【初心者必見！】AIイラストのプロンプトの書き方をわかりやすく解説（Stable Diffusion）

とうや【AIイラストLab.】
14 Oct 202314:49

TLDRThe video script discusses the process of creating AI-generated illustrations, emphasizing the importance of understanding and utilizing prompts effectively. It explains how prompts are translated into images using Stable Diffusion, a text-to-image AI model. The video delves into the categorization of prompts into quality, outfit, and background, and how changing these prompts can significantly alter the resulting image. It also explores the mechanism behind Stable Diffusion and offers tips on how to find and create effective prompts, suggesting resources such as Stable Diffusion's WEBUI, Twitter accounts sharing AI art, and AI illustration posting sites.

Takeaways

  • 🎨 The video discusses the process of creating high-level videos using AI to generate cute illustrations and the importance of understanding the basics.
  • 💬 The viewer's comment highlights the desire for clear explanations on how prompts work in AI-generated images, especially when transitioning from basic to advanced techniques.
  • 🖌️ The video explains the mechanism of Stable Diffusion, a text-to-image AI, and how prompts are used to generate images, including the transformation from text to数值 (numerical values).
  • 🔍 The process of image generation involves using a 'clip' (text encoder) to convert text into numerical values, which are then used to create images by progressively removing noise.
  • 📸 The video provides a step-by-step look at how an image is generated over 20 steps, showing the evolution from noise to a clear, cute girl standing outdoors in a school uniform.
  • 🌟 The impact of prompts on the final image is categorized into three groups: Quality (affects the entire image), Single (affects specific parts), and Background (affects the setting).
  • 🔧 The video discusses the use of a tool called 'Darum' to visualize how each prompt influences different parts of the image through a heatmap.
  • 📝 Tips for writing effective prompts are given, such as using negative prompts to significantly alter the image and the importance of choosing the right model in Stable Diffusion for the desired art style.
  • 🔍 The video suggests methods for finding prompts, including extracting them from existing images using Stable Diffusion's WEB UI, analyzing images on Twitter for shared prompts, and following AI art accounts for inspiration.
  • 🌐 The importance of gathering information on prompts is emphasized, as there is a wealth of shared knowledge and examples available online.
  • 💡 The video concludes with a call to action for viewers to share their thoughts and feedback in the comments, emphasizing the community aspect of AI art creation.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about creating high-level AI-generated illustrations using prompts and understanding how prompts influence the final image in Stable Diffusion.

  • How does the video address the concept of prompts?

    -The video explains that prompts are textual inputs that guide the AI in generating images. It discusses the importance of understanding the structure and function of prompts to create desired images effectively.

  • What is the significance of the 'Stable Diffusion' mentioned in the script?

    -Stable Diffusion is an AI model used for text-to-image generation. The video uses it as a basis to explain how prompts are converted into images and how different types of prompts can alter the output.

  • How does the video demonstrate the process of image generation from text?

    -The video provides a step-by-step explanation of how Stable Diffusion uses a text encoder to convert prompts into numerical values, which are then used to generate images by progressively removing noise.

  • What are the three main categories of prompts mentioned in the video?

    -The three main categories of prompts mentioned are Quality (which affects the overall image), Outfit (which affects specific parts of the image like clothing), and Background (which affects the setting of the image).

  • How can one find and use effective prompts for AI illustration?

    -The video suggests several methods for finding effective prompts, including extracting prompts from existing images using Stable Diffusion's WEBUI, following AI art accounts on Twitter for shared prompts, and exploring AI illustration submission sites where images and prompts are published together.

  • What is the role of 'gating clip' in the process of understanding prompts?

    -The 'gating clip' is a tool used in Stable Diffusion's WEBUI that initiates the analysis of an image to display the prompts associated with it, helping users understand how different prompts contribute to the final image.

  • How does changing a single prompt word impact the image?

    -Changing a single prompt word can significantly alter the image. For example, changing 'red' to 'blue' can affect the entire image, while 'blond' only affects hair color. The impact depends on how the prompt is weighted by the AI during the image generation process.

  • What is the importance of understanding the effect range of prompts?

    -Understanding the effect range of prompts is crucial as it helps in making informed decisions about what to include in the prompt to achieve the desired outcome in the generated image. It allows for more precise control over the final illustration.

  • How does the video suggest using prompts to change the pose and composition of a character?

    -The video suggests that by adding specific words or phrases to the prompt that describe desired elements or features, such as 'boots and socks' or 'collarbone,' one can influence the pose and composition of the character in the generated image.

  • What is the role of 'DALL-E' in finding prompts?

    -The video mentions 'DALL-E' as a tool that can visualize how different prompts affect the image, represented as a heatmap. It helps users understand which parts of the image are influenced by which prompts.

  • What is the significance of the 'Image 2 Image' tab in Stable Diffusion's WEBUI?

    -The 'Image 2 Image' tab in Stable Diffusion's WEBUI allows users to drag and drop an image for analysis, which then initiates the process of extracting and displaying the prompts that contributed to the creation of that image.

Outlines

00:00

🎨 Understanding AI Art Prompts

This paragraph discusses the importance of understanding AI art prompts, especially when using Stable Diffusion for creating illustrations. It highlights a user's comment seeking a high-level video that explains the basics of prompts. The speaker intends to cover how prompts are used to create images, the process from text to image, and the significance of foundational knowledge in creating desired AI art. The focus is on explaining how prompts can be modified to alter the resulting images and the importance of understanding the mechanism behind Stable Diffusion and other image generation AIs.

