Link to Github Release

4xNomos2_hq_mosr

Scale: 4
Architecture: MoSR
Architecture Option: mosr

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Upscaler
Subject: Photography
Input Type: Images
Release Date: 25.08.2024

Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 4xmssim_mosr_pretrain
Iterations: 190'000
Batch Size: 6
Patch Size: 64

Description:
A 4x MoSR upscaling model, meant for non-degraded input, since this model was trained on non-degraded input to give good quality output.

If your input is degraded, use a 1x degrade model first. So for example if your input is a .jpg file, you could use a 1x dejpg model first.

PS I also provide an onnx conversion in the Attachements, I verified correct output with chainner:

Model Showcase:

Slowpics

(Click on image for better view)