Wan2.7 - image generation and editing

Request example

import os
import base64
import mimetypes
import urllib.request
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Message

# The following base_url is for the China (Beijing) region. The base_url varies by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

# If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx"
# API keys vary by region. To obtain an API key, see https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

# --- Base64 encoding function ---
# The Base64 encoding format is 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("Unsupported or unrecognized image format")
    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}"

"""
Image input methods:
The following are three image input methods. Choose one.
1. Use a public URL - Suitable for publicly accessible images.
2. Use a local file - Suitable for local development and testing.
3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
"""
# [Method 1] Use a public image URL
image_1 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp"
image_2 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp"

# [Method 2] Use a local file (supports absolute and relative paths)
# image_1 = "file:///path/to/your/car.png"
# image_2 = "file:///path/to/your/paint.png"

# [Method 3] Use a Base64-encoded image
# image_1 = encode_file("/path/to/your/car.png")
# image_2 = encode_file("/path/to/your/paint.png")

message = Message(
    role="user",
    content=[
        {"text": "Spray-paint the graffiti from image 2 onto the car in image 1"},
        {"image": image_1},
        {"image": image_2},
    ],
)
print("----sync call, please wait a moment----")
rsp = ImageGeneration.call(
    model="wan2.7-image-pro",
    api_key=api_key,
    messages=[message],
    watermark=False,
    n=1,
    size="2K",  # The wan2.7-image-pro model supports 4K resolution only for text-to-image generation. Image editing and composite image generation support a maximum resolution of 2K.
)

# Fetch the URL of the generated image and save the image to a local file.
if rsp.status_code == 200:
    for i, choice in enumerate(rsp.output.choices):
        for j, content in enumerate(choice["message"]["content"]):
            if content.get("type") == "image":
                image_url = content["image"]
                file_name = f"output_{i}_{j}.png"
                # The URL of the generated image is valid for 24 hours. Download the image in a timely manner.
                urllib.request.urlretrieve(image_url, file_name)
                print(f"Image saved to {file_name}")
else:
    print(f"Failed: status_code={rsp.status_code}, message={rsp.message}")

Response example

The URL is valid for 24 hours. Download the image promptly.

{
    "status_code": 200,
    "request_id": "81d868c6-6ce1-92d8-a90d-d2ee71xxxxxx",
    "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,
        "finished": true
    },
    "usage": {
        "input_tokens": 18790,
        "output_tokens": 2,
        "characters": 0,
        "image_count": 1,
        "size": "2985*1405",
        "total_tokens": 18792
    }
}

Request example

import os
import base64
import mimetypes
import urllib.request
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Message
from http import HTTPStatus

# The following is the base_url for the China (Beijing) region. The base_url varies based on the region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx"
# The API key varies by region. To obtain an API key, see https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

# --- Base64 encoding function ---
# The Base64 encoding format is 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("Unsupported or unrecognized image format")
    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}"

"""
Image input methods
Choose one of the following three image input methods:
1. Use a public URL: Suitable for publicly accessible images.
2. Use a local file: Suitable for local development and testing.
3. Use Base64 encoding: Suitable for private images or scenarios that require encrypted transmission.
"""
# Method 1: Use a public image URL
image_1 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp"
image_2 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp"

# Method 2: Use a local file (supports absolute and relative paths)
# image_1 = "file:///path/to/your/car.png"
# image_2 = "file:///path/to/your/paint.png"

# Method 3: Use a Base64-encoded image
# image_1 = encode_file("/path/to/your/car.png")
# image_2 = encode_file("/path/to/your/paint.png")

