日本一わかりやすいStableDiffusion WebUI AUTOMATIC1111(ローカル版)のインストール方法と基本的な使い方
TLDRThe video script introduces viewers to the world of AI-generated illustrations, specifically focusing on the 'stable diffusion web UI, Automatic 1111' software. It guides users through the installation process on a computer with high specifications, emphasizing the need for a Windows 10 or later operating system and an NVIDIA graphics card. The tutorial covers the installation of necessary prerequisites like Python and Git, and the acquisition of models from platforms like Hugging Face. The script provides detailed instructions on using the software, including tips on writing effective prompts, applying VAE for texture improvement, and adjusting settings for better image quality. It also introduces various models suitable for different illustration styles and concludes by highlighting the rapid advancements in AI illustration.
Takeaways
- 🖥️ High computer specifications are required to run AI image-generating software, preferably with Windows 10 or later OS, an NVIDIA graphics card, and at least 4GB of VRAM.
- 💻 The software installation process involves downloading Python 3.10.6, Git, and cloning the Stable Diffusion Web UI repository, with attention to using single-byte characters for folder names.
- 🎨 AI-generated illustrations can be customized using various models available on platforms like Hugging Face, which cater to different styles such as anime or live-action.
- 🔍 To install a model, it should be placed in the 'Models' folder of the Stable Diffusion Web UI, and the software should be restarted to recognize the new model.
- 🌐 The web UI for Stable Diffusion provides multiple functions like Text to Image (T2i), Image to Image (I2i), Inpaint, and Extra for upscaling images.
- 📝 Prompts are crucial for guiding the AI in generating desired images, and they can be refined using quality spells, style, environment, and main-body descriptors.
- 🔧 VAE (Variational Auto Encoder) is used to adjust the texture and finish of AI-generated images, and it can be applied manually or automatically within the software.
- 🔄 Emphasized spells can be used to prioritize certain attributes in the generated images by using brackets and numbers to control the emphasis level.
- 🔄 The sampling method, steps, and other settings in the software can significantly affect the output, allowing for fine-tuning of the image generation process.
- 🎭 AI illustration technology is rapidly evolving with new models and features being released, offering a wide range of possibilities for creating images across various styles and purposes.
Q & A
What is the main topic of the video?
-The main topic of the video is the installation and use of 'stable diffusion web UI, Automatic 1111', a popular AI image-generating tool.
What are the system requirements for running the AI tool mentioned in the video?
-The system requirements include a computer with Windows 10 or later, an NVIDIA graphics card with at least 4GB of video memory (preferably 12GB), about 30GB of SSD drive space, and the ability to handle high specifications.
How can one check their computer's operating system version?
-To check the operating system version, press Windows and R keys simultaneously, select the file name, enter DXDIAG, and view the operating system section in the system tab on page 1 of the DirectX diagnosis tool.
Why is it recommended to install the AI tool on an SSD rather than a hard disk?
-It is recommended to install the AI tool on an SSD because the tool consumes a lot of capacity and working with a hard disk can result in slow performance and potential data loss or corruption.
What is the purpose of Python in the context of this AI tool installation?
-Python is a programming language required for the installation and operation of the AI tool. It needs to be installed and added to the PATH to execute commands and run the program smoothly.
How can users obtain the models needed for the AI image-generating tool?
-Users can obtain models by accessing the Hugging Face website, searching for the desired model, and downloading the appropriate .checkpoint or .safetensors file.
What is VAE in the context of AI-generated illustrations?
-VAE stands for 'Variational Auto Encoder'. In AI-generated illustrations, it is used to slightly change the finish of the image, affecting the texture and quality of the output.
How does the video demonstrate the use of emphasized spells in AI-generated images?
-The video demonstrates the use of emphasized spells by placing certain attributes in brackets or using numbers to increase or decrease their impact on the generated image, allowing for more control over specific features.
What are some of the models recommended by the video creator for generating AI illustrations?
-Some recommended models include Anything V3, ACertainthing, Seventh Anime V3, Abyss Orange Mix 3, Counterfeit V2.5, Pastel Mix, and Basil Mix, each with its unique characteristics and strengths.
How can users improve the quality of AI-generated images?
-Users can improve the quality of AI-generated images by using quality spells, applying VAE, adjusting the sampling method and steps, and tweaking settings like width, height, and CFG scale to better match the desired output.
Outlines
🖌️ Introduction to AI-Generated Illustrations
The paragraph introduces the concept of AI-generated illustrations and their growing popularity. It explains how even without drawing skills, one can create character illustrations using AI. The focus is on image-generating AI and the introduction of a specific software, 'stable diffusion web UI, Automatic 1111', which is used in a local environment. The speaker shares that the instructions are based on the software's usage in February 2023 and may change in the future. The paragraph also outlines the necessary computer specifications for running the software, recommending a Windows OS after Windows 10 and an NVIDIA graphics card with at least 4GB of video memory. The importance of having sufficient drive space and the use of an SSD for faster performance is emphasized. The paragraph concludes with instructions on how to check the operating system and file extensions.
