스테이블 디퓨전 설치 방법 (왕초보도 쉽게 따라할 수 있습니다!)

트로메들로아
14 Nov 202311:08

TLDRThis video script offers a step-by-step guide on installing Stable Diffusion Web UI, a beneficial AI tool that, despite its complexity, can be made accessible to users. The tutorial begins with installing Python, followed by Git, and then cloning a repository using the command prompt. The final step involves running the Web UI application and testing its functionality. The guide is designed to ease users into the process, ensuring they understand each step and can troubleshoot any issues that arise.

Takeaways

  • 🌐 The tutorial is about installing Stable Diffusion Web UI, a tool used for AI-related production tasks.
  • 🤖 Stable Diffusion is perceived as difficult to install, but the video aims to make the process accessible to everyone.
  • 🔗 A link to the GitHub page called Automatic1111 is provided for installation guidance.
  • 💻 The installation process starts with installing Python, with detailed steps for both 64-bit and 32-bit versions.
  • 📋 Users are shown how to check their system's architecture (64-bit or 32-bit) to select the correct Python installer.
  • 📌 A custom installation of Python is recommended with specific checkboxes to be selected for successful setup.
  • 🛠️ Git is the next software to be installed, with instructions provided for downloading the appropriate version based on system architecture.
  • 📂 The tutorial includes detailed navigation through the file system to clone a repository needed for the Stable Diffusion setup.
  • 🔄 A step-by-step guide is given for executing commands in the Command Prompt to clone the necessary files for the application.
  • 🔧 The final step involves installing the Stable Diffusion Web UI itself by running a specific executable file.
  • 🎨 The video concludes with a test of the installed software, demonstrating its functionality in creating AI-generated images.

Q & A

  • What is the main topic of the video transcript?

    -The main topic of the video transcript is the step-by-step installation process of Stable Diffusion Web UI.

  • Why might some people find it difficult to try Stable Diffusion?

    -Some people might find it difficult to try Stable Diffusion because they perceive it as a complex tool and may not be well-versed with their computer systems, making the installation process seem daunting.

  • What is the first step in installing Stable Diffusion Web UI?

    -The first step in installing Stable Diffusion Web UI is to install Python. The video transcript recommends installing Python 3.10.6 version.

  • How can users determine whether their PC is 64-bit or 32-bit?

    -Users can determine the bit version of their PC by right-clicking on 'My PC' or 'My Computer', selecting 'Properties', and looking for 'System type' which will indicate if it's a 64-bit or 32-bit operating system.

  • What is the second software that needs to be installed in the process?

    -The second software that needs to be installed is Git, which is used for version control and source code management.

  • How is the Stable Diffusion repository cloned?

    -The Stable Diffusion repository is cloned using the 'git clone' command in the Command Prompt window, by copying and pasting the command provided in the installation instructions.

  • What is the final step in the installation process?

    -The final step in the installation process is to double-click the 'web UI user in the Windows patch file' located in the 'Stable diffusion web UI' folder on the C drive to complete the setup and run the application.

  • How can users access the Stable Diffusion Web UI after installation?

    -After installation, users can access the Stable Diffusion Web UI by copying the local URL provided in the Command Prompt window and pasting it into any web browser's address bar.

  • How can users turn off the Stable Diffusion Web UI?

    -To turn off the Stable Diffusion Web UI, users need to press 'Ctrl C' in the Command Prompt window where the application is running.

  • What is the purpose of the Stable Diffusion Web UI?

    -The purpose of the Stable Diffusion Web UI is to provide a user-friendly interface for creating AI-generated images using the Stable Diffusion model.

  • How can users troubleshoot if they encounter issues during the installation?

    -If users encounter issues during the installation, they should refer to the error messages and seek solutions online or in the comments section of the video where the creator may provide further assistance.

Outlines

00:00

🖥️ Introduction to Installing Stable Diffusion Web UI

This paragraph introduces the process of installing Stable Diffusion Web UI, acknowledging that many people find it challenging due to its complexity and lack of accessibility. The speaker aims to provide a comprehensive guide to make the installation process easier, starting with sharing a link to the GitHub page called Automatic1111, which contains all the necessary installation methods. The speaker reassures viewers that despite the complexity of the page, translators can assist in understanding the instructions. The focus is on the importance of installation and the speaker proceeds to demonstrate the steps, emphasizing the need to follow along carefully.

05:07

💻 Step-by-Step Installation Guide

The second paragraph delves into the detailed steps of installing Stable Diffusion Web UI, beginning with the installation of Python. The speaker provides a tip on how to navigate to the Python download page efficiently and emphasizes the importance of choosing the correct version (64-bit or 32-bit) based on the user's system. The installation of Python is described in detail, including the selection of a custom installation over the default option and the necessity of confirming all checkboxes for a complete setup. The paragraph continues with the installation of Git, guiding users through the process with clear instructions and highlighting the simplicity of the procedure. The speaker then moves on to the third step, which involves using the command prompt to clone the repository, ensuring that users understand how to navigate and execute the necessary commands. The paragraph concludes with the final step of installing the Stable Diffusion Web UI through a Windows patch file, emphasizing that the process becomes faster after the initial installation.

