GitLab

* cleanup of runway model

* quality fixes

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

Fix missing load_video documentation and load_video import in WanVideoToVideoPipeline example code (#12472)

* Update utilities.md

Update missing load_video documentation

* Update pipeline_wan_video2video.py

Fix missing load_video import in example code

* fix syntax

* fix

* style

* fix

* up

* up

* up

* up

* up

* up

* remove saves

* move things around a bit.

* get ready.

* change syntax

* make style

* fix: preserve boolean dtype for attention masks in ChromaPipeline

- Convert attention masks to bool and prevent dtype corruption
- Fix both positive and negative mask handling in _get_t5_prompt_embeds
- Remove float conversion in _prepare_attention_mask method

Fixes #12116

* test: add ChromaPipeline attention mask dtype tests

* test: add slow ChromaPipeline attention mask tests

* chore: removed comments

* refactor: removing redundant type conversion

* Remove dedicated dtype tests as per  feedback

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

* Support huggingface_hub 0.x and 1.x

* httpx

Fixed WanVACEPipeline to allow prompt to be None and skip encoding step

* Fixes chroma docs

* fix docs

fixed docs are now consistent

xfail some kandinsky tests.

* feat: add support of qwenimageeditplus

* add copies statement

* fix copies statement

* remove vl_processor reference

update

* Added LucyEditPipeline

* add import & stype

missing copied from

* Fix example doc string

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Co-authored-by: yiyixuxu <yixu310@gmail.com>

* support Wan2.2-VACE-Fun-A14B

* support Wan2.2-VACE-Fun-A14B

* support Wan2.2-VACE-Fun-A14B

* Apply style fixes

* test

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

* Use SDP on BF16 in GPU/HPU migration
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* Formatting fix for enabling SDP with BF16 precision on HPU
Signed-off-by: Daniel Socek <daniel.socek@intel.com>

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Signed-off-by: Daniel Socek <daniel.socek@intel.com>

* deprecate slicing from flux pipeline.

* propagate.

* tiling

* up

* up

Co-authored-by: YiYi Xu <yixu310@gmail.com>

fix the device for textencoder

* feat: support group offloading at the pipeline level.

* add tests

* up

* [docs] Pipeline group offloading (#12286)

init
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* add qwen-image-cn-inpaint


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

* add qwen modular

Signed-off-by: co63oc <co63oc@users.noreply.github.com>

* add qwenimage-edit inpaint feature

* stay up to date with main branch

* fix style

* fix docs

* copies

* fix

* again

* copies

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Co-authored-by: “Trgtuan10” <“tuannguyentrong.402@gmail.com”>
Co-authored-by: TuanNT-ZenAI <tuannt.zenai@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail.com>

add  entry
Co-authored-by: TuanNT-ZenAI <tuannt.zenai@gmail.com>

* make modular pipeline work with model_index.json

* up

* style

* up

* up

* style

* up more

* Fix MultiControlNet import (#12118)

fix

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Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* up

* 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

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

* support qwen-image-cn-union


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

* 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

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

* propagate.

* add docs.

* more docs.

* xfail full compilation for Qwen for now.

* tests

* up

* up

* up

* reviewer feedback.

* feat(qwen-image):
add qwen-image-edit support

* fix(qwen image):
- compatible with torch.compile in new rope setting
- fix init import
- add prompt truncation in img2img and inpaint pipe
- remove unused logic and comment
- add copy statement
- guard logic for rope video shape tuple

* fix(qwen image):
- make fix-copies
- update doc

* feat: cuda device_map for pipelines.

* up

* up

* empty

* up

* Fix bf15/fp16 for pipeline_wan_vace.py

* Update pipeline_wan_vace.py

* try removing xfail decorator

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