cleanup

README.md

@@ -199,7 +199,7 @@ dalle2 = DALLE2(
     decoder = decoder
 )
 
-# send the text as a string if you want to use the simple tokenizer from DALL-E1
+# send the text as a string if you want to use the simple tokenizer from DALLE v1
 # or you can do it as token ids, if you have your own tokenizer
 
 texts = ['glistening morning dew on a flower petal']

dalle2_pytorch/dalle2_pytorch.py

@@ -877,7 +877,6 @@ class DALLE2(nn.Module):
             text = [text] if not isinstance(text, (list, tuple)) else text
             text = tokenizer.tokenize(text).to(device)
 
-        print(text.shape, type(text))
         image_embed = self.prior.sample(text, num_samples_per_batch = self.prior_num_samples)
         images = self.decoder.sample(image_embed)
         return images

setup.py

@@ -10,7 +10,7 @@ setup(
       'dream = dalle2_pytorch.cli:dream'
     ],
   },
-  version = '0.0.5',
+  version = '0.0.6',
   license='MIT',
   description = 'DALL-E 2',
   author = 'Phil Wang',