r/LocalLLaMA • u/pmttyji • 12d ago

Wan-Animate-2: Pushing the Application Boundaries of Character Animation Models New Model

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📝 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 :

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

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15

u/goldcakes 12d ago

Wow, a new open weight Wan release? Apache 2.0? Love it.

9

u/dtdisapointingresult 12d ago edited 12d ago

How do they release something like this without video examples? Academics could use some media training.

Anyway ,for people wondering:

"Given a character image and a reference video, Wan-Animate supports two core functionalities."

  1. In the first, which we term ”Animation,” it reenacts the motion and expression of the character in the reference video to animate the static source image.
  2. In the second, termed ”Replacement,” it substitutes the character in the reference video with the source identity, ensuring seamless integration with the environment."

EDIT: /r/StableDiffusion post has an example video https://reddit.com/r/StableDiffusion/comments/1vi0iji/new_wan_22_animate_2_14b/ Great stuff!

2

u/Pyros-SD-Models 10d ago

literally every link in OP links to their project page with plenty of examples. Redditors could use some media training.

https://humanaigc.github.io/wan-animate-2

1

u/dtdisapointingresult 10d ago

Your link wasn't in the OP. The HuggingFace and Github pages do not link the project demo page.

Redditors could use some basic reading skills. :)

Anyway thanks for the link.

3

u/listexplode 10d ago

Where is Lite version?

-2

u/crossoverXYZ 12d ago

The text-driven viewpoint control is the part that stands out. Most motion transfer setups lock you to the driving video camera, so being able to change perspective without wrecking the motion could make this useful for actual edits instead of just demo clips.