【Stable-Diffusion】🔰導入後はまずはこの3つを入れよう! #stablediffusion #prompt_all_in_one #vae #easynegative

ざすこ (道草_雑草子)
5 Nov 202319:25

TLDRThe video script is a comprehensive guide for beginners in AI image generation, focusing on the use of Stability Diffusion. It introduces three essential steps to enhance image quality post-installation: installing essential extensions, utilizing VAE for image refinement, and managing negative prompts with EaseNegative. The tutorial aims to help users generate high-quality images without the need for complex English text inputs, making the process more intuitive and accessible.


  • 🎨 Introduction to AI image generation for beginners, focusing on Stable Diffusion and its setup.
  • 📂 Installation of essential extensions like 'Prompt from URL' for easier operation without memorizing complex English commands.
  • 🔄 Use of Google Translate API for automatic translation within the Stable Diffusion interface.
  • 🌐 Downloading and integrating VAE (Variational Autoencoder) for image quality enhancement.
  • 🔧 Adjusting settings like 'Check for Updates' and 'Apply Updates' to ensure the latest version for optimal performance.
  • 🎯 Utilizing 'Negative Prompts' to refine image generation and avoid unwanted features.
  • 📚 Introduction to 'Hanging Face' and its utility in improving image generation quality.
  • 🌟 Demonstration of how to generate images with various prompts and settings, such as clothing and facial expressions.
  • 🔄 Fixing common issues like hand positioning by using 'Negative Prompts' to guide the generation process.
  • 🎢 Exploring different 'Scenes' and 'Items' to customize the generated images within the Stable Diffusion interface.
  • 📈 Tips on improving image quality by adjusting settings and experimenting with different combinations of prompts and features.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is an introduction to AI image generation, specifically focusing on the use of Stability Diffusion for beginners.

  • What is the first step in setting up the initial environment for AI image generation?

    -The first step is to install the 'Prompt Infusion' extension from the extension repository.

  • How does one install the 'Prompt Infusion' extension?

    -To install the 'Prompt Infusion' extension, one needs to copy the URL provided in the extension's repository and paste it into the 'Install from URL' section in the Extensions tab.

  • What is the purpose of the 'Google Translate' API in the script?

    -The 'Google Translate' API is used for automatic translation, allowing users to work with prompts in different languages without needing to memorize complex English text.

  • What is VAE and how does it contribute to the image generation process?

    -VAE, or Variational Autoencoder, is a tool used to improve the quality of generated images by making them more coherent and structured.

  • How can negative prompts be managed to avoid unwanted features in the generated images?

    -Negative prompts can be managed by using a feature that automatically includes a list of negative prompts, which can be downloaded and added to the system to prevent unwanted elements from appearing in the images.

  • What is the role of the 'Quick Settings' list in the UI?

    -The 'Quick Settings' list provides a convenient way for users to adjust common settings without having to navigate through complex menus, making the image generation process more efficient.

  • How does the video script demonstrate the use of group tags for image generation?

    -The video script demonstrates the use of group tags by showing how users can select different environments and items, such as a water park or a school uniform, to generate images with specific themes and elements.

  • What is the significance of the 'Seed' value in image generation?

    -The 'Seed' value is crucial for generating images with consistent and reproducible results. By fixing the seed value, users can recreate the same image or generate variations of it with a consistent base.

  • How can users input prompts in their native language?

    -Users can input prompts in their native language, such as Japanese, and the system will automatically translate them into English for use in image generation, making the process more accessible and intuitive.

  • What is the recommendation for users who are new to image generation?

    -The recommendation for new users is to start by exploring the basic functionalities introduced in the video, such as 'Prompt Infusion', VAE, and 'Negative Prompts', and to experiment with different settings and options to understand how they affect the generation process.



🎨 Introduction to AI Image Generation for Beginners

This paragraph introduces the video's purpose, which is to explain information about AI image generation in an easy-to-understand way for beginners. It addresses a common issue faced by those who have introduced Stability Diffusion but are unsure about what to do next. The speaker empathizes with the difficulty of understanding various settings and aims to recommend an initial environment setup that will allow viewers to produce better images without needing to memorize complex English text.


🛠️ Setting Up Your Environment with Essential Extensions

The speaker guides viewers on how to set up their environment by installing essential extensions for Stable Diffusion. The process begins with launching the Stable Diffusion Web UI and adding an extension called 'Inspiration from URL'. The speaker then explains how to install the extension, check for updates, and restart the UI. The importance of setting the language to Japanese and configuring the automatic translation to Google Translate is also highlighted. The paragraph concludes with a brief demonstration of how to input prompts and generate images using the basic setup.


🔍 Improving Image Quality with VAE and Negative Prompts

This paragraph discusses the introduction of VAE (Variational Autoencoder) and the use of negative prompts to enhance image quality. The speaker provides a step-by-step guide on downloading and installing VAE, as well as how to add negative prompts to the setup. The aim is to reduce common issues such as distorted hands and wrists by incorporating negative prompts that prevent these anomalies. The speaker also mentions the intention to cover hand corrections in a separate video and demonstrates the generation of an image with the newly installed features.


