fix data not being normalized to range of -1 to 1

denoising_diffusion_pytorch/denoising_diffusion_pytorch.py

@@ -554,7 +554,7 @@ class Trainer(object):
                 batches = num_to_groups(36, self.batch_size)
                 all_images_list = list(map(lambda n: self.ema_model.sample(batch_size=n), batches))
                 all_images = torch.cat(all_images_list, dim=0)
-                all_images = (all_images + 1) * 0.5
+                all_images = (all_images * 0.5) + 1
                 utils.save_image(all_images, str(RESULTS_FOLDER / f'sample-{milestone}.png'), nrow = 6)
                 self.save(milestone)
 

setup.py

@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'denoising-diffusion-pytorch',
   packages = find_packages(),
-  version = '0.6.5',
+  version = '0.6.4',
   license='MIT',
   description = 'Denoising Diffusion Probabilistic Models - Pytorch',
   author = 'Phil Wang',