Description
Build a Text-to-Image Generator (from Scratch) delves into the world of digital art and generative models, teaching you how to build tools like DALL-E and Stable Diffusion from the ground up. The author explores two main approaches: visual transformers and diffusion models, helping readers understand how words are transformed into image pixels.
In addition to image generation, concepts such as image editing with text commands, automated captioning of images, and visual categorization are also covered. This resource provides a practical roadmap with clear diagrams and coding examples for developers looking to enter the field of multimodal AI.
Book Features
- Learn how to build and train diffusion models to produce high-quality images.
- Exploring the Vision Transformers architecture for image classification and understanding.
- Learning how to use the CLIP model to measure similarity between text and image.
- Existing image editing techniques using only text prompts.
- Learn how to fine-tune large models for specific artistic or industrial applications.
- Deepfake detection methods using features extracted from the model.
Book specifications
- Publisher: MANNING
- Instructor/Author: With uansformers
- Number of pages: 361
- Number of chapters: 13
- Format: PDF
Headlines
Pictures
User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
File size
9.7 MB
