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  1. README.md +2 -2
README.md CHANGED
@@ -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.
@@ -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(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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  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)