Wan2.1 image-to-video: first frame API reference - Alibaba Cloud Model Studio

This topic describes the input and output parameters of the Wan Image-to-video model.

Model overview

Wan Image-to-video transforms static images into dynamic videos. It features strong instruction-following capabilities, supports complex movements and realistic physics, and generates videos with rich artistic styles and cinematic visual quality.

You can experience it on the Wan official website.

Note

The features on the official website may differ from the capabilities supported by the API. For specific capabilities, refer to those listed in this topic. This topic will be updated promptly when new features are added.

Performance showcase

Sample input

Output video

Prompt: A cat running on the grass

Image:

Output video: Takes the input image as the first frame, then generates the subsequent video content based on a prompt.

Model: wan2.1-i2v-turbo.

Model introduction

Name	Description
wan2.1-i2v-turbo	Faster generation, taking only one-third of the time of the Plus model, offering better cost-effectiveness.
wan2.1-i2v-plus	Rich details and enhanced texture.

Name	Unit price	Rate limits (shared between Alibaba Cloud account and RAM users)		Free quota
		Requests per second (RPS) for task submission	Number of concurrent tasks
wan2.1-i2v-turbo	$0.036/second	2	2	Free quota: 200 seconds each Valid for 180 days after activation
wan2.1-i2v-plus	$0.10/second	2	2

Learn more about Billing and rate limiting.

Prerequisites

The image-to-video API supports calls through HTTP and DashScope SDK.

Before you make a call, you must first obtain an API key and set the API key as an environment variable.

If you need to use SDK, you must install the SDK for Python or Java.

HTTP

The video generation model processing takes a relatively long time. To avoid request timeouts, HTTP calls only support asynchronous retrieval of model results. You need to make two requests:

Create task: Send a request to create a task, which will return a task ID.
Query results using the ID: Use the task ID to query the task status and results. If successful, a video URL will be returned, which is valid for 24 hours.

Note

After you create a task, it will be added to a queue. Later, call the query interface to get the task status and results based on the task ID.

Image-to-video generation takes a relatively long time. The turbo model takes 3-5 minutes, while the plus model takes 7-10 minutes. The actual time depends on the number of queued tasks and network conditions.

Step 1: Create task

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

Request parameters	Image-to-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": "wan2.1-i2v-turbo", "input": { "prompt": "a cat running on the grass", "img_url": "https://cdn.translate.alibaba.com/r/wanx-demo-1.png" }, "parameters": { "resolution": "720P", "prompt_extend": true } }'`
Headers
Content-Type `string` (Required) The type of the request content. This parameter must be set to `application/json`.
Authorization `string` (Required) The identity authentication for the request, which is the Model Studio API key. Example: Bearer d1xxx2a.
X-DashScope-Async `string` (Required) The asynchronous processing parameter. HTTP requests only support asynchronous mode, so this parameter must be set to `enable`.
Request body
model `string` (Required) The model name. Example value: wan2.1-i2v-turbo.
input `object` (Required) Basic input information, such as prompts. Properties prompt `string` (Optional) The text prompt. Supports Chinese and English, with a maximum length of 800 characters. Each Chinese character or letter counts as one character. Content exceeding this limit will be truncated. Example value: A cat running on the grass. For tips, see Text-to-video/image-to-video prompt guide. img_url `string` (Required) The URL of the first frame image. The URL must be publicly accessible and support HTTP or HTTPS protocols. Image restrictions: Image formats: JPEG, JPG, PNG (alpha channel not supported), BMP, WEBP. Resolution: The width and height must be within [360, 2000] pixels. File size: Not exceeding 10MB.
parameters `object` (Optional) The video processing parameters. Properties resolution `string` (Optional) The resolution level of the generated video. Valid values: `480P`, `720P`. Default value: 720P. Video resolution levels supported by the models: wan2.1-i2v-turbo: 480P, 720P. wan2.1-i2v-plus: 720P. The model maintains the aspect ratio of the input image in the output video. While keeping the aspect ratio unchanged, you can use the resolution parameter to adjust the output video resolution to approximately match the total pixels of the specified level. `480P`: Video resolution of 640×480 (approximately 310,000 pixels), with an aspect ratio of 4:3. `720P`: Video resolution of 1280×720 (approximately 920,000 pixels), with an aspect ratio of 16:9. Example: If the input image has an aspect ratio of 4:5 and you select the 480P level, the output video will maintain the 4:5 aspect ratio, and the resolution will be adjusted to approximately 310,000 pixels. The output video resolution might be 480×600, totaling 288,000 pixels (this is for reference only, actual output may vary). duration `integer` (Optional) The duration of the generated video. Default value: 5, in seconds. `wan2.1-i2v-turbo`: 3, 4, or 5. `wan2.1-i2v-plus`: Fixed as 5. prompt_extend `bool` (Optional) Specifies whether to enable intelligent prompt rewriting. When enabled, an LLM will rewrite the input prompt. This significantly improves generation results for shorter prompts but increases processing time. true (default) false seed `integer` (Optional) The random seed, used to control the randomness of model-generated content. The value range is `[0, 2147483647]`. If not provided, the algorithm automatically generates a random seed. If you want the generated content to remain relatively stable, you can use the same seed.

