Wan Dancer AI Video Generator
Turn a single photo and a song into a choreographed dance clip with the Wan Dancer AI Video Generator

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Wan Dancer AI Video Generator

Experience the Wan Dancer AI Video Generator — transform a single photo and music into a perfectly timed dance video. It delivers 720p at 30fps, stays coherent for over a minute, and is open-source under Apache-2.0 from Alibaba Tongyi Lab.

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Top Benefits of the Wan Dancer AI Video Generator

Powered by Alibaba Tongyi Lab, the Wan Dancer AI Video Generator (Wan-Dancer-14B) takes one portrait and an audio file and produces a complete dance video with beat-synced movements. It outputs 720p at 30fps, maintains consistency for over 60 seconds, and needs no motion capture equipment.

  • Beat-Synced Dance Moves
    This tool creates dance sequences that follow the rhythm of your track, ensuring each movement matches the musical beat.
  • Consistent Subject Identity from a Single Photo
    With just one reference image, the generator preserves facial features, hairstyle, and clothing throughout the entire dance clip.
  • Long-Form Dance Stability
    Unlike many diffusion models that lose coherence after 20 seconds, this system maintains consistent motion and structure for over a minute.

How to Generate Dance Clips Using This Tool

Follow three easy steps to turn a portrait and a music track into a rhythm-aligned dance video using the Wan Dancer AI Video Generator.

Core Capabilities of the Wan Dancer AI Video Generator

This open-source AI model specializes in generating extended, beat-synced dance videos from a single subject. It supports five dance styles, offers open weights, and integrates with ComfyUI, all powered by the Wan Dancer AI Video Generator.

Rhythm-Based Choreography

Instead of using generic loops, this generator analyzes the audio waveform to create dance moves that hit each beat precisely.

Extended Duration Stability

Thanks to its two-stage pipeline (global planning then local refinement), the system stays coherent for over 20 seconds, easily covering an entire musical phrase.

Preserved Subject Appearance from One Image

The tool ensures the dancer's face, hair, and outfit remain consistent throughout the video, all derived from a single reference portrait.

High-Definition 720p 30fps Video

Outputs smooth, high-resolution dance videos at 30fps, perfect for social media platforms like TikTok, Instagram Reels, and YouTube Shorts.

Support for Five Dance Styles

The model is trained on five distinct genres—Chinese classical, K-pop, street, tap, and Latin—allowing it to adapt to various music moods from a single portrait.

Open Source Under Apache-2.0

Available on Hugging Face and ModelScope under the Apache-2.0 license, this model includes ComfyUI support and LoRA fine-tuning capabilities for creating custom dance sequences.

FAQ

Frequently Asked Questions About the Wan Dancer AI Video Generator

Find answers to the most common queries regarding the Wan Dancer AI Video Generator and its music-to-dance functionality.

1

What Exactly Is the Wan Dancer AI Video Generator?

The Wan Dancer AI Video Generator (Wan-Dancer-14B) is an open-source model from Alibaba Tongyi Lab. It converts one portrait photo and a music track into a beat-synced dance video at 720p and 30fps, eliminating the need for motion capture equipment.

2

How Does This Dance Generator Operate?

The system employs a two-stage process. First, it analyzes the entire music track and creates a keyframe-based choreography plan. Then, it refines each frame individually. This approach ensures that long dance sequences remain stable and coherent.

3

What Inputs Are Required?

You need a well-lit full-body portrait (vertical orientation recommended), a music or audio file, and a brief text prompt describing the dance style you want the Wan Dancer AI Video Generator to use.

4

What Is the Maximum Dance Video Duration?

This generator is designed for minute-long outputs. It remains coherent far beyond the typical 20-second limit where many diffusion models start to break down.

5

Which Dance Genres Are Supported?

The model was trained on five dance genres: Chinese classical, K-pop, street, tap, and Latin. You can specify your preferred style in the text prompt.

6

Is the Wan Dancer AI Video Generator Open Source?

Yes, the Wan-Dancer-14B model is open-source under Apache-2.0 and available on Hugging Face and ModelScope. It comes with full inference code, ComfyUI integration, and LoRA fine-tuning support for custom choreography.

Start Using the Wan Dancer AI Video Generator Now

Begin generating rhythm-matched dance videos from your photos and music instantly with the Wan Dancer AI Video Generator.