Build a DALL-E Image Generator Using React, JavaScript, and OpenAI

Video description

DALL-E is an AI system that can create realistic images and art from a description in natural language. DALL-E can create original, realistic images from a text description, combining concepts, attributes, and styles.

The course introduces DALL-E and OpenAI technology and how DALL-E generates images from textual descriptions. We will delve into React fundamentals, set up a React development environment, work with React components and hooks, understand the React DOM, and build a dynamic/responsive UI. Please note that the React/JavaScript content cannot be considered comprehensive coding lessons. We will integrate the DALL-E API, understand API calls, and fetch API data. We will process API data, render it in React, and display images generated by the API. We will set up a GitHub repository. We will deploy the React app to GitHub. In the advanced React techniques section, we will build forms, handle user input, implement custom hooks, and use React libraries and third-party packages. To conclude, we will review the skills acquired and tips for further learning.

By the end of this DALL-E course, you can build a fully functional image generator and learn the benefits of OpenAI, React, and GitHub. This project will be a valuable addition to your portfolio, and you will continue building exciting React and AI applications.

What You Will Learn

  • Understand how DALL-E generates images from textual descriptions
  • Set up a React development environment, work with components/hooks
  • Explore API calls, fetch DALL-E API data, process and render it in React
  • Set up a GitHub repository and deploy your React app to GitHub
  • Learn to build forms and store and handle user input
  • Implement custom hooks/states with React libraries/third-party packages

Audience

This course is niched to cater to individuals wanting to gain confidence as a developer for jobs with DALL-E and modern development technology, already know JavaScript, and are curious about the technologies. This course is useful if one is interested in seeing what the hype is all about DALL-E and decide its use case; if one is interested in working on a project in the future and entering the AI industry or developing a portfolio for employable prospects with a clear and concrete understanding. If an individual wants to start with programming, DALL-E and JavaScript are an excellent way to get started.

About The Author

Clarian North: Clarian North is a recognized industry-certified instructor, CEO of Orbital LLC, and a senior project engineer with over 90K enrolments worldwide. His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and the BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice.

He has worked for majors, indies, and international publishing houses, including Grammy-nominated and award-winning productions, mixing for Emirates Airline Inflight Radio, and producing for Kompakt Records. He is dedicated to giving accessible and comprehensive tech courses, teaching complex subject matter with clear and example-based explanations, and guiding students through complex techniques with just a computer and free software.

Table of contents

  1. Chapter 1 : DALL-E OpenAI Project Setup
    1. What We Are Building with DALL-E and OpenAI in This Course
    2. Download Node.js and Visual Studio Code for DALL-E Project Setup
    3. What Is Next.js? How to Make a New Project with npx?
    4. A Brief Overview of the Next.js File Boilerplate for Our DALL-E Initial Project
    5. Running a Development Server of Next.js for DALL-E Project
  2. Chapter 2 : DALL-E Image Application Page Build
    1. Next.Js Basics for Absolute Beginners
    2. Coding Out the Application Skeleton in TSX for DALL-E Image Generator with Text
    3. CSS Styling and Integration for Our DALL-E OpenAI App
    4. UX and UI Integrations into DALL-E App with CSS
  3. Chapter 3 : How to Get a DALL-E API OpenAI Key and Configuration
    1. Generating an API Key from OpenAI and Securely Storing Env Variables
    2. DALL-E Create Image Implementation into Our OpenAI Application
    3. OpenAI Key Configuration Setup with Next JS
    4. OpenAI Configurations and Updating DALL-E API Code
    5. Async Await Calls to DALL-E OpenAI API in Next JS
  4. Chapter 4 : Rendering and Creating Images with DALL-E in Our App
    1. Adding Image State for Beginners with Hooks in React for DALL-E App
    2. Setting API DALL-E Image Data in the Application
    3. Dynamically Updating Image Creation with DALL-E and OpenAI
    4. Optimizing a React App with Loading for API Fetches to OpenAI DALL-E
  5. Chapter 5 : Styling the DALL-E-Based Application and User Experience Enhancements
    1. Optimizing Leading Images with DALL-E in React with JavaScript Fundamental Al
    2. Creating Ripple Animations with CSS for DALL-E Loading Images in React
    3. Mailing Feature to Send DALL-E Generated Pictures
  6. Chapter 6 : Deploying the DALL-E OpenAI Application with Vercel and GitHub
    1. What Is GitHub and Why Does It Matter
    2. Setting Up GitHub Git Version and PAT Access with Pushes
    3. Pushing Code to GitHub Repo DALL-E OpenAI
    4. Deploying the DALL-E Project into Production with Vercel
  7. Chapter 7 : Adding Animations with Sassy CSS to Our DALL-E Application from OpenAI
    1. Introduction to SCSS and Setting Up Animation Code
    2. Working with Keyframes for Animations
    3. Finalizing Animations with SCSS For DALL-E OpenAI

Product information

  • Title: Build a DALL-E Image Generator Using React, JavaScript, and OpenAI
  • Author(s): Clarian North
  • Release date: April 2023
  • Publisher(s): Packt Publishing
  • ISBN: 9781805124269