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README.md
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Training iterations: 240000
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Description: 4x dat2 upscaling model for web and realistic images. It handles realistic noise, some realistic blur, and webp and jpg (re)compression. Trained on my BHI dataset (390'035 training tiles) with degraded LR subset.
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Visual Examples:
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[slow.pics](https://slow.pics/c/WekJvaLo?image-fit=cover)
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[imgsli](https://imgsli.com/MzI3MzI2)
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Training iterations: 240000
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Description: 4x dat2 upscaling model for web and realistic images. It handles realistic noise, some realistic blur, and webp and jpg (re)compression. Trained on my BHI dataset (390'035 training tiles) with degraded LR subset.
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Visual Examples:
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[slow.pics](https://slow.pics/c/WekJvaLo?image-fit=cover)
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[imgsli](https://imgsli.com/MzI3MzI2)
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