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Wan-Animate-2

AI ModelsAI Animation ToolsOpen Source · Web

Wan-Animate-2 is an innovative character animation framework that utilizes driving videos to generate high-fidelity motion. It offers text-driven viewpoint control and includes a lite variant for real-time streaming animation.

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Wan-Animate-2 is a cutting-edge character animation framework designed to push the boundaries of application in animation models. Developed by a team of experts including Guangyuan Wang and Li Hu, this framework directly consumes driving videos using a redesigned Diffusion Transformer. This approach eliminates the need for intermediate motion extractors, resulting in high-fidelity motion generation and strong identity preservation.

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One of the standout features of Wan-Animate-2 is its text-driven viewpoint control, which allows users to decouple the output camera perspective from the driving video. This adds a layer of flexibility and creativity to the animation process. Additionally, Wan-Animate-2-Lite is introduced as an efficient variant that reduces inference latency to real-time thresholds, making it ideal for streaming character animation.

The framework supports integration with popular libraries such as Diffusers and DiffSynth-Studio, and offers a Gradio demo for users to try online or run locally. Released under the Apache License 2.0, Wan-Animate-2 is accessible to developers and researchers looking to explore advanced character animation techniques.

While the framework is optimized for specific hardware configurations, users can adjust settings to suit their own setups. Wan-Animate-2 provides comprehensive documentation and resources for installation, model download, and inference, ensuring a smooth user experience.

  • CategoryAI Animation Tools
  • Pricing ModelOpen Source
  • DeploymentCloud
  • PlatformsWeb

  • End-to-end character animation

  • High-fidelity motion generation

  • Strong identity preservation

  • Text-driven viewpoint control

  • Real-time streaming animation

  • Diffusion Transformer integration

  • DiffSynth-Studio integration

  • Apache License 2.0

  1. Access model: Clone the repository

  2. Authenticate: Set up Python environment

  3. Set up environment: Install dependencies

  4. Integrate via API: Use diffusers library

  5. Optimise: Adjust hardware settings

  • Character Animation
  • Real-Time Streaming
  • Viewpoint Control
  • Diffusers Integration
  • Open Source Development

From Hugging Face

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