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.
- Creating social media and advertising video content with synchronized dialogue
- Generating cinematic b-roll with ambient sound and Foley
- Producing localized video content using native lip-sync in multiple languages
- Developing AI-driven video applications using open-source model weights
- 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.
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