Tencent Hunyuan has presented a technical report on Hy-Nomas, its open model for interactive world generation, and released Hy-Nomas-Bench—a test suite for evaluating interactive world video models. The report was posted on arXiv on October 27, following the initial release of the code and weights on October 21.
Hy-Nomas is a world video model based on an 8-billion parameter diffusion core. Users can control it over multiple iterations using free-form text prompts, continuous camera control, or a combination of both methods. The model generates the world segment by segment, ensuring scene consistency over time by conditioning each new segment on the current input and saved history.
According to the report, the key concept involves aligning structured video captions with causal attention that accounts for actions. Descriptive context remains available between segments, while action-related instructions are applied only to the corresponding time window. A vision-and-language-based prompt enhancer transforms user queries and interaction history into structured conditions for the next segment.
The training process follows a multi-stage curriculum. It begins with causal generation, then moves to text interaction and camera control, after which the model trains on histories it generated itself, concluding with a diffusion distillation step. The distilled model requires only four to eight denoising steps. In human evaluations, the team noted that Hy-Nomas surpassed existing world models.
Hy-Nomas-Bench includes 280 test scenarios covering four tasks: multi-turn free-form text interaction, camera navigation, alternating text and camera control, and spatial memory. This suite tests the model's ability to follow sequential instructions, generate physically plausible responses, accurately execute camera movements, and maintain scene consistency when the camera returns to a previously visited location. The kit includes prompts, structured captions, interaction sequences, and reference camera trajectories, and is released under the Apache 2.0 license.
The model itself is also distributed under the Apache 2.0 license. Tencent provides an INT8 configuration that runs on a single RTX 4090 using a sliding window history and CPU offloading, as well as a Diffusers pipeline, LoRA fine-tuning code, and an interactive web demo. Among the released adapters are a cinematic LoRA and a robotics LoRA trained on real data from a two-armed robot.
Developers outside the ecosystem have already integrated support into SGLang, ComfyUI, and WanGP, and one community demo project reported generating 720p in real-time on Google TPUs.
