loaders.md

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# Loaders

Adapters (textual inversion, LoRA, hypernetworks) allow you to modify a diffusion model to generate images in a specific style without training or finetuning the entire model. The adapter weights are very portable because they're typically only a tiny fraction of the pretrained model weights. 🤗 Diffusers provides an easy-to-use `LoaderMixin` API to load adapter weights.

<Tip warning={true}>

🧪 The `LoaderMixin`s are highly experimental and prone to future changes. To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `huggingface-cli login`.

</Tip>

## UNet2DConditionLoadersMixin

[[autodoc]] loaders.UNet2DConditionLoadersMixin

## TextualInversionLoaderMixin

[[autodoc]] loaders.TextualInversionLoaderMixin

## StableDiffusionXLLoraLoaderMixin

[[autodoc]] loaders.StableDiffusionXLLoraLoaderMixin

## LoraLoaderMixin

[[autodoc]] loaders.LoraLoaderMixin

## FromSingleFileMixin

[[autodoc]] loaders.FromSingleFileMixin

## FromOriginalControlnetMixin

[[autodoc]] loaders.FromOriginalControlnetMixin

## FromOriginalVAEMixin

[[autodoc]] loaders.FromOriginalVAEMixin