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    Alibaba Cloud Model Studio:Wan - text-to-video API reference

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    Alibaba Cloud Model Studio:Wan - text-to-video API reference

    Last Updated:Mar 14, 2026

    The Wan text-to-video model generates smooth videos based on text prompts.

    References: User guide

    Availability

    For successful API calls, use the same region for model, endpoint URL, and API key. Cross-region calls fail.

    Note

    Sample codes in this topic apply to the Singapore region.

    HTTP

    Text-to-video tasks take 1–5 minutes, so the API uses asynchronous invocation: Create a task → Poll for the result.

    Step 1: Create a task

    Singapore

    POST https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis

    Virginia

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

    Beijing

    POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-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 a beginner's tutorial, see Use Postman or cURL.

    Request parameters

    Multi-shot narrative

    This feature is supported only by wan2.6 series models.

    Enable this feature by setting "prompt_extend": true and "shot_type":"multi".

    curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.6-t2v",
    "input": {
        "prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: \"The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them \". ",
        "audio_url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3"
    },
    "parameters": {
        "size": "1280*720",
        "prompt_extend": true,
        "duration": 10,
        "shot_type":"multi"
    }
}'

    Automatic dubbing

    This feature is supported only by wan2.6 and wan2.5 series models.

    If you do not provide input.audio_url, the model automatically generates matching background music or sound effects based on the video content.

    curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.5-t2v-preview",
    "input": {
        "prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: \"The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them \""
    },
    "parameters": {
        "size": "832*480",
        "prompt_extend": true,
        "duration": 10
    }
}'

    Provide an audio file

    This feature is supported only by wan2.6 and wan2.5 series models.

    You can provide the URL of a custom audio file using the input.audio_url parameter.

    curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.5-t2v-preview",
    "input": {
        "prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: \"The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them \". ",
        "audio_url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3"
    },
    "parameters": {
        "size": "832*480",
        "prompt_extend": true,
        "duration": 10
    }
}'

    Generate a silent video

    Only the wan2.2 and wan2.1 series models support generating silent videos. Silent videos are generated by default, so no settings are required.

    wan2.6 and wan2.5 series models generate videos with audio by default.
    curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.2-t2v-plus",
    "input": {
        "prompt": "Low contrast, in a retro 70s style subway station, a street musician plays amidst dim colors and rough textures. He wears an old-style jacket, holds a guitar, and plays with concentration. Commuters hurry past, and a small crowd gradually gathers to listen. The camera slowly pans to the right, capturing the scene where the sound of the instrument intertwines with the city's hustle and bustle, with old-fashioned subway signs and mottled walls in the background."
    },
    "parameters": {
        "size": "832*480",
        "prompt_extend": true
    }
}'

    Use a negative prompt

    Use `negative_prompt` to exclude the "flower" element and prevent it from appearing in the video.

    curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.2-t2v-plus",
    "input": {
        "prompt": "A kitten running in the moonlight",
        "negative_prompt": "flower"
    },
    "parameters": {
        "size": "832*480"
    }
}'
    Headers

    Content-Type string (Required)

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

    Authorization string (Required)

    The authentication credentials using a Model Studio API key.

    Example: Bearer sk-xxxx

    X-DashScope-Async string (Required)

    Enables asynchronous processing. Must be enable as HTTP requests support only asynchronous processing.

    Important

    Returns "current user api does not support synchronous calls" error if not included.
    Request body

    model string (Required)

    The model name. For a list of models and their prices, see Model pricing.

    Example: wan2.6-t2v.

    input object (Required)

    Basic input information, including the prompt.

    Properties

    prompt string (Required)

    Text prompt describing the video content and visual style.

    Supports Chinese and English. Each character or letter counts as one. Text exceeding the limit is auto-truncated. Length limits by model:

    • wan2.6 and wan2.5 series models: Up to 1,500 characters.

    • wan2.2 and wan2.1 series models: Up to 800 characters.

    Example: A kitten running in the moonlight.

