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Happy Horse is an open-source AI video model for text-to-video and image-to-video creation. Explore Happy Horse 1.0 with joint audio-video generation, multilingual lip-sync, and fast 1080p output.
happyhourse.com (powered by turbo0)
happyhourse.com (powered by turbo0)
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Happy Horse is an open-source AI video model for text-to-video and image-to-video creation, offering joint audio-video generation, multilingual lip-sync, and fast 1080p output through Happy Horse 1.0.
Happy Horse is an open-source AI video model developed by the Happy Horse team. It takes text prompts or reference images as input and generates cinematic videos with synchronized audio. Happy Horse 1.0, the current release, is accessible via the web application at happyhourse.com, which provides a generator interface, account management, and credit-based access. The model is built on a 15-billion-parameter unified transformer architecture that jointly processes text, image, video, and audio tokens.
Happy Horse operates on a credit-based model with three subscription tiers: Basic, Standard, and Pro — each available as annual or monthly billing — plus one-time credit packs (Starter, Creator, Professional). Annual plans offer a 50% discount compared to monthly billing. All plans include no-watermark outputs and unlimited downloads.
Happy Horse 1.0 is the current major release of the open-source AI video model, featuring joint audio-video generation, multilingual lip-sync, and fast 1080p output in approximately 38 seconds.
Happy Horse supports seven languages: English, Mandarin, Cantonese, Japanese, Korean, German, and French, with ultra-low word error rate lip-sync synchronization.
Happy Horse is not free; it requires a credit-based subscription or one-time credit pack. Check the pricing page for current plans and any introductory offers.
Yes, the model weights are open-source and accessible for research and customization. The web application also offers a hosted generator for convenience.
Happy Horse 1.0 generates 1080p videos from text prompts in approximately 38 seconds, thanks to DMD-2 distillation and MagiCompiler acceleration.