diff --git "a/data/prs.json" "b/data/prs.json"
new file mode 100644--- /dev/null
+++ "b/data/prs.json"
@@ -0,0 +1,6406 @@
+[
+  {
+    "additions": 1218,
+    "author": "HsiaWinter",
+    "author_association": "FIRST_TIMER",
+    "body_excerpt": "# What does this PR do? We have introduced a new text-to-image model called ERNIE-Image, which will soon be open-sourced to the community. This PR includes the model architecture definition, the pipeline, as well as the related documentati\u2026",
+    "changed_files": 13,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13432",
+    "created_at": "2026-04-08T04:14:03Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13432/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13432",
+    "labels": [
+      "documentation",
+      "models",
+      "tests",
+      "size/L",
+      "utils",
+      "pipelines"
+    ],
+    "merged": false,
+    "number": 13432,
+    "review_comments_count": 8,
+    "state": "open",
+    "title": "Add ernie image",
+    "updated_at": "2026-04-08T04:14:21Z"
+  },
+  {
+    "additions": 2,
+    "author": "huemin-art",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Adds an optional `decoder_block_out_channels` parameter to `AutoencoderKLFlux2` so the decoder can use different channel widths than the encoder. This is needed to support the FLUX.2 small decoder VAE (`black-forest\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13428",
+    "created_at": "2026-04-06T23:48:03Z",
+    "deletions": 1,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13428/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13428",
+    "labels": [],
+    "merged": true,
+    "number": 13428,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "FLUX.2 small decoder",
+    "updated_at": "2026-04-07T01:59:40Z"
+  },
+  {
+    "additions": 18,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Fixes the use of `record_stream` with `torchao` and `group offload`. Without this, the resulting image is wrong. |Without this PR|With this PR| |---|---| |<img width=\"1024\" height=\"1024\" alt=\"flux_benchmark_dynamic_\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13427",
+    "created_at": "2026-04-06T17:37:24Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13427/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13427",
+    "labels": [],
+    "merged": false,
+    "number": 13427,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[torchao] Fix `record_stream` with torchao and group offloading",
+    "updated_at": "2026-04-06T17:59:53Z"
+  },
+  {
+    "additions": 6,
+    "author": "Akash504-ai",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR fixes a numerical stability issue in `rescale_noise_cfg` that can lead to division by zero and produce NaN/inf values during inference. ## Problem The current implementation performs: noise_pred_rescaled = n\u2026",
+    "changed_files": 3,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13426",
+    "created_at": "2026-04-06T15:44:38Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13426/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13426",
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+    "merged": false,
+    "number": 13426,
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+    "state": "open",
+    "title": "Fix division by zero in rescale_noise_cfg causing NaNs during inference",
+    "updated_at": "2026-04-06T16:22:09Z"
+  },
+  {
+    "additions": 10,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Fixes https://github.com/huggingface/diffusers/actions/runs/24034864516/job/70092362359?pr=13417. Got missed in the earlier refactor.",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13424",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13424/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13424",
+    "labels": [],
+    "merged": true,
+    "number": 13424,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[tests] fix autoencoderdc tests",
+    "updated_at": "2026-04-06T19:08:03Z"
+  },
+  {
+    "additions": 2,
+    "author": "Xyc2016",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix `LoRA's` \u2192 `LoRAs` in two places (lines 104 and 106) - plural, not possessive - Fix `trigger it` \u2192 `trigger them` (pronoun agreement: \"Some LoRAs\" is plural) ## Changes **Line 104:** > Among adapters, [LoRA's] are the most\u2026",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13423",
+    "created_at": "2026-04-06T14:42:14Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13423/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13423",
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+    "merged": false,
+    "number": 13423,
+    "review_comments_count": 1,
+    "state": "open",
+    "title": "Fix grammar in LoRA documentation",
+    "updated_at": "2026-04-06T15:11:47Z"
+  },
+  {
+    "additions": 16,
+    "author": "akshan-main",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes #13421 Adds `negative_prompt` parameter to `GLMImagePipeline.__call__()` and `encode_prompt()`. Previously, the unconditional prompt was hardcoded to `\"\"` when CFG was active, with no way for users to provide\u2026",
+    "changed_files": 1,
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+    "cluster_ids": [],
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13422",
+    "created_at": "2026-04-06T14:23:33Z",
+    "deletions": 4,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13422/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13422",
+    "labels": [],
+    "merged": false,
+    "number": 13422,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Add negative_prompt parameter to GLMImagePipeline",
+    "updated_at": "2026-04-06T23:58:06Z"
+  },
+  {
+    "additions": 15,
+    "author": "akshan-main",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes #13416 Adds `negative_prompt` parameter to `Flux2KleinPipeline.__call__()`. Previously, the unconditional prompt was hardcoded to `\"\"` when CFG was active, with no way for users to provide a custom negative p\u2026",
+    "changed_files": 1,
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+    "cluster_ids": [],
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13420",
+    "created_at": "2026-04-06T14:12:33Z",
+    "deletions": 5,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13420/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13420",
+    "labels": [],
+    "merged": false,
+    "number": 13420,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Add negative_prompt to Flux2KleinPipeline",
+    "updated_at": "2026-04-06T23:58:45Z"
+  },
+  {
+    "additions": 14,
+    "author": "azolotenkov",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Fixes a device mismatch in the Flux2 DreamBooth training scripts when `--offload` is used and latents are not precomputed. non-cached path: `pixel_values` were converted to `vae.dtype` but not moved onto `accelerato\u2026",
+    "changed_files": 5,
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+    "cluster_ids": [],
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13417",
+    "created_at": "2026-04-05T20:31:33Z",
+    "deletions": 16,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13417/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13417",
+    "labels": [],
+    "merged": true,
+    "number": 13417,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Fix VAE offload encode device mismatch in DreamBooth scripts",
+    "updated_at": "2026-04-06T14:53:07Z"
+  },
+  {
+    "additions": 16,
+    "author": "azolotenkov",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Fixes a prior-preservation batch size mismatch in the `Flux2 DreamBooth LoRA` scripts. When custom instance prompts are not used, `prompt_embeds` already contains concatenated instance + class embeddings under `--wi\u2026",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13415",
+    "created_at": "2026-04-04T18:08:44Z",
+    "deletions": 8,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13415/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13415",
+    "labels": [],
+    "merged": false,
+    "number": 13415,
+    "review_comments_count": 3,
+    "state": "open",
+    "title": "Fix Flux2 DreamBooth prior preservation prompt repeats",
+    "updated_at": "2026-04-05T12:01:01Z"
+  },
+  {
+    "additions": 11,
+    "author": "Ricardo-M-L",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix article: `a inpainting` \u2192 `an inpainting` in auto_pipeline.py - Fix article: `a aesthetic_score` \u2192 `an aesthetic_score` in SDXL pipelines - Fix docstring: remove extraneous `pass a` in quantizers/base.py - Fix grammar: `al\u2026",
+    "changed_files": 6,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13414",
+    "created_at": "2026-04-04T17:07:02Z",
+    "deletions": 11,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13414/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13414",
+    "labels": [],
+    "merged": false,
+    "number": 13414,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: correct grammar in docstrings and error messages",
+    "updated_at": "2026-04-04T17:07:02Z"
+  },
+  {
+    "additions": 35,
+    "author": "Ricardo-M-L",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix `it's` \u2192 `its` (possessive form) in ~35 instances across ~32 model files - The phrase \"Check the superclass documentation for it's generic methods\" should use \"its\" (possessive), not \"it's\" (contraction of \"it is\") - Also\u2026",
+    "changed_files": 32,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13413",
+    "created_at": "2026-04-04T17:05:39Z",
+    "deletions": 35,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13413/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13413",
+    "labels": [],
+    "merged": false,
+    "number": 13413,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: correct possessive 'it's' to 'its' in model docstrings",
+    "updated_at": "2026-04-04T17:05:39Z"
+  },
+  {
+    "additions": 307,
+    "author": "VittoriaLanzo",
+    "author_association": "NONE",
+    "body_excerpt": "## What does this PR do? Fixes #13411. `LTXEulerAncestralRFScheduler.set_timesteps(sigmas=...)` silently accepted non-monotone sigma schedules. In `step()`, a reversed schedule computes: ``` downstep_ratio = 1 + (sigma_next / sigma - 1) *\u2026",
+    "changed_files": 4,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 3,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13412",
+    "created_at": "2026-04-04T15:49:39Z",
+    "deletions": 11,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13412/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13412",
+    "labels": [],
+    "merged": false,
+    "number": 13412,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[Scheduler] Add monotonicity validation and tests for LTXEulerAncestr\u2026",
+    "updated_at": "2026-04-06T22:54:31Z"
+  },
+  {
+    "additions": 40,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
+    "body_excerpt": "follow https://github.com/huggingface/diffusers/pull/13334 moved `model-integrawtion/skillls/modular-conversion.md` to `.ai/modular.md`, and link it from `AGENTS.md`, `model-integrawtion/skillls` and `review-rules.md ` added a Gotcha secti\u2026",
+    "changed_files": 4,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13410",
+    "created_at": "2026-04-04T08:37:28Z",
+    "deletions": 14,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13410/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13410",
+    "labels": [],
+    "merged": false,
+    "number": 13410,
+    "review_comments_count": 1,
+    "state": "open",
+    "title": "[agent] add modular doc",
+    "updated_at": "2026-04-06T16:26:42Z"
+  },
+  {
+    "additions": 32,
+    "author": "awsr",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Fixes `NameError: name 'ftfy' is not defined` This was encountered by one of our users on SDNext. I'm not entirely sure why `ftfy` didn't get installed, but if it's optionally imported then it should also be optiona\u2026",
+    "changed_files": 16,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13409",
+    "created_at": "2026-04-04T02:02:23Z",
+    "deletions": 16,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13409/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13409",
+    "labels": [],
+    "merged": false,
+    "number": 13409,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "Guard against calling optional `ftfy` module if not available",
+    "updated_at": "2026-04-07T01:53:00Z"
+  },
+  {
+    "additions": 7,
