GitLab

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* 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>

* 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>

* 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>

* 0.20.0dev0

* make style

* Multiply lr scheduler steps by `num_processes`.

* Stop multiplying steps by gradient accumulation.

* manual check for checkpoints_total_limit instead of using accelerate

* remove controlnet_conditioning_embedding_out_channels

* relax tolerance slightly

* correct incorrect naming

* Post release

* Post release

Apply deprecations

Expose num_cycles kwarg of get_schedule() through args.lr_num_cycles.

* Set --only_save_embeds to False by default

Due to how the option is named, it makes more sense to behave like this.

* Refactor only_save_embeds to save_as_full_pipeline

* Post release

* fix more

* Multi Vector

* Improve

* fix multi token

* improve test

* make style

* Update examples/test_examples.py

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* update

* Finish

* Apply suggestions from code review

---------
Co-authored-by: Suraj Patil <surajp815@gmail.com>

use upload folder in training scripts
Co-authored-by: testbot <lucainp@hf.co>

* Initial commit

* removed images

* Made logging the same as save

* Removed logging function

* Quality fixes

* Quality fixes

* Tested

* Added support back for validation_epochs

* Fixing styles

* Did changes

* Change to log_validation

* Add extra space after wandb import

* Add extra space after wandb
Co-authored-by: Will Berman <wlbberman@gmail.com>

* Fixed spacing

---------
Co-authored-by: Will Berman <wlbberman@gmail.com>

* add xformers 0.0.16 warning message

* fix version check to check whole version string

This reverts commit 024c4376.

* add total number checkpoints to training scripts

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

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

* Quality check and adding tokenizer

* Adapted stable diffusion to mixed precision+finished up style fixes

* Fixed based on patrick's review

* Fixed oom from number of validation images

* Removed unnecessary np.array conversion

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

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

* [Examples] Remove datasets important that is not needed

* remove from lora tambien

* Create convert_vae_pt_to_diffusers.py

Just a simple script to convert VAE.pt files to diffusers format
Tested with: https://huggingface.co/WarriorMama777/OrangeMixs/blob/main/VAEs/orangemix.vae.pt



* Update convert_vae_pt_to_diffusers.py

Forgot to add the function call

* make style

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