Today’s paper introduces TurboDiffusion, a framework designed to significantly accelerate video generation models. By combining multiple optimization techniques, the method achieves speedups of 100–200 times while preserving the visual quality of the generated videos. Currently, creating high-quality videos with diffusion models is computationally intensive and slow, often taking minutes or even longer for short clips. The goal of this paper is to make this process almost instantaneous without sacrificing the details or smoothness of the final video.