GitLab

* feat: support non-diffusers lumina2 LoRAs.

* revert ipynb changes (but I don't know why this is required ☹

️)

* empty

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Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

update lora support for flux.

* fix peft state dict parsing

* updates

* update

* fix make copies

* update

* add relevant markers to the integration test suite.

* add copied.

* fox-copies

* temporarily add print.

* directly place on CUDA as CPU isn't that big on the CIO.

* fixes to fuse_lora, aryan was right.

* fixes

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

x-flux single-blocks lora load
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update


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Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update handle single blocks on _convert_xlabs_flux_lora_to_diffusers to fix bug on updating keys and old_state_dict


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Co-authored-by: raul_ar <raul.moreno.salinas@autoretouch.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* fix startswith syntax in xlabs lora conversion

* Trigger CI

https://github.com/huggingface/diffusers/pull/9581#issuecomment-2395530360

* support kohya flux loras that have tes.

* 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

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

* support kohya lora in flux.

* format

* support xlabs

* diffusion_model prefix.

* Apply suggestions from code review
Co-authored-by: apolinário <joaopaulo.passos@gmail.com>

* empty commit.
Co-authored-by: Leommm-byte <leom20031@gmail.com>

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Co-authored-by: apolinário <joaopaulo.passos@gmail.com>
Co-authored-by: Leommm-byte <leom20031@gmail.com>

fix conversion utility so that lora dora loads correctly

* refactor lora conversion utility.

* remove error raises.

* add onetrainer support too.

* attempt at fixing onetrainer lora.

* fix

* 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.

* clean up the kohya_conversion utility

* state dict assignment

change to 2024

* move several state dict conversion utils out of lora.py

* check

* check

* check

* check

* check

* check

* check

* revert back

* check

* check

* again check

* maybe fix?

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>