Update app.py

app.py

@@ -5,7 +5,7 @@ import PIL
 import onnx
 import onnxruntime
 
-config_file_url = hf_hub_url("Jacopo/ToonClip", filename="modelhd.onnx")
+config_file_url = hf_hub_url("Jacopo/ToonClip", filename="model.onnx")
 model_file = cached_download(config_file_url)
 
 onnx_model = onnx.load(model_file)
@@ -48,13 +48,13 @@ def nogan(input_img):
     i = np.transpose(i, (2, 0, 1))
     i = np.expand_dims(i, 0)
     i = i / 255.0
-    #i = normalize(i, (0.485, 0.456, 0.406), (0.229, 0.224, 0.225))
+    i = normalize(i, (0.485, 0.456, 0.406), (0.229, 0.224, 0.225))
 
     ort_outs = ort_session.run([output_name], {input_name: i})
     output = ort_outs
     output = output[0][0]
 
-    #output = denormalize(output, (0.485, 0.456, 0.406), (0.229, 0.224, 0.225))
+    output = denormalize(output, (0.485, 0.456, 0.406), (0.229, 0.224, 0.225))
     output = output * 255.0
     output = output.astype('uint8')
     output = np.transpose(output, (1, 2, 0))