# Create an asynchronous task
def create_async_task():
    print("Creating async task...")
    message = Message(
        role="user",
        content=[
            {"text": "Spray the graffiti from image 2 onto the car in image 1"},
            {"image": image_1},
            {"image": image_2},
        ],
    )
    response = ImageGeneration.async_call(
        model="wan2.7-image-pro",
        api_key=api_key,
        messages=[message],
        watermark=False,
        n=1,
        size="2K",  # wan2.7-image-pro supports 4K resolution only in Text-to-Image Generation scenarios. For image editing and multi-image generation, it supports a maximum resolution of 2K.
    )

    if response.status_code == 200:
        print("Task created successfully:", response)
        return response
    else:
        raise Exception(f"Failed to create task: {response.code} - {response.message}")

# Wait for the task to complete
def wait_for_completion(task_response):
    print("Waiting for task completion...")
    status = ImageGeneration.wait(task=task_response, api_key=api_key)

    if status.output.task_status == "SUCCEEDED":
        print("Task succeeded!")
        # Extract the URL of the result image and save it locally.
        for i, choice in enumerate(status.output.choices):
            for j, content in enumerate(choice["message"]["content"]):
                if content.get("type") == "image":
                    image_url = content["image"]
                    file_name = f"output_{i}_{j}.png"
                    # The result URL is valid for 24 hours. Download the image promptly.
                    urllib.request.urlretrieve(image_url, file_name)
                    print(f"Image saved to {file_name}")
    else:
        raise Exception(f"Task failed with status: {status.output.task_status}")

# Obtain information about the task
def fetch_task_status(task):
    print("Fetching task status...")
    status = ImageGeneration.fetch(task=task, api_key=api_key)

    if status.status_code == HTTPStatus.OK:
        print("Task status:", status.output.task_status)
        print("Response details:", status)
    else:
        print(f"Failed to fetch status: {status.code} - {status.message}")

# Cancel the asynchronous task
def cancel_task(task):
    print("Canceling task...")
    response = ImageGeneration.cancel(task=task, api_key=api_key)

    if response.status_code == HTTPStatus.OK:
        print("Task canceled successfully:", response.output.task_status)
    else:
        print(f"Failed to cancel task: {response.code} - {response.message}")

# Main execution flow
if __name__ == "__main__":
    task = create_async_task()
    wait_for_completion(task)

Response example

1. Response example for creating a task

   {
       "status_code": 200,
       "request_id": "4fb3050f-de57-4a24-84ff-e37ee5xxxxxx",
       "code": "",
       "message": "",
       "output": {
           "text": null,
           "finish_reason": null,
           "choices": null,
           "audio": null,
           "task_id": "127ec645-118f-4884-955d-0eba8dxxxxxx",
           "task_status": "PENDING"
       },
       "usage": {
           "input_tokens": 0,
           "output_tokens": 0,
           "characters": 0
       }
   }

2. Response example for querying a task result

   The URL is valid for 24 hours. Download the image promptly.

   {
       "status_code": 200,
       "request_id": "3b99aae5-d26f-9059-8dd0-ee9ca4804xxx",
       "code": null,
       "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": "127ec645-118f-4884-955d-0eba8dxxxxxx",
           "task_status": "SUCCEEDED",
           "submit_time": "2026-03-31 22:58:47.646",
           "scheduled_time": "2026-03-31 22:58:47.683",
           "end_time": "2026-03-31 22:58:59.642",
           "finished": true
       },
       "usage": {
           "input_tokens": 18711,
           "output_tokens": 2,
           "characters": 0,
           "size": "2985*1405",
           "total_tokens": 18713,
           "image_count": 1
       }
   }

Request example

import os
import base64
import mimetypes
import urllib.request
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Message

# The following base_url is for the China (Beijing) region. The base_url varies by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

# If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx"
# API keys vary by region. To obtain an API key, visit: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

# --- Base64 encoding function ---
# The Base64 encoding format is 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("Unsupported or unrecognized image format")
    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}"

"""
Description of image input methods (for image-to-image sequence generation):
Three image input methods are provided below. Choose one.
1. Use a public URL - Suitable for publicly accessible images.
2. Use a local file - Suitable for local development and testing.
3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
"""
# [Method 1] Use a public image URL
# image_1 = "https://img.alicdn.com/imgextra/i4/O1CN01IM44WN23dq5uY1yla_!!6000000007279-49-tps-1024-1024.webp"

