Practical face restoration algorithm for *old photos* or *AI-generated faces*
This model costs approximately $0.00044 to run on Replicate, or 2272 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.
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 😊
If you have any question, please email xintao.wang@outlook.com or xintaowang@tencent.com.
