PROMPT 详情
E-commerce product photo — wireless earbuds
Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image.
运行信息
- 模型
- flux-kontext-max
- 提供方
- Black Forest Labs
- 服务
- Flux Kontext
- 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:"Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt:生成一张图像:"Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt:生成一张图像:"Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt:生成一张图像:"Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
curl -X POST https://runapi.ai/api/v1/flux_kontext/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-kontext-max",
"prompt": "Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
}
JSON
import { FluxKontextClient } from "@runapi.ai/flux-kontext";
const client = new FluxKontextClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "flux-kontext-max",
"prompt": "Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
});
console.log(result.id);
require "runapi/flux_kontext"
client = RunApi::FluxKontext::Client.new
result = client.text_to_image.run(
model: "flux-kontext-max",
prompt: "Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"flux-kontext-max\",\"prompt\":\"Professional product photography of matte black wireless earbuds resting on a smooth white marble surface. One earbud lies flat, the other stands upright in its open charging case. Soft directional lighting from the upper left creates gentle shadows. The background is a seamless gradient from warm off-white to light gray. Shot at f/2.8, shallow depth of field with the standing earbud in sharp focus. Clean, editorial style suitable for a product listing hero image.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/flux_kontext/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)
}
常见问题
使用这个 flux-kontext-max 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。