video0
video1
video2
video3
video4
Feedback
AI Ad Video Example
Loading...
Wan Dancer AI Video Generator
Turn one portrait photo and any music track into a dance video perfectly matched to the beat. This open-source AI tool from Alibaba Tongyi Lab produces smooth 720p footage at 30fps, stays coherent for over a minute, and is available under Apache-2.0.
All Tools
Discover our comprehensive AI-powered animation toolkit

Seedance2.0
The Future of AI Video Is Here.

Free AI Video
100% Free AI Video Generator

Gemini Omni
Gemini Omni Video Generator

Seedance 2.1
The Future of AI Video Is Here.

Veo3.1
Create Stunning Videos with Veo3.1

Kling 3.0
Next-Gen AI Video Generator
Grok Video Generator
Create Videos from Text or Images with AI

Seedance 2.0
The Future of AI Video Is Here.
Why Use the Wan Dancer AI Video Generator
This AI model from Alibaba Tongyi Lab, Wan-Dancer-14B, takes a reference image plus an audio file and outputs a dance sequence that syncs perfectly with the rhythm. It delivers 720p resolution at 30 frames per second, maintains visual quality for over a minute, and requires no motion-capture equipment.
- Music-Driven ChoreographyThe Wan Dancer AI Video Generator builds dance moves directly from your audio, so every beat hits the right step.
- Single-Photo Identity LockOne portrait keeps face, hair, and outfit recognizable from the first frame to the last with the Wan Dancer AI Video Generator.
- Minute-Scale CoherenceThe Wan Dancer AI Video Generator holds structure past the 20-second wall where most diffusion models break down, running over a full minute.
How to Use the Wan Dancer AI Video Generator
Follow three straightforward steps to turn a photo and a song into a perfectly timed dance clip using this AI tool.
Top Capabilities of the Wan Dancer AI Video Generator
A powerful open-source model that creates long, beat-synced dance clips from a single portrait — supporting five dance styles, available with open weights, and ready for ComfyUI integration.
Beat-Locked Dance Generation
The Wan Dancer AI Video Generator extracts dance moves from the audio's waveform, so every motion corresponds to the actual rhythm rather than repeating a preset pattern.
Sustained Duration Stability
Using a global-to-local pipeline, the system stays visually stable beyond 20 seconds, making full-length verses and choruses possible without breaking coherence.
Consistent Subject Identity
Facial features, hair, and clothing remain true to the original photo throughout the entire dance, preserving the person's appearance frame by frame.
High-Definition Output at 30fps
Dance videos are rendered in crisp 720p at 30 frames per second, ideal for platforms like TikTok, Instagram Reels, and YouTube Shorts.
Five Distinct Dance Genres
Trained on Chinese classical, K-pop, hip-hop, tap, and Latin styles, the model can adapt to a wide variety of music genres using just one reference image.
Apache-2.0 Licensed Open Weights
The Wan Dancer AI Video Generator is fully open-source under Apache-2.0 on Hugging Face and ModelScope, with ComfyUI support and LoRA fine-tuning for custom choreography.
Frequently Asked Questions About the Wan Dancer AI Video Generator
Find quick answers to the most common queries regarding this music-to-dance AI tool and how it works.
What exactly is the Wan Dancer AI Video Generator?
It is an open-source model (Wan-Dancer-14B) from Alibaba Tongyi Lab that converts a single portrait photo and a music file into a dance video that matches the beat, outputting 720p at 30fps without requiring motion capture.
How does it generate dance movements from audio?
The process uses a two-stage pipeline: first, a global stage reads the entire track and plans keyframe choreography; then a local stage refines each frame's motion, ensuring long sequences remain smooth and coherent.
What inputs does the tool require?
You need a clear portrait photo (a vertical full-body shot is recommended), an audio or music file, and a brief text prompt specifying the dance style you want to generate.
What is the maximum video length it can produce?
The model is designed for minute-scale generation and stays stable well past the typical 20-second limit that many diffusion models cannot exceed.
Which dance styles are available?
The system was trained on five genres — Chinese classical, K-pop, street, tap, and Latin — and you choose the style through your text prompt.
Is the model open source? How can I access it?
Yes, Wan-Dancer-14B is released under the Apache-2.0 license on Hugging Face and ModelScope, with complete inference code, ComfyUI integration, and LoRA fine-tuning for custom routines.
Experience the Wan Dancer AI Video Generator Now
Create beat-synced dance videos from your own photos and music instantly with this powerful open-source tool.
