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4xTextures_GTAV_rgt-s_dither

4xRGTby Helaman

Good for

Compression RemovalDeditherGame TexturesJPEGRestoration

4xTextures_GTAV_rgt-s_dither

Scale: 4
Architecture: RGT
Architecture Option: RGT-S

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Game Textures
Input Type: Images
Release Date: 08.05.2024

Dataset: GTAV_512_Textures
Dataset Size: 7061
OTF (on the fly augmentations): No
Pretrained Model: 4xTextures_GTAV_rgt-s
Iterations: 128'000
Batch Size: 6,4
GT Size: 128,256

Description: A model to upscale game textures, trained on GTAV Textures, handles jpg compression down to 80 and was trained with dithering. Basically the previous 4xTextures_GTAV_rgt-s model but extended to handle dithering.

Showcase:
Slow Pics 25 Examples

Training details (7)
Date
2024-05-08
Dataset
GTAV_512_Textures
Dataset size
7061
Training iterations
128000
Training batch size
4
Training HR size
256
Training OTF
No
How to upscale →Understanding licenses →

Downloads

Download (129.7 MB)
PyTorch .pth file / Hosted by GitHub
Download (129.3 MB)
PyTorch .safetensors file / Hosted by GitHub
Download (43.9 MB)
ONNX .onnx file / Hosted by GitHub

Model

Architecture
RGT
Scale
4x
Color Mode

Rights

CC-BY-4.0
Private use
Commercial use
Distribution
Modifications
Credit required
State Changes
No Liability & Warranty
Disclaimer

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