Wan text-to-image V2 API reference

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The Wan text-to-image model generates images from text prompts, supporting artistic styles and realistic photographic effects.

Quick links: Try online (Beijing | Singapore | Virginia) | Wan official website | Text-to-image user guide

Note

Wan website features may differ from API capabilities. This document covers the API and is updated as changes occur.

Model overview

Model name

Model description

Output image format

wan2.6-t2i Recommended

Wan 2.6

Supports flexible dimensions within total pixel area and aspect ratio constraints (same as wan2.5).

Image resolution: Total pixels between 1280×1280 and 1440×1440.

Image aspect ratio: [1:4, 4:1]
Image format: png































































































































































































































































wan2.5-t2i-preview Recommended

Wan 2.5 preview

Supports flexible dimensions within total pixel area and aspect ratio constraints.

For example, it supports 768×2700, while version 2.2 and earlier have a single-side limit of 1400.

wan2.2-t2i-flash

Wan 2.2 Flash

50% faster than the 2.1 model.

Image resolution: Both width and height are between 512 and 1440 pixels.

Image format: png

wan2.2-t2i-plus

Wan 2.2 Pro

Improved stability and success rate compared to the 2.1 model.

wanx2.1-t2i-turbo

Wan 2.1 Flash

wanx2.1-t2i-plus

Wan 2.1 Pro

wanx2.0-t2i-turbo

Wan 2.0 Flash

Note

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), Singapore, and US (Virginia) regions have separate API keys and request endpoints. They cannot be used interchangeably. Cross-region calls lead to authentication failures or service errors. For more information, see Select a region and service deployment scope.

HTTP synchronous (wan2.6)

Important

The API in this section uses the new protocol and supports only the wan2.6 model.

Retrieve the result in a single request. Recommended for most use cases.

China (Beijing)

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

Singapore

POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

When calling, replace WorkspaceId with your actual workspace ID.

US (Virginia)

POST https://dashscope-us.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

Request parameters

Text-to-image

curl --location 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
    "model": "wan2.6-t2i",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display"
                    }
                ]
            }
        ]
    },
    "parameters": {
        "prompt_extend": true,
        "watermark": false,
        "n": 1,
        "negative_prompt": "",
        "size": "1280*1280"
    }
}'

Request headers

Content-Type string (Required)

The content type of the request. Must be application/json.

Authorization string (Required)

Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx.

Request body

model string (Required)

The model name. Example: wan2.6-t2i.

Note

For wan2.5 and earlier models, see HTTP asynchronous call for HTTP calls.

input object (Required)

The input object.

Properties

messages array (Required)

The request messages. Currently, only single-turn conversations are supported: pass one set of role and content parameters.

Properties

role string (Required)

The message role. Must be set to user.

content array (Required)

The message content array.

Properties

text string (Required)

The positive prompt describing the desired content, style, and composition of the generated image.

Supports Chinese and English, with a maximum length of 2,100 characters. Each Chinese character, letter, number, or symbol counts as one character. Excess characters are automatically truncated.

Example: A sitting orange cat, happy, lively, and cute, realistic and accurate.

Note: Only one text input is supported. An error will occur if you do not provide a text input or if you provide multiple text inputs.

parameters object (Optional)

Image generation parameters.

Properties

negative_prompt string (optional)

A negative prompt describing what you do not want in the image.

Supports Chinese and English. Maximum length is 500 characters. Excess characters are truncated automatically.

Example: Low resolution, low quality, distorted limbs, malformed fingers, oversaturated colors, wax-like appearance, no facial details, overly smooth surfaces, AI-generated look. Chaotic composition. Blurry or distorted text.

size string (Optional)

The resolution of the output image, in the format width*height.

  • The default value is 1280*1280.

  • The total pixels must be between 1280×1280 and 1440×1440, with an aspect ratio between 1:4 and 4:1. For example, 768×2700 is a valid resolution.

Example: 1280*1280.

Recommended resolutions for common aspect ratios

  • 1:1: 1280×1280

  • 3:4: 1104×1472

  • 4:3: 1472×1104

  • 9:16: 960×1696

  • 16:9: 1696×960

n integer (Optional)

Important

The value of n directly affects the cost. Cost = Unit Price × Number of Images. Before you call the API, confirm the model pricing.

The number of images to generate. The value must be an integer from 1 to 4. The default is 4.

Billing is based on the number of images generated. Set to 1 for testing.

prompt_extend bool (Optional)

Enables prompt rewriting. An LLM optimizes the positive prompt to improve results, especially for shorter prompts. Adds 3-4 seconds to processing time.

  • true (default)

  • false

watermark bool (Optional)

Adds an "AI Generated" watermark to the lower-right corner of the image.

  • false (default)

  • true

seed integer (optional)

Random number seed. Valid range: [0,2147483647].

Using the same seed yields similar outputs. If omitted, the algorithm uses a random seed.

Note: Image generation is probabilistic. Even with the same seed, results may vary.

Response parameters

Successful task execution

Task data (task status and image URLs) is retained for only 24 hours and then automatically purged. Save generated images promptly.

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "content": [
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxxx.png?Expires=xxx",
                            "type": "image"
                        }
                    ],
                    "role": "assistant"
                }
            }
        ],
        "finished": true
    },
    "usage": {
        "image_count": 1,
        "input_tokens": 0,
        "output_tokens": 0,
        "size": "1280*1280",
        "total_tokens": 0
    },
    "request_id": "815505c6-7c3d-49d7-b197-xxxxx"
}

Task execution failed

If the task fails, the API returns error information. Identify the cause from the code and message fields. See Error codes.

