---
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/4xNomos2_hq_drct-l)  

# 4xNomos2_hq_drct-l  
Scale: 4  
Architecture: [DRCT](https://github.com/ming053l/DRCT)  
Architecture Option: [drct_l](https://github.com/muslll/neosr/blob/dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74/neosr/archs/drct_arch.py#L937)  

Author: Philip Hofmann  
License: CC-BY-0.4  
Purpose: Upscaler  
Subject: Photography  
Input Type: Images  
Release Date: 08.09.2024  

Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets)  
Dataset Size: 6000  
OTF (on the fly augmentations): No  
Pretrained Model: DRCT-L_X4  
Iterations: 200'000  
Batch Size: 2  
Patch Size: 64  

Description:   
An drct-l 4x upscaling model, similiar to the [4xNomos2_hq_atd](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_atd), [4xNomos2_hq_dat2](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_dat2) and [4xNomos2_hq_mosr](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_mosr) models, trained and for usage on non-degraded input to give good quality output. 

## Model Showcase:  
[Slowpics](https://slow.pics/c/1mODuuUS)  

(Click on image for better view)
![Example1](https://github.com/user-attachments/assets/9cfff300-c237-4e07-9b74-b177e0880aca)
![Example2](https://github.com/user-attachments/assets/96019753-9310-43b4-9163-5d3c1edba2b4)
![Example3](https://github.com/user-attachments/assets/09050b71-cafb-4b77-b911-eae33578771e)
![Example4](https://github.com/user-attachments/assets/c18178f0-1c5f-48d5-a443-f791bd672a13)
![Example5](https://github.com/user-attachments/assets/e50b4f0b-4e18-45c2-94f8-94d9b465b38c)