文本生成图像

Python

请求示例

import os
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Message

# 以下为北京地域base_url，各地域的base_url不同
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'

# 若没有配置环境变量，请用百炼API Key将下行替换为：api_key="sk-xxx"
# 各地域的API Key不同。获取API Key：https://help.aliyun.com/zh/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")


def main():
    message = Message(
        role="user",
        content=[
            {"text": "一位年轻女性，自然随性的自拍风格，超高清写实人物生活照。她身着黄色碎花长袖上衣，长发自然垂落且略带波浪卷。画面背景为户外自然景色，近处有绿植，远处可见水域和山峦。自然柔和的阳光洒在人物脸上和身上，形成自然的光影效果，拍摄机位为人物手持设备的中景自拍视角，人物身体自然站立，展现出轻松自在的状态。角度自然，随手一拍的快照风格，不经意间的抓拍。"}
        ]
    )
    
    # 提交异步任务
    print("提交异步任务...")
    response = ImageGeneration.async_call(
        model="wan2.7-image-pro",
        api_key=api_key,
        messages=[message],
        enable_sequential=False,
        n=1,
        size="2K"
    )
    
    if response.status_code == 200:
        print(f"任务提交成功，任务ID: {response.output.task_id}")
        
        # 等待任务完成
        status = ImageGeneration.wait(task=response, api_key=api_key)
        
        if status.output.task_status == "SUCCEEDED":
            print("任务完成!")
            print(f"结果:")
            print(status)
        else:
            print(f"任务失败，状态: {status.output.task_status}")
    else:
        print(f"任务创建失败: {response.code} - {response.message}")


if __name__ == "__main__":
    try:
        main()
    except Exception as e:
        print(f"错误: {e}")

响应示例

1、创建任务的响应示例

{
    "status_code": 200,
    "request_id": "4fb3050f-de57-4a24-84ff-e37ee5xxxxxx",
    "code": "",
    "message": "",
    "output": {
        "text": null,
        "finish_reason": null,
        "choices": null,
        "audio": null,
        "task_id": "77093787-a217-4c29-9cd4-ca7b5ac86xxx",
        "task_status": "PENDING"
    },
    "usage": {
        "input_tokens": 0,
        "output_tokens": 0,
        "characters": 0
    }
}

2、查询任务结果的响应示例

url 有效期24小时，请及时下载图像。

{
    "status_code": 200,
    "request_id": "56e318fd-ed60-99e8-8ca1-cdef25ca4xxx",
    "code": "",
    "message": "",
    "output": {
        "text": null,
        "finish_reason": null,
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ],
        "audio": null,
        "task_id": "77093787-a217-4c29-9cd4-ca7b5ac86xxx",
        "task_status": "SUCCEEDED",
        "submit_time": "2026-03-31 23:04:46.166",
        "scheduled_time": "2026-03-31 23:04:46.208",
        "end_time": "2026-03-31 23:05:11.664",
        "finished": true
    },
    "usage": {
        "input_tokens": 720,
        "output_tokens": 11,
        "characters": 0,
        "size": "2048*2048",
        "total_tokens": 731,
        "image_count": 1
    }
}

Java

请求示例

import com.alibaba.dashscope.aigc.imagegeneration.*;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

import java.util.Collections;

public class Main {

    static {
        // 以下为北京地域url，各地域的base_url不同
        Constants.baseHttpApiUrl = "https://dashscope.aliyuncs.com/api/v1";
    }

    // 若没有配置环境变量，请用百炼API Key将下行替换为：apiKey="sk-xxx"
    // 各地域的API Key不同。获取API Key：https://help.aliyun.com/zh/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static ImageGenerationResult waitTask(String taskId)
            throws ApiException, NoApiKeyException {
        ImageGeneration imageGeneration = new ImageGeneration();
        return imageGeneration.wait(taskId, apiKey);
    }

    public static void asyncCall() throws ApiException, NoApiKeyException, UploadFileException {
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Collections.singletonList(
                        Collections.singletonMap("text", "一位年轻女性，自然随性的自拍风格，超高清写实人物生活照。她身着黄色碎花长袖上衣，长发自然垂落且略带波浪卷。画面背景为户外自然景色，近处有绿植，远处可见水域和山峦。自然柔和的阳光洒在人物脸上和身上，形成自然的光影效果，拍摄机位为人物手持设备的中景自拍视角，人物身体自然站立，展现出轻松自在的状态。角度自然，随手一拍的快照风格，不经意间的抓拍。")
                )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.7-image-pro")
                .messages(Collections.singletonList(message))
                .enableSequential(false)
                .n(1)
                .size("2K")
                .build();

