InfiniteTalk

InfiniteTalk: Unlimited-Length Talking Video Generation

InfiniteTalk is a cutting-edge tool that creates talking avatar videos from audio input. It goes beyond traditional dubbing methods by synchronizing not just lip movements but also head movements, body posture, and facial expressions. This results in natural and engaging video content of unlimited length.

Benefits

• Unlimited Video Length: Create videos that last as long as you need, limited only by your computer's RAM and VRAM.
• Comprehensive Synchronization: Ensures that lip movements, head rotations, body posture, and facial expressions all align perfectly with the audio.
• Enhanced Stability: Reduces distortions in hand and body movements, providing smoother and more natural-looking videos.
• Superior Lip Accuracy: Achieves precise lip synchronization for professional-quality results.
• 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, offering flexibility for different content creation needs.

Use Cases

• Content Creation: Ideal for creating long-form educational videos, tutorials, and presentations with talking avatars that maintain natural expressions and movements.
• Entertainment: Generate animated characters for storytelling, podcasts, and entertainment content with unlimited duration capabilities.
• Business Communication: Create professional presentations and corporate communications with consistent avatar appearances and natural speech synchronization.
• Accessibility: Develop accessible content with visual avatars that can communicate information through both speech and visual cues.
• Research and Development: Support academic and commercial research in human-computer interaction, virtual reality, and digital human technologies.
• Multilingual Content: Create content in multiple languages with the same avatar, maintaining consistent visual identity across different linguistic versions.

Technical Capabilities

• Audio Synchronization: Advanced audio processing to drive not just lip movements but also head rotations, body posture changes, and facial expressions.
• Memory-Based Processing: Processes videos in chunks with overlapping frames to maintain consistency across long sequences.
• Resolution Flexibility: Supports both 480P and 720P resolutions, allowing users to choose between faster processing times and higher quality output.
• Optimization Features: Includes TeaCache acceleration, APG (Adaptive Parameter Grouping), and quantization options for low VRAM usage.

How to Use InfiniteTalk

1. Environment Setup: Install the required dependencies including PyTorch, xformers, flash-attn, and other supporting libraries. Create a conda environment with Python 3.10 and install the necessary packages.
2. Model Download: Download the required model files including the base Wan2.1-I2V-14B-480P model, chinese-wav2vec2-base audio encoder, and InfiniteTalk weights from the official Hugging Face repositories.
3. Input Preparation: Prepare your input materials either a single image for image-to-video generation or an existing video for video-to-video dubbing. Ensure your audio file is properly formatted and synchronized.
4. Configuration: Configure the generation parameters including resolution (480P or 720P), sampling steps, motion frames, and other settings based on your hardware capabilities and quality requirements.
5. Generation: Run the generation process using the appropriate command-line interface or ComfyUI integration. Monitor the progress as the system processes your content in chunks with overlapping frames.
6. Post-Processing: Apply any necessary post-processing steps such as frame interpolation to double the FPS, color correction, or other enhancements to achieve the desired final quality.

Additional Information

InfiniteTalk is an open-source framework available for research and development. It supports both 480P and 720P resolutions and includes optimization features for different hardware configurations. The framework is designed to be flexible, supporting both image-to-video and video-to-video generation, and can handle multiple people in a single video with individual audio tracks and reference target masks.

For more detailed information, you can refer to the research paper available atarxiv.org/abs/2508.14033and the GitHub repository atgithub.com/bmwas/InfiniteTalk.