:Wan - image-to-video - first and last frames API reference

Request example

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 the DashScope API key (Model Studio API key) from the environment variable
api_key = os.getenv("DASHSCOPE_API_KEY")

# ========== Image input method (choose one) ==========
# [Method 1] Use a public image URL
first_frame_url = "https://wanx.alicdn.com/material/20250318/first_frame.png"
last_frame_url = "https://wanx.alicdn.com/material/20250318/last_frame.png"

# [Method 2] Use a local file path (file:// + file path)
# Use an absolute path
# first_frame_url = "file://" + "/path/to/your/first_frame.png"  # Linux/macOS
# last_frame_url = "file://" + "C:/path/to/your/last_frame.png"  # Windows
# Or use a relative path
# first_frame_url = "file://" + "./first_frame.png"              # Use your actual path
# last_frame_url = "file://" + "./last_frame.png"                # Use your actual path

def sample_sync_call_kf2v():
    print('please wait...')
    rsp = VideoSynthesis.call(api_key=api_key,
                              model="wan2.2-kf2v-flash",
                              prompt="Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.",
                              first_frame_url=first_frame_url,
                              last_frame_url=last_frame_url,
                              resolution="720P",
                              prompt_extend=True)
    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_kf2v()

Response example

The video_url is valid for 24 hours. Download promptly.

{
    "status_code": 200,
    "request_id": "a37fafc3-907c-96f3-95a6-5b2a8268a3fd",
    "code": null,
    "message": "",
    "output": {
        "task_id": "4dba0092-da13-42b2-afb1-0f7b8a0f4643",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-wlcb-acdr-1.oss-cn-wulanchabu-acdr-1.aliyuncs.com/xxx.mp4?xxxxx",
        "submit_time": "2025-05-23 15:50:12.404",
        "scheduled_time": "2025-05-23 15:50:12.443",
        "end_time": "2025-05-23 15:54:56.502",
        "orig_prompt": "Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.",
        "actual_prompt": "Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view. The cat's yellow eyes are bright and expressive, its ears are pricked up, and its whiskers are clearly visible. The background is a simple, light-colored wall, which highlights the cat's black fur and focused expression. A close-up shot emphasizes the change in the cat's gaze and posture."
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Request example

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 the DashScope API key (Model Studio API key) from the environment variable
api_key = os.getenv("DASHSCOPE_API_KEY")

# ========== Image input method (choose one) ==========
# [Method 1] Use a public image URL
first_frame_url = "https://wanx.alicdn.com/material/20250318/first_frame.png"
last_frame_url = "https://wanx.alicdn.com/material/20250318/last_frame.png"

# [Method 2] Use a local file path (file:// + file path)
# Use an absolute path
# first_frame_url = "file://" + "/path/to/your/first_frame.png"  # Linux/macOS
# last_frame_url = "file://" + "C:/path/to/your/last_frame.png"  # Windows
# Or use a relative path
# first_frame_url = "file://" + "./first_frame.png"              # Use your actual path
# last_frame_url = "file://" + "./last_frame.png"                # Use your actual path

def sample_async_call_kf2v():
    print('please wait...')
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model="wan2.2-kf2v-flash",
                                    prompt="Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.",
                                    first_frame_url=first_frame_url,
                                    last_frame_url=last_frame_url,
                                    resolution="720P",
                                    prompt_extend=True)
    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(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 the task complete, will call fetch interval, and check it's in finished status.
    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_kf2v()

Response example

1. Response for creating a task

{
    "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. Response for querying a task result

The video_url is valid for 24 hours. Download promptly.

{
    "status_code": 200,
    "request_id": "efa545b3-f95c-9e3a-a3b6-xxxxxx",
    "code": null,
    "message": "",
    "output": {
        "task_id": "721164c6-8619-4a35-a6d9-xxxxxx",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-sh.oss-cn-shanghai.aliyuncs.com/xxx.mp4?xxxxx",
        "submit_time": "2025-02-12 11:03:30.701",
        "scheduled_time": "2025-02-12 11:06:05.378",
        "end_time": "2025-02-12 11:12:18.853",
        "orig_prompt": "Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.",
        "actual_prompt": "Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view. The cat's fur is jet black and shiny, its eyes are large and bright with golden pupils. It looks up with its ears pricked, appearing exceptionally focused. After the camera moves up, the cat turns to look directly at the camera, its eyes full of curiosity and alertness. The background is simple, highlighting the cat's detailed features. A close-up shot with soft, natural light."
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Request example

// 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 Kf2vSyncIntl {

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

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

    /**
     * Image input method (choose one):
     *
     * [Method 1] Public URL
     */
    static String firstFrameUrl = "https://wanx.alicdn.com/material/20250318/first_frame.png";
    static String lastFrameUrl = "https://wanx.alicdn.com/material/20250318/last_frame.png";

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

    public static void syncCall() {

        Map<String, Object> parameters = new HashMap<>();
        parameters.put("prompt_extend", true);
        parameters.put("resolution", "720P");

        VideoSynthesis videoSynthesis = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.2-kf2v-flash")
                        .prompt("Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.")
                        .firstFrameUrl(firstFrameUrl)
                        .lastFrameUrl(lastFrameUrl)
                        .parameters(parameters)
                        .build();
        VideoSynthesisResult result = null;
        try {
            System.out.println("---sync call, please wait a moment----");
            result = videoSynthesis.call(param);
        } catch (ApiException | NoApiKeyException e){
            throw new RuntimeException(e.getMessage());
        } catch (InputRequiredException e) {
            throw new RuntimeException(e);
        }
        System.out.println(JsonUtils.toJson(result));
    }

    public static void main(String[] args) {
        syncCall();
    }
}

Response example

The video_url is valid for 24 hours. Download promptly.

{
    "request_id": "e6bb4517-c073-9c10-b748-dedb8c11bb41",
    "output": {
        "task_id": "984784fe-83c1-4fc4-88c7-52c2c1fa92a2",
        "task_status": "SUCCEEDED",
        "video_url": "https://dashscope-result-wlcb-acdr-1.oss-cn-wulanchabu-acdr-1.aliyuncs.com/xxx.mp4?xxxxx"
    },
    "usage": {
        "video_count": 1,
        "video_duration": 5,
        "video_ratio": "standard"
    }
}

Request example

// 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 Kf2vAsync {

    static {
        Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
    }
    
    // Get DashScope API key (Model Studio API key) from environment variable
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    /**
     * Image input method (choose one)
     *
     * [Method 1] Public URL
     */
    static String firstFrameUrl = "https://wanx.alicdn.com/material/20250318/first_frame.png";
    static String lastFrameUrl = "https://wanx.alicdn.com/material/20250318/last_frame.png";

    /**
     * [Method 2] Local file path (file:// + absolute path or file:/// + absolute path)
     */
    // static String firstFrameUrl = "file://" + "/your/path/to/first_frame.png";   // Linux/macOS
    // static String lastFrameUrl = "file:///" + "C:/path/to/your/img.png";        // Windows
    
    public static void asyncCall(){

        // Set parameters
        Map<String, Object> parameters = new HashMap<>();
        parameters.put("prompt_extend", true);
        parameters.put("resolution", "720P");

        VideoSynthesis videoSynthesis = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.2-kf2v-flash")
                        .prompt("Realistic style, a small black cat looks up at the sky curiously, the camera gradually rises from eye level, and finally captures its curious gaze from a top-down view.")
                        .firstFrameUrl(firstFrameUrl)
                        .lastFrameUrl(lastFrameUrl)
                        .parameters(parameters)
                        .build();
        VideoSynthesisResult result = null;
        try {
            System.out.println("---async call, please wait a moment----");
            result = videoSynthesis.asyncCall(param);
        } catch (ApiException | NoApiKeyException e){
            throw new RuntimeException(e.getMessage());
        } catch (InputRequiredException e) {
            throw new RuntimeException(e);
        }
        System.out.println(JsonUtils.toJson(result));

        String taskId = result.getOutput().getTaskId();

        System.out.println("taskId=" + taskId);

        try {
            result = videoSynthesis.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){
        asyncCall();
    }
}

Response example

1. Response for creating a task

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

2. Response for querying a task result

The video_url is valid for 24 hours. Download promptly.

{
    "request_id": "1625235c-c13e-93ec-aff7-xxxxxxxx",
    "output": {
        "task_id": "464a5e46-79a6-46fd-9823-xxxxxxxx",
        "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"
    }
}