HunyuanVideo: video generator — what it does and what you need to run it

HunyuanVideo is an open source video generator from Tencent that handles the text-to-video task. The tool is built on a diffusion-transformer and is designed to create videos from a text description.

What it does

The authors position the project as a system framework for generating video at large volume. Specific quality metrics or supported styles are not disclosed in the repository. The project tags indicate that it is based on diffusion-models and diffusion-transformer. The source code is written in Python and is available for study and modification.

What you need to run it

• Platform: as described by the author, an NVIDIA GPU with CUDA support is required.
• VRAM: the authors state minimum requirements of 60 GB for 720x1280 resolution (129 frames) and 45 GB for 544x960 (129 frames).
• License: the code and model weights are distributed under the Tencent Hunyuan Community License: commercial use is permitted, but not in the EU, the UK or South Korea.
• Model: available on Hugging Face, the code is on GitHub.

Who it suits

The tool targets researchers and developers with powerful compute resources. The 60 GB VRAM requirement for maximum resolution rules out most consumer GPUs. The project will be useful to those willing to work with open source, take the restrictions of the Tencent Hunyuan Community License into account and configure the environment. For a quick look there is a cloud version at aivideo.hunyuan.tencent.com — it cannot be run locally.

HunyuanVideo is interesting as an open implementation of a diffusion-transformer for video generation, but the high hardware barrier to entry and the restrictions of the Tencent Hunyuan Community License require attention before adopting it into a workflow.