Name: 1x Bendel_Halftone
Author: Bendel

A model trained with the goal of preserving texture while removing halftones. I do plan on making improved versions down the line, as this one didn't come out as well as I'd like.

Bendel_Halftone

model was created as a compact analog of popular models that delete a screenton in the process of overlaying a new screenton.

Speed(image:1441x2048, video card: 3060 12gb)

  1x_wtp_descreentone_compact: 1.2 sec.

wtp_descreentone_compact

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.

Bendel_Halftone

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