How to Generate Videos with HunyuanVideo on DigitalOcean GPUs

The advent of text-to-video models has been one of the many AI miracles that came from the past year. From SORA to VEO-2, we have seen some truly incredible models hit the closed-source market. These models are capable of generating videos of all kinds, including photorealism, animation, professional-looking effects, and much more. Like everything else seemingly follows in Deep Learning, the open-source development community has followed the success of these closed-source models closely & open-source models are always trying to achieve the same video quality and prompt fidelity.

Recently, we have seen the release of two notable AI text-to-video models that are making waves like Stable Diffusion once did. These are specifically the LTX and HunyuanVideo text-to-video models. LTX’s low RAM requirements and HunYuan’s versatility and trainability have surged the popularity of text-to-video models to levels higher than ever.

In this series of articles, we will discuss how to use these incredible models on DigitalOcean’s NVIDIA GPU enabled GPU Droplets; first, by taking a deeper look at HunyuanVideo. Readers can expect to leave this first article with a firmer understanding of how HunyuanVideo and related next-generation text-to-video models work under the hood. After covering the underlying theory, we will provide a demo showing how to get started running the model.

Follow along to learn how to create your own incredible videos with HunyuanVideo and DigitalOcean.