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Wan Dancer AI Video Generator
Turn one portrait and any song into a beat-synced dance clip with the Wan Dancer AI Video Generator — 720p, 30fps, free and open source.
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Why Creators Choose the Wan Dancer AI Video Generator
Built by Alibaba Tongyi Lab, Wan-Dancer-14B pairs a single reference photo with an audio file and returns a fully choreographed dance performance. Clips render at 720p and 30fps, with rhythm-locked movement that holds together across a full minute — no motion-capture rig required.
- Choreography Driven by SoundEvery step is derived from the audio track itself, so the routine lands on the real rhythm instead of a canned, looping pattern.
- One Portrait, One DancerFaces, hairstyles, and outfits stay recognizable from the opening frame to the final pose, with no identity drift mid-clip.
- Long Takes That Hold UpWhere most diffusion pipelines collapse after roughly 20 seconds, this model keeps structure intact well past the one-minute mark.
Three Steps to a Beat-Synced Dance Video
Go from a still photo and a song to a finished dance clip in three short stages — no editing timeline, no motion capture.
Core Capabilities of the Wan Dancer AI Video Generator
An open-source music-to-dance model engineered for long, rhythm-locked performances from a single subject — five trained genres, open weights, and ComfyUI-ready.
Audio-First Dance Synthesis
Movement is generated from the waveform itself, which means the routine follows the actual beat rather than repeating a fixed pattern.
Temporal Stability at Scale
A global-to-local two-stage pipeline keeps frame structure steady far beyond the 20-second limit — long enough to cover an entire chorus.
Consistent Subject Identity
The reference performer's face, hair, and clothing are tracked through the whole routine, so the dancer never loses their look.
720p Rendering at 30fps
Clips come out smooth and high-definition at 30 frames per second, sized for TikTok, Reels, and Shorts.
Five Trained Dance Genres
Chinese classical, K-pop, street, tap, and Latin are all covered, letting one reference image match a wide range of musical moods.
Open Weights Under Apache-2.0
Available on Hugging Face and ModelScope with inference code, ComfyUI integration, and LoRA fine-tuning for custom routines.
Wan Dancer AI Video Generator: Frequently Asked Questions
Answers to the most common questions about how this music-to-dance model works, what it needs, and what kind of clips it can produce.
What exactly is the Wan Dancer AI Video Generator?
It is Wan-Dancer-14B, an open-source model from Alibaba Tongyi Lab. Feed it one portrait and a music file, and it returns a dance video synced to the beat at 720p and 30fps — with no motion capture involved.
How does the model turn music into movement?
Two stages handle the job: a global pass reads the whole track and lays out choreography as keyframes, then a local pass polishes the motion frame by frame. Planning first is what keeps longer dances from falling apart.
What do I need before generating?
A clear portrait photo (a vertical full-body shot works best), an audio or music file, and a short text prompt naming the dance style you have in mind.
How long can the finished video be?
It is designed for minute-scale output and stays coherent well past the roughly 20-second point where most diffusion models start to break down.
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, including inference code, ComfyUI integration, and LoRA fine-tuning support.
Start Dancing With the Wan Dancer AI Video Generator
Bring your portraits to life with beat-synced choreography — no editing skills, no motion capture, no cost. Your first clip takes only minutes.