Image editing - Wan2.5 to 2.7
Edit images with text instructions using Wan models. Supports multi-image input/output, image fusion, subject preservation, and object detection.
Getting started
Generate an edited image from two input images and a text prompt with wan2.7-image-pro.
Prompt: Spray the graffiti from image 2 onto the car in image 1
Input image 1 | Input image 2 | Output image (wan2.7-image-pro) |
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Before making a call, get an API key and export the API key as an environment variable. To make calls using the SDK, install the DashScope SDK.
Synchronous call
Ensure that the DashScope Python SDK version is 1.25.15 or later, and the DashScope Java SDK version is 2.22.13 or later.
Python
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 is the base_url for the Singapore region. The base_url varies by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"
# If you have not configured environment variables, 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://www.alibabacloud.com/help/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 methods for image input. You need to choose only one.
1. Use a public URL: This method is suitable for publicly accessible images.
2. Use a local file: This method is suitable for local development and testing.
3. Use Base64 encoding: This method is 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 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", # wan2.7-image-pro supports 4K resolution only for text-to-image generation. Image editing and multi-image generation support up to 2K resolution.
)
# Extract the result image URL 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 result URL is valid for 24 hours. Please download it 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": "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
}
}
Java
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 is the URL for the Singapore region. The base_url varies by region.
Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
}
// If you have not configured an 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://www.alibabacloud.com/help/en/model-studio/get-api-key
static String apiKey = System.getenv("DASHSCOPE_API_KEY");
// --- Base64 encoding function ---
// Base64 encoding format: 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:
* Three image input methods are provided below. Select 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. Both absolute and relative paths are supported.
// 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")
.messages(Collections.singletonList(message))
.n(1)
.size("2K") // For wan2.7-image-pro, only the text-to-image generation scenario supports 4K resolution. Image editing and collage 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. 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 {
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": ""
}
curl
Request example
curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
"model": "wan2.7-image-pro",
"input": {
"messages": [
{
"role": "user",
"content": [
{"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp"},
{"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp"},
{"text": "Spray-paint the graffiti from image 2 onto the car in image 1"}
]
}
]
},
"parameters": {
"size": "2K",
"n": 1,
"watermark": false
}
}'
Response example
{
"output": {
"choices": [
{
"finish_reason": "stop",
"message": {
"content": [
{
"image": "https://dashscope-xxx.oss-xxx.aliyuncs.com/xxx.png?Expires=xxx",
"type": "image"
}
],
"role": "assistant"
}
}
],
"finished": true
},
"usage": {
"image_count": 1,
"input_tokens": 10867,
"output_tokens": 2,
"size": "1488*704",
"total_tokens": 10869
},
"request_id": "71dfc3c6-f796-9972-97e4-bc4efc4faxxx"
}Asynchronous call
Ensure that the DashScope Python SDK version is 1.25.15 or later, and the DashScope Java SDK version is 2.22.13 or later.
Python
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 Singapore region. The base_url varies by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"
# If you have not configured environment variables, 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://www.alibabacloud.com/help/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:
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://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 for text-to-image generation scenarios. Image editing and collage generation support 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 result image URL and save the image to a local file.
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 in a timely manner.
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 asynchronous 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
-
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 } } -
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 } }
Java
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 Singapore region. The base_url varies by region.
Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
}
// If you have not configured an 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://www.alibabacloud.com/help/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:
* The following three image input methods are provided. You can 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 scenarios that involve private images or 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(
// Supports multi-image input. 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")
.n(1)
.size("2K") // The wan2.7-image-pro model supports 4K resolution only for text-to-image generation. For image editing and composite image generation, 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);
// Fetch the resulting 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. 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
-
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": "" } -
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": "" }
curl
Step 1: Create a task to get the task ID
curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.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": [
{"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/pjeqdf/car.webp"},
{"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20251229/xsunlm/paint.webp"},
{"text": "Spray-paint the graffiti from image 2 onto the car in image 1"}
]
}
]
},
"parameters": {
"size": "2K",
"n": 1,
"watermark": false
}
}'
Response example
{
"output": {
"task_status": "PENDING",
"task_id": "0385dc79-5ff8-4d82-bcb6-xxxxxx"
},
"request_id": "4909100c-7b5a-9f92-bfe5-xxxxxx"
}Step 2: Query the result by task ID
Use the task_id obtained in the previous step to poll the task status through the API until the task_status becomes SUCCEEDED or FAILED.
