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| http://www.apache.org/licenses/LICENSE-2.0 |
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| # Loaders |
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| 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. |
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| <Tip warning={true}> |
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| 🧪 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`. |
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| </Tip> |
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| ## UNet2DConditionLoadersMixin |
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| [[autodoc]] loaders.UNet2DConditionLoadersMixin |
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| ## TextualInversionLoaderMixin |
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| [[autodoc]] loaders.TextualInversionLoaderMixin |
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| ## LoraLoaderMixin |
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| [[autodoc]] loaders.LoraLoaderMixin |
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| ## FromSingleFileMixin |
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| [[autodoc]] loaders.FromSingleFileMixin |
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| ## FromOriginalControlnetMixin |
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| [[autodoc]] loaders.FromOriginalControlnetMixin |
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| ## FromOriginalVAEMixin |
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| [[autodoc]] loaders.FromOriginalVAEMixin |
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