diffusers_repo/docs/source/en/api/models/autoencoderkl_magvit.md

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# AutoencoderKLMagvit

The 3D variational autoencoder (VAE) model with KL loss used in [EasyAnimate](https://github.com/aigc-apps/EasyAnimate) was introduced by Alibaba PAI.

The model can be loaded with the following code snippet.

```python
from diffusers import AutoencoderKLMagvit

vae = AutoencoderKLMagvit.from_pretrained("alibaba-pai/EasyAnimateV5.1-12b-zh", subfolder="vae", torch_dtype=torch.float16).to("cuda")
```

## AutoencoderKLMagvit

[[autodoc]] AutoencoderKLMagvit
    - decode
    - encode
    - all

## AutoencoderKLOutput

[[autodoc]] models.autoencoders.autoencoder_kl.AutoencoderKLOutput

## DecoderOutput

[[autodoc]] models.autoencoders.vae.DecoderOutput