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Wan Dancer AI Video Generator
One portrait plus a music track is all it takes — the Wan Dancer AI Video Generator designs a full dance routine in sharp 720p at 30fps.
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How the Wan Dancer AI Video Generator Turns Music into Motion
Built by Alibaba Tongyi Lab as Wan-Dancer-14B, the Wan Dancer AI Video Generator pairs one reference image with an audio track to render a complete dance routine in 720p at 30fps — rhythm-locked and structurally stable well past the one-minute mark, with no motion-capture gear required.
- Beats Decide the MovesEvery step is derived from your audio waveform, so the routine lands on the real rhythm instead of a canned loop.
- One Photo, One IdentityA single portrait is enough — face, hair, and outfit stay consistent from the opening frame to the final one.
- Stable Past One MinuteWhere many diffusion models collapse near the 20-second mark, this pipeline keeps long routines structurally intact.
Your Three-Step Workflow with the Wan Dancer AI Video Generator
From a still photo and a song to a finished beat-aligned clip — the Wan Dancer AI Video Generator handles it in three short stages.
Core Capabilities of the Wan Dancer AI Video Generator
An open-source music-to-dance engine engineered for long, rhythm-locked, single-subject routines — five dance genres, public weights, and ComfyUI integration out of the box.
Choreography Drawn from the Soundtrack
The Wan Dancer AI Video Generator reads the audio waveform directly, so movement tracks the genuine beat instead of replaying a generic loop.
Coherence Beyond Twenty Seconds
A global-to-local two-stage pipeline holds structure far past the point where most models break down — long enough to cover a full chorus.
Identity Kept from a Single Photo
The reference subject's face, hairstyle, and clothing are tracked across the whole dance, so the performer stays recognizable throughout.
Smooth 720p at 30fps
The Wan Dancer AI Video Generator renders at 30 frames per second in high definition, sized for TikTok, Reels, and Shorts without extra conversion.
Five Dance Genres Built In
Trained on Chinese classical, K-pop, street, tap, and Latin, it matches a broad range of musical moods from one reference image.
Open Weights Under Apache-2.0
Weights are published on Hugging Face and ModelScope, with ComfyUI integration and LoRA fine-tuning for fully custom routines.
Wan Dancer AI Video Generator FAQs, Answered
Straight answers on how the Wan Dancer AI Video Generator handles photos, music, timing, and licensing.
What exactly is the Wan Dancer AI Video Generator?
It is Wan-Dancer-14B, an open-source model from Alibaba Tongyi Lab that converts one portrait and a music file into a beat-synced dance clip in 720p at 30fps — with no motion capture involved.
How does the generation process actually work?
Two stages run in sequence: a global pass reads the full track and lays out choreography as keyframes, then a local pass refines motion frame by frame. Planning first is what keeps longer dances coherent.
What do I need before I start?
A single clear portrait — a vertical full-body shot works best — plus a music or audio file and a short text prompt naming the dance style you want.
How long can the resulting clip run?
The model targets minute-scale output and holds together well past the roughly 20-second point where most diffusion approaches start to fall apart.
Which dance styles are supported?
Five genres were used during training — Chinese classical, K-pop, street, tap, and Latin — and you select one simply through your text prompt.
Is it open source, and can I fine-tune it?
Yes. The Wan Dancer AI Video Generator ships under Apache-2.0 on Hugging Face and ModelScope, complete with inference code, ComfyUI integration, and LoRA fine-tuning for custom choreography.
Start Dancing with the Wan Dancer AI Video Generator
Upload a portrait, add your track, and let the Wan Dancer AI Video Generator handle the rest — no editing skills and no motion-capture rig required.