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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/2xHFA2kShallowESRGAN) |
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# 2xHFA2kShallowESRGAN |
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Name: 2xHFA2kShallowESRGAN |
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Author: Philip Hofmann |
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Release Date: 04.01.2024 |
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License: CC BY 4.0 |
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Network: Shallow ESRGAN (6 Blocks) |
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Scale: 2 |
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Purpose: 2x anime upscaler |
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Iterations: 180'000 |
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epoch: 167 |
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batch_size: 12 |
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HR_size: 128 |
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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: None |
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Description: |
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2x shallow esrgan version of the HFA2kCompact model. |
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This model should be usable with [FAST_Anime_VSR ](https://github.com/Kiteretsu77/FAST_Anime_VSR) using TensorRT for fast inference, as should my [2xHFA2kReal-CUGAN](https://drive.google.com/file/d/1wqlK-rQjPGKJ5pNoVgnK9gcNF1tA8EjV/view?usp=drive_link) model. |
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Slow Pics examples: |
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[Example 1](https://slow.pics/c/RZj6GMwS) |
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[Example 2](https://slow.pics/c/Q3DHaU45) |
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[Ludvae1](https://slow.pics/c/fJi4IphY) |
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[Ludvae2](https://slow.pics/c/iIhgHokD) |
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