Q.What is Wan Animate?
A.Wan Animate (also known as Wan 2.2 Animate) is a unified framework for character animation and replacement. It can animate characters by replicating expressions and movements from reference videos, or integrate animated characters into existing videos with seamless environmental integration.
Q.How does character animation work?
A.Given a character image and reference video, Wan 2.2 Animate uses spatially-aligned skeleton signals for body motion control and implicit facial features for expression reenactment, generating high-fidelity character videos with precise replication.
Q.Can I replace characters with Wan Animate?
A.Yes! Wan Animate can replace characters in videos while preserving their expressions and movements, and replicating the scene's lighting and color tone for seamless environmental integration using our Relighting LoRA.
Q.What's new in Wan 2.2 Animate?
A.Wan 2.2 Animate introduces Mixture-of-Experts architecture with 27B parameters, upgraded training data, high-compression video generation, and superior performance compared to leading commercial models. It uses carefully curated aesthetic data with detailed labels for lighting, composition, contrast, color tone, and more, enabling precise control over cinematic style.
Q.Is Wan Animate for academic or commercial use?
A.Wan Animate is committed to open-sourcing both model weights and source code. The project supports both academic research and practical applications with appropriate licensing.
Q.How does Wan Animate compare to other animation tools?
A.Unlike traditional animation software, Wan Animate uses AI to automatically replicate performer movements and expressions onto any character. It combines the precision of motion capture with the flexibility of AI generation, making professional-quality character animation accessible without extensive manual work or expensive equipment.
Q.What file formats and video specifications are supported?
A.Wan Animate supports common image formats (JPG, PNG, WebP) for character input and various video formats for reference performers. Output videos can be generated in resolutions up to 720P at 24fps, with the system optimized for both short clips and longer sequences depending on hardware configuration.