A.I IMAGE GENERATION PDF Download

Author: Dr. Fendi Ameen
Publisher: Iris Publishing
ISBN:
Category : Architecture
Languages : en
Pages : 82

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Book Description
Text-to-image technology using AI is a revolutionary advancement that enables us to generate extraordinary images from mere textual descriptions. With this technology, we can now reveal our thoughts and feelings in an exceptional and impactful way. This E-book is about AI's text-to-image technology, a groundbreaking development that lets us create amazing images from text descriptions. It allows us to express our thoughts and feelings uniquely and powerfully. The e-book guides you on how this technology works and how to use it to create beautiful images. It focuses on Microsoft's free image generator, Bing Image Creator. This book helps you quickly learn how to use this technology to create stunning images for various purposes like hobbies, creativity, or marketing This e-book offers a thoughtful examination of the ethical implications of incorporating AI in visual media, emphasizing the importance of responsible use. It's a valuable resource for anyone interested in exploring the vast potential of AI-generated images and their impact on various industries.

Author:
Publisher: Beatrix White
ISBN:
Category : Education
Languages : en
Pages : 112

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Book Description
In the rapidly evolving world of artificial intelligence, the ability to generate lifelike images through AI has captured the imagination of tech enthusiasts, artists, and professionals alike. "A Guide from Beginner to Advanced Level in AI Image Generation" is a comprehensive non-fiction book designed to take readers on an enlightening journey into the heart of AI-driven creativity. This guide stands as a beacon for those eager to explore the vast potential of AI image generation, offering a clear path from foundational concepts to advanced techniques. The book begins by demystifying the core principles behind artificial intelligence and its application in creating images. It introduces readers to the basics of machine learning algorithms, neural networks, and how these technologies converge to simulate human-like creativity in generating visuals. With an emphasis on accessibility, this section ensures that even readers with no prior knowledge of AI can grasp these fascinating concepts. As the guide progresses, it delves deeper into more sophisticated topics such as Generative Adversarial Networks (GANs), Deep Learning, and Convolutional Neural Networks (CNNs). Through engaging explanations and illustrative examples, you will learn how these cutting-edge technologies are used to produce complex and astonishingly realistic images. The book also explores various tools and platforms available for AI image generation, providing practical advice on getting started with your projects. What sets this guide apart is its hands-on approach. Each chapter includes step-by-step tutorials, exercises, and projects designed to reinforce learning and encourage experimentation. Whether you're an artist looking to incorporate AI into your creative process or a developer aiming to harness the power of image generation in your applications, this book offers valuable insights and skills that can be applied across multiple domains. Moreover, "A Guide from Beginner to Advanced Level in AI Image Generation" addresses ethical considerations and challenges associated with AI-generated content. It prompts readers to think critically about issues like copyright infringement, authenticity verification, and the societal impact of indistinguishable real from artificial imagery. Beyond technical mastery, this book inspires creativity and innovation. It showcases groundbreaking works by pioneering artists and developers in the field of AI image generation. These case studies not only highlight what's currently possible but also spark imagination about future advancements. Intended for hobbyists curious about the intersection between technology and artistry; professionals seeking to enhance their toolkit; educators looking for comprehensive teaching material; or simply anyone fascinated by the prospect of creating with AI—this guide serves as an essential resource. "A Guide from Beginner to Advanced Level in AI Image Generation" is more than just a manual; it's a journey into a new frontier of digital creativity. By bridging theoretical knowledge with practical application, it empowers readers not just to understand but also actively participate in shaping the future landscape of visual media through artificial intelligence.

Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 71

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Book Description
ideogram ai image generator Unleash the power of AI-driven visuals with Ideogram! This comprehensive ebook explores the transformative potential of Ideogram AI, a revolutionary technology poised to reshape society, businesses, and the very nature of work. Dive deep into how Ideogram empowers creative expression across various industries, from design and marketing to education and beyond. Beyond the Hype: A Look at Ideogram's Real-World Impact This ebook goes beyond the buzzwords to provide a grounded exploration of Ideogram's practical applications. Discover how businesses can leverage AI-generated visuals to create high-impact marketing campaigns, or how designers can utilize Ideogram to generate a multitude of initial design concepts, accelerating the creative process. But the impact of Ideogram doesn't stop there. Explore how educators can use Ideogram to create personalized learning experiences, or how architects can use AI to design more sustainable and functional buildings. The Ethical Considerations: A Responsible Future for AI As powerful as Ideogram is, it's crucial to address the ethical considerations surrounding its use. This ebook delves into potential biases within AI datasets and explores how to mitigate them. Learn about the importance of transparency in AI development and how to ensure responsible use of Ideogram to avoid misinformation or the erosion of creative originality. Preparing for the Ideogram Revolution: Equipping Yourself for the Future The widespread adoption of AI is on the horizon, and this ebook equips you with the knowledge and tools to navigate this exciting new landscape. Gain insights into how the future of work will be shaped by human-AI collaboration and identify the skills necessary to thrive in this evolving environment. Embrace the Future, Today: Download Your Guide to the Ideogram AI Revolution Ideogram AI presents a future brimming with creative potential and groundbreaking innovation. Don't be left behind! Download this ebook today and become a forerunner in the exciting world of AI-driven visual creation. Explore the possibilities, navigate the ethical considerations, and prepare to be a part of the Ideogram AI revolution.

Author: Soon Yau Cheong
Publisher: Packt Publishing Ltd
ISBN: 1838821104
Category : Computers
Languages : en
Pages : 306

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Book Description
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build deep neural networks with advanced TensorFlow 2.x featuresBook Description The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid understanding of the underlying principles. Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You’ll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You’ll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN. By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently. What you will learnTrain on face datasets and use them to explore latent spaces for editing new facesGet to grips with swapping faces with deepfakesPerform style transfer to convert a photo into a paintingBuild and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translationUse iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic imagesBecome well versed in attention generative models such as SAGAN and BigGANGenerate high-resolution photos with Progressive GAN and StyleGANWho this book is for The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You’ll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best out of this book.

Author: Anand Vemula
Publisher: Anand Vemula
ISBN:
Category : Computers
Languages : en
Pages : 28

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Book Description
This book delves into the fascinating world of diffusion models, a powerful tool in generative AI. It equips readers with the knowledge to understand how these models work, explore their applications, and stay informed about future advancements. Part 1: Introduction Chapter 1: Unveils the core concept of diffusion models. It explains how they work by adding noise to data and then learning to reverse the process, ultimately generating new, realistic outputs. The chapter also explores the various applications of diffusion models across diverse fields. Chapter 2: Introduces the broader landscape of generative AI models and compares diffusion models with other popular approaches like VAEs and GANs. This helps readers understand the unique strengths of diffusion models. Part 2: Deep Dive Chapter 3: Dives deeper into the inner workings of diffusion models (optional for those without a strong mathematical background). It explores the concept of probability distributions and other key mathematical concepts that underpin these models. Chapter 4: Explains the diffusion process in detail, including the step-by-step addition of noise and different diffusion model architectures (e.g., U-Net, DDPM). Chapter 5: Explores how diffusion models learn to reverse the noise addition process. It delves into the training techniques and optimization methods used to achieve this remarkable feat. Chapter 6: Explains how to use a trained diffusion model to generate entirely new data. It covers different strategies for initiating the sampling process and controlling the generation by providing prompts or specific styles. Part 3: Applications and Beyond Chapter 7: Showcases how diffusion models can be used for image editing tasks like inpainting (filling in missing parts) and style transfer (applying the style of one image to another). Chapter 8: Pushes the boundaries beyond images. It explores how diffusion models can be adapted to generate different data formats like text, audio, and even 3D structures, opening doors for creative writing, music generation, and scientific research. Chapter 9: Explores cutting-edge research on diffusion models, highlighting their increasing capabilities and potential future directions. This includes improving efficiency and control, making models more interpretable, and addressing ethical considerations. Part 4: Conclusion Chapter 10: Discusses the significant impact of diffusion models on generative AI and various fields. It emphasizes the importance of responsible use and explores ethical considerations like bias, misinformation, and copyright ownership. The chapter concludes with a hopeful outlook on the future of diffusion models and their potential for human-AI collaboration. Overall, this book offers a comprehensive and engaging introduction to diffusion models, empowering readers to not only understand but also leverage this powerful technology for creative exploration and innovation.

