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Wanxiang General Image Editing wan2.5 API Reference
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The Wanxiang General Image Editing wan2.5 model edits images or fuses multiple images using text instructions only. It maintains subject consistency across edits.
Quick start: User guide
Model overview
| Model capabilities | Input example | Output image |
|---|
| Model capabilities | Input example | Output image |
| Single-image editing | Replace the floral dress with a vintage-style lace gown featuring delicate embroidery on the collar and cuffs. | |
| Multi-image fusion | Place the alarm clock from image 1 beside the vase on the dining table in image 2. |
| Model name | Model description | Output image specifications |
|---|
| Model name | Model description | Output image specifications |
| wan2.5-i2i-preview | Wanxiang 2.5 preview Supports single-image editing and multi-image fusion | Image format: PNG. Image resolution: - Use the <a baseurl="t3137712_v2_2_0.xdita" data-node="6107277" data-root="85177" data-tag="xref" href="#2e0de6a5b1aw8" id="92c4acfccbmzm">parameters.size</a> parameter to specify the resolution of the output image in the format width*height (in pixels). - If you do not specify a resolution, the system generates an image with a total of 1280×1280 pixels by default. The aspect ratio follows these rules (approximate): - For single-image input: matches the aspect ratio of the input image. - For multi-image input: matches the aspect ratio of the last input image. |
Note
Before calling the API, review the supported models and pricing for your region.
Prerequisites
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.
Important
The China (Beijing) and Singapore regions have separate API keys and request endpoints. They cannot be used interchangeably. Cross-region calls lead to authentication failures or service errors.
HTTP API call
Image editing tasks take time to complete—typically 1 to 2 minutes—so the API uses asynchronous invocation. The full workflow has two core steps: Create task → Poll for result.
Actual runtime depends on queue length and service load. Wait patiently for results.
Step 1: Create a task and get the task ID
Singapore region: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/image2image/image-synthesis
Beijing region: POST https://dashscope.aliyuncs.com/api/v1/services/aigc/image2image/image-synthesis
Replace WorkspaceId with your actual Workspace ID.
Note
After the task is created, use the returned
task_idto query the result. Thetask_idis valid for 24 hours. Do not create duplicate tasks. Instead, use polling to retrieve the result.For guidance for beginners, see Call APIs with Postman or cURL.
| #### Request parameters | Single-image editing Multi-image fusion curl curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/image2image/image-synthesis' \ -H 'X-DashScope-Async: enable' \ -H "Authorization: Bearer $DASHSCOPE_API_KEY" \ -H 'Content-Type: application/json' \ -d '{ "model": "wan2.5-i2i-preview", "input": { "prompt": "Replace the floral dress with a vintage-style lace gown featuring delicate embroidery on the collar and cuffs.", "images": [ "https://img.alicdn.com/imgextra/i2/O1CN01vHOj4h28jOxUJPwY8_!!6000000007968-49-tps-1344-896.webp" ] }, "parameters": { "prompt_extend": true, "n": 1 } }' curl curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/image2image/image-synthesis' \ -H 'X-DashScope-Async: enable' \ -H "Authorization: Bearer $DASHSCOPE_API_KEY" \ -H 'Content-Type: application/json' \ -d '{ "model": "wan2.5-i2i-preview", "input": { "prompt": "Place the alarm clock from image 1 beside the vase on the dining table in image 2.", "images": [ "https://img.alicdn.com/imgextra/i3/O1CN0157XGE51l6iL9441yX_!!6000000004770-49-tps-1104-1472.webp", "https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp" ] }, "parameters": { "n": 1 } }' |
| ##### Request headers | |
Content-Typestring (Required) The content type of the request. Must be application/json. | |
Authorizationstring (Required) Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx. | |
X-DashScope-Asyncstring (Required) Enables asynchronous processing. HTTP requests support only asynchronous calls. Must be enable. Important If this request header is missing, the error "current user api does not support synchronous calls" is returned. | |
| ##### Request body | |
modelstring (required) Model name. For details, see Supported models and pricing. Example value: wan2.5-i2i-preview. | |
