Night cityscape — rain-soaked Tokyo street
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.
- Model
- seedream-4.5-text-to-image
- Provider
- Bytedance
- Service
- Seedream
- Endpoint
- Text To Image
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)
}
Using this seedream-4.5-text-to-image prompt
How do I copy this prompt safely?
Use the copy button beside the full prompt block. It copies only the prompt text, not surrounding page labels, so you can paste it into an agent instruction, a JSON request body, or your own prompt library.
Why does the detail page show parameters?
Some prompts were collected with saved generation settings such as aspect ratio, duration, or voice controls. When parameters exist, the page lists them separately so you can reuse the prompt text and the structured settings together.
Which endpoint should I call?
Use the endpoint path shown in the API code block. The path is generated from the prompt's RunAPI service and endpoint name, then rendered as the public API URL used by curl and SDK examples.
Can I use this prompt in an agent instead of code?
Yes. Pick Claude Code, Codex, Cursor, or Windsurf in the tab switcher, install the RunAPI MCP Server, and paste the generated instruction. The instruction includes the full prompt text.