GitLab

* up

* fix more

* Apply suggestions from code review

* fix more

* fix more

* Check it

* Remove 16:8

* fix more

* fix more

* fix more

* up

* up

* Test only stable diffusion

* Test only two files

* up

* Try out spinning up processes that can be killed

* up

* Apply suggestions from code review

* up

* up

* Add DPM-Solver Multistep Inverse Scheduler

* Add draft tests for DiffEdit

* Add inverse sde-dpmsolver steps to tune image diversity from inverted latents

* Fix tests

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

* refactor controlnet and add img2img and inpaint

* First draft to get pipelines to work

* make style

* Fix more

* Fix more

* More tests

* Fix more

* Make inpainting work

* make style and more tests

* Apply suggestions from code review

* up

* make style

* Fix imports

* Fix more

* Fix more

* Improve examples

* add test

* Make sure import is correctly deprecated

* Make sure everything works in compile mode

* make sure authorship is correctly attributed

* fix more

* Fix more

* fix more

* Apply suggestions from code review

* fix

* make style

* make fix-copies

* fix

* make sure torch compile

* Clean

* fix test

* Update Pix2PixZero Auto-correlation Loss

* Add Stable Diffusion DiffEdit pipeline

* Add draft documentation and import code

* Bugfixes and refactoring

* Add option to not decode latents in the inversion process

* Harmonize preprocessing

* Revert "Update Pix2PixZero Auto-correlation Loss"

This reverts commit b218062fed08d6cc164206d6cb852b2b7b00847a.

* Update annotations

* rename `compute_mask` to `generate_mask`

* Update documentation

* Update docs

* Update Docs

* Fix copy

* Change shape of output latents to batch first

* Update docs

* Add first draft for tests

* Bugfix and update tests

* Add `cross_attention_kwargs` support for all pipeline methods

* Fix Copies

* Add support for PIL image latents

Add support for mask broadcasting

Update docs and tests

Align `mask` argument to `mask_image`

Remove height and width arguments

* Enable MPS Tests

* Move example docstrings

* Fix test

* Fix test

* fix pipeline inheritance

* Harmonize `prepare_image_latents` with StableDiffusionPix2PixZeroPipeline

* Register modules set to `None` in config for `test_save_load_optional_components`

* Move fixed logic to specific test class

* Clean changes to other pipelines

* Update new tests to coordinate with #2953

* Update slow tests for better results

* Safety to avoid potential problems with torch.inference_mode

* Add reference in SD Pipeline Overview

* Fix tests again

* Enforce determinism in noise for generate_mask

* Fix copies

* Widen test tolerance for fp16 based on `test_stable_diffusion_upscale_pipeline_fp16`

* Add LoraLoaderMixin and update `prepare_image_latents`

* clean up repeat and reg

* bugfix

* Remove invalid args from docs

Suppress spurious warning by repeating image before latent to mask gen

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* [2064]: Add stochastic sampler

* Review comments

* [Review comment]: Add is_torchsde_available()

* [Review comment]: Test and docs

* [Review comment]

* [Review comment]

* [Review comment]

* [Review comment]

* [Review comment]

---------
Co-authored-by: njindal <njindal@adobe.com>

* Post release

* fix more

* add

* clean

* up

* clean up more

* fix more tests

* Improve docs further

* improve

* more fixes docs

* Improve docs more

* Update src/diffusers/models/unet_2d_condition.py

* fix

* up

* update doc links

* make fix-copies

* add safety checker and watermarker to stage 3 doc page code snippets

* speed optimizations docs

* memory optimization docs

* make style

* add watermarking snippets to doc string examples

* make style

* use pt_to_pil helper functions in doc strings

* skip mps tests

* Improve safety

* make style

* new logic

* fix

* fix bad onnx design

* make new stable diffusion upscale pipeline model arguments optional

* define has_nsfw_concept when non-pil output type

* lowercase linked to notebook name

---------
Co-authored-by: William Berman <WLBberman@gmail.com>

sync cache version check from transformers

* Update pipeline_stable_diffusion_inpaint_legacy.py

* fix preprocessing of Pil images with adequate batch size

* revert map

* add tests

* reformat

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* next try to fix the style

* wth is this

* Update testing_utils.py

* Update testing_utils.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

* Update test_stable_diffusion_inpaint_legacy.py

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

* add mixin class for pipeline from original sd ckpt

* Improve

* make style

* merge main into

* Improve more

* fix more

* up

* Apply suggestions from code review

* finish docs

* rename

* make style

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

* Better deprecation message

* Better deprecation message

* Better doc string

* Fixes

* fix more

* fix more

* Improve __getattr__

* correct more

* fix more

* fix

* Improve more

* more improvements

* fix more

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

* make style

* Fix all rest & add tests & remove old deprecation fns

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix progress bar issue in pipeline_text_to_video_zero.py. Copy scheduler after first backward

* fix tensor loading in test_text_to_video_zero.py

* make style && make quality

* add: first draft for a better LoRA enabler.

