Browse 1632+ curated prompts for image, video, music, and audio generation. Copy a prompt into Claude Code, Codex, Cursor, Windsurf, or use the API code directly.
Southern European hidden side street in late morning light, terracotta walls with layers of peeling cream, ochre, and dusty rose paint, narrow cobblestone lane, clay flower pots on iron-railed windowsills, single vintage bicycle leaning against a weathered wall, bougainvillea creating dappled shadows on the ground, travel photography with 28mm lens at mid-aperture
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Southern European hidden side street in late morning light, terracotta walls with layers of peeling cream, ochre, and dusty rose paint, narrow cobblestone lane, clay flower pots on iron-railed windowsills, single vintage bicycle leaning against a weathered wall, bougainvillea creating dappled shadows on the ground, travel photography with 28mm lens at mid-aperture"
}
JSON
City avenue reclaimed by nature twenty years after human abandonment, cracked asphalt split by tree roots pushing through, retail storefronts with shattered windows and young trees growing through the roofs, afternoon green-filtered light through the overhead canopy, muted greens, grey concrete, rust, and pale sky, quiet melancholy tone, photorealistic post-apocalyptic landscape
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "City avenue reclaimed by nature twenty years after human abandonment, cracked asphalt split by tree roots pushing through, retail storefronts with shattered windows and young trees growing through the roofs, afternoon green-filtered light through the overhead canopy, muted greens, grey concrete, rust, and pale sky, quiet melancholy tone, photorealistic post-apocalyptic landscape"
}
JSON
Floating rocky island archipelago above a vast cloud sea, each island hosting a different ecosystem — tropical jungle, walled medieval city, bare windswept cliffs — all connected by precarious rope bridges swaying in the wind, warm late afternoon light from the right, deep blue cloud sea below, saturated greens, warm sandstone, and deep azure sky, epic fantasy concept art
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Floating rocky island archipelago above a vast cloud sea, each island hosting a different ecosystem — tropical jungle, walled medieval city, bare windswept cliffs — all connected by precarious rope bridges swaying in the wind, warm late afternoon light from the right, deep blue cloud sea below, saturated greens, warm sandstone, and deep azure sky, epic fantasy concept art"
}
JSON
Solarpunk cityscape with extensive rooftop gardens and elevated transit lines connecting green towers, bright optimistic mood, clean vector illustration style with defined shapes and limited gradients, ample negative space in the upper-left quadrant for text overlay, 16:9 ratio, warm golden sunlight, no text
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Solarpunk cityscape with extensive rooftop gardens and elevated transit lines connecting green towers, bright optimistic mood, clean vector illustration style with defined shapes and limited gradients, ample negative space in the upper-left quadrant for text overlay, 16:9 ratio, warm golden sunlight, no text"
}
JSON
FAQ
Finding and using RunAPI prompts
What are RunAPI prompts?
RunAPI prompts are curated input examples for image, video, music, and audio models. Each prompt is paired with the model slug and endpoint path so developers can copy the text into an agent or reuse it in backend calls.
Can I filter prompts by model or category?
Yes. Use the modality and category links to narrow the library, then open a model page for examples tied to one specific model slug. Each model page keeps the prompt cards, install steps, and API examples together.
Do I need an API key to browse prompts?
No. Browsing, filtering, and copying prompt text is public. You only need a RunAPI key when you ask an agent or your application to call a model and create a generation task.
How should agents use these prompts?
Install the RunAPI MCP Server in Claude Code, Codex, Cursor, or Windsurf, then paste the prompt instruction shown on the page. The agent can choose the matching RunAPI tool and send the prompt with the listed model.