PROMPT 详情

Five friends in their thirties gathered around a large woode

Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain
/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:"Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成一张图像:"Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成一张图像:"Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成一张图像:"Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
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": "Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
}
JSON
import { RunapiClient } from "@runapi.ai/runapi";

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

const result = await client.textToImage.run({
  "prompt": "Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
});
console.log(result.id);
require "runapi/runapi"

client = RunApi::Runapi::Client.new
result = client.text_to_image.run(
  prompt: "Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain"
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"prompt\":\"Five friends in their thirties gathered around a large wooden dining table after dinner — wine glasses, burned-down candles, half-eaten plates — all laughing mid-conversation, candlelight plus warm pendant lamp creating golden ambient light, documentary photography style with slight motion blur on gesturing hands, shot with 24mm wide-angle lens showing the full table scene, subtle film grain\"}")
  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
相关 PROMPTS

更多相似 prompts

IM
图像
Portrait Photography

Close-up of a weathered explorer in their 50s with intense b

Close-up of a weathered explorer in their 50s with intense blue eyes, silver-streaked dark hair, worn leather jacket, dramatic side lighting, shallow depth of field, 85mm lens, golden hour, photorealistic portrait photography

查看 API 代码
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": "Close-up of a weathered explorer in their 50s with intense blue eyes, silver-streaked dark hair, worn leather jacket, dramatic side lighting, shallow depth of field, 85mm lens, golden hour, photorealistic portrait photography"
}
JSON
IM
图像
Portrait Photography

Mid-thirties woman standing in the doorway of a worn brick b

Mid-thirties woman standing in the doorway of a worn brick building, late afternoon window light streaming from the left, wearing a natural linen shirt with reading glasses pushed up on forehead, shallow depth of field, warm ochres and muted greens color palette, documentary street portraiture style, shot with 35mm lens

查看 API 代码
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": "Mid-thirties woman standing in the doorway of a worn brick building, late afternoon window light streaming from the left, wearing a natural linen shirt with reading glasses pushed up on forehead, shallow depth of field, warm ochres and muted greens color palette, documentary street portraiture style, shot with 35mm lens"
}
JSON
IM
图像
Portrait Photography

Close-up studio portrait of a man in his fifties with grey h

Close-up studio portrait of a man in his fifties with grey hair, dark charcoal seamless backdrop, single softbox positioned at 45 degrees, rim light on right shoulder, dark turtleneck, medium format film look with cool desaturated tones, sharp focus on eyes

查看 API 代码
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": "Close-up studio portrait of a man in his fifties with grey hair, dark charcoal seamless backdrop, single softbox positioned at 45 degrees, rim light on right shoulder, dark turtleneck, medium format film look with cool desaturated tones, sharp focus on eyes"
}
JSON
IM
图像
Portrait Photography

Full-length shot of an early-twenties man standing in a whea

Full-length shot of an early-twenties man standing in a wheat field at golden hour, warm backlight creating a golden halo around curly hair, weathered denim jacket, looking slightly away from camera, foreground wheat stalks blurred, amber and pale blue color palette, lifestyle photography, 85mm wide aperture lens

查看 API 代码
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": "Full-length shot of an early-twenties man standing in a wheat field at golden hour, warm backlight creating a golden halo around curly hair, weathered denim jacket, looking slightly away from camera, foreground wheat stalks blurred, amber and pale blue color palette, lifestyle photography, 85mm wide aperture lens"
}
JSON
IM
图像
Portrait Photography gpt-image-2

35mm film photography portrait, harsh convenience store fluo

35mm film photography portrait, harsh convenience store fluorescent lighting mixed with colorful neon signs from outside, high contrast, cinematic street editorial mood, late-night atmosphere, young woman wearing oversized white shirt and black mini skirt, messy high ponytail, seductive urban portrait energy, shot on analog film with visible grain

查看 API 代码
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "gpt-image-2",
  "prompt": "35mm film photography portrait, harsh convenience store fluorescent lighting mixed with colorful neon signs from outside, high contrast, cinematic street editorial mood, late-night atmosphere, young woman wearing oversized white shirt and black mini skirt, messy high ponytail, seductive urban portrait energy, shot on analog film with visible grain"
}
JSON
IM
图像
Portrait Photography imagen-4

A fluffy white Persian cat with bright blue eyes sitting gra

A fluffy white Persian cat with bright blue eyes sitting gracefully on a sunlit windowsill, soft morning light streaming through lace curtains creating gentle dappled shadows, warm golden tones, shallow depth of field with sharp focus on the cat's face, photorealistic, shot on medium format camera

查看 API 代码
curl -X POST https://runapi.ai/api/v1/imagen_4/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "imagen-4",
  "prompt": "A fluffy white Persian cat with bright blue eyes sitting gracefully on a sunlit windowsill, soft morning light streaming through lace curtains creating gentle dappled shadows, warm golden tones, shallow depth of field with sharp focus on the cat's face, photorealistic, shot on medium format camera"
}
JSON
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。