HAPPYHORSE-1.0 PROMPT PACK
Independent research asset

There is currently no confirmed official HappyHorse website.
Use this pack to test claims, not to assume official access.

1. Multi-shot product launch
Objective: Test continuity across multiple camera setups.
Prompt:
Create a four-shot premium ad for a matte black smart ring.
Shot 1: macro pedestal reveal.
Shot 2: runner uses the ring in a neon street scene.
Shot 3: slow push-in on the hand and UI feedback.
Shot 4: clean studio hero frame.
Keep product proportions, character identity, camera language, reflections, and color palette consistent across all shots. Directed motion, restrained transitions, 16:9.

2. Cantonese dialogue test
Objective: Stress lip sync and multilingual handling.
Prompt:
Two friends in a Hong Kong cafe filmed in a natural handheld style.
First speaker talks in Cantonese, second answers in English.
Keep lip movement precise, preserve eye contact, maintain ambient cafe audio, realistic pauses, subtle rack focus, warm morning light, natural body language, and documentary realism.

3. Image-to-video preservation test
Objective: Check whether composition survives animation.
Prompt:
Animate the provided still image into a five-second hero sequence.
Start with a locked frame, introduce subtle environmental motion in fabric, hair, and background lights, then add a gentle forward camera move.
Preserve facial identity, scene layout, lens choice, and color grading.
No sudden reframing. Commercial polish.

4. HappyHorse vs Seedance comparison prompt
Objective: Run the same brief on both models.
Prompt:
Follow the same woman in a red jacket across four linked Tokyo night shots: close-up under rain reflections, alley crossing, metro platform reveal, rooftop skyline ending.
Keep identity, wardrobe, lens mood, and pacing coherent across the entire sequence.
Use this exact prompt in both HappyHorse and Seedance 2.0 before drawing conclusions.

Verification checklist
- Check whether the page discloses the backend, model identity, or API name.
- Treat HappyHorse-1.0 download claims as unconfirmed until there is a repository, release note, model card, or checksum trail.
- Treat self-hosting as unverified until you can inspect dependencies, installation steps, and release notes.
- Use Artificial Analysis first for neutral quality comparison.
- Treat third-party generator pricing and credit claims as provisional.