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Apply your skills in Google Cloud console

Build an AI Image Generator app on Vertex AI

Lab 10 годин universal_currency_alt No cost show_chart Початковий
info This lab may incorporate AI tools to support your learning.
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Overview

  • Labs are timed and cannot be paused. The timer starts when you click Start Lab.
  • The included IDE is preconfigured with the gcloud SDK.
  • Use the terminal to execute commands and then click Check my progress to verify your work.

Objective

Generative AI on Vertex AI (also known as genAI or gen AI) gives you access to Google's large generative AI models so you can test, tune, and deploy them for use in your AI-powered applications. In this lab, you will:

  • Connect to Vertex AI (Google Cloud AI platform): Learn how to establish a connection to Google's AI services using the Vertex AI SDK.
  • Use the AI Model: Discover how to use a powerful AI model without building one from scratch.
  • Send text to the AI model: Understand how to provide input for the AI to process.
  • Extract image-based answers from the AI: Learn to handle and interpret the image responses generated by the AI model.
  • Understand the basics of building AI applications: Gain insights into the core concepts of integrating AI into software projects.

Working with Generative AI

After starting the lab, you will get a split pane view consisting of the Code Editor on the left side and the lab instructions on the right side. Follow these steps to interact with the Generative AI APIs using Vertex AI Python SDK.

  1. Click File > New File to open a new file within the Code Editor.
  2. Copy and paste the provided code snippet into your file.
from google import genai from google.genai import types from PIL import Image from google.genai.types import HttpOptions, ModelContent, Part, UserContent from google.cloud import logging as gcp_logging # ------ Below cloud logging code is for Qwiklab's internal use, do not edit/remove it. -------- # Initialize Google Cloud logging gcp_logging_client = gcp_logging.Client() gcp_logging_client.setup_logging() client = genai.Client( vertexai=True, project='{{{ project_0.project_id | "project-id" }}}', location='{{{ project_0.default_region | "REGION" }}}', http_options=HttpOptions(api_version="v1") ) prompt = ( "Create an image of a cricket ground in the heart of Los Angeles", ) response = client.models.generate_content( model="{{{project_0.startup_script.gemini_flash_image_model_id | flash-image-model-id}}}", contents=[prompt], ) for part in response.parts: if part.text is not None: print(part.text) elif part.inline_data is not None: image = part.as_image() image.save("image.jpeg")
  1. Click File > Save, enter GenerateImage.py for the Name field and click Save.
  2. Execute the Python file by clicking the triangle icon on the Code Editor or by invoking the below command inside the terminal within the Code Editor pane. This will generate an image file with name image.jpeg.
/usr/bin/python3 /GenerateImage.py Note: You can ignore any warnings related to Python version dependencies.
  1. Now to view the generated image, Click EXPLORER > image.jpeg

Code Explanation

  • The code snippet is loading an AI model () on Vertex AI.
  • The code calls the generate_content method of the loaded Gemini model.
  • The input to the method is a text prompt.
  • The code uses Gemini's ability to understand the text prompt and use it to build an AI Image.
Note: By default, a SynthID watermark is added to images, but you can disable it by specifying the optional parameter add_watermark=False. You can't use a seed value and watermark at the same time. Learn more about SynthID watermark

Try it yourself! Experiment with different prompts to explore Gemini's capabilities.

Click Check my progress to verify the objective.

Send a text prompt to Gen AI and receive an image response

Congratulations!

You have completed the lab! Congratulations!!

Copyright 2026 Google LLC. All rights reserved. Google and the Google logo are trademarks of Google LLC. All other company and product names may be trademarks of the respective companies with which they are associated.

Before you begin

  1. Labs create a Google Cloud project and resources for a fixed time
  2. Labs have a time limit and no pause feature. If you end the lab, you'll have to restart from the beginning.
  3. On the top left of your screen, click Start lab to begin

Use private browsing

  1. Copy the provided Username and Password for the lab
  2. Click Open console in private mode

Sign in to the Console

  1. Sign in using your lab credentials. Using other credentials might cause errors or incur charges.
  2. Accept the terms, and skip the recovery resource page
  3. Don't click End lab unless you've finished the lab or want to restart it, as it will clear your work and remove the project

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