GitLab

refactor save_model_card utility in dreambooth examples.

* DataLoader will now bake in any transforms or image manipulations contained in the EXIF

Images may have rotations stored in EXIF. Training using such images will cause those transforms to be ignored while training and thus produce unexpected results

* Fixed the Dataloading EXIF issue in main DreamBooth training as well

* Run make style (black & isort)

* Improve checkpointing lora

* fix more

* Improve doc string

* Update src/diffusers/loaders.py

* make stytle

* Apply suggestions from code review

* Update src/diffusers/loaders.py

* Apply suggestions from code review

* Apply suggestions from code review

* better

* Fix all

* Fix multi-GPU dreambooth

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

* Fix all

* make style

* make style

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update Dreambooth README

* Adapt all docs as well

* automatically write model card

* fix

* make style

* Post release

* fix more

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

* [Dreambooth] Editable number of class images

* 'class_num=None' bug fix

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

* add  intermediate logging
---------
Co-authored-by: yiyixuxu <yixu310@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>

* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes

* better accelerated saving

* up

* finish

* finish

* uP

* up

* up

* fix

* Apply suggestions from code review

* correct ema

* Remove @

* up

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

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

---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* [Examples] Remove datasets important that is not needed

* remove from lora tambien

* make scaling factor cnfig arg of vae

* fix

* make flake happy

* fix ldm

* fix upscaler

* qualirty

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* solve conflicts, addres some comments

* examples

* examples min version

* doc

* fix type

* typo

* Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* remove duplicate line

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

check the dtype before preparing model

* [Bump version] 0.13

* Bump model up

* up

* [docs] [dreambooth] note random crop

documenting default random crop behavior

unwrap model on multi gpu

* Dreambooth: use `optimizer.zero_grad(set_to_none=True)` to reduce VRAM usage

* Allow the user to control `optimizer.zero_grad(set_to_none=True)` with --set_grads_to_none

* Update Dreambooth readme

* Fix link in readme

* Fix header size in readme

add --dataloader_num_workers argument

* Create repo before cloning in examples

* code quality