# [Method 2] Use a local file (supports absolute and relative paths)
# image_1 = "file:///path/to/your/image.png"

# [Method 3] Use a Base64-encoded image
# image_1 = encode_file("/path/to/your/image.png")

message = Message(
    role="user",
    content=[
        {
            "text": "A cinematic image sequence that documents the same stray orange cat, whose features must remain consistent across all images. First image: In spring, the cat weaves through blooming cherry blossom trees. Second image: In summer, the cat cools off in the shade of a tree on an old street. Third image: In autumn, the cat walks on a ground covered with golden fallen leaves. Fourth image: In winter, the cat walks on the snow, leaving footprints."
        }
        # Image-to-image sequence generation scenario: Uncomment the following lines and comment out the plain text above.
        # {"text": "Generate a four-seasons image sequence based on the style of the reference image."},
        # {"image": image_1}
    ],
)

print("----sync call, please wait a moment----")
rsp = ImageGeneration.call(
    model="wan2.7-image-pro",
    api_key=api_key,
    messages=[message],
    enable_sequential=True,
    n=4,
    size="2K",  # wan2.7-image-pro supports 4K resolution only for text-to-image generation. Image editing and image sequence generation support a maximum resolution of 2K.
)

# Extract the result image URLs and save them to a local directory.
if rsp.status_code == 200:
    for i, choice in enumerate(rsp.output.choices):
        for j, content in enumerate(choice["message"]["content"]):
            if content.get("type") == "image":
                image_url = content["image"]
                file_name = f"output_{i}_{j}.png"
                # The result URLs are valid for 24 hours. Download the images promptly.
                urllib.request.urlretrieve(image_url, file_name)
                print(f"Image saved to {file_name}")
else:
    print(f"Failed: status_code={rsp.status_code}, message={rsp.message}")

Response example

The URL is valid for 24 hours. Download the image promptly.

{
    "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"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ],
        "audio": null,
        "finished": true
    },
    "usage": {
        "input_tokens": 720,
        "output_tokens": 11,
        "characters": 0,
        "image_count": 4,
        "size": "2048*2048",
        "total_tokens": 731
    }
}

Request example

import os
import base64
import mimetypes
import urllib.request
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Message

# The following base_url is for the China (Beijing) region. The base_url varies by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

# If the environment variable is not configured, replace the following line with your Model Studio API key: api_key="sk-xxx"
# The API key varies by region. To obtain an API key, visit: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

# --- Base64 encoding function ---
# The Base64 encoding format is 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("Unsupported or unrecognized image format")
    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}"

"""
Image input methods (for image-to-image sequence generation scenarios):
The following three image input methods are provided. Choose one.
1. Use a public URL - Suitable for publicly accessible images.
2. Use a local file - Suitable for local development and testing.
3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
"""
# [Method 1] Use a public image URL
# image_1 = "https://img.alicdn.com/imgextra/i4/O1CN01IM44WN23dq5uY1yla_!!6000000007279-49-tps-1024-1024.webp"

# [Method 2] Use a local file (supports absolute and relative paths)
# image_1 = "file:///path/to/your/image.png"

# [Method 3] Use a Base64-encoded image
# image_1 = encode_file("/path/to/your/image.png")

def main():
    message = Message(
        role="user",
        content=[
            {
                "text": "A cinematic image sequence featuring the same stray orange cat. Its features must be consistent across all images. First image: In spring, the orange cat weaves through blooming cherry blossom trees. Second image: In summer, the orange cat cools off in the shade of a tree on an old street. Third image: In autumn, the orange cat walks on a carpet of golden fallen leaves. Fourth image: In winter, the orange cat leaves footprints as it walks on the snow."
            }
            # Image-to-image sequence generation scenario: Uncomment the following lines and comment out the plain text above.
            # {"text": "Generate an image sequence of the four seasons based on the style of the reference image."},
            # {"image": image_1}
        ],
    )

