LoRA学習用kohya_ss GUIインストール方法変更後の手順解説 stable diffusion WEB-UI AIイラスト【ゆっくり解説】【VOICEROID解説】
TLDRThe video script outlines a step-by-step guide for setting up and installing Stable Diffusion, including the necessary prerequisites like Python and Git. It details the process of creating a folder for the software, using the command line for installation, and downloading additional files. The guide also touches on potential issues and solutions, such as verifying file paths and executing commands to proceed with the setup. The video aims to make the process accessible and straightforward for users, emphasizing the importance of following instructions carefully to avoid errors and ensure a successful setup.
Takeaways
- 🗑️ The user mistakenly deleted a folder containing Stable Diffusion, which was moved to the trash and emptied.
- 🔄 The user attempted to recreate the previous setup for Stable Diffusion but encountered difficulties.
- 🤔 There is a possibility of triple play, but the user is unsure about the specifics of the process.
- 📂 The user is advised to reinstall Python and git as part of the preparation for setting up Stable Diffusion.
- 🖥️ It is recommended to install Visual Studio as well, as the user's environment might require it for certain tasks.
- 🔧 After installing the necessary tools, the user should create a folder to manage and store Stable Diffusion and related data effectively.
- 📌 The user is guided to open a terminal in the folder where they wish to store the Stable Diffusion setup and execute commands to proceed with the setup.
- 🔗 The user is provided with a link to the Visual Studio page and instructed on how to download and install it.
- 📋 The script includes detailed instructions on navigating the terminal, executing commands, and proceeding with the setup through various prompts.
- 🚀 Once the setup is complete, the user can access the Stable Diffusion GUI for further actions and updates.
- 🔄 The user is informed about the availability of update badges for future GUI updates and how to execute them.
Q & A
What was the issue with the Stable Diffusion folder initially?
-The issue was that the Stable Diffusion folder was accidentally moved to the trash and the trash was emptied, which led to the loss of the folder.
What is the recommended version of Python for the setup?
-The recommended version of Python is 3.10.9, but the script mentions that version 3.1.6 also works.
Why is it suggested to install Visual Studio with the setup?
-Visual Studio is suggested because it might be required for certain components to work properly in the user's environment, although it's not strictly necessary for all users.
How does one open the terminal in the correct folder?
-You can right-click on an empty space in the folder, select 'Open terminal here,' or use the Windows key + X menu and click on 'Terminal' if the 'Open terminal here' option is not available.
What is the purpose of the commands executed in the terminal?
-The commands are used to navigate to the folder where Stable Diffusion is installed and to execute the setup process for the software.
What is the significance of the '荒野SS' folder in the setup process?
-The '荒野SS' folder is where the Stable Diffusion software and related files are placed, and it's used to execute the setup and update processes.
How can you update the GUI in the future?
-To update the GUI, you can double-click the 'Upgrade.bat' file in the '荒野SS' folder to perform the update.
What is the purpose of the additional files that need to be downloaded?
-The additional files are required for certain optimizations and are recommended by the official sources to improve learning speed.
What is the recommended way to open the GUI after the initial setup?
-After the initial setup, you can simply double-click the 'gui.bat' file in the '荒野SS' folder to open the GUI.
Why was there a change in the setup method from the previous one?
-The change was made to be more user-friendly by reducing the number of manual steps and commands, thus minimizing the chances of user error.
Where can users find more information on operating the GUI and preparing the necessary learning data?
-Users can refer to another video mentioned in the script for detailed instructions on GUI operation and learning data preparation.
Outlines
📂 Accidental Deletion and Reinstallation of Stable Diffusion
The speaker recounts an incident where they accidentally deleted a folder related to Stable Diffusion, a machine learning model, and had to reinstall it. They describe the process of emptying the trash and the potential for similar accidents with triple play. They mention the importance of the context and the desire to recreate the environment with a focus on installing Python, Git, and Visual Studio. The speaker also provides a link for the Visual Studio page and instructions for downloading and installing it, emphasizing the importance of these tools for the setup.
🔧 Troubleshooting and Setup of Stable Diffusion
The speaker continues with the setup process of Stable Diffusion, discussing the creation of a folder for the project and the importance of organizing files. They guide through opening a terminal in the folder and navigating to the correct path. The speaker then provides a series of commands to be executed in the terminal for the setup, including downloading necessary files and running specific commands. They also mention the possibility of errors and how to handle them, emphasizing the importance of following the instructions carefully. The speaker concludes with the successful launch of the Stable Diffusion GUI and the recommendation to watch another video for detailed operation instructions.
Mindmap
Keywords
💡Stable Diffusion
💡Python
💡Git
💡Visual Studio
💡Installation
💡Terminal
💡Command Prompt
💡Download
💡Setup
💡Folder
💡Error
Highlights
The user accidentally deleted the Stable Diffusion folder, which contained important files.
The user attempted to reinstall Stable Diffusion and faced issues with the previous method.
The user was advised to install Python and git as prerequisites for Stable Diffusion.
Visual Studio was recommended for installation to avoid potential issues in the user's environment.
The user was guided through the process of installing Visual Studio, including downloading the x64 version.
The user was instructed to create a folder for organizing the Stable Diffusion installation and data.
The user was advised on how to open a terminal in the correct folder for further setup.
The user was given a series of commands to execute in the terminal for setting up Stable Diffusion.
The user was informed about the recommended Python version for Stable Diffusion, despite having an older version.
The user was provided with instructions on how to download a necessary file for the setup.
The user was guided through the process of extracting the downloaded file into the correct folder.
The user was instructed on how to execute the final setup commands to initiate the Stable Diffusion learning GUI.
The user was informed about the availability of an upgrade button for future updates to the Stable Diffusion GUI.
The user was provided with alternative methods to open the GUI, such as using a .bat file or a setup.bat button.
The user was encouraged to watch another video for detailed instructions on operating the GUI and preparing the necessary learning data.
The user was informed about the reasons for the change in the setup process, aiming to reduce user errors and improve user-friendliness.
The user was reminded of the importance of the continuous updates and improvements to the Stable Diffusion system.