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# AutoencoderKLAllegro

The 3D variational autoencoder (VAE) model with KL loss used in [Allegro](https://github.com/rhymes-ai/Allegro) was introduced in [Allegro: Open the Black Box of Commercial-Level Video Generation Model](https://huggingface.co/papers/2410.15458) by RhymesAI.

The model can be loaded with the following code snippet.

```python
from diffusers import AutoencoderKLAllegro

vae = AutoencoderKLCogVideoX.from_pretrained("rhymes-ai/Allegro", subfolder="vae", torch_dtype=torch.float32).to("cuda")
```

## AutoencoderKLAllegro

[[autodoc]] AutoencoderKLAllegro
    - decode
    - encode
    - all

## AutoencoderKLOutput

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

## DecoderOutput

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