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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 | |