Alibaba Cloud Model Studio:Texto a video

SDK de Python

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

# The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
# The API key varies by region. For more information about how to obtain an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key
api_key = os.getenv("DASHSCOPE_API_KEY", "YOUR_API_KEY")

print('please wait...')
rsp = VideoSynthesis.call(api_key=api_key,
                          model='wan3.0-video',
                          prompt='Shot 1: Opening with a long shot. The camera starts from a low angle close to the ground and moves forward across the grassland. At the same time, the camera moves upward, gradually raising the point of view from ground level to a slightly elevated position. A cheetah enters the frame from the left, on the same chase path as a fleeing antelope in front of it, establishing a clear foreground-background spatial relationship. Shot 2: The camera moves downward, returning to a position close to the ground, and pans right to follow the cheetah\'s movement, steadily tracking it from a parallel side view. The subject remains consistently positioned slightly to the left of the frame\'s center, creating a continuous lateral movement effect in the background. The camera movement stays stable for a while to enhance the sense of speed and spatial continuity. Shot 3: While maintaining the rightward movement, the camera moves in a slight arc along the inside of the cheetah\'s path. This creates a subtle circling effect in the shot, but the camera always moves in the same direction as the subject. Shot 4: Gradually slow down the lateral movement and transition to a relatively stable camera position. At the same time, execute a zoom-in, progressively narrowing the visual focus onto the shrinking distance between the cheetah and the antelope. Shot 5: The camera moves forward again and slightly downward, closing in on the space between the two animals near the ground. It holds the shot at the critical moment when the cheetah\'s forelimbs are about to reach the antelope\'s rear, creating intense pressure and tension. This is accompanied by a crescendoing symphonic score, an increasingly intense drumbeat, and the sounds of wind and footsteps to drive the rhythm. In the final moments, the music volume drops, leaving only ambient and rhythmic sounds for a brief pause.',
                          resolution="720P",
                          ratio="16:9",
                          duration=15,
                          watermark=True)
print(rsp)
if rsp.status_code == HTTPStatus.OK:
    print("video_url:", rsp.output.video_url)
else:
    print('Failed, status_code: %s, code: %s, message: %s' % (rsp.status_code, rsp.code, rsp.message))

SDK de Java

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 Text2Video {

    static {
        // The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey="sk-xxx"
    // API keys vary by region. To obtain an API key, visit: https://www.alibabacloud.com/help/model-studio/get-api-key
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void text2video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan3.0-video")
                        .prompt("Shot 1: Open with a long shot. The camera starts at a low angle near the ground, dollying forward across the grassland while simultaneously craning up. The perspective lifts from ground level to a slightly elevated position, allowing a cheetah to enter the frame from the left, on the same chase path as a fleeing antelope ahead, establishing a clear spatial depth. Shot 2: The camera moves down to near ground level and tracks right, following the cheetah's movement. It maintains a stable, parallel tracking shot. The subject remains just left of the frame's center, creating a continuous lateral movement in the background. The camera motion stays steady for a period to enhance the sense of speed and spatial continuity. Shot 3: While maintaining the rightward track, the camera executes a slight arc along the inner side of the cheetah's path. This creates a subtle orbiting effect in the shot, while the camera continues to point in the same direction as the subject. Shot 4: Gradually slow the lateral movement, transitioning to a relatively stable camera position. Simultaneously, execute a zoom-in, progressively narrowing the visual focus onto the shrinking distance between the cheetah and the antelope. Shot 5: The camera moves forward and slightly downward again, staying close to the ground to close in on the space between the two. It stops at the critical moment just as the cheetah's forelimbs are about to reach the antelope's rear, creating intense pressure and tension. This is accompanied by a gradually intensifying orchestral score, increasingly dense drumbeats, and the sounds of wind and footsteps to drive the rhythm. In the final stage, the music volume is lowered, leaving only ambient and rhythmic sounds for a brief pause.")
                        .duration(15)
                        .resolution("720P")
                        .ratio("16:9")
                        .watermark(true)
                        .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);
    }
}

