GitLab

* 👽

 qol improvements for LoRA.

* better function name?

* fix: LoRA weight loading with the new format.

* address Patrick's comments.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* change wording around encouraging the use of load_lora_weights().

* fix: function name.

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

* Post release

* fix more

* Update train_dreambooth_lora.py

fix bug

* Update train_dreambooth_lora.py

* add: LoRA text encoder support for DreamBooth example.

* fix initialization.

* fix: modification call.

* add: entry in the readme.

* use dog dataset from hub.

* fix: params to clip.

* add entry to the LoRA doc.

* add: tests for lora.

* remove unnecessary list comprehension./

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

* 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 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

* [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>

* [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>

* [lora] Log images when using tensorboard.

* Specify image format instead of transposing.

As discussed with @sayakpaul.

* Style

add --dataloader_num_workers argument

* Create repo before cloning in examples

* code quality

* [Lora] up lora training

* finish

* finish

* finish model card

* [Lora] first upload

* add first lora version

* upload

* more

* first training

* up

* correct

* improve

* finish loaders and inference

* up

* up

* fix more

* up

* finish more

* finish more

* up

* up

* change year

* revert year change

* Change lines

* Add cloneofsimo as co-author.
Co-authored-by: Simo Ryu <cloneofsimo@gmail.com>

* finish

* fix docs

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

* upload

* finish
Co-authored-by: Simo Ryu <cloneofsimo@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* [dreambooth] low precision guard

* fix

* add docs to cli args

* Update examples/dreambooth/train_dreambooth.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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