Wan 2.2 MoE Architecture Explained
Technical deep dive into the Mixture of Experts architecture that powers Wan 2.2, reducing computation by 50%.
AI Research
Wan AI
Wan 2.2 introduced the groundbreaking Mixture of Experts (MoE) architecture to video generation, dramatically improving efficiency.
The model has a total of 27 billion parameters, but only 14 billion are activated for any given generation. This sparse activation pattern reduces computational requirements by approximately 50% compared to dense models of similar capability.
The architecture uses specialized expert networks, each trained to handle different aspects of video generation - motion, lighting, textures, and more. A gating network learns to route each generation to the most appropriate experts.
This design allows Wan 2.2 to achieve better quality than Wan 2.1 while actually using fewer computational resources, making it more accessible to users with limited hardware.
