How To Install ComfyUI And The ComfyUI Manager

Monzon Media
29 Aug 202312:06

TLDRThe video script offers a comprehensive guide on installing Comfy UI, a user interface for stable diffusion models, and its supporting plugins. It begins with downloading and installing git, which is essential for pulling files from GitHub. The script then walks through the process of downloading and extracting Comfy UI, setting up the installation directory, and configuring the Nvidia GPU bat file for easy access. It proceeds to explain the installation of xformers and PyTorch for optimized performance. The script further instructs on downloading a model, testing the setup, and understanding the basic UI functionalities. Additionally, it covers the installation of the plugins manager and custom nodes for enhanced usability. The video concludes with tips on integrating models from other platforms into Comfy UI and a preview of future content.


  • ๐Ÿ“‚ Git is a crucial tool for downloading files from GitHub, which is a primary source for stable diffusion materials.
  • ๐Ÿ’ป The installation of Git is straightforward and involves downloading the appropriate version and following the installation prompts.
  • ๐Ÿ“ฆ 7-Zip is necessary for extracting Comfy UI files and should be downloaded if not already present on the system.
  • ๐Ÿ  Comfy UI should be extracted to a chosen directory, with the default being the C drive.
  • ๐Ÿ–ฅ๏ธ The Nvidia GPU bat file should be sent to the desktop for easy access and startup of Comfy UI.
  • ๐Ÿ”„ Installation of xformers and PyTorch is essential for speeding up generation time and running Comfy UI effectively.
  • ๐Ÿ–ผ๏ธ Users can download models from platforms like Hugging Face or Civit AI, with the latter being recommended for custom models.
  • ๐ŸŽจ Comfy UI provides a basic setup that allows users to load models and generate images using AI, with a diffusion process and a text encoder.
  • ๐Ÿ”ง The Plugins Manager is a valuable tool for customizing and extending the functionality of Comfy UI, with options for installing custom nodes.
  • ๐Ÿ”„ The Snap to Grid feature helps in organizing the workspace by snapping elements to a grid for a tidy arrangement.
  • ๐Ÿ”„ Redirecting models from other platforms like Automatic 1111 to Comfy UI can be done by copying the model paths and pasting them into the extra model paths yaml file.

Q & A

  • What is the primary purpose of installing Git for this tutorial?

    -The primary purpose of installing Git is to pull files from GitHub, which is a central site for many resources needed for stable diffusion, including the ones used in this tutorial.

  • How does one install Git on their system?

    -To install Git, users need to visit the official Git website, download the appropriate version for their system, and follow the installation prompts. It's as simple as double-clicking the downloaded file and following the on-screen instructions.

  • What is the role of 7-Zip in the installation process?

    -7-Zip is used to extract the Comfy UI files that are downloaded. It is necessary because the UI files come in a compressed format that needs to be extracted before they can be installed.

  • Where should the Comfy UI be installed?

    -The Comfy UI can be installed in a location of the user's choice. The tutorial suggests leaving it on the C drive but also provides the option to create a new folder for it.

  • What are the benefits of installing xformers and PyTorch?

    -Installing xformers helps speed up the generation time, while PyTorch is a necessary library to run Comfy UI. These installations enhance the performance and functionality of the UI.

  • How does one acquire a model for use with Comfy UI?

    -Users can download a model from platforms like Hugging Face or Civit AI. The tutorial recommends starting with the standard stable diffusion model or exploring custom models from Civit AI.

  • What is the basic setup of Comfy UI?

    -The basic setup of Comfy UI involves loading a model that contains all the data needed to create an image. The UI uses clip text encoders for positive and negative prompts to tell the AI what image to create. It then goes through a diffusion process and a sampler process to denoise and create the final image.

  • How can users redirect their models from other platforms to Comfy UI?

    -Users can redirect their models by copying the model's address from the other platform and pasting it into the 'extra_model_paths.yaml' file in their Comfy UI folder. After renaming the file and restarting Comfy UI, the models will appear in the UI.