inputobject (required) Basic input information, such as prompts. Properties promptstring (required) A positive prompt describing elements and visual features to include in the generated image. Supports Chinese and English. Maximum length: 2000 characters. Each character counts as one. Excess characters are truncated. For prompt-writing tips, see the Text-to-image prompt guide. Example value: A cheerful orange cat sitting down, realistic and detailed. imagesarray of string (required) An array of image URLs. - Maximum array length: 3 (up to three images). - For multi-image input, order matters. Images follow the array sequence. Image requirements: - Formats: JPEG, JPG, PNG (no alpha channel), BMP, WEBP. - Resolution: Width and height must be between 384 and 5000 pixels. - File size: Up to 10 MB. Supported input formats: 1. Publicly accessible URL - Protocols: HTTP or HTTPS. - Example value: http://wanx.alicdn.com/material/20250318/stylization_all_1.jpeg. 2. Base64-encoded image string - Format: data:{MIME_type};base64,{base64_data} - Example: data:image/jpeg;base64,GDU7MtCZzEbTbmRZ... (example only; use full string). - For Base64 encoding rules, see Image input methods. negative_promptstring (optional) A negative prompt describing elements to exclude from the image. Supports Chinese and English. Maximum length: 500 characters. Excess characters are truncated. Example value: low resolution, errors, worst quality, low quality, incomplete, extra fingers, poor proportions. | |
parametersobject (optional) Image processing parameters. Examples include setting resolution, enabling prompt rewriting, and adding a watermark. Properties sizestring (optional) Set output image resolution in width×height format. Default: 1280×1280. - Resolution range: Total pixels between 768×768 and 1280×1280. Aspect ratio range: 1:4 to 4:1. - Example value: 1280×1280. Recommended resolutions and aspect ratios - 1280×1280: 1:1 - 1024×1024: 1:1 - 800×1200: 2:3 - 1200×800: 3:2 - 960×1280: 3:4 - 1280×960: 4:3 - 720×1280: 9:16 - 1280×720: 16:9 - 1344×576: 21:9 If you omit size, the system defaults to 1280×1280 pixels and sets the aspect ratio as follows (approximate): - Single-image input: matches the input image’s aspect ratio. - Multi-image input: matches the aspect ratio of the last input image. ninteger (optional) Important The value of n directly affects cost. Higher values cost more. Confirm pricing in Model pricing before calling. Number of images to generate. Range: 1–4. Default: 4. To control costs during testing, set this explicitly to 1. watermarkboolean (optional) Add a watermark to the bottom-right corner. Text reads “AI Generated”. - false: default. No watermark. - true: Add watermark. prompt_extendboolean (optional) Enable prompt rewriting. When enabled, a large language model rewrites your prompt to improve results. This adds latency. - true: default. Enable rewriting. - false: Disable rewriting. Example value: true. seedinteger (optional) Random number seed. Valid range: [0, 2147483647]. If you do not specify a value, the algorithm automatically generates a random number as the seed. If you specify a value, the algorithm generates a separate seed value for each of the n images, based on the value of n. For example, if n=4, the algorithm generates images using seed, seed+1, seed+2, and seed+3 as the seed parameters. To improve reproducibility, fix the seed value. Note: Because generation is probabilistic, identical seeds do not guarantee identical outputs. |
| #### Response parameters | Successful response Error response Save the task_id to query the task status and result. json { "output": { "task_status": "PENDING", "task_id": "0385dc79-5ff8-4d82-bcb6-xxxxxx" }, "request_id": "4909100c-7b5a-9f92-bfe5-xxxxxx" } Task creation failed. See Error codes. json { "code": "InvalidApiKey", "message": "No API-key provided.", "request_id": "7438d53d-6eb8-4596-8835-xxxxxx" } |
outputobject Task output information. Properties task_idstring The task ID. Valid for queries for 24 hours. task_statusstring The status of the task. Enumeration values - PENDING - RUNNING - SUCCEEDED - FAILED - CANCELED - UNKNOWN: The task does not exist or its status is unknown. | |
request_idstring Unique request identifier for tracing and troubleshooting. | |
codestring Error code. Returned only for failed requests. See Error codes. | |
messagestring Detailed error message. Returned only for failed requests. See Error codes. |
Step 2: Query results using the task ID
Singapore
China (Beijing)
GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}
When calling, replace WorkspaceId with your actual workspace ID.
GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}
Note
Polling recommendation: Image generation is time-consuming. Use a polling mechanism with a reasonable interval, such as 10 seconds.
Task state transition: PENDING → RUNNING → SUCCEEDED or FAILED.
Result link: After a task succeeds, an image URL valid for 24 hours is returned. Download and save the image to permanent storage, such as OSS.
| #### Request parameters | Query task result Replace 86ecf553-d340-4e21-xxxxxxxxx with your actual task_id. > API keys are different for each region. For more information, see Obtain an API key. > If you use a model in the China (Beijing) region, replace base_url with https://dashscope.aliyuncs.com/api/v1/tasks/86ecf553-d340-4e21-xxxxxxxxx. curl curl -X GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/86ecf553-d340-4e21-xxxxxxxxx \ --header "Authorization: Bearer $DASHSCOPE_API_KEY" |
| ##### Request headers | |
Authorizationstring (Required) Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx. | |
| ##### URL path parameter | |
task_idstring (Required) The ID of the task. |
| #### Response parameters | Task succeeded Task failed Partial failure Task query expired Image URLs are valid for only 24 hours and then automatically purged. Save generated images promptly. json { "request_id": "d1f2a1be-9c58-48af-b43f-xxxxxx", "output": { "task_id": "7f4836cd-1c47-41b3-b3a4-xxxxxx", "task_status": "SUCCEEDED", "submit_time": "2025-09-23 22:14:10.800", "scheduled_time": "2025-09-23 22:14:10.825", "end_time": "2025-09-23 22:15:23.456", "results": [ { "orig_prompt": "Replace the floral dress with a vintage-style lace gown featuring delicate embroidery on the collar and cuffs.", "actual_prompt": "Replace the pink pleated dress with a vintage-style lace gown featuring delicate embroidery on the collar and cuffs. Keep the person’s hairstyle, makeup, and pose unchanged. Match the original image’s soft tones and classical atmosphere.", "url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx" } ], "task_metrics": { "TOTAL": 1, "FAILED": 0, "SUCCEEDED": 1 } }, "usage": { "image_count": 1 } } When a task fails, task_status is FAILED with an error code and message. See Error codes. json { "request_id": "e5d70b02-ebd3-98ce-9fe8-759d7d7b107d", "output": { "task_id": "86ecf553-d340-4e21-af6e-xxxxxx", "task_status": "FAILED", "code": "InvalidParameter", "message": "xxxxxx", "task_metrics": { "TOTAL": 4, "SUCCEEDED": 0, "FAILED": 4 } } } The model can generate multiple images per task. If at least one succeeds, the task status is SUCCEEDED and URLs of successful images are returned. Failed images include a failure reason. Usage statistics count only successful results. See Error codes. json { "request_id": "85eaba38-0185-99d7-8d16-xxxxxx", "output": { "task_id": "86ecf553-d340-4e21-af6e-xxxxxx", "task_status": "SUCCEEDED", "results": [ { "url": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/123/a1.png" }, { "code": "InternalError.Timeout", "message": "An internal timeout error has occurred during execution, please try again later or contact service support." } ], "task_metrics": { "TOTAL": 2, "SUCCEEDED": 1, "FAILED": 1 } }, "usage": { "image_count": 1 } } The task_id is valid for 24 hours. After this period, queries return the following error. json { "request_id": "a4de7c32-7057-9f82-8581-xxxxxx", "output": { "task_id": "502a00b1-19d9-4839-a82f-xxxxxx", "task_status": "UNKNOWN" } } |
outputobject Task output information. Properties task_idstring The task ID. Valid for queries for 24 hours. task_statusstring The status of the task. Enumeration values - PENDING - RUNNING - SUCCEEDED - FAILED - CANCELED - UNKNOWN: The task does not exist or its status is unknown. submit_timestring The time when the task was submitted. The time is in UTC+8 and the format is YYYY-MM-DD HH:mm:ss.SSS. scheduled_timestring The time when the task was executed. The time is in UTC+8 and the format is YYYY-MM-DD HH:mm:ss.SSS. end_timestring The time when the task was completed. The time is in UTC+8 and the format is YYYY-MM-DD HH:mm:ss.SSS. resultsarray of object List of task results, including image URLs, prompts, and error details for partial failures. Properties