[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 ComfyUI의 장점을 강조하며, 사용 방법과 커스텀 노드, 체크포인트 모델, 샘플러 등의 설정 방법을 상세하게 안내합니다. 또한, 이미지 생성 과정에서 색상, 모델, 프롬프트 등의 조정 방법과 결과 이미지 저장 방법에 대해 소개합니다. 기본적인 워크플로우를 이해하고 응용할 수 있도록 단계별로 가이드를 제공합니다.

Takeaways

  • 😀 ComfyUI is a free tool for creating AI images, offering an alternative to paid versions like Stable Diffusion.
  • 🛠️ Even without coding knowledge, ComfyUI is user-friendly and allows for custom workspace creation.
  • 🔗 The GitHub site is the source for downloading ComfyUI and its materials.
  • 📂 After downloading, a batch file in a specific drive executes to start the setup.
  • 📱 Extension programs, including custom nodes, are necessary for ComfyUI's operation.
  • 🔄 To install the Manager extension, navigate to the Custom_nodes folder and use the command prompt.
  • 🎨 Users can create a workflow by inserting nodes like checkpoint models and prompts into ComfyUI.
  • 🔗 Nodes are color-coded for easy connection, indicating compatible links in the workflow.
  • 🖼️ The K-Sampler node is used to combine models and prompts into a visual output.
  • 🖌️ Image generation starts from scratch, with options to save or preview the output.
  • 📁 The final image can be automatically saved in the Output folder, with settings like seed, steps, and CFG adjustable.

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.

  • Why is ComfyUI emphasized as a useful tool even for non-coders?

    -ComfyUI is emphasized because it allows users to create the workspace they want, and it is user-friendly enough for those who do not know how to code, thanks to its intuitive interface and custom nodes.

  • How can one obtain and install ComfyUI?

    -ComfyUI can be downloaded from its GitHub site. After downloading, a batch file can be executed to install it. Additionally, extension programs like Custom nodes are required, which can be installed through a command window in the Custom_nodes folder.

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

    -The 'Manager' extension in ComfyUI is necessary for managing and organizing the workflow. It appears once installed and allows for a more structured approach to creating and managing AI images.

  • How does one create a basic workflow in ComfyUI?

    -To create a basic workflow in ComfyUI, one should start by inserting a checkpoint model, adding a prompt through the Clip Text Encode node, and connecting nodes to form a process. The workflow involves connecting models and prompts to a sampler, which then processes them into an image.

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

    -The 'K-Sampler' node in ComfyUI is used to process the input model and prompt into a format that can be used to generate an image. It is where the image generation process takes place.

  • How can one adjust the image generation parameters in ComfyUI?

    -In ComfyUI, image generation parameters such as resolution, steps, CFG, and denoise strength can be adjusted by selecting the appropriate nodes and inputting the desired values.

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

    -The 'VAE Decode' node is crucial as it decodes the latent image code generated by the sampler back into an understandable RGB image format, which can then be saved or previewed.

  • How can users save the generated images in ComfyUI?

    -Users can save the generated images by connecting the output of the 'VAE Decode' node to a 'Save image' node, which automatically saves the image in the Output folder.

  • What is the process for using a different model in ComfyUI?

    -To use a different model in ComfyUI, one must first ensure the model is in the correct folder and then specify the path to the model in the checkpoint node. This allows the model to be used in the workflow without physically moving files.

  • How does the video suggest users approach learning ComfyUI?

    -The video suggests starting with the basics and gradually building up understanding. It recommends watching the tutorial video repeatedly to grasp the fundamentals and be better prepared for more advanced applications.

Outlines

00:00

🆓 Free AI Image Creation Tools

The paragraph introduces the scarcity of free AI image creation tools in a market increasingly dominated by paid versions. It highlights Stable Diffusion and ComfyUI as exceptions, emphasizing ComfyUI's user-friendly nature even for non-coders. The speaker intends to demonstrate a workflow using ComfyUI, starting with installation from GitHub and the necessity of extension programs like Custom nodes. The paragraph guides through the initial setup, including running a batch file and installing the ComfyUI Manager for a complete setup.

05:01

🎨 Building a Workflow in ComfyUI

This segment delves into the creation of a workflow in ComfyUI, starting with a blank canvas. It discusses the insertion of a checkpoint model, akin to the initial step in Stable Diffusion, and setting up prompts. The tutorial covers node connections, color-coding for node compatibility, and the process of copying and pasting nodes while maintaining connections. It introduces the Clip Text Encode node for inputting prompts and the process of connecting nodes to create an image, including the use of K-Sampler and VAE Decode for image generation. The paragraph concludes with instructions on configuring image settings and selecting a sampler for image creation.

10:02

🖼️ Image Creation and Model Integration

The final paragraph focuses on the practical application of the workflow by creating an image. It explains the process of selecting a model, adjusting settings like denoise strength, and generating images using the Queue Prompt function. The speaker shares a tip on using models from different folders, demonstrating how to integrate a stable diffusion model into ComfyUI by adjusting the model path. The paragraph concludes with a recommendation to repeat the tutorial for better understanding and a prompt for viewers to like and subscribe for more content.

