Install Stable Diffusion Locally (In 3 minutes!!)

Royal Skies
2 Oct 202203:41

TLDRThis tutorial guides users through installing Stable Diffusion locally, a process made possible by a dedicated patron. It covers creating accounts on GitHub and Hugging Face, downloading necessary programs and files, and setting up the environment on Windows. The video also offers tips for using the software effectively, including troubleshooting for slower computers, and concludes with a reminder of the software's capabilities and where to find saved images.

Takeaways

  • 🤖 Start by creating accounts on GitHub and Hugging Face, which are essential for the installation process.
  • 🖥️ For Windows users, download and install the necessary software from getforwindows.org with default settings.
  • 📂 Create a new folder named 'AI' on the C drive to organize the downloaded files and applications.
  • 🔗 Use the link provided in the video description to clone the web UI repository using Git Bash.
  • 📱 Download the latest version of Stable Diffusion from Hugging Face, which is a significant file that may take some time to download.
  • 🎨 The GIF begin face restoration add-on is recommended for enhancing character creation within the application.
  • 🐍 Install Python 3.10.6, which is the version compatible with the script's instructions.
  • 📁 Place the downloaded GIF Gan face restoration and Stable Diffusion files into their respective folders within the 'AI' directory.
  • 🚀 After installing Python and the necessary files, run the main web UI batch file to initiate the application and its dependencies.
  • ⏱️ Be patient during the installation process, which may take between 20 to 40 minutes or more.
  • 🖼️ Once the setup is complete, users can generate images using the Stable Diffusion web UI and save them in the 'outputs' folder.
  • 🛠️ If facing performance issues on less powerful computers, modify the batch file with the provided code to optimize the software's performance.

Q & A

  • What is the main purpose of this tutorial?

    -The main purpose of this tutorial is to guide users through the process of installing Stable Diffusion locally on their computers without any filters.

  • Who supported the creation of this tutorial?

    -This tutorial was made possible by a dedicated member of the patron support squad who volunteered to help and spent hours walking the creator through the process on Discord.

  • What type of graphics card does the creator of the tutorial have?

    -The creator of the tutorial has an Nvidia graphics card, and notes that the process might differ for users with an AMD setup.

  • What are the first two websites the user should create an account on?

    -The first two websites the user should create an account on are GitHub and Hugging Face.

  • What program should be downloaded from getforwindows.org?

    -The program to be downloaded from getforwindows.org is not specified by name in the transcript, but it is implied to be necessary for the setup process.

  • Where should the user create a new folder after installing the program from getforwindows.org?

    -The user should create a new folder called 'AI' on their C drive after installing the program from getforwindows.org.

  • How long did it take for the creator to download the latest version of Stable Diffusion?

    -It took the creator approximately 20 minutes to download the latest version of Stable Diffusion.

  • What add-on is recommended for users making characters with Stable Diffusion?

    -The GIF begin face restoration add-on is recommended for users making characters with Stable Diffusion.

  • Which version of Python worked for the creator during the setup process?

    -The version of Python that worked for the creator during the setup process was 3.10.6.

  • What should the user do if the installation process takes longer than an hour and the screen doesn't change?

    -If the installation process takes longer than an hour and the screen doesn't change, the user should press enter in the black screen to resume the download.

  • How can users abort the image generation process in Stable Diffusion?

    -Users can abort the image generation process in Stable Diffusion by clicking the 'Generate' button again.

  • What can users do if they encounter performance issues due to not having a powerful computer?

    -If users encounter performance issues, they can try adding a specific piece of code into the batch file as suggested in the tutorial and then attempt to run the software again.

