Happy Horse is an open-source AI video model designed for teams that demand more than just demo-quality clips. With Happy Horse 1.0, you can transform text prompts or images into cinematic videos featuring synchronized audio, multilingual lip-sync, and production-ready motion. This model is built for practical workflows, enabling creators to generate concept videos, product stories, and creative tests with ease.
Key features include a 15B-parameter unified Transformer architecture with 40-layer self-attention, which natively processes text, image, video, and audio tokens for joint audio-video synthesis. This allows for seamless integration of audio and video, eliminating the need for post-production dubbing. Happy Horse 1.0 delivers 1080p production-ready videos from text prompts in approximately 38 seconds, thanks to DMD-2 distillation that reduces denoising to just 8 steps and MagiCompiler acceleration for industry-leading speed.
The model supports multiple languages, including English, Mandarin, Cantonese, Japanese, Korean, German, and French, with ultra-low word error rate lip-sync. This makes it ideal for creating multilingual video content without additional dubbing work. Whether you're a content creator, marketer, or researcher, Happy Horse offers a flexible and high-quality solution for video generation.
Use cases include turning written scenes into visual drafts for client conversations, generating product stories, and testing creative directions quickly. The model's open-source nature ensures accessibility and customization, allowing users to fine-tune it for specific needs. With strong benchmark results and practical capabilities, Happy Horse 1.0 stands out as a reliable tool for modern video generation, combining flexibility and quality without compromise.
video creators, content producers, marketing teams, product storytellers, creative agencies, multilingual content teams
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