": "None of the issues is a good global representative because the cluster is heterogeneous; if forced, the most specific recent issue should not be used as a stand-in for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2392", + "right": "issue:5325", + "accept": false, + "reason": "Different problems: an img2img `prompt_embeds` validation error vs. packaging type information distribution." + }, + { + "left": "issue:6176", + "right": "issue:7300", + "accept": false, + "reason": "Both involve LoRA/training-adjacent symptoms, but one is a post-training LoRA load issue and the other is high GPU memory after changing attention processors; different code paths." + }, + { + "left": "issue:11135", + "right": "issue:8414", + "accept": false, + "reason": "Both are new-model/pipeline proposals, but they target different modalities and architectures: diffusion transformer caching vs. text-to-audio consistency distillation." + }, + { + "left": "issue:1642", + "right": "issue:3089", + "accept": false, + "reason": "Both are scheduler-related, but one is a missing `forward` implementation in ScoreSdeVeScheduler and the other is a ddpm scheduler bug; not the same defect." + }, + { + "left": "issue:1866", + "right": "issue:337", + "accept": false, + "reason": "Img2img scheduler strength behavior is unrelated to img2img/text-guided inpainting functionality." + }, + { + "left": "issue:4086", + "right": "issue:444", + "accept": false, + "reason": "ControlNet training on SDXL base is unrelated to an IndexError for certain inference-step counts." + }, + { + "left": "issue:4213", + "right": "issue:6783", + "accept": false, + "reason": "`from_single_file()` requiring accelerate and PixArt-XL-2 bad generations are different failures in different pipelines." + }, + { + "left": "issue:1398", + "right": "issue:760", + "accept": false, + "reason": "Both mention MPS, but one is SD2 on Apple Silicon and the other is unexpected SD1.5 output on MPS with an old diffusers version; not the same bug." + }, + { + "left": "issue:1524", + "right": "issue:4753", + "accept": false, + "reason": "Poor textual inversion quality and a vague train_dreambooth_lora.py failure are different training issues with different failure modes." + }, + { + "left": "issue:4337", + "right": "issue:4665", + "accept": false, + "reason": "`torch.compile` failing in a community ControlNetReference is unrelated to Windows safetensors/bin-file selection behavior." + }, + { + "left": "issue:4557", + "right": "issue:9106", + "accept": false, + "reason": "These are both AttributeError-style reports, but they reference different objects and different model paths; no evidence of the same bug." + }, + { + "left": "issue:5510", + "right": "issue:6079", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and involve different layers/configurations." + }, + { + "left": "issue:6486", + "right": "issue:8534", + "accept": false, + "reason": "DreamBooth embedding retraction being applied twice is unrelated to SD3 dreambooth logit-normal weighting." + }, + { + "left": "issue:10412", + "right": "issue:6967", + "accept": false, + "reason": "One is SD3.5 DreamBooth VRAM usage, the other is an SDXL prior-preservation shape mismatch; different resource and tensor-shape problems." + }, + { + "left": "issue:5798", + "right": "issue:9166", + "accept": false, + "reason": "Unexpected callback argument in ControlNet pipeline is unrelated to `image_processor.apply_overlay` behavior." + }, + { + "left": "issue:1734", + "right": "issue:3284", + "accept": false, + "reason": "Both mention DreamBooth/accelerate, but one is multi-GPU training slowness and the other is a train script failure; not the same underlying issue." + }, + { + "left": "issue:10025", + "right": "issue:10675", + "accept": false, + "reason": "Flux attention-mask support and Flux scheduler `max_shift` configuration are separate Flux features/bugs." + }, + { + "left": "issue:1076", + "right": "issue:319", + "accept": false, + "reason": "Stable Diffusion v1-5 discussion and VQ-Diffusion are unrelated model topics." + }, + { + "left": "issue:11148", + "right": "issue:9460", + "accept": false, + "reason": "PEFT adapter loading state is unrelated to allowing a list of SD3 ControlNet models in the pipeline." + }, + { + "left": "issue:2984", + "right": "issue:7370", + "accept": false, + "reason": "A latent video diffusion model request is unrelated to OpenSora STDiT support." + }, + { + "left": "issue:3418", + "right": "issue:6452", + "accept": false, + "reason": "Adding text-encoder handling in a LoRA training script is unrelated to adding `masked_image_latents` to ControlNet inpaint." + }, + { + "left": "issue:3748", + "right": "issue:660", + "accept": false, + "reason": "LoRA QK dtype mismatch from safetensors is unrelated to running fp16 on MPS." + }, + { + "left": "issue:3788", + "right": "issue:7370", + "accept": false, + "reason": "UniControl pipeline request and OpenSora STDiT support are different new-pipeline/model proposals." + }, + { + "left": "issue:4438", + "right": "issue:5054", + "accept": false, + "reason": "An SDXL pipeline error and missing `final_offload_hook` are different runtime failures with no shared concrete 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": 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-50-3013", + "nodes": [ + "issue:10054", + "issue:10303", + "issue:10659", + "issue:10674", + "issue:1106", + "issue:11398", + "issue:11642", + "issue:12299", + "issue:1305", + "issue:1310", + "issue:1405", + "issue:1805", + "issue:1990", + "issue:2068", + "issue:2331", + "issue:2459", + "issue:2532", + "issue:2579", + "issue:3043", + "issue:3113", + "issue:3391", + "issue:3861", + "issue:389", + "issue:4219", + "issue:4542", + "issue:4551", + "issue:462", + "issue:4868", + "issue:4933", + "issue:5046", + "issue:5570", + "issue:5743", + "issue:5897", + "issue:6008", + "issue:6584", + "issue:6809", + "issue:7276", + "issue:7460", + "issue:7492", + "issue:7497", + "issue:801", + "issue:9164", + "issue:9358", + "issue:9443", + "issue:954", + "issue:9548", + "issue:9974" + ], + "soft_pairs": [ + "issue:10303|issue:7460", + "issue:1305|issue:5046", + "issue:1805|issue:3043", + "issue:3391|issue:4868", + "issue:5570|issue:6008", + "issue:10054|issue:9974", + "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" + ], + "prepared_review_unit_hash": "eaeb18a6c5fc137cfc218785e7aa0f2a4ed0d04b88b2981122327984653ee218", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33221, + "estimated_input_tokens": 8306, + "estimated_eval_tokens": 16868 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a grab bag of unrelated bugs/features. I only see one plausible duplicate pair around `enable_attention_slicing()` regressions; the rest target different models, pipelines, or failure modes.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 1405 is the broadest and earliest report of the attention-slicing regression, so it is the best umbrella representative for the one plausible duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "1405 best captures the shared code-path problem (`enable_attention_slicing()` not being honored) and is the most general reproduction among the issues here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10303", + "right": "issue:7460", + "accept": false, + "reason": "Different components and failures: attention tensor permutation in `head_to_batch_dim` vs AdaLayerNorm behavior." + }, + { + "left": "issue:1305", + "right": "issue:5046", + "accept": false, + "reason": "Both are image-editing related, but they describe different methods/proposals (`Direct Inversion` vs `DragonDiffusion`) rather than the same bug or change." + }, + { + "left": "issue:1805", + "right": "issue:3043", + "accept": false, + "reason": "Unrelated requests: a scalable diffusion pipeline vs adding ODISE." + }, + { + "left": "issue:3391", + "right": "issue:4868", + "accept": false, + "reason": "Different failure modes and areas: overexposure in DeepFloyd SR vs an `__getattr__` AttributeError." + }, + { + "left": "issue:5570", + "right": "issue:6008", + "accept": false, + "reason": "Unrelated package/API issues: missing `compute_snr` vs IP-Adapter/LCM-LoRA inference failure." + }, + { + "left": "issue:10054", + "right": "issue:9974", + "accept": false, + "reason": "Different scheduler/config problems: wrong `torch.linspace` parameters in EulerDiscreteScheduler vs SD3 controlnet expected-parameter handling." + }, + { + "left": "issue:1310", + "right": "issue:1990", + "accept": false, + "reason": "Both are pipeline ideas, but they are distinct proposals for different workflows and do not describe the same change." + }, + { + "left": "issue:2331", + "right": "issue:3043", + "accept": false, + "reason": "Both mention pipelines, but one is ControlNet support and the other is ODISE; these are separate feature requests." + }, + { + "left": "issue:3113", + "right": "issue:7497", + "accept": false, + "reason": "Different research/feature requests with different goals and code paths." + }, + { + "left": "issue:12299", + "right": "issue:9443", + "accept": false, + "reason": "Distinct SD3 issues: tensor mismatch with negative prompt embeddings vs tokenizer slow/fast instantiation." + }, + { + "left": "issue:4542", + "right": "issue:6809", + "accept": false, + "reason": "Different bugs: SDXL img2img multi-image generation vs LoRA adapter loading under PEFT." + }, + { + "left": "issue:7276", + "right": "issue:9548", + "accept": false, + "reason": "Different Dreambooth/Flux problems with different symptoms; not the same underlying bug." + }, + { + "left": "issue:4933", + "right": "issue:954", + "accept": false, + "reason": "Completely different areas: missing model artifact after training vs login/load failure." + }, + { + "left": "issue:9164", + "right": "issue:9358", + "accept": false, + "reason": "Both involve Flux Dreambooth LoRA, but one is convergence on a sample prompt and the other is redundant text-encoder reinitialization; not clearly the same bug." + }, + { + "left": "issue:1106", + "right": "issue:2459", + "accept": false, + "reason": "Different code paths: PNDM repeatedly calling UNet vs xFormers attention in a training script." + }, + { + "left": "issue:2532", + "right": "issue:2579", + "accept": false, + "reason": "Panorama `get_views` bug and a possible xFormers issue are unrelated." + }, + { + "left": "issue:389", + "right": "issue:462", + "accept": false, + "reason": "README example breakage is not the same as the Apple MPS img2img regression." + }, + { + "left": "issue:4551", + "right": "issue:5743", + "accept": false, + "reason": "Different training failures: DreamBooth crash on SDXL base vs latent consistency distillation stuck at 0%." + }, + { + "left": "issue:10659", + "right": "issue:10674", + "accept": false, + "reason": "Different models and symptoms: poor ConsisID output vs FluxPipeline/GGUF incompatibility." + }, + { + "left": "issue:11398", + "right": "issue:11642", + "accept": false, + "reason": "Both are Flux-related, but one is missing config/set_default_attn_processor support and the other is `prompt_embeds_scale` having no effect; separate issues." + }, + { + "left": "issue:2068", + "right": "issue:3861", + "accept": false, + "reason": "`from_pretrained` dtype conversion behavior is unrelated to the `Pipeline.from_pretrained` naming/question." + }, + { + "left": "issue:1405", + "right": "issue:801", + "accept": true, + "reason": "Both report the same underlying regression: `enable_attention_slicing()` is not being respected in pipeline inference, with one broader report and one that calls out inpainting/img2img specifically." + }, + { + "left": "issue:5897", + "right": "issue:7492", + "accept": false, + "reason": "LoRA device-mismatch training error and a Hugging Face repository-not-found error are unrelated." + }, + { + "left": "issue:4219", + "right": "issue:6584", + "accept": false, + "reason": "Both concern conversion tooling, but they are different checkpoint/model cases and do not clearly indicate the same bug or change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative on the soft-edge pairs. The only accepted duplicate, issue:1405 vs issue:801, is well supported by the titles and the summary does not overclaim beyond that. The other pairwise rejections are plausible and appropriately cautious." + }, + "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-50-3013", + "nodes": [ + "issue:10010", + "issue:10112", + "issue:10382", + "issue:10752", + "issue:10855", + "issue:10897", + "issue:1106", + "issue:11220", + "issue:11627", + "issue:1188", + "issue:12071", + "issue:12149", + "issue:12895", + "issue:1298", + "issue:13034", + "issue:1675", + "issue:176", + "issue:1949", + "issue:2153", + "issue:2163", + "issue:2377", + "issue:2695", + "issue:2712", + "issue:2800", + "issue:2856", + "issue:3112", + "issue:338", + "issue:339", + "issue:3565", + "issue:3958", + "issue:4042", + "issue:4052", + "issue:4069", + "issue:4303", + "issue:4542", + "issue:477", + "issue:5374", + "issue:5405", + "issue:5607", + "issue:6113", + "issue:6793", + "issue:7428", + "issue:7562", + "issue:7686", + "issue:8236", + "issue:8801", + "issue:9822" + ], + "soft_pairs": [ + "issue:11627|issue:12895", + "issue:5607|issue:7686", + "issue:10382|issue:6793", + "issue:2695|issue:2712", + "issue:3958|issue:7562", + "issue:10010|issue:9822", + "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" + ], + "prepared_review_unit_hash": "7b4f5ef4b06c7779bbb31c1cd229db1e4a9c6f9e93e1c8f0116504caf3c3ecd0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33314, + "estimated_input_tokens": 8329, + "estimated_eval_tokens": 16914 + }, + "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 spanning model support requests, training bugs, pipeline regressions, docs, and scheduler/config problems. The proposed soft pairs are mostly superficial title similarity and do not describe the same underlying defect or change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11627", + "right": "issue:12895", + "accept": false, + "reason": "Both mention StableDiffusion3Pipeline, but one is a specific InstantX IP-Adapter support request and the other is a num_images_per_prompt batched-prompt crash; different bugs/changes." + }, + { + "left": "issue:5607", + "right": "issue:7686", + "accept": false, + "reason": "Both are runtime errors, but the first is a tensor shape mismatch in a pipeline and the second is a UNet config/cross-attention initialization error; unrelated code paths." + }, + { + "left": "issue:10382", + "right": "issue:6793", + "accept": false, + "reason": "One reports VAE forward return-type AttributeError, the other is a Hydra serialization problem; not the same issue." + }, + { + "left": "issue:2695", + "right": "issue:2712", + "accept": false, + "reason": "ControlNet validation/tensorboard behavior and missing norm_num_groups config are different training/configuration problems." + }, + { + "left": "issue:3958", + "right": "issue:7562", + "accept": false, + "reason": "Both involve offload and adapters, but one is LoRA with enable_model_cpu_offload and the other is multicontrolnet offload failure; not the same concrete bug." + }, + { + "left": "issue:10010", + "right": "issue:9822", + "accept": false, + "reason": "FLUX Fill model_index.json 404 vs loading SDXL LoRAs into Flux are unrelated compatibility/model-loading issues." + }, + { + "left": "issue:10112", + "right": "issue:7428", + "accept": false, + "reason": "The first is an unclear diffusers discussion issue, while the second is a request to support layer diffusion; no shared defect." + }, + { + "left": "issue:10752", + "right": "issue:13034", + "accept": false, + "reason": "FP16 gradient unscale failure and WanPipeline height/width handling are different bugs." + }, + { + "left": "issue:10855", + "right": "issue:12071", + "accept": false, + "reason": "Gradient accumulation causing optimizer.step every step is unrelated to Flux Kontext transformer forward behavior changes." + }, + { + "left": "issue:10897", + "right": "issue:8801", + "accept": false, + "reason": "Both are feature requests for different models (SkyReels-A1 vs Kolors); not duplicates." + }, + { + "left": "issue:1106", + "right": "issue:2163", + "accept": false, + "reason": "PNDM repeatedly calling UNet and a dtype mismatch during text-to-image training are separate problems." + }, + { + "left": "issue:11220", + "right": "issue:12149", + "accept": false, + "reason": "Broken docs page and pip/source version mismatch are distinct release/documentation issues." + }, + { + "left": "issue:1188", + "right": "issue:2800", + "accept": false, + "reason": "CLIPSeg x Stable Diffusion pipeline request and DiffEdit pipeline request are different additions." + }, + { + "left": "issue:1298", + "right": "issue:4542", + "accept": false, + "reason": "Both concern img2img pipelines, but one is a regression in Stable Diffusion img2img and the other is SDXL img2img output count limitation; different failures." + }, + { + "left": "issue:1675", + "right": "issue:5374", + "accept": false, + "reason": "Model conversion state-dict error and unexpected checkpoint_path argument are unrelated conversion/API issues." + }, + { + "left": "issue:176", + "right": "issue:4069", + "accept": false, + "reason": "Glide pipeline missing and unloading a textual inversion checkpoint are not the same bug." + }, + { + "left": "issue:1949", + "right": "issue:4303", + "accept": false, + "reason": "DreamBooth tutorial training errors and FlaxStableDiffusionPipeline loading SDXL are different subsystems and failures." + }, + { + "left": "issue:2153", + "right": "issue:477", + "accept": false, + "reason": "GPU float16 compatibility and a PNDM off-by-one scheduler error are unrelated." + }, + { + "left": "issue:2377", + "right": "issue:338", + "accept": false, + "reason": "Both ask for tests, but for different components (EMAModel vs LMS Discrete); not duplicates." + }, + { + "left": "issue:2377", + "right": "issue:339", + "accept": false, + "reason": "Same as above: different test targets, no shared underlying bug/change." + }, + { + "left": "issue:2856", + "right": "issue:6113", + "accept": false, + "reason": "Model conversion failure and how to use a control-model repo in diffusers are distinct user problems." + }, + { + "left": "issue:3112", + "right": "issue:4042", + "accept": false, + "reason": "Both touch ControlNet composition, but one requests multi-ControlNet inpainting and the other asks how to combine reference-only with inpainting and depth; related area, not the same change." + }, + { + "left": "issue:3565", + "right": "issue:8236", + "accept": false, + "reason": "OOM in text-to-image training and wrong LR scheduler step count on multi-GPU are different training issues." + }, + { + "left": "issue:4052", + "right": "issue:5405", + "accept": false, + "reason": "Missing from_single_file API and sdxl.from_single_file not overwriting weights 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": 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-50-3013", + "nodes": [ + "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:2661", + "issue:2662", + "issue:2769", + "issue:3064", + "issue:3116", + "issue:3296", + "issue:3428", + "issue:351", + "issue:3566", + "issue:3767", + "issue:4125", + "issue:4134", + "issue:4376", + "issue:4414", + "issue:460", + "issue:4880", + "issue:5372", + "issue:5761", + "issue:5798", + "issue:6068", + "issue:6090", + "issue:6091", + "issue:6157", + "issue:6288", + "issue:6463", + "issue:7428", + "issue:7619", + "issue:7802", + "issue:7872", + "issue:8589", + "issue:8708", + "issue:8837", + "issue:9092", + "issue:9551", + "issue:9895" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "988ab67530a5032173ad2bac14be7735e4c21350b3f59907b597d3bf5257357f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34295, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous Diffusers issues with only a couple of plausible duplicate pairs. The strongest duplicate is the checkpoint write-error pair (2661/2662); a second likely duplicate is the DreamBooth channel-mismatch pair (6090/7619).", + "confidence": 0.91, + "canonical_issue_reason": "No single cluster-wide canonical issue fits well because the items span many unrelated bugs and feature requests; among the clear duplicates, issue 2662 is the broader representative for the checkpoint write-error bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2662 is the best issue representative because it uses the broadest wording for the checkpoint save/write-error problem and is the cleanest anchor for deduping its pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4125", + "right": "issue:6288", + "accept": false, + "reason": "Both are LoRA-training questions, but one is about loss curves and the other about default learning rate; not the same bug/change." + }, + { + "left": "issue:6157", + "right": "issue:9092", + "accept": false, + "reason": "ControlNet/IP-Adapter behavior vs a missing model_index.json error are different problems." + }, + { + "left": "issue:6463", + "right": "issue:8708", + "accept": false, + "reason": "Unrelated topics: missing audio_diffusion pipeline vs SD3 dreambooth VAE shift_factor." + }, + { + "left": "issue:7428", + "right": "issue:7802", + "accept": false, + "reason": "Feature request for layer diffusion support is unrelated to an OLSS scheduler request." + }, + { + "left": "issue:8589", + "right": "issue:8837", + "accept": false, + "reason": "DreamBooth prior-preservation bug and SlicedAttnProcessor bug are different code paths." + }, + { + "left": "issue:2661", + "right": "issue:3296", + "accept": false, + "reason": "Both mention checkpointing, but 3296 is a DreamBooth text_encoder save/load issue, not the same write-error bug as 2661." + }, + { + "left": "issue:2662", + "right": "issue:3296", + "accept": false, + "reason": "Checkpoint write error vs DreamBooth text_encoder checkpoint save/load failure are distinct failures." + }, + { + "left": "issue:3428", + "right": "issue:3566", + "accept": false, + "reason": "Different pipelines and symptoms; this is not the same underlying bug." + }, + { + "left": "issue:4880", + "right": "issue:5798", + "accept": false, + "reason": "One is a ControlNet image-argument TypeError, the other is a callback keyword-argument API mismatch." + }, + { + "left": "issue:11945", + "right": "issue:9895", + "accept": false, + "reason": "Nightly PyTorch/CUDA floating-point exception vs FluxPipeline device mismatch are different runtime errors." + }, + { + "left": "issue:1109", + "right": "issue:460", + "accept": false, + "reason": "CPU core utilization and ONNX CUDA/CPU runtime selection are unrelated." + }, + { + "left": "issue:4414", + "right": "issue:5761", + "accept": false, + "reason": "Consistency-model sample request and consistency-decoder cost discussion are not the same issue." + }, + { + "left": "issue:11410", + "right": "issue:7872", + "accept": false, + "reason": "A specific attention __call__ unpacking ValueError is unrelated to a version-tag issue." + }, + { + "left": "issue:1541", + "right": "issue:3767", + "accept": false, + "reason": "DreamBooth model-type detection failure is unrelated to FrozenDict mutability." + }, + { + "left": "issue:11148", + "right": "issue:13279", + "accept": false, + "reason": "PEFT adapter state handling and AutoencoderRAE loading with older transformers are different bugs." + }, + { + "left": "issue:3116", + "right": "issue:6068", + "accept": false, + "reason": "KDPM2DiscreteScheduler image2image noise issue is not the same as SDXL DDIM sample correctness." + }, + { + "left": "issue:6090", + "right": "issue:7619", + "accept": true, + "reason": "Both report the same underlying channel-mismatch problem (8 channels expected, 4 provided) in DreamBooth/related diffusion code." + }, + { + "left": "issue:1195", + "right": "issue:1611", + "accept": false, + "reason": "fp16 memory-efficient attention and StableDiffusionMegaPipeline regressions are not the same failure." + }, + { + "left": "issue:1519", + "right": "issue:4134", + "accept": false, + "reason": "Apple MPS issues in both, but noisy batch outputs and ControlNet tensor-size mismatch are different bugs." + }, + { + "left": "issue:1323", + "right": "issue:1674", + "accept": false, + "reason": "Loading Flax models without dtype and DreamBooth scheduling/config loading are unrelated." + }, + { + "left": "issue:4376", + "right": "issue:5372", + "accept": false, + "reason": "Textual inversion crash in SDXL and safety_checker usage questions are different issues." + }, + { + "left": "issue:10767", + "right": "issue:9551", + "accept": false, + "reason": "Flux-related community pipeline topics, but not the same concrete bug or change." + }, + { + "left": "issue:1811", + "right": "issue:3064", + "accept": false, + "reason": "Weight-selection behavior in from_pretrained vs loading a safetensors LoRA are distinct problems." + }, + { + "left": "issue:2769", + "right": "issue:351", + "accept": false, + "reason": "Checkpoint conversion corruption and CUDA loading behavior are unrelated." + }, + { + "left": "issue:4414", + "right": "issue:6091", + "accept": false, + "reason": "Consistency-model sampling and consistency-decoder memory-size handling are different concerns." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the cluster is heterogeneous, and 2662 is a reasonable broader representative for the checkpoint write-error duplicate pair. The soft-edge verdicts are mostly conservative, and the accepted 6090/7619 pair is defensible from the titles as a DreamBooth channel-mismatch duplicate." + }, + "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": 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-50-3013", + "nodes": [ + "issue:1037", + "issue:10518", + "issue:1064", + "issue:10640", + "issue:11208", + "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:3537", + "issue:4014", + "issue:4297", + "issue:4478", + "issue:4534", + "issue:4593", + "issue:4932", + "issue:5008", + "issue:5043", + "issue:5079", + "issue:5414", + "issue:562", + "issue:5857", + "issue:5968", + "issue:6518", + "issue:6548", + "issue:6616", + "issue:6749", + "issue:7210", + "issue:7589", + "issue:7666", + "issue:7757", + "issue:7895", + "issue:7972", + "issue:8463", + "issue:8615", + "issue:8671", + "issue:8786", + "issue:8894", + "issue:984" + ], + "soft_pairs": [ + "issue:5414|issue:7895", + "issue:5857|issue:6548", + "issue:4478|issue:7972", + "issue:4593|issue:6749", + "issue:1037|issue:5043", + "issue:10518|issue:8671", + "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" + ], + "prepared_review_unit_hash": "96705845007fa804b8dbda05f86e590393b292c0ca264025814e6ccc07a552c7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33587, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not duplicates of one another; the cluster is a loose lexical-similarity bucket containing unrelated issues across different pipelines, schedulers, training scripts, and environment bugs. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:12195 is the strongest standalone report: it is concrete, version-specific, and clearly describes a reproducible runtime regression in AutoencoderKL with PyTorch 2.3.1.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5414", + "right": "issue:7895", + "accept": false, + "reason": "PEFT adapter weighting vs Flax attention are unrelated subsystems and failure modes." + }, + { + "left": "issue:5857", + "right": "issue:6548", + "accept": false, + "reason": "An LCM LoRA quality issue is unrelated to an img2img latent-vs-image RGBA bug." + }, + { + "left": "issue:4478", + "right": "issue:7972", + "accept": false, + "reason": "SDXL initialization dtype mismatch is not the same as LEDITS++ type mismatch." + }, + { + "left": "issue:4593", + "right": "issue:6749", + "accept": false, + "reason": "LoRA rank-loading error is unrelated to an InstantID reproduction issue." + }, + { + "left": "issue:1037", + "right": "issue:5043", + "accept": false, + "reason": "A community pipeline request is unrelated to a Wurstchen LoRA feature request." + }, + { + "left": "issue:10518", + "right": "issue:8671", + "accept": false, + "reason": "A broken SD3 Colab script is not the same as redundant code in train_dreambooth_lora_sd3.py." + }, + { + "left": "issue:10640", + "right": "issue:7210", + "accept": false, + "reason": "DataParallel on FluxInpaintPipeline is unrelated to accelerate.load_checkpoint_and_dispatch on SDXL." + }, + { + "left": "issue:12149", + "right": "issue:12195", + "accept": false, + "reason": "Source/package version mismatch is a different problem from the torch.library.custom_op regression." + }, + { + "left": "issue:1344", + "right": "issue:1755", + "accept": false, + "reason": "Multi-GPU attention support and a non-English generic issue are unrelated." + }, + { + "left": "issue:3537", + "right": "issue:5968", + "accept": false, + "reason": "A ControlNet conversion script request is unrelated to an ONNX video conversion script request." + }, + { + "left": "issue:5008", + "right": "issue:6616", + "accept": false, + "reason": "TryOnDiffusion implementation discussion is unrelated to adding classifier guidance." + }, + { + "left": "issue:7666", + "right": "issue:8786", + "accept": false, + "reason": "from_single_file support for a custom pipeline is unrelated to SD3 token-length behavior." + }, + { + "left": "issue:4014", + "right": "issue:4297", + "accept": false, + "reason": "General SDXL watermark artifacts and batched img2img fishnet artifacts are different concrete bugs." + }, + { + "left": "issue:11208", + "right": "issue:7589", + "accept": false, + "reason": "MultiControlNet support in SD3 inpainting is unrelated to GLIGEN layout-to-image failure." + }, + { + "left": "issue:11839", + "right": "issue:12995", + "accept": false, + "reason": "GGUF input-size loading failure is unrelated to a Cosmos-Predict2.5 pipeline usage question." + }, + { + "left": "issue:1755", + "right": "issue:1990", + "accept": false, + "reason": "A generic issue title is unrelated to a depth-to-image variation pipeline proposal." + }, + { + "left": "issue:2361", + "right": "issue:4534", + "accept": false, + "reason": "Checkpoint saving crash in a finetuning script is unrelated to SDXL validation on mps." + }, + { + "left": "issue:5079", + "right": "issue:8615", + "accept": false, + "reason": "LyCORIS loading support and SD3 fuse_lora support are different adapter/model features." + }, + { + "left": "issue:6518", + "right": "issue:8463", + "accept": false, + "reason": "LCM distillation NoneType error is unrelated to a tokenizer NoneType error in InstructP2P-SDXL." + }, + { + "left": "issue:1742", + "right": "issue:1974", + "accept": false, + "reason": "Inference speed variability for repeated prompts is unrelated to Euler scheduler generator-list handling." + }, + { + "left": "issue:3222", + "right": "issue:4932", + "accept": false, + "reason": "Missing custom diffusion weights after training is unrelated to Dreambooth not returning pytorch_model.bin." + }, + { + "left": "issue:7757", + "right": "issue:8894", + "accept": false, + "reason": "ControlNet SDXL multi-GPU OOM is unrelated to a train_cm_ct_unconditional script error." + }, + { + "left": "issue:1064", + "right": "issue:562", + "accept": false, + "reason": "LMSDiscreteScheduler.add_noise error and StableDiffusionInpaintPipeline/LMS incompatibility are related in theme but not clearly the same concrete bug." + }, + { + "left": "issue:2578", + "right": "issue:984", + "accept": false, + "reason": "Editable install failure is unrelated to an F.interpolate large-batch interpolation 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": 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-50-3013", + "nodes": [ + "issue:10290", + "issue:10737", + "issue:10953", + "issue:11497", + "issue:1161", + "issue:1214", + "issue:12547", + "issue:1314", + "issue:1875", + "issue:1922", + "issue:2192", + "issue:2331", + "issue:3279", + "issue:3383", + "issue:3403", + "issue:3689", + "issue:3717", + "issue:3767", + "issue:381", + "issue:3876", + "issue:4210", + "issue:435", + "issue:4665", + "issue:4701", + "issue:4876", + "issue:4957", + "issue:4969", + "issue:4985", + "issue:5064", + "issue:5124", + "issue:514", + "issue:5162", + "issue:5284", + "issue:5465", + "issue:5558", + "issue:5646", + "issue:6112", + "issue:6149", + "issue:6164", + "issue:6277", + "issue:6598", + "issue:7177", + "issue:776", + "issue:7939", + "issue:8228", + "issue:9089", + "issue:9611" + ], + "soft_pairs": [ + "issue:381|issue:435", + "issue:4957|issue:5064", + "issue:3279|issue:5124", + "issue:5465|issue:9611", + "issue:10737|issue:9089", + "issue:1161|issue:5162", + "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" + ], + "prepared_review_unit_hash": "4082e174959371c7b94cbb5ff009b06c23791ece841ca2d014b229f86af8f44a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is not a duplicate set; it\u2019s a bag of unrelated issues that only share superficial vocabulary around pipelines, training, Flux, ControlNet, and loading. I would reject all soft-edge merges and avoid selecting a canonical issue/PR for the 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:381", + "right": "issue:435", + "accept": false, + "reason": "Different bugs: a notebook section error vs a textual inversion AutoencoderKLOutput attribute error." + }, + { + "left": "issue:4957", + "right": "issue:5064", + "accept": false, + "reason": "Both mention space issues, but one is disk space during ControlNet+inpainting-SDXL and the other is out-of-space using a refiner for inference; different workflows and failure modes." + }, + { + "left": "issue:3279", + "right": "issue:5124", + "accept": false, + "reason": "Checkpoint resume failure in Dreambooth LoRA is unrelated to a question about finetuning a .safetensor checkpoint." + }, + { + "left": "issue:5465", + "right": "issue:9611", + "accept": false, + "reason": "Different pipelines and symptoms: DiffEdit inpaint_strength limitation vs Flux image batching error." + }, + { + "left": "issue:10737", + "right": "issue:9089", + "accept": false, + "reason": "One is missing image_encoder in FluxPipeline.encode_image; the other is FluxPipeline not found at import time." + }, + { + "left": "issue:1161", + "right": "issue:5162", + "accept": false, + "reason": "Model conversion from Flax to PyTorch is unrelated to a script for converting a folder checkpoint to safetensors." + }, + { + "left": "issue:1314", + "right": "issue:4701", + "accept": false, + "reason": "Both are CUDA/precision-related, but one is a Windows xformers backward error and the other is AutoencoderKL decoder differentiation at float32." + }, + { + "left": "issue:2331", + "right": "issue:5284", + "accept": false, + "reason": "A general ControlNet pipeline request vs ControlNet-LLLite support; same broad area, but not the same change or bug." + }, + { + "left": "issue:3689", + "right": "issue:4876", + "accept": false, + "reason": "LoRA unload behavior is unrelated to making LoRA std configurable." + }, + { + "left": "issue:3876", + "right": "issue:5558", + "accept": false, + "reason": "Both involve ControlNet inpainting, but one is a demo error and the other is artifacts with multiple ControlNets; not the same concrete defect." + }, + { + "left": "issue:4969", + "right": "issue:514", + "accept": false, + "reason": "Different import/error contexts: missing CrossAttention vs enable_attention_slicing() throwing an error." + }, + { + "left": "issue:4969", + "right": "issue:7177", + "accept": false, + "reason": "Missing CrossAttention import is unrelated to StableCascadeDecoderPipeline.from_pretrained failure." + }, + { + "left": "issue:11497", + "right": "issue:12547", + "accept": false, + "reason": "Unrelated training-script issues: cache depending on irrelevant args vs missing required --instance_prompt argument." + }, + { + "left": "issue:5646", + "right": "issue:6598", + "accept": false, + "reason": "Scheduler stability on a specific model is unrelated to img2img result differences vs A1111." + }, + { + "left": "issue:1214", + "right": "issue:3767", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to FrozenDict mutability semantics." + }, + { + "left": "issue:1922", + "right": "issue:4210", + "accept": false, + "reason": "Notebook undefined function bug is unrelated to a question about attention_mask in UNet2DConditionModel.forward." + }, + { + "left": "issue:2192", + "right": "issue:6277", + "accept": false, + "reason": "Missing dataset_name/caption_column arguments in one script is unrelated to broken gradients in a LoRA training example." + }, + { + "left": "issue:3403", + "right": "issue:776", + "accept": false, + "reason": "TorchDynamo pipeline loading issues are not the same as batch_size>1 img2img breakage." + }, + { + "left": "issue:6112", + "right": "issue:6149", + "accept": false, + "reason": "Noisy SDXL-turbo output is unrelated to an ip-adapter-full-face_sd15 load error." + }, + { + "left": "issue:7939", + "right": "issue:8228", + "accept": false, + "reason": "Both are loading-related, but one is loading a model from the same folder and the other is from_single_file failing to load CLIPTextModel; different code paths." + }, + { + "left": "issue:1875", + "right": "issue:6164", + "accept": false, + "reason": "fp16 training type mismatch in Imagic is unrelated to latent output handling in StableDiffusionPipeline." + }, + { + "left": "issue:3717", + "right": "issue:4985", + "accept": false, + "reason": "GPU OOM on multi-GPU hardware is unrelated to SDXL InstructPix2Pix training OOM; different scenario and likely different scaling cause." + }, + { + "left": "issue:3383", + "right": "issue:4665", + "accept": false, + "reason": "Partial pipeline download handling is unrelated to Windows use_safetensors behavior with alternate .bin files." + }, + { + "left": "issue:10290", + "right": "issue:10953", + "accept": false, + "reason": "Torch.compile incompatibility for Flux+ControlNet is unrelated to a code-style/performance suggestion to use permute instead of transpose." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10057", + "issue:10165", + "issue:10239", + "issue:10767", + "issue:10860", + "issue:1111", + "issue:11247", + "issue:11592", + "issue:11864", + "issue:12108", + "issue:12157", + "issue:12221", + "issue:12338", + "issue:1574", + "issue:1790", + "issue:2264", + "issue:2402", + "issue:3481", + "issue:3651", + "issue:3655", + "issue:3683", + "issue:4080", + "issue:4366", + "issue:4506", + "issue:5225", + "issue:5284", + "issue:5395", + "issue:5463", + "issue:5489", + "issue:6091", + "issue:6335", + "issue:6398", + "issue:6452", + "issue:6530", + "issue:660", + "issue:7009", + "issue:7191", + "issue:7228", + "issue:7640", + "issue:7781", + "issue:7881", + "issue:8464", + "issue:8879", + "issue:8900", + "issue:9370", + "issue:953", + "issue:9810" + ], + "soft_pairs": [ + "issue:10767|issue:12221", + "issue:10860|issue:9810", + "issue:2402|issue:660", + "issue:4080|issue:6452", + "issue:7640|issue:8879", + "issue:11592|issue:8900", + "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" + ], + "prepared_review_unit_hash": "4853dfb235d9bf16ee3e99343ac6149984f6e2fa23a6153ddc95050ce37e2fb8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33322, + "estimated_input_tokens": 8331, + "estimated_eval_tokens": 16918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy: the items share broad Diffusers/Flux/ControlNet/LoRA themes, but they describe different code paths, platforms, and failure modes rather than the same underlying bug or change.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10057 is the most concrete, narrowly scoped bug report in the set (a specific FluxTransformer2DModel.from_single_file token problem) and is a reasonable cluster head, though the cluster itself is not truly coherent.", + "canonical_pr_reason": null, + "best_issue_reason": "10057 is the clearest actionable issue: it names a specific model class and method, implies a reproducible loading path, and is more bug-like than the feature requests or broad compatibility reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10767", + "right": "issue:12221", + "accept": false, + "reason": "Both mention diffusers integrations, but one is a FlashVideo/diffusers topic and the other is a request to support DiffSynth Controlnet; different concrete work." + }, + { + "left": "issue:10860", + "right": "issue:9810", + "accept": false, + "reason": "One is a ComfyUI compatibility failure for trained LoRA weights, the other is a module_to_save() support request; related area, not the same bug." + }, + { + "left": "issue:2402", + "right": "issue:660", + "accept": false, + "reason": "These are different backend/platform problems: CUDA-not-enabled vs MPS fp16 behavior on M1." + }, + { + "left": "issue:4080", + "right": "issue:6452", + "accept": false, + "reason": "Both concern inpainting, but one asks for a new SDXL inpainting pipeline while the other asks for a masked_image_latents input on ControlNet inpaint; not the same change." + }, + { + "left": "issue:7640", + "right": "issue:8879", + "accept": false, + "reason": "Both involve StableDiffusionXL, but the failures are different: from_single_file dimension handling vs torch.compile/cudagraph issues." + }, + { + "left": "issue:11592", + "right": "issue:8900", + "accept": false, + "reason": "Unrelated topics: a FluxLoraLoaderMixin regression versus a question about loading an SDXL refiner checkpoint." + }, + { + "left": "issue:5395", + "right": "issue:5489", + "accept": false, + "reason": "One is a specific bug combining Civitai LoRAs with PEFT; the other is a broad PEFT x diffusers integration umbrella issue." + }, + { + "left": "issue:12108", + "right": "issue:12157", + "accept": false, + "reason": "Different problem types: inference breakage with flow-matching schedulers vs a training-time quantization-config error." + }, + { + "left": "issue:1574", + "right": "issue:1790", + "accept": false, + "reason": "A Dreambooth GPU failure is not the same as a general question about how training works." + }, + { + "left": "issue:4506", + "right": "issue:5463", + "accept": false, + "reason": "Both are variable-scope bugs, but they affect different variables, code paths, and symptoms; not the same defect." + }, + { + "left": "issue:6091", + "right": "issue:6398", + "accept": false, + "reason": "One is a specific Consistency Decoder memory issue tied to size arguments; the other is an unspecific memory-leak report." + }, + { + "left": "issue:6335", + "right": "issue:7881", + "accept": false, + "reason": "Different pipeline problems: output-size handling in ControlNet Img2Img vs from_single_file loading for lpw_stable_diffusion." + }, + { + "left": "issue:10239", + "right": "issue:7009", + "accept": false, + "reason": "Both are video-related, but one is about sequential CPU offload support and the other about poor results from a specific TextToVideoSD model load." + }, + { + "left": "issue:11864", + "right": "issue:12338", + "accept": false, + "reason": "Same AutoencoderDC area, but different bugs: torch.compile fullgraph name resolution vs VAE slicing when decoding multiple images." + }, + { + "left": "issue:3651", + "right": "issue:3683", + "accept": false, + "reason": "Multi-GPU Dreambooth training and Multi-ControlNet save_pretrained() are unrelated changes." + }, + { + "left": "issue:7228", + "right": "issue:7781", + "accept": false, + "reason": "A traced-model dtype attribute error and a PIL serialization error are distinct failure modes." + }, + { + "left": "issue:10057", + "right": "issue:11247", + "accept": false, + "reason": "Both mention FluxTransformer2DModel, but one is a from_single_file token issue and the other is multi-GPU/controlnet distribution; different code paths." + }, + { + "left": "issue:5225", + "right": "issue:9370", + "accept": false, + "reason": "A VRAM/memory limitation is not the same as a missing pooled_projection argument in a forward method." + }, + { + "left": "issue:1111", + "right": "issue:953", + "accept": false, + "reason": "These are unrelated: a checkpoint dataset constraint versus guidance on generating smaller images." + }, + { + "left": "issue:5284", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet-LLLite support is a feature request; SDXL K-diffusion with ControlNet is a separate pipeline compatibility issue." + }, + { + "left": "issue:2264", + "right": "issue:3481", + "accept": false, + "reason": "Both involve seeding/determinism, but one is an exception when setting the seed and the other is expected image variation across inference steps." + }, + { + "left": "issue:3655", + "right": "issue:7191", + "accept": false, + "reason": "Both are import-related, but the titles do not indicate the same module, backend, or failure mechanism." + }, + { + "left": "issue:4080", + "right": "issue:4366", + "accept": false, + "reason": "An SDXL inpainting pipeline request is not the same as fine-tuning the SDXL text-to-image script for a full U-Net." + }, + { + "left": "issue:10165", + "right": "issue:8464", + "accept": false, + "reason": "Both mention LoRA/seed behavior, but one is about preserving seeds when changing LoRA scale and the other is a SEGA CPU-offload seed 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": 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-50-3013", + "nodes": [ + "issue:10226", + "issue:10381", + "issue:10453", + "issue:10743", + "issue:10925", + "issue:1101", + "issue:12321", + "issue:12437", + "issue:12540", + "issue:13015", + "issue:13298", + "issue:1647", + "issue:2203", + "issue:2437", + "issue:2669", + "issue:3455", + "issue:3658", + "issue:4139", + "issue:4149", + "issue:4353", + "issue:4406", + "issue:4410", + "issue:4530", + "issue:4991", + "issue:5004", + "issue:5070", + "issue:5271", + "issue:5405", + "issue:5509", + "issue:5685", + "issue:5783", + "issue:6016", + "issue:6037", + "issue:6295", + "issue:6496", + "issue:6518", + "issue:6713", + "issue:7138", + "issue:7147", + "issue:7450", + "issue:7600", + "issue:761", + "issue:7798", + "issue:7856", + "issue:8612", + "issue:8918", + "issue:9450" + ], + "soft_pairs": [ + "issue:10226|issue:7138", + "issue:4530|issue:6295", + "issue:10453|issue:12540", + "issue:13015|issue:13298", + "issue:12321|issue:12437", + "issue:1647|issue:3455", + "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" + ], + "prepared_review_unit_hash": "e89debd9fa4095ea1d61f4d94d94969c5730d2f0323742b90b90a75d5e451d4f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33277, + "estimated_input_tokens": 8320, + "estimated_eval_tokens": 16896 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is largely heterogeneous: most items are unrelated bugs, feature requests, or support questions that only share generic words like \u201ctensor,\u201d \u201csupport,\u201d or \u201cerror.\u201d None of the soft pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.96, + "canonical_issue_reason": "No safe canonical issue stands out. The issues span multiple unrelated subsystems and model families (Flux/LoRA, Hunyuan, OmniSVG, schedulers, DreamBooth, conversion scripts, etc.), so selecting one as the canonical duplicate target would be arbitrary.", + "canonical_pr_reason": "No pull requests are present in this cluster.", + "best_issue_reason": "No single issue is a good global representative; the set is too mixed to treat one issue as the cluster's true center without over-merging unrelated reports.", + "best_pr_reason": "No pull requests are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:10226", + "right": "issue:7138", + "accept": false, + "reason": "Both mention shape mismatch, but one is DreamBooth Flux+LoRA and the other is SDXL UNet structure mismatch; different models and likely different root causes." + }, + { + "left": "issue:4530", + "right": "issue:6295", + "accept": false, + "reason": "Both concern image quality/artifacts, but one is refiner color artifacts and the other is a specific DPM++ SDE/Karras artifact issue; not the same bug." + }, + { + "left": "issue:10453", + "right": "issue:12540", + "accept": false, + "reason": "Hunyuan Video batch-size limitation is unrelated to Sana timestep embedding incompatibility." + }, + { + "left": "issue:13015", + "right": "issue:13298", + "accept": false, + "reason": "Both are device mismatch errors, but one is a QwenImageEditPlus NPU issue and the other is a CUDA generator-path bug; too different to treat as duplicates." + }, + { + "left": "issue:12321", + "right": "issue:12437", + "accept": false, + "reason": "These are separate model-support requests for HunyuanImage-2.1 and OmniSVG." + }, + { + "left": "issue:1647", + "right": "issue:3455", + "accept": false, + "reason": "A solved question about color correction .pt is unrelated to using pretrained instruct-pix2pix during training." + }, + { + "left": "issue:2203", + "right": "issue:761", + "accept": false, + "reason": "Home-directory download behavior is unrelated to an 8-bit Adam training failure." + }, + { + "left": "issue:2437", + "right": "issue:6037", + "accept": false, + "reason": "A T2I-Adapter pipeline request is unrelated to the InstaFlow new-pipeline feature." + }, + { + "left": "issue:4139", + "right": "issue:8612", + "accept": false, + "reason": "Both touch precision, but custom diffusion attention processor casting and PixArt-sigma mixed-precision inference are different code paths." + }, + { + "left": "issue:4149", + "right": "issue:5509", + "accept": false, + "reason": "Tensor-dimension mismatch in SemanticStableDiffusion batching is not the same as image batch size matching prompt batch size." + }, + { + "left": "issue:4991", + "right": "issue:5405", + "accept": false, + "reason": "Missing accelerator.prepare on the dataloader is unrelated to sdxl.from_single_file not overwriting weights." + }, + { + "left": "issue:5004", + "right": "issue:7600", + "accept": false, + "reason": "Checkpoint resume failure in SDXL dreambooth is unrelated to not applying accelerator.accumulate on text_encoder." + }, + { + "left": "issue:5271", + "right": "issue:6496", + "accept": false, + "reason": "Different learning rates for text encoders vs UNet and multiple people/faces DreamBooth examples are unrelated." + }, + { + "left": "issue:5783", + "right": "issue:8918", + "accept": false, + "reason": "EMA not working in SDXL training is unrelated to train_dreambooth_sd3.py being broken." + }, + { + "left": "issue:7147", + "right": "issue:7856", + "accept": false, + "reason": "Importing StableCascadeDecoderPipeline and multi-vector token vocabulary collision are unrelated." + }, + { + "left": "issue:10381", + "right": "issue:9450", + "accept": false, + "reason": "Both involve Flux/device issues, but one is inference with quantization+LoRA and the other is a multi-GPU transformer placement bug; not confidently the same bug." + }, + { + "left": "issue:4410", + "right": "issue:6016", + "accept": false, + "reason": "Shape mismatch when loading a model and a torch.Size() issue in conversion are different failures in different workflows." + }, + { + "left": "issue:4353", + "right": "issue:7798", + "accept": false, + "reason": "Generic image quality complaint for SDXL refiner is not the same as a PixArtAlphaPipeline bug." + }, + { + "left": "issue:4406", + "right": "issue:6713", + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is loading a safetensor directly and the other is the SD conversion script; may share symptom, not clearly the same underlying issue." + }, + { + "left": "issue:5685", + "right": "issue:7450", + "accept": false, + "reason": "Potential scheduler issues are not the same as AutoencoderKL multithreading problems." + }, + { + "left": "issue:10743", + "right": "issue:10925", + "accept": false, + "reason": "Zero-3 support for FLUX training and Dreambooth finetuning FLUX dev CLIPTextModel are related to FLUX training generally, but they are distinct feature/issues rather than one duplicate." + }, + { + "left": "issue:2669", + "right": "issue:6518", + "accept": false, + "reason": "A NoneType .replace AttributeError and a NoneType // int error are different exceptions with different failure points." + }, + { + "left": "issue:1101", + "right": "issue:5070", + "accept": false, + "reason": "Adding a DPM-Solver scheduler is unrelated to ControlNet example flags only_mid_control=true and sd_locked=false." + }, + { + "left": "issue:3658", + "right": "issue:7600", + "accept": false, + "reason": "Additional noise latents in DreamBooth upsampler training and missing accelerator.accumulate on text_encoder are different training 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": 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-50-3013", + "nodes": [ + "issue:1033", + "issue:11000", + "issue:11432", + "issue:11642", + "issue:1284", + "issue:1992", + "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:4975", + "issue:5062", + "issue:5079", + "issue:5485", + "issue:5798", + "issue:5969", + "issue:6176", + "issue:6454", + "issue:6790", + "issue:696", + "issue:7454", + "issue:7690", + "issue:7798", + "issue:7801", + "issue:8535", + "issue:8557", + "issue:9027", + "issue:9044", + "issue:9063", + "issue:9084", + "issue:9090", + "issue:9170", + "issue:9181", + "issue:9204", + "issue:9332", + "issue:9350", + "issue:9362", + "issue:9484", + "issue:9505", + "issue:9665" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "e011d7d3921bdee5f7d8aa0cc14279181429f61b1fc3d1d9198ec1825c8c0a5c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33761, + "estimated_input_tokens": 8441, + "estimated_eval_tokens": 17138 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are not a single duplicate cluster; they span unrelated bugs and feature requests across schedulers, LoRA loading, training, pipelines, and docs. The soft pairs only share broad Diffusers vocabulary, not the same concrete failure or code path.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4975", + "right": "issue:9090", + "accept": false, + "reason": "Different problems: LoRA loading inefficiency vs repeated inference timesteps in PNDM. No shared code-path bug." + }, + { + "left": "issue:5079", + "right": "issue:7454", + "accept": false, + "reason": "`load_lora_weights` support for LyCORIS is a feature request; generic LORA support is broader and not the same underlying issue." + }, + { + "left": "issue:6176", + "right": "issue:9505", + "accept": false, + "reason": "LoRA loading after dreambooth training and upscale KeyError are unrelated failures in different workflows." + }, + { + "left": "issue:6454", + "right": "issue:7801", + "accept": false, + "reason": "FP16 gradient unscale error during training is unrelated to mixed_precision not producing fp16 weights." + }, + { + "left": "issue:6790", + "right": "issue:9204", + "accept": false, + "reason": "LCM training state_dict mismatch and FLUX DreamBooth training are different model/training issues." + }, + { + "left": "issue:7798", + "right": "issue:9084", + "accept": false, + "reason": "PixArtAlphaPipeline bug and SD3 inpaint scheduler ordering bug are different pipelines and different failure modes." + }, + { + "left": "issue:11642", + "right": "issue:9044", + "accept": false, + "reason": "Prompt embed scaling having no effect and tokenizer/file loading errors are unrelated bugs." + }, + { + "left": "issue:9484", + "right": "issue:9665", + "accept": false, + "reason": "Multi-GPU DreamBooth setup request and DeepSpeed affecting accelerator.prepare() are not the same concrete bug." + }, + { + "left": "issue:9350", + "right": "issue:9362", + "accept": false, + "reason": "3D txt_ids deprecation warning and index-out-of-bounds error are different issues with no clear shared root cause." + }, + { + "left": "issue:1033", + "right": "issue:444", + "accept": false, + "reason": "Both mention index errors, but one is Stable Diffusion Mega and the other is scheduler timestep indexing; not enough evidence of the same bug." + }, + { + "left": "issue:11000", + "right": "issue:9027", + "accept": false, + "reason": "Missing shift argument in WanImageToVideoPipeline and argument-name consistency are unrelated API problems." + }, + { + "left": "issue:1992", + "right": "issue:5062", + "accept": false, + "reason": "JAX attention refactoring discussion and a typo in attention are not the same underlying change." + }, + { + "left": "issue:2202", + "right": "issue:2784", + "accept": false, + "reason": "OpenVINO pipeline support and Dreambooth support for text2video are separate feature requests." + }, + { + "left": "issue:8535", + "right": "issue:8557", + "accept": false, + "reason": "xformers memory-efficient attention support in SD3 and SD3 token-limit training are unrelated SD3 topics." + }, + { + "left": "issue:4664", + "right": "issue:4885", + "accept": false, + "reason": "SDXL LoRA loading inconsistency in one pipeline and ControlNet img2img LoRA loading failure are different code paths." + }, + { + "left": "issue:1284", + "right": "issue:5485", + "accept": false, + "reason": "Batch-size slowdown and ControlNet batch inference slowness are both performance complaints, but not the same bug." + }, + { + "left": "issue:11432", + "right": "issue:9332", + "accept": false, + "reason": "`torch_dtype='auto'` from_pretrained behavior and loading identical weights are different model-loading issues." + }, + { + "left": "issue:7690", + "right": "issue:9063", + "accept": false, + "reason": "Tokenizer loading failure for SDXL base and Flux tokenizer instantiation error are unrelated loader bugs." + }, + { + "left": "issue:3116", + "right": "issue:3381", + "accept": false, + "reason": "KDPM2DiscreteScheduler latent noise in img2img and inpaint batch discoloration are distinct scheduler/pipeline bugs." + }, + { + "left": "issue:2276", + "right": "issue:696", + "accept": false, + "reason": "xformers install trouble in a notebook and DreamBooth CUDA OOM are different problems." + }, + { + "left": "issue:5798", + "right": "issue:9181", + "accept": false, + "reason": "Unexpected callback keyword in ControlNet pipeline and strange noise dot in ControlNet are not the same failure." + }, + { + "left": "issue:3951", + "right": "issue:5969", + "accept": false, + "reason": "UniDiffuser NaNs and DDIM NaNs with ZSNR patch have different triggers and code paths." + }, + { + "left": "issue:4171", + "right": "issue:4453", + "accept": false, + "reason": "Documentation/rendering issue on the home page and a LoRA conversion question are unrelated." + }, + { + "left": "issue:4788", + "right": "issue:9170", + "accept": false, + "reason": "Both are VRAM concerns around SDXL/ControlNet, but one is inpaint OOM and the other is a general memory requirement question; 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": 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-50-3013", + "nodes": [ + "issue:10016", + "issue:10287", + "issue:10518", + "issue:10917", + "issue:11041", + "issue:11093", + "issue:11387", + "issue:11497", + "issue:11907", + "issue:12096", + "issue:12338", + "issue:12423", + "issue:12895", + "issue:12905", + "issue:1566", + "issue:170", + "issue:1842", + "issue:2083", + "issue:2091", + "issue:2495", + "issue:3116", + "issue:3420", + "issue:4497", + "issue:4676", + "issue:4880", + "issue:5226", + "issue:5379", + "issue:5399", + "issue:5480", + "issue:5515", + "issue:6054", + "issue:6167", + "issue:6548", + "issue:6616", + "issue:6700", + "issue:7220", + "issue:759", + "issue:7770", + "issue:7836", + "issue:8543", + "issue:8887", + "issue:9279", + "issue:9291", + "issue:9448", + "issue:9548", + "issue:9680", + "issue:9731", + "issue:9895" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "9dce3e58a5b698e72d318d7c587e2e34eb2feefbe1a28378d39dbf438cff5249", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34236, + "estimated_input_tokens": 8559, + "estimated_eval_tokens": 17374 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are not one duplicate cluster; they span many unrelated issues across different pipelines, schedulers, training scripts, and docs. The soft links are mostly broad semantic similarity rather than the same underlying bug.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue: the proposed pairs do not share one concrete bug or change, so there is no clear duplicate hub for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10016 is the clearest concrete reproducer among the set, but only as a standalone report; it is not a valid global representative for these unrelated items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5480", + "right": "issue:6616", + "accept": false, + "reason": "Both are feature requests, but EDM implementation and classifier-guidance are different changes and not the same underlying task." + }, + { + "left": "issue:7836", + "right": "issue:8543", + "accept": false, + "reason": "Both mention training examples, but one is CLIP overfitting and the other is SD3 dreambooth checkpointing; different bugs." + }, + { + "left": "issue:5399", + "right": "issue:7770", + "accept": false, + "reason": "Both are model loading/runtime errors, but the dtype mismatch in inpainting and the LoRA tensor shape mismatch are distinct failure modes." + }, + { + "left": "issue:10287", + "right": "issue:9548", + "accept": false, + "reason": "A docs example issue and a Flux dreambooth LoRA training problem are unrelated." + }, + { + "left": "issue:12895", + "right": "issue:9448", + "accept": false, + "reason": "Both affect Stable Diffusion 3 related paths, but one is a num_images_per_prompt NoneType crash and the other is an IP-Adapter tuple shape error." + }, + { + "left": "issue:1566", + "right": "issue:2091", + "accept": false, + "reason": "Checkpoint/save crash in Dreambooth is different from resuming multi-GPU training from a checkpoint." + }, + { + "left": "issue:11093", + "right": "issue:9680", + "accept": false, + "reason": "TorchAO example breakage and SDXL unconditional generation are unrelated." + }, + { + "left": "issue:170", + "right": "issue:2083", + "accept": false, + "reason": "Both involve eta, but one is a scheduler API keyword error and the other is multi-generator behavior with DDIMScheduler eta > 0." + }, + { + "left": "issue:4497", + "right": "issue:759", + "accept": false, + "reason": "Dynamic thresholding and textual inversion saving are unrelated topics." + }, + { + "left": "issue:9279", + "right": "issue:9291", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile is a different problem from FLUX LoRA key compatibility." + }, + { + "left": "issue:11497", + "right": "issue:9731", + "accept": false, + "reason": "A preprocessing cache bug and a user training how-to question are not the same issue." + }, + { + "left": "issue:5226", + "right": "issue:6167", + "accept": false, + "reason": "One is load_lora_weights on SDXL Adapter, the other is adding load_ip_adapter; same area, different change requests." + }, + { + "left": "issue:11387", + "right": "issue:12338", + "accept": false, + "reason": "Both concern AutoencoderDC, but one is a normalization-class mismatch and the other is a slicing/decoding bug." + }, + { + "left": "issue:2495", + "right": "issue:3116", + "accept": false, + "reason": "MPS black-image output and KDPM2DiscreteScheduler latent noise are different pipeline/scheduler bugs." + }, + { + "left": "issue:5379", + "right": "issue:5515", + "accept": false, + "reason": "A community speech-to-image pipeline and an LCM scheduler initialization failure are unrelated." + }, + { + "left": "issue:3420", + "right": "issue:7220", + "accept": false, + "reason": "Both touch StableDiffusionControlNetInpaintPipeline, but one is a pipeline compatibility failure and the other is an unload_ip_adapter error." + }, + { + "left": "issue:1842", + "right": "issue:6054", + "accept": false, + "reason": "Unexpected eta kwarg and a torch.from_numpy misuse in set_timesteps are different scheduler issues." + }, + { + "left": "issue:4880", + "right": "issue:6700", + "accept": false, + "reason": "ControlNet image-input validation and temb passed to attention processors are unrelated." + }, + { + "left": "issue:11907", + "right": "issue:12096", + "accept": false, + "reason": "Flux scheduler incompatibility and WanVACE group offloading are different code paths." + }, + { + "left": "issue:11041", + "right": "issue:9895", + "accept": false, + "reason": "apply_group_offloading failure in WAN2.1 and Flux device-placement mismatch are not the same bug." + }, + { + "left": "issue:10016", + "right": "issue:12423", + "accept": false, + "reason": "Both involve from_single_file loading, but SD3.5M shape mismatch and QwenImageTransformer2DModel loading are different model-specific problems." + }, + { + "left": "issue:4676", + "right": "issue:6548", + "accept": false, + "reason": "TAESD latent brightness and RGBA img2img latent handling are distinct issues." + }, + { + "left": "issue:10518", + "right": "issue:12905", + "accept": false, + "reason": "An SD3 LoRA training script bug and Z_Image guidance scale implementation are unrelated." + }, + { + "left": "issue:10917", + "right": "issue:8887", + "accept": false, + "reason": "Lumina-2.0 script correctness and SD3 wrong VAE encode in training are different scripts 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": 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-50-3013", + "nodes": [ + "issue:10223", + "issue:10281", + "issue:11127", + "issue:11214", + "issue:11387", + "issue:11859", + "issue:1444", + "issue:1543", + "issue:1695", + "issue:1979", + "issue:2083", + "issue:2163", + "issue:2265", + 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"issue:3249|issue:5028", + "issue:10223|issue:11387", + "issue:1543|issue:2265", + "issue:4122|issue:5687", + "issue:11127|issue:9996", + "issue:4331|issue:5014", + "issue:10281|issue:11859", + "issue:1695|issue:3177", + "issue:5026|issue:5875" + ], + "prepared_review_unit_hash": "2686fb1dd829827b7be4cd5094aae7a834ac91e1c0ea9c100c649be27771bb1c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33632, + "estimated_input_tokens": 8408, + "estimated_eval_tokens": 17072 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are largely unrelated diffusers issues and feature requests; none of the soft pairs look like true duplicates. If forced to pick a canonical issue, I\u2019d anchor on the most concrete runtime bug report rather than broad feature asks.", + "confidence": 0.44, + "canonical_issue_reason": "issue:11214 is the most concrete, reproducible bug report in the set, with a clear traceback and a specific failing code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11214 is the strongest standalone issue to keep as a representative canonical bug: explicit exception, specific subsystem, and likely single-code-path fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11214", + "right": "issue:9027", + "accept": false, + "reason": "Different scope: a specific UVit runtime TypeError versus a broad consistency-in-argument-names request." + }, + { + "left": "issue:1444", + "right": "issue:5084", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and different pipelines/models, so they are not the same bug." + }, + { + "left": "issue:1979", + "right": "issue:4000", + "accept": false, + "reason": "Both concern conversion to diffusers, but one is a generic conversion failure and the other is a specific SD 2.0 ckpt conversion case." + }, + { + "left": "issue:2083", + "right": "issue:579", + "accept": false, + "reason": "Completely different problems: DDIM generator/eta behavior versus missing config.json in textual inversion." + }, + { + "left": "issue:2163", + "right": "issue:5829", + "accept": false, + "reason": "Different failures in different scripts: dtype mismatch during training versus a missing model config argument." + }, + { + "left": "issue:3583", + "right": "issue:6706", + "accept": false, + "reason": "Unrelated feature requests; they do not describe the same underlying change." + }, + { + "left": "issue:3730", + "right": "issue:4148", + "accept": false, + "reason": "Both touch inpainting, but one is a timestep blending bug and the other is a model config/load error." + }, + { + "left": "issue:4303", + "right": "issue:6921", + "accept": false, + "reason": "One is a Flax SDXL load crash, the other is a weight-distribution mismatch; different root causes." + }, + { + "left": "issue:4554", + "right": "issue:6906", + "accept": false, + "reason": "Kandinsky OOM and DreamBooth LoRA breakage are unrelated bugs in different examples." + }, + { + "left": "issue:4648", + "right": "issue:7456", + "accept": false, + "reason": "A missing config.json error is unrelated to a missing raise statement in code." + }, + { + "left": "issue:5595", + "right": "issue:6731", + "accept": false, + "reason": "Different errors and code paths: image size validation versus an unhandled pipeline class." + }, + { + "left": "issue:5603", + "right": "issue:6142", + "accept": false, + "reason": "ImportError for a utility symbol versus a NameError in training startup code; not the same defect." + }, + { + "left": "issue:6535", + "right": "issue:9485", + "accept": false, + "reason": "Both mention schedulers, but one is about changing the scheduler in SVD and the other is about moving scheduler work onto GPU." + }, + { + "left": "issue:6727", + "right": "issue:9248", + "accept": false, + "reason": "A tensor dtype mismatch bug is unrelated to a pip install/upgrade request." + }, + { + "left": "issue:9134", + "right": "issue:9677", + "accept": false, + "reason": "Both are Flux-related, but one is a LoRA training issue and the other is a precision setting request for text encoders." + }, + { + "left": "issue:3249", + "right": "issue:5028", + "accept": false, + "reason": "Both are unexpected-keyword-arg errors, but they affect different blocks, different arguments, and different pipelines." + }, + { + "left": "issue:10223", + "right": "issue:11387", + "accept": false, + "reason": "A LoRA inference question is unrelated to the AutoencoderDC RMSNorm implementation bug." + }, + { + "left": "issue:1543", + "right": "issue:2265", + "accept": false, + "reason": "These are unrelated: fp16 revision handling in textual inversion versus ONNXRuntime incompatibility in an example script." + }, + { + "left": "issue:4122", + "right": "issue:5687", + "accept": false, + "reason": "Both involve timesteps, but they are distinct scheduler bugs with different triggering conditions and fixes." + }, + { + "left": "issue:11127", + "right": "issue:9996", + "accept": false, + "reason": "Both are Flux issues, but one is a single-file model load failure and the other is an nf4 transformer-loading problem." + }, + { + "left": "issue:4331", + "right": "issue:5014", + "accept": false, + "reason": "Different DreamBooth-related complaints, but not the same failure mode or fix." + }, + { + "left": "issue:10281", + "right": "issue:11859", + "accept": false, + "reason": "Both are scheduler requests, but they propose different schedulers and do not describe the same change." + }, + { + "left": "issue:1695", + "right": "issue:3177", + "accept": false, + "reason": "Multi-GPU DreamBooth support and DeepSpeed stage-3 offload breakage are related only broadly, not the same concrete bug." + }, + { + "left": "issue:5026", + "right": "issue:5875", + "accept": false, + "reason": "Different problems: a text_encoder KeyError versus an ONNX model conversion prompt 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": 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-50-3013", + "nodes": [ + "issue:10097", + "issue:10302", + "issue:10412", + "issue:10526", + "issue:11050", + "issue:1205", + "issue:12052", + "issue:1231", + "issue:12412", + "issue:13301", + "issue:1672", + "issue:1896", + "issue:1918", + "issue:2351", + "issue:2444", + "issue:2722", + "issue:2900", + "issue:3009", + "issue:3029", + "issue:3140", + "issue:3221", + "issue:3585", + "issue:3960", + "issue:4107", + "issue:4366", + "issue:4708", + "issue:4839", + "issue:5016", + "issue:5160", + "issue:5166", + "issue:542", + "issue:5515", + "issue:5605", + "issue:5760", + "issue:5968", + "issue:6142", + "issue:6372", + "issue:6439", + "issue:6497", + "issue:660", + "issue:6713", + "issue:7177", + "issue:7548", + "issue:7864", + "issue:835", + "issue:8556", + "issue:8732", + "issue:9527" + ], + "soft_pairs": [ + "issue:1672|issue:2722", + "issue:10302|issue:12052", + "issue:10097|issue:6439", + "issue:1205|issue:542", + "issue:2351|issue:5166", + "issue:3009|issue:3029", + "issue:3221|issue:7548", + "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" + ], + "prepared_review_unit_hash": "4652251a26a2018d18fe593e067cc0c241c8927cc17b538ed300a94690f04a29", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33483, + "estimated_input_tokens": 8371, + "estimated_eval_tokens": 16998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; the items span unrelated docs, model-support, conversion, scheduler, training, and dtype issues. All soft pairs are too broad or only superficially similar, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1672", + "right": "issue:2722", + "accept": false, + "reason": "Both involve conversion, but one is an output-size bug in ckpt-to-diffusers while the other is a ControlNet UNet mismatch after conversion; different failures and fixes." + }, + { + "left": "issue:10302", + "right": "issue:12052", + "accept": false, + "reason": "Both mention FP8/offloading, but one is inference noise and the other is a tensor device-mismatch crash; not the same code-path problem." + }, + { + "left": "issue:10097", + "right": "issue:6439", + "accept": false, + "reason": "Both are docs-related, but one is a missing optimization section and the other is a broken fp16 link; unrelated documentation issues." + }, + { + "left": "issue:1205", + "right": "issue:542", + "accept": false, + "reason": "Both are ONNX export topics, but one is converting full Stable Diffusion models and the other is a UNet export issue; too different to be one bug." + }, + { + "left": "issue:2351", + "right": "issue:5166", + "accept": false, + "reason": "A missing scheduler method versus a missing VQ-VAE scaling factor in a pipeline; different components and fixes." + }, + { + "left": "issue:3009", + "right": "issue:3029", + "accept": false, + "reason": "General ControlNet training advice is not the same as a custom-resolution question." + }, + { + "left": "issue:3221", + "right": "issue:7548", + "accept": false, + "reason": "One is an attention-procs loading API issue; the other is AnimateDiff flicker output quality. Same subsystem, different problems." + }, + { + "left": "issue:5160", + "right": "issue:5605", + "accept": false, + "reason": "Masking support and per-image caption support are distinct training features." + }, + { + "left": "issue:10526", + "right": "issue:8556", + "accept": false, + "reason": "Different models and error modes: optimum.quanto FP8 TypeError versus meta-tensor load failure in SD3 from_single_file." + }, + { + "left": "issue:3960", + "right": "issue:6713", + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is about LoRA and the other about the conversion script; insufficient evidence of the same underlying bug." + }, + { + "left": "issue:4107", + "right": "issue:5016", + "accept": false, + "reason": "LoRA noise/reduced quality is unrelated to SDXL text encoder training not being enabled." + }, + { + "left": "issue:4708", + "right": "issue:7177", + "accept": false, + "reason": "Generic import error versus StableCascade decoder from_pretrained failure; not the same issue." + }, + { + "left": "issue:6372", + "right": "issue:6497", + "accept": false, + "reason": "SVD+ControlNet support and DragNUWA support are separate model/pipeline feature requests." + }, + { + "left": "issue:10412", + "right": "issue:8732", + "accept": false, + "reason": "VRAM overuse in SD3.5 DreamBooth training is unrelated to checkpoint-saving issues in SD1.5 advanced training." + }, + { + "left": "issue:1918", + "right": "issue:5515", + "accept": false, + "reason": "Both scheduler-related, but one is a DDIM example bug and the other is LCM pipeline initialization without a scheduler; different failure points." + }, + { + "left": "issue:1896", + "right": "issue:660", + "accept": false, + "reason": "A CLIP-guided Stable Diffusion size/type error is not the same as an MPS fp16 runtime issue." + }, + { + "left": "issue:2900", + "right": "issue:3585", + "accept": false, + "reason": "Both mention LoRA merging, but one asks how to merge/save LoRA weights and the other reports a failure using a synthesized-LoRA model; not clearly the same bug." + }, + { + "left": "issue:5760", + "right": "issue:7864", + "accept": false, + "reason": "Different research/demo projects in video generation; no shared concrete bug or change." + }, + { + "left": "issue:1231", + "right": "issue:835", + "accept": false, + "reason": "A Flax scheduler issue and a Flax numpy_to_pil failure are unrelated." + }, + { + "left": "issue:12412", + "right": "issue:13301", + "accept": false, + "reason": "Support requests for different model families and pipelines; not duplicates." + }, + { + "left": "issue:3140", + "right": "issue:6142", + "accept": false, + "reason": "StableDiffusionControlNetPipeline import failure versus missing start_training symbol; unrelated errors." + }, + { + "left": "issue:4366", + "right": "issue:5968", + "accept": false, + "reason": "Full U-Net SDXL fine-tuning and video-to-ONNX conversion are unrelated tasks." + }, + { + "left": "issue:11050", + "right": "issue:9527", + "accept": false, + "reason": "Both are dtype-related, but one is a missing cast in a specific training script and the other is a controlnet/mainpipe precision mismatch; not the same concrete fix." + }, + { + "left": "issue:2444", + "right": "issue:4839", + "accept": false, + "reason": "DreamBooth inpaint script failure and lora_scale type error 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": 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-50-3013", + "nodes": [ + "issue:10147", + "issue:10446", + "issue:10462", + "issue:1082", + "issue:11561", + "issue:12113", + "issue:12124", + "issue:1251", + "issue:13062", + "issue:1335", + "issue:1949", + "issue:2538", + "issue:2844", + "issue:2947", + "issue:3418", + "issue:3769", + "issue:4297", + "issue:4390", + "issue:4456", + "issue:4584", + "issue:4619", + "issue:4736", + "issue:4767", + "issue:4932", + "issue:4969", + "issue:4977", + "issue:5254", + "issue:5300", + "issue:5334", + "issue:5538", + "issue:5592", + "issue:5628", + "issue:5846", + "issue:5849", + "issue:6159", + "issue:6295", + "issue:6794", + "issue:7079", + "issue:7220", + "issue:8410", + "issue:8803", + "issue:9648", + "issue:9857", + "issue:9858", + "issue:988", + "issue:989", + "issue:9911" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "7e3763374682d3b746f41d6117337b990a92604555e7a6bdbe8c476b7f992982", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33746, + "estimated_input_tokens": 8437, + "estimated_eval_tokens": 17130 + }, + "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, training-example issues, pipeline/runtime bugs, and hardware/backend compatibility problems across many different code paths.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a safe canonical representative; the items are thematically broad but technically unrelated.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue is suitable because the cluster does not describe one underlying bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9857", + "right": "issue:9858", + "accept": false, + "reason": "One is a FLUX ControlNet embedding size mismatch, the other is a KeyError: 'train'; different failures." + }, + { + "left": "issue:4736", + "right": "issue:5849", + "accept": false, + "reason": "OOM/cast errors in SDXL LoRA training vs accelerate launch missing args; not the same bug." + }, + { + "left": "issue:10147", + "right": "issue:10462", + "accept": false, + "reason": "Multi-view MV-Adapter support request vs CogVideoX multi-ID customization; different features." + }, + { + "left": "issue:10446", + "right": "issue:9911", + "accept": false, + "reason": "FluxControlNetPipeline model-sharding incompatibility vs multi-ControlNet layer-length mismatch; different code paths." + }, + { + "left": "issue:12124", + "right": "issue:13062", + "accept": false, + "reason": "Dataloader shuffle question for qwen-image training vs unsupported onnxruntime-windowsml backend." + }, + { + "left": "issue:2947", + "right": "issue:4456", + "accept": false, + "reason": "UNet missing load_attn_procs attribute vs ModuleList indexing error in LoRA loading; unrelated loader issues." + }, + { + "left": "issue:4969", + "right": "issue:5300", + "accept": false, + "reason": "CrossAttention import error vs package connecting to internet; different problems." + }, + { + "left": "issue:5538", + "right": "issue:8803", + "accept": false, + "reason": "Upscale pipeline latent usage question vs duplicate assignment in attention processor; unrelated." + }, + { + "left": "issue:4932", + "right": "issue:7220", + "accept": false, + "reason": "Dreambooth output file issue vs unload_ip_adapter error in a ControlNet inpaint pipeline; not the same bug." + }, + { + "left": "issue:4767", + "right": "issue:5254", + "accept": false, + "reason": "Scheduler prediction_type support vs multi-ControlNet support in inpaint pipeline; different changes." + }, + { + "left": "issue:4977", + "right": "issue:5592", + "accept": false, + "reason": "Checkpoint removal in an example script vs UniDiffuser checkpoint loading failure; different artifacts." + }, + { + "left": "issue:5628", + "right": "issue:6159", + "accept": false, + "reason": "LMS scheduler denoising offset vs missing denoising_end support in ControlNetXSPipeline; different scheduler/pipeline issues." + }, + { + "left": "issue:4297", + "right": "issue:6295", + "accept": false, + "reason": "SDXL batched img2img artifacts vs DPM++ 2M SDE Karras artifacts; similar symptom but not the same concrete bug." + }, + { + "left": "issue:11561", + "right": "issue:8410", + "accept": false, + "reason": "FluxFill IP-Adapter support vs native TextDiffuser support; different feature requests." + }, + { + "left": "issue:1251", + "right": "issue:3769", + "accept": false, + "reason": "MPS black image in RePaintPipeline vs panorama quartered output; distinct pipeline bugs." + }, + { + "left": "issue:1335", + "right": "issue:4390", + "accept": false, + "reason": "Missing vae_encoder argument vs missing requirements; unrelated import/setup issues." + }, + { + "left": "issue:2538", + "right": "issue:3418", + "accept": false, + "reason": "Enabling train_text_encoder in one script vs adding text-encoder part in another training script; related theme but not the same change." + }, + { + "left": "issue:5334", + "right": "issue:988", + "accept": false, + "reason": "Accelerate multi-model handling request vs FSDP training examples; broad training infrastructure, but not the same issue." + }, + { + "left": "issue:12113", + "right": "issue:9648", + "accept": false, + "reason": "WanImageToVideo input channel mismatch vs VAE tiling memory overflow; different root causes." + }, + { + "left": "issue:1949", + "right": "issue:2844", + "accept": false, + "reason": "Dreambooth tutorial training errors vs explicit image embeddings in StableUnCLIPImg2ImgPipeline; unrelated." + }, + { + "left": "issue:1082", + "right": "issue:989", + "accept": false, + "reason": "Dreambooth cublasLtMatmul failure vs generic weight dimensionality error; not the same bug." + }, + { + "left": "issue:5846", + "right": "issue:5849", + "accept": false, + "reason": "resume_from_checkpoint error vs accelerate launch missing args; both training-script issues but different failures." + }, + { + "left": "issue:6794", + "right": "issue:7079", + "accept": false, + "reason": "Import error for cast_training_params vs Transformer2DModel patch/norm_type error; unrelated." + }, + { + "left": "issue:4584", + "right": "issue:4619", + "accept": false, + "reason": "resume_from_checkpoint error in SDXL LoRA training vs half/float bias mismatch; different training 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10933", + "issue:11117", + "issue:11396", + "issue:11661", + "issue:11779", + "issue:11901", + "issue:12358", + "issue:12567", + "issue:12783", + "issue:12895", + "issue:1305", + "issue:13137", + "issue:1546", + "issue:2202", + "issue:2471", + "issue:2695", + "issue:3087", + "issue:3689", + "issue:4030", + "issue:4107", + "issue:4269", + "issue:4332", + "issue:4368", + "issue:4478", + "issue:4534", + "issue:4615", + "issue:5079", + "issue:5245", + "issue:5327", + "issue:5573", + "issue:5607", + "issue:6109", + "issue:6439", + "issue:7138", + "issue:7191", + "issue:7420", + "issue:7432", + "issue:7572", + "issue:8241", + "issue:8827", + "issue:8837", + "issue:8930", + "issue:8989", + "issue:9227", + "issue:9479", + "issue:9531", + "issue:9813" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "8494d4b350226c1c3a9a992e67b248c0c9c4c5e40da3fcfdf075a1d52798904d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34075, + "estimated_input_tokens": 8519, + "estimated_eval_tokens": 17294 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is broadly heterogeneous; the soft pairs are mostly superficial topic matches rather than true duplicates. No PRs are present.", + "confidence": 0.22, + "canonical_issue_reason": "If a single issue must be chosen, issue 12783 is the most concrete, reproducible open bug report in the noisy-output/attention area, but the overall set is not a single duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12783 is the strongest standalone issue: it has a clear symptom, current impact, and enough detail to be actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2695", + "right": "issue:4534", + "accept": false, + "reason": "Both are training/validation crashes, but they affect different pipelines and error paths." + }, + { + "left": "issue:4478", + "right": "issue:8241", + "accept": false, + "reason": "Different models and different failures: dtype mismatch versus abnormal model size." + }, + { + "left": "issue:1546", + "right": "issue:4269", + "accept": false, + "reason": "Both involve input validation, but one is truncation/batched input behavior and the other is a TypeError in check_inputs." + }, + { + "left": "issue:7432", + "right": "issue:7572", + "accept": false, + "reason": "One is about image quality differences; the other is a concrete dtype mismatch error." + }, + { + "left": "issue:11661", + "right": "issue:9227", + "accept": false, + "reason": "Different training scripts and different bugs; only a broad LoRA/training theme overlaps." + }, + { + "left": "issue:8837", + "right": "issue:8989", + "accept": false, + "reason": "Both concern performance/attention-related behavior, but they are distinct code paths and symptoms." + }, + { + "left": "issue:10933", + "right": "issue:11396", + "accept": false, + "reason": "IP-Adapter loading error versus a LoRA conversion question; not the same underlying bug." + }, + { + "left": "issue:11117", + "right": "issue:12895", + "accept": false, + "reason": "Different Stable Diffusion 3 failures: dtype mismatch versus NoneType batching crash." + }, + { + "left": "issue:11779", + "right": "issue:9479", + "accept": false, + "reason": "Both involve masking, but one is Wan VACE mask padding and the other is inpaint overwriting unmasked regions." + }, + { + "left": "issue:11901", + "right": "issue:13137", + "accept": false, + "reason": "Model-specific LoRA loading failures with different models and error modes." + }, + { + "left": "issue:12567", + "right": "issue:12783", + "accept": false, + "reason": "Both mention noisy output from attention optimizations, but the implementations and failure details differ." + }, + { + "left": "issue:1305", + "right": "issue:3087", + "accept": false, + "reason": "Direct inversion support request and LyCORIS support are unrelated feature requests." + }, + { + "left": "issue:3689", + "right": "issue:5079", + "accept": false, + "reason": "Related to LoRA APIs, but one is unloading weights and the other is loading LyCORIS." + }, + { + "left": "issue:4332", + "right": "issue:7420", + "accept": false, + "reason": "xformers usage in a specific pipeline versus torch.compile enablement are unrelated." + }, + { + "left": "issue:4615", + "right": "issue:5245", + "accept": false, + "reason": "ImportError in diffusers versus a pipenv import-stage freeze; not the same issue." + }, + { + "left": "issue:5245", + "right": "issue:7191", + "accept": false, + "reason": "Generic import problems, but no shared code path or concrete failure mode." + }, + { + "left": "issue:6439", + "right": "issue:9531", + "accept": false, + "reason": "Docs link 404 and SDXL sigma tuning are unrelated." + }, + { + "left": "issue:8827", + "right": "issue:9813", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a FaceID loading error and the other is batch feature mixing." + }, + { + "left": "issue:5573", + "right": "issue:7138", + "accept": false, + "reason": "ControlNet initialization slowness versus SDXL UNet structure mismatch are different problems." + }, + { + "left": "issue:6109", + "right": "issue:8930", + "accept": false, + "reason": "Both involve ControlNet-like conditioning, but they target different pipelines and bugs." + }, + { + "left": "issue:2471", + "right": "issue:5607", + "accept": false, + "reason": "Both mention shape-related failures, but the underlying pipelines and tensor mismatch causes are different." + }, + { + "left": "issue:4030", + "right": "issue:5327", + "accept": false, + "reason": "Embedding/textual-inversion related, but one is a runtime embedding error and the other is an SDXL import/load issue." + }, + { + "left": "issue:4107", + "right": "issue:4368", + "accept": false, + "reason": "Noise/quality degradation and OOM during LoRA training are not the same bug." + }, + { + "left": "issue:10100", + "right": "issue:12358", + "accept": false, + "reason": "Both are feature requests for new pipelines, but they are for different models and changes." + }, + { + "left": "issue:2202", + "right": "issue:3087", + "accept": false, + "reason": "OpenVINO pipeline support and LyCORIS support 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": 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-50-3013", + "nodes": [ + "issue:10010", + "issue:10029", + "issue:10398", + "issue:10640", + "issue:10782", + "issue:11148", + "issue:11223", + "issue:11581", + "issue:11592", + "issue:11674", + "issue:11885", + "issue:12149", + "issue:12501", + "issue:1957", + "issue:2266", + "issue:2507", + "issue:2775", + "issue:2984", + "issue:3026", + "issue:3585", + "issue:3937", + "issue:4478", + "issue:4551", + "issue:4605", + "issue:4618", + "issue:5046", + "issue:5110", + 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"issue:11581 is the most concrete standalone bug report in the set, with a specific runtime error and likely actionable fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2984", + "right": "issue:5046", + "accept": false, + "reason": "Different topics: a video diffusion paper/proposal vs a drag-style manipulation feature request." + }, + { + "left": "issue:9858", + "right": "issue:9927", + "accept": false, + "reason": "Both are training-related errors, but the failure modes differ completely (`KeyError: 'train'` vs `HeaderTooLarge`)." + }, + { + "left": "issue:10029", + "right": "issue:10398", + "accept": false, + "reason": "Both involve PEFT/adapter loading, but one is a missing `base_layer` attribute and the other is missing target modules in the base model." + }, + { + "left": "issue:2266", + "right": "issue:2507", + "accept": false, + "reason": "Both mention performance, but one is sequential CPU offload slowdown and the other is safetensors GPU loading being slower than CPU." + }, + { + "left": "issue:4618", + "right": "issue:5110", + "accept": false, + "reason": "Completely unrelated: SDXL ControlNet usage vs Hugging Face repo-id validation failure." + }, + { + "left": "issue:11223", + "right": "issue:11674", + "accept": false, + "reason": "Different requests: an OOM bug with LoRAs under layer-wise upcasting vs a feature request for Wan VACE inputs." + }, + { + "left": "issue:10010", + "right": "issue:7836", + "accept": false, + "reason": "Unrelated bugs: a FLUX Fill model download failure vs CLIP training overfitting." + }, + { + "left": "issue:1957", + "right": "issue:5274", + "accept": false, + "reason": "Different training problems: LR scheduler initialization vs mixed-precision dtype mismatch." + }, + { + "left": "issue:5594", + "right": "issue:6529", + "accept": false, + "reason": "Different concerns: SDXL LoRA memory-saving discussion vs Fooocus inpaint support." + }, + { + "left": "issue:5714", + "right": "issue:7185", + "accept": false, + "reason": "Unrelated issues: PeftModel handling in `maybe_raise_or_warn` vs PyTorch 2.2 compatibility." + }, + { + "left": "issue:3026", + "right": "issue:3585", + "accept": false, + "reason": "Different code paths and symptoms: instruct-pix2pix launch failure vs LoRA synthesis into SD1.5 failing." + }, + { + "left": "issue:7168", + "right": "issue:7640", + "accept": false, + "reason": "Both are image-generation issues, but IP-Adapter embedding shape handling is not the same as `from_single_file` dimension errors." + }, + { + "left": "issue:10640", + "right": "issue:6794", + "accept": false, + "reason": "Different subsystems: FluxInpaint/DataParallel GPU error vs import failure for `cast_training_params`." + }, + { + "left": "issue:3937", + "right": "issue:6567", + "accept": false, + "reason": "Unrelated: ZeroscopeXL model loading behavior vs an SD 1.5 import warning about `text_config_dict`." + }, + { + "left": "issue:4478", + "right": "issue:4605", + "accept": false, + "reason": "Both are SD model errors, but one is a dtype/bias mismatch in SDXL loading and the other is an inpaint pipeline error." + }, + { + "left": "issue:2775", + "right": "issue:6520", + "accept": false, + "reason": "Different failures: a Torch Dynamo optimization error vs blank validation outputs during adapter training." + }, + { + "left": "issue:4551", + "right": "issue:5829", + "accept": false, + "reason": "Different training crashes: SDXL DreamBooth failure vs missing `unet_time_cond_proj_dim` in LCM scripts." + }, + { + "left": "issue:11148", + "right": "issue:12501", + "accept": false, + "reason": "Both are bugs, but one is PEFT adapter state tracking and the other is a VAE decoder graph-break issue." + }, + { + "left": "issue:6335", + "right": "issue:6598", + "accept": false, + "reason": "Different img2img problems: output-size control vs differing results for identical parameters." + }, + { + "left": "issue:5678", + "right": "issue:7575", + "accept": false, + "reason": "Distinct model/math issues: higher-order derivative behavior in attention vs a shape error in Transformer2DModel with adanorm." + }, + { + "left": "issue:10010", + "right": "issue:9032", + "accept": false, + "reason": "Completely unrelated: FLUX Fill example download failure vs a Flax/TPU setup question." + }, + { + "left": "issue:10782", + "right": "issue:12149", + "accept": false, + "reason": "Different scopes: a Lumina Image 2.0 minor issue vs package/source version mismatch." + }, + { + "left": "issue:11581", + "right": "issue:11885", + "accept": false, + "reason": "Both concern FLUX adapters, but one is an IP-Adapter constructor dtype error and the other is a LoRA loading regression." + }, + { + "left": "issue:11592", + "right": "issue:9171", + "accept": false, + "reason": "Unrelated regressions: FluxLoraLoaderMixin adapter deletion vs SD 1.5 `v_prediction` handling in `from_single_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": 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-50-3013", + "nodes": [ + "issue:10940", + "issue:11127", + "issue:1214", + "issue:1530", + "issue:2532", + "issue:2696", + "issue:3089", + "issue:3171", + "issue:4000", + "issue:4080", + "issue:4139", + "issue:4403", + "issue:4414", + "issue:447", + "issue:4542", + "issue:460", + "issue:4605", + "issue:4675", + "issue:4753", + "issue:5002", + "issue:5054", + "issue:5152", + "issue:5372", + "issue:5824", + "issue:5981", + "issue:5989", + "issue:6159", + "issue:6183", + "issue:6258", + "issue:6790", + "issue:7009", + "issue:7041", + "issue:7210", + "issue:7355", + "issue:7592", + "issue:8236", + "issue:8373", + "issue:8644", + "issue:8792", + "issue:8900", + "issue:9023", + "issue:9209", + "issue:9279", + "issue:9292", + "issue:962", + "issue:9856", + "issue:9953" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "610c32b0b96ca39c913a7142487a73d6d99df01272d740ef5a84f1c7454fe4ed", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33464, + "estimated_input_tokens": 8366, + "estimated_eval_tokens": 16988 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the soft pairs mostly share only broad diffusion-model vocabulary or the same subsystem, but they describe different bugs, features, or backend/platform failures. I would not merge any of the proposed pairs.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2532", + "right": "issue:5824", + "accept": false, + "reason": "Both involve Stable Diffusion pipeline internals, but one is a panorama get_views bug and the other is an SDXL add_time_ids default issue; different code paths and symptoms." + }, + { + "left": "issue:2696", + "right": "issue:460", + "accept": false, + "reason": "CUDA installation/runtime error vs ONNX Runtime backend dependency selection; these are separate environment/backend problems." + }, + { + "left": "issue:3089", + "right": "issue:5989", + "accept": false, + "reason": "DDPM scheduler logic bug and safetensors.torch bug are unrelated components with different failure modes." + }, + { + "left": "issue:3171", + "right": "issue:447", + "accept": false, + "reason": "LPW prompt support for ControlNet vs prompt truncation detection/return values; different feature requests." + }, + { + "left": "issue:4000", + "right": "issue:8373", + "accept": false, + "reason": "Model ckpt conversion problem vs an incorrect error message; not the same underlying bug." + }, + { + "left": "issue:4080", + "right": "issue:4675", + "accept": false, + "reason": "SDXL inpainting pipeline request vs ControlNet Reference Only support; separate features." + }, + { + "left": "issue:5054", + "right": "issue:5372", + "accept": false, + "reason": "Missing final_offload_hook attribute and safety_checker usage are different StableDiffusionXL API issues." + }, + { + "left": "issue:6790", + "right": "issue:7592", + "accept": false, + "reason": "Both are state_dict loading problems, but one is an LCM example key mismatch and the other is DoRA key loading; not the same concrete bug." + }, + { + "left": "issue:7041", + "right": "issue:8792", + "accept": false, + "reason": "Segfault at num_inference_steps > 1 is a runtime crash; image-quality degradation during migration is a separate quality regression." + }, + { + "left": "issue:11127", + "right": "issue:9856", + "accept": false, + "reason": "Single-file FLUX model loading failure vs distributed port collision; unrelated errors." + }, + { + "left": "issue:8644", + "right": "issue:9953", + "accept": false, + "reason": "Both mention device/offload behavior, but one is T5 encoder sequential offload meta-tensor failure and the other is moving a quantized component to CUDA; different code paths." + }, + { + "left": "issue:4403", + "right": "issue:6159", + "accept": false, + "reason": "Half-precision LayerNorm failure vs missing denoising_end argument support; unrelated." + }, + { + "left": "issue:6183", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect tensor shape from from_single_file is not the same as an incorrect error message." + }, + { + "left": "issue:10940", + "right": "issue:7210", + "accept": false, + "reason": "Missing triton.ops import and missing named_parameters under accelerate are different integration issues." + }, + { + "left": "issue:1214", + "right": "issue:4139", + "accept": false, + "reason": "Both concern precision, but CLIPTextModel half-precision support and custom attention processor casting are not the same bug." + }, + { + "left": "issue:4542", + "right": "issue:7355", + "accept": false, + "reason": "Cannot generate more than one image in SDXL img2img vs Stable Cascade arbitrary-resolution bfloat16 errors; unrelated." + }, + { + "left": "issue:4753", + "right": "issue:8236", + "accept": false, + "reason": "train_dreambooth_lora.py problem vs wrong multi-GPU LR scheduler step count; different training bugs." + }, + { + "left": "issue:9279", + "right": "issue:9292", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile and FLUX LoRA key incompatibility are separate issues." + }, + { + "left": "issue:5152", + "right": "issue:5981", + "accept": false, + "reason": "W\u00fcrstchen alpha bug vs DPMSolver scheduler bug; no concrete overlap." + }, + { + "left": "issue:6258", + "right": "issue:7009", + "accept": false, + "reason": "Forward chunking degrading quality in Stable Video Diffusion is not the same as poor results from a specific text-to-video checkpoint." + }, + { + "left": "issue:8900", + "right": "issue:9209", + "accept": false, + "reason": "Loading SDXL refiner from_single_file vs failing to connect to hf-mirror.com are unrelated." + }, + { + "left": "issue:1530", + "right": "issue:5002", + "accept": false, + "reason": "Missing learned_classifier_free_sampling_embeddings and missing use_karras_sigmas are different API gaps in different schedulers/pipelines." + }, + { + "left": "issue:4414", + "right": "issue:9023", + "accept": false, + "reason": "Consistency Model sample request vs generic sample code failure; too broad to be the same bug." + }, + { + "left": "issue:4605", + "right": "issue:962", + "accept": false, + "reason": "Long prompt weighting with an inpaint model error vs inpaint pipelines only supporting 512x512 are different inpaint 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": 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-50-3013", + "nodes": [ + "issue:10066", + "issue:10198", + "issue:10650", + "issue:11169", + "issue:11489", + "issue:11661", + "issue:12126", + "issue:12565", + "issue:12645", + "issue:12995", + "issue:1444", + "issue:1709", + "issue:1909", + "issue:1919", + "issue:1922", + "issue:2098", + "issue:2737", + "issue:2838", + "issue:305", + "issue:3057", + "issue:3624", + "issue:4094", + "issue:4186", + "issue:4222", + "issue:4249", + "issue:459", + "issue:4768", + "issue:5110", + "issue:5120", + "issue:5485", + "issue:5605", + "issue:5689", + "issue:5821", + "issue:5989", + "issue:6042", + "issue:6055", + "issue:6313", + "issue:6513", + "issue:6616", + "issue:6686", + "issue:7000", + "issue:7490", + "issue:7798", + "issue:8552", + "issue:8790", + "issue:9331", + "issue:9516", + "issue:9974" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "8d6779f32c05601def4a185e5d303425b8903681d6a5000663b3d6c0dc473079", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 largely heterogeneous: it mixes unrelated bugs, feature requests, and support questions across different pipelines and versions. None of the soft-edge pairs look like true duplicates of the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No issue cleanly represents the whole set because the cluster is not cohesive. If one must be chosen, issue 11489 is the most concrete, actionable bug report (a specific Flux LoRA training failure) rather than a broad support question or a generic error report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11489 is the best single triage candidate: it describes a specific, reproducible training error with a clear context. 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not the same concrete bug." + }, + { + "left": "issue:1444", + "right": "issue:305", + "accept": false, + "reason": "Missing StableDiffusionSafetyChecker import is not the same as the generic diffusers import error." + }, + { + "left": "issue:1922", + "right": "issue:5689", + "accept": false, + "reason": "Undefined notebook helper is unrelated to DPM++ residual noise in SDXL." + }, + { + "left": "issue:2838", + "right": "issue:459", + "accept": false, + "reason": "ControlNet pipeline behavior request is unrelated to incremental diffusion." + }, + { + "left": "issue:3057", + "right": "issue:4249", + "accept": false, + "reason": "Conversion-script import failure is unrelated to check_inputs prompt_embeds validation." + }, + { + "left": "issue:4094", + "right": "issue:4768", + "accept": false, + "reason": "Adding a T2I adapter training script is not the same as saving multiple adapters in one checkpoint." + }, + { + "left": "issue:5485", + "right": "issue:8552", + "accept": false, + "reason": "Batch inference slowness is unrelated to a TextToVideoZeroPipeline segfault." + }, + { + "left": "issue:7490", + "right": "issue:9331", + "accept": false, + "reason": "Generic backward problem is unrelated to FlowMatchEulerDiscreteScheduler index_for_timestep." + }, + { + "left": "issue:10066", + "right": "issue:9974", + "accept": false, + "reason": "Different bugs: attention unpacking error vs missing expected parameters in controlnet_sd3." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10111", + "issue:10147", + "issue:10382", + "issue:1055", + "issue:1083", + "issue:10952", + "issue:11160", + "issue:1158", + "issue:11659", + "issue:11732", + "issue:1205", + "issue:12097", + "issue:13162", + "issue:1445", + "issue:1572", + "issue:1574", + "issue:2288", + "issue:2480", + "issue:2799", + "issue:3045", + "issue:3065", + "issue:3391", + "issue:3717", + "issue:4528", + "issue:4557", + "issue:4585", + "issue:4972", + "issue:4977", + "issue:5034", + "issue:5037", + "issue:5046", + "issue:5395", + "issue:5432", + "issue:5442", + "issue:5763", + "issue:5875", + "issue:6548", + "issue:6839", + "issue:7133", + "issue:7147", + "issue:720", + "issue:7243", + "issue:835", + "issue:8801", + "issue:9090", + "issue:9387", + "issue:9686", + "issue:9846" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "3e1e7b4b33cd46eb79c4d6c27810457b17a03f3fd8329c7675f5359d40e0c3d8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33871, + "estimated_input_tokens": 8468, + "estimated_eval_tokens": 17192 + }, + "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 bug reports, and none of the soft pairs look like true duplicates of the same concrete issue. The only loose theme is LoRA/loading-related reports, but even those point to different failures and code paths.", + "confidence": 0.92, + "canonical_issue_reason": "issue:11659 is the broadest active issue in the set, but the cluster is not a genuine duplicate group; it only loosely matches the recurring LoRA-loading theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11659 is the most generic and umbrella-like issue title in the set, so it is the least bad representative if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4585", + "right": "issue:7147", + "accept": false, + "reason": "Different problems: SDXL MultiControlNet documentation/usage vs missing import for StableCascadeDecoderPipeline." + }, + { + "left": "issue:4977", + "right": "issue:5034", + "accept": false, + "reason": "Both mention checkpoints, but one is about distributed checkpoint directories and the other about progress bar display during loading." + }, + { + "left": "issue:1055", + "right": "issue:4557", + "accept": false, + "reason": "Different failures: missing LatentDiffusionPipeline vs AttributeError on `super().__getattr__`." + }, + { + "left": "issue:4528", + "right": "issue:5763", + "accept": false, + "reason": "LoRA quality/output issue vs `save_pretrained` not writing safetensors; 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different subsystems and symptoms." + }, + { + "left": "issue:10382", + "right": "issue:7133", + "accept": false, + "reason": "VAE encoder return-type AttributeError vs SDXL Dreambooth LoRA text-encoder size mismatch; not the same bug." + }, + { + "left": "issue:1083", + "right": "issue:835", + "accept": false, + "reason": "FP16 ONNX output correctness vs flax pipeline `numpy_to_pil` failure; unrelated." + }, + { + "left": "issue:10952", + "right": "issue:11732", + "accept": false, + "reason": "Both are LoRA load errors, but the adapter-name mismatch and tuple-unpack error come from different failure modes." + }, + { + "left": "issue:1158", + "right": "issue:2480", + "accept": false, + "reason": "Test interference in `test_config.py` vs Dreambooth checkpoint folder layout; unrelated." + }, + { + "left": "issue:1205", + "right": "issue:3045", + "accept": false, + "reason": "Different conversion tasks: SD model to ONNX vs LoRA safetensors to diffusers." + }, + { + "left": "issue:1445", + "right": "issue:5875", + "accept": false, + "reason": "Both are ONNX-related, but they describe different pipeline errors and different conversion scenarios." + }, + { + "left": "issue:2288", + "right": "issue:3065", + "accept": false, + "reason": "Training-script implementation request vs adding a LoRA tuning option; separate feature requests." + }, + { + "left": "issue:3391", + "right": "issue:6548", + "accept": false, + "reason": "Different image-processing bugs: overexposure in DeepFloyd SR vs RGBA being mistaken for latents in img2img." + }, + { + "left": "issue:5442", + "right": "issue:9387", + "accept": false, + "reason": "Distinct pipeline features: ScaleCrafter vs MimicMotion." + }, + { + "left": "issue:6839", + "right": "issue:9846", + "accept": false, + "reason": "Different missing feature requests: from_single_file for StableVideoDiffusion vs FluxControlNetModel." + }, + { + "left": "issue:4972", + "right": "issue:720", + "accept": false, + "reason": "Example-code failure in Wuerstchen vs traced UNet dtype mismatch; different issues." + }, + { + "left": "issue:1572", + "right": "issue:2799", + "accept": false, + "reason": "One is a pipeline capability bug for img2img/inpainting, the other is a checkpoint-vs-pipeline mismatch guard." + }, + { + "left": "issue:5037", + "right": "issue:5432", + "accept": false, + "reason": "Second validation image argument error vs blank validation images; related area but different concrete bugs." + }, + { + "left": "issue:10147", + "right": "issue:8801", + "accept": false, + "reason": "Different model support requests: MV-Adapter multi-view generation vs Kolors 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": 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-50-3013", + "nodes": [ + "issue:10107", + "issue:10749", + "issue:10950", + "issue:10962", + "issue:11010", + "issue:11642", + "issue:12574", + "issue:1742", + "issue:1823", + "issue:2221", + "issue:2228", + "issue:228", + "issue:2392", + "issue:2646", + "issue:3284", + "issue:3622", + "issue:3624", + "issue:3698", + "issue:3765", + "issue:3805", + "issue:4125", + "issue:4213", + "issue:4436", + "issue:4680", + "issue:4752", + "issue:5044", + "issue:5112", + "issue:5274", + "issue:5510", + "issue:579", + "issue:5989", + "issue:6087", + "issue:6094", + "issue:6142", + "issue:6164", + "issue:6176", + "issue:6517", + "issue:7535", + "issue:785", + "issue:8469", + "issue:8557", + "issue:8752", + "issue:8930", + "issue:8939", + "issue:9034", + "issue:9309", + "issue:9979" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "b387869dd2c746764aa5aa6ccbf505e7290bc0b6bb94a35f1a5ded313dcd6446", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33676, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue set spanning docs, training, dependency, and many distinct pipeline bugs. The only plausible duplicate pair is the two Flux ControlNet reports; the rest should stay separate.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 9979 is the most concrete and actionable bug report in the only plausible duplicate subgroup, with an explicit channels error and clearer repro value.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9979 is the best anchor for deduping within this cluster because it names the concrete Flux ControlNet failure mode, while the broader set has no single shared root cause.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6094", + "right": "issue:6176", + "accept": false, + "reason": "Different pipelines and failures: TextToVideoZero regression after a version update vs LoRA weight loading after DreamBooth training." + }, + { + "left": "issue:6517", + "right": "issue:9034", + "accept": false, + "reason": "One is an import traceback for an SDXL ControlNet module; the other is an optional dependency requirement for AutoPipelineForText2Image." + }, + { + "left": "issue:5112", + "right": "issue:8930", + "accept": false, + "reason": "Different bug shapes: a runtime tensor shape/type error vs a control-image adherence quality problem." + }, + { + "left": "issue:3765", + "right": "issue:6087", + "accept": false, + "reason": "Training image stacking effects in ControlNet is unrelated to saving/loading LoRA config and wrong lora_alpha." + }, + { + "left": "issue:10749", + "right": "issue:11010", + "accept": false, + "reason": "Separate feature requests for different models and capabilities: GGUF support in Lumina2 vs architecture support for Chroma/Flux." + }, + { + "left": "issue:1823", + "right": "issue:3622", + "accept": false, + "reason": "A comments-swapped docs/content issue is unrelated to a tutorial import error." + }, + { + "left": "issue:2228", + "right": "issue:785", + "accept": false, + "reason": "Loading the pipeline onto GPU and PNDMScheduler runtime cost are different problems." + }, + { + "left": "issue:228", + "right": "issue:3622", + "accept": false, + "reason": "Broken release link and tutorial import failure are unrelated." + }, + { + "left": "issue:3624", + "right": "issue:6142", + "accept": false, + "reason": "Different exceptions in different code paths: getattr TypeError vs missing start_training NameError." + }, + { + "left": "issue:3698", + "right": "issue:4680", + "accept": false, + "reason": "Model conversion request vs fine-tuning SDXL inpainting discussion; not the same bug or change." + }, + { + "left": "issue:4436", + "right": "issue:5989", + "accept": false, + "reason": "Converting CIVITAI weights to diffusers is unrelated to a safetensors.torch bug report." + }, + { + "left": "issue:4752", + "right": "issue:7535", + "accept": false, + "reason": "Runtime half/float mismatch in SDXL is not the same as a type-hint incompatibility issue." + }, + { + "left": "issue:10962", + "right": "issue:12574", + "accept": false, + "reason": "Different model pipelines and failure modes: prompt_embed shape handling in CogView4 vs missing control-arg handling in WanVideoToVideo." + }, + { + "left": "issue:11642", + "right": "issue:8939", + "accept": false, + "reason": "Prompt scale not taking effect in FluxPriorRedux is unrelated to tokenizer loading/dependency resolution." + }, + { + "left": "issue:3284", + "right": "issue:3805", + "accept": false, + "reason": "An accelerate training-script failure is not the same as a Colab CalledProcessError." + }, + { + "left": "issue:5510", + "right": "issue:6164", + "accept": false, + "reason": "These are different pipeline regressions: SDXL instruct-pix2pix dtype mismatch vs latent output handling in StableDiffusionPipeline." + }, + { + "left": "issue:1742", + "right": "issue:2392", + "accept": false, + "reason": "Inference speed variation from prompt list content is unrelated to prompt_embeds validation raising NoneType errors." + }, + { + "left": "issue:2221", + "right": "issue:579", + "accept": false, + "reason": "ColossalAI integration errors and missing config.json in textual inversion are distinct issues." + }, + { + "left": "issue:2646", + "right": "issue:5044", + "accept": false, + "reason": "Tiled VAE IndexError is unrelated to Kandinsky 2.2 loading failure." + }, + { + "left": "issue:4125", + "right": "issue:5274", + "accept": false, + "reason": "A question about LoRA loss curves is not the same as a dtype mismatch training error." + }, + { + "left": "issue:4213", + "right": "issue:8752", + "accept": false, + "reason": "Both mention from_single_file, but one is about missing accelerate while the other is about offline server loading; different root causes." + }, + { + "left": "issue:10107", + "right": "issue:8557", + "accept": false, + "reason": "Training example validation checkpointing is unrelated to SD3 token-limit constraints." + }, + { + "left": "issue:10950", + "right": "issue:8469", + "accept": false, + "reason": "Documentation brokenness and broken face outputs are not the same underlying bug." + }, + { + "left": "issue:9309", + "right": "issue:9979", + "accept": true, + "reason": "Both point to Flux ControlNet pipeline failures on Flux 1.x, and the explicit channels error in 9979 plausibly describes the same underlying code-path bug reported more broadly in 9309." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: almost all pairs are clearly different by title/content, and the only plausible duplicate subgroup is the Flux ControlNet pair (9309/9979). The soft verdicts stay conservative overall, and the acceptance of that one pair is appropriately qualified as plausible rather than certain." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10672", + "issue:10869", + "issue:10883", + "issue:10967", + "issue:11022", + "issue:11035", + "issue:11222", + "issue:1161", + "issue:11630", + "issue:12147", + "issue:122", + "issue:13203", + "issue:1451", + "issue:1798", + "issue:1896", + "issue:2107", + "issue:2548", + "issue:2676", + "issue:2780", + "issue:2856", + "issue:3087", + "issue:3296", + "issue:3431", + "issue:3974", + "issue:4059", + "issue:5168", + "issue:5567", + "issue:5576", + "issue:5757", + "issue:5824", + "issue:5984", + "issue:599", + "issue:6054", + "issue:6399", + "issue:6958", + "issue:7238", + "issue:7370", + "issue:756", + "issue:757", + "issue:7661", + "issue:7877", + "issue:8309", + "issue:852", + "issue:8826", + "issue:9216", + "issue:941", + "issue:9551", + "issue:9958" + ], + "soft_pairs": [ + "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", + "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:1161|issue:1798", + "issue:5168|issue:7370", + "issue:1451|issue:1896", + "issue:12147|issue:13203", + "issue:5567|issue:5824" + ], + "prepared_review_unit_hash": "bbdd1cf21aab5eac2f57654fcdcf8434405d71a713e94da7433edc9d735fb848", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34200, + "estimated_input_tokens": 8550, + "estimated_eval_tokens": 17356 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are largely unrelated issues spanning different features, models, and error paths. None of the soft-edge pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10869 is the clearest standalone bug report in the set: specific runtime error, concrete symptom, and likely actionable repro. The rest are mostly feature requests or unrelated support/issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10869 is the strongest issue for triage because it describes a precise failure mode ('Tensor.item() cannot be called on meta tensors') rather than a broad request, and it is self-contained.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11022", + "right": "issue:13203", + "accept": false, + "reason": "Different model families and different problems: WAN 2.1 Quanto conversion vs Zimage LoRA support." + }, + { + "left": "issue:10869", + "right": "issue:8826", + "accept": false, + "reason": "Unrelated runtime errors in different code paths: meta-tensor item() vs empty torch.cat list." + }, + { + "left": "issue:11035", + "right": "issue:9958", + "accept": false, + "reason": "Different features: download symlink handling vs AutoencoderKLTemporalDecoder tiling support." + }, + { + "left": "issue:11222", + "right": "issue:11630", + "accept": false, + "reason": "Both mention WAN, but one is about adding more LoRAs and the other about from_single_file support for a specific transformer model; not the same change." + }, + { + "left": "issue:2780", + "right": "issue:756", + "accept": false, + "reason": "Different failures: FP16 gradient unscale in training vs a deprecation tuple / tensor_format error." + }, + { + "left": "issue:6399", + "right": "issue:6958", + "accept": false, + "reason": "One is about LoRA visibility in UI tools, the other about a motion model config/architecture issue." + }, + { + "left": "issue:852", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related, but the bugs are distinct: unexpected device_map keyword vs noisy img2img results with num_images_per_prompt." + }, + { + "left": "issue:2107", + "right": "issue:3431", + "accept": false, + "reason": "Both concern image quality, but one is low-resolution black images and the other is poor inpainting+ControlNet results." + }, + { + "left": "issue:5757", + "right": "issue:5984", + "accept": false, + "reason": "Different training problems: checkpoint resume errors vs high RAM use from fp16 variant." + }, + { + "left": "issue:5576", + "right": "issue:8309", + "accept": false, + "reason": "FreeNoise scheduler request and conditional diffusion distillation are unrelated feature requests." + }, + { + "left": "issue:7238", + "right": "issue:7661", + "accept": false, + "reason": "IP-Adapter masking vs an AnimateDiff pipeline integration question; related domain, but not the same underlying bug/change." + }, + { + "left": "issue:10672", + "right": "issue:7877", + "accept": false, + "reason": "Callback support for pipelines and Attention out_dim support are unrelated API requests." + }, + { + "left": "issue:122", + "right": "issue:2856", + "accept": false, + "reason": "Different errors in different areas: missing 'exceptions' module during training vs failure converting an SD model to diffusers." + }, + { + "left": "issue:2548", + "right": "issue:3296", + "accept": false, + "reason": "Both involve training/checkpoint saving, but they affect different scripts and conditions, so they are not the same bug." + }, + { + "left": "issue:599", + "right": "issue:757", + "accept": false, + "reason": "Deepspeed integration request and attention splicing for textual inversion are unrelated enhancements." + }, + { + "left": "issue:6054", + "right": "issue:8826", + "accept": false, + "reason": "Scheduler timestep conversion bug vs empty-tensor cat error; no shared code-path evidence." + }, + { + "left": "issue:10883", + "right": "issue:9216", + "accept": false, + "reason": "Marigold update/documentation vs a pipeline for combining many models; unrelated changes." + }, + { + "left": "issue:10967", + "right": "issue:9551", + "accept": false, + "reason": "Different model integrations entirely: LaVie/Cinemo vs Flux ControlNet usage question." + }, + { + "left": "issue:2676", + "right": "issue:4059", + "accept": false, + "reason": "Scheduler naming question and reference-pipeline bug/question are not the same issue." + }, + { + "left": "issue:3087", + "right": "issue:3974", + "accept": false, + "reason": "LoRA model support and safetensors support in a ControlNet inpaint pipeline are separate concerns." + }, + { + "left": "issue:1161", + "right": "issue:1798", + "accept": false, + "reason": "Model conversion from Flax to PyTorch vs a training-script v_prediction limitation are unrelated." + }, + { + "left": "issue:5168", + "right": "issue:7370", + "accept": false, + "reason": "ControlNet-XS support and OpenSora STDiT support are different model integrations." + }, + { + "left": "issue:1451", + "right": "issue:1896", + "accept": false, + "reason": "Different pipeline failures with different symptoms and repros." + }, + { + "left": "issue:12147", + "right": "issue:13203", + "accept": false, + "reason": "Both are LoRA-related, but for different model families and different failure modes." + }, + { + "left": "issue:5567", + "right": "issue:5824", + "accept": false, + "reason": "Accelerator overwriting unet.config and an SDXL add_time_ids default issue 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": 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-50-3013", + "nodes": [ + "issue:10057", + "issue:10066", + "issue:10120", + "issue:1083", + "issue:1106", + "issue:1158", + "issue:11859", + "issue:11978", + "issue:1205", + "issue:12412", + "issue:1811", + "issue:2514", + "issue:2822", + "issue:3405", + "issue:3683", + "issue:3886", + "issue:3891", + "issue:4149", + "issue:4186", + "issue:4217", + "issue:4269", + "issue:4530", + "issue:4665", + "issue:4773", + "issue:5128", + "issue:5258", + "issue:542", + "issue:5595", + "issue:5628", + "issue:5646", + "issue:5989", + "issue:6347", + "issue:6368", + "issue:6536", + "issue:6899", + "issue:7686", + "issue:7931", + "issue:8526", + "issue:8667", + "issue:8873", + "issue:8970", + "issue:9471", + "issue:9645", + "issue:9664", + "issue:9763", + "issue:9793", + "issue:9942", + "issue:9957" + ], + "soft_pairs": [ + "issue:1083|issue:1205", + "issue:1106|issue:542", + "issue:11859|issue:9957", + "issue:1811|issue:4665", + "issue:3405|issue:3683", + "issue:5989|issue:6899", + "issue:9645|issue:9942", + "issue:5258|issue:7931", + "issue:10120|issue:6536", + "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" + ], + "prepared_review_unit_hash": "b72a88f4bf97121ca604bcc2c622bca8123994fd7d8e918ef9d552760e1b4957", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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": "These items are mostly unrelated issues spanning different models, schedulers, loaders, and training paths. The soft-similarity pairs share broad keywords only; none look like the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": "No canonical issue: the set does not form one duplicate cluster, and the paired items are distinct reports with different failure modes or feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue for deduplication: there is no clear representative anchor because the issues are independent rather than variants of one bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1083", + "right": "issue:1205", + "accept": false, + "reason": "Both mention ONNX, but one is incorrect FP16 output and the other is a general conversion request; different problems." + }, + { + "left": "issue:1106", + "right": "issue:542", + "accept": false, + "reason": "PNDM repeated UNet calls vs UNet export to ONNX are unrelated code paths and symptoms." + }, + { + "left": "issue:11859", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler feature/bug reports, but STORK and BDIA-DDIM are different schedulers with different issues." + }, + { + "left": "issue:1811", + "right": "issue:4665", + "accept": false, + "reason": "Both concern weight-file selection, but one is duplicate downloading of bin/safetensors and the other is a Windows-specific use_safetensors failure." + }, + { + "left": "issue:3405", + "right": "issue:3683", + "accept": false, + "reason": "ControlNet training bug vs Multi-ControlNet save_pretrained support are unrelated." + }, + { + "left": "issue:5989", + "right": "issue:6899", + "accept": false, + "reason": "safetensors.torch bug and convert_original_stable_diffusion_to_diffusers.py bug are different components and failure modes." + }, + { + "left": "issue:9645", + "right": "issue:9942", + "accept": false, + "reason": "ImportError for a missing mixin and a pip installation failure are unrelated." + }, + { + "left": "issue:5258", + "right": "issue:7931", + "accept": false, + "reason": "Same pipeline family, but one is refiner compatibility and the other is IP-Adapter embed handling; not the same concrete bug." + }, + { + "left": "issue:10120", + "right": "issue:6536", + "accept": false, + "reason": "Both involve OOM, but DreamBooth+SD3 memory use and UNet3DConditionModel fine-tuning are different scenarios." + }, + { + "left": "issue:11978", + "right": "issue:12412", + "accept": false, + "reason": "Both are model support requests, but Bria 3.2 and HunyuanImage-3.0 are different additions." + }, + { + "left": "issue:8526", + "right": "issue:8970", + "accept": false, + "reason": "Both mention MPS, but ineffective scale handling and black-image output are different bugs." + }, + { + "left": "issue:4186", + "right": "issue:4530", + "accept": false, + "reason": "Inpaint-with-refiner failure and visual artifacts from the refiner are distinct issues." + }, + { + "left": "issue:2514", + "right": "issue:4217", + "accept": false, + "reason": "Both are load-time complaints, but cached pipeline loading and safetensors loading slowdown are not the same issue." + }, + { + "left": "issue:3891", + "right": "issue:6347", + "accept": false, + "reason": "Two separate pipeline feature requests with no shared bug or implementation target." + }, + { + "left": "issue:4149", + "right": "issue:8667", + "accept": false, + "reason": "Tensor mismatch in SemanticStableDiffusionPipeline vs SD3ControlNetModel image-size mismatch are different code paths." + }, + { + "left": "issue:8873", + "right": "issue:9664", + "accept": false, + "reason": "xformers performance regression and a training subprocess failure are unrelated." + }, + { + "left": "issue:5595", + "right": "issue:7686", + "accept": false, + "reason": "One is an input-dimension validation error, the other is a UNet cross-attention configuration error." + }, + { + "left": "issue:10057", + "right": "issue:9763", + "accept": false, + "reason": "Both reference Flux/token handling, but one is from_single_file token loading and the other is training-time truncation beyond 77 tokens." + }, + { + "left": "issue:4773", + "right": "issue:5128", + "accept": false, + "reason": "Both are loading-related, but CivitAI LoRA loading and XLPipeline.from_single_file safetensors loading are different failures." + }, + { + "left": "issue:6368", + "right": "issue:9793", + "accept": false, + "reason": "Checkpoint/lora alpha support error and progress bar update failure are unrelated." + }, + { + "left": "issue:2822", + "right": "issue:4269", + "accept": false, + "reason": "Training convergence lag and a TypeError in check_inputs are not the same bug." + }, + { + "left": "issue:5628", + "right": "issue:5646", + "accept": false, + "reason": "Both scheduler-related, but LMS Karras denoising offset and DPM/UniPC stability issues are different problems." + }, + { + "left": "issue:1158", + "right": "issue:3886", + "accept": false, + "reason": "Test interference and distributed training collective timeout are unrelated." + }, + { + "left": "issue:10066", + "right": "issue:9471", + "accept": false, + "reason": "An attn unpacking ValueError and a resource-type inference error on file extensions are different loader 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": 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-50-3013", + "nodes": [ + "issue:10315", + "issue:1055", + "issue:10653", + "issue:10659", + "issue:10674", + "issue:10749", + "issue:10757", + "issue:10782", + "issue:10887", + "issue:10962", + "issue:11005", + "issue:11022", + "issue:11779", + "issue:11901", + "issue:12299", + 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"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" + ], + "prepared_review_unit_hash": "f9cc45d24642c393f3f98a14e3714ae6c792ac8b202591c13626822814fdbaec", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33464, + "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 not a true duplicate set; it mixes many unrelated issues across training, conversion, scheduler APIs, pipeline support, and masking/loading bugs. No soft edge pair is safe to merge.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue is suitable: the items are heterogeneous and do not describe one underlying bug or change.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "No issue is a strong global representative because the cluster is too broad and internally unrelated.", + "best_pr_reason": "No PRs are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:10653", + "right": "issue:10659", + "accept": false, + "reason": "Bitsandbytes CPU offload error for HunyuanVideoTransformer3DModel vs poor ConsisID output quality; different bugs and code paths." + }, + { + "left": "issue:5002", + "right": "issue:5907", + "accept": false, + "reason": "Both concern scheduler arguments, but one is missing `use_karras_sigmas` and the other is a `prediction_type` docs/API mismatch in a different scheduler." + }, + { + "left": "issue:1895", + "right": "issue:4492", + "accept": false, + "reason": "EMA multi-GPU update bug vs `false` NameError in config/script parsing; unrelated." + }, + { + "left": "issue:9142", + "right": "issue:9704", + "accept": false, + "reason": "Multiple controlnets loading error vs cuDNN frontend execution-plan failure; distinct failures." + }, + { + "left": "issue:4840", + "right": "issue:9052", + "accept": false, + "reason": "FlaxAutoencoderKL checkpoint loading bug vs `from_single_file` failing on certain Civit checkpoints; both loading-related but different conversion paths." + }, + { + "left": "issue:5737", + "right": "issue:9850", + "accept": false, + "reason": "SDXL conversion failure vs gradient checkpointing with frozen model; unrelated functionality." + }, + { + "left": "issue:2026", + "right": "issue:2891", + "accept": false, + "reason": "cpu_offload failure in PaintByExample vs docs/support mismatch for embeds in UpscalePipeline; not the same bug." + }, + { + "left": "issue:3761", + "right": "issue:4314", + "accept": false, + "reason": "Community pipelines loading conflict vs interrupted-download write-protection; unrelated." + }, + { + "left": "issue:3805", + "right": "issue:5984", + "accept": false, + "reason": "Colab CalledProcessError vs fp16 memory/RAM issue in dreambooth; different symptoms and root causes." + }, + { + "left": "issue:5016", + "right": "issue:5984", + "accept": false, + "reason": "SDXL LoRA text-encoder training limitation vs fp16 RAM issue; unrelated training problems." + }, + { + "left": "issue:10962", + "right": "issue:12299", + "accept": false, + "reason": "Prompt-embedding shape issue in Cogview4 vs negative-prompt embedding tensor mismatch in SD3; both embedding-related but not the same concrete bug." + }, + { + "left": "issue:5630", + "right": "issue:9181", + "accept": false, + "reason": "LMS/Karras denoising leftover noise vs a noise dot in ControlNet pipeline; different pipelines and symptoms." + }, + { + "left": "issue:5628", + "right": "issue:8792", + "accept": false, + "reason": "LMS scheduler offset with Karras sigmas vs general image-quality degradation after migration; too broad and not the same defect." + }, + { + "left": "issue:801", + "right": "issue:962", + "accept": false, + "reason": "Attention slicing behavior in inpaint/img2img vs new inpaint pipelines only supporting 512x512; unrelated pipeline limitations." + }, + { + "left": "issue:9023", + "right": "issue:9422", + "accept": false, + "reason": "Generic sample-code runtime failure vs NaNs during custom ControlNet SDXL training; unrelated." + }, + { + "left": "issue:10315", + "right": "issue:8514", + "accept": false, + "reason": "CogVideo training error vs EMAModel/InstructP2P parallel fine-tuning issue; different models and failure modes." + }, + { + "left": "issue:11779", + "right": "issue:9867", + "accept": false, + "reason": "Wan VACE mask padding bug vs FluxInpaintPipeline overwriting pixels outside the mask; both mask-related but different code paths and root causes." + }, + { + "left": "issue:6427", + "right": "issue:7621", + "accept": false, + "reason": "Model conversion .diffusers<->.ckpt issue vs SDXL InstructPix2Pix cosxl_edit incompatibility; unrelated." + }, + { + "left": "issue:1055", + "right": "issue:3816", + "accept": false, + "reason": "Missing `LatentDiffusionPipeline` vs missing `transformers.CLIPImageProcessor`; both import errors but for different symbols and packages." + }, + { + "left": "issue:10674", + "right": "issue:10749", + "accept": false, + "reason": "Flux GGUF support failure vs Lumina2 GGUF support request; same general theme, but different pipelines/models and not one concrete bug." + }, + { + "left": "issue:10757", + "right": "issue:7147", + "accept": false, + "reason": "Variable rename in conversion script vs missing `StableCascadeDecoderPipeline` import; unrelated." + }, + { + "left": "issue:10782", + "right": "issue:11005", + "accept": false, + "reason": "Lumina Image 2.0 minor issue vs WAN pipeline default/docstring discrepancy; unrelated." + }, + { + "left": "issue:10887", + "right": "issue:9241", + "accept": false, + "reason": "Missing `StableDiffusionXLTrainer` import vs XLab LoRA conversion script request; unrelated." + }, + { + "left": "issue:11022", + "right": "issue:11901", + "accept": false, + "reason": "Quanto support for WAN 2.1 transformation vs loading a specific LoRA into a WAN2.1 pipeline; different model-loading/quantization 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": 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-50-3013", + "nodes": [ + "issue:1117", + "issue:11214", + "issue:11321", + "issue:11833", + "issue:11867", + "issue:12071", + "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:2613", + "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:3788", + "issue:3951", + "issue:4057", + "issue:4405", + "issue:4580", + "issue:5026", + "issue:6331", + "issue:6548", + "issue:6949", + "issue:7119", + "issue:713", + "issue:7392", + "issue:7798", + "issue:8887", + "issue:9320", + "issue:938" + ], + "soft_pairs": [ + "issue:1117|issue:2613", + "issue:11214|issue:12071", + "issue:11321|issue:7798", + "issue:11833|issue:9320", + "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" + ], + "prepared_review_unit_hash": "53ecdb58c29f4505923a7934c80445acf441520c9c837bd204d0e8492fb8828f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33458, + "estimated_input_tokens": 8365, + "estimated_eval_tokens": 16986 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a heterogeneous mix of unrelated bugs, feature requests, docs, and questions. None of the soft pairs look like true duplicates of the same underlying issue, so no canonical item stands out.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated topics and failure modes, so there is no single issue that represents the cluster well.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong global anchor for this cluster because the entries are not a duplicate set and cover unrelated subsystems and request types.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1117", + "right": "issue:2613", + "accept": false, + "reason": "Test coverage request for negative prompts vs feature request for multiple LoRA layers; different change scope." + }, + { + "left": "issue:11214", + "right": "issue:12071", + "accept": false, + "reason": "Different model/code paths: UVit2DModel encoder_hidden_states TypeError vs flux kontext transformer forward behavior change." + }, + { + "left": "issue:11321", + "right": "issue:7798", + "accept": false, + "reason": "README bug for flux controlnet training vs PixArtAlphaPipeline bug; unrelated issues." + }, + { + "left": "issue:11833", + "right": "issue:9320", + "accept": false, + "reason": "LoRA device KeyError vs custom diffusion save/load bug; distinct model-management failures." + }, + { + "left": "issue:11867", + "right": "issue:8887", + "accept": false, + "reason": "A question about control SD3 vs a specific wrong VAE encode training bug; not the same problem." + }, + { + "left": "issue:1379", + "right": "issue:3062", + "accept": false, + "reason": "Repeated operation in Transformer2DModel vs a docstring correctness question; one is code behavior, the other documentation." + }, + { + "left": "issue:1440", + "right": "issue:2614", + "accept": false, + "reason": "Deleting cached model vs changing pretrained-model download directory; unrelated cache/config topics." + }, + { + "left": "issue:1611", + "right": "issue:5026", + "accept": false, + "reason": "Both are regressions, but they affect different pipelines and error signatures, so they are not the same bug." + }, + { + "left": "issue:1730", + "right": "issue:4057", + "accept": false, + "reason": "Converted ckpt compatibility problem vs blurred finetuned inpainting output; different symptoms and likely causes." + }, + { + "left": "issue:1805", + "right": "issue:938", + "accept": false, + "reason": "General diffusion pipeline request vs text-to-motion model proposal; different feature areas." + }, + { + "left": "issue:1896", + "right": "issue:337", + "accept": false, + "reason": "CLIP-guided Stable Diffusion size/dict error vs img2img/text-guided inpainting problem; different failing code paths." + }, + { + "left": "issue:1985", + "right": "issue:2838", + "accept": false, + "reason": "Loading new embeddings vs asking for a ControlNet pipeline variant; unrelated functionality." + }, + { + "left": "issue:1990", + "right": "issue:2015", + "accept": false, + "reason": "Two separate pipeline proposals for different tasks; not the same underlying change." + }, + { + "left": "issue:2312", + "right": "issue:4580", + "accept": false, + "reason": "EMA save-hook error during training vs UniPC scheduler exception with karras sigmas; different components." + }, + { + "left": "issue:2351", + "right": "issue:6548", + "accept": false, + "reason": "Missing get_velocity on a scheduler vs RGBA latents handling in img2img; separate bugs." + }, + { + "left": "issue:2412", + "right": "issue:713", + "accept": false, + "reason": "Dreambooth-specific training error vs a generic training error report; too broad and not the same failure." + }, + { + "left": "issue:2689", + "right": "issue:7119", + "accept": false, + "reason": "Broken image link vs invalid docs link; both documentation issues but not duplicates." + }, + { + "left": "issue:3017", + "right": "issue:3412", + "accept": false, + "reason": "Different documentation requests for different topics; not the same doc change." + }, + { + "left": "issue:3065", + "right": "issue:4405", + "accept": false, + "reason": "DreamBooth LoRA text-encoder tuning vs SDXL textual inversion training script; different examples and objectives." + }, + { + "left": "issue:3176", + "right": "issue:3951", + "accept": false, + "reason": "TensorRT demo error vs UniDiffuser NaNs; unrelated models and failure modes." + }, + { + "left": "issue:3291", + "right": "issue:7392", + "accept": false, + "reason": "Both mention aspect ratios, but one is about DeepFloyd and the other SDXL training; not the same bug." + }, + { + "left": "issue:3444", + "right": "issue:3788", + "accept": false, + "reason": "Audio-to-image integration request vs a new controllable generation pipeline proposal; distinct features." + }, + { + "left": "issue:3487", + "right": "issue:6949", + "accept": false, + "reason": "Different scheduler-related generation issues with different symptoms; not one concrete bug." + }, + { + "left": "issue:3730", + "right": "issue:6331", + "accept": false, + "reason": "Wrong timestep in inpainting blending vs SAG for inpainting; related area but different underlying 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": 275, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:3765", + "issue:3805", + "issue:3826", + "issue:3891", + "issue:4075", + "issue:4186", + "issue:4213", + "issue:4524", + "issue:4648", + "issue:4668", + "issue:4672", + "issue:4680", + "issue:4803", + "issue:4872", + "issue:4991", + "issue:5258", + "issue:5285", + "issue:5598", + "issue:5783", + "issue:5866", + "issue:5956", + "issue:5980", + "issue:5981", + "issue:6055", + "issue:6132", + "issue:6141", + "issue:6242", + "issue:6354", + "issue:6359", + "issue:6439", + "issue:6481", + "issue:6524", + "issue:6725", + "issue:6928", + "issue:6958", + "issue:7341", + "issue:7405", + "issue:7879", + "issue:8241", + "issue:8390", + "issue:8540", + "issue:8588", + "issue:8906", + "issue:9350", + "issue:9396", + "issue:9488", + "issue:962", + "issue:9958" + ], + "soft_pairs": [ + "issue:3765|issue:5956", + "issue:3805|issue:4872", + "issue:3826|issue:7405", + "issue:3891|issue:6132", + "issue:4075|issue:4803", + "issue:4186|issue:962", + "issue:4213|issue:6055", + "issue:4524|issue:5866", + "issue:4648|issue:8906", + "issue:4668|issue:6524", + "issue:4672|issue:8540", + "issue:4680|issue:5980", + "issue:4991|issue:6958", + "issue:5258|issue:8241", + "issue:5285|issue:6928", + "issue:5598|issue:5981", + "issue:5783|issue:8588", + "issue:6141|issue:8390", + "issue:6242|issue:7879", + "issue:6354|issue:9958", + "issue:6359|issue:7341", + "issue:6439|issue:9396", + "issue:6481|issue:9350", + "issue:6725|issue:9488" + ], + "prepared_review_unit_hash": "a383357d5227787a3ce26f983d867bdb83d40905dd4f1501393abfcf8cf4cae7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33331, + "estimated_input_tokens": 8333, + "estimated_eval_tokens": 16922 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated feature requests, docs issues, training bugs, and model/pipeline-specific problems. None of the soft-similarity pairs look like the same underlying bug or change, so all should be rejected 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:3765", + "right": "issue:5956", + "accept": false, + "reason": "Both mention SD-XL training/image degradation, but one is about ControlNet stacking artifacts and the other about U-Net fine-tuning performance; different failure modes and likely different fixes." + }, + { + "left": "issue:3805", + "right": "issue:4872", + "accept": false, + "reason": "Colab CalledProcessError is an execution/setup failure, while the other is GPU out-of-memory during SDXL finetuning; unrelated causes." + }, + { + "left": "issue:3826", + "right": "issue:7405", + "accept": false, + "reason": "Both are new model/pipeline requests, but for different audio/video workflows and no shared code-path problem." + }, + { + "left": "issue:3891", + "right": "issue:6132", + "accept": false, + "reason": "Tortoise TTS pipeline request is unrelated to the nn.Module LOADABLE_CLASSES issue." + }, + { + "left": "issue:4075", + "right": "issue:4803", + "accept": false, + "reason": "A docstring typo is not the same as a missing requirements file error." + }, + { + "left": "issue:4186", + "right": "issue:962", + "accept": false, + "reason": "SDXL inpaint with refiner and old inpaint-size limitations are different pipeline bugs in different generations." + }, + { + "left": "issue:4213", + "right": "issue:6055", + "accept": false, + "reason": "SDXL from_single_file without accelerate and a generic accelerate error are not the same concrete bug." + }, + { + "left": "issue:4524", + "right": "issue:5866", + "accept": false, + "reason": "AnimateDiff pipeline request and AnimateDiff+ControlNet are related only by subsystem, not the same underlying change." + }, + { + "left": "issue:4648", + "right": "issue:8906", + "accept": false, + "reason": "Missing config.json for ControlNet checkpoint loading is unrelated to a missing qk_norm attribute in SD3Transformer2DModel." + }, + { + "left": "issue:4668", + "right": "issue:6524", + "accept": false, + "reason": "Weird LoRA images and second-load LoRA malfunction describe different LoRA failure modes." + }, + { + "left": "issue:4672", + "right": "issue:8540", + "accept": false, + "reason": "VRAM reduction for SDXL LoRA training is not the same as caching embeddings/VAE representations for SD3 dreambooth." + }, + { + "left": "issue:4680", + "right": "issue:5980", + "accept": false, + "reason": "SDXL inpainting fine-tuning and ControlNet SDXL output file format are unrelated." + }, + { + "left": "issue:4991", + "right": "issue:6958", + "accept": false, + "reason": "Missing train_dataloader in accelerate.prepare() and use_linear_projection/mid_block mismatch in unet_motion_model are different training/model bugs." + }, + { + "left": "issue:5258", + "right": "issue:8241", + "accept": false, + "reason": "SDXL ControlNet Inpaint with refiner and LEDITS++ abnormal model size are unrelated issues." + }, + { + "left": "issue:5285", + "right": "issue:6928", + "accept": false, + "reason": "Docs translation request and Marigold depthmap colorization option are unrelated feature requests." + }, + { + "left": "issue:5598", + "right": "issue:5981", + "accept": false, + "reason": "_modify_text_encoder bug and DPMSolverMultistepScheduler bug touch different components and behaviors." + }, + { + "left": "issue:5783", + "right": "issue:8588", + "accept": false, + "reason": "EMA not working in an SDXL training script and a missing SD3 conversion script are unrelated." + }, + { + "left": "issue:6141", + "right": "issue:8390", + "accept": false, + "reason": "ControlNet control_mode/resize_mode support and Stable Cascade ControlNet training are different feature requests." + }, + { + "left": "issue:6242", + "right": "issue:7879", + "accept": false, + "reason": "Request for fill50k logs and a pokemon captions dataset are not duplicate bugs or changes." + }, + { + "left": "issue:6354", + "right": "issue:9958", + "accept": false, + "reason": "Add LoRA support for ControlNet and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:6359", + "right": "issue:7341", + "accept": false, + "reason": "EulerDiscreteScheduler velocity/add_noise bug is unrelated to a TorchVersion vs Version comparison error." + }, + { + "left": "issue:6439", + "right": "issue:9396", + "accept": false, + "reason": "A broken fp16 doc link and Korean docs translation are unrelated documentation items." + }, + { + "left": "issue:6481", + "right": "issue:9350", + "accept": false, + "reason": "Dreambooth batch-size bug and txt_ids deprecation warning concern different training code paths." + }, + { + "left": "issue:6725", + "right": "issue:9488", + "accept": false, + "reason": "LDMPipeline image generation request and Lumina pipeline failure are unrelated 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": 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-50-3013", + "nodes": [ + "issue:10191", + "issue:11208", + "issue:12012", + "issue:13073", + "issue:1323", + "issue:13300", + "issue:1495", + "issue:1608", + "issue:1672", + "issue:1946", + "issue:2578", + "issue:3116", + "issue:3222", + "issue:3338", + "issue:3908", + "issue:4043", + "issue:4297", + "issue:4356", + "issue:4615", + "issue:4646", + "issue:5281", + "issue:5433", + "issue:5619", + "issue:5770", + "issue:6351", + "issue:6742", + "issue:6949", + 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"issue:11208|issue:7660", + "issue:4297|issue:5433" + ], + "prepared_review_unit_hash": "19c76a77ffe060e958ac1c481654d14a1c82ac4b0cc79a944ed51124758d8667", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34528, + "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 heterogeneous: the soft-similarity pairs mostly share only broad subsystem keywords (ControlNet, LoRA, scheduler, training, import/load) but not the same concrete bug or change. I would not merge any of the candidate pairs, and there is no clear canonical issue/PR for the whole set.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6949", + "right": "issue:9007", + "accept": false, + "reason": "Both are DPMSolverSinglestepScheduler artifacts, but one is blank images at even steps and the other is black output with 3rd-order settings; different failure modes and likely different fixes." + }, + { + "left": "issue:7636", + "right": "issue:8405", + "accept": false, + "reason": "Both mention multiple ControlNets, but 7636 is a usage question for SDXL tile ControlNet while 8405 is a tensor-size error with multiple controlnets; not the same bug." + }, + { + "left": "issue:8320", + "right": "issue:9846", + "accept": false, + "reason": "8320 is a from_single_file attribute error on AutoencoderKL, while 9846 is a feature request for FluxControlNetModel support in from_single_file; not duplicate." + }, + { + "left": "issue:8960", + "right": "issue:9850", + "accept": false, + "reason": "Different training concerns: gradient accumulation is nonfunctional versus enabling gradient checkpointing with a frozen model." + }, + { + "left": "issue:9178", + "right": "issue:9361", + "accept": false, + "reason": "Both involve Flux LoRA, but one is a PEFT target-modules training error and the other is LoRA having no effect at inference; different code paths." + }, + { + "left": "issue:9902", + "right": "issue:9962", + "accept": false, + "reason": "Unrelated: one is a Conda version pinning/stuck issue, the other is an unexpected use_cuda_graph keyword argument." + }, + { + "left": "issue:7636", + "right": "issue:9495", + "accept": false, + "reason": "Both are advanced conditioning-related questions, but 7636 is about using SDXL ControlNet tile models and 9495 is SDXL PAG with IPAdapter; different problems." + }, + { + "left": "issue:12012", + "right": "issue:9471", + "accept": false, + "reason": "Completely different failures: Wan 2.2 context-state ValueError versus CoreML file-extension/resource-type inference error." + }, + { + "left": "issue:8429", + "right": "issue:9112", + "accept": false, + "reason": "Different models and errors: I2VGen-XL inference script issues versus an Auraflow tensor shape mismatch." + }, + { + "left": "issue:3116", + "right": "issue:3908", + "accept": false, + "reason": "Scheduler noise in image2image is unrelated to caching a model in Streamlit." + }, + { + "left": "issue:7054", + "right": "issue:7592", + "accept": false, + "reason": "Both concern adapter loading, but one empties the passed state_dict and the other misses DoRA keys; distinct underlying bugs." + }, + { + "left": "issue:10191", + "right": "issue:9602", + "accept": false, + "reason": "GPU-device selection during training is unrelated to adapter-name validation in a loaded model." + }, + { + "left": "issue:1608", + "right": "issue:1946", + "accept": false, + "reason": "Training stopping at 500 steps on T4 is unrelated to a CUDA xformers invalid-argument error." + }, + { + "left": "issue:4043", + "right": "issue:5619", + "accept": false, + "reason": "SDXL prompt-embed/pooled-embed requirements are unrelated to AutoencodeTiny failing for LCM img2img encode." + }, + { + "left": "issue:13073", + "right": "issue:13300", + "accept": false, + "reason": "Different issues: ZImageControlNet guidance_scale support versus CPU inference failures for SD3.5/FLUX." + }, + { + "left": "issue:6742", + "right": "issue:9850", + "accept": false, + "reason": "Both mention checkpointing, but 6742 is behavior divergence in DownBlockMotion and 9850 is enabling checkpointing with frozen models; not same bug." + }, + { + "left": "issue:1495", + "right": "issue:2578", + "accept": false, + "reason": "Importing init_git_repo and editable-install problems are separate packaging/import failures." + }, + { + "left": "issue:1672", + "right": "issue:3222", + "accept": false, + "reason": "Wrong image size after ckpt-to-diffusers conversion is unrelated to missing custom diffusion weight output." + }, + { + "left": "issue:5281", + "right": "issue:8523", + "accept": false, + "reason": "Different device/runtime issues: CPU offload across XL pipelines versus a generic playground CUDA error." + }, + { + "left": "issue:5770", + "right": "issue:6351", + "accept": false, + "reason": "Dataset access preventing LCM distill run is unrelated to a DistributedDataParallel disable_adapters attribute error." + }, + { + "left": "issue:1323", + "right": "issue:4615", + "accept": false, + "reason": "Flax dtype-loading behavior and a missing StableDiffusionControlnetPipeline import are unrelated." + }, + { + "left": "issue:3338", + "right": "issue:4356", + "accept": false, + "reason": "Import slowness and a missing dummy module are different packaging/runtime problems." + }, + { + "left": "issue:4646", + "right": "issue:746", + "accept": false, + "reason": "Both involve ONNX/export/loading, but one is ControlNet conversion failure and the other is an img2img ONNX revision loading issue." + }, + { + "left": "issue:11208", + "right": "issue:7660", + "accept": false, + "reason": "MultiControlNet support for SD3ControlNetInpaintingPipeline is unrelated to a trace example not working." + }, + { + "left": "issue:4297", + "right": "issue:5433", + "accept": false, + "reason": "Both report visual artifacts, but one is batched SDXL img2img fishnet artifacts and the other is DPM++/SDXL artifacts without refiner; different reproduction conditions and 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": 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-50-3013", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10596", + "issue:10653", + "issue:1076", + "issue:1083", + "issue:10869", + "issue:10940", + "issue:11241", + "issue:11519", + "issue:11574", + "issue:12025", + "issue:12060", + "issue:12299", + "issue:12319", + "issue:12373", + "issue:12489", + "issue:12505", + "issue:12535", + "issue:12754", + "issue:13279", + "issue:13488", + "issue:1440", + "issue:1534", + "issue:1633", + "issue:193", + "issue:1934", + "issue:2153", + "issue:2437", + "issue:2763", + "issue:2858", + "issue:3401", + "issue:4059", + "issue:4104", + "issue:4551", + "issue:4631", + "issue:4646", + "issue:5953", + "issue:6533", + "issue:7223", + "issue:7370", + "issue:7629", + "issue:7895", + "issue:7935", + "issue:8552", + "issue:9007", + "issue:9516", + "issue:968" + ], + "soft_pairs": [ + "issue:1534|issue:193", + "issue:1083|issue:4646", + "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" + ], + "prepared_review_unit_hash": "1bdeb3c57fb1db68b50df539db1093f5f080438b3c053626a44bdf2b6a7ced3a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33824, + "estimated_input_tokens": 8456, + "estimated_eval_tokens": 17168 + }, + "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 feature requests, model-loading errors, scheduler bugs, and offloading regressions. The soft edges are mostly title-level similarity and 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:1534", + "right": "issue:193", + "accept": false, + "reason": "Both are generic runtime problems, but one is a Dreambooth notebook error and the other is an unspecific pipeline error; no shared concrete bug." + }, + { + "left": "issue:1083", + "right": "issue:4646", + "accept": false, + "reason": "ONNX wrong-output bug vs ONNX conversion failure; related area, but different failure modes and likely different fixes." + }, + { + "left": "issue:12319", + "right": "issue:13488", + "accept": false, + "reason": "Both mention offloading, but one is a block-level offloading regression and the other is a version-wide breakage claim; too broad to be the same bug." + }, + { + "left": "issue:2437", + "right": "issue:6533", + "accept": false, + "reason": "Two separate feature requests for different pipelines; no duplicate problem or mergeable change." + }, + { + "left": "issue:4631", + "right": "issue:9007", + "accept": false, + "reason": "Same scheduler family, but one is a scalar-conversion exception and the other is black output with order 3; different concrete bugs." + }, + { + "left": "issue:5953", + "right": "issue:7629", + "accept": false, + "reason": "ControlNet image/control size crash vs PyTorch 1.13.1 OOM in SVD; unrelated issues." + }, + { + "left": "issue:10869", + "right": "issue:12299", + "accept": false, + "reason": "Both are tensor-shape/metadata problems, but one is meta-tensor item() usage and the other is SD3 prompt-embedding mismatch; different code paths." + }, + { + "left": "issue:11241", + "right": "issue:8552", + "accept": false, + "reason": "Floating-point exception in Flux ControlNet training vs segmentation fault in TextToVideoZero inference; not the same bug." + }, + { + "left": "issue:2153", + "right": "issue:4104", + "accept": false, + "reason": "Float16 GPU incompatibility vs black image output/cast warning; different symptoms and likely unrelated fixes." + }, + { + "left": "issue:1934", + "right": "issue:2763", + "accept": false, + "reason": "VRAM/offload memory complaint vs ControlNet cuDNN benchmark memory increase; not the same underlying issue." + }, + { + "left": "issue:3401", + "right": "issue:4551", + "accept": false, + "reason": "Class-label validation error during training vs SDXL Dreambooth crash; separate model/training problems." + }, + { + "left": "issue:7223", + "right": "issue:7370", + "accept": false, + "reason": "Different video-model feature requests (Latte vs STDiT/OpenSora support); not duplicates." + }, + { + "left": "issue:10653", + "right": "issue:12489", + "accept": false, + "reason": "8-bit `.to()`/device-move limitation vs CUDA sm_120 kernel compatibility error; unrelated failures." + }, + { + "left": "issue:10281", + "right": "issue:11519", + "accept": false, + "reason": "Two unrelated feature requests for different models/schedulers (FreeScale vs MAGI-1)." + }, + { + "left": "issue:1440", + "right": "issue:968", + "accept": false, + "reason": "Model cache deletion request vs slow model loading; different concerns." + }, + { + "left": "issue:1633", + "right": "issue:2858", + "accept": false, + "reason": "Karras sigmas support vs seeding image for unclip img2img; separate feature requests." + }, + { + "left": "issue:7895", + "right": "issue:9516", + "accept": false, + "reason": "Flax memory-efficient attention bug vs FLUX joint_attention_kwargs not forwarded; different implementations and fixes." + }, + { + "left": "issue:10282", + "right": "issue:11574", + "accept": false, + "reason": "Shape mismatch while loading x_embedder weights vs missing VAE key; both load-time errors, but not the same missing tensor." + }, + { + "left": "issue:12505", + "right": "issue:12754", + "accept": false, + "reason": "tgate img2img error vs `from_pipe` dtype conversion behavior; unrelated pipeline issues." + }, + { + "left": "issue:12535", + "right": "issue:13279", + "accept": false, + "reason": "Wan2.2 LoRA load failure vs AutoencoderRAE loading with older transformers; different models and incompatibilities." + }, + { + "left": "issue:10596", + "right": "issue:12025", + "accept": false, + "reason": "FluxControlPipeline shape error vs Cosmos VAE encoder API error; not the same code path." + }, + { + "left": "issue:1076", + "right": "issue:4059", + "accept": false, + "reason": "General Stable Diffusion v1.5 question vs ControlNet reference pipeline bug/question; unrelated." + }, + { + "left": "issue:10940", + "right": "issue:7935", + "accept": false, + "reason": "Missing optional dependency (`triton.ops`) vs missing model config file; different loading failures." + }, + { + "left": "issue:12060", + "right": "issue:12373", + "accept": false, + "reason": "Question about whether a DiT block exists vs proposal for an Unlearn API; not the same issue 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": 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-50-3013", + "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:12221", + "issue:12319", + "issue:13430", + "issue:1811", + "issue:2097", + "issue:2392", + "issue:2437", + "issue:2967", + "issue:3347", + "issue:3622", + "issue:3698", + "issue:3876", + "issue:4720", + "issue:4767", + "issue:5546", + "issue:5607", + "issue:5777", + "issue:5907", + "issue:5927", + "issue:599", + "issue:6073", + "issue:6964", + "issue:7056", + "issue:725", + "issue:7264", + "issue:7538", + "issue:7732", + "issue:7950", + "issue:8277", + "issue:8824", + "issue:8832", + "issue:9109", + "issue:9161", + "issue:9171", + "issue:9464", + "issue:9558" + ], + "soft_pairs": [ + "issue:12221|issue:13430", + "issue:5546|issue:7732", + "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" + ], + "prepared_review_unit_hash": "2e04e9500349a2c1eafa44cc7df930c0a8de3ed5c65ddf2c8c8e1dea128d844e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34146, + "estimated_input_tokens": 8537, + "estimated_eval_tokens": 17330 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated Diffusers issues/feature requests across different models, schedulers, training scripts, and docs. Only the two UNet1D reports look like the same underlying runtime problem; the rest should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:2967 is the clearest representative of the only plausible duplicate pair, with the most explicit UNet1D runtime-failure framing.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2967 is the strongest anchor for triage because it describes the UNet1D failure more concretely than the other UNet1D report and is the better duplicate representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12221", + "right": "issue:13430", + "accept": false, + "reason": "Both are feature/support requests, but they target different models and changes: DiffSynth ControlNet support vs JoyAI-Image-Edit support." + }, + { + "left": "issue:5546", + "right": "issue:7732", + "accept": false, + "reason": "Both involve SDXL/refiner/controlnet areas, but one is a scheduler step-count bug and the other is a runtime error with ControlNet+Refiner." + }, + { + "left": "issue:599", + "right": "issue:725", + "accept": false, + "reason": "Related to model loading/memory, but one asks for Deepspeed integration and the other for device-map/accelerate loading support." + }, + { + "left": "issue:3876", + "right": "issue:6964", + "accept": false, + "reason": "Both touch inpainting/controlnet, but they are different failures: a demo error vs incompatibility with 4-channel UNets." + }, + { + "left": "issue:1070", + "right": "issue:4720", + "accept": false, + "reason": "Both are inpainting-related, but the concrete bugs differ: an inpainting version regression vs AutoencoderTiny compatibility." + }, + { + "left": "issue:7538", + "right": "issue:8824", + "accept": false, + "reason": "Both are dataset/training questions, but they concern different workflows: Fill50k-style training vs instruct-pix2pix dataset creation." + }, + { + "left": "issue:2437", + "right": "issue:5927", + "accept": false, + "reason": "These are separate feature requests for different adapter types and pipeline combinations; same broad area, not the same change." + }, + { + "left": "issue:7950", + "right": "issue:8832", + "accept": false, + "reason": "Different problems entirely: a PyTorch/Diffusers compatibility issue vs a generic pipeline crash when indexing images." + }, + { + "left": "issue:10514", + "right": "issue:10659", + "accept": false, + "reason": "Different model-specific issues: Sana resolution binning limits vs ConsisID poor generation quality." + }, + { + "left": "issue:10920", + "right": "issue:9171", + "accept": false, + "reason": "Different scheduler/loader bugs with different triggers and code paths; not the same underlying defect." + }, + { + "left": "issue:12022", + "right": "issue:9109", + "accept": false, + "reason": "Unrelated dependency/interface failures: flash-attention 3 API incompatibility vs missing torchvision::nms operator." + }, + { + "left": "issue:9161", + "right": "issue:9464", + "accept": false, + "reason": "Both are about training Flux LoRA, but the concrete failures differ: distributed bugs vs an IndexError with prodigy and train_text_encoder." + }, + { + "left": "issue:2392", + "right": "issue:3347", + "accept": false, + "reason": "One is an input-validation error around prompt_embeds, the other is NaN image output; different symptoms and likely different causes." + }, + { + "left": "issue:10282", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-shape failures, but the titles indicate different code paths and different mismatched dimensions." + }, + { + "left": "issue:10450", + "right": "issue:10591", + "accept": false, + "reason": "Architecture comparison for Flux blocks vs an sd3 LoRA training-script bug; not the same bug or change." + }, + { + "left": "issue:10950", + "right": "issue:12319", + "accept": false, + "reason": "Documentation breakage and group offloading behavior are unrelated issues." + }, + { + "left": "issue:1195", + "right": "issue:1811", + "accept": false, + "reason": "Different components: memory-efficient attention with fp16 weights vs from_pretrained downloading both weight formats." + }, + { + "left": "issue:3622", + "right": "issue:5777", + "accept": false, + "reason": "A tutorial import error and a PixArt DreamBooth training error are unrelated." + }, + { + "left": "issue:3698", + "right": "issue:7264", + "accept": false, + "reason": "Different feature areas: model conversion to Diffusers vs serialization/loading of custom transformers models." + }, + { + "left": "issue:2097", + "right": "issue:2967", + "accept": true, + "reason": "Both titles describe the same UNet1D failure to run, with no meaningful distinction in component or symptom from the titles." + }, + { + "left": "issue:6073", + "right": "issue:7056", + "accept": false, + "reason": "A beginner DreamBooth SDXL setup error is not the same as an LoRA fine-tuning error involving train_text_encoder." + }, + { + "left": "issue:10411", + "right": "issue:8277", + "accept": false, + "reason": "Training-script usage question vs convergence problem; different issue types and likely different causes." + }, + { + "left": "issue:4767", + "right": "issue:5907", + "accept": false, + "reason": "Scheduler prediction_type support question vs DDPMScheduler docs/API mismatch; not the same bug." + }, + { + "left": "issue:12216", + "right": "issue:9558", + "accept": false, + "reason": "One is about Qwen-Image-Edit quality compared to ComfyUI, the other about black validation images in tensorboard." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The UNet1D pair is a plausible duplicate anchor, and the other soft-edge rejections stay appropriately cautious given 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": 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-50-3013", + "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:3238", + "issue:3251", + "issue:3574", + "issue:3799", + "issue:3861", + "issue:3948", + "issue:4264", + "issue:4391", + "issue:4605", + "issue:4665", + "issue:4724", + "issue:487", + "issue:5216", + "issue:5334", + "issue:5553", + "issue:5578", + "issue:6176", + "issue:6457", + "issue:6574", + "issue:6811", + "issue:6880", + "issue:6958", + "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:3251|issue:6958", + "issue:3574|issue:4665", + "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" + ], + "prepared_review_unit_hash": "1aa0323824e5839e5dfba33f5d84ce0551c18e9c4196b6e79fd87b094a59bd55", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34099, + "estimated_input_tokens": 8525, + "estimated_eval_tokens": 17306 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated Diffusers issues, feature requests, and documentation items. None of the soft pairs look like the same underlying bug or change, so there is no defensible canonical item here.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3251", + "right": "issue:6958", + "accept": false, + "reason": "Different models and failures: ControlNet Shuffle CFG-side behavior vs a missing unet_motion_model flag in mid_block." + }, + { + "left": "issue:3574", + "right": "issue:4665", + "accept": false, + "reason": "Both are Windows-related, but one is from_ckpt conversion behavior and the other is use_safetensors file selection with alternate bin files." + }, + { + "left": "issue:4724", + "right": "issue:8393", + "accept": false, + "reason": "Img2img correctness on SDXL vs slow checkpoint shard loading; different code paths and symptom classes." + }, + { + "left": "issue:1556", + "right": "issue:3948", + "accept": false, + "reason": "Different image-quality symptoms with no shared concrete failure mode: black images/NSFW warning vs pale outputs." + }, + { + "left": "issue:2444", + "right": "issue:6880", + "accept": false, + "reason": "Different scripts and errors: dreambooth inpaint training failure vs custom diffusion retrieve.py issue." + }, + { + "left": "issue:1931", + "right": "issue:984", + "accept": false, + "reason": "Separate tensor problems: float16 dtype mismatch in Stable Diffusion 2 vs interpolate breaking for large batch size." + }, + { + "left": "issue:5216", + "right": "issue:7589", + "accept": false, + "reason": "Different pipelines and bugs: GLIGEN inpainting 0-d tensor iteration vs GLIGEN layout-to-image not working." + }, + { + "left": "issue:5553", + "right": "issue:6176", + "accept": false, + "reason": "Custom model loading failure is not the same as failing to load LoRA weights after dreambooth_lora training." + }, + { + "left": "issue:12359", + "right": "issue:13446", + "accept": false, + "reason": "Documentation note about guidance_scale is unrelated to the security/trust check for custom_pipeline." + }, + { + "left": "issue:1037", + "right": "issue:280", + "accept": false, + "reason": "Unrelated additions: Stable Diffusion Telephone community pipeline vs DEIS scheduler implementation." + }, + { + "left": "issue:11448", + "right": "issue:8943", + "accept": false, + "reason": "Missing model path in fusing/stable-unclip-2-1-h-img2img is unrelated to a libtorch shared-library install failure." + }, + { + "left": "issue:2068", + "right": "issue:3238", + "accept": false, + "reason": "from_pretrained dtype conversion behavior and LoRA safetensor conversion are different features with different targets." + }, + { + "left": "issue:2534", + "right": "issue:4605", + "accept": false, + "reason": "Scheduler switching error is unrelated to the long-prompt-weighting inpaint model error." + }, + { + "left": "issue:2761", + "right": "issue:4391", + "accept": false, + "reason": "Both are docs issues, but they concern different parameters in different pipelines and are not the same change." + }, + { + "left": "issue:4264", + "right": "issue:8588", + "accept": false, + "reason": "Missing example images and a missing SD3 conversion script are unrelated documentation/file issues." + }, + { + "left": "issue:5334", + "right": "issue:6457", + "accept": false, + "reason": "Both involve training infrastructure, but one is about Accelerate APIs and the other about gradient accumulation in SDXL-LoRA." + }, + { + "left": "issue:5578", + "right": "issue:6811", + "accept": false, + "reason": "A generic missing model_index.json error is not the same as a specific 404 for the i2vgen-xl model file." + }, + { + "left": "issue:7421", + "right": "issue:7519", + "accept": false, + "reason": "Seed reproducibility in KDiffusion is unrelated to XFormers ignoring cross_attention_kwargs['scale']." + }, + { + "left": "issue:9188", + "right": "issue:9599", + "accept": false, + "reason": "Flux outpainting feature request vs asking for a LoRA-only finetune example; related model family, but not the same item." + }, + { + "left": "issue:10653", + "right": "issue:11872", + "accept": false, + "reason": "One is an unsupported .to() on an 8bit bitsandbytes module, the other is a CPU/GPU offloading inefficiency." + }, + { + "left": "issue:255", + "right": "issue:487", + "accept": false, + "reason": "Completely different bugs: size-divisibility error in StableDiffusionPipeline vs M1 CPU incompatibility." + }, + { + "left": "issue:3799", + "right": "issue:3861", + "accept": false, + "reason": "Different API concerns: incorrect inferred type for DDPMScheduler.from_pretrained vs a Pipeline.from_pretrained naming question." + }, + { + "left": "issue:7056", + "right": "issue:8477", + "accept": false, + "reason": "Training errors in different scripts: SDXL LoRA train_text_encoder failure vs a DDP error in a research consistency script." + }, + { + "left": "issue:2201", + "right": "issue:6574", + "accept": false, + "reason": "Tokenizer padding behavior and an SVD pipeline tensor warning are unrelated pipeline-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": 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-50-3013", + "nodes": [ + "issue:10085", + "issue:10111", + "issue:10204", + "issue:10210", + "issue:10475", + "issue:10518", + "issue:10917", + "issue:1127", + "issue:11432", + "issue:1207", + "issue:12781", + "issue:13249", + "issue:1750", + "issue:2402", + "issue:2880", + "issue:2891", + "issue:3081", + "issue:3366", + "issue:3450", + "issue:3481", + "issue:3954", + "issue:3978", + "issue:4198", + "issue:4217", + "issue:4480", + "issue:4668", + "issue:5215", + "issue:5392", + "issue:5693", + "issue:590", + "issue:5989", + "issue:6250", + "issue:6256", + "issue:6354", + "issue:6452", + "issue:7054", + "issue:7142", + "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:3954|issue:590", + "issue:2891|issue:5215", + "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" + ], + "prepared_review_unit_hash": "c39b46bc5b4f125665b21e17a1d2d6765c0951a74c8330410ef1e0a5e4ed5175", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33736, + "estimated_input_tokens": 8434, + "estimated_eval_tokens": 17124 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of mostly unrelated diffusers issues; the soft links are mostly title-level similarity, not shared root causes. No pair should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #10111 is the broadest umbrella title in the set and the best anchor for the FLUX-related pipeline bug reports, even though the overall cluster is heterogeneous.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #10111 is the most suitable representative because it is the most general and centrally named around the FLUX pipeline, while the other items are narrower or clearly unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3954", + "right": "issue:590", + "accept": false, + "reason": "Different scheduler bugs: multi-GPU training step counting vs a typo in the Karras noise formula." + }, + { + "left": "issue:2891", + "right": "issue:5215", + "accept": false, + "reason": "Both involve StableDiffusionUpscalePipeline, but one is an API/doc mismatch and the other is a brightness-quality regression." + }, + { + "left": "issue:4198", + "right": "issue:989", + "accept": false, + "reason": "Generic runtime errors, but they point to different failures: dtype mismatch in a notebook vs a 2-D weight assertion." + }, + { + "left": "issue:2880", + "right": "issue:3081", + "accept": false, + "reason": "Both are Colab failures, but they concern different notebooks and different workflows/backends." + }, + { + "left": "issue:5392", + "right": "issue:7368", + "accept": false, + "reason": "Both are training questions, but they target different models and feature requests, not the same bug or change." + }, + { + "left": "issue:6354", + "right": "issue:9610", + "accept": false, + "reason": "Both mention LoRA support, but they are different concrete pipeline additions for different models and use cases." + }, + { + "left": "issue:8514", + "right": "issue:9415", + "accept": false, + "reason": "Different model-specific errors with no shared code path or fix." + }, + { + "left": "issue:10210", + "right": "issue:7054", + "accept": false, + "reason": "One is a FluxImg2Img output-quality bug; the other is a LoRA loader mutating the input state_dict." + }, + { + "left": "issue:7575", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape/attribute errors, but they describe different underlying failures in different components." + }, + { + "left": "issue:1127", + "right": "issue:2402", + "accept": false, + "reason": "Different backend/runtime issues: ONNX/DML provider traceback vs PyTorch CUDA-not-enabled assertion." + }, + { + "left": "issue:1207", + "right": "issue:1750", + "accept": false, + "reason": "Both are symbol/loading errors, but the symbols, environments, and root causes are different." + }, + { + "left": "issue:10111", + "right": "issue:7889", + "accept": false, + "reason": "FLUX pipeline bugs are unrelated to single-file checkpoint loading bugs." + }, + { + "left": "issue:10518", + "right": "issue:12781", + "accept": false, + "reason": "Completely unrelated: an SD3 LoRA colab script issue vs a Discord login problem." + }, + { + "left": "issue:4217", + "right": "issue:5989", + "accept": false, + "reason": "Related to safetensors broadly, but one is load-time performance and the other is a library bug." + }, + { + "left": "issue:6256", + "right": "issue:6452", + "accept": false, + "reason": "Both are feature requests in pipelines, but they are distinct API additions with different targets." + }, + { + "left": "issue:8700", + "right": "issue:8785", + "accept": false, + "reason": "Both request PAG support, but for different pipelines/models and not the same change." + }, + { + "left": "issue:11432", + "right": "issue:13249", + "accept": false, + "reason": "Unrelated: torch_dtype auto-loading behavior vs a LoRA regression for Z-Image." + }, + { + "left": "issue:10204", + "right": "issue:10475", + "accept": false, + "reason": "Both are image-quality complaints, but they concern different pipelines and different contexts." + }, + { + "left": "issue:3978", + "right": "issue:4480", + "accept": false, + "reason": "Both involve MPS, but one is img2img not working and the other is a float16 kernel crash." + }, + { + "left": "issue:10085", + "right": "issue:7142", + "accept": false, + "reason": "Different inference problems: LyCORIS batch inference with skip_guidance_layers vs SDXL-lightning output mismatch." + }, + { + "left": "issue:3366", + "right": "issue:3450", + "accept": false, + "reason": "Different bugs: autocast being blocked by LoRALinearLayer vs a from_ckpt regression." + }, + { + "left": "issue:3481", + "right": "issue:4668", + "accept": false, + "reason": "Both are image-quality complaints, but one is scheduler-step determinism and the other is LoRA-style weird outputs." + }, + { + "left": "issue:5693", + "right": "issue:6250", + "accept": false, + "reason": "Both involve VAE loading, but the failure modes and loading paths differ." + }, + { + "left": "issue:10917", + "right": "issue:7365", + "accept": false, + "reason": "Unrelated: a Lumina-2.0 script question vs pooled_prompt_embeds being overwritten." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10798", + "issue:11437", + "issue:12078", + "issue:12097", + "issue:12110", + "issue:1273", + "issue:13105", + "issue:1353", + "issue:1377", + "issue:1633", + "issue:1704", + "issue:2359", + "issue:2500", + "issue:2501", + "issue:2578", + "issue:2780", + "issue:2838", + "issue:3026", + "issue:3287", + "issue:3481", + "issue:4598", + "issue:4923", + "issue:5006", + "issue:5043", + "issue:5112", + "issue:5433", + "issue:5485", + "issue:5769", + "issue:6506", + "issue:6535", + "issue:6790", + "issue:6812", + "issue:6821", + "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:1273|issue:1704", + "issue:2359|issue:725", + "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:3026|issue:6821", + "issue:1353|issue:1377", + "issue:1633|issue:3287", + "issue:2500|issue:2501", + "issue:2838|issue:4923" + ], + "prepared_review_unit_hash": "eda0c1c9dfca8a36c9a179263b396176b736c0f2df725a1c4bdf062fcf88337c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33672, + "estimated_input_tokens": 8418, + "estimated_eval_tokens": 17092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: the items cover unrelated training, inference, import, scheduler, OOM, and API issues, and none of the soft-similarity pairs look like the same underlying bug. No duplicate merge candidate stands out.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster well; the topics are too diverse and the proposed soft pairs are only superficially similar.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the cluster. If forced, issue:725 is the broadest infrastructure-oriented item, but it still does not cover the rest of the unrelated bugs and feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1273", + "right": "issue:1704", + "accept": false, + "reason": "Both are generic questions, but one is about DreamBooth mean loss calculation and the other about attention blocks; different problems." + }, + { + "left": "issue:2359", + "right": "issue:725", + "accept": false, + "reason": "Latent output_type in img2img is unrelated to adding device maps/accelerate loading support." + }, + { + "left": "issue:2578", + "right": "issue:4598", + "accept": false, + "reason": "Editable install failure and missing-dependency error are different failure modes with different fixes." + }, + { + "left": "issue:5769", + "right": "issue:8671", + "accept": false, + "reason": "Mixed-precision training correctness and redundant code in SD3 dreambooth are not the same bug." + }, + { + "left": "issue:7535", + "right": "issue:8612", + "accept": false, + "reason": "Type-hint incompatibility is unrelated to mixed-precision inference behavior." + }, + { + "left": "issue:5433", + "right": "issue:8792", + "accept": false, + "reason": "Both mention image quality, but one is DPM++/SDXL artifacts and the other is migration quality degradation; not the same code-path issue." + }, + { + "left": "issue:6506", + "right": "issue:6535", + "accept": false, + "reason": "Output_type='np' return type bug is unrelated to allowing scheduler changes in StableVideoDiffusionPipeline." + }, + { + "left": "issue:6790", + "right": "issue:9166", + "accept": false, + "reason": "Unexpected state_dict key during LCM training is different from image_processor.apply_overlay behavior." + }, + { + "left": "issue:11437", + "right": "issue:12078", + "accept": false, + "reason": "Missing training outputs/validation images and a bad example validation input are separate issues." + }, + { + "left": "issue:2780", + "right": "issue:6812", + "accept": false, + "reason": "FP16 unscale error and Q/K/V dtype mismatch are different LoRA training errors." + }, + { + "left": "issue:12097", + "right": "issue:13105", + "accept": false, + "reason": "VRAM OOM at the end and output noise in Wan2.1 are unrelated failure types." + }, + { + "left": "issue:5112", + "right": "issue:5485", + "accept": false, + "reason": "A float tensor size error in SDXL ControlNet img2img is not the same as batch inference being slow." + }, + { + "left": "issue:5043", + "right": "issue:725", + "accept": false, + "reason": "LoRA finetuning support for W\u00fcrstchen is unrelated to device-map/accelerate loading support." + }, + { + "left": "issue:8534", + "right": "issue:8673", + "accept": false, + "reason": "Wrong logit-normal weighting and missing attention masks in SD3 are distinct training changes." + }, + { + "left": "issue:5006", + "right": "issue:8233", + "accept": false, + "reason": "BF16 end-of-training OOM in SDXL and fp16 depth-pipeline errors are different bugs." + }, + { + "left": "issue:7210", + "right": "issue:8752", + "accept": false, + "reason": "Missing named_parameters under load_checkpoint_and_dispatch and offline from_single_file support are separate pipeline-loading issues." + }, + { + "left": "issue:3481", + "right": "issue:7421", + "accept": false, + "reason": "Different inference steps changing outputs and seed not working in KDiffusion are related only at a high level; they are not the same concrete bug." + }, + { + "left": "issue:9306", + "right": "issue:9539", + "accept": false, + "reason": "Wrong device selection in CogVideoX loading is unrelated to float8 index_select kernel failure." + }, + { + "left": "issue:10798", + "right": "issue:12110", + "accept": false, + "reason": "Flux quantization/device-combination issues with bitsandbytes are unrelated to UNet1DModel GaussianFourier initialization." + }, + { + "left": "issue:3026", + "right": "issue:6821", + "accept": false, + "reason": "InstructPix2Pix launch/runtime error and caption_column validation error are different training-script problems." + }, + { + "left": "issue:1353", + "right": "issue:1377", + "accept": false, + "reason": "Combining train_unconditional with LDMPipeline is unrelated to the CLIPVisionModelWithProjection import error." + }, + { + "left": "issue:1633", + "right": "issue:3287", + "accept": false, + "reason": "Karras sigmas in a wrapper pipeline and support for improved DDPM are both feature requests, but they are different changes and not one duplicate change set." + }, + { + "left": "issue:2500", + "right": "issue:2501", + "accept": false, + "reason": "A specific meta-tensor copy error is not the same as a broad set of failures on v0.13.1." + }, + { + "left": "issue:2838", + "right": "issue:4923", + "accept": false, + "reason": "ControlNet pipeline behavior and AudioLDM 2 transcript support are unrelated 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-50-3013", + "nodes": [ + "issue:10729", + "issue:10932", + "issue:10950", + "issue:11092", + "issue:1125", + "issue:11885", + "issue:12338", + "issue:13311", + "issue:1677", + "issue:1889", + "issue:2098", + "issue:2858", + "issue:3052", + "issue:3065", + "issue:3149", + "issue:3336", + "issue:3481", + "issue:3638", + "issue:3811", + "issue:3951", + "issue:4213", + "issue:4353", + "issue:4530", + "issue:4584", + "issue:4638", + "issue:5225", + "issue:5313", + "issue:5371", + "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:9397", + "issue:9496", + "issue:9610", + "issue:962" + ], + "soft_pairs": [ + "issue:2858|issue:5605", + "issue:3052|issue:3638", + "issue:3065|issue:5371", + "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" + ], + "prepared_review_unit_hash": "d2146241ab2043570689170c768896368d1afbb04d225125905ee8ef400122e8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33181, + "estimated_input_tokens": 8296, + "estimated_eval_tokens": 16848 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the paired items share only broad Diffusers/domain vocabulary and do not describe the same bug or change. None of the soft edges should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single issue is a plausible canonical representative because the cluster mixes unrelated reports across different pipelines, models, and bug classes.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global canonical because the items are not duplicates; the cluster is too diverse for a single representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2858", + "right": "issue:5605", + "accept": false, + "reason": "Both are feature requests for different SDXL-related capabilities, not the same underlying problem." + }, + { + "left": "issue:3052", + "right": "issue:3638", + "accept": false, + "reason": "One is a control feature request; the other is a new pipeline proposal. Different change types and scopes." + }, + { + "left": "issue:3065", + "right": "issue:5371", + "accept": false, + "reason": "DreamBooth LoRA tuning request vs BLIP inpainting support; unrelated features." + }, + { + "left": "issue:3811", + "right": "issue:5313", + "accept": false, + "reason": "Both concern LoRA behavior, but one is loading having no effect and the other is fuse revertibility; different bugs." + }, + { + "left": "issue:5225", + "right": "issue:9496", + "accept": false, + "reason": "SDXL memory/VRAM issue vs SD3ControlNet forward error; different code paths and failures." + }, + { + "left": "issue:5594", + "right": "issue:6722", + "accept": false, + "reason": "SDXL LoRA memory-saving request vs using SigLIP as text encoder; unrelated enhancements." + }, + { + "left": "issue:5605", + "right": "issue:9397", + "accept": false, + "reason": "Per-image caption support for DreamBooth vs Hyper LoRA scheduler support; different features." + }, + { + "left": "issue:5947", + "right": "issue:8577", + "accept": false, + "reason": "Policy objective/Diffusion-DPO request vs Differential Diffusion on SD3; not the same bug or change." + }, + { + "left": "issue:10932", + "right": "issue:12338", + "accept": false, + "reason": "Torch.compile recompile-limit on HunyuanVideo vs AutoencoderDC VAE slicing bug; unrelated failures." + }, + { + "left": "issue:11885", + "right": "issue:13311", + "accept": false, + "reason": "Different LoRA-loading issues for different Flux model generations and error messages; not one concrete fix." + }, + { + "left": "issue:1677", + "right": "issue:2098", + "accept": false, + "reason": "Wrong data type passed to StableDiffusionPipeline vs torch.randn argument error; distinct runtime errors." + }, + { + "left": "issue:4584", + "right": "issue:5890", + "accept": false, + "reason": "Training resume checkpoint failure vs tokenizer length warning during inference; not the same issue." + }, + { + "left": "issue:579", + "right": "issue:911", + "accept": false, + "reason": "Textual inversion config file missing vs DreamBooth bad config; both config-related but different components and bugs." + }, + { + "left": "issue:10729", + "right": "issue:8463", + "accept": false, + "reason": "Hook removal AttributeError vs tokenizer missing on InstructP2P-SDXL; unrelated AttributeError causes." + }, + { + "left": "issue:4213", + "right": "issue:4638", + "accept": false, + "reason": "SDXL from_single_file without accelerate vs textual inversion on SDXL; different pipeline/setup problems." + }, + { + "left": "issue:1125", + "right": "issue:962", + "accept": false, + "reason": "Inpaint pipeline runtime error vs inpaint pipelines not supporting non-512 sizes; different limitations." + }, + { + "left": "issue:1889", + "right": "issue:3336", + "accept": false, + "reason": "Scheduler variant request vs inverse scheduler request; related theme but not the same concrete scheduler change." + }, + { + "left": "issue:5656", + "right": "issue:9610", + "accept": false, + "reason": "Community LoRA loader addition vs SD3 img2img LoRA loading support; different targets and implementations." + }, + { + "left": "issue:7053", + "right": "issue:7730", + "accept": false, + "reason": "Missing class conditioning in UNet3D vs missing timeout on requests calls; unrelated code paths." + }, + { + "left": "issue:10950", + "right": "issue:11092", + "accept": false, + "reason": "Documentation broken vs empty timesteps in SDXL-Turbo img2img; not the same bug." + }, + { + "left": "issue:3149", + "right": "issue:3481", + "accept": false, + "reason": "Generic nondeterminism report vs DDIM step-dependent image differences; similar symptom, different reported behavior and context." + }, + { + "left": "issue:3951", + "right": "issue:6136", + "accept": false, + "reason": "UniDiffuser NaNs vs StableDiffusionPipeline NaNs on Mac CPU; different models and failure conditions." + }, + { + "left": "issue:4353", + "right": "issue:5903", + "accept": false, + "reason": "Poor SDXL image quality vs edge artifacts from non-32-divisible resolutions; different quality problems." + }, + { + "left": "issue:4530", + "right": "issue:5969", + "accept": false, + "reason": "SDXL refiner color artifacts vs DDIM eta=1 NaNs with ZSNR patch; 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": 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-50-3013", + "nodes": [ + "issue:10191", + "issue:10334", + "issue:11047", + "issue:11148", + "issue:11275", + "issue:11486", + "issue:12104", + "issue:1314", + "issue:13286", + "issue:1611", + "issue:1709", + "issue:1919", + "issue:1923", + "issue:1931", + "issue:2020", + "issue:2044", + "issue:2068", + "issue:2370", + "issue:2844", + "issue:3381", + "issue:3481", + "issue:3494", + "issue:4149", + "issue:4361", + "issue:4631", + "issue:4668", + "issue:4913", + "issue:5374", + "issue:5578", + "issue:6092", + "issue:6359", + "issue:7021", + "issue:7142", + "issue:7636", + "issue:7974", + "issue:8441", + "issue:8493", + "issue:8509", + "issue:8514", + "issue:852", + "issue:8609", + "issue:8894", + "issue:8960", + "issue:9154", + "issue:9218", + "issue:9343", + "issue:9768", + "issue:9841" + ], + "soft_pairs": [ + "issue:11047|issue:9218", + "issue:11486|issue:9841", + "issue:1919|issue:1923", + "issue:10191|issue:11275", + "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" + ], + "prepared_review_unit_hash": "3bea66e36faf84c178098173ed171a2b778d0813cb8f0fcc8f2805cf1b9fa052", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "These items are a grab bag of unrelated bug reports and feature requests across LoRA training, loading/model config, schedulers, ControlNet/PAG, HF_HOME, and platform-specific failures. None of the soft pairs look like the same underlying defect, so I would not merge any of them as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits well: the set is not one coherent duplicate cluster, and the pairs span unrelated code paths and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue representative is clear for the same reason; nothing here broadly subsumes the others as the same bug/change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11047", + "right": "issue:9218", + "accept": false, + "reason": "Both mention PAG, but one is about ControlNet PAG inpaint support and the other about PAG guess mode; different requests, not the same bug." + }, + { + "left": "issue:11486", + "right": "issue:9841", + "accept": false, + "reason": "Training-script xformers support and a DreamBooth SDXL LoRA TypeError are unrelated code paths." + }, + { + "left": "issue:1919", + "right": "issue:1923", + "accept": false, + "reason": "Missing datasets in requirements.txt and missing CUDA libraries in a Dockerfile are different environment/setup problems." + }, + { + "left": "issue:10191", + "right": "issue:11275", + "accept": false, + "reason": "GPU device selection in training and a VAE NoneType addition error are unrelated failures." + }, + { + "left": "issue:1314", + "right": "issue:2844", + "accept": false, + "reason": "Windows xformers backward error and explicit image-embeddings runtime error are different pipeline problems." + }, + { + "left": "issue:9154", + "right": "issue:9343", + "accept": false, + "reason": "Both involve loading models, but one is about VAE PT loading and the other FLUX loading with mismatched sizes; not the same defect." + }, + { + "left": "issue:2044", + "right": "issue:2068", + "accept": false, + "reason": "A DDP wrapper lacking dtype is not the same as from_pretrained failing to convert model dtype." + }, + { + "left": "issue:3481", + "right": "issue:4149", + "accept": false, + "reason": "Different inference outputs with DDIM steps and a tensor dimension mismatch in SemanticStableDiffusion are unrelated." + }, + { + "left": "issue:7636", + "right": "issue:8609", + "accept": false, + "reason": "ControlNet SDXL tile usage and a custom hd_painter pipeline with IP-Adapter are different integration issues." + }, + { + "left": "issue:8493", + "right": "issue:8960", + "accept": false, + "reason": "SD3Transformer2DModel state_dict loading and gradient accumulation in the basic training example are unrelated." + }, + { + "left": "issue:1709", + "right": "issue:3381", + "accept": false, + "reason": "An ONNX conversion astype error and discolored inpaint batch inference are different bugs." + }, + { + "left": "issue:1931", + "right": "issue:4631", + "accept": false, + "reason": "Half-vs-float dtype mismatch in SD2 is unrelated to DPMSolverSinglestepScheduler scalar conversion." + }, + { + "left": "issue:2020", + "right": "issue:5374", + "accept": false, + "reason": "Dance Diffusion conversion failure and an unexpected checkpoint_path argument are different API issues." + }, + { + "left": "issue:4668", + "right": "issue:7974", + "accept": false, + "reason": "Kohya-style LoRA weird images and inpaint with IP-Adapter are not the same underlying change or bug." + }, + { + "left": "issue:4913", + "right": "issue:8509", + "accept": false, + "reason": "Both are about ControlNet-related names, but one is a specific model entry and the other is a broader ControlNet++ topic; no shared bug." + }, + { + "left": "issue:5578", + "right": "issue:6359", + "accept": false, + "reason": "Missing model_index.json and missing get_velocity/add_noise behavior in EulerDiscreteScheduler are unrelated." + }, + { + "left": "issue:11148", + "right": "issue:8514", + "accept": false, + "reason": "PEFT adapter flag handling and EMAModel parallel fine-tuning errors are different subsystems." + }, + { + "left": "issue:12104", + "right": "issue:13286", + "accept": false, + "reason": "An index-out-of-bounds runtime error and unsupported torchao quantization versions are unrelated." + }, + { + "left": "issue:2370", + "right": "issue:6092", + "accept": false, + "reason": "A question about whether LoRA training fits on a 24 GB GPU is not the same as the LoRA example not training anything." + }, + { + "left": "issue:7021", + "right": "issue:8441", + "accept": false, + "reason": "HF_HOME import error and infinite recursion from relative HF_HOME are related only by environment variable name, not the same concrete bug." + }, + { + "left": "issue:4361", + "right": "issue:8894", + "accept": false, + "reason": "Safetensors shared-tensor saving and a training-script error after a new commit are unrelated." + }, + { + "left": "issue:10334", + "right": "issue:9768", + "accept": false, + "reason": "MacOS/MPS grey images and CPU NaNs versus torch 2.5 CuDNN SDPA NaNs are different platform-specific failures." + }, + { + "left": "issue:1611", + "right": "issue:852", + "accept": false, + "reason": "A pipeline regression with stable-diffusion-v1-5 and an MPS device_map keyword error are unrelated." + }, + { + "left": "issue:3494", + "right": "issue:7142", + "accept": false, + "reason": "Corrupted images with different schedulers and SDXL-lightning differing from webui 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": 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-50-3013", + "nodes": [ + "issue:10790", + "issue:11000", + "issue:11136", + "issue:11162", + "issue:11163", + "issue:11661", + "issue:12012", + "issue:12047", + "issue:124", + "issue:12533", + "issue:12540", + "issue:13506", + "issue:1791", + "issue:2107", + "issue:2262", + "issue:2674", + "issue:2844", + "issue:2961", + "issue:3171", + "issue:3883", + "issue:3948", + "issue:4080", + "issue:4134", + "issue:4159", + "issue:4194", + "issue:4324", + "issue:4403", + "issue:455", + "issue:4589", + "issue:4648", + "issue:4720", + "issue:5225", + "issue:5593", + "issue:6001", + "issue:6157", + "issue:6320", + "issue:6807", + "issue:7456", + "issue:7535", + "issue:7842", + "issue:8234", + "issue:843", + "issue:8577", + "issue:8943", + "issue:8950", + "issue:9298", + "issue:9511" + ], + "soft_pairs": [ + "issue:6320|issue:9298", + "issue:1791|issue:455", + "issue:2674|issue:4159", + "issue:4324|issue:8234", + "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:12047|issue:13506", + "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" + ], + "prepared_review_unit_hash": "16438d5c14293bc3d2c8d6b13e3edbddf928d35a5fd418cec615831163d76900", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32981, + "estimated_input_tokens": 8246, + "estimated_eval_tokens": 16748 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a tight duplicate cluster; it mixes many unrelated issues across different pipelines and subsystems. None of the suggested soft edges look like the same underlying bug/change with enough certainty to merge.", + "confidence": 0.34, + "canonical_issue_reason": "issue:11162 is the most concrete and representative of the few closely related WanImageToVideo reports: it names the pipeline, the offloading failure mode, and has the clearest direct remediation target.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11162 is the strongest issue candidate for triage because it describes a specific runtime problem in a specific code path and appears more actionable than the adjacent Wan latent/argument reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6320", + "right": "issue:9298", + "accept": false, + "reason": "Both are remote/model-loading style errors, but they are different failures with different APIs and root causes; not the same bug." + }, + { + "left": "issue:1791", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related compatibility issues, but one is UnCLIPPipeline support and the other is a tensor indexing backend limitation; too broad to merge." + }, + { + "left": "issue:2674", + "right": "issue:4159", + "accept": false, + "reason": "One is about missing safetensors dependency for LoRA, the other about extreme VRAM usage in DiffEdit; unrelated problems." + }, + { + "left": "issue:4324", + "right": "issue:8234", + "accept": false, + "reason": "Different TypeErrors in different code paths: unet forward None handling versus ip_adapter_scale dict multiplication." + }, + { + "left": "issue:4403", + "right": "issue:6157", + "accept": false, + "reason": "Both mention model/runtime failures, but one is a Half LayerNorm backend issue and the other is ip_adapter not working in ControlNet img2img; not the same bug." + }, + { + "left": "issue:4720", + "right": "issue:7535", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility is not the same as a type-hint mismatch; one is runtime behavior, the other is typing/API consistency." + }, + { + "left": "issue:5593", + "right": "issue:6807", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and test collection on MPS are different issues affecting different layers." + }, + { + "left": "issue:11661", + "right": "issue:8950", + "accept": false, + "reason": "Both are training bugs, but one is a None handling issue in flux-control examples and the other is an SD3 LoRA training bug; no concrete shared code path." + }, + { + "left": "issue:2844", + "right": "issue:5225", + "accept": false, + "reason": "StableUnCLIP explicit image-embedding passing and SDXL high-VRAM usage are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:7842", + "accept": false, + "reason": "Both involve tensor-size problems, but they concern different pipelines and different mismatch scenarios." + }, + { + "left": "issue:12047", + "right": "issue:13506", + "accept": false, + "reason": "Wan2.2 GGUF LoRA fusion failure and Sage attention ring-attention failure are distinct backend/compatibility problems." + }, + { + "left": "issue:10790", + "right": "issue:9511", + "accept": false, + "reason": "Both involve ControlNet/offload/batching themes, but one is CPU offload VRAM usage and the other is multi-controlnet batching; not the same change." + }, + { + "left": "issue:11000", + "right": "issue:7456", + "accept": false, + "reason": "WanImageToVideo missing shift argument is unrelated to a generic missing raise statement." + }, + { + "left": "issue:11136", + "right": "issue:12540", + "accept": false, + "reason": "SCM intermediate timesteps support in SanaSprintPipeline and SanaCombinedTimestepGuidanceEmbeddings in SanaPipeline are different Sana issues." + }, + { + "left": "issue:11162", + "right": "issue:11163", + "accept": false, + "reason": "Same pipeline family, but offloading support and latent-preparation math are different concrete bugs with different fixes." + }, + { + "left": "issue:12012", + "right": "issue:12533", + "accept": false, + "reason": "Wan 2.2 context error with first-block cache and hooks conflicts between context parallelism and CPU offload are related only broadly by Wan/offload behavior, not the same issue." + }, + { + "left": "issue:124", + "right": "issue:2961", + "accept": false, + "reason": "Dataset creation documentation request and StableUnCLIP training example request are both docs, but they are distinct requests." + }, + { + "left": "issue:2107", + "right": "issue:3948", + "accept": false, + "reason": "Low-resolution black/glitchy images and pale generated images are different output-quality problems with different causes." + }, + { + "left": "issue:2262", + "right": "issue:3883", + "accept": false, + "reason": "LoRA usage help and realistic vision in dreambooth are not the same topic or bug." + }, + { + "left": "issue:3171", + "right": "issue:843", + "accept": false, + "reason": "LPW prompt support for controlnet and prompt syntax documentation are separate documentation/feature requests." + }, + { + "left": "issue:4080", + "right": "issue:4589", + "accept": false, + "reason": "SDXL inpainting pipeline request and XL ControlNet img2img/inpaint pipeline request overlap in area but are different feature requests." + }, + { + "left": "issue:4080", + "right": "issue:8577", + "accept": false, + "reason": "Inpainting pipeline request and Differential Diffusion with SD3 are unrelated feature requests." + }, + { + "left": "issue:4194", + "right": "issue:6001", + "accept": false, + "reason": "StableDiffusionPipeline.from_single_file VAE issue and refiner returning the wrong pipeline are different single-file loading bugs." + }, + { + "left": "issue:4648", + "right": "issue:8943", + "accept": false, + "reason": "Missing config.json in a local directory and missing libtorch_cuda_cu.so after installing main are different environment/setup 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": 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-50-3013", + "nodes": [ + "issue:10191", + "issue:1061", + "issue:10887", + "issue:11962", + "issue:1439", + "issue:175", + "issue:1801", + "issue:1896", + "issue:2024", + "issue:2392", + "issue:2439", + "issue:2772", + "issue:3194", + "issue:351", + "issue:4122", + "issue:4213", + "issue:4529", + "issue:4557", + "issue:4593", + "issue:4885", + "issue:5112", + "issue:5371", + "issue:5463", + "issue:5703", + "issue:5972", + "issue:5989", + "issue:6320", + "issue:6793", + "issue:7041", + "issue:7054", + "issue:7191", + "issue:7264", + "issue:7616", + "issue:7681", + "issue:775", + "issue:7757", + "issue:7802", + "issue:8523", + "issue:8546", + "issue:8551", + "issue:8556", + "issue:9134", + "issue:9181", + "issue:9248", + "issue:9331", + "issue:9613", + "issue:9731", + "issue:9941" + ], + "soft_pairs": [ + "issue:5371|issue:7802", + "issue:5989|issue:9248", + "issue:6320|issue:8551", + "issue:3194|issue:4557", + "issue:9613|issue:9731", + "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" + ], + "prepared_review_unit_hash": "b0c0e8bb8f2814b9ca93300ade7a1341a30d973529c4fc4a78eb06358d8553a0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34142, + "estimated_input_tokens": 8536, + "estimated_eval_tokens": 17328 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad mix of unrelated issues (GPU selection, scheduler bugs, import/runtime errors, LoRA loading, docs, and model-specific feature requests). None of the soft-edge pairs look like the same underlying bug or change, so there is no clear canonical issue/PR here.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5371", + "right": "issue:7802", + "accept": false, + "reason": "Different topics: BLIP inpainting support request vs OLSS scheduler support request; both are feature asks, not the same change." + }, + { + "left": "issue:5989", + "right": "issue:9248", + "accept": false, + "reason": "Different installation/package problems: a safetensors.torch bug vs a pip install command issue." + }, + { + "left": "issue:6320", + "right": "issue:8551", + "accept": false, + "reason": "Both mention remote/model loading, but one is Emu2 remote model resolution and the other is inpaint VAE device placement; not the same bug." + }, + { + "left": "issue:3194", + "right": "issue:4557", + "accept": false, + "reason": "Unrelated errors: bitsandbytes package metadata missing vs a __getattr__ AttributeError." + }, + { + "left": "issue:9613", + "right": "issue:9731", + "accept": false, + "reason": "Different subjects: timesteps.scale attribute error vs how to train a LoRA on Playground2.5." + }, + { + "left": "issue:4885", + "right": "issue:5112", + "accept": false, + "reason": "Both are SDXL ControlNet-related, but one is LoRA weight loading and the other is a torch.Size float shape error; different code paths." + }, + { + "left": "issue:5703", + "right": "issue:9181", + "accept": false, + "reason": "Different inference bugs: DDIM inverse noise reconstruction vs a visible noise dot artifact in ControlNet." + }, + { + "left": "issue:7191", + "right": "issue:9331", + "accept": false, + "reason": "Different import/scheduler problems: a strange import problem vs FlowMatchEulerDiscreteScheduler index_for_timestep logic." + }, + { + "left": "issue:7681", + "right": "issue:9941", + "accept": false, + "reason": "Both are import/runtime failures, but the underlying causes differ completely: OpenSSL symbol missing vs colab stable diffusion error." + }, + { + "left": "issue:2772", + "right": "issue:5463", + "accept": false, + "reason": "Different training-script bugs: local dataset validation in train_controlnet.py vs image_latents unbound variable." + }, + { + "left": "issue:4122", + "right": "issue:7041", + "accept": false, + "reason": "Different scheduler/runtime failures: wrong timesteps count in SDXL pipelines vs a segmentation fault after num_inference_steps > 1." + }, + { + "left": "issue:7616", + "right": "issue:8523", + "accept": false, + "reason": "Different symptoms and scope: low-denoise artifacts in Playground 2.5 img2img vs a generic playground CUDA error." + }, + { + "left": "issue:10191", + "right": "issue:7757", + "accept": false, + "reason": "Both are GPU/memory-related training issues, but one is wrong GPU device selection and the other is multi-GPU OOM; not the same bug." + }, + { + "left": "issue:11962", + "right": "issue:9134", + "accept": false, + "reason": "Different model families and problems: FLUX.1-Kontext-dev GGUF support vs Flux LoRA compatibility with SimpleTuner." + }, + { + "left": "issue:2392", + "right": "issue:6793", + "accept": false, + "reason": "Different failure modes: img2img prompt_embeds validation bug vs Hydra model serialization." + }, + { + "left": "issue:2024", + "right": "issue:351", + "accept": false, + "reason": "Unrelated notebook corruption vs model not loading directly into CUDA." + }, + { + "left": "issue:4213", + "right": "issue:775", + "accept": false, + "reason": "Different issues: from_single_file() needing accelerate vs fp16/autocast behavior." + }, + { + "left": "issue:4529", + "right": "issue:7054", + "accept": false, + "reason": "Both involve LoRA helpers, but one is an unexpected keyword argument and the other mutates/empties the passed state_dict; different defects." + }, + { + "left": "issue:4593", + "right": "issue:5972", + "accept": false, + "reason": "Different LoRA/documentation problems: rank limit failure for Automatic1111 LoRA vs Min-SNR weighting docs for controlnet training." + }, + { + "left": "issue:8546", + "right": "issue:8556", + "accept": false, + "reason": "Both concern SD3/from_single_file, but one is missing support and the other is a meta-tensor copy error; not the same underlying bug." + }, + { + "left": "issue:1896", + "right": "issue:2439", + "accept": false, + "reason": "Different pipelines and errors: CLIP guided SD size dict type error vs inpainting pipeline loading/running issues." + }, + { + "left": "issue:1061", + "right": "issue:175", + "accept": false, + "reason": "Different content entirely: example instruction update vs questioning torch.manual_seed usage." + }, + { + "left": "issue:10887", + "right": "issue:7264", + "accept": false, + "reason": "Both are import/serialization related, but one is missing StableDiffusionXLTrainer and the other is custom transformers model serialization/loading." + }, + { + "left": "issue:1439", + "right": "issue:1801", + "accept": false, + "reason": "Both are attribute-style import errors, but one is transformers FeatureExtractionMixin missing and the other is a generic getattr() attribute name 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": 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-50-3013", + "nodes": [ + "issue:10198", + "issue:1033", + "issue:10448", + "issue:11418", + "issue:11580", + "issue:11648", + "issue:1304", + "issue:1323", + "issue:1566", + "issue:175", + "issue:2024", + "issue:2068", + "issue:2202", + "issue:2775", + "issue:2883", + "issue:3184", + "issue:3207", + "issue:3377", + "issue:3700", + "issue:3730", + "issue:4210", + "issue:4312", + "issue:4708", + "issue:4888", + "issue:5037", + "issue:525", + "issue:5256", + "issue:5284", + "issue:5432", + "issue:5515", + "issue:5685", + "issue:5829", + "issue:5905", + "issue:5968", + "issue:6359", + "issue:7054", + "issue:7267", + "issue:7408", + "issue:7548", + "issue:8578", + "issue:8645", + "issue:8970", + "issue:8975", + "issue:8997", + "issue:9096", + "issue:9147", + "issue:9224", + "issue:9241" + ], + "soft_pairs": [ + "issue:2202|issue:5284", + "issue:2883|issue:7408", + "issue:4888|issue:5432", + "issue:5968|issue:9241", + "issue:6359|issue:8645", + "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" + ], + "prepared_review_unit_hash": "e192abd99c3de38b8bb27209495a1b87b07443a0a76b07edac548b5131c09cb7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "The cluster is mostly a grab-bag of unrelated diffusers support questions and bugs. None of the soft pairs look like true duplicates or mergeable same-change PRs, so all soft edges are rejected.", + "confidence": 0.94, + "canonical_issue_reason": "Use issue 11580 as the anchor only because it is the broadest open FLUX/fp8-related topic in an otherwise heterogeneous cluster; it is not a true duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11580 is the best representative by breadth and activity: it is open, central to the recurring FLUX/fp8 theme, and more useful as a cluster anchor than the narrower, one-off bug reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2202", + "right": "issue:5284", + "accept": false, + "reason": "Different feature requests in different subsystems: OpenVINO support vs ControlNet-LLLite support." + }, + { + "left": "issue:2883", + "right": "issue:7408", + "accept": false, + "reason": "Both are pipeline ideas, but they target different pipelines and different changes." + }, + { + "left": "issue:4888", + "right": "issue:5432", + "accept": false, + "reason": "Offline safetensors loading and blank validation images are unrelated problems." + }, + { + "left": "issue:5968", + "right": "issue:9241", + "accept": false, + "reason": "ONNX conversion request is unrelated to converting an XLab LoRA to diffusers LoRA." + }, + { + "left": "issue:6359", + "right": "issue:8645", + "accept": false, + "reason": "Scheduler velocity/noise bug and missing single_file_utils helper are different code-path issues." + }, + { + "left": "issue:7054", + "right": "issue:8975", + "accept": false, + "reason": "LoRA state_dict mutation and an import error for LoraLoaderMixin are not the same bug." + }, + { + "left": "issue:1323", + "right": "issue:2068", + "accept": false, + "reason": "Both mention dtype/loading, but one is a Flax missing-dtype loader failure and the other is about from_pretrained conversion semantics." + }, + { + "left": "issue:1566", + "right": "issue:5829", + "accept": false, + "reason": "Dreambooth fp16 checkpoint crash and LCM missing config argument are separate training failures." + }, + { + "left": "issue:8970", + "right": "issue:9224", + "accept": false, + "reason": "Both involve MPS, but black-image output is not the same as a hardcoded float64 device incompatibility." + }, + { + "left": "issue:3700", + "right": "issue:5037", + "accept": false, + "reason": "Different training-script issues: min_snr handling vs validation_image argument behavior." + }, + { + "left": "issue:7548", + "right": "issue:9096", + "accept": false, + "reason": "AnimateDiff flicker and Flux half-precision NaNs are different model/runtime symptoms." + }, + { + "left": "issue:5515", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a pipeline init failure and the other is a broader scheduler discussion without the same concrete bug." + }, + { + "left": "issue:1304", + "right": "issue:3377", + "accept": false, + "reason": "A training how-to question and an SNR weighting optimization question are not duplicates." + }, + { + "left": "issue:175", + "right": "issue:3207", + "accept": false, + "reason": "Manual seed usage and attention implementation compatibility are unrelated." + }, + { + "left": "issue:2024", + "right": "issue:525", + "accept": false, + "reason": "Corrupted notebook file vs local image loading in a notebook are different failures." + }, + { + "left": "issue:2775", + "right": "issue:4210", + "accept": false, + "reason": "TorchDynamo non-function error and UNet attention_mask usage are different implementation questions." + }, + { + "left": "issue:3730", + "right": "issue:4312", + "accept": false, + "reason": "Wrong timestep in inpainting blending and SAG support for inpainting/img2img are distinct issues." + }, + { + "left": "issue:4708", + "right": "issue:9147", + "accept": false, + "reason": "Import error in diffusers.utils and Flux autopipeline error are unrelated." + }, + { + "left": "issue:5256", + "right": "issue:5905", + "accept": false, + "reason": "Different model-support requests: Insta-Flow training vs diffusion-GAN." + }, + { + "left": "issue:1033", + "right": "issue:3184", + "accept": false, + "reason": "IndexError in stable_diffusion_mega and generator-list support in lpw_stable_diffusion are not the same bug." + }, + { + "left": "issue:7267", + "right": "issue:8578", + "accept": false, + "reason": "Broken local data loading in train_controlnet and meta-tensor copy failure in sd_turbo are different problems." + }, + { + "left": "issue:10198", + "right": "issue:11418", + "accept": false, + "reason": "Both are FLUX-related, but weight mismatch in Flux.1-dev is not the same as adding a specific fp8 safetensors file." + }, + { + "left": "issue:11648", + "right": "issue:8997", + "accept": false, + "reason": "LoRA loading with fp8 transformer weights and an EDMDPMSolverMultistepScheduler error in Kolors are unrelated." + }, + { + "left": "issue:10448", + "right": "issue:11580", + "accept": false, + "reason": "DDUF mmap loading and FLUX fp8 model support 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": 287, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10052", + "issue:10715", + "issue:11023", + "issue:11036", + "issue:11351", + "issue:11436", + "issue:1160", + "issue:12613", + "issue:12632", + "issue:12752", + "issue:13256", + "issue:13350", + "issue:13429", + "issue:1677", + "issue:1717", + "issue:2228", + "issue:2518", + "issue:2737", + "issue:3363", + "issue:3612", + "issue:3767", + "issue:4305", + "issue:4419", + "issue:4480", + "issue:4559", + "issue:4605", + "issue:4826", + "issue:4921", + "issue:5022", + "issue:5070", + "issue:5143", + "issue:5245", + "issue:5433", + "issue:5574", + "issue:5630", + "issue:5897", + "issue:6079", + "issue:6183", + "issue:6359", + "issue:6661", + "issue:7053", + "issue:7591", + "issue:7842", + "issue:7921", + "issue:8233", + "issue:8450", + "issue:9731" + ], + "soft_pairs": [ + "issue:11036|issue:11351", + "issue:1160|issue:5245", + "issue:2737|issue:4559", + "issue:3612|issue:7921", + "issue:4921|issue:5433", + "issue:3363|issue:5897", + "issue:4826|issue:8233", + "issue:1677|issue:2228", + "issue:13256|issue:5022", + "issue:10052|issue:6359", + "issue:10715|issue:11023", + "issue:12752|issue:13429", + "issue:1717|issue:3767", + "issue:2518|issue:5070", + "issue:4305|issue:5143", + "issue:4419|issue:7053", + "issue:4605|issue:6079", + "issue:5143|issue:5574", + "issue:12613|issue:13350", + "issue:6183|issue:7591", + "issue:6661|issue:9731", + "issue:11436|issue:12632", + "issue:4480|issue:7842", + "issue:5630|issue:8450" + ], + "prepared_review_unit_hash": "42870251d830053399a450637258bd913e98f25dbfe44aec4692abd5dc8325bf", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33570, + "estimated_input_tokens": 8393, + "estimated_eval_tokens": 17042 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most pairs share only broad wording around image-generation failures, dtype issues, or pipeline behavior, but they do not describe the same underlying bug/change. No soft duplicate edges are strong enough to merge.", + "confidence": 0.76, + "canonical_issue_reason": "issue:12632 is the clearest concrete bug report in the set: it names a specific pipeline, a reproducible failure, and an explicit dtype mismatch error, making it the best representative anchor for the cluster\u2019s runtime-failure theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12632 is the strongest issue to keep as the representative one because it is specific, reproducible, and directly describes the failure mode rather than asking a general question or reporting a vague symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11036", + "right": "issue:11351", + "accept": false, + "reason": "Different model/code paths and different problems: latent-condition operations question vs Wan i2v float32 dtype behavior." + }, + { + "left": "issue:1160", + "right": "issue:5245", + "accept": false, + "reason": "Both mention hanging/freezing, but one is a pytest hang in a custom-pipeline test while the other freezes at import in pipenv; not the same bug." + }, + { + "left": "issue:2737", + "right": "issue:4559", + "accept": false, + "reason": "Separate feature requests: scheduler CLIP guidance support vs long weighted prompt support." + }, + { + "left": "issue:3612", + "right": "issue:7921", + "accept": false, + "reason": "Different ControlNet/IP-Adapter feature questions; no shared concrete bug or fix path." + }, + { + "left": "issue:4921", + "right": "issue:5433", + "accept": false, + "reason": "Both concern SDXL image quality, but one is refiner erasing details and the other is DPM++ artifacts without refiner; too different to treat as the same bug." + }, + { + "left": "issue:3363", + "right": "issue:5897", + "accept": false, + "reason": "Both are training failures, but they involve different scripts and different error modes; not one underlying defect." + }, + { + "left": "issue:4826", + "right": "issue:8233", + "accept": false, + "reason": "Different pipeline errors: MultiControlNet reference handling vs fp16 depth pipeline failure." + }, + { + "left": "issue:1677", + "right": "issue:2228", + "accept": false, + "reason": "Wrong datatype on pipeline call vs pipeline not loading onto GPU; different failure classes." + }, + { + "left": "issue:13256", + "right": "issue:5022", + "accept": false, + "reason": "Dependency/version compatibility question vs a specific import-time NameError; not the same issue." + }, + { + "left": "issue:10052", + "right": "issue:6359", + "accept": false, + "reason": "Syntax error on ctx is unrelated to the scheduler velocity/helper-function bug." + }, + { + "left": "issue:10715", + "right": "issue:11023", + "accept": false, + "reason": "Both are image-quality reports, but they concern different models and symptoms (black images on ROCm vs blur on a custom SDXL pipeline)." + }, + { + "left": "issue:12752", + "right": "issue:13429", + "accept": false, + "reason": "Feature request for Z-Image img2img/inpainting vs request to add a different model; not a duplicate bug." + }, + { + "left": "issue:1717", + "right": "issue:3767", + "accept": false, + "reason": "Offline cache loading failure and FrozenDict mutability are unrelated." + }, + { + "left": "issue:2518", + "right": "issue:5070", + "accept": false, + "reason": "Different feature additions in different examples; no shared concrete change." + }, + { + "left": "issue:4305", + "right": "issue:5143", + "accept": false, + "reason": "torch.compile graph break is unrelated to tiny numerical differences in UNet outputs." + }, + { + "left": "issue:4419", + "right": "issue:7053", + "accept": false, + "reason": "Different model features and behavior gaps: offset noise inference vs missing class conditioning in UNet3DConditionModel." + }, + { + "left": "issue:4605", + "right": "issue:6079", + "accept": false, + "reason": "Inpaint-model error with long-prompt weighting vs a generic Half/Float dtype mismatch; too broad and not the same code path." + }, + { + "left": "issue:5143", + "right": "issue:5574", + "accept": false, + "reason": "Numerical-output drift vs training a subset of UNet attention parameters; unrelated." + }, + { + "left": "issue:12613", + "right": "issue:13350", + "accept": false, + "reason": "Wan i2v latent NaNs and FLUX.2 batch inference usage are different topics." + }, + { + "left": "issue:6183", + "right": "issue:7591", + "accept": false, + "reason": "Different loading failures: shape mismatch from_single_file vs offline local file header error." + }, + { + "left": "issue:6661", + "right": "issue:9731", + "accept": false, + "reason": "Training OOM on specific image sizes vs a how-to question about LoRA training; not duplicates." + }, + { + "left": "issue:11436", + "right": "issue:12632", + "accept": false, + "reason": "Both are dtype mismatch crashes, but they involve different models/pipelines and different concrete mismatch pairs, so they are not safely the same bug." + }, + { + "left": "issue:4480", + "right": "issue:7842", + "accept": false, + "reason": "MPS float16 kernel crash on Mac M1 vs stage-2 tensor size mismatch for non-8-divisible images; different root causes." + }, + { + "left": "issue:5630", + "right": "issue:8450", + "accept": false, + "reason": "Both mention SDXL noise, but one is LMS scheduler leftover noise in img2img and the other is inpainting noise at strength 1.0; too different to merge." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10010", + "issue:10514", + "issue:10636", + "issue:1064", + "issue:10768", + "issue:10772", + "issue:1083", + "issue:11047", + "issue:11145", + "issue:11148", + "issue:11561", + "issue:1160", + "issue:12108", + "issue:12308", + "issue:12540", + "issue:13430", + "issue:1544", + "issue:1961", + "issue:1974", + "issue:2221", + "issue:2412", + "issue:2439", + "issue:2549", + "issue:2728", + "issue:2799", + "issue:2941", + "issue:3101", + "issue:3116", + "issue:3184", + "issue:3799", + "issue:4305", + "issue:4332", + "issue:4767", + "issue:487", + "issue:5046", + "issue:5274", + "issue:5436", + "issue:5570", + "issue:5578", + "issue:5595", + "issue:5760", + "issue:5951", + "issue:6016", + "issue:6560", + "issue:660", + "issue:8989", + "issue:9220", + "issue:984" + ], + "soft_pairs": [ + "issue:6016|issue:6560", + "issue:1974|issue:3184", + "issue:1064|issue:1961", + "issue:2549|issue:2728", + "issue:2941|issue:4767", + "issue:10636|issue:8989", + "issue:487|issue:660", + "issue:11148|issue:12108", + "issue:4332|issue:984", + "issue:5046|issue:5760", + "issue:5274|issue:5436", + "issue:1160|issue:5595", + "issue:1083|issue:3116", + "issue:4305|issue:5570", + "issue:2221|issue:2412", + "issue:1544|issue:3799", + "issue:3101|issue:5951", + "issue:2439|issue:2799", + "issue:10010|issue:5578", + "issue:10514|issue:12540", + "issue:10768|issue:11145", + "issue:10772|issue:12308", + "issue:11047|issue:9220", + "issue:11561|issue:13430" + ], + "prepared_review_unit_hash": "a84b24640423d036ad3e35f282a650b52dddb8faf16c7b10139837fc0f4eeb2a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33750, + "estimated_input_tokens": 8438, + "estimated_eval_tokens": 17132 + }, + "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 issue reports. The soft pairs are only superficially similar by shared keywords like pipeline, scheduler, or model loading, but they point to different code paths, models, or features. No PRs are present.", + "confidence": 0.31, + "canonical_issue_reason": "Issue #2799 is the best umbrella representative because it is the broadest general bug report around model/pipeline compatibility and overlaps the most with the cluster\u2019s recurring loading/runtime themes.", + "canonical_pr_reason": null, + "best_issue_reason": "#2799 is the most generally useful issue to anchor the cluster, but it still does not truly unify the rest of the reports into one duplicate bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6016", + "right": "issue:6560", + "accept": false, + "reason": "Both mention shape-related failures, but one is a conversion utility bug and the other is a LoRA regression; different code paths and symptoms." + }, + { + "left": "issue:1974", + "right": "issue:3184", + "accept": false, + "reason": "Both involve generator lists, but one is scheduler reproducibility and the other is a community pipeline-specific failure." + }, + { + "left": "issue:1064", + "right": "issue:1961", + "accept": false, + "reason": "Completely unrelated: one is an LMSDiscreteScheduler add_noise error, the other is a ColossalAI integration error." + }, + { + "left": "issue:2549", + "right": "issue:2728", + "accept": false, + "reason": "Both are model-loading failures, but one is an SD2 UNet compatibility problem and the other is safetensors loading in from_pretrained." + }, + { + "left": "issue:2941", + "right": "issue:4767", + "accept": false, + "reason": "Same scheduler family, but one reports bad outputs in Stable Diffusion while the other asks for prediction_type sample support; not the same bug." + }, + { + "left": "issue:10636", + "right": "issue:8989", + "accept": false, + "reason": "Different components entirely: value_guided_sampling.py versus Stable Audio sequential offloading." + }, + { + "left": "issue:487", + "right": "issue:660", + "accept": false, + "reason": "Both are Apple/M1-related, but one is StableDiffusionPipeline on M1 CPU and the other is fp16 revision/dtype handling on MPS." + }, + { + "left": "issue:11148", + "right": "issue:12108", + "accept": false, + "reason": "PEFT adapter state tracking is unrelated to the Qwen/Chroma flow-matching scheduler breakage." + }, + { + "left": "issue:4332", + "right": "issue:984", + "accept": false, + "reason": "Unrelated bugs: xformers support in kandinsky2.2 versus a large-batch F.interpolate failure." + }, + { + "left": "issue:5046", + "right": "issue:5760", + "accept": false, + "reason": "Different projects and domains; no shared code path or change." + }, + { + "left": "issue:5274", + "right": "issue:5436", + "accept": false, + "reason": "Both are training errors, but they concern different examples and different failure modes." + }, + { + "left": "issue:1160", + "right": "issue:5595", + "accept": false, + "reason": "A test hang and an image size validation error are not the same underlying bug." + }, + { + "left": "issue:1083", + "right": "issue:3116", + "accept": false, + "reason": "FP16 ONNX correctness and KDPM2DiscreteScheduler img2img noise are unrelated." + }, + { + "left": "issue:4305", + "right": "issue:5570", + "accept": false, + "reason": "A torch.compile graph break and a missing compute_snr helper are distinct issues." + }, + { + "left": "issue:2221", + "right": "issue:2412", + "accept": false, + "reason": "Generic ColossalAI mention is not enough; one report is a ColossalAI error and the other is DreamBooth-related." + }, + { + "left": "issue:1544", + "right": "issue:3799", + "accept": false, + "reason": "Both mention DDPMScheduler, but one is a missing get_velocity method and the other is a typing issue from from_pretrained." + }, + { + "left": "issue:3101", + "right": "issue:5951", + "accept": false, + "reason": "ControlNet training example failure and PixArt training are different workflows and bugs." + }, + { + "left": "issue:2439", + "right": "issue:2799", + "accept": false, + "reason": "Both are about pipeline/model loading, but the inpainting pipeline report is not clearly the same mismatch bug as the explicit checkpoint-vs-pipeline validation issue." + }, + { + "left": "issue:10010", + "right": "issue:5578", + "accept": false, + "reason": "Both mention model_index.json, but one is a missing file on a specific FLUX repo URL and the other appears to be a different OSError context." + }, + { + "left": "issue:10514", + "right": "issue:12540", + "accept": false, + "reason": "Same Sana family, but one is resolution binning/sample_size support and the other is embedding compatibility with SanaPipeline." + }, + { + "left": "issue:10768", + "right": "issue:11145", + "accept": false, + "reason": "Different features entirely: negative prompt support for Hunyuan video versus FLUX Fill finetuning support." + }, + { + "left": "issue:10772", + "right": "issue:12308", + "accept": false, + "reason": "Sana ControlNet support and flash-attn kernel support are unrelated feature requests." + }, + { + "left": "issue:11047", + "right": "issue:9220", + "accept": false, + "reason": "Both touch PAG/controlnet wording, but one is a missing ControlNet PAG inpaint model and the other is an undefined variable in a PAG pipeline." + }, + { + "left": "issue:11561", + "right": "issue:13430", + "accept": false, + "reason": "Different pipelines and different requested features; no evidence of 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": 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-50-3013", + "nodes": [ + "issue:1083", + "issue:1195", + "issue:12037", + "issue:1205", + "issue:12053", + "issue:1284", + "issue:1323", + "issue:1486", + "issue:1535", + "issue:1909", + "issue:1931", + "issue:201", + "issue:2414", + "issue:2844", + "issue:2857", + "issue:3162", + "issue:3198", + "issue:3441", + "issue:3494", + "issue:3660", + "issue:3980", + "issue:4075", + "issue:4217", + "issue:4308", + "issue:4416", + "issue:4436", + "issue:4483", + "issue:4789", + "issue:4911", + "issue:5034", + "issue:542", + "issue:5515", + "issue:5598", + "issue:5633", + "issue:5645", + "issue:6028", + "issue:660", + "issue:6801", + "issue:6914", + "issue:7428", + "issue:7670", + "issue:7785", + "issue:8393", + "issue:8485", + "issue:8555", + "issue:9297", + "issue:9479", + "issue:9813" + ], + "soft_pairs": [ + "issue:1195|issue:3162", + "issue:12037|issue:12053", + "issue:1205|issue:4436", + "issue:1284|issue:1486", + "issue:1535|issue:2844", + "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" + ], + "prepared_review_unit_hash": "4e251a4044f0dcf829299fc51ea4271818ae4d59713201e455fc663f446d051e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33696, + "estimated_input_tokens": 8424, + "estimated_eval_tokens": 17104 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of semantically similar but mostly unrelated issues; none of the soft edges look like true duplicates, so all should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue cleanly represents this heterogeneous set; if one must be chosen, issue:1931 is the most detailed concrete bug report with a clear runtime error and repro context.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1931 is the strongest standalone issue candidate because it has a specific failure mode, substantial reproduction detail, and a clearly actionable bug report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1195", + "right": "issue:3162", + "accept": false, + "reason": "Both involve fp16-related behavior, but one is memory-efficient attention with fp16 weights and the other is a missing expected embedding argument; different code paths and failure modes." + }, + { + "left": "issue:12037", + "right": "issue:12053", + "accept": false, + "reason": "Both mention model/LoRA compatibility, but they concern different models and different breakages, so they are not the same underlying bug." + }, + { + "left": "issue:1205", + "right": "issue:4436", + "accept": false, + "reason": "Both are about model conversion workflows, but one is SD-to-ONNX conversion and the other is CIVITAI safetensors to diffusers; distinct tasks and issues." + }, + { + "left": "issue:1284", + "right": "issue:1486", + "accept": false, + "reason": "Batch-size slowdown and DDIMScheduler prediction_type behavior are unrelated bugs." + }, + { + "left": "issue:1535", + "right": "issue:2844", + "accept": false, + "reason": "Image variation pipeline support and explicit image-embedding runtime errors are different feature/bug requests." + }, + { + "left": "issue:1909", + "right": "issue:4483", + "accept": false, + "reason": "Both mention generators, but one is a scheduler API mismatch for list vs single generator, while the other is nondeterminism in SDXL; not the same defect." + }, + { + "left": "issue:201", + "right": "issue:4416", + "accept": false, + "reason": "These are both testing-related, but they target different components and do not describe the same bug or change." + }, + { + "left": "issue:2857", + "right": "issue:7428", + "accept": false, + "reason": "Both are feature requests for support of different methods/models, not duplicates." + }, + { + "left": "issue:3198", + "right": "issue:4911", + "accept": false, + "reason": "Textual inversion loading and custom text_encoder loading are separate loader problems." + }, + { + "left": "issue:4075", + "right": "issue:4308", + "accept": false, + "reason": "These are both docstring issues, but they concern different pipelines and different documentation mistakes." + }, + { + "left": "issue:4217", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance/loading complaints, but one is safetensors loading and the other is first-inference slowdown in a later version; different likely causes." + }, + { + "left": "issue:5598", + "right": "issue:5633", + "accept": false, + "reason": "These are bugs in different implementation files with no clear shared code path or identical failure." + }, + { + "left": "issue:7428", + "right": "issue:7670", + "accept": false, + "reason": "One asks for layer diffusion support, the other asks how to use IDDPM; different requests." + }, + { + "left": "issue:8393", + "right": "issue:9297", + "accept": false, + "reason": "Both mention loading time, but one is checkpoint shard loading and the other is multi-LoRA load-time scaling; not the same issue." + }, + { + "left": "issue:8485", + "right": "issue:8555", + "accept": false, + "reason": "LoRA support and FP8/text-encoder training are different SD3 feature requests." + }, + { + "left": "issue:6914", + "right": "issue:9813", + "accept": false, + "reason": "Both are IP-Adapter bugs, but one is an offload-related AttributeError and the other is batch feature mixing; different concrete code-path problems." + }, + { + "left": "issue:6028", + "right": "issue:9479", + "accept": false, + "reason": "A Kandinsky OOM error and an inpainting-mask corruption bug are unrelated." + }, + { + "left": "issue:5515", + "right": "issue:5645", + "accept": false, + "reason": "Both involve LCM, but one is pipeline initialization without scheduler and the other is a core support bug; distinct defects." + }, + { + "left": "issue:1931", + "right": "issue:660", + "accept": false, + "reason": "Both are fp16/float16-related, but they involve different models, platforms, and error conditions; not the same bug." + }, + { + "left": "issue:1284", + "right": "issue:5034", + "accept": false, + "reason": "Batch size affecting sample time and progress bar display during checkpoint loading are unrelated." + }, + { + "left": "issue:1323", + "right": "issue:4789", + "accept": false, + "reason": "Flax dtype loading and DeepFloyd IF download failure are unrelated." + }, + { + "left": "issue:2414", + "right": "issue:6801", + "accept": false, + "reason": "Missing transformers import and scheduler-loading problem are separate errors." + }, + { + "left": "issue:3441", + "right": "issue:3660", + "accept": false, + "reason": "Both mention performance and xformers/torch.compile, but one is higher VRAM usage and the other is compile compatibility; different issues." + }, + { + "left": "issue:3494", + "right": "issue:3980", + "accept": false, + "reason": "Both are about output discrepancies, but one is multidiffusion with schedulers and the other is long-prompt divergence from A1111; not the same underlying bug." + }, + { + "left": "issue:1083", + "right": "issue:542", + "accept": false, + "reason": "Both involve ONNX, but one is incorrect FP16 ONNX output and the other is a UNet export issue; different bugs and likely 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": 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-50-3013", + "nodes": [ + "issue:10658", + "issue:10743", + "issue:10914", + "issue:12149", + "issue:12499", + "issue:12565", + "issue:1608", + "issue:1655", + "issue:1755", + "issue:1790", + "issue:2331", + "issue:2412", + "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:499", + "issue:5050", + "issue:5120", + "issue:5166", + "issue:543", + "issue:5687", + "issue:5761", + "issue:5772", + "issue:5905", + "issue:6141", + "issue:6688", + "issue:6709", + "issue:6928", + "issue:7053", + "issue:7240", + "issue:730", + "issue:8613", + "issue:9090", + "issue:9227", + "issue:9241", + "issue:988", + "issue:9902" + ], + "soft_pairs": [ + "issue:2331|issue:6688", + "issue:2412|issue:5120", + "issue:5166|issue:7240", + "issue:1655|issue:499", + "issue:1655|issue:543", + "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" + ], + "prepared_review_unit_hash": "251591c9449ec4196746f8352b9764eeca62db54217a89e81b2ab2b3d640c78b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32661, + "estimated_input_tokens": 8166, + "estimated_eval_tokens": 16588 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All provided soft pairs are false positives: the items span unrelated bugs, features, and model/version-specific reports rather than one duplicated underlying issue. No PRs are present.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: the set is heterogeneous, covering unrelated pipelines, training scripts, schedulers, and package/version problems.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No issue is a strong global representative because there is no shared underlying bug/change to anchor deduplication.", + "best_pr_reason": "No PR representative exists because the cluster contains no PRs.", + "soft_edge_verdicts": [ + { + "left": "issue:2331", + "right": "issue:6688", + "accept": false, + "reason": "Different feature requests: adding a ControlNet pipeline vs adding MotionCntrl." + }, + { + "left": "issue:2412", + "right": "issue:5120", + "accept": false, + "reason": "Both involve DreamBooth, but one is a general error report and the other is a prior-preservation regression; not the same concrete bug." + }, + { + "left": "issue:5166", + "right": "issue:7240", + "accept": false, + "reason": "Different problems in different pipelines/models: VQVAE scaling factor vs low-quality conversion output." + }, + { + "left": "issue:1655", + "right": "issue:499", + "accept": false, + "reason": "Unrelated: pipeline initialization failure vs an unconditional training script issue." + }, + { + "left": "issue:1655", + "right": "issue:543", + "accept": false, + "reason": "Different subsystems: pipeline init bug vs a DDP gradient-stride warning." + }, + { + "left": "issue:10658", + "right": "issue:6928", + "accept": false, + "reason": "Different domains: ONNX Runtime provider options vs a depth-map colorization option." + }, + { + "left": "issue:10743", + "right": "issue:9227", + "accept": false, + "reason": "Both mention FLUX training, but one is a Zero-3 feature request and the other is a specific script/runtime problem." + }, + { + "left": "issue:3805", + "right": "issue:730", + "accept": false, + "reason": "Both mention Colab, but the failure modes are different and not the same bug." + }, + { + "left": "issue:4701", + "right": "issue:5761", + "accept": false, + "reason": "Unrelated: AutoencoderKL CUDA differentiation error vs consistency decoder cost discussion." + }, + { + "left": "issue:5687", + "right": "issue:9090", + "accept": false, + "reason": "Different scheduler bugs on different code paths; not clearly the same repeated-timestep defect." + }, + { + "left": "issue:5772", + "right": "issue:7053", + "accept": false, + "reason": "Completely unrelated topics: dataset performance vs UNet3D class conditioning." + }, + { + "left": "issue:1608", + "right": "issue:2991", + "accept": false, + "reason": "Different training issues: step-limit stop on T4 vs mixed-precision ControlNet example failure." + }, + { + "left": "issue:3593", + "right": "issue:4972", + "accept": false, + "reason": "Different example/runtime failures; no shared concrete root cause." + }, + { + "left": "issue:1790", + "right": "issue:2480", + "accept": false, + "reason": "A general how-to question vs a DreamBooth checkpoint-folder bug." + }, + { + "left": "issue:12149", + "right": "issue:9902", + "accept": false, + "reason": "Both are version complaints, but one is source-vs-pip alignment and the other is a stuck conda version; not the same issue." + }, + { + "left": "issue:1755", + "right": "issue:3336", + "accept": false, + "reason": "No meaningful overlap beyond being general issue titles; unrelated content." + }, + { + "left": "issue:2783", + "right": "issue:6141", + "accept": false, + "reason": "Related ControlNet area, but one requests a pipeline and the other asks for extra parameters; not the same change." + }, + { + "left": "issue:3452", + "right": "issue:988", + "accept": false, + "reason": "Different topics: low-VRAM DreamBooth training vs FSDP support for examples." + }, + { + "left": "issue:3698", + "right": "issue:5905", + "accept": false, + "reason": "Unrelated model conversion request vs a request for a different model family." + }, + { + "left": "issue:3944", + "right": "issue:4241", + "accept": false, + "reason": "Both involve LoRA, but one is a DreamBooth rank option and the other asks about unidiffusers fine-tuning; not the same bug/change." + }, + { + "left": "issue:5050", + "right": "issue:9241", + "accept": false, + "reason": "Unrelated: LoRA config changing vs a lora conversion script." + }, + { + "left": "issue:12499", + "right": "issue:12565", + "accept": false, + "reason": "Same model family, but different versions and different symptoms; not a single duplicate bug." + }, + { + "left": "issue:4551", + "right": "issue:6709", + "accept": false, + "reason": "Different training failures in different methods/models: SDXL DreamBooth crash vs Custom Diffusion concept-list bug." + }, + { + "left": "issue:10914", + "right": "issue:8613", + "accept": false, + "reason": "Both are resource-related, but one is unintended CPU offload and the other is an OOM from caption settings; different root 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": 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-50-3013", + "nodes": [ + "issue:10010", + "issue:10178", + "issue:10518", + "issue:10640", + "issue:10803", + "issue:10986", + "issue:11088", + "issue:11314", + "issue:11315", + "issue:11342", + "issue:11412", + "issue:11700", + "issue:1399", + "issue:1931", + "issue:2340", + "issue:2606", + "issue:2841", + "issue:2843", + "issue:2905", + "issue:3177", + "issue:3468", + "issue:3724", + "issue:4386", + "issue:459", + "issue:5577", + "issue:5907", + "issue:5917", + "issue:6113", + "issue:6686", + "issue:672", + "issue:6793", + "issue:7002", + "issue:7380", + "issue:7483", + "issue:7636", + "issue:7716", + "issue:7773", + "issue:8241", + "issue:8532", + "issue:8588", + "issue:8671", + "issue:8780", + "issue:8803", + "issue:8805", + "issue:8943", + "issue:9471", + "issue:9670", + "issue:9719" + ], + "soft_pairs": [ + "issue:5577|issue:6793", + "issue:1399|issue:5907", + "issue:7636|issue:8241", + "issue:10178|issue:7002", + "issue:10010|issue:8943", + "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" + ], + "prepared_review_unit_hash": "0666cb83b724503ce38503df775f4d7145241cd816ab4d6f45cae6b62004cca6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34127, + "estimated_input_tokens": 8532, + "estimated_eval_tokens": 17320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft edges look like false positives. The cluster is a heterogeneous mix of unrelated diffusers issues and feature requests: missing files/404s, dtype and MPS failures, training-script bugs, conversion regressions, and scheduler/API questions.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items do not share one underlying defect, so there is no meaningful duplicate center for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong global representative; the reports span different models, scripts, and failure modes rather than one code-path bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5577", + "right": "issue:6793", + "accept": false, + "reason": "Different bugs: a checkpoint key error in ControlNet loading vs a Hydra serialization failure." + }, + { + "left": "issue:1399", + "right": "issue:5907", + "accept": false, + "reason": "Both are kwarg/API issues, but they hit different components and different parameters." + }, + { + "left": "issue:7636", + "right": "issue:8241", + "accept": false, + "reason": "One is a usage question for SDXL ControlNet tile; the other is a model size anomaly for LEDITS++." + }, + { + "left": "issue:10178", + "right": "issue:7002", + "accept": false, + "reason": "Different runtime failures in unrelated pipelines: 3D block dimension mismatch vs invalid buffer size." + }, + { + "left": "issue:10010", + "right": "issue:8943", + "accept": false, + "reason": "A missing model file on Hugging Face is not the same as a missing CUDA shared library." + }, + { + "left": "issue:10803", + "right": "issue:7380", + "accept": false, + "reason": "A feature proposal for SANARubber is unrelated to implementing one-step diffusion distillation." + }, + { + "left": "issue:11412", + "right": "issue:7773", + "accept": false, + "reason": "404 model availability and batch-size generation bugs are different underlying problems." + }, + { + "left": "issue:2843", + "right": "issue:6686", + "accept": false, + "reason": "Checkpoint saving in multi-GPU training is distinct from Dynamo compile performance after save/load." + }, + { + "left": "issue:3724", + "right": "issue:459", + "accept": false, + "reason": "Two separate feature ideas: watermarking vs incremental diffusion." + }, + { + "left": "issue:4386", + "right": "issue:672", + "accept": false, + "reason": "Different conversion requests with different directions and formats; not the same bug or change." + }, + { + "left": "issue:5917", + "right": "issue:6113", + "accept": false, + "reason": "A conversion regression is not the same as a how-to-use question for control collection models." + }, + { + "left": "issue:8588", + "right": "issue:8805", + "accept": false, + "reason": "Different missing-script/regression reports for different conversion tools and model families." + }, + { + "left": "issue:8671", + "right": "issue:8803", + "accept": false, + "reason": "Redundant training-script code and a duplicate assignment in attention code are unrelated." + }, + { + "left": "issue:2606", + "right": "issue:3177", + "accept": false, + "reason": "Both mention DeepSpeed, but one is a save_state hang and the other is stage-3 offload breakage." + }, + { + "left": "issue:11315", + "right": "issue:11342", + "accept": false, + "reason": "Both are MPS-related, but they involve different models and different code paths." + }, + { + "left": "issue:1931", + "right": "issue:2340", + "accept": false, + "reason": "A float16 type mismatch in Stable Diffusion 2 is unrelated to a tiny pipeline safety-checker error." + }, + { + "left": "issue:11700", + "right": "issue:8780", + "accept": false, + "reason": "An integration request is not the same as a generic model/input dtype mismatch." + }, + { + "left": "issue:2841", + "right": "issue:2905", + "accept": false, + "reason": "Both are scheduler feature requests, but they ask for different additions and changes." + }, + { + "left": "issue:8532", + "right": "issue:9670", + "accept": false, + "reason": "Memory growth when loading LoRA weights is unrelated to a missing PEFT backend dependency." + }, + { + "left": "issue:9471", + "right": "issue:9719", + "accept": false, + "reason": "A file-extension inference error is unrelated to an ignored progress-bar setting." + }, + { + "left": "issue:3468", + "right": "issue:7716", + "accept": false, + "reason": "Both mention missing config files, but they are different files and different failure modes." + }, + { + "left": "issue:10518", + "right": "issue:11314", + "accept": false, + "reason": "These are unrelated training-script bug reports for different projects/models." + }, + { + "left": "issue:10640", + "right": "issue:7483", + "accept": false, + "reason": "A DataParallel multi-GPU runtime error is unrelated to an SDXL LoRA conversion issue." + }, + { + "left": "issue:10986", + "right": "issue:11088", + "accept": false, + "reason": "Different code paths and symptoms: MPS complex dtype conversion vs GGUF 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": 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-50-3013", + "nodes": [ + "issue:10281", + "issue:1109", + "issue:11448", + "issue:11989", + "issue:12108", + "issue:1344", + "issue:13446", + "issue:1375", + "issue:1495", + "issue:1867", + "issue:2163", + "issue:2213", + "issue:2659", + "issue:2851", + "issue:3348", + "issue:337", + "issue:3566", + "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:5670", + "issue:5689", + "issue:6079", + "issue:6162", + "issue:6452", + "issue:6725", + "issue:7644", + "issue:7735", + "issue:7962", + "issue:8464", + "issue:8488", + "issue:9167", + "issue:9495", + "issue:9856", + "issue:9861", + "issue:9957" + ], + "soft_pairs": [ + "issue:1109|issue:3348", + "issue:11448|issue:9167", + "issue:1375|issue:1495", + "issue:11989|issue:9861", + "issue:5670|issue:7644", + "issue:2659|issue:6725", + "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" + ], + "prepared_review_unit_hash": "30504ef83c4149f8737d7d91b322aca7c15375de177d23d31e6462f08492e51a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34359, + "estimated_input_tokens": 8590, + "estimated_eval_tokens": 17436 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous; the soft pairs are superficial matches across unrelated bugs, feature requests, import errors, training issues, and scheduler changes. No duplicate PRs are present.", + "confidence": 0.95, + "canonical_issue_reason": "No true canonical issue: the set spans unrelated topics. If one must be chosen, issue 12108 is the closest scheduler/pipeline regression.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12108 is the most concrete and well-scoped bug report among this mixed set, with explicit pipeline/scheduler behavior and discussion.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1109", + "right": "issue:3348", + "accept": false, + "reason": "Different problems: CPU utilization vs LoRA scale/xformers support." + }, + { + "left": "issue:11448", + "right": "issue:9167", + "accept": false, + "reason": "Missing model path vs missing pipeline import; unrelated failures." + }, + { + "left": "issue:1375", + "right": "issue:1495", + "accept": false, + "reason": "Both are import-related, but they concern different symbols and breakages." + }, + { + "left": "issue:11989", + "right": "issue:9861", + "accept": false, + "reason": "Black inference output vs Flux training not updating transformer; different code paths." + }, + { + "left": "issue:5670", + "right": "issue:7644", + "accept": false, + "reason": "Both mention image size/shape, but different pipelines and failure modes." + }, + { + "left": "issue:2659", + "right": "issue:6725", + "accept": false, + "reason": "Batch-size variation bug vs a generic LDM pipeline feature request." + }, + { + "left": "issue:4580", + "right": "issue:8488", + "accept": false, + "reason": "Different pipelines and exception types; not the same concrete bug." + }, + { + "left": "issue:1867", + "right": "issue:337", + "accept": false, + "reason": "Both involve img2img, but one is scheduler strength behavior and the other is inpainting/guided usage." + }, + { + "left": "issue:2163", + "right": "issue:2213", + "accept": false, + "reason": "Training issues in different environments: dtype mismatch vs TPU hang." + }, + { + "left": "issue:4708", + "right": "issue:6079", + "accept": false, + "reason": "Import error vs tensor dtype mismatch; unrelated." + }, + { + "left": "issue:12108", + "right": "issue:13446", + "accept": false, + "reason": "Scheduler/flow-matching regression vs custom_pipeline trust check; unrelated." + }, + { + "left": "issue:8464", + "right": "issue:9856", + "accept": false, + "reason": "SEGA seed/offload failure vs distributed port conflict; unrelated." + }, + { + "left": "issue:10281", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler requests, but for different schedulers and changes." + }, + { + "left": "issue:2851", + "right": "issue:3717", + "accept": false, + "reason": "TPU hub-push problem vs multi-GPU OOM; different distributed-training issues." + }, + { + "left": "issue:3585", + "right": "issue:5110", + "accept": false, + "reason": "LoRA synthesis failure vs repo-id validation error; unrelated." + }, + { + "left": "issue:1109", + "right": "issue:4752", + "accept": false, + "reason": "CPU core usage issue vs SDXL dtype/bias mismatch; unrelated." + }, + { + "left": "issue:3566", + "right": "issue:5689", + "accept": false, + "reason": "Different image-quality complaints with different features and triggers." + }, + { + "left": "issue:1344", + "right": "issue:4042", + "accept": false, + "reason": "Multi-GPU limitation vs pipeline-composition question; unrelated." + }, + { + "left": "issue:4021", + "right": "issue:5390", + "accept": false, + "reason": "Both concern extra SDXL downloads, but different entrypoints and components." + }, + { + "left": "issue:4080", + "right": "issue:7962", + "accept": false, + "reason": "Feature request for SDXL inpainting vs API enhancement for instruct-pix2pix." + }, + { + "left": "issue:4171", + "right": "issue:5246", + "accept": false, + "reason": "Docs rendering issue vs missing attribute import error; unrelated." + }, + { + "left": "issue:4484", + "right": "issue:5433", + "accept": false, + "reason": "Both mention SDXL artifacts, but one is LoRA weirdness and the other is DPM++ residual noise." + }, + { + "left": "issue:5606", + "right": "issue:7735", + "accept": false, + "reason": "LoRA alpha loading bug vs dataset caption column error; unrelated." + }, + { + "left": "issue:6162", + "right": "issue:9495", + "accept": false, + "reason": "Both involve IP-Adapter/SDXL, but the concrete failures differ and are not clearly the same bug." + }, + { + "left": "issue:6452", + "right": "issue:7962", + "accept": false, + "reason": "Different API feature requests in different pipelines; 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": 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-50-3013", + "nodes": [ + "issue:10239", + "issue:1061", + "issue:10671", + "issue:12022", + "issue:1477", + "issue:1633", + "issue:1831", + "issue:2179", + "issue:2266", + "issue:2276", + "issue:2437", + "issue:2577", + "issue:2782", + "issue:2843", + "issue:3481", + "issue:3580", + "issue:3612", + "issue:4349", + "issue:4414", + "issue:4468", + "issue:4677", + "issue:4767", + "issue:5465", + "issue:5628", + "issue:5630", + "issue:5760", + "issue:5881", + "issue:5897", + "issue:6087", + "issue:6132", + "issue:6709", + "issue:7009", + "issue:7333", + "issue:7357", + "issue:7415", + "issue:7728", + "issue:776", + "issue:8482", + "issue:8708", + "issue:8813", + "issue:8885", + "issue:8939", + "issue:9209", + "issue:9398", + "issue:9523", + "issue:9660", + "issue:9719" + ], + "soft_pairs": [ + "issue:8482|issue:8813", + "issue:8885|issue:9209", + "issue:6709|issue:8939", + "issue:10671|issue:9660", + "issue:2276|issue:3580", + "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" + ], + "prepared_review_unit_hash": "30f6c3c3e4bbf443afa789bbf2a2f2e636e4c2f3e02d3055ddc02ae87e69543b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33962, + "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 not a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and model-specific problems. All suggested soft pairs are keyword-similar but do not describe the same underlying change or failure mode.", + "confidence": 0.93, + "canonical_issue_reason": "issue:10671 is the most generally applicable, concrete bug report in the set; it targets a core DiffusionPipeline behavior rather than a narrow model/example-specific edge case.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the strongest canonical candidate because it describes a clear, reproducible pipeline-level issue with broader impact than the more specialized reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8482", + "right": "issue:8813", + "accept": false, + "reason": "Different topics: SD3 model support vs Differential Diffusion/Kolors. No shared code-path or fix." + }, + { + "left": "issue:8885", + "right": "issue:9209", + "accept": false, + "reason": "Both involve loading, but one is a Colab/Custom Diffusion installation/token issue and the other is a mirror connectivity problem." + }, + { + "left": "issue:6709", + "right": "issue:8939", + "accept": false, + "reason": "Custom Diffusion training/concept-list bug vs SD3 tokenizer loading error; unrelated failures." + }, + { + "left": "issue:10671", + "right": "issue:9660", + "accept": false, + "reason": "Both touch pipeline internals, but one is about dtype/device access determinism and the other about from_pretrained not setting eval mode." + }, + { + "left": "issue:2276", + "right": "issue:3580", + "accept": false, + "reason": "Sequential CPU offload slowdown vs XFormers TypeError are different bugs and different fix paths." + }, + { + "left": "issue:4414", + "right": "issue:4468", + "accept": false, + "reason": "Different subjects: Consistency Model sample request vs multi-GPU sample performance difference." + }, + { + "left": "issue:5897", + "right": "issue:7415", + "accept": false, + "reason": "Training-time device mismatch in LoRA vs AutoencoderKL bfloat16 behavior on TPU; not the same bug." + }, + { + "left": "issue:7728", + "right": "issue:9523", + "accept": false, + "reason": "Both are training-script errors, but they affect different scripts and likely different mapping/config problems." + }, + { + "left": "issue:1477", + "right": "issue:1831", + "accept": false, + "reason": "CUDA cublas runtime failure vs Dreambooth class-image precision mismatch; unrelated failure modes." + }, + { + "left": "issue:2577", + "right": "issue:5628", + "accept": false, + "reason": "DDIMInverseScheduler not working vs LMS/Karras denoising offset issue are distinct scheduler problems." + }, + { + "left": "issue:5760", + "right": "issue:7333", + "accept": false, + "reason": "Completely different research tasks: video-to-audio synthesis vs image-to-video generation." + }, + { + "left": "issue:8939", + "right": "issue:9719", + "accept": false, + "reason": "Tokenizer load failure vs progress-bar suppression bug are unrelated." + }, + { + "left": "issue:2266", + "right": "issue:2782", + "accept": false, + "reason": "Both mention offloading, but one is a slowdown and the other is an explicit error; not the same underlying bug." + }, + { + "left": "issue:2437", + "right": "issue:6132", + "accept": false, + "reason": "Feature request for a T2I-Adapter pipeline vs adding LOADABLE_CLASSES support; different changes." + }, + { + "left": "issue:4677", + "right": "issue:7009", + "accept": false, + "reason": "Doc script error in text-guided inpainting vs poor output quality in TextToVideoSDPipeline; unrelated." + }, + { + "left": "issue:4767", + "right": "issue:5465", + "accept": false, + "reason": "Scheduler prediction_type support vs DiffEdit inpaint_strength limitation are different pipeline behaviors." + }, + { + "left": "issue:5630", + "right": "issue:5881", + "accept": false, + "reason": "Both are quality complaints, but they concern different pipelines and different suspected causes." + }, + { + "left": "issue:8708", + "right": "issue:9398", + "accept": false, + "reason": "Missing SD3 VAE config field in training examples vs missing pooled_projection argument in an embedding forward path; unrelated." + }, + { + "left": "issue:10239", + "right": "issue:12022", + "accept": false, + "reason": "Sequential CPU offload support vs flash-attention-3 interface compatibility are entirely different subsystems." + }, + { + "left": "issue:2843", + "right": "issue:6087", + "accept": false, + "reason": "Checkpoint saving in multi-GPU training vs LoRA config persistence/lora_alpha loading are not the same bug." + }, + { + "left": "issue:4349", + "right": "issue:7357", + "accept": false, + "reason": "Pipeline requiring text_encoder despite prompt_embeds vs SDXL inference slowdown with compile/fuse_loras; different problems." + }, + { + "left": "issue:1061", + "right": "issue:776", + "accept": false, + "reason": "Documentation update for textual inversion vs img2img batch_size>1 bug; no overlap beyond general pipeline docs." + }, + { + "left": "issue:1633", + "right": "issue:3612", + "accept": false, + "reason": "Scheduler sigma option request vs ControlNet creation/how-to question; unrelated." + }, + { + "left": "issue:2179", + "right": "issue:3481", + "accept": false, + "reason": "FlaxDDPMScheduler producing black images vs DDIM step-count inconsistency; different schedulers 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": 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-50-3013", + "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:3029", + "issue:307", + "issue:3455", + "issue:3958", + "issue:4111", + "issue:4116", + "issue:4264", + "issue:4282", + "issue:459", + "issue:5313", + "issue:5523", + "issue:5731", + "issue:5997", + "issue:6313", + "issue:6320", + "issue:6548", + "issue:6616", + "issue:6639", + "issue:7380", + "issue:7389", + "issue:7432", + "issue:7640", + "issue:8539", + "issue:8614", + "issue:8956", + "issue:9216" + ], + "soft_pairs": [ + "issue:3029|issue:5997", + "issue:307|issue:459", + "issue:4111|issue:4116", + "issue:4264|issue:5731", + "issue:6616|issue:7380", + "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" + ], + "prepared_review_unit_hash": "975870b02843fc140d798b73833f65baa222a7b125f327f46e1ac3056be8a04a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33958, + "estimated_input_tokens": 8490, + "estimated_eval_tokens": 17236 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose similarity cluster around diffusion pipelines and model-loading issues, but the items are not true duplicates of one another. I would not merge any of the soft-edge pairs.