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a4c68d3569 |
@@ -357,7 +357,7 @@ class GaussianDiffusion(nn.Module):
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@torch.no_grad()
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def sample(self, image_size, batch_size = 16):
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return self.p_sample_loop((16, 3, image_size, image_size))
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return self.p_sample_loop((batch_size, 3, image_size, image_size))
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@torch.no_grad()
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def interpolate(self, x1, x2, t = None, lam = 0.5):
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@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
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setup(
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name = 'denoising-diffusion-pytorch',
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packages = find_packages(),
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version = '0.3.0',
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version = '0.3.1',
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license='MIT',
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description = 'Denoising Diffusion Probabilistic Models - Pytorch',
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author = 'Phil Wang',
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