HunyuanVideo-Avatar

HunyuanVideo-Avatar

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HunyuanVideo-Avatar is a state-of-the-art multimodal diffusion transformer model that enables high-fidelity audio-driven human animation with dynamic motion, emotion control, and multi-character dialogue capabilities.
https://hunyuanvideo-avatar.github.io/?ref=aipure
HunyuanVideo-Avatar

Product Information

Updated:May 30, 2025

What is HunyuanVideo-Avatar

HunyuanVideo-Avatar is an innovative AI model developed to address key challenges in audio-driven human animation. Built upon the HunyuanVideo framework, it takes input avatar images of various styles (photorealistic, cartoon, 3D-rendered, anthropomorphic) at any scale and resolution, and generates high-quality animated videos driven by audio. The system stands out for its ability to maintain character consistency while producing highly dynamic animations, precisely align emotions between characters and audio, and handle multiple characters simultaneously in dialogue scenarios.

Key Features of HunyuanVideo-Avatar

HunyuanVideo-Avatar is a state-of-the-art multimodal diffusion transformer (MM-DiT) based model that enables high-fidelity audio-driven human animation for multiple characters. It excels at generating dynamic videos while maintaining character consistency, achieving precise emotion alignment between characters and audio, and supporting multi-character dialogue scenarios through innovative modules like character image injection, Audio Emotion Module (AEM), and Face-Aware Audio Adapter (FAA).
Character Image Injection: Replaces conventional addition-based character conditioning to eliminate condition mismatch between training and inference, ensuring dynamic motion and strong character consistency
Audio Emotion Module (AEM): Extracts and transfers emotional cues from reference images to generated videos, enabling fine-grained and accurate emotion style control
Face-Aware Audio Adapter (FAA): Isolates audio-driven characters using latent-level face masks, allowing independent audio injection via cross-attention for multi-character scenarios
Multi-stage Training Process: Implements a two-stage training process with audio-only data first, followed by mixed training combining audio and image data for enhanced motion stability

Use Cases of HunyuanVideo-Avatar

E-commerce Virtual Presenters: Creating dynamic product demonstrations and presentations using AI-driven talking avatars
Online Streaming Content: Generating engaging virtual hosts and characters for live streaming and digital content creation
Social Media Video Production: Creating personalized avatar-based content for social media platforms with emotional expression control
Multi-character Video Content: Producing dialogue-based videos featuring multiple interactive characters for entertainment or educational purposes

Pros

Superior character consistency and identity preservation
Fine-grained emotion control capabilities
Support for multiple character interactions

Cons

Complex system architecture requiring significant computational resources
Dependent on high-quality reference images and audio inputs

How to Use HunyuanVideo-Avatar

Download and Setup: Download the inference code and model weights of HunyuanVideo-Avatar from the official GitHub repository (Note: Release date is May 28, 2025)
Prepare Input Materials: Gather required inputs: 1) Avatar images at any scale/resolution (supports photorealistic, cartoon, 3D-rendered, anthropomorphic characters), 2) Audio file for animation, 3) Emotion reference image for style control
Install Dependencies: Install required dependencies including PyTorch and other libraries specified in the requirements.txt file
Load Models: Load the three key modules: Character Image Injection Module, Audio Emotion Module (AEM), and Face-Aware Audio Adapter (FAA)
Configure Character Settings: Input the character images and configure the character image injection module to ensure consistent character appearance
Set Audio and Emotion Parameters: Input the audio file and emotion reference image through AEM to control the emotional expression of characters
Setup Multi-Character Configuration: For multi-character scenarios, use FAA to isolate and configure audio-driven animation for each character independently
Generate Animation: Run the model to generate the final animation video with dynamic motion, emotion control and multi-character support
Export Results: Export the generated animation video in desired format and resolution

HunyuanVideo-Avatar FAQs

HunyuanVideo-Avatar is a multimodal diffusion transformer (MM-DiT)-based model that generates dynamic, emotion-controllable, and multi-character dialogue videos from audio input. It's designed to create high-fidelity audio-driven human animations while maintaining character consistency.

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