we’ve built SteadyDancer, an AI dance animation tool designed for first-frame identity preservation and stable character rendering across all video frames. Instead of identity drift or inconsistent faces, clothing, or body proportions, SteadyDancer keeps the reference character locked while transferring dance motion from a driving video.
Key features of SteadyDancer:
First-Frame Identity Preservation – Set the character identity once, and SteadyDancer keeps the same face, outfit, and proportions through the entire animation sequence.
Video-Driven Motion Transfer – Upload a dance or performance video and SteadyDancer applies the motion to your character while maintaining identity stability.
Pose & Condition Control – Advanced pose modulation reduces broken limbs and improves motion coherence, creating smoother transitions frame-to-frame.
Flexible Resolution Output – Fast previews at 480p for iteration, production output at 720p for clean final dance animations.
Why we built SteadyDancer:
Current animation models often sacrifice identity stability to follow motion, or lose realistic movement to keep identity. SteadyDancer solves both problems, making identity-stable dance animation accessible to creators building VTuber content, dance remixes, music videos, and character-consistent animation workflows.
We’d love feedback on:
• How identity-stable dance animation fits into your creative workflow
• Export formats or integrations that would help your pipeline
• Performance vs quality trade-offs that matter to you
Try SteadyDancer here:https://steadydancer.net/?i=d1d5k