{"id":1468,"date":"2023-05-20T12:19:21","date_gmt":"2023-05-20T12:19:21","guid":{"rendered":"https:\/\/www.analyticsvidhya.com\/datahack-summit-2023\/?page_id=1468"},"modified":"2023-08-04T10:39:53","modified_gmt":"2023-08-04T05:09:53","slug":"exploring-generative-ai-with-diffusion-models","status":"publish","type":"page","link":"https:\/\/www.analyticsvidhya.com\/dhs-2023\/workshop\/exploring-generative-ai-with-diffusion-models\/","title":{"rendered":"Mastering Stable Diffusion models: Training and Industrial Best Practices"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Have you ever used groundbreaking technologies such as MidJourney and Stable Diffusion for your professional and personal work? I am sure you did. These technologies have taken the world by storm and have become part of our lives. Wondering how these technologies work and what makes them so incredibly effective? The answer lies in the power of Diffusion Models.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The diffusion models have become the backbone of modern computer vision! From Dalle 2 to Midjourney, these powerful models have revolutionized the way machines understand and process information. But what exactly are Diffusion Models, and how do they work? Don\u2019t worry! You are at the right place. Welcome to the workshop on Diffusion models!<\/span><\/p>\n<h4><b>Module 0: Embark on an Exciting Journey with Generative AI<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This section is to bootstrap your interest in Generative AI and mentally orient yourself in the landscape of Stable Diffusion.\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Revisit the Prerequisites: DL, ML, Optimization fundamentals needed.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What is Generative AI: Introduction, Landscape, Domains, Sub-Fields.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Why Generative AI: Why it matters, How to augment it, How to Capitalize on it.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">History of Generative AI: Short but Significant history, Milestones, Ahha moments.\u00a0\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Why should you care about the history of Stable Diffusion: Professional Impact, Societal Implications, Technology Reshaping Information Exchange.\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Applications of Generative AI: An Umbrella look at the Concrete applied Use Cases.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gauging the State of Art in Stable Diffusion: What is the forefront and Who is at the forefront.\u00a0<\/span><\/li>\n<\/ul>\n<h4><b>Module 1: Fundamentals of Diffusion Models<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module will be most important in terms of low level understandings of Stable Diffusion and\u00a0 offers an in-depth comprehension of Diffusion Methods. This module will be extremely hands-on and It encompasses:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Explanation of Diffusion Models and their purpose.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Acquire the Intuition behind Stable Diffusion Model.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: Fergus &amp; Zeiler :Visualizing and Understanding CNNs Gradients<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: CLIP (Contrastive Language\u2013Image Pre-training)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding Text and Image Embeddings and Their Mutual Relation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tokens as Embedding: Understanding Nuances.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Detailed analysis of the inner workings of Diffusion Models. Understand Math and how it looks into the code.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Setup the Stable Diffusion Development Environment and attaining GPU\/vCPU stage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understand the training Paradigm of Stable Diffusions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hugging Face\u2019s Diffusers library, Setup of Hugging Face Spaces and API Key.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quick overview of Google Colab for Stable Diffusion.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to Generate Images using State of Art Stable DIffusion Model. Code and Exercise.\u00a0<\/span><\/li>\n<\/ul>\n<h4><b>Module 2: Understanding Deepest levels needed for Diffusion Models<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module builds on top of module 1 and explains various Terminologies and Parameters of Stable Diffusion, which are essential to know while building your own stable diffusion solutions. This module will be much more deeper in terms of explanation of inner workings of Stable Diffusion and will male you think critically about the method of procedures to be followed while building Image based Gen AI solutions. This module will make you learn following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: The VAE (variational autoencoder)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What it means by Denoising Diffusion and Reverse Diffusion.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predicting noise with the UNet.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Removing noise with schedulers.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding Critical Key Concepts:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Pre-trained pipelines<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Guidance scale<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Negative prompts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Finite differencing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Analytic derivatives<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Textual inversion<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Latents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">U-Nets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Text encoders and image encoders<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Contrastive loss function<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">CLIP text encoder<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Deep learning optimizers<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Perceptual loss<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How it all fits into code. Complete Code walkthrough of Stable Diffusion Method.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Train a Stable Diffusion Model on GPU Cloud.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Test your own Diffusion Model For Clothing Articles.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Question and Answers: To make sure, Everybody got the Stable Diffusion Method fully.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<h4><b>Module 3: Stable Diffusion in Practice, Industrial Methods<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module takes us through the applications, which are created using Stable Diffusion and How can we create our own applications using Stable Diffusion methods and solutions. This Module includes:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How Do We Train Stable Diffusion at Scale.