- 13 Nov, 2025 3 commits
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kaixuanliu authored
* adjust unit tests for wan pipeline Signed-off-by:
Liu, Kaixuan <kaixuan.liu@intel.com> * update code Signed-off-by:
Sayak Paul <spsayakpaul@gmail.com> Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com>
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dg845 authored
--------- Co-authored-by:
Tolga Cangöz <mtcangoz@gmail.com> Co-authored-by:
Tolga Cangöz <46008593+tolgacangoz@users.noreply.github.com>
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David El Malih authored
* Improve docstrings and type hints in scheduling_amused.py - Add complete type hints for helper functions (gumbel_noise, mask_by_random_topk) - Enhance AmusedSchedulerOutput with proper Optional typing - Add comprehensive docstrings for AmusedScheduler class - Improve __init__, set_timesteps, step, and add_noise methods - Fix type hints to match documentation conventions - All changes follow project standards from issue #9567 * Enhance type hints and docstrings in scheduling_amused.py - Update type hints for `prev_sample` and `pred_original_sample` in `AmusedSchedulerOutput` to reflect their tensor types. - Improve docstring for `gumbel_noise` to specify the output tensor's dtype and device. - Refine `AmusedScheduler` class documentation, including detailed descriptions of the masking schedule and temperature parameters. - Adjust type hints in `set_timesteps` and `step` methods for better clarity and consistency. * Apply review feedback on scheduling_amused.py - Replace generic [Amused] reference with specific [`AmusedPipeline`] reference for consistency with project documentation conventions
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- 12 Nov, 2025 7 commits
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YiYi Xu authored
* add * fix
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Steven Liu authored
remove commit Removed specific commit reference for installation instructions. Co-authored-by:
Álvaro Somoza <asomoza@users.noreply.github.com>
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Quentin Gallouédec authored
* Update pipeline_skyreels_v2_i2v.py * Update README.md * Update torch_utils.py * Update torch_utils.py * Update guider_utils.py * Update pipeline_ltx.py * Update pipeline_bria.py * Apply suggestion from @qgallouedec * Update autoencoder_kl_qwenimage.py * Update pipeline_prx.py * Update pipeline_wan_vace.py * Update pipeline_skyreels_v2.py * Update pipeline_skyreels_v2_diffusion_forcing.py * Update pipeline_bria_fibo.py * Update pipeline_skyreels_v2_diffusion_forcing_i2v.py * Update pipeline_ltx_condition.py * Update pipeline_ltx_image2video.py * Update regional_prompting_stable_diffusion.py * make style * style * style
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Sayak Paul authored
* add tests for qwenimage modular. * qwenimage edit. * qwenimage edit plus. * empty * align with the latest structure * up * up * reason * up * fix multiple issues. * up * up * fix * up * make it similar to the original pipeline.
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YiYi Xu authored
* fix * fix
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a120092009 authored
* Add MLU Support. * fix comment. * rename is_mlu_available to is_torch_mlu_available * Apply style fixes --------- Co-authored-by:github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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YiYi Xu authored
* fix * remoce cocpies instead
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- 11 Nov, 2025 2 commits
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Charchit Sharma authored
* Fix rotary positional embedding dimension mismatch in Wan and SkyReels V2 transformers - Store t_dim, h_dim, w_dim as instance variables in WanRotaryPosEmbed and SkyReelsV2RotaryPosEmbed __init__ - Use stored dimensions in forward() instead of recalculating with different formula - Fixes inconsistency between init (using // 6) and forward (using // 3) - Ensures split_sizes matches the dimensions used to create rotary embeddings * quality fix --------- Co-authored-by:Charchit Sharma <charchitsharma@A-267.local>
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Dhruv Nair authored
* update * Update tests/testing_utils.py Co-authored-by:
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- 10 Nov, 2025 8 commits
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Cesaryuan authored
Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples (#12544) * Fix: update type hints for Tuple parameters across multiple files to support variable-length tuples * Apply style fixes --------- Co-authored-by: -
Dhruv Nair authored
update Co-authored-by:YiYi Xu <yixu310@gmail.com>
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Dhruv Nair authored
* update * update * update * update * update * update * update * update * update * update * update * update --------- Co-authored-by: -
Yashwant Bezawada authored
The function load_model_dict_into_meta was moved from modeling_utils.py to model_loading_utils.py but the imports in the conversion scripts were not updated, causing ImportError when running these scripts. This fixes the import in 6 conversion scripts: - scripts/convert_sd3_to_diffusers.py - scripts/convert_stable_cascade_lite.py - scripts/convert_stable_cascade.py - scripts/convert_stable_audio.py - scripts/convert_sana_to_diffusers.py - scripts/convert_sana_controlnet_to_diffusers.py Fixes #12606
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Dhruv Nair authored
update
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YiYi Xu authored
* update, remove intermediaate_inputs * support image2video * revert dynamic steps to simplify * refactor vae encoder block * support flf2video! * add support for wan2.2 14B * style * Apply suggestions from code review * input dynamic step -> additiional input step * up * fix init * update dtype
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Jay Wu authored
* add ChronoEdit * add ref to original function & remove wan2.2 logics * Update src/diffusers/pipelines/chronoedit/pipeline_chronoedit.py Co-authored-by:
wjay <wjay@nvidia.com> Co-authored-by:
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Dhruv Nair authored
update
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- 07 Nov, 2025 3 commits
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Wang, Yi authored
* fix the crash in Wan-AI/Wan2.2-TI2V-5B-Diffusers if CP is enabled Signed-off-by:
Wang, Yi <yi.a.wang@intel.com> * address review comment Signed-off-by:
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DefTruth authored
* feat: enable attention dispatch for huanyuan video * feat: enable attention dispatch for huanyuan video
