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:
