Alibaba Cloud Model Studio:Imagem para vídeo: primeiro e último quadros

import os
from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope

# The following URL is for the Singapore region. When calling, replace {WorkspaceId} with your actual workspace ID. URLs vary by region. Get your URL: https://www.alibabacloud.com/help/en/model-studio/image-to-video-by-first-and-last-frame-api-reference
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
# API keys differ by region. Get your API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY", "YOUR_API_KEY")

def sample_async_call_kf2v():
    # Asynchronous call returns a task_id
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model="wan2.2-kf2v-flash",
                                    prompt="Realistic style. A curious black kitten looks up at the sky. The camera starts at eye level and gradually rises until it captures the kitten’s curious gaze from above.",
                                    first_frame_url="https://wanx.alicdn.com/material/20250318/first_frame.png",
                                    last_frame_url="https://wanx.alicdn.com/material/20250318/last_frame.png",
                                    duration=5,  # Fixed at 5 seconds. Do not change.
                                    prompt_extend=True,
                                    watermark=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))

    # Wait for asynchronous task to complete
    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()

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;

public class Image2Video {

    static {
        // The following URL is for the Singapore region. When calling, replace {WorkspaceId} with your actual workspace ID. URLs vary by region. Get your URL: https://www.alibabacloud.com/help/en/model-studio/image-to-video-by-first-and-last-frame-api-reference
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    // If you have not set an environment variable, replace the line below with: apiKey="sk-xxx"
    // API keys differ by region. Get your API key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void image2video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.2-kf2v-flash")
                        .prompt("Realistic style. A curious black kitten looks up at the sky. The camera starts at eye level and gradually rises until it captures the kitten’s curious gaze from above.")
                        .firstFrameUrl("https://wanx.alicdn.com/material/20250318/first_frame.png")
                        .lastFrameUrl("https://wanx.alicdn.com/material/20250318/last_frame.png")
                        .resolution("720P")
                        .promptExtend(true)
                        .watermark(true)
                        .build();
        // Asynchronous call
        VideoSynthesisResult task = vs.asyncCall(param);
        System.out.println(JsonUtils.toJson(task));
        System.out.println("please wait...");

        // Get result
        VideoSynthesisResult result = vs.wait(task, apiKey);
        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);
    }
}

Etapa 1: Crie uma tarefa para obter o ID da tarefa

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/image2video/video-synthesis' \
    -H 'X-DashScope-Async: enable' \
    -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
    -H 'Content-Type: application/json' \
    -d '{
    "model": "wan2.2-kf2v-flash",
    "input": {
        "first_frame_url": "https://wanx.alicdn.com/material/20250318/first_frame.png",
        "last_frame_url": "https://wanx.alicdn.com/material/20250318/last_frame.png",
        "prompt": "Realistic style. A curious black kitten looks up at the sky. The camera starts at eye level and gradually rises until it captures the kitten’s curious gaze from above."
    },
    "parameters": {
        "resolution": "720P",
        "prompt_extend": true,
        "watermark": true
    }
}'

Etapa 2: Obtenha o resultado usando o ID da tarefa

curl -X GET https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/tasks/{task_id} \
--header "Authorization: Bearer $DASHSCOPE_API_KEY"