Fix example code

README.md

@@ -60,6 +60,10 @@ pip install diffusers
 ```py
 from diffusers import ControlNetModel, StableDiffusionXLControlNetPipeline
 import torch
+import cv2
+import numpy as np
+from PIL import Image
+from diffusers.utils import load_image
 
 controlnet = ControlNetModel.from_pretrained(
     "briaai/BRIA-2.3-ControlNet-Canny",
@@ -77,7 +81,10 @@ prompt = "A portrait of a Beautiful and playful ethereal singer, golden designs,
 negative_prompt = "Logo,Watermark,Text,Ugly,Morbid,Extra fingers,Poorly drawn hands,Mutation,Blurry,Extra limbs,Gross proportions,Missing arms,Mutated hands,Long neck,Duplicate,Mutilated,Mutilated hands,Poorly drawn face,Deformed,Bad anatomy,Cloned face,Malformed limbs,Missing legs,Too many fingers"
 
 # Calculate Canny image
-input_image = cv2.imread('pics/singer.png')
+input_image = load_image(
+    "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png"
+)
+input_image = np.array(input_image)
 low_threshold, high_threshold = 100, 200
 input_image = cv2.Canny(input_image, low_threshold, high_threshold)
 input_image = input_image[:, :, None]