curl

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.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": "wan3.0-video",
    "input": {
        "prompt": "Shot 1: An extreme long shot opens the scene. The camera starts from a low angle near the ground and moves forward across the grassland. It simultaneously tilts up, raising the perspective from ground level to a slightly higher position. This brings a cheetah into the frame from the left, placing it on the same chase path as a fleeing antelope ahead and establishing a clear spatial relationship. Shot 2: The camera moves down, returning to near ground level, and tracks right along the cheetahs path of motion. It maintains a stable, parallel side-on follow shot, keeping the subject in the left-center of the frame as the background scrolls horizontally. The camera movement remains steady for a period to enhance the sense of speed and spatial continuity. Shot 3: While continuing to track right, the camera makes a slight arc along the inner side of the cheetahs path, creating a subtle orbiting effect while always moving in the same direction as the subject. Shot 4: The camera gradually slows its horizontal movement and transitions to a relatively stable position while zooming in. This progressively compresses the visual focus onto the shrinking distance between the cheetah and the antelope. Shot 5: The camera moves forward again and slightly down, closing in on the space between them near the ground. It stops at the critical moment when the cheetahs forelimbs are about to reach the antelopes rear, creating intense pressure and tension. This is accompanied by a crescendo of symphonic music, an accelerating drumbeat, and the sounds of wind and paws hitting the ground to drive the rhythm. In the final stage, the music fades, leaving only ambient sounds and the rhythmic beat for a brief pause."
    },
    "parameters": {
        "resolution": "720P",
        "ratio": "16:9",
        "watermark": true,
        "duration": 15
    }
}'

Reemplace {task_id} con el valor task_id devuelto por la llamada a la API anterior. El task_id es válido para consultas durante 24 horas. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.

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

Global

Si selecciona el ámbito de implementación Global, los recursos de cómputo para inferencia del modelo se programan dinámicamente a nivel mundial. Los datos estáticos se almacenan en la región seleccionada. Regiones compatibles: EE. UU. (Virginia), Germany (Frankfurt), China (Hong Kong).

International

Si selecciona el ámbito de implementación International, los recursos de cómputo para inferencia del modelo se programan dinámicamente a nivel mundial, excluyendo China continental. Los datos estáticos se almacenan en la región seleccionada. Región compatible: Singapore.

China continental

Si selecciona el ámbito de implementación de China continental, los recursos de cómputo para inferencia del modelo están restringidos a China continental. Los datos estáticos se almacenan en la región seleccionada. Región compatible: China (Beijing).

SDK de Python

Asegúrese de que su DashScope SDK para Python sea versión 1.25.16 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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

# The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'

# If you have not configured environment variables, replace the following line with api_key="sk-xxx". Use your Model Studio API key.
# The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
api_key = os.getenv("DASHSCOPE_API_KEY")

def sample_async_call_t2v():
    # Asynchronous invocation that returns a task_id.
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model='wan3.0-video',
                                    prompt='A vision of harmony between future technology and nature. Shot 1 [0-2s]: Wide shot of an aerial garden in a futuristic city, floating plants swaying gently in the breeze. Shot 2 [2-4s]: A robot gardener carefully trims plants with precise, graceful movements. Shot 3 [4-7s]: Sunlight streams through a transparent dome, illuminating the entire garden and showcasing the perfect fusion of technology and nature. Shot 4 [7-10s]: The camera pulls back to reveal the grand scale of the entire futuristic city, with the aerial garden as just one part of it.',
                                    resolution='720P',
                                    ratio='16:9',
                                    duration=10,
                                    watermark=True,
                                    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))

    # Wait for the 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_t2v()

SDK de Java

Asegúrese de que su DashScope SDK para Java sea versión 2.22.14 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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 Text2Video {
    static {
        // The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with apiKey="sk-xxx". Use your Model Studio API key.
    // The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void text2video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
       VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan3.0-video")
                        .prompt("A vision of harmony between future technology and nature. Shot 1 [0-2s]: Wide shot of an aerial garden in a futuristic city, floating plants swaying gently in the breeze. Shot 2 [2-4s]: A robot gardener carefully trims plants with precise, graceful movements. Shot 3 [4-7s]: Sunlight streams through a transparent dome, illuminating the entire garden and showcasing the perfect fusion of technology and nature. Shot 4 [7-10s]: The camera pulls back to reveal the grand scale of the entire futuristic city, with the aerial garden as just one part of it.")
                        .resolution("720P")
                        .ratio("16:9")
                        .duration(10)
                        .watermark(true)
                        .seed(12345)
                        .build();
        // Asynchronous invocation
        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));
    }

    public static void main(String[] args) {
        try {
            text2video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

curl

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.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": "wan3.0-video",
    "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/%E7%8B%90%E7%8B%B8.mp3"
    },
    "parameters": {
        "resolution": "720P",
        "ratio": "16:9",
        "duration": 10
    }
}'

Reemplace {task_id} con el valor task_id devuelto por la llamada a la API anterior. El task_id es válido para consultas durante 24 horas. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.