{
    "request_id": "a4d78a5f-655f-9639-8437-xxxxxx",
    "code": "InvalidParameter",
    "message": "num_images_per_prompt must be 1"
}

output object

The output object.

Properties

choices array

The output content generated by the model.

Properties

finish_reason string

The reason the task stopped. stop indicates normal completion.

message object

The message returned by the model.

Properties

role string

The message role, fixed as assistant.

content array

Properties

image string

The URL of the generated image in PNG format. Valid for 24 hours. Download and save the image promptly.

type string

The output type, fixed as image.

finished boolean

Whether the task has finished.

  • true

  • false

usage object

Usage statistics for the request. Only successful results are counted.

Properties

image_count integer

The number of generated images.

size string

The resolution of the generated image. Example: 1280*1280.

input_tokens integer

The number of input tokens. For text-to-image, billing is based on the number of images, so this value is fixed at 0.

output_tokens integer

The number of output tokens. For text-to-image, billing is based on the number of images, so this value is fixed at 0.

total_tokens integer

The total number of tokens. For text-to-image, billing is based on the number of images, so this value is fixed at 0.

request_id string

Unique request identifier for tracing and troubleshooting.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

HTTP asynchronous (wan2.6)

Important

The API in this section uses the new protocol and supports only the wan2.6 model.

The task flow includes two core steps: Create task -> Poll for result. The process is as follows:

Step 1: Create a task and get the task ID

China (Beijing)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation

Singapore

POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/image-generation/generation

When calling, replace WorkspaceId with your actual workspace ID.

US (Virginia)

POST https://dashscope-us.aliyuncs.com/api/v1/services/aigc/image-generation/generation

Germany (Frankfurt)

POST https://<u>{WorkspaceId}.eu-central-1.maas.aliyuncs.com</u>/api/v1/services/aigc/image-generation/generation

When you make a call, replace WorkspaceId with your Workspace ID.

Note
  • After the task is created, use the returned task_id to query the result. The task_id is 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

Text-to-image

curl --location 'https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'X-DashScope-Async: enable' \
--data '{
    "model": "wan2.6-t2i",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display"
                    }
                ]
            }
        ]
    },
    "parameters": {
        "prompt_extend": true,
        "watermark": false,
        "n": 1,
        "negative_prompt": "",
        "size": "1280*1280"
    }
}'
Request headers

Content-Type string (Required)

The content type of the request. Must be application/json.

Authorization string (Required)

Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx.

X-DashScope-Async string (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

model string (Required)

The model name. Example: wan2.6-t2i.

Note

For wan2.5 and earlier models, see HTTP asynchronous call.

input object (Required)

The input object.

Properties

messages array (Required)

The request messages. Currently, only single-turn conversations are supported: pass one set of role and content parameters.

Properties

role string (Required)

The message role. Must be set to user.

content array (Required)

The message content array.

Properties

text string (Required)

The positive prompt describing the desired content, style, and composition of the generated image.

Supports Chinese and English, with a maximum length of 2,100 characters. Each Chinese character, letter, number, or symbol counts as one character. Excess characters are automatically truncated.

Example: A flower shop with exquisite windows, a beautiful wooden door, and flowers on display.

Note: Only one text input is supported. An error will occur if you do not provide a text input or if you provide multiple text inputs.

parameters object (Optional)

Image generation parameters.

Properties

negative_prompt string (optional)

A negative prompt describing what you do not want in the image.

Supports Chinese and English. Maximum length is 500 characters. Excess characters are truncated automatically.

Example: Low resolution, low quality, distorted limbs, malformed fingers, oversaturated colors, wax-like appearance, no facial details, overly smooth surfaces, AI-generated look. Chaotic composition. Blurry or distorted text.

size string (Optional)

The resolution of the output image, in the format width*height.

  • The default value is 1280*1280.

  • The total pixels must be between 1280×1280 and 1440×1440, with an aspect ratio between 1:4 and 4:1. For example, 768×2700 is a valid resolution.

Example: 1280*1280.

Recommended resolutions for common aspect ratios

  • 1:1: 1280×1280

  • 3:4: 1104×1472

  • 4:3: 1472×1104

  • 9:16: 960×1696

  • 16:9: 1696×960

n integer (Optional)

Important

The value of n directly affects the cost. Cost = Unit Price × Number of Images. Before you call the API, confirm the model pricing.

The number of images to generate. The value must be an integer from 1 to 4. The default is 4.

Billing is based on the number of images generated. Set to 1 for testing.

prompt_extend bool (Optional)

Enables prompt rewriting. An LLM optimizes the positive prompt to improve results, especially for shorter prompts. Adds 3-4 seconds to processing time.

  • true (default)

  • false

watermark bool (Optional)

Adds an "AI Generated" watermark to the lower-right corner of the image.

  • false (default)

  • true

seed integer (optional)

Random number seed. Valid range: [0,2147483647].

Using the same seed yields similar outputs. If omitted, the algorithm uses a random seed.

Note: Image generation is probabilistic. Even with the same seed, results may vary.

Response parameters

Successful response

Save the task_id to query the task status and result.

{
    "output": {
        "task_status": "PENDING",
        "task_id": "0385dc79-5ff8-4d82-bcb6-xxxxxx"
    },
    "request_id": "4909100c-7b5a-9f92-bfe5-xxxxxx"
}

Error response

Task creation failed. See Error codes.

