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diffusers/docs/source/en/api
Ando 8ec0a5ccad feat: implement rae autoencoder. (#13046)
* feat: implement three RAE encoders(dinov2, siglip2, mae)

* feat: finish first version of autoencoder_rae

* fix formatting

* make fix-copies

* initial doc

* fix latent_mean / latent_var init types to accept config-friendly inputs

* use mean and std convention

* cleanup

* add rae to diffusers script

* use imports

* use attention

* remove unneeded class

* example traiing script

* input and ground truth sizes have to be the same

* fix argument

* move loss to training script

* cleanup

* simplify mixins

* fix training script

* fix entrypoint for instantiating the AutoencoderRAE

* added encoder_image_size config

* undo last change

* fixes from pretrained weights

* cleanups

* address reviews

* fix train script to use pretrained

* fix conversion script review

* latebt normalization buffers are now always registered with no-op defaults

* Update examples/research_projects/autoencoder_rae/README.md

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

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

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

* use image url

* Encoder is frozen

* fix slow test

* remove config

* use ModelTesterMixin and AutoencoderTesterMixin

* make quality

* strip final layernorm when converting

* _strip_final_layernorm_affine for training script

* fix test

* add dispatch forward and update conversion script

* update training script

* error out as soon as possible and add comments

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

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* use buffer

* inline

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

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* remove optional

* _noising takes a generator

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

Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>

* fix api

* rename

* remove unittest

* use randn_tensor

* fix device map on multigpu

* check if the key is missing in the original state dict and only then add to the allow_missing set

* remove initialize_weights

---------

Co-authored-by: wangyuqi <wangyuqi@MBP-FJDQNJTWYN-0208.local>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
2026-03-05 20:17:14 +05:30
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