Diffusion Mastery: Flux, Stable Diffusion, Midjourney & More
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 20.52 GB | Duration: 17h 27m
AI Images and Videos: Stable Diffusion, ComfyUI, Forge WebUI, Runway, MidJourney, DALL-E, Adobe Firefly, Flux, Leonardo
[b]What you'll learn[/b]
Introduction to Diffusion Models: Basics and first steps with diffusion models
Prompt Engineering: Optimizing prompts for various platforms like DALL-E, MidJourney, Flux, and Stable Diffusion
Stable Diffusion & Flux: Using open-source models, negative prompts, LoRAs for SDXL or Flux
Guides for installing and using tools like Fooocus, ComfyUI, Forge, locally or in the cloud
Flux: Usage for inpainting, IP Adapter, ControlNets, custom LoRAs, and more
Training custom models & LoRAs, checkpoints, encoders, inpainting and upscaling, multiline prompts for creative image generation
Creative Applications: Creating consistent characters, AI influencers, product placements, changing clothes and styles (e.g., anime)
Specialized workflows and tools: Using tools like ComfyUI, Forge, Fooocus, integrating ControlNets, advanced prompting, and logo design
Platforms: Utilizing Leonardo AI, MidJourney, Ideogram, Adobe Firefly, Google Colab, SeaArt, Replicate, and more
Deepfakes: Faceswapping in photos and videos, installing programs for live deepfakes in Python, voice cloning, and legal concerns
AI voices and music: Creating audiobooks, sound effects, and music with tools like Elevenlabs, Suno, Udio, and OpenAI API
AI videos: Producing AI films with Hotshot, Kling AI, Runway, Pika, Dreammachine, Deforum, WrapFusion, Heygen, and more
Upscaling and sound enhancement: Improving image, video, and sound quality, higher resolution, or converting to vector formats
Ethics and security: Legal frameworks and data protection in the use of diffusion models
[b]Requirements[/b]
No prior knowledge or technical expertise required, everything will be shown step by step.
[b]Description[/b]
Do you want to understand how diffusion models like Stable Diffusion, Flux, Runwai ML, Pika, Kling AI or MidJourney are revolutionizing processes and how you can use this technology yourself?Dive into the fascinating world of diffusion models, the technology behind impressive AI-generated images, videos, and music. If you're curious about how tools like DALL-E, Stable Diffusion, Flux, Forge, Fooocus, Automatic 1111, or MidJourney work and how to use them to their fullest potential, this course is perfect for you!In this comprehensive course, you'll learn both the basics and advanced techniques of diffusion models. From creating your first AI-generated image to advanced prompt engineering and complex applications like inpainting, ControlNet, and training your own models and LoRAs, this course offers everything you need to become an expert in diffusion models.What you can expect in this course:Basics and first steps with diffusion models: Learn how diffusion models work and create your first image with DALL-E.Prompt Engineering: Master the art of crafting the perfect prompts and optimize them for platforms like DALL-E, MidJourney, Flux, or Stable Diffusion, and even create your own GPTs.Deep dive into Stable Diffusion: Use open-source models, negative prompts, LoRAs for SDXL or Flux, and get detailed guides on installing and using Fooocus, ComfyUI, Forge, and more, both locally and in the cloud.Flux: Learn how to use the model for inpainting, IP Adapter, ControlNets, your own LoRAs, and more.Advanced Techniques: Create and train your own models & LoRAs, find checkpoints and encoders, use inpainting and upscaling, and discover how to generate creative images using multiline prompts.Creative and Practical Applications: Develop consistent characters, AI influencers, design product placements, learn how to change and promote clothing, or transform photos into anime styles-there are no limits to your creativity.Specialized Workflows and Tools: Explore tools like ComfyUI, Forge, Fooocus, and more. Integrate ControlNets, use advanced prompting techniques, enhance or swap faces, hair, legs, and hands, or design your own logos.Platforms: Understand platforms like Leonardo AI, MidJourney, Ideogram, Adobe Firefly, Google Colab, SeaArt, Replicate, and more.Deepfakes: Learn how to perform faceswaps in photos and videos, install Python programs for live deepfakes, clone voices, and understand the potential risks.AI voices and music: Create entire audiobooks, sounds, melodies, and songs using tools like Elevenlabs, Suno, Udio, ChatTTS, and the OpenAI API.AI videos: Become an AI film producer with tools like Hotshot, Kling AI, Runway, Pika, Dreammachine, Deforum, WrapFusion, Heygen, and more.Upscaling & Sound Improvement: Learn how to enhance images, videos, and voices with better quality, higher resolution, or convert them into vector files.Ethics and Security: Understand the legal frameworks and data protection aspects important when using diffusion models.Whether you have experience with AI or are just starting out, this course will bring you up to speed and equip you with the skills to implement innovative projects using diffusion models.Sign up today and discover how diffusion models are changing the way we create images, videos, and creative content!
