patch

Solve issue #26

denoising_diffusion_pytorch/denoising_diffusion_pytorch.py

@@ -15,12 +15,17 @@ from torch.optim import Adam
 from torchvision import transforms, utils
 from PIL import Image
 
-from tqdm import tqdm
 from einops import rearrange, reduce
 from einops.layers.torch import Rearrange
 
 from ema_pytorch import EMA
 
+import sys
+if 'ipykernel' in sys.modules:
+    from tqdm.notebook import tqdm
+else:
+    from tqdm import tqdm
+
 # helpers functions
 
 def exists(x):

denoising_diffusion_pytorch/elucidated_diffusion.py

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

setup.py

@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'denoising-diffusion-pytorch',
   packages = find_packages(),
-  version = '0.23.0',
+  version = '0.23.2',
   license='MIT',
   description = 'Denoising Diffusion Probabilistic Models - Pytorch',
   author = 'Phil Wang',