生成图像

在给定提示的情况下创建图像。

Try It

POST/v1/images/generationshttps://api-platform.ope.ai

认证

使用 Bearer Token 认证。

• Header：Authorization: Bearer <token>
• 示例：Authorization: Bearer sk-xxxxxx

请求体（application/json）

字段	类型	必填	说明	默认值 / 范围
model	string	是	用于图像生成的模型	Qwen-Image
prompt	string	是	图像的文本描述	-
size	string	是	生成图像尺寸	例如：1024x1024
n	integer	否	生成图片的数量	默认值：1

请求示例

下方域名为示例：https://api-platform.ope.ai。

cURL

curl -X POST "https://api-platform.ope.ai/v1/images/generations" \
  -H "Authorization: Bearer $OPEAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen-Image",
    "prompt": "生成展示AI生图能力的图文。",
    "size": "1024x1024"
  }'

JavaScript

const url = "https://api-platform.ope.ai/v1/images/generations";
const apiKey = process.env.OPEAI_API_KEY;

const res = await fetch(url, {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "Qwen-Image",
    prompt: "生成展示AI生图能力的图文。",
    size: "1024x1024",
  }),
});

console.log(await res.json());

Go

package main

import (
  "bytes"
  "fmt"
  "net/http"
  "os"
)

func main() {
  body := []byte(`{"model":"Qwen-Image","prompt":"生成展示AI生图能力的图文。","size":"1024x1024"}`)
  req, _ := http.NewRequest("POST", "https://api-platform.ope.ai/v1/images/generations", bytes.NewBuffer(body))
  req.Header.Set("Authorization", "Bearer "+os.Getenv("OPEAI_API_KEY"))
  req.Header.Set("Content-Type", "application/json")

  resp, err := http.DefaultClient.Do(req)
  if err != nil {
    panic(err)
  }
  defer resp.Body.Close()
  fmt.Println(resp.Status)
}

Python

import os
import requests

resp = requests.post(
  "https://api-platform.ope.ai/v1/images/generations",
  headers={
    "Authorization": f"Bearer {os.environ.get('OPEAI_API_KEY')}",
    "Content-Type": "application/json",
  },
  json={"model": "Qwen-Image", "prompt": "生成展示AI生图能力的图文。", "size": "1024x1024"},
  timeout=60,
)

print(resp.json())

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
  public static void main(String[] args) throws Exception {
    String apiKey = System.getenv("OPEAI_API_KEY");
    String url = "https://api-platform.ope.ai/v1/images/generations";

    String json = """
      { "model": "Qwen-Image", "prompt": "生成展示AI生图能力的图文。", "size": "1024x1024" }
      """;

    HttpRequest request = HttpRequest.newBuilder()
      .uri(URI.create(url))
      .header("Authorization", "Bearer " + apiKey)
      .header("Content-Type", "application/json")
      .POST(HttpRequest.BodyPublishers.ofString(json))
      .build();

    HttpClient client = HttpClient.newHttpClient();
    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
    System.out.println(response.statusCode());
    System.out.println(response.body());
  }
}

C#

using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;

public class Program
{
  public static async Task Main()
  {
    var apiKey = Environment.GetEnvironmentVariable("OPEAI_API_KEY");
    var url = "https://api-platform.ope.ai/v1/images/generations";

    var json = """
    { "model": "Qwen-Image", "prompt": "生成展示AI生图能力的图文。", "size": "1024x1024" }
    """;

    using var http = new HttpClient();
    http.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
    var content = new StringContent(json, Encoding.UTF8, "application/json");

    var resp = await http.PostAsync(url, content);
    Console.WriteLine((int)resp.StatusCode);
    Console.WriteLine(await resp.Content.ReadAsStringAsync());
  }
}

响应示例（200）

{
  "created": 0,
  "data": [
    {
      "b64_json": "string",
      "url": "string"
    }
  ],
  "usage": {
    "total_tokens": 0,
    "input_tokens": 0,
    "output_tokens": 0,
    "input_tokens_details": {
      "text_tokens": 0,
      "image_tokens": 0
    }
  }
}