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data/clusters.json

@@ -1,1147 +1,178 @@
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+    "title": "train_dreambooth_lora.py -- ValueError: Attempting to unscale FP16 gradients caused by \"--validation_prompt\" param."
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@@ -618,7 +618,7 @@
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@@ -632,13 +632,13 @@
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@@ -685,13 +685,13 @@
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@@ -702,7 +702,7 @@
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     "summary": "4 open PRs share weighted file overlap around `examples/dreambooth/train_dreambooth_lora_flux2.py`, `examples/dreambooth/train_dreambooth_lora_flux2_klein.py`, `examples/dreambooth/train_dreambooth_lora_flux2_klein_img2img.py`; representative PR #13307.",
     "title": "Scope: fix(dreambooth): batch size mismatch with --with_prior_preservation in flux2 scripts"
   },
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-      "jscaldwell55",
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-      13136,
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-    "representative_url": "https://github.com/huggingface/diffusers/pull/13102",
-    "shared_directories": [
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-    "summary": "3 open PRs share weighted file overlap around `src/diffusers/models/controlnets/controlnet_z_image.py`; representative PR #13102.",
-    "title": "Scope: fix(controlnet): Use deep copy in ZImageControlNet.from_transformer"
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       "sayakpaul"
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-    "summary": "5 open PRs share weighted file overlap around `src/diffusers/models/attention_dispatch.py`; representative PR #12851.",
+    "summary": "6 open PRs share weighted file overlap around `src/diffusers/models/attention_dispatch.py`; representative PR #12851.",
     "title": "Scope: refactor: replace fa3 wrapper with original fa3 in attention backends registry"
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+    "summary": "3 open PRs share weighted file overlap around `src/diffusers/models/controlnets/controlnet_z_image.py`; representative PR #13102.",
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+        "title": "[Do Not Merge] Remove shared memory restriction on containers for Pipeline Tests",
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+      ".github"
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-    "summary": "2 open PRs share weighted file overlap around `examples/dreambooth/train_dreambooth_lora_qwen_image.py`; representative PR #13387.",
-    "title": "Scope: Handle prompt embedding concat in Qwen dreambooth example"
+    "shared_filenames": [],
+    "summary": "3 open PRs cluster in `.github/workflows`, `.github` with similar change breadth; representative PR #13438.",
+    "title": "Scope: add PR fork workable"
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-      "src/diffusers/modular_pipelines/qwenimage/modular_blocks_qwenimage.py"
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-    "title": "Scope: Add NAG guider and update QwenImage modular pipeline"
+    "summary": "2 open PRs share weighted file overlap around `tests/models/testing_utils/quantization.py`; representative PR #13116.",
+    "title": "Scope: [tests] tests for `modules_to_not_convert`"
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     "authors": [
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@@ -2129,7 +1997,7 @@
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@@ -2187,13 +2055,13 @@
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@@ -2223,13 +2091,13 @@
         "shared_filenames": [
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         "shared_filenames": [
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@@ -2319,7 +2187,7 @@
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@@ -2331,13 +2199,13 @@
         "shared_filenames": [
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@@ -2349,13 +2217,13 @@
         "shared_filenames": [
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         "concentration_similarity": 0.714,
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@@ -2367,7 +2235,7 @@
         "shared_filenames": [
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@@ -2682,184 +2550,6 @@
     "summary": "5 open PRs share weighted file overlap around `src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_plus.py`; representative PR #12467.",
     "title": "Scope: [FIX] Fixes QwenImagePipeline batch issue"
   },
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-    ],
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-    "summary": "4 open PRs share weighted file overlap around `docs/source/en/training/text2image.md`; representative PR #10824.",
-    "title": "Scope: Update text2image.md"
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@@ -2970,7 +2660,7 @@
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@@ -3040,123 +2730,6 @@
     "summary": "4 open PRs share weighted file overlap around `src/diffusers/loaders/single_file_model.py`, `src/diffusers/models/modeling_utils.py`; representative PR #12153.",
     "title": "Scope: `no_init_weights` in `from_pretrained` should be optional"
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-    "summary": "3 open PRs share weighted file overlap around `src/diffusers/pipelines/pipeline_utils.py`; representative PR #13103.",
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+        "deletions": 26,
+        "draft": false,
+        "files_url": "https://github.com/huggingface/diffusers/pull/6978/files",
+        "html_url": "https://github.com/huggingface/diffusers/pull/6978",
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+        "state": "open",
+        "title": "Update train_dreambooth_lora_sd15_advanced.py",
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-        "html_url": "https://github.com/huggingface/diffusers/pull/13075",
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         "state": "open",
-        "title": "[Context Parallel] fix: support PyTorch < 2.6 in distributed gather",
-        "updated_at": "2026-02-04T11:41:08Z"
+        "title": "[Dreambooth LoRA training] Add `edm` tags + scheduler type to model card ",
+        "updated_at": "2024-09-14T15:17:13Z"
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+  },
+  {
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+    "author": "Ricardo-M-L",
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+    "body_excerpt": "## Summary Fixes two functional bugs in the experimental guiders module, both introduced in #11311 (Modular Diffusers Guiders): ### Bug 1: `TangentialClassifierFreeGuidance.is_conditional` \u2014 AttributeError The `is_conditional` property ref\u2026",
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+    "author": "DN6",
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+    "body_excerpt": "# What does this PR do? Narrow scoped token to just access inference providers when labelling issues. <!-- 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 n\u2026",
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+  },
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     "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",
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     "author": "Xyc2016",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
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     "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",
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     "author": "chenyangzhu1",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
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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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@@ -626,12 +933,12 @@
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     "title": "fix(qwen-image dreambooth): correct prompt embed repeats when using `--with_prior_preservation`",
-    "updated_at": "2026-04-08T06:27:11Z"
+    "updated_at": "2026-04-10T04:47:06Z"
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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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     "author": "akshan-main",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
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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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     "author": "chenyangzhu1",
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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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     "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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@@ -1457,11 +1761,9 @@
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@@ -1513,11 +1813,9 @@
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     "body_excerpt": "# What does this PR do? This PR adds AWS Neuron (Trainium/Inferentia) as an officially supported compute backend in Diffusers, on par with existing backends like CUDA, MPS, XPU, and MLU. **Changes** - import_utils.py \u2014 adds is_torch_neuron\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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-    "updated_at": "2026-04-02T12:46:57Z"
+    "updated_at": "2026-04-10T05:06:04Z"
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@@ -5994,437 +6304,5 @@
     "state": "closed",
     "title": "Cosmos Transfer2.5 Auto-Regressive Inference Pipeline",
     "updated_at": "2026-02-26T00:42:29Z"
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-    "author": "asomoza",
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-    "body_excerpt": "# What does this PR do? Removes `ftfy` imports before check. Fixes #13112 @yiyixuxu",
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-    "author": "Mr-Neutr0n",
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-    "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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-    "author": "Mr-Neutr0n",
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-    "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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-    "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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-    "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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-    "author": "Mr-Neutr0n",
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-    "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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-    "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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-    "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",
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-    "title": "[Docs] Add guide for AutoModel with custom code",
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-    "author": "AlanPonnachan",
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-    "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",
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-    "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",
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-    "author": "ChuxiJ",
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-    "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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-    "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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-    "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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-    "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",
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