About HappyHorses.io
Happy horse 1.0 is an open-source AI video generation model for producing synchronized video and audio from text or image prompts.Built as a unified multimodal 15B-parameter transformer, it jointly generates frames and aligned dialogue/ambient sound with native lip-sync support for seven languages (English, Mandarin, Cantonese, Japanese, Korean, German, French).
Released artifacts include base and distilled checkpoints, a super-resolution module, and inference code with commercial-use permissions for self-hosting, fine-tuning, and deployment.Outputs target 1080p short clips (5–8s) in common aspect ratios (16.9, 9.16), suitable for social, advertising, and short-form cinematic workflows.
Runtime optimizations—8-step distillation and FP8 quantization—reduce memory and accelerate inference for single-GPU deployment on NVIDIA H100/A100 (≥48 GB VRAM recommended).Benchmarks report improved prompt alignment and lower word error rate versus comparable open models; typical users include researchers, developers, content creators, and post-production teams seeking reproducible, self-hosted generative video pipelines.
Key Features
Use Cases
Who is it for?
Released artifacts include base and distilled checkpoints, a super-resolution module, and inference code with commercial-use permissions for self-hosting, fine-tuning, and deployment.Outputs target 1080p short clips (5–8s) in common aspect ratios (16.9, 9.16), suitable for social, advertising, and short-form cinematic workflows.
Runtime optimizations—8-step distillation and FP8 quantization—reduce memory and accelerate inference for single-GPU deployment on NVIDIA H100/A100 (≥48 GB VRAM recommended).Benchmarks report improved prompt alignment and lower word error rate versus comparable open models; typical users include researchers, developers, content creators, and post-production teams seeking reproducible, self-hosted generative video pipelines.
Key Features
- Open-source unified multimodal 15B-parameter transformer that jointly generates video frames and aligned audio (dialogue/ambient) from text or image prompts
- Native lip-sync support for seven languages: English, Mandarin, Cantonese, Japanese, Korean, German, French
- Released artifacts including base and distilled checkpoints, a super-resolution module, and inference code with commercial-use permissions for self-hosting, fine-tuning, and deployment
- Generates 1080p short clips (5–8s) in common aspect ratios (16:9, 9:16)
- Runtime optimizations (8-step distillation and FP8 quantization) enabling single-GPU inference on NVIDIA H100/A100 (≥48 GB VRAM recommended)
Use Cases
- Produce professional 1080p short promotional videos with native lip‑synced multilingual voiceovers using Happy Horse 1.0 on a single GPU, enabling marketers to self‑host, fine‑tune brand voices, and quickly create localized ad variations
- Create multilingual educational explainer videos by providing text or image prompts to Happy Horse 1.0 to generate synchronized audio‑video lectures with accurate lip‑sync and super‑resolution for clear on‑screen instructors, simplifying course localization and distribution
- Localize and dub indie films, game trailers, or social content by generating aligned multilingual audio and lip‑synced video with Happy Horse 1.0, self‑hosting to preserve privacy and fine‑tuning voice/style for character consistency while keeping inference on a single GPU
Who is it for?
- Software developers
- Content creators
- Video producers
- Machine learning engineers
- Marketing managers
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