Fix #8 app.py

app.py

@@ -167,8 +167,9 @@ class Generator(nn.Module):
 
 # FUNCIÓN PARA CARGAR EL MODELO
 def load_pretrained_model(ckpt_path, img_size=256, style_dim=64, num_domains=3, device='cpu'):
+    latent_dim_for_mapping = 13
     G = Generator(img_size, style_dim).to(device)
-    M = MappingNetwork(13, style_dim, num_domains).to(device) # Suponiendo latent_dim=16
+    M = MappingNetwork(latent_dim_for_mapping, style_dim, num_domains).to(device)
     S = StyleEncoder(img_size, style_dim, num_domains).to(device)
     checkpoint = torch.load(ckpt_path, map_location=device)
     G.load_state_dict(checkpoint['generator'])