* make fix-copies.

* feat: backward compatibility.

* add: entry to the docs.

* add: tests.

* fix: docs.

* fix: norm group test for UNet3D.

* feat: add support for flat dicts.

* add depcrcation message instead of warning.

* add TextToVideoZeroPipeline and CrossFrameAttnProcessor

* add docs for text-to-video zero

* add teaser image for text-to-video zero docs

* Fix review changes. Add Documentation. Add test

* clean up the codes in pipeline_text_to_video.py. Add descriptive comments and docstrings

* make style && make quality

* make fix-copies

* make requested changes to docs. use huggingface server links for resources, delete res folder

* make style && make quality && make fix-copies

* make style && make quality

* Apply suggestions from code review

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

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

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add load textual inversion embeddings draft

* fix quality

* fix typo

* make fix copies

* move to textual inversion mixin

* make it accept from sd-concept library

* accept list of paths to embeddings

* fix styling of stable diffusion pipeline

* add dummy TextualInversionMixin

* add docstring to textualinversionmixin

* add case for parsing embedding from auto1111 UI format
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>

* fix style after rebase

* move textual inversion mixin to loaders

* move mixin inheritance to DiffusionPipeline from StableDiffusionPipeline)

* update dummy class name

* addressed allo comments

* fix old dangling import

* fix style

* proposal

* remove bogus

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

* finish

* make style

* up

* fix code quality

* fix code quality - again

* fix code quality - 3

* fix alt diffusion code quality

* fix model editing pipeline

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

* Finish

---------
Co-authored-by: Evan Jones <evan.a.jones3@gmail.com>
Co-authored-by: Ana Tamais <aninhamoraestamais@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Workaround for saving dynamo-wrapped models.

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

* Apply workaround when overriding pipeline components.

* Ensure the correct config.json is saved to disk.

Instead of the dynamo class.

* Save correct module (not compiled one)

* Add test

* style

* fix docstrings

* Go back to using string comparisons.

PyTorch CPU does not have _dynamo.

* Simple test for save_pretrained of compiled models.

* Helper function to test whether module is compiled.

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

* Apply same ruff settings as in transformers

See https://github.com/huggingface/transformers/blob/main/pyproject.toml

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Apply new style rules

* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* style

* remove list, ruff wouldn't auto fix.

---------
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* update import onnxruntime package, enable onnxruntime-rocm and onnxruntime-training

* add ort_nightly_gpu

* TIME first commit

* styling.

* styling 2.

* fixes; tests

* apply styling and doc fix.

* remove sups.

* fixes

* remove temp file

* move augmentations to const

* added doc entry

* code quality

* customize augmentations

* quality

* quality

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

* Add AudioLDM

* up

* add vocoder

* start unet

* unconditional unet

* clap, vocoder and vae

* clean-up: conversion scripts

* fix: conversion script token_type_ids

* clean-up: pipeline docstring

* tests: from SD

* clean-up: cpu offload vocoder instead of safety checker

* feat: adapt tests to audioldm

* feat: add docs

* clean-up: amend pipeline docstrings

* clean-up: make style

* clean-up: make fix-copies

* fix: add doc path to toctree

* clean-up: args for conversion script

* clean-up: paths to checkpoints

* fix: use conditional unet

* clean-up: make style

* fix: type hints for UNet

* clean-up: docstring for UNet

* clean-up: make style

* clean-up: remove duplicate in docstring

* clean-up: make style

* clean-up: make fix-copies

* clean-up: move imports to start in code snippet

* fix: pass cross_attention_dim as a list/tuple to unet

* clean-up: make fix-copies

* fix: update checkpoint path

* fix: unet cross_attention_dim in tests

* film embeddings -> class embeddings

* Apply suggestions from code review
Co-authored-by: Will Berman <wlbberman@gmail.com>

* fix: unet film embed to use existing args

* fix: unet tests to use existing args

* fix: make style

* fix: transformers import and version in init

* clean-up: make style

* Revert "clean-up: make style"

This reverts commit 5d6d1f8b324f5583e7805dc01e2c86e493660d66.

