Happy Horse
Open-source 15B parameter AI model for joint video and synchronized audio generation.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Sep 02, 2026
Overview
What is Happy Horse?
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.
What is Happy Horse used for?
Tags
Top Features
- Unified Transformer architecture for joint video and audio generation
- 1080p high-definition movie-quality image output
- Multi-language lip-syncing function supporting seven languages
- Accelerated inference using 8-step DMD-2 distillation technology
- Open source weights and code, commercial use allowed
- Supports private deployment on NVIDIA H100 or A100 GPUs
How to use Happy Horse?
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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Pros & Cons
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Use Cases
- 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
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