Build a Text-to-Image Generator (from Scratch) by Mark Liu, Hardcover, 9781633435421 | Buy online at The Nile
Build a Text-to-Image Generator (from Scratch), 9781633435421
Hardcover
Build your own AI image generator, from code to creativity.

Build a Text-to-Image Generator (from Scratch)

With Transformers and Diffusions

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$124.98

  • Hardcover

    360 pages

  • Release Date

    23 January 2026

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Summary

AI images flood feeds, yet the models behind them feel mysterious. Relying on black boxes risks bias, errors, and costly creative dead ends. You deserve hands-on skills to build, audit, and improve these generators yourself. This book starts from a blank notebook, guiding every line of Python code. Learn transformers for vision, then craft diffusion models that sharpen noise into art. Finish with a custom system generating high-resolution images from any text prompt.

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Book Details

ISBN-13:9781633435421
ISBN-10:1633435423
Author:Mark Liu
Publisher:Manning Publications
Imprint:Manning Publications
Format:Hardcover
Number of Pages:360
Release Date:23 January 2026
Weight:639g
Dimensions:235mm x 190mm x 20mm
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Critics Review

  • This book stands out for its hands-on, no-fluff approach to text-to-image generation—perfect for practitioners who want to build rather than just theorize. The clear PyTorch implementations, Colab-friendly examples, and practical exercises make even advanced concepts like Diffusion Models feel achievable.Simeon Leyzerzon, President, Excelsior Software Ltd.
  • This book is a great hands-on intro to how text-to-image models like Stable Diffusion actually work under the hood. It explains the roles of transformers, VAEs, and denoising U-Nets in a super approachable way, with lots of code you can run yourself. If you’re curious about generative AI and want to build or tweak your own models, this is a solid place to start.Ravikumar Sanapala, Product Manager, Reality Labs, Meta

About The Author

Mark Liu

Mark Liu is a professor and program director known for translating cutting-edge AI into practical curricula. With years mentoring graduate students and professionals, Mark brings clarity, rigor, and enthusiasm to every page. He distills deep generative-model expertise into step-by-step guidance that empowers readers to build powerful visual AI systems.

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