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Photography --- photography [process] --- generative art --- fotografie

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Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Graphic arts --- software --- graphic design --- generative art

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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 Description Unveil 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 for Whether 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.

Computer art. --- Generative art. --- Technology and the arts. --- Natural language generation (Computer science) --- Neural networks (Computer science) --- Artificial intelligence. --- Computer programs. --- ChatGPT.

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Après la spectaculaire présentation de son travail à Londres, Olafur Eliasson (1967) expose début 2020 une installation entièrement et spécialement revue pour la Kunsthaus Zürich. Ce sont ces oeuvres de l'artiste islando-danois qui attirent comme par magie les spectateurs/trices. Olafur Eliasson, lorsqu'il en parle, explique que ce qui lui importe avant tout c'est l'expérience de la rencontre physique avec l'oeuvre elle-même.Lui qui compte depuis des années parmi les plus grands artistes contemporains a commencé très tôt à traiter le sujet de la durabilité et ses thèmes sur fond d'écologie parlent aujourd'hui à de nombreux visiteurs/trices. C'est pourquoi le livre comme l'exposition tournent aussi autour de notre rapport aux autres espèces et formes de vie sur Terre. Le plaidoyer d'Olafur Eliasson pour une conception d'un monde de coexistence et de collaboration est particulièrement manifeste lorsqu'il transforme l'espace muséal en une seule installation immersive.

Art --- installations [visual works] --- color [perceived attribute] --- light art --- ecological art --- generative art --- earth [soil] --- water [inorganic material] --- ice --- mushrooms --- Eliasson, Olafur --- Olafur Eliasson, --- Olafur Eliasson, - 1967- - Exhibitions --- ice [water by form] --- mushrooms [fungi] --- Olafur Eliasson, - 1967 --- -Art --- -Olafur Eliasson, - 1967-

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This book introduces you to the exciting world of generative art and creative coding through the medium of JavaScript and Scalable Vector Graphics (SVG). Using tried and trusted techniques, you’ll tackle core topics such as randomness and regularity, noise and naturalistic variance, shape and path creation, filter effects, animation, and interactivity. In the process you’ll learn SvJs, a JavaScript library that closely mirrors the SVG spec and makes scripting SVG intuitive and enjoyable. You’ll also study the craft of generative art and its creative process, along with JavaScript fundamentals, using modern ES6+ syntax. Each chapter will build upon the previous one, and those completely new to programming will be given a primer to help them find their feet. Generative Art with JavaScript and SVG will take you on a fun journey, peppered with plenty of sketches throughout, designed not only to explain, but to inspire. You Will: • Structure and randomise compositions. • Understand the different types of randomness and their probability distributions. • Create organic variance with the SvJs Noise module. • Apply SVG filter effects in a generative fashion. • Explore different approaches to animating with SVG. • Make your compositions dynamic and interactive.

Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Graphic arts --- computervisie --- DIP (documentimage processing) --- beeldverwerking --- websites --- grafische vormgeving --- informatica --- interfaces --- Internet programming. --- Graphic arts. --- User interfaces (Computer systems). --- Human-computer interaction. --- Image processing --- Computer vision. --- Web Development. --- Graphic Design. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Digital techniques. --- Generative art. --- JavaScript (Computer program language) --- SVG (Document markup language)