GitLab

* Use HF Papers

* Apply style fixes

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* post release

* update

* fix deprecations

* remaining

* update

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* Fixed requests.get function call by adding timeout parameter.

* declare DIFFUSERS_REQUEST_TIMEOUT in constants and import when needed

* remove unneeded os import

* Apply style fixes

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* Update train_instruct_pix2pix.py

Fix inconsistent random transform in instruct_pix2pix

* Update train_instruct_pix2pix_sdxl.py

change licensing to 2025 from 2024.

* post release 0.32.0

* stylew

* post-release

* style

[train_instruct_pix2pix.py]Fix the LR schedulers when `num_train_epochs` is passed in a distributed training env (#9316)

Fixed pix2pix lr scheduler
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* post release

* fix quality

post release

* post release v0.28.0

* style

* Modularize instruct_pix2pix code

* quality check

* quality check

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* 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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* post-release

* quality

switch to logger.warning

* post release

* style

* Empty-Commit

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change to 2024

* added torch.compile for pix2pix

* required changes

* post release

* style

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* 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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* post release

* fix: variant test

* up

* fix: test

post release

* [Release 0.21] Bump version

* fix & remove

* fix more

* fix all, upload

* 0.20.0dev0

* make style

* 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
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