        ImageGeneration imageGeneration = new ImageGeneration();
        ImageGenerationResult taskResult = null;
        try {
            System.out.println("----async call, creating task----");
            taskResult = imageGeneration.asyncCall(param);
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            throw new RuntimeException(e.getMessage());
        }
        System.out.println("Task created: " + JsonUtils.toJson(taskResult));

        // 等待任务完成
        String taskId = taskResult.getOutput().getTaskId();
        ImageGenerationResult result = waitTask(taskId);
        System.out.println(JsonUtils.toJson(result));
    }

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

响应示例

1、创建任务的响应示例

{
    "requestId": "7d026dc1-e8c9-9caa-84ac-e82e2da97xxx",
    "output": {
        "task_id": "2de18c56-c151-4b80-8105-1d164733exxx",
        "task_status": "PENDING"
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

2、查询任务结果的响应示例

{
    "requestId": "daea7295-4ce0-928a-9a11-4d2bea058xxx",
    "usage": {
        "input_tokens": 720,
        "output_tokens": 11,
        "total_tokens": 731,
        "image_count": 1,
        "size": "2048*2048"
    },
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ],
        "task_id": "2de18c56-c151-4b80-8105-1d164733exxx",
        "task_status": "SUCCEEDED",
        "finished": true,
        "submit_time": "2026-03-31 19:49:53.124",
        "scheduled_time": "2026-03-31 19:49:53.175",
        "end_time": "2026-03-31 19:50:53.160"
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

curl

curl --location 'https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header "X-DashScope-Async: enable" \
--data '{
    "model": "wan2.7-image-pro",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {"text": "一间有着精致窗户的花店，漂亮的木质门，摆放着花朵"}
                ]
            }
        ]
    },
    "parameters": {
        "size": "2K",
        "n": 1,
        "watermark": false,
        "thinking_mode": true
    }
}'

curl -X GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id} \
--header "Authorization: Bearer $DASHSCOPE_API_KEY"

Python

import json
import os
import dashscope
from dashscope import MultiModalConversation

# 以下为北京地域url，若使用新加坡地域的模型，需将url替换为：https://dashscope-intl.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'

messages = [
    {
        "role": "user",
        "content": [
            {"text": "冬日北京的都市街景，青灰瓦顶、朱红色外墙的两间相邻中式商铺比肩而立，檐下悬挂印有剪纸马的暖光灯笼，在阴天漫射光中投下柔和光晕，映照湿润鹅卵石路面泛起细腻反光。左侧为书法店：靛蓝色老旧的牌匾上以遒劲行书刻着“文字渲染”。店门口的玻璃上挂着一幅字，自上而下，用田英章硬笔写着“专业幻灯片 中英文海报 高级信息图”，落款印章为“1k token”朱砂印。店内的墙上，可以模糊的辨认有三幅竖排的书法作品，第一幅写着着“阿里巴巴”，第二幅写着“通义千问”，第三福写着“图像生成”。一位白发苍苍的老人背对着镜头观赏。右侧为花店，牌匾上以鲜花做成文字“真实质感”；店内多层花架陈列红玫瑰、粉洋牡丹和绿植，门上贴了一个圆形花边标识，标识上写着“2k resolution”，门口摆放了一个彩色霓虹灯，上面写着“细腻刻画 人物 自然 建筑”。两家店中间堆放了一个雪人，举了一老式小黑板，上面用粉笔字写着“Qwen-Image-2.0 正式发布”。街道左侧，年轻情侣依偎在一起，女孩是瘦脸，身穿米白色羊绒大衣，肉色光腿神器。女孩举着心形透明气球，气球印有白色的字：“生图编辑二合一”。里面有一个毛茸茸的卡皮巴拉玩偶。男孩身着剪裁合体的深灰色呢子外套，内搭浅色高领毛衣。街道右侧，一个后背上写着“更小模型，更快速度”的骑手疾驰而过。整条街光影交织、动静相宜。"}
        ]
    }
]

