Overview
Wan2.2 is an open-source suite of large-scale video generative models that covers text-to-video (T2V), image-to-video (I2V), text-image-to-video (TI2V) and speech-to-video (S2V) tasks. It introduces a Mixture-of-Experts (MoE) architecture and a high-compression VAE to enable efficient 720P video generation, and releases inference code and model weights to facilitate research and deployment on ModelScope, Hugging Face, or self-hosted environments.
Key Features
- Multi-modal support: T2V, I2V, TI2V, S2V.
- MoE architecture for increased capacity with controllable inference cost.
- Range of model sizes and a high-compression Wan2.2-VAE for practical 720P generation.
- Broad ecosystem integrations and demos (Hugging Face, ModelScope, ComfyUI).
Use Cases
- Cinematic short video prototyping and content creation.
- Automated animation and character replacement workflows.
- Research and education for model scaling, optimization, and training techniques.
Technical Highlights
- Architecture: MoE combined with high-compression VAE for quality-speed tradeoffs.
- Data: Large-scale multi-modal datasets with curated aesthetic labels to improve visual fidelity.
- Deployment: Examples for single-GPU and distributed inference (FSDP, DeepSpeed, offload) with performance benchmarks.