GitLab

* Set usedforsecurity=False in hashlib methods (FIPS compliance)

* update version dependency

* bump hfh version

* bump hfh version

* put peft in requirements

* correct peft

* correct installs

* make style

* make style

* support lcm

* fix tests

* fix tests

* improvement: docs and type hints

* improvement: docs and type hints

minor refactor

* improvement: docs and type hints

* update with suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>

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

* update test

* update

* Fixed doc for consistency decoder

* Style fix

* Update keywords; remove version cuz it changes constantly?

* Update if necessary

* Fix typos and links

* version_range_max from PyTorch's setup.py; fix typos; 1 checklist is enough?

* Fix a typo

* Fix typos

* There is already a Blank issue link at the bottom of the page; direct to Diffusers' forum

* Add 🌐

 Translating a New Language? page

* Update .github/ISSUE_TEMPLATE/translate.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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

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

* Update PHILOSOPHY.md

* Update PHILOSOPHY.md

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

* Update CONTRIBUTING.md

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

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

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

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

* Add X account link

* Update setup.py

* Update CITATION.cff

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

* refactor loaders.py to make it cleaner and leaner.

* refactor loaders init

* inits.

* textual inversion to the init.

* inits.

* remove certain modules from the main init.

* AttnProcsLayers

* fix imports

* avoid circular import.

* fix circular import pt 2.

* address PR comments

* imports

* fix: imports.

* remove from main init for avoiding circular deps.

* remove spurious deps.

* fix-copies.

* fix imports.

* more debug

* more debug

* Apply suggestions from code review

* Apply suggestions from code review

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

* does this fix things?

* attention mask use

* attention mask order

* better masking.

* add: tesrt

* remove mask_featur

* test

* debug

* fix: tests

* deprecate mask_feature

* add deprecation test

* add slow test

* add print statements to retrieve the assertion values.

* fix for the 1024 fast tes

* fix tesy

* fix the remaining

* Apply suggestions from code review

* more debug

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

more debug

* Support maybe_raise_or_warn for peft

* fix by comment

* unwrap function

* feat: sdxl will be automatically detected as pipeline_class

* fix: formatting

* fix: formatting with black

* fix: import pipeline wrongly sorted

* add lora delete feature

* added tests and changed condition

* deal with corner cases

* more corner cases

* rename to `delete_adapter_layers` for consistency

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>

* feat: add resolution binning
Co-authored-by: lawrence-cj <jschen@mail.dlut.edu.cn>

* rename

* debug

* add :test

* remove unused variable

* set resolution_binning to False.

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Co-authored-by: lawrence-cj <jschen@mail.dlut.edu.cn>

* updates

* feedback

* fix for when USE_PEFT_BACKEND is True

* Update modeling_wuerstchen_prior.py

* revert change

* add lora tests

pass height and width to image_processor.preprocess
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* post release

* fix: variant test

* up

* fix: test

fix: doc type

* lcm add tests

* uP

* Fix all

* uP

* Add

* all

* uP

* uP

* uP

* uP

* uP

* uP

* uP

* uP

* Update src/diffusers/models/consistency_decoder_vae.py

* uP

* uP

* consistency decoder

* rename

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/consistency_models/pipeline_consistency_models.py

* uP

* Apply suggestions from code review

* uP

* uP

* uP

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

* bugfix peft lor

* Apply suggestions from code review

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

* fix prompt bug

* add test

* up

* up

* up

* Empty-Commit

* fix keyword argument call.

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

* fix mask feature condition.

* debug

* remove identical test

* set correct

* Empty-Commit

* [LCM] Fix img2img

* make fix-copies

* make fix-copies

* make fix-copies

* up

Closes #4665

Fix the misaligned pipeline usage

* I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using.

* Update src/diffusers/models/unet_2d_blocks.py

This changes suggest by maintener.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/models/unet_2d_blocks.py

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

* Update unet_2d_blocks.py

I changed the Parameter to Args text.

* Update unet_2d_blocks.py

proper indentation set in this file.

* Update unet_2d_blocks.py

a little bit of change in the act_fun argument line.

* I run the black command to reformat style in the code

* Update unet_2d_blocks.py

similar doc-string add to have in the original diffusion repository.

* I removed the dummy variable defined in both the encoder and decoder.

* Now, I run black package to reformat my file

* Remove the redundant line from the adapter.py file.

* Black package using to reformated my file

* Replacing the nn.Mish activation function with a get_activation function allows developers to more easily choose the right activation function for their task. Additionally, removing redundant variables can improve code readability and maintainability.

* I try to fix this: Fast tests for PRs / Fast PyTorch Models & Schedulers CPU tests (pull_request)

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

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

* Refactor LCMScheduler.step such that prev_sample == denoised at the last timestep in the schedule.

* Make timestep scaling when calculating boundary conditions configurable.

* Reparameterize timestep_scaling to be a multiplicative rather than division scaling.

* make style

* fix dtype conversion

* make style

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

* debug

* support non-square images

* add: test

* fix: test

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

* fix: import bug

* fix

* fix

* fix import utils for lcm

* fix: pixart alpha init

* Fix

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

* fix embeds

* remove todo

* add: test

* better name

* fix

* Update src/diffusers/models/attention.py
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>

update free model hooks