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1 Your Ultimate ComfyUI Toolkit: A Comprehensive Guide to Stable Diffusion for Absolute Beginners
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Join me for the most in-depth beginner's guide to ComfyUI and Stable Diffusion on YouTube! This 2-hour video is designed to take you from zero to hero, covering every aspect of the software you need to know. We'll explore:
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00:00:00 How to install ComfyUI
00:01:09 Install ComfyUI Manager extension
00:02:25 download checkpoint
00:04:40 Check the recommended setting for each checkpoint
00:05:21 Move to the models folder
00:05:33 Add extra folder path for loading models inside ComfyUI, use models from Automatic1111 or others
00:08:08 First Run ComfyUI
00:09:25 Save image node setting
00:10:08 active preview
00:10:32 Check Vram usage for preview
00:12:17 Underclock GPU and keep it cool
00:13:07 How does Stable Diffusion work
00:17:10 Inside of stable diffusion
00:17:52 convolution 3x3
00:19:23 Unet diagram
00:20:05 inside Unet
00:26:04 in background of ComfyUI
00:32:24 Difference between samplers
00:38:40 image to image workflow
00:40:00 denoise effect
00:44:16 Prompt in image-to-image
00:50:49 What is the steps in Ksampler
00:53:47 What is CFG
00:55:57 VAE Encode and Decode
00:57:54 ComfyUI nodes setting
00:59:58 How to copy nodes
01:00:33 Convert to input
01:00:57 Primitive node and data format, Int, float, string, combo, boolean
01:06:35 Load workflow from saved PNG files
01:07:05 How to move a selection of nodes
01:07:51 Grid size and snap
01:08:18 UI setting
01:08:28 default setting for double-click
01:09:03 Save and load Workflow in json format
01:09:19 UI setting
01:09:56 Change line drawing type in ComfyUI
01:10:35 clipspace
01:11:09 Mask Editor
01:12:17 Check CMD window to see the rendering time
01:13:57 What is batch size
01:17:03 What is batch count
01:18:11 Queue setting
01:21:24 Find Converge sampler, a trick to test and compare strings inside ComfyUI
01:27:34 Mute nodes
01:29:53 bypass nodes
01:31:05 reroute node
01:31:25 Adjust prompt attention
01:32:50 Negative prompt compare
01:34:08 Embedding, how to use
01:35:39 What is LORA
01:36:39 How to find the best LORA models
01:37:48 difference in LORA
01:38:15 Load LORA in ComfyUI
01:39:44 LORA trigger prompt
01:40:35 LORA for contrast
01:42:00 LORA for line art drawing
01:45:02 What is HyperSD
01:48:31 How to install missing nodes in ComfyUI
01:49:21 1 STEP, Generate an image on the fly
01:50:49 HyperSD, test CFG, and negative prompt
01:52:21 HyperSD implementation as LORA
01:54:46 1 Step, LORA
01:57:07 HyperSD Best implementation
01:57:55 Real-time painting by using HyperSD
***********************************
The fundamentals of Stable Diffusion: What it is, how it works, and why it's revolutionizing AI art.
Getting started with ComfyUI: Installation, setup, and navigating the interface.
Essential settings: Understanding the key parameters and how to adjust them for different results.
Deep dive into parameters: A closer look at advanced settings, explained in simple terms. This includes an exploration of ComfyUI's node-based architecture and how it interacts with Stable Diffusion.
Understanding the core concepts: We'll break down samplers, schedulers, steps, denoising, and other essential terms in a way that's easy to understand.
Tips and tricks: My personal insights and best practices for getting the most out of ComfyUI.
This is the only beginner's guide to ComfyUI you'll ever need. Whether you're an aspiring artist, a curious tech enthusiast, or just someone who wants to have fun with AI, this video is your ultimate starting point.
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URL
************
00:00:00 How to install ComfyUI
00:01:09 Install ComfyUI Manager extension
00:02:25 download checkpoint
00:04:40 Check the recommended setting for each checkpoint
00:05:21 Move to the models folder
00:05:33 Add extra folder path for loading models inside ComfyUI, use models from Automatic1111 or others
00:08:08 First Run ComfyUI
00:09:25 Save image node setting
00:10:08 active preview
00:10:32 Check Vram usage for preview
00:12:17 Underclock GPU and keep it cool
00:13:07 How does Stable Diffusion work
00:17:10 Inside of stable diffusion
00:17:52 convolution 3x3
00:19:23 Unet diagram
00:20:05 inside Unet
00:26:04 in background of ComfyUI
00:32:24 Difference between samplers
00:38:40 image to image workflow
00:40:00 denoise effect
00:44:16 Prompt in image-to-image
00:50:49 What is the steps in Ksampler
00:53:47 What is CFG
00:55:57 VAE Encode and Decode
00:57:54 ComfyUI nodes setting
00:59:58 How to copy nodes
01:00:33 Convert to input
01:00:57 Primitive node and data format, Int, float, string, combo, boolean
01:06:35 Load workflow from saved PNG files
01:07:05 How to move a selection of nodes
01:07:51 Grid size and snap
01:08:18 UI setting
01:08:28 default setting for double-click
01:09:03 Save and load Workflow in json format
01:09:19 UI setting
01:09:56 Change line drawing type in ComfyUI
01:10:35 clipspace
01:11:09 Mask Editor
01:12:17 Check CMD window to see the rendering time
01:13:57 What is batch size
01:17:03 What is batch count
01:18:11 Queue setting
01:21:24 Find Converge sampler, a trick to test and compare strings inside ComfyUI
01:27:34 Mute nodes
01:29:53 bypass nodes
01:31:05 reroute node
01:31:25 Adjust prompt attention
01:32:50 Negative prompt compare
01:34:08 Embedding, how to use
01:35:39 What is LORA
01:36:39 How to find the best LORA models
01:37:48 difference in LORA
01:38:15 Load LORA in ComfyUI
01:39:44 LORA trigger prompt
01:40:35 LORA for contrast
01:42:00 LORA for line art drawing
01:45:02 What is HyperSD
01:48:31 How to install missing nodes in ComfyUI
01:49:21 1 STEP, Generate an image on the fly
01:50:49 HyperSD, test CFG, and negative prompt
01:52:21 HyperSD implementation as LORA
01:54:46 1 Step, LORA
01:57:07 HyperSD Best implementation
01:57:55 Real-time painting by using HyperSD
***********************************
The fundamentals of Stable Diffusion: What it is, how it works, and why it's revolutionizing AI art.
Getting started with ComfyUI: Installation, setup, and navigating the interface.
Essential settings: Understanding the key parameters and how to adjust them for different results.
Deep dive into parameters: A closer look at advanced settings, explained in simple terms. This includes an exploration of ComfyUI's node-based architecture and how it interacts with Stable Diffusion.
Understanding the core concepts: We'll break down samplers, schedulers, steps, denoising, and other essential terms in a way that's easy to understand.
Tips and tricks: My personal insights and best practices for getting the most out of ComfyUI.
This is the only beginner's guide to ComfyUI you'll ever need. Whether you're an aspiring artist, a curious tech enthusiast, or just someone who wants to have fun with AI, this video is your ultimate starting point.
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