Skip to content

创建图片 (Create Image)

使用通义千问模型创建图片。

请求

POST https://www.realmrouter.cn/v1/images/generations

请求头

参数类型必填说明
AuthorizationstringBearer Token 认证。格式: Authorization: Bearer sk-xxxxxx
Content-Typestring请求内容类型,固定为 application/json

请求体 (application/json)

参数类型必填说明
modelstring模型名称,可选值: qwen-image | qwen-image-plus
inputobject输入参数对象
input.messagesarray消息数组
input.messages[].rolestring消息角色,固定为 "user"
input.messages[].contentarray内容数组
input.messages[].content[].typestring内容类型,固定为 "text"
input.messages[].content[].textstring图片生成提示词
parametersobject生成参数对象
parameters.negative_promptstring负面提示词,用于指定不希望出现的内容
parameters.prompt_extendboolean是否扩展提示词,默认值: true
parameters.watermarkboolean是否添加水印,默认值: false
parameters.sizestring图片尺寸,默认值: "1328*1328"

请求示例

cURL

bash
curl -X POST "https://www.realmrouter.cn/v1/images/generations" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-plus",
    "input": {
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "一只可爱的猫咪"
            }
          ]
        }
      ]
    },
    "parameters": {
      "negative_prompt": "",
      "prompt_extend": true,
      "watermark": false,
      "size": "1328*1328"
    }'

JavaScript

javascript
const body = JSON.stringify({
  "model": "qwen-image-plus",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "一只可爱的猫咪"
          }
        ]
      }
    ]
  },
  "parameters": {
    "negative_prompt": "",
    "prompt_extend": true,
    "watermark": false,
    "size": "1328*1328"
  }
})

fetch("https://www.realmrouter.cn/v1/images/generations", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

go
package main

import (
  "fmt"
  "net/http"
  "io/ioutil"
  "strings"
)

func main() {
  url := "https://www.realmrouter.cn/v1/images/generations"
  body := strings.NewReader(`{
    "model": "qwen-image-plus",
    "input": {
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "一只可爱的猫咪"
            }
          ]
        }
      ]
    },
    "parameters": {
      "negative_prompt": "",
      "prompt_extend": true,
      "watermark": false,
      "size": "1328*1328"
    }
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

python
import requests

url = "https://www.realmrouter.cn/v1/images/generations"
body = """{
  "model": "qwen-image-plus",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "一只可爱的猫咪"
          }
        ]
      }
    ]
  },
  "parameters": {
    "negative_prompt": "",
    "prompt_extend": true,
    "watermark": false,
    "size": "1328*1328"
  }
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer "
})

print(response.text)

Java

java
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "model": "qwen-image-plus",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "一只可爱的猫咪"
          }
        ]
      }
    ]
  },
  "parameters": {
    "negative_prompt": "",
    "prompt_extend": true,
    "watermark": false,
    "size": "1328*1328"
  }
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://www.realmrouter.cn/v1/images/generations"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

csharp
using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "model": "qwen-image-plus",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "一只可爱的猫咪"
          }
        ]
      }
    ]
  },
  "parameters": {
    "negative_prompt": "",
    "prompt_extend": true,
    "watermark": false,
    "size": "1328*1328"
  }
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://www.realmrouter.cn/v1/images/generations", body);
var responseBody = await response.Content.ReadAsStringAsync();

响应

响应体 (application/json)

参数类型说明
createdinteger创建时间戳
dataarray生成的图片数据数组
data[].urlstring图片URL
data[].revised_promptstring修订后的提示词

响应示例

json
{
  "created": 1234567890,
  "data": [
    {
      "url": "https://example.com/image.png",
      "revised_prompt": "一只可爱的猫咪"
    }
  ]
}

状态码

状态码说明
200成功
400请求参数错误
401认证失败
429请求过于频繁
500服务器错误

注意事项

  1. model 参数支持两个模型:
    • qwen-image: 基础图片生成模型
    • qwen-image-plus: 增强版图片生成模型,推荐使用
  2. input.messages[].content[].text 参数是图片生成的核心,建议使用清晰、具体的描述
  3. parameters.negative_prompt 参数用于指定不希望出现的内容,可以提升生成质量
  4. parameters.prompt_extend 参数控制是否自动扩展提示词:
    • true: 自动扩展提示词以获得更好的效果
    • false: 使用原始提示词
  5. parameters.watermark 参数控制是否添加水印:
    • true: 添加水印
    • false: 不添加水印
  6. parameters.size 参数控制图片尺寸,默认为 "1328*1328"
  7. 每次请求的token消耗会计入您的配额
  8. 推荐使用 qwen-image-plus 模型以获得最佳图片生成效果
  9. 生成的图片URL有时效性,请及时保存
  10. 图片生成可能需要较长时间,请耐心等待响应

基于 MIT 许可发布 厦门界云聚算网络科技有限公司