    # Submit an asynchronous task
    print("Submitting an asynchronous task...")
    response = ImageGeneration.async_call(
        model="wan2.7-image-pro",
        api_key=api_key,
        messages=[message],
        enable_sequential=True,
        n=4,
        size="2K",  # The wan2.7-image-pro model supports 4K resolution only in text-to-image generation scenarios. Image editing and image sequence generation support a maximum resolution of 2K.
    )

    if response.status_code == 200:
        print(f"Task submitted successfully. Task ID: {response.output.task_id}")

        # Wait for the task to complete
        status = ImageGeneration.wait(task=response, api_key=api_key)

        if status.output.task_status == "SUCCEEDED":
            print("Task completed!")
            # Extract the resulting image URLs and save them to local files
            for i, choice in enumerate(status.output.choices):
                for j, content in enumerate(choice["message"]["content"]):
                    if content.get("type") == "image":
                        image_url = content["image"]
                        file_name = f"output_{i}_{j}.png"
                        # The result URL is valid for 24 hours. Download the image promptly.
                        urllib.request.urlretrieve(image_url, file_name)
                        print(f"Image saved to {file_name}")
        else:
            print(f"Task failed. Status: {status.output.task_status}")
    else:
        print(f"Failed to create the task: {response.code} - {response.message}")

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

Response example

1. Response example for creating a task

   {
       "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. Response example for querying a task result

   The URL is valid for 24 hours. Download the image promptly.

   {
       "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"
                           },
                           {
                               "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                               "type": "image"
                           },
                           {
                               "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                               "type": "image"
                           },
                           {
                               "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": 4
       }
   }

Request example

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.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.StandardCopyOption;
import java.util.Arrays;
import java.util.Base64;
import java.util.Collections;
import java.util.List;
import java.util.Map;

/**
 * wan2.7-image-pro Image Editing - Synchronous Call Example
 */
public class Main {

    static {
        // The following URL is for the China (Beijing) region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey="sk-xxx"
    // The API key varies by region. To obtain an API key, visit: https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    // --- Base64 Encoding Function ---
    // The Base64 encoding format is data:{MIME_type};base64,{base64_data}
    public static String encodeFile(String filePath) throws IOException {
        byte[] fileContent = Files.readAllBytes(Paths.get(filePath));
        String base64String = Base64.getEncoder().encodeToString(fileContent);
        String mimeType = Files.probeContentType(Paths.get(filePath));
        return "data:" + mimeType + ";base64," + base64String;
    }

    public static void basicCall() throws ApiException, NoApiKeyException, UploadFileException, IOException {
        /*
         * Description of image input methods:
         * The following are three image input methods. You can choose one of them.
         * 1. Use a public URL - Suitable for images that are already publicly accessible.
         * 2. Use a local file - Suitable for local development and testing.
         * 3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
         */
        // [Method 1] Use a public image URL
        String image1 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp";
        String image2 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp";

        // [Method 2] Use a local file (supports absolute and relative paths)
        // Required format: file:// + file path
        // String image1 = "file:///path/to/your/car.png";
        // String image2 = "file:///path/to/your/paint.png";

        // [Method 3] Use a Base64-encoded image
        // String image1 = encodeFile("/path/to/your/car.png");
        // String image2 = encodeFile("/path/to/your/paint.png");

        // Build a multi-image input message
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Arrays.asList(
                        // Multi-image input is supported. You can provide multiple reference images.
                        Collections.singletonMap("text", "Spray-paint the graffiti from image 2 onto the car in image 1."),
                        Collections.singletonMap("image", image1),
                        Collections.singletonMap("image", image2)
                )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.7-image-pro")
                .messages(Collections.singletonList(message))
                .n(1)
                .size("2K") // For wan2.7-image-pro, only text-to-image generation scenarios support 4K resolution. Image editing and composite image generation support a maximum resolution of 2K.
                .build();

