Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn to build and understand a Text-to-Image Diffusion AI model from the ground up in this comprehensive 25-minute video tutorial that breaks down the code line-by-line. Master the fundamentals of Generative AI Diffusion models, explore Latent Diffusion Models (LDMs), and discover how Text-to-Image conditional Latent diffusion models work through 15 key concepts. Follow along with a practical PyTorch implementation trained on a laptop, complete with detailed explanations and demonstrations. Access supplementary materials including a code repository, condensed 15-minute walkthrough, detailed 4000+ word script, 15+ animations, and presentation slides through the creator's Patreon. Explore related concepts through linked videos covering topics like Text-to-Video Diffusion models, Attention mechanisms, Latent Space, CNNs, U-Net architecture, NLP history, and Multimodal Models. Reference key research papers including DDPM, CLIP, and LDMs, while working with the CelebA dataset available on Kaggle.
