Update implementation note

app.py

@@ -113,7 +113,7 @@ html = f"""<h1>LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to
             <p>4. The diffusion model only runs 20 steps by default in this demo. You can make it run more steps to get higher quality images (or tweak frozen steps/guidance steps for better guidance and coherence).</p>
             <p>5. Duplicate this space and add GPU or clone the space and run locally to skip the queue and run our model faster. (<b>Currently we are using a T4 GPU on this space, which is quite slow, and you can add a A10G to make it 5x faster</b>) {duplicate_html}</p>
             <br/>
-            <p>Implementation note (updated): In this demo, we provide a few modes: faster generation by disabling attention/per-box guidance. The standard version describes what is implemented for the paper. You can set GLIGEN guidance steps ratio to 0 to disable GLIGEN and use only the original SD weights.</p>
+            <p>An implementation note (updated): In this demo, we provide a few modes: faster generation by disabling attention/per-box guidance. The standard version describes what is implemented for the paper. You can also set GLIGEN guidance steps ratio to 0 to disable GLIGEN and to see what you get with only the original SD weights.</p>
             <style>.btn {{flex-grow: unset !important;}} </p>
             """