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Name: 2xHFA2kSwinIR-S Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SwinIR Small Scale: 2 Purpose: 2x anime upscaler Iterations: 22'000 epoch: 10 batchsize: 6 - 12 HRsize: 128 - 256...
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Source description
Name: 2xHFA2kSwinIR-S Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SwinIR Small Scale: 2 Purpose: 2x anime upscaler Iterations: 22'000 epoch: 10 batch_size: 6 - 12 HR_size: 128 - 256 Dataset: hfa2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2
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1 sourceVerified Aug 8
Model artifacts
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2 excerpts--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2kSwinIR-S) Name: 2xHFA2kSwinIR-S Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SwinIR Small Scale: 2 Purpose: 2x anime upscaler Iterations: 22'000 epoch: 10 batch_size: 6 - 12 HR_size: 128 - 256 Dataset: hfa2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2 Description: 2x SwinIR-Small version of the 2xHFA2kCompact model.  
Description:
2x SwinIR-Small version of the 2xHFA2kCompact model.
2xHFA2kSwinIR-S
2xHFA2kSwinIR-S
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/2xHFA2kSwinIR-S
