PROMPT DETAIL

Single bowl of miso ramen on dark oak table, overhead camera

Image Food Photography 
Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens
/api/v1/runapi/text_to_image
RUN DETAILS
Model
Provider
Runapi
Service
Runapi
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: "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "prompt": "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
}
JSON
import { RunapiClient } from "@runapi.ai/runapi";

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

const result = await client.textToImage.run({
  "prompt": "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
});
console.log(result.id);
require "runapi/runapi"

client = RunApi::Runapi::Client.new
result = client.text_to_image.run(
  prompt: "Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens"
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"prompt\":\"Single bowl of miso ramen on dark oak table, overhead camera angle, steam rising caught by directional light from the right, perfectly arranged toppings — sliced chashu pork, halved soft-boiled egg showing jammy orange yolk, crispy nori sheet, sliced scallions, bamboo shoots — rich amber broth catching light, scattered sesame seeds, dark moody background, 50mm lens\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/runapi/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)
}
/api/v1/runapi/text_to_image Get API Key
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FAQ

Using this 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.