---
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/2xHFA2kAVCCompact)  

# 2xHFA2kAVCEDSR_M

Name: 2xHFA2kAVCEDSR_M  
Author: Philip Hofmann  
Release Date: 18.06.2023  
License: CC BY 4.0  
Network: EDSR M  
Scale: 2  
Purpose: Fast 2x anime upscaling model that handles AVC (h264) degradation  
Iterations: 186,000  
batch_size: 2-5  
HR_size: 384  
Epoch: 317 (require iter number per epoch: 1284)  
Dataset: HFA2k_h264  
Number of train images: 2568  
OTF Training: No  
Pretrained_Model_G: None  

Description: A 2x EDSR M anime upscale model that handles AVC (h264) degradation. Applied h264 crf 20-28 degradation and bicubic, bilinear, box and lanczos downsampling on the HFA2k dataset with Kim's dataset destroyer.

![image](https://github.com/Phhofm/models/assets/14755670/7cd72469-4631-4f20-b5af-227692b1879a)  
![324388155-7cd72469-4631-4f20-b5af-227692b1879a](https://github.com/Phhofm/models/assets/14755670/d641c8b4-6061-4131-9aeb-7bac0f49e1d1)