📝 Introduction

We present Wan-Animate-2, a novel end-to-end character animation framework that directly consumes driving videos in a redesigned Diffusion Transformer, which achieves high-fidelity motion generation and strong identity preservation by eliminating intermediate motion extractors. We further add text-driven viewpoint control to decouple the output camera perspective from the driving video. In addition, we develop Wan-Animate-2-Lite, an efficient variant that reduces inference latency to real-time thresholds for streaming character animation.

Release Notes:

• August 07, 2026: 🎉 We release the Wan-Animate-2 inference scripts.
• August 07, 2026: 🎉 We release the Wan-Animate-2 Base model weights.
• August 07, 2026: 🎉 We release the Wan-Animate-2 Distillation model weights.

Models :

• https://huggingface.co/Wan-AI/Wan2.2-Animate-2-14B
• https://huggingface.co/Wan-AI/Wan2.2-Animate-2-14B-Diffusers
• https://huggingface.co/Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers

GitHub : https://github.com/Wan-Video/Wan-Animate-2