Use Temporal Foundation Model to predict drawing (github.com)

Mistral has introduced Timestral, a groundbreaking temporal foundation model that predicts human hand sketches in real-time, projecting the next two seconds of drawing as users create. This innovative model generates 21 quantiles represented by a vibrant spectrum of colors, providing a dynamic visual representation of possible future strokes. As users draw, the lines smoothly transition in hue, reflecting the proximity to various forecast outcomes, with a fading opacity that builds an engaging visual effect on the canvas. The significance of Timestral lies in its ability to enhance user interaction through predictive modeling, particularly in creative fields where sketching is essential. With a context window of up to 32,768 steps (about 9 minutes), it allows intricate user input to be captured, while also accommodating real-time updates with minimal latency. The open-source availability of Timestral enables developers to integrate sophisticated drawing predictions into various applications without needing extensive computational resources, making this technology both accessible and practical for the AI/ML community.