    For tips, see Text-to-video/image-to-video prompt guide.

    negative_prompt string (Optional)

    Negative prompt describing content to exclude from the video, constraining the output.

    Supports Chinese and English (max 500 characters, auto-truncated if exceeded).

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

    audio_url string (Optional)

    Supported models: wan2.6 and wan2.5.

    Audio file URL. The model synchronizes video generation with this audio.

    Supported input formats:

    1. Public URL:

      • Supports the HTTP and HTTPS protocols.

      • Example: https://help-static-aliyun-doc.aliyuncs.com/xxx.mp3.

    Audio limits:

    • Format: WAV, MP3.

    • Duration: 3–30s.

    • File size: Up to 15 MB.

    • Handling of limits: Audio longer than duration is truncated (e.g., 10-second audio with 5-second duration uses first 5 seconds). Audio shorter than duration results in silence for the remaining video.

    parameters object (Optional)

    Video processing parameters, including resolution, prompt rewriting, and watermarking.

    Properties

    size string (Optional)

    Important

    • The `size` parameter affects cost: Cost = Unit price (resolution-based) × Duration (seconds). For the same model: 1080P > 720P > 480P. Check model pricing before calling.

    • The `size` must be specific values (e.g., 1280*720), not ratios (1:1) or tiers (480P).

    Resolution of the generated video in width*height format. Default and available values depend on the `model` parameter:

    • wan2.6-t2v: The default value is 1920*1080 (1080P). Optional resolutions: All resolutions corresponding to 720P and 1080P.

    • wan2.6-t2v-us: The default value is 1920*1080 (1080P). Available resolutions: all resolutions that correspond to 720P and 1080P.

    • wan2.5-t2v-preview: The default value is 1920*1080 (1080P). Optional resolutions: All resolutions corresponding to 480P, 720P, and 1080P.

    • wan2.2-t2v-plus: The default value is 1920*1080 (1080P). Optional resolutions: All resolutions corresponding to 480P and 1080P.

    • wan2.1-t2v-turbo : The default value is 1280*720 (720P). Optional resolutions: All resolutions corresponding to 480P and 720P.

    • wan2.1-t2v-plus: The default value is 1280*720 (720P). Optional resolutions: All resolutions corresponding to 720P.

    480P tier: The optional video resolutions and their corresponding aspect ratios are:

    • 832*480: 16:9.

    • 480*832: 9:16.

    • 624*624: 1:1.

    720P tier: The optional video resolutions and their corresponding aspect ratios are:

    • 1280*720: 16:9.

    • 720*1280: 9:16.

    • 960*960: 1:1.

    • 1088*832: 4:3.

    • 832*1088: 3:4.

    1080P tier: The optional video resolutions and their corresponding aspect ratios are:

    • 1920*1080: 16:9.

    • 1080*1920: 9:16.

    • 1440*1440: 1:1.

    • 1632*1248: 4:3.

    • 1248*1632: 3:4.

    duration integer (Optional)

    Important

    The `duration` parameter affects cost: Cost = Unit price (resolution-based) × Duration (seconds). Check model pricing before calling.

    Duration of the generated video (seconds). Depends on the `model` parameter:

    • wan2.6-t2v: An integer from 2 to 15. The default value is 5.

    • wan2.6-t2v-us: Optional values are 5 and 10. The default value is 5.

    • wan2.5-t2v-preview: Optional values are 5 and 10. The default value is 5.

    • wan2.2-t2v-plus: Fixed at 5 seconds and cannot be modified.

    • wan2.1-t2v-plus: Fixed at 5 seconds and cannot be modified.

    • wan2.1-t2v-turbo: Fixed at 5 seconds and cannot be modified.

    Example: 5.

    prompt_extend boolean (Optional) Defaults to true

    Whether to enable prompt rewriting. When enabled, an LLM rewrites the input prompt. This can significantly improve generation quality for shorter prompts but also increases processing time.

    • true

    • false

    Example: true

    shot_type string (Optional)

    Supported models: wan2.6 series models.

    Shot type of the generated video: single continuous shot or multiple changing shots.

    Takes effect only when "prompt_extend": true.

