Pyramid Flow is an advanced video generation modeling technique based on flow matching. It leverages autoregressive video generation models to achieve its results. The main advantages include high training efficiency, allowing high-quality video content to be generated with relatively low GPU hours on open-source datasets. Pyramid Flow is developed through collaborative efforts from Peking University, Kuaishou Technology, and Beijing University of Posts and Telecommunications, with relevant papers, code, and models published across various platforms.