https://github.com/timnekk/gigapixel
Topaz Gigapixel AI Automation Library
https://github.com/timnekk/gigapixel
automation photo-enhance python topaz topaz-gigapixel-ai upscale windows
Last synced: 6 months ago
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Topaz Gigapixel AI Automation Library
- Host: GitHub
- URL: https://github.com/timnekk/gigapixel
- Owner: TimNekk
- License: apache-2.0
- Created: 2022-07-22T17:16:59.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-15T09:10:30.000Z (9 months ago)
- Last Synced: 2025-03-31T06:01:44.731Z (6 months ago)
- Topics: automation, photo-enhance, python, topaz, topaz-gigapixel-ai, upscale, windows
- Language: Python
- Homepage: https://pypi.org/project/gigapixel/
- Size: 282 KB
- Stars: 47
- Watchers: 6
- Forks: 9
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
Gigapixel
Topaz Gigapixel AI automation tool
Requirements •
Installation •
Usage •
Contributing •
License
## Requirements
Tested on [Topaz Gigapixel AI](https://www.topazlabs.com/gigapixel-ai) **v7.2.3**
## Installation
Install the latest version with [PyPI](https://pypi.org/project/gigapixel/)
```bash
pip install -U gigapixel
```
## Usage
```python
from gigapixel import Gigapixel
gp = Gigapixel(r"C:\Program Files\Topaz Labs LLC\Topaz Gigapixel AI\Topaz Gigapixel AI.exe")
gp.process(r"path\to\image.jpg")
```
Additional parameters can be passed to `process()` method:
```python
from gigapixel import Scale, Mode
gp.process(
r"path\to\image.jpg",
scale=Scale.X2,
mode=Mode.STANDARD,
)
```
> **Warning!**
> Using parameters (`scale`, `mode`) may take **additional time** to process single image.
> Consider using them only when needed.
> To get the best performance, use `gp.process(r"path\to\image.jpg")`
## Contributing
Bug reports and/or pull requests are welcome
## License
The module is available as open source under the terms of the [Apache License, Version 2.0](https://opensource.org/licenses/Apache-2.0)