Mindmap

Keywords

💡ComfyUI

ComfyUI is a free tool for generating AI images, as mentioned in the script, it stands out in a market where many similar tools are transitioning to paid versions. It is highlighted for its user-friendly nature, allowing even those without coding knowledge to create custom workspaces. The video script emphasizes ComfyUI's ease of use and its potential for creating a personalized workflow, which is central to the video's theme of teaching viewers how to set up and use the tool effectively.

💡Stable Diffusion

Stable Diffusion is referenced in the context of a model used in AI image generation. The script suggests that ComfyUI can be used alongside Stable Diffusion, indicating that it is a model that users might already be familiar with or might want to integrate into their ComfyUI workflows. It is used as an example to show the flexibility of ComfyUI in working with different AI models.

💡Workflow

A workflow, in the context of the video, refers to a series of steps or processes that are created and followed to accomplish a specific task using ComfyUI. The script walks through the basic steps to create a workflow in ComfyUI, from installing necessary components to connecting nodes and setting up models. The video aims to educate viewers on how to establish a workflow that can be expanded and customized for various image generation tasks.

💡Checkpoint Model

The checkpoint model is a specific type of model used in AI image generation that is mentioned as a starting point for creating images in ComfyUI. The script explains how to insert a checkpoint model into the workflow, which is essential for defining the base characteristics of the AI-generated images. It is an integral part of setting up the initial structure of a ComfyUI workflow.

💡Custom Nodes

Custom nodes are described as extension programs in ComfyUI that allow for additional functionality. The script mentions installing custom nodes as a necessary step to enhance the capabilities of ComfyUI, such as incorporating different models and tools into the workspace. They are a key concept in expanding the tool's utility beyond its basic functions.

💡Manager

The Manager, as introduced in the script, is a component of ComfyUI that becomes visible after installing certain extensions. It plays a role in organizing and managing the various elements and nodes within the ComfyUI workspace. The script emphasizes the importance of installing the Manager to fully utilize the tool's capabilities.

💡Prompt

A prompt in the context of AI image generation with ComfyUI is a text input that guides the model to produce a specific type of image. The script discusses how to set up positive and negative prompts to refine the output of the AI model. Prompts are crucial for directing the creative process and achieving desired results in image generation.

💡Node

Nodes in ComfyUI represent individual components or functions within the workflow. The video script explains how to add, connect, and manipulate nodes to build a workflow. Nodes can represent various elements such as checkpoints, prompts, and image processing functions, and they are the building blocks of a ComfyUI workflow.

💡K-Sampler

K-Sampler is a node type mentioned in the script that is used to process and combine the model and prompts into a format that can be used to generate images. It is part of the process where the AI 'understands' the input and begins to create the image based on the provided prompts and model data.

💡VAE Decode

VAE Decode, as discussed in the script, is a process or node that translates the encoded image data back into a recognizable RGB image format. It is a crucial step in the workflow where the AI-generated image is decoded from a latent space representation to a visual format that users can view and save.

💡Output Folder

The Output Folder is where the final AI-generated images are saved after the workflow processes. The script mentions the option to save the image automatically in the Output Folder, which organizes the results of the image generation tasks. It is an important part of the workflow for managing and accessing the generated content.

Highlights

ComfyUI is a free tool for creating AI images, unlike many other tools that are converting to paid versions.

ComfyUI is user-friendly even for non-coders, allowing users to create custom workspaces.

A step-by-step guide on installing ComfyUI from the GitHub site is provided.

Custom nodes are introduced as extension programs necessary for ComfyUI's operation.

ComfyUI Manager is a crucial extension that needs to be installed separately.

Users can create a workflow by connecting nodes, starting with the checkpoint model.

The Clip Text Encode node is used for inputting prompts to interact with the model.

Nodes can be freely moved and resized within the workspace.

Nodes are color-coded to indicate compatibility for connections, simplifying the workflow creation.

Copying and pasting nodes while maintaining connections streamlines the workflow setup.

The prompt section is crucial for defining the positive and negative aspects of the image generation.

Users can customize the color of nodes to differentiate between various elements in the workflow.

K-Sampler is introduced as a node for pouring models and prompts into a 'paint container'.

The VAE Decode node is essential for converting the code back into an RGB image.

The image generation process is demonstrated, including setting the resolution and selecting the Sampler name.

The video provides a practical example of creating a cute cat image using ComfyUI.

The process of using a different model other than SDXL is explained, showcasing ComfyUI's flexibility.

The video concludes with a reminder to watch it repeatedly for better understanding and future applications.

The presenter encourages viewers to like and subscribe for more content on ComfyUI and related tools.

Casual Browsing

스테이블 디퓨전 실사 이미지 동영상 만들기

2024-04-01 03:10:00

스테이블 디퓨전 설치 방법 (왕초보도 쉽게 따라할 수 있습니다!)

2024-03-31 23:35:00

스테이블 디퓨전으로 AI 실사 쉽게 만들기! (Stable diffusion 사용법)

2024-03-31 21:55:00

Stable Diffusion 설치 및 기본 사용 방법 - how to install Stable Diffusion

2024-04-01 01:35:00

Stable Diffusion 설치 및 관리 하기 (2023 하반기) - 가장 쉽고 효과적인 방법

2024-04-01 02:55:00