* 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- Removed outdated inference example from Bria 3.2 documentation.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>
- 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>
* CogView4: remove SiLU in final AdaLN (match Megatron); add switch to AdaLayerNormContinuous; split temb_raw/temb_blocks
* CogView4: remove SiLU in final AdaLN (match Megatron); add switch to AdaLayerNormContinuous; split temb_raw/temb_blocks
* CogView4: remove SiLU in final AdaLN (match Megatron); add switch to AdaLayerNormContinuous; split temb_raw/temb_blocks
* CogView4: use local final AdaLN (no SiLU) per review; keep generic AdaLN unchanged
* re-add configs as normal files (no LFS)
* Apply suggestions from code review
* Apply style fixes
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Co-authored-by: 武嘉涵 <lambert@wujiahandeMacBook-Pro.local>
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>
* try to use deepseek with an agent to auto i18n to zh
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* add two more docs
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* fix, updated some prompt for better translation
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* Try to passs CI check
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* fix up for human review process
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* fix up
Signed-off-by: SamYuan1990 <yy19902439@126.com>
* fix review comments
Signed-off-by: SamYuan1990 <yy19902439@126.com>
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Signed-off-by: SamYuan1990 <yy19902439@126.com>
