AI驱动内容创作

import requests

API_BASE = "https://your-domain.com/api"
API_KEY = "ak-xxxxxxxxxxxxxxxx"

# ── 文生图 ──
resp = requests.post(
    f"{API_BASE}/images/generate",
    headers={"Authorization": f"Bearer {API_KEY}"},
    data={
        "prompt": "一只在森林里的发光水母",
        "size": "16:9",
        "quality": "2k",
    },
    timeout=30,
)
resp.raise_for_status()
task = resp.json()
print(f"任务ID: {task['id']}")

# ── 查询任务 ──
import time
while True:
    r = requests.get(
        f"{API_BASE}/images/task/{task['id']}",
        headers={"Authorization": f"Bearer {API_KEY}"},
        timeout=30,
    )
    r.raise_for_status()
    data = r.json()
    if data["status"] == "completed":
        print(f"图片URL: {data['view_url']}")
        break
    elif data["status"] == "failed":
        print(f"失败 [{data.get('error_code')}]: {data.get('error_message')}")
        break
    time.sleep(2)

import requests, time

API_BASE = "https://your-domain.com/api"
API_KEY = "ak-xxxxxxxxxxxxxxxx"

# ── 方式一：参考生成（支持图片/视频/音频素材）──
resp = requests.post(f"{API_BASE}/videos/reference/generate",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "prompt": "一只猫在草地上奔跑，阳光明媚",
        "duration": 5,              # 1-60 秒，受模型配置限制
        "resolution": "720p",       # 480p / 720p / 1080p
        "aspect_ratio": "16:9"      # 16:9 / 9:16 / 1:1
    })
resp.raise_for_status()

# ── 方式二：首帧生成（需先上传图片，从图片生成视频）──
# 1. 先上传参考图获取临时 URL
with open("reference.jpg", "rb") as f:
    upload_resp = requests.post(f"{API_BASE}/materials/upload-temp",
        headers={"Authorization": f"Bearer {API_KEY}"},
        files={"file": f})
upload_resp.raise_for_status()
temp_url = upload_resp.json()["url"]

# 2. 提交首帧生成任务
resp = requests.post(f"{API_BASE}/videos/first_frame/generate",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "prompt": "让图片中的角色微笑并挥手",
        "duration": 5,
        "resolution": "1080p",
        "aspect_ratio": "16:9",
        "temp_image_urls": [temp_url]  # 数量上限由所选模型配置决定
    })
resp.raise_for_status()

# ── 轮询直到完成（两种方式通用）──
task = resp.json()
print(f"任务ID: {task['task_id']}")
while True:
    r = requests.get(f"{API_BASE}/videos/task/{task['task_id']}",
        headers={"Authorization": f"Bearer {API_KEY}"})
    r.raise_for_status()
    data = r.json()
    if data["status"] == "completed":
        print(f"视频URL: {data['video_url']}")
        video = requests.get(data["video_url"])
        with open("output.mp4", "wb") as f:
            f.write(video.content)
        print("视频已保存到 output.mp4")
        break
    elif data["status"] == "failed":
        print(f"失败 [{data.get('error_code')}]: {data.get('error_message')}")
        break
    print(f"状态: {data['status']}, 等待中...")
    time.sleep(10)

# 文生图
curl -X POST https://your-domain.com/api/images/generate \
  -H "Authorization: Bearer ak-xxxxxxxxxxxxxxxx" \
  -F "prompt=一只猫" \
  -F "size=1:1" \
  -F "quality=2k"

# 视频生成 - 参考生成（纯文本/图片/视频/音频素材）
curl -X POST https://your-domain.com/api/videos/reference/generate \
  -H "Authorization: Bearer ak-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"一只猫在草地上奔跑","duration":5,"resolution":"720p","aspect_ratio":"16:9"}'

# 视频生成 - 首帧生成（需上传图片作为首帧）
curl -X POST https://your-domain.com/api/videos/first_frame/generate \
  -H "Authorization: Bearer ak-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"让图片中的角色微笑挥手","duration":5,"resolution":"1080p","aspect_ratio":"16:9","temp_image_urls":["https://example.com/ref.jpg"]}'

# 查询任务状态
curl https://your-domain.com/api/videos/task/任务ID \
  -H "Authorization: Bearer ak-xxxxxxxxxxxxxxxx"

# 查询图片任务
curl https://your-domain.com/api/images/task/任务ID \
  -H "Authorization: Bearer ak-xxxxxxxxxxxxxxxx"