GitLab

update

* fix issue that training flux controlnet was unstable and validation results were unstable

* del unused code pieces, fix grammar

---------
Co-authored-by: Your Name <you@example.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

[train_dreambooth_lora_sdxl.py] Fix the LR Schedulers when num_train_epochs is passed in a distributed training env (#11240)
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* add fix

* add fix

* Apply style fixes

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

update scheuler config in conversion sript

up

Fix: `StableDiffusionXLControlNetAdapterInpaintPipeline` incorrectly inherited `StableDiffusionLoraLoaderMixin` (#11357)

Fix: Inherit `StableDiffusionXLLoraLoaderMixin`

`StableDiffusionXLControlNetAdapterInpaintPipeline`
used to incorrectly inherit
`StableDiffusionLoraLoaderMixin`
instead of `StableDiffusionXLLoraLoaderMixin`

* update transformer

---------
Co-authored-by: Aryan <aryan@huggingface.co>

fix
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* enable 2 test cases on XPU
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* Apply style fixes

---------
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* improve dtype mismatch handling for bnb + lora.

* add a test

* fix and updates

* update

* add

* propagate hotswap to other load_lora_weights() methods.

* simplify documentations.

* updates

* propagate to load_lora_into_text_encoder.

* empty commit

add note about use_duck_shape in auraflow docs.

fix lora docs utils

update

* update

* update

* add a snippet for compilation in the auraflow docs.

* include speedups.

* enable telemetry for single file loading when using GGUF.

* quality

unpin torch versions for onnx

* update

* update

fix

* post release

* update

* fix deprecations

* remaining

* update

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update pe_selection_index_based_on_dim

* Make pe_selection_index_based_on_dim work with torh.compile

* Fix AuraFlowTransformer2DModel's dpcstring default values

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix hidream docstrings.

* fix

* empty commit

* fix CPU offloading related fail cases on XPU
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* fix style
Signed-off-by: YAO Matrix <matrix.yao@intel.com>

* Apply style fixes

* trigger tests

* test_pipe_same_device_id_offload

---------
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>

* 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: AstraliteHeart <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: Warlord-K <warlordk28@gmail.com>
Co-authored-by: hlky <hlky@hlky.ac>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: AstraliteHeart <81396681+AstraliteHeart@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* docs: promote the usage of automodel.

* bitsandbytes

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Update community_projects.md

https://github.com/huggingface/diffusers/discussions/11158#discussioncomment-12681691

* add

* fix-copies

* support more SDXL loras.

* update

---------
Co-authored-by: hlky <hlky@hlky.ac>

adjust diff

Signed-off-by: Matrix Yao <matrix.yao@intel.com>

loose expected_max_diff from 5e-1 to 8e-1 to make
KandinskyV22PipelineInpaintCombinedFastTests::test_float16_inference
pass on XPU
Signed-off-by: Matrix Yao <matrix.yao@intel.com>

* added controlnet for sana transformer

* improve code quality

* addressed PR comments

* bug fixes

* added test cases

* update

* added dummy objects

* addressed PR comments

* update

* Forcing update

* add to docs

* code quality

* addressed PR comments

* addressed PR comments

* update

* addressed PR comments

* added proper styling

* update

* Revert "added proper styling"

This reverts commit 344ee8a7014ada095b295034ef84341f03b0e359.

* manually ordered

* Apply suggestions from code review

---------
Co-authored-by: Aryan <contact.aryanvs@gmail.com>