GitLab

post release

* post release v0.28.0

* style

* 7529 do not disable autocast for cuda devices

* Remove typecasting error check for non-mps platforms, as a correct autocast implementation makes it a non-issue

* add autocast fix to other training examples

* disable native_amp for dreambooth (sdxl)

* disable native_amp for pix2pix (sdxl)

* remove tests from remaining files

* disable native_amp on huggingface accelerator for every training example that uses it

* convert more usages of autocast to nullcontext, make style fixes

* make style fixes

* style.

* Empty-Commit

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

* apple mps: training support for SDXL LoRA

* sdxl: support training lora, dreambooth, t2i, pix2pix, and controlnet on apple mps

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

* post-release

* quality

switch to logger.warning

* post release

* style

* Empty-Commit

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

change to 2024

Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline (#6581)

* Enable image resizing to adjust its height and width in StableDiffusionXLInstructPix2PixPipeline

* Ensure that validation is performed at every 'validation_step', not at every step

* changes for pix2pix_sdxl

* style fix

* post release

* style

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

* Post Release: v0.24.0

* post pone deprecation

* post pone deprecation

* Add model_index.json

* add variant

* add variant

* Apply suggestions from code review

* reformat

* fix: textual_inversion.py

* fix: variant in model_info

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

* post release

* fix: variant test

* up

* fix: test

post release

* fix: how print training resume logs.

* propagate changes to text-to-image scripts.

* propagate changes to instructpix2pix.

* propagate changes to dreambooth

* propagate changes to custom diffusion and instructpix2pix

* propagate changes to kandinsky

* propagate changes to textual inv.

* debug

* fix: checkpointing.

* debug

* debug

* debug

* back to the square

* debug

* debug

* change condition order.

* debug

* debug

* debug

* debug

* revert to original

* clean

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

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* Add --vae_precision option to the SDXL pix2pix script so that we have the option of avoiding float32 overhead

* style

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Co-authored-by: bghira <bghira@users.github.com>

* honor the original license.

* train_instruct_pix2pix_xl -> train_instruct_pix2pix_sdxl

* 0.20.0dev0

* make style

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* [Community] Implementation of the IADB community pipeline (#3996)

* community pipeline: implementation of iadb

* iadb.py: reformat using black

* iadb.py: linting update

* add kandinsky to readme table (#4081)
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* [From Single File] Force accelerate to be installed (#4078)

force accelerate to be installed

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Support instruction pix2pix sdxl

* Clean up IP2P SDXL code

* Clean up IP2P SDXL code

* [IP2P and SDXL] clean up code

* [IP2P and SDXL] clean up code

* [IP2P and SDXL] clean up code

* [IP2P SDXL] Address code reviews

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews, add docs, tests

* [IP2P SDXL] Address code reviews

* [IP2P SDXL] Address code reviews

* [IP2P SDXL] Add README_SDXL

* [IP2P SDXL] Address code reviews

* [IP2P SDXL] Address code reviews

* [IP2P SDXL] Fix the copy problems

* [IP2P SDXL] Add license

* [IP2P SDXL] Add license

* [IP2P SDXL] Add license

* [IP2P SDXL] Address code reivew for selecting VAE andd others

* [IP2P SDXL] Update README_sdxl

* [IP2P SDXL] Update __init__

* [IP2P SDXL] Update dummy_torch_and_transformers_and_invisible_watermark_objects

* address patrick's comments and some additions to readmes.

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Co-authored-by: Harutatsu Akiyama <kf.zy.qin@gmail.com>
Co-authored-by: Thomas Chambon <36728882+tchambon@users.noreply.github.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* 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

* Post release

* Post release

Apply deprecations

* Post release

* fix more

* fix: norm group test for UNet3D.

* fix: unet rejig.

* fix: unwrapping when running validation inputs.

* unwrapping the unet too.

* fix: device.

* better unwrapping.

* unwrapping before ema.

* unwrapping.

* [Config] Fix config prints and save, load

* Only use potential nn.Modules for dtype and device

* Correct vae image processor

* make sure in_channels is not accessed directly

* make sure in channels is only accessed via config

* Make sure schedulers only access config attributes

* Make sure to access config in SAG

* Fix vae processor and make style

* add tests

* uP

* make style

* Fix more naming issues

* Final fix with vae config

* change more

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

* Apply same ruff settings as in transformers

See https://github.com/huggingface/transformers/blob/main/pyproject.toml

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* Apply new style rules

* Style
Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>

* style

* remove list, ruff wouldn't auto fix.

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Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>