---
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/4xFFHQDAT)  

# 4xFFHQLDAT

Since the 4xFFHQDAT model is not able to handle the noise present in low quality input images, i made a small variant/finetune of this, the 4xFFHQLDAT model. This model might come in handy if your input image is of bad quality/not suited for above model. I basically made this model in a response to an input image posted in upscaling-results channel as a request to this upscale model (since 4xFFHQDAT would not be able to handle noise), see Imgsli1 example below for result.

Name: 4xFFHQLDAT  
Author: Philip Hofmann  
Release Date: 25.08.2023  
License: CC BY 4.0  
Network: DAT  
Scale: 4  
Purpose: 4x upscaling model for low quality input photos of faces  
Iterations: 44000  
batch_size: 4  
HR_size: 128  
Dataset: FFHQ - full dataset till 50k, then first 10k img multiscaled (resulted in ~260k imgs, 126GB)  
Number of train images: 259990  
OTF Training: Yes  
Pretrained_Model_G: 4xFFHQDAT  

Examples 4xFFHQLDAT:  
[Imgsli1](https://imgsli.com/MjAwNjYx)  
[Imgsli2](https://imgsli.com/MjAwNjYy)  
[Imgsli3](https://imgsli.com/MjAwNjYz)  


![Example6](https://github.com/Phhofm/models/assets/14755670/61b3cff7-117b-4510-bdcf-cd49a1494227)  
![Example7](https://github.com/Phhofm/models/assets/14755670/de8e63a4-3b7b-4583-b638-720bb6423b2d)