xinntao / gfpgan

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

  • Public
  • 22.8M runs
  • T4
  • GitHub
  • Paper
  • License

Input

img
*file

Input

string

GFPGAN version. v1.3: better quality. v1.4: more details and better identity.

Default: "v1.4"

number

Rescaling factor

Default: 2

Output

output
Generated in

This example was created by a different version, xinntao/gfpgan:8aa841ec.

Run time and cost

This model costs approximately $0.00039 to run on Replicate, or 2564 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 2 seconds.

Readme

GFPGAN (CVPR 2021)

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.