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Fix: Apply vae_shift_factor in ControlNet SD3 training

* post release v0.34.0

* code quality

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

fix wrong indent for training controlnet

* Use HF Papers

* Apply style fixes

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* post release

* update

* fix deprecations

* remaining

* update

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

* fix: SD3 ControlNet validation so that it runs on a A100.

* use backend-agnostic cache and pass devide.

[examples/controlnet/train_controlnet_sd3.py] Fixes #11050 - Cast prompt_embeds and pooled_prompt_embeds to weight_dtype to prevent dtype mismatch (#11051)

Fix: dtype mismatch of prompt embeddings in sd3 controlnet training
Co-authored-by: Andreas Jörg <andreasjoerg@MacBook-Pro-von-Andreas-2.fritz.box>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

change licensing to 2025 from 2024.

* post release 0.32.0

* stylew

* support sd3.5 in controlnet

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

* post-release

* style

* use make_image_grid in diffusers.utils

* use checkpoint on the Hub

* fix vae dtype when accelerate config using --mixed_precision="fp16"

* Add param for upcast vae

* fix: retain memory utility.

* fix

* quality

* free_memory.

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

* add controlnet sd3 example

* add controlnet sd3 example

* update controlnet sd3 example

* add controlnet sd3 example test

* fix quality and style

* update test

* update test

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

* post release

* fix quality

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>

* post-release

* quality

switch to logger.warning

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add dora tags for drambooth lora scripts

* style

* log_validation unification for controlnet.

* additional fixes.

* remove print.

* better reuse and loading

* make final inference run conditional.

* Update examples/controlnet/README_sdxl.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* resize the control image in the snippet.

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

* post release

* style

* Empty-Commit

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

* controlnet

* style

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

change to 2024

* update: make controlnet script torch compile compatible
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* update: correct earlier mistakes for compilation
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* update: fix code style issues
Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

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Signed-off-by: Suvaditya Mukherjee <suvadityamuk@gmail.com>

* 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

* [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.