HunyanVideo - A 1.3-billion-parameter open-source video generation model by Tencent.

## Parameter Size of HunyanVideo HunyanVideo has **1.3 billion parameters**, making it the largest open-source video generation model available. ## Technical Features of HunyanVideo Key features include: - **Hyper-realistic video quality** - **High semantic consistency** (text-to-video alignment) - **Smooth motion generation** - **Native shot transitions** - Uses a **multimodal large language model (MLLM)** for text encoding, improving image-text alignment. - Employs **3D VAE** for spatiotemporal compression to enhance efficiency. ## Access Methods for HunyanVideo Users can access HunyanVideo through: - **GitHub** and **Hugging Face** (for model weights, inference code, and algorithms). - **Tencent Yuanbao APP** (to apply for a trial). - **Tencent Cloud API** (for developers to integrate into systems). The model is also integrated into the **Diffusers library** for easier deployment. ## Hardware Requirements for HunyanVideo HunyanVideo requires **45GB of GPU memory** for optimal performance, making it resource-intensive and less suitable for real-time generation on low-end hardware. ## Commercial Applications of HunyanVideo Primary use cases include: - **Advertising video production** - **Creative short-form video generation** - **Educational and entertainment content creation** It supports resolutions like 720p (720x1280px) and 540p (544x960px), with up to 129 frames per video. ## Hardware Requirements for HunyanVideo Limitations include: - **High GPU memory demand** (45GB), limiting accessibility for small-scale developers. - **Non-real-time generation**, making it unsuitable for instant video synthesis. - Performance trade-offs between quality and computational resources. ## Comparison with Other Video Generation Models HunyanVideo surpasses competitors like: - **Mochi** (1 billion parameters) - **CogVideoX** (500 million parameters) Its **1.3B parameters** and **dual-stream Transformer architecture** provide superior text-video alignment and motion quality. ## Recent Updates to HunyanVideo Notable updates (as of 2025): - **FP8 model weights** (reduced GPU memory usage). - **Integration with Diffusers library** for easier deployment. - **Parallel inference code** (xDiT-based) for efficiency. - **Penguin Video Benchmark** for quality evaluation. ## Open-Source Status of HunyanVideo Yes. The model weights, inference code, and algorithms are **publicly available** on GitHub and Hugging Face under open-source licenses. ### Citation sources: - [HunyanVideo](https://huggingface.co/tencent/HunyanVideo) - Official URL Updated: 2025-04-01