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examples/textual_inversion/README.md
@@ -109,6 +109,9 @@ import torch
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model_id = "path-to-your-trained-model"
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pipe = StableDiffusionPipeline.from_pretrained(model_id,torch_dtype=torch.float16).to("cuda")
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+repo_id_embeds = "path-to-your-learned-embeds"
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+pipe.load_textual_inversion(repo_id_embeds)
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+
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prompt = "A <cat-toy> backpack"
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image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
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