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DWTP_descreenton_H_esrgan
by 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.
Architecture | ESRGAN |
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Scale | 4x |
Color Mode | |
License | CC-BY-4.0 Private use Commercial use Distribution Modifications Credit required State Changes No Liability & Warranty |
Date | 2023-10-04 |
Dataset | custom dataset |
Dataset size | 76000 |
Training iterations | 108000 |
Training epochs | 8 |
Training batch size | 6 |
Training HR size | 192 |