# 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. 🧪 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`. ## 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