Pyramid Flow implements a pyramidal approach to flow matching for training-efficient video generation. The method trains only on open-source datasets and uses a DiT (Diffusion Transformer) backbone. It supports both text-to-video and image-to-video generation with natural motion stability, releasing checkpoints and training code for the community.