Tencent Opens Hy-Nomas, an Interactive Video World Running on One GPU
Tencent Hunyuan open-sourced Hy-Nomas , an 8B interactive video world model under Apache 2.0. Supports free-form multi-turn text prompts and continuous camera control across autoregressive video segments. Outputs 720p at 24 fps, up to 60 seconds, distilled to eight denoising steps.
Takeaways
- Tencent Hunyuan open-sourced Hy-Nomas , an 8B interactive video world model under Apache 2.0.
- Supports free-form multi-turn text prompts and continuous camera control across autoregressive video segments.
- Outputs 720p at 24 fps, up to 60 seconds, distilled to eight denoising steps.
- Runs on a single RTX 4090 using INT8 weights, INT8 KV cache, and CPU offload.
- Ships with weights, cinematic and robotics LoRAs , Nomas-PE prompt enhancer, and Hy-Nomas-Bench (280 cases).
- Beats competing open world models in human evaluations on text, camera, and spatial memory.
Tencent’s Hunyuan team has released Hy-Nomas , an interactive video world model that accepts new text instructions and camera paths as a scene develops. It generates video in connected segments while preserving objects, visual style, and spatial layout across the session.
The Apache 2.0 release includes inference code, training code, model weights, adaptation tools, and a 280-case benchmark. Tencent also provides an INT8 configuration that fits on one RTX 4090 by combining quantized weights, a reduced-precision decoder, CPU offload, and a sliding attention window.
| Component | Details |
|---|---|
| Backbone | 8-billion-parameter diffusion transformer |
| Output | 1280 × 720 video at 24 frames per second |
| Session length | Up to 60 seconds at 720p |
| Controls | Multi-turn text instructions and camera trajectories |
| Inference | Distilled eight-step denoising process |
| Local hardware | Single RTX 4090 for the memory-optimized INT8 configuration |
| License | Apache 2.0 |
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