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remove tensor_format in the new version

* Add --pretrained_model_name_revision option to train_dreambooth.py

* Renamed --pretrained_model_name_revision to --revision

* Docs: refer to pre-RC version of PyTorch 1.13.0.

* Remove temporary workaround for unavailable op.

* Update comment to make it less ambiguous.

* Remove use of contiguous in mps.

It appears to not longer be necessary.

* Special case: use einsum for much better performance in mps

* Update mps docs.

* Minor doc update.

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

* Initial composable diffusion pipeline

* add composable stable diffusion to readme table

* Update examples/community/README.md

* Apply suggestions from code review

* Update examples/community/README.md

* Update examples/community/README.md

* Update examples/community/README.md

* up

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

* Update README.md

Additionally add FLAX so the model card can be slimmer and point to this page

* Find and replace all

* v-1-5 -> v1-5

* revert test changes

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

* Update docs/source/quicktour.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update README.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/quicktour.mdx
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update README.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Revert certain references to v1-5

* Docs changes

* Apply suggestions from code review
Co-authored-by: apolinario <joaopaulo.passos+multimodal@gmail.com>
Co-authored-by: anton-l <anton@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Initial Wildcard Stable Diffusion Pipeline

* Added some additional example usage

* style

* Added links in README and additional documentation

* Initial Wildcard Stable Diffusion Pipeline

* Added some additional example usage

* style

* Added links in README and additional documentation

* cleanup readme again

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

[Community Pipelines] fix pad_tokens_and_weights in lpw_stable_diffusion

* Add an underscore to filename if it already exists

* Use sha1sum hash instead of adding underscores

dont' use safety check when generating prior images

* First draft

* created the SpeechToImagePipeline class

* Corrected speech_to_image_diffusion.py style

* Added safety checker

* Corrected style

* Adding examples to README

Add --sample_batch_size=1 to the 8 GB dreambooth script

* [Community Pipelines] Long Prompt Weighting

* Update README.md

* fix

* style

* fix style

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

* allow fine-tuning text encoder

* fix a few things

* update readme

🎨 rename frame filename

Update README.md

Update README.md

Fix training push_to_hub (unconditional image generation): models were not saved before pushing to hub (#868)

Fix: models were not saved before pushing to hub.

* up

* Finish

* uP

* correct

* make style

* small change

* ✨ Add Stable Diffusion Interpolation Example

* 💄

 style

* Update examples/community/interpolate_stable_diffusion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Fix dreambooth loss type with prior preservation

* fix ema

* style

* add comment about copy

* style

* quality

* begin text2image script

* loading the datasets, preprocessing & transforms

* handle input features correctly

* add gradient checkpointing support

* fix output names

* run unet in train mode not text encoder

* use no_grad instead of freezing params

* default max steps None

* pad to longest

* don't pad when tokenizing

* fix encode on multi gpu

* fix stupid bug

* add random flip

* add ema

* fix ema

* put ema on cpu

* improve EMA model

* contiguous_format

* don't warp vae and text encode in accelerate

* remove no_grad

* use randn_like

* fix resize

* improve few things

* log epoch loss

* set log level

* don't log each step

* remove max_length from collate

* style

* add report_to option

* make scale_lr false by default

* add grad clipping

* add an option to use 8bit adam

* fix logging in multi-gpu, log every step

* more comments

* remove eval for now

* adress review comments

* add requirements file

* begin readme

* begin readme

* fix typo

* fix push to hub

* populate readme

* update readme

* remove use_auth_token from the script

* address some review comments

* better mixed precision support

* remove redundant to

* create ema model early

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

* better description for train_data_dir

* add diffusers in requirements

* update dataset_name_mapping

* update readme

* add inference example
Co-authored-by: anton-l <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Support deepspeed

* Dreambooth DeepSpeed documentation

* Remove unnecessary casts, documentation

Due to recent commits some casts to half precision are not necessary
anymore.

Mention that DeepSpeed's version of Adam is about 2x faster.

* Review comments

* Fix push_to_hub for dreambooth and textual_inversion

* Use repo.push_to_hub instead of push_to_hub

remove auth token from for TI test

up

remove use_auth_token