Build your own vision transformer and diffusion models for text-to-image image generation–from scratch!

Build a Text-to-Image Generator (from Scratch) takes you step-by-step through creating your own AI models that can generate images from text. You’ll explore two methods of image generation—vision transformers and diffusion models—and learn vital AI development techniques as you go.

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

Build a Text-to-Image Generator (from Scratch) dives into the powerful models behind AI image generators like DALL-E and Stable Diffusion. We believe that the best way to learn is to build something from scratch, so in this book you’ll 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.