MOFA-Video is a research project from the University of Tokyo and Tencent AI Lab that enables controllable image animation using a frozen image-to-video diffusion model. The model learns motion field adaptions through dedicated MOFA blocks trained on video datasets. It supports multiple control modes including trajectory-based and keypoint-based animation, with training and inference code released publicly on HuggingFace.