Deep Learning Course
Stable Diffusion Masterclass - Theory, Code & Application
Introducing Theory Mathematically Focused Coding Focused Project Based
Pytorch Hugging Face Jupyter Discord
Level: Advanced
Instructor: Mandy
$79.99 $99.99 20% Off - Limited Offer
Enrolled
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Course Includes
What you'll learn ...
Learn what diffusion models are and where they fall in the field of Deep Learning
Understand how latent diffusion models revolutionized the field of generative AI art
Understand Stable Diffusion and all of its components
Gain an intuitive understanding for how neural networks can be used to generate any image
Learn how exactly a latent diffusion model is trained by denoising images
Gain an understanding for using text as guidance for image generation
Learn how autoencoders and text encoders are used during training and inference
Understand the main U-Net component of Stable Diffusion
Understand how to improve generated images with classifier-free guidance
Gain an understanding for the inference process and all inference parameters
Learn how to perform image-to-image generation and how it works
Understand inpainting, outpainting, and masking
Learn how to train a diffusion model using Textual Inversion & LoRA techniques
Experience how to work with popular apps to both train diffusion models & generate images
Learn how to work with diffusion models in code
Part 1 - INTRODUCTION TO DIFFUSION MODELS
Section 1 - Latent Diffusion Models & Training Process
Lesson #1
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Stable Diffusion Masterclass - Course Overview
Lesson #2
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Introduction to Latent Diffusion Models
Lesson #3
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Components of Stable Diffusion
Lesson #4
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Intuitive Intro to Image Generation with Latent Diffusion Models
Lesson #5
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Training a Diffusion Model
Section 2 - Diffusion Model Components & Inference
Lesson #6
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Text as Guidance for Diffusion Models - CLIP Text Encoder
Lesson #7
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Autoencoders for Image-to-Latent Compression for Diffusion Models
Lesson #8
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U-Net - Diffusion Model Architecture
Lesson #9
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Classifier-Free Guidance - Improving Image Quality
Lesson #10
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Inference with a Diffusion Model
Part 2 - DIFFUSION MODELS CODE & APPLICATIONS
Section 1 - Image Generation with Stable Diffusion
Lesson #11
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Inference Parameter Tuning Automatic1111 Demo - Generating Images with Stable Diffusion
Lesson #12
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Image To Image - Generating Images from Existing Images
Lesson #13
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Image to Image Automatic1111 Demo - Generating Images with Stable Diffusion
Lesson #14
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Masking - Image to Image Generation
Lesson #15
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Inpainting & Outpainting - Image to Image Generation
Lesson #16
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Masking, Inpainting, & Outpainting Automatic1111 Demo - Generating Images with Stable Diffusion
Section 2 - Training a Diffusion Model
Lesson #17
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Textual Inversion - Creating Images of Personalized Subjects & Styles
Lesson #18
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Textual Inversion Preprocessing Automatic1111 Demo - Generating Personalized Images with Stable Diffusion
Lesson #19
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Textual Inversion Training Demo with Automatic1111 - Generating Personalized Images with Stable Diffusion
Lesson #20
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Creating & Training LoRA Models - Fine-tuning Stable Diffusion
Lesson #21
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LoRA Preprocessing Demo with Kohya - Generating Personalized Images with Stable Diffusion
Lesson #22
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LoRA Training Config Demo with Kohya - Generating Personalized Images with Stable Diffusion
Lesson #23
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LoRA Training Demo with Kohya - Generating Personalized Images with Stable Diffusion
Section 3 - HuggingFace Diffusers Library
Lesson #24
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HuggingFace Diffusers Library - Using Stable Diffusion in Code
Lesson #25
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HuggingFace Diffusers Library - Custom Inference Pipeline Setup
Lesson #26
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HuggingFace Diffusers Library - Custom Inference Pipeline Denoising Loop
Lesson #27
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HuggingFace Diffusers Library - Image-to-Image Generation + SDXL Refiner
Lesson #28
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HuggingFace Diffusers Library - Inpainting + SDXL Refiner
Lesson #29
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HuggingFace Diffusers Library - Inference with Textual Inversion Embeddings
Lesson #30
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HuggingFace Diffusers Library - Inference with Trained LoRA Model
Lesson #31
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