saved in Automatic1111 format.
To do so, you can first download an embedding vector from civitAI
and then load it locally:


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pipe.load_textual_inversion("./charturnerv2.pt")

JAX

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Currently there is no load_textual_inversion function for Flax so one has to make sure the textual inversion
embedding vector is saved as part of the model after training.
The model can then be run just like any other Flax model:


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im