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

SDK de Python

Asegúrese de que su DashScope SDK para Python sea versión 1.25.16 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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

# The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'

# If you have not configured environment variables, replace the following line with api_key="sk-xxx". Use your Model Studio API key.
# The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
api_key = os.getenv("DASHSCOPE_API_KEY")

def sample_async_call_t2v():
    # Asynchronous invocation that returns a task_id.
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model='wan3.0-video',
                                    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/%E7%8B%90%E7%8B%B8.mp3',
                                    resolution='720P',
                                    ratio='16:9',
                                    duration=10,
                                    watermark=True,
                                    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))

    # Wait for the 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_t2v()

SDK de Java

Asegúrese de que su DashScope SDK para Java sea versión 2.22.14 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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 Text2Video {
    static {
        // The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with apiKey="sk-xxx". Use your Model Studio API key.
    // The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void text2video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
       VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan3.0-video")
                        .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/%E7%8B%90%E7%8B%B8.mp3")
                        .resolution("720P")
                        .ratio("16:9")
                        .duration(10)
                        .watermark(true)
                        .seed(12345)
                        .build();
        // Asynchronous invocation
        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));
    }

    public static void main(String[] args) {
        try {
            text2video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

curl

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.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": "wan3.0-video",
    "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/%E7%8B%90%E7%8B%B8.mp3"
    },
    "parameters": {
        "resolution": "720P",
        "ratio": "16:9",
        "watermark": true,
        "duration": 10
    }
}'

Reemplace {task_id} con el valor task_id devuelto por la llamada a la API anterior. El task_id es válido para consultas durante 24 horas. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.

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

SDK de Python

Asegúrese de que su DashScope SDK para Python sea versión 1.25.16 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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

# The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'

# If you have not configured environment variables, replace the following line with api_key="sk-xxx". Use your Model Studio API key.
# The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
api_key = os.getenv("DASHSCOPE_API_KEY")

def sample_async_call_t2v():
    # Asynchronous invocation that returns a task_id.
    rsp = VideoSynthesis.async_call(api_key=api_key,
                                    model='wan2.2-t2v-plus',
                                    prompt='Rim light, low contrast, medium close-up, daylight, left-heavy composition, clean single-person shot, warm tones, soft light, sunny day light, side light, daytime. A young girl sits in a field of tall grass with two fluffy donkeys standing behind her. The girl, about eleven or twelve, wears a simple floral dress, her hair in two braids, and has an innocent smile. She sits cross-legged, gently touching the wildflowers beside her. The donkeys are sturdy, their ears pricked up, curiously looking toward the camera. Sunlight bathes the field, creating a warm and natural scene.',
                                              size='832*480',
                                    watermark=True,
                                    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))

    # Wait for the 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_t2v()

SDK de Java

Asegúrese de que su DashScope SDK para Java sea versión 2.22.14 o posterior. Para actualizar el SDK, consulte Instalar el SDK .

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 Text2Video {
    static {
        // The following URL is for the Singapore region. URLs differ by region. To obtain the URL for your region, visit: https://www.alibabacloud.com/help/model-studio/text-to-video-api-reference
        Constants.baseHttpApiUrl = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    // If you have not configured environment variables, replace the following line with apiKey="sk-xxx". Use your Model Studio API key.
    // The API key varies by region. For more information about how to get an API key, see https://www.alibabacloud.com/help/model-studio/get-api-key.
    static String apiKey = System.getenv("DASHSCOPE_API_KEY");

    public static void text2video() throws ApiException, NoApiKeyException, InputRequiredException {
        VideoSynthesis vs = new VideoSynthesis();
        VideoSynthesisParam param =
                VideoSynthesisParam.builder()
                        .apiKey(apiKey)
                        .model("wan2.2-t2v-plus")
                        .prompt("Rim light, low contrast, medium close-up, daylight, left-heavy composition, clean single-person shot, warm tones, soft light, sunny day light, side light, daytime. A young girl sits in a field of tall grass with two fluffy donkeys standing behind her. The girl, about eleven or twelve, wears a simple floral dress, her hair in two braids, and has an innocent smile. She sits cross-legged, gently touching the wildflowers beside her. The donkeys are sturdy, their ears pricked up, curiously looking toward the camera. Sunlight bathes the field, creating a warm and natural scene.")
                        .size("832*480")
                        .watermark(true)
                        .seed(12345)
                        .build();
        // Asynchronous invocation
        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));
    }

    public static void main(String[] args) {
        try {
            text2video();
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

curl

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.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": "Rim light, low contrast, medium close-up, daylight, left-heavy composition, clean single-person shot, warm tones, soft light, sunny day light, side light, daytime. A young girl sits in a field of tall grass with two fluffy donkeys standing behind her. The girl, about eleven or twelve, wears a simple floral dress, her hair in two braids, and has an innocent smile. She sits cross-legged, gently touching the wildflowers beside her. The donkeys are sturdy, their ears pricked up, curiously looking toward the camera. Sunlight bathes the field, creating a warm and natural scene."
    },
    "parameters": {
        "size": "832*480",
        "watermark": true
    }
}'

Reemplace {task_id} con el valor task_id devuelto por la llamada a la API anterior. El task_id es válido para consultas durante 24 horas. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.

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