[KongchangAI]
ModelLingBot-World / LingBot-World 2.0 1.3B

LingBot-World 2.0

An interactive video diffusion world model with 1.3 billion parameters that autoregressively predicts subsequent frames from an initial frame and action instructions, generating controllable virtual environments. It is classified as a lightweight world model.

Timeline (last 90 days)

Sep 19

A developer increased the inference speed of the LingBot-World 2.0 1.3B model on a single RTX 5090 from 6 FPS to 16 FPS and open-sourced the code.

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Sep 19

The optimized LingBot-World 2.0 inference speed is 2.5 times faster than SGLang Diffusion.

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Sep 19

The optimized LingBot-World 2.0 inference speed is 1.9 times faster than NVIDIA FlashDreams.

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Sep 19

When mainstream inference engines run this model on the same hardware, the speed is generally stuck in the 6–8 FPS range.

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Sep 19

The project's resolution is limited to 832×464.

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Sep 19

The project currently only supports Linux, and the experience can be started by entering the command lingbot play dragon in the command line.

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Sep 19

Users can upload an image along with a text prompt to begin predicting subsequent frames of the world, and use the keyboard AWSD keys and mouse to move and navigate within the generated world.

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Sep 19

The author estimates that an RTX 4090 can reach approximately 12 FPS, but this has not yet been verified through actual testing.

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