Using Stable Diffusion With Python

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Using Stable Diffusion With Python

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Author : Andrew Zhu (Shudong Zhu)
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-03

Using Stable Diffusion With Python written by Andrew Zhu (Shudong Zhu) and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Computers categories.

Master AI image generation by leveraging GenAI tools and techniques such as diffusers, LoRA, textual inversion, ControlNet, and prompt design in this hands-on guide, with key images printed in color Key Features Master the art of generating stunning AI artwork with the help of expert guidance and ready-to-run Python code Get instant access to emerging extensions and open-source models Leverage the power of community-shared models and LoRA to produce high-quality images that captivate audiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionStable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques. You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction. By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.What you will learn Explore core concepts and applications of Stable Diffusion and set up your environment for success Refine performance, manage VRAM usage, and leverage community-driven resources like LoRAs and textual inversion Harness the power of ControlNet, IP-Adapter, and other methodologies to generate images with unprecedented control and quality Explore developments in Stable Diffusion such as video generation using AnimateDiff Write effective prompts and leverage LLMs to automate the process Discover how to train a Stable Diffusion LoRA from scratch Who this book is for If you're looking to gain control over AI image generation, particularly through the diffusion model, this book is for you. Moreover, data scientists, ML engineers, researchers, and Python application developers seeking to create AI image generation applications based on the Stable Diffusion framework can benefit from the insights provided in the book.

Implementing Mlops In The Enterprise

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Author : Yaron Haviv
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11-30

Implementing Mlops In The Enterprise written by Yaron Haviv and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Computers categories.

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy

Advances In Information And Communication

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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2025-03-03

Advances In Information And Communication written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.

This book comprises the proceedings of the Future of Information and Communication Conference (FICC) 2025, held on 28–29 April 2025 in Berlin, Germany. The conference brought together leading researchers, industry experts, and academics from across the globe to discuss the latest advancements, challenges, and opportunities in the rapidly evolving field of information and communication technologies. The conference received an impressive 401 submissions, of which 138 high-quality papers were selected after a rigorous peer-review process. These contributions span a diverse range of topics, including artificial intelligence, cybersecurity, data science, networking, human-computer interaction, and more. FICC 2025 provided an engaging platform for collaboration and knowledge exchange, highlighting state-of-the-art research and practical solutions to global challenges. This proceedings book serves as a valuable resource for researchers, practitioners, and innovators seeking insights into the future of information and communication technologies.

A Beginner S Guide To Medical Application Development With Deep Convolutional Neural Networks

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Author : Snehan Biswas
language : en
Publisher: CRC Press
Release Date : 2024-12-02

A Beginner S Guide To Medical Application Development With Deep Convolutional Neural Networks written by Snehan Biswas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Technology & Engineering categories.

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based deep learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond. Features: Provides programming guidance for creation of sophisticated and reliable neural networks for image processing. Incorporates the comparative study on GAN, stable diffusion, and its application on medical image data augmentation. Focuses on solving real-world medical imaging problems. Discusses advanced concepts of deep learning along with the latest technology such as GPT, stable diffusion, and ViT. Develops applicable knowledge of deep learning using Python programming, followed by code snippets and OOP concepts. This book is aimed at graduate students and researchers in medical data analytics, medical image analysis, signal processing, and deep learning.

Quick Start Guide To Large Language Models

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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2024-09-26

Quick Start Guide To Large Language Models written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Computers categories.

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI Agents Master advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAI Construct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasets Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5 Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind Diagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field." --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Forum Bildverarbeitung 2024

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Author : Längle, Thomas
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-11-21

Forum Bildverarbeitung 2024 written by Längle, Thomas and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with categories.

Bildverarbeitung verknüpft das Fachgebiet die Sensorik von Kameras – bildgebender Sensorik – mit der Verarbeitung der Sensordaten – den Bildern. Daraus resultiert der besondere Reiz dieser Disziplin. Der vorliegende Tagungsband des „Forums Bildverarbeitung“, das am 21. und 22.11.2024 in Karlsruhe als Veranstaltung des Karlsruher Instituts für Technologie und des Fraunhofer-Instituts für Optronik, Systemtechnik und Bildauswertung stattfand, enthält die Aufsätze der eingegangenen Beiträge. - Image processing combines the disciplines of cameras – image-based sensors – with the processing of the sensor data – the images. From this follows the particular attraction of this field. The conference proceedings at hand of the “Image Processing Forum”, which took place on 21.-22.11.2024 in Karlsruhe as a common event of the Karlsruhe Institute of Technology and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, contain the articles of the contributions.

Computing And Machine Learning

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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2024-12-24

Computing And Machine Learning written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, internet of things, human-robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing and mobile computing.

Prompt Engineering For Generative Ai

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Author : James Phoenix
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-05-16

Prompt Engineering For Generative Ai written by James Phoenix and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code

Artificial Intelligence In Education Posters And Late Breaking Results Workshops And Tutorials Industry And Innovation Tracks Practitioners Doctoral Consortium Blue Sky And Wideaied

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Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-07-23

Artificial Intelligence In Education Posters And Late Breaking Results Workshops And Tutorials Industry And Innovation Tracks Practitioners Doctoral Consortium Blue Sky And Wideaied written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.

This three-volume set CCIS 2590-2592 constitutes poster papers and late breaking results, workshops and tutorials, practitioners, industry and policy track, doctoral consortium, blue sky and wideAIED papers presented at the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 72 full papers and 73 short papers (72 of them presented as posters) presented in this book were carefully reviewed and selected from 296 submissions. They are organized in topical sections as follows: Part I: BlueSky; Practitioners, Industry and Policy; WideAIED; Doctoral Consortium. Part II: Late Breaking Results; Part III: Late Breaking Results; Workshops and Tutorials.

Generative Ai

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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date : 2025-04-06

Generative Ai written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-06 with Computers categories.

Generative AI: From Basics to Breakthroughs Unlock the Power of Machines That Imagine, Create, and Build the Future Step into the most transformative era of technology since the invention of the internet. Generative AI is not just reshaping industries—it's redefining what it means to be creative, intelligent, and human. In this groundbreaking guide, you'll explore the fascinating world where algorithms become artists, machines write like humans, and code generates code. Whether you're a developer looking to build the next AI-powered tool, a designer eager to co-create with machines, or simply curious about how tools like ChatGPT, DALL·E, and Stable Diffusion work—this book is your roadmap. 💡 Inside, You’ll Discover: The core building blocks: autoencoders, GANs, transformers, and diffusion models How generative AI powers text, image, audio, video, and code creation Real-world applications across business, education, entertainment, and art The tools, libraries, and platforms that fuel AI development (no coding experience needed!) Case studies from companies like OpenAI, Adobe, GitHub, and Synthesia Crucial conversations on ethics, copyright, bias, and responsible AI use Future trends and how you can ride the wave of the next digital renaissance 📘 Perfect for: Tech professionals & entrepreneurs Designers & digital artists Students, educators & researchers Content creators & marketers Anyone fascinated by the future of intelligence and creativity Whether you're just getting started or seeking to master advanced tools and techniques, Generative AI: From Basics to Breakthroughs is your comprehensive, up-to-date companion to the most exciting technology of our time. Create. Innovate. Elevate. The future isn’t just automated—it’s generated.