Diffusion Based Image Generation with Diffuser (Full Course) - ControlNet Python Tutorial: Pose Detection, Inpainting, and Multi-Net Combination

#stablediffusion #aiart #python #generativeai #diffusion #pytorch I am Dr. Balyogi Mohan Dash, and I welcome you to Intelligent Machines! It is a technical tutorial focused on using ControlNet within image generation pipelines, detailing how to achieve highly controlled results. The instructional content first introduces the use of the OpenPose detector to extract and utilize human poses from a source image, thereby guiding Stable Diffusion to generate new images that faithfully mimic the original stance. Additionally, the guide explores how to integrate ControlNet functionalities into an inpainting workflow, where masked regions are filled while adhering to the pose constraints. The advanced segment of the tutorial concentrates on the powerful technique of combining multiple ControlNets, demonstrating the simultaneous use of both pose and depth models to influence an image's structure and its 3D perspective. By adjusting the individual conditioning scales for each control type, users can finely tune the resulting image generation based on various input criteria. 📘 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] Here is the cleaned-up version with only the chapter titles and timestamps: __ Related Videos: Stable Diffusion: Text-to-Image, Image-to-Image & Inpainting Explained https://youtu.be/pucHB7i2IFE Image-to-Image Diffusion Tutorial | Diffusion Course | By Dr Mohan Dash https://youtu.be/-nSAel8dXFo --- 00:00:00 Introduction to ControlNet and Video Overview 00:00:21 Installing Libraries and Setting Up Pipeline 00:01:26 Detecting Pose with OpenPose 00:02:28 Generating Images from Prompts using ControlNet 00:03:26 Adjusting ControlNet Strength 00:03:53 Inpainting with ControlNet 00:05:27 Combining Multiple ControlNets (Pose + Depth) 00:06:59 Strength Sweep and Result Analysis 00:08:14 Closing Remarks and Next Video Preview