Tencent open-sources HunyuanVideo-Foley for AI video sound effects

HunyuanVideo-Foley is an open-source text-video-to-audio (TV2A) framework from Tencent Hunyuan. In plain terms, you feed it a silent video along with optional text prompts, and it automatically spits out synced, high-fidelity sound effects tailored to the visual action.

Foley work—the art of manually recording and lining up footfalls, rustling leaves, or door slams—has long been one of the most tedious bottlenecks in filmmaking, game dev, and post-production. HunyuanVideo-Foley is built to automate that entire pipeline.

What it does and how it works

According to benchmarks released by the team, HunyuanVideo-Foley outperforms existing open-source baselines across audio fidelity, visual-semantic matching, and precise temporal alignment.

Instead of spitting out a flat, muddy audio track, the model generates multi-layered soundscapes. It can identify the primary subject's sharp movements while naturally filling in subtle background ambient noise, such as distant traffic or rustling wind, across both real-world footage and animated clips.

Under the hood, Tencent trained the model on a massive 100,000-hour multimodal dataset. It runs on a multimodal diffusion transformer (MMDiT) architecture, which balances visual motion signals with textual context cues so neither gets ignored.

To keep the audio crisp and free of weird synthetic hiss, the researchers implemented a Representation Alignment (REPA) loss function paired with a custom Audio VAE, locking the audio tightly to on-screen keyframes.

How to get started

Tencent made this a genuine open-source drop. The complete code repository is available on GitHub, and the pre-trained weights are hosted on Hugging Face.

Creators and developers can check out interactive video demos on the official GitHub Pages project site, or dive deep into the technical specifications via the report on arXiv.

Why it matters

If you work in video editing, indie game production, or digital content creation, this is worth testing immediately. Generating realistic, synchronized foley with zero manual track-slicing can easily shave hours off your post-production workflow.

While AI video models have gotten scary good at generating moving pixels, most outputs are still eerie, silent films. We think releasing a competitive, open-source audio-generation model solves one of the biggest missing pieces of generative video, and it will push commercial video tools to make native audio generation the default standard.