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 Git, Python, Comfy UI, and Krita. He also covers installing the CR AI diffusion plugin and setting up the Comfy UI manager for convenient access to scripts. The video further demonstrates how to configure Krita with AI image generation, install various models and workflows from civit.ai and openart.ai, and use custom nodes for live rendering and animation. Additional tips on managing CPU usage and installing necessary build tools are provided for a complete setup.
Takeaways
- 😀 The tutorial provides a step-by-step guide on setting up AI tools for digital art creation.
- 🛠️ Essential software includes Git, Python 3.10, and Comfy UI, which can be downloaded from their respective websites.
- 🎨 Krita is recommended as a powerful painting program, and the CR AI diffusion plugin enhances its capabilities.
- 🔗 GitHub is a central resource for downloading additional tools like the Comfy UI manager and AI diffusion plugins.
- 📂 The tutorial instructs on organizing files and folders for a streamlined workflow.
- 🔄 The importance of installing Python and adding it to the system path is emphasized for running AI plugins.
- 🖼️ Krita's settings are configured to integrate with AI diffusion plugins for image generation.
- 🔧 Custom nodes and models can be installed via Git clone commands for advanced functionalities.
- 👁️🗨️ The video demonstrates how to use custom nodes for live rendering and real-time AI image generation.
- 🎥 An extra workflow for creating animated blinking effects is showcased, requiring specific models and nodes.
- ⚙️ The tutorial concludes with the recommendation to install Visual Studio 2022 for build tools, which are necessary for some custom node installations.
Q & A
What is the first software that needs to be downloaded according to the tutorial?
-The first software to be downloaded is Git, which can be obtained from their homepage.
Which version of Python is recommended for the setup in the tutorial?
-The tutorial recommends downloading Python 3.10.6.
Where can the Comfy UI be downloaded from?
-Comfy UI can be downloaded from its GitHub repository, where there is a prominent download link for a zip file.
What is Krita and where can it be downloaded?
-Krita is a painting program that can be downloaded from its official download section.
What is the purpose of the CR AI diffusion plugin and where can it be obtained?
-The CR AI diffusion plugin is a necessary component for Krita that enhances its AI capabilities. It can be downloaded from its GitHub page.
Why is the Comfy UI Manager useful in this setup?
-The Comfy UI Manager is an extension that simplifies the process by automating the installation of various components.
How does one ensure that Python is properly installed with path integration?
-During the installation of Python, one should check the 'Add to PATH' checkbox to ensure that Python is integrated into the system path.
What is the significance of extracting the CR AI diffusion zip file and copying its contents?
-Extracting the CR AI diffusion zip file and copying its contents to the appropriate Krita plugin folder is necessary for the AI features to function within Krita.
What does the AI image diffusion plugin do in Krita?
-The AI image diffusion plugin in Krita allows for AI-assisted image generation and editing within the software.
How can custom nodes be installed in Comfy UI using Git?
-Custom nodes can be installed in Comfy UI by using the 'git clone' command followed by the repository link in the command prompt when navigated to the Comfy UI custom nodes directory.
What is the purpose of the 'Capture Cam' program mentioned in the tutorial?
-The 'Capture Cam' program is used to capture regions, windows, or webcam feeds, and render them through Comfy UI for real-time AI processing.
Outlines
💻 Setting Up AI Essentials
The paragraph introduces a tutorial on setting up AI tools. It starts with downloading Git and Python 3.10.6 from their respective official sites. The user is guided to download Comfy UI from GitHub and a painting program called K-3.1.6. Additionally, a CR AI diffusion plugin is required, which is also downloaded from GitHub. The tutorial suggests downloading a Comfy UI manager to automate the installation process. The paragraph concludes with instructions to extract the Comfy UI zip file and proceed with the setup.
🎨 Configuring AI Tools and Installing Models
This section details the configuration of AI tools. It begins with installing Python and setting up K-3.1.6, ensuring that the 'Add to Path' option is selected. The tutorial then instructs on setting up the CR AI diffusion plugin by copying its files to specific directories. The user is guided to rename and move the Comfy UI folder to a designated 'AI' folder on the C drive. The paragraph also covers the installation of various AI models and workflows from civit.ai and openart.ai, emphasizing the importance of keeping the file organization simple and clear.
🖥️ Advanced Setup with Custom Nodes
The paragraph discusses advanced setup procedures, including installing custom nodes using Git. It explains how to clone repositories for custom nodes and set up live rendering capabilities. The tutorial also covers the installation of an LCM model and a line art Laura model from specific sources. The user is guided to organize these models in separate folders within the Comfy UI models directory. The paragraph ends with instructions on adjusting settings like strength to achieve the desired rendering results.
🌳 Live Mode and AI Patching
This section focuses on using live mode and AI patching. It explains how to set up live mode in the AI tools, adjusting sampler settings, and using the 'play' button to render images in real-time. The tutorial also covers the process of patching areas of an image with AI, allowing for modifications like adding elements to a scene. The paragraph provides a brief troubleshooting guide for issues that might arise during live mode setup.
🔧 Managing CPU Usage and Custom Node Setup
The paragraph discusses managing CPU usage when running custom nodes. It provides a method to control CPU load by adding a delay node to the workflow. The user is guided to download and implement a text file that helps in reducing CPU usage. The tutorial also covers the installation of a workflow that enables creating animated blinking effects, detailing the necessary nodes and settings required for this feature.
🎭 Animating with Custom Nodes and Workflows
This section delves into animating with custom nodes and workflows. It explains how to use a Blink workflow for creating animated profile pictures. The tutorial covers the installation of necessary models and nodes, including the IP adapter and clip vision models. The user is guided through the process of downloading, renaming, and organizing these models in the correct folders. The paragraph concludes with a demonstration of the Blink workflow and tips for achieving better results.
🛠️ Finalizing Setup with Visual Studio Build Tools
The final paragraph wraps up the tutorial by discussing the installation of Visual Studio 2022 Community Edition. It highlights the importance of having build tools for setting up some custom nodes. The tutorial provides guidance on selecting the necessary components during the installation, emphasizing the selection of Python development tools, desktop development with C++, and build tools. The paragraph concludes with a summary of the entire setup process and a thank you note to the viewers.
Mindmap
Keywords
💡Git
💡Python
💡Comfy UI
💡Krita
💡CR AI Diffusion Plugin
💡Comfy UI Manager
💡AI Image Diffusion
💡Custom Nodes
💡LCM Model
💡Live Mode
💡Visual Studio Build Tools
Highlights
Tutorial on setting up AI tools for digital art creation.
Essential tools include Git, Python, Comfy UI, and Krita.
Download Git from the official homepage and install it.
Python 3.10.6 is required, download the recommended installer.
Comfy UI can be downloaded from GitHub as a zip file.
Krita is a powerful painting program, download it from the official site.
CR AI diffusion plugin is needed for Krita, also from GitHub.
Comfy UI Manager is an extension for easier management of tools.
A batch file is provided to automate the installation process.
Extract and install Comfy UI, then move it to the C drive for organization.
Set up Krita with the CR AI diffusion plugin for AI image generation.
Download models and workflows from civit.ai for AI image generation.
Custom nodes can be installed using Git for additional functionality.
Live mode in Comfy UI allows real-time rendering of webcams or other inputs.
Control CPU usage with a custom script to balance performance and system load.
Create animated blinking effects with a specialized workflow.
Visual Studio 2022 with build tools is required for some custom node installations.
The video aims to demystify the setup process for AI in digital art tools.