Demo Image Variations

In this tutorial, you’ll learn how to generate multiple variations of an existing image using the OpenAI DALL·E API. By the end, you’ll be able to:

Load and preview a source image
Call the DALL·E variations endpoint
Render the generated images

Prerequisites

Python 3.6+
Install the OpenAI Python library:

pip install openai

Set your API key as an environment variable:

export OPENAI_API_KEY="your_api_key_here"

1. Import Modules and Configure the API Key

Begin by importing the necessary modules and loading your API key:

import openai
import os
from IPython.display import Image, display

openai.api_key = os.getenv("OPENAI_API_KEY")

2. Load and Display the Source Image

Use IPython’s display utilities to preview the original asset:

display(Image(filename='./images/lion-cub.png'))

This shows a lion and its cub.

3. Generate Three Variations

Call the DALL·E variation endpoint, specifying the image file, output size, and number of results:

response = openai.Image.create_variation(
    image=open('./images/lion-cub.png', 'rb'),
    size='512x512',
    n=3
)

You can modify the size or the n parameter to control the resolution and the number of variations returned.

4. Render the Generated Variations

Display each variation using the URLs returned in the response:

# Variation 1
display(Image(url=response['data'][0]['url']))

# Variation 2
display(Image(url=response['data'][1]['url']))

# Variation 3
display(Image(url=response['data'][2]['url']))

Each variation offers a unique composition or style. Experiment with different source images or parameters to explore new creative directions.

Summary of Steps

Step	Description	Example Code
Import & Authenticate	Load libraries and set API key	`openai.api_key = os.getenv("OPENAI_API_KEY")`
Preview Source Image	Display the original image	`display(Image(...))`
Request Variations	Generate `n` new images with specified size	`openai.Image.create_variation(...)`
Render Outputs	Show each variation using returned URLs	`display(Image(url=...))`

Next Steps

Now that you’ve created image variations, consider exploring other OpenAI offerings:

Introduction

What is Generative AI

Getting Started with OpenAI

Exploring ChatGPT

Understanding Prompt Engineering

Understanding Tokens and API Parameters

Implementing Word Completion

Implementing Code Completion

Building an Interactive Chatbot

Performing Text Processing and Analysis

Using Word Embeddings For Dynamic Context

Fine-tuning GPT-3 with a Custom Dataset

Generating Images

Audio Transcription & Translation

Moderating Prompts with Moderating API

Summary and Next Steps

Demo Image Variations

Prerequisites

1. Import Modules and Configure the API Key

2. Load and Display the Source Image

3. Generate Three Variations

4. Render the Generated Variations

Summary of Steps

Next Steps

References

Watch Video

Practice Lab

​Prerequisites

​1. Import Modules and Configure the API Key

​2. Load and Display the Source Image

​3. Generate Three Variations

​4. Render the Generated Variations

​Summary of Steps

​Next Steps

​References

Watch Video

Practice Lab

Prerequisites

1. Import Modules and Configure the API Key

2. Load and Display the Source Image

3. Generate Three Variations

4. Render the Generated Variations

Summary of Steps

Next Steps

References