스테이블 디퓨전 설치 방법 (왕초보도 쉽게 따라할 수 있습니다!)

트로메들로아
14 Nov 202311:08

TLDRThe video script provides a step-by-step guide on installing Stable Diffusion Web UI, a tool that utilizes AI for various production tasks. It acknowledges the common difficulty users face with the installation process due to its complexity and aims to simplify it. The guide covers the installation of Python, Git, and the actual Stable Diffusion Web UI, ensuring that users understand how to check their system's bit version for the correct Python installer, the Git installation process, and the final setup of the Web UI. The video also demonstrates how to run and close the application, and encourages users to seek help in the comments section if they encounter any issues, promoting a collaborative problem-solving environment.

Takeaways

  • 📋 The tutorial guides users through installing Stable Diffusion Web UI, a beneficial AI tool that can be challenging for beginners due to its complexity.
  • 🔗 The video provides a link to a GitHub page called Automatic1111, which contains all necessary installation instructions and resources.
  • 💻 Users are instructed to first install Python, with detailed steps on choosing the correct 32-bit or 64-bit version based on their system configuration.
  • 🐍 The importance of Python installation is emphasized, and users are guided through the process of ensuring the correct version and custom installation settings.
  • 🛠️ The second step involves installing Git, with clear instructions on selecting the appropriate installer for the user's system and completing the installation.
  • 📂 The third step requires cloning a repository using the command prompt, which is simplified by copying and pasting the provided command.
  • 🖥️ The final step is to install the Stable Diffusion Web UI itself by running a Windows patch file, which is located in the newly created 'Stable Diffusion Web UI' folder on the C drive.
  • 🌐 Once installed, users can access the Stable Diffusion Web UI through a local URL, which can be found in the command prompt window.
  • 🔄 The video explains how to turn off the application by closing the command prompt window and pressing Ctrl+C.
  • 🔄 To restart the application, users are instructed to navigate back to the 'Stable Diffusion Web UI' folder and double-click the 'web UI user' file.
  • 🎨 The video concludes with a test of the software's capabilities by generating an image, demonstrating the successful installation and basic functionality of Stable Diffusion.

Q & A

  • What is the main topic of the video?

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

  • Why might some people find Stable Diffusion difficult to use?

    -Some people might find Stable Diffusion difficult to use because they are not familiar with their computer systems and the installation process can seem complex and intimidating.

  • 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 instructs to download the 64-bit version if the user's system is 64-bit, or the 32-bit version if the system is 32-bit.

  • How can a user determine if their system is 64-bit or 32-bit?

    -A user can determine if their system is 64-bit or 32-bit by right-clicking on 'My PC' or 'My Computer', selecting 'Properties', and looking for the 'System type' which will indicate if it is '64-bit Operating System' 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. The video provides instructions on downloading the appropriate version for the user's system and installing it.

  • How is the Git software installed?

    -The Git software is installed by downloading the correct version (64-bit or 32-bit) from the official website, then running the installer and following the prompts by clicking 'Next' until the installation is complete.

  • What is the third step in the installation process?

    -The third step involves using the Command Prompt to clone a repository which is essential for the Stable Diffusion Web UI. This is done by typing the git clone command provided in the installation instructions.

  • How does the user know if the installation was successful?

    -The user can tell if the installation was successful by checking for a new folder named 'Stable Diffusion Web UI' on their C drive. Additionally, the video describes that the Stable Diffusion Web UI should open automatically upon completion of the installation.

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

    -After installation, the user can access the Stable Diffusion Web UI by navigating to the 'Stable Diffusion Web UI' folder on their C drive and double-clicking the 'web UI user in the Windows patch' file. This will open the web interface in a browser.

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

    -The Stable Diffusion Web UI is a tool that allows users to utilize the Stable Diffusion AI model through a graphical user interface, making it easier to generate images and work with the AI without needing to interact with command-line interfaces or complex coding.

  • How can users get help if they encounter issues during the installation process?

    -If users encounter issues during the installation process, they are encouraged to leave a comment in the video's comment section where the creator and community can help troubleshoot and resolve the errors.

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. The speaker aims to simplify the installation by covering all necessary steps from the beginning, providing a link to a GitHub page called Automatic1111 for detailed instructions. The paragraph emphasizes the importance of installing Python first and offers a tip on how to determine whether a user's PC is 64-bit or 32-bit, which is crucial for selecting the correct Python installer.

05:07

🛠️ Continuing the Installation Process

The second paragraph continues the installation process by guiding the user through installing Git, a necessary tool for the next steps. The speaker provides a straightforward method for downloading and installing Git, emphasizing the simplicity of the process by following the 'Next' prompts. The paragraph then moves on to explain how to clone a repository using Command Prompt and how to execute the Stable Diffusion Web UI through a Windows patch file. The speaker reassures users that the installation is nearing completion and provides troubleshooting tips for potential errors.

10:10

🎨 Testing and Using Stable Diffusion Web UI

In the final paragraph, the speaker guides the user on how to test the newly installed Stable Diffusion Web UI. It begins with a demonstration of generating an image using the default model, showcasing the quality of the output. The paragraph then explains how to input positive and negative prompts for more control over the generated images. The speaker concludes by encouraging users to seek help in the comments section if they encounter any issues during the installation process, emphasizing a collaborative approach to problem-solving.

