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

The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.

* rename file

* rename attention

* fix more

* rename more

* up

* more deprecation imports

* fixes

* [Dreambooth] Editable number of class images

* 'class_num=None' bug fix

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

* add  intermediate logging
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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>

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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>

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

* [Examples] Remove datasets important that is not needed

* remove from lora tambien

* [LoRA] Make sure validation works in multi GPU setup

* more fixes

* up

Fix

* 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

* Add `lora` tag to the model tags

For lora training

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

* [docs] [dreambooth] note random crop

documenting default random crop behavior

unwrap model on multi gpu

* [lora] Log images when using tensorboard.

* Specify image format instead of transposing.

As discussed with @sayakpaul.

* Style

* 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

* Switch to huggingface_hub.ModelCard

* Remove modelcards dependency in favor of Jinja2