WHAT IS HAPPY HORSE 1.0?

What is Happy Horse 1.0? — The Open-Source SOTA AI Video Model

The Open-Source #1 AI Video Generator

Happy Horse 1.0 is a groundbreaking open-source State-of-the-Art (SOTA) AI video generation model. With 15B parameters and a unified Transformer architecture, it supports text-to-video, image-to-video, and native joint audio generation—generating 5-second 256p videos in ~2 seconds and 1080p in ~38 seconds on H100 GPU. Fully open-source with custom fine-tuning support.

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.

Text-to-Video + Joint Audio

Generate 5–8 second videos with synchronized dialogue, ambient sounds, and Foley effects from a single text prompt. Native joint video-audio generation in one forward pass.

Image-to-Video Animation

Transform any uploaded image into dynamic video with enhanced facial preservation, physics-accurate motion synthesis, and smooth keyframe transitions.

Blazing Fast: ~2s for 256p, ~38s for 1080p

DMD-2 distillation reduces inference to just 8 denoising steps (no CFG). MagiCompiler acceleration delivers 256p videos in ~2 seconds, 1080p in ~38 seconds on H100.

7-Language Phoneme-Level Lip-Sync

Industry-leading Word Error Rate (WER) for lip synchronization across English, Mandarin, Cantonese, Japanese, Korean, German, and French. Natural speech with precise mouth movements.

100% Open Source — Self-Host & Fine-Tune

Base model, distilled model, super-resolution module, and inference code are fully open-sourced on GitHub & Model Hub. Complete customization for developers and enterprises.

15B Unified Transformer Architecture

A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one sequence. Sandwich architecture with 32 shared-parameter middle layers—no multi-stream complexity.

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 from a single prompt—all powered by a unified 15B parameter Transformer.

01Generate

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 (English, Mandarin, Cantonese, Japanese, Korean, German, French)—perfectly synchronized from frame one.

Text-to-Video + Native Audio Generation
Text-to-Video + Native Audio Generation
02Generate

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 from product shots to portraits.

Image-to-Video with Motion Synthesis
Image-to-Video with Motion Synthesis
03Generate

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. Sandwich architecture with modality-specific layers and 32 shared-parameter middle layers.

Unified 15B Transformer Architecture
Unified 15B Transformer Architecture
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 with full customization.

04Open

Blazing Fast: 8-Step DMD-2 Distillation

Only 8 denoising steps required with DMD-2 distillation—no CFG needed. Timestep-free denoising, per-head gating, and MagiCompiler acceleration deliver 256p videos in ~2 seconds, 1080p in ~38 seconds on H100.

05Open

100% Open Source — Fine-Tune & Self-Host

Base model, distilled model, super-resolution module, and inference code are all open-source (GitHub & Model Hub). Full customization potential for developers and enterprises to fine-tune and self-host.

06Open

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 for every generated video.

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—delivering SOTA quality at unprecedented speed.

01

15B Unified Transformer

A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one sequence—no traditional multi-stream complexity.

Latency <200ms

02

Sandwich Architecture

Modality-specific layers at the beginning and end, with 32 shared-parameter layers in the middle for efficient cross-modal understanding.

Streaming & batch

03

DMD-2 Distillation

Only 8 denoising steps required with no CFG needed. Timestep-free denoising and per-head gating enable blazing fast inference.

SSML & JSON flows

04

MagiCompiler Acceleration

Custom inference compiler delivers ~2 seconds for 256p 5-second videos and ~38 seconds for 1080p on H100 GPU.

Roles & audit logs

05

Native Joint Audio Generation

Video and audio generated together in a single forward pass—dialogue, ambient sounds, Foley effects, and phoneme-level lip-sync natively produced.

Watermarking

06

100% Open Source

Base model, distilled model, super-resolution module, and inference code fully available on GitHub and Model Hub for fine-tuning and self-hosting.

Regional routing

Why Choose Happy Horse 1.0?

The open-source SOTA model that combines cutting-edge performance, lightning speed, and full open-source freedom to make professional AI video generation accessible to everyone.

Open-Source SOTA — #1 on Video Arena Leaderboard

Happy Horse 1.0 rapidly climbed to the top of the Artificial Analysis Video Arena leaderboard, outperforming competitors like 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 and 60.9% vs LTX 2.3.

Blazing Fast — ~2s for 256p, ~38s for 1080p

DMD-2 distillation enables 8-step inference with no CFG required. MagiCompiler acceleration delivers 5-second 256p videos in ~2 seconds and 1080p in ~38 seconds on H100 GPU—30% faster than any competing model.

100% Open Source — Fine-Tune, Self-Host, Customize

Base model (15B params), distilled model, super-resolution module, and inference code are fully open-sourced on GitHub and Model Hub. Developers and enterprises can fine-tune, customize, and self-host with complete freedom.

Ready to Experience Happy Horse 1.0?

The #1 SOTA AI video generator—blazing fast, multilingual, fully open source.

Create stunning AI videos in ~2 seconds. Text-to-video, image-to-video with native audio sync.

Open Generator

Affordable plans for SOTA video generation with full commercial rights.

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Discover how Happy Horse 1.0's 15B parameter model delivers exceptional results.

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