orig_promptstring The original input prompt, corresponding to the request parameter prompt. actual_promptstring The optimized prompt used when prompt rewriting is enabled. Not returned when disabled. urlstring URL of the generated image. codestring Error code for failed images. Returned only for partial failures. messagestring Error message for failed images. Returned only for partial failures. task_metricsobject Statistics for the task result. Properties TOTALinteger The total number of tasks. SUCCEEDEDinteger The number of successful tasks. FAILEDinteger The number of failed tasks. codestring Error code. Returned only for failed requests. See Error codes. messagestring Detailed error message. Returned only for failed requests. See Error codes. | |
usageobject Usage statistics. Counts only successful results. Properties image_countinteger Number of images successfully generated. Billing: Cost = Number of images × Unit price. | |
request_idstring Unique request identifier for tracing and troubleshooting. |
DashScope SDK call
SDK parameter names match those in the HTTP API call. Parameter structures are wrapped to suit each programming language.
Because image editing tasks take 30 to 60 seconds, the SDK wraps the HTTP asynchronous flow. It supports both synchronous and asynchronous calls.
Actual runtime depends on queue length and service load. Wait patiently for results.
Python SDK call
Important
Ensure your DashScope Python SDK version is at least1.25.2 .
Older versions may trigger errors like “url error, please check url!”. Update using Install or upgrade SDK.
Synchronous call
Asynchronous call
Request example
This example supports three image input methods: public URL, Base64 encoding, and local file path.
python
import base64
import mimetypes
from http import HTTPStatus
from urllib.parse import urlparse, unquote
from pathlib import PurePosixPath
import dashscope
import requests
from dashscope import ImageSynthesis
import os
# The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. URLs differ by region.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
# If you have not configured an environment variable, replace the next line with: api_key="sk-xxx"
# API keys differ between Singapore and Beijing. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")
# --- Input image: Base64 encoding ---
# Base64 format: 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:
1. Public URL — best for publicly accessible images
2. Local file — best for local development and testing
3. Base64 encoding — best for private images or secure transmission
"""
# [Method 1] Public image URL
image_url_1 = "https://img.alicdn.com/imgextra/i3/O1CN0157XGE51l6iL9441yX_!!6000000004770-49-tps-1104-1472.webp"
image_url_2 = "https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp"
# [Method 2] Local file (supports absolute and relative paths)
# Format: file:// + file path
# Example (absolute path):
# image_url_1 = "file://" + "/path/to/your/image_1.png" # Linux/macOS
# image_url_2 = "file://" + "C:/path/to/your/image_2.png" # Windows
# Example (relative path):
# image_url_1 = "file://" + "./image_1.png" # Adjust to your path
# image_url_2 = "file://" + "./image_2.png" # Adjust to your path
# [Method 3] Base64-encoded image
# image_url_1 = encode_file("./image_1.png") # Adjust to your path
# image_url_2 = encode_file("./image_2.png") # Adjust to your path
print('----sync call, please wait a moment----')
rsp = ImageSynthesis.call(api_key=api_key,
model="wan2.5-i2i-preview",
prompt="Place the alarm clock from image 1 beside the vase on the dining table in image 2.",
images=[image_url_1, image_url_2],
negative_prompt="",
n=1,
# size="1280*1280",
prompt_extend=True,
watermark=False,
seed=12345)
print('response: %s' % rsp)
if rsp.status_code == HTTPStatus.OK:
# Save images to current directory
for result in rsp.output.results:
file_name = PurePosixPath(unquote(urlparse(result.url).path)).parts[-1]
with open('./%s' % file_name, 'wb+') as f:
f.write(requests.get(result.url).content)
else:
print('sync_call Failed, status_code: %s, code: %s, message: %s' %
(rsp.status_code, rsp.code, rsp.message))Response example
Image URLs expire after 24 hours. Download images promptly.