    Parameter priority: shot_type > prompt. If `shot_type` is "single", the model outputs a single-shot video even if the prompt requests multi-shot.

    Optional values:

    • single (default)

    • multi

    Example: single.

    Note

    Use this parameter when you need to strictly control the narrative structure of the video, such as using a single shot for a product display or multiple shots for a short story.

    watermark boolean (Optional)

    Whether to add a watermark. The watermark appears in the lower-right corner with fixed text "AI Generated".

    • false (default)

    • true

    Example: false.

    seed integer (Optional)

    The random number seed. Must be an integer between 0 and 2147483647.

    If not provided, a random seed is generated. Using a fixed seed improves reproducibility, though results may still vary due to model randomness.

    Example: 12345

    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 to resolve the issue.

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

    output object

    Task output information.

    Properties

    task_id string

    The ID of the task. Can be used to query the task for up to 24 hours.

    task_status string

    The status of the task.

    Enumeration

    • PENDING

    • RUNNING

    • SUCCEEDED

    • FAILED

    • CANCELED

    • UNKNOWN: Task does not exist or status is unknown

    request_id string

    Unique identifier for the request. Use for tracing and troubleshooting issues.

    code string

    The error code. Returned only when the request fails. See error codes for details.

    message string

    Detailed error message. Returned only when the request fails. See error codes for details.

    Step 2: Query the result

    Singapore

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

    Virginia

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

    Beijing

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

    Note

    • Polling suggestion: Video generation can take several minutes. Use a polling mechanism with a reasonable query interval, such as 15 seconds, to retrieve the result.

    • Task status transition: PENDING → RUNNING → SUCCEEDED or FAILED.

    • Result URL: After the task is successful, a video URL is returned. The URL is valid for 24 hours. After you retrieve the URL, you must immediately download and save the video to a permanent storage service, such as Object Storage Service (OSS).

    • task_id validity: 24 hours. After this period, you cannot query the result, and the API returns a task status of UNKNOWN.

    Request parameters

    Query task result

    Replace {task_id} with the task_id value returned by the previous API call. task_id is valid for queries within 24 hours.

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

    Authorization string (Required)

    The authentication credentials using a Model Studio API key.

    Example: Bearer sk-xxxx
    Path parameters

    task_id string (Required)

    The ID of the task to query.

    Response parameters

    Task executed successfully

    Video URLs are retained for only 24 hours and then automatically purged. Save generated videos promptly.

    {
    "request_id": "abbf7aa3-9652-4785-a622-xxxxxx",
    "output": {
        "task_id": "38513c71-5190-48e1-9f3b-xxxxxx",
        "task_status": "SUCCEEDED",
        "submit_time": "2025-09-29 14:05:22.119",
        "scheduled_time": "2025-09-29 14:05:28.278",
        "end_time": "2025-09-29 14:10:00.437",
        "orig_prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective's office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '. ",
        "video_url": "https://dashscope-result-sh.oss-accelerate.aliyuncs.com/xxx.mp4?Expires=xxx"
    },
    "usage": {
        "duration": 10,
        "size": "1280*720",
        "input_video_duration": 0,
        "output_video_duration": 10,
        "video_count": 1,
        "SR": 720
    }
}

    Task execution failed

    When a task fails, task_status is set to FAILED with an error code and message. See error codes to resolve the issue.

    {
    "request_id": "e5d70b02-ebd3-98ce-9fe8-759d7d7b107d",
    "output": {
        "task_id": "86ecf553-d340-4e21-af6e-a0c6a421c010",
        "task_status": "FAILED",
        "code": "InvalidParameter",
        "message": "The size is not match xxxxxx"
    }
}

    Task query expired

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

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

    output object

    Task output information.

    Properties

    task_id string

    The ID of the task. Can be used to query the task for up to 24 hours.

    task_status string

    The status of the task.