Response parameters	Successful response `{ "output": { "task_status": "PENDING", "task_id": "0385dc79-5ff8-4d82-bcb6-xxxxxx" }, "request_id": "4909100c-7b5a-9f92-bfe5-xxxxxx" }` Error response `{ "code":"InvalidApiKey", "message":"Invalid API-key provided.", "request_id":"fb53c4ec-1c12-4fc4-a580-xxxxxx" }`
output `object` The task output information. Properties task_id `string` The task ID. task_status `string` The task status. Valid values PENDING RUNNING SUCCEEDED FAILED CANCELED UNKNOWN
request_id `string` The request ID. It can be used for tracing and troubleshooting.
code `string` The error code for a failed request. This parameter is not returned when the request is successful.
message `string` The error message for a failed request. This parameter is not returned when the request is successful.

Step 2: Query results by task ID

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

Request parameters	Query task results Replace `86ecf553-d340-4e21-xxxxxxxxx` with the actual task_id. `curl -X GET \ --header "Authorization: Bearer $DASHSCOPE_API_KEY" \ https://dashscope-intl.aliyuncs.com/api/v1/tasks/86ecf553-d340-4e21-xxxxxxxxx`
Headers
Authorization `string` (Required) The identity authentication for the request, which is the Model Studio API key. Example: Bearer d1xxx2a.
Path parameters
task_id `string` (Required) The task ID.

Response parameters	Task succeeded Task data (such as task status and video URL) will be automatically deleted after 24 hours. Save the generated videos promptly. `{ "request_id": "ec016349-6b14-9ad6-8009-xxxxxx", "output": { "task_id": "3f21a745-9f4b-4588-b643-xxxxxx", "task_status": "SUCCEEDED", "submit_time": "2025-01-16 14:43:28.785", "scheduled_time": "2025-01-16 14:43:28.805", "end_time": "2025-01-16 14:47:51.259", "video_url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.mp4?xxxxx" }, "usage": { "video_duration": 5, "video_ratio": "standard", "video_count": 1 } }` Task failed If the task fails for some reason, the task status will be set to FAILED, and the code and message fields will show the reason. `{ "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" } }`
output `object` The task output information. Properties task_id `string` The task ID. task_status `string` The task status. Valid values PENDING RUNNING SUCCEEDED FAILED CANCELED UNKNOWN submit_time `string` The time when the task was submitted. scheduled_time `string` The execution duration of the task. end_time `string` The time when the task was completed. video_url `string` The video URL. Use it to download the video. code `string` The error code for a failed request. This parameter is not returned when the request is successful. message `string` The error message for a failed request. This parameter is not returned when the request is successful.
usage `object` The output statistics. It only counts successful results. Properties video_duration `integer` The duration of the generated video, in seconds. video_count `integer` The number of generated videos. video_ratio `string` The aspect ratio of the generated video. Fixed as `standard`.
request_id `string` The request ID. It can be used for tracing and troubleshooting.

Dashscope SDK

Make sure you have installed the latest version of the DashScope SDK. Otherwise, you might encounter errors.

DashScope SDK currently supports Python and Java.

