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Mastering Control-Net: Full Guide to Controlling Diffusion Models in Stable Diffusion

#stablediffusion #controlnet #generativeai #diffusion #pytorch #imageediting

I am Dr. Balyogi Mohan Dash, and I welcome you to Intelligent Machines!

Unlock full control over your AI-generated images with Control-Net! In this video, we dive deep into how Control-Net enhances standard diffusion models, allowing you to guide image generation using sketches, depth maps, human poses, and more. Learn about architecture, training, conditioning signals, strength adjustment, and practical implementation using the Stable Diffusion pipeline. Perfect for both AI enthusiasts and machine learning engineers looking to understand the mechanics behind controlled image synthesis.

📘 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: mohandash96@gmail.com
Here is the cleaned-up version with only the chapter titles and timestamps:

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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 Introduction to Control Net
00:00:39 What is a Control Net
00:01:04 Types of Guidance: Depth, Canny, Segmentation, Pose
00:01:26 Combining Multiple Control Nets
00:02:00 Basic Operation of Control Net
00:02:42 Zero Convolution and Training
00:03:37 Conditioning Signal and Strength
00:04:16 Coding with Diffusers Library
00:05:29 Preparing Input Images and Canny Edges
00:06:27 Generating Images with Control Net
00:07:27 Controlling Strength of Control Net
00:08:22 Combining Control Net with Inpainting
00:10:53 Manual Denoising Loop Explanation
00:15:57 Final Image Generation Process
00:16:12 Summary and Next Video Preview

Видео Mastering Control-Net: Full Guide to Controlling Diffusion Models in Stable Diffusion канала Intelligent Machines
deeplearning pytorch python ai diffusion text2image huggingface ml stable diffusion
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22 ноября 2025 г. 17:45:15
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