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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 | |