Руководство по началу работы с API генерации видео на базе ИИ

import requests

response = requests.post(
    "https://api.acedata.cloud/sora/videos",
    headers={
        "Authorization": "Bearer YOUR_API_TOKEN",
        "Content-Type": "application/json",
    },
    json={
        "prompt": "A cat playing in a sunny garden",
        "model": "sora-2",
        "duration": 10,
        "orientation": "landscape",
    },
)
print(response.json())

response = requests.post(
    "https://api.acedata.cloud/kling/videos",
    headers={
        "Authorization": "Bearer YOUR_API_TOKEN",
        "Content-Type": "application/json",
    },
    json={
        "action": "text2video",
        "prompt": "A white cat walking in the snow",
        "model": "kling-v2-5-turbo",
        "duration": 5,
        "aspect_ratio": "16:9",
    },
)
print(response.json())

response = requests.post(
    "https://api.acedata.cloud/veo/videos",
    headers={
        "Authorization": "Bearer YOUR_API_TOKEN",
        "Content-Type": "application/json",
    },
    json={
        "action": "text2video",
        "prompt": "A coffee mug rotating on a marble counter",
        "model": "veo3",
    },
)
print(response.json())

# Использование callback URL
data = {
    "prompt": "A sunrise over mountains",
    "model": "sora-2",
    "callback_url": "https://your-server.com/webhook",
}

# Или опрос статуса задачи
task_response = requests.post("https://api.acedata.cloud/sora/tasks",
    headers={"Authorization": "Bearer YOUR_API_TOKEN"},
    json={"task_id": "your-task-id"})