Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field.
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field."
}
JSON
Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos.
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Wide shot of a lone tree in a meadow. A seamless time-lapse transitions from winter to spring, then summer and autumn. Snow melting, buds blooming, leaves turning orange and falling, with weather elements: snow, dew, heat shimmer, wind. Audio evolves across seasons. No text or logos."
}
JSON
A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean.
curl -X POST https://runapi.ai/api/v1/runway/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "runway",
"prompt": "A glowing ocean at night time with bioluminescent creatures under water. The camera starts with a macro close-up of a glowing jellyfish and then expands to reveal the entire ocean lit up with various glowing colors under a starry sky. Camera Movement: Begin with a macro shot of the jellyfish, then gently pull back and up to showcase the glowing ocean."
}
JSON
Golden hour sunset over Icelandic black sand beach, slow ocean waves crashing on volcanic rocks, warm sky colors transitioning from amber to deep purple, low-angle slow push-in, epic atmosphere, cinematic 4K.
Slow-motion shot of ocean waves crashing against rocky cliffs, spray creating mist in the air, dramatic overcast sky, powerful and moody atmosphere, telephoto lens compressing the perspective, nature documentary cinematography.
Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic.
curl -X POST https://runapi.ai/api/v1/runapi/text_to_video \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Slow cinematic dolly shot through a misty forest at dawn, camera gliding between ancient oak trees, volumetric light rays, particles floating in air, film grain, 24fps cinematic."
}
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.