* clean-up: make style

* clean-up: use pipeline tester mixin tests where poss

* clean-up: skip attn slicing test

* fix: add torch dtype to docs

* fix: remove conversion script out of src

* fix: remove .detach from 1d waveform

* fix: reduce default num inf steps

* fix: swap height/width -> audio_length_in_s

* clean-up: make style

* fix: remove nightly tests

* fix: imports in conversion script

* clean-up: slim-down to two slow tests

* clean-up: slim-down fast tests

* fix: batch consistent tests

* clean-up: make style

* clean-up: remove vae slicing fast test

* clean-up: propagate changes to doc

* fix: increase test tol to 1e-2

* clean-up: finish docs

* clean-up: make style

* feat: vocoder / VAE compatibility check

* feat: possibly expand / cut audio waveform

* fix: pipeline call signature test

* fix: slow tests output len

* clean-up: make style

* make style

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

* add contronet flax

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

* initial TokenEncoder and ContinuousEncoder

* initial modules

* added ContinuousContextTransformer

* fix copy paste error

* use numpy for get_sequence_length

* initial terminal relative positional encodings

* fix weights keys

* fix assert

* cross attend style: concat encodings

* make style

* concat once

* fix formatting

* Initial SpectrogramPipeline

* fix input_tokens

* make style

* added mel output

* ignore weights for config

* move mel to numpy

* import pipeline

* fix class names and import

* moved models to models folder

* import ContinuousContextTransformer and SpectrogramDiffusionPipeline

* initial spec diffusion converstion script

* renamed config to t5config

* added weight loading

* use arguments instead of t5config

* broadcast noise time to batch dim

* fix call

* added scale_to_features

* fix weights

* transpose laynorm weight

* scale is a vector

* scale the query outputs

* added comment

* undo scaling

* undo depth_scaling

* inital get_extended_attention_mask

* attention_mask is none in self-attention

* cleanup

* manually invert attention

* nn.linear need bias=False

* added T5LayerFFCond

* remove to fix conflict

* make style and dummy

* remove unsed variables

* remove predict_epsilon

* Move accelerate to a soft-dependency (#1134)

* finish

* finish

* Update src/diffusers/modeling_utils.py

* Update src/diffusers/pipeline_utils.py
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* more fixes

* fix
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* fix order

* added initial midi to note token data pipeline

* added int to int tokenizer

* remove duplicate

* added logic for segments

* add melgan to pipeline

* move autoregressive gen into pipeline

* added note_representation_processor_chain

* fix dtypes

* remove immutabledict req

* initial doc

* use np.where

* require note_seq

* fix typo

* update dependency

* added note-seq to test

* added is_note_seq_available

* fix import

* added toc

* added example usage

* undo for now

* moved docs

* fix merge

* fix imports

* predict first segment

* avoid un-needed copy to and from cpu

* make style

* Copyright

* fix style

* add test and fix inference steps

* remove bogus files

* reorder models

* up

* remove transformers dependency

* make work with diffusers cross attention

* clean more

* remove @

* improve further

* up

* uP

* Apply suggestions from code review

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py

* loop over all tokens

* make style

* Added a section on the model

* fix formatting

* grammer

* formatting

* make fix-copies

* Update src/diffusers/pipelines/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/spectrogram_diffusion/pipeline_spectrogram_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* added callback ad optional ionnx

* do not squeeze batch dim

* clean up more

* upload

* convert jax to nnumpy

* make style

* fix warning

* make fix-copies

* fix warning

* add initial fast tests

* add initial pipeline_params

* eval mode due to dropout

* skip batch tests as pipeline runs on a single file

* make style

* fix relative path

* fix doc tests

* Update src/diffusers/models/t5_film_transformer.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/models/t5_film_transformer.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update docs/source/en/api/pipelines/spectrogram_diffusion.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add MidiProcessor

* format

* fix org

* Apply suggestions from code review

* Update tests/pipelines/spectrogram_diffusion/test_spectrogram_diffusion.py

* make style

* pin protobuf to <4

* fix formatting

* white space

* tensorboard needs protobuf

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>

* [MS Text To Video} Add first text to video

* upload

* make first model example

* match unet3d params

* make sure weights are correcctly converted

* improve

* forward pass works, but diff result

* make forward work

* fix more

* finish

* refactor video output class.

* feat: add support for a video export utility.

* fix: opencv availability check.

* run make fix-copies.

* add: docs for the model components.

* add: standalone pipeline doc.

* edit docstring of the pipeline.

* add: right path to TransformerTempModel

* add: first set of tests.

