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

lifestyle wan-2.6-text-to-video

Lifestyle — hands crafting pottery on a wheel

Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor.

/api/v1/wan/text_to_video

View API Code

curl -X POST https://runapi.ai/api/v1/wan/text_to_video \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "wan-2.6-text-to-video",
  "prompt": "Close-up shot of skilled hands shaping wet clay on a spinning pottery wheel. The camera focuses on the hands and clay, showing fingers pressing inward to form the walls of a bowl. Muddy water splashes slightly with each rotation. The clay surface glistens under warm overhead workshop lighting. The potter's hands are steady and precise, pulling the clay upward in smooth practiced motions. Background is a soft blur of shelves with finished ceramics in earth-toned glazes. The wheel spins counterclockwise at a steady pace. Natural sound design — the wet squelch of clay and the hum of the wheel motor."
}
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.