Update pipeline.py
Browse files- pipeline.py +7 -7
pipeline.py
CHANGED
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@@ -79,13 +79,14 @@ EXAMPLE_DOC_STRING = """
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)
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pipe.transformer = transformer
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pipe.text_encoder_2 = text_encoder_2
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pipe.to("cuda")
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prompt = "
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image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png")
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head_mask = np.
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head_mask[65:
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mask_image = Image.fromarray(head_mask)
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processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
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@@ -96,14 +97,13 @@ EXAMPLE_DOC_STRING = """
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image=image,
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control_image=control_image,
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mask_image=mask_image,
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height=1024,
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width=1024,
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num_inference_steps=30,
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strength=0.9,
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guidance_scale=
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generator=torch.Generator().manual_seed(42),
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).images[0]
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make_image_grid([image, control_image, mask_image, output], rows=1, cols=4).save("output.png")
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```
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"""
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)
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pipe.transformer = transformer
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pipe.text_encoder_2 = text_encoder_2
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pipe.enable_model_cpu_offload()
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pipe.to("cuda")
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prompt = "a blue robot singing opera with human-like expressions"
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image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png")
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head_mask = np.zeros_like(image)
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head_mask[65:580,300:642] = 255
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mask_image = Image.fromarray(head_mask)
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processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
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image=image,
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control_image=control_image,
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mask_image=mask_image,
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num_inference_steps=30,
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strength=0.9,
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guidance_scale=50.0,
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generator=torch.Generator().manual_seed(42),
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).images[0]
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make_image_grid([image, control_image, mask_image, output.resize(image.size)], rows=1, cols=4).save("output.png")
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```
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"""
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