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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 = AutoencoderKLAllegro.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 | |