alexgenovese / upscaler

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration

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Examples

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Run time and cost

This model costs approximately $0.0027 to run on Replicate, or 370 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 3 seconds.

Readme

About

This endpoint is a cog implementation of GFPGan to upscale images.

With this endpoint, you can increase the details and size of any photo with the face.

  1. Upload the photo with face(s)
  2. Select the new size and flag
  3. Generate

Contact me if you need customizations.

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License

The code in this repository is licensed under the Apache-2.0 License.

Acknowledgements This project is based on GFPGAN you can generate images based on respective licenses and use terms (https://github.com/TencentARC/GFPGAN?tab=License-1-ov-file)

This is a simple implementation of Upscale to generate high-quality and realistic photo shooting in Reica