Using Veo 2 on Google AI Studio

Implementation guide · Veo · Google DeepMind

Serverless

Quick Start

1
Create an account at Google AI Studio and generate an API key.
2
Use the Google AI Studio SDK or REST API to call veo-2.0-generate-001 — see the documentation for request format.

API Portal Documentation

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

veo-2.0-generate-001

Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="veo-2.0-generate-001",
    contents="Hello"
)
print(response.text)

About Google AI Studio

Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

View all models on Google AI Studio →

Pricing on Google AI Studio

Capabilities

VisionMultimodal

About Veo 2

Veo 2 is Google DeepMind's Veo model focused on video understanding and generation. It was released 2024-06-01.

Full model details →

Model Specs

Released2024-06-01