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data/clusters.json

@@ -1 +1,1132 @@
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data/prs.json

@@ -73,23 +73,23 @@
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     "body_excerpt": "## What this PR does When a user passes pre-computed `prompt_embeds` (or `negative_prompt_embeds`) alongside `num_images_per_prompt > 1`, `ErnieImagePipeline.__call__` did not replicate the provided embeddings \u2014 the embeds list kept its or\u2026",
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@@ -97,6 +97,7 @@
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       "size/S",
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@@ -105,7 +106,7 @@
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     "title": "Fix ErnieImagePipeline pre-computed prompt_embeds + num_images_per_prompt shape mismatch",
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     "author": "Ricardo-M-L",
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@@ -241,7 +242,7 @@
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@@ -519,9 +524,11 @@
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@@ -600,9 +609,11 @@
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     "conversation_url": "https://github.com/huggingface/diffusers/pull/13510",
     "created_at": "2026-04-20T12:59:16Z",
@@ -710,9 +725,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## What does this PR do? Fixes the off-by-one in the \\`--text_encoder_out_layers\\` CLI default of \\`examples/dreambooth/train_dreambooth_lora_flux2_klein.py\\`: the script was defaulting to \\`[10, 20, 30]\\` (the Flux 2 **non-Klein** default\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13445-3",
+    "cluster_ids": [
+      "cluster-13445-3"
+    ],
+    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/diffusers/pull/13509",
     "created_at": "2026-04-20T12:53:59Z",
@@ -1507,9 +1524,11 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "## What does this PR do? Fixes #13462 This PR resolves an issue where profiling decorators wrap bound methods, capturing the original instance and breaking instance isolation when components are deep-copied. Previously, decorating a bound\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13462-3",
+    "cluster_ids": [
+      "cluster-13462-3"
+    ],
+    "cluster_role": "canonical",
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     "conversation_url": "https://github.com/huggingface/diffusers/pull/13471",
     "created_at": "2026-04-14T18:39:45Z",
@@ -1587,9 +1606,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "Fixes #13462 ## Root cause `annotate_pipeline` called `setattr(component, method_name, annotate(method, label))` where `method` is a **bound method** (retrieved via `getattr(component, method_name)`). The resulting wrapper is a plain funct\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13462-3",
+    "cluster_ids": [
+      "cluster-13462-3"
+    ],
+    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/diffusers/pull/13468",
     "created_at": "2026-04-14T06:44:25Z",
@@ -1641,9 +1662,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## What does this PR do? Adds a monotonicity check to `LTXEulerAncestralRFScheduler.set_timesteps()` when an explicit sigma schedule is provided. **Bug:** When `sigmas` are supplied explicitly (ComfyUI-style), `set_timesteps()` accepts non\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13411-3",
+    "cluster_ids": [
+      "cluster-13411-3"
+    ],
+    "cluster_role": "canonical",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13466",
     "created_at": "2026-04-14T04:16:25Z",
@@ -1917,9 +1940,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## Problem The `--text_encoder_out_layers` CLI argument in `train_dreambooth_lora_flux2_klein.py` defaults to `[10, 20, 30]`, but the pipeline implementation (`pipeline_flux2_klein.py`) uses `(9, 18, 27)`. This off-by-one mismatch causes t\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13445-3",
+    "cluster_ids": [
+      "cluster-13445-3"
+    ],
+    "cluster_role": "canonical",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13455",
     "created_at": "2026-04-13T06:56:28Z",
@@ -2052,9 +2077,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## Summary - Fix all 9 QwenImage pipeline variants where CFG is silently disabled when passing `negative_prompt_embeds` with `None` mask - `encode_prompt()` converts all-ones masks to `None` as an optimization (line 266-267), but `has_neg_\u2026",
     "changed_files": 9,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13377-3",
+    "cluster_ids": [
+      "cluster-13377-3"
+    ],
+    "cluster_role": "member",
     "comments_count": 3,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13449",
     "created_at": "2026-04-12T15:32:31Z",
@@ -2330,9 +2357,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## Summary - Adds `scripts/convert_cogvideox_to_original.py`, a reverse conversion script that converts CogVideoX models (transformer and VAE) from diffusers format back to the original CogVideo checkpoint format - Reverses all weight name\u2026",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-10076-3",
+    "cluster_ids": [
+      "cluster-10076-3"
+    ],
+    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/diffusers/pull/13435",
     "created_at": "2026-04-08T17:38:45Z",
@@ -2640,9 +2669,11 @@
     "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,
+    "cluster_id": "cluster-13292-3",
+    "cluster_ids": [
+      "cluster-13292-3"
+    ],
+    "cluster_role": "canonical",
     "comments_count": 4,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13415",
     "created_at": "2026-04-04T18:08:44Z",
@@ -2715,9 +2746,11 @@
     "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,
+    "cluster_id": "cluster-13411-3",
+    "cluster_ids": [
+      "cluster-13411-3"
+    ],
+    "cluster_role": "member",
     "comments_count": 3,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13412",
     "created_at": "2026-04-04T15:49:39Z",
@@ -3346,9 +3379,11 @@
     "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",
     "changed_files": 16,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13377-3",
+    "cluster_ids": [
+      "cluster-13377-3"
+    ],
+    "cluster_role": "canonical",
     "comments_count": 11,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13379",
     "created_at": "2026-04-01T13:12:53Z",
@@ -4746,9 +4781,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "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",
     "changed_files": 3,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-13292-3",
+    "cluster_ids": [
+      "cluster-13292-3"
+    ],
+    "cluster_role": "member",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13307",
     "created_at": "2026-03-22T09:13:05Z",
@@ -5291,9 +5328,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "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",
     "changed_files": 17,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-1246-22",
+    "cluster_ids": [
+      "cluster-1246-22"
+    ],
+    "cluster_role": "member",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13273",
     "created_at": "2026-03-16T14:13:58Z",
@@ -5315,9 +5354,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "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",
     "changed_files": 2,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-12913-3",
+    "cluster_ids": [
+      "cluster-12913-3"
+    ],
+    "cluster_role": "member",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13272",
     "created_at": "2026-03-16T14:10:56Z",
@@ -5819,9 +5860,11 @@
     "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,
+    "cluster_id": "cluster-13243-3",
+    "cluster_ids": [
+      "cluster-13243-3"
+    ],
+    "cluster_role": "member",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13246",
     "created_at": "2026-03-10T10:45:14Z",
@@ -5915,9 +5958,11 @@
     "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,
+    "cluster_id": "cluster-12771-4",
+    "cluster_ids": [
+      "cluster-12771-4"
+    ],
+    "cluster_role": "member",
     "comments_count": 0,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13240",
     "created_at": "2026-03-10T02:02:34Z",
@@ -5939,9 +5984,11 @@
     "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",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-12771-4",
+    "cluster_ids": [
+      "cluster-12771-4"
+    ],
+    "cluster_role": "member",
     "comments_count": 1,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13239",
     "created_at": "2026-03-10T01:56:07Z",
@@ -7107,9 +7154,11 @@
     "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",
     "changed_files": 1,
-    "cluster_id": null,
-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-12905-3",
+    "cluster_ids": [
+      "cluster-12905-3"
+    ],
+    "cluster_role": "canonical",
     "comments_count": 1,
     "conversation_url": "https://github.com/huggingface/diffusers/pull/13183",
     "created_at": "2026-02-24T12:11:43Z",

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   "pr_count": 288,
-  "pr_scope_available": false,
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