tencentarc/gfpgan

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

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  • 68.9M runs

Run time and cost

This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 17 seconds. The predict time for this model varies significantly based on the inputs.

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.