InfiniteTalk: Audio-Driven Video Generation for Talking Videos

InfiniteTalk is a novel sparse-frame video dubbing framework that represents a significant advancement in audio-driven video generation technology. Developed by the MultiTalk team, this framework enables the creation of unlimited-length talking videos with accurate lip synchronization, head movements, body posture, and facial expressions from audio input.

What is InfiniteTalk?

InfiniteTalk is an audio-driven video generation tool designed for creating talking avatar videos. Unlike traditional dubbing methods that focus solely on lip synchronization, InfiniteTalk takes a comprehensive approach by synchronizing multiple aspects of human expression and movement with audio input. The framework operates on a sparse-frame video dubbing approach, where given an input video and audio track, it synthesizes a new video with accurate lip synchronization while simultaneously aligning head movements, body posture, and facial expressions with the audio.

Key Innovations

Unlimited Video Length: Unlike previous frameworks limited to short clips, InfiniteTalk can generate videos of infinite duration, limited only by hardware capabilities.
Comprehensive Synchronization: Synchronizes not just lips, but also head movements, body posture, and facial expressions with audio input.
Enhanced Stability: Reduces hand and body distortions compared to previous MultiTalk versions, providing more stable and natural-looking video output.
Superior Lip Accuracy: Achieves superior lip synchronization compared to MultiTalk, ensuring precise audio-visual alignment.
Multi-Person Support: Supports multiple people in a single video with individual audio tracks and reference target masks.
Flexible Input Options: Works with both image-to-video and video-to-video generation, providing flexibility for different content creation workflows.

Technical Architecture

InfiniteTalk is built on a sophisticated technical foundation that enables its advanced capabilities. The framework processes videos in chunks with overlapping frames to maintain consistency across long sequences. Each chunk typically contains 81 frames with 25 overlapping frames carried into the next chunk, ensuring smooth transitions and preventing artifacts that could break the illusion of continuous motion.

The system supports both 480P and 720P resolutions, allowing users to choose between faster processing times and higher quality output. It includes several optimization features including TeaCache acceleration, APG (Adaptive Parameter Grouping), and quantization options for low VRAM usage, making it accessible to users with different hardware configurations.

Applications and Use Cases

Content Creation: Long-form educational videos, tutorials, and presentations with talking avatars
Entertainment: Animated characters for storytelling, podcasts, and entertainment content
Business Communication: Professional presentations and corporate communications
Accessibility: Visual avatars that communicate information through speech and visual cues
Research and Development: Support for academic and commercial research in human-computer interaction
Multilingual Content: Content creation in multiple languages with consistent visual identity

Development and Research

InfiniteTalk is the result of ongoing research and development in the field of audio-driven video generation. The framework builds upon the foundation established by the MultiTalk project, incorporating new techniques and optimizations to achieve its advanced capabilities. The research paper detailing the technical approach and methodology is available at arxiv.org/abs/2508.14033.

The project is open-source and available on GitHub at github.com/bmwas/InfiniteTalk, allowing researchers, developers, and content creators to access, study, and contribute to the technology. The model files are also available on Hugging Face at huggingface.co/MeiGen-AI/InfiniteTalk for easy integration into various workflows.

Future Directions