常见问题

# 竖屏视频
model = "sora_video2"

# 横屏视频
model = "sora_video2-landscape"

https://api.laozhang.ai/v1/chat/completions

https://api.laozhang.ai/v1/chat/completions?watermark=true

prompt = "@sama 在长城上开心地说话"  # ✓ 可以

# ✗ 不可以 - 上传真人照片会被拒绝
# 上传了一张真人照片 + 提示词

import httpx

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.laozhang.ai/v1",
    http_client=httpx.Client(timeout=300.0)
)

response = client.chat.completions.create(
    model="sora_video2",
    messages=[...],
    stream=True  # 启用流式输出
)

import time

max_retries = 3
for i in range(max_retries):
    try:
        response = client.chat.completions.create(...)
        break
    except Exception as e:
        if "heavy load" in str(e) and i < max_retries - 1:
            print(f"服务繁忙，{30}秒后重试...")
            time.sleep(30)
        else:
            raise

stream = client.chat.completions.create(
    model="sora_video2",
    messages=[...],
    stream=True  # 启用流式输出
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end='', flush=True)

> ⌛️ 任务正在队列中，请耐心等待...

> 🏃 进度：36.0%

> 🏃 进度：68.5%

> ✅ 视频生成成功，[点击这里](https://xxx.mp4) 查看视频~~~

import httpx
import openai

# 设置 5 分钟超时
client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.laozhang.ai/v1",
    http_client=httpx.Client(timeout=300.0)
)

{
    "type": "image_url",
    "image_url": {
        "url": "https://example.com/image.png"
    }
}

{
    "type": "image_url",
    "image_url": {
        "url": "data:image/png;base64,iVBORw0KG..."
    }
}

import requests

def download_video(url, save_path):
    """下载视频到本地"""
    response = requests.get(url, stream=True)
    with open(save_path, 'wb') as f:
        for chunk in response.iter_content(chunk_size=8192):
            f.write(chunk)
    print(f"已保存：{save_path}")

# 生成后立即下载
video_url = extract_video_url(result)
download_video(video_url, "my_video.mp4")

import re

def extract_video_url(content):
    """从响应内容中提取视频链接"""
    match = re.search(r'https://[^\s\)]+\.mp4', content)
    return match.group(0) if match else None

# 使用示例
response = client.chat.completions.create(...)
content = response.choices[0].message.content
video_url = extract_video_url(content)

https://sora.gptkey.asia/assets/sora/xxx.mp4

import requests

response = requests.get(video_url, stream=True)
with open('video.mp4', 'wb') as f:
    for chunk in response.iter_content(chunk_size=8192):
        f.write(chunk)

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.laozhang.ai/v1"
)

async def generate_video(prompt):
    response = await client.chat.completions.create(
        model="sora_video2",
        messages=[{"role": "user", "content": [{"type": "text", "text": prompt}]}]
    )
    return response

# 并发生成（建议 10-30 个）
prompts = ["提示词1", "提示词2", "提示词3", ...]
tasks = [generate_video(p) for p in prompts]
results = await asyncio.gather(*tasks)

{
  "error": {
    "message": "Your request was rejected due to content policy violation",
    "type": "content_violation",
    "code": "content_policy_violation"
  }
}

{
  "error": {
    "message": "We're under heavy load, please try again later",
    "type": "server_error",
    "code": "heavy_load"
  }
}

{
  "error": {
    "message": "Insufficient credits",
    "type": "insufficient_quota",
    "code": "insufficient_credits"
  }
}

try:
    response = client.chat.completions.create(...)
except Exception as e:
    error_message = str(e)
    print(f"生成失败：{error_message}")

    # 根据错误类型处理
    if "content policy" in error_message:
        print("内容违规，请调整提示词或图片")
    elif "heavy load" in error_message:
        print("服务繁忙，30秒后重试")
        time.sleep(30)
    elif "insufficient" in error_message:
        print("余额不足，请充值")