    Enumeration

    • PENDING

    • RUNNING

    • SUCCEEDED

    • FAILED

    • CANCELED

    • UNKNOWN: Task does not exist or status is unknown

    Status transitions during polling:

    • PENDING → RUNNING → SUCCEEDED or FAILED

    • First query typically returns PENDING or RUNNING

    • SUCCEEDED status includes the generated video URL in the response

    • FAILED status requires checking the error message and retrying

    submit_time string

    The time when the task was submitted. Time is in UTC+8. Format: YYYY-MM-DD HH:mm:ss.SSS.

    scheduled_time string

    The time when the task started running. Time is in UTC+8. Format: YYYY-MM-DD HH:mm:ss.SSS.

    end_time string

    The time when the task was completed. Time is in UTC+8. Format: YYYY-MM-DD HH:mm:ss.SSS.

    video_url string

    The URL of the generated video. Returned only when task_status is SUCCEEDED.

    URL is valid for 24 hours. Use to download the video in MP4 format with H.264 encoding.

    orig_prompt string

    The original input prompt. This is the value of the prompt request parameter.

    actual_prompt string

    When prompt_extend=true, this returns the system-optimized prompt used for generation.

    • If prompt_extend=false, this field is not returned.

    • Note: The wan2.6 model does not return this field, regardless of the value of prompt_extend.

    code string

    The error code. Returned only when the request fails. See error codes for details.

    message string

    Detailed error message. Returned only when the request fails. See error codes for details.

    usage object

    Statistics for the output. Only successful results are counted.

    Properties

    video_duration integer

    Returned only for wan2.5 or earlier models (used for billing).

    The duration of the generated video, in seconds. Enumeration values are 5 and 10.

    duration float

    Returned only for the wan2.6 model (used for billing).

    Indicates the total video duration, where duration=input_video_duration+output_video_duration.

    input_video_duration integer

    Returned only for the wan2.6 model (fixed value: 0).

    output_video_duration integer

    Returned only for the wan2.6 model. Duration of the output video (seconds), matching input.duration.

    SR integer

    Returned only for the wan2.6 model. Resolution tier of the generated video. Example: 720.

    size string

    Returned only for the wan2.6 model. Resolution of the generated video in "width*height" format. Example: 1920*1080.

    video_ratio string

    Returned only for wan2.5 or earlier models. Resolution of the generated video in "width*height" format. Example: 832*480.

    video_count integer

    The number of generated videos. The value is fixed at 1.

    request_id string

    Unique identifier for the request. Use for tracing and troubleshooting issues.

    DashScope SDK

    SDK parameter names mostly match the HTTP API, with structures following language-specific conventions.

    Text-to-video tasks take 1–5 minutes, so the SDK wraps the asynchronous HTTP call flow and supports both synchronous and asynchronous invocation.

    The actual time required depends on the number of tasks in the queue and the service's execution status.

    Python SDK

    Important

    Make sure that your DashScope Python SDK version is at least 1.25.8 before you run the following code.

    If you use an older version, you may encounter errors such as "url error, please check url!". To update the SDK, see Install the SDK.

    Set base_http_api_url based on the region where the model is located:

    Synchronous invocation

    Request example
    from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope
import os

# Singapore region URL. URLs vary by region. See: https://www.alibabacloud.com/help/en/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# If no environment variable configured, replace with your Model Studio API key: api_key="sk-xxx"
# API keys vary by region. See: https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

def sample_sync_call_t2v():
    # Call sync API and return result
    print('please wait...')
    rsp = VideoSynthesis.call(api_key=api_key,
                              model='wan2.6-t2v',
                              prompt="Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '.",
                              audio_url='https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3',
                              size='1280*720',
                              duration=10,
                              negative_prompt="",
                              prompt_extend=True,
                              watermark=False,
                              seed=12345)
    print(rsp)
    if rsp.status_code == HTTPStatus.OK:
        print(rsp.output.video_url)
    else:
        print('Failed, status_code: %s, code: %s, message: %s' %
              (rsp.status_code, rsp.code, rsp.message))