* complete fast tests for text to video.

* fix bug

* up

* three fast tests failing.

* add: note on slow tests

* make work with all schedulers

* apply styling.

* add slow tests

* change file name

* update

* more correction

* more fixes

* finish

* up

* Apply suggestions from code review

* up

* finish

* make copies

* fix pipeline tests

* fix more tests

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

* apply suggestions

* up

* revert

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* [From pretrained] Speed-up loading from cache

* up

* Fix more

* fix one more bug

* make style

* bigger refactor

* factor out function

* Improve more

* better

* deprecate return cache folder

* clean up

* improve tests

* up

* upload

* add nice tests

* simplify

* finish

* correct

* fix version

* rename

* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>

* rename

* correct doc string

* correct more

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

* apply code suggestions

* finish

---------
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* add docs

* correct

* finish

* Apply suggestions from code review
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* update deps table

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

---------
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* [Onnx] add Stable Diffusion Upscale pipeline

* add a test for the OnnxStableDiffusionUpscalePipeline

* check for VAE config before adjusting scaling factor

* update test assertions, lint fixes

* run fix-copies target

* switch test checkpoint to one hosted on huggingface

* partially restore attention mask

* reshape embeddings after running text encoder

* add longer nightly test for ONNX upscale pipeline

* use package import to fix tests

* fix scheduler compatibility and class labels dtype

* use more precise type

* remove LMS from fast tests

* lookup latent and timestamp types

* add docs for ONNX upscaling, rename lookup table

* replace deprecated pipeline names in ONNX docs

* add scaffold
- copied convert_controlnet_to_diffusers.py from
convert_original_stable_diffusion_to_diffusers.py

* Add support to load ControlNet (WIP)
- this makes Missking Key error on ControlNetModel

* Update to convert ControlNet without error msg
- init impl for StableDiffusionControlNetPipeline
- init impl for ControlNetModel

* cleanup of commented out

* split create_controlnet_diffusers_config()
from create_unet_diffusers_config()

- add config: hint_channels

* Add input_hint_block, input_zero_conv and
middle_block_out
- this makes missing key error on loading model

* add unet_2d_blocks_controlnet.py
- copied from unet_2d_blocks.py as impl CrossAttnDownBlock2D,DownBlock2D
- this makes missing key error on loading model

* Add loading for input_hint_block, zero_convs
and middle_block_out

- this makes no error message on model loading

* Copy from UNet2DConditionalModel except __init__

* Add ultra primitive test for ControlNetModel
inference

* Support ControlNetModel inference
- without exceptions

* copy forward() from UNet2DConditionModel

* Impl ControlledUNet2DConditionModel inference
- test_controlled_unet_inference passed

* Frozen weight & biases for training

* Minimized version of ControlNet/ControlledUnet
- test_modules_controllnet.py passed

* make style

* Add support model loading for minimized ver

* Remove all previous version files

* from_pretrained and inference test passed

* copied from pipeline_stable_diffusion.py
except `__init__()`

* Impl pipeline, pixel match test (almost) passed.

* make style

* make fix-copies

* Fix to add import ControlNet blocks
for `make fix-copies`

* Remove einops dependency

* Support  np.ndarray, PIL.Image for controlnet_hint

* set default config file as lllyasviel's

* Add support grayscale (hw) numpy array

* Add and update docstrings

* add control_net.mdx

* add control_net.mdx to toctree

* Update copyright year

* Fix to add PIL.Image RGB->BGR conversion
- thanks @Mystfit

* make fix-copies

* add basic fast test for controlnet

* add slow test for controlnet/unet

* Ignore down/up_block len check on ControlNet

* add a copy from test_stable_diffusion.py

* Accept controlnet_hint is None

* merge pipeline_stable_diffusion.py diff

* Update class name to SDControlNetPipeline

* make style

* Baseline fast test almost passed (w long desc)

* still needs investigate.

Following didn't passed descriped in TODO comment:
- test_stable_diffusion_long_prompt
- test_stable_diffusion_no_safety_checker

Following didn't passed same as stable_diffusion_pipeline:
- test_attention_slicing_forward_pass
- test_inference_batch_single_identical
- test_xformers_attention_forwardGenerator_pass
these seems come from calc accuracy.

