Wan 2.2 AI-

What it does

Wan2.2 is the world's first open-source MoE (Mixture-of-Experts) video generation model developed by Alibaba Tongyi Lab. It enables users to create professional cinematic videos from text (text-to-video) or images (image-to-video) at 720P resolution with 24fps. Key features include advanced motion understanding, stable video synthesis, and fine-grained cinematic control over lighting, color, and composition. It is fully open-source with complete model weights, optimized for performance, and can run efficiently on consumer-grade GPUs.

How to use: Users can get started with Wan2.2 by downloading the models from GitHub, trying the online demo, or accessing ready-to-use deployments on Hugging Face. The model allows users to input text or images to generate high-quality cinematic videos.

Core features

• ✦Open-source MoE video generation model
• ✦Text-to-video (T2V) and Image-to-video (I2V) capabilities
• ✦720P resolution at 24fps output
• ✦Cinematic control (lighting, color, composition)
• ✦Advanced motion understanding and stable video synthesis
• ✦Optimized for consumer-grade GPUs

Use cases

• →Creating professional cinematic videos from text or images
• →Bringing static images to life with dynamic sequences
• →Transforming ideas into cinematic masterpieces for filmmakers and content creators
• →Integrating into production pipelines for pre-visualization
• →Accelerating research in video diffusion models
• →Generating AI-powered video demos