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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.

What is Happy Horse?

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.

Key Features

• 15B-parameter unified transformer architecture — natively processes text, image, video, and audio tokens for joint audio-video synthesis in a single model.
• 7-language ultra-low WER lip-sync — supports English, Mandarin, Cantonese, Japanese, Korean, German, and French with accurate lip movement synchronization.
• Fast 1080p generation in approximately 38 seconds — DMD-2 distillation reduces denoising to 8 steps with MagiCompiler acceleration for production-ready output.
• Open-source availability — model weights are accessible for research and customization, with no proprietary lock-in.
• Text-to-video and image-to-video modes — generate from text prompts or upload a first-frame image (max 5 MB) for image-to-video conversion.
• Credit-based subscription plans — annual, monthly, and one-time credit packs offer different usage levels; see pricing for details.
• Resolution options — output at 720p, 1080p, or 4K resolution.

Who is it for?

• Creators and filmmakers — turn storyboard scripts into visual drafts for client conversations without waiting for full production.
• Marketers and brand strategists — test ad concepts, product angles, and motion styles quickly before committing large budgets.
• Researchers and AI developers — experiment with an open-source video model for custom workflows and model fine-tuning.
• Designers and creative teams — generate internal pitch visuals and iterate on creative direction without full edit passes.

What can you do with Happy Horse?

• Storyboard rough cuts: Convert written scenes into visual drafts that accelerate alignment with clients, founders, or editors.
• Ad and social concept testing: Generate multiple video variants for hooks, product angles, and motion styles before production.
• Internal pitch visuals: Produce fast proof-of-concept videos to align teams on direction without waiting for a full edit.
• Reference-first iteration: Pair a prompt with an image to refine style and motion from a starting point, reducing creative drift.

Pricing

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.

FAQ

What is Happy Horse 1.0?

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.

How many languages does Happy Horse support for lip-sync?

Happy Horse supports seven languages: English, Mandarin, Cantonese, Japanese, Korean, German, and French, with ultra-low word error rate lip-sync synchronization.

Can I use Happy Horse for free?

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.

Is Happy Horse truly open-source?

Yes, the model weights are open-source and accessible for research and customization. The web application also offers a hosted generator for convenience.

How long does it take to generate a video?

Happy Horse 1.0 generates 1080p videos from text prompts in approximately 38 seconds, thanks to DMD-2 distillation and MagiCompiler acceleration.

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