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--- |
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library_name: hunyuanvideo-foley |
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license: other |
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license_name: tencent-hunyuan-community |
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license_link: https://huggingface.co/tencent/HunyuanVideo-Foley/blob/main/LICENSE |
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language: |
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- en |
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- zh |
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tags: |
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- text-to-audio |
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- video-to-audio |
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- text-video-to-audio |
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pipeline_tag: text-to-audio |
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extra_gated_eu_disallowed: true |
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--- |
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<div align="center"> |
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<img src="assets/logo.png" alt="HunyuanVideo-Foley Logo" width="400"> |
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<h4>Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation</h4> |
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<p align="center"> |
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<strong>Professional-grade AI sound effect generation for video content creators</strong> |
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</p> |
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<div align="center" style="margin: 20px 0;"> |
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<a href=https://github.com/Tencent-Hunyuan/HunyuanVideo-Foley target="_blank"><img src=https://img.shields.io/badge/Code-black.svg?logo=github height=22px></a> |
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<a href=https://szczesnys.github.io/hunyuanvideo-foley target="_blank"><img src=https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a> |
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<a href=https://huggingface.co/tencent/HunyuanVideo-Foley target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a> |
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<a href=https://huggingface.co/spaces/tencent/HunyuanVideo-Foley target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Demo-276cb4.svg height=22px></a> |
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<a href=https://arxiv.org/abs/2508.16930 target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a> |
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<a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a> |
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</div> |
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</div> |
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--- |
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<div align="center"> |
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### π₯ **Authors** |
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<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 20px; border-radius: 15px; margin: 20px 0;"> |
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**Sizhe Shan**<sup>1,2*</sup> β’ **Qiulin Li**<sup>1,3*</sup> β’ **Yutao Cui**<sup>1</sup> β’ **Miles Yang**<sup>1</sup> β’ **Yuehai Wang**<sup>2</sup> β’ **Qun Yang**<sup>3</sup> β’ **Jin Zhou**<sup>1β </sup> β’ **Zhao Zhong**<sup>1</sup> |
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</div> |
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<div style="margin-top: 15px; font-size: 14px; color: #666;"> |
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π’ <sup>1</sup>**Tencent Hunyuan** β’ π <sup>2</sup>**Zhejiang University** β’ βοΈ <sup>3</sup>**Nanjing University of Aeronautics and Astronautics** |
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*Equal contribution β’ β Project lead |
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</div> |
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</div> |
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--- |
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<!-- ## π₯ **Demo & Showcase** --> |
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<!-- <div align="center"> --> |
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<!-- > **Experience the magic of AI-generated Foley audio in perfect sync with video content!** --> |
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<!-- <div style="border: 3px solid #4A90E2; border-radius: 15px; padding: 10px; margin: 20px 0; background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);"> --> |
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<!-- <video src="https://github.com/user-attachments/assets/087a4b59-8b22-4b7a-bac3-8f5d5a9972fe" width="80%" controls style="border-radius: 10px; box-shadow: 0 8px 32px rgba(0,0,0,0.1);"> </video> --> |
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<!-- <p><em>π¬ Watch how HunyuanVideo-Foley generates immersive sound effects synchronized with video content</em></p> --> |
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<!-- </div> --> |
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### β¨ **Key Highlights** |
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<table align="center" style="border: none; margin: 20px 0;"> |
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<tr> |
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<td align="center" width="33%"> |
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π **Multi-scenario Sync** |
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High-quality audio synchronized with complex video scenes |
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</td> |
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<td align="center" width="33%"> |
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π§ **Multi-modal Balance** |
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Perfect harmony between visual and textual information |
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</td> |
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<td align="center" width="33%"> |
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π΅ **48kHz Hi-Fi Output** |
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Professional-grade audio generation with crystal clarity |
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</td> |
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</tr> |
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</table> |
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</div> |
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--- |
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## π **Abstract** |
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<div align="center" style="background: linear-gradient(135deg, #ffeef8 0%, #f0f8ff 100%); padding: 30px; border-radius: 20px; margin: 20px 0; border-left: 5px solid #ff6b9d; color: #333;"> |
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**π Tencent Hunyuan** open-sources **HunyuanVideo-Foley** an end-to-end video sound effect generation model! |
