In simple English
This tool turns words, pictures, or sounds into moving videos. It uses advanced artificial intelligence to handle complex motion, character animation, and speech-to-video generation. You need powerful computer hardware or a cloud server with a high-end graphics card to run it yourself. The software is free to download under an open-source licence.
What it is
Wan2.2 is an advanced video generation framework featuring Mixture-of-Experts (MoE) diffusion models and high-compression video decoders. It supports text-to-video, image-to-video, text-image-to-video, speech-to-video, and character animation tasks.
What it is good for
Solo builders and researchers who want to generate cinematic video clips, animate characters from reference photos, or create talking-head videos driven by audio without paying for closed cloud services.
- Includes multiple specialised models for text-to-video, image-to-video, speech-to-video, and character animation.
- Uses a Mixture-of-Experts architecture that enlarges model capacity while keeping active compute costs manageable.
- Permits commercial use under the Apache 2.0 licence.
- Requires an expensive server or high-end GPU with large memory, such as an 80GB VRAM card for full models or a 24GB card for the 5B model.
- Setup involves complex Python dependencies, multi-step data preprocessing for animation, and substantial model downloads.
- Running local inference demands significant technical knowledge of PyTorch, FSDP, and distributed computing.
Closed commercial video generation platforms and manual video editing workflows.
ComfyUI or Diffusers for pipeline integration and model orchestration.
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git clone https://github.com/Wan-Video/Wan2.2.git cd Wan2.2 pip install -r requirements.txt