WHAT IS HAPPY HORSE 1.0?
What is Happy Horse 1.0? — The Open-Source SOTA AI Video Model
A groundbreaking open-source SOTA AI video generation model. 15B parameters and a unified Transformer architecture supporting text-to-video, image-to-video, and native joint audio generation.
HAPPY HORSE 1.0 CAPABILITIES
What Can Happy Horse 1.0 Do?
The open-source SOTA AI video model: 15B unified Transformer, text-to-video + image-to-video + native audio, 8-step inference, and full open-source freedom.
Native Audio-Video Sync
Joint generation produces perfectly synchronized dialogue, ambient sounds, and Foley effects.
7-Language Lip-Sync
Ultra-low WER lip-sync in English, Mandarin, Cantonese, Japanese, Korean, German, French.
Blazing Fast: ~38s for 1080p
DMD-2 distillation reduces denoising to just 8 steps without CFG. MagiCompiler accelerated inference delivers ~2s for 5-second 256p video, ~38s for 1080p on H100.
7-Language Ultra-Low WER Lip-Sync
Native support for English, Mandarin, Cantonese, Japanese, Korean, German, and French. Ultra-low Word Error Rate ensures natural, accurate lip movements.
Fully Open Source & Customizable
Complete open-source release: base model, distilled model, super-resolution module, and inference code. Self-host on your infrastructure. Fine-tune for custom use cases.
Unified Transformer Architecture
A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one unified sequence. Sandwich architecture with modality-specific layers at start/end and 32 shared-parameter layers in the middle. Per-head gating enables seamless multimodal fusion.
AI VIDEO GENERATION
Text-to-Video, Image-to-Video, and Native Audio
Generate 5-8 second videos with synchronized dialogue, ambient sounds, and multilingual lip-sync — all powered by a unified 15B parameter Transformer.
Text-to-Video + Native Audio Generation
Generate synchronized 5-8 second videos with dialogue, ambient sounds, and Foley effects directly from text prompts. Phoneme-level lip-sync across 7 languages — perfectly synchronized from frame one.
Image-to-Video with Motion Synthesis
Animate any uploaded image into dynamic video with enhanced facial preservation and physics-accurate movement. Smooth keyframe transitions and consistent visual quality.
Unified 15B Transformer Architecture
A single 40-layer unified self-attention Transformer processes text, image, video, and audio tokens in one sequence — no multi-stream complexity.
OPEN SOURCE FREEDOM
Fully Open — Customize, Fine-Tune, Self-Host
Base model, distilled model, super-resolution module, and inference code are 100% open-source. Deploy on your own infrastructure.
Blazing Fast: 8-Step DMD-2 Distillation
Only 8 denoising steps required with DMD-2 distillation — no CFG needed. MagiCompiler acceleration delivers 256p videos in ~2 seconds, 1080p in ~38 seconds on H100.
100% Open Source — Fine-Tune & Self-Host
Base model, distilled model, super-resolution module, and inference code are all open-source. Full customization potential for developers and enterprises.
Commercial Ready with Full Rights
Full commercial usage rights included. Enterprise-ready with SOC 2 compliant infrastructure, 99.9% uptime SLA, and end-to-end encryption.
HAPPY HORSE 1.0 TECHNOLOGY
How Does Happy Horse 1.0 Work?
A unified 15B-parameter Transformer with Sandwich architecture, DMD-2 distillation for 8-step inference, and MagiCompiler acceleration.
Unified Transformer Architecture
A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one unified sequence. Sandwich architecture with modality-specific layers at start/end and 32 shared-parameter layers in the middle. Per-head gating enables seamless multimodal fusion.
DMD-2 Distillation + MagiCompiler
DMD-2 distillation reduces denoising to just 8 steps without CFG. Timestep-free denoising and MagiCompiler accelerated inference deliver ~2s for 5-second 256p video, ~38s for 1080p on H100. The fastest open-source AI video model available.
Why Choose Happy Horse 1.0?
The open-source SOTA model that combines cutting-edge performance, lightning speed, and full open-source freedom.
Open-Source SOTA — #1 on Video Arena Leaderboard
Happy Horse 1.0 outperforms Seedance 2.0, Ovi 1.1, and LTX 2.3. Text-to-Video Elo ≈1336-1337, Image-to-Video Elo ≈1393, with 80% win rate vs Ovi 1.1.
Blazing Fast — ~2s for 256p, ~38s for 1080p
DMD-2 distillation enables 8-step inference with no CFG required. MagiCompiler delivers 256p in ~2 seconds and 1080p in ~38 seconds — 30% faster than competitors.
100% Open Source — Fine-Tune, Self-Host, Customize
Base model (15B params), distilled model, super-resolution module, and inference code are fully open-sourced. Complete freedom to customize and deploy.
Ready to Experience Happy Horse 1.0?
The #1 SOTA AI video generator — blazing fast, multilingual, fully open source.