{
    "code": "InvalidApiKey",
    "message": "No API-key provided.",
    "request_id": "7438d53d-6eb8-4596-8835-xxxxxx"
}

output object

The output object.

Properties

task_id string

The task ID. Valid for queries for 24 hours.

task_status string

The status of the task.

Enumeration values

  • PENDING

  • RUNNING

  • SUCCEEDED

  • FAILED

  • CANCELED

  • UNKNOWN: The task does not exist or its status is unknown.

request_id string

Unique request identifier for tracing and troubleshooting.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

Step 2: Query the result by task ID

China (Beijing)

https://dashscope.aliyuncs.com/api/v1

Singapore

https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

When calling, replace WorkspaceId with your actual workspace ID.

US (Virginia)

https://dashscope-us.aliyuncs.com/api/v1

Germany (Frankfurt)

https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace 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.

  • Requests Per Second (RPS) limit: The default RPS for the query API is 20. For higher-frequency queries or event notifications, we recommend that you configure an asynchronous task callback.

  • More operations: For batch queries, task cancellation, and other operations, see Manage asynchronous tasks.

Request parameters

Query task result

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://dashscope.aliyuncs.com/api/v1/tasks/{task_id} \
--header "Authorization: Bearer $DASHSCOPE_API_KEY"
Request headers

Authorization string (Required)

Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx.

URL path parameters

task_id string (Required)

The ID of the task.

Response parameters

Successful task execution

Task data (task status and image URLs) is retained for only 24 hours and then automatically purged. Save generated images promptly.

{
    "request_id": "2ddf53fa-699a-4267-9446-xxxxxx",
    "output": {
        "task_id": "3cd3fa4e-53ee-4136-9cab-xxxxxx",
        "task_status": "SUCCEEDED",
        "submit_time": "2025-12-18 20:03:01.802",
        "scheduled_time": "2025-12-18 20:03:01.834",
        "end_time": "2025-12-18 20:03:29.260",
        "finished": true,
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-bj.oss-cn-beijing.aliyuncs.com/xxx.png?Expires=xxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ]
    },
    "usage": {
        "size": "1280*1280",
        "total_tokens": 0,
        "image_count": 1,
        "output_tokens": 0,
        "input_tokens": 0
    }
}

Task execution failed

If the task fails, the API returns error information. Identify the cause from the code and message fields. See Error codes.

{
    "code": "InvalidApiKey",
    "message": "No API-key provided.",
    "request_id": "7438d53d-6eb8-4596-8835-xxxxxx"
}

output object

The task output information.

Properties

task_id string

The task ID. Valid for queries for 24 hours.

task_status string

The status of the task.

Enumeration values

  • PENDING

  • RUNNING

  • SUCCEEDED

  • FAILED

  • CANCELED

  • UNKNOWN: The task does not exist or its status is unknown.

State transitions during polling:

  • PENDING → RUNNING → SUCCEEDED or FAILED.

  • The initial query status is usually PENDING or RUNNING.

  • When the status changes to SUCCEEDED, the response contains the generated image URL.

  • If the status is FAILED, check the error message and retry the task.

submit_time string

The time when the task was submitted. format is YYYY-MM-DD HH:mm:ss.SSS.

scheduled_time string

The time when the task was executed. format is YYYY-MM-DD HH:mm:ss.SSS.

end_time string

The time when the task was completed. format is YYYY-MM-DD HH:mm:ss.SSS.

finished boolean

Indicates whether the task is finished.

  • true

  • false

choices array

The output content generated by the model.

Properties

finish_reason string

The reason the task stopped. stop indicates normal completion.

message object

The message returned by the model.

Properties

role string

The role of the message, which is fixed as assistant.

content array

Properties

image string

The URL of the generated image in PNG format.

The link is valid for 24 hours. You must download and save the image promptly.

type string

The type of output, which is fixed as image.

usage object

Usage statistics for the request. Only successful results are counted.

Properties

image_count integer

The number of generated images.

size string

The resolution of the generated image. Example: 1280*1280.

input_tokens integer

The number of input tokens. This value is currently fixed at 0.

output_tokens integer

The number of output tokens. This value is currently fixed at 0.

total_tokens integer

The total number of tokens. This value is currently fixed at 0.

request_id string

Unique request identifier for tracing and troubleshooting.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

HTTP asynchronous (wan2.5 and earlier models)

Important

This API uses the old protocol and supports only wan2.5 and earlier models.

Because text-to-image tasks can take significant time (typically 1 to 2 minutes), the API uses an asynchronous call. The flow includes two core steps: Create task -> Poll for result. The process is as follows:

Processing time depends on the task queue and service status.

Step 1: Create a task and get the task ID

Beijing

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis

Singapore

POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis

Note
  • After the task is created, use the returned task_id to query the result. The task_id is 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

Text-to-image

curl -X POST https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.5-t2i-preview",
    "input": {
        "prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display"
    },
    "parameters": {
        "size": "1280*1280",
        "n": 1
    }
}'    

Text-to-image (with negative prompt)

Use negative_prompt to prevent "people" from appearing in the generated image.

curl -X POST https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.2-t2i-flash",
    "input": {
        "prompt": "Snowy ground, a small white chapel, aurora borealis, winter scene, soft light.",
        "negative_prompt": "people"
    },
    "parameters": {
        "size": "1024*1024",
        "n": 1
    }
}'
Request headers

Content-Type string (Required)

The content type of the request. Must be application/json.

