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An upcoming change to JAX will include non-local (addressable) CPU devices in jax.devices() when JAX is used multicontroller-style, where there are multiple Python processes.

This change preserves the current behavior by replacing uses of jax.devices("cpu"), which previously only returned local devices, with jax.local_devices("cpu"), which will return local devices both now and in the future.

This change is always safe (i.e., it should always preserve the previous behavior), but it may sometimes be unnecessary if code is never used in a multicontroller setting.
Co-authored-by: Peter Hawkins <phawkins@google.com>

* ruff format

* not need to use doc-builder's black styling as the doc is styled in ruff

* make fix-copies

* comment

* use run_ruff

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

* fix: UnboundLocalError with image_latents

* chore: run make style, quality, fix-copies

* revert changes from make fix-copies

* revert changes from make fix-copies

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

* Update peft_utils.py

* fix bug

* make the util backwards compatible.
Co-Authored-By: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* fix import issue

* refactor the backward compatibilty condition

* rename the conditional variable

* address comments
Co-Authored-By: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* address comment

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* 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>