* Fix potential type conversion errors in SDXL pipelines
* make sure vae stays in fp16
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Increase min accelerate ver to avoid OOM when mixed precision
* Rm re-instantiation of VAE
* Rm casting to float32
* Del unused models and free GPU
* Fix style
* Update textual_inversion.py
fixed safe_path bug in textual inversion training
* Update test_examples.py
update test_textual_inversion for updating saved file's name
* Update textual_inversion.py
fixed some formatting issues
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* empty PR
* init
* changes
* starting with the pipeline
* stable diff
* prev
* more things, getting started
* more functions
* makeing it more readable
* almost done testing
* var changes
* testing
* device
* device support
* maybe
* device malfunctions
* new new
* register
* testing
* exec does not work
* float
* change info
* change of architecture
* might work
* testing with colab
* more attn atuff
* stupid additions
* documenting and testing
* writing tests
* more docs
* tests and docs
* remove test
* empty PR
* init
* changes
* starting with the pipeline
* stable diff
* prev
* more things, getting started
* more functions
* makeing it more readable
* almost done testing
* var changes
* testing
* device
* device support
* maybe
* device malfunctions
* new new
* register
* testing
* exec does not work
* float
* change info
* change of architecture
* might work
* testing with colab
* more attn atuff
* stupid additions
* documenting and testing
* writing tests
* more docs
* tests and docs
* remove test
* change cross attention
* revert back
* tests
* reverting back to orig
* changes
* test passing
* pipeline changes
* before quality
* quality checks pass
* remove print statements
* doc fixes
* __init__ error something
* update docs, working on dim
* working on encoding
* doc fix
* more fixes
* no more dependent on 512*512
* update docs
* fixes
* test passing
* remove comment
* fixes and migration
* simpler tests
* doc changes
* green CI
* changes
* more docs
* changes
* new images
* to community examples
* selete
* more fixes
* changes
* fix
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* dreambooth training
* train_dreambooth validation scheduler
* set a particular scheduler via a string
* modify readme after setting a particular scheduler via a string
* modify readme after setting a particular scheduler
* use importlib to set a particular scheduler
* import with correct sort
* Add SDXL long weighted prompt pipeline
* Add SDXL long weighted prompt pipeline usage sample in the readme document
* Add SDXL long weighted prompt pipeline usage sample in the readme document, add result image
* make safetensors default
* set default save method as safetensors
* update tests
* update to support saving safetensors
* update test to account for safetensors default
* update example tests to use safetensors
* update example to support safetensors
* update unet tests for safetensors
* fix failing loader tests
* fix qc issues
* fix pipeline tests
* fix example test
---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* add: train to text image with sdxl script.
Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>
* fix: partial func.
* fix: default value of output_dir.
* make style
* set num inference steps to 25.
* remove mentions of LoRA.
* up min version
* add: ema cli arg
* run device placement while running step.
* precompute vae encodings too.
* fix
* debug
* should work now.
* debug
* debug
* goes alright?
* style
* debugging
* debugging
* debugging
* debugging
* fix
* reinit scheduler if prediction_type was passed.
* akways cast vae in float32
* better handling of snr.
Co-authored-by: bghira <bghira@users.github.com>
* the vae should be also passed
* add: docs.
* add: sdlx t2i tests
* save the pipeline
* autocast.
* fix: save_model_card
* fix: save_model_card.
---------
Co-authored-by: CaptnSeraph <s3raph1m@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: bghira <bghira@users.github.com>
* add train_text_to_image_lora_sdxl.py
* add train_text_to_image_lora_sdxl.py
* add test and minor fix
* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* fix unwrap_model rule
* add invisible-watermark in requirements
* del invisible-watermark
* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update examples/text_to_image/README_sdxl.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update examples/text_to_image/train_text_to_image_lora_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* del comment & update readme
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* added placeholder token concatenation during training
* Update examples/textual_inversion/textual_inversion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add zero123 pipeline to community
* add community doc
* reformat
* update zero123 pipeline, including cc_projection within diffusers; add convert ckpt scripts; support diffusers weights
* [SDXL-IP2P] Add gif for demonstrating training processes
* [SDXL-IP2P] Add gif for demonstrating training processes
* [SDXL-IP2P] Change gif to URLs
* [SDXL-IP2P] Add URLs in case gif now show
---------
Co-authored-by: Harutatsu Akiyama <kf.zy.qin@gmail.com>