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 307 is the broadest umbrella-style topic in the set, but it is still not a concrete duplicate anchor for the others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 307 is the only broad representative, but the cluster is too heterogeneous for a strong canonical issue choice.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3029", + "right": "issue:5997", + "accept": false, + "reason": "Both mention ControlNet/tutorials, but one is about custom resolution and the other is an SDXL config/type-instantiation error." + }, + { + "left": "issue:307", + "right": "issue:459", + "accept": false, + "reason": "A pipeline-merging feature request and an incremental diffusion concept are unrelated underlying changes." + }, + { + "left": "issue:4111", + "right": "issue:4116", + "accept": false, + "reason": "Same pipeline family, but one is a VRAM/load failure and the other is an embeddings-input bug." + }, + { + "left": "issue:4264", + "right": "issue:5731", + "accept": false, + "reason": "Missing example images is unrelated to the AutoencoderKL decoder logvar implementation gap." + }, + { + "left": "issue:6616", + "right": "issue:7380", + "accept": false, + "reason": "Classifier-guidance support and one-step diffusion distillation are different changes with different code paths." + }, + { + "left": "issue:6639", + "right": "issue:7432", + "accept": false, + "reason": "Both describe output differences, but they point to different models and likely different root causes." + }, + { + "left": "issue:11779", + "right": "issue:12574", + "accept": false, + "reason": "Wan/VACE issues, but mask padding and missing control-argument handling are distinct bugs." + }, + { + "left": "issue:2480", + "right": "issue:5523", + "accept": false, + "reason": "Checkpoint-directory naming is unrelated to non-deterministic run-to-run results." + }, + { + "left": "issue:10566", + "right": "issue:12071", + "accept": false, + "reason": "Different transformer models and different problems; no shared concrete bug." + }, + { + "left": "issue:10673", + "right": "issue:12025", + "accept": false, + "reason": "AuraFlow shape mismatch and Cosmos VAE API misuse are unrelated failure modes." + }, + { + "left": "issue:7389", + "right": "issue:7640", + "accept": false, + "reason": "Both are SDXL from_single_file issues, but the errors and triggering conditions differ." + }, + { + "left": "issue:11178", + "right": "issue:8614", + "accept": false, + "reason": "Both involve single-file ControlNet loading, but missing config.json is a different issue than loading a rank_256 ControlNet." + }, + { + "left": "issue:10050", + "right": "issue:9216", + "accept": false, + "reason": "An img2img KDiffusion pipeline question is not the same change as a multi-model-at-once pipeline implementation." + }, + { + "left": "issue:11010", + "right": "issue:13107", + "accept": false, + "reason": "Flux Chroma architecture support and Flux LoRA missing-key errors are different underlying problems." + }, + { + "left": "issue:1141", + "right": "issue:2737", + "accept": false, + "reason": "Local-file support in custom pipelines is unrelated to scheduler CLIP-guidance support." + }, + { + "left": "issue:1273", + "right": "issue:3455", + "accept": false, + "reason": "Dreambooth loss calculation and instruct-pix2pix training usage are not the same bug or feature." + }, + { + "left": "issue:1304", + "right": "issue:205", + "accept": false, + "reason": "Training text-guided img2img and adding interpolation example scripts are different feature requests." + }, + { + "left": "issue:2437", + "right": "issue:6313", + "accept": false, + "reason": "T2I-Adapter pipeline support and null-text inversion pipeline implementation are distinct additions." + }, + { + "left": "issue:2763", + "right": "issue:4282", + "accept": false, + "reason": "ControlNet VRAM regression and multi-ControlNet support are different concerns, not one duplicate change." + }, + { + "left": "issue:2786", + "right": "issue:6548", + "accept": false, + "reason": "Both touch img2img input handling, but numpy-input incompatibility and RGBA latent misclassification are separate bugs." + }, + { + "left": "issue:11627", + "right": "issue:8539", + "accept": false, + "reason": "SD3 IP-Adapter usage and SD3 cross-attention issues are different code-path 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": 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-50-3013", + "nodes": [ + "issue:10178", + "issue:10191", + "issue:10311", + "issue:10446", + "issue:10963", + "issue:2722", + "issue:2961", + "issue:3043", + "issue:3065", + "issue:3191", + "issue:3223", + "issue:3325", + "issue:3377", + "issue:3390", + "issue:3604", + "issue:3960", + "issue:4665", + "issue:4756", + "issue:4801", + "issue:4969", + "issue:5025", + "issue:5061", + "issue:5079", + "issue:5112", + "issue:514", + "issue:5399", + "issue:5432", + "issue:5654", + "issue:5873", + "issue:6132", + "issue:6157", + "issue:6176", + "issue:6354", + "issue:6359", + "issue:656", + "issue:6996", + "issue:7043", + "issue:7079", + "issue:770", + "issue:8241", + "issue:8405", + "issue:8824", + "issue:8939", + "issue:9047", + "issue:9178", + "issue:9397", + "issue:9424", + "issue:9926" + ], + "soft_pairs": [ + "issue:3043|issue:6132", + "issue:3065|issue:7043", + "issue:4756|issue:5432", + "issue:6354|issue:9926", + "issue:6359|issue:7079", + "issue:9047|issue:9178", + "issue:10191|issue:10446", + "issue:5399|issue:8241", + "issue:2722|issue:6176", + "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" + ], + "prepared_review_unit_hash": "d70bc543d68dfa77f42cfdb378ecb50ac69d179335b6dbece88f639573208289", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34022, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated issues, mostly around DreamBooth/LoRA, ControlNet/Flux, import errors, GPU/runtime configuration, and a few example/model-conversion bugs. None of the soft edges look like true duplicates of the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits the cluster: the items span distinct code paths and problem types rather than one shared defect. If forced to pick a representative, issue 10446 is the strongest standalone open bug because it is detailed and active, but it does not subsume the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10446 is the best global representative only in the sense that it is a concrete, active, well-described bug; however, the cluster is too diverse for it to serve as a true umbrella duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3043", + "right": "issue:6132", + "accept": false, + "reason": "Different requests: adding ODISE vs adding LOADABLE_CLASSES support. No shared bug or fix path." + }, + { + "left": "issue:3065", + "right": "issue:7043", + "accept": false, + "reason": "Both touch DreamBooth/LoRA-adjacent training, but one asks for a LoRA text-encoder option and the other is about custom captions. Not the same issue." + }, + { + "left": "issue:4756", + "right": "issue:5432", + "accept": false, + "reason": "Training-style support for StableUnCLIP is unrelated to blank validation images in SDXL LoRA training." + }, + { + "left": "issue:6354", + "right": "issue:9926", + "accept": false, + "reason": "LoRA support for ControlNet and gguf quantize/speedup support are unrelated feature requests." + }, + { + "left": "issue:6359", + "right": "issue:7079", + "accept": false, + "reason": "Scheduler velocity/add_noise behavior is unrelated to Transformer2DModel patch/norm_type layer_norm errors." + }, + { + "left": "issue:9047", + "right": "issue:9178", + "accept": false, + "reason": "MPS execution failure for Flux and PEFT target-module errors in Flux LoRA training are different problems in different code paths." + }, + { + "left": "issue:10191", + "right": "issue:10446", + "accept": false, + "reason": "GPU selection misrouting in training is not the same as FluxControlNetPipeline multi-gpu/model-sharding incompatibility." + }, + { + "left": "issue:5399", + "right": "issue:8241", + "accept": false, + "reason": "Custom inpainting dtype mismatch and abnormal LEDITS++ model size are unrelated bugs." + }, + { + "left": "issue:2722", + "right": "issue:6176", + "accept": false, + "reason": "ControlNet conversion mismatch is unrelated to loading LoRA weights after DreamBooth LoRA training." + }, + { + "left": "issue:10311", + "right": "issue:10963", + "accept": false, + "reason": "Import error in train_dreambooth.py and missing AutoencoderKLWan import are different import failures with different causes." + }, + { + "left": "issue:2961", + "right": "issue:3604", + "accept": false, + "reason": "StableUnCLIP training example request is not the same as loss not decreasing during finetuning." + }, + { + "left": "issue:3191", + "right": "issue:3960", + "accept": false, + "reason": "DreamBooth+LoRA breakage is not the same as the LoRA HeaderTooLarge serialization issue." + }, + { + "left": "issue:3223", + "right": "issue:6157", + "accept": false, + "reason": "Memory not being cleared after moving pipeline to CUDA is unrelated to IP-Adapter not working in ControlNetImg2ImgPipeline." + }, + { + "left": "issue:3325", + "right": "issue:4801", + "accept": false, + "reason": "CUDA invalid-argument in DreamBooth training and mixed-precision bug in unconditional training are distinct training failures." + }, + { + "left": "issue:3377", + "right": "issue:5654", + "accept": false, + "reason": "A question about SNR weighting optimization is not the same as the Min-SNR v-prediction feature request." + }, + { + "left": "issue:3390", + "right": "issue:4665", + "accept": false, + "reason": "Loading local safetensors and Windows use_safetensors fallback behavior are different file-loading issues." + }, + { + "left": "issue:4969", + "right": "issue:5061", + "accept": false, + "reason": "CrossAttention import failure and convert_original_stable_diffusion_to_diffusers config argument error are unrelated import/CLI problems." + }, + { + "left": "issue:5025", + "right": "issue:770", + "accept": false, + "reason": "Missing randn_tensor import is unrelated to Colab not starting training." + }, + { + "left": "issue:5079", + "right": "issue:9397", + "accept": false, + "reason": "LoRA loader support for LyCORIS and SGMUniform scheduler support for Hyper-LoRAs are different feature requests." + }, + { + "left": "issue:5112", + "right": "issue:6996", + "accept": false, + "reason": "A torch.Size float/int construction error in SDXL ControlNet Img2Img is unrelated to a NoneType added_cond_kwargs error." + }, + { + "left": "issue:514", + "right": "issue:656", + "accept": false, + "reason": "Attention slicing runtime error and 16GB DreamBooth training error are not the same bug." + }, + { + "left": "issue:5873", + "right": "issue:9424", + "accept": false, + "reason": "ONNX export failure for scaled_dot_product_attention is unrelated to the broken DreamBooth LoRA notebook." + }, + { + "left": "issue:8824", + "right": "issue:8939", + "accept": false, + "reason": "Custom instruct-pix2pix dataset support and SD3 tokenizer load failure are different topics." + }, + { + "left": "issue:10178", + "right": "issue:8405", + "accept": false, + "reason": "A 3D U-Net dimension mismatch and multiple ControlNets tensor size error are different shape-mismatch reports with different 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": 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-50-3013", + "nodes": [ + "issue:1070", + "issue:11000", + "issue:11006", + "issue:11470", + "issue:12895", + "issue:13124", + "issue:1746", + "issue:1817", + "issue:1821", + "issue:1944", + "issue:2392", + "issue:2444", + "issue:2579", + "issue:2737", + "issue:3032", + "issue:3103", + "issue:3287", + "issue:3468", + "issue:3551", + "issue:3767", + "issue:3880", + "issue:4418", + "issue:4446", + "issue:4589", + "issue:4648", + "issue:4871", + "issue:4912", + "issue:4964", + "issue:5336", + "issue:5646", + "issue:5685", + "issue:5777", + "issue:5890", + "issue:617", + "issue:6321", + "issue:6481", + "issue:671", + "issue:7228", + "issue:7264", + "issue:7904", + "issue:8535", + "issue:8556", + "issue:8809", + "issue:917", + "issue:9674", + "issue:987", + "issue:9946", + "issue:9962" + ], + "soft_pairs": [ + "issue:12895|issue:2392", + "issue:3103|issue:917", + "issue:4964|issue:671", + "issue:11000|issue:9962", + "issue:11470|issue:13124", + "issue:2737|issue:3287", + "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" + ], + "prepared_review_unit_hash": "d607374e04700579993f0c55c1decde2b5f7fa44931de637eb67a161d41493fe", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is mostly heterogeneous: the items span unrelated bugs, feature requests, and training/model-loading issues. The only near-duplicate pair is the SD3 xformers enablement report. No PRs were provided.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 8535 is the best canonical for the only true duplicate-like theme here: it directly names the SD3 xformers enablement problem and is the more specific representative of that pair.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11006 is the strongest standalone issue overall: it has a concrete Wan 2.1 I2V failure mode, a specific pipeline, and a clear bug report that looks actionable on its own.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12895", + "right": "issue:2392", + "accept": false, + "reason": "Both are prompt/embed-related runtime errors, but they affect different pipelines and different failure modes; not the same underlying bug." + }, + { + "left": "issue:3103", + "right": "issue:917", + "accept": false, + "reason": "Both mention inpainting, but one is about height/width handling and the other about ONNX inpainting errors; too different to be duplicates." + }, + { + "left": "issue:4964", + "right": "issue:671", + "accept": false, + "reason": "Both concern model conversion, but one is about SDXL conversion generally and the other about original Stable Diffusion conversion outputs not matching; different bugs." + }, + { + "left": "issue:11000", + "right": "issue:9962", + "accept": false, + "reason": "Both are argument/signature errors, but they involve different APIs and different missing kwargs; not the same code-path problem." + }, + { + "left": "issue:11470", + "right": "issue:13124", + "accept": false, + "reason": "Training script issues, but one is about tensorboard log images and the other about FP16 gradient unscale during validation; unrelated failure modes." + }, + { + "left": "issue:2737", + "right": "issue:3287", + "accept": false, + "reason": "Both are scheduler-related feature requests, but one is CLIP guidance support and the other is improved DDPM support; not the same change." + }, + { + "left": "issue:4589", + "right": "issue:5336", + "accept": false, + "reason": "Both touch ControlNet img2img/inpaint, but one is about XL pipeline support and the other about a missing strength parameter; different requests." + }, + { + "left": "issue:4648", + "right": "issue:5777", + "accept": false, + "reason": "One is a missing config.json load error, the other is a DreamBooth training failure; no shared underlying bug." + }, + { + "left": "issue:7904", + "right": "issue:8535", + "accept": false, + "reason": "Both mention scheduler/xformers-adjacent behavior, but one is sigmas mutating after forward and the other is xformers enablement in SD3; different problems." + }, + { + "left": "issue:4418", + "right": "issue:5890", + "accept": false, + "reason": "One is a denoising_start behavior bug in SDXL inpaint; the other is a tokenizer length warning during text-to-image inference; unrelated." + }, + { + "left": "issue:4446", + "right": "issue:4871", + "accept": false, + "reason": "Both involve from_single_file/custom loading, but one is about a custom text encoder and the other about how to run SDXL from_single_file; not the same defect." + }, + { + "left": "issue:2579", + "right": "issue:3551", + "accept": false, + "reason": "Both mention xFormers, but one is a possible misuse/bug report and the other is LoRA disabling xFormers; different code paths." + }, + { + "left": "issue:6481", + "right": "issue:9674", + "accept": false, + "reason": "Training batch-size behavior in DreamBooth is unrelated to SD3 ControlNet training quality." + }, + { + "left": "issue:7228", + "right": "issue:8556", + "accept": false, + "reason": "Both are load-time errors, but one concerns traced model dtype and the other meta tensor copying in SD3 from_single_file; different causes." + }, + { + "left": "issue:1070", + "right": "issue:3880", + "accept": false, + "reason": "Both are inpainting complaints, but one is a generic new-version bug report and the other is specifically degraded unmasked areas; not clearly the same bug." + }, + { + "left": "issue:11006", + "right": "issue:8809", + "accept": false, + "reason": "Wan I2V broken output is not the same issue as feedforward outputs changing with sequence length; different model behavior." + }, + { + "left": "issue:1817", + "right": "issue:1944", + "accept": false, + "reason": "DreamBooth scheduler argument error versus random generation results; one is a crash, the other is a quality/conditioning complaint." + }, + { + "left": "issue:3767", + "right": "issue:617", + "accept": false, + "reason": "FrozenDict mutability and NNPACK unsupported hardware are unrelated." + }, + { + "left": "issue:4912", + "right": "issue:7264", + "accept": false, + "reason": "Both are about custom models, but one is SDXL checkpoint conversion and the other is serializing/loading custom transformers in DiffusionPipeline; not the same bug." + }, + { + "left": "issue:8535", + "right": "issue:9946", + "accept": true, + "reason": "These are effectively the same xformers memory-efficient-attention issue, both centered on enabling that functionality in the pipeline, with nearly identical wording." + }, + { + "left": "issue:1746", + "right": "issue:2444", + "accept": false, + "reason": "Both involve training/inference scripts, but the reported errors and scripts are different and do not point to the same defect." + }, + { + "left": "issue:1821", + "right": "issue:3032", + "accept": false, + "reason": "Negative prompt ineffectiveness in inpainting and a missing from_pretrained attribute are unrelated." + }, + { + "left": "issue:1821", + "right": "issue:987", + "accept": false, + "reason": "Inpaint negative-prompt behavior and speech-to-image green output are different issues." + }, + { + "left": "issue:5646", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a specific stability comparison on a model and the other is a vague potential scheduler issue; not enough to treat as one bug." + }, + { + "left": "issue:3468", + "right": "issue:6321", + "accept": false, + "reason": "One is missing model_index.json after DreamBooth, the other is clip-vit-large-patch14 detection; different loading/training problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The single accepted duplicate pair (issue:8535/issue:9946) is well supported by the titles, and the rest of the verdicts do not overstate similarity. No PR-pair concerns apply because no PRs were 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": 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-50-3013", + "nodes": [ + "issue:10154", + "issue:10302", + "issue:11574", + "issue:11833", + "issue:1249", + "issue:1434", + "issue:2091", + "issue:2722", + "issue:2851", + "issue:3097", + "issue:3405", + "issue:4232", + "issue:4376", + "issue:4480", + "issue:4530", + "issue:4646", + "issue:4649", + "issue:4826", + "issue:5124", + "issue:5152", + "issue:5509", + "issue:5515", + "issue:5607", + "issue:5753", + "issue:5866", + "issue:5917", + "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:9106", + "issue:9332", + "issue:9539", + "issue:9690", + "issue:9846", + "issue:9911" + ], + "soft_pairs": [ + "issue:11574|issue:11833", + "issue:1434|issue:3097", + "issue:2722|issue:5917", + "issue:4232|issue:5866", + "issue:4376|issue:5753", + "issue:5515|issue:9332", + "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" + ], + "prepared_review_unit_hash": "aac22b934a476bf1f2338ec1b29e0f41923269109f89b4deb5e244990fcb4733", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "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": "This cluster is a loose collection of unrelated diffusers issues that only share superficial wording around pipelines, ControlNet, LoRA, or device/offload behavior. None of the soft-edge pairs looks like the same underlying bug or change, so they should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11574", + "right": "issue:11833", + "accept": false, + "reason": "Both mention LoRA-related errors, but one is a VAE checkpoint KeyError (`vae.encoder.conv_out.conv.weight`) and the other is `set_lora_device` reporting KeyError after LoRA load. Different code paths and failure modes." + }, + { + "left": "issue:1434", + "right": "issue:3097", + "accept": false, + "reason": "OOM during upscaling is a memory-capacity problem, while `load_textual_inversion` doing nothing is an adapter-loading behavior bug. Unrelated symptoms and subsystems." + }, + { + "left": "issue:2722", + "right": "issue:5917", + "accept": false, + "reason": "ControlNet conversion mismatch and `convert_ldm_unet_checkpoint` failing after a version upgrade are both conversion-related, but they concern different converters and different model artifacts." + }, + { + "left": "issue:4232", + "right": "issue:5866", + "accept": false, + "reason": "Instruct-pix2pix with controlnet condition vs AnimateDiff + ControlNet are different pipelines and different requested behaviors. Not the same bug." + }, + { + "left": "issue:4376", + "right": "issue:5753", + "accept": false, + "reason": "Both involve `load_textual_inversion`/LoRA-style loading, but one is an SDXL crash on textual inversion and the other is `load_lora_weights` failing on SDXL ControlNet. Different APIs and error classes." + }, + { + "left": "issue:5515", + "right": "issue:9332", + "accept": false, + "reason": "LCM pipeline scheduler initialization failure is unrelated to `StableDiffusionPipeline.from_pretrained()` loading the wrong weights. No shared concrete code-path." + }, + { + "left": "issue:4530", + "right": "issue:6686", + "accept": false, + "reason": "SDXL refiner image artifacts are an output-quality issue, while Dynamo compilation save/load losing performance is a compilation/cache behavior issue. Different problems." + }, + { + "left": "issue:4826", + "right": "issue:7562", + "accept": false, + "reason": "Multi-ControlNet errors in ControlNet Reference and `enable_model_cpu_offload` failing on SDXL ControlNet Img2Img are different feature combinations and different failure points." + }, + { + "left": "issue:10154", + "right": "issue:6639", + "accept": false, + "reason": "`load_lora_weights` attribute error vs LoRA loading producing different outputs than two-step loading. One is a crash, the other is a correctness mismatch." + }, + { + "left": "issue:4646", + "right": "issue:7240", + "accept": false, + "reason": "ControlNet-to-ONNX conversion failure and low-quality ImageNet conditional LDM conversion output are both conversion topics, but they are not the same bug." + }, + { + "left": "issue:5152", + "right": "issue:9106", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and PixArt-Alpha `time_step=1` attribute error are different models and different failure modes." + }, + { + "left": "issue:4649", + "right": "issue:7589", + "accept": false, + "reason": "`text_embeds` NoneType error in an SDXL/added-conditions path is unrelated to GLIGEN layout-to-image synthesis not working." + }, + { + "left": "issue:6280", + "right": "issue:9846", + "accept": false, + "reason": "Missing `from_single_file` on SDXL ControlNet Img2Img and missing `from_single_file` on FluxControlNetModel are the same API gap in a broad sense, but they are separate model families and separate feature requests; too broad to merge as one bug." + }, + { + "left": "issue:4480", + "right": "issue:8526", + "accept": false, + "reason": "MPS half-precision kernel crash on Mac M1 is unrelated to SD3 MPS `joint_attention_kwargs` scale being ineffective. Different backend issues and different symptoms." + }, + { + "left": "issue:2091", + "right": "issue:5124", + "accept": false, + "reason": "Checkpoint resume in multi-GPU training and a question about fine-tuning a safetensor checkpoint are not the same underlying bug." + }, + { + "left": "issue:9539", + "right": "issue:9911", + "accept": false, + "reason": "CogVideoX FP8 CUDA `index_select` failure is a specific dtype/kernel limitation, while Flux multi-ControlNet with differing layer lengths is a model-shape handling issue." + }, + { + "left": "issue:7415", + "right": "issue:7891", + "accept": false, + "reason": "TPU bfloat16 AutoencoderKL corruption and generic CPU/CUDA device mismatch are different hardware/device errors with different root causes." + }, + { + "left": "issue:4480", + "right": "issue:6807", + "accept": false, + "reason": "Mac M1 MPS runtime crash and test collection failures on MPS are both MPS-related, but one is an inference crash and the other is a contributor test collection issue." + }, + { + "left": "issue:5607", + "right": "issue:6090", + "accept": false, + "reason": "These are both tensor-shape runtime errors, but the reported mismatched dimensions and model contexts are different; no evidence of the same failing code path." + }, + { + "left": "issue:10302", + "right": "issue:9690", + "accept": false, + "reason": "FP8 inference noise report and FLUX FP8 example code cleanup are not the same bug; one is a model-quality concern, the other is documentation/example maintenance." + }, + { + "left": "issue:3405", + "right": "issue:6109", + "accept": false, + "reason": "ControlNet training bug and ControlNet-xs with depth control are different training/model-variant issues with no clear overlap." + }, + { + "left": "issue:1249", + "right": "issue:5509", + "accept": false, + "reason": "ONNX pipeline `numpy.ndarray` missing `.device` and image batch-size mismatch for np/cv2 inputs are distinct input-handling bugs." + }, + { + "left": "issue:2851", + "right": "issue:898", + "accept": false, + "reason": "TPU `push_to_hub` failure is about training workflow on TPU, while the bfloat16 scalar-type exception is a lower-level dtype/device issue. Not the same change." + }, + { + "left": "issue:7690", + "right": "issue:7939", + "accept": false, + "reason": "Tokenizer loading failure for SDXL base and loading a model from the same folder are different loading problems with different assets and 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": 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-50-3013", + "nodes": [ + "issue:10421", + "issue:10855", + "issue:10913", + "issue:11000", + "issue:1101", + "issue:11127", + "issue:1117", + "issue:11214", + "issue:11470", + "issue:11675", + "issue:1181", + "issue:1197", + "issue:11989", + "issue:12437", + "issue:12505", + "issue:12633", + "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:3418", + "issue:3428", + "issue:3480", + "issue:3769", + "issue:3902", + "issue:5170", + "issue:5336", + "issue:6958", + "issue:725", + "issue:7497", + "issue:8659", + "issue:9052", + "issue:9331", + "issue:939", + "issue:968", + "issue:9772" + ], + "soft_pairs": [ + "issue:10421|issue:12505", + "issue:10855|issue:12633", + "issue:10913|issue:11675", + "issue:11000|issue:11214", + "issue:1101|issue:3418", + "issue:11127|issue:9052", + "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" + ], + "prepared_review_unit_hash": "a6e6cf8a000d40b80684b552e08db33d9c1d07ab6e1629f59fa433e5e94ecd31", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33164, + "estimated_input_tokens": 8291, + "estimated_eval_tokens": 16838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue titles; the only plausible duplicate pair is the two CivitAI `from_single_file` loading failures, with one being a specific Flux checkpoint instance of the other.", + "confidence": 0.93, + "canonical_issue_reason": "#9052 is the broader, cleaner description of the shared bug: `from_single_file` fails on certain CivitAI checkpoints. #11127 reads like a specific example of that loader failure.", + "canonical_pr_reason": null, + "best_issue_reason": "#9052 is the best representative issue because it states the underlying loading problem more generally and can subsume the more specific checkpoint report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10421", + "right": "issue:12505", + "accept": false, + "reason": "Different problems: GPU pipeline migration memory leak vs img2img `tgate` runtime error." + }, + { + "left": "issue:10855", + "right": "issue:12633", + "accept": false, + "reason": "Unrelated training/scheduler behaviors: gradient accumulation optimizer stepping vs DDIM timestep mismatch." + }, + { + "left": "issue:10913", + "right": "issue:11675", + "accept": false, + "reason": "Both mention loading, but one is dataset-from-disk behavior and the other is pretrained LoRA weight loading." + }, + { + "left": "issue:11000", + "right": "issue:11214", + "accept": false, + "reason": "Different model APIs and failures: missing `shift` arg vs unexpected `encoder_hidden_states` keyword." + }, + { + "left": "issue:1101", + "right": "issue:3418", + "accept": false, + "reason": "Separate feature requests for different components: scheduler addition vs LoRA training script changes." + }, + { + "left": "issue:11127", + "right": "issue:9052", + "accept": true, + "reason": "Both report `from_single_file` failures on CivitAI checkpoints; #11127 is a specific Flux-model instance of the broader loader bug." + }, + { + "left": "issue:1117", + "right": "issue:202", + "accept": false, + "reason": "Tests for multiple negative prompts vs tests for `unet_blocks` are unrelated." + }, + { + "left": "issue:11470", + "right": "issue:8659", + "accept": false, + "reason": "Different SDXL training-script concerns: tensorboard image logging vs checkpoint resume/inference loading." + }, + { + "left": "issue:1181", + "right": "issue:725", + "accept": false, + "reason": "Generic training-from-scratch request vs model-loading memory footprint improvement." + }, + { + "left": "issue:1197", + "right": "issue:939", + "accept": false, + "reason": "Community pipeline request vs using multiple community pipes in a list are distinct features." + }, + { + "left": "issue:11989", + "right": "issue:9331", + "accept": false, + "reason": "Black output image issue vs scheduler index lookup bug are different code paths." + }, + { + "left": "issue:12437", + "right": "issue:9772", + "accept": false, + "reason": "Both are support requests, but for different models/features (OmniSVG vs ControlNetPlus Union)." + }, + { + "left": "issue:1407", + "right": "issue:1821", + "accept": false, + "reason": "Different pipeline regressions: ONNX feature_extractor error vs weak negative_prompt effect in inpainting." + }, + { + "left": "issue:1478", + "right": "issue:3769", + "accept": false, + "reason": "Different image-shape/output bugs in different pipelines." + }, + { + "left": "issue:177", + "right": "issue:244", + "accept": false, + "reason": "Unrelated documentation tasks." + }, + { + "left": "issue:1857", + "right": "issue:2871", + "accept": false, + "reason": "Different pipeline bugs: test coverage for UnCLIP vs latent output handling in inpainting." + }, + { + "left": "issue:2392", + "right": "issue:3428", + "accept": false, + "reason": "Both involve img2img, but the concrete failures differ and don\u2019t look like the same bug." + }, + { + "left": "issue:2462", + "right": "issue:2737", + "accept": false, + "reason": "Different feature requests in training data loading vs scheduler guidance support." + }, + { + "left": "issue:2782", + "right": "issue:968", + "accept": false, + "reason": "Offloading error vs model loading slowness are not the same underlying issue." + }, + { + "left": "issue:3162", + "right": "issue:6958", + "accept": false, + "reason": "Different missing-argument/model-architecture issues." + }, + { + "left": "issue:3280", + "right": "issue:3391", + "accept": false, + "reason": "Both are DeepFloyd-related, but one is scheduler compatibility and the other is image overexposure." + }, + { + "left": "issue:3480", + "right": "issue:5170", + "accept": false, + "reason": "LoRA scaling support request vs removing LoRA after load are different behaviors." + }, + { + "left": "issue:3480", + "right": "issue:5336", + "accept": false, + "reason": "Different parameter requests for different pipelines." + }, + { + "left": "issue:3902", + "right": "issue:7497", + "accept": false, + "reason": "Unrelated feature requests." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The canonical pair choice is grounded in the packet: #11127 and #9052 both concern `from_single_file` loading failures with CivitAI checkpoints, with #11127 reading as a specific instance of the broader #9052 bug. The rest of the soft-edge rejections are conservative and supported by the titles; 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": 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-50-3013", + "nodes": [ + "issue:11973", + "issue:13256", + "issue:1540", + "issue:1709", + "issue:1941", + "issue:2091", + "issue:2213", + "issue:2265", + "issue:2412", + "issue:2799", + "issue:2966", + "issue:3379", + "issue:3591", + "issue:4109", + "issue:4446", + "issue:4453", + "issue:4483", + "issue:4674", + "issue:4985", + "issue:5112", + "issue:5465", + "issue:5963", + "issue:5977", + "issue:6001", + "issue:6028", + "issue:6162", + "issue:6518", + "issue:6565", + "issue:6783", + "issue:6832", + "issue:6880", + "issue:7102", + "issue:7168", + "issue:7178", + "issue:7450", + "issue:7485", + "issue:7708", + "issue:8380", + "issue:8909", + "issue:9138", + "issue:9210", + "issue:9227", + "issue:9320", + "issue:9350", + "issue:9637", + "issue:9756", + "issue:988" + ], + "soft_pairs": [ + "issue:4109|issue:6001", + "issue:4446|issue:6880", + "issue:4453|issue:988", + "issue:5112|issue:7485", + "issue:5963|issue:7168", + "issue:5977|issue:9756", + "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" + ], + "prepared_review_unit_hash": "414f232d87fe1cde6feb8f1c2f25e0d13198654173d0fec04bf97e9cca814a98", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33678, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous; the proposed soft pairs do not look like the same underlying bug or change. Most are unrelated training, pipeline, model-loading, or environment issues, so no pair should be merged as duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "issue:11973 is the most specific and actionable report: a concrete CLI failure in a named training script with a clear missing-argument error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11973 is the best anchor for the cluster because it is narrowly scoped, reproducible, and easy to triage; the other issues are broader or about different code paths.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4109", + "right": "issue:6001", + "accept": false, + "reason": "Both mention SDXL inpaint pipelines, but one is a general pipeline failure and the other is a from_single_file refiner-type mixup; different bugs." + }, + { + "left": "issue:4446", + "right": "issue:6880", + "accept": false, + "reason": "Custom text_encoder loading vs. custom diffusion retrieve script; unrelated failure modes and code paths." + }, + { + "left": "issue:4453", + "right": "issue:988", + "accept": false, + "reason": "LoRA conversion/export issue versus an old FSDP training question; same broad area but not the same bug." + }, + { + "left": "issue:5112", + "right": "issue:7485", + "accept": false, + "reason": "Different pipelines and errors: SDXL ControlNet shape/type issue vs setting safety_checker to None causing callable error." + }, + { + "left": "issue:5963", + "right": "issue:7168", + "accept": false, + "reason": "Kandinsky embeds-vs-prompts behavior and IP-Adapter image embeds handling are distinct API/data-shape problems." + }, + { + "left": "issue:5977", + "right": "issue:9756", + "accept": false, + "reason": "Saving LoRA key names and missing notebook file are unrelated." + }, + { + "left": "issue:6162", + "right": "issue:6832", + "accept": false, + "reason": "IP-Adapter shape mismatch on SDXL and Face ID community pipeline tuple/shape error are different implementations and symptoms." + }, + { + "left": "issue:6518", + "right": "issue:9138", + "accept": false, + "reason": "A training script NoneType floor-division bug is unrelated to a generic int/string comparison error." + }, + { + "left": "issue:7102", + "right": "issue:7450", + "accept": false, + "reason": "ControlNet multi-prompt bug and AutoencoderKL multithreading issue affect different components and code paths." + }, + { + "left": "issue:8380", + "right": "issue:9210", + "accept": false, + "reason": "A forward-signature default-value change and an image_column validation error are not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:2213", + "accept": false, + "reason": "Checkpoint resume/multi-GPU training issue vs TPU distributed-environment hang; different runtime setups and failures." + }, + { + "left": "issue:2799", + "right": "issue:5465", + "accept": false, + "reason": "Checkpoint/pipeline mismatch validation and DiffEdit inpaint_strength limitation are separate correctness checks." + }, + { + "left": "issue:1540", + "right": "issue:2412", + "accept": false, + "reason": "Missing MODEL_TYPE in transformers/dreambooth execution is different from a generic dreambooth error report." + }, + { + "left": "issue:9350", + "right": "issue:9637", + "accept": false, + "reason": "txt_ids tensor deprecation and xFormers attention-mask/bfloat16 failure are unrelated tensor-shape/backend issues." + }, + { + "left": "issue:6565", + "right": "issue:8909", + "accept": false, + "reason": "DPO diffusion training instability is not the same as saving text_encoder_ti in a LoRA training script." + }, + { + "left": "issue:3591", + "right": "issue:6565", + "accept": false, + "reason": "ControlNet loss-curve confusion is a different training behavior issue than DPO diffusion loss spikes." + }, + { + "left": "issue:4674", + "right": "issue:6028", + "accept": false, + "reason": "DiffusionPipeline width/height memory leak and Kandinsky 3.0 OOM are both memory-related but not the same bug." + }, + { + "left": "issue:1709", + "right": "issue:2265", + "accept": false, + "reason": "ONNX img2img tensor.astype error and ONNXRuntime incompatibility in unconditional training are distinct compatibility issues." + }, + { + "left": "issue:4483", + "right": "issue:6783", + "accept": false, + "reason": "Nondeterministic SDXL generator arguments and PixArt-XL generations being messed up are different model/output problems." + }, + { + "left": "issue:2966", + "right": "issue:4985", + "accept": false, + "reason": "Multi-GPU InstructPix2Pix training trouble and SDXL InstructPix2Pix OOM are different failure modes." + }, + { + "left": "issue:1941", + "right": "issue:3379", + "accept": false, + "reason": "UnCLIP custom pipeline loading and Dreambooth intermediate checkpoint loading are unrelated loading/resume issues." + }, + { + "left": "issue:11973", + "right": "issue:9227", + "accept": false, + "reason": "Both are Flux DreamBooth training reports, but one is a missing required CLI argument in kontext and the other is a model-specific training problem; not the same concrete bug." + }, + { + "left": "issue:7178", + "right": "issue:9320", + "accept": false, + "reason": "export_to_video malfunction and custom diffusion save/load issues are unrelated." + }, + { + "left": "issue:13256", + "right": "issue:7708", + "accept": false, + "reason": "A package version-compatibility complaint and a missing tokenizer/config.json file 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": 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-50-3013", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10638", + "issue:10803", + "issue:10804", + "issue:11169", + "issue:13035", + "issue:1407", + "issue:1784", + "issue:2185", + "issue:2213", + "issue:2250", + "issue:2410", + "issue:2737", + "issue:3381", + "issue:3788", + "issue:4037", + "issue:4139", + "issue:4219", + "issue:4456", + "issue:4488", + "issue:4720", + "issue:4868", + "issue:5017", + "issue:5178", + "issue:5628", + "issue:5794", + "issue:5875", + "issue:5932", + "issue:5957", + "issue:6176", + "issue:6363", + "issue:6368", + "issue:6445", + "issue:6517", + "issue:6533", + "issue:6801", + "issue:7012", + "issue:7183", + "issue:7243", + "issue:7330", + "issue:7569", + "issue:7751", + "issue:817", + "issue:8612", + "issue:9186", + "issue:9461", + "issue:9619" + ], + "soft_pairs": [ + "issue:4219|issue:4488", + "issue:4456|issue:4868", + "issue:2250|issue:3381", + "issue:2185|issue:5794", + "issue:1407|issue:5875", + "issue:5628|issue:7183", + "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" + ], + "prepared_review_unit_hash": "b2eed5d0907c61693a5e62d1883a85cd090a4fb171d9e594114c3ae077b028f1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34306, + "estimated_input_tokens": 8577, + "estimated_eval_tokens": 17410 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: most items are unrelated issues that only share broad terms like scheduler, ControlNet, LoRA, or precision. None of the proposed soft pairs look like true duplicates.", + "confidence": 0.61, + "canonical_issue_reason": "issue:10302 is the clearest, broadest representative of the only recurring theme here: precision-related inference quality/regression. It is also open and well-scoped.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10302 is the best single issue to anchor this cluster because it is specific, actionable, and closest to the small precision/inference subtheme present among otherwise unrelated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4219", + "right": "issue:4488", + "accept": false, + "reason": "One is about ControlNet checkpoint conversion; the other is about SDXL checkpoint loading. Same broad area, different bug." + }, + { + "left": "issue:4456", + "right": "issue:4868", + "accept": false, + "reason": "Both are loader/runtime attribute errors, but they describe different failing code paths and different root causes." + }, + { + "left": "issue:2250", + "right": "issue:3381", + "accept": false, + "reason": "Dreambooth prompt-generation failure vs inpaint batch discoloration/docs issue; not the same defect." + }, + { + "left": "issue:2185", + "right": "issue:5794", + "accept": false, + "reason": "Missing training config files vs missing tokenizer config for SDXL; related ecosystem, but different artifacts and problems." + }, + { + "left": "issue:1407", + "right": "issue:5875", + "accept": false, + "reason": "ONNX pipeline feature_extractor error vs SDXL ONNX prompt conversion error; not a duplicate bug." + }, + { + "left": "issue:5628", + "right": "issue:7183", + "accept": false, + "reason": "Scheduler denoising offset behavior and scheduler class-name reporting are unrelated issues." + }, + { + "left": "issue:4037", + "right": "issue:7751", + "accept": false, + "reason": "ControlNet FSDP validation errors vs Animatediff conversion errors; different pipelines and failure modes." + }, + { + "left": "issue:6363", + "right": "issue:6445", + "accept": false, + "reason": "FP16 unscale gradient error is unrelated to caption_column validation." + }, + { + "left": "issue:2213", + "right": "issue:2410", + "accept": false, + "reason": "TPU distributed hang vs missing flax/pytorch model files; both training-related, but not the same bug." + }, + { + "left": "issue:10467", + "right": "issue:10804", + "accept": false, + "reason": "Example-code filename/build artifact issue vs LoRA load failure; different FLUX problems." + }, + { + "left": "issue:7012", + "right": "issue:7330", + "accept": false, + "reason": "Weird images from v_prediction vs FP16 unscale error; distinct training/inference failures." + }, + { + "left": "issue:10803", + "right": "issue:7243", + "accept": false, + "reason": "A new model/pipeline request vs a different new adapter request; not a shared underlying change." + }, + { + "left": "issue:11169", + "right": "issue:13035", + "accept": false, + "reason": "Binary incompatibility during import vs missing MT5Tokenizer import; both import failures, different causes." + }, + { + "left": "issue:1784", + "right": "issue:2737", + "accept": false, + "reason": "Multiple timesteps support request vs CLIP guidance support request; same scheduler family, but separate features." + }, + { + "left": "issue:3788", + "right": "issue:6533", + "accept": false, + "reason": "UniControl pipeline request vs Marigold pipeline request; unrelated model additions." + }, + { + "left": "issue:4139", + "right": "issue:817", + "accept": false, + "reason": "Both mention precision, but one is a custom attention processor cast issue and the other is a Dreambooth mixed-precision problem." + }, + { + "left": "issue:5017", + "right": "issue:9186", + "accept": false, + "reason": "Control mode feature request vs Differential Diffusion with ControlNet pipeline; same subsystem, but different change requests." + }, + { + "left": "issue:5957", + "right": "issue:9619", + "accept": false, + "reason": "LoRACompatibleConv padding-mode support and ControlNet interrupt support are unrelated." + }, + { + "left": "issue:5932", + "right": "issue:6176", + "accept": false, + "reason": "Channel-mismatch inference error vs LoRA weight loading after Dreambooth training; different failure points." + }, + { + "left": "issue:10302", + "right": "issue:9461", + "accept": false, + "reason": "FP8 inference noise and vague Flux inference issue are not clearly the same bug." + }, + { + "left": "issue:4720", + "right": "issue:8612", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility vs Pixart-sigma mixed-precision inference; different models and defects." + }, + { + "left": "issue:5178", + "right": "issue:7569", + "accept": false, + "reason": "DPM-SDE resolution-change bug vs Mac test failure for FreeU; no shared underlying issue." + }, + { + "left": "issue:6368", + "right": "issue:6517", + "accept": false, + "reason": "Unsupported LoRA alpha checkpoint vs ControlNet img2img import failure; unrelated." + }, + { + "left": "issue:10638", + "right": "issue:6801", + "accept": false, + "reason": "Running a specific SDXL scheduler example and loading a scheduler in diffusers 0.26.0 are related only at a broad level, 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": 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-50-3013", + "nodes": [ + "issue:10035", + "issue:10963", + "issue:1099", + "issue:11047", + "issue:11885", + "issue:1255", + "issue:12606", + "issue:13162", + "issue:1519", + "issue:2097", + "issue:2674", + "issue:3901", + "issue:4206", + "issue:4266", + "issue:4578", + "issue:4631", + "issue:4701", + "issue:5485", + "issue:5553", + "issue:5598", + "issue:5605", + "issue:5743", + "issue:5917", + "issue:5919", + "issue:6093", + "issue:6162", + "issue:6399", + "issue:6529", + "issue:6574", + "issue:6949", + "issue:7061", + "issue:7221", + "issue:7239", + "issue:7418", + "issue:7575", + "issue:7695", + "issue:7735", + "issue:7950", + "issue:8451", + "issue:8502", + "issue:8551", + "issue:8613", + "issue:8850", + "issue:9336", + "issue:9477", + "issue:9568", + "issue:9889" + ], + "soft_pairs": [ + "issue:10963|issue:12606", + "issue:1099|issue:1255", + "issue:2674|issue:3901", + "issue:4578|issue:7221", + "issue:5919|issue:9477", + "issue:6093|issue:6399", + "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" + ], + "prepared_review_unit_hash": "bed2c4d2e7937859507771abd93d95e229cf8ddb939da8f81f0ca5b32d347c0c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33294, + "estimated_input_tokens": 8324, + "estimated_eval_tokens": 16904 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster; it spans many unrelated bugs, docs issues, training problems, import errors, and model-specific regressions. All soft-edge pairs are only loosely similar by subsystem or model family, not the same underlying change or failure.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: the items are heterogeneous and do not describe one shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to choose a representative issue, 11885 is the most detailed and diagnostic report, but it still does not represent the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10963", + "right": "issue:12606", + "accept": false, + "reason": "Both are import-related, but one is a missing exported class and the other is a wrong script import path; different fixes." + }, + { + "left": "issue:1099", + "right": "issue:1255", + "accept": false, + "reason": "Different missing symbols in different classes; same generic import-error pattern, not the same bug." + }, + { + "left": "issue:2674", + "right": "issue:3901", + "accept": false, + "reason": "One is a missing dependency for LoRA support; the other is a missing requirements file. Not the same issue." + }, + { + "left": "issue:4578", + "right": "issue:7221", + "accept": false, + "reason": "Documentation omission versus noisy image generation; unrelated problems." + }, + { + "left": "issue:5919", + "right": "issue:9477", + "accept": false, + "reason": "Different runtime failures in different code paths; no clear shared root cause." + }, + { + "left": "issue:6093", + "right": "issue:6399", + "accept": false, + "reason": "One is a push-to-hub repo-creation bug in a training script, the other is LoRA visibility in UIs." + }, + { + "left": "issue:7061", + "right": "issue:7418", + "accept": false, + "reason": "Docstring mismatch versus a code bug in a community pipeline; not the same defect." + }, + { + "left": "issue:8451", + "right": "issue:9336", + "accept": false, + "reason": "Both mention training internals, but one concerns frozen UNet params and the other requires_grad on IPAdapter layers." + }, + { + "left": "issue:11885", + "right": "issue:13162", + "accept": false, + "reason": "Same model family, but one reports a LoRA loading bug and the other requests LoRA support; different underlying change." + }, + { + "left": "issue:4631", + "right": "issue:6949", + "accept": false, + "reason": "Both involve the scheduler, but the symptoms and triggers differ enough that they are not the same bug." + }, + { + "left": "issue:2097", + "right": "issue:6162", + "accept": false, + "reason": "UNet1D usage problem versus SDXL IP-Adapter shape mismatch; unrelated code paths." + }, + { + "left": "issue:7735", + "right": "issue:8613", + "accept": false, + "reason": "Caption-column validation error versus OOM during caption-based training; different failure modes." + }, + { + "left": "issue:5553", + "right": "issue:5917", + "accept": false, + "reason": "Custom model loading failure versus a checkpoint conversion regression after upgrade; not the same issue." + }, + { + "left": "issue:11047", + "right": "issue:8502", + "accept": false, + "reason": "Different pipeline/model support requests; no shared concrete bug." + }, + { + "left": "issue:1519", + "right": "issue:5485", + "accept": false, + "reason": "Apple M2 noisy outputs versus slow ControlNet batch inference; same broad area only." + }, + { + "left": "issue:4701", + "right": "issue:7575", + "accept": false, + "reason": "Autoencoder decoder CUDA/dtype error versus Transformer2DModel shape error; distinct bugs." + }, + { + "left": "issue:5598", + "right": "issue:9477", + "accept": false, + "reason": "A text-encoder modification bug versus a callable error in GatheredParameters; no common code failure." + }, + { + "left": "issue:5605", + "right": "issue:6529", + "accept": false, + "reason": "Dreambooth per-image caption support request versus an SDXL inpaint topic; unrelated." + }, + { + "left": "issue:5743", + "right": "issue:8551", + "accept": false, + "reason": "Training stuck at 0% versus VAE latent device placement in inpaint; different root causes." + }, + { + "left": "issue:10035", + "right": "issue:9568", + "accept": false, + "reason": "Both concern CogVideoX VAE/autoencoder, but memory regression and reconstruction failure are different bugs." + }, + { + "left": "issue:7950", + "right": "issue:9889", + "accept": false, + "reason": "Torch/Diffusers incompatibility versus a segmentation fault on a specific torch build; not the same defect." + }, + { + "left": "issue:4266", + "right": "issue:7239", + "accept": false, + "reason": "Mac SDXL broadcast issue versus Dreambooth LoRA matmul shape mismatch; different models and failures." + }, + { + "left": "issue:6574", + "right": "issue:7695", + "accept": false, + "reason": "SVD pipeline warning versus IP-Adapter mask handling warning; same area of attention code but not one bug." + }, + { + "left": "issue:4206", + "right": "issue:8850", + "accept": false, + "reason": "ControlNet SDXL training breakage versus community pipeline mirror broken; unrelated 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": 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-50-3013", + "nodes": [ + "issue:10303", + "issue:10596", + "issue:11436", + "issue:11497", + "issue:11839", + "issue:12610", + "issue:1405", + "issue:1746", + "issue:1964", + "issue:2044", + "issue:2392", + "issue:2786", + "issue:2966", + "issue:3182", + "issue:3287", + "issue:3401", + "issue:3854", + "issue:3958", + "issue:3970", + "issue:3975", + "issue:4241", + "issue:4255", + "issue:4269", + "issue:4353", + "issue:4383", + "issue:4438", + "issue:4993", + "issue:5079", + "issue:5171", + "issue:5335", + "issue:5368", + "issue:5372", + "issue:5429", + "issue:5570", + "issue:579", + "issue:5980", + "issue:6161", + "issue:6486", + "issue:7914", + "issue:7968", + "issue:8393", + "issue:8482", + "issue:8507", + "issue:8543", + "issue:861", + "issue:8615", + "issue:9241", + "issue:9926" + ], + "soft_pairs": [ + "issue:10596|issue:11839", + "issue:1964|issue:5429", + "issue:2044|issue:2966", + "issue:2786|issue:861", + "issue:3287|issue:4241", + "issue:3287|issue:5079", + "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" + ], + "prepared_review_unit_hash": "75f4b330573ec9a0ba7c71b4b54c9a769b4050a7739239596282e7403376c814", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34064, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 + }, + "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 many unrelated Diffusers bugs, feature requests, and training/runtime errors. 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not the same bug or patch." + }, + { + "left": "issue:4269", + "right": "issue:5171", + "accept": false, + "reason": "ControlNet input validation TypeError and SDXL safety_checker constructor mismatch are different pipeline API issues." + }, + { + "left": "issue:4383", + "right": "issue:5980", + "accept": false, + "reason": "ControlNet model deployment guidance is unrelated to whether generated models are .pth or .safetensors." + }, + { + "left": "issue:4438", + "right": "issue:5372", + "accept": false, + "reason": "A generic SDXL pipeline error is not the same as specifically using safety_checker in SDXL." + }, + { + "left": "issue:4993", + "right": "issue:5570", + "accept": false, + "reason": "Missing CLIPImageProjection import structure and missing compute_snr in training_utils are separate packaging/import problems." + }, + { + "left": "issue:6161", + "right": "issue:9241", + "accept": false, + "reason": "Scheduler sigma handling is unrelated to converting XLab LoRA formats via a script." + }, + { + "left": "issue:6486", + "right": "issue:8543", + "accept": false, + "reason": "Embedding retraction happening twice and SD3 dreambooth gradient checkpointing failure are different training bugs." + }, + { + "left": "issue:8482", + "right": "issue:9926", + "accept": false, + "reason": "Support for SD3-medium and gguf quantize/speed-up support are distinct feature requests." + }, + { + "left": "issue:1746", + "right": "issue:579", + "accept": false, + "reason": "A Flax Stable Diffusion error and a missing config.json in textual inversion are unrelated subsystems." + }, + { + "left": "issue:3401", + "right": "issue:5368", + "accept": false, + "reason": "Class labels required for num_class_embeds and mixed-precision Q/K/V dtype mismatch are different validation/runtime issues." + }, + { + "left": "issue:3182", + "right": "issue:3958", + "accept": false, + "reason": "Both involve offload, but one is lpw_stable_diffusion with model CPU offload and the other is LoRA with CPU offload; different concrete failure paths." + }, + { + "left": "issue:11436", + "right": "issue:12610", + "accept": false, + "reason": "Half-vs-bfloat16 matmul dtype mismatch in Hidream is not the same as weights-on-CPU / mat1-on-GPU device mismatch with Quanto plus group offload." + }, + { + "left": "issue:2392", + "right": "issue:5335", + "accept": false, + "reason": "Prompt_embeds NoneType validation error is unrelated to deployment behind a regional Hugging Face block." + }, + { + "left": "issue:4255", + "right": "issue:8393", + "accept": false, + "reason": "Image quality complaints and slow checkpoint shard loading are unrelated." + }, + { + "left": "issue:10303", + "right": "issue:7968", + "accept": false, + "reason": "A tensor permutation bug in Attention.head_to_batch_dim is different from general attention behavior in UNetMotionModel's motion module." + }, + { + "left": "issue:11497", + "right": "issue:8507", + "accept": false, + "reason": "Dataset preprocessing cache key behavior and SD3 train_text_encoder failure are separate training issues." + }, + { + "left": "issue:1405", + "right": "issue:3854", + "accept": false, + "reason": "Broken attention slicing and a locked from_ckpt load path 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": 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-50-3013", + "nodes": [ + "issue:11329", + "issue:11437", + "issue:11874", + "issue:13221", + "issue:1486", + "issue:1990", + "issue:2331", + "issue:2332", + "issue:2437", + "issue:3233", + "issue:3643", + "issue:3699", + "issue:3808", + "issue:3975", + "issue:4116", + "issue:4117", + "issue:4325", + "issue:4414", + "issue:4846", + "issue:497", + "issue:5016", + "issue:5017", + "issue:5233", + "issue:5284", + "issue:5485", + "issue:5866", + "issue:5917", + "issue:6093", + "issue:6222", + "issue:6242", + "issue:6250", + "issue:6288", + "issue:6412", + "issue:6533", + "issue:6570", + "issue:6958", + "issue:7142", + "issue:7197", + "issue:7300", + "issue:7440", + "issue:7640", + "issue:9350", + "issue:9476", + "issue:9530", + "issue:970", + "issue:9704", + "issue:9889", + "issue:9901" + ], + "soft_pairs": [ + "issue:1486|issue:4414", + "issue:1990|issue:2437", + "issue:4116|issue:6958", + "issue:5016|issue:6288", + "issue:5017|issue:6412", + "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:5917|issue:7300", + "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" + ], + "prepared_review_unit_hash": "f2c03fab49bee0624b13f554a55e5f915b3be8d48d0562469efd6b274ed30821", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33711, + "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 mostly a set of unrelated issues that only weakly overlap by shared keywords like Dreambooth, ControlNet, LoRA, or generic error terms. I found no true duplicate pairs among the soft edges, so there is no meaningful canonical issue/PR 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:1486", + "right": "issue:4414", + "accept": false, + "reason": "Different problems: DDIMScheduler prediction behavior vs a consistency model sampling proposal." + }, + { + "left": "issue:1990", + "right": "issue:2437", + "accept": false, + "reason": "Separate feature requests for different pipelines (Depth2ImgVariation vs T2I-Adapter/ControlNet)." + }, + { + "left": "issue:4116", + "right": "issue:6958", + "accept": false, + "reason": "Different code paths and symptoms: SDXL img2img embeddings vs unet_motion_model projection settings." + }, + { + "left": "issue:5016", + "right": "issue:6288", + "accept": false, + "reason": "One is a text-encoder training failure; the other is a learning-rate tuning complaint." + }, + { + "left": "issue:5017", + "right": "issue:6412", + "accept": false, + "reason": "Different ControlNet requests: control mode vs annotators exported to ONNX." + }, + { + "left": "issue:6242", + "right": "issue:7440", + "accept": false, + "reason": "Unrelated dataset/logging discussion; no shared bug or code path." + }, + { + "left": "issue:9704", + "right": "issue:9901", + "accept": false, + "reason": "Distinct runtime errors in different attention/backend paths; not the same bug." + }, + { + "left": "issue:11437", + "right": "issue:9476", + "accept": false, + "reason": "Different training failures: missing outputs/validation images vs BF16 input/bias mismatch." + }, + { + "left": "issue:6570", + "right": "issue:9350", + "accept": false, + "reason": "Different SDXL issues: tensor shape mismatch vs txt_ids deprecation warning." + }, + { + "left": "issue:11329", + "right": "issue:9530", + "accept": false, + "reason": "Both mention memory, but one is a bitsandbytes leak and the other is torch.compile/UNet GPU memory freeing." + }, + { + "left": "issue:3643", + "right": "issue:7640", + "accept": false, + "reason": "Different failures: latent upsample INT_MAX limit vs from_single_file dimension/runtime error." + }, + { + "left": "issue:2331", + "right": "issue:6533", + "accept": false, + "reason": "Separate feature requests for ControlNet and Marigold pipelines." + }, + { + "left": "issue:4325", + "right": "issue:5233", + "accept": false, + "reason": "Black-image/NaN rendering issue vs wrong callback step parameter." + }, + { + "left": "issue:7142", + "right": "issue:9889", + "accept": false, + "reason": "Both are inference problems, but one is output mismatch and the other is a segmentation fault." + }, + { + "left": "issue:5917", + "right": "issue:7300", + "accept": false, + "reason": "Unrelated UNet conversion regression vs GPU memory usage after changing attention processor." + }, + { + "left": "issue:3699", + "right": "issue:970", + "accept": false, + "reason": "Mac/CUDA availability error is unrelated to generic integration test failures." + }, + { + "left": "issue:11874", + "right": "issue:13221", + "accept": false, + "reason": "Both involve LoRA, but one is exclude_modules behavior and the other is Zimage support." + }, + { + "left": "issue:2332", + "right": "issue:4846", + "accept": false, + "reason": "Different Dreambooth reports: inference-after-training error vs strange training result." + }, + { + "left": "issue:3233", + "right": "issue:6093", + "accept": false, + "reason": "Unrelated LoRA export request vs push_to_hub repo-creation behavior." + }, + { + "left": "issue:3808", + "right": "issue:4117", + "accept": false, + "reason": "Different Dreambooth/model-specific failures: DeepFloyd IF stage 2 vs SDXL Dreambooth." + }, + { + "left": "issue:5284", + "right": "issue:5866", + "accept": false, + "reason": "ControlNet-LLLite support request is unrelated to AnimateDiff + ControlNet." + }, + { + "left": "issue:3975", + "right": "issue:497", + "accept": false, + "reason": "Both are typos, but in different error messages and code locations." + }, + { + "left": "issue:5485", + "right": "issue:6222", + "accept": false, + "reason": "Different problems: ControlNet batch inference performance vs DDPM batch-size dependency." + }, + { + "left": "issue:6250", + "right": "issue:7197", + "accept": false, + "reason": "Both mention KeyError, but the failing contexts are unrelated (SDXL VAE load vs text-image resume)." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + 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"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" + ], + "prepared_review_unit_hash": "505ea36e93a34aabb0b0c3209a3761c36ec4694d21e831764492a31a0819a59d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33038, + "estimated_input_tokens": 8260, + "estimated_eval_tokens": 16776 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of soft-similarity false positives: the issues span many unrelated topics (LoRA loading/training, schedulers, MPS/ONNX, config files, image-size bugs, etc.), so none of the proposed pairs look like the same underlying bug.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a safe canonical representative; the items are thematically scattered and the soft links do not indicate true duplication.", + "best_pr_reason": "No PRs are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:3683", + "right": "issue:7450", + "accept": false, + "reason": "Different problems: saving Multi-ControlNet vs AutoencoderKL multithreading issues." + }, + { + "left": "issue:10227", + "right": "issue:12009", + "accept": false, + "reason": "Unrelated loading failures: LoRA feature-size limitation vs Wan2.2 GGUF meta-tensor copy error." + }, + { + "left": "issue:3112", + "right": "issue:5284", + "accept": false, + "reason": "Different features: multi-ControlNet inpainting vs ControlNet-LLLite support." + }, + { + "left": "issue:338", + "right": "issue:4416", + "accept": false, + "reason": "One is LMS scheduler test coverage; the other is T2I Adapter tests, not the same bug/change." + }, + { + "left": "issue:3380", + "right": "issue:3730", + "accept": false, + "reason": "Embedding-size/config mismatch is not the same as incorrect inpainting timestep blending." + }, + { + "left": "issue:339", + "right": "issue:4416", + "accept": false, + "reason": "Different test targets: Karras VE tests vs T2I Adapter tests." + }, + { + "left": "issue:3937", + "right": "issue:4321", + "accept": false, + "reason": "Different runtime failures: ZeroscopeXL model loading vs ONNX DirectML black images on FP16." + }, + { + "left": "issue:4279", + "right": "issue:5108", + "accept": false, + "reason": "Both involve adapters/LoRAs, but the concrete issues differ: SDXL LoRA loading vs T2I Multiadapter exceptions." + }, + { + "left": "issue:4403", + "right": "issue:5578", + "accept": false, + "reason": "Different error classes and code paths: PyTorch Half LayerNorm support vs missing model_index.json." + }, + { + "left": "issue:4554", + "right": "issue:9032", + "accept": false, + "reason": "Kandinsky example OOM is unrelated to a TPU minimum working example request." + }, + { + "left": "issue:5135", + "right": "issue:5575", + "accept": false, + "reason": "LoRA quality/xformers discussion is unrelated to setting transformer_in hidden size during LoRA training." + }, + { + "left": "issue:5153", + "right": "issue:7333", + "accept": false, + "reason": "FreeU feature request is unrelated to image-to-video noise rectification." + }, + { + "left": "issue:5256", + "right": "issue:5925", + "accept": false, + "reason": "Different changes: Insta-Flow training support vs adding ZipLoRA for multi-LoRA inference." + }, + { + "left": "issue:5977", + "right": "issue:6399", + "accept": false, + "reason": "Different save/load problems: training-time key naming vs LoRA visibility in external UIs." + }, + { + "left": "issue:6454", + "right": "issue:6731", + "accept": false, + "reason": "Both are ValueErrors, but they stem from different bugs: FP16 gradient scaling vs unhandled pipeline class." + }, + { + "left": "issue:6901", + "right": "issue:9370", + "accept": false, + "reason": "Missing clip_sample in FlaxDDIMScheduler is unrelated to a missing pooled_projection argument." + }, + { + "left": "issue:8264", + "right": "issue:9278", + "accept": false, + "reason": "Train stopped at 0% is not the same as FLUX multigpu Dreambooth training." + }, + { + "left": "issue:6363", + "right": "issue:9471", + "accept": false, + "reason": "Different failure modes: FP16 gradient unscale during LoRA training vs CoreML resource-type inference error." + }, + { + "left": "issue:1537", + "right": "issue:457", + "accept": false, + "reason": "Different MPS issues: scheduler-specific behavior vs blue artifacts on MPS." + }, + { + "left": "issue:1708", + "right": "issue:2185", + "accept": false, + "reason": "One asks how to pass a YAML config for inference; the other reports missing training config files." + }, + { + "left": "issue:6252", + "right": "issue:9320", + "accept": false, + "reason": "Both mention finetuned weights, but the concrete problems differ: checkpoint LoRA loading vs saving/loading custom diffusion finetunes." + }, + { + "left": "issue:3355", + "right": "issue:3975", + "accept": false, + "reason": "Safetensors loading inconsistency is unrelated to a typo in an error message." + }, + { + "left": "issue:1672", + "right": "issue:3948", + "accept": false, + "reason": "Wrong output size after ckpt-to-diffusers conversion is unrelated to pale generated images." + }, + { + "left": "issue:2659", + "right": "issue:5607", + "accept": false, + "reason": "Batch-size-dependent image variation is a different bug than tensor-size mismatch during concatenation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10239", + "issue:10653", + "issue:10865", + "issue:10954", + "issue:11343", + "issue:12147", + "issue:13261", + "issue:1363", + "issue:1633", + "issue:1730", + "issue:2599", + "issue:2988", + "issue:3008", + "issue:3280", + "issue:3303", + "issue:3441", + "issue:3880", + "issue:4111", + "issue:4720", + "issue:5079", + "issue:514", + "issue:5429", + "issue:5607", + "issue:5678", + "issue:5685", + "issue:5989", + "issue:6222", + "issue:6385", + "issue:6431", + "issue:6506", + "issue:6513", + "issue:6572", + "issue:6639", + "issue:6956", + "issue:7142", + "issue:7183", + "issue:7185", + "issue:7214", + "issue:7217", + "issue:7355", + "issue:7549", + "issue:8970", + "issue:9167", + "issue:9361", + "issue:9387", + "issue:9476", + "issue:9488" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "f107cbdf30a90a935eef0105bde75e8e735200f2fb26abee5ca3f3c8f185052b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33337, + "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 heterogeneous and does not look like one duplicate set. The only strong duplicate-like pair is the StableVideoDiffusionPipeline memory/regression reports; the rest are distinct issues across different models, schedulers, and pipelines.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 6385 is the best representative of the only clear duplicate-like theme here: a broad StableVideoDiffusionPipeline VRAM regression, with 6956 reading like an environment-specific OOM manifestation of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6385 is the strongest global representative because it is the broadest, clearest statement of the shared failure mode in this group and can serve as the umbrella for the matching memory/OOM report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3280", + "right": "issue:7214", + "accept": false, + "reason": "Both mention schedulers, but one is a DeepFloyd IF non-default-scheduler problem and the other is a DPMSolverMultistepScheduler karras_sigmas regression; different bugs." + }, + { + "left": "issue:10239", + "right": "issue:10653", + "accept": false, + "reason": "Both are about HunyuanVideo offload/move-to-CPU behavior, but the concrete failures differ: unsupported sequential CPU offload vs bitsandbytes 8-bit `.to()` behavior." + }, + { + "left": "issue:2988", + "right": "issue:5685", + "accept": false, + "reason": "Both are scheduler-related, but one is a hard crash at equal train/inference steps and the other is a vague scheduler-issues report with no clear same code path." + }, + { + "left": "issue:7183", + "right": "issue:7217", + "accept": false, + "reason": "One is a scheduler config display bug; the other is DDIM config incompatibility. Not the same underlying defect." + }, + { + "left": "issue:3880", + "right": "issue:4720", + "accept": false, + "reason": "Both involve inpainting, but one is degraded unmasked regions and the other is AutoencoderTiny incompatibility with img2img/inpainting pipelines." + }, + { + "left": "issue:10865", + "right": "issue:7185", + "accept": false, + "reason": "SDXL model choice for inpainting is unrelated to pytorch-version support." + }, + { + "left": "issue:10954", + "right": "issue:9361", + "accept": false, + "reason": "Both involve FLUX LoRA loading, but the reports point to different symptoms and contexts; not enough to treat as the same concrete bug." + }, + { + "left": "issue:12147", + "right": "issue:13261", + "accept": false, + "reason": "Different models and different LoRA-loading failures; only the broad LoRA theme matches." + }, + { + "left": "issue:1633", + "right": "issue:5079", + "accept": false, + "reason": "karras sigmas support in a wrapper pipeline is unrelated to Lyrocis LoRA loading support." + }, + { + "left": "issue:3303", + "right": "issue:514", + "accept": false, + "reason": "Missing triton in Modelscope and attention slicing errors are unrelated." + }, + { + "left": "issue:5429", + "right": "issue:6513", + "accept": false, + "reason": "One is about models without a VAE in examples; the other is T2IAdapter support for a specific model. Different feature requests." + }, + { + "left": "issue:6572", + "right": "issue:9387", + "accept": false, + "reason": "Different pipelines entirely: ControlNetXS-SDXL-Inpaint vs MimicMotion." + }, + { + "left": "issue:6639", + "right": "issue:7142", + "accept": false, + "reason": "Both are SDXL output mismatch reports, but one is about load_lora_weights behavior and the other compares lightning inference against webui; not the same bug." + }, + { + "left": "issue:6506", + "right": "issue:6956", + "accept": false, + "reason": "One is an output-type API bug and the other is a CUDA OOM/memory issue; unrelated." + }, + { + "left": "issue:1730", + "right": "issue:2599", + "accept": false, + "reason": "Dreambooth-to-CKPT conversion and multi-subject training quality are different problems." + }, + { + "left": "issue:3441", + "right": "issue:5678", + "accept": false, + "reason": "Higher VRAM usage in PyTorch 2 and higher-order-derivative attention errors are unrelated." + }, + { + "left": "issue:1363", + "right": "issue:3008", + "accept": false, + "reason": "ONNX prompt-weight scheduler error and invalid torch.randn arguments in lpw_stable_diffusion are not the same bug." + }, + { + "left": "issue:6385", + "right": "issue:6956", + "accept": true, + "reason": "Both describe the same StableVideoDiffusionPipeline memory regression: unusually high VRAM use / CUDA OOM on the same pipeline." + }, + { + "left": "issue:7355", + "right": "issue:9476", + "accept": false, + "reason": "Stable Cascade bfloat16/resolution failure and Flux LoRA validation dtype mismatch are different code paths and symptoms." + }, + { + "left": "issue:5607", + "right": "issue:6222", + "accept": false, + "reason": "Tensor size mismatch in a model path is not the same as DDPM scheduler batch-size dependence." + }, + { + "left": "issue:11343", + "right": "issue:9167", + "accept": false, + "reason": "Import breakage after a transformers update is unrelated to a missing StableDiffusion3Pipeline import name." + }, + { + "left": "issue:4111", + "right": "issue:6431", + "accept": false, + "reason": "One is an SDXL Img2Img VRAM issue; the other is a broad pipeline-loading regression." + }, + { + "left": "issue:5989", + "right": "issue:7549", + "accept": false, + "reason": "A safetensors bug and a UNet EMA bug in training are unrelated." + }, + { + "left": "issue:8970", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and different failure modes: Kolors MPS black output vs Lumina producing no image." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary correctly treats the cluster as mostly heterogeneous and only elevates the StableVideoDiffusionPipeline memory/OOM pair as a plausible duplicate-like match. The soft-edge verdicts are cautious and the rationales do not overclaim identity where only broad thematic overlap exists." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10039", + "issue:10227", + "issue:11569", + "issue:11687", + "issue:13067", + "issue:1335", + "issue:1405", + "issue:1445", + "issue:1572", + "issue:1831", + "issue:2089", + "issue:228", + "issue:2324", + "issue:2961", + "issue:3010", + "issue:3301", + "issue:3452", + "issue:3597", + "issue:3631", + "issue:409", + "issue:4269", + "issue:444", + "issue:4446", + "issue:4456", + "issue:4557", + "issue:4677", + "issue:4702", + "issue:4720", + "issue:5022", + "issue:5138", + "issue:5931", + "issue:6234", + "issue:6335", + "issue:6552", + "issue:6584", + "issue:6891", + "issue:6934", + "issue:7438", + "issue:7441", + "issue:7456", + "issue:7556", + "issue:8317", + "issue:8435", + "issue:8809", + "issue:8887", + "issue:9034", + "issue:9106", + "issue:9371" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "90b466088543c365593a7b45a9bd99e09f2d3add44045fd6a370d928625b1764", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33880, + "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 broad topical similarities, but they describe different bugs, features, or docs changes. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not converge on one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative; the set is too diverse and there is no true duplicate center.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1405", + "right": "issue:409", + "accept": false, + "reason": "Both mention attention slicing, but one is a missing/absent API symptom and the other is a broken call on main; not the same concrete bug." + }, + { + "left": "issue:4446", + "right": "issue:8435", + "accept": false, + "reason": "Both involve from_single_file runtime problems, but they report different failure modes and likely different code paths." + }, + { + "left": "issue:3597", + "right": "issue:6335", + "accept": false, + "reason": "One is an ONNX pipeline not working, the other is output-size control in img2img; too different to be duplicates." + }, + { + "left": "issue:5931", + "right": "issue:7438", + "accept": false, + "reason": "Determinism vs XPU loading/generation stalling are unrelated issues." + }, + { + "left": "issue:1572", + "right": "issue:4677", + "accept": false, + "reason": "Both touch inpainting/docs, but one is a mega pipeline functionality bug and the other is a doc script error." + }, + { + "left": "issue:3631", + "right": "issue:4720", + "accept": false, + "reason": "Both are inpainting-related, but one is latent handling and the other is AutoencoderTiny compatibility; different bugs." + }, + { + "left": "issue:5022", + "right": "issue:9034", + "accept": false, + "reason": "Import error for UNet2DModel and an optional dependency requirement problem are different issues." + }, + { + "left": "issue:6584", + "right": "issue:6934", + "accept": false, + "reason": "Both are conversion-related, but they target different model formats and directions." + }, + { + "left": "issue:1831", + "right": "issue:2089", + "accept": false, + "reason": "DreamBooth precision mismatch for class images and AltDiffusion OOM are unrelated." + }, + { + "left": "issue:1445", + "right": "issue:444", + "accept": false, + "reason": "Legacy ONNX inpaint attribute error and a num_inference_steps index error are different failures." + }, + { + "left": "issue:10227", + "right": "issue:8809", + "accept": false, + "reason": "LoRA feature-size support and feedforward output inconsistency are unrelated code-path problems." + }, + { + "left": "issue:10039", + "right": "issue:6234", + "accept": false, + "reason": "A missing output sample size argument in UNet blocks is unrelated to an example script issue." + }, + { + "left": "issue:11569", + "right": "issue:9371", + "accept": false, + "reason": "A feature request for a model repo and a Flax pipeline API refactor are not duplicates." + }, + { + "left": "issue:11687", + "right": "issue:13067", + "accept": false, + "reason": "Docs request for pruna and feature support for Anima are separate requests." + }, + { + "left": "issue:1335", + "right": "issue:4269", + "accept": false, + "reason": "Both are TypeErrors, but they affect different pipelines and different parameters." + }, + { + "left": "issue:228", + "right": "issue:3452", + "accept": false, + "reason": "Broken release link and DreamBooth low-VRAM training are unrelated." + }, + { + "left": "issue:2324", + "right": "issue:3301", + "accept": false, + "reason": "Both are DreamBooth training complaints, but the reported failure modes are different and not clearly the same bug." + }, + { + "left": "issue:2961", + "right": "issue:4702", + "accept": false, + "reason": "StableUnCLIP training example and VQ-VAE training example are different feature requests." + }, + { + "left": "issue:3010", + "right": "issue:7556", + "accept": false, + "reason": "Both are docs issues, but they concern different topics and changes." + }, + { + "left": "issue:4456", + "right": "issue:4557", + "accept": false, + "reason": "Different AttributeError symptoms in different loader/model code paths; not the same fix." + }, + { + "left": "issue:5138", + "right": "issue:8887", + "accept": false, + "reason": "Training utility refactor and wrong VAE encode in training script are unrelated." + }, + { + "left": "issue:6552", + "right": "issue:6891", + "accept": false, + "reason": "A training-resume FP16 tracker and a model-card utility tracker are distinct tasks." + }, + { + "left": "issue:7441", + "right": "issue:9106", + "accept": false, + "reason": "pytest on Python 3.12 and a PixArt-alpha time_step attribute error are unrelated." + }, + { + "left": "issue:7456", + "right": "issue:8317", + "accept": false, + "reason": "A missing raise statement and a missing generator argument in AsymmetricAutoencoderKL 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": 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-50-3013", + "nodes": [ + "issue:10591", + "issue:10659", + "issue:10866", + "issue:10967", + "issue:11050", + "issue:12606", + "issue:13104", + "issue:1478", + "issue:1785", + "issue:1895", + "issue:222", + "issue:2359", + "issue:2375", + "issue:3366", + "issue:3540", + "issue:3748", + "issue:3750", + "issue:3933", + "issue:4213", + "issue:4304", + "issue:4400", + "issue:4419", + "issue:4450", + "issue:4605", + "issue:5254", + "issue:5314", + "issue:5433", + "issue:5594", + "issue:6068", + "issue:6087", + "issue:6094", + "issue:6157", + "issue:6549", + "issue:6686", + "issue:7061", + "issue:7228", + "issue:7420", + "issue:8410", + "issue:8493", + "issue:892", + "issue:8935", + "issue:9051", + "issue:9387", + "issue:9530", + "issue:9793", + "issue:984", + "issue:9944" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "943175f7544cdf23ca323c1a9fd0bcb3d59a5292f7727346505fbd6d6f3b27c3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33134, + "estimated_input_tokens": 8284, + "estimated_eval_tokens": 16824 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated pipelines, training scripts, import/logging problems, and feature requests. The soft edges are only title-level similarity, not the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11050 is the most concrete and actionable report in the set (specific file, exact dtype-cast bug, clear reproduction context), but it still does not represent the rest of the cluster because the items are about different subsystems and symptoms.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1478", + "right": "issue:1785", + "accept": false, + "reason": "Both are multi-image/output-count complaints, but they target different pipelines and failure modes: StableDiffusionUpscalePipeline output handling vs UnCLIP num_images_per_prompt behavior." + }, + { + "left": "issue:5433", + "right": "issue:6068", + "accept": false, + "reason": "SDXL scheduler artifacts are a sampling-quality issue; DDIM incorrect samples is a different algorithmic bug in a separate code path." + }, + { + "left": "issue:892", + "right": "issue:984", + "accept": false, + "reason": "These are unrelated runtime regressions: Docker/container compatibility vs F.interpolate breaking for large batch sizes." + }, + { + "left": "issue:3366", + "right": "issue:4450", + "accept": false, + "reason": "Autocast being blocked by LoRALinearLayer is a precision/context-manager bug, while multi-text inversion not working is a different training feature issue." + }, + { + "left": "issue:3750", + "right": "issue:6549", + "accept": false, + "reason": "One is lack of LoRA loading support in a pipeline; the other is a warning/logging mismatch when combining IP-Adapter and LoRA weights." + }, + { + "left": "issue:10659", + "right": "issue:10866", + "accept": false, + "reason": "Both mention poor LoRA results, but one is about ConsisID generation quality and the other about a Lumina Image 2.0 LoRA compatibility/loading problem." + }, + { + "left": "issue:6157", + "right": "issue:9793", + "accept": false, + "reason": "IP-Adapter not working in a specific pipeline is unrelated to a progress bar update bug." + }, + { + "left": "issue:4605", + "right": "issue:5254", + "accept": false, + "reason": "Long-prompt inpaint model errors and multi-ControlNet support in controlnet inpaint are distinct pipeline capabilities, not the same bug." + }, + { + "left": "issue:6087", + "right": "issue:6686", + "accept": false, + "reason": "Saving/loading LoraConfig metadata is a LoRA serialization bug; Dynamo save/load performance loss affects compiled SDXL pipelines and is a different issue." + }, + { + "left": "issue:8493", + "right": "issue:9944", + "accept": false, + "reason": "Both concern SD3 model loading, but one is a state_dict load error in the transformer and the other is SD3.5 Medium size-mismatch loading; different model versions and failure causes." + }, + { + "left": "issue:8935", + "right": "issue:9051", + "accept": false, + "reason": "These are separate batching/device issues in different pipelines: AuraFlow long-prompt tensor placement vs Flux batch inference support." + }, + { + "left": "issue:10591", + "right": "issue:12606", + "accept": false, + "reason": "SD3 LoRA training-script concerns are unrelated to a wrong import in a conversion script." + }, + { + "left": "issue:10967", + "right": "issue:8410", + "accept": false, + "reason": "A request to integrate LaVie/Cinemo into diffusers is a feature proposal, while TextDiffuser native support is a separate pipeline integration request." + }, + { + "left": "issue:6686", + "right": "issue:9530", + "accept": false, + "reason": "SDXL compile save/load performance regression is different from freeing GPU memory after torch.compile on the UNet." + }, + { + "left": "issue:3540", + "right": "issue:6094", + "accept": false, + "reason": "Prompt embeds not working in TextToVideoZeroPipeline is an input-handling bug, whereas the 0.24 update issue is a broader pipeline breakage after a version change." + }, + { + "left": "issue:3933", + "right": "issue:7420", + "accept": false, + "reason": "Graph compile breaking on logging.info is a specific logging/compile interaction; unable to use torch.compile is a broader, unspecific compile problem." + }, + { + "left": "issue:11050", + "right": "issue:13104", + "accept": false, + "reason": "The first is a bf16/fp16 dtype casting bug in a training example; the second is a missing logger definition error in a different code path." + }, + { + "left": "issue:1895", + "right": "issue:222", + "accept": false, + "reason": "EMA not updating in multi-GPU training and a generic training RuntimeError are different bugs with no shared code-path evidence." + }, + { + "left": "issue:2359", + "right": "issue:5594", + "accept": false, + "reason": "Latent output_type support in img2img is a pipeline behavior request; SDXL LoRA memory-saving is a training optimization topic." + }, + { + "left": "issue:2375", + "right": "issue:4213", + "accept": false, + "reason": "safe_open NameError and from_single_file() requiring accelerate are unrelated loading/environment issues." + }, + { + "left": "issue:3748", + "right": "issue:7228", + "accept": false, + "reason": "LoRA safetensor float16/float32 mismatch is a LoRA load issue; missing dtype on traced StableDiffusionPipeline is a different traced-model attribute bug." + }, + { + "left": "issue:4304", + "right": "issue:4400", + "accept": false, + "reason": "SDXL text-to-image LoRA support request and text_encoder support for inpaint LoRA are different feature scopes." + }, + { + "left": "issue:4419", + "right": "issue:7061", + "accept": false, + "reason": "Offset noise being omitted in inference is a model-usage bug; incorrect docstring text for a community pipeline is documentation-only." + }, + { + "left": "issue:5314", + "right": "issue:9387", + "accept": false, + "reason": "ControlNet reference inpainting and MimicMotion are unrelated pipeline 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-50-3013", + "nodes": [ + "issue:10659", + "issue:1072", + "issue:10797", + "issue:1082", + "issue:11005", + "issue:11133", + "issue:11229", + "issue:11410", + "issue:11486", + "issue:1158", + "issue:11827", + "issue:12329", + "issue:12653", + "issue:13043", + "issue:13073", + "issue:13386", + "issue:1500", + "issue:1574", + "issue:1734", + "issue:1961", + "issue:1990", + "issue:2444", + "issue:2578", + "issue:281", + "issue:2883", + "issue:3774", + "issue:4210", + "issue:4250", + "issue:4353", + "issue:4354", + "issue:4630", + "issue:4708", + "issue:4907", + "issue:5110", + "issue:5604", + "issue:5835", + "issue:6354", + "issue:6598", + "issue:6958", + "issue:7418", + "issue:7762", + "issue:7784", + "issue:7889", + "issue:9106", + "issue:9186", + "issue:9471", + "issue:9756", + "issue:9856" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "9dce3c08e67957a8604acbfeb2bce208757cd10687d0f73ca16508fc8624e379", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34401, + "estimated_input_tokens": 8601, + "estimated_eval_tokens": 17458 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose, heterogeneous set of issues spanning unrelated bugs, feature requests, and docs/test complaints. There is no strong duplicate cluster here; issue:281 is only a weak canonical because it is the broadest and highest-signal item.", + "confidence": 0.22, + "canonical_issue_reason": "issue:281 is the most central/high-signal issue in the set: broad model-loading optimization request, highest discussion/inbound refs, and widest potential relevance. It is still only a weak fit because the cluster is not truly cohesive.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:281 is the best representative in this mixed set for the same reasons: broad scope, strong engagement, and cross-cutting model-loading context. It is the least narrow among the issues, though not a true duplicate anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6958", + "right": "issue:9756", + "accept": false, + "reason": "Different subjects: an unet_motion_model config bug vs a missing notebook/file-path issue." + }, + { + "left": "issue:11133", + "right": "issue:11827", + "accept": false, + "reason": "Different pipelines and failure modes: CogVideoX image-to-video bug vs safetensors header corruption." + }, + { + "left": "issue:11410", + "right": "issue:9471", + "accept": false, + "reason": "Attention processor unpacking error and multiple-extension resource detection are unrelated code paths." + }, + { + "left": "issue:6598", + "right": "issue:7762", + "accept": false, + "reason": "Both mention poor image results, but one is parity with A1111 while the other is a general quality complaint; not the same concrete bug." + }, + { + "left": "issue:1072", + "right": "issue:4250", + "accept": false, + "reason": "General advice on loading multiple fine-tuned models is not the same as an incorrect from_pretrained loading bug." + }, + { + "left": "issue:281", + "right": "issue:4630", + "accept": false, + "reason": "Model-loading optimization request and post-load LoRA weight editing are different features." + }, + { + "left": "issue:6354", + "right": "issue:9186", + "accept": false, + "reason": "ControlNet LoRA support request vs differential diffusion with ControlNet are distinct feature ideas." + }, + { + "left": "issue:2578", + "right": "issue:5604", + "accept": false, + "reason": "Editable-install failure and unfusing multiple LoRA are unrelated problems." + }, + { + "left": "issue:12329", + "right": "issue:13073", + "accept": false, + "reason": "Wan single-file transformer version selection and ZImageControlNet guidance_scale behavior are separate issues." + }, + { + "left": "issue:11229", + "right": "issue:12653", + "accept": false, + "reason": "Both involve MPS, but one is attention slicing NaNs and the other is a rope float64 reference break; different code paths." + }, + { + "left": "issue:11005", + "right": "issue:7418", + "accept": false, + "reason": "Docstring/default mismatch is not the same as a bug in a community upscale pipeline file." + }, + { + "left": "issue:1158", + "right": "issue:1500", + "accept": false, + "reason": "Test interference and community-pipeline compatibility with a new diffusers release are unrelated." + }, + { + "left": "issue:1574", + "right": "issue:3774", + "accept": false, + "reason": "Both are training/memory-related, but they describe different scripts and failure mechanisms." + }, + { + "left": "issue:1990", + "right": "issue:2883", + "accept": false, + "reason": "A pipeline proposal and an image-to-video pipeline request are different feature discussions." + }, + { + "left": "issue:4354", + "right": "issue:5835", + "accept": false, + "reason": "from_single_file returning the wrong pipeline type is unrelated to using a pretrained MusicLDM pipeline." + }, + { + "left": "issue:4708", + "right": "issue:5110", + "accept": false, + "reason": "Import failure in diffusers.utils and HF repo-id validation are different errors." + }, + { + "left": "issue:13043", + "right": "issue:13386", + "accept": false, + "reason": "RTX 5090 kernel-image support and qwen prior-preservation concat crashes are unrelated." + }, + { + "left": "issue:1082", + "right": "issue:1961", + "accept": false, + "reason": "Dreambooth cublas matmul failure and a generic colossalai error are not the same bug." + }, + { + "left": "issue:10659", + "right": "issue:10797", + "accept": false, + "reason": "ConsisID output-quality complaint and HunyuanVideo group_offloading failure are different pipeline issues." + }, + { + "left": "issue:4210", + "right": "issue:7889", + "accept": false, + "reason": "A UNet attention_mask API question and single_file_utils bugs are not the same underlying problem." + }, + { + "left": "issue:4353", + "right": "issue:4907", + "accept": false, + "reason": "General SDXL quality complaint and an inpainting-model warning are distinct." + }, + { + "left": "issue:11486", + "right": "issue:9856", + "accept": false, + "reason": "Training-script xformers feature request and distributed port collision are unrelated." + }, + { + "left": "issue:1734", + "right": "issue:2444", + "accept": false, + "reason": "Multi-GPU slowdown in Dreambooth and a train_dreambooth_inpaint subprocess failure are different issues." + }, + { + "left": "issue:7784", + "right": "issue:9106", + "accept": false, + "reason": "Missing upcast_vae on one pipeline and a PixArt-alpha attribute error on another 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": 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-50-3013", + "nodes": [ + "issue:10039", + "issue:10147", + "issue:10697", + "issue:10722", + "issue:10861", + "issue:11005", + "issue:11232", + "issue:1572", + "issue:1614", + "issue:1969", + "issue:1988", + "issue:2363", + "issue:2471", + "issue:2603", + "issue:2618", + "issue:3645", + "issue:3986", + "issue:4141", + "issue:4269", + "issue:4310", + "issue:434", + "issue:4445", + "issue:4648", + "issue:4675", + "issue:4782", + "issue:4876", + "issue:5050", + "issue:5168", + "issue:5300", + "issue:5538", + "issue:5763", + "issue:5972", + "issue:6113", + "issue:6363", + "issue:6383", + "issue:6407", + "issue:6439", + "issue:6530", + "issue:6866", + "issue:7264", + "issue:7686", + "issue:7773", + "issue:7900", + "issue:835", + "issue:8873", + "issue:9062", + "issue:9674", + "issue:989" + ], + "soft_pairs": [ + 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None of the proposed pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "issue:10039 is the most concrete, code-localized bug report in the set (specific function/file and missing argument), so it is the best representative issue for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10039 is the strongest issue candidate because it is narrowly scoped, actionable, and clearly tied to a specific code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7900", + "right": "issue:8873", + "accept": false, + "reason": "One is an __init__.py import/export problem; the other is an xformers performance complaint. Different symptoms and code paths." + }, + { + "left": "issue:6363", + "right": "issue:7686", + "accept": false, + "reason": "FP16 gradient scaling in training is unrelated to a UNet cross_attention_dim configuration error." + }, + { + "left": "issue:1614", + "right": "issue:835", + "accept": false, + "reason": "Black-image output with autocast is a different failure mode from flax numpy_to_pil conversion issues." + }, + { + "left": "issue:5972", + "right": "issue:9674", + "accept": false, + "reason": "Documentation around min-SNR weighting is not the same as a bad SD3 ControlNet training result." + }, + { + "left": "issue:1572", + "right": "issue:4782", + "accept": false, + "reason": "The first is a pipeline support bug for img2img/inpainting; the second is a masking correctness bug in inpainting." + }, + { + "left": "issue:10039", + "right": "issue:7773", + "accept": false, + "reason": "Missing sample size in AttnUpBlock2D is unrelated to a Stable Video Diffusion batch-size generation bug." + }, + { + "left": "issue:10147", + "right": "issue:6407", + "accept": false, + "reason": "Multi-view generation adapter support and AnyText multilingual text generation are different features." + }, + { + "left": "issue:3645", + "right": "issue:4675", + "accept": false, + "reason": "Training/finetuning guidance for an inpaint pipeline is not the same as SDXL reference-only ControlNet support." + }, + { + "left": "issue:4648", + "right": "issue:5538", + "accept": false, + "reason": "Missing config.json is a loading/setup error; encoder-decoder latent usage is a model-pipeline implementation issue." + }, + { + "left": "issue:5300", + "right": "issue:6383", + "accept": false, + "reason": "Network connectivity behavior and multi-stage learning rate scheduling are unrelated." + }, + { + "left": "issue:10722", + "right": "issue:11232", + "accept": false, + "reason": "Tensor-size mismatch in DreamBooth prior preservation is not the same as noise residual behavior during T2I fine-tuning." + }, + { + "left": "issue:4141", + "right": "issue:5763", + "accept": false, + "reason": "Second-ControlNet handling and safetensors serialization are separate issues in different subsystems." + }, + { + "left": "issue:1969", + "right": "issue:989", + "accept": false, + "reason": "A tensor view/stride runtime error is a different problem from a 2-D weight shape error." + }, + { + "left": "issue:2471", + "right": "issue:434", + "accept": false, + "reason": "Attend-and-excite non-default size support is unrelated to a training notebook compatibility regression." + }, + { + "left": "issue:2618", + "right": "issue:4269", + "accept": false, + "reason": "ControlNet image input type handling and check_inputs default-argument TypeError are not the same bug." + }, + { + "left": "issue:1988", + "right": "issue:2603", + "accept": false, + "reason": "fp16/bf16 input-bias dtype mismatch is unrelated to non-square image generation support." + }, + { + "left": "issue:10697", + "right": "issue:11005", + "accept": false, + "reason": "Random transform mismatch in instruct-pix2pix is a data-preprocessing bug, not a docstring/default discrepancy." + }, + { + "left": "issue:10861", + "right": "issue:9062", + "accept": false, + "reason": "Latent scaling in StableAudioPipeline and an import error for StableAudioPipeline are entirely different issues." + }, + { + "left": "issue:2363", + "right": "issue:6113", + "accept": false, + "reason": "LoRA conversion tooling and using sd_control_collection models in diffusers do not describe the same change." + }, + { + "left": "issue:3986", + "right": "issue:6866", + "accept": false, + "reason": "ShapE mesh output support and IP-Adapter support for SDXL ControlNet inpaint are unrelated feature requests." + }, + { + "left": "issue:4310", + "right": "issue:6439", + "accept": false, + "reason": "SDXL staircase artifacts and a broken docs link are not the same underlying problem." + }, + { + "left": "issue:4445", + "right": "issue:7264", + "accept": false, + "reason": "LoRA finetuning help and custom transformers model serialization/loading are unrelated." + }, + { + "left": "issue:4876", + "right": "issue:5050", + "accept": false, + "reason": "LoRA layer std as a parameter and LoRA config changes are different feature requests with different scopes." + }, + { + "left": "issue:5168", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet-XS support and SDXL K-diffusion with ControlNet are distinct feature efforts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10191", + "issue:10412", + "issue:10658", + "issue:10673", + "issue:11221", + "issue:12574", + "issue:13077", + "issue:13300", + "issue:1677", + "issue:1785", + "issue:1925", + "issue:2554", + "issue:2763", + "issue:347", + "issue:3954", + "issue:4030", + "issue:4266", + "issue:4403", + "issue:4534", + "issue:4830", + "issue:5334", + "issue:5546", + "issue:5617", + "issue:5835", + "issue:5924", + "issue:5989", + "issue:6141", + "issue:6689", + "issue:6725", + "issue:7009", + "issue:7431", + "issue:7440", + "issue:7519", + "issue:7695", + "issue:7841", + "issue:7897", + "issue:7962", + "issue:8488", + "issue:8502", + "issue:851", + "issue:8543", + "issue:8826", + "issue:8873", + "issue:8876", + "issue:9488", + "issue:9516", + "issue:9780", + "issue:9926" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "80ae461c3a1e5c79f6cfe7f4d84ff79d57a8e97b951949b1522ff150d773b95a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34401, + "estimated_input_tokens": 8601, + "estimated_eval_tokens": 17458 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a title-similarity bucket spanning many unrelated bugs (training, pipelines, loading, memory, CPU/MPS, xformers, etc.). I found no soft pair that clearly describes the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.66, + "canonical_issue_reason": "issue:7897 is the broadest representative of the cluster\u2019s few multi-GPU/training-related reports, and it is an actual open bug report rather than a narrow symptom question.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7897 is a reasonable anchor because it is open, concrete, and broad enough to cover nearby device-placement/multi-GPU training failures better than the more specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6141", + "right": "issue:9926", + "accept": false, + "reason": "One is ControlNet API support, the other is GGUF quantization/speed support; different features and code paths." + }, + { + "left": "issue:7009", + "right": "issue:7440", + "accept": false, + "reason": "Text-to-video quality/runtime issue vs dataset availability problem; not the same bug." + }, + { + "left": "issue:8502", + "right": "issue:8543", + "accept": false, + "reason": "Both involve SD3, but one is image generation behavior and the other is dreambooth gradient checkpointing; different failures." + }, + { + "left": "issue:1925", + "right": "issue:851", + "accept": false, + "reason": "Both mention dtype/half precision, but one is a specific inpainting model issue and the other is a generic dtype mismatch report." + }, + { + "left": "issue:4830", + "right": "issue:5546", + "accept": false, + "reason": "Wrong tensor size in MultiControlNet vs scheduler step-count bug in base+refiner ensemble; unrelated problems." + }, + { + "left": "issue:10191", + "right": "issue:7897", + "accept": false, + "reason": "Both touch multi-GPU training, but one is GPU device selection being ignored while the other is a generic multi-GPU failure; not the same concrete code-path." + }, + { + "left": "issue:2554", + "right": "issue:347", + "accept": false, + "reason": "Different dependency/install issues: accelerate version requirement vs huggingface-hub installation failure." + }, + { + "left": "issue:4403", + "right": "issue:5617", + "accept": false, + "reason": "Half-precision LayerNorm runtime error vs torch.compile save/load problem; unrelated." + }, + { + "left": "issue:5334", + "right": "issue:9516", + "accept": false, + "reason": "Training/accelerate multi-model handling vs FLUX joint_attention_kwargs forwarding; different fixes." + }, + { + "left": "issue:5835", + "right": "issue:9488", + "accept": false, + "reason": "MusicLDM usage question vs Lumina image-generation failure; unrelated pipelines." + }, + { + "left": "issue:5989", + "right": "issue:6689", + "accept": false, + "reason": "Generic safetensors bug vs model conversion request; too different to be duplicates." + }, + { + "left": "issue:10658", + "right": "issue:7962", + "accept": false, + "reason": "onnxruntime session provider options vs Instruct-pix2pix cross_attention_kwargs support; unrelated APIs." + }, + { + "left": "issue:10673", + "right": "issue:8876", + "accept": false, + "reason": "AuraFlow shape reshape failure vs PixArt Sigma resolution microconditioning omission; different model-specific bugs." + }, + { + "left": "issue:13300", + "right": "issue:5924", + "accept": false, + "reason": "CPU inference failure for SD3.5/FLUX vs VAE memory spike; different symptoms and code paths." + }, + { + "left": "issue:6725", + "right": "issue:7009", + "accept": false, + "reason": "Generic LDM image generation request vs text-to-video result quality issue; not the same defect." + }, + { + "left": "issue:7519", + "right": "issue:8873", + "accept": false, + "reason": "Ignored cross_attention_kwargs in xFormers attention vs xFormers performance regression; distinct issues." + }, + { + "left": "issue:11221", + "right": "issue:8826", + "accept": false, + "reason": "AutoencoderKL non-convergence vs empty tensor list cat runtime error; unrelated." + }, + { + "left": "issue:1785", + "right": "issue:4030", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug vs Stable Diffusion v2.1 embedding runtime error; different code paths." + }, + { + "left": "issue:10412", + "right": "issue:7431", + "accept": false, + "reason": "DreamBooth VRAM usage vs DoRA/text-encoder training issues; both training-related but not the same bug." + }, + { + "left": "issue:7695", + "right": "issue:7841", + "accept": false, + "reason": "Ignored ip_adapter_masks kwargs vs red-dot rendering artifact; unrelated." + }, + { + "left": "issue:12574", + "right": "issue:13077", + "accept": false, + "reason": "WanVideoToVideo control-argument handling vs shallow-copy transformer weights in ZImageControlNet; different bugs." + }, + { + "left": "issue:1677", + "right": "issue:3954", + "accept": false, + "reason": "Wrong input data type for pipeline call vs multi-GPU scheduler step count bug; unrelated." + }, + { + "left": "issue:2763", + "right": "issue:5617", + "accept": false, + "reason": "ControlNet VRAM regression with cudnn.benchmark vs torch.compile save/load failure; not the same issue." + }, + { + "left": "issue:4266", + "right": "issue:4534", + "accept": false, + "reason": "Both are SDXL on Apple/MPS, but one is a broadcast type mismatch and the other crashes during validation; too different." + }, + { + "left": "issue:8488", + "right": "issue:9780", + "accept": false, + "reason": "General StableDiffusion3Pipeline from_pretrained exception vs missing norm_added_k attribute when loading SD3.5; likely related surface area, but not clearly 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": 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-50-3013", + "nodes": [ + "issue:10003", + "issue:10337", + "issue:1056", + "issue:1064", + "issue:10839", + "issue:1101", + "issue:11047", + "issue:11127", + "issue:11422", + "issue:11489", + "issue:11519", + "issue:12022", + "issue:1251", + "issue:1802", + "issue:2262", + "issue:228", + "issue:272", + "issue:2737", + "issue:2780", + "issue:2941", + "issue:3301", + "issue:3537", + "issue:3658", + "issue:3672", + "issue:3689", + "issue:3728", + "issue:389", + "issue:4086", + "issue:4324", + "issue:487", + "issue:4964", + "issue:5043", + "issue:5075", + "issue:5143", + "issue:5281", + "issue:557", + "issue:6161", + "issue:6288", + "issue:6357", + "issue:6486", + "issue:7003", + "issue:7440", + "issue:7889", + "issue:7948", + "issue:7955", + "issue:9108", + "issue:9171" + ], + "soft_pairs": [ + "issue:2941|issue:557", + "issue:4964|issue:6357", + "issue:10337|issue:9108", + "issue:1056|issue:1802", + "issue:5075|issue:5281", + "issue:12022|issue:9171", + "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" + ], + "prepared_review_unit_hash": "dfd08b62d7708cce06bb13d2d4386bc9d37dd542bd29a3c591a00ebf8828c28e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33375, + "estimated_input_tokens": 8344, + "estimated_eval_tokens": 16944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft edges look like true duplicates; the pairs mostly share a subsystem or buzzword (Flux, LoRA, quantization, schedulers) but describe different bugs or feature requests. No PRs are present, and there isn\u2019t a strong duplicate cluster to collapse into a single canonical item.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 9108 is the most substantive open bug in the set: it is clearly framed, actively discussed, and describes a concrete training failure with quantized base models.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9108 is the best representative issue here because it is open, well-scoped, and has the strongest discussion signal among the listed issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2941", + "right": "issue:557", + "accept": false, + "reason": "Both concern scheduler quality, but they are different schedulers with different symptoms and are not the same bug." + }, + { + "left": "issue:4964", + "right": "issue:6357", + "accept": false, + "reason": "Model conversion to Diffusers is unrelated to API-vs-local result differences." + }, + { + "left": "issue:10337", + "right": "issue:9108", + "accept": false, + "reason": "Both involve quantization, but one is FLUX IPAdapter inference failure and the other is training resume with a quantized base model." + }, + { + "left": "issue:1056", + "right": "issue:1802", + "accept": false, + "reason": "Same file, but distinct problems: MPS support versus encoder_hidden_states=None handling." + }, + { + "left": "issue:5075", + "right": "issue:5281", + "accept": false, + "reason": "Different failures: SDXL refiner prompt-embedding shape mismatch versus multi-pipeline CPU offload device mismatch." + }, + { + "left": "issue:12022", + "right": "issue:9171", + "accept": false, + "reason": "One is a flash-attn interface compatibility issue; the other is a from_single_file v_prediction regression." + }, + { + "left": "issue:4086", + "right": "issue:7003", + "accept": false, + "reason": "Training ControlNet on SDXL base-0.9 is not the same underlying bug as an inpaint pipeline weight-shape mismatch." + }, + { + "left": "issue:10003", + "right": "issue:7889", + "accept": false, + "reason": "DDIM/DDPM scheduler bug with 1000 steps is unrelated to single-file checkpoint loading bugs." + }, + { + "left": "issue:1064", + "right": "issue:1251", + "accept": false, + "reason": "LMSDiscreteScheduler.add_noise() error is distinct from RePaintPipeline producing black images on MPS." + }, + { + "left": "issue:10839", + "right": "issue:11127", + "accept": false, + "reason": "Both mention Flux, but one is a Dreambooth LoRA training last-step error and the other is a single-file model loading problem." + }, + { + "left": "issue:1101", + "right": "issue:5043", + "accept": false, + "reason": "These are separate feature requests for different capabilities and do not share the same underlying change." + }, + { + "left": "issue:11047", + "right": "issue:7440", + "accept": false, + "reason": "ControlNet inpaint model support is unrelated to dataset availability for text-to-image." + }, + { + "left": "issue:11422", + "right": "issue:11489", + "accept": false, + "reason": "Both are training crashes, but they target different models and different failure modes." + }, + { + "left": "issue:11519", + "right": "issue:7948", + "accept": false, + "reason": "Different support requests for different models/adapters." + }, + { + "left": "issue:2262", + "right": "issue:3689", + "accept": false, + "reason": "How to use safetensors LoRA is not the same as unloading LoRA weights after loading." + }, + { + "left": "issue:228", + "right": "issue:389", + "accept": false, + "reason": "A broken release link and broken README code are separate documentation issues." + }, + { + "left": "issue:272", + "right": "issue:2737", + "accept": false, + "reason": "Both are scheduler-related feature requests, but they ask for different scheduler capabilities in different contexts." + }, + { + "left": "issue:2780", + "right": "issue:6288", + "accept": false, + "reason": "FP16 unscale runtime error is unrelated to the LCM LoRA default learning-rate discussion." + }, + { + "left": "issue:3301", + "right": "issue:4324", + "accept": false, + "reason": "The generic training failure could hide many causes, but this is not enough to equate it with the specific NoneType error." + }, + { + "left": "issue:3537", + "right": "issue:6161", + "accept": false, + "reason": "A conversion script request is unrelated to always discarding the next-to-last sigma." + }, + { + "left": "issue:3658", + "right": "issue:5143", + "accept": false, + "reason": "Extra noise latents in training scripts is a different bug from tiny numerical differences producing output drift." + }, + { + "left": "issue:3658", + "right": "issue:6486", + "accept": false, + "reason": "These are both Dreambooth-related, but one is an input-noise bug and the other is double embedding retraction." + }, + { + "left": "issue:3672", + "right": "issue:487", + "accept": false, + "reason": "Concurrent inference failures are not the same as M1 CPU incompatibility." + }, + { + "left": "issue:3728", + "right": "issue:7955", + "accept": false, + "reason": "A new pipeline request and a portrait-generation model request are separate feature ideas." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:11286", + "issue:1185", + "issue:11865", + "issue:1249", + "issue:1251", + "issue:13107", + "issue:1463", + "issue:1519", + "issue:1556", + "issue:1655", + "issue:1851", + "issue:3040", + "issue:3494", + "issue:3954", + "issue:3970", + "issue:4043", + "issue:4080", + "issue:4325", + "issue:4460", + "issue:4733", + "issue:490", + "issue:4912", + "issue:4921", + "issue:5014", + "issue:5064", + "issue:5245", + "issue:5538", + "issue:5546", + "issue:5573", + "issue:5685", + "issue:5960", + "issue:6418", + "issue:6529", + "issue:6783", + "issue:6901", + "issue:6955", + "issue:760", + "issue:7682", + "issue:7922", + "issue:8560", + "issue:8813", + "issue:8915", + "issue:9032", + "issue:9038", + "issue:9359", + "issue:9844", + "issue:9846", + "issue:9933" + ], + "soft_pairs": [ + "issue:3954|issue:5685", + "issue:3970|issue:4325", + "issue:4043|issue:6783", + "issue:4080|issue:8813", + "issue:4912|issue:6529", + "issue:4921|issue:5546", + "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" + ], + "prepared_review_unit_hash": "24f63d133002afb54e4dc91460aaa053e639da159dca6ed4721226635f1e592b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34070, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a noisy mix of unrelated diffusers issues. None of the proposed soft pairs look like the same concrete bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "If a representative issue must be chosen, issue:5685 is the broadest and most central because it is a generic scheduler-bug report; however, the cluster is too heterogeneous to treat it as a true canonical duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5685 is the best broad representative of the limited scheduler-related subtheme in this set, but it does not actually unify the cluster into one underlying defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3954", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a multi-gpu LR step-count bug and the other is a vague scheduler-internals report; not the same defect." + }, + { + "left": "issue:3970", + "right": "issue:4325", + "accept": false, + "reason": "Prompt-embeddings failure and black-image/runtime-warning behavior are different code paths and symptoms." + }, + { + "left": "issue:4043", + "right": "issue:6783", + "accept": false, + "reason": "SDXL embedding-argument requirements are unrelated to PixArt generations being corrupted." + }, + { + "left": "issue:4080", + "right": "issue:8813", + "accept": false, + "reason": "A new SDXL inpainting pipeline request is not the same as a Differential Diffusion issue for Kolors." + }, + { + "left": "issue:4912", + "right": "issue:6529", + "accept": false, + "reason": "Checkpoint conversion support and SDXL Fooocus inpaint are different feature requests with no shared bug." + }, + { + "left": "issue:4921", + "right": "issue:5546", + "accept": false, + "reason": "Refiner detail loss and wrong step counts with base+refiner ensembles are both refiner-related, but not the same underlying bug." + }, + { + "left": "issue:5014", + "right": "issue:8560", + "accept": false, + "reason": "Dreambooth LoRA quality complaints and SD3 training OOM are separate problems." + }, + { + "left": "issue:5245", + "right": "issue:8915", + "accept": false, + "reason": "Import freeze in pipenv and a missing import symbol are different failure modes." + }, + { + "left": "issue:5538", + "right": "issue:6418", + "accept": false, + "reason": "Upscale latent-usage behavior and stable-video finetuning output collapse are unrelated pipeline bugs." + }, + { + "left": "issue:6901", + "right": "issue:9933", + "accept": false, + "reason": "A missing Flax scheduler method and missing img2img width/height params are different API gaps." + }, + { + "left": "issue:6955", + "right": "issue:7922", + "accept": false, + "reason": "A Transformers AddedToken attribute error and a missing ORT pipeline attribute are distinct import/runtime issues." + }, + { + "left": "issue:9032", + "right": "issue:9038", + "accept": false, + "reason": "Both are FlaxStableDiffusionPipeline questions, but one is a TPU setup request and the other is about prompt weighting." + }, + { + "left": "issue:9359", + "right": "issue:9844", + "accept": false, + "reason": "A scheduler step ValueError and SDXL VAE NaNs are different stages of the pipeline." + }, + { + "left": "issue:5573", + "right": "issue:5960", + "accept": false, + "reason": "Slow ControlNet weight init and invalid-value casting in SDXL ControlNet training are not the same bug." + }, + { + "left": "issue:1249", + "right": "issue:3040", + "accept": false, + "reason": "OnnxPipeline ndarray/device handling and a docs copy-paste '__module__' error are unrelated." + }, + { + "left": "issue:1519", + "right": "issue:760", + "accept": false, + "reason": "Both involve MPS, but one is batch-input noise on M2 and the other is unexpected output on older diffusers; too different to merge." + }, + { + "left": "issue:1463", + "right": "issue:4733", + "accept": false, + "reason": "Missing the datasets package and a dreambooth checkpoint-resume optimizer assertion are unrelated." + }, + { + "left": "issue:1655", + "right": "issue:490", + "accept": false, + "reason": "Pipeline initialization failure and general memory issues are not the same defect." + }, + { + "left": "issue:5064", + "right": "issue:7682", + "accept": false, + "reason": "Refiner out-of-space and multi-GPU scaling issues are separate resource/performance problems." + }, + { + "left": "issue:1185", + "right": "issue:1851", + "accept": false, + "reason": "Dreambooth reproducibility and multi-GPU slowdown are different training concerns." + }, + { + "left": "issue:11865", + "right": "issue:9846", + "accept": false, + "reason": "Missing from_single_file on two different model classes is a similar API gap, but not one concrete bug." + }, + { + "left": "issue:1251", + "right": "issue:1556", + "accept": false, + "reason": "Both mention black images, but they affect different pipelines/hardware paths and do not look like one bug." + }, + { + "left": "issue:3494", + "right": "issue:4460", + "accept": false, + "reason": "Corrupted Multidiffusion outputs with schedulers and generic stable-diffusion/diffusers result differences are too broad to be duplicates." + }, + { + "left": "issue:11286", + "right": "issue:13107", + "accept": false, + "reason": "Both are LoRA-loading errors, but one is generic and the other is a specific Flux Klein missing-key report; not clearly 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": 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-50-3013", + "nodes": [ + "issue:1013", + "issue:10198", + "issue:10591", + "issue:10675", + "issue:1083", + "issue:10962", + "issue:11644", + "issue:12126", + "issue:125", + "issue:12896", + "issue:13105", + "issue:13232", + "issue:13301", + "issue:13477", + "issue:1462", + "issue:1574", + "issue:1708", + "issue:2015", + "issue:2035", + "issue:2439", + "issue:2548", + "issue:3026", + "issue:3418", + "issue:3803", + "issue:3886", + "issue:3887", + "issue:3910", + "issue:4014", + "issue:4337", + "issue:4366", + "issue:4504", + "issue:5124", + "issue:5458", + "issue:562", + "issue:6238", + "issue:6533", + "issue:6727", + "issue:7936", + "issue:8503", + "issue:8594", + "issue:8723", + "issue:8832", + "issue:8960", + "issue:9171", + "issue:945", + "issue:9670", + "issue:9686", + "issue:9768" + ], + "soft_pairs": [ + "issue:1462|issue:562", + "issue:9171|issue:9768", + "issue:3886|issue:8594", + "issue:125|issue:2548", + "issue:12896|issue:13105", + "issue:3910|issue:5458", + "issue:2439|issue:6238", + "issue:4504|issue:7936", + "issue:8723|issue:8960", + "issue:1013|issue:3887", + "issue:10198|issue:10675", + "issue:10591|issue:9686", + "issue:10962|issue:8832", + "issue:13232|issue:13301", + "issue:2015|issue:6533", + "issue:3026|issue:3803", + "issue:3418|issue:4366", + "issue:4337|issue:6727", + "issue:5458|issue:9670", + "issue:1083|issue:945", + "issue:11644|issue:8503", + "issue:2035|issue:4014", + "issue:12126|issue:13477", + "issue:5124|issue:945", + "issue:1574|issue:1708" + ], + "prepared_review_unit_hash": "3fad304a8550af05ca73ecad01bb4bdbbac9747a2a5e05a2e8a9f3324de34bb4", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34005, + "estimated_input_tokens": 8502, + "estimated_eval_tokens": 17260 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the issues span unrelated pipelines, training scripts, loaders, and model-specific regressions. None of the soft pairs looks like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the items cover many distinct problems across different code paths, so there is no clear duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "None of the issues is a strong global representative because the cluster is not centered on one concrete bug or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1462", + "right": "issue:562", + "accept": false, + "reason": "Both are inpainting-related, but one is an unassigned-variable crash with multiple masks/images and the other is a scheduler compatibility bug; different failure modes and code paths." + }, + { + "left": "issue:9171", + "right": "issue:9768", + "accept": false, + "reason": "Both mention bad outputs/NaNs, but one is a from_single_file regression for v_prediction and the other is a CuDNN SDPA backend NaN issue; not the same bug." + }, + { + "left": "issue:3886", + "right": "issue:8594", + "accept": false, + "reason": "One is a distributed timeout while training DDPM; the other is an UnboundLocalError in a SD3 dreambooth script. Different root causes." + }, + { + "left": "issue:125", + "right": "issue:2548", + "accept": false, + "reason": "Accelerate launch argument handling and LoRA save/fine-tuning errors are unrelated issues." + }, + { + "left": "issue:12896", + "right": "issue:13105", + "accept": false, + "reason": "Different WAN model versions and different symptoms; one is a CUDA vs MPS inference mismatch, the other is output noise." + }, + { + "left": "issue:3910", + "right": "issue:5458", + "accept": false, + "reason": "Both involve LoRA loading, but one is a generic 'certain LoRA will not load' report and the other is specifically about local_files_only behavior; not the same concrete bug." + }, + { + "left": "issue:2439", + "right": "issue:6238", + "accept": false, + "reason": "Inpainting pipeline load/run problems and SDXL VAE issues are separate pipeline/component failures." + }, + { + "left": "issue:4504", + "right": "issue:7936", + "accept": false, + "reason": "Both touch safetensors loading, but one is a LoRA state_dict assignment error and the other is a local file JSON-format parsing issue; different code paths." + }, + { + "left": "issue:8723", + "right": "issue:8960", + "accept": false, + "reason": "SD3 ControlNet initialization and gradient accumulation in a training example are unrelated." + }, + { + "left": "issue:1013", + "right": "issue:3887", + "accept": false, + "reason": "One is a specific StableDiffusionMegaPipeline compatibility break with Diffusers 6.0; the other is a broad 'different effect' report for SD pipeline output quality." + }, + { + "left": "issue:10198", + "right": "issue:10675", + "accept": false, + "reason": "Flux weight mismatch and Flux scheduler max_shift configuration are different issues." + }, + { + "left": "issue:10591", + "right": "issue:9686", + "accept": false, + "reason": "SD3 LoRA training script problems and SD3 ControlNet pooled projection bugs are separate components." + }, + { + "left": "issue:10962", + "right": "issue:8832", + "accept": false, + "reason": "Prompt-embed shape handling in Cogview4 and a generic pipeline crash on image generation do not match the same underlying bug." + }, + { + "left": "issue:13232", + "right": "issue:13301", + "accept": false, + "reason": "One requests LTX-2.3 support, the other requests PixArtAlphaPipeline modular support; these are different feature requests." + }, + { + "left": "issue:2015", + "right": "issue:6533", + "accept": false, + "reason": "Categorical diffusion and Marigold depth estimation are unrelated pipelines." + }, + { + "left": "issue:3026", + "right": "issue:3803", + "accept": false, + "reason": "InstructPix2Pix accelerate-launch errors are unrelated to multi-GPU LoRA model sharing issues." + }, + { + "left": "issue:3418", + "right": "issue:4366", + "accept": false, + "reason": "Adding text-encoder code to a LoRA script is not the same as full U-Net fine-tuning for SD-XL." + }, + { + "left": "issue:4337", + "right": "issue:6727", + "accept": false, + "reason": "torch.compile failure in a community ControlNet reference is unrelated to a Q/K/V dtype validation error." + }, + { + "left": "issue:5458", + "right": "issue:9670", + "accept": false, + "reason": "One is about honoring local_files_only when loading LoRA state dicts; the other is a missing PEFT-backend requirement." + }, + { + "left": "issue:1083", + "right": "issue:945", + "accept": false, + "reason": "FP16 ONNX incorrect output and custom-checkpoint-to-ONNX conversion are different ONNX-related problems." + }, + { + "left": "issue:11644", + "right": "issue:8503", + "accept": false, + "reason": "LTXConditionPipeline init-from-pretrained and SD3 gradient-checkpointing crashes are different failures." + }, + { + "left": "issue:2035", + "right": "issue:4014", + "accept": false, + "reason": "Tiled upscaling artifacts and SDXL watermark pixel artifacts are separate image-quality issues." + }, + { + "left": "issue:12126", + "right": "issue:13477", + "accept": false, + "reason": "WAN transformer/cache_context switching error and ErnieImage locals() scope bug are unrelated." + }, + { + "left": "issue:5124", + "right": "issue:945", + "accept": false, + "reason": "Fine-tuning checkpoint .safetensor and converting a custom checkpoint to ONNX are different tasks and bugs." + }, + { + "left": "issue:1574", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth training failure on 8GB Linux and passing YAML config for inference 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": 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-50-3013", + "nodes": [ + "issue:10039", + "issue:10145", + "issue:10573", + "issue:10743", + "issue:10994", + "issue:11396", + "issue:11464", + "issue:11661", + "issue:11821", + "issue:12096", + "issue:12221", + "issue:13301", + "issue:1466", + "issue:2402", + "issue:2552", + "issue:2844", + "issue:3124", + "issue:3238", + "issue:3300", + "issue:3803", + "issue:4107", + "issue:4206", + "issue:4453", + "issue:4615", + "issue:4677", + "issue:5246", + "issue:5327", + "issue:5544", + "issue:5934", + "issue:6087", + "issue:6323", + "issue:6366", + "issue:6481", + "issue:7009", + "issue:7368", + "issue:7418", + "issue:7460", + "issue:7798", + "issue:7968", + "issue:8509", + "issue:8588", + "issue:8609", + "issue:9147", + "issue:9306", + "issue:9476", + "issue:9488", + "issue:9551" + ], + "soft_pairs": [ + "issue:7009|issue:9488", + "issue:10743|issue:11661", + "issue:5246|issue:7968", + "issue:6087|issue:6366", + "issue:7460|issue:7798", + "issue:3300|issue:4615", + "issue:5544|issue:9147", + "issue:5327|issue:5544", + "issue:5934|issue:9306", + "issue:10039|issue:8588", + "issue:10145|issue:11396", + "issue:12221|issue:13301", + "issue:1466|issue:2402", + "issue:2844|issue:4677", + "issue:4107|issue:6481", + "issue:4453|issue:7368", + "issue:6323|issue:8609", + "issue:8509|issue:9551", + "issue:2552|issue:3803", + "issue:3124|issue:3238", + "issue:4206|issue:7418", + "issue:10994|issue:9476", + "issue:11821|issue:12096", + "issue:10573|issue:11464" + ], + "prepared_review_unit_hash": "25305ff556ffbbf23fb24b6b88c4c692b6e179af8d0249f0c8b9d41a09951c14", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33247, + "estimated_input_tokens": 8312, + "estimated_eval_tokens": 16880 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated bug reports and feature requests that only share broad subsystem names (e.g. FLUX, LoRA, pipelines). No soft pair looks like the same concrete underlying issue/change, so all soft-edge candidates should be rejected.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10994 is a concrete, reproducible bug report in a specific training script (train_dreambooth_lora_flux) with a clear failure mode and active discussion, making it a strong representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10994 is the clearest standalone bug report here: specific scope, concrete crash, and enough detail to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7009", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: one reports poor generations in TextToVideoSDPipeline, the other a Lumina pipeline failing to generate any image." + }, + { + "left": "issue:10743", + "right": "issue:11661", + "accept": false, + "reason": "One is a training feature request for ZeRO-3 in FLUX training; the other is a script bug about args.max_train_steps when None in flux-control." + }, + { + "left": "issue:5246", + "right": "issue:7968", + "accept": false, + "reason": "Unrelated code paths: missing CLIPImageProjection attribute vs attention logic in UNetMotionModel's motion module." + }, + { + "left": "issue:6087", + "right": "issue:6366", + "accept": false, + "reason": "Both involve LoRA training/loading, but they are different concrete bugs in different scripts and failure points, so they should not be merged." + }, + { + "left": "issue:7460", + "right": "issue:7798", + "accept": false, + "reason": "Different model/components entirely: AdaLayerNorm bug versus a PixArtAlphaPipeline bug." + }, + { + "left": "issue:3300", + "right": "issue:4615", + "accept": false, + "reason": "Generic brokenness complaint versus a specific ImportError for a controlnet pipeline; not the same issue." + }, + { + "left": "issue:5544", + "right": "issue:9147", + "accept": false, + "reason": "Different features and failures: FreeU disable error in SDXL versus an autopipeline error for FLUX." + }, + { + "left": "issue:5327", + "right": "issue:5544", + "accept": false, + "reason": "Different concerns: textual inversion loading in SDXL versus FreeU toggling behavior." + }, + { + "left": "issue:5934", + "right": "issue:9306", + "accept": false, + "reason": "Different bug classes and code paths: torch.compile error versus wrong device selection in CogVideoXPipeline.from_pretrained." + }, + { + "left": "issue:10039", + "right": "issue:8588", + "accept": false, + "reason": "Completely different areas: UNet block argument wiring versus a missing conversion script for SD3." + }, + { + "left": "issue:10145", + "right": "issue:11396", + "accept": false, + "reason": "OOM during FLUX Dreambooth LoRA training is unrelated to converting a HiDream LoRA for ComfyUI." + }, + { + "left": "issue:12221", + "right": "issue:13301", + "accept": false, + "reason": "Both are feature requests, but they request different model support and different pipeline integrations." + }, + { + "left": "issue:1466", + "right": "issue:2402", + "accept": false, + "reason": "Different problems: OS compatibility for the Dreambooth example versus CUDA-not-compiled runtime environment failure." + }, + { + "left": "issue:2844", + "right": "issue:4677", + "accept": false, + "reason": "Different pipelines and error conditions: explicit image embeddings in StableUnCLIPImg2ImgPipeline versus an inpainting doc script error." + }, + { + "left": "issue:4107", + "right": "issue:6481", + "accept": false, + "reason": "Both are training-related, but one is SDXL LoRA quality/noise regression and the other is batch-size>1 training failure." + }, + { + "left": "issue:4453", + "right": "issue:7368", + "accept": false, + "reason": "LoRA conversion for AUTO1111 is unrelated to a GLIGEN training question." + }, + { + "left": "issue:6323", + "right": "issue:8609", + "accept": false, + "reason": "Different pipeline features: TensorRT Img2Img guidance_scale attribute bug versus custom pipeline/IP-Adapter compatibility." + }, + { + "left": "issue:8509", + "right": "issue:9551", + "accept": false, + "reason": "Both mention controlnets, but one is a ControlNet++ request and the other asks about x-labs FLUX controlnet models; not the same change." + }, + { + "left": "issue:2552", + "right": "issue:3803", + "accept": false, + "reason": "Tutorial question for StableDiffusionInpaintPipeline versus multi-GPU LoRA training sharing bug; unrelated." + }, + { + "left": "issue:3124", + "right": "issue:3238", + "accept": false, + "reason": "Both are conversion-related, but one is general Stable Diffusion model conversion and the other is converting LoRA safetensors to diffusers format." + }, + { + "left": "issue:4206", + "right": "issue:7418", + "accept": false, + "reason": "Different bug reports in different files/features: SDXL controlnet training breakage versus a community upscale pipeline bug." + }, + { + "left": "issue:10994", + "right": "issue:9476", + "accept": false, + "reason": "Same training script family, but different failures: batch-size crash versus validation dtype mismatch." + }, + { + "left": "issue:11821", + "right": "issue:12096", + "accept": false, + "reason": "Same pipeline name, but different unsupported feature/error: list-of-prompts handling versus apply_group_offloading incompatibility." + }, + { + "left": "issue:10573", + "right": "issue:11464", + "accept": false, + "reason": "Different pipelines and subsystems: multi-controlnet padding_mask_crop bug versus loading a FLUX LoRA into a FluxControlPipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10191", + "issue:10427", + "issue:10472", + "issue:11343", + "issue:11374", + "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:2663", + "issue:3140", + "issue:3149", + "issue:3162", + "issue:3441", + "issue:4213", + "issue:4303", + "issue:4701", + "issue:5380", + "issue:5616", + "issue:5969", + "issue:6160", + "issue:6323", + "issue:6363", + "issue:6481", + "issue:6552", + "issue:6610", + "issue:6821", + "issue:684", + "issue:7300", + "issue:7341", + "issue:7390", + "issue:7736", + "issue:785", + "issue:8472", + "issue:9186", + "issue:9619", + "issue:9645", + "issue:9660", + "issue:9729", + "issue:9971" + ], + "soft_pairs": [ + "issue:11343|issue:9645", + "issue:11374|issue:7736", + "issue:3162|issue:7341", + "issue:6481|issue:6821", + "issue:8472|issue:9660", + "issue:2663|issue:4303", + "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" + ], + "prepared_review_unit_hash": "436ddae95cd122b7aff94c56c50ebcfa410981f555c36c26b5f5849816af8791", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "No convincing duplicate cluster here: the items span many unrelated bugs, feature requests, and training/import/runtime issues. All soft-edge pairs look like false positives and should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11343", + "right": "issue:9645", + "accept": false, + "reason": "Both are import failures, but one is a broad transformers-version compatibility problem while the other is a specific missing `StableDiffusionLoraLoaderMixin` symbol; different underlying causes." + }, + { + "left": "issue:11374", + "right": "issue:7736", + "accept": false, + "reason": "Feature requests in different areas: SkyReels-V2 support vs adding callbacks support. Not the same change." + }, + { + "left": "issue:3162", + "right": "issue:7341", + "accept": false, + "reason": "Different errors and code paths: missing `learned_classifier_free_sampling_embeddings` vs `TorchVersion`/`Version` comparison failure." + }, + { + "left": "issue:6481", + "right": "issue:6821", + "accept": false, + "reason": "Unrelated training problems: batch size > 1 Dreambooth failure vs invalid `caption_column` value validation error." + }, + { + "left": "issue:8472", + "right": "issue:9660", + "accept": false, + "reason": "One asks about pre-training LoRA with other modules, the other reports `from_pretrained` not setting modules to eval mode; not the same bug." + }, + { + "left": "issue:2663", + "right": "issue:4303", + "accept": false, + "reason": "Both involve loading models, but one is a safetensors/safety-checker loading failure and the other is SDXL crashing in Flax; different subsystems." + }, + { + "left": "issue:12459", + "right": "issue:13277", + "accept": false, + "reason": "Both mention performance/batch behavior, but one is FLUX.1-Kontext-dev throughput and the other is QwenImagePipeline with Ulysses SP batch inputs." + }, + { + "left": "issue:3149", + "right": "issue:785", + "accept": false, + "reason": "Non-determinism in outputs vs scheduler performance cost; clearly different issues." + }, + { + "left": "issue:1156", + "right": "issue:1730", + "accept": false, + "reason": "Generic training failure vs converted Dreambooth CKPT compatibility with webui; not the same underlying problem." + }, + { + "left": "issue:6610", + "right": "issue:7390", + "accept": false, + "reason": "Both touch `from_single_file` in inpaint/controlnet contexts, but the symptoms differ: `num_in_channels` ignored vs explicit controlnet inpaint error." + }, + { + "left": "issue:10472", + "right": "issue:9729", + "accept": false, + "reason": "Different LoRA/Flux problems: unexpected `lora_bias` argument vs unexpected save-model handling for T5EncoderModel." + }, + { + "left": "issue:3441", + "right": "issue:7300", + "accept": false, + "reason": "Both are memory-related, but one is PyTorch 2 without xformers under certain situations and the other is `set_default_attn_processor()` increasing UNet memory; different triggers." + }, + { + "left": "issue:6363", + "right": "issue:6552", + "accept": false, + "reason": "Training FP16 issues, but one is `Attempting to unscale FP16 gradients` in a LoRA script and the other is a resuming problem tracker for FP16 examples." + }, + { + "left": "issue:4213", + "right": "issue:5616", + "accept": false, + "reason": "Different loading failures: `from_single_file()` needing accelerate vs downloaded SDXL safetensors error." + }, + { + "left": "issue:4701", + "right": "issue:6160", + "accept": false, + "reason": "AutoencoderKL CUDA float32 gradient error vs textual inversion Colab trainer error; unrelated code paths." + }, + { + "left": "issue:10191", + "right": "issue:6323", + "accept": false, + "reason": "GPU device selection bug vs TensorRT pipeline attribute-setting bug; no shared concrete defect." + }, + { + "left": "issue:10427", + "right": "issue:9619", + "accept": false, + "reason": "GGUF loading for AuraFlow vs adding interrupt support to ControlNet pipeline; unrelated changes." + }, + { + "left": "issue:11547", + "right": "issue:9186", + "accept": false, + "reason": "Both involve ControlNet/Flux themes, but one is a feature request for Flux fill dev support and the other is differential diffusion with ControlNet pipeline behavior." + }, + { + "left": "issue:11938", + "right": "issue:9971", + "accept": false, + "reason": "RMSNorm parameter registration bug vs DEIS scheduler not working on FLUX; different functionality." + }, + { + "left": "issue:1375", + "right": "issue:2100", + "accept": false, + "reason": "Both are import errors, but one is a general breakage from PR #1365 and the other is a missing `UnCLIPImageVariationPipeline` import." + }, + { + "left": "issue:1572", + "right": "issue:5380", + "accept": false, + "reason": "Stable Diffusion Mega img2img/inpainting failure vs community pipeline mixture tiling; unrelated pipeline features." + }, + { + "left": "issue:1655", + "right": "issue:684", + "accept": false, + "reason": "Initialization failure for `StableDiffusionImageVariationPipeline` vs AMD training memory optimization issue; different bugs." + }, + { + "left": "issue:1672", + "right": "issue:5969", + "accept": false, + "reason": "Wrong image size after conversion vs DDIM NaNs with ZSNR patch; unrelated symptoms and fixes." + }, + { + "left": "issue:2414", + "right": "issue:3140", + "accept": false, + "reason": "`transformers` NameError while loading a model vs inability to import ControlNet pipeline; different import problems with 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": 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-50-3013", + "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:2780", + "issue:2907", + "issue:3086", + "issue:3338", + "issue:3428", + "issue:3674", + "issue:3908", + "issue:4841", + "issue:4972", + "issue:5365", + "issue:5963", + "issue:6028", + "issue:6132", + "issue:6362", + "issue:6452", + "issue:6593", + "issue:6964", + "issue:7180", + "issue:7220", + "issue:7440", + "issue:7485", + "issue:8182", + "issue:8495", + "issue:8673", + "issue:8752", + "issue:9007", + "issue:9239", + "issue:9448", + "issue:9479", + "issue:9637", + "issue:9732" + ], + "soft_pairs": [ + "issue:2780|issue:3674", + "issue:3086|issue:6452", + "issue:4841|issue:9239", + "issue:5963|issue:9007", + "issue:7440|issue:8673", + "issue:9479|issue:9637", + "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" + ], + "prepared_review_unit_hash": "8a9606e26e037c2021264d8636c61b620adcf3b981c699ff6444bf7562599c30", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is mostly heterogeneous; most soft edges are only broad subsystem similarity, not duplicates. The only plausible duplicate is the feature_extractor/safety_checker pipeline-init failure pair (1407 \u2194 1792).", + "confidence": 0.52, + "canonical_issue_reason": "issue:1792 is the clearest and broadest report of the shared initialization failure around missing feature_extractor/safety_checker; it generalizes the same code-path problem more than the PR-specific regression report in 1407.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1792 has a concrete repro and captures the underlying pipeline initialization bug most generally.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2780", + "right": "issue:3674", + "accept": false, + "reason": "Different failures: FP16 gradient unscale vs dataset metadata parsing." + }, + { + "left": "issue:3086", + "right": "issue:6452", + "accept": false, + "reason": "Unrelated pipeline behaviors: audio-to-image vs adding masked_image_latents input." + }, + { + "left": "issue:4841", + "right": "issue:9239", + "accept": false, + "reason": "Both involve image generation issues, but one is image-size handling and the other is black output with ControlNet-Canny." + }, + { + "left": "issue:5963", + "right": "issue:9007", + "accept": false, + "reason": "Different bugs: Kandinsky embeds-vs-prompts handling vs DPMSolver black output at order 3." + }, + { + "left": "issue:7440", + "right": "issue:8673", + "accept": false, + "reason": "Dataset availability is unrelated to SD3 attention-mask handling." + }, + { + "left": "issue:9479", + "right": "issue:9637", + "accept": false, + "reason": "Inpaint mask preservation and XFormers attention-mask/bfloat16 failure are distinct code paths." + }, + { + "left": "issue:4972", + "right": "issue:7180", + "accept": false, + "reason": "Example runtime failure vs SDXL ControlNet CPU offload failure; not the same bug." + }, + { + "left": "issue:11302", + "right": "issue:11315", + "accept": false, + "reason": "Quantized model save issue and MPS float64 rope init bug are unrelated." + }, + { + "left": "issue:6964", + "right": "issue:7220", + "accept": false, + "reason": "Same pipeline family, but one is 4-channel UNet compatibility and the other is unload_ip_adapter cleanup." + }, + { + "left": "issue:6593", + "right": "issue:8752", + "accept": false, + "reason": "LoRA loading request for SDXL Img2Img is unrelated to offline from_single_file loading." + }, + { + "left": "issue:12011", + "right": "issue:9732", + "accept": false, + "reason": "Both mention OOM, but on different models/tasks and likely different causes." + }, + { + "left": "issue:5365", + "right": "issue:6028", + "accept": false, + "reason": "num_inference_steps validation in txt2video is unrelated to Kandinsky OOM." + }, + { + "left": "issue:8182", + "right": "issue:8495", + "accept": false, + "reason": "Logger typo and SD3 tokenizer enum parsing failure are unrelated." + }, + { + "left": "issue:10120", + "right": "issue:6362", + "accept": false, + "reason": "Both are memory complaints, but one is DreamBooth+SD3 and the other is dataset mapping during SDXL fine-tuning." + }, + { + "left": "issue:1407", + "right": "issue:1792", + "accept": true, + "reason": "Both describe the same underlying initialization bug: pipelines error when feature_extractor/safety_checker are missing from SD/SD2-style variants." + }, + { + "left": "issue:2299", + "right": "issue:3338", + "accept": false, + "reason": "Fast-stable-diffusion checkpoint support request vs slow import performance; different issues." + }, + { + "left": "issue:12034", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan 2.2 i2v reports, but one is poor quality and the other is a tiled VAE tensor mismatch." + }, + { + "left": "issue:1251", + "right": "issue:2907", + "accept": false, + "reason": "Black image on MPS in RePaintPipeline vs calling enable_model_cpu_offload twice; not the same bug." + }, + { + "left": "issue:10798", + "right": "issue:13107", + "accept": false, + "reason": "Flux quantization device-combination bug and Flux Klein LoRA missing-key errors are distinct." + }, + { + "left": "issue:7485", + "right": "issue:9448", + "accept": false, + "reason": "Safety checker NoneType callable error vs IP-Adapter tuple shape AttributeError in ControlNet inpaint." + }, + { + "left": "issue:10752", + "right": "issue:12110", + "accept": false, + "reason": "FP16 gradient unscale bug and UNet1DModel GaussianFourier init bug are unrelated." + }, + { + "left": "issue:3428", + "right": "issue:3908", + "accept": false, + "reason": "Different concerns: unexpected img2img behavior vs caching a model in Streamlit." + }, + { + "left": "issue:10100", + "right": "issue:6132", + "accept": false, + "reason": "ConsisID support request is unrelated to adding LOADABLE_CLASSES." + }, + { + "left": "issue:1546", + "right": "issue:1556", + "accept": false, + "reason": "Truncation warning causing batched-input errors is not the same as black images with NSFW warning." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The output is conservative and grounded in the packet. The only accepted duplicate pair, issue:1407 \u2194 issue:1792, is well supported by the titles describing the same missing feature_extractor/safety_checker initialization failure. The other soft-edge rejections are appropriately cautious and do not overclaim 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": 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-50-3013", + "nodes": [ + "issue:10526", + "issue:1068", + "issue:1082", + "issue:1866", + "issue:1925", + "issue:2035", + "issue:235", + "issue:2410", + "issue:2577", + "issue:3103", + "issue:3646", + "issue:3853", + "issue:3954", + "issue:4069", + "issue:4530", + "issue:4630", + "issue:4638", + "issue:4686", + "issue:4692", + "issue:4747", + "issue:4885", + "issue:490", + "issue:4907", + "issue:4911", + "issue:5226", + "issue:525", + "issue:5335", + "issue:5520", + "issue:5572", + "issue:5963", + "issue:6087", + "issue:6232", + "issue:6234", + "issue:6536", + "issue:6657", + "issue:6807", + "issue:7080", + "issue:725", + "issue:7506", + "issue:7694", + "issue:7708", + "issue:8708", + "issue:8831", + "issue:8930", + "issue:9063", + "issue:9147", + "issue:9293", + "issue:967" + ], + "soft_pairs": [ + "issue:235|issue:525", + "issue:3853|issue:5520", + "issue:4630|issue:725", + "issue:4911|issue:9147", + "issue:7080|issue:8930", + "issue:3954|issue:6087", + "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:4692|issue:490", + "issue:4638|issue:5226" + ], + "prepared_review_unit_hash": "61a9c4dd3ce67e744b40c02a232608f29625f8251521fca549c808d59a34a01c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34093, + "estimated_input_tokens": 8524, + "estimated_eval_tokens": 17304 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The listed issues are broadly heterogeneous; the proposed soft pairs mostly share generic ML/diffusers wording but not the same underlying bug or fix path. No single issue stands out as a safe canonical duplicate target for the whole set.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: the collection mixes unrelated problems (CUDA/runtime failures, scheduler math, model loading/serialization, LoRA/Textual Inversion, ControlNet, Flux, SDXL, and architecture bugs), so collapsing them into one duplicate target would be unsafe.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: none of the candidates cleanly represents the rest of the set, and the closest-looking items still point to distinct code paths and failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:235", + "right": "issue:525", + "accept": false, + "reason": "Both mention training/CUDA-adjacent problems, but one is a standalone CUDA porting issue and the other is a local image loading notebook problem; different bug and fix path." + }, + { + "left": "issue:3853", + "right": "issue:5520", + "accept": false, + "reason": "Both are about weight/header deserialization, but the concrete failures differ: LoRA weight loading vs generic HeaderTooLarge serialization error." + }, + { + "left": "issue:4630", + "right": "issue:725", + "accept": false, + "reason": "One asks to modify LoRA weights after loading; the other is about pipeline device mapping / accelerate memory reduction. Related area, but not the same bug." + }, + { + "left": "issue:4911", + "right": "issue:9147", + "accept": false, + "reason": "Both involve Flux/autopipeline loading errors, but one is a custom text_encoder loading failure and the other is a general Flux autopipeline error; not clearly the same code-path issue." + }, + { + "left": "issue:7080", + "right": "issue:8930", + "accept": false, + "reason": "Both concern SDXL ControlNet behavior, but one is a training/inference output mismatch while the other is pose-image conditioning not being respected; different symptoms and likely different causes." + }, + { + "left": "issue:3954", + "right": "issue:6087", + "accept": false, + "reason": "One is a wrong step-count bug in multi-GPU scheduler training, the other is incorrect LoRA alpha persistence on save/load; same broad training area, not same defect." + }, + { + "left": "issue:4686", + "right": "issue:5335", + "accept": false, + "reason": "One is about loading a locally saved pipeline, the other about deploying behind a network block; these are unrelated operational/loading issues." + }, + { + "left": "issue:4885", + "right": "issue:8831", + "accept": false, + "reason": "Both touch LoRA support, but one is an SDXL ControlNet pipeline load issue and the other is unsupported LoRA layers continuation; not the same underlying change." + }, + { + "left": "issue:10526", + "right": "issue:9293", + "accept": false, + "reason": "Both are low-level tensor/storage errors, but one is an optimum.quanto WeightQBytesTensor constructor failure and the other is a missing Float8 storage type; different stack and bug." + }, + { + "left": "issue:1925", + "right": "issue:2577", + "accept": false, + "reason": "One is half-precision inpainting failure, the other is DDIMInverseScheduler behavior; both are diffusion issues but not the same bug." + }, + { + "left": "issue:7708", + "right": "issue:9063", + "accept": false, + "reason": "Both involve Flux/SDXL-style model loading, but one is a missing tokenizer/config file and the other is a tokenizer instantiation compatibility error; distinct failures." + }, + { + "left": "issue:6232", + "right": "issue:7506", + "accept": false, + "reason": "Both mention scheduler/model loading problems, but one is a DPMSolver add_noise edge case and the other is a meta-tensor copy/model init mismatch; unrelated code paths." + }, + { + "left": "issue:1068", + "right": "issue:1082", + "accept": false, + "reason": "Both are runtime failures, but one is a distributed launch/elastic error and the other is a CUDA cublasLtMatmul failure in Dreambooth; not the same defect." + }, + { + "left": "issue:3646", + "right": "issue:4747", + "accept": false, + "reason": "Both are model/API loading issues, but one is ControlNetModel.from_unet missing and the other is missing model_index.json after loading a fine-tuned SDXL LoRA; different targets." + }, + { + "left": "issue:2035", + "right": "issue:4530", + "accept": false, + "reason": "Both mention visual artifacts, but one is tiled upscaling launch/tiling behavior and the other is SDXL refiner color artifacts; too different to merge." + }, + { + "left": "issue:2410", + "right": "issue:5572", + "accept": false, + "reason": "One is a Flax training script output-file issue, the other is a FrozenDict missing scaling_factor attribute in a pipeline; unrelated." + }, + { + "left": "issue:3103", + "right": "issue:4907", + "accept": false, + "reason": "Both relate to inpainting, but one is height/width handling and the other is an SDXL inpainting model warning; not the same concrete bug." + }, + { + "left": "issue:4069", + "right": "issue:7694", + "accept": false, + "reason": "One is about unloading textual inversion checkpoints from a pipeline; the other is checkpoint key updates for ControlNetXS. Same ecosystem, different changes." + }, + { + "left": "issue:5963", + "right": "issue:6807", + "accept": false, + "reason": "One is Kandinsky embeddings vs prompts behavior, the other is MPS test collection failure; no shared bug or fix." + }, + { + "left": "issue:6234", + "right": "issue:8708", + "accept": false, + "reason": "One is an example script issue for SDXL training, the other is a missing VAE shift_factor in SD3 dreambooth examples; different model family and issue." + }, + { + "left": "issue:6536", + "right": "issue:6657", + "accept": false, + "reason": "One is UNet3DConditionModel fine-tuning OOM, the other is frames/channels being swapped in UNet3DConditionModel; memory vs tensor-shape bug." + }, + { + "left": "issue:1866", + "right": "issue:967", + "accept": false, + "reason": "Both are scheduler incompatibilities, but one is img2img strength handling in DPMSolverSinglestepScheduler and the other is OnnxStableDiffusionPipeline unsupported operand errors; not the same fix." + }, + { + "left": "issue:4692", + "right": "issue:490", + "accept": false, + "reason": "Both concern memory, but one is a UNet2DConditionModel memory issue and the other is a broad pipeline memory comparison; too generic to treat as duplicate." + }, + { + "left": "issue:4638", + "right": "issue:5226", + "accept": false, + "reason": "Both are about loading LoRA/textual inversion on SDXL pipelines, but one is textual inversion loading and the other is adapter pipeline LoRA support; different pipeline 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": 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-50-3013", + "nodes": [ + "issue:10003", + "issue:10010", + "issue:10194", + "issue:10392", + "issue:10450", + "issue:1062", + "issue:10782", + "issue:11117", + "issue:11570", + "issue:11830", + "issue:12082", + "issue:12783", + "issue:1298", + "issue:13137", + "issue:1478", + "issue:1790", + "issue:2132", + "issue:2276", + "issue:2332", + "issue:2410", + "issue:2728", + "issue:2783", + "issue:2803", + "issue:3086", + "issue:3149", + "issue:3171", + "issue:3451", + "issue:4709", + "issue:4733", + "issue:5315", + "issue:5605", + "issue:5931", + "issue:6232", + "issue:6727", + "issue:6790", + "issue:6906", + "issue:7415", + "issue:761", + "issue:7895", + "issue:8440", + "issue:8578", + "issue:9393", + "issue:9670", + "issue:9756", + "issue:9763", + "issue:9858", + "issue:9926", + "issue:9953" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "913085fb97cc5e8bb47aeb7c2eb95d8fbda379ceafff007b044ceb2152db1c86", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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": "No soft pair looks like a safe duplicate merge candidate; the set is a heterogeneous mix of unrelated scheduler, Flux, DreamBooth, quantization, docs, and feature-request issues. No PRs are present.", + "confidence": 0.94, + "canonical_issue_reason": "No single issue is a safe canonical here: the items span unrelated bugs and feature requests across different pipelines, model families, and tooling.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for duplication triage because the cluster does not center on one underlying defect or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1062", + "right": "issue:2332", + "accept": false, + "reason": "Both mention DreamBooth, but one is about training repeatability and the other about inference after training; different failure modes and code paths." + }, + { + "left": "issue:2132", + "right": "issue:4733", + "accept": false, + "reason": "Both are DreamBooth training issues, but 'Accelerator.trackers' missing and checkpoint resume optimizer checks are unrelated bugs." + }, + { + "left": "issue:5315", + "right": "issue:6232", + "accept": false, + "reason": "Both are scheduler bugs, but they target different schedulers and different methods (DDIMInverseScheduler.step vs DPMSolverSinglestepScheduler.add_noise)." + }, + { + "left": "issue:6790", + "right": "issue:6906", + "accept": false, + "reason": "LCM state_dict key mismatch and a broken LoRA DreamBooth example are different training problems, not one underlying defect." + }, + { + "left": "issue:11117", + "right": "issue:7415", + "accept": false, + "reason": "Both are dtype-related, but they affect different pipelines/devices and have different mismatch scenarios (SD3 Half/BFloat16 vs AutoencoderKL bfloat16 on TPU)." + }, + { + "left": "issue:2410", + "right": "issue:3451", + "accept": false, + "reason": "Missing model output files in a Flax training script is unrelated to fp16 memory usage in another training script." + }, + { + "left": "issue:11570", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized components, but one breaks LoRA weight loading on bitsandbytes text encoders while the other breaks moving a quantized pipeline to CUDA." + }, + { + "left": "issue:2728", + "right": "issue:2803", + "accept": false, + "reason": "A safetensors loading issue and a local docs build failure are clearly unrelated." + }, + { + "left": "issue:10003", + "right": "issue:8578", + "accept": false, + "reason": "A scheduler bug at 1000 inference steps and a meta-tensor copy error during loading are different bugs with different triggers." + }, + { + "left": "issue:10010", + "right": "issue:9756", + "accept": false, + "reason": "A missing model_index.json for FLUX Fill and a missing notebook file are unrelated path/resource issues." + }, + { + "left": "issue:10450", + "right": "issue:7895", + "accept": false, + "reason": "Different Flux/Flax blocks and a broken memory-efficient attention path are not the same concrete problem." + }, + { + "left": "issue:10782", + "right": "issue:13137", + "accept": false, + "reason": "These concern different models and different adapter/LoRA behaviors, so they are not duplicates." + }, + { + "left": "issue:1298", + "right": "issue:1478", + "accept": false, + "reason": "One is a regression in Stable Diffusion img2img; the other is an output-count limitation in the upscale pipeline." + }, + { + "left": "issue:1790", + "right": "issue:761", + "accept": false, + "reason": "A generic training question is not the same as a DreamBooth 8-bit optimizer failure." + }, + { + "left": "issue:2783", + "right": "issue:3171", + "accept": false, + "reason": "Both are ControlNet feature requests, but they ask for different features and do not describe the same change." + }, + { + "left": "issue:3086", + "right": "issue:5605", + "accept": false, + "reason": "Input-audio/output-image and per-image caption support are unrelated feature requests." + }, + { + "left": "issue:3149", + "right": "issue:5931", + "accept": false, + "reason": "Both mention nondeterminism, but they are broad symptom reports in different contexts and versions; not clearly the same underlying bug." + }, + { + "left": "issue:6727", + "right": "issue:8440", + "accept": false, + "reason": "These are different ValueError contexts in different APIs; the titles do not indicate one shared bug." + }, + { + "left": "issue:12082", + "right": "issue:9763", + "accept": false, + "reason": "GPU memory growth after compile and token truncation in Flux ControlNet training are unrelated issues." + }, + { + "left": "issue:2276", + "right": "issue:4709", + "accept": false, + "reason": "A xformers installation problem in a Colab notebook is unrelated to ControlNet guess mode support." + }, + { + "left": "issue:11830", + "right": "issue:12783", + "accept": false, + "reason": "Both are visual-output problems, but black output in framepack fp16 and confetti/noisy output on sm90 are different symptoms with different likely causes." + }, + { + "left": "issue:9393", + "right": "issue:9858", + "accept": false, + "reason": "Saving a Flux DreamBooth LoRA with DeepSpeed and a KeyError: 'train' are not the same bug." + }, + { + "left": "issue:10194", + "right": "issue:9926", + "accept": false, + "reason": "Flux attention masking support and gguf quantize/speed-up support are different feature requests." + }, + { + "left": "issue:10392", + "right": "issue:9670", + "accept": false, + "reason": "A Flux fp8/LoRA compatibility issue and a PEFT-backend requirement for loading LoRA are distinct adapter-loading 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": 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-50-3013", + "nodes": [ + "issue:10277", + "issue:10673", + "issue:11093", + "issue:11581", + "issue:11874", + "issue:12034", + "issue:12108", + "issue:12175", + "issue:13203", + "issue:2371", + "issue:2614", + "issue:2772", + "issue:2776", + "issue:3019", + "issue:3073", + "issue:3087", + "issue:3570", + "issue:3631", + "issue:4057", + "issue:4337", + "issue:4398", + "issue:4554", + "issue:4649", + "issue:4668", + "issue:4782", + "issue:4874", + "issue:5178", + "issue:5593", + "issue:6125", + "issue:6313", + "issue:6667", + "issue:6700", + "issue:7168", + "issue:7348", + "issue:7378", + "issue:7417", + "issue:7661", + "issue:8469", + "issue:8831", + "issue:9223", + "issue:9298", + "issue:9534", + "issue:9660", + "issue:9665", + "issue:9674", + "issue:9704", + "issue:9933" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "aec09ecac663944e4ba13573a8937db2b49beee94d76805425b6be451115debe", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33366, + "estimated_input_tokens": 8342, + "estimated_eval_tokens": 16940 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a false-positive semantic cluster: the items span unrelated model, pipeline, training, and dependency issues. None of the soft pairs describe the same concrete bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the set is heterogeneous and the soft-paired items are not the same underlying bug. If forced, 12108 is only the closest thematic match because it is one of the few scheduler/flow-matching reports, but it still does not represent the whole set.", + "canonical_pr_reason": null, + "best_issue_reason": "There is no good global best issue for dedupe here because the cluster is not a true duplicate group. The issues are too diverse in model, subsystem, and failure mode to use one as the representative canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11093", + "right": "issue:8469", + "accept": false, + "reason": "Different problems: TorchAO example breakage vs IP-Adapter face corruption." + }, + { + "left": "issue:12034", + "right": "issue:12175", + "accept": false, + "reason": "Both mention quality, but they are different models and likely different root causes." + }, + { + "left": "issue:2614", + "right": "issue:3570", + "accept": false, + "reason": "Download-directory configuration vs disabling downloads when loading ckpt are separate behaviors." + }, + { + "left": "issue:2776", + "right": "issue:9223", + "accept": false, + "reason": "DeepSpeed/runtime setup issue vs Python dependency conflict; unrelated." + }, + { + "left": "issue:3073", + "right": "issue:3087", + "accept": false, + "reason": "Feature request for consistency models vs LoRA/LyCORIS support request." + }, + { + "left": "issue:3631", + "right": "issue:4782", + "accept": false, + "reason": "Inpainting latents exception is not the same as mask leakage during inpainting." + }, + { + "left": "issue:3631", + "right": "issue:7378", + "accept": false, + "reason": "Inpainting exception vs AnimateDiff video-to-video memory usage; different code paths." + }, + { + "left": "issue:4337", + "right": "issue:4554", + "accept": false, + "reason": "torch.compile ControlNetReference failure is distinct from Kandinsky OOM." + }, + { + "left": "issue:4398", + "right": "issue:8831", + "accept": false, + "reason": "SDXL LORA dreambooth black images and unsupported-layers continuation are not the same bug." + }, + { + "left": "issue:7168", + "right": "issue:7661", + "accept": false, + "reason": "IP-Adapter embedding shape issue vs request to support IP-Adapter in AnimateDiff." + }, + { + "left": "issue:9534", + "right": "issue:9665", + "accept": false, + "reason": "Missing config attribute in FluxMultiControlNetModel is unrelated to accelerator.prepare being affected by DeepSpeed config." + }, + { + "left": "issue:3019", + "right": "issue:6313", + "accept": false, + "reason": "A model request and a pipeline implementation request are different changes." + }, + { + "left": "issue:10673", + "right": "issue:9704", + "accept": false, + "reason": "Shape mismatch in AuraFlow pipeline vs cuDNN frontend execution-plan error; different failure modes." + }, + { + "left": "issue:6667", + "right": "issue:9674", + "accept": false, + "reason": "controlnet-xs-inpaint request is not the same as poor SD3 controlnet training results." + }, + { + "left": "issue:2371", + "right": "issue:4057", + "accept": false, + "reason": "Dreambooth output omission vs blurred finetuned inpainting output are distinct issues." + }, + { + "left": "issue:5593", + "right": "issue:9660", + "accept": false, + "reason": "AutoPipeline.from_pipe with ControlNet vs from_pretrained not setting eval mode are separate bugs." + }, + { + "left": "issue:6125", + "right": "issue:9933", + "accept": false, + "reason": "UnetMotionModel parameter handling is unrelated to missing width/height in SD3 img2img." + }, + { + "left": "issue:10277", + "right": "issue:12108", + "accept": false, + "reason": "Both mention schedulers/flow matching, but they target different pipelines and concrete failure contexts." + }, + { + "left": "issue:11874", + "right": "issue:13203", + "accept": false, + "reason": "LoRA exclude_modules behavior is a different support issue than Zimage LoRA support." + }, + { + "left": "issue:5178", + "right": "issue:7417", + "accept": false, + "reason": "DPM SDE resolution-change bug is unrelated to the Mac lora_fuse_nan test failure." + }, + { + "left": "issue:2772", + "right": "issue:4874", + "accept": false, + "reason": "Local dataset validation in train_controlnet.py is not the same as low_res_scheduler behavior in upscale pipeline." + }, + { + "left": "issue:4668", + "right": "issue:7348", + "accept": false, + "reason": "Weird images from Kohya-style LoRA vs weird results with EulerAncestralControlNetInpaint are not the same concrete bug." + }, + { + "left": "issue:4649", + "right": "issue:6700", + "accept": false, + "reason": "Both are TypeErrors in model internals, but they arise from different parameters and code paths." + }, + { + "left": "issue:11581", + "right": "issue:9298", + "accept": false, + "reason": "IP-Adapter dtype kwarg error is unrelated to missing Float8 storage type." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10550", + "issue:10640", + "issue:10658", + "issue:11321", + "issue:11408", + "issue:12470", + "issue:1255", + "issue:1290", + "issue:1685", + "issue:181", + "issue:3062", + "issue:307", + "issue:3085", + "issue:3251", + "issue:3382", + "issue:3643", + "issue:3645", + "issue:3674", + "issue:3824", + "issue:3910", + "issue:4075", + "issue:4213", + "issue:4222", + "issue:4453", + "issue:4483", + "issue:4578", + "issue:4585", + "issue:4676", + "issue:4705", + "issue:4756", + "issue:5109", + "issue:5209", + "issue:5328", + "issue:5405", + "issue:5578", + "issue:5645", + "issue:5769", + "issue:5786", + "issue:6164", + "issue:6274", + "issue:6476", + "issue:6742", + "issue:7021", + "issue:7178", + "issue:7813", + "issue:8393", + "issue:8930", + "issue:9046" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "1a2aa09a712c355ef9219e55d96caf26a4ed2836f8c5f4cf4b01ea5490c7f0db", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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 set is a loose collection of unrelated issues; the soft-matched pairs only share vague topic similarity and do not describe the same underlying bug or change. 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:6476", + "right": "issue:7178", + "accept": false, + "reason": "Both mention export_to_video, but one is an OpenCV-version crash and the other is a general malfunction report; no evidence they are the same failure mode." + }, + { + "left": "issue:4213", + "right": "issue:6742", + "accept": false, + "reason": "SDXL single-file loading without accelerate is unrelated to DownBlockMotion checkpointing behavior; different code paths and symptoms." + }, + { + "left": "issue:5109", + "right": "issue:8930", + "accept": false, + "reason": "One is a LoRA-loading exception in a specific ControlNet img2img pipeline, the other is poor pose adherence in another pipeline; not the same bug." + }, + { + "left": "issue:181", + "right": "issue:3382", + "accept": false, + "reason": "Both concern training, but one is image writing failure and the other is multi-GPU OOM; different problems and fixes." + }, + { + "left": "issue:3643", + "right": "issue:6164", + "accept": false, + "reason": "INT_MAX overflow during latent decoding is a low-level runtime error, while latent output handling is a pipeline API/behavior issue; unrelated." + }, + { + "left": "issue:10550", + "right": "issue:11408", + "accept": false, + "reason": "LoRA into a quantized base model and set_adapters on compiled models are separate adapter/quantization concerns with different failure points." + }, + { + "left": "issue:10640", + "right": "issue:7021", + "accept": false, + "reason": "DataParallel error in FluxInpaintPipeline is unrelated to HF_HOME import errors." + }, + { + "left": "issue:10658", + "right": "issue:12470", + "accept": false, + "reason": "ONNX Runtime provider_options request and DiffusersQuantizer API additions are different feature requests with no shared code-path bug." + }, + { + "left": "issue:11321", + "right": "issue:9046", + "accept": false, + "reason": "A README bug for Flux controlnet training is documentation-only; Flux VAE latent_channels is a model-architecture question." + }, + { + "left": "issue:1255", + "right": "issue:4585", + "accept": false, + "reason": "Importing DPMSolverMultistepScheduler and SDXL MultiControlNet documentation are unrelated." + }, + { + "left": "issue:1290", + "right": "issue:307", + "accept": false, + "reason": "Community DreamArtist project post is not the same as a request to merge Stable Diffusion pipelines into one." + }, + { + "left": "issue:1685", + "right": "issue:3251", + "accept": false, + "reason": "Telemetry opt-out and ControlNet Shuffle guidance are unrelated issues." + }, + { + "left": "issue:3062", + "right": "issue:4075", + "accept": false, + "reason": "Different docstring questions for different classes; no same underlying bug or change." + }, + { + "left": "issue:3085", + "right": "issue:4483", + "accept": false, + "reason": "Removed cache-folder argument and SDXL generator nondeterminism are separate API/behavior issues." + }, + { + "left": "issue:3645", + "right": "issue:4705", + "accept": false, + "reason": "Training/finetuning questions for inpainting pipelines are not the same problem as modifying train_controlnet.py for inpainting." + }, + { + "left": "issue:3674", + "right": "issue:4756", + "accept": false, + "reason": "metadata.jsonl parsing in LoRA training and a request for style-training support are different training-data concerns." + }, + { + "left": "issue:3824", + "right": "issue:7813", + "accept": false, + "reason": "Question about inpaint pipeline variants and a TODO about passing timesteps are unrelated." + }, + { + "left": "issue:3910", + "right": "issue:5328", + "accept": false, + "reason": "Certain LoRA weights failing to load and Civital LoRAs all failing likely refer to different loader/asset issues without concrete overlap." + }, + { + "left": "issue:4222", + "right": "issue:5786", + "accept": false, + "reason": "Low-resolution dataset training guidance and loading a precomputed cache on another machine are different usage questions." + }, + { + "left": "issue:4453", + "right": "issue:5209", + "accept": false, + "reason": "Converting SDXL LoRA to safetensors for A1111 and black validation images in a script are unrelated." + }, + { + "left": "issue:4578", + "right": "issue:5405", + "accept": false, + "reason": "Documentation claim about VAE usage and from_single_file not overwriting weights are distinct problems." + }, + { + "left": "issue:4676", + "right": "issue:8393", + "accept": false, + "reason": "TAESD latent brightness and checkpoint-shard loading time are unrelated performance/quality topics." + }, + { + "left": "issue:5578", + "right": "issue:5769", + "accept": false, + "reason": "Missing model_index.json and mixed-precision training correctness are unrelated." + }, + { + "left": "issue:5645", + "right": "issue:6274", + "accept": false, + "reason": "LCM support broken and multi-adapter T2I-Adapter behavior are different features with different failure 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": 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-50-3013", + "nodes": [ + "issue:10798", + "issue:1614", + "issue:1672", + "issue:2201", + "issue:255", + "issue:2704", + "issue:2904", + "issue:3194", + "issue:3249", + "issue:3651", + "issue:3683", + "issue:409", + "issue:4286", + "issue:4450", + "issue:4868", + "issue:5109", + "issue:5178", + "issue:5523", + "issue:5678", + "issue:5791", + "issue:5845", + "issue:5849", + "issue:5969", + "issue:6110", + "issue:6681", + "issue:6869", + "issue:6906", + "issue:6967", + "issue:7000", + "issue:7102", + "issue:7209", + "issue:7333", + "issue:7354", + "issue:7516", + "issue:7548", + "issue:7955", + "issue:7972", + "issue:8477", + "issue:8671", + "issue:8918", + "issue:8943", + "issue:9055", + "issue:9161", + "issue:9366", + "issue:9415", + "issue:9476", + "issue:9477", + "issue:9856" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "048347806f56ba71778fbc64410a3f5b1b1aea2f649a4caca55ea3549cd56ba3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34415, + "estimated_input_tokens": 8604, + "estimated_eval_tokens": 17464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated issues that only share broad diffusers/Stable Diffusion themes. I only see one plausible duplicate edge around export_to_video; the rest are different bugs, features, or scripts and should stay separate.", + "confidence": 0.58, + "canonical_issue_reason": "issue:6869 is the most concrete report in the only plausible duplicate pair: it names the exact export_to_video failure and error, while issue:6681 is just a generic version of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6869 is the best representative issue for this cluster because it is specific, reproducible, and the clearest candidate for deduplication; most other items are too heterogeneous to serve as a canonical bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5845", + "right": "issue:6906", + "accept": false, + "reason": "Both concern DreamBooth/LoRA training, but they target different setups (PixArt Alpha vs the generic LoRA example) and do not look like the same underlying bug." + }, + { + "left": "issue:6681", + "right": "issue:6869", + "accept": true, + "reason": "Both are about export_to_video failing; 6869 provides the concrete ValueError while 6681 is the generic report, so they likely describe the same bug." + }, + { + "left": "issue:7333", + "right": "issue:7955", + "accept": false, + "reason": "Completely different research/model topics with no shared failure mode or code path." + }, + { + "left": "issue:8671", + "right": "issue:8918", + "accept": false, + "reason": "One is about redundant code in a script, the other about a broken training script; same family of files but not the same bug." + }, + { + "left": "issue:8943", + "right": "issue:9477", + "accept": false, + "reason": "A missing shared library at install time is unrelated to the GatheredParameters callable error." + }, + { + "left": "issue:6967", + "right": "issue:7972", + "accept": false, + "reason": "Different training/inference features and different failure types; no evidence of a shared concrete defect." + }, + { + "left": "issue:1672", + "right": "issue:2201", + "accept": false, + "reason": "Wrong output image size after conversion is unrelated to tokenizer padding differences." + }, + { + "left": "issue:3194", + "right": "issue:4868", + "accept": false, + "reason": "Bitsandbytes package metadata missing is unrelated to the super().__getattr__ AttributeError." + }, + { + "left": "issue:3249", + "right": "issue:7354", + "accept": false, + "reason": "These are distinct scheduler/block API issues with no shared code-path bug." + }, + { + "left": "issue:8477", + "right": "issue:9415", + "accept": false, + "reason": "A distributed training error and a model-parameter API error are not the same underlying issue." + }, + { + "left": "issue:255", + "right": "issue:409", + "accept": false, + "reason": "Shape-validation error in StableDiffusionPipeline is unrelated to the missing enable_attention_slicing attribute." + }, + { + "left": "issue:3683", + "right": "issue:4450", + "accept": false, + "reason": "Implementing save_pretrained for Multi-ControlNet is a different change from multi text inversion not working." + }, + { + "left": "issue:7516", + "right": "issue:9055", + "accept": false, + "reason": "Missing DepthNormalEstimationPipeline export is unrelated to missing StableDiffusionLoraLoaderMixin import." + }, + { + "left": "issue:2904", + "right": "issue:5523", + "accept": false, + "reason": "AudioLDM scheduler initialization failure is unrelated to nondeterministic results across runs." + }, + { + "left": "issue:7000", + "right": "issue:7548", + "accept": false, + "reason": "A PyTorch deprecation warning is not the same as flickering AnimateDiff outputs." + }, + { + "left": "issue:3651", + "right": "issue:5178", + "accept": false, + "reason": "Multi-GPU training failure and DPM-SDE resolution-change failure are different bugs." + }, + { + "left": "issue:1614", + "right": "issue:5969", + "accept": false, + "reason": "Blank black images under autocast and NaNs with ZSNR patch are different numerical issues." + }, + { + "left": "issue:5678", + "right": "issue:5791", + "accept": false, + "reason": "Higher-order derivative failure in attention is unrelated to DreamBooth prior preservation/SNR gamma training behavior." + }, + { + "left": "issue:5849", + "right": "issue:9856", + "accept": false, + "reason": "A missing main() args error is unrelated to distributed port contention." + }, + { + "left": "issue:6110", + "right": "issue:7209", + "accept": false, + "reason": "Offline LoRA loading and offline single-file loading are related thematically but not the same concrete failure." + }, + { + "left": "issue:2704", + "right": "issue:7102", + "accept": false, + "reason": "Multi-ControlNet batching and multi-prompt controlnet bugs are different issues even though they touch the same subsystem." + }, + { + "left": "issue:4286", + "right": "issue:5109", + "accept": false, + "reason": "Both mention load_lora_weights, but they are different pipelines and the reported failures are not clearly the same bug." + }, + { + "left": "issue:9161", + "right": "issue:9476", + "accept": false, + "reason": "Distributed bugs in Flux LoRA training and a validation dtype mismatch are distinct problems." + }, + { + "left": "issue:10798", + "right": "issue:9366", + "accept": false, + "reason": "Flux quantization/device-combination issues and DPMSolver step/strength failures are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only accepted soft edge, issue:6681 \u2194 issue:6869, is supported by the packet: both are about export_to_video and 6869 provides the concrete ValueError while 6681 is generic. The remaining rejections do not overstate evidence, and the summary appropriately treats the rest of the cluster as heterogeneous." + }, + "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": 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-50-3013", + "nodes": [ + "issue:10209", + "issue:10337", + "issue:10636", + "issue:10760", + "issue:10891", + "issue:10967", + "issue:11137", + "issue:11962", + "issue:12613", + "issue:12653", + "issue:12666", + "issue:13311", + "issue:1802", + "issue:215", + "issue:2581", + "issue:2645", + "issue:2676", + "issue:280", + "issue:2905", + "issue:2973", + "issue:3336", + "issue:3570", + "issue:4116", + "issue:4186", + "issue:4263", + "issue:4789", + "issue:487", + "issue:5006", + "issue:5064", + "issue:5523", + "issue:5714", + "issue:6383", + "issue:656", + "issue:6632", + "issue:6956", + "issue:7441", + "issue:8320", + "issue:8534", + "issue:8535", + "issue:8589", + "issue:8641", + "issue:8958", + "issue:9031", + "issue:9039", + "issue:9178", + "issue:9467", + "issue:9515" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "59fe3be7c957a5b966121e72e4eea7f3ffd11f153b2d4ab8bfa59dc24e11274f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32960, + "estimated_input_tokens": 8240, + "estimated_eval_tokens": 16736 + }, + "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 issues across different models, pipelines, schedulers, and backend/device bugs. All soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a valid canonical duplicate target because the items describe distinct problems or feature requests with different code paths.", + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12613", + "right": "issue:13311", + "accept": false, + "reason": "Different problems: WAN 2.2 i2v latent NaNs vs FLUX2 LoRA key loading prefix mismatch." + }, + { + "left": "issue:10209", + "right": "issue:9467", + "accept": false, + "reason": "Unrelated model/pipeline bugs: CogVideoX fine-tuning error vs CogVideoX I2V num_frames guard-rail." + }, + { + "left": "issue:2676", + "right": "issue:3336", + "accept": false, + "reason": "Scheduler-name question vs DPM-Solver inverse scheduler feature request; not the same issue." + }, + { + "left": "issue:3570", + "right": "issue:4789", + "accept": false, + "reason": "Loading control/download behavior vs DeepFloyd IF download failure; different code paths." + }, + { + "left": "issue:10636", + "right": "issue:8589", + "accept": false, + "reason": "General bug in value_guided_sampling.py vs SD3 DreamBooth prior-preservation training issue." + }, + { + "left": "issue:11962", + "right": "issue:9178", + "accept": false, + "reason": "GGUF quantized FLUX.1-Kontext support request vs Flux LoRA PEFT target-module error." + }, + { + "left": "issue:1802", + "right": "issue:487", + "accept": false, + "reason": "Different generations and symptoms: unet_2d_condition encoder_hidden_states handling vs M1 CPU failure." + }, + { + "left": "issue:10209", + "right": "issue:12666", + "accept": false, + "reason": "Different pipelines: CogVideoX fine-tuning error vs Kandinsky 5.0 video pipeline availability in a release." + }, + { + "left": "issue:10337", + "right": "issue:11137", + "accept": false, + "reason": "FLUX IPAdapter quantization failure vs LattePipeline dtype mismatch; separate models/code paths." + }, + { + "left": "issue:215", + "right": "issue:656", + "accept": false, + "reason": "Generic from_pretrained kill vs DreamBooth 16GB GPU error; too broad and not the same bug." + }, + { + "left": "issue:280", + "right": "issue:2905", + "accept": false, + "reason": "Add DEIS scheduler vs add Karras sigmas to schedulers; related area but distinct changes." + }, + { + "left": "issue:4116", + "right": "issue:8320", + "accept": false, + "reason": "SDXL img2img embeddings bug vs from_single_file AutoencoderKL __name__ attribute regression." + }, + { + "left": "issue:4263", + "right": "issue:6632", + "accept": false, + "reason": "LoRA unloading bug vs question about save_state in LoRA training scripts; different concerns." + }, + { + "left": "issue:5714", + "right": "issue:7441", + "accept": false, + "reason": "PeftModel support in maybe_raise_or_warn vs pytest failing on Python 3.12; unrelated." + }, + { + "left": "issue:6383", + "right": "issue:9515", + "accept": false, + "reason": "Multi-stage learning-rate scheduler support vs SD3 JointAttnProcessor RMSNorm omission." + }, + { + "left": "issue:8534", + "right": "issue:8535", + "accept": false, + "reason": "SD3 dreambooth logit-normal weighting bug vs SD3 xformers attention support; separate issues." + }, + { + "left": "issue:9031", + "right": "issue:9039", + "accept": false, + "reason": "Flax pipeline safety checker question vs Flax LoRA loading question; not the same underlying bug." + }, + { + "left": "issue:2973", + "right": "issue:5523", + "accept": false, + "reason": "enable_model_cpu_offload changes results vs inconsistent runs; too generic and not clearly the same defect." + }, + { + "left": "issue:10760", + "right": "issue:8958", + "accept": false, + "reason": "ONNX import attribute bug vs PyTorch 2.4 torch.library.register_fake incompatibility; unrelated." + }, + { + "left": "issue:5006", + "right": "issue:6956", + "accept": false, + "reason": "SDXL BF16 training OOM vs StableVideoDiffusion SageMaker OOM; same symptom class, different workloads/code paths." + }, + { + "left": "issue:10891", + "right": "issue:12653", + "accept": false, + "reason": "DCAE bfloat16 type conversion bug vs PRX rope float64 reference on MPS/npu; different models and failures." + }, + { + "left": "issue:4186", + "right": "issue:5064", + "accept": false, + "reason": "SDXL inpaint/refiner interaction vs refiner inference out-of-space; different symptoms and fixes." + }, + { + "left": "issue:10967", + "right": "issue:8641", + "accept": false, + "reason": "Integrating LaVie/Cinemo vs integrating Lumina-T2X; separate feature requests." + }, + { + "left": "issue:2581", + "right": "issue:2645", + "accept": false, + "reason": "ControlNet checkpoint conversion feature vs Mac M1 CUDA assertion 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": 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-50-3013", + "nodes": [ + "issue:10030", + "issue:10121", + "issue:10584", + "issue:11225", + "issue:11574", + "issue:11601", + "issue:12052", + "issue:13281", + "issue:1746", + "issue:1933", + "issue:2668", + "issue:3116", + "issue:3209", + "issue:3406", + "issue:3441", + "issue:3960", + "issue:4075", + "issue:4104", + "issue:4249", + "issue:4483", + "issue:4701", + "issue:4801", + "issue:4911", + "issue:5081", + "issue:5224", + "issue:5313", + "issue:5365", + "issue:5703", + "issue:5981", + "issue:6091", + "issue:6131", + "issue:7365", + "issue:7418", + "issue:7460", + "issue:7636", + "issue:8309", + "issue:8649", + "issue:8839", + "issue:8898", + "issue:9052", + "issue:9092", + "issue:929", + "issue:9476", + "issue:9516", + "issue:9822", + "issue:984", + "issue:9873" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "7a032c4fce90cd33daf1666e87e83a69dae106d9aedcc2f222ba1eb1fec5b657", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33265, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 + }, + "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 across ControlNet, Flux, schedulers, loaders, training examples, and documentation. None of the proposed soft pairs looks like the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #10030 is the most concrete, code-path-specific bug report in the set: it names the failing pipeline and the missing ControlNet `added_cond_kwargs` contract clearly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #10030 is the best representative issue because it is narrowly scoped, reproducible, and tied to a specific pipeline mismatch rather than a broad symptom or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3116", + "right": "issue:3441", + "accept": false, + "reason": "Both involve diffusion internals, but one is a scheduler/noise bug and the other is a VRAM regression; different symptoms and code paths." + }, + { + "left": "issue:3209", + "right": "issue:984", + "accept": false, + "reason": "Both mention large inputs/tensor shape issues, but one is an AutoencoderKL NaN problem and the other is an interpolation/batch-size failure; not the same bug." + }, + { + "left": "issue:6131", + "right": "issue:9092", + "accept": false, + "reason": "IP-Adapter Plus not working and Flux model_index.json missing are separate loading/configuration issues." + }, + { + "left": "issue:11574", + "right": "issue:8839", + "accept": false, + "reason": "Both are weight-loading errors, but they affect different models and failure modes (missing VAE key vs SD3 LoRA weight mismatch)." + }, + { + "left": "issue:11225", + "right": "issue:9476", + "accept": false, + "reason": "Training OOM on validation and Flux validation dtype mismatch are unrelated training failures." + }, + { + "left": "issue:4483", + "right": "issue:5081", + "accept": false, + "reason": "Determinism of the generator and a matmul shape error are different problems in different parts of the pipeline." + }, + { + "left": "issue:8309", + "right": "issue:9873", + "accept": false, + "reason": "A feature request for conditional diffusion distillation is not the same change as adding an OmniGen pipeline." + }, + { + "left": "issue:2668", + "right": "issue:4104", + "accept": false, + "reason": "ControlNet image misrouted as Img2Img input and black-image casting warnings are different bugs with different mechanisms." + }, + { + "left": "issue:3116", + "right": "issue:5703", + "accept": false, + "reason": "Both are scheduler-related, but one is latent noise in img2img and the other is ddim_inverse reconstruction failure; different code paths." + }, + { + "left": "issue:4701", + "right": "issue:6091", + "accept": false, + "reason": "AutoencoderKL differentiation CUDA error and consistency-decoder memory usage are unrelated." + }, + { + "left": "issue:3960", + "right": "issue:5313", + "accept": false, + "reason": "A LoRA header-too-large loading error and non-revertible LoRA fuse are different LoRA issues." + }, + { + "left": "issue:12052", + "right": "issue:13281", + "accept": false, + "reason": "Both describe offloading/device mismatch, but they involve different models and different offloading implementations; too broad to treat as the same bug." + }, + { + "left": "issue:11601", + "right": "issue:8898", + "accept": false, + "reason": "Missing `use_safetensors` propagation and subfolder loading ValueError are separate loader bugs." + }, + { + "left": "issue:1746", + "right": "issue:5224", + "accept": false, + "reason": "Two Flax Stable Diffusion errors, but no shared failing behavior or code path is evident from the titles." + }, + { + "left": "issue:1933", + "right": "issue:4075", + "accept": false, + "reason": "Both are docstring-only issues, but they touch different classes and unrelated text changes." + }, + { + "left": "issue:3406", + "right": "issue:929", + "accept": false, + "reason": "Both mention attention, but one is a functional `only_cross_attention` bug and the other is a duplicate square-root calculation; not the same issue." + }, + { + "left": "issue:4249", + "right": "issue:7365", + "accept": false, + "reason": "Both concern pipeline input handling, but one is `prompt_embeds` validation in upscale and the other is pooled embeddings being overwritten; not close enough." + }, + { + "left": "issue:4801", + "right": "issue:5981", + "accept": false, + "reason": "Mixed-precision training example bug and DPMSolverMultistepScheduler bug are unrelated." + }, + { + "left": "issue:4911", + "right": "issue:9052", + "accept": false, + "reason": "Both involve `from_single_file`, but one is custom text encoder loading and the other is checkpoint compatibility with certain civit files; different underlying causes." + }, + { + "left": "issue:5365", + "right": "issue:8649", + "accept": false, + "reason": "Txt2video inference-step handling and SD3 `num_images_per_prompt` handling are unrelated pipeline parameter bugs." + }, + { + "left": "issue:7418", + "right": "issue:7460", + "accept": false, + "reason": "An example script bug and an AdaLayerNorm bug are clearly different." + }, + { + "left": "issue:9516", + "right": "issue:9822", + "accept": false, + "reason": "Missing `joint_attention_kwargs` forwarding into FLUX and loading SDXL LoRAs into Flux are different FLUX-related issues." + }, + { + "left": "issue:10030", + "right": "issue:7636", + "accept": false, + "reason": "Both mention ControlNet, but one is a concrete `added_cond_kwargs` pipeline bug and the other is a usage question about the SDXL tile model." + }, + { + "left": "issue:10121", + "right": "issue:10584", + "accept": false, + "reason": "High-resolution Flux generation failure and missing timestep indices in a scheduler helper 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": 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-50-3013", + "nodes": [ + "issue:1009", + "issue:10194", + "issue:11083", + "issue:11092", + "issue:11136", + "issue:11221", + "issue:11321", + "issue:11569", + "issue:11978", + "issue:12120", + "issue:12369", + "issue:12624", + "issue:1486", + "issue:2579", + "issue:2758", + "issue:2875", + "issue:3209", + "issue:3348", + "issue:3354", + "issue:3441", + "issue:3960", + "issue:4159", + "issue:4424", + "issue:4616", + "issue:4767", + "issue:4875", + "issue:4933", + "issue:5017", + "issue:5103", + "issue:5544", + "issue:5546", + "issue:5621", + "issue:5997", + "issue:6101", + "issue:6552", + "issue:6586", + "issue:6686", + "issue:6964", + "issue:7220", + "issue:8390", + "issue:8451", + "issue:8873", + "issue:9051", + "issue:9297", + "issue:9670", + "issue:9799", + "issue:9907" + ], + "soft_pairs": [ + "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", + "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:5017|issue:8390" + ], + "prepared_review_unit_hash": "d91328b382efea49b415c8d66fffd250f04960b2e6728d60632df50436a541c7", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33314, + "estimated_input_tokens": 8329, + "estimated_eval_tokens": 16914 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated; the soft pairs only share superficial keywords like ControlNet, LoRA, training, or black images, not the same underlying bug/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:5997", + "right": "issue:9907", + "accept": false, + "reason": "Different problems: SDXL ControlNet tutorial/model-type mismatch vs Flux controlnet sequence-length warning." + }, + { + "left": "issue:2579", + "right": "issue:3441", + "accept": false, + "reason": "xFormers misuse/bug report versus PyTorch 2 VRAM regression; different symptoms and code paths." + }, + { + "left": "issue:3441", + "right": "issue:4159", + "accept": false, + "reason": "Both mention memory, but one is PyTorch2 VRAM under specific conditions and the other is DiffEdit needing huge VRAM." + }, + { + "left": "issue:6101", + "right": "issue:6964", + "accept": false, + "reason": "ControlNet inpaint performance regression is not the same as 4-channel UNet compatibility failure." + }, + { + "left": "issue:10194", + "right": "issue:12120", + "accept": false, + "reason": "Flux attention masking feature request is unrelated to LoRA training on distilled Flux models." + }, + { + "left": "issue:11221", + "right": "issue:9799", + "accept": false, + "reason": "AutoencoderKL non-convergence during training is unrelated to a tensor shape mismatch runtime error." + }, + { + "left": "issue:4875", + "right": "issue:9051", + "accept": false, + "reason": "Both involve batch behavior, but one is a scheduler crash on batch-size changes and the other is FluxPipeline lacking batch inference support." + }, + { + "left": "issue:6552", + "right": "issue:6586", + "accept": false, + "reason": "Training resume FP16 tracker and SDXL micro-conditioning tracker are separate training topics." + }, + { + "left": "issue:11321", + "right": "issue:8451", + "accept": false, + "reason": "README bug for Flux ControlNet training is not the same as freezing UNet parameters / missing sd1.x training script." + }, + { + "left": "issue:11569", + "right": "issue:12624", + "accept": false, + "reason": "Repo request for a model checkpoint is unrelated to adding a strength parameter to WanImageToVideoPipeline." + }, + { + "left": "issue:2875", + "right": "issue:3209", + "accept": false, + "reason": "Both mention NaNs, but one is training loss divergence and the other is AutoencoderKL encoder NaNs on large images." + }, + { + "left": "issue:4767", + "right": "issue:5621", + "accept": false, + "reason": "Scheduler sample support and SDXL ControlNet encoder_hid_proj support are different concrete issues." + }, + { + "left": "issue:5546", + "right": "issue:6686", + "accept": false, + "reason": "Wrong step count in base+refiner ensemble is unrelated to lack of compile performance improvement after save/load." + }, + { + "left": "issue:9297", + "right": "issue:9670", + "accept": false, + "reason": "Linear LoRA load time regression is not the same as PEFT-backend-required load failure." + }, + { + "left": "issue:11092", + "right": "issue:11136", + "accept": false, + "reason": "Both concern timesteps, but they affect different pipelines/models and have different failure modes." + }, + { + "left": "issue:1009", + "right": "issue:1486", + "accept": false, + "reason": "Textual inversion weight decay bug is unrelated to DDIMScheduler prediction_type='sample' behavior." + }, + { + "left": "issue:3348", + "right": "issue:3960", + "accept": false, + "reason": "LoRA xformers scale support and HeaderTooLarge are entirely different kinds of bugs." + }, + { + "left": "issue:4933", + "right": "issue:7220", + "accept": false, + "reason": "Dreambooth output file problem is unrelated to unload_ip_adapter() failing in ControlNet inpaint." + }, + { + "left": "issue:11083", + "right": "issue:8873", + "accept": false, + "reason": "DDP stride mismatch warning is a different issue from xformers being slower than no xformers." + }, + { + "left": "issue:11978", + "right": "issue:12369", + "accept": false, + "reason": "These are separate model/pipeline feature requests for different systems." + }, + { + "left": "issue:2758", + "right": "issue:5103", + "accept": false, + "reason": "Both show black images, but one is ROCm torch.compile-related and the other is zero-SNR DDIM-related." + }, + { + "left": "issue:3354", + "right": "issue:4424", + "accept": false, + "reason": "Training-script fp16 casting bug and SDXL VAE upcast bug are different dtype-handling problems in different scripts." + }, + { + "left": "issue:4616", + "right": "issue:5544", + "accept": false, + "reason": "LoRA safetensor conversion failure is unrelated to disabling FreeU raising an error." + }, + { + "left": "issue:5017", + "right": "issue:8390", + "accept": false, + "reason": "Control mode request for ControlNet and Stable Cascade controlnet training 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": "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-50-3013", + "nodes": [ + "issue:10039", + "issue:1009", + "issue:10112", + "issue:10266", + "issue:10337", + "issue:10472", + "issue:11169", + "issue:11497", + "issue:12358", + "issue:1262", + "issue:1314", + "issue:13176", + "issue:13301", + "issue:1537", + "issue:1540", + "issue:1896", + "issue:1918", + "issue:2306", + "issue:2579", + "issue:3282", + "issue:3405", + "issue:3643", + "issue:3660", + "issue:4593", + "issue:4916", + "issue:4923", + "issue:5016", + "issue:5271", + "issue:5474", + "issue:5515", + "issue:5593", + "issue:5678", + "issue:5710", + "issue:579", + "issue:5897", + "issue:6366", + "issue:6412", + "issue:6700", + "issue:6742", + "issue:7859", + "issue:8488", + "issue:8644", + "issue:8803", + "issue:9007", + "issue:9186", + "issue:9216", + "issue:941", + "issue:964" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "98bb2d28689a032e68831b116f3424e3137281871eb1381c5e06b44433bb3dcf", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34396, + "estimated_input_tokens": 8599, + "estimated_eval_tokens": 17454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items only share broad vocabulary like schedulers, pipelines, attention, or xFormers, but they describe different bugs or feature requests. I would reject all soft edges; none look like the same underlying change or defect.", + "confidence": 0.24, + "canonical_issue_reason": "issue:10039 is the most concrete, narrowly scoped bug report with an explicit file/function target (`AttnUpBlock2D` in `unet_2d_blocks.py`) and a clear missing-argument failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10039 is the best representative issue because it is precise, actionable, and clearly tied to a single code-path fix; the rest are broader, vaguer, or clearly different problems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5474", + "right": "issue:9216", + "accept": false, + "reason": "Both are pipeline-related ideas, but one is a specific reference-only pipeline request and the other is a generic multi-model pipeline concept; different changes." + }, + { + "left": "issue:5593", + "right": "issue:6700", + "accept": false, + "reason": "Both mention pipeline/attention internals, but one is about `AutoPipeline.from_pipe` with ControlNet and the other is a `temb` argument TypeError in attention processors; unrelated bugs." + }, + { + "left": "issue:5710", + "right": "issue:9007", + "accept": false, + "reason": "Same scheduler family, but one is missing `sigmas` on init and the other is black output at order 3; different failure modes and likely different code paths." + }, + { + "left": "issue:2306", + "right": "issue:3643", + "accept": false, + "reason": "Both involve runtime size limits, but one is an `INT_MAX` error and the other is an NHWC upsample tensor-size limit while decoding latents; not the same defect." + }, + { + "left": "issue:10472", + "right": "issue:11497", + "accept": false, + "reason": "One is a LoRA `lora_bias` constructor argument error, the other is dataset cache invalidation from unrelated args; clearly different areas." + }, + { + "left": "issue:11169", + "right": "issue:13176", + "accept": false, + "reason": "Binary incompatibility on import versus an attention error in UNet2DConditionModel; unrelated issues." + }, + { + "left": "issue:12358", + "right": "issue:13301", + "accept": false, + "reason": "Both are pipeline feature requests, but they target different pipelines and different additions; not the same change." + }, + { + "left": "issue:8488", + "right": "issue:8644", + "accept": false, + "reason": "Both relate to Stable Diffusion 3 loading, but one is a `from_pretrained` exception and the other is a separate T5/meta-tensor offload bug; different code paths." + }, + { + "left": "issue:5515", + "right": "issue:6742", + "accept": false, + "reason": "One is an LCM scheduler initialization failure; the other is a motion block checkpointing discrepancy. Same broad domain, different bugs." + }, + { + "left": "issue:1314", + "right": "issue:4916", + "accept": false, + "reason": "Both are training-time failures, but one is xformers backward on Windows and the other is gradient checkpointing + ZeRO3; not the same underlying issue." + }, + { + "left": "issue:1537", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related, but they affect different schedulers and different symptoms (`KDPM2` scheduler issues vs noisy `num_images_per_prompt` output)." + }, + { + "left": "issue:1540", + "right": "issue:579", + "accept": false, + "reason": "Dreambooth/transformers missing `MODEL_TYPE` is unrelated to Textual Inversion missing `config.json`; different subsystems and failures." + }, + { + "left": "issue:1918", + "right": "issue:964", + "accept": false, + "reason": "Both are example failures, but one is a DDIM scheduler issue for a specific dataset example and the other is inpainting example failure; insufficient evidence of sameness." + }, + { + "left": "issue:6412", + "right": "issue:9186", + "accept": false, + "reason": "One is a request to port ControlNet annotators to ONNX; the other is about differential diffusion with ControlNet. Feature request vs pipeline behavior bug." + }, + { + "left": "issue:5016", + "right": "issue:6366", + "accept": false, + "reason": "Both are Dreambooth/LoRA training scripts, but one is about text encoder training and the other about checkpoint reload correctness; different concrete bugs." + }, + { + "left": "issue:4923", + "right": "issue:5271", + "accept": false, + "reason": "AudioLDM 2 transcript support is a feature request; different learning rates for text encoders and UNet is a training configuration feature. Not the same issue." + }, + { + "left": "issue:1262", + "right": "issue:1896", + "accept": false, + "reason": "Rectangle-image training and CLIP-guided SD size/dict TypeError are unrelated." + }, + { + "left": "issue:2579", + "right": "issue:3660", + "accept": false, + "reason": "Both mention xFormers/compile, but one is a likely xFormers bug or misuse and the other is torch.compile incompatibility with LoRA or xFormers; too different to merge." + }, + { + "left": "issue:4593", + "right": "issue:5678", + "accept": false, + "reason": "LoRA rank-loading failure and higher-order-derivative attention error are distinct problems in different code paths." + }, + { + "left": "issue:3282", + "right": "issue:5897", + "accept": false, + "reason": "One is missing `memory_efficient_attention_forward` operator support; the other is a CPU/GPU device mismatch during LoRA training. Different root causes." + }, + { + "left": "issue:10039", + "right": "issue:8803", + "accept": false, + "reason": "Missing output sample size in `AttnUpBlock2D` and duplicate `hidden_states` assignment in attention processor are different attention bugs in different files." + }, + { + "left": "issue:1009", + "right": "issue:3405", + "accept": false, + "reason": "Weight decay bug in textual inversion and a controlnet training bug are unrelated training issues." + }, + { + "left": "issue:10112", + "right": "issue:7859", + "accept": false, + "reason": "One is a vague discussion about diffusers, the other is a request to add FlashFace implementation; not the same underlying change." + }, + { + "left": "issue:10266", + "right": "issue:10337", + "accept": false, + "reason": "UniPC + FlowMatch index error and FLUX IPAdapter failure with quantized transformers are different 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": 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-50-3013", + "nodes": [ + "issue:10381", + "issue:10591", + "issue:10782", + "issue:10901", + "issue:1101", + "issue:1117", + "issue:11653", + "issue:11790", + "issue:12012", + "issue:12083", + "issue:12610", + "issue:1746", + "issue:1994", + "issue:201", + "issue:2192", + "issue:2392", + "issue:2412", + "issue:2785", + "issue:2907", + "issue:3040", + "issue:3045", + "issue:3706", + "issue:3761", + "issue:4194", + "issue:4468", + "issue:4616", + "issue:5079", + "issue:5135", + "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:8567", + "issue:8579", + "issue:8588", + "issue:8604", + "issue:9178", + "issue:9810" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "4beec597f964f0da3e7060432171baa7b3f02723f320cc8c6b827f95d819fefd", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32992, + "estimated_input_tokens": 8248, + "estimated_eval_tokens": 16752 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed edges are superficial keyword matches; none appear to describe the same underlying bug or change. The items span unrelated areas (LoRA training/loading, prompt handling, scheduler behavior, offload, file loading, dtype conversion), so this is not a clean duplicate cluster.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits well: the set is heterogeneous and the soft pairs do not share a concrete failure mode or code path.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: the cluster is too mixed to have one representative bug report without losing important distinctions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10381", + "right": "issue:8604", + "accept": false, + "reason": "Different problems: Flux/Quanto quantization + LoRA inference error vs T5 text-encoder float16 corruption." + }, + { + "left": "issue:10591", + "right": "issue:11790", + "accept": false, + "reason": "Both are LoRA-related, but one is an SD3 training-script issue and the other is a weight-loading failure from a different script/path." + }, + { + "left": "issue:10591", + "right": "issue:9810", + "accept": false, + "reason": "Training-script bug vs missing LoRA `module_to_save()` support; related ecosystem, but not the same bug." + }, + { + "left": "issue:10782", + "right": "issue:12083", + "accept": false, + "reason": "Both mention model-specific issues, but Lumina Image 2.0 and Qwen-Image long-prompt errors are unrelated failure cases." + }, + { + "left": "issue:10901", + "right": "issue:9178", + "accept": false, + "reason": "Different models and symptoms: HunyuanVideo negative-prompt output bug vs Flux LoRA PEFT target-module error." + }, + { + "left": "issue:1101", + "right": "issue:2785", + "accept": false, + "reason": "Scheduler feature request is unrelated to M1/M2 text-to-video support." + }, + { + "left": "issue:1117", + "right": "issue:201", + "accept": false, + "reason": "Multiple negative prompt tests vs attention class tests; same area of testing, but not the same issue." + }, + { + "left": "issue:1994", + "right": "issue:5079", + "accept": false, + "reason": "S3 path support in `from_pretrained` is unrelated to LyCORIS LoRA loading support." + }, + { + "left": "issue:2192", + "right": "issue:6230", + "accept": false, + "reason": "Missing DreamBooth LoRA CLI args vs SDXL out-of-memory during training; different bugs." + }, + { + "left": "issue:2907", + "right": "issue:3761", + "accept": false, + "reason": "CPU offload called twice vs loading two community pipelines in one process; both are lifecycle issues but different code paths." + }, + { + "left": "issue:3045", + "right": "issue:5989", + "accept": false, + "reason": "LoRA conversion script issue vs generic `safetensors.torch` bug; no concrete overlap shown." + }, + { + "left": "issue:3706", + "right": "issue:7525", + "accept": false, + "reason": "Wuerstchen model announcement vs discrete scheduler typo/feature request; not duplicates." + }, + { + "left": "issue:4194", + "right": "issue:6441", + "accept": false, + "reason": "Single-file VAE loading bug vs Colab `from_pretrained` issue; different environments and failure modes." + }, + { + "left": "issue:4468", + "right": "issue:6686", + "accept": false, + "reason": "Multi-GPU sample-code performance discrepancy vs Dynamo save/load performance regression; related only at a very broad level." + }, + { + "left": "issue:5135", + "right": "issue:6176", + "accept": false, + "reason": "LoRA quality degradation with xformers vs failure loading LoRA weights after training; distinct symptoms and likely causes." + }, + { + "left": "issue:5489", + "right": "issue:7157", + "accept": false, + "reason": "General PEFT integration alert vs LCM-LoRA unexpected keys when loading with peft; not the same concrete bug." + }, + { + "left": "issue:5538", + "right": "issue:8588", + "accept": false, + "reason": "Upscale pipeline latent usage question vs missing SD3 conversion script; unrelated." + }, + { + "left": "issue:5777", + "right": "issue:8567", + "accept": false, + "reason": "PixArt DreamBooth training error vs question about SD3 training objective; different topics entirely." + }, + { + "left": "issue:11653", + "right": "issue:8579", + "accept": false, + "reason": "Both are LoRA support problems, but HiDream `.alpha` key compatibility and SD3 LoRA non-functional are different model-specific issues." + }, + { + "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 execution state, but not the same bug." + }, + { + "left": "issue:1746", + "right": "issue:2412", + "accept": false, + "reason": "Flax Stable Diffusion error vs DreamBooth error; too vague and not tied to the same code path." + }, + { + "left": "issue:4616", + "right": "issue:5441", + "accept": false, + "reason": "SDXL LoRA conversion script failure vs Wuerstchen prior script missing attn processors; both affect LoRA tooling but are different scripts/problems." + }, + { + "left": "issue:6250", + "right": "issue:7574", + "accept": false, + "reason": "SDXL VAE single-file `KeyError` vs checkpoint key `middle_block_out.0.weight`; both are loading-key issues but not the same missing key or loader bug." + }, + { + "left": "issue:2392", + "right": "issue:3040", + "accept": false, + "reason": "Img2Img `prompt_embeds` validation bug vs copy-pasted docs causing list `__module__` AttributeError; 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": 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-50-3013", + "nodes": [ + "issue:10428", + "issue:10460", + "issue:11732", + "issue:11872", + "issue:12338", + "issue:13137", + "issue:13386", + "issue:1339", + "issue:13488", + "issue:2163", + "issue:2370", + "issue:2410", + "issue:2581", + "issue:2610", + "issue:2988", + "issue:3149", + "issue:3194", + "issue:3250", + "issue:3450", + "issue:347", + "issue:3958", + "issue:4101", + "issue:4232", + "issue:4279", + "issue:4376", + "issue:444", + "issue:4480", + "issue:4488", + "issue:4664", + "issue:4753", + "issue:4756", + "issue:4837", + "issue:4904", + "issue:5178", + "issue:5339", + "issue:5365", + "issue:5628", + "issue:5957", + "issue:6457", + "issue:6870", + "issue:7240", + "issue:8296", + "issue:8429", + "issue:8494", + "issue:8509", + "issue:8752", + "issue:9163", + "issue:9613" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "e01bb86a98505ef718767972be5f9e94d93b0b5e54460f96a20267d9add49360", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "No duplicate group emerges from this cluster: the issues are mostly unrelated bugs that only share broad subsystems like offloading, LoRA loading, schedulers, or training scripts. All soft edges should stay separate.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue selected: the items do not share one underlying defect; they span distinct bugs and feature gaps.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue is appropriate for deduplication because there is no single representative bug across this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11872", + "right": "issue:13488", + "accept": false, + "reason": "Both involve offloading, but one is a performance inefficiency and the other is a version regression; different underlying bugs." + }, + { + "left": "issue:2610", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac-related errors, but one is a local build clang issue and the other is an MPS half-precision crash." + }, + { + "left": "issue:2988", + "right": "issue:444", + "accept": false, + "reason": "Both mention scheduler/step edge cases, but they describe different failure conditions and symptoms." + }, + { + "left": "issue:10460", + "right": "issue:8494", + "accept": false, + "reason": "Different missing/unsupported arguments in different APIs; not the same code-path defect." + }, + { + "left": "issue:3250", + "right": "issue:5178", + "accept": false, + "reason": "Both are runtime failures, but one is a pipeline loading error and the other is a scheduler resolution-change bug." + }, + { + "left": "issue:3450", + "right": "issue:347", + "accept": false, + "reason": "One is a from_ckpt runtime issue; the other is a dependency installation/version resolution problem." + }, + { + "left": "issue:5339", + "right": "issue:8752", + "accept": false, + "reason": "Both concern loading local/offline models, but the reported errors and contexts are different." + }, + { + "left": "issue:6457", + "right": "issue:8296", + "accept": false, + "reason": "Both touch training/resume behavior, but one is about multi-GPU gradient accumulation and the other about checkpoint global-step bookkeeping." + }, + { + "left": "issue:10428", + "right": "issue:8429", + "accept": false, + "reason": "Both are inference-script problems, but for different models and different failures." + }, + { + "left": "issue:3958", + "right": "issue:4279", + "accept": false, + "reason": "Both involve CivitAI LoRAs, but one is an offload interaction and the other is an SDXL LoRA loading failure." + }, + { + "left": "issue:3194", + "right": "issue:6870", + "accept": false, + "reason": "Completely unrelated: bitsandbytes package metadata vs missing VAE tiling support." + }, + { + "left": "issue:4753", + "right": "issue:9163", + "accept": false, + "reason": "Both are training-script bugs, but they are different scripts with different tensor errors." + }, + { + "left": "issue:2581", + "right": "issue:4488", + "accept": false, + "reason": "Both concern checkpoint conversion/loading, but they target different model families and different workflows." + }, + { + "left": "issue:4101", + "right": "issue:4837", + "accept": false, + "reason": "Both are conversion failures, but one is ControlNet conversion and the other is SDXL original-checkpoint conversion." + }, + { + "left": "issue:12338", + "right": "issue:13386", + "accept": false, + "reason": "Both are tensor-related bugs, but one is VAE slicing decoding and the other is prior-preservation concatenation in a training script." + }, + { + "left": "issue:2163", + "right": "issue:2410", + "accept": false, + "reason": "Different training pipelines and different failures: dtype mismatch vs missing output artifacts." + }, + { + "left": "issue:4376", + "right": "issue:4664", + "accept": false, + "reason": "Different SDXL loading paths and different feature failures: textual inversion vs LoRA loading." + }, + { + "left": "issue:5365", + "right": "issue:9613", + "accept": false, + "reason": "Both mention timestep-related errors, but the failures and affected code paths are different." + }, + { + "left": "issue:11732", + "right": "issue:13137", + "accept": false, + "reason": "Both involve LoRA loading, but one is a generic unpacking regression and the other is a LoKr-specific Flux 2 error." + }, + { + "left": "issue:1339", + "right": "issue:3149", + "accept": false, + "reason": "Both mention nondeterminism, but the reports are too broad and do not point to the same concrete bug." + }, + { + "left": "issue:2370", + "right": "issue:4756", + "accept": false, + "reason": "Unrelated training questions/features: GPU feasibility vs adding an SDXL training script." + }, + { + "left": "issue:4232", + "right": "issue:8509", + "accept": false, + "reason": "Different requests around controlnet/instruct-pix2pix and a separate controlnet++ issue." + }, + { + "left": "issue:4904", + "right": "issue:5957", + "accept": false, + "reason": "Unrelated feature requests in different components: GLIGEN modularization vs LoRA-compatible convolution padding behavior." + }, + { + "left": "issue:5628", + "right": "issue:7240", + "accept": false, + "reason": "Scheduler offset behavior is unrelated to low-quality output during LDM conversion." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10121", + "issue:10518", + "issue:10526", + "issue:10594", + "issue:10958", + "issue:11083", + "issue:11104", + "issue:11160", + "issue:11222", + "issue:11886", + "issue:13286", + "issue:1434", + "issue:1534", + "issue:1556", + "issue:1643", + "issue:1811", + "issue:2035", + "issue:2459", + "issue:2495", + "issue:2534", + "issue:2800", + "issue:3730", + "issue:4043", + "issue:4149", + "issue:4307", + "issue:460", + "issue:4668", + "issue:4692", + "issue:490", + "issue:4911", + "issue:5009", + "issue:5984", + "issue:6154", + "issue:6297", + "issue:6570", + "issue:6732", + "issue:6880", + "issue:696", + "issue:7066", + "issue:7165", + "issue:7333", + "issue:7616", + "issue:8264", + "issue:8609", + "issue:8880", + "issue:9611", + "issue:9756", + "issue:9858" + ], + "soft_pairs": [ + "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:1434|issue:4692", + "issue:1534|issue:696", + "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" + ], + "prepared_review_unit_hash": "e39619a96f7a55603501ac538162db633932c5086090e05dafdb5020cb54acd9", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33988, + "estimated_input_tokens": 8497, + "estimated_eval_tokens": 17250 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the issues span many unrelated Diffusers bugs/features (Flux, training notebooks, upscaling, ONNX, quantization, batching, etc.). None of the soft pairs look like the same underlying problem.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the items cover distinct pipelines, errors, and feature requests rather than one shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue; the pool is heterogeneous, so there is no representative duplicate target to anchor on.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2035", + "right": "issue:490", + "accept": false, + "reason": "Both are memory/quality complaints around upscaling vs general memory usage, but they describe different pipelines and failure modes." + }, + { + "left": "issue:2534", + "right": "issue:5009", + "accept": false, + "reason": "Scheduler-selection error and a Wuerstchen error are unrelated model/path failures." + }, + { + "left": "issue:4043", + "right": "issue:460", + "accept": false, + "reason": "SDXL pooled-embed requirement is a model-input constraint, not the ONNX CPU/CUDA dependency issue." + }, + { + "left": "issue:4668", + "right": "issue:7616", + "accept": false, + "reason": "Both mention bad images, but one is LoRA training artifacts and the other is low-denoise img2img artifacts; different causes and code paths." + }, + { + "left": "issue:10526", + "right": "issue:10958", + "accept": false, + "reason": "FP8 quantization TypeError and meta-tensor copy failure are distinct initialization/weight-loading problems." + }, + { + "left": "issue:10518", + "right": "issue:11083", + "accept": false, + "reason": "A notebook script bug and a DDP stride-mismatch warning are unrelated." + }, + { + "left": "issue:1434", + "right": "issue:4692", + "accept": false, + "reason": "Upscaling OOM and UNet memory concerns are both memory-related but not the same concrete bug." + }, + { + "left": "issue:1534", + "right": "issue:696", + "accept": false, + "reason": "Dreambooth notebook error and generic Dreambooth OOM are different training issues." + }, + { + "left": "issue:1643", + "right": "issue:2459", + "accept": false, + "reason": "Both involve xformers calls, but they refer to different training scripts and likely different API mismatches." + }, + { + "left": "issue:6732", + "right": "issue:9756", + "accept": false, + "reason": "Documentation for a scheduler parameter and a missing notebook file are unrelated." + }, + { + "left": "issue:11160", + "right": "issue:11222", + "accept": false, + "reason": "WAN I2V inference inconsistency and support for more WAN LoRAs are different feature/problem requests." + }, + { + "left": "issue:6154", + "right": "issue:9858", + "accept": false, + "reason": "SDXL training on M2 and a KeyError on 'train' are unrelated notebook/script failures." + }, + { + "left": "issue:10594", + "right": "issue:11886", + "accept": false, + "reason": "Multiple-control LoRA usage and FluxKontextPipeline issues are different pipeline-specific bugs." + }, + { + "left": "issue:1556", + "right": "issue:2495", + "accept": false, + "reason": "Black images on CUDA and black images on MPS in upscale pipeline are superficially similar but platform-specific and not clearly the same bug." + }, + { + "left": "issue:4911", + "right": "issue:6880", + "accept": false, + "reason": "Custom text encoder loading and Custom Diffusion retrieve.py are different loading/training issues." + }, + { + "left": "issue:7066", + "right": "issue:8609", + "accept": false, + "reason": "Batch img2img usage and custom hd_painter/IP-Adapter incompatibility are unrelated." + }, + { + "left": "issue:10121", + "right": "issue:9611", + "accept": false, + "reason": "High-resolution Flux1-dev generation and Flux batching errors are different Flux problems." + }, + { + "left": "issue:2800", + "right": "issue:7333", + "accept": false, + "reason": "DiffEdit semantic editing and an image-to-video rectification paper/topic are not duplicates." + }, + { + "left": "issue:4149", + "right": "issue:6570", + "accept": false, + "reason": "SemanticStableDiffusion batch dimension mismatch and SDXL InstructPix2Pix tensor-size mismatch are separate shape bugs." + }, + { + "left": "issue:5984", + "right": "issue:6297", + "accept": false, + "reason": "Colab RAM issue in an SDXL LoRA notebook and inability to train on photos are distinct training complaints." + }, + { + "left": "issue:11104", + "right": "issue:13286", + "accept": false, + "reason": "Broken LTX-Video offload methods and torchao quantization support are different subsystems." + }, + { + "left": "issue:8264", + "right": "issue:8880", + "accept": false, + "reason": "Training stalled at 0% and inference slowdown across versions are different performance/stability issues." + }, + { + "left": "issue:1811", + "right": "issue:4307", + "accept": false, + "reason": "Weight file selection behavior and local_files_only loading errors are different from_pretrained problems." + }, + { + "left": "issue:3730", + "right": "issue:7165", + "accept": false, + "reason": "Wrong inpainting blending timestep and JAX dynamic thresholding scale are unrelated algorithmic 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": 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-50-3013", + "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:3089", + "issue:3431", + "issue:3573", + "issue:3593", + "issue:4104", + "issue:4484", + "issue:4668", + "issue:4975", + "issue:5125", + "issue:5126", + "issue:5135", + "issue:5153", + "issue:5225", + "issue:5412", + "issue:5537", + "issue:5703", + "issue:6366", + "issue:7061", + "issue:709", + "issue:7440", + "issue:7575", + "issue:8323", + "issue:8450", + "issue:8503", + "issue:8898", + "issue:8960", + "issue:9101", + "issue:9178", + "issue:9180", + "issue:9225", + "issue:9241", + "issue:938", + "issue:9539", + "issue:9677" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "f28184cd2d96dff11a98fd1613b81ee8d015c28a020308ac51698e9b32dc364a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33846, + "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 mostly unrelated single issues spanning different models, schedulers, and training scripts. The only plausible duplicate pair is the SDXL LoRA checkpoint-resume/load bug (5412 and 6366).", + "confidence": 0.68, + "canonical_issue_reason": "issue:6366 is the clearest representative of the overlapping SDXL DreamBooth LoRA checkpoint-loading/resume failure and covers both affected scripts.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6366 has the broadest, most explicit description of the underlying checkpoint bug and best matches the accepted duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5153", + "right": "issue:938", + "accept": false, + "reason": "Different features and domains: FreeU in diffusion U-Net vs a community human-motion pipeline." + }, + { + "left": "issue:5412", + "right": "issue:6366", + "accept": true, + "reason": "Both report SDXL DreamBooth LoRA checkpoint/resume loading failures in the same training code path." + }, + { + "left": "issue:5537", + "right": "issue:9180", + "accept": false, + "reason": "Notebook/template failure vs a pipeline execution-device attribute error; not the same bug." + }, + { + "left": "issue:5703", + "right": "issue:8323", + "accept": false, + "reason": "Different scheduler problems with no clear shared code path or symptom." + }, + { + "left": "issue:9101", + "right": "issue:9241", + "accept": false, + "reason": "Training-script request vs LoRA conversion script; unrelated changes." + }, + { + "left": "issue:5125", + "right": "issue:7575", + "accept": false, + "reason": "Both are runtime errors, but they affect different components and failure modes (xformers attention vs Transformer2DModel/adanorm)." + }, + { + "left": "issue:3431", + "right": "issue:4484", + "accept": false, + "reason": "Both mention bad results with ControlNet/LoRA, but the models and failure descriptions are too different to be the same bug." + }, + { + "left": "issue:4104", + "right": "issue:8450", + "accept": false, + "reason": "Generic black/noisy output vs a specific SDXL inpaint strength=1.0 issue; not enough evidence of one underlying defect." + }, + { + "left": "issue:3573", + "right": "issue:3593", + "accept": false, + "reason": "One is a local upscaler class_labels bug; the other is LoRA+xformers second-call failure." + }, + { + "left": "issue:4975", + "right": "issue:5135", + "accept": false, + "reason": "Performance regression in LoRA loading vs quality degradation during inference; different problems." + }, + { + "left": "issue:8503", + "right": "issue:8960", + "accept": false, + "reason": "Gradient checkpointing crash vs nonfunctional gradient accumulation; unrelated training mechanics." + }, + { + "left": "issue:1231", + "right": "issue:1367", + "accept": false, + "reason": "Scheduler implementation issue in Flax vs saving custom scheduler config; different code paths." + }, + { + "left": "issue:12609", + "right": "issue:13311", + "accept": false, + "reason": "WAN NaNs in latents vs Flux2 LoRA key-prefix mismatch; different model families and symptoms." + }, + { + "left": "issue:5126", + "right": "issue:5225", + "accept": false, + "reason": "Conv2d forward signature error vs SDXL memory/VRAM limit issue; unrelated." + }, + { + "left": "issue:10540", + "right": "issue:8898", + "accept": false, + "reason": "Flux single-file loading regression vs from_pretrained subfolder path validation; not the same bug." + }, + { + "left": "issue:11041", + "right": "issue:9539", + "accept": false, + "reason": "WAN group-offloading error vs CogVideoX float8 index_select CUDA limitation; different failures." + }, + { + "left": "issue:9178", + "right": "issue:9677", + "accept": false, + "reason": "LoRA PEFT target-module error vs keeping text encoders in fp32; separate Flux training concerns." + }, + { + "left": "issue:10121", + "right": "issue:9225", + "accept": false, + "reason": "High-resolution Flux1-dev generation issue vs RGBA latent-size mismatch in SDXL InstructPix2Pix; different pipelines." + }, + { + "left": "issue:1037", + "right": "issue:1140", + "accept": false, + "reason": "Community pipeline request vs community hypernetwork topic; not duplicates." + }, + { + "left": "issue:10695", + "right": "issue:7061", + "accept": false, + "reason": "DDIMInverseScheduler timestep bug vs incorrect docstring; unrelated." + }, + { + "left": "issue:10697", + "right": "issue:7440", + "accept": false, + "reason": "Random transform mismatch in training vs dataset availability issue; not the same underlying bug." + }, + { + "left": "issue:1403", + "right": "issue:4668", + "accept": false, + "reason": "Safety checker output mismatch vs Kohya-style LoRA weird images; too different to merge." + }, + { + "left": "issue:1486", + "right": "issue:3089", + "accept": false, + "reason": "Different scheduler bugs (DDIM prediction_type sample vs DDPM bug) with no clear shared fix." + }, + { + "left": "issue:2319", + "right": "issue:709", + "accept": false, + "reason": "Both are docstring/typo-related, but they concern different methods and are not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are grounded in the packet and conservative overall. The only accepted soft pair, issue:5412 with issue:6366, is well supported by their titles describing the same SDXL DreamBooth LoRA checkpoint/resume loading failure. The remaining pair rejections are also appropriately cautious given the mismatch in titles and domains. The summary does not 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": 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-50-3013", + "nodes": [ + "issue:11144", + "issue:1188", + "issue:2276", + "issue:2560", + "issue:2663", + "issue:2716", + "issue:2776", + "issue:2803", + "issue:3073", + "issue:319", + "issue:3347", + "issue:3585", + "issue:3593", + "issue:3672", + "issue:3761", + "issue:3933", + "issue:4310", + "issue:4332", + "issue:4453", + "issue:4593", + "issue:5046", + "issue:5205", + "issue:5226", + "issue:5516", + "issue:579", + "issue:5925", + "issue:5967", + "issue:6112", + "issue:6363", + "issue:6640", + "issue:7168", + "issue:761", + "issue:7708", + "issue:7766", + "issue:785", + "issue:7985", + "issue:801", + "issue:835", + "issue:8744", + "issue:8885", + "issue:9171", + "issue:9178", + "issue:9439", + "issue:9539", + "issue:9610", + "issue:964", + "issue:9717", + "issue:9813" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "c167a4bc79730abadaa4f0e5897c6b38730ffdb25046523e5f8c3bfcc06a2da1", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33697, + "estimated_input_tokens": 8425, + "estimated_eval_tokens": 17106 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it groups many superficially similar diffusion/LoRA/IP-Adapter/turbo/loading topics that are actually different bugs, feature requests, and support questions. No soft edge looks like the same concrete underlying issue.", + "confidence": 0.93, + "canonical_issue_reason": "No strong canonical issue exists here because the items span unrelated problem types and code paths. If forced, issue 5226 is one of the clearest concrete bug reports, but it does not subsume the rest of the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5226 is the most self-contained and actionable bug report among the set, but the cluster is too heterogeneous for it to serve as a true representative canonical issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2663", + "right": "issue:3761", + "accept": false, + "reason": "Both are loading-related, but one is a safety-checker file handling bug and the other is a multi-community-pipeline process issue; different code paths." + }, + { + "left": "issue:2716", + "right": "issue:3585", + "accept": false, + "reason": "A generic checkpoint-loading question is not the same as a specific LoRA synthesis failure." + }, + { + "left": "issue:2776", + "right": "issue:6363", + "accept": false, + "reason": "Both concern training, but one is DeepSpeed/ZeRO setup and the other is FP16 gradient unscaling; unrelated failures." + }, + { + "left": "issue:3933", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is a logging-side graph break while the other is an IP-Adapter incompatibility." + }, + { + "left": "issue:4310", + "right": "issue:4453", + "accept": false, + "reason": "SDXL artifact quality and LoRA conversion advice are unrelated." + }, + { + "left": "issue:5205", + "right": "issue:6640", + "accept": false, + "reason": "Both mention LoRA, but they target different pipelines and different functionality." + }, + { + "left": "issue:5925", + "right": "issue:9610", + "accept": false, + "reason": "Both are LoRA-related feature requests, but they are different requests on different pipelines and not the same bug/change." + }, + { + "left": "issue:761", + "right": "issue:835", + "accept": false, + "reason": "DreamBooth optimizer failure and flax numpy_to_pil output handling are unrelated." + }, + { + "left": "issue:4593", + "right": "issue:8885", + "accept": false, + "reason": "Both involve loading LoRA/custom-diffusion assets, but one is a rank constraint error and the other is a Colab installation/modifier-token problem." + }, + { + "left": "issue:9178", + "right": "issue:9439", + "accept": false, + "reason": "Both are Flux-related, but one is a PEFT target-module training error and the other is inconsistent loading behavior." + }, + { + "left": "issue:9539", + "right": "issue:9717", + "accept": false, + "reason": "One is a Float8 CUDA operator failure in CogVideoX; the other is a Flux docker-image error." + }, + { + "left": "issue:1188", + "right": "issue:319", + "accept": false, + "reason": "Different feature requests for different models; no shared underlying bug." + }, + { + "left": "issue:2276", + "right": "issue:3593", + "accept": false, + "reason": "xformers installation on Colab is not the same as xformers misbehavior during a second LoRA pipeline call." + }, + { + "left": "issue:2560", + "right": "issue:3347", + "accept": false, + "reason": "Different output-correctness issues in different pipelines with no clear shared root cause." + }, + { + "left": "issue:3073", + "right": "issue:5046", + "accept": false, + "reason": "Separate model requests; one asks for consistency models, the other is a DragonDiffusion announcement." + }, + { + "left": "issue:3672", + "right": "issue:785", + "accept": false, + "reason": "Thread-safety failure and scheduler performance cost are unrelated." + }, + { + "left": "issue:5226", + "right": "issue:5516", + "accept": false, + "reason": "Both are LoRA pipeline problems, but the pipelines and failure modes differ; not enough evidence of the same code-path bug." + }, + { + "left": "issue:7766", + "right": "issue:9813", + "accept": false, + "reason": "A usage question about FaceID Plus is not the same as a batch-processing feature-mixing bug." + }, + { + "left": "issue:11144", + "right": "issue:9171", + "accept": false, + "reason": "Flax dtype initialization and from_single_file v_prediction handling are different issues." + }, + { + "left": "issue:2803", + "right": "issue:579", + "accept": false, + "reason": "Docs build failure on WSL2 and missing config.json for textual inversion are unrelated." + }, + { + "left": "issue:4332", + "right": "issue:7168", + "accept": false, + "reason": "xformers on Kandinsky2.2 and IP-Adapter image-embed shape issues are different bugs." + }, + { + "left": "issue:5967", + "right": "issue:6112", + "accept": false, + "reason": "An announcement and a downstream quality complaint about sdxl-turbo are not duplicate reports." + }, + { + "left": "issue:7708", + "right": "issue:8744", + "accept": false, + "reason": "Missing tokenizer config during model loading is unrelated to single-file training support." + }, + { + "left": "issue:801", + "right": "issue:964", + "accept": false, + "reason": "Both are inpainting-related, but one is about attention slicing behavior and the other is an example not working; insufficient evidence of 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": 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-50-3013", + "nodes": [ + "issue:10209", + "issue:1062", + "issue:10795", + "issue:11083", + "issue:11389", + "issue:11569", + "issue:12047", + "issue:12085", + "issue:12096", + "issue:12120", + "issue:12437", + "issue:13274", + "issue:1614", + "issue:1823", + "issue:1857", + "issue:2179", + "issue:2416", + "issue:2596", + "issue:2761", + "issue:2803", + "issue:2871", + "issue:3097", + "issue:3455", + "issue:3540", + "issue:3565", + "issue:3967", + "issue:4014", + "issue:4171", + "issue:447", + "issue:4496", + "issue:457", + "issue:4578", + "issue:4708", + "issue:4841", + "issue:5138", + "issue:5300", + "issue:5977", + "issue:6535", + "issue:6574", + "issue:6958", + "issue:7009", + "issue:7147", + "issue:761", + "issue:776", + "issue:7889", + "issue:8588", + "issue:9044" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "863f46c1b802f7e1304862ef9e21343e0f2b783294468379ab7cf9b817cf49fd", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33020, + "estimated_input_tokens": 8255, + "estimated_eval_tokens": 16766 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not look like a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and model-specific problems. The suggested soft pairs mostly share only generic terms (e.g. black images, docs, GGUF, training) and do not appear to describe the same underlying change or failure mode.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10795 is the strongest standalone bug report here: it is detailed, open, and tied to a concrete code path (`from_single_file` + GGUF + `torch.compile`).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10795 is the most actionable and specific issue in the set, with enough detail to serve as the best representative if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1062", + "right": "issue:761", + "accept": false, + "reason": "Both are DreamBooth training complaints, but one is about reproducing paper results and the other about 8-bit Adam failure; different bugs." + }, + { + "left": "issue:6535", + "right": "issue:6574", + "accept": false, + "reason": "One is a feature request to change the scheduler; the other is a warning about SVD input range. Different problems." + }, + { + "left": "issue:4014", + "right": "issue:457", + "accept": false, + "reason": "Both mention visual artifacts, but the pipelines, device contexts, and artifact types differ; not the same bug." + }, + { + "left": "issue:12047", + "right": "issue:12085", + "accept": false, + "reason": "Both involve GGUF, but one is LoRA fusion on Wan2.2 and the other is model loading on WanVACE; distinct code paths." + }, + { + "left": "issue:13274", + "right": "issue:9044", + "accept": false, + "reason": "Completely different failures: AMD recursion error vs missing SDXL weight file." + }, + { + "left": "issue:10795", + "right": "issue:12096", + "accept": false, + "reason": "`torch.compile` with GGUF loading and `apply_group_offloading` are separate runtime paths and failure modes." + }, + { + "left": "issue:10209", + "right": "issue:7009", + "accept": false, + "reason": "Different model families and symptoms; one is a fine-tuning error, the other is poor generation quality on a text-to-video pipeline." + }, + { + "left": "issue:11083", + "right": "issue:8588", + "accept": false, + "reason": "DDP stride mismatch warning is unrelated to a missing conversion script." + }, + { + "left": "issue:11389", + "right": "issue:12437", + "accept": false, + "reason": "Scheduler refactor request vs feature support request for a model; no shared bug/change." + }, + { + "left": "issue:11569", + "right": "issue:12120", + "accept": false, + "reason": "Both are model-usage questions, but one asks for a repo and the other asks about LoRA training; not duplicates." + }, + { + "left": "issue:1614", + "right": "issue:2179", + "accept": false, + "reason": "Both mention black outputs, but they are on different frameworks/backends and likely different root causes." + }, + { + "left": "issue:1823", + "right": "issue:2871", + "accept": false, + "reason": "Depth2img comment swap is unrelated to latent output handling in inpainting." + }, + { + "left": "issue:1857", + "right": "issue:776", + "accept": false, + "reason": "Poor testing of UnCLIP is not the same as batch_size>1 image-to-image breakage." + }, + { + "left": "issue:2416", + "right": "issue:4841", + "accept": false, + "reason": "Training slowdown with xformers vs ControlNet image-size issue are unrelated." + }, + { + "left": "issue:2596", + "right": "issue:2761", + "accept": false, + "reason": "Both are documentation issues, but they concern different symbols and topics." + }, + { + "left": "issue:2803", + "right": "issue:7147", + "accept": false, + "reason": "Docs build on WSL2 and import failure for StableCascade are unrelated." + }, + { + "left": "issue:3097", + "right": "issue:3540", + "accept": false, + "reason": "Different pipelines and API surfaces; no evidence of the same defect." + }, + { + "left": "issue:3455", + "right": "issue:5138", + "accept": false, + "reason": "One is a training workflow request, the other is moving a helper function to training utils." + }, + { + "left": "issue:3565", + "right": "issue:7889", + "accept": false, + "reason": "OOM during example training is not the same as `load_single_file_model_checkpoint` bugs." + }, + { + "left": "issue:3967", + "right": "issue:4578", + "accept": false, + "reason": "Branch/dependency breakage vs documentation typo; different issues." + }, + { + "left": "issue:4171", + "right": "issue:5300", + "accept": false, + "reason": "Homepage reference-page rendering vs unwanted internet access; unrelated." + }, + { + "left": "issue:447", + "right": "issue:4496", + "accept": false, + "reason": "Prompt truncation detection and prompt fusion are different prompt-related features, not the same bug." + }, + { + "left": "issue:4708", + "right": "issue:5300", + "accept": false, + "reason": "Import error in `diffusers.utils` is unrelated to network connectivity behavior." + }, + { + "left": "issue:5977", + "right": "issue:6958", + "accept": false, + "reason": "LoRA key-saving behavior and motion model block configuration are unrelated 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": 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-50-3013", + "nodes": [ + "issue:1037", + "issue:10569", + "issue:10901", + "issue:11422", + "issue:1750", + "issue:2272", + "issue:2578", + "issue:2774", + "issue:4176", + "issue:4297", + "issue:4375", + "issue:4888", + "issue:4912", + "issue:5233", + "issue:5447", + "issue:5449", + "issue:5510", + "issue:5619", + "issue:5645", + "issue:5661", + "issue:5824", + "issue:5924", + "issue:6054", + "issue:6196", + "issue:6218", + "issue:6275", + "issue:6323", + "issue:6336", + "issue:6791", + "issue:699", + "issue:7168", + "issue:7378", + "issue:7421", + "issue:7629", + "issue:7848", + "issue:7946", + "issue:7985", + "issue:8518", + "issue:8589", + "issue:8609", + "issue:8879", + "issue:9034", + "issue:9309", + "issue:9336", + "issue:9350", + "issue:9398", + "issue:9495", + "issue:9813" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "03195c772ee8828c098f0a5e05daf81163ee48b210e9b40840d776c9c120a278", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34063, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a single duplicate cluster; the issues span unrelated pipelines, models, training scripts, conversion tools, and runtime errors. All soft-edge pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug or change path.", + "canonical_pr_reason": null, + "best_issue_reason": "No clear best issue for duplicate anchoring because there is no cohesive problem cluster; the reports are mostly unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6196", + "right": "issue:9495", + "accept": false, + "reason": "Different bugs in different IP-Adapter/ControlNet-related paths: ControlNetXS Depth SDXL loading vs SDXL PAG with IPAdapter." + }, + { + "left": "issue:7985", + "right": "issue:9336", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a torch.compile compatibility issue and the other is requires_grad behavior in attention layers." + }, + { + "left": "issue:6336", + "right": "issue:7378", + "accept": false, + "reason": "TensorRT VAE compilation with AutoencoderTiny is unrelated to AnimateDiff video-to-video memory usage." + }, + { + "left": "issue:5619", + "right": "issue:9350", + "accept": false, + "reason": "AutoencodeTiny img2img encoding bug and txt_ids deprecation are different code paths and symptoms." + }, + { + "left": "issue:1750", + "right": "issue:2578", + "accept": false, + "reason": "Debian VM symbol resolution failure is unrelated to editable-install import/setup problems." + }, + { + "left": "issue:5645", + "right": "issue:6275", + "accept": false, + "reason": "LCM core support being broken is not the same as incomplete T2I-Adapter model coverage." + }, + { + "left": "issue:2272", + "right": "issue:6323", + "accept": false, + "reason": "Checkpoint-to-ONNX conversion failure and TensorRT img2img guidance_scale assignment error are distinct problems." + }, + { + "left": "issue:5661", + "right": "issue:9034", + "accept": false, + "reason": "Missing PreTrainedTokenizer symbol and an unexpected sentencepiece requirement are separate dependency/import issues." + }, + { + "left": "issue:9309", + "right": "issue:9398", + "accept": false, + "reason": "Both touch Flux/embedding code, but the reported failures are different: ControlNetPipeline bug vs missing pooled_projection argument." + }, + { + "left": "issue:7168", + "right": "issue:9813", + "accept": false, + "reason": "One is a user question about IP-Adapter image embeds, the other is a specific batch feature-mixing bug in prepare_ip_adapter_image_embeds." + }, + { + "left": "issue:4375", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but they are different crashes in different models and code paths." + }, + { + "left": "issue:2774", + "right": "issue:4888", + "accept": false, + "reason": "ControlNet safetensors conversion failure is unrelated to offline safetensors loading behavior." + }, + { + "left": "issue:4297", + "right": "issue:6218", + "accept": false, + "reason": "Both are batch-related img2img issues, but fishnet artifacts/watermarks are not the same as batched seed handling." + }, + { + "left": "issue:5233", + "right": "issue:5824", + "accept": false, + "reason": "Wrong callback step value and a bad default for text_encoder_projection_dim are unrelated parameter bugs." + }, + { + "left": "issue:5447", + "right": "issue:7848", + "accept": false, + "reason": "Denoising_start with 2nd-order schedulers is a different issue from lpw_stable_diffusion_xl decoding." + }, + { + "left": "issue:7629", + "right": "issue:8609", + "accept": false, + "reason": "SVD OOM on PyTorch 1.13.1 and custom_pipeline/IP_adapter incompatibility are unrelated." + }, + { + "left": "issue:6054", + "right": "issue:8879", + "accept": false, + "reason": "EulerDiscreteScheduler torch.from_numpy misuse and torch.compile+cudagraph failure are different runtime problems." + }, + { + "left": "issue:1037", + "right": "issue:699", + "accept": false, + "reason": "A community pipeline request is not the same as adding negative prompt support." + }, + { + "left": "issue:4176", + "right": "issue:4912", + "accept": false, + "reason": "Mandatory authentication and SDXL checkpoint conversion are unrelated feature/UX requests." + }, + { + "left": "issue:5510", + "right": "issue:5924", + "accept": false, + "reason": "Dtype mismatch in InstructPix2Pix is unrelated to a VAE memory spike." + }, + { + "left": "issue:7421", + "right": "issue:7946", + "accept": false, + "reason": "Seed handling in KDiffusion and custom_pipeline caching are separate issues." + }, + { + "left": "issue:11422", + "right": "issue:8589", + "accept": false, + "reason": "HiDream LoRA validation-prompt crash and SD3 DreamBooth prior-preservation support are different training concerns." + }, + { + "left": "issue:5449", + "right": "issue:6791", + "accept": false, + "reason": "Same example script, but one is a multiprocessing pickling bug while the other is a vague can't-run report; not clearly the same defect." + }, + { + "left": "issue:10569", + "right": "issue:10901", + "accept": false, + "reason": "High CPU memory usage in HunyuanVideo and wrong video output with negative_prompt are unrelated HunyuanVideo 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": 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-50-3013", + "nodes": [ + "issue:10100", + "issue:10512", + "issue:11109", + "issue:11144", + "issue:1814", + "issue:2228", + "issue:2782", + "issue:2783", + "issue:2822", + "issue:2858", + "issue:3418", + "issue:3808", + "issue:4194", + "issue:4222", + "issue:4314", + "issue:4578", + "issue:4675", + "issue:4756", + "issue:4922", + "issue:4969", + "issue:5110", + "issue:5339", + "issue:5628", + "issue:5963", + "issue:6176", + "issue:6354", + "issue:6393", + "issue:6560", + "issue:6593", + "issue:7053", + "issue:7312", + "issue:7519", + "issue:7770", + "issue:7982", + "issue:8451", + "issue:8801", + "issue:8834", + "issue:8871", + "issue:9038", + "issue:9052", + "issue:9332", + "issue:9511", + "issue:9628", + "issue:9648", + "issue:988", + "issue:9930", + "issue:9941", + "issue:9958" + ], + "soft_pairs": [ + "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", + "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:6560|issue:9628", + "issue:10100|issue:8801" + ], + "prepared_review_unit_hash": "5be6558fbd33993a526d918e9928d3a52158038ea2c733b060cdc8e3fcdd033b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "The items are mostly unrelated feature requests and bug reports; none of the soft pairs look like the same underlying issue, so I would not consolidate them into a duplicate cluster.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1814", + "right": "issue:2782", + "accept": false, + "reason": "Different problems: changing CLIP models versus a sequential offloading error in pipeline loading." + }, + { + "left": "issue:2822", + "right": "issue:988", + "accept": false, + "reason": "Training convergence quality issue is not the same as an FSDP training-support request." + }, + { + "left": "issue:2858", + "right": "issue:4222", + "accept": false, + "reason": "Img2img seeding support and low-resolution dataset training advice are unrelated." + }, + { + "left": "issue:3418", + "right": "issue:4756", + "accept": false, + "reason": "Both concern training scripts, but they request different script features for different workflows." + }, + { + "left": "issue:3808", + "right": "issue:7770", + "accept": false, + "reason": "DeepFloyd IF training failure is a different code path from a LoRA tensor shape mismatch during loading." + }, + { + "left": "issue:4194", + "right": "issue:5339", + "accept": false, + "reason": "Both mention loading, but one is a VAE-from-single-file bug and the other is a local safetensor load problem." + }, + { + "left": "issue:4578", + "right": "issue:7519", + "accept": false, + "reason": "Documentation complaint versus an xFormers attention processor behavior issue." + }, + { + "left": "issue:6354", + "right": "issue:9511", + "accept": false, + "reason": "LoRA support for ControlNet and multi-controlnet batching are distinct feature requests." + }, + { + "left": "issue:9052", + "right": "issue:9332", + "accept": false, + "reason": "Both are model-loading bugs, but the failing paths and symptoms differ enough that they do not look like one defect." + }, + { + "left": "issue:8871", + "right": "issue:9930", + "accept": false, + "reason": "FP16 gradient unscale error during LoRA training is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:5110", + "right": "issue:6593", + "accept": false, + "reason": "HF repo-id validation failure is not the same issue as adding load_lora_weights support to an img2img pipeline." + }, + { + "left": "issue:6176", + "right": "issue:9941", + "accept": false, + "reason": "LoRA weight loading after DreamBooth training and a Colab runtime error are different reports." + }, + { + "left": "issue:10512", + "right": "issue:11109", + "accept": false, + "reason": "Quanto Flux LoRA load failure is unrelated to a depth LoRA transformer-layer mismatch." + }, + { + "left": "issue:2783", + "right": "issue:4675", + "accept": false, + "reason": "New pipeline creation request versus SDXL reference-only ControlNet support are different changes." + }, + { + "left": "issue:4922", + "right": "issue:8834", + "accept": false, + "reason": "Android demo request is unrelated to SD3 ControlNet training-code release." + }, + { + "left": "issue:4969", + "right": "issue:8451", + "accept": false, + "reason": "CrossAttention import failure does not match a question about frozen UNet parameters and missing training script details." + }, + { + "left": "issue:7053", + "right": "issue:9038", + "accept": false, + "reason": "Class-conditioning support in UNet3D is a different code path from Flax prompt-weight handling." + }, + { + "left": "issue:7312", + "right": "issue:9958", + "accept": false, + "reason": "Direct reward finetuning support and VAE temporal-decoder tiling are unrelated changes." + }, + { + "left": "issue:2228", + "right": "issue:5628", + "accept": false, + "reason": "Pipeline GPU-loading failure is not the same as LMS scheduler Karras-sigma offset behavior." + }, + { + "left": "issue:5963", + "right": "issue:9648", + "accept": false, + "reason": "Kandinsky embeds-vs-prompts failure and VAE tiling memory overflow are different bugs." + }, + { + "left": "issue:4314", + "right": "issue:6393", + "accept": false, + "reason": "Interrupted download write-protection and private-link from_single_file failure are different download issues." + }, + { + "left": "issue:11144", + "right": "issue:7982", + "accept": false, + "reason": "Incorrect Flax UNet dtypes and from_pipe MultiControlNet handling are unrelated problems." + }, + { + "left": "issue:6560", + "right": "issue:9628", + "accept": false, + "reason": "LoRA shape-size regression and FP16 unscale error are separate training failures." + }, + { + "left": "issue:10100", + "right": "issue:8801", + "accept": false, + "reason": "Support requests for different models (ConsisID vs Kolors) 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": 334, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10194", + "issue:10427", + "issue:1084", + "issue:10954", + "issue:11644", + "issue:11830", + "issue:12308", + "issue:12505", + "issue:12695", + "issue:13105", + "issue:13203", + "issue:1407", + "issue:1546", + "issue:1566", + "issue:1677", + "issue:2560", + "issue:2716", + "issue:2772", + "issue:2785", + "issue:3296", + "issue:3381", + "issue:3428", + "issue:3551", + "issue:3570", + "issue:3740", + "issue:4073", + "issue:4236", + "issue:4349", + "issue:4446", + "issue:4488", + "issue:4615", + "issue:4977", + "issue:5325", + "issue:5399", + "issue:5628", + "issue:5693", + "issue:5710", + "issue:6154", + "issue:6256", + "issue:746", + "issue:7498", + "issue:7548", + "issue:8228", + "issue:8405", + "issue:843", + "issue:8514", + "issue:8832", + "issue:9804" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "f22434898d40be67495ae5a3df641d838fca7e4a486f12c5c77eea5c20e15a74", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "No soft-edge pair looks like the same underlying bug/change; the set is mostly a loose collection of related-but-distinct issues across different models, pipelines, and failure modes. No PRs are present.", + "confidence": 0.83, + "canonical_issue_reason": "issue:12505 is the most concrete, technically specific open bug report in the set, with a narrow failure mode that makes it the cleanest anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12505 is the best representative issue because it describes a focused, reproducible code-path problem rather than a broad feature request or vague compatibility report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10194", + "right": "issue:12695", + "accept": false, + "reason": "Different model support requests: Flux attention masking vs Hunyuan v1.5 support." + }, + { + "left": "issue:10427", + "right": "issue:12308", + "accept": false, + "reason": "Different features in different areas: AuraFlow GGUF loading vs flash-attn GPU kernel support." + }, + { + "left": "issue:1084", + "right": "issue:843", + "accept": false, + "reason": "Both are documentation-related, but one is about weight reuse across pipelines and the other is prompt syntax docs." + }, + { + "left": "issue:12505", + "right": "issue:9804", + "accept": false, + "reason": "Different SDXL loading bugs: tgate error in img2img pipelines vs local ControlNet loading failure." + }, + { + "left": "issue:2785", + "right": "issue:6256", + "accept": false, + "reason": "Both are pipeline feature requests, but they target unrelated capabilities (M1/M2 support vs callback hook)." + }, + { + "left": "issue:3570", + "right": "issue:4615", + "accept": false, + "reason": "Unrelated loading/import failures: checkpoint download suppression vs missing ControlNet pipeline import." + }, + { + "left": "issue:3740", + "right": "issue:4236", + "accept": false, + "reason": "Both mention encoder/attention registration, but one is accelerate device_map conversion and the other is SDXL refiner text-encoder registration." + }, + { + "left": "issue:1566", + "right": "issue:3296", + "accept": false, + "reason": "Different training checkpoint bugs: fp16 output crash after saving vs checkpoint save/load failure with text_encoder." + }, + { + "left": "issue:2772", + "right": "issue:4349", + "accept": false, + "reason": "Different pipeline concerns: dataset path validation in ControlNet training vs missing text_encoder in UpscalePipeline." + }, + { + "left": "issue:3381", + "right": "issue:5399", + "accept": false, + "reason": "Both are inpainting-related, but one is discoloration in batch inference and the other is a dtype mismatch in custom models." + }, + { + "left": "issue:10954", + "right": "issue:13203", + "accept": false, + "reason": "Both are LoRA-loading issues, but they involve different model families and likely different code paths." + }, + { + "left": "issue:11644", + "right": "issue:8514", + "accept": false, + "reason": "Different failure modes: LTXConditionPipeline init error vs EMAModel parallel fine-tuning error." + }, + { + "left": "issue:11830", + "right": "issue:13105", + "accept": false, + "reason": "Both are output-quality problems, but they affect different video models and symptoms (black output vs noise)." + }, + { + "left": "issue:1407", + "right": "issue:1546", + "accept": false, + "reason": "Different regression types: ONNX feature_extractor error vs truncation warning causing batched-input failure." + }, + { + "left": "issue:2716", + "right": "issue:5693", + "accept": false, + "reason": "Generic loading problems, but one is checkpoint loading and the other is VAE loading." + }, + { + "left": "issue:4073", + "right": "issue:8405", + "accept": false, + "reason": "Both are runtime tensor errors, but they arise in different subsystems (safety checker vs multiple ControlNets)." + }, + { + "left": "issue:6154", + "right": "issue:7498", + "accept": false, + "reason": "Both are Apple Silicon training issues, but they are different scripts, models, and hardware generations." + }, + { + "left": "issue:1677", + "right": "issue:5325", + "accept": false, + "reason": "No substantive overlap: pipeline dtype misuse vs packaging type distribution." + }, + { + "left": "issue:2560", + "right": "issue:3551", + "accept": false, + "reason": "Different bugs: generator-list determinism in img2img vs LoRA/xFormers interaction." + }, + { + "left": "issue:4488", + "right": "issue:4977", + "accept": false, + "reason": "Different code paths entirely: SDXL checkpoint conversion/loading vs checkpoint cleanup in an example script." + }, + { + "left": "issue:5628", + "right": "issue:5710", + "accept": false, + "reason": "Both scheduler-related, but one is Karras sigma offset behavior and the other is missing sigmas initialization." + }, + { + "left": "issue:7548", + "right": "issue:8832", + "accept": false, + "reason": "Different output problems: AnimateDiff flicker vs a generic pipeline crash on image indexing." + }, + { + "left": "issue:3428", + "right": "issue:746", + "accept": false, + "reason": "Different img2img issues: unexpected behavior when changing the pipeline vs ONNX revision loading." + }, + { + "left": "issue:4446", + "right": "issue:8228", + "accept": false, + "reason": "Both involve from_single_file text-encoder handling, but one is custom text_encoder support and the other is a CLIPTextModel load regression." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10381", + "issue:10446", + "issue:10893", + "issue:11032", + "issue:11700", + "issue:11828", + "issue:12437", + "issue:1655", + "issue:1896", + "issue:2410", + "issue:2444", + "issue:2659", + "issue:2784", + "issue:3455", + "issue:3679", + "issue:3944", + "issue:3974", + "issue:4232", + "issue:4405", + "issue:4484", + "issue:4649", + "issue:4672", + "issue:4803", + "issue:4972", + "issue:5392", + "issue:5485", + "issue:5510", + "issue:5518", + "issue:5926", + "issue:6050", + "issue:617", + "issue:6335", + "issue:6441", + "issue:6685", + "issue:713", + "issue:7177", + "issue:7456", + "issue:7658", + "issue:8434", + "issue:8450", + "issue:8507", + "issue:8708", + "issue:9067", + "issue:9223", + "issue:9398", + "issue:9476", + "issue:9933", + "issue:9972" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "19249aa485389ea85ee4c6729f2fe72cc4d689fbee74548fe19ab5edcb756534", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34435, + "estimated_input_tokens": 8609, + "estimated_eval_tokens": 17474 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated pipeline bugs, training-script errors, dependency/install issues, and feature requests. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out; the items span unrelated bugs and feature requests across different pipelines, training scripts, and environments.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative because the cluster is not centered on one underlying problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11828", + "right": "issue:9223", + "accept": false, + "reason": "Unrelated: one is a ControlNet pipeline type bug, the other is a Python package dependency conflict." + }, + { + "left": "issue:2659", + "right": "issue:5485", + "accept": false, + "reason": "Different problems: batch-size nondeterminism vs ControlNet batch inference performance." + }, + { + "left": "issue:4484", + "right": "issue:8450", + "accept": false, + "reason": "Both mention odd image output, but they affect different SDXL/inpaint code paths and are not the same bug." + }, + { + "left": "issue:10381", + "right": "issue:10446", + "accept": false, + "reason": "Both are Flux-related, but one is quantization/LoRA inference and the other is multi-GPU sharding with ControlNet." + }, + { + "left": "issue:10893", + "right": "issue:11700", + "accept": false, + "reason": "Different features: CogVideoX ControlNet integration vs Pruna loading integration." + }, + { + "left": "issue:11032", + "right": "issue:12437", + "accept": false, + "reason": "Completely unrelated: TRT quantization backend support vs OmniSVG support." + }, + { + "left": "issue:11828", + "right": "issue:9476", + "accept": false, + "reason": "Different errors in different models/pipelines; no shared concrete code path." + }, + { + "left": "issue:1655", + "right": "issue:617", + "accept": false, + "reason": "One is a pipeline initialization failure, the other is an NNPACK hardware warning in AutoencoderKL." + }, + { + "left": "issue:2410", + "right": "issue:2444", + "accept": false, + "reason": "Separate training-script failures with different causes and scripts." + }, + { + "left": "issue:2784", + "right": "issue:3974", + "accept": false, + "reason": "Feature request for text2video Dreambooth vs ControlNet safetensors loading issue." + }, + { + "left": "issue:3455", + "right": "issue:4405", + "accept": false, + "reason": "Different example/training requests: instruct-pix2pix training behavior vs textual inversion for SDXL." + }, + { + "left": "issue:3679", + "right": "issue:5926", + "accept": false, + "reason": "Unrelated model announcements/requests in different model families." + }, + { + "left": "issue:3944", + "right": "issue:4672", + "accept": false, + "reason": "Both are LoRA training topics, but one is rank customization and the other is VRAM reduction; not the same bug." + }, + { + "left": "issue:4232", + "right": "issue:5392", + "accept": false, + "reason": "Different scope: instruct-pix2pix with ControlNet vs unconditional latent diffusion training." + }, + { + "left": "issue:4649", + "right": "issue:5510", + "accept": false, + "reason": "Similar SDXL family, but different runtime failures and different pipeline code paths." + }, + { + "left": "issue:4803", + "right": "issue:6050", + "accept": false, + "reason": "Both are install-related, but one is a missing requirements file and the other is a pip build/install failure." + }, + { + "left": "issue:5518", + "right": "issue:9067", + "accept": false, + "reason": "No shared bug: a LoRA attribute error vs a missing-module import error." + }, + { + "left": "issue:6335", + "right": "issue:9933", + "accept": false, + "reason": "Both mention size parameters, but they are different pipelines with different missing/ignored arguments." + }, + { + "left": "issue:6441", + "right": "issue:7177", + "accept": false, + "reason": "Different from_pretrained failures in unrelated contexts." + }, + { + "left": "issue:6685", + "right": "issue:8708", + "accept": false, + "reason": "Dreambooth-related, but one is output_dir path handling and the other is a missing SD3 VAE config field." + }, + { + "left": "issue:7456", + "right": "issue:9398", + "accept": false, + "reason": "A missing raise statement is not the same as a missing pooled_projection argument." + }, + { + "left": "issue:7658", + "right": "issue:8434", + "accept": false, + "reason": "Both involve multiple control inputs, but one asks if it is possible and the other is specifically about XSPipeline support." + }, + { + "left": "issue:8507", + "right": "issue:9972", + "accept": false, + "reason": "Completely unrelated: SD3 Dreambooth text encoder failure vs CogX macOS memory allocation bug." + }, + { + "left": "issue:1896", + "right": "issue:4972", + "accept": false, + "reason": "Different example failures with different error signatures and code paths." + }, + { + "left": "issue:2444", + "right": "issue:713", + "accept": false, + "reason": "Too generic to be duplicate; one is a specific inpaint training script failure, the other is a broad training error 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": 336, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10186", + "issue:10350", + "issue:10428", + "issue:11092", + "issue:1158", + "issue:11581", + "issue:11872", + "issue:12436", + "issue:12574", + "issue:12610", + "issue:13140", + "issue:13298", + "issue:1695", + "issue:1807", + "issue:1842", + "issue:1851", + "issue:2507", + "issue:2554", + "issue:2799", + "issue:3175", + "issue:3431", + "issue:3740", + "issue:3887", + "issue:3967", + "issue:4356", + "issue:4598", + "issue:4789", + "issue:488", + "issue:5009", + "issue:5152", + "issue:5372", + "issue:5523", + "issue:557", + "issue:5570", + "issue:5951", + "issue:5977", + "issue:6068", + "issue:6158", + "issue:6196", + "issue:6392", + "issue:6869", + "issue:7210", + "issue:7312", + "issue:782", + "issue:8551", + "issue:8708", + "issue:8994", + "issue:9052" + ], + "soft_pairs": [ + "issue:3431|issue:557", + "issue:1842|issue:5009", + "issue:11872|issue:12574", + "issue:1851|issue:3175", + "issue:5372|issue:7210", + "issue:10428|issue:11092", + "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" + ], + "prepared_review_unit_hash": "4d1b48a0fd8662511e1cf9a5fb139db346232f9ecbbb719c6325ee44b2e6890b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33945, + "estimated_input_tokens": 8487, + "estimated_eval_tokens": 17230 + }, + "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 heterogeneous mix of unrelated Diffusers issues spanning imports, memory/offload, training, checkpoints, and pipeline-specific bugs. None of the soft pairs appear to share the same underlying bug/change.", + "confidence": 0.98, + "canonical_issue_reason": "No clear canonical issue: the items cover different subsystems and failure modes, so there is no single underlying bug to deduplicate around.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because the cluster is too diverse and lacks a dominant shared problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3431", + "right": "issue:557", + "accept": false, + "reason": "Different problems: inpainting+ControlNet quality vs DDIM quality regression; not the same bug." + }, + { + "left": "issue:1842", + "right": "issue:5009", + "accept": false, + "reason": "Both are generic errors, but the contexts differ (`eta` argument vs wuerstchen error) and there is no evidence of the same code path." + }, + { + "left": "issue:11872", + "right": "issue:12574", + "accept": false, + "reason": "Both mention device/offload behavior, but one is CPU offloading inefficiency and the other is a WanVideo/VACE control-argument failure; different bugs." + }, + { + "left": "issue:1851", + "right": "issue:3175", + "accept": false, + "reason": "Both are Dreambooth-related, but one is multi-GPU slowdown and the other is training multi-face support; not duplicates." + }, + { + "left": "issue:5372", + "right": "issue:7210", + "accept": false, + "reason": "Different issues: safety_checker usage in SDXL vs missing `named_parameters` with accelerate dispatch." + }, + { + "left": "issue:10428", + "right": "issue:11092", + "accept": false, + "reason": "Flux inference on Ascend NPU vs empty timesteps in SDXL-Turbo img2img; unrelated pipeline failures." + }, + { + "left": "issue:2799", + "right": "issue:488", + "accept": false, + "reason": "Checkpoint/pipeline mismatch error vs grayscale `numpy_to_pil` failure; different functionality." + }, + { + "left": "issue:1158", + "right": "issue:5523", + "accept": false, + "reason": "Test interference in `test_config.py` vs inconsistent generation results; no shared underlying bug." + }, + { + "left": "issue:4789", + "right": "issue:782", + "accept": false, + "reason": "Model download failure and broken auth-token download are both download-related, but not the same concrete issue." + }, + { + "left": "issue:12610", + "right": "issue:13298", + "accept": false, + "reason": "Both involve device placement, but one is Quanto+group offload mismatch and the other is generator-on-cuda breaking image generation; different root causes." + }, + { + "left": "issue:6068", + "right": "issue:6196", + "accept": false, + "reason": "Different SDXL sampler/V-prediction bug vs ControlNetXS Depth SDXL loading error." + }, + { + "left": "issue:2554", + "right": "issue:3740", + "accept": false, + "reason": "Both involve accelerate/version/device mapping, but one is an accelerator version requirement and the other is legacy attention conversion with `device_map=\"sequential\"`." + }, + { + "left": "issue:5152", + "right": "issue:6869", + "accept": false, + "reason": "W\u00fcrstchen-specific bug vs video export unpacking error; unrelated code paths." + }, + { + "left": "issue:10186", + "right": "issue:11581", + "accept": false, + "reason": "Both are import/loading failures around FLUX, but one is missing `FluxFillPipeline` import and the other is an IP-Adapter dtype constructor error; different bugs." + }, + { + "left": "issue:1807", + "right": "issue:2507", + "accept": false, + "reason": "Both discuss performance, but one is inference slowing over generations and the other is safetensors loading speed; not the same defect." + }, + { + "left": "issue:4598", + "right": "issue:5570", + "accept": false, + "reason": "Informative dependency errors vs missing `compute_snr` symbol in training utils; different problem statements and fixes." + }, + { + "left": "issue:1695", + "right": "issue:5951", + "accept": false, + "reason": "Both are training-related, but one is multi-GPU Dreambooth/deepspeed and the other is Pixart training; not duplicates." + }, + { + "left": "issue:3887", + "right": "issue:3967", + "accept": false, + "reason": "General SD effect differences vs SDXL not working after branch deletion; no shared bug." + }, + { + "left": "issue:5977", + "right": "issue:8708", + "accept": false, + "reason": "LoRA key-saving behavior vs missing `vae.config.shift_factor` in SD3 training examples; unrelated." + }, + { + "left": "issue:6158", + "right": "issue:7312", + "accept": false, + "reason": "Animatediff SDXL feature request vs `named_parameters` missing on pipeline with accelerate; not the same issue." + }, + { + "left": "issue:6392", + "right": "issue:9052", + "accept": false, + "reason": "Custom LoRA loading failure vs `from_single_file` failing on certain checkpoints; different loading paths." + }, + { + "left": "issue:10350", + "right": "issue:8551", + "accept": false, + "reason": "Both touch VAE memory/device handling, but one is VAE decoder memory use in SD2.1 and the other is SDXL inpaint latent device placement with balanced device_map." + }, + { + "left": "issue:4356", + "right": "issue:8994", + "accept": false, + "reason": "Missing dummy module in 0.19.2 vs generation steps stuck at 0; unrelated errors." + }, + { + "left": "issue:12436", + "right": "issue:13140", + "accept": false, + "reason": "Constructor keyword errors, but for different models and causes (`offload_state_dict` in CLIPTextModel vs NoneType in Qwen Edit 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": 337, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10039", + "issue:10282", + "issue:1101", + "issue:11329", + "issue:1140", + "issue:11424", + "issue:11489", + "issue:11833", + "issue:1197", + "issue:2044", + "issue:2596", + "issue:3300", + "issue:341", + "issue:3880", + "issue:3944", + "issue:4183", + "issue:4403", + "issue:4419", + "issue:4835", + "issue:4876", + "issue:5079", + "issue:5109", + "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:7572", + "issue:7651", + "issue:8477", + "issue:8532", + "issue:8707", + "issue:8780", + "issue:8805", + "issue:8826", + "issue:8939", + "issue:8958", + "issue:9090", + "issue:9602", + "issue:9856" + ], + "soft_pairs": [ + "issue:8477|issue:8707", + "issue:9602|issue:9856", + "issue:8826|issue:8958", + "issue:11424|issue:11833", + "issue:10039|issue:8805", + "issue:1101|issue:341", + "issue:1140|issue:1197", + "issue:3880|issue:6087", + "issue:3944|issue:4876", + "issue:4183|issue:6725", + "issue:4419|issue:6732", + "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" + ], + "prepared_review_unit_hash": "b367987fe00b9b2bd5168d53d827756ad64f52b1130d661278365501234442da", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34475, + "estimated_input_tokens": 8619, + "estimated_eval_tokens": 17494 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-similarity links are mostly false positives: they connect broadly related Diffusers/transformer topics, but not the same concrete bug or change. I found no safe duplicate merges among the candidate pairs.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the items span unrelated bugs, feature requests, docs problems, and pipeline-specific regressions, so none safely subsumes the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because the cluster is heterogeneous rather than one underlying defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8477", + "right": "issue:8707", + "accept": false, + "reason": "Both are training errors, but one is a DistributedDataParallel failure and the other is an SDXL/Flux training script error; different code paths." + }, + { + "left": "issue:9602", + "right": "issue:9856", + "accept": false, + "reason": "Adapter-name validation and distributed port conflicts are unrelated failures." + }, + { + "left": "issue:8826", + "right": "issue:8958", + "accept": false, + "reason": "A torch.cat empty-list error is not the same as a missing torch.library.register_fake API." + }, + { + "left": "issue:11424", + "right": "issue:11833", + "accept": false, + "reason": "VAE group_norm decode failure and set_lora_device KeyError are different subsystems." + }, + { + "left": "issue:10039", + "right": "issue:8805", + "accept": false, + "reason": "Missing AttnUpBlock2D sample size and an SDXL conversion-script regression are different bugs." + }, + { + "left": "issue:1101", + "right": "issue:341", + "accept": false, + "reason": "These are separate scheduler feature requests, not the same change." + }, + { + "left": "issue:1140", + "right": "issue:1197", + "accept": false, + "reason": "Two unrelated community pipeline requests." + }, + { + "left": "issue:3880", + "right": "issue:6087", + "accept": false, + "reason": "Inpainting degradation and LoRA config save/load corruption are distinct issues." + }, + { + "left": "issue:3944", + "right": "issue:4876", + "accept": false, + "reason": "Both concern LoRA parameters, but one asks for network rank customization and the other for std initialization; different feature requests." + }, + { + "left": "issue:4183", + "right": "issue:6725", + "accept": false, + "reason": "ControlNet guidance-scale bug and generic LDMPipeline generation request are not the same problem." + }, + { + "left": "issue:4419", + "right": "issue:6732", + "accept": false, + "reason": "Offset-noise inference mismatch is different from a scheduler doc omission." + }, + { + "left": "issue:5079", + "right": "issue:7312", + "accept": false, + "reason": "LoRA loading support and AlignProp reward finetuning are unrelated changes." + }, + { + "left": "issue:5897", + "right": "issue:6812", + "accept": false, + "reason": "Both are LoRA training errors, but one is device placement and the other is dtype mismatch; different fixes." + }, + { + "left": "issue:11489", + "right": "issue:8939", + "accept": false, + "reason": "Flux LoRA training failure and tokenizer loading failure are unrelated." + }, + { + "left": "issue:11329", + "right": "issue:8532", + "accept": false, + "reason": "Both mention memory, but one is a bitsandbytes leak and the other is LoRA-weight loading growth; not the same bug." + }, + { + "left": "issue:2044", + "right": "issue:5335", + "accept": false, + "reason": "DDP dtype attribute access and local deployment blocked by Hugging Face are unrelated." + }, + { + "left": "issue:2596", + "right": "issue:3300", + "accept": false, + "reason": "Docs referencing a missing function is not the same as HF-hosted package breakage." + }, + { + "left": "issue:7264", + "right": "issue:8780", + "accept": false, + "reason": "Custom-model serialization and model/input dtype mismatch are different issues." + }, + { + "left": "issue:5224", + "right": "issue:6709", + "accept": false, + "reason": "A Flax SD 2.1 error and custom diffusion concept-list training bug are separate problems." + }, + { + "left": "issue:4835", + "right": "issue:5109", + "accept": false, + "reason": "MultiControlNet img2img behavior and load_lora_weights exception are different code paths." + }, + { + "left": "issue:5954", + "right": "issue:7142", + "accept": false, + "reason": "Kandinsky22 inference error and SDXL-lightning output discrepancy are not the same bug." + }, + { + "left": "issue:7651", + "right": "issue:9090", + "accept": false, + "reason": "Img2img timestep calculation and repeated PNDM timesteps are scheduler-related but different concrete defects." + }, + { + "left": "issue:4403", + "right": "issue:7572", + "accept": false, + "reason": "Half-precision LayerNorm failure and half/float bias-type mismatch are different runtime errors." + }, + { + "left": "issue:10282", + "right": "issue:6517", + "accept": false, + "reason": "An x_embedder weight shape mismatch is unrelated to an import traceback in SDXL ControlNet img2img." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10121", + "issue:10591", + "issue:10895", + "issue:11302", + "issue:11436", + "issue:11749", + "issue:11938", + "issue:1323", + "issue:13386", + "issue:175", + "issue:181", + "issue:2052", + "issue:2053", + "issue:2276", + "issue:2294", + "issue:2332", + "issue:2676", + "issue:3159", + "issue:3380", + "issue:3441", + "issue:3453", + "issue:3593", + "issue:4292", + "issue:4585", + "issue:4615", + "issue:4709", + "issue:4753", + "issue:4872", + "issue:5124", + "issue:5315", + "issue:5799", + "issue:6162", + "issue:6634", + "issue:6732", + "issue:7009", + "issue:7165", + "issue:7341", + "issue:7365", + "issue:7562", + "issue:7931", + "issue:8451", + "issue:8534", + "issue:8551", + "issue:8975", + "issue:9051", + "issue:9181", + "issue:9822", + "issue:9844" + ], + "soft_pairs": [ + "issue:11302|issue:11436", + "issue:2052|issue:5124", + "issue:8551|issue:9844", + "issue:3593|issue:7562", + "issue:10591|issue:8451", + "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" + ], + "prepared_review_unit_hash": "34958917997c7c6eca3f6eadf4d007b1568ac66422054770062d92c4fac19295", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 is a loose collection of unrelated Diffusers issues with only superficial title overlap. None of the soft pairs look like true duplicates, so all should be rejected. There are no PRs in the cluster; if a representative issue is needed, issue #11436 is the clearest concrete bug report.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical duplicate stands out: the issues span different models, scripts, schedulers, and failure modes, and the soft pairs are not same-bug matches.", + "canonical_pr_reason": null, + "best_issue_reason": "#11436 is the most concrete, self-contained bug report with a specific runtime error and enough context to serve as a representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11302", + "right": "issue:11436", + "accept": false, + "reason": "Different HiDream problems: saving a quantized model vs an inference dtype mismatch. Not the same code path." + }, + { + "left": "issue:2052", + "right": "issue:5124", + "accept": false, + "reason": "Textual inversion checkpoint resume bug vs a generic question about fine-tuning a .safetensor checkpoint. Different issues." + }, + { + "left": "issue:8551", + "right": "issue:9844", + "accept": false, + "reason": "One is a device placement bug in SDXL inpaint VAE offload; the other is NaNs from the SDXL VAE encoder. Different failures." + }, + { + "left": "issue:3593", + "right": "issue:7562", + "accept": false, + "reason": "LoRA+xformers second-call failure is unrelated to multicontrolnet CPU offload on SDXL img2img." + }, + { + "left": "issue:10591", + "right": "issue:8451", + "accept": false, + "reason": "Different training scripts and concerns: SD3 LoRA script bug vs missing/frozen SD1.x training details." + }, + { + "left": "issue:10895", + "right": "issue:7365", + "accept": false, + "reason": "Deprecation handling is unrelated to pooled_prompt_embeds being overwritten in a pipeline input bug." + }, + { + "left": "issue:11938", + "right": "issue:9051", + "accept": false, + "reason": "RMSNorm module registration bug vs Flux batch inference limitation. Not the same underlying change." + }, + { + "left": "issue:175", + "right": "issue:3159", + "accept": false, + "reason": "Seed usage in example training code vs a documentation typo. Different scope and problem." + }, + { + "left": "issue:181", + "right": "issue:3453", + "accept": false, + "reason": "Image-writing failure in train_unconditional.py is unrelated to the BF16 triu/tril error in text-to-image training." + }, + { + "left": "issue:2332", + "right": "issue:2676", + "accept": false, + "reason": "Dreambooth inference error vs a question about scheduler names/support. Not duplicate bug reports." + }, + { + "left": "issue:3380", + "right": "issue:7165", + "accept": false, + "reason": "Hard-coded embedding size bug is unrelated to dynamic thresholding scale in JAX." + }, + { + "left": "issue:4292", + "right": "issue:5799", + "accept": false, + "reason": "M1 inpainting crash and the inpainting strength keyword issue are different behaviors and likely different fixes." + }, + { + "left": "issue:4615", + "right": "issue:9181", + "accept": false, + "reason": "ImportError for ControlNet pipeline vs a visual artifact ('noise dot') in StableDiffusionControlNetPipeline. Different issues." + }, + { + "left": "issue:4709", + "right": "issue:7931", + "accept": false, + "reason": "Unsupported guess mode in SDXL ControlNet is unrelated to IP-Adapter shape mismatch in inpaint." + }, + { + "left": "issue:4753", + "right": "issue:8534", + "accept": false, + "reason": "Dreambooth LoRA bug vs SD3 dreambooth logit-normal weighting bug. Different scripts and code paths." + }, + { + "left": "issue:5315", + "right": "issue:6634", + "accept": false, + "reason": "Both touch DDIMInverseScheduler, but one is a step-function bug and the other is a clipping-option question; not the same concrete defect." + }, + { + "left": "issue:6732", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler documentation for trained_betas is unrelated to the TorchVersion/Version comparison TypeError." + }, + { + "left": "issue:7009", + "right": "issue:9822", + "accept": false, + "reason": "Poor results in a text-to-video pipeline are unrelated to loading SDXL LoRAs into Flux." + }, + { + "left": "issue:10121", + "right": "issue:6162", + "accept": false, + "reason": "Flux high-resolution generation issue is unrelated to SDXL IP-Adapter shape mismatch." + }, + { + "left": "issue:4585", + "right": "issue:8975", + "accept": false, + "reason": "SDXL MultiControlNet documentation/runtime mismatch is unrelated to the LoraLoaderMixin import error." + }, + { + "left": "issue:2276", + "right": "issue:4872", + "accept": false, + "reason": "xformers installation failure in a notebook and CUDA OOM during SDXL finetuning are different problems." + }, + { + "left": "issue:11749", + "right": "issue:13386", + "accept": false, + "reason": "Scheduler timestep floating-point errors are unrelated to qwen_image prior-preservation tensor concatenation crashes." + }, + { + "left": "issue:1323", + "right": "issue:2294", + "accept": false, + "reason": "Flax dtype-loading bug vs missing StableDiffusionVideoInpaintPipeline import. Different modules and failure modes." + }, + { + "left": "issue:2053", + "right": "issue:3441", + "accept": false, + "reason": "Both mention VRAM, but one is a broad regression and the other is a PyTorch2/xformers-specific memory increase. 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": 339, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10054", + "issue:10085", + "issue:10150", + "issue:10722", + "issue:1080", + "issue:11497", + "issue:11581", + "issue:11659", + "issue:1734", + "issue:1988", + "issue:2618", + "issue:2659", + "issue:3029", + "issue:3103", + "issue:3717", + "issue:4139", + "issue:4815", + "issue:4841", + "issue:4849", + "issue:5334", + "issue:5395", + "issue:5436", + "issue:5557", + "issue:5605", + "issue:5737", + "issue:5860", + "issue:6091", + "issue:6109", + "issue:617", + "issue:6232", + "issue:6335", + "issue:6392", + "issue:6399", + "issue:6482", + "issue:6527", + "issue:6732", + "issue:6921", + "issue:8323", + "issue:8503", + "issue:8556", + "issue:8579", + "issue:8615", + "issue:8708", + "issue:8850", + "issue:8989", + "issue:9467", + "issue:9664", + "issue:9680" + ], + "soft_pairs": [ + "issue:5860|issue:8850", + "issue:11497|issue:8503", + "issue:3029|issue:5436", + "issue:3717|issue:4849", + "issue:6921|issue:9680", + "issue:8556|issue:8579", + "issue:3103|issue:4815", + "issue:4139|issue:6392", + "issue:1988|issue:617", + "issue:6109|issue:6335", + "issue:1080|issue:5334", + "issue:2618|issue:4841", + "issue:5557|issue:6482", + "issue:5605|issue:8615", + "issue:5737|issue:9664", + "issue:6399|issue:6732", + "issue:8708|issue:9467", + "issue:10722|issue:1734", + "issue:5395|issue:8989", + "issue:10054|issue:6527", + "issue:10085|issue:10150", + "issue:2659|issue:6091", + "issue:6232|issue:8323", + "issue:11581|issue:11659" + ], + "prepared_review_unit_hash": "561165ff28bfba7273771834ed06ba4f6314489c0dae0daac9a4aba3762cfffb", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33799, + "estimated_input_tokens": 8450, + "estimated_eval_tokens": 17156 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issue reports; none of the soft pairs look like true duplicates or the same underlying bug/change. I would anchor the cluster on the most concrete, well-scoped report: the SD3 preprocessing-cache bug.", + "confidence": 0.87, + "canonical_issue_reason": "issue:11497 is the most concrete and actionable report in the set, with a specific subsystem (dataset preprocessing cache) and a clear failure mode tied to unrelated arguments.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11497 has the clearest bug description and strongest triage value as a representative issue for this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5860", + "right": "issue:8850", + "accept": false, + "reason": "Different problems: Tiny Autoencoder/ControlNet pipeline failure vs community pipeline mirror being broken. Same broad area, not the same bug." + }, + { + "left": "issue:11497", + "right": "issue:8503", + "accept": false, + "reason": "One is cache invalidation in SD3 ControlNet scripts; the other is a gradient checkpointing crash in SD3 training. Distinct code paths and symptoms." + }, + { + "left": "issue:3029", + "right": "issue:5436", + "accept": false, + "reason": "Both concern ControlNet examples, but one is about custom resolution input handling and the other is an SDXL training example error. Not the same underlying defect." + }, + { + "left": "issue:3717", + "right": "issue:4849", + "accept": false, + "reason": "Multi-GPU OOM is unrelated to textual inversion multi-GPU usage; same topic of GPUs, different issue class and failure mode." + }, + { + "left": "issue:6921", + "right": "issue:9680", + "accept": false, + "reason": "SDXL shipped weights deviating from official weights is a model artifact issue, while unconditional generation being broken is a runtime pipeline bug." + }, + { + "left": "issue:8556", + "right": "issue:8579", + "accept": false, + "reason": "from_single_file meta-tensor loading failure is a model-loading issue; SD3 LoRA support non-functional is a LoRA integration issue. Different code paths." + }, + { + "left": "issue:3103", + "right": "issue:4815", + "accept": false, + "reason": "Inpainting output dimension handling is not the same as allowing latents-only inputs. Related pipeline area, but distinct feature/bug." + }, + { + "left": "issue:4139", + "right": "issue:6392", + "accept": false, + "reason": "Custom diffusion attention precision casting vs load_lora_weights failing on a custom LoRA are separate LoRA-related problems, not the same bug." + }, + { + "left": "issue:1988", + "right": "issue:617", + "accept": false, + "reason": "fp16/bf16 image generation type mismatch is unrelated to NNPACK hardware initialization warnings." + }, + { + "left": "issue:6109", + "right": "issue:6335", + "accept": false, + "reason": "ControlNet-xs with depth control and ControlNet img2img output sizing are different pipeline behaviors and failure modes." + }, + { + "left": "issue:1080", + "right": "issue:5334", + "accept": false, + "reason": "A usage question about running DreamBooth from Python is not the same as an Accelerate API requirement for multiple models during training." + }, + { + "left": "issue:2618", + "right": "issue:4841", + "accept": false, + "reason": "ControlNet image input type handling vs image size issue are distinct problems." + }, + { + "left": "issue:5557", + "right": "issue:6482", + "accept": false, + "reason": "Unexpected keyword use_reentrant in checkpointing is not the same as FP16 gradient unscale failure during resume." + }, + { + "left": "issue:5605", + "right": "issue:8615", + "accept": false, + "reason": "Per-image caption support for SDXL DreamBooth is a training-data feature request; fuse_lora on SD3 is a model/adapter capability request." + }, + { + "left": "issue:5737", + "right": "issue:9664", + "accept": false, + "reason": "SDXL conversion script failure and DreamBooth subprocess failure are different scripts and different failure causes." + }, + { + "left": "issue:6399", + "right": "issue:6732", + "accept": false, + "reason": "LoRA visibility in UIs is an integration/packaging symptom; documented trained_betas is a scheduler API docs issue." + }, + { + "left": "issue:8708", + "right": "issue:9467", + "accept": false, + "reason": "Missing VAE shift_factor in SD3 DreamBooth examples is unrelated to CogVideoX num_frames guard rails." + }, + { + "left": "issue:10722", + "right": "issue:1734", + "accept": false, + "reason": "Prior-preservation tensor shape mismatch during DreamBooth training is not the same as multi-GPU training being slower." + }, + { + "left": "issue:5395", + "right": "issue:8989", + "accept": false, + "reason": "Combining LoRAs from civitai is unrelated to sequential offloading behavior in Stable Audio." + }, + { + "left": "issue:10054", + "right": "issue:6527", + "accept": false, + "reason": "Wrong torch.linspace parameters in EulerDiscreteScheduler testing is different from an add_noise bug in the same scheduler family." + }, + { + "left": "issue:10085", + "right": "issue:10150", + "accept": false, + "reason": "LyCORIS/skip_guidance_layers runtime error is unrelated to SDXL pipeline load/inference slowness." + }, + { + "left": "issue:2659", + "right": "issue:6091", + "accept": false, + "reason": "Batch-size-dependent image variation is a reproducibility issue; consistency decoder memory with size argument is a memory/performance issue." + }, + { + "left": "issue:6232", + "right": "issue:8323", + "accept": false, + "reason": "DPMSolverSinglestepScheduler add_noise bug and generic scheduler-file recognition issue are not the same defect." + }, + { + "left": "issue:11581", + "right": "issue:11659", + "accept": false, + "reason": "IP Adapter loading fails due to an unexpected dtype argument on CLIPVisionModelWithProjection; the LoRA load issue is 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": 340, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10120", + "issue:10121", + "issue:10302", + "issue:10315", + "issue:10798", + "issue:11163", + "issue:11540", + "issue:11657", + "issue:11659", + "issue:2838", + "issue:2851", + "issue:3026", + "issue:3097", + "issue:3194", + "issue:3576", + "issue:3631", + "issue:3951", + "issue:3975", + "issue:4484", + "issue:4618", + "issue:5270", + "issue:5592", + "issue:5884", + "issue:5984", + "issue:6091", + "issue:6230", + "issue:6598", + "issue:6610", + "issue:6921", + "issue:7210", + "issue:7322", + "issue:7355", + "issue:8450", + "issue:8707", + "issue:8710", + "issue:8759", + "issue:898", + "issue:9106", + "issue:9163", + "issue:9200", + "issue:9224", + "issue:9292", + "issue:9361", + "issue:939", + "issue:9464", + "issue:9664", + "issue:9944" + ], + "soft_pairs": [ + "issue:10120|issue:6230", + "issue:11163|issue:9106", + "issue:11657|issue:11659", + "issue:5270|issue:6091", + "issue:10315|issue:8707", + "issue:2851|issue:3026", + "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" + ], + "prepared_review_unit_hash": "d2ca034298c77efcd7b2f6548660febb4f387c15821a711d6713abe98e92942e", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33553, + "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 a grab bag of unrelated diffusers issues across Flux, SDXL, Wan, UniDiffuser, training scripts, and utility/errors. None of the soft pairs look like the same underlying bug, so all should stay separate.", + "confidence": 0.9, + "canonical_issue_reason": "No single canonical issue: the items span multiple distinct pipelines, models, and failure modes rather than one shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10302 is the most concrete active bug report here: it names one reproducible Flux inference noise problem with a specific trigger (FP8 without CPU offloading).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10120", + "right": "issue:6230", + "accept": false, + "reason": "Both mention memory/OOM, but they are different training scenarios and models (DreamBooth SD3 vs SDXL text-to-image)." + }, + { + "left": "issue:11163", + "right": "issue:9106", + "accept": false, + "reason": "Different code paths and failures: Wan latent prep math vs PixArt time_step attribute error." + }, + { + "left": "issue:11657", + "right": "issue:11659", + "accept": false, + "reason": "Both are LoRA-related, but one is a Wan key-prefix mismatch warning and the other is a vague general load issue; not clearly the same bug." + }, + { + "left": "issue:5270", + "right": "issue:6091", + "accept": false, + "reason": "A notebook memory leak is not the same as a Consistency Decoder size-argument memory issue." + }, + { + "left": "issue:10315", + "right": "issue:8707", + "accept": false, + "reason": "Different training failures in different pipelines (CogVideo vs SDXL text-to-image)." + }, + { + "left": "issue:2851", + "right": "issue:3026", + "accept": false, + "reason": "Unrelated problems: TPU push_to_hub failure vs single-GPU instruct_pix2pix launch error." + }, + { + "left": "issue:4484", + "right": "issue:6598", + "accept": false, + "reason": "Both report bad outputs, but one is SDXL Kohya LoRA weirdness and the other is img2img parity with A1111; not the same concrete bug." + }, + { + "left": "issue:10302", + "right": "issue:11540", + "accept": false, + "reason": "Both involve Flux noise, but the triggers differ (FP8 without offloading vs VAE slicing); likely separate code paths." + }, + { + "left": "issue:3194", + "right": "issue:7210", + "accept": false, + "reason": "bitsandbytes installation metadata error is unrelated to the missing named_parameters attribute on SDXL pipelines." + }, + { + "left": "issue:8759", + "right": "issue:9944", + "accept": false, + "reason": "Different SD3/SD3.5 issues: invalid cast warning vs loading size mismatch." + }, + { + "left": "issue:10121", + "right": "issue:7355", + "accept": false, + "reason": "High-resolution Flux1-Dev generation failure is not the same as Stable Cascade arbitrary-resolution/bfloat16 errors." + }, + { + "left": "issue:2838", + "right": "issue:939", + "accept": false, + "reason": "ControlNet pipeline behavior is unrelated to using multiple community pipes in a list." + }, + { + "left": "issue:3097", + "right": "issue:3576", + "accept": false, + "reason": "Textual inversion no-op vs XFormers TypeError are different failures, even if they touch the same feature area." + }, + { + "left": "issue:3631", + "right": "issue:898", + "accept": false, + "reason": "Inpainting with latents and a TPU bfloat16 scalar-type exception are separate problems." + }, + { + "left": "issue:3951", + "right": "issue:5592", + "accept": false, + "reason": "NaNs in UniDiffuser demo output is not the same as failing to load UniDiffuser checkpoints." + }, + { + "left": "issue:3975", + "right": "issue:4618", + "accept": false, + "reason": "A typo in an error message is unrelated to using a DreamShaper XL model with ControlNet." + }, + { + "left": "issue:5884", + "right": "issue:8710", + "accept": false, + "reason": "Feature requests for IP-Adapter and PAG support are distinct changes, not duplicates." + }, + { + "left": "issue:5984", + "right": "issue:9664", + "accept": false, + "reason": "Both involve train_dreambooth_lora_sdxl.py, but one is a RAM issue and the other is a generic subprocess failure." + }, + { + "left": "issue:6610", + "right": "issue:8450", + "accept": false, + "reason": "Both are inpainting-related, but one is about num_in_channels being ignored and the other is about strength=1.0 noise." + }, + { + "left": "issue:9163", + "right": "issue:9464", + "accept": false, + "reason": "Both are train_dreambooth_lora_flux.py issues, but one is a generic tensor bug and the other is a specific IndexError with prodigy/train_text_encoder." + }, + { + "left": "issue:9292", + "right": "issue:9361", + "accept": false, + "reason": "LoRA key compatibility warnings and LoRA having no effect are related in theme, but not the same concrete failure." + }, + { + "left": "issue:5984", + "right": "issue:7322", + "accept": false, + "reason": "Different training failures: fp16 Colab RAM issue vs SIGKILL during a newer diffusers training run." + }, + { + "left": "issue:6921", + "right": "issue:9200", + "accept": false, + "reason": "SDXL weight mismatch and a StableDiffusionXLControlNetPipeline dtype error are unrelated issues." + }, + { + "left": "issue:10798", + "right": "issue:9224", + "accept": false, + "reason": "Flux quantization with bitsandbytes is a different problem from MPS not supporting hardcoded float64." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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-50-3013", + "nodes": [ + "issue:10710", + "issue:1084", + "issue:1106", + "issue:11092", + "issue:11374", + "issue:11447", + "issue:11448", + "issue:11790", + "issue:12373", + "issue:12606", + "issue:13377", + "issue:1730", + "issue:2299", + "issue:2414", + "issue:2442", + "issue:251", + "issue:2552", + "issue:2716", + "issue:307", + "issue:4031", + "issue:4043", + "issue:4186", + "issue:4399", + "issue:4476", + "issue:4641", + "issue:4697", + "issue:4874", + "issue:4977", + "issue:5081", + "issue:5135", + "issue:5412", + "issue:5553", + "issue:5763", + "issue:6008", + "issue:6176", + "issue:6636", + "issue:6686", + "issue:6783", + "issue:776", + "issue:7939", + "issue:8373", + "issue:8667", + "issue:8956", + "issue:9112", + "issue:9460", + "issue:9637", + "issue:9844" + ], + "soft_pairs": [ + "issue:2299|issue:4977", + "issue:1106|issue:2552", + "issue:11790|issue:12606", + "issue:251|issue:776", + "issue:4186|issue:6783", + "issue:4399|issue:5763", + "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:13377|issue:9637", + "issue:11092|issue:9112", + "issue:2716|issue:6176", + "issue:4031|issue:5553", + "issue:4043|issue:5081", + "issue:8667|issue:9460" + ], + "prepared_review_unit_hash": "c8bbf0a036152ee2135a3a69308bac7f1a7173efbe931e02333f36f585422c41", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33349, + "estimated_input_tokens": 8338, + "estimated_eval_tokens": 16932 + }, + "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 and feature requests; none of the suggested soft pairs look like true duplicates or the same change.", + "confidence": 0.18, + "canonical_issue_reason": "If forced to pick a representative issue, #5553 is the broadest user-facing model-loading failure and best matches the loose theme of the set. There is no convincing duplicate cluster here, though.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #5553 is the most general and central to the common \u201cloading model/config fails\u201d pattern among these items, so it is the safest representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2299", + "right": "issue:4977", + "accept": false, + "reason": "Both mention checkpoints/weights, but one is about documentation for reusing weights and the other is about removing checkpoints in an example script; not the same bug/change." + }, + { + "left": "issue:1106", + "right": "issue:2552", + "accept": false, + "reason": "PNDM repeated UNet calls is a scheduler/runtime bug; the inpaint tutorial issue is documentation-related. No shared underlying defect." + }, + { + "left": "issue:11790", + "right": "issue:12606", + "accept": false, + "reason": "LoRA loading after training and wrong import in a conversion script are different failure modes in different code paths." + }, + { + "left": "issue:251", + "right": "issue:776", + "accept": false, + "reason": "Both concern image pipelines, but one is about latent fragility/solid-color outputs and the other is a batch_size>1 img2img bug; not the same issue." + }, + { + "left": "issue:4186", + "right": "issue:6783", + "accept": false, + "reason": "Both are SDXL-related generation problems, but one is inpaint+refiner behavior and the other is PixArt-XL output corruption; unrelated code paths." + }, + { + "left": "issue:4399", + "right": "issue:5763", + "accept": false, + "reason": "Torch compile/offload incompatibility is unrelated to save_pretrained not writing safetensors." + }, + { + "left": "issue:10710", + "right": "issue:8373", + "accept": false, + "reason": "DDUF format support request and an incorrect error-message report are not the same bug or change." + }, + { + "left": "issue:6686", + "right": "issue:9844", + "accept": false, + "reason": "Dynamo compilation save/load performance regression is different from SDXL VAE encoder NaNs." + }, + { + "left": "issue:1084", + "right": "issue:307", + "accept": false, + "reason": "Both are broad pipeline-weight topics, but one asks for documentation on reusing weights and the other requests merging pipelines into one; different proposals." + }, + { + "left": "issue:11374", + "right": "issue:12373", + "accept": false, + "reason": "SkyReels-V2 integration request and an Unlearn API request are separate feature additions." + }, + { + "left": "issue:11447", + "right": "issue:11448", + "accept": false, + "reason": "Offline shard-file loading and a missing model path are both loading-related, but they are distinct errors with different causes." + }, + { + "left": "issue:1730", + "right": "issue:2442", + "accept": false, + "reason": "Dreambooth-to-CKPT conversion compatibility and inpainting loss-curve guidance are unrelated." + }, + { + "left": "issue:2414", + "right": "issue:6636", + "accept": false, + "reason": "These are both import errors, but they involve different missing symbols/modules and different release-time regressions." + }, + { + "left": "issue:4031", + "right": "issue:4874", + "accept": false, + "reason": "Local safety-checker load failure is not the same as the low_res_scheduler bug in upscale pipeline local loading." + }, + { + "left": "issue:4476", + "right": "issue:5412", + "accept": false, + "reason": "SDXL+ControlNet fill50k quality issue and resume_from_checkpoint training failure are different problems in different stages." + }, + { + "left": "issue:4641", + "right": "issue:4697", + "accept": false, + "reason": "Both are LoRA loading issues, but one is about native LoRA weights with local files and the other is a specific LoRA failing after a version update; not clearly the same code-path bug." + }, + { + "left": "issue:5135", + "right": "issue:6008", + "accept": false, + "reason": "LoRA quality degradation/xformers is a performance-quality regression, while IP-Adapter Plus Face with LCM LoRA is a compatibility failure; not the same change." + }, + { + "left": "issue:7939", + "right": "issue:8956", + "accept": false, + "reason": "Both mention loading models, but one is loading from the same folder and the other is OVStableDiffusionXLPipeline model loading; too different to merge." + }, + { + "left": "issue:13377", + "right": "issue:9637", + "accept": false, + "reason": "QwenImagePipeline CFG suppression with negative_prompt_embeds is unrelated to xFormers attention-mask/bfloat16 shape failure." + }, + { + "left": "issue:11092", + "right": "issue:9112", + "accept": false, + "reason": "Empty timesteps in SDXL img2img with Turbo is a scheduler/timestep bug; Auraflow tensor-size mismatch is a model-shape mismatch." + }, + { + "left": "issue:2716", + "right": "issue:6176", + "accept": false, + "reason": "General checkpoint loading question and LoRA weight loading after dreambooth training are different issues." + }, + { + "left": "issue:4031", + "right": "issue:5553", + "accept": false, + "reason": "Both involve loading models, but the safety checker local-file failure and custom model loading failure are different code paths and fixes." + }, + { + "left": "issue:4043", + "right": "issue:5081", + "accept": false, + "reason": "SDXL pooled embeddings requirement and LPW XL matmul shape error are distinct embedding/shape issues." + }, + { + "left": "issue:8667", + "right": "issue:9460", + "accept": false, + "reason": "SD3ControlNet tensor-size mismatch and allowing a list of ControlNet models 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": 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-50-3013", + "nodes": [ + "issue:10695", + "issue:10768", + "issue:10772", + "issue:10893", + "issue:1214", + "issue:12761", + "issue:2201", + "issue:2550", + "issue:272", + "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:4304", + "issue:4306", + "issue:4675", + "issue:4804", + "issue:5043", + "issue:5365", + "issue:5794", + "issue:5875", + "issue:6335", + "issue:6598", + "issue:7237", + "issue:725", + "issue:7286", + "issue:7736", + "issue:7813", + "issue:8390", + "issue:8503", + "issue:8659", + "issue:8855", + "issue:8898", + "issue:8930", + "issue:9225", + "issue:9539", + "issue:9756" + ], + "soft_pairs": [ + "issue:10695|issue:12761", + "issue:10768|issue:10772", + "issue:10893|issue:8390", + "issue:2201|issue:6598", + "issue:2550|issue:5875", + "issue:272|issue:4304", + "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" + ], + "prepared_review_unit_hash": "2c99fbaa24eef321f2a3366839c214ddc134ce0f21dc8a54fa8b8424592457ce", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33265, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The pairings are mostly false-positive lexical matches across unrelated issues. They span different subsystems and bug types (scheduler math, ControlNet training/inference, loading errors, docs, and feature requests), so there is no clear duplicate cluster here.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue fits this set: the items are unrelated and do not describe one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #8930 is the strongest standalone thread: it is open, detailed, and actively discussed, but it still does not represent the rest of the heterogeneous set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10695", + "right": "issue:12761", + "accept": false, + "reason": "Different bugs: DDIMInverseScheduler timestep math vs. a backward pass returning the wrong number of gradients." + }, + { + "left": "issue:10768", + "right": "issue:10772", + "accept": false, + "reason": "Unrelated topics: negative prompt support in Hunyuan video vs. Sana ControlNet 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"issue:4118", + "accept": false, + "reason": "Different loading issues: AutoencoderKL checkpoint load failure vs. missing from_single_file attribute." + }, + { + "left": "issue:3682", + "right": "issue:725", + "accept": false, + "reason": "LoRA weight loading and device-mapping/accelerate pipeline loading are different problems." + }, + { + "left": "issue:3935", + "right": "issue:4001", + "accept": false, + "reason": "Both are docs-related, but one is about feed-forward chunking docstrings and the other about adding a demo link." + }, + { + "left": "issue:4675", + "right": "issue:8390", + "accept": false, + "reason": "ControlNet for SDXL reference-only vs. Stable Cascade ControlNet training are different requests." + }, + { + "left": "issue:4804", + "right": "issue:9225", + "accept": false, + "reason": "A state-mutation error in LoRA loading is unrelated to latent-size mismatch with RGBA images." + }, + { + "left": "issue:5043", + "right": "issue:7736", + "accept": false, + "reason": "LoRA finetuning for W\u0000fcrstchen is a model feature request, not the same as adding callbacks support." + }, + { + "left": "issue:5794", + "right": "issue:8898", + "accept": false, + "reason": "Missing tokenizer/config.json on a model repo is not the same as a subfolder path validation error." + }, + { + "left": "issue:7237", + "right": "issue:9756", + "accept": false, + "reason": "A missing scheduler class and a missing notebook file are unrelated." + }, + { + "left": "issue:7813", + "right": "issue:8855", + "accept": false, + "reason": "Timesteps tensor handling confusion is not the same as joint_attention_kwargs not reaching the AttentionProcessor." + }, + { + "left": "issue:8503", + "right": "issue:9539", + "accept": false, + "reason": "SD3 gradient-checkpointing crash and a Float8 index_select CUDA error are different code-path failures." + }, + { + "left": "issue:3876", + "right": "issue:4306", + "accept": false, + "reason": "Both mention ControlNet/reference pipelines, but one is an inpaint demo error and the other is a list-index-out-of-range bug." + }, + { + "left": "issue:6335", + "right": "issue:8930", + "accept": false, + "reason": "Both touch ControlNet img2img behavior, but one is about output size control while the other is about pose-conditioning not being respected." + }, + { + "left": "issue:3643", + "right": "issue:5365", + "accept": false, + "reason": "Latent decoding overflow and num_inference_steps handling in txt2video are unrelated issues." + }, + { + "left": "issue:3403", + "right": "issue:7286", + "accept": false, + "reason": "TorchDynamo pipeline loading and custom diffusion cross-attention weight loading are different subsystems and bugs." + }, + { + "left": "issue:2991", + "right": "issue:3467", + "accept": false, + "reason": "Mixed-precision failures in a training example are distinct from resuming from the wrong step." + }, + { + "left": "issue:1214", + "right": "issue:2908", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior is not the same as ControlNet training shape/mixed-precision errors." + }, + { + "left": "issue:4185", + "right": "issue:8659", + "accept": false, + "reason": "Black SDXL ControlNet images and checkpoint resume/load problems are different concrete 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": 343, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1205", + "issue:1271", + "issue:1617", + "issue:1821", + "issue:2097", + "issue:2326", + "issue:234", + "issue:235", + "issue:2364", + "issue:2596", + "issue:2606", + "issue:2763", + "issue:2782", + "issue:2880", + 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"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" + ], + "prepared_review_unit_hash": "8feb2b3607e9be15d97786dc9c78ac49cc8ccd28185d1bb6bbcadca664aff13d", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "These are mostly heterogeneous issue reports across Stable Diffusion training, inference, conversion, and docs. None of the soft pairs look like true duplicates of the same underlying bug/change.", + "confidence": 0.61, + "canonical_issue_reason": "Issue 970 is the broadest, most generic repo-health report in an otherwise mixed set, so it is the least specific fallback representative.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 970 is the most general/high-level issue and the best fallback representative, though it is not a strong duplicate anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2763", + "right": "issue:4826", + "accept": false, + "reason": "Both mention ControlNet, but one is a VRAM/cudnn benchmark issue and the other is MultiControlNet/Reference errors; different bugs." + }, + { + "left": "issue:1205", + "right": "issue:2782", + "accept": false, + "reason": "ONNX conversion vs sequential offloading error are different code paths and failure modes." + }, + { + "left": "issue:2905", + "right": "issue:6354", + "accept": false, + "reason": "Scheduler feature request vs ControlNet LoRA support request; same broad area, not the same change." + }, + { + "left": "issue:4616", + "right": "issue:970", + "accept": false, + "reason": "SDXL LoRA conversion script issue and integration-test failures are unrelated." + }, + { + "left": "issue:5630", + "right": "issue:9001", + "accept": false, + "reason": "SDXL img2img scheduler noise vs Auraflow aspect-ratio handling; different pipelines and bugs." + }, + { + "left": "issue:6162", + "right": "issue:6336", + "accept": false, + "reason": "IP-Adapter shape mismatch during generation vs TensorRT VAE compilation with AutoencoderTiny; unrelated subsystems." + }, + { + "left": "issue:2606", + "right": "issue:3884", + "accept": false, + "reason": "Both involve train_text_to_image_lora, but one is a DeepSpeed save_state hang and the other is a generic training-script error; not the same bug." + }, + { + "left": "issue:1617", + "right": "issue:2326", + "accept": false, + "reason": "Missing Dreambooth CLI args vs LoRA conversion to safetensors/ckpt are different issues." + }, + { + "left": "issue:4936", + "right": "issue:6520", + "accept": false, + "reason": "DreamBooth LoRA resume bug vs adapter validation returning blank images; different training paths." + }, + { + "left": "issue:7168", + "right": "issue:8551", + "accept": false, + "reason": "IP-Adapter embed shape confusion vs SDXL inpaint latent device placement; not the same defect." + }, + { + "left": "issue:4709", + "right": "issue:6164", + "accept": false, + "reason": "ControlNet guess mode support vs StableDiffusionPipeline latent output handling are separate features/bugs." + }, + { + "left": "issue:235", + "right": "issue:2880", + "accept": false, + "reason": "CUDA portability problem in a Colab script vs JAX Colab notebook failure; different environments and causes." + }, + { + "left": "issue:2596", + "right": "issue:3081", + "accept": false, + "reason": "Docs typo/missing utility import vs non-functional Textual Inversion Colab notebook; not duplicates." + }, + { + "left": "issue:3222", + "right": "issue:7300", + "accept": false, + "reason": "Missing output artifact after custom diffusion training vs memory regression after set_default_attn_processor; unrelated." + }, + { + "left": "issue:3224", + "right": "issue:7600", + "accept": false, + "reason": "Duplicate learning-rate scaling in DreamBooth LoRA vs missing accelerator.accumulate on text_encoder; distinct training bugs." + }, + { + "left": "issue:3453", + "right": "issue:7415", + "accept": false, + "reason": "Both mention bfloat16, but one is a train_text_to_image CUDA op issue and the other is AutoencoderKL on TPU; different code paths." + }, + { + "left": "issue:5538", + "right": "issue:6287", + "accept": false, + "reason": "Upscaler latent usage bug vs setup.py dependency cleanup; unrelated." + }, + { + "left": "issue:5605", + "right": "issue:9610", + "accept": false, + "reason": "SDXL DreamBooth caption support vs adding load_lora_weights to SD3 img2img; different features." + }, + { + "left": "issue:1271", + "right": "issue:2364", + "accept": false, + "reason": "Notebook dependency-install problems vs unable to run training script; too generic to be the same bug." + }, + { + "left": "issue:3740", + "right": "issue:7483", + "accept": false, + "reason": "Accelerate sequential device_map conversion bug vs SDXL LoRA-to-Diffusers conversion failure; different conversion scenarios." + }, + { + "left": "issue:234", + "right": "issue:3573", + "accept": false, + "reason": "Half-precision runtime issue vs class_labels missing in local upscaler pipeline; different pipeline failures." + }, + { + "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 vs missing custom_diffusion output file; unrelated." + }, + { + "left": "issue:2097", + "right": "issue:5075", + "accept": false, + "reason": "UNet1D usage problem vs SDXL Refiner prompt-embedding shape mismatch; different models and 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": 344, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10016", + "issue:1055", + "issue:1099", + "issue:1111", + "issue:11144", + "issue:11749", + "issue:1273", + "issue:2068", + "issue:2228", + "issue:2250", + "issue:2578", + "issue:3539", + "issue:3970", + "issue:4618", + "issue:4676", + "issue:4726", + "issue:4972", + "issue:5150", + "issue:5162", + "issue:540", + "issue:5405", + "issue:5630", + "issue:5919", + "issue:5931", + "issue:5968", + "issue:5998", + "issue:6242", + "issue:6321", + "issue:6439", + "issue:6441", + "issue:6446", + "issue:6561", + "issue:6685", + "issue:6811", + "issue:6966", + "issue:7049", + "issue:7054", + "issue:7535", + "issue:7616", + "issue:7762", + "issue:7939", + "issue:7945", + "issue:851", + "issue:9069", + "issue:9187", + "issue:9613", + "issue:9660" + ], + "soft_pairs": [ + "issue:4726|issue:7535", + "issue:11144|issue:9187", + "issue:4676|issue:7049", + "issue:5931|issue:7945", + "issue:1111|issue:540", + "issue:2228|issue:6446", + "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" + ], + "prepared_review_unit_hash": "fb55de796e0596e2d38d145baec03bc31556754ab51eb9de5bd896ea9b80e59f", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33137, + "estimated_input_tokens": 8285, + "estimated_eval_tokens": 16826 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a noisy similarity cluster, not a true duplicate set. The items span unrelated bugs/questions across loading, dtype, schedulers, docs, and model usage, so none of the soft pairs should be merged as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10016 is the most concrete, reproducible bug report in the set (specific failing code path and explicit shape mismatch), so it is the best anchor if one must be chosen, though it is not a true canonical for the rest of the items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10016 is the strongest standalone issue: clear title, explicit failure mode, and actionable model-loading context. It is the best representative issue here even though the cluster itself is heterogeneous.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4726", + "right": "issue:7535", + "accept": false, + "reason": "Callback type-hint bug vs tensor type-hint bug; different APIs and different failure modes." + }, + { + "left": "issue:11144", + "right": "issue:9187", + "accept": false, + "reason": "Flax UNet dtype initialization issue is unrelated to IP-Adapter image encoder folder handling." + }, + { + "left": "issue:4676", + "right": "issue:7049", + "accept": false, + "reason": "TAESD latent brightness problem is unrelated to IP adapter unpacking error." + }, + { + "left": "issue:5931", + "right": "issue:7945", + "accept": false, + "reason": "Determinism bug vs community pipeline composition question; not the same underlying change." + }, + { + "left": "issue:1111", + "right": "issue:540", + "accept": false, + "reason": "Checkpoint content/training topic is unrelated to Stable Diffusion memory placement optimization." + }, + { + "left": "issue:2228", + "right": "issue:6446", + "accept": false, + "reason": "Both mention loading, but one is GPU placement and the other is Colab/minimal-loading behavior; not the same concrete bug." + }, + { + "left": "issue:5162", + "right": "issue:5968", + "accept": false, + "reason": "Checkpoint-to-safetensors conversion script vs video-to-ONNX conversion script; different tooling and targets." + }, + { + "left": "issue:5630", + "right": "issue:7762", + "accept": false, + "reason": "Scheduler-specific SDXL img2img noise issue vs generic quality complaint; too broad to be the same bug." + }, + { + "left": "issue:5998", + "right": "issue:9069", + "accept": false, + "reason": "Unexpected keyword argument in VersatileDiffusionPipeline is unrelated to ndarray type mismatch." + }, + { + "left": "issue:5919", + "right": "issue:6966", + "accept": false, + "reason": "LoRA layer attribute error and attn_processors missing after forward pass are different model internals." + }, + { + "left": "issue:6561", + "right": "issue:6811", + "accept": false, + "reason": "Both are model-loading failures, but one is a missing IP-Adapter config file and the other is a missing i2vgen-xl repo file; different root causes." + }, + { + "left": "issue:10016", + "right": "issue:7939", + "accept": false, + "reason": "Both are loading failures, but 10016 is a specific SD3.5M shape mismatch while 7939 is a generic same-folder load failure." + }, + { + "left": "issue:2068", + "right": "issue:851", + "accept": false, + "reason": "Both involve dtype, but one is from_pretrained not converting types and the other is a half/float runtime mismatch." + }, + { + "left": "issue:2578", + "right": "issue:6321", + "accept": false, + "reason": "Editable install failure is unrelated to CLIP model detection." + }, + { + "left": "issue:2250", + "right": "issue:4972", + "accept": false, + "reason": "Dreambooth inference prompt failure and Wuerstchen example runtime failure are different pipelines/problems." + }, + { + "left": "issue:1055", + "right": "issue:1099", + "accept": false, + "reason": "Missing LatentDiffusionPipeline and missing dreambooth class name are unrelated API availability issues." + }, + { + "left": "issue:11749", + "right": "issue:9613", + "accept": false, + "reason": "Floating-point timestep error is not the same as missing Timesteps.scale attribute." + }, + { + "left": "issue:1273", + "right": "issue:3539", + "accept": false, + "reason": "Training loss question and main_process_first question are unrelated documentation/usage issues." + }, + { + "left": "issue:3970", + "right": "issue:4618", + "accept": false, + "reason": "Prompt-embeddings failure in SDXL is unrelated to using a specific checkpoint with ControlNet." + }, + { + "left": "issue:5150", + "right": "issue:6685", + "accept": false, + "reason": "Missing from_single_file implementation and absolute output_dir support are separate feature/bug requests." + }, + { + "left": "issue:5405", + "right": "issue:6439", + "accept": false, + "reason": "Weight overwriting bug in from_single_file is unrelated to a broken docs link." + }, + { + "left": "issue:5630", + "right": "issue:7616", + "accept": false, + "reason": "Both mention image artifacts, but one is LMS scheduler leftovers and the other is low-denoise Playground 2.5 behavior; not the same concrete bug." + }, + { + "left": "issue:6242", + "right": "issue:6441", + "accept": false, + "reason": "Dataset log request and Colab loading failure are unrelated." + }, + { + "left": "issue:7054", + "right": "issue:9660", + "accept": false, + "reason": "Mutating the input LoRA state_dict and failing to set eval mode are distinct from model-loading lifecycle 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": 345, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1070", + "issue:11088", + "issue:11363", + "issue:11547", + "issue:11878", + "issue:12060", + "issue:12082", + "issue:12113", + "issue:12900", + "issue:13065", + "issue:1363", + "issue:1403", + "issue:1541", + "issue:1730", + "issue:1883", + "issue:1918", + "issue:1969", + "issue:2026", + "issue:2761", + "issue:3171", + "issue:347", + "issue:3728", + "issue:4263", + "issue:4701", + "issue:4773", + "issue:4919", + "issue:5425", + "issue:547", + "issue:5574", + "issue:5578", + "issue:6297", + "issue:6412", + "issue:6506", + "issue:7147", + "issue:7183", + "issue:7322", + "issue:7450", + "issue:759", + "issue:7782", + "issue:7864", + "issue:7946", + "issue:8906", + "issue:8918", + "issue:9515", + "issue:9516", + "issue:9648", + "issue:9670", + "issue:9836" + ], + "soft_pairs": [ + "issue:7782|issue:9670", + "issue:8906|issue:9515", + "issue:11088|issue:12082", + "issue:1363|issue:1918", + "issue:4701|issue:7450", + "issue:6297|issue:7322", + "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" + ], + "prepared_review_unit_hash": "20f88ebaa99166f4119ddb8a74cae9d4be9a8b542a2052bad6971680d0186468", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33759, + "estimated_input_tokens": 8440, + "estimated_eval_tokens": 17136 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is broad and mostly contains unrelated bugs, feature requests, and docs questions. The Wan-related items share a family, but their failure modes differ enough that none of the soft pairs look like true duplicates.", + "confidence": 0.79, + "canonical_issue_reason": "No single issue cleanly represents the whole cluster; issue 12113 is the best anchor because it is the most concrete, reproducible bug report with a precise error and inbound references.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 12113 is the strongest triage candidate: it states an exact runtime mismatch in WanImageToVideoPipeline and is actionable to reproduce and fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7782", + "right": "issue:9670", + "accept": false, + "reason": "Both are loading-related, but one is a safetensors unpacking failure and the other is a missing PEFT backend; different root causes." + }, + { + "left": "issue:8906", + "right": "issue:9515", + "accept": false, + "reason": "Both mention SD3Transformer2DModel, but one asks about qk_norm and the other reports missing RMSNorm in a processor; not the same bug." + }, + { + "left": "issue:11088", + "right": "issue:12082", + "accept": false, + "reason": "Same Wan family, but one is a GGUF load error and the other is VAE memory growth after compile; different code paths." + }, + { + "left": "issue:1363", + "right": "issue:1918", + "accept": false, + "reason": "Different scheduler/pipeline problems: ONNX long-prompt community pipeline versus DDIM scheduler on a ddpm example." + }, + { + "left": "issue:4701", + "right": "issue:7450", + "accept": false, + "reason": "Both involve AutoencoderKL, but one is a float32 CUDA differentiation error and the other is a multi-thread issue; not the same defect." + }, + { + "left": "issue:6297", + "right": "issue:7322", + "accept": false, + "reason": "Both are Dreambooth training complaints, but one is a generic training failure and the other is a SIGKILL during a specific script run." + }, + { + "left": "issue:1883", + "right": "issue:759", + "accept": false, + "reason": "Gradient checkpointing for VAE and optional full-model saving for textual inversion are unrelated changes." + }, + { + "left": "issue:4773", + "right": "issue:4919", + "accept": false, + "reason": "Loading a CivitAI LoRA is not the same as adding multi-LoRA fuse support." + }, + { + "left": "issue:5574", + "right": "issue:9516", + "accept": false, + "reason": "One asks how to train part of UNet attention with LoRA; the other reports joint_attention_kwargs not being passed in FLUX." + }, + { + "left": "issue:5578", + "right": "issue:7946", + "accept": false, + "reason": "Missing model_index.json and custom_pipeline caching are different loading/caching failures." + }, + { + "left": "issue:11363", + "right": "issue:12900", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and workflows, so they are not the same bug." + }, + { + "left": "issue:6506", + "right": "issue:9648", + "accept": false, + "reason": "One is an output type bug in StableVideoDiffusionPipeline; the other is a memory overflow from VAE tiling." + }, + { + "left": "issue:1403", + "right": "issue:2026", + "accept": false, + "reason": "Safety checker output mismatch and cpu_offload failing in PaintByExample are unrelated issues." + }, + { + "left": "issue:1541", + "right": "issue:1730", + "accept": false, + "reason": "Both mention model loading/CKPTs, but one is Dreambooth MODEL_TYPE detection and the other is a webui conversion/load incompatibility." + }, + { + "left": "issue:1969", + "right": "issue:5425", + "accept": false, + "reason": "A tensor view/stride runtime error is unrelated to checkpoint saving compatibility with accelerate and PyTorch 2.1." + }, + { + "left": "issue:7147", + "right": "issue:7183", + "accept": false, + "reason": "Importing StableCascadeDecoderPipeline and a wrong scheduler class name are distinct issues." + }, + { + "left": "issue:11878", + "right": "issue:12113", + "accept": false, + "reason": "Same Wan umbrella, but one is GGUF loading for a 1.3B model and the other is an input channel mismatch in WanImageToVideoPipeline." + }, + { + "left": "issue:1070", + "right": "issue:347", + "accept": false, + "reason": "Stable diffusion inpainting bug and a huggingface-hub installation/version error are unrelated." + }, + { + "left": "issue:11547", + "right": "issue:13065", + "accept": false, + "reason": "Both mention controlnet, but one is a Flux fill support request and the other is a Qwen-Image inpaint/canny feature request." + }, + { + "left": "issue:12060", + "right": "issue:9836", + "accept": false, + "reason": "Both are DiT-related, but one asks whether a block exists in the codebase and the other requests recording layer_id; not the same change." + }, + { + "left": "issue:2761", + "right": "issue:547", + "accept": false, + "reason": "These are separate documentation requests about different topics." + }, + { + "left": "issue:3171", + "right": "issue:6412", + "accept": false, + "reason": "LPW prompt support for controlnet and annotator export to ONNX are different features." + }, + { + "left": "issue:3728", + "right": "issue:7864", + "accept": false, + "reason": "A new shifted-diffusion pipeline proposal and MotionMaster video generation are different pipeline ideas." + }, + { + "left": "issue:4263", + "right": "issue:8918", + "accept": false, + "reason": "LoRA unloading being broken is unrelated to train_dreambooth_sd3.py still failing." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:1865", + "issue:1922", + "issue:2234", + "issue:2439", + "issue:244", + "issue:2459", + "issue:280", + "issue:3287", + "issue:3574", + "issue:3643", + "issue:3853", + "issue:3908", + "issue:4236", + "issue:4250", + "issue:4363", + "issue:4468", + "issue:5064", + "issue:5395", + "issue:5567", + "issue:5989", + "issue:6297", + "issue:6366", + "issue:660", + "issue:7492", + "issue:7591", + "issue:7773", + "issue:7785", + "issue:7864", + "issue:7891", + "issue:7945", + "issue:7955", + "issue:8541", + "issue:8637", + "issue:9450", + "issue:9792" + ], + "soft_pairs": [ + "issue:4363|issue:5989", + "issue:5395|issue:7945", + "issue:7773|issue:9792", + "issue:3643|issue:7891", + "issue:6297|issue:6366", + "issue:1865|issue:2234", + "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" + ], + "prepared_review_unit_hash": "22ed0eef120833587681d66bea82e56b80e8504e3837e707e855edd660eae469", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34164, + "estimated_input_tokens": 8541, + "estimated_eval_tokens": 17338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated bug reports across different subsystems. The only plausible duplicate pair is the two HeaderTooLarge loading failures around safetensors/model loading.", + "confidence": 0.74, + "canonical_issue_reason": "issue:3853 is the older and broader report of the same loading failure, making it the better canonical issue for the HeaderTooLarge/safetensors duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3853 is the most suitable canonical issue in this set because it is a concrete, reusable bug report with a clear failure mode and broad enough wording to cover the matching duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4363", + "right": "issue:5989", + "accept": false, + "reason": "Both concern loading problems, but one is about loading an SDXL safetensors file and the other is a safetensors.torch bug; too different to be the same underlying issue." + }, + { + "left": "issue:5395", + "right": "issue:7945", + "accept": false, + "reason": "Different topics entirely: LoRA combination bug versus a community pipeline feature request." + }, + { + "left": "issue:7773", + "right": "issue:9792", + "accept": false, + "reason": "One is a Stable Video Diffusion batch-size generation bug; the other is dataset cache loading. No shared code-path bug." + }, + { + "left": "issue:3643", + "right": "issue:7891", + "accept": false, + "reason": "Different failures: latent decoding overflow versus CPU/CUDA device mismatch." + }, + { + "left": "issue:6297", + "right": "issue:6366", + "accept": false, + "reason": "One is training failure on photos; the other is checkpoint resuming/loading incorrectly. Related training area, but not the same bug." + }, + { + "left": "issue:1865", + "right": "issue:2234", + "accept": false, + "reason": "Zero stage3 dimension error and xformers attention failure are distinct training-path issues." + }, + { + "left": "issue:2439", + "right": "issue:660", + "accept": false, + "reason": "Inpainting pipeline loading/running issue is unrelated to fp16 on MPS." + }, + { + "left": "issue:10920", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler infinities at first step versus slow first inference are different symptoms and likely different fixes." + }, + { + "left": "issue:11872", + "right": "issue:9450", + "accept": false, + "reason": "CPU offloading inefficiency is a performance/movement problem; the FluxPipeline issue is a device mismatch error. Not the same bug." + }, + { + "left": "issue:4236", + "right": "issue:5064", + "accept": false, + "reason": "Text encoder registration bug and refiner out-of-memory are unrelated." + }, + { + "left": "issue:7864", + "right": "issue:7955", + "accept": false, + "reason": "Different community models/features with no shared underlying failure." + }, + { + "left": "issue:1922", + "right": "issue:3574", + "accept": false, + "reason": "Notebook undefined helper function and Windows from_ckpt loading bug are unrelated." + }, + { + "left": "issue:3853", + "right": "issue:7591", + "accept": true, + "reason": "Both report HeaderTooLarge during model/LoRA loading, pointing to the same underlying safetensors/header parsing failure across different load entrypoints." + }, + { + "left": "issue:3908", + "right": "issue:4250", + "accept": false, + "reason": "Streamlit caching and from_pretrained misloading are different problems." + }, + { + "left": "issue:10381", + "right": "issue:10526", + "accept": false, + "reason": "Both involve Flux/Quanto, but one is a quantization+LoRA inference error and the other is a specific WeightQBytesTensor constructor TypeError; too narrow to merge confidently." + }, + { + "left": "issue:12433", + "right": "issue:13256", + "accept": false, + "reason": "Documentation/versioning incompatibility versus a generic compatibility claim; not the same bug or change." + }, + { + "left": "issue:1284", + "right": "issue:4468", + "accept": false, + "reason": "Longer sample time from bigger batch size is not the same as multi-GPU performance differences in sample code." + }, + { + "left": "issue:10928", + "right": "issue:7492", + "accept": false, + "reason": "Missing shard file in offline mode is unrelated to repository-not-found errors." + }, + { + "left": "issue:10782", + "right": "issue:11055", + "accept": false, + "reason": "A minor Lumina issue is not the same as colorized outputs in unconditional training." + }, + { + "left": "issue:11083", + "right": "issue:8637", + "accept": false, + "reason": "Stride mismatch warning under torch-DDP is unrelated to an import error for PixArtSigmaPipeline." + }, + { + "left": "issue:11447", + "right": "issue:8541", + "accept": false, + "reason": "Offline shard resolution failure and model repository-not-found are different hub-loading issues." + }, + { + "left": "issue:1197", + "right": "issue:3287", + "accept": false, + "reason": "Community pipeline request versus improved DDPM support request; different feature work." + }, + { + "left": "issue:244", + "right": "issue:280", + "accept": false, + "reason": "Documentation/formatter contributor guidance is unrelated to adding a scheduler." + }, + { + "left": "issue:2459", + "right": "issue:5567", + "accept": false, + "reason": "Xformers attention not working in a LoRA training script and accelerator.prepare overwriting unet.config are distinct training bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted pair, issue:3853 and issue:7591, clearly share the same HeaderTooLarge safetensors-loading failure, and the other soft-edge rejections 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": 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-50-3013", + "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:2966", + "issue:3781", + "issue:3885", + "issue:4057", + "issue:4418", + "issue:4453", + "issue:459", + "issue:4680", + "issue:4788", + "issue:5150", + "issue:5160", + "issue:5225", + "issue:5442", + "issue:5710", + "issue:5763", + "issue:5846", + "issue:6313", + "issue:6444", + "issue:6533", + "issue:6949", + "issue:7593", + "issue:7752", + "issue:7836", + "issue:8594", + "issue:8637", + "issue:8759", + "issue:8786", + "issue:9025", + "issue:9051", + "issue:9138", + "issue:9241", + "issue:9267", + "issue:9387", + "issue:9523", + "issue:9953" + ], + "soft_pairs": [ + "issue:3885|issue:8594", + "issue:4057|issue:7752", + "issue:4453|issue:4680", + "issue:4788|issue:5225", + "issue:5150|issue:9025", + "issue:5160|issue:9241", + "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" + ], + "prepared_review_unit_hash": "78da4db82cd730bda7fcf9bc06cccd39ab71fe8a36886494dac0eaa196e20b57", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33499, + "estimated_input_tokens": 8375, + "estimated_eval_tokens": 17006 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: mostly unrelated issue reports across different pipelines, schedulers, training scripts, and loading/quantization paths. No soft-edge pair looks like the same underlying bug strongly enough to merge.", + "confidence": 0.55, + "canonical_issue_reason": "issue:9051 is the clearest, most concrete runtime bug report in the set (FluxPipeline batch inference), so it works best as a representative issue even though the cluster is not truly cohesive.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9051 is the strongest standalone issue candidate because it is specific, reproducible, and tied to a concrete pipeline code path rather than a broad question or vague regression.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3885", + "right": "issue:8594", + "accept": false, + "reason": "VRAM usage discussion for training vs an UnboundLocalError in a SD3 LoRA script; different bugs and fixes." + }, + { + "left": "issue:4057", + "right": "issue:7752", + "accept": false, + "reason": "Blurred inpainting output vs a question about num_class_images during training; unrelated topics." + }, + { + "left": "issue:4453", + "right": "issue:4680", + "accept": false, + "reason": "LoRA conversion workflow vs SDXL inpainting fine-tuning; not the same bug." + }, + { + "left": "issue:4788", + "right": "issue:5225", + "accept": false, + "reason": "Both concern memory, but one is SD XL inpaint OOM on 6 GB and the other is a forward-pass OOM on SDXL with Adafactor; different concrete failures." + }, + { + "left": "issue:5150", + "right": "issue:9025", + "accept": false, + "reason": "Missing from_single_file on Upscale pipeline vs Flax pipeline usage on Kaggle TPU; different pipeline/backend support issues." + }, + { + "left": "issue:5160", + "right": "issue:9241", + "accept": false, + "reason": "Dreambooth/LoRA masking vs an XLab-to-diffusers conversion script; unrelated change requests." + }, + { + "left": "issue:5442", + "right": "issue:6313", + "accept": false, + "reason": "ScaleCrafter pipeline feature vs Null-Text Inversion pipeline implementation; different artifacts entirely." + }, + { + "left": "issue:6533", + "right": "issue:9387", + "accept": false, + "reason": "Marigold depth-estimation pipeline vs MimicMotion pipeline; no shared bug." + }, + { + "left": "issue:7593", + "right": "issue:9267", + "accept": false, + "reason": "IP-Adapter image projection NoneType error vs missing rope attribute in Flux transformer; different code paths." + }, + { + "left": "issue:8759", + "right": "issue:8786", + "accept": false, + "reason": "SD3 image casting warning vs SD3 token-count/sequence-length behavior; related model family but distinct defects." + }, + { + "left": "issue:4418", + "right": "issue:5763", + "accept": false, + "reason": "Inpainting denoising_start behavior vs save_pretrained safetensors serialization; unrelated." + }, + { + "left": "issue:5846", + "right": "issue:9523", + "accept": false, + "reason": "Checkpoint resume error in one training script vs mapping errors across multiple training scripts; not the same concrete bug." + }, + { + "left": "issue:10085", + "right": "issue:9051", + "accept": false, + "reason": "Both mention batch inference, but one is LyCORIS/skip_guidance_layers runtime failure and the other is generic FluxPipeline batch support; different underlying problems." + }, + { + "left": "issue:11062", + "right": "issue:13001", + "accept": false, + "reason": "CivitAI LoRA loading error vs Flux2.Klein GGUF shape mismatch; different model/file-format issues." + }, + { + "left": "issue:5710", + "right": "issue:6949", + "accept": false, + "reason": "Missing self.sigmas during scheduler init vs blank images at even step counts; different scheduler bugs." + }, + { + "left": "issue:10227", + "right": "issue:9138", + "accept": false, + "reason": "LoRA feature-size NotImplementedError vs a generic int/string comparison TypeError; unrelated." + }, + { + "left": "issue:12610", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized/device movement, but one is Quanto + Group Offload and the other is moving a quantized pipeline to CUDA; too different for one fix." + }, + { + "left": "issue:2841", + "right": "issue:459", + "accept": false, + "reason": "Sampling temperature support in schedulers vs Incremental Diffusion proposal; not duplicates." + }, + { + "left": "issue:2966", + "right": "issue:6444", + "accept": false, + "reason": "Multi-GPU training problem in instruct-pix2pix vs checkpointing/peft_config error in SDXL LoRA training; different failures." + }, + { + "left": "issue:1066", + "right": "issue:3781", + "accept": false, + "reason": "Docs builder behavior in forks vs loading multiple LoRAs; unrelated." + }, + { + "left": "issue:10710", + "right": "issue:9138", + "accept": false, + "reason": "DDUF format support question vs a TypeError; no shared bug." + }, + { + "left": "issue:10860", + "right": "issue:10963", + "accept": false, + "reason": "LoRA interoperability with ComfyUI vs missing AutoencoderKLWan import; different modules and problems." + }, + { + "left": "issue:11321", + "right": "issue:7836", + "accept": false, + "reason": "Flux controlnet README bug vs CLIP training overfitting; one is documentation, the other is model behavior." + }, + { + "left": "issue:11343", + "right": "issue:8637", + "accept": false, + "reason": "General import failures after a transformers update vs missing PixArtSigmaPipeline export; similar symptom category but not 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": 348, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10638", + "issue:1156", + "issue:12666", + "issue:12881", + "issue:1323", + "issue:1572", + "issue:1798", + "issue:2233", + "issue:2645", + "issue:2941", + "issue:2961", + "issue:3103", + "issue:3249", + "issue:3296", + "issue:3431", + "issue:3467", + "issue:3871", + "issue:3967", + "issue:4340", + "issue:4598", + "issue:4615", + "issue:487", + "issue:5002", + "issue:5166", + "issue:5365", + "issue:5429", + "issue:5475", + "issue:5693", + "issue:579", + "issue:6481", + "issue:6632", + "issue:6726", + "issue:6958", + "issue:7057", + "issue:7300", + "issue:7350", + "issue:7400", + "issue:7438", + "issue:7950", + "issue:7991", + "issue:8507", + "issue:8708", + "issue:8788", + "issue:9090", + "issue:9370", + "issue:9793", + "issue:9844", + "issue:9889" + ], + "soft_pairs": [ + "issue:2941|issue:3431", + "issue:4598|issue:5002", + "issue:4615|issue:7950", + "issue:5166|issue:9370", + "issue:6481|issue:7057", + "issue:6632|issue:8708", + "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" + ], + "prepared_review_unit_hash": "5da8f444764b5cada32b9bac1ac3965707508596bb5e04ec366b6dfe6b7f9541", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "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": "These issues are broadly about diffusers, but they span many unrelated bugs/features (training scripts, SDXL/SD3, schedulers, VAE, ControlNet, platform-specific failures). I don\u2019t see a single underlying defect shared across the cluster, so no canonical duplicate target stands out.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2941", + "right": "issue:3431", + "accept": false, + "reason": "Both mention diffusion image quality, but one is scheduler output quality and the other is inpainting+ControlNet; different pipelines and failure modes." + }, + { + "left": "issue:4598", + "right": "issue:5002", + "accept": false, + "reason": "Missing dependency error handling is unrelated to a scheduler argument omission." + }, + { + "left": "issue:4615", + "right": "issue:7950", + "accept": false, + "reason": "ImportError for a missing class is unrelated to a PyTorch version compatibility issue." + }, + { + "left": "issue:5166", + "right": "issue:9370", + "accept": false, + "reason": "VQ-VAE scaling in an unconditional LDM pipeline is unrelated to a missing pooled_projection argument in SD3 embeddings." + }, + { + "left": "issue:6481", + "right": "issue:7057", + "accept": false, + "reason": "Both are training/checkpoint related in name only; one is batch-size behavior in DreamBooth, the other is a generic checkpoint failure." + }, + { + "left": "issue:6632", + "right": "issue:8708", + "accept": false, + "reason": "One asks whether save_state is necessary for LoRA scripts; the other reports a missing SD3 VAE config field. Different issues." + }, + { + "left": "issue:7400", + "right": "issue:9889", + "accept": false, + "reason": "Both are inference failures, but stable video diffusion black images and an SDXL-turbo segmentation fault are different code paths." + }, + { + "left": "issue:7438", + "right": "issue:9793", + "accept": false, + "reason": "One is XPU generation stalling; the other is a progress bar update bug. No shared underlying defect." + }, + { + "left": "issue:5475", + "right": "issue:6726", + "accept": false, + "reason": "A named video model paper/topic and a content-consistent super-resolution model are not duplicates." + }, + { + "left": "issue:3467", + "right": "issue:3871", + "accept": false, + "reason": "ControlNet resume step counting and text-to-image checkpoint resume errors are separate training bugs." + }, + { + "left": "issue:7991", + "right": "issue:9090", + "accept": false, + "reason": "A tutorial bug is unrelated to a scheduler timesteps repetition bug." + }, + { + "left": "issue:1323", + "right": "issue:579", + "accept": false, + "reason": "Flax model dtype loading and missing config.json are different loading failures." + }, + { + "left": "issue:1572", + "right": "issue:3103", + "accept": false, + "reason": "One is a broken mega pipeline for img2img/inpainting; the other is inpainting size handling. Related area, but not the same bug." + }, + { + "left": "issue:4340", + "right": "issue:8507", + "accept": false, + "reason": "Both involve SDXL/SD3 training, but one is SDXL LoRA with train_text_encoder and the other is SD3 DreamBooth text encoder failure." + }, + { + "left": "issue:5693", + "right": "issue:8788", + "accept": false, + "reason": "Loading a VAE with error is not the same as VAE tiling support for non-power-of-2 images." + }, + { + "left": "issue:1156", + "right": "issue:3296", + "accept": false, + "reason": "A generic training failure is too broad to match a checkpoint save/load bug tied to text_encoder in DreamBooth." + }, + { + "left": "issue:3249", + "right": "issue:487", + "accept": false, + "reason": "An AttnUpBlock2D argument mismatch is unrelated to StableDiffusionPipeline not working on M1 CPU." + }, + { + "left": "issue:2645", + "right": "issue:5365", + "accept": false, + "reason": "A macOS CUDA assertion in ControlNet is unrelated to a txt2video num_inference_steps error." + }, + { + "left": "issue:10638", + "right": "issue:9844", + "accept": false, + "reason": "SDXL scheduler scheduling script problems and SDXL VAE encoder NaNs are separate failure modes." + }, + { + "left": "issue:12666", + "right": "issue:12881", + "accept": false, + "reason": "Kandinsky video pipeline availability in a release is unrelated to a prompt2prompt word replacement bug." + }, + { + "left": "issue:1798", + "right": "issue:5429", + "accept": false, + "reason": "A Flax DreamBooth v_prediction limitation is not the same as supporting models without a VAE in other examples." + }, + { + "left": "issue:2233", + "right": "issue:2961", + "accept": false, + "reason": "Textual inversion validation/gradient accumulation issues are unrelated to adding a StableUnCLIP training example." + }, + { + "left": "issue:3967", + "right": "issue:6958", + "accept": false, + "reason": "SDXL branch/deletion breakage is unrelated to a unet_motion_model configuration field being absent." + }, + { + "left": "issue:7300", + "right": "issue:7350", + "accept": false, + "reason": "High GPU memory usage after setting a default attention processor is unrelated to initializing ControlNet from a UNet with 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": 349, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10045", + "issue:10287", + "issue:10829", + "issue:11045", + "issue:11232", + "issue:11486", + "issue:1572", + "issue:181", + "issue:2440", + "issue:2444", + "issue:2673", + "issue:2737", + "issue:3698", + "issue:4264", + "issue:4374", + "issue:4400", + "issue:4453", + "issue:4580", + "issue:4686", + "issue:4806", + "issue:4830", + "issue:4841", + "issue:5004", + "issue:5079", + "issue:5109", + "issue:5567", + "issue:5647", + "issue:6109", + "issue:6801", + "issue:7043", + "issue:7080", + "issue:7185", + "issue:725", + "issue:7456", + "issue:759", + "issue:7686", + "issue:8511", + "issue:8543", + "issue:8593", + "issue:8786", + "issue:9023", + "issue:9161", + "issue:9225", + "issue:9237", + "issue:9366", + "issue:9467", + "issue:9534", + "issue:9568" + ], + "soft_pairs": [ + "issue:7456|issue:9467", + "issue:11232|issue:8511", + "issue:4580|issue:5109", + "issue:2673|issue:4686", + "issue:5567|issue:9534", + "issue:11045|issue:9161", + "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" + ], + "prepared_review_unit_hash": "6401bd5e81310c912cff3fe57aa669a8ecdb19feb7d9b9a72792dd3309837ad3", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33538, + "estimated_input_tokens": 8385, + "estimated_eval_tokens": 17026 + }, + "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 bugs/features across pipelines, schedulers, and training scripts. There is no strong duplicate core; the safest representative is a broad, high-discussion training-script issue rather than a narrow pipeline bug.", + "confidence": 0.83, + "canonical_issue_reason": "issue:9237 is the broadest representative among the set: it is a major, active Flux DreamBooth/LoRA training bug with substantial discussion and inbound references, making it the best single issue to stand in for the training-script side of this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "As a global representative, issue:9237 best captures the cluster\u2019s recurring theme of training-script failures while being specific enough to be meaningful; the rest of the issues are too diverse to serve as one canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7456", + "right": "issue:9467", + "accept": false, + "reason": "Different bug classes: a generic missing-raise/validation issue versus a CogVideoX frame-count guard-rail. Not the same underlying defect." + }, + { + "left": "issue:11232", + "right": "issue:8511", + "accept": false, + "reason": "One is about noise residuals during text-to-image fine-tuning; the other is about text encoders not being unloaded in SD3 training. Different code paths and symptoms." + }, + { + "left": "issue:4580", + "right": "issue:5109", + "accept": false, + "reason": "Both are scheduler/pipeline failures in broad terms, but they affect different components and failure modes; not enough to be the same concrete bug." + }, + { + "left": "issue:2673", + "right": "issue:4686", + "accept": false, + "reason": "Upscale pipeline runtime/config error versus saved pipeline reload failure. Same broad subsystem, but different underlying issues." + }, + { + "left": "issue:5567", + "right": "issue:9534", + "accept": false, + "reason": "Both mention .config on UNet-like objects, but one is accelerator.prepare overwriting config in training and the other is FluxMultiControlNetModel missing config at runtime. Not the same bug." + }, + { + "left": "issue:11045", + "right": "issue:9161", + "accept": false, + "reason": "Both are training-script problems, but one is a Flux loading crash and the other is distributed bugs in the Flux LoRA script. Different failure conditions and likely different fixes." + }, + { + "left": "issue:4806", + "right": "issue:7686", + "accept": false, + "reason": "Type/parameter validation issues in different model classes and different error messages; not the same defect." + }, + { + "left": "issue:11486", + "right": "issue:9237", + "accept": false, + "reason": "Feature request to enable xformers memory-efficient attention versus an actual Flux DreamBooth/LoRA training issue. Not duplicates." + }, + { + "left": "issue:5647", + "right": "issue:9366", + "accept": false, + "reason": "SDXL inpaint strength==1 bug versus DPMSolver/AutoPipeline image2image step-count interaction. Different pipelines and failure logic." + }, + { + "left": "issue:10045", + "right": "issue:6801", + "accept": false, + "reason": "Importing pipelines versus scheduler loading in diffusers 0.26.0. Too generic and unrelated to treat as the same bug." + }, + { + "left": "issue:10829", + "right": "issue:7043", + "accept": false, + "reason": "DreamBooth LoRA OOM at final inference versus DreamBooth with custom captions. Different problem types and code paths." + }, + { + "left": "issue:1572", + "right": "issue:2440", + "accept": false, + "reason": "StableDiffusionMega img2img/inpainting support issue versus float16 inpainting model load error. Similar domain, but not the same concrete bug." + }, + { + "left": "issue:181", + "right": "issue:2444", + "accept": false, + "reason": "Training script writing-image failure versus a non-zero exit in a different inpainting DreamBooth script. Distinct runtime failures." + }, + { + "left": "issue:2737", + "right": "issue:4400", + "accept": false, + "reason": "Scheduler CLIP guidance support request versus a question about text_encoder support in a training script. Not the same change or bug." + }, + { + "left": "issue:3698", + "right": "issue:759", + "accept": false, + "reason": "Model conversion request versus saving-full-model behavior for textual inversion. Different functionality." + }, + { + "left": "issue:4264", + "right": "issue:4453", + "accept": false, + "reason": "Missing example images in docs versus LoRA conversion to safetensors for AUTO1111. Documentation/content issue vs export/interoperability question." + }, + { + "left": "issue:4374", + "right": "issue:4841", + "accept": false, + "reason": "Both relate to ControlNet image sizing, but one is a StableDiffusionControlNetInpaintPipeline issue and the other is a generic ControlNet image size issue; not enough evidence they are the same bug." + }, + { + "left": "issue:4830", + "right": "issue:9225", + "accept": false, + "reason": "Wrong tensor size in MultiControlNet versus RGBA latent size mismatch in SDXL InstructPix2Pix. Different models and failure surfaces." + }, + { + "left": "issue:5004", + "right": "issue:8543", + "accept": false, + "reason": "Checkpoint resume problem in SDXL DreamBooth fp16 versus gradient checkpointing failure in SD3 DreamBooth. Different mechanisms." + }, + { + "left": "issue:5079", + "right": "issue:725", + "accept": false, + "reason": "LoRA loading support request versus a memory-footprint/device-map feature request for DiffusionPipeline. Related area, but not the same change." + }, + { + "left": "issue:6109", + "right": "issue:7080", + "accept": false, + "reason": "ControlNet-xs/depth-control issue versus SDXL control-net training inference output drifting from wandb. Different models and symptoms." + }, + { + "left": "issue:7185", + "right": "issue:9568", + "accept": false, + "reason": "PyTorch 2.2 support question versus CogVideoX autoencoder reconstruction failure. Unrelated problems." + }, + { + "left": "issue:8593", + "right": "issue:8786", + "accept": false, + "reason": "CPU bfloat16 noise generation in SD3 versus max_sequence_length not affecting SD3 token count. Different subsystems and bugs." + }, + { + "left": "issue:10287", + "right": "issue:9023", + "accept": false, + "reason": "Documentation example bug versus a sample code runtime failure. Too generic and 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": 350, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10165", + "issue:10950", + "issue:1101", + "issue:11321", + "issue:1141", + "issue:11547", + "issue:12308", + "issue:1246", + "issue:1335", + "issue:1358", + "issue:1530", + "issue:1717", + "issue:2024", + "issue:2163", + "issue:2177", + "issue:2265", + "issue:2359", + "issue:2616", + "issue:2803", + "issue:3403", + "issue:3612", + "issue:3627", + "issue:3661", + "issue:3933", + "issue:4236", + "issue:4256", + "issue:4615", + "issue:4677", + "issue:4975", + "issue:5009", + "issue:5245", + "issue:525", + "issue:5327", + "issue:5466", + "issue:6238", + "issue:6321", + "issue:646", + "issue:6921", + "issue:699", + "issue:7061", + "issue:7147", + "issue:7267", + "issue:7968", + "issue:8673", + "issue:9239", + "issue:9599", + "issue:9613", + "issue:9619" + ], + "soft_pairs": [ + "issue:1717|issue:2177", + "issue:10950|issue:7267", + "issue:2803|issue:4615", + "issue:1246|issue:3627", + "issue:1335|issue:1530", + "issue:5327|issue:5466", + "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" + ], + "prepared_review_unit_hash": "832ce8dec30f657b3409727f57d504d1cf9092658d5c3ca9374e0eb326262094", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33559, + "estimated_input_tokens": 8390, + "estimated_eval_tokens": 17036 + }, + "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 unrelated bugs, docs, and feature requests across different pipelines/subsystems. All soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: the items do not share one underlying defect or change; they are mostly unrelated reports with only superficial keyword overlap.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative because the cluster is heterogeneous; none subsumes the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1717", + "right": "issue:2177", + "accept": false, + "reason": "Both concern model loading, but one is offline cache behavior and the other is AutoencoderKL loading; different failures." + }, + { + "left": "issue:10950", + "right": "issue:7267", + "accept": false, + "reason": "Doc bug versus broken local data loading in a training script; unrelated problems." + }, + { + "left": "issue:2803", + "right": "issue:4615", + "accept": false, + "reason": "Local docs build on WSL2 is unrelated to an import error for ControlNet pipeline." + }, + { + "left": "issue:1246", + "right": "issue:3627", + "accept": false, + "reason": "Different training-example failures in different scripts and code paths." + }, + { + "left": "issue:1335", + "right": "issue:1530", + "accept": false, + "reason": "Both are missing-argument style errors, but for different pipelines and different missing fields." + }, + { + "left": "issue:5327", + "right": "issue:5466", + "accept": false, + "reason": "Both involve SDXL loading, but one is textual inversion and the other is LoRA shape mismatch; not the same bug." + }, + { + "left": "issue:6238", + "right": "issue:6921", + "accept": false, + "reason": "Related to SDXL weights/VAE, but one is a VAE issue and the other is shipped weight deviation; not one defect." + }, + { + "left": "issue:11321", + "right": "issue:9239", + "accept": false, + "reason": "Flux ControlNet README bug versus black-image generation in ControlNet-Canny; unrelated." + }, + { + "left": "issue:11547", + "right": "issue:9599", + "accept": false, + "reason": "One asks for Flux fill/controlnet support, the other for a LoRA finetune example; feature requests differ." + }, + { + "left": "issue:12308", + "right": "issue:9619", + "accept": false, + "reason": "Flash-attn kernel support and ControlNet interrupt are separate feature requests in different areas." + }, + { + "left": "issue:1358", + "right": "issue:699", + "accept": false, + "reason": "Safetensors support and negative prompts are unrelated features." + }, + { + "left": "issue:2024", + "right": "issue:646", + "accept": false, + "reason": "Corrupted notebook file versus missing set_format on PNDMScheduler; unrelated." + }, + { + "left": "issue:2359", + "right": "issue:3612", + "accept": false, + "reason": "Img2img latent output type and custom ControlNet construction are different behaviors." + }, + { + "left": "issue:3403", + "right": "issue:7061", + "accept": false, + "reason": "TorchDynamo pipeline loading and a docstring typo are unrelated." + }, + { + "left": "issue:3933", + "right": "issue:4975", + "accept": false, + "reason": "Graph compile logging issue versus LoRA loading inefficiency; different code paths and symptoms." + }, + { + "left": "issue:7968", + "right": "issue:8673", + "accept": false, + "reason": "Both mention attention, but one is Motion UNet internals and the other is SD3 text padding masks." + }, + { + "left": "issue:3661", + "right": "issue:6321", + "accept": false, + "reason": "from_ckpt SD2 weight loading and CLIP model detection are unrelated." + }, + { + "left": "issue:4236", + "right": "issue:4677", + "accept": false, + "reason": "SDXL refiner registration issue versus an inpainting doc script error; not the same bug." + }, + { + "left": "issue:5245", + "right": "issue:7147", + "accept": false, + "reason": "Pipenv import freeze and missing StableCascadeDecoderPipeline import are unrelated." + }, + { + "left": "issue:2163", + "right": "issue:2265", + "accept": false, + "reason": "Training dtype mismatch and ONNXRuntime incompatibility are separate training/runtime issues." + }, + { + "left": "issue:4256", + "right": "issue:5009", + "accept": false, + "reason": "SDXL Dreambooth error and Wuerstchen error are different model-specific failures." + }, + { + "left": "issue:10165", + "right": "issue:9613", + "accept": false, + "reason": "LoRA seed preservation on scale change is unrelated to a Timesteps.scale attribute error." + }, + { + "left": "issue:1101", + "right": "issue:1141", + "accept": false, + "reason": "Scheduler addition and local-file support in custom pipelines are unrelated features." + }, + { + "left": "issue:2616", + "right": "issue:525", + "accept": false, + "reason": "LoRA save_attn_procs NoneType error and local-disk image loading in a notebook 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": 351, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10017", + "issue:11035", + "issue:11136", + "issue:11447", + "issue:12060", + "issue:12195", + "issue:12695", + "issue:13225", + "issue:181", + "issue:2856", + "issue:3026", + "issue:3174", + "issue:3209", + "issue:3432", + "issue:3808", + "issue:4061", + "issue:4134", + "issue:4178", + "issue:4263", + "issue:4354", + "issue:4562", + "issue:4764", + "issue:4912", + "issue:5070", + "issue:5079", + "issue:5313", + "issue:5368", + "issue:5466", + "issue:5577", + "issue:5689", + "issue:5923", + "issue:6520", + "issue:6921", + "issue:6928", + "issue:6949", + "issue:7000", + "issue:7012", + "issue:7049", + "issue:7197", + "issue:7619", + "issue:7851", + "issue:7877", + "issue:7962", + "issue:7991", + "issue:8604", + "issue:8732", + "issue:9613" + ], + "soft_pairs": [ + "issue:2856|issue:4562", + "issue:3174|issue:5313", + "issue:5070|issue:6928", + "issue:5079|issue:7877", + "issue:5689|issue:6921", + "issue:6520|issue:6949", + "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" + ], + "prepared_review_unit_hash": "16f3b3aef8d7d7f659c3323d576a37e23e4420783ac8de46e2902ea2c0ce64c0", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is a loose mix of unrelated loading, conversion, training, scheduler, and feature-request issues; none of the soft pairs look like the same underlying bug/change.", + "confidence": 0.92, + "canonical_issue_reason": "issue:2856 is the broadest representative of the cluster\u2019s main theme: model conversion/loading into Diffusers. It is more central than the narrower training, scheduler, LoRA, or API-specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2856 is the best single stand-in for this noisy cluster because it captures the generic SD-to-Diffusers conversion/load problem most directly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2856", + "right": "issue:4562", + "accept": false, + "reason": "Different conversion problems: generic SD\u2192Diffusers conversion vs SDXL safetensors conversion to a pipeline." + }, + { + "left": "issue:3174", + "right": "issue:5313", + "accept": false, + "reason": "Different LoRA bugs: loading breakage after new LoRA features vs non-revertible fuse behavior." + }, + { + "left": "issue:5070", + "right": "issue:6928", + "accept": false, + "reason": "Unrelated topics: ControlNet training flags vs a Marigold depthmap colorization option." + }, + { + "left": "issue:5079", + "right": "issue:7877", + "accept": false, + "reason": "Different features: LyCORIS loading support vs adding out_dim to Attention blocks." + }, + { + "left": "issue:5689", + "right": "issue:6921", + "accept": false, + "reason": "Different issues: residual noise during sampling vs shipped SDXL weights deviating from official weights." + }, + { + "left": "issue:6520", + "right": "issue:6949", + "accept": false, + "reason": "Different code paths: blank validation output during adapter training vs blank images from a scheduler step-count bug." + }, + { + "left": "issue:3432", + "right": "issue:7012", + "accept": false, + "reason": "Different failures: CPU half-precision convolution unsupported vs v_prediction producing odd images." + }, + { + "left": "issue:10017", + "right": "issue:6520", + "accept": false, + "reason": "Dataset loading issue vs blank validation results in adapter training; not the same bug." + }, + { + "left": "issue:11136", + "right": "issue:9613", + "accept": false, + "reason": "Different failures in different components: SCM timestep support vs missing Timesteps.scale attribute." + }, + { + "left": "issue:3808", + "right": "issue:7619", + "accept": false, + "reason": "Different training failures: DeepFloyd IF stage 2 vs Dreambooth channel mismatch." + }, + { + "left": "issue:4134", + "right": "issue:7851", + "accept": false, + "reason": "Different problems: MPS tensor-size mismatch in ControlNet vs concurrent pipeline out-of-bounds indexing." + }, + { + "left": "issue:3209", + "right": "issue:7000", + "accept": false, + "reason": "NaN outputs in AutoencoderKL vs a PyTorch deprecation warning; not the same bug." + }, + { + "left": "issue:4764", + "right": "issue:5466", + "accept": false, + "reason": "Different LoRA loading errors: OFT-generated weights vs SDXL image-to-image shape mismatch." + }, + { + "left": "issue:5923", + "right": "issue:8732", + "accept": false, + "reason": "Different training-stage failures: multi-GPU fine-tuning hang vs checkpoint-saving issue." + }, + { + "left": "issue:7991", + "right": "issue:8604", + "accept": false, + "reason": "Tutorial bug vs model corruption when casting T5 encoder to float16; different underlying issues." + }, + { + "left": "issue:5368", + "right": "issue:7049", + "accept": false, + "reason": "Different errors: mixed-precision dtype mismatch vs IP-Adapter unpacking failure." + }, + { + "left": "issue:5577", + "right": "issue:7197", + "accept": false, + "reason": "Different KeyErrors in different flows: from_single_file ControlNet loading vs training resume metadata." + }, + { + "left": "issue:11035", + "right": "issue:12695", + "accept": false, + "reason": "Different requests: symlink=False support for download vs Hunyuan v1.5 model support." + }, + { + "left": "issue:11447", + "right": "issue:12195", + "accept": false, + "reason": "Offline checkpoint shard loading vs PyTorch custom_op incompatibility; unrelated bugs." + }, + { + "left": "issue:12060", + "right": "issue:13225", + "accept": false, + "reason": "A question about whether DiT exists vs a concrete RAE+DiT support request; not duplicates." + }, + { + "left": "issue:181", + "right": "issue:3026", + "accept": false, + "reason": "Different training-script failures: image writing in unconditional training vs accelerate launch error in instruct-pix2pix." + }, + { + "left": "issue:4061", + "right": "issue:4263", + "accept": false, + "reason": "Different LoRA lifecycle bugs: loading SDXL LoRA vs unloading LoRA weights." + }, + { + "left": "issue:4178", + "right": "issue:4354", + "accept": false, + "reason": "Different problems: LoRA unloading with XFormers vs wrong pipeline type returned by from_single_file." + }, + { + "left": "issue:4912", + "right": "issue:7962", + "accept": false, + "reason": "Different feature requests: converting CivitAI checkpoints to Diffusers vs passing cross_attention_kwargs in Instruct-Pix2Pix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1009", + "issue:10198", + "issue:10772", + "issue:10897", + "issue:11220", + "issue:11343", + "issue:12173", + "issue:12369", + "issue:1284", + "issue:1604", + "issue:1923", + "issue:1957", + "issue:2265", + "issue:2412", + "issue:2459", + "issue:3120", + "issue:3452", + "issue:3570", + "issue:3748", + "issue:3954", + "issue:4279", + "issue:4414", + "issue:4438", + "issue:4615", + "issue:4771", + "issue:4804", + "issue:4912", + "issue:5084", + "issue:5518", + "issue:5803", + "issue:5824", + "issue:6218", + "issue:6703", + "issue:7102", + "issue:7370", + "issue:7606", + "issue:7736", + "issue:782", + "issue:8464", + "issue:8493", + "issue:8502", + "issue:861", + "issue:8915", + "issue:9186", + "issue:9332", + "issue:962", + "issue:9822" + ], + "soft_pairs": [ + "issue:782|issue:861", + "issue:1923|issue:2412", + "issue:3120|issue:5803", + "issue:4279|issue:5518", + "issue:8464|issue:9332", + "issue:10198|issue:9822", + "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" + ], + "prepared_review_unit_hash": "01a28e10e951d86f1452e4064424eb03ad892ec5713b5716fb345cfc74cfcff2", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33018, + "estimated_input_tokens": 8255, + "estimated_eval_tokens": 16766 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster looks like a broad false-positive similarity set: the issues span unrelated models, training scripts, import errors, and documentation requests. None of the soft pairs look like the same concrete bug/change, and there are no PRs in the cluster.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a reliable canonical here; the items are too heterogeneous to represent one duplicate bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because the cluster does not form one coherent problem area.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:782", + "right": "issue:861", + "accept": false, + "reason": "Both concern model loading-related problems, but one is a download/auth-token regression and the other is a ckpt-to-diffusers conversion issue; different bugs." + }, + { + "left": "issue:1923", + "right": "issue:2412", + "accept": false, + "reason": "Unrelated failures: missing CUDA libraries in a Docker/bitsandbytes setup vs an error using DreamBooth." + }, + { + "left": "issue:3120", + "right": "issue:5803", + "accept": false, + "reason": "Different symptoms and contexts: ControlNet ignoring input images vs SD producing black images." + }, + { + "left": "issue:4279", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA loading, but one is SDXL LoRAs not loading and the other is a specific AttributeError in a different code path." + }, + { + "left": "issue:8464", + "right": "issue:9332", + "accept": false, + "reason": "Seed/cpu-offload failure in SEGA is not the same bug as loading the wrong weights in StableDiffusionPipeline.from_pretrained()." + }, + { + "left": "issue:10198", + "right": "issue:9822", + "accept": false, + "reason": "Weight mismatch for Flux.1-dev is not the same as loading SDXL LoRAs into Flux." + }, + { + "left": "issue:10897", + "right": "issue:7370", + "accept": false, + "reason": "Different feature requests for different model families: SkyReels-A1 animation support vs OpenSora STDiT support." + }, + { + "left": "issue:11220", + "right": "issue:8502", + "accept": false, + "reason": "A documentation page not behaving as expected is unrelated to SD3 medium generating 512x512 images." + }, + { + "left": "issue:12173", + "right": "issue:12369", + "accept": false, + "reason": "Both mention Wan, but one is i2i latent upscale and the other is CineScale 4K support; different functionality." + }, + { + "left": "issue:3452", + "right": "issue:6703", + "accept": false, + "reason": "DreamBooth low-VRAM training and textual inversion being weakened by negative prompts are different problems." + }, + { + "left": "issue:3570", + "right": "issue:861", + "accept": false, + "reason": "Checkpoint download control and ckpt-to-diffusers conversion are separate issues." + }, + { + "left": "issue:3748", + "right": "issue:7606", + "accept": false, + "reason": "LoRA tensor dtype mismatch when loading safetensors is unrelated to a deprecated Kandinsky LoRA processor API." + }, + { + "left": "issue:4438", + "right": "issue:5824", + "accept": false, + "reason": "A generic SDXL pipeline error is too broad to match the specific add_time_ids default-value bug." + }, + { + "left": "issue:4615", + "right": "issue:5084", + "accept": false, + "reason": "Both are import errors, but for different classes and different pipelines; not the same underlying failure." + }, + { + "left": "issue:4912", + "right": "issue:7736", + "accept": false, + "reason": "SDXL checkpoint conversion is unrelated to adding supported callbacks." + }, + { + "left": "issue:6218", + "right": "issue:7102", + "accept": false, + "reason": "Both involve ControlNet pipelines, but batched seeds and multicontrolnet/multiprompt bugs are distinct code-path problems." + }, + { + "left": "issue:1604", + "right": "issue:2265", + "accept": false, + "reason": "A diffusers version break in lpw_stable_diffusion.py is unrelated to ONNXRuntime incompatibility in train_unconditional.py." + }, + { + "left": "issue:1957", + "right": "issue:3954", + "accept": false, + "reason": "Both mention learning-rate schedulers, but one is an init fix for unconditional training and the other is a multi-GPU step-count bug." + }, + { + "left": "issue:4771", + "right": "issue:8493", + "accept": false, + "reason": "General fine-tuned model loading and SD3Transformer2DModel state_dict mismatch are different loading failures." + }, + { + "left": "issue:4804", + "right": "issue:962", + "accept": false, + "reason": "A dictionary-iteration LoRA loader bug is not the same as inpaint pipeline size limitations." + }, + { + "left": "issue:1009", + "right": "issue:2459", + "accept": false, + "reason": "Textual inversion weight decay and xformers attention in LoRA training are unrelated training issues." + }, + { + "left": "issue:10772", + "right": "issue:9186", + "accept": false, + "reason": "A request for Sana ControlNet support is not the same as a differential diffusion ControlNet bug/feature." + }, + { + "left": "issue:11343", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors after updates, but they reference different APIs and likely different breakages." + }, + { + "left": "issue:1284", + "right": "issue:4414", + "accept": false, + "reason": "Batch-size slowdown is unrelated to the Consistency Model sampling 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": 353, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10382", + "issue:10511", + "issue:10573", + "issue:11022", + "issue:11135", + "issue:11885", + "issue:11962", + "issue:11989", + "issue:2822", + "issue:2830", + "issue:2838", + "issue:2905", + "issue:3113", + "issue:3347", + "issue:3366", + "issue:3570", + "issue:3674", + "issue:3679", + "issue:3787", + "issue:4158", + "issue:4217", + "issue:4398", + "issue:4419", + "issue:4724", + "issue:4977", + "issue:5153", + "issue:5256", + "issue:5410", + "issue:5630", + "issue:5953", + "issue:5977", + "issue:6001", + "issue:6348", + "issue:6363", + "issue:7057", + "issue:7168", + "issue:7519", + "issue:752", + "issue:7945", + "issue:8440", + "issue:8534", + "issue:8922", + "issue:9042", + "issue:9546", + "issue:9686", + "issue:9930", + "issue:9958" + ], + "soft_pairs": [ + "issue:2830|issue:3679", + "issue:4398|issue:4977", + "issue:5953|issue:9546", + "issue:6348|issue:9958", + "issue:7168|issue:7945", + "issue:4158|issue:7168", + "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" + ], + "prepared_review_unit_hash": "37338d22f7230df7bb57175858da93f1334b321456da192314d08d429c3a9b70", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 set is a loose collection of unrelated Diffusers issues; the proposed soft pairs only share broad vocabulary or subsystem names and do not describe the same underlying bug/change. No PRs are present.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #10382 is the clearest, most concrete bug report in the set: it names the exact component, method, and failure mode (AttributeError from a forward return-type mismatch).", + "canonical_pr_reason": null, + "best_issue_reason": "#10382 is the strongest representative issue because it is specific, reproducible, and narrowly scoped to a single code-path problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2830", + "right": "issue:3679", + "accept": false, + "reason": "Different requests: one asks about image/text-to-video support with a ModelScope video model, the other reports data-reading problems in a text-to-image LoRA training script." + }, + { + "left": "issue:4398", + "right": "issue:4977", + "accept": false, + "reason": "Unrelated problems: black images in an SDXL LoRA-dreambooth pipeline versus checkpoint removal in a training example." + }, + { + "left": "issue:5953", + "right": "issue:9546", + "accept": false, + "reason": "Both mention ControlNet training/inference workflows, but one is a crash from mismatched image/control image sizes while the other is a validation-step OOM in a Flux training example." + }, + { + "left": "issue:6348", + "right": "issue:9958", + "accept": false, + "reason": "Different feature requests: 3D support for AutoencoderKL versus tiling support for AutoencoderKLTemporalDecoder." + }, + { + "left": "issue:7168", + "right": "issue:7945", + "accept": false, + "reason": "The first is about incorrect IP-Adapter image embedding tensor shapes; the second is a request to combine community pipelines. Same broad area, not the same bug." + }, + { + "left": "issue:4158", + "right": "issue:7168", + "accept": false, + "reason": "Stall in from_single_file loading versus IP-Adapter embedding shape issues are distinct failure modes." + }, + { + "left": "issue:2905", + "right": "issue:5256", + "accept": false, + "reason": "Scheduler-wide Karras sigmas support and Insta-Flow training support are different feature requests." + }, + { + "left": "issue:3570", + "right": "issue:7057", + "accept": false, + "reason": "Both are loading/checkpoint-related, but one is about disabling downloads when loading ckpt and the other is that a specific model checkpoint does not work." + }, + { + "left": "issue:4419", + "right": "issue:7519", + "accept": false, + "reason": "Offset-noise inference mismatch is unrelated to cross_attention_kwargs scale being ignored by XFormersAttnProcessor." + }, + { + "left": "issue:10382", + "right": "issue:9930", + "accept": false, + "reason": "Encoder forward return-type mismatch causing AttributeError is unrelated to a PAG adaptive scale bug." + }, + { + "left": "issue:3347", + "right": "issue:3787", + "accept": false, + "reason": "NaN images from DiffusionPipeline are not the same as an import cycle causing DiffusionPipeline import failure." + }, + { + "left": "issue:3674", + "right": "issue:6363", + "accept": false, + "reason": "Metadata.jsonl parsing in a LoRA script and FP16 unscale ValueError are separate training issues." + }, + { + "left": "issue:5410", + "right": "issue:5630", + "accept": false, + "reason": "Both mention SDXL image quality, but one is blurry latent upscale output and the other is leftover noise from LMS scheduler in SDXL Img2Img." + }, + { + "left": "issue:10573", + "right": "issue:11989", + "accept": false, + "reason": "Multiple-ControlNet padding_mask_crop limitation and black inference images are different bugs." + }, + { + "left": "issue:11962", + "right": "issue:9042", + "accept": false, + "reason": "A GGUF quantized model support request for FLUX.1-Kontext-dev is not the same as adding Flux pipelines generally." + }, + { + "left": "issue:3113", + "right": "issue:5153", + "accept": false, + "reason": "Conceptually both are diffusion research ideas, but one is a layout-control method and the other is FreeU; they are not the same change." + }, + { + "left": "issue:3366", + "right": "issue:4724", + "accept": false, + "reason": "Autocast being blocked by LoRALinearLayer is unrelated to an SDXL img2img pipeline issue." + }, + { + "left": "issue:5977", + "right": "issue:8440", + "accept": false, + "reason": "Saving extra unet keys during LoRA training is different from a ValueError when using FromOriginalModelMixin in subclasses." + }, + { + "left": "issue:6001", + "right": "issue:8922", + "accept": false, + "reason": "Wrong pipeline class returned by from_single_file for SDXL refiner is unrelated to zeroed outputs from a quantized SD3 single-file model." + }, + { + "left": "issue:8534", + "right": "issue:9686", + "accept": false, + "reason": "SD3 dreambooth logit-normal weighting and SD3 ControlNet pooled projections are separate training vs pipeline bugs." + }, + { + "left": "issue:10511", + "right": "issue:11135", + "accept": false, + "reason": "A scheduler redesign request and a new SmoothCache pipeline proposal are unrelated feature requests." + }, + { + "left": "issue:11022", + "right": "issue:11885", + "accept": false, + "reason": "Quanto support for WAN 2.1 model transformation and a FLUX LoRA loading bug are different issues." + }, + { + "left": "issue:2822", + "right": "issue:4217", + "accept": false, + "reason": "Slow training convergence in ControlNet and slow loading with safetensors are unrelated performance complaints." + }, + { + "left": "issue:2838", + "right": "issue:752", + "accept": false, + "reason": "ControlNet pipeline behavior request and multi-concept Dreambooth support are different feature areas." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10085", + "issue:10712", + "issue:10937", + "issue:11077", + "issue:11363", + "issue:1161", + "issue:1608", + "issue:1851", + "issue:1883", + "issue:2276", + "issue:2462", + "issue:2552", + "issue:2966", + "issue:3073", + "issue:3811", + "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:5604", + "issue:5794", + "issue:5835", + "issue:6008", + "issue:6154", + "issue:6274", + "issue:6320", + "issue:6435", + "issue:6774", + "issue:7180", + "issue:730", + "issue:752", + "issue:7706", + "issue:7735", + "issue:7946", + "issue:7982", + "issue:8429", + "issue:8472", + "issue:8759", + "issue:9667", + "issue:9686" + ], + "soft_pairs": [ + "issue:7735|issue:8759", + "issue:2966|issue:6154", + "issue:6320|issue:9667", + "issue:10937|issue:11077", + "issue:3811|issue:5604", + "issue:1161|issue:1883", + "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" + ], + "prepared_review_unit_hash": "ad3ded02778674ff5fa82aad593f520a25b6deb9d0fadffa7ba9092532b0d834", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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 cluster is heterogeneous: the items cover unrelated problems across SDXL/SD3, LoRA, ControlNet, training scripts, caching, and model conversion. The listed soft pairs mostly share only broad subsystem keywords, not the same concrete bug or change, so they should not 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:7735", + "right": "issue:8759", + "accept": false, + "reason": "One is a dataset/caption-column training error; the other is an SD3 image postprocessing warning. Different code paths and failure modes." + }, + { + "left": "issue:2966", + "right": "issue:6154", + "accept": false, + "reason": "Both are training-related, but one is multi-GPU instruct-pix2pix behavior and the other is SDXL LoRA on M2 Mac. Not the same bug." + }, + { + "left": "issue:6320", + "right": "issue:9667", + "accept": false, + "reason": "Both mention model loading/remote files, but one is Emu2 remote model resolution and the other is a Flux fp8 local transformer file issue. Different targets." + }, + { + "left": "issue:10937", + "right": "issue:11077", + "accept": false, + "reason": "One is a torch.compile error in vae.encode; the other is a VAE convert script question. Same area, but not the same concrete problem." + }, + { + "left": "issue:3811", + "right": "issue:5604", + "accept": false, + "reason": "Both involve LoRA, but one says loaded LoRA has no effect and the other is about unfusing multiple LoRA. Different behavior and code paths." + }, + { + "left": "issue:1161", + "right": "issue:1883", + "accept": false, + "reason": "Model conversion vs enabling gradient checkpointing for VAE. No shared underlying defect." + }, + { + "left": "issue:2462", + "right": "issue:752", + "accept": false, + "reason": "IterableDataset support for finetuning vs multi-concept DreamBooth support. Related training domain, but distinct requests." + }, + { + "left": "issue:3073", + "right": "issue:4064", + "accept": false, + "reason": "Request to add consistency models vs request to add PSLD pipelines. Both are feature requests, not duplicates." + }, + { + "left": "issue:4321", + "right": "issue:5835", + "accept": false, + "reason": "Black images in Onnx DirectML FP16 vs using pretrained MusicLDM pipeline. Different pipelines and symptoms." + }, + { + "left": "issue:11363", + "right": "issue:8429", + "accept": false, + "reason": "ControlNet inference OOM vs I2VGen-XL official inference script issues. Same broad topic of examples, but not the same bug." + }, + { + "left": "issue:5135", + "right": "issue:8472", + "accept": false, + "reason": "LoRA quality degradation suspected xformers issue vs questions about pre-training LoRA with other modules. Different concerns." + }, + { + "left": "issue:5567", + "right": "issue:7982", + "accept": false, + "reason": "Accelerator.prepare overwriting unet.config is a runtime object mutation bug; from_pipe with MultiControlNetModel is a pipeline construction issue." + }, + { + "left": "issue:7180", + "right": "issue:7706", + "accept": false, + "reason": "ControlNet image2image CPU offload failure vs custom pipeline CUDA OOM. Both memory-related, but different causes and code paths." + }, + { + "left": "issue:1851", + "right": "issue:730", + "accept": false, + "reason": "Both concern DreamBooth training performance, but one is multi-GPU slowness and the other is local vs Colab learning behavior. Not the same issue." + }, + { + "left": "issue:4109", + "right": "issue:7946", + "accept": false, + "reason": "StableDiffusionXLInpaintPipeline not working vs custom_pipeline not being cached. Different pipeline functionality." + }, + { + "left": "issue:5574", + "right": "issue:6008", + "accept": false, + "reason": "LoRA training question vs IP-Adapter Plus Face failing with LCM LoRA after a release. Different components and failures." + }, + { + "left": "issue:1608", + "right": "issue:4872", + "accept": false, + "reason": "Training stopping at 500 steps on T4 vs SDXL finetuning CUDA OOM on T4 Colab. Same hardware mention, different failure modes." + }, + { + "left": "issue:2552", + "right": "issue:4057", + "accept": false, + "reason": "Tutorial question for StableDiffusionInpaintPipeline vs blurred output from a finetuned inpainting model. One is documentation/support, the other is model quality." + }, + { + "left": "issue:5108", + "right": "issue:6274", + "accept": false, + "reason": "T2I-Adapter multiple adapters broken vs T2I-Adapter with multiple adapters broken sounds similar, but one is multiadapter exceptions and the other likely a different adapter combination context; not enough evidence for same concrete bug." + }, + { + "left": "issue:6435", + "right": "issue:9686", + "accept": false, + "reason": "ControlNet default width/height initialization vs SD3 ControlNet pooled projections bug. Different components and symptoms." + }, + { + "left": "issue:10085", + "right": "issue:10712", + "accept": false, + "reason": "LyCORIS batch inference with skip_guidance_layers vs StableDiffusion3 prompt_embeds runtime error. Different pipelines and triggers." + }, + { + "left": "issue:2276", + "right": "issue:6774", + "accept": false, + "reason": "xformers install problem in a notebook vs attention processor dtype mismatch in mixed precision. Install-time vs runtime bug, not duplicates." + }, + { + "left": "issue:4061", + "right": "issue:4491", + "accept": false, + "reason": "SDXL LoRA load error vs SDXL refiner broken in latest diffusers. Same family, but different failure points." + }, + { + "left": "issue:4665", + "right": "issue:5794", + "accept": false, + "reason": "Windows safetensors/bin-file selection issue vs missing tokenizer/config.json for SDXL. Different file resolution 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": 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-50-3013", + "nodes": [ + "issue:10026", + "issue:10277", + "issue:10500", + "issue:1070", + "issue:11127", + "issue:12009", + "issue:1214", + "issue:12689", + "issue:13001", + "issue:13077", + "issue:1546", + "issue:1616", + "issue:1791", + "issue:2244", + "issue:2312", + "issue:2447", + "issue:2578", + "issue:2858", + "issue:2907", + "issue:3199", + "issue:3213", + "issue:3624", + "issue:3631", + "issue:3884", + "issue:4282", + "issue:4686", + "issue:4854", + "issue:4923", + "issue:5509", + "issue:5967", + "issue:6240", + "issue:6793", + "issue:6869", + "issue:7102", + "issue:7801", + "issue:785", + "issue:7851", + "issue:7945", + "issue:7946", + "issue:8407", + "issue:8898", + "issue:9134", + "issue:9291", + "issue:9479", + "issue:9674", + "issue:9680", + "issue:9704", + "issue:9889" + ], + "soft_pairs": [ + "issue:9134|issue:9291", + "issue:12009|issue:13001", + "issue:1214|issue:2244", + "issue:7801|issue:9674", + "issue:7945|issue:9680", + "issue:7946|issue:8898", + "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" + ], + "prepared_review_unit_hash": "b0ac6e0fb517e0f38dd64ed78437e6fff08900264cdea670d4256697798d37da", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33797, + "estimated_input_tokens": 8450, + "estimated_eval_tokens": 17156 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is broadly heterogeneous: most items are unrelated bugs or feature requests across different pipelines, loaders, schedulers, and training scripts. None of the soft-similarity pairs are strong enough to merge as the same underlying issue/change.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 13077 is the best anchor: it is a concrete, code-path-specific bug report with a clear failure mode ('shallow copy of the transformer weights') and strong engagement, making it the most representative issue here.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 13077 is the most actionable standalone bug in the set: specific symptom, specific API path, and likely to be useful as a canonical reference if related reports appear later.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9134", + "right": "issue:9291", + "accept": false, + "reason": "Both are FLUX LoRA-related, but one is about SimpleTuner-trained LoRAs and the other about kohya-ss key compatibility; different concrete failure modes and likely different fixes." + }, + { + "left": "issue:12009", + "right": "issue:13001", + "accept": false, + "reason": "Both involve GGUF loading, but they target different models and errors (Wan2.2 meta-tensor load vs Flux2.Klein shape mismatch), so they are not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:2244", + "accept": false, + "reason": "Both mention half precision, but they fail in different models/pipelines and with different runtime errors; too broad to treat as one defect." + }, + { + "left": "issue:7801", + "right": "issue:9674", + "accept": false, + "reason": "One is about mixed_precision not producing fp16 weights, the other about poor SD3 ControlNet training results; not the same code-path problem." + }, + { + "left": "issue:7945", + "right": "issue:9680", + "accept": false, + "reason": "A community-pipeline combination request is unrelated to an SDXL unconditional-generation breakage." + }, + { + "left": "issue:7946", + "right": "issue:8898", + "accept": false, + "reason": "Custom pipeline caching and from_pretrained subfolder path validation are different loader behaviors and errors." + }, + { + "left": "issue:1791", + "right": "issue:2578", + "accept": false, + "reason": "Mac/MPS support for UnCLIP is unrelated to editable-mode installation failure." + }, + { + "left": "issue:3199", + "right": "issue:3213", + "accept": false, + "reason": "Both mention pipeline breakage, but one is a broad custom-pipelines report and the other is a specific LPW pipeline regression; not enough evidence of one underlying bug." + }, + { + "left": "issue:4282", + "right": "issue:7102", + "accept": false, + "reason": "Adding Multi-ControlNet support is a feature request; the other is 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 leakage." + }, + { + "left": "issue:12689", + "right": "issue:13077", + "accept": false, + "reason": "LoRA checkpoint loading and ZImageControlNet transformer-weight copying are different mechanisms with different failure surfaces." + }, + { + "left": "issue:1070", + "right": "issue:4854", + "accept": false, + "reason": "Both are inpainting-related, but one is a generic inpainting bug report and the other is a batch/first-image issue; too different to merge." + }, + { + "left": "issue:6240", + "right": "issue:9704", + "accept": false, + "reason": "device_map='auto' loading errors and cuDNN frontend execution-plan failures are unrelated." + }, + { + "left": "issue:4686", + "right": "issue:6793", + "accept": false, + "reason": "Local StableDiffusionUpscalePipeline loading and Hydra serialization failures are unrelated." + }, + { + "left": "issue:1616", + "right": "issue:2907", + "accept": false, + "reason": "Community-pipeline support on Diffusers 0.8.0 is unrelated to double enable_model_cpu_offload failures." + }, + { + "left": "issue:2447", + "right": "issue:3884", + "accept": false, + "reason": "Both concern LoRA, but one is a generic LoRA error and the other is a specific training script failure; not clearly the same underlying bug." + }, + { + "left": "issue:5967", + "right": "issue:9889", + "accept": false, + "reason": "An announcement is not the same as a segmentation fault bug report." + }, + { + "left": "issue:1546", + "right": "issue:785", + "accept": false, + "reason": "Truncation warnings causing batched-input errors and PNDM scheduler performance cost are separate issues." + }, + { + "left": "issue:2858", + "right": "issue:4923", + "accept": false, + "reason": "Both are feature requests, but for different pipelines and different capabilities." + }, + { + "left": "issue:2312", + "right": "issue:3631", + "accept": false, + "reason": "EMA-save-hook errors during text-to-image finetuning and inpainting latent exceptions are unrelated." + }, + { + "left": "issue:10026", + "right": "issue:11127", + "accept": false, + "reason": "Training-memory behavior under DeepSpeed and single-file Flux model loading are different problems." + }, + { + "left": "issue:10277", + "right": "issue:8407", + "accept": false, + "reason": "Different schedulers, different pipelines, and different compatibility errors; not the same change." + }, + { + "left": "issue:3624", + "right": "issue:5509", + "accept": false, + "reason": "A getattr type error is unrelated to image-batch-size validation." + }, + { + "left": "issue:10500", + "right": "issue:6869", + "accept": false, + "reason": "Device placement failure in HunyuanVideo/BitsAndBytes is unrelated to a video export unpacking 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": 356, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:10337", + "issue:10526", + "issue:10590", + "issue:1127", + "issue:11570", + "issue:1214", + "issue:1271", + "issue:13015", + "issue:1335", + "issue:13386", + "issue:1785", + "issue:1895", + "issue:2161", + "issue:2326", + "issue:2495", + "issue:2644", + "issue:3094", + "issue:3181", + "issue:3209", + "issue:3280", + "issue:3683", + "issue:3752", + "issue:3787", + "issue:3958", + "issue:4014", + "issue:4122", + "issue:4134", + "issue:4438", + "issue:4598", + "issue:4697", + "issue:4874", + "issue:499", + "issue:5000", + "issue:5328", + "issue:5353", + "issue:5463", + "issue:5546", + "issue:5596", + "issue:5646", + "issue:6278", + "issue:6639", + "issue:6661", + "issue:6807", + "issue:7450", + "issue:7548", + "issue:8609", + "issue:9461", + "issue:9530" + ], + "soft_pairs": [ + "issue:1214|issue:2644", + "issue:3094|issue:5596", + "issue:1271|issue:3181", + "issue:2495|issue:6661", + "issue:4122|issue:5546", + "issue:4874|issue:5463", + "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" + ], + "prepared_review_unit_hash": "2cc66c4a225f1baf88c2a4e8925e17228e995da81d8449e7288e7f22916487ba", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34680, + "estimated_input_tokens": 8670, + "estimated_eval_tokens": 17596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are unrelated bug reports that only share broad subsystem vocabulary (Flux, LoRA, MPS, SDXL, schedulers, etc.). I found no soft pair that clearly represents the same concrete bug/change, so no merges are warranted.", + "confidence": 0.23, + "canonical_issue_reason": "If a single issue must be chosen, 10337 is the most concrete and narrowly scoped report, but the cluster is too mixed to treat it as a true canonical duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "10337 is the clearest representative of a specific reproducible bug report; the others are either similarly broad, more generic, or clearly about different failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1214", + "right": "issue:2644", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and DreamBooth GPU-count question are different problems." + }, + { + "left": "issue:3094", + "right": "issue:5596", + "accept": false, + "reason": "Both mention pokemon examples, but one is OOM during finetuning and the other is a dict/convert installation error." + }, + { + "left": "issue:1271", + "right": "issue:3181", + "accept": false, + "reason": "Dreambooth notebook dependency installation and TensorRT example TypeError are unrelated." + }, + { + "left": "issue:2495", + "right": "issue:6661", + "accept": false, + "reason": "Both involve MPS, but black-image output in upscaling and OOM during training are different code paths." + }, + { + "left": "issue:4122", + "right": "issue:5546", + "accept": false, + "reason": "Both are scheduler-step complaints, but one is a DPMSolver timesteps bug and the other is a base+refiner Karras-sigmas ensemble issue." + }, + { + "left": "issue:4874", + "right": "issue:5463", + "accept": false, + "reason": "A local low_res_scheduler bug and an UnboundLocalError on image_latents are distinct failures." + }, + { + "left": "issue:10526", + "right": "issue:9461", + "accept": false, + "reason": "Flux quantized WeightQBytesTensor construction error and vague Flux inference issue are not the same concrete bug." + }, + { + "left": "issue:1895", + "right": "issue:499", + "accept": false, + "reason": "EMA multi-GPU update behavior and unconditional training script failure are different issues." + }, + { + "left": "issue:3683", + "right": "issue:6278", + "accept": false, + "reason": "Saving Multi-ControlNet and multi-GPU LCM distillation are unrelated." + }, + { + "left": "issue:3787", + "right": "issue:4598", + "accept": false, + "reason": "A circular/partial import traceback and missing-dependency error messaging are different problems." + }, + { + "left": "issue:4697", + "right": "issue:6661", + "accept": false, + "reason": "LoRA loading after 0.20.0 and MPS OOM during training are unrelated." + }, + { + "left": "issue:13015", + "right": "issue:13386", + "accept": false, + "reason": "NPU device mismatch in QwenImageEditPlus and tensor concatenation crash with prior preservation are different bugs." + }, + { + "left": "issue:1127", + "right": "issue:1335", + "accept": false, + "reason": "Both mention OnnxStableDiffusionPipeline, but import-time DML traceback and constructor missing vae_encoder are not the same code-path problem." + }, + { + "left": "issue:3209", + "right": "issue:7548", + "accept": false, + "reason": "AutoencoderKL NaNs on large images and AnimateDiff flicker are different symptoms and likely different causes." + }, + { + "left": "issue:3280", + "right": "issue:3752", + "accept": false, + "reason": "DeepFloyd IF scheduler compatibility and DreamBooth inference failure are not the same bug." + }, + { + "left": "issue:4014", + "right": "issue:4438", + "accept": false, + "reason": "SDXL watermark artifacts and a generic SDXL pipeline error are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:6807", + "accept": false, + "reason": "ControlNet tensor-size mismatch on MPS and test collection failures on MPS are different issues." + }, + { + "left": "issue:6661", + "right": "issue:6807", + "accept": false, + "reason": "Training OOM on MPS and contributor test collection failures on MPS are not the same underlying bug." + }, + { + "left": "issue:10337", + "right": "issue:10590", + "accept": false, + "reason": "Flux IPAdapter quantization failure and Sana BFloat16 tiled VAE decode crash are different model/features." + }, + { + "left": "issue:5353", + "right": "issue:8609", + "accept": false, + "reason": "FreeU usage question and custom pipeline/IP-Adapter incompatibility are unrelated." + }, + { + "left": "issue:5646", + "right": "issue:7450", + "accept": false, + "reason": "Scheduler stability on a specific model and AutoencoderKL multithreading issues are different code paths." + }, + { + "left": "issue:1785", + "right": "issue:5000", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug and LoRA fuse/unfuse regression are unrelated." + }, + { + "left": "issue:6639", + "right": "issue:9530", + "accept": false, + "reason": "Different LoRA-loading outputs and GPU-memory freeing after torch.compile are unrelated concerns." + }, + { + "left": "issue:3958", + "right": "issue:5328", + "accept": false, + "reason": "Civitai LoRA with CPU offload and all Civitai LoRAs failing are broadly related but not specific enough to treat as the same bug without stronger evidence." + }, + { + "left": "issue:10337", + "right": "issue:11570", + "accept": false, + "reason": "Both involve quantization, but IPAdapter on Flux and load_lora_weights on bitsandbytes text encoders are different concrete failures." + }, + { + "left": "issue:2161", + "right": "issue:2326", + "accept": false, + "reason": "LoRA training inpainting support and LoRA conversion to safetensors/ckpt are different tasks and 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": 357, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1014", + "issue:10526", + "issue:10533", + "issue:10550", + "issue:10848", + "issue:1249", + "issue:1261", + "issue:1552", + "issue:1918", + "issue:1944", + "issue:1957", + "issue:2041", + "issue:2201", + "issue:2244", + "issue:2402", + "issue:2507", + "issue:2560", + "issue:2722", + "issue:3454", + "issue:3908", + "issue:4427", + "issue:4692", + "issue:4888", + "issue:5109", + "issue:5112", + "issue:579", + "issue:5805", + "issue:6028", + "issue:6110", + "issue:6218", + "issue:6222", + "issue:6297", + "issue:6335", + "issue:6517", + "issue:7354", + "issue:746", + "issue:7485", + "issue:7851", + "issue:8469", + "issue:8565", + "issue:9170", + "issue:9366", + "issue:9523", + "issue:954", + "issue:9731", + "issue:9813", + "issue:9927", + "issue:9941" + ], + "soft_pairs": [ + "issue:4692|issue:9170", + "issue:6218|issue:7485", + "issue:2402|issue:6028", + "issue:4888|issue:6110", + "issue:1552|issue:2201", + "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" + ], + "prepared_review_unit_hash": "763a70d4378e441fe70bd1f785188adacb7d8b5b3f1f7da3e00a46fdecb0ccfe", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34515, + "estimated_input_tokens": 8629, + "estimated_eval_tokens": 17514 + }, + "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 issues; the proposed soft edges are mostly broad keyword matches (LoRA, ControlNet, scheduler, offline, memory) rather than the same underlying bug, so none should be merged.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated bugs and features (Dreambooth, ControlNet, LoRA, schedulers, IP-Adapter, ONNX, Windows, offline loading, memory/OOM), so none is a safe duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong global representative because the cluster is not centered on one code-path failure; the titles point to distinct problems across different pipelines and scripts.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4692", + "right": "issue:9170", + "accept": false, + "reason": "Both mention memory, but one is a general UNet memory concern and the other is a specific SDXL+ControlNet VRAM requirement; different problems." + }, + { + "left": "issue:6218", + "right": "issue:7485", + "accept": false, + "reason": "Batched seed handling in ControlNet pipelines is unrelated to the safety_checker NoneType callable error." + }, + { + "left": "issue:2402", + "right": "issue:6028", + "accept": false, + "reason": "CUDA-not-enabled setup failure is not the same as a Kandinsky 3.0 out-of-memory runtime error." + }, + { + "left": "issue:4888", + "right": "issue:6110", + "accept": false, + "reason": "Both involve offline loading, but one is generic safetensors model loading and the other is LoRA weight loading; not the same bug." + }, + { + "left": "issue:1552", + "right": "issue:2201", + "accept": false, + "reason": "Attention slicing incompatibility is unrelated to tokenizer padding differences." + }, + { + "left": "issue:2041", + "right": "issue:3454", + "accept": false, + "reason": "Both are Dreambooth-related, but one is Windows compatibility and the other is breakage on latest code; different failure modes." + }, + { + "left": "issue:6517", + "right": "issue:9941", + "accept": false, + "reason": "A specific import error for SDXL ControlNet Img2Img does not match a generic Colab runtime failure." + }, + { + "left": "issue:1957", + "right": "issue:6297", + "accept": false, + "reason": "LR scheduler initialization fix is unrelated to Dreambooth SDXL training on photos." + }, + { + "left": "issue:5109", + "right": "issue:8565", + "accept": false, + "reason": "Both are LoRA-loading issues, but they hit different pipelines and different exceptions; not the same concrete code-path bug." + }, + { + "left": "issue:1944", + "right": "issue:579", + "accept": false, + "reason": "Dreambooth producing random outputs is unrelated to a missing config.json in textual inversion." + }, + { + "left": "issue:746", + "right": "issue:954", + "accept": false, + "reason": "ONNX revision loading and login/download access are different kinds of load failures." + }, + { + "left": "issue:9523", + "right": "issue:9927", + "accept": false, + "reason": "Training-script error mapping across SD3/SDXL/Flux is not the same as an HTTP header-too-large failure in SDv3 controlnet training." + }, + { + "left": "issue:2507", + "right": "issue:3908", + "accept": false, + "reason": "Safetensors GPU loading performance is unrelated to caching a model in a Streamlit demo." + }, + { + "left": "issue:2560", + "right": "issue:2722", + "accept": false, + "reason": "Different outputs from generator lists is unrelated to ControlNet model conversion mismatches." + }, + { + "left": "issue:1249", + "right": "issue:1918", + "accept": false, + "reason": "A numpy device attribute error in OnnxPipeline is unrelated to a DDIM scheduler issue." + }, + { + "left": "issue:6222", + "right": "issue:6335", + "accept": false, + "reason": "DDPM batch-size dependence and output-size control in ControlNet Img2Img are distinct issues." + }, + { + "left": "issue:10550", + "right": "issue:10848", + "accept": false, + "reason": "LoRA loading into a quantized base model is unrelated to IP-Adapter meta-loading with an unexpected device argument." + }, + { + "left": "issue:2722", + "right": "issue:5805", + "accept": false, + "reason": "ControlNet conversion mismatch and XLA float/half type mismatch are different bugs." + }, + { + "left": "issue:2244", + "right": "issue:5805", + "accept": false, + "reason": "Dreambooth CPU half-precision normalization failure is unrelated to the SDXL XLA type mismatch." + }, + { + "left": "issue:4427", + "right": "issue:7354", + "accept": false, + "reason": "A broken Multiadapter example is not the same as PNDMScheduler incompatibility with DDPMPipeline." + }, + { + "left": "issue:10526", + "right": "issue:10533", + "accept": false, + "reason": "Both are Flux-related, but one is an FP8 quantization TypeError and the other is black-image output in Flux Fill fp16; different root causes." + }, + { + "left": "issue:5112", + "right": "issue:7851", + "accept": false, + "reason": "A torch.Size float/shape error is unrelated to an out-of-bounds index during concurrent pipeline calls." + }, + { + "left": "issue:9366", + "right": "issue:9731", + "accept": false, + "reason": "Scheduler step/strength failure is unrelated to training a LoRA on Playground2.5." + }, + { + "left": "issue:8469", + "right": "issue:9813", + "accept": false, + "reason": "Both mention IP-Adapter, but one is corrupt faces from a specific model and the other is batch feature mixing in embedding preparation; not the same concrete bug." + }, + { + "left": "issue:1014", + "right": "issue:1261", + "accept": false, + "reason": "A vague upgrade problem is far too broad and does not match the xformers backward-pass assertion." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "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:11343", + "issue:11383", + "issue:11939", + "issue:12195", + "issue:12712", + "issue:1805", + "issue:1831", + "issue:2091", + "issue:2444", + "issue:3622", + "issue:3694", + "issue:4361", + "issue:4534", + "issue:4566", + "issue:4728", + "issue:5064", + "issue:5254", + "issue:5951", + "issue:6258", + "issue:6336", + "issue:6602", + "issue:7312", + "issue:7802", + "issue:8950", + "issue:9115", + "issue:9223", + "issue:9309", + "issue:9374", + "issue:9420", + "issue:9637" + ], + "soft_pairs": [ + "issue:2091|issue:5951", + "issue:4566|issue:4728", + "issue:5254|issue:6336", + "issue:3694|issue:5064", + "issue:4361|issue:6602", + "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" + ], + "prepared_review_unit_hash": "f993bbdc9581e411037ff437379ad339442b81c41a0c9f033dc5a4885f2484af", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33948, + "estimated_input_tokens": 8487, + "estimated_eval_tokens": 17230 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the paired items are mostly unrelated issues and feature requests spanning different models, pipelines, and failure modes.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: the items span unrelated bugs and feature requests across different pipelines/models.", + "canonical_pr_reason": null, + "best_issue_reason": "If one must anchor the set, issue 10204 is the most detailed open bug report, but it only covers FluxFill inpainting quality and does not unify the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2091", + "right": "issue:5951", + "accept": false, + "reason": "Resume-from-checkpoint training bug vs a Pixart training topic; different models and failure modes." + }, + { + "left": "issue:4566", + "right": "issue:4728", + "accept": false, + "reason": "Both mention resuming training, but one is SDXL LoRA checkpoint resume and the other is OOM on UNet resume; not the same bug." + }, + { + "left": "issue:5254", + "right": "issue:6336", + "accept": false, + "reason": "Multi-ControlNet feature request vs a TensorRT VAE compilation error; unrelated code paths." + }, + { + "left": "issue:3694", + "right": "issue:5064", + "accept": false, + "reason": "Missing model/config files during fine-tuning vs disk space exhaustion during inference; different problems." + }, + { + "left": "issue:4361", + "right": "issue:6602", + "accept": false, + "reason": "Both involve save/load behavior, but one is a safetensors shared-tensors saving regression and the other is a fuse_lora()/save_pretrained() load error." + }, + { + "left": "issue:1831", + "right": "issue:4534", + "accept": false, + "reason": "Both are dreambooth-related, but one is class-image precision mismatch and the other is an MPS validation crash." + }, + { + "left": "issue:10010", + "right": "issue:9420", + "accept": false, + "reason": "Both are FLUX-related, but one is a missing model_index.json download and the other is loading a saved FLUX+Hyper-SD transformer." + }, + { + "left": "issue:10052", + "right": "issue:10596", + "accept": false, + "reason": "Syntax error on ctx is unrelated to an invalid-shape runtime error in FluxControlPipeline." + }, + { + "left": "issue:10120", + "right": "issue:8950", + "accept": false, + "reason": "Different SD3 training issues: memory consumption in dreambooth vs a LoRA training bug." + }, + { + "left": "issue:10202", + "right": "issue:9309", + "accept": false, + "reason": "FluxControl LoRA unload bug vs a FluxControlNetPipeline run failure on Flux 1 schnell; not the same concrete defect." + }, + { + "left": "issue:10204", + "right": "issue:6258", + "accept": false, + "reason": "Both report quality degradation, but they are different pipelines with different causes and symptoms." + }, + { + "left": "issue:10490", + "right": "issue:7802", + "accept": false, + "reason": "Different scheduler feature requests: Infinity support vs OLSS Scheduler support." + }, + { + "left": "issue:1061", + "right": "issue:3622", + "accept": false, + "reason": "Doc update request for Textual Inversion vs an import error in a tutorial; unrelated." + }, + { + "left": "issue:10638", + "right": "issue:9115", + "accept": false, + "reason": "SDXL scheduler script problem vs AnimateDiff-Lightning/SDXL motion adapter error; different code paths." + }, + { + "left": "issue:10672", + "right": "issue:7312", + "accept": false, + "reason": "Callback-on-step-end support vs direct-reward finetuning support; both are feature requests but not the same change." + }, + { + "left": "issue:10672", + "right": "issue:9374", + "accept": false, + "reason": "General callback support request vs AutoPipeline support for Flux pipelines; distinct API additions." + }, + { + "left": "issue:10673", + "right": "issue:12712", + "accept": false, + "reason": "AuraFlow shape mismatch vs missing FLUX.2-dev-bnb-4bit model; unrelated." + }, + { + "left": "issue:1076", + "right": "issue:1805", + "accept": false, + "reason": "Stable Diffusion v1.5 question vs a request to add a scalable diffusion pipeline; not duplicates." + }, + { + "left": "issue:10796", + "right": "issue:11383", + "accept": false, + "reason": "Docs for HunyuanVideo LoRA vs HiDream LoRA support; different models and requests." + }, + { + "left": "issue:1088", + "right": "issue:2444", + "accept": false, + "reason": "Different dreambooth training scripts and different errors; no shared underlying bug." + }, + { + "left": "issue:10895", + "right": "issue:11939", + "accept": false, + "reason": "General deprecation handling vs updating flux_controlnet training code; too broad to be the same change." + }, + { + "left": "issue:10932", + "right": "issue:9223", + "accept": false, + "reason": "HunyuanVideo compile/recompile issue vs a dependency version conflict; unrelated." + }, + { + "left": "issue:10932", + "right": "issue:9637", + "accept": false, + "reason": "Compilation/recompile-limit problem vs xFormers attention-mask BF16 failure; different stack and fix." + }, + { + "left": "issue:10963", + "right": "issue:11343", + "accept": false, + "reason": "Missing AutoencoderKLWan import vs broader diffusers import failures after a transformers update; not the same root cause." + }, + { + "left": "issue:11047", + "right": "issue:12195", + "accept": false, + "reason": "ControlNet PAG inpaint model support gap vs AutoencoderKL failing on torch.library.custom_op; 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": 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-50-3013", + "nodes": [ + "issue:11047", + "issue:11055", + "issue:1117", + "issue:11220", + "issue:11362", + "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:1810", + "issue:1869", + "issue:2532", + "issue:305", + "issue:3213", + "issue:3300", + "issue:338", + "issue:339", + "issue:3724", + "issue:4071", + "issue:4646", + "issue:4702", + "issue:4969", + "issue:8317", + "issue:8557", + "issue:9188", + "issue:9224", + "issue:9239", + "issue:9438", + "issue:967", + "issue:9958" + ], + "soft_pairs": [ + "issue:11047|issue:9239", + "issue:11055|issue:8557", + "issue:1117|issue:338", + "issue:1117|issue:339", + "issue:11220|issue:9438", + "issue:11362|issue:8317", + "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" + ], + "prepared_review_unit_hash": "af5657629091cf9a10b10b069c2f7d72514aaa9821c35ae57590519692830af8", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "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": "This cluster is highly heterogeneous: the soft links mostly reflect superficial keyword overlap (ControlNet, Flux, ONNX, pipelines, tests) rather than the same underlying bug or change. I would not merge any of the soft edges as duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1869 is the most discussion-heavy and broadly framed item, but it still does not represent the rest of this mixed cluster well enough to serve as a true canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11047", + "right": "issue:9239", + "accept": false, + "reason": "Both mention ControlNet, but one is about a missing inpaint model in the pipeline and the other about black output with ControlNet-Canny; different bugs." + }, + { + "left": "issue:11055", + "right": "issue:8557", + "accept": false, + "reason": "Unconditional image generation colorization and SD3 training token limits are unrelated failure modes." + }, + { + "left": "issue:1117", + "right": "issue:338", + "accept": false, + "reason": "Multiple negative prompts tests and LMS Discrete tests cover different features." + }, + { + "left": "issue:1117", + "right": "issue:339", + "accept": false, + "reason": "Different scheduler coverage: negative prompts vs Karras VE." + }, + { + "left": "issue:11220", + "right": "issue:9438", + "accept": false, + "reason": "Both are docs issues, but they concern different pages and different broken links/behavior." + }, + { + "left": "issue:11362", + "right": "issue:8317", + "accept": false, + "reason": "Different model APIs: return_dict handling on HiDreamImageTransformer2DModel vs missing generator in AsymmetricAutoencoderKL decode." + }, + { + "left": "issue:11418", + "right": "issue:13484", + "accept": false, + "reason": "Adding a Flux fp8 weight file is not the same as failing LoRA loading on Flux 2 dev." + }, + { + "left": "issue:11547", + "right": "issue:9188", + "accept": false, + "reason": "Different Flux features: controlnet support vs outpainting." + }, + { + "left": "issue:11830", + "right": "issue:9224", + "accept": false, + "reason": "Both involve dtype issues, but one is black output in Framepack with fp16 and the other is MPS incompatibility with hardcoded float64." + }, + { + "left": "issue:11839", + "right": "issue:13001", + "accept": false, + "reason": "Both are GGUF loading problems, but they target different Flux models/pipelines and do not clearly describe the same concrete bug." + }, + { + "left": "issue:1197", + "right": "issue:1290", + "accept": false, + "reason": "Two different community pipeline proposals with no shared code-path issue." + }, + { + "left": "issue:1197", + "right": "issue:3724", + "accept": false, + "reason": "OpenAI diffusion pipeline and watermarking module are unrelated feature ideas." + }, + { + "left": "issue:1205", + "right": "issue:4646", + "accept": false, + "reason": "ONNX conversion is the only overlap; Stable Diffusion conversion and ControlNet conversion are distinct problems." + }, + { + "left": "issue:1214", + "right": "issue:967", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and ONNX scheduler incompatibility are different bugs." + }, + { + "left": "issue:12308", + "right": "issue:9958", + "accept": false, + "reason": "Flash-attn support on non-Hopper GPUs and AutoencoderKLTemporalDecoder tiling are unrelated." + }, + { + "left": "issue:1249", + "right": "issue:1810", + "accept": false, + "reason": "A runtime device attribute error in ONNX pipelines is not the same as NumPy deprecated types." + }, + { + "left": "issue:1255", + "right": "issue:3300", + "accept": false, + "reason": "Importing one scheduler failing is not the same as a broad claim that Diffusers on HuggingFace are broken." + }, + { + "left": "issue:1304", + "right": "issue:4702", + "accept": false, + "reason": "Training text-guided image-to-image diffusion and training a VQ-VAE are different tasks." + }, + { + "left": "issue:1310", + "right": "issue:1869", + "accept": false, + "reason": "Both are community-oriented pipeline ideas, but K-Diffusion + Stable Diffusion and UnCLIP interpolations are distinct changes." + }, + { + "left": "issue:1358", + "right": "issue:4071", + "accept": false, + "reason": "Safetensors support and inpaint-only+lama support are unrelated feature requests." + }, + { + "left": "issue:1363", + "right": "issue:3213", + "accept": false, + "reason": "Both involve lpw_stable_diffusion, but one is an ONNX/LMS scheduler error and the other is a broader pipeline breakage; not clearly the same bug." + }, + { + "left": "issue:1375", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but one is explicitly caused by PR #1365 and the other is a separate generic ImportError report." + }, + { + "left": "issue:1482", + "right": "issue:4969", + "accept": false, + "reason": "Stable Diffusion upscale pipeline and CrossAttention import failure are unrelated." + }, + { + "left": "issue:1486", + "right": "issue:2532", + "accept": false, + "reason": "DDIMScheduler prediction_type='sample' and StableDiffusionPanoramaPipeline get_views are different code paths." + }, + { + "left": "issue:1535", + "right": "issue:1536", + "accept": false, + "reason": "Image Variation Pipeline and lpw_stable_diffusion compatibility 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": 360, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:1546", + "issue:1566", + "issue:1594", + "issue:1604", + "issue:1647", + "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:2775", + "issue:2800", + "issue:2908", + "issue:3087", + "issue:3162", + "issue:3279", + "issue:3444", + "issue:3674", + "issue:3694", + "issue:3817", + "issue:4400", + "issue:459", + "issue:463", + "issue:543", + "issue:5462", + "issue:5824", + "issue:782", + "issue:834", + "issue:861" + ], + "soft_pairs": [ + "issue:1546|issue:543", + "issue:1566|issue:3279", + "issue:1594|issue:3444", + "issue:1594|issue:3817", + "issue:1604|issue:782", + "issue:1647|issue:1704", + "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" + ], + "prepared_review_unit_hash": "f2f8a460df9e31f4f088173277a42717fee1ff0ff104aea6c5f641202eaec58a", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33651, + "estimated_input_tokens": 8413, + "estimated_eval_tokens": 17082 + }, + "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 broad topical matches within Stable Diffusion, Dreambooth, conversion, or training scripts, but they describe different bugs, features, or error modes. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1546", + "right": "issue:543", + "accept": false, + "reason": "Different failures: truncation/batched-input error vs DDP stride warning." + }, + { + "left": "issue:1566", + "right": "issue:3279", + "accept": false, + "reason": "Both Dreambooth-related, but one is fp16 checkpoint-save crash and the other is checkpoint-resume errors." + }, + { + "left": "issue:1594", + "right": "issue:3444", + "accept": false, + "reason": "Img2img/video generation request is unrelated to audio-to-image integration." + }, + { + "left": "issue:1594", + "right": "issue:3817", + "accept": false, + "reason": "Different feature requests: video img2img vs dance-generation editing." + }, + { + "left": "issue:1604", + "right": "issue:782", + "accept": false, + "reason": "Different bugs: lpw_stable_diffusion breakage after diffusers upgrade vs model download/auth-token regression." + }, + { + "left": "issue:1647", + "right": "issue:1704", + "accept": false, + "reason": "Unrelated questions; one about color-correction weights, the other about attention blocks." + }, + { + "left": "issue:1692", + "right": "issue:2616", + "accept": false, + "reason": "Different runtime errors in different scripts: pickle/lambda vs NoneType replace on save_attn_procs." + }, + { + "left": "issue:1704", + "right": "issue:199", + "accept": false, + "reason": "A general attention question is not the same as deleting dead code." + }, + { + "left": "issue:1851", + "right": "issue:2371", + "accept": false, + "reason": "Performance regression on multi-GPU vs missing Dreambooth outputs are different problems." + }, + { + "left": "issue:1876", + "right": "issue:861", + "accept": false, + "reason": "Both involve conversion, but one is missing state_dict while the other is a generic ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:1909", + "right": "issue:3162", + "accept": false, + "reason": "Scheduler generator API mismatch is unrelated to missing learned_classifier_free_sampling_embeddings." + }, + { + "left": "issue:1962", + "right": "issue:2800", + "accept": false, + "reason": "Video generation request and DiffEdit semantic editing are different features." + }, + { + "left": "issue:1969", + "right": "issue:2775", + "accept": false, + "reason": "Distinct runtime errors: tensor view/stride issue vs torch._dynamo on non-function object." + }, + { + "left": "issue:2068", + "right": "issue:834", + "accept": false, + "reason": "Model dtype conversion bug is unrelated to CPU under-utilization." + }, + { + "left": "issue:2163", + "right": "issue:2908", + "accept": false, + "reason": "Different example scripts and failures: text-to-image dtype mismatch vs controlnet shape/mixed-precision errors." + }, + { + "left": "issue:2192", + "right": "issue:3674", + "accept": false, + "reason": "Missing CLI arguments and metadata.jsonl parsing are separate issues." + }, + { + "left": "issue:2225", + "right": "issue:463", + "accept": false, + "reason": "Safety-checker usage question is unrelated to super-resolution diffusion support." + }, + { + "left": "issue:2319", + "right": "issue:5824", + "accept": false, + "reason": "Different methods and bugs: typo in original-ckpt loader vs SDXL add_time_ids default mismatch." + }, + { + "left": "issue:2359", + "right": "issue:5462", + "accept": false, + "reason": "Both mention img2img/latent output, but they target different pipelines and change requests." + }, + { + "left": "issue:2375", + "right": "issue:3694", + "accept": false, + "reason": "Safe_open import error is unrelated to missing model_index/config during training." + }, + { + "left": "issue:2390", + "right": "issue:3087", + "accept": false, + "reason": "Separate feature requests for different model types: T2I-Adapter vs LyCORIS." + }, + { + "left": "issue:2416", + "right": "issue:2618", + "accept": false, + "reason": "Performance slowdown with xformers is unrelated to ControlNet float-tensor image input support." + }, + { + "left": "issue:2462", + "right": "issue:459", + "accept": false, + "reason": "IterableDataset support for finetuning is unrelated to incremental diffusion." + }, + { + "left": "issue:2507", + "right": "issue:2663", + "accept": false, + "reason": "GPU loading slowdown is not the same as model load failure when safetensors are present." + }, + { + "left": "issue:272", + "right": "issue:4400", + "accept": false, + "reason": "K-LMS inpainting support is unrelated to text_encoder support in 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": 1, + "component_count": 102, + "review_unit_index": 361, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:2755", + "issue:2763", + "issue:2785", + "issue:2800", + "issue:2871", + "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:3774", + "issue:3817", + "issue:4071", + "issue:4103", + "issue:4450", + "issue:4476", + "issue:4949", + "issue:5002", + "issue:5075", + "issue:5112", + "issue:5128", + "issue:557", + "issue:5592", + "issue:5989", + "issue:6218", + "issue:6560", + "issue:6732", + "issue:7183", + "issue:938" + ], + "soft_pairs": [ + "issue:2755|issue:5989", + "issue:2763|issue:5112", + "issue:2785|issue:4071", + "issue:2800|issue:938", + "issue:2871|issue:6732", + "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" + ], + "prepared_review_unit_hash": "7b64416cdfdb3c7beff3bc4ba1e1da742fd2c7aee9f82e54f2571da4788076ee", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32950, + "estimated_input_tokens": 8238, + "estimated_eval_tokens": 16732 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of mostly unrelated diffusers issues spanning Stable Diffusion loading, ControlNet, schedulers, LoRA, offload, and assorted feature requests. I do not see any true duplicate pair among the soft candidates.", + "confidence": 0.94, + "canonical_issue_reason": "issue:2755 is the most concrete, narrowly scoped bug report in the set, but the cluster is too heterogeneous for a strong canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2755 is a good representative only in the sense that it is a clear, actionable code-path bug; it is not a good cluster-wide duplicate anchor because the rest of the items are unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2755", + "right": "issue:5989", + "accept": false, + "reason": "Different bugs: StableDiffusion ckpt float16 loading vs a generic safetensors.torch bug." + }, + { + "left": "issue:2763", + "right": "issue:5112", + "accept": false, + "reason": "Both mention memory/model behavior, but one is ControlNet VRAM with cudnn.benchmark and the other is an SDXL ControlNet img2img float-size error." + }, + { + "left": "issue:2785", + "right": "issue:4071", + "accept": false, + "reason": "M1/M2 text-to-video support request is unrelated to inpaint-only+lama support." + }, + { + "left": "issue:2800", + "right": "issue:938", + "accept": false, + "reason": "DiffEdit semantic image editing is unrelated to human motion diffusion." + }, + { + "left": "issue:2871", + "right": "issue:6732", + "accept": false, + "reason": "Inpainting latent output handling is unrelated to scheduler documentation." + }, + { + "left": "issue:2883", + "right": "issue:4949", + "accept": false, + "reason": "Image-to-video pipeline and ProPainter video in/outpainting are different features." + }, + { + "left": "issue:2907", + "right": "issue:5592", + "accept": false, + "reason": "CPU offload called twice causing pipeline failures is unrelated to UniDiffuser checkpoint loading." + }, + { + "left": "issue:3029", + "right": "issue:4476", + "accept": false, + "reason": "ControlNet custom resolution question is unrelated to SDXL+ControlNet fill50k output mismatch." + }, + { + "left": "issue:3085", + "right": "issue:5002", + "accept": false, + "reason": "Cache-folder argument removal and missing scheduler argument are different API breakages." + }, + { + "left": "issue:3116", + "right": "issue:3481", + "accept": false, + "reason": "KDPM2DiscreteScheduler latent-noise bug in img2img is unrelated to DDIM step-dependent image differences." + }, + { + "left": "issue:3139", + "right": "issue:3283", + "accept": false, + "reason": "Using safetensors for image generation and converting LoRA safetensors to .bin are not the same issue." + }, + { + "left": "issue:3142", + "right": "issue:3223", + "accept": false, + "reason": "Safety checker placement is unrelated to RAM not being cleared after moving pipeline to cuda." + }, + { + "left": "issue:3182", + "right": "issue:6218", + "accept": false, + "reason": "Both involve pipeline behavior, but one is custom_pipeline CPU offload and the other is batched seeds in ControlNet/Img2Img." + }, + { + "left": "issue:3251", + "right": "issue:6732", + "accept": false, + "reason": "ControlNet Shuffle CFG-side behavior is unrelated to scheduler docs." + }, + { + "left": "issue:3366", + "right": "issue:3574", + "accept": false, + "reason": "LoRALinearLayer autocast regression and from_ckpt Windows problems are different bugs." + }, + { + "left": "issue:3403", + "right": "issue:5128", + "accept": false, + "reason": "Pipeline loading with TorchDynamo is not the same as failing to load a local .safetensors via XLPipeline.from_single_file." + }, + { + "left": "issue:3406", + "right": "issue:4103", + "accept": false, + "reason": "Attention only_cross_attention bug is unrelated to AutoencoderKL scaling_factor handling." + }, + { + "left": "issue:3411", + "right": "issue:4450", + "accept": false, + "reason": "Training test coverage for DreamBooth LoRA is unrelated to multi-text inversion not working." + }, + { + "left": "issue:3444", + "right": "issue:3817", + "accept": false, + "reason": "ImageBind + StableUnCLIP audio2image integration and editable dance generation from music are different feature requests." + }, + { + "left": "issue:3461", + "right": "issue:6560", + "accept": false, + "reason": "Dreambooth performance/vRAM complaint is unrelated to LoRA shape-size regression." + }, + { + "left": "issue:3551", + "right": "issue:3774", + "accept": false, + "reason": "LoRA deactivating xFormers and zero3 GPU-memory savings are separate training/runtime issues." + }, + { + "left": "issue:3566", + "right": "issue:557", + "accept": false, + "reason": "controlnet_reference unexpected results do not match generic DDIM quality complaints." + }, + { + "left": "issue:3580", + "right": "issue:5075", + "accept": false, + "reason": "XFormers TypeError and SDXL refiner prompt-embedding matmul shape mismatch are different failure modes." + }, + { + "left": "issue:3624", + "right": "issue:7183", + "accept": false, + "reason": "getattr TypeError is unrelated to scheduler _class_name reporting the wrong class." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:3658", + "issue:3677", + "issue:3688", + "issue:3693", + "issue:3750", + "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:5079", + "issue:5215", + "issue:5281", + "issue:5320", + "issue:5403", + "issue:5408", + "issue:5410", + "issue:5476", + "issue:5956", + "issue:6529", + "issue:6685", + "issue:7061", + "issue:7392", + "issue:7418", + "issue:7454", + "issue:7509", + "issue:8320", + "issue:8440", + "issue:8637" + ], + "soft_pairs": [ + "issue:3658|issue:5403", + "issue:3677|issue:3688", + "issue:3677|issue:5476", + "issue:3693|issue:7061", + "issue:3750|issue:5408", + "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" + ], + "prepared_review_unit_hash": "65dbcc0d4aab70490b08f526d38821671a87d7035bd39cddd10cf0cb5c9b6e1b", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33201, + "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 heterogeneous: it mixes unrelated issues about LoRA, SDXL, pipelines, docs, training scripts, and import/runtime errors. None of the soft pairs appear to be the same underlying bug or change, so there is no good duplicate canonical here.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3658", + "right": "issue:5403", + "accept": false, + "reason": "Different problems: DreamBooth upsampler noise-latent bug vs T2I adapter training script bug." + }, + { + "left": "issue:3677", + "right": "issue:3688", + "accept": false, + "reason": "General Kandinsky feature request vs a specific LoRA/SPDA optimization issue." + }, + { + "left": "issue:3677", + "right": "issue:5476", + "accept": false, + "reason": "Kandinsky support request is unrelated to xformers-based DreamBooth weight loading." + }, + { + "left": "issue:3693", + "right": "issue:7061", + "accept": false, + "reason": "Different doc issues: Kandinsky pipeline docstrings vs imagic community pipeline inference docstring." + }, + { + "left": "issue:3750", + "right": "issue:5408", + "accept": false, + "reason": "KDiffusion LoRA loading support vs a bad-inference report for kohya-style LoRA." + }, + { + "left": "issue:3788", + "right": "issue:7509", + "accept": false, + "reason": "UniControl new-pipeline request is unrelated to ReNoise inversion pipeline work." + }, + { + "left": "issue:3809", + "right": "issue:7418", + "accept": false, + "reason": "DDP stride-mismatch warning vs a bug in a specific community upscale LDM3D script." + }, + { + "left": "issue:3816", + "right": "issue:4456", + "accept": false, + "reason": "Transformers CLIPImageProcessor import error is unrelated to a ModuleList indexing error in LoRA loading." + }, + { + "left": "issue:3946", + "right": "issue:8637", + "accept": false, + "reason": "`from_ckpt` naming complaint vs PixArtSigmaPipeline import failure; different API issues." + }, + { + "left": "issue:3967", + "right": "issue:8320", + "accept": false, + "reason": "SDXL branch-deletion breakage vs `from_single_file` AutoencoderKL `__name__` attribute error." + }, + { + "left": "issue:3986", + "right": "issue:5079", + "accept": false, + "reason": "ShapE mesh-output feature request vs LyCORIS loading support." + }, + { + "left": "issue:4001", + "right": "issue:5320", + "accept": false, + "reason": "README demo link/docs request vs PEFT `fuse_lora` adapter_name API change." + }, + { + "left": "issue:4043", + "right": "issue:5281", + "accept": false, + "reason": "SDXL pooled-embed requirement vs multi-pipeline CPU offload device mismatch." + }, + { + "left": "issue:4069", + "right": "issue:4354", + "accept": false, + "reason": "Textual inversion unload behavior is unrelated to SDXL inpaint type returned by from_single_file." + }, + { + "left": "issue:4071", + "right": "issue:6529", + "accept": false, + "reason": "Inpaint-only+lama support request vs SDXL Fooocus Inpaint feature request." + }, + { + "left": "issue:4171", + "right": "issue:4436", + "accept": false, + "reason": "Docs home-page rendering bug vs CIVITAI safetensors/VAE conversion issue." + }, + { + "left": "issue:4194", + "right": "issue:8440", + "accept": false, + "reason": "Single-file VAE loading issue is not the same as FromOriginalModelMixin subclass ValueError." + }, + { + "left": "issue:4222", + "right": "issue:7392", + "accept": false, + "reason": "Low-resolution LDM training advice vs SDXL multi-aspect-ratio training question." + }, + { + "left": "issue:4241", + "right": "issue:7392", + "accept": false, + "reason": "LoRA fine-tuning support question vs SDXL multi-aspect-ratio training question; only loosely related training topics." + }, + { + "left": "issue:4349", + "right": "issue:5215", + "accept": false, + "reason": "UpscalePipeline missing text_encoder despite prompt_embeds vs dark-image brightness shift in upscale pipeline." + }, + { + "left": "issue:4353", + "right": "issue:5410", + "accept": false, + "reason": "Generic SDXL quality complaint vs blurry latent-upscale behavior; not the same concrete bug." + }, + { + "left": "issue:4354", + "right": "issue:6685", + "accept": false, + "reason": "from_single_file pipeline-type issue vs advanced DreamBooth absolute output_dir path handling." + }, + { + "left": "issue:4363", + "right": "issue:4453", + "accept": false, + "reason": "How to load an SDXL base file vs converting SDXL LoRA to AUTO1111 safetensors; different tasks." + }, + { + "left": "issue:4445", + "right": "issue:7454", + "accept": false, + "reason": "How to finetune a LoRA model vs generic LoRA support request; too broad and not a duplicate." + }, + { + "left": "issue:4468", + "right": "issue:5956", + "accept": false, + "reason": "Multi-GPU sample performance discrepancy vs SD-XL U-Net fine-tuning degradation; different symptoms and 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": 363, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:4504", + "issue:4593", + "issue:4634", + "issue:4638", + "issue:4641", + "issue:4667", + "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:5328", + "issue:5374", + "issue:5429", + "issue:5760", + "issue:5777", + "issue:5783", + "issue:5791", + "issue:5805", + "issue:5905", + "issue:5925", + "issue:5947", + "issue:5972", + "issue:6079", + "issue:6388", + "issue:6412", + "issue:6496", + "issue:6791", + "issue:7177", + "issue:7405", + "issue:770", + "issue:8537", + "issue:8742", + "issue:8771", + "issue:8803", + "issue:8831", + "issue:9101", + "issue:9511" + ], + "soft_pairs": [ + "issue:4504|issue:5328", + "issue:4593|issue:8831", + "issue:4634|issue:4638", + "issue:4641|issue:5328", + "issue:4667|issue:8537", + "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" + ], + "prepared_review_unit_hash": "f8e4aa4c75a8ae3f74281b2aa5f75058c6a1b4dbe1d0213a8fef1396b535aed6", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32782, + "estimated_input_tokens": 8196, + "estimated_eval_tokens": 16648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated; the only commonality is superficial overlap around LoRA/SDXL/training terminology. None of the soft pairs look like true duplicates or the same concrete change.", + "confidence": 0.86, + "canonical_issue_reason": "No single canonical issue fits the whole set: the items span distinct bugs, feature requests, and model-specific failures. If forced to pick a representative, the closest broad theme is LoRA loading, but that still only covers a subset.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong global best issue for the full set. The closest representative is issue:4641 for LoRA loading, but it is not a valid canonical for the entire heterogeneous batch.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4504", + "right": "issue:5328", + "accept": false, + "reason": "Both mention LoRA failures, but one is a specific safetensor state_dict error and the other is a broad Civitai regression report; not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:8831", + "accept": false, + "reason": "Different problems: rank/shape mismatch when loading Automatic1111 LoRAs vs unsupported-layer continuation work." + }, + { + "left": "issue:4634", + "right": "issue:4638", + "accept": false, + "reason": "Custom Diffusion safe serialization and SDXL textual inversion loading are different code paths and failures." + }, + { + "left": "issue:4641", + "right": "issue:5328", + "accept": false, + "reason": "Both involve LoRA loading, but 4641 is local-file LoRA weights and 5328 reports all Civitai LoRAs failing; too broad and not clearly the same defect." + }, + { + "left": "issue:4667", + "right": "issue:8537", + "accept": false, + "reason": "Both use from_single_file, but one is a generic pipeline regression and the other is an SD3 float8 attribute error." + }, + { + "left": "issue:4672", + "right": "issue:9101", + "accept": false, + "reason": "Training VRAM reduction for SDXL LoRA is unrelated to an InstructPix2Pix training script request for SD3." + }, + { + "left": "issue:4675", + "right": "issue:6412", + "accept": false, + "reason": "ControlNet reference-only feature request is unrelated to annotators-to-ONNX." + }, + { + "left": "issue:4681", + "right": "issue:4877", + "accept": false, + "reason": "Transformer positional embeddings and LoRA noise_init_strength are unrelated changes." + }, + { + "left": "issue:4708", + "right": "issue:5061", + "accept": false, + "reason": "Import error in diffusers.utils is unrelated to a convert_original_stable_diffusion_to_diffusers argument error." + }, + { + "left": "issue:4724", + "right": "issue:5081", + "accept": false, + "reason": "Both are SDXL issues, but one is an Img2Img pipeline behavior bug and the other is an LPW tensor shape mismatch." + }, + { + "left": "issue:4764", + "right": "issue:6791", + "accept": false, + "reason": "LoRA loading from an OFT source is unrelated to the SDXL training script failing to run." + }, + { + "left": "issue:5022", + "right": "issue:8771", + "accept": false, + "reason": "An import-time tokenizer name error is not the same as removing LoRAAttnProcessor and breaking downstream dependencies." + }, + { + "left": "issue:5084", + "right": "issue:8742", + "accept": false, + "reason": "Flax SDXL import failure is unrelated to LoRAAttnProcessor2_0 removal." + }, + { + "left": "issue:5128", + "right": "issue:5777", + "accept": false, + "reason": "from_single_file loading for XLPipeline and a PixArt dreambooth training error are different issues." + }, + { + "left": "issue:5138", + "right": "issue:6388", + "accept": false, + "reason": "compute_snr refactor request and gradient-checkpointing being ignored are unrelated training topics." + }, + { + "left": "issue:525", + "right": "issue:770", + "accept": false, + "reason": "Local-disk image loading in a notebook and Colab training startup failure are not the same bug." + }, + { + "left": "issue:5374", + "right": "issue:7177", + "accept": false, + "reason": "Unexpected checkpoint_path argument error is unrelated to StableCascadeDecoderPipeline.from_pretrained failing." + }, + { + "left": "issue:5429", + "right": "issue:6496", + "accept": false, + "reason": "Both touch Dreambooth-related examples, but one is a VAE support feature request and the other is a multi-person example request." + }, + { + "left": "issue:5760", + "right": "issue:7405", + "accept": false, + "reason": "Video-to-audio synthesis work and DynamiCrafter video diffusion are distinct new-model requests." + }, + { + "left": "issue:5783", + "right": "issue:8803", + "accept": false, + "reason": "EMA not working in an SDXL training script is unrelated to a duplicate hidden_states assignment bug." + }, + { + "left": "issue:5791", + "right": "issue:5972", + "accept": false, + "reason": "Dreambooth hyperparameter interaction bug and a training-docs Min-SNR weighting issue are not the same change." + }, + { + "left": "issue:5805", + "right": "issue:6079", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different contexts and do not clearly share the same root cause." + }, + { + "left": "issue:5905", + "right": "issue:5947", + "accept": false, + "reason": "Diffusion-GAN model request and Diffusion-DPO policy discussion are unrelated." + }, + { + "left": "issue:5925", + "right": "issue:9511", + "accept": false, + "reason": "ZipLora multi-LoRA inference and multi-controlnet batching are different feature areas." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "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": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3013", + "nodes": [ + "issue:5977", + "issue:5980", + "issue:6091", + "issue:6092", + "issue:6093", + "issue:6203", + "issue:6240", + "issue:6256", + "issue:6313", + "issue:6388", + "issue:6457", + "issue:6753", + "issue:7112", + "issue:7220", + "issue:7438", + "issue:7440", + "issue:7469", + "issue:7798", + "issue:7836", + "issue:7841", + "issue:7871", + "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:9674", + "issue:9873", + "issue:9974" + ], + "soft_pairs": [ + "issue:5977|issue:6093", + "issue:5980|issue:6093", + "issue:6091|issue:6753", + "issue:6092|issue:9674", + "issue:6203|issue:6388", + "issue:6240|issue:7871", + "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": "4d8190fb89cbca0295ac88ca8ccadc6848c8e94500eb625e0b8989f2dcea514c", + "component_budget": { + "node_count": 3013, + "item_count": 3013, + "soft_pair_count": 8927, + "serialized_chars": 4763681, + "estimated_input_tokens": 1190921, + "estimated_eval_tokens": 2382098 + }, + "budget": { + "node_count": 42, + "item_count": 42, + "soft_pair_count": 22, + "serialized_chars": 29249, + "estimated_input_tokens": 7313, + "estimated_eval_tokens": 14882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose theme cluster around diffusion/pipeline/training topics, but the soft pairs are mostly unrelated or only share a broad subsystem name. I found no true duplicate pair to merge.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a clear duplicate target; the set spans unrelated bugs, feature requests, and model-specific training questions.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8540 is the broadest open SD3 training follow-up in the set, but it still does not subsume the other issues as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5977", + "right": "issue:6093", + "accept": false, + "reason": "Different LoRA save-file keys vs push_to_hub repo-creation behavior; unrelated bugs." + }, + { + "left": "issue:5980", + "right": "issue:6093", + "accept": false, + "reason": "ControlNet checkpoint format question vs SDXL LoRA hub-push issue; different topics." + }, + { + "left": "issue:6091", + "right": "issue:6753", + "accept": false, + "reason": "Consistency decoder memory with size argument vs VAE configuration problem; not the same code path." + }, + { + "left": "issue:6092", + "right": "issue:9674", + "accept": false, + "reason": "LoRA example not training vs SD3 controlnet poor results; different failure modes and models." + }, + { + "left": "issue:6203", + "right": "issue:6388", + "accept": false, + "reason": "SDXL ControlNet image-size conditioning question vs gradient checkpointing being ignored in SDXL-LoRA; unrelated." + }, + { + "left": "issue:6240", + "right": "issue:7871", + "accept": false, + "reason": "AutoPipeline device_map error vs blockwise scales error in a specific SDXL LoRA example; different bugs." + }, + { + "left": "issue:6256", + "right": "issue:7962", + "accept": false, + "reason": "Both are pipeline feature requests, but for different APIs and call signatures; not the same change." + }, + { + "left": "issue:6313", + "right": "issue:9873", + "accept": false, + "reason": "Null-Text Inversion pipeline implementation vs OmniGen pipeline addition; different pipelines and scope." + }, + { + "left": "issue:6457", + "right": "issue:8543", + "accept": false, + "reason": "Multi-GPU gradient accumulation for SDXL-LoRA vs SD3 dreambooth gradient checkpointing failure; distinct training issues." + }, + { + "left": "issue:7112", + "right": "issue:7440", + "accept": false, + "reason": "IP-Adapter image embed dimension issue vs dataset availability problem; unrelated." + }, + { + "left": "issue:7220", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter in inpaint pipelines, but the reported errors are different and likely from different code paths." + }, + { + "left": "issue:7438", + "right": "issue:8645", + "accept": false, + "reason": "XPU generation stall vs missing create_diffusers_controlnet_model_from_ldm helper; unrelated." + }, + { + "left": "issue:7469", + "right": "issue:9220", + "accept": false, + "reason": "AutoPipeline parameter naming issue vs PAG pipeline undefined variable; different pipelines and bugs." + }, + { + "left": "issue:7798", + "right": "issue:7836", + "accept": false, + "reason": "PixArtAlpha pipeline bug vs CLIP training overfitting example; no overlap." + }, + { + "left": "issue:7841", + "right": "issue:8731", + "accept": false, + "reason": "Red-dot rendering artifact vs batched generation slowness; different symptoms." + }, + { + "left": "issue:8320", + "right": "issue:9477", + "accept": false, + "reason": "from_single_file AutoencoderKL __name__ error vs GatheredParameters callable error; unrelated." + }, + { + "left": "issue:8485", + "right": "issue:8540", + "accept": false, + "reason": "SD3 LoRA support request vs SD3 dreambooth caching/representation optimization; related theme, but not the same fix." + }, + { + "left": "issue:8500", + "right": "issue:8534", + "accept": false, + "reason": "SD3 token-limit question vs wrong logit-normal weighting in SD3 dreambooth; different problems." + }, + { + "left": "issue:8504", + "right": "issue:8540", + "accept": false, + "reason": "Choosing SD3 text encoders vs caching SD3 embeddings/VAE outputs; separate training features." + }, + { + "left": "issue:8546", + "right": "issue:8649", + "accept": false, + "reason": "Missing from-single-file support vs num_images_per_prompt regression; unrelated SD3 issues." + }, + { + "left": "issue:9032", + "right": "issue:9039", + "accept": false, + "reason": "FlaxStableDiffusionPipeline TPU/MWE setup vs Flax LoRA loading; different user needs and code paths." + }, + { + "left": "issue:9069", + "right": "issue:9974", + "accept": false, + "reason": "Numpy type error vs SD3 ControlNet parameter expectations; 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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": "cache", + "cache_hit": true, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Mostly a heterogeneous cluster of unrelated or only loosely related PRs. The only clear duplicate-like overlap is the Flux IP-Adapter pair; the rest are same-issue follow-ups across different files/pipelines or broader refactors, so I rejected them.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "10261 is the cleanest merged representative of the Flux IP-Adapter change; 9787 appears to be the overlapping draft/partial version of the same feature work.", + "best_issue_reason": null, + "best_pr_reason": "10498 is the broadest umbrella item in the set (PyTorch/XLA support across many pipelines), so it is the best single representative overall even though the cluster is not a single duplicate family.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10261", + "right": "pull_request:9787", + "accept": true, + "reason": "Same Flux IP-Adapter feature, same file set, same issue target; this looks like the same underlying change, with 9787 being the overlapping draft/partial version." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9386", + "accept": false, + "reason": "Same issue target, but these add PAG support for different pipeline variants; related feature work, not the same concrete code path." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6556", + "accept": false, + "reason": "Both are torch.compile-related training-script tweaks, but they touch different scripts and fixes, so they are not the same change." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11463", + "accept": false, + "reason": "Both switch interpolation defaults, but they are separate training scripts and not the same concrete code-path fix." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9724", + "accept": false, + "reason": "Both are docstring/refactor work in training utilities, but they are not the same change or bug fix." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11492", + "accept": false, + "reason": "Same general interpolation theme, but different scripts and implementations; this is broader follow-up work, not a duplicate." + }, + { + "left": "pull_request:5286", + "right": "pull_request:5478", + "accept": false, + "reason": "The first is an initial Japanese docs page, the second is the fuller docs enablement; related but not the same underlying change." + }, + { + "left": "pull_request:10365", + "right": "pull_request:10498", + "accept": false, + "reason": "10498 is a broader XLA sweep across many pipelines, while 10365 is a single-pipeline addition; related but not duplicate enough." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9608", + "accept": false, + "reason": "Different files and cleanup areas; both are documentation/validation refactors, not the same bug or change." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5535", + "accept": false, + "reason": "Both optimize tests, but they are separate test-configuration edits rather than the same underlying fix." + }, + { + "left": "pull_request:10364", + "right": "pull_request:10498", + "accept": false, + "reason": "10498 subsumes XLA support across multiple pipelines, but 10364 is a distinct single-pipeline patch, so they are not the same PR-level change." + }, + { + "left": "pull_request:7442", + "right": "pull_request:7550", + "accept": false, + "reason": "One is a research-project README/implementation, the other is a community pipeline; same theme, different artifacts and code paths." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7030", + "accept": false, + "reason": "These cover different parts of IP-Adapter support for the same pipeline; one adds support, the other weight-loading integration, so they are complementary not duplicates." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7031", + "accept": false, + "reason": "Same as above: related IP-Adapter work on the same pipeline, but not the same concrete code change." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9815", + "accept": false, + "reason": "Both touch training-utils docstrings, but 9815 is a separate refactor pass with different edits." + }, + { + "left": "pull_request:11251", + "right": "pull_request:12400", + "accept": false, + "reason": "Both concern SD3 multi-controlnet support, but one is constructor/setup work and the other is runtime handling; related but not identical." + }, + { + "left": "pull_request:9659", + "right": "pull_request:9843", + "accept": false, + "reason": "One adds SD3 Img2Img LoRA support, the other is a test fix; not the same underlying change." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12698", + "accept": false, + "reason": "12698 is a broad batch-normalization sweep across several pipelines, not the same concrete Qwen-Image-Edit fix as 12467." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9815", + "accept": false, + "reason": "Both are docstring cleanups in utility code, but they are separate refactors with different scope." + }, + { + "left": "pull_request:4855", + "right": "pull_request:4927", + "accept": false, + "reason": "4927 is a temporary revert of 4855, not a duplicate implementation of the same fix." + }, + { + "left": "pull_request:10568", + "right": "pull_request:10570", + "accept": false, + "reason": "Both change GPU CI tokens in the same workflow, but they target different jobs and are not the same code-path fix." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation theme, but applied to different training scripts; too broad to treat as a duplicate." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12897", + "accept": false, + "reason": "12897 is a broader NPU pos-embed rewrite across multiple transformer models, so it is not the same single-file change as 12534." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11455", + "accept": false, + "reason": "Both add lanczos defaults, but they are separate script updates rather than the same underlying PR." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11465", + "accept": false, + "reason": "Same as above: same theme, different training script and patch." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11492", + "accept": false, + "reason": "Same default-interpolation theme, but different scripts and different patch details." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9608", + "accept": false, + "reason": "Different utility/documentation refactors; not the same bug or change." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation sweep, but separate scripts and distinct edits." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11471", + "accept": false, + "reason": "Both are script-specific interpolation defaults, not the same concrete patch." + }, + { + "left": "pull_request:5744", + "right": "pull_request:5748", + "accept": false, + "reason": "Both are docs typo sweeps, but they cover different page sets and are not the same change." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9724", + "accept": false, + "reason": "Different utility/docstring edits in different files; not the same underlying issue." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8987", + "accept": false, + "reason": "These are test coverage additions for different model families, so they are unrelated beyond being test PRs." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8987", + "accept": false, + "reason": "Different model test additions; same broad area, but not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and avoids overstating duplicates. The single accepted Flux IP-Adapter pair is well supported by the overlapping file set and shared feature target, while the other pairs are conservatively rejected as same-theme but different concrete changes or broader follow-ups. The representative PR choices are also reasonable for this heterogeneous cluster." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 2, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is heterogeneous and appears to contain many superficial similarity matches rather than true duplicates. The soft edges mostly connect PRs that share a filename or broad theme but implement different fixes, scripts, or even reversions. I would not consolidate them into a single canonical change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out: the cluster spans unrelated areas (Flux LoRA, test infra, DreamBooth interpolation, LTX single-file support, docs, Docker, and revert PRs), so it is not a true duplicate group.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for duplicate triage; the items do not describe one underlying bug or change, so selecting a representative PR would be misleading.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11395", + "right": "pull_request:11472", + "accept": false, + "reason": "Same narrow theme (image interpolation defaults) but different training scripts/files and separate changes, so not the same PR-worthy fix." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11491", + "accept": false, + "reason": "Both add LANCZOS interpolation options, but they target different scripts and code paths; not mergeable as one duplicate fix." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11491", + "accept": false, + "reason": "Different SDXL LoRA script vs Lumina2 DreamBooth LoRA script; similar pattern but distinct changes, not one underlying bug." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11472", + "accept": false, + "reason": "Both are interpolation-mode additions, but for different pipelines/scripts and separate implementations." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11472", + "accept": false, + "reason": "Same general resizing-option theme, but the scripts and affected training flows are different." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9591", + "accept": false, + "reason": "Both are documentation PRs, but they update different docs and cover unrelated model docs content." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6558", + "accept": false, + "reason": "Both add torch.compile compatibility, but for different training scripts and distinct code paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6576", + "accept": false, + "reason": "Same broad compile-compat theme, but this is a different InstructPix2Pix SDXL script and not the same fix." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8239", + "accept": false, + "reason": "Both touch examples/community README, but they add different community pipelines with unrelated implementations." + }, + { + "left": "pull_request:8630", + "right": "pull_request:8755", + "accept": false, + "reason": "Both concern SD3 DreamBooth LoRA, but one adds text-encoder training and the other fixes that feature; not the same change." + }, + { + "left": "pull_request:11271", + "right": "pull_request:11578", + "accept": false, + "reason": "Both edit single_file_utils for LTX models, but they target different model versions and different loading failures." + }, + { + "left": "pull_request:9817", + "right": "pull_request:9896", + "accept": false, + "reason": "This is a change versus its explicit revert; they are opposites, not duplicates." + }, + { + "left": "pull_request:7113", + "right": "pull_request:7117", + "accept": false, + "reason": "Both add Slack notifications, but one is for Docker CI and the other for nightly tests; different workflows and purposes." + }, + { + "left": "pull_request:4536", + "right": "pull_request:4910", + "accept": false, + "reason": "Both are inpainting docs, but one adds a full example and the other fixes a typo in that example; not the same underlying change." + }, + { + "left": "pull_request:12856", + "right": "pull_request:12857", + "accept": false, + "reason": "These are related Z-Image implementation PRs, but one adds docs and the other adds the actual pipeline/model code; not one duplicate fix." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9706", + "accept": false, + "reason": "Both are documentation-only PRs, but they cover different modules and unrelated content edits." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10578", + "accept": false, + "reason": "Both touch LoRA loading, but one is for Flux regular LoRAs and the other for 4-bit quantized Flux models; different concrete bugs." + }, + { + "left": "pull_request:456", + "right": "pull_request:533", + "accept": false, + "reason": "This is a type-hint addition and its later revert; opposite changes, not duplicates." + }, + { + "left": "pull_request:8755", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are SD3 DreamBooth LoRA changes, but one is a bug-fix follow-up around text encoder training and the other adds latent caching/small updates." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12451", + "accept": false, + "reason": "Both modify the doc-builder Dockerfile, but they add different packages for different needs and are not the same change." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but they apply to different training scripts and code paths." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7898", + "accept": false, + "reason": "Both reduce test model size, but they target different tests and different model architectures." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7898", + "accept": false, + "reason": "Different tests and different fast-test reductions; only broad theme matches." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7898", + "accept": false, + "reason": "These are separate test-size reductions for different pipelines, not one underlying bug." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7898", + "accept": false, + "reason": "Different pipeline test adjustments; the similarity is only that they shrink fast tests." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7898", + "accept": false, + "reason": "Same broad test-optimization theme, but different model/test code and no shared concrete fix." + }, + { + "left": "pull_request:10437", + "right": "pull_request:10508", + "accept": false, + "reason": "Both make tests more device-agnostic, but they are separate test-maintenance PRs with different file sets and changes." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11492", + "accept": false, + "reason": "Both set LANCZOS defaults, but they target different DreamBooth training scripts and are distinct changes." + }, + { + "left": "pull_request:2602", + "right": "pull_request:3633", + "accept": false, + "reason": "Both pin huggingface-hub in setup.py, but they are different version tests with no shared underlying bug." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9346", + "accept": false, + "reason": "Both are CI/test fixes, but they affect different model/test classes and solve different 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": 265, + "review_unit_index": 3, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is mostly heterogeneous: several unrelated docs, test-size reduction, and training-script interpolation tweaks are mixed together. The only clear duplicate-like subgroup is the textual inversion checkpoint-saving PRs (643/644/645), which are iterations of the same feature change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 645 is the cleanest representative: it is the finalized merged version of the textual-inversion checkpoint-saving feature, whereas 643/644 are earlier WIP variants.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the best overall anchor because it is the completed, merged implementation of the only true duplicate cluster in this set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9353", + "right": "pull_request:9598", + "accept": false, + "reason": "Both touch Flux LoRA tests, but one adds integration coverage and the other only adds a version note; different changes, not the same bugfix." + }, + { + "left": "pull_request:5674", + "right": "pull_request:5720", + "accept": false, + "reason": "Both are docs-only, but they edit different documentation scopes and are not the same underlying change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7865", + "accept": false, + "reason": "Both reduce fast-test model sizes, but they apply to different pipelines and independent test fixtures." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7865", + "accept": false, + "reason": "Different pipelines and different test updates; same general pattern, but not the same change." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7865", + "accept": false, + "reason": "These are separate fast-test reductions for different Amused/Dance codepaths, not one mergeable fix." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7865", + "accept": false, + "reason": "AudioLDM test shrink vs Dance Diffusion test shrink are distinct changes in different files." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7865", + "accept": false, + "reason": "Different test targets and model configs; not the same concrete fix." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11449", + "accept": false, + "reason": "Both add lanczos interpolation options, but they change different training scripts and are separate feature ports." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11491", + "accept": false, + "reason": "Same broad interpolation theme, but different scripts/codepaths; not one PR-worthy duplicate." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9714", + "accept": false, + "reason": "Both refactor docs/docstrings, but they are for different model files and unrelated edits." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4216", + "accept": false, + "reason": "Same inpaint pipeline area, but one adds the pipeline and the other changes timestep handling; different changes." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9646", + "accept": false, + "reason": "Both involve Dreambooth Flux, but they fix different features: prompt/tokenization alignment vs configurable target modules." + }, + { + "left": "pull_request:643", + "right": "pull_request:644", + "accept": true, + "reason": "Same textual inversion checkpoint-saving feature: both add periodic learned_embeds.bin saving in the same training script, with 644 appearing to refine 643." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9715", + "accept": false, + "reason": "Different docstring refactors in different source files; same style, not same change." + }, + { + "left": "pull_request:643", + "right": "pull_request:645", + "accept": true, + "reason": "Same underlying textual inversion save-checkpoints change; 645 is the finalized version of 643's WIP feature." + }, + { + "left": "pull_request:11472", + "right": "pull_request:11492", + "accept": false, + "reason": "Both add lanczos defaults, but they target different advanced training scripts and are separate ports." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation-default theme, but different training scripts and codepaths." + }, + { + "left": "pull_request:9646", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are Dreambooth/SD3 follow-up changes, but they address different model features and bugfixes." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9598", + "accept": false, + "reason": "One adds Flux LoRA integration tests while the other only annotates test-version requirements; not the same fix." + }, + { + "left": "pull_request:5027", + "right": "pull_request:5407", + "accept": false, + "reason": "Both touch unconditional training, but one fixes mixed precision behavior and the other changes dtype handling for a related example update." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11490", + "accept": false, + "reason": "Same lanczos interpolation theme, but different SDXL/Dreambooth script changes and separate implementations." + }, + { + "left": "pull_request:7679", + "right": "pull_request:7697", + "accept": false, + "reason": "Both adjust PEFT installation in CI, but they modify different workflows and are not the same concrete change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6171", + "accept": false, + "reason": "Same advanced SDXL script, but one improves help text and the other changes save-model-card behavior; not duplicates." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9355", + "accept": false, + "reason": "One changes fast GPU test behavior and the other adds workflow_dispatch; unrelated CI edits." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11737", + "accept": false, + "reason": "Both are training-script DS-support changes, but for different models and different save hooks." + }, + { + "left": "pull_request:1488", + "right": "pull_request:942", + "accept": false, + "reason": "Both address MPS dtype issues, but they patch different schedulers/models and are separate codepaths." + }, + { + "left": "pull_request:6380", + "right": "pull_request:8675", + "accept": false, + "reason": "Both edit the fast-diffusion doc, but they add different notes and are not the same change." + }, + { + "left": "pull_request:4155", + "right": "pull_request:4188", + "accept": false, + "reason": "Same SDXL ControlNet area, but one is a pipeline follow-up and the other is a training-cache fingerprint fix." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7233", + "accept": false, + "reason": "Different changes to the same advanced SDXL script: help text vs adding DoRA support." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the soft-edge pairs. The only clearly duplicate-like subgroup is the textual inversion checkpoint-saving trio, and the accepted pairs there are defensible as mergeable variants of the same feature/fix. The other verdicts appropriately treat similar-but-distinct docs, test reductions, interpolation ports, and training-script changes as non-duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 4, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 cluster is mostly a mix of unrelated PRs that only share broad themes or filenames. The only clear duplicate-style pair is the Wan 2.1 feature PR and its follow-up continuation (#10921/#10922).", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "#10922 is the merged, completed follow-up to the WIP Wan 2.1 support work in #10921, so it is the best canonical PR for the only true duplicate-style pair here.", + "best_issue_reason": null, + "best_pr_reason": "#10922 is the strongest representative PR overall: merged, complete, and the natural continuation of the same Wan 2.1 support change started in #10921.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8773", + "right": "pull_request:8774", + "accept": false, + "reason": "Same feature area, but one is a revert and the other introduces the mixin; they are opposite changes, not duplicates." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9353", + "accept": false, + "reason": "Both add Flux LoRA tests, but they cover different test scenarios and are not the same underlying change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7235", + "accept": false, + "reason": "Help-text cleanup versus adding DoRA training support; different changes in the same script." + }, + { + "left": "pull_request:11670", + "right": "pull_request:11776", + "accept": false, + "reason": "Both are torch.compile-related tests, but they target different failure modes and are not the same code-path fix." + }, + { + "left": "pull_request:8774", + "right": "pull_request:8976", + "accept": false, + "reason": "Same mixin story, but one is a revert of the prior change and the other is the reintroduction/rework; not a duplicate change." + }, + { + "left": "pull_request:6464", + "right": "pull_request:6599", + "accept": false, + "reason": "Both touch the same advanced DreamBooth LoRA script, but they fix different bugs." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11455", + "accept": false, + "reason": "Same interpolation-mode idea, but applied to different training scripts; not the same concrete PR." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11465", + "accept": false, + "reason": "Same as above: same pattern, different script and code path." + }, + { + "left": "pull_request:3419", + "right": "pull_request:3642", + "accept": false, + "reason": "Different community pipelines (img2img vs inpainting), so not the same underlying change." + }, + { + "left": "pull_request:5720", + "right": "pull_request:5744", + "accept": false, + "reason": "Both are docs cleanup PRs, but they update different pages and are not the same change." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11588", + "accept": false, + "reason": "Both concern Wan LoRA support, but they implement different mechanisms in different parts of the LoRA pipeline." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12269", + "accept": false, + "reason": "Both are modular Flux work, but one adds I2I support and the other adds Flux Kontext support; not mergeable as one change." + }, + { + "left": "pull_request:10288", + "right": "pull_request:10991", + "accept": false, + "reason": "Single-file support for different models (Flux vs Wan); same area, different feature." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11471", + "accept": false, + "reason": "Both set LANCZOS defaults, but in different training scripts and with different surrounding fixes." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3472", + "accept": false, + "reason": "Both add docs entries, but for unrelated training topics and pages." + }, + { + "left": "pull_request:2734", + "right": "pull_request:3169", + "accept": false, + "reason": "Both edit Habana docs, but they update different version/benchmark details rather than the same change." + }, + { + "left": "pull_request:377", + "right": "pull_request:388", + "accept": false, + "reason": "Related latent diffusion docs, but one is conditional and the other unconditional; different pages and artifacts." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7182", + "accept": false, + "reason": "Different enhancements to the same script: one adds a variant arg, the other adds EDM-style training." + }, + { + "left": "pull_request:8230", + "right": "pull_request:9207", + "accept": false, + "reason": "Both discuss CPU offloading usage, but they update different docs/examples and are not the same bug fix." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9775", + "accept": false, + "reason": "Unrelated README/doc updates; no shared underlying change." + }, + { + "left": "pull_request:8986", + "right": "pull_request:9005", + "accept": false, + "reason": "Both are CI runner/workflow updates, but they change different workflow configurations." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9707", + "accept": false, + "reason": "Docstring refactors in different files; not the same underlying change." + }, + { + "left": "pull_request:10921", + "right": "pull_request:10922", + "accept": true, + "reason": "Direct continuation of the same Wan 2.1 support work; #10922 completes the WIP implementation from #10921 and could plausibly be one PR." + }, + { + "left": "pull_request:676", + "right": "pull_request:677", + "accept": false, + "reason": "Both are resnet.py cleanups, but they are separate refactors rather than the same concrete bug or feature change." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6555", + "accept": false, + "reason": "Both address torch.compile compatibility, but for different training scripts and different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge verdicts stay conservative overall. The only accepted pair, #10921/#10922, does look like a split implementation of the same Wan 2.1 support work that could plausibly be merged into one PR. No soft-edge reason overstates 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": 265, + "review_unit_index": 5, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "The soft-edge candidates are mostly unrelated incremental PRs within the same repo areas, not duplicate fixes. I would reject all pairings; several are even opposite changes or different model/version releases rather than the same underlying bug/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:10508", + "right": "pull_request:11058", + "accept": false, + "reason": "Both are test/device-agnosticity work, but one targets XPU test support while the other changes textual inversion offload device handling; different bugs and code paths." + }, + { + "left": "pull_request:2479", + "right": "pull_request:2588", + "accept": false, + "reason": "One adds LoRA support for the CLIP text encoder in a training script; the other adds a research-project LoRA example and README. Not the same change." + }, + { + "left": "pull_request:424", + "right": "pull_request:509", + "accept": false, + "reason": "One tweaks a reproducibility assertion and dataset loading in tests; the other adds a shared image-loading helper. Related area, but not the same bug." + }, + { + "left": "pull_request:6884", + "right": "pull_request:7189", + "accept": false, + "reason": "Both touch IP-Adapter behavior, but one validates scale length while the other fixes embed repetition for plus adapters. Separate issues." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12095", + "accept": false, + "reason": "These are different LTX model releases/feature sets (0.9.7 vs 0.9.8), not duplicate fixes." + }, + { + "left": "pull_request:2677", + "right": "pull_request:4946", + "accept": false, + "reason": "Both are docs updates, but one adds ControlNet training docs and the other adds T2I-Adapter overview entries. Different documentation topics." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5914", + "accept": false, + "reason": "One is an SDXL inference bug fix; the other is a DreamBooth LoRA README template cleanup. Not the same underlying problem." + }, + { + "left": "pull_request:4481", + "right": "pull_request:5979", + "accept": false, + "reason": "Different model families entirely: EDM pipeline/scheduler vs DDGAN pipeline/scheduler. Do not merge as duplicates." + }, + { + "left": "pull_request:5097", + "right": "pull_request:5172", + "accept": false, + "reason": "Both adjust tests, but one is float16 fast-test tolerances and the other is LoRA/CUDA test fixes. No shared concrete bug." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9400", + "accept": false, + "reason": "One makes tests XPU-aware; the other updates single-file pipeline tests to pass an explicit device. Different test infrastructure changes." + }, + { + "left": "pull_request:4188", + "right": "pull_request:4223", + "accept": false, + "reason": "Same training script, but one fixes dataset fingerprinting during embedding caching and the other adjusts prompt/auth handling. Distinct fixes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7182", + "accept": false, + "reason": "One improves help text for custom captions; the other adds EDM-style training support. Different scope and intent." + }, + { + "left": "pull_request:12170", + "right": "pull_request:12790", + "accept": false, + "reason": "Both are LoRA conversion changes, but for different model ecosystems and key-normalization problems (Qwen vs ZImage). Not the same code-path issue." + }, + { + "left": "pull_request:3707", + "right": "pull_request:3711", + "accept": false, + "reason": "The second PR reverts the first; they are opposite changes, not duplicates." + }, + { + "left": "pull_request:4237", + "right": "pull_request:4238", + "accept": false, + "reason": "Both touch ControlNet SDXL, but one fixes prompt embedding dtype and the other fixes CPU offload sequencing. Separate bugs." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6035", + "accept": false, + "reason": "Same file, but one adds a variant argument while the other improves help text for custom captions. Not the same change." + }, + { + "left": "pull_request:12236", + "right": "pull_request:12439", + "accept": false, + "reason": "One adds FlashAttention-3 hub-kernel support; the other adds sage attention plus FA2 support through kernels. Different backend integrations." + }, + { + "left": "pull_request:1846", + "right": "pull_request:3297", + "accept": false, + "reason": "The first is a WIP retriever/RDM architecture PR; the second is a concrete RDM example pipeline. Different maturity and purpose." + }, + { + "left": "pull_request:10288", + "right": "pull_request:10781", + "accept": false, + "reason": "Different model support: Flux single-file support vs Lumina single-file/GGUF support. Not the same underlying feature." + }, + { + "left": "pull_request:1927", + "right": "pull_request:2487", + "accept": false, + "reason": "Both are docs PRs, but one imports a Stable Diffusion guide and the other adds a JAX/Flax guide. Unrelated content." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6566", + "accept": false, + "reason": "Same advanced DreamBooth file, but one is help-tag/documentation cleanup and the other fixes training resume state handling. Different bugs." + }, + { + "left": "pull_request:6528", + "right": "pull_request:7413", + "accept": false, + "reason": "Both mention IP-Adapter, but one fixes ControlNet img2img missing code and the other updates an AnimateDiff community pipeline. Different code paths." + }, + { + "left": "pull_request:7166", + "right": "pull_request:8926", + "accept": false, + "reason": "Both are DreamBooth LoRA SDXL fixes, but one corrects loading state and the other fixes checkpoint saving. Not the same bug." + }, + { + "left": "pull_request:10298", + "right": "pull_request:9083", + "accept": false, + "reason": "One adds LTX GGUF/single-file support; the other adds Flux transformer single-file support. Different models and loaders." + }, + { + "left": "pull_request:12272", + "right": "pull_request:12566", + "accept": false, + "reason": "One fixes Flux modular pipeline height/width propagation; the other adds tests for Flux modular pipelines. Test coverage is not the same fix." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6035", + "accept": false, + "reason": "One fixes a DreamBooth SDXL README template; the other improves advanced DreamBooth help text. Different documentation tweaks, 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": 265, + "review_unit_index": 6, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 cluster is mostly a grab bag of unrelated docs, CI, test, loader, and training changes. The only close duplicate-style pattern in the packet is the AuraFlow docstring refactor pair 9714/9715, but that exact pair is not one of the provided soft-edge candidates; the 9593 links are a different hd_painter docstring cleanup, so all provided soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR; the cluster is heterogeneous, and the likely duplicate-style AuraFlow pair (9714/9715) is not among the supplied soft-edge candidates.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR. The packet\u2019s closest duplicate-style match is AuraFlow 9714/9715, but the candidate edges only involve 9593, which is a separate hd_painter docstring refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6119", + "right": "pull_request:7018", + "accept": false, + "reason": "Both are LoRA/training fixes, but they address different bugs in different scripts and are not the same change." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11292", + "accept": false, + "reason": "Same loader utility, but one adds Flux/ComfyUI LoRA support and the other fixes SDXL SGM-vs-UNet key handling; different code-path problems." + }, + { + "left": "pull_request:10179", + "right": "pull_request:10199", + "accept": false, + "reason": "One is doc/example cleanup, the other adds eta decay behavior in the RF inversion pipeline; not the same fix." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9255", + "accept": false, + "reason": "Both touch the workflow file, but one changes a secret and the other changes branch triggers; unrelated CI edits." + }, + { + "left": "pull_request:1194", + "right": "pull_request:1307", + "accept": false, + "reason": "This is a docs-workflow update versus its revert, not the same underlying change." + }, + { + "left": "pull_request:3633", + "right": "pull_request:5175", + "accept": false, + "reason": "Different concerns: dependency pinning in setup.py versus setting HF_HOME in CI." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5906", + "accept": false, + "reason": "Different files and bugs: SDXL attention logic versus a DreamBooth README/template doc fix." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6556", + "accept": false, + "reason": "Both are training scripts, but for different model families and different feature changes; not mergeable as one PR." + }, + { + "left": "pull_request:6523", + "right": "pull_request:6848", + "accept": false, + "reason": "Same LCM distillation area, but one fixes guidance embeddings and the other fixes target U-Net initialization." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6589", + "accept": false, + "reason": "Both are torch.compile-related, but they fix different scripts and different failure points." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9714", + "accept": false, + "reason": "Different docstring refactors in different files; 9593 is hd_painter, while 9714 is AuraFlow." + }, + { + "left": "pull_request:6119", + "right": "pull_request:6402", + "accept": false, + "reason": "Both are LoRA training script changes, but they fix different bugs: fp16 unscale versus ignored gradient checkpointing." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6526", + "accept": false, + "reason": "Same broad torch.compile theme, but different training scripts and different bugs." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12909", + "accept": false, + "reason": "Both mention parallelism, but they fix different model code paths in different transformers." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9715", + "accept": false, + "reason": "Different docstring cleanup PRs in different files; 9593 is unrelated to the AuraFlow transformer refactor." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9401", + "accept": false, + "reason": "Both are device-agnostic test work, but they target different test suites and code paths." + }, + { + "left": "pull_request:10508", + "right": "pull_request:9400", + "accept": false, + "reason": "Related testing cleanup, but one is accelerator-aware model tests and the other is single-file pipeline tests." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9355", + "accept": false, + "reason": "Same workflow file, but one updates a token secret and the other adds workflow_dispatch; unrelated changes." + }, + { + "left": "pull_request:3795", + "right": "pull_request:4607", + "accept": false, + "reason": "Both are docs PRs, but they add different overview entries and touch different features." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6795", + "accept": false, + "reason": "Different DreamBooth/SDXL changes: variant support versus micro-conditioning." + }, + { + "left": "pull_request:6279", + "right": "pull_request:6523", + "accept": false, + "reason": "Same LCM distillation scripts, but they fix different bugs in different parts of the training flow." + }, + { + "left": "pull_request:6588", + "right": "pull_request:6757", + "accept": false, + "reason": "One updates a slow-test expectation; the other changes the pipeline implementation to move sigmas to device." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7258", + "accept": false, + "reason": "Different fixes in the same script: a validation kwarg versus model-card/save-card text changes." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9401", + "accept": false, + "reason": "Both are device-agnostic test efforts, but they cover different test scopes and files." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5608", + "accept": false, + "reason": "Different LoRA/PEFT bugs: xformers attention handling versus empty network-alpha dict handling." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7235", + "accept": false, + "reason": "Different SDXL DreamBooth changes: DDP+PEFT compatibility versus DoRA training support." + }, + { + "left": "pull_request:5508", + "right": "pull_request:6021", + "accept": false, + "reason": "Different SDXL training-script additions: new training features versus variant support." + }, + { + "left": "pull_request:10298", + "right": "pull_request:8819", + "accept": false, + "reason": "Both add from_single_file support, but for different model families and loaders, so they are not the same change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is not fully grounded in the packet: it misidentifies the only duplicate-style pair as AuraFlow docstring refactors, but the packet shows the AuraFlow pair is 9714/9715, while 9593 is a different hd_painter docstring PR. The soft-edge verdict `9593` vs `9715` is therefore overstated and not conservative. Because of that incorrect accept, I can\u2019t accept the evaluation." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 7, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Mostly a noisy thematic cluster with several unrelated PRs. I only see two true duplicate-style pairs: the HiDream license header fix and the PAG ControlNet Img2Img pipeline addition. Everything else is the same broad area but a different script, model, or follow-up fix, so I rejected them.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9917 is the clearest representative of the one concrete duplicate-like feature subgroup (PAG ControlNet Img2Img); the rest of the set is too heterogeneous for a single cluster-wide canonical.", + "best_issue_reason": null, + "best_pr_reason": "PR 9917 is the best single PR representative among the near-duplicate candidates because it names the exact pipeline and is the most directly aligned with a concrete code-path change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6525", + "right": "pull_request:6589", + "accept": false, + "reason": "Same general torch.compile theme, but different training scripts and save hooks; not the same concrete fix." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10298", + "accept": false, + "reason": "Both are single-file support PRs, but for different models (AutoencoderDC vs Mochi Transformer)." + }, + { + "left": "pull_request:11426", + "right": "pull_request:12407", + "accept": false, + "reason": "Different scripts and goals: interpolation-mode follow-up vs UV compatibility docs/packaging update." + }, + { + "left": "pull_request:11427", + "right": "pull_request:12407", + "accept": false, + "reason": "Different scripts and goals: interpolation-mode follow-up vs UV compatibility docs/packaging update." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11472", + "accept": false, + "reason": "Same interpolation idea, but different training scripts and model families; not one duplicate bug/change." + }, + { + "left": "pull_request:1418", + "right": "pull_request:2336", + "accept": false, + "reason": "Both are Versatile Diffusion test fixes, but they touch different test data/content and are not the same change." + }, + { + "left": "pull_request:1898", + "right": "pull_request:2154", + "accept": false, + "reason": "2154 is a typo fix within the env-version feature added by 1898, not the same underlying PR/change." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6035", + "accept": false, + "reason": "Different Dreambooth LoRA changes in the same script area, but separate features/help text updates." + }, + { + "left": "pull_request:4946", + "right": "pull_request:4947", + "accept": false, + "reason": "One updates docs and the other adds tests; not the same concrete bug or code-path change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7467", + "accept": false, + "reason": "Different training-script enhancements (help text vs tag shuffling/drop) in the same subsystem." + }, + { + "left": "pull_request:6875", + "right": "pull_request:6960", + "accept": false, + "reason": "Both are IP-Adapter test edits, but one adjusts expected values and the other marks flakiness; not duplicates." + }, + { + "left": "pull_request:8810", + "right": "pull_request:9917", + "accept": true, + "reason": "Same concrete feature: adding StableDiffusionControlNetPAGImg2ImgPipeline support; 9917 is essentially the same pipeline addition in a newer/broader PR." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9917", + "accept": false, + "reason": "Related PAG ControlNet Img2Img work, but 8864 is a broader/open variant and not the same exact PR change as 9917." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipeline variants (text-to-image vs Img2Img)." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7233", + "accept": false, + "reason": "Same Dreambooth LoRA SDXL script, but one adds micro-conditioning and the other adds DoRA; different features." + }, + { + "left": "pull_request:7235", + "right": "pull_request:8926", + "accept": false, + "reason": "Different Dreambooth LoRA scripts and different fixes: DoRA feature vs checkpoint-save bug." + }, + { + "left": "pull_request:8926", + "right": "pull_request:9993", + "accept": false, + "reason": "Different models/scripts (SDXL advanced vs SD3) and different checkpoint-save logic." + }, + { + "left": "pull_request:6851", + "right": "pull_request:7260", + "accept": false, + "reason": "Different pipelines (PIA vs SAG) and different adapter integration work." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6532", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different training scripts and code paths." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7235", + "accept": false, + "reason": "Same Dreambooth LoRA SDXL script, but different features: micro-conditioning vs DoRA." + }, + { + "left": "pull_request:10268", + "right": "pull_request:10298", + "accept": false, + "reason": "Both extend single-file loading, but for different model families and conversion paths." + }, + { + "left": "pull_request:11358", + "right": "pull_request:11747", + "accept": true, + "reason": "Same HiDream license-header fix in the same files; 11358 is the broader ancestor, 11747 is the focused duplicate-style follow-up." + }, + { + "left": "pull_request:1682", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version bumps, but for different release versions and different eras." + }, + { + "left": "pull_request:288", + "right": "pull_request:359", + "accept": false, + "reason": "Same Karras VE area, but one is pipeline typing and the other is scheduler typing; not the same change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4596", + "accept": false, + "reason": "Completely different functionality: TensorRT inpainting pipeline vs SDXL conversion script." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6555", + "accept": false, + "reason": "Different training families: Wuerstchen prior/text-to-image vs SD text-to-image LoRA compile compatibility." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7984", + "accept": false, + "reason": "ControlNet compile fix vs VAE compile fix; related theme but different code paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7988", + "accept": false, + "reason": "ControlNet compile fix vs IP-Adapter compile fix; different model components and code paths." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the accepted pairs both share the same concrete pipeline/license fix, while the rejected pairs are described as related but distinct changes. I don\u2019t see an overstatement of evidence or an obviously non-mergeable accepted pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 8, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Only one soft pair looks like the same underlying change: the textual inversion progress-saving WIP and its finalized merged follow-up. The rest are different model/features, different pipelines, or unrelated docs/test/CI edits.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 645 is the finalized merged version of the textual inversion save-progress feature; PR 644 is a WIP precursor with the same functionality.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the cleanest canonical choice: merged, narrower, and it subsumes the WIP in PR 644 without extra unrelated churn.", + "soft_edge_verdicts": [ + { + "left": "pull_request:754", + "right": "pull_request:869", + "accept": false, + "reason": "Both touch community-pipeline import handling, but the diffs/titles suggest separate cleanup fixes plus README changes, not one concrete duplicate bug." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6303", + "accept": false, + "reason": "Different projects/features: LCM training script vs ADD training scripts. No shared underlying change." + }, + { + "left": "pull_request:8973", + "right": "pull_request:8987", + "accept": false, + "reason": "Different test areas and goals: Lumina pipeline size reduction vs a new transformer model test suite." + }, + { + "left": "pull_request:6691", + "right": "pull_request:6968", + "accept": false, + "reason": "Same file, but different issues: general advanced SDXL LoRA feature/bug work vs a specific prior-preservation fix." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7233", + "accept": false, + "reason": "One fixes DDP+PEFT behavior; the other adds DoRA support. Related file, different change." + }, + { + "left": "pull_request:10633", + "right": "pull_request:9787", + "accept": false, + "reason": "Docs example for Flux IP-Adapter vs implementation of Flux IP-Adapter. Not the same patch." + }, + { + "left": "pull_request:10298", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file/GGUF support, but for different model families (LTX vs HiDream)." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6534", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but for different DreamBooth scripts and code paths." + }, + { + "left": "pull_request:644", + "right": "pull_request:645", + "accept": true, + "reason": "Same textual-inversion save-progress feature; 645 is the refined merged follow-up to the WIP in 644." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5938", + "accept": false, + "reason": "SDXL clip-skip support and ControlNet LoRA are unrelated features." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12325", + "accept": false, + "reason": "Both are Qwen-Image ControlNet work, but for different pipeline generations and separate implementation changes." + }, + { + "left": "pull_request:10077", + "right": "pull_request:11271", + "accept": false, + "reason": "Different single-file fixes for different models (SD3.5 vs LTX 0.9.5)." + }, + { + "left": "pull_request:10298", + "right": "pull_request:10991", + "accept": false, + "reason": "Both single-file support changes, but for different target models and code paths." + }, + { + "left": "pull_request:288", + "right": "pull_request:325", + "accept": false, + "reason": "Both are type-hint cleanups, but for different pipelines and unrelated code paths." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4595", + "accept": false, + "reason": "Unrelated community inpainting pipeline vs an unfinished XL conversion work-in-progress." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5175", + "accept": false, + "reason": "Test dependency pinning and HF_HOME permission testing are unrelated." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6556", + "accept": false, + "reason": "Textual inversion saving vs SDXL LoRA compile compatibility are different training-script fixes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7258", + "accept": false, + "reason": "One changes help text/docs; the other fixes model-card generation logic. Not the same bug." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8755", + "accept": false, + "reason": "Different DreamBooth scripts and different issues: resume handling vs SD3 text-encoder training." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7797", + "accept": false, + "reason": "Different pipelines and test cases; only both reduce fast-test model sizes." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7803", + "accept": false, + "reason": "Different pipelines and test cases; only both reduce fast-test model sizes." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7804", + "accept": false, + "reason": "Different pipelines and test cases; only both reduce fast-test model sizes." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7833", + "accept": false, + "reason": "Different pipelines and test cases; only both reduce fast-test model sizes." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7846", + "accept": false, + "reason": "Different pipelines and test cases; only both reduce fast-test model sizes." + }, + { + "left": "pull_request:8770", + "right": "pull_request:8775", + "accept": false, + "reason": "Both edit README files, but they add different links/content and do not fix the same issue." + }, + { + "left": "pull_request:8983", + "right": "pull_request:9483", + "accept": false, + "reason": "CI parallelism fix vs nightly model-test updates are unrelated." + }, + { + "left": "pull_request:7233", + "right": "pull_request:8926", + "accept": false, + "reason": "DoRA support and checkpoint-save bug fix are separate changes in the same script." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The result is grounded in the packet. The only accepted pair, PR 644/645, is a conservative same-feature match: both modify the textual inversion training script to save learned embeddings during training, with 645 reading as the refined merged follow-up to the WIP in 644. The rejected soft pairs are also cautiously framed and do not overstate equivalence from the available diffs/titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 9, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 not a true duplicate cluster: the PRs span unrelated areas (DreamBooth, Wan, Qwen, SVD docs, adapters, LoRA, compile compatibility). The soft pairs are mostly superficial similarities from shared filenames or broad subsystem overlap, not the same concrete bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR is suitable here; the items are heterogeneous and do not represent one underlying bug/change, so picking any one would be arbitrary.", + "best_issue_reason": null, + "best_pr_reason": "No PR in this set is a clear global representative duplicate target. The closest matches are only loosely related by file or subsystem, not by the same fix or feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5448", + "right": "pull_request:5559", + "accept": false, + "reason": "Same LCM family, but one adds the base pipeline and the other adds an img2img variant; different concrete changes." + }, + { + "left": "pull_request:4946", + "right": "pull_request:7196", + "accept": false, + "reason": "Training overview docs vs IP-Adapter training scripts/docs; unrelated features." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6556", + "accept": false, + "reason": "Both are torch.compile-related, but they fix different training scripts and different code paths; not mergeable into one PR." + }, + { + "left": "pull_request:6004", + "right": "pull_request:6330", + "accept": false, + "reason": "Both touch SVD docs, but they fix different documentation issues and different content." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6691", + "accept": false, + "reason": "Same advanced training README, but one is help-text cleanup while the other adds substantial new features and fixes." + }, + { + "left": "pull_request:5993", + "right": "pull_request:6099", + "accept": false, + "reason": "Similar superclass-args bug pattern, but in different pipelines and different implementations." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7072", + "accept": false, + "reason": "Same training script family, but micro-conditioning and DoRA are different features, not the same change." + }, + { + "left": "pull_request:11059", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they target different model families and different conversion problems." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12325", + "accept": false, + "reason": "Both are Qwen-Image ControlNet variants, but one is inpaint and the other is edit; different pipeline classes and code paths." + }, + { + "left": "pull_request:1012", + "right": "pull_request:2237", + "accept": false, + "reason": "Same DreamBooth script, but one sets text encoder train mode and the other adds learning-rate args; different fixes." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11175", + "accept": false, + "reason": "Wan-related, but single-file loading support and image-embeds support are unrelated changes." + }, + { + "left": "pull_request:3201", + "right": "pull_request:3686", + "accept": false, + "reason": "A revert of one community pipeline update vs an IPEX pipeline update; not the same underlying bug or change." + }, + { + "left": "pull_request:3265", + "right": "pull_request:3686", + "accept": false, + "reason": "Again, these are unrelated edits to the same example file but they revert/add different content for different reasons." + }, + { + "left": "pull_request:344", + "right": "pull_request:346", + "accept": false, + "reason": "Both touch VAE type hints, but one is broad type-hint cleanup and the other is a narrow encode signature annotation." + }, + { + "left": "pull_request:4495", + "right": "pull_request:4498", + "accept": false, + "reason": "One adds the example pipeline code; the other adds docs for it. Related, but not the same change." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7233", + "accept": false, + "reason": "Both affect SDXL DreamBooth LoRA, but variant support and DoRA support are different features." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6525", + "accept": false, + "reason": "Both address checkpointing/compile compatibility, but in different training scripts and different model families." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7984", + "accept": false, + "reason": "Different code paths: DreamBooth checkpointing vs VAE decode compile compatibility." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7988", + "accept": false, + "reason": "Both mention torch.compile, but IPAdapter compile fixes are a separate model/code path from SDXL DreamBooth." + }, + { + "left": "pull_request:6566", + "right": "pull_request:7182", + "accept": false, + "reason": "Same advanced DreamBooth script, but one fixes resume/loading and the other adds EDM-style training." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7166", + "accept": false, + "reason": "Both are SDXL DreamBooth LoRA bug fixes, but they address different failures in different parts of the script." + }, + { + "left": "pull_request:9754", + "right": "pull_request:9806", + "accept": false, + "reason": "Same Flux quantization script, but one introduces the script and the other tweaks optimizer support." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4862", + "accept": false, + "reason": "Stable Diffusion safety-checker img2img bug vs SDXL ControlNet MultiControlNet shape handling; different bugs." + }, + { + "left": "pull_request:4621", + "right": "pull_request:5090", + "accept": false, + "reason": "Both hit adapter code, but one validates downscale factors while the other changes weight accumulation behavior." + }, + { + "left": "pull_request:6764", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are PEFT inference docs, but one covers serialization after fusing adapters and the other covers torch.compile usage." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12909", + "accept": false, + "reason": "Both are WAN I2V-related, but shape mismatch and context-parallel fixes are separate issues in 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": 265, + "review_unit_index": 10, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly a noisy mix of unrelated PRs across docs, tests, and small fixes; I don\u2019t see a single underlying duplicate bug/change tying them together.", + "confidence": 0.2, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifact exists here, and there is no single duplicated change across the PRs. If a representative must be chosen, PR 10365 is the cleanest focused code fix with an explicit issue target.", + "best_issue_reason": null, + "best_pr_reason": "PR 10365 is a small, well-scoped merged code change with a direct issue target, making it the best representative among otherwise mostly unrelated docs/tests/chore PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7166", + "right": "pull_request:8691", + "accept": false, + "reason": "Both touch LoRA loading, but they fix different model/script paths and different loading behavior; too broad to be the same duplicate change." + }, + { + "left": "pull_request:325", + "right": "pull_request:326", + "accept": false, + "reason": "Different pipelines and different type-hint cleanup; same style of edit, not the same code-path problem." + }, + { + "left": "pull_request:4632", + "right": "pull_request:4749", + "accept": false, + "reason": "Both concern SDXL LoRA training/checkpointing, but one is text-to-image and the other dreambooth; not the same concrete bug." + }, + { + "left": "pull_request:4774", + "right": "pull_request:5057", + "accept": false, + "reason": "Both are SDXL feature work, but one adds negative size/position conditioning and the other adds clip skip; distinct changes." + }, + { + "left": "pull_request:10222", + "right": "pull_request:10365", + "accept": false, + "reason": "Both add torch_xla handling, but for different pipelines and different call sites; not the same underlying fix." + }, + { + "left": "pull_request:10275", + "right": "pull_request:10585", + "accept": false, + "reason": "One is copyright-header churn and the other is a VAE annotation fix; unrelated despite shared files." + }, + { + "left": "pull_request:10359", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are test fixes, but for different test suites and failure modes; not mergeable as one duplicate PR." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11325", + "accept": false, + "reason": "Both are doc updates, but they address different models and different docstring gaps." + }, + { + "left": "pull_request:10464", + "right": "pull_request:9751", + "accept": false, + "reason": "Similar NPU-adaptation titles, but they touch different training scripts and model paths; not the same concrete change." + }, + { + "left": "pull_request:1103", + "right": "pull_request:136", + "accept": false, + "reason": "Model-card URL fix vs manifest packaging fix; unrelated." + }, + { + "left": "pull_request:11348", + "right": "pull_request:11851", + "accept": false, + "reason": "Both are docs-only, but about unrelated topics in different docs pages." + }, + { + "left": "pull_request:1162", + "right": "pull_request:869", + "accept": false, + "reason": "Community-pipeline docs/link cleanup vs an import bug in dynamic modules; different underlying issues." + }, + { + "left": "pull_request:11731", + "right": "pull_request:11740", + "accept": false, + "reason": "Docs tip vs compile/offload tests; different artifact types and different changes." + }, + { + "left": "pull_request:1230", + "right": "pull_request:934", + "accept": false, + "reason": "Both touch MPS testing, but one is a generator/device-specific fast-test fix and the other is broader MPS failing tests." + }, + { + "left": "pull_request:12757", + "right": "pull_request:13283", + "accept": false, + "reason": "Same docs file, but one is a formatting/link tweak and the other changes the FlashAttention-3 support note." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13371", + "accept": false, + "reason": "Both are test refactors for Wan-related models, but they cover different model classes and test scopes." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13344", + "accept": false, + "reason": "Different model test refactors; no shared concrete bug or change." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13344", + "accept": false, + "reason": "Different model test refactors; same pattern, different target models." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13344", + "accept": false, + "reason": "Cosmos vs GLM image tests are unrelated refactors, not one duplicate fix." + }, + { + "left": "pull_request:1394", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version bumps, but to different versions and in different release moments." + }, + { + "left": "pull_request:1423", + "right": "pull_request:2487", + "accept": false, + "reason": "One adds Flax code support and the other adds a how-to guide; code change vs documentation." + }, + { + "left": "pull_request:168", + "right": "pull_request:386", + "accept": false, + "reason": "Stable Diffusion implementation PR vs Stable Diffusion docs PR; not the same artifact change." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3541", + "accept": false, + "reason": "Attention-mask fixes in different code paths: a model attention module vs dreambooth training data collation." + }, + { + "left": "pull_request:178", + "right": "pull_request:936", + "accept": false, + "reason": "Adding Stable Diffusion tests is not the same as splitting tests into separate files; distinct test-maintenance changes." + }, + { + "left": "pull_request:1795", + "right": "pull_request:715", + "accept": false, + "reason": "Both address environment/import behavior, but one is a JAX-installed OOM workaround and the other is a PyTorch import guard; 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": 265, + "review_unit_index": 11, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "The cluster is a grab bag of mostly unrelated docs/example cleanup, CI dependency tweaks, and a few unrelated code fixes. 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the soft pairs are mostly same subsystem or adjacent follow-up work, but not the same concrete bug/change. I would not collapse any pair as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical representative: these items span unrelated docs, model features, tests, and bug fixes rather than one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as globally canonical for the cluster because there is no single shared defect or feature across the items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9070", + "right": "pull_request:9408", + "accept": false, + "reason": "Both are FLUX pipeline additions, but one adds base Img2Img while the other adds ControlNet img2img/inpaint; different code paths and feature scope." + }, + { + "left": "pull_request:5448", + "right": "pull_request:5517", + "accept": false, + "reason": "A released pipeline and a draft distillation script are not the same change; one adds inference support, the other is training code." + }, + { + "left": "pull_request:11571", + "right": "pull_request:12095", + "accept": false, + "reason": "Different LTX releases and different functionality; 0.9.7-distilled docs/improvements are not the same change as 0.9.8 model support." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5915", + "accept": false, + "reason": "IP-Adapter and IP-Adapter Plus are related, but they are distinct implementations with different loading/image-projection logic, not one fix." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6225", + "accept": false, + "reason": "Both involve LoRA, but one fixes PEFT+xformers attention behavior while the other fixes alpha parsing/loading; separate bugs." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9993", + "accept": false, + "reason": "Different DreamBooth scripts and different bugs: Flux prompt/tokenization handling versus SD3 checkpoint saving logic." + }, + { + "left": "pull_request:6267", + "right": "pull_request:6757", + "accept": false, + "reason": "A refactor moving k-diffusion code is not the same as a device-placement fix for sigma tensors." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7062", + "accept": false, + "reason": "Completely unrelated: Marigold depth input normalization versus an Imagic docstring cleanup." + }, + { + "left": "pull_request:10968", + "right": "pull_request:11516", + "accept": false, + "reason": "Both are LTX releases, but they introduce different model versions and pipeline additions; not one mergeable fix." + }, + { + "left": "pull_request:5807", + "right": "pull_request:7062", + "accept": false, + "reason": "A community pipeline feature fix is unrelated to an Imagic docstring edit." + }, + { + "left": "pull_request:10346", + "right": "pull_request:9881", + "accept": false, + "reason": "Same file, but different IP-Adapter concerns: optional masks versus xformers attention processor support." + }, + { + "left": "pull_request:10063", + "right": "pull_request:9940", + "accept": false, + "reason": "Both are docs nits, but they fix different pages and different wording issues." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11292", + "accept": false, + "reason": "Both touch LoRA conversion utilities, but they target different adapter formats/model families and different conversion paths." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11451", + "accept": false, + "reason": "Same general test pattern, but different models and different test targets; not the same concrete bug." + }, + { + "left": "pull_request:8572", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are broad typo/errata sweeps, not the same underlying documentation change." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12249", + "accept": false, + "reason": "Two different new pipelines for different models; they do not fix the same code-path problem." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10402", + "accept": false, + "reason": "Both are documentation fixes, but for different sections and different broken links." + }, + { + "left": "pull_request:2766", + "right": "pull_request:934", + "accept": false, + "reason": "Both address MPS-related test issues, but the affected tests and expected outputs differ; not the same bug." + }, + { + "left": "pull_request:3170", + "right": "pull_request:5175", + "accept": false, + "reason": "Unrelated setup.py pin versus CI HF_HOME permission path change." + }, + { + "left": "pull_request:6714", + "right": "pull_request:6760", + "accept": false, + "reason": "One adds IP-Adapter tests to the slow matrix; the other updates slow-test expectations. Different changes, not a single fix." + }, + { + "left": "pull_request:6962", + "right": "pull_request:7966", + "accept": false, + "reason": "Different PixArt model test suites and different expected outputs; not one shared bug." + }, + { + "left": "pull_request:9005", + "right": "pull_request:9483", + "accept": false, + "reason": "Both are CI/test maintenance, but the workflows and model expectations are unrelated." + }, + { + "left": "pull_request:7206", + "right": "pull_request:7372", + "accept": false, + "reason": "Model-card tagging cleanup versus adding EDM/scheduler metadata; related area, but not the same underlying change." + }, + { + "left": "pull_request:1508", + "right": "pull_request:1513", + "accept": false, + "reason": "Same README, but different docs fixes: prior-preservation clarification versus accelerate config bootstrapping." + }, + { + "left": "pull_request:6225", + "right": "pull_request:7166", + "accept": false, + "reason": "Both are DreamBooth LoRA-related, but one fixes alpha parsing while the other fixes SDXL checkpoint loading; separate 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": 265, + "review_unit_index": 13, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10222", + "pull_request:10246", + "pull_request:10253", + "pull_request:10364", + "pull_request:1073", + "pull_request:10819", + "pull_request:11059", + "pull_request:1130", + "pull_request:11537", + "pull_request:1167", + "pull_request:1169", + "pull_request:11825", + "pull_request:11920", + "pull_request:11955", + "pull_request:121", + "pull_request:1230", + "pull_request:13071", + "pull_request:13340", + "pull_request:1418", + "pull_request:1420", + "pull_request:1423", + "pull_request:1467", + "pull_request:16", + "pull_request:171", + "pull_request:1727", + "pull_request:1729", + "pull_request:1769", + "pull_request:1849", + "pull_request:1960", + "pull_request:1998", + "pull_request:2487", + "pull_request:252", + "pull_request:2526", + "pull_request:260", + "pull_request:2604", + "pull_request:3819", + "pull_request:386", + "pull_request:3989", + "pull_request:531", + "pull_request:555", + "pull_request:62", + "pull_request:642", + "pull_request:874", + "pull_request:879", + "pull_request:889", + "pull_request:942", + "pull_request:9598" + ], + "soft_pairs": [ + "pull_request:10206|pull_request:11059", + "pull_request:10222|pull_request:10364", + "pull_request:10246|pull_request:10819", + "pull_request:10253|pull_request:9598", + "pull_request:1073|pull_request:121", + "pull_request:1073|pull_request:252", + "pull_request:1130|pull_request:874", + "pull_request:11537|pull_request:11920", + "pull_request:11537|pull_request:11955", + "pull_request:1167|pull_request:121", + "pull_request:1167|pull_request:252", + "pull_request:1169|pull_request:942", + "pull_request:11825|pull_request:11920", + "pull_request:11825|pull_request:11955", + "pull_request:121|pull_request:16", + "pull_request:121|pull_request:1960", + "pull_request:1230|pull_request:1727", + "pull_request:13071|pull_request:13340", + "pull_request:1418|pull_request:1849", + "pull_request:1420|pull_request:1423", + "pull_request:1420|pull_request:555", + "pull_request:1420|pull_request:889", + "pull_request:1467|pull_request:2526", + "pull_request:16|pull_request:252", + "pull_request:171|pull_request:62", + "pull_request:1729|pull_request:1769", + "pull_request:1729|pull_request:531", + "pull_request:1960|pull_request:252", + "pull_request:1998|pull_request:3819", + "pull_request:2487|pull_request:386", + "pull_request:2526|pull_request:3989", + "pull_request:260|pull_request:879", + "pull_request:2604|pull_request:642" + ], + "prepared_review_unit_hash": "98de8fe2f9523f507a9a988ecd968b6d5292c1fce618c97b19533dc387a729a9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 97580, + "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 false-positive similarity: the PRs span unrelated docs edits, test updates, and distinct pipeline/runtime fixes. I would reject all soft edges; none look like the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the set is heterogeneous and no PR subsumes the others or fixes the same concrete bug/change.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:1169 is the strongest standalone fix in the set because it makes a concrete runtime correction across scheduler/pipeline code and includes aligned tests, but it still does not match the other items closely enough to serve as a duplicate canonical.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10206", + "right": "pull_request:11059", + "accept": false, + "reason": "Different LoRA features for different model families (Flux Control vs WAN); not the same bug or patch." + }, + { + "left": "pull_request:10222", + "right": "pull_request:10364", + "accept": false, + "reason": "Both add torch_xla support, but to different pipelines and code paths; separate changes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:10819", + "accept": false, + "reason": "Unrelated docs updates in different API sections; no shared bug/change." + }, + { + "left": "pull_request:10253", + "right": "pull_request:9598", + "accept": false, + "reason": "Different documentation note additions in different files; not duplicates." + }, + { + "left": "pull_request:1073", + "right": "pull_request:121", + "accept": false, + "reason": "Both touch README, but one is a typo/command-line fix and the other adds example code from a different era." + }, + { + "left": "pull_request:1073", + "right": "pull_request:252", + "accept": false, + "reason": "README edits only share the file name; the content and intent are unrelated." + }, + { + "left": "pull_request:1130", + "right": "pull_request:874", + "accept": false, + "reason": "Different community README changes: one adds LoRA/offload support, the other adds a generic inference example." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11920", + "accept": false, + "reason": "Different test suites for different models (UNet2DConditionModel vs Wan pipelines)." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11955", + "accept": false, + "reason": "Same broad theme of tests, but for different models and assertions; not the same fix." + }, + { + "left": "pull_request:1167", + "right": "pull_request:121", + "accept": false, + "reason": "Both are README edits, but they address unrelated content in different sections and contexts." + }, + { + "left": "pull_request:1167", + "right": "pull_request:252", + "accept": false, + "reason": "Shared README file only; one is an Intel XPU note, the other is example expansion." + }, + { + "left": "pull_request:1169", + "right": "pull_request:942", + "accept": false, + "reason": "Related MPS dtype issues, but they fix different scheduler/pipeline paths and are not one mergeable PR." + }, + { + "left": "pull_request:11825", + "right": "pull_request:11920", + "accept": false, + "reason": "Compilation/resolution-change tests vs Wan test slices; different problems." + }, + { + "left": "pull_request:11825", + "right": "pull_request:11955", + "accept": false, + "reason": "Different test concerns and different pipelines; not the same underlying issue." + }, + { + "left": "pull_request:121", + "right": "pull_request:16", + "accept": false, + "reason": "Both README updates, but they are from different parts of the project and unrelated content." + }, + { + "left": "pull_request:121", + "right": "pull_request:1960", + "accept": false, + "reason": "One adds usage examples, the other updates a research-project README; no shared code/change." + }, + { + "left": "pull_request:1230", + "right": "pull_request:1727", + "accept": false, + "reason": "MPS fast-test fixes vs ONNX img2img preprocessing/coverage; unrelated changes." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13340", + "accept": false, + "reason": "Different model test refactors for Flux2 vs SD3; not the same concrete fix." + }, + { + "left": "pull_request:1418", + "right": "pull_request:1849", + "accept": false, + "reason": "Versatile Diffusion test/cleanup work vs a cross_attention_kwargs plumbing fix; different problems." + }, + { + "left": "pull_request:1420", + "right": "pull_request:1423", + "accept": false, + "reason": "Stable Diffusion 2 test additions vs Flax support implementation; unrelated." + }, + { + "left": "pull_request:1420", + "right": "pull_request:555", + "accept": false, + "reason": "Test additions vs Flax VAE implementation; not the same bug/change." + }, + { + "left": "pull_request:1420", + "right": "pull_request:889", + "accept": false, + "reason": "Test file vs pipeline utility feature; different scope and purpose." + }, + { + "left": "pull_request:1467", + "right": "pull_request:2526", + "accept": false, + "reason": "Both adjust slow tests, but they target different pipelines and assertions." + }, + { + "left": "pull_request:16", + "right": "pull_request:252", + "accept": false, + "reason": "Both are README expansions, but they are separate documentation changes with no common underlying bug." + }, + { + "left": "pull_request:171", + "right": "pull_request:62", + "accept": false, + "reason": "Both touch latent diffusion, but one fixes eta handling and the other fixes unconditional decoding; distinct bugs." + }, + { + "left": "pull_request:1729", + "right": "pull_request:1769", + "accept": false, + "reason": "Different test fixes for different pipelines (latent diffusion vs UnCLIP)." + }, + { + "left": "pull_request:1729", + "right": "pull_request:531", + "accept": false, + "reason": "Latent diffusion test/device handling vs spatial transformer GPU test fixes; unrelated." + }, + { + "left": "pull_request:1960", + "right": "pull_request:252", + "accept": false, + "reason": "Different docs areas and different kinds of README updates; not duplicates." + }, + { + "left": "pull_request:1998", + "right": "pull_request:3819", + "accept": false, + "reason": "Both DreamBooth README edits, but one adds a blog post and the other adds a FAQ section; separate content." + }, + { + "left": "pull_request:2487", + "right": "pull_request:386", + "accept": false, + "reason": "JAX/Flax guide addition vs Stable Diffusion pipeline docs; different documentation work." + }, + { + "left": "pull_request:2526", + "right": "pull_request:3989", + "accept": false, + "reason": "Slow-test threshold tweaks vs SDXL offload support; completely different changes." + }, + { + "left": "pull_request:260", + "right": "pull_request:879", + "accept": false, + "reason": "Both community docs, but one fixes a typo and the other changes a table entry; not the same change." + }, + { + "left": "pull_request:2604", + "right": "pull_request:642", + "accept": false, + "reason": "Both fix links in docs, but they point to different targets and 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": 265, + "review_unit_index": 14, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2677", + "pull_request:2788", + "pull_request:2839", + "pull_request:2897", + "pull_request:3030", + "pull_request:3128", + "pull_request:3168", + "pull_request:3170", + "pull_request:3625", + "pull_request:3819", + "pull_request:4175", + "pull_request:4330", + "pull_request:4351", + "pull_request:4540", + "pull_request:4574", + "pull_request:4612", + "pull_request:4655", + "pull_request:4696", + "pull_request:4862", + "pull_request:4946", + "pull_request:5332", + "pull_request:5626", + "pull_request:5747", + "pull_request:5844", + "pull_request:5852", + "pull_request:5982", + "pull_request:6106", + "pull_request:6389", + "pull_request:6403", + "pull_request:6440", + "pull_request:6475", + "pull_request:6592", + "pull_request:6775", + "pull_request:7124", + "pull_request:7360", + "pull_request:7495", + "pull_request:7542", + "pull_request:7544", + "pull_request:7910", + "pull_request:832", + "pull_request:874", + "pull_request:8775", + "pull_request:8923", + "pull_request:9070", + "pull_request:9131", + "pull_request:9135", + "pull_request:9760", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:2677|pull_request:2788", + "pull_request:2839|pull_request:4351", + "pull_request:2839|pull_request:4574", + "pull_request:2897|pull_request:874", + "pull_request:3030|pull_request:832", + "pull_request:3128|pull_request:4862", + "pull_request:3168|pull_request:3625", + "pull_request:3170|pull_request:4175", + "pull_request:3819|pull_request:4351", + "pull_request:4330|pull_request:4540", + "pull_request:4612|pull_request:6440", + "pull_request:4655|pull_request:5747", + "pull_request:4696|pull_request:4946", + "pull_request:5332|pull_request:7124", + "pull_request:5626|pull_request:5852", + "pull_request:5844|pull_request:5982", + "pull_request:6106|pull_request:6403", + "pull_request:6389|pull_request:6475", + "pull_request:6403|pull_request:6592", + "pull_request:6775|pull_request:7360", + "pull_request:6775|pull_request:7910", + "pull_request:7495|pull_request:8775", + "pull_request:7542|pull_request:7544", + "pull_request:8923|pull_request:9131", + "pull_request:9070|pull_request:9135", + "pull_request:9760|pull_request:9775" + ], + "prepared_review_unit_hash": "5a2d1d2bbc7fb94dd2f905dc8863ef2c0d7b923e9f1d68d1d58d35d8e66b0de6", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 90921, + "estimated_input_tokens": 22731, + "estimated_eval_tokens": 45718 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated docs, example, and test PRs. The only clear duplicate-like pair is the repeated `data_dir` dataset-loading fix in 4655 and 5747; the rest should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5747 is the best canonical PR candidate because it is the merged, final version of the same `data_dir` fix that 4655 also applies in the same two training scripts.", + "best_issue_reason": null, + "best_pr_reason": "5747 is the strongest representative fix in the set: it is a concrete, merged code-path change rather than docs or test churn, and it cleanly captures the shared `data_dir` bug.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2677", + "right": "pull_request:2788", + "accept": false, + "reason": "Both touch docs navigation, but one adds a ControlNet docs entry while the other deduplicates the training section; different changes." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4351", + "accept": false, + "reason": "Both edit README.md, but one adds example rows and the other changes an image path; unrelated changes." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4574", + "accept": false, + "reason": "One updates the examples README table, the other updates InstructPix2Pix README text; not the same change." + }, + { + "left": "pull_request:2897", + "right": "pull_request:874", + "accept": false, + "reason": "Different docs goals: StableUnCLIP usage example vs generic community pipeline example." + }, + { + "left": "pull_request:3030", + "right": "pull_request:832", + "accept": false, + "reason": "Different bugs in different pipelines; panorama CFG handling is not the Flax NSFW image-blocking fix." + }, + { + "left": "pull_request:3128", + "right": "pull_request:4862", + "accept": false, + "reason": "Both are timestep/shape-related, but they fix different pipelines and different failure modes." + }, + { + "left": "pull_request:3168", + "right": "pull_request:3625", + "accept": false, + "reason": "Both are doc-builder test PRs, but they touch different workflow files and unrelated test scaffolding." + }, + { + "left": "pull_request:3170", + "right": "pull_request:4175", + "accept": false, + "reason": "Setup dependency pinning and a ControlNet webdataset example are unrelated changes." + }, + { + "left": "pull_request:3819", + "right": "pull_request:4351", + "accept": false, + "reason": "Both modify README.md, but one adds FAQ content while the other changes a PyPI-friendly image URL." + }, + { + "left": "pull_request:4330", + "right": "pull_request:4540", + "accept": false, + "reason": "Both are README tweaks, but one corrects the SDXL ControlNet header and the other adds a Colab notebook link." + }, + { + "left": "pull_request:4612", + "right": "pull_request:6440", + "accept": false, + "reason": "Both fix docs links, but they target different pages and different broken references." + }, + { + "left": "pull_request:4655", + "right": "pull_request:5747", + "accept": true, + "reason": "Same underlying bug: both add `data_dir` to the same dataset-loading calls in the same two training scripts." + }, + { + "left": "pull_request:4696", + "right": "pull_request:4946", + "accept": false, + "reason": "One adds T2I-Adapter XL models; the other updates training overview docs to list T2I adapters. Different scope." + }, + { + "left": "pull_request:5332", + "right": "pull_request:7124", + "accept": false, + "reason": "Different DreamBooth LoRA edits: a comment typo vs a kwarg rename in validation flow." + }, + { + "left": "pull_request:5626", + "right": "pull_request:5852", + "accept": false, + "reason": "Both involve tests, but they address different test files and different failures." + }, + { + "left": "pull_request:5844", + "right": "pull_request:5982", + "accept": false, + "reason": "Different documentation additions for different pipelines; no shared underlying bug or feature." + }, + { + "left": "pull_request:6106", + "right": "pull_request:6403", + "accept": false, + "reason": "Both touch the advanced training script, but one fixes a saved example and the other adds WebUI format support; not the same change." + }, + { + "left": "pull_request:6389", + "right": "pull_request:6475", + "accept": false, + "reason": "Different Stable Video Diffusion doc/code fixes: parameter type vs VAE type annotation." + }, + { + "left": "pull_request:6403", + "right": "pull_request:6592", + "accept": false, + "reason": "WebUI format support in an existing script is unrelated to adding a new inpainting training script." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7360", + "accept": false, + "reason": "Both are scheduler docs updates, but they address different schedulers and different missing docs details." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7910", + "accept": false, + "reason": "Unrelated docs additions: DDPM scheduler docs vs image processor docs." + }, + { + "left": "pull_request:7495", + "right": "pull_request:8775", + "accept": false, + "reason": "Both add Colab links, but for different READMEs and different training projects." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7544", + "accept": false, + "reason": "Both are CPU offload tests, but one fixes a typo and the other changes assertion logic; not the same underlying fix." + }, + { + "left": "pull_request:8923", + "right": "pull_request:9131", + "accept": false, + "reason": "CI/debug workflow edits are unrelated to a tokenizers dependency pin." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9135", + "accept": false, + "reason": "9135 adds Flux img2img plus inpaint, while 9070 is only a draft img2img pipeline; not the same concrete change." + }, + { + "left": "pull_request:9760", + "right": "pull_request:9775", + "accept": false, + "reason": "Both edit READMEs, but one is a general wording cleanup and the other adds a Flux quantization note." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft pair, 4655/5747, is a plausible duplicate-like bugfix for the same `data_dir` dataset-loading calls in the same two scripts. The other pairwise rejections are appropriately cautious and do not overstate sameness." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 15, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 grab bag of mostly unrelated PRs across Flux, LTX, Qwen-Image, Wan, SD3, LoRA, docs, and tests. The soft pairs share broad subsystems or filenames in a few cases, but they do not look like the same underlying change or bug, 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": "pull_request:4783", + "right": "pull_request:6864", + "accept": false, + "reason": "Both touch SDXL/ControlNet docs, but one adds embedding-forcing docs and the other adds a torch.compile note for PEFT/LoRA; different user problems and code paths." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9985", + "accept": false, + "reason": "Both are Flux-related, but 10192 adds Flux Control Inpaint docs/pipeline while 9985 adds Flux Fill/Canny/Depth/Redux; separate model families and PR scopes." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11512", + "accept": false, + "reason": "Both are torch.compile test work, but they target different transformer models and different test implementations; not the same bug fix." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12301", + "accept": false, + "reason": "Both are Qwen-Image inpaint variants, but one is edit-inpaint and the other is ControlNet-inpaint; distinct pipelines and behavior." + }, + { + "left": "pull_request:11039", + "right": "pull_request:11892", + "accept": false, + "reason": "One changes single-file loading/quantization handling for Kolors, the other removes k-diffusion from core dependencies; unrelated." + }, + { + "left": "pull_request:6795", + "right": "pull_request:8715", + "accept": false, + "reason": "Both touch SDXL DreamBooth training, but one adds micro-conditioning/crop args and the other adds clip_skip support; different training features." + }, + { + "left": "pull_request:8290", + "right": "pull_request:8627", + "accept": false, + "reason": "Both are broad Hunyuan/SD3-related refactors or docs/test sizing, but they address different model integration work and are not the same change." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12074", + "accept": false, + "reason": "Both involve LoRA loading, but 11588 is Wan I2V LoRA support while 12074 adds Wan 2.2 second-transformer LoRA loading; different model behavior." + }, + { + "left": "pull_request:12909", + "right": "pull_request:12970", + "accept": false, + "reason": "Both mention context parallel, but one fixes Wan attention parallelism and the other fixes Qwen-Image series context parallel; different code paths and models." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10968", + "accept": false, + "reason": "Both are LTX Video updates, but they are separate version bumps/releases with different converter/model changes; not the same underlying bug or feature." + }, + { + "left": "pull_request:10578", + "right": "pull_request:11655", + "accept": false, + "reason": "Both modify LoRA loading for quantized Flux, but one adds 4-bit support and the other adds 8-bit support; separate quantization cases." + }, + { + "left": "pull_request:10728", + "right": "pull_request:10867", + "accept": false, + "reason": "One removes a dtype reset in Flux IP-Adapter loading, the other adds multi-IP-Adapter support; different loader behaviors." + }, + { + "left": "pull_request:4451", + "right": "pull_request:4526", + "accept": false, + "reason": "Both rename slow tests to nightly, but they are different test batches and housekeeping changes, not one duplicate patch." + }, + { + "left": "pull_request:8725", + "right": "pull_request:8875", + "accept": false, + "reason": "Both are PAG-related, but one adds PAG for SD architecture and the other adds ControlNet PAG inpaint support; different pipelines and capabilities." + }, + { + "left": "pull_request:10351", + "right": "pull_request:11595", + "accept": false, + "reason": "One is a test fix in LoRA utilities, the other changes load_lora_weights behavior for Flux and updates a test; related area but different fixes." + }, + { + "left": "pull_request:10718", + "right": "pull_request:9987", + "accept": false, + "reason": "Both involve SD3/IP-Adapter, but 10718 is runtime checkpoint conversion for SD3 IP-Adapter while 9987 integrates SD3.5 IP-Adapter pipelines; not the same change." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5506", + "accept": false, + "reason": "Both are small attention/utility fixes, but one changes dummy-object backend handling and the other fixes PEFT+xformers LoRA argument passing; unrelated bugs." + }, + { + "left": "pull_request:5915", + "right": "pull_request:7189", + "accept": false, + "reason": "Both concern IP-Adapter Plus, but 5915 adds the feature broadly while 7189 fixes repeated-embed handling across pipelines; not mergeable into one concrete fix." + }, + { + "left": "pull_request:10268", + "right": "pull_request:11550", + "accept": false, + "reason": "Both are single-file loader support, but one adds Mochi transformer support and the other adds GGUF/HiDream support; different models and loaders." + }, + { + "left": "pull_request:1063", + "right": "pull_request:948", + "accept": false, + "reason": "A variable-name typo fix in attention code is unrelated to a comment typo in DDPM; no shared bug." + }, + { + "left": "pull_request:3952", + "right": "pull_request:4145", + "accept": false, + "reason": "One is a temporary dependency pin for huggingface-hub, the other is a draft UnCLIP pipeline signature experiment; completely different and not duplicate-worthy." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7131", + "accept": false, + "reason": "One fixes Wuerstchen docs typos, the other fixes broader docs typos and consistency decoder docs; same general docs area but not the same underlying change." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6308", + "accept": false, + "reason": "Both are LoRA/PEFT related, but 5697 fixes xformers+PEFT attention scaling while 6308 fixes dummy components in LoRA tests; distinct issues 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": 265, + "review_unit_index": 16, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 grab-bag of superficially similar docs, tests, LoRA, and pipeline PRs, but the soft edges do not indicate true duplicates. The paired items usually touch different models, different docs pages, or different bug fixes/features within the same broad subsystem.", + "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:8630", + "right": "pull_request:9086", + "accept": false, + "reason": "Both mention FLUX/DreamBooth LoRA, but one adds SD3 text-encoder training while the other adds Flux DreamBooth/LoRA scripts and README; different models and changes." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9290", + "accept": false, + "reason": "The shared README_flux.md is misleadingly similar, but 9086 introduces Flux training scripts while 9290 only improves documentation links/guidance." + }, + { + "left": "pull_request:11655", + "right": "pull_request:11823", + "accept": false, + "reason": "Both modify lora_pipeline.py, but 11655 adds bitsandbytes 8-bit support and 11823 adds Fal Kontext LoRA conversion; different code paths and features." + }, + { + "left": "pull_request:3921", + "right": "pull_request:4847", + "accept": false, + "reason": "Both are community examples, but they implement unrelated pipelines/features: blended text inpainting vs prompt-free diffusion." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5887", + "accept": false, + "reason": "Both are about IP-Adapter, but 4944 is a broad support implementation in loaders/model code while 5887 is a specific ControlNet inpaint pipeline integration." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10911", + "accept": false, + "reason": "Both are LoRA test fixes, but they target different models and failures (generic test utility vs Lumina2-specific fuse_nan behavior)." + }, + { + "left": "pull_request:4632", + "right": "pull_request:6759", + "accept": false, + "reason": "One fixes SDXL LoRA training checkpointing/casting, the other fixes InstantID prompt image embedding shape; unrelated bugs." + }, + { + "left": "pull_request:8691", + "right": "pull_request:9827", + "accept": false, + "reason": "Both concern LoRA loading, but 8691 changes vanilla LoRA loading semantics while 9827 fixes device_map/offloading behavior during distributed inference." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they apply to different training scripts and are separate documentation refactors." + }, + { + "left": "pull_request:10465", + "right": "pull_request:9751", + "accept": false, + "reason": "Both are NPU/FLUX related, but 10465 removes/adjusts training-script NPU flags while 9751 adds NPU adaptations for FLUX training runtime; not the same concrete fix." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11786", + "accept": false, + "reason": "Different problem classes: Hunyuan DiT test module rename versus a broad CI marker overhaul across many accelerator tests." + }, + { + "left": "pull_request:12739", + "right": "pull_request:13212", + "accept": false, + "reason": "Both are Z-Image support fixes, but 12739 is a type-check/export shim and 13212 changes classifier-free guidance thresholds across pipelines; different defects." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6576", + "accept": false, + "reason": "Both are compile-compatibility training-script edits, but they target different scripts and distinct model workflows (text-to-image vs InstructPix2Pix SDXL)." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8685", + "accept": false, + "reason": "Both are docs updates, but one adds a PEFT/torch.compile note and the other adds an SD3 float8 checkpoint note; no shared underlying change." + }, + { + "left": "pull_request:3847", + "right": "pull_request:4276", + "accept": false, + "reason": "The first adds a dependency-check workflow and soft-dependency test, while the second adds a pipeline-import test; related area, but not the same bug/change." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7246", + "accept": false, + "reason": "Both touch tests, but one fixes PixArt test determinism and the other fixes VAE tiling device selection; unrelated failures." + }, + { + "left": "pull_request:8875", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipeline variants: ControlNet inpaint vs SD img2img. Not the same concrete feature." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12562", + "accept": false, + "reason": "WAN VAE patchify logic and Wan context-parallel crash handling are different code paths and problems." + }, + { + "left": "pull_request:12660", + "right": "pull_request:12737", + "accept": false, + "reason": "Both are context-parallel fixes, but for different models and bugs: ChronoEdit attention behavior vs FLUX.2 input sharding metadata." + }, + { + "left": "pull_request:10005", + "right": "pull_request:10246", + "accept": false, + "reason": "Both are docs-only, but one adds missing Flux pipelines and the other adds missing attention processors; unrelated content." + }, + { + "left": "pull_request:10188", + "right": "pull_request:9827", + "accept": false, + "reason": "One fixes LoRA expansion error messaging and quantized-weight handling, the other fixes offloading/device_map loading; different failures." + }, + { + "left": "pull_request:10255", + "right": "pull_request:10995", + "accept": false, + "reason": "Both tweak LoRA loader comments, but they are distinct comment corrections in different contexts and not the same underlying code change." + }, + { + "left": "pull_request:10279", + "right": "pull_request:10858", + "accept": false, + "reason": "Quantization docs link fixes versus a pipelines overview classification fix; unrelated docs updates." + }, + { + "left": "pull_request:10316", + "right": "pull_request:10524", + "accept": false, + "reason": "Both update docs, but for different pipelines and different issues: removing a bad generator arg from LTX and correcting Hunyuan video checkpoint info." + }, + { + "left": "pull_request:10323", + "right": "pull_request:11505", + "accept": false, + "reason": "Both are link-fix docs PRs, but they modify different pages and different link targets; 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": 265, + "review_unit_index": 17, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Mostly a collection of unrelated docs/test/maintenance PRs. The only clear duplicate-like pair is the tensorboard tracker fix in `examples/unconditional_image_generation/train_unconditional.py` (2541 vs 2566), which is the same underlying code-path change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10434 is the strongest representative overall: it is merged, has an explicit issue target, and makes a broad, coherent docs link fix across many files.", + "best_issue_reason": null, + "best_pr_reason": "PR 10434 is the most representative merged PR in the set, with explicit issue linkage and the clearest substantive scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10394", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs link/image fixes, but they target different pages and different broken references; not the same underlying change." + }, + { + "left": "pull_request:10418", + "right": "pull_request:10434", + "accept": false, + "reason": "Both touch the same tutorial/docs area, but one is a single internal link fix while the other is a broader broken-links sweep across many docs files." + }, + { + "left": "pull_request:10632", + "right": "pull_request:9655", + "accept": false, + "reason": "Different docs pages and different asset paths; no shared bug beyond generic link cleanup." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10978", + "accept": false, + "reason": "Both are Flux LoRA-related, but one fixes training embedding handling and the other fixes LoRA conversion/loading for OneTrainer; different code paths." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11954", + "accept": false, + "reason": "Unrelated test additions for different models and failure modes; not mergeable as one PR." + }, + { + "left": "pull_request:1178", + "right": "pull_request:948", + "accept": false, + "reason": "These are independent typo fixes in different pipeline files." + }, + { + "left": "pull_request:11825", + "right": "pull_request:11954", + "accept": false, + "reason": "Compilation/hotswapping docs+tests versus Hunyuan video slice tests; different concerns and code paths." + }, + { + "left": "pull_request:12827", + "right": "pull_request:12971", + "accept": false, + "reason": "Same doc file, but one fixes code-block syntax while the other removes/repositions a section; not the same underlying bug/change." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13346", + "accept": false, + "reason": "Both are test refactors, but for different model families and different test scopes." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13253", + "accept": false, + "reason": "Different transformer test refactors for different models; no common concrete bug." + }, + { + "left": "pull_request:1437", + "right": "pull_request:948", + "accept": false, + "reason": "Both are typo fixes, but in different pipelines and unrelated text." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3170", + "accept": false, + "reason": "One is a runtime code change, the other is a dependency/version pin; completely different issues." + }, + { + "left": "pull_request:2381", + "right": "pull_request:296", + "accept": false, + "reason": "Dummy-import packaging change versus auth-token test fixes; unrelated." + }, + { + "left": "pull_request:2391", + "right": "pull_request:2678", + "accept": false, + "reason": "Different test fixes in different areas; one is slow-test data, the other is EMA serialization behavior." + }, + { + "left": "pull_request:2541", + "right": "pull_request:2566", + "accept": true, + "reason": "Same example file and same exact fix: use `accelerator.get_tracker(\"tensorboard\")` in the non-new-API branch. This is the same underlying bug/change." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3226", + "accept": false, + "reason": "Both involve ControlNet docs, but one adds training docs entries while the other documents ControlNet v1.1; different deliverables." + }, + { + "left": "pull_request:2764", + "right": "pull_request:3370", + "accept": false, + "reason": "Both edit `torch2.0.mdx`, but they update different claims and sections; not the same change." + }, + { + "left": "pull_request:2825", + "right": "pull_request:4317", + "accept": false, + "reason": "Different DreamBooth example fixes with different behavior changes and files; not duplicates." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4540", + "accept": false, + "reason": "Both update examples docs, but one is README table expansion and the other is an SDXL Colab notebook link addition." + }, + { + "left": "pull_request:3132", + "right": "pull_request:3839", + "accept": false, + "reason": "One corrects a constructor type annotation, the other changes SDE noise handling logic; unrelated." + }, + { + "left": "pull_request:3389", + "right": "pull_request:3440", + "accept": false, + "reason": "Both touch CI/workflows, but they are different test-intent changes and not the same fix." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5101", + "accept": false, + "reason": "Both are documentation link updates, but for different docs pages and different broken targets." + }, + { + "left": "pull_request:3633", + "right": "pull_request:4145", + "accept": false, + "reason": "Dependency pin test versus an UnCLIP pipeline constructor/comment change; unrelated." + }, + { + "left": "pull_request:4258", + "right": "pull_request:4330", + "accept": false, + "reason": "Different README_sdxl doc edits with different content changes, not the same underlying issue." + }, + { + "left": "pull_request:4350", + "right": "pull_request:4946", + "accept": false, + "reason": "Adapter dtype fix versus adding a training overview entry; unrelated docs changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The one accepted duplicate-like pair (2541 vs 2566) is supported by the identical tracker call fix in the same file, and the rejected pairs are plausibly separate bugs/edits. No 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": 265, + "review_unit_index": 18, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is a loose collection of unrelated PRs that only look similar at a high level (LoRA/docs/CI/offload/ControlNet themes). None of the soft edges appear to be the same underlying bug or change, so all should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out: the items span unrelated bug fixes, docs updates, feature work, and CI changes. Similar filenames or subsystem names are too broad to treat as duplicates.", + "best_issue_reason": null, + "best_pr_reason": "No globally best PR for deduping this cluster; the overlap is superficial and not centered on one concrete code-path change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4513", + "right": "pull_request:5871", + "accept": false, + "reason": "Both touch packaging/dependency surfaces, but one is a safetensors pre-release pin and the other is a deprecated scheduler rebase; unrelated changes." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6209", + "accept": false, + "reason": "Both are example README edits, but they address different examples and different fixes: push_to_hub mentions vs a text-to-image test script/import cleanup." + }, + { + "left": "pull_request:4596", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds an SDXL conversion script; the other is a doc-intro placeholder with no shared bug or code path." + }, + { + "left": "pull_request:4607", + "right": "pull_request:4946", + "accept": false, + "reason": "Both are docs overviews, but one adds PushToHubMixin API docs and the other updates the training overview list; not the same change." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6106", + "accept": false, + "reason": "Same repository area only at a broad README level; one fixes custom diffusion training instructions, the other fixes an advanced dreambooth example path/reference." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6282", + "accept": false, + "reason": "Custom diffusion README edits are unrelated to the dreambooth runtime-error fix; different scripts and problems." + }, + { + "left": "pull_request:4717", + "right": "pull_request:6604", + "accept": false, + "reason": "One is a ControlNet docs typo fix, the other exposes AutoencoderKL API entries; no shared bug or change." + }, + { + "left": "pull_request:5626", + "right": "pull_request:7827", + "accept": false, + "reason": "Both mention CPU offload, but one fixes a test assertion and the other updates a docstring example; not the same code-path problem." + }, + { + "left": "pull_request:6017", + "right": "pull_request:6405", + "accept": false, + "reason": "Both are doc-builder tests, but these are different WIP workflow/doc-builder experiments with different files and intent." + }, + { + "left": "pull_request:6018", + "right": "pull_request:6405", + "accept": false, + "reason": "Same as above: unrelated doc-builder test runs, not one concrete change." + }, + { + "left": "pull_request:6100", + "right": "pull_request:6403", + "accept": false, + "reason": "Both edit the same advanced training script, but one adds widget text while the other adds WebUI format support; distinct features, not duplicates." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are large docs typo sweeps, but they target different document sets and corrections; same class of cleanup, not the same change." + }, + { + "left": "pull_request:6209", + "right": "pull_request:7495", + "accept": false, + "reason": "Different README fixes for different examples: one repairs a test script in text-to-image docs, the other fixes Colab links in advanced training docs." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7260", + "accept": false, + "reason": "Both add IP-Adapter support, but to different pipelines and code paths (SDXL ControlNet inpaint vs SAG pipeline), so they are not mergeable as one PR." + }, + { + "left": "pull_request:7150", + "right": "pull_request:9152", + "accept": false, + "reason": "One updates a callback code example; the other expands distributed inference docs. 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not one shared fix." + }, + { + "left": "pull_request:11532", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion helpers, but they target different model families and conversion logic (HiDream vs Qwen)." + }, + { + "left": "pull_request:6729", + "right": "pull_request:7613", + "accept": false, + "reason": "Both standardize model cards, but for different training scripts and different card templates; too broad to be duplicates." + }, + { + "left": "pull_request:2602", + "right": "pull_request:4513", + "accept": false, + "reason": "Different dependency pins for different packages and purposes; no shared underlying bug or change." + }, + { + "left": "pull_request:3127", + "right": "pull_request:3128", + "accept": false, + "reason": "Both touch img2img-related code/tests, but one fixes safety-checker output handling and the other fixes timestep selection; distinct bugs." + }, + { + "left": "pull_request:4795", + "right": "pull_request:5298", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different modules and mechanisms (ControlNet forward logic vs LoRA conv forward implementation)." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7118", + "accept": false, + "reason": "A broad typo sweep and a smaller docs typo fix are the same class of maintenance, but not the same concrete change." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6225", + "accept": false, + "reason": "Both concern LoRA/PEFT, but one fixes xformers interaction and the other fixes alpha parsing; 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not the same bug." + }, + { + "left": "pull_request:4799", + "right": "pull_request:6999", + "accept": false, + "reason": "Different pipelines and different bugs: ControlNet SDXL guess_mode versus Stable Video Diffusion image-tensor handling." + }, + { + "left": "pull_request:12681", + "right": "pull_request:13039", + "accept": false, + "reason": "One fixes failing CPU pipeline tests across several models; the other changes Wan Animate upcasting logic in core model code." + }, + { + "left": "pull_request:10183", + "right": "pull_request:11550", + "accept": false, + "reason": "Both are single-file loading support, but for different models and formats (AutoencoderDC vs HiDream GGUF); not mergeable as one fix." + }, + { + "left": "pull_request:1026", + "right": "pull_request:2839", + "accept": false, + "reason": "Both are README/docs updates, but they cover different example sets and unrelated content changes." + }, + { + "left": "pull_request:10279", + "right": "pull_request:11473", + "accept": false, + "reason": "Both are quantization docs fixes, but they address different pages and different mistakes." + }, + { + "left": "pull_request:10299", + "right": "pull_request:11529", + "accept": false, + "reason": "The first is a specific GGUF docs example fix; 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I would not merge any of the soft edges.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3504 is the most central substantive code change in the set and includes tests, but the cluster is too heterogeneous to have a true duplicate canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 3504 is the best representative only in a loose sense because it is a real code-path change rather than a doc-only or tiny test tweak.", + "soft_edge_verdicts": [ + { + "left": "pull_request:178", + "right": "pull_request:903", + "accept": false, + "reason": "Stable Diffusion test update vs inpainting pipeline deprecation; different changes." + }, + { + "left": "pull_request:1927", + "right": "pull_request:386", + "accept": false, + "reason": "General Stable Diffusion guide vs API docs page; unrelated doc content." + }, + { + "left": "pull_request:2330", + "right": "pull_request:2699", + "accept": false, + "reason": "Foundation ethical-guidelines page vs later safety-checker subsection in the same file; follow-up, not duplicate." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2767", + "accept": false, + "reason": "Different training scripts and fixes: xformers warning removal vs PEFT flag rename." + }, + { + "left": "pull_request:2526", + "right": "pull_request:2678", + "accept": false, + "reason": "Separate test suites and failures; one adjusts tolerances, the other changes serialization setup." + }, + { + "left": "pull_request:2559", + "right": "pull_request:4582", + "accept": false, + "reason": "Docs formatting fix vs ControlNet SDXL docstring example correction." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3852", + "accept": false, + "reason": "Different docs additions on unrelated pages." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3626", + "accept": false, + "reason": "Both mention LoRA scale, but one is inpaint support and the other is a broader draft for text-encoder scale across many files." + }, + { + "left": "pull_request:3460", + "right": "pull_request:3626", + "accept": false, + "reason": "Broad multi-file LoRA scale draft is not the same concrete change as inpaint lora-scale support." + }, + { + "left": "pull_request:3472", + "right": "pull_request:4893", + "accept": false, + "reason": "DreamBooth IF training docs vs LoRA-fusion scale guidance; 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no shared 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": 265, + "review_unit_index": 30, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly weakly similar but not duplicate-prone: it mixes unrelated docs, test, release, and feature PRs. I found no soft edges strong enough to merge; the closest ones are same-file follow-ups, but they still change different code paths or different feature scopes.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11532 is the most self-contained concrete feature change here: a merged HiDream LoRA conversion/pipeline support PR with a single clear code path and no broader cross-cutting edits.", + "best_issue_reason": null, + "best_pr_reason": "PR 9017 is the broadest substantive PR in the set, but it is still a distinct AuraFlow feature rather than a duplicate of the others; if one artifact had to anchor the cluster, this is the strongest representative by scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5945", + "right": "pull_request:6962", + "accept": false, + "reason": "Both touch PixArt tests, but one removes slow-suite fast tests while the other changes a slow-test assertion; same area, different test failures and fixes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6403", + "accept": false, + "reason": "One is a help-text/docstring cleanup; the other adds WebUI format support and loader logic. Same file, different change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7124", + "accept": false, + "reason": "Help text improvements and a kwarg rename in training are unrelated fixes, not the same bug/change." + }, + { + "left": "pull_request:6145", + "right": "pull_request:6537", + "accept": false, + "reason": "Both are LCM distillation scripts, but one cleans comments/validation logging and the other adds a target-model option. Different functionality." + }, + { + "left": "pull_request:6174", + "right": "pull_request:6837", + "accept": false, + "reason": "A docs punctuation fix and a separate dependency-order tweak in a pipeline doc are not the same issue." + }, + { + "left": "pull_request:6174", + "right": "pull_request:7425", + "accept": false, + "reason": "Missing backslashes in LoRA docs and missing output image content are different documentation fixes." + }, + { + "left": "pull_request:6361", + "right": "pull_request:6403", + "accept": false, + "reason": "One fixes LoRA key conversion on save; the other adds WebUI-format import/export support. Related topic, different concrete change." + }, + { + "left": "pull_request:6440", + "right": "pull_request:7029", + "accept": false, + "reason": "These are separate docs fixes on different pages: local link cleanup vs alt-text/image URL cleanup." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8715", + "accept": false, + "reason": "Both edit the advanced DreamBooth LoRA script, but one fixes resume behavior and the other adds clip_skip support. Not the same underlying bug." + }, + { + "left": "pull_request:6655", + "right": "pull_request:7124", + "accept": false, + "reason": "One modularizes training-time inference; the other renames a kwarg in a validation call. Different scope and code path." + }, + { + "left": "pull_request:6875", + "right": "pull_request:7260", + "accept": false, + "reason": "A test expectation update for IP Adapter is not the same as adding IP Adapter support to SAG pipeline code." + }, + { + "left": "pull_request:7227", + "right": "pull_request:7236", + "accept": false, + "reason": "One adds DoRA parser/LoRA config support; the other fixes embedding save paths. Same file, different features." + }, + { + "left": "pull_request:830", + "right": "pull_request:833", + "accept": false, + "reason": "These are sequential release version bumps (0.5.0 to 0.5.1), not duplicates of the same change." + }, + { + "left": "pull_request:869", + "right": "pull_request:879", + "accept": false, + "reason": "Both update the community README, but one fixes an import bug and expands README content while the other adjusts the examples table. Different edits." + }, + { + "left": "pull_request:874", + "right": "pull_request:930", + "accept": false, + "reason": "A generic community pipeline example and a broader custom-pipeline docs restructure are not the same change." + }, + { + "left": "pull_request:4295", + "right": "pull_request:4417", + "accept": false, + "reason": "Zero123 community pipeline implementation and broader Zero123 support/docs changes overlap by topic, but they are not the same concrete PR change." + }, + { + "left": "pull_request:2193", + "right": "pull_request:3779", + "accept": false, + "reason": "Adding SAG Stable Diffusion and adding segmentation output are different feature requests for different pipeline behavior." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6184", + "accept": false, + "reason": "One fixes PEFT/xformers attention calls; the other fixes offline LoRA weight discovery. Different code paths and failures." + }, + { + "left": "pull_request:12439", + "right": "pull_request:12812", + "accept": false, + "reason": "Both touch kernels-based attention dispatch, but one adds backend support while the other enables checkpointing wrappers. Same subsystem, different concrete change." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12681", + "accept": false, + "reason": "A huggingface-hub test/doc compatibility fix and a CPU pipeline test fix are unrelated CI issues." + }, + { + "left": "pull_request:3859", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL pipeline addition and SDXL inpainting addition are related releases, but not the same code-path change." + }, + { + "left": "pull_request:7233", + "right": "pull_request:9257", + "accept": false, + "reason": "DoRA training for SDXL LoRA and Flux dreambooth alignment are different scripts/models, not duplicates." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9017", + "accept": false, + "reason": "SD3 LoRA fusion and AuraFlow LoRA support are distinct model-feature implementations." + }, + { + "left": "pull_request:11532", + "right": "pull_request:11660", + "accept": false, + "reason": "The second PR extends HiDream LoRA handling with a new format-detection path; it is a follow-up enhancement, not the same concrete change as the first." + }, + { + "left": "pull_request:12687", + "right": "pull_request:12914", + "accept": false, + "reason": "A typo fix in autoencoder_dc and a revision-string typo fix in Cosmos docs/code are unrelated." + }, + { + "left": "pull_request:1370", + "right": "pull_request:874", + "accept": false, + "reason": "Both touch community README content, but one updates an inpainting example and the other adds a generic pipeline example. 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Different underlying change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6795", + "accept": false, + "reason": "One is help-text cleanup, while the other adds SDXL micro-conditioning support. No shared bug or fix." + }, + { + "left": "pull_request:6402", + "right": "pull_request:6556", + "accept": false, + "reason": "Both affect LoRA training scripts, but one restores gradient checkpointing while the other makes SDXL LoRA torch.compile compatible." + }, + { + "left": "pull_request:6403", + "right": "pull_request:7182", + "accept": false, + "reason": "Both touch the advanced SDXL DreamBooth script, but one adds WebUI-format support and the other adds EDM-style training. Different features." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4694", + "accept": false, + "reason": "One adds SDXL single-file inpainting support; the other adds ControlNet SDXL inpainting support. Same broad area, different pipeline." + }, + { + "left": "pull_request:10259", + "right": "pull_request:11546", + "accept": false, + "reason": "One enables loading regular Flux LoRAs into Flux Control/Fill; the other supports HunyuanVideo FramePack LoRA loading. Different model families." + }, + { + "left": "pull_request:10376", + "right": "pull_request:11572", + "accept": false, + "reason": "Both add non-diffusers LoRA conversion support, but for different models: HunyuanVideo original-format LoRAs vs LTX-Video LoRAs." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6717", + "accept": false, + "reason": "One is a WIP LCM distillation script, the other is a consistency training example. Different training methods and codepaths." + }, + { + "left": "pull_request:12188", + "right": "pull_request:12190", + "accept": false, + "reason": "Both edit Qwen-Image-Edit, but one fixes a width/height bug and the other removes auto-resize/preset-resolution logic for performance. Not the same fix." + }, + { + "left": "pull_request:2994", + "right": "pull_request:4223", + "accept": false, + "reason": "One fixes type casting in ControlNet training; the other fixes SDXL ControlNet training script argument/config issues. Different bugs." + }, + { + "left": "pull_request:3135", + "right": "pull_request:3248", + "accept": false, + "reason": "Both are ControlNet training script changes, but one enforces divisible-by-8 resizing while the other fixes logging image shape/channel handling." + }, + { + "left": "pull_request:6884", + "right": "pull_request:6946", + "accept": false, + "reason": "Both touch IP-Adapter scaling/loading, but one validates scale length and the other adds low_cpu_mem_usage support. Separate issues." + }, + { + "left": "pull_request:10378", + "right": "pull_request:9682", + "accept": false, + "reason": "Both involve DreamBooth training, but one is an accelerator/distributed-type save hook fix for SD3 and the other is a broader SD3 training updates/bug-fixes PR." + }, + { + "left": "pull_request:10481", + "right": "pull_request:10517", + "accept": false, + "reason": "One changes Sana's default clean_caption flag; the other is a separate Sana 4K pipeline bug fix with no shared patch." + }, + { + "left": "pull_request:13056", + "right": "pull_request:13255", + "accept": false, + "reason": "One introduces Z-Image DreamBooth training assets; the other fixes Z-Image non-diffusers LoRA loading. Related ecosystem, but different changes." + }, + { + "left": "pull_request:4762", + "right": "pull_request:5275", + "accept": false, + "reason": "One updates an SDXL text-to-image README with a VAE note; the other adds a JAX/TPU SDXL research example. 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": 265, + "review_unit_index": 32, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is a heterogeneous grab-bag of unrelated PRs (features, tests, docs, CI, and follow-up fixes). 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different issues." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10576", + "accept": false, + "reason": "Flux LoRA integration tests vs 8-bit quantized model LoRA-loading tests; same broad topic, different concrete behavior." + }, + { + "left": "pull_request:4461", + "right": "pull_request:4595", + "accept": false, + "reason": "Concrete pipeline_class_name implementation vs a WIP reverse-conversion PR with no diff; not duplicates." + }, + { + "left": "pull_request:4666", + "right": "pull_request:6179", + "accept": false, + "reason": "SDXL ControlNet LoRA support vs fused attention projection support for other pipelines; separate features." + }, + { + "left": "pull_request:7212", + "right": "pull_request:7720", + "accept": false, + "reason": "TemporalBasicTransformerBlock cleanup vs unrelated dead-code removal across scripts and utilities." + }, + { + "left": "pull_request:6975", + "right": "pull_request:7476", + "accept": false, + "reason": "Single-file ControlNet inpaint fix vs a multi-ControlNet torch.compile bug in SDXL inpaint." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11754", + "accept": false, + "reason": "Test-module rename for Hunyuan DiT vs HiDream test-module rename; same pattern, different targets and changes." + }, + { + "left": "pull_request:2037", + "right": "pull_request:243", + "accept": false, + "reason": "Community Stable UnCLIP addition vs a WIP RePaint pipeline draft; not the same artifact." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8902", + "accept": false, + "reason": "LoRA test expectation refresh vs sharded-checkpoint loading fixes; unrelated." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10376", + "accept": false, + "reason": "Flux Control/Fill LoRA-loading support vs HunyuanVideo LoRA format conversion support; different models 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": 265, + "review_unit_index": 33, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 heterogeneous: it mixes docs-only fixes, model support/features, tests, and unrelated bug fixes. 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not the same fix." + }, + { + "left": "pull_request:10279", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs fixes, but they cover unrelated documentation areas and different link/image corrections." + }, + { + "left": "pull_request:10349", + "right": "pull_request:10947", + "accept": false, + "reason": "Both touch single-file loading, but for different model families and different conversion logic." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10418", + "accept": false, + "reason": "Both are internal-link docs fixes, but they target different docs pages and unrelated broken links." + }, + { + "left": "pull_request:10578", + "right": "pull_request:9542", + "accept": false, + "reason": "Both are LoRA-related, but one enables 4-bit Flux LoRA loading while the other handles Kohya Flux LoRAs with text encoders." + }, + { + "left": "pull_request:1063", + "right": "pull_request:1178", + "accept": false, + "reason": "Both are tiny correctness/typo fixes, but they change unrelated files and different code paths." + }, + { + "left": "pull_request:1073", + "right": "pull_request:879", + "accept": false, + "reason": "Both edit DreamBooth/community docs, but they fix different README issues and are not the same change." + }, + { + "left": "pull_request:10845", + "right": "pull_request:11373", + "accept": false, + "reason": "Both are Flux-related training docs/code, but one fixes T5 embedding handling and the other addresses ControlNet training stability/validation." + }, + { + "left": "pull_request:10922", + "right": "pull_request:12230", + "accept": false, + "reason": "Both are Wan docs, but one introduces the Wan implementation and the other only renames/adjusts docs wording." + }, + { + "left": "pull_request:10943", + "right": "pull_request:11243", + "accept": false, + "reason": "Both are Wan LoRA-related, but one adds Wan LoRA support and the other adds a specific musubi-Wan LoRA conversion path." + }, + { + "left": "pull_request:11327", + "right": "pull_request:11348", + "accept": false, + "reason": "Both update AuraFlow docs, but one adds a compile snippet and the other adds an explanatory note." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11740", + "accept": false, + "reason": "One is a Wan torch.compile test and the other is GGUF compile/offload tests; different models and goals." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11953", + "accept": false, + "reason": "One tests Wan torch.compile behavior, the other adds fast inference slices for HiDream; unrelated." + }, + { + "left": "pull_request:11552", + "right": "pull_request:11740", + "accept": false, + "reason": "Both are tests for different models; no shared bug or change path." + }, + { + "left": "pull_request:1162", + "right": "pull_request:754", + "accept": false, + "reason": "Both are docs/community oriented but fix unrelated content and different files." + }, + { + "left": "pull_request:1167", + "right": "pull_request:16", + "accept": false, + "reason": "Both touch README.md, but they are unrelated README edits years apart." + }, + { + "left": "pull_request:1167", + "right": "pull_request:1960", + "accept": false, + "reason": "Both are README updates, but they affect different examples and different issues." + }, + { + "left": "pull_request:121", + "right": "pull_request:694", + "accept": false, + "reason": "Both are early README/README-like docs edits, but they do not address the same change." + }, + { + "left": "pull_request:1283", + "right": "pull_request:1605", + "accept": false, + "reason": "Both are Versatile Diffusion changes, but one adds the model and the other only adds an upcast_attention parameter." + }, + { + "left": "pull_request:1346", + "right": "pull_request:1998", + "accept": false, + "reason": "Both are README updates, but they fix different example snippets and documentation 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": 265, + "review_unit_index": 34, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly a grab-bag of unrelated Stable Diffusion/docs/version/test PRs; 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Same area, but not the same bug/change." + }, + { + "left": "pull_request:1360", + "right": "pull_request:3265", + "accept": false, + "reason": "#1360 is a new community pipeline addition; #3265 is a revert-of-revert for lpw_stable_diffusion. Not the same underlying change." + }, + { + "left": "pull_request:1394", + "right": "pull_request:1682", + "accept": false, + "reason": "Both bump versions, but to different releases and in different commits; this is not a duplicate bug/fix." + }, + { + "left": "pull_request:1415", + "right": "pull_request:1622", + "accept": false, + "reason": "#1415 is a broad stable-diffusion bug-fix sweep; #1622 fixes LPW pipeline compatibility with PIL imports/version handling. Different concrete changes." + }, + { + "left": "pull_request:1496", + "right": "pull_request:178", + "accept": false, + "reason": "Docs for Habana Gaudi vs adding Stable Diffusion tests; unrelated edits." + }, + { + "left": "pull_request:1496", + "right": "pull_request:555", + "accept": false, + "reason": "Habana docs and Flax VAE implementation are unrelated." + }, + { + "left": "pull_request:1496", + "right": "pull_request:889", + "accept": false, + "reason": "Habana docs vs adding pipeline components support; not the same change." + }, + { + "left": "pull_request:168", + "right": "pull_request:903", + "accept": false, + "reason": "#168 introduces Stable Diffusion pipeline support; #903 deprecates the old inpainting pipeline. Related subsystem, but different code-path changes." + }, + { + "left": "pull_request:1723", + "right": "pull_request:333", + "accept": false, + "reason": "Latent Diffusion latents input support vs Latent Diffusion uncond type hints. Same file family, different change." + }, + { + "left": "pull_request:1758", + "right": "pull_request:3795", + "accept": false, + "reason": "Both are docs, but one is Dreambooth-specific and the other is pipeline overview updates. Not the same underlying change." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3531", + "accept": false, + "reason": "Both touch attention mask handling, but one removes an unused mask from versatile attention and the other changes padding validation in attention_processor. Different bug fixes." + }, + { + "left": "pull_request:1769", + "right": "pull_request:2062", + "accept": false, + "reason": "#1769 only adjusts UnCLIP tests/memory thresholds; #2062 fixes paint-by-example CPU offload behavior in code. Not duplicates." + }, + { + "left": "pull_request:2009", + "right": "pull_request:888", + "accept": false, + "reason": "#2009 adds textual inversion loading across stable diffusion pipelines; #888 adds CycleDiffusion. Same ecosystem, different feature work." + }, + { + "left": "pull_request:2406", + "right": "pull_request:3321", + "accept": false, + "reason": "Both edit the controlling-generation docs, but they add different content at different times; not the same change." + }, + { + "left": "pull_request:252", + "right": "pull_request:694", + "accept": false, + "reason": "README edits in different locations and for different content (general examples vs schedulers README). Not a duplicate." + }, + { + "left": "pull_request:2526", + "right": "pull_request:2915", + "accept": false, + "reason": "Both relax slow-test expectations, but they target different tests/pipelines and different expected outputs." + }, + { + "left": "pull_request:2526", + "right": "pull_request:689", + "accept": false, + "reason": "#2526 is test-threshold churn across several pipelines; #689 changes attention math implementation. Different scope and purpose." + }, + { + "left": "pull_request:2566", + "right": "pull_request:3123", + "accept": false, + "reason": "TensorBoard logger fix in training script vs a JAX textual inversion typo fix. Unrelated." + }, + { + "left": "pull_request:2583", + "right": "pull_request:2604", + "accept": false, + "reason": "Both fix docs links, but one is a dataset URL in text-to-image docs and the other is a Colab link in the index. Different edits." + }, + { + "left": "pull_request:2760", + "right": "pull_request:645", + "accept": false, + "reason": "Different textual inversion-related projects: one is a new quantization/distillation example, the other adds checkpoint saving during training." + }, + { + "left": "pull_request:325", + "right": "pull_request:400", + "accept": false, + "reason": "#325 is type hints for Score SDE VE; #400 is docs plus pipeline/training references. Not the same concrete change." + }, + { + "left": "pull_request:330", + "right": "pull_request:365", + "accept": false, + "reason": "Both are type-hint cleanups, but on different model classes (UNet vs VAE). Not duplicates." + }, + { + "left": "pull_request:3334", + "right": "pull_request:4952", + "accept": false, + "reason": "Both touch pipeline_utils docs, but they fix different docstrings/method descriptions. Not the same underlying change." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3542", + "accept": false, + "reason": "Both mention LoRA support, but #3458 targets Stable Diffusion inpaint while #3542 targets ControlNet. Different pipelines and code paths." + }, + { + "left": "pull_request:3460", + "right": "pull_request:3542", + "accept": false, + "reason": "#3460 adds inpaint LoRA-scale support; #3542 adds ControlNet LoRA support. Same theme, different implementation targets." + }, + { + "left": "pull_request:3472", + "right": "pull_request:3945", + "accept": false, + "reason": "Dreambooth IF docs vs adding a rank parameter to LoRA training script. Different artifacts 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": 1, + "component_count": 265, + "review_unit_index": 35, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is heterogeneous: most items are unrelated docs/example tweaks or distinct bug fixes across different pipelines and training scripts. 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Not the same underlying issue." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12069", + "accept": false, + "reason": "Hugging Face auth/docs and AudioLDM2 test fixes 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": 265, + "review_unit_index": 37, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Most of the soft pairs are only superficially similar (same subsystem, same docs/tests area, or same buzzwords) but do not fix the same concrete bug/change. 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not the same underlying issue." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12360", + "accept": false, + "reason": "One is a docstring/doc example cleanup; the other is a Chroma guidance text fix." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2062", + "accept": false, + "reason": "One fixes example README links; the other changes paint-by-example CPU-offload behavior." + }, + { + "left": "pull_request:11531", + "right": "pull_request:11634", + "accept": false, + "reason": "Both update torchao docs, but they fix different documentation details and 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": 265, + "review_unit_index": 38, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1162", + "pull_request:11847", + "pull_request:11983", + "pull_request:12069", + "pull_request:121", + "pull_request:1218", + "pull_request:12265", + "pull_request:1230", + "pull_request:12360", + "pull_request:12418", + "pull_request:12420", + "pull_request:12425", + "pull_request:12438", + "pull_request:12490", + "pull_request:12530", + "pull_request:12552", + "pull_request:12731", + "pull_request:12757", + "pull_request:12775", + "pull_request:12782", + "pull_request:1291", + "pull_request:12971", + "pull_request:12984", + "pull_request:13039", + "pull_request:13055", + "pull_request:13254", + "pull_request:13315", + "pull_request:13335", + "pull_request:13368", + "pull_request:13369", + "pull_request:13424", + "pull_request:13469", + "pull_request:1373", + "pull_request:1394", + "pull_request:1406", + "pull_request:1408", + "pull_request:1412", + "pull_request:1418", + "pull_request:1425", + "pull_request:1490", + "pull_request:17", + "pull_request:1861", + "pull_request:21", + "pull_request:22", + "pull_request:260", + "pull_request:286", + "pull_request:3241", + "pull_request:3345" + ], + "soft_pairs": [ + "pull_request:1162|pull_request:3345", + "pull_request:11847|pull_request:12360", + "pull_request:11983|pull_request:12731", + "pull_request:11983|pull_request:12757", + "pull_request:11983|pull_request:12971", + "pull_request:12069|pull_request:12418", + "pull_request:121|pull_request:1861", + "pull_request:121|pull_request:260", + "pull_request:1218|pull_request:1408", + "pull_request:12265|pull_request:12552", + "pull_request:1230|pull_request:3241", + "pull_request:12418|pull_request:12530", + "pull_request:12420|pull_request:12425", + "pull_request:12438|pull_request:13055", + "pull_request:12490|pull_request:13424", + "pull_request:12775|pull_request:12984", + "pull_request:12782|pull_request:13469", + "pull_request:1291|pull_request:286", + "pull_request:13039|pull_request:13469", + "pull_request:13254|pull_request:13368", + "pull_request:13254|pull_request:13369", + "pull_request:13315|pull_request:13368", + "pull_request:13315|pull_request:13369", + "pull_request:13335|pull_request:13368", + "pull_request:13335|pull_request:13369", + "pull_request:1373|pull_request:1418", + "pull_request:1394|pull_request:1490", + "pull_request:1406|pull_request:1408", + "pull_request:1412|pull_request:21", + "pull_request:1412|pull_request:22", + "pull_request:1425|pull_request:17" + ], + "prepared_review_unit_hash": "0925dc1bb41b88b5d534ae7d3e98ff57bce88929cb87f838de977b140d7f13ef", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 97824, + "estimated_input_tokens": 24456, + "estimated_eval_tokens": 49168 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Loose cluster of unrelated low-risk maintenance PRs: docs typos/link fixes, test/CI flakiness tweaks, and a few feature/docs additions. 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not mergeable as one change." + }, + { + "left": "pull_request:12418", + "right": "pull_request:12530", + "accept": false, + "reason": "Both xfail tests, but they target different failing suites and different transformers-version issues." + }, + { + "left": "pull_request:12420", + "right": "pull_request:12425", + "accept": false, + "reason": "Related imports, but one is attention dispatch and the other is context parallel hooks; distinct code paths." + }, + { + "left": "pull_request:12438", + "right": "pull_request:13055", + "accept": false, + "reason": "Different loader vs Wan pipeline fixes; same broad area only, not the same bug." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13424", + "accept": false, + "reason": "Separate test-suite adjustments for different autoencoder/pipeline components." + }, + { + "left": "pull_request:12775", + "right": "pull_request:12984", + "accept": false, + "reason": "Two different feature/docs additions for different models; no shared underlying change." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13469", + "accept": false, + "reason": "Different test fixes in unrelated suites: Hunyuan offloading vs attention-processor deprecation handling." + }, + { + "left": "pull_request:1291", + "right": "pull_request:286", + "accept": false, + "reason": "Both touch links, but they fix different broken references in different README files." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13469", + "accept": false, + "reason": "Wan CPU upcasting fix vs attention-processor test deprecation; unrelated code paths." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13368", + "accept": false, + "reason": "Different transformer/autoencoder test refactors; not the same model or failure." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13369", + "accept": false, + "reason": "LTX transformer test refactor vs AutoencoderDC test refactor; unrelated changes." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13368", + "accept": false, + "reason": "Sana transformer tests vs AutoencoderKL tests; different components and fixes." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13369", + "accept": false, + "reason": "Sana transformer tests vs AutoencoderDC tests; not the same issue." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13368", + "accept": false, + "reason": "Cosmos transformer tests vs AutoencoderKL tests; different test targets and motivations." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13369", + "accept": false, + "reason": "Cosmos transformer tests vs AutoencoderDC tests; unrelated refactors." + }, + { + "left": "pull_request:1373", + "right": "pull_request:1418", + "accept": false, + "reason": "Versatile Diffusion extension work vs fixes for remaining tests; different scope and code paths." + }, + { + "left": "pull_request:1394", + "right": "pull_request:1490", + "accept": false, + "reason": "A version bump and a later deprecation sweep are repository-wide maintenance, but they are not the same change." + }, + { + "left": "pull_request:1406", + "right": "pull_request:1408", + "accept": false, + "reason": "Related Stable Diffusion conversion-era work, but one is deprecating sample size and the other fixes a conversion script bug." + }, + { + "left": "pull_request:1412", + "right": "pull_request:21", + "accept": false, + "reason": "Stable Diffusion 2 inpainting integration tests vs core model-test additions; unrelated artifacts." + }, + { + "left": "pull_request:1412", + "right": "pull_request:22", + "accept": false, + "reason": "SD2 inpainting tests vs a GLIDE UNet logging fix; different subsystems and purposes." + }, + { + "left": "pull_request:1425", + "right": "pull_request:17", + "accept": false, + "reason": "Both are typo cleanups, but they are from different docs eras/files and do not represent 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": 1, + "component_count": 265, + "review_unit_index": 39, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1555", + "pull_request:1558", + "pull_request:1610", + "pull_request:1690", + "pull_request:17", + "pull_request:178", + "pull_request:1861", + "pull_request:1937", + "pull_request:2006", + "pull_request:2010", + "pull_request:2077", + "pull_request:21", + "pull_request:2134", + "pull_request:2137", + "pull_request:2172", + "pull_request:2175", + "pull_request:22", + "pull_request:2290", + "pull_request:2320", + "pull_request:2333", + "pull_request:252", + "pull_request:2526", + "pull_request:2540", + "pull_request:2542", + "pull_request:2566", + "pull_request:2569", + "pull_request:260", + "pull_request:2873", + "pull_request:299", + "pull_request:3066", + "pull_request:3266", + "pull_request:3318", + "pull_request:353", + "pull_request:3549", + "pull_request:3710", + "pull_request:3848", + "pull_request:392", + "pull_request:407", + "pull_request:408", + "pull_request:421", + "pull_request:4320", + "pull_request:4822", + "pull_request:568", + "pull_request:710", + "pull_request:798", + "pull_request:840", + "pull_request:889", + "pull_request:904" + ], + "soft_pairs": [ + "pull_request:1555|pull_request:2006", + "pull_request:1558|pull_request:260", + "pull_request:1558|pull_request:353", + "pull_request:1558|pull_request:407", + "pull_request:1558|pull_request:798", + "pull_request:1610|pull_request:178", + "pull_request:1690|pull_request:840", + "pull_request:17|pull_request:568", + "pull_request:178|pull_request:21", + "pull_request:178|pull_request:22", + "pull_request:178|pull_request:299", + "pull_request:178|pull_request:904", + "pull_request:1861|pull_request:252", + "pull_request:1937|pull_request:2172", + "pull_request:2006|pull_request:3266", + "pull_request:2010|pull_request:421", + "pull_request:2077|pull_request:3318", + "pull_request:2134|pull_request:260", + "pull_request:2134|pull_request:353", + "pull_request:2134|pull_request:407", + "pull_request:2134|pull_request:798", + "pull_request:2137|pull_request:408", + "pull_request:2137|pull_request:568", + "pull_request:2175|pull_request:3549", + "pull_request:2175|pull_request:889", + "pull_request:2290|pull_request:710", + "pull_request:2320|pull_request:4320", + "pull_request:2333|pull_request:408", + "pull_request:252|pull_request:260", + "pull_request:2526|pull_request:3066", + "pull_request:2540|pull_request:2873", + "pull_request:2540|pull_request:392", + "pull_request:2542|pull_request:3848", + "pull_request:2566|pull_request:4320", + "pull_request:2566|pull_request:4822", + "pull_request:2569|pull_request:3710" + ], + "prepared_review_unit_hash": "c6db2294197a1a937018fcdec34f20d0237ca744cf2c6d9c14f356930e03b732", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 36, + "serialized_chars": 94484, + "estimated_input_tokens": 23621, + "estimated_eval_tokens": 47498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab-bag of typo/doc/example/test/utility PRs. 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Different docs and different edits." + }, + { + "left": "pull_request:2915", + "right": "pull_request:3614", + "accept": false, + "reason": "Both touch stable-diffusion tests, but one loosens a textual inversion tolerance and the other changes a deterministic attn test setup; distinct bugs." + }, + { + "left": "pull_request:2958", + "right": "pull_request:3226", + "accept": false, + "reason": "ControlNet inpaint code/docs vs ControlNet v1.1 docs; unrelated changes." + }, + { + "left": "pull_request:2958", + "right": "pull_request:3458", + "accept": false, + "reason": "The inpaint lora-scale PR adds API support, while #2958 adds the inpaint pipeline itself; not the same fix." + }, + { + "left": "pull_request:2958", + "right": "pull_request:3460", + "accept": false, + "reason": "These are different inpainting-related changes: pipeline addition vs a later API/support patch. 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Different code paths and issues." + }, + { + "left": "pull_request:3241", + "right": "pull_request:5292", + "accept": false, + "reason": "Both adjust tests, but for different pipelines and performance/determinism reasons; not the same concrete bug." + }, + { + "left": "pull_request:3331", + "right": "pull_request:4203", + "accept": false, + "reason": "Both are docs typo fixes, but one is inpainting docs and the other is DreamBooth README wording; unrelated." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3806", + "accept": false, + "reason": "Both are training-example docs, but one adds a local directory note for LoRA while the other explains loading from checkpoints for text-to-image training; distinct docs changes." + }, + { + "left": "pull_request:3446", + "right": "pull_request:3641", + "accept": false, + "reason": "Warning-message formatting vs initial-latents inpainting behavior; different code paths and no shared bug." + }, + { + "left": "pull_request:353", + "right": "pull_request:407", + "accept": false, + "reason": "A UNet block typo fix and an attention-slicing API typo fix are unrelated." + }, + { + "left": "pull_request:353", + "right": "pull_request:798", + "accept": false, + "reason": "Different files and issues: UNet block error message vs UNet2D docstring formatting." + }, + { + "left": "pull_request:353", + "right": "pull_request:972", + "accept": false, + "reason": "UNet block typo vs README parameter typo; 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Not the same mergeable change." + }, + { + "left": "pull_request:46", + "right": "pull_request:55", + "accept": false, + "reason": "Both refactor ResNet-related code, but they merge different source families and include different structural changes." + }, + { + "left": "pull_request:46", + "right": "pull_request:59", + "accept": false, + "reason": "Shared ResNet file, but one merges LDM into ResNet and the other finalizes a different 2D ResNet variant; not the same bug/change." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5943", + "accept": false, + "reason": "One adds LoRA support for SDXL ControlNet; the other adds gradient checkpointing to Transformer2DModel. Different functionality." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4833", + "accept": false, + "reason": "One fixes SDXL DreamBooth LoRA checkpoint loading, the other fixes LoRA unfuse/save behavior; related domain but different concrete problems." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5506", + "accept": false, + "reason": "Both involve offloading/PEFT-related behavior, but one is accelerate hook handling during side loading and the other is xformers/LoRA scaling in attention." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6592", + "accept": false, + "reason": "Both are training-example PRs, but one adds T2I-Adapter training docs/scripts and the other adds an inpainting SDXL script; different features." + }, + { + "left": "pull_request:5", + "right": "pull_request:6", + "accept": false, + "reason": "Linked by the same UNetLDM lineage, but one adds the model file and the other only exports it in package init; not duplicate changes." + }, + { + "left": "pull_request:5", + "right": "pull_request:971", + "accept": false, + "reason": "A core model implementation PR versus a community example README/code PR; unrelated." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6669", + "accept": false, + "reason": "One updates contributor README code fences, the other updates repo statistics in the main README; different documentation 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": 265, + "review_unit_index": 43, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "The cluster is a grab bag of mostly unrelated docs fixes, typos, CI tweaks, and a few distinct feature/code changes. I found no pair that looks like the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.72, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. As a PR representative, #5506 is the cleanest self-contained bug fix with a concrete runtime code-path change, but it does not duplicate the other items.", + "best_issue_reason": null, + "best_pr_reason": "#5506 is the best overall representative: it fixes a specific attention/LoRA runtime issue in code, is merged, and is more substantive than the many docs-only or typo-only changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5499", + "right": "pull_request:6998", + "accept": false, + "reason": "Both are docs-only link/callout fixes in different files; they do not address the same underlying change." + }, + { + "left": "pull_request:55", + "right": "pull_request:59", + "accept": false, + "reason": "Both touch resnet internals, but they are different refactors for different model families and code paths." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5823", + "accept": false, + "reason": "5506 fixes an xFormers/PEFT attention bug; 5823 adds adapter_names support for fuse_lora. Related area, but different functionality." + }, + { + "left": "pull_request:555", + "right": "pull_request:824", + "accept": false, + "reason": "One adds Flax VAE support; the other adds a Flax test harness update. Not the same change." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6198", + "accept": false, + "reason": "LCM img2img bug fix vs benchmark reporting helper; unrelated changes." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5727", + "accept": false, + "reason": "One adds tests, the other adds scripts for LCM. Same theme, but not the same concrete fix." + }, + { + "left": "pull_request:5745", + "right": "pull_request:6475", + "accept": false, + "reason": "Both are doc updates for different models; no shared bug or identical edit." + }, + { + "left": "pull_request:5745", + "right": "pull_request:7015", + "accept": false, + "reason": "Different documentation corrections in different areas; not duplicate work." + }, + { + "left": "pull_request:5818", + "right": "pull_request:7324", + "accept": false, + "reason": "CI workflow update vs test revisions for Stable Cascade. Same broad testing ecosystem, different changes." + }, + { + "left": "pull_request:5855", + "right": "pull_request:6669", + "accept": false, + "reason": "Both are README edits, but they fix unrelated examples and typos." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6002", + "accept": false, + "reason": "SVD docs fix vs SVD guidance-scale code fix; one is documentation, the other is runtime behavior." + }, + { + "left": "pull_request:6314", + "right": "pull_request:7472", + "accept": false, + "reason": "Paper-link typo vs broken examples link; unrelated documentation fixes." + }, + { + "left": "pull_request:6433", + "right": "pull_request:8426", + "accept": false, + "reason": "Community pipeline addition vs CI install-method cleanup. No common underlying bug/change." + }, + { + "left": "pull_request:6462", + "right": "pull_request:7472", + "accept": false, + "reason": "Different README/docs fixes with no shared target or code path." + }, + { + "left": "pull_request:6837", + "right": "pull_request:8851", + "accept": false, + "reason": "Missing deps docs for i2vgen-xl vs AuraFlow docs addition; unrelated feature/documentation work." + }, + { + "left": "pull_request:7181", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo sweeps, but they touch different files and unrelated content." + }, + { + "left": "pull_request:7319", + "right": "pull_request:9066", + "accept": false, + "reason": "Two separate documentation additions for different models/schedulers; not the same change." + }, + { + "left": "pull_request:74", + "right": "pull_request:9", + "accept": false, + "reason": "Both involve Grad-TTS/UNet architecture, but one adds a mid block and the other introduces the model/pipeline. Different changes." + }, + { + "left": "pull_request:7425", + "right": "pull_request:8851", + "accept": false, + "reason": "Docs typo/image example update vs AuraFlow docs addition; no shared bug or implementation." + }, + { + "left": "pull_request:7709", + "right": "pull_request:8403", + "accept": false, + "reason": "Both touch Tailscale workflow config, but one adds the action and the other updates its source. Not the same fix." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8932", + "accept": false, + "reason": "Fast DDPM test size reduction vs transformer test coverage addition; unrelated test changes." + }, + { + "left": "pull_request:7867", + "right": "pull_request:9024", + "accept": false, + "reason": "Both mention cache/CI, but one changes cache mount paths while the other adjusts CI groups and workflow plumbing." + }, + { + "left": "pull_request:798", + "right": "pull_request:972", + "accept": false, + "reason": "Different typo fixes in different doc/code areas; not duplicate work." + }, + { + "left": "pull_request:798", + "right": "pull_request:975", + "accept": false, + "reason": "Docstring typo vs docs title typo; too different to be the same underlying issue." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9266", + "accept": false, + "reason": "Both are README/community doc updates, but they cover unrelated content and purposes." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9107", + "accept": false, + "reason": "Both touch SD3 dreambooth code, but one fixes cleanup and the other fixes loading-hook key selection. 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": 265, + "review_unit_index": 44, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is a false positive mix: the candidate PRs span unrelated docs, CI, tests, and model/pipeline fixes. 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Different maintenance actions." + }, + { + "left": "pull_request:1582", + "right": "pull_request:2464", + "accept": false, + "reason": "RePaint scheduler bug fix vs removal of xformers handling in text-to-image LoRA training are unrelated." + }, + { + "left": "pull_request:1583", + "right": "pull_request:2464", + "accept": false, + "reason": "Legacy inpaint masking fix vs text-to-image LoRA training cleanup 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": 1, + "component_count": 265, + "review_unit_index": 45, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11823", + "pull_request:11843", + "pull_request:12315", + "pull_request:12454", + "pull_request:1788", + "pull_request:2009", + "pull_request:2345", + "pull_request:2398", + "pull_request:2956", + "pull_request:3127", + "pull_request:3160", + "pull_request:3214", + "pull_request:3446", + "pull_request:4078", + "pull_request:4242", + "pull_request:4272", + "pull_request:4373", + "pull_request:4395", + "pull_request:4666", + "pull_request:4700", + "pull_request:4722", + "pull_request:4749", + "pull_request:4787", + "pull_request:4862", + "pull_request:5090", + "pull_request:5157", + "pull_request:5164", + "pull_request:5220", + "pull_request:5608", + "pull_request:5823", + "pull_request:6437", + "pull_request:6448", + "pull_request:6759", + "pull_request:6787", + "pull_request:7050", + "pull_request:7103", + "pull_request:7627", + "pull_request:7738", + "pull_request:8422", + "pull_request:8572", + "pull_request:8618", + "pull_request:8702", + "pull_request:8798", + "pull_request:8812", + "pull_request:8901", + "pull_request:8992", + "pull_request:9021", + "pull_request:9597" + ], + "soft_pairs": [ + "pull_request:4272|pull_request:4373", + "pull_request:6437|pull_request:7738", + "pull_request:7103|pull_request:9021", + "pull_request:8992|pull_request:9597", + "pull_request:8812|pull_request:8901", + "pull_request:11843|pull_request:12315", + "pull_request:1788|pull_request:3214", + "pull_request:2345|pull_request:3446", + "pull_request:4666|pull_request:5164", + "pull_request:4666|pull_request:5220", + "pull_request:4787|pull_request:6448", + "pull_request:4862|pull_request:5157", + "pull_request:6787|pull_request:7627", + "pull_request:8422|pull_request:8798", + "pull_request:5608|pull_request:5823", + "pull_request:1788|pull_request:3127", + "pull_request:2009|pull_request:2398", + "pull_request:4078|pull_request:4242", + "pull_request:4395|pull_request:4749", + "pull_request:5090|pull_request:6759", + "pull_request:8618|pull_request:8702", + "pull_request:2956|pull_request:3160", + "pull_request:11823|pull_request:12454", + "pull_request:4700|pull_request:4722", + "pull_request:7050|pull_request:8572" + ], + "prepared_review_unit_hash": "f68f7a9642584c58fa08069ec5f835e3a50513bae21c82e53cedde00cfe78620", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 103422, + "estimated_input_tokens": 25856, + "estimated_eval_tokens": 51968 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate links are mostly false positives: they pair unrelated feature PRs, test-only PRs, or docs updates across different subsystems. I would not merge any soft edge as a duplicate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8812 is the most central, substantial feature PR in the set: it adds the main Kolors implementation, has an explicit issue target, and anchors a later follow-up (#8901).", + "best_issue_reason": null, + "best_pr_reason": "PR #8812 is the best representative artifact if one must be chosen, because it is the broadest core code change rather than a narrow test/docs tweak.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4272", + "right": "pull_request:4373", + "accept": false, + "reason": "Optional import cleanup vs SDXL resize bug fix; different code paths and different problems." + }, + { + "left": "pull_request:6437", + "right": "pull_request:7738", + "accept": false, + "reason": "CI exclusion tweak vs LoRA device-placement bug; not the same underlying issue." + }, + { + "left": "pull_request:7103", + "right": "pull_request:9021", + "accept": false, + "reason": "ControlNet input validation fix vs SD3ControlNet num_layers loading fix; 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not the same concrete change." + }, + { + "left": "pull_request:5608", + "right": "pull_request:5823", + "accept": false, + "reason": "Empty network_alpha dict handling vs adapter_names support in fuse_lora; different LoRA APIs." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3127", + "accept": false, + "reason": "Scheduler step bug vs safety checker tensor output handling; unrelated code paths." + }, + { + "left": "pull_request:2009", + "right": "pull_request:2398", + "accept": false, + "reason": "Textual inversion loading feature vs Pix2Pix Zero docs update; not duplicates." + }, + { + "left": "pull_request:4078", + "right": "pull_request:4242", + "accept": false, + "reason": "Require accelerate for from_single_file vs allowing VAE loading; different loader behavior changes." + }, + { + "left": "pull_request:4395", + "right": "pull_request:4749", + "accept": false, + "reason": "DreamBooth class prompt preprocessing bug vs SDXL LoRA checkpointing fix; separate issues." + }, + { + "left": "pull_request:5090", + "right": "pull_request:6759", + "accept": false, + "reason": "T2I-Adapter weighting bug fix vs InstantID prompt image repetition fix; different pipelines and failures." + }, + { + "left": "pull_request:8618", + "right": "pull_request:8702", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor change vs SD3 conversion script; one is model API, the other is tooling." + }, + { + "left": "pull_request:2956", + "right": "pull_request:3160", + "accept": false, + "reason": "Karras sigmas added to different schedulers; same theme, but not the same fix or code path." + }, + { + "left": "pull_request:11823", + "right": "pull_request:12454", + "accept": false, + "reason": "Flux Kontext LoRA support vs modular i2i/t2i support for Kontext; related domain, but distinct implementations." + }, + { + "left": "pull_request:4700", + "right": "pull_request:4722", + "accept": false, + "reason": "Shap-E docs guide vs DiffEdit docs guide; different documentation topics." + }, + { + "left": "pull_request:7050", + "right": "pull_request:8572", + "accept": false, + "reason": "Text-to-image typo cleanup vs general contributing/docs errata; 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one is test coverage, the other is a bug fix." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5186", + "accept": false, + "reason": "Optional-import cleanup vs a draft FreeU proof-of-concept; unrelated changes." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5186", + "accept": false, + "reason": "Same feature area, but 5186 is a draft POC while 5164 is the merged FreeU implementation; not a mergeable duplicate change." + }, + { + "left": "pull_request:5407", + "right": "pull_request:7634", + "accept": false, + "reason": "Different example/model changes: mixed-precision training fix vs a high-resolution generation feature." + }, + { + "left": "pull_request:6330", + "right": "pull_request:6578", + "accept": false, + "reason": "Docs-only fixes in different tutorials: SVD rendering/content vs ControlNet heading formatting." + }, + { + "left": "pull_request:6645", + "right": "pull_request:7062", + "accept": false, + "reason": "Unrelated documentation cleanups in different files and topics." + }, + { + "left": "pull_request:6787", + "right": "pull_request:8467", + "accept": false, + "reason": "Different runtime fixes in unrelated pipelines: Marigold input normalization vs SEGA device placement." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6910", + "accept": false, + "reason": "Both standardize model cards, but one is a broad multi-example refactor and the other is a ControlNet-specific follow-up; not the same underlying change." + }, + { + "left": "pull_request:7166", + "right": "pull_request:8798", + "accept": false, + "reason": "Different loading bugs: SDXL LoRA DreamBooth checkpoint restoration vs sharded checkpoint subfolder resolution." + }, + { + "left": "pull_request:8452", + "right": "pull_request:8691", + "accept": false, + "reason": "Single-file loading error fix vs LoRA load selection logic; distinct issues." + }, + { + "left": "pull_request:2928", + "right": "pull_request:2994", + "accept": false, + "reason": "Both are ControlNet training scripts, but one changes dataset loading and the other fixes residual type casting; 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": 265, + "review_unit_index": 48, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "The pairs are mostly superficial matches: same filenames, same docs-heavy maintenance patterns, or same broad subsystem, but they do not describe the same concrete bug/change. I found no convincing duplicate PR pair in this cluster.", + "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:3499", + "right": "pull_request:3546", + "accept": false, + "reason": "Same panorama file, but 3499 fixes a dpmsolver-specific scheduler bug while 3546 broadens scheduler support; different underlying changes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:5979", + "accept": false, + "reason": "Different features entirely: Blended Latent Diffusion community pipeline vs DDGAN pipeline/scheduler." + }, + { + "left": "pull_request:10222", + "right": "pull_request:9286", + "accept": false, + "reason": "ControlNet PyTorch XLA support vs exporting FluxMultiControlNetModel in __init__.py; unrelated changes." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10858", + "accept": false, + "reason": "Both are docs PRs, but one fixes hunyuan broken links and the other updates the overview table entry for I2VGen-XL; not the same issue." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11248", + "accept": false, + "reason": "Both are typo/docs cleanup, but they touch different pages and different content; not the same underlying fix." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11303", + "accept": false, + "reason": "Different docs files and different typos; no shared concrete bug." + }, + { + "left": "pull_request:10825", + "right": "pull_request:9760", + "accept": false, + "reason": "One adds checkpoint inference guidance to training docs; the other edits README headings/wording. Not the same change." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12018", + "accept": false, + "reason": "Both fix docs wording, but in different documents and on different topics; too broad to be duplicates." + }, + { + "left": "pull_request:11835", + "right": "pull_request:12782", + "accept": false, + "reason": "Different test suites for different models and failure modes; not the same bug." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12883", + "accept": false, + "reason": "Both are typo fixes, but across unrelated example/docs files and different text." + }, + { + "left": "pull_request:12527", + "right": "pull_request:12552", + "accept": false, + "reason": "Code-path fix in Kandinsky5 CFG handling vs docs typo cleanup for Kandinsky5; not mergeable as one fix." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13382", + "accept": false, + "reason": "Both add docs content, but one adds Z-Image pages and the other adds modular auto-docstring documentation; unrelated additions." + }, + { + "left": "pull_request:1513", + "right": "pull_request:3471", + "accept": false, + "reason": "Both touch dreambooth README, but one adds accelerate notebook setup instructions and the other adds a torch.compile note; different edits." + }, + { + "left": "pull_request:16", + "right": "pull_request:260", + "accept": false, + "reason": "General README update vs a small typo fix in examples/inference/readme.md; not the same underlying change." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2415", + "accept": false, + "reason": "Completely different code areas: training/scheduler/model changes vs pipeline_utils import/version handling." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3128", + "accept": false, + "reason": "LoRA validation multi-GPU fix vs img2img timestep selection bug; unrelated." + }, + { + "left": "pull_request:2396", + "right": "pull_request:3942", + "accept": false, + "reason": "Different test failures in different contexts; one is scheduler warning cleanup, the other np/xformers test handling." + }, + { + "left": "pull_request:2490", + "right": "pull_request:4612", + "accept": false, + "reason": "MultiDiffusion docs addition vs controlling_generation link fixes; same docs area but distinct content." + }, + { + "left": "pull_request:2642", + "right": "pull_request:3825", + "accept": false, + "reason": "Separate broken-link docs fixes in different pages; not the same specific link set." + }, + { + "left": "pull_request:2647", + "right": "pull_request:3825", + "accept": false, + "reason": "Scheduler docs wording fix vs control_brightness link correction; unrelated docs changes." + }, + { + "left": "pull_request:2684", + "right": "pull_request:3825", + "accept": false, + "reason": "Custom pipeline overview link fix vs control_brightness link fix; different files and targets." + }, + { + "left": "pull_request:2685", + "right": "pull_request:3825", + "accept": false, + "reason": "KerasCV docs punctuation/newline cleanup vs control_brightness link fix; unrelated." + }, + { + "left": "pull_request:2954", + "right": "pull_request:3716", + "accept": false, + "reason": "Both are pipeline additions, but TextToVideoZero and ParaDiGMS are different features with different codepaths." + }, + { + "left": "pull_request:327", + "right": "pull_request:360", + "accept": false, + "reason": "Both are type-hint cleanups, but for different schedulers/pipeline code and not the same concrete bug." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4612", + "accept": false, + "reason": "Both fix broken links, but in different docs pages and different link targets." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5499", + "accept": false, + "reason": "README link rewrite vs large docs link fix across many pages; similar theme but not the same 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": 1, + "component_count": 265, + "review_unit_index": 49, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "The cluster is mostly heterogeneous docs/test/code PRs, and none of the soft pairs look like the same underlying bug or change. I rejected all soft edges. No issue nodes are present; the best standalone PR is the core LoRA unfuse fix.", + "confidence": 0.91, + "canonical_issue_reason": "No issue nodes are present in this cluster.", + "canonical_pr_reason": "No single canonical PR: the set spans unrelated docs, tests, and code fixes rather than one duplicate change.", + "best_issue_reason": null, + "best_pr_reason": "PR 4833 is the strongest representative code fix: it addresses core LoRA fuse/unfuse behavior across loaders/models and includes tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:382", + "right": "pull_request:388", + "accept": false, + "reason": "Both are docs PRs, but one adds DDPM docs and the other adds unconditional latent diffusion docs; different pipelines and content." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5236", + "accept": false, + "reason": "Different docs-only fixes: one adds a missing torch import in stable diffusion docs, the other cleans up code fences in the Korean unconditional image generation page." + }, + { + "left": "pull_request:3987", + "right": "pull_request:4707", + "accept": false, + "reason": "Audio Diffusion snippet fix vs. custom diffusion training README updates; unrelated topics and code paths." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6342", + "accept": false, + "reason": "One updates InstructPix2Pix README examples; the other adds a Windows/Python installation note. Same docs theme, but not the same change." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5298", + "accept": false, + "reason": "Both involve LoRA internals, but one fixes fuse/unfuse logic while the other fixes torch.compile behavior for LoRA convs; distinct bugs." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7068", + "accept": false, + "reason": "Typos/docs cleanup in different places: Wuerstchen docs vs assorted tutorial/docstring typo fixes." + }, + { + "left": "pull_request:5157", + "right": "pull_request:5833", + "accept": false, + "reason": "ControlNet LoRA name-conversion fix in loaders.py vs PixArt docs/example expansion; no shared bug or change." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are typo fixes, but they touch different docs and different snippets; not the same underlying issue." + }, + { + "left": "pull_request:8490", + "right": "pull_request:9760", + "accept": false, + "reason": "DreamBooth SD3 README script correction vs top-level README wording cleanup; unrelated scopes." + }, + { + "left": "pull_request:8642", + "right": "pull_request:9100", + "accept": false, + "reason": "Different typo fixes in different files: StableDiffusion3 pipeline return docs vs a text-to-image LoRA help string." + }, + { + "left": "pull_request:8860", + "right": "pull_request:9760", + "accept": false, + "reason": "README_sd3 update vs general README wording changes; separate docs edits." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9083", + "accept": false, + "reason": "One adds a Flux img2img pipeline; the other adds single-file Flux Transformer support. Different features, not mergeable as one PR." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9754", + "accept": false, + "reason": "Flux DreamBooth/LoRA training scripts vs a research quantized Flux training project; related ecosystem, but different implementations and goals." + }, + { + "left": "pull_request:4352", + "right": "pull_request:5470", + "accept": false, + "reason": "Kandinsky combined-pipeline offload/xformers methods vs controlnet inpaint pipeline docs/fixes; no shared code path." + }, + { + "left": "pull_request:5129", + "right": "pull_request:5202", + "accept": false, + "reason": "Multiple-LoRA fuse/unfuse support vs Kohya checkpoint mapping support. Both LoRA-related, but they solve different loader problems." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1508", + "accept": false, + "reason": "Both edit DreamBooth README text, but one is install guidance and the other clarifies num_class_images behavior; different documentation issues." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4373", + "accept": false, + "reason": "Upcaster input validation/embed support vs SDXL resize/default-size ordering. Different pipeline bugs." + }, + { + "left": "pull_request:3334", + "right": "pull_request:5015", + "accept": false, + "reason": "Docstring formatting fix in pipeline_utils vs broken docs link fix; unrelated documentation changes." + }, + { + "left": "pull_request:4188", + "right": "pull_request:5420", + "accept": false, + "reason": "SDXL ControlNet dataset fingerprinting fix vs a basic training tutorial repo_id assignment correction; different bugs and files." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5833", + "accept": false, + "reason": "Single-file VAE loading support vs PixArt docs example; no overlap in change or bug." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5834", + "accept": false, + "reason": "Single-file VAE loading support vs a ControlNet single-file import path fix; both loading-related but different concrete problems." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4859", + "accept": false, + "reason": "SDXL DreamBooth LoRA checkpointing fix vs an SDXL inpaint fast-test tweak; different subsystems and goals." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5157", + "accept": false, + "reason": "Both touch LoRA code, but 4833 fixes unfuse/state_dict behavior while 5157 fixes ControlNet LoRA conversion names; separate code paths." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7632", + "accept": false, + "reason": "PixArt test determinism updates vs DreamBooth VAE loading bug; unrelated failures." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12418", + "accept": false, + "reason": "Both xfail tests for CI issues, but they target different versions, libraries, and test files; not the same failing condition." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12714", + "accept": false, + "reason": "Flux LoRA metadata-return fix vs Flux2 LoRA NaN test adjustments; different bugs 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": 265, + "review_unit_index": 50, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 docs, CI, test, and feature PRs. The only pair that looks like the same underlying change is the tokenizers CI install workflow follow-up (10132 \u2194 10497).", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the whole cluster; the closest duplicate pair is the tokenizers CI install fix, and 10497 is the cleaner representative because it corrects the git subdirectory path for the same workflow line.", + "best_issue_reason": null, + "best_pr_reason": "10497 is the best global PR representative here because it most directly addresses the concrete CI tokenizers installation bug, whereas 10132 is the earlier broader workflow edit.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12551", + "right": "pull_request:12647", + "accept": false, + "reason": "Same test file, but they skip different layerwise-casting test cases; these are separate CI/test fixes, not the same bug." + }, + { + "left": "pull_request:12526", + "right": "pull_request:13058", + "accept": false, + "reason": "Different features for different Wan/LTX2 pipelines; not the same change or code-path problem." + }, + { + "left": "pull_request:10359", + "right": "pull_request:9696", + "accept": false, + "reason": "One is a test cleanup PR, the other changes the test-runner workflow; related area but not the same underlying issue." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5470", + "accept": false, + "reason": "Both touch ControlNet-related code, but they fix different pipelines and different bugs." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they are for different training scripts and different concrete edits." + }, + { + "left": "pull_request:10750", + "right": "pull_request:9638", + "accept": false, + "reason": "One adds Flux ControlNet support; the other adds Xlabs ControlNet support. Same subsystem, different feature work." + }, + { + "left": "pull_request:7638", + "right": "pull_request:7717", + "accept": false, + "reason": "A broken link fix and docstring style cleanup are unrelated changes." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11353", + "accept": false, + "reason": "Both are Wan-related, but one adds LoRA conversion support and the other adds FLF2V generation support." + }, + { + "left": "pull_request:12055", + "right": "pull_request:12164", + "accept": false, + "reason": "Qwen-Image base support vs Qwen Image Edit support are separate feature additions." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2398", + "accept": false, + "reason": "General docs translation work and Pix2Pix Zero docs content are not the same artifact or change." + }, + { + "left": "pull_request:2588", + "right": "pull_request:4396", + "accept": false, + "reason": "Text-encoder LoRA support and the prompt-encoding dtype fallback fix solve different problems." + }, + { + "left": "pull_request:4272", + "right": "pull_request:4276", + "accept": false, + "reason": "Optional import fixes and a pipeline-import test are not the same bug fix." + }, + { + "left": "pull_request:4621", + "right": "pull_request:6564", + "accept": false, + "reason": "Multi-adapter downscale validation and IP-Adapter path handling are unrelated." + }, + { + "left": "pull_request:6564", + "right": "pull_request:8825", + "accept": false, + "reason": "IP-Adapter path normalization and SDXL KDiffusion feature support are different changes." + }, + { + "left": "pull_request:7118", + "right": "pull_request:9207", + "accept": false, + "reason": "Docs typo cleanup vs CPU offloading usage updates are unrelated." + }, + { + "left": "pull_request:7131", + "right": "pull_request:9207", + "accept": false, + "reason": "Different documentation fixes in different topics; not the same underlying change." + }, + { + "left": "pull_request:7932", + "right": "pull_request:9696", + "accept": false, + "reason": "LoRA test expectation updates and workflow changes are not the same code-path or bug." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6907", + "accept": false, + "reason": "Both standardize model cards, but they affect different example scripts and different generated content." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1513", + "accept": false, + "reason": "Different DreamBooth docs additions with different purposes." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3128", + "accept": false, + "reason": "Scheduler configuration switching and img2img timestep selection are distinct bugs." + }, + { + "left": "pull_request:4862", + "right": "pull_request:4886", + "accept": false, + "reason": "ControlNet multi-model shape handling and upscale safety checker behavior are different issues." + }, + { + "left": "pull_request:6448", + "right": "pull_request:7738", + "accept": false, + "reason": "LoRA assertion cleanup and device-placement guarding are separate test/runtime fixes." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10867", + "accept": false, + "reason": "IP-Adapter support for Flux img2img and multi IP-Adapter support are related but not the same concrete change." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10497", + "accept": true, + "reason": "Both edits target the same CI tokenizers installation line in pr_tests.yml; 10497 is a direct follow-up correcting the Git subdirectory for the same install path." + }, + { + "left": "pull_request:4847", + "right": "pull_request:6419", + "accept": false, + "reason": "Different community/example pipelines with different scopes and no shared code-path fix." + }, + { + "left": "pull_request:12983", + "right": "pull_request:13121", + "accept": false, + "reason": "LTX2 single-file support and an inference CFG fix are different parts of the project." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the lone accepted pair (10132 \u2194 10497) is a conservative same-line CI follow-up that could be merged as one fix. The other pairwise rejections stay on the safe side and do not overclaim duplicate-bug 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": 265, + "review_unit_index": 51, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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, + 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"accept": false, + "reason": "Different docs maintenance changes; one updates training docs, the other changes documentation workflows." + }, + { + "left": "pull_request:1020", + "right": "pull_request:2788", + "accept": false, + "reason": "Both touch docs structure, but one is content cleanup and the other is a toctree reorganization." + }, + { + "left": "pull_request:10222", + "right": "pull_request:8600", + "accept": false, + "reason": "PyTorch/XLA support in ControlNet is unrelated to DreamBooth SD3 LoRA cleanup." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10318", + "accept": false, + "reason": "Docs for LoRA mixins versus Flux LoRA integration tests; not the same change." + }, + { + "left": "pull_request:10232", + "right": "pull_request:9734", + "accept": false, + "reason": "Both are docs, but they cover different models and different updates." + }, + { + "left": "pull_request:10253", + "right": "pull_request:9196", + "accept": false, + "reason": "Completely unrelated: a model contribution note versus PixArt attention processor support." + }, + { + "left": "pull_request:10278", + "right": "pull_request:11634", + "accept": false, + "reason": "Same documentation page, but different fixes: example code update versus link replacement and resource cleanup." + }, + { + "left": "pull_request:10358", + "right": "pull_request:11319", + "accept": false, + "reason": "Both add community project entries, but they are separate projects and separate edits." + }, + { + "left": "pull_request:10376", + "right": "pull_request:11546", + "accept": false, + "reason": "Both mention HunyuanVideo/LoRA, but one adds original-format LoRA conversion while the other adds FramePack LoRA mapping." + }, + { + "left": "pull_request:10394", + "right": "pull_request:9116", + "accept": false, + "reason": "Both are link/doc fixes, but in different documents and different content." + }, + { + "left": "pull_request:1041", + "right": "pull_request:531", + "accept": false, + "reason": "Unrelated test fixes in different components and eras; not the same underlying bug." + }, + { + "left": "pull_request:10434", + "right": "pull_request:11847", + "accept": false, + "reason": "Both are docs updates, but one fixes broken cross-links while the other corrects a single-file example." + }, + { + "left": "pull_request:10498", + "right": "pull_request:11204", + "accept": false, + "reason": "PyTorch/XLA support across pipelines is not the same change as adding an SDXL training implementation." + }, + { + "left": "pull_request:10531", + "right": "pull_request:11851", + "accept": false, + "reason": "Negative-prompt documentation for Flux is unrelated to the _keep_in_fp32_modules note in schedulers docs." + }, + { + "left": "pull_request:10548", + "right": "pull_request:11789", + "accept": false, + "reason": "Both involve HunyuanVideo, but one fixes batch-size masking and the other adjusts framepack device tests." + }, + { + "left": "pull_request:1077", + "right": "pull_request:1412", + "accept": false, + "reason": "These are separate test additions for different schedulers and pipelines, not one duplicate change." + }, + { + "left": "pull_request:10802", + "right": "pull_request:11623", + "accept": false, + "reason": "Both are typo fixes, but in different files and different text." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11770", + "accept": false, + "reason": "Same docs area, but one adds missing LoRA entries while the other does broader LoRA doc cleanup and code changes." + }, + { + "left": "pull_request:10888", + "right": "pull_request:9860", + "accept": false, + "reason": "Different scopes: AutoPipeline registration for SD3 ControlNet versus ControlNet example support for SD3.5." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11983", + "accept": false, + "reason": "Unrelated docs updates: evaluation guidance versus installation instructions." + }, + { + "left": "pull_request:10938", + "right": "pull_request:9760", + "accept": false, + "reason": "Both touch README/docs formatting, but they are separate content changes with 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": 265, + "review_unit_index": 52, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11096", + "pull_request:11236", + "pull_request:11237", + "pull_request:11248", + "pull_request:11249", + "pull_request:11251", + "pull_request:11303", + "pull_request:11407", + "pull_request:11416", + "pull_request:11476", + "pull_request:1162", + "pull_request:11746", + "pull_request:11838", + "pull_request:11847", + 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"pull_request:11249|pull_request:11251", + "pull_request:11303|pull_request:11983", + "pull_request:11303|pull_request:9760", + "pull_request:11407|pull_request:12265", + "pull_request:11416|pull_request:12265", + "pull_request:11476|pull_request:12265", + "pull_request:1162|pull_request:1555", + "pull_request:1162|pull_request:2257", + "pull_request:1162|pull_request:3063", + "pull_request:1162|pull_request:3266", + "pull_request:11746|pull_request:12560", + "pull_request:11838|pull_request:11879", + "pull_request:11847|pull_request:12068", + "pull_request:11847|pull_request:12487", + "pull_request:11857|pull_request:12337", + "pull_request:11875|pull_request:11958", + "pull_request:11983|pull_request:12890", + "pull_request:1218|pull_request:98", + "pull_request:12183|pull_request:12984", + "pull_request:12247|pull_request:12307", + "pull_request:12247|pull_request:13115", + "pull_request:12360|pull_request:12902", + "pull_request:12360|pull_request:13135", + "pull_request:12487|pull_request:12716", + "pull_request:12560|pull_request:13148", + "pull_request:1269|pull_request:1527", + "pull_request:12731|pull_request:12797", + "pull_request:12883|pull_request:13135" + ], + "prepared_review_unit_hash": "bc60c2de265a235bd12cd22a2f7f18bce3fee2031d9681394fecd070cffbe4df", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 101839, + "estimated_input_tokens": 25460, + "estimated_eval_tokens": 51176 + }, + "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 docs typo cleanups, feature/docs updates, modular pipeline refactors, and a few code fixes across different subsystems. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits this cluster; the items are heterogeneous and mostly unrelated beyond being small maintenance/docs changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 11407 is the broadest representative of the typo/comment cleanup subgroup, but it is only a weak umbrella and does not cover the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11096", + "right": "pull_request:12193", + "accept": false, + "reason": "Different docs targets: Flux TPU README vs Qwen dreambooth README; separate instructions and model families." + }, + { + "left": "pull_request:11236", + "right": "pull_request:11237", + "accept": false, + "reason": "One edits SanaSprint pipeline docs, the other edits dtype-map docs for HunyuanVideo loading; unrelated documentation fixes." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11983", + "accept": false, + "reason": "ControlNet README correction vs installation docs command fix; unrelated files and issues." + }, + { + "left": "pull_request:11248", + "right": "pull_request:9760", + "accept": false, + "reason": "A small README code-fix is not the same change as a README heading/section wording update." + }, + { + "left": "pull_request:11249", + "right": "pull_request:11251", + "accept": false, + "reason": "Different concrete features: Flux ControlNet image-to-image support vs SD3 MultiControlNet inpainting support." + }, + { + "left": "pull_request:11303", + "right": "pull_request:11983", + "accept": false, + "reason": "AutoencoderKLAllegro docs typo vs installation command typo; unrelated docs changes." + }, + { + "left": "pull_request:11303", + "right": "pull_request:9760", + "accept": false, + "reason": "Different documentation areas and edits; no shared code path or change." + }, + { + "left": "pull_request:11407", + "right": "pull_request:12265", + "accept": false, + "reason": "Both are typo cleanups, but they touch different files and broader subsystems with no shared underlying bug." + }, + { + "left": "pull_request:11416", + "right": "pull_request:12265", + "accept": false, + "reason": "Separate typo/doc cleanup batches across different docs and examples; not the same change." + }, + { + "left": "pull_request:11476", + "right": "pull_request:12265", + "accept": false, + "reason": "Overlap only in being typo fixes; the edited files and affected code paths are unrelated." + }, + { + "left": "pull_request:1162", + "right": "pull_request:1555", + "accept": false, + "reason": "Community pipeline link cleanup is unrelated to the cache-dir fix in dynamic module loading." + }, + { + "left": "pull_request:1162", + "right": "pull_request:2257", + "accept": false, + "reason": "README link edits vs adding a new community pipeline; completely different changes." + }, + { + "left": "pull_request:1162", + "right": "pull_request:3063", + "accept": false, + "reason": "Documentation link changes do not match a pipeline __setattr__ bug fix." + }, + { + "left": "pull_request:1162", + "right": "pull_request:3266", + "accept": false, + "reason": "Link/documentation cleanup is unrelated to version-loading logic in dynamic module utils." + }, + { + "left": "pull_request:11746", + "right": "pull_request:12560", + "accept": false, + "reason": "License-year updates vs modular pipeline fixes; different maintenance tasks." + }, + { + "left": "pull_request:11838", + "right": "pull_request:11879", + "accept": false, + "reason": "Pipeline deprecation docs vs removal of deprecated pipeline tests; related theme but different artifacts and changes." + }, + { + "left": "pull_request:11847", + "right": "pull_request:12068", + "accept": false, + "reason": "Wan single-file example correction vs Qwen docs/example corrections; unrelated models and docs." + }, + { + "left": "pull_request:11847", + "right": "pull_request:12487", + "accept": false, + "reason": "Wan example docs fix vs broad broken-link cleanup across many docs pages; not the same issue." + }, + { + "left": "pull_request:11857", + "right": "pull_request:12337", + "accept": false, + "reason": "Flux pipeline doc reference wording vs xformers attention enablement bug fix in code; different problems." + }, + { + "left": "pull_request:11875", + "right": "pull_request:11958", + "accept": false, + "reason": "Kontext auto-pipeline docs/feature work vs F5 TTS pipeline addition; unrelated features." + }, + { + "left": "pull_request:11983", + "right": "pull_request:12890", + "accept": false, + "reason": "Installation docs typo vs removing unneeded hfoptions markers in Wan docs; different documentation fixes." + }, + { + "left": "pull_request:1218", + "right": "pull_request:98", + "accept": false, + "reason": "Old conversion-script scheduler expansion vs NCSNPP conversion script introduction; different converter targets." + }, + { + "left": "pull_request:12183", + "right": "pull_request:12984", + "accept": false, + "reason": "Adding a LoRA button to QwenImage docs vs adding Flux2 Klein docs; unrelated docs updates." + }, + { + "left": "pull_request:12247", + "right": "pull_request:12307", + "accept": false, + "reason": "AutoGuidance validation fix vs modular pipeline small fixes; different validation logic and scope." + }, + { + "left": "pull_request:12247", + "right": "pull_request:13115", + "accept": false, + "reason": "AutoGuidance validation logic is unrelated to Flux modular export/block naming changes." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12902", + "accept": false, + "reason": "Chroma docs wording fix vs distributed inference device_map usage fix; different pipelines and issues." + }, + { + "left": "pull_request:12360", + "right": "pull_request:13135", + "accept": false, + "reason": "Chroma docs guidance text vs LTX2 image-to-video docstring correction; unrelated docs changes." + }, + { + "left": "pull_request:12487", + "right": "pull_request:12716", + "accept": false, + "reason": "Broken-link cleanup across docs vs Flux2 link correction; broad doc maintenance but not the same change." + }, + { + "left": "pull_request:12560", + "right": "pull_request:13148", + "accept": false, + "reason": "Two different modular-doc/refactor updates with different affected APIs and files; not the same underlying fix." + }, + { + "left": "pull_request:1269", + "right": "pull_request:1527", + "accept": false, + "reason": "Stable Diffusion refactor cleanups vs inpaint tensor-input support; separate changes to the same file but not the same bug." + }, + { + "left": "pull_request:12731", + "right": "pull_request:12797", + "accept": false, + "reason": "Bria Fibo doc wording vs Kandinsky minor fixes; different model docs and edits." + }, + { + "left": "pull_request:12883", + "right": "pull_request:13135", + "accept": false, + "reason": "TorchAO quantization typo fixes vs LTX2 docstring correction; unrelated 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": 1, + "component_count": 265, + "review_unit_index": 53, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:12984", + "pull_request:13158", + "pull_request:13253", + "pull_request:13254", + "pull_request:13315", + "pull_request:13335", + "pull_request:13368", + "pull_request:13369", + "pull_request:13371", + "pull_request:1341", + "pull_request:136", + "pull_request:1380", + "pull_request:1386", + "pull_request:1408", + "pull_request:1418", + "pull_request:1487", + "pull_request:1505", + "pull_request:1510", + "pull_request:1582", + "pull_request:1583", + "pull_request:1601", + "pull_request:1627", + "pull_request:168", + "pull_request:1701", + "pull_request:1761", + "pull_request:1763", + "pull_request:1769", + "pull_request:178", + "pull_request:190", + "pull_request:2077", + "pull_request:2415", + "pull_request:2795", + "pull_request:299", + "pull_request:3", + "pull_request:3068", + "pull_request:3074", + "pull_request:3079", + "pull_request:3183", + "pull_request:3549", + "pull_request:3554", + "pull_request:3555", + "pull_request:43", + "pull_request:5", + "pull_request:61", + "pull_request:63", + "pull_request:904", + "pull_request:971", + "pull_request:98" + ], + "soft_pairs": [ + "pull_request:12984|pull_request:13158", + "pull_request:13253|pull_request:13368", + "pull_request:13253|pull_request:13369", + "pull_request:13254|pull_request:13371", + "pull_request:13315|pull_request:13371", + "pull_request:13335|pull_request:13371", + "pull_request:1341|pull_request:178", + "pull_request:136|pull_request:43", + "pull_request:1380|pull_request:3074", + "pull_request:1386|pull_request:1505", + "pull_request:1408|pull_request:61", + "pull_request:1408|pull_request:63", + "pull_request:1418|pull_request:1763", + "pull_request:1487|pull_request:1627", + "pull_request:1487|pull_request:3549", + "pull_request:1510|pull_request:98", + "pull_request:1582|pull_request:2415", + "pull_request:1582|pull_request:2795", + "pull_request:1583|pull_request:2415", + "pull_request:1583|pull_request:2795", + "pull_request:1601|pull_request:3183", + "pull_request:168|pull_request:299", + "pull_request:168|pull_request:904", + "pull_request:1701|pull_request:3079", + "pull_request:1761|pull_request:1769", + "pull_request:178|pull_request:5", + "pull_request:178|pull_request:971", + "pull_request:190|pull_request:3", + "pull_request:2077|pull_request:3068", + "pull_request:2077|pull_request:3554", + "pull_request:2077|pull_request:3555" + ], + "prepared_review_unit_hash": "8c9d4c93a47c391fa1f5a8feb262c5151aa60eb9659ecc41b0c814db2d616553", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 99611, + "estimated_input_tokens": 24903, + "estimated_eval_tokens": 50062 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: docs updates, test refactors, pipeline fixes, conversion scripts, and scheduler/model changes. None of the soft-edge pairs look like the same underlying change, so I would reject all of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster well; the items are mostly unrelated changes, and the only near-duplicate-looking pair (3554/3555) is isolated from the rest.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for deduplication: the cluster does not share one concrete bug/change, so any single PR would be a poor anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12984", + "right": "pull_request:13158", + "accept": false, + "reason": "Both are docs-only pipeline additions, but they document different pipelines and different features." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13368", + "accept": false, + "reason": "These are separate test refactors for different models; same test maintenance theme, not the same change." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13369", + "accept": false, + "reason": "Different model test suites and different refactor scopes." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13371", + "accept": false, + "reason": "Both are transformer/autoencoder test refactors, but for unrelated architectures and code paths." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13371", + "accept": false, + "reason": "Unrelated test refactors for different model families." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13371", + "accept": false, + "reason": "Different model test suites; only a broad CI-refactor similarity." + }, + { + "left": "pull_request:1341", + "right": "pull_request:178", + "accept": false, + "reason": "One adds the RePaint pipeline, the other adds Stable Diffusion tests; not the same bug or change." + }, + { + "left": "pull_request:136", + "right": "pull_request:43", + "accept": false, + "reason": "Manifest path fix vs model-card template addition are unrelated changes." + }, + { + "left": "pull_request:1380", + "right": "pull_request:3074", + "accept": false, + "reason": "A code-path fix in Transformer2DModel is unrelated to a docstring correction." + }, + { + "left": "pull_request:1386", + "right": "pull_request:1505", + "accept": false, + "reason": "Both concern v-prediction, but they touch different scheduler sets and are not the same concrete fix." + }, + { + "left": "pull_request:1408", + "right": "pull_request:61", + "accept": false, + "reason": "Different conversion scripts for different pipelines/models." + }, + { + "left": "pull_request:1408", + "right": "pull_request:63", + "accept": false, + "reason": "Different conversion scripts targeting different model families." + }, + { + "left": "pull_request:1418", + "right": "pull_request:1763", + "accept": false, + "reason": "One is a tests fix, the other changes attention-mask behavior in code; not the same underlying change." + }, + { + "left": "pull_request:1487", + "right": "pull_request:1627", + "accept": false, + "reason": "Docs about xformers are not the same as the implementation in modeling_utils." + }, + { + "left": "pull_request:1487", + "right": "pull_request:3549", + "accept": false, + "reason": "Both are docs changes, but they document different topics and do not fix the same issue." + }, + { + "left": "pull_request:1510", + "right": "pull_request:98", + "accept": false, + "reason": "Different checkpoint conversion scripts for different model types." + }, + { + "left": "pull_request:1582", + "right": "pull_request:2415", + "accept": false, + "reason": "RePaint scheduler/pipeline fix vs pipeline_utils guard are unrelated code paths." + }, + { + "left": "pull_request:1582", + "right": "pull_request:2795", + "accept": false, + "reason": "RePaint bugfix and LoRA training-script tweak are unrelated." + }, + { + "left": "pull_request:1583", + "right": "pull_request:2415", + "accept": false, + "reason": "Legacy inpaint masking fix vs pipeline_utils version handling are unrelated." + }, + { + "left": "pull_request:1583", + "right": "pull_request:2795", + "accept": false, + "reason": "Different bugs in different subsystems; not mergeable as one fix." + }, + { + "left": "pull_request:1601", + "right": "pull_request:3183", + "accept": false, + "reason": "Both mention bugs, but they are in different pipeline/training code paths and are unrelated fixes." + }, + { + "left": "pull_request:168", + "right": "pull_request:299", + "accept": false, + "reason": "Stable Diffusion pipeline work and a PNDM scheduler hotfix are different changes." + }, + { + "left": "pull_request:1701", + "right": "pull_request:3079", + "accept": false, + "reason": "Different pipelines and different goals; only both are test-related on one side." + }, + { + "left": "pull_request:1761", + "right": "pull_request:1769", + "accept": false, + "reason": "The PRs are related by UnCLIP offloading, but one adds the feature and the other only adjusts tests/memory limits." + }, + { + "left": "pull_request:178", + "right": "pull_request:5", + "accept": false, + "reason": "Stable Diffusion integration tests vs latent-diffusion UNet model implementation are unrelated." + }, + { + "left": "pull_request:178", + "right": "pull_request:971", + "accept": false, + "reason": "Stable Diffusion tests and a community bit-diffusion feature are unrelated." + }, + { + "left": "pull_request:190", + "right": "pull_request:3", + "accept": false, + "reason": "Import-scoping for scipy is unrelated to from-hub loading support." + }, + { + "left": "pull_request:2077", + "right": "pull_request:3068", + "accept": false, + "reason": "Textual inversion validation-image support vs docs updates are not the same change." + }, + { + "left": "pull_request:2077", + "right": "pull_request:3554", + "accept": false, + "reason": "Same broad textual-inversion area, but one adds validation-image behavior and the other is a separate Moreh integration PR." + }, + { + "left": "pull_request:2077", + "right": "pull_request:3555", + "accept": false, + "reason": "Same as above: related topic, but different concrete change and scope." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 54, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2086", + "pull_request:21", + "pull_request:2118", + "pull_request:2137", + "pull_request:2138", + "pull_request:2175", + "pull_request:2193", + "pull_request:22", + "pull_request:2208", + "pull_request:2278", + "pull_request:2290", + "pull_request:2320", + "pull_request:2329", + "pull_request:2433", + "pull_request:2446", + "pull_request:2539", + "pull_request:2540", + "pull_request:2566", + "pull_request:2587", + "pull_request:260", + "pull_request:2604", + "pull_request:2624", + "pull_request:2639", + "pull_request:2715", + "pull_request:2869", + "pull_request:2911", + "pull_request:2912", + "pull_request:2913", + "pull_request:2952", + "pull_request:299", + "pull_request:3063", + "pull_request:3118", + "pull_request:3389", + "pull_request:3474", + "pull_request:353", + "pull_request:3549", + "pull_request:3572", + "pull_request:3971", + "pull_request:407", + "pull_request:421", + "pull_request:4275", + "pull_request:428", + "pull_request:4856", + "pull_request:715", + "pull_request:72", + "pull_request:798", + "pull_request:910", + "pull_request:948" + ], + "soft_pairs": [ + "pull_request:2086|pull_request:428", + "pull_request:21|pull_request:72", + "pull_request:2118|pull_request:715", + "pull_request:2137|pull_request:2715", + "pull_request:2137|pull_request:3118", + "pull_request:2138|pull_request:948", + "pull_request:2175|pull_request:3474", + "pull_request:2193|pull_request:2952", + "pull_request:22|pull_request:72", + "pull_request:2208|pull_request:910", + "pull_request:2278|pull_request:299", + "pull_request:2290|pull_request:3971", + "pull_request:2320|pull_request:260", + "pull_request:2320|pull_request:353", + "pull_request:2320|pull_request:407", + "pull_request:2320|pull_request:798", + "pull_request:2329|pull_request:3389", + "pull_request:2433|pull_request:3549", + "pull_request:2446|pull_request:421", + "pull_request:2446|pull_request:4275", + "pull_request:2539|pull_request:3063", + "pull_request:2540|pull_request:3572", + "pull_request:2566|pull_request:407", + "pull_request:2566|pull_request:798", + "pull_request:2587|pull_request:3474", + "pull_request:2604|pull_request:4856", + "pull_request:2624|pull_request:3474", + "pull_request:2639|pull_request:2869", + "pull_request:2639|pull_request:2911", + "pull_request:2639|pull_request:2912", + "pull_request:2639|pull_request:2913" + ], + "prepared_review_unit_hash": "716fb54eadbb918eadb92c34c402c3a397e99a0ac03816c8e07437217eb8e8f7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 90739, + "estimated_input_tokens": 22685, + "estimated_eval_tokens": 45626 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab-bag of unrelated docs fixes, typo fixes, small pipeline tweaks, and feature PRs. I don\u2019t see a true duplicate cluster among them; the only somewhat related pair is the SAG pipeline add-on docs, but it\u2019s a follow-up documentation update rather than the same change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2193 is the strongest anchor: it introduces the Self-Attention-Guided Stable Diffusion pipeline with docs, package exports, and tests, making it the clearest substantive feature PR in the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 2193 is the most representative and searchable artifact here because it is a full feature addition with explicit issue linkage, not just a minor doc or typo fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2086", + "right": "pull_request:428", + "accept": false, + "reason": "Both are docs-heavy, but they cover different topics: LoRA support vs general diffusers usage docs. Not the same underlying change." + }, + { + "left": "pull_request:21", + "right": "pull_request:72", + "accept": false, + "reason": "Different test additions in different areas; they do not fix or test the same concrete bug/change." + }, + { + "left": "pull_request:2118", + "right": "pull_request:715", + "accept": false, + "reason": "A typo fix in import-utils naming vs a guard for PyTorch-less imports are unrelated changes." + }, + { + "left": "pull_request:2137", + "right": "pull_request:2715", + "accept": false, + "reason": "Both are typo-focused, but they touch different files and different wording issues; not one same defect." + }, + { + "left": "pull_request:2137", + "right": "pull_request:3118", + "accept": false, + "reason": "Typo/documentation cleanup in loaders.py vs a ControlNet breaking-change fix are unrelated." + }, + { + "left": "pull_request:2138", + "right": "pull_request:948", + "accept": false, + "reason": "Separate typo fixes in different docs/code paths; not the same underlying change." + }, + { + "left": "pull_request:2175", + "right": "pull_request:3474", + "accept": false, + "reason": "Both are docs PRs, but one adds diffusion pipeline components docs and the other adds Attention Processor docs; 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None of the soft pairs look like the same underlying bug or change, so no duplicate cluster emerges.", + "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:6961", + "right": "pull_request:7803", + "accept": false, + "reason": "Different changes: 6961 is about single-file checkpoint loader tests, while 7803 only shrinks DDIM fast-test models." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7804", + "accept": false, + "reason": "Same broad theme of test cleanup, but one is single-file loader coverage and the other is AMUSED test model downsizing." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7833", + "accept": false, + "reason": "Not the same bug/change; 7833 reduces the AudioLDM fast test model size, unrelated to checkpoint loader tests." + }, + { + "left": "pull_request:710", + "right": "pull_request:798", + "accept": false, + "reason": "Both are docstring typo fixes in UNet files, but they touch different targets and are separate small docs changes." + }, + { + "left": "pull_request:7150", + "right": "pull_request:9266", + "accept": false, + "reason": "Unrelated docs updates: one changes a callback example, the other adds a community project entry." + }, + { + "left": "pull_request:737", + "right": "pull_request:839", + "accept": false, + "reason": "Both remove `use_auth_token` mentions, but 737 is a broad cleanup across multiple files while 839 only edits the DreamBooth README." + }, + { + "left": "pull_request:7410", + "right": "pull_request:7919", + "accept": false, + "reason": "Different subsystems and problems: FreeInit behavior versus offload behavior with `device_map`." + }, + { + "left": "pull_request:7638", + "right": "pull_request:8303", + "accept": false, + "reason": "Both are typo/link cleanup PRs, but they fix different text in different docs with no shared underlying issue." + }, + { + "left": "pull_request:7977", + "right": "pull_request:8642", + "accept": false, + "reason": "Separate typo fixes in different files and different pipelines; not the same underlying change." + }, + { + "left": "pull_request:806", + "right": "pull_request:971", + "accept": false, + "reason": "Completely different work: DreamBooth EMA support versus adding bit diffusion community code." + }, + { + "left": "pull_request:822", + "right": "pull_request:91", + "accept": false, + "reason": "Both involve scheduler API updates, but they are from different eras and change different pipelines/schedulers." + }, + { + "left": "pull_request:8478", + "right": "pull_request:9408", + "accept": false, + "reason": "Both add model support, but one is HunyuanDiT ControlNet and the other is Flux ControlNet img2img/inpaint; distinct features." + }, + { + "left": "pull_request:8498", + "right": "pull_request:8642", + "accept": false, + "reason": "Different typo fixes in different Stable Diffusion docs; no shared underlying bug." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8755", + "accept": false, + "reason": "Both are SD3 training related, but one refactors weighting utilities while the other fixes DreamBooth LoRA text encoder training logic." + }, + { + "left": "pull_request:8631", + "right": "pull_request:9473", + "accept": false, + "reason": "Unrelated changes: single-file T5 loading fix versus Flux DreamBooth optimizer learning-rate handling." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9266", + "accept": false, + "reason": "One adds a Colab link in an SD3 README; the other updates community projects. Same docs area, different changes." + }, + { + "left": "pull_request:9266", + "right": "pull_request:9553", + "accept": false, + "reason": "Different documentation topics: community projects listing versus distributed inference guidance." + }, + { + "left": "pull_request:9591", + "right": "pull_request:9592", + "accept": false, + "reason": "Both are docstring cleanups, but they touch different modules and unrelated APIs." + }, + { + "left": "pull_request:9699", + "right": "pull_request:9832", + "accept": false, + "reason": "CI workflow changes in different areas: adding a runner versus adding quantization nightly tests." + }, + { + "left": "pull_request:12004", + "right": "pull_request:12562", + "accept": false, + "reason": "Both involve Wan models, but 12004 adds Wan2.2 conversion/model support while 12562 fixes a context-parallel crash in a specific Wan TI2V model." + }, + { + "left": "pull_request:11081", + "right": "pull_request:11682", + "accept": false, + "reason": "Same offloading subsystem, but one adds `record_stream` support and the other adds disk/NVMe offload; these are separate features, not one fix." + }, + { + "left": "pull_request:7550", + "right": "pull_request:8992", + "accept": false, + "reason": "Both are community-style diffusion pipelines, but they target different models and different differential-diffusion implementations." + }, + { + "left": "pull_request:6868", + "right": "pull_request:6946", + "accept": false, + "reason": "Same IP-Adapter area, but 6868 adds pipeline-level image embeds while 6946 changes loading behavior with `low_cpu_mem_usage`." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13039", + "accept": false, + "reason": "Different problems: CI skipping of Sana layerwise casting tests versus a CPU dtype fix in Wan Animate." + }, + { + "left": "pull_request:12970", + "right": "pull_request:12988", + "accept": false, + "reason": "Both are context-parallel related, but 12970 fixes Qwen-Image CP compatibility while 12988 handles non-divisible sequence lengths in CP." + }, + { + "left": "pull_request:11835", + "right": "pull_request:12069", + "accept": false, + "reason": "Both are test-fix PRs, but 11835 adjusts float16 CUDA tests and 12069 fixes AudioLDM2 transformer/version 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": 265, + "review_unit_index": 59, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10581", + "pull_request:10717", + "pull_request:10911", + "pull_request:11353", + "pull_request:11588", + "pull_request:11786", + "pull_request:1215", + "pull_request:12714", + "pull_request:13313", + "pull_request:2062", + "pull_request:2892", + "pull_request:2915", + "pull_request:3446", + "pull_request:3968", + "pull_request:4034", + "pull_request:4083", + "pull_request:4099", + "pull_request:4498", + "pull_request:4572", + "pull_request:4629", + "pull_request:4632", + "pull_request:4666", + "pull_request:4714", + "pull_request:4761", + "pull_request:4783", + "pull_request:4944", + "pull_request:5015", + "pull_request:5217", + "pull_request:5407", + "pull_request:5506", + "pull_request:5615", + "pull_request:5750", + "pull_request:5852", + "pull_request:6330", + "pull_request:6573", + "pull_request:6816", + "pull_request:6946", + "pull_request:7016", + "pull_request:7118", + "pull_request:7458", + "pull_request:7893", + "pull_request:8571", + "pull_request:9175", + "pull_request:9257", + "pull_request:9506", + "pull_request:9676", + "pull_request:9770" + ], + "soft_pairs": [ + "pull_request:10581|pull_request:10717", + "pull_request:3446|pull_request:4714", + "pull_request:4034|pull_request:4666", + "pull_request:4572|pull_request:4632", + "pull_request:4629|pull_request:4783", + "pull_request:4761|pull_request:5407", + "pull_request:5506|pull_request:6816", + "pull_request:4944|pull_request:6946", + "pull_request:10318|pull_request:9257", + "pull_request:10911|pull_request:11786", + "pull_request:1215|pull_request:2062", + "pull_request:12714|pull_request:13313", + "pull_request:2892|pull_request:4099", + "pull_request:2915|pull_request:4666", + "pull_request:3968|pull_request:4083", + "pull_request:4498|pull_request:5750", + "pull_request:4666|pull_request:5615", + "pull_request:5015|pull_request:6330", + "pull_request:5217|pull_request:5852", + "pull_request:7118|pull_request:8571", + "pull_request:7458|pull_request:7893", + "pull_request:9175|pull_request:9770", + "pull_request:9506|pull_request:9676", + "pull_request:11353|pull_request:11588", + "pull_request:6573|pull_request:7016" + ], + "prepared_review_unit_hash": "04053b757108f38cdbb2cecd9cc1ee14826a35d307723f389f993bd1cb8e6583", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102267, + "estimated_input_tokens": 25567, + "estimated_eval_tokens": 51390 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs share only a subsystem name or a broad theme, not the same concrete bug/change. I would reject every soft edge.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No safe canonical PR: the items span unrelated fixes/features across LoRA, IP-Adapter, Flux, docs, CI, schedulers, and training scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR 7016 is the broadest and most central adapter-loading change in the set, but it still does not represent the unrelated items well.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10581", + "right": "pull_request:10717", + "accept": false, + "reason": "Both are IP-Adapter-related, but they target different pipelines and fixes; not the same concrete change." + }, + { + "left": "pull_request:3446", + "right": "pull_request:4714", + "accept": false, + "reason": "One is a warning-message tweak, the other a missing-transformers error-path fix; unrelated bugs." + }, + { + "left": "pull_request:4034", + "right": "pull_request:4666", + "accept": false, + "reason": "LoRA utility addition vs SDXL ControlNet LoRA enablement are different features, not duplicates." + }, + { + "left": "pull_request:4572", + "right": "pull_request:4632", + "accept": false, + "reason": "Example variable rename vs checkpointing/casting bug fix; different code paths and goals." + }, + { + "left": "pull_request:4629", + "right": "pull_request:4783", + "accept": false, + "reason": "Long weighted prompt pipeline work and embedding-zeroing docs are not the same change." + }, + { + "left": "pull_request:4761", + "right": "pull_request:5407", + "accept": false, + "reason": "Paint-by-example encoder fix and mixed-precision training fix are unrelated." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6816", + "accept": false, + "reason": "xformers/PEFT attention fix vs DDP+PEFT training-script fix; same ecosystem, different bug." + }, + { + "left": "pull_request:4944", + "right": "pull_request:6946", + "accept": false, + "reason": "General IP-Adapter support vs low_cpu_mem_usage loading optimization; related area, different change." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux LoRA test expansion and DreamBooth Flux prompt-tokenization fix are distinct." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11786", + "accept": false, + "reason": "Lumina2 LoRA NaN test and CI marker rename are unrelated." + }, + { + "left": "pull_request:1215", + "right": "pull_request:2062", + "accept": false, + "reason": "DDIM cpu-generator fix and paint-by-example cpu-offload fix address different components." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13313", + "accept": false, + "reason": "Flux2 LoRA NaN test and Kohya Flux2 LoRA conversion are separate issues." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4099", + "accept": false, + "reason": "Upcaler input-embed allowance and SDXL prompt-embed bug are not the same concrete defect." + }, + { + "left": "pull_request:2915", + "right": "pull_request:4666", + "accept": false, + "reason": "Test-threshold adjustment and SDXL ControlNet LoRA support are unrelated." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4083", + "accept": false, + "reason": "Both touch SDXL, but one is a broad docs/API cleanup and the other is low-precision VAE support." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds SDXL reference support; the other is a docs-only intro with no matching code change." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5615", + "accept": false, + "reason": "Enabling LoRA for SDXL ControlNet and reverting SDXL adapter LoRA loading are opposite, not duplicate, changes." + }, + { + "left": "pull_request:5015", + "right": "pull_request:6330", + "accept": false, + "reason": "Broken-link fix and SVD docs/video-rendering fix are unrelated documentation changes." + }, + { + "left": "pull_request:5217", + "right": "pull_request:5852", + "accept": false, + "reason": "PEFT import typo fix and PR test behavior fix address different problems." + }, + { + "left": "pull_request:7118", + "right": "pull_request:8571", + "accept": false, + "reason": "IP-Adapter docs typo cleanup and general errata/style pass are not duplicates." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7893", + "accept": false, + "reason": "Python-3.12 test skipping and Dockerfile Python 3.10 upgrades are unrelated infrastructure changes." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9770", + "accept": false, + "reason": "Flux Union ControlNet support and Xlabs ControlNet inpainting support are different feature implementations." + }, + { + "left": "pull_request:9506", + "right": "pull_request:9676", + "accept": false, + "reason": "Path/import docs fix and EntryNotFoundError import fix are unrelated." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11588", + "accept": false, + "reason": "Wan-FLF2V support and Wan LoRA loading support are different features." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7016", + "accept": false, + "reason": "Both concern IP-Adapter, but one adds multi-adapter support while the other refactors embed loading and skips image_encoder loading; 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": 1, + "component_count": 265, + "review_unit_index": 60, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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: the PRs only share superficial subsystem similarity (docs, tests, LoRA, pipelines) but each pair targets a different concrete change. All soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are a grab bag of unrelated fixes and feature PRs, so there is no single representative duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR; none of these PRs is suitable as a duplicate representative because the cluster is not cohesive.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10359", + "right": "pull_request:9206", + "accept": false, + "reason": "Both are test-focused, but they fix different broken tests in different pipelines/models; not the same bug." + }, + { + "left": "pull_request:11582", + "right": "pull_request:11726", + "accept": false, + "reason": "Both touch Wan LoRA paths, but one is a broad Wan VACE addition and the other is a loader/conversion fix; not mergeable as one change." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2734", + "accept": false, + "reason": "Same Habana docs area, but one adds documentation and the other updates version/benchmark numbers; different changes." + }, + { + "left": "pull_request:2001", + "right": "pull_request:483", + "accept": false, + "reason": "Both are typo-related, but they fix different files and unrelated typo sets." + }, + { + "left": "pull_request:2001", + "right": "pull_request:978", + "accept": false, + "reason": "Only generic typo cleanup overlap; these are different examples/docs and not the same underlying fix." + }, + { + "left": "pull_request:3716", + "right": "pull_request:4695", + "accept": false, + "reason": "Both are large pipeline additions, but for different pipelines and features; not the same code-path problem." + }, + { + "left": "pull_request:4370", + "right": "pull_request:4862", + "accept": false, + "reason": "One fixes dummy imports, the other fixes SDXL ControlNet img2img height/width handling; unrelated." + }, + { + "left": "pull_request:5275", + "right": "pull_request:6795", + "accept": false, + "reason": "Both involve SDXL examples, but one adds an SDXL example and the other changes dreambooth micro-conditioning; different changes." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13120", + "accept": false, + "reason": "Modular docs vs modular loading tests; same area, but not the same bug or change." + }, + { + "left": "pull_request:2223", + "right": "pull_request:888", + "accept": false, + "reason": "Both add pipelines, but they are completely different pipelines/features and should not be merged together." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3675", + "accept": false, + "reason": "Both are test tweaks, but they address different models and failure modes." + }, + { + "left": "pull_request:3446", + "right": "pull_request:4373", + "accept": false, + "reason": "A warning-message fix and an SDXL resize fix are unrelated." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4373", + "accept": false, + "reason": "Different pipeline bugs: initial-latent handling vs SDXL resize behavior." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5788", + "accept": false, + "reason": "Different issues: dummy-object import behavior vs LCM timestep scheduling validation." + }, + { + "left": "pull_request:530", + "right": "pull_request:689", + "accept": false, + "reason": "One is a test adjustment, the other changes attention implementation; 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not duplicates." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4859", + "accept": false, + "reason": "A doc image-link fix and an SDXL inpaint test adjustment are unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4395", + "accept": false, + "reason": "Different prompt-embedding and DreamBooth class-prompt bugs in separate codepaths." + }, + { + "left": "pull_request:4666", + "right": "pull_request:4749", + "accept": false, + "reason": "Both SDXL/LoRA-related, but one enables LoRA for ControlNet and the other fixes DreamBooth LoRA checkpointing." + }, + { + "left": "pull_request:5090", + "right": "pull_request:6119", + "accept": false, + "reason": "A T2I-Adapter fix and a LoRA fp16 gradient fix are unrelated." + }, + { + "left": "pull_request:5407", + "right": "pull_request:6564", + "accept": false, + "reason": "Mixed-precision training example fix vs IP-Adapter path handling; no shared underlying bug." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7247", + "accept": false, + "reason": "PixArt test initialization vs single-file config-checking tests; 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I would not merge any of the soft edges as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a canonical duplicate target here; the items span unrelated docs, training scripts, loading fixes, and scheduler/model changes.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global representative duplicate target, because the cluster does not center on one underlying fix or feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2385", + "right": "pull_request:2397", + "accept": false, + "reason": "Same pipeline file, but 2385 adds a utility helper while 2397 adds DDIM inversion support and docs; different changes." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12395", + "accept": false, + "reason": "Completely unrelated PRs: AudioLDM2 transformers compatibility vs workflow changes for prerelease installs." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5057", + "accept": false, + "reason": "Both touch SDXL-related code, but one fixes from_single_file loading and the other adds clip-skip support; different code paths." + }, + { + "left": "pull_request:12387", + "right": "pull_request:13280", + "accept": false, + "reason": "Both concern attention backends, but they add different kernels features (flash_hub vs flash_4_hub); not the same change." + }, + { + "left": "pull_request:3859", + "right": "pull_request:3968", + "accept": false, + "reason": "Large SDXL PRs, but one adds new pipelines and the other improves existing SDXL docs/loaders; not a single duplicate fix." + }, + { + "left": "pull_request:13209", + "right": "pull_request:13255", + "accept": false, + "reason": "Same helper file, but one normalizes ZImage key names and the other handles missing alpha tensors; distinct LoRA conversion bugs." + }, + { + "left": "pull_request:2037", + "right": "pull_request:3589", + "accept": false, + "reason": "Both are community README updates, but they add different pipelines/docs and different reference-trick notes." + }, + { + "left": "pull_request:3245", + "right": "pull_request:4022", + "accept": false, + "reason": "Separate translation updates for different languages, so they are not duplicates." + }, + { + "left": "pull_request:325", + "right": "pull_request:365", + "accept": false, + "reason": "Both are type-hint cleanups, but they affect different models/pipelines and are unrelated changes." + }, + { + "left": "pull_request:3321", + "right": "pull_request:4301", + "accept": false, + "reason": "Different documentation areas: controlling-generation overview vs Kandinsky docs." + }, + { + "left": "pull_request:333", + "right": "pull_request:335", + "accept": false, + "reason": "Both are type-hint PRs, but one targets a pipeline and the other a scheduler; separate changes." + }, + { + "left": "pull_request:3471", + "right": "pull_request:5298", + "accept": false, + "reason": "DreamBooth docs note vs LoRA convolution compile fix; unrelated changes." + }, + { + "left": "pull_request:3866", + "right": "pull_request:4343", + "accept": false, + "reason": "Both add a LoRA rank argument, but to different training scripts and flows; not the same concrete change." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5671", + "accept": false, + "reason": "Unrelated test/workflow changes; no shared underlying bug or feature." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4196", + "accept": false, + "reason": "Both are docs edits around SDXL, but they fix different documentation sections and examples." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5833", + "accept": false, + "reason": "One enforces accelerate for from_single_file, the other fixes import paths for ControlNet single-file loading; different problems." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5834", + "accept": false, + "reason": "Different single-file loading bug: dependency check versus import path correction." + }, + { + "left": "pull_request:4223", + "right": "pull_request:4262", + "accept": false, + "reason": "Both are training-script fixes, but for different scripts and issues; not mergeable as one PR." + }, + { + "left": "pull_request:4240", + "right": "pull_request:4717", + "accept": false, + "reason": "Both are docs fixes, but they touch different pages and different errors." + }, + { + "left": "pull_request:4272", + "right": "pull_request:5834", + "accept": false, + "reason": "Import cleanup in pipeline folders versus a single-file loading import bug; related theme, but different code paths." + }, + { + "left": "pull_request:4397", + "right": "pull_request:6236", + "accept": false, + "reason": "SDXL docstring tweak vs ControlNet inpainting docs example; unrelated documentation fixes." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7068", + "accept": false, + "reason": "Both are typo-fix sweeps, but they are broad, separate PRs across different files and times." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7451", + "accept": false, + "reason": "Another broad typo-fix sweep; similar theme, but not the same underlying change." + }, + { + "left": "pull_request:6078", + "right": "pull_request:6081", + "accept": false, + "reason": "Both mention sigmas, but one fixes Euler Discrete scheduler behavior and the other adjusts SDXL pipeline handling for torch.compile." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6633", + "accept": false, + "reason": "Unrelated fixes: saving LoRA weights from an unwrapped model versus reading checkpoint YAML contents." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 64, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 not a duplicate set: it contains many unrelated PRs across training scripts, LoRA loading, Flux, QwenImage, Sana, docs, and attention backends. The soft pairs are mostly false positives from broad subsystem overlap or nearby filenames, not the same underlying bug/change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the cluster spans many unrelated feature additions and bug fixes, so none of the PRs cleanly represents the whole set as a duplicate target.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative because the items do not share one concrete code-path problem or one mergeable change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7227", + "right": "pull_request:9168", + "accept": false, + "reason": "Both touch DreamBooth/LoRA script args, but they are different training scripts and different changes; not the same bug or patch." + }, + { + "left": "pull_request:12439", + "right": "pull_request:13280", + "accept": false, + "reason": "Both extend attention backends, but one adds kernels-based FA2/sage support and the other adds FA4 support; distinct backend changes." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10728", + "accept": false, + "reason": "One adds IP-Adapter support to Flux Img2Img pipelines; the other adjusts quantized Flux IP-Adapter loading. Related area, different code paths and goals." + }, + { + "left": "pull_request:13120", + "right": "pull_request:13410", + "accept": false, + "reason": "One adds tests for robust model loading; the other is an agent/modular doc update. Not the same underlying change." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2921", + "accept": false, + "reason": "Different fixes: training script xformers handling vs CPU offload indentation/behavior. Shared pipeline context only." + }, + { + "left": "pull_request:3506", + "right": "pull_request:3806", + "accept": false, + "reason": "One fixes checkpoint resume step scaling in code; the other adds README guidance for loading from checkpoints. Docs vs code, not duplicates." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5823", + "accept": false, + "reason": "Both are LoRA utilities, but one adds unload_lora_weights and the other adds adapter_names to fuse_lora. Separate features." + }, + { + "left": "pull_request:10951", + "right": "pull_request:11188", + "accept": false, + "reason": "Both are community pipeline additions, but they implement different pipelines and touch the shared README only incidentally." + }, + { + "left": "pull_request:9985", + "right": "pull_request:9988", + "accept": false, + "reason": "Flux family additions overlap, but 9985 is a broader multi-variant release while 9988 is Redux-only; not one concrete change." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12562", + "accept": false, + "reason": "Wan 2.2 LoRA loading support and a context-parallel crash fix are unrelated problems in different layers." + }, + { + "left": "pull_request:10510", + "right": "pull_request:10595", + "accept": false, + "reason": "DC-AE tiling support and bf16 attention dtype handling are separate fixes, even though both involve SANA/DC-AE." + }, + { + "left": "pull_request:1226", + "right": "pull_request:2009", + "accept": false, + "reason": "Padding/truncation fixes in stable diffusion are unrelated to adding textual inversion loader support." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4370", + "accept": false, + "reason": "One fixes prompt embedding handling in SDXL; the other corrects a dummy import path. No shared bug." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12249", + "accept": false, + "reason": "QwenImage pipeline additions and Step1X-Edit pipeline creation are entirely different feature areas." + }, + { + "left": "pull_request:12416", + "right": "pull_request:12439", + "accept": false, + "reason": "Modular QwenImage Edit Plus support is unrelated to attention backend kernel support." + }, + { + "left": "pull_request:5127", + "right": "pull_request:5938", + "accept": false, + "reason": "Multi-adapter image preprocessing in SDXL AdapterPipeline and ControlNet LoRA support are different pipeline features." + }, + { + "left": "pull_request:10532", + "right": "pull_request:10808", + "accept": false, + "reason": "LoRA state-dict parsing and PEFT config-key handling are both loader-related, but they fix different parsing/configuration bugs." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11704", + "accept": false, + "reason": "DreamBooth LoRA DS support and Wan AccVideo LoRA conversion are unrelated training/conversion changes." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13321", + "accept": false, + "reason": "A typing annotation cleanup in Cosmos is unrelated to guarding a torchvision import in a Cosmos pipeline." + }, + { + "left": "pull_request:1570", + "right": "pull_request:1622", + "accept": false, + "reason": "Both touch lpw_stable_diffusion community code, but one is a refactor/compatibility cleanup and the other is a later compatibility fix; not the same concrete patch." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3852", + "accept": false, + "reason": "Core ML docs addition and a contributor note in paradigms docs are unrelated documentation-only changes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:6303", + "accept": false, + "reason": "A blended text inpainting community pipeline and an ADD distillation training script are different features with no shared bug." + }, + { + "left": "pull_request:11896", + "right": "pull_request:12170", + "accept": false, + "reason": "One fixes disabling hooks when loading LoRAs; the other broadens Qwen LoRA conversion support. Same subsystem, different code paths." + }, + { + "left": "pull_request:12634", + "right": "pull_request:13229", + "accept": false, + "reason": "SANA-Video I2V pipeline support and adding an LTX2 VAE are related to SANA-Video, but they address different enhancements and are 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": 1, + "component_count": 265, + "review_unit_index": 65, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 candidates are a heterogeneous set of unrelated PRs that only share broad topical similarity (LoRA, CI, docs, or model-specific changes). 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"pull_request:10115", + "right": "pull_request:10429", + "accept": false, + "reason": "Same file, but the fixes are unrelated: FluxPosEmbed theta handling vs NPU float-dtype handling." + }, + { + "left": "pull_request:10197", + "right": "pull_request:9005", + "accept": false, + "reason": "Both touch CI runners, but they update different workflow infrastructure and scopes; not the same change." + }, + { + "left": "pull_request:10197", + "right": "pull_request:9274", + "accept": false, + "reason": "Different CI updates: TPU runner changes vs release-test workflow changes." + }, + { + "left": "pull_request:1020", + "right": "pull_request:2764", + "accept": false, + "reason": "Both are docs, but they cover unrelated topics and different documentation surfaces." + }, + { + "left": "pull_request:10206", + "right": "pull_request:10318", + "accept": false, + "reason": "One implements Flux LoRA unload support; the other adds Flux LoRA integration tests for expansion/turbo cases." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10378", + "accept": false, + "reason": "Docs-only mixin list update vs DreamBooth LoRA training support; different artifacts and purposes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:10648", + "accept": false, + "reason": "Both are docs updates, but one is AttnProcessor API coverage and the other is DDPM scheduler docs; unrelated." + }, + { + "left": "pull_request:10246", + "right": "pull_request:10885", + "accept": false, + "reason": "Different documentation additions for different APIs; no shared underlying bug or change." + }, + { + "left": "pull_request:10250", + "right": "pull_request:10783", + "accept": false, + "reason": "Unrelated bug fixes in different code paths: UNet 1D downsample vs fp16 unscaling in SDXL LoRA training." + }, + { + "left": "pull_request:10250", + "right": "pull_request:11439", + "accept": false, + "reason": "Different components and failure modes; only both are validation/runtime 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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": 265, + "review_unit_index": 76, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4717", + "pull_request:4721", + "pull_request:4722", + "pull_request:4766", + "pull_request:4794", + "pull_request:4822", + "pull_request:4853", + "pull_request:4856", + "pull_request:4999", + "pull_request:5041", + "pull_request:5063", + "pull_request:5065", + "pull_request:517", + "pull_request:5236", + "pull_request:5267", + "pull_request:5298", + "pull_request:5386", + "pull_request:5411", + "pull_request:5639", + "pull_request:568", + "pull_request:5727", + "pull_request:580", + "pull_request:5807", + "pull_request:5823", + "pull_request:5828", + "pull_request:5831", + "pull_request:5961", + "pull_request:5982", + "pull_request:5983", + "pull_request:5991", + "pull_request:6209", + "pull_request:6229", + "pull_request:6308", + "pull_request:6314", + "pull_request:6339", + "pull_request:6340", + "pull_request:6462", + "pull_request:6604", + "pull_request:6620", + "pull_request:6998", + "pull_request:7181", + "pull_request:7495", + "pull_request:7747", + "pull_request:7919", + "pull_request:822", + "pull_request:885", + "pull_request:978" + ], + "soft_pairs": [ + "pull_request:4717|pull_request:5831", + "pull_request:4721|pull_request:4794", + "pull_request:4721|pull_request:6620", + "pull_request:4721|pull_request:6998", + "pull_request:4722|pull_request:4766", + "pull_request:4794|pull_request:4999", + "pull_request:4822|pull_request:5961", + "pull_request:4853|pull_request:5065", + "pull_request:4856|pull_request:6314", + "pull_request:4856|pull_request:6462", + "pull_request:5041|pull_request:5982", + "pull_request:5063|pull_request:5961", + "pull_request:517|pull_request:885", + "pull_request:5236|pull_request:5983", + "pull_request:5267|pull_request:6209", + "pull_request:5267|pull_request:7495", + "pull_request:5298|pull_request:5991", + "pull_request:5386|pull_request:7181", + "pull_request:5411|pull_request:6998", + "pull_request:5639|pull_request:6339", + "pull_request:568|pull_request:978", + "pull_request:5727|pull_request:6340", + "pull_request:580|pull_request:822", + "pull_request:5807|pull_request:7919", + "pull_request:5823|pull_request:6229", + "pull_request:5823|pull_request:6308", + "pull_request:5828|pull_request:7747", + "pull_request:5831|pull_request:6604" + ], + "prepared_review_unit_hash": "a216075412015095839bacd8f18627ec97aa5d8966cde878b01da9f517f1d66c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 95930, + "estimated_input_tokens": 23983, + "estimated_eval_tokens": 48222 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated docs/typo PRs plus a few distinct code fixes; 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Different bugs." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6229", + "accept": false, + "reason": "Feature work for fuse_lora(adapter_names) versus adding a test dependency; clearly unrelated." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6308", + "accept": false, + "reason": "A LoRA API feature and LoRA test-fixture cleanup are not the same underlying change." + }, + { + "left": "pull_request:5828", + "right": "pull_request:7747", + "accept": false, + "reason": "These are separate test fixes for different VAE behaviors; no shared bug." + }, + { + "left": "pull_request:5831", + "right": "pull_request:6604", + "accept": false, + "reason": "ToC title cleanup and API autodoc exposure are unrelated 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": 1, + "component_count": 265, + "review_unit_index": 77, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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", + "pull_request:6620", + "pull_request:6760", + "pull_request:6952", + "pull_request:6961", + "pull_request:6965", + "pull_request:7015", + "pull_request:7062", + "pull_request:7181", + "pull_request:7260", + "pull_request:7301", + "pull_request:7472", + "pull_request:7495", + "pull_request:7697", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7857", + "pull_request:7913", + "pull_request:7977", + "pull_request:8426", + "pull_request:89", + "pull_request:98" + ], + "soft_pairs": [ + "pull_request:5838|pull_request:7697", + "pull_request:5855|pull_request:6209", + "pull_request:5855|pull_request:7495", + "pull_request:5901|pull_request:6760", + "pull_request:5901|pull_request:7260", + "pull_request:5911|pull_request:6403", + "pull_request:5961|pull_request:7977", + "pull_request:5982|pull_request:7857", + "pull_request:5986|pull_request:7472", + "pull_request:60|pull_request:89", + "pull_request:6081|pull_request:7913", + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 95272, + "estimated_input_tokens": 23818, + "estimated_eval_tokens": 47892 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated docs, tests, workflow, and feature PRs; 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not the same code-path fix." + }, + { + "left": "pull_request:5901", + "right": "pull_request:7260", + "accept": false, + "reason": "Both relate to IP Adapter support, but they modify different pipelines and different integration paths." + }, + { + "left": "pull_request:5911", + "right": "pull_request:6403", + "accept": false, + "reason": "Different features in different files: IPAdapterFull support versus WebUI-format training script support." + }, + { + "left": "pull_request:5961", + "right": "pull_request:7977", + "accept": false, + "reason": "Both are typo/docstring edits, but they fix different text in different files; not a duplicate change." + }, + { + "left": "pull_request:5982", + "right": "pull_request:7857", + "accept": false, + "reason": "Both add docs navigation entries, but they cover different model families and different documentation pages." + }, + { + "left": "pull_request:5986", + "right": "pull_request:7472", + "accept": false, + "reason": "Both are broken-link fixes, but they point to different pages and different link targets." + }, + { + "left": "pull_request:60", + "right": "pull_request:89", + "accept": false, + "reason": "PR 89 is a broader SDE-to-unconditional merge, while PR 60 is a narrower earlier fix; they overlap in files but are not the same concrete change." + }, + { + "left": "pull_request:6081", + "right": "pull_request:7913", + "accept": false, + "reason": "One edits SDXL pipeline sigma handling for torch.compile, the other adds custom sigmas/timesteps to ControlNet XL; different behavior and code paths." + }, + { + "left": "pull_request:61", + "right": "pull_request:98", + "accept": false, + "reason": "Both are conversion scripts, but they target different model families and conversion workflows." + }, + { + "left": "pull_request:6106", + "right": "pull_request:7015", + "accept": false, + "reason": "Both touch example docs/code around loading pipelines, but they fix different examples and different single-file loading issues." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7181", + "accept": false, + "reason": "Both are broad typo/doc cleanups, but they span different files and unrelated edits." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6952", + "accept": false, + "reason": "Different training examples with different bug fixes; not the same underlying change." + }, + { + "left": "pull_request:6147", + "right": "pull_request:6961", + "accept": false, + "reason": "One fixes single-file loading for SDXL inpainting/refiner, the other adds fast tests for single-file checkpoint loaders." + }, + { + "left": "pull_request:6163", + "right": "pull_request:6221", + "accept": false, + "reason": "Both are test fixes, but they cover different pipelines and different slow-test behaviors." + }, + { + "left": "pull_request:6229", + "right": "pull_request:6311", + "accept": false, + "reason": "Different CI/example concerns: one adds a PEFT dependency, the other adds Fast Diffusion docs." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7797", + "accept": false, + "reason": "One is CI dependency setup, the other shrinks DDPM test models; unrelated changes." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7803", + "accept": false, + "reason": "One is CI dependency setup, the other shrinks DDIM test models; unrelated changes." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7804", + "accept": false, + "reason": "One is CI dependency setup, the other shrinks Amused test models; unrelated changes." + }, + { + "left": "pull_request:6276", + "right": "pull_request:8426", + "accept": false, + "reason": "A community pipeline feature PR versus a workflow cleanup PR; no shared bug/change." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7301", + "accept": false, + "reason": "Different test suites and different assertions; both are test fixes but not the same issue." + }, + { + "left": "pull_request:63", + "right": "pull_request:98", + "accept": false, + "reason": "Different conversion utilities for different pipelines/models; not the same change." + }, + { + "left": "pull_request:6308", + "right": "pull_request:6965", + "accept": false, + "reason": "Both involve LoRA/PEFT tests, but they target different integration scenarios and different failures." + }, + { + "left": "pull_request:6332", + "right": "pull_request:7062", + "accept": false, + "reason": "Different community pipelines and different edits; not the same feature or bug." + }, + { + "left": "pull_request:6339", + "right": "pull_request:6620", + "accept": false, + "reason": "Both are docs-related, but one fixes AnimateDiff example docs and the other only adjusts script arguments/comments." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 78, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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", + "pull_request:6680|pull_request:7746", + "pull_request:6680|pull_request:8883", + "pull_request:6764|pull_request:7113", + "pull_request:7068|pull_request:7325", + "pull_request:7068|pull_request:9077", + "pull_request:7118|pull_request:7325", + "pull_request:7236|pull_request:9286", + "pull_request:7247|pull_request:7932", + "pull_request:7360|pull_request:8851", + "pull_request:7451|pull_request:9077", + "pull_request:7542|pull_request:8230", + "pull_request:7542|pull_request:8642", + "pull_request:7544|pull_request:7868", + "pull_request:7544|pull_request:8230", + "pull_request:7709|pull_request:7719", + "pull_request:7786|pull_request:7919", + "pull_request:7934|pull_request:8691", + "pull_request:7977|pull_request:9100", + "pull_request:8426|pull_request:9765", + "pull_request:8470|pull_request:8490", + "pull_request:8470|pull_request:8860", + "pull_request:8483|pull_request:8675", + "pull_request:8483|pull_request:9066", + "pull_request:8498|pull_request:9100", + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 heterogeneous PRs spanning docs, CI, tests, and unrelated feature work. 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not duplicate fixes." + }, + { + "left": "pull_request:7360", + "right": "pull_request:8851", + "accept": false, + "reason": "A scheduler docs tweak and AuraFlow docs addition are unrelated." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9077", + "accept": false, + "reason": "Both are typo fixes, but they are separate sweeps across different files and content." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8230", + "accept": false, + "reason": "A single CPU-offload test typo vs a broader offloading usage update; not the same concrete issue." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8642", + "accept": false, + "reason": "Different typo fixes in different tests/docs; not the same change." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7868", + "accept": true, + "reason": "Both fix the same CPU offload test expectations in the same test file and could plausibly be merged into one PR." + }, + { + "left": "pull_request:7544", + "right": "pull_request:8230", + "accept": false, + "reason": "One is a test assertion cleanup; 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no shared underlying bug/change." + }, + { + "left": "pull_request:8483", + "right": "pull_request:8675", + "accept": false, + "reason": "Large SD3 feature work vs a fast-diffusion docs note; unrelated." + }, + { + "left": "pull_request:8483", + "right": "pull_request:9066", + "accept": false, + "reason": "Adding SD3 core support and adding Stable Cascade docs are separate changes." + }, + { + "left": "pull_request:8498", + "right": "pull_request:9100", + "accept": false, + "reason": "Both are small typo fixes, but they target different content and are not the same correction." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8984", + "accept": false, + "reason": "XFormers support for SD3 and ONNX conversion/pipeline support are different code paths and changes." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9249", + "accept": false, + "reason": "SD3 attention backend support and a ControlNet example are unrelated." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9860", + "accept": false, + "reason": "Different SD3-related features in different subsystems; not mergeable as one PR." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9286", + "accept": false, + "reason": "A training script fix and an exported class addition are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted soft edges both look plausibly mergeable into a single PR for the same area of fix (CPU offload tests and the push_tests Tailscale workflow), while the rejected pairs are appropriately treated as distinct changes rather than duplicates. The representative PR choice and the note that there is no canonical duplicate anchor are both supported by 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": 265, + "review_unit_index": 79, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "All proposed soft edges look like false positives: they share broad themes (LoRA, ControlNet, SDXL, tests/docs, CI, typos) but not the same concrete bug or change path.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out; the candidates are heterogeneous and do not collapse into one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for deduping in this set, since none of the PRs are duplicates of each other.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8642", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are typo fixes, but one is SD3 docstring text and the other is PAG test assertions; unrelated changes." + }, + { + "left": "pull_request:8845", + "right": "pull_request:9765", + "accept": false, + "reason": "Same generic 'typo fix' theme, but they touch different features and code paths (PAG tests vs SD3 pipeline docs)." + }, + { + "left": "pull_request:8965", + "right": "pull_request:9994", + "accept": false, + "reason": "One is a small pipeline instantiation rename; the other adds OmniGen model/pipeline support. 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false, + "reason": "Wan t2v LoRA conversion support and Wan VACE exclude_modules tests are different model targets and different changes." + }, + { + "left": "pull_request:11124", + "right": "pull_request:11595", + "accept": false, + "reason": "CogView4 test fixture update and Flux LoRA load 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": 265, + "review_unit_index": 80, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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", + 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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": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 82, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10837", + "pull_request:10983", + "pull_request:11797", + "pull_request:12207", + "pull_request:1250", + "pull_request:12681", + "pull_request:12839", + "pull_request:12921", + "pull_request:13296", + "pull_request:13323", + "pull_request:13364", + "pull_request:1527", + "pull_request:192", + "pull_request:2009", + "pull_request:2037", + "pull_request:2415", + "pull_request:2921", + "pull_request:2994", + "pull_request:3245", + "pull_request:3294", + "pull_request:3471", + "pull_request:3691", + "pull_request:4315", + "pull_request:4659", + "pull_request:4666", + "pull_request:4684", + "pull_request:4706", + "pull_request:473", + "pull_request:4947", + "pull_request:5506", + "pull_request:5823", + "pull_request:5852", + "pull_request:6105", + "pull_request:6133", + "pull_request:6225", + "pull_request:6303", + "pull_request:6752", + "pull_request:6762", + "pull_request:6893", + "pull_request:7044", + "pull_request:7115", + "pull_request:7155", + "pull_request:7200", + "pull_request:7542", + "pull_request:7786", + "pull_request:826", + "pull_request:9244" + ], + "soft_pairs": [ + "pull_request:12839|pull_request:12921", + "pull_request:192|pull_request:2009", + "pull_request:3294|pull_request:3691", + "pull_request:4947|pull_request:6762", + "pull_request:5852|pull_request:7542", + "pull_request:10837|pull_request:10983", + "pull_request:6105|pull_request:6752", + "pull_request:2994|pull_request:826", + "pull_request:4659|pull_request:4666", + "pull_request:4706|pull_request:5506", + "pull_request:5823|pull_request:6225", + "pull_request:6893|pull_request:7044", + "pull_request:7200|pull_request:7786", + "pull_request:6133|pull_request:6303", + "pull_request:7115|pull_request:7155", + "pull_request:12681|pull_request:13296", + "pull_request:10318|pull_request:9244", + "pull_request:11797|pull_request:12207", + "pull_request:1250|pull_request:2037", + "pull_request:13323|pull_request:13364", + "pull_request:1527|pull_request:473", + "pull_request:2415|pull_request:2921", + "pull_request:3245|pull_request:4684", + "pull_request:3471|pull_request:4315" + ], + "prepared_review_unit_hash": "661ff5b3ddce9d13bae2aadcb8642e7886009bc1385bf9cb25550f8fbd674507", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 103250, + "estimated_input_tokens": 25813, + "estimated_eval_tokens": 51882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: the soft-similarity pairs mostly share only broad subsystems or filenames, but they do not describe the same underlying bug/change. 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distinct features, not one bug/change." + }, + { + "left": "pull_request:6105", + "right": "pull_request:6752", + "accept": false, + "reason": "Different community pipelines with no shared concrete fix or feature." + }, + { + "left": "pull_request:2994", + "right": "pull_request:826", + "accept": false, + "reason": "Both involve numeric casting, but they fix different training scripts and different failure modes." + }, + { + "left": "pull_request:4659", + "right": "pull_request:4666", + "accept": false, + "reason": "They both touch SDXL/controlnet areas, but one is a broader pipeline/docs change and the other adds LoRA support for SDXL ControlNets; not the same PR-worthy change." + }, + { + "left": "pull_request:4706", + "right": "pull_request:5506", + "accept": false, + "reason": "LoRA alpha fallback and PEFT/xformers attention handling are different bugs." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6225", + "accept": false, + "reason": "Both are LoRA/PEFT-related, but adapter fusion support and correct alpha parsing are separate changes." + }, + { + "left": "pull_request:6893", + "right": "pull_request:7044", + "accept": false, + "reason": "These are different UNet refactor efforts; not the same concrete change." + }, + { + "left": "pull_request:7200", + "right": "pull_request:7786", + "accept": false, + "reason": "Transformers2D norm-type validation and SVD video prompt handling are unrelated." + }, + { + "left": "pull_request:6133", + "right": "pull_request:6303", + "accept": false, + "reason": "UFOGen scheduler/pipeline support and ADD training scripts are unrelated features." + }, + { + "left": "pull_request:7115", + "right": "pull_request:7155", + "accept": false, + "reason": "Both touch Docker/CI, but one removes uv from a TPU Dockerfile and the other pins uv plus changes Slack notification logic; not the same change." + }, + { + "left": "pull_request:12681", + "right": "pull_request:13296", + "accept": false, + "reason": "CPU test stabilization and release-test transformer version updates are unrelated CI fixes." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9244", + "accept": false, + "reason": "Flux LoRA integration tests and Flux single-file pipeline support are different changes." + }, + { + "left": "pull_request:11797", + "right": "pull_request:12207", + "accept": false, + "reason": "Higgs quantization and Nunchaku incorporation are different quantization backends and code paths." + }, + { + "left": "pull_request:1250", + "right": "pull_request:2037", + "accept": false, + "reason": "Different community pipelines; no shared underlying bug or feature." + }, + { + "left": "pull_request:13323", + "right": "pull_request:13364", + "accept": false, + "reason": "A test-device check fix and a MotionConv2d dtype cast fix are unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:473", + "accept": false, + "reason": "Both touch inpainting, but one broadens tensor inputs while the other fixes a sample/doc issue; not the same bug." + }, + { + "left": "pull_request:2415", + "right": "pull_request:2921", + "accept": false, + "reason": "Pipeline loader version parsing and stable diffusion pipeline offload changes are unrelated." + }, + { + "left": "pull_request:3245", + "right": "pull_request:4684", + "accept": false, + "reason": "These are translation/documentation updates in different locales, not duplicates." + }, + { + "left": "pull_request:3471", + "right": "pull_request:4315", + "accept": false, + "reason": "Dreambooth docs note and torch.compile graph-break fix are different artifacts and not the same 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": 265, + "review_unit_index": 83, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10378", + "pull_request:11743", + "pull_request:11995", + "pull_request:12445", + "pull_request:13042", + "pull_request:13330", + "pull_request:2001", + "pull_request:2693", + "pull_request:3299", + "pull_request:333", + "pull_request:349", + "pull_request:3921", + "pull_request:3924", + "pull_request:3995", + "pull_request:4132", + "pull_request:4237", + "pull_request:4242", + "pull_request:4498", + "pull_request:4499", + "pull_request:4783", + "pull_request:4859", + "pull_request:4862", + "pull_request:5015", + "pull_request:5056", + "pull_request:5102", + "pull_request:5151", + "pull_request:5186", + "pull_request:5202", + "pull_request:5386", + "pull_request:5506", + "pull_request:5807", + "pull_request:5833", + "pull_request:5842", + "pull_request:5898", + "pull_request:5943", + "pull_request:6009", + "pull_request:6035", + "pull_request:6105", + "pull_request:6293", + "pull_request:6311", + "pull_request:6645", + "pull_request:6787", + "pull_request:6960", + "pull_request:7206", + "pull_request:7246", + "pull_request:7411", + "pull_request:7632" + ], + "soft_pairs": [ + "pull_request:3995|pull_request:4237", + "pull_request:5015|pull_request:5898", + "pull_request:5386|pull_request:7411", + "pull_request:5506|pull_request:6009", + "pull_request:5807|pull_request:6645", + "pull_request:5833|pull_request:7632", + "pull_request:5842|pull_request:6787", + "pull_request:6035|pull_request:7206", + "pull_request:6293|pull_request:6960", + "pull_request:7246|pull_request:7632", + "pull_request:5151|pull_request:5202", + "pull_request:11995|pull_request:12445", + "pull_request:5102|pull_request:5202", + "pull_request:10378|pull_request:11743", + "pull_request:13042|pull_request:13330", + "pull_request:2001|pull_request:3299", + "pull_request:2693|pull_request:3924", + "pull_request:333|pull_request:349", + "pull_request:3921|pull_request:6105", + "pull_request:4132|pull_request:4242", + "pull_request:4498|pull_request:5943", + "pull_request:4499|pull_request:4783", + "pull_request:4499|pull_request:5186", + "pull_request:4859|pull_request:4862", + "pull_request:5056|pull_request:6311" + ], + "prepared_review_unit_hash": "f45aa27f79ccf83853b7d33b333a91a43eba0f09953c40b700f5d7989ec9f112", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 100594, + "estimated_input_tokens": 25149, + "estimated_eval_tokens": 50554 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No true duplicate cluster is present here: the soft pairs are mostly superficial similarities (shared files, same subsystem, or docs/tests), but they address different bugs or unrelated changes. I would reject every soft edge.", + "confidence": 0.98, + "canonical_issue_reason": "No issue artifacts are present in this cluster.", + "canonical_pr_reason": "No single PR is a valid canonical duplicate target; the PRs span unrelated fixes, features, docs, tests, and examples rather than one underlying change.", + "best_issue_reason": "No issue artifact is suitable as a global canonical for this cluster.", + "best_pr_reason": "No PR stands out as a canonical representative because the items are heterogeneous and do not share one concrete code-path problem or change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3995", + "right": "pull_request:4237", + "accept": false, + "reason": "Both touch SDXL prompt encoding, but one adds prompt embeddings while the other fixes a dtype bug; different changes and not mergeable as one PR." + }, + { + "left": "pull_request:5015", + "right": "pull_request:5898", + "accept": false, + "reason": "One fixes a broken docs link, the other rewrites unconditional-image docs; same area, but unrelated edits." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7411", + "accept": false, + "reason": "Both are typo/doc cleanup PRs, but they touch different files and have no shared underlying bug/change." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6009", + "accept": false, + "reason": "PEFT/xFormers attention scaling fix vs TensorRT constructor argument fix; unrelated code paths." + }, + { + "left": "pull_request:5807", + "right": "pull_request:6645", + "accept": false, + "reason": "Community pipeline code vs community README housekeeping; not the same change." + }, + { + "left": "pull_request:5833", + "right": "pull_request:7632", + "accept": false, + "reason": "PixArt docs about low-VRAM usage vs DreamBooth VAE loading bug; unrelated issues." + }, + { + "left": "pull_request:5842", + "right": "pull_request:6787", + "accept": false, + "reason": "Both are model-specific bug fixes, but for different pipelines and different failure modes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7206", + "accept": false, + "reason": "One updates help text in an SDXL advanced training script; the other adds training tags across many scripts. Same file overlap is incidental." + }, + { + "left": "pull_request:6293", + "right": "pull_request:6960", + "accept": false, + "reason": "IP-Adapter feature work for SDXL ControlNet vs a flaky IP-Adapter test fix; different scopes and code changes." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7632", + "accept": false, + "reason": "VAE tiling test fix vs DreamBooth VAE loading bug; not the same defect." + }, + { + "left": "pull_request:5151", + "right": "pull_request:5202", + "accept": false, + "reason": "Both relate to LoRA/PEFT, but one integrates PEFT into UNet while the other adds Kohya checkpoint mapping support; different concrete changes." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12445", + "accept": false, + "reason": "Both modify Flux modular pipeline files, but one introduces the pipeline and the other aligns it with Qwen modular; not a single bug fix." + }, + { + "left": "pull_request:5102", + "right": "pull_request:5202", + "accept": false, + "reason": "LyCORIS support and Kohya checkpoint support are distinct loader enhancements." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11743", + "accept": false, + "reason": "DreamBooth LoRA DeepSpeed support vs a shortened Flux quantized training script; unrelated examples." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13330", + "accept": false, + "reason": "QwenImage prompt isolation test fix vs torchao test/CI adjustment; different artifacts and behavior." + }, + { + "left": "pull_request:2001", + "right": "pull_request:3299", + "accept": false, + "reason": "ColossalAI typo fix vs LoRA docs/readme sync; unrelated changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:3924", + "accept": false, + "reason": "Inpaint doc image link fix vs training tutorial parameter update; no shared underlying issue." + }, + { + "left": "pull_request:333", + "right": "pull_request:349", + "accept": false, + "reason": "Two separate type-hinting PRs for different classes/modules; not the same change." + }, + { + "left": "pull_request:3921", + "right": "pull_request:6105", + "accept": false, + "reason": "A new community pipeline implementation vs a different community pipeline addition; same section, but distinct changes." + }, + { + "left": "pull_request:4132", + "right": "pull_request:4242", + "accept": false, + "reason": "Both touch single-file loading/conversion, but one makes accelerate optional while the other adds VAE loading; different fixes." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5943", + "accept": false, + "reason": "SDXL reference pipeline support vs gradient checkpointing in Transformer2DModel; unrelated." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4783", + "accept": false, + "reason": "Reference-attention feature work vs docs for forcing embeddings to zero; different changes." + }, + { + "left": "pull_request:4499", + "right": "pull_request:5186", + "accept": false, + "reason": "Reference-attention feature work vs a FreeU proof-of-concept; unrelated." + }, + { + "left": "pull_request:4859", + "right": "pull_request:4862", + "accept": false, + "reason": "One fixes an SDXL inpaint test, the other fixes ControlNet img2img with MultiControlNetModel; different bugs." + }, + { + "left": "pull_request:5056", + "right": "pull_request:6311", + "accept": false, + "reason": "Multiple-LoRA docs vs a fast diffusion tutorial; both documentation, 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": 1, + "component_count": 265, + "review_unit_index": 84, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10310", + "pull_request:10508", + "pull_request:10578", + "pull_request:10648", + "pull_request:10728", + "pull_request:10854", + "pull_request:10938", + "pull_request:11099", + "pull_request:11292", + "pull_request:11473", + "pull_request:11508", + "pull_request:11522", + "pull_request:11744", + "pull_request:11755", + "pull_request:11756", + "pull_request:11789", + "pull_request:12231", + "pull_request:12397", + "pull_request:12418", + "pull_request:12551", + "pull_request:1256", + "pull_request:12775", + "pull_request:12921", + "pull_request:13056", + "pull_request:13296", + "pull_request:13344", + "pull_request:1400", + "pull_request:1945", + "pull_request:2486", + "pull_request:4481", + "pull_request:4930", + "pull_request:5792", + "pull_request:5834", + "pull_request:5915", + "pull_request:6633", + "pull_request:6764", + "pull_request:6828", + "pull_request:6946", + "pull_request:7016", + "pull_request:7235", + "pull_request:8282", + "pull_request:8660", + "pull_request:8702", + "pull_request:9536", + "pull_request:9696", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:5792|pull_request:5834", + "pull_request:6633|pull_request:8660", + "pull_request:6764|pull_request:8282", + "pull_request:7235|pull_request:8702", + "pull_request:9536|pull_request:9696", + "pull_request:5915|pull_request:6946", + "pull_request:1400|pull_request:1945", + "pull_request:4481|pull_request:4930", + "pull_request:12418|pull_request:12551", + "pull_request:5915|pull_request:7016", + "pull_request:6828|pull_request:7016", + "pull_request:10206|pull_request:11292", + "pull_request:10310|pull_request:11508", + "pull_request:10508|pull_request:11099", + "pull_request:10578|pull_request:10728", + "pull_request:10648|pull_request:11744", + "pull_request:10854|pull_request:11755", + "pull_request:10938|pull_request:9775", + "pull_request:11473|pull_request:12231", + "pull_request:11522|pull_request:12397", + "pull_request:11756|pull_request:11789", + "pull_request:12418|pull_request:13296", + "pull_request:1256|pull_request:2486", + "pull_request:12775|pull_request:13056", + "pull_request:12921|pull_request:13344" + ], + "prepared_review_unit_hash": "0260c7aecdab7058d1f5480763ae76958f0d473266aa31a21ec8d224bdd2de1b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 101723, + "estimated_input_tokens": 25431, + "estimated_eval_tokens": 51118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly superficial matches across unrelated PRs (docs, CI, tests, and separate feature work). None look like the same underlying change or bug fix, so I would not merge any of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out: the items span many unrelated changes, so there is no shared underlying change to centralize.", + "best_issue_reason": null, + "best_pr_reason": "No best PR for the cluster overall; the PRs are heterogeneous and do not form one duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5792", + "right": "pull_request:5834", + "accept": false, + "reason": "Both are import-related fixes, but they touch different loading paths and solve different problems." + }, + { + "left": "pull_request:6633", + "right": "pull_request:8660", + "accept": false, + "reason": "Unrelated changes: one fixes original checkpoint YAML reading, the other adds a max_sequence_length guard in SD3 controlnet input validation." + }, + { + "left": "pull_request:6764", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are documentation edits, but they cover different topics and different pages." + }, + { + "left": "pull_request:7235", + "right": "pull_request:8702", + "accept": false, + "reason": "Different scopes entirely: DreamBooth DoRA docs/support versus an SD3 conversion script." + }, + { + "left": "pull_request:9536", + "right": "pull_request:9696", + "accept": false, + "reason": "Tokenizer padding API tweak vs CI workflow changes; not the same code-path or fix." + }, + { + "left": "pull_request:5915", + "right": "pull_request:6946", + "accept": false, + "reason": "Same broad IP-Adapter area, but one adds IP-Adapter Plus support and the other adds low_cpu_mem_usage loading; distinct changes." + }, + { + "left": "pull_request:1400", + "right": "pull_request:1945", + "accept": false, + "reason": "One updates Versatile Diffusion attention parameters; the other adds UNet block tests. Different artifacts and goals." + }, + { + "left": "pull_request:4481", + "right": "pull_request:4930", + "accept": false, + "reason": "EDM pipeline/scheduler implementation versus Heun scheduler improvements; not the same concrete change." + }, + { + "left": "pull_request:12418", + "right": "pull_request:12551", + "accept": false, + "reason": "Both are CI/test stability tweaks, but they target different failing tests and unrelated skips/xfails." + }, + { + "left": "pull_request:5915", + "right": "pull_request:7016", + "accept": false, + "reason": "IP-Adapter Plus support and IP-Adapter embedding refactor are related broadly, but they are separate feature changes." + }, + { + "left": "pull_request:6828", + "right": "pull_request:7016", + "accept": false, + "reason": "UNetMotionModel IP-Adapter code change versus a wider IP-Adapter embedding refactor; not the same bug or patch." + }, + { + "left": "pull_request:10206", + "right": "pull_request:11292", + "accept": false, + "reason": "Different LoRA changes: Flux unload behavior vs more SDXL LoRA conversion support." + }, + { + "left": "pull_request:10310", + "right": "pull_request:11508", + "accept": false, + "reason": "Both affect CI workflows, but one gates fast GPU tests on PRs while the other changes torch.compile CI/test setup." + }, + { + "left": "pull_request:10508", + "right": "pull_request:11099", + "accept": false, + "reason": "Device-agnostic tests and PR-GPU workflow conditioning are unrelated test infrastructure changes." + }, + { + "left": "pull_request:10578", + "right": "pull_request:10728", + "accept": false, + "reason": "Both mention quantized Flux/IP-Adapter, but they solve different concrete problems in different loaders." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11744", + "accept": false, + "reason": "Docs-only scheduler update versus DreamBooth LoRA metadata/alpha support; unrelated changes." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11755", + "accept": false, + "reason": "One renames Hunyuan DiT test modules, the other fixes LTX CPU offload behavior; different code paths." + }, + { + "left": "pull_request:10938", + "right": "pull_request:9775", + "accept": false, + "reason": "Different documentation updates with no shared underlying bug or change." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12231", + "accept": false, + "reason": "A specific torchao docs typo fix versus a broad typo cleanup across community examples." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12397", + "accept": false, + "reason": "A pipeline compatibility fix for transformers main versus CI changes disabling transformers-from-main installs; related environment, but not the same change." + }, + { + "left": "pull_request:11756", + "right": "pull_request:11789", + "accept": false, + "reason": "Both are test fixes, but they target different pipelines and different numerical/device issues." + }, + { + "left": "pull_request:12418", + "right": "pull_request:13296", + "accept": false, + "reason": "One xfails a failing pipeline test; the other updates transformers version handling in release tests. Separate CI fixes." + }, + { + "left": "pull_request:1256", + "right": "pull_request:2486", + "accept": false, + "reason": "Negative prompt test adjustment and mixin skip relocation are unrelated test changes." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13056", + "accept": false, + "reason": "Z-Image docs and Z-Image LoRA training are related by model family, but not the same underlying change." + }, + { + "left": "pull_request:12921", + "right": "pull_request:13344", + "accept": false, + "reason": "The latter adds GLM Image model tests and a small model metadata tweak, but it is not the same change as introducing GLM Image support itself." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 85, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1561", + "pull_request:1668", + "pull_request:1687", + "pull_request:2415", + "pull_request:2746", + "pull_request:2767", + "pull_request:288", + "pull_request:2974", + "pull_request:3197", + "pull_request:3266", + "pull_request:3474", + "pull_request:3568", + "pull_request:3839", + "pull_request:3979", + "pull_request:3987", + "pull_request:401", + "pull_request:4211", + "pull_request:4227", + "pull_request:4546", + "pull_request:4762", + "pull_request:4862", + "pull_request:4934", + "pull_request:5051", + "pull_request:5144", + "pull_request:5275", + "pull_request:5367", + "pull_request:5386", + "pull_request:5499", + "pull_request:5506", + "pull_request:5626", + "pull_request:5702", + "pull_request:5741", + "pull_request:5982", + "pull_request:6035", + "pull_request:6140", + "pull_request:6216", + "pull_request:6291", + "pull_request:6578", + "pull_request:6795", + "pull_request:6808", + "pull_request:6875", + "pull_request:7141", + "pull_request:7335", + "pull_request:7857", + "pull_request:7916", + "pull_request:806", + "pull_request:837", + "pull_request:874" + ], + "soft_pairs": [ + "pull_request:1561|pull_request:2974", + "pull_request:1668|pull_request:1687", + "pull_request:1687|pull_request:806", + "pull_request:2415|pull_request:2767", + "pull_request:2746|pull_request:837", + "pull_request:288|pull_request:401", + "pull_request:2974|pull_request:874", + "pull_request:3197|pull_request:3266", + "pull_request:3474|pull_request:4227", + "pull_request:3568|pull_request:5499", + "pull_request:3839|pull_request:4546", + "pull_request:3979|pull_request:5702", + "pull_request:3987|pull_request:5144", + "pull_request:4211|pull_request:5367", + "pull_request:4762|pull_request:6795", + "pull_request:4862|pull_request:6578", + "pull_request:4934|pull_request:6035", + "pull_request:5051|pull_request:5386", + "pull_request:5051|pull_request:7141", + "pull_request:5275|pull_request:5982", + "pull_request:5506|pull_request:5741", + "pull_request:5626|pull_request:6808", + "pull_request:5982|pull_request:7916", + "pull_request:6140|pull_request:7857", + "pull_request:6216|pull_request:6875", + "pull_request:6291|pull_request:7335" + ], + "prepared_review_unit_hash": "36a3c495659de281c23601aa30979d21bbc1d58b2c5601fa423c523f753293c2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 94227, + "estimated_input_tokens": 23557, + "estimated_eval_tokens": 47370 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated small docs, example, test, and bugfix PRs. No soft edge looks like the same underlying change, so I rejected them all. The most representative PR in the set is the broad typo/docs cleanup PR.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5386 is the broadest repo-wide cleanup in the set, touching many docs/examples with the same minor-fix character as several candidates.", + "best_issue_reason": null, + "best_pr_reason": "PR 5386 is the best representative for this cluster because it is a wide, merged cleanup PR and most closely matches the general theme of small documentation fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1561", + "right": "pull_request:2974", + "accept": false, + "reason": "Different changes: Stable Diffusion Mega pipeline vs TensorRT community pipeline/docs. Same area (community pipelines) is too broad." + }, + { + "left": "pull_request:1668", + "right": "pull_request:1687", + "accept": false, + "reason": "Related checkpointing theme, but 1668 is Dreambooth save/restore state while 1687 extends checkpointing to other scripts; not the same PR-level change." + }, + { + "left": "pull_request:1687", + "right": "pull_request:806", + "accept": false, + "reason": "Both touch Dreambooth, but one is checkpointing rollout and the other is an older WIP EMA/reporting change. Different underlying changes." + }, + { + "left": "pull_request:2415", + "right": "pull_request:2767", + "accept": false, + "reason": "Unrelated code paths: pipeline loading/version handling vs LoRA training script PEFT flag usage." + }, + { + "left": "pull_request:2746", + "right": "pull_request:837", + "accept": false, + "reason": "Both are docs-only fixes, but one is fp16 prose and the other is a speedup-ratio correction. Not the same change." + }, + { + "left": "pull_request:288", + "right": "pull_request:401", + "accept": false, + "reason": "Type hints for a pipeline implementation vs docs for the same pipeline family. Different artifact types and scope." + }, + { + "left": "pull_request:2974", + "right": "pull_request:874", + "accept": false, + "reason": "Both affect community README content, but one adds a TensorRT pipeline and the other adds a generic inference example. Not duplicate." + }, + { + "left": "pull_request:3197", + "right": "pull_request:3266", + "accept": false, + "reason": "One is a large lpw_stable_diffusion pipeline update; the other fixes dynamic module version loading. No shared bug/change." + }, + { + "left": "pull_request:3474", + "right": "pull_request:4227", + "accept": false, + "reason": "Docs for attention processors vs a missing import in textual inversion README. Different topics and files." + }, + { + "left": "pull_request:3568", + "right": "pull_request:5499", + "accept": false, + "reason": "Both fix broken links, but in different documentation pages and with different link targets. Too generic to call duplicate." + }, + { + "left": "pull_request:3839", + "right": "pull_request:4546", + "accept": false, + "reason": "Scheduler add_noise bugfix vs a typo in a conversion script docstring. Completely different changes." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5702", + "accept": false, + "reason": "Different bugs in different pipelines: SDXL attention/precision logic vs AnimateDiff prompt default handling." + }, + { + "left": "pull_request:3987", + "right": "pull_request:5144", + "accept": false, + "reason": "Separate documentation snippet fixes in unrelated pipeline pages." + }, + { + "left": "pull_request:4211", + "right": "pull_request:5367", + "accept": false, + "reason": "SDXL docstring cleanup in two pipeline files vs a tutorial code creation fix. Not the same underlying change." + }, + { + "left": "pull_request:4762", + "right": "pull_request:6795", + "accept": false, + "reason": "Different SDXL training docs/examples changes: VAE variable naming vs micro-conditioning/crop args." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6578", + "accept": false, + "reason": "ControlNet SDXL MultiControlNet bugfix vs a docs heading indentation fix. No overlap in actual change." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6035", + "accept": false, + "reason": "T2I-Adapter training script/docs vs advanced DreamBooth LoRA help text. Same training umbrella, different changes." + }, + { + "left": "pull_request:5051", + "right": "pull_request:5386", + "accept": false, + "reason": "Both are typo/docs cleanups, but 5051 is Wuerstchen-specific while 5386 is broad repo-wide cleanup. Not the same fix." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7141", + "accept": false, + "reason": "Docs typo cleanup vs Stable Video Diffusion step numbering. Different pages and issues." + }, + { + "left": "pull_request:5275", + "right": "pull_request:5982", + "accept": false, + "reason": "Different features entirely: SDXL Flax example vs SDXL Turbo docs." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5741", + "accept": false, + "reason": "Same PEFT subsystem, but one fixes xformers+LoRA scaling and the other speeds up LoRA unload. Different concrete problems." + }, + { + "left": "pull_request:5626", + "right": "pull_request:6808", + "accept": false, + "reason": "Different tests for different environments: CPU offload assertion vs MPS test collection fix." + }, + { + "left": "pull_request:5982", + "right": "pull_request:7916", + "accept": false, + "reason": "SDXL Turbo docs vs Ascend NPU support in the SDXL training script. No shared change." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7857", + "accept": false, + "reason": "Both add docs pages, but for unrelated features (IP-Adapter vs PixArtSigma). Not duplicate." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6875", + "accept": false, + "reason": "Both are test adjustments, but for different features and failure modes: PEFT version handling vs IP-Adapter output changes." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7335", + "accept": false, + "reason": "LoRA unfusion test fix vs ControlNet SDXL config test fix. Different tests 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": 265, + "review_unit_index": 86, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Mostly a heterogeneous set of small, unrelated docs/tests/style or feature PRs. The only clear duplicate-like pair is the two Wan VACE bf16/fp16 mask-casting fixes.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12143 is the cleaner canonical for the Wan VACE dtype fix: it keeps the mask cast in the right place and adds regression coverage, while 12142 is the earlier near-duplicate variant.", + "best_issue_reason": null, + "best_pr_reason": "PR 12143 is the best representative of the only true duplicate pair in this set because it fixes the same code path more completely and includes tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6342", + "right": "pull_request:6724", + "accept": false, + "reason": "Unrelated docs updates: installation guidance vs LoRA rank wording." + }, + { + "left": "pull_request:6808", + "right": "pull_request:7542", + "accept": false, + "reason": "Both are test fixes, but they address different failures and code paths." + }, + { + "left": "pull_request:7050", + "right": "pull_request:8571", + "accept": false, + "reason": "Typos in example docs/tests versus a broad style/errata PR; not the same change." + }, + { + "left": "pull_request:7124", + "right": "pull_request:8715", + "accept": false, + "reason": "Different DreamBooth scripts and different fixes: a kwarg rename vs adding clip_skip support." + }, + { + "left": "pull_request:7291", + "right": "pull_request:7411", + "accept": false, + "reason": "Documentation typo fix in UNet2DConditionModel vs unrelated typo cleanup across many schedulers/docs." + }, + { + "left": "pull_request:7487", + "right": "pull_request:8715", + "accept": false, + "reason": "Different features: SDXL DreamBooth full-weight training vs clip_skip argument for advanced LoRA." + }, + { + "left": "pull_request:7542", + "right": "pull_request:9100", + "accept": false, + "reason": "Different test typo/usage fixes in different files; no shared bug." + }, + { + "left": "pull_request:7747", + "right": "pull_request:7868", + "accept": false, + "reason": "Same test file, but one fixes VAE tiling assertions and the other fixes offload-device expectations." + }, + { + "left": "pull_request:7827", + "right": "pull_request:7868", + "accept": false, + "reason": "Docstring CPU-offload example fix is unrelated to the offload test assertion change." + }, + { + "left": "pull_request:8272", + "right": "pull_request:9008", + "accept": false, + "reason": "Grammar cleanup in scheduler error messages versus broad typo/style cleanup across workflows/docs." + }, + { + "left": "pull_request:8490", + "right": "pull_request:8775", + "accept": false, + "reason": "Both touch README content, but one fixes SD3 DreamBooth docs and the other adds a Colab link; different changes." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8630", + "accept": false, + "reason": "Different SD3 attention backend support vs SD3 DreamBooth LoRA text-encoder training." + }, + { + "left": "pull_request:8775", + "right": "pull_request:8860", + "accept": false, + "reason": "README link update vs a separate README edit with no evidence of the same underlying change." + }, + { + "left": "pull_request:9008", + "right": "pull_request:9100", + "accept": false, + "reason": "Broad typo/style cleanup across many files versus a single typo fix in one training script." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9807", + "accept": false, + "reason": "Different DreamBooth/Flux adapter fixes in the same script family, but not the same bug or code path." + }, + { + "left": "pull_request:11572", + "right": "pull_request:12021", + "accept": false, + "reason": "Different LTX work: LoRA conversion support vs attention backend support." + }, + { + "left": "pull_request:10589", + "right": "pull_request:10728", + "accept": false, + "reason": "Both mention IP-Adapter, but they fix different pipelines and code paths (SD3 img2img vs Flux quantization loader)." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6828", + "accept": false, + "reason": "IP-Adapter support in different components; one is multi-adapter plumbing, the other UNetMotionModel handling." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11715", + "accept": false, + "reason": "Both adjust tests for bitsandbytes/compilation, but they target different test classes and versions." + }, + { + "left": "pull_request:10970", + "right": "pull_request:11273", + "accept": false, + "reason": "Different areas entirely: workflow automation vs Slack notification timeout handling." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12687", + "accept": false, + "reason": "Different bugs and files: Wan VACE mask dtype issue vs a typo rename in autoencoder_dc." + }, + { + "left": "pull_request:12143", + "right": "pull_request:12687", + "accept": false, + "reason": "Same as above; unrelated Wan VACE fix versus autoencoder_dc typo correction." + }, + { + "left": "pull_request:2919", + "right": "pull_request:3847", + "accept": false, + "reason": "Test speedup in UNet3DConditionModel versus dependency-check workflow; unrelated." + }, + { + "left": "pull_request:3214", + "right": "pull_request:4886", + "accept": false, + "reason": "Attention reshape bug versus upscale pipeline safety-checker behavior; different code paths." + }, + { + "left": "pull_request:3586", + "right": "pull_request:4417", + "accept": false, + "reason": "Community pipeline addition versus Zero123 support/docs PR; not the same change." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4629", + "accept": false, + "reason": "SDXL prompt embedding bug fix versus unrelated documentation removal/addition work." + }, + { + "left": "pull_request:4242", + "right": "pull_request:6147", + "accept": false, + "reason": "Both touch single-file loading, but they fix different model-loading cases (VAE loading vs SDXL inpainting/refiner args)." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12143", + "accept": true, + "reason": "Both patch the same Wan VACE bf16/fp16 mask-casting bug in `pipeline_wan_vace.py`; 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unrelated." + }, + { + "left": "pull_request:7627", + "right": "pull_request:8902", + "accept": false, + "reason": "Playground img2img latents mean/std handling vs sharded checkpoint loading path fix; unrelated." + }, + { + "left": "pull_request:12055", + "right": "pull_request:12063", + "accept": false, + "reason": "Qwen-Image model addition vs Qwen-Image VAE license header update; same project area but entirely different change." + }, + { + "left": "pull_request:5668", + "right": "pull_request:5880", + "accept": false, + "reason": "Transformers-optional compatibility work vs VAE config/latent-diffusion support; different underlying problems." + }, + { + "left": "pull_request:6752", + "right": "pull_request:7692", + "accept": false, + "reason": "PromptDiffusion community pipeline vs PAG community pipeline; both community examples, but different algorithms and codebases." + }, + { + "left": "pull_request:10750", + "right": "pull_request:11655", + "accept": false, + "reason": "Flux ControlNet img2img support vs bnb 8-bit Flux Control LoRA support; 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"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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly a grab bag of unrelated docs, CI, test-refactor, and feature PRs. I don\u2019t see a single underlying bug/change connecting any soft-edge pair, so all candidates should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not form a duplicate set around one concrete change.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for deduping; none of these PRs is a representative duplicate anchor for the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12247", + "right": "pull_request:12272", + "accept": false, + "reason": "Different changes: AutoGuidance validation vs Flux modular pipeline defaults." + }, + { + "left": "pull_request:1227", + "right": "pull_request:2175", + "accept": false, + "reason": "Both are docs, but they target unrelated documentation topics and files." + }, + { + "left": "pull_request:1227", + "right": "pull_request:2587", + "accept": false, + "reason": "Multi-modal docs vs translated docs; no shared underlying change." + }, + { + "left": "pull_request:1227", + "right": "pull_request:2624", + "accept": false, + "reason": "Docs for multi-modal examples vs cache_dir API docs are unrelated." + }, + { + "left": "pull_request:1227", + "right": "pull_request:429", + "accept": false, + "reason": "Different doc topics: community examples vs config docs." + }, + { + "left": "pull_request:1227", + "right": "pull_request:500", + "accept": false, + "reason": "Community examples docs vs subfolder docs; unrelated." + }, + { + "left": "pull_request:1230", + "right": "pull_request:1751", + "accept": false, + "reason": "MPS fast-test fix vs UnCLIP generator fix; different code paths and models." + }, + { + "left": "pull_request:1230", + "right": "pull_request:2362", + "accept": false, + "reason": "Test runtime tweak vs adding an MPS skip decorator; not the same bug." + }, + { + "left": "pull_request:1230", + "right": "pull_request:3079", + "accept": false, + "reason": "DDIM/DDPM MPS generator issue vs attend-and-excite test speedup." + }, + { + "left": "pull_request:12307", + "right": "pull_request:12980", + "accept": false, + "reason": "12307 is broad modular pipeline work; 12980 is a localized MellonParam/docstring fix in the same file, not the same change." + }, + { + "left": "pull_request:12343", + "right": "pull_request:12479", + "accept": false, + "reason": "VAE slicing bug fix vs environment constant casing fix; unrelated subsystems." + }, + { + "left": "pull_request:12387", + "right": "pull_request:12416", + "accept": false, + "reason": "FlashAttention-kernels support vs QwenImage Edit Plus modular support; unrelated feature work." + }, + { + "left": "pull_request:12487", + "right": "pull_request:13040", + "accept": false, + "reason": "Different docs fixes: broken links vs CLI warning grammar." + }, + { + "left": "pull_request:12487", + "right": "pull_request:13076", + "accept": false, + "reason": "Broken links cleanup vs quantization config syntax fix." + }, + { + "left": "pull_request:12487", + "right": "pull_request:13181", + "accept": false, + "reason": "Broken links cleanup vs torchrun command order docs fix." + }, + { + "left": "pull_request:12552", + "right": "pull_request:13040", + "accept": false, + "reason": "Kandinsky docs typos vs fp16_safetensors warning/docs cleanup." + }, + { + "left": "pull_request:12552", + "right": "pull_request:13076", + "accept": false, + "reason": "Kandinsky docs typos vs TorchAO quantization syntax fix." + }, + { + "left": "pull_request:12552", + "right": "pull_request:13181", + "accept": false, + "reason": "Kandinsky docs typos vs distributed_inference torchrun docs fix." + }, + { + "left": "pull_request:12618", + "right": "pull_request:13294", + "accept": false, + "reason": "CI uv install typo vs WanVACE test flakiness fix." + }, + { + "left": "pull_request:12675", + "right": "pull_request:13135", + "accept": false, + "reason": "SanaVideo docs typo cleanup vs LTX2 i2v docstring correction." + }, + { + "left": "pull_request:12731", + "right": "pull_request:12890", + "accept": false, + "reason": "Bria Fibo docs edits vs Wan pipeline hfoptions cleanup; different pages and issues." + }, + { + "left": "pull_request:12757", + "right": "pull_request:12890", + "accept": false, + "reason": "Attention-backends doc formatting vs Wan pipeline docs cleanup." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13158", + "accept": false, + "reason": "Z-Image docs addition vs QwenImage layered docs; different models/features." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13253", + "accept": false, + "reason": "Docs addition for Z-Image vs Z-Image transformer test refactor; docs and tests are not the same change." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2836", + "accept": false, + "reason": "Both fix links, but in different guides and for different target pages." + }, + { + "left": "pull_request:12890", + "right": "pull_request:12971", + "accept": false, + "reason": "Wan docs cleanup vs distributed inference section reordering; unrelated docs changes." + }, + { + "left": "pull_request:12890", + "right": "pull_request:13400", + "accept": false, + "reason": "Wan docs cleanup vs profiling README update; unrelated documentation." + }, + { + "left": "pull_request:12980", + "right": "pull_request:13115", + "accept": false, + "reason": "MellonParam bug/docstring fix vs modular flux export tweaks; not the same bug or code path." + }, + { + "left": "pull_request:12984", + "right": "pull_request:13382", + "accept": false, + "reason": "Flux2 Klein docs/code addition vs modular auto-docstring docs; unrelated." + }, + { + "left": "pull_request:12984", + "right": "pull_request:13499", + "accept": false, + "reason": "Flux2 Klein docs/code addition vs speed-memory docs mention of TorchAO; unrelated." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13368", + "accept": false, + "reason": "Wan model test refactor vs AutoencoderKL test refactor; different models and failure modes." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13369", + "accept": false, + "reason": "Wan model test refactor vs AutoencoderDC test refactor; unrelated models." + }, + { + "left": "pull_request:13174", + "right": "pull_request:13344", + "accept": false, + "reason": "Attention-backend tests vs GLM Image transformer tests; different test targets and code paths." + }, + { + "left": "pull_request:1319", + "right": "pull_request:421", + "accept": false, + "reason": "Scheduler subfolder loading fix vs scheduler docs typo correction; code vs docs, 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": 265, + "review_unit_index": 94, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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", + "pull_request:3166", + "pull_request:3241", + "pull_request:3389", + "pull_request:3417", + "pull_request:3554", + "pull_request:3555", + "pull_request:395", + "pull_request:407", + "pull_request:641", + "pull_request:72", + "pull_request:798", + "pull_request:831", + "pull_request:848", + "pull_request:874", + "pull_request:908", + "pull_request:948", + "pull_request:98" + ], + "soft_pairs": [ + "pull_request:1330|pull_request:908", + "pull_request:1341|pull_request:874", + "pull_request:1373|pull_request:1849", + "pull_request:1394|pull_request:831", + "pull_request:1401|pull_request:848", + "pull_request:1408|pull_request:98", + "pull_request:1412|pull_request:3389", + "pull_request:1412|pull_request:72", + "pull_request:1423|pull_request:168", + "pull_request:1437|pull_request:260", + "pull_request:1437|pull_request:407", + "pull_request:1437|pull_request:798", + "pull_request:1467|pull_request:3066", + "pull_request:1490|pull_request:641", + "pull_request:1496|pull_request:154", + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 100930, + "estimated_input_tokens": 25233, + "estimated_eval_tokens": 50722 + }, + "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 (feature additions, version bumps, docs, typo fixes, and tests). I found no true duplicate PR pair; the soft matches are mostly same-file or same-subsystem coincidences, not the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No exact duplicate PR is evident in this set. If one PR must represent the cluster, #1401 is the most central concrete bugfix because it changes runtime behavior across multiple pipelines and includes matching test updates.", + "best_issue_reason": null, + "best_pr_reason": "#1401 ('Make height and width optional') is the strongest representative: it fixes a user-facing pipeline behavior, touches many related code paths, and has clear test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1330", + "right": "pull_request:908", + "accept": false, + "reason": "Different changes: inpaint scaling bugfix vs community mega pipeline using the legacy inpaint class." + }, + { + "left": "pull_request:1341", + "right": "pull_request:874", + "accept": false, + "reason": "Different scope: new Stable Diffusion repaint pipeline vs a docs/example README entry." + }, + { + "left": "pull_request:1373", + "right": "pull_request:1849", + "accept": false, + "reason": "Same broad versatile-diffusion area, but one adds pipelines while the other fixes cross_attention_kwargs plumbing; not the same bug/change." + }, + { + "left": "pull_request:1394", + "right": "pull_request:831", + "accept": false, + "reason": "Both are version bumps, but they are separate release bumps with different surrounding changes and timeframes." + }, + { + "left": "pull_request:1401", + "right": "pull_request:848", + "accept": false, + "reason": "Related height/width behavior, but one is a multi-pipeline PyTorch fix and the other is a Flax-specific latent shape fix; not one mergeable PR." + }, + { + "left": "pull_request:1408", + "right": "pull_request:98", + "accept": false, + "reason": "Both are conversion scripts, but they target different model families and different code paths." + }, + { + "left": "pull_request:1412", + "right": "pull_request:3389", + "accept": false, + "reason": "One adds SD2 inpainting tests; the other is an attention-refactor integration test PR." + }, + { + "left": "pull_request:1412", + "right": "pull_request:72", + "accept": false, + "reason": "Unrelated test additions for different components and model families." + }, + { + "left": "pull_request:1423", + "right": "pull_request:168", + "accept": false, + "reason": "Flax Stable Diffusion 2 support is a later feature expansion, not the same as the original Stable Diffusion pipeline PR." + }, + { + "left": "pull_request:1437", + "right": "pull_request:260", + "accept": false, + "reason": "Both are typo fixes, but they are in different files and fix different text." + }, + { + "left": "pull_request:1437", + "right": "pull_request:407", + "accept": false, + "reason": "Same file family, but these fix different typos in different comments; not the same underlying change." + }, + { + "left": "pull_request:1437", + "right": "pull_request:798", + "accept": false, + "reason": "A pipeline comment typo vs a UNet docstring typo; unrelated." + }, + { + "left": "pull_request:1467", + "right": "pull_request:3066", + "accept": false, + "reason": "Different test flakiness fixes in different modules." + }, + { + "left": "pull_request:1490", + "right": "pull_request:641", + "accept": false, + "reason": "Release/deprecation cleanup vs a dependency pin test PR; unrelated." + }, + { + "left": "pull_request:1496", + "right": "pull_request:154", + "accept": false, + "reason": "Documentation for Habana Gaudi is unrelated to the original stable-diffusion conversion script." + }, + { + "left": "pull_request:1496", + "right": "pull_request:1605", + "accept": false, + "reason": "Docs-only Habana addition vs a code change adding upcast_attention to versatile diffusion." + }, + { + "left": "pull_request:15", + "right": "pull_request:395", + "accept": false, + "reason": "README link fix vs a resnet variable rename; unrelated." + }, + { + "left": "pull_request:1510", + "right": "pull_request:1989", + "accept": false, + "reason": "Both touch the conversion script, but one adds schedulers/docs while the other adds safetensors loading; separate features, not one fix." + }, + { + "left": "pull_request:1558", + "right": "pull_request:948", + "accept": false, + "reason": "Different typo fixes in different pipeline files." + }, + { + "left": "pull_request:1576", + "right": "pull_request:3068", + "accept": false, + "reason": "ORT integration examples vs textual inversion docs/loaders; different feature areas." + }, + { + "left": "pull_request:1576", + "right": "pull_request:3166", + "accept": false, + "reason": "ORT integration work is unrelated to a textual inversion documentation/example tweak." + }, + { + "left": "pull_request:1576", + "right": "pull_request:3554", + "accept": false, + "reason": "Different repositories/examples and different goals; not the same code change." + }, + { + "left": "pull_request:1576", + "right": "pull_request:3555", + "accept": false, + "reason": "Same as above: unrelated example integrations." + }, + { + "left": "pull_request:1627", + "right": "pull_request:316", + "accept": false, + "reason": "xformers API support vs README content; unrelated." + }, + { + "left": "pull_request:1640", + "right": "pull_request:3417", + "accept": false, + "reason": "Auto-enabling xformers in training scripts is unrelated to an unCLIP scheduler note." + }, + { + "left": "pull_request:1727", + "right": "pull_request:3241", + "accept": false, + "reason": "ONNX img2img preprocessing fix vs an UnCLIP test tolerance tweak." + }, + { + "left": "pull_request:178", + "right": "pull_request:2278", + "accept": false, + "reason": "Stable Diffusion pipeline tests vs a large Video Stable Diffusion feature branch; not the same underlying change." + }, + { + "left": "pull_request:178", + "right": "pull_request:309", + "accept": false, + "reason": "Model tests vs a README link fix." + }, + { + "left": "pull_request:178", + "right": "pull_request:72", + "accept": false, + "reason": "Stable Diffusion pipeline tests vs 1D up/downsample block tests; 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": 265, + "review_unit_index": 95, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1838", + "pull_request:1885", + "pull_request:190", + "pull_request:1932", + "pull_request:1965", + "pull_request:1995", + "pull_request:2006", + "pull_request:2009", + "pull_request:2077", + "pull_request:2078", + "pull_request:2085", + "pull_request:2086", + "pull_request:2103", + "pull_request:2134", + "pull_request:2138", + "pull_request:2139", + "pull_request:2144", + "pull_request:2151", + "pull_request:2154", + "pull_request:2175", + "pull_request:2181", + "pull_request:2208", + "pull_request:2216", + "pull_request:2539", + "pull_request:2540", + "pull_request:260", + "pull_request:2760", + "pull_request:3030", + "pull_request:3187", + "pull_request:3285", + "pull_request:3388", + "pull_request:3458", + "pull_request:3460", + "pull_request:3470", + "pull_request:353", + "pull_request:3587", + "pull_request:3839", + "pull_request:4022", + "pull_request:407", + "pull_request:421", + "pull_request:4320", + "pull_request:688", + "pull_request:798", + "pull_request:869", + "pull_request:888", + "pull_request:925", + "pull_request:948", + "pull_request:972" + ], + "soft_pairs": [ + "pull_request:1838|pull_request:2009", + "pull_request:1885|pull_request:260", + "pull_request:1885|pull_request:353", + "pull_request:1885|pull_request:407", + "pull_request:1885|pull_request:798", + "pull_request:1885|pull_request:972", + "pull_request:190|pull_request:688", + "pull_request:1932|pull_request:3285", + "pull_request:1965|pull_request:2006", + "pull_request:1995|pull_request:2539", + "pull_request:1995|pull_request:260", + "pull_request:1995|pull_request:353", + "pull_request:2006|pull_request:869", + "pull_request:2006|pull_request:925", + "pull_request:2009|pull_request:3587", + "pull_request:2077|pull_request:2760", + "pull_request:2078|pull_request:2139", + "pull_request:2085|pull_request:3470", + "pull_request:2086|pull_request:3458", + "pull_request:2086|pull_request:3460", + "pull_request:2103|pull_request:3187", + "pull_request:2103|pull_request:3458", + "pull_request:2103|pull_request:3460", + "pull_request:2134|pull_request:948", + "pull_request:2138|pull_request:3839", + "pull_request:2144|pull_request:3030", + "pull_request:2151|pull_request:4320", + "pull_request:2154|pull_request:260", + "pull_request:2154|pull_request:353", + "pull_request:2154|pull_request:407", + "pull_request:2154|pull_request:798", + "pull_request:2175|pull_request:3388", + "pull_request:2181|pull_request:2540", + "pull_request:2181|pull_request:421", + "pull_request:2208|pull_request:4022", + "pull_request:2216|pull_request:888" + ], + "prepared_review_unit_hash": "a9a437b248edabc8d6afa74cf8a1ae9455d68293afa4f0b37e77b368e260ca01", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 36, + "serialized_chars": 96303, + "estimated_input_tokens": 24076, + "estimated_eval_tokens": 48408 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs across docs, typos, examples, and separate pipeline features. 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not the same change." + }, + { + "left": "pull_request:2530", + "right": "pull_request:3755", + "accept": false, + "reason": "Both touch tests, but one adds EMA tests while the other relaxes a tolerance in an unrelated UNet 3D test." + }, + { + "left": "pull_request:2533", + "right": "pull_request:4740", + "accept": false, + "reason": "Both pin safetensors versions, but one is a WIP CI sanity check and the other updates package metadata for a different version." + }, + { + "left": "pull_request:2557", + "right": "pull_request:4112", + "accept": false, + "reason": "Both edit dreambooth training code, but one adds intermediate logging while the other adds LoRA rank handling." + }, + { + "left": "pull_request:2563", + "right": "pull_request:703", + "accept": false, + "reason": "Both mention tests/CI, but one removes a cuda cache call in EMA and the other is a failed CI experiment." + }, + { + "left": "pull_request:2587", + "right": "pull_request:3388", + "accept": false, + "reason": "Different scopes: translated docs addition vs installation docs adding transformers." + }, + { + "left": "pull_request:2590", + "right": "pull_request:483", + "accept": false, + "reason": "CI workflow change vs broad typo-fix sweep across docs/code; 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these are not the same fix." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7916", + "accept": false, + "reason": "Dreambooth LoRA variant support and Ascend NPU support for SDXL training are distinct feature additions." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6847", + "accept": false, + "reason": "IP-Adapter API docs and IP-Adapter attention masking are related but not the same underlying change; one is documentation only." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6941", + "accept": false, + "reason": "A docs page for IP-Adapter loaders is not the same code-path change as adding IP-Adapter support to ControlNet inpaint." + }, + { + "left": "pull_request:62", + "right": "pull_request:848", + "accept": false, + "reason": "These fix different pipelines in different frameworks: latent diffusion uncond decode behavior vs Flax width/height latent shape handling." + }, + { + "left": "pull_request:6205", + "right": "pull_request:6314", + "accept": false, + "reason": "They are separate documentation link fixes in the same training guide, but they address different URLs and text." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 101, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:6209", + "pull_request:6244", + "pull_request:626", + "pull_request:6276", + "pull_request:6293", + "pull_request:6339", + "pull_request:6669", + "pull_request:6754", + "pull_request:6762", + "pull_request:6765", + "pull_request:6766", + "pull_request:6767", + "pull_request:6768", + "pull_request:6796", + "pull_request:6808", + "pull_request:6837", + "pull_request:6847", + "pull_request:6871", + "pull_request:6941", + "pull_request:6962", + "pull_request:7015", + "pull_request:7120", + "pull_request:715", + "pull_request:7206", + "pull_request:7226", + "pull_request:7259", + "pull_request:7272", + "pull_request:7302", + "pull_request:7319", + "pull_request:7360", + "pull_request:7384", + "pull_request:7425", + "pull_request:7564", + "pull_request:7746", + "pull_request:7747", + "pull_request:7779", + "pull_request:7780", + "pull_request:8422", + "pull_request:8427", + "pull_request:8491", + "pull_request:8630", + "pull_request:8675", + "pull_request:8737", + "pull_request:8775", + "pull_request:8851", + "pull_request:8882", + "pull_request:8896", + "pull_request:9015" + ], + "soft_pairs": [ + "pull_request:6209|pull_request:7746", + "pull_request:6244|pull_request:6847", + "pull_request:6244|pull_request:6941", + "pull_request:626|pull_request:715", + "pull_request:6276|pull_request:8427", + "pull_request:6293|pull_request:6847", + "pull_request:6293|pull_request:6941", + "pull_request:6339|pull_request:7779", + "pull_request:6669|pull_request:8775", + "pull_request:6754|pull_request:8882", + "pull_request:6754|pull_request:8896", + "pull_request:6762|pull_request:8422", + "pull_request:6765|pull_request:8882", + "pull_request:6765|pull_request:8896", + "pull_request:6766|pull_request:8882", + "pull_request:6766|pull_request:8896", + "pull_request:6767|pull_request:8882", + "pull_request:6767|pull_request:8896", + "pull_request:6768|pull_request:8882", + "pull_request:6768|pull_request:8896", + "pull_request:6796|pull_request:8491", + "pull_request:6808|pull_request:7746", + "pull_request:6837|pull_request:8675", + "pull_request:6871|pull_request:7747", + "pull_request:6962|pull_request:7564", + "pull_request:7015|pull_request:9015", + "pull_request:7120|pull_request:7319", + "pull_request:7206|pull_request:8630", + "pull_request:7226|pull_request:7780", + "pull_request:7259|pull_request:7360", + "pull_request:7272|pull_request:7302", + "pull_request:7384|pull_request:8851", + "pull_request:7425|pull_request:8737" + ], + "prepared_review_unit_hash": "7c82c143d281838ddd372d31bba18caa58a69968cc1e322f2e8ec7e04e7afa96", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 98336, + "estimated_input_tokens": 24584, + "estimated_eval_tokens": 49424 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab-bag of unrelated docs, tests, and small maintenance PRs. I found no true duplicate pair; the only overlaps are broad subsystem/topic matches (e.g. IP-Adapter, VAE, EDM) that do not look mergeable into one concrete change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the items span unrelated changes, and the closest topical overlaps are still different features, docs, or tests rather than the same underlying fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 6847 is the strongest standalone change in the set: it is a substantial, well-scoped feature addition with an explicit target and multiple code/test/doc updates, so it is the best representative PR if one must be chosen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6209", + "right": "pull_request:7746", + "accept": false, + "reason": "Unrelated README example fix vs a VAE consistency-decoder test fix; different code paths and purposes." + }, + { + "left": "pull_request:6244", + "right": "pull_request:6847", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a refactor and the other adds attention masking; not the same concrete change." + }, + { + "left": "pull_request:6244", + "right": "pull_request:6941", + "accept": false, + "reason": "Shared IP-Adapter theme only; gligen/ip-adapter refactor is not the same as SDXL ControlNet inpaint IP-Adapter support." + }, + { + "left": "pull_request:626", + "right": "pull_request:715", + "accept": false, + "reason": "Different bug classes: ONNX typing fix vs guarding utils imports when PyTorch is absent." + }, + { + "left": "pull_request:6276", + "right": "pull_request:8427", + "accept": false, + "reason": "Community pipeline README/code vs a workflow debug print; no shared underlying bug or feature." + }, + { + "left": "pull_request:6293", + "right": "pull_request:6847", + "accept": false, + "reason": "One adds IP-Adapter support to a ControlNet pipeline, the other adds masking behavior; related area but distinct changes." + }, + { + "left": "pull_request:6293", + "right": "pull_request:6941", + "accept": false, + "reason": "Both add IP-Adapter support, but to different SDXL ControlNet pipelines and with different integration work." + }, + { + "left": "pull_request:6339", + "right": "pull_request:7779", + "accept": false, + "reason": "Animatediff docs vs AutoPipeline docstring cleanup; unrelated docs changes." + }, + { + "left": "pull_request:6669", + "right": "pull_request:8775", + "accept": false, + "reason": "README statistics update vs a Colab link correction; unrelated documentation fixes." + }, + { + "left": "pull_request:6754", + "right": "pull_request:8882", + "accept": false, + "reason": "Diffusion DPO loss fix and an IP-Adapter docstring typo are unrelated." + }, + { + "left": "pull_request:6754", + "right": "pull_request:8896", + "accept": false, + "reason": "Diffusion DPO training math vs single-file config helper plumbing; different code paths." + }, + { + "left": "pull_request:6762", + "right": "pull_request:8422", + "accept": false, + "reason": "A flaky Kandinsky test adjustment is not the same as adding subfolder-loading test coverage." + }, + { + "left": "pull_request:6765", + "right": "pull_request:8882", + "accept": false, + "reason": "Cache-path handling in hub utils is unrelated to an IP-Adapter docstring correction." + }, + { + "left": "pull_request:6765", + "right": "pull_request:8896", + "accept": false, + "reason": "Different maintenance fixes in different utilities; not the same bug/change." + }, + { + "left": "pull_request:6766", + "right": "pull_request:8882", + "accept": false, + "reason": "Constants path handling vs a loader docstring typo; unrelated." + }, + { + "left": "pull_request:6766", + "right": "pull_request:8896", + "accept": false, + "reason": "Different files and behaviors; one fixes constants path logic, the other single-file utility plumbing." + }, + { + "left": "pull_request:6767", + "right": "pull_request:8882", + "accept": false, + "reason": "Flax model path handling vs an IP-Adapter loader wording fix; unrelated." + }, + { + "left": "pull_request:6767", + "right": "pull_request:8896", + "accept": false, + "reason": "Flax pretrained-path logic is not the same issue as single-file utility argument forwarding." + }, + { + "left": "pull_request:6768", + "right": "pull_request:8882", + "accept": false, + "reason": "Configuration save/load path handling vs an IP-Adapter docstring typo; different changes." + }, + { + "left": "pull_request:6768", + "right": "pull_request:8896", + "accept": false, + "reason": "Configuration utility path fixes and single-file utility fixes are separate maintenance work." + }, + { + "left": "pull_request:6796", + "right": "pull_request:8491", + "accept": false, + "reason": "Torchvision import guard vs a model import-path correction; unrelated fixes." + }, + { + "left": "pull_request:6808", + "right": "pull_request:7746", + "accept": false, + "reason": "MPS test-collection helper fix vs a VAE decode test dtype fix; different problems." + }, + { + "left": "pull_request:6837", + "right": "pull_request:8675", + "accept": false, + "reason": "I2VGen docs import ordering vs a fast-diffusion note; unrelated documentation updates." + }, + { + "left": "pull_request:6847", + "right": "pull_request:8422", + "accept": false, + "reason": "IP-Adapter masking feature work vs subfolder-loading test coverage; not the same underlying change." + }, + { + "left": "pull_request:6871", + "right": "pull_request:7747", + "accept": false, + "reason": "VAE slicing/tiling feature additions in pipelines vs a common VAE tiling test assertion fix; related topic but different changes." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7564", + "accept": false, + "reason": "SDXL ControlNet inpaint IP-Adapter support vs broad test fixes; no duplicate code-path." + }, + { + "left": "pull_request:6962", + "right": "pull_request:7564", + "accept": false, + "reason": "PixArt slow test stabilization vs generic test cleanup; not the same fix." + }, + { + "left": "pull_request:7015", + "right": "pull_request:9015", + "accept": false, + "reason": "SDXL single-file doc example fixes vs PIA example doc fixes; unrelated examples." + }, + { + "left": "pull_request:7120", + "right": "pull_request:7319", + "accept": false, + "reason": "Scheduler implementation PR vs docs-only scheduler entries; same theme but not the same change." + }, + { + "left": "pull_request:7206", + "right": "pull_request:8630", + "accept": false, + "reason": "Training-script tags update vs SD3 DreamBooth LoRA text-encoder training; unrelated training changes." + }, + { + "left": "pull_request:7226", + "right": "pull_request:7780", + "accept": false, + "reason": "IP-Adapter API docs addition vs masking/face-id docs update; same broad area, different content and purpose." + }, + { + "left": "pull_request:7259", + "right": "pull_request:7360", + "accept": false, + "reason": "TCD intro docs vs TCD scheduler docstring cleanup; both about TCD, but not the same concrete patch." + }, + { + "left": "pull_request:7272", + "right": "pull_request:7302", + "accept": false, + "reason": "Custom-diffusion/PEFT loader issue vs a training gradient-setting bug; separate problems." + }, + { + "left": "pull_request:7384", + "right": "pull_request:8851", + "accept": false, + "reason": "AnimateDiff FreeInit docs vs AuraFlow docs; unrelated documentation additions." + }, + { + "left": "pull_request:7425", + "right": "pull_request:8737", + "accept": false, + "reason": "PEFT inference docs fix vs a large dependency/workflow PR; no shared underlying change." + }, + { + "left": "pull_request:7564", + "right": "pull_request:9015", + "accept": false, + "reason": "General test fixes in animatediff/pipelines vs a PIA docs example update; unrelated." + }, + { + "left": "pull_request:7746", + "right": "pull_request:7747", + "accept": false, + "reason": "Both are VAE-related tests, but one targets consistency decoding and the other VAE tiling; distinct failures." + }, + { + "left": "pull_request:7779", + "right": "pull_request:8422", + "accept": false, + "reason": "AutoPipeline docstring cleanup vs subfolder-loading tests; unrelated." + }, + { + "left": "pull_request:7780", + "right": "pull_request:7226", + "accept": false, + "reason": "Update to IP-Adapter masking/face-id example docs vs API docs for image embedding; overlapping topic but not the same 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": 1, + "component_count": 265, + "review_unit_index": 102, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:12006", + "pull_request:12086", + "pull_request:12387", + "pull_request:12909", + "pull_request:6868", + "pull_request:6946", + "pull_request:7189", + "pull_request:7425", + "pull_request:7464", + "pull_request:7530", + "pull_request:7627", + "pull_request:7719", + "pull_request:7746", + "pull_request:7827", + "pull_request:7918", + "pull_request:798", + "pull_request:8427", + "pull_request:8470", + "pull_request:8479", + "pull_request:8481", + "pull_request:8497", + "pull_request:8498", + "pull_request:8720", + "pull_request:8836", + "pull_request:8838", + "pull_request:8845", + "pull_request:8946", + "pull_request:8951", + "pull_request:8984", + "pull_request:9008", + "pull_request:9066", + "pull_request:9073", + "pull_request:9077", + "pull_request:9100", + "pull_request:9107", + "pull_request:9152", + "pull_request:9196", + "pull_request:9266", + "pull_request:9408", + "pull_request:948", + "pull_request:9553", + "pull_request:9571", + "pull_request:9627", + "pull_request:9658", + "pull_request:9683", + "pull_request:972", + "pull_request:9739", + "pull_request:9765" + ], + "soft_pairs": [ + "pull_request:7425|pull_request:9066", + "pull_request:7464|pull_request:8498", + "pull_request:7530|pull_request:8946", + "pull_request:7627|pull_request:8720", + "pull_request:7719|pull_request:7918", + "pull_request:7746|pull_request:9627", + "pull_request:7746|pull_request:9683", + "pull_request:7827|pull_request:9765", + "pull_request:798|pull_request:948", + "pull_request:8427|pull_request:9765", + "pull_request:8470|pull_request:9553", + "pull_request:8479|pull_request:9408", + "pull_request:8481|pull_request:8836", + "pull_request:8497|pull_request:9107", + "pull_request:8838|pull_request:9196", + "pull_request:8845|pull_request:9100", + "pull_request:8845|pull_request:9683", + "pull_request:8951|pull_request:9765", + "pull_request:8984|pull_request:9765", + "pull_request:9008|pull_request:9077", + "pull_request:9008|pull_request:9739", + "pull_request:9152|pull_request:9266", + "pull_request:9408|pull_request:9571", + "pull_request:9408|pull_request:9658", + "pull_request:948|pull_request:972", + "pull_request:12086|pull_request:12387", + "pull_request:12006|pull_request:12909", + "pull_request:6946|pull_request:9073", + "pull_request:6868|pull_request:7189" + ], + "prepared_review_unit_hash": "023b5f53d48f038a371376c830d2ae572eee676edc17e4323899bd99044ff9ea", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 99206, + "estimated_input_tokens": 24802, + "estimated_eval_tokens": 49860 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab-bag of unrelated small fixes, docs edits, and feature PRs; no soft pair looks like a true duplicate/same change. I\u2019d treat the Flux ControlNet feature PR as the best representative of the set.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9408 is the strongest representative: it is a substantial, self-contained feature with explicit issue linkage, coherent scope, and tests/docs across the Flux ControlNet stack.", + "best_issue_reason": null, + "best_pr_reason": "PR 9408 is the best global representative because it has the clearest end-to-end change set and broader impact than the many typo/docs/test-only PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7425", + "right": "pull_request:9066", + "accept": false, + "reason": "Both are docs tweaks, but they fix different content in different places; not the same underlying change." + }, + { + "left": "pull_request:7464", + "right": "pull_request:8498", + "accept": false, + "reason": "One fixes an example import path, the other a docstring typo; unrelated changes." + }, + { + "left": "pull_request:7530", + "right": "pull_request:8946", + "accept": false, + "reason": "Autocast behavior in training scripts versus a cached-download test expectation; different bugs." + }, + { + "left": "pull_request:7627", + "right": "pull_request:8720", + "accept": false, + "reason": "Playground img2img latents handling versus slow-test precision updates; not the same issue." + }, + { + "left": "pull_request:7719", + "right": "pull_request:7918", + "accept": false, + "reason": "CI secret wiring and a Flax attention reshape fix are unrelated." + }, + { + "left": "pull_request:7746", + "right": "pull_request:9627", + "accept": false, + "reason": "A VAE dtype test fix versus a LoRA warning test change; different test failures." + }, + { + "left": "pull_request:7746", + "right": "pull_request:9683", + "accept": false, + "reason": "Consistency decoder test dtype versus CogVideoX test renaming/unskip; unrelated." + }, + { + "left": "pull_request:7827", + "right": "pull_request:9765", + "accept": false, + "reason": "Docstring CPU-offload example fix versus SD3 pipeline docstring wording; different edits." + }, + { + "left": "pull_request:798", + "right": "pull_request:948", + "accept": false, + "reason": "Two separate docstring typo fixes in different modules." + }, + { + "left": "pull_request:8427", + "right": "pull_request:9765", + "accept": false, + "reason": "Workflow debug logging versus SD3 docs wording; unrelated." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9553", + "accept": false, + "reason": "A README rewrite/update versus a distributed inference docs tip; different documentation changes." + }, + { + "left": "pull_request:8479", + "right": "pull_request:9408", + "accept": false, + "reason": "Different features in different controlnet/model areas; sharing __init__.py exports is too broad to merge as duplicates." + }, + { + "left": "pull_request:8481", + "right": "pull_request:8836", + "accept": false, + "reason": "Error-message clarity in image preprocessing versus a sliced-attention loop bug; not the same underlying bug." + }, + { + "left": "pull_request:8497", + "right": "pull_request:9107", + "accept": false, + "reason": "A spelling fix in a scheduler docstring versus a SD3 loading-hook bug; unrelated." + }, + { + "left": "pull_request:8838", + "right": "pull_request:9196", + "accept": false, + "reason": "SD3 forward chunking support and PixArt attention-processor defaults are separate feature additions." + }, + { + "left": "pull_request:8845", + "right": "pull_request:9100", + "accept": false, + "reason": "Typos in PAG tests versus a typo in a training script arg help string; different files and issues." + }, + { + "left": "pull_request:8845", + "right": "pull_request:9683", + "accept": false, + "reason": "PAG test typo fix versus CogVideoX test rename/unskip; unrelated." + }, + { + "left": "pull_request:8951", + "right": "pull_request:9765", + "accept": false, + "reason": "SD3 LoRA text-encoder deletion logic versus SD3 pipeline docstring text; different code paths." + }, + { + "left": "pull_request:8984", + "right": "pull_request:9765", + "accept": false, + "reason": "ONNX conversion/pipeline support versus a docstring typo fix; not the same change." + }, + { + "left": "pull_request:9008", + "right": "pull_request:9077", + "accept": false, + "reason": "Broad typo/errata cleanup versus a separate typo sweep across unrelated files; too different to dedupe." + }, + { + "left": "pull_request:9008", + "right": "pull_request:9739", + "accept": false, + "reason": "General errata across many files versus SD3 single-file docs/utils updates; not the same artifact." + }, + { + "left": "pull_request:9152", + "right": "pull_request:9266", + "accept": false, + "reason": "Distributed inference docs content versus community projects listing; unrelated." + }, + { + "left": "pull_request:9408", + "right": "pull_request:9571", + "accept": false, + "reason": "Both are Flux ControlNet-related, but one adds pipelines while the other adds guidance window parameters; different concrete changes." + }, + { + "left": "pull_request:9408", + "right": "pull_request:9658", + "accept": false, + "reason": "Flux ControlNet pipelines versus a community example for distilled Flux ControlNet; not the same underlying code change." + }, + { + "left": "pull_request:948", + "right": "pull_request:972", + "accept": false, + "reason": "Two separate typo fixes in unrelated files." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12387", + "accept": false, + "reason": "Flux modular I2I support versus flash-attention backend support; different subsystems and changes." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12909", + "accept": false, + "reason": "Wan 5B I2V feature work versus a context-parallel bug fix in Wan attention; not the same change." + }, + { + "left": "pull_request:6946", + "right": "pull_request:9073", + "accept": false, + "reason": "IP-Adapter loading performance option versus single-file SparseCtrl loading; unrelated loader work." + }, + { + "left": "pull_request:6868", + "right": "pull_request:7189", + "accept": false, + "reason": "They both touch IP-Adapter image embeds, but one introduces the API and the other fixes plus-version embed handling; not the same concrete bug and 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": 265, + "review_unit_index": 103, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 cluster is mostly heterogeneous: quantization, LoRA, checkpointing, ControlNet, QwenImage, Wan, and docs/test changes are separate. Only the LoRA Conv2d torch.compile fixes (4315/5298) look like the same underlying bug; the rest should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the whole cluster: it mixes unrelated features and fixes; only PRs 4315 and 5298 form a true duplicate-like subcluster.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for the cluster as a whole; if a representative is needed for the only genuine duplicate subcluster, PR 5298 is the broader LoRA-conv torch.compile follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9213", + "right": "pull_request:9964", + "accept": false, + "reason": "Same broad quantization area, but different backends and changes: bitsandbytes support vs GGUF support. Not the same underlying PR." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13280", + "accept": false, + "reason": "Completely different changes: QwenImage Edit Plus modular pipeline support vs FlashAttention-4 support." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12324", + "accept": false, + "reason": "Both involve Wan, but one adds second-transformer LoRA loading and the other adds Wan2.2 VACE conversion/support. Different code paths and deliverables." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3652", + "accept": false, + "reason": "Both touch checkpointing, but one adds a checkpoint limit option while the other refactors checkpoint naming. Different behavior and scope." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9061", + "accept": false, + "reason": "Distinct bugs: DreamBooth VAE loading vs sharded checkpoint loading with variants." + }, + { + "left": "pull_request:2467", + "right": "pull_request:823", + "accept": false, + "reason": "Both are pipeline-related API fixes, but one adds latent output type support and the other fixes negative-prompt type handling. Not the same bug." + }, + { + "left": "pull_request:3299", + "right": "pull_request:4761", + "accept": false, + "reason": "Unrelated: LoRA docs/example sync vs PaintByExample image encoder config fix." + }, + { + "left": "pull_request:4315", + "right": "pull_request:5298", + "accept": true, + "reason": "Same LoRAConv2d torch.compile graph-break bug in the same file/class; each patch fixes a different branch of the same code path and could plausibly be merged together." + }, + { + "left": "pull_request:4508", + "right": "pull_request:5948", + "accept": false, + "reason": "Both touch pipeline_utils, but one fixes use_onnx forwarding and the other adjusts variant warning logic. Different issues." + }, + { + "left": "pull_request:4795", + "right": "pull_request:4862", + "accept": false, + "reason": "Both are ControlNet-related, but one fixes torch.compile behavior in ControlNet and the other fixes MultiControlNet image sizing in SDXL img2img. Different problems." + }, + { + "left": "pull_request:5738", + "right": "pull_request:5958", + "accept": false, + "reason": "Same LoRA subsystem, but one adds delete-adapter support while the other adds load_lora support/refactor. Not the same concrete change." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7786", + "accept": false, + "reason": "Same Stable Video Diffusion area, but one fixes VAE torch.compile inspection and the other fixes num_videos_per_prompt latent duplication. Different bugs." + }, + { + "left": "pull_request:823", + "right": "pull_request:826", + "accept": false, + "reason": "Different training/runtime bugs: prompt type mismatch in pipelines vs fp16 DreamBooth loss typing." + }, + { + "left": "pull_request:4899", + "right": "pull_request:5127", + "accept": false, + "reason": "Both are broad core changes, but one is ControlNet LoRA support and the other is multi-adapter support for SDXL AdapterPipeline. Not duplicates." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10544", + "accept": false, + "reason": "Docs-only changes in the LoRA/optimization area, but they document different topics: loader mixins vs ParaAttention optimization." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11595", + "accept": false, + "reason": "Tests around LoRA/Flux vs a LoRA loading fix for Flux. Related subsystem, but not the same underlying change." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12451", + "accept": false, + "reason": "Only a documentation naming update for Intel Gaudi vs a doc-builder Dockerfile dependency update. Unrelated." + }, + { + "left": "pull_request:11843", + "right": "pull_request:12541", + "accept": false, + "reason": "Both Wan LoRA-related, but one is test coverage for exclude_modules and the other is a conversion fix for latest few-step Wan LoRA. Different code paths." + }, + { + "left": "pull_request:12681", + "right": "pull_request:13042", + "accept": false, + "reason": "Different CI/test fixes: one adjusts CPU pipeline tests, the other fixes QwenImage prompt isolation tests." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13211", + "accept": false, + "reason": "Unrelated test/bug fixes in different areas: HunyuanVideo offloading tests vs group-offloading logic." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3080", + "accept": false, + "reason": "Both are examples/training or pipeline utility changes, but one is validation in multi-GPU LoRA training and the other is pipeline save-pretrained behavior. Not duplicates." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3339", + "accept": false, + "reason": "Different topics: removing xformers training code from a LoRA example vs pinning urllib3 in setup.py." + }, + { + "left": "pull_request:2983", + "right": "pull_request:3847", + "accept": false, + "reason": "Docs/install guidance vs dependency-check workflow and soft-dependency tests. Different change sets." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4886", + "accept": false, + "reason": "Different safety/image-processing fixes in different pipelines; not the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The rejected soft pairs are well-justified as different features or fixes, and the single accepted pair (4315/5298) is plausibly the same LoRA-conv torch.compile issue in the same file. No 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": 265, + "review_unit_index": 104, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "None of the soft-edge pairs look like true duplicates; they mostly share a broad subsystem or test/docs theme but target different concrete bugs or features. The strongest standalone PR in the set is the Flux IP-Adapter support change, which is broad, merged, and explicitly tied to issues.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10261 (Support Flux IP Adapter) is the most substantial and central change here: it introduces the core feature, touches the main codepaths, is merged, and has explicit issue links.", + "best_issue_reason": null, + "best_pr_reason": "PR #10261 is the best overall representative of the cluster because it is the broadest, most complete feature PR; the others are narrower follow-ups or unrelated fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6346", + "right": "pull_request:7096", + "accept": false, + "reason": "Both are example/training-related, but one is an LCM LoRA follow-up and the other is ControlNet training script enhancements; different codepaths and goals." + }, + { + "left": "pull_request:6864", + "right": "pull_request:7328", + "accept": false, + "reason": "One adds a torch.compile note to docs, the other changes a PyPI publish workflow; unrelated artifacts and changes." + }, + { + "left": "pull_request:7103", + "right": "pull_request:7156", + "accept": false, + "reason": "ControlNet input validation bugfix vs stale-bot label normalization; completely different subsystems." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7458", + "accept": false, + "reason": "One fixes VAE tiling test device handling, the other skips dynamo tests on Python 3.12; not the same underlying issue." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are tests-only changes, but one fixes LoRA expected values while the other adjusts sharding test seeding/inputs; different failures." + }, + { + "left": "pull_request:5477", + "right": "pull_request:5559", + "accept": false, + "reason": "One adds a community pipeline script, the other adds a core Img2Img pipeline; related topic, but not the same concrete change." + }, + { + "left": "pull_request:5010", + "right": "pull_request:6787", + "accept": false, + "reason": "Gligen text-image export fix and Marigold input-range fix are unrelated changes." + }, + { + "left": "pull_request:6355", + "right": "pull_request:7613", + "accept": false, + "reason": "Both touch advanced training/model-card code, but they address different scripts and different fixes." + }, + { + "left": "pull_request:6828", + "right": "pull_request:7820", + "accept": false, + "reason": "Both involve IP-Adapter support, but one fixes UNetMotionModel internals and the other adds InstructPix2Pix integration; not mergeable as one PR." + }, + { + "left": "pull_request:4083", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL low-precision VAE support and SDXL inpainting are distinct features, even if they share some model files." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9542", + "accept": false, + "reason": "Union ControlNet support for Flux and Kohya Flux LoRA conversion are separate feature additions." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12041", + "accept": false, + "reason": "Wan2.2 pipeline follow-up vs VAE patchify fix; different codepaths and bugs." + }, + { + "left": "pull_request:7016", + "right": "pull_request:8901", + "accept": false, + "reason": "Both are IP-Adapter-related, but one refactors generic embed preparation while the other adds Kolors support; not the same change." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10717", + "accept": false, + "reason": "#10717 is a follow-up to extend Flux IP-Adapter support to Img2Img pipelines, not a duplicate of the base feature PR." + }, + { + "left": "pull_request:10366", + "right": "pull_request:11756", + "accept": false, + "reason": "Different Sana test fixes with different modifications; same area, different underlying issues." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11124", + "accept": false, + "reason": "Hunyuan DiT test-module rename vs CogView4 test-tokenizer fix are unrelated CI/test changes." + }, + { + "left": "pull_request:1269", + "right": "pull_request:192", + "accept": false, + "reason": "Stable Diffusion refactor finalization vs README parameter update; different scope and purpose." + }, + { + "left": "pull_request:1527", + "right": "pull_request:192", + "accept": false, + "reason": "Inpaint tensor-input support vs README example tweak; not the same bug/change." + }, + { + "left": "pull_request:2915", + "right": "pull_request:5093", + "accept": false, + "reason": "Text inversion test tolerance change and moving slow tests to nightly are separate testing maintenance changes." + }, + { + "left": "pull_request:3316", + "right": "pull_request:3707", + "accept": false, + "reason": "Both touch documentation workflows, but one fixes patch-release doc builds and the other changes secrets/delete-comment plumbing." + }, + { + "left": "pull_request:3850", + "right": "pull_request:4845", + "accept": false, + "reason": "Audio diffusion test fix vs Stable Diffusion inpaint dummy-input handling; 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Not the same artifact or bug." + }, + { + "left": "pull_request:3766", + "right": "pull_request:4301", + "accept": false, + "reason": "Kandinsky UNet conversion script updates and Kandinsky docs fixes are different deliverables." + }, + { + "left": "pull_request:4397", + "right": "pull_request:4862", + "accept": false, + "reason": "One fixes an SDXL docstring default, the other fixes MultiControlNet img2img height/width handling. 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": 1, + "component_count": 265, + "review_unit_index": 109, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10312", + "pull_request:10359", + "pull_request:10376", + "pull_request:10589", + "pull_request:10911", + "pull_request:11113", + "pull_request:11655", + "pull_request:11786", + "pull_request:11892", + "pull_request:12378", + "pull_request:12551", + "pull_request:12618", + "pull_request:13099", + "pull_request:13296", + "pull_request:1945", + "pull_request:2393", + "pull_request:3268", + "pull_request:3337", + "pull_request:3462", + "pull_request:3716", + "pull_request:3766", + "pull_request:4132", + "pull_request:4262", + "pull_request:4461", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:4666", + "pull_request:4761", + "pull_request:5038", + "pull_request:5506", + "pull_request:5898", + "pull_request:6215", + "pull_request:6231", + "pull_request:6578", + "pull_request:7058", + "pull_request:7166", + "pull_request:7932", + "pull_request:823", + "pull_request:8679", + "pull_request:8992", + "pull_request:9257", + "pull_request:9268", + "pull_request:9423", + "pull_request:9473", + "pull_request:9536", + "pull_request:9881" + ], + "soft_pairs": [ + "pull_request:4499|pull_request:4666", + "pull_request:4500|pull_request:4666", + "pull_request:4501|pull_request:4666", + "pull_request:4502|pull_request:4666", + "pull_request:4761|pull_request:6215", + "pull_request:5898|pull_request:6578", + "pull_request:6231|pull_request:7166", + "pull_request:7932|pull_request:9536", + "pull_request:10376|pull_request:11655", + "pull_request:10359|pull_request:10911", + "pull_request:10589|pull_request:9881", + "pull_request:11786|pull_request:12618", + "pull_request:3268|pull_request:3337", + "pull_request:4132|pull_request:5038", + "pull_request:5506|pull_request:7058", + "pull_request:8679|pull_request:9423", + "pull_request:2393|pull_request:3716", + "pull_request:8992|pull_request:9268", + "pull_request:10312|pull_request:9257", + "pull_request:11113|pull_request:9473", + "pull_request:11892|pull_request:12551", + "pull_request:12378|pull_request:13099", + "pull_request:12551|pull_request:13296", + "pull_request:1945|pull_request:823", + "pull_request:3462|pull_request:4262", + "pull_request:3766|pull_request:4461" + ], + "prepared_review_unit_hash": "abc013f25c040fe67e27ada3610423f7ed1a9f610f0a78995d568f01ebd4944b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101581, + "estimated_input_tokens": 25396, + "estimated_eval_tokens": 51048 + }, + "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/subsystem similarity. 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"pull_request:5038", + "accept": false, + "reason": "Optional accelerate support in conversion code is unrelated to making LoRA optional arguments explicit." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7058", + "accept": false, + "reason": "Different LoRA issues: xformers attention processor scale handling vs copying state dict inputs before mutation." + }, + { + "left": "pull_request:8679", + "right": "pull_request:9423", + "accept": false, + "reason": "Both are differential diffusion community pipelines, but for different models and implementations (SD3 vs Kolors)." + }, + { + "left": "pull_request:2393", + "right": "pull_request:3716", + "accept": false, + "reason": "Two separate new pipelines (Panorama vs ParaDiGMS) with different algorithms and targets." + }, + { + "left": "pull_request:8992", + "right": "pull_request:9268", + "accept": false, + "reason": "Different community pipelines for differential diffusion; same technique, but distinct model-specific implementations." + }, + { + "left": "pull_request:10312", + "right": "pull_request:9257", + "accept": false, + "reason": "Attention reshape bug fix is unrelated to Flux DreamBooth prompt-tokenization changes." + }, + { + "left": "pull_request:11113", + "right": "pull_request:9473", + "accept": false, + "reason": "AutoencoderKL training-script fix and Flux DreamBooth LoRA optimizer-lr fix are different bugs in different scripts." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12551", + "accept": false, + "reason": "Removing k-diffusion from dependencies is unrelated to skipping Sana layerwise casting tests in CI." + }, + { + "left": "pull_request:12378", + "right": "pull_request:13099", + "accept": false, + "reason": "Core custom-code loading logic and its documentation guide are different artifacts, not the same change." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13296", + "accept": false, + "reason": "Sana CI skip is unrelated to updating the release test transformers version." + }, + { + "left": "pull_request:1945", + "right": "pull_request:823", + "accept": false, + "reason": "UNet block tests and negative-prompt type-mismatch handling are unrelated." + }, + { + "left": "pull_request:3462", + "right": "pull_request:4262", + "accept": false, + "reason": "Dreambooth LoRA robustness to original UNet and SDXL DreamBooth LoRA multi-fix are related by topic but not the same concrete bug/change." + }, + { + "left": "pull_request:3766", + "right": "pull_request:4461", + "accept": false, + "reason": "Kandinsky conversion-script updates are not the same as adding a pipeline_class_name argument to the Stable Diffusion conversion 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": 265, + "review_unit_index": 110, + 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"pull_request:6997", + "pull_request:7018", + "pull_request:7156", + "pull_request:7325", + "pull_request:7371", + "pull_request:7790", + "pull_request:8616", + "pull_request:8769", + "pull_request:8791", + "pull_request:8825", + "pull_request:9175", + "pull_request:9463", + "pull_request:9659", + "pull_request:9893" + ], + "soft_pairs": [ + "pull_request:4010|pull_request:4237", + "pull_request:4010|pull_request:4238", + "pull_request:4034|pull_request:5738", + "pull_request:4078|pull_request:6147", + "pull_request:4132|pull_request:5833", + "pull_request:4132|pull_request:5834", + "pull_request:4201|pull_request:4847", + "pull_request:4856|pull_request:5015", + "pull_request:4862|pull_request:6147", + "pull_request:4886|pull_request:7156", + "pull_request:5003|pull_request:7018", + "pull_request:5035|pull_request:5085", + "pull_request:5117|pull_request:6119", + "pull_request:5386|pull_request:7325", + "pull_request:5979|pull_request:6419", + "pull_request:6021|pull_request:6997", + "pull_request:6144|pull_request:6259", + "pull_request:6721|pull_request:7790", + "pull_request:8769|pull_request:8791", + "pull_request:8825|pull_request:9893", + "pull_request:7371|pull_request:8616", + "pull_request:10723|pull_request:9175", + "pull_request:5448|pull_request:5979", + "pull_request:9463|pull_request:9659", + "pull_request:12215|pull_request:12225", + "pull_request:11532|pull_request:12040" + ], + "prepared_review_unit_hash": "23968472e12b4becb631691dec8327ccb45c45b6dd70a8c79ae66561c4a5934f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 105119, + "estimated_input_tokens": 26280, + "estimated_eval_tokens": 52816 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated feature additions, bug fixes, docs-only changes, and training-script updates. I would not accept any soft-edge merge; the apparent similarities are mostly shared subsystems or filenames rather than the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out because the cluster does not represent one duplicate change; the items span many unrelated areas (ControlNet, LoRA, SDXL, Qwen-Image, docs, training, schedulers).", + "best_issue_reason": null, + "best_pr_reason": "If a representative is required, PR 12215 is the broadest high-signal artifact in the cluster, but only as a loose representative of the Qwen-Image subset\u2014not as a true duplicate canonical.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4010", + "right": "pull_request:4237", + "accept": false, + "reason": "Both touch SDXL img2img/offload-related code, but one fixes sequential CPU offload and the other fixes prompt embedding dtype; different bugs and different code paths." + }, + { + "left": "pull_request:4010", + "right": "pull_request:4238", + "accept": false, + "reason": "Shared SDXL ControlNet context, but one is an img2img offload fix and the other rewrites inference offload behavior for ControlNet SDXL; not the same change." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5738", + "accept": false, + "reason": "Both involve LoRA utilities, but one adds unload support and the other adds adapter deletion; separate APIs and behavior." + }, + { + "left": "pull_request:4078", + "right": "pull_request:6147", + "accept": false, + "reason": "One enforces accelerate for from_single_file, the other adds SDXL refiner/inpainting single-file support; different problems and code paths." + }, + { + "left": "pull_request:4132", + "right": "pull_request:5833", + "accept": false, + "reason": "One makes accelerate optional in conversion, the other fixes a ControlNet import path for single-file loading; unrelated fixes." + }, + { + "left": "pull_request:4132", + "right": "pull_request:5834", + "accept": false, + "reason": "Different single-file issues: optional accelerate handling vs ControlNet import path correction." + }, + { + "left": "pull_request:4201", + "right": "pull_request:4847", + "accept": false, + "reason": "Both are community/example pipeline work, but FABRIC and Prompt Free Diffusion are different pipelines with different goals and implementations." + }, + { + "left": "pull_request:4856", + "right": "pull_request:5015", + "accept": false, + "reason": "Both are docs link fixes, but they correct different broken links in different pages." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6147", + "accept": false, + "reason": "One fixes ControlNet img2img height selection for MultiControlNetModel; the other adds SDXL refiner support in single-file loading. Different bugs." + }, + { + "left": "pull_request:4886", + "right": "pull_request:7156", + "accept": false, + "reason": "StableDiffusionUpscale safety checker fix and stalebot label normalization are unrelated changes." + }, + { + "left": "pull_request:5003", + "right": "pull_request:7018", + "accept": false, + "reason": "Both are LoRA/training related, but one fixes fuse/unfuse internals and the other fixes fp16 gradient unscaling in DreamBooth LoRA training." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5085", + "accept": false, + "reason": "Both touch loaders.py, but one removes a transformers import requirement and the other preserves offloading for incompatible LoRA checkpoints." + }, + { + "left": "pull_request:5117", + "right": "pull_request:6119", + "accept": false, + "reason": "Both adjust training scripts, but one fixes resume logging semantics and the other fixes fp16 gradient issues in LoRA training." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo sweeps, but they are separate repo-wide cleanups with different file sets and not the same underlying change." + }, + { + "left": "pull_request:5979", + "right": "pull_request:6419", + "accept": false, + "reason": "DDGAN pipeline/scheduler addition and in-context-learning community pipeline are different experimental features." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6997", + "accept": false, + "reason": "DreamBooth LoRA variant support and UNetSpatioTemporalConditionModel LoRA support are unrelated feature additions." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6259", + "accept": false, + "reason": "Same training file, but one fixes saving unwrap logic and the other fixes autocast during validation; different bugs." + }, + { + "left": "pull_request:6721", + "right": "pull_request:7790", + "accept": false, + "reason": "AnimateDiff SDXL and masked im2im SDXL are distinct pipelines/features, not the same change." + }, + { + "left": "pull_request:8769", + "right": "pull_request:8791", + "accept": false, + "reason": "Both modify AutoencoderKL, but one adds attentionless VAE support and the other adds tiling options; separate VAE capabilities." + }, + { + "left": "pull_request:8825", + "right": "pull_request:9893", + "accept": false, + "reason": "K-diffusion ControlNet/IP-Adapter support and the SDXL ControlNet Reference community pipeline are different implementations and use cases." + }, + { + "left": "pull_request:7371", + "right": "pull_request:8616", + "accept": false, + "reason": "Both extend LoRA support, but one adds DoRA handling and the other adds LoRA fusion for SD3; different features and code paths." + }, + { + "left": "pull_request:10723", + "right": "pull_request:9175", + "accept": false, + "reason": "Different ControlNet Union features: per-control scaling for ControlNet Union vs Flux union ControlNet support." + }, + { + "left": "pull_request:5448", + "right": "pull_request:5979", + "accept": false, + "reason": "Latent Consistency Models pipeline/scheduler and DDGAN pipeline are unrelated model families." + }, + { + "left": "pull_request:9463", + "right": "pull_request:9659", + "accept": false, + "reason": "PAG img2img support and SD3 img2img LoRA support are separate pipeline features." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12225", + "accept": false, + "reason": "Both are Qwen-Image additions, but one adds ControlNet support and the other adds edit-inpaint support; different pipelines and concrete behavior." + }, + { + "left": "pull_request:11532", + "right": "pull_request:12040", + "accept": false, + "reason": "Both are LoRA loaders, but HiDream non-diffusers conversion and Wan LightX2V LoRA support target different model families and formats." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 111, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1012", + "pull_request:10359", + "pull_request:10481", + "pull_request:10547", + "pull_request:10576", + "pull_request:11142", + "pull_request:11159", + "pull_request:11238", + "pull_request:1147", + "pull_request:11726", + "pull_request:11843", + "pull_request:12074", + "pull_request:12490", + "pull_request:12681", + "pull_request:1282", + "pull_request:1283", + "pull_request:2002", + "pull_request:243", + "pull_request:2489", + "pull_request:3397", + "pull_request:3589", + "pull_request:4070", + "pull_request:4370", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4706", + "pull_request:4749", + "pull_request:4763", + "pull_request:4944", + "pull_request:5539", + "pull_request:5608", + "pull_request:5750", + "pull_request:5833", + "pull_request:5900", + "pull_request:6225", + "pull_request:7016", + "pull_request:7103", + "pull_request:7411", + "pull_request:7820", + "pull_request:7924", + "pull_request:8777", + "pull_request:8825", + "pull_request:888", + "pull_request:8981", + "pull_request:9206", + "pull_request:9968" + ], + "soft_pairs": [ + "pull_request:10576|pull_request:11843", + "pull_request:11238|pull_request:9968", + "pull_request:1282|pull_request:2002", + "pull_request:243|pull_request:888", + "pull_request:4370|pull_request:5833", + "pull_request:4499|pull_request:4763", + "pull_request:4500|pull_request:4763", + "pull_request:4501|pull_request:4763", + "pull_request:7924|pull_request:8825", + "pull_request:8777|pull_request:8981", + "pull_request:5900|pull_request:7820", + "pull_request:11726|pull_request:12074", + "pull_request:10359|pull_request:11159", + "pull_request:12490|pull_request:12681", + "pull_request:4944|pull_request:7016", + "pull_request:1012|pull_request:1147", + "pull_request:10481|pull_request:11142", + "pull_request:10547|pull_request:9206", + "pull_request:1283|pull_request:888", + "pull_request:2489|pull_request:3397", + "pull_request:3589|pull_request:5750", + "pull_request:4070|pull_request:4749", + "pull_request:4706|pull_request:6225", + "pull_request:5539|pull_request:7411", + "pull_request:5608|pull_request:7103" + ], + "prepared_review_unit_hash": "a2ce9ef3c75f20983f3e558fb56bb2ca5ed1edac7a994afed68c04f952cfdefd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 102704, + "estimated_input_tokens": 25676, + "estimated_eval_tokens": 51608 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy similarity cluster, not a true duplicate set. The PRs span unrelated docs, tests, example fixes, and feature work across many different code paths, so none of the soft edges should be merged.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical PR: the cluster mixes unrelated fixes, docs, tests, and features, so no single PR subsumes the rest.", + "best_issue_reason": null, + "best_pr_reason": "PR 12074 is the strongest representative only by size and centrality in the Wan LoRA subthread, but it still does not serve as a duplicate anchor for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10576", + "right": "pull_request:11843", + "accept": false, + "reason": "Both are LoRA-related tests, but they cover different models and bugs: 8-bit BnB LoRA loading vs Wan VACE exclude_modules." + }, + { + "left": "pull_request:11238", + "right": "pull_request:9968", + "accept": false, + "reason": "Different changes: SD3 ControlNet validation on A100 vs a broader ControlNet 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}, + { + "left": "pull_request:4501", + "right": "pull_request:4763", + "accept": false, + "reason": "The shared SDXL theme is too broad; one is reference-control support, the other is LoRA conversion tooling." + }, + { + "left": "pull_request:7924", + "right": "pull_request:8825", + "accept": false, + "reason": "IP-Adapter in SDXL ControlNet inpaint and K-Diffusion pipeline support are different implementation changes." + }, + { + "left": "pull_request:8777", + "right": "pull_request:8981", + "accept": false, + "reason": "Dummy LoRA processors and adding LoraLoaderMixin to inits are unrelated maintenance changes." + }, + { + "left": "pull_request:5900", + "right": "pull_request:7820", + "accept": false, + "reason": "Both touch IP-Adapter support, but one is a broad refactor and the other is a specific InstructPix2Pix fix." + }, + { + "left": "pull_request:11726", + "right": "pull_request:12074", + "accept": false, + "reason": "Related Wan LoRA area, but different concrete changes: conversion support vs second-transformer loading and docs." + }, + { + "left": "pull_request:10359", + "right": "pull_request:11159", + "accept": false, + "reason": "Different test fixes: one trims failing tests, the other fixes quantization dtype behavior and associated tests." + }, + { + "left": "pull_request:12490", + "right": "pull_request:12681", + "accept": false, + "reason": "One adjusts CLAP config construction in AudioLDM2 tests; the other is a broader CPU test cleanup across pipelines." + }, + { + "left": "pull_request:1012", + "right": "pull_request:1147", + "accept": false, + "reason": "Different example ecosystems: PyTorch DreamBooth train mode vs Flax examples loading the text encoder from subfolder." + }, + { + "left": "pull_request:10481", + "right": "pull_request:11142", + "accept": false, + "reason": "Both are Sana-related, but one flips a runtime default while the other changes conversion/script behavior." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9206", + "accept": false, + "reason": "Offload test split changes and xformers test fixes are separate test-maintenance issues." + }, + { + "left": "pull_request:1283", + "right": "pull_request:888", + "accept": false, + "reason": "Both add pipelines, but RePaint and CycleDiffusion are different pipelines and implementations." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3397", + "accept": false, + "reason": "Unrelated documentation additions: Core ML docs versus a LoRA training note." + }, + { + "left": "pull_request:3589", + "right": "pull_request:5750", + "accept": false, + "reason": "No evidence of the same change: README reference-trick docs versus an empty/non-diff PR title only." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4749", + "accept": false, + "reason": "SDXL docs polish and DreamBooth LoRA checkpointing are unrelated changes." + }, + { + "left": "pull_request:4706", + "right": "pull_request:6225", + "accept": false, + "reason": "Both mention LoRA alphas, but one fixes loader defaults while the other fixes training scripts to write the right alpha values." + }, + { + "left": "pull_request:5539", + "right": "pull_request:7411", + "accept": false, + "reason": "Both are typo cleanup PRs, but they are unrelated edits in different files and code paths." + }, + { + "left": "pull_request:5608", + "right": "pull_request:7103", + "accept": false, + "reason": "PEFT empty-alpha handling and ControlNet check_image logic are 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": 265, + "review_unit_index": 112, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": 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"pull_request:7825|pull_request:9379", + "pull_request:9821|pull_request:9827", + "pull_request:10494|pull_request:9536", + "pull_request:12142|pull_request:12914", + "pull_request:12143|pull_request:12914", + "pull_request:1215|pull_request:819" + ], + "prepared_review_unit_hash": "a6ff28f1111ad2a4ceb02418c9180a6baa215d5026d3f9b39dde6d1962617236", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102542, + "estimated_input_tokens": 25636, + "estimated_eval_tokens": 51528 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated feature PRs, docs updates, test skips, and small bug fixes. 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not the same concrete change." + }, + { + "left": "pull_request:11159", + "right": "pull_request:11715", + "accept": false, + "reason": "Both are quantization-related tests, but one is a dtype fix and the other only adds version annotations for compile tests." + }, + { + "left": "pull_request:1215", + "right": "pull_request:742", + "accept": false, + "reason": "Same DDIM file, but one fixes eta/cpu-generator noise handling and the other fixes noise dtype; related but not the same bug." + }, + { + "left": "pull_request:12277", + "right": "pull_request:12551", + "accept": false, + "reason": "Both adjust tests for CI compatibility, but for different pipelines and different failing conditions." + }, + { + "left": "pull_request:12882", + "right": "pull_request:13056", + "accept": false, + "reason": "Different community examples: z-image differential img2img vs Z-Image DreamBooth LoRA training." + }, + { + "left": "pull_request:2976", + "right": "pull_request:4215", + "accept": false, + "reason": "Both are doc navigation fixes, but they affect different pages and link targets." + }, + { + "left": "pull_request:4481", + "right": "pull_request:6303", + "accept": false, + "reason": "EDM pipeline/scheduler implementation versus ADD training scripts; 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I do not see any true duplicate PR pairs here; all soft edges should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for a duplicate cluster: the items span unrelated docs, tests, loaders, schedulers, training scripts, and pipelines. The strongest standalone PR is 7186 because it is a substantial, coherent feature with an explicit issue link, but it is not a duplicate anchor for the rest.", + "best_issue_reason": null, + "best_pr_reason": "7186 is the best standalone PR in this set: broad, coherent IP-Adapter feature work with tests and an explicit issue target. 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not the same concrete change." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9601", + "accept": false, + "reason": "Different bug fixes in different code paths: hook unwrapping versus VAE dtype handling in SD3 training." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13410", + "accept": false, + "reason": "Both are modular-doc related, but one updates pipeline docs and the other adds agent guidance files; not duplicate changes." + }, + { + "left": "pull_request:1327", + "right": "pull_request:2928", + "accept": false, + "reason": "Different domains entirely: local custom pipeline loading versus custom local dataset loading for ControlNet training." + }, + { + "left": "pull_request:1327", + "right": "pull_request:3446", + "accept": false, + "reason": "Custom pipeline loading support and a pipeline-loading warning-message cleanup are separate changes." + }, + { + "left": "pull_request:2002", + "right": "pull_request:816", + "accept": false, + "reason": "LoRA feature work in text-to-image training versus a deepspeed compatibility fix; not the same bug or PR." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3691", + "accept": false, + "reason": "One adds text-encoder LoRA training support, the other changes which attention processor class is used in the loader." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3912", + "accept": false, + "reason": "Same broad LoRA area, but 2479 is a script-level feature addition while 3912 is a broader follow-up with docs/tests; not mergeable as one concrete fix." + }, + { + "left": "pull_request:2557", + "right": "pull_request:3016", + "accept": false, + "reason": "Dreambooth intermediate logging and ControlNet Min-SNR loss are unrelated training-script changes." + }, + { + "left": "pull_request:3128", + "right": "pull_request:4886", + "accept": false, + "reason": "Different pipeline bugs: timestep slicing for img2img versus safety-checker preprocessing in upscale." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4428", + "accept": false, + "reason": "Both touch docs, but one is a small SDXL doc cleanup and the other is a large docs/site restructuring." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6085", + "accept": false, + "reason": "ControlNet SDXL img2img shape handling is unrelated to scheduler `add_noise` index selection." + }, + { + "left": "pull_request:5157", + "right": "pull_request:7018", + "accept": false, + "reason": "Different problems in different layers: LoRA conversion mapping versus advanced LoRA training gradient scaling." + }, + { + "left": "pull_request:6147", + "right": "pull_request:7166", + "accept": false, + "reason": "Both involve SDXL LoRA/single-file loading, but one is single-file refiner support and the other fixes LoRA checkpoint loading; not the same concrete bug." + }, + { + "left": "pull_request:7295", + "right": "pull_request:9244", + "accept": false, + "reason": "Single-file loader cleanup for UNet is unrelated to adding Flux pipeline single-file support." + }, + { + "left": "pull_request:8631", + "right": "pull_request:8902", + "accept": false, + "reason": "A `from_single_file` T5 return fix and sharded checkpoint compatibility are different loader 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": 265, + "review_unit_index": 114, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly a loose bag of PRs that are only superficially similar by subsystem or filename. I did not find any soft-edge pair that clearly fixes the same concrete bug/change well enough to merge as duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10397 is the best canonical PR candidate among this set: it is merged, has a concrete Flux LoRA bug-fix focus, and includes code, tests, and docs rather than just peripheral changes.", + "best_issue_reason": null, + "best_pr_reason": "PR #10397 is the strongest overall representative because it targets a specific user-facing LoRA unloading problem and appears to be the most complete landed fix in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8755", + "right": "pull_request:9807", + "accept": false, + "reason": "Both are LoRA-related, but one is SD3 DreamBooth LoRA training and the other is AutoencoderKL LoRA adapter support; different code paths and different bugs." + }, + { + "left": "pull_request:10396", + "right": "pull_request:10397", + "accept": false, + "reason": "Same broad Flux/LoRA area, but #10396 fixes state-dict expansion indexing while #10397 focuses on unloading/reset behavior; related, but not the same concrete change." + }, + { + "left": "pull_request:1250", + "right": "pull_request:243", + "accept": false, + "reason": "Completely different community pipelines and different functionality; no shared underlying bug or change." + }, + { + "left": "pull_request:2034", + "right": "pull_request:3850", + "accept": false, + "reason": "Unrelated test fixes for different models and pipelines." + }, + { + "left": "pull_request:2034", + "right": "pull_request:689", + "accept": false, + "reason": "One is a DiT test adjustment and the other is a low-level attention perf change; not the same bug." + }, + { + "left": "pull_request:4795", + "right": "pull_request:6864", + "accept": false, + "reason": "#4795 is a ControlNet torch.compile code fix, while #6864 is documentation guidance about compiling after fusing LoRAs." + }, + { + "left": "pull_request:8688", + "right": "pull_request:8755", + "accept": false, + "reason": "Both touch LoRA/PEFT, but one fixes DoRA conversion handling and the other fixes SD3 DreamBooth LoRA training; distinct issues." + }, + { + "left": "pull_request:12983", + "right": "pull_request:13237", + "accept": false, + "reason": "Both are single-file utility updates, but they support different model families and checkpoint mappings; not a duplicate change." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8856", + "accept": false, + "reason": "Both involve img2img-style shape handling, but they fix different pipelines and different failure modes." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8859", + "accept": false, + "reason": "Different subsystems entirely: ControlNet img2img compile fix vs AuraFlow compile compatibility." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12225", + "accept": false, + "reason": "Both add pipeline support, but for unrelated models and features." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11755", + "accept": false, + "reason": "Different tests and different pipelines; no shared underlying code change." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13089", + "accept": false, + "reason": "Both mention QwenImage modular code, but one adds Edit Plus support and the other adds a guider plus pipeline updates; not the same concrete bug/change." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5922", + "accept": false, + "reason": "Both are ControlNet/adapters img2img fixes, but they address different batch/shape handling paths and are not mergeable as one bug fix." + }, + { + "left": "pull_request:9268", + "right": "pull_request:9423", + "accept": false, + "reason": "Same differential-diffusion style, but applied to different models and implementations; not the same fix." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4774", + "accept": false, + "reason": "SDXL inpainting from_single_file support and SDXL negative size conditions are unrelated changes." + }, + { + "left": "pull_request:8389", + "right": "pull_request:9696", + "accept": false, + "reason": "Both are workflow tweaks, but they affect different CI workflows and different validation logic." + }, + { + "left": "pull_request:4481", + "right": "pull_request:4847", + "accept": false, + "reason": "One adds EDM pipeline/scheduler support; the other adds a community example. Different artifacts and goals." + }, + { + "left": "pull_request:4498", + "right": "pull_request:6197", + "accept": false, + "reason": "Completely unrelated: SDXL reference example vs DeepCache support." + }, + { + "left": "pull_request:5915", + "right": "pull_request:6884", + "accept": false, + "reason": "Both are IP-Adapter related, but #5915 adds IP-Adapter Plus support and #6884 only tightens scale-length validation; different change scopes." + }, + { + "left": "pull_request:11159", + "right": "pull_request:11522", + "accept": false, + "reason": "Different model-support/compatibility fixes with no shared code path." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12496", + "accept": false, + "reason": "One adds LoRA support for I2V, the other fixes Wan I2V condition shape mismatch; related domain, but distinct bugs." + }, + { + "left": "pull_request:12919", + "right": "pull_request:12996", + "accept": false, + "reason": "Both mention Ulysses/attention, but one is an NPU backend implementation and the other is arbitrary-length Ulysses support; not the same concrete change." + }, + { + "left": "pull_request:10581", + "right": "pull_request:10728", + "accept": false, + "reason": "Different model features: SD3 IP-Adapter support vs Flux quantization/IP-Adapter behavior." + }, + { + "left": "pull_request:12091", + "right": "pull_request:12526", + "accept": false, + "reason": "Distinct large feature additions for different model families; no duplicate 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": 1, + "component_count": 265, + "review_unit_index": 115, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This is not a single duplicate cluster: the items span unrelated docs edits, test cleanup, LoRA plumbing, Flux/Wan feature work, and pipeline-specific fixes across many subsystems and dates. The soft-similarity edges are mostly broad topical overlap, not 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": "pull_request:4632", + "right": "pull_request:6464", + "accept": false, + "reason": "Both touch training scripts, but one is checkpointing/casting in SDXL LoRA and the other is a save-hook fix in advanced DreamBooth; different bugs and code paths." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5127", + "accept": false, + "reason": "One adds clip-skip support to SDXL pipelines; the other adds multi-adapter support to the T2I adapter pipeline. Same family, different changes." + }, + { + "left": "pull_request:11546", + "right": "pull_request:11804", + "accept": false, + "reason": "Both involve LoRA loading, but 11546 adds a Hunyuan FramePack mapping while 11804 introduces dynamic loading/unloading with group offloading. Not the same issue." + }, + { + "left": "pull_request:5185", + "right": "pull_request:5417", + "accept": false, + "reason": "5185 is a PEFT CI fix for active adapters; 5417 is a broad LoRA scale/unscale correctness fix across many pipelines. Related area, different concrete bug." + }, + { + "left": "pull_request:7550", + "right": "pull_request:9268", + "accept": false, + "reason": "Different community pipelines for different models and functionality; not the same underlying change." + }, + { + "left": "pull_request:8679", + "right": "pull_request:9597", + "accept": false, + "reason": "Both are differential diffusion community pipelines, but for different base models and implementations. Not mergeable as one PR." + }, + { + "left": "pull_request:11823", + "right": "pull_request:12040", + "accept": false, + "reason": "Both add LoRA conversion support, but for different WAN/Flux Kontekst targets and conversion logic. Distinct model families and bugs." + }, + { + "left": "pull_request:9367", + "right": "pull_request:9507", + "accept": false, + "reason": "Auto-pipeline registration for Flux variants versus a Flux ControlNet batch/control-mode fix; different code paths and problems." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9445", + "accept": false, + "reason": "Union ControlNet support and a community Flux CFG example are separate features, not the same bug or change." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11823", + "accept": false, + "reason": "Both touch LoRA conversion utilities, but one supports WAN I2V LoRAs and the other supports Fal Kontext LoRA conversion. Different targets and transformations." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12988", + "accept": false, + "reason": "Both are about context parallelism, but one changes Flux.2 split dimensions and the other removes a divisibility assertion for a seq-len crash. Different concrete fixes." + }, + { + "left": "pull_request:10005", + "right": "pull_request:10332", + "accept": false, + "reason": "Docs addition for missing pipelines versus a runtime error-message shape fix in model loading. No underlying duplicate bug." + }, + { + "left": "pull_request:10005", + "right": "pull_request:8675", + "accept": false, + "reason": "Both are documentation-only, but they update different docs for unrelated purposes." + }, + { + "left": "pull_request:10099", + "right": "pull_request:10977", + "accept": false, + "reason": "A typo fix in xfail arguments and tests for saving/loading optional components are unrelated." + }, + { + "left": "pull_request:10102", + "right": "pull_request:9843", + "accept": false, + "reason": "Both are SD3 tests, but one exercises skip_guidance_layers and the other covers SD3 LoRA behavior. Different test goals." + }, + { + "left": "pull_request:10109", + "right": "pull_request:10648", + "accept": false, + "reason": "Torch XLA support in Stable Audio versus a DDPM scheduler docs update; unrelated changes." + }, + { + "left": "pull_request:10115", + "right": "pull_request:10783", + "accept": false, + "reason": "Flux positional embedding fix versus a DreamBooth fp16 validation bug; different subsystems and bugs." + }, + { + "left": "pull_request:10115", + "right": "pull_request:11439", + "accept": false, + "reason": "Flux embedding correction and Hi-Dream validation cleanup are unrelated changes." + }, + { + "left": "pull_request:10179", + "right": "pull_request:10278", + "accept": false, + "reason": "Two separate doc/example fixes for different pipelines and topics; not the same change." + }, + { + "left": "pull_request:10179", + "right": "pull_request:10517", + "accept": false, + "reason": "A community rf-inversion doc fix and a Sana 4K bug report/PR are unrelated." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10364", + "accept": false, + "reason": "AutoencoderDC single-file support and Sana torch_xla support are unrelated features in different areas." + }, + { + "left": "pull_request:10183", + "right": "pull_request:11271", + "accept": false, + "reason": "Both involve single-file loading, but one adds AutoencoderDC support and the other fixes LTX 0.9.5 model inference. Different model types and fixes." + }, + { + "left": "pull_request:10188", + "right": "pull_request:11595", + "accept": false, + "reason": "Both are Flux LoRA loading changes, but 10188 tests mixed normal/expanding LoRA error handling while 11595 fixes load_lora_weights base-layer selection. Not the same concrete bug." + }, + { + "left": "pull_request:1020", + "right": "pull_request:1221", + "accept": false, + "reason": "Large training/fine-tuning docs update versus a README section on weight reuse; not a duplicate change." + }, + { + "left": "pull_request:10205", + "right": "pull_request:11292", + "accept": false, + "reason": "InstructPix2Pix LoRA PEFT refactor and broader SDXL LoRA support are different features." + }, + { + "left": "pull_request:10220", + "right": "pull_request:9683", + "accept": false, + "reason": "Renaming Mochi tests and fixing/unskipping CogVideoX I2V tests are separate test-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": 265, + "review_unit_index": 116, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10232", + "pull_request:10246", + "pull_request:10250", + "pull_request:10253", + "pull_request:10255", + "pull_request:10268", + "pull_request:1027", + "pull_request:10271", + "pull_request:10275", + "pull_request:10278", + "pull_request:10299", + "pull_request:10319", + "pull_request:10323", + "pull_request:10332", + "pull_request:10359", + "pull_request:10365", + "pull_request:10394", + "pull_request:10404", + "pull_request:1041", + "pull_request:10419", + "pull_request:10429", + "pull_request:1044", + "pull_request:10458", + "pull_request:10464", + "pull_request:10494", + "pull_request:10534", + "pull_request:10585", + "pull_request:10632", + "pull_request:10825", + "pull_request:10858", + "pull_request:10888", + "pull_request:11105", + "pull_request:11325", + "pull_request:11439", + "pull_request:11545", + "pull_request:11600", + "pull_request:11747", + "pull_request:1727", + "pull_request:1729", + "pull_request:178", + "pull_request:874", + "pull_request:8836", + "pull_request:8838", + "pull_request:9066", + "pull_request:9072", + "pull_request:9655", + "pull_request:9808" + ], + "soft_pairs": [ + "pull_request:10222|pull_request:11105", + "pull_request:10232|pull_request:10404", + "pull_request:10246|pull_request:11545", + "pull_request:10250|pull_request:8836", + "pull_request:10253|pull_request:8838", + "pull_request:10255|pull_request:10275", + "pull_request:10255|pull_request:10585", + "pull_request:10255|pull_request:11439", + "pull_request:10255|pull_request:11600", + "pull_request:10268|pull_request:11105", + "pull_request:1027|pull_request:874", + "pull_request:10271|pull_request:9808", + "pull_request:10278|pull_request:10419", + "pull_request:10278|pull_request:9655", + "pull_request:10299|pull_request:10825", + "pull_request:10299|pull_request:10858", + "pull_request:10319|pull_request:10419", + "pull_request:10319|pull_request:9072", + "pull_request:10319|pull_request:9655", + "pull_request:10323|pull_request:11325", + "pull_request:10332|pull_request:11747", + "pull_request:10359|pull_request:10494", + "pull_request:10365|pull_request:11105", + "pull_request:10394|pull_request:10632", + "pull_request:10394|pull_request:9066", + "pull_request:1041|pull_request:1727", + "pull_request:1041|pull_request:1729", + "pull_request:10419|pull_request:10858", + "pull_request:10429|pull_request:8836", + "pull_request:1044|pull_request:178", + "pull_request:10458|pull_request:10888", + "pull_request:10464|pull_request:10534" + ], + "prepared_review_unit_hash": "a0c93313d1f7140221b5c10f3349050bfc0718cc511111b3fdde7893bea31488", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 95492, + "estimated_input_tokens": 23873, + "estimated_eval_tokens": 48002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs fixes, test refactors, pipeline additions, and isolated bug/feature changes. I don\u2019t see any pair that looks like the same underlying change or bug, so there is no real duplicate canonicalization here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No strong canonical PR: the set spans unrelated docs, tests, and feature/bugfix PRs, so no single PR cleanly represents a duplicate target for the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 1044 is the most substantial and widely discussed item in the set, so it is the best anchor only in a loose representative sense; however, it is still not a duplicate match for the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10222", + "right": "pull_request:11105", + "accept": false, + "reason": "Different problems and code paths: ControlNet XLA stepping vs Wan autoencoder gradient checkpointing." + }, + { + "left": "pull_request:10232", + "right": "pull_request:10404", + "accept": false, + "reason": "Both are docs edits, but they touch different pages and unrelated corrections." + }, + { + "left": "pull_request:10246", + "right": "pull_request:11545", + "accept": false, + "reason": "Different scopes: missing attention processor docs vs FLUX img2img VAE slicing/tiling methods." + }, + { + "left": "pull_request:10250", + "right": "pull_request:8836", + "accept": false, + "reason": "Separate bugs in different models: MidResTemporalBlock1D downsample typo vs sliced attention loop boundary." + }, + { + "left": "pull_request:10253", + "right": "pull_request:8838", + "accept": false, + "reason": "Unrelated churn: a contribution note in docs vs adding disable_forward_chunking to SD3 transformer." + }, + { + "left": "pull_request:10255", + "right": "pull_request:10275", + "accept": false, + "reason": "Different changes: Mochi LoRA loader comment/doc fix vs licensing header cleanup." + }, + { + "left": "pull_request:10255", + "right": "pull_request:10585", + "accept": false, + "reason": "Both touch Mochi, but one is a comment/doc correction and the other is a VAE annotation fix." + }, + { + "left": "pull_request:10255", + "right": "pull_request:11439", + "accept": false, + "reason": "Different areas and intents: Mochi LoRA loader comment vs HiDream validation bug." + }, + { + "left": "pull_request:10255", + "right": "pull_request:11600", + "accept": false, + "reason": "Mochi LoRA comment fix is unrelated to CI filename reporting." + }, + { + "left": "pull_request:10268", + "right": "pull_request:11105", + "accept": false, + "reason": "Single-file Mochi support is a model-loading feature, not related to Wan autoencoder checkpointing." + }, + { + "left": "pull_request:1027", + "right": "pull_request:874", + "accept": false, + "reason": "Different eras and changes: DDPM example dataloader arg vs community README guidance." + }, + { + "left": "pull_request:10271", + "right": "pull_request:9808", + "accept": false, + "reason": "Both are tests, but they cover different subsystems and distinct refactors." + }, + { + "left": "pull_request:10278", + "right": "pull_request:10419", + "accept": false, + "reason": "TorchAO example docs vs scheduler docstring fixes; no shared underlying bug." + }, + { + "left": "pull_request:10278", + "right": "pull_request:9655", + "accept": false, + "reason": "Different docs topics: TorchAO quantization example vs xDiT image path updates." + }, + { + "left": "pull_request:10299", + "right": "pull_request:10825", + "accept": false, + "reason": "GGUF usage example update is unrelated to text2image training checkpoint instructions." + }, + { + "left": "pull_request:10299", + "right": "pull_request:10858", + "accept": false, + "reason": "Different docs: GGUF example generator usage vs pipeline overview classification correction." + }, + { + "left": "pull_request:10319", + "right": "pull_request:10419", + "accept": false, + "reason": "Docstring wording in Hunyuan Video pipeline is unrelated to scheduler parameter documentation." + }, + { + "left": "pull_request:10319", + "right": "pull_request:9072", + "accept": false, + "reason": "Separate doc fixes in different files; one is a pipeline docstring, the other is grammar in ControlNet docs." + }, + { + "left": "pull_request:10319", + "right": "pull_request:9655", + "accept": false, + "reason": "Hunyuan Video docstring correction is unrelated to xDiT docs image-path cleanup." + }, + { + "left": "pull_request:10323", + "right": "pull_request:11325", + "accept": false, + "reason": "Quantization links fix is unrelated to HiDream pipeline docstring replacement." + }, + { + "left": "pull_request:10332", + "right": "pull_request:11747", + "accept": false, + "reason": "Different documentation/code tasks: missing .shape in model loading error vs HiDream license header addition." + }, + { + "left": "pull_request:10359", + "right": "pull_request:10494", + "accept": false, + "reason": "Broad test cleanup across LoRA/model files vs a CI workflow install fix; not the same bug." + }, + { + "left": "pull_request:10365", + "right": "pull_request:11105", + "accept": false, + "reason": "Both mention XLA-like backend work only loosely; AuraFlow XLA support and Wan gradient checkpointing are distinct changes." + }, + { + "left": "pull_request:10394", + "right": "pull_request:10632", + "accept": false, + "reason": "Peft loading doc link fix and para-attn image-path fix are unrelated docs changes." + }, + { + "left": "pull_request:10394", + "right": "pull_request:9066", + "accept": false, + "reason": "Different docs pages and issues; no shared underlying content bug." + }, + { + "left": "pull_request:1041", + "right": "pull_request:1727", + "accept": false, + "reason": "Separate pipeline/test fixes in unrelated code paths and generations." + }, + { + "left": "pull_request:1041", + "right": "pull_request:1729", + "accept": false, + "reason": "Stable Diffusion/latent diffusion test cleanup is unrelated to the CPU/GPU gating change in the other PR." + }, + { + "left": "pull_request:10419", + "right": "pull_request:10858", + "accept": false, + "reason": "Scheduler docstrings and pipeline overview classification are different documentation fixes." + }, + { + "left": "pull_request:10429", + "right": "pull_request:8836", + "accept": false, + "reason": "Ascend NPU embedding dtype handling is unrelated to sliced attention loop logic." + }, + { + "left": "pull_request:1044", + "right": "pull_request:178", + "accept": false, + "reason": "A new Spectrogram Diffusion pipeline is not the same as stable diffusion pipeline test additions." + }, + { + "left": "pull_request:10458", + "right": "pull_request:10888", + "accept": false, + "reason": "LoRA integration test markers are unrelated to adding SD3 ControlNet to AutoPipeline." + }, + { + "left": "pull_request:10464", + "right": "pull_request:10534", + "accept": false, + "reason": "Different NPU adaptations in different modules: FLUX transformer support vs RMSNorm 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": 265, + "review_unit_index": 117, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10491", + "pull_request:10504", + "pull_request:10505", + "pull_request:10531", + "pull_request:10544", + "pull_request:10585", + "pull_request:1063", + "pull_request:10630", + "pull_request:10632", + "pull_request:10633", + "pull_request:10648", + "pull_request:10684", + "pull_request:10783", + "pull_request:10802", + "pull_request:10819", + "pull_request:10845", + "pull_request:10858", + "pull_request:10885", + "pull_request:10938", + "pull_request:10947", + "pull_request:10975", + "pull_request:10977", + "pull_request:10978", + "pull_request:10990", + "pull_request:10991", + "pull_request:11053", + "pull_request:11248", + "pull_request:11303", + "pull_request:11355", + "pull_request:11434", + "pull_request:11439", + "pull_request:11550", + "pull_request:11693", + "pull_request:11731", + "pull_request:11737", + "pull_request:11743", + "pull_request:11755", + "pull_request:11768", + "pull_request:11778", + "pull_request:12193", + "pull_request:1437", + "pull_request:9553", + "pull_request:9598", + "pull_request:9627", + "pull_request:9655", + "pull_request:9683", + "pull_request:9765", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:10491|pull_request:9683", + "pull_request:10504|pull_request:11355", + "pull_request:10504|pull_request:9598", + "pull_request:10505|pull_request:11355", + "pull_request:10505|pull_request:9598", + "pull_request:10531|pull_request:10648", + "pull_request:10531|pull_request:10885", + "pull_request:10544|pull_request:11743", + "pull_request:10585|pull_request:11778", + "pull_request:1063|pull_request:1437", + "pull_request:10630|pull_request:11755", + "pull_request:10632|pull_request:9765", + "pull_request:10633|pull_request:9987", + "pull_request:10648|pull_request:11693", + "pull_request:10648|pull_request:11731", + "pull_request:10684|pull_request:10802", + "pull_request:10783|pull_request:11439", + "pull_request:10819|pull_request:10885", + "pull_request:10819|pull_request:11737", + "pull_request:10819|pull_request:11768", + "pull_request:10845|pull_request:10990", + "pull_request:10858|pull_request:9655", + "pull_request:10885|pull_request:11693", + "pull_request:10938|pull_request:11248", + "pull_request:10938|pull_request:11303", + "pull_request:10938|pull_request:12193", + "pull_request:10938|pull_request:9553", + "pull_request:10947|pull_request:11550", + "pull_request:10975|pull_request:10991", + "pull_request:10977|pull_request:11434", + "pull_request:10977|pull_request:9683", + "pull_request:10978|pull_request:9627", + "pull_request:10991|pull_request:11053" + ], + "prepared_review_unit_hash": "727afb5dc949670f9c060a9192ea042e8444b8eaf52793d2750235c4004d02c0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 95702, + "estimated_input_tokens": 23926, + "estimated_eval_tokens": 48108 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are a loose mix of unrelated docs, test, and feature PRs across different subsystems. I don\u2019t see a true duplicate cluster here; the soft edges are mostly title/scope similarity rather than the same underlying change. The most representative PR is the broader, issue-linked Flux quantization change.", + "confidence": 0.28, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10990 is the strongest representative: it has explicit issue linkage, multiple related files, and a substantive code-path change rather than a pure doc/chore tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 10990 is the best overall representative because it is the most substantive and clearly scoped change in the set; others are mostly small docs/test cleanups or unrelated feature work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10491", + "right": "pull_request:9683", + "accept": false, + "reason": "Different changes: CI path fix for a test filename vs CogVideoX test renaming/unskip. Same area only superficially." + }, + { + "left": "pull_request:10504", + "right": "pull_request:11355", + "accept": false, + "reason": "Both are test cleanups, but one removes debug prints while the other standardizes BnB test names/inputs. Not the same bug/change." + }, + { + "left": "pull_request:10504", + "right": "pull_request:9598", + "accept": false, + "reason": "Unrelated test cleanup themes: removing prints vs adding version notes. No shared code-path fix." + }, + { + "left": "pull_request:10505", + "right": "pull_request:11355", + "accept": false, + "reason": "Both touch tests, but one removes prints and the other makes BnB test consistency edits. Different underlying changes." + }, + { + "left": "pull_request:10505", + "right": "pull_request:9598", + "accept": false, + "reason": "Different test chores with no shared defect or fix path." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10648", + "accept": false, + "reason": "Doc fixes for different APIs/pipelines: SD3 negative prompt docs vs DDPM scheduler docs." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10885", + "accept": false, + "reason": "Both are docs, but one is SD3/Flux prompt docs and the other adds CogVideoX scheduler pages. Not the same change." + }, + { + "left": "pull_request:10544", + "right": "pull_request:11743", + "accept": false, + "reason": "ParaAttention docs vs a research training script. Different scope and codebase areas." + }, + { + "left": "pull_request:10585", + "right": "pull_request:11778", + "accept": false, + "reason": "Mochi VAE annotation fix vs Wan VACE mask padding bug. Completely different code paths." + }, + { + "left": "pull_request:1063", + "right": "pull_request:1437", + "accept": false, + "reason": "Both are typo fixes, but they modify different files and different error messages in unrelated eras of the codebase." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11755", + "accept": false, + "reason": "Flax test slice update vs LTX latent upsample CPU-offload fix. One is test expectation churn, the other is runtime pipeline behavior." + }, + { + "left": "pull_request:10632", + "right": "pull_request:9765", + "accept": false, + "reason": "ParaAttention image-path doc fix is unrelated to SD3 docstring typo." + }, + { + "left": "pull_request:10633", + "right": "pull_request:9987", + "accept": false, + "reason": "Flux IP-Adapter docs example vs SD3.5 IP-Adapter pipeline integration are different feature additions, not duplicates." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11693", + "accept": false, + "reason": "DDPM scheduler docs vs bitsandbytes compilation docs. Different documentation topics." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11731", + "accept": false, + "reason": "DDPM scheduler docs vs memory/offload docs. Not the same underlying change." + }, + { + "left": "pull_request:10684", + "right": "pull_request:10802", + "accept": false, + "reason": "Hunyuan-Video input-check typo fix vs a comment typo in ControlNet training script. Different issues." + }, + { + "left": "pull_request:10783", + "right": "pull_request:11439", + "accept": false, + "reason": "Dreambooth fp16 bug fix vs Hi-Dream validation cleanup. Different training paths and fixes." + }, + { + "left": "pull_request:10819", + "right": "pull_request:10885", + "accept": false, + "reason": "LoRA docs additions vs CogVideoX scheduler docs. Same docs area only broadly." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11737", + "accept": false, + "reason": "LoRA docs vs DeepSpeed training support in a dreambooth script. Unrelated." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11768", + "accept": false, + "reason": "LoRA docs vs hook-removal behavior in loaders. Different subsystem and problem." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10990", + "accept": false, + "reason": "Flux LoRA training bug fix vs Flux quantized LoRA support. Related model family, but different code paths and outcomes." + }, + { + "left": "pull_request:10858", + "right": "pull_request:9655", + "accept": false, + "reason": "I2VGen-XL docs overview correction vs xDiT image/documentation path fix. Different docs changes." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11693", + "accept": false, + "reason": "CogVideoX scheduler docs vs bitsandbytes compile docs. Not the same change." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11248", + "accept": false, + "reason": "Evaluation docs update vs controlnet README image URL fix. Different documentation targets." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11303", + "accept": false, + "reason": "Evaluation docs vs Allegro autoencoder docs. No shared underlying change." + }, + { + "left": "pull_request:10938", + "right": "pull_request:12193", + "accept": false, + "reason": "Evaluation docs vs Qwen README script filename fix. Unrelated." + }, + { + "left": "pull_request:10938", + "right": "pull_request:9553", + "accept": false, + "reason": "Evaluation docs vs distributed inference tip update. Different documentation topics." + }, + { + "left": "pull_request:10947", + "right": "pull_request:11550", + "accept": false, + "reason": "Both involve single-file loading support, but for different models (Sana vs HiDream) and different checkpoints/code paths." + }, + { + "left": "pull_request:10975", + "right": "pull_request:10991", + "accept": false, + "reason": "Wan pipeline bugs vs Wan single-file loading support. Same family, but different concrete changes." + }, + { + "left": "pull_request:10977", + "right": "pull_request:11434", + "accept": false, + "reason": "Save/load component test fixes vs an import fix in common test utilities. Not the same issue." + }, + { + "left": "pull_request:10977", + "right": "pull_request:9683", + "accept": false, + "reason": "Save/load component tests vs CogVideoX integration test naming/unskip. Different test suites and problems." + }, + { + "left": "pull_request:10978", + "right": "pull_request:9627", + "accept": false, + "reason": "LoRA conversion fix for OneTrainer Flux vs Dora test warning-capture fix. Different bugs." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11053", + "accept": false, + "reason": "Wan single-file loading support vs Wan video-to-video pipeline addition. Both Wan-related, 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": 265, + "review_unit_index": 118, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly a noisy mix of unrelated PRs that share broad themes like docs, tests, or pipeline work. I found no pair that clearly targets the same underlying bug or change, so all soft edges are rejected and there is no strong canonical PR candidate.", + "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:1103", + "right": "pull_request:60", + "accept": false, + "reason": "Unrelated: README URL fix vs scheduler implementation change." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11740", + "accept": false, + "reason": "Different areas: PEFT decorator/test setup vs GGUF compile/offload tests." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11953", + "accept": false, + "reason": "Different test work: PEFT dependency handling vs HiDream fast output slices." + }, + { + "left": "pull_request:1104", + "right": "pull_request:1311", + "accept": false, + "reason": "Unrelated CI/MPS tests vs AltDiffusion test additions." + }, + { + "left": "pull_request:11113", + "right": "pull_request:9646", + "accept": false, + "reason": "Different bugs/features in different scripts: AutoencoderKL train fix vs Flux LoRA target-module configurability." + }, + { + "left": "pull_request:11204", + "right": "pull_request:9754", + "accept": false, + "reason": "Different training examples and goals: XLA SDXL work vs Flux quantized training project." + }, + { + "left": "pull_request:11212", + "right": "pull_request:11634", + "accept": false, + "reason": "Both docs, but one adds MPS badges and the other updates a torchao link; not the same change." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11303", + "accept": false, + "reason": "Different docs fixes in different files/models." + }, + { + "left": "pull_request:11248", + "right": "pull_request:12193", + "accept": false, + "reason": "README typo in Flux example vs Qwen image script-name fix." + }, + { + "left": "pull_request:113", + "right": "pull_request:169", + "accept": false, + "reason": "Different schedulers and different code paths." + }, + { + "left": "pull_request:113", + "right": "pull_request:400", + "accept": false, + "reason": "Scheduler initialization fix vs unrelated Score SDE documentation rewrite." + }, + { + "left": "pull_request:11303", + "right": "pull_request:12193", + "accept": false, + "reason": "Different documentation snippets for different models/examples." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12259", + "accept": false, + "reason": "HiDream docstring decorator fix vs distributed inference VAE scale-factor docs." + }, + { + "left": "pull_request:11434", + "right": "pull_request:11789", + "accept": false, + "reason": "Import fix in model tests vs Hunyuan device-test adjustments." + }, + { + "left": "pull_request:11434", + "right": "pull_request:12070", + "accept": false, + "reason": "Import fix vs Qwen test slice update; unrelated test changes." + }, + { + "left": "pull_request:11439", + "right": "pull_request:11600", + "accept": false, + "reason": "HiDream validation bug fix vs CI failure-report filename rename." + }, + { + "left": "pull_request:11439", + "right": "pull_request:12343", + "accept": false, + "reason": "Different bugs in different modules: HiDream validation cleanup vs VAE slicing decode fix." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2479", + "accept": false, + "reason": "Different Flax example changes: text encoder loading vs LoRA support for CLIP text encoder." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11623", + "accept": false, + "reason": "Same broad docs area, but different typos in different files." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11634", + "accept": false, + "reason": "Same docs file family, but one fixes fp8 naming and the other adds a torchao link; not the same issue." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12487", + "accept": false, + "reason": "TorchAO doc typo vs broad broken-link cleanup across many docs." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12552", + "accept": false, + "reason": "TorchAO docs typo vs Kandinsky5 doc typo cleanup; unrelated." + }, + { + "left": "pull_request:11478", + "right": "pull_request:11953", + "accept": false, + "reason": "HiDream test enablement vs HiDream fast slice assertions; related project, different changes." + }, + { + "left": "pull_request:11485", + "right": "pull_request:11602", + "accept": false, + "reason": "Different pipeline additions: Flex.2 feature PR vs Sana Sprint img2img pipeline." + }, + { + "left": "pull_request:11529", + "right": "pull_request:11983", + "accept": false, + "reason": "Different documentation updates with no shared bug or code path." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11697", + "accept": false, + "reason": "Both mention compile tests, but they cover different components and fixes." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11954", + "accept": false, + "reason": "Group offloading/layerwise casting tests vs Hunyuan video test slices; unrelated." + }, + { + "left": "pull_request:1157", + "right": "pull_request:848", + "accept": false, + "reason": "Different Flax training/pipeline fixes, not the same bug." + }, + { + "left": "pull_request:11600", + "right": "pull_request:12228", + "accept": false, + "reason": "CI filename fix vs LoRA docs typo; unrelated." + }, + { + "left": "pull_request:11613", + "right": "pull_request:11979", + "accept": false, + "reason": "Both touch compile-related testing, but one reverts CI/test changes and the other adds version guards; 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": 1, + "component_count": 265, + "review_unit_index": 119, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is heterogeneous: it mixes unrelated docs edits, typo fixes, test updates, and a few code bugfixes across different subsystems and years. None of the soft-edge pairs look like the same underlying change, so they should all 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:1162", + "right": "pull_request:1360", + "accept": false, + "reason": "Both touch community-pipeline docs/README content, but one fixes links and the other adds the K-Diffusion pipeline; different changes and codepaths." + }, + { + "left": "pull_request:1162", + "right": "pull_request:925", + "accept": false, + "reason": "Link-fix docs PR vs lpw padding/weight handling bugfix; unrelated functionality." + }, + { + "left": "pull_request:11634", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are documentation link edits in quantization docs, but they update different pages and different references; not the same change." + }, + { + "left": "pull_request:1167", + "right": "pull_request:120", + "accept": false, + "reason": "Both edit README.md, but one adds an Intel XPU note while the other adds general examples; unrelated content." + }, + { + "left": "pull_request:1169", + "right": "pull_request:1601", + "accept": false, + "reason": "MPS float64 scheduler fix vs a guidance-flow bugfix in stable diffusion; different concrete bugs." + }, + { + "left": "pull_request:1171", + "right": "pull_request:3132", + "accept": false, + "reason": "Both are typo fixes, but in different files and different code paths; no shared underlying bug." + }, + { + "left": "pull_request:11715", + "right": "pull_request:11979", + "accept": false, + "reason": "Both adjust test gating, but one annotates bitsandbytes compile tests and the other enforces torch versions for compilation mixins; distinct fixes." + }, + { + "left": "pull_request:1173", + "right": "pull_request:1416", + "accept": false, + "reason": "Both involve ONNX-related code, but 1173 targets scheduler compatibility/safety checker while 1416 changes conversion/inference wiring and feature_extractor handling; not the same bug." + }, + { + "left": "pull_request:11847", + "right": "pull_request:12259", + "accept": false, + "reason": "Single-file example docs fix vs VAE scale-factor docs fix; unrelated." + }, + { + "left": "pull_request:1186", + "right": "pull_request:12259", + "accept": false, + "reason": "Dreambooth Flax report_to/push_to_hub fix is unrelated to distributed inference docs." + }, + { + "left": "pull_request:1187", + "right": "pull_request:848", + "accept": false, + "reason": "Dreambooth Flax cleanup vs Flax latent shape/height-width bugfix; different issues." + }, + { + "left": "pull_request:11953", + "right": "pull_request:12070", + "accept": false, + "reason": "Both update expected test slices, but for different models/pipelines and different failure modes." + }, + { + "left": "pull_request:11953", + "right": "pull_request:12775", + "accept": false, + "reason": "Test slice update vs adding Z-Image docs; unrelated." + }, + { + "left": "pull_request:11983", + "right": "pull_request:12827", + "accept": false, + "reason": "Installation docs wording vs distributed-inference syntax fix; unrelated docs changes." + }, + { + "left": "pull_request:120", + "right": "pull_request:16", + "accept": false, + "reason": "Both touch README.md, but they are from different eras and cover different additions; not a duplicate or same change." + }, + { + "left": "pull_request:120", + "right": "pull_request:1960", + "accept": false, + "reason": "README examples update vs ColossalAI README install instructions; different docs and scope." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12902", + "accept": false, + "reason": "Quantization overview link fix vs CP docs device_map correction; unrelated documentation issues." + }, + { + "left": "pull_request:1211", + "right": "pull_request:41", + "accept": false, + "reason": "Both touch comments/docs, but in totally different files and contexts; no shared underlying bug." + }, + { + "left": "pull_request:12129", + "right": "pull_request:12228", + "accept": false, + "reason": "Separate typo fixes in different areas (NPU attention vs LoRA tutorial); not the same change." + }, + { + "left": "pull_request:12129", + "right": "pull_request:12675", + "accept": false, + "reason": "Typos in different docs/code contexts and different files; unrelated." + }, + { + "left": "pull_request:1218", + "right": "pull_request:154", + "accept": false, + "reason": "154 introduces the original conversion script, while 1218 later extends scheduler options in that script; 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If one PR had to stand in as the most representative, PR 2009 is the most substantial and central code change, with broad impact and high review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 2009 is the strongest standalone candidate: it is a large, well-discussed feature change touching many Stable Diffusion pipeline paths, unlike the mostly narrow typo/docs fixes elsewhere in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:191", + "right": "pull_request:421", + "accept": false, + "reason": "Different bugs in different areas: SciPy import fallback for schedulers vs. a docs typo fix." + }, + { + "left": "pull_request:192", + "right": "pull_request:888", + "accept": false, + "reason": "README parameter adjustment is unrelated to adding the CycleDiffusion pipeline." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2489", + "accept": false, + "reason": "Both are docs PRs, but they cover different documentation topics and files; not the same change." + }, + { + "left": "pull_request:1932", + "right": "pull_request:3215", + "accept": false, + "reason": "DDIM loading behavior vs. 8-bit model loading checks are different code-path problems." + }, + { + "left": "pull_request:1951", + "right": "pull_request:2839", + "accept": false, + "reason": "ColossalAI dependency update is unrelated to updating the examples README." + }, + { + "left": "pull_request:1960", + "right": "pull_request:879", + "accept": false, + "reason": "Different README/documentation edits for different example areas; no shared underlying bug." + }, + { + "left": "pull_request:1995", + "right": "pull_request:3063", + "accept": false, + "reason": "A value-range message fix is unrelated to the pipeline __setattr__ null-handling bug." + }, + { + "left": "pull_request:1995", + "right": "pull_request:3099", + "accept": false, + "reason": "Different typo/behavior fixes in separate pipelines; not the same concrete issue." + }, + { + "left": "pull_request:1996", + "right": "pull_request:2733", + "accept": false, + "reason": "Both touch conversion scripts, but one adds safetensors support and the other adds fp16 output for a different conversion direction." + }, + { + "left": "pull_request:2006", + "right": "pull_request:879", + "accept": false, + "reason": "Checkpoint merger fixes are unrelated to community README table updates." + }, + { + "left": "pull_request:2009", + "right": "pull_request:3439", + "accept": false, + "reason": "Textual inversion loader integration and later state-dict support are related areas, but they fix different concrete behaviors and would not be merged as one PR." + }, + { + "left": "pull_request:2022", + "right": "pull_request:912", + "accept": false, + "reason": "K-diffusion version gating is unrelated to the version bump PR." + }, + { + "left": "pull_request:2040", + "right": "pull_request:2393", + "accept": false, + "reason": "Both add Stable Diffusion pipelines, but they are different pipelines with different code and docs." + }, + { + "left": "pull_request:2085", + "right": "pull_request:2433", + "accept": false, + "reason": "DreamBooth crop-option docs and an SDEdit note in img2img are unrelated." + }, + { + "left": "pull_request:2101", + "right": "pull_request:3863", + "accept": false, + "reason": "InstructPix2Pix docs/example update is unrelated to Habana optimization docs." + }, + { + "left": "pull_request:2118", + "right": "pull_request:3941", + "accept": false, + "reason": "Import-utils naming typo and loading-doc fix are unrelated." + }, + { + "left": "pull_request:2118", + "right": "pull_request:869", + "accept": false, + "reason": "A typo fix in import_utils is unrelated to the community pipeline import bug/README cleanup." + }, + { + "left": "pull_request:2138", + "right": "pull_request:2404", + "accept": false, + "reason": "Both are typo fixes, but they affect different symbols/files and are not the same bug." + }, + { + "left": "pull_request:2138", + "right": "pull_request:3800", + "accept": false, + "reason": "Different typo fixes in different documentation/code paths." + }, + { + "left": "pull_request:2151", + "right": "pull_request:260", + "accept": false, + "reason": "EMAModel state_dict fix is unrelated to a README typo." + }, + { + "left": "pull_request:2151", + "right": "pull_request:353", + "accept": false, + "reason": "Different typo fixes in different modules; no same underlying defect." + }, + { + "left": "pull_request:2151", + "right": "pull_request:407", + "accept": false, + "reason": "EMAModel load_state_dict bug and attention slicing typo are unrelated." + }, + { + "left": "pull_request:2151", + "right": "pull_request:798", + "accept": false, + "reason": "Unrelated typo/docstring fixes in different components." + }, + { + "left": "pull_request:2151", + "right": "pull_request:972", + "accept": false, + "reason": "EMAModel load_state_dict fix is unrelated to the torch_dtype README correction." + }, + { + "left": "pull_request:2181", + "right": "pull_request:2788", + "accept": false, + "reason": "Flax scheduler docs section and docs TOC deduplication are different documentation changes." + }, + { + "left": "pull_request:2181", + "right": "pull_request:580", + "accept": false, + "reason": "Docs for Flax scheduler usage are unrelated to an initial Flax scheduler test implementation." + }, + { + "left": "pull_request:2197", + "right": "pull_request:3839", + "accept": false, + "reason": "StableDiffusionInpaintPipeline typo/argument fix is unrelated to SDE scheduler noise handling." + }, + { + "left": "pull_request:2209", + "right": "pull_request:4317", + "accept": false, + "reason": "Incorrect img2img example argument name and DreamBooth validation option fixes 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": 265, + "review_unit_index": 123, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2257", + "pull_request:2278", + "pull_request:2287", + "pull_request:2290", + "pull_request:2320", + "pull_request:2333", + "pull_request:2362", + "pull_request:2367", + "pull_request:2383", + "pull_request:2395", + "pull_request:2396", + "pull_request:2398", + "pull_request:2400", + "pull_request:2433", + "pull_request:2446", + "pull_request:2487", + "pull_request:2498", + "pull_request:2503", + "pull_request:2530", + "pull_request:2533", + "pull_request:2536", + "pull_request:2539", + "pull_request:2557", + "pull_request:2629", + "pull_request:2762", + "pull_request:2766", + "pull_request:3079", + "pull_request:309", + "pull_request:3168", + "pull_request:3388", + "pull_request:3473", + "pull_request:3549", + "pull_request:3680", + "pull_request:3789", + "pull_request:3852", + "pull_request:386", + "pull_request:3894", + "pull_request:3941", + "pull_request:3971", + "pull_request:4546", + "pull_request:4766", + "pull_request:642", + "pull_request:796", + "pull_request:869", + "pull_request:874", + "pull_request:889", + "pull_request:934", + "pull_request:948" + ], + "soft_pairs": [ + "pull_request:2257|pull_request:874", + "pull_request:2278|pull_request:309", + "pull_request:2278|pull_request:386", + "pull_request:2287|pull_request:2629", + "pull_request:2290|pull_request:642", + "pull_request:2320|pull_request:4546", + "pull_request:2320|pull_request:948", + "pull_request:2333|pull_request:3680", + "pull_request:2362|pull_request:2766", + "pull_request:2362|pull_request:796", + "pull_request:2367|pull_request:2557", + "pull_request:2383|pull_request:889", + "pull_request:2395|pull_request:2762", + "pull_request:2396|pull_request:2530", + "pull_request:2396|pull_request:934", + "pull_request:2398|pull_request:3473", + "pull_request:2398|pull_request:3852", + "pull_request:2400|pull_request:869", + "pull_request:2433|pull_request:3388", + "pull_request:2446|pull_request:3971", + "pull_request:2487|pull_request:3549", + "pull_request:2487|pull_request:3894", + "pull_request:2487|pull_request:4766", + "pull_request:2498|pull_request:3079", + "pull_request:2503|pull_request:2766", + "pull_request:2533|pull_request:3168", + "pull_request:2536|pull_request:3789", + "pull_request:2539|pull_request:3941" + ], + "prepared_review_unit_hash": "a02786572432f35f7f5cfd83d70b7ed1d71081413d89380405670d806ef6b853", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 95371, + "estimated_input_tokens": 23843, + "estimated_eval_tokens": 47942 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated documentation, training-script, test, and pipeline PRs. I found no convincing duplicate pairs; the soft edges mostly share only broad subsystems or filenames, not the same concrete change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. As the most substantive and clearly scoped PR, #2536 is the best representative: it\u2019s merged, implements a real model feature (VAE gradient checkpointing), and has an explicit issue target.", + "best_issue_reason": null, + "best_pr_reason": "#2536 is the strongest overall PR candidate because it has the clearest concrete code change, broader impact than the docs-only fixes, and an explicit issue target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2257", + "right": "pull_request:874", + "accept": false, + "reason": "Both touch the community README, but one adds UnCLIP text interpolation while the other adds a generic community README example; different changes." + }, + { + "left": "pull_request:2278", + "right": "pull_request:309", + "accept": false, + "reason": "Completely unrelated: video stable diffusion feature work vs a README link fix." + }, + { + "left": "pull_request:2278", + "right": "pull_request:386", + "accept": false, + "reason": "Different scope and code paths; video stable diffusion work is unrelated to the Stable Diffusion docs/pipeline PR." + }, + { + "left": "pull_request:2287", + "right": "pull_request:2629", + "accept": false, + "reason": "Unconditional image generation W&B logging vs SAG non-square image support; unrelated fixes." + }, + { + "left": "pull_request:2290", + "right": "pull_request:642", + "accept": false, + "reason": "Pix2Pix docs typo fix vs an unrelated examples README link fix." + }, + { + "left": "pull_request:2320", + "right": "pull_request:4546", + "accept": false, + "reason": "Both are typo-level fixes, but in unrelated files and code paths." + }, + { + "left": "pull_request:2320", + "right": "pull_request:948", + "accept": false, + "reason": "Different targets entirely: Stable Diffusion checkpoint loader typo vs a DDPM comment typo." + }, + { + "left": "pull_request:2333", + "right": "pull_request:3680", + "accept": false, + "reason": "Unrelated docs fixes in different areas; no shared underlying change." + }, + { + "left": "pull_request:2362", + "right": "pull_request:2766", + "accept": false, + "reason": "Both relate to MPS test behavior, but one adds a skip decorator while the other changes expected outputs; not the same concrete fix." + }, + { + "left": "pull_request:2362", + "right": "pull_request:796", + "accept": false, + "reason": "MPS test skip helper vs Apple M1 test setup; not the same change." + }, + { + "left": "pull_request:2367", + "right": "pull_request:2557", + "accept": false, + "reason": "Same general DreamBooth area, but checkpoint retention support and intermediate logging are distinct features." + }, + { + "left": "pull_request:2383", + "right": "pull_request:889", + "accept": false, + "reason": "Pix2Pix Zero utility method vs generic pipeline components support; different functionality." + }, + { + "left": "pull_request:2395", + "right": "pull_request:2762", + "accept": false, + "reason": "Pix2Pix Zero docs vs ControlNet multi-conditioning docs; unrelated." + }, + { + "left": "pull_request:2396", + "right": "pull_request:2530", + "accept": false, + "reason": "Scheduler test warning fix vs EMAModel test suite addition; unrelated." + }, + { + "left": "pull_request:2396", + "right": "pull_request:934", + "accept": false, + "reason": "UniPC scheduler tests vs MPS test fixes; unrelated." + }, + { + "left": "pull_request:2398", + "right": "pull_request:3473", + "accept": false, + "reason": "Both are documentation PRs, but for different topics and different pipelines/concepts." + }, + { + "left": "pull_request:2398", + "right": "pull_request:3852", + "accept": false, + "reason": "Pix2Pix Zero inversion docs vs a contributor note in paradigms docs; no shared underlying change." + }, + { + "left": "pull_request:2400", + "right": "pull_request:869", + "accept": false, + "reason": "Both touch community README, but one adds image interpolation content while the other fixes a community import bug and finishes README text." + }, + { + "left": "pull_request:2433", + "right": "pull_request:3388", + "accept": false, + "reason": "SDEdit note in img2img docs vs installation docs update; unrelated." + }, + { + "left": "pull_request:2446", + "right": "pull_request:3971", + "accept": false, + "reason": "Different docs fixes in different sections; no common bug/change." + }, + { + "left": "pull_request:2487", + "right": "pull_request:3549", + "accept": false, + "reason": "JAX/Flax guide addition vs evaluation docs update; unrelated." + }, + { + "left": "pull_request:2487", + "right": "pull_request:3894", + "accept": false, + "reason": "Docs guide vs Flax dropout implementation; not the same concrete change." + }, + { + "left": "pull_request:2487", + "right": "pull_request:4766", + "accept": false, + "reason": "JAX/Flax guide vs Pix2Pix Zero guide; different docs topics and scopes." + }, + { + "left": "pull_request:2498", + "right": "pull_request:3079", + "accept": false, + "reason": "Both reduce attend-and-excite test cost, but they change different parameters for different test concerns; not the same underlying fix." + }, + { + "left": "pull_request:2503", + "right": "pull_request:2766", + "accept": false, + "reason": "PyTorch 2.0 docs/benchmark update vs MPS test fix; unrelated." + }, + { + "left": "pull_request:2533", + "right": "pull_request:3168", + "accept": false, + "reason": "CI/testing WIP vs documentation-builder test PR; unrelated." + }, + { + "left": "pull_request:2536", + "right": "pull_request:3789", + "accept": false, + "reason": "Both are checkpointing-related, but one enables VAE gradient checkpointing and the other targets 3D U-Net support; different code paths and changes." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3941", + "accept": false, + "reason": "Default-doc typo in pix2pix_zero vs loading docs import/address 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": 265, + "review_unit_index": 124, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2540", + "pull_request:2543", + "pull_request:2559", + "pull_request:2563", + "pull_request:2566", + "pull_request:2598", + "pull_request:2602", + "pull_request:2637", + "pull_request:2639", + "pull_request:2642", + "pull_request:2647", + "pull_request:2677", + "pull_request:2678", + "pull_request:2684", + "pull_request:2685", + "pull_request:2693", + "pull_request:2748", + "pull_request:2767", + "pull_request:2812", + "pull_request:2817", + "pull_request:2836", + "pull_request:2845", + "pull_request:2861", + "pull_request:2869", + "pull_request:2897", + "pull_request:2911", + "pull_request:2912", + "pull_request:2958", + "pull_request:3163", + "pull_request:3165", + "pull_request:3581", + "pull_request:3690", + "pull_request:3710", + "pull_request:3847", + "pull_request:3942", + "pull_request:3961", + "pull_request:4022", + "pull_request:4145", + "pull_request:4203", + "pull_request:421", + "pull_request:4275", + "pull_request:4546", + "pull_request:4564", + "pull_request:4721", + "pull_request:4853", + "pull_request:641", + "pull_request:651", + "pull_request:948" + ], + "soft_pairs": [ + "pull_request:2540|pull_request:2677", + "pull_request:2543|pull_request:651", + "pull_request:2559|pull_request:2677", + "pull_request:2559|pull_request:421", + "pull_request:2559|pull_request:4275", + "pull_request:2559|pull_request:4721", + "pull_request:2563|pull_request:4145", + "pull_request:2566|pull_request:4546", + "pull_request:2566|pull_request:948", + "pull_request:2598|pull_request:4022", + "pull_request:2598|pull_request:4203", + "pull_request:2602|pull_request:641", + "pull_request:2637|pull_request:3163", + "pull_request:2637|pull_request:3961", + "pull_request:2639|pull_request:2748", + "pull_request:2642|pull_request:3163", + "pull_request:2642|pull_request:3961", + "pull_request:2647|pull_request:3163", + "pull_request:2647|pull_request:3961", + "pull_request:2677|pull_request:2958", + "pull_request:2678|pull_request:3942", + "pull_request:2684|pull_request:3163", + "pull_request:2684|pull_request:3961", + "pull_request:2685|pull_request:3961", + "pull_request:2693|pull_request:2836", + "pull_request:2767|pull_request:3581", + "pull_request:2812|pull_request:4022", + "pull_request:2817|pull_request:3710", + "pull_request:2845|pull_request:4853", + "pull_request:2861|pull_request:3847", + "pull_request:2869|pull_request:3165", + "pull_request:2897|pull_request:3690", + "pull_request:2911|pull_request:3165", + "pull_request:2912|pull_request:3165", + "pull_request:2912|pull_request:4564" + ], + "prepared_review_unit_hash": "9ad4ca190f6014b650b6e2e412a2c963c213fe16f09e4504a67f778cdf1cfc56", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 35, + "serialized_chars": 95635, + "estimated_input_tokens": 23909, + "estimated_eval_tokens": 48074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of small docs typo/formatting edits, translation updates, test tweaks, and a few unrelated code fixes. I don\u2019t see any pair that represents the same underlying bug or change, so it should not be collapsed into one duplicate group.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster; the items span unrelated documentation edits, dependency-test changes, and separate code fixes across different subsystems.", + "best_issue_reason": null, + "best_pr_reason": "If forced to pick a representative PR, 2677 is the broadest substantive docs change, but it still only covers ControlNet training docs and does not match the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2540", + "right": "pull_request:2677", + "accept": false, + "reason": "Both touch docs, but one is a ControlNet section typo and the other adds a training-section ControlNet entry; different changes." + }, + { + "left": "pull_request:2543", + "right": "pull_request:651", + "accept": false, + "reason": "Both mention warnings/offload, but they fix different code paths: model CPU offload vs scheduler deprecation warnings." + }, + { + "left": "pull_request:2559", + "right": "pull_request:2677", + "accept": false, + "reason": "ControlNet docs format cleanup vs adding a ControlNet training doc entry; 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changes." + }, + { + "left": "pull_request:3262", + "right": "pull_request:4564", + "accept": false, + "reason": "IF renaming and SDXL ControlNet repo-name updates are separate doc/model naming changes." + }, + { + "left": "pull_request:3266", + "right": "pull_request:4796", + "accept": false, + "reason": "Dynamic module version loading fix is unrelated to SDXL type-mismatch handling." + }, + { + "left": "pull_request:3271", + "right": "pull_request:4934", + "accept": false, + "reason": "Training-doc link additions versus adding a new T2I-Adapter training script are not the same change." + }, + { + "left": "pull_request:3334", + "right": "pull_request:4910", + "accept": false, + "reason": "Docstring cleanup in pipeline_utils is unrelated to the inpainting example typo fix." + }, + { + "left": "pull_request:3345", + "right": "pull_request:4531", + "accept": false, + "reason": "README pipeline-class correction and SD reference indexing fix affect different examples and code paths." + }, 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code change." + }, + { + "left": "pull_request:3549", + "right": "pull_request:5844", + "accept": false, + "reason": "Parti prompts docs update and adding a Japanese SDXL reference are unrelated documentation additions." + }, + { + "left": "pull_request:3563", + "right": "pull_request:3690", + "accept": false, + "reason": "VQ pipeline block logic fix and Kandinsky example updates are unrelated." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4626", + "accept": false, + "reason": "Broken links in a training doc versus fixing text2image.md links are separate documentation fixes." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5411", + "accept": false, + "reason": "README link updates and a textual inversion training-doc link fix are different pages and changes." + }, + { + "left": "pull_request:3592", + "right": "pull_request:5065", + "accept": false, + "reason": "Removing debug prints from attention_processor.py is not the same as the broader typo/doc/example cleanup PR touching the same file." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 126, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3625", + "pull_request:3685", + "pull_request:3710", + "pull_request:3755", + "pull_request:3786", + "pull_request:382", + "pull_request:3839", + "pull_request:3852", + "pull_request:3903", + "pull_request:392", + "pull_request:3923", + "pull_request:3941", + "pull_request:3942", + "pull_request:3962", + "pull_request:3971", + "pull_request:3979", + "pull_request:3987", + "pull_request:3994", + "pull_request:4022", + "pull_request:406", + "pull_request:4070", + "pull_request:4082", + "pull_request:4099", + "pull_request:4113", + "pull_request:4196", + "pull_request:420", + "pull_request:4267", + "pull_request:4285", + "pull_request:4320", + "pull_request:4397", + "pull_request:4437", + "pull_request:4612", + "pull_request:4729", + "pull_request:4740", + "pull_request:4741", + "pull_request:4886", + "pull_request:4965", + "pull_request:5013", + "pull_request:5367", + "pull_request:5549", + "pull_request:5550", + "pull_request:5745", + "pull_request:5844", + "pull_request:5911", + "pull_request:5982", + "pull_request:710", + "pull_request:910" + ], + "soft_pairs": [ + "pull_request:3625|pull_request:4740", + "pull_request:3685|pull_request:5911", + "pull_request:3710|pull_request:4285", + "pull_request:3755|pull_request:3942", + "pull_request:3786|pull_request:3994", + "pull_request:382|pull_request:910", + "pull_request:3839|pull_request:4320", + "pull_request:3852|pull_request:5844", + "pull_request:3903|pull_request:5550", + "pull_request:392|pull_request:420", + "pull_request:3923|pull_request:4612", + "pull_request:3941|pull_request:4741", + "pull_request:3941|pull_request:5745", + "pull_request:3962|pull_request:4437", + "pull_request:3971|pull_request:4965", + "pull_request:3979|pull_request:4267", + "pull_request:3979|pull_request:4729", + "pull_request:3979|pull_request:5013", + "pull_request:3987|pull_request:4113", + "pull_request:4022|pull_request:5549", + "pull_request:406|pull_request:710", + "pull_request:4070|pull_request:5367", + "pull_request:4082|pull_request:5367", + "pull_request:4099|pull_request:4397", + "pull_request:4099|pull_request:4886", + "pull_request:4196|pull_request:5982" + ], + "prepared_review_unit_hash": "938525e3e1b24121024de9e9eccaf5a6902f93a5759a40bb0390fdfecd2484ae", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 90905, + "estimated_input_tokens": 22727, + "estimated_eval_tokens": 45710 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate; most are unrelated docs-only changes or distinct bug fixes in different code paths. The cluster is better treated as a loose topical grouping than a duplicate set.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5911 is the strongest representative artifact: it has an explicit issue target, substantial multi-file code change, tests, and documentation, making it the clearest standalone change in the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 5911 is the best global PR candidate because it addresses a concrete feature gap, includes implementation plus tests/docs, and is clearly scoped to one change rather than a broad or speculative cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3625", + "right": "pull_request:4740", + "accept": false, + "reason": "Unrelated changes: doc-builder workflow tweak vs safetensors dependency pin. No shared bug or code path." + }, + { + "left": "pull_request:3685", + "right": "pull_request:5911", + "accept": false, + "reason": "Different features in different areas: StableDiffusionPipeline thread inference support vs IP-Adapter face-model support." + }, + { + "left": "pull_request:3710", + "right": "pull_request:4285", + "accept": false, + "reason": "Both are docs, but for unrelated topics: image processor docs vs ONNX/OpenVINO docs." + }, + { + "left": "pull_request:3755", + "right": "pull_request:3942", + "accept": false, + "reason": "Different flaky-test fixes in different test files; not the same underlying failure." + }, + { + "left": "pull_request:3786", + "right": "pull_request:3994", + "accept": false, + "reason": "PR template addition is unrelated to adding an act_fn parameter to a model block." + }, + { + "left": "pull_request:382", + "right": "pull_request:910", + "accept": false, + "reason": "Both are docs, but one is DDPM docs and the other is initial in-painting docs; unrelated changes." + }, + { + "left": "pull_request:3839", + "right": "pull_request:4320", + "accept": false, + "reason": "Scheduler noise-handling typo fix is unrelated to an ONNX Runtime documentation typo." + }, + { + "left": "pull_request:3852", + "right": "pull_request:5844", + "accept": false, + "reason": "Different documentation updates for different subjects; no shared underlying change." + }, + { + "left": "pull_request:3903", + "right": "pull_request:5550", + "accept": false, + "reason": "PR 3903 implements Kandinsky2.2 pipelines; PR 5550 only corrects a doc checkpoint reference." + }, + { + "left": "pull_request:392", + "right": "pull_request:420", + "accept": false, + "reason": "Old conceptual docs rewrite vs optimization-section cleanup; not the same document or change." + }, + { + "left": "pull_request:3923", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs fixes in different pages; one adds an import, the other fixes links." + }, + { + "left": "pull_request:3941", + "right": "pull_request:4741", + "accept": false, + "reason": "Doc fix in loading guide vs dummy import fix for AudioLDM2; unrelated artifacts." + }, + { + "left": "pull_request:3941", + "right": "pull_request:5745", + "accept": false, + "reason": "Doc fix in loading guide vs a consistency decoder example type fix; different concerns." + }, + { + "left": "pull_request:3962", + "right": "pull_request:4437", + "accept": false, + "reason": "Docs URL correction vs consistency-model sampling bug fix; different change types and code paths." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4965", + "accept": false, + "reason": "SDXL docs/workflow update vs W\u00fcrstchen docs formatting; unrelated documentation changes." + }, + { + "left": "pull_request:3979", + "right": "pull_request:4267", + "accept": false, + "reason": "Different SDXL-related changes: a code bug in pipeline logic vs a docs image update." + }, + { + "left": "pull_request:3979", + "right": "pull_request:4729", + "accept": false, + "reason": "Different code paths: SDXL attention/offload bug vs a progress-bar update in a community example." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5013", + "accept": false, + "reason": "Both touch SDXL-adjacent code, but the bugs are different: attention processor detection vs InstructPix2Pix dtype handling." + }, + { + "left": "pull_request:3987", + "right": "pull_request:4113", + "accept": false, + "reason": "Audio Diffusion docs fix and SDXL inpaint dtype fix are unrelated." + }, + { + "left": "pull_request:4022", + "right": "pull_request:5549", + "accept": false, + "reason": "Different localization updates for different languages; not the same change." + }, + { + "left": "pull_request:406", + "right": "pull_request:710", + "accept": false, + "reason": "Toctree typo fix vs docstring formatting fix; unrelated." + }, + { + "left": "pull_request:4070", + "right": "pull_request:5367", + "accept": false, + "reason": "Minor SDXL docs tweaks vs a tutorial code sample fix; not the same underlying issue." + }, + { + "left": "pull_request:4082", + "right": "pull_request:5367", + "accept": false, + "reason": "Requirements-file change vs tutorial pipeline creation fix; unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4397", + "accept": false, + "reason": "One is an SDXL prompt-embeddings bugfix; the other is a docstring default-value correction." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4886", + "accept": false, + "reason": "Both are pipeline fixes, but they address different code paths: prompt embeddings vs safety checker handling." + }, + { + "left": "pull_request:4196", + "right": "pull_request:5982", + "accept": false, + "reason": "Both are docs, but one improves SDXL docs and the other adds SDXL Turbo docs; separate 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": 265, + "review_unit_index": 127, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:421", + "pull_request:4216", + "pull_request:4238", + "pull_request:4258", + "pull_request:4267", + "pull_request:4276", + "pull_request:4285", + "pull_request:4315", + "pull_request:4350", + "pull_request:4351", + "pull_request:4380", + "pull_request:4457", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:4582", + "pull_request:4612", + "pull_request:4626", + "pull_request:4629", + "pull_request:4652", + "pull_request:4659", + "pull_request:4661", + "pull_request:4666", + "pull_request:4684", + "pull_request:4696", + "pull_request:4712", + "pull_request:4717", + "pull_request:4965", + "pull_request:5013", + "pull_request:5104", + "pull_request:5236", + "pull_request:5309", + "pull_request:5369", + "pull_request:5454", + "pull_request:5952", + "pull_request:6197", + "pull_request:6205", + "pull_request:6217", + "pull_request:642", + "pull_request:6438", + "pull_request:6440", + "pull_request:6638", + "pull_request:6647", + "pull_request:6669", + "pull_request:6721", + "pull_request:6757", + "pull_request:6962" + ], + "soft_pairs": [ + "pull_request:421|pull_request:642", + "pull_request:4216|pull_request:4457", + "pull_request:4238|pull_request:4717", + "pull_request:4258|pull_request:5454", + "pull_request:4258|pull_request:6438", + "pull_request:4267|pull_request:6647", + "pull_request:4276|pull_request:6638", + "pull_request:4285|pull_request:4696", + "pull_request:4315|pull_request:6217", + "pull_request:4350|pull_request:4965", + "pull_request:4350|pull_request:6205", + "pull_request:4351|pull_request:6669", + "pull_request:4380|pull_request:5309", + "pull_request:4380|pull_request:5369", + "pull_request:4499|pull_request:6197", + "pull_request:4500|pull_request:6197", + "pull_request:4501|pull_request:6197", + "pull_request:4502|pull_request:6197", + "pull_request:4582|pull_request:6647", + "pull_request:4612|pull_request:4965", + "pull_request:4626|pull_request:5236", + "pull_request:4626|pull_request:6440", + "pull_request:4629|pull_request:6757", + "pull_request:4652|pull_request:5013", + "pull_request:4652|pull_request:5104", + "pull_request:4652|pull_request:6962", + "pull_request:4659|pull_request:6721", + "pull_request:4661|pull_request:6721", + "pull_request:4666|pull_request:4712", + "pull_request:4684|pull_request:5952" + ], + "prepared_review_unit_hash": "234a41c09a132d3ed5f5a85d7486d9270f0f92017c1e5d6dd2485e3c3f47c11e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 98899, + "estimated_input_tokens": 24725, + "estimated_eval_tokens": 49706 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most pairs are broad-theme or same-file coincidences, not true duplicates. I reject all soft edges and see no actual duplicate group here.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are mostly unrelated docs, tests, and feature changes that only overlap on broad SDXL/Diffusers terminology.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a strong global representative; if forced, 4502 is the broadest SDXL-related feature PR, but it still doesn't match most others closely enough to serve as a duplicate anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:421", + "right": "pull_request:642", + "accept": false, + "reason": "Both are docs, but one fixes scheduler wording and the other fixes an examples link; unrelated changes." + }, + { + "left": "pull_request:4216", + "right": "pull_request:4457", + "accept": false, + "reason": "Same TensorRT inpaint file, but the first changes timestep initialization logic and the second is a minor pipeline/example fix; not the same bug." + }, + { + "left": "pull_request:4238", + "right": "pull_request:4717", + "accept": false, + "reason": "SDXL ControlNet inference offload fix vs a docs formatting typo; different artifacts and issues." + }, + { + "left": "pull_request:4258", + "right": "pull_request:5454", + "accept": false, + "reason": "README_sdxl hyperparameter note rewrite vs a schedulers docs link tweak; unrelated." + }, + { + "left": "pull_request:4258", + "right": "pull_request:6438", + "accept": false, + "reason": "SDXL DreamBooth README note vs installation guidance for Windows Python support; not the same change." + }, + { + "left": "pull_request:4267", + "right": "pull_request:6647", + "accept": false, + "reason": "Image asset link fix in docs vs a k-diffusion test baseline update; different concerns." + }, + { + "left": "pull_request:4276", + "right": "pull_request:6638", + "accept": false, + "reason": "One adds import smoke tests, the other tests local config loading for from_single_file(); separate behaviors." + }, + { + "left": "pull_request:4285", + "right": "pull_request:4696", + "accept": false, + "reason": "ONNX/OpenVINO docs vs T2I-Adapter-XL code and tests; no shared bug or change." + }, + { + "left": "pull_request:4315", + "right": "pull_request:6217", + "accept": false, + "reason": "Both mention torch.compile, but they fix different code paths: LoRA Conv2D graph break vs Stable Video Diffusion VAE compilation." + }, + { + "left": "pull_request:4350", + "right": "pull_request:4965", + "accept": false, + "reason": "Adapter docs fp16 note vs Wuerstchen docs formatting; unrelated." + }, + { + "left": "pull_request:4350", + "right": "pull_request:6205", + "accept": false, + "reason": "Adapter docs change vs a T2I blog URL correction; different doc pages and content." + }, + { + "left": "pull_request:4351", + "right": "pull_request:6669", + "accept": false, + "reason": "Both touch README.md, but one fixes an image URL and the other updates repository counts/errata; not the same change." + }, + { + "left": "pull_request:4380", + "right": "pull_request:5309", + "accept": false, + "reason": "Minor docs edits on different pages with no shared bug or code path." + }, + { + "left": "pull_request:4380", + "right": "pull_request:5369", + "accept": false, + "reason": "General doc cleanup, but these touch different training docs and fix unrelated typos/examples." + }, + { + "left": "pull_request:4499", + "right": "pull_request:6197", + "accept": false, + "reason": "SDXL reference pipeline docs/code vs DeepCache support for Stable Diffusion; different features." + }, + { + "left": "pull_request:4500", + "right": "pull_request:6197", + "accept": false, + "reason": "Same as above: SDXL reference pipeline work is unrelated to DeepCache support." + }, + { + "left": "pull_request:4501", + "right": "pull_request:6197", + "accept": false, + "reason": "Same as above: unrelated pipeline feature vs DeepCache integration." + }, + { + "left": "pull_request:4502", + "right": "pull_request:6197", + "accept": false, + "reason": "Same as above: the merged SDXL reference PR is not the same change as DeepCache support." + }, + { + "left": "pull_request:4582", + "right": "pull_request:6647", + "accept": false, + "reason": "ControlNet SDXL docstring fix vs a k-diffusion regression test update; unrelated." + }, + { + "left": "pull_request:4612", + "right": "pull_request:4965", + "accept": false, + "reason": "Controlling-generation doc links vs Wuerstchen docs formatting; no duplicate relationship." + }, + { + "left": "pull_request:4626", + "right": "pull_request:5236", + "accept": false, + "reason": "Text2Image docs link fix vs Korean unconditional docs formatting; unrelated documentation changes." + }, + { + "left": "pull_request:4626", + "right": "pull_request:6440", + "accept": false, + "reason": "Text2Image docs link fix vs fast diffusion local-link cleanup; different pages and scopes." + }, + { + "left": "pull_request:4629", + "right": "pull_request:6757", + "accept": false, + "reason": "Long weighted prompt pipeline/docs removal vs SDXL k-diffusion sigma device fix; different code paths." + }, + { + "left": "pull_request:4652", + "right": "pull_request:5013", + "accept": false, + "reason": "LoRA SDXL test serialization tweak vs SDXL InstructPix2Pix dtype handling; unrelated." + }, + { + "left": "pull_request:4652", + "right": "pull_request:5104", + "accept": false, + "reason": "LoRA SDXL tests vs timestep-bias training arguments; different functionality." + }, + { + "left": "pull_request:4652", + "right": "pull_request:6962", + "accept": false, + "reason": "LoRA SDXL tests vs PixArt slow-test adjustments; unrelated test fixes." + }, + { + "left": "pull_request:4659", + "right": "pull_request:6721", + "accept": false, + "reason": "Both are large PRs, but one is a long-weighted-prompt pipeline replacement and the other adds AnimateDiff SDXL; different features." + }, + { + "left": "pull_request:4661", + "right": "pull_request:6721", + "accept": false, + "reason": "Same reasoning as 4659 vs 6721: unrelated feature additions with no shared code change." + }, + { + "left": "pull_request:4666", + "right": "pull_request:4712", + "accept": false, + "reason": "SDXL ControlNet LoRA support vs the tests-fetcher utility; completely different areas." + }, + { + "left": "pull_request:4684", + "right": "pull_request:5952", + "accept": false, + "reason": "Korean translation updates vs a pipeline list docs edit; same docs tree, but not the same issue 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": 265, + "review_unit_index": 128, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4696", + "pull_request:4717", + "pull_request:4740", + "pull_request:4748", + "pull_request:4796", + "pull_request:4797", + "pull_request:4822", + "pull_request:4856", + "pull_request:4869", + "pull_request:4934", + "pull_request:4946", + "pull_request:4952", + "pull_request:5013", + "pull_request:5051", + "pull_request:5065", + "pull_request:5083", + "pull_request:5085", + "pull_request:509", + "pull_request:5097", + "pull_request:5144", + "pull_request:5180", + "pull_request:5186", + "pull_request:5201", + "pull_request:5207", + "pull_request:5217", + "pull_request:5250", + "pull_request:5298", + "pull_request:5303", + "pull_request:531", + "pull_request:5332", + "pull_request:5385", + "pull_request:5505", + "pull_request:5552", + "pull_request:5679", + "pull_request:5740", + "pull_request:5818", + "pull_request:5961", + "pull_request:5986", + "pull_request:5996", + "pull_request:6018", + "pull_request:6433", + "pull_request:6511", + "pull_request:6569", + "pull_request:6604", + "pull_request:6620", + "pull_request:6647", + "pull_request:6998", + "pull_request:7050" + ], + "soft_pairs": [ + "pull_request:4696|pull_request:5207", + "pull_request:4717|pull_request:5144", + "pull_request:4740|pull_request:6018", + "pull_request:4748|pull_request:5996", + "pull_request:4796|pull_request:5303", + "pull_request:4797|pull_request:5201", + "pull_request:4822|pull_request:5217", + "pull_request:4856|pull_request:5986", + "pull_request:4856|pull_request:6604", + "pull_request:4869|pull_request:5818", + "pull_request:4934|pull_request:6569", + "pull_request:4946|pull_request:5250", + "pull_request:4952|pull_request:5180", + "pull_request:5013|pull_request:6647", + "pull_request:5051|pull_request:6620", + "pull_request:5051|pull_request:6998", + "pull_request:5051|pull_request:7050", + "pull_request:5065|pull_request:5961", + "pull_request:5083|pull_request:6433", + "pull_request:5085|pull_request:5186", + "pull_request:509|pull_request:531", + "pull_request:5097|pull_request:5679", + "pull_request:5144|pull_request:6604", + "pull_request:5180|pull_request:6998", + "pull_request:5207|pull_request:5740", + "pull_request:5298|pull_request:6511", + "pull_request:5332|pull_request:5505", + "pull_request:5385|pull_request:5552" + ], + "prepared_review_unit_hash": "bf0968ed8bb0d17224ab9232436e05e76321387aa3b65737ca8b7c9d7b30ec8a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 94462, + "estimated_input_tokens": 23616, + "estimated_eval_tokens": 47488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs, mostly small docs/typo/test fixes, with no true duplicate pair. The strongest standalone change is the SDXL type-mismatch fix in PR 4796; all soft edges should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4796 is the best anchor: it fixes a concrete runtime bug in SDXL pipelines, touches multiple affected files, and has an explicit issue target. There is no single duplicate-equivalent PR in the set, though.", + "best_issue_reason": null, + "best_pr_reason": "PR 4796 is the most substantive and representative change in the cluster, with a clear bug, code-path fix, and broader impact than the surrounding typo/docs PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4696", + "right": "pull_request:5207", + "accept": false, + "reason": "Different changes: SDXL adapter model support vs a README filename fix for training docs." + }, + { + "left": "pull_request:4717", + "right": "pull_request:5144", + "accept": false, + "reason": "Both are docs-only, but they fix different files and different issues; not the same underlying change." + }, + { + "left": "pull_request:4740", + "right": "pull_request:6018", + "accept": false, + "reason": "Unrelated: a safetensors version pin vs a temporary docs-builder text edit." + }, + { + "left": "pull_request:4748", + "right": "pull_request:5996", + "accept": false, + "reason": "Both touch setup.py, but one updates release instructions and the other edits package metadata; not the same fix." + }, + { + "left": "pull_request:4796", + "right": "pull_request:5303", + "accept": false, + "reason": "Runtime SDXL dtype fix vs docstring-only cleanup in DeepFloyd IF; different code paths and purposes." + }, + { + "left": "pull_request:4797", + "right": "pull_request:5201", + "accept": false, + "reason": "Both LoRA-related, but one fixes SGM block mapping and the other fixes xformers/LoRA processor handling; not mergeable as one change." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5217", + "accept": false, + "reason": "Same file typo territory, but one corrects a warning string and the other fixes a PEFT import path." + }, + { + "left": "pull_request:4856", + "right": "pull_request:5986", + "accept": false, + "reason": "Different docs links in different pages; no shared bug or change." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6604", + "accept": false, + "reason": "One fixes an API link, the other adds missing autodoc entries for AutoencoderKL methods." + }, + { + "left": "pull_request:4869", + "right": "pull_request:5818", + "accept": false, + "reason": "Combined pipeline tests vs workflow-matrix updates; completely different artifacts and goals." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6569", + "accept": false, + "reason": "T2I-Adapter training docs/script work vs InstructPix2Pix SDXL validation/logging refactor; unrelated changes." + }, + { + "left": "pull_request:4946", + "right": "pull_request:5250", + "accept": false, + "reason": "Both docs entries, but they add different training topics; not the same underlying change." + }, + { + "left": "pull_request:4952", + "right": "pull_request:5180", + "accept": false, + "reason": "Docstring wording update vs citation fence/doc-builder fix; unrelated." + }, + { + "left": "pull_request:5013", + "right": "pull_request:6647", + "accept": false, + "reason": "Different SDXL issues: dtype handling in InstructPix2Pix vs updated expected output in a k-diffusion test." + }, + { + "left": "pull_request:5051", + "right": "pull_request:6620", + "accept": false, + "reason": "Wuerstchen docs typos vs a script argument example fix; different changes." + }, + { + "left": "pull_request:5051", + "right": "pull_request:6998", + "accept": false, + "reason": "Unrelated docs fixes: Wuerstchen typo cleanup vs IP-Adapter callout formatting." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7050", + "accept": false, + "reason": "Different docs pages and different typo fixes; not the same bug." + }, + { + "left": "pull_request:5065", + "right": "pull_request:5961", + "accept": false, + "reason": "These are unrelated: a large mixed PR touching LoRA/docs/tests vs a minor PixArt docstring correction." + }, + { + "left": "pull_request:5083", + "right": "pull_request:6433", + "accept": false, + "reason": "Issue template guidance vs adding a new community pipeline; separate changes." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5186", + "accept": false, + "reason": "LoRA offloading compatibility fix vs FreeU proof-of-concept; different code paths and not a single mergeable fix." + }, + { + "left": "pull_request:509", + "right": "pull_request:531", + "accept": false, + "reason": "Image-loading helper introduction vs GPU test constant adjustments; unrelated." + }, + { + "left": "pull_request:5097", + "right": "pull_request:5679", + "accept": false, + "reason": "Both test-related, but one targets float16 inference regressions and the other xformers determinism; different failure modes." + }, + { + "left": "pull_request:5144", + "right": "pull_request:6604", + "accept": false, + "reason": "Sample-code parenthesis fix vs API doc generation entries; no shared underlying issue." + }, + { + "left": "pull_request:5180", + "right": "pull_request:6998", + "accept": false, + "reason": "Different docs fixes on different pages; not duplicates." + }, + { + "left": "pull_request:5207", + "right": "pull_request:5740", + "accept": false, + "reason": "README filename fix vs RealFill distributed-training code fix; unrelated." + }, + { + "left": "pull_request:5298", + "right": "pull_request:6511", + "accept": false, + "reason": "Both mention torch.compile, but one fixes LoRA conv behavior while the other fixes checkpointing/unwrapping in training; 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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": 1, + "component_count": 265, + "review_unit_index": 131, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:7156", + "pull_request:7164", + "pull_request:7206", + "pull_request:7233", + "pull_request:7235", + "pull_request:7259", + "pull_request:7291", + "pull_request:7335", + "pull_request:7384", + "pull_request:7411", + "pull_request:7451", + "pull_request:7473", + "pull_request:7495", + "pull_request:7530", + "pull_request:7542", + "pull_request:7564", + "pull_request:7590", + "pull_request:7632", + "pull_request:7747", + "pull_request:7767", + "pull_request:7832", + "pull_request:7903", + "pull_request:7916", + "pull_request:7966", + "pull_request:7977", + "pull_request:8064", + "pull_request:810", + "pull_request:822", + "pull_request:8272", + "pull_request:828", + "pull_request:8290", + "pull_request:8470", + "pull_request:8498", + "pull_request:864", + "pull_request:8702", + "pull_request:8720", + "pull_request:8908", + "pull_request:8926", + "pull_request:9021", + "pull_request:9060", + "pull_request:9077", + "pull_request:910", + "pull_request:9242", + "pull_request:9307", + "pull_request:9318", + "pull_request:9627", + "pull_request:9683" + ], + "soft_pairs": [ + "pull_request:7156|pull_request:9021", + "pull_request:7164|pull_request:7564", + "pull_request:7206|pull_request:7235", + "pull_request:7233|pull_request:8702", + "pull_request:7259|pull_request:7384", + "pull_request:7291|pull_request:7451", + "pull_request:7335|pull_request:8908", + "pull_request:7411|pull_request:9077", + "pull_request:7473|pull_request:8272", + "pull_request:7495|pull_request:8470", + "pull_request:7530|pull_request:7903", + "pull_request:7530|pull_request:8064", + "pull_request:7542|pull_request:7977", + "pull_request:7542|pull_request:8498", + "pull_request:7564|pull_request:7966", + "pull_request:7564|pull_request:8720", + "pull_request:7590|pull_request:9060", + "pull_request:7632|pull_request:8926", + "pull_request:7747|pull_request:9627", + "pull_request:7747|pull_request:9683", + "pull_request:7767|pull_request:8498", + "pull_request:7832|pull_request:9318", + "pull_request:7916|pull_request:9242", + "pull_request:7966|pull_request:8720", + "pull_request:810|pull_request:822", + "pull_request:810|pull_request:910", + "pull_request:828|pull_request:864", + "pull_request:8290|pull_request:9307" + ], + "prepared_review_unit_hash": "0c36842172030193b1db53ff0b6593eb89f41cc6365b9612d061fcc7b59aea8f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 100712, + "estimated_input_tokens": 25178, + "estimated_eval_tokens": 50612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of small, unrelated docs/tests/infra PRs. The only soft edge that looks like the same underlying code-path change is the Flax scheduler API work in PR 810 and PR 822; the rest are too broad or too different to merge as duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate nucleus stands out across the cluster; if one PR must represent it, PR 7530 is the strongest standalone candidate because it has an explicit issue target and a concrete runtime bug fix rather than a typo/doc/test-only change.", + "best_issue_reason": null, + "best_pr_reason": "PR 7530 is the best overall representative of the set because it is a substantive, code-path-focused fix with issue linkage and broader impact than the many minor documentation or test-only PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7156", + "right": "pull_request:9021", + "accept": false, + "reason": "Unrelated changes: stalebot label handling vs SD3 ControlNet layer-loading logic." + }, + { + "left": "pull_request:7164", + "right": "pull_request:7564", + "accept": false, + "reason": "Docker/CUDA version pinning is unrelated to the test/config fixes in PR 7564." + }, + { + "left": "pull_request:7206", + "right": "pull_request:7235", + "accept": false, + "reason": "Related to the same training script family, but one is model-card/tag plumbing and the other adds DoRA training support; not the same concrete change." + }, + { + "left": "pull_request:7233", + "right": "pull_request:8702", + "accept": false, + "reason": "DoRA training in SDXL dreambooth vs SD3 conversion script are distinct features with no shared bug/change." + }, + { + "left": "pull_request:7259", + "right": "pull_request:7384", + "accept": false, + "reason": "Different documentation additions for different topics (TCD-LoRA intro vs FreeInit outputs)." + }, + { + "left": "pull_request:7291", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are typo/doc cleanup, but they fix different files and different wording issues; not the same underlying change." + }, + { + "left": "pull_request:7335", + "right": "pull_request:8908", + "accept": false, + "reason": "ControlNet config test fix vs request-caching skip logic are unrelated test changes." + }, + { + "left": "pull_request:7411", + "right": "pull_request:9077", + "accept": false, + "reason": "Both are typo fixes, but they are broad, independent cleanups across different files and code paths." + }, + { + "left": "pull_request:7473", + "right": "pull_request:8272", + "accept": false, + "reason": "Missing raise statements is a behavior fix; grammatical error in raise messages is only wording." + }, + { + "left": "pull_request:7495", + "right": "pull_request:8470", + "accept": false, + "reason": "Notebook link cleanup vs README update for a different research project are unrelated docs changes." + }, + { + "left": "pull_request:7530", + "right": "pull_request:7903", + "accept": false, + "reason": "Autocast behavior in training scripts is unrelated to the video processor test change." + }, + { + "left": "pull_request:7530", + "right": "pull_request:8064", + "accept": false, + "reason": "Autocast fix in training scripts is unrelated to Marigold pipeline/test work." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7977", + "accept": false, + "reason": "CPU offload test typo vs attention typo in docs are unrelated." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8498", + "accept": false, + "reason": "CPU offload test typo vs a small README/code typo are unrelated minor fixes." + }, + { + "left": "pull_request:7564", + "right": "pull_request:7966", + "accept": false, + "reason": "Different failing tests in different subsystems; no shared underlying bug." + }, + { + "left": "pull_request:7564", + "right": "pull_request:8720", + "accept": false, + "reason": "General test/config fixes vs precision-threshold updates in slow pipeline tests are not the same issue." + }, + { + "left": "pull_request:7590", + "right": "pull_request:9060", + "accept": false, + "reason": "Python packaging/version support change vs removing a debug print are unrelated." + }, + { + "left": "pull_request:7632", + "right": "pull_request:8926", + "accept": false, + "reason": "DreamBooth VAE loading fix vs advanced LoRA checkpoint-save fix are different bugs and different scripts." + }, + { + "left": "pull_request:7747", + "right": "pull_request:9627", + "accept": false, + "reason": "VAE tiling test fix vs LoRA/DoRA warning test ordering are unrelated." + }, + { + "left": "pull_request:7747", + "right": "pull_request:9683", + "accept": false, + "reason": "VAE tiling test failure vs CogVideoX integration test naming/unskip are unrelated." + }, + { + "left": "pull_request:7767", + "right": "pull_request:8498", + "accept": false, + "reason": "PixArt sigma cleanup vs small typo correction are different changes." + }, + { + "left": "pull_request:7832", + "right": "pull_request:9318", + "accept": false, + "reason": "CI cache mount changes vs nightly token secret changes are unrelated CI updates." + }, + { + "left": "pull_request:7916", + "right": "pull_request:9242", + "accept": false, + "reason": "Ascend NPU support in one training script vs xPU test backend support are different platform work items." + }, + { + "left": "pull_request:7966", + "right": "pull_request:8720", + "accept": false, + "reason": "PixArt test expectation updates vs broader slow-pipeline precision fixes are not the same bug." + }, + { + "left": "pull_request:810", + "right": "pull_request:822", + "accept": true, + "reason": "These are the same underlying Flax scheduler API migration: both update the Stable Diffusion Flax pipeline to the newer scheduler behavior and related tests." + }, + { + "left": "pull_request:810", + "right": "pull_request:910", + "accept": false, + "reason": "Flax scheduler API migration is unrelated to the Stable Diffusion in-painting docs update." + }, + { + "left": "pull_request:828", + "right": "pull_request:864", + "accept": false, + "reason": "Both are Flax-related, but one is test completion and the other adds a scheduler helper/API; related area, not the same concrete change." + }, + { + "left": "pull_request:8290", + "right": "pull_request:9307", + "accept": false, + "reason": "HunyuanDIT refactor/docs/workflow changes are unrelated to rotary embedding refactoring." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. PR 7530 is a reasonable representative because it has an explicit issue link and a broader code-path fix, while the rest are correctly characterized as mostly unrelated docs/tests/infra changes. The lone accepted soft edge (810/822) is adequately supported as the same Flax scheduler API migration." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 132, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10122", + "pull_request:1527", + "pull_request:1564", + "pull_request:3042", + "pull_request:3298", + "pull_request:4847", + "pull_request:5188", + "pull_request:5393", + "pull_request:6752", + "pull_request:832", + "pull_request:8422", + "pull_request:8496", + "pull_request:8583", + "pull_request:8600", + "pull_request:8627", + "pull_request:8696", + "pull_request:8755", + "pull_request:8838", + "pull_request:8851", + "pull_request:889", + "pull_request:8913", + "pull_request:8926", + "pull_request:9005", + "pull_request:9021", + "pull_request:9060", + "pull_request:9070", + "pull_request:9196", + "pull_request:9249", + "pull_request:9251", + "pull_request:9257", + "pull_request:9282", + "pull_request:9286", + "pull_request:9355", + "pull_request:936", + "pull_request:9379", + "pull_request:9385", + "pull_request:9442", + "pull_request:957", + "pull_request:9571", + "pull_request:9598", + "pull_request:9620", + "pull_request:9658", + "pull_request:9699", + "pull_request:9754", + "pull_request:9832", + "pull_request:9838", + "pull_request:9860", + "pull_request:9980" + ], + "soft_pairs": [ + "pull_request:832|pull_request:957", + "pull_request:8422|pull_request:8696", + "pull_request:8496|pull_request:8755", + "pull_request:8583|pull_request:8838", + "pull_request:8600|pull_request:9980", + "pull_request:8627|pull_request:9251", + "pull_request:8838|pull_request:9249", + "pull_request:8851|pull_request:9282", + "pull_request:889|pull_request:936", + "pull_request:8913|pull_request:8926", + "pull_request:9005|pull_request:9699", + "pull_request:9021|pull_request:9838", + "pull_request:9060|pull_request:9286", + "pull_request:9070|pull_request:9754", + "pull_request:9196|pull_request:9598", + "pull_request:9355|pull_request:9832", + "pull_request:9379|pull_request:9442", + "pull_request:9385|pull_request:9571", + "pull_request:9385|pull_request:9620", + "pull_request:9385|pull_request:9658", + "pull_request:9385|pull_request:9860", + "pull_request:4847|pull_request:6752", + "pull_request:10122|pull_request:9257", + "pull_request:1527|pull_request:3298", + "pull_request:1564|pull_request:3042", + "pull_request:5188|pull_request:5393" + ], + "prepared_review_unit_hash": "d50aeacb17c7554cf373fb790d83aaef8914926fe653535335bcd0052ae06a5c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96723, + "estimated_input_tokens": 24181, + "estimated_eval_tokens": 48618 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly unrelated PRs spanning different features, docs, CI, and bug fixes. None of the soft-paired 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": "No single PR cleanly represents this cluster as a duplicate target; the items are heterogeneous. If forced to pick one representative, PR 9249 is the strongest standalone candidate because it is a substantial, self-contained feature PR with an explicit issue link and broad implementation/testing.", + "best_issue_reason": null, + "best_pr_reason": "PR 9249 is the best standalone PR in the set: it has a clear scope, an explicit issue target, and the largest coherent implementation surface among the listed PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:832", + "right": "pull_request:957", + "accept": false, + "reason": "Different bugs in different areas: Flax NSFW image blocking vs a scheduler argument cleanup in text-to-image training." + }, + { + "left": "pull_request:8422", + "right": "pull_request:8696", + "accept": false, + "reason": "Unrelated test work: subfolder loading tests versus adding flaky decorators to Marigold tests." + }, + { + "left": "pull_request:8496", + "right": "pull_request:8755", + "accept": false, + "reason": "Different code paths and goals: SD3 warning logging vs DreamBooth LoRA text-encoder training fixes." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8838", + "accept": false, + "reason": "SD3 xformers support and SD3 forward chunking are separate transformer features, not one duplicated fix." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9980", + "accept": false, + "reason": "One is DreamBooth SD3 training script maintenance; the other is LoRA conversion logic for a different model path." + }, + { + "left": "pull_request:8627", + "right": "pull_request:9251", + "accept": false, + "reason": "SD3 ControlNet docs/example work is unrelated to CI triggering patch-branch tests." + }, + { + "left": "pull_request:8838", + "right": "pull_request:9249", + "accept": false, + "reason": "A transformer utility addition and a new ControlNet training example are clearly different changes." + }, + { + "left": "pull_request:8851", + "right": "pull_request:9282", + "accept": false, + "reason": "AuraFlow docs creation and the pipelines overview table update are separate documentation changes, not the same PR." + }, + { + "left": "pull_request:889", + "right": "pull_request:936", + "accept": false, + "reason": "One adds a pipeline components API; the other splits Stable Diffusion tests/files. Different subsystems and intent." + }, + { + "left": "pull_request:8913", + "right": "pull_request:8926", + "accept": false, + "reason": "Checkpoint subfolder loading and an advanced DreamBooth LoRA save-hook fix are unrelated bugs." + }, + { + "left": "pull_request:9005", + "right": "pull_request:9699", + "accept": false, + "reason": "Both touch runners, but one rewires workflow runner groups while the other adds a new SSH runner option; not the same change." + }, + { + "left": "pull_request:9021", + "right": "pull_request:9838", + "accept": false, + "reason": "SD3 ControlNet layer-loading fix and Flux DreamBooth memory reduction are unrelated model-training changes." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9286", + "accept": false, + "reason": "Removing a debug print is not the same as exporting FluxMultiControlNetModel in __init__.py." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9754", + "accept": false, + "reason": "Flux Img2Img pipeline addition and Flux LoRA quantization training are distinct features." + }, + { + "left": "pull_request:9196", + "right": "pull_request:9598", + "accept": false, + "reason": "PixArt attention processor work and Flux LoRA test-note cleanup do not describe the same underlying fix." + }, + { + "left": "pull_request:9355", + "right": "pull_request:9832", + "accept": false, + "reason": "Adding workflow_dispatch to main GPU tests and adding quantization nightly tests are separate CI changes." + }, + { + "left": "pull_request:9379", + "right": "pull_request:9442", + "accept": false, + "reason": "Both are test-related, but one fixes Flux fast GPU tests while the other adjusts CI for deprecated attention blocks; different failure modes." + }, + { + "left": "pull_request:9385", + "right": "pull_request:9571", + "accept": false, + "reason": "Flux ControlNet Xlabs support is a new model integration; control guidance start/end is a separate behavior change in Flux ControlNet." + }, + { + "left": "pull_request:9385", + "right": "pull_request:9620", + "accept": false, + "reason": "A new Xlabs ControlNet integration is unrelated to adding interrupt support to existing ControlNet pipelines." + }, + { + "left": "pull_request:9385", + "right": "pull_request:9658", + "accept": false, + "reason": "New Xlabs ControlNet integration and a community demo script are different artifacts and not mergeable as one PR." + }, + { + "left": "pull_request:9385", + "right": "pull_request:9860", + "accept": false, + "reason": "Xlabs ControlNet support and SD3.5 ControlNet example updates are different codebases and goals." + }, + { + "left": "pull_request:4847", + "right": "pull_request:6752", + "accept": false, + "reason": "PromptFreeDiffusion and PromptDiffusion are different community research projects with different implementations." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux attention-mask plumbing and DreamBooth Flux prompt-tokenization fixes touch different code paths." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3298", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support and arbitrary aspect ratio in IF super-resolution are unrelated pipeline changes." + }, + { + "left": "pull_request:1564", + "right": "pull_request:3042", + "accept": false, + "reason": "Default accelerate config docs and minimum accelerate version bumps are related only thematically, not the same fix." + }, + { + "left": "pull_request:5188", + "right": "pull_request:5393", + "accept": false, + "reason": "Adding compute_snr utility and updating training docs with HFApi 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": 265, + "review_unit_index": 133, + 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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": 1, + "component_count": 265, + "review_unit_index": 135, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Mostly unrelated PRs across docs, tests, schedulers, and examples. The only near-match is the HunyuanVideo attention-mask area, but 10454 and 10482 still look like separate fixes rather than one mergeable PR.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "pull_request:10482 is the strongest single runtime bug fix in the cluster, but it is still not a safe canonical for the whole set because the surrounding PRs are heterogeneous and the HunyuanVideo pair is not clearly one mergeable change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5552", + "right": "pull_request:6150", + "accept": false, + "reason": "Different fixes: FreeU disable cleanup vs IP-Adapter conversion logic." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are docs, but they cover unrelated content and goals." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6643", + "accept": false, + "reason": "Separate documentation additions for different APIs/models." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8386", + "accept": false, + "reason": "Different test work on different models and failure modes." + }, + { + "left": "pull_request:6754", + "right": "pull_request:8978", + "accept": false, + "reason": "Different areas entirely: DPO loss logic vs broad DreamBooth/Imagic updates." + }, + { + "left": "pull_request:6765", + "right": "pull_request:8978", + "accept": false, + "reason": "Cache-path cleanup is unrelated to the large example/notebook overhaul." + }, + { + "left": "pull_request:6766", + "right": "pull_request:8978", + "accept": false, + "reason": "Constants/path cleanup is unrelated to the example/notebook PR." + }, + { + "left": "pull_request:6767", + "right": "pull_request:8978", + "accept": false, + "reason": "Flax loading-path fix is not the same change as the example overhaul." + }, + { + "left": "pull_request:6768", + "right": "pull_request:8978", + "accept": false, + "reason": "Configuration path handling is unrelated to the example/notebook PR." + }, + { + "left": "pull_request:6800", + "right": "pull_request:8990", + "accept": false, + "reason": "Import utility exposure vs adding a new PAG pipeline are distinct changes." + }, + { + "left": "pull_request:7247", + "right": "pull_request:8696", + "accept": false, + "reason": "Config-checking test tweaks and flaky Marigold test annotations are unrelated." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9506", + "accept": false, + "reason": "Different bug fixes in different pipelines and docs; not the same code path." + }, + { + "left": "pull_request:8322", + "right": "pull_request:8572", + "accept": false, + "reason": "Both are errata/docs-heavy, but they fix different content and scope." + }, + { + "left": "pull_request:8478", + "right": "pull_request:9620", + "accept": false, + "reason": "Different features: HunyuanDiT ControlNet support vs ControlNet interrupt support." + }, + { + "left": "pull_request:3160", + "right": "pull_request:3476", + "accept": false, + "reason": "Same broad Karras-sigmas theme, but different schedulers and implementations." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10482", + "accept": false, + "reason": "Same HunyuanVideo attention-mask area, but 10482 looks like a later shape-handling change rather than the same concrete bugfix; not clearly mergeable into one PR." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12021", + "accept": false, + "reason": "LTX model release/update vs attention-backend support are distinct changes." + }, + { + "left": "pull_request:1038", + "right": "pull_request:1147", + "accept": false, + "reason": "Same example file, but different fixes: dtype handling vs loading from subfolder." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12530", + "accept": false, + "reason": "Both xfail tests, but they target different pipelines and upstream failures." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6999", + "accept": false, + "reason": "Same SVD pipeline, but separate bugs: GPU generator support vs tensor-image preprocessing." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7941", + "accept": false, + "reason": "CI dependency install vs test slow-marker decoration are unrelated." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9601", + "accept": false, + "reason": "Different DreamBooth/SD3 training issues: VAE path loading vs VAE dtype under mixed precision." + }, + { + "left": "pull_request:11273", + "right": "pull_request:11433", + "accept": false, + "reason": "Notification bot timeout cleanup is unrelated to the test decorator rename." + }, + { + "left": "pull_request:1527", + "right": "pull_request:1913", + "accept": false, + "reason": "Related image-input area, but one fixes inpaint tensor handling while the other validates img2img input types." + }, + { + "left": "pull_request:1554", + "right": "pull_request:1968", + "accept": false, + "reason": "Docs correction vs CPU offload behavior fix are not the same change." + }, + { + "left": "pull_request:3589", + "right": "pull_request:5111", + "accept": false, + "reason": "Reference-tricks README updates and Karras-sigmas scheduler work are unrelated." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall summary is mostly grounded, but one soft-edge verdict is too strong. The 10454/10482 pair is related in the same HunyuanVideo attention-mask area, yet the packet does not clearly show they are mergeable into a single PR for the same bugfix; 10482 looks more like a later, different shape-handling change than a confirmed follow-up. For this review, that pair should stay conservative (false/uncertain) rather than accepted. The rest of the pairwise rejections are appropriately cautious." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 136, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 heterogeneous: most pairs are only superficially similar by subsystem, docs, tests, or refactoring. I found no duplicate PR pair that clearly fixes the same concrete bug/change, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out because the items span unrelated fixes across CI, docs, LoRA, pipelines, tests, and model internals.", + "best_issue_reason": null, + "best_pr_reason": "No good global PR representative; the cluster is too mixed for a single PR to summarize the underlying change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3798", + "right": "pull_request:5948", + "accept": false, + "reason": "One is comment cleanup in training scripts; the other changes a warning condition in from_pretrained. Different code paths and goals." + }, + { + "left": "pull_request:4451", + "right": "pull_request:6261", + "accept": false, + "reason": "Nightly test relocation is unrelated to the attend-and-excite pipeline refactor; no shared bug or merged change." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5788", + "accept": false, + "reason": "CPU offload/side-loading support and an LCM scheduler error message are unrelated changes." + }, + { + "left": "pull_request:5946", + "right": "pull_request:6448", + "accept": false, + "reason": "One refactors example tests; the other adjusts LoRA assertions in a different test backend. Same area, different changes." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8467", + "accept": false, + "reason": "SD3 skip-guidance batching and the SEGA pipeline fix address different pipelines and bugs." + }, + { + "left": "pull_request:10966", + "right": "pull_request:11366", + "accept": false, + "reason": "CogView4 input validation and Hidream transformer output changes are unrelated model/pipeline fixes." + }, + { + "left": "pull_request:11089", + "right": "pull_request:11841", + "accept": false, + "reason": "Both are docs-only, but they cover different topics: Wan memory optimizations vs batch inference docs." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12450", + "accept": false, + "reason": "Docker CI security hardening and CI installation cleanup are separate CI changes, not the same fix." + }, + { + "left": "pull_request:1229", + "right": "pull_request:152", + "accept": false, + "reason": "DreamBooth README install wording and local image-folder training support are unrelated." + }, + { + "left": "pull_request:12315", + "right": "pull_request:12493", + "accept": false, + "reason": "Single-scheduler LoRA test cleanup and LTX 0.9.8 feature work are not the same underlying change." + }, + { + "left": "pull_request:1468", + "right": "pull_request:3298", + "accept": false, + "reason": "Saving trained betas in schedulers is unrelated to arbitrary aspect-ratio support in IF super-resolution." + }, + { + "left": "pull_request:1913", + "right": "pull_request:3536", + "accept": false, + "reason": "Input-type validation for img2img and PIL normalization fixes in IF super-resolution are different bugs and pipelines." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2706", + "accept": false, + "reason": "UNet block tests and EMA save/restore in training are not the same code-path problem." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3298", + "accept": false, + "reason": "ControlNet local dataset loading and IF aspect-ratio handling are unrelated." + }, + { + "left": "pull_request:2968", + "right": "pull_request:788", + "accept": false, + "reason": "Both touch img2img-related code, but one fixes post-processing flow while the other addresses PIL resampling warnings and image handling; not the same change." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5792", + "accept": false, + "reason": "Removing a transformers install requirement and fixing import paths are separate dependency/import cleanups." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8510", + "accept": false, + "reason": "A README learning-rate tweak is not the same as changing LR scheduler math in DreamBooth advanced training." + }, + { + "left": "pull_request:6904", + "right": "pull_request:8937", + "accept": false, + "reason": "Adding PIL-image support to load_image and AuraFlow long-prompt handling are unrelated." + }, + { + "left": "pull_request:7044", + "right": "pull_request:8761", + "accept": false, + "reason": "A UNet refactor re-addition and a Hunyuan embedding refactor are different internal model changes." + }, + { + "left": "pull_request:7455", + "right": "pull_request:8512", + "accept": false, + "reason": "Removing distutils and deleting a deprecated mask-prep helper are different maintenance changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12315", + "accept": false, + "reason": "Musubi Wan LoRA support and a LoRA test scheduler simplification do not fix the same bug or feature." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7277", + "accept": false, + "reason": "Both mention typos, but 7277 is a broader docs/test parameter update; they are not the same underlying change set." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3037", + "accept": false, + "reason": "UNet3D norm-group test adjustment and skipping an unstable MPS test are unrelated test maintenance changes." + }, + { + "left": "pull_request:3499", + "right": "pull_request:3632", + "accept": false, + "reason": "Panorama dpmsolver bug fix and support for batched panorama views are different pipeline changes." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10968", + "accept": false, + "reason": "Both are LTX-related, but 10968 is a later release/follow-up with new condition pipeline and conversion changes, not the same concrete 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": 265, + "review_unit_index": 137, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 highly heterogeneous: it mixes unrelated feature additions, docs updates, test tweaks, style fixes, and bug fixes. None of the soft-edge pairs look like the same underlying change, so there is no credible duplicate canonical PR here.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the cluster because the items are not one bug/change family; they span many unrelated subsystems and docs-only updates.", + "best_issue_reason": null, + "best_pr_reason": "No valid global best PR for deduplication: any choice would be arbitrary because the cluster is not a true duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10537", + "right": "pull_request:11142", + "accept": false, + "reason": "Different Sana workstreams: Sana-4K PAG/docs changes vs Sana-Sprint converter fixes." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3928", + "accept": false, + "reason": "Both touch schedulers, but one fixes config switching while the other fixes ControlNet timestep gating; different bugs." + }, + { + "left": "pull_request:6311", + "right": "pull_request:6405", + "accept": false, + "reason": "Unrelated docs changes: a fast-diffusion tutorial vs a doc-builder workflow tweak." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4819", + "accept": false, + "reason": "SDXL single-file/inpainting support overlap only superficially; these fix different code paths." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13022", + "accept": false, + "reason": "Test fixture change for Audioldm2 vs Dockerfile CUDA dependency fix; unrelated." + }, + { + "left": "pull_request:10943", + "right": "pull_request:10981", + "accept": false, + "reason": "Separate LoRA feature additions for Wan and CogView4; not one mergeable change." + }, + { + "left": "pull_request:10326", + "right": "pull_request:11252", + "accept": false, + "reason": "MPS workflow quoting fix vs branch timeout constant change; unrelated." + }, + { + "left": "pull_request:10478", + "right": "pull_request:11434", + "accept": false, + "reason": "Style cleanup across pipelines vs a test import fix; not the same change." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3708", + "accept": false, + "reason": "ControlNet local dataset loading vs version-sorting utility fix; completely different areas." + }, + { + "left": "pull_request:382", + "right": "pull_request:401", + "accept": false, + "reason": "Different docs pages for different pipelines (DDPM vs Stochastic Karras VE)." + }, + { + "left": "pull_request:4112", + "right": "pull_request:5747", + "accept": false, + "reason": "DreamBooth LoRA rank support vs adding data_dir to dataset loading; unrelated." + }, + { + "left": "pull_request:5393", + "right": "pull_request:5407", + "accept": false, + "reason": "HFApi training docs update vs mixed-precision training fix in a different example." + }, + { + "left": "pull_request:5952", + "right": "pull_request:6065", + "accept": false, + "reason": "Both are docs list updates, but they add different pipelines and don't share an underlying bug." + }, + { + "left": "pull_request:8618", + "right": "pull_request:8722", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor change vs embeddings refactor; different code paths." + }, + { + "left": "pull_request:10140", + "right": "pull_request:10430", + "accept": false, + "reason": "ConsisID feature PR vs TeaCache hook implementation; unrelated." + }, + { + "left": "pull_request:6308", + "right": "pull_request:7461", + "accept": false, + "reason": "PEFT LoRA test scaffolding vs a str_to_bool utility relocation; unrelated." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7771", + "accept": false, + "reason": "Single-file config tuple handling vs marking a ControlNetXS test flaky; different test concerns." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8652", + "accept": false, + "reason": "Both add new models, but OmniGen and Lumina-T2X are distinct features with different code bases." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10837", + "accept": false, + "reason": "Hunyuan attention-mask bug fix vs SkyReels Hunyuan feature integration; not the same issue." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9918", + "accept": false, + "reason": "Community example addition vs server example addition; different features." + }, + { + "left": "pull_request:11052", + "right": "pull_request:11089", + "accept": false, + "reason": "CUDA test-compat decorator vs Wan documentation updates; unrelated." + }, + { + "left": "pull_request:11091", + "right": "pull_request:12086", + "accept": false, + "reason": "Flux remote-encode changes vs modular Flux I2I support; different concrete changes." + }, + { + "left": "pull_request:12005", + "right": "pull_request:12420", + "accept": false, + "reason": "Sharded-checkpoint local_files_only behavior vs conditional torch.distributed import; unrelated." + }, + { + "left": "pull_request:12137", + "right": "pull_request:13081", + "accept": false, + "reason": "Parallel-loading constant refactor vs Qwen contiguous-tensor 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": 265, + "review_unit_index": 138, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11979", + "pull_request:1215", + "pull_request:12736", + "pull_request:12812", + "pull_request:13120", + "pull_request:13150", + "pull_request:13280", + "pull_request:13472", + "pull_request:1468", + "pull_request:152", + "pull_request:1525", + "pull_request:1554", + "pull_request:1920", + "pull_request:1937", + "pull_request:2655", + "pull_request:2693", + "pull_request:2892", + "pull_request:2928", + "pull_request:2970", + "pull_request:2983", + "pull_request:3001", + "pull_request:3054", + "pull_request:3292", + "pull_request:3321", + "pull_request:3397", + "pull_request:3476", + "pull_request:3536", + "pull_request:3561", + "pull_request:3657", + "pull_request:3708", + "pull_request:3746", + "pull_request:402", + "pull_request:4112", + "pull_request:4396", + "pull_request:4787", + "pull_request:4887", + "pull_request:4963", + "pull_request:51", + "pull_request:5298", + "pull_request:530", + "pull_request:5331", + "pull_request:5407", + "pull_request:5559", + "pull_request:5946", + "pull_request:6114", + "pull_request:788", + "pull_request:8563", + "pull_request:9721" + ], + "soft_pairs": [ + "pull_request:13120|pull_request:13150", + "pull_request:13120|pull_request:13472", + "pull_request:1468|pull_request:2892", + "pull_request:152|pull_request:788", + "pull_request:1525|pull_request:51", + "pull_request:1554|pull_request:2655", + "pull_request:1554|pull_request:402", + "pull_request:1920|pull_request:402", + "pull_request:1937|pull_request:3536", + "pull_request:2693|pull_request:3708", + "pull_request:2928|pull_request:3657", + "pull_request:2970|pull_request:4396", + "pull_request:2983|pull_request:4963", + "pull_request:3054|pull_request:3321", + "pull_request:3292|pull_request:4887", + "pull_request:3321|pull_request:5407", + "pull_request:3397|pull_request:3746", + "pull_request:3561|pull_request:4112", + "pull_request:4787|pull_request:5946", + "pull_request:5298|pull_request:5331", + "pull_request:8563|pull_request:9721", + "pull_request:1215|pull_request:530", + "pull_request:3001|pull_request:3476", + "pull_request:11979|pull_request:12736", + "pull_request:5559|pull_request:6114", + "pull_request:12812|pull_request:13280" + ], + "prepared_review_unit_hash": "adc71b3a1b66e61df9c750a909817f6ae39384ca9cfdb7ffcc7b9ea8772125fb", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 99718, + "estimated_input_tokens": 24930, + "estimated_eval_tokens": 50116 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate pairs here: the cluster is a grab-bag of unrelated PRs across docs, tests, schedulers, loaders, examples, and attention backends. Similarity is mostly superficial (same subsystem or generic fix wording), not the same underlying change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate anchor. If one must represent the cluster, 12812 is the most central/core change because it modifies attention dispatch infrastructure rather than a narrow test or doc tweak.", + "best_issue_reason": null, + "best_pr_reason": "12812 is the strongest representative of the cluster\u2019s core code changes; the rest are mostly smaller, unrelated maintenance or feature PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13120", + "right": "pull_request:13150", + "accept": false, + "reason": "Different test concerns: AutoModel load-id tagging vs user-controlled recompile_limit. Same test area, but not the same bug or change." + }, + { + "left": "pull_request:13120", + "right": "pull_request:13472", + "accept": false, + "reason": "Test addition for modular pipelines vs docs warning about float64. No shared code path or concrete fix." + }, + { + "left": "pull_request:1468", + "right": "pull_request:2892", + "accept": false, + "reason": "Unrelated fixes: saving trained betas in schedulers/config vs upscaler input validation. Different code paths and symptoms." + }, + { + "left": "pull_request:152", + "right": "pull_request:788", + "accept": false, + "reason": "Training data-folder support vs PIL resampler warning fixes in img2img/inpaint. Both docs/examples adjacent, but not the same change." + }, + { + "left": "pull_request:1525", + "right": "pull_request:51", + "accept": false, + "reason": "Upscaling batch-size bugfix vs setup.py dependency pin. Entirely different domains." + }, + { + "left": "pull_request:1554", + "right": "pull_request:2655", + "accept": false, + "reason": "Docs correction for UNet hidden-state shapes vs LoRA save/load logic. Not the same underlying issue." + }, + { + "left": "pull_request:1554", + "right": "pull_request:402", + "accept": false, + "reason": "Two separate documentation updates in different files and topics; no duplicate change." + }, + { + "left": "pull_request:1920", + "right": "pull_request:402", + "accept": false, + "reason": "Docs addition for translation workflow vs docs intro/toctree restructuring. Different pages and goals." + }, + { + "left": "pull_request:1937", + "right": "pull_request:3536", + "accept": false, + "reason": "EMA extraction logic vs PIL normalization in IF super-resolution. Different pipelines and bugs." + }, + { + "left": "pull_request:2693", + "right": "pull_request:3708", + "accept": false, + "reason": "A single broken image link fix vs version-sorting code change. No overlap beyond being small maintenance PRs." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3657", + "accept": false, + "reason": "Both touch ControlNet-related code, but one adds local dataset loading while the other adjusts checkpoint parser arguments. Distinct fixes." + }, + { + "left": "pull_request:2970", + "right": "pull_request:4396", + "accept": false, + "reason": "Variable rename in a DreamBooth example vs a broad prompt-encoding behavior change across many pipelines. Not the same code-path problem." + }, + { + "left": "pull_request:2983", + "right": "pull_request:4963", + "accept": false, + "reason": "Test dependency instructions vs installing accelerate main in CI/workflows. Different operational fixes." + }, + { + "left": "pull_request:3054", + "right": "pull_request:3321", + "accept": false, + "reason": "Separate documentation updates for different sections; no shared underlying bug or feature." + }, + { + "left": "pull_request:3292", + "right": "pull_request:4887", + "accept": false, + "reason": "Input perturbation in text-to-image training vs removing a latent input from a Kandinsky prior pipeline. Different models and behaviors." + }, + { + "left": "pull_request:3321", + "right": "pull_request:5407", + "accept": false, + "reason": "Docs table update vs mixed-precision training example fix. No concrete duplicate change." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3746", + "accept": false, + "reason": "A documentation note about local directory paths vs code fixing path joining in from_ckpt. Related wording, but not the same bugfix." + }, + { + "left": "pull_request:3561", + "right": "pull_request:4112", + "accept": false, + "reason": "Both DreamBooth-adjacent, but one is IF stage II upscaling and the other adds LoRA rank handling. Different features and code paths." + }, + { + "left": "pull_request:4787", + "right": "pull_request:5946", + "accept": false, + "reason": "LoRA weight-file selection logic vs example test refactor. Not the same change." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5331", + "accept": false, + "reason": "LoRA conv torch.compile fix vs switching examples to LoRALinear. Both LoRA-related, but they fix different concrete problems." + }, + { + "left": "pull_request:8563", + "right": "pull_request:9721", + "accept": false, + "reason": "Different dependency pins in different build environments; no shared bug or merged change." + }, + { + "left": "pull_request:1215", + "right": "pull_request:530", + "accept": false, + "reason": "DDIM eta/cpu-generator fix vs img2img test assertion adjustment. Different artifacts and failures." + }, + { + "left": "pull_request:3001", + "right": "pull_request:3476", + "accept": false, + "reason": "Same broad scheduler family and Karras concept, but they target different scheduler classes and code paths. Too broad to merge as duplicates." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12736", + "accept": false, + "reason": "Torch version gating in tests vs enabling regional compilation on a specific model. Related compilation theme, but not the same bug or change." + }, + { + "left": "pull_request:5559", + "right": "pull_request:6114", + "accept": false, + "reason": "New Latent Consistency img2img pipeline vs LPW support for img2img/inpaint. Distinct features." + }, + { + "left": "pull_request:12812", + "right": "pull_request:13280", + "accept": false, + "reason": "Both touch attention backends, but one adds CP/wrappers for kernels-based backends while the other adds FlashAttention-4 support. Different backend work 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": 265, + "review_unit_index": 139, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "These pull requests are mostly unrelated one-off changes across different subsystems, docs, tests, and model features. None of the soft-edge pairs looks like the same underlying bug or change, so they should remain separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the items span unrelated areas (Flux/ControlNet, Wan, docs, tests, hooks, schedulers), so there is no single underlying change to collapse them into.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR for deduping; if forced to pick a representative, PR 11916 is the broadest substantive code change, but it is still not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12419", + "right": "pull_request:13169", + "accept": false, + "reason": "Both touch Flux-related code, but one is modular-pipeline Mellon metadata and the other is LoRA format conversion for Flux Klein; different change targets and bug classes." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9638", + "accept": false, + "reason": "Both involve Flux controlnets, but they add support for different controlnet families and modify overlapping files for different features." + }, + { + "left": "pull_request:10200", + "right": "pull_request:9307", + "accept": false, + "reason": "Unrelated changes: a Stable Diffusion XL ControlNet Union refactor versus rotary embedding CPU/device handling." + }, + { + "left": "pull_request:10704", + "right": "pull_request:11455", + "accept": false, + "reason": "Documentation for img2img versus training interpolation-mode behavior; different files, purpose, and code paths." + }, + { + "left": "pull_request:10704", + "right": "pull_request:11465", + "accept": false, + "reason": "Same as above: img2img docs are unrelated to LoRA SDXL training interpolation settings." + }, + { + "left": "pull_request:10850", + "right": "pull_request:12092", + "accept": false, + "reason": "Hook helper utilities are unrelated to GGUF documentation and checkpoint examples." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9696", + "accept": false, + "reason": "ConsisID import fixes and PR test-workflow changes address completely different problems." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12236", + "accept": false, + "reason": "Shared attention-related files, but one is a large Flux/Chroma refactor and the other adds hub-backed FA3 kernel support; not the same concrete fix." + }, + { + "left": "pull_request:130", + "right": "pull_request:1513", + "accept": false, + "reason": "Both mention Accelerate setup in docs, but they update different example READMEs and solve different documentation gaps." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3561", + "accept": false, + "reason": "One fixes batch sizing in the upscaler pipeline; the other is DreamBooth IF stage II training/upscaling work. Different code paths." + }, + { + "left": "pull_request:2314", + "right": "pull_request:689", + "accept": false, + "reason": "One corrects test expectations; the other changes attention implementation for performance. Not the same bug or change." + }, + { + "left": "pull_request:2968", + "right": "pull_request:748", + "accept": false, + "reason": "Post-processing logic in img2img pipelines versus push_to_hub call cleanup in training scripts; unrelated." + }, + { + "left": "pull_request:388", + "right": "pull_request:390", + "accept": false, + "reason": "Different documentation pages for different pipeline families; no shared underlying issue." + }, + { + "left": "pull_request:4262", + "right": "pull_request:6450", + "accept": false, + "reason": "Both are LoRA-related, but one is SDXL DreamBooth fixes and the other is a LoRA deprecation/test cleanup effort." + }, + { + "left": "pull_request:4347", + "right": "pull_request:6305", + "accept": false, + "reason": "A step-index counter change in schedulers is not the same as adding rescale_betas_zero_snr support to DDPMScheduler." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7319", + "accept": false, + "reason": "Separate documentation additions for IP-Adapter and EDM schedulers; different APIs and topics." + }, + { + "left": "pull_request:6450", + "right": "pull_request:7007", + "accept": false, + "reason": "Both touch LoRA, but one is a deprecation/test cleanup and the other starts deprecating LoRAAttnProcessor; not the same concrete change." + }, + { + "left": "pull_request:6886", + "right": "pull_request:6994", + "accept": false, + "reason": "These are opposite-direction loader changes around dtype handling and single-file conversion; not duplicates." + }, + { + "left": "pull_request:7115", + "right": "pull_request:7652", + "accept": false, + "reason": "Docker JAX/TPU dependency cleanup versus buildx workflow enforcement are unrelated infrastructure changes." + }, + { + "left": "pull_request:8600", + "right": "pull_request:8860", + "accept": false, + "reason": "Code update for SD3 DreamBooth LoRA versus a README-only update; different artifacts and purposes." + }, + { + "left": "pull_request:12004", + "right": "pull_request:12074", + "accept": false, + "reason": "Wan2.2 model/pipeline support and Wan2.2 LoRA loader support are related ecosystem work, but they solve different problems and would not merge into one PR." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12419", + "accept": false, + "reason": "Both are Flux modular-pipeline related, but one adds the modular Flux pipeline and the other adjusts field annotations for Mellon compatibility; 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unrelated." + }, + { + "left": "pull_request:1137", + "right": "pull_request:51", + "accept": false, + "reason": "Different eras and bugs: dtype cast in safety checker versus install_requires typo." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12363", + "accept": false, + "reason": "Intel Gaudi doc rename versus QwenImage Edit Plus docs/tests; no common issue." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12491", + "accept": false, + "reason": "Docker build script security cleanup versus documentation link-check CI; both CI-related but not same change." + }, + { + "left": "pull_request:13081", + "right": "pull_request:13330", + "accept": false, + "reason": "Qwen hidden-state contiguity fix versus torchao test backend updates; one is a model bug, the other is test infrastructure." + }, + { + "left": "pull_request:1338", + "right": "pull_request:748", + "accept": false, + "reason": "ONNX inpainting cast order fix versus push_to_hub API cleanup; unrelated pipeline bug and training utility fix." + }, + { + "left": "pull_request:1508", + "right": "pull_request:152", + "accept": false, + "reason": "DreamBooth prior-preservation docs clarification versus local image-folder training support; 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None of the suggested soft edges looks like the same underlying change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are too heterogeneous and do not converge on one concrete bug or feature change.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative; the cluster is a mix of unrelated changes, so any one choice would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3410", + "right": "pull_request:3846", + "accept": false, + "reason": "Both touch training utilities, but one fixes DeepSpeed plugin retrieval and the other changes random-module seeding; different bugs and code paths." + }, + { + "left": "pull_request:4622", + "right": "pull_request:4635", + "accept": false, + "reason": "Docs-only similarity is too broad; PushToHub docs and MultiControlNet docs/example are unrelated changes." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5439", + "accept": false, + "reason": "One fixes an argument parsing interface in a training script, the other fixes tokenizer/config loading in from_single_file; 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"left": "pull_request:4187", + "right": "pull_request:5456", + "accept": false, + "reason": "DPMSolverMultistep scheduler change vs RealFill feature addition; unrelated." + }, + { + "left": "pull_request:453", + "right": "pull_request:51", + "accept": false, + "reason": "Install docs typo vs setup.py dependency pin fix; similar theme but different artifacts and fixes." + }, + { + "left": "pull_request:5837", + "right": "pull_request:6915", + "accept": false, + "reason": "Textual inversion multi-token support vs attention processor signature handling; unrelated." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8425", + "accept": false, + "reason": "Torch-compile SVD VAE fix vs workflow rename; unrelated." + }, + { + "left": "pull_request:6972", + "right": "pull_request:8422", + "accept": false, + "reason": "IPAdapter unload test expectation vs subfolder-loading test suite; different test goals." + }, + { + "left": "pull_request:886", + "right": "pull_request:934", + 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not the same fix." + }, + { + "left": "pull_request:689", + "right": "pull_request:816", + "accept": false, + "reason": "Attention implementation/performance tweak and Deepspeed training compatibility are different issues." + }, + { + "left": "pull_request:7116", + "right": "pull_request:7662", + "accept": false, + "reason": "Both are workflow changes, but one switches install tooling broadly while the other removes an unnecessary apt install in one job." + }, + { + "left": "pull_request:7295", + "right": "pull_request:8719", + "accept": false, + "reason": "UNet single-file loader cleanup and VQModelOutput deprecation adjustments are unrelated." + }, + { + "left": "pull_request:7778", + "right": "pull_request:9696", + "accept": false, + "reason": "Debug SSH workflow and test-from-PR workflow are different CI features." + }, + { + "left": "pull_request:8618", + "right": "pull_request:8627", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor and SD3 controlnet model/pipeline additions are separate feature sets." + }, + { + "left": "pull_request:8652", + "right": "pull_request:9918", + "accept": false, + "reason": "Lumina-T2X integration and server example docs/code are unrelated additions." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9323", + "accept": false, + "reason": "Transformer_flux cleanup and single-file repo defaults are unrelated." + }, + { + "left": "pull_request:11797", + "right": "pull_request:11950", + "accept": false, + "reason": "Different quantization backends and code paths: Higgs vs SVDQuant." + }, + { + "left": "pull_request:11534", + "right": "pull_request:12591", + "accept": false, + "reason": "Framepack docs/pipeline work is unrelated to attention-dispatch support in Hunyuan Video." + }, + { + "left": "pull_request:10387", + "right": "pull_request:9489", + "accept": false, + "reason": "Both are SD3 controlnet-related, but one adds custom-data multi-process loading while the other fixes training bugs and DDP settings; 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": 265, + "review_unit_index": 154, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10576", + "pull_request:11039", + "pull_request:1128", + "pull_request:11290", + "pull_request:11583", + "pull_request:11595", + "pull_request:11614", + "pull_request:11618", + "pull_request:11655", + "pull_request:11699", + "pull_request:12277", + "pull_request:12331", + "pull_request:12397", + "pull_request:12419", + "pull_request:12451", + "pull_request:12806", + "pull_request:13164", + "pull_request:13165", + "pull_request:13280", + "pull_request:13454", + "pull_request:2040", + "pull_request:2795", + "pull_request:3852", + "pull_request:3912", + "pull_request:3928", + "pull_request:4248", + "pull_request:4301", + "pull_request:4352", + "pull_request:4744", + "pull_request:5157", + "pull_request:5299", + "pull_request:5771", + "pull_request:5943", + "pull_request:6003", + "pull_request:6014", + "pull_request:6241", + "pull_request:6484", + "pull_request:6787", + "pull_request:6961", + "pull_request:7134", + "pull_request:7158", + "pull_request:7638", + "pull_request:7650", + "pull_request:8290", + "pull_request:8684", + "pull_request:8685", + "pull_request:8761" + ], + "soft_pairs": [ + "pull_request:11614|pull_request:12397", + "pull_request:11655|pull_request:12419", + "pull_request:11699|pull_request:12331", + "pull_request:12331|pull_request:13165", + "pull_request:13164|pull_request:13454", + "pull_request:2795|pull_request:3912", + "pull_request:3928|pull_request:4248", + "pull_request:5299|pull_request:7134", + "pull_request:5771|pull_request:6961", + "pull_request:5943|pull_request:7650", + "pull_request:8290|pull_request:8761", + "pull_request:11290|pull_request:12451", + "pull_request:3852|pull_request:4744", + "pull_request:4301|pull_request:4352", + "pull_request:5157|pull_request:7158", + "pull_request:6014|pull_request:7638", + "pull_request:8684|pull_request:8685", + "pull_request:6241|pull_request:6787", + "pull_request:10576|pull_request:11595", + "pull_request:11039|pull_request:12277", + "pull_request:11583|pull_request:11618", + "pull_request:6003|pull_request:6484", + "pull_request:12806|pull_request:13280", + "pull_request:1128|pull_request:2040" + ], + "prepared_review_unit_hash": "192fd6f13b4fbf1fd4b81d45f5b9989833da0456d9aaffe01cf0909b672e4d9e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 95733, + "estimated_input_tokens": 23934, + "estimated_eval_tokens": 48124 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs spanning docs, CI, LoRA, and pipeline fixes. 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not duplicate fixes." + }, + { + "left": "pull_request:11290", + "right": "pull_request:12451", + "accept": false, + "reason": "Different Dockerfiles and different fixes: torch version unpinning vs adding zip/wget." + }, + { + "left": "pull_request:3852", + "right": "pull_request:4744", + "accept": false, + "reason": "Separate documentation updates for different pipeline topics." + }, + { + "left": "pull_request:4301", + "right": "pull_request:4352", + "accept": false, + "reason": "Kandinsky docs update vs combined-pipeline API fixes; related domain, different change." + }, + { + "left": "pull_request:5157", + "right": "pull_request:7158", + "accept": false, + "reason": "LoRA conversion logic and benchmark cleanup do not fix the same problem." + }, + { + "left": "pull_request:6014", + "right": "pull_request:7638", + "accept": false, + "reason": "Both touch CONTRIBUTING.md link text, but they are not the same exact change and one also includes unrelated Makefile cleanup." + }, + { + "left": "pull_request:8684", + "right": "pull_request:8685", + "accept": false, + "reason": "Different docs/code fixes in separate files: Pillow import vs float8 note." + }, + { + "left": "pull_request:6241", + "right": "pull_request:6787", + "accept": false, + "reason": "A runtime dtype mismatch bug and a Marigold input-range fix are unrelated." + }, + { + "left": "pull_request:10576", + "right": "pull_request:11595", + "accept": false, + "reason": "8-bit LoRA loading test addition and Flux LoRA loader fix are related only by LoRA; not the same concrete bug." + }, + { + "left": "pull_request:11039", + "right": "pull_request:12277", + "accept": false, + "reason": "Torch dtype/quantization handling and disabling xformers tests in some pipelines are unrelated." + }, + { + "left": "pull_request:11583", + "right": "pull_request:11618", + "accept": false, + "reason": "Both are docs/navigation changes, but one removes a tutorial page and the other updates PyTorch 2.0 docs links/content." + }, + { + "left": "pull_request:6003", + "right": "pull_request:6484", + "accept": false, + "reason": "Both are Stable Video Diffusion related, but one is an inpaint WIP and the other fixes GPU generators; not the same bug." + }, + { + "left": "pull_request:12806", + "right": "pull_request:13280", + "accept": false, + "reason": "Distributed logging/progress handling and FlashAttention-4 support are completely different changes." + }, + { + "left": "pull_request:1128", + "right": "pull_request:2040", + "accept": false, + "reason": "Inpaint tensor-input support and adding InstructPix2Pix are different pipeline features, not 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": 1, + "component_count": 265, + "review_unit_index": 155, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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: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: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:9077", + "pull_request:9175", + "pull_request:9234", + "pull_request:9542", + "pull_request:9721", + "pull_request:9739", + "pull_request:9840", + "pull_request:9843", + "pull_request:9896", + "pull_request:9934" + ], + "soft_pairs": [ + "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", + "pull_request:10218|pull_request:9077", + "pull_request:10218|pull_request:9739" + ], + "prepared_review_unit_hash": "ed7f81e62309902f57d6b74f50524e97d2a35d0bb9db458b8b468c9cb5e746e0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 104203, + "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 noisy mix of unrelated PRs that only look similar at a broad subsystem level (model loading, Flux/Wan, ControlNet, docs, tests). None of the soft-edge pairs look like the same underlying change, so I would not merge any of them into a duplicate cluster.", + "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:11904", + "right": "pull_request:12028", + "accept": false, + "reason": "Both touch loading utilities, but 11904 is a non-blocking single-file load speedup while 12028 is parallel shard loading; different mechanisms and bug targets." + }, + { + "left": "pull_request:7476", + "right": "pull_request:9234", + "accept": false, + "reason": "7476 fixes ControlNetUnion callback behavior in SDXL inpaint; 9234 fixes a safetensors compatibility regression. Same area, different problem." + }, + { + "left": "pull_request:11639", + "right": "pull_request:11913", + "accept": false, + "reason": "11639 changes Wan video-to-video latent sampling; 11913 adds the Wan modular pipeline. Not the same code-path or change." + }, + { + "left": "pull_request:10192", + "right": "pull_request:10728", + "accept": false, + "reason": "10192 adds Flux Control/Inpaint support; 10728 changes Flux IP-Adapter handling for quantized models. Different features and fixes." + }, + { + "left": "pull_request:5448", + "right": "pull_request:6752", + "accept": false, + "reason": "Both add new research pipelines, but they are entirely different models and implementations, not the same underlying change." + }, + { + "left": "pull_request:12249", + "right": "pull_request:12416", + "accept": false, + "reason": "12249 adds Step1X-Edit; 12416 adds QwenImage Edit Plus modular support. Distinct pipelines/models." + }, + { + "left": "pull_request:5887", + "right": "pull_request:6868", + "accept": false, + "reason": "5887 adds IP-Adapter to ControlNet inpaint, while 6868 propagates ip_adapter_image_embeds through SD pipelines generally. Related topic, but not the same fix." + }, + { + "left": "pull_request:11081", + "right": "pull_request:9840", + "accept": false, + "reason": "11081 implements record_stream for group offloading; 9840 relaxes CUDA placement restrictions for bnb-loaded pipelines. Different behavior and code paths." + }, + { + "left": "pull_request:4062", + "right": "pull_request:4408", + "accept": false, + "reason": "4062 adds Shap-E mesh output; 4408 supports SDXL inpainting from single-file checkpoints. Unrelated changes." + }, + { + "left": "pull_request:12523", + "right": "pull_request:12909", + "accept": false, + "reason": "12523 fixes AutoencoderKLWan skip keys; 12909 fixes Wan 2.1 context parallel attention. Separate bugs in different layers." + }, + { + "left": "pull_request:10808", + "right": "pull_request:9542", + "accept": false, + "reason": "10808 tightens PEFT config key handling; 9542 improves conversion of Kohya Flux LoRAs with text encoder keys. Not the same bug." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5653", + "accept": false, + "reason": "4408 is SDXL single-file inpainting support; 5653 is a PEFT-related maybe_raise_or_warn enhancement. No shared underlying change." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6646", + "accept": false, + "reason": "6484 fixes GPU-created generators in SVD; 6646 changes SVD resolution constraints. Same model family, different issues." + }, + { + "left": "pull_request:10000", + "right": "pull_request:9934", + "accept": false, + "reason": "10000 adds Mochi video-to-video support; 9934 updates Mochi docs. One is code, the other documentation." + }, + { + "left": "pull_request:10008", + "right": "pull_request:8941", + "accept": false, + "reason": "10008 fixes a CogVideoX docs table; 8941 fixes an SD3 guidance_scale docstring mismatch. Both docs-only and unrelated." + }, + { + "left": "pull_request:10069", + "right": "pull_request:9721", + "accept": false, + "reason": "10069 corrects a BnB device type check; 9721 pins torch versions in Dockerfiles. Different concerns." + }, + { + "left": "pull_request:10101", + "right": "pull_request:9843", + "accept": false, + "reason": "10101 adds a generic sigmas test; 9843 adjusts an SD3 LoRA test fixture. Testing-related, but not the same concrete issue." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8631", + "accept": false, + "reason": "10114 is a formatting-only stable audio cleanup; 8631 fixes from_single_file for T5 checkpoints. Completely different." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9896", + "accept": false, + "reason": "10122 passes attn_mask into Flux attention; 9896 reverts Flux device/typecasting changes. Different code paths and fixes." + }, + { + "left": "pull_request:10132", + "right": "pull_request:11479", + "accept": false, + "reason": "10132 updates tokenizers in CI; 11479 renames Habana Gaudi docs to Intel Gaudi. Unrelated." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9175", + "accept": false, + "reason": "Both are Flux ControlNet-related, but 10192 adds Flux Control/Inpaint docs and pipeline support while 9175 adds Union ControlNet support. Different features, not duplicates." + }, + { + "left": "pull_request:102", + "right": "pull_request:1971", + "accept": false, + "reason": "102 updates training example commands; 1971 only edits a scheduler docstring. Not the same change." + }, + { + "left": "pull_request:102", + "right": "pull_request:415", + "accept": false, + "reason": "102 updates examples/README and training scripts, while 415 restructures training docs. 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false, + "reason": "WAN LoRA conversion logic and WAN CPU upcasting tests are different codepaths." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12775", + "accept": false, + "reason": "Both are docs for new models, but for different models and different artifacts." + }, + { + "left": "pull_request:1269", + "right": "pull_request:3337", + "accept": false, + "reason": "Both touch stable-diffusion-related files, but one is a refactor/finalization and the other is a postprocessing refactor." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13321", + "accept": false, + "reason": "Hunyuan offloading test tweaks and Cosmos torchvision guarding are unrelated." + }, + { + "left": "pull_request:1283", + "right": "pull_request:483", + "accept": false, + "reason": "Versatile Diffusion feature addition and typo-check workflow setup are unrelated." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13472", + "accept": false, + "reason": "Modular 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The soft links are superficial and do not indicate the same underlying change, so none should be merged as duplicates.", + "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:2001", + "right": "pull_request:3708", + "accept": false, + "reason": "Different fixes in different code paths: ColossalAI example seed launch vs custom release version sorting." + }, + { + "left": "pull_request:2006", + "right": "pull_request:3712", + "accept": false, + "reason": "Unrelated community checkpoint merger fix vs documentation workflow secret rename." + }, + { + "left": "pull_request:2007", + "right": "pull_request:3581", + "accept": false, + "reason": "Black formatting/version churn across many files vs a single community example cleanup." + }, + { + "left": "pull_request:21", + "right": "pull_request:7", + "accept": false, + "reason": "UNet timestep signature cleanup is unrelated to adding VQ-VAE support." + }, + { + "left": "pull_request:21", + "right": "pull_request:909", + "accept": false, + "reason": "Different stable-diffusion code cleanup vs inpaint test model-id updates." + }, + { + "left": "pull_request:2138", + "right": "pull_request:2227", + "accept": false, + "reason": "Docs typo fix in loaders vs API typo fixes across diffusion pipelines." + }, + { + "left": "pull_request:2138", + "right": "pull_request:3402", + "accept": false, + "reason": "Markdown wording fix vs Dockerfile package install adjustment." + }, + { + "left": "pull_request:217", + "right": "pull_request:286", + "accept": false, + "reason": "Safety checker logic bug vs README link correction." + }, + { + "left": "pull_request:2190", + "right": "pull_request:3916", + "accept": false, + "reason": "DreamBooth/Imagic notebook sync vs a large audio-generation/text-to-image branch sync." + }, + { + "left": "pull_request:2197", + "right": "pull_request:4239", + "accept": false, + "reason": "StableDiffusionInpaintPipeline typo/argument fix vs SDXL LoRA text encoder integration work." + }, + { + "left": "pull_request:22", + "right": "pull_request:7", + "accept": false, + "reason": "Modeling_utils warning typo fix is unrelated to VQ-VAE addition." + }, + { + "left": "pull_request:22", + "right": "pull_request:909", + "accept": false, + "reason": "Model loading warnings fix vs inpaint pipeline test data updates." + }, + { + "left": "pull_request:2208", + "right": "pull_request:3172", + "accept": false, + "reason": "xFormers docs update vs reproducibility docs on deterministic algorithms." + }, + { + "left": "pull_request:2295", + "right": "pull_request:2706", + "accept": false, + "reason": "WIP transformer-layer configurability vs unconditional training EMA save/restore fix." + }, + { + "left": "pull_request:2314", + "right": "pull_request:2655", + "accept": false, + "reason": "Fast test tolerance updates vs LoRA save/load logic in loaders." + }, + { + "left": "pull_request:2322", + "right": "pull_request:252", + "accept": false, + "reason": "Layer.ai inpaint example and pipeline tweaks vs README examples update; unrelated scope." + }, + { + "left": "pull_request:2322", + "right": "pull_request:3069", + "accept": false, + "reason": "Example/inpaint code changes vs Flax TPU test expectation adjustments." + }, + { + "left": "pull_request:2329", + "right": "pull_request:774", + "accept": false, + "reason": "Workflow refactor for push tests vs a single test assertion tweak." + }, + { + "left": "pull_request:2362", + "right": "pull_request:3786", + "accept": false, + "reason": "MPS skip decorator for tests vs adding a PR template file." + }, + { + "left": "pull_request:2388", + "right": "pull_request:397", + "accept": false, + "reason": "Docs for controlling generation vs a much older quicktour docs rewrite." + }, + { + "left": "pull_request:2388", + "right": "pull_request:415", + "accept": false, + "reason": "Controlling-generation docs are unrelated to general training docs overhaul." + }, + { + "left": "pull_request:2401", + "right": "pull_request:4081", + "accept": false, + "reason": "Docs index/page reorganization vs adding Kandinsky to README table." + }, + { + "left": "pull_request:2436", + "right": "pull_request:979", + "accept": false, + "reason": "Adding an Attend-and-Excite demo link vs adding a missing torch import." + }, + { + "left": "pull_request:2475", + "right": "pull_request:2542", + "accept": false, + "reason": "ControlNet feature branch vs small ControlNet docs/link fixes; not the same change." + }, + { + "left": "pull_request:2475", + "right": "pull_request:2912", + "accept": false, + "reason": "ControlNet feature implementation vs a punctuation/docs tweak in controlnet.mdx." + }, + { + "left": "pull_request:2475", + "right": "pull_request:2958", + "accept": false, + "reason": "ControlNet feature implementation vs adding ControlNet Inpaint as a separate pipeline export." + }, + { + "left": "pull_request:2475", + "right": "pull_request:3757", + "accept": false, + "reason": "ControlNet feature branch vs configurable conditioning_channels; distinct code-path changes." + }, + { + "left": "pull_request:2526", + "right": "pull_request:3400", + "accept": false, + "reason": "Slow-test tolerance updates vs adding omegaconf to test/docker dependencies." + }, + { + "left": "pull_request:2533", + "right": "pull_request:4547", + "accept": false, + "reason": "Temporary rc1 testing workflow/package pin vs Flax scheduler feature 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": 265, + "review_unit_index": 161, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2590", + "pull_request:2693", + "pull_request:2701", + "pull_request:2759", + "pull_request:2762", + "pull_request:2811", + "pull_request:2814", + "pull_request:286", + "pull_request:2970", + "pull_request:3042", + "pull_request:3063", + "pull_request:3108", + "pull_request:3169", + "pull_request:3217", + "pull_request:3230", + "pull_request:3295", + "pull_request:3318", + "pull_request:3343", + "pull_request:34", + "pull_request:3402", + "pull_request:3433", + "pull_request:3474", + "pull_request:3524", + "pull_request:3525", + "pull_request:3608", + "pull_request:3707", + "pull_request:3709", + "pull_request:3931", + "pull_request:3955", + "pull_request:4081", + "pull_request:41", + "pull_request:4495", + "pull_request:4547", + "pull_request:4748", + "pull_request:4963", + "pull_request:4973", + "pull_request:5267", + "pull_request:5286", + "pull_request:5478", + "pull_request:5622", + "pull_request:5729", + "pull_request:5855", + "pull_request:693", + "pull_request:705", + "pull_request:828", + "pull_request:909", + "pull_request:948", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:2590|pull_request:2970", + "pull_request:2693|pull_request:3707", + "pull_request:2701|pull_request:3230", + "pull_request:2759|pull_request:828", + "pull_request:2762|pull_request:3230", + "pull_request:2811|pull_request:705", + "pull_request:2814|pull_request:909", + "pull_request:286|pull_request:41", + "pull_request:286|pull_request:693", + "pull_request:3042|pull_request:4963", + "pull_request:3063|pull_request:3955", + "pull_request:3108|pull_request:3931", + "pull_request:3169|pull_request:975", + "pull_request:3217|pull_request:3230", + "pull_request:3230|pull_request:3709", + "pull_request:3230|pull_request:4081", + "pull_request:3230|pull_request:4495", + "pull_request:3230|pull_request:4973", + "pull_request:3230|pull_request:5286", + "pull_request:3295|pull_request:3608", + "pull_request:3318|pull_request:4547", + "pull_request:3343|pull_request:5622", + "pull_request:34|pull_request:948", + "pull_request:3402|pull_request:5622", + "pull_request:3433|pull_request:5622", + "pull_request:3474|pull_request:5478", + "pull_request:3524|pull_request:3525", + "pull_request:3524|pull_request:3931", + "pull_request:3524|pull_request:4748", + "pull_request:3524|pull_request:5267", + "pull_request:3524|pull_request:5855", + "pull_request:3525|pull_request:5729" + ], + "prepared_review_unit_hash": "e852ec42539665a4c4bad3e9ba6591ea8215c9aae9a46dc7caf86bd05da82934", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 95167, + "estimated_input_tokens": 23792, + "estimated_eval_tokens": 47840 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes doc typo fixes, CI/workflow tweaks, feature additions, and example/test updates. None of the soft pairs look like the same underlying bug or change, so I would reject all duplicate links.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are unrelated changes across docs, CI, examples, and core code, so there isn't a single underlying change to canonicalize.", + "best_issue_reason": null, + "best_pr_reason": "PR 3230 is the strongest representative because it is a large, coherent feature addition with substantial code and docs changes and broad review; the other PRs are mostly small typo/docs/CI fixes or unrelated edits.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2590", + "right": "pull_request:2970", + "accept": false, + "reason": "Different areas and changes: CI workflow vs. a variable rename in an example." + }, + { + "left": "pull_request:2693", + "right": "pull_request:3707", + "accept": false, + "reason": "Both touch docs, but one fixes an image link and the other changes documentation workflow secrets; unrelated changes." + }, + { + "left": "pull_request:2701", + "right": "pull_request:3230", + "accept": false, + "reason": "Rocm onnxruntime support vs. a large IF feature release; completely different code paths." + }, + { + "left": "pull_request:2759", + "right": "pull_request:828", + "accept": false, + "reason": "Unrelated test/feature work in different example and model areas." + }, + { + "left": "pull_request:2762", + "right": "pull_request:3230", + "accept": false, + "reason": "Multiple ControlNet docs vs. IF pipeline implementation; not the same underlying change." + }, + { + "left": "pull_request:2811", + "right": "pull_request:705", + "accept": false, + "reason": "An ONNX test baseline update is unrelated to CI/test-environment changes." + }, + { + "left": "pull_request:2814", + "right": "pull_request:909", + "accept": false, + "reason": "Stable UnCLIP pipeline implementation work vs. Stable Diffusion inpaint test/model fixture updates." + }, + { + "left": "pull_request:286", + "right": "pull_request:41", + "accept": false, + "reason": "Different README/doc link fixes in different eras; no shared bug or code path." + }, + { + "left": "pull_request:286", + "right": "pull_request:693", + "accept": false, + "reason": "One fixes a link, the other fixes citation formatting; both are README edits but not the same change." + }, + { + "left": "pull_request:3042", + "right": "pull_request:4963", + "accept": false, + "reason": "Min-version bumps for accelerate in examples vs. installing accelerate main in CI; related ecosystem, but not the same change." + }, + { + "left": "pull_request:3063", + "right": "pull_request:3955", + "accept": false, + "reason": "Pipeline __setattr__ bug fix vs. Kandinsky doc parameter text; different scope entirely." + }, + { + "left": "pull_request:3108", + "right": "pull_request:3931", + "accept": false, + "reason": "No diff/content for 3108, and 3931 is a ckpt-loading code change; insufficient overlap." + }, + { + "left": "pull_request:3169", + "right": "pull_request:975", + "accept": false, + "reason": "Habana hardware docs update vs. a terminology typo in the docs tree; unrelated documentation edits." + }, + { + "left": "pull_request:3217", + "right": "pull_request:3230", + "accept": false, + "reason": "Shared utility naming appears only in docs/code organization, but the PRs change different pipeline utility behavior vs. a new IF pipeline feature." + }, + { + "left": "pull_request:3230", + "right": "pull_request:3709", + "accept": false, + "reason": "IF feature implementation vs. image processor documentation; unrelated additions." + }, + { + "left": "pull_request:3230", + "right": "pull_request:4081", + "accept": false, + "reason": "IF feature implementation vs. README table update for Kandinsky; different changes." + }, + { + "left": "pull_request:3230", + "right": "pull_request:4495", + "accept": false, + "reason": "IF feature implementation vs. SDXL reference example; different pipelines and code paths." + }, + { + "left": "pull_request:3230", + "right": "pull_request:4973", + "accept": false, + "reason": "IF pipeline addition vs. README install-badge update; not the same change." + }, + { + "left": "pull_request:3230", + "right": "pull_request:5286", + "accept": false, + "reason": "IF feature implementation vs. Japanese docs scaffold; unrelated." + }, + { + "left": "pull_request:3295", + "right": "pull_request:3608", + "accept": false, + "reason": "One fixes tutorial code formatting, the other fixes an example CLI typo and variable name." + }, + { + "left": "pull_request:3318", + "right": "pull_request:4547", + "accept": false, + "reason": "IF textual inversion work vs. Flax Euler scheduler work; different pipelines/models." + }, + { + "left": "pull_request:3343", + "right": "pull_request:5622", + "accept": false, + "reason": "DPMSolver config bug fix vs. a broad optimization/example training script PR; unrelated." + }, + { + "left": "pull_request:34", + "right": "pull_request:948", + "accept": false, + "reason": "Comment typo cleanup vs. a DDPM pipeline comment typo; both are typos but different files and edits." + }, + { + "left": "pull_request:3402", + "right": "pull_request:5622", + "accept": false, + "reason": "Dockerfile packaging fix vs. large example-training overhaul; unrelated." + }, + { + "left": "pull_request:3433", + "right": "pull_request:5622", + "accept": false, + "reason": "Documentation style rendering fix vs. large example-training overhaul; unrelated." + }, + { + "left": "pull_request:3474", + "right": "pull_request:5478", + "accept": false, + "reason": "Attention processor docs vs. Japanese docs rollout; not the same underlying documentation change." + }, + { + "left": "pull_request:3524", + "right": "pull_request:3525", + "accept": false, + "reason": "Both edit README.md, but one rewrites documentation sections while the other adds install badges and repo references; separate changes." + }, + { + "left": "pull_request:3524", + "right": "pull_request:3931", + "accept": false, + "reason": "README restructuring vs. ckpt-loading code changes; unrelated." + }, + { + "left": "pull_request:3524", + "right": "pull_request:4748", + "accept": false, + "reason": "README restructuring vs. setup/release instructions; different files and intent." + }, + { + "left": "pull_request:3524", + "right": "pull_request:5267", + "accept": false, + "reason": "README overhaul vs. docs README formatting guidance; not the same change." + }, + { + "left": "pull_request:3524", + "right": "pull_request:5855", + "accept": false, + "reason": "README overhaul vs. a community README typo fix; only shared file name, not shared bug." + }, + { + "left": "pull_request:3525", + "right": "pull_request:5729", + "accept": false, + "reason": "README badge/update PR vs. broad training script setup changes; 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": 265, + "review_unit_index": 162, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3563", + "pull_request:3641", + "pull_request:3687", + "pull_request:3723", + "pull_request:3798", + "pull_request:3806", + "pull_request:3820", + "pull_request:3835", + "pull_request:386", + "pull_request:390", + "pull_request:391", + "pull_request:392", + "pull_request:3955", + "pull_request:396", + "pull_request:397", + "pull_request:3989", + "pull_request:404", + "pull_request:4082", + "pull_request:41", + "pull_request:4113", + "pull_request:415", + "pull_request:416", + "pull_request:417", + "pull_request:418", + "pull_request:4203", + "pull_request:422", + "pull_request:4239", + "pull_request:4273", + "pull_request:4275", + "pull_request:4276", + "pull_request:428", + "pull_request:4284", + "pull_request:4301", + "pull_request:4320", + "pull_request:4498", + "pull_request:4807", + "pull_request:4822", + "pull_request:4887", + "pull_request:5792", + "pull_request:5948", + "pull_request:6078", + "pull_request:6150", + "pull_request:6337", + "pull_request:6410", + "pull_request:6491", + "pull_request:6499", + "pull_request:6591", + "pull_request:662" + ], + "soft_pairs": [ + "pull_request:3563|pull_request:3989", + "pull_request:3641|pull_request:5948", + "pull_request:3687|pull_request:4807", + "pull_request:3723|pull_request:4498", + "pull_request:3798|pull_request:6078", + "pull_request:3806|pull_request:6150", + "pull_request:3820|pull_request:3955", + "pull_request:3820|pull_request:4284", + "pull_request:3835|pull_request:4273", + "pull_request:386|pull_request:396", + "pull_request:386|pull_request:416", + "pull_request:390|pull_request:416", + "pull_request:391|pull_request:392", + "pull_request:391|pull_request:404", + "pull_request:391|pull_request:417", + "pull_request:397|pull_request:422", + "pull_request:397|pull_request:428", + "pull_request:4082|pull_request:6410", + "pull_request:41|pull_request:662", + "pull_request:4113|pull_request:4822", + "pull_request:415|pull_request:422", + "pull_request:415|pull_request:428", + "pull_request:418|pull_request:422", + "pull_request:418|pull_request:428", + "pull_request:4203|pull_request:6491", + "pull_request:4239|pull_request:6337", + "pull_request:4239|pull_request:6591", + "pull_request:4273|pull_request:6499", + "pull_request:4275|pull_request:6410", + "pull_request:4276|pull_request:5792", + "pull_request:4301|pull_request:4887", + "pull_request:4320|pull_request:6410" + ], + "prepared_review_unit_hash": "c01c154f0c69250d22b64f9ce37617a29eb63563c2a7c5eba59bc3690fec3db0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 99035, + "estimated_input_tokens": 24759, + "estimated_eval_tokens": 49774 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a grab-bag of unrelated docs edits, typo fixes, and a few small bugfix PRs across different pipelines/subsystems. None of the soft-edge pairs look like the same underlying change, so I would not merge any of them as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a representative is needed, PR 3835 is the broadest documentation/API cleanup in the set, but the overall cluster is too heterogeneous to treat it as a true duplicate target.", + "best_issue_reason": null, + "best_pr_reason": "PR 3835 has the widest surface area and review activity among the docs-heavy items, so it is the best single representative even though the cluster is not a duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3563", + "right": "pull_request:3989", + "accept": false, + "reason": "Different fixes: one changes UNet norm handling, the other updates SDXL CPU offload tests." + }, + { + "left": "pull_request:3641", + "right": "pull_request:5948", + "accept": false, + "reason": "Inpainting latents handling vs a from_pretrained warning condition; unrelated code paths." + }, + { + "left": "pull_request:3687", + "right": "pull_request:4807", + "accept": false, + "reason": "Testing doc-builder vs Chinese Stable Diffusion docs; unrelated documentation changes." + }, + { + "left": "pull_request:3723", + "right": "pull_request:4498", + "accept": false, + "reason": "Reference-image community example update vs SDXL reference/adain feature; not the same concrete change." + }, + { + "left": "pull_request:3798", + "right": "pull_request:6078", + "accept": false, + "reason": "Comment cleanup in training scripts vs Euler discrete sigma logic; different edits." + }, + { + "left": "pull_request:3806", + "right": "pull_request:6150", + "accept": false, + "reason": "Checkpoint loading note in README vs IP-Adapter converter code; different features." + }, + { + "left": "pull_request:3820", + "right": "pull_request:3955", + "accept": false, + "reason": "LDM3D typo/doc fix vs Kandinsky prior parameter defaults; unrelated." + }, + { + "left": "pull_request:3820", + "right": "pull_request:4284", + "accept": false, + "reason": "Both touch LDM3D docs/code, but one fixes a sample typo while the other renames output docs/types; not the same bug." + }, + { + "left": "pull_request:3835", + "right": "pull_request:4273", + "accept": false, + "reason": "Broad API docs refactor vs AutoPipeline tutorial/docs addition; overlap is only a toctree entry." + }, + { + "left": "pull_request:386", + "right": "pull_request:396", + "accept": false, + "reason": "Stable Diffusion pipeline docs vs DDIM docs; different pages and content." + }, + { + "left": "pull_request:386", + "right": "pull_request:416", + "accept": false, + "reason": "Stable Diffusion pipeline docs vs model API docs; only both are docs." + }, + { + "left": "pull_request:390", + "right": "pull_request:416", + "accept": false, + "reason": "MPS optimization guide vs model API docs; unrelated documentation topics." + }, + { + "left": "pull_request:391", + "right": "pull_request:392", + "accept": false, + "reason": "PNDM docs vs contribution guide; unrelated docs additions." + }, + { + "left": "pull_request:391", + "right": "pull_request:404", + "accept": false, + "reason": "PNDM docs vs fp16 optimization page; different documentation areas." + }, + { + "left": "pull_request:391", + "right": "pull_request:417", + "accept": false, + "reason": "PNDM docs vs inference guide docs; not the same artifact." + }, + { + "left": "pull_request:397", + "right": "pull_request:422", + "accept": false, + "reason": "Quicktour/training docs vs outputs API docs; different documentation sets." + }, + { + "left": "pull_request:397", + "right": "pull_request:428", + "accept": false, + "reason": "Quicktour/training docs vs using-diffusers docs restructuring; too broad to be duplicates." + }, + { + "left": "pull_request:4082", + "right": "pull_request:6410", + "accept": false, + "reason": "SDXL requirement pin vs RL module registration; unrelated changes." + }, + { + "left": "pull_request:41", + "right": "pull_request:662", + "accept": false, + "reason": "Resnet comment cleanup vs textual inversion README/code changes; different scopes." + }, + { + "left": "pull_request:4113", + "right": "pull_request:4822", + "accept": false, + "reason": "SDXL inpaint dtype fix vs LoRA warning typo fix; unrelated." + }, + { + "left": "pull_request:415", + "right": "pull_request:422", + "accept": false, + "reason": "Training docs vs outputs API docs; only both are documentation." + }, + { + "left": "pull_request:415", + "right": "pull_request:428", + "accept": false, + "reason": "Training docs vs using-diffusers guides; not the same content." + }, + { + "left": "pull_request:418", + "right": "pull_request:422", + "accept": false, + "reason": "DiffusionPipeline docs vs outputs docs; different API pages." + }, + { + "left": "pull_request:418", + "right": "pull_request:428", + "accept": false, + "reason": "DiffusionPipeline docs vs using-diffusers guides; not the same change." + }, + { + "left": "pull_request:4203", + "right": "pull_request:6491", + "accept": false, + "reason": "Dreambooth README typo vs an empty/nit typo PR with no evidence of the same edit." + }, + { + "left": "pull_request:4239", + "right": "pull_request:6337", + "accept": false, + "reason": "SDXL dreambooth text_encoder fix vs Tensorrt img2img retrieve_latents fix; different pipelines and bugs." + }, + { + "left": "pull_request:4239", + "right": "pull_request:6591", + "accept": false, + "reason": "SDXL dreambooth text_encoder fix vs widespread 'procecss' typo cleanup; 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The other soft-edge rejections are conservative, with reasons tied to different files, different subsystems, or clearly different scope." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 165, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10396", + "pull_request:10578", + "pull_request:11130", + "pull_request:12074", + "pull_request:12086", + "pull_request:12419", + "pull_request:12439", + "pull_request:12549", + "pull_request:12679", + "pull_request:2421", + "pull_request:3034", + "pull_request:4062", + "pull_request:4597", + "pull_request:4799", + "pull_request:5127", + "pull_request:5653", + "pull_request:5887", + "pull_request:6003", + "pull_request:6447", + "pull_request:6975", + "pull_request:6999", + "pull_request:7977", + "pull_request:8308", + "pull_request:8310", + "pull_request:840", + "pull_request:8403", + "pull_request:8479", + "pull_request:8481", + "pull_request:8660", + "pull_request:8719", + "pull_request:8761", + "pull_request:8978", + "pull_request:8984", + "pull_request:9", + "pull_request:9060", + "pull_request:909", + "pull_request:91", + "pull_request:9269", + "pull_request:9289", + "pull_request:9426", + "pull_request:9483", + "pull_request:9620", + "pull_request:9676", + "pull_request:9699", + "pull_request:9734", + "pull_request:9739", + "pull_request:9938", + "pull_request:9994" + ], + "soft_pairs": [ + "pull_request:7977|pull_request:9739", + "pull_request:8308|pull_request:9289", + "pull_request:8310|pull_request:9289", + "pull_request:840|pull_request:9", + "pull_request:8403|pull_request:8978", + "pull_request:8479|pull_request:9620", + "pull_request:8481|pull_request:9739", + "pull_request:8660|pull_request:9426", + "pull_request:8719|pull_request:9676", + "pull_request:8761|pull_request:9269", + "pull_request:8978|pull_request:9734", + "pull_request:8984|pull_request:9620", + "pull_request:9060|pull_request:9938", + "pull_request:909|pull_request:91", + "pull_request:9483|pull_request:9699", + "pull_request:9620|pull_request:9994", + "pull_request:4597|pull_request:5887", + "pull_request:10396|pull_request:10578", + "pull_request:12439|pull_request:12549", + "pull_request:12086|pull_request:12419", + "pull_request:6003|pull_request:6999", + "pull_request:4799|pull_request:6975", + "pull_request:5127|pull_request:5653", + "pull_request:2421|pull_request:3034", + "pull_request:12074|pull_request:12679", + "pull_request:4062|pull_request:6447", + "pull_request:10578|pull_request:11130" + ], + "prepared_review_unit_hash": "3f5082914af6db4cea69de6ffc3c38a1c159eb0664549e26cdf5a934414892ca", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 103785, + "estimated_input_tokens": 25947, + "estimated_eval_tokens": 52150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Heterogeneous set of mostly unrelated Diffusers PRs; 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different code paths and symptoms." + }, + { + "left": "pull_request:4412", + "right": "pull_request:6085", + "accept": false, + "reason": "Test helper cleanup vs scheduler add_noise bugfix; not the same underlying issue." + }, + { + "left": "pull_request:4887", + "right": "pull_request:4987", + "accept": false, + "reason": "Different changes entirely: Kandinsky latent-input removal vs duplicate GLIGEN import cleanup." + }, + { + "left": "pull_request:5299", + "right": "pull_request:6658", + "accept": false, + "reason": "Typehint/docs cleanup in models vs new memory-footprint utility; 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": 265, + "review_unit_index": 167, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10058", + "pull_request:10114", + "pull_request:10122", + "pull_request:10126", + "pull_request:10544", + "pull_request:10941", + "pull_request:11583", + "pull_request:11950", + "pull_request:12207", + "pull_request:12541", + "pull_request:13100", + "pull_request:13120", + "pull_request:1331", + "pull_request:13352", + "pull_request:2111", + "pull_request:2345", + "pull_request:2467", + "pull_request:2693", + "pull_request:3278", + "pull_request:3313", + "pull_request:3607", + "pull_request:3673", + "pull_request:3691", + "pull_request:3850", + "pull_request:4099", + "pull_request:4272", + "pull_request:4301", + "pull_request:4621", + "pull_request:4695", + "pull_request:4715", + "pull_request:5033", + "pull_request:5526", + "pull_request:5979", + "pull_request:6195", + "pull_request:6197", + "pull_request:6261", + "pull_request:6447", + "pull_request:6650", + "pull_request:6975", + "pull_request:7371", + "pull_request:8290", + "pull_request:8452", + "pull_request:8510", + "pull_request:8691", + "pull_request:8816", + "pull_request:8820", + "pull_request:9601" + ], + "soft_pairs": [ + "pull_request:6261|pull_request:8290", + "pull_request:6975|pull_request:8816", + "pull_request:6975|pull_request:8820", + "pull_request:3313|pull_request:5033", + "pull_request:11950|pull_request:12207", + "pull_request:4695|pull_request:6447", + "pull_request:5979|pull_request:6650", + "pull_request:6197|pull_request:7371", + "pull_request:10058|pull_request:11583", + "pull_request:10114|pull_request:8452", + "pull_request:10114|pull_request:8510", + "pull_request:10122|pull_request:10941", + "pull_request:10126|pull_request:8691", + "pull_request:10544|pull_request:9601", + "pull_request:12541|pull_request:13352", + "pull_request:13100|pull_request:13120", + "pull_request:1331|pull_request:2467", + "pull_request:2111|pull_request:3607", + "pull_request:2345|pull_request:3691", + "pull_request:2467|pull_request:4272", + "pull_request:2693|pull_request:4301", + "pull_request:3278|pull_request:4715", + "pull_request:3673|pull_request:4621", + "pull_request:3850|pull_request:5526", + "pull_request:4099|pull_request:6195" + ], + "prepared_review_unit_hash": "a963c320a6e6790a09a85764a5dc1d0281575362a66ca19ecb0a3398fb188898", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 102667, + "estimated_input_tokens": 25667, + "estimated_eval_tokens": 51590 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose bag of unrelated PRs spanning docs fixes, pipeline feature work, loader changes, CI, and tests. The soft edges are mostly superficial keyword/file-similarity matches, not the same underlying bug or change, so they should all be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good canonical representative here because the cluster is not a true duplicate set; the items cover many unrelated changes. If forced, none stands out as the shared underlying fix/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6261", + "right": "pull_request:8290", + "accept": false, + "reason": "Both touch docs/registry plumbing, but one refactors Attend-and-Excite placement and the other is a broad HunyuanDIT documentation/refactor PR. Not the same change." + }, + { + "left": "pull_request:6975", + "right": "pull_request:8816", + "accept": false, + "reason": "6975 fixes single-file controlnet inpaint loading; 8816 adds PAG support for SD1.5 controlnet. Different code paths and goals." + }, + { + "left": "pull_request:6975", + "right": "pull_request:8820", + "accept": false, + "reason": "Same as above: single-file inpaint loader fix versus PAG controlnet feature work. Not mergeable as one fix." + }, + { + "left": "pull_request:3313", + "right": "pull_request:5033", + "accept": false, + "reason": "Both involve inpainting, but 3313 is a torch.compile compatibility fix while 5033 fixes regular text2image-unet inpaint masking logic. Different bugs." + }, + { + "left": "pull_request:11950", + "right": "pull_request:12207", + "accept": false, + "reason": "Both are nunchaku/quantization-related, but 11950 is an open SVDQuant implementation and 12207 is incorporating Nunchaku support. Distinct feature work." + }, + { + "left": "pull_request:4695", + "right": "pull_request:6447", + "accept": false, + "reason": "Both add pipeline docs/imports, but one introduces TextToVideoZero SDXL and the other adds StableDiffusionXL K-Diffusion. Different pipelines/features." + }, + { + "left": "pull_request:5979", + "right": "pull_request:6650", + "accept": false, + "reason": "DDGAN pipeline/scheduler addition versus UFOGen community scheduler example. Same broad area only; not the same underlying change." + }, + { + "left": "pull_request:6197", + "right": "pull_request:7371", + "accept": false, + "reason": "DeepCache support for Stable Diffusion community example versus DoRA LoRA support. Completely different functionality." + }, + { + "left": "pull_request:10058", + "right": "pull_request:11583", + "accept": false, + "reason": "Both are docs fixes, but one fixes broken links in training docs and the other removes a tutorial. Not the same bug/change." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8452", + "accept": false, + "reason": "Formatting-only Stable Audio PR versus single-file loading error fix. No shared bug or code path." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8510", + "accept": false, + "reason": "Stable Audio formatting cleanup versus dreambooth LR scheduler fix. Unrelated." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10941", + "accept": false, + "reason": "Flux attention-mask plumbing versus broad copy/fix-up updates to Flux pipelines. Same subsystem, but different concrete changes." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8691", + "accept": false, + "reason": "LoRA deprecation/test update versus vanilla fine-tuned LoRA loading logic fix. Different issues." + }, + { + "left": "pull_request:10544", + "right": "pull_request:9601", + "accept": false, + "reason": "ParaAttention documentation addition versus SD3 ControlNet training VAE dtype fix. Unrelated." + }, + { + "left": "pull_request:12541", + "right": "pull_request:13352", + "accept": false, + "reason": "WAN LoRA conversion fix versus Claude review workflow checkout fix. Completely unrelated." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13120", + "accept": false, + "reason": "Modular pipeline docs update versus test coverage for AutoModel load-ID tagging. Related area, but not the same change or bug." + }, + { + "left": "pull_request:1331", + "right": "pull_request:2467", + "accept": false, + "reason": "Both touch inpaint/image output behavior, but 1331 fixes scheduler/input handling for inpainting, while 2467 adds latent output type support. Different features/bugs." + }, + { + "left": "pull_request:2111", + "right": "pull_request:3607", + "accept": false, + "reason": "Attention-mask fusion in cross-attention versus temb-attention compile/runtime fixes. Both attention-related, but distinct code paths and bugs." + }, + { + "left": "pull_request:2345", + "right": "pull_request:3691", + "accept": false, + "reason": "xFormers training warning versus LoRAAttnProcessor2_0 loading support. Different compatibility issues." + }, + { + "left": "pull_request:2467", + "right": "pull_request:4272", + "accept": false, + "reason": "Latent output type addition versus missing optional import statements. No shared underlying change." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4301", + "accept": false, + "reason": "Both are doc fixes, but one repairs an image link and the other updates Kandinsky docs and links. Different changes." + }, + { + "left": "pull_request:3278", + "right": "pull_request:4715", + "accept": false, + "reason": "Test/dependency cleanup versus file rename to avoid example test discovery. Unrelated." + }, + { + "left": "pull_request:3673", + "right": "pull_request:4621", + "accept": false, + "reason": "Multi-GPU dreambooth correction versus multi-adapter downscale-factor validation. Different features and bugs." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5526", + "accept": false, + "reason": "Audio diffusion test fixtures versus SDXL scheduler edge-case fix. Only loosely related via testing." + }, + { + "left": "pull_request:4099", + "right": "pull_request:6195", + "accept": false, + "reason": "SDXL prompt-embedding bug fix versus AnimateDiff SDXL work. Same model family, but not the same issue or 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": 1, + "component_count": 265, + "review_unit_index": 168, + "review_unit_count": 272, + "status": "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:10230", + "pull_request:10326", + "pull_request:10539", + "pull_request:10547", + "pull_request:10850", + "pull_request:10966", + "pull_request:11269", + "pull_request:11449", + "pull_request:11479", + "pull_request:11495", + "pull_request:11602", + "pull_request:11916", + "pull_request:12092", + "pull_request:12301", + "pull_request:12439", + "pull_request:12534", + "pull_request:12586", + "pull_request:12911", + "pull_request:12919", + "pull_request:2334", + "pull_request:2397", + "pull_request:4947", + "pull_request:5186", + "pull_request:5853", + "pull_request:6007", + "pull_request:6237", + "pull_request:6864", + "pull_request:6961", + "pull_request:7044", + "pull_request:7134", + "pull_request:7202", + "pull_request:7206", + "pull_request:7295", + "pull_request:7328", + "pull_request:7410", + "pull_request:8404", + "pull_request:8522", + "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:9687", + "pull_request:9896" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "1fae62d2adc9a01c7e3dfe886452913d3380e114c1cc908ad7e5edf9f218b66b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 102738, + "estimated_input_tokens": 25685, + "estimated_eval_tokens": 51626 + }, + "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 PRs. I found one plausible same-feature pair around Pix2Pix Zero/DDIM inversion; the rest look like distinct changes, fixes, docs, or tests that should not be merged as duplicates.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2334 is the broader, original Pix2Pix Zero feature addition and is the best representative of the only closely related PR pair in this set.", + "best_issue_reason": null, + "best_pr_reason": "PR #2334 is the most canonical representative because it introduced the feature end-to-end, while #2397 looks like a follow-up implementation piece for the same feature family.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4947", + "right": "pull_request:5853", + "accept": false, + "reason": "Different areas entirely: t2i-adapter training script tests vs doctest infrastructure." + }, + { + "left": "pull_request:5186", + "right": "pull_request:7328", + "accept": false, + "reason": "Unrelated changes: a FreeU proof-of-concept vs adding torch to a PyPI publish workflow." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6237", + "accept": false, + "reason": "Both are docs, but they cover different topics and different user guidance." + }, + { + "left": "pull_request:6007", + "right": "pull_request:7134", + "accept": false, + "reason": "Different docs/content changes; no shared underlying bug or feature." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8684", + "accept": false, + "reason": "A PEFT docs addition and a Pillow import fix are unrelated." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7295", + "accept": false, + "reason": "Both touch single-file loading, but one is test/loader conversion work and the other is a UNet loader wording cleanup; not the same concrete change." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7134", + "accept": false, + "reason": "A UNet refactor and UNet type-hint cleanup are separate changes, not duplicates." + }, + { + "left": "pull_request:7202", + "right": "pull_request:8698", + "accept": false, + "reason": "Removal of huggingface-cli from requirements is unrelated to transformer output deprecation cleanup." + }, + { + "left": "pull_request:7206", + "right": "pull_request:8650", + "accept": false, + "reason": "Training-script tags and SD3 DreamBooth test additions are different changes." + }, + { + "left": "pull_request:7410", + "right": "pull_request:9247", + "accept": false, + "reason": "FreeInit behavior fix vs model-variant detection fix are unrelated subsystems." + }, + { + "left": "pull_request:8404", + "right": "pull_request:8932", + "accept": false, + "reason": "Latte video generation implementation and temporal transformer tests are not the same code-path problem." + }, + { + "left": "pull_request:8522", + "right": "pull_request:8932", + "accept": false, + "reason": "A dependency version pin and a transformer test suite addition are unrelated." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9896", + "accept": false, + "reason": "Both involve Flux, but one fixes DreamBooth prompt encoding while the other reverts pipeline device-transfer behavior; different bugs." + }, + { + "left": "pull_request:11602", + "right": "pull_request:12301", + "accept": false, + "reason": "Sana Sprint img2img and Qwen-Image ControlNet inpainting are different features." + }, + { + "left": "pull_request:2334", + "right": "pull_request:2397", + "accept": true, + "reason": "These are tightly coupled Pix2Pix Zero changes: the original pipeline addition and the DDIM inversion support/docs for the same feature could plausibly have been one PR." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12439", + "accept": false, + "reason": "Shared attention-dispatch code, but one is a broad refactor and the other adds a specific attention backend; not the same concrete change." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12919", + "accept": false, + "reason": "Both are NPU-related Flux work, but one changes pos-embed handling and the other adds an NPU attention backend; distinct code paths." + }, + { + "left": "pull_request:10148", + "right": "pull_request:10850", + "accept": false, + "reason": "OmniGen feature addition and hook utility methods are unrelated." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11269", + "accept": false, + "reason": "Docs for LoRA mixins and ONNX runtime availability changes do not describe the same change." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8755", + "accept": false, + "reason": "Workflow quoting fix vs SD3 DreamBooth text-encoder fix are unrelated." + }, + { + "left": "pull_request:10539", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux true-CFG condition tweak and DreamBooth Flux prompt encoding fix are different bugs." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9524", + "accept": false, + "reason": "Offload test adjustments for transformers are unrelated to CogVideoX VAE cache removal." + }, + { + "left": "pull_request:10966", + "right": "pull_request:11479", + "accept": false, + "reason": "CogView4 input validation and Intel Gaudi documentation rename are unrelated." + }, + { + "left": "pull_request:11269", + "right": "pull_request:9687", + "accept": false, + "reason": "ONNX runtime package detection and Flux ControlNet support are unrelated changes." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11495", + "accept": false, + "reason": "Similar training-script interpolation knobs, but they apply to different scripts and different training paths." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12586", + "accept": false, + "reason": "GGUF docs expansion and a toctree sort are not the same underlying change." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12911", + "accept": false, + "reason": "GGUF docs and discrete diffusion feature work are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted pair, PR #2334 and #2397, does look plausibly mergeable as one Pix2Pix Zero feature/change set. The rest of the soft-edge rejections are cautious and consistent with the diffs/titles provided, without overstating 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": 265, + "review_unit_index": 169, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1129", + "pull_request:11663", + "pull_request:11738", + "pull_request:1206", + "pull_request:13022", + "pull_request:13134", + "pull_request:13211", + "pull_request:1324", + "pull_request:13296", + "pull_request:1579", + "pull_request:1623", + "pull_request:1850", + "pull_request:2119", + "pull_request:2279", + "pull_request:2470", + "pull_request:2983", + "pull_request:3077", + "pull_request:3471", + "pull_request:3675", + "pull_request:3723", + "pull_request:3746", + "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:9988" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "e810aa9c10b8d6b5a20f64d2eb75b0ab77b0f89db13d2660b89c684d7c276695", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97733, + "estimated_input_tokens": 24434, + "estimated_eval_tokens": 49124 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated pull requests. The only strong duplicate-like pair is the bitsandbytes determinism test fix (11663 vs 11738); the rest touch different features, docs, CI, or subsystems and should stay separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. If one PR must represent the cluster, PR 11738 is the best candidate because it is the more complete version of the bnb determinism test fix and effectively subsumes the earlier inline call in 11663.", + "best_issue_reason": null, + "best_pr_reason": "PR 11738 is the strongest representative of the only true duplicate-like pair: it centralizes the deterministic-algorithms setup for the same bnb 4-bit / mixed-int8 test path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13022", + "right": "pull_request:13211", + "accept": false, + "reason": "Unrelated changes: Dockerfile compatibility tweaks vs a group-offloading runtime bug." + }, + { + "left": "pull_request:1623", + "right": "pull_request:538", + "accept": false, + "reason": "Different concerns: dependency pin updates in examples vs hub package version bump." + }, + { + "left": "pull_request:1850", + "right": "pull_request:2983", + "accept": false, + "reason": "Test addition for ResnetBlock2D is unrelated to CONTRIBUTING.md test-install guidance." + }, + { + "left": "pull_request:2119", + "right": "pull_request:538", + "accept": false, + "reason": "Different code paths: local_files_only hub access fix vs dependency version bump." + }, + { + "left": "pull_request:2470", + "right": "pull_request:2983", + "accept": false, + "reason": "MPS test skips are unrelated to documentation about installing test dependencies." + }, + { + "left": "pull_request:3077", + "right": "pull_request:3675", + "accept": false, + "reason": "Different targets: a flax training data selection change vs a UniDiffuser V100 test fix." + }, + { + "left": "pull_request:3471", + "right": "pull_request:4112", + "accept": false, + "reason": "DreamBooth docs note vs DreamBooth LoRA rank support; not the same change." + }, + { + "left": "pull_request:3723", + "right": "pull_request:4112", + "accept": false, + "reason": "Reference pipeline update is unrelated to LoRA rank plumbing in DreamBooth." + }, + { + "left": "pull_request:3957", + "right": "pull_request:4595", + "accept": false, + "reason": "Different unfinished/experimental areas: attention naming cleanup vs XL-to-SD conversion WIP." + }, + { + "left": "pull_request:4248", + "right": "pull_request:6081", + "accept": false, + "reason": "Different bugs: tracker config sanitization vs scheduler sigmas handling in SDXL." + }, + { + "left": "pull_request:4396", + "right": "pull_request:6261", + "accept": false, + "reason": "Prompt dtype fallback bug fix is unrelated to moving Attend-and-Excite into its own module." + }, + { + "left": "pull_request:51", + "right": "pull_request:689", + "accept": false, + "reason": "Install-requires typo fix and slow-test attention performance change are unrelated." + }, + { + "left": "pull_request:5164", + "right": "pull_request:6007", + "accept": false, + "reason": "FreeU core mechanism is unrelated to the docs-only #Copied from mechanism update." + }, + { + "left": "pull_request:6265", + "right": "pull_request:8404", + "accept": false, + "reason": "Both touch pipeline exports, but these are different model families and refactors, not the same change." + }, + { + "left": "pull_request:6311", + "right": "pull_request:7778", + "accept": false, + "reason": "Fast Diffusion docs and a debugging workflow are unrelated." + }, + { + "left": "pull_request:6864", + "right": "pull_request:9065", + "accept": false, + "reason": "Torch.compile PEFT docs note vs adding sentencepiece as a soft dependency are unrelated." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7712", + "accept": false, + "reason": "Typos in text-to-image examples are unrelated to import fixes." + }, + { + "left": "pull_request:7050", + "right": "pull_request:9207", + "accept": false, + "reason": "Example typo fixes and CPU offloading docs are unrelated." + }, + { + "left": "pull_request:7652", + "right": "pull_request:9400", + "accept": false, + "reason": "Docker buildx workflow change is unrelated to device-agnostic single-file pipeline tests." + }, + { + "left": "pull_request:9489", + "right": "pull_request:9579", + "accept": false, + "reason": "SD3 controlnet training bugfixes and embeddings documentation updates are unrelated." + }, + { + "left": "pull_request:9074", + "right": "pull_request:9988", + "accept": false, + "reason": "Both are Flux-related, but one is a follow-up cleanup while the other is a broader Redux/conversion feature; not the same concrete fix." + }, + { + "left": "pull_request:1324", + "right": "pull_request:1579", + "accept": false, + "reason": "INT8 Stable Diffusion README work and Intel optimization examples are different feature additions." + }, + { + "left": "pull_request:11663", + "right": "pull_request:11738", + "accept": true, + "reason": "Same underlying bug: stabilizing bnb 4-bit / mixed-int8 tests with deterministic algorithms. 11738 is the more complete follow-up that moves the setting to class setup." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1206", + "accept": false, + "reason": "DreamBooth sample batch size fix and LDM layer-name conversion fix are unrelated." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13296", + "accept": false, + "reason": "Cosmos typing cleanup and CI transformer-version updates are unrelated." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3746", + "accept": false, + "reason": "Ruff/black CI refactor and from_ckpt path-joining fix are unrelated changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet: the only accepted duplicate-like pair is 11663/11738, and the rest of the soft-edge rejections stay conservative and match the shown filenames/diff themes. The summary does not overstate evidence, and the accepted PR pair looks like a single bugfix follow-up that is mergeable." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 170, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10259", + "pull_request:10326", + "pull_request:10354", + "pull_request:10419", + "pull_request:10557", + "pull_request:10723", + "pull_request:10758", + "pull_request:10808", + "pull_request:10894", + "pull_request:10922", + "pull_request:10943", + "pull_request:11252", + "pull_request:11655", + "pull_request:11726", + "pull_request:11770", + "pull_request:11869", + "pull_request:11913", + "pull_request:11995", + "pull_request:12119", + "pull_request:12324", + "pull_request:12387", + "pull_request:12418", + "pull_request:12534", + "pull_request:13208", + "pull_request:13365", + "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: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", + "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" + ], + "prepared_review_unit_hash": "f0f6cc5160173ac2726c687f1d563df8fe45232e0ac4a9cc83f313aad6ec56f9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 106709, + "estimated_input_tokens": 26678, + "estimated_eval_tokens": 53612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These pull requests are largely unrelated formatting/docs/feature fixes across different subsystems. A few pairs share a broad area (e.g. Wan, IP-Adapter, SDXL, kernels), but they do not fix the same concrete bug or implement the same change, so none of the soft edges should be merged.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR stands out in this cluster. If a representative is needed, pull_request:10922 is the most foundational and broad Wan feature PR, but it is not a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10922 is the best single representative because it is the largest, most central feature addition in the set (Wan pipelines and related exports/docs), with obvious downstream follow-up work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4944", + "right": "pull_request:6868", + "accept": false, + "reason": "Both touch IP-Adapter-related code, but 4944 is the initial support implementation while 6868 adds a separate `ip_adapter_image_embeds` path for SD pipelines; not the same change or bug." + }, + { + "left": "pull_request:6757", + "right": "pull_request:8419", + "accept": false, + "reason": "Completely unrelated: one moves sigmas to device in k-diffusion, the other removes `cached_download` usage in dynamic module loading." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7712", + "accept": false, + "reason": "Docstring typo cleanup versus import fixes; no shared underlying bug or code path." + }, + { + "left": "pull_request:7712", + "right": "pull_request:8836", + "accept": false, + "reason": "Import path fixes are unrelated to the sliced attention loop off-by-one bug." + }, + { + "left": "pull_request:8452", + "right": "pull_request:8652", + "accept": false, + "reason": "Single-file loading fix versus adding Lumina-T2X; different features and failure modes." + }, + { + "left": "pull_request:8564", + "right": "pull_request:9473", + "accept": false, + "reason": "Different training script fixes for different models and issues; not the same concrete bug." + }, + { + "left": "pull_request:10808", + "right": "pull_request:12119", + "accept": false, + "reason": "PEFT config key handling in LoRA internals versus Qwen-Image-Lightning LoRA loading support; separate changes." + }, + { + "left": "pull_request:11655", + "right": "pull_request:12534", + "accept": false, + "reason": "One is a bitsandbytes 8-bit LoRA quantization check, the other is an NPU-specific Flux pos-embed inference fix." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4346", + "accept": false, + "reason": "Both are SDXL-related, but one is a broad SDXL cleanup and the other makes watermarker behavior optional; not the same bug/change." + }, + { + "left": "pull_request:5713", + "right": "pull_request:5887", + "accept": false, + "reason": "5887 is a specific pipeline extension for IP-Adapter in ControlNet inpaint; 5713 is the broader introduction of IP-Adapter support. Related, but not duplicate." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5439", + "accept": false, + "reason": "Torch.compile LoRA conv fix versus single-file tokenizer/config loading fix; unrelated code paths." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10808", + "accept": false, + "reason": "Flux LoRA loading support and PEFT config adjustment are different issues in different loader layers." + }, + { + "left": "pull_request:11869", + "right": "pull_request:12387", + "accept": false, + "reason": "Both mention `kernels`, but one adds GGUF CUDA kernel acceleration while the other adds FlashAttention backend support through kernels; distinct implementations." + }, + { + "left": "pull_request:12324", + "right": "pull_request:13208", + "accept": false, + "reason": "Wan VACE conversion/support versus Helios video generation pipelines; completely different model families." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10557", + "accept": false, + "reason": "CI workflow syntax fix versus single-file slow test support for InstructPix2Pix; different concerns." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10894", + "accept": false, + "reason": "Workflow install-command fix versus docs toctree sorting; unrelated." + }, + { + "left": "pull_request:10354", + "right": "pull_request:9206", + "accept": false, + "reason": "Flux IP-Adapter tester behavior versus xformers test skips/fixes; different test targets and failure causes." + }, + { + "left": "pull_request:10557", + "right": "pull_request:9206", + "accept": false, + "reason": "Single-file test fixture changes versus xformers attention test repairs; unrelated test issues." + }, + { + "left": "pull_request:12418", + "right": "pull_request:13365", + "accept": false, + "reason": "CI xfail adjustments and Claude fork-review workflow changes are unrelated." + }, + { + "left": "pull_request:6929", + "right": "pull_request:7062", + "accept": false, + "reason": "Community pipeline loading docs versus an imagic community pipeline docstring fix; both documentation, but not the same change." + }, + { + "left": "pull_request:6929", + "right": "pull_request:8684", + "accept": false, + "reason": "Community pipeline docs versus a Pillow import fix in a controlnet pipeline example; unrelated." + }, + { + "left": "pull_request:11726", + "right": "pull_request:11913", + "accept": false, + "reason": "Wan LoRA conversion support versus Wan modular pipeline creation; both Wan-themed but different layers and deliverables." + }, + { + "left": "pull_request:10723", + "right": "pull_request:10758", + "accept": false, + "reason": "ControlNet Union per-control scaling versus type-checking for from_pretrained kwargs; unrelated changes." + }, + { + "left": "pull_request:11913", + "right": "pull_request:11995", + "accept": false, + "reason": "Wan modular pipelines versus Flux modular pipelines; same architectural pattern, different model family and code." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11252", + "accept": false, + "reason": "Stable Audio formatting cleanup versus a timeout constant change in a release-branch utility script." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11770", + "accept": false, + "reason": "Both are docs/cleanup oriented, but they target different files and issues: scheduler docstrings versus LoRA docs and helper docstrings." + }, + { + "left": "pull_request:10922", + "right": "pull_request:10943", + "accept": false, + "reason": "Wan base pipeline/model additions versus Wan LoRA support. They are complementary, 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": 265, + "review_unit_index": 171, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11095", + "pull_request:1129", + "pull_request:1171", + "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:3850", + "pull_request:3928", + "pull_request:4040", + "pull_request:4078", + "pull_request:4112", + "pull_request:4395", + "pull_request:4465", + "pull_request:4690", + "pull_request:5122", + "pull_request:530", + "pull_request:5312", + "pull_request:5499", + "pull_request:5695", + "pull_request:6081", + "pull_request:6099", + "pull_request:6658", + "pull_request:788", + "pull_request:9968" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "2f352425f88753b1281028bb7a5a40dd48d09bef84917da457f0e7463cc1fac7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 104076, + "estimated_input_tokens": 26019, + "estimated_eval_tokens": 52294 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it\u2019s a grab-bag of unrelated PRs spanning controlnet, DreamBooth, schedulers, docs, CI, and tests. None of the soft-edge pairs look like the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not share one concrete fix or change.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR: even the largest PRs here address different subsystems, so none is a reliable cluster representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11095", + "right": "pull_request:9968", + "accept": false, + "reason": "Different changes: a Flux ControlNet example fix vs a broad ControlNet module refactor." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1171", + "accept": false, + "reason": "Unrelated fixes: Flax DreamBooth batch sizing vs a docs typo correction." + }, + { + "left": "pull_request:12062", + "right": "pull_request:12395", + "accept": false, + "reason": "Both touch CI, but one enables all GPUs and the other changes prerelease package installation; different code-paths." + }, + { + "left": "pull_request:1250", + "right": "pull_request:326", + "accept": false, + "reason": "Completely different areas: a community pipeline addition vs type-hint cleanup in schedulers/models." + }, + { + "left": "pull_request:12934", + "right": "pull_request:13229", + "accept": false, + "reason": "Both are video-related, but one adds LTX2 distilled checkpoint support and the other adds an LTX2 VAE to Sana-video conversion." + }, + { + "left": "pull_request:1309", + "right": "pull_request:788", + "accept": false, + "reason": "Both mention image handling/docs, but one fixes PIL handling broadly while the other fixes PIL sampler warnings; not the same change." + }, + { + "left": "pull_request:1338", + "right": "pull_request:530", + "accept": false, + "reason": "ONNX inpainting cast-order fix vs img2img test adjustments; unrelated bug fixes." + }, + { + "left": "pull_request:1588", + "right": "pull_request:2861", + "accept": false, + "reason": "FP16 test harness changes vs a StableUnCLIP None-case test; different purposes and code paths." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2565", + "accept": false, + "reason": "CPU offload docs/behavior correction vs UNet1D docstring correction; not the same underlying issue." + }, + { + "left": "pull_request:2037", + "right": "pull_request:326", + "accept": false, + "reason": "A community pipeline addition and a scheduler type-hint PR are unrelated." + }, + { + "left": "pull_request:2339", + "right": "pull_request:4395", + "accept": false, + "reason": "Both involve DreamBooth, but one is checkpointing docs/tests and the other fixes class-prompt pre-encoding; different concrete bugs." + }, + { + "left": "pull_request:2347", + "right": "pull_request:4112", + "accept": false, + "reason": "Scheduler noising-schedule changes vs DreamBooth LoRA rank support; unrelated changes." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3711", + "accept": false, + "reason": "A Pix2PixZero revert and a docs-build workflow revert are unrelated." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3121", + "accept": false, + "reason": "CoreML docs addition vs ControlNet global pooling; no shared bug or code path." + }, + { + "left": "pull_request:2529", + "right": "pull_request:4465", + "accept": false, + "reason": "Different conversion flows: SD checkpoint conversion fix vs ControlNet-to-TensorRT conversion support." + }, + { + "left": "pull_request:2590", + "right": "pull_request:3681", + "accept": false, + "reason": "CI dependency-table checking vs manual checkpoint-limit handling in training scripts; unrelated." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3506", + "accept": false, + "reason": "ControlNet checkpoint conversion support vs checkpoint-resume step counting; different code paths." + }, + { + "left": "pull_request:3299", + "right": "pull_request:3589", + "accept": false, + "reason": "Both are docs/community updates, but they target different topics: LoRA loading vs reference-trick README notes." + }, + { + "left": "pull_request:3563", + "right": "pull_request:5499", + "accept": false, + "reason": "A VQ pipeline bug fix vs a documentation link fix; not the same change." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5695", + "accept": false, + "reason": "AudioDiffusion test fixes vs PixArt-Alpha mask-feature logic; unrelated." + }, + { + "left": "pull_request:3850", + "right": "pull_request:6099", + "accept": false, + "reason": "AudioDiffusion test fixes vs TextToVideoZero super-class argument fix; unrelated." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4040", + "accept": false, + "reason": "ControlNet out-of-list logic fix vs config default-values type fix; different bugs." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5122", + "accept": false, + "reason": "Single-file accelerate requirement vs Python version/workflow setup; unrelated." + }, + { + "left": "pull_request:4690", + "right": "pull_request:6081", + "accept": false, + "reason": "Different scheduler families and different fixes: DPMSolver refactor vs Euler Discrete sigma edits." + }, + { + "left": "pull_request:5312", + "right": "pull_request:6658", + "accept": false, + "reason": "Model docs/type-hints cleanup vs memory-footprint utility; 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": 1, + "component_count": 265, + "review_unit_index": 172, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10188", + "pull_request:10318", + "pull_request:10324", + "pull_request:10360", + "pull_request:10378", + "pull_request:10630", + "pull_request:10719", + "pull_request:10921", + "pull_request:11087", + "pull_request:11124", + "pull_request:11319", + "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:5053", + "pull_request:5057", + "pull_request:5440", + "pull_request:5653", + "pull_request:5698", + "pull_request:6007", + "pull_request:6145", + "pull_request:6217", + "pull_request:652", + "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:8691", + "pull_request:8761", + "pull_request:8964", + "pull_request:9206", + "pull_request:9473", + "pull_request:9751" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "86f23db64768faf3cb7de5683dd7d84e3a05f2b9c28647c94c576b42fda21f0e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 101603, + "estimated_input_tokens": 25401, + "estimated_eval_tokens": 51058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate group: it mixes unrelated PRs across docs, tests, workflows, and several distinct model/pipeline fixes. The soft-similarity links are mostly superficial (shared subsystem or filename patterns) and should be rejected.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out; the items are unrelated changes rather than variations of one bug fix or feature.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative for deduplication because the cluster does not share one underlying code-path problem or change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5698", + "right": "pull_request:6145", + "accept": false, + "reason": "LCM img2img bugfix vs LCM distillation comment cleanup; different code paths and purposes." + }, + { + "left": "pull_request:6007", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are docs changes, but they cover different topics and files; not the same underlying change." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8531", + "accept": false, + "reason": "Torch-compile VAE fix vs sharding/device_map behavior; 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different pipelines/models." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12523", + "accept": false, + "reason": "Same Wan VAE file, but one fixes patchify logic and the other adds skip-keys/loading behavior; separate issues." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12416", + "accept": false, + "reason": "Both are modular pipeline additions, but for different model families (Flux vs QwenImage Edit Plus)." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5440", + "accept": false, + "reason": "Validation image CLI parsing vs single-file loading/local_files_only; unrelated changes." + }, + { + "left": "pull_request:10324", + "right": "pull_request:9206", + "accept": false, + "reason": "Kandinsky CPU offload fix in code vs xformers test skips in multiple pipelines; not the same bug." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11124", + "accept": false, + "reason": "Failing Flax test slice updates vs CogView4 test fixture change; unrelated test maintenance." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12277", + "accept": false, + "reason": "Both touch tests and xformers-related flags, but they target different pipelines and different failure modes." + }, + { + "left": "pull_request:1277", + "right": "pull_request:1579", + "accept": false, + "reason": "Workflow/doc-builder change vs adding research project examples; only loosely related to docs." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5653", + "accept": false, + "reason": "SDXL clip-skip support vs PEFT-aware model unwrapping; different features with no shared bug." + }, + { + "left": "pull_request:10188", + "right": "pull_request:8691", + "accept": false, + "reason": "Flux LoRA expansion handling vs vanilla LoRA loading logic; same subsystem, different concrete defects." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10719", + "accept": false, + "reason": "Flux LoRA integration tests vs provider_options plumbing in from_pretrained; tests vs API loading change." + }, + { + "left": "pull_request:10360", + "right": "pull_request:8964", + "accept": false, + "reason": "Release workflow PyPI URL fix vs AudioLDM2 cache-position fix; unrelated changes." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11319", + "accept": false, + "reason": "DreamBooth LoRA training fix vs community projects docs; completely different areas." + }, + { + "left": "pull_request:10921", + "right": "pull_request:11087", + "accept": false, + "reason": "Wan 2.1 support scaffolding vs Wan I2V quality tweak; related ecosystem, but not one mergeable 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": 1, + "component_count": 265, + "review_unit_index": 173, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11196", + "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:4855", + "pull_request:5754", + "pull_request:5771", + "pull_request:5948", + "pull_request:6144", + "pull_request:6150", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6432", + "pull_request:6904", + "pull_request:7044", + "pull_request:7216", + "pull_request:7455", + "pull_request:7662", + "pull_request:7738", + "pull_request:833", + "pull_request:8496", + "pull_request:9878" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "f2320e665d6fe459f93fb79122573ef1a2e03e93bd4466903c5e19f67f90bb91", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 100060, + "estimated_input_tokens": 25015, + "estimated_eval_tokens": 50286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a set of mostly unrelated pull requests with only superficial overlaps in file area or theme. None of the soft-paired PRs look like the same underlying bug or mergeable change, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No issue artifacts are present in this cluster.", + "canonical_pr_reason": "No single PR cleanly represents a duplicate set here; the items span unrelated fixes, docs, CI, refactors, and features.", + "best_issue_reason": "No issue to select as a canonical or representative artifact.", + "best_pr_reason": "No PR is a good global representative because the pairings are not true duplicates and cover different code paths or concerns.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11196", + "right": "pull_request:12363", + "accept": false, + "reason": "Revert of save_pretrained/safe_serialization behavior vs QwenImageEdit Plus docs/test update; unrelated changes." + }, + { + "left": "pull_request:11421", + "right": "pull_request:9878", + "accept": false, + "reason": "Dreambooth image interpolation default vs gradient-checkpointing-in-eval change across many models; 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unrelated." + }, + { + "left": "pull_request:3297", + "right": "pull_request:4596", + "accept": false, + "reason": "Retrieval-augmented diffusion project addition vs SDXL conversion script; different features and targets." + }, + { + "left": "pull_request:3446", + "right": "pull_request:5754", + "accept": false, + "reason": "Pipeline warning message fix vs formatting-only cleanup; unrelated." + }, + { + "left": "pull_request:3607", + "right": "pull_request:3804", + "accept": false, + "reason": "Temb attention fix vs legacy attention weight conversion/device-map support; both touch attention code but solve different problems." + }, + { + "left": "pull_request:3708", + "right": "pull_request:5948", + "accept": false, + "reason": "Replace distutils version sorting vs variant-loading warning condition fix; unrelated." + }, + { + "left": "pull_request:3847", + "right": "pull_request:6150", + "accept": false, + "reason": "Soft-dependency test/workflow addition vs IP-Adapter converter method; unrelated." + }, + { + "left": "pull_request:3912", + "right": "pull_request:6144", + "accept": false, + "reason": "Feature to finetune text encoder in LoRA training vs saving LoRA weights from unwrapped model; same script but different behavior and no shared bug." + }, + { + "left": "pull_request:4855", + "right": "pull_request:6904", + "accept": false, + "reason": "Offloading/side-loading support vs PIL image input support; unrelated loader/runtime changes." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6262", + "accept": false, + "reason": "Large loader refactor vs moving panorama pipeline out of stable_diffusion; different refactors in different subsystems." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6263", + "accept": false, + "reason": "Loader refactor vs LDM3D pipeline move; unrelated." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6264", + "accept": false, + "reason": "Loader refactor vs SAG pipeline move; unrelated." + }, + { + "left": "pull_request:6432", + "right": "pull_request:7216", + "accept": false, + "reason": "README learning-rate tweak vs from_single_file signature update; unrelated." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7662", + "accept": false, + "reason": "UNet refactor re-addition vs removing redundant Flax CI installs; unrelated." + }, + { + "left": "pull_request:7455", + "right": "pull_request:7662", + "accept": false, + "reason": "Removing distutils usage vs CI cleanup; unrelated." + }, + { + "left": "pull_request:7738", + "right": "pull_request:8496", + "accept": false, + "reason": "LoRA device-placement test fix vs SD3 transformer warning-log guard; different bugs 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": 265, + "review_unit_index": 174, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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:10351", + "pull_request:10544", + "pull_request:10547", + "pull_request:10557", + "pull_request:10810", + "pull_request:10894", + "pull_request:10922", + "pull_request:11059", + "pull_request:11243", + "pull_request:11252", + "pull_request:12109", + "pull_request:12215", + "pull_request:12315", + "pull_request:12416", + "pull_request:12424", + "pull_request:12519", + "pull_request:13352", + "pull_request:3001", + "pull_request:3128", + "pull_request:4352", + "pull_request:4417", + "pull_request:4986", + "pull_request:5261", + "pull_request:5361", + "pull_request:5419", + "pull_request:5938", + "pull_request:6303", + "pull_request:6975", + "pull_request:7359", + "pull_request:8467", + "pull_request:8618", + "pull_request:8627", + "pull_request:8964", + "pull_request:9060", + "pull_request:9175", + "pull_request:9569", + "pull_request:9676", + "pull_request:9684", + "pull_request:9687", + "pull_request:9918", + "pull_request:9938", + "pull_request:9985" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "359bc04cb7ac5990bc5bac90127f866adf2cc6fc7d5b924595ad08c6627e5675", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 103324, + "estimated_input_tokens": 25831, + "estimated_eval_tokens": 51918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "I don\u2019t see true duplicates here: the soft pairs mostly share only broad areas like Flux, LoRA, schedulers, docs, or CI, but they target different concrete bugs or features. I rejected all soft edges and do not see a strong canonical issue; the closest canonical PR anchor is the broad Flux feature PR 9985.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9985 is the broadest, most heavily reviewed merged feature in this set and is the closest thing to a representative anchor, even though the surrounding items are not true duplicates of it.", + "best_issue_reason": null, + "best_pr_reason": "PR 9985 is the strongest overall representative by scope and review activity; it is the most substantial merged PR among the items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8467", + "right": "pull_request:9569", + "accept": false, + "reason": "Different fixes for different models/pipelines: SEGA pipeline behavior vs CogVideoX VAE decode batching." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9918", + "accept": false, + "reason": "SD3 tiny autoencoder shift-factor change is unrelated to the server 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the push-test addition are not the same bug/change." + }, + { + "left": "pull_request:6303", + "right": "pull_request:7359", + "accept": false, + "reason": "ADD training scripts and ResAdapter training are distinct research examples." + }, + { + "left": "pull_request:3001", + "right": "pull_request:4986", + "accept": false, + "reason": "Karras support in DPMSolver is not the same as the broader sigma-based scheduler refactor." + }, + { + "left": "pull_request:3128", + "right": "pull_request:5261", + "accept": false, + "reason": "Img2img timestep slicing and callback step-index reporting are separate scheduler-related fixes." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12416", + "accept": false, + "reason": "UniPC custom sigma/timestep support and QwenImage Edit Plus modular support are unrelated changes." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12416", + "accept": false, + "reason": "QwenImage ControlNet support and QwenImage Edit Plus 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unrelated." + }, + { + "left": "pull_request:10810", + "right": "pull_request:9687", + "accept": false, + "reason": "Flux LoRA conversion support and Flux ControlNet support are different concrete features." + }, + { + "left": "pull_request:10894", + "right": "pull_request:9676", + "accept": false, + "reason": "Toctree sorting cleanup and an EntryNotFoundError import fix are unrelated." + }, + { + "left": "pull_request:11059", + "right": "pull_request:12315", + "accept": false, + "reason": "Wan LoRA conversion support and lora-test scheduler simplification are not the same change." + }, + { + "left": "pull_request:11252", + "right": "pull_request:12424", + "accept": false, + "reason": "Timeout constant cleanup and docker/workflow definition fixes 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": 265, + "review_unit_index": 175, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11743", + "pull_request:11813", + "pull_request:11894", + "pull_request:12018", + "pull_request:12231", + "pull_request:12315", + "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:2919", + "pull_request:3003", + "pull_request:3037", + "pull_request:3047", + "pull_request:3241", + "pull_request:3245", + "pull_request:3370", + "pull_request:3398", + "pull_request:3536", + "pull_request:3568", + "pull_request:3614", + "pull_request:3675", + "pull_request:3766", + "pull_request:3850", + "pull_request:4058", + "pull_request:4188", + "pull_request:5053", + "pull_request:5396", + "pull_request:889", + "pull_request:908", + "pull_request:957" + ], + "soft_pairs": [ + "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:5053", + "pull_request:2919|pull_request:3037", + "pull_request:3003|pull_request:4058", + "pull_request:3047|pull_request:3241", + "pull_request:3370|pull_request:3568", + "pull_request:3536|pull_request:3675", + "pull_request:3850|pull_request:5396" + ], + "prepared_review_unit_hash": "b7208705d2cea1419e726fa6f90b1504cfdacec77da3c3bc3c66940f81e07380", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96715, + "estimated_input_tokens": 24179, + "estimated_eval_tokens": 48614 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: docs typos, test tweaks, CI maintenance, training scripts, and unrelated model/runtime fixes. I don\u2019t see a single underlying bug or change that ties them together as duplicates.", + "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:11743", + "right": "pull_request:11813", + "accept": false, + "reason": "Both are FLUX training-related, but they target different variants and add different scripts/docs; not the same concrete change." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12450", + "accept": false, + "reason": "Both touch CI/install files, but 11894 only pins k-diffusion while 12450 broadly revisits multiple CI setups and dependencies." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12231", + "accept": false, + "reason": "A link fix and a typo cleanup across example docs are unrelated edits, not one bug or patch." + }, + { + "left": "pull_request:12315", + "right": "pull_request:13119", + "accept": false, + "reason": "One is test simplification across LoRA schedulers; the other fixes Flux2 LoRA key conversion logic. Different code paths." + }, + { + "left": "pull_request:13120", + "right": "pull_request:13204", + "accept": false, + "reason": "One adds modular pipeline tests, the other changes component update behavior for remote-code handling; not the same fix." + }, + { + "left": "pull_request:1414", + "right": "pull_request:957", + "accept": false, + "reason": "A clip-guided cutout-size fix is unrelated to the text-to-image scheduler bug in the other PR." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2529", + "accept": false, + "reason": "Broad Stable Diffusion cleanup is not the same as the specific checkpoint conversion fallback fix." + }, + { + "left": "pull_request:1468", + "right": "pull_request:1494", + "accept": false, + "reason": "Saving trained betas and adding safetensors serialization are different model-saving features." + }, + { + "left": "pull_request:1945", + "right": "pull_request:3766", + "accept": false, + "reason": "UNet block tests and Kandinsky UNet conversion-script updates do not address the same issue." + }, + { + "left": "pull_request:1951", + "right": "pull_request:225", + "accept": false, + "reason": "An update to ColossalAI integration and a README release note are unrelated changes." + }, + { + "left": "pull_request:1965", + "right": "pull_request:908", + "accept": false, + "reason": "Checkpoint merger cleanup and a stable-diffusion mega inpaint pipeline fix are different code changes." + }, + { + "left": "pull_request:2101", + "right": "pull_request:2734", + "accept": false, + "reason": "Both are docs updates, but they cover different pipelines and different content corrections." + }, + { + "left": "pull_request:2314", + "right": "pull_request:3614", + "accept": false, + "reason": "These are separate test-maintenance PRs in different areas; they don\u2019t fix the same failing behavior." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4188", + "accept": false, + "reason": "MPS test skips and SDXL ControlNet training follow-up fixes are unrelated." + }, + { + "left": "pull_request:2553", + "right": "pull_request:889", + "accept": false, + "reason": "A Flax CFG flag change and adding pipeline components documentation are different features." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3245", + "accept": false, + "reason": "Quicktour typo cleanup and Chinese docs restructuring/translations are not the same underlying change." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3398", + "accept": false, + "reason": "Both are docs edits, but they fix different typos in different pages." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3245", + "accept": false, + "reason": "A docs wording/update change and a translated docs tree refresh are unrelated." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3398", + "accept": false, + "reason": "One updates a training doc page; the other fixes a Stable Diffusion typo. Different scope and content." + }, + { + "left": "pull_request:2915", + "right": "pull_request:5053", + "accept": false, + "reason": "A slow-test tolerance adjustment is unrelated to adding nargs to a validation_image CLI argument." + }, + { + "left": "pull_request:2919", + "right": "pull_request:3037", + "accept": false, + "reason": "Speeding up a unit test and skipping an unstable MPS test are different test-maintenance actions." + }, + { + "left": "pull_request:3003", + "right": "pull_request:4058", + "accept": false, + "reason": "Dynamic-thresholding bug fixes are unrelated to SDXL doc formatting/imagery updates." + }, + { + "left": "pull_request:3047", + "right": "pull_request:3241", + "accept": false, + "reason": "Report-name CI plumbing and UnCLIP fast-test tolerance are separate fixes." + }, + { + "left": "pull_request:3370", + "right": "pull_request:3568", + "accept": false, + "reason": "A PyTorch 2.0 docs refresh and a broken-links docs patch are not the same issue." + }, + { + "left": "pull_request:3536", + "right": "pull_request:3675", + "accept": false, + "reason": "IF super-resolution input normalization and a UniDiffuser V100 test fix are unrelated." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5396", + "accept": false, + "reason": "Audio diffusion test setup and stale-bot timezone handling are completely separate concerns." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 176, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4211", + "pull_request:4319", + "pull_request:4564", + "pull_request:4666", + "pull_request:4749", + "pull_request:4787", + "pull_request:5030", + "pull_request:508", + "pull_request:51", + "pull_request:5122", + "pull_request:5157", + "pull_request:5275", + "pull_request:5393", + "pull_request:5506", + "pull_request:5579", + "pull_request:5626", + "pull_request:564", + "pull_request:5672", + "pull_request:5699", + "pull_request:5707", + "pull_request:6049", + "pull_request:6065", + "pull_request:6075", + "pull_request:6163", + "pull_request:6215", + "pull_request:6229", + "pull_request:6305", + "pull_request:6389", + "pull_request:6450", + "pull_request:6588", + "pull_request:6764", + "pull_request:6772", + "pull_request:6997", + "pull_request:7328", + "pull_request:7359", + "pull_request:7442", + "pull_request:7464", + "pull_request:748", + "pull_request:7653", + "pull_request:7679", + "pull_request:7771", + "pull_request:7778", + "pull_request:7825", + "pull_request:8386", + "pull_request:8825", + "pull_request:9065", + "pull_request:9442" + ], + "soft_pairs": [ + "pull_request:4211|pull_request:5699", + "pull_request:4319|pull_request:4564", + "pull_request:4666|pull_request:6450", + "pull_request:4749|pull_request:5393", + "pull_request:4787|pull_request:5157", + "pull_request:5030|pull_request:6075", + "pull_request:508|pull_request:564", + "pull_request:51|pull_request:748", + "pull_request:5122|pull_request:5579", + "pull_request:5275|pull_request:6305", + "pull_request:5506|pull_request:7679", + "pull_request:5626|pull_request:6163", + "pull_request:5672|pull_request:6215", + "pull_request:5707|pull_request:6997", + "pull_request:6049|pull_request:7464", + "pull_request:6065|pull_request:6588", + "pull_request:6229|pull_request:7771", + "pull_request:6229|pull_request:8386", + "pull_request:6389|pull_request:7653", + "pull_request:6764|pull_request:7778", + "pull_request:6772|pull_request:8825", + "pull_request:7328|pull_request:9065", + "pull_request:7359|pull_request:7442", + "pull_request:7825|pull_request:9442" + ], + "prepared_review_unit_hash": "48514085584c205ba9834af004078241b5549c98e65229bc7c52af917c21a230", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 96620, + "estimated_input_tokens": 24155, + "estimated_eval_tokens": 48566 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most pairs are only superficially similar by subsystem or title wording, but they do not fix the same concrete bug/change. I rejected all soft edges and treated the cluster as non-duplicate PRs grouped by loose similarity.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6772 is the most substantial and concrete change in the set: a large merged implementation for ControlNet-XS with related docs, examples, model code, and tests. It is a better representative artifact than the many tiny doc/test/workflow fixes here.", + "best_issue_reason": null, + "best_pr_reason": "PR 6772 is the strongest representative PR in this mixed cluster because it has the broadest, most clearly defined feature implementation and the richest supporting changes; the others are narrower maintenance or unrelated fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4211", + "right": "pull_request:5699", + "accept": false, + "reason": "Different fixes in different pipelines: SDXL inpainting docstring cleanup vs unCLIP/stable unclip style rename. Same broad area, not the same underlying change." + }, + { + "left": "pull_request:4319", + "right": "pull_request:4564", + "accept": false, + "reason": "Both concern SDXL licensing/docs, but one updates training-script model cards and the other renames the ControlNet repo/model card. Not the same bug or change." + }, + { + "left": "pull_request:4666", + "right": "pull_request:6450", + "accept": false, + "reason": "Both touch LoRA-related behavior, but 4666 adds SDXL ControlNet LoRA support while 6450 is a LoRA test/deprecation cleanup. Different code paths and goals." + }, + { + "left": "pull_request:4749", + "right": "pull_request:5393", + "accept": false, + "reason": "Both involve SDXL/dreambooth examples, but one fixes LoRA checkpoint loading and the other migrates examples to HFApi. Distinct changes." + }, + { + "left": "pull_request:4787", + "right": "pull_request:5157", + "accept": false, + "reason": "Both modify loaders.py for LoRA weight handling, but 4787 tightens weight-file selection while 5157 fixes Kohya/ControlNet LoRA name conversion. Related subsystem, different bug." + }, + { + "left": "pull_request:5030", + "right": "pull_request:6075", + "accept": false, + "reason": "Model CPU offload bug fix vs test-only cache cleanup. No shared concrete code-path problem." + }, + { + "left": "pull_request:508", + "right": "pull_request:564", + "accept": false, + "reason": "Scheduler-related and overlapping files, but 508 adds/updates flax schedulers broadly while 564 only updates Flax scheduler docs. Not mergeable as one duplicate PR." + }, + { + "left": "pull_request:51", + "right": "pull_request:748", + "accept": false, + "reason": "Packaging metadata fix vs training-script hub push fix. Completely different changes." + }, + { + "left": "pull_request:5122", + "right": "pull_request:5579", + "accept": false, + "reason": "Workflow/Python-version update vs PEFT/transformers minimum-version bump. Same CI ecosystem, different concrete issue." + }, + { + "left": "pull_request:5275", + "right": "pull_request:6305", + "accept": false, + "reason": "SDXL example addition vs DDPMScheduler zero-SNR feature. Unrelated changes." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7679", + "accept": false, + "reason": "Attention processor scaling bug vs CI workflow installing peft differently. Different code paths." + }, + { + "left": "pull_request:5626", + "right": "pull_request:6163", + "accept": false, + "reason": "CPU offload test correction vs LoRA test additions. Both are tests, but not the same underlying defect." + }, + { + "left": "pull_request:5672", + "right": "pull_request:6215", + "accept": false, + "reason": "Same PixArt test file, but one adds non-square image support and the other changes VAE initialization/test expectations. Related area, not the same bug." + }, + { + "left": "pull_request:5707", + "right": "pull_request:6997", + "accept": false, + "reason": "LCM test expansion vs adding LoRA support to a spatiotemporal UNet. Different features and code paths." + }, + { + "left": "pull_request:6049", + "right": "pull_request:7464", + "accept": false, + "reason": "DemoFusion community example fix vs LDM3D community import fix. Both community examples, but unrelated." + }, + { + "left": "pull_request:6065", + "right": "pull_request:6588", + "accept": false, + "reason": "SDXL Turbo docs/model registration vs updating SDXL k-diffusion slow-test expectations. Documentation/test maintenance, not the same change." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7771", + "accept": false, + "reason": "Adding peft to fast push tests vs marking a ControlNetXS unit test flaky. Different CI/test issues." + }, + { + "left": "pull_request:6229", + "right": "pull_request:8386", + "accept": false, + "reason": "Workflow dependency install fix vs broad test refactor to use output_shape. Not the same underlying problem." + }, + { + "left": "pull_request:6389", + "right": "pull_request:7653", + "accept": false, + "reason": "Stable Video Diffusion API type/doc tweak vs config utility decorator fix. Different components and intent." + }, + { + "left": "pull_request:6764", + "right": "pull_request:7778", + "accept": false, + "reason": "Serialization guidance docs vs adding a debugging SSH workflow. Not duplicates." + }, + { + "left": "pull_request:6772", + "right": "pull_request:8825", + "accept": false, + "reason": "ControlNet-XS implementation vs adding ControlNet/IP-Adapter support to SDXL k-diffusion. Same broad modeling area, but different concrete pipelines and code paths." + }, + { + "left": "pull_request:7328", + "right": "pull_request:9065", + "accept": false, + "reason": "PyPI workflow dependency tweak vs adding sentencepiece optional dependency support. Different build/runtime concerns." + }, + { + "left": "pull_request:7359", + "right": "pull_request:7442", + "accept": false, + "reason": "Two separate community research projects (ResAdapter vs Differential Diffusion). Not the same feature or bug." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9442", + "accept": false, + "reason": "Device-map/offload test guard vs CI fix for deprecated attention blocks. Both test infrastructure, but unrelated 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": 265, + "review_unit_index": 177, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11067", + "pull_request:11522", + "pull_request:11809", + "pull_request:12119", + "pull_request:1229", + "pull_request:12416", + "pull_request:12445", + "pull_request:12530", + "pull_request:12960", + "pull_request:13169", + "pull_request:13211", + "pull_request:13330", + "pull_request:13355", + "pull_request:153", + "pull_request:2034", + "pull_request:2037", + "pull_request:2295", + "pull_request:2327", + "pull_request:2339", + "pull_request:2959", + "pull_request:3313", + "pull_request:3859", + "pull_request:4278", + "pull_request:4749", + "pull_request:4761", + "pull_request:4887", + "pull_request:5003", + "pull_request:5057", + "pull_request:5261", + "pull_request:5579", + "pull_request:5807", + "pull_request:5823", + "pull_request:6099", + "pull_request:6208", + "pull_request:6972", + "pull_request:7158", + "pull_request:7189", + "pull_request:8627", + "pull_request:8660", + "pull_request:8856", + "pull_request:9242", + "pull_request:9307", + "pull_request:9311", + "pull_request:9446", + "pull_request:9592", + "pull_request:9593", + "pull_request:9705", + "pull_request:9718" + ], + "soft_pairs": [ + "pull_request:8627|pull_request:9307", + "pull_request:8660|pull_request:9592", + "pull_request:8660|pull_request:9593", + "pull_request:9242|pull_request:9718", + "pull_request:9446|pull_request:9705", + "pull_request:3313|pull_request:4278", + "pull_request:12445|pull_request:13169", + "pull_request:7189|pull_request:8856", + "pull_request:12119|pull_request:12416", + "pull_request:5261|pull_request:5807", + "pull_request:8856|pull_request:9311", + "pull_request:2034|pull_request:2959", + "pull_request:3859|pull_request:5057", + "pull_request:5579|pull_request:5823", + "pull_request:11067|pull_request:11522", + "pull_request:11809|pull_request:12530", + "pull_request:1229|pull_request:2339", + "pull_request:12960|pull_request:13211", + "pull_request:13330|pull_request:13355", + "pull_request:153|pull_request:2037", + "pull_request:2295|pull_request:2327", + "pull_request:4749|pull_request:6099", + "pull_request:4761|pull_request:6972", + "pull_request:4887|pull_request:6208", + "pull_request:5003|pull_request:7158" + ], + "prepared_review_unit_hash": "9d2a1edf3388ec49bfccff786088694be0eebd1161d74e9fd1ffbe0fec8f3d1a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 103542, + "estimated_input_tokens": 25886, + "estimated_eval_tokens": 52028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs spanning CI, docs, tests, pipelines, quantization, and utilities. The soft pairs mostly share only broad subsystem names or superficial similarity, not the same concrete bug/change, 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": "pull_request:8627", + "right": "pull_request:9307", + "accept": false, + "reason": "Different work: SD3 controlnet test-size reduction vs rotary embedding CPU/device refactor. No shared bug or code path." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9592", + "accept": false, + "reason": "One changes SD3 controlnet input validation; the other is Flax docstring cleanup. Same topic area only at a very high level." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9593", + "accept": false, + "reason": "Different artifacts and intent: SD3 controlnet logic vs community hd_painter docstring refactor." + }, + { + "left": "pull_request:9242", + "right": "pull_request:9718", + "accept": false, + "reason": "Torch/XPU testing support is unrelated to adding a prompt scheduling callback to community script listings." + }, + { + "left": "pull_request:9446", + "right": "pull_request:9705", + "accept": false, + "reason": "XLA training README/script updates are unrelated to FLUX README wording changes." + }, + { + "left": "pull_request:3313", + "right": "pull_request:4278", + "accept": false, + "reason": "Both touch Stable Diffusion upscale, but one fixes compile/runtime numeric issues broadly while the other fixes prompt=None batch sizing. Different bugs." + }, + { + "left": "pull_request:12445", + "right": "pull_request:13169", + "accept": false, + "reason": "Flux modular refactor and Flux Klein PEFT LoRA format support solve different problems and would not plausibly be one PR." + }, + { + "left": "pull_request:7189", + "right": "pull_request:8856", + "accept": false, + "reason": "Both involve image-embedding handling, but one fixes IP-Adapter Plus embeds; the other fixes img2img batch duplication with generators across several pipelines. Not the same bug." + }, + { + "left": "pull_request:12119", + "right": "pull_request:12416", + "accept": false, + "reason": "Qwen Image Lightning LoRA support vs Qwen Image Edit Plus modular support are separate feature additions with different code paths." + }, + { + "left": "pull_request:5261", + "right": "pull_request:5807", + "accept": false, + "reason": "Both are community pipeline docs/code changes, but one fixes callback step semantics and the other adds num_images_per_prompt support for LPW SDXL. Different changes." + }, + { + "left": "pull_request:8856", + "right": "pull_request:9311", + "accept": false, + "reason": "Img2img generator/image duplication bug vs SDXL controlnet CFG cutoff callback are unrelated." + }, + { + "left": "pull_request:2034", + "right": "pull_request:2959", + "accept": false, + "reason": "DiT test shape update and UNet3D norm-group test fix are separate test maintenance changes, not the same issue." + }, + { + "left": "pull_request:3859", + "right": "pull_request:5057", + "accept": false, + "reason": "SDXL pipeline addition and clip-skip support are different feature efforts despite overlapping files." + }, + { + "left": "pull_request:5579", + "right": "pull_request:5823", + "accept": false, + "reason": "Transformers minimum-version bump for PEFT integration is unrelated to adding adapter_names to fuse_lora." + }, + { + "left": "pull_request:11067", + "right": "pull_request:11522", + "accept": false, + "reason": "Benchmark pinning of transformers and Audioldm2 transformers-main compatibility fix are unrelated CI/test maintenance items." + }, + { + "left": "pull_request:11809", + "right": "pull_request:12530", + "accept": false, + "reason": "Adjusting float16 test tolerances and xfail-ing a separate Stable Cascade test are different test-compatibility fixes." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2339", + "accept": false, + "reason": "Dreambooth README install guidance vs Dreambooth checkpointing docs/tests are not the same underlying change." + }, + { + "left": "pull_request:12960", + "right": "pull_request:13211", + "accept": false, + "reason": "FSDP detection in dreambooth scripts is unrelated to group-offloading fallback for conditional modules." + }, + { + "left": "pull_request:13330", + "right": "pull_request:13355", + "accept": false, + "reason": "TorchAO test harness changes and TorchAO version guard bump are separate quantization concerns." + }, + { + "left": "pull_request:153", + "right": "pull_request:2037", + "accept": false, + "reason": "Issue template additions and a community pipeline addition are unrelated repository setup vs feature work." + }, + { + "left": "pull_request:2295", + "right": "pull_request:2327", + "accept": false, + "reason": "Both touch UNet internals, but one is making transformer layers configurable while the other adds input-length validation. 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I found no true duplicate pair among the soft edges.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the items are not duplicates and span unrelated changes. If a representative is needed, #12450 is the broadest substantive PR in the set.", + "best_issue_reason": null, + "best_pr_reason": "#12450 is the most substantial and central-looking change in the cluster (a broad CI/dependency install overhaul), but it is still not a duplicate target for the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11583", + "right": "pull_request:12134", + "accept": false, + "reason": "Both are docs PRs, but they change different tutorials/pages and address unrelated documentation cleanup." + }, + { + "left": "pull_request:11722", + "right": "pull_request:12233", + "accept": false, + "reason": "A misleading comment fix in one script is unrelated to a docs title/link tweak." + }, + { + "left": "pull_request:1194", + "right": "pull_request:3172", + "accept": false, + "reason": "Different concerns: PR docs workflow updates vs a reproducibility/docs content change." + }, + { + "left": "pull_request:1194", + "right": "pull_request:45", + "accept": false, + "reason": "Both touch doc workflows, but they are different workflow changes and not the same underlying fix." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12391", + "accept": false, + "reason": "Same docs file area, but one is a link/text fix while the other restructures quantization docs and navigation." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12797", + "accept": false, + "reason": "Unrelated docs fixes in different topics; not the same underlying change." + }, + { + "left": "pull_request:12142", + "right": "pull_request:13022", + "accept": false, + "reason": "Pipeline dtype/mask bug fix is unrelated to Dockerfile dependency changes." + }, + { + "left": "pull_request:12143", + "right": "pull_request:13022", + "accept": false, + "reason": "Test cleanup plus the Wan VACE dtype fix is unrelated to Dockerfile changes." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12705", + "accept": false, + "reason": "Both are typo-oriented, but they fix different text across different files and are not the same bug." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2983", + "accept": false, + "reason": "Dreambooth dependency instructions and testing-dependency docs are different documentation issues." + }, + { + "left": "pull_request:12330", + "right": "pull_request:13218", + "accept": false, + "reason": "Different test refactors for different pipelines; no shared underlying bug." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12434", + "accept": false, + "reason": "Chroma docs wording fix and text-to-image PEFT version pin are unrelated." + }, + { + "left": "pull_request:12450", + "right": "pull_request:13164", + "accept": false, + "reason": "Both involve CI installs, but #12450 is a broad CI dependency overhaul while #13164 narrowly removes test deps; not the same concrete change." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13454", + "accept": false, + "reason": "Different test accommodations in different pipelines; not the same failure or code path." + }, + { + "left": "pull_request:12631", + "right": "pull_request:13076", + "accept": false, + "reason": "A distributed inference doc fix is unrelated to a quantization syntax correction." + }, + { + "left": "pull_request:12644", + "right": "pull_request:12675", + "accept": false, + "reason": "AutoModel docs and Sana video docs touch different documentation surfaces and different topics." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12856", + "accept": false, + "reason": "Kandinsky5 pipeline implementation vs z-image-omni-base implementation are distinct feature changes." + }, + { + "left": "pull_request:1292", + "right": "pull_request:2405", + "accept": false, + "reason": "Both are revert-related, but they revert different commits and cover different codebases and changes." + }, + { + "left": "pull_request:1397", + "right": "pull_request:1423", + "accept": false, + "reason": "SD2 attention slicing support and Flax SD2 support are separate feature additions, not one bug fix." + }, + { + "left": "pull_request:1437", + "right": "pull_request:3331", + "accept": false, + "reason": "A typo fix in stable diffusion code and an inpainting docs typo are unrelated." + }, + { + "left": "pull_request:1508", + "right": "pull_request:3561", + "accept": false, + "reason": "Both mention Dreambooth, but one clarifies training docs/scripts while the other changes IF-stage training/upscaling behavior." + }, + { + "left": "pull_request:1508", + "right": "pull_request:748", + "accept": false, + "reason": "Dreambooth prior-preservation docs/training clarification is unrelated to the push_to_hub bug fix." + }, + { + "left": "pull_request:1697", + "right": "pull_request:1951", + "accept": false, + "reason": "Composable diffusion README/example update and ColossalAI integration update are unrelated." + }, + { + "left": "pull_request:1765", + "right": "pull_request:564", + "accept": false, + "reason": "One is a Dreambooth/Flax training cleanup, the other is a Flax scheduler fix; different code paths." + }, + { + "left": "pull_request:1788", + "right": "pull_request:570", + "accept": false, + "reason": "DDIM scheduler behavior fix is unrelated to BaseOutput initialization semantics." + }, + { + "left": "pull_request:1850", + "right": "pull_request:2959", + "accept": false, + "reason": "These are test additions for different model classes and different behaviors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 184, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1903", + "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:2490", + "pull_request:2598", + "pull_request:2811", + "pull_request:2817", + "pull_request:2894", + "pull_request:3006", + "pull_request:3042", + "pull_request:3172", + "pull_request:3183", + "pull_request:3201", + "pull_request:3226", + "pull_request:326", + "pull_request:3265", + "pull_request:3294", + "pull_request:3295", + "pull_request:3331", + "pull_request:3410", + "pull_request:3462", + "pull_request:3541", + "pull_request:3589", + "pull_request:3608", + "pull_request:3673", + "pull_request:3681", + "pull_request:3709", + "pull_request:3716", + "pull_request:396", + "pull_request:4078", + "pull_request:4132", + "pull_request:416", + "pull_request:4211", + "pull_request:5024", + "pull_request:5201", + "pull_request:533", + "pull_request:5505", + "pull_request:703", + "pull_request:806", + "pull_request:840", + "pull_request:975" + ], + "soft_pairs": [ + "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", + "pull_request:3042|pull_request:4078", + "pull_request:3183|pull_request:3541", + "pull_request:3294|pull_request:5201", + "pull_request:3295|pull_request:5505", + "pull_request:3331|pull_request:4211", + "pull_request:3410|pull_request:4078", + "pull_request:3462|pull_request:3673", + "pull_request:3589|pull_request:5024", + "pull_request:3608|pull_request:5505", + "pull_request:3681|pull_request:4132" + ], + "prepared_review_unit_hash": "a24bb92605c0c8bfd7669298c49b7607cd963f7ce694470997e8bf2305e56d9b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 96724, + "estimated_input_tokens": 24181, + "estimated_eval_tokens": 48618 + }, + "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. These items span unrelated docs, example scripts, training bugs, scheduler fixes, and feature work, so I rejected all soft edges. The strongest standalone representative is the broad textual-inversion loader PR.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2009 is the most substantial and foundational change in the set: it adds textual inversion loader support across many Stable Diffusion pipelines and has the highest breadth of impact/review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 2009 is the best overall representative because it is broad, coherent, and well-reviewed, unlike the many narrow doc/typo/example fixes in the rest of the set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1903", + "right": "pull_request:3006", + "accept": false, + "reason": "Comment cleanup in depth2img vs DDPM variance math fix; different code paths and bugs." + }, + { + "left": "pull_request:2009", + "right": "pull_request:2183", + "accept": false, + "reason": "Textual inversion loader integration vs a tokenizer/logging hotfix in an example script; not the same change." + }, + { + "left": "pull_request:2103", + "right": "pull_request:806", + "accept": false, + "reason": "Model-tag docs vs adding EMA training support; unrelated changes." + }, + { + "left": "pull_request:2129", + "right": "pull_request:3716", + "accept": false, + "reason": "LoRA pipeline plumbing vs adding ParaDiGMS; different features." + }, + { + "left": "pull_request:2257", + "right": "pull_request:840", + "accept": false, + "reason": "UnCLIP text interpolation pipeline vs one-step UNet community example; different pipelines." + }, + { + "left": "pull_request:2330", + "right": "pull_request:3226", + "accept": false, + "reason": "Ethical guidelines docs vs ControlNet v1.1 docs; unrelated documentation." + }, + { + "left": "pull_request:2349", + "right": "pull_request:396", + "accept": false, + "reason": "Karras scheduler overview docs vs DDIM docs; different doc topics." + }, + { + "left": "pull_request:2349", + "right": "pull_request:416", + "accept": false, + "reason": "Scheduler docs vs model API docs; not the same underlying change." + }, + { + "left": "pull_request:2365", + "right": "pull_request:326", + "accept": false, + "reason": "Scheduler type-note change vs PNDM type-hint PR; related area but different edits and scope." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3201", + "accept": false, + "reason": "Different revert commits in different community pipelines; unrelated change history." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3265", + "accept": false, + "reason": "Reverting Pix2Pix Zero helper code vs reverting the lpw_stable_diffusion revert; not the same bug/change." + }, + { + "left": "pull_request:2384", + "right": "pull_request:533", + "accept": false, + "reason": "Pix2Pix Zero revert vs DDIM type-hint revert; different code paths." + }, + { + "left": "pull_request:2490", + "right": "pull_request:3709", + "accept": false, + "reason": "MultiDiffusion docs vs image processor docs; unrelated docs work." + }, + { + "left": "pull_request:2598", + "right": "pull_request:3172", + "accept": false, + "reason": "Paint-by-example doc updates vs deterministic algorithms docs; different topics." + }, + { + "left": "pull_request:2811", + "right": "pull_request:703", + "accept": false, + "reason": "ONNX test expectation update vs CI workflow/cache change; unrelated." + }, + { + "left": "pull_request:2817", + "right": "pull_request:975", + "accept": false, + "reason": "UNet1D API docs vs a docs title typo; not the same change." + }, + { + "left": "pull_request:2894", + "right": "pull_request:3226", + "accept": false, + "reason": "Flax requirements file vs ControlNet docs; unrelated." + }, + { + "left": "pull_request:3042", + "right": "pull_request:4078", + "accept": false, + "reason": "Example requirements/accelerate minimum version sweep vs runtime accelerate check in from_single_file; different problems." + }, + { + "left": "pull_request:3183", + "right": "pull_request:3541", + "accept": false, + "reason": "DreamBooth LoRA checkpointing bug vs DreamBooth attention-mask bug; distinct fixes." + }, + { + "left": "pull_request:3294", + "right": "pull_request:5201", + "accept": false, + "reason": "LoRA weight-loading prefix support vs xformers/LoRA processor handling; different LoRA code paths." + }, + { + "left": "pull_request:3295", + "right": "pull_request:5505", + "accept": false, + "reason": "Tutorial typo fix vs ControlNet API typo fix; unrelated docs changes." + }, + { + "left": "pull_request:3331", + "right": "pull_request:4211", + "accept": false, + "reason": "Inpainting docs typo vs SDXL docstring correction; different documentation targets." + }, + { + "left": "pull_request:3410", + "right": "pull_request:4078", + "accept": false, + "reason": "Accelerate state retrieval bug in training vs accelerate installation guard in checkpoint conversion; unrelated." + }, + { + "left": "pull_request:3462", + "right": "pull_request:3673", + "accept": false, + "reason": "DreamBooth LoRA robustness cleanup vs multi-GPU DreamBooth config access fix; different bugs." + }, + { + "left": "pull_request:3589", + "right": "pull_request:5024", + "accept": false, + "reason": "Reference-tricks README additions vs DPM solver step-index/noise-sampler state fix; unrelated." + }, + { + "left": "pull_request:3608", + "right": "pull_request:5505", + "accept": false, + "reason": "Text-to-image argument typo vs ControlNet API typo fix; unrelated docs/example edits." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4132", + "accept": false, + "reason": "Checkpoint-limit handling in training scripts vs making accelerate optional in from_single_file; different concerns 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": 265, + "review_unit_index": 185, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3786", + "pull_request:3806", + "pull_request:382", + "pull_request:3820", + "pull_request:386", + "pull_request:388", + "pull_request:390", + "pull_request:391", + "pull_request:392", + "pull_request:396", + "pull_request:404", + "pull_request:4058", + "pull_request:4155", + "pull_request:416", + "pull_request:417", + "pull_request:4196", + "pull_request:4227", + "pull_request:4259", + "pull_request:4284", + "pull_request:4347", + "pull_request:4498", + "pull_request:4652", + "pull_request:4669", + "pull_request:5188", + "pull_request:5239", + "pull_request:5242", + "pull_request:5384", + "pull_request:5456", + "pull_request:5552", + "pull_request:5698", + "pull_request:5707", + "pull_request:5747", + "pull_request:5768", + "pull_request:5771", + "pull_request:5822", + "pull_request:5895", + "pull_request:5982", + "pull_request:6053", + "pull_request:6085", + "pull_request:6163", + "pull_request:6192", + "pull_request:6437", + "pull_request:6485", + "pull_request:6656", + "pull_request:6775", + "pull_request:7328", + "pull_request:7410", + "pull_request:7634" + ], + "soft_pairs": [ + "pull_request:3786|pull_request:4347", + "pull_request:3806|pull_request:5747", + "pull_request:382|pull_request:392", + "pull_request:382|pull_request:404", + "pull_request:382|pull_request:417", + "pull_request:3820|pull_request:5768", + "pull_request:386|pull_request:391", + "pull_request:388|pull_request:396", + "pull_request:388|pull_request:416", + "pull_request:390|pull_request:391", + "pull_request:4058|pull_request:4155", + "pull_request:4058|pull_request:6485", + "pull_request:4196|pull_request:4227", + "pull_request:4259|pull_request:5698", + "pull_request:4284|pull_request:5768", + "pull_request:4498|pull_request:5384", + "pull_request:4652|pull_request:6163", + "pull_request:4669|pull_request:6437", + "pull_request:5188|pull_request:7328", + "pull_request:5239|pull_request:6775", + "pull_request:5242|pull_request:6775", + "pull_request:5456|pull_request:6192", + "pull_request:5456|pull_request:6656", + "pull_request:5456|pull_request:7634", + "pull_request:5552|pull_request:6085", + "pull_request:5698|pull_request:5707", + "pull_request:5707|pull_request:5822", + "pull_request:5707|pull_request:5895", + "pull_request:5771|pull_request:7410", + "pull_request:5895|pull_request:6053", + "pull_request:5982|pull_request:6053" + ], + "prepared_review_unit_hash": "1c05fa9ad2cfdd7e245d37217d897cdbc35530fbcf388c3c51dae02e11976a02", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 101813, + "estimated_input_tokens": 25454, + "estimated_eval_tokens": 51164 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated docs, refactors, and small bugfix PRs that only look similar at a high level. None of the soft edges appear to be the same underlying change, so I reject them all.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "pull_request:5895 is the most substantial, self-contained library-wide change in the set, so it is the best representative PR, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3786", + "right": "pull_request:4347", + "accept": false, + "reason": "Unrelated PR template addition vs scheduler/pipeline logic change; same repo area only in a very broad sense." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5747", + "accept": false, + "reason": "Both mention checkpoints/data loading, but one is docs for text-to-image training and the other is a dataset `data_dir` parameter fix; not the same change." + }, + { + "left": "pull_request:382", + "right": "pull_request:392", + "accept": false, + "reason": "Both are docs-focused sprint PRs, but they cover different pages and different content areas." + }, + { + "left": "pull_request:382", + "right": "pull_request:404", + "accept": false, + "reason": "Different pipeline docs pages; one is DDPM docs, the other is fp16/memory optimization docs." + }, + { + "left": "pull_request:382", + "right": "pull_request:417", + "accept": false, + "reason": "Different documentation work: DDPM pipeline docs vs inference guide pages." + }, + { + "left": "pull_request:3820", + "right": "pull_request:5768", + "accept": false, + "reason": "Different LDM3D documentation/code cleanup versus a dataset-loading argument fix in training scripts." + }, + { + "left": "pull_request:386", + "right": "pull_request:391", + "accept": false, + "reason": "Stable Diffusion docs vs PNDM docs; related subject matter but different pipelines and edits." + }, + { + "left": "pull_request:388", + "right": "pull_request:396", + "accept": false, + "reason": "Different pipeline docs: unconditional latent diffusion vs DDIM." + }, + { + "left": "pull_request:388", + "right": "pull_request:416", + "accept": false, + "reason": "Unconditional latent diffusion docs versus model API docs; not the same underlying change." + }, + { + "left": "pull_request:390", + "right": "pull_request:391", + "accept": false, + "reason": "Different docs pages: Apple Silicon/MPS guide vs PNDM docs." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4155", + "accept": false, + "reason": "One is SDXL docs polishing; the other is an SDXL ControlNet pipeline fix and tests." + }, + { + "left": "pull_request:4058", + "right": "pull_request:6485", + "accept": false, + "reason": "SDXL image/docs corrections versus PR template reviewer list update." + }, + { + "left": "pull_request:4196", + "right": "pull_request:4227", + "accept": false, + "reason": "SDXL pipeline docs/API changes versus a missing import in textual inversion inference example." + }, + { + "left": "pull_request:4259", + "right": "pull_request:5698", + "accept": false, + "reason": "Both touch loaders/attention-related code, but one fixes a circular import and the other fixes FreeU disable behavior in pipelines/models." + }, + { + "left": "pull_request:4284", + "right": "pull_request:5768", + "accept": false, + "reason": "LDM3D doc typo cleanup versus unrelated dataset loading/doc formatting changes." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5384", + "accept": false, + "reason": "Reference SDXL example/docs versus hypernetwork support and LoRA loading changes; different features entirely." + }, + { + "left": "pull_request:4652", + "right": "pull_request:6163", + "accept": false, + "reason": "Both are LoRA-related tests, but they cover different test cases and code paths, not the same bug." + }, + { + "left": "pull_request:4669", + "right": "pull_request:6437", + "accept": false, + "reason": "LoRA rank handling in text encoders versus CI workflow exclusion for a test; unrelated changes." + }, + { + "left": "pull_request:5188", + "right": "pull_request:7328", + "accept": false, + "reason": "Training utility SNR helper addition versus adding torch to the PyPI publish workflow." + }, + { + "left": "pull_request:5239", + "right": "pull_request:6775", + "accept": false, + "reason": "AutoencoderKL encode docstring versus DDPM scheduler constructor docs; same general docs cleanup, different APIs." + }, + { + "left": "pull_request:5242", + "right": "pull_request:6775", + "accept": false, + "reason": "AutoencoderKL decode docstring versus DDPM scheduler parameter docs; not the same change." + }, + { + "left": "pull_request:5456", + "right": "pull_request:6192", + "accept": false, + "reason": "RealFill example/project addition versus IP-Adapter unload support; completely different features." + }, + { + "left": "pull_request:5456", + "right": "pull_request:6656", + "accept": false, + "reason": "RealFill project scaffolding versus textual inversion unload support; unrelated." + }, + { + "left": "pull_request:5456", + "right": "pull_request:7634", + "accept": false, + "reason": "RealFill example/project versus high-resolution UNet fix; unrelated code paths and goals." + }, + { + "left": "pull_request:5552", + "right": "pull_request:6085", + "accept": false, + "reason": "FreeU disable bugfix versus scheduler add_noise bugfix; both fixes, but different subsystems and root causes." + }, + { + "left": "pull_request:5698", + "right": "pull_request:5707", + "accept": false, + "reason": "LoRA/FreeU-related cleanup versus LCM ControlNet/Adapter support; different concrete behaviors." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5822", + "accept": false, + "reason": "LCM test additions versus actual LCM support in ControlNet/Adapter pipelines; tests are not the same change as the feature." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5895", + "accept": false, + "reason": "LCM test coverage versus the SVD feature introduction; unrelated." + }, + { + "left": "pull_request:5771", + "right": "pull_request:7410", + "accept": false, + "reason": "Large loaders refactor versus FreeInit behavior fix in animation pipelines; different code paths." + }, + { + "left": "pull_request:5895", + "right": "pull_request:6053", + "accept": false, + "reason": "SVD feature addition versus logging step_loss in a training script; unrelated." + }, + { + "left": "pull_request:5982", + "right": "pull_request:6053", + "accept": false, + "reason": "SDXL Turbo docs versus training loss logging; different artifact types 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": 265, + "review_unit_index": 186, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5982", + "pull_request:5988", + "pull_request:6002", + "pull_request:6119", + "pull_request:6205", + "pull_request:6215", + "pull_request:6217", + "pull_request:6308", + "pull_request:6342", + "pull_request:6643", + "pull_request:6997", + "pull_request:7077", + "pull_request:7103", + "pull_request:7124", + "pull_request:7153", + "pull_request:7166", + "pull_request:7181", + "pull_request:7206", + "pull_request:7319", + "pull_request:7638", + "pull_request:7652", + "pull_request:7653", + "pull_request:7662", + "pull_request:7827", + "pull_request:7893", + "pull_request:7913", + "pull_request:7919", + "pull_request:7938", + "pull_request:7941", + "pull_request:8229", + "pull_request:8230", + "pull_request:8272", + "pull_request:8303", + "pull_request:8322", + "pull_request:8386", + "pull_request:8425", + "pull_request:8467", + "pull_request:8510", + "pull_request:8521", + "pull_request:8522", + "pull_request:8591", + "pull_request:8627", + "pull_request:8702", + "pull_request:8722", + "pull_request:9100", + "pull_request:9247", + "pull_request:9721", + "pull_request:9735" + ], + "soft_pairs": [ + "pull_request:5982|pull_request:6643", + "pull_request:5988|pull_request:7319", + "pull_request:6002|pull_request:8230", + "pull_request:6119|pull_request:8425", + "pull_request:6205|pull_request:7827", + "pull_request:6215|pull_request:7941", + "pull_request:6215|pull_request:8303", + "pull_request:6217|pull_request:8510", + "pull_request:6308|pull_request:8229", + "pull_request:6342|pull_request:8521", + "pull_request:6997|pull_request:7206", + "pull_request:7077|pull_request:7124", + "pull_request:7103|pull_request:9247", + "pull_request:7153|pull_request:7662", + "pull_request:7166|pull_request:9247", + "pull_request:7181|pull_request:7653", + "pull_request:7638|pull_request:7893", + "pull_request:7652|pull_request:8627", + "pull_request:7913|pull_request:8467", + "pull_request:7919|pull_request:8722", + "pull_request:7938|pull_request:8386", + "pull_request:8272|pull_request:8322", + "pull_request:8322|pull_request:9100", + "pull_request:8522|pull_request:9721", + "pull_request:8591|pull_request:8702", + "pull_request:8702|pull_request:9735" + ], + "prepared_review_unit_hash": "6b2f7cc0fde769a351ba4295c1f9097bf583782d1971aa9c1eed7f1bf79c6089", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 95447, + "estimated_input_tokens": 23862, + "estimated_eval_tokens": 47980 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of mostly unrelated PRs: docs additions, typo fixes, workflow tweaks, test adjustments, and separate code-path bug fixes across different subsystems. The only commonality is broad topical overlap, not the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative because the items do not converge on one shared bug or feature; they span unrelated docs, tests, CI, training scripts, and pipeline fixes.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR is suitable: selecting any one would be arbitrary since there is no common underlying fix/change across the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5982", + "right": "pull_request:6643", + "accept": false, + "reason": "Both are docs PRs, but one adds SDXL Turbo docs and the other adds UViT2D docs; different features, no shared bug/change." + }, + { + "left": "pull_request:5988", + "right": "pull_request:7319", + "accept": false, + "reason": "Both touch docs for model pages, but they document Kandinsky 3 vs EDM schedulers; unrelated additions." + }, + { + "left": "pull_request:6002", + "right": "pull_request:8230", + "accept": false, + "reason": "Both are Stable Video Diffusion-related, but one fixes guidance scale logic and the other fixes CPU offloading usage; different bugs/code paths." + }, + { + "left": "pull_request:6119", + "right": "pull_request:8425", + "accept": false, + "reason": "One fixes fp16 LoRA training behavior; the other only renames a workflow file. No shared change." + }, + { + "left": "pull_request:6205", + "right": "pull_request:7827", + "accept": false, + "reason": "Both are documentation updates, but one fixes a blog URL and the other fixes a CPU offload docstring; not the same issue." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7941", + "accept": false, + "reason": "One fixes PixArt test initialization; the other marks a Stable Diffusion single-file test class as slow. Different test concerns." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8303", + "accept": false, + "reason": "PixArt test init fix vs a philosophy.md typo edit; unrelated." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8510", + "accept": false, + "reason": "One fixes torch.compile behavior in SVD VAE code; the other changes LR scheduler math in DreamBooth LoRA training. Different problems." + }, + { + "left": "pull_request:6308", + "right": "pull_request:8229", + "accept": false, + "reason": "LoRA PEFT dummy-component test setup vs SVD video resize behavior; different code paths and purposes." + }, + { + "left": "pull_request:6342", + "right": "pull_request:8521", + "accept": false, + "reason": "An installation/docs note update vs a requirements file pin; same general area of packaging/docs but not the same change." + }, + { + "left": "pull_request:6997", + "right": "pull_request:7206", + "accept": false, + "reason": "One adds LoRA support to a model class; the other adds tags to training scripts. Not the same underlying fix." + }, + { + "left": "pull_request:7077", + "right": "pull_request:7124", + "accept": false, + "reason": "IPAdapterAttnProcessor shape fix vs a DreamBooth validation kwarg rename; unrelated." + }, + { + "left": "pull_request:7103", + "right": "pull_request:9247", + "accept": false, + "reason": "ControlNet image validation fix vs model variant folder detection fix; different subsystems and bugs." + }, + { + "left": "pull_request:7153", + "right": "pull_request:7662", + "accept": false, + "reason": "Workflow path filtering vs removing redundant flax test dependencies; both CI-related but not the same issue." + }, + { + "left": "pull_request:7166", + "right": "pull_request:9247", + "accept": false, + "reason": "DreamBooth LoRA load hook fix vs pipeline variant identification; unrelated." + }, + { + "left": "pull_request:7181", + "right": "pull_request:7653", + "accept": false, + "reason": "A docs/utility typo pass vs a configuration helper signature cleanup; not the same bug or change." + }, + { + "left": "pull_request:7638", + "right": "pull_request:7893", + "accept": false, + "reason": "A broken CONTRIBUTING link fix vs Dockerfile Python upgrade; unrelated maintenance changes." + }, + { + "left": "pull_request:7652", + "right": "pull_request:8627", + "accept": false, + "reason": "Docker Buildx workflow change vs SD3 controlnet code/doc additions; completely different areas." + }, + { + "left": "pull_request:7913", + "right": "pull_request:8467", + "accept": false, + "reason": "ControlNet SDXL custom timesteps/sigmas support vs semantic stable diffusion device handling; different pipeline fixes." + }, + { + "left": "pull_request:7919", + "right": "pull_request:8722", + "accept": false, + "reason": "Offload behavior when device_map is enabled vs a large embeddings refactor; not mergeable as one concrete bug fix." + }, + { + "left": "pull_request:7938", + "right": "pull_request:8386", + "accept": false, + "reason": "Slack reporting workflow update vs model test refactor; unrelated." + }, + { + "left": "pull_request:8272", + "right": "pull_request:8322", + "accept": false, + "reason": "A grammar fix in raise messages vs broad errata across docs/tests; too generic to be the same change." + }, + { + "left": "pull_request:8322", + "right": "pull_request:9100", + "accept": false, + "reason": "Broad errata across docs/examples vs a single typo fix in a training script; not the same underlying issue." + }, + { + "left": "pull_request:8522", + "right": "pull_request:9721", + "accept": false, + "reason": "Transformers version pin in setup.py vs torch version pinning in Dockerfiles; related dependency management, but distinct concrete changes." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8702", + "accept": false, + "reason": "SD3 training utility refactor vs adding an SD3 conversion script; different deliverables and code paths." + }, + { + "left": "pull_request:8702", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 conversion script addition vs SD3 ControlNet example/training updates; both SD3-related but not the same 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": 1, + "component_count": 265, + "review_unit_index": 187, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10200", + "pull_request:10324", + "pull_request:10325", + "pull_request:1038", + "pull_request:10494", + "pull_request:10597", + "pull_request:10633", + "pull_request:10837", + "pull_request:1147", + "pull_request:11475", + "pull_request:11504", + "pull_request:11534", + "pull_request:11613", + "pull_request:11639", + "pull_request:11728", + "pull_request:11975", + "pull_request:12363", + "pull_request:12425", + "pull_request:12519", + "pull_request:12551", + "pull_request:12611", + "pull_request:13029", + "pull_request:13055", + "pull_request:13365", + "pull_request:3770", + "pull_request:3797", + "pull_request:4262", + "pull_request:4370", + "pull_request:4498", + "pull_request:4819", + "pull_request:4944", + "pull_request:5033", + "pull_request:51", + "pull_request:5331", + "pull_request:570", + "pull_request:5713", + "pull_request:5807", + "pull_request:5813", + "pull_request:6237", + "pull_request:630", + "pull_request:6316", + "pull_request:6893", + "pull_request:7410", + "pull_request:826", + "pull_request:9269", + "pull_request:9408", + "pull_request:9620" + ], + "soft_pairs": [ + "pull_request:9408|pull_request:9620", + "pull_request:11639|pull_request:12611", + "pull_request:5807|pull_request:6316", + "pull_request:12551|pull_request:13055", + "pull_request:3770|pull_request:4498", + "pull_request:10837|pull_request:11534", + "pull_request:10324|pull_request:10325", + "pull_request:11475|pull_request:11975", + "pull_request:12519|pull_request:13365", + "pull_request:3797|pull_request:4370", + "pull_request:4262|pull_request:5331", + "pull_request:570|pull_request:826", + "pull_request:5813|pull_request:6237", + "pull_request:6893|pull_request:7410", + "pull_request:4819|pull_request:5033", + "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" + ], + "prepared_review_unit_hash": "e635650b940c4894e8226568e2a4e1717b30d55eb3be886c55c09a8735385357", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 101878, + "estimated_input_tokens": 25470, + "estimated_eval_tokens": 51196 + }, + "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: it mixes unrelated PRs across CI, docs, WAN, ControlNet, Flax, and tests. The only strong duplicate-like pair is the IP-Adapter work (4944/5713), where 5713 looks like the consolidated full feature after the WIP PR.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5713 is the best anchor only for the IP-Adapter subcluster: it is the fuller, merged implementation, while 4944 is an earlier WIP. There is no single canonical PR for the whole cluster because the rest are unrelated.", + "best_issue_reason": null, + "best_pr_reason": "PR 5713 is the strongest representative PR in the set because it is the most complete substantive feature change and the only one with a clear duplicate-like precursor (4944).", + "soft_edge_verdicts": [ + { + "left": "pull_request:9408", + "right": "pull_request:9620", + "accept": false, + "reason": "Different ControlNet features: Flux ControlNet img2img/inpaint vs interrupt support across ControlNet pipelines. Same subsystem, but not the same concrete bug/change." + }, + { + "left": "pull_request:11639", + "right": "pull_request:12611", + "accept": false, + "reason": "Wan v2v latent sampling fix vs broad modular WAN refactor. The code paths and goals are different." + }, + { + "left": "pull_request:5807", + "right": "pull_request:6316", + "accept": false, + "reason": "Both are community/docs-adjacent, but one adds num_images_per_prompt support in LPW SDXL while the other moves ControlNetXS into the community folder. Not the same change." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13055", + "accept": false, + "reason": "CI skip for Sana layerwise casting tests vs WAN 2.2 transformer-absent fix. Unrelated bugs." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4498", + "accept": false, + "reason": "ControlNet guidance start/stop support vs SDXL reference-attn/reference-adain example support. Different features and code paths." + }, + { + "left": "pull_request:10837", + "right": "pull_request:11534", + "accept": false, + "reason": "Both are Hunyuan Video-related, but SkyReels T2V/I2V and Framepack F1 are different model integrations, not the same concrete change." + }, + { + "left": "pull_request:10324", + "right": "pull_request:10325", + "accept": false, + "reason": "One fixes enable_sequential_cpu_offload behavior; the other fixes EMAModel.from_pretrained test setup. No shared bug." + }, + { + "left": "pull_request:11475", + "right": "pull_request:11975", + "accept": false, + "reason": "WAN recompilation fix and a Flux dreambooth style cleanup are unrelated." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13365", + "accept": false, + "reason": "Toctree sorting/quality-check fix vs Claude review workflow fork support. Different CI/doc concerns." + }, + { + "left": "pull_request:3797", + "right": "pull_request:4370", + "accept": false, + "reason": "The naming issues are unrelated: attention-head naming correction across model configs vs a dummy import module-path typo." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5331", + "accept": false, + "reason": "Both touch DreamBooth/LoRA, but one is a set of SDXL/DreamBooth fixes and the other replaces deprecated LoRA attention processors. Not the same bug." + }, + { + "left": "pull_request:570", + "right": "pull_request:826", + "accept": false, + "reason": "BaseOutput dict initialization fix vs fp16 DreamBooth loss casting. No overlap in underlying problem." + }, + { + "left": "pull_request:5813", + "right": "pull_request:6237", + "accept": false, + "reason": "Both are docs, but loader API restructuring and batched-seed guidance are unrelated." + }, + { + "left": "pull_request:6893", + "right": "pull_request:7410", + "accept": false, + "reason": "3D UNet attention refactor and FreeInit behavior fix are distinct changes." + }, + { + "left": "pull_request:4819", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are inpainting-related, but they fix different latent-handling bugs in different scenarios. They are not the same concrete code-path issue." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5713", + "accept": true, + "reason": "Yes \u2014 both are IP-Adapter support work in the same loader/attention-processor/pipeline paths. 5713 looks like the consolidated full implementation, with 4944 as an earlier WIP precursor." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10494", + "accept": false, + "reason": "Both mention tokenizers in CI, but one updates pr_tests backend setup while the other fixes LoRA test installation from main. Different jobs and failure modes." + }, + { + "left": "pull_request:10200", + "right": "pull_request:9269", + "accept": false, + "reason": "ControlNetUnion refactor vs CogVideoX 3D RoPE refactor. No shared bug or feature." + }, + { + "left": "pull_request:1038", + "right": "pull_request:51", + "accept": false, + "reason": "Flax dtype fix in training vs setup.py install_requires typo fix. Unrelated." + }, + { + "left": "pull_request:10597", + "right": "pull_request:10633", + "accept": false, + "reason": "Both are docs around newer pipelines, but one updates an SD3 IP-Adapter model ID and the other adds a Flux IP-Adapter example. Different models and changes." + }, + { + "left": "pull_request:1147", + "right": "pull_request:630", + "accept": false, + "reason": "Loading text encoder from subfolder and Flax mismatched-keys cleanup are unrelated." + }, + { + "left": "pull_request:11504", + "right": "pull_request:11728", + "accept": false, + "reason": "Dependency-table/CI tweaks vs doc-builder Dockerfile quant-lib additions. Different maintenance tasks." + }, + { + "left": "pull_request:11613", + "right": "pull_request:12425", + "accept": false, + "reason": "A revert of torch.compile CI changes and a distributed import guard are not the same issue." + }, + { + "left": "pull_request:12363", + "right": "pull_request:13029", + "accept": false, + "reason": "QwenImageEdit Plus docs/tests vs modular quickstart docs. Different product areas and goals." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the cluster is clearly heterogeneous, and the only clearly mergeable duplicate-like pair is 4944/5713 in the IP-Adapter area. The soft-edge verdicts are conservative and the reasons stay within what the diffs/titles support. No 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": 265, + "review_unit_index": 188, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1269", + "pull_request:12973", + "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:3681", + "pull_request:3691", + "pull_request:3928", + "pull_request:402", + "pull_request:4070", + "pull_request:4099", + "pull_request:4188", + "pull_request:4214", + "pull_request:4223", + "pull_request:4245", + "pull_request:453", + "pull_request:4595", + "pull_request:4887", + "pull_request:4987", + "pull_request:51", + "pull_request:538", + "pull_request:5385", + "pull_request:5615", + "pull_request:6078", + "pull_request:6114", + "pull_request:6265", + "pull_request:6886", + "pull_request:7115", + "pull_request:7202", + "pull_request:7790", + "pull_request:816" + ], + "soft_pairs": [ + "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:3681|pull_request:3691", + "pull_request:3928|pull_request:4214", + "pull_request:4070|pull_request:4245", + "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" + ], + "prepared_review_unit_hash": "23edc67d1a3168638c33809f06d0baccc626fe36342c265a34c7c89de653febc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98185, + "estimated_input_tokens": 24547, + "estimated_eval_tokens": 49350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: docs updates, CI/workflow changes, model/pipeline additions, and isolated bug fixes. The soft-similarity pairs share vague subsystem or wording overlap, but they do not appear to fix the same concrete bug or implement the same change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR is appropriate here; the items are unrelated across docs, CI, training scripts, pipelines, schedulers, and model support, so there is no single underlying change to merge around.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative because the cluster is not a duplicate set; the best candidates are just different kinds of maintenance work, not one shared fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1269", + "right": "pull_request:3297", + "accept": false, + "reason": "Stable-diffusion refactor cleanup and retrieval-augmented diffusion model support are unrelated changes." + }, + { + "left": "pull_request:12973", + "right": "pull_request:13365", + "accept": false, + "reason": "GLM-Image model support and fork-review CI support touch different features and code paths." + }, + { + "left": "pull_request:13150", + "right": "pull_request:13332", + "accept": false, + "reason": "User-configurable recompile_limit in tests is unrelated to dependency-testing workflow tightening." + }, + { + "left": "pull_request:1508", + "right": "pull_request:453", + "accept": false, + "reason": "Dreambooth class-image docs clarification is not the same as a generic installation typo fix." + }, + { + "left": "pull_request:1582", + "right": "pull_request:538", + "accept": false, + "reason": "RePaint scheduler math fix and hub version bump are completely different changes." + }, + { + "left": "pull_request:1583", + "right": "pull_request:538", + "accept": false, + "reason": "Inpaint legacy mask timing fix does not match a dependency-version update." + }, + { + "left": "pull_request:1910", + "right": "pull_request:402", + "accept": false, + "reason": "Korean docs enablement and intro-section docs restructuring are separate documentation tasks." + }, + { + "left": "pull_request:1926", + "right": "pull_request:241", + "accept": false, + "reason": "OneFlow/stable-diffusion inpainting dev support is unrelated to the standalone inpainting example script." + }, + { + "left": "pull_request:2345", + "right": "pull_request:3275", + "accept": false, + "reason": "xFormers warning in training scripts is unrelated to adding upsample_size to UNet blocks." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2398", + "accept": false, + "reason": "Scheduler noising-schedule changes are not the same as Pix2Pix Zero documentation edits." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4223", + "accept": false, + "reason": "MPS test skips and ControlNet SDXL training fixes address different test/runtime issues." + }, + { + "left": "pull_request:2565", + "right": "pull_request:2655", + "accept": false, + "reason": "UNet1D docs correction and LoRA loading behavior fix are unrelated." + }, + { + "left": "pull_request:2565", + "right": "pull_request:402", + "accept": false, + "reason": "UNet1D documentation wording and docs intro restructuring do not target the same artifact." + }, + { + "left": "pull_request:2919", + "right": "pull_request:4188", + "accept": false, + "reason": "Speeding up a unit test is unrelated to SDXL ControlNet dataset fingerprinting." + }, + { + "left": "pull_request:3657", + "right": "pull_request:3928", + "accept": false, + "reason": "ControlNet conversion-argument parsing tweaks and ControlNet inference/control-guidance fixes are different code-path problems." + }, + { + "left": "pull_request:3681", + "right": "pull_request:3691", + "accept": false, + "reason": "Checkpoint-limit handling in training scripts is unrelated to selecting LoRAAttnProcessor2_0 for text encoder LoRA." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4214", + "accept": false, + "reason": "ControlNet guidance-index fix and bf16 custom-diffusion fix are separate runtime bugs." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4245", + "accept": false, + "reason": "SDXL docs link cleanup is not the same change as adding use_safetensors examples across docs." + }, + { + "left": "pull_request:4099", + "right": "pull_request:6078", + "accept": false, + "reason": "SDXL prompt-embed bug fix is unrelated to Euler-discrete sigma cleanup." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6114", + "accept": false, + "reason": "WIP XL conversion work and LPW XL img2img/inpaint support are different community features." + }, + { + "left": "pull_request:4887", + "right": "pull_request:7115", + "accept": false, + "reason": "Removing latents from Kandinsky prior_emb2emb is unrelated to a Dockerfile change removing uv." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6265", + "accept": false, + "reason": "Duplicate GLIGEN import cleanup and moving GLIGEN into its own package are not the same change scope." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6886", + "accept": false, + "reason": "Removing a duplicate GLIGEN import is unrelated to deprecating torch_dtype in to()." + }, + { + "left": "pull_request:51", + "right": "pull_request:816", + "accept": false, + "reason": "install_requires correction and a deepspeed fine-tuning loss cast fix have no shared code path." + }, + { + "left": "pull_request:5385", + "right": "pull_request:7202", + "accept": false, + "reason": "Fixing copy-checks for method signatures is unrelated to removing huggingface-cli from requirements." + }, + { + "left": "pull_request:5615", + "right": "pull_request:7790", + "accept": false, + "reason": "Reverting SDXL adapter LoRA loading is unrelated to adapting a masked-im2im community pipeline for SDXL." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 189, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1006", + "pull_request:10322", + "pull_request:10731", + "pull_request:1089", + "pull_request:10975", + "pull_request:11142", + "pull_request:11522", + "pull_request:12086", + "pull_request:12117", + "pull_request:12188", + "pull_request:12418", + "pull_request:12424", + "pull_request:12519", + "pull_request:1386", + "pull_request:2476", + "pull_request:3652", + "pull_request:3681", + "pull_request:5301", + "pull_request:5788", + "pull_request:5842", + "pull_request:5974", + "pull_request:6119", + "pull_request:6208", + "pull_request:6217", + "pull_request:6225", + "pull_request:6229", + "pull_request:6241", + "pull_request:6759", + "pull_request:6787", + "pull_request:6952", + "pull_request:7158", + "pull_request:7353", + "pull_request:7507", + "pull_request:7778", + "pull_request:7924", + "pull_request:7934", + "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:9442", + "pull_request:9569", + "pull_request:9896" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "030e6f30dd5ad21992d80b6a04e0172ed9e9d328874f46b4eff87165c4bb8065", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 95349, + "estimated_input_tokens": 23838, + "estimated_eval_tokens": 47932 + }, + "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 one-off PRs spanning pipelines, docs, CI, converters, and tests. The soft-edge pairs mostly share broad keywords or filenames, but they do not fix the same concrete bug or implement the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative here; the items are heterogeneous and do not collapse to one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No PR in this set is globally suitable as a duplicate canonical: the cluster is too diverse, and the apparent similarities are mostly superficial subsystem overlap.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5788", + "right": "pull_request:7158", + "accept": false, + "reason": "Both mention LCM/benchmarking context only loosely; one changes scheduler error handling, the other changes benchmark execution. Different code paths and goals." + }, + { + "left": "pull_request:6119", + "right": "pull_request:8378", + "accept": false, + "reason": "Unrelated fixes: LoRA alpha parsing versus asymmetric autoencoder forward logic. No shared bug or mergeable combined patch." + }, + { + "left": "pull_request:6208", + "right": "pull_request:8510", + "accept": false, + "reason": "One fixes a Stable Diffusion dtype mismatch; the other changes DreamBooth LR scheduler math. Different failures and subsystems." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8303", + "accept": false, + "reason": "Torch compile/VAE behavior versus a documentation typo fix. No technical overlap beyond being PRs." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7778", + "accept": false, + "reason": "CI dependency install versus a debugging workflow. Same repo area is not enough; these are different operational changes." + }, + { + "left": "pull_request:6759", + "right": "pull_request:6952", + "accept": false, + "reason": "InstantID image-to-image pipeline work is unrelated to textual inversion model-card updates." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8389", + "accept": false, + "reason": "Both touch benchmarking, but one fixes benchmark execution/state cleanup and the other changes benchmarking infra/container/reporting. Not the same concrete bug." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9323", + "accept": false, + "reason": "ControlNet SDXL img2img single-file support and single-file default model repo updates are distinct changes." + }, + { + "left": "pull_request:8452", + "right": "pull_request:9569", + "accept": false, + "reason": "Single-file loading strictness versus CogVideoX autoencoder decode batching. Different code paths and failure modes." + }, + { + "left": "pull_request:8510", + "right": "pull_request:9569", + "accept": false, + "reason": "DreamBooth LR scheduler adjustments are unrelated to CogVideoX autoencoder decoding." + }, + { + "left": "pull_request:8564", + "right": "pull_request:8702", + "accept": false, + "reason": "Both are SD3-related, but one adds T5 token-limit support in training docs/code while the other adds a conversion script. Different artifacts and bugs." + }, + { + "left": "pull_request:8973", + "right": "pull_request:9896", + "accept": false, + "reason": "Reducing a test model size is unrelated to reverting Flux device/typecasting behavior." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12117", + "accept": false, + "reason": "Modular Flux I2I support and QwenImage img2img/inpaint pipeline additions are separate feature sets." + }, + { + "left": "pull_request:1006", + "right": "pull_request:2476", + "accept": false, + "reason": "Both are about image sizing, but one fixes interpolate on large batches while the other adds an attn_res parameter for Attend-and-Excite. Not the same bug." + }, + { + "left": "pull_request:12418", + "right": "pull_request:12519", + "accept": false, + "reason": "CI xfail adjustments and docs toctree sorting are unrelated maintenance fixes." + }, + { + "left": "pull_request:3652", + "right": "pull_request:3681", + "accept": false, + "reason": "Both involve checkpoint handling, but one refactors checkpoint naming and the other manually enforces checkpoint limits. They are not the same change." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6225", + "accept": false, + "reason": "SDXL text-encoder optionality fixes versus LoRA alpha parsing. Different pipeline behavior and code areas." + }, + { + "left": "pull_request:5842", + "right": "pull_request:5974", + "accept": false, + "reason": "Same pipeline family, but one fixes a 512px resolution bug and the other adapts PixArtAlpha for LCM. Different underlying issues." + }, + { + "left": "pull_request:6241", + "right": "pull_request:7924", + "accept": false, + "reason": "Float/Half runtime error fix versus IP-Adapter added_cond_kwargs handling. Distinct bugs in different pipelines." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7507", + "accept": false, + "reason": "Marigold input normalization fix is unrelated to adding an InstantID SDXL image-to-image pipeline." + }, + { + "left": "pull_request:7934", + "right": "pull_request:9442", + "accept": false, + "reason": "Single-file config loading and CI device_map flakiness are unrelated." + }, + { + "left": "pull_request:10322", + "right": "pull_request:11142", + "accept": false, + "reason": "Both edit the Sana converter, but they add different model variants and scheduler tweaks; not the same concrete change." + }, + { + "left": "pull_request:10731", + "right": "pull_request:10975", + "accept": false, + "reason": "Video output typing/utilities versus Wan pipeline bug fixes. Shared video tooling is too broad to imply duplication." + }, + { + "left": "pull_request:1089", + "right": "pull_request:1386", + "accept": false, + "reason": "Docs for scheduler usage versus adding v-prediction support in schedulers. Different scope and implementation." + }, + { + "left": "pull_request:11142", + "right": "pull_request:12188", + "accept": false, + "reason": "Sana converter updates and Qwen-Image-Edit emergency fix are unrelated." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12424", + "accept": false, + "reason": "AudioLDM2/transformers compatibility fix versus Dockerfile/workflow cleanup. 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": 265, + "review_unit_index": 190, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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:11067", + "pull_request:11595", + "pull_request:11999", + "pull_request:12021", + "pull_request:12095", + "pull_request:12416", + "pull_request:12424", + "pull_request:12519", + "pull_request:12581", + "pull_request:12805", + "pull_request:12960", + "pull_request:1299", + "pull_request:12998", + "pull_request:130", + "pull_request:13056", + "pull_request:13126", + "pull_request:13321", + "pull_request:1968", + "pull_request:1977", + "pull_request:2279", + "pull_request:2314", + "pull_request:3723", + "pull_request:4062", + "pull_request:5038", + "pull_request:5111", + "pull_request:5438", + "pull_request:5697", + "pull_request:6311", + "pull_request:6332", + "pull_request:6365", + "pull_request:6673", + "pull_request:6787", + "pull_request:7206", + "pull_request:788", + "pull_request:8467", + "pull_request:8618", + "pull_request:8627", + "pull_request:8722", + "pull_request:9160", + "pull_request:9175", + "pull_request:9696", + "pull_request:9736", + "pull_request:978", + "pull_request:9816" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "efce98875f723969d6543eeba5381f2e4890014688f0d480af9d7accec372a11", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 102403, + "estimated_input_tokens": 25601, + "estimated_eval_tokens": 51458 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous cluster of unrelated PRs spanning CI/docs churn, new model or pipeline features, and distinct bugfixes. None of the proposed soft edges look like the same underlying change, so all should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly subsumes the rest; the set mixes unrelated CI, docs, model, and LoRA changes.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong global representative for duplicate triage because the cluster is too heterogeneous.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11595", + "right": "pull_request:11999", + "accept": false, + "reason": "Both are LoRA-related, but they fix different Flux/PEFT issues: load_lora_weights behavior vs. new LoRA config injection method." + }, + { + "left": "pull_request:12424", + "right": "pull_request:12960", + "accept": false, + "reason": "One is Docker/workflow cleanup, the other fixes FSDP detection in DreamBooth Flux training scripts; unrelated changes." + }, + { + "left": "pull_request:12581", + "right": "pull_request:13056", + "accept": false, + "reason": "Different targets and codepaths: broader Qwen LoRA support versus Z-Image LoRA conversion support." + }, + { + "left": "pull_request:12805", + "right": "pull_request:12998", + "accept": false, + "reason": "Pypi publish workflow adjustments and doc-style cleanup are not the same bug or change." + }, + { + "left": "pull_request:1299", + "right": "pull_request:130", + "accept": false, + "reason": "AltDiffusion feature addition and an examples README note about accelerate config are unrelated." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2314", + "accept": false, + "reason": "CPU offload behavior fix and fast-test slice tolerance tweaks are different issues." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2279", + "accept": false, + "reason": "These touch different areas: example/script fixes versus quality-tooling migration to ruff/black." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3723", + "accept": false, + "reason": "Repository lint/tooling changes are unrelated to the reference-pipeline input type update." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5697", + "accept": false, + "reason": "One makes optional arguments explicit in Transformer2D; the other fixes PEFT LoRA behavior with xformers." + }, + { + "left": "pull_request:5111", + "right": "pull_request:6365", + "accept": false, + "reason": "Same scheduler file, but different bugs: adding use_karras_sigmas versus MPS timestep handling." + }, + { + "left": "pull_request:6311", + "right": "pull_request:8627", + "accept": false, + "reason": "Both are docs additions, but for different products/features; not a duplicate document change." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8467", + "accept": false, + "reason": "Community pipeline addition and SEGA pipeline fix are different pipelines and different code changes." + }, + { + "left": "pull_request:6673", + "right": "pull_request:6787", + "accept": false, + "reason": "InstantID pipeline addition and Marigold input-range fix are unrelated community changes." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9160", + "accept": false, + "reason": "Training-script tag updates and Flux latent-caching/LoRA updates are different changes." + }, + { + "left": "pull_request:788", + "right": "pull_request:978", + "accept": false, + "reason": "PIL sampler warning fix and generic typo/documentation fixes are not the same underlying issue." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9736", + "accept": false, + "reason": "SD3 tiny autoencoder shift-factor support and Allegro T2V are unrelated features." + }, + { + "left": "pull_request:8722", + "right": "pull_request:9736", + "accept": false, + "reason": "A core embeddings refactor is not the same change as adding Allegro T2V support." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9816", + "accept": false, + "reason": "Both are Flux-related, but one adds ControlNet support while the other adds a community RF-inversion pipeline." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13126", + "accept": false, + "reason": "QwenImage Edit Plus modular support and Z-Image LoRA conversion are different model families and codepaths." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13321", + "accept": false, + "reason": "A toctree sorting fix and a Cosmos torchvision import guard are unrelated CI/runtime changes." + }, + { + "left": "pull_request:4062", + "right": "pull_request:5438", + "accept": false, + "reason": "Shap-E mesh output support and latent-consistency pipeline support are distinct feature additions." + }, + { + "left": "pull_request:12021", + "right": "pull_request:12095", + "accept": false, + "reason": "LTX attention-backend support and the LTX 0.9.8 model release are different scopes." + }, + { + "left": "pull_request:10354", + "right": "pull_request:9696", + "accept": false, + "reason": "A FluxIPAdapter tester fix and a PR-test workflow input change are unrelated." + }, + { + "left": "pull_request:10497", + "right": "pull_request:11067", + "accept": false, + "reason": "Tokenizers installation path fix and benchmarking transformer pinning are different CI problems." + }, + { + "left": "pull_request:10557", + "right": "pull_request:9696", + "accept": false, + "reason": "Single-file test utility changes and run-tests workflow edits do not address 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": 265, + "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:10894", + "pull_request:11243", + "pull_request:11916", + "pull_request:11967", + "pull_request:11975", + "pull_request:1229", + "pull_request:12424", + "pull_request:12534", + "pull_request:12549", + "pull_request:12919", + "pull_request:12960", + "pull_request:13338", + "pull_request:13364", + "pull_request:13490", + "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:4262", + "pull_request:4690", + "pull_request:4706", + "pull_request:4744", + "pull_request:4793", + "pull_request:5393", + "pull_request:5697", + "pull_request:5807", + "pull_request:5898", + "pull_request:676", + "pull_request:6994", + "pull_request:7062", + "pull_request:7410", + "pull_request:7461", + "pull_request:7714", + "pull_request:7720", + "pull_request:823", + "pull_request:9247", + "pull_request:9723", + "pull_request:9807" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "b480040318a62d47424105de6d849c29b6cf6cd27ac5a93751b1a39831443be5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98059, + "estimated_input_tokens": 24515, + "estimated_eval_tokens": 49286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most PRs are unrelated docs, examples, loaders, CI, or different attention/NPU fixes. I found no true duplicate pair to merge; the only partial thematic overlap is in a small attention-backend subgroup, but the concrete changes still differ.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. If a PR must be chosen, pull_request:11916 is the closest anchor because it is the broadest and most central attention-dispatch refactor among the only loosely related subset, but the cluster is not a real duplicate set.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:11916 has the widest scope and strongest centrality in the attention-backend subgroup, with multiple related files and the highest apparent cluster relevance; however, it still should not be treated as a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10894", + "right": "pull_request:11975", + "accept": false, + "reason": "Docs toctree sorting vs. a Flux training style fix; unrelated changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:9807", + "accept": false, + "reason": "Both touch LoRA support, but one adds musubi wan conversion and the other adds AutoencoderKL LoRA adapter support; different bugs/changes." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1458", + "accept": false, + "reason": "Dreambooth README docs vs. ONNX runtime candidate detection; unrelated." + }, + { + "left": "pull_request:12424", + "right": "pull_request:13338", + "accept": false, + "reason": "Dockerfile/workflow cleanup vs. Claude workflow permissions; different files and problems." + }, + { + "left": "pull_request:12960", + "right": "pull_request:13364", + "accept": false, + "reason": "FSDP detection in DreamBooth scripts vs. WAN motion conv dtype casting; unrelated." + }, + { + "left": "pull_request:1582", + "right": "pull_request:676", + "accept": false, + "reason": "RePaint scheduler bugfix vs. a resnet variable rename; not the same issue." + }, + { + "left": "pull_request:1583", + "right": "pull_request:676", + "accept": false, + "reason": "Legacy inpaint masking logic vs. a resnet variable rename; unrelated." + }, + { + "left": "pull_request:1913", + "right": "pull_request:823", + "accept": false, + "reason": "Both are img2img-related validation fixes, but one checks image input types and the other fixes negative-prompt type errors; different concrete bugs." + }, + { + "left": "pull_request:1942", + "right": "pull_request:2001", + "accept": false, + "reason": "Script flag rename vs. ColossalAI example typo cleanup; unrelated." + }, + { + "left": "pull_request:2655", + "right": "pull_request:3294", + "accept": false, + "reason": "Both concern LoRA loading, but one fixes save/load behavior while the other adds lora_ prefix support; related area, not the same underlying change." + }, + { + "left": "pull_request:3034", + "right": "pull_request:3446", + "accept": false, + "reason": "Accelerate parameter-name fix vs. pipeline warning-message wording; unrelated." + }, + { + "left": "pull_request:3128", + "right": "pull_request:3673", + "accept": false, + "reason": "Img2img timestep selection fix vs. DreamBooth multi-GPU fix; different code paths." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5807", + "accept": false, + "reason": "Community pipeline addition vs. LPW SDXL prompt-embedding enhancement; not duplicates." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4690", + "accept": false, + "reason": "Checkpoints-limit handling vs. DPM-Solver refactor; unrelated." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4706", + "accept": false, + "reason": "SDXL DreamBooth multi-fix PR vs. a specific LoRA alpha fallback fix; same broad subsystem, but not the same concrete change." + }, + { + "left": "pull_request:4744", + "right": "pull_request:5393", + "accept": false, + "reason": "AudioLDM docstring update vs. HFApi tutorial/example migration; unrelated docs work." + }, + { + "left": "pull_request:4793", + "right": "pull_request:6994", + "accept": false, + "reason": "AutoPipeline kwargs handling vs. from_single_file torch_dtype propagation; different loading bugs." + }, + { + "left": "pull_request:5697", + "right": "pull_request:7461", + "accept": false, + "reason": "PEFT/xFormers attention bugfix vs. testing-utils boolean helper; unrelated." + }, + { + "left": "pull_request:5898", + "right": "pull_request:7714", + "accept": false, + "reason": "Unconditional image generation docs rewrite vs. AutoPipeline docs; different documentation tasks." + }, + { + "left": "pull_request:7062", + "right": "pull_request:7461", + "accept": false, + "reason": "Imagic docstring fix vs. testing-utils helper; unrelated." + }, + { + "left": "pull_request:7410", + "right": "pull_request:7720", + "accept": false, + "reason": "FreeInit behavior fix vs. dead-code cleanup; different changes." + }, + { + "left": "pull_request:9247", + "right": "pull_request:9723", + "accept": false, + "reason": "Model-variant identification bug vs. Matryoshka schedule_shifted_power fix; unrelated." + }, + { + "left": "pull_request:12534", + "right": "pull_request:13490", + "accept": false, + "reason": "Flux NPU pos-embed handling vs. NPU attention mask-shape support; both NPU-related but distinct code paths and fixes." + }, + { + "left": "pull_request:11916", + "right": "pull_request:11967", + "accept": false, + "reason": "Broad Flux/Chroma attention-dispatch refactor vs. runtime warning/error handling change; overlapping files, but not the same concrete bug/change." + }, + { + "left": "pull_request:12549", + "right": "pull_request:12919", + "accept": false, + "reason": "AITER backend addition vs. NPU Ulysses attention support; both attention-backend work, but different backend features 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": 265, + "review_unit_index": 192, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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:10539", + "pull_request:10595", + "pull_request:10704", + "pull_request:10723", + "pull_request:11025", + "pull_request:11059", + "pull_request:11066", + "pull_request:11067", + "pull_request:11236", + "pull_request:11325", + "pull_request:11614", + "pull_request:11770", + "pull_request:12109", + "pull_request:12226", + "pull_request:12301", + "pull_request:12490", + "pull_request:12736", + "pull_request:13321", + "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:6217", + "pull_request:8691", + "pull_request:8897", + "pull_request:8932", + "pull_request:9103", + "pull_request:9257", + "pull_request:9311", + "pull_request:9592", + "pull_request:9688", + "pull_request:9769" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "d7f875813454a82152f4610daddc1d8a3a24d937ed508872ecb17da3fcefdd57", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97696, + "estimated_input_tokens": 24424, + "estimated_eval_tokens": 49104 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated PRs that only overlap at a broad subsystem or documentation level. I do not see any soft-edge pair that fixes the same concrete bug/change, so all candidate duplicate links should be rejected. The strongest representative PR in the cluster is the large Mochi feature PR.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9769 is the most substantial and representative merged change here: it adds a full new core feature (Mochi T2V) with docs, model code, pipeline code, converters, and tests, plus an explicit issue target.", + "best_issue_reason": null, + "best_pr_reason": "PR 9769 is the best global representative because it is the broadest end-to-end code change in the set and has clear feature scope, whereas the others are mostly small fixes or docs updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10723", + "right": "pull_request:9311", + "accept": false, + "reason": "Different bugs in different areas: ControlNet Union per-type scaling vs SDXL ControlNet CFG cutoff. Same broad topic, not the same concrete change." + }, + { + "left": "pull_request:12226", + "right": "pull_request:12736", + "accept": false, + "reason": "A fast test for Qwen-Image ControlNet is unrelated to enabling regional compilation on Z-Image transformer. No shared bug or fix path." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13321", + "accept": false, + "reason": "Audioldm2 test cleanup and Cosmos torchvision import guard are unrelated changes in different components." + }, + { + "left": "pull_request:2193", + "right": "pull_request:2452", + "accept": false, + "reason": "One adds SAG pipeline docs/code, the other adds a core API docs page. No common underlying issue." + }, + { + "left": "pull_request:3587", + "right": "pull_request:5559", + "accept": false, + "reason": "Community example for CLIP-guided image mixing and LCM img2img pipeline are separate features, not duplicates." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4499", + "accept": false, + "reason": "ControlNet guidance start/stop is unrelated to SDXL reference attention/adain support." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4500", + "accept": false, + "reason": "ControlNet guidance scheduling and SDXL reference pipeline support address different code paths." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4501", + "accept": false, + "reason": "These are distinct pipeline features/fixes; they do not implement the same behavior." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4502", + "accept": false, + "reason": "Different functionality: ControlNet guidance windowing vs SDXL reference-attention example/pipeline." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6217", + "accept": false, + "reason": "SDXL pipeline optional text encoders and Stable Video Diffusion torch.compile VAE fix are unrelated." + }, + { + "left": "pull_request:10140", + "right": "pull_request:8897", + "accept": false, + "reason": "ConsisID feature work and AnimateDiff SparseCtrl feature work are separate additions, not the same bug or change." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12301", + "accept": false, + "reason": "UniPC custom sigmas/timesteps support is unrelated to Qwen-Image ControlNet inpainting." + }, + { + "left": "pull_request:2902", + "right": "pull_request:5033", + "accept": false, + "reason": "Both touch img2img/inpaint pipelines, but they fix different issues in different code paths and are not mergeable as one PR." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10188", + "accept": false, + "reason": "Flux attention-mask plumbing and Flux LoRA loading/error handling are separate fixes." + }, + { + "left": "pull_request:10126", + "right": "pull_request:9257", + "accept": false, + "reason": "Deprecating save_attn_procs and a Dreambooth Flux prompt/tokenization fix are unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8691", + "accept": false, + "reason": "CI workflow quoting fix and LoRA loading logic fix do not share an underlying code-path bug." + }, + { + "left": "pull_request:10358", + "right": "pull_request:9592", + "accept": false, + "reason": "Community projects docs update and Flax embedding docstring refactor are unrelated documentation changes." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10595", + "accept": false, + "reason": "Both concern different Sana attention/positional-encoding issues; they do not fix the same concrete bug." + }, + { + "left": "pull_request:10539", + "right": "pull_request:8932", + "accept": false, + "reason": "Flux true CFG condition logic and a temporal transformer test addition are unrelated." + }, + { + "left": "pull_request:10704", + "right": "pull_request:9103", + "accept": false, + "reason": "Img2img documentation correction and distributed LR scheduler training fix are different concerns." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11066", + "accept": false, + "reason": "Wan LoRA conversion support and HunyuanVideo-I2V model support are distinct feature additions." + }, + { + "left": "pull_request:11059", + "right": "pull_request:9769", + "accept": false, + "reason": "Wan t2v LoRA conversion and Mochi T2V core model support are different feature areas and code paths." + }, + { + "left": "pull_request:11067", + "right": "pull_request:11614", + "accept": false, + "reason": "Benchmark transformer pinning and Docker image build workflow changes are unrelated CI fixes." + }, + { + "left": "pull_request:11236", + "right": "pull_request:9688", + "accept": false, + "reason": "Sana Sprint docs rename and Flux ControlNet docs updates are unrelated documentation-only changes." + }, + { + "left": "pull_request:11325", + "right": "pull_request:11770", + "accept": false, + "reason": "HiDream docstring wiring and LoRA docs cleanup 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": 1, + "component_count": 265, + "review_unit_index": 193, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11743", + "pull_request:11767", + "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:1850", + "pull_request:1968", + "pull_request:1978", + "pull_request:2122", + "pull_request:2126", + "pull_request:227", + "pull_request:2365", + "pull_request:2386", + "pull_request:2529", + "pull_request:2530", + "pull_request:2553", + "pull_request:2640", + "pull_request:2693", + "pull_request:2715", + "pull_request:2757", + "pull_request:2861", + "pull_request:327", + "pull_request:3642", + "pull_request:402", + "pull_request:796" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "d9352a5f3e3740a2d489cb4275a6869ea1fe0a337d6bb61a2b15aff7ab754482", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 95602, + "estimated_input_tokens": 23901, + "estimated_eval_tokens": 48058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated PRs (feature additions, docs fixes, CI tweaks, typing changes, and bug fixes) across different code paths and years. I do not see a single underlying issue/change tying them together, so all soft pairs are false positives.", + "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:11743", + "right": "pull_request:11814", + "accept": false, + "reason": "Unrelated: a new research example script vs a Flux gradient-checkpointing argument propagation fix." + }, + { + "left": "pull_request:11767", + "right": "pull_request:12005", + "accept": false, + "reason": "Different bugs: disk group-offloading memory-address collision vs respecting local_files_only for sharded checkpoints." + }, + { + "left": "pull_request:11786", + "right": "pull_request:11894", + "accept": false, + "reason": "Both CI-related, but one fixes a test marker and the other pins a dependency; not the same change." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12805", + "accept": false, + "reason": "Different maintenance areas: removing k-diffusion from core deps vs updating the PyPI publish workflow." + }, + { + "left": "pull_request:12137", + "right": "pull_request:12998", + "accept": false, + "reason": "Constants/plumbing change vs docs/style cleanup; no shared bug or code path." + }, + { + "left": "pull_request:1215", + "right": "pull_request:1968", + "accept": false, + "reason": "Different problems: DDIM eta handling with CPU generators vs CPU offload behavior and docs." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12527", + "accept": false, + "reason": "A typo fix vs a Kandinsky5 no-classifier-free-guidance bug fix; unrelated." + }, + { + "left": "pull_request:1230", + "right": "pull_request:796", + "accept": false, + "reason": "Both MPS/Apple testing related, but one changes fast-test generator handling and the other adds broader M1 test setup." + }, + { + "left": "pull_request:12363", + "right": "pull_request:12530", + "accept": false, + "reason": "New QwenImageEdit Plus docs/tests vs xfail for an unrelated Stable Cascade prior test." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13134", + "accept": false, + "reason": "Different concerns: guarding torch.distributed imports vs a transformer typing annotation fix." + }, + { + "left": "pull_request:12586", + "right": "pull_request:13472", + "accept": false, + "reason": "Unrelated docs sorting vs a model-forward float64 gotcha doc addition." + }, + { + "left": "pull_request:1311", + "right": "pull_request:227", + "accept": false, + "reason": "AltDiffusion test addition vs adding add_noise methods to schedulers; different subsystems and changes." + }, + { + "left": "pull_request:1360", + "right": "pull_request:1978", + "accept": false, + "reason": "Community K-Diffusion pipeline addition vs implementing Pipeline.push_to_hub; not the same feature." + }, + { + "left": "pull_request:1425", + "right": "pull_request:2386", + "accept": false, + "reason": "Both docs typos, but for different pages and different wording; not one underlying fix." + }, + { + "left": "pull_request:1625", + "right": "pull_request:2640", + "accept": false, + "reason": "K-diffusion pipeline shape assumptions vs removing telemetry in pipeline loading; unrelated." + }, + { + "left": "pull_request:171", + "right": "pull_request:1849", + "accept": false, + "reason": "Scheduler eta logic fix vs cross_attention_kwargs plumbing in a different model; distinct code paths." + }, + { + "left": "pull_request:1780", + "right": "pull_request:2715", + "accept": false, + "reason": "A single annotation comment correction vs a broad typo-cleanup PR across many files." + }, + { + "left": "pull_request:1850", + "right": "pull_request:2861", + "accept": false, + "reason": "Test coverage for ResnetBlock2D vs StableUnCLIP image_embeds None handling; unrelated tests." + }, + { + "left": "pull_request:2122", + "right": "pull_request:402", + "accept": false, + "reason": "Different docs efforts: adding safetensors docs vs finishing the intro section." + }, + { + "left": "pull_request:2126", + "right": "pull_request:2693", + "accept": false, + "reason": "Docstring cleanup in pipeline_utils vs fixing an inpaint image link; unrelated." + }, + { + "left": "pull_request:2365", + "right": "pull_request:327", + "accept": false, + "reason": "Scheduler type-note docs vs PNDM pipeline type hints; not the same concrete change." + }, + { + "left": "pull_request:2529", + "right": "pull_request:2757", + "accept": false, + "reason": "Different Stable Diffusion issues: checkpoint conversion fallback vs depth batching fix." + }, + { + "left": "pull_request:2530", + "right": "pull_request:796", + "accept": false, + "reason": "EMAModel test suite vs Apple M1 test infrastructure; different test targets and purposes." + }, + { + "left": "pull_request:2553", + "right": "pull_request:3642", + "accept": false, + "reason": "Flax CFG flag addition vs a TensorRT inpainting community pipeline; unrelated 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": 265, + "review_unit_index": 194, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2598", + "pull_request:2604", + "pull_request:2968", + "pull_request:3127", + "pull_request:3473", + "pull_request:3572", + "pull_request:3607", + "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:4058", + "pull_request:4106", + "pull_request:4203", + "pull_request:4211", + "pull_request:4285", + "pull_request:4347", + "pull_request:4397", + "pull_request:4442", + "pull_request:4499", + "pull_request:4500", + "pull_request:4811", + "pull_request:4856", + "pull_request:5036", + "pull_request:5097", + "pull_request:5098", + "pull_request:5275", + "pull_request:5276", + "pull_request:5369", + "pull_request:5384", + "pull_request:5391", + "pull_request:5396", + "pull_request:5526", + "pull_request:5699", + "pull_request:5724", + "pull_request:5738", + "pull_request:5844", + "pull_request:6198", + "pull_request:6221", + "pull_request:628", + "pull_request:6360", + "pull_request:6365", + "pull_request:819" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "661f3ace2a7c957bb20fc0b7c58c14ba11e3f6168fa76a4c156008b32215071d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 103782, + "estimated_input_tokens": 25946, + "estimated_eval_tokens": 52148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous mix of docs, tests, scheduler fixes, and feature PRs. Among the listed soft edges, 3797/3957 is the only plausible duplicate/continuation candidate; the separate 4499/4500 resemblance is visible in the diffs but is not one of the listed pairings, so I would keep that observation tentative.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3797 is the strongest canonical PR: it is a merged, substantial code fix spanning core model files and has clear relevance to the cluster\u2019s most substantive attention-naming work, though the packet does not show an explicit linked issue.", + "best_issue_reason": null, + "best_pr_reason": "PR 3797 is the best representative of the cluster because it is the most substantial merged code fix with broad impact across core model code; the rest are mostly docs, tests, or separate feature/cleanup PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2598", + "right": "pull_request:628", + "accept": false, + "reason": "Both are docs-related, but they target different pages and different fixes; not the same underlying change." + }, + { + "left": "pull_request:2604", + "right": "pull_request:628", + "accept": false, + "reason": "Same broad docs area, but the concrete edits are unrelated Colab/index fixes." + }, + { + "left": "pull_request:2968", + "right": "pull_request:819", + "accept": false, + "reason": "Different bugs and code paths: img2img post-processing versus DDIM timestep dtype handling." + }, + { + "left": "pull_request:3127", + "right": "pull_request:5396", + "accept": false, + "reason": "Img2img safety-checker postprocessing and stale-bot timezone handling are unrelated changes." + }, + { + "left": "pull_request:3473", + "right": "pull_request:4442", + "accept": false, + "reason": "Both add docs, but for different topics and pipeline guides." + }, + { + "left": "pull_request:3572", + "right": "pull_request:5036", + "accept": false, + "reason": "ControlNet inpaint docs and import-structure/dummy-object maintenance are not the same change." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5526", + "accept": false, + "reason": "Temb attention fixes and scheduler-order handling are different code-path issues." + }, + { + "left": "pull_request:3644", + "right": "pull_request:5844", + "accept": false, + "reason": "Both are docs PRs, but they cover different content and goals." + }, + { + "left": "pull_request:3797", + "right": "pull_request:3957", + "accept": true, + "reason": "These look like the same attention-head naming correction effort in the same UNet-related code paths; 3957 reads as a WIP follow-up to 3797." + }, + { + "left": "pull_request:386", + "right": "pull_request:401", + "accept": false, + "reason": "Separate pipeline docs additions for different models; not a duplicate or continuation." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5098", + "accept": false, + "reason": "Test cleanup for numpy behavior versus Kandinsky precision fixes are different issues." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5276", + "accept": false, + "reason": "Generic test helper cleanup is unrelated to scheduler support for 1D latents." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5724", + "accept": false, + "reason": "Test harness tweaks are not the same as LoRA/PEFT test coverage changes." + }, + { + "left": "pull_request:3989", + "right": "pull_request:5699", + "accept": false, + "reason": "Slow-test/offload cleanup and stylistic UNCLIP changes are unrelated." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4058", + "accept": false, + "reason": "SDXL prompt-embedding feature work and SDXL docs link correction are different changes." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4285", + "accept": false, + "reason": "SDXL prompt-embedding work and ONNX/OpenVINO docs are unrelated." + }, + { + "left": "pull_request:400", + "right": "pull_request:401", + "accept": false, + "reason": "Score SDE VE docs and Karras VE docs are separate pipeline docs, not duplicates." + }, + { + "left": "pull_request:4106", + "right": "pull_request:5738", + "accept": false, + "reason": "Tortoise TTS addition and LoRA adapter deletion are completely different features." + }, + { + "left": "pull_request:4203", + "right": "pull_request:5369", + "accept": false, + "reason": "Dreambooth README typo fix and general docs fixes do not reflect the same underlying change." + }, + { + "left": "pull_request:4211", + "right": "pull_request:6198", + "accept": false, + "reason": "SDXL inpainting docstring correction and benchmark reporting fix are unrelated." + }, + { + "left": "pull_request:4347", + "right": "pull_request:5275", + "accept": false, + "reason": "Scheduler step-index work and adding an SDXL research example do not overlap." + }, + { + "left": "pull_request:4397", + "right": "pull_request:5391", + "accept": false, + "reason": "A specific SDXL docstring default tweak is not the same as broad typehint/docs cleanup across models." + }, + { + "left": "pull_request:4499", + "right": "pull_request:5384", + "accept": false, + "reason": "The diffs show different mechanisms and code paths: SDXL reference-attn support versus hypernetwork loading support." + }, + { + "left": "pull_request:4500", + "right": "pull_request:5384", + "accept": false, + "reason": "Same conclusion as 4499: these are unrelated feature areas despite superficial similarity in docs/examples." + }, + { + "left": "pull_request:4811", + "right": "pull_request:6360", + "accept": false, + "reason": "Adding SDXL ControlNet inpaint support and adding padding_mask_crop across inpaint pipelines are different feature changes." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6365", + "accept": false, + "reason": "Docs link correction and MPS scheduler compatibility fix are unrelated." + }, + { + "left": "pull_request:5097", + "right": "pull_request:6221", + "accept": false, + "reason": "Both touch tests, but one tunes float16 CUDA inference and the other is slow-test cleanup." + }, + { + "left": "pull_request:5397", + "right": "pull_request:0", + "accept": false, + "reason": "No matching pair provided." + }, + { + "left": "pull_request:6360", + "right": "pull_request:4811", + "accept": false, + "reason": "The broader inpaint-argument API change is not the same as adding a new SDXL ControlNet inpaint pipeline." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The cluster read is mostly conservative, but a couple of claims go beyond what the packet shows. In particular, the canonical PR rationale says PR 3797 has a \"clear issue trail,\" but the packet shows no explicit issue links for 3797 and only inbound references, so that should be softened. Also, the summary should stay a bit more tentative about duplicate/continuation candidates: 3797/3957 is plausible as a follow-up, while the 4499/4500 similarity is visible from the diffs but is not directly part of the listed soft-edge pairings. 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different issues." + }, + { + "left": "pull_request:2001", + "right": "pull_request:3410", + "accept": false, + "reason": "ColossalAI initialization fix vs DeepSpeed state access; not the same underlying problem." + }, + { + "left": "pull_request:2325", + "right": "pull_request:4498", + "accept": false, + "reason": "ONNX VAE converter addition vs SDXL reference example/docs; unrelated." + }, + { + "left": "pull_request:2584", + "right": "pull_request:3127", + "accept": false, + "reason": "Community ControlNet img2img pipeline addition vs img2img safety-checker tensor handling; different code paths." + }, + { + "left": "pull_request:2584", + "right": "pull_request:4276", + "accept": false, + "reason": "Community pipeline implementation vs a pipeline import test; not a duplicate 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": "Temb attention fix vs PixArt mask_feature condition; both touch attention-related code but solve different bugs." + }, + { + "left": "pull_request:3691", + "right": "pull_request:4655", + "accept": false, + "reason": "LoRA processor selection in loaders vs adding data_dir to dataset loading; unrelated." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5747", + "accept": false, + "reason": "LoRA unloading utility/docs vs passing data_dir to load_dataset; different changes." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4315", + "accept": false, + "reason": "SDXL DreamBooth LoRA feature fixes vs torch.compile graph-break fix in LoRA conv2d; not the same issue." + }, + { + "left": "pull_request:4343", + "right": "pull_request:5508", + "accept": false, + "reason": "Adding rank to SDXL LoRA training vs a broader DreamBooth LoRA feature PR; related file, but not one concrete mergeable fix." + }, + { + "left": "pull_request:4395", + "right": "pull_request:4629", + "accept": false, + "reason": "DreamBooth class-prompt pre-encode fix vs SDXL long weighted prompt pipeline/community docs; 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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": 1, + "component_count": 265, + "review_unit_index": 198, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10020", + "pull_request:11261", + "pull_request:11268", + "pull_request:11582", + "pull_request:11894", + "pull_request:11979", + "pull_request:12117", + "pull_request:12119", + "pull_request:12215", + "pull_request:12220", + "pull_request:12301", + "pull_request:12324", + "pull_request:12416", + "pull_request:12439", + "pull_request:12445", + "pull_request:12830", + "pull_request:1369", + "pull_request:1966", + "pull_request:2040", + "pull_request:3846", + "pull_request:4098", + "pull_request:4714", + "pull_request:5668", + "pull_request:5833", + "pull_request:5834", + "pull_request:6003", + "pull_request:6841", + "pull_request:7062", + "pull_request:7103", + "pull_request:7134", + "pull_request:7158", + "pull_request:7200", + "pull_request:7295", + "pull_request:7627", + "pull_request:7650", + "pull_request:7797", + "pull_request:7803", + "pull_request:819", + "pull_request:8229", + "pull_request:8378", + "pull_request:8422", + "pull_request:8702", + "pull_request:8981", + "pull_request:9175", + "pull_request:9569", + "pull_request:9662", + "pull_request:9875", + "pull_request:9918" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "e641729f9af1730779c436c167d33b7c721a5507a365c804996e31615d8ea551", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101264, + "estimated_input_tokens": 25316, + "estimated_eval_tokens": 50888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are separate feature additions or small test/doc/CI fixes, not duplicates. The Qwen/QwenImage PRs are related by product area, but they target different pipelines, models, or modular layers, so none should be merged as the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR is safe here: the cluster mixes unrelated fixes and several distinct Qwen/QwenImage feature PRs, so no single PR truly subsumes the rest.", + "best_issue_reason": null, + "best_pr_reason": "If a representative PR is needed, 12220 is the broadest Qwen-centric architectural change, but it still does not represent the other feature PRs as duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7062", + "right": "pull_request:8378", + "accept": false, + "reason": "Docstring cleanup for Imagic vs. a separate asymmetric autoencoder forward fix; different code paths and symptoms." + }, + { + "left": "pull_request:7103", + "right": "pull_request:8378", + "accept": false, + "reason": "ControlNet input validation bugfix vs. asymmetric autoencoder forward behavior; unrelated changes." + }, + { + "left": "pull_request:7134", + "right": "pull_request:7295", + "accept": false, + "reason": "UNet type-hint/docs cleanup vs. single-file loader copy-paste cleanup; not the same bug or change." + }, + { + "left": "pull_request:7200", + "right": "pull_request:7650", + "accept": false, + "reason": "Transformer2D input/norm validation vs. SDXL InstructPix2Pix argument support; different features entirely." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9569", + "accept": false, + "reason": "Playground SDXL img2img latent handling vs. CogVideoX autoencoder decode fix; different pipelines and failure modes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:9662", + "accept": false, + "reason": "DDPM fast-test model shrink vs. LoRA test version gate; both are tests, but not the same underlying issue." + }, + { + "left": "pull_request:7803", + "right": "pull_request:9662", + "accept": false, + "reason": "DDIM fast-test shrink vs. LoRA test dependency bump; unrelated test maintenance." + }, + { + "left": "pull_request:8422", + "right": "pull_request:9918", + "accept": false, + "reason": "Subfolder-loading test suite vs. server example docs/code; different goals and code paths." + }, + { + "left": "pull_request:8702", + "right": "pull_request:8981", + "accept": false, + "reason": "SD3 conversion script vs. LoRA loader mixin/init exposure; unrelated tooling changes." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12220", + "accept": false, + "reason": "Qwen-Image ControlNet support vs. Qwen modular pipeline refactor; same ecosystem, but different concrete changes." + }, + { + "left": "pull_request:11582", + "right": "pull_request:12324", + "accept": false, + "reason": "Wan VACE vs. Wan2.2 VACE-Fun support; same family, but different model/version support." + }, + { + "left": "pull_request:11261", + "right": "pull_request:9875", + "accept": false, + "reason": "VidTok autoencoder addition vs. Meissonic model/pipeline addition; unrelated model families." + }, + { + "left": "pull_request:11268", + "right": "pull_request:11894", + "accept": false, + "reason": "Unclip test tolerance relaxation vs. k-diffusion CI pin; separate CI/test fixes." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12830", + "accept": false, + "reason": "Torch version gating for compile tests vs. attention-backend test enhancements; different test areas and bugs." + }, + { + "left": "pull_request:1369", + "right": "pull_request:819", + "accept": false, + "reason": "Flax sin/cos embedding fix vs. DDIM int64 timestep fix; unrelated numerical issues." + }, + { + "left": "pull_request:3846", + "right": "pull_request:5833", + "accept": false, + "reason": "Random seeding cleanup vs. single-file import path fix; not the same problem." + }, + { + "left": "pull_request:3846", + "right": "pull_request:5834", + "accept": false, + "reason": "Random seeding cleanup vs. single-file import path fix; unrelated." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5668", + "accept": false, + "reason": "Optional-transformers error handling vs. broader no-Transformers support; related theme, but not the same concrete fix." + }, + { + "left": "pull_request:6841", + "right": "pull_request:8981", + "accept": false, + "reason": "BasicTransformerBlock param compatibility vs. LoRA loader init exposure; unrelated chores." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8229", + "accept": false, + "reason": "Benchmark-only fix vs. Stable Video Diffusion resize fix; different subsystems and issues." + }, + { + "left": "pull_request:4098", + "right": "pull_request:6003", + "accept": false, + "reason": "SDXL inpainting implementation vs. Stable Video Diffusion inpaint WIP; different pipelines, not mergeable as one PR." + }, + { + "left": "pull_request:1966", + "right": "pull_request:2040", + "accept": false, + "reason": "Flax inpainting implementation vs. InstructPix2Pix pipeline; both add pipelines, but not the same feature." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12445", + "accept": false, + "reason": "QwenImage ControlNet-inpaint pipeline vs. Flux modular refactor; different model families and code paths." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12416", + "accept": false, + "reason": "QwenImage img2img/inpaint pipelines vs. QwenImage Edit Plus modular support; same general area, but distinct features." + }, + { + "left": "pull_request:10020", + "right": "pull_request:9175", + "accept": false, + "reason": "SD3 ControlNet conversion script vs. Flux ControlNet support; different models and implementation targets." + }, + { + "left": "pull_request:12119", + "right": "pull_request:12439", + "accept": false, + "reason": "QwenImage Lightning LoRA loader support vs. attention-backend kernel support; unrelated layers of the stack." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 199, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10008", + "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:12288", + "pull_request:12611", + "pull_request:13216", + "pull_request:1496", + "pull_request:1920", + "pull_request:1942", + "pull_request:2347", + "pull_request:237", + "pull_request:2467", + "pull_request:2487", + "pull_request:2516", + "pull_request:3260", + "pull_request:3370", + "pull_request:3552", + "pull_request:3561", + "pull_request:3711", + "pull_request:3806", + "pull_request:3850", + "pull_request:3877", + "pull_request:4887", + "pull_request:492", + "pull_request:5180", + "pull_request:5196", + "pull_request:5456", + "pull_request:5614", + "pull_request:750", + "pull_request:9257", + "pull_request:934", + "pull_request:9709" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "ec9e4716a8c3755495e37334f9476512c5c22e8fb9185d1f9fa4637ab72de153", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 100195, + "estimated_input_tokens": 25049, + "estimated_eval_tokens": 50354 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated docs, CI, model, and pipeline PRs; the soft edges are false positives from superficial similarity, not true duplicates.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a valid canonical duplicate for this cluster: the items span unrelated changes across documentation, training scripts, CI, schedulers, loaders, and separate feature additions.", + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:12611", + "right": "pull_request:13216", + "accept": false, + "reason": "Different feature areas: Wan modular pipeline/guiders vs Helios modular pipeline. Same broad modular-pipeline subsystem, but not the same change or code path." + }, + { + "left": "pull_request:10008", + "right": "pull_request:11095", + "accept": false, + "reason": "CogVideoX docs table formatting vs Flux ControlNet example fix. Both are docs/code polish, but entirely different artifacts and bugs." + }, + { + "left": "pull_request:10119", + "right": "pull_request:11556", + "accept": false, + "reason": "LoRA adapter docs update vs regional compilation docs. No shared bug or implementation path." + }, + { + "left": "pull_request:1012", + "right": "pull_request:1129", + "accept": false, + "reason": "DreamBooth PyTorch training mode fix vs Flax sample batch size fix. Different frameworks and issues." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11004", + "accept": false, + "reason": "Docs for LoRA loader mixins vs peft full-key-prefix handling in code. One is documentation, the other is a loader compatibility change." + }, + { + "left": "pull_request:10494", + "right": "pull_request:10497", + "accept": false, + "reason": "Both touch CI tokenizers install, but one switches to plain tokenizers and the other specifies a git subdirectory; they are different fixes with different intended behavior." + }, + { + "left": "pull_request:10633", + "right": "pull_request:10898", + "accept": false, + "reason": "Flux IP-Adapter docs example vs remote_decode feature implementation. Different docs and codepaths." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9257", + "accept": false, + "reason": "Unwrap hooks fix in pipeline_utils vs DreamBooth Flux prompt/tokenization bug fix. Unrelated issues." + }, + { + "left": "pull_request:10894", + "right": "pull_request:9709", + "accept": false, + "reason": "Toctree sorting/docs navigation cleanup vs torch version upper-bound CI pin. Different concerns and files." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11999", + "accept": false, + "reason": "Musubi WAN LoRA conversion support vs PEFT config injection adaptation. Both LoRA-related, but different compatibility problems and code paths." + }, + { + "left": "pull_request:11261", + "right": "pull_request:12288", + "accept": false, + "reason": "VidTok autoencoder addition vs InfiniteTalk pipeline addition. Different model families and features, not mergeable into one PR." + }, + { + "left": "pull_request:11979", + "right": "pull_request:11994", + "accept": false, + "reason": "Torch compile test version gating vs huggingface-hub login wording fixes. One is test gating, the other is docs/example text updates." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2516", + "accept": false, + "reason": "Habana Gaudi doc page vs evaluation guide docs. Separate documentation additions with no duplicate target." + }, + { + "left": "pull_request:1920", + "right": "pull_request:750", + "accept": false, + "reason": "Docs translation guide vs LMS timestep back-compat in scheduler code. Completely different scope." + }, + { + "left": "pull_request:1942", + "right": "pull_request:3850", + "accept": false, + "reason": "Converter CLI flag rename/fix vs audio diffusion test adjustments. Different codepaths and purposes." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2467", + "accept": false, + "reason": "Glide noising schedule scheduler changes vs latent output type API changes. Shared test infra only, not the same underlying change." + }, + { + "left": "pull_request:237", + "right": "pull_request:934", + "accept": false, + "reason": "Initial test workflow plus one failing test fix vs MPS-specific test expectation fixes. 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Not the same issue." + }, + { + "left": "pull_request:1956", + "right": "pull_request:3334", + "accept": false, + "reason": "A typo fix in a community example versus a generic docstring cleanup. Different scopes and artifacts." + }, + { + "left": "pull_request:2584", + "right": "pull_request:3586", + "accept": false, + "reason": "Community ControlNet img2img pipeline addition versus a separate community tiling pipeline example. Distinct features, not duplicates." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3675", + "accept": false, + "reason": "Scheduler switching/config normalization versus a one-off V100 test fix. No common bug." + }, + { + "left": "pull_request:3471", + "right": "pull_request:5299", + "accept": false, + "reason": "DreamBooth docs note versus model typehint/doc improvements. 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Different pipelines and code paths." + }, + { + "left": "pull_request:4177", + "right": "pull_request:6511", + "accept": false, + "reason": "Make safetensors required dependency versus torch.compile-compatible checkpointing. Unrelated changes." + }, + { + "left": "pull_request:4188", + "right": "pull_request:5741", + "accept": false, + "reason": "SDXL ControlNet dataset fingerprint/cache fix versus LoRA unload speedup. Different problems and files." + }, + { + "left": "pull_request:4214", + "right": "pull_request:5754", + "accept": false, + "reason": "Custom Diffusion bf16/runtime fix versus formatting-only style cleanup. Not the same underlying bug." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6195", + "accept": false, + "reason": "An abandoned WIP pipeline conversion versus AnimateDiff SDXL work. No shared implemented change." + }, + { + "left": "pull_request:5030", + "right": "pull_request:5424", + "accept": false, + "reason": "Model offload missing-key bug fix versus slow-test pipeline fetcher filtering. Distinct utilities and failure modes." + }, + { + "left": "pull_request:5157", + "right": "pull_request:6448", + "accept": false, + "reason": "ControlNet/Kohya LoRA name conversion fix versus LoRA test assertions update. One is production code, the other test maintenance." + }, + { + "left": "pull_request:5157", + "right": "pull_request:6772", + "accept": false, + "reason": "ControlNet/Kohya LoRA conversion fix versus large ControlNet-XS feature implementation. Different code paths and scope." + }, + { + "left": "pull_request:5665", + "right": "pull_request:6772", + "accept": false, + "reason": "ControlNet img2img preprocess sizing fix versus ControlNet-XS implementation. Not the same bug or change." + }, + { + "left": "pull_request:5788", + "right": "pull_request:6231", + "accept": false, + "reason": "LCM scheduler error-message guard versus SDXL LoRA fp16 training fix. Separate issues in different modules." + }, + { + "left": "pull_request:6081", + "right": "pull_request:6332", + "accept": false, + "reason": "Unmerged Euler-sigmas pipeline edit versus Rerender-A-Video community pipeline. Different pipelines and objectives." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8404", + "accept": false, + "reason": "Community video-to-video pipeline addition versus Latte video-generation model/pipeline. Both are video-related, but different implementations and 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": 265, + "review_unit_index": 205, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10126", + "pull_request:10127", + "pull_request:10230", + "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:12315", + "pull_request:12530", + "pull_request:12933", + "pull_request:12934", + "pull_request:2002", + "pull_request:4944", + "pull_request:5388", + "pull_request:5653", + "pull_request:5713", + "pull_request:5823", + "pull_request:6432", + "pull_request:6490", + "pull_request:6511", + "pull_request:6884", + "pull_request:689", + "pull_request:7016", + "pull_request:7115", + "pull_request:7200", + "pull_request:7359", + "pull_request:7458", + "pull_request:7638", + "pull_request:7652", + "pull_request:819", + "pull_request:8303", + "pull_request:8512", + "pull_request:8566", + "pull_request:8722", + "pull_request:8932", + "pull_request:8973", + "pull_request:9244", + "pull_request:9400", + "pull_request:9687", + "pull_request:9827", + "pull_request:9896", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:6432|pull_request:7638", + "pull_request:6432|pull_request:8303", + "pull_request:6511|pull_request:7652", + "pull_request:689|pull_request:819", + "pull_request:7115|pull_request:8512", + "pull_request:7200|pull_request:8722", + "pull_request:7458|pull_request:7638", + "pull_request:8566|pull_request:9987", + "pull_request:9400|pull_request:9896", + "pull_request:4944|pull_request:5653", + "pull_request:6884|pull_request:7016", + "pull_request:12933|pull_request:12934", + "pull_request:5388|pull_request:5823", + "pull_request:6490|pull_request:7359", + "pull_request:5713|pull_request:7016", + "pull_request:10126|pull_request:9827", + "pull_request:10127|pull_request:8932", + "pull_request:10127|pull_request:8973", + "pull_request:10230|pull_request:10719", + "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" + ], + "prepared_review_unit_hash": "87d2b30aa2efd6bfe61d1c42c61b15291107dbda67aff894476734cbdd36bb6c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 105369, + "estimated_input_tokens": 26343, + "estimated_eval_tokens": 52942 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose soft-similarity grouping of many unrelated pull requests across docs, tests, CI, LoRA/IP-Adapter, Flux, SD3, and LTX2. None of the candidate 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": "No single canonical PR fits this cluster: the items span unrelated fixes/features with only superficial subsystem or keyword overlap.", + "best_issue_reason": null, + "best_pr_reason": "No best PR for deduplication purposes; the cluster is too heterogeneous, so any PR would be a misleading representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6432", + "right": "pull_request:7638", + "accept": false, + "reason": "Different docs-only edits: one changes an SDXL training README LR example, the other fixes a contributing link." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8303", + "accept": false, + "reason": "Unrelated documentation changes in different files and topics; no shared underlying issue." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7652", + "accept": false, + "reason": "Different problems: torch.compile checkpointing compatibility vs docker buildx workflow setup." + }, + { + "left": "pull_request:689", + "right": "pull_request:819", + "accept": false, + "reason": "Completely different code paths: attention test speed vs DDIM timestep dtype on Windows." + }, + { + "left": "pull_request:7115", + "right": "pull_request:8512", + "accept": false, + "reason": "Unrelated refactors: Dockerfile dependency change vs removal of a deprecated inpaint helper." + }, + { + "left": "pull_request:7200", + "right": "pull_request:8722", + "accept": false, + "reason": "Both touch model internals, but one is an input validation fix and the other is a broad embeddings refactor." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7638", + "accept": false, + "reason": "Different test-skipping logic vs a CONTRIBUTING.md link fix; no common bug or change." + }, + { + "left": "pull_request:8566", + "right": "pull_request:9987", + "accept": false, + "reason": "Both involve SD3, but one adds ControlNet support while the other integrates SD3.5 IP-Adapter; distinct features." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9896", + "accept": false, + "reason": "One makes single-file tests device-agnostic; the other reverts Flux device/typecasting changes. 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No shared underlying defect." + }, + { + "left": "pull_request:10127", + "right": "pull_request:8973", + "accept": false, + "reason": "One is an xfail for SD configs; the other reduces a Lumina test model size. Different test maintenance tasks." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10719", + "accept": false, + "reason": "Docs-only LoRA loader mixin additions vs provider_options plumbing in from_pretrained; unrelated changes." + }, + { + "left": "pull_request:10342", + "right": "pull_request:10966", + "accept": false, + "reason": "`get_parameter_dtype` behavior update vs CogView4 input-shape validation; different code paths and problems." + }, + { + "left": "pull_request:10506", + "right": "pull_request:11124", + "accept": false, + "reason": "TorchAO sequential CPU offload test vs CogView4 tokenizer/test fix; unrelated." + }, + { + "left": "pull_request:10539", + "right": "pull_request:9244", + "accept": false, + "reason": "Flux CFG condition change vs adding single-file support for Flux; distinct functionality." + }, + { + "left": "pull_request:10719", + "right": "pull_request:9687", + "accept": false, + "reason": "`from_pretrained` provider_options plumbing vs Flux ControlNet support; no overlap in underlying issue." + }, + { + "left": "pull_request:11292", + "right": "pull_request:12315", + "accept": false, + "reason": "SDXL LoRA conversion support vs pruning scheduler variants in LoRA tests; different goals." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2002", + "accept": false, + "reason": "A 404-link fix in examples README vs the original LoRA fine-tuning feature PR; unrelated." + }, + { + "left": "pull_request:11613", + "right": "pull_request:12530", + "accept": false, + "reason": "Reverting torch.compile CI changes vs xfail-ing a specific Stable Cascade test; separate test/CI 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": 265, + "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:11823", + "pull_request:11877", + "pull_request:11892", + "pull_request:12275", + "pull_request:1229", + "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: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:2994", + "pull_request:3034", + "pull_request:3080", + "pull_request:326", + "pull_request:3321", + "pull_request:3339", + "pull_request:3397", + "pull_request:3410", + "pull_request:3657", + "pull_request:3675", + "pull_request:3691", + "pull_request:3806", + "pull_request:3850", + "pull_request:4276", + "pull_request:4499", + "pull_request:4500", + "pull_request:4572", + "pull_request:5056", + "pull_request:5526", + "pull_request:689", + "pull_request:826" + ], + "soft_pairs": [ + "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", + "pull_request:2793|pull_request:3691", + "pull_request:2994|pull_request:3657", + "pull_request:3034|pull_request:4572", + "pull_request:3080|pull_request:3675", + "pull_request:326|pull_request:826", + "pull_request:3321|pull_request:3339", + "pull_request:3675|pull_request:5526", + "pull_request:3806|pull_request:5056" + ], + "prepared_review_unit_hash": "741a740ec3f9ad232b12b1346791574d20848ca18fa19ed30a5b1e22dbab1a6e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 95986, + "estimated_input_tokens": 23997, + "estimated_eval_tokens": 48250 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are a mixed bag of unrelated docs, dependency, test, and model/code-path changes. 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other tightens dependency testing and workflow setup; not the same bug/change." + }, + { + "left": "pull_request:13330", + "right": "pull_request:13332", + "accept": false, + "reason": "TorchAO test fixes and dependency-testing workflow changes address different failures and code paths." + }, + { + "left": "pull_request:1508", + "right": "pull_request:2122", + "accept": false, + "reason": "Dreambooth class-image docs are unrelated to safetensors documentation." + }, + { + "left": "pull_request:1508", + "right": "pull_request:2793", + "accept": false, + "reason": "Both are docs, but one is Dreambooth training guidance and the other removes a cuDNN benchmark suggestion; different content." + }, + { + "left": "pull_request:1564", + "right": "pull_request:1910", + "accept": false, + "reason": "Default accelerate config docs and Korean docs initialization are unrelated documentation changes." + }, + { + "left": "pull_request:1706", + "right": "pull_request:2795", + "accept": false, + 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changes and a docs note about local directory paths do not fix the same issue." + }, + { + "left": "pull_request:2793", + "right": "pull_request:3691", + "accept": false, + "reason": "Removing cuDNN benchmark guidance is unrelated to selecting LoRAAttnProcessor2_0 for text-encoder LoRA." + }, + { + "left": "pull_request:2994", + "right": "pull_request:3657", + "accept": false, + "reason": "ControlNet training type-casting and checkpoint-parsing tweaks are both ControlNet-related but fix different concrete problems in different scripts." + }, + { + "left": "pull_request:3034", + "right": "pull_request:4572", + "accept": false, + "reason": "Wrong accelerate parameter name and LoRA network_alpha pluralization are separate fixes in different examples." + }, + { + "left": "pull_request:3080", + "right": "pull_request:3675", + "accept": false, + "reason": "Pipeline save-pretrained cleanup and a V100 test fix are unrelated." + }, + { + "left": "pull_request:3321", + "right": 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The only clear duplicate pair is the two negative-prompt test tweaks (#1256/#1258), which are the same test change in slightly different forms.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifact is present. If a PR must represent the cluster, #1258 is the cleanest canonical choice because it is the fuller negative-prompt test change and matches the only true duplicate pair.", + "best_issue_reason": null, + "best_pr_reason": "#1258 is the best PR representative because it cleanly captures the duplicated negative-prompt test fix; the other PRs are too heterogeneous and mostly unrelated feature/docs/infra changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6893", + "right": "pull_request:8722", + "accept": false, + "reason": "Different subsystems and different goals: 3D UNet attention refactor vs embeddings refactor." + }, + { + "left": "pull_request:7134", + "right": "pull_request:7213", + "accept": false, + "reason": "Type-hint cleanup in UNet code is unrelated to a LoRA docs update." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9569", + "accept": false, + "reason": "Both are model/pipeline fixes, but they address different code paths and different bugs." + }, + { + "left": "pull_request:8685", + "right": "pull_request:9918", + "accept": false, + "reason": "Docs-only changes for unrelated topics: float8 note vs server example." + }, + { + "left": "pull_request:9049", + "right": "pull_request:9988", + "accept": false, + "reason": "Both involve Flux, but one is a narrow dtype fix in encode_prompt and the other is a broad Redux/conversion feature PR." + }, + { + "left": "pull_request:2040", + "right": "pull_request:241", + "accept": false, + "reason": "InstructPix2Pix pipeline addition and an inpainting example script are distinct changes." + }, + { + "left": "pull_request:4617", + "right": "pull_request:5057", + "accept": false, + "reason": "Encode-prompt refactor and SDXL clip-skip support are related at a high level but not the same concrete change." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9423", + "accept": false, + "reason": "LoRA fusion for SD3 vs Differential Diffusion for Kolors are separate features." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9311", + "accept": false, + "reason": "Both mention ControlNet, but they target different models and different functionality." + }, + { + "left": "pull_request:10633", + "right": "pull_request:11017", + "accept": false, + "reason": "Flux docs IP-Adapter example vs hybrid inference VAE encode docs/code are unrelated." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11645", + "accept": false, + "reason": "Interpolation-mode argument change and torch-version fallback are unrelated fixes." + }, + { + "left": "pull_request:1256", + "right": "pull_request:1258", + "accept": true, + "reason": "These are the same negative-prompt test update in the same file; the only difference is positional vs named argument style." + }, + { + "left": "pull_request:12618", + "right": "pull_request:13164", + "accept": false, + "reason": "Both touch CI workflows, but one fixes a uv uninstall typo while the other removes test deps; different changes." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2994", + "accept": false, + "reason": "Wrong docs link and ControlNet training type-casting are unrelated." + }, + { + "left": "pull_request:3137", + "right": "pull_request:3189", + "accept": false, + "reason": "Different dtype-related fixes in different components: UNet class labels vs AudioLDM waveform output." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4793", + "accept": false, + "reason": "Kandinsky combined pipeline offload/xformers additions are not the same as auto_pipeline kwargs handling." + }, + { + "left": "pull_request:5021", + "right": "pull_request:7216", + "accept": false, + "reason": "Scheduler mapping docs vs single-file loader signature update are unrelated." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA infrastructure, but one fixes offloading behavior and the other adds adapter_names support for fusion." + }, + { + "left": "pull_request:5299", + "right": "pull_request:6236", + "accept": false, + "reason": "General model type-hint/docs cleanup is unrelated to a ControlNet inpainting doc example fix." + }, + { + "left": "pull_request:5880", + "right": "pull_request:7632", + "accept": false, + "reason": "Both mention VAE loading/compatibility, but they fix different failures in different code paths." + }, + { + "left": "pull_request:6673", + "right": "pull_request:7062", + "accept": false, + "reason": "InstantID pipeline addition vs imagic docstring correction are unrelated." + }, + { + "left": "pull_request:8722", + "right": "pull_request:8952", + "accept": false, + "reason": "Embeddings refactor and QKV fusion support are distinct core model changes." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9638", + "accept": false, + "reason": "Both are ControlNet-related, but they implement different Flux/SD3 model support and cannot be merged as one fix." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9838", + "accept": false, + "reason": "Shared Flux training files, but the actual fixes are different: LR handling vs custom-prompt repetition/memory logic." + }, + { + "left": "pull_request:10056", + "right": "pull_request:11485", + "accept": false, + "reason": "Flux Redux pipeline work and Flex.2 pipeline addition are unrelated features." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The lone accepted pair (#1256/#1258) is supported by the shared test file and nearly identical negative-prompt test change, while the other pairwise rejections are plausibly conservative given the packet evidence. No overstatement of evidence 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": 265, + "review_unit_index": 210, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10630", + "pull_request:10867", + "pull_request:10983", + "pull_request:11130", + "pull_request:11475", + "pull_request:11485", + "pull_request:11588", + "pull_request:11786", + "pull_request:11797", + "pull_request:11979", + "pull_request:11994", + "pull_request:11995", + "pull_request:12041", + "pull_request:12249", + "pull_request:12330", + "pull_request:13063", + "pull_request:13208", + "pull_request:1327", + "pull_request:1355", + "pull_request:1458", + "pull_request:1470", + "pull_request:2129", + "pull_request:2385", + "pull_request:241", + "pull_request:2557", + "pull_request:2954", + "pull_request:3351", + "pull_request:4461", + "pull_request:4712", + "pull_request:4714", + "pull_request:5115", + "pull_request:5261", + "pull_request:5298", + "pull_request:5440", + "pull_request:6424", + "pull_request:6673", + "pull_request:7158", + "pull_request:7359", + "pull_request:7541", + "pull_request:7924", + "pull_request:821", + "pull_request:823", + "pull_request:8640", + "pull_request:8688", + "pull_request:8739", + "pull_request:9099", + "pull_request:9542", + "pull_request:9573" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "fba005622d893e065b7c501621f14758682da4e74a93f132c76a641a01275990", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "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": "No strong duplicate here: the soft pairs mostly share broad ecosystem keywords (pipelines, quantization, tests, LoRA, docs) but fix different concrete code paths or ship unrelated features. I would not merge any of these 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:11475", + "right": "pull_request:11994", + "accept": false, + "reason": "WAN recompilation fix vs Hugging Face CLI/login docs-test failure; unrelated code paths and different problem types." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12330", + "accept": false, + "reason": "Torch version gating for compilation tests is unrelated to cleaning group-offloading test coverage." + }, + { + "left": "pull_request:1327", + "right": "pull_request:821", + "accept": false, + "reason": "Local custom pipeline loading vs an all-in-one Stable Diffusion demo pipeline; different features and scopes." + }, + { + "left": "pull_request:1458", + "right": "pull_request:823", + "accept": false, + "reason": "ONNX import utility tweak is unrelated to negative-prompt type checking in Stable Diffusion pipelines." + }, + { + "left": "pull_request:1470", + "right": "pull_request:2557", + "accept": false, + "reason": "AltDiffusion compatibility for DreamBooth training is not the same as adding intermediate logging to the training script." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12041", + "accept": false, + "reason": "Flex.2 pipeline addition and Wan VAE patching are separate model/pipeline changes, not one fix." + }, + { + "left": "pull_request:1355", + "right": "pull_request:241", + "accept": false, + "reason": "Flax img2img pipeline addition and an inpainting example are distinct pipelines/examples." + }, + { + "left": "pull_request:4461", + "right": "pull_request:5115", + "accept": false, + "reason": "Both touch a conversion script, but one adds pipeline_class_name and the other adds config_files; different bugs/flags." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8688", + "accept": false, + "reason": "Benchmark workflow fix vs LoRA DoRA conversion utility fix; different subsystems and failure modes." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11786", + "accept": false, + "reason": "Flax test expectation adjustment is unrelated to the big-GPU marker/CI fix." + }, + { + "left": "pull_request:4712", + "right": "pull_request:6673", + "accept": false, + "reason": "Test-fetcher utility addition has nothing to do with InstantID pipeline docs/code." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5261", + "accept": false, + "reason": "Import error-message handling and callback step indexing are unrelated fixes." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11588", + "accept": false, + "reason": "Hunyuan I2V pipeline support and Wan LoRA I2V support are different model families and implementation paths." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12249", + "accept": false, + "reason": "Flux modular pipeline support and Step1X-Edit pipeline addition are separate feature additions." + }, + { + "left": "pull_request:6424", + "right": "pull_request:7924", + "accept": false, + "reason": "PixArt checkpoint conversion bug and SDXL ControlNet IP-Adapter conditional handling are unrelated." + }, + { + "left": "pull_request:2385", + "right": "pull_request:3351", + "accept": false, + "reason": "Pix2Pix Zero helper addition does not match LMS Karras sigmas scheduler change." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5440", + "accept": false, + "reason": "LoRA torch.compile conv fix and local single-file loading are unrelated fixes." + }, + { + "left": "pull_request:7359", + "right": "pull_request:8739", + "accept": false, + "reason": "ResAdapter training script and ConsistencyTTA community pipeline are different community projects." + }, + { + "left": "pull_request:7541", + "right": "pull_request:8640", + "accept": false, + "reason": "Dispatchable nightly workflow changes are unrelated to a Flax test tolerance tweak." + }, + { + "left": "pull_request:2129", + "right": "pull_request:2954", + "accept": false, + "reason": "Pipeline LoRA support and TextToVideoZero pipeline creation are separate features." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9573", + "accept": false, + "reason": "Both touch SD3/controlnet files, but one adds inpainting support and the other changes dimension divisibility validation; not the same change." + }, + { + "left": "pull_request:13063", + "right": "pull_request:13208", + "accept": false, + "reason": "Wan modular refactor and Helios pipeline addition are different model/pipeline families." + }, + { + "left": "pull_request:11130", + "right": "pull_request:11797", + "accept": false, + "reason": "Pipeline-level quantization config and Higgs quantization implementation are distinct quantization methods/features." + }, + { + "left": "pull_request:10867", + "right": "pull_request:9542", + "accept": false, + "reason": "Multi IP-Adapter support for Flux and Kohya Flux LoRA text-encoder conversion 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": 265, + "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:10114", + "pull_request:10115", + "pull_request:10119", + "pull_request:10126", + "pull_request:10140", + "pull_request:10148", + "pull_request:1017", + "pull_request:10188", + "pull_request:10245", + "pull_request:10506", + "pull_request:10730", + "pull_request:10970", + "pull_request:11231", + "pull_request:11475", + "pull_request:11564", + "pull_request:11660", + "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:1885", + "pull_request:2721", + "pull_request:3386", + "pull_request:3476", + "pull_request:4098", + "pull_request:428", + "pull_request:7", + "pull_request:8412", + "pull_request:8425", + "pull_request:8497", + "pull_request:8774", + "pull_request:9286", + "pull_request:9507", + "pull_request:9769", + "pull_request:9893", + "pull_request:9988" + ], + "soft_pairs": [ + "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", + "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" + ], + "prepared_review_unit_hash": "a55676e14ad721a68d9962c2b2afdf02a183f99c6f11a372b5ef4a0be979ed2f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 103980, + "estimated_input_tokens": 25995, + "estimated_eval_tokens": 52246 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-edge pairs are mostly broad-similarity false positives: shared subsystems, docs, or adjacent model families, but not the same concrete bug or change. I would not merge any of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single pull request is a clear canonical duplicate target here; the cluster is heterogeneous and the apparent overlaps are mostly superficial or adjacent feature work.", + "best_issue_reason": null, + "best_pr_reason": "No PR in this set is a strong global representative for duplicate triage because the items span unrelated features, fixes, and docs updates rather than one underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2721", + "right": "pull_request:3476", + "accept": false, + "reason": "Different features in different areas: ModelEditing pipeline vs a scheduler sigma option." + }, + { + "left": "pull_request:3386", + "right": "pull_request:4098", + "accept": false, + "reason": "Both touch image generation/inpainting, but one is a ControlNet refactor and the other is SDXL inpainting; not the same code-path problem." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12119", + "accept": false, + "reason": "UniPC scheduler custom sigmas/timesteps is unrelated to Qwen-Image-Lightning LoRA loading." + }, + { + "left": "pull_request:12584", + "right": "pull_request:12723", + "accept": false, + "reason": "Related video-model family, but one adds SANA-Video inference and the other adds LongSANA; different model variants and goals." + }, + { + "left": "pull_request:11231", + "right": "pull_request:12119", + "accept": false, + "reason": "HiDream Image core addition is unrelated to Qwen-Image-Lightning LoRA support." + }, + { + "left": "pull_request:11660", + "right": "pull_request:12387", + "accept": false, + "reason": "HiDream LoRA conversion work is unrelated to FlashAttention kernel support." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12074", + "accept": false, + "reason": "Both are Wan-related, but one fixes recompilation behavior while the other adds LoRA loading for a second transformer." + }, + { + "left": "pull_request:9507", + "right": "pull_request:9988", + "accept": false, + "reason": "Both involve Flux, but one fixes ControlNet aggregation and the other is a broader Flux Redux feature set." + }, + { + "left": "pull_request:12897", + "right": "pull_request:12919", + "accept": false, + "reason": "Different NPU improvements: position embeddings vs attention backend support." + }, + { + "left": "pull_request:1", + "right": "pull_request:7", + "accept": false, + "reason": "Early repo bootstrap PRs for different model components; not duplicates." + }, + { + "left": "pull_request:10005", + "right": "pull_request:11564", + "accept": false, + "reason": "Docs for missing Flux pipelines vs adding prodigy dependencies; unrelated changes." + }, + { + "left": "pull_request:10058", + "right": "pull_request:8412", + "accept": false, + "reason": "Different documentation fixes with no shared underlying issue." + }, + { + "left": "pull_request:10069", + "right": "pull_request:10970", + "accept": false, + "reason": "BnB quantizer device handling fix is unrelated to a GitHub Actions workflow change." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8425", + "accept": false, + "reason": "Stable Diffusion 3 guidance-layer bug fix vs workflow name rename; unrelated." + }, + { + "left": "pull_request:101", + "right": "pull_request:428", + "accept": false, + "reason": "A large core bootstrap PR and a docs cleanup PR are not the same change." + }, + { + "left": "pull_request:10109", + "right": "pull_request:9286", + "accept": false, + "reason": "Stable Audio XLA support is unrelated to adding an exported symbol in __init__.py." + }, + { + "left": "pull_request:10114", + "right": "pull_request:10730", + "accept": false, + "reason": "Formatting-only cleanup vs hook unwrap bug fix; different changes." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11475", + "accept": false, + "reason": "Formatting-only cleanup vs Wan recompilation fix; unrelated." + }, + { + "left": "pull_request:10115", + "right": "pull_request:8497", + "accept": false, + "reason": "Flux positional embedding bug fix vs a spelling correction; no overlap in bug/change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:10245", + "accept": false, + "reason": "Both docs mention adapters, but one documents load_lora_adapter and the other delete_adapters; different APIs." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8774", + "accept": false, + "reason": "Deprecating save_attn_procs is not the same as introducing LoraBaseMixin; one is API cleanup, the other a refactor." + }, + { + "left": "pull_request:10140", + "right": "pull_request:9769", + "accept": false, + "reason": "ConsisID and Mochi are entirely different model releases." + }, + { + "left": "pull_request:10148", + "right": "pull_request:9893", + "accept": false, + "reason": "OmniGen feature addition is unrelated to an SDXL ControlNet 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copy-comment cleanup are unrelated." + }, + { + "left": "pull_request:12337", + "right": "pull_request:13146", + "accept": false, + "reason": "Flux attention enabling and tokenizer-type correction are unrelated." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12527", + "accept": false, + "reason": "Chroma docs updates and Kandinsky5 no-CFG code fix are unrelated." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12637", + "accept": false, + "reason": "Docs changes for Chroma and a copy cleanup in Sana Video are unrelated." + }, + { + "left": "pull_request:12360", + "right": "pull_request:13146", + "accept": false, + "reason": "Chroma docs and tokenizer type fix are 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": 265, + 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"pull_request:13100", + "pull_request:13146", + "pull_request:13150", + "pull_request:13158", + "pull_request:13164", + "pull_request:13174", + "pull_request:13259", + "pull_request:13275", + "pull_request:13331", + "pull_request:13344", + "pull_request:13443", + "pull_request:1907", + "pull_request:2529", + "pull_request:2631", + "pull_request:427", + "pull_request:483" + ], + "soft_pairs": [ + "pull_request:12398|pull_request:13331", + "pull_request:1240|pull_request:2631", + "pull_request:1240|pull_request:427", + "pull_request:12434|pull_request:12467", + "pull_request:12434|pull_request:12487", + "pull_request:12434|pull_request:12552", + "pull_request:12491|pull_request:13164", + "pull_request:12527|pull_request:12883", + "pull_request:12541|pull_request:13055", + "pull_request:12560|pull_request:12628", + "pull_request:12560|pull_request:12932", + "pull_request:12578|pull_request:13100", + "pull_request:12628|pull_request:12846", + "pull_request:12628|pull_request:12848", + "pull_request:12628|pull_request:12932", + "pull_request:12628|pull_request:13259", + "pull_request:12637|pull_request:13038", + "pull_request:12637|pull_request:13443", + "pull_request:12675|pull_request:13158", + "pull_request:12686|pull_request:13344", + "pull_request:12687|pull_request:13275", + "pull_request:12705|pull_request:13038", + "pull_request:12705|pull_request:13443", + "pull_request:12782|pull_request:13150", + "pull_request:12846|pull_request:12848", + "pull_request:12846|pull_request:12984", + "pull_request:12846|pull_request:13259", + "pull_request:12848|pull_request:12984", + "pull_request:12848|pull_request:13259", + "pull_request:12868|pull_request:13174", + "pull_request:1291|pull_request:2529", + "pull_request:1292|pull_request:1907", + "pull_request:12984|pull_request:13259", + "pull_request:1299|pull_request:483", + "pull_request:12998|pull_request:13081", + "pull_request:13038|pull_request:13146", + "pull_request:13039|pull_request:13150" + ], + "prepared_review_unit_hash": "75cb5523d9c358430e2d18342095200a606102f631e37494a0c487dca584f008", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 37, + "serialized_chars": 107282, + "estimated_input_tokens": 26821, + "estimated_eval_tokens": 53898 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs fixes, CI/workflow changes, modular pipeline refactors, and model/pipeline bug fixes across different subsystems. None of the soft-edge PR pairs look like the same concrete change or fix, so I reject all of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear canonical representative: the items span unrelated pipelines, docs, CI, tests, and model internals rather than one underlying bug or feature.", + "best_issue_reason": null, + "best_pr_reason": "No PR in this set is broadly suitable as a global canonical PR because the cluster is not centered on one change; the edits are too diverse and do not collapse into a single mergeable fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12398", + "right": "pull_request:13331", + "accept": false, + "reason": "Different features: Mirage pipeline integration vs CogVideoX fun inpaint pipeline; unrelated code paths." + }, + { + "left": "pull_request:1240", + "right": "pull_request:2631", + "accept": false, + "reason": "Both touch training/inference infrastructure, but one is OneFlow image-to-image support and the other is main-process checkpointing; not the same fix." + }, + { + "left": "pull_request:1240", + "right": "pull_request:427", + "accept": false, + "reason": "OneFlow pipeline port vs Stable Diffusion img2img test tweaks; unrelated scope." + }, + { + "left": "pull_request:12434", + "right": "pull_request:12467", + "accept": false, + "reason": "Different bugs: text-to-image PEFT requirement update vs QwenImage batch/image processor handling." + }, + { + "left": "pull_request:12434", + "right": "pull_request:12487", + "accept": false, + "reason": "PEFT version pinning is unrelated to docs link cleanup." + }, + { + "left": "pull_request:12434", + "right": "pull_request:12552", + "accept": false, + "reason": "Training dependency pin vs Kandinsky5 doc typo fixes; not the same change." + }, + { + "left": "pull_request:12491", + "right": "pull_request:13164", + "accept": false, + "reason": "Docs link checker workflow is unrelated to CI dependency trimming." + }, + { + "left": "pull_request:12527", + "right": "pull_request:12883", + "accept": false, + "reason": "Kandinsky5 CFG fix vs torchao quantization typo fix; different pipelines and bugs." + }, + { + "left": "pull_request:12541", + "right": "pull_request:13055", + "accept": false, + "reason": "Different Wan issues: LoRA conversion support vs missing-transformer patchification fallback." + }, + { + "left": "pull_request:12560", + "right": "pull_request:12628", + "accept": false, + "reason": "Both modular-pipeline related, but one is block naming/description cleanup and the other adds a block-count validation check; not the same underlying bug." + }, + { + "left": "pull_request:12560", + "right": "pull_request:12932", + "accept": false, + "reason": "General modular-pipeline naming cleanup vs QwenImage modular docstring/output metadata work." + }, + { + "left": "pull_request:12578", + "right": "pull_request:13100", + "accept": false, + "reason": "Early error handling in auto CPU offload is unrelated to modular pipeline documentation updates." + }, + { + "left": "pull_request:12628", + "right": "pull_request:12846", + "accept": false, + "reason": "Modular pipeline block validation vs auto-pipeline registration for text2video; separate concerns." + }, + { + "left": "pull_request:12628", + "right": "pull_request:12848", + "accept": false, + "reason": "Block-count validation vs adding ChromaInpaintPipeline; unrelated code paths." + }, + { + "left": "pull_request:12628", + "right": "pull_request:12932", + "accept": false, + "reason": "Validation check for modular block configuration vs QwenImage docstring/output changes." + }, + { + "left": "pull_request:12628", + "right": "pull_request:13259", + "accept": false, + "reason": "Modular pipeline validation vs AGENTS.md/process docs; unrelated." + }, + { + "left": "pull_request:12637", + "right": "pull_request:13038", + "accept": false, + "reason": "Sana video copy-fix cleanup vs Wan patchification logic fix; different models and bugs." + }, + { + "left": "pull_request:12637", + "right": "pull_request:13443", + "accept": false, + "reason": "Different transformer maintenance issues: Sana Video copy comment removal vs Flash Attention backend version check." + }, + { + "left": "pull_request:12675", + "right": "pull_request:13158", + "accept": false, + "reason": "Sana Video docs typo fix vs QwenImage docs addition; unrelated documentation changes." + }, + { + "left": "pull_request:12686", + "right": "pull_request:13344", + "accept": false, + "reason": "Kandinsky5 image pipeline addition vs GLM Image transformer test/model setup; different features." + }, + { + "left": "pull_request:12687", + "right": "pull_request:13275", + "accept": false, + "reason": "Autoencoder typo fix vs Hunyuan test kwargs fix; unrelated." + }, + { + "left": "pull_request:12705", + "right": "pull_request:13038", + "accept": false, + "reason": "Generic typo/docs cleanup vs Wan patchification bug fix; not the same underlying change." + }, + { + "left": "pull_request:12705", + "right": "pull_request:13443", + "accept": false, + "reason": "Typos/docs cleanup vs attention backend requirement fix; unrelated." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13150", + "accept": false, + "reason": "Hunyuan offloading test adjustment vs compile test recompile_limit plumbing; different test infra." + }, + { + "left": "pull_request:12846", + "right": "pull_request:12848", + "accept": false, + "reason": "Adding AutoPipelineForText2Video vs adding ChromaInpaintPipeline; separate pipeline registrations." + }, + { + "left": "pull_request:12846", + "right": "pull_request:12984", + "accept": false, + "reason": "AutoPipeline registration vs Flux2Klein docs/pipeline addition; unrelated pipeline changes." + }, + { + "left": "pull_request:12846", + "right": "pull_request:13259", + "accept": false, + "reason": "AutoPipeline feature addition vs AGENTS/process docs; unrelated." + }, + { + "left": "pull_request:12848", + "right": "pull_request:12984", + "accept": false, + "reason": "Chroma inpainting pipeline vs Flux2Klein docs/pipeline; different models and code paths." + }, + { + "left": "pull_request:12848", + "right": "pull_request:13259", + "accept": false, + "reason": "New pipeline implementation vs repository agent guidance docs; unrelated." + }, + { + "left": "pull_request:12868", + "right": "pull_request:13174", + "accept": false, + "reason": "QwenImage split-attention refactor vs attention backend test additions; not the same concrete fix." + }, + { + "left": "pull_request:1291", + "right": "pull_request:2529", + "accept": false, + "reason": "Stable Diffusion notebook link correction vs checkpoint conversion error fix; unrelated documentation vs code bug." + }, + { + "left": "pull_request:1292", + "right": "pull_request:1907", + "accept": false, + "reason": "Reverting OneFlow changes is unrelated to Dockerfile/environment setup work." + }, + { + "left": "pull_request:12984", + "right": "pull_request:13259", + "accept": false, + "reason": "Flux2Klein docs/pipeline addition vs AGENTS.md guidance docs; not the same change." + }, + { + "left": "pull_request:1299", + "right": "pull_request:483", + "accept": false, + "reason": "AltDiffusion integration vs typo/typos-check maintenance; unrelated scope." + }, + { + "left": "pull_request:12998", + "right": "pull_request:13081", + "accept": false, + "reason": "Docs style cleanup across multiple pipelines vs Qwen hidden-state contiguity fix; different issue classes." + }, + { + "left": "pull_request:13038", + "right": "pull_request:13146", + "accept": false, + "reason": "Wan patchification fix vs tokenizer type cleanup in PAG HunyuanDiT; unrelated." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13150", + "accept": false, + "reason": "Wan Animate upcasting fix vs compile test parameterization; different code paths 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": 265, + "review_unit_index": 219, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:13100", + "pull_request:1311", + "pull_request:13146", + "pull_request:13204", + "pull_request:1322", + "pull_request:1325", + "pull_request:13259", + "pull_request:13269", + "pull_request:1327", + "pull_request:1330", + "pull_request:13340", + "pull_request:1338", + "pull_request:1341", + "pull_request:13436", + "pull_request:13443", + "pull_request:1352", + "pull_request:1360", + "pull_request:1373", + "pull_request:1374", + "pull_request:1382", + "pull_request:1386", + "pull_request:1406", + "pull_request:15", + "pull_request:1624", + "pull_request:17", + "pull_request:1939", + "pull_request:21", + "pull_request:227", + "pull_request:2516", + "pull_request:2530", + "pull_request:2540", + "pull_request:2667", + "pull_request:27", + "pull_request:286", + "pull_request:2958", + "pull_request:299", + "pull_request:3397", + "pull_request:43", + "pull_request:432", + "pull_request:51", + "pull_request:62", + "pull_request:662", + "pull_request:7", + "pull_request:718", + "pull_request:774", + "pull_request:800", + "pull_request:842" + ], + "soft_pairs": [ + "pull_request:13100|pull_request:13204", + "pull_request:1311|pull_request:2530", + "pull_request:13146|pull_request:13443", + "pull_request:1322|pull_request:1330", + "pull_request:1322|pull_request:1624", + "pull_request:1322|pull_request:1939", + "pull_request:1322|pull_request:2540", + "pull_request:1322|pull_request:432", + "pull_request:1325|pull_request:1382", + "pull_request:1325|pull_request:15", + "pull_request:1325|pull_request:17", + "pull_request:1325|pull_request:27", + "pull_request:1325|pull_request:62", + "pull_request:13259|pull_request:13269", + "pull_request:1327|pull_request:3397", + "pull_request:1330|pull_request:1624", + "pull_request:1330|pull_request:2667", + "pull_request:1330|pull_request:2958", + "pull_request:1330|pull_request:432", + "pull_request:13340|pull_request:13436", + "pull_request:1338|pull_request:51", + "pull_request:1341|pull_request:7", + "pull_request:1352|pull_request:1406", + "pull_request:1352|pull_request:21", + "pull_request:1352|pull_request:842", + "pull_request:1360|pull_request:2516", + "pull_request:1373|pull_request:299", + "pull_request:1373|pull_request:800", + "pull_request:1374|pull_request:43", + "pull_request:1382|pull_request:286", + "pull_request:1382|pull_request:662", + "pull_request:1382|pull_request:718", + "pull_request:1382|pull_request:774", + "pull_request:1386|pull_request:227" + ], + "prepared_review_unit_hash": "14df0ea9f52b0919de3699afb888d05689bf312d6506159b75bd62a0266dc26e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 102262, + "estimated_input_tokens": 25566, + "estimated_eval_tokens": 51388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, dependency, test, scheduler, and pipeline PRs. I found no soft pair that clearly resolves to the same underlying bug or change, so no duplicates were accepted.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate set here; the items span many unrelated fixes and features.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global canonical choice because there is no consistent shared defect/change across the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13100", + "right": "pull_request:13204", + "accept": false, + "reason": "Same file, but one is docs/state handling and the other is trust_remote_code behavior; different bugs." + }, + { + "left": "pull_request:1311", + "right": "pull_request:2530", + "accept": false, + "reason": "AltDiffusion test additions vs EMAModel tests; unrelated changes." + }, + { + "left": "pull_request:13146", + "right": "pull_request:13443", + "accept": false, + "reason": "Tokenizer fix in a pipeline vs kernels backend version check; unrelated." + }, + { + "left": "pull_request:1322", + "right": "pull_request:1330", + "accept": false, + "reason": "Both mention scheduler paths, but 1330 also changes inpaint scaling; not the same concrete change." + }, + { + "left": "pull_request:1322", + "right": "pull_request:1624", + "accept": false, + "reason": "Example scheduler path fix vs DPM timestep logic; different issues." + }, + { + "left": "pull_request:1322", + "right": "pull_request:1939", + "accept": false, + "reason": "Example scheduler path fix vs README image path fix; unrelated." + }, + { + "left": "pull_request:1322", + "right": "pull_request:2540", + "accept": false, + "reason": "Example scheduler path fix vs docs section wording; unrelated." + }, + { + "left": "pull_request:1322", + "right": "pull_request:432", + "accept": false, + "reason": "Example scheduler path fix vs documentation link updates; unrelated." + }, + { + "left": "pull_request:1325", + "right": "pull_request:1382", + "accept": false, + "reason": "OneFlow support stack vs import-guard cleanup; unrelated." + }, + { + "left": "pull_request:1325", + "right": "pull_request:15", + "accept": false, + "reason": "OneFlow pipeline work vs README output path typo; unrelated." + }, + { + "left": "pull_request:1325", + "right": "pull_request:17", + "accept": false, + "reason": "OneFlow pipeline work vs typo-only docs fix; unrelated." + }, + { + "left": "pull_request:1325", + "right": "pull_request:27", + "accept": false, + "reason": "OneFlow pipeline work vs checklist formatting; unrelated." + }, + { + "left": "pull_request:1325", + "right": "pull_request:62", + "accept": false, + "reason": "OneFlow pipeline work vs latent diffusion uncond fix; unrelated." + }, + { + "left": "pull_request:13259", + "right": "pull_request:13269", + "accept": false, + "reason": "13269 extends the agent guide with skills; it is not the same change as the initial AGENTS.md addition." + }, + { + "left": "pull_request:1327", + "right": "pull_request:3397", + "accept": false, + "reason": "Custom local pipeline loading vs LoRA local-path documentation; different topics." + }, + { + "left": "pull_request:1330", + "right": "pull_request:1624", + "accept": false, + "reason": "Inpaint/example scheduler path fix vs DPM timestep correction; unrelated." + }, + { + "left": "pull_request:1330", + "right": "pull_request:2667", + "accept": false, + "reason": "Inpaint scaling/strength work vs scheduler path correction in training scripts; overlapping file but different change." + }, + { + "left": "pull_request:1330", + "right": "pull_request:2958", + "accept": false, + "reason": "Inpaint example fix vs ControlNet inpaint addition; different pipeline features." + }, + { + "left": "pull_request:1330", + "right": "pull_request:432", + "accept": false, + "reason": "Inpaint-related fix vs docs link corrections; unrelated." + }, + { + "left": "pull_request:13340", + "right": "pull_request:13436", + "accept": false, + "reason": "SD3 transformer test refactor vs README test comment; unrelated." + }, + { + "left": "pull_request:1338", + "right": "pull_request:51", + "accept": false, + "reason": "ONNX inpaint cast-order fix vs install_requires typo; unrelated." + }, + { + "left": "pull_request:1341", + "right": "pull_request:7", + "accept": false, + "reason": "Repaint pipeline addition vs VQ-VAE model introduction; unrelated." + }, + { + "left": "pull_request:1352", + "right": "pull_request:1406", + "accept": false, + "reason": "AltDiffusion sample checkpoint docs vs sample-size deprecation; unrelated." + }, + { + "left": "pull_request:1352", + "right": "pull_request:21", + "accept": false, + "reason": "AltDiffusion sample checkpoint docs vs model test additions; unrelated." + }, + { + "left": "pull_request:1352", + "right": "pull_request:842", + "accept": false, + "reason": "AltDiffusion docs sample update vs pipeline output API cleanup; unrelated." + }, + { + "left": "pull_request:1360", + "right": "pull_request:2516", + "accept": false, + "reason": "Community pipelines README update vs diffusion evaluation docs page; unrelated." + }, + { + "left": "pull_request:1373", + "right": "pull_request:299", + "accept": false, + "reason": "Versatile Diffusion addition vs PNDM hotfix; unrelated." + }, + { + "left": "pull_request:1373", + "right": "pull_request:800", + "accept": false, + "reason": "Versatile Diffusion addition vs VQ-Diffusion work; different subsystems and changes." + }, + { + "left": "pull_request:1374", + "right": "pull_request:43", + "accept": false, + "reason": "AI template/example content vs model card template changes; unrelated." + }, + { + "left": "pull_request:1382", + "right": "pull_request:286", + "accept": false, + "reason": "Import/dependency fix vs stable-diffusion README link fix; unrelated." + }, + { + "left": "pull_request:1382", + "right": "pull_request:662", + "accept": false, + "reason": "Import/dependency fix vs 6GB textual inversion changes; unrelated." + }, + { + "left": "pull_request:1382", + "right": "pull_request:718", + "accept": false, + "reason": "Import/dependency fix vs typo/doc fixes; unrelated." + }, + { + "left": "pull_request:1382", + "right": "pull_request:774", + "accept": false, + "reason": "Import/dependency fix vs test assertion tweaks; unrelated." + }, + { + "left": "pull_request:1386", + "right": "pull_request:227", + "accept": false, + "reason": "v-prediction scheduler support vs add_noise helpers in other schedulers; different capabilities." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 220, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1402", + "pull_request:1406", + "pull_request:1412", + "pull_request:1424", + "pull_request:1425", + "pull_request:1470", + "pull_request:1487", + "pull_request:1489", + "pull_request:15", + "pull_request:1510", + "pull_request:1520", + "pull_request:1525", + "pull_request:153", + "pull_request:154", + "pull_request:1547", + "pull_request:1548", + "pull_request:1558", + "pull_request:1564", + "pull_request:1582", + "pull_request:159", + "pull_request:1605", + "pull_request:1610", + "pull_request:1623", + "pull_request:1756", + "pull_request:1788", + "pull_request:1903", + "pull_request:1971", + "pull_request:2122", + "pull_request:2130", + "pull_request:2188", + "pull_request:2496", + "pull_request:286", + "pull_request:289", + "pull_request:3080", + "pull_request:3230", + "pull_request:34", + "pull_request:3608", + "pull_request:3653", + "pull_request:396", + "pull_request:408", + "pull_request:423", + "pull_request:433", + "pull_request:570", + "pull_request:662", + "pull_request:718", + "pull_request:768", + "pull_request:839", + "pull_request:842" + ], + "soft_pairs": [ + "pull_request:1402|pull_request:1425", + "pull_request:1406|pull_request:842", + "pull_request:1412|pull_request:3230", + "pull_request:1424|pull_request:1903", + "pull_request:1424|pull_request:396", + "pull_request:1424|pull_request:408", + "pull_request:1425|pull_request:159", + "pull_request:1425|pull_request:718", + "pull_request:1470|pull_request:3080", + "pull_request:1487|pull_request:1756", + "pull_request:1489|pull_request:2130", + "pull_request:1489|pull_request:2188", + "pull_request:1489|pull_request:2496", + "pull_request:1489|pull_request:289", + "pull_request:1489|pull_request:34", + "pull_request:1489|pull_request:839", + "pull_request:1489|pull_request:842", + "pull_request:15|pull_request:286", + "pull_request:15|pull_request:662", + "pull_request:15|pull_request:718", + "pull_request:1510|pull_request:1610", + "pull_request:1510|pull_request:423", + "pull_request:1520|pull_request:3608", + "pull_request:1525|pull_request:570", + "pull_request:153|pull_request:1788", + "pull_request:154|pull_request:1605", + "pull_request:1547|pull_request:768", + "pull_request:1548|pull_request:1971", + "pull_request:1548|pull_request:433", + "pull_request:1558|pull_request:3653", + "pull_request:1564|pull_request:2122", + "pull_request:1582|pull_request:1623" + ], + "prepared_review_unit_hash": "7b232b6ae26ad290995dcc77e96e5160a1158414d24b9c3a011e35963b92a598", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 102777, + "estimated_input_tokens": 25695, + "estimated_eval_tokens": 51646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "A heterogeneous cluster of mostly small docs/typo/cleanup PRs plus a few unrelated bugfixes and feature changes. 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different changes." + }, + { + "left": "pull_request:1520", + "right": "pull_request:3608", + "accept": false, + "reason": "Imagic example fix vs training-script typo fix; distinct examples and fixes." + }, + { + "left": "pull_request:1525", + "right": "pull_request:570", + "accept": false, + "reason": "Upscaling batch-shape bugfix vs BaseOutput dict initialization change; unrelated." + }, + { + "left": "pull_request:153", + "right": "pull_request:1788", + "accept": false, + "reason": "Issue templates vs DDIM scheduler bugfix; no common code-path." + }, + { + "left": "pull_request:154", + "right": "pull_request:1605", + "accept": false, + "reason": "Stable diffusion conversion script vs versatile diffusion upcast_attention; unrelated." + }, + { + "left": "pull_request:1547", + "right": "pull_request:768", + "accept": false, + "reason": "Both touch DreamBooth, but one is a specific collate/data-loading refactor and the other is a broad enhancement; not the same fix." + }, + { + "left": "pull_request:1548", + "right": "pull_request:1971", + "accept": false, + "reason": "Bug-report template text vs PNDM docstring cleanup; unrelated." + }, + { + "left": "pull_request:1548", + "right": "pull_request:433", + "accept": false, + "reason": "Issue template wording vs Black version upgrade; unrelated." + }, + { + "left": "pull_request:1558", + "right": "pull_request:3653", + "accept": false, + "reason": "Separate lint/typo cleanups in different files; not the same underlying change." + }, + { + "left": "pull_request:1564", + "right": "pull_request:2122", + "accept": false, + "reason": "DreamBooth accelerate config docs vs safetensors docs; different documentation topics." + }, + { + "left": "pull_request:1582", + "right": "pull_request:1623", + "accept": false, + "reason": "RePaint scheduler bugfix vs requirements update; completely 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": 265, + "review_unit_index": 221, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1583", + "pull_request:159", + "pull_request:1591", + "pull_request:1601", + "pull_request:1610", + "pull_request:1623", + "pull_request:1624", + "pull_request:1627", + "pull_request:17", + "pull_request:1706", + "pull_request:171", + "pull_request:1713", + "pull_request:1756", + "pull_request:1761", + "pull_request:1763", + "pull_request:1765", + "pull_request:1827", + "pull_request:1849", + "pull_request:1861", + "pull_request:1868", + "pull_request:217", + "pull_request:2279", + "pull_request:2282", + "pull_request:2467", + "pull_request:2542", + "pull_request:258", + "pull_request:2691", + "pull_request:312", + "pull_request:3230", + "pull_request:3241", + "pull_request:3343", + "pull_request:3402", + "pull_request:3433", + "pull_request:35", + "pull_request:3653", + "pull_request:3712", + "pull_request:3723", + "pull_request:408", + "pull_request:423", + "pull_request:432", + "pull_request:433", + "pull_request:535", + "pull_request:568", + "pull_request:61", + "pull_request:63", + "pull_request:662", + "pull_request:75", + "pull_request:828" + ], + "soft_pairs": [ + "pull_request:1583|pull_request:1623", + "pull_request:159|pull_request:17", + "pull_request:159|pull_request:408", + "pull_request:159|pull_request:568", + "pull_request:1591|pull_request:3241", + "pull_request:1601|pull_request:535", + "pull_request:1610|pull_request:423", + "pull_request:1623|pull_request:2279", + "pull_request:1624|pull_request:3343", + "pull_request:1624|pull_request:35", + "pull_request:1624|pull_request:432", + "pull_request:1627|pull_request:3230", + "pull_request:17|pull_request:662", + "pull_request:1706|pull_request:3723", + "pull_request:171|pull_request:217", + "pull_request:1713|pull_request:61", + "pull_request:1713|pull_request:63", + "pull_request:1756|pull_request:1761", + "pull_request:1763|pull_request:2691", + "pull_request:1763|pull_request:3653", + "pull_request:1763|pull_request:3712", + "pull_request:1765|pull_request:2282", + "pull_request:1765|pull_request:2542", + "pull_request:1765|pull_request:828", + "pull_request:1827|pull_request:2467", + "pull_request:1849|pull_request:258", + "pull_request:1861|pull_request:433", + "pull_request:1868|pull_request:217", + "pull_request:1868|pull_request:312", + "pull_request:1868|pull_request:3343", + "pull_request:1868|pull_request:3402", + "pull_request:1868|pull_request:3433", + "pull_request:1868|pull_request:75" + ], + "prepared_review_unit_hash": "3fd4b5d8c2b01d89e05c0c564acef66d87d62cfc18689fb2f4f7e0ec61d059e3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 104017, + "estimated_input_tokens": 26005, + "estimated_eval_tokens": 52266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated docs, lint, scheduler, attention, and example fixes; 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Different changes and code paths." + }, + { + "left": "pull_request:159", + "right": "pull_request:17", + "accept": false, + "reason": "Both are typo cleanups, but they touch different README/docs text and are separate doc fixes, not the same change." + }, + { + "left": "pull_request:159", + "right": "pull_request:408", + "accept": false, + "reason": "159 is a small schedulers README typo fix; 408 is a broader docs typo pass across multiple docs files." + }, + { + "left": "pull_request:159", + "right": "pull_request:568", + "accept": false, + "reason": "159 only edits schedulers README; 568 fixes typos in pipeline/config/scheduler files. Not the same underlying change." + }, + { + "left": "pull_request:1591", + "right": "pull_request:3241", + "accept": false, + "reason": "1591 fixes slice-attention upcasting in model code; 3241 only loosens a UnCLIP test tolerance. Code fix vs test adjustment." + }, + { + "left": "pull_request:1601", + "right": "pull_request:535", + "accept": false, + "reason": "1601 fixes classifier-free guidance logic in diffusion pipelines; 535 changes resnet upsample weight flipping. Unrelated bugs." + }, + { + "left": "pull_request:1610", + "right": "pull_request:423", + "accept": false, + "reason": "1610 is about attention logging/tests; 423 is a broad pipeline output/docs syntax update. Different scopes and problems." + }, + { + "left": "pull_request:1623", + "right": "pull_request:2279", + "accept": false, + "reason": "1623 updates example dependency versions; 2279 replaces flake8/isort with ruff/black in CI and docs. Not the same change." + }, + { + "left": "pull_request:1624", + "right": "pull_request:3343", + "accept": false, + "reason": "Both concern DPM timesteps, but 1624 fixes multistep/flax timestep generation while 3343 corrects a config reference in singlestep. Different concrete bugs." + }, + { + "left": "pull_request:1624", + "right": "pull_request:35", + "accept": false, + "reason": "1624 is a scheduler timestep bugfix; 35 adds a new analytic DPM pipeline. Completely different changes." + }, + { + "left": "pull_request:1624", + "right": "pull_request:432", + "accept": false, + "reason": "1624 changes scheduler timestep math; 432 is a docs/link correction PR. Unrelated." + }, + { + "left": "pull_request:1627", + "right": "pull_request:3230", + "accept": false, + "reason": "1627 adds recursive xformers enablement to UNet; 3230 adds IF pipelines and docs. Different features, not duplicates." + }, + { + "left": "pull_request:17", + "right": "pull_request:662", + "accept": false, + "reason": "17 is a README typo fix; 662 is a new textual inversion example bundle for 6GB RAM. Same repo area, different work." + }, + { + "left": "pull_request:1706", + "right": "pull_request:3723", + "accept": false, + "reason": "1706 updates main docs pages; 3723 expands ControlNet reference-image example inputs. Different documentation/content changes." + }, + { + "left": "pull_request:171", + "right": "pull_request:217", + "accept": false, + "reason": "171 fixes eta handling in LDM pipelines; 217 fixes the safety checker NSFW flag computation. Different code paths." + }, + { + "left": "pull_request:1713", + "right": "pull_request:61", + "accept": false, + "reason": "1713 is cleanup in the stable diffusion converter script; 61 adds a latent diffusion unconditional converter. Different converter scripts and behavior." + }, + { + "left": "pull_request:1713", + "right": "pull_request:63", + "accept": false, + "reason": "1713 tweaks stable diffusion conversion code; 63 adds a BDDM conversion script. Not the same underlying change." + }, + { + "left": "pull_request:1756", + "right": "pull_request:1761", + "accept": false, + "reason": "1756 adds attention-mask support in uclip attention; 1761 adds CPU offloading to UnCLIP. Separate features." + }, + { + "left": "pull_request:1763", + "right": "pull_request:2691", + "accept": false, + "reason": "1763 fixes versatile attention-mask propagation; 2691 renames attention modules and migrates processor APIs. Same file area, but different change set and bug." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3653", + "accept": false, + "reason": "1763 is a model attention bugfix; 3653 is a community example linting cleanup. Unrelated." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3712", + "accept": false, + "reason": "1763 changes attention code; 3712 only updates workflow secret names. Not duplicates." + }, + { + "left": "pull_request:1765", + "right": "pull_request:2282", + "accept": false, + "reason": "1765 fixes DreamBooth Flax training arguments and pipeline wiring; 2282 is a miscellaneous cross-cutting cleanup PR. Not the same bug." + }, + { + "left": "pull_request:1765", + "right": "pull_request:2542", + "accept": false, + "reason": "1765 is a training/example fix; 2542 only updates ControlNet docs links. Different scopes." + }, + { + "left": "pull_request:1765", + "right": "pull_request:828", + "accept": false, + "reason": "1765 patches DreamBooth Flax code; 828 is a Flax test expansion/update. Code fix vs tests." + }, + { + "left": "pull_request:1827", + "right": "pull_request:2467", + "accept": false, + "reason": "1827 adds add_noise to SDE-VE scheduler; 2467 adds latent output types to pipelines. Unrelated scheduler vs pipeline feature work." + }, + { + "left": "pull_request:1849", + "right": "pull_request:258", + "accept": false, + "reason": "1849 passes cross_attention_kwargs through versatile diffusion; 258 only refactors inpainting script preprocessing. Different code paths." + }, + { + "left": "pull_request:1861", + "right": "pull_request:433", + "accept": false, + "reason": "1861 changes loss computation in training examples; 433 updates black versions and other package metadata. Not the same fix." + }, + { + "left": "pull_request:1868", + "right": "pull_request:217", + "accept": false, + "reason": "1868 fixes EMA decay in text-to-image training; 217 fixes safety checker logic. Different components and bugs." + }, + { + "left": "pull_request:1868", + "right": "pull_request:312", + "accept": false, + "reason": "1868 is a training optimizer/EMA fix; 312 is a README link correction. Unrelated." + }, + { + "left": "pull_request:1868", + "right": "pull_request:3343", + "accept": false, + "reason": "1868 changes EMA decay logic; 3343 fixes DPM solver config access. Different subsystems." + }, + { + "left": "pull_request:1868", + "right": "pull_request:3402", + "accept": false, + "reason": "1868 is training code; 3402 only repairs a Dockerfile command chain. Not duplicates." + }, + { + "left": "pull_request:1868", + "right": "pull_request:3433", + "accept": false, + "reason": "1868 affects EMA training behavior; 3433 is a docs/style rendering tweak. Different changes." + }, + { + "left": "pull_request:1868", + "right": "pull_request:75", + "accept": false, + "reason": "1868 fixes EMA decay math; 75 changes attention module overwrite selection. 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"left": "pull_request:2198", + "right": "pull_request:4214", + "accept": false, + "reason": "Missing-keys loading error handling vs custom diffusion bf16 fix; unrelated issues." + }, + { + "left": "pull_request:22", + "right": "pull_request:828", + "accept": false, + "reason": "Logger warning typo fix vs Flax test updates; different scopes and purposes." + }, + { + "left": "pull_request:2208", + "right": "pull_request:3262", + "accept": false, + "reason": "xFormers docs update vs IF model name rename across code/docs; not duplicate." + }, + { + "left": "pull_request:2208", + "right": "pull_request:3370", + "accept": false, + "reason": "xFormers docs vs PyTorch 2.0 optimization docs; both docs, but different content and change goals." + }, + { + "left": "pull_request:2227", + "right": "pull_request:4320", + "accept": false, + "reason": "Pipeline API typo cleanup vs ONNX docs typo cleanup; unrelated documentation/code changes." + }, + { + "left": "pull_request:2267", + "right": 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not the same change." + }, + { + "left": "pull_request:312", + "right": "pull_request:75", + "accept": false, + "reason": "README link fix vs attention-layer logic fix; completely different." + }, + { + "left": "pull_request:3126", + "right": "pull_request:4034", + "accept": false, + "reason": "Multi-GPU example verification vs LoRA unloading utility; different features and code paths." + }, + { + "left": "pull_request:3166", + "right": "pull_request:3326", + "accept": false, + "reason": "Textual inversion docs example tweak vs a new inpainting adaptation guide; related topic but not the same artifact or bug." + }, + { + "left": "pull_request:3187", + "right": "pull_request:3230", + "accept": false, + "reason": "Both involve stable-diffusion upscale/IF offload-related code, but one adds model offload to x4 upscaler while the other adds the IF pipeline family; not mergeable as one fix." + }, + { + "left": "pull_request:3230", + "right": "pull_request:3894", + "accept": false, + "reason": "IF pipeline addition vs Flax UNet dropout; unrelated." + }, + { + "left": "pull_request:3230", + "right": "pull_request:4172", + "accept": false, + "reason": "IF pipeline addition vs FlaxModelMixin type-casting support; unrelated." + }, + { + "left": "pull_request:3230", + "right": "pull_request:5239", + "accept": false, + "reason": "IF pipeline addition vs AutoencoderKL encode docstring; unrelated." + }, + { + "left": "pull_request:3230", + "right": "pull_request:5242", + "accept": false, + "reason": "IF pipeline addition vs AutoencoderKL decode docstring; unrelated." + }, + { + "left": "pull_request:325", + "right": "pull_request:344", + "accept": false, + "reason": "Type hints for Score SDE VE vs VAE models; same style of work but different classes and APIs." + }, + { + "left": "pull_request:3252", + "right": "pull_request:3471", + "accept": false, + "reason": "Stateful offload docs vs a DreamBooth torch.compile note; different documentation topics." + }, + { + "left": "pull_request:3252", + "right": "pull_request:3806", + "accept": false, + "reason": "Model offloading notes vs checkpoint-loading guidance; unrelated docs." + }, + { + "left": "pull_request:327", + "right": "pull_request:826", + "accept": false, + "reason": "PNDM type hints vs DreamBooth loss casting fix; unrelated code paths." + }, + { + "left": "pull_request:3294", + "right": "pull_request:5506", + "accept": false, + "reason": "LoRA prefix loader implementation vs xformers/PEFT LoRA error fix; same subsystem but different concrete bugs." + }, + { + "left": "pull_request:3318", + "right": "pull_request:4746", + "accept": false, + "reason": "Draft IF textual inversion work vs SDXL inpainting draft; different feature work." + }, + { + "left": "pull_request:3326", + "right": "pull_request:3331", + "accept": false, + "reason": "New training guide vs an inpainting docs typo fix; not the same change." + }, + { + "left": "pull_request:3334", + "right": "pull_request:4215", + "accept": false, + "reason": "Pipeline docstring cleanup vs controlled-generation docs path cleanup; unrelated docs edits." + }, + { + "left": "pull_request:3337", + "right": "pull_request:4690", + "accept": false, + "reason": "Postprocessing refactor across pipelines vs DPMSolverMultistepScheduler refactor; different code paths and change goals." + }, + { + "left": "pull_request:3341", + "right": "pull_request:3433", + "accept": false, + "reason": "Dependency/style cleanup with IF files vs generic docs rendering fixes; unrelated." + }, + { + "left": "pull_request:3345", + "right": "pull_request:3524", + "accept": false, + "reason": "README pipeline-class fix vs broad README rewrite; different scope and intent." + }, + { + "left": "pull_request:3345", + "right": "pull_request:5622", + "accept": false, + "reason": "README pipeline-class fix vs a large examples/optim script change; unrelated." + }, + { + "left": "pull_request:3359", + "right": "pull_request:3866", + "accept": false, + "reason": "Safety checker disabled in LoRA training vs adding LoRA rank args; both touch the same script but address different behaviors and are not the same fix." + }, + { + "left": "pull_request:3388", + "right": "pull_request:5478", + "accept": false, + "reason": "Install docs update for transformers vs Japanese docs rollout; 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": 265, + "review_unit_index": 227, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:345", + "pull_request:3471", + "pull_request:3472", + "pull_request:352", + "pull_request:3524", + "pull_request:3541", + "pull_request:3547", + "pull_request:3563", + "pull_request:3572", + "pull_request:3577", + "pull_request:3587", + "pull_request:3607", + "pull_request:3614", + "pull_request:3625", + "pull_request:3657", + "pull_request:3676", + "pull_request:3709", + "pull_request:3727", + "pull_request:3766", + "pull_request:38", + "pull_request:3806", + "pull_request:382", + "pull_request:3850", + "pull_request:388", + "pull_request:390", + "pull_request:391", + "pull_request:3924", + "pull_request:3979", + "pull_request:401", + "pull_request:4081", + "pull_request:4196", + "pull_request:4343", + "pull_request:4352", + "pull_request:4547", + "pull_request:4607", + "pull_request:4807", + "pull_request:5024", + "pull_request:5312", + "pull_request:5396", + "pull_request:5470", + "pull_request:5526", + "pull_request:5698", + "pull_request:5729", + "pull_request:5853", + "pull_request:7", + "pull_request:75", + "pull_request:819" + ], + "soft_pairs": [ + "pull_request:345|pull_request:819", + "pull_request:3471|pull_request:5312", + "pull_request:3472|pull_request:4343", + "pull_request:352|pull_request:7", + "pull_request:3524|pull_request:4081", + "pull_request:3541|pull_request:3979", + "pull_request:3547|pull_request:4607", + "pull_request:3563|pull_request:5698", + "pull_request:3572|pull_request:4196", + "pull_request:3577|pull_request:5729", + "pull_request:3587|pull_request:4352", + "pull_request:3607|pull_request:3924", + "pull_request:3607|pull_request:5396", + "pull_request:3614|pull_request:5526", + "pull_request:3625|pull_request:4547", + "pull_request:3625|pull_request:4807", + "pull_request:3657|pull_request:5470", + "pull_request:3676|pull_request:4547", + "pull_request:3676|pull_request:4807", + "pull_request:3709|pull_request:4807", + "pull_request:3727|pull_request:4547", + "pull_request:3766|pull_request:4352", + "pull_request:38|pull_request:75", + "pull_request:3806|pull_request:5024", + "pull_request:382|pull_request:390", + "pull_request:3850|pull_request:5853", + "pull_request:388|pull_request:391", + "pull_request:388|pull_request:401" + ], + "prepared_review_unit_hash": "09dad6231e72dcf1c7115cc7541e9fb178bd191ba8cc323591e9e25979df979b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 95619, + "estimated_input_tokens": 23905, + "estimated_eval_tokens": 48066 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most pairs are unrelated docs, training-script, scheduler, or utility changes. I do not see a real duplicate set here; the soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the items span unrelated subsystems and change types, so there is no single underlying fix/change to dedupe around.", + "best_issue_reason": null, + "best_pr_reason": "PR 5312 is the strongest standalone representative: it has an explicit issue link and a broader, concrete model/API/docs change, but it still does not match the rest of the cluster closely.", + "soft_edge_verdicts": [ + { + "left": "pull_request:345", + "right": "pull_request:819", + "accept": false, + "reason": "Type-hint cleanup for DDIM pipelines vs a Windows int64 timestep bug fix; different problems and code paths." + }, + { + "left": "pull_request:3471", + "right": "pull_request:5312", + "accept": false, + "reason": "Dreambooth README note vs model typehints/docs; both docs-related but unrelated changes." + }, + { + "left": "pull_request:3472", + "right": "pull_request:4343", + "accept": false, + "reason": "Dreambooth IF training docs vs adding a LoRA rank argument; different scope and purpose." + }, + { + "left": "pull_request:352", + "right": "pull_request:7", + "accept": false, + "reason": "Env command/bug template wiring vs initial VQ-VAE model addition; unrelated changes." + }, + { + "left": "pull_request:3524", + "right": "pull_request:4081", + "accept": false, + "reason": "Both touch README, but one is a general README rewrite and the other only adds Kandinsky to a table." + }, + { + "left": "pull_request:3541", + "right": "pull_request:3979", + "accept": false, + "reason": "Dreambooth attention-mask test fix vs SDXL attention processor bug; unrelated code paths." + }, + { + "left": "pull_request:3547", + "right": "pull_request:4607", + "accept": false, + "reason": "Bibtex references vs docs for PushToHubMixin; both docs, but not the same change." + }, + { + "left": "pull_request:3563", + "right": "pull_request:5698", + "accept": false, + "reason": "VQ pipeline config fix vs LCM img2img fix; different pipelines and bugs." + }, + { + "left": "pull_request:3572", + "right": "pull_request:4196", + "accept": false, + "reason": "ControlNet inpaint docs correction vs broader SDXL docs improvement; overlapping area but not the same concrete change." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5729", + "accept": false, + "reason": "Broken README links vs build/setup version updates; unrelated." + }, + { + "left": "pull_request:3587", + "right": "pull_request:4352", + "accept": false, + "reason": "Community example addition vs Kandinsky combined pipeline fixes; different functionality." + }, + { + "left": "pull_request:3607", + "right": "pull_request:3924", + "accept": false, + "reason": "Temb attention fix vs doc-code parameter update; unrelated." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5396", + "accept": false, + "reason": "Attention bug fix vs timezone-aware stale-bot script fix; unrelated." + }, + { + "left": "pull_request:3614", + "right": "pull_request:5526", + "accept": false, + "reason": "Test cleanup vs scheduler step logic fix; unrelated." + }, + { + "left": "pull_request:3625", + "right": "pull_request:4547", + "accept": false, + "reason": "Doc-builder workflow test vs Flax Euler scheduler work; unrelated." + }, + { + "left": "pull_request:3625", + "right": "pull_request:4807", + "accept": false, + "reason": "Doc-builder workflow test vs Chinese docs addition; unrelated." + }, + { + "left": "pull_request:3657", + "right": "pull_request:5470", + "accept": false, + "reason": "ControlNet checkpoint conversion parsing vs ControlNet inpaint pipeline/docs fixes; different issues." + }, + { + "left": "pull_request:3676", + "right": "pull_request:4547", + "accept": false, + "reason": "Doc-builder testing doc vs Flax Euler scheduler implementation; unrelated." + }, + { + "left": "pull_request:3676", + "right": "pull_request:4807", + "accept": false, + "reason": "Doc-builder testing doc vs Chinese stable diffusion docs; unrelated." + }, + { + "left": "pull_request:3709", + "right": "pull_request:4807", + "accept": false, + "reason": "Image processor doc page vs Chinese stable diffusion doc; both docs, but different content." + }, + { + "left": "pull_request:3727", + "right": "pull_request:4547", + "accept": false, + "reason": "IF dreambooth finetune work vs Flax Euler scheduler work; unrelated." + }, + { + "left": "pull_request:3766", + "right": "pull_request:4352", + "accept": false, + "reason": "Kandinsky conversion script vs Kandinsky combined pipeline fixes; same broad project, but distinct concrete changes." + }, + { + "left": "pull_request:38", + "right": "pull_request:75", + "accept": false, + "reason": "Both touch attention code, but PR 38 is a broad unification refactor while PR 75 is a specific Glide attention bug fix." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5024", + "accept": false, + "reason": "Checkpoint-loading README note vs scheduler step-index/noise-sampler fix; unrelated." + }, + { + "left": "pull_request:382", + "right": "pull_request:390", + "accept": false, + "reason": "DDPM docs vs Apple Silicon MPS docs; different topics." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5853", + "accept": false, + "reason": "Audio diffusion test fixes vs doctest infrastructure; different testing concerns and code paths." + }, + { + "left": "pull_request:388", + "right": "pull_request:391", + "accept": false, + "reason": "Latent diffusion docs vs PNDM docs; both pipeline docs, but for different pipelines." + }, + { + "left": "pull_request:388", + "right": "pull_request:401", + "accept": false, + "reason": "Latent diffusion docs vs Karras-VE docs; unrelated pipeline documentation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 228, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3928", + "pull_request:3931", + "pull_request:396", + "pull_request:397", + "pull_request:3971", + "pull_request:3972", + "pull_request:3979", + "pull_request:3985", + "pull_request:3989", + "pull_request:4", + "pull_request:4010", + "pull_request:4058", + "pull_request:408", + "pull_request:4082", + "pull_request:41", + "pull_request:4106", + "pull_request:4112", + "pull_request:4113", + "pull_request:415", + "pull_request:416", + "pull_request:418", + "pull_request:4187", + "pull_request:4196", + "pull_request:4237", + "pull_request:4238", + "pull_request:4276", + "pull_request:4396", + "pull_request:4690", + "pull_request:4748", + "pull_request:4807", + "pull_request:4850", + "pull_request:498", + "pull_request:4984", + "pull_request:508", + "pull_request:5097", + "pull_request:5456", + "pull_request:5602", + "pull_request:6002", + "pull_request:6075", + "pull_request:6150", + "pull_request:6198", + "pull_request:6322", + "pull_request:6337", + "pull_request:6410", + "pull_request:693", + "pull_request:75", + "pull_request:921" + ], + "soft_pairs": [ + "pull_request:3928|pull_request:4396", + "pull_request:3931|pull_request:4748", + "pull_request:396|pull_request:397", + "pull_request:396|pull_request:415", + "pull_request:396|pull_request:418", + "pull_request:396|pull_request:508", + "pull_request:397|pull_request:408", + "pull_request:397|pull_request:416", + "pull_request:397|pull_request:921", + "pull_request:3971|pull_request:4010", + "pull_request:3971|pull_request:4196", + "pull_request:3971|pull_request:4984", + "pull_request:3972|pull_request:4850", + "pull_request:3979|pull_request:6410", + "pull_request:3985|pull_request:4807", + "pull_request:3989|pull_request:5097", + "pull_request:3989|pull_request:6075", + "pull_request:3989|pull_request:6198", + "pull_request:4|pull_request:75", + "pull_request:4058|pull_request:4237", + "pull_request:4058|pull_request:4238", + "pull_request:4058|pull_request:5602", + "pull_request:408|pull_request:415", + "pull_request:408|pull_request:418", + "pull_request:4082|pull_request:6322", + "pull_request:4082|pull_request:6337", + "pull_request:41|pull_request:498", + "pull_request:41|pull_request:693", + "pull_request:41|pull_request:75", + "pull_request:4106|pull_request:4276", + "pull_request:4106|pull_request:6150", + "pull_request:4112|pull_request:5456", + "pull_request:4113|pull_request:6002", + "pull_request:415|pull_request:921", + "pull_request:416|pull_request:418", + "pull_request:418|pull_request:921", + "pull_request:4187|pull_request:4690" + ], + "prepared_review_unit_hash": "7e4cd758f3a8d00792c80edc6d952cbc581beb68b64da558d07a0124db48f165", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 37, + "serialized_chars": 105319, + "estimated_input_tokens": 26330, + "estimated_eval_tokens": 52916 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most soft links are superficial matches on shared docs/pipeline/scheduler filenames, but the paired PRs address different bugs or unrelated documentation/test edits. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out because the cluster is not a duplicate set; it mixes unrelated docs, tests, scheduler, and pipeline changes.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a safe global representative for this cluster; none subsume the others or fix the same concrete problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3928", + "right": "pull_request:4396", + "accept": false, + "reason": "Different bugs: ControlNet out-of-list handling vs SDXL/other pipelines allowing encode_prompt without text_encoder set." + }, + { + "left": "pull_request:3931", + "right": "pull_request:4748", + "accept": false, + "reason": "Unrelated changes: ckpt loading logic vs setup.py release instructions." + }, + { + "left": "pull_request:396", + "right": "pull_request:397", + "accept": false, + "reason": "Both are docs, but they update different pages with different content." + }, + { + "left": "pull_request:396", + "right": "pull_request:415", + "accept": false, + "reason": "Different documentation areas; no shared change or bug." + }, + { + "left": "pull_request:396", + "right": "pull_request:418", + "accept": false, + "reason": "Different docs pages with different scope and content." + }, + { + "left": "pull_request:396", + "right": "pull_request:508", + "accept": false, + "reason": "Docs PR vs scheduler/example code changes; unrelated." + }, + { + "left": "pull_request:397", + "right": "pull_request:408", + "accept": false, + "reason": "Both are docs edits, but they are separate page-level changes." + }, + { + "left": "pull_request:397", + "right": "pull_request:416", + "accept": false, + "reason": "Quicktour rewrite vs models API/docs overhaul; different changes." + }, + { + "left": "pull_request:397", + "right": "pull_request:921", + "accept": false, + "reason": "Only broad docs overlap; 921 is a larger docs refresh, not the same quicktour change." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4010", + "accept": false, + "reason": "Docs build workflow fix vs SDXL sequential offload code fix." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4196", + "accept": false, + "reason": "Different issues: documentation workflow vs SDXL docs content updates." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4984", + "accept": false, + "reason": "CI/doc workflow change vs PR template typo update." + }, + { + "left": "pull_request:3972", + "right": "pull_request:4850", + "accept": false, + "reason": "Build workflow refactor vs deprecation-warning cleanup; unrelated." + }, + { + "left": "pull_request:3979", + "right": "pull_request:6410", + "accept": false, + "reason": "Different code paths: SDXL attention processor check vs RL value-guided sampling module registration." + }, + { + "left": "pull_request:3985", + "right": "pull_request:4807", + "accept": false, + "reason": "SDXL English docs tweak vs Chinese docs addition; not the same change." + }, + { + "left": "pull_request:3989", + "right": "pull_request:5097", + "accept": false, + "reason": "Sequential CPU offload bugfix vs float16 test adjustments." + }, + { + "left": "pull_request:3989", + "right": "pull_request:6075", + "accept": false, + "reason": "Offload logic fix vs backend cache-clearing test/device cleanup." + }, + { + "left": "pull_request:3989", + "right": "pull_request:6198", + "accept": false, + "reason": "Pipeline offload fix vs benchmark logging/reporting; unrelated." + }, + { + "left": "pull_request:4", + "right": "pull_request:75", + "accept": false, + "reason": "Both touch Glide-era code, but one converts weights and the other changes attention implementation; different changes." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4237", + "accept": false, + "reason": "SDXL docs corrections vs prompt-encoding bugfix; unrelated." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4238", + "accept": false, + "reason": "SDXL docs corrections vs ControlNet inference/offload fix; unrelated." + }, + { + "left": "pull_request:4058", + "right": "pull_request:5602", + "accept": false, + "reason": "Both are docs cleanup, but they touch different pages and edits." + }, + { + "left": "pull_request:408", + "right": "pull_request:415", + "accept": false, + "reason": "Separate documentation updates on different topics/pages." + }, + { + "left": "pull_request:408", + "right": "pull_request:418", + "accept": false, + "reason": "Different docs areas: models/contribution typos vs DiffusionPipeline overview." + }, + { + "left": "pull_request:4082", + "right": "pull_request:6322", + "accept": false, + "reason": "Different problems: SDXL dependency pin vs training script attention/scheduler logic." + }, + { + "left": "pull_request:4082", + "right": "pull_request:6337", + "accept": false, + "reason": "Requirement pin change vs retrieve_latents fix; unrelated." + }, + { + "left": "pull_request:41", + "right": "pull_request:498", + "accept": false, + "reason": "Comment cleanup vs attention-slicing bugfix in pipelines." + }, + { + "left": "pull_request:41", + "right": "pull_request:693", + "accept": false, + "reason": "Unrelated: model comments vs README citation formatting." + }, + { + "left": "pull_request:41", + "right": "pull_request:75", + "accept": false, + "reason": "Shared old model code, but one is comment cleanup and the other fixes attention behavior." + }, + { + "left": "pull_request:4106", + "right": "pull_request:4276", + "accept": false, + "reason": "Tortoise TTS implementation vs pipeline import test; different scope." + }, + { + "left": "pull_request:4106", + "right": "pull_request:6150", + "accept": false, + "reason": "New Tortoise TTS feature vs IP-Adapter converter method; unrelated." + }, + { + "left": "pull_request:4112", + "right": "pull_request:5456", + "accept": false, + "reason": "DreamBooth LoRA rank enhancement vs RealFill feature addition; different projects." + }, + { + "left": "pull_request:4113", + "right": "pull_request:6002", + "accept": false, + "reason": "Inpaint dtype bugfix vs Stable Video Diffusion guidance-scale fix." + }, + { + "left": "pull_request:415", + "right": "pull_request:921", + "accept": false, + "reason": "Both are docs-related, but 921 is a broad docs refresh rather than the same training docs change." + }, + { + "left": "pull_request:416", + "right": "pull_request:418", + "accept": false, + "reason": "Models API docs vs DiffusionPipeline docs; different documentation targets." + }, + { + "left": "pull_request:418", + "right": "pull_request:921", + "accept": false, + "reason": "Only broad docs overlap; the content changes are not the same underlying edit." + }, + { + "left": "pull_request:4187", + "right": "pull_request:4690", + "accept": false, + "reason": "Same scheduler file, but different concrete changes: timestep dedup/indexing vs sigma-based refactor." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 229, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4188", + "pull_request:4196", + "pull_request:42", + "pull_request:421", + "pull_request:4211", + "pull_request:422", + "pull_request:423", + "pull_request:4239", + "pull_request:4275", + "pull_request:4276", + "pull_request:43", + "pull_request:4320", + "pull_request:4339", + "pull_request:4347", + "pull_request:4370", + "pull_request:4395", + "pull_request:4417", + "pull_request:4437", + "pull_request:4495", + "pull_request:4563", + "pull_request:4581", + "pull_request:4596", + "pull_request:46", + "pull_request:4632", + "pull_request:4635", + "pull_request:4655", + "pull_request:4666", + "pull_request:5456", + "pull_request:5506", + "pull_request:5552", + "pull_request:5707", + "pull_request:5768", + "pull_request:5853", + "pull_request:5922", + "pull_request:5937", + "pull_request:5982", + "pull_request:6002", + "pull_request:6053", + "pull_request:6078", + "pull_request:6326", + "pull_request:6337", + "pull_request:6360", + "pull_request:6437", + "pull_request:6591", + "pull_request:6800", + "pull_request:7", + "pull_request:91", + "pull_request:96" + ], + "soft_pairs": [ + "pull_request:4188|pull_request:4370", + "pull_request:4196|pull_request:4635", + "pull_request:42|pull_request:96", + "pull_request:421|pull_request:422", + "pull_request:421|pull_request:91", + "pull_request:4211|pull_request:6002", + "pull_request:422|pull_request:423", + "pull_request:4239|pull_request:6326", + "pull_request:4275|pull_request:6337", + "pull_request:4275|pull_request:6591", + "pull_request:4276|pull_request:4417", + "pull_request:4276|pull_request:6437", + "pull_request:43|pull_request:7", + "pull_request:4320|pull_request:6337", + "pull_request:4320|pull_request:6591", + "pull_request:4339|pull_request:5937", + "pull_request:4347|pull_request:6053", + "pull_request:4395|pull_request:6078", + "pull_request:4437|pull_request:5768", + "pull_request:4495|pull_request:6360", + "pull_request:4495|pull_request:6800", + "pull_request:4563|pull_request:5707", + "pull_request:4563|pull_request:6053", + "pull_request:4581|pull_request:5552", + "pull_request:4596|pull_request:5456", + "pull_request:46|pull_request:96", + "pull_request:4632|pull_request:5922", + "pull_request:4635|pull_request:5982", + "pull_request:4655|pull_request:5506", + "pull_request:4666|pull_request:5853" + ], + "prepared_review_unit_hash": "1be363dbd9c9d63b8fce6d4d40fb6e3963812af25213b6b293b63c297d08129a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 103688, + "estimated_input_tokens": 25922, + "estimated_eval_tokens": 52100 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs across docs, training scripts, schedulers, and pipeline fixes; they share broad Diffusers/SDXL themes but not the same underlying change or bug. No soft edge looks like a true duplicate.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6360 is the best canonical PR candidate: it fixes a concrete inpaint bug across multiple pipelines, has an explicit issue target, and is more substantive than the docs/test-only changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 6360 is the strongest representative of a real code-path fix in this cluster; the others are mostly documentation updates, tests, or unrelated feature/bug patches.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4188", + "right": "pull_request:4370", + "accept": false, + "reason": "Different changes: SDXL ControlNet training cache fingerprint vs dummy import path cleanup. Same area, not same bug." + }, + { + "left": "pull_request:4196", + "right": "pull_request:4635", + "accept": false, + "reason": "Docs only vs MultiControlNet docs plus a research-project file. No shared concrete bug or change." + }, + { + "left": "pull_request:42", + "right": "pull_request:96", + "accept": false, + "reason": "Different eras and purposes: a test addition for LDM uncond vs broader LDM finalization/model exports." + }, + { + "left": "pull_request:421", + "right": "pull_request:422", + "accept": false, + "reason": "Separate docs rewrites for schedulers vs outputs; same repo area but unrelated content." + }, + { + "left": "pull_request:421", + "right": "pull_request:91", + "accept": false, + "reason": "Scheduler docs cleanup vs core scheduler/model API refactor. Not the same fix." + }, + { + "left": "pull_request:4211", + "right": "pull_request:6002", + "accept": false, + "reason": "SDXL inpainting docstring example vs Stable Video Diffusion guidance-scale logic. Different pipelines and bugs." + }, + { + "left": "pull_request:422", + "right": "pull_request:423", + "accept": false, + "reason": "Outputs docs vs pipelines/docs/API expansion. Not a duplicate change." + }, + { + "left": "pull_request:4239", + "right": "pull_request:6326", + "accept": false, + "reason": "DreamBooth text-encoder naming fix vs TensorRT guidance_scale setter bug. Different code paths." + }, + { + "left": "pull_request:4275", + "right": "pull_request:6337", + "accept": false, + "reason": "AutoPipeline docs typo fix vs TensorRT latent retrieval fix. Only superficial similarity in docs/examples." + }, + { + "left": "pull_request:4275", + "right": "pull_request:6591", + "accept": false, + "reason": "Docs typo in AutoPipeline vs widespread 'procecss' typo cleanup across examples and pipelines. Not the same change." + }, + { + "left": "pull_request:4276", + "right": "pull_request:4417", + "accept": false, + "reason": "Import test addition vs large SDXL community pipeline feature. No overlap beyond generic pipeline coverage." + }, + { + "left": "pull_request:4276", + "right": "pull_request:6437", + "accept": false, + "reason": "Pipeline import test vs CI filter change for PEFT tests. Different test concerns." + }, + { + "left": "pull_request:43", + "right": "pull_request:7", + "accept": false, + "reason": "Model card/template and example/scheduler updates vs early VQ-VAE model addition. Not the same artifact." + }, + { + "left": "pull_request:4320", + "right": "pull_request:6337", + "accept": false, + "reason": "ONNX docs typo fix vs TensorRT latent extraction bugfix. Different subsystems and intent." + }, + { + "left": "pull_request:4320", + "right": "pull_request:6591", + "accept": false, + "reason": "ONNX docs wording fix vs broad typo cleanup across examples/pipelines. Not a duplicate." + }, + { + "left": "pull_request:4339", + "right": "pull_request:5937", + "accept": false, + "reason": "Default guidance_scale docstring correction vs Kandinsky 3 documentation. Unrelated content." + }, + { + "left": "pull_request:4347", + "right": "pull_request:6053", + "accept": false, + "reason": "Scheduler step-index bugfix vs training loss logging change. Different code paths and outcomes." + }, + { + "left": "pull_request:4395", + "right": "pull_request:6078", + "accept": false, + "reason": "DreamBooth class-prompt pre-encoding fix vs Euler discrete sigma fix. Unrelated fixes." + }, + { + "left": "pull_request:4437", + "right": "pull_request:5768", + "accept": false, + "reason": "Consistency-model sampling bug fix vs dataset data_dir plumbing and doc tweaks. Not the same bug." + }, + { + "left": "pull_request:4495", + "right": "pull_request:6360", + "accept": false, + "reason": "SDXL reference community pipeline vs inpaint padding_mask_crop support. Different features and pipelines." + }, + { + "left": "pull_request:4495", + "right": "pull_request:6800", + "accept": false, + "reason": "New community SDXL reference pipeline vs adding torchvision availability helper. No shared code-path bug." + }, + { + "left": "pull_request:4563", + "right": "pull_request:5707", + "accept": false, + "reason": "Prompt2Prompt community pipeline addition vs LCM test additions. One is a feature, the other tests." + }, + { + "left": "pull_request:4563", + "right": "pull_request:6053", + "accept": false, + "reason": "Prompt2Prompt feature vs logging step_loss in training. Unrelated." + }, + { + "left": "pull_request:4581", + "right": "pull_request:5552", + "accept": false, + "reason": "UniPC Karras-sigma fix vs FreeU disable-method fix. Different scheduler/model bugs." + }, + { + "left": "pull_request:4596", + "right": "pull_request:5456", + "accept": false, + "reason": "SDXL conversion script vs RealFill research project addition. No duplicate underlying change." + }, + { + "left": "pull_request:46", + "right": "pull_request:96", + "accept": false, + "reason": "ResNet refactor/overwrite support vs later LDM finalization. Related history, but not the same concrete change." + }, + { + "left": "pull_request:4632", + "right": "pull_request:5922", + "accept": false, + "reason": "Text-to-image LoRA checkpointing/casting fixes vs MultiAdapter inpainting bug fix. Different functionality." + }, + { + "left": "pull_request:4635", + "right": "pull_request:5982", + "accept": false, + "reason": "MultiControlNet docs and example update vs SDXL Turbo docs. Similar domain, but distinct documentation sets." + }, + { + "left": "pull_request:4655", + "right": "pull_request:5506", + "accept": false, + "reason": "Dataset data_dir argument plumbing vs xformers/PEFT LoRA attention scale fix. Different bugs." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5853", + "accept": false, + "reason": "SDXL ControlNet LoRA loading fix vs doctests workflow addition. Code fix vs CI infrastructure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 230, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4700", + "pull_request:4706", + "pull_request:4721", + "pull_request:4741", + "pull_request:4746", + "pull_request:4748", + "pull_request:4761", + "pull_request:4793", + "pull_request:4807", + "pull_request:4822", + "pull_request:4847", + "pull_request:4862", + "pull_request:4881", + "pull_request:4886", + "pull_request:4934", + "pull_request:4955", + "pull_request:4973", + "pull_request:498", + "pull_request:4984", + "pull_request:5", + "pull_request:5011", + "pull_request:5021", + "pull_request:5030", + "pull_request:5038", + "pull_request:5056", + "pull_request:5098", + "pull_request:5111", + "pull_request:5307", + "pull_request:5499", + "pull_request:5506", + "pull_request:5682", + "pull_request:5698", + "pull_request:5699", + "pull_request:5754", + "pull_request:5937", + "pull_request:6017", + "pull_request:6049", + "pull_request:6364", + "pull_request:6389", + "pull_request:6466", + "pull_request:6490", + "pull_request:6591", + "pull_request:6800", + "pull_request:7", + "pull_request:7153", + "pull_request:7272", + "pull_request:75" + ], + "soft_pairs": [ + "pull_request:4700|pull_request:5499", + "pull_request:4706|pull_request:4862", + "pull_request:4721|pull_request:6591", + "pull_request:4741|pull_request:6049", + "pull_request:4746|pull_request:5682", + "pull_request:4748|pull_request:5307", + "pull_request:4761|pull_request:5098", + "pull_request:4793|pull_request:5506", + "pull_request:4793|pull_request:5754", + "pull_request:4807|pull_request:5937", + "pull_request:4807|pull_request:6017", + "pull_request:4807|pull_request:6466", + "pull_request:4822|pull_request:5699", + "pull_request:4822|pull_request:6389", + "pull_request:4822|pull_request:6591", + "pull_request:4847|pull_request:6490", + "pull_request:4881|pull_request:4934", + "pull_request:4886|pull_request:7153", + "pull_request:4955|pull_request:5698", + "pull_request:4973|pull_request:6800", + "pull_request:498|pull_request:75", + "pull_request:4984|pull_request:5698", + "pull_request:5|pull_request:7", + "pull_request:5011|pull_request:5098", + "pull_request:5021|pull_request:6364", + "pull_request:5030|pull_request:7272", + "pull_request:5038|pull_request:5506", + "pull_request:5056|pull_request:5111" + ], + "prepared_review_unit_hash": "e2b940f4d4727ef16f198745c3d949d81fa6b62ad8a2ad4c85a2e5f7c393d2a9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 95681, + "estimated_input_tokens": 23921, + "estimated_eval_tokens": 48098 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated documentation updates, small bug fixes, training script changes, and one-off community/example PRs. 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"reason": "Localized stable diffusion docs and a doc-builder test PR are not the same underlying change." + }, + { + "left": "pull_request:4807", + "right": "pull_request:6466", + "accept": false, + "reason": "Chinese stable diffusion docs and SVD doc edits are unrelated docs updates." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5699", + "accept": false, + "reason": "A LoRA warning-typo fix is unrelated to stable unclip/unclip styling cleanup." + }, + { + "left": "pull_request:4822", + "right": "pull_request:6389", + "accept": false, + "reason": "LoRA warning wording and SVD noise_aug_strength type fixes affect different pipelines and bugs." + }, + { + "left": "pull_request:4822", + "right": "pull_request:6591", + "accept": false, + "reason": "LoRA warning text fix is unrelated to the broad process/procecss typo cleanup PR." + }, + { + "left": "pull_request:4847", + "right": "pull_request:6490", + "accept": false, + "reason": "Prompt Free Diffusion community example and RAVE video editing community example are distinct additions." + }, + { + "left": "pull_request:4881", + "right": "pull_request:4934", + "accept": false, + "reason": "SDXL pix2pix vae_precision support and T2I-Adapters training script are different training features, not one bug." + }, + { + "left": "pull_request:4886", + "right": "pull_request:7153", + "accept": false, + "reason": "StableDiffusionUpscalePipeline safety checker fix is unrelated to CI path filtering for documentation workflows." + }, + { + "left": "pull_request:4955", + "right": "pull_request:5698", + "accept": false, + "reason": "Argument type fix in SDXL pix2pix training is unrelated to the LCM img2img fix." + }, + { + "left": "pull_request:4973", + "right": "pull_request:6800", + "accept": false, + "reason": "README badge addition and adding is_torchvision_available are unrelated maintenance changes." + }, + { + "left": "pull_request:498", + "right": "pull_request:75", + "accept": false, + "reason": "Attention slicing disable fix and Glide attention overwrite setup are different bugs in different architectures." + }, + { + "left": "pull_request:4984", + "right": "pull_request:5698", + "accept": false, + "reason": "PR template docs edit is unrelated to LCM img2img behavior." + }, + { + "left": "pull_request:5", + "right": "pull_request:7", + "accept": false, + "reason": "UNetLDM and VQVAE are separate model implementations, not duplicates." + }, + { + "left": "pull_request:5011", + "right": "pull_request:5098", + "accept": false, + "reason": "Flax/PT class-name cleanup in pipeline loading is unrelated to Kandinsky precision test additions." + }, + { + "left": "pull_request:5021", + "right": "pull_request:6364", + "accept": false, + "reason": "Scheduler mapping docs update and inpaint overlay doc update are both docs, but not the same documentation change." + }, + { + "left": "pull_request:5030", + "right": "pull_request:7272", + "accept": false, + "reason": "Model offload key 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"pull_request:5307|pull_request:6766", + "pull_request:5307|pull_request:7307", + "pull_request:5312|pull_request:6236", + "pull_request:5331|pull_request:7166", + "pull_request:5391|pull_request:6658", + "pull_request:5424|pull_request:7062", + "pull_request:5454|pull_request:6861", + "pull_request:5478|pull_request:5831", + "pull_request:5499|pull_request:6065", + "pull_request:5533|pull_request:5707", + "pull_request:5533|pull_request:5818" + ], + "prepared_review_unit_hash": "6f78475d554bbf3f34d8e8b2165bb1a599390612b0797267f1eb542b8eee44f2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 100372, + "estimated_input_tokens": 25093, + "estimated_eval_tokens": 50442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, 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Completely unrelated bugs." + }, + { + "left": "pull_request:5111", + "right": "pull_request:7328", + "accept": false, + "reason": "One adds Karras sigma support to schedulers/pipeline; the other only changes PyPI publish workflow deps. No shared change." + }, + { + "left": "pull_request:5122", + "right": "pull_request:5833", + "accept": false, + "reason": "Workflow Python version bump vs. docs for PixArt under-8GB usage; unrelated." + }, + { + "left": "pull_request:5122", + "right": "pull_request:5834", + "accept": false, + "reason": "Workflow Python version bump vs. ControlNet single-file import fix; unrelated." + }, + { + "left": "pull_request:5122", + "right": "pull_request:7339", + "accept": false, + "reason": "Workflow Python version bump vs. release workflow dependency changes; different CI areas and fixes." + }, + { + "left": "pull_request:5185", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA, but one fixes PEFT CI scaling logic and the other adds adapter_names support in fuse_lora; not the same bug." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5331", + "accept": false, + "reason": "Both touch attention_processor, but one changes LoRA/xformers processor removal behavior while the other refactors example scripts to use LoRALinear; distinct changes." + }, + { + "left": "pull_request:5201", + "right": "pull_request:6085", + "accept": false, + "reason": "LoRA/xformers processor handling vs. scheduler add_noise bug fix; unrelated code paths." + }, + { + "left": "pull_request:5250", + "right": "pull_request:5910", + "accept": false, + "reason": "Docs navigation for DDPO vs. IPAdapterFull feature support; unrelated." + }, + { + "left": "pull_request:5250", + "right": "pull_request:6800", + "accept": false, + "reason": "DDPO docs entry vs. adding is_torchvision_available utility; unrelated." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6861", + "accept": false, + "reason": "README formatting/docs update vs. SDXL CFG-end plumbing; different scope and code." + }, + { + "left": "pull_request:5286", + "right": "pull_request:6800", + "accept": false, + "reason": "Japanese docs addition vs. torchvision availability helper; unrelated." + }, + { + "left": "pull_request:5289", + "right": "pull_request:6875", + "accept": false, + "reason": "Different test adjustments in different pipelines; not the same failing behavior." + }, + { + "left": "pull_request:5304", + "right": "pull_request:5729", + "accept": false, + "reason": "DeepFloyd-IF docstring typing cleanup vs. example train script min-version bump; unrelated." + }, + { + "left": "pull_request:5307", + "right": "pull_request:5780", + "accept": false, + "reason": "A new shell sort toy file vs. a minor docstring edit in checkpoint_merger; clearly unrelated." + }, + { + "left": "pull_request:5307", + "right": "pull_request:6754", + "accept": false, + "reason": "New toy script vs. diffusion DPO loss fix; no shared underlying bug." + }, + { + "left": "pull_request:5307", + "right": "pull_request:6765", + "accept": false, + "reason": "New shell.py file vs. hub cache path fix; unrelated." + }, + { + "left": "pull_request:5307", + "right": "pull_request:6766", + "accept": false, + "reason": "New shell.py file vs. constants.py path fix; unrelated." + }, + { + "left": "pull_request:5307", + "right": "pull_request:7307", + "accept": false, + "reason": "New shell.py file vs. TensorRT example/config update; unrelated." + }, + { + "left": "pull_request:5312", + "right": "pull_request:6236", + "accept": false, + "reason": "General model docs/typehints cleanup vs. ControlNet inpainting example correction; different changes." + }, + { + "left": "pull_request:5331", + "right": "pull_request:7166", + "accept": false, + "reason": "Both involve DreamBooth LoRA, but one modernizes example LoRA internals while the other fixes a specific SDXL loading variable typo; not mergeable into one PR." + }, + { + "left": "pull_request:5391", + "right": "pull_request:6658", + "accept": false, + "reason": "Docs/typehint cleanup in models vs. new memory-footprint utility; unrelated." + }, + { + "left": "pull_request:5424", + "right": "pull_request:7062", + "accept": false, + "reason": "Pipeline test matrix filtering vs. imagic docstring correction; unrelated." + }, + { + "left": "pull_request:5454", + "right": "pull_request:6861", + "accept": false, + "reason": "Schedulers markdown link fix vs. SDXL CFG-end implementation; unrelated." + }, + { + "left": "pull_request:5478", + "right": "pull_request:5831", + "accept": false, + "reason": "Japanese docs rollout vs. a small docs title fix; different scope and no shared bug." + }, + { + "left": "pull_request:5499", + "right": "pull_request:6065", + "accept": false, + "reason": "Docs link cleanup across many pipeline pages vs. SDXL Turbo docs addition; both docs but not the same change." + }, + { + "left": "pull_request:5533", + "right": "pull_request:5707", + "accept": false, + "reason": "Both touch SDXL tests, but one speeds up mixture tests while the other adds LCM test coverage and loader changes; different goals and code paths." + }, + { + "left": "pull_request:5533", + "right": "pull_request:5818", + "accept": false, + "reason": "Speeding up SDXL tests vs. updating pipeline PR test workflow; 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": 265, + "review_unit_index": 232, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5568", + "pull_request:56", + "pull_request:5614", + "pull_request:5622", + "pull_request:5626", + "pull_request:5682", + "pull_request:5707", + "pull_request:5723", + "pull_request:5727", + "pull_request:5750", + "pull_request:5780", + "pull_request:5788", + "pull_request:5842", + "pull_request:5844", + "pull_request:5855", + "pull_request:5858", + "pull_request:5895", + "pull_request:5910", + "pull_request:5911", + "pull_request:5920", + "pull_request:5961", + "pull_request:5974", + "pull_request:5982", + "pull_request:5983", + "pull_request:6", + "pull_request:6051", + "pull_request:6192", + "pull_request:6241", + "pull_request:6276", + "pull_request:6326", + "pull_request:6339", + "pull_request:6498", + "pull_request:6643", + "pull_request:6656", + "pull_request:6800", + "pull_request:6861", + "pull_request:6941", + "pull_request:7", + "pull_request:7062", + "pull_request:7077", + "pull_request:7307", + "pull_request:7324", + "pull_request:7510", + "pull_request:774", + "pull_request:7767", + "pull_request:909", + "pull_request:96" + ], + "soft_pairs": [ + "pull_request:5568|pull_request:5961", + "pull_request:56|pull_request:774", + "pull_request:56|pull_request:909", + "pull_request:5614|pull_request:5858", + "pull_request:5622|pull_request:6326", + "pull_request:5622|pull_request:7077", + "pull_request:5626|pull_request:7767", + "pull_request:5682|pull_request:6339", + "pull_request:5707|pull_request:7324", + "pull_request:5723|pull_request:6051", + "pull_request:5723|pull_request:6498", + "pull_request:5723|pull_request:6800", + "pull_request:5727|pull_request:5911", + "pull_request:5727|pull_request:6192", + "pull_request:5727|pull_request:6656", + "pull_request:5750|pull_request:5895", + "pull_request:5780|pull_request:6861", + "pull_request:5780|pull_request:7307", + "pull_request:5788|pull_request:5974", + "pull_request:5842|pull_request:6241", + "pull_request:5842|pull_request:7062", + "pull_request:5844|pull_request:6643", + "pull_request:5855|pull_request:6861", + "pull_request:5895|pull_request:5982", + "pull_request:5910|pull_request:6941", + "pull_request:5911|pull_request:6192", + "pull_request:5911|pull_request:6656", + "pull_request:5920|pull_request:6276", + "pull_request:5983|pull_request:7510", + "pull_request:6|pull_request:7", + "pull_request:6|pull_request:96" + ], + "prepared_review_unit_hash": "14501f8b046b6dd31f475d51dcaa11240b7969fe976868225874103f966680de", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 98130, + "estimated_input_tokens": 24533, + "estimated_eval_tokens": 49322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: mostly unrelated docs, tests, and feature PRs across different subsystems. 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not the same bug or feature." + }, + { + "left": "pull_request:6", + "right": "pull_request:96", + "accept": false, + "reason": "Different early-init/model-export refactors touching separate model families." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 233, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:6002", + "pull_request:62", + "pull_request:6236", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6296", + "pull_request:6308", + "pull_request:6322", + "pull_request:6326", + "pull_request:6332", + "pull_request:6337", + "pull_request:6339", + "pull_request:6344", + "pull_request:6373", + "pull_request:6389", + "pull_request:6410", + "pull_request:6433", + "pull_request:6453", + "pull_request:6462", + "pull_request:6487", + "pull_request:6498", + "pull_request:6564", + "pull_request:662", + "pull_request:6645", + "pull_request:6759", + "pull_request:6800", + "pull_request:6910", + "pull_request:7077", + "pull_request:7087", + "pull_request:7510", + "pull_request:7653", + "pull_request:7720", + "pull_request:78", + "pull_request:802", + "pull_request:8268", + "pull_request:8272", + "pull_request:8378", + "pull_request:8419", + "pull_request:8425", + "pull_request:8426", + "pull_request:8481", + "pull_request:8483", + "pull_request:8491", + "pull_request:8654", + "pull_request:8656", + "pull_request:8698", + "pull_request:96" + ], + "soft_pairs": [ + "pull_request:6002|pull_request:7653", + "pull_request:6002|pull_request:8272", + "pull_request:62|pull_request:662", + "pull_request:62|pull_request:96", + "pull_request:6236|pull_request:6910", + "pull_request:6262|pull_request:8419", + "pull_request:6263|pull_request:8419", + "pull_request:6264|pull_request:8419", + "pull_request:6296|pull_request:6344", + "pull_request:6296|pull_request:6462", + "pull_request:6308|pull_request:8425", + "pull_request:6322|pull_request:7510", + "pull_request:6322|pull_request:8481", + "pull_request:6326|pull_request:6410", + "pull_request:6332|pull_request:6759", + "pull_request:6337|pull_request:7510", + "pull_request:6337|pull_request:8481", + "pull_request:6339|pull_request:7510", + "pull_request:6339|pull_request:8481", + "pull_request:6373|pull_request:8698", + "pull_request:6389|pull_request:7087", + "pull_request:6410|pull_request:7077", + "pull_request:6410|pull_request:8426", + "pull_request:6410|pull_request:8491", + "pull_request:6410|pull_request:8656", + "pull_request:6433|pull_request:6487", + "pull_request:6453|pull_request:6800", + "pull_request:6462|pull_request:7653", + "pull_request:6487|pull_request:8483", + "pull_request:6498|pull_request:8268", + "pull_request:6498|pull_request:8654", + "pull_request:6564|pull_request:7720", + "pull_request:662|pull_request:78", + "pull_request:662|pull_request:802", + "pull_request:6645|pull_request:8378" + ], + "prepared_review_unit_hash": "876dee6355c582c8daad6fa13811bf7e036b41b14e623eee099d70019efc378d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 35, + "serialized_chars": 100944, + "estimated_input_tokens": 25236, + "estimated_eval_tokens": 50728 + }, + "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 look similar at a very high level (docs tweaks, pipeline refactors, bug fixes, and model additions). I found no true duplicate PR pairs worth merging, so the cluster should not be collapsed aggressively.", + "confidence": 0.24, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8483 is the broadest and most central artifact in the set: a large feature addition that touches core package exports, docs, models, pipelines, and tests. It is the best representative only in the sense of being the most substantial PR here, not because the cluster is a true duplicate set.", + "best_issue_reason": null, + "best_pr_reason": "PR 8483 is the strongest single representative of the cluster because it is the largest, most cross-cutting change and the one most likely to absorb follow-up compatibility edits. The rest of the items are mostly narrow, unrelated fixes or docs updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6002", + "right": "pull_request:7653", + "accept": false, + "reason": "Completely different fixes: SVD guidance-scale logic vs a configuration decorator/name fix." + }, + { + "left": "pull_request:6002", + "right": "pull_request:8272", + "accept": false, + "reason": "Different subsystems and change types: SVD pipeline behavior vs grammar cleanup in scheduler error messages." + }, + { + "left": "pull_request:62", + "right": "pull_request:662", + "accept": false, + "reason": "Unrelated changes: latent diffusion decode scaling vs a textual inversion 6GB setup change." + }, + { + "left": "pull_request:62", + "right": "pull_request:96", + "accept": false, + "reason": "Both are LDM-era work, but one fixes unconditional pipeline decoding while the other is a broader finalization/refactor of the latent diffusion stack." + }, + { + "left": "pull_request:6236", + "right": "pull_request:6910", + "accept": false, + "reason": "Docs example for ControlNet inpainting vs ControlNet model-card standardization; 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"pull_request:6904", + "right": "pull_request:8688", + "accept": false, + "reason": "Image-loading support for PIL objects is unrelated to LoRA DoRA conversion fixes." + }, + { + "left": "pull_request:693", + "right": "pull_request:75", + "accept": false, + "reason": "BibTeX citation formatting and Glide attention behavior are unrelated." + }, + { + "left": "pull_request:6989", + "right": "pull_request:8990", + "accept": false, + "reason": "Benchmark workflow dependency tweaks and a new PAG pipeline are unrelated." + }, + { + "left": "pull_request:6998", + "right": "pull_request:8920", + "accept": false, + "reason": "Two separate doc callout edits in different guides; not the same content or bug." + }, + { + "left": "pull_request:7", + "right": "pull_request:74", + "accept": false, + "reason": "An initial VQ-VAE addition and a Grad-TTS mid-block change are different features." + }, + { + "left": "pull_request:7", + "right": "pull_request:79", + "accept": false, + "reason": "VQ-VAE addition is not the same underlying feature as adding unconditional image generation." + }, + { + "left": "pull_request:7", + "right": "pull_request:979", + "accept": false, + "reason": "Model code addition vs a README import fix are unrelated." + }, + { + "left": "pull_request:7024", + "right": "pull_request:8607", + "accept": false, + "reason": "AnimateLCM docs and TAESD3 docs are separate model/tutorial additions." + }, + { + "left": "pull_request:7034", + "right": "pull_request:8452", + "accept": false, + "reason": "Both are in single-file loading, but they fix different code paths: ControlNet meta-loading vs CLIP state-dict strictness." + }, + { + "left": "pull_request:705", + "right": "pull_request:824", + "accept": false, + "reason": "CI workflow/testing infrastructure changes are unrelated to Flax test support." + }, + { + "left": "pull_request:7077", + "right": "pull_request:8836", + "accept": false, + "reason": "Both touch attention processor code, but one fixes IP-Adapter head reshaping while the other fixes sliced-attention loop bounds." + }, + { + "left": "pull_request:7113", + "right": "pull_request:9065", + "accept": false, + "reason": "Slack notifications for Docker CI and sentencepiece dependency gating are unrelated." + }, + { + "left": "pull_request:7134", + "right": "pull_request:8684", + "accept": false, + "reason": "UNet type-hint cleanup and a Pillow import docs fix are different edits." + }, + { + "left": "pull_request:7156", + "right": "pull_request:7618", + "accept": false, + "reason": "Stalebot label handling and CPU offload slow-test fixes are unrelated." + }, + { + "left": "pull_request:7156", + "right": "pull_request:8688", + "accept": false, + "reason": "Stalebot logic and LoRA conversion logic do not address the same bug." + }, + { + "left": "pull_request:718", + "right": "pull_request:78", + "accept": false, + "reason": "Typos/docs cleanup and mid-block architecture fixes are unrelated." + }, + { + "left": "pull_request:7212", + "right": "pull_request:8836", + "accept": false, + "reason": "Different attention bugs: duplicate code removal in a transformer block vs a slicing loop off-by-one." + }, + { + "left": "pull_request:7213", + "right": "pull_request:8412", + "accept": false, + "reason": "Merge-LoRAs docs and single-file usage docs are distinct documentation topics." + }, + { + "left": "pull_request:7259", + "right": "pull_request:8990", + "accept": false, + "reason": "TCD intro docs and PAG pipeline implementation/docs are separate 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": 265, + "review_unit_index": 235, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": 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"pull_request:9463", + "pull_request:9536", + "pull_request:9649", + "pull_request:9684", + "pull_request:9721", + "pull_request:9769" + ], + "soft_pairs": [ + "pull_request:7339|pull_request:7778", + "pull_request:7458|pull_request:9251", + "pull_request:7464|pull_request:8426", + "pull_request:7464|pull_request:8491", + "pull_request:7472|pull_request:9036", + "pull_request:748|pull_request:819", + "pull_request:7510|pull_request:9036", + "pull_request:7510|pull_request:9116", + "pull_request:7520|pull_request:9463", + "pull_request:7564|pull_request:9036", + "pull_request:7564|pull_request:9116", + "pull_request:7594|pull_request:8224", + "pull_request:7627|pull_request:7913", + "pull_request:7709|pull_request:8990", + "pull_request:774|pull_request:78", + "pull_request:7790|pull_request:8467", + "pull_request:7791|pull_request:8836", + "pull_request:7857|pull_request:9649", + "pull_request:7919|pull_request:9684", + "pull_request:7919|pull_request:9769", + "pull_request:7938|pull_request:9721", + "pull_request:7977|pull_request:9036", + "pull_request:7977|pull_request:9116", + "pull_request:800|pull_request:904", + "pull_request:8225|pull_request:9015", + "pull_request:824|pull_request:828", + "pull_request:8298|pull_request:8652", + "pull_request:8310|pull_request:8478", + "pull_request:8386|pull_request:9536" + ], + "prepared_review_unit_hash": "f34d81c70d4904e242f7aff0bb3a64584e8d6823e22725d2df5be7c028cda072", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 101009, + "estimated_input_tokens": 25253, + "estimated_eval_tokens": 50762 + }, + "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, CI/workflows, tests, loaders, schedulers, and feature additions. I found no true duplicate pairs; the soft links are mostly superficial file/subsystem similarity.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9769 is the strongest single representative if one must be chosen: it is a large, coherent feature addition with an explicit issue target and broad but internally consistent code/docs changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 9769 is the best standalone PR in the set: substantial scope, clear feature intent, explicit tracking issue, and well-scoped implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7339", + "right": "pull_request:7778", + "accept": false, + "reason": "Different CI/workflow changes: release dependency install vs SSH debugging workflow. No shared bug or mergeable code path." + }, + { + "left": "pull_request:7458", + "right": "pull_request:9251", + "accept": false, + "reason": "One skips Dynamo tests on Python 3.12; the other changes which branches trigger fast tests. Both are test infra, but not the same underlying change." + }, + { + "left": "pull_request:7464", + "right": "pull_request:8426", + "accept": false, + "reason": "Unrelated: an example import path fix versus mirror-community workflow dependency setup." + }, + { + "left": "pull_request:7464", + "right": "pull_request:8491", + "accept": false, + "reason": "Unrelated: community example import fix versus core model import structure fix." + }, + { + "left": "pull_request:7472", + "right": "pull_request:9036", + "accept": false, + "reason": "Broken link in examples README versus nightly dependency install fix. Different files and problems." + }, + { + "left": "pull_request:748", + "right": "pull_request:819", + "accept": false, + "reason": "Example push_to_hub bug fix versus DDIM timestep dtype fix. Different code paths and eras." + }, + { + "left": "pull_request:7510", + "right": "pull_request:9036", + "accept": false, + "reason": "OOM fix for a VAE tiling test versus nightly dependency setup; unrelated." + }, + { + "left": "pull_request:7510", + "right": "pull_request:9116", + "accept": false, + "reason": "Test OOM fix versus dead-link docs fix. No shared underlying change." + }, + { + "left": "pull_request:7520", + "right": "pull_request:9463", + "accept": false, + "reason": "Adding HD-Painter community pipeline versus adding PAG support for SD Img2Img. Distinct features." + }, + { + "left": "pull_request:7564", + "right": "pull_request:9036", + "accept": false, + "reason": "AnimateDiff test fixes versus nightly dependency workflow changes. Not the same issue." + }, + { + "left": "pull_request:7564", + "right": "pull_request:9116", + "accept": false, + "reason": "AnimateDiff test fixes versus a docs link fix. Unrelated." + }, + { + "left": "pull_request:7594", + "right": "pull_request:8224", + "accept": false, + "reason": "Both touch docs, but one fixes callback usage and the other adds DeepFloyd training docs. Different documentation topics and purposes." + }, + { + "left": "pull_request:7627", + "right": "pull_request:7913", + "accept": false, + "reason": "Playground img2img latent handling fix versus adding custom timesteps/sigmas for ControlNet SDXL. Different pipeline bugs." + }, + { + "left": "pull_request:7709", + "right": "pull_request:8990", + "accept": false, + "reason": "Tailscale workflow addition versus adding PAG img2img support. Workflow/CI change, not the same feature or bug." + }, + { + "left": "pull_request:774", + "right": "pull_request:78", + "accept": false, + "reason": "A small tests fix versus a historic mid-block architecture refactor. Not the same underlying change." + }, + { + "left": "pull_request:7790", + "right": "pull_request:8467", + "accept": false, + "reason": "Community pipeline addition versus SEGA pipeline fix. Different pipelines and goals." + }, + { + "left": "pull_request:7791", + "right": "pull_request:8836", + "accept": false, + "reason": "AnimateDiff IP-Adapter creation support versus sliced attention loop bugfix. Related broad area, but different concrete problems." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9649", + "accept": false, + "reason": "PixArtSigma docs addition versus scheduler return_tuple/API behavior fixes. 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not the same fix." + }, + { + "left": "pull_request:6767", + "right": "pull_request:6769", + "accept": false, + "reason": "Different modules and path-handling changes." + }, + { + "left": "pull_request:4659", + "right": "pull_request:4661", + "accept": true, + "reason": "Both are the same SDXL long weighted prompt pipeline/community README change; 4661 is the clearer merged continuation." + }, + { + "left": "pull_request:7233", + "right": "pull_request:7235", + "accept": true, + "reason": "Same DoRA training feature for train_dreambooth_lora_sdxl.py; 7235 bundles the script change with docs." + }, + { + "left": "pull_request:4595", + "right": "pull_request:4596", + "accept": true, + "reason": "Both are the same SDXL conversion-script work; 4596 is the implemented version of the WIP 4595 branch." + }, + { + "left": "pull_request:9707", + "right": "pull_request:9714", + "accept": true, + "reason": "Same AuraFlow docstring refactor in the same file; 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": 1, + "component_count": 265, + "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:11782", + "pull_request:11783", + "pull_request:2046", + "pull_request:2383", + "pull_request:2384", + "pull_request:3633", + "pull_request:3952", + "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:8987", + "pull_request:9591", + "pull_request:9706", + "pull_request:9707", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "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", + "pull_request:8932|pull_request:8987", + "pull_request:11782|pull_request:11783" + ], + "prepared_review_unit_hash": "7f907488b01a8b15387f0856dba92fb4c277da06b280417cf53ce1c30f4f018f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 36, + "serialized_chars": 100711, + "estimated_input_tokens": 25178, + "estimated_eval_tokens": 50612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of separate duplicate mini-clusters: docs cleanup splits, identical small fixes in one file, and several mirrored training-script updates. 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"pull_request:8335", + "accept": false, + "reason": "Different example scripts and different refactor scopes; not a duplicate change." + }, + { + "left": "pull_request:6569", + "right": "pull_request:6654", + "accept": false, + "reason": "Both modularize validation/inference, but they target different training scripts and plumbing." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring refactors, but they touch different files and functions; not the same patch." + }, + { + "left": "pull_request:2046", + "right": "pull_request:2602", + "accept": false, + "reason": "Both test dependency pinning, but to different hub versions and at different points in time." + }, + { + "left": "pull_request:10504", + "right": "pull_request:10505", + "accept": true, + "reason": "Exact same test-only print removals in the same files; 10505 is the merged duplicate of 10504." + }, + { + "left": "pull_request:11407", + "right": "pull_request:11476", + "accept": false, + "reason": "Both are typo cleanup PRs, but they cover different file sets and unrelated text changes." + }, + { + "left": "pull_request:121", + "right": "pull_request:252", + "accept": false, + "reason": "Both update README examples, but they are different documentation expansions and not the same content." + }, + { + "left": "pull_request:12307", + "right": "pull_request:13115", + "accept": false, + "reason": "Both are modular pipeline fixes, but 12307 is a broad utility refactor while 13115 is a small export/default-blocks tweak." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 242, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": 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"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: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", + "pull_request:13254|pull_request:13341", + "pull_request:13254|pull_request:13342", + "pull_request:13315|pull_request:13335", + "pull_request:13315|pull_request:13341", + "pull_request:13315|pull_request:13342", + "pull_request:13335|pull_request:13341", + "pull_request:13335|pull_request:13342", + "pull_request:13341|pull_request:13342" + ], + "prepared_review_unit_hash": "c526fd2b1db65bb59b8457140d6ff860bb190bc86d3ef767e8da4936e5097568", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 45, + "serialized_chars": 111721, + "estimated_input_tokens": 27931, + "estimated_eval_tokens": 56118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This isn\u2019t one coherent duplicate cluster; it\u2019s several small same-change pairs mixed together with many unrelated refactors/docs updates. I\u2019d only merge the near-identical reposts or same-file fixes, and keep the broader cross-file/model-variant changes separate.", + "confidence": 0.57, + "canonical_issue_reason": null, + "canonical_pr_reason": "The cluster is heterogeneous, so there is no single canonical PR for all items; if one anchor is needed, PR 8820 is the strongest because it is the most complete merged PAG-controlnet implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR 8820 is the best single anchor among the accepted pairs: it\u2019s merged and includes the core PAG controlnet code plus docs/tests, making it more complete than the narrower sibling PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2812", + "right": "pull_request:2813", + "accept": true, + "reason": "Same Stable UnCLIP docs update with effectively identical diff and filenames; clearly the same change." + }, + { + "left": "pull_request:3554", + "right": "pull_request:3555", + "accept": true, + "reason": "These are the same textual inversion/moreh mirror patch set with identical file set and intent." + }, + { + "left": "pull_request:8816", + "right": "pull_request:8820", + "accept": true, + "reason": "Same PAG controlnet addition for SD1.5; 8820 is the more complete follow-up with the same core code-path plus docs/tests." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12143", + "accept": true, + "reason": "Both patch the same bf16/fp16 mask-cast issue in pipeline_wan_vace.py; one PR just adds test coverage." + }, + { + "left": "pull_request:326", + "right": "pull_request:327", + "accept": true, + "reason": "Both are the same PNDM pipeline typing/refactor change and could plausibly be merged into one PR." + }, + { + "left": "pull_request:6908", + "right": "pull_request:6910", + "accept": false, + "reason": "Same broad model-card standardization theme, but different scripts and model variants, so not the same concrete change." + }, + { + "left": "pull_request:6909", + "right": "pull_request:6910", + "accept": false, + "reason": "Different ControlNet training targets (flax vs torch) and different files; shared pattern is too broad for duplicate PR triage." + }, + { + "left": "pull_request:6939", + "right": "pull_request:6940", + "accept": false, + "reason": "Both standardize model cards, but they touch different training scripts and are not the same PR change." + }, + { + "left": "pull_request:6262", + "right": "pull_request:6263", + "accept": false, + "reason": "Both move different pipelines out of stable_diffusion, but they are separate features/code paths." + }, + { + "left": "pull_request:6262", + "right": "pull_request:6264", + "accept": false, + "reason": "Different pipeline moves (panorama vs SAG); 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same broad refactor family only." + }, + { + "left": "pull_request:6939", + "right": "pull_request:6947", + "accept": false, + "reason": "Same model-card standardization theme, but different example scripts and targets." + }, + { + "left": "pull_request:6940", + "right": "pull_request:6942", + "accept": false, + "reason": "Different training scripts (LoRA vs SDXL) and different model-card content; not the same PR." + }, + { + "left": "pull_request:9591", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring cleanup PRs, but they touch unrelated code and are not the same change." + }, + { + "left": "pull_request:1157", + "right": "pull_request:1186", + "accept": false, + "reason": "Both mention report_to/push_to_hub fixes, but they are different Flax training scripts and separate patches." + }, + { + "left": "pull_request:11920", + "right": "pull_request:11955", + "accept": false, + "reason": "Both add test slices, but for different model families (Wan vs Cosmos) and different files." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13315", + "accept": false, + "reason": "Both are transformer test refactors, but they target different model test suites and code paths." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13335", + "accept": false, + "reason": "Different model test refactors; same CI cleanup theme only." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13341", + "accept": false, + "reason": "Different transformer test suites, so not the same underlying change." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model-specific test refactors; not mergeable as one duplicate PR." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13335", + "accept": false, + "reason": "Same broad refactor style, but different model families and test files." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13341", + "accept": false, + "reason": "Different transformer test suites; not the same code-path change." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model-specific test refactors, so they should stay separate." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13341", + "accept": false, + "reason": "Separate refactors for different transformer models; same theme only." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model test suites and different changes; not duplicates." + }, + { + "left": "pull_request:13341", + "right": "pull_request:13342", + "accept": false, + "reason": "Both are Bria/Hunyuan-era transformer test refactors, but they affect different model suites 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": 265, + "review_unit_index": 243, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10109", + "pull_request:10183", + "pull_request:10268", + "pull_request:10364", + "pull_request:10365", + "pull_request:10402", + "pull_request:10434", + "pull_request:10991", + "pull_request:11920", + "pull_request:11954", + "pull_request:11955", + "pull_request:13069", + "pull_request:13071", + "pull_request:13253", + "pull_request:13254", + "pull_request:13315", + "pull_request:13335", + "pull_request:13341", + "pull_request:13342", + "pull_request:13346", + "pull_request:1513", + "pull_request:1564", + "pull_request:2812", + "pull_request:2813", + "pull_request:2815", + "pull_request:3568", + "pull_request:3577", + "pull_request:5104", + "pull_request:5105", + "pull_request:5239", + "pull_request:5242", + "pull_request:5833", + "pull_request:5834", + "pull_request:6907", + "pull_request:6908", + "pull_request:6909", + "pull_request:6910", + "pull_request:6942", + "pull_request:6944", + "pull_request:6947", + "pull_request:6963", + "pull_request:7615", + "pull_request:7903", + "pull_request:7934", + "pull_request:8064", + "pull_request:9083", + "pull_request:9591", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:5104|pull_request:5105", + "pull_request:5239|pull_request:5242", + "pull_request:7903|pull_request:8064", + "pull_request:13069|pull_request:13071", + "pull_request:6907|pull_request:6908", + "pull_request:6907|pull_request:6909", + "pull_request:6907|pull_request:6910", + "pull_request:10109|pull_request:10365", + "pull_request:10183|pull_request:10268", + "pull_request:11920|pull_request:11954", + "pull_request:11954|pull_request:11955", + "pull_request:13253|pull_request:13254", + "pull_request:13253|pull_request:13315", + "pull_request:13253|pull_request:13335", + "pull_request:13253|pull_request:13341", + "pull_request:13253|pull_request:13342", + "pull_request:13254|pull_request:13346", + "pull_request:13315|pull_request:13346", + "pull_request:13335|pull_request:13346", + "pull_request:13341|pull_request:13346", + "pull_request:2812|pull_request:2815", + "pull_request:2813|pull_request:2815", + "pull_request:3568|pull_request:3577", + "pull_request:6908|pull_request:6942", + "pull_request:10402|pull_request:10434", + "pull_request:6908|pull_request:6944", + "pull_request:6908|pull_request:6947", + "pull_request:6908|pull_request:6963", + "pull_request:6908|pull_request:7615", + "pull_request:9591|pull_request:9715", + "pull_request:6942|pull_request:6963", + "pull_request:6944|pull_request:6963", + "pull_request:6947|pull_request:6963", + "pull_request:1513|pull_request:1564", + "pull_request:5833|pull_request:7934", + "pull_request:5834|pull_request:7934", + "pull_request:10109|pull_request:10364", + "pull_request:10183|pull_request:10991", + "pull_request:10183|pull_request:9083" + ], + "prepared_review_unit_hash": "fc1dd8c91ecfe286d413ffc83ec20788f5951b0445d77d4f410023741d789331", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 39, + "serialized_chars": 105357, + "estimated_input_tokens": 26340, + "estimated_eval_tokens": 52936 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it contains a few true near-duplicates within small subtopics, but most items are separate feature, docs, or test refactors across different models and pipelines. 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The cluster is too broad and mixed to use one representative artifact without losing important distinctions between unrelated subgroups.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5104", + "right": "pull_request:5105", + "accept": true, + "reason": "Same feature change (timestep bias args) applied to the two DreamBooth training scripts; these could plausibly have been one PR." + }, + { + "left": "pull_request:5239", + "right": "pull_request:5242", + "accept": false, + "reason": "Both are docstrings, but they cover different methods (encode vs decode) and are separate API cleanups, not the same concrete change." + }, + { + "left": "pull_request:7903", + "right": "pull_request:8064", + "accept": false, + "reason": "Different pipelines and unrelated test additions; this is not the same underlying bug/change." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13071", + "accept": false, + "reason": "Different model test refactors; same general test area, but not the same concrete change." + }, + { + "left": "pull_request:6907", + "right": "pull_request:6908", + "accept": false, + "reason": "Both standardize model cards, but for different training scripts and variants; this is broad consistency work, not one duplicate change." + }, + { + "left": "pull_request:6907", + "right": "pull_request:6909", + "accept": false, + "reason": "Same rationale: related ControlNet docs refactors, but different scripts and code paths." + }, + { + "left": "pull_request:6907", + "right": "pull_request:6910", + "accept": false, + "reason": "Related ControlNet model-card cleanup, but not the same artifact or concrete fix." + }, + { + "left": "pull_request:10109", + "right": "pull_request:10365", + "accept": true, + "reason": "Both add the same torch_xla mark_step support pattern to pipelines; this is the same runtime fix applied to two concrete code paths." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10268", + "accept": false, + "reason": "Both are single-file support, but for different models and mappings; too broad to treat as one duplicate change." + }, + { + "left": "pull_request:11920", + "right": "pull_request:11954", + "accept": false, + "reason": "Both update tests, but for different pipelines and different generated outputs." + }, + { + "left": "pull_request:11954", + "right": "pull_request:11955", + "accept": false, + "reason": "Different pipeline test slices; same style of test update, not the same change." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13254", + "accept": false, + "reason": "Different transformer test refactors for different models; no shared concrete bug/change." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13315", + "accept": false, + "reason": "Separate refactors for different model tests, not duplicates." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13335", + "accept": false, + "reason": "Different model-specific CI refactors; too broad to merge as duplicates." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13341", + "accept": false, + "reason": "Different test refactors for different models." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13342", + "accept": false, + "reason": "Different model test refactors; unrelated concrete changes." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13346", + "accept": false, + "reason": "Different model test refactors; 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"left": "pull_request:7425", + "right": "pull_request:7910", + "accept": false, + "reason": "Different documentation areas: PEFT tutorial snippet vs image processor API docs." + }, + { + "left": "pull_request:9591", + "right": "pull_request:9714", + "accept": false, + "reason": "Unrelated docstring edits in different model classes." + }, + { + "left": "pull_request:10259", + "right": "pull_request:11655", + "accept": false, + "reason": "Same loader file, but different problems: Flux LoRA loading vs bnb 8-bit dequantization support." + }, + { + "left": "pull_request:6942", + "right": "pull_request:7615", + "accept": false, + "reason": "Both standardize model cards, but for different training scripts and model variants." + }, + { + "left": "pull_request:6940", + "right": "pull_request:7613", + "accept": false, + "reason": "Different model-card updates for different training scripts and outputs." + }, + { + "left": "pull_request:6940", + "right": "pull_request:7615", + "accept": false, + 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different bugs." + }, + { + "left": "pull_request:10464", + "right": "pull_request:10465", + "accept": true, + "reason": "Same FLUX NPU adaptation theme and overlapping transformer/controlnet changes; 10465 reads like a narrowed duplicate/follow-up of 10464." + }, + { + "left": "pull_request:7131", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are docs typo fixes, but they update different documentation areas and 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": 265, + "review_unit_index": 248, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster is mostly heterogeneous: version bumps, docs tweaks, test refactors, and unrelated pipeline/model additions. The only clear duplicate-like pair is the Hunyuan DiT ControlNet/Pipeline PRs (8478/8479), which have the same title and file set.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8478 is the best canonical PR candidate because it is part of the only near-exact duplicate pair in the cluster, with the same title and same touched files as 8479.", + "best_issue_reason": null, + "best_pr_reason": "PR 8478 is the strongest representative of the cluster because it is the clearest substantive duplicate candidate; the rest of the items are not close enough to collapse into one change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2864", + "right": "pull_request:2925", + "accept": false, + "reason": "Both are small docs edits, but they touch different pages and different wording; not the same underlying change." + }, + { + "left": "pull_request:3625", + "right": "pull_request:3676", + "accept": false, + "reason": "These are unrelated doc-builder test PRs that edit different files and replace different headings; 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related domain, but not the same change." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9760", + "accept": false, + "reason": "Both touch README.md, but one rewrites a project README and the other only tweaks headings in the main README." + }, + { + "left": "pull_request:8478", + "right": "pull_request:8479", + "accept": true, + "reason": "Same title, same touched files, and same Hunyuan DiT ControlNet/Pipeline addition; these look like duplicate PRs for the same change." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12225", + "accept": false, + "reason": "Both add QwenImage-related pipelines, but they introduce different concrete pipelines and can\u2019t be treated as one change." + }, + { + "left": "pull_request:327", + "right": "pull_request:335", + "accept": false, + "reason": "Both are type-hint refactors, but they target different modules and code paths." + }, + { + "left": "pull_request:7903", + "right": "pull_request:9131", + "accept": false, + "reason": "A video-processor test PR and an unrelated setup.py dependency change are not duplicates." + }, + { + "left": "pull_request:8064", + "right": "pull_request:9131", + "accept": false, + "reason": "Marigold test scaffolding and a setup dependency tweak are unrelated changes." + }, + { + "left": "pull_request:6910", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they affect different training examples and different scripts." + }, + { + "left": "pull_request:325", + "right": "pull_request:333", + "accept": false, + "reason": "Different pipeline/scheduler type-hint PRs with different modules; not the same concrete fix." + }, + { + "left": "pull_request:359", + "right": "pull_request:360", + "accept": false, + "reason": "These are similar type-hint updates, but one is only Karras VE while the other also changes LMS discrete; not the same PR." + }, + { + "left": "pull_request:335", + "right": "pull_request:349", + "accept": false, + "reason": "Different scheduler type-hint changes in different files; similar style, not the same underlying change." + }, + { + "left": "pull_request:6909", + "right": "pull_request:6939", + "accept": false, + "reason": "Both touch model-card generation, but one is ControlNet flax and the other is text-to-image training; separate changes." + }, + { + "left": "pull_request:12521", + "right": "pull_request:12562", + "accept": false, + "reason": "Both are crash fixes, but they address different code paths: Wan tiling decode vs context-parallel input handling." + }, + { + "left": "pull_request:1131", + "right": "pull_request:1490", + "accept": false, + "reason": "Both are version bump PRs, but for different releases and with different accompanying scheduler edits." + }, + { + "left": "pull_request:1131", + "right": "pull_request:912", + "accept": false, + "reason": "Same broad version-bump theme, but these are different release bumps and different implementation details." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13082", + "accept": false, + "reason": "Both are CI/test refactors, but they target different model test suites and different code." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2757", + "accept": false, + "reason": "One is a broad stable-diffusion cleanup PR; the other is a specific depth batching fix. Not the same bug." + }, + { + "left": "pull_request:1490", + "right": "pull_request:831", + "accept": false, + "reason": "Both bump versions, but they are for different release lines and include different scheduler updates." + }, + { + "left": "pull_request:2290", + "right": "pull_request:2446", + "accept": false, + "reason": "Both are docs-only pix2pix fixes, but they correct different issues in different files." + }, + { + "left": "pull_request:2388", + "right": "pull_request:4612", + "accept": false, + "reason": "Different documentation pages and different edits; not duplicates." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3099", + "accept": false, + "reason": "Both adjust defaults in docs/comments, but they touch different pipelines and different 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": 1, + "component_count": 265, + "review_unit_index": 249, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This set is not one coherent duplicate cluster; it breaks into a few small docs-only follow-up pairs plus many unrelated PRs (tests, typing, LoRA, version bumps). I only accepted near-exact same-change pairs and rejected broad-theme matches.", + "confidence": 0.76, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR covers the whole set; the items split into unrelated subtopics. The only true duplicate subclusters are small, mostly docs-only follow-ups.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR is suitable for the whole set. If forced to pick a representative, it would be one of the exact follow-up docs fixes, but none is a meaningful canonical across all items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2839", + "right": "pull_request:3525", + "accept": false, + "reason": "Both are README/docs updates, but they change different sections for different purposes and are not the same underlying change." + }, + { + "left": "pull_request:3525", + "right": "pull_request:3819", + "accept": false, + "reason": "Unrelated README edits: one is a general README update, the other adds an FAQ section." + }, + { + "left": "pull_request:3709", + "right": "pull_request:3710", + "accept": true, + "reason": "Same docs feature: both add the image-processor documentation and toctree entry, with only wording/title cleanup differing." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5267", + "accept": false, + "reason": "Different documentation changes in different files and contexts; no same underlying change." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5855", + "accept": false, + "reason": "Both touch README-style docs, but they are unrelated content changes." + }, + { + "left": "pull_request:4451", + "right": "pull_request:5220", + "accept": false, + "reason": "Both move tests to nightly, but they affect different test groups and are not the same concrete change." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5292", + "accept": false, + "reason": "Both speed up ControlNet tests, but they modify different test files and different fast-test setups." + }, + { + "left": "pull_request:6342", + "right": "pull_request:6438", + "accept": true, + "reason": "Same installation-doc warning for Windows/Python support; the later PR is a wording follow-up to the same note." + }, + { + "left": "pull_request:6453", + "right": "pull_request:6462", + "accept": true, + "reason": "Same amused paper-link correction in the same doc file; the later PR fixes the same underlying bad link." + }, + { + "left": "pull_request:6617", + "right": "pull_request:6620", + "accept": false, + "reason": "Insufficient evidence of the same change; one is a docs args cleanup and the other is a separate argument-fix PR." + }, + { + "left": "pull_request:7118", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are docs typo cleanups, but they span different pages and unrelated edits." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7827", + "accept": false, + "reason": "One fixes CPU offload tests, the other fixes a docstring example; different kinds of changes." + }, + { + "left": "pull_request:7767", + "right": "pull_request:7966", + "accept": false, + "reason": "One is a PixArt code cleanup, the other updates PixArt test expectations; 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Completely different work." + }, + { + "left": "pull_request:178", + "right": "pull_request:889", + "accept": false, + "reason": "Pipeline tests and adding components support are different changes, even if both touch stable diffusion." + }, + { + "left": "pull_request:1998", + "right": "pull_request:3525", + "accept": false, + "reason": "DreamBooth blog/docs addition and README rewrite are unrelated content changes." + }, + { + "left": "pull_request:2406", + "right": "pull_request:4612", + "accept": false, + "reason": "Both update the controlling-generation docs, but one adds content while the other fixes links. Not the same edit." + }, + { + "left": "pull_request:2569", + "right": "pull_request:4285", + "accept": false, + "reason": "OpenVINO docs addition vs combined OpenVINO/ONNX SDXL docs update. 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Framepack F1 variant rather than the same concrete change." + }, + { + "left": "pull_request:10378", + "right": "pull_request:8755", + "accept": false, + "reason": "Both edit the SD3 DreamBooth LoRA script, but they target different bugs: checkpointing vs text-encoder training." + }, + { + "left": "pull_request:325", + "right": "pull_request:359", + "accept": false, + "reason": "Different type-hint cleanups in unrelated modules." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5697", + "accept": false, + "reason": "Both are LoRA/xformers fixes, but they address different attention-processing bugs." + }, + { + "left": "pull_request:9893", + "right": "pull_request:9938", + "accept": false, + "reason": "Both update community reference docs, but they cover different pipelines and examples." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10330", + "accept": false, + "reason": "Same LTX Video family, but 10330 is a later model/version update rather than 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"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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "Only one soft pair looks like the same underlying change: the Wan Animate pipeline continuation. The rest are broad-but-separate docs or test fixes that are not duplicates under a strict triage standard.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12526 is the best canonical PR because it is the completed continuation of #12442 and covers the same Wan Animate pipeline implementation across the same core files.", + "best_issue_reason": null, + "best_pr_reason": "PR #12526 is the strongest representative of the only true duplicate pair in this set; it supersedes #12442 as the follow-up/continuation implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12442", + "right": "pull_request:12526", + "accept": true, + "reason": "Same Wan2.2 Animate pipeline feature/implementation; #12526 is explicitly a continuation of #12442 and touches the same core files." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11537", + "accept": false, + "reason": "Both add torch.compile-related tests, but for different models and different test code paths; not the same concrete change." + }, + { + "left": "pull_request:5674", + "right": "pull_request:6122", + "accept": false, + "reason": "Both are docs typo cleanups, but they affect different docs sets and are not the same underlying edit." + }, + { + "left": "pull_request:1137", + "right": "pull_request:3127", + "accept": false, + "reason": "Different bug fixes: one changes inpaint safety-checker dtype handling, the other changes img2img safety-checker processing." + }, + { + "left": "pull_request:10005", + "right": "pull_request:10819", + "accept": false, + "reason": "Both update docs, but they add different content in different areas; not a duplicate change." + }, + { + "left": "pull_request:10109", + "right": "pull_request:10222", + "accept": false, + "reason": "Same general XLA theme, but they patch different pipelines and different code paths." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10947", + "accept": false, + "reason": "Both add single-file support, but for different models and converters; not the same change." + }, + { + "left": "pull_request:10278", + "right": "pull_request:11473", + "accept": false, + "reason": "Both touch torchao docs, but one fixes an example while the other fixes fp8 quantization naming; separate changes." + }, + { + "left": "pull_request:10278", + "right": "pull_request:9015", + "accept": false, + "reason": "Unrelated docs examples in different components; not the same underlying change." + }, + { + "left": "pull_request:10394", + "right": "pull_request:11634", + "accept": false, + "reason": "Both are doc-link fixes, but for different pages and different broken links." + }, + { + "left": "pull_request:1041", + "right": "pull_request:2396", + "accept": false, + "reason": "Both are test cleanup PRs, but they target different regressions and different test files." + }, + { + "left": "pull_request:10434", + "right": "pull_request:11505", + "accept": false, + "reason": "Both fix docs links, but they touch different docs sets and are not one concrete duplicated edit." + }, + { + "left": "pull_request:1087", + "right": "pull_request:1467", + "accept": false, + "reason": "Both mention slow tests, but they fix different failures in different test areas." + }, + { + "left": "pull_request:1103", + "right": "pull_request:3166", + "accept": false, + "reason": "Both relate to textual inversion/docs, but one changes a README URL and the other changes loader example code." + }, + { + "left": "pull_request:1104", + "right": "pull_request:2362", + "accept": false, + "reason": "One adds slow MPS tests; the other adds an MPS skip decorator. Related theme, different changes." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12487", + "accept": false, + "reason": "Both are docs link sweeps, but they are broad independent fixes across different files; not the same duplicate change." + }, + { + "left": "pull_request:11857", + "right": "pull_request:12272", + "accept": false, + "reason": "Different Flux-related updates: one is docs references, the other is modular pipeline behavior." + }, + { + "left": "pull_request:121", + "right": "pull_request:1998", + "accept": false, + "reason": "Completely unrelated README/example updates." + }, + { + "left": "pull_request:1210", + "right": "pull_request:1467", + "accept": false, + "reason": "Both address slow tests, but the affected pipelines/tests differ and the fixes are not the same." + }, + { + "left": "pull_request:1230", + "right": "pull_request:2766", + "accept": false, + "reason": "Different MPS-related test fixes in different components; not mergeable as one PR." + }, + { + "left": "pull_request:12775", + "right": "pull_request:12856", + "accept": false, + "reason": "Docs-only Z-Image page creation versus the actual Z-Image implementation PR; not the same change." + }, + { + "left": "pull_request:1291", + "right": "pull_request:2757", + "accept": false, + "reason": "Different issues: notebook link fix versus depth batching behavior." + }, + { + "left": "pull_request:13253", + "right": "pull_request:13340", + "accept": false, + "reason": "Both refactor model tests, but for different models and different test suites." + }, + { + "left": "pull_request:1437", + "right": "pull_request:353", + "accept": false, + "reason": "Two unrelated typo fixes in different source files." + }, + { + "left": "pull_request:1467", + "right": "pull_request:2271", + "accept": false, + "reason": "Both are slow-test adjustments, but they target different test cases and code paths." + }, + { + "left": "pull_request:1467", + "right": "pull_request:2846", + "accept": false, + "reason": "Same broad category, but different test files and different slow-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": 265, + "review_unit_index": 253, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:168", + "pull_request:178", + "pull_request:1937", + "pull_request:1998", + "pull_request:2271", + "pull_request:2362", + "pull_request:2383", + "pull_request:2446", + "pull_request:252", + "pull_request:2595", + "pull_request:2792", + "pull_request:2846", + "pull_request:2935", + "pull_request:3119", + "pull_request:3217", + "pull_request:326", + "pull_request:333", + "pull_request:353", + "pull_request:386", + "pull_request:395", + "pull_request:3987", + "pull_request:3989", + "pull_request:4145", + "pull_request:4175", + "pull_request:4472", + "pull_request:4495", + "pull_request:4540", + "pull_request:4652", + "pull_request:4797", + "pull_request:5051", + "pull_request:5065", + "pull_request:5066", + "pull_request:5332", + "pull_request:5411", + "pull_request:5844", + "pull_request:6122", + "pull_request:6775", + "pull_request:679", + "pull_request:6837", + "pull_request:688", + "pull_request:715", + "pull_request:7425", + "pull_request:7472", + "pull_request:8470", + "pull_request:8775", + "pull_request:8923", + "pull_request:8946", + "pull_request:948" + ], + "soft_pairs": [ + "pull_request:168|pull_request:178", + "pull_request:178|pull_request:386", + "pull_request:1937|pull_request:2595", + "pull_request:1998|pull_request:252", + "pull_request:2271|pull_request:3989", + "pull_request:2362|pull_request:2792", + "pull_request:2383|pull_request:3217", + "pull_request:2446|pull_request:3987", + "pull_request:2846|pull_request:3989", + "pull_request:2935|pull_request:3119", + "pull_request:353|pull_request:948", + "pull_request:395|pull_request:679", + "pull_request:4145|pull_request:4175", + "pull_request:4472|pull_request:4540", + "pull_request:4495|pull_request:5844", + "pull_request:4652|pull_request:4797", + "pull_request:5051|pull_request:6122", + "pull_request:5065|pull_request:5332", + "pull_request:5066|pull_request:5332", + "pull_request:5411|pull_request:7472", + "pull_request:6775|pull_request:6837", + "pull_request:6775|pull_request:7425", + "pull_request:688|pull_request:715", + "pull_request:8470|pull_request:8775", + "pull_request:8923|pull_request:8946", + "pull_request:326|pull_request:333" + ], + "prepared_review_unit_hash": "125703bae0c8a30dccd0fd6b84d64929f90d1ed6fa75a5163f93c4e46315197a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 95362, + "estimated_input_tokens": 23841, + "estimated_eval_tokens": 47938 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "I treated these as mostly superficial-topic matches and rejected every soft edge: the pairs are generally different docs, tests, or code-path changes rather than the same underlying bug/fix. There isn\u2019t a single safe canonical PR across this set.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical here; the candidates span unrelated fixes across docs, tests, schedulers, and pipelines, often only sharing a broad subsystem or filename.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR is suitable as a duplicate target; the closest-looking matches still diverge on concrete behavior or file scope, so choosing one would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:168", + "right": "pull_request:178", + "accept": false, + "reason": "Code vs tests: the test PR validates Stable Diffusion but is not the same change as introducing the pipeline." + }, + { + "left": "pull_request:178", + "right": "pull_request:386", + "accept": false, + "reason": "Tests vs docs for Stable Diffusion; different deliverables and no shared bug fix." + }, + { + "left": "pull_request:1937", + "right": "pull_request:2595", + "accept": false, + "reason": "EMA extraction in a conversion script vs scheduler config handling; unrelated code paths." + }, + { + "left": "pull_request:1998", + "right": "pull_request:252", + "accept": false, + "reason": "DreamBooth blog-link README update vs general examples README expansion; different docs changes." + }, + { + "left": "pull_request:2271", + "right": "pull_request:3989", + "accept": false, + "reason": "Both touch slow tests, but for different pipelines and failures, not one underlying issue." + }, + { + "left": "pull_request:2362", + "right": "pull_request:2792", + "accept": false, + "reason": "One adds a skip-mps helper, the other applies it to different tests; related theme but not the same concrete change." + }, + { + "left": "pull_request:2383", + "right": "pull_request:3217", + "accept": false, + "reason": "Pix2Pix edit-vector utility vs pt_to_pil utility; unrelated helpers." + }, + { + "left": "pull_request:2446", + "right": "pull_request:3987", + "accept": false, + "reason": "Different docs snippets for different pipelines; no shared fix." + }, + { + "left": "pull_request:2846", + "right": "pull_request:3989", + "accept": false, + "reason": "Separate slow-test fixes in different pipelines and files." + }, + { + "left": "pull_request:2935", + "right": "pull_request:3119", + "accept": false, + "reason": "RePaint docs typo vs interface example update; different doc edits." + }, + { + "left": "pull_request:353", + "right": "pull_request:948", + "accept": false, + "reason": "Both are typo fixes, but in different pipeline/model files and unrelated contexts." + }, + { + "left": "pull_request:395", + "right": "pull_request:679", + "accept": false, + "reason": "Same file, but different refactors in separate methods; not one underlying bug or change." + }, + { + "left": "pull_request:4145", + "right": "pull_request:4175", + "accept": false, + "reason": "UnCLIP draft cleanup vs ControlNet WebDataset training example; unrelated changes." + }, + { + "left": "pull_request:4472", + "right": "pull_request:4540", + "accept": false, + "reason": "Both edit the DreamBooth SDXL README, but they address different documentation additions/removals." + }, + { + "left": "pull_request:4495", + "right": "pull_request:5844", + "accept": false, + "reason": "SDXL reference community script vs Japanese SDXL reference docs; different artifacts and purposes." + }, + { + "left": "pull_request:4652", + "right": "pull_request:4797", + "accept": false, + "reason": "SDXL LoRA tests vs LoRA loader block-mapping logic; not the same bug." + }, + { + "left": "pull_request:5051", + "right": "pull_request:6122", + "accept": false, + "reason": "A Wuerstchen-specific docs typo PR vs a broad docs typo sweep; different scope and edits." + }, + { + "left": "pull_request:5065", + "right": "pull_request:5332", + "accept": false, + "reason": "Attention-processor typo sweep vs DreamBooth LoRA description typo; unrelated changes." + }, + { + "left": "pull_request:5066", + "right": "pull_request:5332", + "accept": false, + "reason": "Prompt-to-prompt/attention_processor cleanup vs DreamBooth LoRA comment fix; different code paths." + }, + { + "left": "pull_request:5411", + "right": "pull_request:7472", + "accept": false, + "reason": "Textual inversion broken training link vs examples README broken link; different docs issues." + }, + { + "left": "pull_request:6775", + "right": "pull_request:6837", + "accept": false, + "reason": "DDPM scheduler parameter docs vs I2VGenXL doc import ordering; unrelated." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7425", + "accept": false, + "reason": "DDPM scheduler docs vs PEFT tutorial output-image snippet; different documentation changes." + }, + { + "left": "pull_request:688", + "right": "pull_request:715", + "accept": false, + "reason": "Both are import-guard fixes, but for different modules and missing dependencies." + }, + { + "left": "pull_request:8470", + "right": "pull_request:8775", + "accept": false, + "reason": "MaPO project README rewrite vs SD3 Colab link update; different content." + }, + { + "left": "pull_request:8923", + "right": "pull_request:8946", + "accept": false, + "reason": "CI workflow/debug changes vs a request-count assertion in model tests; unrelated." + }, + { + "left": "pull_request:326", + "right": "pull_request:333", + "accept": false, + "reason": "Type-hint cleanup in different pipelines; same style, 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": 265, + "review_unit_index": 254, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10323", + "pull_request:1087", + "pull_request:11438", + "pull_request:11473", + "pull_request:11512", + "pull_request:11537", + "pull_request:11737", + "pull_request:1210", + "pull_request:1218", + "pull_request:12265", + "pull_request:12288", + "pull_request:12526", + "pull_request:12705", + "pull_request:1277", + "pull_request:12915", + "pull_request:13217", + "pull_request:1324", + "pull_request:1510", + "pull_request:1582", + "pull_request:1583", + "pull_request:1713", + "pull_request:2007", + "pull_request:2608", + "pull_request:3286", + "pull_request:3313", + "pull_request:4099", + "pull_request:433", + "pull_request:4862", + "pull_request:5506", + "pull_request:5982", + "pull_request:6065", + "pull_request:6216", + "pull_request:6291", + "pull_request:6299", + "pull_request:6300", + "pull_request:6301", + "pull_request:6308", + "pull_request:6907", + "pull_request:7118", + "pull_request:7131", + "pull_request:718", + "pull_request:7301", + "pull_request:7613", + "pull_request:774", + "pull_request:7747", + "pull_request:9077", + "pull_request:9739" + ], + "soft_pairs": [ + "pull_request:7118|pull_request:7131", + "pull_request:3286|pull_request:3313", + "pull_request:10323|pull_request:11473", + "pull_request:11438|pull_request:11737", + "pull_request:5982|pull_request:6065", + "pull_request:7301|pull_request:7747", + "pull_request:4099|pull_request:4862", + "pull_request:5506|pull_request:6308", + "pull_request:12915|pull_request:13217", + "pull_request:11512|pull_request:11537", + "pull_request:6216|pull_request:6291", + "pull_request:6907|pull_request:7613", + "pull_request:12288|pull_request:12526", + "pull_request:2608|pull_request:718", + "pull_request:6299|pull_request:6300", + "pull_request:6299|pull_request:6301", + "pull_request:6300|pull_request:6301", + "pull_request:9077|pull_request:9739", + "pull_request:1277|pull_request:1324", + "pull_request:1582|pull_request:1583", + "pull_request:1087|pull_request:774", + "pull_request:1210|pull_request:774", + "pull_request:1218|pull_request:1713", + "pull_request:12265|pull_request:12705", + "pull_request:1510|pull_request:1713", + "pull_request:2007|pull_request:433" + ], + "prepared_review_unit_hash": "a41b57f8abc61e5a6b0b6c095901eda004e6b15af4e3e04dd6dd45348e9effd3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 106578, + "estimated_input_tokens": 26645, + "estimated_eval_tokens": 53546 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of unrelated PRs. The only clear duplicate-like groups are the exact text-to-image training trio (6299/6300/6301) and the SDXL Turbo docs pair (5982/6065); the rest are similar-by-theme but not the same underlying change.", + "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:7118", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are docs typo fixes, but they touch different documentation areas and different edits; not the same underlying change." + }, + { + "left": "pull_request:3286", + "right": "pull_request:3313", + "accept": false, + "reason": "Both target torch.compile-related issues, but they fix different code paths and different breakages; too broad to treat as duplicates." + }, + { + "left": "pull_request:10323", + "right": "pull_request:11473", + "accept": false, + "reason": "Quantization docs in both cases, but one is a link fix in the overview and the other is a fp8 typo correction in torchao docs; unrelated changes." + }, + { + "left": "pull_request:11438", + "right": "pull_request:11737", + "accept": false, + "reason": "Both are LoRA training PRs, but one adds aspect-ratio bucketing and the other adds DeepSpeed support/save-hook fixes; not the same bug/change." + }, + { + "left": "pull_request:5982", + "right": "pull_request:6065", + "accept": true, + "reason": "Both are part of the same SDXL Turbo documentation addition, with 6065 extending the same docs/page set; they could plausibly be merged into one PR." + }, + { + "left": "pull_request:7301", + "right": "pull_request:7747", + "accept": false, + "reason": "Both are test fixes, but for different assertions and different behaviors; not the same underlying defect." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4862", + "accept": false, + "reason": "Both are SDXL-related, but they fix different bugs in different pipelines; broad subsystem overlap is not enough." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6308", + "accept": false, + "reason": "Both touch LoRA/PEFT test behavior, but they address different issues and are not the same concrete fix." + }, + { + "left": "pull_request:12915", + "right": "pull_request:13217", + "accept": false, + "reason": "Both add LTX2 support, but they are for different model generations/features (LTX 2.0 vs 2.3) and different code changes." + }, + { + "left": "pull_request:11512", + "right": "pull_request:11537", + "accept": false, + "reason": "Both add torch.compile coverage, but for different model tests and different targets; not duplicate changes." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6291", + "accept": false, + "reason": "Same test file, but one fixes PEFT key remapping and the other loosens an unfusion assertion; distinct bugs." + }, + { + "left": "pull_request:6907", + "right": "pull_request:7613", + "accept": false, + "reason": "Both standardize model-card generation, but for different training scripts and different content; not the same PR-worthy change." + }, + { + "left": "pull_request:12288", + "right": "pull_request:12526", + "accept": false, + "reason": "Both register new pipelines/models, but they are entirely different features (InfiniteTalk vs Wan Animate)." + }, + { + "left": "pull_request:2608", + "right": "pull_request:718", + "accept": false, + "reason": "Both are typo/doc cleanup, but they are different edits in different parts of the README and not the same underlying change." + }, + { + "left": "pull_request:6299", + "right": "pull_request:6300", + "accept": true, + "reason": "The diffs are effectively identical, changing the same two training scripts in the same way." + }, + { + "left": "pull_request:6299", + "right": "pull_request:6301", + "accept": true, + "reason": "The diffs are effectively identical, changing the same two training scripts in the same way." + }, + { + "left": "pull_request:6300", + "right": "pull_request:6301", + "accept": true, + "reason": "The diffs are effectively identical, changing the same two training scripts in the same way." + }, + { + "left": "pull_request:9077", + "right": "pull_request:9739", + "accept": false, + "reason": "Both are labeled typo fixes, but the content is unrelated: one edits training/tutorial docs, the other adds Stable Diffusion 3.5 documentation." + }, + { + "left": "pull_request:1277", + "right": "pull_request:1324", + "accept": false, + "reason": "Both concern quantization, but one is an INT8 docs addition and the other is an Optimum/Stable Diffusion quantization guide; not the same change." + }, + { + "left": "pull_request:1582", + "right": "pull_request:1583", + "accept": false, + "reason": "Both are RePaint/inpainting-related, but they change different code paths (scheduler math vs legacy pipeline timestep handling)." + }, + { + "left": "pull_request:1087", + "right": "pull_request:774", + "accept": 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different changes." + }, + { + "left": "pull_request:2007", + "right": "pull_request:433", + "accept": false, + "reason": "Both update Black-related formatting/versioning, but they are separate dependency bumps and different file sets, not 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": 1, + "component_count": 265, + "review_unit_index": 255, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10517", + "pull_request:10537", + "pull_request:10581", + "pull_request:10589", + "pull_request:10759", + "pull_request:10774", + "pull_request:12004", + "pull_request:12006", + "pull_request:12915", + "pull_request:13121", + "pull_request:2637", + "pull_request:2642", + "pull_request:2647", + "pull_request:2684", + "pull_request:2685", + "pull_request:2686", + "pull_request:2687", + "pull_request:2688", + "pull_request:2690", + "pull_request:2730", + "pull_request:2740", + "pull_request:2741", + "pull_request:2742", + "pull_request:2746", + "pull_request:2748", + "pull_request:2749", + "pull_request:2751", + "pull_request:2752", + "pull_request:2862", + "pull_request:2863", + "pull_request:2864", + "pull_request:2865", + "pull_request:2870", + "pull_request:2923", + "pull_request:2954", + "pull_request:327", + "pull_request:365", + "pull_request:3690", + "pull_request:3695", + "pull_request:4695", + "pull_request:5058", + "pull_request:5151", + "pull_request:7068", + "pull_request:7246", + "pull_request:7247", + "pull_request:7411", + "pull_request:9423", + "pull_request:9597" + ], + "soft_pairs": [ + "pull_request:2637|pull_request:2730", + "pull_request:2642|pull_request:2647", + 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"pull_request:2647|pull_request:2690", + "pull_request:2647|pull_request:2742", + "pull_request:2647|pull_request:2749", + "pull_request:2647|pull_request:2752", + "pull_request:2647|pull_request:2862", + "pull_request:2647|pull_request:2863", + "pull_request:2647|pull_request:2864", + "pull_request:2647|pull_request:2865", + "pull_request:2647|pull_request:2870", + "pull_request:2647|pull_request:2923", + "pull_request:2684|pull_request:2685", + "pull_request:2684|pull_request:2686", + "pull_request:2684|pull_request:2687", + "pull_request:2684|pull_request:2688", + "pull_request:2684|pull_request:2690", + "pull_request:2684|pull_request:2742", + "pull_request:2684|pull_request:2749", + "pull_request:2684|pull_request:2752", + "pull_request:2684|pull_request:2862", + "pull_request:2684|pull_request:2863", + "pull_request:2684|pull_request:2865", + "pull_request:2684|pull_request:2870", + "pull_request:2684|pull_request:2923", + "pull_request:7068|pull_request:7411", + "pull_request:10759|pull_request:10774", + "pull_request:12915|pull_request:13121", + "pull_request:10517|pull_request:10537", + "pull_request:12004|pull_request:12006", + "pull_request:2954|pull_request:4695", + "pull_request:7246|pull_request:7247", + "pull_request:5058|pull_request:5151", + "pull_request:2642|pull_request:2748", + "pull_request:2647|pull_request:2748", + "pull_request:2684|pull_request:2748", + "pull_request:9423|pull_request:9597", + "pull_request:10581|pull_request:10589", + "pull_request:3690|pull_request:3695", + "pull_request:327|pull_request:365" + ], + "prepared_review_unit_hash": "5ac782a47972f2e0ba4927f4ab27b4400e7bc4eb764bc4602f3ea7d6efb15c5b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 64, + "serialized_chars": 112211, + 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not the same change." + }, + { + "left": "pull_request:2954", + "right": "pull_request:4695", + "accept": false, + "reason": "Both are TextToVideoZero-related, but one adds the base pipeline and the other adds SDXL support; separate changes." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7247", + "accept": false, + "reason": "One is a VAE tiling test fix and the other is a config-checking test fix; different issues." + }, + { + "left": "pull_request:5058", + "right": "pull_request:5151", + "accept": false, + "reason": "Both concern PEFT, but one integrates the text encoder path and the other integrates UNet support; not the same concrete fix." + }, + { + "left": "pull_request:2642", + "right": "pull_request:2748", + "accept": false, + "reason": "Unrelated docs changes; no shared bug/change." + }, + { + "left": "pull_request:2647", + "right": "pull_request:2748", + "accept": false, + "reason": "Different docs page and different wording fix." + }, + { + "left": "pull_request:2684", + "right": "pull_request:2748", + "accept": false, + "reason": "Separate docs typo fix; not a duplicate." + }, + { + "left": "pull_request:9423", + "right": "pull_request:9597", + "accept": false, + "reason": "Both are community image-to-image additions, but they target different models and different pipelines; not the same change." + }, + { + "left": "pull_request:10517", + "right": "pull_request:10537", + "accept": true, + "reason": "Both are the same Sana 4K PAG pipeline bug fix; 10537 contains the concrete patch and is the stronger version of the same change." + }, + { + "left": "pull_request:10581", + "right": "pull_request:10589", + "accept": false, + "reason": "Same SD3 IP-Adapter feature area, but inpaint and img2img are different pipelines and different code paths." + }, + { + "left": "pull_request:3690", + "right": "pull_request:3695", + "accept": true, + "reason": "Both fix the same Kandinsky example/docstring issue in the same pipeline code path; 3695 is the broader follow-up and can plausibly subsume 3690." + }, + { + "left": "pull_request:327", + "right": "pull_request:365", + "accept": false, + "reason": "Type-hint cleanups in unrelated modules; 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": 265, + "review_unit_index": 256, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1041", + "pull_request:1087", + "pull_request:11096", + "pull_request:12004", + "pull_request:12006", + "pull_request:12024", + "pull_request:1210", + "pull_request:1219", + "pull_request:13039", + "pull_request:13042", + "pull_request:13275", + "pull_request:13293", + "pull_request:13442", + "pull_request:17", + "pull_request:1724", + "pull_request:21", + "pull_request:2137", + "pull_request:2138", + "pull_request:2175", + "pull_request:2197", + "pull_request:22", + "pull_request:2208", + "pull_request:2271", + "pull_request:2415", + "pull_request:2464", + "pull_request:260", + "pull_request:2608", + "pull_request:2624", + "pull_request:3066", + "pull_request:3470", + "pull_request:353", + "pull_request:3942", + "pull_request:396", + "pull_request:407", + "pull_request:429", + "pull_request:4320", + "pull_request:500", + "pull_request:5552", + "pull_request:6952", + "pull_request:6978", + "pull_request:7068", + "pull_request:718", + "pull_request:7627", + "pull_request:774", + "pull_request:798", + "pull_request:8467", + "pull_request:8572", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:12006|pull_request:12024", + "pull_request:7068|pull_request:8572", + "pull_request:13039|pull_request:13042", + "pull_request:6952|pull_request:6978", + "pull_request:2415|pull_request:2464", + "pull_request:7627|pull_request:8467", + "pull_request:5552|pull_request:7627", + "pull_request:12004|pull_request:12024", + "pull_request:1041|pull_request:774", + "pull_request:1087|pull_request:3066", + "pull_request:11096|pull_request:9760", + "pull_request:1210|pull_request:3066", + "pull_request:1219|pull_request:396", + "pull_request:13275|pull_request:13293", + "pull_request:13275|pull_request:13442", + "pull_request:17|pull_request:718", + "pull_request:1724|pull_request:2208", + "pull_request:21|pull_request:22", + "pull_request:2137|pull_request:2608", + "pull_request:2137|pull_request:718", + "pull_request:2138|pull_request:260", + "pull_request:2138|pull_request:353", + "pull_request:2138|pull_request:407", + "pull_request:2138|pull_request:798", + "pull_request:2175|pull_request:2624", + "pull_request:2175|pull_request:3470", + "pull_request:2175|pull_request:429", + "pull_request:2175|pull_request:500", + "pull_request:2197|pull_request:4320", + "pull_request:2271|pull_request:3066", + "pull_request:2271|pull_request:3942" + ], + "prepared_review_unit_hash": "d34876db448f3e9a394b3fc76b37ec010d42d4ae60b11ffc7d70f4df39237bbd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 96204, + "estimated_input_tokens": 24051, + "estimated_eval_tokens": 48358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly unrelated docs, typo, test, and feature follow-up PRs. 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not the same underlying change." + }, + { + "left": "pull_request:2642", + "right": "pull_request:2730", + "accept": false, + "reason": "Separate docs fixes in different documents; not a duplicate change." + }, + { + "left": "pull_request:2647", + "right": "pull_request:2730", + "accept": false, + "reason": "Separate docs fixes in different documents; not a duplicate change." + }, + { + "left": "pull_request:2684", + "right": "pull_request:2730", + "accept": false, + "reason": "Separate docs fixes in different documents; not a duplicate change." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3798", + "accept": false, + "reason": "ControlNet dataset-loading change vs. training comment cleanup; unrelated patches." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 260, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:102", + "pull_request:11588", + "pull_request:11726", + "pull_request:12069", + "pull_request:121", + "pull_request:12416", + "pull_request:12454", + "pull_request:12490", + "pull_request:12584", + "pull_request:12634", + "pull_request:12782", + "pull_request:13039", + "pull_request:13042", + "pull_request:13293", + "pull_request:13424", + "pull_request:13442", + "pull_request:154", + "pull_request:3214", + "pull_request:356", + "pull_request:3607", + "pull_request:4546", + "pull_request:4621", + "pull_request:4749", + "pull_request:4822", + "pull_request:4947", + "pull_request:4984", + "pull_request:5164", + "pull_request:5188", + "pull_request:5552", + "pull_request:5615", + "pull_request:5768", + "pull_request:6276", + "pull_request:6346", + "pull_request:6433", + "pull_request:6485", + "pull_request:7062", + "pull_request:7247", + "pull_request:7353", + "pull_request:7746", + "pull_request:7825", + "pull_request:7934", + "pull_request:8467", + "pull_request:8631", + "pull_request:8797", + "pull_request:8798", + "pull_request:9060", + "pull_request:9206", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:3214|pull_request:3607", + "pull_request:4546|pull_request:4822", + "pull_request:4984|pull_request:6485", + "pull_request:5768|pull_request:7746", + "pull_request:6276|pull_request:6433", + "pull_request:7247|pull_request:7934", + "pull_request:7247|pull_request:8797", + "pull_request:9206|pull_request:9696", + "pull_request:12782|pull_request:13293", + "pull_request:12782|pull_request:13442", + "pull_request:13039|pull_request:13293", + "pull_request:13039|pull_request:13442", + "pull_request:4621|pull_request:4947", + "pull_request:4749|pull_request:5615", + "pull_request:5164|pull_request:5552", + "pull_request:7062|pull_request:8467", + "pull_request:7353|pull_request:9060", + "pull_request:12069|pull_request:12490", + "pull_request:154|pull_request:356", + "pull_request:7247|pull_request:9206", + "pull_request:12416|pull_request:12454", + "pull_request:13042|pull_request:13424", + "pull_request:7825|pull_request:8797", + "pull_request:5188|pull_request:6346", + "pull_request:8631|pull_request:8798", + "pull_request:12584|pull_request:12634", + "pull_request:12490|pull_request:13042", + "pull_request:11588|pull_request:11726", + "pull_request:102|pull_request:121" + ], + "prepared_review_unit_hash": "b2d891246841ff7e3c54fb5179f403d1d460928524ff01f0df85fc95b944e935", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 99922, + "estimated_input_tokens": 24981, + "estimated_eval_tokens": 50218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated PRs that only share broad subsystem or doc/test themes. I found no true duplicate pairs; the soft edges should be rejected. 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"Both edit the PR template, but they update different reviewer lines and are not the same change." + }, + { + "left": "pull_request:5768", + "right": "pull_request:7746", + "accept": false, + "reason": "One is doc cleanup, the other is a test dtype fix for consistency decoder." + }, + { + "left": "pull_request:6276", + "right": "pull_request:6433", + "accept": false, + "reason": "Different community pipelines/features with no shared underlying bug or change." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7934", + "accept": false, + "reason": "Config-checking tests vs single-file dict config loading are separate issues." + }, + { + "left": "pull_request:7247", + "right": "pull_request:8797", + "accept": false, + "reason": "Different test areas: single-file config handling vs sharded checkpoint loading." + }, + { + "left": "pull_request:9206", + "right": "pull_request:9696", + "accept": false, + "reason": "One fixes xformers tests; the other changes a workflow 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"right": "pull_request:5615", + "accept": false, + "reason": "Both involve SDXL LoRA loading, but one fixes checkpoint saving/loading and the other reverts a pipeline method; not the same bug." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5552", + "accept": false, + "reason": "FreeU mechanism introduction versus fixing disable_freeu cleanup are related but distinct changes." + }, + { + "left": "pull_request:7062", + "right": "pull_request:8467", + "accept": false, + "reason": "Docstring cleanup for Imagic is unrelated to SEGA pipeline execution fixes." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9060", + "accept": false, + "reason": "Adding FromSingleFileMixin to ControlNet SDXL img2img is unrelated to removing a debug print in Flux." + }, + { + "left": "pull_request:12069", + "right": "pull_request:12490", + "accept": false, + "reason": "Both touch AudioLDM2 tests, but they address different failures and different code changes." + }, + { + "left": "pull_request:154", + "right": "pull_request:356", + "accept": false, + "reason": "Early conversion-script addition versus training-example documentation/fine-tuning are not the same change." + }, + { + "left": "pull_request:7247", + "right": "pull_request:9206", + "accept": false, + "reason": "Different testing concerns and different files; only a broad \"tests\" overlap." + }, + { + "left": "pull_request:12416", + "right": "pull_request:12454", + "accept": false, + "reason": "Both add modular pipelines, but for different models and different concrete functionality." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13424", + "accept": false, + "reason": "QwenImage prompt-isolation fixes and AutoencoderDC test adjustments are unrelated." + }, + { + "left": "pull_request:7825", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are model tests, but one is CPU offload/device-map and the other is sharded checkpoint behavior." + }, + { + "left": "pull_request:5188", + "right": "pull_request:6346", + "accept": false, + "reason": "Training-utility SNR addition and LoRA state-dict conversion follow-up are separate training-example changes." + }, + { + "left": "pull_request:8631", + "right": "pull_request:8798", + "accept": false, + "reason": "Single-file T5 return fix is unrelated to loading sharded checkpoints from subfolders." + }, + { + "left": "pull_request:12584", + "right": "pull_request:12634", + "accept": false, + "reason": "Related SANA-Video work, but one adds initial inference support while the other adds image-to-video pipeline support." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13042", + "accept": false, + "reason": "AudioLDM2 test fixes and QwenImage prompt isolation are unrelated." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11726", + "accept": false, + "reason": "Both mention Wan LoRAs, but they fix different conversion/loading paths and different concrete problems." + }, + { + "left": "pull_request:102", + "right": "pull_request:121", + "accept": false, + "reason": "Both are README/example updates, but they cover different example sections and different training commands." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 261, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:102", + "pull_request:1020", + "pull_request:1077", + "pull_request:1162", + "pull_request:1182", + "pull_request:119", + "pull_request:1194", + "pull_request:120", + "pull_request:121", + "pull_request:1218", + "pull_request:12265", + "pull_request:12307", + "pull_request:12552", + "pull_request:12573", + "pull_request:12628", + "pull_request:12705", + "pull_request:12763", + "pull_request:12782", + "pull_request:12932", + "pull_request:13039", + "pull_request:13115", + "pull_request:13424", + "pull_request:1360", + "pull_request:1487", + "pull_request:15", + "pull_request:1510", + "pull_request:1610", + "pull_request:168", + "pull_request:1724", + "pull_request:1763", + "pull_request:1861", + "pull_request:1950", + "pull_request:2006", + "pull_request:2208", + "pull_request:2329", + "pull_request:252", + "pull_request:2624", + "pull_request:312", + "pull_request:3343", + "pull_request:3470", + "pull_request:356", + "pull_request:415", + "pull_request:429", + "pull_request:500", + "pull_request:61", + "pull_request:63", + "pull_request:75" + ], + "soft_pairs": [ + "pull_request:102|pull_request:1861", + "pull_request:102|pull_request:252", + "pull_request:1020|pull_request:415", + "pull_request:1077|pull_request:2329", + "pull_request:1162|pull_request:2006", + "pull_request:1162|pull_request:312", + "pull_request:1182|pull_request:1610", + "pull_request:119|pull_request:15", + "pull_request:1194|pull_request:2208", + "pull_request:120|pull_request:121", + "pull_request:120|pull_request:252", + "pull_request:1218|pull_request:61", + "pull_request:1218|pull_request:63", + "pull_request:12265|pull_request:12307", + "pull_request:12265|pull_request:13115", + "pull_request:12552|pull_request:12705", + "pull_request:12573|pull_request:12932", + "pull_request:12628|pull_request:12763", + "pull_request:12782|pull_request:13424", + "pull_request:13039|pull_request:13424", + "pull_request:1360|pull_request:168", + "pull_request:1487|pull_request:1724", + "pull_request:1487|pull_request:2208", + "pull_request:1487|pull_request:2624", + "pull_request:1487|pull_request:3470", + "pull_request:1487|pull_request:429", + "pull_request:1487|pull_request:500", + "pull_request:1510|pull_request:61", + "pull_request:1510|pull_request:63", + "pull_request:168|pull_request:356", + "pull_request:1763|pull_request:75", + "pull_request:1950|pull_request:3343" + ], + "prepared_review_unit_hash": "64c045ad0a4bd617336fa016a388b40633d2b868369f2a6442ed60a10420915c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 101136, + "estimated_input_tokens": 25284, + "estimated_eval_tokens": 50824 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity: many items are unrelated docs, tests, or small code tweaks that happen to share broad vocabulary like 'docs', 'examples', 'modular', or 'attention'. I do not see any pair that clearly targets the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out: the items are heterogeneous one-off docs, tests, workflow, and code updates rather than duplicate attempts at the same concrete fix.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a strong cluster representative because the set is not a true duplicate cluster; any choice would be arbitrary and misleading.", + "soft_edge_verdicts": [ + { + "left": "pull_request:102", + "right": "pull_request:1861", + "accept": false, + "reason": "Both touch examples/training docs, but one updates training example commands while the other changes loss computation in training scripts; different changes." + }, + { + "left": "pull_request:102", + "right": "pull_request:252", + "accept": false, + "reason": "Both are README/example updates, but they cover different sections and content; not the same concrete change." + }, + { + "left": "pull_request:1020", + "right": "pull_request:415", + "accept": false, + "reason": "Both are training docs refreshes, but they edit different doc sets and add different content; too broad to be one duplicate change." + }, + { + "left": "pull_request:1077", + "right": "pull_request:2329", + "accept": false, + "reason": "One refactors scheduler tests; the other refactors push-test workflows. Same testing theme, different artifacts and problems." + }, + { + "left": "pull_request:1162", + "right": "pull_request:2006", + "accept": false, + "reason": "Docs link fixes vs checkpoint merger logic; unrelated changes." + }, + { + "left": "pull_request:1162", + "right": "pull_request:312", + "accept": false, + "reason": "Both fix links in docs, but they target different files and link sets; not one underlying change." + }, + { + "left": "pull_request:1182", + "right": "pull_request:1610", + "accept": false, + "reason": "LPW docs update vs pipeline test changes; unrelated." + }, + { + "left": "pull_request:119", + "right": "pull_request:15", + "accept": false, + "reason": "Different bugfixes in unrelated files: a variable-name bug in hub utils vs a path-name fix in examples README." + }, + { + "left": "pull_request:1194", + "right": "pull_request:2208", + "accept": false, + "reason": "Docs-action workflow update vs xFormers docs update; no shared fix path." + }, + { + "left": "pull_request:120", + "right": "pull_request:121", + "accept": false, + "reason": "Both touch README example content, but 121 expands with code snippets on top of 120's section intro; incremental docs, not the same change." + }, + { + "left": "pull_request:120", + "right": "pull_request:252", + "accept": false, + "reason": "Both are README updates, but they address different example sections and content." + }, + { + "left": "pull_request:1218", + "right": "pull_request:61", + "accept": false, + "reason": "Different converter scripts for different pipelines; not the same bug/change." + }, + { + "left": "pull_request:1218", + "right": "pull_request:63", + "accept": false, + "reason": "Different converter scripts and target pipelines; unrelated." + }, + { + "left": "pull_request:12265", + "right": "pull_request:12307", + "accept": false, + "reason": "Typos/docs cleanup versus modular pipeline code changes; only superficial overlap in touched files." + }, + { + "left": "pull_request:12265", + "right": "pull_request:13115", + "accept": false, + "reason": "Typos/docs cleanup vs modular import/export changes; not the same underlying change." + }, + { + "left": "pull_request:12552", + "right": "pull_request:12705", + "accept": false, + "reason": "Both are typo fixes, but in different docs/files and with different edits; 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not one concrete doc fix." + }, + { + "left": "pull_request:5250", + "right": "pull_request:5911", + "accept": false, + "reason": "DDPO docs entry vs. IP-Adapter Full support and docs; separate features." + }, + { + "left": "pull_request:531", + "right": "pull_request:774", + "accept": false, + "reason": "GPU attention/spatial transformer test fix vs. callback assertion tolerance change; different test failures." + }, + { + "left": "pull_request:5407", + "right": "pull_request:6759", + "accept": false, + "reason": "Mixed-precision training example fix vs. InstantID prompt embedding repetition bug; different code paths." + }, + { + "left": "pull_request:5723", + "right": "pull_request:5727", + "accept": false, + "reason": "LCM docs vs. LCM scripts; related feature area, but not the same artifact or fix." + }, + { + "left": "pull_request:580", + "right": "pull_request:824", + "accept": false, + "reason": "Flax scheduler test work vs. Flax pipeline test work; same platform, different changes." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6466", + "accept": false, + "reason": "Both touch SVD docs, but they fix different doc issues and do not look like the same PR split in two." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6475", + "accept": false, + "reason": "SVD docs cleanup vs. SVD pipeline VAE type annotation fix; 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different documentation sets." + }, + { + "left": "pull_request:7564", + "right": "pull_request:8656", + "accept": false, + "reason": "Pipeline test cleanup vs. shard-checkpoint/model-loading fix; different problem domains." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 264, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 loose collection of unrelated docs, test, and feature PRs. I only see one true duplicate-like pair: the two AudioLDM2 compatibility fixes that both touch the same cache-position code path. Everything else is too broad or too different to merge as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the whole cluster; the items are heterogeneous and mostly unrelated.", + "best_issue_reason": null, + "best_pr_reason": "PR 12069 is the strongest representative of the only near-duplicate change here: it updates the same AudioLDM2 language-model cache-position logic as 11522 and includes the corresponding test adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7825", + "right": "pull_request:9206", + "accept": false, + "reason": "Different test areas and failures: generic model offload/device-map tests vs xformers-forward tests in several pipelines." + }, + { + "left": "pull_request:7977", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are tiny test/doc fixes, but they address unrelated typos in different files and subsystems." + }, + { + "left": "pull_request:800", + "right": "pull_request:971", + "accept": false, + "reason": "Both involve community examples, but they add different models/pipelines (VQ Diffusion vs Bit Diffusion) and are not the same change." + }, + { + "left": "pull_request:8498", + "right": "pull_request:8845", + "accept": false, + "reason": "A Stable Diffusion 3 doc typo fix is unrelated to typo fixes in PAG tests." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12069", + "accept": true, + "reason": "Same AudioLDM2 code path: both adjust generate_language_model cache-position handling for transformers compatibility, and 12069 is a direct follow-up refinement with tests." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13442", + "accept": false, + "reason": "Different AudioLDM2-related test fixes with no shared bug or code path." + }, + { + "left": "pull_request:327", + "right": "pull_request:343", + "accept": false, + "reason": "Both are type-hint cleanups, but for different components (PNDM pipeline vs DDIM scheduler) and unrelated changes." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3471", + "accept": false, + "reason": "Both touch DreamBooth docs, but they add different notes and are not the same underlying change." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4666", + "accept": false, + "reason": "Both mention SDXL/LoRA, but one is DreamBooth training fixes and the other is ControlNet LoRA support; different code paths and goals." + }, + { + "left": "pull_request:11428", + "right": "pull_request:11546", + "accept": false, + "reason": "Framepack implementation vs PEFT loader support for the Framepack transformer are related names, but not the same concrete bug/change." + }, + { + "left": "pull_request:2001", + "right": "pull_request:2062", + "accept": false, + "reason": "ColossalAI example typo fix and Paint-by-Example CPU offload fix are unrelated." + }, + { + "left": "pull_request:4749", + "right": "pull_request:5201", + "accept": false, + "reason": "Both concern LoRA, but one fixes SDXL DreamBooth checkpointing and the other fixes xformers/LoRA attention behavior." + }, + { + "left": "pull_request:6645", + "right": "pull_request:6759", + "accept": false, + "reason": "A community README cleanup and an InstantID pipeline fix are unrelated." + }, + { + "left": "pull_request:13275", + "right": "pull_request:13469", + "accept": false, + "reason": "Hunyuan test kwargs fix vs deprecated attention-processor test handling are unrelated test changes." + }, + { + "left": "pull_request:5639", + "right": "pull_request:7024", + "accept": false, + "reason": "Both are AnimateDiff docs, but they document different features (Motion LoRAs vs AnimateLCM) and are not duplicates." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9086", + "accept": false, + "reason": "Training-script tag additions are unrelated to Flux DreamBooth/LoRA training script work." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9597", + "accept": false, + "reason": "Community README updates and Aurora Flow differential diffusion are different changes, not the same bug or feature." + }, + { + "left": "pull_request:130", + "right": "pull_request:1564", + "accept": false, + "reason": "Both mention accelerate setup in docs, but one is a general examples README note and the other is a DreamBooth-specific default-config note." + }, + { + "left": "pull_request:2693", + "right": "pull_request:788", + "accept": false, + "reason": "An inpaint image-link fix and PIL sampler warning fixes are unrelated." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5201", + "accept": false, + "reason": "Different LoRA issues: unfuse/state_dict behavior vs xformers attention processor compatibility." + }, + { + "left": "pull_request:8913", + "right": "pull_request:9506", + "accept": false, + "reason": "Checkpoint shard loading from subfolder and a docs/import fix are unrelated." + }, + { + "left": "pull_request:10858", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are docs link tweaks, but they change different pages and targets." + }, + { + "left": "pull_request:2172", + "right": "pull_request:2595", + "accept": false, + "reason": "Multi-GPU validation logic and scheduler switch/config behavior are unrelated." + }, + { + "left": "pull_request:2406", + "right": "pull_request:2490", + "accept": false, + "reason": "Same documentation page, but one is a prose/toc nit and the other adds a new MultiDiffusion section; 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": 265, + "review_unit_index": 265, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11353", + "pull_request:11479", + "pull_request:11726", + "pull_request:11728", + "pull_request:12006", + "pull_request:12041", + "pull_request:1229", + "pull_request:1527", + "pull_request:154", + "pull_request:1564", + "pull_request:168", + "pull_request:2367", + "pull_request:2526", + "pull_request:2637", + "pull_request:2693", + "pull_request:2748", + "pull_request:3351", + "pull_request:3476", + "pull_request:3586", + "pull_request:3589", + "pull_request:3590", + "pull_request:3942", + "pull_request:3945", + "pull_request:4262", + "pull_request:4343", + "pull_request:4498", + "pull_request:4572", + "pull_request:4626", + "pull_request:4749", + "pull_request:4862", + "pull_request:5003", + "pull_request:5157", + "pull_request:5615", + "pull_request:5665", + "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", + "pull_request:4749|pull_request:6759", + "pull_request:7050|pull_request:7131", + "pull_request:7451|pull_request:9207", + "pull_request:11353|pull_request:11726", + "pull_request:11479|pull_request:11728", + "pull_request:1229|pull_request:1564", + "pull_request:1229|pull_request:2367", + "pull_request:1527|pull_request:2693", + "pull_request:154|pull_request:168" + ], + "prepared_review_unit_hash": "3f45092adaf155cba04e3f648dc48c62d477fbfc722f3ee4b99f74cf8496a68b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 97297, + "estimated_input_tokens": 24325, + "estimated_eval_tokens": 48906 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: mostly unrelated docs tweaks, test fixes, and feature PRs that only share broad subsystem names or generic wording. I only accept the one pair that clearly adds the same user-facing feature across closely related DreamBooth LoRA scripts.", + "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:2526", + "right": "pull_request:3942", + "accept": false, + "reason": "Both are test-only fixes, but they address different failures in different test files and do not share the same underlying bug." + }, + { + "left": "pull_request:2637", + "right": "pull_request:2748", + "accept": false, + "reason": "Both are documentation typo cleanups, but they are unrelated pages and separate fixes." + }, + { + "left": "pull_request:3945", + "right": "pull_request:4343", + "accept": true, + "reason": "Both add a `rank` argument to DreamBooth LoRA training scripts; this is the same feature change applied to closely related code paths." + }, + { + "left": "pull_request:4626", + "right": "pull_request:6342", + "accept": false, + "reason": "These are unrelated documentation changes in different areas; they do not fix the same issue." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5665", + "accept": false, + "reason": "Both touch ControlNet img2img, but one fixes MultiControlNet height/width handling while the other changes preprocessing input sizing; different bugs." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5157", + "accept": false, + "reason": "Both involve LoRA code, but one fixes fuse/unfuse logic and the other fixes Kohya/ControlNet LoRA conversion; separate problems." + }, + { + "left": "pull_request:5768", + "right": "pull_request:5828", + "accept": false, + "reason": "One is a docs fix and the other is a memory-related test tweak for the same model; not the same change or bug." + }, + { + "left": "pull_request:7246", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are test fixes, but they target different test scenarios and failures." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9696", + "accept": false, + "reason": "Completely unrelated: model device-map tests versus a workflow input validation fix." + }, + { + "left": "pull_request:7827", + "right": "pull_request:8230", + "accept": false, + "reason": "Both mention CPU offloading, but one only fixes a docstring/example while the other updates broad docs and examples; not the same concrete bug." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12041", + "accept": false, + "reason": "Both are Wan-related, but one adds Wan i2v support and the other fixes VAE patching; different code paths and goals." + }, + { + "left": "pull_request:3351", + "right": "pull_request:3476", + "accept": false, + "reason": "Same option name, but these are separate scheduler implementations with distinct integration work rather than one underlying bug/change." + }, + { + "left": "pull_request:3589", + "right": "pull_request:4498", + "accept": false, + "reason": "One is a README/reference-tricks doc update; the other adds an SDXL reference pipeline implementation. Not duplicates." + }, + { + "left": "pull_request:3586", + "right": "pull_request:3590", + "accept": false, + "reason": "Different community pipelines (tiling vs canvas); too broad to be the same underlying change." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5615", + "accept": false, + "reason": "Both affect SDXL/LoRA-adjacent code, but one is a bundle of DreamBooth fixes and the other reverts adapter LORA loading; unrelated." + }, + { + "left": "pull_request:4572", + "right": "pull_request:4749", + "accept": false, + "reason": "Both are LoRA-related, but one renames `network_alpha` handling in a text-to-image script while the other fixes SDXL DreamBooth checkpoint loading; separate bugs." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6759", + "accept": false, + "reason": "Unrelated: SDXL DreamBooth checkpointing versus InstantID prompt-image embedding repetition." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are typo/documentation cleanup PRs, but they cover different files and edits without a shared underlying issue." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9207", + "accept": false, + "reason": "Both mention CPU offloading usage, but the actual edits are broad doc/example sweeps in different areas; not the same concrete fix." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11726", + "accept": false, + "reason": "Both are Wan feature work, but one adds FLF2V support and the other expands LoRA conversion; distinct changes." + }, + { + "left": "pull_request:11479", + "right": "pull_request:11728", + "accept": false, + "reason": "Unrelated doc-only changes: Gaudi naming update versus adding quantization libraries to the doc builder image." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1564", + "accept": false, + "reason": "Different DreamBooth docs updates with different purposes; not the same bug or change." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2367", + "accept": false, + "reason": "Install docs for bitsandbytes versus training-script checkpoint limit support; unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:2693", + "accept": false, + "reason": "One changes inpainting tensor handling in code, the other fixes an image link in docs; not duplicates." + }, + { + "left": "pull_request:154", + "right": "pull_request:168", + "accept": false, + "reason": "A conversion script introduction and the initial Stable Diffusion pipeline release are fundamentally 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": 265, + "review_unit_index": 266, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 mostly superficial similarity matches across unrelated PRs. The shared signals are generally broad subsystems (docs, type hints, pipelines, tests) rather than the same concrete bug or change, so none of the soft edges should be merged.", + "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:154", + "right": "pull_request:98", + "accept": false, + "reason": "Both are checkpoint conversion scripts, but for different model families and different conversion logic. Same category, not the same change." + }, + { + "left": "pull_request:1554", + "right": "pull_request:2565", + "accept": false, + "reason": "Both are doc corrections, but they fix different model docs and different wording. No shared underlying bug/change." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3641", + "accept": false, + "reason": "Different code paths and failures: DDIM sample prediction fix vs inpainting latent handling. Not the same bug." + }, + { + "left": "pull_request:1951", + "right": "pull_request:3370", + "accept": false, + "reason": "One updates ColossalAI training code; the other updates PyTorch 2.0 docs. Unrelated." + }, + { + "left": "pull_request:2367", + "right": "pull_request:2928", + "accept": false, + "reason": "Checkpoint retention in training scripts is unrelated to ControlNet custom dataset loading." + }, + { + "left": "pull_request:2892", + "right": "pull_request:3446", + "accept": false, + "reason": "Upcaster/embed input handling in upscaler is unrelated to a pipeline loading warning-message tweak." + }, + { + "left": "pull_request:2892", + "right": "pull_request:3641", + "accept": false, + "reason": "Different inpainting/upscaler input bugs with no shared concrete fix." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4272", + "accept": false, + "reason": "Pipeline input validation and missing optional imports are unrelated changes." + }, + { + "left": "pull_request:2976", + "right": "pull_request:4856", + "accept": false, + "reason": "Both touch docs links, but they fix different pages and different broken references." + }, + { + "left": "pull_request:3568", + "right": "pull_request:5411", + "accept": false, + "reason": "Different documentation link fixes in different guides; not one duplicated doc change." + }, + { + "left": "pull_request:4621", + "right": "pull_request:6119", + "accept": false, + "reason": "Multi-adapter scale consistency and fp16 LoRA training stability are unrelated." + }, + { + "left": "pull_request:5090", + "right": "pull_request:6645", + "accept": false, + "reason": "Both are T2I-adapter/community-facing fixes, but they address different files and different issues." + }, + { + "left": "pull_request:5391", + "right": "pull_request:5759", + "accept": false, + "reason": "Both are broad docs/type-hint cleanups, but the scopes and file sets differ substantially; same theme is not enough." + }, + { + "left": "pull_request:7319", + "right": "pull_request:7857", + "accept": false, + "reason": "Both add docs pages, but for different features (EDM schedulers vs PixArt-Sigma)." + }, + { + "left": "pull_request:822", + "right": "pull_request:827", + "accept": false, + "reason": "Both touch Flax/Stable Diffusion plumbing, but one is scheduler API alignment and the other is pipeline registration/loading behavior." + }, + { + "left": "pull_request:10192", + "right": "pull_request:11655", + "accept": false, + "reason": "Flux Control Inpaint pipeline/docs vs Flux Control LoRA 8-bit support are different features, not one fix." + }, + { + "left": "pull_request:1269", + "right": "pull_request:2009", + "accept": false, + "reason": "Stable diffusion refactor and textual inversion loading are separate changes despite overlapping files." + }, + { + "left": "pull_request:1508", + "right": "pull_request:3471", + "accept": false, + "reason": "Both are DreamBooth docs changes, but they fix different training guidance issues." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5759", + "accept": false, + "reason": "Shared broad area of docs/type hints, but not the same underlying bug or patch set." + }, + { + "left": "pull_request:7200", + "right": "pull_request:7919", + "accept": false, + "reason": "Transformer norm input validation and device_map offload behavior are unrelated fixes." + }, + { + "left": "pull_request:10941", + "right": "pull_request:9676", + "accept": false, + "reason": "Flux pipeline copy fixes and an EntryNotFoundError import change are unrelated." + }, + { + "left": "pull_request:326", + "right": "pull_request:359", + "accept": false, + "reason": "Different scheduler/type-hint cleanup PRs for different classes; not the same change." + }, + { + "left": "pull_request:326", + "right": "pull_request:360", + "accept": false, + "reason": "Different scheduler/type-hint cleanup PRs for different classes; not the same change." + }, + { + "left": "pull_request:5898", + "right": "pull_request:6330", + "accept": false, + "reason": "Both are docs tweaks, but one rewrites unconditional image generation text and the other fixes SVD rendering/image URLs." + }, + { + "left": "pull_request:7246", + "right": "pull_request:9206", + "accept": false, + "reason": "VAE tiling test device handling and xformers test fixes are different test issues." + }, + { + "left": "pull_request:8797", + "right": "pull_request:9206", + "accept": false, + "reason": "Sharded checkpoint tests and xformers tests are unrelated test maintenance changes." + }, + { + "left": "pull_request:13121", + "right": "pull_request:13217", + "accept": false, + "reason": "Both are LTX-2 related, but one fixes a specific CFG/num_videos_per_prompt inference bug while the other adds LTX-2.3 model support and conversion changes. Different concrete 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": 265, + "review_unit_index": 267, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10539", + "pull_request:10810", + "pull_request:10983", + "pull_request:11066", + "pull_request:1136", + "pull_request:11635", + "pull_request:11704", + "pull_request:11739", + "pull_request:11744", + "pull_request:11856", + "pull_request:11897", + "pull_request:11997", + "pull_request:12006", + "pull_request:12490", + "pull_request:12523", + "pull_request:12611", + "pull_request:12782", + "pull_request:12982", + "pull_request:13002", + "pull_request:13039", + "pull_request:13055", + "pull_request:13208", + "pull_request:13223", + "pull_request:13275", + "pull_request:1508", + "pull_request:1525", + "pull_request:1982", + "pull_request:2001", + "pull_request:2322", + "pull_request:2339", + "pull_request:2691", + "pull_request:2693", + "pull_request:3546", + "pull_request:3607", + "pull_request:3632", + "pull_request:391", + "pull_request:416", + "pull_request:4294", + "pull_request:433", + "pull_request:5407", + "pull_request:6346", + "pull_request:6994", + "pull_request:7068", + "pull_request:774", + "pull_request:8571", + "pull_request:8631", + "pull_request:8992", + "pull_request:9423" + ], + "soft_pairs": [ + "pull_request:8992|pull_request:9423", + "pull_request:12490|pull_request:13275", + "pull_request:3546|pull_request:3632", + "pull_request:11739|pull_request:11744", + "pull_request:12490|pull_request:12782", + "pull_request:12490|pull_request:13039", + "pull_request:13039|pull_request:13055", + "pull_request:1508|pull_request:2339", + "pull_request:11997|pull_request:12611", + "pull_request:10539|pull_request:10810", + "pull_request:1136|pull_request:2001", + "pull_request:1136|pull_request:2693", + "pull_request:11704|pull_request:11856", + "pull_request:5407|pull_request:6346", + "pull_request:7068|pull_request:8571", + "pull_request:1982|pull_request:774", + "pull_request:10983|pull_request:11066", + "pull_request:12006|pull_request:12523", + "pull_request:1525|pull_request:3607", + "pull_request:6994|pull_request:8631", + "pull_request:13208|pull_request:13223", + "pull_request:11635|pull_request:11897", + "pull_request:2322|pull_request:433", + "pull_request:2691|pull_request:4294", + "pull_request:391|pull_request:416", + "pull_request:12982|pull_request:13002" + ], + "prepared_review_unit_hash": "43ab362e7866274b263c0f39546e90604f6c62bd93bb44619ff24bdcf3bf9a43", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 106153, + "estimated_input_tokens": 26539, + "estimated_eval_tokens": 53334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: it mixes unrelated feature, docs, and test PRs across different subsystems. I do not see a single canonical duplicate PR/issue for the whole set; most soft edges are near-matches at the subsystem level, not the same change.", + "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:8992", + "right": "pull_request:9423", + "accept": false, + "reason": "Same general idea (differential diffusion) but different models/pipelines and different code paths; not the same concrete change." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13275", + "accept": false, + "reason": "Both are test-only config fixes, but for different pipelines/models and unrelated failures." + }, + { + "left": "pull_request:3546", + "right": "pull_request:3632", + "accept": false, + "reason": "Both touch the panorama pipeline, but one is scheduler support and the other is view batching; distinct changes." + }, + { + "left": "pull_request:11739", + "right": "pull_request:11744", + "accept": false, + "reason": "Different DreamBooth example scripts and different issues; same area but not the same bug or patch." + }, + { + "left": "pull_request:12490", + "right": "pull_request:12782", + "accept": false, + "reason": "Unrelated test fixes for different model families." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13039", + "accept": false, + "reason": "Different tests and different model code; no shared underlying defect." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13055", + "accept": false, + "reason": "One fixes CPU upcasting in a transformer, the other fixes pipeline behavior when a transformer is missing; separate problems." + }, + { + "left": "pull_request:1508", + "right": "pull_request:2339", + "accept": false, + "reason": "Both are DreamBooth docs, but they address different topics; not the same documentation fix." + }, + { + "left": "pull_request:11997", + "right": "pull_request:12611", + "accept": false, + "reason": "Both are Wan modular-pipeline related, but one adds I2V/FLF2V support and the other is a broader modular refactor; not the same change." + }, + { + "left": "pull_request:10539", + "right": "pull_request:10810", + "accept": false, + "reason": "Flux true-CFG logic and LoRA support are unrelated fixes." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2001", + "accept": false, + "reason": "Different docs/example cleanup PRs with no shared bug or code path." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2693", + "accept": false, + "reason": "Both are small docs/example fixes, but for different files and issues." + }, + { + "left": "pull_request:11704", + "right": "pull_request:11856", + "accept": false, + "reason": "Same Wan/LoRA area, but one changes conversion heuristics and the other changes fuse_lora behavior; related but not duplicate." + }, + { + "left": "pull_request:5407", + "right": "pull_request:6346", + "accept": false, + "reason": "Different training-example precision/LoRA-related fixes, not the same underlying bug." + }, + { + "left": "pull_request:7068", + "right": "pull_request:8571", + "accept": false, + "reason": "Both are typo/style cleanup PRs, but they are not the same change." + }, + { + "left": "pull_request:1982", + "right": "pull_request:774", + "accept": false, + "reason": "Different test adjustments in different eras; no shared concrete defect." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11066", + "accept": false, + "reason": "Both concern HunyuanVideo I2V, but 11066 updates the model variant/name and does not look like the same concrete fix as 10983." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12523", + "accept": false, + "reason": "Wan 2.2 pipeline support vs AutoencoderKLWan skip-key handling are separate changes." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3607", + "accept": false, + "reason": "Batch-size handling in upscaling is unrelated to the attention/temb fix." + }, + { + "left": "pull_request:6994", + "right": "pull_request:8631", + "accept": false, + "reason": "Both are single-file loader fixes, but they target different loader paths and different bugs." + }, + { + "left": "pull_request:13208", + "right": "pull_request:13223", + "accept": false, + "reason": "Helios pipeline addition vs Helios context-parallelism fix are different changes." + }, + { + "left": "pull_request:11635", + "right": "pull_request:11897", + "accept": false, + "reason": "A Flux Kontext feature PR and a broad test-merge PR are not the same underlying change." + }, + { + "left": "pull_request:2322", + "right": "pull_request:433", + "accept": false, + "reason": "One is a textual inversion/example update, the other is a dependency/formatting update." + }, + { + "left": "pull_request:2691", + "right": "pull_request:4294", + "accept": false, + "reason": "Attention rename and SDXL naming updates are unrelated refactors." + }, + { + "left": "pull_request:391", + "right": "pull_request:416", + "accept": false, + "reason": "PNDM docs and model API docs are unrelated documentation PRs." + }, + { + "left": "pull_request:12982", + "right": "pull_request:13002", + "accept": false, + "reason": "Flux2 Klein example training support and modular pipeline support are different code paths and not mergeable 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": 1, + "component_count": 265, + "review_unit_index": 268, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 a mix of unrelated docs, tests, and feature PRs. None of the soft pairs look like the same underlying bug or change, so I rejected all of them.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate anchor here; the candidates span unrelated fixes, docs edits, tests, and feature work.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a safe global representative because the closest-looking pairs still target different code paths or different kinds of changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11571", + "right": "pull_request:11572", + "accept": false, + "reason": "LTX docs/model update vs LTX LoRA support; different features and code paths." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12523", + "accept": false, + "reason": "Wan I2V shape fix vs AutoencoderKLWan skip-key fix; separate bugs in different layers." + }, + { + "left": "pull_request:10105", + "right": "pull_request:10704", + "accept": false, + "reason": "Broken optimization-doc link fix vs img2img doc/example cleanup; unrelated documentation changes." + }, + { + "left": "pull_request:1338", + "right": "pull_request:689", + "accept": false, + "reason": "ONNX inpaint cast-order fix vs attention performance test change; unrelated subsystems." + }, + { + "left": "pull_request:1128", + "right": "pull_request:1926", + "accept": false, + "reason": "Tensor input support in inpaint vs OneFlow dev support for inpainting; different implementations and goals." + }, + { + "left": "pull_request:11366", + "right": "pull_request:11384", + "accept": false, + "reason": "Same file, but one changes transformer outputs while the other only moves deprecation versions; not the same change." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9065", + "accept": false, + "reason": "Community pipeline addition vs sentencepiece dependency support; unrelated changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4412", + "accept": false, + "reason": "Doc image-link fix vs float16 inference test fix; different artifact types and issues." + }, + { + "left": "pull_request:2968", + "right": "pull_request:4412", + "accept": false, + "reason": "Img2img post-processing bug fix vs float16 inference test fix; unrelated." + }, + { + "left": "pull_request:5098", + "right": "pull_request:6962", + "accept": false, + "reason": "Kandinsky precision test updates vs PixArt slow-test cleanup; different pipelines and problems." + }, + { + "left": "pull_request:12522", + "right": "pull_request:13454", + "accept": false, + "reason": "Toctree styling cleanup vs CLIP-related xfail markings; unrelated docs/test edits." + }, + { + "left": "pull_request:11726", + "right": "pull_request:12324", + "accept": false, + "reason": "Wan LoRA conversion support vs adding Wan2.2 VACE support; related family, but distinct features and code paths." + }, + { + "left": "pull_request:12315", + "right": "pull_request:13150", + "accept": false, + "reason": "Scheduler simplification in LoRA tests vs user-configurable recompile limit in compile tests; different test scaffolding." + }, + { + "left": "pull_request:3298", + "right": "pull_request:4242", + "accept": false, + "reason": "IF super-resolution aspect-ratio support vs single-file VAE loading support; unrelated functionality." + }, + { + "left": "pull_request:6489", + "right": "pull_request:6490", + "accept": false, + "reason": "StyleAligned community pipeline vs RAVE video editing pipeline; different community additions." + }, + { + "left": "pull_request:8322", + "right": "pull_request:9008", + "accept": false, + "reason": "Broad errata/docs sweep vs typo/whitespace cleanup; same general hygiene theme but not the same change." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7941", + "accept": false, + "reason": "Config-check test fix vs slow marker on single-file tests; unrelated test maintenance." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8761", + "accept": false, + "reason": "HiDream controlnet refactor vs Hunyuan embedding refactor; unrelated model code." + }, + { + "left": "pull_request:327", + "right": "pull_request:344", + "accept": false, + "reason": "PNDM pipeline type hints vs VAE model type hints; different files and changes." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5384", + "accept": false, + "reason": "Community tiling pipeline vs hypernetwork support; unrelated features." + }, + { + "left": "pull_request:2470", + "right": "pull_request:2959", + "accept": false, + "reason": "MPS test fixes vs UNet3D norm-group test fix; different test targets." + }, + { + "left": "pull_request:382", + "right": "pull_request:396", + "accept": false, + "reason": "DDPM docs vs DDIM docs; separate pipeline documentation." + }, + { + "left": "pull_request:382", + "right": "pull_request:416", + "accept": false, + "reason": "DDPM docs vs model docs; not the same artifact or change." + }, + { + "left": "pull_request:1926", + "right": "pull_request:1966", + "accept": false, + "reason": "OneFlow inpainting support vs Flax inpainting implementation; different frameworks and implementations." + }, + { + "left": "pull_request:6961", + "right": "pull_request:8452", + "accept": false, + "reason": "Single-file loader test additions vs a strict=False loading fix; one is tests, the other is behavior 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": 265, + "review_unit_index": 269, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10330", + "pull_request:10431", + "pull_request:10537", + "pull_request:10815", + "pull_request:11252", + "pull_request:11556", + "pull_request:11916", + "pull_request:11986", + "pull_request:12006", + "pull_request:12092", + "pull_request:12387", + "pull_request:12496", + "pull_request:12530", + "pull_request:12549", + "pull_request:12593", + "pull_request:12647", + "pull_request:12679", + "pull_request:12763", + "pull_request:12961", + "pull_request:13039", + "pull_request:13331", + "pull_request:13454", + "pull_request:1788", + "pull_request:1982", + "pull_request:2367", + "pull_request:2464", + "pull_request:2593", + "pull_request:2892", + "pull_request:3607", + "pull_request:3657", + "pull_request:3912", + "pull_request:4098", + "pull_request:4187", + "pull_request:4408", + "pull_request:4412", + "pull_request:4780", + "pull_request:5151", + "pull_request:6426", + "pull_request:6633", + "pull_request:6759", + "pull_request:6961", + "pull_request:7116", + "pull_request:7825", + "pull_request:802", + "pull_request:8937", + "pull_request:9676", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:4098|pull_request:4408", + "pull_request:11916|pull_request:12549", + "pull_request:12530|pull_request:13454", + "pull_request:2892|pull_request:4412", + "pull_request:4780|pull_request:5151", + "pull_request:2464|pull_request:3912", + "pull_request:12006|pull_request:12496", + "pull_request:10330|pull_request:10815", + "pull_request:10431|pull_request:10537", + "pull_request:11556|pull_request:12092", + "pull_request:11986|pull_request:12763", + "pull_request:12647|pull_request:13039", + "pull_request:12961|pull_request:13331", + "pull_request:1982|pull_request:802", + "pull_request:2367|pull_request:3657", + "pull_request:2593|pull_request:3657", + "pull_request:6633|pull_request:6961", + "pull_request:11252|pull_request:9696", + "pull_request:11916|pull_request:12387", + "pull_request:6426|pull_request:7116", + "pull_request:1788|pull_request:3607", + "pull_request:2367|pull_request:4187", + "pull_request:6759|pull_request:8937", + "pull_request:12593|pull_request:12679", + "pull_request:7825|pull_request:9676" + ], + "prepared_review_unit_hash": "3fb7467ed8cb740c76427b0a2cf2a665d55b238a55eca5e573971a853468a44f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99578, + "estimated_input_tokens": 24895, + "estimated_eval_tokens": 50046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, heterogeneous cluster of mostly unrelated PRs. Several pairs are in the same subsystem, but they are follow-up features, docs, or separate bug fixes rather than the same duplicate change.", + "confidence": 0.22, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5151 is the broadest foundational code change in the cluster, with the highest downstream reuse and many inbound references, so it is the best single representative even though the cluster is not truly cohesive.", + "best_issue_reason": null, + "best_pr_reason": "PR 5151 is the strongest cluster anchor: it is a large core integration change, touched many shared model/loader files, and has the most evidence of downstream dependence.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4098", + "right": "pull_request:4408", + "accept": false, + "reason": "Both are about SDXL inpainting, but one adds the feature and the other adds from_single_file support; related, not the same underlying change." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12549", + "accept": false, + "reason": "Shared attention backend area, but 11916 is a dispatcher/refactor and 12549 adds a new ROCm backend; different concrete changes." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13454", + "accept": false, + "reason": "Both xfail tests, but they cover different failures and different code paths; not duplicates." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4412", + "accept": false, + "reason": "Unrelated fixes: upscaler input validation vs. a float16 test setup issue." + }, + { + "left": "pull_request:4780", + "right": "pull_request:5151", + "accept": false, + "reason": "Both involve PEFT, but 5151 is a later broader integration cleanup rather than the same change as the draft PEFT integration." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3912", + "accept": false, + "reason": "Same training script, but different goals: one removes xformers logic, the other adds text-encoder finetuning." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12496", + "accept": false, + "reason": "Same Wan I2V pipeline, but one adds a model variant and the other fixes a latent shape bug; not the same bug/change." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10815", + "accept": false, + "reason": "Different features in the LTX/Enhance-A-Video space; not the same underlying implementation." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10537", + "accept": false, + "reason": "Both Sana-related, but one fixes positional embeddings and the other targets 4K pipeline behavior; separate changes." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12092", + "accept": false, + "reason": "Docs for regional compilation vs. GGUF checkpoint docs; completely different topics." + }, + { + "left": "pull_request:11986", + "right": "pull_request:12763", + "accept": false, + "reason": "Both modular pipeline work, but for different models (LTX vs Flux2) and different code paths." + }, + { + "left": "pull_request:12647", + "right": "pull_request:13039", + "accept": false, + "reason": "Both touch layerwise casting/upcasting tests, but they fix different model/test cases." + }, + { + "left": "pull_request:12961", + "right": "pull_request:13331", + "accept": false, + "reason": "Unrelated pipeline additions for different models." + }, + { + "left": "pull_request:1982", + "right": "pull_request:802", + "accept": false, + "reason": "One updates example tests, the other fixes documentation indentation; not duplicates." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3657", + "accept": false, + "reason": "Same controlnet conversion area, but 3657 is a follow-up CLI parsing tweak, not the same conversion feature." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3657", + "accept": false, + "reason": "Related controlnet conversion script changes, but 3657 is incremental argument parsing on top of 2593's converter work." + }, + { + "left": "pull_request:6633", + "right": "pull_request:6961", + "accept": false, + "reason": "Both touch checkpoint loading, but one fixes YAML reading and the other adds fast tests; not the same change." + }, + { + "left": "pull_request:11252", + "right": "pull_request:9696", + "accept": false, + "reason": "Workflow timeout tweak vs. PR test workflow input handling; different operational fixes." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12387", + "accept": false, + "reason": "Both affect attention backends, but one is the dispatcher refactor and the other adds a kernels-backed FlashAttention option." + }, + { + "left": "pull_request:6426", + "right": "pull_request:7116", + "accept": false, + "reason": "PEFT deprecation cleanup vs. CI workflow tooling; unrelated." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3607", + "accept": false, + "reason": "Different scheduler and attention fixes; no shared underlying bug." + }, + { + "left": "pull_request:2367", + "right": "pull_request:4187", + "accept": false, + "reason": "Training-script checkpoint limits vs. DPMSolver scheduler indexing; unrelated." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8937", + "accept": false, + "reason": "Different pipeline bug fixes in different models; not duplicates." + }, + { + "left": "pull_request:12593", + "right": "pull_request:12679", + "accept": false, + "reason": "ChronoEdit core pipeline vs. multiple-LoRA support; related feature area, but separate concrete changes." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9676", + "accept": false, + "reason": "Device-map test guard vs. import path cleanup; 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": 265, + "review_unit_index": 270, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "All candidates are pull requests, and the apparent similarities are mostly broad subsystem overlap (docs, tests, attention backends, modular pipelines) rather than the same concrete bug or change. I rejected every soft edge because none look mergeable into a single PR without conflating distinct work.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8652 is the strongest standalone canonical candidate: it is a large, self-contained feature addition with broad implementation and docs coverage, and it has very high review activity compared with the rest.", + "best_issue_reason": null, + "best_pr_reason": "PR #8652 is the best global PR representative because it is a substantial end-to-end feature PR, well-scoped and broadly integrated across model, pipeline, scheduler, and documentation code paths.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1913", + "right": "pull_request:3292", + "accept": false, + "reason": "Different changes: one validates img2img input types, the other adds input perturbation to a training script." + }, + { + "left": "pull_request:2327", + "right": "pull_request:2706", + "accept": false, + "reason": "Unrelated test speedup vs EMA save/restore in training; not the same underlying change." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3806", + "accept": false, + "reason": "ControlNet conversion support and a README checkpoint note are separate changes." + }, + { + "left": "pull_request:5665", + "right": "pull_request:6994", + "accept": false, + "reason": "Different code paths: ControlNet img2img preprocessing vs single-file torch_dtype propagation." + }, + { + "left": "pull_request:2919", + "right": "pull_request:2959", + "accept": false, + "reason": "Both touch the same test file, but one speeds up the test and the other changes norm-group coverage; distinct fixes." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7941", + "accept": false, + "reason": "VAE tiling device handling and a slow-test decorator are unrelated." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12454", + "accept": false, + "reason": "Both are modular-pipeline work, but they add different features for different models." + }, + { + "left": "pull_request:12934", + "right": "pull_request:12983", + "accept": false, + "reason": "LTX2 distilled checkpoint support and LTX2 single-file loading are separate feature tracks." + }, + { + "left": "pull_request:13208", + "right": "pull_request:13216", + "accept": false, + "reason": "Helios regular pipelines and Helios modular pipelines are distinct implementations, not one concrete change." + }, + { + "left": "pull_request:13216", + "right": "pull_request:13223", + "accept": false, + "reason": "Modular Helios feature work vs a context-parallelism fix; different underlying changes." + }, + { + "left": "pull_request:10330", + "right": "pull_request:11174", + "accept": false, + "reason": "Different LTX versions and different pipeline changes; not the same bug or change." + }, + { + "left": "pull_request:12644", + "right": "pull_request:13158", + "accept": false, + "reason": "Unrelated docs additions for AutoModel and QwenImageLayeredPipeline." + }, + { + "left": "pull_request:382", + "right": "pull_request:391", + "accept": false, + "reason": "DDPM and PNDM docs are separate pipeline pages, not a duplicate change." + }, + { + "left": "pull_request:386", + "right": "pull_request:392", + "accept": false, + "reason": "Stable Diffusion docs and contribution docs are entirely different documentation work." + }, + { + "left": "pull_request:386", + "right": "pull_request:404", + "accept": false, + "reason": "Both involve docs, but they target different guides and different code edits." + }, + { + "left": "pull_request:386", + "right": "pull_request:417", + "accept": false, + "reason": "Stable Diffusion docs vs general inference guide; unrelated content." + }, + { + "left": "pull_request:390", + "right": "pull_request:392", + "accept": false, + "reason": "Apple Silicon MPS docs and contribution docs are unrelated." + }, + { + "left": "pull_request:390", + "right": "pull_request:404", + "accept": false, + "reason": "MPS optimization docs and fp16 memory/speed docs are different optimization topics." + }, + { + "left": "pull_request:390", + "right": "pull_request:417", + "accept": false, + "reason": "MPS hardware guide and general pipeline docs are not the same change." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7200", + "accept": false, + "reason": "PEFT/xformers attention fix and Transformers2D layernorm validation are different bug fixes." + }, + { + "left": "pull_request:10537", + "right": "pull_request:10538", + "accept": false, + "reason": "Sana-4K pipeline adjustments and adding Sana to auto-pipeline are related feature work but not the same change." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9251", + "accept": false, + "reason": "Offload test tweaks and CI trigger changes are unrelated." + }, + { + "left": "pull_request:1878", + "right": "pull_request:2593", + "accept": false, + "reason": "Stable Diffusion checkpoint parsing fix and ControlNet conversion support are separate converter changes." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5837", + "accept": false, + "reason": "Single-file VAE loading and multi-token textual inversion are unrelated loader features." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5837", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes and textual inversion token support are not the same underlying issue." + }, + { + "left": "pull_request:4963", + "right": "pull_request:5615", + "accept": false, + "reason": "CI/accelerate install changes and SDXL adapter LoRA revert are unrelated." + }, + { + "left": "pull_request:6764", + "right": "pull_request:8652", + "accept": false, + "reason": "PEFT serialization guidance and the Lumina-T2X feature PR are different scopes." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8512", + "accept": false, + "reason": "Deprecation cleanup in to() calls and removal of a deprecated inpaint helper are separate refactors." + }, + { + "left": "pull_request:12387", + "right": "pull_request:12549", + "accept": false, + "reason": "Both touch attention backends, but they add different backends with different implementations." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 265, + "review_unit_index": 271, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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", + 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"9041fbce2db5fbf72e3360aa35456bf9345590e5245113fb7fa6f240c5677dd7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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 a grab-bag of mostly unrelated PRs across features, docs, tests, and CI. 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Different changes." + }, + { + "left": "pull_request:5053", + "right": "pull_request:6743", + "accept": false, + "reason": "Different training-script argument bugs in different example projects." + }, + { + "left": "pull_request:5665", + "right": "pull_request:7627", + "accept": false, + "reason": "Both affect img2img-related code, but one passes height/width to preprocessing while the other adds Playground-specific latent normalization handling." + }, + { + "left": "pull_request:5788", + "right": "pull_request:7200", + "accept": false, + "reason": "Different scheduler/model validation fixes; not the same bug or code path." + }, + { + "left": "pull_request:6426", + "right": "pull_request:8512", + "accept": false, + "reason": "Both are deprecation cleanup-related, but they affect different deprecated APIs and subsystems." + }, + { + "left": "pull_request:10063", + "right": "pull_request:10105", + "accept": false, + "reason": "Both are docs nits, but they fix different documentation pages and different issues." + }, + { + "left": "pull_request:10245", + "right": "pull_request:8684", + "accept": false, + "reason": "Different doc-only fixes in unrelated areas; not a duplicate change." + }, + { + "left": "pull_request:3160", + "right": "pull_request:3351", + "accept": false, + "reason": "Both add Karras sigmas support, but to different schedulers; they are parallel feature ports, not the same PR." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8797", + "accept": false, + "reason": "CI workflow fix versus test sharding fix; unrelated changes." + }, + { + "left": "pull_request:7113", + "right": "pull_request:7938", + "accept": false, + "reason": "Both touch Docker CI notifications, but one adds Slack reporting and the other swaps in hf-workflows; different fixes." + }, + { + "left": "pull_request:11613", + "right": "pull_request:11614", + "accept": false, + "reason": "A revert of torch.compile CI changes is unrelated to a Docker CI security fix." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13454", + "accept": false, + "reason": "A test-only ClapConfig fix and CLIP-related xfails are unrelated test adjustments." + }, + { + "left": "pull_request:10136", + "right": "pull_request:10983", + "accept": false, + "reason": "Same Hunyuan Video family, but one introduces the base pipeline and the other adds I2V support; distinct feature PRs." + }, + { + "left": "pull_request:11001", + "right": "pull_request:11058", + "accept": false, + "reason": "Both adjust testing infrastructure, but one enables xpu bnb tests and the other makes CUDA-only tests device-agnostic." + }, + { + "left": "pull_request:2915", + "right": "pull_request:4412", + "accept": false, + "reason": "Different test fixes in different areas; no shared underlying bug." + }, + { + "left": "pull_request:11231", + "right": "pull_request:11660", + "accept": false, + "reason": "A full HiDream image feature PR versus a WIP HiDream LoRA support PR are separate efforts." + }, + { + "left": "pull_request:9049", + "right": "pull_request:9159", + "accept": false, + "reason": "One fixes Flux prompt encoding when called separately; the other enables sharding of the Flux transformer. Different problems." + }, + { + "left": "pull_request:6752", + "right": "pull_request:7359", + "accept": false, + "reason": "Two unrelated community example additions: PromptDiffusion versus ResAdapter." + }, + { + "left": "pull_request:10148", + "right": "pull_request:11269", + "accept": false, + "reason": "OmniGen feature addition versus ONNX runtime package availability changes 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": 265, + "review_unit_index": 272, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": 7643, + "serialized_chars": 8717915, + "estimated_input_tokens": 2179479, + "estimated_eval_tokens": 4359214 + }, + "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": "This cluster does not contain a true duplicate set. 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Not the same underlying fix." + }, + { + "left": "pull_request:1878", + "right": "pull_request:3806", + "accept": false, + "reason": "The first fixes checkpoint loading logic in a conversion script; the second only adds a README note about loading from training checkpoints. Documentation vs code-path fix." + }, + { + "left": "pull_request:2892", + "right": "pull_request:3298", + "accept": false, + "reason": "Different pipelines and different problems: upscaler input/embed validation versus DeepFloyd IF arbitrary aspect ratio support. Not mergeable as one PR." + }, + { + "left": "pull_request:3586", + "right": "pull_request:3589", + "accept": false, + "reason": "Both are community/example-related, but one adds a new tiling pipeline example and the other updates README text for reference tricks. Separate changes." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5672", + "accept": false, + "reason": "A new community pipeline example is unrelated to PixArt non-square image support in core transformer logic and tests." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6450", + "accept": false, + "reason": "LoRA checkpoint-loading behavior for SDXL training is unrelated to a test refactor/deprecation cleanup in old LoRA backend tests." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8719", + "accept": false, + "reason": "Both mention deprecation cleanup, but they target different APIs and files: `to(dtype=...)` churn across conversion/pipeline code versus VQModelOutput doc deprecation. Not the same bug/change." + }, + { + "left": "pull_request:7116", + "right": "pull_request:8386", + "accept": false, + "reason": "Workflow dependency installation with uv is unrelated to model test helper changes for output shapes. Different subsystem and purpose." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are thematically related by optimization/hook infrastructure, but they are not duplicates: TorchAO quantization, Pyramid Attention Broadcast, FasterCache, and Layerwise Upcasting are distinct changes with different code paths and goals. No soft edges should be accepted.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are separate feature PRs in the same optimization area, not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for deduplication; 9562 is only the earliest/broadest infra PR, but it does not represent the other distinct features.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10009", + "right": "pull_request:9562", + "accept": false, + "reason": "Different features: TorchAO quantization vs Pyramid Attention Broadcast. 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They are related thematically yet not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #999 is the broader, more central Stable Diffusion Flax finetuning addition and is a better representative of the cluster than the more specific DreamBooth follow-up.", + "best_issue_reason": null, + "best_pr_reason": "PR #999 is the best single PR to represent the cluster because it introduces the core Flax finetuning example for Stable Diffusion; PR #1001 is a separate DreamBooth example rather than a duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1001", + "right": "pull_request:999", + "accept": false, + "reason": "Different concrete use cases and code paths: DreamBooth finetuning vs text-to-image finetuning. They touch separate example scripts/READMEs 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": 4, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9905-11", + "nodes": [ + "pull_request:10032", + "pull_request:10094", + "pull_request:10217", + "pull_request:10499", + "pull_request:10713", + "pull_request:10846", + "pull_request:11128", + "pull_request:9905", + "pull_request:9935", + "pull_request:9952", + "pull_request:9960" + ], + "soft_pairs": [ + "pull_request:9905|pull_request:9952", + "pull_request:10032|pull_request:9905", + "pull_request:10094|pull_request:9905", + "pull_request:10499|pull_request:9905", + "pull_request:10713|pull_request:9905", + "pull_request:9935|pull_request:9960", + "pull_request:10217|pull_request:9935", + "pull_request:10032|pull_request:9952", + "pull_request:10094|pull_request:9952", + "pull_request:10499|pull_request:9952", + "pull_request:10713|pull_request:9952", + "pull_request:10217|pull_request:9960", + "pull_request:9905|pull_request:9960", + "pull_request:9952|pull_request:9960", + "pull_request:10032|pull_request:9960", + "pull_request:10032|pull_request:10094", + "pull_request:10032|pull_request:10499", + "pull_request:10032|pull_request:10713", + "pull_request:10094|pull_request:10499", + "pull_request:10094|pull_request:10713", + "pull_request:10499|pull_request:10713", + "pull_request:10846|pull_request:9905", + "pull_request:10846|pull_request:9952", + "pull_request:10032|pull_request:10846", + "pull_request:10094|pull_request:10846", + "pull_request:10499|pull_request:10846", + "pull_request:11128|pull_request:9905", + "pull_request:11128|pull_request:9952", + "pull_request:10032|pull_request:11128", + "pull_request:10094|pull_request:11128", + "pull_request:10499|pull_request:11128" + ], + "prepared_review_unit_hash": "6dbb48b42d869cfdfcb7f2e55e37f85b67a83855053f799022f03fe15da18f06", + "component_budget": { + "node_count": 11, + "item_count": 11, + "soft_pair_count": 31, + "serialized_chars": 32189, + "estimated_input_tokens": 8048, + "estimated_eval_tokens": 16352 + }, + "budget": { + "node_count": 11, + "item_count": 11, + "soft_pair_count": 31, + "serialized_chars": 32189, + "estimated_input_tokens": 8048, + "estimated_eval_tokens": 16352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is really two unrelated themes: a sequence of incremental docs-only PRs adding notebook links to community-script READMEs, and separate PRs moving individual research projects. 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10094 updates the main community README plus the companion file." + }, + { + "left": "pull_request:10499", + "right": "pull_request:9905", + "accept": false, + "reason": "Sequential community notebook updates, but the diffs are not identical and add different notebook links." + }, + { + "left": "pull_request:10713", + "right": "pull_request:9905", + "accept": false, + "reason": "Same docs series, but this PR adds a different notebook row and is not a duplicate of 9905." + }, + { + "left": "pull_request:9935", + "right": "pull_request:9960", + "accept": false, + "reason": "Both move scripts into research_projects, but they are for different projects (Wuerstchen vs IP Adapter), so not the same change." + }, + { + "left": "pull_request:10217", + "right": "pull_request:9935", + "accept": false, + "reason": "Different migration targets and different codebases; only the general move-to-research-project theme matches." + }, + { + "left": "pull_request:10032", + "right": "pull_request:9952", + "accept": false, + "reason": "Same README family, but these are distinct notebook additions in separate PRs." + }, + { + "left": "pull_request:10094", + "right": "pull_request:9952", + "accept": false, + "reason": "Related notebook-link updates, but 10094 edits a broader set of docs and is not the same patch as 9952." + }, + { + "left": "pull_request:10499", + "right": "pull_request:9952", + "accept": false, + "reason": "Both are notebook README changes, but they introduce different rows and cannot be merged as one duplicate PR." + }, + { + "left": "pull_request:10713", + "right": "pull_request:9952", + "accept": false, + "reason": "Same subsystem, different notebook entry and later incremental update." + }, + { + "left": "pull_request:10217", + "right": "pull_request:9960", + "accept": false, + "reason": "Separate project relocation PRs; they do not fix or move the same project." + }, + { + "left": "pull_request:9905", + "right": "pull_request:9960", + "accept": false, + "reason": "Different artifact family: community README notebook links versus moving IP Adapter scripts." + }, + { + "left": "pull_request:9952", + "right": "pull_request:9960", + "accept": false, + "reason": "Different concrete changes in different paths; only loosely similar by being example docs/workflow related." + }, + { + "left": "pull_request:10032", + "right": "pull_request:9960", + "accept": false, + "reason": "Community README notebook updates are unrelated to the IP Adapter move PR." + }, + { + "left": "pull_request:10032", + "right": "pull_request:10094", + "accept": false, + "reason": "Both touch the same docs area, but they are separate incremental notebook-link additions, not the same patch." + }, + { + "left": "pull_request:10032", + "right": "pull_request:10499", + "accept": false, + "reason": "Different notebook-link updates in the same README series; 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10044 adds joint-mask preparation while 10051 plumbs the mask into SDPA and related Flux code, which fits one combined feature fix." + }, + { + "left": "pull_request:10051", + "right": "pull_request:10053", + "accept": true, + "reason": "These are very close variants of the same Flux attention-mask change: both patch the SDPA attention call to accept an attention mask and both share the same explicit issue target." + }, + { + "left": "pull_request:10044", + "right": "pull_request:10053", + "accept": true, + "reason": "10053 is a narrower attention-mask plumbing change in the same Flux attention code path, while 10044 adds the supporting joint-mask preparation; together they address the same underlying masking feature." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The clustering is grounded in the packet: all three PRs concern Flux attention-mask support, 10051 and 10053 share the same core SDPA mask-plumbing change, and 10044 adds the complementary joint-mask preparation helper. The pairwise soft-edge accepts are conservative and the changes look mergeable as one bugfix family." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 6, + "component_count": 265, + "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-916-36", + "nodes": [ + "pull_request:1007", + "pull_request:1110", + "pull_request:1225", + "pull_request:1834", + "pull_request:1980", + "pull_request:2031", + "pull_request:2173", + "pull_request:2478", + "pull_request:2818", + "pull_request:2859", + "pull_request:2978", + "pull_request:3360", + "pull_request:3425", + "pull_request:3550", + "pull_request:3560", + "pull_request:3810", + "pull_request:3896", + "pull_request:4016", + "pull_request:4038", + "pull_request:4097", + "pull_request:4505", + "pull_request:5778", + "pull_request:6422", + "pull_request:6514", + "pull_request:6554", + "pull_request:6751", + "pull_request:6840", + "pull_request:7126", + "pull_request:7242", + "pull_request:8446", + "pull_request:8461", + "pull_request:8476", + "pull_request:8743", + "pull_request:916", + "pull_request:9308", + "pull_request:9316" + ], + "soft_pairs": [ + "pull_request:8461|pull_request:9316", + "pull_request:8446|pull_request:8461", + "pull_request:8461|pull_request:9308", + "pull_request:8476|pull_request:9308", + "pull_request:8446|pull_request:9308", + "pull_request:6514|pull_request:7126", + "pull_request:4016|pull_request:5778", + "pull_request:4097|pull_request:6514", + "pull_request:3896|pull_request:4097", + "pull_request:6554|pull_request:7126", + "pull_request:4016|pull_request:4505", + "pull_request:6554|pull_request:7242", + "pull_request:4097|pull_request:4505", + "pull_request:5778|pull_request:6514", + "pull_request:2031|pull_request:4097", + "pull_request:4038|pull_request:4097", + "pull_request:4097|pull_request:5778", + "pull_request:3425|pull_request:3560", + "pull_request:5778|pull_request:7126", + "pull_request:4505|pull_request:5778", + "pull_request:6422|pull_request:7126", + "pull_request:2478|pull_request:2978", + "pull_request:2818|pull_request:2859", + "pull_request:5778|pull_request:7242", + "pull_request:6751|pull_request:7126", + "pull_request:6422|pull_request:6554", + "pull_request:4016|pull_request:4038", + "pull_request:3550|pull_request:3896", + "pull_request:1110|pull_request:1980", + "pull_request:1225|pull_request:1980", + "pull_request:3550|pull_request:4016", + "pull_request:6840|pull_request:7126", + "pull_request:1007|pull_request:1980", + "pull_request:6422|pull_request:6514", + "pull_request:3360|pull_request:3550", + "pull_request:5778|pull_request:6422", + "pull_request:4016|pull_request:6422", + "pull_request:3810|pull_request:4016", + "pull_request:3896|pull_request:5778", + "pull_request:4038|pull_request:5778", + "pull_request:5778|pull_request:6751", + "pull_request:1980|pull_request:2031", + "pull_request:6514|pull_request:8446", + "pull_request:2031|pull_request:4016", + "pull_request:2818|pull_request:4038", + "pull_request:3810|pull_request:4505", + "pull_request:3360|pull_request:3425", + "pull_request:1980|pull_request:916", + "pull_request:6514|pull_request:8476", + "pull_request:2031|pull_request:3896", + "pull_request:2859|pull_request:4505", + "pull_request:3896|pull_request:4038", + "pull_request:2859|pull_request:2978", + "pull_request:1834|pull_request:2978", + "pull_request:3810|pull_request:3896", + "pull_request:2978|pull_request:4016", + "pull_request:2478|pull_request:4505", + "pull_request:2031|pull_request:2173", + "pull_request:1834|pull_request:3810", + "pull_request:7242|pull_request:8743", + "pull_request:8461|pull_request:8476", + "pull_request:8446|pull_request:8476", + "pull_request:6514|pull_request:6554", + "pull_request:8476|pull_request:9316", + "pull_request:8446|pull_request:9316", + "pull_request:9308|pull_request:9316", + "pull_request:3896|pull_request:4016", + "pull_request:7126|pull_request:7242", + "pull_request:6514|pull_request:6840", + "pull_request:4016|pull_request:4097", + "pull_request:6514|pull_request:7242", + "pull_request:4505|pull_request:6751" + ], + "prepared_review_unit_hash": "ca89445835212f449f9c3c0d90fe9a6bdb9da42e76196307d69353d5bbb5e9c9", + "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": "Mixed cluster with a few real duplicate families: distributed LR-scheduler fixes across example scripts, and fp16/state-dict resume fixes in LoRA training. Most other pairs are adjacent feature work or docs and should stay separate. The 9308 links to ControlNet scheduler-fix PRs are too weak to merge and should be rejected.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8461 is the cleanest anchor for the strongest duplicate family: a focused one-file distributed LR-scheduler bug fix with a direct sibling in 8476 and the same fix pattern repeated elsewhere.", + "best_issue_reason": null, + "best_pr_reason": "PR 8461 is the best global representative because it is a crisp, concrete bug fix rather than a feature/docs change, and it sits at the center of the clearest duplicate subcluster in this packet.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8461", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed LR-scheduler math bug and same fix pattern in sibling example training scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8461", + "accept": true, + "reason": "Same scheduler computation bug in a closely related example training script; the patch shape is the same." + }, + { + "left": "pull_request:8461", + "right": "pull_request:9308", + "accept": false, + "reason": "They share a broad scheduler-fix theme, but the packet marks this edge non-deterministic and the scripts are different enough that this is not a single mergeable change." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9308", + "accept": false, + "reason": "Same broad training-scheduler theme, but different example script and not the same concrete code path; too weak for duplicate triage." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9308", + "accept": false, + "reason": "Shared bug class only; the packet does not ground this as the same mergeable patch, so reject conservatively." + }, + { + "left": "pull_request:6514", + "right": "pull_request:7126", + "accept": false, + "reason": "Different fixes in different training flows: fp16 resume/state-dict restoration versus EDM-style training support." + }, + { + "left": "pull_request:4016", + "right": "pull_request:5778", + "accept": false, + "reason": "Different SDXL training features in different scripts; related domain, but not the same underlying change." + }, + { + "left": "pull_request:4097", + "right": "pull_request:6514", + "accept": false, + "reason": "One is text-encoder fine-tuning support, the other is an fp16 resume fix; not the same bug or change." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4097", + "accept": false, + "reason": "WIP SDXL DreamBooth LoRA support versus a later text-encoder-finetuning follow-up; related, but not a duplicate." + }, + { + "left": "pull_request:6554", + "right": "pull_request:7126", + "accept": false, + "reason": "Both are DreamBooth/LoRA training-related, but they fix different problems in different scripts." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4505", + "accept": false, + "reason": "Different SDXL training scripts and different feature goals; not the same change." + }, + { + "left": "pull_request:6422", + "right": "pull_request:7126", + "accept": false, + "reason": "Separate research/training recipes with different functionality; only superficially related." + }, + { + "left": "pull_request:2478", + "right": "pull_request:2978", + "accept": false, + "reason": "Original example addition versus a later multi-GPU bug fix; not duplicates." + }, + { + "left": "pull_request:2818", + "right": "pull_request:2859", + "accept": false, + "reason": "Both are ControlNet JAX-related, but one adds the training script and the other adds streaming support; different changes." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7242", + "accept": false, + "reason": "Different SDXL DreamBooth LoRA follow-ups; the prior-preservation fix is not the same change as the EDM-style training work." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7126", + "accept": false, + "reason": "Different SDXL training examples and different fix scopes." + }, + { + "left": "pull_request:6422", + "right": "pull_request:6554", + "accept": false, + "reason": "Different training recipes and different bug fixes; no duplicate code path." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4038", + "accept": false, + "reason": "Different model families and training features; not the same underlying bug or change." + }, + { + "left": "pull_request:3550", + "right": "pull_request:3896", + "accept": false, + "reason": "Debug/discussion PR versus broader SDXL LoRA feature work; not the same artifact." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7126", + "accept": false, + "reason": "Different training approaches and different code paths." + }, + { + "left": "pull_request:4505", + "right": "pull_request:5778", + "accept": false, + "reason": "Different text-to-image SDXL workstreams; only loosely related." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6840", + "accept": true, + "reason": "Same fp16 resume/state-dict restoration bug pattern in LoRA training scripts." + }, + { + "left": "pull_request:2478", + "right": "pull_request:4505", + "accept": false, + "reason": "Different example families and different functionality." + }, + { + "left": "pull_request:2818", + "right": "pull_request:4038", + "accept": false, + "reason": "One is JAX ControlNet training, the other is PyTorch SDXL ControlNet support; not the same change." + }, + { + "left": "pull_request:3810", + "right": "pull_request:4016", + "accept": false, + "reason": "Model-card/docs cleanup versus SDXL DreamBooth LoRA feature work; not duplicates." + }, + { + "left": "pull_request:3896", + "right": "pull_request:5778", + "accept": false, + "reason": "Unrelated SDXL training efforts with different goals." + }, + { + "left": "pull_request:4038", + "right": "pull_request:4097", + "accept": false, + "reason": "Different pipeline/feature work, not the same underlying bug or change." + }, + { + "left": "pull_request:4505", + "right": "pull_request:6751", + "accept": false, + "reason": "Both are text-to-image SDXL-related, but they are different additions/fixes in different files." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6514", + "accept": false, + "reason": "Different training recipes and fixes; no shared concrete bug." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4097", + "accept": true, + "reason": "Same SDXL DreamBooth LoRA script line and the later PR is a direct follow-up on the same training implementation." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6554", + "accept": true, + "reason": "Same fp16 resume bug pattern applied to another LoRA training script." + }, + { + "left": "pull_request:8461", + "right": "pull_request:8476", + "accept": true, + "reason": "Same distributed LR-scheduler fix across sibling example scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8476", + "accept": true, + "reason": "Same scheduler bug and same fix pattern in a related example training script." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9316", + "accept": true, + "reason": "Same LR-scheduler bug fix pattern in another example training script." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9316", + "accept": true, + "reason": "Same scheduler-math bug and same style of fix, just in a different example script." + }, + { + "left": "pull_request:9308", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed scheduler computation bug across example training scripts." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4016", + "accept": true, + "reason": "Same SDXL DreamBooth LoRA feature family; 4016 is the polished continuation of the earlier WIP implementation." + }, + { + "left": "pull_request:7126", + "right": "pull_request:7242", + "accept": false, + "reason": "EDM-style training support versus a prior-preservation bug fix: related file, different concrete change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Reject: the analyst overstates mergeability in the distributed LR-scheduler cluster. In the packet, the pairs pull_request:8461\u2013pull_request:9308, pull_request:8476\u2013pull_request:9308, and pull_request:8446\u2013pull_request:9308 all have deterministic_accept=false, but the analyst marked them accept. The summary is broadly aligned, but these soft-edge verdicts are not conservative enough and are not grounded by the packet." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 6, + "component_count": 265, + "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": "02027bb584d3f21bd19ea9f5271bfc24795f8200e39ec81a07a1a1bf3d833034", + "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 actually two loose themes: an ORT integration subcluster around unconditional image generation, and several separate fp16 resume-fix PRs for different LoRA/DreamBooth-style training scripts. I treat only the ORT PRs as true duplicates/same change; the resume-fix PRs are related but not the same concrete code path.", + "confidence": 0.73, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1110 is the merged, most complete ORT integration: it adds the dedicated ORT example, docs, and the supporting pipeline change, so it best represents the final change in this subcluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 1110 is the strongest representative overall because it is merged and contains the finished ORT example plus documentation, making it the clearest canonical PR for the ORT work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6554", + "right": "pull_request:6840", + "accept": false, + "reason": "Both address fp16 resume issues, but they touch different training scripts and code paths (DreamBooth SD vs. LCM consistency distillation), so they are related fixes rather than the same duplicate change." + }, + { + "left": "pull_request:1110", + "right": "pull_request:1225", + "accept": true, + "reason": "Both are ORT integrations for the unconditional image generation training example and aim at the same underlying change: making that training flow work with ONNX Runtime." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1110", + "accept": true, + "reason": "Both implement the same ORT-enabled unconditional training support, with overlapping edits to the example and shared pipeline support, so they look like alternate versions of the same change." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1225", + "accept": true, + "reason": "These are both ORT integration variants for the same unconditional training script and supporting model code, differing mainly in implementation shape rather than underlying goal." + }, + { + "left": "pull_request:6751", + "right": "pull_request:6840", + "accept": false, + "reason": "They both touch LoRA training resume behavior, but they are for different example scripts and different training scenarios, so they are not the same concrete fix." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7242", + "accept": false, + "reason": "These address unrelated problems: mixed-precision fine-tuning resume vs. prior-preservation collate handling in DreamBooth SDXL." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6840", + "accept": false, + "reason": "Different feature areas and different files; one is an LCM LoRA datasets-version training addition, the other is a resume-from-fp16 bug fix." + }, + { + "left": "pull_request:1007", + "right": "pull_request:916", + "accept": true, + "reason": "Both are about integrating ORT into the unconditional image generation training stack and share the same supporting core changes, so they appear to be the same underlying feature work." + }, + { + "left": "pull_request:1110", + "right": "pull_request:916", + "accept": true, + "reason": "Both are ORT integration work for unconditional training, with overlapping example/core changes; they look like different iterations of the same change." + }, + { + "left": "pull_request:1225", + "right": "pull_request:916", + "accept": true, + "reason": "Both target ORT support for the unconditional training example and core model/pipeline compatibility, so they are close enough to treat as duplicate change work." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6751", + "accept": false, + "reason": "They are both resume-related LoRA fixes, but they affect different example scripts and are not the same 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": 7, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These three PRs are only loosely similar by the word \u201cclean\u201d; they target different areas (docs, UNetNCSNpp/resnet internals, and unconditional UNet refactoring) and are not duplicates of the same change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 52 is the most concrete code-path change in the cluster; PR 85 is a separate UNet refactor and PR 1008 is docs-only.", + "best_issue_reason": null, + "best_pr_reason": "PR 52 is the best representative PR here because it makes the clearest implementation change, while the others are unrelated cleanup work in different subsystems.", + "soft_edge_verdicts": [ + { + "left": "pull_request:52", + "right": "pull_request:85", + "accept": false, + "reason": "Different code paths and goals: PR 52 cleans up UNetNCSNpp/resnet internals, while PR 85 refactors unconditional UNet modules and tests. They are not the same underlying fix and would not plausibly merge as one PR." + }, + { + "left": "pull_request:1008", + "right": "pull_request:52", + "accept": false, + "reason": "Docs cleanup vs model implementation cleanup. PR 1008 only edits documentation pages, while PR 52 changes resnet and score-estimation model code; no shared bug or 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": 8, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related API-surface updates adding `sigmas` support, but they target different pipeline families and different code paths, so they are not duplicates of the same concrete change.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10116 is the broader, more representative change: it updates multiple FlowMatch-based pipelines and reflects the shared API shift more comprehensively than the Flux-only PR.", + "best_issue_reason": null, + "best_pr_reason": "PR #10116 is the best representative artifact for this cluster because it covers the wider set of affected pipelines and the common `sigmas` API update pattern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10081", + "right": "pull_request:10116", + "accept": false, + "reason": "Both add `sigmas`, but one is Flux-specific and the other targets FlowMatch-based pipelines in different files and code paths. They are conceptually similar, 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": 9, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 artifacts are the same ControlNetUnion feature addition against issue #9772. PR #10131 is the merged implementation and PR #9776 is an earlier, unmerged attempt that touches the same files and code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10131 is the best canonical PR because it is the merged, later completion of the same ControlNetUnion feature and supersedes the earlier unmerged attempt.", + "best_issue_reason": null, + "best_pr_reason": "PR #10131 is the strongest representative of the cluster: it is merged, has the same explicit issue target, and covers the same ControlNetUnion implementation plus docs/API wiring as PR #9776.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10131", + "right": "pull_request:9776", + "accept": true, + "reason": "Same title, same explicit issue target, and substantial overlap in the exact ControlNetUnion files and pipelines; this looks like the same underlying feature change rather than merely related 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": 10, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three separate but closely related PRs that all add device/torch output support to positional-embedding helpers and then update downstream call sites. They share a pattern, but they do not fix the same concrete code path.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10156 is the broadest and most central change: it updates shared 2D/3D sincos embedding helpers in `src/diffusers/models/embeddings.py` and propagates the new torch/device behavior into multiple consumers. It is the best representative of the cluster\u2019s underlying refactor pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR 10156 is the best overall representative because it touches the shared embedding utilities rather than a single pipeline, and it addresses the core implementation pattern that the other PRs follow in narrower scopes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10155", + "right": "pull_request:10161", + "accept": false, + "reason": "Both are about positional embeddings, but one changes `get_2d_rotary_pos_embed` and the other changes `get_3d_rotary_pos_embed`/Allegro. Different helper functions and different downstream pipelines, so they are related refactors rather than the same bug fix." + }, + { + "left": "pull_request:10156", + "right": "pull_request:10161", + "accept": false, + "reason": "PR 10156 updates 2D/3D sincos embedding helpers, while PR 10161 updates 3D rotary embedding helpers. They touch different code paths 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": 11, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two PRs only overlap at a broad file/subsystem level in the modular SDXL pipeline. PR #10173 adds Modular APG guidance changes, while PR #10509 adds SDXL ControlNet Union denoising logic. They are different features and not the same underlying fix/change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs implement different features and should not be treated as duplicates.", + "best_issue_reason": null, + "best_pr_reason": "#10509 is the better representative only in the sense that it is a self-contained, clearly scoped modular SDXL feature; #10173 is unrelated APG work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10173", + "right": "pull_request:10509", + "accept": false, + "reason": "Reject: they touch the same broad modular SDXL code, but one is for APG guidance and the other is for ControlNet Union denoising. They do not appear to 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": 12, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are not duplicates: one PR fixes runtime model-type validation in `from_pretrained`, while the other only adds a `Self` return type annotation for type inference. They touch the same file but different problems and would not be merged as one change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10189 is the better canonical PR because it addresses the concrete runtime bug in `from_pretrained` by checking the correct model type; it is the more substantive and behavior-changing fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #10189 is the best representative of the cluster since it fixes the actual code-path problem rather than only improving typing.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10189", + "right": "pull_request:10714", + "accept": false, + "reason": "Different underlying changes: #10189 validates the passed model type at runtime, while #10714 only annotates `from_pretrained` with `Self` for static type checking." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This cluster is broad CogVideoX/video-LoRA related work, but the PRs are not true duplicates of one another; they target different models, pipelines, or feature additions.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No exact duplicate stands out. If one PR must represent the cluster, 9302 is the broadest CogVideoX LoRA training PR and is the most central to the shared example/training theme.", + "best_issue_reason": null, + "best_pr_reason": "9302 is the best representative for the cluster theme because it is the main CogVideoX LoRA training PR and has the clearest overlap with the only adjacent training-example follow-up (9482), while the others are separate model or pipeline features.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9093", + "right": "pull_request:9150", + "accept": false, + "reason": "Different changes: 9093 adds dynamic CFG for CogVideoX, while 9150 is CogVideoX follow-ups plus tiled decoding support." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9302", + "accept": false, + "reason": "9093 is a pipeline/model behavior change; 9302 is a LoRA training example for CogVideoX." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9389", + "accept": false, + "reason": "Dynamic CFG and FreeNoise are separate CogVideoX experiments/features, not the same concrete fix." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9482", + "accept": false, + "reason": "9093 changes inference behavior; 9482 adds CogVideoX-I2V LoRA training scripts and docs." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9302", + "accept": false, + "reason": "9150 is a pipeline refactor/tiled decoding change, not the LoRA training work in 9302." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9389", + "accept": false, + "reason": "CogVideoX tiled-decoding follow-ups and FreeNoise are distinct pipeline experiments." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9482", + "accept": false, + "reason": "9150 targets CogVideoX pipeline behavior; 9482 targets I2V LoRA training examples." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9312", + "accept": false, + "reason": "9150 is a CogVideoX pipeline feature PR; 9312 is just a small rotary-embedding refactor/comment/dtype cleanup." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9482", + "accept": false, + "reason": "Both are training-related, but 9302 is text-to-video LoRA while 9482 is image-to-video LoRA; separate scripts and pipeline support." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9389", + "accept": false, + "reason": "9302 is a LoRA training example; 9389 is a FreeNoise experiment on the CogVideoX inference stack." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9302", + "accept": false, + "reason": "Different models and tasks: HunyuanVideo LoRA support versus CogVideoX LoRA training." + }, + { + "left": "pull_request:10228", + "right": "pull_request:9482", + "accept": false, + "reason": "LTX Video LoRA support and CogVideoX I2V LoRA training are unrelated model families and changes." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9482", + "accept": false, + "reason": "HunyuanVideo LoRA support is not the same change as CogVideoX I2V LoRA training." + }, + { + "left": "pull_request:10228", + "right": "pull_request:10254", + "accept": false, + "reason": "These support different video models entirely: LTX Video versus HunyuanVideo." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "No duplicate cluster here: one docs-only LTX PR, one LTX VAE feature PR, and one Wan VAE feature PR. The only suggested soft match is too broad because it targets a different model and code path.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10488 is the clearest canonical artifact because it makes the concrete LTX Video VAE code change (framewise encoding/decoding) and has the most direct relation to the cluster\u2019s shared LTX VAE topic.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10488 is the best representative PR: it is a substantive implementation change in the LTX Video VAE, while pull_request:10229 is just documentation and pull_request:11414 is a similar feature for a different model (Wan), not the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10229", + "right": "pull_request:10488", + "accept": false, + "reason": "Docs-only LTX video changes are not the same underlying bug/change as implementing framewise VAE encoding/decoding in code." + }, + { + "left": "pull_request:10488", + "right": "pull_request:11414", + "accept": false, + "reason": "These are similar feature themes, but they modify different models and code paths (LTX Video VAE vs Wan VAE), so they are not duplicates 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": 15, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Loose topical cluster around DreamBooth/LoRA training and docs, but each PR targets a different model family or a different follow-up feature. None of these look like true duplicates of the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "#11281 is the best representative PR because it is the broadest, most complete LoRA integration change in the set (core loader/pipeline changes plus docs/tests). That said, the cluster is not composed of duplicates, so it should not be treated as a canonical duplicate target.", + "best_issue_reason": null, + "best_pr_reason": "#11281 is the strongest overall representative for this cluster: it implements a substantial end-to-end LoRA feature for HiDream with code, docs, and tests. The others are narrower model-specific additions or follow-up README/script tweaks, not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10234", + "right": "pull_request:11494", + "accept": false, + "reason": "Different model/features: SANA LoRA support vs HiDream LoRA quantization support. Not the same concrete change." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11281", + "accept": false, + "reason": "Both are LoRA work, but for different model families (SANA vs HiDream) and different code paths." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11111", + "accept": false, + "reason": "SANA LoRA support is unrelated to Flux LoRA script fixes; same subsystem, but not the same underlying bug/change." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11381", + "accept": false, + "reason": "SANA LoRA support vs HiDream README/script optimizations. Different model and different change scope." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11281", + "accept": false, + "reason": "Flux LoRA script fixes and HiDream LoRA support address different model pipelines and different problems." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11381", + "accept": false, + "reason": "Flux script fixes are not the same as HiDream training README updates/optimizations." + }, + { + "left": "pull_request:11281", + "right": "pull_request:11381", + "accept": false, + "reason": "Same model family, but #11281 adds core HiDream LoRA support while #11381 is a narrower README/example optimization follow-up. Not one identical change." + }, + { + "left": "pull_request:11381", + "right": "pull_request:11494", + "accept": false, + "reason": "Both touch HiDream, but one is a README/example optimization update and the other adds quantization support in the training flow; separate changes." + }, + { + "left": "pull_request:11381", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream README/script updates vs Qwen Image LoRA support; different model families and unrelated code paths." + }, + { + "left": "pull_request:11494", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream quantization support is not the same as Qwen Image LoRA support." + }, + { + "left": "pull_request:11858", + "right": "pull_request:12056", + "accept": false, + "reason": "Kontext I2I training support vs Qwen Image LoRA support; different model features and 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": 16, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are about sequential CPU offloading in Stable Diffusion, but they are not the same change: #1024 primarily documents the feature and touches the base pipeline/docs, while #1085 adds the offload method to img2img/inpaint plus tests. Related feature work, not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1085 is the stronger canonical representative because it contains the concrete code change and tests for enabling sequential CPU offload in additional Stable Diffusion pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #1085 is the best overall PR in this cluster since it implements the feature in code paths and adds validation, whereas #1024 is mostly documentation/supporting pipeline work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1024", + "right": "pull_request:1085", + "accept": false, + "reason": "Related to the same offload feature area, but #1024 is documentation/base-pipeline support and #1085 extends the method to img2img/inpaint with tests; they are not the same concrete 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": 17, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs both mention checkpoint-saving behavior, but they target different problems: PR #10252 is a concrete bugfix in the SD3 DreamBooth LoRA save hook, while PR #9891 is a broader checkpointing-step fix tied to issue #2606. I do not consider them duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10252 is the stronger canonical PR because it has a specific code-path and diff: it fixes the LoRA checkpoint save hook in `examples/dreambooth/train_dreambooth_lora_sd3.py`, including model-type matching and optional upcasting before saving.", + "best_issue_reason": null, + "best_pr_reason": "PR #10252 is the best representative of this cluster because it is narrowly scoped, has an explicit diff, and addresses a specific saving bug rather than a broad checkpointing concern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10252", + "right": "pull_request:9891", + "accept": false, + "reason": "They both relate to saving/checkpointing, but the overlap is too broad. #10252 fixes a specific LoRA save-hook bug in one DreamBooth script, while #9891 is a general checkpointing-steps fix with no evidence it touches the same code path or 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": 18, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These three PRs are closely related versions of the same multilingual Stable Diffusion community pipeline work. PR #1142 looks like the final, merged, most focused form of the change; #1071 is a broader unmerged variant; #1028 is an earlier proposal of the same feature.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1142 is the best canonical PR because it is the merged, most focused implementation of the multilingual Stable Diffusion community pipeline, while #1071 is a broader unmerged draft and #1028 is an earlier proposal.", + "best_issue_reason": null, + "best_pr_reason": "PR #1142 is the best representative of the cluster: it captures the core feature with minimal extra noise and is already merged, making it the most stable reference point.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1028", + "right": "pull_request:1071", + "accept": true, + "reason": "Both PRs center on the multilingual Stable Diffusion community pipeline; #1071 appears to be a later, expanded version of the same feature, so they represent the same underlying change." + }, + { + "left": "pull_request:1028", + "right": "pull_request:1142", + "accept": true, + "reason": "Both PRs target the same multilingual Stable Diffusion community pipeline addition, with #1142 looking like the finalized, narrower version of the same change." + }, + { + "left": "pull_request:1071", + "right": "pull_request:1142", + "accept": true, + "reason": "They have the same title and share the key pipeline file, indicating the same core multilingual Stable Diffusion change; #1142 is a slimmer follow-up/finalized variant of #1071." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two Mochi PRs are unrelated code changes: one makes empty-prompt zeroing configurable in the pipeline, while the other enables splitting the Mochi transformer across multiple GPUs. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10284 is the better canonical representative because it is a concrete end-user behavior change in the Mochi pipeline and is more directly tied to a single bug/feature area than the GPU-sharding transformer change.", + "best_issue_reason": null, + "best_pr_reason": "PR #10284 is the best single PR to keep as the representative change in this cluster; PR #10300 addresses a separate model-parallelism concern and does not overlap the same code-path problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10284", + "right": "pull_request:10300", + "accept": false, + "reason": "Different fixes in different files and code paths: configurable empty-prompt embedding zeroing in the pipeline versus adding split support for the transformer. They share only the broad Mochi subsystem, 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": 20, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are only loosely similar at the theme level (model-related changes and tests), but they address different code paths: `_no_split_modules` support, group offloading training coverage, and a framepack gradient-checkpointing fix. They should not be deduplicated.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10308 is the clearest concrete code fix in the cluster: it adds `_no_split_modules` support to specific models and includes targeted tests. The other PRs are different changes focused on test coverage or a separate model attribute fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #10308 is the best representative because it contains the most substantive functional change and is already merged; the others are separate, narrower changes rather than the same underlying fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10308", + "right": "pull_request:11515", + "accept": false, + "reason": "Different problems: #10308 adds `_no_split_modules` support for model splitting/device_map, while #11515 adds a training-time group-offloading test. Same general subsystem, but not the same bug or change." + }, + { + "left": "pull_request:10308", + "right": "pull_request:11520", + "accept": false, + "reason": "#10308 is about `_no_split_modules`; #11520 changes a framepack model attribute from `use_gradient_checkpointing` to `gradient_checkpointing` and adds tests. Distinct fixes, not mergeable as one PR." + }, + { + "left": "pull_request:11515", + "right": "pull_request:11520", + "accept": false, + "reason": "Both touch tests, but they target different models and issues: group offloading training coverage versus a framepack gradient-checkpointing/model-init 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": 21, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 closely related Stable Diffusion 3 ControlNet pipelines, but they target different concrete code paths: the base ControlNet pipeline vs. the inpainting variant. They are related feature siblings, not true duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical duplicate PR: these are separate implementations for different SD3 ControlNet pipeline variants, not the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10363 is the best representative because it is the earlier base-pipeline IP-Adapter addition, has an explicit issue link, and establishes the core implementation pattern later mirrored by the inpainting PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10363", + "right": "pull_request:10561", + "accept": false, + "reason": "Same feature family, but different pipeline classes and files; they do not fix the same concrete code-path problem and would not naturally 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": 22, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This cluster is a mix of unrelated dependency-bump PRs across two different example projects (realfill and server). The soft similarities are mostly superficial because the PRs change different packages and/or different version steps, so I would not merge any of them as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11429 is the best representative overall: it is merged, materially updates both the server input and lockfile, and sits near the center of the server-side dependency refresh chain. That said, the cluster is heterogeneous and not a true duplicate set.", + "best_issue_reason": null, + "best_pr_reason": "11429 is the strongest single PR to anchor the cluster because it is a concrete, merged dependency update with broader file impact than the others; the rest are distinct package/version bumps rather than the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6255", + "right": "pull_request:7635", + "accept": false, + "reason": "Same file and project, but different transformer version steps (4.34\u21924.36 vs 4.36\u21924.38); sequential updates, not duplicates." + }, + { + "left": "pull_request:6255", + "right": "pull_request:7873", + "accept": false, + "reason": "Different package changes in the same file (transformers vs Jinja2)." + }, + { + "left": "pull_request:6255", + "right": "pull_request:6539", + "accept": false, + "reason": "Different package changes in the same file (transformers vs Jinja2)." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7873", + "accept": false, + "reason": "Same file/project, but different Jinja2 version steps (3.1.2\u21923.1.3 vs 3.1.3\u21923.1.4); not the same change." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7635", + "accept": false, + "reason": "Different package changes in the same file (Jinja2 vs transformers)." + }, + { + "left": "pull_request:7635", + "right": "pull_request:7873", + "accept": false, + "reason": "Different package changes in the same file (transformers vs Jinja2)." + }, + { + "left": "pull_request:7635", + "right": "pull_request:8971", + "accept": false, + "reason": "Same project/file, but different Torch version steps (2.0.1\u21922.2.0 vs 2.2.0\u21922.6.0); not duplicates." + }, + { + "left": "pull_request:7873", + "right": "pull_request:8971", + "accept": false, + "reason": "Different package changes in the same file (Jinja2 vs torch)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:8971", + "accept": false, + "reason": "Same project/file, but different dependency changes (Jinja2 vs torch) and different fix goals." + }, + { + "left": "pull_request:8971", + "right": "pull_request:9956", + "accept": false, + "reason": "Different projects and different packages (realfill torch vs server aiohttp)." + }, + { + "left": "pull_request:11234", + "right": "pull_request:9956", + "accept": false, + "reason": "Same server requirements file, but different package bumps (Jinja2 vs aiohttp)." + }, + { + "left": "pull_request:11415", + "right": "pull_request:9956", + "accept": false, + "reason": "Same server requirements file, but different package bumps (h11 vs aiohttp)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:9956", + "accept": false, + "reason": "Different package bumps in server requirements (torch vs aiohttp) and different scope." + }, + { + "left": "pull_request:10377", + "right": "pull_request:9956", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server aiohttp)." + }, + { + "left": "pull_request:10984", + "right": "pull_request:9956", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server aiohttp)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10984", + "accept": false, + "reason": "Same project/file, but different Jinja2 version steps (3.1.4\u21923.1.5 vs 3.1.5\u21923.1.6); sequential, not duplicate." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11234", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server Jinja2), not the same change." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10766", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server transformers)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11664", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs realfill torch)." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11364", + "accept": false, + "reason": "Same file/project, but different packages (transformers vs torch)." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11664", + "accept": false, + "reason": "Same file/project, but different packages (transformers vs torch)." + }, + { + "left": "pull_request:10766", + "right": "pull_request:10984", + "accept": false, + "reason": "Different package changes in the same file (transformers vs Jinja2)." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11429", + "accept": false, + "reason": "Different projects and different packages (realfill transformers vs server torch)." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11234", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server Jinja2), not the same change." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11364", + "accept": false, + "reason": "Same project/file, but different packages (Jinja2 vs torch)." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11664", + "accept": false, + "reason": "Same project/file, but different packages (Jinja2 vs torch)." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11429", + "accept": false, + "reason": "Same server file, but different dependency bumps (Jinja2 vs torch)." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11686", + "accept": false, + "reason": "Different server dependency bumps (Jinja2 vs requests)." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11664", + "accept": false, + "reason": "Same project/file, but different Torch version steps (2.2.0\u21922.6.0 vs 2.2.0\u21922.7.1); not duplicates." + }, + { + "left": "pull_request:11364", + "right": "pull_request:12279", + "accept": false, + "reason": "Same project/file, but different Torch version steps (2.6.0 vs 2.8.0 target); distinct updates." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11429", + "accept": false, + "reason": "Different projects and different packages (realfill torch vs server torch), with different lockfile contexts." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11924", + "accept": false, + "reason": "Same server file, but different packages (h11 vs aiohttp)." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11429", + "accept": false, + "reason": "Same server file, but different package changes (h11 vs torch)." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11748", + "accept": false, + "reason": "Different server dependency bumps (h11 vs urllib3)." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11415", + "accept": false, + "reason": "Same server file, but different package bumps (Jinja2 vs h11)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11664", + "accept": false, + "reason": "Different projects and different Torch update targets (server torch vs realfill torch)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11686", + "accept": false, + "reason": "Different server dependency bumps (torch vs requests)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11748", + "accept": false, + "reason": "Different server dependency bumps (torch vs urllib3)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11924", + "accept": false, + "reason": "Different server dependency bumps (torch vs aiohttp)." + }, + { + "left": "pull_request:11429", + "right": "pull_request:12279", + "accept": false, + "reason": "Different Torch updates in different projects/files; not the same concrete fix." + }, + { + "left": "pull_request:11664", + "right": "pull_request:12279", + "accept": false, + "reason": "Same project/file, but different Torch version steps (2.2.0\u21922.7.1 vs 2.2.0\u21922.8.0); sequential updates, not duplicates." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11748", + "accept": false, + "reason": "Different server dependency bumps (requests vs urllib3)." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11924", + "accept": false, + "reason": "Different server dependency bumps (requests vs aiohttp)." + }, + { + "left": "pull_request:11748", + "right": "pull_request:11924", + "accept": false, + "reason": "Different server dependency bumps (urllib3 vs aiohttp)." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11924", + "accept": false, + "reason": "Same server file, but different package bumps (Jinja2 vs aiohttp)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11686", + "accept": false, + "reason": "Different projects and different packages (realfill Jinja2 vs server requests)." + }, + { + "left": "pull_request:11748", + "right": "pull_request:12279", + "accept": false, + "reason": "Different projects and different packages (server urllib3 vs realfill torch)." + }, + { + "left": "pull_request:11415", + "right": "pull_request:12279", + "accept": false, + "reason": "Different projects and different packages (server h11 vs realfill torch)." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs touch related pipeline-component validation logic, but they fix different code paths and are not the same underlying change. PR #10400 addresses AutoPipeline.from_pipe using the source pipeline\u2019s optional-components set instead of the target pipeline class, while PR #11189 fixes a generic optional-kwargs set conversion in pipeline_utils.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10400 is the more canonical representative because it targets a concrete, narrowly scoped AutoPipeline bug, includes an explicit issue link, and directly fixes the specific failing code path described in the title and diff.", + "best_issue_reason": null, + "best_pr_reason": "PR #10400 is the best representative overall because it is the more specific, clearly described bug fix and is tied to an explicit issue; PR #11189 is broader and addresses a different validation-path detail.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10400", + "right": "pull_request:11189", + "accept": false, + "reason": "Related subsystem, but different concrete bugs and different functions/files: #10400 fixes AutoPipeline.from_pipe optional-component comparison, while #11189 fixes set handling in pipeline_utils mandatory/optional component checking. They would not plausibly be merged into one PR 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": 24, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two bitsandbytes-related PRs in the same area, but they address different changes: one refactors int8 dequantization, the other enables multi-backend bitsandbytes support and removes the CUDA-only gate.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10574 is the broader, more central change: it updates environment validation and backend selection to support multi-backend bitsandbytes, with related test and utility changes.", + "best_issue_reason": null, + "best_pr_reason": "PR #10574 is the best representative of the cluster because it covers the main behavioral shift in bitsandbytes quantization support, whereas #10401 is a narrower helper refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10401", + "right": "pull_request:10574", + "accept": false, + "reason": "They only overlap on bitsandbytes utilities; #10401 changes dequantization logic, while #10574 changes backend validation and GPU requirement handling. Different concrete code paths, so not a 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": 25, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related model-search example PRs, but they are not the same concrete change: #9986 adds the model-search example and supporting setup, while #10417 later refactors the example to use auto-load helpers and update README snippets. I would keep them separate and treat #9986 as the canonical PR for the feature.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9986 is the broader, original feature addition for the model-search example and related setup; it best represents the underlying change cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #9986 is the strongest representative because it introduces the feature end-to-end, whereas #10417 is a narrower follow-up/example refinement.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10417", + "right": "pull_request:9986", + "accept": false, + "reason": "Same area and files, but different change intent: #9986 adds the model-search example stack, while #10417 only updates the example to use auto-load helpers. They do not look like the same fix/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": 26, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 distinct merged PRs that both harden community pipelines against missing components, but they fix different problems: one adds guards for missing UNet, the other for missing VAE. Similar pattern, not the same change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10440 is the better canonical representative because it is the broader, earlier fix for the 'without unet' case and touches the larger set of affected pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #10440 is the strongest overall representative of the cluster theme: it addresses a concrete initialization failure when pipelines are used without a UNet, across many community pipelines.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10440", + "right": "pull_request:10441", + "accept": false, + "reason": "Reject: these are different bug fixes. #10440 guards UNet-dependent version/sample-size checks when UNet is absent; #10441 guards VAE-dependent scale-factor setup when VAE is absent. They share a broad pattern but not the same underlying code path 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": 27, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs add support for forwarding custom attention kwargs, but they do so in different model-specific code paths (SD3 vs CogVideoX). They are related in theme, not the same concrete change, so this is not a duplicate pair.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9818 is the better canonical PR because it is the earlier, more general implementation of kwargs plumbing for custom attention processors and has an explicit issue target; PR #10456 is a separate CogVideoX-specific follow-up.", + "best_issue_reason": null, + "best_pr_reason": "PR #9818 is the strongest representative of this change family: it patches the shared SD3 attention path and is tied to an explicit issue, whereas PR #10456 is a separate model-specific adaptation in CogVideoX.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10456", + "right": "pull_request:9818", + "accept": false, + "reason": "Same broad feature area, but different model code paths and different concrete edits. This is not the same underlying bug/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": 28, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are both PRs about updating Stable Diffusion model references, but they target different model IDs and different scopes: #10476 updates code/examples from runwayml/stable-diffusion-v1-5 to stable-diffusion-v1-5 paths, while #9428 is a docs-only replacement to Lykon/dreamshaper-8. They are related in theme but not the same change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "#10476 is the stronger canonical PR for this cluster because it makes the broader code-path change across loaders/pipelines/examples, whereas #9428 is primarily documentation updates with a different model target.", + "best_issue_reason": null, + "best_pr_reason": "#10476 best represents the underlying maintenance pattern in this cluster: fixing hardcoded Stable Diffusion v1.5 repo paths in executable code, not just docs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10476", + "right": "pull_request:9428", + "accept": false, + "reason": "Different concrete changes and targets: #10476 updates code to new Stable Diffusion v1.5 paths, while #9428 replaces docs references with Lykon/dreamshaper-8. Same broad area, 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": 29, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items are merged PRs about improving diffusion test precision, but they touch different test areas and implement different fixes. They are related in theme, not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1052 is the cleaner representative: it has an explicit issue target and a focused change adding a helper for inpainting integration-test precision updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 1052 is the best cluster representative because it is the most concrete, well-scoped change with direct tracking context; PR 1113 is broader and less specific.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1052", + "right": "pull_request:1113", + "accept": false, + "reason": "Reject: both are test-precision improvements, but they modify different tests and expected artifacts, with no evidence they fix the same underlying code-path or 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": 30, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are all related test-skip cleanup PRs, but they target different test cases and code paths. They share a theme, not the same underlying change, so none should be merged as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11771 is the best representative of the cluster because it updates shared test infrastructure in `tests/models/test_modeling_common.py` and clearly fixes a concrete skip path with `pytest.skip()` rather than a broad test-only cleanup.", + "best_issue_reason": null, + "best_pr_reason": "PR #11771 is the strongest canonical PR candidate: it addresses a specific runtime skip behavior in a central shared test helper, whereas #10527 is a broad cross-file test annotation cleanup and #11793 is a separate UNet-only hotswapping test gate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10527", + "right": "pull_request:11771", + "accept": false, + "reason": "Both are test-skip related, but #10527 is a broad multi-file `unittest.skip()` cleanup while #11771 changes `test_modeling_common.py` for gradient-checkpointing skip behavior. Different tests and different concrete changes." + }, + { + "left": "pull_request:10527", + "right": "pull_request:11793", + "accept": false, + "reason": "#10527 adds `unittest.skip()` to several unsupported tests across many files; #11793 changes two UNet-only hotswapping tests in `test_modeling_common.py`. Same theme, not the same bug/change." + }, + { + "left": "pull_request:11771", + "right": "pull_request:11793", + "accept": false, + "reason": "Both touch `test_modeling_common.py`, but they fix different paths: gradient-checkpointing support vs UNet-only hotswapping skips. 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": 31, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related licensing-chore PRs, but they are not duplicates: two only bump copyright years, while 12001 also adds the missing license line.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true canonical duplicate. If one must be picked, 12001 is the broadest license-header cleanup, but it is a different change from the year-only updates.", + "best_issue_reason": null, + "best_pr_reason": "12001 is the most representative of the cluster\u2019s licensing work because it completes the license statement across several scripts, though it is still distinct from the year-only edits.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10615", + "right": "pull_request:11741", + "accept": false, + "reason": "Both are copyright-year bumps (2024\u21922025) in different file sets, but they are separate repo-wide chore passes rather than the same concrete change." + }, + { + "left": "pull_request:11741", + "right": "pull_request:12001", + "accept": false, + "reason": "11741 only updates the year in test headers, while 12001 adds the missing license sentence and touches different scripts; related licensing cleanup, but 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": 32, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The CogVideoX PRs (9080 and 9082) are the same underlying model-integration change and should be clustered; the EasyAnimate PR is a separate model addition and should not be merged with CogVideoX.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9082 is the clearest representative: it has the explicit CogVideoX title, is merged, and contains the full end-to-end model/pipeline/docs integration for that feature.", + "best_issue_reason": null, + "best_pr_reason": "PR 9082 is the best PR for the cluster because it is the more clearly scoped and documented CogVideoX implementation, while 9080 appears to be an earlier/less descriptive variant of the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9080", + "right": "pull_request:9082", + "accept": true, + "reason": "Same concrete feature: both add CogVideoX text-to-video support with the same core files and pipeline/model conversion pieces, so they look like duplicate/parallel versions of one PR." + }, + { + "left": "pull_request:10626", + "right": "pull_request:9082", + "accept": false, + "reason": "Different features: 10626 adds EasyAnimateV5.1 support, while 9082 adds CogVideoX support. They touch overlapping framework files, but not the same underlying model or code-path 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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The only near-duplicate pair is the two TensorRT community example PRs; the other PRs are unrelated changes and should stay separate.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:9037 is the best representative of the shared TensorRT community-pipeline update because it covers the same example/API migration theme as 8899, but across more of the community pipelines.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:9037 is the strongest canonical representative for the cluster\u2019s only cohesive change family; it best captures the TensorRT community example refresh, while the other PRs are unrelated dependency/library updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8899", + "right": "pull_request:9037", + "accept": true, + "reason": "Both PRs update TensorRT community pipeline examples and README usage to the newer DiffusionPipeline-style API; they are the same change family and could plausibly be merged into one PR." + }, + { + "left": "pull_request:8899", + "right": "pull_request:9969", + "accept": false, + "reason": "8899 is an example/pipeline code update, while 9969 is only a dependency version bump for huggingface-hub; different underlying change." + }, + { + "left": "pull_request:10721", + "right": "pull_request:9969", + "accept": false, + "reason": "10721 is a broad internal/latest-diffusers update touching loaders and model code, not the same concrete issue as a standalone dependency pin bump in 9969." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 cleanup for `Self` in diffusers mixin APIs, but they change different methods and code paths, so they are not duplicates of the same fix/change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11192 is the broadest representative of this cluster: it applies `Self` typing to two core mixin/config/scheduler APIs, making it the best single exemplar of the overall annotation cleanup theme.", + "best_issue_reason": null, + "best_pr_reason": "PR 11192 is the most representative single PR because it covers multiple related core utilities and reflects the broader API-typing sweep better than the more narrow single-method PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10742", + "right": "pull_request:11192", + "accept": false, + "reason": "Both add `Self` annotations, but they touch different APIs (`ModelMixin.from_pretrained` vs `ConfigMixin.from_config` / scheduler utilities) and are not the same concrete change." + }, + { + "left": "pull_request:10742", + "right": "pull_request:10811", + "accept": false, + "reason": "Different targets and behaviors: one annotates `ModelMixin.from_pretrained`, the other updates single-file loading mixins and pipeline utilities. Same theme, not the same PR." + }, + { + "left": "pull_request:10811", + "right": "pull_request:11192", + "accept": false, + "reason": "Both are type-hint refactors, but they modify different loader/mixin paths versus config/scheduler APIs; they would not plausibly merge into one bug-fix 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": 35, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are separate diffusers fixes. The only close pair is the two `safety_checker=None` PRs, but one handles CPU offload and the other handles saving/loading pipelines, so they should not be deduplicated. The other pairs are clearly unrelated.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1118 is the broadest and most self-contained `None`-component fix in the set, covering save/load behavior for pipelines with `safety_checker=None` and generalizing beyond a single runtime path.", + "best_issue_reason": null, + "best_pr_reason": "PR 1118 is the best representative of the cluster because it addresses a concrete, reusable pipeline serialization edge case and has the clearest generalized scope among the PRs shown.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1078", + "right": "pull_request:1118", + "accept": false, + "reason": "Both mention `safety_checker=None`, but they fix different code paths: 1078 prevents CPU-offload crashes, while 1118 handles saving/loading pipelines with missing components. Not the same underlying change." + }, + { + "left": "pull_request:1078", + "right": "pull_request:2166", + "accept": false, + "reason": "Unrelated fixes: one is about optional safety checker offload, the other removes an unnecessary model copy during sample generation in training." + }, + { + "left": "pull_request:2166", + "right": "pull_request:2258", + "accept": false, + "reason": "Different subsystems and bugs: training-time model unwrapping/copying versus an MPS cross-attention dtype issue. No shared 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": 36, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are superficially similar only because they contain small cleanup-style changes, but they target different code paths and different underlying changes. The cluster does not form a true duplicate set.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10836 is the best representative of the cluster because it is a merged, generic debug-print cleanup and covers more than one file, making it the broadest example of the shared theme.", + "best_issue_reason": null, + "best_pr_reason": "PR 10836 is the strongest global representative: it is merged, clearly a cleanup PR, and its changes are directly about removing stray prints without introducing unrelated behavior changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10836", + "right": "pull_request:11836", + "accept": false, + "reason": "Both remove debug output, but in different modules and unrelated code paths: model loading vs SCM timesteps. They are not the same underlying fix and would not be one coherent PR." + }, + { + "left": "pull_request:10836", + "right": "pull_request:12150", + "accept": false, + "reason": "This is not a duplicate cleanup PR; 12150 changes CogView4 normalization behavior and architecture details, while 10836 only removes prints. Different bug/change entirely." + }, + { + "left": "pull_request:11836", + "right": "pull_request:12733", + "accept": false, + "reason": "Different subsystems and different debug artifacts: scheduler print removal vs Flux2 saving a tensor to disk. Same broad theme, 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": 37, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are thematically similar, but they fix different callback-tensor omissions in different pipeline families and code paths. I would not cluster them as duplicates; the closest representative is the SD ControlNet callback-input fix in PR 10907.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10907 is the broadest and most central SD ControlNet callback-input fix here: it updates the base SD ControlNet pipeline and related img2img/inpaint variants to expose the missing `image` tensor to callbacks.", + "best_issue_reason": null, + "best_pr_reason": "PR 10907 is the best overall representative because it addresses a core ControlNet callback-input omission across multiple SD pipelines, while the others are narrower or for different model families.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10880", + "right": "pull_request:10907", + "accept": false, + "reason": "Different underlying fixes: 10880 targets SDXL ControlNet inpaint/img2img and adds `control_image`; 10907 targets SD ControlNet pipelines and adds `image`." + }, + { + "left": "pull_request:10907", + "right": "pull_request:11073", + "accept": false, + "reason": "11073 is a narrower SD inpaint-specific expansion adding `mask` and `masked_image_latents`; 10907 is about exposing `image` in SD ControlNet callbacks." + }, + { + "left": "pull_request:10907", + "right": "pull_request:10974", + "accept": false, + "reason": "Different pipeline families and tensors: 10907 is SD ControlNet with `image`, while 10974 is Flux ControlNet with `control_image`." + }, + { + "left": "pull_request:10974", + "right": "pull_request:11073", + "accept": false, + "reason": "These fix different code paths in different families: Flux ControlNet callback inputs vs. SD ControlNet inpaint callback inputs." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are both refactors in diffusers, but they target different model families and unrelated code paths: Flux vs SD3. The soft similarity is superficial, so they should not be clustered as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR #10882 is the broader and more self-contained refactor, but it is not a duplicate of #10881; it is the better representative only by scope, not by sameness.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10881", + "right": "pull_request:10882", + "accept": false, + "reason": "Different subsystems and code paths: #10881 removes extra Flux transformer code, while #10882 updates SD3 docs and SD3-specific model/attention code. They are 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": 39, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs touch the same remote decode test file, but they are not the same change: #10939 just swaps a VAE decode endpoint, while #10946 introduces shared endpoint constants and adds a slow test case. They look related in sequence, not duplicate.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "#10946 is the better representative because it contains the broader, more explicit test change set: shared endpoint constants plus a new slow test; #10939 is only a single endpoint update.", + "best_issue_reason": null, + "best_pr_reason": "#10946 best captures the cluster\u2019s theme of remote VAE decode test maintenance and has the most complete, self-contained change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10939", + "right": "pull_request:10946", + "accept": false, + "reason": "Same file and same endpoint area, but different underlying changes: #10939 updates one endpoint, while #10946 refactors endpoint constants and adds a slow test. 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": 40, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are not duplicates: one fixes a CogView4 text-encoder device reference, while the other adds IP-Adapter loading support to Flux Fill. They touch different pipelines and different code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for deduplication; these are unrelated pipeline-specific changes with different fixes and intents.", + "best_issue_reason": null, + "best_pr_reason": "PR 11622 is the stronger representative of its own change because it has a concrete issue target and a substantive feature addition, but it is not a duplicate of PR 10944.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10944", + "right": "pull_request:11622", + "accept": false, + "reason": "Different pipelines and different bugs: CogView4 device placement vs. Flux Fill IP-Adapter loading. 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": 41, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are tightly related variants of the same scheduler bug fix in duplicated DreamBooth training scripts. Two explicitly target issue #8384; the third applies the same corrected math to the LoRA variant. No separate issue is present.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11239 is the best canonical representative: it has an explicit issue link to #8384, a clear title, and the core scheduler fix in the main DreamBooth script. The other two are near-identical sibling variants for related example files.", + "best_issue_reason": null, + "best_pr_reason": "PR #11239 is the most suitable global representative because it is the most directly traceable to the tracked bug and uses the primary DreamBooth code path. PR #11240 is essentially the SDXL counterpart, and #10973 is the LoRA counterpart, so neither is a better single anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10973", + "right": "pull_request:11239", + "accept": true, + "reason": "Same underlying scheduler miscalculation in duplicated DreamBooth training code; both patch the same training-step/warmup math with essentially the same fix pattern and could plausibly be combined." + }, + { + "left": "pull_request:10973", + "right": "pull_request:11240", + "accept": true, + "reason": "Same bug and same fix pattern applied to closely related DreamBooth example scripts; this is a concrete code-path change, not just a shared topic." + }, + { + "left": "pull_request:11239", + "right": "pull_request:11240", + "accept": true, + "reason": "Both are near-identical fixes for the same LR scheduler counting bug in parallel DreamBooth variants and share the same explicit issue target #8384." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two pull requests fix different bugs in different parts of Diffusers: one changes PixArt one-step sampling behavior, the other fixes safetensors/variant loading compatibility. They are not duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11587 is the better cluster representative because it addresses a broader, reusable loading bug and includes tests; PR 11079 is a narrow model-specific inference fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 11587 is the strongest representative overall due to its general applicability and clearer bug scope; PR 11079 is more specialized to PixArt inference.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11079", + "right": "pull_request:11587", + "accept": false, + "reason": "Different underlying problems and code paths: PixArt scheduler output selection for num_inference_steps=1 vs. safetensors/variant file compatibility in pipeline loading. They do not look 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": 43, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 closed PRs make the same small parameter-name fix in similar UNet downsampler code, but they touch different files and appear to be parallel/duplicated fixes rather than one mergeable change. The merged PR is the better canonical representative.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1108 is the merged, completed fix and is the best single representative of this parameter-naming correction in the downsampler code.", + "best_issue_reason": null, + "best_pr_reason": "PR #1108 is preferable as the canonical PR because it was merged and cleanly captures the change in one concrete code path/file set; PR #977 is the earlier, unmerged counterpart.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1108", + "right": "pull_request:977", + "accept": false, + "reason": "They make the same small fix but in different files (`unet_2d_blocks.py` vs `unet_blocks.py`), so they are analogous duplicated edits rather than the same concrete change in one mergeable 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": 44, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs both modify `group_offloading.py`, but they address different problems: one changes onload/offload tensor movement, while the other changes execution-order tracking for streamed group offloading. They are related in subsystem, not the same concrete fix, so this is not a duplicate pair.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11097 is the better canonical representative because it targets a specific bug ('using streams') and explicitly links to issue 11041, making its scope clearer than the broader 'improvements' PR 11094.", + "best_issue_reason": null, + "best_pr_reason": "PR 11097 is the best single PR here because it is a focused bug fix with explicit issue linkage; PR 11094 is a separate change to offload/onload behavior and is not the same underlying problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11094", + "right": "pull_request:11097", + "accept": false, + "reason": "Shared file and subsystem only. 11094 updates parameter/buffer device transfers during onload/offload, while 11097 adjusts execution-order callbacks for stream-based group offloading. They do not appear to fix the same code-path bug 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": 45, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are near-duplicates around the same PIL output refactor: both add `numpy_to_pil` in `pipeline_utils.py` and update the same pipeline classes/tests to return PIL images. PR 112 is the broader/expanded version, but it is the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 111 is the cleaner canonical representative because it is the merged, concrete implementation of the PIL-output refactor across the shared pipeline code path.", + "best_issue_reason": null, + "best_pr_reason": "PR 111 is the strongest overall PR to keep: it is merged and addresses the same core pipeline-output conversion change as PR 112.", + "soft_edge_verdicts": [ + { + "left": "pull_request:111", + "right": "pull_request:112", + "accept": true, + "reason": "Both PRs implement the same code-path change: adding `numpy_to_pil` and converting diffusion pipeline outputs to PIL. The file overlap and diff preview indicate the same underlying refactor, with PR 112 just covering one additional pipeline class." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst\u2019s summary is grounded in the packet: both PRs share the same `pipeline_utils.py` `numpy_to_pil` addition and the same PIL-output refactor across overlapping pipeline/test files, while PR 112 only extends the change to `ddim`. The canonical-pr choice is also conservative because PR 111 is the merged implementation. The soft-edge acceptance is reasonable, and the changes do look mergeable as one bugfix PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 46, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two pull requests are present and they are not duplicates: one adjusts a quantization test's autocast context, the other changes SDXL img2img VAE dtype restoration logic. They touch different code paths and address different bugs.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11190 is the better canonical PR because it is merged, narrowly scoped, and the diff cleanly addresses a specific autocast test issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #11190 is the best overall PR candidate because it is merged and has the clearest, most self-contained fix. PR #11228 is unmerged and fixes a separate VAE dtype problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11190", + "right": "pull_request:11228", + "accept": false, + "reason": "Reject: these are different changes. #11190 fixes a test autocast context in bitsandbytes quantization tests, while #11228 changes VAE dtype restoration in the Stable Diffusion XL img2img pipeline. They do not appear to be 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": 47, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 v-prediction support, but they touch different code paths and are not duplicates: one updates DDPM internals, the other updates DDIM plus adds an example.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1313 is the more representative v-prediction change: it explicitly targets DDIM, updates the scheduler, and includes an example demonstrating the feature.", + "best_issue_reason": null, + "best_pr_reason": "PR #1313 is the best single PR for this cluster because it is the clearest end-to-end implementation of v-prediction behavior, not just a low-level helper change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1121", + "right": "pull_request:1313", + "accept": false, + "reason": "Both discuss v-prediction, but #1121 changes DDPM scheduler logic while #1313 changes DDIM and adds an example. They are related feature work, not the same concrete 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": 48, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11219-15", + "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", + "pull_request:13535" + ], + "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", + "pull_request:13270|pull_request:13535" + ], + "prepared_review_unit_hash": "f16a567d07b2e685ba57776d555ea9f459ee64c8bef141638198e39e45735882", + "component_budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 22, + "serialized_chars": 35732, + "estimated_input_tokens": 8933, + "estimated_eval_tokens": 18122 + }, + "budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 22, + "serialized_chars": 35732, + "estimated_input_tokens": 8933, + "estimated_eval_tokens": 18122 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "A loose XPU-focused cluster of mostly test-only PRs, plus a few broader runtime fixes; the shared theme is backend portability, but the items are not duplicates of the same bug/change.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11404 is the strongest representative: it includes actual runtime code changes in LoRA/GGUF handling plus XPU test enablement, so it is more substantive than the many one-off expectation tweaks.", + "best_issue_reason": null, + "best_pr_reason": "PR 11404 is the best overall representative because it fixes a concrete code path and spans multiple GGUF/XPU failures, whereas most other PRs only adjust test expectations for different pipelines.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11219", + "right": "pull_request:12350", + "accept": false, + "reason": "Both are XPU-related test fixes, but they target different tests and models; no evidence of the same underlying bug or change." + }, + { + "left": "pull_request:11219", + "right": "pull_request:11458", + "accept": false, + "reason": "One is a single mixed-int8 test tweak, the other is safe diffusion test setup changes; same platform theme, different failures." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11263", + "accept": false, + "reason": "Both adjust XPU test expectations, but they cover different pipelines and failure modes, so they are not the same change." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11264", + "accept": false, + "reason": "Different pipelines and expected outputs; this looks like separate XPU test stabilization work, not one duplicate fix." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11266", + "accept": false, + "reason": "Same general XPU testing theme, but the affected pipeline/test case is different." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11310", + "accept": false, + "reason": "These are distinct pipeline tests with different expected slices; no shared concrete bug." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11266", + "accept": false, + "reason": "Both are stable-diffusion-family XPU expectation updates, but for different tests and code paths." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11310", + "accept": false, + "reason": "Different stable diffusion test cases; the similarity is only that both needed XPU tolerance/expectation updates." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11458", + "accept": false, + "reason": "One is a single inpaint test expectation change, the other updates safe-diffusion test infrastructure and multiple cases." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11404", + "accept": false, + "reason": "One is a pipeline test expectation tweak, the other changes LoRA/GGUF runtime code; they do not fix the same concrete issue." + }, + { + "left": "pull_request:11265", + "right": "pull_request:11459", + "accept": false, + "reason": "Both are XPU test stabilizations, but they target different pipeline suites and different assertions." + }, + { + "left": "pull_request:11265", + "right": "pull_request:12350", + "accept": false, + "reason": "Distinct test cases in different model families; no indication of a shared underlying bug." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11310", + "accept": false, + "reason": "Both are XPU image-output expectation updates, but they are for different pipelines and not mergeable as one fix." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11458", + "accept": false, + "reason": "Different test files and failures; same backend theme only." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11444", + "accept": false, + "reason": "An IP-adapter expectation update and a unidiffuser test enablement are unrelated concrete changes." + }, + { + "left": "pull_request:11444", + "right": "pull_request:11458", + "accept": false, + "reason": "Both touch shared test utilities, but they fix different pipeline failures and are not the same bug." + }, + { + "left": "pull_request:11458", + "right": "pull_request:12350", + "accept": false, + "reason": "Safe-diffusion and marigold are separate pipelines with separate XPU issues." + }, + { + "left": "pull_request:11264", + "right": "pull_request:12350", + "accept": false, + "reason": "Different pipelines, different test slices, different failures; only the XPU backend is shared." + }, + { + "left": "pull_request:11266", + "right": "pull_request:12350", + "accept": false, + "reason": "These are unrelated pipeline test updates despite both being XPU-specific." + }, + { + "left": "pull_request:12350", + "right": "pull_request:12842", + "accept": false, + "reason": "Marigold and PixArt are different models with independent test expectations." + }, + { + "left": "pull_request:12842", + "right": "pull_request:13270", + "accept": false, + "reason": "PixArt test expectation changes and parallelism infrastructure changes are unrelated code paths." + }, + { + "left": "pull_request:13270", + "right": "pull_request:13535", + "accept": false, + "reason": "Both mention XPU, but one is parallelism test plumbing and the other is PEFT hotswap behavior; 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": 49, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related XPU CI/test-enablement PRs, but they address different test failures and code paths. PR 11759 is the broadest representative; the other two are narrower, distinct fixes.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11759 is the best canonical representative because it spans the widest set of XPU CI test adjustments across multiple files and subsumes the general theme of fixing test stability on XPU.", + "best_issue_reason": null, + "best_pr_reason": "PR 11759 is the strongest standalone choice for the cluster since it is the most comprehensive and directly aimed at getting multiple CI test cases passing on XPU.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11405", + "right": "pull_request:11406", + "accept": false, + "reason": "Both are XPU-related test enablement changes, but they fix different things: one updates test decorators for group offload/quanto, the other adds backend synchronization and updates layerwise-casting memory tests. They do not look like the same concrete fix." + }, + { + "left": "pull_request:11405", + "right": "pull_request:11759", + "accept": false, + "reason": "They overlap only at a broad XPU test-maintenance level and share one test file, but the concrete changes differ: 11405 targets group offload and quanto tests, while 11759 tweaks several unrelated pipeline test expectations and test setup. Not duplicate-level." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are related XPU/accelerator enablement and regression-fix PRs, but they target different tests, utilities, or code paths. I do not see true duplicate PRs here; they are best treated as separate maintenance changes within the same broad migration theme.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11654 is the broadest and most central change: it updates shared quantization/testing logic and touches many XPU-sensitive tests, making it the best representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 11654 best captures the cluster\u2019s main theme because it includes a shared code-path fix plus many downstream test updates, unlike the narrower test-only XPU enablement PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11445", + "right": "pull_request:11503", + "accept": false, + "reason": "Both are XPU-oriented test enablement, but they touch different integration suites and different files; not the same underlying fix." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11523", + "accept": false, + "reason": "Marigold intrinsics XPU support vs DiT XPU support are separate test targets and code paths." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11527", + "accept": false, + "reason": "Both are test migration work, but one is Marigold-specific while the other spans pipeline utilities and multiple other tests." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11654", + "accept": false, + "reason": "Marigold test-only XPU enablement is not the same change as shared quantization/config and multi-test XPU support." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12345", + "accept": false, + "reason": "Different subsystems: Marigold integration tests vs component-manager/offloading and LoRA-related XPU work." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12158", + "accept": false, + "reason": "Group offloading stream/device handling and GGUF XPU behavior are unrelated code paths." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11461", + "accept": false, + "reason": "Both mention XPU, but one is Marigold tests and the other is group offloading infrastructure plus several tests." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11503", + "accept": false, + "reason": "Group offloading changes are not the same as broad test-suite XPU enablement across multiple pipelines." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11507", + "accept": false, + "reason": "Group offloading code changes vs environment-printing updates are different underlying fixes." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11526", + "accept": false, + "reason": "Offloading infrastructure and several pipeline XPU test updates are related only at the accelerator level, not the same bug." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11523", + "accept": false, + "reason": "These enable different pipeline suites on XPU; they are separate test 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integration test migrations do not share a concrete fix path." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11527", + "accept": false, + "reason": "Different artifacts and code paths: env reporting vs test utility/loading and pipeline updates." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11620", + "accept": false, + "reason": "print_env XPU support is not the same issue as group_offloading test and helper changes." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11526", + "accept": false, + "reason": "DiT integration tests and several other pipeline tests are separate suites, not duplicates." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11654", + "accept": false, + "reason": "DiT XPU test enablement is distinct from torchao/quantization config changes and broader test updates." + }, + { + "left": "pull_request:11523", + "right": "pull_request:12214", + "accept": false, + "reason": "Different pipeline targets: DiT vs Bria." + }, + { + "left": "pull_request:11526", + "right": "pull_request:12214", + "accept": false, + "reason": "Both are pipeline XPU enablement PRs, but they cover different model families and test files." + }, + { + "left": "pull_request:11526", + "right": "pull_request:11527", + "accept": false, + "reason": "Related XPU migration work, but 11527 includes shared helper changes and different test groups." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11526", + "accept": false, + "reason": "Marigold-specific test enablement is separate from the broader set of pipeline tests in 11526." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11526", + "accept": false, + "reason": "Two different bundles of XPU test cases; same theme, not the same concrete bug." + }, + { + "left": "pull_request:11527", + "right": "pull_request:11654", + "accept": false, + "reason": "Both touch test utilities, but 11527 focuses on load_pt/test migrations while 11654 also changes quantization capability logic." + }, + { + "left": "pull_request:11527", + "right": "pull_request:11988", + "accept": false, + "reason": "Pipeline test utility changes vs quantization compile tests are different scopes and failures." + }, + { + "left": "pull_request:11620", + "right": "pull_request:12214", + "accept": false, + "reason": "Group offloading and Bria integration tests are unrelated code paths." + }, + { + "left": "pull_request:11620", + "right": "pull_request:12158", + "accept": false, + "reason": "Group offloading tests and GGUF inference tests are not the same underlying issue." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11620", + "accept": false, + "reason": "Marigold XPU test enablement and group offloading XPU support are separate areas." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11620", + "accept": false, + "reason": "Broad XPU test enablement vs group offloading-specific XPU changes." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11620", + "accept": false, + "reason": "Environment printing changes are unrelated to group offloading fixes." + }, + { + "left": "pull_request:11654", + "right": "pull_request:12345", + "accept": false, + "reason": "Quantization config / torchao support is a different code path from components-manager offloading and LoRA handling." + }, + { + "left": "pull_request:11654", + "right": "pull_request:11988", + "accept": false, + "reason": "Torchao quantization config/test updates are distinct from quant compile tests." + }, + { + "left": "pull_request:11988", + "right": "pull_request:12214", + "accept": false, + "reason": "Quant compile tests and Bria integration tests are different model/test paths." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11988", + "accept": false, + "reason": "Marigold XPU test enablement is unrelated to quant compile XPU support." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11988", + "accept": false, + "reason": "Different suites and failures: multi-pipeline test enablement vs quant compile tests." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12158", + "accept": false, + "reason": "Marigold integration tests and GGUF XPU test behavior are unrelated." + }, + { + "left": "pull_request:11503", + "right": "pull_request:12158", + "accept": false, + "reason": "General XPU test enablement is not the same as GGUF-specific inference/tolerance updates." + }, + { + "left": "pull_request:11507", + "right": "pull_request:12158", + "accept": false, + "reason": "print_env XPU support and GGUF model tests do not share a concrete fix." + }, + { + "left": "pull_request:11527", + "right": "pull_request:12214", + "accept": false, + "reason": "Shared test utility migration vs Bria-specific XPU enablement are different changes." + }, + { + "left": "pull_request:11654", + "right": "pull_request:12214", + "accept": false, + "reason": "Torchao/quantization and Bria pipeline support are unrelated code paths." + }, + { + "left": "pull_request:11527", + "right": "pull_request:12345", + "accept": false, + "reason": "Load/helper updates for test migration are not the same as component-manager offloading changes." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12345", + "accept": false, + "reason": "Group offloading stream handling and components-manager offloading are different implementation paths." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12408", + "accept": false, + "reason": "Marigold XPU test enablement is unrelated to the later PyTorch-regression fixes in 12408." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12408", + "accept": false, + "reason": "Group offloading infrastructure and latest-PyTorch test fixes are distinct issues." + }, + { + "left": "pull_request:11503", + "right": "pull_request:12408", + "accept": false, + "reason": "Broad XPU test enablement is not the same as a targeted regression fix for a newer PyTorch version." + }, + { + "left": "pull_request:11507", + "right": "pull_request:12408", + "accept": false, + "reason": "Environment-reporting support and test-failure fixes from latest PyTorch are unrelated." + }, + { + "left": "pull_request:11526", + "right": "pull_request:12408", + "accept": false, + "reason": "Different pipeline test bundles and different failure mode: generic XPU enablement vs PyTorch-update regressions." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12460", + "accept": false, + "reason": "Marigold XPU test support and a tolerance adjustment for Kandinsky controlnet are separate issues." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12460", + "accept": false, + "reason": "Group offloading work is unrelated to a single-test tolerance loosening." + }, + { + "left": "pull_request:11503", + "right": "pull_request:12460", + "accept": false, + "reason": "Broad XPU test enablement is not the same as a precision-tolerance change for one test." + }, + { + "left": "pull_request:11507", + "right": "pull_request:12460", + "accept": false, + "reason": "print_env XPU support has nothing to do with Kandinsky controlnet thresholds." + }, + { + "left": "pull_request:11527", + "right": "pull_request:12460", + "accept": false, + "reason": "Different targets: pipeline utility/test migration vs a single test's XPU tolerance tweak." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 51, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11567-2", + "nodes": [ + "pull_request:11567", + "pull_request:12583" + ], + "soft_pairs": [ + "pull_request:11567|pull_request:12583" + ], + "prepared_review_unit_hash": "ec21dc9e8245d3779bc6cc6d893feb4eb415dd3128c68f169dcdf9ec397c605d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5153, + "estimated_input_tokens": 1289, + "estimated_eval_tokens": 2834 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5153, + "estimated_input_tokens": 1289, + "estimated_eval_tokens": 2834 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are broad link-migration cleanups from arXiv URLs to Hugging Face Papers, but they appear to cover different file sets and scopes rather than one identical change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12583 is the better representative because its title is explicit and its scope spans examples plus source files, making it the broader 'ArXiv -> HF Papers' cleanup.", + "best_issue_reason": null, + "best_pr_reason": "PR #12583 is the strongest single representative of this duplicate-like family of paper-link migrations; #11567 is similar but more narrowly centered on docs pages.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11567", + "right": "pull_request:12583", + "accept": false, + "reason": "Same general URL migration theme, but the PRs touch different areas and do not look like one concrete change that could be merged as a single PR without being overbroad." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 52, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11593-2", + "nodes": [ + "pull_request:11593", + "pull_request:12057" + ], + "soft_pairs": [ + "pull_request:11593|pull_request:12057" + ], + "prepared_review_unit_hash": "7b473d22a0a3a7a24ad80ce22a14163114bd115dad18ab9bc33186e5e1336661", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5712, + "estimated_input_tokens": 1428, + "estimated_eval_tokens": 3112 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5712, + "estimated_input_tokens": 1428, + "estimated_eval_tokens": 3112 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are unrelated: one refactors First Block Cache internals and docs, while the other adds/adjusts QwenImage tests and minor 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They do not fix the same concrete code-path problem.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:12057 is the stronger canonical PR because it is merged, feature-specific, and self-contained around QwenImage; it also has tests and docs for the same change set.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:12057 is the best representative of this cluster since it is the completed merged change, whereas pull_request:11593 is an unrelated unmerged cache refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11593", + "right": "pull_request:12057", + "accept": false, + "reason": "Different subsystems and purposes: First Block Cache refactor vs QwenImage tests/minor refactor. 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They are not duplicates and should not be clustered together.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11665 is the strongest canonical representative only because it is merged and has the clearest, self-contained optimization in the set; the other PRs are unrelated changes in different code paths.", + "best_issue_reason": null, + "best_pr_reason": "PR #11665 is the best representative of the group: it is merged, concrete, and the most established example of the performance-optimization pattern in this set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11665", + "right": "pull_request:11667", + "accept": false, + "reason": "Both are speedup PRs, but they modify different models and different execution paths: AutoencoderKLWan.clear_cache versus Kandinsky3ConditionalGroupNorm.forward. They are not the same bug/change and would not plausibly be merged into one PR." + }, + { + "left": "pull_request:11666", + "right": "pull_request:11667", + "accept": false, + "reason": "These target unrelated code paths in different components: BLIP image postprocessing versus Kandinsky3 group norm broadcasting. Similar performance intent is too broad to treat 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": 54, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-76-2", + "nodes": [ + "pull_request:117", + "pull_request:76" + ], + "soft_pairs": [ + "pull_request:117|pull_request:76" + ], + "prepared_review_unit_hash": "97659fe59dde236127f9e72ca83f58fb1d4aaeb917099f20ddedb650eb299ff3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4259, + "estimated_input_tokens": 1065, + "estimated_eval_tokens": 2386 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4259, + "estimated_input_tokens": 1065, + "estimated_eval_tokens": 2386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are not duplicates: PR #117 only updates README quickstart documentation, while PR #76 is a code refactor across UNet model files. They do not appear to fix the same underlying bug or implement the same change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #76 is the better canonical PR for this cluster because it represents the substantive code change; PR #117 is just documentation and is not representative of the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #76 is the best overall representative among the PRs because it changes core model code, whereas PR #117 is a README-only update and should not be clustered with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:117", + "right": "pull_request:76", + "accept": false, + "reason": "README quickstart documentation update vs UNet model code refactor; different artifacts and no shared concrete bug/change 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": 55, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11723-2", + "nodes": [ + "pull_request:11723", + "pull_request:11780" + ], + "soft_pairs": [ + "pull_request:11723|pull_request:11780" + ], + "prepared_review_unit_hash": "e1bb1e6b9dfafaea8e9d0d123237ace4b4d11351d7defdd283f3c1a7adb33541", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4370, + "estimated_input_tokens": 1093, + "estimated_eval_tokens": 2442 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4370, + "estimated_input_tokens": 1093, + "estimated_eval_tokens": 2442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged pull requests that both add LoRA alpha/rank guidance to example READMEs, but they target different example flows and different files; this is topical similarity, not the same underlying fix/change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11723 is the broader representative: it updates the advanced diffusion training docs and associated training/test files, while #11780 is a narrower README-only Sana documentation tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #11723 is the best single representative because it covers the more complete LoRA metadata update across example docs and training code, not just one README.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11723", + "right": "pull_request:11780", + "accept": false, + "reason": "Both PRs discuss LoRA alpha/rank, but they change different README files for different example pipelines and do not fix the same concrete code-path problem. This is related documentation work, 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": 56, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are two unrelated merged LoRA-related PRs: one fixes unloading state for PEFT/Lora removal, the other optimizes LoRA scale expansion in the UNet loader. They do not look like the same underlying bug or change, so this is not a duplicate cluster.", + "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:11822", + "right": "pull_request:11834", + "accept": false, + "reason": "Different code paths and goals: 11822 changes LoRA unload/PEFT cleanup state in peft.py, while 11834 is a speed optimization in unet_loader_utils for expanding LoRA scales. They are not the same fix 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": 57, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 docs PRs both touch `docs/source/en/optimization/fp16.md`, but they are separate documentation updates: one rewrites/expands the regional compilation section, the other adds a tip linking a blog post. They are not the same underlying change and should not be deduplicated.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11837 is the better canonical representative because it makes the larger, more substantive documentation update to the optimization guide, while 11952 is a smaller follow-up link insertion.", + "best_issue_reason": null, + "best_pr_reason": "PR 11837 is the best single representative for the cluster since it covers the broader content change; 11952 is a narrow, unrelated docs addition in the same file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11837", + "right": "pull_request:11952", + "accept": false, + "reason": "Both are documentation-only PRs in the same file, but they address different sections and different goals: regional compilation wording vs. adding a diffusion performance blog link. They do not look like one merged change or the same underlying bug/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": 58, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This cluster is a set of related Diffusers pull requests around modular guider/cache work plus a later branch-merge PR. They share files because they evolve the same subsystem, but they are not the same concrete change set.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11893 is the broad umbrella integration PR that merges the modular diffusers branch back into main, so it best represents the cluster\u2019s endpoint and subsumes the other modular changes at a high level.", + "best_issue_reason": null, + "best_pr_reason": "PR #11893 is the most useful representative because it is the largest integration point and touches the widest set of affected files; the other PRs are narrower feature/infrastructure changes within that broader merge stream.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11860", + "right": "pull_request:11862", + "accept": false, + "reason": "Related subsystem, but different changes: PAG guider registration vs. adding ConfigMixin support across guiders. They are not the same underlying bug or fix and would not naturally be one PR." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11868", + "accept": false, + "reason": "11860 adds a new guider, while 11868 changes config serialization behavior. They overlap in guider files but address different code-paths and should remain separate." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is an umbrella merge-back PR, not the same concrete feature as 11860. Shared filenames alone are insufficient to treat them as duplicates." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11868", + "accept": false, + "reason": "Both are modular-guider infrastructure work, but one adds config registration and the other fixes serialization of custom config objects. Different underlying changes." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is a broad integration merge, not the same change as the ConfigMixin PR. They may overlap in touched files, but not in a single concrete bug or change." + }, + { + "left": "pull_request:11868", + "right": "pull_request:11893", + "accept": false, + "reason": "11868 implements config serialization support, whereas 11893 is a merge of modular diffusers with main. Not the same fix/change even though they share some 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": 59, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 both CI-speedup PRs, but they target different concrete changes: #11887 only raises GPU job parallelism, while #11926 makes broader PR CI edits across CPU/GPU workflows and tests. They are related in theme, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "#11887 is the best canonical PR: it is merged, focused on one specific CI bottleneck, and its scope is clearer than the broader WIP PR.", + "best_issue_reason": null, + "best_pr_reason": "#11887 is the strongest representative of the cluster because it is a completed, narrow change to a single workflow and best captures the underlying CI speedup theme without conflating unrelated edits.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11887", + "right": "pull_request:11926", + "accept": false, + "reason": "Both touch CI workflows, but #11887 only increases GPU job concurrency while #11926 changes multiple workflows and test execution settings; they do not fix the same underlying bug/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": 60, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are not duplicates. #1189 fixes a concrete runtime/device bug in DDIMScheduler noise creation, while #928 only adjusts tests and pipeline device placement in a test helper.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1189 is the canonical PR: it directly changes the DDIM scheduler code path to fix noise-device handling and MPS reproducibility, which is the substantive bug fix in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #1189 is the best representative because it addresses the underlying implementation bug; #928 is test-only and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1189", + "right": "pull_request:928", + "accept": false, + "reason": "Reject: #1189 fixes DDIM noise device logic in src/diffusers/schedulers/scheduling_ddim.py, while #928 only updates tests and moves test pipelines to the device. They do not fix the same concrete code-path problem 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": 61, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are not the same change: one forces an unconditional import, the other guards the text-cleaning call on ftfy availability. They target the same symptom area, yet they are different fixes and should not be deduplicated as one PR.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12314 is the better canonical PR because it is merged and fixes the ftfy error in the actual runtime path by guarding use of ftfy when unavailable.", + "best_issue_reason": null, + "best_pr_reason": "PR 12314 is the best PR representative since it is the merged, safer fix for the Wan pipeline ftfy error.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12023", + "right": "pull_request:12314", + "accept": false, + "reason": "Same file and related ftfy symptom, but 12023 changes the import strategy while 12314 guards the call site; they are distinct fixes and not merge-equivalent." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related Chinese documentation translation PRs in the same area, but they are successive follow-up translation passes rather than the same underlying change. The broadest/latest PR is 12194, while the soft edges should be rejected as non-duplicates.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:12194 is the broadest and most recent zh translation pass, with the largest doc surface and substantial _toctree expansion, so it is the best representative PR in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:12194 best represents the cluster because it covers the widest set of translated zh docs and subsystem navigation updates, making it the most comprehensive translation PR here.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12032", + "right": "pull_request:12194", + "accept": false, + "reason": "Both are zh translation PRs, but 12194 is a later continuation that adds different docs and toctree entries; they are related follow-ups, not the same concrete change." + }, + { + "left": "pull_request:12179", + "right": "pull_request:12194", + "accept": false, + "reason": "They overlap on zh documentation translation and _toctree.yml, but 12179 focuses on modular diffusers translations while 12194 expands broader optimization/inference docs; not a 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": 63, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 pull requests are effectively the same gguf quantization support change in the same file, with nearly identical added code. The later merged PR is the better canonical representative.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12076 is the merged version of the same change, with the more complete patch and the strongest evidence of being the final canonical implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR #12076 is the best overall PR because it was merged and contains the finalized form of the same code-path update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12049", + "right": "pull_request:12076", + "accept": true, + "reason": "Same title, same target file, and nearly identical diff adding IQ4_NL dequantization support; this looks like the same underlying change rather than 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": 64, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are similarly titled but address different model-specific attention implementations in different files: Wan vs. LTX. They do not look mergeable into one change or the same underlying fix.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No shared canonical PR: PR #12058 modifies Wan attention internals in transformer_wan.py, while PR #12615 modifies LTX attention behavior in transformer_ltx.py. They target different code paths and model families.", + "best_issue_reason": null, + "best_pr_reason": "PR #12058 is the better canonical PR only by virtue of being a merged, concrete implementation, but it is not a duplicate of #12615; the latter is a separate model-specific change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12058", + "right": "pull_request:12615", + "accept": false, + "reason": "Same broad theme (cross-attention) but different models, files, and code paths. The Wan PR sets an attention flag in transformer_wan.py; the LTX PR initializes cross-attention state in transformer_ltx.py. They are not the same bug/change and 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": 65, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two related but distinct PRs for the unconditional image generation example: one updates docs/dependencies to include wandb, the other adds a logger CLI option in the training script. They share a subsystem but do not look like the same mergeable change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1245 is the more canonical code change because it directly implements the wandb logger selection in `train_unconditional.py`; the other PR is a supporting docs/dependency update.", + "best_issue_reason": null, + "best_pr_reason": "PR 1245 is the best representative of the cluster because it contains the main functional behavior change, while PR 1209 is ancillary setup/documentation work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1209", + "right": "pull_request:1245", + "accept": false, + "reason": "Related to wandb support, but not the same concrete change: 1209 updates example docs/.gitignore and installs wandb, while 1245 changes the training script to add a logger argument and logging behavior. They could be merged separately and are 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": 66, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are both LoRA test-related, but they address different test behaviors: one fixes device placement for non-denoiser components during group-offloading tests, while the other removes redundant non-LoRA baseline output checks and caches outputs across several LoRA test files. They are not the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12298 is the broader, more representative test cleanup/change: it touches multiple LoRA test files and the shared test utility, all around caching non-LoRA outputs.", + "best_issue_reason": null, + "best_pr_reason": "PR #12298 is the best representative of the cluster because it is the larger and more central test refactor, whereas #12103 is a narrower device-placement fix in a single test path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12103", + "right": "pull_request:12298", + "accept": false, + "reason": "They target different problems: #12103 fixes device placement for non-denoiser components in group-offloading LoRA tests, while #12298 removes redundant non-LoRA baseline inference and caches outputs across LoRA tests. Shared test utility usage is not enough to make them 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": 67, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs both touch AutoEncoderKLWan tiling, but they fix different concrete bugs: one changes patchify/encode-decode path selection, the other fixes spatial compression ratio handling in tiled encode. They should not be treated as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12753 is the better canonical PR because it is merged and directly fixes a specific tiled-encode compression-ratio bug in AutoEncoderKLWan.", + "best_issue_reason": null, + "best_pr_reason": "PR #12753 is the strongest representative of the cluster: it is merged, narrowly scoped, and addresses a concrete code-path error. PR #12191 is open and targets a different tiling/patchify behavior.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12191", + "right": "pull_request:12753", + "accept": false, + "reason": "Same broad model class and file, but different bugs and code paths: #12191 changes when to patchify during encode/decode, while #12753 fixes tiled-encode latent compression ratio math. They are not the same underlying 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": 68, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items are merged documentation PRs, but they address different topics: one rewrites the community pipelines page, the other adds callback docs/API entries. They do not look like the same underlying change, so the soft duplicate edge 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": "pull_request:12201", + "right": "pull_request:12212", + "accept": false, + "reason": "Different doc updates in different areas of the docs tree; no shared concrete bug/change and 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": 69, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12206-4", + "nodes": [ + "pull_request:12206", + "pull_request:13075", + "pull_request:13093", + "pull_request:13514" + ], + "soft_pairs": [ + "pull_request:12206|pull_request:13093", + "pull_request:13093|pull_request:13514", + "pull_request:13075|pull_request:13093", + "pull_request:13075|pull_request:13514" + ], + "prepared_review_unit_hash": "9e74dc5604f91cced30c697cef29ca8f7d9600731d52b3bed69ff4f14f7dfe06", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9259, + "estimated_input_tokens": 2315, + "estimated_eval_tokens": 4886 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9259, + "estimated_input_tokens": 2315, + "estimated_eval_tokens": 4886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "`13093` and `13514` are the same gather-device compatibility fix in `_modeling_parallel.py` and should cluster together. `13075` is related by target/file but its evidence is only soft similarity plus the shared issue target, so it should stay separate rather than being auto-merged with the other two. `12206` is a different compatibility fix in `attention_dispatch.py` and is unrelated.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "`13514` is the best representative of the gather fix: it addresses the same `gather_size_by_comm` path, explicitly states the PyTorch < 2.6 compatibility constraint, and gives the most direct fallback behavior.", + "best_issue_reason": null, + "best_pr_reason": "`13514` is the strongest cluster representative because it is the clearest, most self-contained version of the shared distributed-gather compatibility patch in `_modeling_parallel.py`.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12206", + "right": "pull_request:13093", + "accept": false, + "reason": "Different subsystem and different bug: `12206` guards `torch.library.custom_op`/`register_fake` in `attention_dispatch.py`, while `13093` changes distributed gather device selection in `_modeling_parallel.py`." + }, + { + "left": "pull_request:13093", + "right": "pull_request:13514", + "accept": true, + "reason": "Same concrete code path and same compatibility bug in `gather_size_by_comm`; both patch older-PyTorch device selection in the same file and are plausible variants of one mergeable fix." + }, + { + "left": "pull_request:13075", + "right": "pull_request:13093", + "accept": false, + "reason": "They share the file and issue target, but the pairwise evidence is only soft similarity plus the common target; that is not enough to treat them as the same mergeable bugfix." + }, + { + "left": "pull_request:13075", + "right": "pull_request:13514", + "accept": false, + "reason": "Related context-parallel gather changes, but the evidence is still only shared target/file plus soft similarity, so this is not strong enough for a deterministic duplicate/merge decision." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall clustering is mostly grounded, but the soft-edge verdicts are too strong for 13075. In the packet, 13075 only shares the issue target/file with 13093 and 13514; its pairwise signal is not a deterministic accept, so saying those pairs are definitely mergeable variants of the same bugfix overstates the evidence. 13093\u219413514 is well supported; 12206 is correctly separated." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 70, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests are the same type-hint cleanup across the same transformer code paths; PR 12289 appears to be the merged, more complete superset of PR 12267.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12289 is the merged, more complete version of the same change set, with nearly identical edits plus an additional transformer file.", + "best_issue_reason": null, + "best_pr_reason": "PR 12289 is the best representative because it was actually merged and covers the same underlying fix with broader completion.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12267", + "right": "pull_request:12289", + "accept": true, + "reason": "Same underlying code change: the titles, touched files, and diff preview overlap heavily, and 12289 looks like a later merged superset of 12267 rather than a different 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": 71, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs touch the same docs page, but they are sequential, distinct documentation updates rather than duplicate changes; PR #12320 is the base introduction of the page.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12320 creates the new attention backends doc page and adds it to the toctree, making it the foundational artifact in this set.", + "best_issue_reason": null, + "best_pr_reason": "PR #12320 is the most representative because it introduces the page itself, while the others are later incremental edits to that page.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12320", + "right": "pull_request:12394", + "accept": false, + "reason": "Same documentation file, but not the same change: #12320 adds the page, while #12394 only makes small wording/tone edits to it." + }, + { + "left": "pull_request:12320", + "right": "pull_request:12486", + "accept": false, + "reason": "Different doc updates on the same page: #12486 adds a new checks section, so it is not a duplicate of the page-creation PR." + }, + { + "left": "pull_request:12394", + "right": "pull_request:12486", + "accept": false, + "reason": "Both are follow-up edits to the same docs page, but they address different content (minor wording tweaks vs. adding attention checks)." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are effectively two versions of the same pull request: same title, same broad refactor, and the same set of community pipeline files. The newer open PR looks like a continuation/replacement of the older closed draft PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12820 is the newer open version of the same refactor, so it is the best canonical PR candidate; #12322 appears to be an earlier closed draft of the same work.", + "best_issue_reason": null, + "best_pr_reason": "#12820 is the best representative because it is current, open, and matches the same scope/files as #12322 without adding evidence of a different change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12322", + "right": "pull_request:12820", + "accept": true, + "reason": "Same title, same file set, and same underlying refactor to introduce pipeline-specific mixins; #12820 looks like a continuation of #12322 rather than a different 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": 73, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two pull requests are effectively duplicates: they propose the same tiling fix in `autoencoder_kl_wan.py` with the same diff hunk and near-identical titles.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12342 is the better canonical PR because it is the open, current instance of the same fix; #12336 is a closed duplicate of the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #12342 best represents the cluster since it is the active PR and matches the same concrete code-path fix as #12336.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12336", + "right": "pull_request:12342", + "accept": true, + "reason": "Same file, same hunk, same tiling bug fix, and the diffs appear identical; 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": 74, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 items are near-duplicate documentation PRs adding CacheDiT to Diffusers docs. PR #12366 is the merged, more complete version and is the best canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12366 is the merged implementation and the fuller, later docs addition for the same CacheDiT community optimization page and toctree entry.", + "best_issue_reason": null, + "best_pr_reason": "PR #12366 best represents the cluster because it actually landed, covers the same two files, and appears to supersede the earlier duplicate docs PR #12351.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12351", + "right": "pull_request:12366", + "accept": true, + "reason": "Both PRs add the same CacheDiT documentation page and toctree entry under the same path; they are effectively the same documentation 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": 75, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The three PRs are related by a broad theme of removing `unittest` from test infrastructure, but they modify different code paths: shared testing utilities, single-file test mixins, and model tester helpers. They are not duplicates of the same change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12621 is the best canonical PR for the cluster because it changes the shared `tests/testing_utils.py` helpers used by many tests, replacing `unittest.skipUnless` with `pytest.mark.skipif` in the core slow/nightly decorators.", + "best_issue_reason": null, + "best_pr_reason": "PR #12621 is the strongest representative of the group: it is merged, touches the common test utility layer, and looks like the most central infrastructure change among the three. The other PRs are adjacent refactors in narrower test files rather than the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12352", + "right": "pull_request:12621", + "accept": false, + "reason": "Both are test-framework modernization work, but #12352 is a single-file model tester refactor while #12621 changes shared decorator utilities; they do not fix the same concrete bug or change the same code path." + }, + { + "left": "pull_request:12379", + "right": "pull_request:12621", + "accept": false, + "reason": "#12379 only removes `unittest` usage in `test_modeling_common.py`, whereas #12621 updates shared `testing_utils.py`; these are related cleanup tasks, 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": 76, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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, but they are distinct changes: #1236 adds pipeline support for predict_x0 and uneven jumps, while #1457 introduces a more extensive paired-timestep DDIM scheduler rewrite with helper/tests. They are related but not duplicates.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1457 is the stronger representative of the cluster because it is the more complete DDIM scheduler/pipeline change and includes supporting helper code and tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #1457 is the best overall candidate: it is broader, more self-contained, and better validated than the narrower pipeline-only tweak in #1236.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1236", + "right": "pull_request:1457", + "accept": false, + "reason": "Same subsystem, but not the same concrete fix. #1236 focuses on pipeline support for predict_x0 and uneven jumps; #1457 implements a different paired-timestep DDIM scheduler extension with additional helper/test changes. They are related but would not plausibly collapse 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": 77, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are only loosely related by group-offloading/testing keywords, but they do not look like duplicates of the same concrete bug or change. The cluster is a mix of a test-skip removal, a PEFT adapter cleanup fix, pytest migrations, and a separate group-offloading test adjustment.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13491 is the most directly about the concrete group-offloading-with-disk test failure and contains the most specific fix, so it best represents the cluster if one PR must be chosen.", + "best_issue_reason": null, + "best_pr_reason": "PR 13491 is the strongest representative of the actual group-offloading-with-disk test problem; the others are either unrelated fixes or broader test-framework refactors.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12382", + "right": "pull_request:13234", + "accept": false, + "reason": "Both touch group-offloading tests, but one only removes a Qwen-specific skip while the other is a broader pytest migration. Different changes and not the same concrete bug." + }, + { + "left": "pull_request:12639", + "right": "pull_request:13491", + "accept": false, + "reason": "12639 fixes leaf-level offloading after delete_adapters, while 13491 adjusts group-offloading disk tests. Different code paths and bugs." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13242", + "accept": false, + "reason": "Both are pytest migrations, but for different test files and subsystems. Same style of refactor, not the same change." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13491", + "accept": false, + "reason": "13234 is a test-framework migration; 13491 is a targeted group-offloading test fix. They are not the same underlying bug or mergeable single 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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are about adapting to Hugging Face Hub v1, but they solve different problems: one is temporary CI/test environment pinning, the other is the actual library compatibility change. They should not be clustered as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12389 is the substantive, merged code change that implements v0.x/v1.x compatibility in the library and tests. PR #12384 is a draft, temporary workflow-only adaptation for testing and should not be canonical.", + "best_issue_reason": null, + "best_pr_reason": "PR #12389 is the best representative of the underlying change because it directly updates dependencies and exception handling to support both huggingface_hub major versions, and it was merged.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12384", + "right": "pull_request:12389", + "accept": false, + "reason": "Related to the same ecosystem shift, but not the same change: #12384 only tweaks CI/workflows for temporary test compatibility, while #12389 changes runtime/library code to support huggingface_hub v0.x and v1.x. 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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are related to the Kandinsky 5 family, but they are not duplicates: 12478 introduces the original Kandinsky 5 integration, 12582 only fixes docs/navigation, and 12664 adds new image/video variants plus tests. The cluster is better treated as a theme group than a duplicate set.