+    "author": "Ricardo-M-L",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix duplicate words: `schedule schedule` \u2192 `schedule`, `obtain obtain` \u2192 `obtain` - Fix article usage: `a image` \u2192 `an image` (2 instances), `a image-text` \u2192 `an image-text` (2 instances), `a upsampling` \u2192 `an upsampling` ## T\u2026",
+    "changed_files": 6,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13408",
+    "created_at": "2026-04-03T23:40:41Z",
+    "deletions": 7,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13408/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13408",
+    "labels": [],
+    "merged": false,
+    "number": 13408,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: remove duplicate words and fix grammar in docstrings and error messages",
+    "updated_at": "2026-04-03T23:40:41Z"
+  },
+  {
+    "additions": 54,
+    "author": "Ricardo-M-L",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Add missing `f` prefix to ~50 string literals where variables like `{self.__class__}`, `{self.config}`, `{unet.config.*}`, `{type(...)}` are printed as literal text instead of being interpolated. ### Categories fixed: - Safety c\u2026",
+    "changed_files": 49,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13407",
+    "created_at": "2026-04-03T23:40:27Z",
+    "deletions": 54,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13407/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13407",
+    "labels": [],
+    "merged": false,
+    "number": 13407,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: add missing f-string prefixes across pipelines and schedulers",
+    "updated_at": "2026-04-03T23:40:27Z"
+  },
+  {
+    "additions": 23,
+    "author": "akshan-main",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Part of #13401 `QwenEmbedRope.forward()` copies `pos_freqs` and `neg_freqs` from CPU to GPU via `.to(device)` on every transformer forward call. These tensors are fixed at init and never change, so the repeated tra\u2026",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13406",
+    "created_at": "2026-04-03T21:17:17Z",
+    "deletions": 10,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13406/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13406",
+    "labels": [],
+    "merged": false,
+    "number": 13406,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "Cache RoPE freqs on device to avoid repeated CPU-GPU copy in QwenImage",
+    "updated_at": "2026-04-08T05:39:31Z"
+  },
+  {
+    "additions": 23,
+    "author": "andrewor14",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "**Summary:** TorchAO recently deprecated AffineQuantizedTensor and related classes (https://github.com/pytorch/ao/issues/2752). These will be removed in the next release. We should remove references of these classes in diffusers before the\u2026",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13405",
+    "created_at": "2026-04-03T20:31:12Z",
+    "deletions": 38,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13405/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13405",
+    "labels": [],
+    "merged": true,
+    "number": 13405,
+    "review_comments_count": 4,
+    "state": "closed",
+    "title": "Remove references to torchao's AffineQuantizedTensor",
+    "updated_at": "2026-04-06T18:41:26Z"
+  },
+  {
+    "additions": 152,
+    "author": "varaprasadtarunkumar",
+    "author_association": "NONE",
+    "body_excerpt": "## What does this PR do? Fixes a per-step `torch.tensor()` reconstruction in `QwenImageTransformer2DModel.forward()` that was identified as a known performance issue in the [profiling guide](https://github.com/huggingface/diffusers/tree/ma\u2026",
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+    "cluster_id": null,
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+    "body_excerpt": "## Summary - Fix 6 instances of `have have` \u2192 `have` in modular pipeline error messages - Fix `to to` \u2192 `to` in UNet docstring - Fix `be be` \u2192 `be` in Flux Kontext inpaint pipeline docstring ## Test plan - [ ] Verify error messages read co\u2026",
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+    "author": "chenyangzhu1",
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+    "body_excerpt": "# What does this PR do? I found that the same problem in https://github.com/huggingface/diffusers/issues/13292 also appears in Qwen-Image's dreambooth lora script. https://github.com/huggingface/diffusers/blob/8070f6ec54a7699d5ee285090d973\u2026",
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+    "updated_at": "2026-04-08T06:27:11Z"
+  },
+  {
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+    "author": "Akash504-ai",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR fixes a missing validation in `DDPMScheduler.set_timesteps`. Currently, passing `num_inference_steps=0` does not raise an error and can lead to invalid internal state or unexpected behavior. This behavior is\u2026",
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+  },
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+    "author": "GalacticAvenger",
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+    "body_excerpt": "## Summary Fixes several typos and grammar errors across the documentation: 1. **`controlling_generation.md`**: \"allows to generate\" \u2192 \"allows you to generate\" (missing object after \"allows\") 2. **`sdxl.md`**: \"it's refiner model\" \u2192 \"its r\u2026",
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+    "body_excerpt": "# What does this PR do? Adds [LongCat-AudioDiT](https://github.com/meituan-longcat/LongCat-AudioDiT) model support to diffusers. Although LongCat-AudioDiT can be used for TTS-like generation, it is fundamentally a diffusion-based audio gen\u2026",
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+  },
+  {
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+    "author": "akshan-main",
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+    "body_excerpt": "## What does this PR do? Adds modular pipeline blocks for HunyuanVideo 1.5 with both text-to-video (`HunyuanVideo15Blocks`) and image-to-video (`HunyuanVideo15Image2VideoBlocks`). **Parity verified on Colab G4 GPU:** - T2V: MAD 0.000000 vs\u2026",
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+  },
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+  },
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+    "body_excerpt": "# What does this PR do? When running the `train_dreambooth_lora_qwen_image.py `script with the `--with_prior_preservation` flag, the training crashes during the text embedding extraction phase. Fixing two distinct bugs related to tensor co\u2026",
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+    "author": "paulinebm",
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+    "body_excerpt": "## \ud83d\udd12 Pin GitHub Actions to commit SHAs This PR pins all GitHub Actions to their exact commit SHA instead of mutable tags or branch names. **Why?** Pinning to a SHA prevents supply chain attacks where a tag (e.g. `v4`) could be moved to poi\u2026",
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+    "body_excerpt": "## What does this PR do? Fixes Dynamo `lru_cache` warnings when using `torch.compile` on diffusion pipelines. Two changes: 1. **`attention_dispatch.py`**: `dispatch_attention_fn` calls `is_torch_version(\">=\", \"2.5.0\")` at runtime, which is\u2026",
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+    "body_excerpt": "# What does this PR do? Add a skill for all the optimizations that can be done with diffusers. At the moment it has a lot of information and still with this the LLM (Opus 4.6) is still a hit or miss with the optimizations, specially with w\u2026",
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+    "body_excerpt": "# What does this PR do? Addresses suggestions brought up in #13343 by adding scripts/workflows to auto labels issues and PRs . For Issues: Use `Qwen/Qwen3.5-35B-A3B` via Inference Providers to parse issues titles and content and assign app\u2026",
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+    "body_excerpt": "# What does this PR do? Adds modular pipeline support for LTX Video, covering both text-to-video and image-to-video. The implementation follows the same structure as the existing Wan modular pipeline. ### Text-to-video ``` LTXBlocks (Seque\u2026",
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+    "body_excerpt": "# What does this PR do? * Pytest's `caplog` fixture isn't enough to capture warnings and the errors raised from `src/diffusers/loaders/peft.py`. * Some QwenImage hotswapping tests are failing because of recompilation issues (which is known\u2026",
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+    "body_excerpt": "# What does this PR do? Fix https://github.com/huggingface/diffusers/issues/13311",
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+    "body_excerpt": "# What does this PR do? This PR expands the inputs of `QwenImage` UT from a single prompt to multiple prompts. Since `QwenImagePipeline` already supports multi-prompt inputs, we added corresponding test coverage here. - Tested with followi\u2026",
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+  },
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+    "author": "r266-tech",
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+    "body_excerpt": "## What does this PR do? Fixes #13298 When users pass a CUDA `torch.Generator` to diffusers pipelines, they may expect the same results as with a CPU generator given the same seed. However, PyTorch uses different random number generation a\u2026",
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+  },
+  {
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+    "author": "agarwalprakhar2511",
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+    "body_excerpt": "## Summary Fixes silent weight corruption when loading models with `device_map=\"mps\"`. ### Root cause `load_model_dict_into_meta` unconditionally sets `non_blocking=True` for `set_module_tensor_to_device` (added for accelerate > 1.8.1). Wi\u2026",
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+  },
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+    "body_excerpt": "## Summary When `--with_prior_preservation` is enabled in the Flux2 dreambooth LoRA training scripts, the prompt embedding repeat logic double-counts the batch size, producing a shape mismatch against the latent tensor. **Root cause:** `co\u2026",
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+    "author": "pthombre",
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+    "body_excerpt": "--- What does this PR do? Adds a new documentation page for NeMo Automodel, NVIDIA's PyTorch DTensor-native training library for fine-tuning and pretraining diffusion models at scale. NeMo Automodel integrates directly with Diffusers \u2014 it\u2026",
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+  },
+  {
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+    "body_excerpt": "## What does this PR do? Fixes #13281. When combining torchao quantization (e.g. `Float8WeightOnlyConfig`) with group offloading (`use_stream=True`), inference fails with a device mismatch: the quantized weight remains on CPU while the inp\u2026",
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+    "body_excerpt": "## What does this PR do? Fixes `ImportError` when using `TorchAoConfig` with torchao >= 0.16.0. torchao 0.15.0 deprecated the snake_case quantization functions (`int4_weight_only`, `float8_weight_only`, etc.) with deprecation warnings, and\u2026",
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+  },
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+    "body_excerpt": "## What does this PR do? Fixes dtype mismatch errors when running SD3 or FLUX models on CPU with `torch_dtype=torch.float16`. When the model's projection layers (Conv2d in `PatchEmbed`, Linear in `FluxTransformer2DModel`) are in float32 bu\u2026",
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+  },
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+    "body_excerpt": "## Summary When `set_attention_backend()` is called directly on an individual attention submodule (e.g. `pipe.transformer.attn1.set_attention_backend(\"sage_hub\")`), hub-based kernels are never downloaded and the backend silently falls back\u2026",
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+    "title": "fix(attention): download hub kernel in AttentionModuleMixin.set_attention_backend",
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+  },
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+    "title": "Fix missing latents_bn_std dtype cast in VAE normalization",
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+  },
