PixVerse Introduces R2, Advancing Its Real-Time World Model

ℹ️ Source: PixVersePixVerse introduces R2, its real-time world model that keeps a generated world running, persistent, and responsive as a user moves through it.

SINGAPORE – 23 SEP 2026 – PixVerse, a global AI video generation platform, today introduced R2, the latest upgrade to its real-time world model. R2’s central advance is scale: a real-time world model that keeps getting more capable—more persistent, more responsive to context—without giving up the speed to run live.

The Scaling Problem, and R2’s Answer

Scaling, the practice of feeding a model more data and compute to make it more capable, has driven much of the progress in large language models. It has been far harder to apply to real-time world models, because two of their demands pull against each other. Making a model fast enough to respond live tends to make it simpler; making it more capable tends to make it slower. Historically, teams have had to choose.

PixVerse designed R2’s architecture so that speed and capability no longer have to be traded against each other. Rather than forcing that choice, R2 splits the work into two stages built on the same foundation. Omni Causal AR grows a single model’s capability, learning across more data, more input types, more tasks, and longer sessions. A real-time acceleration layer then compresses that same model to run live, so gains in capability no longer come at the cost of speed. The result is a real-time world model with a clear, repeatable path to keep improving. Full architecture and evaluation details are available in the technical report.

“Large language models showed that scaling is a reliable path to capability,” said Changhu Wang, Co-Founder and CEO of PixVerse. “R2 is our case that real-time world models can follow a similar path, that with the right architecture, a model can keep getting more capable without giving up real-time interaction. Over time, this is how a creation tool becomes an environment people can enter and shape.”

From World Model to Playable Games

That capability shows up as a world that stays consistent while a user is in it. R2 stays coherent over far longer sessions, remembers what happens inside a session and carries it forward, and takes text, references, audio, and action controls into the same running world. Input persists: an earlier action remains true later in the same session, so the world responds to what a user does rather than resetting between moments.

This is what makes the model usable for real experiences. PixVerse’s game engine, first launched in July 2026, now runs on R2, letting creators build worlds that players shape as they play rather than worlds built entirely in advance.

Interactive projects built on R2, like the film-game Zero Mark, show the same encounter branching into different outcomes depending on what a player does. Further examples are available on the PixVerse site.

“What’s exciting is what creators have been building on our world model since we opened the beta in July,” said Jaden Xie, Co-Founder and President of PixVerse. “We believe our video models will empower more creators in bringing their ideas to life.”

R2 is open to explore now at world.pixverse.video.

About PixVerse:

PixVerse is a global AI video generation platform trusted by over 150 million users across 177+ countries. With a suite of proprietary models developed entirely in-house, PixVerse empowers anyone to create cinematic-quality video from a prompt, photo, or clip. In January 2026, PixVerse launched R1, the world’s first real-time world model, transforming video into an infinite, continuous, and interactive stream. R2 builds on that foundation, scaling the real-time world model to run longer, more coherent sessions. With teams distributed across Asia and the US, PixVerse was founded in 2023 with a commitment to making video the universal language of human expression. In March 2026, PixVerse closed its Series C round, achieving unicorn status. For more information, visit pixverse.ai.

For more information, please contact:

Robyn Tan, media@pixverse.ai