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

DigiClau (디지클로) Lab
8 Nov 202310:08

TLDRThe video script introduces a method for installing Stable Diffusion for both new and experienced users. It highlights the ease of installation through the Automatic 111 method and the benefits of using the Stability Matrix platform, which supports various UIs like A1 and Compu UI. The script also covers the system requirements, portable nature of the setup, and the ability to share checkpoint models across different versions of Stable Diffusion. It demonstrates the creation of an image using the platform and emphasizes the program's simplicity, versatility, and the efficient management of models through the built-in model browser.


  • 😀 Stable Diffusion is accessible for both new and existing users, offering easy installation methods.
  • 📥 One-click installation is available via the official website, making it straightforward to set up Stable Diffusion.
  • 🖥️ System requirements for running Stable Diffusion include Windows 10 or higher, 10GB disk space, 8GB memory, and at least 4GB GPU VRAM.
  • 🔧 Though AMD GPUs are not officially supported, tweaks can make them compatible.
  • 🌐 The installation process involves downloading a single file from the official GitHub page, ensuring a simple setup.
  • 🔄 The software is portable, allowing it to be transferred and used across different devices easily.
  • 🛠️ Customization options are available, including UI configurations and memory usage settings, enhancing user experience.
  • 📦 Stable Diffusion includes various models and packages, with an easy selection process for different use cases.
  • 👨‍💻 The interface provides a user-friendly environment for image generation, with inference and asset management capabilities.
  • 🚀 Launching the application is quick, with a guided setup and the ability to download essential models for immediate use.

Q & A

  • What is the main topic of the video script?

    -The main topic of the video script is the installation and use of Stability Matrix, a platform for using different versions of SD (Stable Diffusion) models.

  • Who is the intended audience for the video script?

    -The intended audience for the video script includes both beginners who are new to Stability Matrix and users who are already familiar with it.

  • What is the significance of the 'Automatic 111' installation method mentioned in the script?

    -The 'Automatic 111' installation method is a user-friendly approach that simplifies the process of installing Stability Matrix, making it accessible to a wider range of users.

  • What are A1, Conpy UI, and SD Neck mentioned in the script?

    -A1, Conpy UI, and SD Neck are different components of the Stability Matrix platform. A1 is a user interface designed for general users, Conpy UI is another UI option that many users prefer, and SD Neck is a specific version of the SD model available for use.

  • How is the Stability Matrix official website utilized in the script?

    -The Stability Matrix official website is used to download the necessary files for installation and to access more detailed information about the software and its components.

  • What are the minimum system requirements for using Stability Matrix?

    -The minimum system requirements for using Stability Matrix include Windows 10 or higher, 10GB of disk space, 8GB of memory, and a GPU with at least 4GB of VRAM. AMD GPUs are not officially supported, but with some adjustments, they can be made to work.

  • How does the portability feature of Stability Matrix work?

    -The portability feature allows users to move the Stability Matrix installation between different drives or computers by simply transferring the main folder containing all related files.

  • What options are available during the installation process of Stability Matrix?

    -During the installation process, users can choose which components to install (such as A1, Conpy UI, SD Neck), set the name and port for the installation, and decide whether to make the installation portable.

  • How can users add additional SD packages to Stability Matrix?

    -Users can add additional SD packages by clicking the 'Add Package' button after the initial installation and selecting the desired packages from the list.

  • What is the purpose of the 'Data' folder in the Stability Matrix program?

    -The 'Data' folder stores all the essential files for the SD models and checkpoints. It contains links to the actual files, which helps save space by not duplicating the large model files across different SD packages.

  • How can users find and manage models within Stability Matrix?

    -Users can find and manage models through the built-in model browser, which connects to CB AI to search, install, and manage different models based on various criteria such as popularity, download count, and recency.

  • What customization features does Stability Matrix offer?

    -Stability Matrix offers customization features that allow users to tailor their experience, including setting preferences for the types of models they want to find and use, as well as adjusting settings within the various UI components.



🔧 Introduction to Stable Diffusion Installation

This paragraph introduces viewers to an efficient method for installing Stable Diffusion, applicable for both newcomers and experienced users. It mentions a previous video that detailed a method involving the installation of 'Automatic 111' and further explains that the current interface, A1, and the popular Compu UI allow users to engage with a more detailed UI setting and option selection. The paragraph emphasizes the coexistence of different UIs and the introduction of Stability Matrix through the official website. It also outlines the one-click installation process of SD, its free nature, and the automatic integration with CB AI. The video provides a quick look at the minimum system requirements and the portable nature of the software, emphasizing its adaptability and ease of use across different drives and computers.


🎨 Exploring the Capabilities of Stable Diffusion

The second paragraph delves into the capabilities of Stable Diffusion, showcasing its ease of use in creating simple images, such as a cute cat. It highlights the process of launching the software through a web browser and the selection of checkpoint models. The paragraph also discusses the benefits of using Compu UI, including its inference tab which aids in word suggestion for image creation. It touches on the efficient use of memory and the ability to share models across different SD packages without the need for multiple installations. The paragraph concludes by demonstrating the creation of another image, emphasizing the software's features and its user-friendly interface.