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+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Use Claude for PR reviews. Some choices / comments: - A GitHub Actions workflow (using `anthropics/claude-code-action`) that auto-reviews PRs touching `src/diffusers/**` and responds to `@claude` mentions from folks\u2026",
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+    "body_excerpt": "# What does this PR do? Release tests were not updated to use the transformers `main` branch. This is resulting in unrelated failures on the release branch https://github.com/huggingface/diffusers/actions/runs/23330168017/job/67859952145#s\u2026",
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+    "body_excerpt": "## Summary Fixes #13124 `log_validation()` in dreambooth training scripts runs pipeline inference using the same UNet/transformer that is being trained, without `torch.no_grad()`. With `--mixed_precision=\"fp16\"`, gradients are computed and\u2026",
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+    "body_excerpt": "## Summary Fixes #12913 - **Bug**: `image_seq_len = latents.shape[1]` takes the **channel dimension** (e.g. 16) instead of the spatial sequence length. Lumina2 latents have shape `(batch, channels, height, width)` and are NOT packed before\u2026",
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+    "body_excerpt": "fix tests/models/transformers/test_models_transformer_flux.py::TestFluxTransformerContextParallel::test_context_parallel_inference[ulysses] tests/models/transformers/test_models_transformer_flux.py::TestFluxTransformerContextParallel::test\u2026",
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+    "body_excerpt": "## Summary Adds support for the [DiffSynth-Studio blockwise ControlNet](https://github.com/modelscope/DiffSynth-Studio) architecture to the existing `QwenImageControlNetModel`, addressing [the maintainer's feedback on PR #12317](https://gi\u2026",
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+    "body_excerpt": "# What does this PR do? One-line fix \u2014 missing self.gradient_checkpointing = False init, consistent with all other ControlNet implementations <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, you\u2026",
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+  },
+  {
+    "additions": 71,
+    "author": "abhixb",
+    "author_association": "NONE",
+    "body_excerpt": "Fixed issue #13177 ## The problem If you pass a tensor or numpy array as the image to the Klein pipeline, it errors even though the docstring explicitly says these types are supported. Three things cause this: - The image processor's valid\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13265",
+    "created_at": "2026-03-14T13:12:44Z",
+    "deletions": 8,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13265/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13265",
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+    "merged": false,
+    "number": 13265,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": " add tensor and numpy array support for image input in Flux2KleinPipeline",
+    "updated_at": "2026-04-03T09:32:22Z"
+  },
+  {
+    "additions": 207,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? * Introduces `Flux2Transformer2DModelOutput` class as its outputs differ from the rest of the lot. * Test suite for Klein KV. * Docs.",
+    "changed_files": 5,
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+    "created_at": "2026-03-13T03:55:38Z",
+    "deletions": 8,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13264/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13264",
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+    "merged": true,
+    "number": 13264,
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+    "state": "closed",
+    "title": "[core] Flux2 klein kv followups",
+    "updated_at": "2026-03-13T04:35:11Z"
+  },
+  {
+    "additions": 2,
+    "author": "vkuzo",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Summary: Very brief writeup as I'm about to head out for the day: 1. we want to enable cuda graphs for qwen-image + nvfp4 at small batch sizes, because without cuda graphs are we bottlenecked on cpu ops 2. to make cuda graphs work, we need\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13263",
+    "created_at": "2026-03-12T20:15:42Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13263/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13263",
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+    "merged": false,
+    "number": 13263,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "[not for land yet]: improve cuda graph support for Qwen-Image",
+    "updated_at": "2026-03-23T10:25:18Z"
+  },
+  {
+    "additions": 1386,
+    "author": "huemin-art",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Adds `Flux2KleinKVPipeline` \u2014 a KV-cached reference image conditioning pipeline for Flux2 Klein 9B. On the first denoising step, reference image tokens are included in the full transformer forward pass and their pos\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13262",
+    "created_at": "2026-03-12T14:56:59Z",
+    "deletions": 22,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13262/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13262",
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+    "merged": true,
+    "number": 13262,
+    "review_comments_count": 10,
+    "state": "closed",
+    "title": "klein 9b kv",
+    "updated_at": "2026-03-13T22:39:07Z"
+  },
+  {
+    "additions": 6,
+    "author": "s-zx",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Use safe dict access for alpha keys when converting non-diffusers Z-Image LoRA to diffusers format. Some LoRA formats use different alpha key naming (e.g. `layers.0.adaLN_modulation.0.alpha`), causing KeyError. ## Root Cause `st\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13260",
+    "created_at": "2026-03-11T23:00:33Z",
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+    "merged": false,
+    "number": 13260,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "fix: use .get() for alpha keys in lora_conversion_utils.py",
+    "updated_at": "2026-03-12T16:06:04Z"
+  },
+  {
+    "additions": 107,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
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+    "changed_files": 4,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13259",
+    "created_at": "2026-03-11T22:34:21Z",
+    "deletions": 3,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13259/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13259",
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+    "merged": true,
+    "number": 13259,
+    "review_comments_count": 9,
+    "state": "closed",
+    "title": "Add AGENTS.md",
+    "updated_at": "2026-03-14T18:35:17Z"
+  },
+  {
+    "additions": 2,
+    "author": "alvarobartt",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? This PR adds the `PRXPipeline` in the `AUTO_TEXT2IMAGE_PIPELINES_MAPPING`, so that PRX models e.g. https://huggingface.co/Photoroom/prx-1024-t2i-beta, can be loaded with the `AutoPipelineForText2Image` as it's curre\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13257",
+    "created_at": "2026-03-11T17:14:51Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13257/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13257",
+    "labels": [],
+    "merged": true,
+    "number": 13257,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Add `PRXPipeline` in `AUTO_TEXT2IMAGE_PIPELINES_MAPPING`",
+    "updated_at": "2026-03-11T17:39:25Z"
+  },
+  {
+    "additions": 6,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Fix https://github.com/huggingface/diffusers/issues/13249. @AlpineVibrations could you test if this is working?",
+    "changed_files": 1,
+    "cluster_id": null,
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+    "cluster_role": null,
+    "comments_count": 5,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13255",
+    "created_at": "2026-03-11T11:10:12Z",
+    "deletions": 2,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13255/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13255",
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+    "merged": true,
+    "number": 13255,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[lora] fix z-image non-diffusers lora loading.",
+    "updated_at": "2026-03-13T01:29:01Z"
+  },
+  {
+    "additions": 171,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13254",
+    "created_at": "2026-03-11T10:25:06Z",
+    "deletions": 214,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13254/files",
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+    "merged": false,
+    "number": 13254,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "[CI] Refactor LTX Transformer Tests",
+    "updated_at": "2026-03-11T10:25:06Z"
+  },
+  {
+    "additions": 232,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
+    "changed_files": 1,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13253",
+    "created_at": "2026-03-11T06:04:17Z",
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+    "number": 13253,
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+    "state": "open",
+    "title": "[CI] Refactor Z Image Transformer Tests ",
+    "updated_at": "2026-03-11T10:24:42Z"
+  },
+  {
+    "additions": 3,
+    "author": "kaixuanliu",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "@yiyixuxu and @asomoza, pls help review, thx! This PR fixes bug for following sample code: ``` import torch from diffusers import PaintByExamplePipeline from PIL import Image, ImageDraw # Load the pipeline pipe = PaintByExamplePipeline.fro\u2026",
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+    "comments_count": 6,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13252",
+    "created_at": "2026-03-11T01:52:38Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13252/files",
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+    "merged": true,
+    "number": 13252,
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+    "state": "closed",
+    "title": "fix: 'PaintByExampleImageEncoder' object has no attribute 'all_tied_w\u2026",
+    "updated_at": "2026-04-07T21:22:09Z"
+  },
+  {
+    "additions": 24,
+    "author": "miguelmartin75",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "- Moves cosmos to the \"video\" model section - Updates the main example - Minor updates to docstrings in cosmos transfer2.5 pipeline Review: - Docs: @stevhliu and @sayakpaul",
+    "changed_files": 4,
+    "cluster_id": null,
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13251",
+    "created_at": "2026-03-11T01:21:26Z",
+    "deletions": 18,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13251/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13251",
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+    "merged": true,
+    "number": 13251,
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+    "state": "closed",
+    "title": "Update Documentation for NVIDIA Cosmos",
+    "updated_at": "2026-03-11T16:14:57Z"
+  },
+  {
+    "additions": 32,
+    "author": "s-zx",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary The `_convert_non_diffusers_z_image_lora_to_diffusers` function did not consume LoKr-format keys (`.lokr_w1`, `.lokr_w2`, `.alpha`) from external Z-image LoRA checkpoints (e.g. Kohya/LyCORIS), causing a `ValueError` when the sta\u2026",
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+    "cluster_role": null,
+    "comments_count": 4,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13250",
+    "created_at": "2026-03-10T22:11:42Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13250/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13250",
+    "labels": [],
+    "merged": false,
+    "number": 13250,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "fix: handle LoKr format keys in Z-image LoRA conversion",
+    "updated_at": "2026-03-23T23:57:09Z"
+  },
+  {
+    "additions": 10,
+    "author": "stevhliu",
+    "author_association": "MEMBER",
+    "body_excerpt": "a few maintenance items: - move \"Guiders\" out of Modular Diffusers (because its not exclusive to it). i think after \"Schedulers\" is the most logical place for guiders as they're both swappable components and it has a much higher visibility\u2026",
+    "changed_files": 10,
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+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13248",
+    "created_at": "2026-03-10T16:39:07Z",
+    "deletions": 148,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13248/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13248",
