Seedance 使用教程

pip install --upgrade openai

from openai import OpenAI

client = OpenAI(
    base_url="https://your-domain.com/v1",
    api_key="sk-xxx",  # 替换为你在 AiSDK 中申请的 Key
)

import time

# 1. 提交任务
task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "prompt": "一位穿红色连衣裙的女孩在海边奔跑，夕阳西下，电影感画面 --resolution 1080p --duration 5",
    },
    cast_to=object,
)
task_id = task["id"]
print("task_id:", task_id)

# 2. 轮询任务状态
while True:
    result = client.get(f"/video/generations/{task_id}", cast_to=object)
    status = result["status"]
    if status == "succeeded":
        print("video url:", result["content"][0]["video_url"]["url"])
        break
    if status == "failed":
        raise RuntimeError(result.get("error"))
    time.sleep(3)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {"type": "text", "text": "女孩缓慢转头微笑，镜头轻微推近 --resolution 1080p --duration 5"},
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/portrait.jpg"}},
        ],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {
                "type": "text",
                "text": (
                    "参考 @图片1 中的女孩、@图片2 的宿舍场景、@视频1 的运镜，"
                    "生成女孩推门进入宿舍并与舍友对话的画面。"
                    "背景音乐参考 @音频1。 --resolution 1080p --duration 10"
                ),
            },
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/girl.jpg"}},
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/dorm.jpg"}},
            {"type": "video_url", "video_url": {"url": "https://your-cdn.com/camera-ref.mp4"}},
            {"type": "audio_url", "audio_url": {"url": "https://your-cdn.com/bgm.mp3"}},
        ],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {
                "type": "text",
                "text": "严格编辑 视频1，将其中女孩手里的香水替换为 图片1 中的面霜，动作和运镜保持不变。",
            },
            {"type": "video_url", "video_url": {"url": "https://your-cdn.com/source.mp4"}},
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/cream.jpg"}},
        ],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {
                "type": "text",
                "text": "向后延长 视频1，五个人终于全部到齐，围坐在桌边热烈聊天。 --duration 5",
            },
            {"type": "video_url", "video_url": {"url": "https://your-cdn.com/part1.mp4"}},
        ],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "prompt": "延时摄影：城市夜景车流光轨，从傍晚过渡到深夜 --resolution 4k --duration 5",
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "prompt": "根据最近发布的新品手机外观，生成一段产品旋转展示视频",
        "tools": [{"type": "web_search"}],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {
                "type": "text",
                "text": "让 图片1 中的数字人正对镜头，按 音频1 的内容自然口播，表情自然，中景。",
            },
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/avatar.jpg"}},
            {"type": "audio_url", "audio_url": {"url": "https://your-cdn.com/script.mp3"}},
        ],
    },
    cast_to=object,
)

task = client.post(
    "/video/generations",
    body={
        "model": "seedance-2.0-pro",
        "content": [
            {"type": "text", "text": "让 图片1 中的人物在演播厅内进行产品介绍口播。"},
            {"type": "image_url", "image_url": {"url": "https://your-cdn.com/authorized-person.jpg"}},
        ],
        "extra_body": {
            "portrait_authorized": True,
            "authorization_id": "your-authorization-id",
        },
    },
    cast_to=object,
)

# 查询任务
result = client.get(f"/video/generations/{task_id}", cast_to=object)

# 取消任务（仅在 queued / running 状态可取消）
client.delete(f"/video/generations/{task_id}", cast_to=object)