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*A professional-grade AI tool specifically designed for video content creators, widely applicable to diverse scenarios including short video creation, film production, advertising creativity, and game development.* |
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</div> |
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### π― **Core Highlights** |
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<div style="display: grid; grid-template-columns: 1fr; gap: 15px; margin: 20px 0;"> |
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<div style="border-left: 4px solid #4CAF50; padding: 15px; background: #f8f9fa; border-radius: 8px; color: #333;"> |
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**π¬ Multi-scenario Audio-Visual Synchronization** |
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Supports generating high-quality audio that is synchronized and semantically aligned with complex video scenes, enhancing realism and immersive experience for film/TV and gaming applications. |
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</div> |
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<div style="border-left: 4px solid #2196F3; padding: 15px; background: #f8f9fa; border-radius: 8px; color: #333;"> |
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**βοΈ Multi-modal Semantic Balance** |
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Intelligently balances visual and textual information analysis, comprehensively orchestrates sound effect elements, avoids one-sided generation, and meets personalized dubbing requirements. |
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</div> |
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<div style="border-left: 4px solid #FF9800; padding: 15px; background: #f8f9fa; border-radius: 8px; color: #333;"> |
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**π΅ High-fidelity Audio Output** |
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Self-developed 48kHz audio VAE perfectly reconstructs sound effects, music, and vocals, achieving professional-grade audio generation quality. |
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</div> |
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</div> |
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<div align="center" style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 15px; margin: 20px 0; color: #333;"> |
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**π SOTA Performance Achieved** |
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*HunyuanVideo-Foley comprehensively leads the field across multiple evaluation benchmarks, achieving new state-of-the-art levels in audio fidelity, visual-semantic alignment, temporal alignment, and distribution matching - surpassing all open-source solutions!* |
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</div> |
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<div align="center"> |
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*π Performance comparison across different evaluation metrics - HunyuanVideo-Foley leads in all categories* |
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</div> |
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--- |
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## π§ **Technical Architecture** |
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### π **Data Pipeline Design** |
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<div align="center" style="margin: 20px 0;"> |
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*π Comprehensive data processing pipeline for high-quality text-video-audio datasets* |
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</div> |
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<div style="background: #f8f9fa; padding: 20px; border-radius: 10px; border-left: 4px solid #17a2b8; margin: 20px 0; color: #333;"> |
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The **TV2A (Text-Video-to-Audio)** task presents a complex multimodal generation challenge requiring large-scale, high-quality datasets. Our comprehensive data pipeline systematically identifies and excludes unsuitable content to produce robust and generalizable audio generation capabilities. |
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</div> |
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### ποΈ **Model Architecture** |
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<div align="center" style="margin: 20px 0;"> |
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*π§ HunyuanVideo-Foley hybrid architecture with multimodal and unimodal transformer blocks* |
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</div> |
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<div style="background: #f8f9fa; padding: 20px; border-radius: 10px; border-left: 4px solid #28a745; margin: 20px 0; color: #333;"> |
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**HunyuanVideo-Foley** employs a sophisticated hybrid architecture: |
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- **π Multimodal Transformer Blocks**: Process visual-audio streams simultaneously |
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- **π΅ Unimodal Transformer Blocks**: Focus on audio stream refinement |
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- **ποΈ Visual Encoding**: Pre-trained encoder extracts visual features from video frames |
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- **π Text Processing**: Semantic features extracted via pre-trained text encoder |
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- **π§ Audio Encoding**: Latent representations with Gaussian noise perturbation |
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- **β° Temporal Alignment**: Synchformer-based frame-level synchronization with gated modulation |
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</div> |
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--- |
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## π **Performance Benchmarks** |
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### π¬ **MovieGen-Audio-Bench Results** |
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<div align="center"> |
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> *Objective and Subjective evaluation results demonstrating superior performance across all metrics* |
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</div> |
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<div style="overflow-x: auto; margin: 20px 0;"> |
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| π **Method** | **PQ** β | **PC** β | **CE** β | **CU** β | **IB** β | **DeSync** β | **CLAP** β | **MOS-Q** β | **MOS-S** β | **MOS-T** β | |
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|:-------------:|:--------:|:--------:|:--------:|:--------:|:--------:|:-------------:|:-----------:|:------------:|:------------:|:------------:| |
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| FoleyGrafter | 6.27 | 2.72 | 3.34 | 5.68 | 0.17 | 1.29 | 0.14 | 3.36Β±0.78 | 3.54Β±0.88 | 3.46Β±0.95 | |
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| V-AURA | 5.82 | 4.30 | 3.63 | 5.11 | 0.23 | 1.38 | 0.14 | 2.55Β±0.97 | 2.60Β±1.20 | 2.70Β±1.37 | |
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| Frieren | 5.71 | 2.81 | 3.47 | 5.31 | 0.18 | 1.39 | 0.16 | 2.92Β±0.95 | 2.76Β±1.20 | 2.94Β±1.26 | |
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| MMAudio | 6.17 | 2.84 | 3.59 | 5.62 | 0.27 | 0.80 | 0.35 | 3.58Β±0.84 | 3.63Β±1.00 | 3.47Β±1.03 | |
