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app.py

@@ -32,7 +32,10 @@ generator = torch.manual_seed(0)
 def infer(prompt, negative_prompt, image):
     # implement your inference function here
     
-    cond_input = conditioning_image_transforms(T.PILToTensor(image))
+    inp = np.copy(image)
+    inp.setflags(writable=False)
+
+    cond_input = conditioning_image_transforms(image)
     
     output = pipe(
         prompt,