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* Add guidance start/end parameters to community controlnet img2img pipeline

* Fix formats

* [Img2Img]: Copyover img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

* [Img2Img]: img2img pipeline

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

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

* first refactor

* more text

* improve

* finish

* up

* up

* up

* up

* finish

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* up

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

* finished

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

* finished

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

Update numbers for Habana Gaudi in doc

* add: controlnet entry to training section in the docs.

* formatting.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* wrap in a tip block.

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

Fix typos

Fix typos

Fix typos

Fix typos

Fix typos

Fix typos

* [Tests] Correct PT2

* correct more

* move versatile to nightly

* up

* up

* again

* Apply suggestions from code review

* updated black format

* update black format

* make style format

* updated line endings

* update code formatting

* Update examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

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

* added vae gradient checkpointing test

* make style

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

* minor edits to onnx and openvino docs.

* Apply suggestions from code review
Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

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Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

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

Improve error message

add safety checker

* Adding `use_safetensors` argument to give more control to users

about which weights they use.

* Doc style.

* Rebased (not functional).

* Rebased and functional with tests.

* Style.

* Apply suggestions from code review

* Style.

* Addressing comments.

* Update tests/test_pipelines.py
Co-authored-by: Will Berman <wlbberman@gmail.com>

* Black ???

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

* rename file

* rename attention

* fix more

* rename more

* up

* more deprecation imports

* fixes

* reorg toc

* reorg toc some more

* remove duplicate config

* create updated nav for index

* fix header

* apply feedback

* add overviews to each section

* fix typo in toctree

* apply feedbacks

* add image_processor

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

Fix typos

Fix typos

Fix typos

Fix typos

Fix typos

Fix typos

* fix AttnProcessor2_0

Fix use of AttnProcessor2_0 for cross attention with mask

* added scale_qk and out_bias flags

* fixed for xformers

* check if it has scale argument

* Update cross_attention.py

* check torch version

* fix sliced attn

* style

* set scale

* fix test

* fixed addedKV processor

* revert back AttnProcessor2_0

* if missing if

* fix inner_dim

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

* Update Dockerfile CUDA

* Apply suggestions from code review

fix: slow serialization tests

* add a documentation page for evaluating diffuion models.

* fix: checkpoint link.

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

* formatting fixes.

* formatting fixes.

* link to partiprompts dataset on hub.

* reflect on Pedro's comments.
Co-authored-by: Pedro <pedro@huggingface.co>

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

* reflect on Pedro's comments.
Co-authored-by: Pedro <pedro@huggingface.co>

* update mention of FID.

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

* minor nit.

* finish edges and add colab notebook.

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

* run formatting.

* additional feedback.

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: Pedro <pedro@huggingface.co>
Co-authored-by: Will Berman <wlbberman@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Controlnet training code initial commit

Works with circle dataset: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md



* Script for adding a controlnet to existing model

* Fix control image transform

Control image should be in 0..1 range.

* Add license header and remove more unused configs

* controlnet training readme

* Allow nonlocal model in add_controlnet.py

* Formatting

* Remove unused code

* Code quality

* Initialize controlnet in training script

* Formatting

* Address review comments

* doc style

* explicit constructor args and submodule names

* hub dataset

NOTE -  not tested

* empty prompts

* add conditioning image

* rename

* remove instance data dir

* image_transforms -> -1,1 . conditioning_image_transformers -> 0, 1

* nits

* remove local rank config

I think this isn't necessary in any of our training scripts

* validation images

* proportion_empty_prompts typo

* weight copying to controlnet bug

* call log validation fix

* fix

* gitignore wandb

* fix progress bar and resume from checkpoint iteration

* initial step fix

* log multiple images

* fix

* fixes

* tracker project name configurable

* misc

* add controlnet requirements.txt

* update docs

* image labels

* small fixes

* log validation using existing models for pipeline

* fix for deepspeed saving

* memory usage docs

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/train_controlnet.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update examples/controlnet/README.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* remove extra is main process check

* link to dataset in intro paragraph

* remove unnecessary paragraph

* note on deepspeed

* Update examples/controlnet/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* assert -> value error

* weights and biases note

* move images out of git

* remove .gitignore

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

* Add support for different model prediction types in DDIMInverseScheduler
Resolve alpha_prod_t_prev index issue for final step of inversion

* Fix old bug introduced when prediction type is "sample"

* Add support for sample clipping for numerical stability and deprecate old kwarg

* Detach sample, alphas, betas

Derive predicted noise from model output before dist. regularization

Style cleanup

* Log loss for debugging

* Revert "Log loss for debugging"

This reverts commit 76ea9c856f99f4c8eca45a0b1801593bb982584b.

* Add comments

* Add inversion equivalence test

* Add expected data for Pix2PixZero pipeline tests with SD 2

* Update tests/pipelines/stable_diffusion/test_stable_diffusion_pix2pix_zero.py

* Remove cruft and add more explanatory comments

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