* Fix typos, update, add Copyright info, and trim trailing whitespaces * Update docs/source/en/api/loaders.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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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 very portable because they're typically only a tiny fraction of the pretrained model weights. 🤗 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