Wan Dancer: AI Music-to-Dance Video Generator
Create a full dance performance from just one image and a music file using the Wan Dancer AI Video Generator.

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Wan Dancer AI Video Generator

Produce a beat-matched dance video from a single portrait photo and any audio track. The tool delivers smooth 720p at 30fps, stays coherent beyond 60 seconds, and is released under Apache-2.0 by Alibaba Tongyi Lab.

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Top Reasons to Choose the Wan Dancer Music-to-Dance Video Tool

Developed by Alibaba Tongyi Lab, this open-source model (Wan-Dancer-14B) takes a reference picture and an audio file to produce a fully synchronized dance video at 720p and 30fps. The motion stays consistently aligned with the beat for over a minute without any motion capture hardware.

  • Beat-Synchronized Dance Generation
    This generator creates dance movements directly from the audio waveform, ensuring each beat corresponds to a perfect step.
  • Consistent Subject Appearance from One Photo
    Using just one portrait, the tool keeps the face, hairstyle, and clothing consistent throughout the entire dance video.
  • Extended Duration Stability
    This tool maintains structural coherence well beyond the 20-second limit where typical diffusion models lose stability, achieving dance sequences over one minute long.

Step-by-Step Guide to the Wan Dancer Dance Video Generator

Follow three straightforward steps to create a dance video that is perfectly synchronized with your music using this advanced AI tool.

Key Capabilities of the Wan Dancer Dance Video Tool

This open-source model excels at generating long, beat-synchronized dance sequences from a single subject. It supports five dance genres, offers open weights, and integrates seamlessly with ComfyUI.

Audio-Based Choreography

The generator extracts dance movements directly from the music waveform, ensuring each motion aligns perfectly with the beat rather than using a generic pattern.

Long-Form Structural Stability

Using a two-stage global-to-local pipeline, this tool preserves coherent motion well beyond 20 seconds, easily covering an entire musical phrase.

Identity Retention from a Single Portrait

The model tracks facial features, hair, and attire from the reference photo, ensuring the dancer remains recognizable from start to finish.

High-Definition Smooth Playback

The tool outputs crisp 720p video at 30fps, perfect for sharing on short-form video platforms like TikTok, Instagram Reels, and YouTube Shorts.

Support for Multiple Dance Styles

The model is trained on five styles—Chinese classical, K-pop, street, tap, and Latin—enabling it to adapt to various musical moods from a single input image.

Fully Open-Source with Permissive License

Released under the Apache-2.0 license on Hugging Face and ModelScope, this model supports ComfyUI integration and LoRA fine-tuning for custom choreography creation.

FAQ

Frequently Asked Questions about the Wan Dancer Dance Video Tool

Find answers to the most common inquiries regarding the Wan Dancer music-to-dance video generator and its features.

1

What exactly does the Wan Dancer AI video tool do?

It is an open-source AI model by Alibaba Tongyi Lab that transforms one portrait photo and a music track into a rhythm-synchronized dance video at 720p / 30fps without needing any motion capture equipment.

2

How does the dance generation process work?

The system employs a two-stage pipeline. First, a global stage analyzes the entire song and plans the choreography as keyframes; then a local stage refines each frame. This approach ensures long dance segments remain coherent.

3

What inputs are required to generate a dance video?

You need a well-lit portrait photo (preferably a vertical full-body shot), a music or audio file, and a brief text prompt indicating the desired dance style.

4

What is the maximum duration of a dance video?

This tool is designed for minute-long generation; it stays coherent well beyond the approximate 20-second limit where many diffusion models lose consistency.

5

Which dance styles can the tool generate?

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

6

Is the Wan Dancer model open source?

Yes, it is released under Apache-2.0 on both Hugging Face and ModelScope. It includes full inference code, ComfyUI integration, and LoRA fine-tuning for custom choreography.

Experience the Wan Dancer Dance Video Generator Now

Begin crafting dance videos that sync perfectly with your music from just a photo and a track—powered by cutting-edge AI.