---
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_dat2  
Scale: 4  
Architecture: [DAT](https://github.com/zhengchen1999/dat)  
Architecture Option: [dat2](https://github.com/muslll/neosr/blob/5fba7f162d36052010169e6517dec3b406c569ab/neosr/archs/dat_arch.py#L1111)  

Author: Philip Hofmann  
License: CC-BY-0.4  
Purpose: Upscaler  
Subject: Photography  
Input Type: Images  
Release Date: 29.08.2024  

Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets)  
Dataset Size: 6000  
OTF (on the fly augmentations): No  
Pretrained Model: DAT_2_x4  
Iterations: 140'000  
Batch Size: 4  
Patch Size: 48  

Description:   
A dat2 4x upscaling model, similiar to the [4xNomos2_hq_mosr](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_mosr) model, trained and for usage on non-degraded input to give good quality output. 

I scored 7 validation outputs of each of the 21 checkpoints (10k-210k) of this model training with 68 metrics.   
[The metric scores can be found in this google sheet](https://docs.google.com/spreadsheets/d/1NL-by7WvZyDMHj5XN8UeDALVSSwH70IKvwV65ATWqrA/edit?usp=sharing).  
The corresponding image files for this scoring can be [found here](https://drive.google.com/file/d/1ZTp9fBMeawftNqzg4RN9_zIvHtul5jVc/view?usp=sharing)    
Screenshot of the google sheet:  
![image](https://github.com/user-attachments/assets/bc6ff9e5-d012-4b15-9e7b-766896cf3d2f)  

Release checkpoint has been selected by looking at the scores, manually inspecting, and then getting responses on discord which chose B to this quick visual test, A B or C, which denote different checkpoints: https://slow.pics/c/8Akzj6rR

Checkpoint B is 140k which is 4xNomos2_hq_dat2. But I added checkpoint A (4xNomos2_hq_dat2_150000) and checkpoint C (4xNomos2_hq_dat2_10000) model files additionally here if people want to try them out).

## Model Showcase:
[Slowpics](https://slow.pics/c/yuue9WpF)

(Click on image for better view)
![Example1](https://github.com/user-attachments/assets/151d3f10-ea2d-4466-a4ed-595f164ec025)
![Example2](https://github.com/user-attachments/assets/9ac764ff-42a7-4a50-89a8-dbde3ca4407e)
![Example3](https://github.com/user-attachments/assets/62fc5c91-1320-4561-bb1d-c7c5c740ca7d)
![Example4](https://github.com/user-attachments/assets/5f44ff1a-a2d3-4942-9f73-c6a3b41fe15b)
![Example5](https://github.com/user-attachments/assets/46baa7c5-5a75-4971-8f3c-01657efd566f)
![Example6](https://github.com/user-attachments/assets/1dff06a4-0870-4d57-bd50-22409023da64)
![Example7](https://github.com/user-attachments/assets/b7681172-c560-4d93-96f3-07b206ad699b)