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always rederive the predicted noise from the clipped x0 for ddim + predict noise objective

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This commit is contained in:
Phil Wang
2023-03-05 10:45:44 -08:00
parent cc58f75474
commit 848e8a480a
2 changed files with 3 additions and 9 deletions
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10
dalle2_pytorch/dalle2_pytorch.py
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@@ -1334,10 +1334,7 @@ class DiffusionPrior(nn.Module):
# predict noise
if self.predict_x_start or self.predict_v:
pred_noise = self.noise_scheduler.predict_noise_from_start(image_embed, t = time_cond, x0 = x_start)
else:
pred_noise = pred
pred_noise = self.noise_scheduler.predict_noise_from_start(image_embed, t = time_cond, x0 = x_start)
if time_next < 0:
image_embed = x_start
@@ -2975,10 +2972,7 @@ class Decoder(nn.Module):
# predict noise
if predict_x_start or predict_v:
pred_noise = noise_scheduler.predict_noise_from_start(img, t = time_cond, x0 = x_start)
else:
pred_noise = pred
pred_noise = noise_scheduler.predict_noise_from_start(img, t = time_cond, x0 = x_start)
c1 = eta * ((1 - alpha / alpha_next) * (1 - alpha_next) / (1 - alpha)).sqrt()
c2 = ((1 - alpha_next) - torch.square(c1)).sqrt()

2
dalle2_pytorch/version.py
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@@ -1 +1 @@
__version__ = '1.12.2'
__version__ = '1.12.3'