Update app.py

app.py

@@ -405,9 +405,9 @@ def demo_lam(flametracking, lam, cfg):
 
         
         gr.HTML("""<div style="margin-top: -10px">
-            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: red; margin: 2px 0">Notes1: Inputing front-face images or face orientation close to the driven signal gets better results.</h4></p>
-            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: red; margin: 2px 0">Notes2: Due to computational constraints with Hugging Face's ZeroGPU infrastructure, video generation requires ~1 minute per instance.</h4></p>
-            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: red; margin: 2px 0">Notes3: Using LAM-20K model (lower quality than premium LAM-80K) to mitigate processing latency.</h4></p>
+            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: black; margin: 2px 0">Notes1: Inputing front-face images or face orientation close to the driven signal gets better results.</h4></p>
+            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: black; margin: 2px 0">Notes2: Due to computational constraints with Hugging Face's ZeroGPU infrastructure, 3D avatar generation requires ~1 minute per instance.</h4></p>
+            <p style="margin: 4px 0; line-height: 1.2"><h4 style="color: black; margin: 2px 0">Notes3: Using LAM-20K model (lower quality than premium LAM-80K) to mitigate processing latency.</h4></p>
         </div>""")