Wan 2.2 AI: Open-Source MoE Video Generation with Cinematic Control

[baoshi.rao]

Introduction

Wan 2.2 AI is the world's first open-source MoE (Mixture-of-Experts) video generation model developed by Alibaba Tongyi Lab. It allows users to create professional cinematic videos from text (text-to-video) or images (image-to-video) at 720P resolution with 24fps. Visit the official website to learn more.

What is Wan 2.2 AI?

Wan 2.2 AI is an advanced video generation model that offers:

• Open-source MoE architecture: Complete model weights available for public use.
• Text-to-video (T2V) and image-to-video (I2V) capabilities: Transform static inputs into dynamic videos.
• Cinematic control: Fine-grained adjustments for lighting, color, and composition.
• Optimized performance: Runs efficiently on consumer-grade GPUs.

How to Use Wan 2.2 AI

Users can:

1. Download the models from GitHub.
2. Try the online demo.
3. Access ready-to-use deployments on Hugging Face.

Core Features

• Open-source MoE video generation model
• 720P resolution at 24fps output
• Advanced motion understanding and stable video synthesis
• Cinematic control (lighting, color, composition)
• Optimized for consumer-grade GPUs

Use Cases

1. Creating professional cinematic videos from text or images.
2. Bringing static images to life with dynamic sequences.
3. Transforming ideas into cinematic masterpieces for filmmakers and content creators.
4. Integrating into production pipelines for pre-visualization.
5. Accelerating research in video diffusion models.

FAQ

• How is Wan 2.2 different from other video AI models?
• What video quality does Wan 2.2 support?
• Can I run Wan 2.2 on consumer hardware?
• What is the MoE architecture in Wan 2.2?
• Is Wan 2.2 completely free to use?
• How do I get started with Wan 2.2?

For more information, visit the official website.