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* addressed PR comments

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* code formatting

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* addressed PR comments

* addressed PR comments

* addressed PR comments

* addressed PR comments

* fix docs and dependencies

* fixed dependency test

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

update

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* merge main

* Revert "merge main"

This reverts commit 65efbcead58644b31596ed2d714f7cee0e0238d3.

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

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

* added test qwen image controlnet

* Apply style fixes

* added test qwenimage multicontrolnet

* Apply style fixes

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

* add docs.

* more docs.

* xfail full compilation for Qwen for now.

* tests

* up

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* up

* reviewer feedback.

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

* tighten compilation tests for quantization

* feat: model_info but local.

* up

* Revert "tighten compilation tests for quantization"

This reverts commit 8d431dc967a4118168af74aae9c41f2a68764851.

* up

* reviewer feedback.

* reviewer feedback.

* up

* up

* empty

* update

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

* feat: cuda device_map for pipelines.

* up

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* empty

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* Fix bf15/fp16 for pipeline_wan_vace.py

* Update pipeline_wan_vace.py

* try removing xfail decorator

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* checking.

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* up

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* fix

* review feedback.

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* feat/qwenimage-img2img-inpaint

* Update qwenimage.md to reflect new pipelines and add # Copied from convention

* tiny fix for passing ruff check

* reformat code

* fix copied from statement

* fix copied from statement

* copy and style fix

* fix dummies

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

complete the licensing statement.

* update

* nuke LoC for inference slices

* update

* update

* update

* enable compilation in qwen image.

* add tests

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

* update

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

* feat: support loading diffusers format gguf checkpoints.

* update

* update

* qwen

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

* rearrage the params to groups: default params /image params /batch params / callback params

* make style

* add names property to pipeline blocks

* style

* remove more unused func

* prepare_latents_inpaint always return noise and image_latents

* up

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

up

* use state dict when setting up LoRA.

* up

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* comment

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* tighten compilation tests for quantization

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* update

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* refactor

* add test

* address review comment

* nit

Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* add gguf kernel support
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* fix
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* optimize
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Co-authored-by: DN6 <dhruv.nair@gmail.com>

up

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* feat: support lora in qwen image and training script

* up

* up

* up

* up

* up

* up

* add lora tests

* fix

* add tests

* fix

* reviewer feedback

* up[

* Apply suggestions from code review
Co-authored-by: Aryan <aryan@huggingface.co>

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

* update

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* add docs

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* update

* try test fix

* add missing link

* fix tests

* Update src/diffusers/hooks/first_block_cache.py

* make style

* support wan 2.2 i2v

* add t2v + vae2.2

* add conversion script for vae 2.2

* add

* add 5b t2v

* conversion script

* refactor out reearrange

* remove a copied from in skyreels

* Apply suggestions from code review
Co-authored-by: bagheera <59658056+bghira@users.noreply.github.com>

* Update src/diffusers/models/transformers/transformer_wan.py

* fix fast tests

* style

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

enforce torch version in the compilation tests.

* update

* fix wan vace test slice

* test

* fix

* xx

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

* Update model_loading_utils.py

* Update test_models_unet_2d_condition.py

* Update test_models_unet_2d_condition.py

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

* fix comments
Signed-off-by: Matrix Yao <matrix.yao@intel.com>

* Update unet_2d_blocks.py

* update
Signed-off-by: Matrix Yao <matrix.yao@intel.com>

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Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Signed-off-by: Matrix Yao <matrix.yao@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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