SDXL comfyUI + Krita AI setup tutorial + Extra stuff
TLDRIn this tutorial, Mushy guides viewers through setting up AI tools for digital art, including downloading and installing essential software like Git, Python, Comfy UI, and Krita. The video covers additional steps to install the CR AI diffusion plugin and Comfy UI Manager, and provides tips for configuring Krita and Comfy UI for AI image generation. Extra features like custom nodes and live rendering are also explored, making the process less daunting for those new to AI in digital art.
Takeaways
- 💻 **Git and Python Installation**: Begin by downloading Git and Python 3.10 from their official websites.
- 📦 **Comfy UI Setup**: Download Comfy UI from GitHub and extract the ZIP file for installation.
- 🎨 **Krita Download**: Acquire Krita, a digital painting program, from its download section.
- 🔌 **Plugin Installation**: Install the CR AI diffusion plugin from GitHub to enhance Krita's capabilities.
- 🛠️ **Comfy UI Manager**: Utilize the Comfy UI Manager for streamlined plugin and model management.
- 🗂️ **Folder Organization**: Organize files by creating directories such as 'AI' on the C drive for structured management.
- 🖼️ **Model and Workflow Downloads**: Obtain necessary models and workflows from platforms like civit.ai and Hugging Face.
- 🔄 **Python Plugin Manager**: Configure the Python plugin manager within Krita to enable AI image diffusion.
- 🔧 **Customization and Tweaking**: Customize settings like steps, configuration, and noise levels for image generation.
- 📸 **Live Mode and Patching**: Use live mode for real-time image rendering and patching to edit or refine images on-the-fly.
- 🎥 **Extra Features**: Explore additional features like custom nodes for live rendering and animated workflows for creating dynamic images.
Q & A
What is the purpose of the tutorial mentioned in the title?
-The purpose of the tutorial is to guide users on how to set up AI tools and software, including comfyUI and Krita AI, as quickly as possible.
Which version of Git is recommended to download according to the transcript?
-The recommended version of Git to download is not specified in the transcript.
What is the recommended Python version for the setup described in the video?
-The recommended Python version for the setup is Python 3.10.6.
Where can one find the comfyUI GitHub repository mentioned in the transcript?
-The comfyUI GitHub repository can be found by scrolling down to the install section on the GitHub page where a big download link for the zip file is provided.
How does one install Krita as per the instructions given in the video?
-To install Krita, one needs to go to the download section on the Krita website and download the installer.
What is the CR AI diffusion plugin and where can it be downloaded from?
-The CR AI diffusion plugin is a tool that enhances Krita with AI capabilities. It can be downloaded from the GitHub page where the download link is provided after scrolling down.
What is the Comfy UI manager and how does it simplify the setup process?
-The Comfy UI manager is an extension that automates the installation of various scripts and tools, making the setup process more convenient.
How does one set up the AI image diffusion plugin within Krita?
-To set up the AI image diffusion plugin in Krita, one needs to go to the settings, configure, scroll down to the Python plugin manager, check the AI image diffusion, and then restart Krita.
What is the purpose of the 'Juggernaut Xcel' model mentioned in the video?
-The 'Juggernaut Xcel' model is one of the AI models that can be installed for use with comfyUI, enhancing the AI image generation capabilities.
How can one install custom nodes using Git as described in the tutorial?
-To install custom nodes using Git, one can copy the Git clone link, navigate to the comfyUI custom nodes folder in the command prompt, and use the 'git clone' command followed by the link.
What is the 'capture cam' program and how does it work?
-The 'capture cam' program is a tool that allows users to capture a region, window, webcam, or capture card, and then render it through comfyUI in real-time.
How does one remove the capture watermark when using the 'capture cam' tool?
-To remove the capture watermark, one needs to edit the 'cam.dopy' file in the custom nodes folder, find the line with 'text overlay', and replace it with two quotation marks.
Outlines
💻 Setting Up AI Essentials
The paragraph introduces a tutorial on setting up AI tools. The host, Mushy, outlines the need to download Git, Python 3.10.6, and Comfy UI from their respective websites. Additionally, a painting program called K is mentioned, along with its CR AI diffusion plugin available on GitHub. The paragraph concludes with the instruction to download a Comfy UI manager, which automates the installation of various components.
🔧 Installing and Configuring AI Tools
This section details the installation process of the previously mentioned AI tools. It includes extracting the Comfy UI zip file, installing Git, and setting up Python with 'add to path' enabled. The paragraph also covers the installation of K and its CR AI diffusion plugin, and the setup of the Comfy UI manager. The host guides viewers on how to configure K's settings to integrate AI image generation.
🎨 Customizing AI Art Generation
The focus of this paragraph is on customizing AI art generation. It explains how to install various models from civit.ai.com and openart.ai, and how to set up the server path for Comfy UI. The host also demonstrates how to install an LCM model and a line art Laura model, and how to organize these in the Comfy UI models folder. The paragraph ends with a brief on setting up style presets and strength in Comfy UI.
🖼️ Advanced AI Image Manipulation
This paragraph delves into advanced AI image manipulation techniques. It discusses how to use LCM to refresh folders, live mode for real-time image generation, and sampler settings for live mode. The host also shows how to patch areas of an image with AI and introduces the toy XYZ nodes for custom functionalities.
📹 Live Rendering with Custom Nodes
The paragraph introduces the use of custom nodes for live rendering. It explains how to install and use a capture cam program that can capture regions, windows, or webcams. The host demonstrates how to remove the capture watermark and control CPU usage with a delay node. The paragraph also touches on the installation of a workflow for creating animated blinking profile pictures.
🔗 Managing AI Nodes and Workflows
This section covers the management of AI nodes and workflows. It details the process of installing custom nodes using GitHub links and the Comfy UI manager. The host also shows how to set up a Blink workflow for creating animated blinking images and the necessary steps to prepare the environment for this workflow, including downloading and setting up various models and checkpoints.
🛠️ Finalizing AI Setup with Visual Studio
The final paragraph wraps up the tutorial by discussing the installation of Visual Studio 2022, which is required for some custom nodes that need build tools. The host guides viewers through the installation process, emphasizing the importance of selecting build tools and desktop development with C++ during the setup. The paragraph concludes with a thank you note and a sign-off.
Mindmap
Keywords
Git
Python
Comfy UI
Krita
CR AI Diffusion Plugin
Comfy UI Manager
AI Image Diffusion
Models
Custom Nodes
Live Mode
Visual Studio 2022
Highlights
Tutorial on setting up AI tools for digital art creation.
Git is required for the setup, download it from the official homepage.
Python 3.10.6 is needed, download the recommended installer.
Comfy UI can be downloaded from GitHub for easier AI integration.
Krita is a powerful painting program, download it from the official site.
CR AI diffusion plugin is essential for Krita, download from GitHub.
Comfy UI manager facilitates the installation of scripts and models.
Extract and install Comfy UI, then move it to the C drive for organization.
Install Krita and set up the necessary folders for plugins.
Copy the CR AI diffusion files to the appropriate Krita plugin directory.
Configure Krita to use the AI image diffusion plugin.
Download models and workflows from civit.ai for enhanced AI capabilities.
Install custom nodes using Git for additional functionality in Comfy UI.
Set up a live rendering system to process webcam or screen captures.
Control CPU usage with custom scripts to balance performance and system load.
Create animated effects like blinking with specific workflows.
Visual Studio 2022 with build tools is required for some custom node installations.
The video provides a comprehensive guide to setting up a stable diffusion AI system for digital art.