Generate AI Videos with HappyHorse

HappyHorse is an open-source AI video generation model built on a 15-billion-parameter unified Transformer architecture. It generates cinema-quality 1080p video with synchronized audio in a single forward pass — meaning video and sound are created together, not stitched after the fact. You provide a text prompt, an image, or reference images, and HappyHorse handles the cinematography, motion, lighting, and audio automatically.

On the Artificial Analysis Video Generation Leaderboard — where real users judge outputs in blind comparisons — HappyHorse holds the #1 position in both Text-to-Video and Image-to-Video categories. It outperforms Seedance by ByteDance, Kling by Kuaishou, and Runway in blind user preference tests. Unlike most competitors, HappyHorse is fully open-source and can be self-hosted.

Yes. You can use HappyHorse for free on our platform with a generous daily generation quota. For heavier usage, we offer paid plans with higher limits and priority processing. Since HappyHorse is open-source, you can also download the model and run it on your own hardware (an NVIDIA H100 or A100 with 48GB+ VRAM is recommended) with zero usage fees.

HappyHorse supports phoneme-level lip-sync in 7 languages: English, Mandarin Chinese, Cantonese, Japanese, Korean, German, and French. The model achieves industry-leading low Word Error Rate across all supported languages, making it ideal for creating localized video content without manual dubbing.

HappyHorse generates video at up to 1080p resolution. It supports multiple aspect ratios out of the box — 16:9 (landscape), 9:16 (vertical/portrait), 4:3 (classic), 21:9 (ultrawide cinematic), and 1:1 (square) — so you can create content optimized for YouTube, TikTok, Instagram, cinema displays, or any other platform.

A 5-second 1080p clip generates in roughly 38 seconds on an NVIDIA H100 GPU. On our hosted platform, generation times may vary depending on current demand and your plan tier, but most clips are ready within a minute. The model uses an efficient 8-step denoising pipeline that doesn't require classifier-free guidance (CFG), keeping inference fast.

Absolutely. HappyHorse is released under a commercial-friendly open-source license. You can use generated videos in ads, product pages, social media campaigns, client work, and any other commercial context. If you self-host, there are no additional licensing fees or per-video charges.

Reference-to-Video lets you provide up to 3 reference images — for characters, environments, or styles — and tag them directly in your prompt. Unlike tools that treat reference images as loose style hints, HappyHorse uses them as precise creative anchors, maintaining character consistency and visual style across generated clips. This is especially useful for serialized content, brand storytelling, and multi-scene projects.

While AI video generation has advanced rapidly, there are honest limitations to be aware of. Text rendering in videos (signs, labels, on-screen text) can appear garbled. Complex physics simulations like realistic water dynamics or cloth draping remain challenging. Very long videos (over 10 seconds) may show consistency drift. And highly specific hand/finger movements are an ongoing area of improvement across all models, including HappyHorse.

For local deployment, we recommend an NVIDIA H100 or A100 GPU with at least 48GB of VRAM. The release includes the full base model (15B parameters), a distilled model for faster inference, a super-resolution module, and all inference code. If you don't have access to high-end GPUs, you can use our hosted platform — no special hardware needed.