queue test

vtoonify_model.py

@@ -227,7 +227,8 @@ class Model():
         return ((y_tilde[0].cpu().numpy().transpose(1, 2, 0) + 1.0) * 127.5).astype(np.uint8), 'Successfully toonify the image with style of %s'%(self.style_name)
     
     def video_tooniy(self, aligned_video: str, instyle: torch.Tensor, exstyle: torch.Tensor, style_degree: float, style_type: str) -> tuple[str, str]:
-        #print(style_type + ' ' + self.style_name)
+        print(style_type + ' ' + self.style_name)
+        exstyle, _ = self.load_model(style_type)
         if aligned_video is None:
             return 'default.mp4', 'Opps, something wrong with the input. Please go to Step 2 and Rescale Video again. 1'
         video_cap = cv2.VideoCapture(aligned_video)
@@ -237,7 +238,7 @@ class Model():
         if self.style_name != style_type:
             exstyle, _  = self.load_model(style_type)
         if exstyle is None:
-            exstyle, _ = self.load_model(style_type)
+            return 'default.mp4', 'Opps, something wrong with the style type. Please go to Step 1 and load model again. 3'
         num = min(self.video_limit_gpu, int(video_cap.get(7)))
         if self.device == 'cpu':
             num = min(self.video_limit_cpu, num)