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Wan Dancer AI Video Generator
Make any portrait dance to your favorite track with the Wan Dancer AI Video Generator — free online, 720p at 30fps, open source, no motion capture.
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Meet the Wan Dancer AI Video Generator
Built by Alibaba Tongyi Lab, the Wan Dancer AI Video Generator (Wan-Dancer-14B) pairs one reference photo with an audio track and renders a complete dance routine in 720p at 30fps. Rhythm-locked motion holds together past the one-minute mark — no motion capture gear required.
- Choreography That Listens to Your TrackSteps are planned around the real audio waveform, so accents, drops, and tempo changes all land on the right move.
- One Photo, One Consistent DancerFace, hair, and outfit stay recognizable from the opening frame to the closing one — a single portrait is all it takes.
- Structure That Survives the Minute MarkWhere most diffusion approaches break apart after roughly 20 seconds, this engine keeps the routine stable far past a full minute.
Three Steps with the Wan Dancer AI Video Generator
Go from a still portrait and an audio file to a finished, rhythm-aligned routine — the whole workflow takes only a few minutes.
Core Capabilities of the Wan Dancer AI Video Generator
Open weights, five trained dance genres, and a pipeline engineered for long single-subject routines — here is what the Wan Dancer AI Video Generator brings to your workflow.
Beat-Aware Motion Synthesis
Movement is derived from the audio waveform itself rather than a canned loop, so the routine answers the genuine rhythm of your song.
Stable Across Long Takes
A global-to-local two-stage design keeps body structure intact far beyond the 20-second ceiling — long enough to cover an entire chorus.
Identity Locked from One Portrait
The same face, hairstyle, and clothing carry through the whole performance, so the dancer never drifts into a different person.
Sharp 720p, Smooth 30fps
Exports arrive as high-definition MP4 files at 30 frames per second, framed for TikTok, Reels, and YouTube Shorts.
Five Trained Dance Styles
Chinese classical, K-pop, street, tap, and Latin are all covered, matching a broad range of musical moods from a single reference image.
Open Source Under Apache-2.0
Weights are published on Hugging Face and ModelScope, with ComfyUI integration and LoRA fine-tuning for building custom routines.
Frequently Asked Questions About the Wan Dancer AI Video Generator
Answers to the questions people ask most about the Wan Dancer AI Video Generator — inputs, output length, supported styles, and licensing.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source music-to-dance model from Alibaba Tongyi Lab (Wan-Dancer-14B) that pairs a single portrait with an audio file and produces a beat-aligned dance video in 720p at 30fps — no motion capture equipment involved.
How does the Wan Dancer AI Video Generator actually work?
Generation runs in two stages. A global pass reads the entire song and lays out choreography as keyframes; a local pass then refines the motion frame by frame. Planning first is what keeps longer routines from falling apart.
What do I need before I start?
A clear portrait photo (a vertical full-body shot works best), a music or audio file, and a brief text prompt naming the dance style you want.
How long can the finished dance video be?
The model is designed for minute-scale output and stays coherent well beyond the roughly 20-second point where most diffusion-based approaches begin to degrade.
Which dance styles are supported?
Five genres were used during training — Chinese classical, K-pop, street, tap, and Latin. You select the one you want simply by describing it in your prompt.
Is the Wan Dancer AI Video Generator open source?
Yes. Wan-Dancer-14B ships under the Apache-2.0 license on Hugging Face and ModelScope, complete with inference code, ComfyUI integration, and LoRA fine-tuning for custom choreography.
Put the Wan Dancer AI Video Generator to Work
Upload a portrait, pick a track, and watch a complete routine come together in minutes — free to start and no motion capture required.