Replace {task_id} with the task_id value returned by the previous API call. The task_id is valid for queries for 24 hours.
curl -X GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id} \
--header "Authorization: Bearer $DASHSCOPE_API_KEY"Response example
The image URL is valid for 24 hours. Download the image promptly.
{
"request_id": "810fa5f5-334c-91f3-aaa4-ed89cf0caxxx",
"output": {
"task_id": "a81ee7cb-014c-473d-b842-76e98311cxxx",
"task_status": "SUCCEEDED",
"submit_time": "2026-03-26 17:16:01.663",
"scheduled_time": "2026-03-26 17:16:01.716",
"end_time": "2026-03-26 17:16:22.961",
"finished": true,
"choices": [
{
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": [
{
"image": "https://dashscope-xxx.oss-xxx.aliyuncs.com/xxx.png?Expires=xxx",
"type": "image"
}
]
}
}
]
},
"usage": {
"size": "2976*1408",
"total_tokens": 11017,
"image_count": 1,
"output_tokens": 2,
"input_tokens": 11015
}
}wan2.5-i2i-preview uses different API endpoints and parameters.
Model selection
wan2.7-image-pro and wan2.7-image (recommended): Best for precise editing or generating multiple coherent images.
Precise local editing: Select a specific area to move, replace, or add elements. Ideal for e-commerce retouching and design adjustments.
Multi-panel generation: Generate multiple consistent-style images in one call. Ideal for comic storyboards and product series.
wan2.6-image: Stylized editing with mixed text/images or multiple references. Generates text in images and accepts up to four reference images.
wan2.5-i2i-preview: Suitable for simple image editing and multi-image fusion.
For the input and output specifications of each model, see Input image specifications and Output image resolution.
Demo gallery
Image-to-image set
Input image | Output image |
|
|
|
|
Interactive editing
Input image | Output image |
|
Edit based on image 1. Replace the raspberry selected in box 1 with a lemon, the raspberry in box 2 with a strawberry, and the raspberry in box 3 with a blueberry. The result should be harmoniously integrated with the original image, without the reference boxes and numbers, and keep the rest of the content unchanged. |
|
Place the selected pattern from image 1 into the selected area in image 2. |
Multi-image fusion
Input image | Output image |
|
Take a portrait of the boy from image 1 and the dog from image 2. The boy is hugging the dog, and both are very happy. Studio soft lighting, blue textured background. |
|
Recolor the dress from image 1 using the colors of the bird in image 2. Make it artistic, but keep the style of the dress and the model unchanged. |
Subject feature preservation
Input image | Output image |
|
Please generate a set of four Polaroid photos with the theme "Seasonal Changes". Each photo is taken at the same location, under a tree in a park, but shows the scenes of spring, summer, autumn, and winter respectively. The person's attire should also match the season: a light jacket in spring, a short-sleeved shirt in summer, a trench coat in autumn, and a scarf and thick coat in winter. Place this set of photos on a dining table. |
Detection and segmentation
Input image | Output image |
|
Detect the laptop and alarm clock in the image, draw bounding boxes, and label them "laptop" and "clock". |
|
Segment the glass cup in the image. |
Extract elements
Input image | Output image |
|
Extract the clothing items from the uploaded photo and arrange them in a flat-lay display on a pure white background. Maintain realistic details and material textures. Fashion e-commerce style, suitable for clothing display. |
Text editing
Input image | Output image |
|
Remove all watermarks from the image. |
|
Casually write "Time for Holiday?" on the sand with a hand. |
|
Change 18 to 29 and JUNE to SEPTEMBER. |
Camera and perspective editing
Input image | Output image |
|
Keep the person's features unchanged and generate front, side, and back views. |
|
Reshoot this photo with a fisheye lens. |
Input specifications
Input image specifications
Specification | wan2.7-image-pro, wan2.7-image | wan2.6-image | wan2.5-i2i-preview |
Number of input images | 0 to 9 (0 corresponds to text-to-image mode) | Image editing: 1 to 4 / Mixed text and image: 0 to 1 | 1 to 3 |
Image format | JPEG, JPG, PNG (alpha channel not supported), BMP, WEBP | JPEG, JPG, PNG (alpha channel not supported), BMP, WEBP | JPEG, JPG, PNG (alpha channel not supported), BMP, WEBP |
Image width and height range | [240, 8000] pixels | [240, 8000] pixels | [384, 5000] pixels |
File size | ≤ 20 MB | ≤ 10 MB | ≤ 10 MB |
Aspect ratio | [1:8, 8:1] | Unlimited | [1:4, 4:1] |
Image input order
Image numbers in prompts correspond to array position: the first image is "image 1", the second is "image 2". You can also use markers like "[image 1]" and "[image 2]".