Mindmap

Keywords

💡Stable Diffusion Web UI

Stable Diffusion Web UI is a user interface designed to facilitate the use of the Stable Diffusion model, which is an AI tool for image generation. In the context of the video, it is the main subject of the installation tutorial, aiming to make this AI tool more accessible to users who may find the process of setting up the tool challenging. The video provides a step-by-step guide on how to install this interface, emphasizing its ease of use and the benefits it brings to the table for AI production tasks.

💡Installation

Installation refers to the process of setting up a software or application on a computer system. In the video, the term is central to the tutorial, which aims to guide users through the installation of the Stable Diffusion Web UI. The speaker emphasizes the importance of following each step carefully to ensure a successful installation and to make the tool available for use.

💡Python

Python is a high-level, interpreted programming language known for its readability and ease of use. In the context of the video, Python is a prerequisite for the installation of the Stable Diffusion Web UI. The speaker instructs viewers on how to determine the correct version of Python for their system and how to install it, which is crucial for the subsequent steps of setting up the AI tool.

💡Git

Git is a distributed version control system that allows developers to track changes in the code and collaborate on projects. In the video, Git is introduced as a necessary component for the installation of the Stable Diffusion Web UI. The speaker guides users through the process of downloading and installing Git, which is essential for cloning the repository needed for the AI tool.

💡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 execute commands for cloning the repository and running the Stable Diffusion Web UI. The speaker provides guidance on how to open the Command Prompt and use it effectively during the installation process.

💡Clone

To clone, in the context of software development, refers to the act of creating 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 the Stable Diffusion Web UI, as it involves downloading the necessary code and files from the GitHub repository to the user's local machine.

💡Web UI User Windows Patch

Web UI User Windows Patch refers to a specific file or patch within the Stable Diffusion Web UI package that is designed to facilitate the installation and use of the tool on Windows operating systems. In the video, this patch is used to complete the installation process, allowing users to run the Stable Diffusion Web UI through a user-friendly interface.

💡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. A 64-bit system can handle larger amounts of memory and is generally more efficient than a 32-bit system. In the context of the video, these terms are important for determining the correct version of Python and Git to install, ensuring compatibility with the user's computer system.

💡Repository

A repository, often abbreviated as repo, is a storage location where the complete history and all versions of a project or codebase are stored. In the context of the video, the repository is hosted on GitHub and contains the files necessary for the Stable Diffusion Web UI. Cloning the repository is a key step in the installation process, as it allows users to access and use these files locally.

💡Custom Installation

Custom Installation refers to the process of selecting specific features or components of a software to be installed, rather than installing all default features. In the video, custom installation is mentioned in the context of setting up Python, where the user is advised to check certain options to ensure all necessary components for running the Stable Diffusion Web UI are included in the installation.

💡Error Handling

Error handling is the process of addressing and resolving issues or problems that occur during the execution of a program or application. In the video, error handling is briefly mentioned in the context of troubleshooting the installation process of the Stable Diffusion Web UI. The speaker encourages users to seek help if they encounter any errors or difficulties during the installation.

💡Positive and Negative Prompts

Positive and Negative Prompts are terms related to the input given to AI models like Stable Diffusion for generating specific outputs. A positive prompt is a directive or suggestion that guides the AI to produce a certain type of content, while a negative prompt is used to avoid or exclude certain elements from the output. In the video, these concepts are introduced as part of the deeper functionality of the Stable Diffusion Web UI, which allows users to refine their AI-generated images with more control.

Highlights

The tutorial begins with an introduction to the Stable Diffusion Web UI, emphasizing its importance as a beneficial and widely used AI tool.

The speaker acknowledges the common perception that Stable Diffusion can be difficult to install, which may deter some users from trying it.

The tutorial aims to make the installation process accessible by covering all parts that might be missed, ensuring users can easily follow along.

A link to the GitHub page called Automatic1111 is provided for users to access the installation guide and necessary resources.

The first step in the installation process is to install Python, with detailed instructions on how to navigate to the correct version and download the installer.

Users are guided on how to determine whether their PC is a 64-bit or 32-bit version, which is crucial for selecting the appropriate Python installer.

A tip is provided to simplify the process of navigating through the Python installation by using the 'Control Click' method to avoid unnecessary pages.

After installing Python, the tutorial moves on to the second step, which involves installing Git with a straightforward process of downloading and running the installer.

The third step of the installation process involves cloning a repository using the command prompt, which is made easier by copying and pasting the provided command.

The final step in the installation is running the Stable Diffusion Web UI user Windows patch file, which completes the setup and allows for future executions.

The tutorial provides a method to check if the installation was successful by looking for a new folder named 'Stable diffusion web UI' in the C drive.

Instructions are given on how to launch the Stable Diffusion Web UI by double-clicking the 'web UI user in the Windows patch file'.

The tutorial concludes with a test of the installed software by creating an image, demonstrating the functionality and quality of the Stable Diffusion model.

The speaker encourages users to seek help in the comments section if they encounter any issues during the installation process, promoting a collaborative problem-solving approach.

The tutorial emphasizes the ease of turning off the Stable Diffusion Web UI by using the 'Ctrl C' command in the command prompt window.

The process of turning the Stable Diffusion Web UI back on is explained, involving navigating to the C drive and double-clicking the 'web UI user match file'.

The tutorial wraps up with a positive reinforcement, thanking the viewers for their efforts and encouraging them to explore the capabilities of the newly installed Stable Diffusion Web UI.

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