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  1. 03 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. 26 Nov, 2025 1 commit
  7. 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
  9. 28 Oct, 2025 1 commit
  11. 01 Oct, 2025 1 commit
    • Sayak Paul's avatar
      [tests] cache non lora pipeline outputs. (#12298) · 814d710e
      Sayak Paul authored 
      * cache non lora pipeline outputs.

* up

* up

* up

* up

* Revert "up"

This reverts commit 772c32e43397f25919c29bbbe8ef9dc7d581cfb8.

* up

* Revert "up"

This reverts commit cca03df7fce55550ed28b59cadec12d1db188283.

* up

* up

* add .

* up

* up

* up

* up

* up

* up
      814d710e
  13. 24 Sep, 2025 2 commits
  15. 18 Sep, 2025 1 commit
  17. 28 Aug, 2025 1 commit
  19. 13 Aug, 2025 1 commit
  21. 08 Aug, 2025 2 commits
  23. 05 Aug, 2025 1 commit
  25. 29 Jul, 2025 1 commit
  27. 10 Jul, 2025 1 commit
  29. 09 Jul, 2025 1 commit
  31. 08 Jul, 2025 1 commit
  33. 04 Jul, 2025 2 commits
    • Aryan's avatar
      Fix Wan AccVideo/CausVid fuse_lora (#11856) · 425a715e
      Aryan authored 
      * fix

* actually, better fix

* empty commit; trigger tests again

* mark wanvace test as flaky
      425a715e
    • Benjamin Bossan's avatar
      FIX set_lora_device when target layers differ (#11844) · 25279175
      Benjamin Bossan authored 
      

* FIX set_lora_device when target layers differ

Resolves #11833

Fixes a bug that occurs after calling set_lora_device when multiple LoRA
adapters are loaded that target different layers.

Note: Technically, the accompanying test does not require a GPU because
the bug is triggered even if the parameters are already on the
corresponding device, i.e. loading on CPU and then changing the device
to CPU is sufficient to cause the bug. However, this may be optimized
away in the future, so I decided to test with GPU.

* Update docstring to warn about device mismatch

* Extend docstring with an example

* Fix docstring

---------
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
      25279175
  35. 02 Jul, 2025 1 commit
  37. 30 Jun, 2025 1 commit
  39. 28 Jun, 2025 1 commit
  41. 27 Jun, 2025 1 commit
  43. 25 Jun, 2025 1 commit
  45. 19 Jun, 2025 1 commit
  47. 18 Jun, 2025 1 commit
  49. 13 Jun, 2025 1 commit
  51. 30 May, 2025 1 commit
  53. 27 May, 2025 1 commit
  55. 22 May, 2025 1 commit
  57. 06 May, 2025 1 commit
  59. 15 Apr, 2025 2 commits
    • Sayak Paul's avatar
      post release 0.33.0 (#11255) · 4b868f14
      Sayak Paul authored 
      

* post release

* update

* fix deprecations

* remaining

* update

---------
Co-authored-by: default avatarYiYi Xu <yixu310@gmail.com>
      4b868f14
    • Hameer Abbasi's avatar
      [LoRA] Add LoRA support to AuraFlow (#10216) · 9352a5ca
      Hameer Abbasi authored 
      

* Add AuraFlowLoraLoaderMixin

* Add comments, remove qkv fusion

* Add Tests

* Add AuraFlowLoraLoaderMixin to documentation

* Add Suggested changes

* Change attention_kwargs->joint_attention_kwargs

* Rebasing derp.

* fix

* fix

* Quality fixes.

* make style

* `make fix-copies`

* `ruff check --fix`

* Attept 1 to fix tests.

* Attept 2 to fix tests.

* Attept 3 to fix tests.

* Address review comments.

* Rebasing derp.

* Get more tests passing by copying from Flux. Address review comments.

* `joint_attention_kwargs`->`attention_kwargs`

* Add `lora_scale` property for te LoRAs.

* Make test better.

* Remove useless property.

* Skip TE-only tests for AuraFlow.

* Support LoRA for non-CLIP TEs.

* Restore LoRA tests.

* Undo adding LoRA support for non-CLIP TEs.

* Undo support for TE in AuraFlow LoRA.

* `make fix-copies`

* Sync with upstream changes.

* Remove unneeded stuff.

* Mirror `Lumina2`.

* Skip for MPS.

* Address review comments.

* Remove duplicated code.

* Remove unnecessary code.

* Remove repeated docs.

* Propagate attention.

* Fix TE target modules.

* MPS fix for LoRA tests.

* Unrelated TE LoRA tests fix.

* Fix AuraFlow LoRA tests by applying to the right denoiser layers.
Co-authored-by: default avatarAstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com>

* Apply style fixes

* empty commit

* Fix the repo consistency issues.

* Remove unrelated changes.

* Style.

* Fix `test_lora_fuse_nan`.

* fix quality issues.

* `pytest.xfail` -> `ValueError`.

* Add back `skip_mps`.

* Apply style fixes

* `make fix-copies`

---------
Co-authored-by: default avatarWarlord-K <warlordk28@gmail.com>
Co-authored-by: default avatarhlky <hlky@hlky.ac>
Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
Co-authored-by: default avatarAstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com>
Co-authored-by: default avatargithub-actions[bot] <github-actions[bot]@users.noreply.github.com>
      9352a5ca
  61. 10 Apr, 2025 2 commits
  63. 12 Mar, 2025 1 commit
  65. 10 Mar, 2025 2 commits
  67. 04 Mar, 2025 1 commit
    • Aryan's avatar
      [LoRA] Support Wan (#10943) · 3ee899fa
      Aryan authored 
      * update

* refactor image-to-video pipeline

* update

* fix copied from

* use FP32LayerNorm
      3ee899fa