default number of resnet blocks per layer in unet to 2 (in imagen it was 3 for base 64x64)

dalle2_pytorch/dalle2_pytorch.py

@@ -1347,7 +1347,7 @@ class Unet(nn.Module):
         init_dim = None,
         init_conv_kernel_size = 7,
         resnet_groups = 8,
-        num_resnet_blocks = 1,
+        num_resnet_blocks = 2,
         init_cross_embed_kernel_sizes = (3, 7, 15),
         cross_embed_downsample = False,
         cross_embed_downsample_kernel_sizes = (2, 4),

setup.py

@@ -10,7 +10,7 @@ setup(
       'dream = dalle2_pytorch.cli:dream'
     ],
   },
-  version = '0.6.0',
+  version = '0.6.1',
   license='MIT',
   description = 'DALL-E 2',
   author = 'Phil Wang',