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Wan Dancer AI Video Generator
Turn one portrait and any song into a beat-matched dance clip. Wan Dancer AI Video Generator renders 720p at 30fps, free to try online.
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What Makes Wan Dancer AI Video Generator Stand Out
Wan-Dancer-14B comes from Alibaba Tongyi Lab and needs only two inputs: a reference photo and an audio track. It renders a fully choreographed routine in 720p at 30fps, with motion locked to the beat and stable well beyond the one-minute mark — no motion-capture rig required.
- Choreography Straight From Your AudioEvery step is planned from the soundtrack itself, so the beat and the movement land together instead of drifting apart.
- Identity Kept From One PhotoA single portrait is enough to hold the face, hair, and outfit recognizable from the opening frame through to the very last.
- Stable Past the Minute MarkWhere many diffusion models collapse after about 20 seconds, this pipeline keeps its structure intact for a full minute and more.
Three Steps to a Music-Synced Dance Video
Go from a still photo and a music file to a finished dance clip in three quick stages with the Wan Dancer AI Video Generator.
What the Wan Dancer AI Video Generator Can Do
An open-source music-to-dance model engineered for long, rhythm-locked, single-subject routines — five dance genres, open weights, and ComfyUI support included.
Beats That Drive the Moves
Choreography is derived straight from the audio waveform, so the motion follows the real beat rather than repeating a generic loop.
Structure That Survives Long Clips
A global-to-local two-stage pipeline keeps the dance structurally stable well past the 20-second mark — long enough to cover an entire chorus.
One Photo, One Consistent Dancer
The reference person's face, hairstyle, and clothing are tracked across the whole routine, so the dancer never changes identity mid-clip.
Crisp 720p at 30fps
Clips render in smooth high definition at 30 frames per second, framed and sized for TikTok, Reels, and Shorts.
Five Dance Styles to Pick From
Trained on Chinese classical, K-pop, street, tap, and Latin, it matches a wide range of musical moods from a single reference image.
Open Weights Under Apache-2.0
Available on Hugging Face and ModelScope with ComfyUI integration and LoRA fine-tuning, so custom routines are within reach.
Questions About the Wan Dancer AI Video Generator
Quick answers covering how the Wan Dancer AI Video Generator works, how long its clips run, which styles it knows, and how it is licensed.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source model from Alibaba Tongyi Lab, known as Wan-Dancer-14B, that turns one portrait photo plus a music file into a beat-synced dance video at 720p and 30fps — with no motion capture involved.
How does it turn music into dance?
A two-stage pipeline does the work: the global stage reads the whole track and lays out choreography as keyframes, then the local stage polishes the motion frame by frame. Planning first is what keeps long dances coherent.
What do I need to get started?
A single clear portrait (a vertical full-body shot works best), an audio file, and a brief text prompt naming the dance style you want.
How long can the finished dance video be?
Generation is designed for minute-scale clips, and the output stays coherent well past the roughly 20-second point where most diffusion models break down.
Which dance styles are supported?
Five genres were used in training — Chinese classical, K-pop, street, tap, and Latin — and you select the one you want through your text prompt.
Is it 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.
Your Photo, Your Song, Your Dance Video
Upload a portrait and a track, then let the Wan Dancer AI Video Generator choreograph a beat-synced dance video in minutes — free to try.