Tencent Hunyuan's New Work HunyuanVideo-Foley: AI Adds High-Fidelity Sound Effects to Videos with One Click, a Boon for Video Creators!

Explore HunyuanVideo-Foley, a professional-grade AI video sound effect generation tool launched by Tencent Hunyuan. Learn how it uses a multi-modal diffusion model to bring high-fidelity, perfectly synchronized sound effects to short films, advertisements, and game development, completely changing the content creation process.

Have you ever had this experience? You’ve shot a great video, but you’re struggling to find the right background sound effects. The sound of footsteps, the wind, water droplets… these seemingly insignificant details are the key to determining the quality of a video. Traditional sound effect production is not only time-consuming but also expensive, which has always been a major pain point for independent creators or small teams.

Now, imagine if there was an AI tool that could “understand” your video and automatically generate professional, Hollywood-level sound effects that are perfectly synchronized with the picture. How great would that be?

This is not science fiction. The Tencent Hunyuan team recently open-sourced a project called HunyuanVideo-Foley, an end-to-end AI video sound effect generation model born to solve this problem. Whether you are a short video creator, filmmaker, advertising creative, or game developer, this tool may become a powerful assistant in your workflow.

Not Just Dubbing, but an AI Sound Master That “Understands” Videos

There are some tools on the market that can also add sound to videos, but the power of HunyuanVideo-Foley is that it is not just a simple sound matching. It truly tries to understand the content and semantics of the picture and generate highly consistent sound effects. This is all thanks to its three core highlights:

1. Multi-scenario Sync

In complex video scenes, the sound is often not single. For example, a video of a walk in the rain may require the sound of raindrops, the sound of footsteps stepping through puddles, and the sound of distant thunder at the same time. HunyuanVideo-Foley can handle this complex situation, generating high-quality audio that is precisely synchronized with the video timeline, greatly enhancing the realism and immersion of the video.

2. Multi-modal Semantic Balance

The smartest thing about this model is that it doesn’t just rely on visual information. It can simultaneously analyze the “picture” of the video and the “text description” you provide, intelligently balancing the two to generate the most appropriate sound effects. What does this mean? It means you have more control. You can use simple text prompts to guide the AI to generate a specific atmosphere or sound effect to meet personalized dubbing needs and avoid the AI from generating inappropriate sounds on its own.

3. 48kHz High-fidelity Audio Output

Sound quality is the lifeline of professional works. HunyuanVideo-Foley uses a self-developed 48kHz audio VAE (Variational Autoencoder), which can perfectly restore the details of sound effects, music, and human voices, achieving professional-grade audio generation quality. The output sound is no longer a blurry canned sound effect, but a clear and layered auditory feast.

Technology Unveiled: The Hybrid Architecture of HunyuanVideo-Foley

So, what kind of technology is driving this behind the scenes?

In short, HunyuanVideo-Foley uses a sophisticated hybrid architecture. It has two main types of Transformer modules inside:

• Multi-modal Transformer module: Responsible for simultaneously processing visual and audio information and establishing the relationship between the two.
• Uni-modal Transformer module: Focuses on refining and polishing the audio stream to ensure the purity and authenticity of the sound quality.

To allow the AI to learn quickly and well, the Tencent Hunyuan team has also established a comprehensive data processing pipeline. This pipeline automatically performs a series of operations such as scene detection, silent segment removal, and audio quality screening from a huge video database to ensure that the “textbooks” used to train the model are of the highest quality.

This complex system ensures that the sound effects generated by the AI not only sound real, but are also perfectly aligned with every frame of motion in the picture.

Data Speaks for Itself: Why It Can Surpass Existing Open Source Solutions

Empty words are no proof, the powerful performance of HunyuanVideo-Foley is supported by data. On several industry-recognized evaluation benchmarks (such as MovieGen-Audio-Bench and Kling-Audio-Eval), its performance has comprehensively surpassed all existing open source solutions.

These evaluation indicators cover multiple dimensions such as audio quality, visual semantic alignment, and time synchronization. HunyuanVideo-Foley is in a leading position in all scoring items, which proves that it has reached a new technical height in the accuracy and quality of generated sound effects.

Want to Try It Yourself? A Hands-on Guide to Getting Started

Seeing this, do you also want to experience its magic for yourself? As an open source project, anyone can download and use it. However, before you start, there is one thing you must know.

Hardware Requirements Reminder: This model has high hardware requirements. The official recommendation is that you need a GPU with at least 24GB of VRAM (such as NVIDIA RTX 3090 or 4090) to ensure stable operation. The model’s inference process requires about 20GB of VRAM, so hardware configuration is the first step to successful operation.

Once you have your high-end graphics card ready, you can get started with the following steps:

1. Clone the repository Clone the project code from GitHub to your computer.

   git clone https://github.com/Tencent-Hunyuan/HunyuanVideo-Foley.git
   cd HunyuanVideo-Foley
   

2. Set up the environment It is recommended to use Conda to create an independent Python environment, and then install the required dependencies.

   pip install -r requirements.txt
   

3. Download the pre-trained model The model weight files are hosted on Hugging Face, and you can download them via git-lfs or huggingface-cli.

   # Use git-lfs
   git clone https://huggingface.co/tencent/HunyuanVideo-Foley
   

After completing the above steps, you can start using it. It supports multiple usage methods:

• Single video generation: Generate sound effects for a single video file and text description.
• Batch processing: Process multiple videos through a CSV file.
• Interactive web interface: For users who are not familiar with the command line, the project also provides a Gradio-based graphical interface to make the operation more intuitive and simple.

The Next Milestone in Video Creation

The emergence of HunyuanVideo-Foley is not just the birth of a new tool, it also heralds that AI technology is profoundly changing the ecology of content creation. For the majority of creators, it lowers the threshold for professional sound effect production, allowing more people to create higher-quality works at a lower cost and in less time.

If you are interested in this project, you may wish to go to the link below to learn more about the technical details or deploy it yourself!

• Project Homepage: Click here to view
• GitHub Repository: Click here to go
• Hugging Face Model: Click here to download
• Research Paper: Click here to read

• Disclaimer: This article is for technical sharing only and does not constitute any investment or use advice. The content generated by the AI model may have deviations, please use it with caution.
• Copyright Statement: The copyright of the project and related resources belongs to the Tencent Hunyuan team.

**Source: https://github.com/Tencent-Hunyuan/HunyuanVideo-Foley **