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: Progressive Distillation for Fast Sampling of Diffusion Models<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: On Distillation of Guided Diffusion Models<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ethical Implications of Training a Stable Diffusion Models.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Biggest Player contributing to Open Source Gen AI.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to Capitalize and Contribute to Open Source Stable Diffusion.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Should you train Stable Diffusion from Scratch? Yes and No!<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What is considered valuable in Stable Diffusion Domain.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stability.ai: OpenAI, but a better and much more supporting approach.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DreamStudio and StableStudio: Blessings of Stable Diffusion.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stable Diffusion WebUI Introduction and Purpose.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Running Automatic1111 WebUI on Kaggle or any GPU Environment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Checkpoint:\u00a0 Everybody is able to get to WebUI? Provide Assistance.<\/span><\/li>\n<\/ul>\n<h4><b>Module 4: Methods, Jobs and Tools of Stable Diffusion<\/b><b>\u00a0\u00a0<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module introduces the concepts of Various Stable methods and models, which are essential to know and augment in the tools, which can be built for Stable Diffusion. Also, the central idea of this module is to try things by themselves and get comfortable with concepts. In this module we will discuss:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analyzing Prompts, Prompts Matrix.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Prompt Strengths and Weights.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Prompt Editing and Blending for Stable Diffusion.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding and Using XYZ Plots for Stable Diffusion.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hands-On Exercises and Encouraging People to Try the ideas themselves.\u00a0<\/span><\/li>\n<\/ul>\n<h4><b>Module 5: Stable Diffusion Task to Achieve Purpose at hand.\u00a0<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module will introduce and discuss various Stable Diffusion Applications and tasks which are built on this technology with little bit of applied understanding of this technology. This module will consist of:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Introduction: img2img. How to use it?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image In-Painting: Various forms and factors.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image Editing with img2img Sketch.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image Editing with In-Paint Sketch.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CIVITAI: Introduction and fine-tuned models. Model Zoo of Stable Diffusion<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stable Diffusion Extensions.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MidJourney: The Storm, The Story, The Inspiration and Healthy Serendipity.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MidJourney: How to exploit MidJourney for your purpose at hand.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Adobe Firefly: Introduction and Demo<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Microsoft Designer: Introduction and Demo<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">OpenAI DallE-2: Introduction and Demo<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Blue Willow: Introduction, Demo and Warnings.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lexica Art Prompt Learnings.\u00a0<\/span><\/li>\n<\/ul>\n<h4><b>Module 6: State of Art and Cutting Edge of Stable Diffusion<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">This module builds on top of all the previous modules and brings the whole understanding of Stable Diffusion to culmination, where all the participants feel really empowered in the emerging field of Stable Diffusion. This module consists of:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Review: InstructPix2Pix<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">InstructPix2Pix Introduction and Setup.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">InstructPix2Pix Demo and hands-on.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ControlNet: Introduction and Setup.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generating Image Variations with ControlNets.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Awe Inspiring Use Cases of ControlNets.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ControlNets OpenPose: Use of Human pose in Image Editing.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quick Paper Review: Super Resolution\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">UpScaling Images with Ultimate SD UpScale + ControlNets<\/span><\/li>\n<\/ul>\n<h4><b>Module INFINITY: Way Forward for Stable Diffusion<\/b><\/h4>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Most Important:\u00a0 Get your work reviewed by the Instructors post workshop.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bonus: One month of Free mentorship by Instructors over the email.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Where to go from here?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How to keep a tab on this space.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Join our Slack or Discord Community if not done already.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Note: These are tentative details and are subject to change.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Have you ever used groundbreaking technologies such as MidJourney and Stable Diffusion for your professional and personal work? I am sure you did. These technologies have taken the world by storm and have become part of our lives. Wondering how these technologies work and what makes them so incredibly effective? The answer lies in the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1615,"parent":890,"menu_order":-2,"comment_status":"closed","ping_status":"closed","template":"workshop-detail.php","meta":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mastering Stable Diffusion models: Training and Industrial Best Practices - DataHack Summit 2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.analyticsvidhya.com\/dhs-2023\/workshop\/exploring-generative-ai-with-diffusion-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mastering Stable Diffusion models: Training and Industrial Best Practices - DataHack Summit 2023\" \/>\n<meta property=\"og:description\" content=\"Have you ever used groundbreaking technologies such as MidJourney and Stable Diffusion for your professional and personal work? 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