10:10

🎨 Testing and Using Stable Diffusion Web UI

In the final paragraph, the speaker demonstrates how to test the newly installed Stable Diffusion Web UI. The speaker selects a default model and uses it to generate an image of a boy eating steak at a restaurant, showcasing the quality of the model. The paragraph then transitions into explaining how to input positive and negative prompts for more advanced usage. The speaker reflects on the learning goal of the day, which was to complete the installation process of Stable Diffusion, and commends the viewers for their efforts. The speaker encourages viewers to ask questions or seek help in the comments section if they encounter any issues, promoting a collaborative problem-solving approach.

Mindmap

Keywords

💡Stable Diffusion Web UI

Stable Diffusion Web UI is a user interface designed for the Stable Diffusion model, which is an AI tool used for image generation. In the context of the video, it is the main subject of installation, making it accessible for users who may find the command-line interface difficult to navigate. The script provides a step-by-step guide on how to install this interface, emphasizing its ease of use and the benefits it brings to users who are not as familiar with technical aspects of software installation.

💡Python

Python is a high-level programming language that is widely used for various types of software development. It is highlighted in the script as a prerequisite for installing Stable Diffusion Web UI. The video explains how to identify the correct Python version (64-bit or 32-bit) based on the user's operating system and provides instructions for downloading and installing Python, which is crucial for the subsequent steps of setting up the AI tool.

💡Git

Git is a version control system that allows developers to manage and track changes in their code. In the context of the video, it is another essential software that needs to be installed to clone the repository containing the Stable Diffusion Web UI. The script guides the viewers through the process of downloading and installing Git, which is a critical step in obtaining the necessary files for the AI tool's functioning.

💡Command Prompt

Command Prompt, also known as cmd, is a command-line interface for Windows operating systems that allows users to interact with the system by typing commands. In the video, the Command Prompt is used to clone the Stable Diffusion repository, which is a necessary step in the installation process. It demonstrates the use of Command Prompt for executing specific commands that facilitate the setup of the AI tool.

💡Installation

Installation refers to the process of setting up and preparing software for use on a computer. In the video, the term is central to the tutorial, as it describes the steps required to install Stable Diffusion Web UI and its dependencies. The script aims to demystify the installation process, making it accessible to users who may not have extensive technical knowledge.

💡GitHub

GitHub is a web-based hosting service for version control using Git. It is where developers store their code and collaborate on projects. In the video, GitHub is the platform hosting the Stable Diffusion Web UI repository. The script guides viewers to navigate to a specific GitHub page called Automatic1111 to access the installation files and instructions.

💡64-bit and 32-bit

64-bit and 32-bit refer to the architecture of a computer's processor and the software that is designed to run on it. The number of bits determines the amount of data a processor can handle at once. In the context of the video, these terms are important for selecting the correct version of Python and Git to install, ensuring compatibility with the user's system and the proper functioning of Stable Diffusion Web UI.

💡Custom Installation

Custom Installation refers to the process of selecting specific features or components to install during the setup of a software, as opposed to a standard installation that includes all available features. In the video, custom installation of Python is emphasized to ensure that all necessary features for running Stable Diffusion Web UI are included, which may not be the case in a default installation.

💡Clone

To clone, in the context of software development, means to create a copy of a repository from a remote server, such as GitHub, to a local computer. In the video, cloning is a critical step in the installation process of Stable Diffusion Web UI, as it involves downloading the necessary files and code from the remote repository to the user's local machine.

💡Web UI User Windows Patch

Web UI User Windows Patch refers to a specific file or set of files designed to facilitate the use of the Stable Diffusion Web UI on a Windows operating system. This patch is used to automate the installation process and ensure that all necessary components are correctly set up for the user to interact with the AI tool through a graphical user interface.

💡Local URL

Local URL refers to a web address that points to a resource available on the user's own computer or local network, rather than on a remote server. In the context of the video, the local URL is the address that users need to enter into their web browser to access the Stable Diffusion Web UI once it has been installed and is running on their machine.

Highlights

Introduction to the process of installing Stable Diffusion Web UI

The importance of Stable Diffusion as a free and beneficial tool for production with AI

Challenges faced by users due to the perceived complexity of installation

The provision of a comprehensive guide to overcome installation barriers

Accessing the GitHub page called Automatic1111 for installation instructions

Detailed explanation of navigating the GitHub page for installation

The necessity of installing Python and guidance on selecting the correct version

Instructions on how to check the PC's system type (64-bit or 32-bit)

Step-by-step guide for downloading and installing the appropriate Python version

Custom installation process for Python with important configuration steps

Moving on to the second step, the installation of Git

Simplified process for downloading and installing Git according to system specifications

The third step involves cloning a repository using Command Prompt

Copying and pasting the command for cloning the repository in Command Prompt

Final step of installing Stable Diffusion Web UI by running a Windows patch file

Explanation of how to access Stable Diffusion Web UI after installation

Instructions on how to turn off and on the Stable Diffusion Web UI

Testing the installation with an example image generation

Conclusion and encouragement for users to seek help if they encounter issues

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