A sleek smartphone rotates slowly on a minimalist white surface. Dramatic studio lighting creates elegant shadows. The phone's screen displays vibrant colors that pulse gently. Camera orbits around the device with smooth, professional movement. Clean, premium aesthetic.
curl -X POST https://runapi.ai/api/v1/kling/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "kling-3.0",
"prompt": "A sleek smartphone rotates slowly on a minimalist white surface. Dramatic studio lighting creates elegant shadows. The phone's screen displays vibrant colors that pulse gently. Camera orbits around the device with smooth, professional movement. Clean, premium aesthetic."
}
JSON
Studio product shot, matte black wireless earbuds on a reflective acrylic surface, slow 180-degree camera orbit, softbox reflections, premium ecommerce lighting, shallow depth of field, no text, no logo distortion.
Extreme macro of amber liquid pouring into crystal glass in slow motion. Droplets hang in the air, catching backlight. Ice shifts and cracks. Dolly-out reveals full glass and bottle on dark bar counter. No voiceover, only the sound of liquid and ice.
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",
"prompt": "Extreme macro of amber liquid pouring into crystal glass in slow motion. Droplets hang in the air, catching backlight. Ice shifts and cracks. Dolly-out reveals full glass and bottle on dark bar counter. No voiceover, only the sound of liquid and ice."
}
JSON
A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones.
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": "A steaming pizza is pulled from a wood-fired oven on a long wooden peel. Cheese stretches as a slice is lifted. Close-up details of the bubbling crust and charred edges. Warm, rustic Italian restaurant ambiance. Food photography lighting with warm tones."
}
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.