视频生成接口

curl -X POST https://aihubmix.com/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sora-2",
    "prompt": "A cinematic drone shot soaring over a misty mountain range at sunrise, golden light filtering through the clouds",
    "seconds": "8",
    "size": "1280x720"
  }'

curl -X POST https://aihubmix.com/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-generate-preview",
    "prompt": "一个宁静的日式庭院，樱花花瓣缓缓飘落，锦鲤在池塘中游动，背景传来悠扬的风铃声",
    "seconds": "8",
    "size": "1280x720"
  }'

curl -X POST https://aihubmix.com/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan2.6-t2v",
    "prompt": "一条蜿蜒的小溪穿过秋天的森林，金黄色的落叶飘落在水面上，阳光透过树叶洒下斑驳的光影",
    "seconds": "5",
    "size": "1920x1080"
  }'

curl -X POST https://aihubmix.com/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "jimeng-3.0-pro",
    "prompt": "一位身穿汉服的少女在竹林间翩翩起舞，长裙随风飘动，背景是淡淡的晨雾",
    "seconds": "5",
    "size": "16:9"
  }'

curl https://aihubmix.com/v1/videos \
  -H "Authorization: Bearer $AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kling-v1-6",
    "prompt": "一只橘猫在阳光下的草地上奔跑",
    "mode": "std",
    "duration": "5"
  }'

import requests
import time

API_KEY = "AIHUBMIX_API_KEY"
BASE_URL = "https://aihubmix.com"
HEADERS = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# 第一步：创建视频生成任务
response = requests.post(
    f"{BASE_URL}/v1/videos",
    headers=HEADERS,
    json={
        "model": "wan2.6-t2v",
        "prompt": "一片星空下的沙漠，流星划过夜空，远处篝火的光芒在微风中摇曳",
        "seconds": "5",
        "size": "1920x1080"
    }
)
result = response.json()
video_id = result["id"]
print(f"任务已创建，video_id: {video_id}")

# 第二步：轮询查询状态
while True:
    status_response = requests.get(
        f"{BASE_URL}/v1/videos/{video_id}",
        headers=HEADERS
    )
    status_data = status_response.json()
    current_status = status_data["status"]
    print(f"当前状态: {current_status}")

    if current_status == "completed":
        print("视频生成完成！")
        break
    elif current_status == "failed":
        error_msg = status_data.get("error", {})
        if isinstance(error_msg, dict):
            error_msg = error_msg.get("message", "未知错误")
        print(f"生成失败: {error_msg}")
        break

    time.sleep(15)  # 每 15 秒查询一次

# 第三步：下载视频
video_response = requests.get(
    f"{BASE_URL}/v1/videos/{video_id}/content",
    headers=HEADERS
)
with open("output.mp4", "wb") as f:
    f.write(video_response.content)
print(f"视频已保存为 output.mp4（{len(video_response.content) / 1024 / 1024:.1f} MB）")