提交文生视频任务（wan2.6 及更早版本）
import os
from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'
api_key = os.getenv("DASHSCOPE_API_KEY", "YOUR_API_KEY")
print('please wait...')
rsp = VideoSynthesis.call(api_key=api_key,
model='wan2.6-t2v',
prompt='A thrilling detective chase story with cinematic storytelling. Shot 1 [0–3 s]: Wide shot of a rainy New York street at night, neon lights flickering, a detective in a black trench coat walking briskly. Shot 2 [3–6 s]: Medium shot of the detective entering an old building, rain soaking his coat, the door closing slowly behind him. Shot 3 [6–9 s]: Close-up of the detective\'s focused, determined eyes as distant sirens wail and he frowns slightly in thought. Shot 4 [9–12 s]: Medium shot of the detective moving carefully down a dim hallway, his flashlight illuminating the path ahead. Shot 5 [12–15 s]: Close-up of the detective discovering a key clue, his face lighting up with sudden realization.',
size="1280*720",
duration=15,
shot_type="multi",
prompt_extend=True,
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)){
"request_id": "c1209113-8437-424f-a386-xxxxxx",
"output": {
"task_id": "966cebcd-dedc-4962-af88-xxxxxx",
"task_status": "PENDING"
}
}千问云 API Key。详见获取 API Key。
异步任务提交时必须设置为 enable。
模型名称。支持的模型及其能力详见端点描述中的模型列表。
视频生成参数。
显示子属性
输出视频分辨率，格式为 宽*高。可用尺寸因模型而异：
1280*720（720P）、1920*1080（1080P）832*480（480P）、1280*720（720P）、1920*1080（1080P）832*480（480P）、1920*1080（1080P）832*480（480P）、1280*720（720P）1280*720（720P）视频时长（秒）。可用时长因模型而异：
镜头构成模式。设置为 "multi" 可启用多镜头叙事，自动进行镜头切换。仅 wan2.6 系列支持。
启用提示词优化。true（默认）：模型对提示词进行优化以提升生成效果。false：直接使用原始提示词。生成多镜头视频时建议启用。
在生成的视频上添加水印。默认值：true。
描述不希望出现在视频中的内容。
随机数种子，用于结果复现。取值范围：[0, 2147483647]。在相同参数下使用相同种子可获得更一致（但不完全相同）的结果。
import os
from http import HTTPStatus
from dashscope import VideoSynthesis
import dashscope
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'
api_key = os.getenv("DASHSCOPE_API_KEY", "YOUR_API_KEY")
print('please wait...')
rsp = VideoSynthesis.call(api_key=api_key,
model='wan2.6-t2v',
prompt='A thrilling detective chase story with cinematic storytelling. Shot 1 [0–3 s]: Wide shot of a rainy New York street at night, neon lights flickering, a detective in a black trench coat walking briskly. Shot 2 [3–6 s]: Medium shot of the detective entering an old building, rain soaking his coat, the door closing slowly behind him. Shot 3 [6–9 s]: Close-up of the detective\'s focused, determined eyes as distant sirens wail and he frowns slightly in thought. Shot 4 [9–12 s]: Medium shot of the detective moving carefully down a dim hallway, his flashlight illuminating the path ahead. Shot 5 [12–15 s]: Close-up of the detective discovering a key clue, his face lighting up with sudden realization.',
size="1280*720",
duration=15,
shot_type="multi",
prompt_extend=True,
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)){
"request_id": "c1209113-8437-424f-a386-xxxxxx",
"output": {
"task_id": "966cebcd-dedc-4962-af88-xxxxxx",
"task_status": "PENDING"
}
}