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12664 is the most complete representative of the Kandinsky 5 feature set, covering both image and video variants with the broadest code/test surface.", + "best_issue_reason": null, + "best_pr_reason": "PR 12664 is the best single representative because it reflects the most mature, user-facing Kandinsky 5 implementation; 12478 is the initial integration and 12582 is docs-only.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12478", + "right": "pull_request:12664", + "accept": false, + "reason": "Related subsystem, but different concrete changes: 12478 is the initial Kandinsky 5 add-on, while 12664 adds separate image/video lite/pro pipelines and tests. They could not plausibly be merged as the same PR." + }, + { + "left": "pull_request:12582", + "right": "pull_request:12664", + "accept": false, + "reason": "12582 is a docs-only rename/navigation cleanup, whereas 12664 introduces substantial new pipeline code and tests. 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": 80, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are related but not duplicates: #12545 adds the core Bria Fibo model/pipeline, while #12930 adds a separate Bria Fibo Edit pipeline built on the same family. They share some boilerplate and integration points, but they implement different concrete features and code paths.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12545 is the broader, more foundational Bria Fibo addition and has substantially more review activity; it is the better representative PR for this cluster, but it is not the same change as #12930.", + "best_issue_reason": null, + "best_pr_reason": "PR #12545 is the strongest representative because it introduces the base Bria Fibo pipeline/model and the associated docs/tests, making it the more central artifact in the set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12545", + "right": "pull_request:12930", + "accept": false, + "reason": "Different concrete changes: #12545 adds the base Bria Fibo model/pipeline, while #12930 adds a distinct Bria Fibo Edit pipeline. Shared package wiring and docs do not make them the same underlying fix 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": 81, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12555-2", + "nodes": [ + "pull_request:12555", + "pull_request:13518" + ], + "soft_pairs": [ + "pull_request:12555|pull_request:13518" + ], + "prepared_review_unit_hash": "52579e2b9b3033b3a9e7a1d411d830156a2de8a5359e1d3e04d0a544a23a8f1d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3725, + "estimated_input_tokens": 932, + "estimated_eval_tokens": 2120 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3725, + "estimated_input_tokens": 932, + "estimated_eval_tokens": 2120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs reference the same issue, but they fix different parts of onnxruntime support: one changes provider handling in `onnx_utils.py`, the other adds `onnxruntime-windowsml` to version detection in `import_utils.py`. They are related, but not the same concrete bug/change.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12555 is the broader, earlier fix and directly addresses the runtime provider-path change for `onnxruntime-windowsml`, making it the better representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 12555 is the strongest candidate because it changes the actual loading logic and is the more complete implementation of the feature/support request.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12555", + "right": "pull_request:13518", + "accept": false, + "reason": "Both mention issue 13062, but they modify different code paths: `onnx_utils.load_model` provider selection vs `import_utils` package detection. Related, but not the same fix and not something I\u2019d merge as a 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": 82, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are related attention-dispatch PRs, but they fix different concrete paths: one enables ulysses in the generic native attention path, the other adds CP support in native flash attention. Same file/subsystem, not the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No duplicate canonical PR: PR 12829 is a separate flash-attention CP support change, while PR 12563 targets the generic native attention path for ulysses enablement.", + "best_issue_reason": null, + "best_pr_reason": "PR 12829 is the better standalone representative because it has a narrower, clearer scope around native flash attention support and is not conflated with the separate native-attention ulysses change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12563", + "right": "pull_request:12829", + "accept": false, + "reason": "Different code paths and goals: native attention vs native flash attention. Related subsystem, but 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": 83, + "component_count": 265, + "review_unit_index": 1, + "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": "7be3e68fcd815f821114c3205cd005c5e84d95d2132c175bfa6fd5470d75ed62", + "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": "No PR duplicates here. Two PRs are loosely related CI dependency pin/unpin fixes, but they target different workflows and should stay separate; the BnB model fix is unrelated.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12671 is the broadest and most representative CI fix in the set, updating the nightly/release workflow to install prerelease transformers and handle huggingface_hub/accelerate compatibility.", + "best_issue_reason": null, + "best_pr_reason": "PR #12671 best fits the cluster as the clearest representative CI dependency workaround, and it covers multiple jobs in one workflow.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12617", + "right": "pull_request:12671", + "accept": false, + "reason": "Both are CI workflow dependency fixes, but they affect different workflow files and jobs (push tests vs nightly/release tests). They share a similar root cause but are not the same concrete change and would not naturally merge into one PR." + }, + { + "left": "pull_request:12617", + "right": "pull_request:13481", + "accept": false, + "reason": "These are unrelated changes: one is a CI workflow dependency update, the other is a model code fix for BnB int8 tensor shape 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": 84, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 set of related but separate scheduler maintenance PRs: mostly docstring and type-hint cleanups across different files. They are similar in style and often touch shared copied helpers, but they do not represent one duplicate bug/change. I would not merge any of the soft-edge pairs as duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12651 is the best canonical representative: it is one of the broadest cleanup PRs in the set and touches the shared scheduler/helper surface that many later file-specific refactors copy from.", + "best_issue_reason": null, + "best_pr_reason": "PR 12651 is the strongest global representative because it spans multiple scheduler modules and shared helper code, making it the most central example of the refactor pattern in this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12623", + "right": "pull_request:12654", + "accept": false, + "reason": "Different scheduler modules (`amused.py` vs `euler_discrete.py`); same maintenance style, but not the same concrete change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12676", + "accept": false, + "reason": "Separate file-specific doc/type-hint cleanup in unrelated scheduler code; not one underlying bug/change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12678", + "accept": false, + "reason": "Different code paths (`amused.py` vs `dpmsolver_sde.py`/`lms_discrete.py`); too broad to treat as duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12710", + "accept": false, + "reason": "Same refactor theme, but across different scheduler families and copied helpers; not mergeable as one PR." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12726", + "accept": false, + "reason": "Unrelated scheduler file cleanup; no shared concrete bug or code-path fix." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12766", + "accept": false, + "reason": "Different scheduler implementation and different edits; only the docstring/type-hint pattern is shared." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12767", + "accept": false, + "reason": "Separate file-level cleanup in a different scheduler module; not the same change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12796", + "accept": false, + "reason": "Different target file and refactor scope; no evidence of the same underlying fix." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12798", + "accept": false, + "reason": "Only stylistically similar; the PRs touch different schedulers and code paths." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12871", + "accept": false, + "reason": "Different scheduler families and helper updates; not a single code-path bug or fix." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12928", + "accept": false, + "reason": "`amused.py` vs `consistency_decoder.py`; different modules, so not duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12931", + "accept": false, + "reason": "Separate scheduler docs/type-hint cleanup in a different file; not the same change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12936", + "accept": false, + "reason": "Different scheduler file and scope; only the maintenance pattern is shared." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12992", + "accept": false, + "reason": "Despite overlapping scheduler themes, these are broad but distinct file-family cleanups, not one merged PR." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13010", + "accept": false, + "reason": "Different file and different implementation surface; not the same concrete bug/change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13020", + "accept": false, + "reason": "`amused.py` vs `ddim_inverse.py`; unrelated scheduler cleanup targets." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler modules and no shared concrete fix beyond style cleanup." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13024", + "accept": false, + "reason": "Different file-specific cleanup; not the same underlying change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13027", + "accept": false, + "reason": "Different scheduler family and code path; too broad to deduplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12676", + "accept": false, + "reason": "Both are doc/type-hint cleanups, but they target different schedulers (`euler_discrete.py` vs `pndm.py`)." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler helper/code paths; not the same bug or change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12710", + "accept": false, + "reason": "Overlapping style, but distinct multi-file scheduler cleanup PRs; not one concrete fix." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12726", + "accept": false, + "reason": "Different scheduler modules and no shared code-path issue." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12766", + "accept": false, + "reason": "Separate maintenance PR for another scheduler; not duplicate-worthy." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12767", + "accept": false, + "reason": "Different file-specific cleanup target; same theme only." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12796", + "accept": false, + "reason": "Different scheduler family and distinct edits; not the same change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12798", + "accept": false, + "reason": "Different module and change set; only broadly similar refactoring." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12871", + "accept": false, + "reason": "Touching different scheduler implementations; no single shared bug/change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12928", + "accept": false, + "reason": "Different files and different scheduler logic; not duplicates." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12931", + "accept": false, + "reason": "`euler_discrete.py` cleanup vs `consistency_models.py` cleanup; unrelated targets." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12936", + "accept": false, + "reason": "Different scheduler module and scope; same style of change, not same change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12992", + "accept": false, + "reason": "Both are broad scheduler cleanups, but they are separate PRs over different file sets and not one concrete fix." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13010", + "accept": false, + "reason": "Different module and refactor surface; no evidence of same underlying bug/change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13020", + "accept": false, + "reason": "Separate scheduler files with distinct edits; not duplicate fixes." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler target (`euler_discrete.py` vs `ddim_parallel.py`); not the same change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13024", + "accept": false, + "reason": "Different scheduler family and code path; only similar doc/type-hint cleanup." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13027", + "accept": false, + "reason": "Separate PRs touching different schedulers and helpers; not one underlying fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12678", + "accept": false, + "reason": "`pndm.py` and `lms_discrete.py`/`dpmsolver_sde.py` are different scheduler implementations; not duplicates." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12710", + "accept": false, + "reason": "Different scheduler families and file sets; similar documentation cleanup only." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12726", + "accept": false, + "reason": "Separate file-specific refactors; not the same concrete change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12766", + "accept": false, + "reason": "Different scheduler module and edits; no same underlying bug/change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12767", + "accept": false, + "reason": "Different file and scope; just the same cleanup pattern." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12796", + "accept": false, + "reason": "Separate scheduler cleanup PRs; not mergeable as one bugfix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12798", + "accept": false, + "reason": "Different code paths in different scheduler implementations." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12871", + "accept": false, + "reason": "Different target schedulers and helper changes; not the same change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12928", + "accept": false, + "reason": "Different modules; no shared concrete fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12931", + "accept": false, + "reason": "`pndm.py` cleanup vs `consistency_models.py` cleanup; unrelated." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12936", + "accept": false, + "reason": "Different scheduler file and change scope; same style only." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12992", + "accept": false, + "reason": "Broad scheduler cleanups, but separate file families and distinct PRs." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13010", + "accept": false, + "reason": "Different file-specific cleanup target; not the same underlying bug/change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13020", + "accept": false, + "reason": "Different scheduler implementations and edits; not duplicates." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13023", + "accept": false, + "reason": "Different schedulers (`pndm.py` vs `ddim_parallel.py`); not one concrete fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13024", + "accept": false, + "reason": "Different module and change set; only style similarity." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13027", + "accept": false, + "reason": "Different scheduler family and code path; not the same PR/change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12651", + "accept": false, + "reason": "Both are scheduler cleanup PRs, but they touch different file groups and are not the same concrete refactor." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12654", + "accept": false, + "reason": "Overlapping scheduler helper surface, but the file sets and edits are distinct enough that these are separate cleanup PRs." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12676", + "accept": false, + "reason": "Different scheduler families and change sets; same documentation/type-hint theme only." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12678", + "accept": false, + "reason": "Different helper/code-path edits in different scheduler modules; not one bug/change." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12710", + "accept": false, + "reason": "Both are broad scheduler cleanups, but not the same underlying change and not safely mergeable into one PR." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12726", + "accept": false, + "reason": "Different scheduler file families; no identical change target." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12766", + "accept": false, + "reason": "Different scheduler modules and distinct cleanup scope." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12767", + "accept": false, + "reason": "Separate file-specific cleanup PRs; not duplicates." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12796", + "accept": false, + "reason": "Different scheduler implementations and distinct doc/type-hint changes." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12798", + "accept": false, + "reason": "Different modules and edit sets; not the same change." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12871", + "accept": false, + "reason": "Different scheduler families and code paths; only similar refactoring style." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12928", + "accept": false, + "reason": "`consistency_decoder.py` vs the broad scheduler cleanup in 12651; different change targets." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12931", + "accept": false, + "reason": "Different file and module; not the same underlying bug/change." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12936", + "accept": false, + "reason": "Different scheduler cleanup target; similar but not duplicate." + }, + { + "left": "pull_request:12651", + "right": "pull_request:12992", + "accept": false, + "reason": "Both are broad scheduler doc/type-hint sweeps, but they touch different file groups and should remain separate." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13010", + "accept": false, + "reason": "Different scheduler file and change scope; not one concrete fix." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13020", + "accept": false, + "reason": "Different scheduler module and edits; not duplicates." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13023", + "accept": false, + "reason": "Different file-specific cleanup target; not the same underlying change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12651", + "accept": false, + "reason": "Different scheduler cleanup targets; the overlap is stylistic, not a shared code-path 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": 84, + "component_count": 265, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are mostly related scheduler docstring/type-hint cleanup PRs, but they target different files and code paths; they are not duplicates of the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12622 is the best representative because it is an early, broad scheduler cleanup touching several related files and reflects the common pattern in the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 12622 is the strongest cluster representative: broad scope, early in the sequence, and closest to the shared docstring/type-hint cleanup theme across schedulers.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12651", + "right": "pull_request:13024", + "accept": false, + "reason": "Both are scheduler cleanup PRs, but they edit different modules and different concrete helpers; same style of refactor, not the same change." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13027", + "accept": false, + "reason": "Different target files and different modifications; they share a general cleanup theme but not a single underlying bug or change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12654", + "accept": false, + "reason": "Both are broad docstring/type-hint edits across schedulers, but they are separate file-specific cleanup passes, not one mergeable fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12676", + "accept": false, + "reason": "This is the same general documentation cleanup pattern, but it targets different scheduler code and is not the same concrete change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler modules and different helpers are being updated; not a duplicate code-path fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12710", + "accept": false, + "reason": "Overlapping subsystem, but distinct scheduler APIs and file sets; these are separate cleanup PRs." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12726", + "accept": false, + "reason": "Both are doc/type-hint cleanups, but they concern different scheduler implementations and changes." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12766", + "accept": false, + "reason": "The shared scheduler area is too broad; the concrete edits are in different files and functions." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12767", + "accept": false, + "reason": "Separate cleanup to a different scheduler module; same theme, not the same underlying change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12796", + "accept": false, + "reason": "Different scheduler code paths and file scope; not a duplicate PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12798", + "accept": false, + "reason": "These are separate scheduler docstring/type-hint updates, not one same fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12871", + "accept": false, + "reason": "The PRs touch different scheduler implementations and update different methods; not the same concrete change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12928", + "accept": false, + "reason": "Different module and different target edits; same cleanup style only." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12931", + "accept": false, + "reason": "This is a different scheduler file with its own typing/docstring updates, not a duplicate." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12936", + "accept": false, + "reason": "Same broad cleanup wave, but separate code paths and no shared concrete change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12992", + "accept": false, + "reason": "Both are scheduler cleanup PRs, but they are distinct file groups and not one mergeable fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13010", + "accept": false, + "reason": "Different target module and unrelated docstring/type-hint edits; not a duplicate." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13020", + "accept": false, + "reason": "Both touch DDIM-family code, but they update different files and helpers; not the same underlying bug/change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler implementation and different concrete edits; same refactor theme only." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13024", + "accept": false, + "reason": "These are separate file-specific cleanup PRs in the same subsystem, not the same change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13027", + "accept": false, + "reason": "Different scheduler files and different API/type-hint updates; not a duplicate." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12651", + "accept": false, + "reason": "Both are docstring/type-hint cleanups, but they affect different scheduler files and functions." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12623", + "accept": false, + "reason": "Same general cleanup campaign, but different scheduler modules and no shared 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": 85, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are four distinct pull requests: one adds Z-Image support, one is a Z-Image follow-up bugfix/test PR, and the other two add unrelated model families (LongCat-Image and NucleusMoE-Image). None should be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12703 is the broadest and most central artifact here: it introduces the Z-Image series support and adds the core files and exports. It is the best representative of the only feature area that has a follow-up PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 12703 is the best single representative because it is the foundational Z-Image implementation, while 12715 is a later bugfix/test follow-up and 12828/13317 are separate model additions.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12703", + "right": "pull_request:12715", + "accept": false, + "reason": "Related to the same Z-Image codebase, but not the same change: 12703 adds support, while 12715 fixes dtype/mask handling and tests. This is a follow-up bugfix PR, not a duplicate." + }, + { + "left": "pull_request:12703", + "right": "pull_request:12828", + "accept": false, + "reason": "Different underlying feature and model family: Z-Image versus LongCat-Image. Shared scaffolding files do not make them the same change." + }, + { + "left": "pull_request:12703", + "right": "pull_request:13317", + "accept": false, + "reason": "Different underlying feature and model family: Z-Image versus NucleusMoE-Image. They are not the same bug or change." + }, + { + "left": "pull_request:12715", + "right": "pull_request:12828", + "accept": false, + "reason": "Different model families and different code paths; 12715 is a Z-Image fix/test PR, while 12828 adds LongCat-Image support." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This cluster is a set of unrelated scheduler PRs that mostly share broad docs/typing cleanup patterns, not the same underlying change. No duplicate issue is present; the most central PR is a broad scheduler-docstring cleanup, but it is still distinct from the others.", + "confidence": 0.64, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13083 is the broadest and most central scheduler-docstring cleanup in the set, touching several of the recurring DPMSolver-family files.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13083 is the best representative of the cluster\u2019s theme because it spans multiple scheduler docstring edits, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12724", + "right": "pull_request:13031", + "accept": false, + "reason": "Different targets: paper-link docs update across schedulers vs Flax deprecation warnings." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13044", + "accept": false, + "reason": "Different scheduler files and different doc edits; only broad docs similarity." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13083", + "accept": false, + "reason": "Both are scheduler docs PRs, but they change different files and different text." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs link update vs code/typing changes in DPMSolver-SDE; not the same change." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13122", + "accept": false, + "reason": "Different files and different doc content; no shared underlying bug/change." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13083", + "accept": false, + "reason": "Both are docs-only scheduler PRs, but they edit different files and unrelated docstrings." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13085", + "accept": false, + "reason": "One is docs cleanup; the other changes DPMSolver-SDE typing/runtime code." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13122", + "accept": false, + "reason": "Different scheduler modules and different docstring updates." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13127", + "accept": false, + "reason": "Different files and different docstring/typing changes; not mergeable as one PR." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13130", + "accept": false, + "reason": "Different scheduler classes and distinct docstring edits." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13160", + "accept": false, + "reason": "Different files; one updates a paper link, the other revises FlowMatchLCM docs/types." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13198", + "accept": false, + "reason": "Different scheduler modules and unrelated docstring changes." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13085", + "accept": false, + "reason": "Docstring cleanup in multiple schedulers vs DPMSolver-SDE typing/runtime edits." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13122", + "accept": false, + "reason": "Overlap is only broad scheduler docs; these are separate files and separate edits." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13127", + "accept": false, + "reason": "Different scheduler families and different docstring/type changes." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13130", + "accept": false, + "reason": "Different files and different docstring adjustments; not the same underlying change." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13160", + "accept": false, + "reason": "Different scheduler implementations and unrelated documentation changes." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13198", + "accept": false, + "reason": "Distinct scheduler files with different docstring updates." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13122", + "accept": false, + "reason": "Different code paths: DPMSolver-SDE typing changes vs EDM DPMSolver docs cleanup." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13127", + "accept": false, + "reason": "Different scheduler implementations and different edit types." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13130", + "accept": false, + "reason": "DPMSolver-SDE code/typing change is unrelated to FlowMatch-Heun docs edits." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13160", + "accept": false, + "reason": "Different scheduler families and no shared concrete bug/change." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13198", + "accept": false, + "reason": "Different modules and different change types; not duplicates." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13127", + "accept": false, + "reason": "Shared docs theme only; these touch different schedulers and different text." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13130", + "accept": false, + "reason": "Different scheduler classes and unrelated docstring changes." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13160", + "accept": false, + "reason": "EDM DPMSolver docs vs FlowMatchLCM docs/types; different underlying changes." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13198", + "accept": false, + "reason": "Different scheduler files and separate docstring edits." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13130", + "accept": false, + "reason": "Different scheduler implementations and different APIs/types." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13160", + "accept": false, + "reason": "Different files and different docstring/type updates; no common fix." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13198", + "accept": false, + "reason": "Different schedulers and unrelated docstring 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": 87, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are both z-image-related PRs, but they address different changes: one is a RoPE implementation refactor inside the transformer, the other is the modular z-image pipeline addition and package exports. They should not be clustered as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12808 is the stronger canonical PR because it is the merged, broader z-image feature integration and includes the actual module/package wiring; #12725 is an earlier, narrower transformer refactor that did not merge.", + "best_issue_reason": null, + "best_pr_reason": "PR #12808 is the best representative of the cluster because it is merged, more complete, and central to the z-image modular pipeline work. PR #12725 is a separate internal refactor and is not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12725", + "right": "pull_request:12808", + "accept": false, + "reason": "Both mention z-image, but the diffs target different code paths and purposes: #12725 changes RoPE application in the transformer, while #12808 adds modular pipeline plumbing and exports. They are not the same underlying fix/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": 88, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs touch the same file but fix different empty-tensor edge cases in different code paths: PR 12743 guards image padding position-id creation, while PR 12770 adjusts caption padding mask handling for TPU/XLA repeat behavior. They are related but not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12770 is the stronger canonical PR because it is merged, has a clear concrete bug fix, and the diff directly addresses the empty-dimension/XLA repeat failure path.", + "best_issue_reason": null, + "best_pr_reason": "PR 12770 is the best representative because it is merged and fixes the more explicit compatibility bug; PR 12743 appears to be a separate unmerged padding fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12743", + "right": "pull_request:12770", + "accept": false, + "reason": "Different underlying bugs: 12743 changes image padding position IDs when image_padding_len > 0, while 12770 changes caption pad-mask handling for empty dimensions / TPU repeat compatibility. Same file and theme, but 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": 89, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs address the same bug in `from_pipe()` where a new pipeline was being forced to `float32` instead of preserving the source pipeline\u2019s dtype. They touch the same file, target the same issue, and the second PR is a clearer direct implementation of the same fix.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13103 is the cleaner canonical PR: it directly sets the default to `pipeline.dtype` and clearly states the intended behavior, while PR 12762 uses `None` as an intermediate mechanism to achieve the same outcome.", + "best_issue_reason": null, + "best_pr_reason": "PR 13103 is the best representative because it most explicitly and directly fixes the dtype-preservation behavior in `from_pipe()` with minimal ambiguity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12762", + "right": "pull_request:13103", + "accept": true, + "reason": "Same concrete bug in `from_pipe()` defaulting to float32; both PRs aim to preserve the source pipeline dtype and could be merged into one fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs target the same issue, touch the same file, and each changes the `from_pipe()` default away from `torch.float32` to preserve the source pipeline dtype. The soft-edge verdict is conservative enough, since the two diffs look like alternative implementations of the same bugfix and appear mergeable into one PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 90, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12784-5", + "nodes": [ + "pull_request:12784", + "pull_request:13520", + "pull_request:13522", + "pull_request:13524", + "pull_request:13528" + ], + "soft_pairs": [ + "pull_request:12784|pull_request:13520", + "pull_request:13520|pull_request:13522", + "pull_request:13520|pull_request:13524", + "pull_request:13524|pull_request:13528" + ], + "prepared_review_unit_hash": "4336a87c9508e5e13bd5daf147961446f64fc8c6254df0649b5aa147ac4f6326", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 9725, + "estimated_input_tokens": 2432, + "estimated_eval_tokens": 5120 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 9725, + "estimated_input_tokens": 2432, + "estimated_eval_tokens": 5120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are mostly unrelated example-script fixes. Two PRs in the same Flux2 Dreambooth script point at the same AttributeError theme but propose conflicting arg names, so they are not duplicates; the diffusion_dpo, onnxruntime, and textual_inversion changes are separate bugs in different code paths.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the items address different scripts and different bugs, and the Flux2 pair is conflicting rather than a mergeable duplicate.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR for deduplication; 12784 and 13520 are the closest in wording but their fixes conflict, while the others are unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12784", + "right": "pull_request:13520", + "accept": false, + "reason": "Same file and similar title, but they change opposite sides of the argument-name mismatch (`validation_image_path` vs `validation_image`). They are not the same mergeable change." + }, + { + "left": "pull_request:13520", + "right": "pull_request:13522", + "accept": false, + "reason": "Different example scripts and different bugs: one fixes a validation-image attribute error, the other fixes `beta_dpo` usage in the IPO loss calculation." + }, + { + "left": "pull_request:13520", + "right": "pull_request:13524", + "accept": false, + "reason": "Unrelated code paths in different scripts; one is Flux2 Dreambooth validation, the other is onnxruntime logging/argument handling." + }, + { + "left": "pull_request:13524", + "right": "pull_request:13528", + "accept": false, + "reason": "Different scripts and different fixes: one changes logger/reporting checks, the other adds a missing `--report_to` argument to textual inversion bf16." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are near-identical fixes for the same DPMSolverMultistep timestep-duplication bug. #12788 is related to the same scheduler and issue target, but the evidence only supports loose similarity; it is not strong enough to treat it as the same concrete fix or fold it into the same PR cluster.", + "confidence": 0.66, + "canonical_issue_reason": null, + "canonical_pr_reason": "#13240 is the cleanest representative of the near-identical pair: it cleanly targets the timestep rounding/duplication logic in the shared scheduler code with the most focused patch.", + "best_issue_reason": null, + "best_pr_reason": "#13240 is the best overall representative because it is the most focused and clearly scoped version of the shared fix, while #13239 is effectively a close variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13239", + "right": "pull_request:13240", + "accept": true, + "reason": "Same file, same issue target, and effectively the same timestep-rounding fix for the same scheduler code path; these look like near-identical variants of one change." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13239", + "accept": false, + "reason": "They share the issue target and file, but the evidence is only soft similarity and the patch in #12788 is broader/different enough that it is not clearly the same concrete fix." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13240", + "accept": false, + "reason": "Shared scheduler context and issue target are not enough here; #12788 does not look confidently mergeable as the same underlying bugfix as #13240." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary overstates the evidence for PR #12788: the packet only shows shared issue/file and generic soft similarity with #13239/#13240, while the pairwise signals are explicitly non-deterministic for those comparisons. It is safe to group #13239 and #13240 as near-identical fixes, but not to claim all three PRs are the same underlying bugfix or that #12788 could clearly be folded into the same PR. The soft-edge verdicts for #12788 should be more conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 92, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related workflow-maintenance PRs, but they are not duplicates: one is a broad Node 24 compatibility upgrade across many GitHub Actions, while the other is a smaller follow-up that bumps a few specific actions to newer major versions.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12865 is the broader, more central workflow-actions compatibility upgrade and covers the main Node 24 migration across many workflows.", + "best_issue_reason": null, + "best_pr_reason": "PR #12865 is the best representative of the cluster because it addresses the larger underlying maintenance change; #12866 is narrower and partially overlapping.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12865", + "right": "pull_request:12866", + "accept": false, + "reason": "They overlap in workflow files, but the concrete changes differ: #12865 upgrades many actions for Node 24 compatibility, while #12866 separately bumps Docker and typos actions to newer versions. They are related maintenance PRs, 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": 93, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are about the same QwenImage split-attention work. PR #12870 is the cleaner, focused implementation; PR #12869 is a draft and includes broader docs/benchmarking plus related pipeline edits.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12870 is the best canonical PR because it is the more focused code change: it updates attention backend dispatch and the QwenImage transformer/pipeline support without the extra draft/docs churn seen in #12869.", + "best_issue_reason": null, + "best_pr_reason": "PR #12870 is the best representative of the cluster since it targets the core backend implementation directly and is less noisy than #12869, which mixes in documentation and performance notes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12869", + "right": "pull_request:12870", + "accept": true, + "reason": "Strong title and filename overlap around QwenImage split attention backends, including shared core files. #12869 looks like the broader draft/documentation-heavy version of the same feature work that #12870 continues in a more focused form." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two PRs are both small additions to `AUTO_TEXT2IMAGE_PIPELINES_MAPPING`, but they add different pipeline registrations (`OvisImagePipeline` vs `PRXPipeline`). They touch the same file and pattern, yet they fix distinct missing entries and are not the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: each PR registers a different pipeline class in `auto_pipeline.py`, so they are separate changes rather than duplicates.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a duplicate of the other; if forced to pick a representative, PR 12876 is the earlier, simpler mapping addition, but it does not subsume PR 13257.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12876", + "right": "pull_request:13257", + "accept": false, + "reason": "Same subsystem and same file, but different concrete mappings/classes. They do not fix the same code-path problem 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": 95, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two Mellon-related PRs overlap on one utility file, but they are not the same change: one is a narrow schema tweak, the other is a broader docs/integration update.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13051 is the better canonical PR because it is the more complete Mellon's work item, spanning code plus docs and related pipeline changes, while 12978 is a smaller utility-only tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 13051 is the strongest representative of the cluster\u2019s theme: it covers the broader Mellon's feature/doc integration and is more suitable as the primary reference than the narrowly scoped 12978.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12978", + "right": "pull_request:13051", + "accept": false, + "reason": "Shared filename alone is not enough: 12978 only adds a new optional field and excludes it from serialization, while 13051 is a broader Mellon's docs/integration PR touching multiple files. They do not look like the same concrete bug fix or a single 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": 96, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 both torchao-related cleanups, but they target different changes: #13048 removes autoquant docs/references, while #13405 removes AffineQuantizedTensor-specific repr handling and updates tests. The shared file is not enough to treat them as the same underlying change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue is present; as a canonical PR, #13405 is the more code-path-focused change because it alters torchao quantizer behavior and tests, whereas #13048 is primarily documentation/cleanup.", + "best_issue_reason": null, + "best_pr_reason": "#13405 is the best representative PR for the cluster because it makes the substantive quantizer implementation change, while #13048 is a separate docs-focused cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13048", + "right": "pull_request:13405", + "accept": false, + "reason": "Different underlying changes: autoquant doc/reference removal versus AffineQuantizedTensor repr cleanup in the quantizer. They do not fix 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": 97, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs make the same fix in `ZImagePipeline`: change `do_classifier_free_guidance` from `> 1` to `> 0` in `src/diffusers/pipelines/z_image/pipeline_z_image.py`. They appear to be duplicate implementations of the same concrete bug fix, with #13183 being the merged version.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13183 is the best canonical PR because it is the merged, closed implementation of the exact same code change and has slightly richer completion signals (review/inbound reference).", + "best_issue_reason": null, + "best_pr_reason": "PR #13183 is the best representative PR for this fix because it is already merged and directly resolves the threshold bug in the affected code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13094", + "right": "pull_request:13183", + "accept": true, + "reason": "Same file, same function, same one-line threshold change, and both target the same underlying Z-Image guidance bug; they are effectively 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": 98, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The cluster centers on ZImageControlNet.from_transformer, but only 13102 and 13128 are true duplicate fixes for the weight-sharing bug; 13136 takes a different freezing-based approach.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "13128 is the strongest representative: it replaces shared module assignment with a state_dict-based reconstruction and adds tests, making it the most complete fix for the weight-sharing bug.", + "best_issue_reason": null, + "best_pr_reason": "13128 is the best PR to represent the cluster because it addresses the same bug as the other duplicate fix, but with a more robust implementation and test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13102", + "right": "pull_request:13128", + "accept": true, + "reason": "Same underlying bug in from_transformer: both aim to stop controlnet/transformer weight sharing. 13128 is just a more complete implementation of that fix." + }, + { + "left": "pull_request:13102", + "right": "pull_request:13136", + "accept": false, + "reason": "13102 removes shared references, while 13136 intentionally keeps sharing and freezes modules instead. Different concrete change and not the same fix." + }, + { + "left": "pull_request:13128", + "right": "pull_request:13136", + "accept": false, + "reason": "13128 reconstructs modules to avoid sharing; 13136 keeps shared modules and adds freezing logic. These are different remedies for the same area, not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: all three PRs target the same file and issue, and the distinction between 13102/13128 (two ways to eliminate weight sharing) versus 13136 (intentional sharing plus freezing) is conservative. The soft-edge decisions are supported by the diffs and titles, and the representative PR choice for 13128 is justified by the added state_dict-based reconstruction and tests." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 99, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related PRs fix an incorrect prev_timestep calculation in scheduler step logic, but they target different scheduler implementations and are not the same concrete change.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13108 is the cleaner canonical PR: it has an explicit issue target, a narrowly scoped one-file fix, and directly addresses the bug in DDIMScheduler.step().", + "best_issue_reason": null, + "best_pr_reason": "PR #13108 is the best representative of the cluster because it is the most specific fix and has the strongest linkage to a tracked issue; #13125 is a separate scheduler-port of the same pattern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13108", + "right": "pull_request:13125", + "accept": false, + "reason": "They share the same bug pattern, but they change different scheduler code paths (DDIM vs CogVideoX/DPM CogVideoX) and would not plausibly be merged into one PR without broadening scope." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13109-2", + "nodes": [ + "pull_request:13109", + "pull_request:13517" + ], + "soft_pairs": [ + "pull_request:13109|pull_request:13517" + ], + "prepared_review_unit_hash": "c587fd507c56a5ac432a7b5567a2a86c56d1e06e61c6b71943bdac03275a816d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4301, + "estimated_input_tokens": 1076, + "estimated_eval_tokens": 2408 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4301, + "estimated_input_tokens": 1076, + "estimated_eval_tokens": 2408 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch Sana guidance handling, but they address different failure points and are not safe duplicates: one defaults missing guidance inside the embedding module, while the other fixes forward-path dispatch and explicit validation when `guidance_embeds=True`.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13517 is the better canonical PR: it targets the model\u2019s actual forward dispatch bug for `guidance_embeds=True` and handles the non-guidance pipeline mismatch explicitly, rather than only papering over missing guidance inside one helper.", + "best_issue_reason": null, + "best_pr_reason": "PR #13517 is the best fit because it addresses the concrete code-path problem in `SanaTransformer2DModel.forward` and is the more complete, safer fix for the crash scenario.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13109", + "right": "pull_request:13517", + "accept": false, + "reason": "Related theme, but not the same change: #13109 makes `SanaCombinedTimestepGuidanceEmbeddings` tolerate missing guidance by defaulting to ones, while #13517 changes the transformer forward routing and raises when `guidance_embeds=True` without guidance. They fix different layers and could conflict in 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": 101, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13110-2", + "nodes": [ + "pull_request:13110", + "pull_request:13516" + ], + "soft_pairs": [ + "pull_request:13110|pull_request:13516" + ], + "prepared_review_unit_hash": "e91fa0e881a0fd250df3d84cf74084f0c5dacf378046e87d60e460859553a71f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4179, + "estimated_input_tokens": 1045, + "estimated_eval_tokens": 2346 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4179, + "estimated_input_tokens": 1045, + "estimated_eval_tokens": 2346 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same fix for AuraFlow\u2019s positional-embedding bounds bug: they add a guard that rejects latent sizes larger than the pretrained grid to prevent out-of-range indexing / CUDA asserts. They should be treated as duplicates, with one canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13516 is the stronger canonical choice because it contains the same bounds check plus a fuller explanation of the crash mode and failure context for oversized latents.", + "best_issue_reason": null, + "best_pr_reason": "PR 13516 best represents the cluster because it targets the same concrete code path, explains the CUDA/device-side-assert failure, and adds the protective validation needed to fix it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13110", + "right": "pull_request:13516", + "accept": true, + "reason": "Same file, same issue target, and same underlying fix: reject latents larger than the positional embedding grid before centered indexing can go out of range. These are duplicate PRs for 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": 102, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are all about Kohya LoRA loading in the same conversion code, but they split into two concrete fixes: a lora_te1_ prefix handling fix and a Flux.2/Musubi tuner conversion fix. Only the Flux.2-focused pair looks like the same underlying change; the TE-prefix PR is a related but separate bugfix.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13118 is the broadest umbrella for the shared Flux/Kohya loader work and explicitly covers both the TE-prefix and Flux.2 dev cases, so it best represents the cluster theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #13118 is the best single representative because it spans both concrete loader fixes in the same code path, while the other two PRs are narrower slices of that work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13118", + "right": "pull_request:13188", + "accept": false, + "reason": "Related area, but not the same underlying change: #13118 bundles Flux.2 conversion changes as well, while #13188 is specifically the lora_te1_ prefix fix." + }, + { + "left": "pull_request:13118", + "right": "pull_request:13189", + "accept": true, + "reason": "Both target the Flux.2/Kohya loader conversion path and the diff suggests the same code-path fix around Flux.2 support; they look like overlapping implementations of the same concrete change." + }, + { + "left": "pull_request:13188", + "right": "pull_request:13189", + "accept": false, + "reason": "They address different bugs: one is TE-prefix recognition, the other is Flux.2/Musubi tuner loading. Same subsystem, but 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": 103, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two pull requests target unrelated problems: one fixes attention backend shape handling in core diffusion code, while the other patches a PyTorch/XLA Flux inference example for TPU execution. They do not look like the same underlying change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No duplicate PR pair is present here; if a single PR must be chosen as the cluster representative, PR #13182 is the stronger canonical candidate because it is a core library bugfix rather than an example-script workaround.", + "best_issue_reason": null, + "best_pr_reason": "PR #13182 is the better global representative because it addresses a concrete production code-path in attention dispatch, whereas PR #13457 is a TPU example-specific workaround.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13182", + "right": "pull_request:13457", + "accept": false, + "reason": "Reject: they fix different issues in different code paths. #13182 changes attention_dispatch lse broadcasting for flash/flash3 backends; #13457 changes a Flux XLA example and pipeline flag handling for TPU inference. They are not plausibly 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": 104, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three separate Helios pull requests: a documentation paper-link fix, a code-path float conversion fix, and a broader docs optimization update. They are related by topic but do not look like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13222 is the broadest Helios docs change and shares the main pipeline documentation file with 13213, so it is the best single representative of the cluster. It still does not subsume the code fix in 13214.", + "best_issue_reason": null, + "best_pr_reason": "PR 13222 is the best representative artifact here because it is the largest and most central documentation update, but it should not be treated as a duplicate of the other two PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13213", + "right": "pull_request:13214", + "accept": false, + "reason": "Different changes: docs paper-link cleanup vs. a float-casting fix in optimized_scale. They touch different files and different code paths." + }, + { + "left": "pull_request:13213", + "right": "pull_request:13222", + "accept": false, + "reason": "Both are Helios docs changes, but one fixes a paper link while the other changes memory-usage guidance and example code. Not the same underlying change." + }, + { + "left": "pull_request:13214", + "right": "pull_request:13222", + "accept": false, + "reason": "One is a code fix in the pipeline implementation; the other is documentation optimization guidance. Shared subsystem alone is not enough to merge 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": 105, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 add `permissions: contents: read` to different CI workflows to satisfy workflow-permissions scanning, but they are separate workflow files and not the same concrete change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13233 is the cleaner representative: it targets the main PR test workflow directly and uses a broader, more general title for the permissions fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #13233 best captures the underlying pattern of adding workflow permissions to PR tests, whereas #13230 is a narrower GPU-workflow-specific variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13230", + "right": "pull_request:13233", + "accept": false, + "reason": "Same class of workflow-permissions fix, but applied to different workflow files with different scopes; they are not the same underlying 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": 106, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13246-2", + "nodes": [ + "pull_request:13246", + "pull_request:13512" + ], + "soft_pairs": [ + "pull_request:13246|pull_request:13512" + ], + "prepared_review_unit_hash": "2076e6f2a419f6e2e56946e9cb015062e3f298d9e8975317d464c3f27395a67d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4469, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4469, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs fix the same FlowMatchEulerDiscreteScheduler bug: sigma_min/sigma_max were being stored after shifting, which caused set_timesteps to apply the shift twice. PR #13246 is the stronger canonical candidate because it includes tests and is the more complete patch; PR #13512 is a near-identical follow-up/duplicate on the same code path.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13246 is the best canonical PR: it fixes the bug in the scheduler and includes the accompanying test file, making it the more complete and representative change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13246 is the best overall PR because it contains the core code fix plus tests, whereas #13512 is the same fix with only a slightly different explanation/commenting and no broader completeness.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13246", + "right": "pull_request:13512", + "accept": true, + "reason": "Accept: both PRs modify the same scheduler to move sigma_min/sigma_max assignment before shifting, addressing the same double-shift bug in the same code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: both PRs touch the same scheduler file, target the same issue, and implement the same unshifted sigma_min/sigma_max fix. The soft-edge acceptance is conservative enough, and choosing #13246 as canonical because it also includes tests is supported by the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 107, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 separate PRs in the same LoRA conversion helper: one adds LoKr/Z-image key support, the other makes alpha-key lookup tolerant of missing keys. They address different bugs and should not be deduplicated.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "13250 is the stronger canonical PR for this cluster: it has the more concrete feature/bug fix, explicit issue linkage, and a clearer end-to-end code-path change. 13260 is a separate defensive fix in the same helper.", + "best_issue_reason": null, + "best_pr_reason": "13250 is the best representative of the cluster because it is the more substantial and specific change, with direct LoKr format handling rather than a small guard around alpha lookup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13250", + "right": "pull_request:13260", + "accept": false, + "reason": "Different underlying problems in the same file: 13250 adds LoKr/Z-image format conversion support, while 13260 only changes missing-alpha 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": 108, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13272-2", + "nodes": [ + "pull_request:13272", + "pull_request:13513" + ], + "soft_pairs": [ + "pull_request:13272|pull_request:13513" + ], + "prepared_review_unit_hash": "48d81b9f9d08f65442c1ebd5f13edcc71be7dd97dd5bb1d59a3a9c53b3264bfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same Lumina2 bug: `image_seq_len` was incorrectly derived from latent channels instead of spatial patch tokens. The fixes are effectively the same code change against the same file and issue target, so they should be clustered together.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13513 is the cleaner canonical PR: it makes the same fix as #13272, includes a more explicit explanation of the bug, and is the later refinement of the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13513 is the best representative because it is the same functional fix with clearer rationale and no extra unrelated scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13272", + "right": "pull_request:13513", + "accept": true, + "reason": "Same underlying Lumina2 bug, same explicit issue target, same file, and the diff changes the same computation of `image_seq_len` from channels to spatial patch tokens. The second PR is essentially a rewrite/commented version of the first, so 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": 109, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13273-2", + "nodes": [ + "pull_request:13273", + "pull_request:13510" + ], + "soft_pairs": [ + "pull_request:13273|pull_request:13510" + ], + "prepared_review_unit_hash": "3e1663c393bb740e2679c854980fb6473e94a49f3851b0d126cc05452681b742", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5213, + "estimated_input_tokens": 1304, + "estimated_eval_tokens": 2864 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5213, + "estimated_input_tokens": 1304, + "estimated_eval_tokens": 2864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two DreamBooth PRs share the same tracking issue, but they fix different bugs in the validation path: one prevents gradient tracking during validation, the other restores fp32 training params after validation mutates model dtype. Not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13510 is the more concrete, failure-specific fix: it directly addresses the fp16 crash after validation by re-upcasting trainable params after `log_validation` mutates model dtype.", + "best_issue_reason": null, + "best_pr_reason": "PR #13510 is the best representative of the cluster because it targets the explicit crash mode described in its title and diff, rather than a broader validation hygiene change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13273", + "right": "pull_request:13510", + "accept": false, + "reason": "Related through the same issue target, but not the same underlying bug. #13273 wraps validation in `torch.no_grad()`, while #13510 fixes dtype corruption after validation causes fp16 training to crash. Different code paths and failure modes." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs target AWS Neuron support in diffusers, but they address different aspects: PR #13289 is the broader foundational device-support work, while PR #13485 is a narrower follow-up focused on torch.compile compatibility. They overlap in subsystem and files, but not in the same concrete bug/change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13289 is the better canonical representative because it is the broader, earlier device-support change and appears to contain the main Neuron enablement work that the follow-up builds on.", + "best_issue_reason": null, + "best_pr_reason": "PR #13289 is the best overall representative of the cluster since it covers the larger official Neuron support effort rather than only the compile-compatibility slice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13289", + "right": "pull_request:13485", + "accept": false, + "reason": "Reject: the PRs are related but not the same underlying change. #13289 is about officially supporting AWS Neuron as a device; #13485 is specifically about torch.compile compatibility on Neuron. Shared files alone are not enough to treat them as duplicates 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": 111, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are all about the same DreamBooth prior-preservation repeat-count bug pattern, but only the two Flux2 PRs are close enough to be duplicate candidates. The Qwen-image PR fixes a separate script/code path and should stay separate.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13415 is the best canonical PR: it is merged, directly addresses the Flux2 repeat bug, and is the cleanest representative of the fix in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #13415 is the strongest overall representative because it is merged and narrowly fixes the same concrete Flux2 prior-preservation repeat logic without extra scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13307", + "right": "pull_request:13396", + "accept": false, + "reason": "Same bug pattern, but different training script/code path (Flux2 vs Qwen-image). Too broad to treat as the same PR-level duplicate." + }, + { + "left": "pull_request:13307", + "right": "pull_request:13415", + "accept": true, + "reason": "Both fix the Flux2 DreamBooth prior-preservation repeat-count bug in the same code path, and the changes are plausibly mergeable into one PR." + }, + { + "left": "pull_request:13396", + "right": "pull_request:13415", + "accept": false, + "reason": "They address similar behavior, but in different example scripts with different implementations; not the same concrete change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary correctly distinguishes the shared prior-preservation repeat bug pattern from PR-level duplicate scope, and the soft-edge verdicts are cautious: Flux2 PRs are plausibly mergeable as the same fix, while the Qwen-image PR is a separate script/code path. No evidence is overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 112, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two pull requests are effectively the same feature branch: PR #1426 is a rebased/updated version of PR #1334, with the same title, nearly identical file set, and the same audio pipeline additions. They should be clustered together as one underlying change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1426 is the best canonical PR because it is the later merged version of the same change set, while #1334 is the earlier unmerged predecessor.", + "best_issue_reason": null, + "best_pr_reason": "PR #1426 is the strongest representative because it is the finalized merged implementation of the audio pipeline feature and supersedes #1334.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1334", + "right": "pull_request:1426", + "accept": true, + "reason": "Same underlying change: same feature title, almost identical modified files, and #1426 appears to be the updated/merged continuation of #1334." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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/title, but they are not the same underlying change. PR #13354 is a smaller Claude action/workflow tweak, while PR #13374 makes a different, broader update (checkout behavior, config sanitization, and fetching the PR diff) and was merged.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13374 is the better canonical PR because it is the merged, more complete implementation of a later workflow update, whereas #13354 is an earlier, smaller variant with different edits.", + "best_issue_reason": null, + "best_pr_reason": "PR #13374 is the best PR in this cluster: it is merged and represents the fuller workflow change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13354", + "right": "pull_request:13374", + "accept": false, + "reason": "Same file and similar title, but the diffs are materially different: #13354 changes permissions, pins the action, and edits the prompt; #13374 changes checkout flow, restores base config, and adds a PR diff step. They do not look mergeable as one single 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": 114, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 distinct feature PRs: one adds an LTX Video modular pipeline and the other adds a HunyuanVideo 1.5 modular pipeline. They share framework scaffolding but not the same underlying model integration or code path.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the changes target different model-specific pipelines and different module directories, so they are not duplicates.", + "best_issue_reason": null, + "best_pr_reason": "If a representative PR is needed, #13389 is slightly more central because it has more inbound references and is the broader follow-on integration, but it is still a separate feature from #13378.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13378", + "right": "pull_request:13389", + "accept": false, + "reason": "Different underlying additions (LTX Video vs HunyuanVideo 1.5) with distinct pipeline files and model-specific blocks; shared scaffolding is not enough to merge 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": 115, + "component_count": 265, + "review_unit_index": 1, + "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": "ed58cac4034ce4fd2339a2fe7414959ff302ae9bf232973fa7627bd2900401aa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6685, + "estimated_input_tokens": 1672, + "estimated_eval_tokens": 3600 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6685, + "estimated_input_tokens": 1672, + "estimated_eval_tokens": 3600 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target QwenImage negative-prompt handling, but they fix different concrete failure modes: #13379 fixes the embedded-text path when the mask is absent, while #13449 changes CFG gating so precomputed negative embeddings still count as a negative prompt. Related, but not the same change.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13379 is the best canonical PR because it is merged, has explicit issue linkage, and appears to be the broader accepted fix for the negative-prompt/missing-mask path across QwenImage variants.", + "best_issue_reason": null, + "best_pr_reason": "PR #13379 is the strongest representative of the cluster: it is merged, touches the relevant code paths, and addresses the concrete negative_prompt_embeds-with-none-mask bug directly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13379", + "right": "pull_request:13449", + "accept": false, + "reason": "They are adjacent QwenImage CFG/negative-prompt fixes, but not the same underlying bug. #13379 focuses on handling a missing mask in embedding extraction; #13449 changes the has_neg_prompt condition so CFG is not silently disabled when negative embeddings are supplied without a mask." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 116, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13390-2", + "nodes": [ + "pull_request:13390", + "pull_request:13511" + ], + "soft_pairs": [ + "pull_request:13390|pull_request:13511" + ], + "prepared_review_unit_hash": "a621f5608f9ba657d09cf815feca4d96a9b71b1c66443edb9cb6b8578a3f0f41", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5587, + "estimated_input_tokens": 1397, + "estimated_eval_tokens": 3050 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5587, + "estimated_input_tokens": 1397, + "estimated_eval_tokens": 3050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated feature PRs: one adds the LongCat-AudioDiT pipeline, the other adds AutoPipelineForText2Audio support. They overlap on package wiring/docs, but not on the same code-path change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13390 is the better canonical PR because it is merged and contains a complete, concrete feature implementation for a new LongCat-AudioDiT pipeline, with model, pipeline, docs, and tests. PR #13511 is a separate auto-pipeline feature and not the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13390 is the best representative of the cluster: it is the larger, merged, self-contained change. PR #13511 is only loosely related via shared framework wiring and should not be grouped as the same PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13390", + "right": "pull_request:13511", + "accept": false, + "reason": "Do not merge: #13390 adds a specific LongCat-AudioDiT pipeline implementation, while #13511 adds AutoPipelineForText2Audio support. They touch some shared init/dummy/docs files, but the underlying changes and code paths are different and would not plausibly 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": 117, + "component_count": 265, + "review_unit_index": 1, + "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": "f7507b413fa09976f04a284c1405b2844955f342d44a786b88cbb50bd4d61431", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18863, + "estimated_input_tokens": 4716, + "estimated_eval_tokens": 9688 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18863, + "estimated_input_tokens": 4716, + "estimated_eval_tokens": 9688 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is a set of loosely related cleanup PRs (docstring grammar, duplicate words, and missing f-string prefixes), but most pairs are too broad to be true duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13408 is the best cluster representative: it is a broad, closed docstring/error-message cleanup and most closely matches the shared theme of the cluster without being overly narrow.", + "best_issue_reason": null, + "best_pr_reason": "PR 13408 is the strongest overall representative because it has the broadest cleanup scope and best reflects the cluster\u2019s recurring grammar/docstring fix pattern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13402", + "right": "pull_request:13408", + "accept": false, + "reason": "Same general cleanup theme, but the edits are in different files with different wording fixes; not the same concrete bug or change." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13414", + "accept": false, + "reason": "Both are grammar/docstring cleanup PRs, but they touch different modules and fix different text issues; too broad to merge as one change." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13403", + "accept": false, + "reason": "13403 fixes missing f-string prefixes in BnB quantizer logs, which is a different issue than 13402\u2019s duplicate-word/docstring cleanup." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13413", + "accept": false, + "reason": "Both edit model docs, but they address different models and different wording mistakes; not the same underlying fix." + }, + { + "left": "pull_request:13403", + "right": "pull_request:13407", + "accept": false, + "reason": "Both involve f-string corrections, but across different pipelines and code paths; this looks like separate cleanup work, not one duplicate change." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13414", + "accept": false, + "reason": "They share a broad grammar-cleanup theme, but the actual edits are different across different files; not the same concrete PR." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13413", + "accept": false, + "reason": "13413 is a focused possessive-grammar cleanup in autoencoder docs, while 13408 is a wider mix of docstring/error-message edits; not a duplicate." + }, + { + "left": "pull_request:13413", + "right": "pull_request:13414", + "accept": false, + "reason": "Both are wording fixes, but they target different subsystems and different exact text changes; too little evidence they are 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": 118, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two related PRs target the same scheduler, but they are not the same change: #13412 adds the monotonicity validation plus docs/tests, while #13466 is a narrow follow-up tightening the explicit sigma-schedule check. Do not deduplicate them as one PR.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "#13412 is the broader, original scheduler update with docs and tests; it best represents the main change set compared with the later follow-up fix in #13466.", + "best_issue_reason": null, + "best_pr_reason": "#13412 is the best PR candidate because it contains the full feature/fix scope and validation coverage, whereas #13466 only patches the explicit sigma monotonicity guard.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13412", + "right": "pull_request:13466", + "accept": false, + "reason": "Related to the same scheduler, but not the same underlying change. #13412 introduces the monotonicity validation and supporting docs/tests; #13466 only refines that check for explicit sigma schedules. They would not plausibly be merged 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": 119, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two unrelated DreamBooth PRs: one fixes a VAE offload device mismatch during encoding across several scripts, the other fixes prompt embedding repetition/order handling in the Qwen Image DreamBooth prior-preservation path. They do not look mergeable into one change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13417 is the better canonical PR because it fixes a concrete runtime device-mismatch bug and covers multiple DreamBooth scripts with the same code-path issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #13417 is the strongest representative: broader impact, clearer bug-fix scope, and a single underlying defect in VAE encode/offload handling.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13417", + "right": "pull_request:13441", + "accept": false, + "reason": "Different underlying bugs and code paths: VAE encode device placement vs. prompt embedding repeat_interleave for prior-preservation ordering. 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": 120, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two closed PRs that both add a `negative_prompt` parameter, but they target different pipelines and different implementation paths, so they are not duplicates of the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13420 is the stronger canonical representative because it has an explicit issue link, a clear pipeline-specific API change, and more direct evidence of the intended fix scope.", + "best_issue_reason": null, + "best_pr_reason": "PR #13420 is the best representative for the cluster because it is self-contained, clearly scoped to `Flux2KleinPipeline`, and has an explicit linked issue; PR #13422 is similar in theme but addresses a different pipeline and code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13420", + "right": "pull_request:13422", + "accept": false, + "reason": "Both add `negative_prompt`, but #13420 changes the Flux2 Klein pipeline call signature while #13422 changes GLM Image prompt encoding/CFG handling. They do not look like the same concrete bug or a single 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": 121, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13455-2", + "nodes": [ + "pull_request:13455", + "pull_request:13509" + ], + "soft_pairs": [ + "pull_request:13455|pull_request:13509" + ], + "prepared_review_unit_hash": "75add2e745c8be349b1207202ecc5720a6e095a39dd23ea9a80359c2532d432c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3185, + "estimated_input_tokens": 797, + "estimated_eval_tokens": 1850 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3185, + "estimated_input_tokens": 797, + "estimated_eval_tokens": 1850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are effectively the same change: they update the Flux 2 Klein DreamBooth script\u2019s `text_encoder_out_layers` default from `[10, 20, 30]` to `[9, 18, 27]` and both target issue #13445. They are duplicates and can be merged into one PR.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13455 is the better canonical PR because it is earlier, explicitly states the fix target, and has the same exact code change as the other PR.", + "best_issue_reason": null, + "best_pr_reason": "PR #13455 is the strongest representative of the cluster: same file, same diff, same issue target, and a clearer fix-oriented title.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13455", + "right": "pull_request:13509", + "accept": true, + "reason": "Identical code change in the same file, same default values, and both explicitly target the same issue (#13445); these are 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": 122, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 #13464 is a targeted bug fix in `transformer_ernie_image.py` for dtype handling in the ERNIE-Image forward/rope path, while PR #13456 is a much larger feature/docs addition that happens to touch the same file but is mainly about introducing ERNIE-Image models/pipelines. Do not merge them as the same change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13464 is the clearer canonical PR: it is merged, small, and directly fixes the concrete dtype regression in the ERNIE-Image transformer code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #13464 is the best representative for the underlying bug fix because it precisely targets the dtype issue in the relevant implementation and is already merged.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13456", + "right": "pull_request:13464", + "accept": false, + "reason": "They are not the same underlying change: #13456 is a broad ERNIE-Image feature/docs PR, while #13464 is a narrow dtype bug fix in the transformer forward/rope path. 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": 123, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs change the same cache/compute logic in `pyramid_attention_broadcast.py`, centered on removing the `iteration == 0` special-case and handling stale cache when outside the timestep range. They look like overlapping fixes for the same underlying behavior, with 13497 being the cleaner, narrower version.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13497 is the better canonical representative: it directly targets the cache invalidation bug by removing the redundant `iteration == 0` guard and clearing `state.cache` outside the timestep window, without the broader/less focused framing of 13467.", + "best_issue_reason": null, + "best_pr_reason": "PR 13497 is the strongest single PR to keep: it fixes the same concrete code path, reads as the more precise implementation, and is easier to merge as a standalone change than 13467.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13467", + "right": "pull_request:13497", + "accept": true, + "reason": "Both PRs patch the same `pyramid_attention_broadcast.py` cache decision path and address the same underlying stale-cache / redundant recompute behavior, so they are close enough to treat as duplicate overlap." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 modify `examples/profiling/profiling_utils.py` to address the profiling wrapper problem on copied sub-components, but they implement different fixes: 13468 uses a broad class-level patch, while 13471 applies an LTX2-only bound-method workaround. Related, but not the same concrete change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13471 is the stronger representative: it is merged, explicitly scoped to the affected LTX2 path, and appears to reflect the resolved fix for the instance-isolation bug in `annotate_pipeline`.", + "best_issue_reason": null, + "best_pr_reason": "PR #13471 is the best single PR to keep because it was merged and directly targets the concrete profiling bug with a narrower, more actionable implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13468", + "right": "pull_request:13471", + "accept": false, + "reason": "Same subsystem and same target file, but different fix strategies and scope. 13468 is a general class-level patch; 13471 is an LTX2-specific bound-method workaround. They are related, not duplicate enough to 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": 125, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items are workflow-only doc-builder SHA bumps to the same upstream revision, but they target different documentation pipelines (.github/workflows/upload_pr_documentation.yml vs .github/workflows/build_documentation.yml), so they are related maintenance changes rather than duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13476 is the better representative because it is merged and completes the PR-upload documentation workflow bump; #13493 is a separate, draft change for the main documentation build workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR #13476 is the strongest standalone representative of the cluster: it is merged, concrete, and fully resolved, whereas #13493 is still draft and addresses a different workflow path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13476", + "right": "pull_request:13493", + "accept": false, + "reason": "Reject: both bump the same doc-builder SHA, but they modify different workflows with different purposes and code paths, so they are not 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": 126, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13529-2", + "nodes": [ + "pull_request:13529", + "pull_request:13531" + ], + "soft_pairs": [ + "pull_request:13529|pull_request:13531" + ], + "prepared_review_unit_hash": "e8ba520ca6b4a4d4c28149133fc149c6d5fbc32a0c8301a81c0e24fd49b35a2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3804, + "estimated_input_tokens": 951, + "estimated_eval_tokens": 2158 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3804, + "estimated_input_tokens": 951, + "estimated_eval_tokens": 2158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated PRs in different example training scripts: one fixes a Wuerstchen model-card dtype/AttributeError issue, the other fixes sana_sprint model-card save by removing an unsupported argument. They share a broad save-path theme but not the same underlying bug or patch.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a true duplicate of the other. If one must be surfaced as the most representative item, 13531 is slightly more specific about the failure mode, but it does not subsume 13529.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13529", + "right": "pull_request:13531", + "accept": false, + "reason": "Reject: different scripts, different concrete fixes, and different failure modes. 13529 hardcodes float16 in Wuerstchen model-card generation; 13531 removes instance_prompt from sana_sprint save_model_card. They are not the same underlying bug 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": 127, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two pull requests are not duplicates: one standardizes `image` argument usage across diffusion pipelines and docs, while the other updates tensor creation to use the `device` argument when available. They touch different code paths and solve unrelated problems.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1361 is the stronger canonical PR for this cluster because it is merged, has broad code/docs coverage, and explicitly targets issue #1257; PR #157 is an unrelated device-argument cleanup.", + "best_issue_reason": null, + "best_pr_reason": "PR #1361 is the best PR to represent the cluster overall due to its clear scope, merge status, and explicit issue linkage. PR #157 is not a fit for the same cluster topic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1361", + "right": "pull_request:157", + "accept": false, + "reason": "Different underlying changes: #1361 renames an image parameter across pipelines/docs, while #157 changes random tensor/device handling in training and model code. They do not fix the same bug or implement 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": 128, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three separate patch-release PRs for different versions and unrelated code/doc changes. They share the same release-maintenance pattern, but not the same underlying fix or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1637 is the strongest representative because it is the only merged PR and includes a concrete code change plus tests, whereas the others are unmerged release bumps with different surrounding edits.", + "best_issue_reason": null, + "best_pr_reason": "PR #1637 is the best global PR candidate: merged, substantive, and more representative than the other two version-bump release PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1383", + "right": "pull_request:1637", + "accept": false, + "reason": "Both are patch-release PRs, but they target different release versions and different surrounding files; they do not appear to fix or deliver the same concrete change." + }, + { + "left": "pull_request:1383", + "right": "pull_request:3274", + "accept": false, + "reason": "Same broad release-bump pattern, but 0.8.1 and 0.16.1 are different releases with different doc/code updates, so they are not the same underlying change." + }, + { + "left": "pull_request:1637", + "right": "pull_request:3274", + "accept": false, + "reason": "Both are patch-release PRs, but one is a modeling_utils/test change for 0.10.1 and the other is IF/docs-related for 0.16.1; these are distinct changes, not mergeable 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": 129, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three related-but-distinct PRs in diffusion pipelines: one removes `**kwargs` and speeds tests, one fixes img2img timestep offset handling, and one removes an unused latent upscale noise argument. They share the same general area but not the same underlying change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1653 is the most concrete bugfix: it changes the img2img timestep calculation across several pipeline variants and has a clear, focused purpose. The other PRs are broader cleanup/speed or unrelated unused-parameter removal.", + "best_issue_reason": null, + "best_pr_reason": "PR #1653 is the best representative of the cluster because it targets a specific code-path defect in image-to-image timestep logic, whereas #1446 is mostly API/test cleanup and #2298 is a separate latent-upscale signature cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1446", + "right": "pull_request:1653", + "accept": false, + "reason": "Both touch pipeline call paths, but #1446 removes `**kwargs` and speeds a test, while #1653 fixes img2img timestep offset logic. Different underlying problems and not safely mergeable as one PR." + }, + { + "left": "pull_request:1653", + "right": "pull_request:2298", + "accept": false, + "reason": "They are different fixes in different pipelines: #1653 adjusts timestep/offset computation, while #2298 removes an unused `noise_level` parameter in latent upscale. 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": 130, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs in the same example file, but they address different ORT training bugs: one removes an incompatible DDPMScheduler argument, the other reorders ORTModule wrapping and adjusts return_dict usage.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1799 is the better representative of the cluster because it fixes the later, broader runtime issue in the example training flow and includes the concrete ORTModule call-path correction.", + "best_issue_reason": null, + "best_pr_reason": "PR #1799 is the strongest standalone representative: it directly fixes the model execution path in the example and is more substantial than the narrower scheduler-argument compatibility change in #1557.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1557", + "right": "pull_request:1799", + "accept": false, + "reason": "Same example file, but not the same underlying bug. #1557 removes a deprecated/incompatible DDPMScheduler parameter; #1799 changes when ORTModule is wrapped and how model outputs are returned. They affect different code paths and would not naturally 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": 131, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are near-identical fixes for the same DreamBooth fp32-wrapper checkpointing crash (#1566). They touch the same file, implement the same inspect/signature-based guard for keep_fp32_wrapper, and have the same title; one is the merged version and the other is a duplicate/unmerged attempt.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1618 is the better canonical PR because it is merged and contains the same concrete fix as #1567, making it the authoritative completed change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1618 is the strongest PR overall since it is merged, targets the exact crash in train_dreambooth.py, and is effectively the finalized version of the duplicate patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1567", + "right": "pull_request:1618", + "accept": true, + "reason": "Same title, same target file, same underlying fp32-wrapper crash fix, and nearly identical patch; these are duplicate PRs for the same change and could plausibly 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": 132, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 both in training scripts, but they fix different things: one removes duplicated training-step bookkeeping in `train_text_to_image.py`, while the other updates `report_to` help text across several scripts. They are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1888 is the better representative artifact: it is merged, spans multiple training scripts, and contains the more complete user-facing fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 1888 is the strongest overall choice because it is merged and addresses a concrete, user-visible documentation/help-text issue across the training scripts.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1691", + "right": "pull_request:1888", + "accept": false, + "reason": "Different underlying changes: 1691 adjusts max-train-steps/epoch logic in `examples/text_to_image/train_text_to_image.py`, while 1888 fixes `report_to` CLI help text in several scripts. Shared file overlap is incidental, 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": 133, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three PRs touch the same example file, but they are different follow-up edits rather than the same fix/change. #1694 is the broadest merged update, while #1775 and #2033 are narrower subsequent modifications.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue is present; as a cluster anchor, #1694 is the best representative because it is the earliest merged substantive update to the file and covers the widest change set.", + "best_issue_reason": null, + "best_pr_reason": "#1694 is the most suitable representative PR for this cluster: it is merged and materially larger than the others, which are smaller incremental edits to the same script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1694", + "right": "pull_request:1775", + "accept": false, + "reason": "Same file, but different changes: #1694 adds substantial helper/update logic, while #1775 mainly adds logging/CLI options. They do not look like the same underlying bug or mergeable fix." + }, + { + "left": "pull_request:1694", + "right": "pull_request:2033", + "accept": false, + "reason": "#2033 is a small cleanup/adjustment to the script, not the same concrete change as #1694's larger manual update. Shared filename alone is not enough." + }, + { + "left": "pull_request:1775", + "right": "pull_request:2033", + "accept": false, + "reason": "Both are follow-up edits to the same example script, but they address different concerns (logging args vs. minor cleanup/scheduler tweak), so 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": 134, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three separate documentation-focused PRs: one adds the docs README/build scaffolding, one updates Stable Diffusion pipeline docs, and one adds Flax pipeline API docs. They overlap in the docs subsystem but do not look like the same underlying change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1770 is the broadest and most central documentation update in this set, covering Stable Diffusion pipeline docs and related code/doc examples, so it is the best representative if one PR must be chosen.", + "best_issue_reason": null, + "best_pr_reason": "PR #1770 is the strongest global representative because it has the widest doc surface area and sits closest to the main Stable Diffusion API documentation work, while #1710 is infrastructure/docs setup and #2600 is a narrower Flax-specific doc addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1710", + "right": "pull_request:2600", + "accept": false, + "reason": "#1710 adds the docs README and documentation build/navigation files; #2600 adds Flax Stable Diffusion API docs and docstring examples. They target different documentation problems and are not one mergeable fix." + }, + { + "left": "pull_request:1770", + "right": "pull_request:2600", + "accept": false, + "reason": "#1770 updates Stable Diffusion pipeline docs and related examples, while #2600 adds Flax pipeline API docs. They overlap in topic but fix different doc surfaces and should not 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": 135, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two pull requests are near-identical DreamBooth changes adding interim image generation logging to the same code path in `train_dreambooth.py`; they look like duplicate attempts at the same patch, with 1714 the more complete/non-draft version.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1714 is the better canonical PR because it is non-draft and the diff matches #1711 almost exactly, indicating it is the cleaner final version of the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1714 is the best overall representative of the cluster since it is the non-draft submission and implements the same DreamBooth interim generation logging change as #1711.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1711", + "right": "pull_request:1714", + "accept": true, + "reason": "Accepted: both PRs modify the same file with the same added argument, seeded generator setup, and interim generation logging logic; they are effectively duplicate implementations of the same concrete 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": 136, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs add OneFlow nn.graph support and share a large amount of infrastructure, but they target different concrete pipeline changes: 1803 is for AltDiffusion, while 1935 is for Stable Diffusion inpainting. They are similar in theme, not the same underlying change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1935 is the better representative of the cluster because it is a later, more specific OneFlow graph support change centered on Stable Diffusion inpainting.", + "best_issue_reason": null, + "best_pr_reason": "PR 1935 is the strongest representative here: it targets a concrete pipeline feature rather than the more separate AltDiffusion path, and it appears to be a more focused implementation of the same broad OneFlow effort.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1803", + "right": "pull_request:1935", + "accept": false, + "reason": "Reject: they share OneFlow helper/infrastructure files, but the actual feature work is for different pipelines and code paths (AltDiffusion vs Stable Diffusion inpainting)." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two unrelated documentation PRs: #1870 is a broad API/docs cleanup for diffusion pipeline pages, while #2434 adds pix2pix-zero and controlling-generation details. They do not look like the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: #1870 revises pipeline API reference docs, while #2434 expands pix2pix-zero usage guidance and adds a demo link; different doc targets and intent.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for duplicate triage here; the PRs are not duplicates and cover separate documentation updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1870", + "right": "pull_request:2434", + "accept": false, + "reason": "Different documentation changes in different files and topics; 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": 138, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests are about DreamBooth support for multiple subjects/prompts, but they are different implementations in different locations: one patches the existing DreamBooth example, the other adds a separate research-project script and README. They are related but not the same concrete change, so the soft edge should not be merged.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:1948 is the stronger canonical PR because it is merged, self-contained, and adds a dedicated multi-subject DreamBooth implementation with its own script and documentation.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:1948 is the best representative of the cluster because it fully implements the multi-subject DreamBooth feature, whereas pull_request:1893 is a narrower, unmerged doc/code tweak to the existing example.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1893", + "right": "pull_request:1948", + "accept": false, + "reason": "Related DreamBooth multi-concept work, but not the same underlying change: 1893 modifies the existing example/README, while 1948 adds a separate research-project script and docs. They could not plausibly be merged as one PR without substantial restructuring." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 139, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related reproducibility PRs in the same series, but they are not duplicates: one is a code-path RNG consistency change, the other is a broader docs/tests/reproducibility follow-up.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1924 is the more complete reproducibility change: it adds the docs page, testing utilities, and broader test coverage, whereas PR 1906 is a narrower implementation step replacing torch.randn with randn_tensor in several code paths.", + "best_issue_reason": null, + "best_pr_reason": "PR 1924 is the best representative of the cluster because it packages the reproducibility work in a user-facing, fully documented and tested change. PR 1906 is an earlier, narrower prerequisite-style code update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1906", + "right": "pull_request:1924", + "accept": false, + "reason": "Same theme and some overlapping files, but different underlying changes: 1906 focuses on making sampling use randn_tensor for reproducibility, while 1924 adds reproducibility documentation, helpers, and tests. They are complementary follow-ups, 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": 140, + "component_count": 265, + "review_unit_index": 1, + "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": "82935e60182d57dabd2f2815ebf7f72eade0be9ac1efd565f421e03d0be4bafa", + "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 pull requests target the same legacy Stable Diffusion inpaint bug/fix set: resizing the mask tensor to latent size and preventing extra noise from being added to the final latents. PR 2147 appears to be the finalized, merged version with tests; 2067 and 2096 are earlier overlapping attempts.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2147 is the canonical PR: it is merged, covers the same concrete legacy inpaint code path, and looks like the most complete/finalized fix with accompanying tests.", + "best_issue_reason": null, + "best_pr_reason": "PR 2147 is the best representative overall because it is merged and most fully addresses the underlying bug, while the other two are earlier overlapping iterations.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2067", + "right": "pull_request:2096", + "accept": true, + "reason": "Same legacy inpaint bug/fix set in the same file: both address scaling the mask tensor to latent size and avoiding noise on final latents, so they look like overlapping iterations of one fix." + }, + { + "left": "pull_request:2067", + "right": "pull_request:2147", + "accept": true, + "reason": "Same concrete bug in the same code path; PR 2147 is a later, more complete version of the same legacy inpaint mask-resize/noise fix." + }, + { + "left": "pull_request:2096", + "right": "pull_request:2147", + "accept": true, + "reason": "Both target the same underlying legacy inpaint correction, and PR 2147 clearly refines the same fix into the merged final form." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: all three PRs target the same legacy inpaint code path and the same mask-resize / final-latents noise fix, and PR 2147 is the only merged one with a test file. The pairwise overlap verdicts are conservative enough based on the shared file and closely related diffs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 141, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 resume/checkpoint handling in training scripts, but they fix different concrete bugs and are not duplicates of the same change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2079 is the broader, more representative fix: it updates resume/epoch behavior across multiple training scripts and includes the checkpoint-missing handling path.", + "best_issue_reason": null, + "best_pr_reason": "PR #2079 best captures the cluster\u2019s main theme because it spans the general resume-state bug across training scripts, while #2072 is a narrower textual_inversion-specific variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2072", + "right": "pull_request:2079", + "accept": false, + "reason": "Related area, but not the same underlying change: #2072 fixes textual_inversion resume state with gradient checkpointing, while #2079 fixes resume epoch logic and missing-checkpoint handling across several scripts. They would not plausibly merge into one PR without broadening scope." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 both touch `examples/community/checkpoint_merger.py` and both improve reporting, but they are not the same concrete change: one focuses on logger usage for reporting, while the other also changes safetensors import handling and status/error messaging. They are related but should not be merged as duplicates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2127 is the more central checkpoint-merger reporting change and includes the concrete import/reporting adjustments in the example itself.", + "best_issue_reason": null, + "best_pr_reason": "PR #2127 is the best representative because it directly addresses the example\u2019s status/error reporting path; PR #2125 is a narrower logger refactor that also touches another utility file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2125", + "right": "pull_request:2127", + "accept": false, + "reason": "Related reporting updates in the same example, but they change different aspects of the code path: #2125 is a logger/reporting refactor, while #2127 also alters safetensors import behavior and error/status handling. 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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three PRs touch `resnet.py` and are cleanup-oriented, but they address different code removals/refactors: one deletes `set_weight`, one changes `Normalize` and related comments, and one removes `Normalize`/`nonlinearity`/`TimestepBlock` helpers entirely. They are related in theme, not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 67 is the best representative cleanup PR: it removes multiple obsolete helper definitions from `resnet.py` and is the broadest, clearest dead-code cleanup in the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 67 is the strongest single PR to anchor the cluster because it targets the core helper-class dead-code cleanup in `resnet.py`; the other PRs are narrower or different refactors and are not merge-equivalent.", + "soft_edge_verdicts": [ + { + "left": "pull_request:218", + "right": "pull_request:44", + "accept": false, + "reason": "Both touch `resnet.py`, but 218 removes a stale `set_weight` helper while 44 changes `Normalize`\u2019s signature and related formatting. Different code paths and not plausibly one merged fix." + }, + { + "left": "pull_request:218", + "right": "pull_request:67", + "accept": false, + "reason": "218 deletes only `set_weight`; 67 deletes `Normalize`, `nonlinearity`, and `TimestepBlock`. Same file and cleanup 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": 144, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "There are two duplicate groups here: the img2img prompt/prompt_embeds input-check fix (2206, 2260) and the separate legacy inpaint / k-diffusion prompt_embeds-only support changes (2842, 2962). These are related thematically but not the same concrete code change across pipelines.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "2206 is the best canonical representative for the img2img fix: it is merged, touches the exact code path, and its title/body describe the prompt input-check behavior being corrected. The other PR in that pair appears to be the same change in the same file.", + "best_issue_reason": null, + "best_pr_reason": "2206 is the strongest single representative overall because it is merged, clearly scoped, and directly addresses the prompt validation / batch-size inference bug in the img2img pipeline.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2206", + "right": "pull_request:2842", + "accept": false, + "reason": "Different pipelines and code paths: img2img versus legacy inpaint. Both involve prompt_embeds support, but they are separate fixes and should not be merged as one duplicate PR." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2962", + "accept": false, + "reason": "Different pipelines and code paths: img2img versus k-diffusion. Same broad theme, but not the same concrete bug or patch." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2260", + "accept": true, + "reason": "Same file, same prompt input-check / prompt_embeds inference fix, and the diff preview shows the same underlying edit. These look like duplicate implementations of the same change." + }, + { + "left": "pull_request:2842", + "right": "pull_request:2962", + "accept": true, + "reason": "Both change different pipelines in the same way to allow prompt_embeds without requiring a prompt, which is the same concrete functional fix pattern and could plausibly be consolidated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and the soft-edge decisions are appropriately conservative. The 2206/2260 pair is well-supported as the same img2img fix in the same file, and the 2842/2962 pair is plausibly mergeable as the same prompt_embeds-only support change across two closely related pipelines. The cross-pipeline non-duplicates are correctly rejected." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 145, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 target the same feature change: exposing center crop and random flip flags for unconditional image generation. PR #2259 is the merged implementation and the stronger canonical PR; PR #2217 appears to be the same change or an earlier duplicate attempt.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2259 is the merged PR with concrete file changes and the same title as #2217, so it best represents the actual completed change.", + "best_issue_reason": null, + "best_pr_reason": "PR #2259 is the best representative because it is merged, has the implemented diff, and directly matches the requested behavior change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2217", + "right": "pull_request:2259", + "accept": true, + "reason": "Same title and same underlying feature request; #2259 shows the implemented code/docs change, so these are effectively duplicate PRs for 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": 146, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are about loading Stable Diffusion from checkpoints, but they are not the same concrete change: #2281 is an earlier Stable Diffusion-specific refactor, while #2318 generalizes the idea into a FromCkptMixin and extends it across multiple pipelines/docs. Treat them as related but not duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "#2318 is the better canonical PR because it is merged, broader in scope, and appears to be the finalized implementation of the checkpoint-loading mixin across pipelines.", + "best_issue_reason": null, + "best_pr_reason": "#2318 is the strongest representative of the feature set: it is merged, has the wider code and docs coverage, and reflects the more complete API shape.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2281", + "right": "pull_request:2318", + "accept": false, + "reason": "Related feature work, but not the same underlying change. #2281 is a Stable Diffusion-specific from_checkpoint refactor; #2318 introduces a FromCkptMixin and expands support to multiple pipelines, so they would not plausibly be one single PR without substantial redesign." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are related to fast testing but are not duplicates: PR #302 adds fast pipeline tests in the test suite, while PR #2313 changes CI workflow to run fast CPU tests on main. They touch different layers and solve different problems.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #302 is the more substantive, self-contained change because it implements the fast pipeline tests themselves; PR #2313 is only workflow wiring around those tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #302 is the better representative of the cluster\u2019s core testing change. PR #2313 depends on that work and is not the same code-path change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2313", + "right": "pull_request:302", + "accept": false, + "reason": "Different changes: #2313 updates the GitHub Actions workflow to schedule CPU tests on main, while #302 adds fast pipeline tests in tests/test_pipelines.py. Shared testing theme 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": 148, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 pull requests target the same bug in `get_indices` inside the Attend-and-Excite pipeline; PR 2418 is the merged, more complete version with the same fix plus an example update.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2418 is merged and contains the actual `get_indices` fix, plus the accompanying documentation/example update.", + "best_issue_reason": null, + "best_pr_reason": "PR 2418 is the best representative because it directly fixes the bug, is merged, and subsumes the narrower PR 2417 change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2417", + "right": "pull_request:2418", + "accept": true, + "reason": "Same underlying `get_indices` bug in the same file; PR 2418 includes the same code-path fix and could plausibly absorb PR 2417 into one change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs change the same `get_indices` line in the Attend-and-Excite pipeline, and PR 2418 adds only a small documentation/example update on top of that fix. The soft-edge acceptance is conservative and the two changes look mergeable into one 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": 149, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two pull requests are near-duplicate implementations of the same DreamBooth `--save_every` feature in the same file, with essentially the same diff and intent.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2451 is a slightly better canonical representative because it is the later, more engaged duplicate with more discussion/review activity while implementing the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #2451 is the best overall representative of this cluster: it targets the same concrete code path, has the same feature diff, and appears to be the more developed version of the duplicate pair.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2450", + "right": "pull_request:2451", + "accept": true, + "reason": "Both PRs add the same `--save_every` option and same save-hook logic in `examples/dreambooth/train_dreambooth.py`; they are effectively duplicate implementations of 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": 150, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related documentation PRs, but they do not fix the same underlying thing: one migrates and renames LoRA training docs, the other restructures the text-to-image training page. The overlap in _toctree.yml is incidental.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the two pull requests touch different docs pages and implement different content changes, so they are not duplicates.", + "best_issue_reason": null, + "best_pr_reason": "PR 2527 is the cleaner standalone docs migration/update for the LoRA training page, but it is only a representative PR for the cluster, not a duplicate of 2537.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2527", + "right": "pull_request:2537", + "accept": false, + "reason": "Different pages and purposes: 2527 moves/rewrites LoRA training docs, while 2537 renames and updates the text-to-image training doc. Shared navigation edits do not make them 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": 151, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs for different training topics (DreamBooth, Textual Inversion, and Unconditional Image Generation). They share a similar docs-migration style, but they do not appear to be the same underlying change or bug fix.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster: each PR updates a different training doc page and toctree entry, so they are distinct changes rather than duplicates.", + "best_issue_reason": null, + "best_pr_reason": "None of the PRs is a strong global representative for a duplicate cluster because the items are unrelated topic-specific docs updates; if forced, 2547 is only the earliest merged docs move, not a true canonical duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2547", + "right": "pull_request:2576", + "accept": false, + "reason": "Different doc pages and different training methods; similar docs-migration pattern only, not the same change." + }, + { + "left": "pull_request:2576", + "right": "pull_request:2592", + "accept": false, + "reason": "Both are documentation updates, but they target different training topics and files, so they are not the same 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": 152, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Cluster is centered on AutoPipeline/controlnet work. One pair is clearly the same feature branch (initial AutoPipeline PR and the later completed AutoPipeline PR); the other controlnet-related PRs are related but address different changes or bugfixes.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4138 is the best canonical PR: it is merged, broader, and represents the completed AutoPipeline feature set with docs, exports, mappings, and pipeline support.", + "best_issue_reason": null, + "best_pr_reason": "PR 4138 is the strongest representative for the cluster because it is the largest merged change and subsumes the core AutoPipeline work that the later related PRs build on.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2621", + "right": "pull_request:4861", + "accept": false, + "reason": "Different underlying changes: 2621 adds multi-ControlNet support in the ControlNet pipeline, while 4861 changes AutoPipeline.from_pipe behavior for controlnet counterparts." + }, + { + "left": "pull_request:4084", + "right": "pull_request:4861", + "accept": false, + "reason": "Different features: 4084 adds single-file loading for ControlNet/VAE, not AutoPipeline conversion logic." + }, + { + "left": "pull_request:4131", + "right": "pull_request:4138", + "accept": true, + "reason": "Same underlying AutoPipeline feature set; 4138 appears to complete and expand the draft AutoPipeline work started in 4131, with shared exports and pipeline wiring." + }, + { + "left": "pull_request:4131", + "right": "pull_request:5638", + "accept": false, + "reason": "Related area but different change: 4131 introduces AutoPipeline, while 5638 is a narrow bugfix in from_pipe controlnet class-name handling." + }, + { + "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 a later class-name replacement bug; 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": 153, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related to the same community CLIP-guided pipelines, but they address different changes: PR 2723 adds CLIP guidance for the img2img pipeline, while PR 2779 adds DPMSolverMultistepScheduler support to the CLIP-guided pipelines. They should not be merged as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2779 is the cleaner representative if you need one cluster PR: it makes a concrete compatibility change across the CLIP-guided pipeline implementations, with focused code updates rather than a new feature introduction.", + "best_issue_reason": null, + "best_pr_reason": "PR 2779 is the stronger standalone change for the cluster topic because it targets a specific scheduler-compatibility code path in the existing CLIP-guided pipelines and is more self-contained.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2723", + "right": "pull_request:2779", + "accept": false, + "reason": "Not the same underlying change: 2723 adds CLIP guidance for stable diffusion img2img, while 2779 adds DPMSolverMultistepScheduler support to the CLIP-guided pipelines. Shared filenames alone do not make them 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": 154, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items are MPS-related pull requests, but they address different changes: PR #926 is a broader PyTorch 1.13 MPS enablement/update, while PR #2771 removes the warmup pass workaround later on. They share subsystem/context, not the same concrete fix.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2771 is the more focused artifact: it targets a single MPS behavior change (\u201cremove warmup passes\u201d) and is narrower/specific compared with PR #926\u2019s broader MPS documentation and code updates for PyTorch 1.13.", + "best_issue_reason": null, + "best_pr_reason": "PR #2771 is the best representative of the cluster because its title and diff align cleanly with one concrete MPS issue, making it the most self-contained candidate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2771", + "right": "pull_request:926", + "accept": false, + "reason": "Related MPS work, but not the same change. #926 updates MPS support and docs for PyTorch 1.13 with code changes; #2771 removes the warmup-pass workaround and updates docs/tests. They would not plausibly be merged as one PR without conflating 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": 155, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests are LoRA-related, but they address different changes: PR #2918 adds limited LoRA support for the text encoder, while PR #3594 adds a LoRA attention processor for PyTorch 2.0 and related training/doc updates. They are adjacent feature work, not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2918 is the broader, earlier LoRA integration change and is the better representative for this cluster; PR #3594 is a separate follow-up feature for a different code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #2918 is the best overall representative because it is the more general foundational LoRA PR, whereas PR #3594 is narrower and targets LoRA attention processor 2.0 support.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2918", + "right": "pull_request:3594", + "accept": false, + "reason": "Reject: these PRs touch the same LoRA area but fix different concrete problems. #2918 adds limited text-encoder LoRA loading support; #3594 adds LoRAAttnProcessor2_0 and related training/docs changes. They would not plausibly merge 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": 156, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Three PRs around Diffusers feature additions, but they target different models/features: UniDiffuser, Consistency Models core pipeline, and a Consistency Models distillation example. The overlap is mostly broad subsystem/file-level, not the same underlying change, so no soft duplicate edges are accepted.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR stands out; PR #3492 is the strongest representative of the cluster because it is the main merged Consistency Models implementation and centralizes the shared scheduler work.", + "best_issue_reason": null, + "best_pr_reason": "PR #3492 is the best cluster representative: it is merged, substantial, and the core implementation PR for Consistency Models, whereas #2963 is a different model family and #3992 is a separate example/training script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2963", + "right": "pull_request:3492", + "accept": false, + "reason": "They add different features for different models (UniDiffuser vs. Consistency Models). Shared docs/init file edits are broad integration changes, not the same underlying code change." + }, + { + "left": "pull_request:3492", + "right": "pull_request:3992", + "accept": false, + "reason": "#3492 adds the core Consistency Models pipeline/scheduler, while #3992 adds a distillation example training script. They touch one common scheduler file, but they are not the same concrete fix/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": 157, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 at a high level (time embedding behavior), but they change different code paths and are not duplicates: PR 3024 modifies ResNet time-activation handling and output scaling, while PR 3048 adds a UNet time embedding activation option.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR for deduping: the changes target different modules and different mechanisms, so they should not be collapsed into one artifact.", + "best_issue_reason": null, + "best_pr_reason": "PR 3048 is the more focused representative of the shared theme because it directly introduces a time embedding activation option; PR 3024 also bundles unrelated ResNet skip-activation and output-scale changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3024", + "right": "pull_request:3048", + "accept": false, + "reason": "Different concrete changes in different code paths: ResNet skip-time-activation/output-scale vs UNet time_embedding_act_fn. Related theme, but not the same fix/change and 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": 158, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are both in ControlNet example/docs code, but they address different changes: one updates a Flax pipeline doc example to use a flax revision instead of from_pt, and the other removes safety_checker=None from an SDXL training example. They are not the same underlying fix.", + "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:3083", + "right": "pull_request:4180", + "accept": false, + "reason": "Different edits and purposes: PR 3083 is a Flax doc example tweak, while PR 4180 changes a training example's validation pipeline. They do not fix the same code-path problem 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": 159, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 for `examples/text_to_image/train_text_to_image_lora.py`; PR 3459 is the merged follow-up and appears to supersede PR 3084.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3459 is the best canonical PR because it is merged and makes the same code change as PR 3084: adding `--snr_gamma` and SNR computation to the LoRA text-to-image training script.", + "best_issue_reason": null, + "best_pr_reason": "PR 3459 is the strongest representative of the cluster because it is the merged implementation of the Min-SNR feature, while PR 3084 is an earlier unmerged version of the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3084", + "right": "pull_request:3459", + "accept": true, + "reason": "Same underlying feature/change in the same file with nearly identical diff: both add `snr_gamma` and Min-SNR loss weighting to the LoRA training script. 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": 160, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related Kandinsky PRs, but they are not duplicates: one is the initial Kandinsky 2.1 integration, one adds DDPM scheduler support for the text-to-image path, and one refactors the img2img path for DDPM variance handling.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3308 is the broad foundational Kandinsky 2.1 implementation and the clearest umbrella change; the other two are later follow-ups on specific pipeline behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR #3308 is the best representative of the cluster because it introduces the core feature set, while #3783 and #3845 are narrower incremental changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3308", + "right": "pull_request:3783", + "accept": false, + "reason": "#3308 adds the full Kandinsky 2.1 feature set; #3783 is a later, narrow DDPM scheduler/docs update for the text-to-image pipeline. Related, but not the same concrete change." + }, + { + "left": "pull_request:3308", + "right": "pull_request:3845", + "accept": false, + "reason": "#3308 is the initial Kandinsky integration; #3845 only refactors img2img DDPM variance handling. Different code path and different fix scope." + }, + { + "left": "pull_request:3783", + "right": "pull_request:3845", + "accept": false, + "reason": "Both mention DDPM Kandinsky, but one changes text-to-image scheduler behavior/docs and the other changes img2img variance handling. 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": 161, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three are separate Kandinsky feature PRs: decoder/model support, image encoder + multilingual CLIP, and img2img pipeline. They share the same subsystem and one shared file, but they do not fix the same concrete bug/change and would not plausibly be merged as one PR.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear duplicate-canonical choice; each PR targets a distinct Kandinsky capability with different codepaths and deliverables.", + "best_issue_reason": null, + "best_pr_reason": "PR 3426 is the most self-contained user-facing feature addition (img2img pipeline plus exports/tests), so it is the best representative artifact among these, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3330", + "right": "pull_request:3373", + "accept": false, + "reason": "Different changes: 3330 adds the Kandinsky decoder/VQ model path, while 3373 adds the image encoder and MultilingualCLIP model. They touch the same pipeline file but address separate components and are not the same concrete fix." + }, + { + "left": "pull_request:3373", + "right": "pull_request:3426", + "accept": false, + "reason": "3373 introduces the image encoder/Multi-clip model, whereas 3426 adds the Kandinsky img2img pipeline and exports/tests. Shared subsystem only; different feature scopes and 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": 162, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two CI workflow PRs make the same change: stop installing transformers/accelerate from GitHub source in test workflows. They are close enough to cluster as one change set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3415 is the better representative because it covers the same source-install cleanup and also updates the conda-based workflow to use released pip packages, making it slightly more complete.", + "best_issue_reason": null, + "best_pr_reason": "PR #3415 is the strongest standalone representative of this change because it addresses the same underlying CI dependency-install problem across its workflow path and includes the more complete package-install replacement.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3414", + "right": "pull_request:3415", + "accept": true, + "reason": "Both PRs target the same underlying CI issue: removing GitHub source installs of transformers/accelerate from workflow dependency setup. They are functionally compatible parts of one broader workflow cleanup and could plausibly be merged into a single 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": 163, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 community example PRs around the Stable Diffusion reference pipeline, but they are not the same change: PR 3435 adds the reference-only control example, while PR 3508 adds a separate ControlNet reference example and updates the README accordingly.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for duplication: 3435 and 3508 touch overlapping files but introduce different example variants and different functionality.", + "best_issue_reason": null, + "best_pr_reason": "PR 3508 is the broader follow-up and more representative of the later state of the community examples, but it is still distinct from 3435.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3435", + "right": "pull_request:3508", + "accept": false, + "reason": "Related but distinct PRs: 3435 introduces the reference-only control example, whereas 3508 adds a ControlNet reference example and README updates. They do not fix the same concrete code-path problem 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": 164, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs work on Kohya-ss-style LoRA loading, but they are not the same concrete change: #3437 adds limited support and docs/tests, while #3756 is a broader draft refactor for unrestricted loading. This looks like related follow-up work rather than duplicate PRs.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3437 is the best canonical representative because it is the merged, completed implementation of the feature and establishes the initial code path for Kohya-ss LoRA support. PR #3756 is a later, broader draft and not the same exact change.", + "best_issue_reason": null, + "best_pr_reason": "PR #3437 is the best overall PR to anchor the cluster: it is merged, more complete, and its scope is the clearest match to the shared feature area. PR #3756 is unfinished and appears to extend rather than duplicate it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3437", + "right": "pull_request:3756", + "accept": false, + "reason": "Related feature area, but not the same underlying change. #3437 implements limited Kohya-ss LoRA support with docs/tests; #3756 is a broader draft loader refactor aimed at unrestricted support. They would not cleanly collapse 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": 165, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related only at a very high level: both fix broadcasted kernel assignment, but they touch different code paths and modules (1D up/downsample blocks vs ResNet 2D conv/transposed-conv). They are not duplicates and should not be merged together.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3535 is the better canonical PR for this cluster because its title and diff clearly describe the general fix pattern\u2014making explicit broadcasts for assignment\u2014and it applies to the more broadly used ResNet code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #3535 is the best PR representative overall: the change is well-scoped, clearly stated, and fixes the concrete broadcast assignment issue in a widely used model block.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3479", + "right": "pull_request:3535", + "accept": false, + "reason": "Both PRs use the same broadcast-assignment pattern, but they modify different implementations and different tensor ranks/shapes in separate files. They do not appear to fix the same underlying bug or be plausibly 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": 166, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "PR 361 is the substantive merged implementation for adding accelerate-based low-memory loading; PR 727 is only a later closed PR with the same general theme but no diff shown and a different loading path.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 361 is the only merged, code-changing PR here and it directly updates model loading in `modeling_utils.py` plus tests. PR 727 is closed without changes in the provided data, so it is not a better canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 361 is the strongest representative of this change because it contains the actual implementation and was merged; PR 727 is too underspecified to serve as the main reference.", + "soft_edge_verdicts": [ + { + "left": "pull_request:361", + "right": "pull_request:727", + "accept": false, + "reason": "Both mention low-memory loading with accelerate, but 361 fixes `from_pretrained` model loading while 727 targets pipeline loading. That is not clearly the same concrete code-path change, and 727 has no diff evidence here." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related LDM3D pull requests, but they are not duplicates: PR 3668 introduces the new LDM3D pipeline/docs, while PR 3875 is a later compatibility fix for new checkpoints in image processing. The shared files reflect the same subsystem, not the same change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3668 is the foundational feature PR for adding LDM3D support, including the pipeline, docs, exports, and tests. PR 3875 is a narrower follow-up fix rather than the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3668 is the best representative PR for the cluster because it captures the primary LDM3D feature introduction; PR 3875 is a secondary maintenance update for checkpoint compatibility.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3668", + "right": "pull_request:3875", + "accept": false, + "reason": "They touch the same LDM3D area, but 3668 adds the pipeline and docs while 3875 adjusts depth/image handling for newer checkpoints. These are related but distinct changes 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": 168, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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-image-processing refactors in diffusers, but they address different concrete changes: one adds deprecation warnings to x4 upscaler preprocess helpers, the other refactors prepare_mask_and_masked_image across many pipelines to use VaeImageProcessor. They should not be deduplicated.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4444 is the better canonical representative because it is the broader, more general VaeImageProcessor refactor spanning many pipelines and tests, whereas #3692 is a narrower upscaler-specific deprecation cleanup.", + "best_issue_reason": null, + "best_pr_reason": "PR #4444 is the best standalone PR for the cluster since it covers the main image-processor migration work across the codebase; #3692 is a smaller, separate upscaler warning refactor and is not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3692", + "right": "pull_request:4444", + "accept": false, + "reason": "Both touch image-processing code, but the underlying changes differ: #3692 only deprecates preprocess in the x4 upscaler pipelines, while #4444 refactors prepare_mask_and_masked_image and image input handling across many pipelines. They are not the same concrete fix 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": 169, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 by broad Stable Diffusion pipeline work, not by the same bug or change. PR 3751 adds LoRA loading to the KDiffusion pipeline, PR 4939 adds LoRA loading to the SDXL Adapter pipeline, and PR 4941 adds negative micro-conditioning arguments to that same SDXL Adapter pipeline.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR exists here. If one PR must anchor the cluster, PR 4939 is the closest representative because it is a concrete SDXL Adapter pipeline feature change and shares the same file/context with PR 4941, but it is still a different change from both other PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 4939 is the best global representative of the cluster because it is a substantial, clearly-scoped pipeline enhancement and sits in the shared SDXL Adapter codepath; however, it should not be treated as a duplicate of PR 4941 or PR 3751.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3751", + "right": "pull_request:4939", + "accept": false, + "reason": "Different pipelines and different features: KDiffusion LoRA loading vs SDXL Adapter LoRA loading. Same general LoRA theme, but not the same code-path problem or mergeable as one PR." + }, + { + "left": "pull_request:4939", + "right": "pull_request:4941", + "accept": false, + "reason": "Same file, but the changes fix different things: LoRA loading/unloading for the adapter pipeline versus adding negative micro-conditioning parameters. These are separate enhancements, 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": 170, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two docs-oriented PRs in the same pipelines area, but they address different cleanup scopes: one is a narrower API docs wording update, the other is a broader pipeline docs/title normalization pass. I would not treat them as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3905 is the stronger canonical representative: it is merged, has much broader review/activity, and covers the larger, finished documentation cleanup across pipeline pages.", + "best_issue_reason": null, + "best_pr_reason": "PR #3905 is the best overall representative because it is completed and clearly the broader, more central docs cleanup change; PR #3904 is draft and narrower.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3904", + "right": "pull_request:3905", + "accept": false, + "reason": "Both are docs cleanup PRs with overlapping pipeline files, but they do not appear to fix the same concrete issue; #3904 is a narrower wording/API docs tweak while #3905 is a broader title and docs normalization pass." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 171, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related text-to-video PRs, but they fix different problems: one improves memory use via attention chunking, the other adds `torch.compile()` compatibility by changing return handling. Not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3930 is the stronger canonical representative because it is the more substantive text-to-video memory optimization and its diff is centered on the core attention/unet path; PR 3949 is a separate compile-compatibility change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3930 best represents the cluster\u2019s text-to-video runtime improvement theme, but the cluster is not a true duplicate set, so this is only a representative choice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3930", + "right": "pull_request:3949", + "accept": false, + "reason": "Different underlying changes: 3930 adds feed-forward chunking/memory optimizations, while 3949 makes 3D blocks/pipelines `torch.compile()`-compatible by returning tuples instead of `.sample`. Shared files alone are not enough to treat them 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": 172, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 singleton MultiControlNet handling in ControlNet pipelines, but they fix different concrete failures: PR 4032 fixes keep/list shape selection, while PR 4454 fixes conditioning-scale typing during multiplication. They are related follow-ups, not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: both are merged fixes for singleton MultiControlNet behavior, but they patch different code paths and do not subsume each other.", + "best_issue_reason": null, + "best_pr_reason": "PR 4454 is the narrower, more explicit singleton-MultiControlNet TypeError fix, but it does not cover PR 4032's separate keep-shape bug.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4032", + "right": "pull_request:4454", + "accept": false, + "reason": "Different failure sites and fixes: 4032 changes how controlnet_keep is shaped for a singleton ControlNetModel, while 4454 coerces controlnet_conditioning_scale before scalar multiplication. Same subsystem, but 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": 173, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are about adding Stable Diffusion XL InstructPix2Pix support. PR #4079 is the more complete and merged version, containing the same core code changes as #4076 plus docs, initialization, dummy objects, and tests.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4079 is the canonical PR because it is the merged, more complete implementation of the SDXL InstructPix2Pix feature and includes the core files from #4076 plus the supporting integration work.", + "best_issue_reason": null, + "best_pr_reason": "PR #4079 is the best PR overall because it is merged and appears to subsume #4076's change set while adding the necessary surrounding updates and tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4076", + "right": "pull_request:4079", + "accept": true, + "reason": "Same underlying SDXL InstructPix2Pix feature/change; #4079 contains the same core files as #4076 and extends them with the remaining supporting changes, so these 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": 174, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two separate PRs in the same loader area, but they fix different bugs: one passes `network_alpha` for old-format UNet LoRA loading, the other makes IP-Adapter/LoRA loading work when the UNet attribute is not named `unet`.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6046 is the better representative of the cluster because it addresses the broader custom-UNet-name compatibility issue across loader code paths and has the stronger multi-file fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #6046 is the best overall artifact here since it is the broader, more general loader compatibility fix and more likely to be the canonical representative of the related-but-distinct loader work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4221", + "right": "pull_request:6046", + "accept": false, + "reason": "Different underlying bugs and code paths: #4221 fixes missing `network_alpha` when loading old-format LoRA weights into UNet, while #6046 fixes loader access when the UNet attribute is not literally named `unet` (plus related scale handling). They are not plausibly 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": 175, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are two separate cleanup PRs in different code paths: one removes duplicate lines in SDXL prompt encoding, the other removes duplicated ControlNet img2img code. They are not the same underlying 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:4369", + "right": "pull_request:4411", + "accept": false, + "reason": "Different bugs and files: PR 4369 fixes duplicate encode_prompt lines across SDXL pipelines, while PR 4411 removes a duplicated ControlNet img2img assignment. They are cleanup-only but not the same code-path 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": 176, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 test-only flaky-test cleanups in Stable Diffusion and both add `set_default_attn_processor()`, but they target different test cases and code paths. They look related by theme, not like one duplicate change that should be merged together.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4415 is the broader, earlier cleanup across more Stable Diffusion tests; 4455 is a narrower follow-up focused on attention-slicing tests, so there is no true duplicate canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 4415 is the best representative of the cluster because it spans more of the shared flaky-test cleanup work and captures the broader pattern behind the changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4415", + "right": "pull_request:4455", + "accept": false, + "reason": "Same general Stable Diffusion test-flakiness theme, but different concrete test paths and fixes. 4415 focuses on compile-related image tests across several pipelines; 4455 focuses on attention-slicing behavior. Too broad and separate 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": 177, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 make the same DreamBooth TensorBoard logging change (use `global_step` instead of `epoch` in `train_dreambooth.py`). PR #4493 is the canonical PR because it is the merged copy of the identical change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4493 is the merged instance of the same patch and title as #4475, so it is the best canonical PR for this change.", + "best_issue_reason": null, + "best_pr_reason": "PR #4493 is the strongest representative because it was merged and its diff matches #4475 exactly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4475", + "right": "pull_request:4493", + "accept": true, + "reason": "Identical title, identical file change, and identical diff replacing `epoch` with `global_step`; these are 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": 178, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two closed PRs appear to be near-duplicate fixes for the same DreamBooth LoRA SDXL batch-size/data-loader issue in the same file, with essentially the same code changes.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4486 is the better canonical PR because its title clearly states the concrete fix ('training with arbitrary batch sizes') and its diff matches the underlying bug fix more explicitly than the vague 'Lora fix' in #4485.", + "best_issue_reason": null, + "best_pr_reason": "PR #4486 is the best representative of the cluster because it is the most descriptively scoped and directly explains the user-visible problem being fixed, while still matching the shared code-path changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4485", + "right": "pull_request:4486", + "accept": true, + "reason": "Both PRs modify the same file with essentially the same DataLoader changes (shuffle/drop_last) to address the same training/batch-size behavior, so they look like duplicate fixes for the same 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": 179, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two pull requests are effectively duplicates: same title, same diff, same file, and same fix for `pipeline_class_name`. The merged PR is the better canonical representative.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4590 is the better canonical PR because it is the merged version of the exact same code change and therefore represents the resolved history of this fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 4590 is the best PR overall because it was merged and has the same implementation as PR 4544, making it the definitive instance of this change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4544", + "right": "pull_request:4590", + "accept": true, + "reason": "Accept: same title, same target file, same patch, and same underlying bug fix; one is simply the merged duplicate of the other." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 patch the same guidance_rescale default-value bug in `pipeline_stable_diffusion.py`; PR 4558 is the broader, issue-linked fix and is the better canonical choice.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4558 is the stronger canonical PR: it has an explicit issue link, broader coverage across related pipelines/examples/tests, and more review/discussion activity while fixing the same default-value bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 4558 best represents the underlying fix because it addresses the bug across multiple affected pipelines and includes validation, making it more complete than the narrow single-file follow-up in PR 4603.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4558", + "right": "pull_request:4603", + "accept": true, + "reason": "Accept: both PRs fix the same concrete bug\u2014incorrect `guidance_rescale` default in the Stable Diffusion code path\u2014and the narrower PR 4603 is a subset of the broader fix in PR 4558." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs change the `guidance_rescale` default from `0.0` to `0.7` in `pipeline_stable_diffusion.py`, and PR 4558 also extends that same fix to additional pipelines/examples/tests with an explicit issue link. The soft-edge accept is conservative because PR 4603 looks like a narrow subset of the broader same-bug fix in PR 4558, so the pair is plausibly mergeable into one PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 181, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 set is a loose theme cluster of documentation/readability/refactor PRs, but they are not duplicates of the same underlying change. The only close pairs share generic cleanup language, not the same code path or doc section.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical PR: these are separate cleanup changes affecting different files and sections, so none safely subsumes the others as a duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 629 is the broadest representative cleanup in the set, spanning multiple source/docs files, but it still does not duplicate the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:471", + "right": "pull_request:683", + "accept": false, + "reason": "Both are docs table-formatting fixes, but they touch different docs pages and different pipeline topics; same style of edit, not the same change." + }, + { + "left": "pull_request:611", + "right": "pull_request:683", + "accept": false, + "reason": "One fixes a copyright typo in scheduler files; the other rewrites a docs table. Related only by being small cleanup PRs." + }, + { + "left": "pull_request:611", + "right": "pull_request:619", + "accept": false, + "reason": "Both are minor cleanup PRs, but they modify different files and different text; no shared bug or concrete fix." + }, + { + "left": "pull_request:611", + "right": "pull_request:629", + "accept": false, + "reason": "These are unrelated cleanup edits in different code areas; the overlap is only generic wording/readability improvement." + }, + { + "left": "pull_request:618", + "right": "pull_request:629", + "accept": false, + "reason": "One updates a docs reference link, the other makes broad readability edits across Flax/utils files; not the same issue." + }, + { + "left": "pull_request:619", + "right": "pull_request:631", + "accept": false, + "reason": "Both are readability fixups, but they touch completely different files and content; too broad to be a duplicate." + }, + { + "left": "pull_request:619", + "right": "pull_request:629", + "accept": false, + "reason": "Shared theme is documentation/readability cleanup, but the file sets and edits are distinct and not mergeable as one fix." + }, + { + "left": "pull_request:629", + "right": "pull_request:631", + "accept": false, + "reason": "Both are cleanup PRs, but 629 targets multiple diffusers source/docs files while 631 only fixes custom_init_isort comments/identifiers." + }, + { + "left": "pull_request:631", + "right": "pull_request:680", + "accept": false, + "reason": "One is a refactor/readability cleanup; the other changes a specific ldm-bert config URL. They address different concrete 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": 182, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are not duplicates: one adds denoising_end support to the ControlNet SDXL pipeline, while the other only updates the Stable Diffusion inpaint pipeline example/docstring. They touch different code paths and solve different problems.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR for a duplicate set here; the PRs are unrelated. If forced, PR #4776 is the more substantive code-change candidate, but it does not match #6988.", + "best_issue_reason": null, + "best_pr_reason": "PR #4776 is the stronger standalone change because it adds actual pipeline behavior (denoising_end handling) rather than a documentation/example update, but it is not a valid duplicate partner for #6988.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4776", + "right": "pull_request:6988", + "accept": false, + "reason": "Different pipelines and different kinds of changes: ControlNet SDXL denoising logic vs Stable Diffusion inpaint example/docstring. 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": "pull_request", + "component_index": 183, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests target the same bug: handling image latents when the VAE returns latents directly instead of a latent distribution. PR 4891 is the cleaner canonical choice because it includes the concrete code fix and tests, while PR 4810 appears broader and more documentation-heavy.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4891 is the best canonical PR because it directly patches the affected pipeline code paths and adds tests for the latent-retrieval behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR 4891 is the strongest representative of this change set: it fixes the concrete sampling bug in the relevant pipelines and verifies it with tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4810", + "right": "pull_request:4891", + "accept": true, + "reason": "Same underlying bug and same fix theme across the same image-to-image/inpaint code paths; the PRs are sufficiently identical to 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": 184, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are both merged Diffusers PRs that touch `src/diffusers/loaders.py`, but they address different changes: PR #4903 relaxes textual inversion loading for SDXL pipelines, while PR #4994 speeds up LoRA loading and refactors loader internals. They do not look like the same underlying fix and should not be clustered together as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No strong canonical PR choice for duplicate-triage purposes; #4994 is broader and more central to loader performance, but it is not the same change as #4903.", + "best_issue_reason": null, + "best_pr_reason": "PR #4994 is the better representative only in a loose topical sense because it has broader loader impact and more references, but 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": "Different features/fixes: #4903 changes textual inversion loading and SDXL pipeline handling, while #4994 targets LoRA loading speed and related loader internals. Shared file `loaders.py` is too broad to indicate 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": 185, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs fix a similar `torch_dtype` misuse in `from_single_file`, but they target different model paths (`VAE` vs `ControlNetModel`) and are not the same concrete bug.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4917 is the broader and clearer representative: it fixes the `dtype` argument bug in `from_single_file` with a generic VAE path and the title directly states the issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #4917 is the best representative of the cluster because it addresses the underlying `torch_dtype`/`dtype` bug pattern in the shared loader code path more generally than the ControlNet-specific follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4917", + "right": "pull_request:5528", + "accept": false, + "reason": "They are related bug fixes in the same file, but they fix different model branches and not the same underlying code-path bug, 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": 186, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are related docs-only pull requests improving different guides (text-to-image, image-to-image, inpaint), but they do not fix the same underlying bug or implement the same change. Treat them as separate PRs, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5210 is the best cluster representative because it is the broadest docs update in the set, touching both img2img and inpaint guides and reflecting the same documentation-improvement theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #5210 is the strongest overall representative of the cluster because it covers multiple docs files and is more central than the single-guide updates, but it is still not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4938", + "right": "pull_request:5020", + "accept": false, + "reason": "Both are documentation improvements, but one is for text-to-image and the other for image-to-image; they update different guides and do not represent the same change." + }, + { + "left": "pull_request:4938", + "right": "pull_request:5210", + "accept": false, + "reason": "These are separate guide rewrites for different topics (text-to-image vs inpaint/img2img docs), so they are not the same concrete change." + }, + { + "left": "pull_request:5020", + "right": "pull_request:5210", + "accept": false, + "reason": "They overlap on img2img docs wording, but #5210 is primarily an inpaint-doc update plus a shared tip tweak, not the same underlying fix or a mergeable single 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": 187, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This cluster is mostly about Stable Diffusion CPU offload behavior, but only one PR is the actual code fix. PR 4998 is the best canonical PR; PR 4997 is a test-only adjustment around offloading, and PR 4995 is unrelated image-variation test cleanup.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4998 directly fixes the offload implementation by excluding safety_checker from CPU offload across affected pipelines, which is the concrete behavior change the cluster centers on.", + "best_issue_reason": null, + "best_pr_reason": "PR 4998 is the strongest representative because it changes the production code path, not just test setup, and it applies the fix across multiple pipelines.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4995", + "right": "pull_request:4997", + "accept": false, + "reason": "Different test fixes for different concerns: 4995 adjusts image-variation test inputs, while 4997 tweaks a Stable Diffusion offload test. They do not appear to address the same underlying bug or change." + }, + { + "left": "pull_request:4997", + "right": "pull_request:4998", + "accept": false, + "reason": "Related offload theme, but not the same change: 4997 is a test-only workaround, while 4998 changes the pipeline implementation to exclude safety_checker from CPU offload. They could coexist, but they are 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": 188, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two PRs are related by Min-SNR / v-prediction training logic, but they target different training scripts and code paths. They are not the same fix and should not be merged as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5106 is the broader, more representative SNR-gamma/v-prediction fix across multiple text-to-image/controlnet training scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR #5106 is the best cluster representative because it addresses the core v-prediction SNR-weighting bug in several example trainers, whereas #5107 is a separate Dreambooth-specific support change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5106", + "right": "pull_request:5107", + "accept": false, + "reason": "Both concern Min-SNR gamma, but #5106 patches v_prediction SNR weighting in text-to-image/controlnet trainers while #5107 adds Dreambooth-specific support with new compute_snr logic; different concrete code paths and not a single 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": 189, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are related to the new compile-test/Docker image effort, but they address different fixes: one introduces CI/build changes and test exclusions, the other repairs the compile CUDA Dockerfile and a specific test. They are adjacent follow-ups, not the same mergeable change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5235 is the more focused representative of the cluster because it directly fixes the compile test environment via the Dockerfile and a targeted test adjustment, whereas #5148 is broader CI/test plumbing work.", + "best_issue_reason": null, + "best_pr_reason": "PR #5235 best represents the underlying theme of compile-test breakage and environment repair; it is narrower and more concrete than #5148, which mainly adds CI wiring and skips compile tests from push tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5148", + "right": "pull_request:5235", + "accept": false, + "reason": "Both concern compile-testing infrastructure, but #5148 adds the compile CUDA image/CI workflow changes and skips compile tests, while #5235 fixes the Dockerfile Python setup and one test. They are related follow-up changes, not the same concrete bug or a single PR merge candidate." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two pull requests about model CPU offload, but they address different bugs: one is BLIPDiffusion-specific offload plumbing, the other fixes the shared offload GPU-id handling in pipeline_utils with tests. They are not duplicate changes.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5183 is the better canonical representative because it fixes the core offload implementation in pipeline_utils and includes regression tests, making it the broader and more central bug fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #5183 is the strongest overall representative of the cluster since it corrects a shared CPU offload code path rather than a single pipeline-specific integration.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5174", + "right": "pull_request:5183", + "accept": false, + "reason": "Reject: #5174 is a BLIPDiffusion-specific offload sequence/device fix, while #5183 changes generic offload GPU-id selection in pipeline_utils and related tests. Different underlying bugs 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": 191, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 pull requests are effectively the same fix for the GLIGEN in-painting 0-d tensor iteration TypeError, target the same issue, and touch the same code paths/files. PR #5305 is the merged/final version, while #5214 is an earlier unmerged duplicate.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5305 is the better canonical PR because it is merged, has the same issue target and nearly identical scope as #5214, and appears to be the finalized version of the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #5305 is the strongest representative because it is merged and implements the same concrete bug fix more definitively than the unmerged earlier duplicate #5214.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5214", + "right": "pull_request:5305", + "accept": true, + "reason": "Same title/issue target, same core GLIGEN in-painting bug, and overlapping file changes indicate the same underlying change; #5305 is the merged continuation of #5214." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are two nearly identical PRs fixing the same Wuerstchen doc/defaults mismatch in the same files; the later merged PR is the best canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5255 is the merged version of the same change, touches the same files with the same diff pattern, and has substantially more review activity than #5243.", + "best_issue_reason": null, + "best_pr_reason": "PR #5255 is the best representative because it is merged and appears to be the finalized duplicate of the same fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5243", + "right": "pull_request:5255", + "accept": true, + "reason": "Same underlying change: identical affected files and matching diff preview adjusting the Wuerstchen pipeline docs/defaults. The merged PR #5255 is a direct duplicate/finalized version of #5243." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs in the same Flax loading area, but they address different changes: PR #527 adds `from_pt` support and related conversion utilities, while PR #603 fixes a specific `from_pretrained` file-existence check bug for PyTorch weights. They are related but not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #527 is the broader, foundational change that introduces `from_pt` support and the associated Flax/PyTorch conversion path, making it the best representative of the cluster theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #527 is the most representative artifact because it covers the main feature addition; PR #603 is a narrower follow-up bugfix in the same code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:527", + "right": "pull_request:603", + "accept": false, + "reason": "Not the same underlying change: #527 adds `from_pt` loading support and conversion utilities, while #603 only corrects a conditional/file check in `from_pretrained`. They touch the same file but fix different problems 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": 194, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs target SDXL ControlNet training/validation fixes, but they are not the same change set: #5278 is mostly a README/default-model and narrow script tweak, while #5279 changes validation behavior, adds a negative prompt, and also touches t2i_adapter and dependency files.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "#5279 is the better canonical PR candidate because it is broader, has real review activity, and contains the more substantive code-path fix in `train_controlnet_sdxl.py` rather than mostly documentation/default-value edits.", + "best_issue_reason": null, + "best_pr_reason": "#5279 is the strongest PR in the cluster: it addresses the core validation/checkpointing path, has supporting changes in related files, and appears more vetted than #5278.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5278", + "right": "pull_request:5279", + "accept": false, + "reason": "They overlap on `train_controlnet_sdxl.py`, but the concrete edits differ: #5278 changes the model/README and removes a validation-path xformers guard, while #5279 restores xformers handling, adds a negative prompt, and includes unrelated dependency/t2i_adapter updates. 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": 195, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are three closely related PRs around shrinking Stable Diffusion fast-test dummy components for issue #5262. PR 5370 is the merged, most complete implementation; 5288 is only a TODO/commentary change; 5366 is an earlier competing implementation with different dummy-model settings.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5370 is the only merged change and appears to be the final, concrete fix for the fast-test size reduction in the StableDiffusion test fixture.", + "best_issue_reason": null, + "best_pr_reason": "PR 5370 is the best representative because it is merged, touches the exact target code path, and implements the substantive model-size reductions rather than just comments or an alternative draft.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5366", + "right": "pull_request:5370", + "accept": true, + "reason": "Both PRs change the same StableDiffusion fast-test dummy component setup in the same file to reduce model size for issue #5262; 5370 looks like the final version of the same underlying fix." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5366", + "accept": false, + "reason": "5288 only adds a TODO/comment about making the fast test smaller, while 5366 makes actual component-config changes; they are related but not the same change." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5370", + "accept": false, + "reason": "5288 is just a placeholder/commentary PR, whereas 5370 contains the real code changes to the test fixture; not the same underlying change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays within the packet: 5288 is only a comment/TODO, 5370 is the merged implementation, and 5366 is an earlier alternative change in the same test file tied to the same issue. The 5366\u21945370 linkage is conservative enough given the shared target file and issue." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 196, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 independent documentation-only PRs in the same file, but they target different classes and different docstrings, so they are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5389 is a broader, clearer representation of the docstring-only change pattern in this cluster, but it is still distinct from #5293.", + "best_issue_reason": null, + "best_pr_reason": "PR #5389 is the better standalone representative because it covers a larger, self-contained documentation update with a clearer class target; however, it is not a duplicate of #5293.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5293", + "right": "pull_request:5389", + "accept": false, + "reason": "Different targets and different changes: #5293 documents AutoencoderTinyBlock, while #5389 documents UNetMidBlock2D. They share a file but 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": 197, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three PRs are related only at a high level as dependency pinning in Docker/CI images, but they target different packages and different underlying compatibility problems: torch version pinning in one image, torch upper-bound pinning across test runners, and a temporary numpy pin across CI images.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6780 is the broadest and most central dependency-fix PR in this set: it updates multiple runner Dockerfiles plus setup/dependency metadata to constrain torch versions consistently.", + "best_issue_reason": null, + "best_pr_reason": "PR #6780 is the best representative because it spans the shared torch compatibility issue across several images and repository metadata, making it the most cluster-central change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5297", + "right": "pull_request:6780", + "accept": false, + "reason": "Both pin torch, but #5297 is a narrow pin to specific versions in one CUDA image, while #6780 applies a repo-wide torch <2.2.0 constraint across several test-runner images and dependency files. Different scope and likely different compatibility trigger." + }, + { + "left": "pull_request:6780", + "right": "pull_request:8603", + "accept": false, + "reason": "These address different packages and failure modes: torch pinning versus numpy pinning. They overlap only in being CI/container dependency fixes, not in the same underlying bug or mergeable code-path 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": 198, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are two separate documentation PRs in the same inpaint guide: one adds a mask-creation helper section, the other adds a comparison showing non-inpaint checkpoints. They touch the same file but address different guide improvements, so they are not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5590 is the better canonical PR for the cluster because it is the larger, more self-contained docs expansion and reads as the stronger representative of the inpaint-guide updates.", + "best_issue_reason": null, + "best_pr_reason": "PR #5590 is the best PR candidate overall because it makes the more substantial and standalone change to the inpaint documentation, while #5322 is a smaller auxiliary addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5322", + "right": "pull_request:5590", + "accept": false, + "reason": "They modify the same documentation page but add different content for different purposes: one explains creating a mask image, the other compares regular vs inpaint checkpoints. 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": 199, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two pull requests in the same general multi-GPU training area, but they fix different concrete bugs in different example scripts. They should not be clustered as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5355 is the better canonical PR: it has the clearer bug description, broader scope across two SDXL LoRA example scripts, and directly addresses the concrete multi-GPU DDP error via `find_unused_parameters=True`.", + "best_issue_reason": null, + "best_pr_reason": "PR #5355 is the strongest representative of the cluster because it fixes a specific runtime failure in a well-defined code path and has the clearer, more actionable title and diff.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5340", + "right": "pull_request:5355", + "accept": false, + "reason": "Both mention multi-GPU, but they fix different bugs: #5340 changes checkpointing behavior in `train_unconditional.py` around `accelerator.is_main_process`, while #5355 changes DDP kwargs in SDXL LoRA training to address `find_unused_parameters`. Different code paths 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": 200, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 appear to be near-identical implementations of the same xformers test-runner move; 5349 is the merged version and is the best canonical PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5349 is merged and covers the same xformers runner/workflow change, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #5349 is the strongest representative because it is merged, reviewed, and implements the same concrete workflow/docker/test-runner change as the other PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5347", + "right": "pull_request:5349", + "accept": true, + "reason": "Both PRs change the same workflow/docker/test files to add a dedicated xformers CUDA test runner, with highly overlapping file coverage and matching diff structure; they 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": 201, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are both Docker image maintenance changes, but they target different images and different concrete dependency sets: one updates the slow CUDA test images, the other updates the xformers CUDA image and unpins torch/torchvision. They do not look like the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5426 is the better representative of the cluster because it makes the broader base-image update across two CUDA test Dockerfiles, so it is the more general maintenance change.", + "best_issue_reason": null, + "best_pr_reason": "PR #5426 is the strongest standalone representative: it has the larger, clearer image-base upgrade and affects multiple Dockerfiles, making it more useful as the cluster\u2019s canonical PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5426", + "right": "pull_request:5597", + "accept": false, + "reason": "Different Docker images and different dependency updates; they share only broad CUDA/docker maintenance context, not 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": 202, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are all unrelated maintenance changes: one scheduler test fix, one Alt Diffusion whitespace cleanup, and two separate documentation/template wording tweaks. The soft-similarity signal is misleading here; they should not be deduplicated together.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue-linked PRs here; among the PRs, #7340 is the most substantive and concrete because it fixes scheduler test behavior for LMSDiscreteScheduler, while the others are formatting or wording-only edits.", + "best_issue_reason": null, + "best_pr_reason": "#7340 is the best representative PR because it targets a specific code-path behavior in scheduler tests. The others are unrelated doc/template cleanup or trivial whitespace changes, so they are not good canonical choices for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5464", + "right": "pull_request:5582", + "accept": false, + "reason": "Unrelated changes: Alt Diffusion pipeline whitespace vs. issue/PR template and repository text edits." + }, + { + "left": "pull_request:5464", + "right": "pull_request:5810", + "accept": false, + "reason": "Unrelated changes: Alt Diffusion pipeline whitespace vs. README wording/capitalization updates." + }, + { + "left": "pull_request:5464", + "right": "pull_request:7340", + "accept": false, + "reason": "Different domains and intent: Alt Diffusion formatting cleanup vs. scheduler test logic for LMSDiscreteScheduler." + }, + { + "left": "pull_request:5582", + "right": "pull_request:5810", + "accept": false, + "reason": "Both are docs/metadata edits, but they change different files for different purposes and are not the same underlying change." + }, + { + "left": "pull_request:5582", + "right": "pull_request:7340", + "accept": false, + "reason": "Template/documentation cleanup is unrelated to a scheduler test behavior fix." + }, + { + "left": "pull_request:5810", + "right": "pull_request:7340", + "accept": false, + "reason": "README wording edits are unrelated to a scheduler test code-path 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": 203, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three pull requests are about different fixes: a docs typo, a ControlNet example signature fix, and a TensorRT guidance_scale bug fix. They are not duplicates and should not be clustered as the same change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7065 is the strongest representative because it fixes a concrete runtime bug across two example pipelines, whereas the others are either documentation-only or a separate ControlNet example compatibility fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 7065 is the best overall representative of the cluster because it is the most substantive code change and the most clearly user-facing bug fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5486", + "right": "pull_request:5717", + "accept": false, + "reason": "Different kinds of changes: 5486 only corrects ControlNet documentation text, while 5717 changes the forward signature in a community example to accept extra args/kwargs. They do not fix the same bug or code path." + }, + { + "left": "pull_request:5486", + "right": "pull_request:7065", + "accept": false, + "reason": "5486 is a docs-only typo fix; 7065 fixes TensorRT pipeline state handling for guidance_scale in two separate example scripts. No shared underlying bug or mergeable single 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": 204, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two pull requests are not duplicates: one changes the community LCM example\u2019s scheduler handling, while the other fixes custom pipeline loading to respect repo revisions. They touch different code paths and solve different problems.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5659 is the better canonical PR for the cluster because it is merged, addresses a concrete framework-level bug in custom pipeline loading, and has a clearer, more general impact than the example-only LCM backward-compatibility tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #5659 is the strongest PR candidate overall: it is merged, fixes a specific bug in `pipeline_utils.py`, and is more broadly applicable than PR #5514, which only affects one community example.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5514", + "right": "pull_request:5659", + "accept": false, + "reason": "Different underlying changes: #5514 modifies the LCM community example\u2019s scheduler initialization, while #5659 fixes repository revision handling for custom pipelines in `pipeline_utils.py`. They do not target the same bug or 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": 205, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 closely related but distinct documentation-cleanup PRs, not duplicates of the same change. They all fix typos or wording in different doc sections, so the high similarity is from shared editorial intent rather than one underlying bug or patch.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5588 is the broadest merged docs cleanup in the set, touching main-page and repository-level files, so it is the best single representative of this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 5588 is the strongest cluster anchor: merged, broad in scope, and representative of the general docs typo/update theme without being tied to one narrow subsection.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5521", + "right": "pull_request:5583", + "accept": false, + "reason": "Both are docs typo sweeps, but they cover different file sets and sections; not the same concrete change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5584", + "accept": false, + "reason": "One targets templates/main docs, the other targets loading and hub docs; separate cleanup batches." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5585", + "accept": false, + "reason": "Different doc areas (templates/main files vs conceptual guides); similarity is only topical." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5586", + "accept": false, + "reason": "Tutorial-page cleanup versus template/main-file cleanup; distinct PRs with different patch scopes." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5587", + "accept": false, + "reason": "Getting-started docs and docs README changes are unrelated to the template/main-file typo sweep." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5588", + "accept": false, + "reason": "Both are broad docs edits, but they touch different repository areas and are not one unified code/docs change." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5584", + "accept": false, + "reason": "Separate documentation sections: pipeline/examples pages versus loading/hub pages." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5585", + "accept": false, + "reason": "API/example doc typos and conceptual-guide typos are different cleanup sets." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5586", + "accept": false, + "reason": "Different targets: pipeline/example docs versus tutorials docs." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5587", + "accept": false, + "reason": "Pipeline/example docs and getting-started docs are distinct patches." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5585", + "accept": false, + "reason": "Loading/hub documentation changes are not the same change as conceptual-guide edits." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5586", + "accept": false, + "reason": "Loading/hub page fixes and tutorial fixes address different docs and wording." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5587", + "accept": false, + "reason": "These are separate docs batches for loading/hub versus getting-started pages." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5588", + "accept": false, + "reason": "One is focused on loading/hub docs, the other on main-page and .github repository files." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5586", + "accept": false, + "reason": "Conceptual-guide edits and tutorial edits are different documentation changes." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5587", + "accept": false, + "reason": "Conceptual docs versus getting-started docs; not the same underlying patch." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5588", + "accept": false, + "reason": "Conceptual guide cleanup is unrelated to the main-page/.github cleanup batch." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5587", + "accept": false, + "reason": "Tutorial-page typo fixes and getting-started-page fixes are separate documentation updates." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5588", + "accept": false, + "reason": "Tutorial docs changes and main-page/.github changes are different cleanup scopes." + }, + { + "left": "pull_request:5587", + "right": "pull_request:5588", + "accept": false, + "reason": "Getting-started docs and repository-level .github/main-page edits 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": 206, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 address final CPU/model hook offloading in diffusion pipelines, but they are separate scoped updates rather than the same mergeable change. PR 5589 is a narrower pipeline set; PR 5680 is a later, broader free-model-hook cleanup across additional pipelines.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5680 is the better canonical representative because it generalizes the offload-hook cleanup to a wider set of pipelines and uses the newer maybe_free_model_hooks pattern consistently.", + "best_issue_reason": null, + "best_pr_reason": "PR 5680 is the strongest standalone PR: broader coverage, clearer hook cleanup, and it consolidates the offloading behavior more completely than 5589.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5589", + "right": "pull_request:5680", + "accept": false, + "reason": "Related theme, but not the same concrete change. 5589 updates final offloading for a subset of pipelines, while 5680 removes specific offload calls and switches to maybe_free_model_hooks across a different, broader pipeline 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": 207, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related to Wuerstchen + PEFT support, but they are not the same concrete patch: #5696 changes generic attention/offload logic plus one WuerstchenPrior file, while #5704 updates Wuerstchen layer classes and adds tests. #5704 is the stronger canonical PR for the cluster.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5704 is merged, directly targets the reported Wuerstchen/PEFT breakage, and includes the broader model-layer fix plus tests; it best represents the completed change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #5704 is the best representative because it is merged and covers the full Wuerstchen PEFT compatibility fix in the affected code paths, with test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5696", + "right": "pull_request:5704", + "accept": false, + "reason": "They share the same issue target and subsystem, but the diffs are not the same change: #5696 also edits generic attention_processor LoRA-offload logic, while #5704 changes Wuerstchen model layers and tests. Related, but not duplicate enough to 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": 208, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs touch the PixArt-Alpha pipeline and tests, but they address different problems: PR #5739 adds resolution binning, while PR #5752 fixes multi-image generation and prompt mask handling. They are related by subsystem, not the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5752 is the more specific bug fix and directly addresses a concrete runtime failure in multi-image generation.", + "best_issue_reason": null, + "best_pr_reason": "PR #5752 is the best representative of the cluster because it targets a user-visible correctness bug rather than a feature addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5739", + "right": "pull_request:5752", + "accept": false, + "reason": "Same pipeline/files, but different code-paths and goals: resolution binning vs. multi-image prompt/mask handling. They 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": 209, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs touch the same Flax Stable Diffusion pipeline file but address different problems: one adds PNDM scheduler support, the other adds dtype passthrough during Flax model init. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #583 is the more central cluster member: it makes the Flax Stable Diffusion pipeline work with PNDM by wiring in scheduler state and loop changes, which is the larger concrete code-path change.", + "best_issue_reason": null, + "best_pr_reason": "PR #583 is the best representative of the cluster because it implements a substantive pipeline capability rather than a small config convenience fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:583", + "right": "pull_request:600", + "accept": false, + "reason": "Different changes: #583 adds PNDM scheduler support in the Flax pipeline, while #600 only propagates dtype from config into initialization. Shared filename alone is not enough to merge them 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": 210, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are related only by the LMS/stable-diffusion area, but they address different problems: #587 adds K-LMS support to img2img/inpainting, while #664 fixes a separate LMS scheduler PyTorch regression. They should not be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical PR: #587 is a feature/support change for inpainting, while #664 is a separate scheduler regression fix.", + "best_issue_reason": null, + "best_pr_reason": "#664 is the cleaner standalone bug-fix PR if one item must represent the cluster, but it is not a duplicate of #587.", + "soft_edge_verdicts": [ + { + "left": "pull_request:587", + "right": "pull_request:664", + "accept": false, + "reason": "Different underlying changes and code paths: #587 adds K-LMS inpainting/img2img support, whereas #664 fixes LMS scheduler sigma handling and a dependency regression. They do not look like 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": 211, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "PR #5878 and #5879 are near-duplicate fixes for the same VAE scale-factor robustness issue across the same set of pipelines. PR #6031 is unrelated LoRA padding behavior and should not be clustered with them.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5878 is the cleaner canonical representative: it has the clearer title and the same VAE fallback fix applied consistently across the affected pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #5878 is the best overall PR in this cluster because it directly addresses the VAE config compatibility bug with a consistent cross-pipeline change; #5879 is essentially the same fix with a noisier title and near-identical implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5878", + "right": "pull_request:5879", + "accept": true, + "reason": "Same underlying bug: make pipeline VAE scale-factor handling work with configs that expose decoder_block_out_channels instead of block_out_channels. The diffs overlap on the same files and the code change is functionally equivalent." + }, + { + "left": "pull_request:5879", + "right": "pull_request:6031", + "accept": false, + "reason": "Different problem and code path: #5879 fixes VAE config compatibility in diffusion pipelines, while #6031 changes LoRACompatibleConv padding_mode behavior 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": 212, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs touch the same training script, but they address different changes: PR #5935 adds LoRA/SDXL training-script fixes including a text-encoder LoRA state-dict helper, while PR #6040 only changes `token_abstraction` parsing/help text. They are related, but not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5935 is the broader, more substantive change set in the cluster; it fixes actual training-script behavior, whereas PR #6040 is a narrow CLI-argument tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #5935 is the best representative for this cluster because it covers the main bug-fix work and has the wider scope of impact in the shared script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5935", + "right": "pull_request:6040", + "accept": false, + "reason": "Different underlying changes. #5935 adds LoRA/text-encoder helper logic and other training-script fixes; #6040 only changes the `--token_abstraction` argument type/help text. Same file, but not the same 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": 213, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests implement the same fix in the same file and location: moving the DreamBooth SDXL components back to CPU and clearing CUDA memory before final inference. PR 5970 is slightly more complete because it also cleans up LoRA layers when training the text encoder.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5970 is the better canonical PR because it appears first and includes the broader cleanup, including conditional deletion of text-encoder LoRA layers in addition to the shared GPU-memory release steps.", + "best_issue_reason": null, + "best_pr_reason": "PR 5970 is the strongest representative of the cluster: same code path, same intent, and the most complete version of the fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5970", + "right": "pull_request:5971", + "accept": true, + "reason": "Same underlying change: both free UNet/text encoder memory before final inference in the same script. The differences are minor cleanup/comment wording, and the 5970 version is a superset with extra LoRA-layer deletion." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the diffs: both PRs add the same GPU-memory cleanup at the same spot in `train_dreambooth_lora_sdxl.py`, and PR 5970 does include the extra LoRA-layer deletion gated on `args.train_text_encoder`. The soft-edge acceptance is conservative enough, and the two changes look mergeable as one bugfix PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 214, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "No duplicate cluster here: the three pull requests address different changes. PR #7343 is a broad code/doc/test refactor around config attribute access, #7344 is a small test-only config-loading adjustment, and #6043 fixes a deprecation warning in single_file loading. None should be merged as the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR #7343 is the best representative because it is the most substantial code change and touches the underlying config-attribute access pattern across multiple real code paths, unlike the smaller test-only or warning-fix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6043", + "right": "pull_request:7344", + "accept": false, + "reason": "Different code paths and purposes: #6043 changes a dtype call in single_file loading, while #7344 only rewrites a config-loading test. They do not fix the same bug or merge cleanly into one PR." + }, + { + "left": "pull_request:7343", + "right": "pull_request:7344", + "accept": false, + "reason": "Related only in a broad config area, but #7343 updates production and docs code for accessing config attributes, whereas #7344 changes one test's loading pattern. 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": 215, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are unrelated pull requests: one fixes SDXL `from_single_file` behavior for inpaint/model components, the other adds `config_file` support for ControlNet `from_single_file`. They touch the same broad loader area but not the same bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6959 is the better canonical PR for this cluster because it is the merged, self-contained change, while #6138 addresses a different SDXL-specific loader bug.", + "best_issue_reason": null, + "best_pr_reason": "PR #6959 is the best representative artifact here: it is merged, narrowly scoped, and clearly describes a single loader enhancement. PR #6138 is a separate SDXL fix and should not be conflated with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6138", + "right": "pull_request:6959", + "accept": false, + "reason": "Different changes and different code paths: #6138 fixes SDXL single-file loading for inpaint-related components, while #6959 adds `config_file` passthrough for ControlNet `from_single_file`. 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": 216, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 `pipeline_controlnet.py`, but they address different problems: one fixes a typo in a nested-image `ValueError`, while the other changes multi-ControlNet prompt/image handling and tests. They should not be deduplicated.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6334 is the broader, behavior-changing fix for multi-image/multi-ControlNet input handling and includes tests; PR #6286 is only a message typo correction.", + "best_issue_reason": null, + "best_pr_reason": "PR #6334 is the best representative of the underlying bug/change because it fixes the actual ControlNet input-handling logic rather than just editing error text.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6286", + "right": "pull_request:6334", + "accept": false, + "reason": "Not the same underlying change: #6286 only adjusts an error string, while #6334 changes input validation behavior for multi-ControlNet prompts/images and adds tests." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 three separate Japanese docs translation PRs that all touch the JA toctree, but they target different tutorial pages/content rather than the same concrete change. I would not cluster them as duplicates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6338 is the best anchor for the cluster because it is merged and makes the broadest initial JA docs/tutorials update, whereas the other two are distinct follow-on translations.", + "best_issue_reason": null, + "best_pr_reason": "PR 6338 is the most suitable representative overall: merged, broadly scoped, and closest to the common JA docs navigation update theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6338", + "right": "pull_request:6629", + "accept": false, + "reason": "Both edit the JA toctree, but 6338 updates the tutorials overview/index while 6629 adds an AutoPipeline tutorial page; these are separate documentation changes, not the same underlying PR." + }, + { + "left": "pull_request:6338", + "right": "pull_request:6637", + "accept": false, + "reason": "6338 is a tutorials/index translation update, while 6637 translates loading/Hub docs; they share the same docs area but not the same concrete change." + }, + { + "left": "pull_request:6629", + "right": "pull_request:6637", + "accept": false, + "reason": "These PRs add different JA tutorial documentation topics (AutoPipeline vs loading docs); shared toctree edits are 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": 218, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs all live under the optimization/docs area, but they are for different underlying features: DeepCache, TGATE, xDiT, and a separate TGATE enablement PR. They share section-level similarity only, not the same concrete change or bug.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7639 is the best central representative of the cluster because it introduces the TGATE optimization page and sits between the other optimization-doc additions, but it is still a distinct change from DeepCache, xDiT, and the TGATE enablement PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 7639 is the strongest standalone representative of the optimization-docs subgroup: it is a complete, merged docs addition with clear scope and the most explicit topical overlap with the others, even though it is not a duplicate of them.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6390", + "right": "pull_request:7639", + "accept": false, + "reason": "DeepCache docs vs TGATE docs: same parent section, but different optimization methods and different pages. Shared _toctree placement is not enough to indicate the same change." + }, + { + "left": "pull_request:7596", + "right": "pull_request:7639", + "accept": false, + "reason": "Both mention TGATE, but 7596 is a feature/enablement PR for PixArt-Alpha while 7639 is a documentation PR. Different change type and no evidence they fix the same code path." + }, + { + "left": "pull_request:7639", + "right": "pull_request:9365", + "accept": false, + "reason": "TGATE and xDiT are separate optimization technologies with different docs pages and scope; they only overlap in the optimization docs tree." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items are scheduler-related PRs, but they address different changes: PR #6477 fixes a specific DPM Solver `use_karras_sigmas`/final-sigma behavior, while PR #7817 adds broader custom `timesteps` and `sigmas` support across many pipelines and docs. They are not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6477 is the better canonical PR because it targets a narrow, concrete scheduler bug fix with clear code-path changes in DPM solver implementations, whereas #7817 is a broader feature PR spanning many pipelines and documentation.", + "best_issue_reason": null, + "best_pr_reason": "PR #6477 best represents the specific underlying scheduler fix in this cluster; #7817 is more of a general feature expansion than the same bug/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6477", + "right": "pull_request:7817", + "accept": false, + "reason": "They overlap on scheduler internals, but #6477 fixes a specific DPM Solver `use_karras_sigmas` final-sigma issue while #7817 adds general custom timestep/sigma support across many pipelines. Different concrete changes, so 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": 220, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 pull requests touch the same scheduler `add_noise` path, but they are not the same fix: PR #648 addresses device placement for `timesteps`/`alphas_cumprod`, while PR #767 expands the handling to dtype as well and broader scheduler coverage. They are related, but not duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #767 is the better canonical PR for this cluster because it is the later, broader `add_noise` fix and explicitly covers the dtype/device handling that subsumes the narrower device-only adjustment in PR #648.", + "best_issue_reason": null, + "best_pr_reason": "PR #767 is the strongest representative of the cluster because it clearly states the `add_noise` dtype/device bug, touches multiple schedulers, and appears to be the more complete implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:648", + "right": "pull_request:767", + "accept": false, + "reason": "Related scheduler fixes, but not the same underlying change: #648 fixes device movement for `add_noise`, while #767 adds dtype handling and broader scheduler updates. 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": 221, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 all related to AnimateDiff, but they are distinct feature/fix efforts: long-context generation, PAG integration, FreeNoise, ControlNet-to-core migration, and vid2vid+ControlNet. The overlaps are mostly in shared pipeline/docs files, not the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the cluster contains several separate AnimateDiff changes rather than duplicates of one fix or feature.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:9337 is the most self-contained and mature concrete pipeline addition (AnimateDiff video-to-video + ControlNet), with substantial discussion and a clear feature boundary, so it is the best representative if one must choose one PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6551", + "right": "pull_request:8789", + "accept": false, + "reason": "Different changes: 6551 fixes multicontrolnet support in the community example, while 8789 adds PAG support for AnimateDiff. Same ecosystem, not the same bug or code path." + }, + { + "left": "pull_request:8275", + "right": "pull_request:8789", + "accept": false, + "reason": "Long-context video generation vs. PAG variant are separate AnimateDiff features with different implementation goals." + }, + { + "left": "pull_request:8789", + "right": "pull_request:8972", + "accept": false, + "reason": "PAG support and moving ControlNet to core are unrelated changes; they share package wiring but not the same underlying feature or fix." + }, + { + "left": "pull_request:8948", + "right": "pull_request:8972", + "accept": false, + "reason": "FreeNoise adds temporal/context sampling behavior, while 8972 migrates AnimateDiff ControlNet into core. Shared files do not imply duplicate PRs." + }, + { + "left": "pull_request:8972", + "right": "pull_request:9337", + "accept": false, + "reason": "Both concern AnimateDiff ControlNet, but one is a core migration and the other is a new video-to-video ControlNet pipeline. They could not plausibly be merged 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": 222, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 mostly a set of related Windows path-compatibility PRs across different diffusers modules, not one single duplicate change. Two pairs are close enough to treat as the same underlying fix; the rest are related but distinct code-paths.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6737 is the strongest canonical representative: it is merged, explicitly targets issue 6585, and makes a focused, concrete Windows path fix in one code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #6737 is the best overall representative of the cluster because it is merged, issue-linked, and has a clear minimal path-normalization change; the other PRs are adjacent but separate Windows-support fixes in different files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6587", + "right": "pull_request:6590", + "accept": false, + "reason": "Same general Windows-path theme, but different files and different helper code paths; not the same concrete change." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6608", + "accept": false, + "reason": "Different modules and different load/save logic; too broad to count as the same bug fix." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6803", + "accept": true, + "reason": "Both modify src/diffusers/utils/testing_utils.py to fix Windows-incompatible path joining; these are the same underlying helper-file bug and could plausibly be combined." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6608", + "accept": false, + "reason": "Both are Windows path cleanups, but they fix different loaders in different files and are not one concrete code-path problem." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6781", + "accept": false, + "reason": "Different save/load paths in different modules; same theme, but not the same underlying change." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6803", + "accept": false, + "reason": "Different file and different helper functions; not the same bug fix." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6740", + "accept": false, + "reason": "Different files and no shared concrete code path; only a broad Windows-support similarity." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6781", + "accept": false, + "reason": "Both touch path handling, but they affect different model-saving/loading code paths in different modules." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6803", + "accept": false, + "reason": "Different modules and different helper logic; related theme only." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6737", + "accept": false, + "reason": "Both are in onnx_utils, but the diffs are not the same concrete fix and change different logic/conditions." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6737", + "accept": false, + "reason": "They share issue target 6585 and Windows-support intent, but they fix different files and different code paths." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6740", + "accept": false, + "reason": "Different files and no shared concrete bug; only the same broad path-normalization theme." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6781", + "accept": false, + "reason": "Different modules and different save logic; not mergeable as one duplicate fix." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6803", + "accept": false, + "reason": "Different files and unrelated helper functions; too broad to accept." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6740", + "accept": false, + "reason": "One is onnx_utils and the other is pipeline_flax_utils; same issue target is not enough to make them the same fix." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6781", + "accept": false, + "reason": "Both are Windows path fixes, but they apply to different model serialization/loading code paths." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6803", + "accept": false, + "reason": "Different files and different helper routines; not the same underlying bug." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6781", + "accept": false, + "reason": "Different modules and different functionality; only a shared Windows-path motif." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6803", + "accept": false, + "reason": "Different files and code paths; not the same concrete change." + }, + { + "left": "pull_request:6781", + "right": "pull_request:6803", + "accept": false, + "reason": "Different modules and different save/load helpers; same theme only." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6719", + "accept": true, + "reason": "Both patch src/diffusers/loaders/unet.py with the same Windows path-normalization fix for model saving; 6719 is a refinement of the same underlying change and could be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it frames the cluster as related Windows path-compatibility fixes rather than one duplicate change. The two accepted soft pairs are reasonable same-file/same-helper or same-function refinements, and the rejected pairs are cautious given the different files/code paths." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 223, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 `load_hf_numpy` path-construction bug in `src/diffusers/utils/testing_utils.py`; PR 6627 is the broader, more complete fix, while PR 6849 is a narrower follow-up. They are close enough to treat as the same change cluster.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6627 is the better canonical PR because it fixes the full path-handling bug, including the broken HTTP/HTTPS check and the Posix-path construction, whereas PR 6849 only swaps out the path construction line.", + "best_issue_reason": null, + "best_pr_reason": "PR 6627 is the strongest representative: it addresses the underlying failure mode more completely and is the most self-contained fix for the testing utility path bug.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6627", + "right": "pull_request:6849", + "accept": true, + "reason": "Same function, same file, same underlying bug in test data URL/path construction; the second PR is a narrower variant of the first and could plausibly be merged into one fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded overall. The summary stays within the packet: both PRs touch the same function/file and overlapping path-handling logic, and PR 6627 is indeed the broader fix while PR 6849 is narrower. The soft-edge acceptance is conservative enough because the two diffs could plausibly be merged into one 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": 224, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 a family of related HunyuanDiT pull requests, but they cover distinct follow-up changes: initial model/pipeline introduction, attention refactors, QKV fusion, memory optimization, ControlNet support, and v1.2 support. They should not be deduplicated into one change set.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8240 is the foundational HunyuanDiT introduction, adding the core transformer, pipeline, exports, and tests that the later PRs build on.", + "best_issue_reason": null, + "best_pr_reason": "PR #8240 is the best representative PR for the cluster because it establishes the base HunyuanDiT feature set; the other PRs are narrower follow-up enhancements or variants rather than the same concrete change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6665", + "right": "pull_request:8396", + "accept": false, + "reason": "Different changes: #6665 introduces the I2VGen-XL image-to-video pipeline, while #8396 only adds QKV fusion support for HunyuanDiT attention. They affect unrelated code paths and would not be merged as one PR." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8747", + "accept": false, + "reason": "#8240 is the initial HunyuanDiT integration; #8747 adds HunyuanDiT-v1.2 support via embedding/model adjustments. Related project area, but not the same underlying change." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8265", + "accept": false, + "reason": "#8265 is a refactor of the Hunyuan DiT attention implementation, not the same concrete feature as the initial HunyuanDiT add in #8240." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8694", + "accept": false, + "reason": "#8265 is an internal attention refactor, while #8694 adds Hunyuan-DiT ControlNet inference. Different feature sets and different code paths." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8747", + "accept": false, + "reason": "#8265 changes attention internals; #8747 adds v1.2 support through embedding/model updates. These are distinct follow-up changes, not duplicates." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8399", + "accept": false, + "reason": "#8396 enables fused QKV projections in attention, whereas #8399 is a VRAM/memory-optimization change for the pipeline. Same subsystem, but different concrete fixes." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8747", + "accept": false, + "reason": "#8396 is an attention performance tweak; #8747 is a model-version support update. They do not address 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": 225, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are two separate merged community-pipeline PRs: one adds SDXL IPEX CPU acceleration, the other adds AnimateDiff IPEX CPU acceleration. They share only the community README and the broad IPEX/CPU theme, but they target different pipelines and code paths.", + "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:6683", + "right": "pull_request:8643", + "accept": false, + "reason": "Different concrete changes: SDXL IPEX vs AnimateDiff IPEX. Shared README edits and broad subsystem are not enough to treat these as the same underlying fix or merge them 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": 226, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 target the same UNet1D timestep-embedding dimension bug, but 6692 is the more complete fix and subsumes 6690's core change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6692 is the better canonical PR because it includes the shared embedding-size fix plus additional related corrections in the same code path, making it the more complete representative change.", + "best_issue_reason": null, + "best_pr_reason": "PR 6692 is the strongest overall representative: it directly fixes the timestep embedding dimension and also corrects downstream shape handling, so it best captures the underlying bug and final intended patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6690", + "right": "pull_request:6692", + "accept": true, + "reason": "Same underlying UNet1D timestep-embedding bug; 6692 contains the same embedding_size change as 6690 and extends it with related fixes in the same constructor path, so they are close enough 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": 227, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are not duplicates: one is a test directory refactor for VAE/UNet tests, the other is a broad ControlNet module reorganization in core library code and docs.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8768 is the more central code change in this cluster: it introduces the new `models.controlnets` module and updates core imports/exports. PR #6738 is a narrower test-only structure cleanup.", + "best_issue_reason": null, + "best_pr_reason": "PR #8768 is the best representative artifact because it captures the substantive library-level refactor, while #6738 is just a related but separate test layout change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6738", + "right": "pull_request:8768", + "accept": false, + "reason": "Different underlying changes: #6738 moves and rewires test files, while #8768 splits out the ControlNet model code into a new module and updates docs/imports. They do not fix the same code-path problem 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": 228, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two closed PRs for MotionCtrl on Stable Video Diffusion overlap in topic and some core files, but 7005 looks like a follow-up/community packaging of the feature rather than the same standalone change as 6844. I would not deduplicate them as the same PR.", + "confidence": 0.71, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6844 is the earlier, more central implementation of MotionCtrl SVD, with the conversion script and core model/pipeline changes needed for the feature.", + "best_issue_reason": null, + "best_pr_reason": "PR 6844 is the best representative because it is the original feature implementation and the most directly tied to the underlying code-path changes; PR 7005 reads more like a later community/example-focused follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6844", + "right": "pull_request:7005", + "accept": false, + "reason": "Same MotionCtrl SVD feature area, but 7005 adds examples/research-project packaging and references 6844 as prior work; it is not clearly the same concrete code change or a single 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": 229, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are unrelated: one patches a training example script for distributed setup, while the other adds `callback_on_step_end` behavior and a noise-rescaling helper in the LDM3D pipeline. They do not target the same bug or change and should not be clustered together.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7149 is the stronger canonical PR because it is a merged, well-scoped code change with an explicit issue target and clear pipeline functionality addition.", + "best_issue_reason": null, + "best_pr_reason": "PR #7149 is the best representative of the cluster only because it is the only substantive merged change; PR #6846 appears to be an unrelated training-script edit with no clear issue linkage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6846", + "right": "pull_request:7149", + "accept": false, + "reason": "Different code paths and purposes: one modifies an example training script for accelerator/process-group setup, the other changes the StableDiffusionLDM3D pipeline to add callback support and guidance rescaling. 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": 230, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs with nearly identical wording, but they fix the same gradient-clipping pattern in different example training scripts, for different issue targets. They are related, but not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #686 is the better canonical PR: it has higher discussion/inbound activity and appears slightly more central, while still representing the same fix pattern as the other PR.", + "best_issue_reason": null, + "best_pr_reason": "PR #686 is a strong representative for the cluster because it is the earlier, more referenced fix and clearly shows the core pattern being corrected in code.", + "soft_edge_verdicts": [ + { + "left": "pull_request:686", + "right": "pull_request:721", + "accept": false, + "reason": "Both PRs add the same guard around clip_grad_norm_, but they apply it to different example scripts, different model code paths, and different issue targets. This is a shared fix pattern, not the same concrete bug/change that should 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": 231, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are the same underlying 2D attention-name fix and differ mainly by scope; the 3D UNet PR is a separate change and should not be clustered with them.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6983 is the most complete representative of the 2D attention-parameter naming fix: it covers the same ControlNet/UNet2DConditionModel path as PR 6980 and extends it to another affected model file, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 6983 is the best overall representative because it is the broader, later version of the same concrete bug fix and touches the full set of affected 2D code paths.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6873", + "right": "pull_request:6980", + "accept": false, + "reason": "Different code path and model family: 6873 is about UNet3DConditionModel attention naming, while 6980 fixes the 2D condition/controlnet naming issue." + }, + { + "left": "pull_request:6873", + "right": "pull_request:6983", + "accept": false, + "reason": "6873 targets the 3D UNet naming change, whereas 6983 targets the 2D UNet/ControlNet naming bug; these are related in theme but not the same fix." + }, + { + "left": "pull_request:6980", + "right": "pull_request:6983", + "accept": true, + "reason": "Both PRs fix the same concrete 2D attention-head parameter naming bug in the same core code paths; 6983 is effectively a superset/extension of 6980 and could 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": 232, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are both small metadata/housekeeping PRs, but they fix different things: one updates the license year across docs, the other changes the package author email in setup.py. They should not be treated as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 7981 is the narrower, more concrete change and is a better representative of this cluster than the broad documentation/license-year sweep in 6902.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6902", + "right": "pull_request:7981", + "accept": false, + "reason": "Different underlying changes: 6902 updates license/copyright text in documentation files, while 7981 edits setup.py author_email. They do not fix the same code-path or merge into one PR cleanly." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 three pull requests are not duplicates of one another: one is a broad SD conversion cleanup, one fixes a logger typo in single-file loading, and one fixes FreeNoise behavior for AnimateDiff V3. The shared filename between the first two is not enough to indicate the same underlying bug, so both soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8183 is the clearest narrow bug fix in the set: it addresses a specific logger attribute typo in one code path and even links an explicit issue, whereas the other PRs are broader or about different subsystems.", + "best_issue_reason": null, + "best_pr_reason": "PR #8183 is the best representative PR if one must be chosen: it is the most self-contained, concrete fix and is least likely to overlap with unrelated changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6933", + "right": "pull_request:8183", + "accept": false, + "reason": "Both touch single_file_utils, but #6933 is a broader conversion-script cleanup while #8183 fixes a specific logger.warning typo; they do not appear to fix the same bug." + }, + { + "left": "pull_request:8183", + "right": "pull_request:9288", + "accept": false, + "reason": "These target different problems and code paths: logger handling in single_file_utils vs FreeNoise support for AnimateDiff V3 in free_noise_utils." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two unrelated ControlNet training-script PRs: one fixes validation image logging/output labels, the other changes dataset/train_data_dir argument handling. They overlap in filenames but not in the underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7067 is the better representative because it is merged and implements a concrete argument-handling fix across training scripts, whereas #7025 is an unmerged logging-only update.", + "best_issue_reason": null, + "best_pr_reason": "PR #7067 is the strongest cluster representative: it is merged, touches the main training path in a substantive way, and is more likely to reflect the final resolved change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7025", + "right": "pull_request:7067", + "accept": false, + "reason": "Reject: #7025 changes validation image logging labels/indexing; #7067 changes dataset/train_data_dir validation and dataset loading. Same subsystem, but different code paths and 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": 235, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two PRs are a near-exact duplicate pair for the same file (`regional_prompting_stable_diffusion.py`), while the other PRs are separate refactors for different example pipelines and should not be merged just because they share issue 6984.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "`pull_request:8376` is the best canonical PR for the duplicate pair: it is the non-draft, actively reviewed version of the same `regional_prompting_stable_diffusion.py` refactor and is essentially identical to 8387.", + "best_issue_reason": null, + "best_pr_reason": "`pull_request:8376` is the strongest representative overall because it is the exact duplicate target of 8387 and has the more complete, non-draft PR state. The other PRs are separate code changes in different example files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7071", + "right": "pull_request:8376", + "accept": false, + "reason": "Both target issue 6984, but they refactor different example pipelines (`stable_diffusion_reference.py` vs `regional_prompting_stable_diffusion.py`) and are not the same concrete change." + }, + { + "left": "pull_request:7071", + "right": "pull_request:8387", + "accept": false, + "reason": "Same shared issue target only; different file and different example pipeline, so this is not a single mergeable change." + }, + { + "left": "pull_request:7071", + "right": "pull_request:7211", + "accept": false, + "reason": "These are separate refactors for different community examples, not one underlying bug fix or change." + }, + { + "left": "pull_request:8376", + "right": "pull_request:8387", + "accept": true, + "reason": "Near-identical diffs in the same file, same change intent, same issue target; 8387 is effectively a draft/repost of 8376." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8387", + "accept": false, + "reason": "They only share issue 6984; the PRs touch different example pipelines and should not be collapsed together." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8376", + "accept": false, + "reason": "Different files and different pipeline refactors; shared issue target 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": 236, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "This is a small cluster of PRs that all tweak GitHub issue/PR templates. The first two are close enough to treat as the same template-maintenance change, but the last one is a separate follow-on edit.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8687 is the best representative: it makes substantive updates to the same template files and sits between the earlier and later template edits, so it most cleanly captures the shared template-maintenance line.", + "best_issue_reason": null, + "best_pr_reason": "PR 8687 is the strongest single PR to keep: it is broader than 7092 and more central than 8867, while still clearly in the same template-edit sequence.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7092", + "right": "pull_request:8687", + "accept": true, + "reason": "Both PRs edit the same issue/PR template files with the same general goal of updating template contact assignments and prompts, so they look like the same underlying template-maintenance change and could plausibly be merged." + }, + { + "left": "pull_request:8687", + "right": "pull_request:8867", + "accept": false, + "reason": "They share filenames, but the actual edits are different follow-on template tweaks (SD3/improving quality vs. TTV/PEFT contact updates). Shared template files alone 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": 237, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both items modify the same documentation workflow files, but they address different problems: one limits when docs workflows run, the other changes the container used by those workflows. They are not duplicates and should not be merged.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8266 is the better representative of the cluster because it makes the more central workflow infrastructure change, updating the docs jobs to use a custom container in both documentation workflows.", + "best_issue_reason": null, + "best_pr_reason": "PR 8266 is the strongest standalone PR here because it directly updates the execution environment for the documentation workflows and is a coherent, self-contained change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7125", + "right": "pull_request:8266", + "accept": false, + "reason": "Different underlying changes: 7125 adds path filters to avoid unnecessary doc workflow runs, while 8266 configures a custom container for docs builds. They touch the same files but fix unrelated workflow behaviors." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two pull requests are unrelated: PR #7144 adds NPU support in core diffusers utilities, while PR #9010 updates the SDXL textual inversion example and README to support the second text encoder. They do not fix the same bug or implement the same change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the cluster contains two unrelated changes in different areas of the codebase (NPU support vs. SDXL textual inversion example updates).", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a good global canonical representative because there is no duplicate relationship here; if one must be chosen, #9010 is the more self-contained user-facing example change, but it does not represent the cluster as a whole.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7144", + "right": "pull_request:9010", + "accept": false, + "reason": "Different changes and code paths: #7144 adds NPU support wiring in core utilities, while #9010 modifies textual inversion SDXL example docs/code to support the second text encoder. They are not mergeable as one PR and do not address 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": 239, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs touch the same workflow file but make opposite CI concurrency changes: one removes `max-parallel`, the other adds `max-parallel: 8`. They are related historically, but not the same underlying change.", + "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:7162", + "right": "pull_request:7878", + "accept": false, + "reason": "Reject: these PRs change the same workflow setting in opposite directions and do not look like the same concrete fix; 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": 240, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are related only at a broad LoRA-scaling level, but they address different problems: PR #7352 adds blockwise adapter strength control, while PR #7875 fixes a specific missing-weight fallback for some LoRA modules. Not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7352 is the broader, feature-level change and the more central representative of the cluster; PR #7875 is a narrower bugfix in the same utility code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #7352 best represents the cluster because it introduces the main blockwise-LoRA capability, while #7875 is a separate targeted fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7352", + "right": "pull_request:7875", + "accept": false, + "reason": "They share LoRA scaling code, but #7352 implements blockwise adapter strength control and #7875 fixes a separate fallback for missing module weights; not the same underlying change or 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": 241, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs are about the same AuraFlow cleanup removing a stray `i` argument; the broader linear/conv refactor PR is unrelated and should not cluster with them.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8980 is the clearest representative of the AuraFlow `i` cleanup: it removes the argument from the transformer forward and the attention call, matching the underlying code-path fix.", + "best_issue_reason": null, + "best_pr_reason": "#8980 is the most complete and specific AuraFlow fix in the cluster, so it best represents the shared change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7553", + "right": "pull_request:8980", + "accept": false, + "reason": "#7553 is a broad refactor removing class assignments for linear/conv across many model files; it does not target the AuraFlow stray-`i` bug or the same code path." + }, + { + "left": "pull_request:8949", + "right": "pull_request:8980", + "accept": true, + "reason": "Both PRs address the same AuraFlow stray-`i` cleanup and could plausibly be merged together as one fix to remove the unused argument from the shared call chain." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both PRs are about callback support in Diffusers, but they are not the same concrete change: #7739 introduces the callback framework/proposal, while #7761 adds official callback implementations and docs across many pipelines. Treat #7761 as the stronger canonical PR; do not dedupe the pair.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7761 is the merged, broader implementation of the callbacks feature, with official callback classes/docs and multi-pipeline integration.", + "best_issue_reason": null, + "best_pr_reason": "PR #7761 is the best representative because it is merged, more complete, and directly ships the feature rather than only proposing the callback infrastructure.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7739", + "right": "pull_request:7761", + "accept": false, + "reason": "Related feature area, but not the same underlying change: #7739 adds generic callback infrastructure, while #7761 implements official callbacks and documentation across multiple pipelines. They could coexist as sequential work, not a 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": 243, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Two merged PRs that both tweak test-fetcher workflow dependencies, but they target different workflow files and make different install changes; they are related, not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9033 is the better representative because it is the more general pipeline test fetcher dependency update and is less tied to the specific venv/uv workflow rewrite in #7838.", + "best_issue_reason": null, + "best_pr_reason": "PR #9033 is the cleaner cluster representative: same subsystem and broader title, but still a distinct change from #7838 rather than the same fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7838", + "right": "pull_request:9033", + "accept": false, + "reason": "Different workflows (.github/workflows/push_tests.yml vs .github/workflows/nightly_tests.yml) and different dependency/install adjustments; they touch the same area but do not look like the same concrete bug fix or mergeable single 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": 244, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 merged PRs both update GitHub Actions runner labels, but they target different workflows and hardware classes: one switches PR test fetching to new CPU runners, the other switches nightly/push GPU workflows to new GPU runners. They are related by theme, not the same change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7840 is the better canonical example for this cluster because it is the broader runner migration across multiple GPU workflows, making it more representative than the smaller CPU-only workflow update in #7839.", + "best_issue_reason": null, + "best_pr_reason": "PR #7840 is the strongest representative PR in the set: it touches multiple workflow files and updates the GPU runner configuration in a cohesive way, whereas #7839 is a narrower CPU runner-only workflow change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7839", + "right": "pull_request:7840", + "accept": false, + "reason": "These are not the same underlying change. #7839 updates CPU runners for pr_test_fetcher, while #7840 updates GPU runners for nightly/push workflows. They affect different code paths 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": 245, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two PRs both touch SDXL training, but they address different changes: one is a broad Ascend NPU support effort, the other is a specific deepspeed bug fix in the SDXL example. I would not cluster them as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7917 is the more concrete, narrowly scoped change: it fixes specific deepspeed-related bugs in the SDXL training script with a small targeted patch. PR 7915 is a broader hardware-support PR with a different goal and is not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 7917 is the best representative for this cluster because it has a clear code-path fix and an actual diff; PR 7915 is broader and less clearly aligned to the same bug/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7915", + "right": "pull_request:7917", + "accept": false, + "reason": "Different underlying changes: 7915 is about Ascend NPU support for SDXL, while 7917 is a targeted deepspeed bug fix in the SDXL training script. Same area, but not the same concrete fix and not something that would 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": 246, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two PRs are not duplicates: one removes Stable Cascade UNet tests, the other updates CogVideoX single-file docs and tests. They touch different artifacts and different change intents.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 7996 and PR 9444 address unrelated changes in different parts of the repo.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong cluster representative for duplication purposes because they do not share the same underlying bug or change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7996", + "right": "pull_request:9444", + "accept": false, + "reason": "Different code paths and purposes: 7996 deletes Stable Cascade UNet tests, while 9444 edits CogVideoX docs/tests. They are 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": 247, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These two PRs are related to HunyuanDiT, but they are not the same change: one is documentation for the model/pipeline, the other adds checkpoint conversion scripts and a ControlNet model implementation. They should not be deduplicated.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8783 is the stronger representative because it introduces the substantive code-path change (conversion scripts and ControlNet/model updates), while #8383 is docs-only.", + "best_issue_reason": null, + "best_pr_reason": "PR #8783 is the best cluster representative since it affects implementation and model conversion behavior rather than only documentation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8383", + "right": "pull_request:8783", + "accept": false, + "reason": "Different artifact types and different scopes: #8383 adds docs pages/nav for HunyuanDiT, while #8783 adds conversion scripts and ControlNet/model code. Related topic, 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": 248, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are not duplicates: PR #8517 adds SD3 single-file support and related code/docs, while PR #8602 is a small documentation wording fix about loading SD3 with T5.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8517 is the substantive change in the cluster, adding the SD3 single-file support code path and associated docs; #8602 is only a narrow docs correction.", + "best_issue_reason": null, + "best_pr_reason": "PR #8517 is the best representative of the cluster because it contains the actual feature implementation rather than a follow-up wording tweak.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8517", + "right": "pull_request:8602", + "accept": false, + "reason": "Different underlying changes: #8517 expands single-file support in code and docs, while #8602 only renames a section title from 'without T5' to 'with T5'. They do not fix the same concrete code-path problem 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": 249, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 heterogeneous: one Stable Diffusion 3 shape fix, one attention-state bug fix, and two Flux ControlNet-related PRs that still address different concrete behaviors. None look like true duplicates of each other.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR cleanly represents the cluster; if forced, PR 9406 is the most concrete bug fix, but the rest are unrelated or only loosely adjacent.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8558", + "right": "pull_request:8610", + "accept": false, + "reason": "Different subsystems and bugs: SD3 prompt-embed shape handling vs attention processor state being wrong across runs." + }, + { + "left": "pull_request:9406", + "right": "pull_request:9550", + "accept": false, + "reason": "Both touch Flux ControlNet, but one fixes `control_mode` batch expansion while the other adds image-dimension validation; different code paths and not mergeable as one duplicate change." + }, + { + "left": "pull_request:8558", + "right": "pull_request:9406", + "accept": false, + "reason": "Unrelated pipelines and failure modes: SD3 `text_encoder_3=None` shape mismatch vs Flux ControlNet `control_mode` batch-size 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": 250, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 fix the same kind of SD3 checkpointing return-value unpacking mistake, but they apply it in different code paths: SD3 transformer blocks vs SD3 ControlNet training. They are related patterns, not the same mergeable change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9498 is the better canonical PR because it is merged and directly addresses the concrete ControlNet training path with the checkpointing fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #9498 is the best representative of the cluster since it is merged and clearly documents the SD3 gradient-checkpointing bug in an active training path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8568", + "right": "pull_request:9498", + "accept": false, + "reason": "Reject: both fix a similar checkpointing unpack bug, but in different modules/code paths (transformer_sd3 vs controlnet_sd3). They are related variants, not the same underlying change 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": 251, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three are separate Korean documentation PRs that add or revise anchors and wording on different conceptual pages. They share a similar \u201creflect few contributions\u201d pattern and the same upstream tracking issue reference, but 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 #8938 is the best representative because it is the most substantial of the three, has by far the most review activity, and updates the contribution guide rather than a smaller single-page edit.", + "best_issue_reason": null, + "best_pr_reason": "PR #8938 is the strongest standalone PR in the cluster: it has the broadest scope among these translations, the highest review activity, and is the clearest candidate to anchor the group if one must be chosen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8690", + "right": "pull_request:8914", + "accept": false, + "reason": "Both are Korean doc updates, but they edit different files (`philosophy.md` vs `ethical_guidelines.md`) with different content and anchors; this is similar maintenance, not the same fix." + }, + { + "left": "pull_request:8690", + "right": "pull_request:8938", + "accept": false, + "reason": "These touch different conceptual pages (`philosophy.md` vs `contribution.md`) and make page-specific wording/anchor changes, so they are not the same underlying change." + }, + { + "left": "pull_request:8914", + "right": "pull_request:8938", + "accept": false, + "reason": "Although both are translation/documentation cleanup, they modify different docs and different sections; the shared tracking issue 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": 252, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These PRs are both documentation updates, but they cover different features and user workflows: PR 8701 adds PAG `from_pipe` usage docs, while PR 8735 adds SDXL refiner tips for HunyuanDiT/PixArt and related examples.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR in this cluster; the two PRs do not describe the same change or bug fix.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong global representative for the cluster because they are unrelated docs changes. If forced, PR 8735 is slightly broader in scope, but it is not a duplicate of PR 8701.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8701", + "right": "pull_request:8735", + "accept": false, + "reason": "Different documentation topics and code paths: PAG `enable_pag` via `from_pipe` versus SDXL refiner guidance for HunyuanDiT/PixArt. 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": 253, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 both LoRA-related, but they target different models and codepaths: #8762 adds an SD3 DreamBooth LoRA Colab/research example, while #9943 implements LoRA support for Mochi-1 in the core library. They are not duplicates and should not be merged together.", + "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:8762", + "right": "pull_request:9943", + "accept": false, + "reason": "Different underlying changes: SD3 Colab training example vs. Mochi-1 LoRA framework support. They touch different models, files, and codepaths, so 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": 254, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 appear to be the same Lumina feature branch/theme, with identical titles and overlapping Lumina model/test files. PR #8814 is the broader, more complete implementation; PR #8815 looks like a narrower follow-up touching the same model path. No issue artifacts are present.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8814 is the better canonical PR because it includes the full Lumina integration surface (docs, pipeline, scheduler, exports, and model files), making it the most complete representation of the change.", + "best_issue_reason": null, + "best_pr_reason": "PR #8814 is the best representative of the cluster: it is the more comprehensive, end-to-end change and is less likely to be an incomplete slice of the feature than #8815.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8814", + "right": "pull_request:8815", + "accept": true, + "reason": "Same title, same Lumina code area, and overlapping model/test files indicate the same underlying feature work; the narrower PR #8815 looks like a subset/follow-up to the broader Lumina implementation in #8814." + } + ] + }, + "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": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "All three items are sequential pull requests touching the same workflow, but they are not duplicates of the same concrete change. PR 8884 introduces the SSH runner workflow, PR 8888 removes an unnecessary GPU option for the CPU runner, and PR 8893 removes the NVIDIA-SMI step. They look like follow-up refinements rather than the same PR.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8884 is the best canonical PR because it is the original, most complete implementation of the SSH runner workflow and the later PRs are smaller follow-up adjustments to it.", + "best_issue_reason": null, + "best_pr_reason": "PR 8884 is the strongest representative of the cluster: it introduces the feature itself, whereas 8888 and 8893 are incremental fixes/cleanup to that workflow.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8884", + "right": "pull_request:8893", + "accept": false, + "reason": "Related workflow changes, but not the same concrete fix. 8884 adds the SSH runner workflow; 8893 only removes the NVIDIA-SMI step as a follow-up adjustment." + }, + { + "left": "pull_request:8888", + "right": "pull_request:8893", + "accept": false, + "reason": "Both modify the same workflow file, but they address different details: 8888 drops the GPU container option, while 8893 removes a diagnostic step. These are incremental edits, not duplicate 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": 256, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs patch the same tutorial snippet for gradient accumulation in `basic_training.md` and target the same issue, with 8966 refining the earlier approach into the final idiomatic `accelerator.sync_gradients` version.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8966 is the better canonical PR because it is the later, more correct revision of the same documentation fix and matches the final merged snippet more closely.", + "best_issue_reason": null, + "best_pr_reason": "PR #8966 is the best representative of the cluster: same issue, same file, same underlying documentation bug, but with the cleaner final implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8961", + "right": "pull_request:8966", + "accept": true, + "reason": "Same tutorial code path and same issue target; 8966 is a direct refinement of 8961 rather than a different change, so they are duplicates at the PR level." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs touch the same file, link to the same issue target (8960), and the diffs show 8966 refining the gradient-accumulation snippet introduced by 8961. The soft-edge verdict is conservative enough here because the later PR is a direct revision of the same doc fix rather than a separate bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 257, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 are related test-enablement PRs in the Flux area, but they are not the same change: 9050 is a Flux-specific test/run fix, while 9845 is a broader big-GPU LoRA/integration-test marker cleanup that happens to touch one shared Flux test file.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9845 is the broader and more representative test-infrastructure change, spanning multiple suites and fixing the big-GPU gating/teardown path rather than just Flux-specific behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR 9845 is the best cluster representative because it addresses the shared test execution setup across several affected tests; 9050 is narrower and not the same concrete change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9050", + "right": "pull_request:9845", + "accept": false, + "reason": "Do not merge: 9050 enables Flux tests to run by changing Flux model/pipeline test code, while 9845 updates big-GPU LoRA integration test markers and cleanup across multiple suites. They overlap on one file but fix different test-run issues and would not plausibly 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": 258, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 related conversion-script PRs, but not the same underlying change: one adds an LDM converter, the other adds DDPM conversion plus shared utilities/tests. The overlap is too shallow to treat them as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 94 is the better canonical PR for the cluster because it is the broader, more complete change set: it adds the DDPM converter, also carries the LDM converter, and includes a test update.", + "best_issue_reason": null, + "best_pr_reason": "PR 94 is the strongest representative because it covers the larger conversion feature and adds test coverage, while PR 92 is a narrower single-script addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:92", + "right": "pull_request:94", + "accept": false, + "reason": "They are related conversion-script PRs, but PR 94 is not just a variant of PR 92: it introduces a separate DDPM converter and test changes, so they are not the same concrete code-path 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": 259, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "These are two distinct CogVideoX feature PRs that overlap only in shared package/docs wiring. PR #9333 adds Video-to-Video support; PR #9671 adds CogVideoX-Fun pose/control generation. They are not the same underlying change and should not be clustered as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9333 is the more canonical representative because it introduces the core CogVideoX video-to-video pipeline support and shared plumbing, which is broader and more foundational than the pose-control add-on in #9671.", + "best_issue_reason": null, + "best_pr_reason": "PR #9333 is the best single representative for the cluster since it is the earlier, more general CogVideoX pipeline expansion; #9671 is a separate feature on a different concrete code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9333", + "right": "pull_request:9671", + "accept": false, + "reason": "Reject: they implement different features and code paths. #9333 adds CogVideoX video-to-video support, while #9671 adds CogVideoX-Fun pose controllable generation. Shared docs/init changes and the same subsystem are not enough to treat them 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": 260, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 two separate feature PRs in the same scheduler file: one adds exponential sigmas, the other adds beta sigmas. They are related but not 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:9499", + "right": "pull_request:9509", + "accept": false, + "reason": "Different concrete changes: exponential noise schedule vs beta noise schedule. Same subsystem/file, but not 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": 261, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The two PRs are highly similar in structure and touch many of the same scheduler files, but they implement different features: one adds exponential sigmas and the other adds beta sigmas. They are related, not duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate here. If a representative PR is needed, #9538 is the cleaner canonical because it is a single-feature follow-up that mirrors the same scheduler/docs pattern, but it remains distinct from #9518.", + "best_issue_reason": null, + "best_pr_reason": "#9538 is the better representative of the cluster because it is a focused enhancement PR with the same code shape as #9518, but it still addresses a different sigma type and should not absorb the other.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9518", + "right": "pull_request:9538", + "accept": false, + "reason": "Reject: despite heavy overlap in touched files and docs, these PRs add different scheduler options (exponential vs beta sigmas). They are related changes in the same subsystem, 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": 262, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "The three PRs appear to cover the same PEFT compatibility guard in the same loader files. 9854 and 9855 are clearly identical; 9564 looks like the same change as well, but the evidence supports a likely match rather than a deterministic exact duplicate.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9564 is the best canonical PR because it is the earliest submission and has the most descriptive title, while the other two are fork-sync style reposts of the same loader change.", + "best_issue_reason": null, + "best_pr_reason": "PR 9564 is the strongest representative of the cluster since it is earliest and most clearly labeled, with the same change content as the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9564", + "right": "pull_request:9854", + "accept": true, + "reason": "Very likely the same change: matching diff preview, same touched files, and the same PEFT version guard in the same code path." + }, + { + "left": "pull_request:9564", + "right": "pull_request:9855", + "accept": true, + "reason": "Very likely the same change: matching diff preview and filenames indicate the same loader fix, though the evidence is soft rather than deterministic." + }, + { + "left": "pull_request:9854", + "right": "pull_request:9855", + "accept": true, + "reason": "These appear to be identical PR contents with matching diffs and filenames, so they can reasonably be treated as the same change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is plausible, but the soft-edge verdicts are too strong for the evidence shown. For 9564 vs 9854 and 9564 vs 9855, the packet only provides soft_similarity plus matching diff previews/filenames, not a deterministic exact-match signal, so calling them \"exact same patch\" / \"direct duplicates\" overstates confidence. The 9854 vs 9855 pair is fine to accept, but the other two should be phrased more conservatively as likely the same change rather than confirmed duplicates." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 263, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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": "Both pull requests have the same title and very similar NPU-performance intent; the merged PR 9642 includes the concrete code changes in the same file, while 9631 appears to be an earlier/duplicate version.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9642 is the better canonical PR because it is the merged change and includes the actual implementation in examples/text_to_image/train_text_to_image_sdxl.py.", + "best_issue_reason": null, + "best_pr_reason": "PR 9642 is the best representative because it is merged, specific, and contains the concrete fix; PR 9631 looks like a duplicate/unmerged predecessor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9631", + "right": "pull_request:9642", + "accept": true, + "reason": "Same title and same NPU/performance change context; 9642 is the implemented/merged version of the same underlying change in the same 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": 264, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 small merged PRs apply the same pattern\u2014wrapping list/tuple ControlNet inputs in the appropriate MultiControlNetModel\u2014but they target different pipeline implementations and concrete code paths.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: these are parallel fixes in different pipelines, not the same change to one code path.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a better duplicate representative of the other; each is the best match for its own pipeline-specific fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9651", + "right": "pull_request:9652", + "accept": false, + "reason": "Same broad pattern, but different pipeline files, model classes, and execution paths; they do not look like one underlying bug that could be merged into a single 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": 265, + "component_count": 265, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "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 PRs target the same DreamBooth SDXL LoRA config bug in the same file and same code path; PR 9879 appears to be the merged, more complete version of the same fix.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9879 is merged and addresses the same TypeError path with an added compatibility guard for DoRA/peft, making it the stronger canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 9879 is the best representative because it is merged, fixes the same underlying LoRA config construction bug, and includes the extra version check needed for DoRA support.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9842", + "right": "pull_request:9879", + "accept": true, + "reason": "Same file, same explicit issue target, same LoRA config TypeError in DreamBooth SDXL; 9879 looks like a superseding refinement of 9842 rather than a different change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs touch the same file, share the same issue target, and modify the same LoRA config construction path. It is also supported that 9879 is merged and adds an additional peft version guard on top of the base fix. The soft-edge pairing is conservative enough here, since the two changes look like closely related revisions that could be merged into one PR for the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + } + ] +} diff --git a/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/manifest.json b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2afc55b0f5d927f85230bdfa8a802e49d7a66c8f --- /dev/null +++ b/snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/manifest.json @@ -0,0 +1,14 @@ +{ + "analysis_id": "hybrid-model-20260421t173535z", + "artifacts": { + "hybrid": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "model": null, + "published_at": "2026-04-21T18:55:28Z", + "repo": "huggingface/diffusers", + "schema_version": 1, + "snapshot_id": "20260421T173535Z", + "variant": "hybrid" +} diff --git a/snapshots/20260421T173535Z/manifest.json b/snapshots/20260421T173535Z/manifest.json index ad26637f53b566c3495515e84b0f2a82621ebaac..6e97af50f7c967933aeae26ff75252444c096b1e 100644 --- a/snapshots/20260421T173535Z/manifest.json +++ b/snapshots/20260421T173535Z/manifest.json @@ -30,6 +30,24 @@ "timeline_events": 20 }, "extracted_at": "2026-04-21T17:35:35Z", + "published_analysis": { + "canonical_analysis_id": "hybrid-model-20260421t173535z", + "runs": { + "hybrid-model-20260421t173535z": { + "analysis_id": "hybrid-model-20260421t173535z", + "artifacts": { + "hybrid": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "manifest_path": "snapshots/20260421T173535Z/analysis-runs/hybrid-model-20260421t173535z/manifest.json", + "model": null, + "published_at": "2026-04-21T18:55:28Z", + "variant": "hybrid" + } + }, + "schema_version": 1 + }, "repo": "huggingface/diffusers", "snapshot_id": "20260421T173535Z", "watermark": {