if __name__ == '__main__':
    sample_sync_call_t2v()
    Response example
    The video_url is valid for 24 hours. Download promptly.
    {
    "status_code": 200,
    "request_id": "167f3beb-3dd0-47fe-a83c-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "5b65411f-d946-4e29-859e-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-bj.oss-accelerate.aliyuncs.com/xxx.mp4?Expires=xxx",
        "submit_time": "2025-10-23 11:47:23.879",
        "scheduled_time": "2025-10-23 11:47:34.351",
        "end_time": "2025-10-23 11:52:35.323",
        "orig_prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective's office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '. "
    },
    "usage": {
        "video_count": 1,
        "video_duration": 0,
        "video_ratio": "",
        "duration": 10,
        "size": "1280*720",
        "input_video_duration": 0,
        "output_video_duration": 10,
        "SR": 720
    }
}

    Asynchronous invocation

    Request example
    from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope
import os

# Singapore region URL. URLs vary by region. See: https://www.alibabacloud.com/help/en/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# If no environment variable configured, replace with your Model Studio API key: api_key="sk-xxx"
# API keys vary by region. See: https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY")

def sample_async_call_t2v():
    # Call async API and return task info (use task ID to check status)
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model='wan2.6-t2v',
                                    prompt="Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '.",
                                    audio_url='https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3',
                                    size='1280*720',
                                    duration=10,
                                    negative_prompt="",
                                    prompt_extend=True,
                                    watermark=False,
                                    seed=12345)
    print(rsp)
    if rsp.status_code == HTTPStatus.OK:
        print("task_id: %s" % rsp.output.task_id)
    else:
        print('Failed, status_code: %s, code: %s, message: %s' %
              (rsp.status_code, rsp.code, rsp.message))
                           
    # Get the task information, including the task status.
    status = VideoSynthesis.fetch(task=rsp, api_key=api_key)
    if status.status_code == HTTPStatus.OK:
        print(status.output.task_status)  # Check the task status
    else:
        print('Failed, status_code: %s, code: %s, message: %s' %
              (status.status_code, status.code, status.message))

    # Wait for the task to complete. This calls fetch at intervals and checks if the task is in a finished state.
    rsp = VideoSynthesis.wait(task=rsp, api_key=api_key)
    print(rsp)
    if rsp.status_code == HTTPStatus.OK:
        print(rsp.output.video_url)
    else:
        print('Failed, status_code: %s, code: %s, message: %s' %
              (rsp.status_code, rsp.code, rsp.message))


if __name__ == '__main__':
    sample_async_call_t2v()
    Response example

    1. Example of a response to a task creation request

    {
	"status_code": 200,
	"request_id": "c86ff7ba-8377-917a-90ed-xxxxxx",
	"code": "",
	"message": "",
	"output": {
		"task_id": "721164c6-8619-4a35-a6d9-xxxxxx",
		"task_status": "PENDING",
		"video_url": ""
	},
	"usage": null
}

    2. Example of a response to a task query request

    The video_url is valid for 24 hours. Download promptly.
    {
    "status_code": 200,
    "request_id": "167f3beb-3dd0-47fe-a83c-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "5b65411f-d946-4e29-859e-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-bj.oss-accelerate.aliyuncs.com/xxx.mp4?Expires=xxx",
        "submit_time": "2025-10-23 11:47:23.879",
        "scheduled_time": "2025-10-23 11:47:34.351",
        "end_time": "2025-10-23 11:52:35.323",
        "orig_prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective's office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '. "
    },
    "usage": {
        "video_count": 1,
        "video_duration": 0,
        "video_ratio": "",
        "duration": 10,
        "size": "1280*720",
        "input_video_duration": 0,
        "output_video_duration": 10,
        "SR": 720
    }
}

    Java SDK

    Important

    Ensure that your DashScope Java SDK version is 2.22.6 or later, and then run the following code.

    If you use an older version, you may encounter errors such as "url error, please check url!". To update the SDK, see Install the SDK.

    Set baseHttpApiUrl based on the region where the model is located:

    Singapore

    Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";

    Virginia

    Constants.baseHttpApiUrl = "https://dashscope-us.aliyuncs.com/api/v1";

    Beijing

    Constants.baseHttpApiUrl = "https://dashscope.aliyuncs.com/api/v1";

    Synchronous invocation

    Request example
    // Copyright (c) Alibaba, Inc. and its affiliates.

