PROMPT 详情

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

图像 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
运行信息
模型
提供方
Runapi
服务
Runapi
Endpoint
Text To Image
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. 重启 Claude Code
3. 粘贴这个 prompt：生成一张图像："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. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："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. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："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. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："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 获取 API Key
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常见问题

使用这个 prompt

如何安全复制这个 prompt？

使用完整 prompt 区块旁边的复制按钮。它只复制 prompt 文本，不包含页面标签，所以可以直接粘贴到 agent 指令、JSON 请求体或你自己的 prompt 库。

为什么详情页会显示参数？

有些 prompt 采集时带有画幅、时长或声音控制等生成设置。存在参数时，页面会单独列出，方便你同时复用 prompt 文本和结构化设置。

应该调用哪个 endpoint？

使用 API 代码块里显示的 endpoint 路径。这个路径由 prompt 的 RunAPI 服务和 endpoint 名称生成，并渲染成 curl 与 SDK 示例使用的公开 API URL。

可以不用代码，直接在 agent 里用吗？

可以。在标签切换器里选择 Claude Code、Codex、Cursor 或 Windsurf，安装 RunAPI MCP Server，然后粘贴生成好的指令。指令会包含完整 prompt 文本。