Use Style Transfer to bring real-time artistic style transfer to your apps. Transform photos into masterpieces painted by history’s greatest artists. Models run in real-time so you can create great experiences.
Models Compatible with the API
Architecture Format(s) Size Input Output Benchmarks Fast Style Transfer Core ML (iOS), TensorFlow Lite (Android) 17 KB (8-bit quantization); 467 KB (stabilized) Arbitrary size images (iOS12); 640x480-pixel image Stylized image 28 FPS on iPhone X, 2 FPS on Pixel 2
Pre-trained Models - Include our models directly in your app and use them with the API. Choose from 11 different styles, many replicating styles of famous paintings.
Painting / Style Input Output Starry Night by Vincent Van Gogh The Scream by Edvard Munch The Poppy Field by Claude Monet Bicentennial Print from America: The Third Century by Roy Lichtenstein Les Femmes d’Alger by Picasso Horses on the Seashore by Giorgio de Chirico The Trial by Sidney Nolan Ritmo Plastico by Gino Severini A view through a kaleidoscope. Pink and blue rhombuses style.
Customizing Models for Style Transfer
If you’d like to train a custom style transfer model with your own image and make it compatible with the Style Transfer API, sign up for the Standard Plan on Fritz.
Stable Style Transfer
For video, visually stabilized style transfer creates beautiful continuity between frames. This training template is available as part of the Standard plan.