Wan2.1-T2V-14B is an advanced text-to-video generation model based on a diffusion transformer architecture, incorporating innovative spatiotemporal variational autoencoders (VAEs) and large-scale data training. It generates high-quality video content at various resolutions, supports both Chinese and English text input, and surpasses existing open-source and commercial models in performance and efficiency. This model is suitable for scenarios requiring efficient video generation, such as content creation, advertising production, and video editing. Currently, this model is freely available on the Hugging Face platform to promote the development and application of video generation technology.