cjwbw / real-esrgan

Real-ESRGAN: Real-World Blind Super-Resolution

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  • 1.9M runs
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  • Paper
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Run time and cost

This model costs approximately $0.0013 to run on Replicate, or 769 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 6 seconds.

Readme

Original implementation: https://github.com/ai-forever/Real-ESRGAN

Real-ESRGAN

PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.

This is not an official implementation. We partially use code from the original repository

Real-ESRGAN is an upgraded ESRGAN trained with pure synthetic data is capable of enhancing details while removing annoying artifacts for common real-world images.