This audiobook is narrated by a digital voice.
About this audiobook
clear
"AI Design Space Unveiled: Navigating Generative Design with Stable Diffusion, DALL-E 2, and Beyond" is a comprehensive guide that delves into the realm of generative design, offering insights into cutting-edge technologies like Stable Diffusion and DALL-E 2. Authored by leading experts in artificial intelligence and design, this book serves as a roadmap for both beginners and seasoned professionals looking to harness the power of AI in their creative endeavors.
The book begins by providing a foundational understanding of generative design principles, laying the groundwork for readers to grasp the concepts and techniques discussed throughout. From there, it explores the revolutionary capabilities of Stable Diffusion, a groundbreaking AI model that excels in generating high-quality images with unprecedented realism and diversity. Readers will learn how Stable Diffusion can be leveraged to expand the boundaries of their creative projects, whether in visual arts, advertising, or product design.
A significant portion of the book is dedicated to DALL-E 2, the successor to the original DALL-E model that made waves in the AI community for its ability to generate images from textual descriptions. With DALL-E 2, readers will discover how they can articulate their design ideas through natural language, allowing for a seamless integration of AI into the design workflow. Through practical examples and step-by-step tutorials, readers will learn how to harness the full potential of DALL-E 2 to bring their visions to life.
Beyond Stable Diffusion and DALL-E 2, the book also explores other emerging technologies and trends in the field of generative design. From GANs (Generative Adversarial Networks) to reinforcement learning, readers will gain insights into the latest advancements and how they can be applied to their own projects.
This audiobook is narrated by a digital voice.
About this audiobook
clear
"AI Design Space Unveiled: Navigating Generative Design with Stable Diffusion, DALL-E 2, and Beyond" is a comprehensive guide that delves into the realm of generative design, offering insights into cutting-edge technologies like Stable Diffusion and DALL-E 2. Authored by leading experts in artificial intelligence and design, this book serves as a roadmap for both beginners and seasoned professionals looking to harness the power of AI in their creative endeavors.
The book begins by providing a foundational understanding of generative design principles, laying the groundwork for readers to grasp the concepts and techniques discussed throughout. From there, it explores the revolutionary capabilities of Stable Diffusion, a groundbreaking AI model that excels in generating high-quality images with unprecedented realism and diversity. Readers will learn how Stable Diffusion can be leveraged to expand the boundaries of their creative projects, whether in visual arts, advertising, or product design.
A significant portion of the book is dedicated to DALL-E 2, the successor to the original DALL-E model that made waves in the AI community for its ability to generate images from textual descriptions. With DALL-E 2, readers will discover how they can articulate their design ideas through natural language, allowing for a seamless integration of AI into the design workflow. Through practical examples and step-by-step tutorials, readers will learn how to harness the full potential of DALL-E 2 to bring their visions to life.
Beyond Stable Diffusion and DALL-E 2, the book also explores other emerging technologies and trends in the field of generative design. From GANs (Generative Adversarial Networks) to reinforcement learning, readers will gain insights into the latest advancements and how they can be applied to their own projects.
A Guide to Generative AI Design with Stable Diffusion, DALL-E 2
A Guide to Generative AI Design with Stable Diffusion, DALL-E 2
FREE
with a B&N Audiobooks Subscription
Product Details
| BN ID: | 2940191054926 |
|---|---|
| Publisher: | Anand Vemula |
| Publication date: | 08/15/2024 |
| Edition description: | Unabridged |
Videos
