Key Features

14B autoregressive world model.
Three-step CFG-free sampling.
Persistent world-state memory.
Camera-controlled navigation.
Hours-long continuous generation.
On-demand world changes.
Long-horizon interactive teacher.
Fully open-source paper, weights, and code.

The architecture decouples persistent world state from the denoiser and addresses that state through camera pose. A long-horizon interactive teacher transfers extended-session behavior to the few-step model, while a multi-term memory and world-state bank feed autoregressive diffusion transformer blocks.


Evoke is useful for interactive simulations, game-like environments, embodied-agent research, virtual worlds, and creative exploration. Users can navigate, turn, introduce new objects or events, and alter the world while generation is already running instead of restarting from a new prompt.

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