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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/4xHFA2kLUDVAEGRL_small) |
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# 4xHFA2kLUDVAEGRL_small |
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Name: 4xHFA2kLUDVAEGRL_small |
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Author: Philip Hofmann |
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Release Date: 14.06.2023 |
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License: CC BY 4.0 |
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Network: GRL |
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Scale: 4 |
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Purpose: 4x anime super-resolution with real degradation, based on musl's HFA2k_LUDVAE dataset |
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Iterations: 200,000 |
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batch_size: 3 |
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HR_size: 256 |
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img_size: 64 |
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Dataset: HFA2kLUDVAE |
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Number of train images: 10270 |
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OTF Training: No |
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Pretrained_Model_G: None |
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Description: 4x anime super-resolution with real degradation. |
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Imgsli (slider comparison, same examples) |
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0550 : https://imgsli.com/MTg1ODky/0/3 |
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0045 : https://imgsli.com/MTg1ODkz/0/3 |
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