chore: markup

app.py

@@ -95,7 +95,6 @@ def generate_video(
 
 # Create the Gradio interface
 with gr.Blocks() as demo:
-    gr.Markdown("# Wan 2.1 T2V 1.3B with LoRA")
     gr.HTML("""
     <p align="center">
     <svg version="1.1" viewBox="0 0 1200 295" xmlns="http://www.w3.org/2000/svg" xmlns:v="https://vecta.io/nano" width="400">
@@ -105,6 +104,7 @@ with gr.Blocks() as demo:
     💻 <a href="https://www.markury.dev/"><b>Website</b></a> &nbsp&nbsp | &nbsp&nbsp 🤗 <a href="https://huggingface.co/markury"><b>Hugging Face</b></a> &nbsp&nbsp | &nbsp&nbsp 💿 <a href="https://thebulge.xyz"><b>Discord</b></a>
     </p>
     """)
+    gr.Markdown("# Wan 2.1 T2V 1.3B with LoRA")
     
     with gr.Row():
         with gr.Column(scale=1):
@@ -122,7 +122,7 @@ with gr.Blocks() as demo:
             
             negative_prompt = gr.Textbox(
                 label="Negative Prompt",
-                value="色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
+                value="色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿",
                 lines=3
             )
             
@@ -141,7 +141,7 @@ with gr.Blocks() as demo:
                 lora_scale = gr.Slider(
                     label="LoRA Scale",
                     minimum=0.0,
-                    maximum=1.0,
+                    maximum=2.0,
                     value=1.00,
                     step=0.05
                 )
@@ -179,7 +179,7 @@ with gr.Blocks() as demo:
             
             with gr.Row():
                 num_frames = gr.Slider(
-                    label="Number of Frames (4k+1 is recommended, e.g. 81)",
+                    label="Number of Frames (4k+1 is recommended, e.g. 33)",
                     minimum=17,
                     maximum=129,
                     value=33,
@@ -198,14 +198,14 @@ with gr.Blocks() as demo:
                     label="Guidance Scale (CFG)",
                     minimum=1.0,
                     maximum=15.0,
-                    value=5.0,
+                    value=4.0,
                     step=0.5
                 )
                 num_inference_steps = gr.Slider(
                     label="Inference Steps",
                     minimum=10,
                     maximum=100,
-                    value=32,
+                    value=20,
                     step=1
                 )
             
@@ -239,8 +239,8 @@ with gr.Blocks() as demo:
     ## Tips for best results:
     - For smaller resolution videos, try lower values of flow shift (2.0-5.0)
     - For larger resolution videos, try higher values of flow shift (7.0-12.0)
-    - Number of frames should be of the form 4k+1 (e.g., 49, 81, 65)
-    - The model is memory intensive, so adjust resolution according to available VRAM
+    - Number of frames should be of the form 4k+1 (e.g., 33, 81)
+    - Stick to lower frame counts. Even at 480p, an 81 frame sequence at 30 steps will nearly time out the request in this space.
     
     ## Using LoRAs with multiple safetensors files:
     If you encounter an error stating "more than one weights file", you need to specify the exact weight file name in the "LoRA Weight Name" field.