Modern pencil illustration of a vintage travel poster for the Amalfi Coast, Italy. Classic 1960s white convertible car on a curved seaside road, deep blue Mediterranean sea with small white sailboats, pastel-colored hillside village cascading down the cliff, warm golden sunlight, retro 1950s tourism poster style, subtle screen print texture with slight color misregistration
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": "Modern pencil illustration of a vintage travel poster for the Amalfi Coast, Italy. Classic 1960s white convertible car on a curved seaside road, deep blue Mediterranean sea with small white sailboats, pastel-colored hillside village cascading down the cliff, warm golden sunlight, retro 1950s tourism poster style, subtle screen print texture with slight color misregistration"
}
JSON
Realistic front page of a vintage newspaper with cinematic black-and-white aesthetic. Bold sans-serif headline across the top. Multiple columns of small justified text. Fictitious publication name, date, and issue number in the masthead. Decorative horizontal rules between sections. Fine aged paper texture with visible grain, subtle ink imperfections, and slight yellowing. 4:5 aspect ratio.
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": "Realistic front page of a vintage newspaper with cinematic black-and-white aesthetic. Bold sans-serif headline across the top. Multiple columns of small justified text. Fictitious publication name, date, and issue number in the masthead. Decorative horizontal rules between sections. Fine aged paper texture with visible grain, subtle ink imperfections, and slight yellowing. 4:5 aspect ratio."
}
JSON
Retro 80s sci-fi movie poster, neon typography in hot pink and electric blue, bright saturated colors, grain texture, vaporwave aesthetic, synthwave sunset gradient in background, illustrated central layout with a chrome robot silhouette, palm trees flanking the sides, scan lines across the image
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": "Retro 80s sci-fi movie poster, neon typography in hot pink and electric blue, bright saturated colors, grain texture, vaporwave aesthetic, synthwave sunset gradient in background, illustrated central layout with a chrome robot silhouette, palm trees flanking the sides, scan lines across the image"
}
JSON
pixel art, 16-bit retro game style, warrior knight character sprite with sword and shield, standing pose, clean pixel borders, limited color palette of 16 colors, inspired by classic SNES RPG games, game asset, transparent background, 32x32 pixel grid visible
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": "pixel art, 16-bit retro game style, warrior knight character sprite with sword and shield, standing pose, clean pixel borders, limited color palette of 16 colors, inspired by classic SNES RPG games, game asset, transparent background, 32x32 pixel grid visible"
}
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.