Fast Style Transfer in TensorFlow
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼. Contribute to lengstrom/fast-style-transfer development by creating an account on GitHub.
Fast Style Transfer in TensorFlow launched on October 31, 2016 with 184 votes, #134 of 3,690 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 9 years on.
In plain words
Fast Style Transfer in TensorFlow is a tool that applies artistic styles to images and videos using neural networks. Developed as open-source software, it enables users to transform photos with the visual characteristics of famous paintings or other artistic styles. The project is suitable for creative professionals, developers, and enthusiasts interested in machine learning applications. It runs on TensorFlow and processes images significantly faster than traditional style transfer methods.
written from the facts on this page · September 2026
Does a similar job
all alternatives →
Paint yourself in the style of classic art, in your browser2017 · github.com · ▲266Demo of in-browser Fast Neural Style Transfer with deeplearn.js library - reiinakano/fast-style-transfer-deeplearnjs
Paint any photo in the style of any painting, directly in your browser2018 · github.com · ▲46Arbitrary style transfer using TensorFlow.js. Contribute to reiinakano/arbitrary-image-stylization-tfjs development by creating an account on GitHub.


- NNNeural network turns photos into a specific style of painting2015 · instapainting.com · ▲75
Free to use online neural network photo to painting generator.

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