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| ThinkSound | 6.04 | 3.73 | 3.81 | 5.59 | 0.18 | 0.91 | 0.20 | 3.20Β±0.97 | 3.01Β±1.04 | 3.02Β±1.08 | |
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| **HunyuanVideo-Foley (ours)** | **6.59** | **2.74** | **3.88** | **6.13** | **0.35** | **0.74** | **0.33** | **4.14Β±0.68** | **4.12Β±0.77** | **4.15Β±0.75** | |
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</div> |
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### π― **Kling-Audio-Eval Results** |
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<div align="center"> |
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> *Comprehensive objective evaluation showcasing state-of-the-art performance* |
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</div> |
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<div style="overflow-x: auto; margin: 20px 0;"> |
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| π **Method** | **FD_PANNs** β | **FD_PASST** β | **KL** β | **IS** β | **PQ** β | **PC** β | **CE** β | **CU** β | **IB** β | **DeSync** β | **CLAP** β | |
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|:-------------:|:--------------:|:--------------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:-------------:|:-----------:| |
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| FoleyGrafter | 22.30 | 322.63 | 2.47 | 7.08 | 6.05 | 2.91 | 3.28 | 5.44 | 0.22 | 1.23 | 0.22 | |
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| V-AURA | 33.15 | 474.56 | 3.24 | 5.80 | 5.69 | 3.98 | 3.13 | 4.83 | 0.25 | 0.86 | 0.13 | |
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| Frieren | 16.86 | 293.57 | 2.95 | 7.32 | 5.72 | 2.55 | 2.88 | 5.10 | 0.21 | 0.86 | 0.16 | |
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| MMAudio | 9.01 | 205.85 | 2.17 | 9.59 | 5.94 | 2.91 | 3.30 | 5.39 | 0.30 | 0.56 | 0.27 | |
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| ThinkSound | 9.92 | 228.68 | 2.39 | 6.86 | 5.78 | 3.23 | 3.12 | 5.11 | 0.22 | 0.67 | 0.22 | |
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| **HunyuanVideo-Foley (ours)** | **6.07** | **202.12** | **1.89** | **8.30** | **6.12** | **2.76** | **3.22** | **5.53** | **0.38** | **0.54** | **0.24** | |
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</div> |
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<div align="center" style="background: linear-gradient(135deg, #4CAF50 0%, #45a049 100%); color: white; padding: 15px; border-radius: 10px; margin: 20px 0;"> |
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**π Outstanding Results!** HunyuanVideo-Foley achieves the best scores across **ALL** evaluation metrics, demonstrating significant improvements in audio quality, synchronization, and semantic alignment. |
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</div> |
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--- |
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## π **Quick Start** |
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### π¦ **Installation** |
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<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 15px; margin: 20px 0;"> |
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**π§ System Requirements** |
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- **CUDA**: 12.4 or 11.8 recommended |
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- **Python**: 3.8+ |
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- **OS**: Linux (primary support) |
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</div> |
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#### **Step 1: Clone Repository** |
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```bash |
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# π₯ Clone the repository |
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git clone https://github.com/Tencent-Hunyuan/HunyuanVideo-Foley |
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cd HunyuanVideo-Foley |
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``` |
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#### **Step 2: Environment Setup** |
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<div style="background: #fff3cd; padding: 15px; border-radius: 8px; border-left: 4px solid #ffc107; margin: 10px 0; color: #333;"> |
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π‘ **Tip**: We recommend using [Conda](https://docs.anaconda.com/free/miniconda/index.html) for Python environment management. |
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</div> |
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```bash |
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# π§ Install dependencies |
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pip install -r requirements.txt |
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``` |
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#### **Step 3: Download Pretrained Models** |
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<div style="background: #d1ecf1; padding: 15px; border-radius: 8px; border-left: 4px solid #17a2b8; margin: 10px 0; color: #333;"> |
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π **Download Model weights from Huggingface** |
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```bash |
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# using git-lfs |
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git clone https://huggingface.co/tencent/HunyuanVideo-Foley |
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# using huggingface-cli |
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huggingface-cli download tencent/HunyuanVideo-Foley |
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``` |
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</div> |
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--- |
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## π» **Usage** |
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### π¬ **Single Video Generation** |
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<div style="background: #e8f5e8; padding: 15px; border-radius: 8px; border-left: 4px solid #28a745; margin: 10px 0; color: #333;"> |
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Generate Foley audio for a single video file with text description: |
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</div> |
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```bash |
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python3 infer.py \ |
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--model_path PRETRAINED_MODEL_PATH_DIR \ |
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--config_path ./configs/hunyuanvideo-foley-xxl.yaml \ |
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--single_video video_path \ |
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--single_prompt "audio description" \ |
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--output_dir OUTPUT_DIR |
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``` |
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### π **Batch Processing** |
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<div style="background: #fff3e0; padding: 15px; border-radius: 8px; border-left: 4px solid #ff9800; margin: 10px 0; color: #333;"> |
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Process multiple videos using a CSV file with video paths and descriptions: |
