# Hy-Nomas

Hy-Nomas generates a world one video segment at a time and takes free-form direction between segments: add objects, change the style or scene, describe actions or move the camera. A persistent cache keeps the world consistent across turns, and the weights are Apache-2.0.

Organization: Tencent Hunyuan. Released: 21 October 2026. Kind: Explorable world.

## What you control

- Free-form text instructions for each segment
- Camera trajectories
- Multi-turn changes: new objects, styles, scenes or actions

## License

Weights: Available (https://huggingface.co/tencent/Hy-Nomas). Declared license: Apache-2.0.
The weights' model card declares Apache-2.0, a permissive license that allows commercial use. Check what the model was built on, because a base model's terms can still apply.

## Real-time

No real-time claim. Outputs 720×1280 at 24 fps from an 8-step distilled model.

## How to run it

1. Use the pre-packaged Docker image the README recommends, or install manually with uv sync --extra all.
2. Download tencent/Hy-Nomas from Hugging Face.
3. Run bash scripts/inference/inference_from_config.sh with configs/experiment/inference.yaml; a low-memory config is also provided.
4. Or load tencent/Hy-Nomas-Diffusers with HyNomasModularPipeline from the Diffusers branch the README links.

## Where to try

- [Official demo](https://hy-nomas.hy.tencent.com/)

## Sources

- [Project source](https://github.com/Tencent-Hunyuan/Hy-Nomas)
- [Weights and model card](https://huggingface.co/tencent/Hy-Nomas)

## Questions

### Is Hy-Nomas open source?

Hy-Nomas publishes downloadable weights under Apache-2.0. The declared license is permissive.

### Can I use Hy-Nomas commercially?

The weights' model card declares Apache-2.0, a permissive license that allows commercial use. Check what the model was built on, because a base model's terms can still apply.

### Does Hy-Nomas run in real time?

Outputs 720×1280 at 24 fps from an 8-step distilled model.

### Where can I try Hy-Nomas?

You can try it on the official demo.

### What does Hy-Nomas take as input?

You give it free-form text instructions for each segment; camera trajectories; and multi-turn changes: new objects, styles, scenes or actions.

### How do I run Hy-Nomas?

Following the official instructions: Use the pre-packaged Docker image the README recommends, or install manually with uv sync --extra all. Download tencent/Hy-Nomas from Hugging Face. Run bash scripts/inference/inference_from_config.sh with configs/experiment/inference.yaml; a low-memory config is also provided. Or load tencent/Hy-Nomas-Diffusers with HyNomasModularPipeline from the Diffusers branch the README links.

### What are alternatives to Hy-Nomas?

Similar models in this directory include ABot-World (open weights, permissive license), AlayaWorld (open weights, custom terms) and DreamX-World (open weights, permissive license).

Checked 2026-10-23. Corrections: https://github.com/windflow-labs/world-model-directory