Modern minimalist house with floor-to-ceiling glass walls, cantilevered concrete structure, surrounded by dense forest, warm interior lighting contrasting against blue hour exterior sky, infinity pool in foreground with perfect reflections, tilt-shift lens effect, photorealistic architectural visualization
Japandi living room interior, low bleached oak furniture, large linen sofa in off-white and warm grey, handmade ceramic table lamp, polished pale wood floor, full-height sliding glass doors opening to a minimalist gravel garden, very minimal decoration, white, warm grey, pale wood, and deep charcoal color palette, shot with 24mm tilt-shift lens
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": "Japandi living room interior, low bleached oak furniture, large linen sofa in off-white and warm grey, handmade ceramic table lamp, polished pale wood floor, full-height sliding glass doors opening to a minimalist gravel garden, very minimal decoration, white, warm grey, pale wood, and deep charcoal color palette, shot with 24mm tilt-shift lens"
}
JSON
Aerial view of a near-future city at dawn, dense mixed-use towers with full-height vertical garden terraces, elevated mid-level pedestrian walkways between buildings, car-free ground level with lush tree canopy, wide river reflecting pink and gold sunrise sky, pale concrete, glass, and abundant green, atmospheric morning haze, architectural concept rendering
Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial.
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-2-pro-text-to-image",
"prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
}
JSON
Interior photograph of a luxury kitchen with floor-to-ceiling dark green marble slab backsplash, matte black cabinetry with integrated handles, and a waterfall-edge marble island. Brass pendant lights hang above the island casting warm pools of light. The countertop has a single cutting board with fresh lemons. Moody, dramatic lighting — like an architectural magazine editorial.
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-2-pro-text-to-image",
"prompt": "Interior photograph of a luxury kitchen with floor-to-ceiling dark green marble slab backsplash, matte black cabinetry with integrated handles, and a waterfall-edge marble island. Brass pendant lights hang above the island casting warm pools of light. The countertop has a single cutting board with fresh lemons. Moody, dramatic lighting — like an architectural magazine editorial."
}
JSON
A net-zero university building with an exposed mass timber structure and a living green wall system covering the south facade, visible rainwater collection channels integrated into the reclaimed brick exterior, clear sunny day, architectural photography with precise straight lines, shot from pedestrian eye level showing the full building
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": "A net-zero university building with an exposed mass timber structure and a living green wall system covering the south facade, visible rainwater collection channels integrated into the reclaimed brick exterior, clear sunny day, architectural photography with precise straight lines, shot from pedestrian eye level showing the full building"
}
JSON
Contemporary community library exterior, single-story building with a folded weathered Corten steel roof creating angular geometric forms, full-height glazing facing a public garden, concrete and vertical timber cladding on solid walls, covered outdoor reading terrace with simple wooden furniture, mature perimeter trees, overcast northern light, rust, concrete, dark glass, and green palette, photorealistic architectural rendering
1970s brutalist government building on an overcast day, massive concrete cantilevered volumes projecting outward, deep recessed windows creating rhythmic shadow patterns, board-formed concrete texture clearly visible, wide empty foreground plaza with wind-blown bare trees, grey sky and pale winter light, documentary architectural photography, low angle, 35mm lens
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": "1970s brutalist government building on an overcast day, massive concrete cantilevered volumes projecting outward, deep recessed windows creating rhythmic shadow patterns, board-formed concrete texture clearly visible, wide empty foreground plaza with wind-blown bare trees, grey sky and pale winter light, documentary architectural photography, low angle, 35mm lens"
}
JSON
FAQ
Working with Image 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.