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Wan Dancer AI Video Generator
Feed one photo and a song — the Wan Dancer AI Video Generator choreographs a dance that tracks every beat. Try it online and export an HD clip in minutes.
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A Closer Look at the Wan Dancer AI Video Generator
Developed by Alibaba's Tongyi Lab, the 14B-parameter Wan-Dancer-14B model pairs your reference photo with an audio track and animates the person inside it to move in time with the music. No motion capture gear needed — just crisp 720p video that holds together for a full minute.
- Choreography That Follows Your TrackMoves come straight from the soundtrack you supply, so each downbeat lands on a matching step instead of a looping stock animation.
- One Photo, Consistent IdentityFeed in a single portrait and the face, hair, and clothing stay recognizable from the opening frame to the final beat.
- Stable Across Long ClipsWhere many diffusion models fall apart after twenty seconds, this one keeps the body and background stable across an entire minute of footage.
How to Create a Dance Video in Three Simple Steps
Follow three short stages — upload, describe, download — and the Wan Dancer AI Video Generator handles the choreography for you.
Core Capabilities of the Wan Dancer AI Video Generator
Five dance genres, open weights, and ComfyUI support come together in a model designed for long, rhythm-locked, single-subject routines.
Audio-Aware Dance Generation
Choreography is derived from the audio waveform itself, which keeps the motion tied to the real rhythm rather than a generic loop.
Long-Form Temporal Stability
A two-stage global-to-local pipeline keeps structure intact far beyond twenty seconds, long enough to cover a full chorus.
Identity Kept From One Photo
Face, hairstyle, and outfit are tracked throughout the routine, so the performer stays recognizable from start to finish.
HD Output at 30fps
Clips render at 720p and 30 frames per second, sized for TikTok, Reels, and Shorts.
Five Dance Styles
Trained across Chinese classical, K-pop, street, tap, and Latin, so a single reference image can match many musical moods.
Open Source Under Apache-2.0
Weights are published on Hugging Face and ModelScope under Apache-2.0, complete with ComfyUI integration and LoRA fine-tuning 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 how it turns music into movement.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source model from Alibaba's Tongyi Lab, labelled Wan-Dancer-14B. Give it one portrait and one audio file and it produces a dance clip synced to the beat — no motion capture involved.
How does the Wan Dancer AI Video Generator actually work?
Two stages run in sequence. First a global pass reads the whole song and sketches the routine as keyframes; then a local pass polishes the motion frame by frame. Planning ahead is what keeps long sequences stable.
What do I need to get started?
A sharp portrait — vertical and full-body works best — plus an audio file and a brief text prompt naming the style you want.
How long can the generated dance be?
Generation is designed for minute-scale output, and quality holds well past the twenty-second mark where many diffusion 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 one by describing it in your prompt.
Is the Wan Dancer AI Video Generator open source?
It is. Wan-Dancer-14B ships under Apache-2.0 on Hugging Face and ModelScope, including inference code, ComfyUI integration, and LoRA fine-tuning for custom routines.
Start Dancing With the Wan Dancer AI Video Generator
Upload a photo, add your favorite track, and let the Wan Dancer AI Video Generator handle the rest — your first dance clip is only a few clicks away.