Using Stable Diffusion (In 5 Minutes!!)

Royal Skies
29 Sept 202204:23

TLDRThe speaker discusses their preference for using the official stable diffusion site for AI image generation, citing support for the developers and accessibility for users without advanced technical skills. The video outlines the site's features, such as the image dimension slider, CFG setting for prompt adherence, steps for diffusion time, and the number of images generated. It also explores the image editor's capabilities and minor glitches, offering tips on using the tools for image scaling, erasing, and restoring. The speaker encourages experimentation with settings for desired outcomes.


  • 🌟 The speaker is using the official stable diffusion site for AI image generation, showing support for the developers.
  • πŸ’‘ The site chosen is accessible to the average user, not requiring specialized technical knowledge or equipment.
  • πŸ–ΌοΈ The interface features a weapon height slider controller for adjusting image dimensions, catering to different use cases like wallpapers or mobile phone screens.
  • πŸ“ The CFG setting determines how closely the AI follows the user's prompt, with a default of 7 offering a balance between accuracy and creativity.
  • πŸ•’ The steps setting controls the time spent on generating the image, with higher settings resulting in more sophisticated outputs but taking longer.
  • πŸ”’ The number of images setting allows users to choose how many variations of the image they want to generate per prompt.
  • πŸ” The sampler setting offers different algorithms for image generation, though the speaker admits to not knowing their specific effects.
  • 🎨 The site includes an image editor similar to Dolly, allowing users to scale, pan, erase, and restore parts of the image.
  • 🐞 The image editor has some glitches, such as tools not appearing in Firefox and brush issues when the mouse goes outside the canvas.
  • πŸ”„ The image opacity setting can be used to mutate an image, with greater transparency leading to more aggressive mutations.
  • 🎢 The speaker wishes viewers a fantastic day and encourages them to explore the site's capabilities.

Q & A

  • What is the primary reason the speaker chooses to use the official stable diffusion site for their AI generator series?

    -The primary reason is to support the developers of the AI, as purchasing credits on their site directly funds product improvements.

  • Why does the speaker emphasize the importance of accessibility for the average user when selecting the AI generator site?

    -The speaker emphasizes accessibility because most people do not have custom-built PCs, knowledge of GitHub or command prompts, or the time and resources to train AI locally. The speaker wants the series to be easy for everyone to use.

  • What are the default settings for the theme and the CFG slider on the AI generator site?

    -The default theme is dark, and the CFG slider, which controls how literally the AI follows the prompt, defaults to 7.

  • What happens when the CFG slider is set to zero versus when it is set to the maximum?

    -Setting the CFG slider to zero results in completely unrelated images, while setting it to the maximum gives the closest match to the prompt word for word, though it may not be as experimental or creative.

  • How does the 'Steps' setting affect the image generation process?

    -The 'Steps' setting determines how much extra time the AI spends diffusing the image. A lower setting results in faster image completion but may lack sophistication, while a higher setting takes longer but produces more refined images.

  • What does the 'Number of Images' setting control?

    -The 'Number of Images' setting controls how many images are generated each time the user runs the AI generator.

  • What is the speaker's level of understanding regarding the 'Sampler' setting?

    -The speaker admits to having zero idea what the 'Sampler' setting does and its impact on the image generation process.

  • What is the image editor's function on the AI generator site?

    -The image editor allows users to upload any image and then scale, pan, erase, or restore parts of it, similar to the Dali brush tool.

  • What browser compatibility issue is mentioned in the script for the image editor tools?

    -There is a glitch where the image editor tools do not appear if you are using Firefox; the speaker notes that the tools only work in Google Chrome.

  • How can the 'Image Opacity' setting be used to mutate an image?

    -The 'Image Opacity' setting can be used to mutate an image by adjusting the transparency; the more transparent it is, the more aggressive the mutation will be.

  • What is the speaker's final advice for users of the AI generator site?

    -The speaker advises users to choose their settings, write their prompt, and enjoy using the AI generator, hoping that they have a fantastic day.



🌟 Introduction to Stable Diffusion AI Generator

The speaker introduces the Stable Diffusion AI generator, emphasizing their preference for using the official site due to support for the developers and accessibility for the average user. They mention that while the software can be installed locally, many users may not have the resources or knowledge to do so. The official site is paid but efficient, with a link provided in the description for those interested. The speaker also mentions alternative free options, albeit slower.



πŸ’‘Stable Diffusion

Stable Diffusion is an open-source AI model designed for generating digital images based on textual descriptions. It exemplifies a significant advancement in AI technology, allowing users to create complex and detailed visuals by merely typing in prompts. In the script, it's mentioned as the primary tool being utilized for a series of tutorials, chosen for its capabilities and the ethos of supporting its developers. The emphasis on using the official Stable Diffusion site underscores a commitment to directly contribute to the ongoing development and improvement of the AI, benefiting the wider user community.