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 My Goal and a Few Tips
Lecture 3 Explanation of the Links
Lecture 4 Important Links
Section 2: How Diffusion Models Work: Examples & Your First Image with DALL-E
Lecture 5 What Will We Learn in This Section?
Lecture 6 Examples of Diffusion Models and Their Applications
Lecture 7 Diffusion Models in Detail: Embeddings, Tensors, RGB Codes & More
Lecture 8 Create a ChatGPT Account and Your First Image with DALL-E
Lecture 9 Recap: What You Should Do NOW
Section 3: Basics & Prompt Engineering for Diffusion Models: DALL-E as Example
Lecture 10 What Will Be Covered in This Section?
Lecture 11 Basics of Prompt Engineering for Diffusion Models (in DALL-E)
Lecture 12 How to Structure Prompts
Lecture 13 DALL-E Is Simple Because ChatGPT Helps
Lecture 14 Magic Words for Diffusion Models
Lecture 15 Optimizing Aspect Ratios for Different Platforms
Lecture 16 Using Reference Images in DALL-E
Lecture 17 Image Editing and Inpainting with DALL-E in ChatGPT
Lecture 18 Custom Instructions for Better Prompts
Lecture 19 My Custom Instructions
Lecture 20 Develop Your Own GPT to Optimize Prompts
Lecture 21 Training Data from My GPT & Link to GPT
Lecture 22 The Gen_ID in DALL-E Is Like the Seed: Create Consistent Characters
Lecture 23 Recap: What You Should Remember!
Section 4: Basics of Stable Diffusion: Negative Prompts, Models, LoRAs & First Images
Lecture 24 What Is This Section About?
Lecture 25 Stable Diffusion & Flux: Features of Open-Source Diffusion Models
Lecture 26 Using Stable Diffusion in Fooocus with Google Colab or locally
Lecture 27 Fooocus Basics: Interface, First Steps, Settings, and Images
Lecture 28 Stable Diffusion Prompting: Order, Negative Prompts, Brackets & Weighting
Lecture 29 Full Body Views with Aspect Ratio, Prompts & Negative Prompts
Lecture 30 Finding Inspiration on Lexica, SeaArt, Leonardo and Prompt Hero
Lecture 31 More Prompt Engineering Tips for Stable Diffusion and find Styles
Lecture 32 Create SDXL Prompts with Your Own GPT
Lecture 33 Summary: Important Points to Remember
Section 5: Fooocus for Advanced Users: Inpainting, Input Image, Upscaling, LoRAs & More
Lecture 34 What Will We Learn in This Section?
Lecture 35 Multiline Prompts in Stable Diffusion: Blending Images Together
Lecture 36 Support for Arrays and Brackets in Multi-Prompting
Lecture 37 Upscaling Images and Creating Variations
Lecture 38 Enhancing Faces, Eyes, Hands, Clothes, and Details with Enhance
Lecture 39 Stable Diffusion Inpainting Basics
Lecture 40 Stable Diffusion Outpainting Basics
Lecture 41 Improving Hands with Inpainting & perspecitve field
Lecture 42 Input Image and Input Prompt
Lecture 43 Controlnet Pyra Canny: Pose to Image
Lecture 44 ControlNet Depth to Image: Implementing Poses and Depths with CPDS
Lecture 45 FaceSwap and Combining ControlNets
Lecture 46 Consistent Characters: Illustrating a Picture Book, for Example, with Animals
Lecture 47 Installing Checkpoints & LoRAs Locally
Lecture 48 Checkpoints & LoRAs in Google Colab: SDXL Turbo for FAST Generations
Lecture 49 Recap: What You Should Remember
Section 6: Stable Diffusion Pro: Consistent Characters, Product Placements, Clothing, etc.
Lecture 50 What Will We Learn in This Section?
