Whimsical children's book illustration of a small red fox sitting on a moss-covered log in an autumn forest. Golden and amber leaves drift down around the fox, who looks upward with bright curious eyes. The trees are stylized with round, soft canopies in warm oranges, yellows, and deep reds. Soft watercolor textures with visible paper grain. Gentle, warm lighting as if the entire scene glows from within. The style is cozy and inviting, suitable for ages 3-7, with slightly oversized eyes on the fox for expressiveness.
curl -X POST https://runapi.ai/api/v1/seedream/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "seedream-5-lite-text-to-image",
"prompt": "Whimsical children's book illustration of a small red fox sitting on a moss-covered log in an autumn forest. Golden and amber leaves drift down around the fox, who looks upward with bright curious eyes. The trees are stylized with round, soft canopies in warm oranges, yellows, and deep reds. Soft watercolor textures with visible paper grain. Gentle, warm lighting as if the entire scene glows from within. The style is cozy and inviting, suitable for ages 3-7, with slightly oversized eyes on the fox for expressiveness."
}
JSON
Flat vector illustration of a cozy home office setup viewed from slightly above. A wooden desk holds an open laptop, a potted monstera plant, a ceramic coffee mug with steam rising, scattered sticky notes, and a pair of round glasses. A cat sleeps curled up on an ergonomic chair beside the desk. The wall behind has a pegboard with headphones hanging and a small shelf with three books. Warm, pastel color palette — dusty pink walls, sage green plant, cream desk. Clean lines, no outlines, geometric shapes with subtle grain texture overlay. Suitable for a blog header illustration.
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-flex-text-to-image",
"prompt": "Flat vector illustration of a cozy home office setup viewed from slightly above. A wooden desk holds an open laptop, a potted monstera plant, a ceramic coffee mug with steam rising, scattered sticky notes, and a pair of round glasses. A cat sleeps curled up on an ergonomic chair beside the desk. The wall behind has a pegboard with headphones hanging and a small shelf with three books. Warm, pastel color palette — dusty pink walls, sage green plant, cream desk. Clean lines, no outlines, geometric shapes with subtle grain texture overlay. Suitable for a blog header illustration."
}
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.