Imagine taking a single photo and transforming it into a fully animated video, where the subject moves naturally, speaks, and gestures in perfect sync with audio. That’s exactly what OmniHuman-1, the latest breakthrough from ByteDance, the parent company of TikTok, aims to achieve.
This AI framework is designed to generate lifelike human motion and speech from minimal input—just an image and an audio sample—solving a key challenge in AI-driven video creation. Previous models struggled with scaling movement data efficiently, often losing valuable motion patterns in the process. OmniHuman-1 advances the field by integrating multiple input sources simultaneously, including images, audio, body poses, and textual descriptions, ensuring more precise and fluid motion synthesis.
Trained on 19,000 hrs video footage
To build this system, ByteDance researchers trained it on 19,000 hours of video footage, allowing it to smoothly animate still frames into dynamic sequences that feel incredibly real. The AI first compresses movement data from its various inputs and then refines it by comparing its generated videos to real footage.
This two-step process enables OmniHuman-1 to produce highly accurate mouth movements, facial expressions, and body gestures, making the final output look natural and immersive. A demonstration of the technology features Nvidia CEO Jensen Huang appearing to sing, highlighting both the impressive realism and the potential risks associated with AI-generated deepfakes.
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OmniHuman-1 Generates extremely realistic human videos based on guiding audio, video or a single image. Results are mindblowing, especially the last one ???? pic.twitter.com/s8Lwy6RL8k
— Gradio (@Gradio) February 4, 2025
Beyond its ability to animate real people, OmniHuman-1 can also bring cartoon characters to life, offering new possibilities in animation, gaming, and digital avatar creation.
Theoretically, the model can generate videos of unlimited length, with current demonstrations ranging from five to 25 seconds, constrained only by available memory rather than the AI itself.
AI-driven media on the rise
This development comes shortly after ByteDance introduced INFP, another AI project specialising in animating facial expressions in conversations. Given the massive reach of TikTok and the widespread use of AI-powered tools in ByteDance’s video editing app, CapCut, OmniHuman-1 could soon revolutionise how AI-generated media is integrated into mainstream content creation.
Future of video AI
With ByteDance increasing focus on AI innovation in 2024, OmniHuman-1 represents a major leap forward in AI-driven video generation. As this technology advances, it raises important questions about its implications — whether for creative storytelling, entertainment, or the growing concerns around deepfakes and digital identity.

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