Happy Horse 1.0 Prompt Generator

Generate optimized prompts for Alibaba's open-source Happy Horse 1.0 — the only major AI video model with native multi-shot generation, joint audio-video synthesis, and 7-language lip-sync. Uses the official 6-part director formula.

Describe the main visual scene — subjects, environment, mood, and key visual details

Generated Prompt

Fill in the form and click "Generate" to create an optimized Happy Horse 1.0 video prompt.

Tip: Describe the motion and temporal progression of your scene. Think in terms of "what happens over time" rather than a static description.

Happy Horse 1.0 Tips

  • Keep prompts tight — around 20 words per single shot. Happy Horse degrades on long, padded prompts.
  • Always write in this order: Subject → Action → Environment → Style → Camera → Audio. The model follows this hierarchy.
  • Write like a director: visible motion, concrete physical detail. Avoid literary or abstract descriptions.
  • Skip generic praise like "stunning", "masterpiece", "ultra detailed" — replace with specific cinematic facts.
  • For Image-to-Video, only describe what the image cannot show: motion, sound, expression changes, time.
  • For Multi-Shot, use [0-3s] [3-7s] timestamp blocks so cuts land where you want.
  • Describe real-world audio that matches visible elements — sizzle, footsteps, breathing, dialogue in quotes.

Frequently Asked Questions

What is Happy Horse 1.0?

Happy Horse 1.0 is an open-source AI video model from Alibaba's ATH Innovation Division. It's a 15B-parameter unified transformer that handles text, image, video, and audio in one pass — producing native 1080p clips of 5-12 seconds, with six aspect ratios, joint audio-video synthesis, and 7-language lip-sync.

What makes Happy Horse different from Sora, Veo, or Kling?

Three things: (1) it natively generates multi-shot sequences (multiple coherent cuts in a single generation, with characters and audio persisting across cuts), (2) audio is produced in the same forward pass as the video — no separate sound model, and (3) lip-sync works in 7 languages (English, Mandarin, Cantonese, Japanese, Korean, German, French).

What's the official prompt structure?

Subject → Action → Environment → Style/Composition → Camera Motion → Ambiance/Audio. The model uses this exact order to allocate attention. Reordering or skipping the camera section causes flat, undirected output.

Why do shorter prompts work better?

Happy Horse uses a unified attention transformer where every token competes for rendering capacity. Long prompts dilute attention across many tokens and cause subject drift. The official guidance is roughly 20 words per single shot.

How do I use multi-shot mode?

Select Multi-Shot Sequence and structure the action as timestamped blocks: "[0-3s] establishing wide of …", "[3-7s] cut to medium close-up of …", "[7-12s] pull-back reveals …". Keep the character description consistent across blocks so identity persists across cuts.

How does the lip-sync work?

Add dialogue in quotation marks in the audio field and pick a lip-sync language. The generator will note the language inline (e.g., "She says in Japanese: ...") so Happy Horse's lip-sync head locks to the right phoneme set.

Image-to-Video — what should I put in the prompt?

Only what the image cannot show: motion, sound, expression changes, time passing. Describing the appearance or setting again wastes tokens and competes with the image conditioning.

Is this tool free?

Yes. You get 3 free generations per day. For unlimited access, sign up for a Promptslove membership.

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