Lecture 51 Creating Perfect Consistent Characters and Optimizing FaceSwap
Lecture 52 FaceSwap with Advanced Inpainting and Developer Debug Mode
Lecture 53 FaceSwap from Different Angles with Lineart Grid
Lecture 54 Consistent Characters with Grids for Special Poses & Stories
Lecture 55 Creating & Changing Clothing with Masks & Inpainting: AI can Market Cloths
Lecture 56 Real live Product Placements and Better Understanding Masks
Lecture 57 Perfect Hair with Inpainting, Image Prompt, and Masks
Lecture 58 Describe & Converting Photos to Anime Style and Vice Versa
Lecture 59 Using Metadata to Recreate Images
Lecture 60 Text in Stable Diffusion
Lecture 61 Summary: Important Points to Remember
Section 7: Train Your Own SDXL LoRa: On Your Face, on AI-Influencer or on Animals
Lecture 62 What Will We Learn in This Section? Training Stable Diffusion LoRAs!
Lecture 63 Creating a Dataset to train your SDXL model
Lecture 64 Quick Tipp on your Dataset for SDXL Dreambooth training
Lecture 65 Make a Huggingface token: API Key for Pushing Models to Huggingface
Lecture 66 Train your Stabe Diffusion XL LoRA with Dreambooth inside Google Colab
Lecture 67 Using SDXL Kohya LoRA in Fooocus
Lecture 68 Recap: What You Should Remember!
Section 8: Flux.1 Basics, different option and running it locally in WebUI Forge
Lecture 69 What Is This About? Flux in Forge!
Lecture 70 Information About Flux and Black Forest Labs
Lecture 71 Different Ways to Efficiently Use Flux.1 Pro, Dev, and Schnell
Lecture 72 Installing Forge WebUI: Using Stable Diffusion & Flux Easily
Lecture 73 Forge Interface: Using Stable Diffusion & LoRas in Forge WebUI
Lecture 74 Flux in of Forge: Find the Rigth Model (GGUF, NF4, FP16, FP8, Dev, Schnell)
Lecture 75 Prompt Engineering for Flux
Lecture 76 LoRas for Flux
Lecture 77 Upscaling with Forge WebUI
Lecture 78 Inpainting and img2img with Flux in Forge WebUI
Lecture 79 Important Points to Remember
Section 9: Basics in ComfyUI with Flux.1 and more
Lecture 80 What Is This Section About? ComfyUI Basics
Lecture 81 Installing ComfyUI: Using Flux and Stable Diffusion Locally
Lecture 82 Using SDXL Models in ComfyUI
Lecture 83 Prompt Engineering Info for ComfyUI, Flux & Stable Diffusion
Lecture 84 Using SDXL LoRAs, Creating ComfyUI Workflows and understand Metadata
Lecture 85 Installing the ComfyUI Manager from GitHub
Lecture 86 Using Flux Schnell and Dev Locally in ComfyUI
Lecture 87 Using Flux LoRAs in ComfyUI
Lecture 88 Using Flux for Low-End PCs: GGUF and Q2-Q8 Models
Lecture 89 Use my ComfyUI Workflows and find new ones
Lecture 90 ComfyUI Workflows
Lecture 91 Recap: What You Should Remember
Section 10: Train your own Flux LoRa
Lecture 92 What Is This Section About? Flux LoRa training for Logos & more
Lecture 93 Flux.1 dev: Train a LoRa Model on Replicate, FalAI or locally
Lecture 94 Use the Flux LoRa in Replicate for Inference
Lecture 95 Use Your LoRa Locally in ComfyUI or Forge WebUI
Lecture 96 Recap: What You Should Remember about Flux LoRa Training
Section 11: ComfyUI & Flux Expert: ControlNets, IP-Adapter, Upscaling, Videos & more
Lecture 97 What Will We Learn in This Section about ComfyUI
Lecture 98 Using ControlNet for Flux in ComfyUI: Canny, Depth and Hed
Lecture 99 SDXL Controlnets and Workflows for ComfyUI
Lecture 100 Flux IP Adapter: Consistent Character with just 1 Input Image
Lecture 101 Ip Adapter for Stable Diffusion and some thougths
Lecture 102 Upscaling Workflows in ComfyUI with Flux, SDXL & SUPIR
Lecture 103 LivePortrait in ComfyUI: Animate Facial expression
Lecture 104 Examples of ComfyUI Capabilities: Videos, FaceSwap, Deforum & more
Lecture 105 Important Points to Remember
Section 12: Web Platforms for Stable Diffusion like Leonardo or SeaArt
Lecture 106 There Are Thousands of Ways to Use Stable Diffusion
Lecture 107 Leonardo AI: Using Stable Diffusion Easily and Fast with Controlnets & more
Lecture 108 SeaArt: Especially Suited for FaceSwap in Videos
Lecture 109 Ideogram: Not really Stable Diffusion
Lecture 110 Important Points to Remember
Section 13: MidJourney Basics: A User-Friendly & Powerful Diffusion Model
Lecture 111 What Will You Learn in This Section about Midjourney?
