This survey explores the integration of edge intelligence (EI) in animation design, particularly focusing on large models. It provides a comprehensive overview of the current state and future prospects of EI-assisted animation design, highlighting the challenges and opportunities presented by large model implementations. The paper delves into the fundamentals of edge computing and EI, the evolution and trends of large models in animation, and the technical aspects of EI in animation design. It also addresses the integration of EI with large models, discussing the need for efficient data management, real-time rendering, and interactive design. The survey includes case studies that demonstrate successful implementations of EI in animation, emphasizing the potential of EI to revolutionize animation design and production. Finally, it outlines future research directions, emphasizing the importance of enhancing the synergy between EI and animation design, optimizing large model deployment, and addressing the limitations and challenges associated with large models in animation.This survey explores the integration of edge intelligence (EI) in animation design, particularly focusing on large models. It provides a comprehensive overview of the current state and future prospects of EI-assisted animation design, highlighting the challenges and opportunities presented by large model implementations. The paper delves into the fundamentals of edge computing and EI, the evolution and trends of large models in animation, and the technical aspects of EI in animation design. It also addresses the integration of EI with large models, discussing the need for efficient data management, real-time rendering, and interactive design. The survey includes case studies that demonstrate successful implementations of EI in animation, emphasizing the potential of EI to revolutionize animation design and production. Finally, it outlines future research directions, emphasizing the importance of enhancing the synergy between EI and animation design, optimizing large model deployment, and addressing the limitations and challenges associated with large models in animation.