The parameter names in the SDK are basically the same as the HTTP interface. The parameter structure depends on the SDK encapsulation of different languages. For parameter descriptions, refer to HTTP.

Because video model processing takes a long time, the underlying service uses an asynchronous approach. The SDK provides encapsulation at the upper layer and supports both synchronous and asynchronous calling methods.

Image-to-video generation takes a relatively long time. The turbo model takes 3-5 minutes, while the plus model takes 7-10 minutes. The actual time depends on the number of queued tasks and network conditions.

Python SDK

When processing image files using the Python SDK, you can provide either a public URL or a local file path. Choose one of the following two methods.

Public URL: The URL must be publicly accessible and support HTTP or HTTPS protocol.
Local file path: You can provide either the absolute path or the relative path of the file, see the following table:

Operating system	File path format	Example (absolute)	Example (relative)
Linux or macOS	file://{absolute or relative path of the file}	file:///home/images/test.png	file://./images/test.png
Windows	file://{absolute or relative path of the file}	file://D:/images/test.png	file://./images/test.png

Synchronous calling

Sample request

import os
from http import HTTPStatus
# dashscope sdk >= 1.23.4
from dashscope import VideoSynthesis
import dashscope

dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# Get DashScope API Key from environment variables (Alibaba Cloud Model Studio API key)
api_key = os.getenv("DASHSCOPE_API_KEY")

# ========== Image input methods (choose one) ==========
# [Method 1] Use a public image URL
img_url = "https://cdn.translate.alibaba.com/r/wanx-demo-1.png"

# [Method 2] Use a local file path (file://+file path)
# Using absolute path
# img_url = "file://" + "/path/to/your/img.png"    # Linux/macOS
# img_url = "file://" + "C:/path/to/your/img.png"  # Windows
# Or using relative path
# img_url = "file://" + "./img.png"                # Use actual path

def sample_async_call_i2v():
    # call async api, will return the task information
    # you can get task status with the returned task id.
    rsp = VideoSynthesis.async_call(model='wan2.1-i2v-turbo',
                                    prompt='a cat running on the grass',
                                    img_url=img_url)
    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 include the task status.
    status = VideoSynthesis.fetch(rsp)
    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 the task complete, will call fetch interval, and check it's in finished status.
    rsp = VideoSynthesis.wait(rsp)
    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_i2v()

Sample response

The video_url is valid for 24 hours. Download the video promptly.

{
    "status_code": 200,
    "request_id": "aead6248-1bb3-9506-8c72-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "3bd8b12f-da4d-4882-badb-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.mp4?xxxxxx",
        "submit_time": "2025-02-12 10:35:47.260",
        "scheduled_time": "2025-02-12 10:35:48.304",
        "end_time": "2025-02-12 10:41:13.449",
        "orig_prompt": "a cat running on the grass",
        "actual_prompt": "a cat running on the grass, stable camera movement, stable image, high definition, close-up, exquisite, professional video"
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Asynchronous calling

Sample request

import os
from http import HTTPStatus
# dashscope sdk >= 1.23.4
from dashscope import VideoSynthesis
import dashscope

dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# Get DashScope API Key from environment variables (Alibaba Cloud Model Studio API key)
api_key = os.getenv("DASHSCOPE_API_KEY")

# ========== Image input methods (choose one) ==========
# [Method 1] Use a public image URL
img_url = "https://cdn.translate.alibaba.com/r/wanx-demo-1.png"

# [Method 2] Use a local file path (file://+file path)
# Using absolute path
# img_url = "file://" + "/path/to/your/img.png"    # Linux/macOS
# img_url = "file://" + "C:/path/to/your/img.png"  # Windows
# Or using relative path
# img_url = "file://" + "./img.png"                # Use actual path

def sample_async_call_i2v():
    # call async api, will return the task information
    # you can get task status with the returned task id.
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model='wan2.1-i2v-turbo',
                                    prompt='a cat running on the grass',
                                    img_url=img_url)
    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 include the task status.
    status = VideoSynthesis.fetch(rsp)
    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 the task complete, will call fetch interval, and check it's in finished status.
    rsp = VideoSynthesis.wait(rsp)
    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_i2v()

Sample response

1. Create task

{
    "status_code": 200,
    "request_id": "6dc3bf6c-be18-9268-9c27-xxxxxx",
    "code": "",
    "message": "",
    "output": {
        "task_id": "686391d9-7ecf-4290-a8e9-xxxxxx",
        "task_status": "PENDING",
        "video_url": ""
    },
    "usage": null
}

2. Query task results

The video_url is valid for 24 hours. Download the video promptly.

