* refactor bria pipeline tests to the new mixin structure
* add lora tester class
* remove lora tester class
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* switch to transformers main again./
* more
* up
* up
* fix group offloading.
* attributes
* up
* up
* tie embedding issue.
* fix t5 stuff for more.
* matrix configuration to see differences between 4.57.3 and main failures.
* change qwen expected slice because of how init is handled in v5.
* same stuff.
* up
* up
* Revert "up"
This reverts commit 515dd06db5.
* Revert "up"
This reverts commit 5274ffdd7f.
* up
* up
* fix with peft_format.
* just keep main for easier debugging.
* remove torchvision.
* empty
* up
* up with skyreelsv2 fixes.
* fix skyreels type annotation.
* up
* up
* fix variant loading issues.
* more fixes.
* fix dduf
* fix
* fix
* fix
* more fixes
* fixes
* up
* up
* fix dduf test
* up
* more
* update
* hopefully ,final?
* one last breath
* always install from main
* up
* audioldm tests
* up
* fix PRX tests.
* up
* kandinsky fixes
* qwen fixes.
* prx
* hidream
* 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>
