Diffusion Based Image Generation with Diffuser (Full Course) - Stable Diffusion: Text-to-Image, Image-to-Image & Inpainting Explained

#stablediffusion #aiart #python #generativeai #diffusion #pytorch I am Dr. Balyogi Mohan Dash, and I welcome you to Intelligent Machines! Dive deep into Stable Diffusion, the breakthrough text-to-image model that powers modern AI image generation. Learn how latent diffusion, CLIP embeddings, and classifier-free guidance work together to generate realistic images from text. We cover text conditioning, scheduler tuning, image-to-image, and inpainting using the Diffusers library. Perfect for anyone learning AI, deep learning, or diffusion models. 📘 Full playlist on diffusion: https://youtube.com/playlist?list=PLoSULBSCtofearln-pGND44nr69FE9eIM&si=LATKNLGwu0NULoly All code used in this video is available here: https://github.com/mohan696matlab/Diffusion_Gen_AI_Course Subscribe to the channel to follow this complete course and master diffusion models from theory to practical implementation. 🔗Links🔗 LinkedIn: https://www.linkedin.com/in/balyogi-mohan-dash/ GitHub: https://github.com/mohan696matlab Google Scholar: https://scholar.google.com/citations?user=jzcIElIAAAAJ&hl=en WhatsApp inquiries are currently closed. Please reach out via email for any questions: [email protected] 0:00 - Introduction – Stable Diffusion and text-conditioned generative models 0:38 - Overview – Why Stable Diffusion became the most popular text-to-image model 1:13 - Architecture Deep Dive – Autoencoder, Latent Space, and Diffusion Process 1:45 - Text Conditioning – Using CLIP text embeddings for semantic alignment 3:10 - Stable Diffusion Pipeline – VAEs, UNet, Tokenizer, and Scheduler setup 4:20 - Deconstructing the Pipeline – Tokenization, embeddings, and latent initialization 6:40 - Classifier-Free Guidance – Improving text adherence with dual conditioning 8:34 - Image-to-Image Diffusion – Editing and controlling image transformations 10:12 - Inpainting with Stable Diffusion – Mask-based guided generation explained 11:11 - Summary & Next Steps – ControlNet preview and key takeaways