GitLab

* 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

---------
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

---------
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

---------
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

---------
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.

---------
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>

---------
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

---------
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

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

* debug

* support non-square images

* add: test

* fix: test

---------
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

---------
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>

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

update free model hooks

* fix model xformers test

* update

update custom diffusion attn processor

post release

fix custom pipelines

* init pixart alpha pipeline

* fix: import

* script

* script

* script

* add: vae to the pipeline

* add: vae_scale_factor

* add: checkpoint_path

* clean conversion script a bit.

* size embeddings.

* fix: size embedding

* update scrip

* support for interpolation of position embedding.

* support for conditioning.

* ..

* ..

* ..

* final layer

* final layer

* align if encode_prompt

* support for caption embedding

* refactor

* refactor

* refactor

* start cross attention

* start cross attention

* cross_attention_dim

* cross

* cross

* support for resolution and aspect_ratio

* support for caption projection

* refactor patch embeddings

* batch_size

* up

* commit

* commit

* commit.

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze

* squeeze.

* squeeze.

* fix final block./

* fix final block./

* fix final block./

* clean

* fix: interpolation scale.

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging'

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* make --checkpoint_path non-required.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* remove num_tokens

* timesteps -> timestep

* timesteps -> timestep

* timesteps -> timestep

* timesteps -> timestep

* timesteps -> timestep

* timesteps -> timestep

* debug

* debug

* update conversion script.

* update conversion script.

* update conversion script.

* debug

* debug

* debug

* clean

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* debug

* deug

* debug

* debug

* debug

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* clean

* fix

* fix

* boom

* boom

* some changes

* boom

* save

* up

* remove i

* fix more tests

* DPMSolverMultistepScheduler

* fix

* offloading

* fix conversion script

* fix conversion script

* remove print

* remove support for negative prompt embeds.

* typo.

* remove extra kwargs

* bring conversion script to where it was

* fix

* trying mu luck

* trying my luck again

* again

* again

* again

* clean up

* up

* up

* update example

* support for 512

* remove spacing

* finalize docs.

* test debug

* fix: assertion values.

* debug

* debug

* debug

* fix: repeat

* remove prints.

* Apply suggestions from code review

* Apply suggestions from code review

* Correct more

* Apply suggestions from code review

* Change all

* Clean more

* fix more

* Fix more

* Fix more

* Correct more

* address patrick's comments.

* remove unneeded args

* clean up pipeline.

* sty;e

* make the use of additional conditions better conditioned.

* None better

* dtype

* height and width validation

* add a note about size brackets.

* fix

* spit out slow test outputs.

* fix?

* fix optional test

* fix more

* remove unneeded comment

* debug

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

* draft1

* update

* style

* move to the end of loop

* update

* update callbak_on_step_end_inputs

* Revert "update"

This reverts commit 5f9b153183d0cde3b850f14024d2e37ae8c19576.

* Revert "update callbak_on_step_end_inputs"

This reverts commit 44889f4dabad95b7ebb330faa5f1955b5d008c88.

* update

* update test required_optional_params

* remove self.lora_scale

* img2img

* inpaint

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

* fix

* apply feedbacks on img2img + inpaint: keep only important pipeline attributes

* depth

* pix2pix

* make _callback_tensor_inputs an class variable so that we can use it for testing

* add a basic tst for callback

* add a read-only tensor input timesteps + fix tests

* add second test for callback cfg

* sdxl

* sdxl img2img

* sdxl inpaint

* kandinsky prior

* kandinsky decoder

* kandinsky img2img + combined

* kandinsky inpaint

* fix copies

* fix

* consistent default inputs

* fix copies

* wuerstchen_prior prior

* test_wuerstchen_decoder + fix test for prior

* wuerstchen_combined pipeline + skip tests

* skip test for kandinsky combined

* lcm

* remove timesteps etc

* add doc string

* copies

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* make style and improve tests

* up

* up

* fix more

* fix cfg test

* tests for callbacks

* fix for real

* update

* lcm img2img

* add doc

* add doc page to index

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@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

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

* support for tiny autoencoder in img2img
Co-authored-by: slep0v <37597789+slep0v@users.noreply.github.com>

* copy fix

* line space

* line space

* clean up

* spit out expected value

* spit out expected value

* assertion values.

* assertion values.

---------
Co-authored-by: slep0v <37597789+slep0v@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Fix typos, improve, update; better visualization

* Clean up LCM pipeline and pipeline test code.

* Add comment for LCM img2img sampling loop.

Move unchanging operation out of loop for speed benefit.

* clean up the LCM docstrings.

* clean up

* fix: examples

* Apply suggestions from code review

fix a bug in `AutoPipeline.from_pipe()` when creating a controlnet pipeline from an existing controlnet (#5638)

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

minor

update animatediff docs