Examples for using seedream-4.5-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: "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
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-4.5-text-to-image",
"prompt": "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
}
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-4.5-text-to-image",
"prompt": "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
});
console.log(result.id);
require "runapi/seedream"
client = RunApi::Seedream::Client.new
result = client.text_to_image.run(
model: "seedream-4.5-text-to-image",
prompt: "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"seedream-4.5-text-to-image\",\"prompt\":\"Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights.\"}")
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-4.5-text-to-image/api/v1/seedream/text_to_imageGet API Key
Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights.
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-4.5-text-to-image",
"prompt": "Atmospheric night photograph of a narrow Tokyo backstreet after heavy rain. Neon signs in Japanese kanji reflect off the wet asphalt in streaks of pink, blue, and amber. Steam rises from a small ramen shop entrance on the left, its warm interior glow spilling onto the sidewalk. Overhead, a tangle of power lines and cables crisscross between buildings. A single person with a transparent umbrella walks away from camera, their figure reflected in a puddle. The buildings are four to five stories tall, tightly packed, with illuminated vending machines adding blue-white light. Cinematic color grading with deep shadows and saturated neon highlights."
}
JSON
FAQ
Using seedream-4.5-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.