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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/2xHFA2kSwinIR-S) |
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Name: 2xHFA2kSwinIR-S |
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Author: Philip Hofmann |
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Release Date: 26.12.2023 |
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License: CC BY 4.0 |
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Network: SwinIR Small |
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Scale: 2 |
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Purpose: 2x anime upscaler |
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Iterations: 22'000 |
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epoch: 10 |
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batch_size: 6 - 12 |
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HR_size: 128 - 256 |
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Dataset: hfa2k |
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Number of train images: 2568 |
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OTF Training: Yes |
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Pretrained_Model_G: 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2 |
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Description: |
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2x SwinIR-Small version of the 2xHFA2kCompact model. |
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