Happy Horse 1.0 AI 视频生成器竞技场排名第一的文生/图生视频模型
在 Topview 中体验 Happy Horse 1.0 —— Artificial Analysis Arena 排名最高的 AI 视频模型。生成带有同步音效的电影级 1080p 视频，支持多镜头叙事以及基于文本或图像提示词的 7 种语言对嘴。立即免费试用。
Happy Horse 1.0 生成样例
由 Happy Horse 1.0 真实生成的视频 — 音视频一次性同步生成。
“一个小朋友在拍照 — 自然光线下捕捉的真实瞬间和自然表情。”
“一颗橡皮筋球沿着楼梯弹跳而下，每一次撞击都充满变数；球猛地左转冲进一间卫生间，在瓷砖上反复反弹，最终落进马桶里。没有人去把它捡出来。”
核心摘要 (TL;DR)
Happy Horse 1.0 是排名第一的 AI 视频生成模型（2026 年 4 月），拥有 15B 参数，支持音画联合输出、7 种语言对嘴且完全开源。约 38 秒生成 1080p 视频。在 Topview 上与其他领先 AI 视频模型一起免费试用。
Happy Horse 1.0 的优势领域
Happy Horse 1.0 在 Artificial Analysis Arena 的文生视频和图生视频领域均处于领先地位。这些案例展示了它在实际制作工作流中最重要的优势。
多镜头叙事
生成连贯的多镜头序列，保持角色一致性、场景转换和叙事流，这是单镜头模型无法比拟的。
"以角色为主导的生活方式瞬间，展示现代环境中的时尚主体。使用自然的身体动作、柔和的前卫时尚灯光、轻盈的织物运动，以及平滑的手持或跟踪镜头，使主体保持表现力、精致感且符合品牌调性。"
高保真视觉质量
提供优质的视觉输出，具有锐利的表面细节、准确的反射、流畅的动作和电影级光效，足以胜任专业制作流程。
"优质产品商业广告，主角产品位于黑暗的工作室中心。使用平滑的推近镜头、微妙的轨道运动、光滑的反射、受控的高光衰减，以及保持产品在整个镜头中始终清晰和突出的干净奢华广告节奏。"
音画同步生成
单次前向传播即可生成带有同步对话、环境音和音效的视频，无需单独的音频后期制作。
"具有浓厚氛围、分层深度和目的性场景移动的短篇电影级品牌序列。强调忧郁的灯光、故事驱动的构图、稳定的前进动力，以及感官强烈但不失清晰度的优质商业色调。"
快速电影级制作
在 H100 GPU 上通过 DMD-2 蒸馏仅需 8 个去噪步骤，约 38 秒即可生成 1080p 视频，比同类模型快 30%。
"具有夸张美术指导、强烈视觉对比和趣味电影动作的风格化概念短片。保持世界设计的一致性，同时使用干净的跟踪移动、独特的纹理和充满想象力的基调，适合概念先导片或社交媒体钩子。"
Happy Horse 1.0 Arena Rankings
#1 across all categories on the Artificial Analysis Video Arena, based on 3,000+ blind human preference tests.
Text-to-Video
100+ Elo points ahead of Seedance 2.0 (#2 at 1,273). The gap between #2 and #10 is only ~50 points — Happy Horse's lead is a tier above the field.
Image-to-Video
All-time record Elo score on the Image-to-Video Arena, surpassing every closed-source and open-source model tested.
With Audio
First place in joint video + audio generation, outperforming Google Veo 3.1 and ByteDance Seedance 2.0.
Source: Artificial Analysis Video Arena, April 2026. Rankings based on blind human preference tests where users vote without knowing which model generated each video.
Happy Horse 1.0 Blind Test Results
Real comparisons from the Artificial Analysis Video Arena. Users vote without knowing which model generated each video.
“A retro, 70s Urban Grit style scene shows a lone astronaut wandering through a desolate Martian landscape with a blood-red sky.”
Happy Horse captures the full-body walking cycle with realistic foot contact and cinematic wide shot, while the competitor resorts to a static close-up.
“A politician in her early 50s speaks at a press conference, with flashing cameras and reporters typing furiously.”
Happy Horse delivers dynamic multi-person motion with camera flashes, while the competitor shows a static wide shot lacking the energy described in the prompt.
“A craftsman focused at work in a quiet workshop, camera slowly pulling in to reveal fine detail on the subject's face.”
Happy Horse preserves realistic facial textures on close-up, while the competitor produces overly smooth skin that breaks the realism.
What the AI Community Is Saying
Industry leaders and media are taking notice of Happy Horse 1.0's unprecedented arena performance.
"happy horse is insanely happy."
"The gap is staggering — a tier-breaking lead of 100+ Elo points. From #2 to #10, the total spread is only about 50 points."
"Happy Horse First Output. This model beats Seedance 2 on Artificial Analysis..."
Who Built Happy Horse 1.0?
Built by the Future Life Lab of Taotian Group (Alibaba), led by the architect of Kuaishou's Kling models.
Zhang Di
Head of Future Life Lab, Taotian Group (Alibaba)
Zhang Di is the technical lead behind Happy Horse 1.0. He previously served as Vice President of Technology at Kuaishou, where he architected the Kling 1.0 and 2.0 video generation models. Before that, he spent a decade at Alibaba as Senior Technical Expert leading large-scale ML infrastructure. He holds a Master's degree from Shanghai Jiao Tong University.
Career Timeline
Senior Technical Expert, Alibaba
Led large-scale data and ML engineering for Alibaba Mama (ad platform)
VP of Technology, Kuaishou
Architected Kling 1.0 and 2.0 video generation models
Head of Future Life Lab, Taotian Group
Leading Happy Horse 1.0 development at Alibaba
Happy Horse 1.0 is developed by the Future Life Lab at Taotian Group, part of the Alibaba ecosystem. The team focuses on next-generation multimodal AI for content creation and commerce.
Happy Horse 1.0 实战演示
查看 Happy Horse 1.0 在真实测试中的表现，以及它与其他领先 AI 视频模型的对比。
Happy Horse 1.0 质量评测
深入了解 Happy Horse 1.0 的动作质量、面部表情和电影级输出。
Happy Horse 1.0 速度测试
测试生成速度 —— 8 秒的图生视频片段大约需要 100 秒。
2026 AI 视频模型对比
与 Seedance 2.0、Kling 3.0 及其他领先模型的并排对比。
