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* add modelmixin and unets * remove old model page * minor fixes * fix unet2dcondition * add vqmodel and autoencoderkl * add rest of models * fix autoencoderkl path * fix toctree * fix toctree again * apply feedback * apply feedback * fix copies * fix controlnet copy * fix copies
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12 lines
584 B
Plaintext
# Models
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🤗 Diffusers provides pretrained models for popular algorithms and modules to create custom diffusion systems. The primary function of models is to denoise an input sample as modeled by the distribution \\(p_{\theta}(x_{t-1}|x_{t})\\).
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All models are built from the base [`ModelMixin`] class which is a [`torch.nn.module`](https://pytorch.org/docs/stable/generated/torch.nn.Module.html) providing basic functionality for saving and loading models, locally and from the Hugging Face Hub.
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## ModelMixin
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[[autodoc]] ModelMixin
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## FlaxModelMixin
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[[autodoc]] FlaxModelMixin |