GitLab

* Deprecate resume_download

* align docstring with transformers

* style

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

* up

* add comment to the tests + fix dit

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

* fix lora device test

* fix more.

* fix more/

* quality

* empty

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

* Restore AttnProcessor2_0 in unload_ip_adapter

* Fix style

* Update test

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

* enable control ip-adapter per-transformer block on-the-fly

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Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
Co-authored-by: ResearcherXman <xhs.research@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Switch to peft and multi proj layers

* Move Face ID loading and inference to core

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

Fix a bug that causes the the call to set_lora_device to ignore the DoRA
parameters.

Fixed deprecated logger.warn with logger.warning.

* add: utility to format our docs too 📜

* debugging saga

* fix: message

* checking

* should be fixed.

* revert pipeline_fixture

* remove empty line

* make style

* fix: setup.py

* style.

Fixed important typo

* 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

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

import load_model_dict_into_meta only once

* 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.

* cleanse and refactor lora testing suite.

* more cleanup.

* make check_if_lora_correctly_set a utility function

* fix: typo

* retrigger ci

* style

update

* clean up the kohya_conversion utility

* state dict assignment

clean residue from copy-pasting

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

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

switch to logger.warning

* update the signature of from_single_file

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/loaders/single_file.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update

* fix parameter name

* feedback

* add no mask version

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

* debig

* cast tuples to lists.

* debug

* handle upcast attention

* handle downblock types for vae.

* remove print.

* address Dhruv's comments.

* fix: upblock types.

* upcast attention

* debug

* debug

* debug

* better guarding.

* style

* fix: support for loading playground v2.5 single file checkpoint.

* remove is_playground_model.

* fix: edm key

* apply Dhruv's comments but errors.

* fix: things.

* delegate model_type inference to a function.

* address Dhruv's comment.

* address rest of the comments.

* fix: kwargs

* fix

* update

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Co-authored-by: DN6 <dhruv.nair@gmail.com>

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

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

* copy the state dict in load lora weights

* fixup

* allow passing tokenizer & text_encoder to unload_textual_inversion


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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Fabio Rigano <fabio2rigano@gmail.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

* fix doc

* remove use_safetensors from signature

* more

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Co-authored-by: yiyixuxu <yixu310@gmail,com>

update

fix
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* feat: allow low_cpu_mem_usage in ip adapter loading

* reduce the number of device placements.

* documentation.

* throw low_cpu_mem_usage warning only once from the main entry point.

* use cases

* first draft

* fix image links

* lcm-lora

* feedback

* review

* feedback

* feedback

* use load_model_into_meta in single file utils

* propagate to autoencoder and controlnet.

* correct class name access behaviour.

* remove torch_dtype from load_model_into_meta; seems unncessary

* remove incorrect kwarg

* style to avoid extra unnecessary line breaks

* update

* update

* update

* update

* fix: bias loading bug

* fixes for SDXL

* apply changes to the conversion script to match single_file_utils.py

* do transpose to match the single file loading logic.

* fix

* add tests

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

* deprecate certain lora methods from the old backend.

* uncomment necessary things.

* safe remove old lora backend 👋