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* configurable layers

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* add layer test, update readme, add nargs

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* remove print, change nargs

* test arg change

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* add latent caching + smol updates

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* 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

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* Fix typos

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* SD3 training fixes
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* add clip text-encoder training

* no dora

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* minor readme change

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* Trim all the trailing white space in the whole repo

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* change to logit_normal as the weighting scheme

* sensible default mote

* initial commit

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* better text

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becasue in  Readme  it was not correct
train_dreambooth_sd3.py to train_dreambooth_lora_sd3

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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/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'

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