Happy Horse AI Video

HappyHorse 1.0, also known as Happy Horse AI, is described as a top-ranked 2026 AI video generation model built on a single-stream 40-layer Transformer with about 15B parameters. It supports text-to-video, image-to-video, and integrated audio-video generation with native 1080p HD output.

It supports text prompts, reference images, reference videos, and audio references, and up to 12 multimodal inputs can be combined to guide generation with precise control.

HappyHorse Lite supports up to 12 seconds, while HappyHorse 1.0 with paid access supports up to 15 seconds per generation.

Yes. It features integrated audio-video generation with precise lip-sync, ambient sound, and multi-language voiceover support in a single pass.

HappyHorse 1.0 averages approximately 10 seconds per generation, described as one of the fastest AI video models available.

It supports native 1080p HD output without upscaling, and lower resolutions such as 480p and 720p are also available.

The site recommends a repeatable prompt structure and consistent reference images. Its multimodal input lets users control subject, framing, camera movement, and style across renders.

Yes. Common creator workflows include ad variations, hooks testing, product hero shots, and explainers. Users can generate multiple variations fast and refine winners with targeted edits.

It consistently ranks #1 or top-2 on the Artificial Analysis Text-to-Video and Image-to-Video blind-test leaderboards, with the site claiming it outperforms competitors in motion quality, speed, and HD output.

Yes. Open-source releases include the base model, distilled model, super-resolution module, and inference code, supporting self-hosting, fine-tuning, and commercial use.