| import gradio as gr | |
| from model import Model | |
| def create_demo(model: Model): | |
| examples = [ | |
| ["__assets__/canny_videos_edge/butterfly.mp4", "white butterfly, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/deer.mp4", "oil painting of a deer, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/fox.mp4", "wild red fox is walking on the grass, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/girl_dancing.mp4", "oil painting of a girl dancing close-up, masterpiece, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/girl_turning.mp4", "oil painting of a beautiful girl, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/halloween.mp4", "beautiful girl halloween style, a high-quality, detailed, and professional photo"], | |
| ["__assets__/canny_videos_edge/santa.mp4", "a santa claus, a high-quality, detailed, and professional photo"], | |
| ] | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| gr.Markdown('## Text and Canny-Edge Conditional Video Generation') | |
| with gr.Row(): | |
| gr.HTML( | |
| """ | |
| <div style="text-align: left; auto;"> | |
| <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem"> | |
| Description: For performance purposes, our current preview release supports any input videos but caps output videos to no longer than 15 seconds and the input videos are scaled down before processing. | |
| </h3> | |
| </div> | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_video = gr.Video(label="Input Video",source='upload', format="mp4", visible=True).style(height="auto") | |
| with gr.Column(): | |
| prompt = gr.Textbox(label='Prompt') | |
| run_button = gr.Button(label='Run') | |
| with gr.Column(): | |
| result = gr.Video(label="Generated Video").style(height="auto") | |
| inputs = [ | |
| input_video, | |
| prompt, | |
| ] | |
| gr.Examples(examples=examples, | |
| inputs=inputs, | |
| outputs=result, | |
| fn=model.process_controlnet_canny, | |
| cache_examples = True, | |
| run_on_click=False, | |
| ) | |
| run_button.click(fn=model.process_controlnet_canny, | |
| inputs=inputs, | |
| outputs=result,) | |
| return demo | |