Authorization string (Required)

Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx.

X-DashScope-Async string (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

model string (Required)

The model name. For text-to-image models, see Model List.

Example: wan2.5-t2i-preview.

Note

For HTTP calls to the wan2.6 model, see HTTP synchronous call and HTTP asynchronous call.

input object (Required)

The input object containing the prompt.

Properties

prompt string (Required)

The positive prompt describing the desired content and style of the generated image.

This parameter supports Chinese and English. Each Chinese character, letter, or punctuation mark counts as one character. Excess characters are automatically truncated. The length limit varies by model version:

  • wan2.5-t2i-preview: Maximum length of 2000 characters.

  • wan2.2 and wan2.1 series models: Maximum length of 500 characters.

  • wanx2.0-t2i-turbo: Maximum length of 800 characters.

Example: A sitting orange cat, happy, lively, and cute, realistic and accurate.

For tips on using prompts, see Text-to-image Prompt Guide.

negative_prompt string (Optional)

The negative prompt specifying content to exclude from the image. Use this to constrain the output.

This parameter supports Chinese and English, with a maximum length of 500 characters. Excess characters are automatically truncated.

Example: low resolution, error, worst quality, low quality, mutilated, extra fingers, bad proportions, etc.

parameters object (Optional)

The image generation parameters.

Properties

size string (Optional)

The resolution of the output image, in the format width*height. The default value and constraints vary by model version:

  • wan2.5-t2i-preview: The default value is 1280*1280. The total pixels must be between 1280×1280 and 1440×1440, with an aspect ratio between 1:4 and 4:1. For example, 768×2700 is a valid resolution.

  • wan2.2 and earlier models: The default value is 1024*1024. The image width and height must be between 512 and 1440, with a maximum resolution of 1440×1440. For example, 768×2700 exceeds the single-side limit and is not supported.

Example: 1280*1280.

Recommended resolutions for common aspect ratios

The following resolutions apply to wan2.5-t2i-preview:

  • 1:1: 1280×1280

  • 3:4: 1104×1472

  • 4:3 (1472 × 1104)

  • 9:16: 960×1696

  • 16:9: 1696×960

n integer (Optional)

Important

The value of n directly affects the cost. Cost = Unit Price × Number of Images. Before you call the API, confirm the model pricing.

The number of images to generate. The value must be an integer from 1 to 4. The default is 4. Set to 1 for testing.

prompt_extend boolean (Optional)

Enables prompt rewriting. An LLM rewrites the input prompt to improve results, especially for shorter prompts. Increases processing time.

  • true (default)

  • false

watermark boolean (Optional)

Adds an "AI Generated" watermark to the lower-right corner of the image.

  • false (default)

  • true

seed integer (optional)

Random number seed. Valid range: [0,2147483647].

Using the same seed yields similar outputs. If omitted, the algorithm uses a random seed.

Note: Image generation is probabilistic. Even with the same seed, results may vary.

Response parameters

Successful response

Save the task_id to query the task status and result.

{
    "output": {
        "task_status": "PENDING",
        "task_id": "0385dc79-5ff8-4d82-bcb6-xxxxxx"
    },
    "request_id": "4909100c-7b5a-9f92-bfe5-xxxxxx"
}

Error response

Task creation failed. See Error codes.

{
    "code": "InvalidApiKey",
    "message": "No API-key provided.",
    "request_id": "7438d53d-6eb8-4596-8835-xxxxxx"
}

output object

The task output information.

Properties

task_id string

The task ID. Valid for queries for 24 hours.

task_status string

The status of the task.

Enumeration values

  • PENDING

  • RUNNING

  • SUCCEEDED

  • FAILED

  • CANCELED

  • UNKNOWN: The task does not exist or its status is unknown.

request_id string

Unique request identifier for tracing and troubleshooting.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

Step 2: Query the result by task ID

China (Beijing)

GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}

Singapore

GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id}

When calling, replace WorkspaceId with your actual workspace 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.

  • Requests Per Second (RPS) limit: The default RPS for the query API is 20. For higher-frequency queries or event notifications, we recommend that you configure an asynchronous task callback.

  • More operations: For batch queries, task cancellation, and other operations, see Manage asynchronous tasks.

Request parameters

Query task result

Replace 86ecf553-d340-4e21-xxxxxxxxx with your actual task_id.

If you use a model in the Singapore region, replace base_url with https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/86ecf553-d340-4e21-xxxxxxxxx, where WorkspaceId is your actual workspace ID.
curl -X GET https://dashscope.aliyuncs.com/api/v1/tasks/86ecf553-d340-4e21-xxxxxxxxx \
--header "Authorization: Bearer $DASHSCOPE_API_KEY"
Request headers

Authorization string (Required)

Authenticates the request with a Model Studio API key. Example: Bearer sk-xxxx.

URL path parameters

task_id string (Required)

The ID of the task.

Response parameters

Successful task execution

Image URLs are valid for only 24 hours and then automatically purged. Save generated images promptly.

