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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 typically only a tiny fraction of the pretrained model's which making them very portable. 🤗 Diffusers provides an easy-to-use `LoaderMixin` API to load adapter weights.
<Tip warning={true}>
🧪 The `LoaderMixins` 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
## LoraLoaderMixin
[[autodoc]] loaders.LoraLoaderMixin
## FromSingleFileMixin
[[autodoc]] loaders.FromSingleFileMixin
## FromOriginalControlnetMixin
[[autodoc]] loaders.FromOriginalControlnetMixin
## FromOriginalVAEMixin
[[autodoc]] loaders.FromOriginalVAEMixin
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