Wan2.1 is an open-source, advanced, large-scale video generation model designed to push the boundaries of video generation technology. Through innovative spatio-temporal variational autoencoders (VAEs), scalable training strategies, large-scale data construction, and automated evaluation metrics, it significantly improves model performance and versatility. Wan2.1 supports multiple tasks, including text-to-video, image-to-video, and video editing, and can generate high-quality video content. The model has demonstrated superior performance in several benchmark tests, even surpassing some closed-source models. Its open-source nature allows researchers and developers to freely use and extend the model, making it suitable for various applications.