Wan animate
Wan-Animate is a unified framework for character animation and replacement that animates any character image using a performer's reference video, precisely replicating facial expressions and body movements to generate high-fidelity videos. It also supports character replacement in existing videos while replicating the scene's lighting and color tone for seamless integration, and is built upon the Wan model with an auxiliary Relighting LoRA.

Key facts
What is Wan animate?
A unified open-source framework that delivers state-of-the-art character animation and replacement with precise expression and motion replication, plus environmental lighting adaptation.
Who is Wan animate best for?
Researchers, AI developers, animators
What are its main limitations?
- Primarily intended for academic research and effect demonstration, not a production-ready service
- Requires significant computational resources (GPU) for inference
- No user-friendly interface or API; requires technical expertise to run
Limitations are based on product materials or editorial synthesis; confirm on the official site.
Key features
- ✓Precisely replicates facial expressions and body movements from a reference video
- ✓Animates any character image using a performer's video
- ✓Replaces characters in a video while preserving original expressions and movements
- ✓Replicates scene lighting and color tone via an auxiliary Relighting LoRA
- ✓Uses spatially-aligned skeleton signals for body motion and implicit facial features for expressions
- ✓Built upon the Wan-I2V model with a modified input paradigm for unified symbolic representation
- ✓Supports dual-mode operation: character animation and character replacement
- ✓Generalizable to arbitrary characters (both human and non-human)
Use cases
- →Animating a static character image with the expressions and movements of a performer
- →Replacing a character in an existing video with a different animated character while keeping the original scene lighting
- →Creating expressive human animation with synchronized body and facial motion
- →Generating character videos for research in computer vision and graphics
- →Enabling dynamic motion and camera movement in generated videos
Pros
- +State-of-the-art performance in character animation and replacement
- +High controllability and expressiveness due to skeleton and facial feature signals
- +Seamless environmental integration through Relighting LoRA
- +Committed to open-source release of model weights and code
Cons
- −Primarily intended for academic research and effect demonstration, not a production-ready service
- −Requires significant computational resources (GPU) for inference
- −No user-friendly interface or API; requires technical expertise to run
Positioning
- Core value: A unified open-source framework that delivers state-of-the-art character animation and replacement with precise expression and motion replication, plus environmental lighting adaptation.
- Ideal for: Researchers, AI developers, animators
- Product type: Open-source model and code
Frequently asked questions
What is Wan-Animate?
Wan-Animate is a unified framework for character animation and replacement that can animate any character image based on a performer's video, precisely replicating facial expressions and movements to generate high-fidelity character videos. It also supports replacing characters in videos while replicating scene lighting and color tone.
How does Wan-Animate work?
It is built upon the Wan-I2V model with a modified input paradigm. It uses spatially-aligned skeleton signals for body motion control and implicit facial features for expression reenactment. For character replacement, an auxiliary Relighting LoRA enhances environmental integration.
Is Wan-Animate open-source?
Yes, the project is committed to open-sourcing the model weights and source code. GitHub and Hugging Face model repositories are available.
What are the main use cases?
Animating static character images with performer motions, replacing characters in videos while preserving expressions and lighting, and generating expressive character videos for research.
Who is Wan-Animate intended for?
The project is intended solely for academic research and effect demonstration, targeting researchers and AI developers in computer vision and graphics.
You may also like
Curated suggestions based on similar categories.
Doodlify
Doodlify is an AI-powered tool that converts any photo, image, or picture into charming hand-drawn doodle art. Users upload a photo, the AI transforms it into a colorful doodle, and the finished artwork is delivered via email within minutes. The service is available as a web app and native mobile apps on Android and iOS.
Easychef
EasyChef is a mobile app that generates recipes based on ingredients you already have at home, helping you reduce food waste and save money.
Graft AI
Graft AI was an AI platform for foundation models that provided an Intelligence Layer to operationalize LLMs and connect internal documents, databases, and knowledge bases to AI models, enabling production-grade solutions for generative, predictive, and structured analytics. The company was acquired by You.com in October 2025.
Synthia
SYNTHIA is a synthetic data generation framework for integrated validation of AI healthcare applications. It provides privacy-preserving synthetic data across various healthcare data types to accelerate personalized medicine and research. The project is a multidisciplinary collaboration of 39 partners developing validated tools and methods for synthetic data generation.
Muse Spark 1.1 by Meta AI
Muse Spark is a natively multimodal reasoning model from Meta Superintelligence Labs, the first in the Muse family. It features tool-use, visual chain of thought, and multi-agent orchestration, and is available at meta.ai and the Meta AI app.
Monogram AI
Monogram is an AI with an interactive visual interface that responds with visuals to user queries. It assists with everyday tasks such as finding recipes, movies, planning events, finding restaurants, and comparing products. The company has raised a $40M seed round and offers a mobile app.