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.

CATEGORIES All categories abstract Abstract and Artistic architecture Architecture and Interior character-design cityscape double-exposure fashion Fashion Photography food Food & Drink Food Photography game-art illustration Illustration & 3D Illustration and 2D Art infographic landscape Landscape and Nature logo Logo and Brand Design macro Minimalist and Modern Photography portrait Portrait Photography Poster and Graphic Design Poster Design product Product & Brand Product Photography sci-fi Sci-Fi and Concept Art typography UI & Graphic ui-mockup UI/UX Mockups vintage Vintage and Retro

IM

Image

infographic gpt-image-2

Infographic — coffee brewing methods compared

Clean infographic comparing four coffee brewing methods side by side: French Press, Pour Over, Espresso, and Cold Brew. Each method is represented by a simplified cross-section diagram of its equipment showing water flow and coffee grounds interaction. Below each diagram: brew time, grind size, water temperature, and strength rating shown as icon-based data points. The layout is a single horizontal row on a cream background. Color coding uses warm browns and subtle orange accents. Typography is modern sans-serif. The overall design is editorial and information-dense without feeling cluttered.

/api/v1/gpt_image_2/text_to_image

View API Code

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": "Clean infographic comparing four coffee brewing methods side by side: French Press, Pour Over, Espresso, and Cold Brew. Each method is represented by a simplified cross-section diagram of its equipment showing water flow and coffee grounds interaction. Below each diagram: brew time, grind size, water temperature, and strength rating shown as icon-based data points. The layout is a single horizontal row on a cream background. Color coding uses warm browns and subtle orange accents. Typography is modern sans-serif. The overall design is editorial and information-dense without feeling cluttered."
}
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.