added denoise strength option

app.py

@@ -52,11 +52,11 @@ def convert_mp4_to_frames(video_path, duration=3):
 
     return frames
 
-def infer(prompt, video_in):
+def infer(prompt, video_in, denoise_strength):
 
     video = convert_mp4_to_frames(video_in, duration=3)
     video_resized = [Image.fromarray(frame).resize((1024, 576)) for frame in video]
-    video_frames = pipe_xl(prompt, video=video_resized, strength=0.6).frames
+    video_frames = pipe_xl(prompt, video=video_resized, strength=denoise_strength).frames
     video_path = export_to_video(video_frames, output_video_path="xl_result.mp4")
     
     return "xl_result.mp4", gr.Group.update(visible=True)
@@ -145,6 +145,7 @@ with gr.Blocks(css=css) as demo:
 
         video_in = gr.Video(type="numpy", source="upload")
         prompt_in = gr.Textbox(label="Prompt", placeholder="This must be the same prompt you used for the original clip :)", elem_id="prompt-in")
+        denoise_strength = gr.Slider(label="Denoise strength", minimum=0.6, maximum=0.9, step=0.1, value=0.66)
         #inference_steps = gr.Slider(label="Inference Steps", minimum=10, maximum=100, step=1, value=40, interactive=False)
         submit_btn = gr.Button("Submit")
         video_result = gr.Video(label="Video Output", elem_id="video-output")
@@ -155,7 +156,7 @@ with gr.Blocks(css=css) as demo:
             share_button = gr.Button("Share to community", elem_id="share-btn")
 
     submit_btn.click(fn=infer,
-                    inputs=[prompt_in, video_in],
+                    inputs=[prompt_in, video_in, denoise_strength],
                     outputs=[video_result, share_group])
     
     share_button.click(None, [], [], _js=share_js)