Local Ai
Wan-Animate-2: Pushing the Application Boundaries of Character Animation Models
📝 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 moti
📝 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 submitted by /u/pmttyji [link] [comments]
Source: r/LocalLLaMA | 2026-08-07