GitLab

* fixes

* feedback

* Update the reference for text_to_video.md

The original reference (VideoFusion) might be misleading. VideoFusion is not open-sourced. I am the co-first author of ModelScopeT2V. I change the referred paper to the right one.

* Update docs/source/en/api/pipelines/text_to_video.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Correct code for distributed training

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

* fix for when USE_PEFT_BACKEND is True

* Update modeling_wuerstchen_prior.py

* revert change

* add lora tests

fix styling issues

* Add LLM-grounded Diffusion (LMD+) pipeline

* Update the formatting

* Applied formatting

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

* [Docs] Running the pipeline twice does not appear to be the intention of these examples

One is with `cross_attention_kwargs` and the other (next line) removes it

* [Docs] Clarify that these are two separate examples

One using `scale` and the other without it

* Fix typos, update, trim trailing whitespace

* Trim trailing whitespaces

* Update docs/source/en/optimization/memory.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/optimization/memory.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update _toctree.yml

* Update adapt_a_model.md

* Reverse

* Reverse

* Reverse

* Update dreambooth.md

* Update instructpix2pix.md

* Update lora.md

* Update overview.md

* Update t2i_adapters.md

* Update text2image.md

* Update text_inversion.md

* Update create_dataset.md

* Update create_dataset.md

* Update create_dataset.md

* Update create_dataset.md

* Update coreml.md

* Delete docs/source/en/training/create_dataset.md

* Original create_dataset.md

* Update create_dataset.md

* Delete docs/source/en/training/create_dataset.md

* Add original file

* Delete docs/source/en/training/create_dataset.md

* Add original one

* Delete docs/source/en/training/text2image.md

* Delete docs/source/en/training/instructpix2pix.md

* Delete docs/source/en/training/dreambooth.md

* Add original files

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

* add lcm scripts

* Co-authored-by: dgu8957@gmail.com

* add: locm docs.

* correct path

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

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

* up

* add

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Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* 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>

install acclerate from pypi

* 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

* Add adapter fusing + PEFT to the docs

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/tutorials/using_peft_for_inference.md

* Update docs/source/en/tutorials/using_peft_for_inference.md

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

* 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

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

* 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>

* Fix typos, improve, update; kandinsky doesn't want fp16 due to deprecation; ogkalu and kohbanye don't have safetensor; add make_image_grid for better visualization

* Update inpaint.md

* Remove erronous Space

* Update docs/source/en/using-diffusers/conditional_image_generation.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update img2img.md

* load_image() already converts to RGB

* Update depth2img.md

* Update img2img.md

* Update inpaint.md

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

* explicit torch dependency check

* update

* update

* update

* 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

* fix model xformers test

* update