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Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs
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Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs

Waypoint-1.5 Weights on the Hub

  • Waypoint-1.5-1B
  • Waypoint-1.5-1B-360P

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What is Waypoint-1.5?

Waypoint-1.5 is Overworld’s next real-time video world model, built to bring interactive generative worlds to the hardware people actually own.

The first release of Waypoint showed that real-time generative worlds were possible. It proved that interactive world models could be more than passive video demos, and that locally runnable systems could begin to close the gap between generating a world and actually stepping into one.

Waypoint-1.5 builds directly on that foundation. This release improves visual fidelity, expands the range of hardware that can run the model locally, and takes another step toward interactive world simulation without datacenter-scale compute.

On desktop hardware including RTX 3090 through 5090, Waypoint-1.5 can generate real-time environments at up to 720p and 60 FPS. This release also introduces a 360p tier designed to run smoothly across a much broader range of consumer hardware, including gaming laptops, and (soon) Apple Silicon Macs.

What’s new in Waypoint-1.5?

The biggest change in Waypoint-1.5 is accessibility.

With Waypoint-1, we proved the core experience. With Waypoint-1.5, we wanted to make that experience available on more machines without giving up real-time interactivity. That meant building two model tiers: a 720p model for higher-performance hardware, and a 360p model optimized for broader deployment.

We also scaled training dramatically. Waypoint-1.5 was trained on nearly 100x more data than Waypoint-1, which significantly improves the model’s ability to generate more coherent environments and more consistent motion over time.

Why this matters for world models

A lot of recent progress in generative video and world models has focused on visual fidelity. Those results matter, but fidelity alone is not what makes an interactive world feel real.

Original source

This story was published by Hugging Face Blog. SyncAI.news shows a preview; the complete article is on the publisher's site.

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