GitLab

* Fix typos

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

* fix img2vid; update to latest ip-adapter impl

* update README

* update animatediff controlnet to latest impl

* modularize log validation

* run make style

* revert import wandb

* fix code quality & import wandb

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

* modulize log validation

* run make style and refactor wanddb support

* remove redundant initialization

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

* fix denoising start

* fix tests

* remove debug

Refactor StableDiffusionReferencePipeline to inherit from DiffusionPipeline rather than StableDiffusionPipeline

* Refactor save_model_card function to handle images and repo_folder parameters

* Discard changes to examples/text_to_image/train_text_to_image.py

* Discard changes to examples/text_to_image/train_text_to_image_lora_sdxl.py

* Update train_text_to_image_lora.py

* Update train_text_to_image_sdxl.py

* make checkpoint_merger pipeline pass the "variant" argument to from_pretrained()

* make style

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Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Update copyright information and fix typos in text_to_image examples

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add stable_diffusion_xl_ipex community pipeline

* make style for code quality check

* update docs as suggested

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

* Update textual_inversion.py

* Apply suggestions from code review

* Update textual_inversion.py

* Update textual_inversion.py

* Update textual_inversion.py

* Update textual_inversion.py

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

* Update textual_inversion.py

* styling

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

* standardize model card

* fix tags

* correct import styling and update tags

* run make style and make quality

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

* Fix words

* Fix

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Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Bugfix: correct import for diffusers

* Fix: Prompt2Prompt example

* Format style

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Co-authored-by: YiYi Xu <yixu310@gmail.com>

* fix bug in micro-conditioning of class images

* fix bug in micro-conditioning of class images

* style

* Updated lora inference instructions

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

* Update README.md

* Update README.md

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

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

standardize model card template t21-adapter-sdxl

* standardize model card template t2i-lora-sdxl

* type annotations

standardize model card template t2i-sdxl

standardize model card t2i-lora

* standardize model card

* fix base_model

* post release

* style

* Empty-Commit

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

[FIX] IMPORTANT: rgb normalization

* controlnet

* style

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

controlnet-sdxl

* controlnet-flax

* style

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

* Fix Compatibility Issues in stable_diffusion_xl_reference.py

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Co-authored-by: wangshaoxiao <wangshaoxiao@xiaomi.com>

Remove <cat-toy> validation prompt from examples/textual_inversion/textual_inversion_sdxl.py (#6877)

Remove <cat-toy> validation prompt from textual_inversion_sdxl.py

The `<cat-toy>` validation prompt is a default choice for the example task in the README. But no other part of `textual_inversion_sdxl.py` references the cat toy and `textual_inversion.py` has a default validation prompt of `None` as well.

So bring `textual_inversion_sdxl.py` in line with `textual_inversion.py` and change default validation prompt to `None`

change to 2024

* Fix: training resume from fp16 for lcm distill lora sdxl

* Fix coding quality - run linter

* Fix 1 - shift mixed precision cast before optimizer

* Fix 2 - State dict errors by removing load_lora_into_unet

* Update train_lcm_distill_lora_sdxl.py - Revert default cache dir to None

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

* feat: standarize model card creation for dreambooth training.

* correct 'inference

* remove comments.

* take component out of kwargs

* style

* add: card template to have a leaner description.

* widget support.

* propagate changes to train_dreambooth_lora

* propagate changes to custom diffusion

* make widget properly type-annotated