  • What are the custom nodes and how do they enhance the Comfy UI experience?

    -Custom nodes are additional features or extensions that can be installed to enhance the functionality of Comfy UI. They provide more options for users to customize their workflow and improve the organization and creation process within the UI.

  • How does the SNAP to grid feature work in Comfy UI?

    -The SNAP to grid feature helps keep the nodes organized by automatically aligning them to an invisible grid when moved. This feature can be adjusted to either keep the nodes close together or spread them further apart according to the user's preference.

  • What is the process for installing custom nodes like the Fail Fast and Impact Pack?

    -To install custom nodes, users need to download the node files into the 'custom nodes' directory within the main Comfy UI folder. After downloading, they can install the nodes through the Comfy UI manager by searching for the node names and clicking 'install'. A restart of Comfy UI is required for the nodes to take effect.



๐Ÿš€ Introduction to Comfy UI Installation

This paragraph outlines the initial steps for installing Comfy UI, a user interface for stable diffusion. It begins by emphasizing the importance of Git, a tool for pulling files from GitHub, and provides a straightforward guide to its installation. The paragraph then details the process of downloading and installing Comfy UI, including the necessity of 7-Zip for file extraction. It guides the user through selecting an installation location and setting up the main Comfy UI folder. Additionally, it instructs on how to create a desktop shortcut for Nvidia GPU users and covers the installation of transformers and PyTorch, essential components for running Comfy UI. The paragraph concludes with instructions on downloading a model, recommending both Hugging Face and Civit AI as sources for beginners.


๐ŸŽจ Understanding Comfy UI Interface and Plugins

This paragraph delves into the basic setup and functionality of Comfy UI, explaining how models create images using data and text encoders for positive and negative prompts. It introduces the concept of a diffusion process and a sampler that denoises the image. The explanation continues with a guide on installing the plugins manager and customizing the UI with color palettes and menu settings. The paragraph also discusses the installation of two custom nodes, 'Fail Fast Comfy UI Extensions' and 'Comfy UI Impact Pack', and their roles in enhancing the user experience. It concludes with a brief on how to use the SNAP to grid feature for organizing the workspace.


๐Ÿ”„ Redirecting Models to Comfy UI and Future Workflows

The final paragraph focuses on redirecting models from other platforms like Automatic 1111 to Comfy UI. It provides a step-by-step guide on how to copy model addresses and paste them into the 'extra_model_paths.yaml' file within the Comfy UI folder. This allows users to access their models directly within Comfy UI. The paragraph also mentions the upcoming video that will teach viewers how to build a workflow from scratch and utilize custom nodes for further customization. It ends with a teaser for the next video and a prompt for viewers to check it out.



๐Ÿ’กComfy UI

Comfy UI is a user interface designed for ease of use and efficiency in interacting with stable diffusion models. In the context of the video, it is the primary tool for managing and generating images using AI. The script guides users through the installation process and basic setup of Comfy UI, highlighting its importance in the workflow for image generation and customization.


Git is a version control system that allows users to manage and track changes in codebases. In the video, it is used to pull files from GitHub, which is essential for obtaining the necessary components for stable diffusion and Comfy UI. Git serves as a fundamental tool in the software development process and is crucial for the initial setup of the AI image generation environment.


GitHub is a web-based platform that provides version control and collaboration features for developers. It is used as a central repository for various projects, including the Comfy UI and stable diffusion models. The video emphasizes the importance of GitHub as the source for downloading necessary files and software for the AI image generation process.


7-Zip is a free and open-source file archiver that supports various compression formats. In the video, it is used to extract the Comfy UI files downloaded from GitHub. 7-Zip is a valuable utility for managing and accessing compressed files, which is a common task in software installation and file management.

