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--- |
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license: cc-by-4.0 |
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pipeline_tag: image-to-image |
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tags: |
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- pytorch |
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- super-resolution |
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--- |
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xNomosUni_esrgan_multijpg) |
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# 2xNomosUni_esrgan_multijpg |
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Name: 2xNomosUni_esrgan_multijpg |
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Author: Philip Hofmann |
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Release Date: 20.12.2023 |
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License: CC BY 4.0 |
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Network: ESRGAN (RRDBNet) |
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Scale: 2 |
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Purpose: 2x universal upscaler |
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Iterations: 110'000 |
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epoch: 64 |
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batch_size: 4 |
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HR_size: 512 |
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Dataset: nomosuni |
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Number of train images: 2989 |
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OTF Training: No |
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Pretrained_Model_G: RealESRGAN_x2plus |
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Description: |
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2x esrgan universal upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos). |
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Try it out in [this huggingface space](https://huggingface.co/spaces/Phips/upscale) I made (since the spaces uses cpu, testing locally on your gpu would be faster) |
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Slow Pics crops examples: |
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[ani](https://slow.pics/c/LLP9p89w) |
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[face](https://slow.pics/c/4IsxVMAB) |
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[dof_wheat](https://slow.pics/c/zj4q6Mvi) |
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