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| #!/usr/bin/env python | |
| from __future__ import annotations | |
| import os | |
| import gradio as gr | |
| from gradio_demo.runner import Runner | |
| def create_demo(runner: Runner, | |
| pipe: InferencePipeline | None = None) -> gr.Blocks: | |
| hf_token = os.getenv('HF_TOKEN') | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Box(): | |
| gr.Markdown('Input Data') | |
| input_video = gr.File(label='Input video') | |
| input_prompt = gr.Textbox( | |
| label='Input prompt', | |
| max_lines=1, | |
| placeholder='A car is moving on the road.') | |
| gr.Markdown(''' | |
| - Upload a video and write a `Input Prompt` that describes the video. | |
| ''') | |
| with gr.Column(): | |
| with gr.Box(): | |
| gr.Markdown('Input Parameters') | |
| with gr.Row(): | |
| model_path = gr.Text( | |
| label='Path to off-the-shelf model', | |
| value='CompVis/stable-diffusion-v1-4', | |
| max_lines=1) | |
| resolution = gr.Dropdown(choices=['512', '768'], | |
| value='512', | |
| label='Resolution', | |
| visible=False) | |
| with gr.Accordion('Advanced settings', open=False): | |
| sample_start_idx = gr.Number( | |
| label='Start Frame Index',value=0) | |
| sample_frame_rate = gr.Number( | |
| label='Frame Rate',value=1) | |
| n_sample_frames = gr.Number( | |
| label='Number of Frames',value=8) | |
| guidance_scale = gr.Number( | |
| label='Guidance Scale', value=7.5) | |
| seed = gr.Slider(label='Seed', | |
| minimum=0, | |
| maximum=100000, | |
| step=1, | |
| randomize=True, | |
| value=33) | |
| input_token = gr.Text(label='Hugging Face Write Token', | |
| placeholder='', | |
| visible=False if hf_token else True) | |
| gr.Markdown(''' | |
| - Upload input video or choose an exmple blow | |
| - Set hyperparameters & click start | |
| - It takes a few minutes to download model first | |
| ''') | |
| with gr.Row(): | |
| with gr.Column(): | |
| validation_prompt = gr.Text( | |
| label='Validation Prompt', | |
| placeholder= | |
| 'prompt to test the model, e.g: a Lego man is surfing') | |
| remove_gpu_after_running = gr.Checkbox( | |
| label='Remove GPU after running', | |
| value=False, | |
| interactive=bool(os.getenv('SPACE_ID')), | |
| visible=False) | |
| with gr.Row(): | |
| result = gr.Video(label='Result') | |
| # examples | |
| with gr.Row(): | |
| examples = [ | |
| [ | |
| 'CompVis/stable-diffusion-v1-4', | |
| "data/car-moving.mp4", | |
| 'A car is moving on the road.', | |
| 8, 0, 1, | |
| 'A jeep car is moving on the desert.', | |
| 7.5, 512, 33, | |
| False, None, | |
| ], | |
| [ | |
| 'CompVis/stable-diffusion-v1-4', | |
| "data/black-swan.mp4", | |
| 'A blackswan is swimming on the water.', | |
| 8, 0, 4, | |
| 'A white swan is swimming on the water.', | |
| 7.5, 512, 33, | |
| False, None, | |
| ], | |
| [ | |
| 'CompVis/stable-diffusion-v1-4', | |
| "data/child-riding.mp4", | |
| 'A child is riding a bike on the road.', | |
| 8, 0, 1, | |
| 'A lego child is riding a bike on the road.', | |
| 7.5, 512, 33, | |
| False, None, | |
| ], | |
| [ | |
| 'CompVis/stable-diffusion-v1-4', | |
| "data/car-turn.mp4", | |
| 'A jeep car is moving on the road.', | |
| 8, 0, 6, | |
| 'A jeep car is moving on the snow.', | |
| 7.5, 512, 33, | |
| False, None, | |
| ], | |
| [ | |
| 'CompVis/stable-diffusion-v1-4', | |
| "data/rabbit-watermelon.mp4", | |
| 'A rabbit is eating a watermelon.', | |
| 8, 0, 6, | |
| 'A puppy is eating an orange.', | |
| 7.5, 512, 33, | |
| False, None, | |
| ], | |
| ] | |
| gr.Examples(examples=examples, | |
| fn=runner.run_vid2vid_zero, | |
| inputs=[ | |
| model_path, input_video, input_prompt, | |
| n_sample_frames, sample_start_idx, sample_frame_rate, | |
| validation_prompt, guidance_scale, resolution, seed, | |
| remove_gpu_after_running, | |
| input_token, | |
| ], | |
| outputs=result, | |
| cache_examples=os.getenv('SYSTEM') == 'spaces' | |
| ) | |
| # run | |
| run_button_vid2vid_zero = gr.Button('Start vid2vid-zero') | |
| run_button_vid2vid_zero.click( | |
| fn=runner.run_vid2vid_zero, | |
| inputs=[ | |
| model_path, input_video, input_prompt, | |
| n_sample_frames, sample_start_idx, sample_frame_rate, | |
| validation_prompt, guidance_scale, resolution, seed, | |
| remove_gpu_after_running, | |
| input_token, | |
| ], | |
| outputs=result) | |
| return demo | |
| if __name__ == '__main__': | |
| hf_token = os.getenv('HF_TOKEN') | |
| runner = Runner(hf_token) | |
| demo = create_demo(runner) | |
| demo.queue(max_size=1).launch(share=False) | |