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Download diffusers/docs/source/en/api/models/autoencoderkl_mochi.md from Ouzhang/helios: direct link, hf CLI and curl.
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AutoencoderKLMochi
The 3D variational autoencoder (VAE) model with KL loss used in Mochi was introduced in Mochi 1 Preview by Tsinghua University & ZhipuAI.
The model can be loaded with the following code snippet.
from diffusers import AutoencoderKLMochi
vae = AutoencoderKLMochi.from_pretrained("genmo/mochi-1-preview", subfolder="vae", torch_dtype=torch.float32).to("cuda")
AutoencoderKLMochi
[[autodoc]] AutoencoderKLMochi - decode - all
DecoderOutput
[[autodoc]] models.autoencoders.vae.DecoderOutput