Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
Happy Horse 1.0 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
Unified 40-Layer Transformer
ingle self-attention architecture with modality-specific projections in the first/last 4 layers and shared parameters across the middle 32 layers for seamless multimodal generation.
Arena Leaderboard Dominance
Ranked #1 in both Text-to-Video (Elo 1333) and Image-to-Video (Elo 1392) on Artificial Analysis Video Arena, surpassing Dreamina Seedance 2.0 by 60 and 37 points respectively.
Multilingual Audio-Video Generation
Native support for six languages (Chinese, English, Japanese, Korean, German, French) with claimed ultra-low WER lip-synchronization.
Joint Audio Synthesis
Generates dialogue, ambient sounds, and Foley effects alongside video in a single pass through unified token denoising—no separate audio pipeline required.
Dual T2V/I2V Pipeline
One unified model handles both text-to-video and image-to-video tasks, appearing under the same model name in both arena categories.
Rapid Inference Claims
Self-reported speeds of ~2 seconds for 5-second clips at 256p and ~38 seconds at 1080p on H100 hardware (unverified by third parties).
峰值速度
最低成本
| 模態 | 描述 | Status |
|---|---|---|
| HappyHorse-1.0 T2V API (Text To Video) | Transforms detailed text prompts into cinematic video sequences with claimed synchronized audio generation. Leverages unified Transformer architecture for joint video-audio synthesis. | Internal Beta / API Coming Soon |
| HappyHorse-1.0 I2V API (Image To Video) | Animates static images with fluid motion while maintaining visual consistency. Processes reference image latents jointly with text and audio tokens in unified sequence. | Internal Beta / API Coming Soon |
| HappyHorse-1.0 T2V+Audio API (Text to Video with Audio) | Generates complete audio-visual content from text alone — dialogue, environmental sounds, and Foley effects through unified token denoising. | Internal Beta |
| HappyHorse-1.0 I2V+Audio API (Image to Video with Audio) | Transforms still images into animated scenes with synchronized soundscapes — cinematic audio accompaniment generated in single forward pass. | Internal Beta |
Happy Horse 1.0 新功能 + 展示
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合，為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。
Cinematic Video Quality with HappyHorse-1.0 API
HappyHorse-1.0 won 80% of head-to-head matchups against Ovi 1.1 and nearly 61% against LTX 2.3 in blind user tests, with Visual Quality scoring 4.80 and Physical Consistency reaching 4.52. CTOL Digital Solutions Results are based on thousands of blind human-preference evaluations on the Artificial Analysis Video Arena.
Multilingual Audio Synchronization with HappyHorse-1.0 API
Native lip-sync across 7 languages — Mandarin, Cantonese, English, Japanese, Korean, German, and French — producing dialogue, ambient sound, and Foley effects alongside video without a separate audio pipeline.
Unified Multimodal Generation with HappyHorse-1.0 API
A single 40-layer self-attention Transformer processes text, image, video, and audio tokens in one unified sequence — with modality-specific layers at start and end, and 32 shared-parameter layers in the middle enabling seamless multimodal fusion.
Dynamic Motion Realism with HappyHorse-1.0 API
In Image-to-Video without audio, HappyHorse-1.0 leads with an Elo of 1402, with Seedance 2.0 at 1355 and Grok Imagine Video at 1331 WaveSpeedAI — reflecting consistent user preference in blind head-to-head comparisons.
Image-to-Video Animation with HappyHorse-1.0 API
The HappyHorse-1.0 API transforms static photographs into animated sequences — maintaining visual fidelity while introducing natural movement and claimed synchronized audio.
Rapid Inference with HappyHorse-1.0 API
Claimed specs include 15 billion parameters, a unified 40-layer self-attention Transformer, DMD-2 distillation to 8 denoising steps, and roughly 38 seconds for Ultra HD on a single H100. Cutout.Pro These figures are self-reported and have not been independently verified.
What You Can Do with HappyHorse-1.0
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
Professional Video Production with HappyHorse-1.0 API
The HappyHorse-1.0 API enables studios and creators to generate cinematic video content that achieved #1 rankings on the Artificial Analysis Video Arena leaderboard. Leveraging its 15B parameter unified architecture, the API delivers leaderboard-winning quality with natural motion and synchronized audio across six languages. Perfect for advertising agencies, film pre-visualization, and premium content creators requiring uncompromising video quality—when the model becomes publicly available.
Multilingual Content Creation with HappyHorse-1.0 API
For global brands and international creators, the HappyHorse-1.0 API generates video content with native audio in six languages including Chinese, English, Japanese, Korean, German, and French. It excels at producing culturally relevant content with claimed ultra-low WER lip-synchronization. This use case fits global marketing teams and international social media campaigns requiring authentic multilingual output.
Social Media Content Generation with HappyHorse-1.0 API
The HappyHorse-1.0 API allows marketers and influencers to rapidly produce engaging short-form video content with automatic audio generation. By processing creative concepts into polished video clips with synchronized sound including dialogue and Foley effects, it creates scroll-stopping content optimized for TikTok, Instagram Reels, and YouTube Shorts.
Creative Storytelling and Animation with HappyHorse-1.0 API
Transform creative visions into animated sequences through both text and image inputs — democratizing video production for independent creators and storytellers.
模型對比
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢，做出明智決策。
| Model | Input Types | Output Duration | Resolution | Audio Generation |
|---|---|---|---|---|
| HappyHorse-1.0 | Text, Image | 5–8s | 1024×1024 | √ |
| Seedance 2.0 | Text, Image | 4~15s | 1024×1024 | √ |
| Kling 3.0 | Text, Image | 3~15s | 256P~4K | √ |
| Wan-2.6 | Text, Image | 5s;10s;15s | 1080P, 720P | √ |
如何在 Atlas Cloud 上使用 Happy Horse 1.0
幾分鐘即可上手 — 按照以下簡單步驟，透過 Atlas Cloud 平台整合和部署模型。
建立 Atlas Cloud 帳戶
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度，用於探索平台和測試模型。
為何在 Atlas Cloud 使用 Happy Horse 1.0
將先進的 Happy Horse 1.0 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 Happy Horse 1.0、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
FAQ
As of April 2026, HappyHorse-1.0 is not publicly accessible. There is no public API, no downloadable weights, no documented pricing, and no SLA. The model exists as a leaderboard entry with verified quality signals from blind user votes, but practical access does not exist yet. Watch for GitHub repository releases, HuggingFace model cards, or API announcements to know when it becomes available.
The documentation describes base model, distilled model, super-resolution module, and inference code as released with commercial usage rights — but the GitHub README includes a warning that model weights and inference code are marked "coming soon." Documentation says released; download links say not yet. Cutout.Pro Treat open-source claims as pending verification until weights are publicly accessible.
The model claims Ultra HD output in approximately 38 seconds on a single H100 GPU, using 8-step denoising inference with no CFG required. OpenPR These figures are self-reported by the development team and have not been independently verified.
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Happy Horse 1.0
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