TencentHy world models

Hy-Nomas

Hy-Nomas generates a world through consecutive video segments. Text instructions and camera controls can change objects, actions, scenes and visual style while generation continues.

Model design and access

A segment-wise diffusion transformer uses a persistent attention cache and a PixelUMM video decoder. A separate RTX 4090 configuration uses quantization and CPU offloading. It bounds active GPU history while retaining a CPU archive; total memory can still grow.Hy-Nomas official model documentation

Practical use

Practical guidance. Treat the result as generated video rather than a guaranteed geometric simulation. Check whether objects and room layouts remain consistent when returning to a previous viewpoint. Output frame rate is not the same as generation speed.

Specifications & access

Hy-Nomas specifications
DetailValue and conditions
AccessDownloadable
LicenseApache 2.0; third-party components retain their licensesHy-Nomas official model documentation
Reference output720 × 1280 at 24 frames per secondHy-Nomas official model documentation
Distilled sampling8 denoising stepsHy-Nomas official model documentation

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