Open-Sora-Plan is a text-to-video generation model developed by the Peking University Tuple Team. It was first released in April 2024 with its v1.0.0 version, gaining widespread recognition in the text-to-video generation field due to its simple and efficient design and significant performance. The v1.1.0 version has made significant improvements to video generation quality and duration, including optimized compression of visual representations, higher generation quality, and extended video generation capabilities. The model employs an optimized CausalVideoVAE architecture, which offers greater performance and higher inference efficiency. Additionally, it maintains the minimalist design and data efficiency of v1.0.0, and performs similarly to the Sora base model, indicating a consistent evolution pattern with the expansion principles demonstrated by Sora.