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fix: dont add noise when t=0 && save iteration figure in DDPM sample

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snsd0805 2023-03-14 18:16:56 +08:00
parent 25e6a5ff62
commit 79e8f37f5b
Signed by: snsd0805
GPG Key ID: 569349933C77A854
1 changed files with 13 additions and 1 deletions
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ddpm.py
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@ -77,9 +77,21 @@ class DDPM(nn.Module):
beta = self.beta[time_seq][:, None, None, None].repeat(1, c, h, w) beta = self.beta[time_seq][:, None, None, None].repeat(1, c, h, w)
z = torch.randn((n, c, h, w)).to(self.device) if i!= 0:
z = torch.randn((n, c, h, w)).to(self.device)
else:
z = torch.zeros((n, c, h, w)).to(self.device)
x_t = first_term * (x_t-(second_term * predict_noise)) - z * beta x_t = first_term * (x_t-(second_term * predict_noise)) - z * beta
if i % (self.iteration/10) == 0:
p = x_t[0].cpu()
p = ( p.clamp(-1, 1) + 1 ) / 2
p = p * 255
p = p.permute(1, 2, 0)
plt.imshow(p, vmin=0, vmax=255, cmap='gray')
plt.savefig("output/iter_{}.png".format(i))
x_t = ( x_t.clamp(-1, 1) + 1 ) / 2 x_t = ( x_t.clamp(-1, 1) + 1 ) / 2
x_t = x_t * 255 x_t = x_t * 255
return x_t return x_t