Technical Breakthroughs in MoE Architecture
The Wan 2.2 model adopts the MoE architecture as its core technology innovation, which achieves both higher-quality generation results and more efficient computational resource utilization than a traditional single model by decomposing complex tasks into multiple specialized sub-models. In the field of video generation, this architecture can parallelize different dimensions of tasks such as frame composition, motion prediction, style rendering, etc., so that the generated 720P resolution video can reach the commercial-grade quality standard of 24fps.
- Computational efficiency improvement: MoE architecture realizes conditional computation, dynamically activating relevant expert modules based on input features
- Quality Advantage: Targeted training with specialized submodels improves detailing, especially in facial expression and natural movement generation
- Hardware Adaptability: The optimized architecture even runs smoothly on consumer graphics cards such as the NVIDIA 4090.
This answer comes from the articleWan: a tool for video and image generation based on the Wan family of modelsThe
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