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Wan Dancer AI Video Generator
Turn one photo plus any song into a beat-matched dance clip with the Wan Dancer AI Video Generator — sharp 720p, 30fps, no motion capture.
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Meet the Wan Dancer AI Video Generator: Photo Plus Music, Perfectly in Step
Built by Alibaba Tongyi Lab, this open-source model (Wan-Dancer-14B) studies the track you choose alongside a single still image, then synthesizes a complete dance performance — crisp 720p footage at 30 frames per second that holds together for more than a minute, with no motion-capture gear involved.
- Choreography That Follows Your BeatMoves are generated from the audio itself, so each step lands on the rhythm of your song instead of repeating a canned loop.
- One Photo, One Consistent DancerFaces, hairstyles and outfits stay locked to your reference portrait from the opening frame all the way to the final pose.
- Stable Beyond a Full MinuteWhere many diffusion systems fall apart after 20 seconds, this one keeps body structure and motion intact across an entire minute.
How the Wan Dancer AI Video Generator Turns Photos Into Dance
Bring one picture and one audio file together and let the Wan Dancer AI Video Generator handle the choreography — three quick steps, start to finish.
Inside the Wan Dancer AI Video Generator: Six Standout Features
Open weights, five trained dance styles and a two-stage pipeline engineered for long, rhythm-accurate solo performances — here is what separates this music-to-dance engine from ordinary animation tools.
Beat-Synced Motion Synthesis
Choreography is derived from the audio waveform itself, so the performer moves with the genuine rhythm of your track rather than a fixed template.
Long-Sequence Stability
A global-then-local pipeline keeps limbs and posture consistent well past the 20-second limit — long enough to cover an entire chorus without drift.
Consistent Subject Identity
The same face, hair and clothing carry through the whole routine, so the person in your reference image stays recognizable in every frame.
Crisp 720p, 30fps Rendering
Fluid high-definition clips are exported at 30 frames per second, sized for TikTok, Reels and YouTube Shorts.
Five Trained Dance Genres
Chinese classical, K-pop, street, tap and Latin are all covered, spanning a wide spread of musical moods from a single reference image.
Open Source Under Apache-2.0
Weights are published on Hugging Face and ModelScope, with ComfyUI nodes and LoRA fine-tuning available for building custom routines.
Frequently Asked Questions About the Wan Dancer AI Video Generator
Answers to the most common questions about the Wan Dancer AI Video Generator, from required inputs to output length and licensing.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source model from Alibaba Tongyi Lab (Wan-Dancer-14B) that animates a still portrait to music, producing 720p footage at 30 frames per second without any motion-capture equipment.
How does the dance generation process work?
Two stages run in sequence: a global pass studies the entire track and lays out keyframe choreography, then a local pass smooths the motion frame by frame. Planning first is what keeps longer routines stable.
What inputs do I need to get started?
A single clear portrait (a vertical full-body shot works best), an audio or music file, and a short text prompt describing the dance style you want.
How long can the generated video be?
The model is designed for minute-scale output and keeps its structure well beyond the 20-second point where most diffusion systems begin to degrade.
Which dance styles are supported?
Five genres were used in training — Chinese classical, K-pop, street, tap and Latin — and you select one simply by describing it in your prompt.
Is the model open source?
Yes. Wan-Dancer-14B ships under Apache-2.0 on Hugging Face and ModelScope, complete with inference code, ComfyUI integration and LoRA fine-tuning for custom choreography.
Put Your Photo in Motion With the Wan Dancer AI Video Generator
Upload a portrait, add a song and let the Wan Dancer AI Video Generator produce a beat-matched dance clip in minutes — no editing skills required.