Create AI-Powered Realistic Videos with OmniHuman
You can generate dynamic human scenes using our multimodality-conditioned framework supporting audio/video/image inputs
What is OmniHuman?
OmniHuman AI is an advanced AI framework developed by ByteDance, the parent company of TikTok. It is designed to generate highly realistic human videos from minimal input, such as a single image and an audio sample.
This technology represents a significant leap in AI-driven video creation, offering capabilities that surpass previous models by integrating multiple input sources simultaneously, including images, audio, body poses, and textual descriptions.
- Works with any input, intelligently combines whatever you provide.
- Smart Format Adjustment, optimizes space for perfect HD results every time.
- Universal Character Animation, makes humans, cartoon characters, and 3D models move naturally with realistic physics.
OmniHuman1 Quick Overview
| Feature | Description |
|---|---|
| AI Tool | OmniHuman-1 |
| Category | Multimodal AI Framework |
| Function | Human Video Generation |
| Generation Speed | Real-time video generation |
| Research Paper | arxiv.org/abs/2502.01061 |
| Github | https://omnihuman-lab.github.io/ |
| Official Website | omnihuman-1.com |
Key Features of OmniHuman AI
Multimodal Input
Combines different types of inputs like images, audio, and video to create realistic videos.
Realistic Lip Sync and Gestures
Precisely matches lip movements and gestures to speech or music, making avatars appear natural.
Versatile Input Handling
Supports portraits, half-body, and full-body images seamlessly, working effectively with weak signals like audio-only input.
High-Quality Output
Generates photorealistic videos with accurate facial expressions, gestures, and synchronization.
Examples of Omnihuman1 in Action
Talking Video Example 1
Talking Video Example 2
Talking Video Example 3
Talking Video Example 1
Talking Video Example 2
Talking Video Example 3
How It Works
Training Data
OmniHuman was trained on extensive video footage, ranging from 18,700 to 19,000 hours, to learn from diverse inputs.
Omni-Conditions Training
Integrates multiple condition signals during training, allowing it to learn holistically from text, audio, and pose data.
Real-Time Generation
Enables real-time video generation, making it suitable for various applications, including entertainment, education, and digital avatars.
Omnihuman1 FAQs
What is OmniHuman AI?
OmniHuman AI is an AI video generation tool developed by ByteDance. It creates highly realistic human animations from minimal inputs, such as a single image and audio, making it ideal for automating human interactions and personalizing customer engagement.
What types of inputs does OmniHuman support?
OmniHuman supports a variety of inputs, including images (portraits, half-body, and full-body), audio, video, and text. It can generate animations based on these inputs, allowing for versatile video creation across different formats and styles.
How does OmniHuman AI work?
OmniHuman works by integrating multiple condition signals during training, known as "omni-conditions." These include text, audio, and body movements, allowing the model to learn holistically from diverse human interactions and generate realistic animations.
What are the key features of OmniHuman AI?
Key features include advanced lip-syncing, realistic facial expressions, and natural body movements. It uses a diffusion transformer for motion blending, ensuring seamless transitions and avoiding stiff, robotic motion. OmniHuman also supports real-time video generation and can handle various aspect ratios.
What are some potential use cases for OmniHuman AI?
Potential use cases include creating personalized video messages, AI-powered instructors for educational content, virtual customer service agents, and realistic avatars for gaming and animation. It can also be used in marketing and entertainment.
How does OmniHuman AI achieve realistic lip-syncing?
OmniHuman achieves realistic lip-syncing through advanced NLP for analyzing voice cadence and phonetics, combined with audio-driven motion synthesis. This ensures that lip movements accurately match the audio input, while also adding facial expressions and gestures that align with the tone of the speech.