update

model.py

@@ -631,7 +631,8 @@ class Model:
             127.5).cpu().numpy().clip(0, 255).astype(np.uint8)
 
         results = [x_samples[i] for i in range(num_samples)]
-        return [detected_map] + results, [detected_map] + results 
+                       
+        return [detected_map] + results
 
     @torch.inference_mode()
     def process_depth(self, input_image, prompt, a_prompt, n_prompt,