{
    "request_id": "f767d108-7d50-908b-a6d9-xxxxxx",
    "output": {
        "task_id": "d492bffd-10b5-4169-b639-xxxxxx",
        "task_status": "SUCCEEDED",
        "submit_time": "2025-01-08 16:03:59.840",
        "scheduled_time": "2025-01-08 16:03:59.863",
        "end_time": "2025-01-08 16:04:10.660",
        "results": [
            {
                "orig_prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
                "actual_prompt": "A flower shop with exquisitely carved windows and a beautiful dark wooden door with a brass handle. Inside, various flowers are displayed, including roses, lilies, and sunflowers, which are colorful and vibrant. The background is a warm indoor scene, with light visible from the street through the window. High-definition realistic photography, medium shot composition.",
                "url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/1.png"
            }
        ],
        "task_metrics": {
            "TOTAL": 1,
            "SUCCEEDED": 1,
            "FAILED": 0
        }
    },
    "usage": {
        "image_count": 1
    }
}

Task failed

When a task fails, task_status is FAILED with an error code and message. See Error codes.

{
    "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
        }
    }
}

Partial task failure

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.

{
    "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
    }
}

Task query expired

The task_id is valid for 24 hours. After this period, queries return the following error.

{
    "request_id": "a4de7c32-7057-9f82-8581-xxxxxx",
    "output": {
        "task_id": "502a00b1-19d9-4839-a82f-xxxxxx",
        "task_status": "UNKNOWN"
    }
}

output object

The task output information.

Properties

task_id string

The task ID. Valid for queries for 24 hours.

task_status string

The status of the task.

Enumeration values

  • PENDING

  • RUNNING

  • SUCCEEDED

  • FAILED

  • CANCELED

  • UNKNOWN: The task does not exist or its status is unknown.

State transitions during polling:

  • PENDING → RUNNING → SUCCEEDED or FAILED.

  • The initial query status is usually PENDING or RUNNING.

  • When the status changes to SUCCEEDED, the response contains the generated image URL.

  • If the status is FAILED, check the error message and retry the task.

submit_time string

The time when the task was submitted. format is YYYY-MM-DD HH:mm:ss.SSS.

scheduled_time string

The time when the task was executed. format is YYYY-MM-DD HH:mm:ss.SSS.

end_time string

The time when the task was completed. format is YYYY-MM-DD HH:mm:ss.SSS.

results array of object

A list of task results. This includes image URLs, prompts, and error messages for partially failed tasks.

Data structure

{
    "results": [
        {
            "orig_prompt": "",
            "actual_prompt": "",
            "url": ""
        },
        {
            "code": "",
            "message": ""
        }
    ]
}

Properties

orig_prompt string

The original input prompt, corresponding to the request parameter prompt.

actual_prompt string

The optimized prompt used when prompt rewriting is enabled. Not returned when disabled.

url string

The image URL. This is returned only when task_status is SUCCEEDED. The link is valid for 24 hours and can be used to download the image.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

task_metrics object

Statistics for the task result.

Properties

TOTAL integer

The total number of tasks.

SUCCEEDED integer

The number of successful tasks.

FAILED integer

The number of failed tasks.

code string

Error code. Returned only for failed requests. See Error codes.

message string

Detailed error message. Returned only for failed requests. See Error codes.

usage object

Usage statistics for the request. Only successful results are counted.

Properties

image_count integer

Number of images successfully generated. Billing: Cost = Number of images × Unit price.

request_id string

Unique request identifier for tracing and troubleshooting.

DashScope Python SDK

The SDK parameter names align with the HTTP API, with structures adapted for Python.

Because text-to-image tasks can take significant time, the SDK encapsulates the HTTP asynchronous call process and supports both synchronous and asynchronous calls.

Processing time depends on the task queue and service status.

wan2.6

Important
  • The following code is only for the wan2.6 model.

  • Make sure your DashScope Python SDK version is at least 1.25.7 before you run the following code. To update, see Install the SDK.

The base_url and API key are region-specific. The following example shows a call in the Beijing region:

China (Beijing)

https://dashscope.aliyuncs.com/api/v1

Singapore

https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

When calling, replace WorkspaceId with your actual workspace ID.

US (Virginia)

https://dashscope-us.aliyuncs.com/api/v1

Germany (Frankfurt)

https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace ID.

The global deployment scope (Frankfurt region) supports only asynchronous calls.

Synchronous call

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

# The following is the URL for the Beijing region. The base_url is region-specific.
dashscope.base_http_api_url = 'https://dashscope.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 is region-specific. To obtain an API key: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

message = Message(
    role="user",
    content=[
        {
            'text': 'A flower shop with exquisite windows, a beautiful wooden door, and flowers on display'
        }
    ]
)
print("----Sync call, please wait a moment----")
rsp = ImageGeneration.call(
    model="wan2.6-t2i",
    api_key=api_key,
    messages=[message],
    negative_prompt="",
    prompt_extend=True,
    watermark=False,
    n=1,
    size="1280*1280"
)
print(rsp)
Response example
The URL is valid for 24 hours. You must download the image promptly.
{
    "status_code": 200,
    "request_id": "820dd0db-eb42-4e05-8d6a-1ddb4axxxxxx",
    "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": 0,
        "output_tokens": 0,
        "characters": 0,
        "image_count": 1,
        "size": "1280*1280",
        "total_tokens": 0
    }
}

Asynchronous call

Request example
import os
import dashscope
from dashscope.aigc.image_generation import ImageGeneration
from dashscope.api_entities.dashscope_response import Role, Message
from http import HTTPStatus

# The following is the URL for the Beijing region. The base_url is region-specific.
dashscope.base_http_api_url = 'https://dashscope.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 keys for the Singapore and Beijing regions are different. To obtain an API key: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