Lecture 112 MidJourney Signup, Interface and Overview
Lecture 113 Prompt Engineering and Settings in MidJourney
Lecture 114 Upscaling, Variations, Pan & Zoom in MidJourney
Lecture 115 Image Editing with MidJourney: Inpaint & Outpaint in the Editor
Lecture 116 Prompt Generators for MidJourney
Lecture 117 What You Should Remember
Section 14: MidJourney for Advanced Users
Lecture 118 What Will We Learn in This Section?
Lecture 119 Consistent Characters & Images in Prompts (Cref, Sref, Image Prompt)
Lecture 120 Image Weights: Assign Different Weights to Images and Text
Lecture 121 Multiprompting and Prompt Weights in MidJourney
Lecture 122 The -no Command, Multiprompts & Weights (Negative Prompts?)
Lecture 123 Describe Function: MidJourney Helps with Your Prompts
Lecture 124 Tip: Tiling for Creating Repeating Patterns
Lecture 125 Creating Text in MidJourney
Lecture 126 Permutation Prompting and the Seed in MidJourney
Lecture 127 STOP, Repeat, Quality & Remaster: Hidden Tools in MidJourney
Lecture 128 Videos in MidJourney
Lecture 129 Important Summary for MidJourney: What You Should Remember!
Section 15: Adobe Firefly
Lecture 130 Adobe Firefly vs. DALL-E, MidJourney & Stable Diffusion
Lecture 131 Basics of Adobe Firefly
Section 16: AI Videos from Text, Videos, Images, and Individual Frames
Lecture 132 What Will Be Covered in This Section?
Lecture 133 AI Videos: The Overview - What's Available & Creating Videos with FLUX
Lecture 134 Hotshot: Text to Video Made Simple and Fast
Lecture 135 Kling AI: Text-to-Video, Image-to-Video, Motion Brush & Viral Aging Videos
Lecture 136 DreamMachine from LumaLabs: Recreating Viral Videos
Lecture 137 RunwayML: Everything You Need to Know
Lecture 138 Pika Labs: From Standard to Video Editing and LipSync
Lecture 139 Heygen: AI Avatars, AI Clones, Voice Translations, and More
Lecture 140 Stable Diffusion Videos: Deforum and WrapFusion
Lecture 141 Stable WrapFusion in Google Colab
Lecture 142 Overview of Deforum Diffusion to make Ai-Animation
Lecture 143 Mkae AI Music Videos with Deforum Diffusion
Lecture 144 Create 3D Animation in Deforum Stable Diffusion
Lecture 145 Recap of AI Videos
Section 17: AI-Generated Voices, Music & DeepFakes
Lecture 146 Diffusion Models Can Generate Voices, Sounds & Music: An Overview
Lecture 147 ElevenLabs TTS: Everything You Need to Know (Audio, Sound, Voice Cloning & more)
Lecture 148 Open-Source Text-to-Speech Solution: ChatTTS
Lecture 149 Real-Time Deepfake with Webcam, Images & Videos Deep-Live-Cam Locally in Python
Lecture 150 Steps for Deepfake (Copy my Code Lines)
Section 18: Overview of Upscaling Images, Videos, Vectors & Audio Enhancement
Lecture 151 Upscaling Images, Videos, and Vectors
Lecture 152 Improving Audio Quality with Adobe Podcast
Section 19: Diffusion Safety: Copyright, NSFW Content, Privacy & More
Lecture 153 Copyright & Intellectual Property: Can You Sell Outputs & Create NSFW Content
Lecture 154 Privacy for Personal Content
Section 20: Impact of Diffusion on the Future, Society & Job Market
Lecture 155 The Future with Diffusion Models
Anyone who wants to learn about AI,Technology enthusiasts who want to stay at the forefront of the latest AI developments,Artists and creatives looking to explore new dimensions of art with AI,Developers and designers who want to expand the possibilities of diffusion models
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