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+ # Unconditional Pothole Images Generation
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+
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+ ## Generating New Images
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+
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+ ```{python}
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+ from diffusers import DDPMPipeline
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+ import torch
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+ from PIL import Image
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+
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+ pipe = DDPMPipeline.from_pretrained("ridzy619/pothole-unconditional-generation")
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+
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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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+ pipe.to(device)
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+
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+ images = pipe(batch_size=16).images
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+
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+ def make_grid(images, rows, cols):
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+ w, h = images[0].size
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+ grid = Image.new('RGB', size=(cols*w, rows*h))
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+ for i, image in enumerate(images):
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+ grid.paste(image, box=(i%cols*w, i//cols*h))
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+ return grid
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+
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+ images_grid = make_grid(images, 4, 4)
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+ images_grid
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+
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+ ```