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Wan Dancer AI Video Generator
Animate any portrait to your favorite track with the Wan Dancer AI Video Generator — crisp 720p at 30fps, and the motion holds up for a full minute.
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What Sets the Wan Dancer AI Video Generator Apart
Built by Alibaba Tongyi Lab, this 14B-parameter model reads a portrait and an audio file, then renders a complete dance routine in 720p at 30fps. Its two-stage planner keeps the movement on beat and structurally stable for well over a minute — no mocap suit and no manual keyframing required.
- Choreography Straight From the AudioEvery step is planned from the soundtrack itself, so accents, drops, and tempo shifts land on the right move instead of a looping preset.
- One Photo, Same Face ThroughoutFacial features, hair, and outfit stay consistent from the opening frame to the closing pose, even through spins and fast footwork.
- Stable Past the 20-Second WallWhere many diffusion systems drift apart, this pipeline holds body structure and framing together across a full minute of continuous motion.
Three Steps to a Finished Dance Video
Give the Wan Dancer AI Video Generator a portrait and a track, name the style you want, and download the result — the whole workflow takes only a few minutes.
What the Wan Dancer AI Video Generator Can Do
Open weights, five trained genres, and a two-stage planner built for single-subject routines that stay on beat from the first bar to the last — here is what the Wan Dancer AI Video Generator brings to your workflow.
Beat Detection Built In
Motion is derived from the audio waveform itself, so the animation follows the real rhythm of your track rather than a canned loop.
Long-Range Temporal Stability
A global planning pass followed by local refinement keeps the skeleton and framing steady far beyond the 20-second limit typical of diffusion models.
Consistent Subject Identity
The reference person's face, hairstyle, and clothing are tracked across the entire clip, so the dancer never morphs into someone else mid-song.
HD Output at 30fps
Clips render at 720p and 30 frames per second, matching the vertical formats that TikTok, Reels, and Shorts favour most.
Five Trained Dance Styles
Chinese classical, K-pop, street, tap, and Latin are all covered, so one portrait can carry very different musical moods and tempos.
Open Source and Extensible
Weights are published under Apache-2.0 on Hugging Face and ModelScope, with ComfyUI nodes and LoRA fine-tuning for building your own routines.
Frequently Asked Questions About the Wan Dancer AI Video Generator
Answers to the questions people ask most about the Wan Dancer AI Video Generator — required inputs, output length, supported dance styles, and licensing.
What exactly is the Wan Dancer AI Video Generator?
It is Alibaba Tongyi Lab's open-source Wan-Dancer-14B model, which turns one portrait plus an audio file into a dance performance rendered at 720p and 30fps — no motion capture hardware involved.
How does it keep long dances from falling apart?
Generation happens in two passes: a global pass reads the whole song and sketches keyframes for the routine, then a local pass fills in frame-by-frame detail. Planning first is what prevents drift.
What should I prepare before generating?
A clear portrait, ideally a vertical full-body shot, plus an audio file and a short prompt describing the dance style you want the routine to follow.
How long can the finished video be?
Output is designed for minute-scale clips and stays coherent well past the 20-second mark where most diffusion-based systems begin to break down.
Which dance genres are supported?
Five: Chinese classical, K-pop, street, tap, and Latin. You select the genre through your text prompt rather than from a fixed dropdown menu.
Can I use it commercially?
Yes. Wan-Dancer-14B ships under Apache-2.0 on Hugging Face and ModelScope, including inference code, ComfyUI integration, and LoRA fine-tuning support.
Your Photo, Your Song, One Tap to Dance
Upload a portrait, pick a track, and let the Wan Dancer AI Video Generator turn it into a shareable dance clip in just a few minutes.