GitLab

fix table rendering readme issue in readme.

* up

Fix typos and test assertions
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* start removing flax stuff.

* add deprecation warning.

* add warning messages.

* more warnings.

* remove dockerfiles.

* remove more.

* Update src/diffusers/models/attention_flax.py
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* up

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fix: update SkyReels-V2 documentation and moving into attn dispatcher

* Refactors SkyReelsV2's attention implementation

* style

* up

* Fixes formatting in SkyReels-V2 documentation

Wraps the visual demonstration section in a Markdown code block.

This change corrects the rendering of ASCII diagrams and examples, improving the overall readability of the document.

* Docs: Condense example arrays in skyreels_v2 guide

Improves the readability of the `step_matrix` examples by replacing long sequences of repeated numbers with a more compact `value×count` notation.

This change makes the underlying data patterns in the examples easier to understand at a glance.

* Add _repeated_blocks attribute to SkyReelsV2Transformer3DModel

* Refactor rotary embedding calculations in SkyReelsV2 to separate cosine and sine frequencies

* Enhance SkyReels-V2 documentation: update model loading for GPU support and remove outdated notes

* up

* up

* Update model_id in SkyReels-V2 documentation

* up

* refactor: remove device_map parameter for model loading and add pipeline.to("cuda") for GPU allocation

* fix: update copyright year to 2025 in skyreels_v2.md

* docs: enhance parameter examples and formatting in skyreels_v2.md

* docs: update example formatting and add notes on LoRA support in skyreels_v2.md

* refactor: remove copied comments from transformer_wan in SkyReelsV2 classes

* Clean up comments in skyreels_v2.md

Removed comments about acceleration helpers and Flash Attention installation.

* Add deprecation warning for `SkyReelsV2AttnProcessor2_0` class

* NPU attention refactor for FLUX transformer

* Apply style fixes

---------
Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

[docs] typo: corrected 'compile regions' to 'compile_regions'

Fix formatting in using_peft_for_inference.md

* init

* refactor

* refresh

* fix?

* fix?

* fix

* fix-copies

* feedback

* feedback

* fix

* feedback

* up

* up

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* change wan2.1 -> wan

* up

* added test qwen image controlnet

* Apply style fixes

* added test qwenimage multicontrolnet

* Apply style fixes

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* update

* update

* apply review suggestions

* remove guider inputs

* fix tests

* Fix PyTorch 2.3.1 compatibility: add version guard for torch.library.custom_op

- Add hasattr() check for torch.library.custom_op and register_fake
- These functions were added in PyTorch 2.4, causing import failures in 2.3.1
- Both decorators and functions are now properly guarded with version checks
- Maintains backward compatibility while preserving functionality

Fixes #12195

* Use dummy decorators approach for PyTorch version compatibility

- Replace hasattr check with version string comparison
- Add no-op decorator functions for PyTorch < 2.4.0
- Follows pattern from #11941 as suggested by reviewer
- Maintains cleaner code structure without indentation changes

* Update src/diffusers/models/attention_dispatch.py

Update all the decorator usages
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Update src/diffusers/models/attention_dispatch.py
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Update src/diffusers/models/attention_dispatch.py
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Update src/diffusers/models/attention_dispatch.py
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* Move version check to top of file and use private naming as requested

* Apply style fixes

---------
Co-authored-by: Aryan <contact.aryanvs@gmail.com>
Co-authored-by: Aryan <aryan@huggingface.co>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* support qwen-image-cn-union


---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* init

* review

* refresh

* feedback

* [Docs] Add documentation for KontextInpaintingPipeline

* Update docs/source/en/api/pipelines/flux.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update kontext inpaint docs with hfoption

* Update docs/source/en/api/pipelines/flux.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/api/pipelines/flux.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Signed-off-by: YAO Matrix <matrix.yao@intel.com>

add space

Signed-off-by: SamYuan1990 <yy19902439@126.com>

remove extra validation check in determine_device_map

* Add Bria model and pipeline to diffusers

- Introduced `BriaTransformer2DModel` and `BriaPipeline` for enhanced image generation capabilities.
- Updated import structures across various modules to include the new Bria components.
- Added utility functions and output classes specific to the Bria pipeline.
- Implemented tests for the Bria pipeline to ensure functionality and output integrity.

* with working tests

* style and quality pass

* adding docs

* add to overview

* fixes from "make fix-copies"

* Refactor transformer_bria.py and pipeline_bria.py: Introduce new EmbedND class for rotary position embedding, and enhance Timestep and TimestepProjEmbeddings classes. Add utility functions for handling negative prompts and generating original sigmas in pipeline_bria.py.

* remove redundent and duplicates tests and fix bf16
slow test

* style fixes

* small doc update

* Enhance Bria 3.2 documentation and implementation

- Updated the GitHub repository link for Bria 3.2.
- Added usage instructions for the gated model access.
- Introduced the BriaTransformerBlock and BriaAttention classes to the model architecture.
- Refactored existing classes to integrate Bria-specific components, including BriaEmbedND and BriaPipeline.
- Updated the pipeline output class to reflect Bria-specific functionality.
- Adjusted test cases to align with the new Bria model structure.

* Refactor Bria model components and update documentation

- Removed outdated inference example from Bria 3.2 documentation.
- Introduced the BriaTransformerBlock class to enhance model architecture.
- Updated attention handling to use `attention_kwargs` instead of `joint_attention_kwargs`.
- Improved import structure in the Bria pipeline to handle optional dependencies.
- Adjusted test cases to reflect changes in model dtype assertions.

* Update Bria model reference in documentation to reflect new file naming convention

* Update docs/source/en/_toctree.yml

* Refactor BriaPipeline to inherit from DiffusionPipeline instead of FluxPipeline, updating imports accordingly.

* move the __call__ func to the end of file

* Update BriaPipeline example to use bfloat16 for precision sensitivity for better result

* make style && make quality &&  make fix-copiessource

---------
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
Co-authored-by: Aryan <contact.aryanvs@gmail.com>

* post release v0.35.0

* quality

Signed-off-by: SamYuan1990 <yy19902439@126.com>

* fix(qwen-image-edit):
- update condition reshaping logic to improve editing performance

* fix(qwen-image-edit):
- remove _auto_resize

fix(qwen-image):
shape calculation fix

* add alpha

* load into 2nd transformer

* Update src/diffusers/loaders/lora_conversion_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/loaders/lora_conversion_utils.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* pr comments

* pr comments

* pr comments

* fix

* fix

* Apply style fixes

* fix copies

* fix

* fix copies

* Update src/diffusers/loaders/lora_pipeline.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* revert change

* revert change

* fix copies

* up

* fix

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: linoy <linoy@hf.co>

up

* Update README.md

Specify the full dir

* Update examples/dreambooth/README.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* feat: support more Qwen LoRAs from the community.

* revert unrelated changes.

* Revert "revert unrelated changes."

This reverts commit 82dea555dc9afce1fbb4dc2323be45212ded9092.

* add clarification regarding guidance_scale in QwenImage

* propagate.

- Modify offload_models function to handle DiffusionPipeline correctly
- Ensure compatibility with both single and multiple module inputs
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix: caching allocator behaviour for quantization.

* up

* Update src/diffusers/models/model_loading_utils.py
Co-authored-by: Aryan <aryan@huggingface.co>

---------
Co-authored-by: Aryan <aryan@huggingface.co>

typo error in qwen image
Co-authored-by: J石页 <jiangshuo9@h-partners.com>
Co-authored-by: Aryan <aryan@huggingface.co>

* minor modification to support dc-ae-turbo

* minor