Outlines

00:00

💻 Installing Stable Diffusion Locally

The paragraph outlines the process of installing Stable Diffusion on a local machine, emphasizing the contribution of a dedicated patron, Penguin Dragon. It mentions the use of an Nvidia graphics card and provides a step-by-step guide on creating accounts on GitHub and Hugging Face, downloading necessary programs like GetforWindows, and setting up the environment on the user's C drive. The instructions continue with obtaining the web UI link from the description, cloning the repository, and downloading the latest version of Stable Diffusion and its add-ons. It also covers the installation of Python and the placement of necessary files in the designated folders. The paragraph concludes with troubleshooting tips and the final steps to access the Stable Diffusion interface.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from text prompts. In the context of the video, it is the main software being installed and utilized, allowing users to create visual content by inputting textual descriptions.

💡GitHub

GitHub is a web-based platform that provides version control and collaboration features for software development. In the video, creating an account on GitHub is one of the initial steps to access and download the Stable Diffusion model and related resources.

💡Hugging Face

Hugging Face is an AI company that provides a platform for developers to share and use pre-trained models, including Stable Diffusion. In the video, users are directed to Hugging Face to download the latest version of Stable Diffusion and additional add-ons.

💡Nvidia Graphics Card

An Nvidia Graphics Card is a hardware component designed to process complex graphical data efficiently. The video mentions the use of an Nvidia graphics card for running Stable Diffusion, suggesting that the card's processing power is beneficial for AI image generation tasks.

💡Windows

Windows is an operating system developed by Microsoft, used widely across personal computers. In the video, the installation process is tailored for Windows users, providing specific instructions for setting up the software on this platform.

💡Python

Python is a high-level programming language known for its readability and ease of use. It is essential in the installation process of Stable Diffusion as it is the language in which the AI model and its associated tools are often written and executed.

💡Web UI

Web UI refers to a graphical user interface that is accessed through a web browser. In the context of the video, the Web UI is the interface through which users interact with Stable Diffusion after installation, inputting text prompts and generating images.

💡GIF Begin Face Restoration

The GIF Begin Face Restoration is an add-on for Stable Diffusion that enhances the process of creating and refining character images. It is specifically designed to improve the quality and realism of faces in generated GIFs.

💡Command Prompt

The Command Prompt is a command-line interface on Windows systems that allows users to interact with the operating system using text commands. In the video, it is used to execute batch files and monitor the status of the Stable Diffusion image generation process.

💡Batch File

A Batch File is a script file containing a series of commands to be executed by the Windows Command Prompt. In the context of the video, the main web UI user batch file is双击启动 to initiate the Stable Diffusion setup and image generation process.

💡Output Images

Output Images refers to the final visual content generated by the Stable Diffusion model based on the input text prompts. These images are the end result of the AI's processing and can be saved and viewed by the user.

💡Performance Optimization

Performance Optimization involves making adjustments to software or hardware settings to improve the efficiency and speed of a system's operation. In the video, this concept is addressed when discussing potential issues on less powerful computers and the solution of inserting a code snippet into the batch file to enhance the software's performance.

Highlights

The tutorial is made possible by a dedicated patron support squad member who volunteered to share the process.

The user is running an Nvidia graphics card, but the process may vary for AMD setups.

Creating an account on GitHub and Hugging Face is necessary, both of which are free.

Downloading and installing necessary programs from getforwindows.org is the first technical step.

Creating a new folder on the C drive for the AI setup is recommended.

Using the command line to clone the web UI from the provided link in the description.

Downloading the latest version of Stable Diffusion from Hugging Face, currently version 1.4.

Downloading the GIF Begin Face Restoration add-on for character creation enhancement.

Installing Python 3.10.6 for the setup, with specific versions depending on the user's machine.

Placing the downloaded files into the designated folders within the AI directory.

Executing the main web UI batch file to initiate the installation of required components.

Monitoring the installation process, which may take between 20 to 40 minutes.

Using the black screen to pause downloads if no progress is noticed after an hour.

Once the installation is complete, a URL is provided to access the Stable Diffusion interface.

Custom settings and options are available in the local setup that are not present on the website.

The process to abort image generation if it takes too long by clicking the generate button again.

Instructions on how to save and locate the generated images under the 'outputs' folder.

A solution for users with less powerful computers is provided by adding a specific code to the batch file.

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