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
landscape flux-2-pro-text-to-image

Minimalist landscape — misty mountain lake

Minimalist landscape photograph of a perfectly still mountain lake at dawn. A single row of dark pine trees reflected symmetrically in the water creates a natural Rorschach pattern. Dense morning mist obscures the mountain peaks, leaving only their lower slopes visible as soft gray shapes. The color palette is restricted to muted teal water, dark green trees, and silver-gray fog. High key exposure with crushed blacks. Wide aspect ratio emphasizing horizontal calm. Fine art photography style reminiscent of Michael Kenna.

View API Code
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": "Minimalist landscape photograph of a perfectly still mountain lake at dawn. A single row of dark pine trees reflected symmetrically in the water creates a natural Rorschach pattern. Dense morning mist obscures the mountain peaks, leaving only their lower slopes visible as soft gray shapes. The color palette is restricted to muted teal water, dark green trees, and silver-gray fog. High key exposure with crushed blacks. Wide aspect ratio emphasizing horizontal calm. Fine art photography style reminiscent of Michael Kenna."
}
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.