📚 Understanding the File Structure and Customization Options

The final paragraph provides insights into the file structure of Stability Matrix, explaining the shared nature of SD packages and models across different interfaces like A1 and Compu UI. It clarifies the distinction between actual files and link files within the data folder, highlighting the efficient use of storage space. The paragraph also introduces the model browser within the portable git folder, allowing users to search, install, and manage CB AI models. It discusses the customization features of Stability Matrix, such as setting preferences for model search and sorting, and the ability to filter based on various criteria like recency and popularity. The paragraph concludes by recommending Stability Matrix to both beginners and experienced users for its simplicity and ease of use in managing and updating SDL models.



💡Stable Diffusion

Stable Diffusion is a term used in the context of AI and machine learning, referring to a specific type of model that generates images or text based on given prompts. In the video, it is the primary subject and the technology that the tutorial is centered around. The script discusses the installation and usage of Stable Diffusion, highlighting its features and benefits.


Installation refers to the process of making a software or program ready for use on a device. In the context of the video, it details the steps required to install Stable Diffusion and related packages on a computer. The script emphasizes the simplicity and ease of the installation process, which is a key aspect for users new to the technology.


Auto-installation is a process where software is installed with minimal user input, often with a single click or command. It simplifies the setup and makes it accessible to users who may not be technically proficient. In the video, auto-installation is highlighted as a feature that streamlines the process of getting started with Stable Diffusion.

💡UI (User Interface)

User Interface, or UI, is the space where interactions between users and a computer system occur. It includes the design and layout of the screens, buttons, and other visual elements that users interact with. In the video, different UIs like A1 and 콘피 UI are mentioned, each offering varying levels of complexity and user-friendliness.

💡Checkpoint Model

A Checkpoint Model in the context of AI models refers to a saved state of the model at a particular point in time. This allows users to continue from that point or to use the model's state for further processing. The video script mentions the sharing and use of checkpoint models within the Stable Diffusion framework, emphasizing the ease of sharing and continuing work across different setups.


Portable, in the context of software, refers to the ability to run the application from a portable storage device without needing a formal installation. The video script highlights the portable nature of the Stable Diffusion setup, allowing users to move their work between different computers with ease.

💡GPU (Graphics Processing Unit)

A Graphics Processing Unit, or GPU, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the context of the video, GPU is an essential hardware component for running AI models like Stable Diffusion, with a minimum requirement of 4GB for optimal use.


Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability and simplicity. In the context of the video, Python is the programming language that is integrated with the Stable Diffusion setup, eliminating the need for users to install it separately.

💡Web Browser

A web browser is a software application for accessing information on the World Wide Web. It is a core component of the internet experience, allowing users to interact with and view web pages. In the video, once the Stable Diffusion setup is complete, users can launch it through a web browser to start creating images or other outputs.


Inference in the context of AI and machine learning refers to the process of making predictions or decisions based on a model's learned patterns. In the video, the script discusses using the Stable Diffusion model to generate images, which involves running inferences based on user inputs or prompts.


Search refers to the act of looking for specific information or content within a larger set of data. In the context of the video, it is used to find and manage different AI models or packages within the Stable Diffusion framework. The script highlights the search functionality as a way to easily find and install new models or packages.


An introduction to Stable Diffusion for new and experienced users, providing a straightforward installation method.

The method involves installing Automatic 111, which is a user-friendly interface for various levels of users.

A1 and Conpy UI are popular choices among users, each with their own strengths and weaknesses.

The video introduces Stability Matrix, an official website where users can download the software for free and integrate with CB AI.

The one-click installation process is simple and convenient, allowing users to start using Stable Diffusion with ease.

The software is portable, meaning it can be moved to different drives or computers without the need for reinstallation.

The minimum system requirements include Windows 10 or higher, 10GB of disk space, 8GB of RAM, and a GPU with at least 4GB of memory.

While AMD GPUs are not officially supported, some users have reported success with a few adjustments to the settings.

The software includes a variety of options and settings for users to customize their experience with Stable Diffusion.

Users can choose to install additional SD packages, such as A1, Conpy UI, and SD Next, expanding their options for creating content.

The software allows for the use of checkpoint models, enabling users to share and use models easily within the platform.

The portable nature of the software means that all related files are stored within the Stability Matrix folder, making it easy to transfer or delete.

The installation process is detailed, providing users with clear instructions on how to proceed with the setup.

The software is designed to be user-friendly, with options to adjust settings such as post processing and port selection.

Users can create and manage models through the model browser, which is integrated into the portable Git folder.

The software offers customization features, making it easy for users to update and manage their Stable Diffusion experience.

The video demonstrates the creation of a simple image using Stable Diffusion, showcasing the software's capabilities.

The software allows users to search for and install various models, providing a wide range of options for content creation.

The video concludes by recommending Stability Matrix to both new and experienced users of Stable Diffusion, emphasizing its ease of use and functionality.