* Add note comment related vae_scale_factor

* add test_stable_diffusion_controlnet_ddim

* add assertion for vae_scale_factor != 8

* slow test of pipeline almost passed
Failed: test_stable_diffusion_pipeline_with_model_offloading
- ImportError: `enable_model_offload` requires `accelerate v0.17.0` or higher

but currently latest version == 0.16.0

* test_stable_diffusion_long_prompt passed

* test_stable_diffusion_no_safety_checker passed

- due to its model size, move to slow test

* remove PoC test files

* fix num_of_image, prompt length issue add add test

* add support List[PIL.Image] for controlnet_hint

* wip

* all slow test passed

* make style

* update for slow test

* RGB(PIL)->BGR(ctrlnet) conversion

* fixes

* remove manual num_images_per_prompt test

* add document

* add `image` argument docstring

* make style

* Add line to correct conversion

* add controlnet_conditioning_scale (aka control_scales
strength)

* rgb channel ordering by default

* image batching logic

* Add control image descriptions for each checkpoint

* Only save controlnet model in conversion script

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py

typo
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/api/pipelines/stable_diffusion/control_net.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* add gerated image example

* a depth mask -> a depth map

* rename control_net.mdx to controlnet.mdx

* fix toc title

* add ControlNet abstruct and link

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py
Co-authored-by: dqueue <dbyqin@gmail.com>

* remove controlnet constructor arguments re: @patrickvonplaten

* [integration tests] test canny

* test_canny fixes

* [integration tests] test_depth

* [integration tests] test_hed

* [integration tests] test_mlsd

* add channel order config to controlnet

* [integration tests] test normal

* [integration tests] test_openpose test_scribble

* change height and width to default to conditioning image

* [integration tests] test seg

* style

* test_depth fix

* [integration tests] size fixes

* [integration tests] cpu offloading

* style

* generalize controlnet embedding

* fix conversion script

* Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Style adapted to the documentation of pix2pix

* merge main by hand

* style

* [docs] controlling generation doc nits

* correct some things

* add: controlnetmodel to autodoc.

* finish docs

* finish

* finish 2

* correct images

* finish controlnet

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

* uP

* upload model

* up

* up

---------
Co-authored-by: William Berman <WLBberman@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: dqueue <dbyqin@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Use "hub" directory for cache instead of "diffusers"

* Import cache locations from huggingface_hub

I verified that the constants are available in huggingface_hub version
0.10.0, which is the minimum we require.
Co-authored-by: Lucain Pouget <lucainp@gmail.com>

* make style

* Move cached directories to new location.

* make style

* Apply suggestions by @Wauplin
Co-authored-by: Lucain <lucainp@gmail.com>

* Fix is_file

* Ignore symlinks.

Especially important if we want to ensure that the user may want to invoke the
process again later, if they are keeping multiple envs with different
versions.

* Style

---------
Co-authored-by: Lucain Pouget <lucainp@gmail.com>

* attend and excite batch test causing timeouts

* pix2pix tests, no write to fs

Signed-off-by: daquexian <daquexian566@gmail.com>

* add MultiDiffusionPanorama pipeline

* fix docs naming

* update pipeline name, remove redundant tests

* apply styling.

* debugging information.

* fix: assertion values.

* fix-copies.

* update docs

* update docs

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

* add

* finish

* add tests

* add tests

* up

* up

* pull from main

* uP

* Apply suggestions from code review

* finish

* Update docs/source/en/_toctree.yml
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* finish

* clean docs

* next

* next

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

* up

* up

---------
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Add semantic guidance pipeline

* Fix style

* Refactor Pipeline

* Pipeline documentation

* Add documentation

* Fix style and quality

* Fix doctree

* Add tests for SEGA

* Update src/diffusers/pipelines/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Make compatible with half precision

* Change deprecation warning to throw an exception

* update

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

* attend and excite pipeline

* update

update docstring example

remove visualization

remove the base class attention control

remove dependency on stable diffusion pipeline

always apply gaussian filter with default setting

remove run_standard_sd argument

hardcode attention_res and scale_range (related to step size)

Update docs/source/en/api/pipelines/stable_diffusion/attend_and_excite.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Update tests/pipelines/stable_diffusion_2/test_stable_diffusion_attend_and_excite.py
Co-authored-by: Will Berman <wlbberman@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Will Berman <wlbberman@gmail.com>

Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
Co-authored-by: Will Berman <wlbberman@gmail.com>

revert test_float16_inference

revert change to the batch related tests

fix test_float16_inference

handle batch

remove the deprecation message

remove None check, step_size

remove debugging logging

add slow test

indices_to_alter -> indices

add check_input

* skip mps

* style

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* indices -> token_indices
---------
Co-authored-by: evin <evinpinarornek@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add UniPC scheduler

* add the return type to the functions

* code quality check

* add tests

* finish docs

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