SDXL comfyUI + Krita AI setup tutorial + Extra stuff

MushieKings
23 Jan 202445:22

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

00:00

💻 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.

05:01

🎨 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.

10:02

🖥️ 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.

15:07

🌳 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.

20:12

🔧 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.

25:14

🎭 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.

30:16

🛠️ 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

Git is a version control system used for tracking changes in source code during software development. In the context of the video, Git is essential for downloading and managing the AI tools and custom nodes required for setting up the AI environment. The script mentions downloading Git from its homepage and using it to clone repositories, such as custom nodes for Comfy UI.

💡Python

Python is a high-level programming language widely used for various applications, including AI and machine learning. In the video, Python is a prerequisite for running the AI tools and scripts. The tutorial instructs viewers to download specific versions of Python and install them with the 'Add to PATH' option to ensure proper functionality.

💡Comfy UI

Comfy UI is a user interface for AI tools that simplifies the process of setting up and using AI models. The video provides a step-by-step guide on downloading Comfy UI from GitHub, extracting the zip file, and setting it up on the user's computer. It's highlighted as a crucial component for managing AI models and plugins.

💡Krita

Krita is a professional FREE and open-source painting program. The tutorial includes instructions on downloading Krita and installing the CR AI diffusion plugin, which is used for AI-assisted image generation within the Krita environment. Krita serves as the painting software where AI enhancements are applied.

💡CR AI Diffusion Plugin

The CR AI Diffusion Plugin is a specific plugin for Krita that enables AI-assisted image generation. The video script details the process of downloading this plugin from GitHub and installing it to enhance Krita's capabilities with AI features, such as image diffusion.

💡Comfy UI Manager

The Comfy UI Manager is an extension that simplifies the installation and management of AI models and plugins. The script describes downloading the manager as a '.bat' file and running it to automate the setup process. It's portrayed as a convenience tool that streamlines the AI setup.

💡AI Image Diffusion

AI image diffusion is a technique used in AI-generated art to create new images from existing ones by iteratively applying noise and learning patterns. The video explains configuring Krita to use AI image diffusion with the installed plugin, showcasing how to set the server path and install various AI models.

💡Custom Nodes

Custom nodes are additional functionalities that can be added to Comfy UI to extend its capabilities. The tutorial demonstrates how to install custom nodes using Git clone links and how to use them for live rendering of webcams or other video sources through Comfy UI.

💡LCM Model

The LCM (Latent Convolutional Model) is a type of AI model used for image generation. The video script guides viewers on downloading LCM models from sources like civit.ai and setting them up in Comfy UI for use in AI image generation tasks.

💡Live Mode

Live mode is a feature in AI tools that allows real-time rendering and manipulation of video feeds or webcam inputs. The script explains how to configure live mode in Comfy UI, setting step and configuration parameters to control the CPU usage and frame rate for live AI rendering.

💡Visual Studio Build Tools

Visual Studio Build Tools are a set of utilities required for compiling and building software, including Python modules and custom nodes. The video mentions installing these tools to facilitate the setup of certain custom nodes that require compilation, ensuring that the AI environment is fully functional.

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.