ネガティブエンベッドの導入と使用方法解説！もう長いプロンプトはおしまい！【Stable Diffusion】

The video provides an introduction to the concept of negative embeds in the context of Stable Diffusion, a tool used for AI-generated images. The host explains that negative prompts can be cumbersome, leading to the use of negative embeds, which are essentially pre-prepared instructions for the AI to avoid certain outcomes. The video demonstrates how to use 'EasyNegative', a popular negative embed, by downloading it from Hugging Face and incorporating it into the AI's web UI. The process is simple: users just need to input 'EasyNegative' in the negative prompt line to enhance image quality significantly. The video also briefly mentions other embeds like 'Bad Prompt 1 and 2', 'Bad Artist', and 'Deep Negative', each with specific use cases and recommendations. The host encourages viewers to experiment and find their preferred embed to improve their AI-generated images.

Takeaways

• 📝 Negative prompts in AI can be cumbersome, but negative embeds offer a solution by allowing AI to learn from files instead of lengthy instructions.
• 🔍 Embeds are like memos for AI, containing instructions for what not to do, which can be reused without repeating the same negative prompts.
• 🚀 EasyNegative is a representative negative embed that can be accessed through Hugging Face and used to enhance AI image generation.
• 📚 To use EasyNegative, download the SafeTensors file and place it in the embeddings folder of the web UI's install directory.
• ⚙️ After launching the web UI, simply type 'EasyNegative' in the negative prompt line to apply it to your AI image generation.
• 📈 The effects of EasyNegative can be adjusted by multiplying it, such as using 'EasyNegative 1.5 times' for clearer results.
• 💾 Save your customized prompts as templates for easy reuse in the future.
• 🗑️ The web UI allows for easy deletion of all entered prompts and quick access to saved templates.
• 📈 Other negative embeds like 'Bad Prompt 1 and 2', 'Bad Artist', and 'Deep Negative' offer different focuses and can be combined with EasyNegative for better results.
• 🎨 'Bad Artist' is an embed trained with the AnyThingV3-type model and is recommended for use with sketches.
• 🏛 'Deep Negative' is designed to prevent the collapse of the model and structure, and is best used in combination with quality prompts and other embeds.
• 🔬 Experimenting with different negative embeds can help find the most effective ones for your specific AI image generation needs.

Q & A

What is the main topic of the provided transcript?

The main topic of the transcript is the introduction and usage of negative embeds in Stable Diffusion, specifically focusing on a tool called EasyNegative.

Why do people tend to rely on negative embeds in Stable Diffusion?

People rely on negative embeds because entering negative prompts can be a hassle, and negative embeds offer a way to instruct the AI to avoid certain undesired outcomes without the need for lengthy prompts.

How does the EasyNegative embed work?

EasyNegative is a learning file that can be downloaded and added to the embeddings folder of the web UI. It is then called upon during the generation process by simply typing 'EasyNegative' in the negative prompt line.

What are some other negative embeds mentioned in the transcript?

Other negative embeds mentioned include 'Bad Prompt 1 and 2' by NerfGun3, 'Bad Artist' by NixerHatter59, and 'Deep Negative' by FapMagi.

How can one save a prompt with EasyNegative for future use?

To save a prompt with EasyNegative, one can click on the floppy button under the Generate button, name the prompt, and click OK. This will save the current prompt for future use.

What is the benefit of using EasyNegative 1.5 times in the prompt?

Using EasyNegative 1.5 times in the prompt can result in a clearer and crisper image, as it increases the emphasis on avoiding undesired features in the generated image.

How can one recall a saved prompt for use?

To recall a saved prompt, one can click on the second trash can button from the left, which will allow deletion of the current prompt. Then, by clicking on the Style column under the Generate button and selecting the saved template, the template will be pasted into the prompt column.

What is the purpose of the 'Deep Negative' embed?

The 'Deep Negative' embed is designed to prevent the collapse of the model and structure in generated images. It is recommended to use it in combination with quality prompts and other embeds for better results.

How does the author suggest using the 'Bad Prompt 1 and 2' embed?

The author suggests using the 'Bad Prompt 1 and 2' embed with about 0.8 times the correction for optimal results.

What is the significance of the 'Bad Artist' embed?

The 'Bad Artist' embed is trained with the AnyThingV3-type model and is used to generate images with a sketch-like style, as indicated by the phrase 'Sketch by Bad Artist'.

What is the final recommendation for someone new to using negative embeds?

For someone new to negative embeds, the author recommends starting with EasyNegative and, if they dare to add more, incorporating Deep Negative to the extent that it does not overly emphasize certain features.

Outlines

00:00

🤖 Introduction to Negative Embeds

This paragraph introduces the concept of negative prompts and embeddings in AI, focusing on the use of 'EasyNegative'. The speaker explains the frustration with negative prompts and how they can be circumvented using embeddings. The process involves downloading and installing 'EasyNegative SafeTensors' from Hugging Face, which can be used by simply typing 'EasyNegative' in the negative prompt line of a web UI. The paragraph demonstrates the significant impact of using EasyNegative on image quality and clarity, and also discusses the convenience of saving and reusing prompts as templates.