json
{
"status_code": 200,
"request_id": "8ad45834-4321-44ed-adf5-xxxxxx",
"code": null,
"message": "",
"output": {
"task_id": "3aff9ebd-35fc-4339-98a3-xxxxxx",
"task_status": "SUCCEEDED",
"results": [\
{\
"url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx",\
"orig_prompt": "Place the alarm clock from image 1 beside the vase on the dining table in image 2.",\
"actual_prompt": "Place the blue alarm clock from image 1 to the right of the vase on the dining table in image 2, near the edge of the tablecloth. Keep the clock facing the camera and parallel to the tabletop, with natural shadow projection."\
}\
],
"submit_time": "2025-10-23 16:18:16.009",
"scheduled_time": "2025-10-23 16:18:16.040",
"end_time": "2025-10-23 16:19:09.591",
"task_metrics": {
"TOTAL": 1,
"FAILED": 0,
"SUCCEEDED": 1
}
},
"usage": {
"image_count": 1
}
}This example uses public URLs for image input.
Request example
python
import os
from http import HTTPStatus
from urllib.parse import urlparse, unquote
from pathlib import PurePosixPath
import dashscope
import requests
from dashscope import ImageSynthesis
# The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. URLs differ by region.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
# If you have not configured an environment variable, replace the next line with: api_key="sk-xxx"
# API keys differ between Singapore and Beijing. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")
# Public image URLs
image_url_1 = "https://img.alicdn.com/imgextra/i3/O1CN0157XGE51l6iL9441yX_!!6000000004770-49-tps-1104-1472.webp"
image_url_2 = "https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp"
def async_call():
print('----create task----')
task_info = create_async_task()
print('----wait task----')
wait_async_task(task_info)
# Create an asynchronous task
def create_async_task():
rsp = ImageSynthesis.async_call(api_key=api_key,
model="wan2.5-i2i-preview",
prompt="Place the alarm clock from image 1 beside the vase on the dining table in image 2.",
images=[image_url_1, image_url_2],
negative_prompt="",
n=1,
# size="1280*1280",
prompt_extend=True,
watermark=False,
seed=12345)
print(rsp)
if rsp.status_code == HTTPStatus.OK:
print(rsp.output)
else:
print('Failed, status_code: %s, code: %s, message: %s' %
(rsp.status_code, rsp.code, rsp.message))
return rsp
# Wait for the asynchronous task to finish
def wait_async_task(task):
rsp = ImageSynthesis.wait(task=task, api_key=api_key)
print(rsp)
if rsp.status_code == HTTPStatus.OK:
print(rsp.output)
# Save file to current directory
for result in rsp.output.results:
file_name = PurePosixPath(unquote(urlparse(result.url).path)).parts[-1]
with open('./%s' % file_name, 'wb+') as f:
f.write(requests.get(result.url).content)
else:
print('Failed, status_code: %s, code: %s, message: %s' %
(rsp.status_code, rsp.code, rsp.message))
# Fetch asynchronous task status
def fetch_task_status(task):
status = ImageSynthesis.fetch(task=task, api_key=api_key)
print(status)
if status.status_code == HTTPStatus.OK:
print(status.output.task_status)
else:
print('Failed, status_code: %s, code: %s, message: %s' %
(status.status_code, status.code, status.message))
