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* add lora_alpha and lora_dropout

* Apply style fixes

* add lora_alpha and lora_dropout

* Apply style fixes

* revert lora_alpha until #11324 is merged

* Apply style fixes

* empty commit

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* Fix typos in docs and comments

* Apply style fixes

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* post release

* update

* fix deprecations

* remaining

* update

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* update

* update

* update

* update

* Fix seed initialization to handle args.seed = 0 correctly

* Apply style fixes

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change licensing to 2025 from 2024.

* add ds support to lora sd3.
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* style.

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* post release 0.32.0

* stylew

* smol change to fix checkpoint saving & resuming (as done in train_dreambooth_sd3.py)

* style

* modify comment to explain reasoning behind hidden size check

* use the lr when using 8bit adam.

* remove lr as we pack it in params_to_optimize.

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* configurable layers

* configurable layers

* update README

* style

* add test

* style

* add layer test, update readme, add nargs

* readme

* test style

* remove print, change nargs

* test arg change

* style

* revert nargs 2/2

* address sayaks comments

* style

* address sayaks comments

* improve readme

* style

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* post-release

* style

* add latent caching + smol updates

* update license

* replace with free_memory

* add --upcast_before_saving to allow saving transformer weights in lower precision

* fix models to accumulate

* fix mixed precision issue as proposed in https://github.com/huggingface/diffusers/pull/9565



* smol update to readme

* style

* fix caching latents

* style

* add tests for latent caching

* style

* fix latent caching

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* fix: retain memory utility.

* fix

* quality

* free_memory.

* Fix dtype error

* [bugfix] Fixed the issue on sd3 dreambooth training

* [bugfix] Fixed the issue on sd3 dreambooth training

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* post release

* fix quality

* SD3 training fixes
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* rewrite noise addition part to respect the eqn.

* styler

* Update examples/dreambooth/README_sd3.md
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* Improve trainer model cards

* Update train_dreambooth_sd3.py

* Update train_dreambooth_lora_sd3.py

* add link to adapters loading doc

* Update train_dreambooth_lora_sd3.py

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* fix

* fix things.
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* remove patch

* apply suggestions

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* add clip text-encoder training

* no dora

* text encoder traing fixes

* text encoder traing fixes

* text encoder training fixes

* text encoder training fixes

* text encoder training fixes

* text encoder training fixes

* add text_encoder layers to save_lora

* style

* fix imports

* style

* fix text encoder

* review changes

* review changes

* review changes

* minor change

* add lora tag

* style

* add readme notes

* add tests for clip encoders

* style

* typo

* fixes

* style

* Update tests/lora/test_lora_layers_sd3.py
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* Update examples/dreambooth/README_sd3.md
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* minor readme change

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* Fix typos & improve contributing page

* `make style && make quality`

* fix typos

* Fix typo

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* Update train_dreambooth_lora_sd3.py

* Update train_dreambooth_lora_sd3.py

* Update train_dreambooth_sd3.py

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* change to logit_normal as the weighting scheme

* sensible default mote

refactor the density and weighting utilities.

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* initial commit

* default back to 77

* better text

* text correction

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Fix the deletion of SD3 text encoders for Dreambooth/LoRA training if the text encoders are not being trained (#8536)

* Update train_dreambooth_sd3.py to fix TE garbage collection

* Update train_dreambooth_lora_sd3.py to fix TE garbage collection

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* Add lognorm and cosmap weighting

* Implement mode sampling

* Update examples/dreambooth/train_dreambooth_lora_sd3.py

* Update examples/dreambooth/train_dreambooth_lora_sd3.py

* Update examples/dreambooth/train_dreambooth_sd3.py

* Update examples/dreambooth/train_dreambooth_sd3.py

* Update examples/dreambooth/train_dreambooth_sd3.py

* Update examples/dreambooth/train_dreambooth_lora_sd3.py

* Update examples/dreambooth/train_dreambooth_sd3.py

* Update examples/dreambooth/train_dreambooth_sd3.py

* Update examples/dreambooth/train_dreambooth_lora_sd3.py

* keep timestamp sampling fully on cpu

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post release

* up

* add sd3

* update

* update

* add tests

* fix copies

* fix docs

* update

* add dreambooth lora

* add LoRA

* update

* update

* update

* update

* import fix

* update

* Update src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3.py
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* import fix 2

* update

* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* Update src/diffusers/models/autoencoders/autoencoder_kl.py
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* update

* update

* update

* fix ckpt id

* fix more ids

* update

* missing doc

* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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* Update src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
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* Update docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md
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* update'

* fix

* update

* Update src/diffusers/models/autoencoders/autoencoder_kl.py

* Update src/diffusers/models/autoencoders/autoencoder_kl.py

* note on gated access.

* requirements

* licensing

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* post release v0.28.0

* style

Fixed few docstrings according to the Google Style Guide.

* 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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* apple mps: training support for SDXL LoRA

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

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* add kohya conversion dict.

* update readme

* typo

* add filename