05:01

📚 Exploring Additional Negative Embeds

The second paragraph delves into other available negative embeds besides EasyNegative. It mentions 'Bad Prompt 1 and 2' by NerfGun3, recommending its use with a correction factor of about 0.8. The paragraph also covers 'Bad Artist' by NixerHatter59, which is designed for use with the AnyThingV3-type model. Additionally, 'Deep Negative' by FapMagi is introduced as a newer embed aimed at preventing model and structure collapse, suggesting its use in conjunction with quality prompts for better results. The speaker advises viewers to experiment with different embeds to find their preferred one and concludes with a reminder to maintain proper nutrition.

Keywords

Negative Embed

A negative embed in the context of the video refers to a learning file or a set of instructions that are used to guide an AI, specifically in the Stable Diffusion model, to avoid generating certain undesired features or outcomes. It is a method to streamline the process of instructing the AI to not perform certain tasks, which can be cumbersome with traditional negative prompts. In the video, the use of negative embeds is shown to improve the quality of AI-generated images by reducing the need for lengthy negative prompt inputs.

Stable Diffusion

Stable Diffusion is an AI model mentioned in the video that is capable of generating images based on textual prompts. It is the platform on which the negative embeds are applied to refine the output. The video discusses how negative embeds can be used within Stable Diffusion to improve the quality of generated images by avoiding common issues such as bad anatomy or blurry details.

EasyNegative

EasyNegative is a specific type of negative embed introduced in the video. It is a learning file created to help the AI avoid generating images with certain undesired characteristics. The video demonstrates how to use EasyNegative by simply typing it in the negative prompt line or using a UI function to add it, which significantly improves the clarity and quality of the generated images.

Embeddings

In the context of the video, embeddings are files that contain instructions or learned patterns that the AI can use to generate images. They are a form of memo that the AI can follow to produce desired outcomes without the need for the user to repeatedly input the same instructions. Embeddings are crucial for the operation of negative embeds in the AI model.

Hugging Face

Hugging Face is a platform mentioned in the video where users can access and search for various embeds, including EasyNegative. It serves as a repository for AI models and related files, allowing users to download and utilize them for their projects. In the video, Hugging Face is used to find and download the EasyNegative embed.

SafeTensors

SafeTensors is a file format mentioned in the video, which is used for the EasyNegative embed. It is a type of file that contains the necessary data for the AI to learn and apply the instructions from the embed. The video instructs users to download EasyNegative SafeTensors and place it in the embeddings folder for use with the AI model.

Web UI

Web UI stands for Web User Interface, which in the context of the video, is the interface through which users interact with the AI model, Stable Diffusion. It is where users input prompts and utilize embeds like EasyNegative to generate images. The video provides instructions on how to use the Web UI effectively with negative embeds.

Textual Inversion

Textual Inversion is a feature within the Web UI that allows users to access and utilize learned files or embeds. In the video, it is shown as a tab where the EasyNegative embed can be selected and added to the prompt line without typing, streamlining the process of instructing the AI.

Quality Prompts

Quality prompts are phrases or instructions given to the AI that guide it towards generating higher quality images. The video contrasts the use of quality prompts with negative embeds, suggesting that a combination of both can lead to better results. Quality prompts are an essential part of the process to emphasize the desired outcomes.

Upscaler

An upscaler, as mentioned in the video, is a tool or function that enhances the resolution or quality of an image. It is used in conjunction with embeds like EasyNegative to further improve the clarity of the generated images. The video suggests that even with an upscaler, the impact of using a negative embed like EasyNegative is significant.

Template

In the context of the video, a template refers to a saved set of prompts and settings that users can quickly load and use for generating images with the AI model. The video demonstrates how to save a prompt as a template, which can then be easily recalled and applied, saving time and ensuring consistency in the output.

Highlights

Negative prompts can be tedious to enter, leading to the use of negative embeds in Stable Diffusion.

Embeds are essentially instructions for AI, stored in a memo format.

Introducing EasyNegative, a negative embed that simplifies the process of inputting negative prompts.

To use EasyNegative, access Hugging Face, search for it, and download the SafeTensors file.

Place the downloaded EasyNegative file into the embeddings folder of the web UI installation.

Restart the web UI to apply the new embed.

EasyNegative can be invoked by simply typing its name in the negative prompt line.

EG Negative is a pre-existing memo that can be utilized without lengthy explanations.

Demonstration of generating an image using the web UI with and without EasyNegative.

The image generated with EasyNegative is crisper and clearer compared to one without it.

Adjusting the intensity of EasyNegative (e.g., 1.5 times) can further enhance image quality.

Saving a prompt with EasyNegative as a template allows for quick future use.

Deleting prompts and selecting saved templates can streamline the image generation process.

Other negative embeds like 'Bad Prompt 1 and 2', 'Bad Artist', and 'Deep Negative' offer different focuses and uses.

'Bad Prompt 1 and 2' is recommended for use with a correction factor of about 0.8.

The 'Bad Artist' embed is trained with the AnyThingV3-type model and is suggested for sketch-like images.

'Deep Negative' is designed to prevent model and structure collapse, best used in combination with other embeds.

EasyNegative is recommended as a starting point for those new to using negative embeds.

Experimenting with different embeds helps in finding the most suitable one for individual needs.