| | --- |
| | 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/2xHFA2kShallowESRGAN) |
| |
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| | # 2xHFA2kShallowESRGAN |
| |
|
| | Name: 2xHFA2kShallowESRGAN |
| | Author: Philip Hofmann |
| | Release Date: 04.01.2024 |
| | License: CC BY 4.0 |
| | Network: Shallow ESRGAN (6 Blocks) |
| | Scale: 2 |
| | Purpose: 2x anime upscaler |
| | Iterations: 180'000 |
| | epoch: 167 |
| | batch_size: 12 |
| | HR_size: 128 |
| | Dataset: hfa2k |
| | Number of train images: 2568 |
| | OTF Training: Yes |
| | Pretrained_Model_G: None |
| |
|
| | Description: |
| | 2x shallow esrgan version of the HFA2kCompact model. |
| | 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: |
| | [Example 1](https://slow.pics/c/RZj6GMwS) |
| | [Example 2](https://slow.pics/c/Q3DHaU45) |
| | [Ludvae1](https://slow.pics/c/fJi4IphY) |
| | [Ludvae2](https://slow.pics/c/iIhgHokD) |
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