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Generating Creative Images With DALL-E 3

You're reading from   Generating Creative Images With DALL-E 3 Create accurate images with effective prompting for real-world applications

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835087718
Length 230 pages
Edition 1st Edition
Concepts
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Author (1):
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Holly Picano Holly Picano
Author Profile Icon Holly Picano
Holly Picano
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Getting to Know DALL-E 3
2. Chapter 1: Introduction to Generative AI and DALL-E 3 FREE CHAPTER 3. Chapter 2: Your First Creation 4. Chapter 3: Variations and Fine-Tuning 5. Part 2: Practical Applications
6. Chapter 4: Crafting Fine Art Prints with DALL-E 3 7. Chapter 5: DALL-E 3 and the World of NFTs 8. Chapter 6: Designing Art for Covers of Books, Magazines, and Other Publications 9. Part 3: The Future of AI and Art
10. Chapter 7: Exploring the Ethical Dimensions and the Future of Art 11. Chapter 8: Effective Prompt Cheat Sheet 12. Chapter 9: Case Studies, Interviews, and Insights 13. Index 14. Other Books You May Enjoy

Limitation exploration quiz

Here are some figures that showcase known limitations of DALL-E (such as handling text within images or generating specific, intricate details accurately).

Look at the images in the following subsections and determine which are inaccurate.

Text in images

We have discussed that DALL-E can struggle with accurately placing coherent and contextually correct text within images. For example, generating a book cover with specific title text and author names often results in jumbled or nonsensical characters.

Let’s consider this prompt: Create a mockup book cover with the title “It’s a Sultry Night in London”. The book should be in natural colors, it’s on a desk in a moody dark office.

We’ve already covered the fact that DALL-E 3 usually gets text right about 50% of the time. Here, you’ll notice that very point. Which one is inaccurate?

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A

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