Wan | v2.2 A14B | Image to Video - AI Model

This advanced image-to-video system transforms static images into dynamic short videos with natural motion, smooth transitions, and strong temporal consistency. Built on a high-capacity diffusion architecture, it blends broad scene planning with fine detail refinement to produce visually sharp, cinematic results. The model supports both image-based and prompt-guided motion, allowing creators to influence camera movement and scene dynamics while maintaining stable visual quality. Ideal for concept art animation, social media content, educational visuals, and creative storytelling, it delivers fluid motion and rich detail—even in complex scenes. Its open-source design also makes it a flexible option for research and custom pipelines.

Output Example

Used Prompt

A cinematic video of a basketball player preparing to shoot. The camera view is steady and locked. The player lifts the ball smoothly with natural arm motion, while his head and face remain stable, consistent, and lifelike. Subtle body shifts and ball movement show dynamic energy, but facial details stay sharp and unchanged. Bright daylight and soft shadows enhance realism without distracting from the action.