Happy Horses
What is Happy Horses ?
HappyHorse 1.0 is the number one open-source AI video model in the Artificial Analysis Arena, based on a unified transformer architecture with 15 billion parameters and 40 layers, pioneering audio-video joint generation technology. The 8-step DMD-2 distillation inference does not require CFG, supporting text-to-video and image-to-video generation, with native output in 1080p/2K cinema-level quality. It features native lip synchronization in 7 languages (with the lowest WER of only 14.60%), a commercially friendly open-source license, supports FP8 quantization and single GPU deployment, making it the ultimate AI video solution for professional creators and teams.
- Recording time:2026-04-11
- Is it free:

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Happy Horses Core Features
Unified audio-video architecture (40-layer transformer jointly generates video frames and audio, not post-production synthesis)
8-step rapid inference (DMD-2 distillation + FP8 quantization, deployable on a single GPU, generating speed increased multiple times)
Native lip synchronization in 7 languages (Mandarin/Cantonese/English/Japanese/Korean/German/French, with a word error rate of 14.60%, the lowest in the industry)
Open-source for commercial use (the basic model/distillation model/super-resolution module/inference code are fully open-source, supporting fine-tuning and self-hosting)
Multi-modal input (text-to-video + image-to-video unified pipeline, supporting multi-shot storytelling and style transfer)
Happy Horses Subscription Plan
FAQ from Happy Horses
What is HappyHorse 1.0?
HappyHorse 1.0 is the number one open-source AI video generation model in the Artificial Analysis Arena, with Elo ratings of 1333-1357 (text-to-video) and 1391-1406 (image-to-video), surpassing Seedance 2.0 by nearly 60 points. Based on 15 billion parameters and a 40-layer unified transformer, it pioneers an audio-video joint generation architecture, producing 1080p/2K cinema-quality video with 8-step inference, making it the first open-source model to achieve true end-to-end audio-video joint pre-training.
How does HappyHorse compare to other video models?
Core differentiating advantages: 1) Unified architecture: A 40-layer single-stream self-attention transformer processes text/video/audio tokens simultaneously, with no cross-attention or modality subnetworks; 2) Joint generation: The first open-source end-to-end audio-video joint pre-training model synchronously generates dialogue/environmental sounds/foley with visuals; 3) Speed: DMD-2 distillation 8-step inference does not require CFG, combined with MagiCompiler runtime for ultra-fast generation; 4) Lip synchronization: 7 language support, with a WER of only 14.60%, far below competitors' 19%-40%; 5) Open-source: Fully open-source and commercially usable, supporting self-hosting and fine-tuning.
Is HappyHorse truly open-source?
Yes, it is completely open-source. The basic model, distillation model, super-resolution module, and inference code are all released under a commercially friendly license. Users can fine-tune, deploy, and commercialize on their own GPU infrastructure without worrying about licensing restrictions. It is currently the most powerful video generation model in the open-source community.
What languages are supported for lip synchronization?
Natively supports 7 languages: Mandarin, Cantonese, English, Japanese, Korean, German, and French. The word error rate (WER) is only 14.60%, far below the 19%-40% of other open-source alternatives. The model understands phonetic features of various languages, achieving natural speech coordination and expression performance.
What hardware is required to run HappyHorse?
Thanks to FP8 quantization and DMD-2 distillation optimization, HappyHorse 1.0 can be deployed and run on a single GPU. While large-scale production is recommended to use high-performance GPU clusters, individual creators and small teams can also run the open-source version locally on consumer-grade GPUs, significantly lowering the entry barrier.
What video resolutions and durations are supported?
Natively supports 1080p and 2K cinema-level resolutions, with a built-in super-resolution module for further enlargement. Video duration is flexibly adjustable, supporting various multi-shot narratives from short clips to complete scenes. Compared to other open-source models limited to 3-5 seconds, HappyHorse can generate longer and more coherent video content.
Can it be used for commercial projects?
Yes. The Pro, Max, and Ultra plans all include commercial use authorization. Since the model itself is open-source and under a commercially friendly license, you can deploy it on your own infrastructure for any commercial use without paying additional licensing fees.
What visual styles are supported?
From photorealistic to anime, cyberpunk to watercolor, HappyHorse supports a wide range of visual styles. The unified pipeline can handle various aesthetic directions; just describe the desired style in the prompt, and the model will adapt to generate matching visual representations.
How fast is the generation speed?
DMD-2 distillation technology reduces denoising to just 8 steps, eliminating the need for Classifier-Free Guidance, combined with MagiCompiler runtime optimizations, generating speed several times faster than traditional models. Most videos are completed within 5-9 minutes, supporting batch generation and rapid iteration.
Is there an API available?
The Ultra plan includes API access permissions, supporting batch export and integration into existing workflows. Developers can embed the powerful capabilities of HappyHorse into their own applications, automated pipelines, or commercial platforms to achieve scalable video production.
Alternative of Happy Horses

HappyHorse 1.0 is the number one AI video generator in the Artificial Analysis Video Arena, based on a unified Transformer architecture with 15 billion parameters. It supports text-to-video and image-to-video generation, natively producing 1080p HD videos with synchronized audio and quick generation with 8-step denoising. It features an original joint audio synthesis technology supporting native lip synchronization in six languages: Chinese, English, Japanese, Korean, German, and French, without the need for post-dubbing. Suitable for various scenarios such as social media content, product marketing, film previews, and e-commerce displays.

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