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Wan Dancer AI Video Generator
Turn one photo and a song into a beat-synced dance clip with Wan Dancer AI Video Generator. 720p, 30fps, minute-long coherence, open source.
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Why Creators Pick the Wan Dancer AI Video Generator
Developed by Alibaba Tongyi Lab, the Wan Dancer AI Video Generator (Wan-Dancer-14B) reads a photo plus an audio file and returns a complete dance performance. Motion locks to the beat, detail holds together far past the one-minute mark, and no motion-capture rig or studio shoot is required.
- Steps That Follow the BeatEvery move is planned from your audio track, so footwork, turns, and accents land on the actual rhythm instead of drifting.
- One Photo, Same Dancer ThroughoutFaces, hair, and wardrobe stay consistent from the opening frame to the closing pose when you start from a single portrait.
- Stable Past the One-Minute MarkA planning-first pipeline sidesteps the breakdown most diffusion models hit around 20 seconds, so longer routines keep their shape.
Three Steps to a Music-Synced Dance Video
Turn a still photo and a song into a finished dance clip — the whole workflow only takes a few minutes.
What the Wan Dancer AI Video Generator Does Best
An open-weight music-to-dance engine made for long, rhythm-locked solo choreography — five genres, ComfyUI support, and Apache-2.0 licensing.
Beat-Aware Motion Planning
Choreography is derived from the audio waveform itself, so movement responds to real tempo changes instead of repeating a canned loop.
Long-Form Stability
A global-then-local pipeline keeps the body and background steady far beyond the 20-second limit typical of diffusion video — long enough to cover a full chorus.
Identity Held from First to Last Frame
The reference subject's face, hairstyle, and clothing are tracked across the entire routine, so the dancer never morphs mid-clip.
Crisp 720p, 30fps Rendering
Clips come out smooth and high-definition, sized for vertical feeds on TikTok, Reels, and YouTube Shorts.
Trained Across Five Dance Styles
Chinese classical, K-pop, street, tap, and Latin are all covered, letting one reference image suit a wide range of musical moods.
Open Weights You Can Fine-Tune
Model weights ship under Apache-2.0 on Hugging Face and ModelScope, with ComfyUI integration and LoRA training for custom routines.
Questions About the Wan Dancer AI Video Generator
Answers to the questions people ask most about the Wan Dancer AI Video Generator and turning music into dance video.
What exactly is the Wan Dancer AI Video Generator?
It is Alibaba Tongyi Lab's open-source Wan-Dancer-14B model. Give it one portrait and a music file, and it produces a beat-synced dance clip at 720p and 30fps — no motion capture, no studio, no manual keyframing.
How does the generation process actually work?
Two stages run in sequence. A global pass listens to the entire track and sketches the choreography as keyframes, then a local pass refines the motion frame by frame. Planning ahead is what keeps long clips from falling apart.
What do I need to get started?
A single clear portrait — a vertical full-body shot works best — plus an audio file and a short text prompt naming the dance style you want.
How long can the finished video be?
The model is designed for minute-scale output and holds together well past the roughly 20-second point where most diffusion video models start to drift.
Which dance styles are supported?
Five genres were used in training: Chinese classical, K-pop, street, tap, and Latin. You select the style simply by describing it in your prompt.
Is it open source?
Yes. Wan-Dancer-14B is published under Apache-2.0 on Hugging Face and ModelScope, complete with inference code, ComfyUI support, and LoRA fine-tuning for custom choreography.
Turn Your Photo into a Dancer Right Now
Upload a portrait, add a track, and watch the Wan Dancer AI Video Generator build a beat-synced routine in minutes. No editing skills required.