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Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

* improve test

* handle ip adapter params correctly

* fix chroma qkv fusion test

* fix fastercache implementation

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* add back set_attention_backend

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* make ip adapter processor compatible with attention dispatcher

* refactor chroma as well

* remove rmsnorm assert

* minify and deprecate npu/xla processors

* update

* refactor

* refactor; support flash attention 2 with cp

* fix

* support sage attention with cp

* make torch compile compatible

* update

* refactor

* update

* refactor

* refactor

* add ulysses backward

* try to make dreambooth script work; accelerator backward not playing well

* Revert "try to make dreambooth script work; accelerator backward not playing well"

This reverts commit 768d0ea6fa6a305d12df1feda2afae3ec80aa449.

* workaround compilation problems with triton when doing all-to-all

* support wan

* handle backward correctly

* support qwen

* support ltx

* make fix-copies

* Update src/diffusers/models/modeling_utils.py
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* support passing parallel_config to from_pretrained

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* [docs] components_to_quantize (#12287)

init
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* feat: support group offloading at the pipeline level.

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* [docs] Pipeline group offloading (#12286)

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* add qwen modular

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* addressed PR comments

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* code formatting

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* addressed PR comments

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* fix docs and dependencies

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* refresh

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* supported models

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docs: Fix VAE scale factor calculation

* add qwenimage-edit inpaint feature

* stay up to date with main branch

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Fix typos and test assertions
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* 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

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

Fix formatting in using_peft_for_inference.md

* init

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* fix-copies

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* change wan2.1 -> wan

* up

* support qwen-image-cn-union


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* [Docs] Add documentation for KontextInpaintingPipeline

* Update docs/source/en/api/pipelines/flux.md
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* update kontext inpaint docs with hfoption

* Update docs/source/en/api/pipelines/flux.md
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* Update docs/source/en/api/pipelines/flux.md
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add space

Signed-off-by: SamYuan1990 <yy19902439@126.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: Aryan <contact.aryanvs@gmail.com>

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* 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
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up

* add clarification regarding guidance_scale in QwenImage

* propagate.

* add docs.

* more docs.

* xfail full compilation for Qwen for now.

* tests

* up

* up

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* reviewer feedback.

* start

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