Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image.

Heroku Servers provide limited memory. So, server might crash after single use. Also, loading time is much higher.

Google Colab provides the virtual environment to run a Flask based Web-App which is tunneled to Internet with the help of Ngrok. A Bare Minimum Setup 😉

All you have to do is to open the colab instance and run the only cell and you are ready to stylize the images.

• ReactJS
• Tensorflow 2.0
• Open-CV
• Flask
• Ngrok

Distributed under the MIT License. See LICENSE for more information.

Sneh Sagar - [email protected]

Project Link: https://github.com/snehsagarajput/nst-app