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4xNomosWebPhoto_atd

4xATDby Helaman

Good for

RealisticRestoration

4xNomosWebPhoto_atd

Scale: 4
Architecture: ATD
Architecture Option: atd
Github Release Link

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Photography
Input Type: Images
Release Date: 07.06.2024

Dataset: Nomos-v2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 003_ATD_SRx4_finetune.pth
Iterations: 460'000
Batch Size: 6, 2
GT Size: 128, 192

Description:

4x ATD model for photography, trained with realistic noise, lens blur, jpg and webp re-compression.
ATD version of 4xNomosWebPhoto_RealPLKSR, trained on the same dataset and in the same way. For more information look into the 4xNomosWebPhoto_RealPLKSR release, and the pdf file in its attachments.

Showcase: Slow Pics 18 Examples

Training details (7)
Date
2024-06-07
Dataset
Nomos-v2
Dataset size
6000
Training iterations
460000
Training batch size
2
Training HR size
192
Training OTF
No
How to upscale →Understanding licenses →

Downloads

Download (78.2 MB)
PyTorch .pth file / Hosted by GitHub
Download (77.9 MB)
PyTorch .safetensors file / Hosted by GitHub

Model

Architecture
ATD
Scale
4x
Size
210dim16w256cat
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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