Hunyuan Foley - AI Sound Effect Generator
HunyuanVideo-Foley is an AI tool that automatically generates Foley audio effects for videos. It uses advanced algorithms to create realistic soundscapes, enhancing the overall viewing experience.
Introduction
HunyuanVideo-Foley is a professional-grade video sound effect generation model developed by Tencent Hunyuan team, achieving high-fidelity sound effect synthesis through multimodal diffusion alignment technology. Designed specifically for video creators, it automatically generates synchronized, realistic Foley audio based on video frames plus text descriptions, making it suitable for film and television production, game development, advertising creative work, and more.
Key Features
- Multi-scene audiovisual synchronization: Generated sound effects align precisely with complex video frames, including object motion and physical interaction details. For example, footsteps sync with a character's stride, and breaking sounds match the exact moment glass shatters.
- Multimodal semantic balancing: Simultaneously analyzes visual frames and text descriptions, intelligently fusing information from both modalities. The system avoids single-modality dominance to achieve global coordination of sound elements—such as balancing rain and wind sounds for a "stormy weather" prompt.
- 48kHz high-fidelity output: A proprietary audio VAE model supports 48kHz sampling rate, preserving sound details like metallic overtones and ambient reverb. Professional-grade audio quality meets the demands of film and music production.
- Hybrid architecture design: Combines a multimodal Transformer for processing video-audio joint feature streams, a single-modality Transformer focused on optimizing audio generation quality, and a Synchformer module that achieves frame-level temporal synchronization through gated modulation.
Highlights
- SOTA performance: Leads comprehensively on authoritative benchmarks including MovieGen-Audio-Bench and Kling-Audio-Eval, ranking first across all 10+ objective and subjective metrics. Notably achieves a MOS-Q of 4.14±0.68 versus the best competitor's 3.58±0.84, a DeSync score of 0.54 versus 0.56, and a CLAP score of 0.33 versus 0.27.
- Robust data pipeline: A strict data cleaning process filters out low-quality text-video-audio triplets, improving the model's generalization capability.
- Broad application coverage: Supports automatic ambient sound generation for vlogs (like coffee shop background noise), replaces traditional Foley recording in post-production, enables real-time dynamic scene effects in games, and accelerates product demo sound design for advertising.
- Open-source ecosystem: Model weights available on HuggingFace, with the paper published on arXiv:2508.16930. Credits include Stable Diffusion 3, FLUX, MMAudio, and Synchformer.
Who It's For
HunyuanVideo-Foley is built for professional media creation teams and individual creators who need high-quality, synchronized sound effects without manual Foley recording. It is particularly well-suited for short video creators looking to enrich vlogs with ambient audio, film and TV post-production teams seeking to cut costs, game developers needing real-time dynamic soundscapes, and advertising professionals who want to quickly synthesize product demonstration sounds like engine startups. Note that the tool requires a GPU with at least 24GB VRAM (RTX 3090/4090 recommended), CUDA 12.4/11.8, Python 3.8+, and prefers Linux systems—making it ideal for studios with dedicated rendering workstations.
