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Wan Dancer AI Video Generator
Create a beat-matched dance video from one photo and any song with the Wan Dancer AI Video Generator. 720p, 30fps, free online, no motion capture.
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How the Wan Dancer AI Video Generator Turns Songs into Dance
Built by Alibaba Tongyi Lab, the Wan Dancer AI Video Generator (Wan-Dancer-14B) pairs one reference portrait with an audio track and produces a complete dance performance — 720p at 30fps, beat-locked movement, and stable motion that lasts far beyond a minute, with no motion capture involved.
- Choreography That Follows Your MusicEvery step is planned from the soundtrack itself, letting the Wan Dancer AI Video Generator land each move right on the beat.
- Identity Kept From One PhotoYour subject's face, hairstyle and clothing stay consistent throughout, because the Wan Dancer AI Video Generator needs only a single reference image.
- Stable Motion at Minute ScaleWhere many diffusion models lose structure after about 20 seconds, the Wan Dancer AI Video Generator keeps the dance readable for a full minute and beyond.
Creating a Dance Video With the Wan Dancer AI Video Generator
Three quick stages take you from a still photo and a song to a finished dance video, all handled by the Wan Dancer AI Video Generator.
Core Capabilities of the Wan Dancer AI Video Generator
An Apache-2.0 music-to-dance model designed around long-form, beat-locked, single-subject performance — five genres, public weights, and ComfyUI support.
Dance Built From the Audio Waveform
Movement is generated from the rhythm of your track itself, which means the Wan Dancer AI Video Generator follows the real beat rather than repeating a stock loop.
Coherence That Lasts a Minute
A global-then-local pipeline keeps body structure intact far beyond 20 seconds, so the Wan Dancer AI Video Generator can carry a full chorus without falling apart.
One Photo, Consistent Identity
Face, hair and outfit from your reference shot are tracked through every frame, so the performer stays recognizable for the entire clip.
Smooth 720p, 30fps Rendering
Output is delivered in crisp 720p at 30 frames per second, sized for TikTok, Reels and Shorts right out of the box.
Five Supported Dance Genres
Chinese classical, K-pop, street, tap and Latin are all covered, letting the Wan Dancer AI Video Generator suit very different musical moods from a single image.
Open Weights Under Apache-2.0
Weights are published under Apache-2.0 on Hugging Face and ModelScope, complete with ComfyUI integration and LoRA fine-tuning for bespoke routines.
Wan Dancer AI Video Generator: Common Questions
Answers to the questions people ask most about the Wan Dancer AI Video Generator and how it turns music into dance.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source model from Alibaba Tongyi Lab, published as Wan-Dancer-14B, that turns one portrait plus a music file into a dance video in 720p at 30fps — and it never needs motion capture.
How does it generate the dance?
Generation runs in two stages. A global pass listens to the whole track and sketches choreography as keyframes, then a local pass polishes the motion frame by frame. Planning first is what keeps longer dances stable.
What do I need to get started?
A single clear portrait — a vertical full-body shot gives the best result — plus an audio file and a short prompt naming the dance style you want.
How long can the finished dance be?
The model is designed for minute-scale output and holds together well past the roughly 20-second point where many diffusion systems start to drift.
Which dance styles are supported?
Five genres were used in training: Chinese classical, K-pop, street, tap and Latin. You simply describe the style you want in your prompt.
Is it open source?
Yes. Wan-Dancer-14B ships under Apache-2.0 on both Hugging Face and ModelScope, including inference code, ComfyUI integration and LoRA fine-tuning for custom routines.
Start Dancing With the Wan Dancer AI Video Generator
Upload a portrait, add your favourite track, and let the Wan Dancer AI Video Generator deliver a beat-matched dance clip in minutes.