# 新加坡和北京地域的API Key不同。获取API Key：https://help.aliyun.com/zh/model-studio/get-api-key
# 若没有配置环境变量，请用百炼API Key将下行替换为：api_key="sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")

response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-2.0-pro",
    messages=messages,
    result_format='message',
    stream=False,
    watermark=False,
    prompt_extend=True,
    negative_prompt="低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感。构图混乱。文字模糊，扭曲。",
    size='2048*2048'
)

if response.status_code == 200:
    print(json.dumps(response, ensure_ascii=False))
else:
    print(f"HTTP返回码：{response.status_code}")
    print(f"错误码：{response.code}")
    print(f"错误信息：{response.message}")
    print("请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code")

{
    "status_code": 200,
    "request_id": "d2d1a8c0-325f-9b9d-8b90-xxxxxx",
    "code": "",
    "message": "",
    "output": {
        "text": null,
        "finish_reason": null,
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.png?Expires=xxx"
                        }
                    ]
                }
            }
        ]
    },
    "usage": {
        "input_tokens": 0,
        "output_tokens": 0,
        "width": 2048,
        "image_count": 1,
        "height": 2048
    }
}

Java

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.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

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

public class QwenImage {

    static {
        // 以下为北京地域url，若使用新加坡地域的模型，需将url替换为：https://dashscope-intl.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope.aliyuncs.com/api/v1";
    }

    // 新加坡和北京地域的API Key不同。获取API Key：https://help.aliyun.com/zh/model-studio/get-api-key
    // 若没有配置环境变量，请用百炼API Key将下行替换为：static String apiKey ="sk-xxx"
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

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

        MultiModalConversation conv = new MultiModalConversation();

        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("text", "冬日北京的都市街景，青灰瓦顶、朱红色外墙的两间相邻中式商铺比肩而立，檐下悬挂印有剪纸马的暖光灯笼，在阴天漫射光中投下柔和光晕，映照湿润鹅卵石路面泛起细腻反光。左侧为书法店：靛蓝色老旧的牌匾上以遒劲行书刻着“文字渲染”。店门口的玻璃上挂着一幅字，自上而下，用田英章硬笔写着“专业幻灯片 中英文海报 高级信息图”，落款印章为“1k token”朱砂印。店内的墙上，可以模糊的辨认有三幅竖排的书法作品，第一幅写着着“阿里巴巴”，第二幅写着“通义千问”，第三福写着“图像生成”。一位白发苍苍的老人背对着镜头观赏。右侧为花店，牌匾上以鲜花做成文字“真实质感”；店内多层花架陈列红玫瑰、粉洋牡丹和绿植，门上贴了一个圆形花边标识，标识上写着“2k resolution”，门口摆放了一个彩色霓虹灯，上面写着“细腻刻画 人物 自然 建筑”。两家店中间堆放了一个雪人，举了一老式小黑板，上面用粉笔字写着“Qwen-Image-2.0 正式发布”。街道左侧，年轻情侣依偎在一起，女孩是瘦脸，身穿米白色羊绒大衣，肉色光腿神器。女孩举着心形透明气球，气球印有白色的字：“生图编辑二合一”。里面有一个毛茸茸的卡皮巴拉玩偶。男孩身着剪裁合体的深灰色呢子外套，内搭浅色高领毛衣。街道右侧，一个后背上写着“更小模型，更快速度”的骑手疾驰而过。整条街光影交织、动静相宜。")
                )).build();

        Map<String, Object> parameters = new HashMap<>();
        parameters.put("watermark", false);
        parameters.put("prompt_extend", true);
        parameters.put("negative_prompt", "低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感。构图混乱。文字模糊，扭曲。");
        parameters.put("size", "2048*2048");

