tencentarc / gfpgan

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

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  • 83.6M runs
  • GitHub
  • Paper
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Run with an API
Playground API Examples README Versions

Examples

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Run time and cost

This model costs approximately $0.0011 to run on Replicate, or 909 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 L40S GPU hardware. Predictions typically complete within 2 seconds.

Readme

Replicate demo for GFPGAN

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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 😊

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📧Contact

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