Update README.md

README.md

@@ -137,7 +137,8 @@ if random.random() > 0.5:
   # The detail about hed detect you can refer to https://github.com/lllyasviel/ControlNet/blob/main/gradio_fake_scribble2image.py
   # Below is a example using diffusers HED detector
 
-  image_path = Image.open("your image path, the image can be real or anime, HED detector will extract its edge boundery")
+  # image_path = Image.open("your image path, the image can be real or anime, HED detector will extract its edge boundery")
+  image_path = cv2.imread("your image path, the image can be real or anime, HED detector will extract its edge boundery")
   processor = HEDdetector.from_pretrained('lllyasviel/Annotators')
   controlnet_img = processor(image_path, scribble=False)
   controlnet_img.save("a hed detect path for an image")