+    "labels": [],
+    "merged": true,
+    "number": 13248,
+    "review_comments_count": 2,
+    "state": "closed",
+    "title": "[docs] updates",
+    "updated_at": "2026-03-16T20:25:01Z"
+  },
+  {
+    "additions": 358,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Implements a test suite for the conditional blocks for the following functionalities: * `get_workflow()` works as expected. * `select_blocks()` works as expected. * Automatic workflow selection works as expected. Th\u2026",
+    "changed_files": 3,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13247",
+    "created_at": "2026-03-10T13:00:25Z",
+    "deletions": 118,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13247/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13247",
+    "labels": [],
+    "merged": true,
+    "number": 13247,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[tests] Tests for conditional pipeline blocks",
+    "updated_at": "2026-03-26T03:18:19Z"
+  },
+  {
+    "additions": 51,
+    "author": "kvr06-ai",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Fixes a bug where `sigma_min` and `sigma_max` were computed from already-shifted sigmas in `__init__`, causing `set_timesteps()` to apply the shift formula twice. Fixes #13243 ## Root cause In `__init__`, the shift\u2026",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13246",
+    "created_at": "2026-03-10T10:45:14Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13246/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13246",
+    "labels": [],
+    "merged": false,
+    "number": 13246,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "Fix double-shifted sigma_min/sigma_max in FlowMatchEulerDiscreteScheduler",
+    "updated_at": "2026-03-11T04:13:52Z"
+  },
+  {
+    "additions": 61,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Add tests (two tests: loading from a modular repo and loading from a local path) to ensure `load_components()` always loads the expected components. Here, I took the liberty of defining `expected_components` as the\u2026",
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13245",
+    "created_at": "2026-03-10T10:42:21Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13245/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13245",
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+    "merged": true,
+    "number": 13245,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[tests] test load_components in modular",
+    "updated_at": "2026-03-21T04:12:20Z"
+  },
+  {
+    "additions": 19,
+    "author": "kaixuanliu",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "@yiyixuxu @asomoza, pls help review, thx!",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 9,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13244",
+    "created_at": "2026-03-10T10:35:36Z",
+    "deletions": 15,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13244/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13244",
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+    "merged": true,
+    "number": 13244,
+    "review_comments_count": 4,
+    "state": "closed",
+    "title": "Fix IndexError in HunyuanVideo I2V pipeline",
+    "updated_at": "2026-04-08T01:25:21Z"
+  },
+  {
+    "additions": 28,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": null,
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13242",
+    "created_at": "2026-03-10T06:33:46Z",
+    "deletions": 31,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13242/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13242",
+    "labels": [],
+    "merged": false,
+    "number": 13242,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "[tests] migrate test_hooks.py to pytest",
+    "updated_at": "2026-03-10T06:33:46Z"
+  },
+  {
+    "additions": 12,
+    "author": "Chase-Xuu",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Fixes #12771 \u2014 `DPMSolverMultistepScheduler` crashes with `IndexError: index 21 is out of bounds for dimension 0 with size 21` when using `beta_schedule='squaredcos_cap_v2'` with `use_karras_sigmas=True`. ## Root Cause When usin\u2026",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13240",
+    "created_at": "2026-03-10T02:02:34Z",
+    "deletions": 4,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13240/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13240",
+    "labels": [],
+    "merged": false,
+    "number": 13240,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: deduplicate timesteps in DPMSolverMultistep for squaredcos_cap_v2 + karras/lu sigmas",
+    "updated_at": "2026-03-10T02:02:34Z"
+  },
+  {
+    "additions": 11,
+    "author": "Chase-Xuu",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes #12771 \u2014 `DPMSolverMultistepScheduler` crashes with `IndexError: index N is out of bounds` when using `beta_schedule='squaredcos_cap_v2'` with `use_karras_sigmas=True` (or `use_lu_lambdas=True`). ### Root cau\u2026",
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+    "cluster_id": null,
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+    "body_excerpt": "# What does this PR do? It enables detection of FLUX.2 Klein models when loading transformers from single file, like in the following example: ```python import torch from diffusers import Flux2KleinPipeline, Flux2Transformer2DModel, GGUFQu\u2026",
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+    "body_excerpt": "# What does this PR do? I believe that the error message was wrong, since the shapes mentionned did not match the test trigering the error. I think that there is also an ambiguity on what is meant by \"quantized\" shape: the value returned b\u2026",
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+    "body_excerpt": "# What does this PR do? - [x] Refactor MagCache tests. - [x] Include TaylorSeer in our model-level caching test mixin. - [ ] Consider removing caching-related mixins from `test_pipelines_common.py`.",
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+    "body_excerpt": "# What does this PR do? This PR adds support for [Diffusion Transformers with Representation Autoencoders](https://rae-dit.github.io) in Diffusers. It implements the Stage-2 side of the RAE setup: - `RAEDiT2DModel` - `RAEDiTPipeline` - che\u2026",
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+    "body_excerpt": "This PR adds LTX-VAE support for SANA-Video. Cc: @dg845 @sayakpaul GPU memory needed: 47GB for LTX refiner ### SANA-Video with LTX2-Refiner: ```python \"\"\"Sana Video + LTX2 Refiner: Stage 1 generate latent \u2192 Stage 2 refine (3 steps).\"\"\" imp\u2026",
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+    "body_excerpt": "Allow pass cpu generator for helios. w/o this fix, helios distilled pipeline will raise an device mismatch error if we use cpu generator. we should use the device from generator for torch.randn. ```bash File \"/workspace/deftruth/dev/minico\u2026",
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+    "body_excerpt": "Add support for LLaDA2/LLaDA2.1 discrete diffusion text generation: - BlockRefinementPipeline: block-wise iterative refinement with confidence-based token commitment, supporting editing threshold for LLaDA2.1 models - LLaDA2Pipeline: conve\u2026",
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+    "body_excerpt": "cc @dg845 @sayakpaul @yiyixuxu ### Helios-Distilled ``` # CUDA_VISIBLE_DEVICES=0,1,2,3 torchrun --master_port 12311 --nproc_per_node 2 infer_distilled.py import os import argparse import torch import torch.distributed as dist from diffuser\u2026",
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+    "body_excerpt": "# What does this PR do? This PR refactors `AttentionProcessorSkipHook` to support attention processors with a `_skip_attn_scores` flag, which is meant to allow attention processors to specify custom [spatio-temporal guidance (STG)](https:/\u2026",
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+    "body_excerpt": "# What does this PR do? This PR fixes wrapped transformer config access in the Flux2 Klein DreamBooth LoRA training scripts. When the transformer is wrapped by Accelerate, DDP, or FSDP, accessing `transformer.config.guidance_embeds` direct\u2026",
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+    "body_excerpt": "In helios pipeline, the latents are always in FP32 format: [L798](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/helios/pipeline_helios.py#L798), hence we should skip the test_save_load_float16 test case, rather\u2026",
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+    "body_excerpt": "# What does this PR do? This PR adds support for LTX-2.3 ([official code](https://github.com/Lightricks/LTX-2), [model weights](https://huggingface.co/Lightricks/LTX-2.3)), a new model in the LTX-2.X family of audio-video models. LTX-2.3 h\u2026",
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+    "body_excerpt": "```py import torch from diffusers import ModularPipeline, ClassifierFreeGuidance, ClassifierFreeZeroStarGuidance from diffusers.utils import export_to_video, load_image, load_video import gc branch = \"\" ############################# # heli\u2026",
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+    "title": "Convert tensors to float in Helios's optimized_scale function",
+    "updated_at": "2026-03-06T03:08:45Z"
+  },
+  {
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+    "author": "SHYuanBest",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "cc @dg845 @sayakpaul",
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+    "state": "closed",
+    "title": "Fix Helios paper link in documentation",
+    "updated_at": "2026-03-05T13:28:14Z"
+  },
+  {
+    "additions": 5,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "Just an extension of #13183 to the other Z-Image pipleines @yiyixuxu @sayakpaul",
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+    "state": "closed",
+    "title": "[Z-Image] Fix more `do_classifier_free_guidance` thresholds",
+    "updated_at": "2026-03-04T20:12:03Z"
+  },
+  {
+    "additions": 135,
+    "author": "SHYuanBest",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Related to https://github.com/huggingface/diffusers/pull/13208 and https://github.com/huggingface/diffusers/pull/13210 cc @yiyixuxu cc @sayakpaul cc @dg845",
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+    "created_at": "2026-03-04T13:22:26Z",
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+    "state": "closed",
+    "title": "Fix group-offloading bug",
+    "updated_at": "2026-03-04T15:04:14Z"
+  },
+  {
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+    "author": "SHYuanBest",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Related to https://github.com/huggingface/diffusers/pull/13208 cc @yiyixuxu cc @sayakpaul cc @dg845",
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+    "state": "closed",
+    "title": "Fix Helios related (optimize docs & remove redudant)",
+    "updated_at": "2026-03-04T15:14:44Z"
+  },
+  {
+    "additions": 78,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Fixes https://github.com/huggingface/diffusers/issues/13203 Additionally, fixes how \"alpha\"s are handled in the diffusers format path.",
+    "changed_files": 1,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13209/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13209",
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+    "state": "closed",
+    "title": "[lora] fix zimage lora conversion to support for more lora.",
+    "updated_at": "2026-03-05T02:54:46Z"
+  },
+  {
+    "additions": 5655,
+    "author": "dg845",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? This PR adds pipelines for the Helios-14B video generation model ([project page](https://pku-yuangroup.github.io/Helios-Page/), [official code](https://github.com/PKU-YuanGroup/Helios), [model weights](https://huggi\u2026",
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13208",
+    "created_at": "2026-03-04T10:49:11Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13208/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13208",
+    "labels": [],
+    "merged": true,
+    "number": 13208,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Add Helios-14B Video Generation Pipelines",
+    "updated_at": "2026-03-04T16:01:50Z"
+  },
+  {
+    "additions": 34,
+    "author": "jiqing-feng",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Currently, every process encodes the entire dataset through the VAE during preprocessing. This is redundant in multi-GPU training \u2014 each process does the same full encoding work independently. This PR shards the VAE encoding across process\u2026",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 3,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13207",
