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.

DWTP_descreenton_H_esrgan

DWTP_descreenton_VH4

DWTP_descreenton_VL4

I just decided to finish off the previous one, made the manga design more clear and corrected the deviation in color temperature by adding a more diverse set of colors

WTP UDS Esrgan

Purpose: pre-workout to speed up your workouts

I see that many people are trying manga scale models on the Omni, and to speed up the process I decided to do preliminary training, the only loss is the resize: (“lanczos”, “bicubic”, “bilenear”, “HAMMING”)

Original link: https://drive.google.com/drive/folders/1ln1ZneTvqPbvi8nsJwzjMoYSDQ_DcHBS?usp=sharing

wtp manga p omni

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