Stable diffusion 人気モデルのAnything系を徹底比較！秘密が明らかに！！

AI is in wonderland
16 May 202318:10

TLDRIn this video, the assistant explores the differences in art styles generated by various versions of the Anything series, including V3, V4, v4.5, and V5. The assistant also discusses the installation of a browser extension for easily finding DALL-E tags and shares a method for visualizing prompt tendencies using an image. The comparison is made using the XYZ plot and includes an examination of negative embeddings with Easy Negative, Easy Negative V2, and Deep Negative. The video concludes with a comparison of the Enchanting series models, highlighting the distinct characteristics and preferences in art style across different versions.

Takeaways

  • 🎨 The video discusses the differences in art styles generated by various versions of the Anything series, including V3, V4, v4.5, and V5.
  • 🖌️ The authorship of Buiyon and v4.5 is the same, but different from V3 and V5, with rumors suggesting Buiyon is a successor to V3.
  • 📌 The video provides a tutorial on finding and using a browser extension to access Danbooru tags without visiting the website.
  • 🔧 The video demonstrates how to install and use the 'BoolTag Auto Compression, Prompting' extension to enhance the tag suggestion feature.
  • 📊 The presenter shares a method to visualize the tendencies of prompts using a program written by Chat GPT and explores prompts from images.
  • 🖼️ The comparison of the Enchanting series is done using XYZ plots, with a focus on the image of a girl doing gymnastics.
  • 🎨 The differences between Easy Negative, Easy Negative V2, and Deep Negative are highlighted, with notable distinctions in facial expressions and lighting.
  • 🔍 The video provides detailed observations on the art styles, such as the use of thicker lines and softer colors in v4.5 compared to V5.
  • 🌐 The presenter's preference for the art style is Easy Negative V2 with Enchanting v4.5, appreciating the vivid and soft dreamlike impression.
  • 💬 The video concludes with a call to action for viewers to subscribe, like, and comment with suggestions for future content.
  • 📹 The video is lengthy but informative, offering insights into the nuances of different AI-generated art styles and their potential applications.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is to explore and compare the differences in art styles produced by various versions of the Anything series, including V3, V4, v4.5, and V5.

  • Which versions are said to be created by the same author?

    -Buyon and v4.5 are said to be created by the same author.

  • What is the rumored relationship between Buyon and V3?

    -There is a rumor that Buyon is the successor to V3, but the truth is unknown.

  • How can viewers find the Danbox tags without visiting the Danbox site?

    -Viewers can use an extension called 'Automatic Ileven Ileven' that suggests Danbox tags as you type. It is available by checking the 'Awailable' box in the extension settings of the program 'All Test First'.

  • What is the purpose of the 'Bool Tag Auto Compression, Prompting' extension?

    -The 'Bool Tag Auto Compression, Prompting' extension is designed to automatically suggest Danbox tags as users type, making it easier to create prompts without directly visiting the Danbox website.

  • How can users increase the number of suggestions provided by the Danbox tag extension?

    -Users can increase the number of suggestions by going to the settings of the 'Automatic Ileven Ileven' extension, selecting 'Tag Auto Complete', and changing the 'Maximum Results' to a higher number, such as 20.

  • What is the method introduced for studying prompts from images?

    -The method introduced is to use a program written by Chat GPT to visualize the tendencies in prompts from publicly available prompts. Users can save prompts from images in a text file and upload it to Google Colab to see the visualization of the data.

  • What are the differences between Easy Negative, Easy Negative V2, and Deep Negative?

    -Easy Negative and Easy Negative V2 both produce anime-style images with a cute aesthetic, focusing on facial expressions and lighting. Deep Negative, on the other hand, results in more emotionless faces with a flat painting style, not emphasizing facial lighting or expressions.

  • How does the video demonstrate the differences between the versions of the Anything series?

    -The video uses an XYZ plot to compare the art styles of different versions of the Anything series. It generates images with the same prompt and settings but different versions of the models, highlighting the differences in color schemes, line work, and overall aesthetic.

