SeedVR is an innovative diffusion transformer model specifically created for addressing real-world video restoration tasks. Its unique shifted window attention mechanism allows it to efficiently process video sequences of arbitrary length and resolution. The design of SeedVR has significantly enhanced both its generative capabilities and sampling efficiency, outperforming traditional diffusion models in both synthesis and real-world benchmarks. Moreover, SeedVR incorporates modern practices such as causal video autoencoders, mixed image and video training, and progressive training, further enhancing its competitiveness in the field of video restoration. As a cutting-edge video restoration technology, SeedVR provides video content creators and post-production professionals with a powerful tool that can significantly improve video quality, especially when working with low-quality or damaged video materials.