GauHuman is a 3D human model based on Gaussian diffusion. It can complete training in a short time (1-2 minutes) and provide real-time rendering (up to 189 FPS). Compared with existing NeRF-based implicit representation modeling frameworks, which require hours of training and seconds to render each frame, GauHuman offers significant advantages in efficiency. GauHuman encodes Gaussian diffusion in the normal space and utilizes Linear Blend Skinning (LBS) to convert the 3D Gaussian from normal space to pose space. In this process, an effective pose and LBS refinement module is designed to learn the details of the 3D human body at a negligible computational cost. Furthermore, GauHuman achieves fast optimization through 3D human body prior initialization and pruning of 3D Gaussian, as well as split/clone operations guided by KL divergence, and a novel merging operation for further acceleration.