# Create an asynchronous task
def create_async_task():
    print("Creating async task...")
    message = Message(
        role="user",
        content=[{'text': 'A flower shop with exquisite windows, a beautiful wooden door, and flowers on display'}]
    )
    response = ImageGeneration.async_call(
        model="wan2.6-t2i",
        api_key=api_key,
        messages=[message],
        negative_prompt="",
        prompt_extend=True,
        watermark=False,
        n=1,
        size="1280*1280"
    )
    
    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!")
        print("Response:", status)
    else:
        raise Exception(f"Task failed with status: {status.output.task_status}")

# Fetch asynchronous task information
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": "c4f11410-ea42-4996-957d-9c82f9xxxxxx",
        "code": "",
        "message": "",
        "output": {
            "text": null,
            "finish_reason": null,
            "choices": null,
            "audio": null,
            "task_id": "f470bbfd-d955-4165-935b-d35b8eexxxxxx",
            "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. You must download the image promptly.
    {
        "status_code": 200,
        "request_id": "7e57e7e8-00b0-4534-9aff-fe31e0xxxxxx",
        "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": "f470bbfd-d955-4165-935b-d35b8exxxxxx",
            "task_status": "SUCCEEDED",
            "submit_time": "2026-01-09 17:18:17.901",
            "scheduled_time": "2026-01-09 17:18:17.941",
            "end_time": "2026-01-09 17:18:45.544",
            "finished": true
        },
        "usage": {
            "input_tokens": 0,
            "output_tokens": 0,
            "characters": 0,
            "size": "1280*1280",
            "total_tokens": 0,
            "image_count": 1
        }
    }

wan2.5 and earlier models

Important
  • The following code is only for wan2.5 and earlier models.

  • Make sure your DashScope Python SDK version is at least 1.25.2 before you run the following code.

    If the version is too low, errors such as "url error, please check url!" may occur. To update, see Install the SDK.

The base_url and API key are region-specific. The following example shows a call in the Beijing region:

China (Beijing)

https://dashscope.aliyuncs.com/api/v1

Singapore

https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

When calling, replace WorkspaceId with your actual workspace ID.

Synchronous call

Request example
from http import HTTPStatus
from urllib.parse import urlparse, unquote
from pathlib import PurePosixPath
import requests
from dashscope import ImageSynthesis
import os
import dashscope

# The following is the URL for the Beijing region. If you are using a model in the Singapore region, replace the URL with: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope.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 keys for the Singapore and Beijing regions are different. To obtain an API key: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

print('----Sync call, please wait a moment----')
rsp = ImageSynthesis.call(api_key=api_key,
                          model="wan2.5-t2i-preview",
                          prompt="A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
                          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 the image in the 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
The URL is valid for 24 hours. You must download the image promptly.
{
    "status_code": 200,
    "request_id": "9d634fda-5fe9-9968-a908-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "d35658e4-483f-453b-b8dc-xxxxxx",
        "task_status": "SUCCEEDED",
        "results": [{
            "url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/1.png",
            "orig_prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
            "actual_prompt": "An exquisite flower shop, with elegant carvings on the windows and a beautiful wooden door with a brass handle. Inside, a variety of colorful flowers such as roses, tulips, and lilies are displayed. The background is a warm indoor scene with soft light, creating a peaceful and comfortable atmosphere. High-definition realistic photography, close-up center composition."
        }],
        "submit_time": "2025-01-08 19:36:01.521",
        "scheduled_time": "2025-01-08 19:36:01.542",
        "end_time": "2025-01-08 19:36:13.270",
        "task_metrics": {
            "TOTAL": 1,
            "SUCCEEDED": 1,
            "FAILED": 0
        }
    },
    "usage": {
        "image_count": 1
    }
}

Asynchronous call

Request example
from http import HTTPStatus
from urllib.parse import urlparse, unquote
from pathlib import PurePosixPath
import requests
from dashscope import ImageSynthesis
import os
import dashscope

# The following is the URL for the Beijing region. If you are using a model in the Singapore region, replace the URL with: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope.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 keys for the Singapore and Beijing regions are different. To obtain an API key: https://help.aliyun.com/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

def async_call():
    print('----Create task----')
    task_info = create_async_task()
    print('----Wait for task to complete, then save image----')
    wait_async_task(task_info)

# Create an asynchronous task
def create_async_task():
    rsp = ImageSynthesis.async_call(api_key=api_key,
                                    model="wan2.5-t2i-preview",
                                    prompt="A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
                                    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 information
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 the asynchronous task. Only tasks in the PENDING state 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 example for creating a task

    {
    	"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 example for querying a task result

    The URL is valid for 24 hours. You must download the image promptly.
    {
        "status_code": 200,
        "request_id": "9d634fda-5fe9-9968-a908-xxxxxx",
        "code": null,
        "message": "",
        "output": {
            "task_id": "d35658e4-483f-453b-b8dc-xxxxxx",
            "task_status": "SUCCEEDED",
            "results": [{
                "url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.png",
                "orig_prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
                "actual_prompt": "An exquisite flower shop, with elegant carvings on the windows and a beautiful wooden door with a brass handle. Inside, a variety of colorful flowers such as roses, tulips, and lilies are displayed. The background is a warm indoor scene with soft light, creating a peaceful and comfortable atmosphere. High-definition realistic photography, close-up center composition."
            }],
            "submit_time": "2025-01-08 19:36:01.521",
            "scheduled_time": "2025-01-08 19:36:01.542",
            "end_time": "2025-01-08 19:36:13.270",
            "task_metrics": {
                "TOTAL": 1,
                "SUCCEEDED": 1,
                "FAILED": 0
            }
        },
        "usage": {
            "image_count": 1
        }
    }
    

DashScope Java SDK

The SDK parameter names align with the HTTP API, with structures adapted for Java.

