Happy Horse

It is a top-ranked 2026 AI video generation model built on a single-stream 40-layer Transformer architecture with ~15B parameters, supporting 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 you can combine up to 12 multimodal inputs 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.

It averages approximately 10 seconds per generation.

It supports native 1080p HD output with no upscaling required, and lower resolutions (480p, 720p) are also available.

Use a repeatable prompt structure and consistent reference images; multimodal input lets you control subject, framing, camera movement, and style across renders.

Yes; common creator workflows include ad variations, hooks testing, product hero shots, and explainers, and you can generate multiple variations fast then 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, outperforming competitors in motion quality, speed, and HD output.

Yes; it offers open-source releases including the base model, distilled model, super-resolution module, and inference code, supporting self-hosting, fine-tuning, and commercial use.