        ImageGeneration imageGeneration = new ImageGeneration();
        ImageGenerationResult result = null;
        try {
            System.out.println("---sync call for image editing, please wait a moment----");
            result = imageGeneration.call(param);
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            throw new RuntimeException(e.getMessage());
        }
        // Extract the result image URL and save it to a local file.
        for (int i = 0; i < result.getOutput().getChoices().size(); i++) {
            List<Map<String, Object>> contents = result.getOutput().getChoices().get(i)
                    .getMessage().getContent();
            for (int j = 0; j < contents.size(); j++) {
                if ("image".equals(contents.get(j).get("type"))) {
                    String imageUrl = (String) contents.get(j).get("image");
                    String fileName = "output_" + i + "_" + j + ".png";
                    // The result URL is valid for 24 hours. Please download the image promptly.
                    try (InputStream in = new URL(imageUrl).openStream()) {
                        Files.copy(in, Paths.get(fileName), StandardCopyOption.REPLACE_EXISTING);
                    }
                    System.out.println("Image saved to " + fileName);
                }
            }
        }
    }

    public static void main(String[] args) throws ApiException, NoApiKeyException, UploadFileException, IOException {
        basicCall();
    }
}

Response example

The URL is valid for 24 hours. Save it promptly.

{
    "requestId": "1bf6173a-e8de-9f75-94d3-5e618f875xxx",
    "usage": {
        "input_tokens": 18790,
        "output_tokens": 2,
        "total_tokens": 18792,
        "image_count": 1,
        "size": "2985*1405"
    },
    "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"
                        }
                    ]
                }
            }
        ],
        "finished": true
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

Request example

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.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.StandardCopyOption;
import java.util.Arrays;
import java.util.Base64;
import java.util.Collections;
import java.util.List;
import java.util.Map;

/**
 * wan2.7-image-pro image editing - Asynchronous invocation example
 */
public class Main {

    static {
        // The following URL is for the China (Beijing) region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with your Model Studio API key: apiKey="sk-xxx"
    // API keys are region-specific. To obtain an API key, visit: https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    // --- Base64 encoding function ---
    // The Base64 encoding format is data:{MIME_type};base64,{base64_data}
    public static String encodeFile(String filePath) throws IOException {
        byte[] fileContent = Files.readAllBytes(Paths.get(filePath));
        String base64String = Base64.getEncoder().encodeToString(fileContent);
        String mimeType = Files.probeContentType(Paths.get(filePath));
        return "data:" + mimeType + ";base64," + base64String;
    }

    public static void asyncCall() throws ApiException, NoApiKeyException, UploadFileException, IOException {
        /*
         * Description of image input methods:
         * Three image input methods are provided below. Choose one.
         * 1. Use a public URL - Suitable for publicly accessible images.
         * 2. Use a local file - Suitable for local development and testing.
         * 3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
         */
        // [Method 1] Use a public image URL
        String image1 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp";
        String image2 = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp";

        // [Method 2] Use a local file (supports absolute and relative paths)
        // Required format: file:// + file path
        // String image1 = "file:///path/to/your/car.png";
        // String image2 = "file:///path/to/your/paint.png";

        // [Method 3] Use a Base64-encoded image
        // String image1 = encodeFile("/path/to/your/car.png");
        // String image2 = encodeFile("/path/to/your/paint.png");

        // Build a multi-image input message
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Arrays.asList(
                        // Multi-image input is supported. You can provide multiple reference images.
                        Collections.singletonMap("text", "Spray the graffiti from image 2 onto the car in image 1"),
                        Collections.singletonMap("image", image1),
                        Collections.singletonMap("image", image2)
                )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.7-image-pro")
                .n(1)
                .size("2K") // The wan2.7-image-pro model supports 4K resolution only for text-to-image generation. For image editing and composition, the maximum supported resolution is 2K.
                .messages(Arrays.asList(message))
                .build();