๐Ÿ’กStable Diffusion

Stable Diffusion is a term used to describe a type of AI model that generates images from textual descriptions. It is the underlying technology that powers the image generation process in Comfy UI. The video focuses on setting up an environment where users can effectively utilize stable diffusion models for creating images, emphasizing the importance of understanding the basics of this AI technology.


NVIDIA GPU refers to the Graphics Processing Unit (GPU) manufactured by NVIDIA, which is a leading company in the field of GPU production. GPUs are critical for accelerating computational tasks, especially in AI and machine learning applications like image generation. In the video, the script mentions the use of an NVIDIA GPU for running Comfy UI and speeding up the image generation process.

๐Ÿ’กXformers and PyTorch

Xformers and PyTorch are two essential components for running AI models. Xformers is a library that provides pre-trained models optimized for performance, while PyTorch is an open-source machine learning library used for applications such as computer vision and natural language processing. In the context of the video, these components are necessary for the proper functioning of Comfy UI and the stable diffusion models, facilitating faster generation times and efficient model operation.

๐Ÿ’กModel Download

Model Download refers to the process of obtaining AI models from platforms like Hugging Face or Civit AI. These models are used in stable diffusion systems to generate images based on textual prompts. The video emphasizes the importance of selecting the right model, such as the standard stable diffusion model or custom models from Civit AI, to ensure effective image generation within Comfy UI.

๐Ÿ’กCustom Nodes

Custom Nodes are additional components or extensions that can be installed in Comfy UI to enhance its functionality and provide users with more options for image generation and manipulation. These nodes can introduce new features or improve the organization and workflow within the UI. The video discusses the installation of custom nodes like 'Fail Fast Comfy UI Extensions' and 'Comfy UI Impact Pack' to expand the capabilities of Comfy UI.

๐Ÿ’กPlugins Manager

The Plugins Manager is a feature within Comfy UI that allows users to manage and install additional plugins or custom nodes. It serves as a central hub for enhancing the UI's capabilities and staying organized with the various extensions available. The video highlights the installation of the Plugins Manager and its role in future videos, indicating its importance in customizing the user's experience with Comfy UI.


Workflow in the context of the video refers to the sequence of steps or procedures that users follow to generate images using Comfy UI and stable diffusion models. It encompasses the entire process from installation and setup to model selection, image generation, and customization. The video introduces the basic workflow and teases further exploration in subsequent videos, emphasizing the importance of understanding and optimizing one's workflow for effective AI image generation.


The introduction of the process to install Comfy UI and supporting plugins.

The necessity of Git for pulling files from GitHub, which is a central platform for stable diffusion.

The easy installation process of Git, with instructions on downloading and executing the application.

The importance of 7-Zip for extracting Comfy UI, depending on the system's architecture.

The detailed steps for installing Comfy UI, including the download link and extraction process.

Instructions on how to make the Nvidia GPU bat accessible on the desktop for easier startup.

The method to install xformers and PyTorch via command line to optimize generation time and run Comfy UI.

The process of downloading a model from platforms like Hugging Face or Civit AI for use with Comfy UI.

The testing of the installation by opening the application and checking if the model loads correctly.

An overview of how Comfy UI functions as a basic setup for stable diffusion, providing users with control over the image creation process.

The explanation of the role of the CLIP text encoders in defining the desired image through positive and negative prompts.

The description of the diffusion process and how it works to create noise and eventually denoise to generate the image.

The guidance on installing the plugins manager and its significance in future videos.

The step-by-step process of installing custom nodes like Fail Fast and Comfy UI Impact Pack for additional functionality.

The customization options available within the Comfy UI manager, such as menu position, invert menu scrolling, and color palette.

The practical demonstration of snapping nodes to the grid for better organization and tidiness in the workspace.

The method to redirect models from other platforms like Automatic 1111 to Comfy UI for users who use multiple platforms.

The mention of the upcoming video content, which will cover building a workflow from scratch and using custom nodes for further customization.