+    "created_at": "2026-03-04T08:02:24Z",
+    "deletions": 7,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13207/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13207",
+    "labels": [],
+    "merged": true,
+    "number": 13207,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "cogvideo example: Distribute VAE video encoding across processes in CogVideoX LoRA training",
+    "updated_at": "2026-03-04T09:39:05Z"
+  },
+  {
+    "additions": 61,
+    "author": "kirillsst",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "## Summary - Add `scheduler.set_begin_index(0)` before the denoising loop in all flow-matching pipelines that were missing it - For img2img pipelines with strength-based schedule truncation (`wan_video2video`, `ltx_condition`), set the beg\u2026",
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13206",
+    "created_at": "2026-03-03T13:30:17Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13206/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13206",
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+    "state": "open",
+    "title": "Set `begin_index` for flow-matching pipelines to avoid slow `index_for_timestep`",
+    "updated_at": "2026-03-03T13:30:17Z"
+  },
+  {
+    "additions": 1,
+    "author": "teith",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? Fixes invalid type annotation for the `image` parameter in `Flux2Pipeline.__call__`. `list[PIL.Image.Image, PIL.Image.Image]` passes two type arguments to `list`, which only accepts one. Fixed to `PIL.Image.Image |\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13205",
+    "created_at": "2026-03-03T01:07:16Z",
+    "deletions": 1,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13205/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13205",
+    "labels": [],
+    "merged": true,
+    "number": 13205,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "fix: correct invalid type annotation for `image` in `Flux2Pipeline.__call__`",
+    "updated_at": "2026-03-13T18:56:39Z"
+  },
+  {
+    "additions": 239,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
+    "body_excerpt": "based on this discussion https://github.com/huggingface/blog/pull/3278#discussion_r2873972272",
+    "changed_files": 3,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13204",
+    "created_at": "2026-03-02T23:03:06Z",
+    "deletions": 8,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13204/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13204",
+    "labels": [],
+    "merged": true,
+    "number": 13204,
+    "review_comments_count": 10,
+    "state": "closed",
+    "title": "[modular] not pass trust_remote_code to external repos ",
+    "updated_at": "2026-03-03T12:36:37Z"
+  },
+  {
+    "additions": 0,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Accidentally committed a bunch of extra Claude files. Removing them here. <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes\u2026",
+    "changed_files": 17,
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+    "cluster_ids": [],
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13202",
+    "created_at": "2026-03-02T19:04:38Z",
+    "deletions": 1907,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13202/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13202",
+    "labels": [],
+    "merged": true,
+    "number": 13202,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Clean up accidental files",
+    "updated_at": "2026-03-02T19:05:59Z"
+  },
+  {
+    "additions": 27,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "Reverts huggingface/diffusers#13168",
+    "changed_files": 20,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13201",
+    "created_at": "2026-03-02T18:35:59Z",
+    "deletions": 2112,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13201/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13201",
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+    "merged": false,
+    "number": 13201,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "Revert \"[Modular] Save Modular Pipeline weights to Hub\"",
+    "updated_at": "2026-03-02T18:53:47Z"
+  },
+  {
+    "additions": 4,
+    "author": "christopher5106",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "If you don't see any problem having Lora support for Controlnet pipelines for Z-Image, here is the PR. @sayakpaul",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13200",
+    "created_at": "2026-03-02T14:51:52Z",
+    "deletions": 4,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13200/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13200",
+    "labels": [],
+    "merged": true,
+    "number": 13200,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "adding lora support to z-image controlnet pipelines",
+    "updated_at": "2026-03-05T18:11:07Z"
+  },
+  {
+    "additions": 0,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Remove DB utils from the benchmarking workflow. Internal thread: https://huggingface.slack.com/archives/CTKK32GE8/p1772345661280549 Cc: @McPatate",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13199",
+    "created_at": "2026-03-02T10:46:19Z",
+    "deletions": 180,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13199/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13199",
+    "labels": [],
+    "merged": true,
+    "number": 13199,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "remove db utils from benchmarking",
+    "updated_at": "2026-03-02T11:15:33Z"
+  },
+  {
+    "additions": 43,
+    "author": "delmalih",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR improves the docstrings and type hints in `src/diffusers/schedulers/scheduling_ipndm.py` to follow the project conventions as described in #9567. ## Context This is part of a broader effort to improve docume\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13198",
+    "created_at": "2026-02-28T10:30:41Z",
+    "deletions": 8,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13198/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13198",
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+    "merged": true,
+    "number": 13198,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "docs: improve docstring scheduling_ipndm.py",
+    "updated_at": "2026-03-02T17:42:55Z"
+  },
+  {
+    "additions": 52,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? When loading custom code from a local path with AutoModel, the subfolder argument is not properly handled in `get_cached_module_file`. This results in this check for a valid file path failing and a local path being\u2026",
+    "changed_files": 2,
+    "cluster_id": null,
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+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13197",
+    "created_at": "2026-02-28T06:33:35Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13197/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13197",
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+    "merged": true,
+    "number": 13197,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[AutoModel] Fix bug with subfolders and local model paths when loading custom code",
+    "updated_at": "2026-03-02T12:14:25Z"
+  },
+  {
+    "additions": 150,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
+    "body_excerpt": "before https://huggingface.co/YiYiXu/modular-loader-t2i-0704 after https://huggingface.co/YiYiXu/modular-loader-t2i-20260227 the input/output isn't too meaningful for conditional/auto pipeline so it is better we show them for each workflow\u2026",
+    "changed_files": 4,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13195",
+    "created_at": "2026-02-27T11:11:16Z",
+    "deletions": 115,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13195/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13195",
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+    "number": 13195,
+    "review_comments_count": 3,
+    "state": "closed",
+    "title": "[modular]Update model card to include workflow",
+    "updated_at": "2026-03-03T06:50:11Z"
+  },
+  {
+    "additions": 52,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Why not use `pytest` features haha.",
+    "changed_files": 3,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13194",
+    "created_at": "2026-02-27T10:00:53Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13194/files",
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+    "merged": true,
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+    "state": "closed",
+    "title": "[tests] Use `tmp_path` fixture modular tests",
+    "updated_at": "2026-03-09T09:58:51Z"
+  },
+  {
+    "additions": 32,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
+    "body_excerpt": "so that we are able to correctly load repos like https://huggingface.co/diffusers/flux2-modular When creating a pipeline using `SequentialPipelineBlocks.from_blocks_dict()` and saving it, the `modular_model_index.json` stores `_blocks_clas\u2026",
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+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13193",
+    "created_at": "2026-02-27T09:40:45Z",
+    "deletions": 1,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13193/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13193",
+    "labels": [],
+    "merged": true,
+    "number": 13193,
+    "review_comments_count": 1,
+    "state": "closed",
+    "title": "[modular] fallback to default_blocks_name when loading base block classes in ModularPipeline",
+    "updated_at": "2026-02-28T04:58:06Z"
+  },
+  {
+    "additions": 29,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? `modular_model_index.json` is a fundamental block for sharing and loading modular blocks and pipelines. This PR adds a test to ensure the integrity and consistency of a `modular_model_index.json`. I think this will\u2026",
+    "changed_files": 1,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13192",
+    "created_at": "2026-02-27T09:40:30Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13192/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13192",
+    "labels": [],
+    "merged": true,
+    "number": 13192,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[tests] consistency tests for modular index",
+    "updated_at": "2026-02-28T03:17:25Z"
+  },
+  {
+    "additions": 33,
+    "author": "jashshah999",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes None dereference crashes and a mutable default argument bug: **1. `models/model_loading_utils.py`** - `_fetch_remapped_cls_from_config` used chained `.get().get()` without a fallback on the first call. If `pr\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13190",
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+    "title": "Fix None dereference crashes and mutable default feat_idx in Wan/Cosmos autoencoders",
+    "updated_at": "2026-03-12T15:16:37Z"
+  },
+  {
+    "additions": 69,
+    "author": "christopher5106",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "I added support for Kohya's Flux.2 loras to the PR as well. Reproducer code is: FLUX.2 Dev ```python import torch from diffusers import Flux2Pipeline pipe = Flux2Pipeline.from_pretrained(\"black-forest-labs/FLUX.2-dev\", torch_dtype=torch.bf\u2026",
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+    "state": "open",
+    "title": "Fix for loading of Kohya's Musubi tuner's Flux.2 dev lora",
+    "updated_at": "2026-03-31T06:43:45Z"
+  },
+  {
+    "additions": 2,
+    "author": "christopher5106",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Text encoder lora layers are dropped for some loras such as [this one](https://huggingface.co/scenario-labs/big-head-kontext-lora/blob/main/flux_kontext_lora.safetensors) A log message confirms it: `No LoRA keys associated to CLIPTextModel\u2026",
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+    "merged": true,
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+    "state": "closed",
+    "title": "Fixing Kohya loras loading: Flux.1-dev loras with TE (\"lora_te1_\" prefix)",
+    "updated_at": "2026-03-05T18:13:18Z"
+  },
+  {
+    "additions": 75,
+    "author": "Songrui625",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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+    "state": "closed",
+    "title": "Fix LTX-2 image-to-video generation failure in two stages generation",
+    "updated_at": "2026-02-27T08:55:02Z"
+  },
+  {
