Alibaba Cloud Model Studio：通義千問-影像編輯API參考

輸入提示詞：圖1中的女生穿著圖2中的黑色裙子按圖3的姿勢坐下。

在調用前，您需要擷取API Key，再配置API Key到環境變數（準備下線，併入配置 API Key）。

如需通過SDK進行調用，請安裝DashScope SDK。目前，該SDK已支援Python和Java。

新加坡地區：POST https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

北京地區：POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

Python SDK調用

import json
import os
import dashscope
from dashscope import MultiModalConversation

# 以下為新加坡地區url，若使用北京地區的模型，需將url替換為：https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# 模型支援輸入1-3張圖片
messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/thtclx/input1.png"},
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/iclsnx/input2.png"},
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/gborgw/input3.png"},
            {"text": "圖1中的女生穿著圖2中的黑色裙子按圖3的姿勢坐下"}
        ]
    }
]

# 新加坡和北京地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# 若沒有配置環境變數，請用百鍊API Key將下行替換為：api_key="sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")

# qwen-image-edit-max、qwen-image-edit-plus系列支援輸出1-6張圖片，此處以2張為例
response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-edit-max",
    messages=messages,
    stream=False,
    n=2,
    watermark=False,
    negative_prompt=" ",
    prompt_extend=True,
    size="1024*1536",
)

if response.status_code == 200:
    # 如需查看完整響應，請取消下行注釋
    # print(json.dumps(response, ensure_ascii=False))
    for i, content in enumerate(response.output.choices[0].message.content):
        print(f"輸出映像{i+1}的URL:{content['image']}")
else:
    print(f"HTTP返回碼：{response.status_code}")
    print(f"錯誤碼：{response.code}")
    print(f"錯誤資訊：{response.message}")
    print("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code")

import json
import os
import dashscope
from dashscope import MultiModalConversation
import base64
import mimetypes

# 以下為新加坡地區url，若使用北京地區的模型，需將url替換為：https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'


# ---用於 Base 64 編碼 ---
# 格式為 data:{mime_type};base64,{base64_data}
def encode_file(file_path):
    mime_type, _ = mimetypes.guess_type(file_path)
    if not mime_type or not mime_type.startswith("image/"):
        raise ValueError("不支援或無法識別的映像格式")

    try:
        with open(file_path, "rb") as image_file:
            encoded_string = base64.b64encode(
                image_file.read()).decode('utf-8')
        return f"data:{mime_type};base64,{encoded_string}"
    except IOError as e:
        raise IOError(f"讀取檔案時出錯: {file_path}, 錯誤: {str(e)}")


# 擷取映像的 Base 64 編碼
# 調用編碼函數，請將 "/path/to/your/image.png" 替換為您的本地圖片檔案路徑，否則無法運行
image = encode_file("/path/to/your/image.png")

messages = [
    {
        "role": "user",
        "content": [
            {"image": image},
            {"text": "產生一張符合深度圖的映像，遵循以下描述：一輛紅色的破舊的單車停在一條泥濘的小路上，背景是茂密的原始森林"}
        ]
    }
]

# 新加坡和北京地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# 若沒有配置環境變數，請用百鍊API Key將下行替換為：api_key="sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")

# qwen-image-edit-max、qwen-image-edit-plus系列支援輸出1-6張圖片，此處以2張為例
response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-edit-max",
    messages=messages,
    stream=False,
    n=2,
    watermark=False,
    negative_prompt=" ",
    prompt_extend=True,
    size="1536*1024",
)

if response.status_code == 200:
    # 如需查看完整響應，請取消下行注釋
    # print(json.dumps(response, ensure_ascii=False))
    for i, content in enumerate(response.output.choices[0].message.content):
        print(f"輸出映像{i+1}的URL:{content['image']}")
else:
    print(f"HTTP返回碼：{response.status_code}")
    print(f"錯誤碼：{response.code}")
    print(f"錯誤資訊：{response.message}")
    print("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code")

# 需要安裝requests以下載映像: pip install requests
import requests


def download_image(image_url, save_path='output.png'):
    try:
        response = requests.get(image_url, stream=True, timeout=300)  # 設定逾時
        response.raise_for_status()  # 如果HTTP狀態代碼不是200，則引發異常
        with open(save_path, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)
        print(f"映像已成功下載到: {save_path}")

    except requests.exceptions.RequestException as e:
        print(f"映像下載失敗: {e}")


image_url = "https://dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com/xxx.png?Expires=xxx"
download_image(image_url, save_path='output.png')

