https://github.com/baselhusam/art-styleify
https://github.com/baselhusam/art-styleify
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/baselhusam/art-styleify
- Owner: baselhusam
- License: mit
- Created: 2023-07-04T18:51:49.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-23T21:53:12.000Z (over 1 year ago)
- Last Synced: 2025-01-25T09:14:20.958Z (4 months ago)
- Language: Python
- Size: 1.56 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Art Styleify
Art Styleify is a web application that allows you to transform your photos into stunning masterpieces using various artistic styles. With just a few clicks, you can apply the style of famous artists like Van Gogh, Josef Sima, Man Ray, Max Ernst, and Wassily Kandinsky to your images. Unleash your creativity and create unique artwork effortlessly!
## Features
- Choose from a wide range of art styles inspired by renowned artists.
- Upload your own images or select from a collection of example images.
- Real-time preview of the stylized image.
- Download the stylized image with a single click.
- Share your masterpieces on social media.
## Technologies Used
- Python
- TensorFlow
- TensorFlow Hub
- Streamlit
- Pandas
- Matplotlib
- PIL (Python Imaging Library)
## Getting Started
To get started with Art Styleify **Locally**, follow these steps:
1. Clone the repository: `git clone https://github.com/your-username/art-styleify.git`
2. Install the required dependencies: `pip install -r requirements.txt`
3. Run the application: `streamlit run main.py`
4. Open your web browser and visit `http://localhost:8501`.
Or, Visit the application itself on [art-styleify.streamlit.app](https://art-styleify.streamlit.app)
## Usage
1. Select an art style from the provided options or upload your own style image.
2. Choose a content image or upload your own image to apply the selected art style.
3. Click the "Make the Art 🖌️" button to process the image.
4. View the stylized image and download it if desired.
## Contributing
We welcome contributions from the community to enhance Art Styleify. If you find any issues or have suggestions for new features, please open an issue or submit a pull request. Let's make Art Styleify even better together!
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.
## Acknowledgements
- The art style models used in this project are based on the [Arbitrary Image Stylization](https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2) model by TensorFlow Hub.
- Example images were sourced from [WikiArt](https://www.wikiart.org).
## Contact
For any questions or inquiries, please contact us at **[email protected]**.
Visit our website: [www.art-styleify.streamlit.app](https://www.art-styleify.streamlit.app)