Accessibility in the context of this video script refers to the ease with which average users can engage with and utilize Stable Diffusion without needing specialized knowledge or hardware. The creator highlights a desire to keep the series 'accessible to the average dude,' acknowledging that not everyone has the technical expertise to install software from GitHub or the resources to train AI models locally. This focus on accessibility ensures that more people can explore AI image generation, regardless of their background in technology.

πŸ’‘Configuration settings (CFG)

CFG, or configuration settings, in the script refers to a specific parameter within Stable Diffusion that controls how closely the AI follows the input prompt when generating images. A CFG setting of seven is mentioned as a balanced choice, providing a mix of adherence to the prompt with a degree of creative interpretation by the AI. This setting is crucial for users to understand as it influences the output's relevance to the requested description and its originality.


In the video script, 'steps' refer to a setting in Stable Diffusion that determines the amount of processing the AI undertakes to generate an image. Adjusting the steps affects the image's clarity and sophistication, with higher values leading to more detailed outputs but also longer generation times. This concept is important for users to understand how to balance quality with efficiency, especially when generating complex images.


The term 'sampler' within the script points to a selection of algorithms Stable Diffusion uses to interpret the input prompt and generate images. The script mentions various samplers without a clear understanding of their distinct effects, indicating a nuanced aspect of AI image generation that even experienced users may not fully grasp. Samplers like 'KLMS' and 'DDIM' offer different approaches to navigating the vast possibility space of generated images, affecting the style and characteristics of the output.

πŸ’‘Image Editor

The Image Editor is mentioned as a feature akin to what's found in DALLΒ·E, allowing users to modify generated images directly within the Stable Diffusion platform. This tool supports operations such as scaling, panning, erasing, and restoring parts of the image. Its inclusion in the script underscores the versatility of Stable Diffusion as not just an image generator but also a platform for further artistic creation and refinement.

πŸ’‘Image Opacity

Image opacity, as discussed in the script, relates to a feature within the image editor that controls the transparency of the generated image. Adjusting opacity is part of the process to 'mutate' an image, influencing how aggressively the AI alters the original content based on new prompts. This concept illustrates the depth of customization possible with AI-generated imagery, allowing for subtle to significant transformations.


Mutation refers to the process of altering an existing AI-generated image by adjusting its opacity and then applying a new prompt for the AI to interpret. This process, as described in the script, allows for the creative evolution of an image, pushing the boundaries of the original generation to explore new artistic directions. The term encapsulates the dynamic and interactive nature of working with AI in the creative process.

πŸ’‘Supporting Developers

Supporting developers is a theme mentioned early in the transcript, highlighting the video creator's intention to use the official Stable Diffusion site for generating AI images. The purchase of credits, as mentioned, directly benefits the developers by providing them with resources to further improve the software. This approach reflects a broader ethos within certain technology and software communities, where users actively contribute to the sustainability and growth of the tools they use.


Dimensions, in the context of the script, refer to the ability to adjust the width and height of the generated images to suit different needs, such as creating wallpapers or mobile phone backgrounds. This feature is facilitated through a 'weapon height slider controller,' which allows users to customize the aspect ratio of their images. Understanding how to manipulate dimensions is key for users wanting to tailor AI-generated imagery for specific applications or aesthetics.


The speaker expresses support for an AI generator and its development team, emphasizing the importance of contributing to open-source projects.

The decision to use the official stable diffusion site is influenced by two main reasons: supporting the AI's development and ensuring accessibility for the average user.

The site's user-friendly interface and dark theme are mentioned as positive features that contribute to the legitimacy and appeal of the platform.

The weapon height slider controller is introduced as a unique feature that allows users to customize the dimensions of the image according to their needs.

CFG setting determines the adherence of the AI to the user's prompt, with a range from zero to Max, offering a balance between experimental and literal interpretations.

The steps setting controls the time spent on image diffusion, with lower settings resulting in faster, albeit less sophisticated images, and higher settings producing more refined results.

The number of images setting allows users to choose how many images they receive per generation, providing flexibility in output quantity.

Sampler settings, such as klms, kdpm2, and ddim, are acknowledged, though their exact effects are not fully understood by the speaker.

The image editor feature is highlighted, allowing users to upload and modify images with various tools, similar to Dolly.

The brush tool in the image editor is described, with adjustable size, sharpness, and strength, offering users control over image manipulation.

A glitch affecting the image editor in Firefox is mentioned, with the issue being specific to that browser and not present in Google Chrome.

The restore brush is explained as a tool to revert changes made with the erase brush, providing users with an easy way to undo modifications.

The original image can be viewed alongside the edited version, allowing users to compare and switch between them easily.

Image mutation is achieved through the use of image opacity, with varying levels of transparency leading to more or less aggressive mutations.

The platform's ability to generate images based on user prompts is emphasized, showcasing its practical applications in creating customized content.

The speaker encourages users to explore the platform and share their experiences, fostering a sense of community and collaboration.