響應樣本

映像連結的有效期間為24小時，請及時下載映像。

input_tokens、output_tokens和characters為相容欄位，當前固定為0。

{
    "status_code": 200,
    "request_id": "fa41f9f9-3cb6-434d-a95d-4ae6b9xxxxxx",
    "code": "",
    "message": "",
    "output": {
        "text": null,
        "finish_reason": null,
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-hz.oss-cn-hangzhou.aliyuncs.com/xxx.png?Expires=xxx"
                        },
                        {
                            "image": "https://dashscope-result-hz.oss-cn-hangzhou.aliyuncs.com/xxx.png?Expires=xxx"
                        }
                    ]
                }
            }
        ],
        "audio": null
    },
    "usage": {
        "input_tokens": 0,
        "output_tokens": 0,
        "characters": 0,
        "height": 1536,
        "image_count": 2,
        "width": 1024
    }
}

請求樣本

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.utils.Constants;

import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.List;

public class QwenImageEdit {

    static {
        // 以下為新加坡地區url，若使用北京地區的模型，需將url替換為：https://dashscope.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
    }
    
    // 新加坡和北京地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // 若沒有配置環境變數，請用百鍊 API Key 將下行替換為：apiKey="sk-xxx"
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void call() throws ApiException, NoApiKeyException, UploadFileException, IOException {

        MultiModalConversation conv = new MultiModalConversation();

        // 模型支援輸入1-3張圖片
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/thtclx/input1.png"),
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/iclsnx/input2.png"),
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/gborgw/input3.png"),
                        Collections.singletonMap("text", "圖1中的女生穿著圖2中的黑色裙子按圖3的姿勢坐下")
                )).build();
        // qwen-image-edit-max、qwen-image-edit-plus系列支援輸出1-6張圖片，此處以2張為例
        Map<String, Object> parameters = new HashMap<>();
        parameters.put("watermark", false);
        parameters.put("negative_prompt", " ");
        parameters.put("n", 2);
        parameters.put("prompt_extend", true);
        parameters.put("size", "1024*1536");

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                .apiKey(apiKey)
                .model("qwen-image-edit-max")
                .messages(Collections.singletonList(userMessage))
                .parameters(parameters)
                .build();

        MultiModalConversationResult result = conv.call(param);
        // 如需查看完整響應，請取消下行注釋
        // System.out.println(JsonUtils.toJson(result));
        List<Map<String, Object>> contentList = result.getOutput().getChoices().get(0).getMessage().getContent();
        int imageIndex = 1;
        for (Map<String, Object> content : contentList) {
            if (content.containsKey("image")) {
                System.out.println("輸出映像" + imageIndex + "的URL：" + content.get("image"));
                imageIndex++;
            }
        }
    }

    public static void main(String[] args) {
        try {
            call();
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
    }
}

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.utils.Constants;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.Arrays;
import java.util.Base64;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.List;

public class QwenImageEdit {

    static {
        // 以下為新加坡地區url，若使用北京地區的模型，需將url替換為：https://dashscope.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
    }
    
    // 新加坡和北京地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // 若沒有配置環境變數，請用百鍊 API Key 將下行替換為：apiKey="sk-xxx"
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void call() throws ApiException, NoApiKeyException, UploadFileException, IOException {

        // 請將 "/path/to/your/image.png" 替換為您的本地圖片檔案路徑，否則無法運行
        String image = encodeFile("/path/to/your/image.png");

        MultiModalConversation conv = new MultiModalConversation();

        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", image),
                        Collections.singletonMap("text", "產生一張符合深度圖的映像，遵循以下描述：一輛紅色的破舊的單車停在一條泥濘的小路上，背景是茂密的原始森林")
                )).build();
        // qwen-image-edit-max、qwen-image-edit-plus系列支援輸出1-6張圖片，此處以2張為例
        Map<String, Object> parameters = new HashMap<>();
        parameters.put("watermark", false);
        parameters.put("negative_prompt", " ");
        parameters.put("n", 2);
        parameters.put("prompt_extend", true);
        parameters.put("size", "1536*1024");

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                .apiKey(apiKey)
                .model("qwen-image-edit-max")
                .messages(Collections.singletonList(userMessage))
                .parameters(parameters)
                .build();

