MMAudio V2

AI model that synthesizes high-quality audio from video content, enabling seamless video-to-audio transformation.

Model Overview

A plain-language description of what the model does (e.g. "Text-to-image generator trained on modern photography").
An advanced AI model that synthesizes high-quality audio from video content, enabling seamless video-to-audio transformation. It processes visual information to generate corresponding audio that naturally fits the content, maintaining temporal consistency.

Best At

• Generating high-fidelity audio that matches visual elements in videos.
• Real-time synchronization with video events.
• Synthesizing environmental sounds and action-to-sound mappings.
• Adding audio to silent films or enhancing existing video audio.

Limitations / Not Good At

• Processing time increases with video length.
• Complex acoustic environments or rapid scene changes might require additional processing or may impact quality.
• Output quality is dependent on the clarity and content of the input video.
• Unique or highly specific sound effects might need specialized handling.

Ideal Use Cases

• Film and video post-production to add sound effects or ambient audio.
• Silent film restoration projects.
• Enhancing educational videos with background sounds.
• Creating soundscapes for games and VR experiences.
• Improving accessibility of video content.

Input & Output Format

Input: Video file, optional text prompt, negative prompt, duration, and various generation parameters.
Output: Audio file (URI).

Performance Notes

• Processing time scales with video length and complexity.
• Performance can vary with rapid scene changes in the input video.