---
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/4xLSDIRCompact2)  

# 4xLSDIRCompact2

Name: 4xLSDIRCompact2  
Author: Philip Hofmann  
Release Date: 25.03.2023  
License: CC BY 4.0  
Model Architecture: SRVGGNetCompact  
Scale: 4  
Purpose: 4x fast photo upscaler  

Iterations: CompactC 205’000 & CompactR 150’000  
batch_size: Variable(1-10)  
HR_size: 256  
Dataset: LSDIR  
Dataset_size: 84991  
OTF Training No  
Pretrained_Model_G: 4x_Compact_Pretrain.pth  

Description: 4xLSDIRCompactv2 supersedes the previously released models, it combines all my progress on my compact model. Both CompactC and CompactR had received around 8 hours more training since release with batch size 10 (CompactR had only been up to 5 on release), and these two were then interpolated together. This allows v2 to handle some degradations, while preserving the details of the CompactC model. Examples: https://imgsli.com/MTY0Njgz/0/2

![Example1](https://github.com/Phhofm/models/assets/14755670/52b1a610-fdbd-4e0b-b4ce-0063242ed73b)