{"version":"1.0","type":"rich","title":"Gist ae31ce5b693d662b3add4af2919cea65","description":"This example shows a Unity application that captures frames from a camera, sends them to a remote machine-learning API, and displays the stylized result in a UI Image component. It uses MiniJSON to serialize the image as base64-encoded PNG data into a JSON payload for a POST request to a RunwayML-style endpoint. The script repeatedly captures the camera’s RenderTexture at a set interval, uploads it, and updates a Preview sprite with the returned stylized image. It demonstrates real-time image processing through an external model with a simple polling loop to keep the remote service active.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-ae31ce5b693d662b3add4af2919cea65?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}