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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)
# 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.
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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