We introduce StreamForce, a streaming video generation framework that enables physically grounded control through continuous force inputs. Unlike prior video models that train separate models for different force types, assume fixed forces, or rely on non-causal processing, StreamForce is a causal and unified model that responds instantly and coherently to both local and global, time-varying forces. To achieve this, we design a unified force representation as a control signal and develop a distillation pipeline for force-controllable video generation. Our model combines autoregressive efficiency with force responsiveness, sustaining stable photometric and dynamic realism. StreamForce runs at up to 16.6 FPS on a single GPU, achieving state-of-the-art performance in both force adherence and motion realism. Project website: https://neu-vi.github.io/StreamForce/

翻译：我们提出了StreamForce，一种基于物理力输入实现连续控制的流式视频生成框架。与以往需要为不同力类型训练独立模型、假设固定力或依赖非因果处理的视频模型不同，StreamForce是一种因果统一模型，能即时、连贯地响应局部和全局时变力。为实现这一目标，我们设计了一种统一的力表示作为控制信号，并开发了用于力可控视频生成的蒸馏流水线。我们的模型结合了自回归效率与力响应能力，保持了稳定的光度与动态真实性。StreamForce在单张GPU上运行速度可达16.6 FPS，在力遵循度与运动真实性方面均达到最先进水平。项目网站：https://neu-vi.github.io/StreamForce/