Happyhorse

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Happy Horse 1.0 is an advanced open-source AI video generation model designed to produce high-quality 1080p videos with synchronized audio and multilingual lip-sync capabilities. Developed by the Happy Horse team in 2026, it utilizes a 15-billion-parameter unified Transformer architecture to jointly generate video frames and corresponding sound from text or image prompts. The model is fully open-source, including weights and inference code, and is designed for self-hosting with full commercial-use rights. It features a unique 40-layer self-attention network that ensures stable training and cinematic output, making it a powerful tool for professional video production and localized content creation.
Open-source 15B parameter AI model for joint video and synchronized audio generation.
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happyhorses.io/
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What is Happyhorse?

Open-source 15B parameter AI model for joint video and synchronized audio generation.

Happy Horse 1.0 is an advanced open-source AI video generation model designed to produce high-quality 1080p videos with synchronized audio and multilingual lip-sync capabilities. Developed by the Happy Horse team in 2026, it utilizes a 15-billion-parameter unified Transformer architecture to jointly generate video frames and corresponding sound from text or image prompts. The model is fully open-source, including weights and inference code, and is designed for self-hosting with full commercial-use rights. It features a unique 40-layer self-attention network that ensures stable training and cinematic output, making it a powerful tool for professional video production and localized content creation.

Core Features
Unified Transformer architecture for joint video and audio generation
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1080p high-definition cinematic output
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Multilingual lip-sync support for seven languages
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8-step DMD-2 distillation for accelerated inference
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Open-source weights and code with commercial-use permission
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Self-hostable on NVIDIA H100 or A100 GPUs
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Popular Use Cases
  • Creating social media and advertising video content with synchronized dialogue
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  • Generating cinematic b-roll with ambient sound and Foley
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  • Producing localized video content using native lip-sync in multiple languages
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  • Developing AI-driven video applications using open-source model weights
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Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • To use Happy Horse 1.0
  • users can clone the repository from GitHub
  • install the requirements via pip
  • and download the model weights. For generation
  • users can run the provided Python demo script with a text prompt and duration
  • or integrate the HappyHorseModel class into their own Python code to generate 1080p MP4 videos and WAV audio files.
Pricing
Happyhorse uses a freemium pricing model. Pricing and features may change over time.
Free
$0
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Pro
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Team
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Enterprise
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