updated instructions

app.py

@@ -285,20 +285,23 @@ with gr.Blocks(css=custom_css, js=js_func, theme=gr.themes.Soft(), elem_id="main
         <div style="margin: 15px 0; padding: 10px; background-color: #f0f0f0; border-radius: 5px; font-size: 14px;">
             <strong>Tips:</strong>
             <ul style="margin: 5px 0; padding-left: 20px;">
-                <li>Higher lambda → more diverse outputs (no runtime cost)</li>
-                <li>Lower lambda → improved quality and text-adherence (no runtime cost)</li>
+                <li>Try out the (cached) examples below first! </li>
+                <li>Higher lambda → more diverse outputs (no added runtime cost)</li>
+                <li>Lower lambda → improved quality and text-adherence (no added runtime cost)</li>
                 <li>More starting candidates → better quality and diversity (slower runtime)</li>
             </ul>
         </div>
         """
     )
     
+
     with gr.Row(scale=1):
         generate_btn = gr.Button("Generate", variant="primary")
     
     with gr.Row(scale=1):
         output_gallery_group = gr.Gallery(label="Group Inference", show_label=True,elem_id="gallery", columns=4, height="auto")
     
+
     gr.Examples(
         examples=[
             ["Head of a robot tiger made from black and white with red details, intricate mechanical parts, full-body shot, black background, hyper-realistic photography.",
@@ -320,6 +323,7 @@ with gr.Blocks(css=custom_css, js=js_func, theme=gr.themes.Soft(), elem_id="main
         label="Examples"
     )
     
+    
     generate_btn.click(
         fn=generate_images,
         inputs=[prompt, starting_candidates, output_group_size, pruning_ratio, lambda_score, seed, unary_term, binary_term],