Wan 3.0 Dance Motion Consistency Tested Across 30 Seconds of Traditional and Belly Dance

A zero-edit benchmark of Wan 3.0’s native 1080p, 24 fps, 30-second AI dance videos found strong temporal stability, with an average score of 4.2/5 across solo belly dance and traditional partner dance tests. The solo test scored 4.6/5 for retaining facial identity, finger articulation, pose stability, and veil physics during occlusion and rotation, although minor floor-friction loss and finger softening appeared late in the clip. The partner dance scored 3.8/5, demonstrating reliable recovery of two distinct characters after full occlusion and clean garment separation, but suffering from unprompted camera cuts, lighting pops, and frame flicker. The evaluation used fixed seeds, default motion settings, raw single-shot outputs, and no editing to assess anatomy, physics, and spatial continuity. Results suggest that Wan 3.0 substantially reduces the limb melting, identity drift, and clothing artifacts often associated with long AI video generation, while still showing late-stage sliding during spins and intermittent framing instability. The text recommends detailed prompts, distinct costume and position descriptions for multiple performers, targeted negative prompts for common artifacts, and choosing either native 30-second takes for slower solo performances or shorter 8–12 second clips for rapid choreography and multi-angle edits.

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