# Cancel an asynchronous task. Only PENDING tasks can be canceled.
def cancel_task(task):
rsp = ImageSynthesis.cancel(task=task, api_key=api_key)
print(rsp)
if rsp.status_code == HTTPStatus.OK:
print(rsp.output.task_status)
else:
print('Failed, status_code: %s, code: %s, message: %s' %
(rsp.status_code, rsp.code, rsp.message))
if __name__ == '__main__':
async_call()Response example
1. Response when creating a task
json
{
"status_code": 200,
"request_id": "31b04171-011c-96bd-ac00-f0383b669cc7",
"code": "",
"message": "",
"output": {
"task_id": "4f90cf14-a34e-4eae-xxxxxxxx",
"task_status": "PENDING",
"results": []
},
"usage": null
}2. Response when querying task results
Image URLs expire after 24 hours. Download images promptly.
smalltalk
{
"status_code": 200,
"request_id": "8ad45834-4321-44ed-adf5-xxxxxx",
"code": null,
"message": "",
"output": {
"task_id": "3aff9ebd-35fc-4339-98a3-xxxxxx",
"task_status": "SUCCEEDED",
"results": [\
{\
"url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx",\
"orig_prompt": "Place the alarm clock from image 1 beside the vase on the dining table in image 2.",\
"actual_prompt": "Place the blue alarm clock from image 1 to the right of the vase on the dining table in image 2, near the edge of the tablecloth. Keep the clock facing the camera and parallel to the tabletop, with natural shadow projection."\
}\
],
"submit_time": "2025-10-23 16:18:16.009",
"scheduled_time": "2025-10-23 16:18:16.040",
"end_time": "2025-10-23 16:19:09.591",
"task_metrics": {
"TOTAL": 1,
"FAILED": 0,
"SUCCEEDED": 1
}
},
"usage": {
"image_count": 1
}
}Java SDK call
Important
Ensure your DashScope Java SDK version is at least2.22.2 .
Older versions may trigger errors like “url error, please check url!”. Update using Install or upgrade SDK.
Synchronous call
Asynchronous call
Request example
This example supports three image input methods: public URL, Base64 encoding, and local file path.
java
// Copyright (c) Alibaba, Inc. and its affiliates.
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesisParam;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesisResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.*;
public class Image2Image {
static {
// The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. URLs differ by region.
Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
}
// If you have not configured an environment variable, replace the next line with: apiKey="sk-xxx"
// API keys differ between Singapore and Beijing. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
static String apiKey = System.getenv("DASHSCOPE_API_KEY");
/**
* Image input methods: choose one
*
* 1. Public URL — best for publicly accessible images
* 2. Local file — best for local development and testing
* 3. Base64 encoding — best for private images or secure transmission
*/
// [Method 1] Public URL
static String imageUrl_1 = "https://img.alicdn.com/imgextra/i3/O1CN0157XGE51l6iL9441yX_!!6000000004770-49-tps-1104-1472.webp";
static String imageUrl_2 = "https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp";
// [Method 2] Local file path (file://+absolute path or file:///+absolute path)
// static String imageUrl_1 = "file://" + "/your/path/to/image_1.png"; // Linux/macOS
// static String imageUrl_2 = "file:///" + "C:/your/path/to/image_2.png"; // Windows
// [Method 3] Base64 encoding
// static String imageUrl_1 = encodeFile("/your/path/to/image_1.png");
// static String imageUrl_2 = encodeFile("/your/path/to/image_2.png");
// List of images to edit
static List<String> imageUrls = new ArrayList<>();
static {
imageUrls.add(imageUrl_1);
imageUrls.add(imageUrl_2);
}
public static void syncCall() {
// Set parameters
Map<String, Object> parameters = new HashMap<>();
parameters.put("prompt_extend", true);
parameters.put("watermark", false);
parameters.put("seed", 12345);
ImageSynthesisParam param =
ImageSynthesisParam.builder()
.apiKey(apiKey)
.model("wan2.5-i2i-preview")
.prompt("Place the alarm clock from image 1 beside the vase on the dining table in image 2.")
