Edit model card

Link to Github Release

4xNomosUniDAT_otf

Name: 4xNomosUniDAT_otf
Author: Philip Hofmann
Release: 23.09.2023
License: CC BY 4.0
Network: DAT
Scale: 4
Purpose: 4x multipurpose upscaler otf version (resize, jpg, noise, blur)
Iterations: 150000
epoch: 70
batch_size: 8
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: Yes
Pretrained_Model_G: DAT_x4.pth

Description: 4x multipurpose dat upscaler that handles resize, jpg compression, noise and blur. Trained on DAT with Adan, U-Net SN, huber pixel loss, huber perceptual loss, vanilla gan loss and huber color loss, on paired nomos_uni (universal dataset containing photographs, anime, text, maps, music sheets, paintings ..).

Some Imgsli examples:
Real degraded photo
JPG Compression
Noisy Photo
Manga

Example1 Example2 Example3 Example4

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Examples
Unable to determine this model's library. Check the docs .

Spaces using Phips/4xNomosUniDAT_otf 2