Update app.py

app.py

@@ -322,6 +322,8 @@ if __name__ == "__main__":
 - **GitHub**: [ByteDance/XVerse](https://github.com/bytedance/XVerse)
 - **Project Page**: [ByteDance/XVerse](https://bytedance.github.io/XVerse/)
 
+---
+
 #### Input Images and Prompts
 
 * **Prompt**: The textual description guiding the image generation.
@@ -333,9 +335,9 @@ if __name__ == "__main__":
 
 > **⚠️ Important Usage Notes:**
 >
-> * **Prompt Construction**: The main text prompt **MUST** include the exact text you entered in the `Image Description` field for each active image. **Generation will fail if this description is missing from the prompt.**
->     * *Example*: If you upload two images and set their descriptions as "a man with red hair" (for Image 1) and "a woman with blue eyes" (for Image 2), your main prompt might be: "A `a man with red hair` walking beside `a woman with blue eyes` in a park."
->     * You can then write your main prompt simply as: "`ENT1` walking beside `ENT2` in a park." The code will **automatically replace** these placeholders with the full description text before generation.
+> The main text prompt **MUST** include the exact text you entered in the `Image Description` field for each active image. **Generation will fail if this description is missing from the prompt.**
+> * *Example*: If you upload two images and set their descriptions as "a man with red hair" (for Image 1) and "a woman with blue eyes" (for Image 2), your main prompt might be: "A `a man with red hair` walking beside `a woman with blue eyes` in a park."
+> * You can then write your main prompt simply as: "`ENT1` walking beside `ENT2` in a park." The code will **automatically replace** these placeholders with the full description text before generation.
 """)
         with gr.Row():
             with gr.Column():
@@ -360,7 +362,7 @@ if __name__ == "__main__":
         with gr.Row():
                 
             # 将其他设置参数压缩到 Advanced Accordion 内
-            with gr.Accordion("Advanced Settings Explained", open=False):
+            with gr.Accordion("Advanced Settings", open=False):
                 gr.Markdown("""The Gradio demo provides several parameters to control your image generation process:
 * **Generated Height/Width**: Use the sliders to set the shape of the output image.
 * **Weight_id/ip**: Adjust these weight parameters. Higher values generally lead to better subject consistency but might slightly impact the naturalness of the generated image.