MODEL PROMPTS

seedream-5-lite-text-to-image Prompts — 1 curated examples

Examples for using seedream-5-lite-text-to-image through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.

MODELS

seedream-5-lite-text-to-image

Modality
Image
Provider
Bytedance
Endpoint
Text To Image
View model details and pricing →
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "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."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "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."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "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."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "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
import { SeedreamClient } from "@runapi.ai/seedream";

const client = new SeedreamClient({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToImage.run({
  "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."
});
console.log(result.id);
require "runapi/seedream"

client = RunApi::Seedream::Client.new
result = client.text_to_image.run(
  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."
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"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.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/seedream/text_to_image", body)
  if err != nil {
    log.Fatal(err)
  }

  req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    log.Fatal(err)
  }
  defer resp.Body.Close()

  fmt.Println(resp.Status)
}
seedream-5-lite-text-to-image /api/v1/seedream/text_to_image Get API Key
IM
Image
illustration seedream-5-lite-text-to-image

Children's book illustration — fox in autumn forest

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.

View API Code
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
FAQ

Using seedream-5-lite-text-to-image prompts

What is %{model}?

%{model} is available through RunAPI as part of the unified model catalog. These prompts show practical input patterns that agents and backend services can reuse.

How do I use these prompts?

Copy any prompt and paste it into Claude Code, Codex, Cursor, or Windsurf after installing the RunAPI MCP Server. Developers can also copy the API example and send the prompt directly.

Do these prompts cost money to browse?

Browsing and copying prompt examples is free. Generation requests only cost money when you call a RunAPI model with your API key.

Can I adapt the prompts for production?

Yes. Treat each prompt as a starting point, then add your brand rules, output dimensions, safety constraints, and application-specific context before using it in production.