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Dhruv Nair authored
* update * update --------- Co-authored-by:
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- 06 Nov, 2025 4 commits
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Mohammad Sadegh Salehi authored
* Fix overflow in rgblike_to_depthmap by safe dtype casting (torch & NumPy) * Fix: store original dtype and cast back after safe computation * Apply style fixes --------- Co-authored-by: -
Junsong Chen authored
* 1. add `SanaVideoTransformer3DModel` in transformer_sana_video.py 2. add `SanaVideoPipeline` in pipeline_sana_video.py 3. add all code we need for import `SanaVideoPipeline` * add a sample about how to use sana-video; * code update; * update hf model path; * update code; * sana-video can run now; * 1. add aspect ratio in sana-video-pipeline; 2. add reshape function in sana-video-processor; 3. fix convert pth to safetensor bugs; * default to use `use_resolution_binning`; * make style; * remove unused code; * Update src/diffusers/models/transformers/transformer_sana_video.py Co-authored-by:
dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/models/transformers/transformer_sana_video.py Co-authored-by:
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Joseph Turian authored
Add optional precision-preserving preprocessing for examples/unconditional_image_generation/train_unconditional.py (#12596) * Add optional precision-preserving preprocessing * Document decoder caveat for precision flag --------- Co-authored-by: -
Dhruv Nair authored
* update * update * update * update --------- Co-authored-by:
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- 04 Nov, 2025 3 commits
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Linoy Tsaban authored
* fix bug when offload and cache_latents both enabled * fix
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Sayak Paul authored
sort doc
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Lev Novitskiy authored
* add transformer pipeline first version * updates * fix 5sec generation * rewrite Kandinsky5T2VPipeline to diffusers style * add multiprompt support * remove prints in pipeline * add nabla attention * Wrap Transformer in Diffusers style * fix license * fix prompt type * add gradient checkpointing and peft support * add usage example * Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py Co-authored-by:
Charles <charles@huggingface.co> * more * Apply suggestions from code review * add lora loader doc * add compiled Nabla Attention * all needed changes for 10 sec models are added! * add docs * Apply style fixes * update docs * add kandinsky5 to toctree * add tests * fix tests * Apply style fixes * update tests * minor docs refactoring * refactor Kandinsky 5.0 Vide docs * Update docs/source/en/_toctree.yml --------- Co-authored-by:
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- 03 Nov, 2025 2 commits
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Wang, Yi authored
* ulysses enabling in native attention path Signed-off-by:
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YiYi Xu authored
pass hub_kwargs to load_config
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- 02 Nov, 2025 3 commits
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Sayak Paul authored
* start flux modular tests. * up * add kontext * up * up * up * Update src/diffusers/modular_pipelines/flux/denoise.py Co-authored-by:
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YiYi Xu authored
better warn message
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Dhruv Nair authored
update
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- 31 Oct, 2025 2 commits
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Friedrich Schöller authored
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Dhruv Nair authored
update Co-authored-by:
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- 30 Oct, 2025 2 commits
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Dhruv Nair authored
update
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Pavle Padjin authored
* Changing the way we infer dtype to avoid force evaluation of lazy tensors * changing way to infer dtype to ensure type consistency * more robust infering of dtype * removing the upscale dtype entirely
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- 28 Oct, 2025 1 commit
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galbria authored
* Bria FIBO pipeline * style fixs * fix CR * Refactor BriaFibo classes and update pipeline parameters - Updated BriaFiboAttnProcessor and BriaFiboAttention classes to reflect changes from Flux equivalents. - Modified the _unpack_latents method in BriaFiboPipeline to improve clarity. - Increased the default max_sequence_length to 3000 and added a new optional parameter do_patching. - Cleaned up test_pipeline_bria_fibo.py by removing unused imports and skipping unsupported tests. * edit the docs of FIBO * Remove unused BriaFibo imports and update CPU offload method in BriaFiboPipeline * Refactor FIBO classes to BriaFibo naming convention - Updated class names from FIBO to BriaFibo for consistency across the module. - Modified instances of FIBOEmbedND, FIBOTimesteps, TextProjection, and TimestepProjEmbeddings to reflect the new naming. - Ensured all references in the BriaFiboTransformer2DModel are updated accordingly. * Add BriaFiboTransformer2DModel import to transformers module * Remove unused BriaFibo imports from modular pipelines and add BriaFiboTransformer2DModel and BriaFiboPipeline classes to dummy objects for enhanced compatibility with torch and transformers. * Update BriaFibo classes with copied documentation and fix import typo in pipeline module - Added documentation comments indicating the source of copied code in BriaFiboTransformerBlock and _pack_latents methods. - Corrected the import statement for BriaFiboPipeline in the pipelines module. * Remove unused BriaFibo imports from __init__.py to streamline modular pipelines. * Refactor documentation comments in BriaFibo classes to indicate inspiration from existing implementations - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to reflect that the code is inspired by other modules rather than copied. - Enhanced clarity on the origins of the methods to maintain proper attribution. * change Inspired by to Based on * add reference link and fix trailing whitespace * Add BriaFiboTransformer2DModel documentation and update comments in BriaFibo classes - Introduced a new documentation file for BriaFiboTransformer2DModel. - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to clarify the origins of the code, indicating copied sources for better attribution. --------- Co-authored-by:
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