Veo-3.1 Quick Start

Before You Begin

Get API Key

Important: Veo-3.1 models require pay-per-use tokens, not pay-as-you-go tokens. Please select “pay-per-use” type when creating tokens.

Ensure Account Balance

Make sure your account has sufficient balance. Veo-3.1 models charge per request (

0.15-

0.25/request)

Your First Request

Text-to-Video Example

Use cURL to quickly test text-to-video functionality:

curl --location --request POST 'https://api.laozhang.ai/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-YOUR_API_KEY' \
--data-raw '{
    "messages": [{
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "Generate a video of two cats and a dog fighting"
            }
        ]
    }],
    "model": "veo-3.1",
    "stream": true,
    "n": 2
}'

Parameter explanation:

model: Select veo-3.1 series model
stream: Set to true to enable streaming response
n: Number of results to generate, setting to 2 will generate 2 different videos

Image-to-Video Example

Use images as reference to generate videos:

curl --location --request POST 'https://api.laozhang.ai/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-YOUR_API_KEY' \
--data-raw '{
    "messages": [{
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "Generate a smooth transition video based on two images"
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://example.com/start-frame.jpg"
                }
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://example.com/end-frame.jpg"
                }
            }
        ]
    }],
    "model": "veo-3.1-fl",
    "stream": true,
    "n": 2
}'

Python Quick Example

Install OpenAI SDK

pip install openai

Text-to-Video Code

from openai import OpenAI

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

response = client.chat.completions.create(
    model="veo-3.1",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "Generate a video of a cute kitten playing on the grass"
            }
        ]
    }],
    stream=True,
    n=1
)

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

Image-to-Video Code

from openai import OpenAI

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

response = client.chat.completions.create(
    model="veo-3.1-fl",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "Generate smooth transition animation based on images"
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://example.com/image1.jpg"
                }
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://example.com/image2.jpg"
                }
            }
        ]
    }],
    stream=True
)

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

Node.js Quick Example

Install OpenAI SDK

npm install openai

Basic Usage

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-YOUR_API_KEY',
  baseURL: 'https://api.laozhang.ai/v1'
});

async function generateVideo() {
  const stream = await client.chat.completions.create({
    model: 'veo-3.1',
    messages: [{
      role: 'user',
      content: [
        {
          type: 'text',
          text: 'Generate a video of sunset by the sea'
        }
      ]
    }],
    stream: true,
    n: 1
  });

  for await (const chunk of stream) {
    const content = chunk.choices[0]?.delta?.content;
    if (content) {
      process.stdout.write(content);
    }
  }
}

generateVideo().catch(console.error);

Streaming Response Handling

Veo-3.1 supports streaming responses for real-time generation progress and results:

Python
Node.js
cURL

response = client.chat.completions.create(
    model="veo-3.1",
    messages=[...],
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.content:
        content = chunk.choices[0].delta.content
        print(f"Received data: {content}")

Image Format Support

Veo-3.1 supports multiple image input formats:

URL Reference
Base64 Encoding

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

Image Requirements:

Supported formats: JPEG, PNG, WebP
Maximum size: 10MB
Recommended resolution: 1024x1024 or higher
Maximum images: 2 (start frame + end frame)

Common Model Selection

Choose the appropriate model based on your needs:

Quick Testing

Recommended: veo-3.1-fastSuitable for quickly validating ideas, cheap price ($0.15/request)

Standard Quality

Recommended: veo-3.1Balances quality and cost, suitable for most scenarios ($0.25/request)

Image-to-Video

Recommended: veo-3.1-flGenerate videos or transition animations based on images ($0.25/request)

Landscape Video

Recommended: veo-3.1-landscapeProfessional landscape format, suitable for film production ($0.25/request)

Error Handling

from openai import OpenAI, OpenAIError

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

try:
    response = client.chat.completions.create(
        model="veo-3.1",
        messages=[{
            "role": "user",
            "content": [{"type": "text", "text": "Generate video"}]
        }],
        stream=True
    )

    for chunk in response:
        if chunk.choices[0].delta.content:
            print(chunk.choices[0].delta.content)

except OpenAIError as e:
    print(f"API error: {e}")
except Exception as e:
    print(f"Other error: {e}")

Getting Started

Core API

Video Generation APIs

Image Generation APIs

AI Understanding

Veo-3.1 Quick Start

Before You Begin

Your First Request

Text-to-Video Example

Image-to-Video Example

Python Quick Example

Install OpenAI SDK

Text-to-Video Code

Image-to-Video Code

Node.js Quick Example

Install OpenAI SDK

Basic Usage

Streaming Response Handling

Image Format Support

Common Model Selection

Quick Testing

Standard Quality

Image-to-Video

Landscape Video

Error Handling

Complete Examples

View Complete Code Examples

Next Steps

Code Examples

Best Practices

Troubleshooting

Get Help

Technical Support

Telegram Community

Getting Started

Core API

Video Generation APIs

Image Generation APIs

AI Understanding

​Before You Begin

​Your First Request

​Text-to-Video Example

​Image-to-Video Example

​Python Quick Example

​Install OpenAI SDK

​Text-to-Video Code

​Image-to-Video Code

​Node.js Quick Example

​Install OpenAI SDK

​Basic Usage

​Streaming Response Handling

​Image Format Support

​Common Model Selection

Quick Testing

Standard Quality

Image-to-Video

Landscape Video

​Error Handling

​Complete Examples

View Complete Code Examples

​Next Steps

Code Examples

Best Practices

Troubleshooting

​Get Help

Technical Support

Telegram Community

Before You Begin

Your First Request

Text-to-Video Example

Image-to-Video Example

Python Quick Example

Install OpenAI SDK

Text-to-Video Code

Image-to-Video Code

Node.js Quick Example

Install OpenAI SDK

Basic Usage

Streaming Response Handling

Image Format Support

Common Model Selection

Error Handling

Complete Examples

Next Steps

Get Help