WHAT IS HAPPY HORSE 1.0?
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.
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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.
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.
Transform any uploaded image into dynamic video with enhanced facial preservation, physics-accurate motion synthesis, and smooth keyframe transitions.
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.
Industry-leading Word Error Rate (WER) for lip synchronization across English, Mandarin, Cantonese, Japanese, Korean, German, and French. Natural speech with precise mouth movements.
Base model, distilled model, super-resolution module, and inference code are fully open-sourced on GitHub & Model Hub. Complete customization for developers and enterprises.
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.
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.
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.
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.
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.
Base model, distilled model, super-resolution module, and inference code are 100% open-source. Deploy on your own infrastructure with full customization.
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.
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.
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.
A unified 15B-parameter Transformer with Sandwich architecture, DMD-2 distillation for 8-step inference, and MagiCompiler acceleration—delivering SOTA quality at unprecedented speed.
A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one sequence—no traditional multi-stream complexity.
Latency <200ms
Modality-specific layers at the beginning and end, with 32 shared-parameter layers in the middle for efficient cross-modal understanding.
Streaming & batch
Only 8 denoising steps required with no CFG needed. Timestep-free denoising and per-head gating enable blazing fast inference.
SSML & JSON flows
Custom inference compiler delivers ~2 seconds for 256p 5-second videos and ~38 seconds for 1080p on H100 GPU.
Roles & audit logs
Video and audio generated together in a single forward pass—dialogue, ambient sounds, Foley effects, and phoneme-level lip-sync natively produced.
Watermarking
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
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.
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.
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.
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.
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 GeneratorAffordable plans for SOTA video generation with full commercial rights.
View PricingDiscover how Happy Horse 1.0's 15B parameter model delivers exceptional results.
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