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+ # Dummy diffusion model following architecture of https://github.com/lucidrains/denoising-diffusion-pytorch
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+
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+ Run the model as follows:
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+
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+ ```python
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+ from diffusers import UNetModel
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+ import torch
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+
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+ model = UNetModel.from_pretrained("fusing/ddpm_dummy")
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+
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+ batch_size, num_channels, height, width = 1, 3, 32, 32
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+ dummy_noise = torch.tensor((batch_size, num_channels, height, width))
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+ image = model(dummy_noise)
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+ ```