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| import argparse | |
| import imageio | |
| import numpy as np | |
| import gradio as gr | |
| from PIL import Image | |
| from demo.motiondirector import MotionDirector | |
| runner = MotionDirector() | |
| def motiondirector(model_select, text_pormpt, neg_text_pormpt, random_seed=1, steps=25, guidance_scale=7.5, baseline_select=False): | |
| return runner(model_select, text_pormpt, neg_text_pormpt, int(random_seed) if random_seed != "" else 1, int(steps), float(guidance_scale), baseline_select) | |
| with gr.Blocks() as demo: | |
| gr.HTML( | |
| """ | |
| <div style="display: flex; justify-content: center; align-items: center; text-align: center;"> | |
| <a href="https://github.com/showlab/MotionDirector" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;"> | |
| </a> | |
| <div> | |
| <h1 >MotionDirector: Motion Customization of Text-to-Video Diffusion Models</h1> | |
| <h5 style="margin: 0;">More MotionDirectors are on the way. Stay tuned 🔥! Give us a star ✨ on Github for the latest update.</h5> | |
| </br> | |
| <div style="display: flex; justify-content: center; align-items: center; text-align: center;> | |
| <a href="https://arxiv.org/abs/2310.08465"><img src="https://img.shields.io/badge/arXiv-MotionDirector-b31b1b.svg"></a> | |
| <a href='https://showlab.github.io/MotionDirector'><img src='https://img.shields.io/badge/Project_Page-MotionDirector-green'></a> | |
| <a href='https://github.com/showlab/MotionDirector'><img src='https://img.shields.io/badge/Github-MotionDirector-blue'></a> | |
| </div> | |
| </div> | |
| </div> | |
| """) | |
| with gr.Row(): | |
| generated_video_baseline = gr.Video(format="mp4", label="Video Generated by base model (ZeroScope with same seed)") | |
| generated_video = gr.Video(format="mp4", label="Video Generated by MotionDirector") | |
| with gr.Column(): | |
| baseline_select = gr.Checkbox(label="Compare with baseline (ZeroScope with same seed)", info="Run baseline? Note: Inference time will be doubled.") | |
| random_seed = gr.Textbox(label="Random seed", value=1, info="default: 1") | |
| sampling_steps = gr.Textbox(label="Sampling steps", value=30, info="default: 30") | |
| guidance_scale = gr.Textbox(label="Guidance scale", value=12, info="default: 12") | |
| with gr.Row(): | |
| model_select = gr.Dropdown( | |
| ["1-1: [Cinematic Shots] -- Dolly Zoom (Hitchcockian Zoom)", | |
| "1-2: [Cinematic Shots] -- Zoom In", | |
| "1-3: [Cinematic Shots] -- Zoom Out", | |
| "2-1: [Object Trajectory] -- Right to Left", | |
| "2-2: [Object Trajectory] -- Left to Right", | |
| "3-1: [Sports Concepts] -- Riding Bicycle", | |
| "3-2: [Sports Concepts] -- Riding Horse", | |
| "3-3: [Sports Concepts] -- Lifting Weights", | |
| "3-4: [Sports Concepts] -- Playing Golf" | |
| ], | |
| label="MotionDirector", | |
| info="Which MotionDirector would you like to use!" | |
| ) | |
| text_pormpt = gr.Textbox(label="Text Prompt", value='', placeholder="Input your text prompt here!") | |
| neg_text_pormpt = gr.Textbox(label="Negative Text Prompt", value='', placeholder="default: None") | |
| submit = gr.Button("Generate") | |
| # when the `submit` button is clicked | |
| submit.click( | |
| motiondirector, | |
| [model_select, text_pormpt, neg_text_pormpt, random_seed, sampling_steps, guidance_scale, baseline_select], | |
| [generated_video, generated_video_baseline] | |
| ) | |
| # Examples | |
| gr.Markdown("## Examples") | |
| gr.Examples( | |
| fn=motiondirector, | |
| examples=[ | |
| ["1-1: [Cinematic Shots] -- Dolly Zoom (Hitchcockian Zoom)", "A lion sitting on top of a cliff captured with a dolly zoom.", 1675932], | |
| ["1-2: [Cinematic Shots] -- Zoom In", "A firefighter standing in front of a burning forest captured with a zoom in.", 1429227], | |
| ["1-3: [Cinematic Shots] -- Zoom Out", "A lion sitting on top of a cliff captured with a zoom out.", 1767994], | |
| ["2-1: [Object Trajectory] -- Right to Left", "A tank is running on the moon.", 8551187], | |
| ["2-2: [Object Trajectory] -- Left to Right", "A tiger is running in the forest.", 3463673], | |
| ["3-1: [Sports Concepts] -- Riding Bicycle", "An astronaut is riding a bicycle past the pyramids Mars 4K high quailty highly detailed.", 4422954], | |
| ["3-2: [Sports Concepts] -- Riding Horse", "A man riding an elephant through the jungle.", 6230765], | |
| ["3-3: [Sports Concepts] -- Lifting Weights", "A panda is lifting weights in a garden.", 1699276], | |
| ["3-4: [Sports Concepts] -- Playing Golf", "A man is playing golf in front of the White House.", 8870450], | |
| ], | |
| inputs=[model_select, text_pormpt, random_seed], | |
| outputs=generated_video, | |
| ) | |
| demo.queue(max_size=15) | |
| demo.launch(share=True) | |