license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
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
Imgsli2
Imgsli3