+    "additions": 115,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Add `regisiter_for_auto_class` method to `ConfigMixin` so that we don't have to manually edit the `config.json` file to add the `auto_map` field that we need to load custom code models. <!-- Congratulations! You've\u2026",
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+    "merged": true,
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+    "state": "closed",
+    "title": "[AutoModel] Allow registering `auto_map` to model config",
+    "updated_at": "2026-03-02T16:43:25Z"
+  },
+  {
+    "additions": 13,
+    "author": "jashshah999",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes several latent bugs across the codebase: **Mutable default arguments** (shared state across calls): - `_replace_with_gguf_linear`: `modules_to_not_convert=[]` -> `None` with guard - `_dequantize_gguf_and_rest\u2026",
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+    "state": "open",
+    "title": "Fix mutable default arguments, resource leak, and redundant assignment",
+    "updated_at": "2026-03-12T15:16:34Z"
+  },
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+    "author": "dxqb",
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+    "body_excerpt": "please see https://github.com/huggingface/diffusers/issues/12893#issuecomment-3961152727 this is a PR against release v.0.36.0, therefore currently not mergable. I can change that if and when this PR is agreed upon. - Pipelines and pipelin\u2026",
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+    "title": "Z-Image: no attention mask if attention mask is a no-op",
+    "updated_at": "2026-03-24T18:01:33Z"
+  },
+  {
+    "additions": 1,
+    "author": "kirillsst",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "## Summary - Z-Image uses a different CFG formula: `pred = pos + guidance_scale * (pos - neg)`, where `guidance_scale = 0` corresponds to no guidance - The `do_classifier_free_guidance` property was checking `> 1` (standard diffusers conve\u2026",
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+    "title": "Fix wrong `do_classifier_free_guidance` threshold in ZImagePipeline",
+    "updated_at": "2026-02-26T01:08:12Z"
+  },
+  {
+    "additions": 140,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? * Fixes support for ring attention for Flash and Flash 3 * Adds a test suite for CP backends x attention backends <img width=\"1024\" height=\"1024\" alt=\"image\" src=\"https://github.com/user-attachments/assets/2600632f-\u2026",
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+    "state": "open",
+    "title": "[attention backends] fix ring CP for flash and flash 3",
+    "updated_at": "2026-02-24T11:53:27Z"
+  },
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+    "state": "closed",
+    "title": "[docs] Fix torchrun command argument order in docs",
+    "updated_at": "2026-02-24T16:31:40Z"
+  },
+  {
+    "additions": 7,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Since Quanto is now in maintenance mode. I think we can deprecate it and remove by 1.0.0 <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in th\u2026",
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+    "title": "[Quantization] Deprecate Quanto",
+    "updated_at": "2026-03-11T03:56:47Z"
+  },
+  {
+    "additions": 1,
+    "author": "dg845",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? #13123 introduced an error where we use a Python `<3.9` style type hint with `Optional[...]` and `Union[...]` without importing them from `typing`. This PR fixes this by converting the type hint to a Python `>=3.9`\u2026",
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+    "title": "Fix AutoModel `typing` Import Error",
+    "updated_at": "2026-02-24T02:47:41Z"
+  },
+  {
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+    "author": "dhruvildarji",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Closes #13104 Issue #13104 reports a `NameError: name 'logger' is not defined` that occurs at import time when `_update_torch_safe_globals()` in `torchao_quantizer.py` raises an `ImportError` (e.g. when `torchao.dtypes.uintx.uin\u2026",
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+    "title": "tests: add regression test for logger NameError in torchao_quantizer",
+    "updated_at": "2026-02-23T10:03:12Z"
+  },
+  {
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+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Add attention backend tests.",
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+    "updated_at": "2026-02-24T07:19:17Z"
+  },
+  {
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+    "author": "veeceey",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "After [Dao-AILab/flash-attention@ed20940](https://github.com/Dao-AILab/flash-attention/commit/ed209409acedbb2379f870bbd03abce31a7a51b7), `flash_attn_3_func` no longer returns `(out, lse, ...)` by default -- it just returns `out`. This brea\u2026",
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+    "title": "Fix Flash Attention 3 interface for new FA3 return format",
+    "updated_at": "2026-02-26T12:04:37Z"
+  },
+  {
+    "additions": 4,
+    "author": "veeceey",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "The dynamic CFG calculation in CogVideoX pipelines was using `t.item()` (the raw timestep value, which ranges from ~1 to ~999) instead of the loop index `i` (which ranges from 0 to `num_inference_steps - 1`). This made `((num_inference_ste\u2026",
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+    "title": "Fix CogVideoX dynamic CFG to use loop index instead of timestep value",
+    "updated_at": "2026-02-23T04:17:50Z"
+  },
+  {
+    "additions": 34,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Now that the Hub-based attention backends (Flash, Flash 3, SAGE) have been fully feature-complete (`torch.compile`, CP, etc.), we can confidently remove the non-Hub variants. This has several advantages: * More Hub-\u2026",
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+    "state": "open",
+    "title": "[attention backends] remove non-hub attention backends.",
+    "updated_at": "2026-02-23T23:08:31Z"
+  },
+  {
+    "additions": 4,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "FAL trained loras use the default peft key naming, this PR just rename them to the diffusers naming. Fixes #13162 Tested with [this lora](https://huggingface.co/fal/flux-2-klein-4b-spritesheet-lora) ### code ```python import torch from dif\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13169",
+    "created_at": "2026-02-20T17:52:43Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13169/files",
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+    "state": "closed",
+    "title": "Support Flux Klein peft (fal) lora format",
+    "updated_at": "2026-02-21T05:01:40Z"
+  },
+  {
+    "additions": 2112,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Enable modular pipelines to save model weights to the Hub. Previously, only configs were saved. Note that if individual components are loaded from external repos, their model configs will continue to reference those\u2026",
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+    "state": "closed",
+    "title": "[Modular] Save Modular Pipeline weights to Hub",
+    "updated_at": "2026-03-02T16:50:42Z"
+  },
+  {
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+    "author": "anijain2305",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Once `dequantize_gguf_tensor` fetches the quant_type attributes from the GGUFParamter tensor subclass, there is no further need of running the actual dequantize operations on the Tensor subclass, we can just convert to plain tensor right a\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13166",
+    "created_at": "2026-02-19T23:02:10Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13166/files",
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+    "state": "closed",
+    "title": "[gguf][torch.compile time] Convert to plain tensor earlier in dequantize_gguf_tensor",
+    "updated_at": "2026-02-26T18:17:12Z"
+  },
+  {
+    "additions": 91,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Great pointer here https://github.com/huggingface/diffusers/pull/12812#discussion_r2827759302 from @vasqu.",
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+    "body_excerpt": "# What does this PR do? This PR fixes the `ftfy` import for the PRX pipeline by guarding the import with `is_ftfy_available`. It also removes the `xfail` mark for the PRX pipeline tests as the tests appear to work now for `transformers>4.5\u2026",
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+    "body_excerpt": "otherwise cannot load modular blocks like this with `ModularPipeline.from_pretrained()` directly https://huggingface.co/diffusers/flux2-modular",
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+    "body_excerpt": "# What does this PR do? LTX2 has the incorrect lora mixing which prevents using LTX2 lora with it. This PR fixes that. ## Who can review? @sayakpaul @dg845",
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+    "updated_at": "2026-03-25T16:32:00Z"
+  },
+  {
+    "additions": 155,
+    "author": "aazeeem11",
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+    "body_excerpt": "## Summary - Adds Diffusers Claude Skill + Claude Code plugin scaffold - Adds marketplace compatibility via marketplace.json - Tested locally: - plugin.json validates - marketplace add works - plugin installs and is enabled ## Reviewer Che\u2026",
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+    "title": "Add Claude Diffusers skill and Claude Code plugin scaffold (#12935)",
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+  },
+  {
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+    "author": "jscaldwell55",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Core issue stems from the fact that `ZImageControlNetModel.from_transformer()` shares module references with the source transformer but doesn't freeze them. This allows users to accidentally train/modify shared modules, corrupti\u2026",
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+    "html_url": "https://github.com/huggingface/diffusers/pull/13136",
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+    "title": "fix: freeze shared transformer modules in ZImageControlNet.from_transformer",
+    "updated_at": "2026-02-23T17:16:10Z"
+  },
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+    "state": "closed",
+    "title": "[docs] fix ltx2 i2v docstring.",
+    "updated_at": "2026-02-14T03:10:23Z"
+  },
+  {
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+    "author": "sayakpaul",
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+    "body_excerpt": "Fixes https://github.com/huggingface/diffusers/actions/runs/21974409178/job/63482724343?pr=12994#step:5:270",
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+    "html_url": "https://github.com/huggingface/diffusers/pull/13134",
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+    "title": "fix cosmos transformer typing.",
+    "updated_at": "2026-02-13T09:21:35Z"
+  },
+  {
+    "additions": 1,
+    "author": "Minisal",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR fixes a dimension mismatch in the attention mask handling for the HunyuanVideo1.5 VAE implementation in `autoencoder_kl_hunyuanvideo15.py`. #### Problem In the current implementation (line 148 of `autoencode\u2026",
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+    "html_url": "https://github.com/huggingface/diffusers/pull/13133",
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+    "title": "Fix missing .unsqueeze(1) in attention mask for HunyuanVideo VAE",
+    "updated_at": "2026-02-13T04:37:41Z"
+  },
+  {
+    "additions": 5,
+    "author": "dg845",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? This PR is a follow-up to #13129 which attempts to fix the same error for the `pr_tests_gpu.yml` workflow, which performs GPU tests for PRs. The fix is currently the same as in the previous PR, but I'm not sure how\u2026",
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+    "state": "closed",
+    "title": "[CI] Fix `setuptools` `pkg_resources` Bug for PR GPU Tests",
+    "updated_at": "2026-02-13T04:41:21Z"
+  },
+  {
+    "additions": 33,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? Fixes #12893 The attention masks in `ZImageTransformer2DModel` were not properly masking inner padding tokens. After `patchify_and_embed` pads each sequence to a multiple of `SEQ_MULTI_OF` (32), the sequence length\u2026",
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+    "title": "Fix broken attention masking for inner padding in ZImageTransformer2DModel",
+    "updated_at": "2026-02-13T08:16:07Z"
