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Tencent Hunyuan releases Hy-Nomas for interactive video world generation

AIModelScope announces Hy-Nomas, a model that generates interactive video worlds from text and camera trajectories. The distilled setting generates each segment in 8 denoising steps at 720 × 1280 and 24 FPS. A low-memory configuration uses quantized weights and CPU offload to run on a single GPU, and the model is released under Apache 2.0.
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Hy-Nomas has landed. Create an interactive video world and guide its evolution with text and camera control.
🤖 https://modelscope.ai/models/Tencent-Hunyuan/Hy-Nomas

⚡ 8-step video generation: The distilled configuration generates each segment in 8 denoising steps, with 720 × 1280 output at 24 FPS.
🖥️ Single-GPU inference: A low-memory configuration uses quantized weights and CPU offload to run video inference on one GPU.
🌍 Shape the world as it unfolds: Use multi-turn prompts to introduce objects, change scenes and styles, or describe new actions.
🎥 Control the camera: Guide viewpoint and movement with camera trajectories alongside text instructions.
🧠 Carry context forward: A KV cache retains context from earlier segments as generation continues.
📊 Evaluate interactive worlds: Hy-Nomas-Bench includes 280 cases covering text interaction, camera navigation, combined control, and spatial memory.
🛠️ Adapt and explore: Supports LoRA fine-tuning and offers a web demo for interactive generation.
📜 Apache 2.0. Third-party components are subject to their own licenses.

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Original title: Hy-Nomas has landed. Create an interactive video world and guide its evolution with text and camera control.