HappyHorse

Overview

Happy Horse 1.0 is a state-of-the-art open-source AI video generator designed to turn text prompts or images into production-quality 1080p videos with perfectly synchronized audio. Built around a 15B-parameter unified 40-layer self-attention Transformer, it redefines the video generation pipeline by jointly synthesizing video and audio in a single pass. This groundbreaking architecture enables realistic dialogue, ambient sounds, and Foley effects without any post-production dubbing, making it a complete solution for modern content creation.

At the core of Happy Horse 1.0 lies a unified multimodal Transformer that processes text, image, video, and audio tokens in one sequence. A sandwich architecture with modality-specific layers at both ends and 32 shared-parameter layers in the middle, combined with per-head gating, ensures seamless multimodal fusion. The model leverages DMD-2 distillation to reduce denoising to just 8 steps without classifier-free guidance, while MagiCompiler accelerated inference delivers ~2 seconds for a 5-second 256p video and ~38 seconds for 1080p on H100 hardware.

The model is fully open source, including the base model, distilled model, super-resolution module, and inference code. It supports self-hosting, fine-tuning, and commercial usage rights. Happy Horse 1.0 also delivers ultra-low WER lip-sync across 7 languages—English, Mandarin, Cantonese, Japanese, Korean, German, and French—ensuring natural and accurate mouth movements for multilingual content. Flexible generation modes include text-to-video and image-to-video, with multiple aspect ratios and clip lengths.

As the #1 ranked model on the Artificial Analysis Video Arena for both T2V and I2V, Happy Horse 1.0 has earned trust from over 1 million creators worldwide. It is an ideal choice for filmmakers, marketing teams, e-commerce brands, and studios seeking fast, scalable, and customizable AI video production with cinematic quality.

Core capabilities

Native Joint Audio-Video Synthesis

Generates dialogue, ambient sounds, and Foley effects simultaneously with video using a single unified model, eliminating dubbing work.

15B-Parameter Unified Transformer

A 40-layer self-attention architecture processes text, image, video, and audio tokens in one sequence, enabling high-quality multimodal generation.

DMD-2 Distillation

Reduces denoising to only 8 steps without classifier-free guidance, making generation significantly faster while preserving quality.

Blazing Fast Generation

Achieves ~2s for 5-second 256p video and ~38s for 1080p on H100 via MagiCompiler accelerated inference.

7-Language Ultra-Low WER Lip-Sync

Supports English, Mandarin, Cantonese, Japanese, Korean, German, and French with natural, accurate lip movements.

Text-to-Video and Image-to-Video

Create videos from detailed text descriptions or transform images into high-physical-realism video scenes.

Fully Open Source & Customizable

Includes base model, distilled model, super-resolution module, and inference code for self-hosting and fine-tuning with commercial usage rights.

Flexible Output Options

Offers multiple aspect ratios (16:9, 9:16, 4:3, 21:9, 1:1) and resolutions up to 1080p for various content formats.

Camera Control and Advanced Settings

Users can lock camera movement and enable additional audio generation options for refined outputs.

Use cases

Creating multi-shot narrative videos with consistent characters for filmmaking

Transforming product images into dynamic promotional videos for e-commerce

Generating multilingual marketing videos with accurate lip-sync

Producing cinematic short films from a single text prompt

Enabling image-to-video motion for creative storytelling and art projects

Building motion graphics and visual effects for studio pipelines

Rapid prototyping of video concepts for client pitches and presentations