[꿀팁포함] ComfyUI 설치 그리고 워크 플로우 만들기 기초

AI 오프너
11 Sept 202312:13

TLDR이 비디오는 ComfyUI를 설치하고 기본 워크플로우를 만드는 방법에 대해 설명합니다. 무료 AI 이미지 생성 도구로 ComfyUI와 Stable Diffusion을 소개하며, ComfyUI의 장점을 강조합니다. 사용자는 코드를 모르더라도 익숙해지면 사용할 수 있습니다. ComfyUI의 설치 과정부터 워크플로우의 생성 방법까지 단계별로 안내하며, 사용자가 쉽게 따라할 수 있도록 친절한 설명을 제공합니다. 또한, 확장 프로그램과 커스텀 노드의 설치, 노드의 연결 방법, 색상 변경, 모델과 프롬프트의 적용, 그리고 최종 이미지 생성까지의 과정을 상세하게 안내합니다.

Takeaways

  • 🆓 ComfyUI is a free tool for creating AI images, unlike many other tools that are transitioning to paid versions.
  • 💻 Even without coding knowledge, ComfyUI is user-friendly and allows for the creation of custom workspaces.
  • 🔧 The installation process for ComfyUI involves downloading from GitHub, executing a batch file, and installing necessary extensions.
  • 📂 Custom nodes act as extension programs in ComfyUI, enabling the insertion of models and other elements.
  • 🔗 The script guides users through setting up a basic workflow in ComfyUI, starting from an empty workspace.
  • 🖼️ To create an image, users must insert a checkpoint model and connect it with a prompt through nodes.
  • 🎨 Nodes can be color-coded for better organization and to indicate which can be connected together.
  • 🔄 Copying and pasting nodes while maintaining connections simplifies the workflow creation process.
  • 🖥️ The script introduces the concept of 'K-Sampler' for combining models and prompts to generate an image.
  • 🖼️ The final image can be previewed or saved automatically in the Output folder, with options to adjust settings like resolution and denoise strength.
  • 📁 The video also covers how to manage models by sharing and specifying paths, ensuring efficient use of ComfyUI.

Q & A

  • What are some free tools available for creating AI images?

    -Stable Diffusion and ComfyUI are mentioned as tools that can be used completely for free to create AI images.

  • What is the advantage of using ComfyUI even without coding knowledge?

    -ComfyUI allows users to create the workspace they want, and it's user-friendly enough that even those who don't know how to code can use it effectively.

  • How can one get started with ComfyUI?

    -To get started with ComfyUI, one needs to download it from the GitHub site, run the batch file, and install the necessary extension programs.

  • What is the role of the 'Manager' in ComfyUI?

    -The 'Manager' is an extension in ComfyUI that allows users to insert models and other elements into their workspace.

  • How does one install the 'Manager' extension in ComfyUI?

    -To install the 'Manager' extension, one needs to navigate to the Custom_nodes folder, open a command window by typing 'cmd', and then use 'git clone' with the provided link to install it.

  • What is the first step in creating a workflow in ComfyUI?

    -The first step in creating a workflow in ComfyUI is to insert a checkpoint model by right-clicking and selecting 'Add Node'.

  • How does one connect nodes within ComfyUI?

    -Nodes in ComfyUI can be connected by clicking and dragging them. Nodes with matching colors can be connected without issues.

  • What is the purpose of the 'Clip Text Encode' section in ComfyUI?

    -The 'Clip Text Encode' section in ComfyUI is used to upload prompts that will be used to guide the AI image generation process.

  • How can one customize the appearance of nodes in ComfyUI?

    -In ComfyUI, users can customize the color of nodes to distinguish them, for example, changing the color of the positive prompt to green and the negative to red.

  • What is the function of the 'K-Sampler' in ComfyUI?

    -The 'K-Sampler' in ComfyUI is used to mix models and prompts into a 'paint container' to create the final image.

  • How does one save the generated image in ComfyUI?

    -In ComfyUI, users can save the generated image by selecting 'Save image' or 'Preview image', which will automatically save the image in the Output folder.

  • What is the significance of the 'VAE Decode' in the ComfyUI workflow?

    -The 'VAE Decode' in ComfyUI is used to convert the encoded image data back into an understandable RGB image format.

Outlines

00:00

🖼️ Introduction to ComfyUI for AI Image Creation

The paragraph introduces ComfyUI as a free tool for AI image creation, contrasting it with other paid tools like Stable Diffusion. It emphasizes ComfyUI's user-friendliness, even for non-coders, and its flexibility in creating custom workspaces. The speaker guides the audience through the installation process, from downloading the software from GitHub to executing the batch file. The paragraph also covers the installation of necessary extensions, such as Custom nodes and the ComfyUI Manager, and sets the stage for exploring a workflow within ComfyUI.

05:01

🎨 Setting Up a Basic Workflow in ComfyUI

This paragraph delves into the initial steps of creating a workflow in ComfyUI. It discusses the process of inserting a checkpoint model, which is essential for generating images with Stable Diffusion. The speaker explains how to add nodes, connect them, and adjust their properties, such as size and color, to build a functional workflow. The paragraph also touches on the importance of understanding the basics for future applications and ends with a step-by-step guide on setting up prompts and models to create an image.

