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arXiv · 2609.37107

Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware

Rajit Rajpal·Shahbuland Matiana·Liew Wei Pyn·Anmol Agarwal·Ryan Craig·Andrew Lapp·Mithun Hunsur·Sami BuGhanem·Scottie Fox·Aaron Sanders Carson Poole·Irene Park·Dave Rossi·Spencer Frazier·Louis Castricato
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Abstract

We present Waypoint 1.5, a real-time diffusion world model for interactive video generation on consumer-grade hardware. Unlike general video diffusion models, interactive world models (iWMs) must respond to dense user controls under strict latency and throughput constraints. Waypoint 1.5 is pre-trained on 100,000 hours of diverse, control-aligned video game data across hundreds of games, and generates playable video conditioned on full keyboard and mouse input. The model includes two resolution variants that run across a wide spectrum of consumer hardware. To characterize this unique setting, we distinguish rendered FPS, latent FPS, and control rate. We describe the data pipeline, architecture, training methodology, and runtime system behind Waypoint 1.5. We evaluate interactivity through latency and throughput. Finally, we discuss the safety and ethics considerations unique to iWMs.

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Rajit Rajpal, Shahbuland Matiana, Liew Wei Pyn, Anmol Agarwal, Ryan Craig, Andrew Lapp, Mithun Hunsur, Sami BuGhanem, Scottie Fox, Aaron Sanders Carson Poole, Irene Park, Dave Rossi, Spencer Frazier, Louis Castricato. 2026-09-29. Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware. https://arxiv.org/abs/2609.37107

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