Update, fix for canny.

app.py

@@ -13,12 +13,15 @@ def launch(image_input, prompt, negative_prompt, sd_models_dropdown):
 
 def predict(image_input, prompt, negative_prompt, sd_models_dropdown):
     
-    # image = np.array(image_input)
+    print(type(image_input))
+    image = np.array(image_input)
 
     # Get canny image
-    image = cv2.Canny(image_input, 100, 200)
-    image = image[:, :, None]
-    image = np.concatenate([image, image, image], axis=2)
+    t_lower = 100
+    t_upper = 200
+    image = cv2.Canny(image, t_lower, t_upper)
+    # image = image[:, :, None]
+    # image = np.concatenate([image, image, image], axis=2)
     canny_image = Image.fromarray(image)
     
     selected_model = f"""{sd_models_dropdown}"""