.images(imageUrls)
.n(1)
//.size("1280*1280")
.negativePrompt("")
.parameters(parameters)
.build();
ImageSynthesis imageSynthesis = new ImageSynthesis();
ImageSynthesisResult result = null;
try {
System.out.println("---sync call, please wait a moment----");
result = imageSynthesis.call(param);
} catch (ApiException | NoApiKeyException e){
throw new RuntimeException(e.getMessage());
}
System.out.println(JsonUtils.toJson(result));
}
/**
* Encode a file as a Base64 string
* @param filePath File path
* @return Base64 string in format data:{MIME_type};base64,{base64_data}
*/
public static String encodeFile(String filePath) {
Path path = Paths.get(filePath);
if (!Files.exists(path)) {
throw new IllegalArgumentException("File not found: " + filePath);
}
// Detect MIME type
String mimeType = null;
try {
mimeType = Files.probeContentType(path);
} catch (IOException e) {
throw new IllegalArgumentException("Cannot detect file type: " + filePath);
}
if (mimeType == null || !mimeType.startsWith("image/")) {
throw new IllegalArgumentException("Unsupported or unrecognized image format");
}
// Read file and encode
byte[] fileBytes = null;
try{
fileBytes = Files.readAllBytes(path);
} catch (IOException e) {
throw new IllegalArgumentException("Cannot read file: " + filePath);
}
String encodedString = Base64.getEncoder().encodeToString(fileBytes);
return "data:" + mimeType + ";base64," + encodedString;
}
public static void main(String[] args) {
syncCall();
}
}Response example
Image URLs expire after 24 hours. Download images promptly.
json
{
"request_id": "d362685b-757f-4eac-bab5-xxxxxx",
"output": {
"task_id": "bfa7fc39-3d87-4fa7-b1e6-xxxxxx",
"task_status": "SUCCEEDED",
"results": [\
{\
"orig_prompt": "Place the alarm clock from image 1 beside the vase on the dining table in image 2.",\
"actual_prompt": "Place the blue alarm clock from image 1 to the right of the vase on the dining table in image 2, near the edge of the tablecloth. Keep the clock facing the camera and parallel to the vase.",\
"url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx"\
}\
],
"task_metrics": {
"TOTAL": 1,
"SUCCEEDED": 1,
"FAILED": 0
}
},
"usage": {
"image_count": 1
}
}This example uses public URLs for image input.
Request example
java
// Copyright (c) Alibaba, Inc. and its affiliates.
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesisListResult;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesisParam;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesisResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.task.AsyncTaskListParam;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class Image2Image {
static {
// The following URL is for the Singapore region. Replace WorkspaceId with your actual workspace ID. URLs differ by region.
Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
}
// If you have not configured an environment variable, replace the next line with: apiKey="sk-xxx"
// API keys differ between Singapore and Beijing. Get an API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
static String apiKey = System.getenv("DASHSCOPE_API_KEY");
// Public URLs
static String imageUrl_1 = "https://img.alicdn.com/imgextra/i3/O1CN0157XGE51l6iL9441yX_!!6000000004770-49-tps-1104-1472.webp";
static String imageUrl_2 = "https://img.alicdn.com/imgextra/i3/O1CN01SfG4J41UYn9WNt4X1_!!6000000002530-49-tps-1696-960.webp";
// List of images to edit
static List<String> imageUrls = new ArrayList<>();
static {
imageUrls.add(imageUrl_1);
imageUrls.add(imageUrl_2);
}
public static void asyncCall() {
// Set parameters
Map<String, Object> parameters = new HashMap<>();
parameters.put("prompt_extend", true);
parameters.put("watermark", false);
parameters.put("seed", 12345);
ImageSynthesisParam param =
ImageSynthesisParam.builder()
.apiKey(apiKey)
.model("wan2.5-i2i-preview")
.prompt("Place the alarm clock from image 1 beside the vase on the dining table in image 2.")
