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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.
🧪 The LoaderMixins
are highly experimental and prone to future changes. To use private or gated 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