Generating Creative Images With DALL-E 3 - Holly Picano

Generating Creative Images With DALL-E 3

Create accurate images with effective prompting for real-world applications

(Autor)

Buch | Softcover
230 Seiten
2024
Packt Publishing Limited (Verlag)
978-1-83508-771-8 (ISBN)
37,40 inkl. MwSt
Learn to craft fine art prints, NFTs, and captivating covers for books and magazines with Dall-E 3 and ChatGPT

Key Features

Explore Dall-E 3's diverse practical applications across art, design, education, and beyond
Master AI-generated art creation through step-by-step tutorials, ranging from basic to advanced projects
Enhance your prompt crafting skills with the exclusive prompt cheat sheet
Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionUnveil the extraordinary capabilities of the groundbreaking AI model, DALL-E 3, as it transforms text prompts into accurate images. This book addresses the challenge of creating meaningful images by writing prompts, guiding you step by step through creating stunning visual art regardless of your skill level.
Prepare to delve deep into the inner workings of DALL-E 3's architecture and training process. With clear explanations, practical tutorials, and real-world examples that can be easily applied, you’ll unlock secrets to creating awe-inspiring AI-generated art, from fine art prints to digital designs. This book provides comprehensive insights into various lens options, camera angles, lighting techniques, and art movements, helping you integrate AI capabilities with your artistic skills. You’ll also learn to create NFTs that can be monetized and gain invaluable insights into designing compelling covers, all within the ethical boundaries of AI-generated art. And with the invaluable prompt cheat sheet by your side, you’ll hone your skills in formulating captivating prompts for diverse purposes.
By the end of this book, you’ll have learned how to produce generative AI art at a rapid pace and relatively low cost and push the boundaries of imagination with DALL-E 3.What you will learn

Master DALL-E 3's architecture and training methods
Create fine prints and other AI-generated art with precision
Seamlessly blend AI with traditional artistry
Address ethical dilemmas in AI art
Explore the future of digital creativity
Implement practical optimization techniques for your artistic endeavors

Who this book is forWhether you’re an artist looking to integrate AI into your work, a designer seeking new creative horizons, a tech enthusiast intrigued by the intersection of art and artificial intelligence, an educator in the fields of art and technology, or a curious individual venturing into AI-generated art, this book is for you. For anyone interested in the innovative fusion of creativity and technology, the DALL-E 3 Guide to AI Artistry offers invaluable insights and practical skills that you can apply right away.

Holly Picano, a digital marketing expert and mentor, holds a Master of Science in Digital Marketing from Full Sail University. With over a decade of industry experience, she has managed ad campaigns for Fortune 500 clients like Hilton, Waldorf-Astoria, and the Mayo Clinic. Passionate about sharing knowledge, Holly is now an adjunct Course Director at Full Sail University, empowering the next generation with the skills to thrive in the dynamic field of digital marketing.

Table of Contents

Introduction to Generative AI and DALL-E 3
Your First Creation
Variations and Fine-Tuning
Crafting Fine Art Prints with DALL-E 3
DALL-E 3 and the World of NFTs
Designing Art for Covers of Books, Magazines, and Other Publications
Exploring the Ethical Dimensions and the Future of Art
Effective Prompt Cheat Sheet
Case Study, Interviews, and Insights

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 191 x 235 mm
Themenwelt Informatik Grafik / Design Film- / Video-Bearbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-83508-771-X / 183508771X
ISBN-13 978-1-83508-771-8 / 9781835087718
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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