Examples for using ideogram-v3-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.
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
curl -X POST https://runapi.ai/api/v1/ideogram_v3/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "ideogram-v3-text-to-image",
"prompt": "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
}
JSON
import { IdeogramV3Client } from "@runapi.ai/ideogram-v3";
const client = new IdeogramV3Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "ideogram-v3-text-to-image",
"prompt": "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
});
console.log(result.id);
require "runapi/ideogram_v3"
client = RunApi::IdeogramV3::Client.new
result = client.text_to_image.run(
model: "ideogram-v3-text-to-image",
prompt: "A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"ideogram-v3-text-to-image\",\"prompt\":\"A stylish movie poster with the title 'MIDNIGHT ECHO' in bold art deco typography at the top. A silhouetted figure standing in a neon-lit rain-soaked alley below. 'Coming Summer 2026' in smaller text at the bottom. Moody teal and magenta color scheme. Dramatic backlighting creating long shadows. Film noir atmosphere.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/ideogram_v3/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)
}
ideogram-v3-text-to-image/api/v1/ideogram_v3/text_to_imageGet API Key
A vintage-style coffee shop poster with hand-lettered typography reading 'FRESHLY ROASTED SINCE 1987'. The text is arranged in a decorative arch layout with ornamental flourishes and small coffee bean illustrations between lines. Warm cream paper texture background with dark brown ink and subtle rust-red accent color on the year. Style references classic American letterpress printing with slight ink bleed on the edges of each character. Dimensions suitable for an A3 wall print.
curl -X POST https://runapi.ai/api/v1/ideogram_v3/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "ideogram-v3-text-to-image",
"prompt": "A vintage-style coffee shop poster with hand-lettered typography reading 'FRESHLY ROASTED SINCE 1987'. The text is arranged in a decorative arch layout with ornamental flourishes and small coffee bean illustrations between lines. Warm cream paper texture background with dark brown ink and subtle rust-red accent color on the year. Style references classic American letterpress printing with slight ink bleed on the edges of each character. Dimensions suitable for an A3 wall print."
}
JSON
FAQ
Using ideogram-v3-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.