---
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/2xHFA2k_LUDVAE_SPAN)  

# 2xHFA2k_LUDVAE_SPAN

Name: 2xHFA2k_LUDVAE_SPAN  
Author: Philip Hofmann    
Release Date: 26.12.2023   
License: CC BY 4.0  
Network: SPAN  
Scale: 2  
Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on musl's HFA2k_LUDVAE dataset  
Iterations: 38,900  
batch_size: 90  
HR_size: 128  
Epoch: 54  
Dataset: HFA2kLUDVAE  
Number of train images: 10270  
OTF Training: No  
Pretrained_Model_G: 2x_span_anime_pretrain  

Description: 2x lightweight anime upscaler with realistic degradations (compression, noise, blur) based on musl's HFA2k_LUDVAE dataset.  

![2xHFA2k_LUDVAE_SPAN](https://github.com/Phhofm/models/assets/14755670/78e79070-bd7f-4aca-8271-3dceb1c05790)
![2xHFA2k_LUDVAE_SPAN](https://github.com/Phhofm/models/assets/14755670/784ef633-be8c-492c-bcbf-2a3e307f62a5)