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

        String taskId = result.getOutput().getTaskId();
        // Wait for the task to complete.
        waitTask(taskId);
    }

    public static void waitTask(String taskId) throws ApiException, NoApiKeyException, IOException {
        ImageGeneration imageGeneration = new ImageGeneration();
        System.out.println("\n---waiting for task completion----");
        ImageGenerationResult result = imageGeneration.wait(taskId, apiKey);
        // Extract the URL of the result image and save it locally.
        for (int i = 0; i < result.getOutput().getChoices().size(); i++) {
            List<Map<String, Object>> contents = result.getOutput().getChoices().get(i)
                    .getMessage().getContent();
            for (int j = 0; j < contents.size(); j++) {
                if ("image".equals(contents.get(j).get("type"))) {
                    String imageUrl = (String) contents.get(j).get("image");
                    String fileName = "output_" + i + "_" + j + ".png";
                    // The result URL is valid for 24 hours. Download the image in a timely manner.
                    try (InputStream in = new URL(imageUrl).openStream()) {
                        Files.copy(in, Paths.get(fileName), StandardCopyOption.REPLACE_EXISTING);
                    }
                    System.out.println("Image saved to " + fileName);
                }
            }
        }
    }

    public static void main(String[] args) throws ApiException, NoApiKeyException, UploadFileException, IOException {
        asyncCall();
    }
}

Response example

1. Response example for creating a task

   {
       "requestId": "ccf4b2f4-bf30-9e13-9461-3a28c6a7bxxx",
       "output": {
           "task_id": "8811b4a4-00ac-4aa2-a2fd-017d3b90cxxx",
           "task_status": "PENDING"
       },
       "status_code": 200,
       "code": "",
       "message": ""
   }

2. Response example for querying a task result

   The URL is valid for 24 hours. Save it promptly.

   {
       "requestId": "60a08540-f1c1-9e76-8cd3-d5949db8cxxx",
       "usage": {
           "input_tokens": 18711,
           "output_tokens": 2,
           "total_tokens": 18713,
           "image_count": 1,
           "size": "2985*1405"
       },
       "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": "8811b4a4-00ac-4aa2-a2fd-017d3b90cxxx",
           "task_status": "SUCCEEDED",
           "finished": true,
           "submit_time": "2026-03-31 19:57:58.840",
           "scheduled_time": "2026-03-31 19:57:58.877",
           "end_time": "2026-03-31 19:58:11.563"
       },
       "status_code": 200,
       "code": "",
       "message": ""
   }

Request example

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.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.StandardCopyOption;
import java.util.Arrays;
import java.util.Base64;
import java.util.Collections;
import java.util.List;
import java.util.Map;

/**
 * Example of a synchronous call for wan2.7-image-pro image series generation in the China (Beijing) region
 */
public class Main {

    static {
        // The following is the URL for the China (Beijing) region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with your Model Studio API key: apiKey="sk-xxx"
    // The API key varies by region. To obtain an API key, visit https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    // --- Base64 encoding function ---
    // The Base64 encoding format is data:{MIME_type};base64,{base64_data}
    public static String encodeFile(String filePath) throws IOException {
        byte[] fileContent = Files.readAllBytes(Paths.get(filePath));
        String base64String = Base64.getEncoder().encodeToString(fileContent);
        String mimeType = Files.probeContentType(Paths.get(filePath));
        return "data:" + mimeType + ";base64," + base64String;
    }

    public static void basicCall() throws ApiException, NoApiKeyException, UploadFileException, IOException {
        /*
         * Instructions for image input (for image-to-image series generation scenarios):
         * The following three methods are provided for image input. Choose one of them.
         * 1. Use a public URL - suitable for publicly accessible images.
         * 2. Use a local file - suitable for local development and testing.
         * 3. Use Base64 encoding - suitable for private images or scenarios that require encrypted transmission.
         */
        // [Method 1] Use a public image URL
        // String image1 = "https://img.alicdn.com/imgextra/i4/O1CN01IM44WN23dq5uY1yla_!!6000000007279-49-tps-1024-1024.webp";

