wrong example order

app.py

@@ -32,7 +32,7 @@ generator = torch.manual_seed(0)
 def infer(prompt, negative_prompt, image):
     # implement your inference function here
 
-    cond_input = conditioning_image_transforms(image)
+    cond_input = T.ToPILImage(conditioning_image_transforms(image))
     
     output = pipe(
         prompt,
@@ -62,7 +62,7 @@ gr.Interface(
     outputs=gr.Gallery().style(grid=[2], height="auto"),
     title="Generate controlled outputs with Categorical Conditioning on Waifu Diffusion 1.5 beta 2.",
     description="This Space uses image examples as style conditioning.",
-    examples=[["wikipe_cond_1.png", "1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, watercolor, night, turtleneck"]],
+    examples=[["1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, watercolor, night, turtleneck", "low quality", "wikipe_cond_1.png"]],
     allow_flagging=False,
 ).launch(enable_queue=True)