Text-to-image tasks can take significant time. The SDK encapsulates the HTTP asynchronous call flow and supports both synchronous and asynchronous calls.

Processing time depends on the task queue and service status.

wan2.6

Important
  • The following code applies only to the wan2.6-t2i model.

  • Make sure that your DashScope Java SDK version is 2.22.6 or later before you run the following code.

The base_url and API key are specific to each region and cannot be used interchangeably. The following examples show how to make a call in the Beijing region:

China (Beijing)

https://dashscope.aliyuncs.com/api/v1

Singapore

https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

When calling, replace WorkspaceId with your actual workspace ID.

US (Virginia)

https://dashscope-us.aliyuncs.com/api/v1

Germany (Frankfurt)

https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/api/v1

Replace WorkspaceId with your actual Workspace ID.

The global deployment scope (Frankfurt region) supports only asynchronous calls.

Synchronous call

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.util.Collections;

public class Main {

    static {
        // This is the URL for the Beijing region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://dashscope.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 is different for each region. To get an API key: https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void basicCall() throws ApiException, NoApiKeyException, UploadFileException {
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Collections.singletonList(
                        Collections.singletonMap("text", "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display")
                )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.6-t2i")
                .n(1)
                .size("1280*1280")
                .negativePrompt("")
                .promptExtend(true)
                .watermark(false)
                .messages(Collections.singletonList(message))
                .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());
        }
        System.out.println(JsonUtils.toJson(result));
    }

    public static void main(String[] args) {
        try {
            basicCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
    }
}
Response example
The URL is valid for 24 hours. You must download the image promptly.
{
    "status_code": 200,
    "request_id": "50b57166-eaaa-4f17-b1e0-35a5ca88672c",
    "code": "",
    "message": "",
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": [
                        {
                            "image": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx",
                            "type": "image"
                        }
                    ]
                }
            }
        ],
        "finished": true
    },
    "usage": {
        "input_tokens": 0,
        "output_tokens": 0,
        "image_count": 1,
        "size": "1280*1280",
        "total_tokens": 0
    }
}

Asynchronous call

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.util.Collections;

public class Main {

    static {
        // This is the URL for the Beijing region. The base_url varies by region.
        Constants.baseHttpApiUrl = "https://dashscope.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 is different for each region. To get an API key: https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void asyncCall() throws ApiException, NoApiKeyException, UploadFileException {
        ImageGenerationMessage message = ImageGenerationMessage.builder()
                .role("user")
                .content(Collections.singletonList(
                        Collections.singletonMap("text", "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display")
                )).build();

        ImageGenerationParam param = ImageGenerationParam.builder()
                .apiKey(apiKey)
                .model("wan2.6-t2i")
                .n(1)
                .size("1280*1280")
                .negativePrompt("")
                .promptExtend(true)
                .watermark(false)
                .messages(Collections.singletonList(message))
                .build();

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

    public static void main(String[] args) {
        try {
            asyncCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
    }
}
Response examples
  1. Example response for creating a task

    {
        "status_code": 200,
        "request_id": "9cd85950-2e26-4b2c-b562-1694cf9288e5",
        "code": "",
        "message": "",
        "output": {
            "task_id": "4c861fbe-af89-4a2f-8fc5-4bb15c3139ba",
            "task_status": "PENDING"
        },
        "usage": null
    }
  1. Example response for querying the task result

    The URL is valid for 24 hours. You must download the image promptly.
    {
        "status_code": 200,
        "request_id": "cbdf1424-306e-4a52-82f3-8bf5d8a99103",
        "code": "",
        "message": "",
        "output": {
            "choices": [
                {
                    "finish_reason": "stop",
                    "message": {
                        "role": "assistant",
                        "content": [
                            {
                                "image": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.png?Expires=xxx",
                                "type": "image"
                            }
                        ]
                    }
                }
            ],
            "task_id": "4c861fbe-af89-4a2f-8fc5-4bb15c3139ba",
            "task_status": "SUCCEEDED",
            "submit_time": "2026-01-16 16:36:06.556",
            "scheduled_time": "2026-01-16 16:36:06.591",
            "end_time": "2026-01-16 16:36:25.190",
            "finished": true
        },
        "usage": {
            "input_tokens": 0,
            "output_tokens": 0,
            "size": "1280*1280",
            "total_tokens": 0,
            "image_count": 1
        }
    }

wan2.5 and earlier models

Important
  • The following code applies only to wan2.5 and earlier models.

  • Make sure that your DashScope Java SDK version is 2.22.2 or later before you run the following code.

    If your version is too old, errors such as "url error, please check url!" may occur. See Install the SDK to update.

The base_url and API key are specific to each region and cannot be used interchangeably. The following examples show how to make a call in the Beijing region:

China (Beijing)

https://dashscope.aliyuncs.com/api/v1

Singapore

https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1

When calling, replace WorkspaceId with your actual workspace ID.