// dashscope sdk >= 2.18.2
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesis;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisParam;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.utils.Constants;

import java.util.HashMap;
import java.util.Map;

public class Text2Video {

    static {
          // Singapore region URL. URLs vary by region. See: https://www.alibabacloud.com/help/en/model-studio/text-to-video-api-reference
         Constants.baseHttpApiUrl="https://dashscope-intl.aliyuncs.com/api/v1";
    }
    
    // If no environment variable configured, replace with your Model Studio API key: apiKey="sk-xxx"
    // API keys vary by region. See: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    public static String apiKey = System.getenv("DASHSCOPE_API_KEY");


    public static void text2Video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
        Map<String, Object> parameters = new HashMap<>();
        parameters.put("prompt_extend", true);
        parameters.put("watermark", false);
        parameters.put("seed", 12345);

        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.6-t2v")
                        .prompt("Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '.")
                        .audioUrl("https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3")
                        .negativePrompt("")
                        .size("1280*720")
                        .duration(10)
                        .parameters(parameters)
                        .build();
        System.out.println("please wait...");
        VideoSynthesisResult result = vs.call(param);
        System.out.println(JsonUtils.toJson(result));
    }

    public static void main(String[] args) {
        try {
            text2Video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}
    Response example
    The video_url is valid for 24 hours. Download promptly.
    {
    "request_id": "c1209113-8437-424f-a386-xxxxxx",
    "output": {
        "task_id": "966cebcd-dedc-4962-af88-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-sh.oss-accelerate.aliyuncs.com/xxx.mp4?Expires=xxx",
        "orig_prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '",
        "submit_time": "2026-01-22 23:13:40.553",
        "scheduled_time": "2026-01-22 23:13:49.415",
        "end_time": "2026-01-22 23:17:56.380"
    },
    "usage": {
        "video_count": 1,
        "duration": 10.0,
        "size": "1280*720",
        "input_video_duration": 0.0,
        "output_video_duration": 10.0,
        "SR": "720"
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

    Asynchronous invocation

    Request example
    // Copyright (c) Alibaba, Inc. and its affiliates.

import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesis;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisListResult;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisParam;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.task.AsyncTaskListParam;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.utils.Constants;

import java.util.HashMap;
import java.util.Map;

public class Text2Video {
    static {
        // The following is the URL for the Singapore region. The URLs for different regions vary. To get the URL: https://www.alibabacloud.com/help/en/model-studio/text-to-video-api-reference
        Constants.baseHttpApiUrl="https://dashscope-intl.aliyuncs.com/api/v1";
    }

     // If no environment variable configured, replace with your Model Studio API key: apiKey="sk-xxx"
    // API keys vary by region. See: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    public static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void text2Video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
        Map<String, Object> parameters = new HashMap<>();
        parameters.put("prompt_extend", true);
        parameters.put("watermark", false);
        parameters.put("seed", 12345);

        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.6-t2v")
                        .prompt("Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '.")
                        .audioUrl("https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250929/stjqnq/fox.mp3")
                        .negativePrompt("")
                        .size("1280*720")
                        .duration(10)
                        .parameters(parameters)
                        .build();

        // Asynchronous call
        VideoSynthesisResult task = vs.asyncCall(param);
        System.out.println(JsonUtils.toJson(task));
        System.out.println("please wait...");

        // Get the result
        VideoSynthesisResult result = vs.wait(task, apiKey);
        System.out.println(JsonUtils.toJson(result));
    }

     // Get the task list
    public static void listTask() throws ApiException, NoApiKeyException {
        VideoSynthesis is = new VideoSynthesis();
        AsyncTaskListParam param = AsyncTaskListParam.builder().build();
        param.setApiKey(apiKey);
        VideoSynthesisListResult result = is.list(param);
        System.out.println(result);
    }

