PROMPTS BY MODALITY

Image Prompts — 1438 curated examples

Prompt examples tuned for Image generation workflows across RunAPI models. Filter by category, copy the prompt, or open the model-specific API code.

IM
Image
vintage imagen-4-fast

Vintage travel poster — Kyoto in spring

Vintage travel poster for Kyoto, Japan in the style of 1950s airline advertisements. A bold composition showing a vermillion torii gate framing a view of a pagoda surrounded by cherry blossom trees in full bloom. Soft pink petals scatter across the foreground. Mount Hiei is visible as a simple silhouette in the background. The text 'KYOTO' appears at the bottom in a retro sans-serif typeface with 'Japan' in smaller elegant script below. Limited color palette: vermillion red, cherry blossom pink, deep green, cream, and touches of gold. Flat color areas with subtle screen-print texture.

View API Code
curl -X POST https://runapi.ai/api/v1/imagen_4/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "imagen-4-fast",
  "prompt": "Vintage travel poster for Kyoto, Japan in the style of 1950s airline advertisements. A bold composition showing a vermillion torii gate framing a view of a pagoda surrounded by cherry blossom trees in full bloom. Soft pink petals scatter across the foreground. Mount Hiei is visible as a simple silhouette in the background. The text 'KYOTO' appears at the bottom in a retro sans-serif typeface with 'Japan' in smaller elegant script below. Limited color palette: vermillion red, cherry blossom pink, deep green, cream, and touches of gold. Flat color areas with subtle screen-print texture."
}
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.