{
"content": [
{"text": "Editing instruction, for example: Place the alarm clock from image 1 next to the vase on the dining table in image 2"},
{"image": "https://example.com/image1.png"},
{"image": "https://example.com/image2.png"}
]
}Input image | Output image | ||
Image 1 |
Image 2 |
Prompt: Move image 1 onto image 2 |
Prompt: Move image 2 onto image 1 |
Image input methods
Pass images using any of these methods:
Key features
1. Instruction following (prompts)
Parameters: messages.content.text or input.prompt (required), negative_prompt (optional).
text or prompt (Positive prompt): Describe content, subjects, scenes, styles, lighting, and composition for the output image.
negative_prompt (Negative prompt): Specify unwanted content, such as "blurry" or "extra fingers".
Parameter | wan2.7-image-pro, wan2.7-image | wan2.6-image | wan2.5-i2i-preview |
text | Required, up to 5,000 characters | Required, up to 2,000 characters | Not supported |
prompt | Not supported | Not supported | Required, up to 2,000 characters |
negative_prompt | Not supported | Supported, up to 500 characters | Supported, up to 500 characters |
2. Enable intelligent prompt rewriting
Parameter: parameters.prompt_extend (bool, defaults to true).
Expands short prompts to improve image quality at the cost of increased response time.
Best practices:
Enable: When prompts are concise or broad.
Disable: For fine detail control, detailed descriptions, or latency-sensitive scenarios. Set
prompt_extendtofalse.
Parameter | wan2.7-image-pro, wan2.7-image | wan2.6-image | wan2.5-i2i-preview |
prompt_extend | Not supported | Supported (image editing mode only) | Supported |
3. Set the output image resolution
Parameter: parameters.size (string), in the format "width*height".
Parameter | wan2.7-image-pro, wan2.7-image | wan2.6-image | wan2.5-i2i-preview |
size | Method 1: Specify the output image resolution (recommended) In editing mode (with at least one image passed), the optional output resolution tiers are:
Method 2: Specify the width and height pixel values of the generated image
Only wan2.7-image-pro in text-to-image scenarios supports 4K resolution. | Method 1: Reference the input image ratio (recommended) In editing mode (
Method 2: Specify the width and height pixel values of the generated image
The actual output image pixel values will be the closest multiple of 16 to the specified value. | Only supports specifying the width and height pixel values of the generated image
|
4. Interactive precise editing
Use parameters.bbox_list to select specific regions for editing. Only supported by wan2.7-image-pro and wan2.7-image.
List length: Must match the number of input images. Use an empty list
[]for images that don't require editing.Coordinate format:
[x1, y1, x2, y2](top-left x, top-left y, bottom-right x, bottom-right y). Coordinates are absolute pixel values with origin (0, 0) at top-left, x-axis right, y-axis down.Quantity limit: A maximum of 2 bounding boxes per image.
Example: 3 input images where image 1 has two bounding boxes and image 2 has none
[
[[0, 0, 12, 12], [25, 25, 100, 100]], # Image 1 (2 boxes)
[], # Image 2 (no box)
[[10, 10, 50, 50]] # Image 3 (1 box)
]Billing and rate limits
Free quota and pricing: Model list and pricing.
For rate limits, see Wanxiang.
Billing:
Charges apply per successfully generated image. You are charged only when the API returns a
task_statusofSUCCEEDED.Failed model calls or processing errors do not incur any fees or consume the free quota.
API reference
Each model uses a different endpoint and request structure:
Model | Endpoint (Example for the Singapore region) |
| Sync API: Async API: Replace |
| Async API: Replace |
wan2.7/wan2.6: Use themessagesformat. In themessages[].contentarray, pass the image in theimageparameter and the prompt in thetextparameter.wan2.5: Pass the image in theinput.imagesarray and the prompt in theinput.promptparameter.
wan2.7-image-pro, wan2.7-image, wan2.6-image | wan2.5-i2i-preview |
| |
For input and output parameters, see Wan2.7 - image generation and editing, Wan2.6 - image generation and editing, Wanxiang – General Image Editing 2.5




