Author: Renee Gade
Publisher: Estalontech
ISBN:
Category : Design
Languages : en
Pages : 57

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Book Description
In today's digital age, the ability to create visually stunning images is a valuable asset in various industries. With the rise of artificial intelligence (AI), image creation has become more accessible and efficient. This comprehensive guide explores how to produce amazing AI images using Midjourney's cutting-edge AI tools. "Mastering Image Creation with Midjourney AI Tools" is the ultimate guide for those looking to enhance their image creation process. The book provides a detailed overview of Midjourney and its capabilities, including its free AI image generators and the subscription-based tools. It then delves into the AI image generators available, including their unique features. The reader will learn how to optimize their performance and create stunning images. The author provides a thorough description of its capabilities and limitations, as well as step-by-step instructions for creating images. The book also includes practical tips and techniques for using the generators, such as adjusting the training data. In addition to providing technical guidance, the book also addresses ethical considerations surrounding AI image creation. The author explores the potential for bias in the data sets used to train AI models and the privacy concerns that arise from using AI to generate images. "Mastering Image Creation with Midjourney AI Tools" is suitable for beginners and experienced professionals alike. The book provides a clear and concise explanation of AI image creation, making it accessible to those who may be unfamiliar with the technology. The step-by-step instructions and practical tips also make it a valuable resource for professionals looking to enhance their skills. Overall, "Mastering Image Creation with Midjourney AI Tools" is a comprehensive and practical guide to producing amazing AI images with ease. The book covers AI image creation, from customizing the generators to optimizing their performance and considering ethical concerns. Whether you're an artist, graphic designer, or digital marketer, this book is a must-read for anyone looking to create stunning AI images.

Author: Pamela McCorduck
Publisher: Macmillan
ISBN: 0716721732
Category : Aaron
Languages : en
Pages : 262

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Book Description
Aaron's Code tells the story of the first profound connection between art and computer technology. Here is the work of Harold Cohen - the renowned abstract painter who, at the height of a celebrated career in the late 1960's, abandoned the international scene of museums and galleries and sequestered himself with the most powerful computers he could get his hands on. What emerged from his long years of solitary struggle is an elaborate computer program that makes drawings autonomously, without human intervention - an electronic apprentice and alter ego called Aaron.

Author: Xudong Mao
Publisher: Springer Nature
ISBN: 9813360488
Category : Computers
Languages : en
Pages : 77

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Book Description
Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose. They are robot artists in a sense, and their output is remarkable – poignant even. In 2018, Christie’s sold a portrait that had been generated by a GAN for $432,000. Although image generation has been challenging, GAN image generation has proved to be very successful and impressive. However, there are two remaining challenges for GAN image generation: the quality of the generated image and the training stability. This book first provides an overview of GANs, and then discusses the task of image generation and the details of GAN image generation. It also investigates a number of approaches to address the two remaining challenges for GAN image generation. Additionally, it explores three promising applications of GANs, including image-to-image translation, unsupervised domain adaptation and GANs for security. This book appeals to students and researchers who are interested in GANs, image generation and general machine learning and computer vision.

Author: Jay Friedenberg
Publisher: Ethics International Press
ISBN: 1804416061
Category : Computers
Languages : en
Pages : 170

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Book Description
The field of value alignment, or more broadly machine ethics, is becoming increasingly important as artificial intelligence developments accelerate. By ‘alignment’ we mean giving a generally intelligent software system the capability to act in ways that are beneficial, or at least minimally harmful, to humans. There are a large number of techniques that are being experimented with, but this work often fails to specify what values exactly we should be aligning. When making a decision, an agent is supposed to maximize the expected utility of its value function. Classically, this has been referred to as happiness, but this is just one of many things that people value. In order to resolve this issue, we need to determine a set of human values that represent humanity's interests. Although this problem might seem intractable, research shows that people of various cultures and religions actually share more in common than they realize. In this book we review world religions, moral philosophy and evolutionary psychology to elucidate a common set of shared values. We then show how these values can be used to address the alignment problem and conclude with problems and goals for future research. The key audience for this book will be researchers in the field of ethics and artificial intelligence who are interested in, or working on this problem. These people will come from various professions and include philosophers, computer programmers and psychologists, as the problem itself is multi-disciplinary.

Author: Amit Bahree
Publisher: Simon and Schuster
ISBN: 1633436942
Category : Computers
Languages : en
Pages : 462

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Book Description
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools