Update main.py

main.py

@@ -162,18 +162,18 @@ class Model:
     if instyle is None or aligned_face is None:
         return np.zeros((256, 256, 3), np.uint8), 'Opps, something wrong with the input. Please go to Step 2 and Rescale Image/First Frame again.'
     if self.style_name != style_type:
-        exstyle, _  = self.load_model(style_type)
+        exstyle, _ = self.load_model(style_type)
     if exstyle is None:
         return np.zeros((256, 256, 3), np.uint8), 'Opps, something wrong with the style type. Please go to Step 1 and load model again.'
     with torch.no_grad():
         s_w = instyle.clone()
-        s_w[:,:7] = exstyle[:,:7]
+        s_w[:, :7] = exstyle[:, :7]
 
         x = self.transform(aligned_face).unsqueeze(dim=0).to(self.device)
-        x_p = F.interpolate(self.parsingpredictor(2*(F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=False)))[0], 
+        x_p = F.interpolate(self.parsingpredictor(2 * (F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=False)))[0],
                             scale_factor=0.5, recompute_scale_factor=False).detach()
-        inputs = torch.cat((x, x_p/16.), dim=1)
-        y_tilde = self.vtoonify(inputs, s_w.repeat(inputs.size(0), 1, 1), d_s=style_degree)        
+        inputs = torch.cat((x, x_p / 16.), dim=1)
+        y_tilde = self.vtoonify(inputs, s_w.repeat(inputs.size(0), 1, 1), d_s=style_degree)
         y_tilde = torch.clamp(y_tilde, -1, 1)
     print('*** Toonify %dx%d image with style of %s' % (y_tilde.shape[2], y_tilde.shape[3], style_type))
     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)