Retrained Real-ESRGAN version used by ruDALL-E (a text-to-image AI) may be of interest

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Python Pytorch super-resolution esrgan real-world-super-resolution

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  • Real-ESRGAN-colab

    A Real-ESRGAN model trained on a custom dataset

    • I noticed that the 256x256 -> 1024x1024 upscalings used by the ruDALL-E (text-to-image AI) demo site looked more detailed than other upscalers I've used. It apparently uses a retrained Real-ESRGAN. Here is a comparison I did of 2 synthetic images upscaled with this and 2 other upscalers. The GitHub repos are here and here. A web app version is here.

  • Real-ESRGAN

    PyTorch implementation of Real-ESRGAN model (by ai-forever)

    • I noticed that the 256x256 -> 1024x1024 upscalings used by the ruDALL-E (text-to-image AI) demo site looked more detailed than other upscalers I've used. It apparently uses a retrained Real-ESRGAN. Here is a comparison I did of 2 synthetic images upscaled with this and 2 other upscalers. The GitHub repos are here and here. A web app version is here.

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