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 Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Spaces using Phips/4xNomosUniDAT_otf 4