Update app.py

app.py

@@ -236,8 +236,8 @@ def generate_video(gallery_images, mode, prompt, height, width,
     return video_path, current_seed
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Wan 2.1 VACE (14B) with Phantom & Detail Enhancer LoRAs - Multi-Image Gallery")
-    gr.Markdown("Using [Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers) with Phantom FusionX and Detail Enhancer LoRAs for advanced video generation with multiple conditioning modes.")
+    gr.Markdown("# Fast Wan 2.1 VACE (14B)")
+    gr.Markdown("Using [Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers) with [Phantom FusionX LoRA](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) for fast video generation with multiple conditions")
     
     with gr.Row():
         with gr.Column():
@@ -286,15 +286,6 @@ with gr.Blocks() as demo:
             
         with gr.Column():
             video_output = gr.Video(label="Generated Video", autoplay=True, interactive=False)
-            with gr.Accordion("Mode Information", open=False):
-                gr.Markdown("""
-                **Processing Modes:**
-                - **Ref2V**: Uses uploaded images as style references for video generation. All frames are generated based on the reference images.
-                - **FLF2V**: First-Last Frame mode - uses first and last images as keyframes and generates the frames in between (requires exactly 2 images)
-                - **Random2V**: Places uploaded images at specific frames in the video and generates the rest. Images are distributed evenly across the video duration.
-                
-                **Note**: VACE pipeline supports advanced conditioning with masks and reference images for more control over generation.
-                """)
 
     # Update prompt when mode changes
     mode_radio.change(