412392713 / vtoonify

Portrait Style Transfer with VToonify

  • Public
  • 99.3K runs
  • GitHub
  • License
Run with an API
Playground API Examples README Versions

Input

Output

Examples

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Run time and cost

This model costs approximately $0.0074 to run on Replicate, or 135 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 33 seconds. The predict time for this model varies significantly based on the inputs.

Readme

If VToonify is helpful, please help to ⭐ the Github Repo. Thanks! GitHub Stars

📝 Citation If our work is useful for your research, please consider citing:

@article{yang2022Vtoonify,
  title={VToonify: Controllable High-Resolution Portrait Video Style Transfer},
  author={Yang, Shuai and Jiang, Liming and Liu, Ziwei and Loy, Chen Change},
  journal={ACM Transactions on Graphics (TOG)},
  volume={41},
  number={6},
  articleno={203},
  pages={1--15},
  year={2022},
  publisher={ACM New York, NY, USA},
  doi={10.1145/3550454.3555437},
}

📋 License This project is licensed under S-Lab License 1.0. Redistribution and use for non-commercial purposes should follow this license. 📧 Contact If you have any questions, please feel free to reach me out at williamyang@pku.edu.cn.