    // Get the result of a single task
    public static void fetchTask(String taskId) throws ApiException, NoApiKeyException {
        VideoSynthesis is = new VideoSynthesis();
        // If DASHSCOPE_API_KEY is set as an environment variable, apiKey can be null.
        VideoSynthesisResult result = is.fetch(taskId, apiKey);
        System.out.println(result.getOutput());
        System.out.println(result.getUsage());
    }

    public static void main(String[] args) {
        try {
            text2Video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}
    Response example

    1. Example of a response to a task creation request.

    {
        "request_id": "5dbf9dc5-4f4c-9605-85ea-xxxxxxxx",
	"output": {
		"task_id": "7277e20e-aa01-4709-xxxxxxxx",
		"task_status": "PENDING"
	}
}

    2. Example of a response to a task query request

    The video_url is valid for 24 hours. Download promptly.
    {
    "request_id": "c1209113-8437-424f-a386-xxxxxx",
    "output": {
        "task_id": "966cebcd-dedc-4962-af88-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-sh.oss-accelerate.aliyuncs.com/xxx.mp4?Expires=xxx",
        "orig_prompt": "Shot from a low angle, in a medium close-up, with warm tones, mixed lighting (the practical light from the desk lamp blends with the overcast light from the window), side lighting, and a central composition. In a classic detective office, wooden bookshelves are filled with old case files and ashtrays. A green desk lamp illuminates a case file spread out in the center of the desk. A fox, wearing a dark brown trench coat and a light gray fedora, sits in a leather chair, its fur crimson, its tail resting lightly on the edge, its fingers slowly turning yellowed pages. Outside, a steady drizzle falls beneath a blue sky, streaking the glass with meandering streaks. It slowly raises its head, its ears twitching slightly, its amber eyes gazing directly at the camera, its mouth clearly moving as it speaks in a smooth, cynical voice: 'The case was cold, colder than a fish in winter. But every chicken has its secrets, and I, for one, intended to find them '",
        "submit_time": "2026-01-22 23:13:40.553",
        "scheduled_time": "2026-01-22 23:13:49.415",
        "end_time": "2026-01-22 23:17:56.380"
    },
    "usage": {
        "video_count": 1,
        "duration": 10.0,
        "size": "1280*720",
        "input_video_duration": 0.0,
        "output_video_duration": 10.0,
        "SR": "720"
    },
    "status_code": 200,
    "code": "",
    "message": ""
}

    Limitations

    • Data validity: Task task_id and video video_url are retained for 24 hours only. After expiration, query and download are unavailable.

    • Content moderation: Input and output are subject to content moderation. Prohibited content triggers "IPInfringementSuspect" or "DataInspectionFailed" errors. See Error messages.

    Error codes

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

    FAQ

    Q: How do I convert a temporary video link to a permanent one?

    A: Direct conversion is not possible. Download the video from the URL and upload it to permanent object storage (e.g., Alibaba Cloud OSS) to generate a permanent link.

    Example code: Download a video to a local device

    import requests

def download_and_save_video(video_url, save_path):
    try:
        response = requests.get(video_url, stream=True, timeout=300) # Set a timeout
        response.raise_for_status() # If the HTTP status code is not 200, raise an exception
        with open(save_path, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)
        print(f"Video successfully downloaded to: {save_path}")
        # You can add the logic to upload to permanent storage here
    except requests.exceptions.RequestException as e:
        print(f"Failed to download video: {e}")

if __name__ == '__main__':
    video_url = "http://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxxx"
    save_path = "video.mp4"
    download_and_save_video(video_url, save_path)

    Q: Can the returned video link be played directly in a browser?

    A: Not recommended (link expires after 24 hours). Best practice: download and store the video, then use a permanent link for playback.

    Q: How do I get the domain name whitelist for video storage?

    A: Videos generated by models are stored in OSS. The API returns a temporary public URL. To configure a firewall whitelist for this download URL, note the following: The underlying storage may change dynamically. This topic does not provide a fixed OSS domain name whitelist to prevent access issues caused by outdated information. If you have security control requirements, contact your account manager to obtain the latest OSS domain name list.