Sora 2 FAQ (archived)

# Portrait video
model = "sora_video2"

# Landscape video
model = "sora_video2-landscape"

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

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

prompt = "@sama talking happily on the Great Wall"  # ✓ OK

# ✗ Not OK - Uploading real person photos will be rejected
# Uploaded a real person photo + prompt

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  # Enable streaming output
)

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"Service busy, retrying in 30 seconds...")
            time.sleep(30)
        else:
            raise

stream = client.chat.completions.create(
    model="sora_video2",
    messages=[...],
    stream=True  # Enable streaming output
)

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

> ⌛️ Task is in queue, please wait patiently...

> 🏃 Progress: 36.0%

> 🏃 Progress: 68.5%

> ✅ Video generated successfully, [click here](https://xxx.mp4) to view video~~~

import httpx
import openai

# Set 5 minute timeout
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):
    """Download video to local"""
    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"Saved: {save_path}")

# Download immediately after generation
video_url = extract_video_url(result)
download_video(video_url, "my_video.mp4")

import re

def extract_video_url(content):
    """Extract video link from response content"""
    match = re.search(r'https://[^\s\)]+\.mp4', content)
    return match.group(0) if match else None

# Usage example
response = client.chat.completions.create(...)
content = response.choices[0].message.content
video_url = extract_video_url(content)

https://example.com/sora/video.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)