2xNomosUni_compact_otf_medium
Name: 2xNomosUni_compact_otf_medium
Author: Philip Hofmann
Release Date: 11.01.2024
License: CC BY 4.0
Network: SRVGGNetCompact
Scale: 2
Purpose: 2x fast universal upscaler with medium degradation handling (jpg compression, noise, blur)
Iterations: 276'000
epoch: 218
batch_size: 12
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: Yes
Pretrained_Model_G: 2xNomosUni_compact_otf_strong
Description:
2x compact fast universal upscaler with medium degradation handling using the Real-ESRGAN training pipeline, based off 2xNomosUni_compact_otf_strong. Handles jpg compression, some noise, and some blur (so dejpgs, denoises and deblurs).
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.