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.

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IM
Image
sci-fi gpt-image-2

Sci-fi space station corridor

Interior corridor of a massive orbital space station. The hallway curves gently following the station's ring structure, with floor-to-ceiling windows on the outer wall revealing Earth's cloud-covered surface far below. Cool blue-white LED strips line the ceiling joints. The floor is polished dark composite material reflecting the window light. A lone figure in a gray utility jumpsuit walks away from camera, their silhouette small against the panoramic view. Hard science fiction aesthetic — no fantasy elements, functional industrial design inspired by ISS modules scaled up.

/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": "Interior corridor of a massive orbital space station. The hallway curves gently following the station's ring structure, with floor-to-ceiling windows on the outer wall revealing Earth's cloud-covered surface far below. Cool blue-white LED strips line the ceiling joints. The floor is polished dark composite material reflecting the window light. A lone figure in a gray utility jumpsuit walks away from camera, their silhouette small against the panoramic view. Hard science fiction aesthetic — no fantasy elements, functional industrial design inspired by ISS modules scaled up."
}
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.