HappyHorse is an advanced, open-source AI video generator that jointly synthesizes high-quality 1080p video and synchronized audio in a single pass. If you have ever struggled with clunky workflows that generate silent footage and then bolt sound on afterward, this model changes the game: it integrates text, video, and audio tokens simultaneously through a 40-layer Transformer architecture, so every clip comes out with audio that already matches the visuals, with no post-processing required.
Flexibility is built in. HappyHorse supports both text-to-video and image-to-video workflows, letting you start from a written idea or bring a still image to life. It also features native 7-language lip-sync capability, so characters can speak naturally across different languages without extra tooling.
Despite its power, the model is remarkably efficient. Thanks to DMD-2 distillation, it achieves high-quality results in just 8 inference steps, making it practical for single-GPU deployment rather than demanding a cluster of hardware. This means creators, developers, and small teams can run it locally and iterate quickly.
The quality speaks for itself: HappyHorse is ranked #1 on the Artificial Analysis Arena for its performance and prompt adherence, reflecting how faithfully it follows your instructions while delivering polished, coherent results.

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