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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/4xHFA2k)
# 4xHFA2k
Name: 4xHFA2k
Author: Philip Hofmann
Release Date: 07.05.2023
License: CC BY 4.0
Network: ESRGAN (RRDBNet)
Scale: 4
Purpose: An anime images 4x upscaling model based on musl's HFA2k dataset
Iterations: 91,000
batch_size: 9
HR_size: 256
Epoch: 318 (require iter number per epoch: 286)
Dataset: HFA2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: RealESRGAN_x4plus.pth
Training time: 36h on a P100 GPU
Description: 4x anime image upscaler with a bit of otf jpg compression and blur. Trained on musl's hfa2k dataset release for Anime SISR, which has been extracted from modern anime films, where the selection criteria was high SNR, no DOF and high frequency information.
Examples: https://imgsli.com/MTc2NDgx
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