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</div> |
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```bash |
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python3 infer.py \ |
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--model_path PRETRAINED_MODEL_PATH_DIR \ |
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--config_path ./configs/hunyuanvideo-foley-xxl.yaml \ |
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--csv_path assets/test.csv \ |
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--output_dir OUTPUT_DIR |
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``` |
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### π **Interactive Web Interface** |
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<div style="background: #f3e5f5; padding: 15px; border-radius: 8px; border-left: 4px solid #9c27b0; margin: 10px 0; color: #333;"> |
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Launch a user-friendly Gradio web interface for easy interaction: |
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</div> |
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```bash |
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export HIFI_FOLEY_MODEL_PATH=PRETRAINED_MODEL_PATH_DIR |
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python3 gradio_app.py |
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``` |
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<div align="center" style="margin: 20px 0; color: #333;"> |
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*π Then open your browser and navigate to the provided local URL to start generating Foley audio!* |
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</div> |
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--- |
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## π **Citation** |
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<div style="background: #f8f9fa; padding: 20px; border-radius: 10px; border-left: 4px solid #6c757d; margin: 20px 0; color: #333;"> |
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If you find **HunyuanVideo-Foley** useful for your research, please consider citing our paper: |
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</div> |
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```bibtex |
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@misc{shan2025hunyuanvideofoleymultimodaldiffusionrepresentation, |
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title={HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation}, |
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author={Sizhe Shan and Qiulin Li and Yutao Cui and Miles Yang and Yuehai Wang and Qun Yang and Jin Zhou and Zhao Zhong}, |
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year={2025}, |
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eprint={2508.16930}, |
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archivePrefix={arXiv}, |
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primaryClass={eess.AS}, |
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url={https://arxiv.org/abs/2508.16930}, |
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} |
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``` |
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--- |
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## π **Acknowledgements** |
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<div align="center"> |
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**We extend our heartfelt gratitude to the open-source community!** |
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</div> |
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<table align="center" style="width: 100%; border: none; margin: 20px 0;"> |
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<tr> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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π¨ **[Stable Diffusion 3](https://huggingface.co/stabilityai/stable-diffusion-3-medium)** |
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*Foundation diffusion models* |
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</td> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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β‘ **[FLUX](https://github.com/black-forest-labs/flux)** |
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*Advanced generation techniques* |
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</td> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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π΅ **[MMAudio](https://github.com/hkchengrex/MMAudio)** |
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*Multimodal audio generation* |
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</td> |
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</tr> |
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<tr> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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π€ **[HuggingFace](https://huggingface.co)** |
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*Platform & diffusers library* |
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</td> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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ποΈ **[DAC](https://github.com/descriptinc/descript-audio-codec)** |
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*High-Fidelity Audio Compression* |
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</td> |
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<td align="center" style="width: 33%; padding: 10px; vertical-align: top;"> |
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π **[Synchformer](https://github.com/v-iashin/Synchformer)** |
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*Audio-Visual Synchronization* |
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</td> |
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</tr> |
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</table> |
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<div align="center" style="background: linear-gradient(135deg, #74b9ff 0%, #0984e3 100%); color: white; padding: 20px; border-radius: 15px; margin: 20px 0;"> |
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**π Special thanks to all researchers and developers who contribute to the advancement of AI-generated audio and multimodal learning!** |
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</div> |
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--- |
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<div align="center" style="margin: 30px 0;"> |
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### π **Connect with Us** |
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[](https://github.com/Tencent-Hunyuan) |
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[](https://twitter.com/TencentHunyuan) |
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[](https://hunyuan.tencent.com/) |
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<p style="color: #666; margin-top: 15px; font-size: 14px;"> |
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Β© 2025 Tencent Hunyuan. All rights reserved. | Made with β€οΈ for the AI community |
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</p> |
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</div> |
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