        // [Method 2] Use a local file (supports absolute and relative paths)
        // Required format: file:// + file path
        // String image1 = "file:///path/to/your/image.png";

        // [Method 3] Use a Base64-encoded image
        // String image1 = encodeFile("/path/to/your/image.png");

        // Build the text input message (supports text-to-image series and image-to-image series generation. This example uses text-to-image series generation).
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Collections.singletonList(
                        Collections.singletonMap("text", "A cinematic image series documenting the same stray orange cat. The cat's features must be consistent across all images. Image 1: In spring, the orange cat weaves through blooming cherry blossom trees. Image 2: In summer, the orange cat cools off in the shade of a tree on an old street. Image 3: In autumn, the orange cat walks on a carpet of golden fallen leaves. Image 4: In winter, the orange cat leaves footprints in the snow.")
                )).build();
        // For image-to-image series generation scenarios: uncomment the following code and comment out the plain text construction above.
        // ImageGenerationMessage message = ImageGenerationMessage.builder()
        //         .role("user")
        //         .content(Arrays.asList(
        //                 Collections.singletonMap("text", "Generate an image series of the four seasons based on the style of the reference image"),
        //                 Collections.singletonMap("image", image1)
        //         )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.7-image-pro")
                .messages(Collections.singletonList(message))
                .enableSequential(true)
                .n(4)
                .size("2K") // The wan2.7-image-pro model supports 4K resolution only for text-to-image generation. Image editing and image series generation support a maximum resolution of 2K.
                .build();

        ImageGeneration imageGeneration = new ImageGeneration();
        ImageGenerationResult result = null;
        try {
            System.out.println("----sync call, please wait a moment----");
            result = imageGeneration.call(param);
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            throw new RuntimeException(e.getMessage());
        }
        // Extract the resulting image URLs and save them locally.
        for (int i = 0; i < result.getOutput().getChoices().size(); i++) {
            List<Map<String, Object>> contents = result.getOutput().getChoices().get(i)
                    .getMessage().getContent();
            for (int j = 0; j < contents.size(); j++) {
                if ("image".equals(contents.get(j).get("type"))) {
                    String imageUrl = (String) contents.get(j).get("image");
                    String fileName = "output_" + i + "_" + j + ".png";
                    // The result URLs are valid for 24 hours. Download the images in a timely manner.
                    try (InputStream in = new URL(imageUrl).openStream()) {
                        Files.copy(in, Paths.get(fileName), StandardCopyOption.REPLACE_EXISTING);
                    }
                    System.out.println("Image saved to " + fileName);
                }
            }
        }
    }

    public static void main(String[] args) throws ApiException, NoApiKeyException, UploadFileException, IOException {
        basicCall();
    }
}

Response example

The URL is valid for 24 hours. Save it promptly.

{
    "requestId": "4678c314-b37a-91c9-a2ae-2d3cd54bbxxx",
    "usage": {
        "input_tokens": 720,
        "output_tokens": 11,
        "total_tokens": 731,
        "image_count": 4,
        "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"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        },
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ],
        "finished": true
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

Request example

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.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.StandardCopyOption;
import java.util.Arrays;
import java.util.Base64;
import java.util.Collections;
import java.util.List;
import java.util.Map;

/**
 * An example of asynchronous invocation for image set generation using wan2.7-image-pro in the China (Beijing) region.
 */
public class Main {

    static {
        // The following URL is for the China (Beijing) region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with your Model Studio API key: apiKey="sk-xxx"
    // The API key varies by region. To obtain an API key, visit https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    // --- Base64 encoding function ---
    // The format for Base64 encoding is data:{MIME_type};base64,{base64_data}
    public static String encodeFile(String filePath) throws IOException {
        byte[] fileContent = Files.readAllBytes(Paths.get(filePath));
        String base64String = Base64.getEncoder().encodeToString(fileContent);
        String mimeType = Files.probeContentType(Paths.get(filePath));
        return "data:" + mimeType + ";base64," + base64String;
    }

