Use Style Transfer to bring real-time artistic style transfer to your apps. Transform photos with beautiful patterns or turn them 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 25 different styles, with many replicating famous paintings.
¶ Style Input Output Bicentennial Print from America: The Third Century by Roy Lichtenstein Les Femmes d’Alger by Picasso Head of a Clown Horses on the Seashore by Giorgio de Chirico The Poppy Field by Claude Monet Ritmo Plastico by Gino Severini Starry Night by Vincent Van Gogh The Scream by Edvard Munch The Trial by Sidney Nolan
¶ Style Input Output Blue Arrow Comic Filament Green Blocks Kaleidoscope Lamp Post Mosaic Notre Dame Pink and Blue Rhombuses Shades Sketch Snowflake Sprinkles Swirl Tile Vector
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.