💻 Preparing and Installing the Software
This paragraph delves into the preparation and installation process of the Stable Diffusion Web UI software. It begins with downloading the latest stable version for 64-bit Windows and choosing an installation directory, advising against using double-byte characters in folder names to avoid potential issues. The paragraph then guides the user through creating a new folder on the D drive and accessing the command prompt to clone the software files from Github. The user is reminded that additional models are needed for the software to function, leading to a tutorial on selecting and downloading a model from Hugging Face. The process of installing the necessary Python and Git components is also detailed, along with the importance of adding Python to the system PATH. The paragraph concludes with the first-time launch process and the expected waiting period.
🌐 Accessing the Web UI and Initial Setup
The paragraph describes the process of accessing the Stable Diffusion Web UI after installation. It explains the waiting time for the first launch, which depends on the machine's performance, and what to expect once the software is ready. The user is guided on how to copy the local URL from the command prompt and paste it into the browser to access the web UI. The paragraph also covers the registration of the web UI page for easier access in the future and provides an overview of the web UI's interface. It introduces the different tabs available, such as Text to Image, Image to Image, Inpaint, and Extra, explaining their functions briefly. The paragraph then focuses on the Text to Image tab, where users can generate images from text prompts, and explains the importance of the model currently in use, which can be checked on the top left of the screen.
🎨 Generating Images with AI: Basics and VAE
This paragraph teaches the basics of generating images using AI, specifically within the Text to Image tab. It explains how to write prompts to guide the AI in drawing the desired illustration and how to use negative prompts to exclude certain elements. The paragraph introduces the concept of VAE (Variational Auto Encoder), which affects the texture of the illustration, and guides the user through downloading and applying a VAE file to improve the output quality. The process of using PNG Info to understand and reuse the settings of previously generated images is also discussed. The paragraph emphasizes the importance of the order and choice of words in prompts and provides tips on how to write effective prompts for AI-generated illustrations.
🔧 Advanced Settings and Emphasized Spells
The paragraph explores advanced settings and features within the AI illustration software. It discusses the different sampling methods available for generating images and their impact on the output quality and generation time. The concept of emphasized spells is introduced, explaining how to use brackets and numbers to increase or decrease the importance of certain prompts. The paragraph also covers the use of various settings such as width, height, batch counts, and CFG scale, and how they affect the final illustration. The importance of balancing these settings to avoid deformations and maintain the desired output is highlighted. The paragraph concludes with a reminder about the potential risks of overemphasizing certain elements, which could lead to undesirable results.
🌟 Exploring Different Models and Conclusion
The final paragraph of the script encourages users to explore different models available for AI-generated illustrations. It introduces a variety of models, each with unique characteristics and strengths, such as 'Anything V3', 'ACertainthing', 'Seventh Anime V3', 'Abyss Orange Mix 3', 'Counterfeit V2.5', 'Pastel Mix', and 'Basil Mix'. The paragraph emphasizes the diversity and quality of these models, suggesting that they can produce illustrations of a level suitable for printing and display. The speaker expresses excitement about the rapid progress in AI illustration and the continuous release of new models and features worldwide. The video concludes with a friendly farewell, promising to see the viewers in the next week's content.
Mindmap
Keywords
💡AI-generated illustrations
💡Live2D
💡stable diffusion web UI
💡NVIDIA graphics card
💡SSD
💡Github
💡Python
💡Git
💡Hugging Face
💡VAE
💡prompts
Highlights
AI-generated illustrations are becoming increasingly popular and accessible, allowing users to create their own character illustrations without the need for drawing skills.
The use of Live2D and a web camera enables the creation of illustrations that are half hand-drawn and half AI-generated.
The "stable diffusion web UI, Automatic 1111" is a popular tool for generating images using AI, which can be installed and run in a local environment.
High computer specifications are required for running AI image generation software, with recommendations for Windows 10 or later and an NVIDIA graphics card with at least 4GB of video memory.
Python and Git are essential components to install before beginning the setup of the AI image generation tool.
The importance of using single-byte characters in folder names when installing foreign software to avoid potential errors.
Models are essential for AI-generated images, with different models catering to various illustration styles such as anime characters or live-action.
Hugging Face is a platform where users can find and download different models for AI-generated illustrations.
The process of installing and using the AI image generation tool is detailed, including the steps for setup and the necessary configurations.
VAE (Variational Auto Encoder) is used to improve the texture and finish of AI-generated illustrations, offering a clearer and more defined output.
The interface of the AI tool includes various tabs for different functions such as Text to Image, Image to Image, Inpaint, and Extra for upscaling images.
Prompts are crucial in defining the attributes and characteristics of the AI-generated illustrations, with quality prompts enhancing the overall output.
The use of emphasized spells and brackets can help fine-tune specific features of the AI-generated images, such as emphasizing a flat chest or a particular style.
The video provides a comprehensive guide on how to install and use the AI image generation tool, including tips on settings and recommended models for different illustration styles.
The AI tool offers a variety of settings and options, such as sampling methods, resolution, and CFG scale, allowing users to customize their image generation process.
The video concludes with a showcase of different models and their unique features, highlighting the versatility and potential of AI-generated illustrations.