  • What are the distinctive features of the V3 and V5 series compared to V4.5?

    -The V3 and V5 series have a stronger blue tint and more defined lines, with V3 specifically capturing the 'sparkling sweat' effect. V4.5 has a softer feel with less intense colors and outlines, giving a more dreamy impression.

  • What is the narrator's personal preference regarding the versions of the Anything series?

    -The narrator prefers the Easy Negative V2 for its anime-style aesthetic and the v4.5 for its softer and more unified visual impression.

  • How can viewers access the content of the video?

    -The video content is available on the narrator's channel, and viewers are encouraged to subscribe and like the video for more helpful and enjoyable content.

Outlines

00:00

🎨 Exploring Artistic Styles in Engineering

This paragraph introduces the topic of exploring different artistic styles using various versions of the 'anything' series in engineering, specifically V3, V4, v4.5, and V5. It mentions the authorship of the versions and the rumored lineage between them. The speaker, Alice, expresses her intention to analyze how the artistic styles differ across these versions. Additionally, the paragraph discusses a browser extension that allows users to find 'dumb box' tags without visiting the website directly, providing a step-by-step guide on how to use it and customize its settings.

05:02

🖼️ Analyzing Prompts through Images

This section delves into a method of prompt analysis by examining images to understand the prompts used. The speaker guides the audience through the process of collecting image prompts, saving them, and uploading them to Google Colab to visualize the frequency of certain words. The goal is to gain insights into the tendencies of prompts used in public projects. The paragraph also touches on the stable environment for prompt analysis and provides instructions on how to copy positive prompts from a video tutorial into a memo app.

10:06

📊 Comparing Engineering Series with XYZ Plots

The speaker uses XYZ plots to compare the differences between the Engineering series, including anything V3, v4.5, V5, and the negative embeddings Easy Negative, Easy Negative V2, and Deep Negative. The comparison is made using an image of a girl doing gymnastics. The paragraph details the process of selecting models, adjusting settings, and generating images for comparison. It also discusses the user's personal preference for the Easy Negative V2 and the differences observed between the Easy Negative and Deep Negative styles.

15:07

🌟 Final Thoughts and Comparison Summary

In the conclusion, the speaker shares the results of the image comparison, highlighting the distinct styles of different versions of the Engineering series. The paragraph discusses the characteristics of Easy Negative V2 and V5, the differences in facial expressions and lighting between Deep Negative and Easy Negative, and the overall visual preferences of the speaker. The speaker also reflects on the comparison between V3 and V5 series, noting the differences in color saturation, line clarity, and background details. The paragraph ends with a call to action for viewers to subscribe and provide feedback for future content.

Mindmap

Keywords

💡Anything series

The 'Anything series' refers to a set of versions or iterations of a specific technology or software, in this case likely referring to a generative AI model or tool capable of creating diverse outputs based on input parameters. The video discusses different versions such as V3, V4, V4.5, and V5, indicating a progression or evolution in capabilities, features, or perhaps the style and quality of the outputs. Each version is mentioned in the context of comparing artistic styles, suggesting that the series has variations in how it interprets and executes on the given prompts.

💡Painting style differences

The discussion on 'painting style differences' within the Anything series highlights a focus on the artistic output variations that different versions of the software produce. This is central to understanding the video's theme, as it delves into the nuances of how each version interprets artistic prompts, affecting factors such as color saturation, line definition, and overall aesthetic appeal. Examples from the script include comparing the outputs of versions like V3, V4.5, and V5 to see how they handle aspects like facial expressions and background detailing differently.

💡Authors

The mention of 'authors' in the video script points to the creators or developers behind different versions of the Anything series. It's noted that V3 and V4.5 share the same author, while V5's creator is different and reportedly unrelated to the V4 series. This information is significant as it suggests that the artistic style differences between versions may stem from the unique creative visions or technical approaches of their respective authors, impacting the generative models' interpretation and rendering of prompts.

