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  1. 01 Dec, 2025 1 commit
  3. 29 Nov, 2025 1 commit
  5. 28 Nov, 2025 1 commit
  7. 27 Nov, 2025 2 commits
  9. 26 Nov, 2025 2 commits
    • Jerry Wu's avatar
      Support unittest for Z-image ⚡️ (#12715) · e6d46123
      Jerry Wu authored 
      

* Add Support for Z-Image.

* Reformatting with make style, black & isort.

* Remove init, Modify import utils, Merge forward in transformers block, Remove once func in pipeline.

* modified main model forward, freqs_cis left

* refactored to add B dim

* fixed stack issue

* fixed modulation bug

* fixed modulation bug

* fix bug

* remove value_from_time_aware_config

* styling

* Fix neg embed and devide / bug; Reuse pad zero tensor; Turn cat -> repeat; Add hint for attn processor.

* Replace padding with pad_sequence; Add gradient checkpointing.

* Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that.

* Fix Docstring and Make Style.

* Revert "Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that."

This reverts commit fbf26b7ed11d55146103c97740bad4a5f91744e0.

* update z-image docstring

* Revert attention dispatcher

* update z-image docstring

* styling

* Recover attention_dispatch.py with its origin impl, later would special commit for fa3 compatibility.

* Fix prev bug, and support for prompt_embeds pass in args after prompt pre-encode as List of torch Tensor.

* Remove einop dependency.

* remove redundant imports & make fix-copies

* fix import

* Support for num_images_per_prompt>1; Remove redundant unquote variables.

* Fix bugs for num_images_per_prompt with actual batch.

* Add unit tests for Z-Image.

* Refine unitest and skip for cases needed separate test env; Fix compatibility with unitest in model, mostly precision formating.

* Add clean env for test_save_load_float16 separ test; Add Note; Styling.

* Update dtype mentioned by yiyi.

---------
Co-authored-by: default avatarliudongyang <liudongyang0114@gmail.com>
      e6d46123
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_dpmsolver_multistep.py (#12710) · a88a7b4f
      David El Malih authored 
      * Improve docstrings and type hints in multiple diffusion schedulers

* docs: update Imagen Video paper link to Hugging Face Papers.
      a88a7b4f
  11. 25 Nov, 2025 2 commits
    • Sayak Paul's avatar
      let's go Flux2 🚀 (#12711) · 5ffb73d4
      Sayak Paul authored 
      

* add vae

* Initial commit for Flux 2 Transformer implementation

* add pipeline part

* small edits to the pipeline and conversion

* update conversion script

* fix

* up up

* finish pipeline

* Remove Flux IP Adapter logic for now

* Remove deprecated 3D id logic

* Remove ControlNet logic for now

* Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block

* update pipeline

* Don't use biases for input projs and output AdaNorm

* up

* Remove bias for double stream block text QKV projections

* Add script to convert Flux 2 transformer to diffusers

* make style and make quality

* fix a few things.

* allow sft files to go.

* fix image processor

* fix batch

* style a bit

* Fix some bugs in Flux 2 transformer implementation

* Fix dummy input preparation and fix some test bugs

* fix dtype casting in timestep guidance module.

* resolve conflicts.,

* remove ip adapter stuff.

* Fix Flux 2 transformer consistency test

* Fix bug in Flux2TransformerBlock (double stream block)

* Get remaining Flux 2 transformer tests passing

* make style; make quality; make fix-copies

* remove stuff.

* fix type annotaton.

* remove unneeded stuff from tests

* tests

* up

* up

* add sf support

* Remove unused IP Adapter and ControlNet logic from transformer (#9)

* copied from

* Apply suggestions from code review
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
Co-authored-by: default avatarapolinário <joaopaulo.passos@gmail.com>

* up

* up

* up

* up

* up

* Refactor Flux2Attention into separate classes for double stream and single stream attention

* Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion

* Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False

* Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion

* Address review comments

* Update src/diffusers/pipelines/flux2/pipeline_flux2.py
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

* up

* Remove maybe_allow_in_graph decorators for Flux 2 transformer blocks (#12)

* up

* support ostris loras. (#13)

* up

* update schdule

* up

* up (#17)

* add training scripts (#16)

* add training scripts
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>

* model cpu offload in validation.

