* initial commit to add imagic to stable diffusion community pipelines
* remove some testing changes
* comments from PR review for imagic stable diffusion
* remove changes from pipeline_stable_diffusion as part of imagic pipeline
* clean up example code and add line back in to pipeline_stable_diffusion for imagic pipeline
* remove unused functions
* small code quality changes for imagic pipeline
* clean up readme
* remove hardcoded logging values for imagic community example
* undo change for DDIMScheduler
* [Better scheduler docs] Improve usage examples of schedulers
* finish
* fix warnings and add test
* finish
* more replacements
* adapt fast tests hf token
* correct more
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Integrate compatibility with euler
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* add textual inversion flax
* make style
* make style
* replicate vae and unet params
* make style
* minor
* save after end of training
* style
* Temporary fix
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Add Flax instruction
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Make training code usable by external scripts
Add parameter inputs to training and argument parsing function to allow this script to be used by an external call.
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* 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>
* 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>
* First draft
* created the SpeechToImagePipeline class
* Corrected speech_to_image_diffusion.py style
* Added safety checker
* Corrected style
* Adding examples to README
* 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>
MarkRich