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.

VI
Video
social-media hailuo-02-text-to-video-pro

Social media — coffee pour in slow motion

Close-up slow-motion shot of espresso being poured into a clear glass containing cold milk and ice cubes. The dark espresso hits the milk surface and creates mesmerizing turbulent swirls and marbling patterns as the two liquids mix. Shot from a slightly elevated angle looking down into the glass. The espresso stream is thin and steady, pouring from just above frame. Condensation beads on the outside of the glass. Background is a soft blurred café counter with warm bokeh light spots. High frame rate slow motion capturing every tendril of mixing liquid. Vertical 9:16 format optimized for Instagram Reels.

View API Code
curl -X POST https://runapi.ai/api/v1/hailuo/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "hailuo-02-text-to-video-pro",
  "prompt": "Close-up slow-motion shot of espresso being poured into a clear glass containing cold milk and ice cubes. The dark espresso hits the milk surface and creates mesmerizing turbulent swirls and marbling patterns as the two liquids mix. Shot from a slightly elevated angle looking down into the glass. The espresso stream is thin and steady, pouring from just above frame. Condensation beads on the outside of the glass. Background is a soft blurred café counter with warm bokeh light spots. High frame rate slow motion capturing every tendril of mixing liquid. Vertical 9:16 format optimized for Instagram Reels."
}
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.