Wan 2.2 is an open-source MoE video generation model. It supports two core creation paths: building scenes from creative prompts, or animating a static photograph while preserving the original composition and atmosphere. It prioritizes stable motion and visual coherence for creative storytelling.

What is the best way to use Wan 2.2’s image-to-video function?

Keep movements subtle and local. Describe gentle shifts, flowing fabric or slow camera movement, and clearly ask to retain original lighting, subject shape and framing. Avoid requesting full-scene transformation, which may break the original photo’s identity.

Why do fast sword fights and intense action often cause character distortion?

Wan 2.2 works best with controlled, physically consistent movement. Rapid multi-character combat raises the risk of limb deformation. You can improve results by reducing action intensity, adding motion blur in prompts, limiting main subjects per clip and splitting long sequences into shorter segments.

Can Wan 2.2 generate continuous long videos directly?

Native clips have a fixed short duration. To build longer stories, generate a series of coherent short clips and edit them together. Keep lighting, colour tone and core prompt direction consistent across segments to reduce jumps.

Wan 2.2 AI Video Generator

Bring Your Ideas to Life with Wan 2.2

Wan 2.2 is an open-source AI video generation model for creators. Generate fluid motion scenes from text or reference images, delivering coherent visual outputs for creative exploration and storyboarding.

Image to Video

Image to Image

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