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
fashion qwen-2-text-to-image

Fashion editorial — geometric shadows

High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography.

View API Code
curl -X POST https://runapi.ai/api/v1/qwen_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "qwen-2-text-to-image",
  "prompt": "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
}
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.