+  },
+  {
+    "additions": 48,
+    "author": "delmalih",
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+    "body_excerpt": "# What does this PR do? This PR improves the docstrings and type hints in `src/diffusers/schedulers/scheduling_flow_match_heun_discrete.py` to follow the project conventions as described in #9567. ## Context This is part of a broader effor\u2026",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13130/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13130",
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+    "title": "docs: improve docstring scheduling_flow_match_heun_discrete.py",
+    "updated_at": "2026-02-12T22:32:04Z"
+  },
+  {
+    "additions": 5,
+    "author": "dg845",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? `setuptools` removed the `pkg_resources` module in version 81 (see e.g. [this page in the `setuptools` docs](https://setuptools.pypa.io/en/latest/deprecated/pkg_resources.html)), but some dependencies have not migra\u2026",
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+    "state": "closed",
+    "title": "[CI] Fix `setuptools` `pkg_resources` Errors",
+    "updated_at": "2026-02-12T12:19:03Z"
+  },
+  {
+    "additions": 266,
+    "author": "jscaldwell55",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary `ZImageControlNetModel.from_transformer()` uses direct assignment to copy modules from the transformer, creating shared references. Modifying controlnet weights inadvertently mutates the original transformer. This PR replaces th\u2026",
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+    "title": "fix: use state_dict pattern in ZImageControlNet.from_transformer to prevent weight sharing",
+    "updated_at": "2026-02-13T12:12:49Z"
+  },
+  {
+    "additions": 78,
+    "author": "delmalih",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR improves the docstrings and type hints in `src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py` to follow the project conventions as described in #9567. ## Context This is part of a broader effo\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13127",
+    "created_at": "2026-02-11T21:42:09Z",
+    "deletions": 13,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13127/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13127",
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+    "merged": true,
+    "number": 13127,
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+    "state": "closed",
+    "title": "docs: improve docstring scheduling_flow_match_euler_discrete.py",
+    "updated_at": "2026-02-12T00:39:55Z"
+  },
+  {
+    "additions": 14,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "Add support for the distilled loras [here](https://huggingface.co/alibaba-pai/Z-Image-Fun-Lora-Distill) for the Base Z-Image model. code: ```python import torch from diffusers import ZImagePipeline repo_id = \"Tongyi-MAI/Z-Image\" pipe = ZIm\u2026",
+    "changed_files": 1,
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13126",
+    "created_at": "2026-02-11T19:22:40Z",
+    "deletions": 7,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13126/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13126",
+    "labels": [],
+    "merged": false,
+    "number": 13126,
+    "review_comments_count": 3,
+    "state": "closed",
+    "title": "[LoRA] Add support for Z-Image Base distilled loras",
+    "updated_at": "2026-03-04T16:30:12Z"
+  },
+  {
+    "additions": 40,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - **Bug:** `CogVideoXDDIMScheduler.step()` and `CogVideoXDPMScheduler.step()` compute `prev_timestep` using `timestep - num_train_timesteps // num_inference_steps`, which only works correctly when `timestep_spacing=\"leading\"`. F\u2026",
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13125",
+    "created_at": "2026-02-11T18:38:44Z",
+    "deletions": 2,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13125/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13125",
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+    "merged": false,
+    "number": 13125,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "Fix CogVideoX scheduler prev_timestep for non-leading spacing",
+    "updated_at": "2026-02-11T18:38:44Z"
+  },
+  {
+    "additions": 186,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? AutoModel currently doesn't support creating objects using `from_config`, but this can be useful in cases where we might want to load a custom component that doesn't have any weights associated with it e.g. Custom s\u2026",
+    "changed_files": 2,
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13123",
+    "created_at": "2026-02-11T10:46:22Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13123/files",
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+    "merged": true,
+    "number": 13123,
+    "review_comments_count": 8,
+    "state": "closed",
+    "title": "Allow Automodel to use  `from_config` with custom code.",
+    "updated_at": "2026-02-23T16:26:00Z"
+  },
+  {
+    "additions": 30,
+    "author": "delmalih",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR improves the docstrings and type hints in `src/diffusers/schedulers/scheduling_edm_dpmsolver_multistep.py` to follow the project conventions as described in #9567. ## Context This is part of a broader effort\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13122",
+    "created_at": "2026-02-11T10:38:56Z",
+    "deletions": 21,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13122/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13122",
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+    "merged": true,
+    "number": 13122,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "docs: improve docstring scheduling_edm_dpmsolver_multistep.py",
+    "updated_at": "2026-02-11T16:59:33Z"
+  },
+  {
+    "additions": 10,
+    "author": "dg845",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? This PR fixes LTX-2 inference when `num_videos_per_prompt > 1` and CFG is enabled by duplicating the video and audio position ids for CFG. Using `num_videos_per_prompt > 1` worked before this PR when CFG was not use\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13121",
+    "created_at": "2026-02-11T05:39:28Z",
+    "deletions": 4,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13121/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13121",
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+    "merged": true,
+    "number": 13121,
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+    "state": "closed",
+    "title": "Fix LTX-2 Inference when `num_videos_per_prompt > 1` and CFG is Enabled",
+    "updated_at": "2026-02-12T12:11:52Z"
+  },
+  {
+    "additions": 66,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Add tests for model loading w.r.t https://github.com/huggingface/diffusers/pull/13025.",
+    "changed_files": 1,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13120",
+    "created_at": "2026-02-10T16:35:36Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13120/files",
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+    "state": "closed",
+    "title": "[modular] add tests for robust model loading.",
+    "updated_at": "2026-02-12T04:34:37Z"
+  },
+  {
+    "additions": 44,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Fix https://github.com/huggingface/diffusers/issues/13107 Cc: @mshehzadkhan. Could you give this a try please?",
+    "changed_files": 1,
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13119",
+    "created_at": "2026-02-10T15:40:53Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13119/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13119",
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+    "merged": true,
+    "number": 13119,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[lora] fix non-diffusers lora key handling for flux2",
+    "updated_at": "2026-02-11T02:37:02Z"
+  },
+  {
+    "additions": 71,
+    "author": "christopher5106",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Text encoder lora layers are dropped for some loras such as [this one](https://huggingface.co/scenario-labs/big-head-kontext-lora/blob/main/flux_kontext_lora.safetensors) A log message confirms it: `No LoRA keys associated to CLIPTextModel\u2026",
+    "changed_files": 2,
+    "cluster_id": null,
+    "cluster_ids": [],
+    "cluster_role": null,
+    "comments_count": 8,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13118",
+    "created_at": "2026-02-10T14:46:35Z",
+    "deletions": 22,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13118/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13118",
+    "labels": [],
+    "merged": false,
+    "number": 13118,
+    "review_comments_count": 2,
+    "state": "closed",
+    "title": "Fixing Kohya loras loading: Flux.1-dev loras with TE (\"lora_te1_\" prefix) + Flux.2-dev loras",
+    "updated_at": "2026-02-26T18:25:17Z"
+  },
+  {
+    "additions": 98,
+    "author": "kitsune-hash",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Fixes #12009 When loading models from single-file checkpoints (e.g., GGUF format), some parameters or buffers may not be present in the checkpoint and remain on the `meta` device after `load_model_dict_into_meta`. This causes `d\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13117",
+    "created_at": "2026-02-10T14:26:40Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13117/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13117",
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+    "merged": false,
+    "number": 13117,
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+    "state": "open",
+    "title": "Fix: handle remaining meta tensors in from_single_file before dispatch",
+    "updated_at": "2026-02-10T14:26:40Z"
+  },
+  {
+    "additions": 65,
+    "author": "sayakpaul",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? The base class has a test for it but I think we didn't actually make it so that the tests would run for different backends. @DN6 could you test Quanto and GGUF?",
+    "changed_files": 2,
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+    "created_at": "2026-02-10T06:37:27Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13116/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13116",
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+    "state": "open",
+    "title": "[tests] tests for `modules_to_not_convert`",
+    "updated_at": "2026-03-04T11:04:09Z"
+  },
+  {
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+    "author": "yiyixuxu",
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+    "created_at": "2026-02-10T03:58:10Z",
+    "deletions": 40,
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13115/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13115",
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+    "merged": false,
+    "number": 13115,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[modular] some small fix",
+    "updated_at": "2026-02-14T17:08:54Z"
+  },
+  {
+    "additions": 452,
+    "author": "miguelmartin75",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This builds off https://github.com/huggingface/diffusers/pull/13066 by adding auto-regressive inference for Cosmos Transfer2.5. This pipeline does not require the controlnet or controls to be input. From the documen\u2026",
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+    "created_at": "2026-02-10T02:47:36Z",
+    "deletions": 261,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13114/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13114",
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+    "merged": true,
+    "number": 13114,
+    "review_comments_count": 16,
+    "state": "closed",
+    "title": "Cosmos Transfer2.5 Auto-Regressive Inference Pipeline",
+    "updated_at": "2026-02-26T00:42:29Z"
+  },
+  {
+    "additions": 0,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Removes `ftfy` imports before check. Fixes #13112 @yiyixuxu",
+    "changed_files": 3,
+    "cluster_id": null,
+    "cluster_ids": [],
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+    "created_at": "2026-02-09T21:56:12Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13113/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13113",
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+    "merged": true,
+    "number": 13113,
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+    "state": "closed",
+    "title": "[SkyReelsV2] Fix ftfy import",
+    "updated_at": "2026-02-10T07:26:14Z"
+  },
+  {