.images(imageUrls)
.n(1)
//.size("1280*1280")
.negativePrompt("")
.parameters(parameters)
.build();
ImageSynthesis imageSynthesis = new ImageSynthesis();
ImageSynthesisResult result = null;
try {
System.out.println("---async call, please wait a moment----");
result = imageSynthesis.asyncCall(param);
} catch (ApiException | NoApiKeyException e){
throw new RuntimeException(e.getMessage());
}
System.out.println(JsonUtils.toJson(result));
String taskId = result.getOutput().getTaskId();
System.out.println("taskId=" + taskId);
try {
result = imageSynthesis.wait(taskId, apiKey);
} catch (ApiException | NoApiKeyException e){
throw new RuntimeException(e.getMessage());
}
System.out.println(JsonUtils.toJson(result));
System.out.println(JsonUtils.toJson(result.getOutput()));
}
public static void listTask() throws ApiException, NoApiKeyException {
ImageSynthesis is = new ImageSynthesis();
AsyncTaskListParam param = AsyncTaskListParam.builder().build();
param.setApiKey(apiKey);
ImageSynthesisListResult result = is.list(param);
System.out.println(result);
}
public void fetchTask(String taskId) throws ApiException, NoApiKeyException {
ImageSynthesis is = new ImageSynthesis();
// If DASHSCOPE_API_KEY is set as an environment variable, apiKey can be empty.
ImageSynthesisResult result = is.fetch(taskId, apiKey);
System.out.println(result.getOutput());
System.out.println(result.getUsage());
}
public static void main(String[] args) {
asyncCall();
}
}Response example
1. Response when creating a task
json
{
"request_id": "5dbf9dc5-4f4c-9605-85ea-542f97709ba8",
"output": {
"task_id": "7277e20e-aa01-4709-xxxxxxxx",
"task_status": "PENDING"
}
}2. Response when querying task results
Image URLs expire after 24 hours. Download images promptly.
smalltalk
{
"request_id": "d362685b-757f-4eac-bab5-xxxxxx",
"output": {
"task_id": "bfa7fc39-3d87-4fa7-b1e6-xxxxxx",
"task_status": "SUCCEEDED",
"results": [\
{\
"orig_prompt": "Place the alarm clock from image 1 beside the vase on the dining table in image 2.",\
"actual_prompt": "Place the blue alarm clock from image 1 to the right of the vase on the dining table in image 2, near the edge of the tablecloth. Keep the clock facing the camera and parallel to the vase.",\
"url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx"\
}\
],
"task_metrics": {
"TOTAL": 1,
"SUCCEEDED": 1,
"FAILED": 0
}
},
"usage": {
"image_count": 1
}
}Limits
Data retention: Both task IDs and image URLs expire after 24 hours. You cannot query or download them after expiration.
Content moderation: All prompts, input images, and output images undergo content moderation. Requests containing prohibited content return errors such as “IPInfringementSuspect” or “DataInspectionFailed”. See Error information for details.
Error codes
If the model call fails and returns an error message, see Error codes for resolution.
FAQ
Q: I used General Image Editing 2.1 before. Do I need to change my SDK calls to use wan2.5?
A: You need to make adjustments because the parameter design differs between the two versions:
General Image Editing 2.1: Requires both
promptandfunctionparameters.General Image Editing 2.5: Only requires
prompt. Describe all edits in text. Thefunctionparameter is no longer supported or needed.
Q: How do I view model usage metrics?
A: One hour after a model call completes, go to the Model telemetry (Singapore)Model telemetry (Beijing) page to view metrics such as call count and success rate. For step-by-step guidance, see How to view model call history?.
Previous: Wan2.6 - image generation and editingNext: Wan2.1 - general image editing
Is this page helpful?
Model overview
Prerequisites
HTTP API call
Step 1: Create a task and get the task ID
Step 2: Query results using the task ID
DashScope SDK call
Python SDK call
Java SDK call
Limits
Error codes
FAQ
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