10:02

🔧 Advanced Workflow and Model Integration in ComfyUI

The final paragraph focuses on integrating advanced models and customizing the workflow in ComfyUI. It demonstrates how to modify the settings for image creation, such as resolution and denoise strength, and how to select and use different models. The speaker also shows how to efficiently manage model paths for Stable Diffusion within ComfyUI, ensuring a seamless workflow. The paragraph concludes with a live demonstration of creating images using ComfyUI, highlighting the tool's simplicity and effectiveness.

Mindmap

Keywords

💡ComfyUI

ComfyUI is a free tool mentioned in the video script that allows users to create AI images without any coding knowledge. It is highlighted as a user-friendly platform where one can customize their workspace and utilize various features like 'rollers' and 'upscale models' to generate images. The video emphasizes how ComfyUI stands out in a market where many similar tools are transitioning to paid versions, making it an attractive option for those looking to create AI images at no cost.

💡Stable Diffusion

Stable Diffusion is referenced as a comparable tool to ComfyUI in the context of AI image creation. It is implied that both tools are used for generating images through AI, but the video focuses on ComfyUI's free and accessible features. The script suggests that users might be familiar with Stable Diffusion and are looking for alternatives or additional tools, hence the introduction to ComfyUI.

💡GitHub

GitHub is mentioned as the platform where users can download ComfyUI materials. It is presented as a source for the initial setup and installation of the tool. The video script guides viewers on how to navigate to the GitHub site, find the direct link to download ComfyUI, and execute the necessary batch file to begin using the tool.

💡Custom nodes

Custom nodes are described as extension programs within ComfyUI that allow for additional functionality. They are integral to the workflow as they enable users to insert models and other elements into their image creation process. The video script explains the installation of these nodes, which are necessary for expanding the capabilities of ComfyUI beyond its basic features.

💡Batch file

A batch file is a type of script file in DOS, OS/2, and Windows that consists of a series of commands to be executed by the command-line interpreter. In the context of the video, running a batch file is a step in the installation process of ComfyUI, allowing users to quickly set up the environment needed to run the tool.

💡Manager

The 'Manager' is an extension within ComfyUI that is highlighted in the script as a crucial component to install for managing various aspects of the AI image creation process. It is not visible initially but becomes available after following the installation instructions provided in the video.

💡Checkpoint model

The checkpoint model refers to a specific type of model used in AI image generation, which is introduced in the video as the first element to be inserted into the ComfyUI workspace. It serves as a foundational component for creating images, and the script demonstrates how to add and utilize it within the ComfyUI environment.

💡Prompt

A prompt in the context of AI image generation is a text input that guides the AI to produce a specific output. In the video, prompts are used to influence the characteristics of the generated images. The script explains how to set up positive and negative prompts to refine the image creation process within ComfyUI.

💡K-Sampler

K-Sampler is a component within ComfyUI that is used to mix and process the image data. The video script describes how to connect the model and prompts to the K-Sampler to create the final image. It is part of the workflow that transforms the AI's code into a visual output.

💡VAE Decode

VAE Decode is a process mentioned in the video that converts the encoded image data back into a recognizable RGB image format. It is a crucial step in the workflow within ComfyUI, ensuring that the AI-generated code is translated into a viewable image that users can save or preview.

💡Scheduler

The scheduler, specifically 'Karras' mentioned in the script, is a setting within ComfyUI that controls the sampling method used to generate the final image. It is part of the configuration options that users can adjust to achieve different visual results in their AI-generated images.

Highlights

ComfyUI는 무료로 AI 이미지를 생성할 수 있는 툴 중 하나입니다.

ComfyUI는 코딩을 모르더라도 사용할 수 있는 강점이 있습니다.

GitHub 사이트에서 ComfyUI 소스를 다운로드할 수 있습니다.

ComfyUI를 실행하기 위한 확장 프로그램이 필요합니다.

Custom nodes를 확장 프로그램으로 생각하시면 됩니다.

Manager 확장 프로그램을 먼저 설치하는 것이 좋습니다.

워크플로우를 생성하기 위한 첫 단계는 빈 공간에 노드를 삽입하는 것입니다.

Checkpoint 모델을 ComfyUI에 삽입하는 방법입니다.

Prompt를 사용하여 모델과 상호작용하는 방법입니다.

노드를 연결하여 워크플로우를 구성하는 방법입니다.

노드의 색상은 연결 가능 여부를 나타냅니다.

Alt 키를 사용하여 노드를 복사하는 방법입니다.

Ctrl+C와 Ctrl+Shift+V로 노드를 복사 붙여넣기 하는 방법입니다.

Positive Prompt와 Negative Prompt를 설정하는 방법입니다.

워크플로우에서 색상을 변경하여 구분하는 방법입니다.

K-Sampler를 사용하여 이미지를 생성하는 방법입니다.

VAE Decode를 사용하여 코드를 RGB 이미지로 변환하는 방법입니다.

이미지를 저장하거나 미리보기 하는 방법입니다.

Sampler 이름과 scheduler, denoise strength를 설정하는 방법입니다.

Stable Diffusion 모델을 사용하기 위한 경로 설정 방법입니다.

ComfyUI에서 모델을 선택하고 이미지를 생성하는 방법입니다.

워크플로우를 반복하여 더 나은 결과를 얻는 방법입니다.