fix example error by cache

app.py

@@ -20,6 +20,8 @@ else:
 
 MAX_SEED = np.iinfo(np.int32).max
 
+CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0") == "1"
+
 
 # Initialize the pipeline and download the sd3 medium model
 pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
@@ -126,9 +128,10 @@ with gr.Blocks(css=css) as demo:
 
     gr.Examples(
         examples=examples,
-        inputs=[prompt, enhance_prompt],
-        outputs=[result, better_prompt],
         fn=generate_image,
+        inputs=[prompt, enhance_prompt, negative_prompt, num_inference_steps, guidance_scale, height, width, seed, num_images_per_prompt],
+        outputs=[result, better_prompt],
+        cache_examples=CACHE_EXAMPLES
     )
 
     gr.on(