UniAnimate is a research project implementing a video diffusion model for animating human images from a reference photo, producing consistent motion sequences such as dances. The model uses unified diffusion architecture to handle temporal consistency across video frames. The released code includes training and inference implementations for the SCIS-2025 paper.