HappyHorse 1.0

HappyHorse 1.0 is a new-generation 15B parameter multi-modal AI audio and video generation model developed by Alibaba ATH Innovation Department. Adopting an innovative single-stream unified Transformer architecture, it eliminates the flaws of separate audio and video generation in traditional AI video models. It realizes integrated token processing for text, image, video and audio modalities, serving as a leading end-to-end audio-video collaborative generation tool in the industry. Abandoning the tedious process of segmented production and post-splicing, the model outputs high-definition videos, human voice dialogues and ambient sound effects through a single inference. It fundamentally solves industrial pain points such as audio-video misalignment and inconsistent lip movements, greatly simplifying the video creation workflow. In terms of core functions, the model fully covers mainstream AI video creation scenarios, supporting four core capabilities: text-to-video, image-to-video, reference-based customized generation and intelligent video editing, adapting to the whole process of short video creation. It natively supports 1080P high-definition video output and mainstream aspect ratios including 16:9, 9:16 and 1:1, with a generating duration ranging from 3 to 15 seconds, meeting the standards of daily and commercial video production. Equipped with the DMD-2 distillation algorithm, 8-step ultra-fast denoising technology and self-developed MagiCompiler inference acceleration optimization, it boosts generation efficiency by 3 to 5 times compared with traditional diffusion models. A single H100 device can quickly generate high-definition videos with balanced speed and stable image quality. Its core differentiated advantage is the accurate multi-language lip-sync capability, supporting 7 mainstream languages including Mandarin, Cantonese, English, German and French with a much lower word error rate than similar products, ensuring highly consistent lip movements and natural visual effects. It ranks first in both text-to-video and image-to-video tracks on the authoritative global AVA evaluation list, outperforming many mainstream industrial models. Widely applicable, it adapts to e-commerce product promotion, digital human short videos, self-media content creation, multilingual teaching clips and creative film production. With the strengths of efficient generation, superior image quality and perfect audio-video synchronization, it has become a highly cost-effective and practical AI audio-video generation tool.