HunyuanVideo-Foley - Tencent Hunyuan Open Source Video Audio Generation Model

What is HunyuanVideo-Foley?

HunyuanVideo-Foley is an open-source end-to-end video audio generation model developed by Tencent's Hunyuan team. The model can generate high-quality audio effects that precisely match the video visuals based on the input video and text descriptions, solving the problem of missing audio effects in existing AI video generation. Trained on a large-scale, high-quality text-video-audio dataset, the model utilizes an innovative multimodal diffusion transformer architecture and representation alignment loss function to achieve powerful generalization capabilities, multimodal semantic equalization response, and professional-grade audio fidelity. It leads in performance on multiple benchmarks and is widely used in short video creation, film production, and other fields.

HunyuanVideo-Foley's main functions

• Automatically generate sound effectsBased on the input video and text description, it generates precisely matched sound effects for the video, giving silent AI videos an immersive auditory experience.
• Multi-scenario applicationsIt is applicable to various scenarios such as short video creation, film production, advertising creativity and game development, helping creators to efficiently generate scene-based sound effects and enhance the attractiveness and professionalism of their content.
• High-quality sound generationThe generated sound effects have professional-grade audio fidelity and can accurately reproduce various details and textures, such as the details of a car driving over a slippery road and the dynamic changes of an engine from idling to roaring, meeting the sound quality requirements of professional production.
• Multimodal semantic equalization responseIt can understand video footage and combine it with text descriptions to automatically balance different information sources and generate rich, layered composite sound effects. This avoids the problem of neglecting video semantics due to over-reliance on text semantics, ensuring that the sound effects are highly consistent with the overall scene.

The technical principles of HunyuanVideo-Foley

• Large-scale dataset constructionBased on automatically labeled and filtered audio and video data, a high-quality text-video-audio (TV2A) dataset of approximately 100,000 hours was constructed to provide strong data support for model training and enable the model to have strong generalization ability.
• Multimodal diffusion converter architectureUsing a dual-stream multimodal diffusion transformer (MMDiT) architecture, the frame-level alignment relationship between video and audio is modeled through a joint self-attention mechanism, and text information is injected through a cross-attention mechanism to solve the modality competition problem in multimodal data, thereby achieving accurate alignment between video, audio and text.
• Representation Alignment (REPA) Loss FunctionIt uses pre-trained audio features to provide semantic and acoustic guidance for the modeling process. By maximizing the cosine similarity between the pre-trained representation and the internal representation, it significantly improves the quality and stability of audio generation, effectively suppresses background noise and inconsistent sound effects, and ensures professional-grade audio fidelity.
• Audio VAE optimizationThe enhanced audio variational autoencoder (VAE) replaces the discrete audio representation with a continuous 128-dimensional representation, significantly improving audio reconstruction capabilities and further enhancing the quality of sound effect generation.

HunyuanVideo-Foley's project address

• Project official website: https://szczesnys.github.io/hunyuanvideo-foley/
• GitHub repositoryhttps://github.com/Tencent-Hunyuan/HunyuanVideo-Foley
• HuggingFace model libraryhttps://huggingface.co/tencent/HunyuanVideo-Foley
• arXiv technical paper: https://arxiv.org/pdf/2508.16930
• Experience the demo onlinehttps://huggingface.co/spaces/tencent/HunyuanVideo-Foley

Application scenarios of HunyuanVideo-Foley

• Short video creationIt can quickly generate matching sound effects for short videos, such as the sound of a pet running, to make the content more vivid.
• FilmmakingIt assists in the post-production sound design of movies, such as generating the roaring sounds of spaceships in science fiction films, thus improving production efficiency.
• Advertising CreativityGenerate sound effects such as engine roars for car advertisements to enhance their appeal and impact.
• Game developmentReal-time generation of game scene sound effects, such as birdsong when a character walks in a forest, enhances immersion.
• Online EducationAdd vivid sound effects to educational videos, such as the booming sound of a volcanic eruption, to enhance learning interest.