HappyHorseAcademy

The course

The HappyHorse-1.0 Course

A free, eight-lesson course on Alibaba's HappyHorse-1.0 AI video model — from your first clip to prompt engineering, camera language, lip-synced dialogue, and the API.

8 lessons · ~68 min total · Updated July 2026

  1. 01Beginner7 minWhat 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.
  2. 02Beginner8 minGetting started: where to run HappyHorse-1.0Every 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.
  3. 03Beginner10 minText-to-video prompting: the 8-part formulaThe prompt structure HappyHorse-1.0 responds to — subject, action, scene, camera, lighting, style, mood, format — with worked examples and the failure modes to avoid.
  4. 04Intermediate9 minImage-to-video: animating stills with controlHow 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.
  5. 05Intermediate8 minAudio and lip-sync: directing sound and speechHappyHorse-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.
  6. 06Intermediate9 minCamera language: shot types, movement, and formatA working film-school vocabulary for HappyHorse-1.0 — shot sizes, camera movements, lens language, and how to choose aspect ratios per platform.
  7. 07Advanced10 minThe API: models, pricing, and cost mathCalling HappyHorse-1.0 programmatically — the three model endpoints, official per-second pricing with real per-clip math, and how third-party platforms compare.
  8. 08Beginner7 minHappyHorse-1.0 vs Seedance 2.0: an honest comparisonAlibaba 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.