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

macro seedance-2.0-fast

Macro — ink drop in water

Extreme close-up of a single drop of dark blue ink falling into a glass of perfectly still water. The moment of impact creates a small crown splash, then billowing clouds of ink expand outward in fractal tendrils. The ink forms mushroom-cloud shapes and delicate filaments as it disperses through the water. Shot against a bright white backlight that makes the ink patterns appear as dark silhouettes with translucent edges where the concentration thins. Ultra slow motion capturing every micro-turbulence. The camera remains perfectly static — all motion comes from the ink itself.

/api/v1/seedance/text_to_video

View API Code

curl -X POST https://runapi.ai/api/v1/seedance/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "seedance-2.0-fast",
  "prompt": "Extreme close-up of a single drop of dark blue ink falling into a glass of perfectly still water. The moment of impact creates a small crown splash, then billowing clouds of ink expand outward in fractal tendrils. The ink forms mushroom-cloud shapes and delicate filaments as it disperses through the water. Shot against a bright white backlight that makes the ink patterns appear as dark silhouettes with translucent edges where the concentration thins. Ultra slow motion capturing every micro-turbulence. The camera remains perfectly static — all motion comes from the ink itself."
}
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.