GitLab

* allow loras to be loaded with low_cpu_mem_usage.

* add flux support but note https://github.com/huggingface/diffusers/pull/9510\#issuecomment-2378316687



* low_cpu_mem_usage.

* fix-copies

* fix-copies again

* tests

* _LOW_CPU_MEM_USAGE_DEFAULT_LORA

* _peft_version default.

* version checks.

* version check.

* version check.

* version check.

* require peft 0.13.1.

* explicitly specify low_cpu_mem_usage=False.

* docs.

* transformers version 4.45.2.

* update

* fix

* empty

* better name initialize_dummy_state_dict.

* doc todos.

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

* style

* fix-copies

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

* clean up the serialization stuff.

* better

* make set_adapters() method more robust.

* remove patch

* better and concise code.

* Update src/diffusers/loaders/lora_base.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

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

* refactor scheduler class usage

* reorder to make tests more readable

* remove pipeline specific checks and skip tests directly

* rewrite denoiser conditions cleaner

* bump tolerance for cog test

* cogvideox lora training draft

* update

* update

* update

* update

* update

* make fix-copies

* update

* update

* apply suggestions from review

* apply suggestions from reveiw

* fix typo

* Update examples/cogvideo/train_cogvideox_lora.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix lora alpha

* use correct lora scaling for final test pipeline

* Update examples/cogvideo/train_cogvideox_lora.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* apply suggestions from review; prodigy optimizer

YiYi Xu <yixu310@gmail.com>

* add tests

* make style

* add README

* update

* update

* make style

* fix

* update

* add test skeleton

* revert lora utils changes

* add cleaner modifications to lora testing utils

* update lora tests

* deepspeed stuff

* add requirements.txt

* deepspeed refactor

* add lora stuff to img2vid pipeline to fix tests

* fight tests

* add co-authors
Co-Authored-By: Fu-Yun Wang <1697256461@qq.com>
Co-Authored-By: zR <2448370773@qq.com>

* fight lora runner tests

* import Dummy optim and scheduler only wheh required

* update docs

* add coauthors
Co-Authored-By: Fu-Yun Wang <1697256461@qq.com>

* remove option to train text encoder
Co-Authored-By: bghira <bghira@users.github.com>

* update tests

* fight more tests

* update

* fix vid2vid

* fix typo

* remove lora tests; todo in follow-up PR

* undo img2vid changes

* remove text encoder related changes in lora loader mixin

* Revert "remove text encoder related changes in lora loader mixin"

This reverts commit f8a8444487db27859be812866db4e8cec7f25691.

* update

* round 1 of fighting tests

* round 2 of fighting tests

* fix copied from comment

* fix typo in lora test

* update styling
Co-Authored-By: YiYi Xu <yixu310@gmail.com>

---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: zR <2448370773@qq.com>
Co-authored-by: Fu-Yun Wang <1697256461@qq.com>
Co-authored-by: bghira <bghira@users.github.com>

* feat: lora support for Flux.

add tests

fix imports

major fixes.

* fix

fixes

final fixes?

* fix

* remove is_peft_available.

* introduce  to promote reusability.

* up

* add more tests

* up

* remove comments.

* fix fuse_nan test

* clarify the scope of fuse_lora and unfuse_lora

* remove space

* rewrite fuse_lora a bit.

* feedback

* copy over load_lora_into_text_encoder.

* address dhruv's feedback.

* fix-copies

* fix issubclass.

* num_fused_loras

* fix

* fix

* remove mapping

* up

* fix

* style

* fix-copies

* change to SD3TransformerLoRALoadersMixin

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* up

* handle wuerstchen

* up

* move lora to lora_pipeline.py

* up

* fix-copies

* fix documentation.

* comment set_adapters().

* fix-copies

* fix set_adapters() at the model level.

* fix?

* fix

* loraloadermixin.

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

Revert "[LoRA] introduce LoraBaseMixin to promote reusability. (#8774)"

This reverts commit 527430d0.

* introduce  to promote reusability.

* up

* add more tests

* up

* remove comments.

* fix fuse_nan test

* clarify the scope of fuse_lora and unfuse_lora

* remove space

* rewrite fuse_lora a bit.

* feedback

* copy over load_lora_into_text_encoder.

* address dhruv's feedback.

* fix-copies

* fix issubclass.

* num_fused_loras

* fix

* fix

* remove mapping

* up

* fix

* style

* fix-copies

* change to SD3TransformerLoRALoadersMixin

* Apply suggestions from code review
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* up

* handle wuerstchen

* up

* move lora to lora_pipeline.py

* up

* fix-copies

* fix documentation.

* comment set_adapters().

* fix-copies

* fix set_adapters() at the model level.

* fix?

* fix

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

Revert "[LoRA] introduce `LoraBaseMixin` to promote reusability. (#8670)"

This reverts commit a2071a18.

* introduce  to promote reusability.

* up

* add more tests

* up

* remove comments.

* fix fuse_nan test

* clarify the scope of fuse_lora and unfuse_lora

* remove space

* [LoRA] text encoder: read the ranks for all the attn modules

 * In addition to out_proj, read the ranks of adapters for q_proj, k_proj, and  v_proj

 * Allow missing adapters (UNet already supports this)

* ruff format loaders.lora

* [LoRA] add tests for partial text encoders LoRAs

* [LoRA] update test_simple_inference_with_partial_text_lora to be deterministic

* [LoRA] comment justifying test_simple_inference_with_partial_text_lora

* style

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

* Fix copying mechanism typos

* fix copying mecha

* Revert, since they are in TODO

* Fix copying mechanism

* Initial commit

* Implemented block lora

- implemented block lora
- updated docs
- added tests

* Finishing up

* Reverted unrelated changes made by make style

* Fixed typo

* Fixed bug + Made text_encoder_2 scalable

* Integrated some review feedback

* Incorporated review feedback

* Fix tests

* Made every module configurable

* Adapter to new lora test structure

* Final cleanup

* Some more final fixes

- Included examples in `using_peft_for_inference.md`
- Added hint that only attns are scaled
- Removed NoneTypes
- Added test to check mismatching lens of adapter names / weights raise error

* Update using_peft_for_inference.md

* Update using_peft_for_inference.md

* Make style, quality, fix-copies

* Updated tutorial;Warning if scale/adapter mismatch

* floats are forwarded as-is; changed tutorial scale

* make style, quality, fix-copies

* Fixed typo in tutorial

* Moved some warnings into `lora_loader_utils.py`

* Moved scale/lora mismatch warnings back

* Integrated final review suggestions

* Empty commit to trigger CI

* Reverted emoty commit to trigger CI

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

Skipping test_lora_fuse_nan on mps
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* feat: support dora loras from community

* safe-guard dora operations under peft version.

* pop use_dora when False

* make dora lora from kohya work.

* fix: kohya conversion utils.

* add a fast test for DoRA compatibility..

* add a nightly test.

* Update test_lora_layers_peft.py

* Update utils.py

* cleanse and refactor lora testing suite.

* more cleanup.

* make check_if_lora_correctly_set a utility function

* fix: typo

* retrigger ci

* style