Update app.py

app.py

@@ -24,17 +24,16 @@ def predict(prompt, ip_adapter_image, ip_adapter_scale=0.5, negative_prompt="",
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
 
+    # Optionally resize images if center crop is not selected
     if not center_crop:
-        ip_adapter_image = [x.resize((224,224)) for x in ip_adapter_image[0]]
-    else:
-        ip_adapter_image = ip_adapter_image[0]
+        ip_adapter_image = [image.resize((224, 224)) for image in ip_adapter_image]
 
     generator = torch.Generator(device="cuda").manual_seed(seed)
     pipe.set_ip_adapter_scale([ip_adapter_scale])
     
     image = pipe(
         prompt=prompt,
-        ip_adapter_image=input_id_images,
+        ip_adapter_image=ip_adapter_image,
         negative_prompt=negative_prompt,
         height=height,
         width=width,