Update app.py

app.py

@@ -24,7 +24,9 @@ def predict(prompt, ip_adapter_image, ip_adapter_scale=0.5, negative_prompt="",
         seed = random.randint(0, MAX_SEED)
 
     if not center_crop:
-        ip_adapter_image = [x.resize((224,224)) for x in ip_adapter_image]
+        ip_adapter_image = [x.resize((224,224)) for x in ip_adapter_image[0]]
+    else:
+        ip_adapter_image = ip_adapter_image[0]
     
     generator = torch.Generator(device="cuda").manual_seed(seed)
     pipe.set_ip_adapter_scale([ip_adapter_scale])