tencentarc / gfpgan

Practical face restoration algorithm for *old photos* or *AI-generated faces*

  • Public
  • 82.2M runs
  • GitHub
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.0017 to run on Replicate, or 588 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 A40 GPU hardware. Predictions typically complete within 3 seconds.

Readme

Replicate demo for GFPGAN

（You may need to login in to upload images~）

GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration.

If GFPGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊

download GitHub Stars arXiv

📧Contact

If you have any question, please email xintao.wang@outlook.com or xintaowang@tencent.com.