Synchronous call

Request example
// 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.task.AsyncTaskListParam;
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.util.HashMap;
import java.util.Map;

public class Main {

    static {
        // This is the URL for the Beijing region. If you use a model in the Singapore region, replace the URL with: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope.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 keys for the Singapore and Beijing regions are different. To get an API key: https://help.aliyun.com/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void basicCall() throws ApiException, NoApiKeyException {
        // Set the 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-t2i-preview")
                        .prompt("A flower shop with exquisite windows, a beautiful wooden door, and flowers on display")
                        .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));
    }

    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 static void fetchTask(String taskId) throws ApiException, NoApiKeyException {
        ImageSynthesis is = new ImageSynthesis();
        // If the DASHSCOPE_API_KEY environment variable is set, you can set apiKey to null.
        ImageSynthesisResult result = is.fetch(taskId, apiKey);
        System.out.println(result.getOutput());
        System.out.println(result.getUsage());
    }

    public static void main(String[] args){
        try{
            basicCall();
            //listTask();
        }catch(ApiException|NoApiKeyException e){
            System.out.println(e.getMessage());
        }
    }
}
Response example
The URL is valid for 24 hours. You must download the image promptly.
{
    "request_id": "22f9c744-206c-9a78-899a-xxxxxx",
    "output": {
        "task_id": "4a0f8fc6-03fb-4c44-a13a-xxxxxx",
        "task_status": "SUCCEEDED",
        "results": [{
           "orig_prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
            "actual_prompt": "A flower shop with exquisitely carved windows and a beautiful dark wooden door slightly ajar. A variety of fresh flowers, including roses, lilies, and sunflowers, are on display inside, vibrant in color and fragrant. The background is a cozy indoor scene with soft light streaming through the windows onto the flowers. High-definition realistic photography, medium shot composition.",
            "url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/1.png"
        }],
        "task_metrics": {
            "TOTAL": 1,
            "SUCCEEDED": 1,
            "FAILED": 0
        }
    },
    "usage": {
        "image_count": 1
    }
}

Asynchronous call

Request example
// 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.util.HashMap;
import java.util.Map;

public class Main {

    static {
        // This is the URL for the Beijing region. If you use a model in the Singapore region, replace the URL with: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope.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 keys for the Singapore and Beijing regions are different. To get an API key: https://help.aliyun.com/en/model-studio/get-api-key
    String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public void asyncCall() {
        System.out.println("---create task----");
        String taskId = this.createAsyncTask();
        System.out.println("---wait task done then return image url----");
        this.waitAsyncTask(taskId);
    }

    /**
     * Create an asynchronous task
     * @return taskId
     */
    public String createAsyncTask() {
        // Set the 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-t2i-preview")
                        .prompt("A flower shop with exquisite windows, a beautiful wooden door, and flowers on display")
                        .n(1)
                        .size("1280*1280")
                        .negativePrompt("")
                        .parameters(parameters)
                        .build();

        ImageSynthesis imageSynthesis = new ImageSynthesis();
        ImageSynthesisResult result = null;
        try {
            result = imageSynthesis.asyncCall(param);
        } catch (Exception e){
            throw new RuntimeException(e.getMessage());
        }
        System.out.println(JsonUtils.toJson(result));
        String taskId = result.getOutput().getTaskId();
        System.out.println("taskId=" + taskId);
        return taskId;
    }

    /**
     * Wait for the asynchronous task to finish
     * @param taskId The task ID
     * */
    public void waitAsyncTask(String taskId) {
        ImageSynthesis imageSynthesis = new ImageSynthesis();
        ImageSynthesisResult result = null;
        try {
            // After configuring the environment variable, you can set apiKey to null here
            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 main(String[] args){
        Main main = new Main();
        main.asyncCall();
    }

}
Response examples
  1. Example response for creating a task

    {
    	"request_id": "5dbf9dc5-4f4c-9605-85ea-542f97709ba8",
    	"output": {
    		"task_id": "7277e20e-aa01-4709-xxxxxxxx",
    		"task_status": "PENDING"
    	}
    }
  2. Example response for querying the task result

    {
        "request_id": "22f9c744-206c-9a78-899a-xxxxxx",
        "output": {
            "task_id": "4a0f8fc6-03fb-4c44-a13a-xxxxxx",
            "task_status": "SUCCEEDED",
            "results": [{
               "orig_prompt": "A flower shop with exquisite windows, a beautiful wooden door, and flowers on display",
                "actual_prompt": "A flower shop with exquisitely carved windows and a beautiful dark wooden door slightly ajar. A variety of fresh flowers, including roses, lilies, and sunflowers, are on display inside, vibrant in color and fragrant. The background is a cozy indoor scene with soft light streaming through the windows onto the flowers. High-definition realistic photography, medium shot composition.",
                "url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/1.png"
            }],
            "task_metrics": {
                "TOTAL": 1,
                "SUCCEEDED": 1,
                "FAILED": 0
            }
        },
        "usage": {
            "image_count": 1
        }
    }

Limitations

  • Data validity: The task task_id and image url are retained for only 24 hours. After this period, they cannot be queried or downloaded.

  • Content moderation: Both the input prompt and output image undergo content moderation. Non-compliant content returns an IPInfringementSuspect or DataInspectionFailed error. See Error codes.

Billing and rate limiting

  • Check free quotas and pricing in the console.

  • For model rate limiting, see Wan series.

  • Billing is based on the number of images successfully generated. Failed calls do not incur fees and do not consume the new user free quota.

Error codes

If the model call fails and returns an error message, see Error codes for resolution.

FAQ

Q: How do I view a model's inference costs and call volume?

A: See Bill inquiry and cost management.