    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, IOException {
        /*
         * Description of image input methods (for image-to-image set generation):
         * Three image input methods are provided. Choose one of them.
         * 1. Use a public URL - Suitable for publicly accessible images.
         * 2. Use a local file - Suitable for local development and testing.
         * 3. Use Base64 encoding - Suitable for private images or scenarios that require encrypted transmission.
         */
        // Method 1: Use a public image URL
        // String image1 = "https://img.alicdn.com/imgextra/i4/O1CN01IM44WN23dq5uY1yla_!!6000000007279-49-tps-1024-1024.webp";

        // Method 2: Use a local file (Supports absolute and relative paths)
        // Required format: file:// + file path
        // String image1 = "file:///path/to/your/image.png";

        // Method 3: Use a Base64-encoded image
        // String image1 = encodeFile("/path/to/your/image.png");

        // Build the text input message. Both text-to-image set and image-to-image set generation are supported. This is an example of text-to-image set generation.
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Collections.singletonList(
                        Collections.singletonMap("text", "A cinematic image set documenting the same stray ginger cat, whose features must be consistent across all images. First image: In spring, the ginger cat weaves through blooming cherry blossom trees. Second image: In summer, the ginger cat cools off in the shade of a tree on an old street. Third image: In autumn, the ginger cat steps on a ground covered with golden fallen leaves. Fourth image: In winter, the ginger cat walks on the snow, leaving footprints.")
                )).build();
        // For image-to-image set generation scenarios, uncomment the following code and comment out the preceding plain text construction.
        // ImageGenerationMessage message = ImageGenerationMessage.builder()
        //         .role("user")
        //         .content(Arrays.asList(
        //                 Collections.singletonMap("text", "Generate an image set of the four seasons based on the style of the reference image."),
        //                 Collections.singletonMap("image", image1)
        //         )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.7-image-pro")
                .messages(Collections.singletonList(message))
                .enableSequential(true)
                .n(4)
                .size("2K") // wan2.7-image-pro supports 4K resolution only in text-to-image generation scenarios. Image editing and image set generation support a maximum resolution of 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));

        // Wait for the task to complete.
        String taskId = taskResult.getOutput().getTaskId();
        ImageGenerationResult result = waitTask(taskId);
        // Extract the URLs of the generated images and save the images to your local device.
        for (int i = 0; i < result.getOutput().getChoices().size(); i++) {
            List<Map<String, Object>> contents = result.getOutput().getChoices().get(i)
                    .getMessage().getContent();
            for (int j = 0; j < contents.size(); j++) {
                if ("image".equals(contents.get(j).get("type"))) {
                    String imageUrl = (String) contents.get(j).get("image");
                    String fileName = "output_" + i + "_" + j + ".png";
                    // The generated URLs are valid for 24 hours. Download the images in a timely manner.
                    try (InputStream in = new URL(imageUrl).openStream()) {
                        Files.copy(in, Paths.get(fileName), StandardCopyOption.REPLACE_EXISTING);
                    }
                    System.out.println("Image saved to " + fileName);
                }
            }
        }
    }

    public static void main(String[] args) throws ApiException, NoApiKeyException, UploadFileException, IOException {
        asyncCall();
    }
}

Response example

1. Response example for creating a task

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

2. Response example for querying a task result

   The URL is valid for 24 hours. Save it promptly.

   {
       "requestId": "daea7295-4ce0-928a-9a11-4d2bea058xxx",
       "usage": {
           "input_tokens": 720,
           "output_tokens": 11,
           "total_tokens": 731,
           "image_count": 4,
           "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"
                           },
                           {
                               "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                               "type": "image"
                           },
                           {
                               "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxxxx.png?Expires=xxxxxx",
                               "type": "image"
                           },
                           {
                               "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": ""
   }