{
    "status_code": 200,
    "request_id": "c62edc62-5b7a-9d21-9d55-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "686391d9-7ecf-4290-a8e9-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com/xxx.mp4?xxxxxx",
        "submit_time": "2025-02-12 10:25:57.668",
        "scheduled_time": "2025-02-12 10:28:04.052",
        "end_time": "2025-02-12 10:32:43.580"
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Java SDK

When processing image files using the Java SDK, you can provide either a public URL or a local file path. Choose one of the following two methods.

Public file URL: The URL must be publicly accessible and support HTTP or HTTPS protocol.
Local file path: Only absolute paths are supported, see the following table.

Operating system	File path format	Example
Linux or macOS	file://{absolute path of the file}	file:///home/images/test.png
Windows	file:///{absolute path of the file}	file:///D:/images/test.png

Synchronous calling

Sample request

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

// dashscope sdk >= 2.20.1
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.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

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

public class Image2Video {

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

     // Get DashScope API Key from environment variables (Alibaba Cloud Model Studio API key)
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    /**
     * Image input methods (choose one)
     *
     * [Method 1] Public URL
     */
    static String imgUrl = "https://cdn.translate.alibaba.com/r/wanx-demo-1.png";

    /**
     * [Method 2] Local file path (file://+absolute path or file:///+absolute path)
     */
    // static String imgUrl = "file://" + "/your/path/to/img.png";     // Linux/macOS
    // static String imgUrl = "file:///" + "C:/your/path/to/img.png";  // Windows

    public static void image2video() throws ApiException, NoApiKeyException, InputRequiredException {
        // Set parameters
        Map parameters = new HashMap<>();
        parameters.put("prompt_extend", true);

        VideoSynthesis vs = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.1-i2v-turbo")
                        .prompt("a cat running on the grass")
                        .imgUrl(imgUrl)
                        .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 {
            image2video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Sample response

The video_url is valid for 24 hours. Download the video promptly.

{
    "request_id": "3171aa20-c479-9dc2-ae55-xxxxxx",
    "output": {
        "task_id": "8b61b356-45ad-45f3-9be2-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.mp4?xxxxxx"
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Asynchronous calling

Sample request

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

// dashscope sdk >= 2.20.1
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.Constants;
import com.alibaba.dashscope.utils.JsonUtils;

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

public class Image2Video {

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

     // Get DashScope API Key from environment variables (Alibaba Cloud Model Studio API key)
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    /**
     * Image input methods (choose one)
     *
     * [Method 1] Public URL
     */
    static String imgUrl = "https://cdn.translate.alibaba.com/r/wanx-demo-1.png";

    /**
     * [Method 2] Local file path (file://+absolute path or file:///+absolute path)
     */
    // static String imgUrl = "file://" + "/your/path/to/img.png";     // Linux/macOS
    // static String imgUrl = "file:///" + "C:/your/path/to/img.png";  // Windows

    public static void image2video() throws ApiException, NoApiKeyException, InputRequiredException {
        // Set parameters
        Map parameters = new HashMap<>();
        parameters.put("prompt_extend", true);

        VideoSynthesis vs = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.1-i2v-turbo")
                        .prompt("a cat running on the grass")
                        .imgUrl(imgUrl)
                        .parameters(parameters)
                        .build();
        // Asynchronous call
        VideoSynthesisResult task = vs.asyncCall(param);
        System.out.println(JsonUtils.toJson(task));
        System.out.println("please wait...");

        // Obtain the analysis results
        // apiKey is already configured in environment variables, so it can be set to null here
        VideoSynthesisResult result = vs.wait(task, null);
        System.out.println(JsonUtils.toJson(result));
    }

    public static void main(String[] args) {
        try {
            image2video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Sample response

1. Create task

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

2. Query task status

The video_url is valid for 24 hours. Please download the video promptly.

