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