* add flux.2 readme

* add img2img and tests

* cpu offload in log validation

* Apply suggestions from code review

* fix

* up

* fixes

* remove i2i training tests for now.

---------
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: default avatarlinoytsaban <linoy@huggingface.co>

* up

---------
Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
Co-authored-by: default avatarDaniel Gu <dgu8957@gmail.com>
Co-authored-by: default avataryiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal>
Co-authored-by: default avatardg845 <58458699+dg845@users.noreply.github.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: default avatarapolinário <joaopaulo.passos@gmail.com>
Co-authored-by: default avataryiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: default avatarlinoytsaban <linoy@huggingface.co>
      5ffb73d4
    • Jerry Wu's avatar
      Add Support for Z-Image Series (#12703) · 4088e8a8
      Jerry Wu authored 
      

* Add Support for Z-Image.

* Reformatting with make style, black & isort.

* Remove init, Modify import utils, Merge forward in transformers block, Remove once func in pipeline.

* modified main model forward, freqs_cis left

* refactored to add B dim

* fixed stack issue

* fixed modulation bug

* fixed modulation bug

* fix bug

* remove value_from_time_aware_config

* styling

* Fix neg embed and devide / bug; Reuse pad zero tensor; Turn cat -> repeat; Add hint for attn processor.

* Replace padding with pad_sequence; Add gradient checkpointing.

* Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that.

* Fix Docstring and Make Style.

* Revert "Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that."

This reverts commit fbf26b7ed11d55146103c97740bad4a5f91744e0.

* update z-image docstring

* Revert attention dispatcher

* update z-image docstring

* styling

* Recover attention_dispatch.py with its origin impl, later would special commit for fa3 compatibility.

* Fix prev bug, and support for prompt_embeds pass in args after prompt pre-encode as List of torch Tensor.

* Remove einop dependency.

* remove redundant imports & make fix-copies

* fix import

---------
Co-authored-by: default avatarliudongyang <liudongyang0114@gmail.com>
      4088e8a8
  13. 24 Nov, 2025 3 commits
  15. 21 Nov, 2025 1 commit
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_lms_discrete.py (#12678) · 6f1042e3
      David El Malih authored 
      * Enhance type hints and docstrings in LMSDiscreteScheduler class

Updated type hints for function parameters and return types to improve code clarity and maintainability. Enhanced docstrings for several methods, providing clearer descriptions of their functionality and expected arguments. Notable changes include specifying Literal types for certain parameters and ensuring consistent return type annotations across the class.

* docs: Add specific paper reference to `_convert_to_karras` docstring.

* Refactor `_convert_to_karras` docstring in DPMSolverSDEScheduler to include detailed descriptions and a specific paper reference, enhancing clarity and documentation consistency.
      6f1042e3
  17. 19 Nov, 2025 2 commits
  19. 17 Nov, 2025 3 commits
  21. 15 Nov, 2025 1 commit
  23. 14 Nov, 2025 1 commit
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_euler_discrete.py (#12654) · 63dd6017
      David El Malih authored 
      * refactor: enhance type hints and documentation in EulerDiscreteScheduler

Updated type hints for function parameters and return types in the EulerDiscreteScheduler class to improve code clarity and maintainability. Enhanced docstrings for several methods to provide clearer descriptions of their functionality and expected arguments. This includes specifying Literal types for certain parameters and ensuring consistent return type annotations across the class.

* refactor: enhance type hints and documentation across multiple schedulers

Updated type hints and improved docstrings in various scheduler classes, including CMStochasticIterativeScheduler, CosineDPMSolverMultistepScheduler, and others. This includes specifying parameter types, return types, and providing clearer descriptions of method functionalities. Notable changes include the addition of default values in the begin_index argument and enhanced explanations for noise addition methods. These improvements aim to enhance code clarity and maintainability across the scheduling module.

