New SOTA Video Generator

HAPPYHORSE
1.0 AI

A state-of-the-art AI Video Generator that jointly generates video and audio from text — blazing fast, multilingual, fully open source.

15B
Parameters
2s
256p · 5-Sec Clip
80%
Win vs Ovi 1.1
6
Languages
8
Denoising Steps

One model. Text, video
and audio — unified.

HappyHorse 1.0 replaces multi-stream complexity with a single self-attention Transformer, achieving state-of-the-art results at record speeds.

Single-Stream Architecture

40-layer Transformer processes text, video, and audio via self-attention only. No cross-attention, no complexity.

Human-Centric Quality

Expressive facial performance, natural speech coordination, realistic body motion, accurate sync.

Blazing Fast Inference

5-second 256p video in 2 seconds. 5-second 1080p in 38 seconds — on a single H100.

State-of-the-Art Results

80.0% win rate vs Ovi 1.1 and 60.9% vs LTX 2.3 across 2,000 human evaluations.

Multilingual

Chinese, English, Japanese, Korean, German, and French — natively supported.

Fully Open Source

Base model, distilled model, super-resolution model, and inference code — all released.

Benchmarks that
speak for themselves.

Leads on word error rate while matching or exceeding peers on all quality axes.

Model Visual Quality ↑ Text Align ↑ Physical ↑ WER ↓
Ovi 1.1 4.73 4.10 4.41 40.45%
LTX 2.3 4.76 4.12 4.56 19.23%
HappyHorse 1.0 4.80 4.18 4.52 14.60%
Human Eval · vs Ovi 1.1
80.0%
Win rate across 2,000 human evaluations
Human Eval · vs LTX 2.3
60.9%
Win rate across 2,000 human evaluations
256p
2.0 s
total
540p
8.0 s
with super-res
1080p
38.4 s
full quality
🇨🇳 Mandarin 🇭🇰 Cantonese 🇬🇧 English 🇯🇵 Japanese 🇰🇷 Korean 🇩🇪 German 🇫🇷 French
老张来了 @laozhang2579
𝕏

HappyHorse 盲测超越 Seedance 2.0 登顶第一👑 Artificial Analysis 突然冒出一匹黑马,没有官网,没有论文,没有任何公开信息。老张只想问下万能的推友:这是谁的部下如此勇猛?

HappyHorse Arena leaderboard
180 LIKES 74K VIEWS
Justine Moore @venturetwins
𝕏

A new video model dropped at #1 on the leaderboard 👀 It's called HappyHorse-1.0, and it's currently leading in both text-to-video and image-to-video. From my testing, it's particularly good at multi-shot videos and following detailed directions.

361 LIKES 28K VIEWS
AngryTom @AngryTomtweets
𝕏

Did Google just drop Veo 4? A new anonymous video model is currently leading both text-to-video and image-to-video on the Artificial Analysis leaderboards. It's called HappyHorse-1.0, and it's very promising.

91 LIKES 8.5K VIEWS
koltregaskes @koltregaskes
𝕏

Is this "Happy Horse" on AA the new Grok Imagine video model? Beating Seedance 2.0 on the leaderboard right now.

HappyHorse leaderboard screenshot
23 LIKES 4K VIEWS
berryxia @berryxia
𝕏

HappyHorse 1.0 全面超越Seedance 2.0 ?这货应该就是阿里马爸爸出的Wan2.7 了!看看是不是真的强!

41 LIKES 10K VIEWS
arsh_goyal @arsh_goyal
𝕏

now what is Happy Horse 1.0, better than Seedance 2.0 😮

HappyHorse vs Seedance comparison
8 LIKES 1.8K VIEWS
DataLearnerAI @DataLearnerAI
𝕏

又一个国产的视频生成大模型要登场了?且能超过字节的SeedDance 2.0? ArtificialAnalysis出现了一个神秘的HappyHorse大模型,ELO积分为1336,而排名第二的Dreamina Seedance 2.0积分为1273,差距高达63分。

4 LIKES 1.5K VIEWS
tangchuan_CN @tangchuan_CN
𝕏

HappyHorse 全面SOTA seedance2.0的视频生成模型出现在榜单,到底是谁呢?好难猜呀

HappyHorse Arena ranking
1 LIKES 1K VIEWS
VigoCreativeAI @VigoCreativeAI
𝕏

HappyHorse-1.0 这个模型基本可以确定是daVinci-MagiHuman,基本参数对的上!

HappyHorse architecture comparison MagiHuman model specs
2 LIKES 260 VIEWS
Neuralithic @Neuralithic
𝕏

Happy-Horse. A new model that ranks above Seedance 2.0 on Artificial Analysis (more examples below)

5 LIKES 1.8K VIEWS

Designed for
elegance and speed.

Text tokens, a reference image latent, and noisy video and audio tokens jointly denoised within a single unified token sequence.

Sandwich Architecture

First and last 4 layers use modality-specific projections; middle 32 layers share parameters across all modalities.

Timestep-Free Denoising

No explicit timestep embeddings — the model infers the denoising state directly from input latents.

Per-Head Gating

Learned scalar gates with sigmoid activation on each attention head for training stability.

Unified Conditioning

Denoising and reference signals handled through a minimal unified interface — no dedicated conditioning branches.

DMD-2 Distillation

Enables generation in only 8 denoising steps with no CFG, without sacrificing output quality.

MagiCompiler

Full-graph compilation that fuses operators across Transformer layers for ~1.2× end-to-end speedup.

Try HappyHorse 1.0 AI today.

Explore the live demo, browse the model hub, or clone the inference code. Everything is open.