💡Extension feature

The 'extension feature' refers to a browser or software add-on that enhances functionality, in this context, enabling users to easily find and use specific tags (in this case, 'cardboard tags') without visiting the original site. This feature's discussion in the video illustrates a practical tool for streamlining creative workflows, especially for users engaged in generating content using the Anything series or similar platforms. It signifies an intersection of technology and user experience, making it easier for creators to achieve desired outcomes.

💡Cardboard tags

Mentioned in the context of an extension feature, 'cardboard tags' are likely specific keywords or identifiers used within a digital platform or tool related to the Anything series. These tags assist users in categorizing, discovering, or applying certain features or styles to their generative artwork. Discussing how to find and use these tags without navigating away from one's current workspace underscores the video's focus on efficiency and user-friendly practices in digital creativity.

💡Prompt research methods

The script introduces 'prompt research methods' as strategies for uncovering or understanding the types of prompts users can employ to generate specific outcomes with the Anything series or similar tools. This includes analyzing publicly shared prompts for trends or unique applications. It emphasizes a meta-level engagement with the creative process, where understanding how to craft effective prompts becomes a skillset, enhancing the ability to produce desired artistic or generative results.

💡Negative prompting

Negative prompting is discussed in relation to generating images with the Anything series, indicating a method of specifying what the model should avoid including in its outputs. This concept is crucial for fine-tuning the creative process, allowing users to exclude undesired elements or styles from their generated artwork. Examples like 'Easy Negative' and 'Deep Negative' suggest variations in how stringently the model excludes certain features, affecting the final image's appearance.

💡High-resolution (High-res) images

The script mentions using high-resolution, or 'high-res', images, highlighting a concern with the quality and detail of generated artwork. High-res refers to images with a high pixel density, offering greater clarity and detail. This is particularly relevant when comparing the output of different versions of the Anything series, as it affects the viewer's ability to discern nuances in artistic style and rendering quality among versions.

💡XYZ plot

The 'XYZ plot' is introduced as a tool or method for comparing different models or versions within the Anything series, likely visualizing the variations in outputs based on certain parameters or dimensions. This tool enables a structured comparison of the effects of different negative promptings or version differences on the generated images, offering a quantitative approach to understanding the qualitative differences in artistic output.

💡Seed value

Seed value refers to an initial value input into a generative model to ensure the reproducibility of random processes. In the context of comparing images generated by the Anything series, maintaining the same seed value across different models or settings allows for a fair comparison by ensuring that each model's output variability is due to the model itself rather than random chance. This is key for systematically evaluating the impact of version changes or different settings on the generative outcomes.

Highlights

Introduction to the variety of Anything versions, including V3, V4, v4.5, and V5.

Discussion on the authorship and relationships between different versions of the Anything series.

Explanation of a browser extension that allows users to find Dumble tags without visiting the Dumble website.

Step-by-step guide on how to install and use the 'BoolTag Auto Compression, Prompting' extension.

Demonstration of how to increase the number of suggested tags from the initial five to ten and then to twenty.

Introduction of a method to visually analyze the tendencies of prompts from images using a program written by Chat GPT.

Comparison of the Enchanting series using XYZ plots, including the differences in画风 (art style).

Exploration of the differences between the V3 and V5 series, and the V4.5 series in terms of art style and characteristics.

Comparison of the different Negative Embodiments, including Easy Negative, Easy Negative V2, and Deep Negative.

Presentation of the results of image generation using various versions of the Enchanting series and Negative Embodiments.

Detailed analysis of the differences in facial expressions, lighting, and background details between Easy Negative V2 and Easy Negative.

Observation that V3 and V5 series have stronger outlines and more vibrant colors compared to V4.5.

Discussion on the potential for larger deformities in V3 and V5 series and improvements in newer versions like v4.5 and V5.

Personal preference for using Easy Negative V2 with the Enchanting v4.5 model for creating cute girl images.

Invitation for viewers to share their preferences and suggestions for future video content.

Appreciation for viewers' continued support and encouragement to continue creating useful and enjoyable content.

Farewell message to viewers, accompanied by a short movie of image comparisons.

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