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@Phhofm Phhofm released this 18 Mar 20:41
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4xRealWebPhoto_v2_rgt_s
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Learn about vigilant mode.

I will probably start releasing each of my trained models here as an individual github release entry so model files are in releases, with a stable link (have some catching up to do)

Name: 4xRealWebPhoto_v2_rgt_s
License: CC BY 4.0
Author: Philip Hofmann
Network: RGT
Network Option: RGT-S
Scale: 4
Release Date: 10.03.2024
Purpose: 4x real web photo upscaler, meant for upscaling photos downloaded from the web
Iterations: 220'000
epoch: 5
batch_size: 16
HR_size: 128
Dataset: 4xRealWebPhoto_v2 (see details in attached pdf file)
Number of train images: 1'086'976 (or 543'488 pairs)
OTF Training: No
Pretrained_Model_G: RGT_S_x4

Description:
4x real web photo upscaler, meant for upscaling photos downloaded from the web. Trained on my v2 of my 4xRealWebPhoto dataset, it should be able to handle realistic noise, jpg and webp compression and re-compression, scaling and rescaling with multiple downscampling algos, and handle a little bit of lens blur.

Thought featuring degraded images in the examples, this model should also be able to handle good quality input.

Details about the approach/dataset I made to train this model (and therefore also what this model would be capable of handling) is in the attached pdf.

My previous tries of this dataset, meaning v0 and v1, will get a separate entry, though this version would be recommended over them.

12 Examples on Slowpics

4xRealWebPhoto_v2_rgt_s_ex1
4xRealWebPhoto_v2_rgt_s_ex2
4xRealWebPhoto_v2_rgt_s_ex3
4xRealWebPhoto_v2_rgt_s_ex4

Assets 7