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4xNomos2_otf_esrgan

4xESRGANby Helaman

Good for

Compression RemovalJPEGRealisticRestoration

4xNomos2_otf_esrgan

Scale: 4
Architecture: ESRGAN
Architecture Option: esrgan
Github Release Link

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Photography
Input Type: Images
Release Date: 22.06.2024

Dataset: Nomos-v2
Dataset Size: 6000
OTF (on the fly augmentations): Yes
Pretrained Model: RealESRGAN_x4plus
Iterations: 246'000
Batch Size: 8
GT Size: 256

Description:

4x ESRGAN model for photography, trained using the Real-ESRGAN otf degradation pipeline.

Showcase: Slow Pics 8 Examples

Training details (7)
Date
2024-06-22
Dataset
Nomos-v2
Dataset size
6000
Training iterations
246000
Training batch size
8
Training HR size
256
Training OTF
Yes
How to upscale →Understanding licenses →

Downloads

Download (32.1 MB)
PyTorch .pth file / Hosted by GitHub
Download (31.9 MB)
PyTorch .safetensors file / Hosted by GitHub
Download (63.9 MB)
ONNX .onnx file / Hosted by GitHub

Model

Architecture
ESRGAN
Scale
4x
Size
64nf23nb
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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