PROMPTS BY MODALITY

Video Prompts — 38 curated examples

Prompt examples tuned for Video generation workflows across RunAPI models. Filter by category, copy the prompt, or open the model-specific API code.

CATEGORIES All categories abstract camera_motion cinematic explainer lifestyle macro nature product product_demo social-media timelapse

VI

Video

product veo-3.1

Product reveal — smartwatch on rotating platform

Elegant product reveal of a premium smartwatch on a slowly rotating display platform. The video starts with a completely dark frame, then a single spotlight fades in from above, illuminating the watch face first. The platform rotates 180 degrees over the clip duration, showing the watch from front to side profile. The watch face displays a minimalist analog dial with blue hands. Reflections from the polished stainless steel case create subtle light flares. Background remains pure black. Studio lighting with a slight rim light on the back edge of the watch band. Smooth, slow rotation — no camera movement, the platform does all the work.

/api/v1/veo_3_1/text_to_video

View API Code

curl -X POST https://runapi.ai/api/v1/veo_3_1/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "veo-3.1",
  "prompt": "Elegant product reveal of a premium smartwatch on a slowly rotating display platform. The video starts with a completely dark frame, then a single spotlight fades in from above, illuminating the watch face first. The platform rotates 180 degrees over the clip duration, showing the watch from front to side profile. The watch face displays a minimalist analog dial with blue hands. Reflections from the polished stainless steel case create subtle light flares. Background remains pure black. Studio lighting with a slight rim light on the back edge of the watch band. Smooth, slow rotation — no camera movement, the platform does all the work."
}
JSON

FAQ

Working with Video prompts

What makes a good %{model} prompt?

A useful %{model} prompt names the subject, style, constraints, and output intent clearly. The examples here are short enough to copy, but specific enough for an agent or backend job to preserve the generation goal.

Can I reuse these prompts across models?

Often, yes. Start with a prompt in this modality, then adjust model-specific fields such as aspect ratio, duration, voice settings, or style controls. The detail page shows any saved parameters next to the prompt text.

Where do I find the right model slug?

Every card shows the RunAPI model slug. Open the model page when you want only examples for one model, or follow the model catalog link for pricing and capability details before making a request.

Can agents call these prompts directly?

Yes. After installing the RunAPI MCP Server, paste the agent instruction from a prompt detail page. The page keeps the prompt text, model slug, and endpoint path together so the agent has enough context.