Happy Horse

Happy Horse 1.0 is an open-source AI video generation model with 15 billion parameters. It uses a 40-layer self-attention Transformer architecture and supports native joint audio-video synthesis, so sound and picture are produced together rather than bolted on afterward. Thanks to DMD 2 distillation, it needs only 8 denoising steps, and the page says it can generate 1080p video in 38 seconds on an H100. It supports 7 languages with low lip-sync error rates, which matters for anything with speaking subjects. Because the model is fully open-source, you can self-host it and fine-tune it for your own scenarios instead of depending only on a hosted service.

- Generate 1080p video with native audio

- Run the model on your own hardware

- Fine-tune it for custom styles

- Produce video in 7 languages

- Use fast 8-step inference

- Developers and researchers studying video models

- Teams that need self-hosted generation

- Creators making multilingual video

- Studios exploring fine-tuning

The 38-second figure depends on an H100, so slower hardware means slower output and a different workflow. Self-hosting requires technical skill and a real compute budget, and it is not a plug-and-play option for beginners. Free trial and paid editions may change, and lip-sync quality varies by language and footage, so test your target language before you commit. Plan your hardware and storage before relying on the open-source version for regular production, since video files and model weights both take space. For best results, start with a small test file and review the output carefully before working on anything important.