{
    "request_id": "3d740fc4-a968-9c36-b0e7-xxxxxxxx",
    "output": {
        "task_id": "34dcf4b0-ed84-441e-91cb-xxxxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-hz.oss-cn-hangzhou.aliyuncs.com/xxx.mp4?xxxxxx"
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Error codes

If the call failed and returned an error message, see Error messages.

Specific status codes for this API:

HTTP status code	code	message	Description
400	InvalidParameter	InvalidParameter	The request parameter is invalid.
400	IPInfringementSuspect	Input data is suspected of being involved in IP infringement.	The input data (such as prompts or images) may involve intellectual property infringement. Check your input to ensure it does not contain such content.
400	DataInspectionFailed	Input data may contain inappropriate content.	The input data (such as prompts or images) may contain sensitive content. Change your input and try again.
500	InternalError	InternalError	A service error occurs. Try again first to rule out occasional issues.

Billing and rate limiting

Free quota

Overview: Free quota refers to the duration of successfully generated output videos. Abnormal input content and model processing failures do not consume the free quota.
How to claim: You automatically get it after activating Model Studio, valid for 180 days.
Account usage: Alibaba Cloud account and its RAM users share the free quota.
Learn more about New user free quota.

Billing description

When a model has a clear unit price, such as $0.2/second, it has been commercialized. After the free quota is exhausted or expired, you need to pay for usage.
Billing item: Only successfully generated videos are charged. Other situations are not charged.
Payment method: All payments are made by the Alibaba Cloud account. RAM users cannot pay independently. To check your bills, go to Billing Overview.
Recharge: You can recharge on the Expenses and Cost page.
Usage statistics: You can check model usage and call counts on the Model Observation page.
Learn more about Billable items.

Rate limiting

Overview: Alibaba Cloud account and its RAM users share the limits.

Video access

Domain whitelist: Ensure your system can access video links

Generated videos are stored in OSS, and each video is assigned an OSS link, such as https://dashscope-result-xx.oss-cn-xxxx.aliyuncs.com/xxx.mp4. OSS links allow public access. You can use this link to download the video. The link is valid for only 24 hours.

If your business has high security requirements and cannot access OSS links, you need to configure a separate whitelist for external network access Add the following domains to your whitelist to access video links.

# OSS domain list
dashscope-result-bj.oss-cn-beijing.aliyuncs.com
dashscope-result-hz.oss-cn-hangzhou.aliyuncs.com
dashscope-result-sh.oss-cn-shanghai.aliyuncs.com
dashscope-result-wlcb.oss-cn-wulanchabu.aliyuncs.com
dashscope-result-zjk.oss-cn-zhangjiakou.aliyuncs.com
dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com
dashscope-result-hy.oss-cn-heyuan.aliyuncs.com
dashscope-result-cd.oss-cn-chengdu.aliyuncs.com
dashscope-result-gz.oss-cn-guangzhou.aliyuncs.com
dashscope-result-wlcb-acdr-1.oss-cn-wulanchabu-acdr-1.aliyuncs.com

FAQ

Does the plus model support outputting 480P videos?

No, it does not. To generate videos with 480P resolution, use wan2.1-i2v-turbo and specify the specific level (such as 480P) in the resolution parameter.

The video resolution levels supported by the models are:

wan2.1-i2v-turbo: 480P, 720P.
wan2.1-i2v-plus: 720P.

Model overview

Prerequisites

HTTP

Step 1: Create task

Request parameters

Image-to-video

Headers

Request body

Response parameters

Successful response

Error response

Step 2: Query results by task ID

Request parameters

Query task results

Headers

Path parameters

Response parameters

Task succeeded

Task failed

Dashscope SDK

Python SDK

Synchronous calling

Sample request

Sample response

Asynchronous calling

Sample request

Sample response

Java SDK

Synchronous calling

Sample request

Sample response

Asynchronous calling

Sample request

Sample response

Error codes

Billing and rate limiting

Video access

Domain whitelist: Ensure your system can access video links

FAQ

Does the plus model support outputting 480P videos?