🌟 Enhancing Creativity with Customization and Randomization

The speaker explores various ways to customize and randomize image generation using the established setup. This includes changing the scene, items, and character attributes such as hair style and clothing. The paragraph emphasizes the ease of creating targeted images without the need for complex English text input. The speaker also shows how to fix a seed value for consistent image generation and compares the quality of images with and without the newly introduced features. The goal is to demonstrate how beginners can intuitively operate and combine different elements to generate high-quality images.

📣 Conclusion and Encouragement for Further Exploration

In the concluding paragraph, the speaker summarizes the video's content, highlighting the introduction of three key features for beginners in AI image generation: the essential extension 'Prompt, All in One', the VAE for refining image quality, and the 'Negative Prompts' extension for simplifying the input of negative prompts. The speaker encourages viewers to use these tools and explores further customization options in future videos. The video ends with a call to action for viewers to subscribe to the channel and follow the speaker on Twitter for more content, emphasizing the educational and supportive nature of the channel.




AI画像生成 refers to the process of creating images using artificial intelligence. In the context of the video, it is the main theme where the creator uses AI tools to generate visual content based on prompts and other input data. The video provides a tutorial on how to use specific AI tools for beginners to generate images more efficiently and aesthetically pleasing.

💡ステーブル・ディフュージョン (Stability Diffusion)

Stability Diffusion is an AI-based image generation model that uses a diffusion process to create images from textual descriptions. In the video, the creator discusses how to set up and use Stability Diffusion for generating images, making it accessible for beginners who may find it challenging to navigate the technical aspects of the software.

💡拡張機能 (Extensions)

Extensions are add-on features or plugins that enhance the functionality of a software or application. In the video, the creator focuses on specific extensions for Stability Diffusion that help in image generation, such as the 'Prompt from URL' extension, which simplifies the process of inputting prompts for image creation.

💡プロンプト (Prompts)

Prompts are textual inputs or descriptions that guide the AI in generating specific images. They are crucial in AI image generation as they determine the content and style of the output. The video emphasizes the importance of crafting effective prompts to achieve desired results in image generation.

💡VAE (Variational Autoencoder)

VAE is a type of generative model that learns to generate data that is similar to a training set. In the context of the video, VAE is introduced as a tool to improve the quality and coherence of AI-generated images by refining the input data and adjusting the generation process.

💡ネガティブプロンプト (Negative Prompts)

Negative Prompts are phrases or terms that are used to guide the AI to avoid generating certain elements in the image. They are essential for fine-tuning the output and ensuring that unwanted features are excluded from the final image.

💡グループタグ (Group Tags)

Group Tags are categorizations or labels that help organize and filter the generation process in AI image creation tools. They allow users to quickly select and apply specific styles or themes to their images, streamlining the generation process and making it more intuitive.

💡クイック操作 (Quick Operations)

Quick Operations refer to the简便 and efficient methods of using AI tools for image generation without needing to understand complex technical details. The video emphasizes the ease of use and accessibility of these tools, allowing beginners to generate images by simply selecting options and inputting prompts without having to write complex code or commands.

💡自動翻訳 (Automatic Translation)

Automatic Translation is a feature that allows AI tools to translate textual inputs from one language to another, enabling non-English speakers to use the tools effectively. In the video, the creator sets up automatic translation to Google Translate, allowing users to input prompts in their native language and have them translated for the AI to process.

💡シード値 (Seed Value)

Seed Value is a unique identifier used in AI image generation to ensure consistency and reproducibility of the generated images. By using the same seed value, users can recreate the same image or a similar one with minor variations, providing control over the generation process.

💡AI道草 (AI Commentary)

AI道草 is a term used in the context of the video to describe the creator's humorous and lighthearted commentary on the process of using AI tools for image generation. It adds an entertaining element to the tutorial, making the content more engaging and enjoyable for the audience.


Introduction to AI image generation for beginners, emphasizing clarity and accessibility in explanations.

Discussion of challenges faced by users new to Stable Diffusion, such as understanding prompts and creating quality images.

Recommendations for initial setup after installing Stable Diffusion to improve image generation results.

Tutorial on launching Stable Diffusion and using stablediffWEBUI.

Demonstration of installing an easy-to-use extension for better control over image generation.

Explanation of the use of a specific extension to effortlessly insert prompts.

Setting up automatic translation for prompts using Google's free translation service.

Overview of the convenience in the environment setup with installed extensions.

Guidance on customizing the interface for a more user-friendly experience.

Instructions on adding and using the VAE (Variational Autoencoder) feature for image refinement.

Demonstration of improved image quality with the integration of VAE.

How to use negative prompts effectively to avoid common image generation errors.

Tips for easy implementation of the 'Easy Negative' function to streamline the use of negative prompts.

Comparison of image generation results with and without the use of VAE and Easy Negative.

Suggestions for further improving image quality by tweaking additional settings.

Closing remarks emphasizing the usefulness of the covered tools for AI image generation beginners.