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Cinema began with a galloping horse.
In 1878, Muybridge's motion study turned a running horse into the first moving images. In 2026, HappyHorse-1.0 — Alibaba's arena-topping AI video model — generates them from a sentence. This free course teaches you to direct it: prompts, camera, sound, lip-sync, and the API.
8 lessons · ~68 min total · Updated July 2026
Plates 01–04 · after "Sallie Gardner at a Gallop", 1878 · redrawn
The model
HappyHorse-1.0 at a glance
- Parameters
- ~15B
- Resolution
- Native 1080p
- Clip length
- 3–15 seconds
- Aspect ratios
- 5 formats
- Audio
- Same-pass generation
- Lip-sync
- 6 languages
Debuted #1 on the Artificial Analysis Video Arena in April 2026. Full story and sources in Lesson 1.
The course
Eight lessons, zero to API
View the full syllabusWhat is HappyHorse-1.0?
The model that appeared from nowhere, topped the video arena in a week, and turned out to be Alibaba — what HappyHorse-1.0 is, what it can do, and what is still unverified.
Getting started: where to run HappyHorse-1.0
Every place you can generate with HappyHorse-1.0 today — official apps, API platforms, and aggregators — plus a first-generation walkthrough and the settings that matter.
Text-to-video prompting: the 8-part formula
The prompt structure HappyHorse-1.0 responds to — subject, action, scene, camera, lighting, style, mood, format — with worked examples and the failure modes to avoid.
Image-to-video: animating stills with control
How to use HappyHorse-1.0 image-to-video: choosing source images that animate well, writing motion-only prompts, and the reference-to-video mode for character consistency.
Audio and lip-sync: directing sound and speech
HappyHorse-1.0 generates audio and video in one pass. How to prompt dialogue with accurate lip-sync in six languages, control music and sound effects, and avoid the classic audio mistakes.
Camera language: shot types, movement, and format
A working film-school vocabulary for HappyHorse-1.0 — shot sizes, camera movements, lens language, and how to choose aspect ratios per platform.
The API: models, pricing, and cost math
Calling HappyHorse-1.0 programmatically — the three model endpoints, official per-second pricing with real per-clip math, and how third-party platforms compare.
HappyHorse-1.0 vs Seedance 2.0: an honest comparison
Alibaba vs ByteDance at the top of the video arena — where each model actually wins, what the leaderboards do and don't tell you, and a decision guide per use case.
The prompt library
Prompts that follow the formula
Browse all promptsA woman in a translucent raincoat walks through a narrow Tokyo alley at night, steam rising from vents, slow tracking shot from behind, neon signs reflecting in puddles, anamorphic widescreen with shallow depth of field, contemplative and electric, rain patter and distant city hum
A weathered fisherman mending a net looks into the camera and says "The sea gives, and the sea takes," handheld close-up, overcast harbor light, documentary realism, somber and dignified, gulls and rope creak in the background
A ginger cat leaps between terracotta rooftop ledges at dawn, low-angle tracking shot following the jump, soft pink morning light with drifting clouds, Studio Ghibli-style hand-drawn animation, playful and free, light orchestral flute score with distant town bells
Practice
Run your prompts on a live generator
This academy doesn't generate video — these sites do. Take any prompt from a lesson or the library and run it.
FAQ
Questions, answered
Saddle up.
Eight lessons from first clip to API calls. The next model will be different; the craft transfers.
Start the course