        MultiModalConversationResult result = conv.call(param);
        // 如需查看完整響應，請取消下行注釋
        // System.out.println(JsonUtils.toJson(result));
        List<Map<String, Object>> contentList = result.getOutput().getChoices().get(0).getMessage().getContent();
        int imageIndex = 1;
        for (Map<String, Object> content : contentList) {
            if (content.containsKey("image")) {
                System.out.println("輸出映像" + imageIndex + "的URL：" + content.get("image"));
                imageIndex++;
            }
        }
    }

    /**
     * 將檔案編碼為Base64字串
     * @param filePath 檔案路徑
     * @return Base64字串，格式為 data:{mime_type};base64,{base64_data}
     */
    public static String encodeFile(String filePath) {
        Path path = Paths.get(filePath);
        if (!Files.exists(path)) {
            throw new IllegalArgumentException("檔案不存在: " + filePath);
        }
        // 檢測MIME類型
        String mimeType = null;
        try {
            mimeType = Files.probeContentType(path);
        } catch (IOException e) {
            throw new IllegalArgumentException("無法檢測檔案類型: " + filePath);
        }
        if (mimeType == null || !mimeType.startsWith("image/")) {
            throw new IllegalArgumentException("不支援或無法識別的映像格式");
        }
        // 讀取檔案內容並編碼
        byte[] fileBytes = null;
        try{
            fileBytes = Files.readAllBytes(path);
        } catch (IOException e) {
            throw new IllegalArgumentException("無法讀取檔案內容: " + filePath);
        }

        String encodedString = Base64.getEncoder().encodeToString(fileBytes);
        return "data:" + mimeType + ";base64," + encodedString;
    }

    public static void main(String[] args) {
        try {
            call();
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
    }
}

import java.io.FileOutputStream;
import java.io.InputStream;
import java.net.HttpURLConnection;
import java.net.URL;
 
public class ImageDownloader {
    public static void downloadImage(String imageUrl, String savePath) {
        try {
            URL url = new URL(imageUrl);
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();
            connection.setConnectTimeout(5000);
            connection.setReadTimeout(300000);
            connection.setRequestMethod("GET");
            InputStream inputStream = connection.getInputStream();
            FileOutputStream outputStream = new FileOutputStream(savePath);
            byte[] buffer = new byte[8192];
            int bytesRead;
            while ((bytesRead = inputStream.read(buffer)) != -1) {
                outputStream.write(buffer, 0, bytesRead);
            }
            inputStream.close();
            outputStream.close();
 
            System.out.println("映像已成功下載到: " + savePath);
        } catch (Exception e) {
            System.err.println("映像下載失敗: " + e.getMessage());
        }
    }
 
    public static void main(String[] args) {
        String imageUrl = "http://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxx?Expires=xxx";
        String savePath = "output.png";
        downloadImage(imageUrl, savePath);
    }
}

{
    "requestId": "46281da9-9e02-941c-ac78-be88b8xxxxxx",
    "usage": {
        "image_count": 2,
        "width": 1024,
        "height": 1536
    },
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com/xxx.png?Expires=xxx"
                        },
                        {
                            "image": "https://dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com/xxx.png?Expires=xxx"
                        }
                    ]
                }
            }
        ]
    }
}

映像存取權限配置

dashscope-result-bj.oss-cn-beijing.aliyuncs.com
dashscope-result-hz.oss-cn-hangzhou.aliyuncs.com
dashscope-result-sh.oss-cn-shanghai.aliyuncs.com
dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com
dashscope-result-zjk.oss-cn-zhangjiakou.aliyuncs.com
dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com
dashscope-result-hy.oss-cn-heyuan.aliyuncs.com
dashscope-result-cd.oss-cn-chengdu.aliyuncs.com
dashscope-result-gz.oss-cn-guangzhou.aliyuncs.com
dashscope-result-wlcb-acdr-1.oss-cn-wulanchabu-acdr-1.aliyuncs.com

錯誤碼

如果模型調用失敗並返回報錯資訊，請參見錯誤資訊進行解決。

Q：通義千問影像編輯模型支援哪些語言？

A：目前正式支援簡體中文和英文；其他語言可自行嘗試，但效果存在不確定性。

Q：上傳多張不同比例的參考圖時，輸出映像的比例以哪張為準？

A：預設情況下，輸出映像會以最後一張上傳的參考圖的比例為準。您也可以通過設定 parameters.size 參數來自訂輸出映像的尺寸。

Q：如何查看模型調用量？

A：模型的調用資訊存在小時級延遲，在模型調用完一小時後，請在模型觀測（新加坡或北京）頁面，查看調用量、調用次數、成功率等指標。詳情請參見賬單查詢與成本管理。