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Good for
As the name might suggest, this model aims to upscale text with less distortion that other models. It seems to do a good job generally, but don't expect it to be a state of the art model that can upscale magazines and stuff. It makes things more readable but since it was train on B/W pictures it desaturates them.
Training details (7)
- Date
- 2020-03-04
- Dataset
- Randomly generated text, with randomly chosen fonts with varying sizes. Black text on white background
- Dataset size
- 44550
- Training iterations
- 86000
- Training epochs
- 7
- Training batch size
- 4
- Training OTF
- No
Model
Rights
GPL-3.0-onlyDisclaimer
Private use
Commercial use
Distribution
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Credit required
Same License
State Changes
No Liability & Warranty