Diffusion Based Image Generation with Diffuser (Full Course) - Diffusion Inpainting Tutorial: Seamlessly Edit Image Regions | By Dr Mohan Dash

#stablediffusion #aiart #python #generativeai #diffusion #pytorch In this video, I explain image inpainting using diffusion models. Learn how to edit specific image regions with masks, perform context-aware inpainting using the RePaint paper, and generate realistic edits without retraining the model. The tutorial covers PyTorch implementation, Hugging Face Diffusers, noise synchronization, and mask blending with Gaussian smoothing for seamless results. Perfect for those exploring AI-based image editing, diffusion models, and generative AI techniques. How AI Image Generators Work. 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] 00:00 – Introduction & Overview of Image Inpainting with Diffusion Models 00:23 – What is Inpainting? (Masking and Region Editing Examples) 00:56 – Real-World Use Cases of Inpainting 01:28 – Do We Need Fine-Tuning? (Introduction to RePaint Paper & Key Idea) 03:39 – Core Concept Explained 04:42 – Code Walkthrough 10:54 – Results, Improvements & Next Steps