Magic 1-For-1 focuses on efficient video generation, with its core feature being the rapid conversion of text and images into video. The model optimizes memory usage and reduces inference latency by breaking the text-to-video generation task into two sub-tasks: text-to-image and image-to-video. Key advantages include efficiency, low latency, and scalability. Developed by the DA-Group team at Peking University, the model aims to advance the interactive foundational video generation field. The model and related code are open-source and available for free use, subject to compliance with the open-source license agreement.