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| # Textual Inversion | |
| Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images. The file produced from training is extremely small (a few KBs) and the new embeddings can be loaded into the text encoder. | |
| [`TextualInversionLoaderMixin`] provides a function for loading Textual Inversion embeddings from Diffusers and Automatic1111 into the text encoder and loading a special token to activate the embeddings. | |
| <Tip> | |
| To learn more about how to load Textual Inversion embeddings, see the [Textual Inversion](../../using-diffusers/loading_adapters#textual-inversion) loading guide. | |
| </Tip> | |
| ## TextualInversionLoaderMixin | |
| [[autodoc]] loaders.textual_inversion.TextualInversionLoaderMixin |