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  1. 04 Dec, 2025 1 commit
  3. 02 Dec, 2025 1 commit
    • CalamitousFelicitousness's avatar
      Add ZImage LoRA support and integrate into ZImagePipeline (#12750) · edf36f51
      CalamitousFelicitousness authored 
      

* Add ZImage LoRA support and integrate into ZImagePipeline

* Add LoRA test for Z-Image

* Move the LoRA test

* Fix ZImage LoRA scale support and test configuration

* Add ZImage LoRA test overrides for architecture differences

- Override test_lora_fuse_nan to use ZImage's 'layers' attribute
  instead of 'transformer_blocks'
- Skip block-level LoRA scaling test (not supported in ZImage)
- Add required imports: numpy, torch_device, check_if_lora_correctly_set

* Add ZImageLoraLoaderMixin to LoRA documentation

* Use conditional import for peft.LoraConfig in ZImage tests

* Override test_correct_lora_configs_with_different_ranks for ZImage

ZImage uses 'attention.to_k' naming convention instead of 'attn.to_k',
so the base test's module name search loop never finds a match. This
override uses the correct naming pattern for ZImage architecture.

* Add is_flaky decorator to ZImage LoRA tests initialise padding tokens

* Skip ZImage LoRA test class entirely

Skip the entire ZImageLoRATests class due to non-deterministic behavior
from complex64 RoPE operations and torch.empty padding tokens.
LoRA functionality works correctly with real models.

Clean up removed:
- Individual @unittest.skip decorators
- @is_flaky decorator overrides for inherited methods
- Custom test method overrides
- Global torch deterministic settings
- Unused imports (numpy, is_flaky, check_if_lora_correctly_set)

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarÁlvaro Somoza <asomoza@users.noreply.github.com>
      edf36f51
  5. 25 Nov, 2025 1 commit
    • Sayak Paul's avatar
      let's go Flux2 🚀 (#12711) · 5ffb73d4
      Sayak Paul authored 
      

* add vae

* Initial commit for Flux 2 Transformer implementation

* add pipeline part

* small edits to the pipeline and conversion

* update conversion script

* fix

* up up

* finish pipeline

* Remove Flux IP Adapter logic for now

* Remove deprecated 3D id logic

* Remove ControlNet logic for now

* Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block

* update pipeline

* Don't use biases for input projs and output AdaNorm

* up

* Remove bias for double stream block text QKV projections

* Add script to convert Flux 2 transformer to diffusers

* make style and make quality

* fix a few things.

* allow sft files to go.

* fix image processor

* fix batch

* style a bit

* Fix some bugs in Flux 2 transformer implementation

* Fix dummy input preparation and fix some test bugs

* fix dtype casting in timestep guidance module.

* resolve conflicts.,

* remove ip adapter stuff.

* Fix Flux 2 transformer consistency test

* Fix bug in Flux2TransformerBlock (double stream block)

* Get remaining Flux 2 transformer tests passing

* make style; make quality; make fix-copies

* remove stuff.

* fix type annotaton.

* remove unneeded stuff from tests

* tests

* up

* up

* add sf support

* Remove unused IP Adapter and ControlNet logic from transformer (#9)

* copied from

* Apply suggestions from code review
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
Co-authored-by: default avatarapolinário <joaopaulo.passos@gmail.com>

* up

* up

* up

* up

* up

* Refactor Flux2Attention into separate classes for double stream and single stream attention

* Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion

* Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False

* Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion

* Address review comments

* Update src/diffusers/pipelines/flux2/pipeline_flux2.py
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>

* up

* Remove maybe_allow_in_graph decorators for Flux 2 transformer blocks (#12)

* up

* support ostris loras. (#13)

* up

* update schdule

* up

* up (#17)

* add training scripts (#16)

* add training scripts
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>

* model cpu offload in validation.

* add flux.2 readme

* add img2img and tests

* cpu offload in log validation

* Apply suggestions from code review

* fix

* up

* fixes

* remove i2i training tests for now.

---------
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: default avatarlinoytsaban <linoy@huggingface.co>

* up

---------
Co-authored-by: default avataryiyixuxu <yixu310@gmail.com>
Co-authored-by: default avatarDaniel Gu <dgu8957@gmail.com>
Co-authored-by: default avataryiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal>
Co-authored-by: default avatardg845 <58458699+dg845@users.noreply.github.com>
Co-authored-by: default avatarDhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: default avatarapolinário <joaopaulo.passos@gmail.com>
Co-authored-by: default avataryiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>
Co-authored-by: default avatarLinoy Tsaban <linoytsaban@gmail.com>
Co-authored-by: default avatarlinoytsaban <linoy@huggingface.co>
      5ffb73d4
  7. 04 Nov, 2025 1 commit
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  31. 17 Jun, 2025 1 commit
  33. 13 Jun, 2025 1 commit
    • Aryan's avatar
      Support Wan AccVideo lora (#11704) · e52ceae3
      Aryan authored 
      * update

* make style

* Update src/diffusers/loaders/lora_conversion_utils.py

* add note explaining threshold
      e52ceae3
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    • Vishnu V Jaddipal's avatar
      Xlabs lora fix (#9348) · 1c1ccaa0
      Vishnu V Jaddipal authored 
      

* Fix ```from_single_file``` for xl_inpaint

* Add basic flux inpaint pipeline

* style, quality, stray print

* Fix stray changes

* Add inpainting model support

* Change lora conversion for xlabs

* Fix stray changes

* Apply suggestions from code review

* style

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      1c1ccaa0