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Update README.md (#4)
Browse files- Update README.md (510d4b237b0966a78e4dd8475672aa9c17d5361d)
Co-authored-by: Daniel Gu <dg845@users.noreply.huggingface.co>
README.md
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@@ -56,7 +56,7 @@ from diffusers import UniDiffuserPipeline
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device = "cuda"
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model_id_or_path = "thu-ml/unidiffuser-v1"
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pipe = UniDiffuserPipeline.from_pretrained(model_id_or_path)
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pipe.to(device)
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# Joint image-text generation. The generation task is automatically inferred.
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@@ -89,7 +89,7 @@ init_image = init_image.resize((512, 512))
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sample = pipe(image=init_image, num_inference_steps=20, guidance_scale=8.0)
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i2t_text = sample.text[0]
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print(
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# Image variation can be performed with a image-to-text generation followed by a text-to-image generation:
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sample = pipe(prompt=i2t_text, num_inference_steps=20, guidance_scale=8.0)
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device = "cuda"
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model_id_or_path = "thu-ml/unidiffuser-v1"
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pipe = UniDiffuserPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16)
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pipe.to(device)
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# Joint image-text generation. The generation task is automatically inferred.
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sample = pipe(image=init_image, num_inference_steps=20, guidance_scale=8.0)
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i2t_text = sample.text[0]
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print(i2t_text)
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# Image variation can be performed with a image-to-text generation followed by a text-to-image generation:
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sample = pipe(prompt=i2t_text, num_inference_steps=20, guidance_scale=8.0)
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