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                .apiKey(apiKey)
                .model("qwen-image-2.0-pro")
                .messages(Collections.singletonList(userMessage))
                .parameters(parameters)
                .build();

        MultiModalConversationResult result = conv.call(param);
        System.out.println(JsonUtils.toJson(result));
    }

    public static void main(String[] args) {
        try {
            call();
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

{
    "requestId": "5b6f2d04-b019-40db-a5cc-xxxxxx",
    "usage": {
        "image_count": 1,
        "width": 2048,
        "height": 2048
    },
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.png?Expires=xxx"
                        }
                    ]
                }
            }
        ]
    }
}

curl

请求示例

curl --location 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
    "model": "qwen-image-2.0-pro",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "冬日北京的都市街景，青灰瓦顶、朱红色外墙的两间相邻中式商铺比肩而立，檐下悬挂印有剪纸马的暖光灯笼，在阴天漫射光中投下柔和光晕，映照湿润鹅卵石路面泛起细腻反光。左侧为书法店：靛蓝色老旧的牌匾上以遒劲行书刻着“文字渲染”。店门口的玻璃上挂着一幅字，自上而下，用田英章硬笔写着“专业幻灯片 中英文海报 高级信息图”，落款印章为“1k token”朱砂印。店内的墙上，可以模糊的辨认有三幅竖排的书法作品，第一幅写着着“阿里巴巴”，第二幅写着“通义千问”，第三福写着“图像生成”。一位白发苍苍的老人背对着镜头观赏。右侧为花店，牌匾上以鲜花做成文字“真实质感”；店内多层花架陈列红玫瑰、粉洋牡丹和绿植，门上贴了一个圆形花边标识，标识上写着“2k resolution”，门口摆放了一个彩色霓虹灯，上面写着“细腻刻画 人物 自然 建筑”。两家店中间堆放了一个雪人，举了一老式小黑板，上面用粉笔字写着“Qwen-Image-2.0 正式发布”。街道左侧，年轻情侣依偎在一起，女孩是瘦脸，身穿米白色羊绒大衣，肉色光腿神器。女孩举着心形透明气球，气球印有白色的字：“生图编辑二合一”。里面有一个毛茸茸的卡皮巴拉玩偶。男孩身着剪裁合体的深灰色呢子外套，内搭浅色高领毛衣。街道右侧，一个后背上写着“更小模型，更快速度”的骑手疾驰而过。整条街光影交织、动静相宜。"
                    }
                ]
            }
        ]
    },
    "parameters": {
        "negative_prompt": "低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感。构图混乱。文字模糊，扭曲。",
        "prompt_extend": true,
        "watermark": false,
        "size": "2048*2048"
    }
}'

curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
    "model": "qwen-image-2.0-pro",
    "input": {
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "text": "Healing-style hand-drawn poster featuring three puppies playing with a ball on lush green grass, adorned with decorative elements such as birds and stars. The main title “Come Play Ball!” is prominently displayed at the top in bold, blue cartoon font. Below it, the subtitle “Come [Show Off Your Skills]!” appears in green font. A speech bubble adds playful charm with the text: “Hehe, watch me amaze my little friends next!” At the bottom, supplementary text reads: “We get to play ball with our friends again!” The color palette centers on fresh greens and blues, accented with bright pink and yellow tones to highlight a cheerful, childlike atmosphere."
            }
          ]
        }
      ]
    },
    "parameters": {
      "negative_prompt": "低分辨率，低画质，肢体畸形，手指畸形，画面过饱和，蜡像感，人脸无细节，过度光滑，画面具有AI感。构图混乱。文字模糊，扭曲。",
      "prompt_extend": true,
      "watermark": false,
      "size": "2048*2048"
    }
}'

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "content": [
                        {
                            "image": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx"
                        }
                    ],
                    "role": "assistant"
                }
            }
        ]
    },
    "usage": {
        "height": 2048,
        "image_count": 1,
        "width": 2048
    },
    "request_id": "d0250a3d-b07f-49e1-bdc8-6793f4929xxx"
}