* refactor: update docstrings to clarify noise schedule construction

Revised docstrings across multiple scheduler classes to enhance clarity regarding the construction of noise schedules. Updated references to relevant papers, ensuring accurate citations for the methodologies used. This includes changes in DEISMultistepScheduler, DPMSolverMultistepInverseScheduler, and others, improving documentation consistency and readability.
      63dd6017
  25. 13 Nov, 2025 4 commits
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_ddpm.py (#12651) · 3c1ca869
      David El Malih authored 
      * Enhance type hints and docstrings in scheduling_ddpm.py

- Added type hints for function parameters and return types across the DDPMScheduler class and related functions.
- Improved docstrings for clarity, including detailed descriptions of parameters and return values.
- Updated the alpha_transform_type and beta_schedule parameters to use Literal types for better type safety.
- Refined the _get_variance and previous_timestep methods with comprehensive documentation.

* Refactor docstrings and type hints in scheduling_ddpm.py

- Cleaned up whitespace in the rescale_zero_terminal_snr function.
- Enhanced the variance_type parameter in the DDPMScheduler class with improved formatting for better readability.
- Updated the docstring for the compute_variance method to maintain consistency and clarity in parameter descriptions and return values.

* Apply `make fix-copies`

* Refactor type hints across multiple scheduler files

- Updated type hints to include `Literal` for improved type safety in various scheduling files.
- Ensured consistency in type hinting for parameters and return types across the affected modules.
- This change enhances code clarity and maintainability.
      3c1ca869
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_ddim.py (#12622) · 6fe4a6ff
      David El Malih authored 
      * Improve docstrings and type hints in scheduling_ddim.py

- Add complete type hints for all function parameters
- Enhance docstrings to follow project conventions
- Add missing parameter descriptions

Fixes #9567

* Enhance docstrings and type hints in scheduling_ddim.py

- Update parameter types and descriptions for clarity
- Improve explanations in method docstrings to align with project standards
- Add optional annotations for parameters where applicable

* Refine type hints and docstrings in scheduling_ddim.py

- Update parameter types to use Literal for specific string options
- Enhance docstring descriptions for clarity and consistency
- Ensure all parameters have appropriate type annotations and defaults

* Apply review feedback on scheduling_ddim.py

- Replace "prevent singularities" with "avoid numerical instability" for better clarity
- Add backticks around `alpha_bar` variable name for consistent formatting
- Convert Imagen Video paper URLs to Hugging Face papers references

* Propagate changes using 'make fix-copies'

* Add missing Literal
      6fe4a6ff
    • dg845's avatar
      [WIP]Add Wan2.2 Animate Pipeline (Continuation of #12442 by tolgacangoz) (#12526) · d8e48058
      dg845 authored 
      



---------
Co-authored-by: default avatarTolga Cangöz <mtcangoz@gmail.com>
Co-authored-by: default avatarTolga Cangöz <46008593+tolgacangoz@users.noreply.github.com>
      d8e48058
    • David El Malih's avatar
      Improve docstrings and type hints in scheduling_amused.py (#12623) · 44c31016
      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
      44c31016
  27. 12 Nov, 2025 6 commits
    • YiYi Xu's avatar
      [modular] add a check (#12628) · d6c63bb9
      YiYi Xu authored 
      * add

* fix
      d6c63bb9
    • Quentin Gallouédec's avatar
      ArXiv -> HF Papers (#12583) · f3db38c1
      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
      f3db38c1
    • Sayak Paul's avatar
      [modular] add tests for qwen modular (#12585) · f5e5f348
      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.
      f5e5f348
    • YiYi Xu's avatar
      fix dispatch_attention_fn check (#12636) · 093cd3f0
      YiYi Xu authored 
      * fix

* fix
      093cd3f0
    • a120092009's avatar
      Add MLU Support. (#12629) · aecf0c53
      a120092009 authored 
      

* Add MLU Support.

* fix comment.

* rename is_mlu_available to is_torch_mlu_available

* Apply style fixes

---------
Co-authored-by: default avatargithub-actions[bot] <github-actions[bot]@users.noreply.github.com>
      aecf0c53
    • YiYi Xu's avatar
      fix copies (#12637) · 0c758929
      YiYi Xu authored 
      * fix

* remoce cocpies instead
      0c758929
  29. 11 Nov, 2025 1 commit
  31. 10 Nov, 2025 4 commits
  33. 07 Nov, 2025 2 commits
  35. 06 Nov, 2025 3 commits