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8408775cfc |
@@ -168,7 +168,7 @@ class ElucidatedDiffusion(nn.Module):
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for sigma, sigma_next, gamma in tqdm(sigmas_and_gammas, desc = 'sampling time step'):
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sigma, sigma_next, gamma = map(lambda t: t.item(), (sigma, sigma_next, gamma))
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eps = gamma * torch.randn(shape, device = self.device)
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eps = self.S_noise * torch.randn(shape, device = self.device) # stochastic sampling
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sigma_hat = sigma + gamma * sigma
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images_hat = images + sqrt(sigma_hat ** 2 - sigma ** 2) * eps
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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 = '0.23.0',
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version = '0.23.1',
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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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