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DWTP_descreenton_VH4

4xOmniSRby umzi.x.dead

I've been experimenting a lot since the last descripton was released to save even more detail, and to get rid of some of the beginner's soreness. All three models are not yet perfect and I will develop them, but what is the essence of the three models, the models on omni is just a division of VL eats less large screenton, VH is just a re-trained model on a modified dataset and with VL as a prevoritolnoy shadowing that it would demolish more screenton, while not going to demolish all the textures and very large screenton. Esrgan model was trained on a dataset VH for use in the colab, it works in some places worse than Omni, so could not fight with overlapping screenton.

Training details (7)
Date
2023-10-04
Dataset
custom dataset
Dataset size
76000
Training iterations
108000
Training epochs
8
Training batch size
6
Training HR size
192

Model

Architecture
OmniSR
Scale
4x
Color Mode

Rights

CC-BY-4.0
Private use
Commercial use
Distribution
Modifications
Credit required
State Changes
No Liability & Warranty
Disclaimer

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