Purpose: remove paper texture and screentone from independent manga scans

Well, I don’t even know how to describe it, a small breakthrough in my war with self-scans, I’m still not very happy with it, but maybe the lump will come in handy one day https://discord.com/channels/547949405949657098/547949806761410560/1204387665798103050

DWTP DP dat2 beta

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

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

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DWTP DP dat2 beta

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