+    "additions": 37,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Fixes #12630 - Some AudioLDM2 model repos (e.g. `anhnct/audioldm2_gigaspeech`) use `GPT2Model` instead of `GPT2LMHeadModel` as the language model. `GPT2Model` does not inherit from `GenerationMixin`, so calling `_get_initial_cac\u2026",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13111/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13111",
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+    "state": "open",
+    "title": "Fix AudioLDM2Pipeline AttributeError with GPT2Model",
+    "updated_at": "2026-02-12T18:11:24Z"
+  },
+  {
+    "additions": 6,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Add a bounds check in `AuraFlowPatchEmbed.pe_selection_index_based_on_dim()` to prevent out-of-bounds positional embedding indices - When the input latent dimensions exceed the PE grid size, the centered-crop index calculation\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13110",
+    "created_at": "2026-02-09T18:35:08Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13110/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13110",
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+    "state": "open",
+    "title": "Add bounds check for AuraFlow positional embedding indices",
+    "updated_at": "2026-02-12T18:11:22Z"
+  },
+  {
+    "additions": 5,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix `SanaCombinedTimestepGuidanceEmbeddings.forward()` to handle the case where `guidance` is `None` - When `guidance_embeds=True` but `guidance` is not provided at inference time, the forward call would crash trying to projec\u2026",
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+    "state": "open",
+    "title": "Fix SanaCombinedTimestepGuidanceEmbeddings to handle missing guidance",
+    "updated_at": "2026-02-12T18:11:20Z"
+  },
+  {
+    "additions": 9,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary - Fix `DDIMScheduler.step()` to correctly compute `prev_timestep` when `timestep_spacing` is set to `linspace` or `trailing` - The previous implementation used a hard-coded formula (`timestep - num_train_timesteps // num_inferen\u2026",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13108/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13108",
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+    "state": "open",
+    "title": "Fix DDIMScheduler.step() prev_timestep for non-leading spacing",
+    "updated_at": "2026-02-12T18:11:18Z"
+  },
+  {
+    "additions": 2,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Fixes `from_pipe()` to preserve the source pipeline's dtype instead of defaulting to float32. ## Problem When using `from_pipe()` to create a new pipeline from an existing one, the dtype was not preserved: ```python pipe = Stabl\u2026",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13103",
+    "created_at": "2026-02-08T12:56:56Z",
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+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13103/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13103",
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+    "state": "open",
+    "title": "fix(pipeline): Preserve dtype in from_pipe() instead of defaulting to float32",
+    "updated_at": "2026-02-12T18:11:08Z"
+  },
+  {
+    "additions": 12,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Use `copy.deepcopy()` instead of direct assignment in `ZImageControlNet.from_transformer()` to prevent weight sharing between controlnet and transformer. ## Problem The `from_transformer` method was using direct assignment to co\u2026",
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13102",
+    "created_at": "2026-02-08T12:14:29Z",
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+    "state": "open",
+    "title": "fix(controlnet): Use deep copy in ZImageControlNet.from_transformer",
+    "updated_at": "2026-02-08T12:49:55Z"
+  },
+  {
+    "additions": 452,
+    "author": "yiyixuxu",
+    "author_association": "MEMBER",
+    "body_excerpt": "i updated all the modular docs except the auto pipeline will update after https://github.com/huggingface/diffusers/pull/13028",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13100",
+    "created_at": "2026-02-08T09:35:06Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13100/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13100",
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+    "number": 13100,
+    "review_comments_count": 21,
+    "state": "closed",
+    "title": "[Modular] update doc for `ModularPipeline`",
+    "updated_at": "2026-02-14T21:44:51Z"
+  },
+  {
+    "additions": 55,
+    "author": "DN6",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? Expand Custom Code loading section for AutoModel <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set,\u2026",
+    "changed_files": 1,
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13099",
+    "created_at": "2026-02-08T08:36:16Z",
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+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13099/files",
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+    "merged": true,
+    "number": 13099,
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+    "state": "closed",
+    "title": "[Docs] Add guide for AutoModel with custom code",
+    "updated_at": "2026-02-10T06:49:45Z"
+  },
+  {
+    "additions": 882,
+    "author": "AlanPonnachan",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "Fixes #13070 ## Description This PR adds the **JiT (Just image Transformer)** model and pipeline for pixel-space diffusion, as requested in issue #13070. JiT is a diffusion transformer that operates directly on pixel patches without a VAE,\u2026",
+    "changed_files": 10,
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13098",
+    "created_at": "2026-02-08T08:19:13Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13098/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13098",
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+    "number": 13098,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "Add JiT model and pipeline",
+    "updated_at": "2026-03-24T17:26:47Z"
+  },
+  {
+    "additions": 891,
+    "author": "yaoqih",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? This PR adds **modular area composition routing** for QwenImage in a way that follows the modular diffusers philosophy: compose new blocks instead of mutating existing default workflows. ### Summary of changes - Add\u2026",
+    "changed_files": 5,
+    "cluster_id": null,
+    "cluster_ids": [],
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+    "comments_count": 0,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13097",
+    "created_at": "2026-02-08T07:25:45Z",
+    "deletions": 6,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13097/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13097",
+    "labels": [],
+    "merged": false,
+    "number": 13097,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "feat(qwenimage): add modular area composition denoise route",
+    "updated_at": "2026-02-08T07:26:29Z"
+  },
+  {
+    "additions": 3701,
+    "author": "ChuxiJ",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? This PR adds the **ACE-Step 1.5** pipeline to Diffusers \u2014 a text-to-music generation model that produces high-quality stereo music with lyrics at 48kHz from text prompts. ### New Components - **`AceStepDiTModel`**\u2026",
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+    "comments_count": 2,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13095",
+    "created_at": "2026-02-07T11:24:08Z",
+    "deletions": 0,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13095/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13095",
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+    "merged": false,
+    "number": 13095,
+    "review_comments_count": 27,
+    "state": "open",
+    "title": "Add ACE-Step pipeline for text-to-music generation",
+    "updated_at": "2026-03-27T01:28:59Z"
+  },
+  {
+    "additions": 4,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Fix incorrect `do_classifier_free_guidance` threshold check in Z-Image pipeline. ## Problem Z-Image uses a non-standard CFG formula: ```python pred = pos + guidance_scale * (pos - neg) ``` Unlike the standard formula: ```python\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13094",
+    "created_at": "2026-02-07T08:08:38Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13094/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13094",
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+    "merged": false,
+    "number": 13094,
+    "review_comments_count": 0,
+    "state": "open",
+    "title": "fix: correct Z-Image guidance scale threshold from > 1 to > 0",
+    "updated_at": "2026-02-13T20:39:47Z"
+  },
+  {
+    "additions": 6,
+    "author": "Mr-Neutr0n",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "## Summary Add backward compatibility check for `torch.accelerator.current_accelerator()` which only exists in PyTorch 2.6+. ## Problem `gather_size_by_comm()` in `_modeling_parallel.py` uses `torch.accelerator.current_accelerator()` witho\u2026",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13093",
+    "created_at": "2026-02-07T08:06:58Z",
+    "deletions": 1,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13093/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13093",
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+    "merged": false,
+    "number": 13093,
+    "review_comments_count": 1,
+    "state": "open",
+    "title": "fix: add PyTorch version check for torch.accelerator in gather_size_by_comm",
+    "updated_at": "2026-02-13T13:44:17Z"
+  },
+  {
+    "additions": 83,
+    "author": "JaredforReal",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "### What does this PR do? Previously, `GlmImagePipeline.check_inputs()` enforced mutual exclusion between `prompt` and `prior_token_ids`, raising a `ValueError` if both were provided. This was unnecessarily restrictive \u2014 there is a valid u\u2026",
+    "changed_files": 2,
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+    "comments_count": 4,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13092",
+    "created_at": "2026-02-07T03:48:51Z",
+    "deletions": 8,
+    "draft": false,
+    "files_url": "https://github.com/huggingface/diffusers/pull/13092/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13092",
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+    "merged": true,
+    "number": 13092,
+    "review_comments_count": 3,
+    "state": "closed",
+    "title": "[Fix]Allow `prompt` and `prior_token_ids` to be provided simultaneously in `GlmImagePipeline`",
+    "updated_at": "2026-02-11T18:29:53Z"
+  },
+  {
+    "additions": 12,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "add output_type to the vae decode for Wan Models and the mellon template",
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+    "comments_count": 1,
+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13091",
+    "created_at": "2026-02-06T21:29:09Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13091/files",
+    "html_url": "https://github.com/huggingface/diffusers/pull/13091",
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+    "merged": true,
+    "number": 13091,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "add output type",
+    "updated_at": "2026-02-07T20:41:55Z"
+  },
+  {
+    "additions": 869,
+    "author": "asomoza",
+    "author_association": "MEMBER",
+    "body_excerpt": "add output_type to the vae decode for Wan Models and the mellon template",
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+    "conversation_url": "https://github.com/huggingface/diffusers/pull/13090",
+    "created_at": "2026-02-06T21:24:56Z",
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+    "files_url": "https://github.com/huggingface/diffusers/pull/13090/files",
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+    "merged": false,
+    "number": 13090,
+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "[Modular] Wan output type",
+    "updated_at": "2026-02-07T20:41:55Z"
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+    "author": "yaoqih",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? This PR adds Normalized Attention Guidance (NAG) support for QwenImage modular pipelines. Implation of https://chendaryen.github.io/NAG.github.io/ https://arxiv.org/abs/2505.21179 ### Main changes - Add a new guide\u2026",
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+    "state": "open",
+    "title": "Add NAG guider and update QwenImage modular pipeline",
+    "updated_at": "2026-02-06T13:40:53Z"
+  }
+]