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Good for
this model aims to improve further on what has been achieved by the regular 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as the aforementioned models. It generates less moiré like patterns and keeps details without oversharpening or blurring the image too much.
Training details (6)
- Date
- 2020-02-12
- Dataset
- Wallpapers
- Training iterations
- 70000
- Training epochs
- 11
- Training batch size
- 8
- Training HR size
- 128
Model
Rights
GPL-3.0-onlyDisclaimer
Private use
Commercial use
Distribution
Modifications
Credit required
Same License
State Changes
No Liability & Warranty