Build a Text-to-Image Generator (from Scratch) With transformers and diffusions

Dive into the powerful models behind AI image generators. The best way to learn is to build something from scratch, and in this book you'll build your very own diffusion model and vision transformer. As you work through each stage of development, you'll develop an understanding of how these models can be customized, applied, and integrated for impressive multimodal AI.
Build a Text-to-Image Generator (from Scratch) teaches you how to
* Build and train models to generate high resolution images based on text descriptions
* Edit an existing image based on text prompts
* Build and train a model to add captions to images
* Build and train a vision transformer to classify images
* Fine-tune LLMs for downstream tasks such as classification, text or image generation
* Better differentiate real images from deepfakes
About the technology
AI-generated images appear everywhere from high-end advertising to casual social media feeds. Text-to-image tools like Dall-e, Midjourney, and Flux make it easy to create AI art, but how do they work? In this book, you'll find out by building your own text-to-image generator!
About the book
Build a Text-to-Image Generator (from Scratch) explores both transformer-based image generation and diffusion models. You'll work hands-on to build a pair of simple generation models that can classify images, automatically add captions, reconstruct images, and enhance existing graphics. Author Mark Liu guides you every step of the way with clear explanations, informative diagrams, and eye-opening examples you can build on your own laptop.

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