increased input features

app.py

@@ -38,7 +38,7 @@ class Generator(nn.Module):
 
         # Downsampling
         model1 = []
-        in_features = 64
+        in_features = 256
         out_features = in_features*2
         for _ in range(2):
             model1 += [  nn.Conv2d(in_features, out_features, 3, stride=2, padding=1),
@@ -108,7 +108,7 @@ def predict(input_img, ver):
 
 title="Image to Line Drawings - Complex and Simple Portraits and Landscapes"
 examples=[
-['01.jpg', 'Simple Lines'], ['02.jpg', 'Simple Lines'], ['03.jpg', 'Simple Lines'],
+['01.jpg', 'Complex Lines'], ['02.jpg', 'Complex Lines'], ['03.jpg', 'Simple Lines'],
 ['04.jpg', 'Simple Lines'], ['05.jpg', 'Simple Lines'],
 ]