05:02

🖌️ The Mechanics of Prompts in AI Art

This section delves into the mechanics of how prompts are used in AI art, specifically in Stable Diffusion, to generate images. It explains the role of text encoders in converting text to numerical values, which are then used to create images by gradually removing noise. The paragraph also discusses the impact of prompts on different parts of the generated image, such as the character's appearance and the background. It introduces tools like 'Darm' that visualize how prompts influence different areas of the image, and categorizes prompts into quality, single-fit, and background to better understand their effects on the final artwork.

10:04

🔍 Finding and Applying AI Art Prompts

The final paragraph focuses on how to find and apply AI art prompts effectively. It suggests methods for extracting prompts from existing images using Stable Diffusion's web interface and explores communities where people share their prompts, such as on Twitter and AI art submission sites. The speaker also mentions the importance of understanding the impact of different types of prompts on the generated image, emphasizing that even small changes in prompts can significantly alter the artwork. The paragraph concludes with an encouragement for viewers to actively collect prompts and engage with the AI art community for inspiration and knowledge.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from text prompts. It is mentioned as the primary tool for creating illustrations in the video. The process involves converting text into numerical values, which are then used to generate an image through a series of steps that progressively refine the image quality.

💡Text-to-Image

Text-to-Image refers to the process of creating visual content from textual descriptions. In the context of the video, this is achieved through AI models like Stable Diffusion, where the user inputs a text prompt, and the AI generates an image that matches the description.

💡Prompt

A prompt is a textual input that guides the AI in generating a specific image. It is crucial in text-to-image AI models as it provides the necessary information for the AI to create the desired visual content.

💡Image Quality

Image quality refers to the visual clarity and aesthetic appeal of the generated images. In the context of AI-generated art, it can be influenced by various factors, including the choice of words in the prompt, the AI model used, and the settings applied during the generation process.

💡Outfit

Outfit refers to the clothing or costume worn by a character in an image. In the context of AI-generated art, specifying an outfit in the prompt can change the character's appearance and the overall composition of the image.

💡Background

Background in AI-generated art refers to the setting or environment surrounding the main subject. It can be specified in the prompt to create a context or atmosphere for the image, affecting the overall mood and narrative of the visual content.

💡Photo Style

Photo Style refers to the artistic or visual style that an image embodies. In the context of AI-generated art, photo style can be manipulated through prompts to mimic real-life photography techniques, such as specifying camera models and lens settings to achieve a particular look.

💡Negative Prompt

A negative prompt is a term or word in a text prompt that instructs the AI to avoid including certain elements in the generated image. It is used to control the content and composition of the artwork by explicitly stating what should not be present.

💡Heatmap

A heatmap is a visual representation that uses color gradients to indicate the influence of different prompts on various parts of the generated image. It helps users understand how specific words in the prompt affect the resulting artwork, allowing for more informed adjustments to the text prompts.

💡Image Segmentation

Image segmentation is the process of dividing an image into multiple segments or parts, often to simplify or change the analysis of the image content. In AI-generated art, segmentation can be used to compare and refine the noise image with the prompts, focusing on specific areas of the image.

💡AI Illustration Lab

AI Illustration Lab refers to the process or environment where AI-generated art is created and experimented with. It can involve using various AI models, exploring different prompts, and learning how to manipulate these tools to achieve desired artistic outcomes.

💡Image-to-Image

Image-to-Image is a feature in some AI tools that allows users to transform one image into another by providing a starting image and a desired outcome. This can be used to modify existing images or to create new ones based on a template.

Highlights

AI is used to create cute illustrations, and understanding the basics can greatly improve the quality of videos.

Comments on videos can request high-level content, which can be achieved by understanding foundational aspects.

The video explains the mechanism of Stable Diffusion and how prompts are used to generate images.

The importance of understanding the foundational knowledge of prompts when creating AI videos is emphasized.

The video provides an explanation of how prompts are written and how they affect the resulting images.

The process of creating an image through Stable Diffusion involves converting text to numerical values and refining them over multiple steps.

The video includes a demonstration of how images evolve from noise to a clear illustration over 20 steps.

The concept of segmentation in image generation is introduced, where the image is broken down and compared with prompts.

The video discusses the impact of prompts on different parts of the image, such as the entire image, specific areas, or individual elements.

Tools like DALL-E can visualize how each prompt affects the image, showing the influence in a heatmap.

The video categorizes prompts into quality, outfit, and background, each affecting the image differently.

Examples are given on how changing prompts can alter the image, such as adding boots and socks to a character.

The video explains how to use prompts to specify the pose and composition of the character in the image.

Background elements in prompts can significantly change the setting of the generated image.

Quality prompts can alter the overall feel of the image, such as making it look like a photo or a painting.

The video discusses the influence of camera models and settings on the background and overall image quality.

Various methods to find and collect prompts are introduced, including extracting them from existing images.

The video encourages active information gathering and exploration of prompts for creating better AI-generated illustrations.

The video concludes with a summary of the importance of understanding prompt writing and encourages feedback from viewers.