toy> is used in our prompt.


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prompt = "A <cat-toy> backpack"

image = pipe(prompt, num_inference_steps=50).images[0]
image.save("cat-backpack.png")
The function TextualInversionLoaderMixin.load_textual_inversion can not only
load textual embedding vectors saved in Diffusers’ format, but also embedding vectors
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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