| <!-- Copyright 2025 The HuggingFace Team. All rights reserved. | |
| Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with | |
| the License. You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on | |
| an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the | |
| specific language governing permissions and limitations under the License. --> | |
| # AutoencoderKLMochi | |
| The 3D variational autoencoder (VAE) model with KL loss used in [Mochi](https://github.com/genmoai/models) was introduced in [Mochi 1 Preview](https://huggingface.co/genmo/mochi-1-preview) by Tsinghua University & ZhipuAI. | |
| The model can be loaded with the following code snippet. | |
| ```python | |
| 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 | |