HunyuanVideo Foley Description

HunyuanVideo Foley is an advanced AI model developed by Tencent's Hunyuan team focused on generating high-quality, richly detailed sound effects for silent videos. Leveraging multimodal diffusion and large-scale data training, it synthesizes audio that aligns tightly with video content and textual descriptions, greatly enhancing the auditory experience of visual media.

Technical Specifications

• Architecture: Multimodal diffusion model combining video, text, and audio modalities with specialized alignment loss and audio VAE optimization.
• Audio Sample Rate: Supports high-fidelity audio output at 48 kHz.
• Model Components: Utilizes DAC-VAE for audio reconstruction and a multimodal transformer block for joint video and text integration.
• Training Data: Trained on extensive datasets including Kling-Audio-Eval, VGGSound, and MovieGen-Audio, covering diverse sounds, music, and speech domains.
• Output Features: Produces temporally synchronized, visually and semantically aligned audio streams matching video frames.

Performance Benchmarks

In comprehensive benchmarks including Kling-Audio-Eval, VGGSound-Test, and MovieGen-Audio-Bench, HunyuanVideo Foley consistently outperforms competitors like FoleyCrafter, MMAudio, V-AURA, and ThinkSound.

It consistently leads in audio fidelity, semantic alignment between visuals and sound, temporal synchronization, and distribution matching metrics, outperforming all well-known open-source models in these areas. According to both objective evaluations and professional human assessments. The model showcases robust and stable performance across a wide variety of video content and audio scenarios, confirming its reliability in diverse real-world applications.

Key Features

• Automatic Foley Generation: Translates silent video and accompanying text into vibrant, context-aware sound effects.
• Multi-Scenario Applicability: Suitable for short videos, movie post-production, advertisements, and game development.
• High Fidelity Output: Captures fine audio details like object collisions and environmental ambiance.
• Semantic Equalization Response: Balances input video and textual descriptions to create comprehensive soundscapes.
• Robust Audio Reconstruction: DAC-VAE backbone ensures consistent performance across general sounds, music, and speech.

API Pricing

• $0.0945 per 10 second.

Use Cases

• Short and social video creation
• Film and TV post-production sound design
• Marketing and advertising video audio enhancement
• Immersive audio for game development
• Automated dubbing and Foley replacement

Generation Code Sample

Output Code Sample

Comparison with Other

vs Runway Gen-3: HunyuanVideo Foley excels in generating synchronized, high-fidelity audio for videos, while Runway Gen-3 focuses on visual text-to-video synthesis. Foley achieves better sound-to-video alignment and realism. Runway offers broader video editing tools but lacks integrated audio effect generation.

vs Luma 1.6: Foley surpasses Luma 1.6 in audio-visual semantic synchronization and sound quality. Luma 1.6 specializes in spatial and temporal video consistency without sound effect generation. Foley uniquely automates professional Foley sound creation.

vs Wan 2.1: Wan 2.1 is designed for multilingual text-to-video generation and is more accessible with lower hardware requirements. Foley focuses on high-end, computationally intensive Foley sound generation for professional use. Wan 2.1 does not support synchronized audio effects like Foley.