DiffusionDrive is a truncated diffusion model designed for real-time end-to-end autonomous driving. It accelerates computation speed by reducing diffusion denoising steps while maintaining high accuracy and variability. The model learns directly from human demonstrations, enabling real-time driving decisions without complex preprocessing or postprocessing steps. DiffusionDrive achieved a groundbreaking result of 88.1 PDMS on the NAVSIM benchmark and can operate at 45 FPS.